diff --git a/notebooks/manuscript_figures_master-revision.ipynb b/notebooks/manuscript_figures_master-revision.ipynb index 807101a..99dd48b 100644 --- a/notebooks/manuscript_figures_master-revision.ipynb +++ b/notebooks/manuscript_figures_master-revision.ipynb @@ -36,22 +36,9 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n", - "Bad key \"text.kerning_factor\" on line 4 in\n", - "/nobackup/sbhusha1/sw/miniconda3/envs/bhushan_PY3/lib/python3.6/site-packages/matplotlib/mpl-data/stylelib/_classic_test_patch.mplstyle.\n", - "You probably need to get an updated matplotlibrc file from\n", - "https://github.com/matplotlib/matplotlib/blob/v3.1.3/matplotlibrc.template\n", - "or from the matplotlib source distribution\n" - ] - } - ], + "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", @@ -75,7 +62,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -99,7 +86,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -159,7 +146,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -7559,7 +7546,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -7573,7 +7560,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -7716,7 +7703,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -8068,7 +8055,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -8105,245 +8092,1798 @@ }, { "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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cccUVba6fNGkSkyZNOk7WtI8wCcqqy8nOzaY+4sVpdyJUyOkenQ7kT8/+N/c98Auk1JgitzBl8sM4nHmYlATqSmupL6sjw5NB78G9ef+Nf3DuBeehWBWCZUGu++UDlIZLqQnU4EpyUR/wsm7tGnK7JGC2q+iaBW9DA0MGnUb5/gr+/a9Z/PjmWwhuWsCXG2spqbCwd08JZT6FLskelq7ezNpt+7jlujFs3LiJUDBE6Qn4RrojzJkzh8LCQvLy8trcbubMmUyYMAGr1UpBQQFFRUUsW7aM4cOHN9kuPz+fG264gblz5xIOh5k2bRoPPvggxcXF/Pa3v+WOO+5o5Qgt01gUoC2MB4/jz9SpU5k6dWpnm3FU6bCI0eJeAMWLlo4Qqm/quYGD3psD3w9P9BgcPgpGyNmJzMaNG9m4cWNnm3FU6KiIyXGdg006ydEzqA8LAhqoAswK2FWJWQE99iwc0g/+doalZKBjInZpIYyGQBAWEQbak3GaomM0ROCVio55cQy+B3oI0Y6HRpzEOTTGy+MOEpEaXTK68HgfFWeyAzyCitoK/OHo9CDnXzKEbxb8HiFqiVbSteFrsFO3rxYC0C+3P1XbqkghmcL+hcxd8xUNgQZ2l+3mm4ZvCFlDrN++nu92bWHHrhJsVjPpaSlkZGSQmJhASkoKmqaRnpnNr+65lz37yuk2fBy5eQWkpaWil60jq6An5bUBbvzxLSQPuZrlvjxW+XJ5YN4feOT1b3huwqudeg2PhBkzZhxS8e5///d/Oe2007j11luprq4GYM+ePeTmHpxrMicnhz179rQ4Zm5uLosXL2bUqFHcfPPNvP/++yxZsoTHHnvssO3r6MSaBgZt0aaXQ+ugh1oLfT8x09J+jeKmBQ9Oo80ycmK8lf4h0ZF5aAwM2qMtL0cPZ9svlRsZ6JhIb+d4nDIBu3SQbrGiyeh0JQ2RaHiZVYl6ZkK6QBIVNoqAsA5aLISpTngxo2LBhF1aqAnpVIckfq2pmGm0+e2nvz3yEzdoGS0MkUDbzQg5++ET9AV45uX/gcd+i+pUKa8qQ00pwZagMX710wwYoPHxzC9Q1V5MmfwIZsu1KJodU0DF7rAz4qfDWff1WsJZYZIcyYy5qA9rlq4mUBNkR+l2NjZsgHqgHkxIUlJS6VbYnZDfix4JcMmll7OzMsCidetxOR2MGH4exVs2Ub59PQV5Odz20DMsW7yApIQkdtSZ+PTTjxk88DTCoSAvPbiePzz1BJk5ebx82/vMmjWLCReficfjwWw2s2nTJqSEez6d0tmXuQmhUIhZs2bx1FNPHei78847efTRRxFC8Oijj/Kb3/yGV199tcW4z9jcLYcwduxYAPr374/X68XtduN2u7HZbNTU1JCYmNhhG42iAAZHgyaiICZKZGRRTKTEC4xm3pHGHJlDtmvmVWkLPXxonxLzO7YhippUQWu0vwXvjRGSdvh0pDSz4aExaI8ZT689sJzvuhiLtPDe0+vp7RzPJt9sRtpvRUEw3/9Kk/3Gue9kZv1fudx1B4OTBCZF4lB1ppfW0sMjcZkjhHSFmpACSMISzEr0f3A4JmoAPGaBRTGRKJOQEraF6nFiIsVsRxGgCsEX/qY5R40eI7t08M7Ta1AxsbHho0POzQhJO3yE1BDtlmbumKARQqjACmCPlHKMECIZeBfIB3YA10kpq2PbPgj8FNCAX0kpPzuiE2gH41mrA9z69g72lZZyz/O/4O577qDBuh5veAUuZ1/mff0pLhds2vQxN4wdy7btGzjn3HO58EIfP/lZH8gvxTVCpaRsN9e/OZi5FdPZVbWT5euXUbKjhECCHyWkYAvbyM/Ix2Gy06uoGxNuuImdAQ87G2yU60m8/dkKGvwBCosKSUlNoaK6DkxWug0azcvvzWbuvK8RiXlkZHfFZdIYfNUkFEXh7wtv569P3c+dEy5BqCZ0YeJHP/4JZocHi93FqtVryC8ooKiokD+e+2BnX+omzJ49m8GDB5Oenn6gLz09HVVVURSF22677UAOVk5OTpPKVbt37yYrK6vFca3W6MOeoigHlhu/RyKHV4fd8NAYHCkHBMGBZP1Q0yR+OFRQNG4T740J1bewXRveGT3ctLW1TeNy45ixYwox9FCPUCsY89gcPoaHxuBIaRQEo+0/JVFPYLj9J5xuv4kd3s+wShtWaWNbaClShtHQSLdYmZQ+ictdd3CR43au8tyJAKbk3UGeU6UypLCrQaU8aOLqtCSCuqAiaMIfUQ6EnAmioWO6jLZoMQDwa5KILpEShIAeNg95dhsBXceiCAKapEDL5ba0aHrB5MmPcJrjek5zXE9ItH1vMeaxOXyEHkZEgm22w/DQ3A3Ex10+AMyRUnYH5sS+I4ToA0wA+gKXAH+JiaGjjvGs1QHMZjP5ufkoQmC1qGRkJFJUlMOf/vQ7zj9/GDnZ2fTseSZOKTk7VaNy4T8oWzOb+fO/oMFbwc6dsxg6KoEPP/qI7dvKQZFcPPEMUMHf4MflcmG3Ozhr+EjuenYSg645l3/5v2V51XK+2bKaxZuK2eNVWLBuD//+5FPsDherVq2itj4a7jbminHsLS1HNVuoU1PwJKVS1LASr7eB1/5rJaPPvwy7J5nP5swnIsxU1DQgLA7WbN7BP+b+h/fnb2LVt98y9PSh/Dh9bCdf7YO88847h4Sb7du378DyRx99dKAM79ixY5kxYwbBYJDt27fz3XffccYZZxxzG018/4k1DQxapdHT0hj21dxb01y4tOaZaRQoYW/TsZqP2Z4dMWRwbtvbNxM7hqg5PDoiaIz7ikFbJKhmzJhQUDDFHvVs0oZGhHzL6QAs9r/Bp8EvmF9fTljXqZdBPqz7Kz08Aosi6WLTqA3BN/5d1MaS/q2KRABhCQlmjUSzRpo1gi6hJiSoCEr2ByTVIZ2wHs2hic/KUJXog6cmJQsja6nFx6KGUgD++vTneEUdPuFF49CXi3muC8h3Haxeaoiaw0QLQyTYdutADo0QIge4HHg5rnsc8EZs+Q3gyrj+GVLKoJRyO1AMHJOHM+NFTwfIGJfB1p3FZJo8WG0qJbu2Y7YEueuuWwkF5/POO+8Q3DWPPz74IAkJCdRoEUp27+ZnF25m00YfNlt3fve754GuEBRcc805/PulpaBCcnoy5Uo5Px7/Y1ZWr6LO0405xV/i2+eDWnCoTrIzssnPzsFbuY+E7kMoLvWytyZEXoEbq91FQnIaSr+zcGb24m9//W/uu+8+vvjqa0aPGsWyZcsYMGAQe2tClIXduBNTqKiooCzsJqFrf+74RX/0SJhVq1by9t/f4cc33cTYmisIazoTX/t5p11zn8/HF198wf/93/816b///vtZvXo1Qgjy8/MPrO/bty/XXXcdffr0wWQy8eKLLx7zCmdghJwZfA86khvTktgIe6MhYc3XNfe2xHtWDuc48eJFD0ePFfYeXKeFWi8c0Pyc4jxORqnnjiMwqpwZHBm3pk6iISwJ6BKPYkYIQYUWffkZEAGs0soOfTWN843Y1SSG2LrQyxNhdbUThVvYWKvjUFVsqiDNBhdaulIXjoaVJVqiQiPb0YAmFQKaSnXQiiKiOTUNER1NSoJSpy4SwIqZMBG6WlwoQhLWBU6TQlkwRBE98BEkLELkuM4hJH00UE1Zw3JUxUWefQQRInRzXkpYRO83VmljoGMiq33vAEap58NB6DpC19rfTojbgdvjuqZJKeMnjHwWuB9wx/WlSyn3AUgp9wkhusT6s4ElcdvtjvUddQxB0wGee3EU11x7EwIzJbu6U1VdSlVVCWPP+w879rt55JbRhPb3xiJ1Hpv6OMlZWZTs3o3Lbqeoex9SUiAhYTTLF+0G4J0/fUl9ST32nnauvPJKps18jje/eRPqYX39OvABDUAIsnKzKCooIuQLYba58Nbsp39GdwYPPI1Nm78j2ZaGJyOByrCNWbP+xc13/ZZt+6o5e+yPSE/PIMds4but2+le2IMqn0aJ38Wbr/yZBOqoxcMtt9xKgstO9569UXr14r+ffppJd92J1ebm1R/9H7e+FRU1n947g0uemXDcrrnD4aCysvKQ/unTp7e6z8MPP8zDDz/c5rg7duw4sHzzzTdz8803t7iuoxhlmw2OGNVysKRyvIhoqdJYi/s326Yx7+VwhExLNN9PMbecUxP2gtl18Hiq9WA+T5PxmobRxZd6Nso+t8zRmodGCLGDaHamBkSklEPbinU3OPl5teJFPLaeuNQuDFP7EdQlSYodiymDBOlmUfAfAAhhxWHJpo/eH7MCXWxBkq1OTk8xs6FWZY8/wo6Qn6SgHZuiIIHF+wW3FHnZWudhY23CgWMGNEF9WBDSoyLJrCjURcIERIBE7HiEmX2haHUtDQ2HsOAlyIUpbuojNkr9HnyaTkBqLIzMBnTy7CPY1vA5PZyXsaXhX+S6zsMsrSgoKFIw2H4Dq/x/P2BDfKlno+xzK2gRRKSdF2lSJyZeprW0WggxBiiXUq4UQpzTgaO29O7lmFQeMARNO/zpP1dT2f0SzKYMtm5dSY+e1QhlAwOLkhENgsEJIVIUK8UlJVh69caVkUFGn96EPKnM3hKk+LsFJCZewNbilQw+8wLSE7LBWoLVlsH77z/ItJnbQM/EbnUgggJdaNjtduxmO4NHDEHTNbIyMtmwYCMDBwxi3mf/QpjtSLOTHvlZVNXV43Y5QdcYdPqZOD1JPLficwbWCcaNv4oXX3mL2396M3XBCLUNYfKcyZiyh5Kal8foXkVs3LyE0wcPYMfeCjLSktlLJhW1fn4aNxHn549+xT/e+Cv/uO0VuqSmUFlbz1V/uanzfignEIaHxuBIOCQEq7UcmEYPSTytJewfjpDRY//UlBZKMDcXSo3CpSWvTEt5No3rmpxPVNTEi5fGaxB/LQxxE6UjguYwPDTnSikr4r43xrr/QQjxQOz7fx2ujQYnHo3eigRTNiHpY3bgY/yhPVhMaYQi+/FYzYx33cQ32gqqg9vJVweSYbGSaJEkWgOMSNPQpKCXhAy7ij/iojYsiOhwa69d7K1PoC5kJaQL6sMKfk0gaMyXAZsq0CXUaxEkkoiI4NcjVMsQhRYPe2KiZj91KEKhIijomxhka71KnR7GpZhxmdNJtRShEaav40ou9qSD5y72BwXfhIrRpY5JmLBJG2fZb2Gh/7Um4qXxGsSHoxniJko0h6ZtQSPaz6E5CxgrhLiM6DtdjxDiLaBMCJEZ885kAuWx7XcDuXH75wB7j8T+9jAETTvMfv8DvmIt519wCXlduxCJ1NJQXk5m164ofj8PvPQZPStWMfGq8Uz+05/o2asnWnU1yRtWc84lF7N90yo+WL6K/J6jycmp5I3X/x0bOR8w4XT1x25KRQ2r7C+v4OZbfsKizxfjkA6qIlUEq4LIsKSeejbu/o5+I0fyyRdfc9H55/DG2+9x9bhLqfM2IJKzeffVl8jO6cot/S+idH8VFT5B18LerDEHyA/YSM7KJyhsXH/znTz1xFQUqxNvg4OeahrZ/UbzwWvPcvd9D2O2WRnGhTw05UmenPIQX839muHnX0H5/lJSumSSlJrOKz95lQZvA7/64Jed+NPpfMwCLO08WYiTt6y7wbGmUSQ0CoJGsdLY31zMNAqFxhAwODwB01Z/o7iJH6/RA9PYFHPLIguahrzFL5tdsXFD7ebSGGFpURSioqYtvkfI2TjgnNjyG8A8DEHzg6IyvI1EUy4D1XOpc3jZGPgcRdiISElVOMRQZRADM4byUfU+GiI6n1VXs7TKxcgUK0urwuhS5/RkE0LAOen1BHUFXQpCejTELCyjv31Ok4yVa4awLgnr0XLNDkXFJUykiwy+kxV4pIuqcIQwsSZC5Mo0vvHt5StfiAp9J261C121PG5NPpPpNWtwk4RVWtlUp1GuN+AXfkzCREA04JKeA+c63P6TdnNpjLC0KKIjHpp2nCdSygeBBwFiHpr7pJQ/EkL8CfgJ8IfY58zYLrOAvwsh/gfIAroDy470HNrCeHncDvm3vsyAgecwaGA/kpO7kL19BzX//hgCQbRAkDd/dhF/ePRRVixZytCCfMaMHIncvp0IUPnVXMrMZu798U3s2Dyf2Z98g6J4sNr6Aancfc8LNGdaqG4AACAASURBVHhrqKjZj7RKuhZ2ZfXqNSSmJGK2mQlFQticNnxBH0ldkrA77XQt6srIMRfxwVdz+M1999EgrHw592sq9pWh6RAMhXEmJJOTX8SO/V4i1iTE1iALVq7HnZSGLww795ZRWNSDdRs24vP5mPXlQuxJGYisoSxcsoySQAK3PPgCJcFE8kdOJPv0sfgSejPr86+p9gaorg9gtbvp1X8Q7979r6N2rUtLS4/aWEeDDtljZO8aHCkt5dA0CoGw99BqZK0l9beEHmraOkL8tgc+wxCub7pdo5hpKY+nMTwtXvDEz2HTvEpbK3lEp3oRAaUDrYNI4HMhxMpYXDw0i3UHurS6t8FJh9WchUDFIqKxA16llp72C7BZ0iinnmJ1G+V6A8urIgwwZ5JoUeljSWG1XEBFUOBQVByqic11ki11Op/udbOx1sHi0ky2ex2UBiyYhcRh0g/8HkoJIV0ikQR1SVDXCeo63ohGd1MqWRY7dTJAhsmJLiT9TJnsFGX4RD1B4ed0MYL+sjvpZhsba3VC0ociFVRU/LrGyMQERjgz6ClyccskLNLMELcHHZ3F/jc43X4T/R3X0tM5jpH2WznH/tMWr80pX0RA10HX2m5HPg/NH4ALhRDfARfGviOlXA+8B2wAPgUmSSnbT+Q5AgxB0w4ZGRmcd+65WG05+Hx1/GP1t1z1q18y+63p9EtOIlJTTYJJpaq8jB69e+MPh0nJzsYLhBSBDIeZ/uZ0hgw7kx49ezBk6EAsZkH3Hlk8/9xjQCrJzhSqqqpJz0lHsSl4A16kkJg8JrL7ZBG2h6lX6wknhpn3zdds37ODUeeNZtH6lYRkCFNSMpu/28qdv/o1wmQlrElURwJJXVLpP/Q0lq9bS0FhEdU1dQTDEZLTMrn8mh9xyfgbOHPU+fTs2ZPN20pYt2kLr+8rpT4oee/rjews2U16WgoRqVDnCzDiut/w8qfr+XDmv0lKS2dPeRWK1cmsKcuPyrXOzMxECHHCtMzMzPaNthB1urbVDEFj0BqND/vxAiVetLREvHemOY2ipKVQsvhjtiWKGsWMaj1UzDTH7GoqXuLLPbfkxWlhnprWhM2pLGo6+p5ECHG7EGJFXLu92VBnSSkHA5cCk4QQo4/bSRh0CroMk2ouwC9r6e10MVTpQQFduNR6GXlqIoNFT8yoJJtNpFgFNjXqVXmx8EwK3WEKXCqJZhVdSsyx0soONZrMv71epT6sUBNW8UUUAhqE9GhJ5kK3IMehkGVXybSZyXVEA4ACWrRIQKHNhSqgRqliXWQfCgo6OgoKHpMJp0nFbVJItKiMVIfRyxSdriGExuqaANsaQtgUhZ5KBgLB3+u+pKcj6v1d7p9OUAQwSRNe4SeMzmj7T7nQ0fzP4RQXNbqGiITbbIcjaKSU86SUY2LLlVLK86WU3WOfVXHbPSGlLJRS9pRSzj4GZwYYIWftklUxk2LnRZjNALV0692b2ojGhP79+e3kKUyaMIGg2cKvfnU32prVbA2GWLdpE5MvvIBIQgIrt26lwGZjj9fLpppVmKxZ6FKlqqoKlzuHq8ZfTe1+SaA8wPb12+iWX0i/c/sRqg6yrWw7dd56Rl49kleffIWhZw4lLTuNlMQUNqzdQGpGCoQF555/Dh9//DGuLA/hiB2tRsPiNKFJDSVD5bRLT2PP1jIG9B9ASAbZv20/breHUChEgz/MV0vXc+2N1yER/PSsifzPC38BYMyonxO2JlNXV0UwUIsAzhp9Lg6Xm+lzV1JZUcH15/XFEoYnJrzHwzOu68wfVedgibW28B0PQw6fWOnFCcAooq5gP7AO+BiYLWUH6jcaHBnxE2E2CdUKgdndVGRowablmxu3a4vm6+PGk3HLovm4EBfW1oaYaUlUNe4XX5ygMUSt8RgWd9PjxefaxIuauMpop2L4mSIkqmj7wULotJm8CyCl3Bv7LBdCfES0XGprse4GJzm/zb6LF/bPwqtXcro4A6cJdCmQKOwK1zPI5aEiqJOq2kmwCAJaVMzc0G0/qtDZH7SSbouQZQeLqhPWBd6wiqpIGiIKTnP0eTeoC6yqZFCyl6CuUB6wUlxvwheJzjnjsQjMCnR3m3GYomWed3ohqEfnnSlVKlGkwjBTL1ZGtuM2CywKvOf9GlWYyZO90YXEq9SRoUeFTV+PhdoQbPcHCYoQfRnGZ4HVOK2FNAS3EhR+tjR8gkn10Nt6AVZpRZcWznfchoJARzLH9xJw6hYNEHoEobUy99gBjkm+/nHB8NC0wy+mraGqqpzi4qVoWgRPQgIXejx8OftTfnfPPWTndcWZkoyrtJRhgwZRuGUX08dfzb61awmXliLrvRS5XOTZbKQ7HeTkJjJoUG8EAYYM6cvX8+czZ8GXlNaW4vf42RvYy/tz3yepRzIoYHPYqKyr4Oxrz8Hn9KEn6mzatglnghPFrFJJJR+v+JhzLz2P/fX7KaOMP3/6DJUNlVizbFhTreQUZtPn7N7sqtpJSAmxs3QXtkQbjiwPSpqbkReO5sXn/kJOv76YnAncfc+vueuX9zB/436279iBYnWBasaWkseO3WXMeO8Dhp81msvGXc3rn2+gqtZLbm4ubz26jhfuOSahkScuJ6mHRgjxGvAqEAL+CEwE7gK+JDr51QLjbe4xpDUx07hOtTZNwg/XR9vhhJDFvC8yVIfUggdaPK31R/N3min1Jvk0bYSzNZ+UM17gBKoOFUMteaKazWFzqnlrhGi/tT+GcAoh3I3LwEVEX1jMIhrjDk1j3Q1Ock5L9GJW7IxUhxHUNSyKxKaCXVXo6/Cw1uulJOzFY1ZJtEh6eMIUucPsaXCxy+uJ5m7F/W5JKXCZNTxmjUSLhscsGZ5Ww7mZlegSVle72FDjYLfPhC6j4kgIqAtJ9vh0ttSHqQoKNBmdjybDpuIliI5OWISwKILJ+WksDuzmW28dilCR6JQqJYQJoaNjQqADa2uD7PIHMQuFoAiwV91DmAAuUxqZzrNQpRmLKQ0hTDQIL9vF+mi+jtQJSw1dSs61/+zAuU2d+vtTz1vToZCzzjbyyDEETbsESEhQKSzMxuerwx8O4wuFuPzyy3j22WfZtmwZllCYgUVFeOxuFi5cxN9feoedpWX8Z/0GhBZh/fr17N2wgZ4ZGdhD9XQvSqRnr1RMJi+jRyeT4EpAs3sJ6xFESoSUXil8tuIz/A4/ootAT9TJGZLD0u+W8N5H71LUvRBXogv3EDeZAzOobqghLTeV6kgVqf1SCVYE8OS7WbNxDUpYYeYns3jznTdZs/0/VHgryeyXSdAZQHfr5I/Kp9vZBWiWCP17nUaNvwZdteINRpj18Wykyc6/vviGbzaUU17tpUv3IRQMuYhXXp9OeVUtl44Zh8/Tg91797Hy2zXoms7913/S2T+040dHBM2J+Vf2ZynlRVLK56WUi6SUxVLKdVLKD6WUvySaNHxMKpEYxGg+b0w8LYWCtRRG1jxsLE7EQJw3pqV8nPgWR6MAauKhCddDoPLgsRTLwdaaLe2dpx4+NOSuybk1FUunkqgRRL00bbUOkE70xcQaokm4H0spP6WVWHeDk5+6sJnzzBegCgijo4ioyLCp4DbDII+LIW4PDRGdhoigIaKyoFyhMmhhu9dOTVglqAsK3fWcmbmHiwuL0aTg/G7fcV7uToYk12A1RfimNJmAJqgLC2rCgoZwNIcmrINfk1SFI9RFwqhCkGyNem10Cd5wNM/GJKPBQZsDtUzbppKoJ+DCSprIxypcmIWVsAjhlC68BPERpJ4AG5R1bBe7CYoAVmkHwCxsqMKMJsIMM19OnvUMdgWWYREO1urzWanPQ8TeKmpIRjfLrzmlRI2mQSTSdjuJFY0RctYuJswmqK+rJzlBkGFL4/mn/8zbv36EC/r158FXXmHsiLMgHKGstAZph/F3/Jy1u3fTMyubLdu3cVrvPjz7+utQXo5FUZj9/v9RryfR0LCE226/naRUyd49y7ngwmtYt64URbUiLILE5ETMmNlZsotEdyJ5BfmMu/ZKykpKcWTbqaquZMue7xh68VDKSsrIvzifJ59+EtKhsqaSAUMGoGdpuNJcnDPmnOg2RfnsqtzFul3r+fLdL7jz7rtITUjlRw/+iDeeeYMrLhnLt5vWMHr0aB753WPs3llCbn439pSWUuGTmOyS0wYNIatrATv3V1JevItRA7rx57e/5qm7r8fudLFm9qed/UM7fhzl+qrHCynluuZ9QoguUsry2PoQ0Rl9DY41zcPLoGXxEu/BgZa9Kge2DUf/LbUlmpqMHUY2FzaAMLujYsbsbpqb01KeTnz4WnxIWWtlp+PD0VoqRX1gEs/2Yjp/eAgFlHZehLTnpZFSbgMGtNBfCZx/5NYZnKh0sfnxaSoOVaWPy059mFgFMoiEIMkK9WEI6DqJFmiICDLtCutr4KaiUvK6lPLRhn58U55EpCwJASSYJbO29MJt0li438zAJI3SADhN0XLNWiznIqxHRU1Q14lIHauiUiIrqK/yHBAUVqGSZ/ZgEh7KQkEaCFEj6kiRidGCAiKAWybjpwGBQp1SjVXaUTHh1J3YhAuztJCsJVJkd/F29VdkOAajCJV+FGEyCZLpisvqISxD1FGKRGOl/AaTYiOiBxgoRnKR43Y+97UaqfmDRcRyaNrkyIsCfG+EEMOBHxENg8+kaRj8W1LK2rb2PzHfHZ8g3Fs9nTvueASX20xWeAepu0uY+/Sf2Z2eTvGaYua89Cnpy6sQ22uYO/Mr5s2bx08vv5XijxfgX7SKj6dN47LhI3j++ef5pq6OuRs2smDdekrruxAMJnHnnb9k3rwF1NasxOl08u5bCwmFfOTm5bJo1UJUm0J6bjqJGYmE9TALVy1k05ZNKFYF3SSpqa/l9OFDqZSVhAeGCZlD9DytJ440B3IQkCgxF1lwFDmo0PZTqpXyuzcfJzsvC8Wq8Ojjj5KQlMBLH01DcShMeXEqg84YyMhxIwk5gpQ1lJLQO4ENOzaT1zePkFDYU17N4lXrsDo9dC0o4su5XxMI6zz0yBRK9pRSXVPDtRNuJJOftXt9fxCcvCFnyc1aCrBMCJEUm3jP4BhxiKchLpFfNoaIBSqahHXJUN3BFhciJlTrwWbxHMyJgZaT81tK1G8NPYz07YsuH1LpzNJ+FbVGW+JLPje3rdnx2uNU8dKosRyattrJ/CbV4Ogzderv2eGNJsmP7qLh16KCI8ki2e0PstMfYE1NkIgOPdzRt3BOk2RgUoDuHo1ttYl8sqkvDRGFS3NKOSPFS/9EP+OLihmaup+9fjNV4TBLKqJzzXjMErMCqhDUhnXCMTET0KNz0Pj0CCkyEYFAQ8MuTOhSUhkOsi8URAd8whcrDiDxE0YjjEAhUU/BqTvRiBAS0dAzF1Yc0k26ngrAdr8fty2Pcyz9sUg7GTaV2kgImyqwSwtWaUURCgOUs9FkBJOwIoSKwqF/OaeMl6YjHppOEjRCiNnAz4DPiIa9ZwJ9gEeIPknNFEKMbWsMQ9C0wTPPPIX+719RsX8/FTYrn/5zJr/+9a959/KxVFRX0L2oOx57AnavA1uljZysbJYtWMq6detJTk7m5zffxvOTHmeJy8lWLFzy859TSR+EojPuymt4c/p06urqEIoFh9PDgP4DGZQ3mrKyMsaPu4qIorFz704sNgtpuWmMv+RK0vO6UB/2Uh+op2tRVzRFw53opmT/bkxJJgYMGYivykdaYhozls1g55ad2JJtCLeCN+QFMzz5yJNEyiP87i+/o6KigvHXX0XEHmHKHyazadcm/Lofi8dK0BRi1uf/QslSyCnIJrVrCs60ZLr16YbwmMEED0x+CJGRw4LiYpS8UXzx1TfoipnHJk/lhSn7ue2a+Z39Yzy2HIWQMyFErhBirhBioxBivRDi7lh/shDiCyHEd7HPpLh9HhRCFAshNgshLo7rHyKEWBtb97wQrb7HrQBWxrUVQDawKrZscCxpKRk/XjTEwrFkqK7lHBM9HBUvjeM0n/SyOfF5LK2ta94XX35ZtbYvYuK9ModMrBlXvS3+HJsvx/cdCGE7NPTsVBA23zeHxuDUREeyutqMJiUhXRLSBclmCxahoiFxmcEbAbdJRxUSv6ZiUyT7/BZSbQFSrBGKa5NItvnRpCCkmWKFBaCb00KmXY1VR5OkWiV2FRLMCgFdx6dHYjZApsWKRrSujI3ofaSLxcJ2dSfFyhbcqhm7tDPM2YUAIXQkKXo6VmlDEC3ZbJNOrNKGT9TjVs14RS0aOjoSE4I0pYDvAvX0Fnk4TCAQVIYi6Ehc2OkpzgRgkHI2Qd2LVXGxSi5gmVzAFa47mly3UyKnpiM5NJ3HTVLKn0opZ0kp90opI1JKr5RylZTyz1LKc4BFbQ1gCJpWuL9hBeOu/Bk7evUkFKpiR3ExE8Zfyf8++ywvPfES/jo/2Uk5/OKOX1BXXsvX8+ezbdN2Rl91NpefdRnrNq7nvVf+gTcdenkbuPmWG+g7Zw4QwOkcwAfvz+O2255FEFXEdbV1bNn5Nat3LcbhstN3QB8cCXaSuyRhTbBSE6ihzlZPVX01/pAfT4qbOm8tukknt1suQ88YgmJWeO/Dd7l00mVs27OVG2++kSpfFRbdAlbIyc7hkosuZezt4/hq+xymPDCV9IIulJSUIG0w5aGpvLfwPTRrBHJAzVcZfPZgvtu1hQ9nf8SOPTspLy/H5FKJiDBBW5C/vP0XQqEQ3YoK+Pey+fQdcxebI8nM/3oee/buIykzn3vu2NbZP85jx9HJoYkAv5FS9gaGES2v2oeDM3p3B+bEvhNbNwHoS/RNxl+EEI3z8P0VuJ3o5FXdY+tb4n5gMzBWSlkgpSwAdseWux3OJTDoOFKuaFrhrPmDPxx4qG9ejUzEezwUc3S9FkQ2CoXYetF8zBbyZFo6Xqs2t1ZZrTHkLF7oNIqy5nk98cKrMXcmXty0Vvr5wFiHlnb+IYsaRZHtNkPTGDQydervyXKOYl65gkq01HJYh4Am2VAXIqTrmITApZioDEZFiE9TkEQrlrnNEQK6YGWlm4aISqIlRLnfQa6rnm1VqSQ7GxhXsBO7Cm6zxGmKCiW/FhU6vohElxIFiCDR0NkTCiAQmBAoIlplbHVkD6dRRAKplGlegiLIkoZyQiJMUIQwSZWA8OGWDryKlxQ9hXQ9lUKtgNVsoYdeyHqWY8XMDnU3PcihVqnBqgjK/ZL/iJV8p+zEihkFGORKAMCMwpliJEMZhMeUiVVx8R+KuTllEremTjrkWv5g0TVEJNJ26yQPjZSyIv67EMITH0XS0jbNMQRNK/y3cyg9d7xBz96j8His5GXn0Cu/gAljLueX9/+CQb0GoYU1ykpKCVYGuWTYxRQvKsYVcPHp/M9gL7gyXJx3+unkA5bXXmd1cTEpbOPaa5MxW3ZRVrqQ0tIdTJw4kWBIo2vXbrjdbkKhEOs2rqOqthqv30tA8xMIB7C5rOhCR7WphPUI0go2jx3VoYAHnnzxSX51390MGT6Y/L75bCjeyMyP/0lObg5mzCSlJ9G/fz+SeyZzxsgzqYvU8sQLT9CrT0/2l+xn5sqZ3PXru7Dm25jy2GQ8hW4K+xZy+U/G0GNUD1L7pVDuKGe3dw8hJYw0w40338h3VcU4M10UFRXx2oLXaPA3sGDxUtyeRHZt38qXX87h7kl7ufPOH2COeeOU3m21dpBS7pNSroot1wMbiXpLxhGdyZvY55Wx5XHADCllUEq5nWiuyxmxEqweKeViKaUE3ozbp/kxnybq3n1MCPE/sWpIRgzLMaatEsRSCx7qtdDDyLD3QGtpXeO+zcPRWqS9OWjibY0LZ2uVeFHTuBwv1pqLmRaT/1vw3sSdY5Mxm/FD9dYoAlSl7WYoGoNGJk9+hBsT+7NQW0CaNeqdUUU0ET/XHv27jMhoGFhpMIhfg2WVOp+V+5lTplMWsLC2RqMhAiFNsNdvQ5OCtVVJbPM6mFvSlXeL84nIaBU0TUJQi2bGaBK6OhWK3GZ6uGz0cNrpZnfgUcxYhYpFROe0CcdmAdinedHRKVGKsUorVmnFLq04pQ0XVlL0ZGpEHT5Rz3ZlE7vU3dThp4deSLVsoCFcxjZ1K931PIQQ9FZyKI5UsS8UxCpcVGsldHPY2KJs4WvfLhQUlDiX5gB6caYYjEdP4sOGL9Fb+K/3g/XWnMAhZ40IIX4uhCgD/kPTCJJ2MQRNG5gCAcpemELQV85QTSPR5aImIwMtoqOqKkIIEhISyMrIZsmypQzqO5Cl85dgdVggGTSzxuLiYiqAUqJPnTnAoldfwxMqxmpbw403Xswzz/yGyoqt2O1usrK6YrPZCAYbUBQFV5KLkB4mMTWBXXtLyCnIJiM7A2yQkpGCrmgsX7scU4KZKfdOJdmUjD8SwGK38s3i+Uy5fyrWVAuJaQnoKTohd5jlO5Zz6S2XsMi7mGsmXcu8pV9z2qj+pOWksctbwqaSTfzmD7/BYrLy1F+eJKsgi5TcZGqqahk0YiDmBDNhR4jP5n6GM9FBZtdM6gP19D2nL/1698fZy8ngn9xMRWUF3bsXcdmlF+Nt8LJq1bc8+ocOJimfLHTQQ9OBCfAAEELkA4OApbQ+o3c2UBK32+5YX3ZsuXl/i0gpd0sprwXmAl8Ajo6fuMH3ovlcL22JkHjaqhgW39oSLFq4aYs/flxVNBkvTJoXAIj/3hhipsc8T43lpeHgZ2tz2sQLnvjjt3TOLYSfNfJDEzUC2YFmYHCQhojg9uTRNER0NBl9Lu2VEPXWaFJiVRQcSjR3RhXQy2Oip8OFguDbKkm17mdzg5/lVTqL9qvML3Owx2+Khp3pgkSzTt+EAFn2MFYlKrpNQpLj0JFAtj1CtkMjx6GT65CoQpBhjd4n0q0WwkS4wJXDXmUn9VRRpPcmU3UhEFgxY8WElyB1wosudBpkNToaXbUcgiKIT4aoU2rJtg3GhBWHqrKGTQCERYj9ShVdZA7pSiFLA3sZrvYnQoRQrHSzJJrvA6AIQa5IxqK6WO4v5a70SS1d0h+eqNFl+63zuQ/oK6XMb4we6WjUiCFo2uCqq64m5a77WPDPmaxbshhbJMLIkgpUoWAymTGZVPzBAKX7Sjln2NmkedLIcGdiC9rpkpBGgjMBn9+HKTWVjH59qQRqiD5lVuJAa/Ax/99vEwxu5rLLxzJ4UH++mvMqJbvWkpqSgNVuQTWZCGthhEmwp2w3EaFR6a0gFAkSkkFUi4lrrr8Gu9dOSAkSOi3AS29PI2QKUrW3CmywL7yPvbX7mL1yJqGUIOu3rGPJlqV0HZBL6hkprNi0nHfff5cRI0dQqpby0eoPIVHgc/q45b5b2M9+qsLVRNIjbCvfTpeuaQQIcPmPLqMuXI+0SpwpTvbs203hoEJcSU6UHIW3vl3EWnMFX/vW4Xa7GTVqJFpY46bfftfJP9mjSAeLAkgpp0kph8a1Q0qsCCFcwAfAPVLKujaO2tKzjGyjv02klP8CzgUuaG9bg6NESx4JaNdr0iG0YFOxAhDyRlt8n2o+uE4LRz8baaxAFhMbMhDn6Y+vdAbIhj3RFj/fTWPuj9l9cB8t2DQHp1nVtib2N6e5qPmBh6A1VjlrqxkYxKMK2Fwn2RdpAMCn6VQGBQ6TIM1qItny/+y9d5hkZZn+/3lPqlydc5ienDMwQ54BSZLFLIYVE0FRd7+Krl8J5q/rqsCyqEsSFzEgikga8gwMAxNhcuzp6ZxDpRPf3x+nqru6Jy6yDvDr+7re65w68a06Vafe+9zPcz8qQVWhQDOwPd94wpUQVlUqQyrTQjH6xACtsp9uJ0NrxqQnI2lOKXRlVCZG05QH/eafTzKrMEWB7lITcvAQKAJaUgpCSKbGFKrDkvlFmm8fjYIrYbacyTxmERY6va5JiRImpuqY+Pk3cRklLVJM9mZTJSfRJwappoSYCDBR1jDRrcPFRhOCSrcW2/Mo8YqIelEUKSjyiijzimm2EwQIYgsHE5uE9O8rmvCVpZCqslxbQodo5OlEE1eVXsunSq7ls2Xv4hA013vbKzTAHt5kOfLx2+Jh8OG/bePfGyfxxwfvoqGwkFhZGboQFM+fxo6enQgpUBSFgB4gGArScaCDnqYefvfc7zj/jPPo3ddHaUMtZ55yCkFN4+ILLsABCmtrCRQXM2fuySjhSg4MFAINPP74b+jpbaKsrI5p02fhyQAF8TiOa2EYBp2dXdQ21OFKh0A4yJCZQA1ppJ0U37/r+zS27WNn0y50w2LRWdW8+NpKqG6jU11H+cQmtOpt9Pbupb2rkRtvuZH6SZUEwyrFpQYX/PPJZPQMT21/ipr6GghDrDpG91AX9/zuHlKkMMMmslASq4ix58Bemnta0KIaepnOvY/ci6d6vLT2JcpKS+lL9zFl2hQu+dIl7LH2MG/2PMSSEC+vfoWdu3dRUlTCVd/fz8U3vAsGIG9RHRohhI5PZv5bSvmn7OKObBgZYyp6NwN1ebvX4teMac7Oj11+qPMZQohPCCFyJOZy4AtCiGuzfRnH/wL8HJpDDNizLmXACLnIV1kUffT80ZAjK659eIJ0qIrRuWV24uDzjCnyKTM9Iy5oWQy/h9x2+dND4UgGA4erZzMqP+fdaRjgh5zJI7ZxY4Bx5HDzzd/1i2gqAlPYhFQ/b6Xf8vNlhICasGR+kaQiqFAf8SgLuFw/fycXVJvUR/z5+YEKCqXvlBZWNezs4Fbi17hpSvrr5hYNogpIOhqO9E0AMq4g4/qkJuMKPMTwA//aMJxaHEIRENc0wqqCoSg4uLTIXpKuTbkWRkXBwaPerfVVGxnIFslswZIuHpIEpl98005TrkTw8HNkDDSihNBQ8ZCE0Cn2CglIHQ+Jikqnm6LbyQC+3bTtSU5VTqJHNvOX9Cs8lXkd4JB5Ne8KYuN5ftjZkdrxJzTfAF4WQvwia2x0qxDi1mPZcZzQHAZ1U+vo3jqTg1li0AAAIABJREFUC6ZO5aRzz+HMJUuwbRsnY9La2kp/Zz+qq/L8iucAKCopoqauhgZlAnGlAGfQYdXdT7P+4ef44sc/TsdLLxEEyoRg2cIFtLZs5ZFHnqW4OMzESbMoL6ujsXEz1TXltLXto7FxO1LaZDIJyspLKKkoomHSBGIlMSqqypkwZQJ/fOIPGHEDFMlvfvcb+gb7yKTbWbRwEu85v4DPfe5sXHcH+/dvRdeTQIJgQGXNa79j2/ZXQAygqkNMmhSnM7KfQGmAWQtncvml76N7oBtX9yADqe4U0ydNRwkrBMoNak+soXphNZu2vY4RN/j0Fz5NOpRi+XnLWffGeoqjJfzhz78nVhDl4ksv4le//CWqqjL/6nmsXfsaQ0MJyksrmHPa7ON6jd8SvDUuZwK4C9gmpfz3vFWHq+j9CPBhIURACDERP/n/1WxY2pAQYmn2mJ/g8FXA7wEuBK4XQtwPfAA/zO1E4L+O6b2P483ByKoWh8pN0aOjyUgOdmI02cipKbnp2BAzKzmy73BYmXVwGws1z9VsDKSd8EnM2Hwe8kwLxoSsyWRL9vUY4jK2MOfh3NMOZxwwapvD2Ea/gyGOoY1jHPn4SesdPG4+wyStEFUIDEVgeZI+S1IWlDgSekyV4oAkorkUGjZNfSVEdZuGSIrWgSI+OqmLh658gVOKQ9SEVEoDCoW6JKpJBmyVGYW92FLB8hQmREykFIRVj6DqEdE8wqpHedDPlXGlT8w9Cc0p+HP/AQp1SVlQIBAUGyo2DmEZIonFAWcADZW4CGLjoCKwhI2CQpO5jmalHVO6GGgUexV4eNhSkvEcdKEQUwxUBAZq1hLAJzpxEaRMCSORKAgcXDqc1HDR0fOqLBw5cp+xPb/PY5WadwXkOyLk7BfAs8ArjHZiPSrGCc1hEAgHqFrQzwnnX8Bffv1r+traCOk6QsC8wnkEw0GG+oa48NyLiEWiLJi3gDfWvEHbgXbu/K87mVA3gSvPvZLpC6dh79nLyy+v5upPfJyPLVvGJMNgoLeN6uowuhFHSklpWRmWZZFKpSgsLKS8vBjIEAyC7SQIhXTCBWG27thGqCDEkLMD27YpaWjjIx+ZxIzZMznxlBPRtAypVIp0uh9FCWNaFrU1FYTCCpddfhJbtz1MOGxTWOhQV1eEEEnWrFkDOJy5/BSkApZMMuAM8NiKv3H9T6+nuLqYrr4unnjmcfa1NBIujBApiTB9+XRc4RCMBhiyh8jETabPm0bT4H4u+tBFJDNJhoaGuO7n17GvZR8Fiwq58hdXUjulBiUqCASC/J8ViaNdirc3coU1j9SOjlOBjwNnCSE2Ztt7OUxFbynlFuD3wFbgCeBaKWXOb/FqfEKyG1+6ffww55wrpfwQvjJzLvB+KeX9wD/h5/CM438LOZezMQN0aWWjDF17hHBYyZHmWln1JglG1Cczo5SYsXkx1uhzHrYvYwiOayL06MFmAPkFMQ+DsYYEoxSbfBxNtRnVxxGSdJD7WW76Lgs/OxaXs3GMIx8XR7/AbLGUV71tKAIMRRDRBFFNYHuCAt0l4fhj1oqgSVHAJGpYxHSLHjPA5r4iaop6WbF6KWdVdfCNM1/h/JoeTinvY0Y8xeRYEkNzKTRMkraOIwW64mF5CrbnU2wPgaFI4rpHkeERUiVhVZJxJTOVWnYNwY4hk7qI8BUexX/wEiWAI1xiioGCIICGIgQxGabEKyEeqCEjktjZnJiJajEBNOKahioUAopCUFFoUTrQhIImFAyhogt1OG+mUA1g42IKGxuXJnuIuK7wak+QS0LLCYoYqtB52tyCImBFejdXvdsc0FwPnKO0439rcaSUX5VS3iOlvC/XjmXHcUJzGPQn+1m3bh22lCxdsID25maklLTs2YOiC4pCRUTDMVRFQaBw++2305XoRlVVJk5voLCygLWb17Lj8Z20trUyUWi0bNnC1g3r6W1ro7ZhGtu29WHoMVJJk77eXjQNMpkMZaWFFMQNCgqi9Pb1EYuFUBQLTU0TiwdImNsJhQxqJxQClWzbvoHLrjkPCg7w3w/8jnR6Hw8//Ah33/OfZNJtmNYgUqaJhD2WnDSbeExHVSWm2YNp9gAZTjt9OX/96z24sp9Z9fNpmFjA2RcuIRwaZNKiiUybOZXL3/8+5p8wj5buZkpmF7OtextN1gEOtDVTUFBA3YQ6Onu7SJop4oVx9u7bR3FxMe2tHRh1BlJIhsqGuHXtbQyYg5hehmA4wPWre4735X7zeAsUGinlKimlkFLOk1IuyLbHpJQ9UsqzpZRTs9PevH2+J6WcLKWcLqV8PG/5WinlnOy667JuZ4eCIoQwgBi+GUBBdnkAGA85+9+GGvCVljwINQCZvmPbP0dm8kPKXMtfpuZdvsMpMQf1xwAjkt3HHnFLy+a+iJzdcpbMCD06sm+eE9tBRTTzzQPyVZmcicBY5FSmwxXrPNT2w/u9e0iNIo4cbqYqvjHAOMaRg64I0sLiJGXmsBGA6frj064MBFVJRPOVE0cKVOHhSYGhOswq7iGoerzQOInagn401WPLvkmkHJ2QZlMXH2BDbwzT0XzSoroEFI+Uo2J6goyr4Eo/xMyVAlcKpATLE+xJ+ISiJKDgSkmn6KMtJQlrcFKglhA6cU1HkyovOk+SkNmim9Iijck+ZTuWm2DAaaFH6cEWDgIIKxqOlBTrOjtlG1u9Zr9+TTZHRlf8eVUIJsc0GiIqNVqMgNQJE0BkdU5Xgq5AUEYo8soIyxgbk3242DyV2cbHit5FpMYF6cgjt+N/W3kua6JUNda2+WgYJzSHwe0/uo3TT0theB4LQiFOPvEk/vkHP8BQFNa+sJb+7n5WPPkU0pPoqs6gOURZfSml9aXs29/Ipm2vM+gNggEvP7Ea23PoWLeeTZu3sG7jJpzGnZSXGQwMpogXlFBdU091dT1VVWUEAirFxREGh1oJBR0GBzvRDQ9VlRiGx/2/fozbb/8xV1yxmJ07X+TC917BD//Pz9i4cSOf+PgiiovDvO/yRcyaFWfGzDqKCl2ESCJlGtvuw3G6CQRsWpp3kM70Y1mdLF8+k4aGKD/+fx9j5YbHSKUE1VUKq19Zwbrdf+GlppcJTrSIzAxTOa+KZDrJpOmTmL18Nu2yHa/co6l5P1qJSt2cOrbu3obrunhSMnXqVDJehvWr1iOE4JJrLmY961FUlbSbIVYQ46bO4/8relN4i3JojgPuArYDG4F/Bf4ghPgV8Brw4PHs2LseY2vQZAf9R7RbVnOWyJY/n1Nv8qfgz+dIUX4I19iQLtUYOeZwv7Lqh6qPFO7MJf5nekbslXPk5QgGBsMhaDmHtByJyT+mNejn4liDBxcQzTcQyL0+mlnCu4jUiGw4zJHaeNzZOPLxkYYBZhhF1IQVDEUwaLtIJCnHH7CnXD8pP6hKLFdFVzwUIdFUj3gwxeLydkKaw+7eUrpTETKORlizSdgBulMR3lPdQU8mhK64BFWXpKMR0VyCqoeuyOEQM0X4g+JcXs3EqMST0JFxSTguJbIQQxVUhVxaMxaGUOl0UpSKKCcpZ1OqhoipOjoaIQIUUYWhRgmpRYRllNmBYvodi9fFDrqdDNvtLgB6ZDMBGaRdDpKSDrbnEVFVGiJqtiYPVAQVqrQIpbpBiRLmQNpiyPbQBHh4pESCoAyTVtJUuNUArLJ3cEX8mlGf9TuW1Hj4Ve+O1I7/UOyjZPNoGLdt/vvxjcydfOG7y5iqDmFLSfHChfS8vJYfX3UVU2QDl112GW0bWymJltC0/wDCFnieh+laNLU3+WFGQQiWBghWBKisqSCjQKCigokzZ1BcXY1aUoJQBKWlhcRiRXR19ZFMJjEMA1VzePW1F2lp2c+27a9w7z23YVuD/Pa395JIDjB7ThRw6O5qx9BfJZEspGJWAWWlSbZu20Y4bKGqDqecPJPGfRvo7d1POtVKSYkK9BOLe5SXKUydWkY0kubMMxZz993Xsnv3dqCQoaFtDA09iOvuYM6cGIbRRiD6Oprew67dG5GhFKFywYpX/sRL617ilMtP5vY7b+e+B+6jvbeDXruHre1baA+349V5vL7ldaZMnsySM5dQWFhEdX01c88rRVuq8dzq5/CEx45d27nJOv6/pP8xjtHl7O0GKeVPgdOAk6WUtwJXAE8CV0kpbz6unXuXYrioZo7I5BQQzxoJNzOyOTSqMZqEuHmDezvhz+cTkrGEJTfNFb3Mh2cNE5NRx89XdnIKy3DhzjHhbFb+sjGWz7l99djo0DLXhEy3f0xrcKSOTl4h0VF1dA7nApfr+6HwLiE1AhBCHrGNYxzgD64/UHANCybuQVcEvaaf8F5kaIRUhUID0o5PKuK6pFB3MVSXyng/sWCaonCCgtgQhdEhltQ1UhUZImaYKEISC/i/QdNVGbSChFWHIStAWypEkWGhKx5JR8X2BK4n6MqoWK6CLQVS+uFnOwd9lURKSTsD1AYDtGYsVnZ6BIRfIyYmAihCMDUapCSgUmqoqAhMbGJejArZwCxvLgkxSLtp0aH0UuSVMSgSCBRiXowaphGTYaIyRIFqoAiBKyVNSZcDKZdu08/taYgqBFVBInvfGXIduk2PBWoDJwcakHgoUsEUJio6SdnHnxP/zfmRzx/0ub/jII+hHWfkWTXnt3Hb5jeLH3z/m9x558+4/+57+D/f+x4NQGhKPV46TcAOoqV0ZiyfydN/fIbq4mp+fY8f3hcpCIMGSqHCZVdcyt7mfWQCJgknQXlRMQMdHWzbtp3W1lZ6enpIp1JMmzaNs88+k/POm0Iw2EE4rJBKbWPO7BmY5gDz5s5j2vTJ3H33jXR3t1FfX84Lzz/JTTf/Ew888DV+85tHaWrawGc/czoVFREmT65hYKADVZMMDfURjcbo6m4nGHRZuepRCouSNDa+QiSa4Ee3XIRp7qS5ZRMXXngeodBWoIQzz5jOwGAn7R376exsZd++Xax4agX3//o2Fi4swjIHSCV7OeXkE6moqkAJKFQsCnDJ1ZdyxofPgGIoKi6mtbWV9evXs/CyhYSqQriaCxEQAZOqqjLSrGfZ1YvRYzrT586gd6D3SJfl7Yl3qEIjhAgDXVLKnAtaBb5zWu3h9xrHWwZFz5ISn9wM56sMEwlrdLhWPlHJKR65Qf2RwrOsBDjZ9U7edvkFMXPHsJIjhCVr2SzzDQhyGOuOliU1IlKNCJYg1EC2SGhO3ekerczkQtjycZj6Oj7xOYxhQB4ZGt2fw9ereadAOUpRTVV5Wz4nGcdxgqEIPE/l3KohgipYniSowhtmNyuHuqkICTb3K6QcQaFhE1RdIqE0muKi6zaBoEkknMLQbSIBk4hhEtJsDNVBQfoWz57A9FSkhLhhk3Q0Bm0dBYnjCWwpKAm4mB7sGfLFAF2RVIUEBYagPqJRKKOstQ7gSo9JUZ2QqqILQUzTKAtopLKuwRlXEtd0JhtxqtQodaKURrWZKq+SsKJSLUsJyiAqGiHp599EZJA0JiGhYXsepucy5DooQqALP2cnqvkjdtOFyaEQE8IGkyMj91nbk8w2yiiSBfSIdnqcvfRn9iKlw4r0g5wRuuo4XeG3BtIF6YgjtuNFaoQQpx1lfVwIMedI27wNh1rHH//yL49y0803cMVVV3H7DTewfvVq7EyaTCLFhjfWMzA0wGDnAJ/4/MdRPYXqqmrCTpiIFQEFvEGPv/3hb9Rr9TgqNGaSrO/tpRT4yDnvoS4colpVKDISNDev4uWXH6CpaS/RqMb6db/ntw/czZ13/gxVbaS7Zx0TJsDVVy9i+VkT2LlzK5FoBTfd+C2mTK0Dojz22K04TgbLTtPevp177r2d3bteoKGhjO6OLVSUB9m6cRWXLJlBV1czna+vonnPiyw+YTEtLe0URNqJBvdz2qlLOfGkA9xxxzUUFkRIJjtIp7uIRlUgwTnnLmfVque5//5f0dffRmlpjIy1gUTqFWbMaODJ1/6LtJli884tLLxwIRdfejELFixgV+NOXm98g10du0g7KXr7Ounv7wYy/OTf/o3B6F42btpIJKpz4asPHd+L/z/FsZgCvD1HHk8ADQBCiCnAamAScK0Q4ofHsV/vXuQl3Q8PxLMKxrBSkenziUVuAO9YowmJY0G6ZzTBcY7Qchg7n090xtSV8ZeNtWwek4uTP29EfXe2vLAwYcSHlZhh97M8xUUexX4630ltWL0a20cY/VmORV4f32kqjSLkUds4xgEjblwZ02B1d4yk4xe1DKhQKKNUUkDSgZKAIKj635ua2AD9iRhCSKQUJBIRguEMdfN3MLlhP9FABk31UBWP4lCK0lCSeMDElYJB28DxfBUm4wqSjoqqSDKuoMf0CY8qoCnpExq/ACe0pz1SmFR6fn3oiCaJ6YJCQ6U44P9JaiJL1gWkXJeoLuh0Uwx4GUrdMkq1ILtlB4MyQ0Zk2Gw+BUBUhtDRCBMkLR10RSGsaij4REbJ/gdv6LdY059AE2B6fnFaTYHKkIKZdfjKuJKZ0RATvElYbhLH7fcLQwEVRoBzwyM1sd9pKo10FaRz5HYccYUQ4mUhxLeFEBcKIU4SQpwhhPh01on1USB0pAMcmwfT/8/Q09NBIrGB+++8jQ/Mm8v3Lr+cz958C3/6xjfJqBmC/UGMgE5LooWN6zdy6qmnoQ6qTKiZwAknnMiOV7cTnRel8oQq4ne/ivG52dRGo3Rt38Z2TSPpuISiMU468wxqCgoxOzvYpjST2reK95xzHv39RXR3R6mrqyIWLUQCe/c+y9rX/srQ0K/55CevorlFx3EyXHfdqUSip2JZvSQTCTQ1wrnnnks6k8BK97Nkzhwy6TQ1p5zKY7//PR/5wAd4va+PeXV1VFVW0XagifKCSnZu3creztdYvnw5/f3dvLF5FT3dJtU1AlVV+OAH34cnVYaGbK688gMIIUind1FXV0YwUMmsmUleeD5Bc/8bLFi8ANM2KZgWZ//gLuprG0iYSSomltPf14WUkng8jJnp46abT2bFihdJJluo6v0sJ564HGPjwzy84PLj/TU4NuQUmiPh7UloiqSUuQqnnwR+K6X8YtYoYB1ww/Hr2rsYuQH4cHhWNiQsV8jyUNsDaAZkEqDrvtqR6IVosU9KXPNgm2XXBNv2t89ND4V8gpBL9Hft0bYQqp5Hxg5BarKuaMN5NXp0+CsvjPjIe8wPtYPDE5Hc8txnkqvBk9vfG0PEcmRJDYwKlUMNjOQc4ZMaIU449DnfhjhanZnxOjTjAJ88rLJ3ENkwm86MR01YIeP65OCEwgAb+i10BQwFIlo27KqmBVV12Xegjmn1uxnqK6C9rYJ0MkQokiYeS2A6OpFgBiEkmVQYy1WxPYWI5tCUDFERMunMhCkxHA6kdJ+84BOEoOoTiQNJFVVAc8ohpqlMCcSJ64ItiRTtaUFJTpgWENMkA7ZAV8DMJvP3WxIXDwUVFYV9bi8hGaJZ2cuA00JNaCEddOBiM8ObgildUpgUYZDyXFzpEdN0TE/SapoowIRAhHbTxMQhagVoiOjoCkyKqgD0mJB0JFV6mM8VXM4rA4O8ln4AcPlb5jHOMS7g4ugX+GviTsAnNTfe+K1//IV/M5ACvKPcOI7TsxIp5VeEEEXA+/HLSFQBaWAb8Asp5aqjHWOc0BwCrSsryNRuZ8nZZ9Hxxmba2zv4aNVUlFZB4+v7mFE/kw1rNjCpfjJ2ymLtva+x8oVVrHxwFWdeeAYr162CNpi/cx6b92+BT23hhNs+yyPfXw0xuGhmgIlnnsi0cJg/PvsMTjTKSbW1tEciTFD6cIoDPNu2EWENcOutf+Wyc5cwd/p0ysouo6pS4d5772F+QymrVr/CC89fDXyAr3/9p9TWFiGUMC+8+BTvfe8p9PR0U6AqhISCoakMDA7w6m9/y6c+/GG8oQSNm99gSEqmTpxEAIi5g/ztLw8wZ8Gp7Nq1j9KySubNm0ZnxwAZs5+qyimUlii4XhJDN0gmExQXK3heE6aZ5IL3nkvGNHG9XaQHo9REqykvr2bDlhWcsHgOt9xyOf/6r48Riyls3bqaOXNKMU2L005L8qMffptlZzYApzFndgNz7N/yHf0jx/eLcCw4FkLz9tRB829bZwE/BpBSWkII7/h06V0O1Rixa85XK7L5JKNCu/Qo9DWBZYIRALt3hJRkstv1tvnr+rIugZGo/9rKyz3JzeemRpYs5IiRY/lkSTFGDf6FER9J1M+vaZMzJMiHlRz9H5gNVxtGXh7NqPo1Y80RxmIs4RlL3A5FbGA0qcnvN+8cUqOoAkUbZyzjODru7PwPJkUu4NlUIycZEyjQJZbne+Bt6LeYFAlgexDTJTHd5cS6RsqmNWL2FjCnaAt6NE1PRxlT5m0jUN6H0F2irSVMqNgIwKYnTmfxvM30tJfhegquqzHV0nGlwrRihYxtoPaWDFs370vohDXfAdh0IelJygIaE6K+CcHKLpew0Icd1xThT1UFIpqfvK8rEFFV1nl7mCzqUREMSZNCGSWqaLSjsER5D4onKNA04rpCv+UhXJgRKcCV0JTyUIWKR7ZQLQKJT2wAVFQMRWF3wmRKNICXVXJCqsDy8MPWXJgajCH5CGvTvyFjdfFX+zdIafKhgmv43cAdwDuI1HgC6R5tQHL87jtSyj7gV9n2P8bbc6h1nBGcs48zTj+FxYtPIRiNstG2ebltFykrjRWw0FWNuqo6+vr66O7qoXb+SVz35RtwLdiyYyvXf/166IZkURJ6AAP2r9xP7fRaJkycgNfpMVNEWfnyy5x71tmUFReTGhrCSqWICcGezZu57IQTaVA1/vub1/GRk08m0t/PGfVBBjo7ef/7P0VxQQHzp08nGFzHOed+lEDQoa2tieeff5RJkybxq1/ezeSaajIZE+G69Le08K9f+xo1p5xMU1srRUVFTJ/QQCQQQBeCGVOmMLG+nrPOvZwNGzYwefJkDEMhlRqkuWUPoaBGZ9cBhGJx1123EI+n0A2LVGqQRKKb8vI4FeU25WUWTU17iZckGRp8HE17hoULDRzX4X3v+yKqKhkY7GHSxHIOHNiNmelHyiE+85nP8LOffZeXXvobPT07SKWP0b72eOMdagoAvC6E+DchxFeAKcBTAEKIwuPbrXcxxhKBrHIh1MCIDXJuGzsBne2QTIxuasAnI1ZWgckRHhjZ5kiwTL8lEz4xcs2R0LMcQTCieUqSPXpdzkggH8MObD6Rybd0ltagHz42bC6QVwA031Qgd75DqTbZIp3+OcyDXdHy+3OkELR3EhQQqjhie5veV8bxD8aXKq9FQ6PMKyWkCrpMQVD1lZup0QABFcIaGFkFJR4fwrMM4svaic3dj1EyQGFxP7tfn8nA7jq8VAA1ZGF2FeKZOtMXbkbVHFxPwfMUXFfB8VQsR6M/HSZt60wr6GdOUS/VoQyzC0xqww7VYXfYrc8DBm2FLf0KGelQrGtYWeexXtP/KgcUP0RNU/wcoLAmmCUbiKoamhCoqLh4pD2XpeocJoQDVAR0igyFkoCkPqIwPa4zIeIwNebQENGpDunsS6dpy1hYuMNWzTYOAaHS75o+yUm7eBKCiqQm7KEAEU1BAlFNcEKsgNnhK1AUg4BWhEAn4b4Dn/u5Cjjqkds7OJp1nNAcAp63EtNKoms6tVMmsyQa4ROnX0DT1v0sbFiEnXHweiSViQq0fSovrl/Psxs3kpo3j5LqBTSt28+U+GRkH1ScVMHpy06jpqaWUCTI/pb9fOajV/Hwr/7MB08+m8YVT1PW00PM8zh55ix2bNpEVSxGaSiI1dfLvl07aWpqYnt3N3+45x5mRyOEuzcze8IE2rq6qC7Yz7xJGfr71zHYvQateROTvDZOmlCKa1oUKYKJQjDJ89i9aRP9AwNUFJewe8d21q59jSWz52ClU3R1dVFfV8/jf7gX1xGkUhbl5eXs3r0ZTYP2jv3EohrFxQaf++wH2L1nCwKHjs4mwmGFjo79IEwcp5FpUwfxvCaKilM47n50rZsXXvh31q27G+mt5vXXX2VgsJeK8mIe/vOjdHcN0dK0n2s+tJCTCl4gGMygaQl+kPqfRz1d+dtdR9/orcQ7N4fms0A3fh7NuVLKVHb5LODfjlen3tUY69rl+eFiw4N98FWadI8fUmZZyL5e5L4DyOYW6OyAnnafyOSUmGRiWH2Rfb3IjjZ/u1zLJzn2mIF+jhS55sg5XT/8bYRA5JEF1Th0vo0R9YmWEfX3zfSMrkuTnyuT75SWq5mTJUIHuaWN+qzsYWKUIz4ynxyNJTVjP3crTyV6E/k0/+gcHKEcvY1jHADPDLYTkEEcPAp0v9ZMSJV0ZaAxaWO6ENc9yoM2VeEUnquQ6Cxi8MVyRETgfPkmKt6zlarqdjxXQT85SuCsEFo4g5MIo4UzhMr6mPmhl5h10UqmzN9KfU0LdRXtWK5K2LBI2zop20BTPGqjCYKqR0j1mBF3OKsyxeJii5KAyz5rkLpAiA7LpD3j0BB1mRZ3CWuSlOuHmyVtsD1oz9ikPIe066IrCtMiISr1EFVBgyJDwfL8XKH2jMvkqMmkqEVQlbRnNBqTGg0Rh8qQpDYQRBMKtcZI+oWHxJUeFXoQQ6gkXZumlMOOIY9BW6EiJKkMCWwPCg1JTJecHq1EEQFcz0JRgjxvryAWnDp8zDeTT/OPzsGRWfe5I7W364DlWDAecjYGl6z7IzXV29izZw+2PcTcWbNxLIv0xFISzzVSrlRgN9r07OimoCpOJqNhVlSgl5RQEgzyUksLP7/7aYpLS5nVO5PkypV0TOpg0a8XU/PnGoa6Etz54C8AEEnB0ilL6bQ6KA2qVEUiiHQap6QEr7cXu6+P+mnTsR2bi+fORZ2/gNc2v8EZ9RMIZtL8vreXT918E/9y403UNkzjwx++HG/PHkrr6ji9qop7fvxjrrn+S6QTQ5g7dtBXVYWZSFBaVcmadWs589TTqCgp5lff+S7INIq3AAAgAElEQVQN55/Hyldf48NXfpy7b72V4lNOR1NVYrEYhhGno6ODnt5OIpEAUjpMmVzB5i07KCsrI5nqJRaPkUomCUc07rjjfq677gtYpklhaSGpZAfvOXsG27arPPPsD1iyeDGxoinYdjOf/OR5vLb6Cc469VS8/U2U1FTzme/cwk03f5HEkMP7XjybP53xzEHX6dSnfsSWzfvp/+odXLLuaVavfoPp06fz/Jbn+ODKLbTuamXVp88ZvdPcb/P1f76B9j3trHjiKRZPPoG/Pvh3hp+8Q0POpJRp4KDkfynly/j+7+N4CyGdl0cPtPUomL0jA3nXhHSvP00mwLaR/UmwPWRTNjmefkT9kB+PARDWEBVVyH0HABCFEaRlIi3THxHoyshfk50XagZ+eFo+1AAEYv58smMktEzNc1Nz80K88k0J0r1+Uc5c8c0cYdGjvsmBkVOf8uvM5JEa8IlcThnKkR5VPzgcLV998WwkjDYd0LPvwU745x+bt5O7HocJPcsRFyFOOIjE5K871PJ8/L1hbYoiUNQjDyzEMSbRCCFU/DoOLVLKi7JF6n6H/zCjEfhgNtRjHO8wOHf3kBYpojKOi8ujgwe4tLAOCcwocOnrEkQ0KDZcHE+hMjpId28xu3bNoMsMMHH1ENX3PMOkaQ0I1aX1QA2le3fg9QfYv34RBUUDlJ+9DXN3AdbeOGZ/DCOeoGRqE5neOHNdjXAkSUdHObpus7O9GilhcmyQfUNxigIZOtNBKkMZllZ3oosJvNEvSGDSEAyi4NBv+7krnoSkI3Ck7zY2r1CjPa2TcDwEUBKQgGB3MsNlNQqv9xl0mS4Ful/UUwhJVcjG9QR7EjqqAF1Imk2TiaEQVSFJPQYtKegyVTwkQ44L+EU6TenhSsGWAY+ZcR0JBFXfsa0sKHAlfLbkCv6r92EUdDJ2N+WhOQwx8hD1cKFnOeJy443fOojE5K871PJ8/L1hbb4pgHrkbd7BCs04oRmDRYsW0duzg2i0kIbuDiqBun6dVT9/kg9d+kGsfTZWj0nTlib2rdlHxew5TJo6leb2dhYsWEBLczNTp0/n3HPP5eGHH6Zi8WK6+/t5+S8G+zokC6ZegPbSChZes4BnfvI0511+PsmOBOEyyUuPPUTF9HKs1lZOm7+A3al1VEuPhpJSWlpb6d2/n7OmTqM+HCKwI8F1H7+SKPDND32QaE0NsUSC2hNPonXvHuZNn8EUITAGB3lj+3Z6S0uZP38+A909bNq+neXLz6K4r5eygQEm4KuMU6dOIf30CnoIc02lzr+++CKbN26ift4yYrEyQiFBJBKgpzfJjp1bKS2JMzTUxbRpsxgc7MWy+9GsOOecsxzpWTQdSBMMCoRi4lo9zJ9eSGTWmQwMDDCfV/ngj/6Tb3/ras5fupSLG5t4tb6On3/ve1yDg8oAb2zcQEHdHC5eW8WunX3UT6hn8xsHaG3tpb5+Gi+t2sjcP97Pzp17cdKCtn1dFBeVMGv+LNaueo1v7bR56ZmX2LNpN017mqAf+nv6sKSFKtS/n8zAO9YUQAhxKVArpfyP7Os1QFl29deklH88bp17NyJ/QG37oWN+YcksWUh0jN4mp7p0ppCv9CPC/p+QBEQ8SwLCGrJt9/AuMmlDRPfJTG6Z7vgzehoRCYFlgWFAf59PbpIJX+3RdYiXQEGlT1CG+22NEBgvb96xgGz+Dfh5NgbZ4pm6TyY8298/3Quh4hGSMvwe8wqCGpFD20MfitjkGyh4NjJPBRIwmtTkKz9jcCTV5c2ug7+fzACgZMPKjniiYz7a9fiJtfHs6xuAZ6SUPxRC3JB9/fU31c9xHFfoikTHICbDPPJPz/Hvf72AidEUA5aBJ+HCGpetAxpDjoKhSFKWQSSQYedghF1Dgs39JcT1Eoa2TOH08gSVkQStz82jaulmplywGmmqND26EOkJtuyfiKp4eFIwobQTx9EoLBwgVJCgJmDhmAZn1rfQ31kCwIR0iEQ6zMLaBC83Tqa+/gD1vaXsTRQwLRinLuwx5KgUGh6eBMcTtGcUIhpUhgRJRzA17rKlX6HNylBihmhNOyiA5SrMLLCx+3SWVaRoSQcYsn1iUxe2mRa3yLgKHRmFM0sDqMLD8QSmB/URaIhoNCahw7QJCAVTekyPGTQmHBKew5ZBiYqgKqhTYPg/NMv128cKLqc0IPlx69302wcOuiZHUl3e7Dr4+8kMcGw5NPL4DViEECX4hTVnZBdtwzcs6jmW/ccJzRjcdOONfOqf4kQ1k+jAAEs7OpCtZRRZRaghlR2vv8GM2hmsWrmOr1x7Nb/t6cPatAkXSCaTxAsK2LBxIy+88ALNzc00NzcDsO3OOxFDQ8TjcTKWxu57dlNSU8Lzv3gOtValuLKYpcVLCGgBHr7jz/zp1WZOmzeXwadeZ58iSEyJse3FVXxy0WJe+OlDLC1YynlehMvvv4kC4P999av0Oi4zLcGawkIM2+abX/oifUaA+ec3cO9tt8P0GcQDBqfMm09fXx+LCgrIDA6iAVc2NKCHQty8cxcNMZULb72ND33oQ5xw5kc50NxMPFaE4zhsen09M2fOJRjUME2TUFCjcd82unt6qK+vx7bT1FQXY9s2U6ZEueM/b+frX/s80omiuS4ynaJeUVAtm/fMquDlNRupjBnUqSqliuDn3/wmpYkE/3fNGp54/gXmzetlV5NLd3c/v1iT5sltGpefVcy8XWv5l0iSk3fswEorlEfLybRm0Eo1brnhFj79/n/iwQcfxO6zCAZCLFu2nB0v7cCIGbzw0PMUF5Rw8K3oTeAdqtAAXwM+nPc6AJwIRIB7gHFC81ZCDYyuG2MPjVYbxioInd3DxMQcdHC7bMxBh6KUi2P5y7UTCqDXhmIdwqpPdJy8uG5N8f+BAQwVaeeS+7PTsIYoKoa+XigqzqpD7T4ZMaI+EfEsMId89cYc8t9HjsSAT2yMvBya3FTNmhyoxojyoo4JPcuHlRytCuUjf9ucCjQWnu07reVq3ORC4+yET3bGOJ6NPv4hnOIOtd0/EIrCURWaY4EQoha4EPge8NXs4kuBZdn5+4DnGSc070gI4JLCGlwPHnvhDAxFMr+ilbRt8HJrDe1pgxlxk9xdIRIwSVkB9iQE7aaJaikUajr9jk3FYIS9iTArWiooee0kwqrH/LIOZs/ehp0OMmfiXizTYNWeabTun4QnBfFOi/LmJEHdQkqBqniYts7UhkaEkIRDaf6yeR5/a3Px5FIWVrbSngkxv6SLFS3VTI6mGbR1WlIathSkHCg0fBFaV6DfUikywPICuFnloDoY4I1+QdLxOLHEoTNjMGT7f7InlQzQlg6jCklAkTREfQKUyg7iVQFq1qp6YlRiKAauhB7ToTHhoOapnhJozlgsLdFoTip4QHnQt6FOuwIpM6StFoQwkPLguleOdx8nRZ7k1eR5w8s05ZNv/Zfgf4BjUWiOF4QQM4Fn8Qt8b8D/ep8IfFMIcZaUcvvRjvH2HGodJ5z9jRf58pe/Ql1tHcHuLk4rKkKszWAEDU5fdhpGk8G6l9Zx53/8ggULFrDHdqmbMIE/Pfww5eXlrFu3jrlz56LrOuXl5SxdupSCggLq6uqIhsPowJ7t2xlSFHY3tvHK82soUUoo7C2kOF1Ma2MrT9/+NJ+78HNcOutSul7qYsH8hSycuxDxUDvnps7hwH+9TufzHUysmUhVSxW/OOViTlsHkedbUVZvwcxkeP22h1lOIc/cdCsL9/Sy96GHuPbMMxC9PczQdMIHDnCOovDYvQ/gdfbQMAB9a9fyyu9+x0eWL2fR0BC1gBusJtLyKsFAAMuyiEaDhEIhWlr2YFmDBIMa8YIIsVgMXRdIz0IIF8NQKCo2ePTRVVxz9Vfo7ukmPTRISNcoLyjglttuZb3n8u1TTuVXDdUUFhTywAO/JXHgAEJAq2XxKcPg1fddwQ0PC676SxkrN0/jmT88S2HTy/z13x/lB9/5AX/5yyNsKN4Fys+4du31LJy/iB2v7cBLuvR3D7D7jV1Ulldx6kdOobetl/O+dB6PP/MEra2t9Pe/RREWOj4VOFJ7Gyo0gCGlzOd0q6SUPVLKJnxSM463CKOe6GdDo0ZyZpJ+WFYuJMy2/ZZyfDKyOUGqy0YNCFRDkOqyGTxgkuyw6H24k+SGITKr+qA5g2xMITcOILtNZMJG9pv+cQBS2eMnbb8BpBxkS6cfptbR5psQdDRBog32vgrd+/3Xtu2TmVy+jTnkGwrkWi78LN3rv5d0Lww0+WQi3TuyPPdex5IZGO2edriimG6WJCn6YWvYDLuz5efU2Am/5XJprCH/HNYQZHpHCnSOcmCzRrY7HI7W378Dx5JDc4wRZz/Df3iRn8FcIaVsA8hOyw/bDyEOsqA71LJx/ONx883fxZWCiOZx05UPUV/Qx/kN+9A0F0VIllS2URRwUIQkrLqUZMmMIiQCQUzVqQ4aSCSmdGlJCfYlfJVDFxLTE+zpL+Z3L5zJH9YsZUvjRApK+lhQ2cLCyhYsT2FeTRNru8rY3FXB5u5ybNcfLD+2cRGPbJ7Piu2zuWDadj4z2WJPIkDaMig2LGxP5UvLXuCceRu5bP4GvnjqGq5ZvJGPT2lnbmGaoOoRVCW2Bw1Rh5AqqAxJ5hWqXFCdYEGRzawCwYGURmtaQxUwI57mby0F2J7A8fyhbS58ShUSTZHEdP+4QsjhmjwNEY/Fxb5KUxVSiSr+c/5cnk1bWkEIGLI9Xusz8aRvZvCxomupi55JNDCBL1Vey21TP4Pl3kVxeD5DTR8k2bWK57tmkEzsGL5mjncfd0y7Cse777DXdW74AwCcGPr4W/6dkRxDDs1RQs6EEEEhxKtCiE1CiC1CiJuzy4uFECuEELuy06K8fb4hhNgthNghhDjvMIf+DnC9lPJTUsqfSyl/JqX8JPBF/AcyR8W4QpOHmo/XsGPnP/Pkk8/wZXeISdddy5N/eJL5VfNJ6gkiRgQzatFQM4FIt05JURF3P/QQp512Gi0tLSxbtow///nPGIbB008/PXzcgYEBAvj/Go0HDhA2TaaXlREvqqOhoYGeoR4SXQkC6QDnnnwumZ40ASvACaUn0PZ8K4FkgLpAHcIWaC0a13/yepx+h6HEIHMSc7GqLH5704MsnbeE0o+VcdZFy/n9g38ADyqVSs6vOJ07/u0OKAR3YgXtHR0s+PSn+conv8wt3/oO0xdP432nXMCmNzZhtrZz0Re+wF+efIJf3PdTznz/Fbz4xF2s6g3xwQ++j0AgQEE8jhAuyUQ/umGgaUFKisOkUoOUlZdj6Aq9PR1cdtlSNDWNrgcpDYUIOC6KaXH7TTfx2osvMmXRYm77/o/5xtXX8tKihcxLSwobE3SIIZ74aZyn29pw3QKWnryExmSS8ngt5eXlrH3tNT5/Sj0nqfexdeEgJXaUG2cN8u0PncijN1QDhbQVLuFzP/o869es529P/I14dZw1a9YwGB1gQt0E9q98iyr+5kwBjoS3J6Epyn8hpbwu72UZ43jrkFMAXHOUhfFwiJVijNgo27avmFgust+k8/leuntV9A6LSMClcwCKor7qYjkKBWlf2XFNiRoQBOIaIuNBMPuHHlb9+bAK3aav4hjZzFsj+6Qu5YCuIPt6ERVVfh8iUUgmkB1tiGg2hCsSHcnByZkSGIER5QZG20CneyBU4pOVfIvlRNtIKFgub8eI+ApOziJ6rBlBTsEBnxTBSChaLgQtL7xMWoN+DRzwP3N7yA9Fy//8c9vn+p5TdUaZGIwxKjio3k8eqVGNt84S+lhCzgAhxOeAz+Ut+qWU8pfZdRcBnVLKdUKIZW+yJ6uBRcewbBz/YHyt5hquv+gxUr0FrF25FFXxOWvtxP3s3z2RyZOb0VUXTXHZ3FUJwPruUibHEhQY0GdJBm0P2/OoDQTpMP1aMf2WwJU6tgdJRyWiuVieQtI2+MnTy1AETIulmVHUi23rnFW3n4Bhk7EMXu+spCyYpjyUoi0VYc9QgMdWzWIT21HRuDIq2dJTxoxQku6uUgaTURrqD5BKhHFdlal1TUy0dWxb4+Hts9CFwqDtF95siKSJ6jZFgTQhzaZeKliuSlEwje2p7OgvYEaBiwc+eXM09iSCCKAhYpPxFLysTbSatYqeFnfot1QCiuSUEg1DdbE8jZa0TY9MUECYfsujPqLQZUrSWKgiQESD8qDHBDmDkDaNG354DwyY8MRf+Y/J5/DJOTEKDYUBq53pcbilCZ5e8ggBzaY8FGHd8gdwvPtYt/wBbFfjtjcmsNcaokiEsKTLstBVmDgsC13F8+m73jJL6GNTaI563zGBs6SUCSGEDqwSQjwOvI9DhLIKIWbhR4PMBqqBp4UQ06SU7pjjzpVSvv+gPkv5kBDi+0d/d+OEZhSixQYt3R6fueojfDEYoH1zC8lkko72Tjp7OvnPu+7k6q9cTXl3OT+8+SecfOGFTJ8zB6mq7Nq9m0cffZTS0lLKysoYGBigqqqKtrY2KgoLsfr7KSksZGZtLfs2b8aRksLCQp55+hkqaiuYOGMiDRMnsnPnDqaeOpWurm7MtMWk8CQilREa9zdiRANUVJajSBXPsQkFw6hC5ZXVr3Djl7/NzT+5BbVYZdK8STz72HN8+lOfZu/GPcSIs/ykZWxKboK04MpLriTRnOCR9Y+weMkiSipK0NIaj/z+r5x43glsfnQLfa3dVBUX8ZM/PsTHPvYxPlBQQG9XO1ZZFY+vfJVF06IosQnoumBwsI+y0iJ0XSedsdm6bQ+6rjMpHOGJp//ChReeh3AtwopCsa5RAdTMnMVjd/2Jm796E3+6909cfNYldDZ2cPt3b+O8K85j8/2PsgGYPXs2jY2N9Pf1ccKJJ7J+/Xqefe45gjvgxLuWcsrXVtP+fy/lrK/fR8XZFRQVlaHpMZYuaee++77I+0+/ndYtLbz/68t4+s5NtE1pJdYQg5Vv0ZfmnRtytkYI8Vkp5Si/dyHE54FXj1Of3r3Ie/ovx+Z05IpO9rT7hMEwfHVlcwItpNKX1IgE/Hu/oUk6B4zh1wODuS+XiWNKiqeGCABuNixNNRREqTFMamTvaHVETItC2M+7EWU5UwDfOU329fqmBJ19fvxHwicDIhqDwiwfzq95kwtLA/+fJUdWXGuE9Iw1CMhtnyNCjpV1TctTbOzEQXVyhpFfeyb/c/VsZKZnJLdGDSAz3SPzWYIpxrqreRYEikfc2XJW0mNr2+SbDRwhT+fN4pjq0AjIkpdfHmaLU4FLhBDvxb9LxYUQvwE6hBBVUso2IUQV0HnQoYWoBGqA0P/H3nnHSVLX6f/9rdB5prunJ6fd2WUTmwMsYYmCS5K0iIAIKIpymM/7nfI7T1bv5+mdp4h4HKenYgCJImlBJEjayCY2snFynunp3JW+vz+qemYWNh1w6N3t83r1a6qrq6uqp6urvk89n8/zCCHmMzbKKQdC7+QzHcN7i9LhESjL4tMs8qaP8lAORXUQwr3NrqsWL7RNpOAIjivL0pbVaAipNIYsRgzNy4ARlOsCKd3MFl1xB/wBXVKwBaCSMhWGi+XkbNf567lsEKMrQEukhhnRHFIKHKBgq/TlQ0yND/Jij9tLs0t2kpPDhJQ4V62McnOdYCBbRmqoEp9qo3XUY9gaIV+RYChPLh+kLOKeF4Kaw7nN+8kWA+xKVgBgOSoT4oNkigEGc2GCmklVIMW24Sg+xe2V6ckHKNMtGoIWcZ9Ff9EN/rSl29yvKxLV+x+V6c4o0QFoCDmYjo5TDDNIhrSpsj/pcGNTkN93BNmdllzQkOOUlt0c96U2en5agdNlolRrmGsLnH/2i2x55EN05iBlWXyz7VQKxV6KlsY5qy/mrmkvc+mG8wCIhHKkshE+N7uVfcMJHm5T8UuF2qDKrkyBmeUBzqz+zHvnpOwoSPtIpgCHP+9IKSVQuqDp3kNy6FLWS4DfSimLwD4hxG7gRNwbI+OR5dA43GujOEZoxuF3jz5Ed9cW5n1lCoXBIRKJSj7y0Y8QN2JEomEqKyqp7EtQGC7w6c9/nt+tX8+cWbMwNY2HHn6YWbNmsWXLltH1JZNJ/MDs6dPZu3kz0UCAXCbDhOZm5k+bhk9K1LRKNBLFylrYZRa1lXUke5PoikYomiA1kmKod5hIKIKmaqxfvZ5pM6ZTEasgl8rh+B0Wz12MklX462V/Tfe+LrTXo0ztmU7bU638cf1zXHnRlWjlGrXBOnqzvVT4Kuh5toeT9VMwbAPZKfnGv97GpPNa2LJ5K8uuvJynn36aj8+YhjptOjFNZXdHO6nWViaMjFC94VmOn/9xFG2EpFLkuWcfxAw3cdqSJcTjFVRVxZk0IcKbm1Zy5klzEMU0NX4/v7zjdq67+GKaqqqJhEJc/sllDPQNsmn3ZmY2z6LGX80nvnMj9335PgaAO685n8/eu4Jly5ZhWRa33347qVSKCyrgqS748RMVPB8+me9VDPPUAAQTAc4Q7dQ2TqCz8080NCb598du4hMfvIvW1t1UnFjGSebJ/OHuZ7hs40/53bxPvvuD5r+pKQDwJeBRIcQ1wHpv3kLcIrlL/2x79T8VBxv0lgbsxfSY/XI24zbue0gP2hi2D4qQLboXopSt0F5UiQM15Qa6JhkYcl8zdxSI1WloARWrYBOu8UFXAavgoAUUl+CEVFexqfcj23KIWvcAljkTklnXHS0cHCtXMx33EfW5ZWr9feAbdMMtABGPukQsPo4slcI/IxVjOTel3ht/mWsRXULAIzmWp2Tlx6kmpfeMd1WDMTVF1Q8s4yspNjAWYlpSb7zem9HBwXhDAcdEBBJeSd3QmGPa27Y3vs/m7Q5q71lwpxBH4WJ2xIHH14CvuasTZwJfkVJeK4T4Z+B6XJfD64HfH+TtS4EbgEbg++Pmp4Fbj/wBjuG/GqaE//e7C7jt2odRFQefahGLJelpbSAYKPDShgWkTXcg3xDK01cIEPO5A/mQ6hD1uaVTtX7IWhD1CaI+yWDRVS9MSxDWJFnLPc6Kjhs4GVChYAtUAZ052Drip+BYhFUdXQimlgv2Zhp4KL2ZW6qO51K1iV8lhzBkDlVoqEKyLxWlOZIma+qs72ng9Em7MC2dvZ2NlPnzqPkgF0zajaZZCCExbI36cIYZTa1YlkahGKCY1YkH8iiKg+WofKC5lY299WiKg5SCfRnXpjlpqjSHDEwpyFsaQkCZ5ubOOLhOaElTJW8JVAV0AZ2FAgBhAmRFAV1q/KQjx6caQ/yiPU+F30RKwZeu/RCfmLmTXfdfyGnXPk7Xxmls3j+JhqDBLWetZP3WmQAE/DVc+PoFAFy/vh4AR1q0fE8Bcvxm2SQKtspvvnA/N/34agwbppcF8CuSgCL56nsU3CkdgXTenfLrva4Cr+Nm2P1YSrlaCHFAKasQolTK2gCsGreuDm/eW1EthPjyQeYLjrJq5BihGYdll58KIsBnOl4jHwuT6R6hNlzLow88ykVnXMRnrv0M3/rKP7B08QeZPHcesXgcpMQwDGbOnMmpp57KwMAAC+bP56kVK8jn8zTF4zTW1JBLJLCKRU5evJh1K1fy5q5dzDpuMtFQlEggQjgQQZMar658hSuvuBLTNEmn0uTSWSpiFWQzWVKZFIl4JRFfGCNTxMgWCRBAFzoUIBQJ0dHVQdzOsuDEeTz14lNcfcFVxCMVWG0mJ5SdQCo7wh3n3gEK/NVn/opkZpiHn32ExroGFvQsIHhykFf/5VUayxspJoeoqRlmzTPPsj4c4rsfv4Htu3Zx/GWX8jc//zk3XnghsUQlX7z0Ulr37KaKQZ5Z+SpzZ83ClxXMrqqmK5thViDA+rVruPn8C9jwq18zUlWNMqGJCZpG67b9oEEsFCM1lKa8v5zzLj6Pp1ffz7/fu4ILpsM3v/lNbr31Vi6++GIeeeQRIudcxE2xGLf82P19mfrF+KsXcfKSKcwfyFMZrKJ7SxefMp7HYRL5yr/hlVfAcU5mZssiHMehLPIeHfr/TRUaKWUfcIoQ4mxcKRjgSSnl83/G3fqfiYMFQJbgGG/Lh5H97t3Jwt4c2YKKT3UwbAWf6qoulX6b9qLKMLAn5Ru9MlT6bbJFleGMQzhg4tMcsn3uugMxDdUnPKJTQAuoqHtz+Ms15OY0YmoYAgqi1t2Gk0q6Kw0osDvnGg90FWHWW+yeCw4ykAJANPQhYuPar+LuHdVRN7W3WkcHImPhnuMx/v9xqFKv8T9f23NgC3iq0fiSNG9altbluaaJcL2r4MCYyYCXCSTgQAVH9R9IqMYbDownUO8hhALiCJUhR9lDczB8B3hACHEj0AZ8+K0LSCnvAe4RQiyTUj78jrd0DP9l2JuGiREoJssIB3MohQBSCjTNZmdnI0nDR0c2QNxvYUuBX3HQhSSgWhRshbjPYbCokLMEEY+4jBiCmO6GWyrCtVK2pcCRYDgQ0dy/liNxJJTpAluq6LZAVwSmI3lhyL2ZMYFJ3NG/iYLjnh/CSoK4U8UrfT72Gxla/AlCmkuM1qydzeQyGwVJdcCgv+hDF5KE38DB3YfWTJCipXHC9O2kMhES4TRNLW0ABOMp/FVJ8o+dQzyS5o2uJhpCRRwp0BWHqM8gY7q/UwXwKQ5ZSyVrqSieUuNTXSK3Jw0+oVKmuSeZpKUR0dw+nZf7BOVCoSHax6Pbj+eGGbtwHIXebITOP82j9vg9vLBjJoqQbNo2A5/qKunWd29G+9u7MLb+hGDHHlj6HRSh4ZvxCQrFXq7fmsDY9zueuPx8fvbE8/z046fw+lCAch3KS06V7wHkUSg0yCMqv3jlYvO8IO7fCSFmHWaNBztTHUx0+glQdoh1/PQw6x/FMULj4fx/XMXQUC+xmOAbLz7L1y7+EMl9SfI1OTZs3Mg5J55L974uvvhXX0A1NVL5PMO6TiGTIRgOc9JJJ3H33Xdz6imn8NSKFYCbE3DFJZeQGRqiMmi5DBgAACAASURBVJFgYmUlGzZtIp/NIhSFPftbKQ+HWLluJdde9zFeX/M6i+Yswqf56enswXEcTNPEdCx8AR+ZrgyqpuJYDrlUnrJwBMsymTdzPq1tbTiOTX1jAyPDSXZs3Ml5p19MrqBhpnV2Dtl8oLqGtr4CF133eSLxOK9t2kS9UeT6U6/nngfvYerSqax5Yg1N/iaCwSBPv/oM21fu4FO3f5LrYj6efvpp1mzazHXXX8cnLriA05snsHbtGkbKysjtb6V88nHMDgapyOZYv307p5+4mEXRcoK2w5fnzqWqLM5ATSO1zbWsW7WO6276P6we8nPJgktBh2g+SlqmaAjU84OvfpUHvvMdKk+8js+dG+Xb33ZLKOfNmUNzczMPPfQQX1q2jB88/DCPPfYYN1x9Ncu/cR9Tp8K2QjO5G9qo8unsaV7C5N9u4eMf/xRNd9xMctlGNjZWk8tLLtv4C+Z9/WG+8fjj7/zA+W/aQyOEuB14FXjtGIn5r4OU68ZCHUeJjddcbxxkMA9uA3/BwS6OnfNryg1aUz4mlBsMZzUK3vwQkAcKQL5YulCpBHNQrjpUR01MS0AWwgELw3LwaQ66OkZ0/OUafm8frcIwxRGL8qYAtuGg+hSKKYtArR+Zs8k92IvqFwQmeVVHpf6cgAK+PHKk6JawJYsQS4/ZFQGiutLtufH6cxgedMlLLH5gT06J8LyVAI3HW22jLcO1vg5WjBEZ2zdWulZybPNK16TqkRnFW1bVkV5Pk/Tc2EQg4RIbzylNjFdkHGPMHrpEiLzXD5VX85+BonJUJWdHCynli7glIHgWqB84yrc+4am4Exl3ppNSfvPot34M7zWWL/8HzgzeyATpx7FVbFsjHMwjpWDN3uPI2Soh1aYy4CoJRUeht+CjOVygNx+iK6/h95rua8M2jldmVLAFPtUlMobtGiWqQqIrbombJQWKgOqgoGgz6jxWpisUbElAVZiilyEQtBcKlJFgvjKXN2lDx0dGpNhv6CSVETaZaWLFcirVILoi2DysUBsUbB1RSZsOdUHX+UwXkpytYEl4qDXGtpHF1AQMio5CqKcBVUiOr+phyqwdzJm7BSkFVdUDbN45lWQxSGUoy67hCrKWyoKqPvaOuDc+bKlREzCwpKA378N0XOJUGYBEQMdy3M8/WdN5eSjLBTVB8pZgvk/wg02T+eKcvbzW2cziug7igTyqamN/5Trqnung3I89ivr5nyJ/cSMPzwtSEVzKmXU3ovs0xFV34/xpOcoZ30A+81UCS904uMCkD7NsIzx/Up6FtZ18esfVXBFdRVNIjH7n8O7sm6UjcN5D22YpZVII8SJwHocuZe0Amsa9rRHoOsi6lh9qO0KIE45mf44RGg8vvvgiF1/iY3DIYtqmHppOKyMfnsCrz77Khz98Be072mgqb0ZmJZrU8CfKiKVS7Nq7l0RlJZFIhIkTJzJr9mzaXnuNSz/yEZ5euZIVK1aQ7e+nrrKSmnCY7Tt28IGFC4noOrmRJMFwkCVLltDd18Wuvbuora/l2Wf+QDwWp7G5kWw+S293D5OOm0xjfSPhSARVapSHyuju7CYeixOOhKmpqUGVKkbeYFe2yJVXX82adeuwwmG6ent56ZVXMAyDommSbW+nrLwczbJo9/kY2DdMy3Gn88TDq9i/fj2p9Aj44NPLP006m2bFrSsILQlx+iWncOnZ59DZ0cGCToPKmEXQcTh/0SIeURRqCgWmRKO8mstycl0d+d27UPr7aesfwKir5fiGRurqazn9hDPwD/rY176XqlAVv/jpzynuN5g1bSYtsRZ+8h8/hQxc/fGP87Gf/5ybb76ZcDhMNptl4+bNbNy8mRPmzGH/Ttc9JAGk9+3Dr2kcP+kcTisvZ/CJSvY0b+XZKyyunBCjr/0hHiiD7A9PRI9N4Wv7JvNPx30Eo/gua9//+5ac7QYuA/7ZK215DY/gAJuklM5h3nsM/xmUSp1KKfclpQDcQfu4PhTp9amQs7EKYz2ThiVYODGPP6rRu0mhDugGct6jAhhirLlhCBi2FVqH/EzwlJ3hrIZhK0T8Nrrq4NMkelESzRcZaXNHJuFqneKIRf+IO7jP56AsoVIcscj2mZi2IFtQie0axLQFuirJFlWqm9yLZLjGhzYpBI0BMGxEzE9pZCCTne5t0NC4y8748E/v84uSslMiP6bpEqDxYaCm6So8JbWktMr80FgvTonwjDcqKPXgjCc4JdMBcM0JSvsy3vWsVJ4GLrkZ//0eQEoj743l81GaArwP+D0wglte8t42Ch3Du8KCmJ+CI8gky1EUG1232NPRREC1COsG25NRAqpbYlbhKzJY9NFT8BNQHPI2KMIN3awLFmnLBjAcgSZckqMK96dairSyHVcR1IVEB9Kme2zqihs6aTkQ97klaY6EvC3xC5VpooleO0Mj9WTIEyVEVNOpJUzGtvArCgFVIesFXG5LOYQU1XUb0ySbh1UaQi7RMB2oC0HKVBgoBnEkdOYcFAF/6J7EvPYJACys7mNSQwczJu1FERI9UGRyxv1dW6ZGyF9kU28dQc1mUnmSlX3VWNL9zPVBkz0ZnaThng8jmmCgKPjrqQY+Nc9rfZXsSev8/SmbaO2r4cKZmxlOxqgqc1Wo3Jee5uxfVqPOcAUFJynoyQe5/KsP4/QIhN9EAMoZ3wBALB3Lti7sfZDApA+z5MI/YucCwNU8NHIS981+DvP3CfRLjiqK5bCQjopzpB6aI6xDCFEFmB6ZCQLnAN8FHuPgpayPAfcKIb6PawowhaPo0x1nJnA17jnoiHeIjhEa4PP3DNI10MX9v/0Gn/3sEgB+/dCv+OSZn2Tp0qVsWLsBXfXx8qaXWFC5EE31M5jO0D44yNx583j2D3+grb2dq666ivvuu48OYFNXF9MnT2b39u04jkN5MIhdKFBdXs6s2bPZt2ULlZWVhMpDmNJEEQqfuOFG9nfsIxqPUl1TjeM4BCMh/H4/qfQIFVUVtLW2sXbNGhbNP4HamlpSQ2myVo5QJIg04Wc/+xlnnvtBeoeGmL1oEevfeINEMMiHzjqLnr4+zjj3XO6/7z5mz5xJemSEYrHIjn370KRECQYJJBJ89nOf44033qA6X8fP/ukezIkF5gXm0p3uJjAlQH1ZAw/88kGuvDLBovh0/v3mf+aM008n17EZa0YjS8vKaGtrY3btRCYtWcj6VesJm2H2rt/LySefwsjaJCdWLGbt+jWcvfhsjGaDB+59nKASZO4n53Lcl6Yg7DBZKZk/axZ33XUXPp+POXPm0Ll5M4NAOBCgODzM504/nd7ycoK2Tcqy2LBpE7FwmInxOLlHixTFvcQvaGL6S+1M+tYn+NHPfs3Okxbxhxef5f6LH3v3B89/35KzO4E7Aby7KacCp+D21lQzFsJ3DO8Qo3bNin6gJTCM2QiDO3AfHrtYyYEiFBz62h16U34ifpvhnA59MKXGvRh1A8OMWdUVcMlMjgM7tnPA9rfckQsVVVxp0UXdEET8NpmiSmOxiE+DbEElW1QxLIFvpNRgrI/28ZReA9eowNdtuK5rIzm09iKqT1DeFEDCqMJDhQ6NAURzBHKm+zkDCvjSLsnxqa7bGkMHhIOOKjt9Pe7frPe/LLmulVSdUllbotYtZdPH9dKUlJySsUApHPStV0AjewCpOSgcc7SEbdRJDTwntch70kMjhEAo751C8y7QKKU8733Z0jEcFUp36k+oTDGnsZVgJMvezkYmNXSgKTZJw091MMfcxBCdWfcmgCUVagNFuvN+Co6C6bilYz4FevJ+AqokbYJeUmcc4eW1uKqMBEzbXV4Rbh+NhFGVxpGgSHdaFaALQVhVUYWgWSlDFYI6XAXTlJKiI/EL97xUOjtZUqLglq6lTMmwAT5F0JaVo9u1paSjUMQvVCp0jaiuUHQkuiLYMKQS1gW6UsW2oQQTI2nXnlmzqI0PIqWgrrmT8kSSiS372bu3hYLh46yGTgDSRfdCXh/yUbRVkoaP/qLGmfU9DOTCtGbKiOk2s2I5LFt1M33yQTpGKujIRJiZD9FY3Uuodg4+IL//EQLTKrhl52nAaSj/8QmIHnqwEJj0YXI9fyRwSgxt25iAcdX3ngUl8N44nUngSD00R1Zo6nDLUVXcr+8BKeUTQoiVHKSUVUq5VQjxALANsIBbDuJwBoAQYgIugbnaW3YCsEhKuf9oPt4xQgPkMznyk/P41z9C9uXdVLwBH/nCVVidFrlUjimTp+AMS2oi1Txy1++4+NIr2dvVxbRp09i3bx9Nzc2cuHgxd999N5lMhlAoxOxZszCLRSricbLd3Qy2tyOEYP6cOTz4wAOcNGcOwWCQVDJFNBHF5/PR2rqf+oZ67Hbb7VaTAr/qR9qSSDiMhs7sqbOZ0jwVv+6ns7UTu2iTqEuQHMzgj0S48ea/omDbWI7DYCrFcTNmULQsTMAJBMjlciy98EKkorBz714S8Tj5pFsvP3vyZHb09vLk44/R3NzMqpUrufjCC3nzzTeZVjudl15+iWl100jlUpw3byl1Sh1tXa187PSPUdFSwZ7Vu3ni548y/8J5tMxtoSJdwdCGIUS/4Lk3n2d4+zD+fX6qZTU/XfkffPmmL9Hxp04m105mwlk1nHDZiXzn355jUmaQSR+4gBeee45PLlvG7+vq8Pv9PP7EE3zvttu497HHiFRVsWvNGqaefTaP3303Z8Vg9iSYPCXEnuHdbH8TrttzPV+/5x6+ceWVfL39X3B+/Wu+/dlPUfhemFgixr5VS2k56efv6thxfOAcKZXhL+JG69shXGlmNi6RORU4Hle5+dWfc7/+R8H2HMxy3a671sFCIUvIZscG8h0FfJpDAYirDsOoRGyFXW/YrtuyrTDJe1spUSnAgYrNeJLDuOnS8yLulakA+CxBAegY8lNgrFytY8hPynbL2oK4fTsBANt9X2naGPRj2Ap9Iw7xsEUsbNLX7hAtd8jnINhWQAuq+Ms1QlXJMWMCQFZ4xKNirLRM1AbHlB2zz7WZDusH9ujgGSiEw2NKjj7O7cw0ITkMNc0HWkuXnNaCFZ6iw5i7mmOAwVjPjO4tq+qj/Tej6yk5qYGr2oTq3M/zHhgDCFUcMVjzfTqtvCaEmC2lfOP92dwxHA3ODd3EZR/7Jdn9tTimhl8z0XWTkK9IRDcJ6iZCuOpMWLOIB/KMpKKU666tcUhTEXghk946/ar0gidBkRLbGSsxczyiYnjqjcSdx7i/JWXHdMCSENIEtgNpy8GUEt1r+gqoCgFFQRFgOBIHCKoqEknBdrxtCfwKFB2JglvuJoTrUzIpFMBwJEVvmFSwJUmzND5Wac3q5G0wbIWA6lAdzNPdMYGsqbOgEKBjJE5jdJjedDmmozKtpouhdDkpw+8pQQoV/gKqkJTrJntHYihAWLMIa24/y/buRgxbJVUIYjuCulCW2bO30tXaCEIjX+jEqZxJesVGys+HbHIj+ilLMBOToO9FQpv+gNzbg/ABZQGyr8VQP7+IwL5NGC1z8GkauZ4/omT7aV5WTfdzNsvfA2MAx1GOXHJ2BEgpNwPzDzL/kKWsUsr/xxGyZIQQrwFR4LfAFVLKXUKIfUdLZuAv8t7x+4/KukqmHT+VDyxZzeZNmznxUyewYcN6RJfC7T/6IT27e7jzRz+it7eXK6/5MAG/H5+U7N+/H0VR6O/vd8lJKoUQglwux+NPPglAX1cXL61cyay5cykYBhOmTKG5uZlYIkEikWDnrp1UxCuQlmu5oUqNhrpGLMMCB6TlYBYMMAVWwSKVTKMLHcUS1CRqUFBo6+hEhEJ0DQ7yZlsb7b29DOfzdA4PYysKJmALQSgaJZXPo4fDDIyMMDIywo6NG4lVVHDSwoWsXr2aaCTCHM/woLa2mlR6hDnz5rD7pV1cfNyHuGP5j1h3z1q693ZTyBR449k3aIo30fF6O9OnTuecD36ADSs28si3f0dXWxdBEaTn+R4GnhugIlZBZkeGSqeSE1oW8fvbH6PBX080E+Xceedg7NHJdXfz6JZd3P7DHxKybf55+XJ0n4/Hn3iCOXPmsHLdOuYffzzPPvkkSm0tz//ud5ylAMfDjJbp5AZyLP/MbVAPv/nYPXw78THavvUqf3/qZXz/gquZ9szLbHrjDcqUCMV0kW/d8u44fRZXCz3c46C3It4CIcTPhBB9Qogt4+bNE0KsEkJsFEKsE0KcOO61gwZVCSEWCiHe8F67QxzCKkkI8Syu88gtuGPbb0spF0opzztcLesxvHOM2jXb43ouspkxxQEOUCZ0L/htOKcTxC07yxZVwn6bYVzSAS6pCDBGYPCmS6+VkONA+HEVngCuc1ppfeCqLuAqQZ3e+obHrWPImy5tJ+VdJA1boTflY2e3uyet3T6GMxpdfRrpQZuBfUX6t2ToWzPCyIYU2e1ZCutGKKwbgc1p14Cgo4Dcm0G25Vz76v68u5GsiexMukGgyaxbnucrNeibY//HUmhuyTWuFA462APdrdC923VZy3S7y5XK1oyMS2xKf8EjMsZYSVppOTMz1gM1SqDGVLcDwlTfAUqmAId7vE+MZgnwunee2eydWza/L1s+hkMipKpcvvx6VJ+JbWmUBfOomk0omKcylEUVDn7NpGirhHVjNKOmOZKmIZQlrLlExpZuU37Bdg0BFNxp2zsVjBcJpfdc4t5rsOXYvBIMT7ExHEnBluRsB5+ioI9z7TMdiURiOHL0ENaEq8YEPVVHES6ZcRUiGDEd8pYk6hMYjsSnCBJ+gV5SjLxtmFKStdyfRtJUSZoaL/TESBk+TClY3d1IRzbCtv5aHClojg2RLQRHba6by5Ojg+LaSJqAaqEKScrU0RTHzamxVUxHIW3qBDUTXXHQFQdFt2hoaUf8472o//Rdil9+EEWzyHz5VsQ/3ovW04q/9XVCT/0KRpIIBaQBgyuakLaK8rOXEa0daI/8EdHfS3DtU/i3rqb9K20ova6KVFLn3imko+DY6mEfR7Jt/i9EP64pQA1jrmb/KcfqYwoN0N8wgDKiUDe9gwVl57H5yRf4689+hZ986ydEZ0XRZ/soagbb12+nZkEtycwwKVUlVlFBKpVi/vz5fP/7rrNldXU14XAYRVEYTqWYMWMGQU1joLeXSCDAmzt3sm/PHhoqK3n1tde46orL6e3rwZIWx009jlUvr6S+uZ6G5gZWr17NokUn4A/6CYfDZIbSKKpGIZNn3ep1lEXKeHzlE3zxE1+lYNtEEgl6CwXq6+vpHRwk5zh09vWh+P2YpklZRQVSSnKGgWOaTJk8mcaaGvKDg7R3djJ37lwmNzXhCwTo3LuX3q5OLMeir7+PpeeeR7FYYHJwEu07OvjCpZ+HLtj9uz081/pHdmf2oFysMLtuNidfdwrd/d0oPQpvdrzJxKqJzD99PhtXbmRlzyoWzVzEwNoB9mX3860v/QOXXXspNbFalt/xQ3TghqVL+f0zz3BcZZjYVVexd906IpEI2zZvpmzzZl4ETgL+7tpr2fj6OtbtyDNpaguTZ0zmxR1/Yq1YC2cAPvjlS79yR1874fgLZrDtqe1UDQVZ1DON577bzaL6a/j591/i41/e/46OHYOxQd2hcJTNKL/ALQH75bh5/wQsl1Ku8LIk/gk48whBVXfh2i2uAp7CbdZbcZDt7QXm4tazDgIDQoh+KeXA0e3uMRwRo6GL48wASvMzQ+6A2xinJoCrRABW0u1XCQA+1SGiSbf8S5MM53SOxyURedzDG1zC0eA9SuQjx1jjQ/wtz/3AHm/5AIw6qdWELQxL0Deij6o+AW87RVySU0KRAxNa897zeMikb0Qf3d8CY7bTDHqEqRsaKgoEYhqFpEV2ixsemi2qJGoEhaRFuFonOs1TZUKq67LWk3cVHF0Z7TkS8YqxsjNwFZvkMFTXHpiVU+rDGR6EeML9v6cGoXKCS1AKmbcs7/U0jbeR1sf18pRUm/HGAN73/m6UGiE4csnZ+8Nozn8/NnIMR48PR/8KBdjudNG9ayI9QwmCukFyKEZ/Mk7EXyAczLGmrYVy3T0u86ZOuW4QD2UxLQ2fEiOHW1ZmSwioksC41gpLCgKqSzxsB+xxx5ojDxxlerm8rnGA4qo4ugK2DT5FwZISS0rimkrUJ2jLuTdrFSFQhUuoSiqQ4hEb0ysjM72NRXXF/U3gvq4IdxvSgbjPpSCllsOCDVnLQRHKaKbOqgE/9SFJ2ixZUfuYWq6zJ12G5QjiPld5aQASgTyaYmNYqktUbGgOZ4gGCqzrryJrKUwvz2JLwXAhSLm/SGNlHyO9lfT1V3L8iZvw/f0dxO7+BExtQr7RyeD6KfT9yD1vqNpcqqfvwxhJ0N9aj+4zsQ2dzl0TibyZpv6MzZA2kfEEorcXvcri3v/7UbI7u1EzwwQWvnOlRkrx5yQsh4WU8hIhRBRYBiwXQhwHxIQQJ0opjyob7xihAdrtPzDYN8LwtrXcU20z7f9+iU1bNtFn9PGxqz+Gtcvk5utv5uGfPIwTsIkQYffevbQ0NRGNuuViBc+3fOGCBezbv59ly5bxzW9+k1uuuYbyWIyhPXuorasjn0qxcPFiYlVVtDQ309/bRzQaQwqJpmicuPhEhoaGiQTKmDdnHrHyGIODg+hCY7B/iOb6ZopmkQWnLiQSCJOoa8QKBOhvbydQV0dFYyPD+TzS70cqCknbJqyqpFIpqmMxRjIZirkclQ0NDPT1sXXnTnQgbxiISIT2jg5mTpvG4PAwEye20NPTzcSWFnKFHLt2vsmSM09jUksLhZEine2d/M2XvsKeXXs4LjQFf78fv/CzfdU29JjOlOlTqaSSX9/3a06++CROazmdYH+Q5M4RFk0+iZnaTBZ+eBF/2PsM+YEQX/vsZ1mxfTut9fXsAt7IQ0JKzr38ctL33MOsM84gsGcPtckkX/7MZ7j1ttsIAGoA0uEMq15fzaRZLbS3tXPNNdcwnBlixR+fhqlg6ZBMjsBUGKlaz686VvOhmy/itdVPcnzTDGD/Ozp2MkDyCMscjUIjpXxJCDHxrbMZ62WJMuYMctCgKiHEfqBcSrkSQAjxS9xMmbcRGinlp71lynH54SnALV7D3xYp5fVHsdvHcDioPtfhzDFHbYABd+AMYz0f43JnyFmQsymO2Axn3NOzT5NkiioFoM5v4lMFvbZCjerQ6SkjIe8RYKwEDVzC4ff+DnvTjJsXx1V6Wm2FCZ5RQLaokvFsoYPe8iUyM/69pb8l1aZUglaAURJTqdmuAxvugdxbKnew3XVnukP4+hxStquSlAhcx5BCxK8Sztp07sugaxKf5hDbkCJc43PzdKaGoUJH1AaRDCFq6kZzfOTwEKLUm5TNIrN5RHUlsrfbnQ9uiV8JpXK1t32Hh8kPGh/4GfSPzdPfvTGAUI6i5Oz9GZe8Z5l+x/De4MGRf6U+fBrXxWdTUfMm3YOVWI5KXzKOrllEI2mG0+VEdQMhJEHdREFSFUmTLgTJmzoJv4UqNLKWwLAVEn4LTSgUHVCQXjmYe4ApuBbNggMEZM/SGcKaq6IYXgmY4/XUhDWFrOUQ0xXCmkAgGPScG0sqjC0ltneBLJEW0wFdcdUiXRGENEZL4cBNcQx4vT7luktSFOGqRg6uAlSmK9gS8qUILAH9BZc85W3Xhnpr0ocqIGNJirZKmS7YONxEd97mzBoH0xHMqxwgEcqiqTYdIzH8iqQgoOgozK/ppmjqTGpqJ52OUL9oG3LtTIbaajFu/iZCTKC8OUvPyplofgOf30BRHQq5ACNttYQqRgiG8oRiadasm0+yGCTUa/KnrbNpiQ2x4IyVtG9axCefn0pKZLhh2gtI3p2F89G5nL2rTbwrSClHgJ8BPxNC1AAfAW4XQjRJKZsO/+5jhIYvDj/P7T/4O2757KVIZxp//a/3cbnfYLGqcvmyy9D8KkpCpev1Tk5cdAJOwcGvKEytqODnv/4106ZNY+vWrXz0ox+lkM/z8COPALB161YA1m/bhjE8zNKTT2b3pk0kk0mWzJvHY08+yYUf+AANDY10dLSTqEpQyBQoGEWK2QLD/cOAIJfKEQ1GyQykKQtGSCaH+fGdd9E0p5Ebrr2BaG0tBSDS1ERBSpL5PLrfz3A+T6isDMO2KToOvkSC3V1d1NXVYQjB9r17qU0ksP1+FMchbRgEy8tJdXezddcuopWVhMvLmRQO49N19uzaTVtbG00Tmunq7Gbt2jVUVVYRj8WpqasFCW1trWiKRl2iDiEFxS6LvGXxoas/St7vZ8Xr29m+tQfbaOPUuXOZVd/I3y9fzuc//3lahaC7u5vzFi3iw9/9Lg/+7d+yoacHp6yMtG2zubeXriefRAFmH+fj1ttu46Lzz+eFFSvgLPjA4rP5yW9+StfWLnS/zqauzSQmJECBRVMWsm7f65xx8en4HB8NhUa2tW5l27ZtxKtiBPxH6uo/NI6W0BwpqOoQ+CLwjBDie7jload48w8VVGV602+dfziUxqR5b7oR1+rgGN4FRkuOHNNtFndM926+PY68+Pxvy6DB9/aLjWEJhvGUwJw+qoKkbGW0LybOGJEZr8KMR0mhGU9qSusp/S3HJTWl7ZWIzPg2seK4v6X5Od5+oAUAXXXIewYEhnchHa9o5oGgpzR1e+sLefszXFQJesSqzls+MmJjbLHxaRYNr6fJFlWi5Q7VZ1bASVn3FnHM76o3rUMQSo9uSw4PucGg7ogJ4fMjjaJLcIzi2+2iE7UHkhmfR1TMzIGmAqO5NGkI17nf8fjv+Z1AFWNR8IfC+0NonsQd4gjcr7QF2MlYdtUxvI8olRwFiDAnlqJjfxOWoyJsia6O2S/7NRNLKiDBshXKAgUKpk5vNoIQEtMRSAkVPhsHQW9BQ1O8Bn9PudGFpGi7ZEEZRyhsiWdxPPZcMEZmFAGaEBS9rJqk6ZIagKxtY0tJzraxkehCQRUCXQgKtsSnlkiUS9h9oqTaF0h2VAAAIABJREFUjLeIlgRVieEIDBsimsSUgkJpeQQOkDIkAdUNy7QdRkmP5YzdDLAcl1zpilsiN2xIhm2Dl/v8qEKwJ1PLokSO5kgKWyq0lKXQFIeBfIjayn5y+SBdvTXMPW01ra/Noyw6gmG45wPVb2CsNiirHiI3FEUPFHEsDdvWiE9pRykrMNhWz44Nc+nOltFYlsK0FeY3trK/v4aHHr2I9UMR/m5mD+evexgQCLR3RWocr+TscJB/IU2/Uspe4A7gDs8s4Ij4X09onn76Hj64dCk/vvO3XHfdQi677FJOmDuX+tZWlF6biRMm8uxrzzJvwnyK8QL/9s1/40Mf/hj94TDXXnst+XyeuXPncvvtt3PuOecAcNaZZ7Jv/340TWOov5+ezk6CpklI17n88svZsWkTqqrS3NKCLxAgFA4TDITQNQ1N1YmXx13FxwHHcFBVhfJIlO/+5ruEciGmz5zK6WdfwMCwja0rFBSFzr4+9GiUtJQohoEhBDgOQyMjlMViDAwMcNzEiYzkcuQdh0bP0CBr22i2TSqToU7Xef6FF4g0NjKhtpZwJMKOzZtZctJJ+P0BFi1ahG3b9Pf1ceppS1BQ6O3uIRqN0t/fT3NTM4ODg1RVV6OqKoZtk7csDCnJ2zaVlZUcv2QJI7bNY5s306HrJD74QbbF4+zr7mZ6TQ3fuesu5sbj/KGtjdpYDCMQ4Bvf+x6XzZrFji1baKmH+uA0hniDZ1as4B+fvo1v3HUbRW/g8clLP8lP7/0pjIAz2eHcC87hxVf/BDn4wf2/5QsnXMm3f/1tln/zNgYGBnh923o+eMFS4I/v6Pgp9dAcDjZHDqo6BG4GviSlfFgIcSXwH7gWiYcKqjraACuEED/AJUhTgI24ds13A9dLKY/E0Y7hSLCNsf6Kt93hLx6oBvh8bulUzkJm3AyaYsrC552dDVsZtWR2m/NdVPpthovqKJGIe697psejBKG09fFmACUMAxNUZ1Q56bSVUUnxaDx6x5Oa0r6Vq85o6Vhpv0rbGo/CQaaHxz3G73vpvf6iSgUQt2Fndwif6tA3AgOPjKA/lqS6ScEf1UZzcsSCKNKwEREd2ZdDRHQ3J8ewkWEL0eCFWY+3hNb1A5+D+53lvb3xe/kzJUvouHfjUC9790SmBIW/iA5XKeXs8c+FEAuAT/+Zdud/PQK+RqJ6I7Ywub+1jMulQt7SmF3dgyoculIxdNUmHMxRXzZCpuinIpwhWwyQMfykTZ3+ok7MZ5ExVXyKJG25B1qp9MyWXh+NV1pmeSSp9Nx03L9SjhED972uwOxIKDiShpCgM+eWiA0YNgpgSoeAolJwbBQEIVXBka7zmXRAVSCglnptXPPDmC7J2YIKzSFrCcKaQ9ZSKHhKS0hzJaGQ5tpH28I1TywRG8sGicRx3J6bUn9QqT/Hlu5ntqUkZZnY2Oy3k2hSpctU2ZnRiCiVLK4UQIiagEFNKMfW1hYWTNtBKhth66uLOG7mToqZEInJHdh5H6EpPRQ7KvBXJhGKQzEdJnHSNgrPLqDQF0fPZ0k0dVMzfS+LDR/b1szFsDUGRmI0xIYwBquI+Rz+bWc1ilKG46SRR1XvcRj8BZecCSGOZDt78ZHW8b+W0HzdfIFvfetHXHLJR0CmmT27CV//i7S0TCLe2ka+PcVzTz3HheddRMO0RtY+uobVr6wBHwzm8/R2dLCzWKRoGCxd6vZkb9m6lWWXX05dfT29fX0MDg7SUlPDcGcnVWVlzJo1i9bWVhKJBKeecQYbN2+mvqaGRDSKPxjCtm2QknShCLYbqunTfbR3ddNUX88lJ11BorYWS1XJSUnI72cgk6EI6KEQms9HQAiS+TyirIzOnh5iFRX86je/Yen55/PS66/zxOOPc8Vll5GzbfrSaXRNQw8E2LxjB0uqKvncV2/h69/5MY6qsmPPHubNmEHeNPGHQrS2ttHQ2EDTxCZUoZIaSVFVVY1l25SVl2NZNrV19RQKBRRF5c1du6hvaaF/aAgZDFJeXs5QXx86cMrixXQNDlI1bRrPrVrFvv37iV9xBcXmZjLJJE4oRNrvp6utjXPOOYfKcBhzyxZOPeESIpWVbHzjDcIKPPGPT3DbZd/gtq8t59Zbb+WH//BDPnvjZ3nsyd8zIzmDlVs3MmyYZMJw5kUX4uxwoAJ+fOe/suTMU5kxZTp7d+x5x8fRe1VydghcD3zBm36QsbTcQwVVdXjTb51/MOwDfgNsOJSF4jH85yHlujEy41k1j5oBqOPsm/t63NdKPSA+P3LEgIIDQ65CULJFLvWsTPHbtJdIQshdJo56AMkpKTVBYBJuQ38JhyIorSUyw4GuaON7cUookZeSrBdnzC0tyJgJwWi/DGOW0KV9LPB2g4K3budQ+zvszS8RoLituGV2WQ2fJunbIjBsAS/liYdMpu/NEZgUQgbczygrdERzyC30B+T+HghpiLjpZuBEyty+m2wG99fNmFW0rrvqTU3ZWH6NYoBjIvTIWJ9NCe+m7EzlL0WhOQBSyvVHG3J3DO8dli//ByaFz0dXgkSpokieBRUS21GYWD5CJJjDcVTqy5OURzKYlkYsksZ2FIKBApFQjmJ/NVlLJWspdOf9JPwOuiKp8FkUHUHeVshZitefMtY7Y8mxMjJNGSvtUoVLCvDUm5LbmcR1JmvPuqVrSdNGSnco7hcKOdsipGoYjuPaNyuCMlVBSpfM2F6gpc/bVtpywzVtKYj6HCxHULQFDUELBxg2VIKaxLEEApekCMCvuj9zw5ZoXj/a6D56ZGY8CrbjqkZo6FLDxiEkdExpoysKawYlAUUhoAaZE9e4cOoO1u6YQU1Zikgox5o1C5k3cxuBiUOkNkwgvbUJfyzN8JsTKOQD2JZK7rl5+ANFckNRcm11RKuGyPRX4NgK6WKQoG7g0ywyhSCqItmXURi08jhOGiEC6GoMw+p5x8eR85ddcnYy0A7cB6zmHZzh/gLuAf15MJyMUlkZo7NjP319Xei6Tm04QkDTWH7//TRNbaLoGGR2pHns3x+jYWIDN910E+d+8BykEISrqgiHw2zYsIHly5dzww034DgODz/yCHfeeSfbtm2joqKCZDbLRRdfjBKJUHQchjIZOru7qa2rIxSJEEskQFHoHRoiaxgYUqIGAiSzWdRAgIxh4I9EGMjnqZ44ETUUIhSNonvr80civLpqFXokQsZx2NPWhtQ0isUiqq7j8/mYv3Ahw4ODbHv8ceqA1a+8QjAYRFNV0vk8j65YQV4Intq0mdb+AuedeiqzZ8/mU1/4AkVFoT+Von7CBKrr6njhhRd59pk/oms6A/39IAT5YpFYNIbpOKxdt47tu3bx2qpVLPSsqZvq6xGeYhOJRlEDAR787W+pqakBwB8IcNFFF2HbNslkklNOPx1N07j99tt54IEHmD59OuGaGk5asoSa6dN58sEHWXbVVdRNaGHty+vc8r56SFspsvksD/7+QeZ+aC6v/PEVUs/1cfIHz2XyqadQtrcXfzgAXbB4wYm88cYb6IrO008/846Po5IpwOEe7yKhsgvX3gDgbGCXN/0YcJUQwi+EaMELqpJSdgNpIcRJnrvZdYyFWx0AKeUdUsp1x8jMe4zD3aG3Tdc+2DTd/o1xPRwym4dkEXI2hb05VN/Yufz4kMkZFUUGvD6aAC5hyHrlWDDmeDZe9RjGVWvijJWX+TmwfKykhpSIz3iL504OJBmljJvxRKOIS5xKbmkRv03KVkZdz4ZzY0pU3ttWwHtfkaNTgd6K0v52jlvnwbAup7PyJcHGB1JkN3ilZwUHOVBEpkx3tJQsQrKI3OeGWstM2u27KbmmlSdc8jleUSumIeUNKlTfWE+UcpAenHcK1euwPtzjfWiiEUJ8edzjK0KIe3HdiI7hfcRx4QsBUIUfBwdd+vErkuMqBsiZOulcGFW1SBVCdA5WYZo6lqUx/bjdqIqDYfqwpUJzJEtTyKAuaFPldx28HMBy3P6ShN8irDkkDYEpXYKgiTGrZsDrc3EDOEuHYMn9TPF6YIqOxJauDbMCXvO/u3BE1ZBSogqB6bjnrbAmiOjC3ZbiNvZX+CVRn2vPDO511JaCrOXm4uzPanTmNJKGwPZUB8Nx91dTxvZLU4Sr0Hg9P0K4ZKZUSic9dSagKkQUjZDi3ucXCPLSwsRBFZC1TXrNAoYjebrb4bo/NSIEhAN5dvfUA9DfU80rv7gQLVRAD+cpDMZwbIXyxDBl8RFMQ6dY8LNyyyzKE0msgo9geYZgeYaWuk7iZSmEkNQmBtmejBJU4bXC/ahKFFUJvmuFRjoKjqMe9vFnLDmrBW4FZgE/BM4FBqSUf5JS/uloVvC/ktB8ZOuLvPba83zkqmUkEn62btuGY3eRGhoin8lw7ocuAlvw1b/9W+ZdMI8zzz6DwZFB2nvbmD1rDtWVlTSWlTF/wQKuueYabrnlFh566CFqamo4fvp0zjrrLABmz55NWTxO79AQdU1NpA2D8kQCW1Ho7u/HsCzi1dXo4TC+YBDN5yNnmqSzWTdkStcpOg55w0DTdRxVRfr9GFJiCeFmywCnnXMOBcBUVYKxGNlsFk3T0HWdZDLJ2rVrqayupnzBAvzAt268EcMwiFdUkM/nmT1vHl/5+tfxTZrEnQ8/zDPbt1M1aRJ7WluJxuMEwmHWb9yI5vejaRonnbiY3bt20TxhAv2Dg4TDYXLFIp1trUxoamTxwgWcc9aZJNNpuvv6sLy7M7lCAd3vDqfOvugihBAoigJSUlZWRmdnJ5WVldx77704jsOHLrqIm266iV/+8pd0DA7y8Cuv8NCmTWipFC8//zzz583DduDBxx/ipstv4kf/dieNzY3MmTebx7ufINvkDsemdpXRPHUap5x2Co3lDXz1y1+lqrKadDZN71AvjZOO1GZyaJQUmsM9jtK2+T5gJTBNCNHhhVN9CvgXIcQm4Nt4PThSyq1AKajqaQ4MqroZV8nZjWtidTCHs2P4L4C0Xht7UnK9ctw7+KOD3tJd/PDbwxulYbvlZiMW+zzqWgDCAfeiX+m3R5v+W23FzVkAarxmfhhryi8pJSV75SMh9JbptwZ0luaXSE6JIOVw7fIAptXl0FWHAC7BSo27E1hgTMEJciCpOhgORrpK6sz4/S2t17AV2osqhq0Q8dtsG/f63pzOxnUgOwqQs5Grkq419Kph5P9n773D5KjurP/PrdB5uicHTZA0ygEEAkkgcrZJXsKuMTbOi722sdfr1zbrCF7Wa3v9rhPGi/zDYGOz64iNBdgEg2QBEkmgnDUaaXLsXNUV7vvH7ZppBAj9VlrkwPd56unumgq3p2t67qnzPef0W8oaGtRMzPGV1mZsVDEz3bsmwzvzucm8G4Cx7kkAq4cnP/OjUVpZQ3Oo5fWpqooljNLUvOX1OvkbBXf9XyWXLIkiCb0eV7gs1DpoixfYO15L3glhOybjuSraGwbwfA3LCVFyTYTuEwqV0HWXbCmM5wsao0VyroYuJDNTY1ieRl1YGQd4UjBe0ojolO2cJzUzvoR0cLmXRf1BBaYBgc5GotrIgtKEav8SQuBJBaI0VP6MQGB5ZdmYNnl5DxYFEU1y4ZRRXKla4MZLGnrZuSymS+KGpKr83VcX9qgOqeeCSTtpbWJM6meBFsfxJXnXn9D6WJ6PKyV+edzB9iVc0q6LKXTCQqfkSxx86kWCb29LMJaroqNumO3jtWzubWfqlF5i8wYIN40x2tdAKGahmS5Ck5ghh3gqy4kzdmHGLMyoTax1iL7uVkqlkDJziOdI1Y9S8gVv7ezhwtg78KWNlD6+f2Qtrb6v4XmHXo4VQyOl9KSUvysbEp2CmsM8LoS44XCP8VfZcjZ35hlMnx7DLg1iW3GeXvciJy2uwwT6+/vQfB8pJU8/8zRTrFbGD4xz+tLTyQ7n6O7eR3e3S3z2bPKOQ0dHBwMDA0ydOpXp06eTSaepSiSYOXMmu3fvJpfLMdLTw9jICPOnTWM8kyHnulhAW3s7JSnZvncvUxoa0EMholVVWJaFk82St22KpRJ1tbWUpMQMhSj6PsIw8KRkLJfDSCYpSYktBCNppebQNI3R0VG2bN5MOBLhoosuwrIsmpqaWHDdddz7yCNE43EeXLWKv1m2jAM7d1I4/3y2dHUxb/ZsOhsb2T82hl4q4dk2C1taMAyDP65ezVuuvBK3WMQIFVi3dh1aOMzGzZupikRYcPzxtE+ZwsN/+APLzzoLu2hRXV1NV08PjqYRTqXwDIOi67J182ZOP/10frNyJVdddRXbt28nEolwzjnnsGzZMkzTZOu2bfx25Ure9ra3sXvXLq669lp+fM89TIvFOGHJErbH49RUVzFj/gwGuwaYN2cuZ77rTG7/Pyu4fuXfs+L732c8BQ/ln+fqtutY+eF7OOWkU9jX28WaTU9w/NLj2Lu/i0/emj3k9XKoOoouZ297lR+d9Crbv2JQlVRq9IWHcco36miXHpqc4Goq4FGWMi/X0AR3+0OhSYtgc3Ly75UkfYXQBCgZzxsTls1NZaBQg5qs1xCI7f0Jh7CIp02AmgCYBLbLh6qDAcyruaWFeTkrshsIDUZoq7PJ2zrTGy2MsGBNV1SJ+yv2iaKYo9GKx0pL6YPBTKWWptKxrZlJoBPodPqAqa6YCB2tD3s0pkoMpkP0PZclvl9xWPGSj1FtIjdkETEdGdMRp9chx22lt4mVJj4bEQorQBO0osXL7WWWyqIR9fNVC9pBDM0RhWsejobmdcA0QSaVEKJKvZS519jljTrKtS/3CFMT5xOXKcYZoEY24GmSiO5iaj5jdgQfgSYk+wabcX0Nx9PxpaCnu40p7T2kM0n6itGyGYBgWtwmpPl055K0x4pkHJO44eMDpqZPgJiYMQkAAntlmMTTQctZIOAMzAN0oVgaygAmiJT3ymDBl5KIrk+wOsrxTNkwB+VK2JYRFLwapkRdeooGJ9Wqy2/tcAJdCFIhj5IvqDJ8nHKmTpUpsTwxMQ4H9V5CFW1nAVjxJ96bwNQ0hJRYvkdY6OjCoFeOUyVjWNKlVg8z6BVwXJ+oMKgNGey3i3xzUyuLamB2MkfMcGg7fz34cODJRYyM1xCJWmRGqknWjdO0cBfje1qpbR2gmE4Qrx/nyZXn0dHcx8hYDZGyM13f/lYumb6HkXwVT3qPY+rVeH6RsFnDJ2887Pn9y0ppn17ri+PYaWyEEGHgEuBtwDSUKcCvDnf/v0pAs37Tz7nvNz/jrdd8mDlzPD7zmU9Rbz/FSDGC4zpcZkZZv/F5En6CSCzC6Seewb9//d/5x+s+RqpYjWUdYMOTT2LW19PQ0EDPgQNcfPHFFAoF9tg29/32t0yZMoWxsTFGRka46NxziQiher+LRepra0nV19PV28vA4CAHDhxAk5K2aBTN9xkZH8dyXZqSSWLJJP0DA6RSKUxdx/N9+gcGqKqtJRSPM5LLYSQSpAsFPM8jkUjw6KOPcvrppzNt+nSeeOIJBgcHyWQyypBg61aWXnopmUyG2gMHOPO88/DPOovvrlzJueedx7PPPENDfT2bnniCsT17eMcVV/DAo4+y+fnnufKCC8jl89RVVxOJx6mrbWD988/jFIuccdllyFKJ4UKB9mnT0HWdfd3dtM6fD0A+n0dLpRgdGyMej3P+hRfy5S9/mU9+8pOEQiFaWlqoqqoim81SVVXFypUrsW2bD3zgA2zauJFlp5xCPp/ni1/8IjfffDOR3bv5zfbt6FLS+cxuIn94gZPnN3P7+1fQdFwTKz74fZb8y9n8/LHHmTY6zrYfP8xuczfmepNtO7ehV+ls2LQRqo/sWvpf1tC8LiWEqEFpcia+D6SUzx+7Ef2ZVmXuTOXdej2s2s2C4MUgK6VUQiSqkGNppaatqICJsYA9gW7Gm5y4h3SfvjKwUefUlHambOdcKgdljnrayxiawOIZJrUrldqZyqoEMZVVCXCC5/s8jcygUsrkbR0nLyaA1R4mNTdBBeYFlecOjhl0iTeXnwfaoMpMnX4mmaLgdzbKpDW0BRRtndxgFAsoDUaIpz0aUw7xphBWv42ddok3hTBiOvLZMdWSFtGUHXRnAtFajRzPw3geMb18IseZtHkOHaSd8eyXa2n+J6X6dI78OEdYQoiFwN2UPy4hxDDKOGTTIXd8o45azYtfwbgc5GR9Nq2xNtals5zWILE8A8uDmbXDdI3XMqtukJDuUh21Gc5X0dnUR6IqRzSVIz5SKIdmqr8N4epknBBJ0yMec4kbLkNWGE1A3PCxPH0iG8YpO4QFLErJl5hCTLRteVLdjyl5ky1oTnmbgu8RFuqcfnnRUC5olB9NTQEdTYiJc7kS3DLa6M6DLnQsD+qjBYaLMUwNMiUIa4pN6rcMYrpqg4uUA4lH7HLGDWp8ri8nxhxk3QTW0kFWjuV7mELDlxLLd0mimPSYMIjpGqZnoCMmWujmxmMTQaKZUohp1aPs+M1pmKaLZYfIWlGe3T6X6kiRkb0zqNuSpypSpHP+DoSQRKYMM73tAFW140TjRcyIzf69HbR2HGDf3qmEdJdObTFd5kZKfg7bebUG28Mr39fw/UPfKZHHiKERQvwQdTP2QVT+3v/v75i/PkBz8ReY2n4+N/7zuYTDDp73JEPDIxywbBaGdOYsXMjQqieYP3MBAxv6efBXDzDcOwwZ0GyNXbt6MSIRpKZRW1tLNpulrb2dBx98kC1btuD7PqlUit5epcUOA+F4nNzYGJZlEZKSfQMDFDMZRsbHaa6upr6+nobmZuLJJLqmqdayMgOjCYEZjSJ1Hb/c6pCsruaRRx/FTKVYvHw5O/v6MMNhqqurWfX440yZMgXTNInH4wghmNrRQaq6Gt/3OXnJEjzP48UXXiCfz/OxL3+Zi5YsIZ1O44dCdHV30zZjBkOjo1x1zTWc0NnJY/feSyoG9z38MLd84QvkLYvR0VGKts3shQtpKGthBrJZsvk8DfX1FIF4dTWmrtNQX8+eLVtoME2qEgksKdE0jQ9+8IM8/thjnHveeaxevZrTTjuNdDrNb3/7W6677jrWPvUUzc3NbNu2jR/96Ed0dHQQj8c55ZRTWL58Oeeeey69PT0sPvFE/vj44+zq7+eT/3wF37vze5z7nnP4wy2PMfU0GO8dZ9nJy3jq2bVs27eNy6+8jOe3rOeAdYB3XfIuvvSdH/6PL6ejGKx5TEoI8S/Au1E32YOvMonS7LxRh1lSPqsyZypLDyNCSaQ1UjYEYDJ7xnHKDE1J/bctlAHQqINb9AjpPpQnH8H0ONCfAMxMOWRGwy9hJwIWpCXsEfJUEGfAzuxGAYeACQkATZjJAE54KVCBl2pcYhWPNQdtY6Pa0YKWt7yl0VcwJyyXwwdtG5w3VrE+qIOZoErtT4xJViYYi11+tFBGBvVhj1I5X6OzsciBkTB9ngaextaCRm3BpGnQ46TTBEZEx7V87K158gM2xQI0zVW/5fCGLKJ+BLE4paygA2MAUI+RBITKrYNH0xAAJjU0h6rXB++sAP5JSvkYgBDi7PK65Yfa6Y06OnXzzbfwoaYP019sJmEISj706730W3PYnE4yL+XSkRqjyiwRMl160lHSdpTOhn4c10AIiWuFyOXjZF2diO6Tc3SkJqgLuwxaJhClIVwibnh05cNUhzyVPcOkZbMvXz7RDdabZc2LqQWvBaYmym1pSidjCIErFcjxyvqZ4HCWJ4nq2sQxQTFALgromEIwUBQ0RiW7MykMoVQeQoDlCxKmT1xIIrpkvKhT8gWNEQ/H18m5ZbmZFHgChB+cW2Jq6nxhTVlMgzIt0Mvt/K6URIWBIz0K0gUHTDQ0ITitQbA1LXF9gSOlyvPxNdYPtHBGtEA6n6A6kWXMirI3m6CqECdpOuweryVuOHStqWdOSw81c/fRfPwO7OFq4m2DSMegQ/PZumUuRSfET3Y3Y4tewiKB5Y3j+a/lqXroUi1nh7ZtPoYMzXUo49jZwEfFpEZQoNjh5KvtGNRfFaC56gsbaDqnkbqGGJ43Qskex/PymMZuVv/oVi6+9lp+dMcP+Lczz6J/oI9dXbs457JzcUdcert7eGHjC7QtO4tN+/fT4DgMDgxw3PHHs3//fjZtUmCyqakJy7Joq6rCyGbpAmzbprG1lft//Wvef+217N68mZqWFiLxOKeddBIvPP88ja2tjI+PU7RtwrEYg4OD+FISCoXQNY19W7Ywa9EixtJp+sbGOH7JEohElD6npQWrVKKrq4u6ujpmzprFs888QyaT4ZJLLqGrq4tf/vKXvO997yObzZJKpcgXCvT391MDnHbiiWjpNBs3buSCiy7CdV0aOjrYMzSELSUL3/xmTm1qohgK8ciTT/L4I4/wwb//e/RQiM3bt7O8ro6uXbuYPnUqkUSCgeFh4lKS9zxqNQ3XMOhcuBDXMDAti66xMfL5PNOnTycSiXDrrbdy6aWXctddd/Gxj32Myy67jBUrVlAoFDh5yRJqa2o484wz2LJ1Kw8++CC7du1i7dq1zJ49G9d1sSyLWCrFnIULeedXfkIxH2LmT/dz+tWnseaZJ/jMTZ/h/p+uZOGyBZx55Zn8fz+6g+aOZsjBjDf9z8EM/EUwNH8HzJBSHiW/2b++mnA2O7gCy+bKVqQge6ZUQlYk0sucA6MOcrhEsaAyYSrdwMZQk/Xjam3iYXVFBeCmWF5qyku+rCUJ2JEoasIfPuh4AWAIQMKh6mAgEuwfsD0BexLYS+dtnanJEpsyoQkwVZmXUxnyWRnO2YoCRge3ndVUvIdKwBMcb0mtza7RMD1A0lXBozVAVZ1OPOcRKSi9UT+TICrTbWFEdaxxl3ijSbEAJVejMKRApWtL4o0myeGSaks7PofoSCBa66C6RrEzZoW9cwWoOaJ2Myj37xzGNv/7FQ/ADICU8nEhxMsFYG/UUa+bb76FJdHrKLhKoJ51faKGxhSvlatndPFEbysHCiY7Rusp21HbAAAgAElEQVRpjBawSybVkSIFJ8TAeC11iQyDgw00SMH2YXXTccQ2qA55ZF2NOKALybBtMK96nFErSlgLoaH0KEO2gScVuJACnDIA0KUoy82UQxlMxmcFDI4nwfb9CTAT6FJUS5uGUQY2rpREy0xkyZt0HpNIhAAdBRjimjIoyDk6p0/ppb/YhifL4Zll+2ZPKiDjS0He1QjrEokaq1u2k9YnJ8lIOdlyFtYE+Op/tSclad8iJkJENA1TCoq+R2fCZMyWWL6kMWJR8iLszk3aQG9Jh5ifKjGWq2I4n2BtbxvTqzJYvmBmtMB4KcygFWJ/IUbJh9/11lB6ZiFL62ze9Zb7EYaHPVyNEJKcHSZqqptcff5ObC9DyU3zxS9+7sguqsOwbT5WJmdSyiPW9P9VmQIkQ1Xsje4lk86j6zrhiCQW16mt7eC4JSejhUw+97d/y0g4RKomxdat2/ivn/4Xq/7wOKNDoyw5YwmFQoEXnnuObdu2sWTpUvr7+xXzElJ35BYuWEA6nebq97yHy97xDj796U+TyWQQuk5jczM7u7vxDYMde/eyfdcuNm7fTsnzGM/n6R0dpQTkbJuqVArNMDANg0QsxtzFi7Fdl6qGBqZ1dlLyPPo2b2Z/Tw8FyyKTyZBIJJg5axbZbJbpnZ1M7+xk29atzJgxg4985CMYhqHybYC5c+cCcPLixfzs3nvJPfcc3Vu2MG3GDKKhEG1tbRzo7eW5F19kX28vq/bto29khHAyycV/8zfcfcf3ufPOO1mwYAGaptHV1YXUdfr6+mjr6CAai1HX0MCYbTOazWJ5Hp5hMCYE9957L9XV1QghCIfD+GXN0nvf+16+9KUvsXnTJnRd3UW49dZbmTV7Nvc/8ACmabJr1y4Arr/+epYvX86ePXt4+JFHeOCBB7j11lv58Ic/jFUqsTfWzJZ7tkIMvvy1L7N4/mKmRadx239+j6nHddDd2412FPzYj5YpwDGsTRxx490b9TKdDIAeRjoVDlhaSN3Zzx8kQ3B8RGjyrlneUlbMgRtYADpaUMzH3sEIewcVnKlBAZbKVq5Muf2sWH4dYRIQBJP5QsVxOWj/g7U0lUGclcAmGNtYxc8D8BEyJNVxl7PL4GusYt9KZmfsoJ8F1tEHb1uoOL6NEpYF7BPAgdEw8xuLzADiYY8oynGtv0eN5aTGIruZBGQDnsaarijd+wR7ByPkBx1MXRIPexNgJlJtYKddCkNl9mxDFgoOcnBMfYalHEIPq/wZzTxyVqaihC4QxqGX1wnR7BFCfF4IMa28fA5l+f5GvQ41K1KFJiBWFq2YGhyXSPAfGzoo+RozEiUGrTC7MikADN3D8zWKjrqJEgnbWMUI6VKIvqKuwIlUwCPvasQNn6Tpsz9XxYgdJqRLRko6A5aBVp7aGkIBFO2gy82rmPnK8uuSryb4IU0oGVgZQGhCUG3qxHRt4qqNG9okmPElBU8ikbhlBzVZbuUKQIjrQ2dVnpJncGLdGGbZHCDrCIqeOp/nC1xfGQgERgUAFV+vWJ46viMlJV8ZFDhSubJlPUe1n+FjSZdhr0jc0BkTebZkLXQNFtdKiq7iAmYkJAlTENUlTRGfcUdnde8UnhutJu3oPDVUS1vMYtVALSN2CEcKZlU5zK5ysTwYL3lsTodZ/+TJGIuTxKb2IzTJtMYBdo7X8uvCQ4wXN+H6RaojnRxp+VLg+dohl2No23zE9VcFaMINEXTdIZmSDAzsY8OGn5NJj/DEAz/gj888y813/ZAXXljP0qkdtHd28PGPf5wPffRD7LH2cu5559G3p5++nh7OO+ccTjvtNLLZLD09PXR2dlIqlfj0pz+NLyXXXnst3/z2t7nnxz/mq1/9KmvXrWPz5s1kCwWGxsd55rnnEJEITR0d1Le0MJ7LqX5v1wXTRGoajhBU1dTg6joPPPQQ0VCIRCKB5TiM5/PUNjURam/HjMXIZDLU19cTi8V48YUXaGhoIJvNMnv2bNra24lGoxPOZ6mU+uIbGRnh+uuvZ/XzzxNLpbjgzW/mKx//OKJYZNGSJUxpb2f2ggUkm5upa27m+Y0b8YCGKVMwUykGfIgn4e7bb2ckk+H45csplkpUNTQwND5OoVTCDYUo2jZGdTVC17GFIByNUldXR01NDd/97nd55NFHOe/cc4lGo6TTad7+9rezZOlSslnVvjNz5ky+853vYBgG27Zt46qrrgJgxYoVbNy4kb+95BIuuvBClp96Ku95z3u45RaVpPzQmjVs3jQK+6B7SQ1b2rtpqGmECNTX1xOpCfPJf/zkEV9TOVSw5qGWP3FA82/AeiHE74UQ9wXLsR7Un3UF+hnPRkTq1HNHTYDRw0pUHo+rzBN4iX6mMOSQt3Xaw95EK+MMFJhJhD1ChqStzp5gcALQEtJ9+sqvK7NnguyXwCAgEN5XApuggtauSvaksrUsqFdSiARsjc2k69mLfTFyts6Min0qwc8r1cHnai4/BmCsprxuT/m5hfrd9AFbBqOEdJ+xgsnUZInGVIl9mRD7MiEOjKgzzigfJ4pik/oKJjVxF8cTE1bYAKmOCOGkQbwpTHxeHNoiUGtCKqzCOOMJiNZCpB6ccqvhhOPZUQA2QQ7NoZbXh6F5L9CAEub+CqgH3vO6nPmNIm6oXBZdQEtUMRIfO3kDS+t8qgwP2xcT2ph943XYrsnsKQfQNZ+GhmE8X6Nx+gEKrk7WASEU89EQdpgWt6gLlzCFxPJ0OuI5Bi2dqC5piKj/WjUhRT/oAqJlUOCXAVEweZwU1ivAZZTBjKkpFsaRkoLnkXd9HF9OGPhJFKAAxfZUVkQXGJogbggiuiDrSNKOYNCKUCiFyJTCLEgVyvuWM2vKLE1I9/HLzI1EjcnUoDPhkwqp57EykNKFOrftS2zfJyR0stImhIFAEMag4PnMMWuIaQbzUj5zU1mGbIOeooYQyl7a8gRpR6Mx7GB7GlHdJ6L7NEdcnh6OMz1RIqb7LKxOTzBfTRHJgmqNWVUOhVKIHd+eidYZ5fbfn89/rj+eE5p6WSTOIBaehiZMRgsvHvH15EsxoaN5teVY2TYLIbJCiEz5MVvxuiCEcF/7CH9lgKb+1Hra2prZv38vTU1NCDGTqmSMPc+v50Of+Qxf+8IXmL90KflMjkfveIRSpMTXPv41brzl00hT4pZcaurqsCyLZ595Bs/zqKurw3XV73rdunVMmzaNe+65B4DmefP48uc/jxCClpYWSkNDPP3cc3TYNtFkEjOR4MUdO1i4eDE9AwPYnofQdUYyGYbGxxnL5fA0jUXLlzNcLJKxbZ599lnMUIhnN24kkUhghEKsXr2adDpNT08PJ5x4ItlslubmZnzfp2vvXv64ejWZTIatW7aQTqe56667GB4aQghBSQimnnUWa7q7eXDHDqrb2ug+cIBQPM7+3l5KlsXeffvI5/M0TJnCY2vWgK5zdtma+vLLL+c7t92GJyW2puH7PkLXGRwfxwiHiSYSeL6PHo0ynsvxwAMPcPXVV/PQ73/PJZdcwmc/+1k2bd5MTU0Nu3ftoqWlhdraWi655JKJ3+3VV19NqaQmC7/85S+58cYbAXjuuefwQiEeffBBmhoa+OGdd3LlxRczf/58TqF813kefHDBKaz7wR/YP9rNm698E2ufXYdl26xes/qIr6nDYWgO6y/x2NUPga8CXwH+b8XyRh1uHdxudrDblR6GUjlzJjMymUJvmspBC5D9Fow69O50JgI1gxplEpgMZELkLZ2k7pPUfWooa0Y8jVlhjxoms2cqK3AWg8nWtNhB242hJvxBNfPS3JoZ5XUHMzgwydoE+zxt6zwHPMukxix80PaVj5V1sDlBcMxg+0otULBtDTC/sUhjyiER9qiOu5RcbSKnJjAKCBzVkrrPyTGHpO5THXeJxiBk+MTDHsUC5AfUyGINpgIyEQ2xvB7RWKPaBpN1iOpZ6uRa6OgYAVRWIF441PK/OO8QQkSEEA1SyjEp5UellIullItRN0CKr7X/G3XkdXr0vZgaJEz1cfcU1EQ9V4jx5lnbObW1m3159V2zpHGQYSvCaDFGJpcgbLjYVhhd8ymMJdmRNcs2zJOZLZ4UxA2XpU39RHUPH8G8pIUupFo0tX1jxCOqS0xNEtEntTSGpowBgtcBYxOuAD4CMIVqF/Ok8hbzJYT0ybY1T0KVqWFqqrUuyLmZsF0u72t58OJYmPsP1LN2OMFTwzGKZVtpy1MMDoDjq6wa23spSxM3fGxPtZ0ZmmKIKlkmR/oKAGEQQsfGISR0TCGoCStNUETzyTsme3MqM2d3VmNGwiKiS0o+7MqGCek+KdMjbnjURyw0Ac2RIslQiWErykm146QdnWTIV2PyBe31QzRP7UFWpTiudoyZVTabB1vYqW1BoBM3G47KNSWlUKDmEMuxKilllZQyWX6sAqagnFz7Ubk0r1l/VYDG3+lRV9tEY+MUdu7YyC9/8ROQTbz105/C9Dx+vOaPVLseRd9lel0nP/vSz/jYRz7Kii+t4MCzB4gVUyRMk89973ssXbaMbDZLLBajWCxy+eWX4zoO27ZuRdd1Zs2ahRkO87tVq1gwbx5z587luFNPZRYgli7FTyT4xYMPUtvWxphlEU6liNfUYMTj6KaJ43lKcO55xBIJdnZ1UUinOe2MM9jf08PU1lYiVVU0NDRw/vnnk0ql2LtnD2ufeoquri727N6tQE5vL+0dHbS2ttLW3s6mjRu58MILEZrG92+/HSkld9xxB7/4zW/o7e1l86ZNbNiwgWw+z2A6jeU41DY3s/CEE9i+cydnnXsuxbKguS8DtXPn8k+f/Sy9w8Pg+xiRCCXPY2R4mHQ2i6dpuLrOwPg4d95xBzuffhrDMAiFw+zYsYOHH36YK664gm9+85tU19Tw9a9/na9+9avMmTOH+fPm0VBfz9133w3ABRdcwGWXXsqqxx/n3DKguu/ee1lwwgk019fzqY9+lP7RUfrLhgyRZph/wjxCIkTj3EZ29ezikRcf5e+u+Ttu/MKNJKoTr3KlHH4dTrDmnziDO1wO2XwsCLA63BCrN6pcr3RH3rNVBg2oyW60FozQZGBjOVRTlmzVPB4rMwNJ5VA2bOsTbVaBRmV/OVgzb+sT4ZWJsEc87NFWa2PqPk3J0gS7EwCJylya2vLz4DW8lDUJ8lsqW74CADHKpN7lYDDEQfsF0/sYik0J1te8yn7wUtBS+TpwPAsc2XqYbJcL2JZzzpTkLZ1do2HiYY/tfTHG88aEDsmqeC9Bjk/e1mlMOUSqVftIVZ1OpNqgfnqYZEcEPSwQMR3KrmfqVm8FWHWy6nM2j/x75GWlvwY7cxg5NGVQ8rQQ4kUhxGYhxM3l9bVCiIeFEDvLj6/0kXwbOOMV1p8PfOOI3tsbdVi1pvgDQppy7TKEmvRPi7skYgV0zSdkuiyqKZB3NbJ2mLihbp3l7QhhwyGWKFDbOMzPnjyNiK5A0YgtyDgaIyV1zQ9aEbrSNbTGc5Q8nbGSgalJMo5OSJM0RVwcKYiUM18ECrAEls6gxPl+RUtaAFgUO6Lho9zMsp5D0fOQQMbxsTyfuKG9xNAvsHV2fCh5Es9X54sbGp0Jn4iu/gydMnjRyy10MV1i+WKCpYnoCuhkHCiW3dl259SAA2e2fBkBeVJiCEFMNzCFYpeimk67mWBZnU51SCPjSAqey968SXchwoKUeh+zkx5Zx2DEVm5tIR1MISl4GnlXp+gaNEZ89hdi1IQtGqMFXhhLld+joL+oM2LrpKrTJE/cR+n0j1AVtii6Ond0CTr9OejCwPVfy3ro8Mr3X5uhOdYTFiFEtRDiJuBFVP7VEinlJw5n378aQPPeb3Sxcdcm/vVfb+TfPv19GpJn8IlP/IhCscjJkSiJngO8c9kpHBgepjCW5ol9T3DO0nN4Pv08H/ynf2Bfrosx32cwm+UfP/IR8vk8ra2tuK7LwMAAyWSSQrHI8tNO433vex87d+5k27ZtrF69mpOWLCEUCnHOhReyHVj39NP88le/IgKsXLUK1zDYceAAo/k8tpRohkGqvp5QJEIoGmXHvn1kcjmynsfIyAixWIxsPk//0BCu67Jnzx6efPJJZs2ezSmnnkp1dTWe7+N5HieddBKJRIKvfvWr7N27l2fXrOG5VavYtGkTy045hSTwzc98htNPP53WKVN4fNUqtmzaxFNPPcW01lY2bNrElp07yVsWHdOnky+VlNhPSizAN03ypRKJ6mruf+QRfF0nXSgwZ9EiHMCSks07drDim9+kZWyMj1x3HStWrOCJJ55g8eLFzJs3j7vvvptPfepTLFq0iPe///0YhkE6nWbe/Pk8v34911xzDaZp8vDDD9MyZQpz5s7lxMWLmTt3Ll/63Oc4/oQTIBxGM03ctWtJjo/TOWUKXAGrB7by6/t/Q/jsxXRt28ffX/t+XnhyPV+56SuccekjR3xd/QVoaJ4TQvybEOJUIcTiYDnWg/pzKRX7Uy7fmVxg0hSg0higrllNits6oKZOtZ0FtxYtn+FRXWXJlA9ZGSrZhwIHT9v6xC3ynK1PMDo1CRfTkDSmShMtZgeDF1CT+1EmwVKlWQBMsjIB0KlsVasEMwHgml9easvrWlBsTucrHLdSc3NwHex09krPg7a2YN1pjUWWzSthRDTG8saEw1nwuwnOFQSCBk5sEZgII82OeCQ7IsQaTJLtYVzLw4hohJMGzIyB5SMSFUCmrlkZAsBkcCooYKuHjtwQAAJv2yNtObOBc6WUi4ATgDcJIU4BbgQelVLOAh4tvz64TpdSviz/QUr5E+DMI3hnb9Rh1M03q9bpwBK5PixJmlDwNKKxIpGIRSRssbi5h7jh05WrYrwUIuuY7ByvZTifIJepYny4llNbu8m7SttSdCUjtqArpzNaMokbLpan052rwvY1ooZqlQKUpbPhMmLrZByNki8I65KwrsBMYLEsJS/RrATgJG6ICXtmH4hoBppQ6+KGckILWs6KrkQgkHKSgPSBE2s9FtVYVIegO6+xrD5LRFdsDTChhRl3BK6vxqEAkmJ4goBQBZDUXD2Y9EZ0MQGgip6HBoQ0jbhusqBaZ1m9pxzfhPrddcbDZB2V+1UdcqkOSXKuxv6CyawqF1NI4oZP2tHpKxoUXY3HByI0hB1qQw4PHGjAl4LdWUFfUWB5gvfM38FFbf2EEwWK136WbRc/zFhRWUFf0BimV+8hY20nY20/ckMAwJeH1s94x7blrF4I8W/A86jGlhOllJ+TUo4c7jH+alzOfvTx27ngX9/CO8/9P7TPbcMybexSjtym/2R9Msmpc+cx2tvL2cUIj9zzMG868yJCQ2FCwyF6XuhhTnouP3v095x01lnkfJ+GhgZ2795Ne3v7hFPX8PAwCxYsmGAULMsimUzyxBNPcMEFF7Bl8+aJ8XzshhvQd+/m0Z4edvf20tLQwOY9exhLp0nF40ybOpW8ZTFeLNI+bRqO55HL56mvqaFkGHTv2kXL9OlIKZk5cyaO4zA0NMR3vvMdTlm2jD1799La2ko4HKZQKDB37lyWLVvGCy+8wPqdO7n8ssuorqmhs62Np7u6OOmkk/jWt77FZZdeyvHHHcfA0BBde/fy1ne8gx/dcQd2Tw/jL7zAqW97GzHTZN6iRaRzOSzT5Nvf+hYXX3wx519+OdlSiaraWoq+T6Sqis/fdBN1zc0srqpiey6H09rK29/+dkZHR8nlcjz22GNcc8013HPPPZx55pmUSiWKxSKPPvooXV1dNDc389///d/MnDkTy7L41a9+xfDwMKCMAb58yy3kgDPPPJMnV6/mX//hH2jL5/nJwI8oXrqUa6JVPHLno7S3t3P+P72bQk+R7ft2UN1cza4NlzHz+LuP6LrKH9HefxJ1YvnxlIp1b9g2H255pZfnzsCkrqKy3JIKYwysm+MJJTAHiGhYewqYhiRkSAYOQsGV9syBEUCyHLI5VjAZKyiNTVB9TFoZB1bKlRW4jlVm0FTaMgei/4Mtng8eT3COYLuFTGp49vDSOtgSOqjAqeyVxldpXFDpbtYKnDStSDilhPujOwpMb5QYYcHO/eGJ47WUxxcwM8Hvbn5jkbGcQTzskeqIYKddjIiOEYHUnDjuuIOoD4Hlw5QwGBqiOq4+NyMEoTjSs1U7YTlENWDqpHz2yEFNwNAcqsShfy6llKh7LgBmeZHAW4Czy+t/CDwOfPrgox/i0H81N0KPVd3Q/GGmJ0qUPJe8q5F3VabKe5Y+je9rOGXR/+zFm8gUY2wcaaAtnmPMjjBih1jW3kWydgy7GOH7zy9CwIT4veBCQ0R9vHtzUUKapD1mMWIrh7OI7tMes4nqHtsysQn2ZUaiSG8xTMHVESiw4JeNAHy/3BpWHr8KtRR4GhQ9iVe+7W+WM2kKriSiqzaukq+0NBHA8iVJXSNiwojts3HcAAzihhr7U0NVZB2lvzGEoFRmE2wPfE2xHiApeoK2mE9/UcPxyzk0EqIa5Mvj1cvuawGosXyfKkPn4haHmpDNkB1h2DJpjkhaa20MzeeRvihZV7A7G6bgCYoutMYUOyQEFF2NoieoMtS61hjszIYZK0HcgB2ZJHVhwVhJMlYS9IzXMqulh+rj9pL95I9Z+LUUs3+6iY0/fwvzUlnOzM7hbtSN15tvvuWIQU1gCnCoOlY5NMA+YAi4E/X1/74K62aklP/xWgf4iwc0P//nNeRtn+3G8Qy0jzNsjdAZ68TTfexCjrseGyWVmk5oSpo5q9dyx8rduJpL4/4NPLV7LR/64IcI50I82bWRq669lgd7eylms6xfv35CuL5q1Squu+46hBAMDAwA8PnPf57t27czffp0Vq9axYYXX2TNE09QV1dHXSLBfStXMnPmTFzXpau/n9rmZihn0MRSKcbzecxIBN+2cYXAFYKm1lZ27d9PPJkkFY+zZf16WmbNIpvJ0NbeTmtrKx/72MfIZDLEYjG69+2jrb0dy7I44YQTWPPHPwLg+z5z5s4lHA5z99138853vnPCPaymtpae/ftpaW8nFouRSCS48NJLWVhfzzNr1lDb1ERfVxe269LW0UE2nWbJWWdRU1NDyDAYLRTQQyE0IcgXCnzixhsJRSKM7d/P1TU1rFi5kjPOOIP6+nps2+Yd73gHXV1dXHTRRdi2zdNPP81xxx2Hbdt8/OMf5xvf+AY33XQT3/nOdxgZGSESiXDFFVeQz+dZsWIFb1q2DFFbi+d5uMDD3/sep39oCVdfcBW3VGfpb2+HRuhwHO780l3QCFe+6wqefPgpnt94NLIja4DXEgEf9g2G172klOcc6zH8OdYEM/NKds2gnK/0MDhZZCmjAE+iSU18Q2HF0oyNqP+0AE+nyXRbgIap+4D+EpcvgKVhj2FbnwAMSZhwQ+sDyooO9ts6LRX7VYKFQIsTAJxKPUyli1hgEBBUoeKx0iigwCQzUwCm6j49ZcOCIBQzOPbB74eDtqmssYqfBeMJKgZMTZZIZzTqohIjqhNrMMl0W7i2AoRN+IQMyf6yyH+q7tNSHldS94nGIG8pJzPX8og3hVQeTdrD6IxhtEVUq1lMR4R0RGs1NDapzy7erBzOquonB6WH1bVwtJzOgtvUr1FCiOuB6ytWrZBSrqj4uQ48B8wEviulXCeEaJJS9gFIKfuEEI2vcOhBIcRSKeXTB51vCWrS8Ub9L1TAzPxjy4fJuzqOL3Ckmiy7Pnx/7TJGS4J3z93NglOfx7NNNM1nUcMAu8drybsG0xN5HMckn67i0W0L6C2qyXRIgwKCoifpLcCIrVMfFpzdPsBQIU7RCxPSJEndQxeS9mSakq+Rdw3ihktPMYzjC+KGJOcqRiSY+waXajAZ9lGgJqILqqRB3vPwpZwAEKamMm6Ui5nKfMl5kpiuWtAcH5JlXU1Eh7qQj53XGLOVyUB9WHmwOb5yLVMAS1D0IGGoVrPxkkZYZ0JLE+TlRHXIuQrYBeOP6joFz8OTsD0TYW4SFtYO8/xQI3HDQxOS7nyEuKG0PyEDGsI+oZjE8ZVGaFq8xLMjYXxgvKRa0OrCSnsU1QWWB2FN0lf0qTI00iXJ1PpBZl2/GX+XRteOTmq+Ms6O7uWc39HNw90dbLRGmR2/jB353x6V60sehm3zMax/Z/IjqfqfHOAvHtCYhkk8HKNv7xCjZ2e4b+VvmL10FoYJqVQdN938a37xi38gHJqLW3J5/4XvY7g0zJ7n9kA35IayrF+zk+MXLaenr4/W1lYsy2J4aIhzzz2XeDxOQ0MDQ0ND+L7PlClTmDlzJo88/DBPrV3LzJkz2bVrFwsWLOC0006jra2NHdu2cfaJJ/KNu+7ine98J9u2bmXz1q1kxsdpbGlRwZOGgeM4eJqmQp40jdFCASORYHBsjNa2Nto7O8kUi5RKJbLZLPu7u9m+YwfLly9n7rx5SjTveRiGQX9fH6NjY6TTaWbOnMm6detIxONceeWVrFu3jt/97ndcecUV7Nq6lQsvuYStW7dSXV1Nd3c3GzdtQi5cyK58npadO/Esizpgans7v3/0URafcAJFIdh84AA1NTW4vo8pBD/57//mLddcw2duuol5dXWccdVVXHTRRViWhWmabNq4kZYpU/A8j/vuu4+hoSFisRhjY2OkUiluv/12AO655x5GRhQoOPGEE2hpaeFHt90GwO/WrcM0TW644QZWPfQQG4DQzmd4Wn+G8865nlxtDVjgrMtAB1z/3uvxNZ85c2ZTXVsNbH7F6+bwK8Ery6Qr67WSal7/EkK8A7hHSvmKuZ9CiBlAi5Ryzes7sj/DOpidgfIEt2L67tngOWp9dY260z8+NuFwJgse6YwCN2MFc4L1qGQlnrb1iTYxUPbMAUBpQbVY1cQc2stIpOQK9nnaS1rOKq2cI6jWs6AqmZmAzQjYk+CcreXHSq1McIwx4ElPI8akAUGlliZ4rARYrwRmKn8WvN+D82vuz4Q4O+yRKsPtfnsAACAASURBVCpAuX+TZNdolJ7yuDqBiAdNutIkhQxJxoOWmHKR6x00aEw5WONghAWpE5Pqn2Ggl6k1lZV2ddm0oWQrA4d8DorldxywM0fbEAAOk6GBMnhZ8WqbSCk94AQhRDVwrxBi4WGO4JPAz4QQd6EAEcDJwDuBaw7zGG/U/7B0Icm7GqaQEy5iIQ2GbEFzxGfBac+R661noLeZObN2kR6pwfV1xotRZjX1kSnE8UZr2ZWNUvQklicp+T4+SjMS0TQShgqefGaogY54gbaYRc4xkVJQHbboz1WhC0kqVCKie0QdA8/X0QTEDaVvSTtiwgY6ENj7ctIYQAhIGAKr7MZmS5+S76MJDc1X13egh3F8H08TOFKZA4R11eqV96HgauRcScIQ1JtlcKDDuOMR1tS2lqeYm6guaI15ZXMADaMi+NPxmTAGMDWJ9FXesS8lVYZOlaHyaxqjBRxfJ254WL6GLpSTmS6gOeqxN6sjhGB6wmNK1GZPLkLODdEUlQxaYuJcpoBU2OXjZ6/lvmeXsC0TIWnCWMknpAmGMtWQyeFedjYv3tFK1XAjs5t7+cXWefx6ZJiwDOOLoxfN7UuB95pxL8cG8EgpbzrSY/zFU8c5q8Tw6Bgd0zs5/vjj+dTnP41pmtiWha47OM4dvGdeipbBQRa8/x3kpuX5xe2/5MQ5i/nAR65naNcQU6dOY2c2y6rHHyefz9Pb28vMWbPYsnkztm0Tj8fp7elhxowZfP3rX+eiiy7iqbVrATjllFPQNI2mxkb27t2LYRictGQJ9z/0ENdddx2jIyPMnjOHcDjMCYsXY7kuA9ksBcchm88TisfJl0r4moYRjZKzbWoaGxkaH2ff0BAFx6Gjo4Nt27bx+4ceQkpJX28vTz35JJ2dncTjce6++276BwYolUrYtk1tbS2trWpqYpom9fX1nHTSSUybPp09+/dz00030SwlmzZu5Ne//jVdXV2sXLmSU846CyOZpNjfT6y6mkw+z5T2dmrb2tBiMWSpRCgeZ/WTT1LwPGo6OjBjMaLApW9/Oy0tLVRVVZHNZunq6uKBBx/kwQcfZM2aNRSLRWbPns3ZZ53F1VdfzYEDBygUCnR2dqJpGpqm8e53v5vmlhZuu+02NODaa67hAx/4AFHH4bv/8R+cNwVOTqBgehJ+uWIFfRs2QAlK2RLkYNuOrTz28z+w6rHVnHTu0XAnDjE5PXy15U/yz6wOZdf8AyHEh4UQfyeEeKcQ4ktCiFXA14CBYzzGP99yshOicZVVkphsTwOVMh9PqMZuUOJzwCnrPwImBCati8NMAoAApCTL/e6JCptnUGCmVA6XBMXMBEuwXRCCGbiiBSxMc8U5Kw0DairOWyngt3kpSAlE+JXrwqh2tIMrOO4rVaXV8xhMsE4BYzO1RbE0m7uiPDMaZhMKcIVRbW99qH73RNijMVWiPuxN2DLHIz49o2Hytk46ozG6rpzAHdMRzRFEdVgJBVIhxLRmRFOLAjN1zYqFiQaQraLK7MxR0dAcZdtmKeU4qrXsTcCAEKJFjVW0AIOvsP3TwFLUWd5dXgSwTEq57kje2hv12hXRldNYwSszIWWNyr9c+ig3vuun6BGb2uN2s+ADz9K7v5W+kXqiZonGRJaiHSFjRYmEbQU63BKelIz5FgXfVQGVnstwySNdkvQVdV4cTeCWJ+5Js0TcLGH7GgVPJ6J7lDydYdugJuySND0imkIvEsXGwKR2xtTUWJ2ypiWkQ5WhEdE1NARCCGxflgX8QSuaKDMuEttTzI3jK4c3XVMam0BXE+hnRixJytTwJTRGxMQ+GQeyjoYsmxkE2p7K1jNlda0c1nQhsH0fgSDnSs5oGqbk6WwerSOie2QdnUHLxJOCmAFDlk5NWLFeeVdjfyGM68P+PIyVFPOUNCXVIRiwBFWGxxObjmNRUx/vO34zl7ePUBPSuPuf76SjcQDqahGlIruyMZ4aqua/tsynPuIQkRFMdHbl7wd4HTU0f771JznTOlr1qQtv5en1m4nFqyi5JTzNwy5Z2I5Nospk/fq78OwSfyhUU9vYwKZdu/jxh3/M+z/0fu746R3s/uNu5qXmIbJx9rsuM976Vqqqqpg+fTpr167l+EWLcBwH3/c55dRTKZVKvOUtb2F0dJQbbriBU085hfvvv58FCxZQLBbp7e1l+vTpCCHYPzZGNBqle/9+Zs6cSXt7O67rMqW9HTMcZjCdxjNNRsbGMGMxbN9naGQEMxwmnc3ys9/8hu69e8lmsyRMk/HhYS6/5BJqampIJpO4nofjOPzwhz9k2bJlzOjsxLZtbrjhBgxdJ5FIULQsisUig4ODmKbJyMgIM2fM4PpLLmH7hg28+eSTOeuss4gIQTKZpOfAAUYzGbZlsxzo76cxFqNt+nR6e3sxQiGijY109fRw5vnnky4UOO/887nlllv4/Cc+wWg+j5SSkZERfvrTn5IeHyeVSjE6Okp/fz+RiJoqFYtF7rzzzonP8NJLL2Xbtm0sXLiQu+66i3vvvVetv/BCzkgm+f3tt3Pbe99LAmARaiZWBIahpAnmPdZLVwu8MPYiaLArDO+6cQ9f+u7RusoSqFzKQy36q+59rEpK+S1gMfBfqJyJ88qve4DrpJRXSSl3HsMh/snWS4wAXqkC0GJWsOa+A6E4ROsmtynZEDeh5DP4dBrHVVkoId1/CaMRtF29kktYyJA0JUtUx90JcDNs6+zzNPp4uSFAADIqWZW+inPVlM93sHi/tmK/Sn1KUJVuaIH2ppJNCkIwTyhbTVfud7BN88HHDMBVH5NgawZgRJWrWfBp/E2tzVjFWCNAW61Na636PEzdpzHlEA97OK6gMTXZLugWPfJb81jPphUrEzcRrdWKlYknVItgPDFhBiAidS9lZ8pmAEcFzIC6tf1ats2veQjRUGZmEEJEUQ5l24D7gHeVN3sX8JtX2l9KOSil/GL5u+AqKeUXpJQvAz9v1NGpoN0sqJKvLJbtctuZISRGyOGzd7wNzwqDJln5r5cQixaZ1trDU72tPDvQwiPdU9k8VsMPNs5nf/mPK+05RDBxcBVwwGfUK5JxXYYs1UIGMD2ZJhW2iIdtWmI5pldl2J5OkHcN6kLeRBucrknscquV0stMCvIDYX8QfFnymNDL1IUMErpGRNOQSBxfYvk+moBqU5kGFD2PkCYIaZBzFPAwygYCgZ4nuPw9H06slbREHZqjSuTvSdXy5aMcx2K6LLe/VbBBUgEkx1crYrpinurC6sDd+Ti6kGxOx+hMFAhpktaoQ1SXxAxl0TxeArMM7BwpCGuKOXJ8GLQE2TJxn3EMGmI54pEiNTXjTK0d5s2t48g3n0BTZzf+9lH08SH++e2/4NKpPTwykuH3vTqOcHmq+EO++MXPHRUwA4CcbDt7teXPGdH8RQOaxintLF9+Gi9s2MzWHVtxKGG7No5XoFgsMmvmm0jt3cPF8XHmrB/irAfDXP+3f09oxOSMOaezcNlx/Met32CbaeJFo+i6zt69e+np6eH4448HIBQKcdttt5HL5QiHw2zZsoWhwUF+8pOfsHTZMv4fe+cdZ0ddr//3d+bMqdv7ZjfJpveEkApIKCGhBukiIlxAUUBEbFdBMSh41StYEEQ6CAgiClyEhBJ6iKkQNp20TTbby+llyvf3x3fm7EkoydXw04t8eM3rzJm+nMk532eez/M8fX191NXVMWnyZCZPnsyaNWvIZDIMHjyYZDLJ2rVr6erqIhqNsn79enp7e/PanN7+/jxTY9s2e1pbKS9Xw4HjjjuOxmHDeH3pUiwhOOXEExk7YQLHH388Y8aO5ZhjjiEQCHDWWWcRCYcxDIPq6mqef/55SkpKWLVqFTU1NTz66KOsXbuWaDRKRUUFUw45hBeWLGHMmDEs/PWvWbp0KVJKimMxLpwzh4rqamLJJBV1dfxl+XLCpaWUVFeTsCxEMEjFoEGkpMRyHHK5HNdeey2bursZNGgQbW1t3HLLLXzrW99i0uTJRKNRzjnnHAKBAGeccQa5XI6XXn45//lNmDCBUEg11Rx77LH4gFnTpnF4cTF9msZld9xB5cSJvNrfz6WnTObiGRcz8ZgJUAonnXEiox1J2Wnj+M1V32TWxJlccMEFTGg52O0hEaB0P9O/HqAB1Y4ipXxeSrlQSvklKeXXpJS/k1K2/LOv7f90ee1mZhxpZ5FmYqDlrODJvuzrBUND5pTLVs4SJFxLZq/Na18hfh/Q7L4v0Z33ZNZ4DMSogM2ogJ1vHQvCXvOeWxjsbYXstXR56zzwsnWf9d4yr/b9V9XuTikG2tT8usp5qUe1hO1r07zvsTz2pgIFnuoLrqcP2LptQE80KmCTzGiMD5t7MVW7XRamuFJn2CiVNeNV7dggNYM1hk0P4gvpRIYG8QU15NJu9bm0uq2inolD0HU2C7qQ7KNoNfNKEwMjxQ+a9mMKgPpf9pIQYi2wAnheSvk0KnNqnhBiCzDPff9J/QtVxhbupMaXuoCMI9D9Jj/73u3ogRyvPLKA7fFilu8YQTxeRMRnU+7PYUvozvoGnMBwyGKSwQU10iYsfBj4EEDGdujOOmyOBclYPgzdoSNewuCqLgaV9jEkksHQHPpNnf6cRszUKPY5DA5becczqwAogAIaGVu5kfk0z1pZsRe6Rh54mFIi3XnFsDiUGDoSta8pVWsbKOtnTwfjZRFbEnxCUhvMEsuBX1NtYYMjNjVBk7il4SDyehsP0AgEtlTanZRjk3McOnJZ1iRibI+XENQdkpbG6JI0GVuBnZip05MVypZaU3932lKgsyFkMbzYxnRUVk/cdJhRmaapyGbu0O282DqI/9kyhv9ZM40NnfXMmbqazF2tRI7Loo0oQb7RwqJnjyOeDXJYaSkbacH+CBLs7H9hl7ODUR9rDU1paSl90RjtFdOJXAa2tKmsrSKd6yEW7aei6wbqhw3jP2/+BbNmLMBOO4wZN5offuVHfP9H36e/pZ9zF3yGx5YvZ+zcuSQSCerr64lEIqRSKUzTRNd1vvjFL1JUVMT27dtpGjqUadOnM+WQQ7jpJpVP2N3djU/XmTVrFtu2bSMYDDJh/Hgeeughrr76ajZv3syzzz7L/HnziEWjVFVXk0gk8Pv9hMNhgsEg/f39jBo9mlQqRWlpKRs2bKCjo4OGhgZ279nD048/zvTx49m0aRNbOzv54mWX8dxzzzF//nwkUFFZyarVq5k/fz7hcJj777+fzs5O5s+fz5bNm9m2fTttbW2MGDGC0UcdRath8KUrrqCsrIyyXI49lkVcStLpNI1Dh1JSXk5pTQ19pklndzf1DQ3YPh9SSnK5HEVFRei6Tl9fH42Njdi2zZ133skXvvAFbrjhBhYuXMjXvvY1fvnLX1JeXs6SJUuoqqritNNO45e//CUAdXV1/PSnP+Xcc8/liSeewAEmFRUx6EtfojeTYejQoQweOZJwRQV33LWWWbG1CqKPgllzZlHbWMsjv3qUu4Y4jNyZ5fRzT6Np/LCDfJd5DM2H1b8moPmk/sGyc2Am3rs8o1z49tLR2CboBuQSiqXJJdSva8qCjEOsJYPfp1NbkmNjzE89ig2pYECrUuEua3dfQ7YKjozF/JToTj48spAB8ZiYEAOOX+/neFboolbImBSK9r31hQGc2X3WeSxSIfDx5jfYGqQGwFoD73VC865nhHvNnuYnw4Crmpc9k7NEngHKWYLurHJ+KmSl/LpDZ9QATEpLbIordaqG6UTGRWBiEYGXe4ntylAxqxTZncPKOCTf7Kd0ZBj2ZMFyEKP8ygwAIFSB8Jfszb59FKVxQCzMh5WUci0DLoaFy3tQjOwn9S9Y1zReTmtKhT96lsM+AQsXPEdkbCtO3I/QHYSQDCuO05IoYs3uoaRtnZjpI2NrmI4a/G/PxQjiR0Ng4WDiYGKRlRbFIkBG2hholPk1+k1ImH4yto/aSAIpBVnLYERZL29112A6MLokze6k+heWdQ0CUpagyHDdzqQYCM8UgrgpCegCv6tx8Wsin2GjCwFoZGzpAhUJmkbaVoxKSBdqe1x7aBQzoguhwJLjENQ0diR9bI4V4QBhn6Ah5LAxqjG8SMtrZwA3F8c9D0o34xOClGNRpPuIyRRlMowtBf05H5qQbE+EcCS0pgSjS2wqApKtcYlfgxJD5d34dYeMI6gL5tidClEdkLSnJbtSAa446lVufP5oujOScWWS9rQfSwrueWUO33h8FbK3E2dVF1okx7xjXuWFl49kdTRFSIRxcN7n7vjH6sA0NP/cEkIEgDOBJgowipTyh/vb9+MNaMqriKWyjBk3hkXbF2EbNkOKhxIpKiMU8nPjHc9x2aWf43P/cSFN2VLKMqW8vuh1vvfza/npzT/l1CMXYBoRpp9wAj2JBMXFxUSjUZ544gmOPvpoysvL6evrw+/3YxgGUkomT5nCuuZmdra0sHDhQtLpND09Pdx1111MnDiR5uZmlixZAsDRRx/No48+yp49ezhs9mxisRjDhg+nt7eX5uZmKisrGTNmDDU1NTiOQzKZJBwO8+6772L4fJx++um88vLLWJaFZtusfv11jjz5ZOYOGYLjOJx55pn09fUxbtw4tm3bxpw5c9i9ezfhcJiysjJGjhjBn/70JwKBABdccAHhcJh169bR2NjImjVraGxs5PHHH2f27Nkke3vZZRi8uGQJ8+bORYtEMKWkq7+fYFERmVyO3du2MWTIEFpaWhg9ejQAr732GvPmzaO/v59LL72UO+5Q+tVf/OIXRKNRjp8/n0AgQENjI4888ggrV67k/PPPp7q6ml/84hfU19eTy2Yxd+zAAe565RXm2DaNjsNJJ53E2mXLeOGJJ/jp97/PX//6I/XBB+FL/7WQQ5J1nHPeOYxuXsPMk2ahxzVuv/t3B/ku8zQ0H1b/2l8gn9RBrvd7cq8be7+C+nUN+6DXJJ2CSNAmZ2kMdt3MQLVZ1buvbahBfR0KOHhK7XKg3NXLlOgO5REvYE/Pt195gCXNANNReJV17O1wRsF+R7jzmYL9QuzN8hSyPd58od2yd37vHPvqbrx6v+BNb79WBkDZlPoU2zuD+evpcFvs6t1rG1yQRwMqsDSdgqpaH9mYRbg7h2hOIGaX4evqovPlXgKlPkqnlhDozikwE9TU4+VcDnK9Sj+T7oVg5d4XWGDZfNDKazn70G0O7ik/qX+NyjrqtvMCIA1NgYWSkbtx4n6cjB8tYCKlIJHzUxnIMrikn0iimEV7yqkOKi1J0n3AL5FoaITwERA6IZeZAQhrPqJ2Di3jp9jQeLWziHElJgnTIGv5iOcClPgz1AXTVAey1BXFqfCH6MyESNkaAnV9thzQqJgF4/CgLvIAwpsXqByaYp/KxNFQjE6xT8sP4f1uvqO3b8Ymr3fx/iZDeDkyYq+h/560RmUAOtwnN56GxslfoyBlKbe0jGMRFj7F6milBHWNMiNF3NTzeTw9WZ26kKQzoxP2SRrCGknLzeKRkDU1FeapGUwozdGT9fHpwRmWd0f4jz8fQUh3GFMieKtXUB3USFp+vn/W0+jtWdA07NM/hb5xNWyV9GSD9IsYSS3B2aUjWPdB/bh/Z3kamg+rf6Jts1dPAlHUT9y+BP6H1sd2pHXn15eSzFi8Ga2iu6+bww6bzbgx49mzZw8PP/ww7e27+K/LLuDIigquMyrZtGkj7d3tjBw9kocf/ANzjz6WoU1NRDWNnJSUlpbS399PMpkkEokQCoWIRqOEw2Gy2SzZbJaioiK6u7upHzSIBQsWAPD888+zbetWjjvuOObPnw/A6NGjOfPMM/H7/dTX1zNp0iTeXLaMpW++yW9/+1tWrlzJunXr8o5qlmURj8dpb2sjGo0yePDgPAMybPhwli9fzglnncVnv/lNRk6dSiQSYcf27WzZsoWioqJ825umafh05c5x/PHHs3rNGr797W9z5plnEggEaG1tRQCtra0cfvjhAEyfPp1MJkNPPE5bezuf/vSn2bZjB/F4nMqqKkpKSshm1T03aNAgTNOksbERACkl06ZNI51Os3jx4jyYmTp1KtGoEuH6DINBDQ08++yzFBerp55lZWX89re/5dprr6WtrY2ZkyeTAs6dPJkGXSfU3k5HPE7L+vVMmjCB2TNmcN2PfkQJJcyqn8mycvhr4zlcHWnnxTdf5O2ta3lz+VJimTinfPpkUhv2jVz4R+r/pobmk/r7ar92zZAP05S52HvXFYAdUTTwlL+4cuAeSWR1ggwI3L0KMNA6VsioeFUVsKkpVS5eHTE/OUtQjhrc1+OCHQZYmsJfikIns32tmVei2staGciYKdTYFF5joZGBZ+X8YU5mgYLJOzcoZim9z7Zhd3k50NobIGZr+fY4z2baY5+2uK17yt1MY0+nj2RGJ9qSQfcLZcIQ1ODdFJEjyqg5uoJs1CK5IYmdc5SWJuMg29PIXBYiEaWf8Uc+kJ3Zr7bqf1PaAUwfYQkhnvqw6aM9+79fefqZr9Zd4doZqwG4FxZpOtC7fhi964chdAcn58PQLfy66itzpCBj+4iZki7XZSttSQx0HPc/Q2g4DIj5NRcQBIROxnHoylr05xw6sz56cwbtqQg14QS6JqmNJKgOJ0mbBoPLemlNBUhaGv05gS4kIV0ipes0JgdE/bZUwENlvihQ44GehKWASKlfEPIpRkqFYg60sHnam6CuAjltKcnZUrE0jnJMy9mehkfiE1ARkHlmxjMqsPbR3lhSYkrFgWSksmu2paQ+JEhaPsK6gwYU+xx0d79SQxI3lTZGF0pDk7GFstZ24J1+HzuSfkoMm4RpcMrgLsoNH7VBjdaUAjNlfklrCh5cNJ/MMVdBXx9G+w7a/9DI4iVHA9BAJSVOGa2pve+Ng1GeicOHTfsrIcRgIcRLQogNQoh1Qoir3OUVQojnhRBb3Nfygn2+K4R4VwixSQhx/H5O0Sil/IyU8mdSypu86UD+vo8toNnd2kZbVw9jjG62Dt7Kn5/8M9FUP7V15RxzzDGkUr+n5J13WPnWW9x8883oq3WKwyV09Hawbfc2ykvLSUaTxHQdW0qSySTxeBwpJccccwyapiGEwLIsdBckRKNRbNsmEomQyWR49ZVXOOqoo2gcPJgXXniBm2++mUAgwOzZsxk/fjwzZsxg1apVJBIJjp8/nzPPPBOArVu3cvmXv8ySJUsYPnw4y5YtQwhBPJGgq6uLQCBAdU0NfX19SCk59dRTWb9+PZFIhFwuxzPPPMOat95i3LhxdHR0EO3vp7Ojgx3bt+NISW1tLaFQiHnz5mFZFoFAAMuyaGxsJBAM4jgOmzdvxrIsQqEQmUyGUaNHU15WRkNDA9OmTSMWi+WF/P39/QQCAYqKijAMg1AoRC6nBnzpdJre3l4uvPBChg0bxkknnsjs2bP5zGc+w+GHH057ezsPPfQQqVSKlpYWampq0HWdTCZDPB7nyMMPJ4sK7KosKaHItkm8+y4nTp6M1t3N6pdeYs2KFZQC0yoP5YhjPsVdDZfQuns3X54xneHOMBqqG2jeuY6HX36YLtlFeNxPD+Kd9n8b0AghAkKI84QQ1wghrvOmf/Z1/cuX7t/bltkrM743Q+OY77+dnVVP/k0HdmcIlPgortTzLmegAIrXXuW1W3kVYAB4eEDHcNurdmV1MijDgPKwSVnEojxs5t975gGeqL+i4NjeebLAeHdZIRMDA0DGY1Oy++xbV7Cf9947RqEuKLDPfvsev7A9rhC8legOy908nj4GQJDHRqVRmhpQrWglusqkqapQy0oGq++t5Jq4Cs1M2TAoQMVodRW+QUGCw8PIzUm1LuqC11xCudVphpq8cjNoDpohABwUU4B/sA4DGoHXgJ8DN+0zfVIfQf26/Va2xiVx0yHpsggpC66f/xpV0zaj6Q5oDi89NZ+MaRDymQwqiqEJScbWKTEEfTmH/hy05JJkMenV+jHw4UipWs+ko2yLhcCUNrrL11jSIWM7tKcFLUkfG6Jh9iRKCPhMErkAO2KlWI5GLBPm6EHtTK2IMqU8Q84R1IVMakOSEgNK/apdTLWISddNTL0mTZkHPDDAxIArDXOZqYA+AEZAMTXFhkAg8GmqFa3M0DE0jajpqLY1IbAkRHMif2xQx/cYGsPV7+gCNAQOEg1I2zamlHSkJb05n2tqoCyri31OXsdTHXAI+6A+5FAXUp+NJlS+TENYUhe0yDmCkM9iTU8FpX7B2NIcY0ttMjbsSEBVUBAzdZpPeA1rq0Hm6Rh1xzTTmgqTMA3eFbsolmHW5NpoKjr+4BkCAI4jDoaGxgK+IaUchwrkvkIIMR74DvCilHIU8KL7HnfducAElMvibW4+1gfVUiHEpL/n7/vYAppRo8dSXFbJS7tNAoEAh9ZNQzN0Vq1eTXWVQShk8MPX38AIBhndNJpnOp7lpp/exLhx47n6G1dTXzeI9vY27KKifEtZaWkp2WwWIQTBYJD29nZ6e3tZvXo1UkpCoRCO46BpGvF4nKmHHkosFuOBBx7guLlzqaio4KKLLiLa389TTz3FjTfeCMDMmTPZsHEjY8eOzV+/bhh0dHTw/PPPEwwG2bF9O9JxqKurwzRNVq5cSXl5OY2NjWzauJFoNEo6nWbZsmUcddRRzJgxg3g8TnV1NePGj8c0TdatX8+QIUOwbZve3l4GDx5MV1cXmUyGVCqFpmkEAgGmTJnCYYcdxgsvvMDGDRvw+/3samkhl8uxaNEinnvuObq6uiguLiaVSlFfX082m80fw3EcEokEtm3T091NU1MTfX199PT0EAqH+d3vfkdFRQVLly5l1apVjB8/nlkzZ7Jw4ULOPvts1qxWgZfr1q1j/dKl3Hv33UwHet9ZSxEKQiz560OEo1EmDh9Olc9HFTBt7jQ2b9rE27vfBorYWFlJcWUxrfFWrrvuOsZOHMuw8o9KQ/N/E9Cg6N1Po76kkgXTJ/Vh5TE0hQPb/LqCiLuFfQAAIABJREFU4f9eTlgFmpqkq70xHQjrWK6C13BBR5E7IA8yEJ7ptVN5g/twwXyt7mC6GhoPBBjuss6okV+XzOp02BpDdYcMA1oYUMCgsA0sw4CgH/Z2WvO23deuubVgO1Dif08D5G0De9s1v1/7WR8Dpuf7WkB32Fr+uN60teB4ve7fHoQ8SwNgZSWRGkOxM41BImfXIuqCMDKMqAtinNNA0RXDYKQCNp6VNoYGyaSy4PaX8L51sFvO9gdmtP+dbfPfUXXANSi37V+hzAO6pZSvSClf+UjP/G9cX6y+AtORXDG+nbCbQ5SwHDSfRWZXNUYoQ66nlKNPXEJPJkzaMsjZPnTNYVxVJ5PKckR8KpCyX4uRFVkyIpk3BTClTUjTMaWTtyrWhCCsq3s97dj0ZC1sCWlbCd5TOT85W6fUn6MlUUwsGyDsz6IhifgsSgyV9ZRzBDlHifQDugI1ZX4Nnyaw3VYvjwUI6soiOedA0lIgJ6ArJzJ/QbudJ8D3uy5nAV3piaQLg4KaYnBsqUCPIwe0MrY77zmjecdz3JwbU9oEhI5f6EggJjM4KHe5IsPEAZKWD1MqrVDWgSGRDJV+h7Qt8GuSwREbDUnGEeQcwRfmv8BRjbs5dsx6vn7e48ysSjJ/5CauOOVZmiIO/aZFd0ZyyuhNDBuxnba3xrCreTQyI7h3Tz/HjdjMaIbg4FDtVLAjsfig3l8OmjIG+JBpfx1nUso2KeVqdz4ObED9VHwauN/d7H7gNHf+08AjUsqslHI78C7KEv6D6lPAKpfNWSuEeMc1NtlvfWw1NLG0SVFxKYNOryA8NUw8E0PfpTFl/DSWvLSY3Tvu49wvXMLTd91NYAmcfdpZREuj/OTHP+GoaXN45c1XmVk3g1f3rKFiyhS2bt3Kxo0bOfHEE3nhhRc4/fTTKSkpoaqqivLychKJBOl0mkGDBpFOp/PsRTgc5sorr2Tnzp0UFRURjUZ56eWXaWpqyodu5nI5Ro0cye7du7nyyitJpVLccsstACxdunSvv2vkqFFs3rQJx3FwHIft27fT0NjI62+8QXt7O6NGjcLv9zNs2DCklLyzdi2lZWWUlJYyf/581q9bx7jx4wkGg7S0tFBdXU0ymeTZZ59l0qRJ6JpGX18fkUiEBQsW8NhjjzHNbTuLRCLceeedfP3rX88DlqqqKvr7+9m5cyfjxo3DcRyEEPz617/mO9/5Di8uWcKs2bMpKyvjnHPOYdmyZQwZMoRYTLXjnH7aaQTSaV5/6SX+5+mnATjpxBMJB4MMr6tjNcDu3QTDEK2PceihDbRubWXSERPZ8swWNmw2MS2L0xYcwc/vugl5HiwBzjzxBCbcsYgpX/kuz8de5/dP/Znq+nrefuvtg3ynHRxTACHEPcApQKeUcmLB8iuBr6AAx1+llN92l38XuARFXn1VSrnYXT4NuA819n0GuErKD+2KbZRSnrDfC/yk9i47OxCoqRkF8wXMzb6Bm7mEalvKJZUFcLkJyTTi0FJ8G5IESgWZ/jR+n0NfwofpBmemGRisB1EgpI+9B/pv2Rr1bpDkUNdNzO+TlBflMHTJ9s4g5RGLnOWjHDXQ97bDDfL0cm48QwKvrc2zX/YYoQr2NhYoBCy423lMTPM+y7zjeCDGAz4eq9POgGHAvuUBnLGuccJw9/iF7NFQ1xyhL2VQFLApd0Gd4ZOYtiDZaRIozRKsMCDjQE0YkbMRw2ogl0N2xREjShCHDUV29iFqypVlMwwAU8dUTM1HXft1MfvoEI0byLkIWOSKdD8LvCyE+KGU8paP7MT/5tWVcSjz69y3eRCXjNnNb9YPwq8JysfsRC/J4Gyt461l00ibfiKGSdI02BYtY/74d3h23WRa0wZ1IUlvVnCofxCdWZPtMkNWmISkHwtJwrEwhHrAEdB0dCEwHUfZKOOgScHOpEm54eO5tghzanSaSqKkTIPGSIKQz0QIiRCSnmyAcaUJWpLhPAPiIPAJMIXKajF1XACgNDA5R6I5iiESeaYEYrkB7ZCnw/Ha7UABEdtR7WOFZbjHtRxJ3FRtZ35d5IERKNBkCBUCGtBU65pf6OSkjYnSEpWLEBrg1yStqSBh3aEykGN0cYqerJ+QTwG8qZV9mI7Om11lLqiTBKVqobt10TxOaNrO0K/3wtpeLvj1EjITjiL0wpt8K/gE337gDFpTNqZpUDZmJxWlOWRaQ7vybl7f+V02rpqEBgQxSPzv5CMHVB6g218JIS4FLi1YdIcb4rvvdk0o45G/AbVSyjZQoEcIUeNu1gAsK9htN+//Fe/Vifu/wvevjy2g8QeCROMpWltjFBUXUTG4AqvUQrRp/G1ZM9f854X4c1k+vyrEM6dqXDdyPO/0r2XqjEN4xXmVTx9/KrXUYU90eOyxx3Cqq1lwyilYlkUsFuOZZ55hwoQJ6LqOlJJIJMLQoUNpa2sjEAjkrZh37tzJsccey65du5g5cybJRIJoNEooFKKrq4vZs2cjpeTIOXNYvXo1nR0d9Pf3881vfpOuri56enoIBgIEgkHKysooLy+nuLiYmtpaEokE/X19jB8/nvPPPx8hBKlUip6eHsLhMH19fTQNG4bP51P6GZ+P4SNGEA6HyWQybNiwgTfeeIPBjY0cffTRtO3ZQyqV4vAjjkDXdZa9+SbDmprYtWtXHoydeuqpbN68maFDh7JyxQomTZ5Ma2srI11AVldXRyaT4ZprrqGvr49rrrmG5xYvVixOLkdzsxriDB0yBIC/PPEE86dN47vf/Cab167lf5YsobikhNqyMl5cskTpiFpb6U3BGRPO5OXFj3P2bWfx2OI/cfwj89m5eScbV3dQE69B7AGrqopj+no5pKSEtTn48VX/RfqztWx7p5l79uuR8XfdaRwkU4D7gN8AD3gLhBDHoJ5uTJZSZr0viH0o3EHAC0KI0e4g5LeoL6JlKEBzAvDsh5x3qRBikpTynQO5yE/qfcoxB0CNGc8vFkbRgGUzKLvfjAtB3DwaAVCeoOiLPmR/lkHLo2Tasxhb0vQnfeQsQdDW8HuJ9+6rx9QEGXAyywA7XSZmPIrh6Yz68yGbOUvkDQNgwOLZrzvUu6J6T2MDA0xMYZZM2F3v3fHBgu09O2jvmrwWMw/AlBcs8/JuPLBUyOgUtpF5RgZeCCjAWzH/e9ikPsizWpNKs3RGDUYMt4n3eK1nWl6nZGclcncG0RhELu1GHFWjQEsuhxg9dODzazCQrZ2I0cMVAFU7Kw2NmciDGuE7nINenm3zh9VH3HXmApmTUWCmCfg18OeP9qz/3tVqJRihFyMl3Lq+gS+Pbee2DbVoARM7FuSlV45k7txXePLZeQihtC2HNPbwzs7htGcMWhLQGIH2jM2oYh1NGNTRxO50lgzqAYuD0o8gVNCl97yrWDeI22obQ9NI2A6m6bC6N8SuVIAyw2ZKVTeRQIa+VATT0SkxTNKWj+pAjgq/iU9z6M4E0IUkbul5IJO2BcWGJOcCGUsOaFykAMdR+D3nGgtI6dk7D7iUWRb5/TShdCsZWxLUXCtlXSAcmQ8hzdiK9cnaipHJOkp7owm1PqzrGFJDQ+X0lOoGGUeyO6UzJGJTHsixOR7iUzU9xEyDkcUxIkaOoJGjI15CUyRHytZIWxqmhCKfxHIEb3UM4qX/aOLcGUU0XvE1tGwHzqg1yBOP5Jaj/gg+H9bKBPq4MMggwnHIbbgHoUlCwQwRn07WdDjpW0M5iYPXbgYH5nKm8mjkHcB7AExhCSGKgMeBr0kpY+KDH8C834oPhFVSyp1CiCnAke6i16SUB/Qk+mPbcpbKWmQdHVbAxCkT6ejuIFwcJlWW5HOf/Q++Ew4xoqyMXM7k6KeS/G35MrZs3cLECRO5/viFjBk1ljvuvIMw8J2rr+aiefOYPGoUa956i7PPPpvq6mpi0Si1tbXcd9993Hbbbdx7772k02n8fj9+v5+JEyeyefNm7rvvPiorK+nq7ETXdRoaGujp6WHC+PGMGTOGF154gY6ODpAS27bxBwK89NJLtLe1UVdXRzQapby8nFtvvZUbbriBYDDIU089xcaNG6mrr2fz5s0UFxeTTCaxLIva2loANE3D7/fT3NyMrus4jkMgEKC/v590Os3MmTOZN28eQ5uaMAyDMWPHcuScOXkNzOzDDiMcDlNbW5s3QvD5fAQCAbZu3cqUQw6hvb2dMWPGcOedd9LY2JjX3ezZs4fq6moAphxyCK179rB7924+//nPAzCooYFTFyygurqatGnyo+uvZ+SUKUw//njKy8uprK7GSaU4/ayzsAyDo089lcVLl/KZL3+T1feuprGigcUPPseYCWPQntT486K/IL8Bzd3dnHrGGUyPR7jg3At491gQQjDnjNM/ojvt4LScSSlfZWBs6tVlwE+klFl3Gy/U7n0pXDf1u0RK+abLyjzAAO37QfV307v/1rWvk5nHxhQsl56ls/c0v9Di2clBoBjKyqGmDjFrMtrM4WhfmkjosuE0fHc44+aEOGQ6zJylAiFrS3KURyxqS1TqPcDwsMkI1OOuQli9PmUQCdoYrl5meE2a8iKLSNAmElT7lrngxu+TZFDsxvsxLTDAjsB74bv3PlPw6jE0Hpgp1M0UAhyPAQqwty7IO38fimosfP9+jw/CwNtZnZwlWNEbYIOtEe+xMXT1u1lZ6+oE0jbJjiypLpPMc93QayJX9CBbO5H9SRV2msvmWwLF6OFQNVR9rm6oJkbRR8/QHEjL2UdYQoj7gaWosN3rpZQzpJQ/klK27mfXT+ofqFFBZTiRcR+j37qhVrVLJYNk2ivRhcNTi47Dr9tYrlvVxrYGWhJF+DVJyCfYHHOoDuiUGA4NYUmxAcMiAcZFiijSVLhmTKTISptuJ0nMMYk5Zh7MmNKh206pfBgk25MmbWmNHUmDRbvqkFLg121sKaiPJCjzZwn5LHyaQ8I0COoqKLM/p5G0lI2zXwNDQMqlVzzQ4jmZecGcoFgYT5yuF9zuIZ/S5dgS4qbS5JiOMgmwHDVvOgPEpi2VZsdyJGnbyQMg1VLnBmI6DilH6YgyjoNAjb5NR5kdTCmP054OM76ih2g2wPpe9SCqMpzE0BwSpk7WUe1nPk1S5rdpTwfozOg8smImPV/4MYGXf4G2ZRPhZ++CbAayGXxjHDJT55JbKbCHjsI/7mJaNwznR8sm0G9a9PA+cQAHoRSg+fDpQEoIYaDAzENSSu8hR4c7BsF99cYru4HBBbs3Ans+5NhXAQ8BNe70oNupst/62AKaaDSGz6cTGRXhv//7Z1SVVNKZWUJ1WTWJ9PX8fPt29HSay+76MpfcfgnhkjDNm9ZRWlzKD25YSCqX4sLvX8ghtSEuW7iQn//2t9xz00307NnDgw8+yMSJE5k1ezaPP/44F1xwARdffDGmafLII4+wedMmGlznLsdxGD58OBUVFVRUVpJIJhk+bBiRSISu7m7uv/9+6urqePzxx8lkMvh8PpqampgzZw6VVVUsW7aMMWPH0rJzJ9/73vcYNGgQN954I319fYRCIR588EHWrFkDwEMPPYRlWfT09BCNRiktLSWRSNDY0MDqVauorKzEcRzWrFmDh6bfWbsWKSWWZVFeXk4ymSSRSPDII4/wxuuvM2nyZFavWoV0nd5KS0vx+/0EAgH8fj8jRoxg8+bNfOlLXyKXy2HbNqZp0tTUxJ49e1j25pt0tLfngY9hGBx++OHE43GeefZZurq6sMJhiiorsS2LRX/8I5nt2+l+5x1wHF5avJjpU6fyl6eeItnWxqI//YmtK7ZxUeUXYTE8+c2ncBwHroJ5l1xEP/DtN97gnq/fy2vlbVx4ySVs7uzE8fv53d1DP/iG+bvrIw3WHA0cKYT4mxDiFSHEDHd5A7CrYDuPwm1w5/dd/mF1IjAKmA8sQLW9Lfh7L/jfsjwdTaZ7gI3RAwPLC8FOsFyFaxpFqj1ND0BRhQptLK+EISMRE8chDhmKfsU4iq4ZQ+TsWkYdV0zDMMHo2QEahgkaKrI0VmQpL7IoCtjUh818u9mogE05sK0zRE2pybCaDDlr76/6sohFxHVF80BPh63lGZV9Xc8KWRhPrO+xKJmC7VLuNoUMi6eXKWRn9tXQFFaKAYH/vkyM52TmaX88G2vvOB22ltfx7O5RoZpl9T50v8BKqwBTX0hHdxPBM+1ZMiujyMXtyBU9OMu3IXe0IxNxxcqUVCrw6VMaGfk+Bg8H1d3MLSH2P33E9XnU989VKBY35k5xIcT72Pd9UgejRpc4pF3WYacZw3QcHrnxDno3NZGJRTjxS4/zmSsfxq/bVATTpHJ+Bpf1MiiU4rghLZw6uIdRxRo1QUl7WiNlqdDHxrBDY9hhbImPKUXFTAlWMDIcIkwAAw0bmywWaUyymDhIYo5JRlr0yRQ7Uzk2xnP4NFjTUU/QyCGloD8bJOvoGJpyBSsyTMr8Ocr9OcaWZBgStujKCKoDDv2mYHAEIsYAHtfFgPOZoSngY0nyVs5SDgRiesyK55YGKnfGAaXTkUpf4zmWaUIdy3K39wm13tA0dCHyFIGGwEZiShWwmbAkSUuwOaZE+hoQy6pHMkWGyc7+Clrjpfg0h6qgSXXAQhdKe9OT9WFLQanfIWbq/HzxXB771lx6Xx5Oz0sj6HpiCPaGLJnpx+EUNSAMC7uonOym+7n65YnkHEmJz8cgUXJQ3c28kngMzAdP+yuhBo93AxuklDcXrHoKuNCdvxClz/WWn+saEA1DjTeWf8gpLgFmSSmvk1JehzIe+OKB/H0fy5azH1z4AjW1dezY00nxlFrMdhO9S+eOnyzlq/dO4efvanyj+X6GHj+fCS+8yOLjFtDQ0MAxc49m6VtLOf578/nNX38DLwExOKyujlR7OzPmzKG4ooIfP/EEYceht7eXoUOH8sADDzBv3jxGjhzJIVOmEAyFWLF8OevXrwegubkZx3EYPHgw0f5+Dj/iCILBIB0dHSSTSbZs2cIxxxxDKBxm0KBBdLS3Y1lWHmisXLmSkSNHcsMN6ga//PLLqampYc+ePRx33HGMGjWK5uZmLr/8cnp7e1myZAnHHnsslqWewLa0qOD3v/3tb0yYMCHv0pZKpRg7bhy6rlNaWkogEKClpYXp06czf/58hBAkEgkOmTqVdc3NbN6yhUsvvZRf/epXnORqidra2rj22mvRNI22tjZqamrw+XzcdtttLFiwgOZ16xhUX09nZyePPvoop5x8MoZhoGkax8+fz5vLlvHmMtVe+Ytbb+XEww5jwaxZbHjuOUbX17MTeHvNGobU1zN3+nTGjBlDsZQ89fTTjKgay9b1G5HfgcuuX8hvfrAQgL49bZz33+exbkszZzz3PNceNxd/OML5F1/Ely5ZeJDvtgPT0BxoT+o+5UON2WYDM4A/CiGG88EU7v+K2oV/jN79d6u9Bq7ewNYoUvOaoVqRnNxe6/NtZ4UAJ6+xyQ089fe7onKfXwEcV7chkglEeQVMSFLu9yMTccqiOUpbEtBrYjXHaQCyUcU8pF0kUWZpJDMayaxOZa3Al7bxhXSstJ3fxrQF2zoV/5FGAQUvoybL3uyKl/dS6EYGKhunkNXJMhAI2sZ7W8r2BUveebx1HsjZyt6OaIXlAawwqm2truAaYcA1rcPW8Cd9sMti8ES/+79eUjJYHTUbtYkMDSpQsy1FoNuHCGrgd6+2EcgkFNj0+UH3I4JV6vPzF3+4dfc/Wv/kHBop/8XT9z5GVThwrQ9lWSuCfG5EN5qQPL2rlNt+dTGXnv9HjGl+5A4QlQaJnB+/bjO6pp2Jn3mZQ4E37zuRHYliurKCOTUpTEcjYph0Z4K81Sco9wtGFJsENIktBVFTx9CCJC1JUA+QNCVCKBajw0rRo/WhSQ0NjS5MimWYjrSflqQfW9Yzo76VzkQJadNHZzpEsWFS5s8iBHSnQ8QtnaSlMbZEmQwMCTu0pHwKtDjguPevlxMDquUMIOWGbQp3Tc6ROFLZNyctmXcr0xyVY2M5yhBA1wCpgJBfF9iOxKcpfY33EEAAOcdBE4KQrpO2B5zeupwUVjZETdAgbsK6aIiJZSlCPpOE6afYMLEdQcz0U2SYNEbiWI5OztaJmn7ejYeREtKORsYWFPsc1vSVEHvjCOZPVI0PVjyE85sVhOcuw/LZ+Eedz7bTfstnm9JcuO4B5ocvxfcRPbFwDoCFOQCJzRGoBx7vCCHecpddA/wENUa5BGgBzgaQUq4TQvwRWI/SAl/htsd/UAmgcL3NAX7bfSwBTWfbHorKqjF0wZaeLVx43n/w7oqtnPO1c+jq3kFVTRVP8Vm+MXEQS2vqeOCiB8CCqx74KqVrSvnhD37EV+78Ctp0wa9fvYWLa4/l4XsepnHyZNY9/TTzmpr440MPEWWAGh0+fDi/+93v+MY3vsFDDz1EVVUVAAtOOYXSsjKam5tZvHgxtbW1tLW309PTQyo1kJr00ksvcdFFF7FixQpWrlQDpxnTpzNi+HCSqRThcJhTTj6Zzs5OKisrWb16NS0tLdTV1fHuli0cfsQRtLW1sXLlSj73uc+xdu1aRZ2aJvPmzyeVUhRyIpGgoqKCrVu3EolEqKqqwrIstmzezNCmJmpqaujs7KS2thbTNAkGg2SzWfqjUSaMH8+uXbu47rrruOmmm/j85z/P7bffTnNzMxMnTuSPf/wj55xzDlvffZdDp07l3XffZXBjI8efcAKVlZVs2ryZV197jWRSmWjNOfJINE39bn7rW99i84oVTJ46lScWLeLCCy9kUG0tX//pTynz+Qj0tfH6X/+HZStWsGDuXEqLi5kxbRrjRo7k6VVPs2XpUqZPmILvubcJf+U0dFtnS3WQ09L1bG1t5bXVa1jd28t37hrMT75QSG78o3UggMZ3QD2p71O7gT+77WPLhRAOUMUHU7i73fl9l39gufTuFxnojX9QCHHHJ8Lf/ZTHunjmAB5Y0fzg5JB2FqEHFJhx9TVCD6gn/HpAASHdALvAOMBfNACIAsUDrxWAlVMuW4FiSPQimnrANPHPyyFzWYy2JJGWlHJMe7WXbFT9HiQ7LECnYnQYK+OQjQoCpZCNWvT36nlNzuCATSKr580GPC2Lx5QU9kIWtqJ5OhvYu7Wsl/caBRRWITtTqNEpBDseGPJazAoByzb3mB474y0v1NpkULbNyYxG75Y0pi2oHetD92t5B7PoJvVdFKn1k41ZBPdkkRUGoj8LpqlYGjubZ2gA14p7bzAj5cqDa9vsBXL8k0oIcayUcok7P8xtbfXWnVHQZvJJHcR6uy9M1rHpywZ5ZncRWcdhXOnAEFNUGtzzw89iCMnJx7zC4y8cy8Zff5azvvYHWqLlnDL+HbT1yvH2hXY/t5/zKq8sn8G6aDkxU9Lcb5CxJRnbYViRRmPYpi+nE9YlBKE9I6gLCab6Q2xPFNGfczA0gS5gc7aftoyBTwjWR/1k7MFMqeymMpzAnyhGE5KeTCjfgmZl/Pg0L1RT4tMcwEfGVuL/gA4pa0Avk3bzZBwJEZ8yD/AJMKUCMJKBfBkYCNl0UPv4XDMBiSTs00i77W2aaxKQsyW6ptzWDES+7SygaZi2w6iiAFuTyvEtaUG5X1IXMnm7T32jZGydQUVxTFsj5+gUGzl2J4up8GcJGSaV4SRJy5cHDDlbw5QCXZPsSgUwc+o7RPgcpK0h/T6cb/wn5o1fIZ2ZxkvtxRwRuoiMtDHc5qnrr7/hoNo221Jg/YOARkr5Oh8MMOZ+wD43Ajfu9wJV3Qv8TQjxF/f9aShGaL/1sQQ0Q5qGY9s2a99eyxvmboaPH87006bxs8du5DPnTuSC5oeBBGPkl+l4PpFvvOvs7uLUdb9m7ixw/urwmwdvo6G6Ab1K51vf/RabN77Lzh078DU28rNLLuHZ9evZtG0b0448kmhfH1dffTWLFy+mvV1FyV155ZXccsstXHLJJUyaNImZM2fmAyUfffRRDps9G5/PxyFTpxKPx7n33nsZPHgwx8+fj2mabNy0iR07d5LJZBg2bBjbtm9n6NCh9PX1scQVzOu6zqJFi6itq+PBBx/kvPPOo7W1laFDh1JWVsbOnTvJ5XIkEqonc+XKlYRCITo7O5k6dSq7du3KW0339/cTDAaRUhIIBLjpppu4/PLLcRyHtWvX8r3vfY94PM665mamT5/O7bffDsCTTz7Jk08+yUUXXUQ4HEbTNA6dNo0f//jHnHzyyXR3d9PQ2EjTsGEEg0H+8Ic/MG/ePH7/+99zySWX8Oijj7Jj+3aee/llErrOxuXLqauuZt2GDXz14osJR6O8/rdX2L27mxu+9wV61vdiCMHTTz/NqJHDYDwsvfU1Dj1qKud/5/O8mkxw2lO/50wTIuNGUlJeTldvH1//9rfZlkrxE35zEO+2AzEF+LsHJk8Ax6LchUa7J+tGUbgPCyFuRpkCjAKWSylttyVkNsp15AJgf8DEo3eTAEKInwJvHsB+/97lmQAUGgLoAch0K9DimMgClzNhFOXblfZibUCBG88sIFiuXND2Lb8fBZ4ZaFHLJCCXRZgmFCUQo0Am4hgjSjCiWWRLighAr6kcvfZkCNZFkCmbVNAkUgtVLquTszTleBbz53Uq9SjDAK8VrVDbAnsDkRTvz6YUZtQUvt+3jcxbV87eoKYwQLSegVa3wvBPD1Rl3W1q3WsuRw0qaoImpi3Y3ROguMvEzkr0gEWqa+DzsTIOdrbgp9yvKZasvw/qR6pluvH/x90MDkwn89H2nf0cpZ8B1St/aMG67/GJOcBHUhkbBoV0/rQzjC4kF47s46TP/RmtTpBZ6uexJ85FSoEJZGIRzvvLTowXXuHL//llxpearNw2kt6cj8pAlllVNo+9OodNsSDfmLGW+9dOIuyzsR2hMvQcSczUiJlwSHmSR3YGGVXsw3QgZmrMqMywLREgbio75kkh9S+xPAAlhkNVMMvOeClOTDC0OEoXVr7qAAAgAElEQVRdaT/l6TBSCjb0VuEgGFWcwNAcerJBerIGWfe5uyag35L4NYHutpllbEmJIdB0BVBCuiBtq208pzNNyL1cunQNhNti5iBcLw1B3HII6souOmcrdsavKzbHEUqH0xDWMB1IWlCj6URzkmq/4epsHDoz0JnxUx2UlPlzlPhVc23IMAnkbBwEnZkAhpAkLQMnFSFt6YR8St+kC4kuJG1pHyGf5P41hzC3YQ/DD92AP9VNZtTJhPyVJC89l6t+7HB6Y5Z3UwIbh9L3iwM4COVIlUPzoXWAOpqPqqSUNwshXkbpewVwkZRyzYHs+7EENNl0nIbqGkaNHs13v/B51m1fx/Yl2/ns0RcST97J051FXHzxdfT0rmDQkAaO/NSnGDdiHJXdlXytdiLv7Gzm+U9v44z+05k8djJOxuHeW+/j3HM/Qww4bcwYbr/7btoBExhcV0dnNktxcTFHH300J598Mj//+c/z1st3363AZVlZGVdddRXXX389AG8uW0ZVVRWvvf46AGecfjq7du2io7OTuro6zjrrLHbu3IkAdu/ezRFHHEEsFuOxxx7L2yYfeuihtLW18eCDD7Jw4UKe+etfyZkmb731Ftdeey333ntv/v/LiSecwMknn0x/fz/r1q3jsMMOo6KiIh/IuX37dqqqqnhn7VomTJxIU1MT5eXlZDIZLrvsMhzHwTRNHv/zn/nBD36AY9v5a7/uuuvIZrNks1k+deSR9Pf386lPfYrJkyeTSqUoLS2lZedOiktKGNbUxMsvv8zChQu54447aGpqorSsDD0cJtXayoVf/So/u+02hgwZAqtXs+Kttzhswki6E93seKsd3XF4p7mZE0+az72/v5e64jrax7Vza+tSDq+ayXd+/3sOC/iJjhtOb08v9aNGMuzQqby4rpkLZz1zcG82OwjWvo04+9QBdG8IIf4AHA1UCSF2Az8A7gHuEUI0AzngQpet+TAK9zIGbJuf5cMdzuAfoHf/ravQkrkwPLMwa8bOqgGwY+afeuVZGs1QJgG2CSTUE3/dvzdjA+6y3N7vdT8Ejb1ZAysHmQSirBz8ATAMROsuZUXcn4RoFl/CRPh1hF+jKGxAf5bI673IlE3f1jSZfotkVsdvCfw+SSKrk7M1anWHmOueVqI7eEksMVvLW0q3MaCvKXQ+81iXwmpgb5YHBkBSA0ofU3g8b//hKLCy09bybXH7OrG1Ab3utZajAFkyo1E5VFCesWhvhTos4j02ZfU++tusvPtZsiNLoFRXP4rHuo6jhqHstotqEWVj3msG4dZBZWfUEf+/CGU+/ALed/793n9SB6kytiRpSSoDOhlbcsrlj/Hor87j0CHbGXLIBgzNIWn50ITk+VXTOfW2l8mYQ7n1m/dw3S0XETWL0YXkze5iaoI22xMGs6sSNLcOcXNYlFVye1oj7FOD+awND+8IcHKDzdSaVjb1VDMoEufhbbWML7UYFJJMruqitqyX6rpOHnjtSCaU9xE2cuRsH42VXWiaQzoTJOzPYto+Rpf3kjYNdKGQSGsqQtbRqAs5bE+o22d0icPGqIaUMKwY4ib0ZNX2AU0Q8in3Mim9MEzVbqa7oMXv2i8rzQyAC3Zc17O4qdrKfEIwvkRSGTBZ1m0Q9gnKDIkpIeKTRHxK/2I5ygkt7BM0hGFLTJkMVPpt3u4t5dBKh6DPImn6CftMQobJrJpOOlMR1vcXY0mYVJagJRmizG8RNX10Z3RMKXAsQVCX5Gwdc9RkfHu2I299nfQV8O7FUUYXjeH2PXvwCR9BGaTN/R04mOyMV/tlYA76GQ+shBAlrltaBbDDnbx1FVLKfU2T3lMfS0CzdfMmpBEhdskofnffj5k3az7HHXccCx+9DtjC1Vf/imlv30zVYYcTX9XKkcfMYfGTi1i1cjXDH7yA6yrPgE2QHpFi+YrlLHvtb5xwzAncfc891AFHzJqFPXw49955J9dccw03/PKXfPb881ny4otksll6enqwbZurr76a4uJiFj37LFtXrGDWrH6uv/569ZQAGFJbyyGzZvHUU09x+GGHYfj9vNPczKxZs1i0aBFVVVXU1NRw5513Mnv2bNrb27Gt/8feecdHUef///mZme3JplfSgNB7L2JBRezYOXvBfir6Pc9+KnqengULdgU9T0H0kKaHCAoIEnqXKiEV0rPZZPuU3x+zm4RiuRN+3um9Ho88dnd25jOzs5PZec3r/X69VDp17EhWVhZDhgxh/vz5jB49mhNPPJF9+/axecsWEhMTeeihh/hmxQq6d+/O2LFjefHFFzlQVUV+QwOpqalUVFTw7rvvUlJSwgknnMCQIUOw2WxIkkRGZibx8fGUlJSwZfNmFi1eTDAY5O677+bVV18lNTWVSZMmcdddd7F8xQruv/9+DMNg5syZXHPNNfj9ftxuN8cffzz19fW4XC4kSWLX7t1s2dJmoPX+++8zcsQIvlm5krfffpvx48dj9XoJ1NYSr6qEiotZDNxz001o1VUcaDiAoQV4950PcCQmMmLwAFMmb6hiyKDBzNy+jg7BEKvuuJ0vKisZW1jInKVLWb/tWy4fPoxL+/zj6B9s7bujvw/6j7wPGIZx6fe8dcX3zH9ECdcwGz16H77E9+Lflnd/swg3H5I9Y2m1azbCh/dLi+hdfSPSYqo27RWdGBzR4i4tdDCBOYzMtMtEscSZZWoxchSX0ab0qGHIKzRJTg6mklNTjeELmHUenhCiSyqkORBNIVLCOsb2ZrIBtdiPrzpMqClMk9ckB66g1BrOGUOqYpapWWWdfEw1pL0rGbT15cSexwhOe7WnfYlZcfR5e/toG2bpm1vW2aFJdKZNkWnvvNbewtqJSWa8mkSSohL0qFgUmQS3jhqAjO52vGVBLLLZU6MGddx5dmSrhLo/iCVW1xKJmMQx7Du4b6rdd3L0yQymj8gvWHLGwdc1h17j/FLXPL9q3JD2e/wqOKIBk5IQHFjchwG5JeQP3I6hC4QwkIRBiyoT0iWcHQ/w7EvXtZZ2qbrAEOaFuk+VGJXu5cTeW5haNKL1cApqggy7TnVQQhZQGgwwNsPK6E672FBewBaPk5Edv+Nva8+heeKfsGfWs3T26RSO3MjuFYO49uQlRAJ2XGkNuPpUsfn9k4mP8xHn8qOqMlUNKcTbAnTqUMGBmnQ8ASdWSSesC+yyTo7TvLjXDUGvRB1vxPxfS7EJ3BazdKzEB5mOWLmaxsYGgW7o6JhkRhZt4ZoxJFolaoMa6CYhamln6bzbK+iWoFAQZ5Ijv2ruDEmYhMUTkQlpAkUSxFsgTtHolShItkYobrHQwamiGRKeUDRfUInQFLST6AiQHefFG7ZSH7bg12TsskFTRMGlaIStgki0zyekC+LtQQKvlFK1L5+u126ApXPpe6uDiqs708ABkkUWXuFll2/uMSEzP6Xk7BfEdExTovUcfI4R0dedfmyAXyWhGXXSKezY9R0L39/L3eP/SEgO8ewbz3DdJRPoMPwASYvuouT9DezZoeCv9eNNaqLvgH6st2ygcPMBDhywYdds1Bc2sOuj3TR4Gvj0i/mc+sCpfDJzNi9t3MjwLl2wAMVFRZzSvTt7v3iT/C5jWL5tG/2GDmXIoEEsWLCAsrIynv/DqdQeNwJN0bBYNrLh0win9u/Pkn37uDwnhxogWFvLzKIiCoBly5Zx/KhRzJ07l+Zm80Kpb9++JCUl8cYbb+DxeMjOzmbq1KnIskxFRQU33XQTzz//PADV1dWtBgIA4XCYiRMnEg6Hqampwel0cv/997N50ybq6+sZPHgw5eXlNDU18eGHH/LQQw9RVFTE9ddfz9tvv83pp59OdnY2s2fPJjc3l/T0dE4++WSmT5/OhAkTaGpqQtM0Ro8ezYrlyxkxciSSJBEOh9m1axe9evXC7/dTWlrKI488wqRJk7BYLKiqSs9evfA2N9PU1MSB/fvp060buFz0TE3lm7o6bhg6lO1A1779SGzy8uw7H/DKww/z5rvvMu3td7jq8St5b/ffWbtkHVP/+n/U+P2s2b+fxFCI+upqAsEgBVmZWCxHOck7hiBwhAqhg/ATCM0vhZ8j7/5mcWhgZvvSsljfTAyRFrC6W4lO+9Iz4HA3tJhCY3WZj1GF5yAFKAZ7Utvz2HyuzCgpio6jWE1yE5cMVhvC1xK1JfZhhEPgbPsJECPNsS0jITGsYRS3kJFpx1jRQLDKtDq2uRXUoIZil2kqC5phlUGZRp9CTnKIDFVQ7TX/19zR/hw4OIgzq93zWIlZB9qMCWLKTCz40xeScdk0Gv0WOmCqMMm0kZdYaZy3XWmcW9axKgZu9Nbt8YVkcntLKHaJUJNGk9c0Tkho0rAlyISaNIRTRnHKUBuAxGpIzzD3n9XaRiL/f+AXNgUAOgkh5kXXEnseW2vHY7rm3yjCmklkbLKg0q+TapMIh6w4XX7mzjmzVZ3RDYFNMrh42Cr2Lh6Gagiq/Aq3DtrEa+v7t1oiX9lrFx177eLW985FIOjq1ki1RbDJGle9vJQZd5xAQFXoHKfgVCKsK+tIs6rw/P6hxILc4198HO8dD3PqHfMwsrLo/adrANCX/xlwIo6fRted99BSnUJCwQEUt4+skiwaKjKorUshFLEQVBWSbOb5yyqbxQAS4LaG+NaTgEVAflwAb9hCvEWlNmSlY5xJBOpCgsJ4gx4JEp6wRJlPBQQNYRWnLJPpMM8vzREz7ybXJSML855NglUmpEFdWCPbIXMgIEizGVhlA7dFxyrpZDqCVPodbZbRhtnvoxkm6WpRJdLsGhZhoOnCLJ8L2nFZIjRHrMTbQuxpSqZfxgEWluZjGIISn3k+dykybouGT5WwSyb9KvEk06nFScdhWwiscaPE+1g2fwxCCCzYaTAO4BAJx+wYO0qmAMcEhmGcHX38t88vv0pCM2/muySccwND+2k4utv5euXXnHXa2Rg5GzEMD0uLVvGXV/6PvD0STeUe3nrjbegLf++Vx9LNi/jH+b9n0aeL+HzjLs509QArDD1uKPY9DjoP70y9rYgV8xcwbuRIcrKyGDJ8OFWeYUQsFnr26cNfJ0/m1DPPZGjv3hiGwb3ypww570Te+2oJHwwezciRGh/+dTM9T22ifkQpL6dmc89j3zHGamVPOMxFAwYwsHdvBsTH8/KCBeQVFPDmm2Y/+dChQ9mzZw8tLS1cdNFFfPTRR0h1dWzauJGBAwciSRIb1q2jH7AZ08S7pLiYuXPnckbUmUzXdZqbm7n77rv554IFTJ5sOu/dfffd9OzZk+Vff01uXh4ej4e8vDx8LS1YLBYuueQS/H4/ZaWlJCcnM3r0aJKSknj22WcBePDBBykqKsLv96NpGi+88AJg3mnK7tCB2267jUmTJtG1a1d2795NSUkJc+bMIcHtxu/3s3r5cr5evhyAS8eN45u5c0krLKR82zb+/sYbXHPhhTiBhx97jD9OnMiLr73Ie6/9nT8uvZtnnn+WyZMnc8l111I3cxYZF5zL0nf/xoA77uDhl17i5bPXHpuDTQUiPzLPf+D9zKMh7/4mEY4GZ7YnIZFmk0TEysmg9bWwRwM0ZZtpmRkzC4iRFNlmGgbYU0ALYbRXfmLjwxFLnUT7zJtYGVssxd7SjlxpIVNhcGdCXFTxUcPm9XC92e9HY0Ob01ps/K4dTIUi0YYDcKaZRgWGx2TwcbUBjGjJmrc8CEjYEhQs20JEVGGWrykaYVWQkxDBZdPw+BSqvdZWAhKgjeDECFCM/OSkhLDIBh6fQWYHsFZGt91rxY6pBNkxyYxVMUhVNNyqwGXTcNl1IqoAZNKjQZsAxZsirTk8KRkyVOvs36NjVUJkdLdDsgUKnWYPTVKymUfjNr9Dw1cZLTtr20/HRJ0BWgMxfjmMa/f82UPeO/T1//Az8UDOrewPgCdsYJcFiRaJx89cQmLnCqq3duHs079k4RejCWoyKbYQGa4W6uuSKRyxiRuSTVU27fidWDb2MxUBAfP2dOGBS5fyzrwvCc318v68M4m3mOeTuXeNJKzJ6IYgzR7CE7aS5fRRGTjc4Mb90mMEHrwbxxWPt06Tjm9TD5x/ffqg8lE3YNz2CB2GfEvR/FNx20JousCpRKj0mTcEvBGFXukHSLIHWFWdQUBVyHQEiegSPRKasCsqNkWl1uciqCkUuFTK/U5SbDKaIYjoCk7ZIBJt7I+pNhCzaTbJicsCqiFHCQ7UhQT9k0JohqDcb426vtlxKTqZdvPOY4I1TE3QPLfWBhWcioFD1tERhFUZWdJNkmYPUuWLY3ezHYuUgWaALAxSbBoRXRDWBY1hGd2AJJuKLMxtFcKgbkdHkjpVgiE49da5PPH7q6gILG3dh8dCnYE22+b/ZAghvjQM45Qfm3Yk/CoJzfEnn8YmxSDeFsei5YtZM2s1A18YyNpN23ln2lQ+vewy9HCIZ596BX2AlZtuuoG31r7FLcX1dPnjnazRdNJuPo1dU3bRK6+MO8+ayAtPvoh1opWrq67mI+dHnNv9PFILCnjyhRe4/PrryU4K8MHfPyCvII8zxoyhuaUFa80KHr7sHJ5wVHLLxk6cEZRYvPhL3jgbPBMhxMUsTvdw/UmXUvq7ADM//AePTfbj276drzZupNhmowMwokMHLI2N7G1qQgGCjY04bTY++ugjutrtjB0zBtliIZiQwKYlS7hg6FC+WLOG8848kz5WK1/v3MlZxx/Ps6+9RlN0H3Xu3JlVRUUA3H///aiqyjPPPMOgQYOorq6mT9++LF68mLFjxyKEIDMzk7KyMt555x0uv/xyUlNTSUtLQwjBZZddhtVqZcf27eTm5vL1smV4m5sZO3Yshq7zxaJFABQWms21u3fvBmDkiBGsLCpi/PjxAFwxYQLLv/iC6ooK6ktL6Z2URLC2liQhGJmTgy01lQhw9iWXsHjtWs689gz+uXEBzzzzLP3P7A/rNpHX2Mh24JK+fXlp7jy+nj+PscOG8uYP2p7/DLT3nf0+/GcqND9b3v3No727WXvLZmhTTNqhlYC067OJlaO1WTkfwo7bN4e2L3GLor3aI2SbOfah41viMFqnuUxyEyMvGXmmApHSzi/MWw/JWRAyyZtwxZluX2CWrrlMBcqgBnF5PsKvkrC10SQDQZ2O9gYadvvJdJhBlu32AJaQQZzNJDmpNjP402U3lZiY2gOmmtLYotCxC3j2GZSVitaStxiJiVMM08gASE3WUKNN/R6fEiUzZt6OVdHJSQnhC8pmLo3L7BWqrzawKnprRk/DngDJgKNnPKQ6zNBTX5QQOvJMy+YYYj1Pxwo/RaE5hjAMY1nbpoi06LTaX2yDfuVoUc0sFrtsljzVhwx8TfE0FPXHFecj3OykOWLlijGL+cdXowmpCrWeJDqrMvEdarGmeSj+dBh/HPsVz31xMk1hwZO3fsCjj97IgxOm8+nnZrSYSQYkfvfgR6j7ZJTMIB88dwWJ1jDnbjiDsw31iNvneOJf47AJL08iovkYKf+ByjW9CQbseFri8UXMc5dTUVmzP5eIIQhqErUhBR1wKSqyZFAXcOK2huicUku8y4euS3QJ2llZmYcE+DUJzRD4QzIFrjBlhhVrtOxOMwQWYRDUBRZhWj/XhwyaI4IUGzSGFU7vtJe1lXn4VAv5cc3UBJytuQelLQ6EAKes0zfJh2YIOiV42OtJwhO2YJV1XIqKL2IhyRZkWKpGQFWIV3TCukSSVcWnygSCMqohSLFp1IcUzsgvIyneS0KnSio39GD36n54A072epJZry0GQBIudOPHSj7+feit/UbfD+MXugErhLBjVgunCiGSaLul48Y0P/pR/OoIzd1nvkOLqzO+DA+76nYx7vJxrNpYhL3OztChA8lf9yA+fx/6Tp/ONU9dwZWNjbw1/y3kKy7B5YrjgZkzecnemeXLVqDmQs35XdDGWLmlxy0cKN3PW3VvMSI0nG1DNjPG0wUZmPb220x98WFQoSy/DL4xc1+842Gg9gHjW+CzAev5uHET/icmkFk0lURgV0MPhg87Ab/fT0aGlYkTL+RhXgQ+5+G90OWDEPLVcGDmelKCQXRZpmrNGk4ALrruOmq8XtauWEHdgQNk5eWR0NRE17w8tnz7Lbnx8dRVVfHRhg30Oe44nn/rLV6/7TZufvllBiqwee9eVu7dS++ePXnyyScBk+SMHDmSKVOm8PLLL3Peeeexe9cu9hYX09LSwh133MEZp5/ON998wwcffNC6zzMyMqiurmbE8OE4nU5kRaGsrIzCwkJ69epFaVkZfXr35h+zZgFw/vnnM3v2bFYWFREfH8/MmTMpLCxk1scf0z0vj/rycurLy4k0NtJSW8vaTZsY2LkzFUuWMGXSw1TqgqfnzqWsLM309wL8NX5eTE7nof79+XD2HCxC4gsgY18JUmnZsTvgAvxXlpwdDXn3twTDWGdexB5k0dxOTdHDGGFvK6loVUy0kEl2aOuvEbINYXWbikyMeESXaXVAOwQxhSf2PEZajkSSkA6/0BbR91tto2N9NzGCA2aZmxZpy8axxZtkJzHJVGqi2TitpgPW6LrDIUS6Wf5m1DRiyXSQAeBXMUr8iAInxvZmjIog6vpmXDYNe6JC0KPiSreQ0C2ajl4VarVX7jrcxr51QXw1Gi67gKCMy67iC0pkuDUsiklGYgj4wRLNr010qdgTFWxuhdIdKikZMkGPSqJLJTVZw53nQCkLUtcg4wsqWBWDlAwzo6dhT4Ds7c2I/HjT4SwxCRwprd8x0NbXdCxzaCQRDdX4ARxD04BoeN7DwO2YFxaSEEIFphiG8dgxW/FvDJMm/ZnRjusJ62bLlCRMp7N0u0CxqMiKhju1ESSdcaOX0lCZwaiO35GY7CEuo57dqwaQklKPtjcXizVMzf4MHrjgU5prkjmwqRt3n/cZW74awYVvbeLNq4YT0SVqQ1Zq/9kZV3oj4rSuXHzRvGgozMlI4vsvCVefOJNhy8aj6SHC4Tp07x6UxlJs3a4+4vwW2QX3vE4+YEy9DnXoUAYt/IrNn51ISlIjG4sL0RF0jNdoDNo5ELCZF/9BO+kOPxZJo7bFTVJCEzsr8shPreGMHtsoqcpGFjq5GVVU1aeaikNtBonWMDqwr8VJnjNIlqsZX8RKQLWwxROHJwzjCspZUJbD6op8ApqMS1HxhG10cLXQGLKjG4IcV5D6kJXKgII3IrO3GRpDVnyqRJYjjCQMKv0OVF3gUOxEdIFFMnAoGvnxXkqb3XSOb8GlOFCEQYnPhk8VrKjM4exuO9jy5UjiXT4slgjJipd9nmRsspsuzvHs1dZhkRxH3J9HAz+th+YXu5FyE3AnJnlZ325DvMArP2WAXx2hSU6IQ0lMZv6s96AfdP+8OxPPmUhFRQW7933Dc7ffxpmvf8y48/5Ck8/Pur65vPHpZzyal8eMoiKeu+pqVtTVMbN4Ba9few0L585j9aZNJM+R+Lx8IZedfxkJdjdN+V7su8M8/OQteOqbmDTvMTJHZyAlSpz0ymim/2M6JcN6sbXrYD7IcFDzzwUMuudZamoakHv8mU2bd3Fpt3Q8ngo0XcIfMEhJSefOu24mFLqKnfX1rDttI+edbSXTOo24RQVU7S8BG5w15kwqBqxl7cPrSC8YzperVtEvGOTsU0/ln4sXc/YZZ7Bo4ULiHA5OuuYaXA4HG775hlWVlTz4+99T/N13xO/YQX1ZGcu3b+fyc89l6bx55BoGy155heMGD+abdeuYM2cONmD0wIF8XlHBksceYzlt2Q9JQILTyTmXXMKUKVNaAzLBLD+rra1lx/bteL1eysvLOeP009m5axdLliwB4K677qKpqYmdO3awsqgIN9C/Vy/Kt22jqr6ec0eOxB4KccGYMUSamsjOzaWiqYXilhZye/Rgx6ZN5CTDiIuHU7R7Fbfcfi2vbt7MH277PTPnzeWPp42haN8+1u0r4Zixiv9ehQb4efLubxqHKim0Ixoc8pOgh0GymiQG2ohHbBzJcnBfTTsFpn1Z2WHkpf1jbHpsfUeCbGsbQwuZBEmPgKNdOVtMWQo0mGQGTGIjhw9eR7DFVG1iJMfXAr4WRMdcsFgwNu6CbBcizQFOBalLKsaeOrJPSob9Ici2mVbS3/kRYzMx9nqxD00gO9iarEdu9Lk904bh19DCOqEmjZDXrKO3uW3INkHDngCKTWBLMLfFlmD+rPlrY+VlMsldzIsExR51a8uz0+QN47JrhFWJoEdDsQkUW/Sb86vmZ0rJNJWYWHDqQfvzGCs0v6zL2Z2YfXVDYhk00VDf14QQdxmG8fwvuXG/JsTJCm6LQZkPEq1m6VREB1nWCAVtyPYQtftyaPHF0aGgDKsrQNAbR9WeAhpb4ghHFBz2IGmZNSRk1KGFLby4fCS3Dl9L+e6OaIZEaFY9Z/TagmEIbPYQrvRGnCObYa8HMTYfNTnrR7dz2DKzkkKWbMhKHLpsR3ckEdn8KkpFMVQ1ICZMO+Ky/gtuxZU0GPrAgCGTMKw28rfNpObrnqzc2geXJYI9bMUq6cRbwuY2hxUiusSWUvOe296aTIb33kp2uI56bwI1DSk0+l2cfPpX9G6Mp7EqlZyRW9BaHOxb04eOg7dh6ALbCImzFjqJO18Q6DUa7xn15CTVoygqxbWZxAF7m924LRFaIhYSrWFOzi1lTnEnhDCwyhIdnAGsssZubzxO2VRishzB6PwR6oJW0u1hdEPgkDXCmoxN0qn02xBAfdAg32XQ0Oxm2MULadpWgCOlCSSDx1b1xEBHMWQkIeEJbMP05jn6MBA/WnL2C/bQvAi8KIS4/d/NwfvVEZrpM6Zz0V1DmXDL9aR3TAcLPPnxX7j9/25n/ZIIY6YUc865FzN3zj94voefmpzTmAAcePpZvhFw5op93NUtnl3Aqidncuv4y3h7ylRYC6PnXsSbH0/nD5fcxO6XdjF95XTohmmoq0NVdTUUwpzyxUwmdYUAACAASURBVFAHLdu+5dJt39JjxHC2WS0MqNvO396dht2RQTBgwyZfzrDhQxGSRCg8h+cnP84tt95KgjuZysq9jDquPyEtmV1/Gsw/sq7iwUce4YlJk5D3fc7V3a5mVdU6aoKr6KNA47ZtpJ1+OvHNzaSqKid27co2rxfZauXB114DwJGRwcL161uJx1mnnMLNTU10i4+nvlcvOqSkcMqoUaR468ljMPPXraMDcFHPnuz89lt2hUJcOHw4WZEIFYmJzPnySxr9ft6ZMqW1LyaGJ554gjvvvJP5n34KwJgxY3jvvfe47LLLmD59Ovfddx9PPfUU48ePJyUlhdtuvZXl8+ZRU1XFiaNG0ad/f+b9/e8kSRJ5zc1oqkpmVhZTJ0/G2a8faRkZeDt0AL2SovdXkTgmkZJp73DDffdyw1N/5bRx5zKqcyHvr1rFvXdOZNnDzx2bA+6/1BTgaMi7v1kc5G4WVVMs8a2hmq04tO8lqpwc6oTWnui0V2wOQjsictDrI9kIt1dofozctCNSB/X/OJJNxaZVvWk3ZqC+LaMFzOeRSNtzqw0xrK/52tfSSnpEegbsK4G4gFnSZZHAbcGobEGk2kCRMKoCZm4OYB+VZJIeuxmEaUm1obREcO0PQUUQ1RNBSbSQbpfwVZuf05VhRUm0RD+Ggc1t/sTZ3Aohr4q3PITNrWBLkMntbSXUpFJTrmNPVHCmWfCWBc0eGqdibre3vs2BLkY0Y1bax1ShkUCSf3ieHyE8Qohc4D3Me1A68KZhGC9G++ZmAgWYvXOXGIZxqLv2VcAYwzDqYhMMwygWQlwBfAH8j9AcJZh2xIJEa5tCk2IzCAVtPFc0mGs9iaSn1bG3Np2cjqUsXno8EV2mX24J73+Xw8Mnr+TBRSO5f9hWGprdWGSNTLtKMGAnJbWBgqzdbF/TD4c9SE5hCYo9TMTnoGWZQvyLjyMDYskj5rXMD6D8kpeor0+mwRfPqBUnIexp4KsBSUJPTEYK+NFeuh5Ugfx/b7UuFwhWIjfugySz30w68RHzjRGQcQOcf8h6jKnXgU1CrxFUFvWlw4gtbJo/mt11Gaz+1gwN9UUs0dIyHc++bIIBOwU3llA+rTeaKtPt+o2Eew3BcCQh8s7F0mcefDYH53fvcfKss9k/0U8gaCMvqY6+45ew8M0L8IZsKMKguMXJwNwAI9PrWFubQpbDIKjJZLhayFUVPGErLkVDEQYORUXTJVRDENRkagJOGkNWZMnALukk2VR2NFnpGG9gkQwSXC3Ure2OpKiUbu5OIGing1PgrS5mg7Edt70bipxylI6sw/FTSs5+aRiGMUUI0RvoSbuQP8Mw3vuxZX91hObaq69iaWMtOa4OFO8pJqNjOscNG8WUyVMgoYyrrp7M0iXPIrOB141zOfGll3iTZG6+9VrO+G4zny7azie7djHjgvOZWbSK4/Mj3H333Xw2+1MaO3SgAnhjxhuMHncSNMM9T99DKBDi9Rdf48uUMKNCMKxHT0ID+jPc6WR9VRXfeTwMyM1l49be5OdP4pRTzkSxWIhEbGhGC06bC8RpXHVVP5KT8vh2+16Sk8+hoKCQJ598nGuuzuGyW9/GL7lxZZ/KR3Gr0F59h/NmnU0kFOHzmxeSYIV3X5qMJ6zzztSp3HbddVBayr5ly8jDFBGm/e1vTJw4kaJVq7j60kv5eMYMrpowASMjg2E2G8WNjUx57z3Gjh1LpwEDGFxXx1VnnslGr5cBY8ZwYOtWlu/YgScQIDkcphvQBHRPT2f77t3cftxx7GxqYsm2bfQbNKjVFADgww8/BGD16tUAPPPMM1xyySXMnDkTB9Bj4ECqKyoYUFjIsjVrqKupIU6SONDYSO/evRlzyim8MnkySNAtO5ulCxaQkAipBSnUZdabzm/Xns+ybdu46/bbmDLlZa55DO57vyvpksTD8wbx2Lnrj/4B919qCsBRkHd/c2ivosTQ3oVMDx9kDnAYKYm+f1C5mWQ5iICIQ1UXOJgo/RiB+Vfe08MHjSeIkpr2Tl4OW5trWqxvJFaCFStJA1OxiZKZwwhOJGI6q0UiiKQESEoAVxxGRaVpG+2LgKqDX0XkxUGmZr5WJFMpsUoQNu8KCKuMkWyBbBtKQwQaIiiFThJi4aG946Ahgsi048rxg1+DoI5vhw9XvvnbaHMr1G5rIeCHxCyFlAyBbDUP/7TecYj0aIuzK878PPakdv1Jpk2zoa4E2YphrDs2xgCS9OMlZz8OFfiDYRgbhBDxwHohxCLgGuBLwzCeEkLcB9wH3HvIspb2ZCYGwzBqhRDHJvXvN4ruCQJPOJZyD37VwBuBJ78ZjKZDSlIjsqzRJ6+Uhqp0euWUEY5YUDUZRUCLN55HT1iHz+8kO62Gsqos+qXW8XhRH9wWwaNjl9LnhDX4qlJwDypH690Lh78F6cTHCYXrEZKCdfSkw7ZLf+06UAXh6gTqvstDlg0MQ5DmbmLDyQtpDtoJqBYcSjbecCd0YwgBVeGKm99HnzIBkQBIAscVbxMEgntnINQwtm5Xoxvq95a3xVQeGciLThsw4BG23pbFsNwSAkE7uV33Ybl7MErTfvj0O9AljDI/dkcqCQ9mYFSlIdQwStN+jA9vwtYhF+mWaQSClehhDx2e17B3upjI1tdhh41uOWWEw1bKatOxyRrVnmSsssbIjBoagw7sikpT0M7+gJ2+yQ3saEzCJmu4lAjlfle05EzFMATNqqnOeA2ZeEUn0WpgEQb9UmrxBx0c2J9JYd8ddBtTTPnsPrxeNwvDCPLIIw8x9bkVeIO7mDTpz8fItpkfLTn7pS9XhBCPYGby9QT+CZwBrMC8OfOD+FURmjuP/yuNrm6Q4ae2og53WjzFTfvo0b0H36xewYCBI0lOTud3l15BJFLA85M3cNGDb8ITr2PoEXp06cqni7ZTipvZn8ymFvh87hzk1JHs2LWTyKoExl99NQs/+4ysnGzufeYePvnHJ5SWlHL9bTewcMarXHThhbhTEvCF/Pztww+pAr7KGcYFp/2O5J115OamMG3ak1x+8lOsKpvBgAEjKMgvpKGxkfSMXBoby8nNjcfj8bB48edMnPh7dC2MJIeZPXsu1103HsVyOStXrqG5VzdcLhfbew0kq/IrkvPymffRR1xeDtPnTDO/3QbTReiaW24hPjGR73btIh5QbDbi7XY2rF3L69FsGDtmQOas2bNJbGxEcjqZ/8UXyNnZnHPccXxYWsqNY8ci2WykOxxMe+01uufnc8G557J40SKWrFqFpmncP3Ys+2WZ9YDFYmHE8OGt7mWucJgkYODgwXzz0Uc4AKss892GDfzl4YeZ/Nhj2IGq3bupx8xG79a9OwG/n2tvuIF6Ifjzs8+SCnQd2JXdJbsRnUBPgAvzC/jrG6/j9QfoMqA/b5UNZtHbb/PY088w71hVff+XKjRHQ979reCg/pkYYnfrIy1HVGKE1X24YiNZj0yK4OByse8JbzwMRyIrh6guP3n56HoPI2HtCI6hhdr2gRYCzQpS9PNZ48wx1LBpFS2HTXUDzLKt2HMwVRtA5HRoJTpGS9Q9LqKbdkRNYdPHNmYrrUhglcHZxryNqHBCssX8azCDQ8mzYJRFyUxy1EK10AkNEexR4wJ3nh1XyEC2tf24x1Qch0Uy+4OsNohLNvdJu3IzM+rJxLFzOfv5Co1hGAcwXa4xDKNZCLED0yF7HOYFA8DfgKUcTmh+SH46htLUbweTJv2ZC9y3cMAvsEW/al/EQJbAEs1PUQ3QdQnFEiFv6FZ2Lx/E1C29uLH/VnRDoBrw5qY+3DxwM4Yh0eJzoRkSumE6nd3UZxfPfXUiD17wGTa3D3SQG2pRM83meq1uHUZcDsKlmD0vQP31f8GVWYetp4LRqKKHrfia47A7gqSm1hMO2ZBllcS4Zirq05AlHbusoiNwWcIsePdCvGEb3oiFG976Ghbcg625GcIRiOhoC5bDHa9AlNCE9ryPrcsR49ZaIY2exGXj78AyyEqw32gcOdcCoH/5J0T/OIJfGyh9raQdvxNKGkDXsRTvwHAnoHcsRPhb0L/8EzZAze4IukZ4xzQMqwMjqwMFl26leUUaqVk1rNrYH5sSISezioSMOjxVaewpz8NpDdEcsVLldxFvUWkKW+mU4CGoKYR0iX0tDlyKjkUyaIrIBDTB1kbzpoRTkdAMieagA5sSQYso+Nal8vLKoYTVda3HQwzHyuVM5yfYNv/SjAYuAvoBGw3DuFYIkQG8/VMW/FURmsJOebz08SxGPXolVU3V5HfOY9rUaVx/0w3c+ej1vPDU2/Tvt54OHVw8/dcvuGPiBJ54YhJXXHE6b7yxmPvuGsst40fRNTubppIS9s6eg+jThxkrPuecl2+mXDd44403uP3KK9hWXc30adNRE+DyWy9nc2MJf5gwgdumTiWEuWPjs7NYu/8AvQs7UFn5LRAhKzMBqOPTRfP53e/7E+dKoLxiKzabC0NX0HWdSLAFq1VnxIgeOJ068+fPpkf33ow7dyx/+ctzqOpnPPjQn5kx4x1k2cXFF11MVcLxbG20sZdOxD9xGmvGrWZTVTWXrt5PQXwSs99/jXFnnMvKr+fRE+hisZApBC1bttAzuv+agM9ff528+HhGnHACa195hSZgbKdOvPPkkzj79qV/djYer5fHnn6ay665hrTERD6eNYudu3ZR2L07jsxMQh07Mv+tt3jglltYuGZNK5m57ZJLWPvFF7x3111U2WzM8Plo2raNSk0jAZj/ySfccNttbJo3j+ZwGRNPv4btGzYwa+pbjB13Pi/Pns3dd91FAnDxZZex3phP53M7UfZdOVUDevHF/koKBg8mSQhCVivvvv02V95+OxtXLAc2HZuD7qeYAmg/8v4viJ8j7/5m0d55LEYg2isoh6opevjwabJZW31QKVn7+Q8lKz+ktBwNHEq+YjhEwYm9NiQLWDiY5LXPv7HQVqoVaYHU/LbxU6PrCjWb43nrETHjgXCUjCXRpvIAhM0sGKOl2SxVi+iIhOg+aYqOmw5Gjd90PM5zQqdoCVu0b0b0T4KwhrGivq2crSGCur8tJcc+OMEkUTnRe8OHhGi2fdZj7HIm/TSXMyHEjcCN7Sa9aRjGm0eYrwAYAKwGMqJkB8MwDggh0o8wdD8hxOEpseZhYD/C9P/h30CKTcIbNtAR1IZUbJJES0QlUbEQbxE8OGIzmiZTW5NGdVUmFiWCT4U3NvXh6h67+X3fXYRVC80+k4wYhiDJ2UIwYkXT4dE1hTw5ahtPzT6LBy6ax+bpJ5OZVY3V2UCoZTJCMrDY16M5g4RkDSHrJA2pRkgQ3u3GW5qJbFGxO4LIioqhS9gcAXRd0NQcT0aCh4bmeGyKSkg1LycjuoQi6WS7fMy+fSjnv1iECPhBkcEbQEo2YOGfMPbXQbwN2yWvte6P4N4ZGLINR8EFh+0r68MvAQcH96IoiFMex3FG26Twt29h7XUDxoJ7CPQbh1K7DRI1ZL8X3e5CqSkHSUZ4PaibgkQiCopbxdmhllBtIo0hO1UBJ8N/twAkcJ8TInF+LatWD+bEHt+y7ruuJNiC1AWc1PhdpDl9jDxxJZ8tPAU1+tk3NLjxhEE1DFyK+X886swvqd5WyJ6yfGyJzcz45Fz2Bw7+jLKUgKY3ccxg/EcQlh9DwDAMXQihCiHcQA0/0XX1V0VonHYbZ59+Cusbi1n2/lLyC/L4w2V3E7D6eeHBV7nxrptYvfF93nnHw7333ktDQxlQSII9DJRwoLaWNKeLwmCQ12bPMQWO3FzG3HoLmqritNsJAut37aJXfj6dzzqOQV27kZ2Sgt1m56Ovl/HMhAks/OYb/JJgwfYd/P7mm9hZXk63Hum88sr79OhewAMP3EhFpY/q6u0U+3aw6GM/E669noCrGLvDiqZqgIKnsYKamjCjRw9hz559TJu2kOEjhnDC8RMpLdlPXNw4ykpr+MtfNgEqrrhvuPLKa/novSdZ688hg/2oj04gJy+XGYVT+My+AW1UFueuOsDs4Fs89vgDbO/8LXM+mQufQbwKUmMjtXU1zPv4Y8aPHcs3a9ey8YsvsDud3HjGGfhbWtjv8XD80KHICQlMeeEF0oELTzmFt7/8ki7hMFtXrsRqt/PSa6/RAlxyySXk5eUx89lniaSn8+onnyBKSxl1wgmMvO8OXnnlHbreeCOvvvoqjdu2kToc+rh6M+vrd0kkkcuuv4z5c+djAMtXruS0M89k5YIFhIxmRk8YzcKGYhJlmWkzPyKusJDhAnZGVE48+yyWrVmNrhzDw/y/3xTg35Z3f3Nonz0DByshlviDiU1MjTlUoYEjE5b24/0c8nJoaOeh034I37fe2GeIWVMf6q4WxUEkp/2+ssa1WUbHCI9sNcmCFobUuLb1tDS0qjatVtEx+FoQcfGQEdeq8hAOYzh1k+Q0hREFblPlcSom6bHK4AmZpW0dc82xE20Q0c3enQInSrYNkefEaDG3TSQlgz26bmuc+bl/qmp2tPBTFBogSl4OIzAHDSVEHDALuDOaPfVTxv3xlf8PRwV7w17isZNssaIZBtl2KxLmheefi/piEYLb++1GCINn1/bh8sL9OK3m/3QgbKPB78JhiWAYgul7s7i+RwmaLhHUDRKtMn9d0wdZwNOzzqWr20ddi5vMxAY0TSanoBxHigeL20+4MR5nt2oMFULliah+u0lmEltwpDThKc0irCp4GpJQNZmM9Fo8nkSEMLApERyWMIGIFZclTFBVCGkKAVVh3p3DWj9rnDWM0xrCMAQjrvynWea68D6Mkhqkm6Zh73zpYfsnvGMackMV8nEPYCx6AEOSkU4xM3Fa+3HawdrrBgDEGU9D4zoMScb27Rr0Ej+WTBkjKxtRWU5wsxtDd2Jx+2kpzqa5Lol95bn4VIXj8osBqFzSnyzvDtynWjgl95/IHSFhSQPXfjCGXokSZ+aXMeKaBTQUFXLW2C8p3tyd0rp0eie2sLPJSY3mR1FlOjmcfPTReYw7ZQnxNekUfXkCH5dZeGRQCR8ub9v2Y0pmiJWc/fA8/wF8Z50QIhF4C7McvgV+Wu6GMP4FuiaE+A/4rEfGp/cvoryymqUJA0kbmMbLb0zhgtsvxC3cJPRyU+etJy7dhdVlxeK0MPmFC4BN3HPPZJ5++h7gFC677EIkaQt67Spq9AEM7h3C39hI9a5dbCpaxYXXT0Dz+YjM+JDx995LTfFepEiErSuL6OByU9ijCxmp6cwt+gavy8WCLVu46o47KC8uRsnJxZXgpqTRYNHiJZx33kVguHjur9WkpaRT2zSZP9y2keL908nPz6eoaCsjRoyguTlCRnoCGzdtZeCAgZSWVbNo0Wy6dOlBl8L+5OZlU13VxMZNa1mzejMT77yNVas20aNHF+Li4vhwxgxuuDGDffsO0L17dyoqSkhKsrBvXy0bP34OBZPVptrt1AWDXLgDMr/JZPDQQezcvpNQMEx5XTkooDhkQtUaI885h9LiYuz9+7Nm1izqgkGSMNN/r5g4kUgoxJ9ef50soAyzbKxLv36MHDaM9995h8xIhA6ANQ84YMGdmor3wAFzgE5AIhAGWZHQknSohrvOupPnX3sBWiDkikdtbsY1DkiFTR3glKuvoqvbzZQpLxME8o4fxdrlKygBfEe53MyI2oQIIZ7jhiX/R6eTfniBKYMwKtf/R6ZZCSG20ibv9ovJu4ZhnPP/cRv+Y88rreVF4eaDzQBifTOHIkZW2pMAOLwv5kjE49DpPweHKj9Ha9z2+D7DgSOs66Bytfbb1f51jOzEjBYkK4RbDp7nINXmCK9jPTyeRozG6MVBNFVPZGSZ78XIkM8HLpf5CBi1zeZ83Xqa22aNQ7jzwJ7azhDA1qrMHO1ys3bnlSc/f/aU+04b8sPeHINv+Iz1u+p/8LwS7Xf5FFhoGMbk6LRdwElRdSYLWGoYxo+0hP/3ITs727jxxht/fMZfALHyotGO60lQLAR1Hc0wSLQoyMK0bQ5qpkinGXBN9334QnaEMJAwmLrbPDYSrQK/as5zdo6H2WUJuBRBWAdvREcAl3b08s+KRByK2RSeYdcZll5H99xSMnvuBSDkicfiDGHPrUUPKaALApVpOPOrQDJo3pVHS6ObgM+JYQgURaWxKQHDEMiSToLbSzhsJRiyEYxYaQnZaQrZcSgRVF3CJqtYZB2bEsFpDeEP2xDCwB82zwEhVUGWdBxKhBFv16HU7Ud4zf/fUK8RKPVlKEP+cNh+DO6dcUQSdCQYn9xG6Kw/YXvvfoJjzgbFhn3lp2hlOhUr+2K1hWlpjiMxtQFJ1rHYwuiaREL/fYicRKpndiC5aynhxngs8X7kuAByJwmtRMOIyBiqjCXTR/PWHD5bciINYSuaIVh8QCLJqvDceV9SdyAd3RAs3tuVTyo1KuRKbIad/dp2moN7gKNbbvbmm2+yf//+2Hll0gXJ5zzc2fHDSQ3v1cygKlzzH3G9ElWW3YZhbPkp8/9qFJpIOMLq2niS+icR9AcZ0/c0Pnl1FsedNIrOaZ1I75BGvbcBZ7IL2Spz6aUP0eKr5OmnZwD9ufLKa6lvWE5cnMJ+fxKnnprD/v1b6dKxI12zsjlhxEi+3LyJRLudvONGsnvPbrrnF7B86RI6DxrIyi8WYUuMIyk+iT6ZWazZt49s3aCT18uKr5fjSUmhy4D+2OLjaarfg8vVwu5d33HqGRehKHY+X3A5O/bupFefJJ75yyquu7EniYmJFBXNZ58rgUGD+mGxhvB4KhgzZgxpafGUlBSzfPqndO5cxZrVEe6Y+CDffbeTTh2TSE6yoigSoLFsWRx1tUl8OGMlV1+dSHVVgIKCDiTfeB8WqxNJSOzctYmLjzsRn8/HrU8/DaxlWN8aVpNNP8wDRUVj3F5YvWA+x58yiq8/+IBnH32U119+Ga9SR0MV9Ha7+fPjj9MrIYGbbriBQouFq15+mQFDhjDzzTcZ3aED+yorsXaC2yfezpQXp+BtOMBmoF9iMpmZVpr9XpJ6JlPRVMGkPz5Kdaiar6Z+ZTIjYNxZI/l8z0K69CjEF/JRxwG0/fuZ9Pe/c+bok9gTDrOnvJxGm43ufQaxnpXH7sD77zUFiOHflnd/M2jfP9M+e+ZIiKkc7dWO9u5hP7ieY0A62pOGf5XY/Nj83+emdgQ1QxxKXuwpBzusSRaQY+pNu5I+R3LbfGFfW71JuMVUURRrm6pjsZiBoGoYkrMQDQegphrDEjJVl1hQZlY+1FdBbhdz3ii5EklV5hi2+LZSs0P3Hxz7cjM4KsGa0SyZqcCOGJmJYh5wNfBU9HHuz1rR//Bv4crk39Mc0bFIAgMJWZhZNC5FoBnm198cAVU3eP1b8yLUp+oIzP4Yp2z22UR0sMkwtzwBwwBf9Ba8LMAiBAv3J6JE/SUSrQaaIdjdlEinjAPoYSu2zHpUn4Oq3fmkBq1Y4v1YMzy4ulci7KDVW9A1CUXRsNlDaKpMIGjHalFpbIlD1WXiXD5ccT4CQTs2JUJEk4nTBSFNQQio9sfhskSQhY3GhlSyXc0ku3youtnvE9Zk5Ghvx7JrMwhqOVgkjdMmb0KpN3PkgsUfoyV3QVjikZQ4rNaUw8iM37cXp6szYbUJNezB6cxvfU9c8LJZK3nDNBzR8fTcfGS1mNwTNoIECWVphJudbP+2Bz177SBxbDXUA/VNCJGNds2puBbOYcnUceRnVNEpZz1GREFtcaLE+ale1gtJUclwteDXEqgLWhmcIjEopY7K0hxWlhcwNLvcDP4kjEuP47uIGXDusnXGF9p7zI43MC9F/tNLzoQQczFdGOcahlHyryz7qyE0zrh4DL2G2rpa0rJSyR2Qw3kF59O5ZyfUJBV0wfZt2ynQC4hPjUOWE4hEPCiW/kyYcDkff/QIDQ01XHjRSQSDUFq6F78vgJ6h4fX7mPriS/Q+bxwz58zl3quvJtFqZcG+YkYOGcqeHds5edy5JEYifLV5PXXHjeLm3v24NyWF92bNpF9BPt+FI6TICjPfeZfrrricFyc9xmW3LKe65mG6dHmJq64ySEhMZ/Pmdxl3UTxLlzbTf8ASrNIwjhtp4A+EWb16E31698DA4PnJb3HLLbfQs0cPAgGDQQPtqJrK5k2rufKqK5k16zN+N/48+vbLJi4uldNOO5my0mICgUby8zvz1FNPkp29jgsvGoemCjIzUmho2I/bnc5DD/2RHTt34HTEc1KHfHbs2Ei3bp2RJRu68LHmyadg7wq+ehi+1R/lufevYe7MuaA08vyKx3GdAs4vm0iIVPP0s38nCVj49tvUAHUWC326dKGucg9T3plCbpdcysvL6ZcKY08cTOnmMqrUKnwlftLz0nnk8UdBgZv/7yZEhmBL0Va212znlmtu5rX3XqfruC4Qgs8XLaZ7zx7MXLIUS3ISnmCQkKbR5DnGDSz/paYA7fBvy7u/SfwQmWmPf7XcK7bMDykqP5WQfF9OzaHTjibB+ilW0e23r/0jBwd/ivYmBGCGjcbMCSItbeGfMfvkuOQ2YqKG23p3MrpAdk9zvOZyc1qMrGRFl49PalPbYoGiVpdJcJxZ5jZaDil9+/+Bo2AKABwHXAlsFULEmggfwCQyHwkhJmCK6Bf/rG39H/4tRHQDSZjVkhICHVNpidnqRnST1CiSwK8aaIZBxDAVmpSoi4A3YhDS2pYJ6QayEKiGQZJVQhKm0YDbKmgMGbgtIAsDnyrT1BKP8W0h2744maFdd5KUUYdsjSDJGoF9Gdiz6pGiph9WVwA1bCEh0Yu3JoWMlCq89Ym43V50TaLBk4jD5eeAN5G0uGaS4pqxBJxENJk6XxzZcc1ounm8um0hNF3QHHQgC5OgxVlD+CJWKn1xFCY0ElAt6IbgbzeNIsPpwxexMu7DcrRIC1jisVgSiUSaUMN1CKFgRJoRlnhkSyK+mqXIzQew1VWgB/0YVhvyqfhNpQAAIABJREFUiPsIf/sWlo2rCY46Ez21F4oWQh5xH4EBldgXPQeGjsNWja3ZwtCCA+z5ejCW5UFcwyKQlMSctUOpO9FCvusKUh1+vi3PI+HLBiyOIFrYwt9mns+43ltYvbcrLkuYXU0OhqR62dEUT4Uvjm89iextVogYecyoDLKHDRi6hixZ0Q0VVQ8ceogcdfwU2+b/AMIzGRgPPCmEWINJbj41DCP4w4v9igjN/2PvvMOrKPMv/pl2e256DyWh995BpAiKgKLYVl0UxYIFdddecV3Lrj/76qpYV8GCBUWliCBIkwChhQ4BElJIT26d8v7+uAmGSFtXWHA9zzPPnTvlzjtzJzfvmXO+562urkZP7kBlSQnhcJisjlk4XS5278rDpTqJzYhj4IABlPnKqamuJSrWy9w5izj7nCFoWhldug4mKzOJKK/MJzNXEAjUkLe7goxEL4HSUv50993c/tRTvH799QSSk5BqfZyTksLMzz+jXatW5O7axdacddx4443EWRY78nZgGgbprniK9m3D43RxbvNmbEtLJcEweODqq9i753G6pqRi1P6dDdnZrM0tAD5E1a7lqgkBpk3Lp1//LHLWbaJJRkuqq/eTl6eRkBDDVVePJy7Oy6wvPqFPn8HIisz+gr1kNEkhHAozfNiZCBHA44mhQ/tkhBXgvfee5OabH8HhVLnt9qtxOu9g+vTX6N69C8nJTXnzjT9QWzuUhx95mE9mLufyK0z0sBeXU0MPVBEbF4uKnQsfehBFwF8l2L15M89+/DYxBrQb2Y6+1/fllS/e4obLr2LBwgUoI6GrJ47yheV4ysGzP4/SBJj65CPM/ux7+oxuj16hk7syl7kL5nHZVZey5d0tTH36EQo27ue1z18DF5iKSZovjfavdKCssJRX7von9IAu0V34rmQ7BrA2dzM3/elPrNu1k0+//po2XbuwbOzKE3vjBTmta2iEEJPrZv8pSdIc/g15938Gv0Q5ORohORyZaEw8/pN2HEkROlwk9IlA41qcxjVDxzPwJ4eGENTPC4jU6RAZv0cE69LTGlv46pW0eqtYVJPIq157MGpb0jw/WQL1GoRiP0im0OqIzxGu1QlLNzt4DtJ/HNsshPiBIw/7/fvAuf9lBEyBU5FQJAlJBoHArCsHC9dFOFt1nUuBwKVKmFaE+Mh1g29KSPhMA7uQseoIjyZJuBSZirBFuks+mHye7oJozcQQErolMXt3c7yaSdvoKopLEnG4/cS0Kya0OwZfaSxIAlGgoLqChGrc2D1+FJuOw+3HNBSc7kgHPOh3kNlqF/v3ZBDtCJAYV4aimkRF1VJeHktNyEHYVHBqOjIC3VJQFYuArqFIVkThsYWoDsvE24NUBJ3IkqAk4MKjRR4gVesan17SlKCpY1j5RNt2ce7y1iwZsh2nqhMwNAZ/HEZYJlqgEqXyALK/Fg6UIhkm5vJJ6PsTKMzrivbVHuLfGUzVXwuIu+U5zPdLCN4xDMuTjjumK7w6ESydFn3WY9w0Hiu+F8GqDVx3zyuYxTYkp878f51P1xY78Fd7WLOmG7Ik2FKtEbu9LRmeGoSAs9KLWV8eT6soH15biHX5CRQEDN6p+BTDrMSmJmIJHbkuBV2S5BOWblaP06GGRgjxPfC9JEkKMBSYBLxJZIy8o+I3QWimXfkGZeWVOJs4yXJkEpMYQ/GBYqp81cya8znDrhpOdFoML/7tBZKzkikuL2bkuWdzzz2Pkbt5LYsXf0dKSks+/fQLJlx1Po9MvYGS4lzGjG7Nl7Oncuno0RSXlnHXBeMo9/vZs2ABetNmfLpqFTZZ5sfcXFITE7n2z3/mlaefZuIf/oAjyktpVTk9e/Sk3F/BJcOHkuJy0dpmZ8UHH3LWmNH0TU1DFwIfoLdtQ+fW5QTNocz88gWmTbMxZOgb+Hw+AoHuyEoBvXp1RlHszJ+/kCFnDmfd+pWccUZ/CgoKqK0pJTray7BhPdiTt5Xs7GyGDh2K0yGRsy6b9u07c9fdD3GgpADDKCU2NgpdL+PMwX3x+cM47AbXXfcBzzzzDJbl57777kBgEAxUUFgkIclxCCWJ5597hBbs4v6bb2LZli30792bb4BxL/+ZV199jfhmhSRkZFA8yGTfN/tQr+lA0zOH0GTaYjiwnoE5A0hJS2Fn9k4+W7iQVUsWgg2GXzOMzOTmLPl8CZNGXkvRxiJe+/w1bpl0Cy9+8SLb9m7je20xNX3gjzPOp3OfTqzftIFFI7KJifJgBUOkxcZSUFbGzM8+Z/Idd/DMM88c69b5z3GaKzT/ibz7W8fB+pnjVWUaozFxORZRORGWs6N9/omqrWmM401sa0x0FPvPtm0chy3VWddEw+S5hvZA+GkMGRr8s5a1SG1MPTQPkr/wp2M2VmXq1aCTBUn5NRSa33EKor5+pp7MaDIETYGEhCpHOp26BQ4FTBFRXJyKjM+wiNZkBib5WVzioka30IXAqptMIbDLERKsC4FHlTkQFHg1CbsscKsCQ0g4FAshJMrCCjtqNBxKJKUsriIaz644ZMXE7vHjalGEUe7GqHFHwgESqrB0Fa+nmOp9yVimjNNbiyepDN+BOExTwW0PUloeR1brnVSWxFMbcpDkqabCH0lhkySBIkf+IZpCJmBoaLJJRdCJaUnIsoQkCWyKiVs1AAibCm7VoCxkJ84WxqGYhEyFr/ptQ5NV7KqBhODbC53Uhm14bW4sMqgO2wgYKlddMx2zNuJV9flclFbFsLBHDknOdnR9KRdFc6H+bSWaO8CBojnY3E3w9szH/shzaAsfxkzYiBzbBP/GJJznRc5jRJfV6GktCL+0lcFxlaxc041XZnzJkge6kxhTQShkJ/dACguKoGush+ZujfGZhYz4cRYOWypgITAxzDIkyYEiO3GqCZxo1KuApzokSXICY4goNd2JxMsfE78JQpOc3gQUG/tiUwgSQtd1PC4P7857F0xYMOdbMppkMH7MRVT4KijeU0zn1M58+sEsevRLo2OHkWRlpdOjewe2bV+OYTiprATDWM/IEWPJXr2KAR06YOg6lqoiu1zk7trJgXAYj8fDrtxcordsZWDPnvQZ0J8Nm3OJjYqiTUYGeS6JpgP6cduLLzEiIZEz+/bm3L592FVWhlZRTnx8PC98+hljr7ySK5/7kTsuacIdEyeSHzyHVT9uZ9SosYR1C58vkWAgwO68PNav8zD63MEkJJRTeiDE/PkbufHaW3jq/8YxfMiDdOgykvFjL2J/UQFN0uMwTZMDRWV4vG5effUB7rzrDnS9hrLyajKzmpCfv4eYWJX9+4t58KE7CAYLqKkJEOVxIEkmzZql8+47/6B9+xaAwZVTl7F0r0x0541c8/i1xABFtbVccsnFlH6xhMv7nUuxGuK8pyawessWOm6sYPq+jZRffhafTfAQ88XnaMtNskZqhC2d5gea8e2SBVAO7ho3r+z6iHPv6wtheGP2NEiA1VvXgAx/mDma2cu+YnzSeDrc0QFXs2Tm5OTgCocxVZVty5aRGBvLy888gw8vkXEiTyBO/xqaXyzv/s/iaCrH0VSY+mW/Bon4d6xjDbdp3O7jUWuOR9X5Nc5Jizpy4ELDhLiGSXJ1kBqco7D0Q9QZodceXH9IOlvDJLY6K8sRa4EakpkTXT8DEV3ld8Lym4ZDiXy/lojUukTboDggiLdHamT8BqQ4IwX+O2p0MlwaveMDfFvoRJFFpPbGgnHNwszOd2IKQciysMsyloiQJLXO0qbKkOIMo8oWtbpGWVihRo8ED2yttmOXozEsmaSsfSxcPIBz/vwF+jYPgaJ43Fn7ATD9DmwJlQSL4nDFV6H7nDiTywmVe/HXunA5AyiKiRAye3ZkUlobRdhU8YXt+HQbMgJDyIRMBa8thMcWxqe7MS0JTbZQZEGVbsMuW5SFHAghEW0LU6vbMIREtKbjNxVMS8at6YRMhShbiKqgA4dqIAS4tTCKbOEP2xFCwhISz70ygUnnzOX/vhhFcVDCZwiyPGBaMruW98cmW4zqkY3qDGJzB9BcIcJ5UchPTEZ2htFumxoRhZ8+F4DQ1newt5mAuvxJLFeQrevaM3LK5wTmxdGp0ybOfr8XATnAIy1MPrxmDs60Uv75xuWU+l3EuTpSE96PYVYgSTZUJRbDrADcB0MBTiTEccQ2/7e7K5IkfQj0AeYQGeR7kRDiuB4L/2ZSzt67ZTZXTP+RKXdOYVvedtp2a0NBSQFzNs7lxktvIN/KJzUjladfepobJ0xmfeF6egzqQaW5ir17LVJTY9m7dw3BYCmrsxdw/fWX4HYHUZQKnFYAs6qK0vx97N2+nW6dOpHz+SxG3HE7Rm0tcbKMUVpKKBTinFatD4b01wQD5OXlYblclFRV0bVjJ3q8sJ3Vt7ZEkiQCNTV8NGMGz9YKhgy9mOTkFqSmpDDzk7kochIDB45G1y3c7mi80fEUFRZSWlZFr579ME0JWbEIBHSWLl1N/379cLnsbMrdSkxMAjHR0fh8Plb+uIyePfuSkhzPtu3bSUpMJTk5hpID+/nnK5fSt9+fadu2JRUVNaQkpwOQkpqKHo54Xp968kkgyK1TbiIuzoUQNVhmCUhVKEoN1VW7iLUJfGVlvPL669QCU+rOf+yoc5j+9TdsGngxo7w1hN7/hqUXvcrq7LuprLQYRTVBYA/wedvxVHaCf33+ObW6QbtcjeXtdXruhjcy4ZoA4ICsuEyiU6P5V24OKUT4ROuhQ8gvKiKlTRtmzZ1HSts2BD0eSisrWTV+w69+rx2ScjZo4R0knnn0Hb7rgag4NVPO6tFI3j1bCHFMefdXPPYp+7siRDYEy3++4nBkojFx+CWd/KPVzxwNxworOJk4kbY2vW4AzvqY7IbXq56MNI7TtsKHWMsO2bdxFHfD6yhrhz8PxXZCLGeHpJz9Y/Q9I/o1Per2Pf/wMas3nxppRKciTvWUswu9kyM2sjoVxhKQ5hIU+CP2sMqwRJQqyK02aR2lEjAh3WWyugwUSSJsWUiShBCCkLBQkHAqEVVPlSQEgihVJtYO5zXfx7aKeAxLpjhooyQoYwq4sHkRNsXAphq4HUFi48qJzSjGkVaKHG0iXfMm1sKHMeOSMeKbgWUSeiIHU1exR/lAEgQqvJi6hiQJhJAI+JyUlMdTHYioIqaIqEY+PfIgwKaYmJZE0FSRiYzBAyAj8BkablWPrJMEiiQoD0dirB1KpB42bMnYFROHYmKXzYOKjyUkFFlgmHUqlSVTY2hUhGyUhRVCpkRpSGCJCJlMcgji7QZCSFx15veYYQ1fjZuMHrnsWNaNzK6bMUMaqiuIvW01Zpt2kfPpchX+W14m6loXLNyO7A5j9e2MsmcHRquO5N7u5tFVrTCE4LLmPhRJ8OleL5c0r6A6bOfmXYvQTR+mFUQIHSF0JElBiPCvbjlrnHI2wjvmoWb2o6ecfVYxgwP6f+93RZKks4H5Qoh/uwD6N6HQzL57Dh9tj+KWG2/F5rQT7Y1mYc4iig8UccGYCygMFlEVribJnQxh8CZGsfRfP7A0+weI3sf11/wV1Ejs4Nkjz+fss/tRUb6L6uoqYmIFGDo2l4sfNm4iMTGBWdnZJLZrS2lFJSlRHhZ8PJOzzxyM07LI3buHNJeb4oJ8BvTsyW5dp6KwkDadOuMWAsvcRbdnywEPk5nHy1zEJdFT+fC7Z4FnSUm5n/QML2edNYaNG7fQtk0ffL4Q69cvw+uNo327LLZszaF16/bk5KzD6YxiQP8uVFTkY7Ml06plKrvzCmneLIVQqIqRI4YSFeViztxv6de3LyUlM3j11T3c/8A93Dj5Dew2Oza7C03TqKouISbGQzBYhE2T8ftr+POdkzCNEIoaxuerwG7T2bVrE1lZ8WzfuYysFhnEKAo2p5NbJl7N+99+S0H/IaxbV4Dj62/4MjWVLKD9mkIG3HAzTLuebcku3jizFztKS7l78YVcfGM8nZ4s45/2zynVDaoHLEG+Mpv5H84lbvAmpowdS6dFq1m+YQUFSjXLcnezs+sfGdPKjz06hqnTpnHbReMRdjvdOnciqkkTZFlmT1wcq/j1Cc0hOM1raOCXy7u/dQiRHYlrbojDWch+TeXlSHHOx4OGnfP6znh9XPKJJjwNP/9E1ug0jMFu+Fq/zgwdquY03AfAHnf4z20Yy3wqQJJBPkYNze9U5rTE1KmPcXnsTchSREWRgQxPJCDAEhEyUxSQGJZSy6oyDx2iFYQQBE0JCYixKZSHTaJUBUPAAT3yN+BQNBQpUlcTtixibArNPBYxNoOt5Qnolky1rjCq+W5MIWNTDAK6DSEkdFOhotaDohjYnRFxXi7TcQLykKnIgDr/PvQhd7NslcLgb6IRj3+Da4yG/oGOMGUMXUNRTcJhG7IkcNtDhAwNyQJZEkhE2mlYCopiockWQVPFJplosoVuyUgSaLKJLmQ0yaIibCda09EtOWKXqhu4UgbscqS/GzRUHKqBKWRkYeLSwmh1NToAAUPFo0r4DIUkh0RJUKBIYJcFUWqEGK3f1J6k6Apa9VmH4g7SvPMWguVeFLvOvnVtaSpvRt63k8I17Wgy8SnMaJkPrh5Amqcle2u8XLxnLsKKYvlTabhsIfYZVTRRo5m5x0OVoTMxq5bntjlJtTkYqIxghfQ9sqQRNCsJ6xVEOZpRFcg94ffe8VjOToFQgMXAvZIkNRVCXCdJUiugjRBi9rF2/M+qDk8RFBcXoySlI0sScz6fg12yMbTfEGIcsezYvIMNqzcw+60vCWwLkB6bju7XueGKG3l48sOM730HFaXlBEMSW7fuZOWPS9m7pwzTkrHZXDz999cJO0djINiU7+eas8/m8r596RkbS8mqH1FLy0hu1pTXZ3yAsNmQbXb2FBfhjk9g686dVFdXY5dlWqamMO2550gqmcxllw3io37VvLz0IS4c348Pq/4M81Lhm5tJSIxidXYyB0p2UVSUR96ejTidJl6vDUkKoWkhkhJtBAOlaFqIli1S2LU7F2+0nZqaA5hWFUlJXqpr9hMTI5Gfv4VNuavp3787QgSZPn0PkyZNwjRDREU5qa4uIRA4gKb6SEnxkJLiQVUqCYbyCIdL2LBhFVFREqFgAS6nDFIZrdtk8dhjd7N5yzocgGYYVO8vYN5XX+P0+fnwg3cpKizkcVpTdeA21q6x8VZRDkkffse7na9j8LChrF2+nBnbtnFG3KOsXr0SgvBI7mY+xcbVzf9JxQd3MqH5TnS7nUFLd+KrihSqDOrbl9fyH6JNzrt89vFMpk2bhjfay9Mfz2RzTg4dWrehZ8eOqAKCW7ac+JuvvobmaNMpTGjq5N3NRNSZfwAthBC3/HdbdQrheEhAYxJy2Kf6h7F6NSw6r9+v4fTvoH57S/+p/qNehah/37DO5NfGyVaH6q/d8VzrhmSz3o4GP78etqjD2ARPgr3scJCkCKk52vQ7TlsETYFuCbS6r9GlWng1E1mK8NTmbost1e66gACJSj1Sa7OjRiFoClyKTK1pMSwlhFVnEnIpMiPTgpyT7ufiZn7aRRu0iPKRaA9hky2SnAE6xlZS4XfjdgRQVRNNMbGEFCEckiAUsuOv8eArjaF2fwLrhv8Lf9G36E9MZtnU7tjUaEb+OJzvzq7h20WDQNWIGbwPWYt8jq6rCCEhSxa6EZmHSO2MQ42MRePUdByqgU0xcGth3FoYSRJoDWpr3GrkbzTOHsKpGtjq1BmbYmKXLeTDiPoOJbKdLAlMK1KLU2NoOBQTU0g4FUG83awLR4jEVwctmSgtjCqbVPvdLPh6OD98PIp9G1sjKxaqI4xlybz6wYUoMUHS+mwEwyBvQ2suv2c6g8bMJ0rT+WbeUJYt7ocmm1yaU0WJsh+/aVJl6CwMTOOjPS6SNQdJDokFwQ+pDm4lTm5CmtYJjz0D6WR1xcVPtrMjTacA3gLCQP+69/nAY8ez42mv0My47l126qls27yNXgm96NypE5UVVWz6Lpfhg4fz4j9eoGOfThADNpfG6EvGsG3Tdrr26sLUB6Zy+dVX8P777zHknKGcf/54vN4wmzcvweEwSUuN4uqrJ/Hkk6OZNPEKbv/jaIw5c6jJzMTbpCmd0tOZMfNjenTowJVXXYUsyyxY+gNJLhdnt29P/kc/cFafAey0FZP08GIof4jrrjmfT+b1ZkaZAQmgbT2HITHd6fJQF3Zu20mcL45R3ZL52xt/ZsTIC5n58fcQygf7CgDOGnEOCQkJhMJVdOrYClkO0Lx5DE5HmIpgBTXVGnHxXiRkNm/JJS2tKR63h915W0lLTeOBB28HAYqiU1lVRmyskx07c2nXrh2KIgiHytm5axM2LYwQdqK9AkmuJhQqQ5J1LN1PbTAfMBg+/Fwef/QvDBlzE4WrljJ05EgqdJ3qJSaKmkeLlm1ZnT2LDm0Hs7bqftjnRw8XUVNaSt7YsWz/ejFDz55I5Z4iJl01CavTAN6YNpPL3/+EW3t2QdM01q9Zy7yC3ZiayYQb/sjEzevoOa6WxfvaUDTvEobdUcm27Bz+74J4XHFxLMnNZeu773JOv76U7Np14m/AEKe7QvMW8IdfIu/+liFE9vEVgTeuZTmS3epwyktDRePfUVAaKjGNi9ePpDQciSCdKja1w6HxNWmsAh1uQNLGBPFwsdWHg2KvG1/GfmgAQP1r/bKTRXBk+dgpZ7/X2Jx2mDr1MYY4rwV+img2hUCvizSOUk3KwwpN3UGWHnDRLS7E98UalgCXKhE0I5YpRZKoMsN8vE/GKSkYwmJgUhjTktEUk5Alk+YMkuGpZk91DDWGikWkwN5rA8NQIyqJEim8lyWLGG8NgaCdmhoPKX+NIu8OHVkWOBd9TPDyc/EurGTDiHcJhTViHDZChsasW3rhM/rzh+cXIuVtBxmMIgdbFvZFMwxUIRE2VZxaGE0xMCyFsKFiUw38YTsOWT9IToy6JDSrbrBOf9iGhRSxpQnpIDlSJIEFGHVWtp+IkITCT9YztxYmxSlRo9tIlwQuxaRG17jjj5/y0nsXYQqJeHuI82/7iJnPXophyby+SyNK0ZBJ4abSJHp0XYcQEiNabmX3nD6EwhrqIhOXM8D2D/oQ1jXGXvI5y78cTm3YTm3YjixVomInXzrAWz0DGNa5eJxb6Tp/Idk9zuI6rRvjljrRsLHVN4vOrktY7//wpNx/p0PKGZGHqpdIknQZgBAiUDem1jFx2hOaGG8UCSKWTBHNiqUrkFWZxA6JyLUyG9duZEj/oSz87jsmPjyRjz75iDMmnUFW8yzmzp5H+7T2FOwo4MzOQ+jQtj3YA6xbt5gWWd1Q1UosUYonKhZw8PqbbxINVNGb9LWf0bJlS+J2bKd5165UB4PkV1YwNiS4aMxFfP3FV3z2yHNgwJIrbiF/XyGX/QGcDg9p76VT+cBVaBOdyB/W8FXSbC4YeQG2GBu6plOlVyEHJAaEx/H993OZPPlWdu8qQJHGsGLhcqK1ITiNKPbvLURUeik/UE5SajNkmxuHaI7L6eSpu5+KXJyE7bRs2Yo+fbrg9Wq43Tp790QSedMzkjGNKlwuJ61aplJRUUgwUEt8vBtNk/nXtEIemvoQH338MR99sAhkweTJ15GUHI2qlnPFlc0oL4drp7yPJFWRkZHA3195BYiBPZcy8cq/8ebiUTRtOhGP1p5N61Zw3fg/oTfzY4m1vPPUJkieSUpKDAUFOwm0ms/291Po3acP2SvTWVzVhZztDwMXcLYygyv+eAX9Z7xLEEhr3xXTMul85VqESOGDXjbO6foZlvkwc6a9wXePwnesODk3oE7kWcLRcByERpKkN4HRQIkQomOjdX8G/g4kCiFK65bdC1wDmMCtQoi5dct7AG8TGYLwa2CKOHqh3C+Wd//ncCRLWT0hOVaK2C+1Mx1OWWncoVdsh3a6j0TGGrfpl6g2/wkJ+neP13D7+nPWa39+DprnJ8Ki1x66Tz0Rqr9ejdvwM0XnJxIjST0Ppt1Jan9OGuTjGIfmd5yWUCWZoGVhlyVsskRrL7gUC5+hEAZibBZhS6Zfoh+foeJQJDRJYm8ghFNW0GSZ/XrEsSAQnJWs4FCkyBN2SRA0FWyKiSIJNpQl4lQNVEkQMFR81HX8q2No1ywP01BQtUgdic/nov3oJUhRwK54WjyahqPXWvgW5vUWjPhxAetHDsawHAfJhUsLoyoW06cM4Q83vYdkA6PaTYuuuWjRtejVLnwlcThjajBDNmrKo0nqsJNQaQyKXUe2hbF0FUtX2b2xLZYlURt0EjZVouxBArp2sAanvrZGkSy8mo6FREBX0YXM+fd8GvHrqQr4w6BKWCUSRrUbS1cRhsz21Z0wTIWyrc249Zr3UTNNsASvPTohcs1ki4HxNlKdYZx1IQPXf3gWE1qU89r2WJ4bthbTdOLx+AgF7Szc0YbBWdtZN3cQUY4AAy79mqqNzemxezi7zXKe6xwkoNtwaDrBkJ3FA0ajqj66zFvEww8/cDDtbtydrRjHiY1rrsdxjUNzUlpyVITrbPACQJKkFsBx+blPe0Kz2+fhu12llAQq6dimA2+//grnpV1G93bdWL56BeedN5Z2zdsS/voA5543GneVixceeZ4brrsRs4VJbEoMu4zdvDTlJS64/EKWfLOdJe7t/OHGLGpqy0mI78OECa/TjK+pKikmLSmJYE06m0yTCw2Dr774kneJ47zzLyXUJZOXD5ST17Q9Kb3GEB+fzIpF3xIbG8XcixI456wzWZ83m7sefYjl3y2j3eR2yGGdktfyedYzHd3UsdscDOw6kMz2mSx/200oxaJmWw0/LFpC23OfYOaX98K3wGC48frJvPP+26DAbTfdzovPPRvpwo6EiRMnkpKewvc/LGbHGoNgMMi4sd3xFWqkpqcgfFFEexTW5KymS8c+JMfZ2LlnB8888z6PTH2QMRetpNpfxsWXjWFtTgrt2vbE6fITCpXxxOPRkyi3AAAgAElEQVR3wY52kAj3P3k/+4v3kpb6DcPPGsS389fStXc3kvrvop9xNeK7Dgx5ZAgrl6zgtfdeg7SZUDsekvdxz73refKJ4XRr8RrvPbcGEt7mnJ1/o1vPWPzVIe66ewrr1u0h+wcP639cQOvWrYnJSCe9RQs+/GQRTqeT6mqZjJ6t2FbSFlmZykvZYxj7Bw/j2844OTdgiGMbN49PoXkbeAl4t+FCSZKaAGcRGQCvfll74FKgA5AGfCtJUus6leUV4DpgBZG74Wzgm6Mc9y0iA2o2lHc/Bv63CY0ZPnzHvzFpqR/s8XD1I/WDQTZEY7tT45Ho9dp/r56jsWJQ/77+9XDE5kgK0tGCDBquO5HWtcPZxRq/b1gfBHVWsfBPyxqPQXOkGqLjuL5CZB8kNfXzJwWSdBwKzO8KzemGcz034DcNHESSyDaFD6DUJtEhxkKVBXbZQpJg+j6Lc1MixfDxdomNVZF7XReCCsNPvxg3blWgygJRp/CoEsRqOppkMf76GZjVjsgo9j4H73w+hvH9l+Lw+vhw3nBKAy6WbW1HgtOH1xkgLbmY9Mx96Ae8yNU6zonFQPHBdo/48VMAOs/9HoBvel5YZ++SqQhFBsF8/fmrMIRE0JQxhcTgjH10GbSS5xcM4f7LZyJrJvGxNSjuIHZRhWzXee61K7nlyo+QNYM2g1ahuIOEy6IxA5HfLzOsHXy1efyoriDCVLAlVyBpFlITL4TDkb9vVUUUVCPF2zF2SiieEMKQkSSLR6dfRFkoonA5N7Xk+Rb7kPfXYAUivwFzCyHOZqNDjIXflAmaNq7d/Amze1zES1viGJuus7swnURvFZ/ldKepu5ZRnXNYsKkTvZvuxmEPIYIqsX12MWltKQFdw7AUTCuiLDltEfUsFI6c19Spjx0kNfXzJwOCU8ZWdjQ8TCThrIkkSe8TGSD4quPZ8bRPOXv/7uU8/3kOLdt1QjcFS5YuI7VFG865/Gy27trG97MXUVpVClmAH26++maikrw88frj3D7ldtZXbSChWQKZbTLxCR8vTnue+26+n52ls4iJziEcyIfaWro2zyRJlsFXS7zdzojn5jP2vGH4/dUkJUaRmppEKBQiEBTU1Oi0bdORR8fuZGCvQRSu20+37t3ZsmYLrZq0QjZl7JYNjyuK2NhYnvrrk0y5fgrFxUU0SUvmHy88y8AnR5GVkUlKSioFBfmUlpUR647B4/GwffsOunboyqZNm0hPTKPkwAHSUlNZsXIlmS2a0zSzGabPRFNVSqtLKS0s4wv/LDJbZjFu7Pl4Y6MJWSGeeOpxkCODY42/6DLmzp1FTXUJnTo3xWazsTp7C1dPvI633nwZCEJ2Kx564mEkL0iKjBFtILkNAv4DPP30s8CrDOs/h7yc3eh+HXwQLyXQJLEJX7z2BeePO58vi7/AzMxj3LApfLbgH4y/aBIzZ8yGSiJq2qzvmHzRZNQhGi889TzUwN3nz6NWUUho246Zs2ez+8ABpkyZwhPPzKRvv7P4s207ObvzaDFsKNFuNxck/eOE3nOHpJzFLrwD+5lH36G0B0I/dsqZJEnNiUQmd2ywbCbwF2AW0FMIUVqnziCEeKJum7nAI0AesFAI0bZu+WXAmUKI649yzGwhRE9JktYKIbrVLVsnhOhyrPb+WjgVf1eEseznnemGccINn/wfr62pYUf7SINo/hIS8+/g1x5L5deKoD7WMY61jWKLBDgcK13ucDa9o31mA5xoMnNIytkbF98zYuDR04h6XvA2qzcW/c5qjoBTMeVsw7NlrDf3oqASlHxIKPTXWtDcHXnutaHSYmxGiLKQjc1VKrsDAVQkmrsc7PAH6B7txBSRcVcdikAAGa4w1brKnZPfBkCSLfTyKKr2pBEMODB0jTlb2mOXLSrDGrqQUKS6MAK3nzRPNQnRlQfJyi/Bvzr8Eb+pEDYV9Dp7mCXAb9bbwgRBU8alWCh1P/eyBFW6QtiS0CRRFwggMAX86dJPsXQVI2jD0lU0dwBhKjiSKpA0A9kdRkp1IaJjseKSkII+5IK9EWXT7oCAnxfuvRy/KRMwZAwBZaFIZHOcXSLVaTKhzwpmrOqNXY7U0xgCHIpF0JQJWzIygvvzXuW21JvIrgxwS6vQwYS2+gS2ipADm2zSpckePt3cAZdi4VYN3KpBgtNH0NSwyQZtm+1hZ34TVNlk6IpZh1y7E0lmGqecDXCNfihNO/rvyvyaD6gwj55ydjhHiSRJcUSGfWhOpC9ysRCiom7dYR0lR/n8eKAvkac2K+qdKcfCaa3QzP/TR/wYiqdHt05kf/MuTfpdTFC3kE3BU7c9iqmoxEfHkB6dzoiJI3nr4TdR3Ao5m3Lo2KoTutfAq3sRIYvtW7aT1DyJcRdcwBffv8mFF8Tg87kImHaWZX/PoE6deHLqo0QDLa5+kXEXxOJx2zFNjUAwzCeffkJ6ejIZGRl89EoGV08YzIW3d2PtwjXYUu3k7MyhZeuWzF0wFz0c5s6b7uTVl1/l6gsmggI+hx9HrJPd+wu5auJ1hDcESCp1UlSyjXnffENR4X5Cw+oCoU3o1b8npbWltOnYhqQWSTz22GNceN54PG43tVW1xMRFU1hQRNgMEzJC3N7ldlwxbnLezqFXn15YPotHhk8l6Avg9/vxrfPzp26PgAK4oLi4iFj7DpoV9eSuM1/E5rDx2NbHePT5qdx6762oisoz45/hyslXUlpdRlZ5F0b128NL97wIfeCSMZfy9cdfEZMYy8aNG8nqksmcb+Zw4yU3UlFYiRKlMHHiJbz55usQTIWERbRsdh3KSIU1m9cSszWG888bx8olK1i3bj0d+vTmvWnT8Csy/poHeOKZp7nvvmeZN38Z85YvpiY6mkFJSYx0/+3k3oShyPdxVFggSdJ1RJSTerwmhHjtaLtJkjQWKBBCrGtkIU2HQzx1+XXL9Lr5xsuPhl8s7/5WcUi6WcOksIbvG9dzHE/HvqFq8EuimX+N+o3DfcZ/QnJORCrYkVSno7WzXqFp2KaGCW/1OJq6dBSr3klTZg4e8HgsZ79zmdMJU6c+RjPPcILU0lPqygprJWfb+xM0BavKDYYkS3SIVpidb6dzrERxUKe120nIhBpd0NnrxBCgSmBXIqlopoCykMa9k94DUyZcHoUZtBOsdhPwOan1ufk+rwVCSIQsGZtigSlTY8g4FEFxwMkVG//1H5/blZve/dmyv2ddR7RmUv+8yqVErAo22cIUkbFnbLKFBVSGVVQpEuHsViz+8dG4g2TIFJF9napFwIgkobmUyH5xtjB2xUQI8Jt96raXMCwZp2JiCagRMkFT4o3SQx90PpgHkMPjmdcfJHhhU0YICYdsUWMo/KX5DQRNC7ukoFsySe4asotTGNJsN6W1XvSAjEcL8+2ONgetXEFTwRISQdOLJAmu3fw2S12j8Ok2ou2BQ9pwspSZehyP5ew48TY/d5TcAywQQjwpSdI9de/vPoaj5CAkSere6BiFda9N6yzxa47VqNOa0CiKgqt4DS1sNr5Wm1G0/AdiXS4chBh/3rlU+0IsX7mSgb1HEFwaYMqUKTz/6vOMGDUSV7QLzdSIdcfgiHMguxScLidZSeU0bRLN1KmPcO/d63h62n08+OAC9soBRt07iMLCfeh6kNpag88+/RT2nw/THoWHskj3/p3qSi+jrjSIylJZ+ukGPMlRdOvRjQRvPJ/PmsW1d10DQYn8knw69OuIvamN8yadT6W/EofTgc3QqLF0VJsdye4lJlHlvPGXsW1zLgMGDsQI+Zk7/zsK3tnFiLS+rHz+B5IS4znPM4xelU1YPi+bli0yeeGlp/H3coMNCMPcRXO4YsIVfDV3Nl/NnY2iqkgLA0TGJxYomDzwwEME/LWUV1RRUl7FgA5dqf2wFEmSWJW7nvsG3YeaqFGxoJyorl5wQ3J6CpVWFSlNU5mzeA43T7mZH5euQvlepjboY2/+HrISW7Bmy2oG9z+TnC3r2PTjJmrfrcUxyM453a9hX79cNr5wJtOKpiFqLQaIgXjP8FJpVVJYWkjvrmn830KLSzt15JvNW1CjX2XStXcwb/6nFBXqDB07hje/+JIvvviCM/+ZytAhQ3mozfsn5ybUObalTEAdeTkqgWkISZJcwP3AiMOtPvxRjrj8aPjF8u5vGkfrqCv2nxerHwuNa0GOefy6+g1j2YkvRP93P/9YBOhEtfd4iA0cqqI1HhuoMWk5XADAYXCwjuakWs5+TzL7raGDaAHAHP8MUl3d8BkWVYaOiWBOEcgYaJLC96UGY1JVigMCXZUImZGf9noyIxFxOj8w4UOssA3D7+DlD8dhlyNpZRHrmqjbRxASEnZJMGX7NB5++AHc7x7gvt2vntBzvXPXcf+7A+CprOsQAhRZHPyfapctjLp6nTt2vP5rNxHg4HX4U9pkEu0mjjqypEgCTRIoqmBQosLZA5ZhmTL+sI0Hfszi7s6FVOsa8wqdfFz1Mn9Km0zYjMRLP5n/Mi+3vgZTSDzf6lr2VgZxqAZlfvchx66vozlZxMZCYB7DlXU8fEcIsbjOUdIQ5wFn1s2/AywC7q5b/oEQIgTsliRpB9AbWN5o//87RrOGHqtdpzWhmf3VV3QZdinvvv8BYzt3J7HjUOZ8t5Qdm7JZu2YV3br3IsHrZPaHb+LwJnJF5+vp2akXPTv1oMxXxrNPP8PtD9xB8YEiUgc7MUUxNptGlDeK2yetxLIsHnzwPv7yl1tp374NyfvPJGCkkpSWRMGu7Uw841pWrFqB/OzHOJ1OOrbpiCPRTknZAYqLy6g1S/CF3QRsfvLMWrI6ZrHfX0isJ5b94ULiW8Szce8msnpmsXPdTvL35jNs0FB03eCDD2YwoLY/LqcDXdfp2asnCxb/QJOURIRlYLPZ2LpzNwlJyVRWV6MqCpW1Abyx8ZRX+7n7/kfQgz4qKiqYu3gVV182jh8+Wspjg+/k+x+WMXDwMPy9/Hzy+SwG9+9DjDeKlTm5tGqZRVJGJiWVG1A1O7IhsXnnFnr07Y7sVqitqeHFPyVy1zIfV198NSErREgPUVZTxo7923njo3zclpu8TbsROy369ejHgg9mMfq+CykpKKG2qgZPnJsrXr+c6W/MoFm7Zqx+ORu7y86F11zIvPfnsbpkNe3i2qJrOqnpqVSkXwZ//Atb/2pj+PBhfD5nLoFANdmrNtO2XSc2LFxEWtOmxDdtygBZZl/h/pN3E+oiMv36aAFkAvXqTAawRpKk3kSUlyYNts0A9tctzzjM8iNCCDFfkqQ1/CTvTjleefd/DodL3YKjF8kfqwAdjkgA6jvRpxxOEGFpWIB/3MdvTEIajxPUkNSYoUP3bUgaTzUcVzTz7wrN6QZDCFRJ4kzHxWwUGwgLi+6xNlZXhLAAHYtEzU6SrJHvj3zDugV2BdxqxI5lWvDg+NnImkGoPBojrPHuosF4VBObHLF0+QyVW7ZPO2wb6jvRpxru/jcJ0PGiYQH+0fB/+18+OP9Q0xvRZIFNsRBC4tbLZiLbdYwaN337ZPP33GHopopbNRjXxM/HVaBbEnZZ8GT+yzz88APo04vwGQpxNp1qXcOhGtTo/6UY+DoIjq+k95c4SoBkIUQhgBCiUJKkpLrlR3KUHNo2IYYcR9OOitP6EdDgM85gw/oclLJc+vfthRkOsjN3NT26dSPRadG3XSqyXsO1E6+ie8c2PP/Mc2T/ayW7Zu0iWBvinrvu5dlPnmH6iunIsoWshBGWziM3ZHPgwAGeeuopCqcFYGErhjon0yS1CTu37sSpOCjZW8L0d2cQ7Yihf/f+DB06FLfbxeolawj6giQmpHDd9ZdTHizHTLHYXr4d4kDLUJHTZLoM6UIoPkSFo4LacC1Lli6hU7+OfL9uMVqchq4bJLVJZunaldToAfaXldG/Xz/8IZNBI87mh+Ur2bNnL8GQTrPmmbRq24HSKh811TV4PB42b9mKrrhITEzk7GFngGKjNmRS4dfp1rs/RSUHqA0EOW/cWAqKSqn0h2me2ZyaWh/VPh9xCYn4TBNLEzTNbEppbSlhM0xlsJLzXljD3+5+iqLSYorzighXh3HHuOnVuzeB2gBZrVrQtXc3unbuxvbCHSRnNGfO45/SodLG1W270a5pe+bP/ZZmLZqxZM0SSsIluP1ups+aTmlxKdfdeB1GrwALls1Hc2hER7vhoVFE9X2BvyWlYAJvv72Iyy6bxKiu7/PXO2u47LLLWLF0KTlrc3j9zIUn7R7U0LETPuok/YLcECHEBiFEkhCiuRCiOZEfge5CiCLgC+BSSZLskiRlAq2AH+t+TGokSepbF3P4RyK1Nz+DJEnd6yegGRF5dz8Rebex9Pu/iYad33piIms/TQ3ReJnmOTqZqU8l+2+Nc3IK4hcRuGNdx5+FChxKgITIPvz+dWSnIU6q7ex4xqH5nc+cdggKk699r2IJwYSY7rT1KsgSpDscpNntZDldyEClbmIKKA0JDgQjiowl4J4xc3hw/GxCtS58JbH4KrzMWHwGbtXErphM2vIWEze/fUQy87+IX0LgHt37Cg/m/ZM7drxOWUjFCtuQnWGc3Svw9tjH7Ns/pyrooEZXqQzbuSn5JsIWVOrSwWNO2T6N+3a/yrZqB3G2EAFdZeLmt3+mxpxM21l9TPjRpkhwgHhNCNGzwfSfsM3jco5IknRXg/mLGq17/HgOdNoSmtk3/wuv18uGRZ8wcPSV5OTksGHNSjq1ySJO9ZOVnsi+vF1si9Jxa9CsSSppQY1xo0ag+6sxVxtURVVy691TuOv+O3B77Dz99yco+aEFl196Oe+d/x5TMm6jsqqK4cPOwml3UVRYRKsmrVj4zUK6tu7GiAEjaNm0Bfvy9rF00VIK8vaTkJBAgjMeWRG8+87LXHfTObhii3FE22netzl7g/uolWuQ4iEcHUZXdbZWbuXKKVdQLiroPbQXr7z5MkkpSWzL206Xnl2ISojCHeemuKIET5yHqooqWrZuw7CR55CW2RLZ5iSoG8Qnp7Fm03ZiEtPw+YOoNjt7i8qYPWc+m3fsISOzBeWVVdidThLTkwiKIPn782nWqhkJGQnsLNiFOy4KSzNJzUwlKAIEjQCx8TF4U73INokmTZow69XPmXL9FOKcsVgBQdfOXYnyRJGclEyHnh1p37MdfvyUGWUYdgOny0OUx0NVwOTt9z9izcz3CD75NQNXlLHl2Ry6ZXWn/EA5Xdd2g3h4dfqrFOzfT4e2nbj4yjh+XLmJnr360rlze16Im4wsXw+PrmdGuwd5pl0MACPdT2HU+mjeqeMx7pxfFyoGNsJHnY6H0EiSNIOIBNtGkqR8SZKuOdK2QohNwEdALhG72E0N/Kg3AtOAHcBOjpxw9n9HmZ4+9pn/NnGwU3206GM4lJw0rtGojxA+3Pa/k5gTB8UWSTyzRf08be5wMdeH2V9S+0emOvJy0mtnfmoMSMeYfmc0pw3qO9WLA2/Q1XUZfsL4DAm/KZFTYeAzLISAhwZlU2WYRKky+/0WugVBy2Jnrcmdo+YRrHFTVRyPryoKf62bL9f2wKkaTN72Btdufvu/e5K/UTye/zLepwtx3BXkyfuuwrchBdXrZ+SIhWRG1RDvCFKrR8jCy8U/DyR6pvBlNo7LYuuFzQ+Sl5NdO1MP6xhk5lh2tGOgWJKkVIC615K65UdylDTGpQ3m72207uzjacBpaznzRkezft16WrVsSVHBXgYNO4f8H/MY0K0NQnXQs08UH3zwAdd370Pejq2YKFwweiQ72prU6jUUVm2lj96HJs6mlJTkk/ev/ZyXdi9vvfom9/d9gBtvnIwwBHHeWFp2asGPq1axZ2cePQb2ZNn8pWQMTiepaRKGauCMdiE7JXbu3UV+ST5Nzs3ghfhEAL79KIrzxo5k//517Nn3A6bqwu/0E3QFWb1pNRPGTOC7r77D7wwQ3yaOZ/72DJRD1zbd2Fe4jwHd+1N5oArJLuMzamnapBn79u4lPTOdoBUiYAUIhoPE2GNYuHQRZ40eQUlpGZZiQ9d11mzKZdyF45FUCV038If8CFWwv3A/Ho+HuORYqiqqMVSTXoN6kbd3N4mpSfjDAfJLC2jfuT0V/nJssh1HvBNTM7n3oXvZXZBHVsdMZI9MwAzQtXdXlsxZgq/aR3F+CRtyN2BUGSRoCTiTXQzpOpo9m3IoLdrH2JHDSUmIYdPqZZg8Tjd9FaX7V5PhOUDFvP0cSGxF0c4yNvR/lO272uKNTqKosJLPPvuG5ORmTLjqUt565Cf/7z92/pHops34y1/+wnm9enFjtpNXen55Uu5DDR3tGAPR+I9D5BVCXHaM9c0bvf8r8NfDbJcNHJPV/Rry7v80jpZOdqSxZ34FIlPfwT5l7WinCCS1/8+tZAeJzfF9D42v8cmNbeb3gTN/ozAx0JGIsVmsLbcICZM4WSVoCR78vge1VhDNkAhZFu9csARZsZBki8qSeISQ0HWN+dvbYpMtJOD6LW/9x22q72Cfqna0UwXGhAT+8c5oDCERrZnolsQtk97jgkzQLj3WCNsRNL7GJze2WWAdq4bml5OaL4AJwJN1r7MaLJ8uSdIzREIBWgE/HmZ/6Qjzh3t/WJy2Co1pGLRt15bRY8Zw2agBTN8o0adbO9aFm7Hd1owD+bvo0q4VcdEumiVHob5Sw75MlegP5/PD3CWcc8kootxennr8SeRZdtLj05lzwwfc1/Ze8gv24ba5CIT82Gw2lnz7A3FRcVRVVLFl6RZuu+E2FEUhFAqxZ+9etm3cxprla2nbsi1eycuLLRMPtnPTxX/icUdHFpxxOfPmbsLtDpCebicq0Yc90WRL4RYGnNufjN4ZvPbhazRvkcnAQYOwRdlo36U9m3blonoUcnflktk+i7LaMuJTE7C5NCoCFSSlJmFza8heiaT0JBYv+x5LElQFIiTo3LHn8kP2UjxeD/nF+ahOlbAUIqV5MrsLd2OoBp54N85YB7JLJrFpEjVqNbZ0jcT2CRRVFxGXFkdUWhTl/nKwC3RFJ7N1c0zZRHVpRKV48cZ7qfx/9u47Pqoqffz459yp6b2H0HvvIIggC6Jiwba4Kn4Fxbbu7k9dxbJS1t5214ai2HVFVNaKigoCoiK9lyAQQgkhvU295/fHTJJJSCYBAplJztvXeU3mzp07Zybmcp85z3lOWQFdenchtySX3v16U1ZWSnhcOOMuHMcnH39MetuOTL3tLhZ9s5wfV/5MYmIi783ayfoP5pBc/Bu/rFmP0y255Y6b2bx+Ezx+Kcf+8iFGo5XwiGhGjRrPurVbeaNdzWvxeW+9zZH9+3jiH//g2Ucf44dVteeanT4aOgbcflsgXpY0xfBui1djvkWtb/grVY4GVE1YryOYaaJRGd+LaSEGVTXlePWmkgG4HXV+bgH1WQqtESM0SjDaXL6QD8b9zpEKjX+du5nnz95DjsNOudvNHnsJu7VtfF76MvMv/pWUt7bjKLeyd3cHKmxWyitC+CGzK0JIbts1n9t2zT/l/vheTM+c+WBVU443e/bDPLDvFWbufxmbtwCACHGCJnC+aazzcwukz1IH3Ei/rTHqySh5HBgnhNiNZ+28x6HBjBJfsp6f67pfd7+CdR2aRTe/Tll5OSFWKwmJibyWmUZxqY2E1Da8+tpr3PH3O9h/OIvFS77i9m1jCQ+H7XPCsTvtpNzxE44NF/HW9W/xx6mT+f6p55k0+XqS09sjYuLJ3Lcbc7yFqJRIVm/+DUOogZUrV4DDs5hlTFo0mVmZHC3OJSohCh2dXv178dhQ6wm/j+t2ZRIXHcurz79G2b5Som3RpEakMqLfCBCC0qISEuOTyDuch8lkxGoOIS46loNZB2nTpg2/rV/DwN4DMIaY2LhyIwaDgZTEZDSpkXXkAF27dsHlcrN17VZiEqPJaJ+BJdSKMAjyy/PQbTqGECObNm3inPPOwWaysXLtSrrGd8VsNhMZG0FISCjuEDd23U65vZzQ8BAcLgdRqVGIOI3MvZmkd0hn2cJlZO3czyHnISy/W3Ecc9A2NYNrLr6Ggg1ZfPPtdxzM+p2JI/uAdLPupyWYcfCnS88nISGW5Z+9y39zPuLuXtNITk7h7u8EM/od5fENrzBu5SKWfLuc++95jEfDT/xzbkq+69DE8+GdVob73T+HC3DITQEV1wgh1kkpB9T+ua77Z6AvAXNeOW7kw2/aWa2qW75rofg+fopO5kJbjeDUVKPggNtRXRDA53Nq7oCmxjo0706bMX5UF7/7D7rgOdZuzg6o80ogCaR1aGp/K7/9whFomsRgcGGx2hGaROoCoUnS398EwKEpPZBuA2nvbWbDuDH8sLcTJiGbbH7MyVxoqxGcmnwLDjjnGzBNcx9XhKA5A5ra69D0NJ/3UJyhrd/nrLN9Qomee8bPK0IIN1CGZzQmBKgc8hKAVUrZYDnRoEs5e2/Ki4SHhXHgwAFS09LI2r+fsvJyCvKsxCcl43I6uPeee9iyaxtffvsFmMDxQgcefv0lzv/ADB/9gVcvyeeCvJe5bVAfukiIvOgCwqxm8vNy2fDzBoaNGc7R0qP8vnMvaQlpxMbHsHLxCoYMGcrPS39m3KXjyDuYT2R8JHnZefTs0+OkghmAd7p0qvo58i/PkGxKIdIaRRllOCqctO3QFmERlBwtISEsniJbIe4KFxm92lJQUUByh2SOOnKJCokisXMC2QcPIsMlmzZvZsiQIZgtFnZv2sqgMQPRDTrrVq+nXYd2xCRGExYZTrm5nOjIKM654Bx0kxun7mToiCFs2bSVTqmdENEaxa4ijtpziYyOIDElCUwg7SBiNBZ+shB7qZ1BWYPYuXEnBTn58PUctFGPcckll/C/dxZxoE82WQey2X80lwfv/wfffPohgwf2w2rQ0eyFfLt0BSuL3uBc41gmRU1k+/btjBg5kr9lL8NqjQFgychJADxaGsGfdxzlhW6JdX6eZ4Q0hogAACAASURBVJoJJ+YGUs5Eo+qKnHGnPLzbkpxUAOAbyLgdnmaOaNJ+nexFtu/zWkpw0+gqaHU8p8bzfAJN3xS+M5pS1qBGlG1udX+lwae+AMDpMhJitWE0OzEYXRjMLtwuA5bwckrvj8OeH0Xcy9vIvakTOVO7kvT6UqDpit2c7EW27/NaSnDT2CpodT3H93mmae4ajwNV+wTKKI30/heIpJSnPOwcdCln17x9O6WlpXTo2BGH3U5Kaio5OTlkH9jP+++9S1lRAbm5udgr7IwZeS4P3PcAL/3nJeae3ZHFwx5k8dPDuLq0lGED+1JSXESo1Uyv7l0xGTUsJiM//XQeFqOZsJBQtm3cSueMznz+yeekxaWTnXmAwf0Gkb0/m8LcQhIi4ynNK+WVqxpau7Bxip+7i5z8HEaNH4Xd5CAmJQZrggVrlIWcghyiM2LACiXOEiqMFZiiTKzfuR5LpJndB3ajR0kyemaw7vf1DJkwhD1H9pBvy2fL3i3kOfIochVhSbKQ2CUBl9GF0+DEZXSxL28/xeVF2Jw2QsKshEWGE90mmoSuCRwpO8KW7K10aN+e8NQIVqxZQb4jH0OExpvvvcmwgcPIfPA6TE4TBW/9Db6eA0DF8vvYtXYnAwcO4qvPv2TdtnVMuWYKsx59kgFDhrH2t9UMGDSEjVt2UFxUwDlRU3C5XHTv3ReX280XX3zBeRMm0Kdvn5of0rNzAiaYgaYrCtAMTnl4tyU56QtZ7zf9wniW3xGZkzl+U11cB85F+onxnZh/spP0GxsABVr6nhBag60xEY0Q4nUhxFEhxBafbbFCiCVCiN3e25jT+V5as/ouZENDKjCaXJitdoxWB0azk9DYIgxmJ9JtIO7l35k580FeSJ1M0us7T/j4J9On5jrOmeY7Mf9kJ+k3NgAKtPQ9HYkL3W8L1ICnMYJuhAbA4XBgs9koLS0lPT2dPbHnMSIllP79+5Gc2oZvvl/O2o2bOY9veeSbX/nhvs8597GLAHj84ucwhUYSk5TCQx9fS49eP+IwhFNaWMTcjzzr9jw6q3q05a2iCoqLipl4yUQ2bdjM9g07KHWVEhYbxvxb/A/dnYyCN/7Gk2/87bjtY+5fxtatW1n80LDjHrtwsh3bMRuWJAtuu4uUXilkZmUS1zaOsLAwugzsQmKXJJb9uIxzRo1CGiXZB7M5djiPwWcNQpbqRMZFUVCRj8FkYOPOTXw+3fOPe7fb/8vAUQOZ06/6f5Xvvbft7nqD+WdnAPDO1E61u8W2ryczZXomhmQDO7fsICY+FniYr7+J47zRw3hl/lucNWIsPdsnseSLj0AkkxgTwbljziUyMpKX587lnNGjT/kzPZ0aM0KjBeYJoq8Qohjv8K73Z7z3mzenL1DUl27mk65U1yT9+lKZGjtqcjourOs7pr8FI0/HyE7tz6u+1/UXwNQ1UnMyozcBrXIOzal7k0au6N0UL6Y0bM9lgzGZHBhNTtAFmkHHFF5B5NOHq775r2uSfn2pTI0dNTkdF9b1HdPfgpGnY2Sn9udV3+v6C2DqGqk5mdGbQOaZJ+M/YyQgr1YaKegCmveuewG7w8Flr0yt2va3a1Zic9pZNjiTI3d9wOL7R5E/vAMrV/TkDyl/4L133mTWWXcRG5/Ern27Sc/owL6CfAAO7ttNTqGN0JgkRnb9Nyt3eoKJqddt4/V3ehBFNCPHnE35sQq2r5hcZ5/OhKWPjq73sUfGHT9Z2dhjDq5tD1Xdr6z5tcynIG+v6xfyyGX+Vy3f8eLV7Di+EiEA+565we9zAd6e5wl0OnZ+m6VLfgAgPiaSdWt+Y+LFl/LRO6/QefpN2FyCPr0Hk1/hIimxDfaiHM4//3zWb9jQ4Gs0p8qiAP4F3imiKYZ3W5K6LrCrqmRVppT5jMBU7t+Yi+jagU+zrm9Si7/XbijYqE9j9jnR161vnxYVxPgSGmgN/Yk2PEJzgit6K02srgtsa+anCIOb1Le3kXdbO+Je2nfc/o25iK4d+DTn+ia1+XvthoKN+jRmnxN93fr2aUlBjC9d6LiE/+uVYB6hCdqiAABf3PEuB7Oz+WTRIs4dcy73Ln2M2cP/H3t+38PbOZ/x5tX/ZtWqVVw2aRIbN27C7XaTkNoGabTSvlNXxs0aBcBdlyzAEpVEZGwiDi2UvBIb/3m1WzO/u9ahDf/H9ZMvIzUlmVU/fIVuL8HkKiEhKoTSvCO8vG9Bc3fxOL5FAbrz4p2RDPS7/2aup0zuUBnv9Qi084q/b/8bMxLg72I7kNKaWrLG/o4CiW9RgG/+e/uM8aO7+91/4PgnWLf5wM00sKK3N6D5QkrZy3u/UEoZ7fN4gZSyxaWdBVJRADj+Itn32//GjAT4u9gOpLSmlqyxv6NAUbsoQAfL6IeiDOl+n7Oj4ivK9bygvF4Jujk0vt577z1uXjSD4cOGczT3KPf2nU50dDQhVitzL3kUqetYrVZ27dpNbGwsHTq0JyE2ijZpqezdl8WLN37KG3f/TLsOnUhPTUHXJQ89204FM2fQAd7EHBrBM//6N7FxCWzfsYuY+BTyCkvIyGjLgqmvNHyQZtSYOTQBmnKm+FFfelhjR2TqCooC8SK6pWrMKFJA07wjNP6aaPIVvZXTrL70sMaOyNQVFAXaRXRL1phRpEDmxjNC46/JwPp+8YQEXcqZr//mexZB37J1C506duTxDa9wj7yJq666irffeYcunbuQkpJCVHQUkRERhIaFoRmM5BUVkdG2PQUVOtIcyg0P923md9K6PfT6GB67dhH2shL69urOL7+s4txRI1i94TeGDT9+zlAgaVyVs+A9QbRGdaWEncwFsApgmldwz6vRGq5ydvJlznKEEClSysO1VvRWTqO6UsJO5gJYBTDNK5jn1bhx48LVwF7Be70S1AFNpY9KvoMN3wEQHh7B9u3bcTgcREREkJaWisPpJCvrAN17dMelS+ISEjmSl891L1zUzD1XKulS0LtPb2YtmsJXD61g5Q9f07ZDZ1b89Etzd82vYJ1DozSsKUomK4Eh+IIbwWlMoKhvRW/lDGiKkslKYAi+4EYiW3BRgKBOOavLQ6ueJSY2lv/mL6Zvv74kJycTHh7OXxfPZE9mJmEhVsb98w8qmAkwy5Z+z4IFC3hp6kdcMOdsdIz8Z8O/mbnyyebuml8q5ax1qK/qlu99lVYWuGpXTgv435MmvGlnflrjyjY3ekVv5cyrr+qW732VVha4aldOC/Tfk1u4cQmX3xbMIU2LGKGp7Zq3bwfAZrNRVlpKREQEC298lStfu0l9FxWg2qfGs2f3Dm573fNv6+MrZzdzjxrHiAsTTr/7qJSzluFkq34pze9k17FpNsLQcNnmRmScSSmvruehsSfcJ+W0ONmqX0rzO9l1bJqLjgt3A9crwVzlrEUGNJXOe/aPLLr5dcY9c1Vzd0VpwO6d21haEngVzRqi5tC0PrXXoFECW3D+nhqzDk1QFiJS6lF7DRolsAXj70nHrQKaYDbJZ70aJXAFYzAD1Sln/qiApuUJzovk1idof09CeJrSqgTjRXJrFKy/Jx2J3sAcmmDW4gMaRTmdGlMUQAU0iqKcEKFGaBRFaVoq5UxRlHqplDNFUZqeaETZZkVRlMbTpRu39B/QqKIAitJKqZQzRVGankYLLEKqKEozkt6ks4b2ClYqoFGUU6BGaBRFaXKaBlpDVc5UypmiKI2n0/AIjZTBe72iAhpFOQWNG6FpuZPwFEU5DYRKOVMUpWlJ6UJXKWeKotTFgLsRRQEURVFORGNSztSZRVGUxmtMlbPgDWdUkq6inJLKERp/rTEpZ0KI14UQR4UQW3y2PSWE2CGE2CSEWCSEiPZ57D4hRKYQYqcQ4jyf7QOFEJu9jz0nhMpLUZTgo1UvrllfUxRFOQGVIzT+WjCHNCqgUZRTUDmHxn9A06iUszeBCbW2LQF6SSn7ALuA+wCEED2AyUBP73NeEqLqCmcuMB3o7G21j6koSqDThHcejZ+mvqtQFOUESOlGly6/TZVtVpRWythERQGklMuFEO1qbfvW5+4vwBXeny8BPpBS2oG9QohMYIgQYh8QKaX8GUAI8TZwKbC4Me9FUZRA0Zh1aBRFURpPl26E3sAcmiAuCqBGaBTl5P34K5uq5tHU1XaQSQJRCCGmCyHW+LTpJ/haU6kOTNKAAz6PZXu3pXl/rr1dUZSgIhrZFEVRGqeybLO/FszUCI2inCQp5WeDRDc2spu+dD7u8TJsfMkqDnEsSUp5FJh3Mq8jhHgAcAHvVW6qqzt+tiuKEkyEGqFRFKVpSamjS5f/fYL4kkGN0CjKKVjLzrhvWE0p5cc9togfGc8QvMHMSRFCXA9MBK6R1QXis4E2PrulA4e829Pr2K4oSjBpqCCAMKBGaBRFORESF1I6/bZg/g5UBTSKcgqklPkXMpyFLK3xzcYm9uBG5w355UlfdQghJgD3AhdLKX0jps+AyUIIixCiPZ7J/6ullIeBEiHEMG91synApyf7+oqiNBOBdy0aP01RFOVESImUut8WzFRAoyinaJ78TFgwsZ5dAJRSwdf8wnp2xTf2GEKI/wI/A12FENlCiGnAC0AEsEQIsUEI8TKAlHIr8CGwDfgauF1KWbkYzq3Aa0AmsAdVEEBRglAjyjaroEZRlBMgcXtGafy0xozQCCEmeJeMyBRCzDj9PW8cNYdGUZrAarbHZJNb0Il0PuFHzmcYr8nP8xr7fCnl1XVsnu9n/0eAR+rYvgbo1djXVRQlAKm1ZhRFaWLV33v63cvvo94lIl4ExuFJc/9NCPGZlHLbqffw1KiARlGagJSy8BYxiRf4mAySeE1+rr4+VRTlpOzafYC4+Ci/+9jtDZRfVRRFqUFHNliWucERmiFAppTydwAhxAd4lpJo9oBGNPzmfHYWIhfYf/q6oygBr62UMqG+B4UQVwFLpJQFZ7BPQU2dVxSl+rwihDgbuK4Rz8mSUj58ersVvNR5RVFqnFfOAv6vEc855G2+S0vMk1LO8x7nCmCClPJG7/3rgKFSyj83ZcdPxgmN0Pi7kFMUBaSUHzZ3H4KNOq8oSjUp5QpgRXP3I9ip84qiVJNSrgJWncBT6ltmImCXh1BFARRFURRFURRFaUh9y0Y0OxXQKIqiKIqiKIrSkN+AzkKI9kIIMzAZz1ISzU4VBVAURVEURVEUxS8ppUsI8WfgG8AAvO5dSqLZnVBRAEVRFEVRFEVRlECiUs4URVEURVEURQlaKqBRFEVRFEVRFCVoqYBGURRFURRFUZSgpQIaRVEURVEURVGClgpoFEVRFEVRFEUJWiqgURRFURRFURQlaKmARlEURVEURVGUoKUCGkVRFEVRFEVRgpYKaBRFURRFURRFCVoqoFEURVEURVEUJWipgEZRmpAQoocQwtTc/VAURRFCRAshPhJC7BBCbBdCDBdCxAohlgghdntvY5q7n4qinHlCiC5CCGtz96OpGE9kZyGEPF0dOVOSevcnZ/P65u6GEsSklKKu7UKInlbY0st790z2KZi1hPPKwIHdWbt2e3N3QwlivueVTiJMluNu8DmHsX8jpZzgZ5f/AF9LKa8QQpiBUOB+4Hsp5eNCiBnADODeU+t94AkNDZXR0dHN3Y1TcvjwYVJSUpq7G0qQKiwspLy8vL7rlbaJiZE7b5h2DrSQ6xUhZeOvJYL5wuO+L2w8tvoC7r33Xyz+JJNN113e3F1SglRdAY0QwpQMjrOBFcBIYGE9gY9SUzCfV6Rc4/nB7QCDGSEGNW+HlKDle15JE1Z5C20bfM5D7ForpazzfzohRCSwEeggff6hF0LsBEZLKQ8LIVKAZVLKrqf8BgJMamqqnD59enN346TMnv0wAKNDprGsYj4zZz7YzD1SgtG8efM4dOhQXdcrYsL5ffW777mQWQ99zL+fm8LAfvcH/fVKq0g5e2ifCzEQLr7oKX5cvpbwxL0M+HRGc3dLaUGGgCMDiAdGA8sBIYSlWTulnFZSrvEEMm6HZ4PbgXStat5OKS2CwJM+0VBrQAcgF3hDCLFeCPGaECIMSJJSHgbw3iaehregnKTZsx+md+iV9Au9mgqcjAm5kS+f3Nfc3VJakLfeuUXPyIhj9OgevDj3Bv5825sIIU4oYysQtYqAZk47I3vy19CnZ28GDhhPQcEWCgutXLj6Wcb/tKy5u6cEuauEkFlAf+/9GKATMABszdcr5XQTYhAYzNUbdE9gI12rqkduFOUkaY1oQLwQYo1P8x2SMAIDgLlSyv5AGZ70MiWAzZz5IJvLF2IXNpy46BBmQUfn2ycPVI3cKMrJEkIkPPPUVzz2xGQAevZMZ9z4Xjzx1NXOZu7aKWsVAQ3A5s1bePjxv/Luu4/QoUMGky5NICpyF5mZ84n990zuLNzR3F1UgpAQwvwjcA41/5h6A0eAKxqRTiWEaCOEWOqdtLtVCPFX7/anvJN5NwkhFgkhon2ec58QIlMIsVMIcZ7P9oFCiM3ex54TQgT9MHLAM5irAxvd4WluB1KuUYGNclIEYGhEA45JKQf5tHk+h8kGsqWUv3rvf4QnwMnxpprhvT162t+QcsK2ly1iXcX7RJkkI6JiOCcujBEhNzB79sMqsFFO2tV/OuvorDmXExUVWrVtxn0Xs3DBLwghOjZj105Zswc0M2fOREqJlBK3201+fj6rV6/m4YcfJikpqcle56wRA7j77ltJS2tL3JpXGH1oJZGRUVw8Poz8/EXMnz+JWXJTk72e0joMBHsHILbWdo0aqWcNVRFxAXdJKbsDw4DbhRA9gCVALyllH2AXcB+e4/UAJgM9gQnAS0II7/UNc4HpQGdv8zdhuMXyPa/Ubtdcc83peVHN7GlQFdRUBjaKcqJONeVMSnkEOCCEqJwfMxbYBnwGXO/ddj3wadP2vOUaPXo0s2bNOq5NmTLltL1mepiTlBAXuoRhMSGMCplWFdgoyon47Mu7pcPh4uJLBtbYbrGY+NdzUxj7h16ZwfwlaEDkzBUWFjJhgue6KyoqigEDBnDrrbcyffp0JkyYwLp16075NV5rM4QHHD/SoWMsaZd+gfHAf4j9aD5zdSujRmTQuftEfvnlP/T+aCSbr1h5yq+ntHxCiIEpwMX1PB4FdAVSoQI/VUS8eeyVOe0lQojtQJqU8luf3X4BrvD+fAnwgZTSDuwVQmQCQ4QQ+4BIKeXP3v69DVwKLD7JtxjUfM8rvjIzM5vsNYQYVB2wGMyeIEYzV4/UaOaquTXCeFaTva7Ssgma7NvGO4D3vBXOfgdu8B76QyHENCALuLJpXqp1sNlsvPvuu8dta0ozZz5YFbDcmfkqz3e+EYsm2VRgolu4lZ/KjtA17BJef2YVU+9S5xWlYUKIiD59Mvjqm3vqfHz48M50757KHycP0wnSqmcBEdC4XC5+/fXXqvvffvstc+fOZfny5SxYsICuXbui6/opv47RUIjJVMzyDyfzoRzCdaGhXJ8QT5ete1jfw0TnTp3o06cD+ttH2Dql6S56lBbr6gH4v/DoBXwIeHPbffPb59VKDwHPfu3wTMf5tdZDU4EF3p/T8AQ4lbK925zen2tvb5Vqn1dOO2+ls6oiAZq5xsMqqFEaq7IowKmSUm4A6qqCNrYJDt8q6bpOdnZ2wzs2kT9G3cYdu1/iP51vxK5Lhsbb+aoiD4GGS9pVUKM01s1TbxxNcnL9pcz/+ciVjBg2i5um+T+Q98vTEsANuKSUg4QQsXiuUdoB+4CrpJQF3v3vA6Z59/+LlPKbU30zdWn2lLP6FBUVcc8999CpUyfGjRvXJMecbbiE4uKj2DL38KdrLkdfkMVDvc6m37VX8vYb9xEdE8OTTzzCFVdcTu8XVOEXpUHCApj8NDOeXHcp5Tw/ue6egwkRDnwM/E1KWeyz/QE8aWnvVW6qoy/Sz3blNDquVLPuAN1ZPUrjQ1VBUxqrkUUBlBaqslSzy3sG/8eBFcRaBBsKrHRwd6RcL8Ahy3HIcuY9vbQZe6oEiYh27RP87xARgtXa6HXBx0gp+/mUjZ+BZ32rzsD33vsNpcg3qYA+Jy5duhSn08mwYcOa7Jjfj3qSGTfdSGHBDt4aDh998jH277ZwR2IChjWfMrF/F8yagb/cfhvnv5bRZK+rtEwWPCvV+WuN+SMTQpjwBDPvSSk/8dl+PTARuMZnLYlsoI3P09OBQ97t6XVsb7UMBsNx7XSoEdSYwj23urdojKusRmCjghqlIU1Utlk5TTRNq9FOl5kzH8TtPe0X23YSY9aJNktSzBb6MYg0uuCSdgSaCmqUBuluJ2633W+TJ/8d6CXAW96f38KT7l65/QMppV1KuRfIBIac0hupR0AHNA6Hg2PHjjVpcQCAsVvC6P/wazzRtTtTu93Ary+s5r4hV5JuMnHj2aP47MMFUGHjhinXMf/L0/K5Ky2ElVMPaLyT8OYD26WUz/psn4BnBe+LpZTlPk/5DJgshLAIIdrjmfy/2jsXp0QIMcx7zCm04gm/8fHxuFyu41rbtg0vWHhSKiuduR2gmTxNd1bf+lCFAhR/VEATuEJDQ3nooYdqtA4dOpy21/tfyVwApsbfzvO5P/B87hf0iXFTJCsIk1aE0HBhB1CFAhS/dOnErdv9Nil1hBDT/ZSDB0/mx7dCiLU+j9W3vlUacMDnuactFT7gz4lNWXBhlixnlghFSrj2imsoP1bOnO/+yT/+9iCFriJ67LbzzabPGFxWxoYFH3D+ddeROHYsf3s5m3/f0qq/6FbqYcSTWuZPI/4PHgFcB2wWQmzwbrsfeA7PINAS79/BL1LKW6SUW4UQH+KpWOQCbpdSur3PuxV4EwjBUwygVRYEAE9RgD/84Q/HbT90qGn/lqVcUz1C4zt/pnJUpjKocZV5Ax1VKEBpWEB/29iK2Ww23n777Rrbjh071uSvM3v2w1VpZxZTKm8XfMD1MZNZWPodOoIb2lh48tB+0vUuVIhyCjhMStgI5j29lOl3j2ny/igtgHQjpauhnfCmxB+XFu9jhJTykBAiEc/1ib91T85YKnxABzQWi4W4uDhycnJO+Vj3FpVRVpbHHbnriUvwLIFY8fUMZp8/i6ytB9B/d7Nyz0/87fqbeHnLB9xw3XUsWbiQhKuuYtr1UxjR7VeuHK2GdJWaKlPO/GnowkRKuZK6/+i/8vOcR4BH6ti+Bk8tglbP5XKxdu3a0/oalSMtvkFNVUqZKRycpd75NE5we75FRXeCMaxqXxXUKLVVrkOjBB5d15v8S5HaKkdafIOaRx95hXcKP8bhOsJTR+De5NHcmtCRPIeBJQUQJjuRpe0EYO7T33Lr3eNPax+V4KPrDnR3AxX5ZMOxhpTykPf2qBBiEZ4UshwhRIqU8nCt9a3qS5FvcgH9JdCYMWMwmUz8/PPPp3ysckceBoPkm2++ZEa5Z72ZkAmPM3/BfNZtXQthgnNiR7Fg4QIyMiNw7DvEpRddRNLuAxzeu4/RI0aweYuqbqnU1BQpZ0rLUBncCONZtaqdecfwDJbqoMZVVv08NadGqUWlnCmVKoOb+x+4GYfrCAYtit7iLN7KPUSZSyPSpDM+JgYNjQy9K1Lq6LjVnBrlOFI6kbrNbwP/FYWFEGFCiIjKn4HxwBbqX9+qzhT5pn93AXytFRUVxRNPPMHu3bv57rvvTulY1+x6lo3PZ2C17uOKK7rx/Q/PVT027ZZpRCZG8vu2PfTu1JthrqHs3LmL116Zz7cffkNaahp5yzawa/NmMjLaYiu7n+IDd53q21NaiKYqCqAEHynXVC2eWdVqq1xs0zsiA9Qb1Kh5NYovVeWsdZo9+2H+L+52ksKGkRg2hMSwmvN4LaYYtot1ZLs281TO5zjcApMmGRMbCUB72RMAHTdvPfObmlejVNPtSHeF/9bwCE0SsFIIsRFPYPKllPJr4HFgnBBiNzDOex8p5VY8q1dsA76mZop8kwqIL3mMRiNDhw4FICIigoEDB3LrrbcSGhrKhAkTTnkNmks7F8Mdd2Df8xpLNMEF49O53PkPZpj+iRg6i/lT2zJ20FhWb1xN+9QOZGxqQ88jPQkbH4Yo0miT2oaezg4su/EHov4vimHjz26Kt620AAYa/iMKyhWqWgDf84qvAwcONE3KiG8A4y0IUJl6VrXgpu8+lYUCnKWeoMZgqV58U1F8NNU6NErwuSzyVkqcktHGASwoegmA2bNXM3Pmg1ULbrpNqVX7v5bvyTi5LaE3Y2OjWVJQQIrswC3pkfwjW31JovjQddAbnkPj91Epfwf61rE9j3rWt6ovRb6pBcSXPNHR0fzyyy+sWrWKhQsXcsUVV/Duu+/Su3dv1q1bd8rH//ubS3j1+efJ7NgfiyWSxx9+hM17D/Kq4wEApr2+n7apGWzeuoUKWzmTJ02mW59ufDT7YwpyChjRcwR5P+ax27SbThs68+wtT1Qde3/+Xxt8/YvXvkKPD57m8k1ncJE/5YxQKWeBq/K8UrvdcMMNTfMClVXNDGZPkAKeyf6VqWe116epDFwMFu++9ur1aqD6GDSuCpqUa6qa0vKoEZrW6ZPiuRgFLCh6ie5hkwCItHatGmmZOfNBLIYIQoyxuPUKcm070HFzsNyAVZOMi4nh7IhEXjiYz12Jwxgecn3VsRszWjN79sNVTWlhdAe4bf6bPPVF7JuLaMTwUvXOQgTlIn3/+m0iezdv4ci+faTddhuxoSH8tG4dkUePct6oc5iW7PkWZOZQwR8v/CMVueUs/t9iHNLJDbNvIMwQhrRL9u/Yx+Deg5n5+SzCfw/jno3VKSOzn4sjY/hwlu3YQcdzx/L+t99QWBFFu/aDSErqyaZNeURHd+JYjguL20KsNQ5XsQvHMQeaU8NZ6MSKlfWvXFrf21AChJRSAAghnnkG7uzXwP63ALu8z1GOF6znlRpzX3Sf6mbeQKeqSEDtkZrKhTdr81ZA8y0S0FTBynHBlRJwpM85orOwyn/TrdvoCAAAIABJREFUcHnxiexa67OwneIjNTVVTp9eu9ps4Nvyr3ws3ooQqx37cQkXuc5Myux7gOoFN2fPfhizMRmjwYrAQIaxD0MsqeiALkET4JaS9wte4ZVuUzj0x+pKuU0VrFT2RQlM8+bN49ChQ5XXK7MXvD3+ofPH+z+vjBq/iPUbc4PyeqVVjGpnde7Fbf0H0HfOHG7IPUpKt26c1SaDotQ0Nv5cfVEy+1dJrw5bGNF/JFOnTiUqNpon3niCe/9yD5pRY/BVg5n7n5dhBUx7/0au3lbGq9tfI/nyEQwOj2HR+vUcKyqibVEhlw8cyNbycnZn7Wbo0KFYLJEsXboDTWziimvu4bvvNkBkOHpKBKmxqWRuysSSaWHYtMUkhCXQNiODF+5O9POulEBQOULjj/omtYWqnPiv1wpWKh/zEmJQzeBHM9cMaCrn1HhJ2xKwxJxYX+qav+PTT9/ASAU3gU9VOWu9Pi5+iT/F3MYK5w4MwoRZmkkyduEIbsrt+6r2mznzQZ56/F3MWjhOvYJs9xa6OJMReAKZjhEGTBpc5LyJuVlFpD6dy1dlr5xQXyaE3YxNd+FCIpEIBJo3iXp5xfwagZEKboKAbETK2QkMcgSaVhHQ7M3ciqVvP145dww/LPyIVXiWMb3h6qt5bdKGGvte+d8trE3pQHJcCgcPH2TMOaN54sknGTlwBCtn/cR9/28Gy8qWsf27beQ58mA9DOgTSa7MZeqkC1n52RJCt25l76HDxOblkQR8vWU55owMigrL0bRU5s59mm7dzkHTBFLqHMk9QnhYOJFnRZKXlUdCcgL7nVlc/MJahC749C8DmuNjUxqhKco2K0HOpwxz7dGZSsJ4Vv3VzCpT0MCTdlZZ7lnzSWnzF7A0pNZzK/uhykUHNnXeaL2cOowwdiPB6gkenj/yInB80PD3Gdfy+KOvo0snZkMkpW4XbqljEBpbi3QMQqABF8VFs/hYCZdG3MomfR/peirLK+YzMmQqRm+AYseFBSMGUf1/nltKTMKALt3H1b4aGTIVDYEbnQrsfPD0Zpw4uO7ugaftc1FOjdCdiFpfoB0veFPOWsU5843wTux683ue+mEpsWGhpEt4cPgwzk9M5LGFvdhReGeN/btHDmDR3E949813WTZ/Gbhg3JRxPDjjQb5Y+wU///oLuStzWfv1OsgH2x4bv/z8K2GHDRSXlrBj3z525uXhio8nBygFtmVlYQ1JoFv3/vTq1QtNcwAubBUVOJ1ONJOGruuYQ82U2EqQQlLhqCA2NpY7/pdL1IBnmuGTUxpSubCmvxaUY7dK4xjM1WWZXWXeCf+O+ue2VFY2qwyAKv9xqbw1WDzHcJZWj/acSjDjh6qsFrhU2ebWbWHRS2x15GIQkFWm0y/0anqGXl7n3Ba7M4d4Sxec7jKW2T7EiU7XCDNO6aZNqBGDEPyS56Z7SBSagIkRHXCjMzRkChrCk6IGWDGhAxoCi9BwS51y6aRU2nGjY0LDIgwYEBi8IzUGn3/dNO/l5HtPr1fzbwKUcDsRLrvfFswjNK0ioLEVVzB29B9IAkzpbaAcLpkwgR66m5w9vxMbGsrOnNsB+OXi81m1YgUTJ03mpmtvJGJgBGSBrcyOIUNj8xdbwAUDLxkIu+DWG28ha9sB2Alz/zUXR5mdUJOZMIuFdu3bMXbkCC659BJGDxtKu3bxhIbquFwF2O1lrFu3mooKJ44Kz8VMYWEhYWFhFBcXgwHiEuIwWDUwwbWzr2XYrMWMuPpbLpimigsEClW2WQFqpp358F14E0Ot8s2VgVBlxbPaP/sWDDhd3I6qwEYFN4HFoMkGm9JypYlY9pS4KXe7MUoDO+3Lqh7zXXgT3OTZ9+DWK7gi4hrWuL4BoHeUlZ2lNmy6zogEjTKXTrdIwdZiB5elmtCRWIUBk9AwCQ1NCKzCgF26ydXL0QEHLlzo2HHiRmIRGhbNgFFoGBC4vWlouncapBEjGhrdwybx0VPbVXGBQCPdnpQzf00FNIEtPDScOQ/N4dH772OYtHD5/X9l9ePzyC8u4em77iZCCNrHxpCz73b6Dx7AWYMH8/7GV3Hk6xQvLWHq5Bv45F8f47K7efClB5n64FSkdw3Uzes3061DVzKSM8AB6W3S6dW9G107dqRLaiqhxcXkbNnKsX37KD6ayc4dvzJ+/DmMHOmmV688jMYv6dTnIElJSRiNRpCeNXiklERGR2CNsOLAiVO4iI6NJmN8BksP/cB1f9vNXY8WNe8Hq6gqZ4qH7vQEKJVBiM+oSp2BQtVcG59AxjeYqWvfRvXDUbM1lncdHRXYBAYBCNFwU1ouq6ZRrrsJMxiIEiH0N1+Axadcs2+gcG/KJMItaRx02Bhrvoj1xaXoEgZEWwHYW+KZkeWSYBIaOTYjo2IiCDcasGqeoMaAIMRgwCIMRAorBgQWTGgIRkZH0SvSSqLVSJtQT5Ka5k1n82XAiAEjRum57Rd6NUNDpqjAJkAItwvhcvhtDZVtDmSt4lpL0zUeeOUBfvrhByaOv4g+egzXXzOFrG1bmXPjHL5+/3P0cjfh4eHk5h7lo30fMW3w7ezOzub/3XInh/cd5qrBf+S7V5egZWm8/trr5OuR3DPjHlZ+/xNb124la3UWf7n0DuyL7ax6aRWOnw9xjp6I+afN9NyZybmlpYx2u5kYo7Pk1Tt47735hIaaCQkxsWvXLvYWfoItdjv5UXsoaZNPdmQ2optg6eFlHDx6kOKiImJjYyitKGXyNVdj72LH0c3J2dee2qKjyqlRIzStXI3qZT4T/V1lYC84fl9DdRW0qjLNBkt1IFM5auN7TN3pOV7tYKWuVtuJ7FvZR5/S00rz0YRssCkt06iQaYQaBbqUlLndWISGRDLecjFtws+tse9dqbfxzwNzKarYxk8Vb7OXo+zRtrOxuILfCssZGGvkw9LPCTFoRJh0inQbB8sFZS6BU5fEmg20CzMSYfQkMTqlm2ijiViTmXijhQxzOIUOT+U0qwEMAjpFmOgcbqZLuJVeESEMCYtlgDmVTiIJTVb/i2eUBjQEQ0Om0C/0ahXUNLfGBDRBPELTKtJww/o8yUN3wT8e+AdlRWVggoN7D7H9qzXMmjOTgwcO8tqD8zm64yhzloD8YhafrP6EQT3HUhQSQvseHSguLaP8kM7f7pzDY3P/zhv/fIPfrBZC3CHs3b2P88dPYN+efZxz+Wgq3rNR4i7h6yXfYAwxUGhwYwsLp0vvXuw4coS0jh2IMZvRzQ6yD+ThdGnougldd9KxYzJWq5Go0GiKyorp17cvRqMRo9HIkeU5xMXG4nA5CI8JR5ig16W96DnpELYYO2+e2765P+pWR1U5a72qqpfVLsHss54M5UfAEltdFMBe4KlgZgr3TPp3lXlGZkzh1evSQM2Rmsogp3IUqKn4lpquzZuKhsGsqqI1BzUC02rNnPkgPz55mMM2B0bvBH2DEHSyRGI1CEbL7pRFdsUtod+dceS+XMC40OksKZ+HxEUbmUCuyEJD8IvzK/o5L2e85UKsBiiwa6SYPP9i5dokw+IluXYodkK7cDhSoRFvsRJm9IzmuHSBJsDmhkKHxKIJwk1g0SQuKXBLcEvPd/puKXFLSTKxnuNTDIALHZuw4RAOOoSdz/xnVpJdukxVRWsGnjk0/kfuRRAHNK3iWuupzVcwPwwe+exdjBiRTklybBLoUFFWwZ7te+jSqTP3/v1eDq+5hZkzZrHxt01ooaG8vuERVojl/OelZ4kfMICzRo/mw+c+JDY6hjBzOH9/5u9UmJJITUgje2U2r9/1OiNGnYXcLzGEGHAZ3AwfPoxRA/rTMS6O9hERdIqJIdxux71xBdMv70952U+kpR1h2LDRGI3hREbGkt4+l2L7RkT4QcITC7HGHaOk0y7WiC8oLi8mNDqMUnsp0qgTnRhDvCGOy77cyA0/7mvuj7tVEQKE5r8pLVPVKEZDQYarDOlYdvz2yjk1llhPsOIbxPhWotGd3qpnprrXr6mtclSnsvl7rHL0x1VW97FUGlqzEKg5NK3V7NkPk6Pl0zncgkEITMIzcd+ieSJcpy6JMHr+YZn/zEqcOhRLW9Xzvy2fhwkrG+RKYiztyCpz45IShw7xVjc5ThtuKekWJZnYZSd3jvqJrpFOTBokWSV9YuykhriINElMGt6ARtInxk1GmE6USWI1QKhRYjVIDAJvChqEGQ0kmE0kWUwMCo2nb1gUduGgTJRSJoooo4AKvYjY0L4qDa0ZCKkjdLffFswpZ61ihCYiPoFpt9zMss8+o/Oi/3HFxVdiNJqgHGyFNowhRn74YilxmXFscW+l96heVPStYM3GL7npvht59bHXSLs8jaXb5jE8YRI9hg/nPy+8wAt//SufP/8Z7WMEX3y1jNQ2EUy56TpCrCHcNvZWFn63kD/0G8t3T3/P6PPOYdnaryEaOrSLJ9qRT7bRiP231dxxVk9+3bOF7SumYE5MIDc3GiGGIeVwIsJDABe6rpOQEEF6WhIbNv7Cqt1fMjhtPKkyBV3XMYYbaRfSFnuIg9s3H+XF3moNmzPCTMMLRlSciY4ozab2ujKVDBZPYKKZqssxW2KqU88qbwHs+dX7+6ag+d7XndVzbU5E7f3rmqcD1UGNd4HP6uc7qtayUaM1Z47WBCM0Qoh9QAngBlxSykFCiFhgAdAO2AdcJaUsqO8YypnnxsWK8kN00ZIB0KXEJaHCpbPPWUR3awzf2r/k4pCJFDokv1a8TYg5gwpHFlEhPThc9hMAA0Km8bP2GwPkQEqcggKHgYFRobQLd7C31MxvB9rBATiv426iYwqxhlUghER3a5SXhBMRW4gQElOoDVNUGbrTiHRpOMtCcNksOMqtlJaEU14RwlPrugCe/28NQuDUPWlqXU1x6DKOQ84ydmtbMAoLNr2YCGtnSmy7mT37YTVac6a43QhXA1+KqRGawPXIkduYO3cukRER/HXECPKSNTQ0DFKDcggLCWNwlyE8cO8DDJg8gE7Wjmxet4UDbxxg0ksbiI+Mp11cO8ZfNI6LJ13EgdxcbLpO98GDWbhgAZ06d+Gyyy5j+549CFc4RUVFPP2XeeTl5pN1KItDOYfo0KU9P65bTmq3VCJDIjh29BjRaekMiIwlMTSU3OxsosLCcGsCNwKjwYrdbic/fylHcr6nuORn8o79RFTkYcLCssna/xkXXpCEoU05hsFO1oqVvDjvRSxRFkIMVhYu+pCbNx5s7o++dTDjyTvz11r8X1nrU2PEQnfUHKXxDUbAE8wYLJ4gwVlac/0Xd80CAnUGG7VLO5+qyqCodtNM1aNAtUdsvH1UIzVnThMWBRgjpewnpayMRmcA30spOwPfe+8rAaByxEKgcU5YKmmhGgbhmYBf6tIRCDqao9EEXBI6kT2OYmLMgj/F3MY9900BIMKQiNEQh8mYgMv7bfsGsYEwo4YuPQFHmctApwg7RiGxaDpxcflExBcQElOMKdRGaFwRSd1+R+oaplAb5pgS8na2RTO4EZrEZbNQVhRBSXEENrsVm9PM1C5HuKnrEaZ1OcSN3bK4oUs213U6gltKwo2CKM1Kb70/BkxI6cYtnVjN6TXet3KauV3gcvhvKqAJXCEhIWwBvnrqaWwuF1P7Xsybr72J7pKkZ6RjxIhZmJB2SUlhCXEd4ukc04n777kfgJevf4Uxl42hXdt25B7MJb1LFwxuN4OHDSMrPZ3HNmxg+44jpLZrR5c+ffjti21EaHBo30HcZp1tu7fze9ZeYuJiyJKH6NKzC+PPGUeyJQxpMSBzc6k4fIT1m7cQnZSMxRpLQmIKR48eJTo6HJfLRYjVSlJyPJqm88WXH3PvlamUb3+NlSteYN++L/j+u1dIPCuUzPI9/OuVf3Hdhdexbv167sotbt4PvzUI4oBGCJEuhLhbCPGpEOI3IcRyIcRLQogLhVDJcg1y+0yu9x2hqSvwcNuPDxJ8CwRUzqHx9/z61DficqIqU9CqAhtHdTGCqn6oggFnghANp5udQsrZJXjWlsZ7e2mTdFppEm3D/8BAcxplLs/clQijhlkTGIVAInHqEofb87tPMYSzprTm4Fp26TJc7jw0YcKOkyEMQsfNflsFbxX9ilMHg5Acs5lwSUGPpEM4HGZCkvKxJBYQmpFDSNujzF84iZj+mRhC7bjtZmI7HsBRFI69MAJ7WQhFRVEcK4qmoDScElsIbl1gcxlxuA243AYqnCYKbCFkhGlEmj1V20xCI1VvS4qhG+nG3pi0EADMxmQV1JwBAt2TduanqZSzAFZSUkIv4Obbb6doTyYGi8afJv8JZ4WDbl27MufZf9IpsiMGl5EObdpTnFPMeRdOYMeBnbzzUCfSRBpvPPQGJEDytmRieobzv8WLuf7mm0lITmbL0qWsiY/HZtzHqy+9RCgwcsQIFn/6NckDk7j0xkl8s/xrOnTugIgQtOvVnt87hrDtX0soNcCx7IMcwfOLSExMoEKaMRqNpKUl4HJpREWFYbEayc8/Sn/7ahzjxvDCV9/Rr/8FtGtfwPNxv/HUtHuIiYnFbNYZdmEnPt/xBleOvZVHnn6EsCefYOLEiSzo0bN5fxEtlYGg/CsSQrwBpAFfAE8AR/GEX12ACcADQogZUsrlzdfLAGcw118trDJ9rA5SrqmZbuYqq7kmDVQXFrDE1CwyUBffRTlPZhSn8nm+AZUpvDpIq7p1eAOv6qBGpaCdPo2sYhYvhPCNMOdJKef53JfAt0IICbzifSxJSnkYQEp5WAih8pMDyP7S7+gQ0o5wg5E2YQZ0DUAgBByxuYkwGihxuQkxGNABE0bsbs8oR3zYQI6VrQVgjPkiYs0G9tsq6EE/NGCidRhOHbpHF5FnsxJntWE0ugBwl1sxxpYhwgSyQnLbzHcgPJI3n7uEm//8JnqFCc3souJIHE6nCbvDVBW4uHQDbunpo0HquKXGqqMJdIksI8bsJsdmwKIJVrh/I9QQg4aGSVqwGCIxhfYlv3wjFlNqVVCjUtBOE7cbWnDKWRBeip2YNikpuADNbPLcYkAIyZwvn8B42LNPpmMPZMPOXTuZfd8sDv12mMIDBYzsMZI3PnmTURPOZuSgs9n50w4+fucTLhwwgHKnk6Q2bfgdiPv9d8KiutJvQBhmezk/b/yJ/oP7sX77Bl5++mWS05PZWLKJY45jTEy6kPUrVnHMAIV4WhkQn5xM+8RENh84QHhsKkePHiQ9vRfRUWEYDE7y8w9hCIPUw1+Tk5NDYkEeg3t0JCo8GovxGLt2Z9O2bRpnn92ewsIITMk7GTV+FAaDJFyEw50PwbNzmuvX0HJVjtD4E5hjHc9IKbfUsX0L8IkQwgxknOE+BT/f1DPfoKBSZXCimatTzSqfYwr3edyb+mUvaHxls1NJSfOdv+N7PN9FPiv779N36VpVM4VOaRKV69A0wjGfVLK6jJBSHvIGLUuEEDuaon/K6WXDiXRLrJqGSwr22JxU/u+Q47ATrhkpc7txS0koZjQBE8JuZpV7GbGhfdGlmx+di/l3m7FIKXg3S2JA41fbIc6PTGFTfjQ9oopJiSgkKrqIsKgSyo7GYgix49wbhjmuCM3uQDPamX7rWzjzItDtJpxlIZQVRFJWFuodRdS9I4VudN2Ip7i0oMJpQkrBpoJwAIwC0sNAFGl0dLdnp7YDAyZiScUgjFSYCzBqFiCVMFMCLz69mNvvPr+5Pv4Wy7MOTcsNaALzUqsJRWiCcCAuLJwBBzWEFGi6YMaMGdx5951ktMvg7nvu5top10AszPzLLJYv/5Gf1v6E3ebg0qGXMLbfWHat3kmvUb055+xRfJOZT25hIaaQEO69916uOas3bTt14nBCAtu27iA+I571mzdAOOCACmcFCQnxhIeG89W3X2Fz2IiOjyc6OYnYjDbEp6fTq3cvXBUVpMXGkrl7LRaLxOksQIgy7LZShLAj7HaEy0VfNtEpLQ0r8D+zgd3/m063boLnn7sdo6GUo0d347D/ztAhJRw9uoo8Ww7X3TKF67ft4YLlvzbzb6SFCdKUs7qCGd9vaqWUDill5pntVZBqqPKYZjp+4Uzf9WC0WuvSVDKFN+74TcU3mKmsula7CIHvmjhe0rXKU+JZaTqiaaqcSSkPeW+PAouAIUCOECIFwHt79DS+E+Uk6EiGxVkwamAxSCqkCzcSCViEAZeUlOsu4sxGjEIjx2HHqmkM084hVqQTqsWQaO7C/tIQPss2YUJDE4IkPZYe0eXY3Ro7iiMRQpLcfyfmiHKiu+/DdiwaqQtcxWGUZqZBuQM00J1GSo/EUZ4fRUV5KA6H55xlNLgxaDoAbl0ghMThNuDUNXTve3HonlBMEzA1eiiDYy30pRf9De0RaFikle6GkaQaehBr9mzTMPDq0z8y7+mlzfDpt2BuN7hc/lszxjNCiOFCiBeFEJuEELlCiCwhxFdCiNuFEFENPT8AL7WalsHpxAiEagJcnuFZk2aibG8h1mQL1/7pWv73+v+Ijo7h0j6XoMUJzr/wAkb3Gs37D7+PI9PBzBmz+Oj9jynbWcqva3/nzvPORtM0dq1cSZymYY1rxwW9emE0GlkNrNiex9DLh0A0EA9FriK279xBaWEpeoHEpBnRdR2MJmJiYujfvx/hViv2sjKk00lsdBSxsZHEx4XhdJYQHiEwfjmX0tJSHvthD+0n3cvMT/aw6P3/8tG77zL9mj8xVP7KUNZRYdtCj+5mvvv+Y5566l6GDpFs3vw0h458iUMrxxJuYeTiJc38W2lBGhPQBOB6EkKI2FotDlgthIjxVkFSTobvWjG+oxq+hQKcpTWDF93h2dc3gKmsaFZ7W1Pz7VddFdQqK6zV9VgdgY3SdE61KIAQIkwIEVH5MzAezwjsZ8D13t2uBz49fe9CORkaAt17YWkSnvtOqeOUbpzS/f/ZO+84ucqy/X+fU6bPbC/Z7Ca7aaQnJCFEeksAKQoCIgKKgj9AFAVUrGDB99UXUQFRpIlIRwQiBAwQILSQCunZlE2ym2zf2elz2vP748xkJ8umIJFAzPX5PJ85fZ4zZ+bMc537uq8bG8mkIh9R06bSq6MiiNsWpnTYmHoFG5NTA4fwaleaIytAEwrFmk6110uv4eGIqg5sCRu7K5j391PxVnfTu2YooUOaCY5rRQ1kkLaKExUI1UEIB0V1cGwFy1LRNAuPbiGlwHYUbKngUW1sqWA7Cu/1FONIaM8INsQtVsdMbMclN1lbMDykUeUXHBOo5bSyYgL4KHaKOCs0mRpGMElORhEqHuE/SGr2JaQEx9l920+MRggxB7gUeAFX9j4IGAv8CHck9bQQ4szdHeOAJzQ+VSMIBBQFr+rFSJtgwB/v+BN0C9Y3NjJrxizC4RA1tTV865Jv8+orr/DM7Nlc/durOWzydLDgx7/+ESvebcZnGPz1wQcIbdvG+jff5Fe33cZ377qLlsZGSoNBQpqGlJJ3l70Lg6CqvoqqQ6r40rcvZtaQmVx65aWcfOLJnLnoML437GRSsRj1T77HVf4Sznmll3s9k7h2ZZrLljZyZvO7LHjnZQwjxsUXXMCb/nqeuPI0TvZt4alrTmQxwxh23lU0r1+PlUxy6BU/Z1hsDYqS4tSZQ7npJ+dz/703MmZMmHVrn8S23qC2biuvv/UyF62fzYWNz+3vy/PJxz6I0Agh6oQQ84QQq4UQK4UQV+eWlwoh5gohGnOvJQX7fF8IsV4IsVYIcXLB8qlCiOW5dbcKscthTyewuKAtws2pWZKbPoh/F3niUUgACqfzJAUGLmpZSIgGkpH1NwEoJDpmcufcF8d0lxW2/sSo0Bp6IPJSGFnKr8sTMsfsizTBwZo1+whuXQ+5x7YHVAGvCyHeBd4BnpVSPg/8LzBTCNEIzMzNH8THCFnMXLFKt8BlFpM0BmlMZlZpZKVNuddmQrFKUINKTy5iIhQ+F/kSHhEgbYGFjSpgYrFGXVCQtByakjoB3SBjK5QHkgS9WdQRXh5+7RiEB6iIoE/x0rRuGEqtB1GkMHfOTKIdZTv615MIs7K1hk09ZbSlgvRmfajCjclkbA0pXfJS5oURYY3REZ2Xe3tYGE1hOO55NSUswpr7HT69WufY0hA+RWIJi5Q0ma6MYYY6CoFysGbNvkJOcrbbtv8kZxdJKb8qpXxGSrlNSmlJKRNSyiVSyt9IKY8DdvvU7IAnNCFF4MNVf40aNgocsA2H713xXTKpDBXllUQiEdJtaTweD3Pv+Re+Th+Ug4jC/PmvcflnLye5McXy1tf5/IUXcuqxpxGuqaF88GB6EwlOPPlk5jz5JBsee4zNlsXJM2cyfvh4tswGI2VwetnpPHrNY4w+dAybZzcRmxvj+edf4J677uEnw0/k1Jmn8OTlf2dIzRAcRzJ02FBaW1uJLl7PL22LGc89Rva1RRzetYraJU1sbFyHbtvM+NQYPlduU1s9iFNsHyvu/Ak/f/xx7rv7dwSlpFRV+PxJJ3LomDKGjxB0dL6NZUX5wYVbeOCvd9HU1Mmo+x/c35fok428KcDu2p4jNBZwrZRyDDAD+LoQYiy7sFfNrTsfGIf7JOMOIUS+Gs4fga8BI3PtlF2853eBtcCZUsoGKWUD0JybHvZBPoKDKEB/ApKfz5OLfD0ZcElBoeRsVxEYRd/Z2nknMmG+f7rwWAMZCthGAcFJDEyc8gRG0XdtNpAnNzsRqsRBJ7R9BFXZc9sdpJQbpZSTcm2clPKm3PIuKeWJUsqRudfuj+J8DmLv4cf9/eVrER1ZHMIUFg6SlK0ws9JDQHXoyAgUAT2mhU9RiWgatpQco4/h7WwzNg5vdSrUBw1GhTP4VAUBNEZLOWdkI39trCHsT2OOnMC5h78NRV6a7htF093DKC3tYeujY2h9biyWraAoNrFeV6a2oHUQhq2iKQ4B1cKj2nRnArSn/XRlvbRmFCYWJ9mUcHacQ1D6mFHix5HwRPJtGkJuCrdK0Tx+AAAgAElEQVSUgi5DJWYKoqbg5EgNM0r8tJtZLAmnBSYyIXAuPk/tQVLzYWE7eyE52z+ERkrZWTgvhIgUqkgG2qY/DnhTgBAw4zNnsnzRIqq08fR2RVGzGqWVJZgJk6AW5PeX/p6rbrmKVCbJsV86jtt/fTujakeR2p5iyglT8UovTsrh/MO/yG9u+TUZC8rDYdbG40wLhWjr7EQFbrjjGnquvIWH587lqHoYf9hhfOH/HcbiWxfRUHMUc+5bTG0kwryX5lA5pJJxzljmXv8vMkaWE2edSPf2bt5ufwvbb+OkHIRQ6O3spai8iLdXL+DK867Bm5Ec7Qxhy52Pc9WZR/PbOXP46Rln8k5PN58aM4YvT5pMqq6OdE8PXZbJtHHjoa2NQbpOcbWDlZxLl8/HlKkORdYdLNh67H6+Qp9w6MCeXHP3QGhyjkN516G4EGI1brTkM8Bxuc3uB14Bvpdb/oiUMgtsEkKsB6bniuhFpJRvAQgh/opryTpngPe8WQjxCPBbIcRW4AY+yX6N+wP2LhzOBnId6+9iVphsn5epFeat5Of7b5vHjkKbBdbReTgG0jYQORc1uTuXNBNEoaytkMAUkq+BSE1hNKfQGW2gqNNBfCC4krKDP8f/RlQGp+NxVGynT1aYdQTHFZXiSGhOwqCAm08zKmKRsRUaQtCSUlkXt7ClpNs0GK3VsM1JIIAuQ6PaZ/D5+h7e6SxhcDDBpq4Krpu2ku09ZYxvfBHdX8nT//MZJtVvJFIWZeny8ShCEvRmqArHWNs8hDfbKhgcyBLRLXoMD11ZDwHNxqM4O3JmVCEZU2TQknbdcnyq5L0emwnhAJ0Z8Kgwy3M4PYZEF4KQ7tpTGw6oAjoyoAnB2JAfrwpv9PaQVTJcU3kmv2y+Y39ckgMHMi8r+/hCCPH/gJ/hliTP3wQlsMcHrQc8oQnYDk1PP8O3zv0emqVTVlJGKppGGpKWDS3U19Vz1ZVXYaVNAv4gmWyGH3zhB3SVd+G1vaSaUzS1b6OhbjBvLpxPdyBCqRJj1hdPYsMf/sGVF1/MI0/dQQa45cpbmDykls9/aRQv3fMyZZWVbHl1Mwt630FsbWDrpk0EcMfAn542laq6atauXke4KMwzj83mU6fNwFANli5dRtHwIiorKlB1lWQiyXWXX8dbL79Je6qDdesaufSzX+We++/hJC3E30Iv40+niTY3o86ahT/Wi65pLHx3JfX1DQwZXMOnI2FWtbXTHo/x3JznOf/aX9PaIvnhKbXcGhrNMcdeQ8BfSW9HDc8ePX0/X7VPEPbS5UwI8TXcyEke/e1VARBC1AOHAgvYtb3qYODtgt2ac8vM3HT/5QNCStkMnCuEOAOYCwT2cCYHUYh87steb1+QJ1NIbBTdjWz0X5evTdN/Pr9NPnKjeJBmYgeB+SAQOevpPOkResh1VvOW7NkOuv+yfK5Qrn6NNF7pIzeq56DF8weE8jHMvTuI/zymcSiDghoJC3TFHeQHNIlHkcRNN9nelpCxFQwbEpbgpY4MKjaHl3qJGoLNSWi1ktRoIeqCCrqw6Mh6EEJSH8wS0A2GV2/DH0yxob0aokmS0QifXXoK6UwL0a88ysi6Lby1bjSDhEPC8BIzvFT5DRwpMKVgW1pDV8ABqnwWSUvDdBRMR7CyV8dwJNPK3JwMj6IQ0SXtGUm9VxA1wHQkXgW6DYeAquBTBVJCxpZELZMKj05QCg4NljAv3UNbRjAqeAbLbunibWcpKjrbkvMPWjx/ENgOWPbut9nLCE1OFbIIaJFSnp6LojwK1ANNwHlSyp7ctt8HvgrYwDellC/s5tDXAeP2FI0ZCAe85Kxl4wZ+8aMfIaTAzJrEexNoioZwBIMG1WAbDspIQe/zvfzyyl/S8mIziqZz87fvJBIJc8dDd1BTVcUD/3iaqYdNpTMW44sXf5NHXljOUWPH8shTd0AN+EbDhCPHM3r6Ibx018ugwTGHlTF3ocW818DatImvXHstJ11wAQng7ZcWMecfc9jWuY0N2zeAB956422WvrsMgKOPPooxo8dQVVnFoJpBbNm8GZ/PR+MbjVzzzW+j+lUu/dJXiVsJSl9+nWNrajj1rLPYNH8+5ZpOmaJy8YgRHGoaxF5+Gb+ms+Lpp5Dd3Vx20UXUqB28/eJcWje8w1e/egavvXoLpaUeTOU9Ll4/j0G3/XH/XrhPCvbSFEBK+Wcp5bSCNhCZCQF/B74lpdxdVdSBhjpyN8t3CynlbOB44KQ9bXsQHwB2ti9npb8ErDAnJQ/H7Fuvh/qiJYXHgxwByknGciSmkMzIvKWybeyY3hP6ojS57bM9ffk3uzIKGKigZz6/Jh9hyh/PNlw3tINStL2C4D9aWPMgPsYQQmA4bu5M2najFx5FIqXAq0oqvJIF3Vm6soKU7d7yJ0cCmFgs6M5S5pWMDOt40XGkJGrA5qTGYRUdPLhZYUWvj8XtVQweu57KsRs54/pnYFAFUgpWnXov8a89iO7PEo0WYUvBplgxmmKTdRR8qjsYNmyFoCYJazZeRWI6CllHIWMrmNLtk0BwT+cmbAmmlKyI2pR4FFb0Wmw3MnRaWZqMBAnbIuNIlqd7WJdO0GwmKNI0WrNZegxXsnaMbxgZG6bodSyTjYxwxmCQYlDwSP54878OStH2FnlCs7u297eVq4HVBfP/jkR+IGwAUh/sxFwc8IQm3t1NNpnEsSRCgsejY5s2VtrGq3mQpgQLSsvK+faXr8f2BFjc08NZ117L1752E9d88xou++1vaV2/jlAozI0XXsCj9/wB1q8nVFYG3UAMTj39FJZvXsGLi17i3VYQ4XF0y26WLV/OkMGD2V5Xx8PPPkvl4MHEFYXVHR0E9QBCClCgYngFE6aNR/Ep6FJDT+p0rO1AS2iErBDx3jgjG0Zx9vln4TE8eIROV2cXOHDG588i2d7Osn8+y9nDhzPByJJ6ZR6/vP+vzHnscdYsWoyu63zhoouZ1tCA1RuldNEi/nDmZ6gtKyOQTlPfUIGqrSAabUJVE5x7wQSq7/gm18a69vcl/LfxkTwP3ke2zUIIHZfMPCilfDK3eFf2qs1AXcHutcC23PLaAZYP9H4eIcTFQog8iTkLuDxnj7iXhU8OYq9gGzu3whyYPCnoT2AGivwM5HSWk5xJ242yyHxejjOwFK1/y+8js93vi/DITLe7LtXW9967MirII090+ru4FfT3k05sPqq+f1iXs4P4ZEJKiSPdsaeTMwUIqM4OCaKquLbOqxIplkQzdGWhNS05NBIijUF3VpDI3SYyjoNPhWq/Qzzr5eQqjTfj3aRsBT2SQo2kaHtmBN2PR/B4DSpr2ujtKWZ943BWtNXwbneITQk/b7RVIqWgzJuh2p/ilBHrGBZKMSSYxqfa2FIgpUBXJKqQjI5YjIrYfC4ynDc7HMyczKkr6xDSVDQENjYh4UUTCpaU1OtFOLnRdERXCKs63aaBADamMrRnTbyKoMgpo0jxMME5FE140fBSGZzOn25+8RNNbD6Svkvpys521/aC0QghaoHTgLsLFn8GVxpP7vWzBcsfkVJmpZSbgPW49vG7wveBN4UQd+aMjW4VQty6N6d3wBOaLRs3URwKoqs6UkqkDdJ20KRKpjeD5qioaCTicYSiUDF0KKWlpVhScubXv86tP/893/re95h2/IlIW9LS08vQMYdSfkiYmilhejOgtAn8XX4AljdBCzDzrBpm/88/OWHiRNpbWqgbMYLFa9bw4vz5VJSWUgRs2LCRUFEQX8iHsAWqqlJTPohDxh5CNp0lk87Q1txGW3MbilRQHIWuti7uv+1+/vKH+1m2dhnnf/l8jFSKY444gi8cfRKTRo+lwVtNPWU88oWrMYYMYWtREQ899yy/uvtuhpWW4XR382pnJ1ffey/N777LG489ysZVixgsW6gNv8X8+TfT0rKWc849BSHe5drYhv15Cf8tTOMjsuraB6YAOSeye4DVUspbClbtyl71GeB8IYRXCNGAm/z/Tk6eFhdCzMgd82J2bcl6H+4N6WohxAPAubgyt8PY+SZ1EPsCBeTBTZwvkI7Bzrk0eWlZIXnI58sU5tY4/UgMvD9/ZVfkZgDkIzr9IztC9SAz3X2ELN/vPAHrH0Ua6Nz6WTx/Uo0DpFz00UjnxD5xOTuITyCy0o1KOORcdiVkHYWA6hDUHNScjbNAUKp5iJo2y+2trI5lObo4TECD6eUZspgMD+l4FMjYgqXdxVxx+vNcMjjId77yEEK3yG4v5e43jqD03Bjlk9cBUDm0hayps7o3hKpA2hJMKIlhOAq64lAWSNIVK6ImFMevmZR5MyQtjbil0JXVSJgqSUshayuk7b4/P11RUARkHYlAsF1tpYMYrfRgOA4brShlip+ESPJ6pokmp4sy3YstYWTQR11Ap8QLx0bK0RUFG8lQu55yWYOWS2QdFDzyE0lqfvrTX3w00jnHAWsPbe9uK7/DNRYqTMjZSSIPFErktxZst1spPHAn8DKurL7QiXWPOOBzaMYOa8AjJYql4NP8SN0hbidIRlMEvQHIgLnZRFEUunp60CIRNrW0IEMhetNpJl77PZZu2cJbr7zC7Jdeoj4UYtyECRQd/XmGCg/Trr6a13//e/64sJHFzfCFL3yBdevW8dL/vETw+JN45e23Cagqn5s6lfXz5jFl+HBas1nWWhYjhgxhS89qIhURfD4f0w8/nMeefoyGSAPLlixj0rRJTD1iKq++9SoVkQqELRgzciyvPv0aU4+dQsPIBqwuk6AeQHameOAfj6A9BEcc8SkGDxlMoifB76d/gXOf+BXJIXV84corqC8uZkXDMIYJWP3ecsa3tjKqqorrTz+d2+/6M7UnnUTpRI2X3vwxJ3/mMp5/vodZM09g8j/uYObMU/m/UMP+vqS7xWPf/S69vb3ceeednD9iBLqu88Dq1Xve8d/F3uTQ7PlJ6pHARcByIcSy3LIf4NqpPiaE+CqwBZd0IKVcKYR4DFiF65D2dSllXhh7BfAXwI9rBvA+Q4AcJkgpJwohNFwOXiOltIUQfwPe3WOPD2LPKCAeeQjV45KFhHt/F4HqnevU7MhDKXAvK5SNFRgB5BP/Zf49FM9eEZfd93nn/YUeAsWDKCRKeambmQBvqbtP3kSgv+lBocSukLQpnp1Izcc9v6aQfH1UfT4YgfnvhJOL0AAusZXQmVUIaW4EpDEnRi7J/fYDqsJYp5ZVNLM2FsUjApzmjODSoQ7LemBI0ERXJONLu/iff5zGzy5/gGVzj+KBtcOYUpokaqg031PDE0vO4IT6jWRMD0MHbeNww8f2ZJASb5ZV0TApW1DkMfDrJrpqgQNB3SBm+PAoDoatYUmwpMDO2TZbDhjSps7vw7AlGUdiOg6KEIxyhlKiayy2NtMoYoyjgUbZwli1lvecJhwcAprg7VQrMwLV+FTYELfRFYEjJYeEfKxNZKiiiIgTZJuyHUOkqQ0dt4PUfNzzawrJ10fSZ1sird0zFsnuc36FEKcD7VLKxUKI4/biXT+oFN6SUl6zF8d9Hw54QqMLgbQlZtZCQ0WRCpFgGFNaSFMiDUnH6g7ISISq0djSwvARI9gej3Pfvfdy0SWXUFVVxfGXXEJzczMtCxbwj7fe4khF4eHWVqqqqjjq6qu57bbbmDVzJg8//DAAh4wbx5wXX+RLF13E848/zt/+9jeqSkuZ/eCDlAPf+fGPuf/uuxk2fDjbM9voXNaJd5KHWmUwg7Va4ok4RrPBE/c+wYyjZqBndESvIBaN8Z1rr2PeonkYGYNQJEzVoCq8tpeRVj0nn38yRtjg3t/cx09/diMLXlrAtJVw5nEN/OSOP/JkURH1vb1c9u1v89uf3kh1ayuZ6mq6WluJpNIk332PyMQJHDFxAi1rX+PEE49m6bJFzJo5nufm/IPvxJfzf+EJ+/eiDoA/f+1rhEIhpJR0dnZy6imnsKmpCVVV+fL48Xg8HrLZLPevXLlv33gvTQF2Bynl6+ya9py4i31uAm4aYPkiYPweegSgCCE84JZpAopwBZReXN+Kg/iwKHAgk2bCTd7PLzNdibBMtSK8uTqmhSQmt707P0D0JU8I+ruc2XlXstwlNFPvryOTNyLojwHcyaRt9JGZPInZsb3uRl7AjSr1d1PbVS2b/HnmzgHV89FFPj4gdhdFKly3r/suBCjaQUbz3wiJRBFgS4kjBQj3wXnCEmhC0GamCQgNU0qGBVXmx9txcPARICGiGDLFP5NrWRCr5sr6JP/aHiCgCdJWBS/0dLHgl+cxo9RLxoZew8OYohQ1R7zHlK11rG4fxMTBW8hkfAwKR6kO9+LRTLalAmQyGglTx5vxkbE13ugIE9YlSUsQN6HbsKkLqKRdroNhS7I5ZpYnaKbjisp0oZB1bJqMBId6hrLBiJLCooZKmmSUGd4Glmc7WJJp5ehQNY6EiC5RhKDEo5AwJXFTMqPUy4qojSUVap0aekSMmNJDfehkmhIvfHSRjw+I3UWRCtft877buBrG3UG6Ob/A+/J8czgSOFMI8Wnc0U8k9yC0TQgxKGdgtDcS+V1hXo5QzQZ2/Insjb38AU9o/FKgCw00sNM2K5ev5ImH/s51P7gO27RRDYW7Hr+LE8YfT8OwkXgjEbqyWR569lm+8eUv462qoqOjA6/Xy/Tp04mPGUPihRdoeeMNhh1/PP5AgN///vdMmzaNYcOH880xY1izejVWPM5YYF1rK6dfdRWhDRu4d/FiKiMRGpuaSKkqjUKw8PU11AOjRg3hjflvYAqL7k1dqKgYnQYjK0YSXRfFE/QSjFiYKYOtma3Ul9SzfdN2Qg1hCMI7SxagmhqqqXHvz+8EBW67/XZGTz6EY489hmd+NZsvnnoIm+q8tNfWMry4iN5Mlr/c/idKRtRz4mc+w4Xnn09WEViqyqL16wkfdhi20cn69bOBERx7zDk4zhJmvn4bc4/6xv69sDlMA374wx9imiaBQADLsqipqWH+/PmsX7+eoUOHEolE2L59O5lMhjNrakgkEiiKwovR6IfvwL6J0OwP3AOswRXN/RB4XAixEbcOziP7s2MHDNR+BMRM9s0bCZd8GAmk4nG/Io7huouZSZcA2Saoel/CfsFxZaYbHAPhLXVzXFQdsrnvs511/e4K0Z9c7C4PBkAPDnwuhX0ptHR2TDdak93Nf05h9GaAHKGPE6n5oHK4fU9uBEL9eN44DuI/C5/iDst8qsCRruzMp/YV2SzTvMQsEyklKUtjrF7BQmsTQRkiQAQFBUtaxJU4S3tqSVo2pw1O8ePNbaBAVmZ4L1rN5BIVS8LI4m6UYsmnTp3H80+dyl/eG8fnRjTx9MZ6qnwWftXGkeBXJWtifgKqj21p97tpOoKM7TryhTWF1rRD1DLIYpEUGbIiQxXl9BgWuqKgCoEQgm47TZHiI6IEiZoWRQQYGvASMx222Nt4w+xguj6KLUaCpfE4J1e49yNBziRBFShAzISGkEZAU1nUbVAmIziOg4LCiOBpZETyY0VqPqgcbp+TG8nOIrFdbbO71VJ+HzfPhVyE5jop5YVCiP/Dlcb/L++XyD8khLgFqCEnkd/NW1yQe/1+v14dtG2WSyRyjISsQJUaY0aOheDf0TQNxRYYlsF3b/oO8+99k2Q6Tdnw4XRnMsw44QS0khIcx6GoqAifz8fWrVtpbGxkwoQJ6FOmUFpaygsvvMANN9zAH/7wByrKyxkydCj/mjuXU085hffCYeJz57Jk6VJaO10Hui24wsKbbryRCO4FUACfx0v7tg7qDqmlY3sHaZlG9atIW1JeUoEUEsd08GsBPIZOd3c3vS29FI8sxm6zOWz8YdRXNWC0Zrni9CvoHNbB479+Av+wyYyfMZ5pMw7jN9//DT+6+4dcf99NbPR6OWTceK77xY2QzrBq00aGhsM4uod1W7cwvLycVFMTm7dt4ztnnEkgEmF5xxIyYhyTJ3lQ3vwao0adwG3l53/k1/SfN95IS0sL1dXVqKqKZVl4vV73RqYobNq0CV3TOOSQQ9B1nW3btuH3+1FVlWw2S1VVFXW1tRyraTjpNGQyDC4txQcEdJ2zn3127zuTz6HZHT6G4xIp5W+FEI/mprflatacBNwlpdzdzeYgYOAaNP1JQv+CmOBGMdI97rTqdYlNNuqSEl8J5OvHKB6X0Ngm0u7p21915VpC9SCzUWQ+ImPn8m36R2g+CAqlbzkJ2w6jgFwkZUfeTKa7bx9vyfvNAnZHmAZal484WW/uN4vnfZXTs6vjfKBzEiAO+AzXg+iP84uvJGq6BMLM1WWp9PeNMAUwNKjwXq8kjYlH8ZER4JcBfNKHV3opEn5S0qDBF2RNzGSNsp6lmx1MmaHOGYGKQhab1rSGLlSylsb3fvg1ug3BaYN76DYENy2pI6iBLTV8qkpAdaj2GXgVDVMKVKHmrKMhbTvY0pXKpZydLYElDtuUVgAqrHICwkNMZvDjocdJYzsO6+RCLi87kfeiFkFV5VOeYXQZFq9ZSzjFP5UjKlPEDNd4oC6o0Z27faRsiSXdwqKmI5hU7CWgShZ0l2JLh5jUMdUsNcGj+fPN89iefGO/EJt9ldOzq+N8kHNyc8j/YwOSf0ci//4+ukW+/y0c8ISm0dvIqK5RhMwQwlJQbAEWKI4CEm7+1W+45Ogvc/TRR/L0qjWUd3WhFRej6jq6ruM4Dj6fD8MwqKysJJvN4vF4iMfjBINBmpqauOWWW4jH44QjEf785z8TDAY5ZPRo5jz/PF6vl4xl8fMf/IBoNssdv/kNNnDipz/NiqVLue7CC5n7zDMMP7aBQw+fwrbFLTghh+UrlyNtSVlRGb0dUUory0jEEgTCfqIdUXSvhymHTKFzfQea1Fnbuoba4bWMGzGeNStW849Hn4JhMPexF5n0k8mYpklpdSnd67oJrYWG9jCP/uV3XPPba9nQ1EIxGkZPLwYORm8vIa8XoescN3UqQgjaMmkOLyrmvlf+RklJCZOmfpqFCx/h+tRD/G/ggj1ehw+DB66+Gq/Xi6Io+HxuOKSluZmKigoMwyCZTFJUVISuu4O4LVu2kEi48pdt27YRDAaxLAtFUSgpKaGqspJQOEx3ezsyk0HLZNAGD8YxDBSvlxfOO494Rwcl4TA+VSXZ1YVpZtADOle+s3Tnzu0Dydn+gBAiAHRIKfOPyqtww8IOu396chDgDu73lK/imO52eVKj6n2RE9OEVAosA2JRiBT3ERh/yc7J/4lW8ORr1JjgCSALc1TSPTvnr5gF0Q9fQW0b1ev2YVdkp3+9GZ0dkRlpJhCOp68+jR50I06Kx7V47i9XG0jS1h/9i3fCTrk1/2lS81GbEuzu/aZNu2ineQEoByM0/3V4JHoHpwT/HzLnwi+l+13QhFuw0pSCHoNcToqXrqwkbllEZIiESBGSATqIIYXD8mwKS1hU24NpV7fTmmkk44kxnsNpCHqpDThkbMGbbZVEPA4RDzy1tQSAT1UIVkah2OPQnlFRBURNjaDm0JXVqPa7+25Pu3KymGXiVVQS0r1/mFikRIKsSANQ7JRhYtMs2ulkCyPkBDRUYkqcoXIiYd3hU+WCNzosFKGRcizGMI5V6RhWW4SABjFDUht0PxfDliiA5Ug0RZCwXDlaQIXDSnWWdFtUizAR208akxZ1C3WhEz6SaM1HbUqw+/frxxscAdaeKn3v/XtLKV/BLfiNlLKLDyiRL4QQ4qic/H5X6yPAECnlil1tc8ATGsuw8QcDWFkb1QZhC67/3vVoaDg4/Oj7P2T535czqLiGUYceShZY19FBZWUly5YtY/z48TiOw5YtW6ipqaGurg4hBOFwmFdfeYWysjJGH3IIi5cs4bHHHmPw4MG0tLTwu9/9DoBsNothGDz38susee89guXldHZ2QiCAtX07m7u7GTlsGJvmb2LtG2tRgyrCL1ACCk3LmhhWN4ze3l7C/ghm2iCrKEhTsmXbZqYeOpVIuIjHHn2U9u0dLH55CRNumoCe8HBM+GhmfH0G0VeixFp7ue+P9xGIBHjo7oe57srraG1sJbYyzqbHN7G4cTENR9bTnermvrff5pzzz+cvjzxCAvjxZZdSFQpSmkozd/VqLpgyhaeXLaOeNppjW3nn7Tu5svVm7qi+bp9ds7svv5zKykoymQw+n4/Vq1YxfMQI3nrrLY499lgURWHyoYcipcTn8+H3+7Ft94f70osvYts20WgU0zTxer0EAgFSqdQOQiSBhQsXMm70aKZPn87SRYuwhSBUVEQ2maStrQ2/EJidnXS0tBAAwpEgJYESTNPaubOfXMnZ87iFrhqFECOAt4AHgdOFENOllNfv194dSHByyfuOAcYA9vrRHtA8LsHR9T5S4QlBsgfSSci2921fUekSAU/AJTP57cDd3xeCeI87nSnIaykkOjnyvxPJ6Z/Qb5suqcnnAdkGwkyCrxRSre87x51eoc+KuvCYeRQ6oeVJjaLvtP++JjWfKFc1wUHJ2X8pEo5JtaJhSzeXKqD1aYSEBFW4RKfNcH9DbUo3WZHBEQ5xYgSdEAoKhjDQpEaH2o5ApdI3lgARyhUflT5JscfCpziYUtCe0ZFSUO2XSAlNCZVqP2xNqnRl3Tozk0uyrIv58KhuXZyMLfCrbp6yT3Xd1iLCh5l7+K7jwZGu/EtFI6b0IlAoEtW0KFvIyLi7Rnh5qS3i7iNUFCCLSUh48UsP6zNxHCTFwk82rhLQXOtqnyrI2m6uEUB7xqHUIzBsmFyisSJqE1Z1srZFtV1LWqQZFjx1n5OaT5KrmnQE0vnY3lc+J4T4Ne7YZDHQgTu6GoFbJ28ocO3uDvAxfHa8b3Hk9CPQhYbuaGhSRbEUhC1wDAdhCxSpMv7UCTRu2MiaFSuIR6OkUilaWlqYPHkyHR0d/OuFF3juuefIZDJIKdE0DdM0mTR5Mtu2baOzq4uxY8YwZswYLrvsMurr6wH3w502edgCoe0AACAASURBVDKnnXIKEdMklEqhdHYyGHjt6afxqCpP3XMPc16dw5r1axBCobFxPYqlUOQt4qxTz6I4UszIEaNIJhI0b20mE88S9kUoCZUQi8bo7YyimTqnnHQyV13ydX5x9U2Mrh/NpuVNrLp1FQ/e8hBVkWouuPgCTj7jZK74xhX4PD6GjWngoq9eSNpOMWb4aMq6yilJlPCNyy7lpkceoTQQwAcUI7ASCTyOzVljx7F55UrOmzSZkYrKabNOZnwmQ6m6mas6fr7PrllpaSmdnZ2c9+tfoygK48aP571332XKlCmc+bOfYRjuoGf27Nls2LCB02+8EVVVmT17No3r17Nx40ZSqRSBQAC/308wGCQUChEMBikvK6Onp4fRo0cTjcd5d906bCCeybC1tZVtHR34/X6EEGQMg+KSEiorKogURUimk/gD/djLPqpDsx9QIqVszE1/CXhYSvkN4FRcO+eD+LDID+YVT1/zu09Ad5CLrOFOd7blWjt0tLvLou0umdE87mu+maZLVLasdaM7nc1962JRl8wkEy5R6r9fvqVSfcdJ9rjEyEj1SdYUHeFz+yptoy+PR/W4ZEYPvb+Ap7PzvMx09xXoLPw8+qO/dTXknNP+M9bOA5GkvV32UUIoYo/tIA48FKkeVAG64uamqMIlEHl+OyTo4OAWrgSwsUgTI+IU45cBHOFgCYusyGAJC0UqxJxWJA4ZkSRt29iSXN0Yh4BqM744TjbHmyaWJJlRnmJI0GBskcGwMFT7bRrj7n+f6YDlCHxqLuEf0BVBUFUJqCq6UAngocopZZBTTYlTii61HX01RRaBgmEn0PDiEQFWKyuJihTNooOU7aCjoQsFBbBx8OOhzKOhCOg1HXpNx41i5j4TRbifR1Cz8amgK5Lp5QJVCMpVP+VKEB0PXnyMCp7xHyEhA5GkvV32kcERYCu7b3L/3FeklN/GHXtsx5Wr/Ry4Bjfn5k4p5TFSyoW7O8YBHaFp3XAlTes20VDd4CbKZW0wQGggHYmwXU2hlTGR5eU8fPvtfOWqq0hGo6xct45p06bR091NMBTCNE08Hg8+n4+mpiZ6enqor6/nxz/+Me8uW8bGTZuoqKjgpRdf3CGLGjNuHJ3bt1OpaaxdvJjyUAgzkSAAhEwTAuDRgAjoJTob7A1QDEUNRSyY9w7VDdV0b+zGMA1em/8aZ3/+bGpra1m5cgUODnVDh/DGm69jdVuE1BAVJRXccMMNLHztHY4/9Hiyepbxk8eBAdGNUYKlIRLb4ghV4DgOTWua0AIalUMq6W7t4vBjDueG625k0ufGcfbESTR3ddKuKIxQVXqTKYxUms9OnsztTz3Neeedy1CPl+fa2vAvWsjQGTM4Y9E5zJ72xIe6Zk9885uc/ctf7pg//cYb+1bOcR2Iu7u7ef3111mxYgV/WeFGH1taWti8eTOaplFTU4NhGCiKgtfrJRQMYpomFeXlJFMpykpLyaTT6JpGR3c3Hinp7u0lG4sxrLqarmiUiKZRXFSETCZxLIugP0hxsBitccvOHf7kRmgKA8snAP8HIKU0hBB7Shv8r8YHGmQX1nPRQ8hs1I2oqF7oaXOJhq4jkymERwc9J90yTQiXQPNGKPK4y1M5U4Htze68pkMyCWbuPfy5RP6sAVaOGORfNd1d7n2/k9n7++yaBki1gJDlzz3vymYmEL5SZEGkZofTbN6auhD5XJs8+svb+rugFURr9kWkpv8x9nS8/U1mEKDsrpb2QRxwyA+yZS7ikB+wK0h04RasVIXAlq7kCsBCMkapZV3ugW2n6ETN1UXWpZesyJCQnRSLGhQUQk6E7fRQnqoga+uMDDtsT3uI6B7CuoNhK3RkvEypaGd7MgxAsccganjwq+7fQsJUSeXyMIIaKDYkLUnGcZBS7vi704VKQGikHIU0JikRx5E2tjSJmdvwqhGKKKfJWExYr0aRgjoqSEmbEtWDLSUeoaJLFRXBtmyWsKq7zrVAscd1g1sXk/gUgSZgcbfCoaVuPz2Kw3FVknltGl4hqJNFtNgCL/o+i9T0P8aejrffzQlsBWnt4cayH8tbSSl7gLty7QPj4/nseB/BMW2e++ccrIy9I2/GsRyMlIHqKAjHjdY8eNe/ePT22/nLDTdweHk5RaWlrFq1ikAgwND6eo455hi+9KUvsfy993jyyScpLS0lHA6jqiqLFy0iUlREbW0tXV1dzH/9dUzTpLa2lq1bt9KZTLJ52zZMIBwMogNVxcUcfdg08IGv3Mdhx07DFO7A48hTjmDouHpOuehknn7+GXxlPuYtfIVjjz8WXfewdOESWta0UOcfwivz5/HK/FcZVFPN1nVbWb5sOe2Nbcx98UVEFJ574FneeX0hK5esYGT9KLLxDIlogpAa5smHnmTcsPG0N7dTGaqitrKO1nfdwckxkQg10V46tzZjpFLEIhGKNY2qUJCqoiK+c+YZPPnY43hVhWs/dw7HH300R/sD+J95gosXfPpDXbNzbt11QdinfuTeDC7905/4y4oVLAJ++8Uv8qtzzmH+/PkUFxejKAqGYaCqKiUlJYRCIUzLoqKigmQqhSIE3T09GKZJMpWioryc4tJSkobBuAkTsIRgcF0dms9H1jSxAOHx4PcF0MQAVTL3QWHN/YT3hBA3CyG+jRvS/ReAEKJ4/3brAEK+Xku+AegB99XOunkz5VU7NpfJLHJbJ3J7G3LzJpfMmAb09vQ7rumSm1jUfc1HXWLRgmiM0dfAJTaW6RKgrOG2ZMLN4bGMneVouVwezNSO2jYy716W6emb7k9aCiI0OyE/3984YFcytPy2hcf8kJGa3RGUwroy+Sblov0vUVPEnttBHHBwSUvBAwIBdu6puQL8vb0XB2gIehkR8NNrGfgdPyoq1U4dARnGklkMkSYtewGwhYmCQpfSxiBKcCQ0pxw2JLxY0nVQ04UkotukbIUlHZW0pf20pPykLA2/ZlEXSOFTHcp9Jl7FdV/L75uPFgkhsJEEVA2PouAAMdJsU5vdfpHFxsSrRvArRZgY1OmT0PDSrKzHRtIjk6hC4FEUFCEICy+aUAgpGl5FYEqJRxG0pgUhzaFYV7hoRMcO865l3QoKEild8ndMpY3AjSLV60XoaAx13LqOHzZSszuCUlhXJt9++tNf7F+JmhRulGZ37ROMAzpC4/V6Oeuys0inUxi9GpqtokiVQCSInbZxDAfVUpl1yik0DxnCO83NbI/HefLFFznh+OMpKSkhHo8jhOD+++/n2muvxTAMDMNg8ODB6LrOxEmTUFUVj8fD8uXLufLKK3n55ZexbZvy8nJKSkowursJh8OE/H7qRoxAJBIsXrKY6cceRtyMs31TK6OGjKJsUClDaocwbMxw1m9cT7gyxJCRQ7j8m5fzz+f+yctvzaO6pppRtSO594l7IQaTjprIEdOOoDcWo3N7B5WVVZw060S0oM5VX/wGXo8HhsCKF1eQJIkTdWjb3MY5p53LvGdfZmXjKqZNmUZAD5LtyDBhwnhOzRzN3/7wAJ+eOIV/zn2Ak2//Pmmfl2zWwO6NUVtczFXHHUdi5Uo8I0dhrFpNY0sLJxx7DElg9vbLOWPQn/bptfzbt77FZ3+x843gl2edtcO44eyzz+aZZ57ZkXtTUlKCpqqoqoru8ZBOpyktKSGVTlNZUcHGTZsYPnw41YMG8eijj3LEYYeRyGbJ2jYt7e0Mra7GSiTojkb51EknsWDePEYMHYKm9vvJfEJNAYDLgKuBemCWlDKf3DEWuHl/deoTg4FcznaFgpoywlvqDlTy0i4r2kcmeg03GmM6kLaQqU63AIWR+6suypMixY3mDPhe77dD3rFMH2Afy+yL3gDoZp+RQN6NTdERgSqXXITrkKl2pJkCb3GO9OTzZHbOgdmpjo7qKXBGS/Y5pvVHf2tnLbjj85PWmwjtiIHP+9/EQNGf/U5kcAeGB00B/vtQHzoZj6KgK+5tQOA6eOmKhNwA3St1dAU2JjPU+LyoQqGcEL0yQ0JJo6BQTCVtzkYiSjUJ2Yku3YcHZU4VSWkiDSjzaKyJWRTrKl5FY1DATbRXhcQQAo8i0QR0GTqOhKSukbYUoqaK6QhSFsRMN2okkYQ1JUeM3O9tyraRQJkIkZRhkqIXJKjoqIqOIVMMlg2UigDb8WEIg1a6GalVssHuJCQDqKgUqR50IfAqAiEg67iEZn0mjk8Nk7ElT2+pxHAchocEY4tTdGU9SJknWZJTB2eQUjB3u48qj5dXrUUc77+Ulcp7/PHmf3HFdbP26XUcKPrzcci1kY6CtPcUofnk3ncOaEITDkWQUUlRuAjH72ClbchIzISBKlV0obHi3RW8+fibnHPhRfz0gQc466tf5dqRI1nV1ISUkmQyye23384ZZ5wBuH80oVCIjo4OFEUhFosxaNAgstksJSUl3HHHHQBUVlYSjUZpampCCEFVcTFDJ08m3dXFIMfhxJlH8dbit4nbcSqHVBApDrO9rZVQSYjgliAhLcRZnzmLRCxBKBxm1qxZzMnO4YyzzsCyLBoahtHR0c64+nE89fxTmAmLqUdPIUSQcXXj2Lqpmbt/fzfTTpjKzJkzSXYnGVIzBGlAV7KThJ7A7nX4/rXf577b7+WEWSfw9FPPcMWfrsDaZPHFMy9EOg7/nP0sK+9aTqg4xL/emcslN11Cb08vIa+P+prB2IZDZMxY1pomDYeMJgQ0r1m9V9dn608upe5nd+/VthfmTBby+OeNN2JZFhs3bqSmpoaFCxcSDARIJBKUlpaSiMcJh8P0RKNIx8GRrguKmXM7Gz16NKlUivfefZdDJ08mnkrx/DvvMPO44yitqEDRNBYvWMC0SZNYuHQp4fJypKaTSaV37tgnVHImpUzj2iz2X/4m8OZH36MDEPmojOJxXcLydszg5tKke1wioeuQzA3k0xYk+xlP6DlG3Jlxpz0K0siARwGtgC0HtF0THegjNgOZA4AbCSoqAbMHiit3soCWqbYd0zuISL6uTt7uOf+q9DmpybwNNexcINQ2+gpxFpoH5JGXoFnJ95kF7AkfRKL2cSQzeRwkNP990KRGSBNuDo3Wl6+Sl545Ekb5wzgSSnUP7xibaWAwIU2l07TQpEa72IpfFKHjx5ApdHzE6KAYNxqsoqALQVgX6IrGmnSM4d4wXdn8900ACiUeSVBz0ITElApxU815r+Weudjua0a6xTIdKbGlS3AUISjRNTKOJG3bhJ0wWTWDSQaJg0cE0IWPFrmJtKymTBazSizjUKayymkmJMNsVjZikMJHmIATptqqpMHvY7OdptOWOEi8KrSkbbKOgk8RxC3Bq21BMrak2i8YEc7ueJ6oKQ6zatK8sM3HNA6llfiOz2Rv8EEkah9HMgMgbQVp7f4J635UnH1ofDyfHe8jXH+b+yWKdcdxMg6qVBFSQZEqKirCVjA2GZx4yVe4a+5czr30UrZ3d9PU2srQoUPJZrNUVlZy7rnnMnXqVDZu3MimTZvo6uoim81SVlZGRUUFQggaGhoYPsyt+/Pd736XiRMm4PP5OPussxg9ejSHTJzInGXLcKqq2JDN8swrC+jY2suwYANVniqqwlWMGDqcqupqvJoP27BIJ9N4dS+6qlPkL2Lq5ClYWZOy0lIeffBRwmaE+//6V0o9pZx09IlonTpty9sIZ8LURGr44Y9+yMhRI2nb2EVILaZtaxvxzhi9m3vpWN+OmlZ4+FcPc8S0IzBiBhoaXW91EvKEeOfVBWxt3Mp5Z5yLlbTAgE9PP5WND23gycf/jiZUN8KlKPg7k0ycMJE7br0Vv9/HkYcfzrK3z+KWW8sHvC6tv7uS9J3XE4vHP/A1/d4JJ/DDWe7TlM/+4hc0NDSwetUq/D4fHo8HwzCIxWKUlZWRTCZRhKC4pARFCHpjMRTF/cr39PTg2DamZZFKp7GlZPDIkbT19uKNRGjp7GTCtGl0J5PEDAPp9dKTSKCo/Z5ufEJNAYQQnxFCfL1gfoEQYmOunbM/+/axx95EZxzTHbCbiT6XM9twC2bCToN+iksQxSFETdglKMHccybLQaZMZG/WbSnTHUHkkbTcqE5Xxn3tzCC3xZGdSbdF066MzRggapNHXr6WbwBlg11DAk+grwComYBku9tiW/vOr1AmljMRcKVl5s6FRAs/s0Ins5x5wA7CVIgB6tVI45Vdko4PIxMr3He/589Afky553YQBwxGBc9ARcOb+4uxchEaV3IGphSsiCpsyxi0Zg2CmkKNU80m0UKT2UurspUiGaaYKrqtJlR0bEwcbPwigkBBkyoBRcOvqngUGOSXjPSFSVoOqoCurEPUkBg2RA3B9rRK3FJRhCRrK6QsNwrTmXHJVcZxMByHrONgSonIRWeyjkPCdkjYFklpYgkbiywSBxUdR9p0ZNcx2HFLjiRIUytHkc05pG1XNuMjhIpOt9lEnG6iIsFb2S2khYGNg4ZCr+H+DIKaQrdpsT6RxZNzQIsasLTbi0e18SoOXsXBp9p8enAaS0qU3A/IwuKxm1fuknR8GJlY4b77PX8GIBeh2V3bnxEaIUSZEOIbQog/5NpVQoiyvd3/gI3QrF9yEXc89QCO45CxMngMHcVWwBZk4hl8mg9pOjiOpLm5mVmzZvHKsmUMHTOGZK6CfFFRER0dHYwaNQrTNGloaEBKiaIoxONxEokEXq+X3v/P3nvHSVbWad/f+8TK3dU5TE9PHmaGMLPkICAZFV0EEXnNqKgouOu+bjLh47qu7rrG53nFXQO4bkAXQcBA0JW0hGEGmNCTemZ6ejp3Vw4n3s8f96nuZgIzrOwLslyfT32q6tSpU6fqnDrnXPf1+11XoUBrayv3RE3r3/nOd3jnO9/JUxs2sHVggCWLF7Nn7156e3u5/4EH8GZm6AVagdGpUWQJ7HGbZGuCwlSBVcevItOcoSXdSiBV/0+lVCYWjxEzYthajD///J+x4eENXP+RDzM5PIWlWXS3dWPUDAa3DTI1MU3v0qVUp3yWr+5iOJcn5cUxdYPO9l5+9MNbWXv6CSxIGMRKcRYtW0T2ohZ+cvNPuOCSC6iN1BiaHiLeGWftKet44pHHOXbtsbRmWrk2fi0/++ufccYbzwQkcTuB3O5wadsytt19Px2nvoaVPccw4AzwV2tKfOyPbqRecxge28fKZSsJ3JB61aGlrYXgW59haNteFn/9+0fcpp+65BLi8TjxRGLWLODyv1LW5q/v7KS7u5swDPE8j3yhgBaFbpZLJfwgIB6PY1sWjuuiaxqO46DrOv0LF+J5nirz8H3G83n0RIKJQgHpOKQ0jVyhQJNtq7PLfPyeBmsCnwDmp6LawMlAEvge8Lu5O7xCIeWTR19u1ug/mSUxFlTHn2uLDDA5gczXFIGZrMGYAzPRazEdWszZ57IlUm9iGuQ96FLLEoY2R3bmk55I3ZFWtM6GBgm1wx6k5pimclpLJFRfzfR+Nc0tq/6cBgwLvH1z6k4jI8dMqJtXjWygPRUa2ugbOvC3geeSm/I+FeYZa5mbr2EQML/fxskdkbi8EHIyf1mN+Rv3L5Vi82Lm0AghdOBJYL+U8g1CiBbgX1HlpnuAq6Jm3EO915ZSOkea9ip+N9x00+dZkrwUA2XXbOsq30WiyAwINKFKwsrSUfbIoVR5LxSp6xWqQY6cKDAaDCCETjXMYWg2cdFEgDpuJLBpMnSaLNWnkzRCspZOR0wnpktaLIEnoeqrFq2Yrj6z6GpYOhQ9gRuCpUM9kFQDH0NoCGBGVmkScWKarlQaQEPgE2BLEwObmixQ8sdImu30WevU+Vq4hCLElBYBIe1hG110UMMl0D2KMqTg76fZ6GCGEapaGh0DU9qMuxMsCHuIBzppQ6fZMmcJYd5VitGdwzYJXaM3IVSWTyjoT8LrmuL8eL+Fg0dAwHGJtxyRuLwQcjJ/WY35G/cvlWIjQ162ts1CiFXAA8AvgQ2ow+DJwF8IIc6TUg4caRmv2DGets52rrvuOjrCDgqFAn4QUK87fOHzXyAWi1EulJiZnsFpaaGtu5vJiQl6li1jeGSE7u5uHn3kEVzXpa2tjW9/+9sUi0UqlQpCCDzPY2Jigm0DAxiGwTe/+U3uuusuvKiUI5fLsWvnTnK5HKVSifvuv5/BwUEeffRR0h0deMCaU08lYduqtyaTZMUxy0klUhyzbBXZ5hYGNg1QL9bxKh6aI7Cw6Eh1UpwuYWIwPDxMGIZMjk3Rmm2hUqrguz6e79Hd20OxXsALAjpXrGBPLs/UzAwPbduN48FXv/IVjjvjTLY+O8i6E9fR2tnHpz/5BfYNDHH9O67n9n/4d2RRYrkW+zbvY/NvN4ELXs1DeILyTJkLT7+QzT/bhJbT0TQNTdM4b8H5VEer/P27vwohXHLepZx87UmM7B+lXq0T0+KUCxV1pA4hGU9QKhSxEzGqn/7Tg7bhv73hDfzrNSq0875PfpIzTzuN4084gaVLlx4072WXXYbneXR3d9PR3k48FiORSJBKJnE9j2q1SqVSYXxignK5TLVWIx6P097WxvjEBPl8nn3Dw9Q8j8l8nuGpKUr1OjXXxUwkkIbB/snJg+VYE0UFnu/28jx+WFLKffOePySlnJZSDqFIzat4PhypBKphY6xZyhWs8Z4gaozP7YOxfcjB/ciREhRc5I4S7s+nqP1ngfKmMrXtVdxtFcq/miLYXSXYXYUtZRisKjIT0xX5yfvIkRpyxkHOHHCdGfXjUHDnFJ2pulJzGkpOpOY8x1yg0ign85SNdKUyZyhQKc+95nmKvNRyUNwP9ZwiNQ2y1njsVefMBgJP/RaH+g1DVzmnNUggHGwm0Ph9jwKHIiTz1ZiXU4nZcyBAaEe+HSVuBObXAf8ZcL+Ucjlwf/T8cHj0KKe9it8RGhpnxRfO2jTbUQ9L2ojUBU0y5FZo0xM0mwZuqFSGNXIVbWE3CS3LGINkjG7coEw9yFPxJvGlgyXjkToiKPjKtjmMTmYtVjibK6MLSRAqq2hdqHmSRkDSkMw4Ai+EIISiF6rPF4IQSVX6uMLDkQEzQY2ZoMZUUCNEEsekGgVsemEVQ1ODE7aMMa1PINBIhkk0NIqiTFGUqeEyrA3SGnSQNNsB2B9soVsuYdLZzpizBV8oC+icKLLLzzHlucw4IZN1Sd6VxPRGL4/PpOvwVL7O9qIqobM0eCZv8do2mzWJDJ7wSMg417Zdf/CGOQQORUjmqzEvlxKzAyFf3grN/wJulFK+W0r5NSnlV6WU7wI+yhFCORt4xSo0X/nKV3jLH72fGcaQOY9sPYtwBH/6/34CfBCaRiKZpOzkyJom4/U6+amp2UT6yakpduzYQU9PD+95z3uwLGu2AR1UL82JJ53Enj17WLZsGevXr+dTn/oUX/7ylwmCgLvuvhuAarVKPB5nZkY1xA4MDBAHnt62jTdfeim/vfNOWtttuvq66O7uplQu0lxr4uS1J1MslpBeSBAG1Et1Hlv/GBe+7iJqkzXWP7Se8y44n31b9/H9b32Pj1z3UWJmjHt/fS+L25dwwcUXsGf3OHfefjtrjj+eselp0qbJV26+mbdccgnr1q5FCMFDjzzE0pXHkm5uJmGn2b11kI/d8Akqfh5b2Ew/PI2OTnPYTHFfCW2BjgDqYZ0T152IM+NQrpYY2DbAuW96LZdar2N/ej+Wa1H36jx0y8Oc+O4TCbyA/r5+du3YRXNTE83pLJOTk6SMJNMTUwTpub6BR6+6is6+PmqahrQsHv7Up5gBZqancV2X1tZW7vrsZ9mzZw+dnZ24rsv09DS6rivrFZQhRL1eZ//ICI7jKPVF0xBCUKvVSKfT7Nm7d3Z7+75PZ2cn4xMTJC2LpGWhmSaEIZMzM8SCAD0I2Bptx1n8/poCZOc/kVJ+ZN7T9v+f1+X3D5H6ckTMIzVz7mCKCMjB/bMN/wcREaA0XEe3o7KIWogR1wBFFOI5da/HdaXSJDSoBxDTkYNliOmInrhakHHADngoJYeodtoPESjFSHguNGchmVJqTCMTp5BTGTegXi9GoZ+NXBu3OhfWqWfnyIlbVmVpDQezhorTeDx/XbwyNPpvzNRcRs2Bas0LwIHk5XBk56XA+vUH9x2+GMGaQogFqGyHv0JlOgC8CTg3evwDVNL3nx7wvi6gF4gLIdYxNyyTAQ4hub2K3xUaGo/WRjgr0aMyaABfSoSQxHVl3RyiFJOsJRivS9qNGKN+hRRxiiJFGz2Myd2kzS5qQQ5d2LiyiqXFSYYpXAKaNKVipAxJztXRhbI/rgdgaYKYrsZLmg3lehZIMDRJ2pQUPUHJD6kFARU5V8paElUsaVIWNWw59192ZECVOgDFcAxLT+EERXRMPKGOn4Y0mNInsWUMS1qEhAQELAhVCX9cNJE0s4SE+NInbXXjhTVywT5atX4qoqwyZqRJwRf0xGzGHJey59Chq13VR6IhqIchG/I+LgErkwn2VdWx8ex0B48VC/y0+sLbRw8kL4cjOy8Furu7n/NchhphcIQempeuieY4KeVB5e5Syp8IIb5wqDcciJfnpdaLgGs+9ce0tbbSK1XTV0tzC/F4jL/51peoVirYukXMiOEEAZ4QDObzLF++nL6+PsbGxrjiiitYs2YNmzZtIplMzhoEhGGIpmmEYcj4+Djd3d3koxK1b3zjG9TrdXp7e7Ftm3PPPZeuri6KxSKLFy+mp6cHUEFUqUyGqakpFi9cyAWnXkCT3UR+f551a9ax8cmNFGdK2LqN9CS6UKVT7e3tpONpRkZH2fnMLgzXwHNcrr/hI2xcv4GJvZOcve4cfNdjcqwIhkFvWxvHLFrEhaedxuDgIG+56CIsIbj5m9/kl7/+NbZu05zJcPJJJ7Fk9Wq++8N/4vu33koYJti9dxStqHPPv/2cIAwIHB+tJLj33+8jlUxjCBMdgzQZjlm0ivFN45SKJd58xRVs37SNuIyTXZLFNVw0qfPAr+6nq6eL0kl6FgAAIABJREFUQq7Aju3bac224IcB2dYsXV1dODf9JWMf/hCL+vr4/j/+Hf0mtJSmWTA2Qrla5fHHH6darVIoKCvK/v5+4vE4sVgMKSWmabJ3aIhyucz+kREGtm0jl8uRyWRms4E0TSOdTpPP55FSUi6XmZqaIggCFchZKjG8dy+FqSnGRkbYuX07U+PjqoztQDIDR9dD8/JUaB4TQrz/wIlCiOuAx1+C9fn9wKwF8YHWxIeuwJkNnIyIDaAu3v3o/TUfWXCgHmUnNBkEEcnRbY3ACQmcELfkU51wqU64+LWQ0rBDbdrDLfhKvdlcVmVpjVK1eqBUm6qnem8a8J8nYqgQWSTna2BqyMlipM6UYWg3cs8+5NYdyHweOToehXpOqFyc0eG5IM/c+BxZyQ0q9aaWU9PqOUVsvPIcmYE55WY+wiiw8yAbaGc2ePNo8JzemsbyDrXclxGEUCVnR7oBbUKIJ+fdPnDAor6KKi+dv+E7pZSjANF9xyFW4WKU2+EC4CvA30W3Pwb+4kX9sq+CVcnLEWi8JtGjDAGEIjItVoARPdeFuijXhGB/LaAWBJQCn7xWoEqd5jDLjDaOTpRDo6mL+UB6uLKGiC73dKGUlgOvW2M6lH2BL9VhwpMw7epMOzoVX6MWCOoBpA0NU9NIChMXn5KoYksLV3jEpYWBjomBgY6DRygkvvAxRRwNnbiuxtL2+1uoyBxFLUd70EFz2IQp1TWFJzw8oQY5W8NOAnwcWSYeqmXYWoqM3oWBgYlFkSlG9GFGtEmedIfREZgYzAQOLgFxoYI69ahk3MVne6WGFgWYJgzJqngT9aBIOrb8qLbZfEXm3Pi1vD71Qf6f7PVc33l0Ks9LAikg1J7/9tJdsFT+i6/N4hWr0EjPw/F9pkcnEaHAqdbRdZ33fuC9uFFIpl/3cKTED0POPP10xqenSSaTjIyMcNttt3HxxRezZs0aarUa1WqVTCZDqVQiDEOWLFlCGIaEYch5553H+vXr2bVrF6tXr2bLli0kk0k2bNhAoVCgubkZ13UZGRkhjqpSGh4awh8Z4aLTT6dQrbFvyyDLVi1lenCaha39jO4YYcGCPkws8rk87W3tbBvdxtjOMZrsDO982zuIGzFaMq3YtsUpZ55KfjivekJWHsPu4WGyLS2ccs45+IbBnpERRDxO0N5OXzbL+9eu5dcPPkhbTy8J0yBj6Hz5c5/DAtxSkV1bNxLX4yxbsZQNzzxDbiBH53GdlPdWWLv8BMa2jvL0zme44Pzz8es+bfFW8lMFWhMtPPXYU6w5Zw17HtzDDdd8lH1Tw5SCEhdcdCG/uf/XXHjhhWzcuJFapU5LS5ZqsYrv+vz1TV+ERXDTn3wWemAve0kvy/APN/wjl3/jTWzd/hijtz5G9oYbePrppxFAd08P7e3tDGzdShAEdHd1UavXaW5qwjRNNE1jaGgI27YxTZNSZESQSqVIp9MUCgWCIGBmaopMPI5fKiFrNXzLwpCSlmQSLQjU7VBDF7+/Cs0fAT8VQlwDPBVNOxFVJPeHL9lavdIQusoZSLfAyauL+uKEKt1yQ2QxuogfrFIbUiOZ1QkXK334Q7NbaqiZBn4tGuWMa1iuRLeEUm1imrqNoFSbehl6DrGjxjRFppoNdT9SU8qOH4KhqYueiqPUnKqv7qfVesq4C5Si4E8N0XBPSyRV/00iAdWqUneSWaXcwBz5m6/kwJzyMl+tiTJwhJl6TsCnUmssRYzM1JG2wqGJaOg913lNtw5+30sGgTi6nJkpKeUhG4WEEG8AJqSU64UQ576QT5dS/gD4gRDiCinlT17Ie1/FC4cmNQwMYlH/h6FJAilImz5eqOFFls2NRvaYppEPHCx0cmKUip6gJezEwCbAwxIJZQogPGyRIi6Tyl0MnYQhiOtEJWbghoJmU5W0eVLRnmZL4oaChC6phAIRqvEON5R4oVS9xEKQIYYX9b7Y0kRDYEa1kKbQcEKdkow+OQr81IWJJKTJ6EETOnGZxBM+cWmhoRHgUBNVMrKZuqiTkgmSsokAj7yWY0V4LA4edVEnJETHYLk8hhCJRFLDoYKHg0dN1LCljSnnTsISiYVBQMBvaoO0h+2ckEqjC1itnUFZKzOeSDBTffqI2+218fdRx+N9S10SRoWxapLhqs2Xl3yAaqBxUf9eTv/tz1/cneV3QHgUCs1LaHPWIYT440NMFxxl1cgrktAMrL8GV0qcSoWWthZG/3WU6uIa3/i7b3DDJ29AOIJquUo6lmbp8uV4QuB4HqlUCtu2+dnPfgbA1q1bWbZsGcVikaGhIbq7u2lqaqJer+N5HsVikenpae644w4cx6G5uZmJiQk0TaNSqdDZ2UksFiMMQxzHoT2ToVYskgD6Wls564QTkL6PbposXryIrs4uhvcOs3TFUnbt3sX4+DhLFi0mbsfJTeZYs2oNj/z2YfbtG8ZKWHzgAx+gr20BoSfJT+YxdZPHn9rAirVrybsuQzt2oMVimKbJrp07CS2L1r4+7n/mGdYtWkQim6W1u5tN4xMM7dvHGy+7jIHBrezYuxOvFvKLB35GUzrFlVddRTypM1WY4omNT7K4bxH9i/rpb15IZaJKrCWGaVg8+8QzHL/ueJb2L8UYN+lu7+bu793NqWecRnNzE2MjY6w6ZjVPb3ya25/66ez2+uQnPomowk23fBYv70MP3HjtjXztW18jU2jlqquv5ulvr2dZbCmx82OYw7/lhLTJHbc8wb8D73nPe7BjMXpaW9myZQumaVIoFmfVtK6uLoIgIB6L0d3VRS6fJwxDSqUStm1j2za92SxT+/cT1zSklNi+j/Q8YrEYlqYxMTJCX/sh/lO/p6YAUsoJ4AwhxHnAmmjy3VLKB17C1XpZ4yBDgNA7/MzzEbpIJ2qqN1OQ9GBqAjkeWYAPVqEeYqV13JJy+Qlcpcw0VJpDYY7YQOBqOAUf3Zo7WdlNBrqtoVvRDjjqELiSwFGf1YAe1xWh6YkpZWdTUb3QY8NITak+9QDyPiyJq6HcGU+VucV0RIc/R36SBrglxDKQO3ch2ltUuKfZKEuLfr94UpWrzbeNbpgL6Kb6nXRzlsTIKItGhFEJWuDMWT0H7hwZeT7V5UAyc+C9Hw0CauZLT3AEiCPERRwFzgTeKIR4HWrYJSOE+CEwLoTollKOCiG6gYnnWcZd0aDHIuYd6aSUn/ud1+5VAGqk/7jEWwDViN8RU/9rQ0oypjdLaPxQQ0ebPZ006zYb5GZ0TBYFSxjUdtAk2/CFM0tsQOW+hITY0ialK9KUc9Xf2NSg4oETaNi6OlXFdIkfjV/UA6XmVHxJPZB4UpEZR4bUpY+Lj0RiouMRkMJW9s3RVbFE4gqPAJ8YKSrk0DFJyDQxmUBKRUgAKqKOJ1xlXS0z5LUZbBlDkyksaREXGZJSHSMyIkaWuHIvDevoCBKaQSglrvQRCBLY6FKjKmrkkZjSoF0k8BBsEwMEeKwJj6eMw8OVMU6KdaEhOCfZw62FZxAYyMhM4az4e9EQxISOJgROqI7TLgEfXCIpuBa2FrC1GCNpSCw9ZEWTqiR57JyL0bWQxat2cOuvLuRjO7/z375PHRaBhvSPdGB5yS5YvgOkD/PaUeV7vCIJzefu+BHvfOtVJHWdjLBYsXKFyqBpg2QiQaleJpAB+XwBaWRxpURGdr6O4/CXf/mXPHD//fQvWoTrumQyGXp7ewnDkFpNXYTkcjlaWlqoVqtcdtll/PjHPyafz5NIJLj4oouYmJxk/fr1LFy4kCAI8H0fGYasWryYuJS0JRLki0VaUynGx8dJWBaLNRvplJgZyxEzY7S1trNvzz4WLu7nnrvuJtuu6kg/+IEPYsR0JscmsDUbK7TQQg0zluDR9evp6u0lm0wyXiyiA8I06V+2jM6eHqr1OpmmJjYMDlLN5cj09NDR1UU+28Kuep3Fp7yGFcecgJ3JEEskuOzyNxMKhx/d9s+8953vZWznGOtWr2U6P82999/Hh6/5MLmhGYacvaxauRpDmNTKVdKxDLF8jKX9S4mX4vzt1/6WT3/609y25d+4+qqr6X/NIpJWgs//r7/i85/+POThLW+4ktt++GNu/OwN/M3Hv86Hb3oPcizGz++8k0w2ie8GDAXtdMss9//7vZx2+um8LpmkrW8fI997iFPOOQO7MEK5XuGe6JrsteeeSxiVC05OTWGaJi3ZLIZh0JLNokXhm8M7dtCaSpE2DCzPQ3oeaBq4LjHTJB6Lcf2uXQfvbL+nOTRCiK8CDwOPvEpijhKHu1g+TLnZc6CZc1bHoMIs66Fq8m82IKZRG67jFHx8R84ZoR1AZg5HcBrT5r82n/DMf79uKfIzH0Zcg03lWUIUuCFW2iBwQpyCjxFX77NqAXrWJMh5uKWAeIeFjAgZzdHppMVEbsgrcrSkgMiYSDdAtMfVMG9rDCjC6LhSdpIJaOt8bj5OMjIb0G1lLNBwjAOE5s79noFzZIVmPlFp9OEc/AMe/LiRqTMfR6MGvUAc0olN/O4uZ1LKPwf+XH2GOBf4Eynl24UQXwbehcqhehdwx/Ms5g6gAKwHXnU2+2/AcYm3oLQXDUtTvTKagMXpIkGoYemCIBQEUqOGJJjXo+LjoGOyRx+kK+hjVNs7S2bStOCIGskwRUomZ6mQpUHakPhR83fGUk5qTqD6auqBckCTqBY/L2w4rYGUitQEMsQnmF2PEIlAUEEdI21McrJCKOQsSTEwSJLFkAYCDSv6HgJBQEAgQkJChErcwZYx0mGaiqgrMiYT+ITEhTrOxHUdLwzpNhMUfJ9QSjwZ0q4lEELghiGBDDGliY2JhsYWsYe0zNApFxISslfbz1p9EeOewf3uZvro54HKEEv1k3iGXbwp/SF8KZkKqjjCw5EmSJjWpmkNW9EQ7CwmuW+qyoeXKIc6XUgMoX6wE857BKO1jEgKMATXX/pTLr35DJa87SnluOAHYOiYb3/x/1qf+cwnufnmm58zLQzFy7aHRkp50+FeE0KcfDTLeEUSmsvf9jakYRBogpb2VjRTw6tW+OB111F3HDzXxbQs8jN5/Ewnge8ThiEjIyN0dXWxd+9empubGR8fJ5vN0tTURHNzM5qmEQQBQggmJibQdZ18Ps/dkQHAmjVrWL16NbfddhttbW3EYjGGh4cRQrCsr494IsGSpUupTExgmSYVz8ObnKQ1mSSWSFDMF0mn0jz+6GMcd9Lx5KdzIAXrH3uSP3zzH5LP5QkIKeTytLS10tPSQ7lQ4eknN3LmWWdy328e4uQ/+AN0XSebTLJ60SKe2L6dlu5uZBiyL58nbds0t7eza3SU3zz2GL2rVuGVyyxbtQq3Xifd2cljW7bgTU1hdnSwaWiIxX19vPGCP2T9w0/yjmvfwb6xIYaHhnnzZZdj6iZ2IsZdP7+L93S/l2fXP8MDj/+at779KhJGgr6OPoxQ54xlp7NvZIjXNL2Gz1z9WQjh0//701AFfKAFbvv+j/nM1z7DnoE9jLe2sueJSSonnsjkccfx84cf5vzXvAa/UCCXy3HqSSdhCsHkzAylO0PWHHcc1XKVlUtXYmUsFs+Mkb4qzTMDvwELkg9DRxbuiYqrzj//fIqFArl8Ht/3SVoWsVgMLQhoampC930ylkUcGN+/f7b29iD8/pac7QQuB74cZQc8QkRwgKellM/TbPEqjoj5akCjNyRw1OOpYeTUJIzUodmgtl2VYvm1ELvJIDcp8XIhpq7OLIY9t+8dTq15PiVnPho9OQfCLall2E3GLOFpkJ7ACalOyeesR+Mzc7tqGLaYNS+YT4h0SyN4OI/dFF2AtJro3Ta0RKVnMR3RYSMpAxPQpWr+RdKGhcypN/HsHLFx8kivAmZSlaHpFji554ZzzlfOAmeOxASOysaJtRwdCQ2cg+drhIc20PjMF5noCDjakrP/Cr4I/JsQ4lpgCHjL88y7QEp5yX/XirwKZvNhdHQMoVQaISRCQNz08EIdTVc9NV26ckzUBEz4FYSmIdDoChZwbKKJbifDZnbjyipO5CxmS5uMiCGAtKmUVF0DS0gqvqDiM1vqVg3UPlfz1Ty6gLqMysxQ/Te+lOhCw5TGbImXQKAhItMCgYePjg4ywMSaNQAAZhWZkJBQSJyodMyQBhoajqiTDtNzBEZa2BiEQFYzKIYeEklMaliaRj0IMYVGICWG0KiFAZoQBDIkKUyahIUnJb5UJEnHICSkKspkZDOjXpXjUikW+WvYF9TpCjvQEby//Xp2lOtc1GUw7aRYnq7jhRpJw+fc1eM8sKWd167aTKmUIrNrOdXA46MnbaS5bQYrWcNMOAg9JKyZaHiImERmmlnwpRiOce7c9g8DKttgz8fqSCkIQo1Vr38ILIn1oTnS+KJAakj58rwgORBCiNWoaIm3oQZVjujB/4ojNJ/+FGSzWXTPI21Z1MdrBJUQy7DwNBfHrWPFbSozZTzfZdvgINmODiqeR3NzM7fccgu1Wo1rrrmGdDqN67qzzliVSoVsNjvbWO44Ds8++yzJZBLXddm8eTOnnnoqoHo0LMvCsiyklBi2jRkE5KenScVieNUqhakp+trb0YVACEG5ViMIfI5ZcQwaGgk7ie/7dHV0E3ghXe1dpDNpRidG0QMNz/dJ6UlOXHcSQ0MjdHd2Ytk2zc3NzBSL1F2Xk9euRRoGtTDkocceI93SQndbG8ceeyyrV67E8zwKxSIP3H8/Sxcu5Me33koInHL88Vx66qkEQcBPf/ITOtvaOO/ss7nrzl/wugsvJE2apUuWUqvViVk2r7/q9Xzte18jrBpoBnSkO8i2t/BP3/sh2XgbTw4+zr888ihf/fwf8753v49/uOsfqGfrsBze+O7LyJVzPDjwEF8b+BrLZi7nwssvp9zTgyYEWhBwwgkn8NSePZSnp8lVq3SWSlzz6U/zN3/zN1zZ3U1HKkUmlSHQA3RDp39BP/Zmmx67ByNuUD27yuTMJIuvK7PiuJUM53KIlja2/fVGnlrfSSAEvmEQtyyCMIRIVdNtm97OThYvXgi333nwDvd7SmiklN8EvgkQlZ2cCZyB6q3pQLkZvYoILyh/5lCo56Cimubljr2zfSjBqEN8YYz8s2WMuIZfU2TD8wWeLzANCY4iE75zMKlo4GjIzOFgpeeMCPxaOLsOgROS6LAo7lMX9cWiWh/PV+tgGiGmDrUqeMXGsN78E3CAaUjKOfW7mfscjK2VWZWoofoAxFckgILq9+mxYesUwtKhyUK0JaE96ltvW6CUG6+MjEUOcmYKghkwk3NkpmHGAHNla/UZFXBaGnrO9xeN0jIz9dzytUMpOeqHOfjxgeWHRvJ3K1kTgPHiERop5W9QbmZIKaeB84/yrY8IIY6TUj77oq3Mq5jFTTd9nrWJt6mLf8DSQ/TIAEAXIQJJ3IgyqCSzA2uWJrAxWccJ7GaMNDEm6j6+lKBBjBQeDqa0qWgVQinpEhl0IYhpisgYQu1mKUNVlAYS/ANG5xtGiLYm8OYRmyAa7/IJsDEJUQ5sAAEhOhoBAaGQSEVd8PEJRUgYEYtQSDQpsIlRE1VlBkCVVJgmhoWBoDF0oAuNUIbUwoCEMGbbPIIozFMHQqnso9X0AI+AmLTQpCJaTbrFYtk1azPdSROTlEgJm1qgyu8WxGzqgWRdi2SgAJd0GewoGeTckIRukzIDNheS7Hr8ZLYXBTX/BCq+jhCSUxYM8f4HVgLw03f+Bw/++kz62iZZ9f6ncF7/OcRf/zXe5iqxdxQJEnOnV+G7CN9j6ecDhFtHuA74CyAMeebixdG2F0gpWPP+xzGvOqr++ENChgJ5xB6alzRYsx9FYN6GGuruB06SUu45mve/4gjNzvY2TgsDLAE7dg9SnwjodLr49s3f5k/+6uPMjOdoTsRp725HC3RaSVCp1bjrF79g165d3HjjjWQyGRzHwfd90uk0tVoN0zRpbW3FNM1ZklMul9mzZw++72OaJp7n8d3vfhfDMHBdl0qlwnnnncfOHTuYGhlhbN8+9gK2ptESi7GgqYl0IkF7ezt9XV0MDw3RlEqRL+fo6O2kXq+TK8zQ3NxMqVDiwV//lrGpMd79zvcwuneMpqYMxaqHLnRaOjsxazVMXWffxAQ9CxYQC0PqmsbI5CS333676oXJZMjX64yNjPCLX/2Kt7/1rWzfupWeri7K5TLLly3jhJUrqdfrlEslFWL5hjew5emnueeee7Aji+PeBf1M7p5i/fonMU2LCy46n/de8x5iqTipRIonHnuc5f0ruOz1VzE0tI0JTuHtb13OV77wFd58zeUQg3tv/RXHptZw53/+jOs+8gGWLV6Of7vPrbd+j9rKNewcHyfd0kJLKsXmp57i3DPPZMnxx7Nt0yYGNm3Cz+f56CWX8Is77mATsHjxYlzX5ZiVKzEcjbX5EZrbm0mSJNucJRaL4Qw4FLcUaEvH6N3dgjl6LP7aXpqArRs3otXrOK5LWtfxNY3RXI6kYXDlxo2H3N8cHWpHKEk9mktNIcR3gUYT77HRtLXA/4eiTD7wYSnl49Frfw5ci7qCvEFK+cto+onA94E4cA/K1/2QIrJQ0sxxKCJzJrAapdzcehSr/D8LL5TMHGjr7JaVI1gEOVQliHpaajurBG5IdcqLCIs6oXiBhhfxg0QQEE8oUnMoHI7oHA0a/ToNYuMUA6pOw+3GjdZFkZmqo3Z2Uw+pOjpNCX92XRsw9bk9fv78ni+ioiWJ2m3nkZ8tDgk7xM7o2E0GVtrA6rQgpiF7StAcERxjB3QnEG3tYFuQ7VQXN5neuXK+eURGmKko22YcQg8ZOHOlZJFyI73KnAObmQTvAJJzII5Usqbbc2VuRyA1zxv8+fIYCDkLeLcQYjdq6wlASimPf2lX65WBk+JvR5fabDlYw91ME5K46WFoAZqQhFIFa075DgtjMXQhODatbNk7/QUATLkBpbCOJjVCERJID5s4AT4dpGfDLkNUX4yhKxKjCSL1BWqBqoTSBLMnLl0IQiEPahYPCDAiIubjz34HDQ0/Ul80Kahq9UiNCVHdNWHU/O9jYKNLQYCFJU00UmhoGAil+ghBKCWhlOgIDKGhCUFS12f5vi/BjeI0bKFTl/4sQQwI8JDYmOQDB58AEwMPH00KWkUKTwbsrqnjWLcVI2lo7CrB8oyyrL7xxE1oQqLrAXUnhusZ/J9Nyzip1ePdV97B0w+ewrrzHiG/awE/vGyG7lM2k9u8hFNP2kDTG8vUfpNA3/hFrJM1rKkxeHac+sZOlfkCCC0kDHTSl9bB91X6ZbUGmsaqa6fB9cHx+fW338T0313IglSe4fJvnne/OlzwpzIF+N2b8/47IIR4BGgC/gW4Ukq5Qwix+2jJDLwCCc2PbpjiRzd8m3vvOotFsTTBQxDriUEHuFGT99T0JNlUC8l0kjRN/NvnPscbb7wROx7ni1/8IldffTUtLS1s376d008/Hd/3EUIQhiHbBgZYvWYN5XJ5lvScddZZPP744yxdupRqtYppmkol0nX27N7Nwr4+0sCq/n7GBgfpTKdpMk06UilipokbERHf89iw4SmOP/4E8jN57LhNJpUhZsVZuHAhoR9yxfIreOiRhzhl7SnUq3WyTVnKrkvFcbBTKVzfR08kKIchfhjieh6B6/L6yy4j1dTEM9u2sbi/H4KAd77tbZSqVUqlEs2ZDEu6u7nvnnvYPjDA8pUrmZmcpKu3F9/3Wb5yJf39/aSTSTKZDJVikUxTE8uWLadvYR9bNm1hxcpjeOyxxxkdH+aKy69EonHLj3/MaaeeytpTTmF4epqOTAcb/mMDH7ryg+zO70YUBZvv24KX9TGFwUhxP/RAWm7jz069mO6+bn7w7FYSQEd7O/uHhtCBhV1d/PzrX8dEBapcAJR376YMLNY0Rvbt41vAScceSzZWpyMbsuoYkEKFevp1n82bNmHEDTZs2IDv+yRiMaZrNc4+8USaZ2Zwi0WSTU2EQR3y+UPuby5ELvuHx1GWpH4fpZjcMm/al4CbpJQ/jxp7vwScO0+KXQP0APcJIVZIKQPg/wAfAP4TRWguAQ6yWRFC3ItSYTZG835BSnlwGMarAEAYZwCRUuOV5ykBhy9dkl45CpScN0+1orptI3vlhrKiWxqGHSq1IyIHDWLgBRpVR8fzQ7xgjiAk7DnicDiiA4rs1KrMlrAd+FrghPiOpFaNyImvzSMvgSJLs+pQoNSjQCNhB3iBmFVsGvAOGAF0fUHj6nw+2TkQVUejOikxcy7gwrNV4lHiSfPShCI4zaYyKljlQ8JAVCqqHyk3rjJyWnsVCYnIjdSj/21jG8zPtHHLyoggcCCMxoIj8wbZIC313Kw5wWFJzuGUHDiYCB+tavMiKzS/Ay59qVfglYzXf2IRoJSaz/Z/kGbLQwCLM3l0EWLqAUGooUU9GQ4eKSNOZywkBPKuaubfUXZI6Aaj+phyTJMGiAS6NLCkRUHWyco4nlTqTKMnxgsVeWncmxrUAxlFWglCqVSQ+UGcashFYGPgI/HwsaIyroZSI6OzXigktoxR0orYMoaMlBovGihxhYchdWyp/n8eLho2InJLa5gLmBGRaZAyUCVxAoEfyKjcTOCFysktQM4OlxjoBNHaqc/wCZE4eARSR0dDRs93uXXWJrMUXMlYTccN4bYtq7nm+Gdo6xmnUkhz98Y/4EPH7qSzUw1QZdNFhtavplqLo+sBrVdeRkv8p/DBmxHCIBH9g5xtP8AqPAjZZhKXmYh9w4pRmuobFe5ciAwFQlOkNnPakNoooQQhqHkmuqa+Q3/qAgT67LfcW77v6HY4KZDh8x9X5Eun0EyibOI7Ua5mO3iBnmuvOELTwIVveIibli7lfR8/H13qfOj6D1Eql2hNtWAJk6AWQFmwd3iYj37kIwzZNrFYjBtvvBHP88hkMqTTaSqVCnrUOF6v11m1evWshbOmaZx26qns2LGDdDqtmvsTCcbHxynxSJjXAAAgAElEQVSXyyxcuJCR0VEmR0cZHRzk5GOOoSWRYHFPD7rnkbFtWjIZ8tPT7N69m74FC1jcv5BqtcrO7Tt4duuzVF1VB/snH/s4bt3BqbmceNyJxIwYIm5Q9H2mCgWKYUiLZVGt19GSSXwhmCyViGcy2E1NaIbBRC7HIw89REtrK/0LFrBvbIzv33orF7/mNcRtm02bNxM4DmeceSah51EYH0d3XVzXJZ/P49ZqdLS1kSuXqVcqWMkkIdDU1MSiRYvZ9OyzNKVTnH76FewbGmb5ypVcfeWV/Oqhh2gVgkcefJC2ZSvY9NBDlH/1Eya3TrJswVLC7ZJfvPkXXOxcxLNPb2LLEBTwWW3s458nJtj4xBP8xfXX405O0t3Xx7L2dn5+zz1UUSZji3p7SZsme4b28NqTjmfV8at5bMN/ctqCTlzpMlOeYs/eJ9m3FTCgtAdOWLmSbX19XLdiIcbIfdi2TVCt0mTbPLN+PenJSfo6OqgFAWby8BcsZeDQVGcOR1MFK6X8rRBi0YGTmSv9akKZ8IIKxvsXKaUD7BZC7AROEULsATJSykcBhBC3oCyYD+UbOQicACwHpoEpIcSklHLqKFb3fyyEOEmRGid3+JlCT5GZ+Yga3qUbEaG8j1sKsNI6telwtuQrngDPD1WpGTyHLMwnCorkHN06e1VtTiE5YFmJIIg+R8ML1HymISMiEeA7kkSbCZHbTzwBVCWglldx5kb7LENG5EU9nj/9UN/h8JhHeqqqxK24oYZpVDF1iZ3RaV1Thi4b2ZNDrGhSfTemqTJzmrORTXQZUl2KsLhVFfrJhJqvmFdOa27UExPkovtIwZlvJx1tMtkgMvV5295MHpro/BfDP2chxMGBqC8NXjoT1/9B+MxnPslnb/o8/7Dq3UgpMPQQIyIzjYvYx0Z7ObfFoOCq3UOGgpgukQiaDJO875IRzVRFOQqn9PDQsFDZMIGUVH2JLpRds6kpa2ZQ19QNZcYUAjRJKJVLmS4EDZHfijL4pJSRv5mcVWlMVNZLKCVVXHSp4eHjiRBLWipLRtSwZZxQRP9x6SNFSEzGCAiIyzgmOkZEZgKpaIjBXLmdJgS2DkGogkfdMFQqEmBrOhrgyBATC0eq45uMiFaIJI6Fh4+JMTvNwcMXAQE+T1an8ITLH3gq4DRjBhiGT3E6SzxR5ZJjn2F4rItYssbYliUsPXs97kya6d0LWHDVADypUX3bDTD5EPH2s9AiEwN75btg5bvwggqaMHC9PKFfJv7IP4Lr0nTpDNQdcD1wQoIJE+nplPeocMy8a5PQfQLpgVDXPvNJzdEgDAVh+LI4rhwEKeWbhBBNwBXATUKIZUCzEOKURmXKkfCKJTQAV1xxBcObK9z9H9/irR+4Ci3QGS7sp7e7l4ldkwxuLhDr78c0TXzfZ3BwkNbWVmzbRko5a7fc6KFpaWkhn88Tj8dxHId4PM65r30tqycm+O53v8trX/taHn74YcIwpKuri6GhIer1OkG1yokrVlB3XRa2tGAbBpoQbB4Y4OyTT6a3p4eYaVIolVjY24vQdJYuWUZfbx+r1q3GqdUxNIOOlg5++L0fcu17r6UShIRS4us6MhajOZ1GCkFV1wk8D10I6lKClFSEQPg+A7t307lgAfunprAXLaK7p4d3XH01xYkJYppGe2srmTVrqBSLtDU1YXd2ErcsmpNJ2tJpMpkMhVIJTdNo7e7GA5o7Orj3vvtZtnw52ZYsAhgdGSOTyTAzM0MpCDhm3Tq+8I1v8KXPfpb//fd/z6c+8UcMbB3gngU/Z2dxF6IOZ+89m+/lvo81bbJ6EchRm8ratVyyZAnDw8Ns3ryZVStWcOdtt0EQUC0Wee/VV6OXy2x84gmaFrTCDDw9+AxPDz0DwO7RPRgxgw/f8GH2ju5h4bJ+7vjnO+AYECmP9N4H+ddbDPKajuu6tLS08OzwMOcsW8a5xx5LvVCgKREn252FobsOuY8dDaE52GvqqPEx4JdCiL9FDXGfEU3vRakqDQxH07zo8YHTD4KU8joAIUQGOC1a9vVCiHZgk5TyXf/11f4fACM5V1Y0H/OdzOaj4eBVjYI0UaVetWnVs9JQampVZvtUzHlEwNTDg8jA4cjB0c57IMlJ2HMnxoaiU6gaEJXCNYwH4gmo5rRZtaU56c+ur6krkuP6v8so35ya01CDFKLnuZDgKWVj2HFeC3JLGV7fDX4F0Q0kU7B/UN1XB1UeTuP3N825x/mcmsc/xD84npybf/ZHySlFR3/uAMdsyVq03YXdcmg3Ne0F9tS8PK477kaRGoEqfV0MbGPO6v1VvIj44PY7+MdjLsM2vFki4/oGGyY72Vww6Yg1mvMlmi5xQg0/VM3+heg/F5cJaqKKJFTBk9JER6MmfUSg5tUE1CI3s4ovSRqNTBqlfBAKdA28UDQEgtmdoB76s2QmjMrHlFNZiCbBnzUGCPCER01UCcRcj5kiWz7ZMKvIhHBxhBsZIyi3N0cG2EInQJWReTKAUBEqUCpSg4A1ytK8UHXxhChFx5MhBgIfiY6mjAcOIF8AVelioiOkaioypFqL/fU6J2ZtzugdZmKmlVPe+UtY0MHQdxKc8voHqO5vp6W3TugaFPZ10X3SFsLuhXjdKpgz2XGu+r7SnyU1AKauji263Ql2J1z4BQAq+Y3gldGcArF7f4KW9vAnLJK9k8hQ46yVW3lk2yq6w37i2CSEiS4Ez7DlqPcveTQlZy9hD42UsgB8F/iuEKITeCvwVSFEn5Sy70jvf0UTGl8ImpqauOKCj7Fn+BHOPetc8rsK1CZrtLa24vdlGNA0cvk8Rns72WwWx3HYNjDAymOOYd26dZRKJWTkvS6lRNM0HMeZvU+lUjz44IPEYjFGR0dpaWkhHo/T29PDli1baGlpQQJt7e2kDIORwUFkrUZLLMbpp5xCKCXxZJJauUwmmyUUgl/ddx9nn302u3fvZumyZWzftp2enl727tnL+659HzXfJzQMymGIGwQUfZ+0ENRR5U9WMsnI9DSpVIqi5+EGAdO5HG3d3aw87jiklGzdupVFCxfiC0GmtRVD15WBgeuyZ3SUIAjo7exkYGCAJYsWkU4kmM7nyedy/PLuu/nwRz7C4M6d9PX3c9IZZ1Asl9k3NMT555wDwMTEBPFkkvXr13P/hg186uMfZzifp/3ss3nfl/6eC888k9Vdq6gPOQyuGeRXtV/BE9DZ28XIxAjtpzTzw1tuoSYEl51/Pg/fdx/3/uY3rFm2jM5UioSuUymXiXse2WwzE2OTdHV0oVkCI2GQ7crSv7KfrTu28qOf/ROWZbH+0acIjRA7ZnHs2mOJWTH+gyRLfR/HcRjYsoUuoCmRwHEcDMuiXndm63EPhaNVaKIE7/kp3jdLKW8+zFsa+BDwR1LKnwghrgL+EVVdd6gjjnye6c8HB+U1V4seL0BZHbyKI6HhnAXPn0kTeOC7qtys4MJgTSnEoNzEipFKEpVvzZacGcHs44Z60sDzKR1Ho4I0ltUoLTuwFCyegFpV0JoNqFUFXhWoPpdgNNSZfEWdRpIER6nAHBp+MKfuzF8/0whmiVejr8jzVcnd+h+VWH2STvzhKcS6ZuTeGfUnMC2YGp8jLw1TgSj6h0pERitl8A+x7ZxD9Ew1Z8GL1JlYpMYEniI587a/1CyE3jI3rZFr80LwMik5k1IeN/+5EOIPgOteotV5xUMIgxsHn+L2tUtwfJOBmVZC5sqAGmVfpibxQhW26UsV/1THoyrK2DKGL3wsGSchUySIESJJCANDKIJiCGXTbGpKkVF2w3NKjSrnUjCEIj2hVKVdptDxpT9bwuU/p5dGER2fEFd4uMJVYaDSxDjgcnNcH8eWsdlSNE+EIJl1SnOkh4GujA6AMCI1QVR2pguBRGAIgRsFfQZRBo7yRhAgNGKRA5omwYvK4gICQqlSfXR0PHw1jZCiViYmE/hIbi/sRh9cTGfM5xRTUL1X0LNuAGONRWbpBP4OHS1dp/OcTYjOFG7HQoK21Wgz26jHuwmDOpo+5xokhEEY1pFBHYSBbqTQ9BimnsRMLUbXYuiaTfjuixE/uA5zQUUxNA0WZJ5m6+Mn44hxaqLGDDAuBzHE0avB8mhKzo56af+9kFKOA18Hvh6ZBRwR/5e9Nw+Tq6zzvj/3WerUXr13upN0OntCFgIJQtiUxQkIRgTBUcZBUHEeYPQdZ8ZxZvRRZh5HvWZedwcVZUZFfZVBkEGRyLAEBMISkkD2Pemkt+ruWrqqzn6/f9ynqjsxCzj6gA6/66qrqs45depU9zlV9/f+Lr8/aEDjOA4iHudfvvhFbvvYX3NwWx/pWBo/9BnZN4LrJHnw619n2mWXIfJ5Fi1ejJSSmbNmIYSgUqkQRdqSTqcJggDDMIjFYlSrVQ4fOsTuPXu49tpr+fa3v82ePXvwPI9MJsPevXtJpVKMjo4yo6ODnbt3s6inB4SgrbOTlGEQCoHreRQrFVqam3nqiSe46MILOfu88zBNkxVnvIFSqcz8hYsYGBjg9BVnMFKroRkG23bupG3KFFxNI5ZKUZESXwhkIsGYbaNnMuzL50klk6rXSjJJPJGgWKlgWBZPrl9Pe3c3uw8dYv7Mmax78klOWbCAgwMD2MUiLbkc+w4epKuzk7hpogGmppFNp7n22mspVSr09vTwk/vu4w1nnMETjz7Kheefz4bnn2d8fJwVZ5wBQnDu2Wczd8kS9o+MoDc1sXL5ctq7usi1trLmP/8Tdu+hU0JbtofLPvoWvrfuTlbOOYunhp7mR1/7MF+87UtclE1wwYc+xLdvv51iXx8l2yaOElgunjOHgYMH6J0zk3jWItOSwY/7eHiMjIyweOlidEdn/+H9eHjMXDAT2SJ5cv1TXDntjylnXR5//HEMw+D8c86hUwi2PvEEXUuXkjIMElKSjCePe455nLw5gwQi8HIyAHN0XQd8OHp8FxPNpfqAybMV01BytL7o8dHLf62EEF9AsTJzUT6aJ4FvANdJKU+G0V6veunWkYzM5I70gTcR1ey4yIoDfgh2gFsOGszM0T6UY/lMJrMuJ/KhnKxcXxAz5BGsh6mHZLOSWMag/4ACE14pAg/+BLBIJMErQWtzQKkkcCc1aPMDQbFqHOHrgSNlaPXtTlSGLhueGzcKEYgZkqqjRbK4SCIT+YF62m0ObdEwd9i0PlckvboDvDxiRk7J+7xQ9bopjCEL44imNLJSVb1vAKoVpOshYpPYFNOcaABqTgIihUlSM6uiPDvJ5ARjU5eZ1UMJ6mC3ztS8ktQzgRphvsZKSrn+5faEeL1eeYWhSyAd/nXLNC7odBpgZtzXCCWMuYKZaZ+4rka5cV2iAYO2oBLFH6dlipqsKsmVsMnKJBpgCEHGUGb6tCGJ65B3BPWOBHXGI5CqV00tUCShL1XKmR2CE4b4UcJZHXgY6IgI/ijRVqjM+FFUc53F8fEbiWYJmQRcZASKkjLRSEcLkZioSGg30jc0iwQBKnpZFzqelI145qSm5HSgQE4sYl6MeqAAilWql4mGiYYhVIxBgCSJgSsDHOmjoVETVapSxyLOk6M2zXqMnR/9IJ9481raZwwR7tLQ2kL082ci7CqMjYHrEXv0YfRlgzi9ZyICG6RPUOsHQMSaQfogDBAGQjPw3TzUhnE1A8wMXlAjselnCNchLKn/jWhXw/S+ny3hiRGHQW1f9Dni1Pwxau6RqY0nKvlyJGcnQTRCiDiwFrBQGOI/pJSfFEK0AD9CNeHdB1wjpRyLXnPMEKOj9nuMGNkjavVJ1v9hAxo7CPjqZz/LF//mwwgheO6O9Vz215cSVH2CZJq1jz1FVwxOTyZ5KQi45557WLVqFaZpkslk0HUdz/MIw5Ag0prrus7hw4dJp9N0T53Klq1bueOOOzh48GDjfU8//XQc20YC6VSKgX376MrlaG5pwbdtDMOgXCoReh6a61IuFGjNZLjs8svxPI90Swv2+DjxWIy9e/cyL53m2Q0b6Jg+HS2R4MVt25i7YAEO4Po+0jDwpGxMtVeEIAgCEpkMY8Ui//btb3Pd9ddjpdOUCgXa0mlWv/OdPPbwwyxasICRUoneU06hYtvMW7yY8XyeXEsLhw4eZDSfZ/mpp+L4PppponkeViKBrutUKhUWz5vHz++7j7df9ham9fTgVCt0T51KuVJBTyapeh4jhQLd06ezfd8+TE1jSnc3XhBw7kUXsW3qVNY8+CAXX9HLV2+5k9x7YM33niaThNKNJS5ZtYpH7noE/Yl1hLUaFko7agFzpk+nrS1L16zTsNIWjz29FnbC2962ml19u8gXRuiMd/Lwrx5m9rzZbN27lRcPvETvnF5WmMu537a55557CIKA0dFRulpaGDNNTlu2DNM0VU6mppG0jg9oflsemuPUYeCNqLjVC1EYDuA+4AdCiM+jQgHmAs9IKQMhRFkIcRawDvhT4CvH2fde4PvAC1GYwOv1Sip0J2bgJ5nQGxVExvPAU96N2oQ8zd1vT8QkO7LhX6k6GkY0UG/PeipZLPK0HMv/cixp2dF1tKdlsp8FFMsSMyQjY5BzPJKWoBpJxurbeoGGaQTUovYxpZJoHGPV0ag4OkkrxPUFri9IWQEVR6fm6NSOgfZNI8Tzj3fcal2pqt6jIAXtRsiwrxEH4kKSTU4MTrxAkM1KfEcqgPirMfSEjpw1jljSpLoG5m2ImVB0kfk8dCWR/YVG10BZ9RS9mYsASdvkHHb1oRsAqF5WLGLdmOSXqSpwYzUd57O9wvrd9aF52SWE+MikpxpwOsq8+3r9DioVm8JbExcTSMnaIYvzOpyGo0wXMC0ZMOLoTE+GSKlS0dAFmoCsTBHg40XAoc6g1K80U9OI64KOhJJr7a8oL0rKgJIHGXMiHKCedhagtvWl8qtoQjSkXGBEACb4NVDjCa/RW8bRbJBgYOBgE5MxPFxkxIhkZQrVqeXIpDIlEdPwCBigSFamMBAN8FKXjIXQCG0yNa0BZPwoKEAHckaswTAJIbA0QTUIiWsaXuTDGRYFTFTMc1ZmsYWNKWMkhEHW1AklfOT+81i1fjnvuOxBGAyJLUor0LdkDsbAfkSijHHGX/7awDoIHRx7AKHHEcJASp/QHkbYeWR6Ovg1sIdJ/ud3kT54QyncsQ50y0P2CV741Rt4qr+bEA+TOCEBjhxvAMKXWyrl7GQs+km/dxzgQinluBDCBJ4QQjwAXAn8l5Tys0KIjwEfA/7mJCFGk2slcBD4IWr88oq/AP9gAc01QA/jzOntxbZthA4XXHgho887fOehf+V/XfVnnHv22dy1bwuHLYu777yTW265hWq1ytq1a1m1ahXxuPphqwMbTdOQUtLZqSKVY7EYK1as4JlnnmHRokVs3ryZjo4OWltb+clPfkI8HqdWq2HpOn5bGymgZ/p0nPFxTMOgt6cHr1pldGSEom3T9+KLnHbGGUjbJhSCQwMDdE2bxvDoKJe85S0UajUwTXrnzqWKiip0NY2xSgUjkcATAh8wDPVvHR0dxTRN3n7llSQSCe6++27OO+888qOjGIbBKUuXcri/n9ZcDse2CcIQf2yMpnSaw4UCubY2AtvmZ2vWsGDuXPA8PNvm1GXLkJpGMpPh1NNPZ/a8ecR0nfFajVyuiZrr0trcTNV1SSWTdCaT9JXLdE+fzqFikZ//x39wxTvega7rZDMZpvX2snZggEv/6I94UltD8/t1/CcC7vzH79Puz6PrzEuZ2d3Nvp/8hFOnT2d+Wxv5vj7au9qwA5vH1q4F4IabbiA3PcevHnsCV3PJdmTYcmArl7/7cp5a+xQ9s3oItZBUNsnBUY2tL73E8PAwHR1KjiIch66ODvJDQ4hMhqBWI2Oa9Hzr28c9z35bHhohxA+BNwFtQog+4JPAB4AvCSEMlJrwRgAp5WYhxI+BLdHub5705fC/mIhtfoBjBwIgpfzyyzis1+uoOm4/mgjUSG/8yBn6wFOyJ8+Dmo8seapR5dBEHHIdVKhBvpJSFatGI8nMsAReKXqbCMS8HDBjRrO4x6rJrMnkx4WKQcyQNKV8JUWLJF+FioEfCAxdNu7rkrOao+MHYZSOpo79uMc0CczU2RZbCuJRipN51EvbDcVgNUVAphYBJYBc5N2hKilUTFJOgJHwKB0cp7vJQA7XEG4ISbVT0Z1RLFnVV+DGjS6Zgq/ioetca+RxUjHRGqQMZNVHtE9qzeRMYnTKYxNem3haNe+sN/o8QTjACSObhXhNSM6AzKTHPspTc/erdCx/sHXrrf+H97XdzE9rTzdilEMJjw9ZnNXmYWmSFkvih4J52RoVX53TMV3ieAI7UGxJQibwRYAl4wT46Bg4+FgYeGHIuC+Iueq8snSoeBKBIBZJzUwNwuiyqETsrDoW5VGpSr8RhZwWFlUZRA01w8j9oq5tET32hKtS1zDQMRBoeLh0hh0UtBKJUEVPa0KQjTwhIWBKjWJoo6FhoWHKyPsi1H09ICCQEjsMaDJMZARY4pqGodU9QOpz2WHY+CbUADtQQQJ2GFINfRw8LCxqWk0xW9F3wQzRQjX0GXAknZhkY4KtpSQHN89h3hVP4hu9ONNPIb5pLVRr2GetggP3EaY6IPQxm5cQM3LomkUyqVRT1ep+xNDzaIZF2DQHc/9ahO8hfBcsDWGBV0yjGervL4yQGdP6eHqgi/mpBDtqHq1MZa//LJ5f/rVz6XiRzQCh1AjCE3tojt3kYfJ6KVFDHwAzuklUWNGbouXfQU3E/g3HCTECnjpq11OAN6N60Lwb9V3zQynl5hMf0UT9QQKanT94D8mNSfqGPQaHhrj9Z//F37/7XRw6vJPANLnlQ7fwzI82Mn3WLP72kx/jF49u5O2rVzMwMIDrOLzlLW/h3nvv5aKLLqKpqQnTNDEMo5HuIaXEMAwSiQSWZbFjxw40TeO9730v69evp7m5mQULFjA6Oko8HidmGKRSKYRhEDMMAk0jnUgQBAGaaZJtbuZgXx/LTjuNDVu2EIvYj/bWVvLFogJGvt/A4oGm4QFVz8PTdXTLUrMMUuK4LmGUyT40OEhzSwtWPI5lWaxevRrbtslkMgwPD2NZFp2dneTzeeKmSdyySEb9dCzTROo6ZiLBueefTyqRYHRwkGWLFrFtxw6mdHXh+j4tqRSjxSL33HMPb3/723F8n2K1SjqbxYjFKNdquELw0vbt9M6axWi1ysWXqMbT4+PjLDzlFDLZLPfccw/3jo3xrRveTpAOkG+VxIZiPL9xN+s3bGDL9u2cuWIF69auZefOnaQNg9r69Vx99dVcesklJKYk+MWjv+Diiy/GcixatVbap7aza2AXqVQKLaOR0BP4ms+ew3sYf+FF4svfzCmnnMLM3l4e/vnP8SsVtm3bxoq5czEjNir0TwxHfospZ+86zqrlx9n+08Cnj7H8OWDxy3jL1+sVVgPMNPqcmL/mnRF6DFlnb+rsTGVcDaQrPhQ8nKKPbmmRd2aC0QCVNlaFiKnR8AKp/CuT6ligZjKj0tjOUBbZiqM33mOy5MvQ5RGSMC8QDf9KvmRi6JKqYzZkZJ6vUXXEEQCkXl6gY+oKlCWsoPE+XqC2b9RxmJn6PutgZ3JAQX3f6vMFDUBTZ6/6Ry3asi7ZrKQ65NI8O6FAypZx5KwQ7BDmhpCIfu6qvgIqJU+tA3XfeByoBp/xEOIawg/B0JDUUaWG8DzINimvjRFTgNVUnioRb574YL+Jf6bx2lcf0EgpbwUQQmTUU3mMxIvX679TdTBzf+15NHQecjZwvnEqegQyzuo+yO1bZtNiSXpSNjE9wA507EAjYYS0xAL6NJ240AmkSUVUsGQcEfV6gZiKV5aSRPSegVSDfUMTKghAgBU12qxHNHtSqsSzqAwhMKVqmGli4MgADQ190qRJEAEbiReJz1TamCEVoMnIZENGlggTpEmgT5qIj2kqsMAOQuKYqrE2gpimYWmicVyBlCR1rRE/HUhJylBHYmgTLA6ohDM1VaRuXjQ+MlFALSDEw8cXAZrUIj+PS1KmGQttasJlht7E7LRkX0UwVBPcv30hPV+dwTtu+SGGKbC3tyDefyYYddmpD9LHG30BDxChj9TjaE4RmZ6KOX0Vbmkr+tAmzI3PgiYIZ84hOKQmRqwpo9QOdiA0HYSkVMyyqxytE2m2Vx9CSg9xAn/vMSs8uYcGTu75FULowPPAHOBrUsp1QohOKWU/gJSyXwgRGRePG2J0REWTsr8AfiGEsFDA5lEhxD9IKY+nNDmi/qAAzeDam9EDnWwsg7PfwRwp0BarsmTRIm79/g9YmkiwdPly7vjyHfzpqvfx3R//mMefkqy8UDEYe0slslk1C3fttdeyd+9e4vE4lUqFIAhobW3Fq8evSonneezZvZu3rV7NT++7j/b2dlauXMn27dvZunUr7e3tdHV1sW3LFkSpxNmnnsqO3buZ2dnJ+o0beePZZ9PR1kYqmWRKRweVSoWOjg7SqRS7d+8GyyIZj6NpGiHgBgFmMokbhlQ8D9vzMCxLtb+TEtt1MQwDKSUHDhxogJswDCmVSiQSCVKplGJGslkqlQr5fJ5MJkOxUEBYFkJK9CAgAGquS0LT8ByHRLnMxueeozw6ytTp0/EiCd7egwfRNI0rrrwSPwwpjY3R0tJCiKKoy7bNl26/nWtvugktmaQ6MsLArl0kEgl++MMfcu211zJr1iwuu+wyLgRuuONOPvmJT/DSli0M9/WxdetWao7DH517Ls899xxNmQzxMMStVnnDOedQLo3x0o7NEIdYMsbaR9eij2g4wmXp2UvZre/hgZ/8Aju0OTgaY970HvQxi8uvWs6OVIqlS5dSrVa54Pzz8Usl9mzYgO/7lGo1YlKSTJx4MPI7lpy9Xq+BUhjxqKqnWE0GNZOZG3dc3WoVdSu6yMM13BcmZtSsrE51WPlZYoZsyLPqTE0skppNDgSYDGAme1iAqBnmsZ/XwURmqY8AACAASURBVEydYQHlZ/ED0WBWDgwrRroteyRIK1aMBptSL/sYSTi2fxwQ8zLKRkVoKZndpJhnX2s8rzqqH0826R8B3rpaHKqOju/4WFmdxNIMDDgQ12FPFbGyFfliQfWwsRVIAaBwgiAHaICcBrCJ+kWQNJTvphRd+fVQgVQKSE28fjLYfSX+GQAB4jXA0AghFqMa7bZEz/Mon91Lr+qB/QHUrbf+nyOea+hcGFvOI+4m1vobuSB2KpqAB/f3Agpk9OYKHCzlKHkGcT0kqYcUPZ20IRh2lD+kJWyiImw84ZIIE/iEjWAbQ0DJlSQMgRtIYrpKN4vrCudHZCZuKBsAol4hYAiNJDF0RCRHq6edKU8NgImOHzEy4GPJOE0yjY5AIjGjzBkdHVNo0U00TP0qxU2Q0FQgwOSpE0kErKJwgzCSwdXbtUyeAwglxDRBxZ/YQyP6edI+dTR0dBycBpDJhjlKWpFWptBtpKgEAVlTMicjSeohuia56s9+yJ77z6RlyhCBb9D6wuOEXdMIWqYQNs1pSMvqx41fQ3oVRHUQf/wQulNCc2t4uy2QApNdeG6skTJ2eNcMRDRx1NI6xrRkQH9Npz2YwiEZgvQJT9oF78gK5ck9NBJxUs9vBD6WCSGagHui74nj1csOK4qAzGUoMNOLCgX4yQkPeFL9wQAauftTeCUPXCjlyzz/5HPMm382q6+5kVRzM3MWLqToOPzgp18g0R/nB3feyejYGO957wd5z+e+zjWrV2NNm4YQglKphOM4KqGsbjbTdfL5PLFYDMdxSCaTeJ5HLBZj04svcsMNN7Bt61Z279mD67pks1mGh4dZduqpbNu2jYve/GZ65swhkUxSGh5m6uzZGOk0B/r7sSsV7EqFxYsWEfo+dpRiNlIo4Hses3p7KVQqJHM5ap5HJQjwNI3AMAjCEFvTsF0XIQT79+/H8zx0XaelpYXxcplMNkv/4cMsWLgQL2oualkWtVqNXC6HXauRa2pidHQUI5MBy+LJdevozmSY1tLClGyWkdFRTl+6lFm9vZimSc22CaSkVqsxXi4zvbeXbCYDQtDc0kJfPk9zRwdmMsmVV1yBW6vx3R/8gIuvuIKeWbMYGBhg2bJl3HXXXfzDX/0VW7duJbViBRbw4ksvEU8k6Jg2jaFikXK5TFsux5yVK/nuj3/Mm2bOJJVK0bd3L+O5NJlchmpYRTc1/HGfuXPmEMQC+rb3MSM5h4FDBzgUCny/xpo1a5je3U2xo4Of/fjHZLNZgiAg6TiEtRpxoDQ8jBWGpDWNUxefAbv2Hve8+y021nzVSgjRjAoZaHwfSCnXv3pH9NqpY4IZODKSV4sie0N3ov9M4Cm50fCQYmcA7IBynz3RTNNS3hnXFxOsQyTJSlohxYpBosFUaFHi2IQs7GgAU6/JoKVek0EMcITsy5aCeHTfEvfJl0xsKcgYIWVfoyXuMxxJXOrukriQFKIf3jhHVkGKX1s2uY53vdRBkO2LI3ROoP4uoEIA6n6iiqMTCyS5pE8u6ZOdbuHXQtztFWLzUzBLMTVyfwWmWArkHHYmmJgpFiQ1qKqgBlom/U/tY0xDJFXAAH6o4rervmJr6usNE9qmHfma0PvNGJrXSMoZalDzESnlIwBCiDdFy84+0YterxPX0WAmkOBh85D7PACSkF84v+ILM0/liaEMLZb6FWlKVNg80oYpJKYmqfgaJU9TnhckutAoUCWIgES914qBwJEBXiTdMkJBLiao+JDQFUOjR8lnmogG/EIAEidUjEh4BOuhPCwhEjtSO5uNBpUhKRknIWN4kU+mhksMAxONGp6KTUZr+GBMbSLFzQkV++LJif43Uko1GJcSUxN4YR3IiEajz6QRpZ+pgwcUCwU0GnL6coKtARqNOwMC0jKFJ60Ga+RIh6KsMUWPUQngUM0kpknedeoGntszh413XcSCMzcAMLJ3KsP3z6B5/n7MxXn8GRcBENvzS9yZFyjGxkggs70K2AQ2WhigD+1HNFUJqzGC/RqbHzkLTQvxfIM9o22YWsistiGe3ziLpB6iCZ0kcVbGr+Fp5ycEYfEVnXdheHLJ2SsZsEgpC0KIR1ENvAeFEF0RO9MFDEWbHS/E6IgSQnwHpS55ANVQ/BVPmvxeA5qRbR8iZaYxpcHh/f0U8mNMaemiv/8wzz37HL96/Emmtk/l1De/jbJt8/h374AYaAt0Lpr1RnpnzuE9n/sXPnbjjQTpNPtLJZ555hnmzp2LEIKtW7Ywb/78BojxfR/btvF9n0qlQi6XY/6CBWSzWe644w6uuOIKtmw5MhP8qaefpqmpib39/fT399OcyTClpQW7VuP5F16gWixyyty5zJo9W0nDkkmefPJJzjvvPEYKBTRNw0wmwbKwgwBP15GGoajTyLTuhiGmaTIwMEBHRwemaVKtVimXyyQSCfLDw0ydNg0pJbquTmbXdTmwfz/tHR3s27+f0047jYMHDtDT04MhJenmZqb39FAYGCCbTrP87LPJ79tHxbYpDw/T2tpK55QpxItFOjo7VTMtxyGeyVBxXVqbmrAjhmjH/v2cOX06H3zve1nz3HMMptNUKhU2bFBfBh/7p3+iF8hPmcKpZ5zBtu3bueqqqzh8+DA7d+5k7ty5yO5ufrp2LaddcgmWEAy++CJn9PTQP3CA9/3J+1i7/jH6Rwa45spreOCeB0ikErS2z+aBoZfQrCReFIv9gQ9+kMG9e3HGx9GF4KyzzuJrX/saf/me97Bx3TpyHR3EwxBh2ySScd704CMnPAd/x31ofuclhPhH4L3Abia+yiQqhOB/ZB0XxNSrPkCtS8+izvNyMkMTS0JpSCVtmZGY+7ACNnW52ciY+tFNTe7/4uiYRkjVUaxJXSpm6iEjYxPxypMDBI6uOhNTc4784UpYAUMVswFUJlcdTFSj19gAvoYNjNoGTUJiS9EAI5MZmDq7MhmoHA1ajl5/rOU2ym2ag8bxxYXE1GXjuPpHNXIpdUV1tfts3x+n6mh0Nbuk5yRxB11indH/Z8BRoKXgw5MFiGvUDtgkOmK4RZ9gyEW31PsETkiiJ67Ym7g+AXSSk/5O/lEGXEObGDGBYmqO6lFzvDqhf6ZerwHJGZCqgxkAKeWjQojUiV7weh27jgYxk0sTsDpxFgD3Vp8AYHXiXHaVQi6fluf5kRYCCRsGpjItNc7+8Qy+BE8K+mtq+N5imhQ8P5KZgYeLhlADdKERQyAQZExBylCnblNs4v3jusrJCKQa8NtBqJpYagInVKDAC0OsCITUQwIy0eROICWeDElGDS19QnwRYEgdI+pVIxAkMFWvGiFI6TpuGDaYIIlKVHNDJe33pToGR0riQiOuK0laQtcwNeX3qAaS5KREwIoniesqzloTCiwFUhJIBdRCISCSrekIQgQdmppC0YBaGGBpOl2yGY+QAcdtyOIKruA/Ny/lxmvuobi/i8ceeiPTW4fxfYO45ZDpyuM+ZhDf+49I26C8eypNl92GO/80whkXE/rjxLMLcewBpWJpGSMW34EWc9j/ixUIIak4cTQhyVk2EkF/sZmpmSIV38AQJgaCmDAwjQyBeySgOZF/Bl5ebPPJvPhRrzovAjMJVCuJz6HCiq4DPhvd/zR6yTFDjI6x6/cAFWAe8CExIXcUKLlr9hivOaJ+bwHN4K6b+eY3vskbz30jg/sGmdI+BWfcYWhwCOlJzvnLc3h23bMcWnOIQ//+r1gpi3e/9900dTTxr1/8Vx7T17L0kqW8/7rrKAQBuUhutWjRIhKJBLFYjJmzZhGGIdVqtbGs//BhOqdMwfNULLCUkr6+Pq699lrWrFnTOL5Vq1bx4IMPNtLSVl1+ORueeYawVqNaq1GqVKiUSlx99dUUBwawazUSySR+GJJOp8kXi/ieR6FcJpHNIsOQ0DCwgwAZizU65PpBgKZpjIyMkEqlcF0XP+qrIoRQaV1CkM1msW2bdDpNtVrF8zwWnnIKO3fuZP/+/SxevJggDDnU18eUri5qvo9nmnimScX3eWn7djpbW/F1nak9PaBpDIyMoOs6YRBQrVapuS5d3d2UbRs3CIi1tBBISU9PD04YosfjnLl8Of/wmc+QBjqA+cD8iy9mem8vB4EwFuOee+7hsssuo7Ozk49+9KNs2rSJ22+/nWnTpvHAL37BpZdeSuy001jvOBilJh585CnaUs3E7BESfoKOpSv5h298gzevaiI9dSpjAwO8+ZJLePjhh9m6Zw/ZqVPpr1Z504UXsjYKFBgOApLxOG6UOhcHvNTJe2r8AUjOrgFmSymP4XT/n1cnBTN16VDgKmBTb67pjSv/jFdRbI0bpWPFTGShhjxcY3xXlcAJVbJZlGCmDPQRWxLFEteN8Z6vNaRi9RS0o03+dcZF9ZKRDSYjZsiGUb8uF/Mis/7R8jGg4YmxJ7EuRaAzYmJsKXBQ6YLHqmOBlWK0Hyt6PHm7+FHbEG1nHXUsthQNKRtA0gjomCIJnJBYxmD+DJtSSeAFQoGVnjg0mYjFWeThqOnMqIdb9Mk/VVGffYdNulljbFi9T9JSwQPm7hrJNhMjoZFoNdGbTXVxd0efOguy6iGS5oQ2B46MfY43q/Oifp4c3Vzz5dZrJxRgjxDiEyjZGcCfoBISX69XUCcCMwB35L8GwE2dN/OO1LlRw0gwNMlz+RZOax1jftchHt41n82FHBkzQIYaQ7aOKRSrAdBiGjhulhFRYLpooyp9TKGhR/1aNKHkZHogyJjQGk2mDNs6bqjimiu++pZJ6krqrnY9MXkS1zWcUDEdGqqPjR0qk30oJ1LQHECTKjDAR2BiYOOhoyOR5AxDgYpJkjGYuPelbDA4QcQUJXSNjNkIKFR9dKSaW4Aoclqf6M0z5srGcj/yP4uIrQmZxNBISUna5ES88TyuaXTGTEwNzmyrsqCln7lzdhO4JrXhJjzXpG88wyP97WTMkEW5EkMF5Z+TTwpSlo0f6ujbQ3p6D6Dp36X1rJ3Q00HcMKktuQi9lGfs2VmM9HeQax2jWMqSjDlIKdBEHDsweKCvlSVNDpuLFi+Va2gIbBmQNFqx3cl9tE9e8uVIzk7O0HQB34l8NBrwYynl/UKIp4AfCyHeBxwArlb7O2GI0aT3lf/tVsK/l4DmO9+azWNPPsr5l5zP2Rc9yIv/9Q76+/rp6Opg/oz5bNm0hZ9uvo8//39vIa7H+edP/ws3/9lNfP66L4AL2WyG0YFRdm3ZzXndPfzg6af5+ne+w9VXXYWeStHS0kKlUiGbzZJKpcjn84345ta2NuLxuDKNaxqe5/HMM8/w9NNPs3TpUoaHh+nt7aWvr49UKsVZZ53FmjVreG79embNm8djDzxAV1MTrZkMF55zDq5tk8hmiWez7Ny3j1nz5pHI5Whua2NkbIwmy8LxPHzfByGQuo4bBOQLBUQ8jplMsm7dOkbyeU5fvhzLsohHvptarYZhGHR2djI4OIiu68ogr2lUq1Xuvfde+vr6aGpqYtOmTcyYMQPXddm9ezfbduygb8cOLnjDG1j76KMsP/102trbGSqXicXjBFHqWzaVYrhQQApBLAJa5WqV1vZ2hgoF1jzyCBeuWsU/feUrfPgv/oJ1zz5LJpPh6rPP5scPPcSlN97IZ2+7ja+8//18+rvf5frrr2f16tVs3LiRhQsX8qUvfQmA5uZmNE3jwgsu4MEHH6S5uZkLL7gAbckS7nz+eZpNk7mnnMJ3XtxOvlZjxtKlaKZJV3c3P7/7bhzfZ++OHWiGwRlnncWvHn+cuXPnUi4rT8NLW7YwNQhwCwXaMmlCM2Dh0oXwy3UnPBfHOflF9BoHNC8BTUzQw/9jazKYEWLFscHNZBamDmYCR7EzdcbGraqEs/7ox6bqw2Ebv6bAjJXVoRQ0WIeqc7QXZuK5GYEP1xeN5UkraBj6S1WDbNI/0kTvaxQjX8zR4OVoM3+dFSFiXybP9+WAQSkYjZ4nofG4/hzqwcbHrqPXORwJfnL142Kin1OdCWqKwJSDAla2FIzaBr0EJDvqMi6Dtgw0zU02mpUCyNEoqSxpIrtDgk1lkm0mbtnHdyRjw7IRh12X7lUdneIBFTyQtNT/MtdpkBx00WMCfbk6WglH+GnwQiQeImsqqWG9flMwA68lydkNwK1M6NjXAte/eofz+1eTwcwnP/nxY4Kbd+ZuIgRGHcmbOm0MLWRx+wCm4TNQbCITt5ky4xAXayH3b11EzVeBAHFNMhKAHaGAXcEQujBIyiS6JrCEHjWSVClooYSUoRiajBE2TPUZM2TcV9K1mAaaKRh1QlKGhh+Bl1gUiQyKRfHCSCXChDdFeVzUtaEkZz4mBknNwA5V2pouNJoME0OArkMQKhBSLy+U1AJJUtcbnhlLh4QuSBpKGqdFeF9J36LYalMSj1jrvorGmCuJaQI/VPeEoGsCO1CTPkbEOGlRf56SBxXpEUOnKj0ITeK6jqlBe7xGoZakNp7CND2a/+gwzk+S6EKyIFsjbarr3vFNHN8gHXMYtxOECGqeyeFNS9GFpGn7XKpujNndh4gnXiCUOvv7FtCaLZIfbCcINUKp0ZQp4Yc6oRS8qdOg7JvoAgwEUywLL4R4cFLC4tdKSc7+e7hBSrkJOO0Yy0eAi47zmmOGGP226/cO0Nzzy3NZPHcuXe0dWMLEHzsLPdRYPGsxn/zfn+JPP3Mji69ZytTDU2lraSOohnynHX509xfYvjrGIlyu+vcy2PD9Xd/n1PxS3nnhW1m3cyc/uvdePvxXf8XIyAhBEKDrOuVyGSEEiUQC3/cJw5Atmzczb/58AGKxGKtWraK9vZ388DDxeJzOjg7iiQQHDhzgwQcfZNq0aYyNjfG1r32NpaecwrxTTiEsFjmUz9OUSmEIQdm2+d5ddzF3zhwuvvhitu3eTTqVombbDI+O0j1tGmgaVcdhrFpFi8cJNY1CoYCh61xw4YX4vk+hUKBarbJu3TrCMMRxHKZNm4au6+zbt4+3ve1t/Nu//RvnnXcefX1qwPWud72L++67jwOR5GzhjBlc/yd/wo4NG0jG4yycPZvhwUEK06eTyGZZv20b2ViMhfPnU6hW0aNmo+lcjudfeIGZc+aoEAPX5corr8QGPvKRj7DzwAE2bd6MAZyzeDHnrFzJwhafwQ9/mA2aRktLC9/4xjf46Ec/immafPrTn26AMU1TF+HDjzzCxRdfzN69e3niV78im81y/vnns2XLFp7ZuJF5c+dSKBSoOQ5Vz+NLX/kKZ65YwdlLlnDqrFk8+stfsnnrVjb813/R39+Pruv0Als3bKBn3jyaEgk0SyOejfOWk4AZUIDmZMOO1zig+QzwghDiJSb1CJVSnrSJ1R9SHQ1efg3MHCuqGRQbo5mIeAvSHlUD2vIYFMeQlaryWgzWCPodjISGYamzZbikBruerzU8J0ezJAA4esOkb+qyAVBqjk571qbqaEcY5EtVo2Gi93wNWwo6Ul5j+fAkqVkdXFRRQKX+PA40ozqjgQI5uWi9xcRJcqyGsvX19qTtj7dtfd8AY9F71o8lCRQnsUX7pSCHinEOnBCn6OOUApJtZgPc6AkdTs9CwUdMTyEfHEQetpWWBjASGoGr4Tu/fkUeHYFdB4+FPZA6VCObleh7alg5g/S0OHJWAuI6osNS08OmBrFCJD88Mdn5suRmcLzE7f8rFTXPy0gph4EPTVreCdRetQP7PaujwcvRz6/O3UQole9DSCWPuvugwZS4yScOlFkQLuSeDz5A6Btkzh3GeMbmvHKGx/p6KHs6h2tQDULsMGRcOnSLVmpS9aLxItYko+sUfZ9ASjShmI2YJqkGgqwmqQWqaWed8XACIoZDeWKEUKxMNVAprw4KwMiIXVF5jIrx0IVAj8z9cXRMNOKaupZiQseTIU2GSUv0PVj11eXpy8ZlCgikVCRlICEegZ24Dk1mSMIIGfd0hJAEUjQuk5QRENMkcT1Ew6ToaYw49SQ3ScpQ8dYZQ28wWjFNO8IykhQm7ZZBv+2S1HW8EHpTPjNa8qRTVab+veSn1y9ixlen0NGeZ3qmxHA1Rcp0MbUAy/AIIklXiCAINaSsR0wLhsYzOKHO4K752IGOLiQV3yAx2kbW9NCEJBuz2TfWyrhnUvYNDlVN3jL9MPf3WSzNxZmVdnk6b2KGR/LlJ5ObQb3J94lHLPKVt3/5rZQQokw0X3TE4SicEpNSnhSv/N4BmmVnnUVHzCKJCTZIWxLWJLf+7a38xb//LZmYieYLfNenNm6Tue2zBLTwkY/czPbP/4jMyun8A8/SlAnZueR6tIcsBvr76cxkeNd738v2PXvI5XLKu2KaJJNJLMsin89jWRZSShYsXIht2+i6jmVZTJkyhccee4zh4WGq1SpvPP98NmzcyOmnn87s2bO56667OPPMM2ltaaFWLhPqOut27mRRTw9D+TxJ06Qlm+Xqt7+dim3zxFNPcc455zBaKFAqlTCkhDBUmlXDIJFKUXBdEqkUlpTMnDULXdfxfZ+WlhZKpRIXXHABnufR2tpKsVhkdHSUTCZDqVTihhtuYMuWLdxyyy1s27ZNxSCn06xYoX5o+4eGyGUyWIkE+w8fZuH06Vz8pjfx7W9/m2mdnezeto3Ozk6sZBJp26RTKTLt7Ri6zqJFi6jqOqPFIpmmJv7+U5/iY5/6FK7vM3v2bAp33skS1MDl05/6FG/9wAeQUvKtb32L5cuX8+53vxvDMPB9n0WLFpFKpQjDkDNWrGBd5G86ePAghmHgeR7Tpk6lr6+PWNQH4oUNGzhl4UIOHTrEsmXLuPnP/5wnH3mEWizG9vXrSedydDY1ccMtt/DPX/0qoHIH35rJML5jBx1TOgjMAC3+8i7qlxMK8Jv3df+/Ut9B6V9f5DV/qK9SHQvM+BXFwmim6jsSuuq+HgrgudBfVb6Lww61EQ+/FlKrQnVswqA/mUEZjAbtcCSTMtmkDxPStDooUuyMaoZZ79XCpP0cqJg0CQWGGiwI0F/fhgkg40T3+6J19Z/MYvS4fq4fD6AcXSfbzkFRgzkUqKkfRzFatyA6zi6gOz7hRrNyBnpMw0hEw5kmA7Eshyx50GQgd5Yn0swGHAJX9f7pHzZIWVEPnUkHd3SIAtBIf/MCjVIpJJsN8Wsh4302euS/ieUM9T5NJsQ0hDuOtJrUL3K8Re3olSacwWuBofkyKkL16IShi4FzUf2uXq//Rl3XcjMiYhtC1R+TPRWHg1o/O1yHJXIRzTGD//3/XYEhJJ87/Zsc2jaLZKKGpUkqvsDUBOXAoz1mEXqSETlOq0iT02IEUmJpCqzENZ1AStxQEngSNxQ0xwSVKCmx4oMdKCbD0sHzJU4AnQnB4WrY8KFMxthmNMkYRsAGKbF0jYSuWJ1qEEbvGZLUdVriJlVfYmqQMSROKIjFVP5GLIqMtnTQA8UixXX1d0kakoQeEkhBzgwwNNVU1IjAWL18KRASMlpIUyyIgJgCXFVfkLclHXENOwDHlQ1WqeT7xDWNZi2BJ0PKXkiLqa7Z7oTksrk7CAIdXfd56MaZrBvOMatlmMe3ncKIY+GFguZ4jVAKSnYCQwuo+SYCSdVT+1HgS8MLNdxApxbojPsqZrrs6+SkYMi2SBkB/dUko65BygjwQ4Gpwc5CCx1xnQOVkKIbwwsl+8cfesXn3MtiaF6lFCMp5RFZMFFU/E3AB4F7Xs4+fu8ATc6y0ANJ6IV4BQ9/XE0nXPP5G7Ftm+LAIHd8/Q46//xGttebneHz+c//jDPecDZPP/Uwpy8/k7eunMeV3/wGP898GF+08rZ3vpM9+Xyjh0s8HicMQ8bGxhgdGWF6Tw8Ahw4dYsaMGRiGwcjICGEY0nfwINlsllmzZtHX14dt2yyMEsXuuOMOlixZQnd3N9/73vfo6Ojg6eef54pLLyVlGIwXi/QNDDCjt5dNL7zAs089xXuuuw4tCMhlMmiaxpxZs6j5PuVKhcAwEKZJyjQZyufZtHEjPTNmkEgkKJfL7N61i2wuRyaTIZlMUiwWGRwcxLFtKpF3xrIsRkZGOHz4ML7v09XVxZLFixkaGqK1uZlkOs2effsoV6tMmzKFNY8+ytzZs7n6Xe/iqbVrueSyy+js7eXLn/scN9xwA1OnTWPP/v0kczmeXLeOM849F9c00U2Tv/m7vyM/OoqZTPKlr3+diy6/nFMH+vjGgw9y6fXXc/vttwNw2WWXMZLPc9ttt3HTTTdx++23s2zZMjZt2oRlWTz73HMIIRBCMLW7GyEETU1NjIyO4nkenufRPWUKY8Uie/fsYUpzM8VDh/jxQw/xhqVLue/uu9E8D8P3ibW28sv77qOtrY18Po+cPZuqbdPdniadzTBSHuHU006FLSf/whgHThL++lpnaPKvN9k8QR0NZuo9ZurljB0ZBhB44LvIwrhqyLizTLC3il8LqeY9Jk8+TWZnQA3qGw0mdUnZ14hHUqu4UM8zRhj5ZDT8QJC0wgabUE8++zWZGQos2RwJGuoMSp0lqY/v6+DlaCP/ycCJdZJtTrS+zuj0MgG06uCuK7r3fI22rEupJPAdh+x0S3lduiLjv6EhsiZyyGn0kqltKlPusxWQdHSGKiZUzCMAY13iNhnYQf1/ofoCJS3wHR8lAVc/m4Eb4f8i6GMeelJDnD4GqQ41zeiNQ6LzJH+145Tg1Q4FOFdKeePRC6WU3xdC/N2rcUB/SHVj+81HRA0vyjnce2ji/32uOR9DwLgvqQWwrNlh7Tcu57QzXuDnj55PwdMZczUqfkhcMxiN2kkkiTcYEk+GmFI9roUBCU2PksqUOV/1oVHv1xGXjDgCO1AeGzMiHe0AMqZG1ZcNA7/OBBOTiwmKrqTVUsCh3qvW0AWeFASRdMwQgoofMUamwIsuv3pkNEwAOytKXUtGTHPCCDGFJKYHZAwfISTxqBePFSW9OaGGpU3Mx8X1gBHHwBDgSagF0BZXn88OZKNPTdIQKkWGhgAAIABJREFUpKSugI+EtGmowEMLDlRC7ECw4KKn+fsvX08tEKzuGSBtSn6xbxYjjs7UhEdn3CFfS5IwfFQXG4GGpOKZVAP1XeEGOknDRxcSUwvxpAB0Cp6OlIIRxyBhhAzZJrqQ2IHADgwCCQcq0JXQ2F2xyRkKIG0J+vlNKpTipIDm1U5ljaKg/x/gT4EfAGdEcraT1qtIav9mNVYoMF4sc/jQYfqH+lm/6XnSp/4zpUqVL3zhC3zCX8je9/89N3/zfr785Y0ErOZTt/4H4PPsM+v527+7g6HBM1j78MNcfvllrNv6NIFpMjQ0xJNPPkl3dze33XYb1WoV3/dJp9Ok0mmklIyOjjZSxIaGhkilUmSzWZavWMHKlSvp6+ujo72dqVOnsmbNGoaGlC3hjW98I7VajbPOPJOuri5OWbiQ3QcPsi+fRyQS7Nq/n0Ktxow5c/jLv/5ruqdNU4ONdJrenh6K5TJS10lnswhdp1qtUq1WKRQKXHjRRUydOpVkMsnoyAitbW10d3fT2traaAr63HNKPpPP5zFNk8HBQZqjdUII2tvbKZXLHD50iOamJuKpFEtPO42ly5cjLIslp53GM1u24HkeufZ2Dg8Nccdtt3HVdddBLEY1DDEti5rrsuK888hXqzy/YQOlWo3QNEk3N/PlL36R9nKZnfffzz1Vl1qtxvDwcOP/umzZMp5et47Ozk4qlQrxeJzm5mYKhQKZTIb29nY0TaNYLNJ36BDlcpklS5awceNGhoaGSFgWTU1NXHLBBaxYuBARmftNFAjtbm/HkJKb3vc+fr5mDcMvvYTneRhAdvdu5nWmyXRl2TG0g5HiCOd9/+XNftRDAU50e40DmueFEJ8RQqwUQpxev73aB/VaqCOkQX5F3UJPMTP2KDhjE+uPJTMqunDYxi0HVPNeo49K1dGoOTplX8Ph1w3zthSUo4QxoAFq6mCmq9kll/KjxpfqK7y1OSCX9BtxzAUp2Brd9qJkXFUmQMVkEGNNuk2uo2VjJ6uXw9ocva/JkjQLxQzlUKCiDmRGo2VtWRfTUN6X5tkJ0nOS6DOTcEoaZiWQe8aRB6oTkct2gG5p6Jb6uxcrBkVgEAXwBqVgvxQUobHcqa9Hydz6fC1qKKqAou9IAldJ3gDcso9b9qmNeCpRDcAem2DrQleB4gj0vmy5GSiG5mS3E5QQIi6EeEYIsVEIsVkIcWu0vEUI8UshxM7ovvlYLz/Brn/vxg2vpfrkJz+ORA3ed1dc9ox73N0nmWLF6ElYrLR6I4ZDMuI5bBovkzU9hJAYCZu8HccOtEg6Jui0DKbFVW8Y5ZOZBNbDkBBI60aDftcFVPyQuvJSAJYGGVOBipQhqPoqFazqK1ZGMR2SmKbREtNJGRrJ6PxLGyr+OZSQUhlEVAN5RA8bUMca1wWx6OyxAzCE8r3oEZhRnhhJTJPoQhLTFZghWl7xDZxAj8II1Da+FMT1EDvQ0IBqoDPqmiSMULE/mmRqImTMlYx7kkqUVqgLQcENsMOQcrRswA7IxSBlSN46rcZ7Fm3n0197L7vLkqkJny1jLdiBYFFTgZlpBzcUVHyDmBYQRlKuOqhRDFHQkHhVfQMnAhOWpmRzbqgS5JwQBmo6ZU/QX9Moe4JxX1ALlOdnV9nizZ0Gi5sgbcIu5wl0LUfMmNI4p15OyVAjPMnt5CL6300JIdqEEJ8B1qNmjk6TUn785YIZ+D1jaNZs/WNqnodbHscuVinmi3TP6Oaa/w1n3znEjTf+O9/75mauu+4qPvKR9/D5v/oBy89ewac+eQ+EV/D2d1yKrs+gc8p9LD77KnZtXEtl/eOczVQOFIusXrWKA4ODfPzjH2dgYIAgCBgbG0NKST6fp729Hdd1cRyHdDpNEATs2bOH5cuX8+ijj7Jt2za2bdvWiEbevHkzZ69cydYtW6hWq+zavRtd1zEMg8FDh/jIBz7AXffey9/cfDPrnn2WuGmiAV4QYFkWadNEMwzGHQdTCJwgwNc0FSFtGPT29jI+Pk6hUCAMQ2q1Gq1tbWia1jD+F4tFzjnnHA7s308um8VxHA719VEoFpk2dSrLli1jeGiIzZs3s/ryy5FSkgxD/CiAQCSTtLe24pXL6IkE/cPDCMPgj9//fprTaQb/f/bePE6uss73fz9nrb27q/claychJCQkhD1ABARJEBx0FBhBRFQcRxxF587qHbw/Z8ZlHJdx4h1EvYqDoOICCIqAQSEhkEQIIfvanXR3eqnq2pezPL8/nlPVlRhIGHSAcb6v13lV59TZc6rq+ZzvZ0mlePiRR0iNj3PtdddxKJWipbUVIhH0UIjRsTG+tno1Xe3t3HrjjazfuZNwIsG2sTEeeOABhBC84x3vYGBggBtuuAHf93lhyxZCoRDr168nmUxiWVbdZEHTNJYuXco999zD6NgYfX19+L6vMoJ0nb27d+OUy8zs7SXtOPR1d2MDkyMjzOnpYf/+/ezYsYMrV67k9p/9jDDQnYBIc4TTzl2GmTDQQzr8aPMJ3ZMOUZzjfoxyx3n/Va2auO/shnl/ULbNL+ZsJt21Rwj/ATVQBZU341dVR8Z3wIwoy17dVMnx5tSYL3ewTKZoELE9HE/ZIMcNn2TI5XBZ3TtloJOGLBaoWyWHhJzKhAmE/lVX1Ds0QECl8mhLVHk2FTqCGtYIGsoocNAo/j8aiNgcCXROlF52ovVSAKnWMapRzTIoYJMMuSQSknhfqG61zOwIDJWPzJXZW6K0OYdX9etdseG0RbGic0AKGiDob1FFa+dcc2arnbftavQYfj3/J+J5mLqsU950SyPcYSGajjoz+yic8GI6rGPV78blrAJcJKXMCyFM4AkhxEPAW4FHpZSfFkL8FfBXwF8ete6oEOJMKeUR9qpCiDOAMf6njlsv5my2+8tphsrq7jKEEtr3RUIMFh0c6eEiMdEo4+DiM9uK8+tRwYWaj92bImY6VAsmnoSEqTokugZhXafoujjSp8O0yLmB1XJgrxzRBEXPV+J4IZRrmFSUppGyYF7cRWAggZwjsDRBq60MA+KGT9bRyThC2TpL1T2K64KiVANJT6qhsKlB3FTdENNXVLeQrjpFYV11SwwBTaasU+6Aur7HRwRAx0coLT+2Jil7mpoHFFwF0DTUj1Xe0QkH35HSUdqUhOkR0jUmqxq6gK6QZGvWI6Rp6EJQ8DzyvkNMM/GkJOd6tNoGc+JVyp7Gst5BPE/jfeeu4xO/WM7mtGBFp8vZ7SkG8nF0oY6/L5rHNlw0obJyMpUQuvCxdRfP1zAtH18KSsExVwJdTcz0qFQMTE1du4KrDBlqVDtHxV0RNVTWlY/Ak4IN2RxS+kjp4vklTKP9hO9J5Vp3HA3Nq9eiOYD6bvkm6vnbTQ3WzUgp/+V4G3hdAZpYaxue49DW3obe5POje3/M5F9+mO/97K1QOQVNvImb3ns+mcwhvvUPd9Hb3ctJvfM484wzcG0PLVYgNTHBzJnLSbbMYXTGAKefXmDXpmd5Hug//XRCoRAbN25k3rx56LpOLBajXC7jOA6Tk5OUSyW6urvp6OgglUopS+JKhYULFzJv3jwee+wxFi5YgGmahCMRfvrTnwLw8Y9/nHVPPUVXVxe2beMCq7/2NU6ZM4cHn3iCGT094PukHYeQrtPV1obUNCYqFUQ4TMlxVB6NlIhSCTyPSqVCOp0mHA7zwgsv8PDDD3Paaacxd+5cWltbcRyHvXv2cO7y5ei6ztq1a9E0TYVutrRwzrnnMjAwwPYdOzht6VIef+wxzjzrLEKhEBPpNNVqlSd/8xvOPOUUNMdh/e7dbNmxgxVvehMP3n8/b77qKjLFIj3TpnH2BRcwkc9Tdhyy+TwLFiyg4Lq0dHRQBJKdnfyvz36WjlNOobOzk0cffZTp06dz2WWXcfvtt/M3f/M37Nu3jwceeIBcLseSJUuIRiLMmDmTu+66C9M0kVISjUZ54oknmD59OuVymXlz5/KrX/+aWTNmMDY5ia7rxBMJIq2tZAYGyDkOI9ksMdtmvFzmrNmzWfnGN7I9l+NvPvIRtj32GO974xv40p1fouAVKZTz3PSB9/K9rMc7Hn3hBO5KK5heqgqv6L7/fZaU8sJX+xhek+VVp3QyDRQzGdgz14BNPXfEKSo9jRmDSAQRjeBXM1BWzmYAwymbsO3V6WPbXY1uppzDDqPAxjBKFD8sBd3APimY5arQy1TZoFjR61S1oTKcnCyTKVj1rs+skMu2skGEY4ORGpg5YtB+1DIn2pX5XQCeGsCqaWdqoKaWSRNC0cVKRQc3sFZunhuAmaSpAE1Ih01Z8ruLWHGD0Z3l4HrDvrJRNz04XlWOWq5+LGWDJpQzVNUVNEfdgEIIhi0Id1jQZEEoplbUTRWsCkd076TccOJdGvHKAI1UqYSBqAszmCTwFuANwfxvAWv4bUDzFygL1v8HbAzmnY6igVzzig7sD7juWfxO/u+uCm/tg105m1qI/ZZsGQ+fSZHFFz5FkaPPmwb4HK5W2OEUmZZrQtg+SbuMEBGyVQUUYqYIbIw9EppJq21Q9iTNlk7FA8/zcHyfsKkTNwxcORWN5UtImD7TIx4FT2W8WJqkNyKYG69Q9jQlttc9uiM+I6UQBwomZU+BolwQs2Vo6sYquAT6lqmQTl8qmpcZWEKbGjSOqQXUO1Yq1FNdlIKr02K5mJr6t6FJ1WWSAl1IKgHA8XyBDxwq6liaAmBhw+eFjElvxCfrCKZFJJOOoMnQ0TXIOT4aENPMQGekwjyjBuQcnRnREiOTzRi6zwtbumkLSeKmT9XX2DCepCPkkHN1Wu0qnhR4viBVCVP1daKGQ8hwcYIAS89X3Zq4WcVHWVtnHZOYobo3ZV+tn7RgpKyua1gPrhOSaVH1f+VJ2JeD3eJ5fL+MpoUQQkPXbD75yU+dUJfmd+Fy9nuszzHFeDs6W/mE6nUFaITnYlkW//KlLzP+ntuQH/wY3/zbKDf96cexExarv7qa2ECMfEueW276MEKAI1zau9rxoh4joyPY8SZ6uhcwMrKTeMdSPvOGx7gtNZOBrI+u67S3t9PS0kKlUsHzPEqlEpFIhFAoVBfdDx06xL79+5k3bx7VSgUpJYlEgnQ6TSKRQGgaF6xYwe23314/9n/+539m2bJlVCoVzj33XPbu3csjjzzCGy65BKulhWIuRyaVYuLwYU6aPZvnt21jxsyZpHM5evv6mMznKefzRINcG8OyKDoO1WqV8bExEvE4K1asYNasWYyNjVGtVGhuaUEIged57N61i507d/Kud72LRCKBaZpks1meffZZFi9eTLlUIpXJMK2nh2e3bqW9o4PhoSHmzp1L1TCIaxotySShZBLh+8w99VTS2Sx9fX1s37mTXLlMPJkkbts8/8ILzD7pJBzf5/vf/S79/f2s2bKF66+/nu9+97ucc845zJgxg2984xvous5br7qKAwcOsHfPHs484wzWPP44mzdvVl2ap5+mubkZKSWmaXL6smWse+qpunX20PAwJ590Eldcfjk/fuABivk8WrnMSLXK0MGD9HZ10d7cTEjXecdb3kI6FOLhJ5/kULnMmkce4cIlS/izz3+Jc+fOhRSYvsnoyCi9vb3AiQCaGFMGti9Wx0uq+a8vIcR1wF1SymMaAQgh+oFuKeUT/7VH9ipX7Sm6Xz0SzHhV1ZVxCki/CmY0oBUVp7ozNcteKwbdfYgDKdz0FBiqZcSUAxqYjQIzSaYoYY0dBIDtqAH9s0BTWVGmumuuaCjXr/GsdUQQZbGisyjq8KuCeUS3pVYvBWSOVS8FWl4umGncb6NGp2Y4UDueYThCWxSxPcIRiHTYxOYENDOAvUXAUf8u++iWxvDzRZXLY/hki8aUNTXHDgF9qfOoXefaugSGDKWKTjiwym5POMoYwNSUw12kou4FO6kMAWr2zXbyxC/U70hDE2RFbER5n/yblHK9EKJTSjkMEKR6dxy9npTyaSHEmcCfoYJ3QX0hniWl/IO3eH+5ddcp1+EjyFYN3j5Nsr9gI4Ft2QpVPCZFlpQYoeCNM0csI0aMcS1FUeQIyyitfpLNaY3Vn38PVy9/gicevpAmS3VLJquSSdfBl5ImwyQXhL0WXJ9W2yBuGpRciakJdA1aTclYRdSzbrwAXegC5sXL6JqP62sk7QqHS+FAjF/l2XQT8xMFDhZNooYCJ7WuTNVXQKb2Y+JJ1YXRtSDY0p+yWtYDAwAfQVz36+u4gaYnpCu6W9TwCQVBwmVPQxMCQ/PRhPLh0lCOXZYu8T21n5IHti6IAwkTco5Gqw15VyCAsCEoBSiyFgyqCyh5Po6U9EWVLudAIcyjIzFObnKp+oLp0SpZR3VYbN2n6Gk0my4J08HQfCqeQchwEQGNTxc+QlMGXW4Qr+L4GromMYSi0ZV8DVOTSk+jSQxN0BESFJUcEF8qtVPOgdGyz/68yvhpFX3MCi3EFR4VUeagt+W4xkS1kgj848S9vFouZ1LK217pNl6zUO3o+umh9xOKxfjXf/1Xqh/9Gt/4S59Y6q+55cMfxrIsVn9lNR/64C3MXTaPOd4cfMcjnozjhV32je7DlCZfv+MOkskE9z9wP4lElki0yMVvehOjE2OUKhUKhQL5fJ5MJkMoFELXdSKRCJ7nIaUkmUxycHAQy7ZJtrQgg6AmPwjDnDVrFkuWLKGttZX77ruPjo4Ozlu+HIBLLrmE8847j1WrVjE4MEAhn+faa6+lZFl86tOfJtHayqNr1mCEQvimyQ8feAArGqVn2jRKvk88maS5vR0rHEYPBvPj4+NEIhF8Kenp7eXss89mfHycxx9/nEwmw4YNG4jF43z+859nMqOey377299mclINsC1LdRbGx8Y4ODjIBRdcQMl1mdPfz4EDBzht2TIWLFjA8PAwse5u/EiEeWecwRObNpHOZikCRd/HjsUINTVxcGgIR9eJtbUxOjFBrljEjsVYefXVfOxjH+POO+9k1apVPPLII2QyGW644Qb279/P6Ogo1WoV3/fZ8sILXHnFFSQSCWKxGKZpEo/HmTZtGitWrGDtunXqnH2ffD5PuVwmYttsef55ZLVKSNcxgKhh0B6NsmjePErZLNVCgclKhXw6zXmrVqHrOh7wzLPP8oEPfpCRUolTTjmNnt4eOkIdRCMnGoYdQ8W4vNSkv+jar2K1ouyavyGE+DMhxDuEEO8SQvwfIcTjwGdRTYP/1nUE3ayWJdOoh6npH/yjhP9+tW7ZXC/dVPqJGrBpUp+vtgXRenZMNgi3TDZMZQKb4mAzmYapNpiuDbhDTGlhGiskJCEhidgeiYjLQME8Yr2jq9b5ONE6lsbGfpHXF6tjgZkavaubIwFME8rGuZupm9CtyLp2hb1F2JpXtDOArXkmXsiz/3l17cezZt10oQYSy0e9Nh7XsY79WOfcWK6naH81HRPZKmTSEAi0pZMP7p3gfni5bme1EedLTdAmhNjQMB0h5JdSelLKJUAfcKYQ4pQT3b2UclRK+fdSyrcF0//+HzBzYtVIN7vrlOvwpKIZmYFwvTdSZVasiodkQD9ARZRppoPFYjk2JkVRpCAyBD0Jus0IcVOQc3XseBFdU5Svsqd0MgCm0Cj7ysJZE9Biqe8aPXD70oK/867qAEQNpWPJOWq7Ed1HAq12mSarSsRw6gL8gUKMnnCVzZMxKp5az/HV9gL5SQBeqOtvLF0EYZtTzUYhlOg/pIMu1GBeA0xNBu7nat14YARgakobU/Y1KoEdcs4xqAbgoOKLeken6KrjKbqCsYoeGBzAZBVsXZKuSkquxJXUHeDyvkPR84kZOtMjBnFTUetmREus6CwQNzzabfX57QhVKLkatiZpD3KqSq6B69fc3oQCNUIe0Z2xdRdTU0jH8TUKrknVV6GlVnA/CKbOXQtAny/VT8ho2WeXO85BN0cu+G3JaTk6iGPLELnyrhO+L30pjju9nut106H5+r/fzg+5iL+9uIq2V/BXf+3w6es/zfVfvh47ZsN6+MpH/5UPve9DfOWBr9C2tp3R/CgrrltBe6KNocEheqe38vjjP+fd776GoUOb8Lwok9u3sbQvzBsO26x96inOPuecujuY53k0NzdTKinb/Uwmw8kLFpDL5WhrayMejzM4OFgX33uex+LFi48ARkuWLsW2baLRKJFIhFKpxEM/+xkXX3wx06dPZ3x8XHVVJiZYeOqppEol2oXgqne+k3Q+j2YYxGIxhGkyPDiIbdtY4TDFcpmmpiYGBgbIZbM89+yzTKRSdHZ0cMUVV9Dd3U2pVGLTpk2cdtppjI2NccsttzAwMEBnZyfDw8M0NzdjGAYzZs7kjDPPZGxsjJHRUcLhMGeccQbZbBYn+HH+2te/zsUXXUS5WKStr49oZycHR0aQmqayaLJZWrq7KToOkbY2dNPkO9/5Dn/0R3/EP/7jP/KJT3yC6667jmnTptHT00MymURKyc4dO3Bdl4ceeoilS5bQ29vLj378Y1pbWxkdHaWlpYXBwUEOHz7Mvn37iMVijI6OkkwmVbip7zM+MkI2laIpkcArFvFdl/ShQ/T397N+3To6YjF6Ozp47Oc/59yVK4k0NVEsFulMJrnissv40urVtAHrXniBm//4rXx99X8wZ8WKE7wza4Dmpeq19zGTUn5JCPEVlFZmObAYlS+xDbheSjnwah7ff2kdDVh8R4n+maKYSSevEuDN6JR2RrenOjM16lnt1TQR7Un05Rn0oQrm1gJR2yNbNOoi/0bAUmSKcgVqIF9zJOtmSqBfU2WEgI6oQ3PUZTxrMuYahIA2W1GiassWOZJGVQMSL/ZErxFoNDp+vVjV6GIvNvB/se5OTctTA3TFhuM9ujqBpohLYpqNFVc2yWJJE3J7wKaadCmNVsmnfTIFm/GsyQEpCLmC4YZja+zUNB7ff6bCtofrCQxdmRRwWgISlrLrdhzVpatVrevnVU8c1NQeQR+/xqWUx+WwSSknhRBrgMuAw0KI7qA7083/hOr+Xuq7i66j4ikNiS58vrMvypV9Dp4U3H3QodOIUKFAVRZxqRAmQV6osUZKjJD0u9AxkPgMOnl0EefUZAqvYnLdwq188/mFZB3oMXRGSirk0g8G6o4vMYUkYSktS1inHqJp64oOFjdVjstkFTyp4UmYFauSDBdpihTIliLIXIKJikVvpIQQkg5XR2AQ0iXpqsahoo+lKeBiByGZEUMEAn9Zd0Or/V2joFUlgKLKmUEnB2odFx9L94kaLiXXQNckppQUPY2I7lPxBRVfDwCAoOoJHF/tHxQYyAVan1qNlQWmAA9lIy2EoOL7GAhyfpWirwEWzZZGuioIF8NoKMOCii+o+gIwiOo+EcNDCIkEso76vo+bVSJmFU1IPE0jalUoVi2kVLoXXfPrNDTX19DFlAW2pfmUPA1PCkK60uE4vsrm0SQMO0UqWhkfnyFxgCbaaPeTFHBoFTGWRK7l2eJ3T+ie9P0TcDl7tW3OXkG99kZax6i/+IsseyL7eF9Pkn/4p0/BVnjvde+FFNz5qTvBhA/e/EFW37+aZpq59e9vZXD3QS5edBH/8KV/oHt2Dxe+ZTmHtk9w6OB+XtiykUsvXcCjjz7KjD1r2d4d5qZZN7Hpez/mvrExVq5cSaWifvoOHz5MU1MTQghaWlpIpVL1bJR0Ok1zczOWZbFnzx6y2SyzZ88mFIjhzzzzTOLxOMvPO49vfvObbN68mUJBce/L5TKf+cxnuOGGG+pWz/c/+CCf+MQnGB0ZwfV9Nu/axYL58xnLZonF43R0d3NwaIh8KkVPTw/CdZnV31+3mh4fH6dUKpHNZDBNk0qlwllnncXuXbs466yz8H2ftrY2xoIAUIBZM2fS0tKCaZr13JpyuYxlWWx45hlm9/ezcOFCpk+bxsjICNNnzOD799yDdfHFdHV04ElJormZouNgeR5FzyMUCjGZzXL55ZcTjUbp7OykWCzS3d1NtVpl44YNZLJZdu7cSV9fH6VSiauvvpqvf/3r9f/ziYkJ4nFFo7QsC9M0KZVK6LpOS0uLygnyfSzX5aQ5c+hftIif/eQndLe0ELJtso7D5OAg7aEQlXyeRRdcQKyri22HD/Pwxo1QqeBUKjxy1130t7XRE4+zbfNmvhN0eN5wxx0neHdGmTKYfbF6TXZokFJ6wC+C6Q+upLt2KjcGphzM4LddyzTrmH8LM4bUGgBRTTfhOGCYKuAxpNFzThOTu4oUKm69S9PJFICpDexrtR/oYArA1PQkwyjBfAZIeoKdo+E6oEiGXExdSWVrXY5ywz6KqJFrB8emYNW6JY2D/BMFNY3UsRczGWismm10TT/U2KkKBfPTqGuUDLlkigZtJZ9KpkzrjJByM0uaSjdzsIxbUqL9MVdjP0daTx9tS91YR+tljl7maJJYze65lltjGZKOeSFExEREIxCOgmmCGVFaq1oFnbyX5XL2CilnQoh2wAnATBiVIfMZ4D7gBuDTwetPXtGO/qeOqF9+dph/m3cTWcdHF5K7D4QYlOP4osCaw91KVE8VCYzoQ/R6szkgtuELjxgq/X2+fzLPiWdoE9Px8TGlSc5VWhbddvB9nSumH+KxoW6yjkZI18Dz8VDAxhSCvOfjVJT4v93WqfpKc+MEkjPHF2SrSthe9gRRw6fi6Wwe76A7UiRdscm5Ov2xPL2JDKP5OI5UyxlBrkpHSKubBJQDsX/N3cwUAlcqG2gruJcdXy1j61MJimVfYEhFNbN0H0uTlFyNsmcFZgACN9DNZBw9sIfWqPoSKZUFdNGtdW/UuYWDn1xX1rQ9U65rlqYx5lSwhVooJAxsoUDgZFXj5KYqBVen1XY4VLQJ6T5R3ac7UqoHYRIce9RwSVgVpBTkHZuQrjrI2XKYmFUhUwnhSY0QLrrmY2oeVaEzEQChmuFB1hFYmtp/rflqaXC4JMmKPDViXoucYof6+IwySUSGT9jlzEfDOw7l7NVyOfuxDrb1AAAgAElEQVRd1Gsa0Lzjz1+gqxrnc5/7nEpeCsFH/vSjfPHXX0DkBe9+243sSu3iyd88gXAFH7j8AwyMDfLtH36LUCLMnyy+lsvOXIk7w6W5uQ1i+4AYb3/7dWSzm/n3Fe1kLvsz/GwG7wceZ3V2MPGbZ9na00NHby89PT1Uq1MDm/379tHa1objOIRCIaSU2LaNpmn09vZy8sknMz4+DsCyZct4YcsW+qZN45577mH58uX4nse6p57ivOXLCYVCfOxjH+P555/n3HPOwTRNbr75ZjKZDG0dHTw7NETvzJnokQgh02QilcIwDJqTSXTTpFwuEwqF2LVrF319fUfQs1zXRdd1UqkUpVKJpaedxtDQENlslsHBQXp7e+sgTQjB3r17OfXUU+no6CCfzxOPx+sApFgsMnPmTJ4eHGTR4sXcfvvtdHV0sOL88/GAzZs20T9vnsq7OXCAWf39SEDXdQYOHOArX/kK7373u/nRj37E/JNOwjRN9u3fj2EYtLe3E4vFKBQK3HnnnQghOPeccxgYHMT3fQ4dOsRJJ51EKpViYmKCvr4+isUiTU1NVEoldNflTStWEI/Heerpp3HzeeaccQbDe/bQFIkwu6uLrdu2cercufR1d3MwlSLW3k4ul6MnHuddf/RH/Orhh5k8fJj+piaWLJxJk64TOu882HWibVyL4w/5Xr9fEP8dS8oNDVqZmkamcuS/NQv86pGD0qCEbqkn7TW2WSP40Uy1LccB20J0N0PYQI5UaAaquSylgzq4oj7QrgGJRlAwEwVAhhver3V0tqO6NtsCh7Q5hk9TVIGZQpBJMytZZjxrUXa1I+7O3xJLMNUtqQ3ma5qe2rE11rH0J0e/92L0rcblMg37rJ17Ovi7iAI2kWC+oUuitkc1J2k9OapGLCmH6oEcXkUFZg6OmAyVDbY3nEflqP01HsfRwOVYYKfx3G2O/Sk3dX/KEADAtiB6lLuZbk3paU64xCs2BUDdJt8KdDQa8D0p5QNCiHUowf9NwADw9le6o/8pRTNbHr4RgeD7gwJdGIyQwhVpJsRBpPR5zgFbhvCEy26vQIfsxkBjtjyFZsKs9x9noTibMg7naOewWw4rShYGn79gK7tHeiimmuibdYD08wu5uHeIXZNJyl6EgqvyYhwp67qUii+xNaUbKftT1KyafbIRAA1Lg4NFg6yp02q5jJdDdIRKzExkMDWP0XycVNWmI6Q+KSXXQBcwUjbIOjXqmcQT6gm/CKhoTv1xv6gbP1ZUdCCWpihhhgBfKO2GRAPDJ+doKgtHqA6JRIEugaKPmQEIUxNEDHVe3WHJZFUtnzDVdkKGpNmCoaLAQ+L5kpDQKUgHC5XNU8FnQuaZqSfRgFbLwdJ8DE0SNnyaTUd1W4CI7pJ1LJzAgdKTGhPlEBJoC5Xrts2G65EMl6i4Bo6v4UuBJiROQ4fE8wW5oDtTczozA/2MoUHKcdHQiEjV8a0I9e3rSBcXnxaZ4Felr3MZJ2jbLKnbSL9WSwhhA29D/QzWMYqU8v8cb93XJKD54F+MkGhr4tNf/iduW3kZf/muSyA5jy988QsYVZeP3PxRmtuamdDGqQxXuPrqa2jv7GCiMM7Mnk4+/Od/zoMPPoiTc/jZgW/zpxf+Pb7rA2388dtXMjT8ENO23kn0iiuI37uVcGuYWKibsy4/m1XXXM5XvvofvDA5iW3bmKZJNBpFCEF3Tw+2beN5Xj0rxfM8PM/DNE2Gh4fp6upi9+7dHB4Z4cm1a3nTpZdi2za/+c1vKBaLXH/99dx555309fXxyKOP8pGPfIR0Os3q1au57bbbGBwcrAMTXdcplUoMDg6yfv16rrrqKkKhEDu2b2d2fz/ZbJZqpcL+/fuZMWMGsViMarWK4zjk83ls22bvnj34vo9lWSQSCTra24lGo3UNzoyZMxkbG+OhBx/k9DPO4ODgIHYoRHt7O57nYVkW6XQaTdPYtnUrN998M2Ojozy3dSuhUIj2ri5KrssTzzzD+eefz9atW1mwYAGe57Fo8WJmzJxJtVplxYoVNDU1kU6ned/73kcqleKOO+6gt7eX9vZ2rr32WlavXs2Ta9eSSCTIZrMA7Nixg+7ubmbPnq0MEMbHuXzlSp5etw7bsvB1nc6+Ppy1a+luaeH59euJmCaa43Bg3z46W1q4ZMUKqkLQ3N7Olv37yRw6RFc0yh133kkHML+vD+F5nLL0FF54eisTzzzzMu7WE6GcvTY7NH9odYRepgZCjnIxU/MaXKlexGpXekeCHWHG1LI1/UwhD6VCXU8hliaRoQwdIQ33l2nMtEUqEPnXAEITUxQxGubBFACodUzSqO5NCOpgBpRA3bAFE2klig8FgCYkJAekIMlUcKXNsTsww6hfkv0N8xq7F0eI5I+a17itFwM+NdBT23cj2GjUETWhwJplSCK2j27rTGwrEJlwiM2JUBytUs25uBWJ42pHnNfR+6vViZoY1DpVL9WhMnRJIiERb2hVI6ogXRwrpgCx9jI1M431OzAFkFJuZsqWvXH+BHDxS+5eiPuOs+0rX9HB/TeqRr3Mk6VvAzAvuorJBgmihk4Xc5DSR5OCcGAk4wf6Dw+PonS4ofmNPJXJIpGMegWiRFkcaeHjZzyP4xpcdOkvqWZiJC4YYn5F3V9d40l25xbjSYEpBGVPgZoa5aro+YFORWOy6iGEolCFdLV8wlKdk1CQ/ZKwHLojBZKRgkq49zXCpsOy1jE2DvehC0X/ihoei5srPD0RpepDwhIUXEkoyLFRFsFKrO/6iqLVH5PsyQvKjgoz0FDgp+orSlpEF7TaGnlXBF0KNdCvTQL1PKPiK0BT8hSYSlXU/JInaLIkji/qlK5JRxAz1PtVX1DyJGXpERIGvpTEdANL05hhJemPVSl6GjlXp9lUx9BsOmhC1ullLVaFtlCJ0VIEH5isWoR0D1Pz0ZDomg++RtGxgv9jpU2REnRNkgs6PH6DiULBFUGujvq/0IQCaGlZJK2P0eK3MyoGidJCTCZw8amIKrZs0HCeQPny+C5nrwHK2U9QPwEbeZm+M68pU4D/fZvHbf8oWf3vq/EPHOLfrrmK4VSRdZv3YWoeH/rQhyhXXfL5PDsGt7O7sIcNg88wNj7GLx74BZ7nse3ANr788S9xwfzz2btvH2Cgo6ELA3gUIR5j+vQxygjWHzrETx96kOnDM6hUy2iGxvfv+R5vufBCVrW18cMf/pBCoVDPjpFSIoRASollWXieh+/7GIaB53lEo1EOHjxIJBKhqamJa665ht6+Pk5bupTp06ezfPlyOjs7Wb58Oe9973sBGBkZYffu3dx2222k02ls22b3rl1IKRk4cADHcejo6OCiiy5iYmJC5cgMDaFpGslkkl888ghLlixh965d/OAHP2BiYoKdO3ZgGAY//vGPkcBjjz3G/v37ObB/P03Nzdi2TSaTobm5mTVr1pBMJjl5wQIMwyASjWJZFvF4nFwux/DwMAMHDjCRSnHxG99ItVolPTnJ/qEh2rq7iXV0IA2DK6+8kpaWFmzbplgssvbJJ+sAbdu2bbS3t3P48OE64Hr22WdZtWoV7e3tDA4OsmbNGhYvXkxfXx+GYdSzfFpbWykXi+QnJnALBaa1tPDU448TMU0sIXhq7Vp+9L3v4VWrxCIRkpEIWrmM6TisOOss0hMTVEslfvSDH1Atlzl08KByTSoUaAWmd3cjqlWGxvdz//ce4Jp3Xc3Htmx5GXftiZgCvCafG/zBlJQbpsCMF4j5fUcFYx4LzATGAI1g5lidmiP2UculAUU7izZoKILYbTEjiji7hZ6rOpjW5dDXVKXP8OtApYLqjnRzpO6l1sWoWRnXQFARNeivugLH0yhUdDJFA7ciqboqo6YjqvZTlqIOjmqD9Zo3XyMtDaZobi0N07GE88cCL42vIaYE/i/Vw6y9F2EKwNW6NzlXU4GYAU2vuV8ddX73lNpmYCzEblcj2bDPGqWtwlSHC47dPXqpajzuGt2sVpYRdIwMDWGZEI0GlLMGupluKStvXibdDNRI7XjT76/OQRkJ/Br4Z+DzR01/8PXJT36qDmbeEL4J0ImHZtMRXUaOFJaIYIsYBjbtchqz9SSz9TZMDLIij4ZGixZmGxvZLTdiBsMxDYGPzyWtca7sSHBOe5FK1WI4naSaieFULA7+cCGhRAE7UqY5meaGRVs4PVnGCLouYV0LhOVKV+NKSdGbingue36dglUTohc9galJ0gFQ8gKL33QxSiJUYijTQt4xaQ2VOaUlxezEZKCv8dCFopyFdEElMAwI6YJmS4VdWrrS1ezJi0DsrsBLpSF9szYYzbuqm6MJ1Y3xgm5OLXiz5Im6cL4YUMkixpH4P6RLZYcc0OEKLoHmxccQAluozkwVj6LvMS2qQE/B1TCFpCNUoehpJC2H4ZLNYDFMxddIVU2KnsFEJUR7qBToXjxCuosnlbbH87W6s5kIOjIl18CRWv08c65GwdMoecrSIG6oLCFbV10rgbK6zmoZWvx22mQTSbqxCeHhUhFVDKnGSCdKNwN1LbxA1/Ni06vlctZQfVLKq6WUn5VSfr42nciKr6mR1tduu5lr3vkuWrIp7v32aj70/nezcN4sOvpmgRBIz6VcLpPOFtm4ayMX3XgR71n1Hlo6k0yUJyhNlNBNnXd88WoOFg+xb+cOlp52JuH2DPn8CLd8+MMcPLiGsNmNfd5y3lSt8twpC/jav32Nt656K+1NbVx2wWVMpFOkRka4MJnk299WT1z+7u/+jpaWKSpBpVLB932klOqY0mk8z0PXdUVHgzrQmTV7Nme2t2NZFg8//DC2ZTEyMgLA3XffDUA0GkXXNNY8/ji33norP/7xj7nyyiu58847efOb30xrayvDw8OUSiWWL1+O53kUi0UWL15MJpNh4SmncOqSJQB0dXUxMDDAqlWr6OnpUdbK27ezePFiJsbH6e7uJpPJ1HNdkskk+XyeRCLBwMAA0vdZt26dMhYoFmluaeH5LVvIZDLMmDGDvr4+BgYGcDwPPzh2x3GwLIvW1lYKhQLnLl/Otu3b+f73v8+Mjg7mzp1LX18fBw8eVNfIthkYGCBk2ySTSRYtWkQkEqGtrY27776b5uZmhgYGqOZydLe1EbUsquUyhhCYvo+fyTBj7lye27SJ9ngcoWm886qryJZK/ObJJwm7LksWL+a5jRvZsW8fe/bv57yWFrKpFHOnTeP6t72NhG3zxc98hmRXJ9FEhPlnzudLX7vrZd61r+8OzStp775uqrHLUnMnO04d3ZmRx+jaHLGM56jteg4UAl8tx0FWA8Dk+IqW5PiI+TE6kiatGzMcfjZPU9EgUzDY7WoqswkFakBRv2ouYPuCebWBegZFP9tXMOkGekIuUdtjOG3RFHExDYmpC8azFnHDp+xqR4CadsOHhs5Gbdsw1SmqGRI0VmPX4lhdmMZ5o0zRtRpzZo7eViOAa2KKchY3fLqTFYoVnUrWw84pjrpb8on32Uxsc+vXreb+VjNEaMy0eTGq2YnU0SDI1NUgrCnios+KQFtI6Wbgt+lmoGiIL9fhDF5tpmoXcAlwLfAnwE+B70opT8TL/g+iFIhRT9l363uwjHZcvwI6CDQ86eDj4eFQEWXKvs+on8MXElvaZEWeim/zwdYLgkG8xPFhWUJpR8OGx7SIMgnYMdrFGf27kFJQykWJtWTwKiblXJR45wRGqMpVnWM4a5czWjYZKGh1sb7X8MjdUZwjIrrS1FR9ia5p9dyTnKMRsj12ZZrxJ5vpjRSZnRynWLXJVELMb07REc+ydaxLuaZpksmyRkfIxwmoYRMVoSyiRdBVEcpVzNSm7KEBLB20wLRQIIiaIqDMqcBQUwu6MC74uqKw2bqioYECKFVfonnQYiltkEBpg0xdUvTU8ZgaVD3lCuf4PpahE9F1ZfEsdEKaxvOZKp22SZOp8Zb5L/DTnfMJ6T6W5tMZruBJgetrZKVOumLVQz1DusqSqUq9Hp7pahphw8WVGhpSTULpfaqejo+yodaDjsxkVSNmKK1Q0VX6HwW+PExpoWMwKtJ4uAg0NDQsabJf28Z4YSMXnyDdDIIOzXE1NK96rRVCLJJSPv9yV3zNnNmN73iKVZe+kZ/8x79z20ffw5vesJxwJEauUEI3bQYHB3GdKqYmiVs+l77xTXzjW99AFzrFYoGZM2bSO7OX8eFx7v/SfSyKn8KbF1/FG1acjWGU6eh0yOUkm58bZfXq1Rx2pnPXt++kt7eHN15xMa2trUQiEaLxGLu37+Kqiy9i/+7d3LxyJQBf+MIXKJfLFAqFememWCySTqfZu2cP+XyetrY2uru7iUajzJs3j3g8jhACTdPI5XJUKhVSqRQ7du7k3nvv5cILL6Svr49bb72Vzs5O9uzdS6lU4v7772fRokXYts2yZcvIZrPkcjlmzpxZp4G5rsrkOeecc5icnMQ0TX6zaRPlcrlON+vp6WHHjh08+eSTzJo1i3Q6Tf+cOUgpaWpqUp2Zk0/G8zy6urool8ssWLCAcCTCySefTLlUYnZ/PyPDw8yaOZN169axZ88evOBJj6ZpCCEoFotYlkU+nycUCpFMJolEInXa2Dnnn4+u65imyaZNmyiVSixZupQLL7yQXbt309TURKlU4te//jX5fJ4FJ5/M5OHDnLtkCbM7OtDKZVLDw2jlMjFNw5aSkO9zcPt2lp91FhefeSampvGtH/6QDRs24LouFd/nl2vX8r6bb2bpokW85/rr2bZlC1FdR0jJrsFBPv+Zz5AACtUCN3/4A2zctImZXV0v88593do21+onqKA9F5UAWpv+W1S9M+MHQZlHd2Qaq5Y1c6wK9DS1qW7vXHM8q2txHEU1Gz88NciFgJKkKa/UJgvRE0Zf1kTPOU10Txe0JarMMfy6bgSmRPK1eTWQ08TUwL3WXdkPRGwfx9OI2IrIUKzoFCo6jicwDZ92wycZcukU8giL5FkN26xVrSNTy8c5HnA5VgemUU9TPurfjfspN0wE51tzfQPYORqmtcWjWNFwSz5W3MCr+ugtJrqt1a9bDRS1oCh5tU5Noz7od1Gm4WPokkibCbPD1MUBAFYMYcZeGd0MlIRGE8edfl8V2D3/TEp5A3A2sBtYI4S45fe209dRffKTn8LBZ6e2k6e9nzNW2YmuWWjCxBIRPBwcyriyQrZyiJPENKK6ji9kQDmzicgwJVFi3USVjZki69NlTE1iadAXcXF8wWAxjC4kT4w1IYQk3Jmi85TdTI62kkupB2n7t87FDFfQTZc3zNpNb7jKvIRH1FCgosVSlCogoHXpGIH7GKhOgATCAVAv+8o1LOfq7MnHGMo2M1aM0R4pYOo+e1Pt5B2TgmtQcjWihqTZ9IibPrqAZlMS0iHvBMAjyFPxpCTn+PX9CSCsa9iaqHdXZABmQD0DGivXbJbV+55UnaSCqwb/cUMjrKtOjBF8DB2fOpgxRGCAICVeoC1yfEnWdchJ9a3QZGo0GQZLW1wyjkY4UsIQENE9ip5OyTUoezoZxyBuKEvsvKMzWTWDbowyLGi2y4QNl4qvka1aSKlsmh2pwIu61jrNVhU9ADiur2hzqaogW6VuNV1rXIVlmJIokhIjCDQSfoJW2YyPT+KYisiXLsnxbZtffcYZ5wEbhRA7hBCbhRDPCyE2n8iKrwlA08KH+Pn3vkbu0Fb+5n/diqZp/OKhnzAxPsro4WFGhwd5Zt2T6G6Bn95/Hzu3b8ftcPjjM95O6nCar97zVQbSB5gYSXHWOWfx0fd+FF03iC800HXJL9f8kmefHcS2Ilz/riv4sw/fwTTrIO985ztpz3dw8pIFPPTQg0gh+e5378KzQ/zTF77Imy+8kF0PPcRlfX0s7e3ls5/9LBs2bCAcDlMqlXBdVzmb9fcza9YsfN8nl8vVbZtzuRylUom9e/YwmU6zZ88eLr/8cq677jrGxsbYsGEDJ8+fTyqV4uDgIOeffz433ngjM2fOJJ1K8ZtNm2hqamL9+vUcOngQKWWddjY+Ps76p57CdV3KpRIbNmygf84c2tvb+cUvlGnV3r17iUajLF++nGg0yuDAAPl8nnvvvZdkMskDDzwQBEgq17Wac1skEsEwDLp7eshms5xz7rmEQiHCoRCHgg5LzQUunU6Tz6tBYI2a941vfAPTNOns7OT9738/d997Lz//+c9xXZeFCxbw4IMPYlkWX/ziF0mlUixZsoSdO3eSSCR4+umn+dUvf0lfZyfN0SjJSITpbW30d3RQnZxk2cKFtNk2bbZN+fBhhkZG6J4xA83z+NM/+RPVeRKCiy6+mNHxcSYzGdxoFCuZZO6iRezftYvJgwd57N576W1tRRighQWf/qt/4d1X38DV69e/zLu3ZgrwUtPxBx5BHsyoEGLLUfNvCT7YLwghPtsw/6+FELuD997UMH9Z8AWwWwjxZSGOqyz+T7d3X+tVF/83AhnvGEPbo6hltc5LHbwAaFYd7BwBeryG7VaLU9t3HDAtRUUKgu6UxY9W/+UVHTaclqD5/BbaenVm91VYFHXoZApIcNTr0UL1xrPZmLGougJT9+sUrVJFJ2J7OK5GW0KdV3dLhVlJBR8qKM1MN1MUtMZtVlCAJ9Qwv1Evc3Tw5NFamhPJuqnRwo6eNwwcdDWSIZfhMUPZIwNWp0Wk3WJiY5bREQXWateoZi7wUtbUJ1K1LhFAs5A0H0U3cz1BpMNCWLpyNzMtMCwVstpYdgto1sunm8GJ5tD83koIYQsh3gp8BxWw+WXgh7/Xnb4O6pOf/BSd0bN5xnmIlLNPdWP8Cr508aVDWeaQ+EjpI/GJmG3YmmCPm0aTgllmMz1WGICEjJEWBULC4LzWEHaQxTJZVQ/BukIVnpmIc0nPBL6vYXZnMeeUiTVniTblCMULRMIl0kMd6IZHe8cYV5y2gXcu28AFnTnigQ6k1dbojRg0GTphXWAEt07Fl4HuBrKOIKJLqp7KfJESso7G0+NJfCkwNY+oXaYlVKI7UkAXkpjpMS1SxtJ9kpZDb7hKwlJ0thoQqXdohCAafPd5AX2s7CmQEdEFBUc5rk1WZX2KGsqOeaKivkPzjqKYFd0gC0fK3/oYmME1jBqSvKuczzwfip6HHyzvIYkIi5xfZbzq0RdRuTa9EYd7fnMaZU8wWla2y7qQ2JpPRPcJ6x5Rw6XFdgnpKuTT1JQHWdE10YUkaqi2U8E1pzJqAEPzGatYTFRsQkEHadJRFLyqP6WnqfqSgisp+i4hLNr8JGESWNLCxsTDZ4e/nul+z8uim9Wu+/EoZ6+BWgnMBS4FrgDeHLwet14TgKaXQ3QyyqpVq0in0uzavo1bb/0YX/u//0ZXe5KQqbNk8UIy+RLveNtVXHTJpex+cDeD2weZ09fPzas+QHulAy0p2JbeRqG5yGd/+BmldWE6F1xwESfPn0s02kRqwuPgpm/SfOggh745SJveyuTQJP1z+5Gm5Iqrr0QXZZLnhHnzhSv40Ic+BPk87125krnJJI8//jif+tSnuOOOOyjk8/T19dXNA0KhEIlEAl3XEULUncgcx1Gt2IkJRg8fZmR4mFtuuYXZs2fzi0ceqYdY1qyfbcuip7eXRFMT06ZN4/rrr2f/gQOMjY0xbdo0DMOgq6sL27ZxXZeT5s/nrLPOYt26dXUL6IGBAZ577jny+Ty7d+3ivvvuY+asWZimiW3bjI2NsWjRIqSUHDhwgN27dlEsFpFS1kNF29ramBgfx/M8frlmDa2trcyZO5dtW7cye/ZsXNdlbHSU5uZmBazKZQzDYM6cOQDceOONJJNJVl52Gddeey25XI7Ori4uvfRS7rzzTs4/7zxisRixWIyhoSF27dpFJpPhogsvpLujg5HhYTpaW7E1jbZYjGve/nZ2bNzI0lNPJa7rzO3u5r1vextf+tznKGcy3PuDH2A6Dp7jUPF9hGGgh8Ns3LiReDTKt26/HbdaZfH8+fT39ZGZmKClvYWsnuODf30TnWbvf+Lu/Z1paP4fKiOiXkKIC1Hdk8VSyoUoLjtCiAXANcDCYJ3VgZMRwFeB96O+EOYevc1j1FohxKITOcDXXTl5BWaOLt8Bp2F+DbQ06GZqwKYu/vcbaGaeA05RhWj6DVQz3VT6GcOCSBQMU72agcbC1BDtCcWdqHVqkjbMDtN8dRfxvhD9CzXmdZRYbPhHWAbXnL9qmpZa96ExpHIY2FUwGU6rPkjVFYRtj4jtYxrKAc3QJY6n4XgaZqDfmYnq8tRcxmpVAzCH+W2aWGMXqfZeo2kB/DZIOToktLFqTmvdHBkcmgIcV/1MmbrECGuUBsrotobdpD5XQ+Wpz9eL7eOltDPHCghtBFmTUlAOfuiPoJtZR4+kjhLo6oExwH+KbnYCYOb3CGiEEN8C1gKnAZ+UUp4hpfz/pJSHfm87fZ1UZ/RsJqsDCKEhpY/nV9E1G00YmJoCKp50FOVMekwTJ7PZG2BSS1HSSuxx02x2DzHditFnRek3WrigXafsCbZnJUVX1MMqc67BO+bs56Tug0TjBZzhBDLnkjx1N7G+UdyqSShcpu8DKkooPm2U1vn76Vq8k1XnruWirgzzEy6ttqI3xUzVzXADbUlE13CkpOxJqr7SdoACG55UrmKehL25KDvSrexOtVFwLJpDJea0TCjbZF8LQjvV4D6kSeKmZEZgSGhqioLWG1FuYx0hBV6sIIhTDwz9QroyKtCFIG6q17KnXNGUUYDE0gXpqiTnSAyhOj9FF0oBda3qK7Dj+IKqpx4l1hzeDCEwg05V0rDIyjIuHgXPYbgkGSmZeFKQd3QOlQwOlw0cXzBaMTlcthgtm0RNh8mqqehjvkbZ01V2jubXM2eqnk5I93CC90dLoTowMoUk6+j4QXiopU0Bu6IrcQNzBEXZU8eaE0U0NFzhUsHBx2exdh5rSlMxFydaKofmpadX2wVNSnkANXC6Ipiag3nHrfSg5TUAACAASURBVFddQ3P/Xz/KI09sZOasWWRSY0yMTbJv9x76+nr40w/8Kc9teYGqJxhLTXL2eRfiSQ8P5f519gVnM5nNEG+PIX2fcDpC/+J+XOHAFviX932Vmz58E+3LfLLZFE8/8ws2bbqPN75xLl0zZvJ566uc/s1fAWBj8dOfP0h7vB0363DJ2Zfw6BOPUi4LPv7BDzI5NsbZzc0YqRRF2+ZApcIP7r2Xv/3bv+WpdetYtHhxPYRT13UODg5i2TaFfJ6h4WG8gKI2Z84ccrkck5OTLF26lLlz5rBh40aWLFnCmjVrWLlyJUuWLOFHP/oRiXicRCLBzh07KJfLmKbJgw8+yEknnUR/fz9r162jJZnEsqy6I1pfXx/Tp09n/vz59Pb20tzczN13380HPvABwuEwtm3j+z5dXV3cfvvttAeuZ+FwmM7OTlzXpVAoKHe1gQFi8TiFQoH+/n4WnnIKY2NjdHV3MzQ0pMDL3Ll4nkepVMIwDMrlMqeffjqbNm78/8k783g5yjrrf59ae1/untzk5uZm30NIIKxCEBCSoCDgDjiIDm6jr/OK4zhs6jgzKsyiIEFwEIdNFFAgIlsIBMhGyELIvt59v7f32p73j+ru2wkBYtA3zMff/fSnu+t2VVd1V1c9p875nYNhmoRCITq7uujv7ycej/PEE0+QSqWoq6vjxZdeAuDOO+9kypQpuK7Lzp07EVISE4L6RAJdVTE1jY1bttC2axczJ09G5HJ07NnDheefz+MPPsi4RAJPCE6YMoUXX3qJ8ZMmsXbVKiZPnsz6DRto7+mhbuxYprS0kOvsZO4JJ/CHhx9mypRmbOEwkB3gqT/+kQXNx3AV9c/UQyOlXCmEaD5s8rXAv0jpc+MVKd0fBh4oTt8rhNiFnwK+D4hJKV8BEEL8EvgIsPwd3vp04CohxF78cZzw30rOfteVfh+XdF5+a5ZMqZQjO8OUwzM9q0y7v8UMwM4c2oNTyfiU2Bpdh1GNMDwIju1fwafI09k2xHzmRg7mIKwhwhpkHEJXjkXuzxBcP0R1n82koQKtrQoHMnpZmlVpaVyqw3ta9kvBNPym9ZKVczzkn/FrGlU6DkC2oGA7ClHNI+AKEkC2eCI73NmrxHiUsnBgZMBf2ZMTYsRcoAR4DjcOOBJjU5mX0118nmTEJCDlKNiuIFdQmTlWEqwzyHVbZLst4iEJQ8Yh71lanyNNO5qMnMrtLPf/FBkaXfOKAFH6/TMlnYum+9/7e3U3q6y/MAPzLvUZfOnpZOCrFURv6fgQO14rdjzrn79/BwEtgesVoMjCCKGVWRohFCw7U5yuoAqTnJbFEQ4uNgkvhoKCh8dWu4tZRj0K8HS3hY2DhkpjKETBEzTq/m+2bThBdXyQ3p5qkpP3IzQQUQ8l4xAZ3cvg3tH0/SpMbGwXQwcaiDd1Ij1BYv5eltQMYQ2F2fXGFP6wbzyuFERthUHLH+h7+IAhVJSnZR2oNn23LqF6CK9k6yzJuSpJs0B1KI2qeKzrHM2c2i56MxHqo8Ps6K/B8RQShk1A9WjP6WUL4kFLsj8jSBg+iEmafs9LWPMZpLzrN/6bqv/ajOOzKkJQDOYsYnh84JNxPDz8eW3PB2OO9Nkcv6Eeco7AUCGoCVTPb/gX+OvT5qQpCIuoDNEv0swNBci50DqoYntQbYILGEX3yJSjkjQcWjNBVOHnz6hCFvth/P6ZgOpgqEU5Pj6480M1Zdm22fJ8WRf4gNGXGAoKRUMGV/rbA2BLjwExRE5kSdPHaDkBWziYMsiwODZVuETgHf+m/3csIcTfAdcwwgb/SgixTEr5X+8273FnaF5b8ypBzWP/np1khgYIGYLetj28uXE9ve17mTi+iZMWnMill1xMIh5DUwUPP/QgazeuJVYfp7ahBsMwKEiLHz3wQxzb5o93P83is5dw5SevovZEF0mORGI+plnH1Vd/lA/OnMXB+jouOu1Un9xyoOBYfOfm79Bd201/eoD6lgZWvvoiawZXcstP/pm7X7iTvu49fPSkEygUCswGamMxvv/97/Psc8+xbNkyUqkUUkq6u7qYPWcOQgj27tvHZz7zGU455RTOOeecMrPS1NSEqqp4nsfUKVO49dZb+cAHPsDy5csZHBzk4MGDrFm7Ftd12bN3L7Nnz2bbm28yadIkpkyZwsqVK2lsbGT58uXE43EURWHhwoXs37+/3PTveR65XI7rrruO1tbW8md+/vnnMzAwwOmnn05/fz/9/f10dnQwNDRUdnWrrq5m6rRp1NXVsfWNN7jssstYt24dlmURDod5+umn6e7uLru8CSEIh8NlBziAqVOn0tzczOLFi7ntttsIBAJs3ryZE044gf379xOJ+O4/UkoGBgaoSiY5+6yz0E2TWCRCQNd54803CUYiXPnJT1LV2MiYhgbsgQGmT5vGqrVrGVNdzQdPO42e1lZad+9GBboOHEC3LFIdHUyfNYuuri4GPI9UJsNpCxfy0urVTJo0ialTpvqfSxpM02Dubx45hj24FKz5TjcVIcTnhRDrKm6fP4qFTwbOEEKsFkK8IIRYUJzeCByseF1rcVpj8fHh09+pjpne/V9XR5KbVZZi+IDFtQ9lZEplF4VNpfBM1fRvuYEiO1MESrrugxmtOLAt2fmGwhAKIxIJ0HVEIogYlUDUhP3G8pyDmBRFu2Q0kflxqmdEmHmmydknucytylPPSPBkqUxGAEFJbpXFz6jJFnzns7Dp+gYBmqS3zUVXPbIFlXjYIWi6xEIOuio5MeCUB/OHO5+V9uTKx3l8AFL6VAcqpsMIc1T5qR8uAyv17owqPq6r2KbS+5XMb3sche2bJLtWpCgMOaimQs+wXpaDVbqpVTI1h0vlKqsSlJX6hirlZqV5SswM+GCw/DxcvCZoGr5dc2UdS5hmZYmjuP2FSkqpSCmjxVus4hb9awUzALbTT7pwENdL4UkHiYfrZXDcFK6XwfUs35pZaJhqjLBWjYpGrVtHkzsOEw0Hl1pizDUb0BXBTmuQPmWAnCgwNxaixnQZtqGvoDE+mmJcoo9NB5sRQtL22jSczhDWwRjaJJfAyQ71p22h5gM7MaZmqLnaRkuk0RfXgQJ6MkVhOMzcpc/ztY/+jjNGddIYtInpvtwspAoimjgkiDLjKGRdBcsrGRUIDmR1dqZ0tg9H2Npbh+OqzG9op6Gqj8kN7QR1i1Eh/0JPTLeoD+ZoDheYELE5sSpPwvDBTN71AUXK9oGN4/kN+6rw2ZUhywcsEU0cQlKC3/gPvnwtqvmskFd0aFOLsrYS05RzIKL7AM13e/NZnlI1ahFGiwQGKkFpsnGwQGfOZ0cCqs8MtURsBiyNgOpRa9pkXYWCp2CoHjHdImb454a+gk7CzOMhSNsGeVdl0DIRQmIofoZNytHoyJnkXaUs5bMlDFmCqC4JaT5w86R/31ko+GyM8MiTJu10MywGSYthupUeCiL/J8vNADwpyu51b3d7H/TQXA2cLKW8Xkp5PX4P3zVHM+NxZWg+HDybk+bPpa1niJXPP8PYcc3U14zilBNnEo4nWLV6FZ++9ptYGNjoGIpCY9Dgkk98BjWk+HBMhedXrGDRhYv45ueuY+/KvZxx8hnoVRpqTGPvtnbGTHD41x9fwbTpTTz37B6Mk+r46f2/47EvfIZYbz9bxDY+8JEP890Hv8s/PPFtfnDDP7OsaxnX/fE6Nrdt4oXlK5k8cxIbXnidbCrLvG8AT8GYyDC8Dk/mIZvN8uMf+60HN954I7fffjuJRIIpkyezb9++cv9LbW0tzc3NvPDCC0yZMoWa2lp27txJXZ3f4HXllVfyy1/+kqlTp7Jw4ULC4TC1tbWsXr2aT33qU+i6zvDwMAJIJBIMDAxw9913s3TpUnLZLE1NTaxatYr58+fz8qpV1NbVEQwGaW5uJh6P09vbi+M4OI5DNpNhypQpDAwMlO2SC4UCQgiGh4dJJBJ4nsdpReAzZsyYsm31VVddxbZt28pyO8MwykGj6XSaGTNn8vKqVSw85RTy+TwnLVhAd3c35yxaxPjx4xk/fjyvv/46tbW1nH/++XR1dbFr1y4uvPBCnl+xgi5ABAIE83mi8+axcd06Py9GVVm/di0zZ0zl0iVLfOe1ujomjRlDS2MjhVSKBQsWsG7tWqa3jGffzp188mMfY0N7O/X19Qx3dNDb2kqvZVFbHWH+mSeybtN66uvqgd3HsBcfXbCmlHIZsOxPXLiGf7F6IbAAPwyvhSMPZeQ7TH/bklLuF0LMAc4oTnpRSrnxT1zP91VJ52X/gWf7g8rDjQDszFtlQCW75vJzuywjk6XnpWW5hYreGRuCyUN7aVTTt++1bd/Kt1Cx3HgSHAsIQyZTvLJvI3QdmsfC4IDfezOuCtkxiLq6n8h4aDRSNCJxLY/OXTZDWa0crAkjjfSVuTZ7i/8fU1CZNMEmPeCbBliOIBZysBxBIuyQLagMZwU9jkayuJxR+AClcvmV93CoMUHl60rOZoc7mh3J+rkEZkpAqtKqOo4PZgL4rFMcX37WMWDSMQBNtXlyBZ3BColEKTumlGMDh2bdwKGgqzIDp9LmufIXHdU831ihAtSYseIIMFj8DjQDAhUOZ6oxAnyPpQTHlaERQiySUj5XfDxeSrm34n+XSCn/6nppvnvzrWhqDCE0bKcHTY2jKUHyVjsIhQmhcxmkE4MQilARKCS8aiIyhIJCWPjHElt6DMs8FPCDNxWHoAwRlAZ9BYmuqNSakjGhAmnLQFU89qXDzFJdcvkA+16djaJItC02+VwAw7BI1PURqBki+5xCuCGK7nm4s2cgHJvYJePJx88kXL2Qk3peYt4Nz/DbFR9gYY3Nur4YaUdQZfqBlEGVIkvgu4xZjh9eaSgSTwrasyqDVhDbq2dSYoDmpoOkh6NIKYgHc0TMAq6nkIyk6RxM8NiBBhSh0xJxGLJVGoIeGUch5/r7tln8GemKb60crrBfrjIF/YViEKYqyn0mAdWXwuVciSj+KULiFv8v8O8zjr+sjCOJ6qIcKKoU7Z5NRcGWHppUSZFHWpKEZpAwfODTb6k0h/MczAYYHSxQH7BImgWGLYMByyTvqowJZ8q5LnvTYRqDeV+CprpoQuIUj00J3SbvmrhSlPN5Ura/LkOWz45Fdd+JLedKMlgMK8PYWEg8POlgiRx17mjSit+jdSzlvX/6ZN6pBD5BViqXo7x8c1wBTT6X5Vv/egf/9Pdf4uwLP0pVbQOatKk5+xwymQzj5y3CRsdGx0FjMJNj3Rt7aJ4wkY3rNnKgez/ShSUXLcF2bdL9KQpOgWg0SkEp0GV08eCj3+NTn7qUr3z169z203/jC19YyAO3/YB7rr+euOPQ19LM+Hkn0FJbw3otwG9eepFtJly0aDLtTjtPPrAcGmBDz+tc8smLwYNtv9vOFfd9hrsevQ99istldohn7suWBwA333wznufR1dVVDoZcsmQJEyZMYGBggJdeeolFixaxc+dOCoUCuWyWZDJJKBhk48aNnHfeediWRTwe595778UwDK644gq2vvEGBw4eZM2aNZx44okAXHbZZaRSKaqrq4nFYmzauJFp06YhhGBgcJBgMRNn69atSCmxbZvBwUGmT59OOp2mu7ubjRs3snDhQlzXpa+3l0mTJ5NMJssytvvuu48LL7wQAMdxCIVCtLe3l2ViruuyZ88exo8fTyAQQFEU+vv7WXjKKbS2ttLS0sKHLriA/v5+Nm3eTC6fx7Ztxo0bx/z583n66afp7++noaGBV199lWuvvZYNK1ZQGw4TjEQYGBhAU1WGh4cxhMBQVYyAgefY5LIp7vz5HVx0yUWsfO5FFE3htw8/wJQJkxk7toneLVvQFIVxEydy380301xdTTQWI2zbJGNJ0kYaQmBb9tvspe9WRyM5O+afWSvwWymlBNYIIfx0WH/62IrXjQHai9PHHGH629Z7oXfft6UaI7Kww80APPvIPQ2Hy9NUfQSkeNYIOIJDGRorO9I/A/5VeteGQATCum/hHEtAT7d/FT+T9u81wyf3gmEfxGi6D3xq6n2GJ5dBBMOImjCyN0NoagQ5bEPeY+IYf9umtObp22fRO6zTntcOyXMpZdTsBeKOQnenIGRCyHSJh2TZNCBbUMkWFAaloIAfZNlatHJuxndPK1k3l9ihfMV7lAAQjICRZkbA0JHkXDACIEoytRKIqK0AD7YriBdPvuMDDiHTo3XIKIeEvtkdPCS7prScQsXzI61DZUhpqSrnq+ylyQOB4uBL1/xBRMj0SLQEoSWICJsj35mqHypRfBtp41HXXzZn5t3qR/j9MwC/qXgM8B3+Cs0BPJlhgfFR9irb8MwmANJ2FwFjNDXGRHRpUC+bAVCkgkChSkbwABU/pX5Y5smLPCEZJC0LhAiRJ48uNZqMMNVm0eFLCgYsjZb4IIri8cHmPaQyYVTFI5sLEo+mcB2V3qEE3ekoLakose4UYxduJnOwjrZ/q2bcaRsQcQuzqR8vtpN8w16M5osI33Y6V75wE6KjnfNeaOTg7mYG0hE299X6jeGeYNhWyXuCIcuXceVcQUyXKPgszs6UiS2reO3lU7lgwi6ikRSjxrbzxtap1CUGyOUDdOfCJAy/b8RDENY8wprrS7WkilW0eS5J3QzF900pxnb5Lma6wCj22YQ1yrkyfh6N36OTLw59PUCRoCg+WyOlHzLq59DIsnTNUAS6LhiyPRQEBio1WgBHSkxFkHP8TJicI8g4GhOiGdK2jqm6eFIQ1BxwNOJFhsaVgoxtMDaUoy0boCZgEVZdLFel4KrEdNvfB4TEVH1ApwmJI0bc3CyvtI1+71DWyZIvysoyTi9xfQxRmURHIyQj5MRIDteftA8X1/ed6t16aIQQY4Ff4lu7e8AyKeV/CCGqgAcZOXVcLqUcKM7zD/jMiwt8VUr51Du8xS+A1UKIkmTmI8BRNQwdV0Bz9dVX4wTr0I0AAUWh4EiEpmK50JeVWG4GPRgjXchgSY2UYzJ2VB1P/eEPnHXuWUTDUeadegKWYqF6KvFogtjoOGpIYWhoiMZoI//wtbv52T23M+/EOGcvugBI0TDzPG6++WZ+feMN3LX8D3xyzmxu37iJA7Om8djKF7lkzmxWbtzEpu07mPHpefzn+tdYbMMjrz+C7AVGQ0SP8t2/+0d+8MvbyTzTw423n8eaf17Lns40r9n2oTKLfJ72tjbuvPNOAoEA8XgcpKSqupqGhgYeffRRvvWtb7F582ZmzZpFIBBg25tvsmP7dg4ePMjVV1+NZVkkkkkOHDjAjBkzmDt3LgP9/dx9993ccMMNbNm8mZYJEzhh3jyefeYZGhsbGTNmDIlEgt27d1NbW0swGOSJJ56gvb0d0zRpa2vjpJNOYtGiRUSjUfr6+hjd2Igs+ta7rkskEuHyyy+nv7+fZDJJf38/nucRiURQFKUsL5s+fTo9PT0MDw/T1dnJ7DlzkFKSSCTYv38/qVSKV155hYkTJhAwTXKGQXd3N7t27aKrq4svfvGL3HbbbUSjUV5++WUmjh3Lto0b6evq4ub/+395YflyCtkseUVh5swZXLD0Qn59/0OggOXYrN+4HgIwlBpi/sITaW/tYMVLz3PB+Rfymu3ym/vvZ96sWSQMg6G2NmZPnUomnSEbzLL0w0voeqPrLfvn0dVfNIfmUWARvl3qZHw6qBf4HXCfEOIWYDS+ZGyNlNIVQqSEEAuB1cAVwLsBkxK9mwEQQvwr8MpRzPf+rrezZz4SY+NWhGiqhw1C3YrXVjI+JQan8nWV85YAUSDiPw5nfWbGNIrhizoYdT7gqa2DbPbQpvISCIol/KaFmIHIOr4mo85EWi6RPTkiE23GDNhMaC2Q7bU50BPAdgWDUhAQkpAUbAOiGQ1d9egYMBmVLBAyXXRV0jFglJvqx2i+eUC9K6gH8lKUQzaPlDtThd+0H2LEUGAAHwBVWieXAkFLj+FQmRrAVPw+lZSjEBCSmphFpqAyIeZvk6ZKhjIak+tyHOgJlEEMwEZ8qdq79cccSfpWek0lg1Oqw53NADRVlvNnRFO0KCMM+Wzcn7MEfgPB8SvxNo+P9PyvpjrVdoLE8PAdzCzFv7iQcrtJiGoECv7wXaFaRukVQ8RllHalE0c4KFIhImPkRMFnbWQAQ0YoYHPAyuDIcNFqWNAYhJyjs7mzkVkNbUgp0DQHw7CQUrD8zZlIKWiKpHBcle7+aoafPhUpBUJI8p1VhKs7ya0Ac9Qe5CUz8XY9DFOuRPnADQAkPg7B7fdgbH6G0w7YpHeN4ZW1J5J3NAYKAfZlAijAkK1gexDVPZKqx86Uzo5hg7Ehh7aBKnbta2F8dJjpTfvoH0zgeH5j/PhIjtpAjoKrYXkKtueHnHfmNEKaLDfFu1KUpWFKEeAoAlK2ZHTQB3iqkOXBuCZ8e2dP+kDHkYKCK3GRCK9o3Sw9orpCxvEIqP76F4rytmHbw/b8b9FUVAqeVzZICBflbI6EQrmHyCOu++eI7nyIukAeKSHnaNQFc+iKS8o2CGseedcP1wzrNmEhybsqYc0u9shIHM9fbml7wV9fVfXB1qbsACYmOan7qTNCR+Jh47+/d4zsDFC2Zn6P5QDfkFK+JoSI4lssPw1cBTwrpfwXIcS3gG8B1x1mYjQaeEYIMVlK6R5p4VLKW4QQK/D7ewXwWSnlhqNZseMKaLpEA2OjMXIOKKpO78AwdbXVuKqOGg1TyFj0pXooOJKe/iFae1LEq2rQpIuGzpw5s/0eDkPHcgr86r5fcfU1V/Piiy+x6MJFtA+1s+yf7+D085tZsGAuithAPi9ZdPY8xpw5kV/s2csnv/0PzHRdQqeeyg/q6lj209t5ZeMmPnfTjfz7DTcyb9w41q/fxoyPnMW5oRBT2nM8/vATeIbHzd+5mWu/dC3X9dzOo419NH4IkqtsztkBvQ7kRo9mc3s78+bN44knnwR8cCOl5OVXXgF8IPDxj3+cVS+9xISJE3n99ddZunQpP//5zzn5pJO4/PLLefbZZzn//PPJZrMMp1KcfPLJrFmzhoBpcumll7Ju7VpyuRyvb9jAKaeeyviWFt8QYGAAy7JobGxkaGiILVu2sGTJEmKxWNkueWBggFgsRr7ImqiqimEYCCGwLItYLIZt21RVVeE4DrW1tfT09JDJZMpys7q6Ojo6OqiuriafzzO+pQXw2RzXdRk3bhye51FVVUVbayumafLc888D0NnZycUXX8z2YvBnPp9n69atVJ99NoO2zdTp0/nZT3/KN77wBe6/916SoRA9A/088bvHWbx0MU89+xRLPrqYsU1j2bJjCzUNNWSGMhREgbq6OrYcbOPe3/+edCpFfNw4Tj79dApNTSx/5BFOnDeT6XOmk+/IM3feCfDk2j99Jy4okHuXVrSjOP4IIe4HzgJqhBCtwA3A3cDdRStnC7iyyNa8IYR4CNiKf3D5UsXB4Vp8x7QgvhnAOxkCwHugd9+35b6NGQAcGegU82SEHjnUkrkEUOzsoVfb364XpxLUuPaI/My1fbBSupUYHiMyAnzs4q00OM5mfaBj22AaiMEBMGxkSPPDOXMO1AbB8tByDokDWRLtBUYDg5vTZHttNFPA/gBx6Vsbv94fYFLYJlNQSWhO2RgAfMDS6ihMMl1GJQsMZTXyeY364qYFhGRQCsYHfIlaXgqG8MFLSVp2eBDn4aDmSDk0pXn3ArNVScx0SIQdBjMatTF/G0ZVFRjMaMTDDgd6AuiqpOCIMhiK48vcSlUpHzu8juTiZvJWdgZ8QBctsjK2WyFri6mIExKIRMRn1uwicD283pM5wF/elvldSr7N4yM9/6uoaeGLSTGALfO42HjSQVdCuNImrjYwSN8hr7elhSIV+pQBbFHAw8MVMCT6UKXOaG8UWfKoqKgoBNDJex4tEZW6gMvE2DBSQtwsoGkO3cNxvEyEqnCGtqEEZ7fspG84znA+yB/2jSdhOFQZFmv7osxNZshZJs3dB4nU9qMkJIGnH0VObkEe+DZuzSjEnM+jKibmlCthypXk09sJ7/wj531sPWJ4CHdrjuUPXUTaMih4CgcyQaKaR0S30RW9mPei8Ex7HWNDNvvSUXp2TKMpOozlqgQ1GwVJyjYYFU7jegJN9djcV0Nc9yh4grTjy8cagw55VyGgevQVVMDvY0kYAkf6GTl5V6ALiabCoCWIaJJ+y5dtCXwQWJJsGYrv5tZvuejF3pTxEQ9X+sGfticoOkETVlVSjkPW9YNPa5wISV3DdH151kDBxPYEw7ZOXSBPlWFhFWVmtqcgXJXOXBCt6PIW0W1UIekrmJiKhyokKcc/L6hCEjf8bXQkZRe5hAFRXbI3BWrxAmhQhgjJEHk1gyttgjJERJgUsDHksR1bjkZy9m4/billB76pJlLKlBDiTfxe3Q/jj2EA7gFWANfxNiZG+BdOyyWEiEkph4tMz77irfS/Kill/7tt33EDNH83+4ts2vwGBw2HhrHjKbgKWiDEtv5+EjWjeGPXQTzVRNGDFBxJf98gjZMWsPGlp7lk6VLCyTqeXfsSg/YgH1j0ASLJMNd+/ovk9Bwzr5rBsvvuoH11O4v/6XzGjtEZHBzENDTuvfdnfOWr12C7OpNqaxguWKxxXV65/Wfci6/ZfgPovOFGzr70o3zp4d/wqWlTWZrN8vdPPMnZoRC3Xvd1oqEIp5y2kPuXP0B9JMzF8xfQdN55LLvuB5z9r2fx/C9XMGt6FWMfa4fNz7IQf1y7BsoZLgBbt25l69atAOzavZulS5eyadMm4vE4r65ezaurV2OaJnfccQeapuE4Dtu2bePKK69EURTq6+tZvXo1TU1NFAoF7rjjDi6//HIGBgbo6uxkfEsLu3buZHxLC7Zl4TgOjz32GDNmzCAWi1FbW4uqqmSzWbq6ujAMA0VRME2TYDCIEAJN0xgeHiYej5ftnKurq+nr66O/v5+HHnqI+3YGUgAAIABJREFUL3/5yziOQyqVIhaLYVkWUkpqa2spFArs3r2bhx56iJNPOonXNmxg+vTpZDIZ9u/fz5w5c3ht/Xqefe45GhsbaWpq4rTTT2fl888TisWY3txMyjS55BOf4PVVq1iyeDGBWJxHfv0gsYYo2/ZuZ9vu7XiaxxkfOJO27lbeeHMrC2adhBVIwPAw1aaJzGToz+V4/JFHqFFg89YtiDpB0AtiDR/jjlyynnqnOgpAI6X8xNv869Nv8/rvA98/wvR1wMx3f8dyHTO9+36scvbMn1qlwacyYtFcfnx470xl83cJuJQGtZW9NDBiFhCuG5HBlYCPVbR7NkJ+wnxmYORKfzQ5soxguGwwIDJpcGywLbBtZFEqKRpC0JsHxyO5MEli2IZBm7qEDq8N4+YUpvTZgEK228KIalgph0zBZVrMomPAJC99JzGjmPdSFXDQVImhSSxHUKNJsgWlDHjqij0luYJKq6O8BbCUnlcVb0f6qZT6akq9OeNaIDomjL3af6VTkARDAtvxMXfZNhmoL0rPSj0yZsXyjhTgCSOSuZLErMTslKaPYsQOOw9Ei/PFQg6OKxhV61B9Tm0xKNXwGTdd97/DIzmcHYtlc6mO72WFFiHE74prUXpM8fn447dax6duuul7TAwvps/agxAKAhVXFlCEhid9NzI/e8b1wzWVEE3eOFrVg6S8HnSCGCKEio4pA9hY5LEIESCpGihC0OakmBiMkzT8E0Z3LsSkZD+Oq9DeX42qSHYNJNmXihPTbdr7a9jYV83zXYJz6j02DZiowmRq3GJydQ8FW0dRXKSnUNgVxxw3iFMzGn3nJuxkI152H8rgLoJjFpPLtxGOTIETppS3WVsKi77wOqHnfs7AHxqITWhDOiqbnjmV2kCSjG0Q1i0M1SWo2bSmY4Q1my391UgpqA/maIwOYbsaGdugLjJMd9r3k0iaDlIKTEstg5iZiSy700GawjZCSIZtjY6cSt4FpSgXKxSBiOX5AaDRYuO/W2R2wpog60gszwc1ioSU42LlPc6sK7BhIMyooEtdQNCR09iZztNnFxAINBRCBAiqPtiIaBLLE4Q1SUjzSNka/ZaBJiQCMFS37GrWndepNR0GbZWkUWBHKkJY9cg5KkHNpTevI4Sfj2MqfhaOhs8CleyrU7ag1coikeiohGSIHrUbT7rUyjEoKKgIFCl4PfdrLuEYTQHeI6CprKIz6wn4ipD6IthBStkhhCglfzYCr1bM9nZmRffhmxKtP2w1RPF5y7utz3EDNB8860y27DzInv1t1NY1kMlahJDomkE6kyY10ENVbQP9A920d/ZgmCaJaITtu/dyuiVYv3o1J59xMh3t7XS0tzOmagzPPvUcynyFU7yFLJmxlOBFQbYObmXT5gOcftoYDGMstjOB//rPJ5k5K8jsyeOI1szkBz9aRjVw9VVXsmrXLq5MJHjm8ScYevg3fOnKK7nrnnuYbRjc8qUvsVDXWP7gkwz3pvjIpR9h6tRpjBrfwJ59ezmwcy9zrvww//LY77jwxsvZ/u1H+fg3PkawPsi6beuINESY/Mh2nn7OoKuri+rqaj7+8Y/7fTS5HMlkkp/85CcAjB07lqamJmqqq9m3fz9XXHEFN954Y/nze/nllzEMo9wbA3DKwoVMnDgRx3G45557sG2bK664gl8//DBXX301U6ZOZeXKlUyePJkdO3Zw8sknMzw8jKqqSClpampCSkl1dTXZbBYhRJm1KTE1Ukr0ojTm9ttvp7m5mWuvvZbOzk727d3r228PDVFfX89Pf/pTvvSlL3HgwAEeeughrrrqKh588EFaWlpIp9MEAgHq6uq45557OPvss1kwfz7tHR3MnTuXW265hbnz5/P6unU0t7TgSMmmjRuxLYvXNm+hp6eHMY2NrN/0Gtdc8zl+ft9dzDl5Nk8/9Ud2796DElPIDeZ59tVHaa6qIplI0DB6NJ3btzN74kQMz2Ff5z42bdnM/JknlrfpTy4HeLfx8/v4euZ7oXfft/V2ds1vJ0Mr1iHsTGlg6tojYKbErFjpQ+VllXKjMpAxR8CMHin27pgjy4QRdqZ00/WRZeUr1gV85qZ0PzwIhaKZQAjfeGBwYGQ3sz2EpkCsuI5nVaMBkW5/3SL9tp9w/9owdXkPAgoTAQIK6S1pCkOSgR5/kKZrkmDxrXNZylI1XbOJJBUKwy5DWUnQEXRnRj6TEigoScM68EfBhzfnl57XF2VmWlAn12cTMj1CNTpmXCPVmidZK+juFNTELIayGlF81mRawGF9Xntb++XDgc3hLmuV85RkdSWr5qqAg120jI5rkkTYITomgJga8QFNqYwIhOrfavH9XkoA6nE1If1wxeMfHfa/w5//VdTe3EuHNmNLD4mLqoRJuzlUxURTggihkneHCCk6pgyCUluWqBVkGossSVlHQRQISZM2dxgFhVFqBF3x+1WqTZuegk53Zz1JwyGsOTiewuZBk2FbckqtYEVXlN6CR1gVrOqRhDU/lHFNr05YqyNhWHS0j2K06qGaNu6Qjv7GOghHCGxfg9exA3veZ8mkt0O2A3fDvRTmfIJQaFx5E8OJuWTO+wqRKSvBiiMci7mLDjCjXkdqJubeDdgNzRhvrIVgCFIpnvrhYqrDaRLRYQLBPMkxnaQ6a2hrH4XrCaKaQ9LMk3c1agKCsGbjSgUFydykRdbVUPB7OdwAZB0FTcCg7Q/EnWKfDfhgxt9u3+65OBTyAzQRBDSFgiepD6jY0iLvQo1ZOl4bBNQAW4ctFARRTSUsVVQhmFvlFUMyXeK6jaZ45VF1lVmgNx+g4KqYiocQklrTP17aniiDHFuWwkk1XCnIOj5TlHd9M4SAKkkXRFFiKGnLgoWDJWwsbAzpH09DxAhKExcPGw9HHFGpdVQlOarrqxRdWCudWJcVjY0qXxPB76/7WpFZedvFvc2qHDpByiXF+2O+YCJKg+GjerE4gqj4GOqW869HEYJwVT35go2nmuRtwR9XvMisWXNoGDcJy4XV6zcRicaoaxhNsm4UQ9HpjE3q9KYs9rV3UzOmllhdFEuxefTZRxjb1MTYD47ll/9xD1+99+94Y9sbzFgwmUJ+P3v3rWDSpLFkMm3UVMf50Y/+HRgE4NLLruG0mQKvUCC9bz//dt991EQifO+yy/jvp58m39pKK/C1pUuoC4VJKoL4zn5qGmqJBaME1CC//v1DxMfFqZs6hR19fSx/5VXmL76Q3z/yKOdvhA9ceCZnnHUm37vxexhJnbPss/janU9zIj4cPfeDHySV9gcxzc3NrFy5klmzZvHUU09xysKFvPLqq0Tw9UBfOOccvGiU/3z0UQC+fOKJbFi/HgV/4LDrXT7/0087jZdWreIf//Ef+cEPfsDSJUuoq6/HMAzi8TiZTIZkMklvby+GYZBKpUgkEhiGQS6Xw3EcIpEIQgi6urrYUGRcGhoa+NnPfsbll1/Oxo0bWbduHTU1NSxcuJCDBw/S2trK1VdfzZtvvsnTTz9NPu8PL6qqqujv70dRFDzPY07R8rqjrY3hvj5OnDyZ1NAQIc8j09XFtZ/+NHvffBMnk8EI6cyeN4ftB7ZxyqmnEKwOMTwwxIsrX+SD8xazfs0a2lsPYpome/bspaG+nr379jFuYhP5RJ5up5vZNbO49JnNR73/ymLXnBDix/zq+f/DwrPeeYYPn4jcsv59JeM6jN59Sx0NvftnXJc/y3GlzM6Umvgryy28PaAp5s8cAmhKVQJHdrZCQlYYYVlyFV5gtj3SB1MCNDASuFmqEiAqLaOyF8dKv30/hn4YiBqseG+nOE82g8wURrpqhyrAneP5uSnF1D5puTBYTKRLFAfoeQ/aC/5Zd3oFE9VZgD05rCGnPMmIa7g5l1yfzcHtLtmCQragoquSoOniuKL8HEZkW6WG/3ypz8f0T9D9ea38PB5yaJiooxoKatFu1S14pFrzOAXf1MByRn5SOzN6uZ8ny5HlZpVgqvRtBA57XjIZqMyeKbEzIdNj2kfjiHPqIaQhamqhYSzEGhF68bMqBWmaSVAMhHbqEdbkyCUrunHnT0rItf9x1rvOoyx+bL2U8hh9oY+uhBC1AFLKnr/k+/y5a/To0fLznz8ad/x3rptu+p5//V4J48m37lmqEkRTwwgUhFDwpIPnOXzQ/DCr5RqEUDAI4VDAlTaq0IlQTbVXQ1IE6ZdZTo3Hy1frm8IWerFfRAjJoKVRcBVUIWnPKaRtyZS4ZMew4KQam9U9OinHZUxI40DWodrQqDJhTjJDWHOYMfog4+dtxWwYAEPi9obQxuXxxrdgNU5FjDoN1x5E7d6EF0oSqD8LRbz1Wrez/t/RTvwa+d33I1UTL1wHWgDsNOG6swDI7fst5vLHUa69+y3zy99+GedNsD+7FOEU0AZa0fbvoO2+Zqy8SXd/NZriMmZMO12ddUgpWNU6DsdTaMtqGKrfc6IVfyWaIlGFz3ZsGVAYFfKd0PoLvgGA5UnyrocqBGFNoTYAPXmYHHMpuAopx3dvszxBW9YjrCmENcpGBoYqGRXME1Idhm2jmD3jFe2Z/bBNVwpaIlmEkER1i7ZMBFcKegoaqqAMsGzpB31mXV9KF1B9F7aY7psbaAJ2Zyyy0qKATUbJ4OIQkhEkHnEZJUue7d5qpimnsPibzUe17y5btoz29vbSeOWmqxsuuH56+J3nvfXgrzlY6HnH8YoQQgceB56SUt5SnLYdOKvIzowCVkgppxQNAZBS/qD4uqeAG0t5eUdY9rNSynPebdqR6rgwNM3jxlFVVcUtt97K5Z/+LJYDwZDOqSdMZ/yMObyyZj2W7TJnajOjmlowI1W0DljU6DkeffRJFpx5LuNamuns68BSLLJelsuWXoZepTOcS/Gdb3+H7936Pf7hK9/G0R1+cfeDpFLbeHlVgK985bPcddddhMLj+PBFF9DWbvDwr2+lvX0ms2adxR33bWMcEEin+XVPN0s/82lu/PGP+a9vXseyhx7ib0NBtgUCbFm3musv/hvCsTArnl3BNX97DXf98m7mnlHHD3/7CJd99rP0Dw1y6oUX8Juatdw2vIHr/7CVD51zPqGqENKQXGjA35z1We7+5S/ofvZlMtksHYkEr77qs3Mf+chHGD16NK7rct5557Ft61ZOaWxk1Pjx7N21i4vq6zlz3jyeXLCcdYvhnBVgr/RtsEL4J2nxdaAbGp4bxe6ODlYBL61axY033siql17C8zy279jBY7/7XVkqNnHiRBYuXIhpmpimyTPPPMPFF1/MunXrmDZtGrFYDCllOQjz3HPP5YUVK7j33nupra1l1apVaJrG6NGjMQyD+vp6nnnmGerr63nsscfYvn07wWCQccX9oL29vWwb3dTURCqVQtd1IrEYmZ4eXEXhE5/+NP99yy3c8M1v8uqrr5JMJjnh5JPZ9PprvLllK/XN9bzw/Au4msu5i87llJNOYfXLaxjq7kYJCtSQQt34WhRFkBydwNM8PvShD6E1aLivARw9oDmkCvxZJGfHod4zvfu+q2MBMyV52pFYHc+qyKYpjCyrklUBH6zk0yP9MW5hBKgYoRE739LrA0kfRJXuVd13S1P1opytso/HPJT1qZzeUBxEpwZ89zTwc25CYV+SFgYZKu6cw5Z/GdP2ymGQAqBOPRTkAOKEhD9gr42BbiB7+iGkQ0sEU1fAUHz3NctG680TGSow7bVhrC6Lwd1ZjKh/WrFSNrmsTTDkS8eyBcXPw1ElZkylu1NQnXRxCj7AGZW0ykAlU1Dp22dRNzmAEddIt+bJdluopkIu6xEyXSxHI1dQ6XGUsrStstm/sqrw5WT9jICdfMV9nrfqqEpArCTBG9UkYHTA/2yKYamo+qFyxcp6T4yNAHH8GBrhX269HvgKJRNpIRzgv6SUNx+3FTsOpShRDC2O5QyhCBOJnzPjehkCegNCKEjp/35cz0IIhYhRzwa2+OGa6LjYuNJGCIWQSKJJDVs49MssJjppB4YsWTQDEFjS7ydpyxpoAtKOn1fSV/BoCiulnyt3dHSzONZI1tVYkxrARGeH1c0sp5mDmSDnjbLY292A+rpHzahutEABI5pFtLmo8V4Cgy+T+c91hM/3kKEIoq8befB+cu1VBH/ww0M+B+3ErwEQmDCijs7l2yAItptBV8MEmy+Bay854ucoLvkJOmBnduNZA+hNF5EZtYL6xQtwDj5FfbgO4eYJ1F9Gcsf/oA12U/8f3WzYMQXbSyKEL9catFV2DqvMTjpkHBXLg/FRAB8ESgmyeDEiVGQ5867PgNieZMBSiekeQRVMxZ+nLqAQ1SWqgIaAjaF4RHWbrKsybPu/4xKYAQioLmNDeQYsg37LIKB4vl11kb1xpSBWDEbtLYwMs93imTbj+OsybPvmAAjIS4d+ZZCgDOHiz5sXWVQ0+sSAL413h1lX+BWLj0Fu5r//0UjO3tXlTODL0t8sgZli/Q64EviX4v1jFdPfYmJ0hOUG8IeuNUKIJCPMTqw437vWcZOcpVIpPnb55UjHIhZNctfPl7H04st5dvljTJs+k9HjJ6MFojhKgIIaRNc84kGF0844gzvu+jkfvvQTdPR0curpp+LEHR7742MMThykbWUrnuFBGDoPdPDY449y+hlnsOG1APMXfIihoSTJqvF0d7dy//1vAts4e9GFbH3DxXE8Lv/YR3nowTTQS/7xJ3jh8ScIALfeeSdTZ85g9bPPEQcumD6Tf3vkbr596TWsW7ue/963ni/MPpV6wtQA83JZfvrbR0g31OP09mICPybFlZ1P8ZsDoIbD3DL7DNZ0rGHJVxfz+MQnQIPxjwzCRHhyHdx7770UCgUmTZqE6zgcaG0lHA4T7+riuRUrqAJ+tnw5kzvgn75+Ci93vcLSvz2VMevHEnUaeHPrVtqyOzn5Eycz7tvjOPjIAa6cZhN9MsYv+m5EXwGnARu3bSMJmMPDVDU3s2XLFrZs2UJDQwMXXnghUyZP5qabbkLXdRYsWEAul+N//ud/CIfDbN++ncmTJ/PKq69yww03kM1m+eEPf8j111/Pjh07WLVqFa2trTQ0NJDNZtm/fz8NDQ10dnYSDAbZsGED0WiUuro66mprWblyJYqiMGHCBIQQXLhkCV4mwwuPPYZwXb77k58wtamJdDBIi+vS3z+IxEXpUggEA1SNqqJnoBfd1Rnq7cV1HXa270IP6kyY0EI2nyNUE6J1sJXu/V1YGQux/z0MHPL4edrvVO9DQPPnoHf/V9Q7hWmWwIwe8R+71iGyobeljYzICDNTYmLCyRHGpXSrzCWxs2AW3fAKg/57luYvgyV7ZPml3hwj5EsaKwFVab5SRYvvU2Jwchl8T2gQiaSfd2P4O6nMFIoWQI7P4uRGGBc0BRHU/MvEQxYylEUYtm9NXFuFbO8dAT4lFqgmgAhp8JEo5pBFw+gosj2FHPIZnXJ1FnBzLmpQJd2aRzUUmmshODlOekua4YMFzJjK2LEqnbtskrUCM+5/F6XXq6bCQI8kU9BwXFGWgyWKhgWl3pnKDJnDJWYhDg3NLPXTlOjIOD4zk6846WcLRYbIciFQcaxIJMGI+PtMCcyoxsh3+17q+EvOvoYvQ11QyqApZmDdLoT4upTy1uO5cv8/S1UChLRqXG/kWOK4KVQliiJ0PGkXnahcVGEQ1RoAGLD3E9Kq/fBNaePKAo5XYIw2GV1qzI3E2J7299D9WYuIqqErgoyrsDelYks/WyVmCDpzLgFVoS4giOoeK3rz9CuDSDyWD3egS4OJehV7nEHCMsJ+d5A6orhS0JqJYPbWYdkGiuIypuUADzy2mI9f/DjmmH5cayxS8xADvTCQxivoqKE8zo++gPb3d+A9+08Iq4C44N/e8tkEA++W2/zWCoUnlA5PZWZHbx4BQbl8G6L5Q6hmPaPug3jnM5xt9eIFqwhueoree6IY4TyRCW10rJlBIJxFM2z+/Q/nMiroElBV5iRTbB+KsDPlAxxNQL/tUJAu01WTatNGSkHSLJCxdaK6f+zVFA9T9Y+JnhRkXbUMAEpSOEN1CWs2PfkgAK4nQIGcq5btmcdHcuQcjc68TsEVDFl+v4yu+LJAVfhmBq704+MyDugoaFIjLYaLBhI2Mc8/tsdkhGGRptacSrtz7ETp0UrO3qVOAz4DbBZCvF6c9m18IPOQEOJq4ABwGYCU8p1MjCrrC/jHndH4F1pLB+Fh4KdHs2L/3wHNg39zB6NGj+Y3Dz/Meeef759b8w6TJ05AkzbnnXMWsep6LAwsNBxHsq91P8889wKLPnQRHX0pvvi3X6AvlaMmWc22fduwsfnoGR/lxrtu4JrvXcOd99zJVz/3d7jTHC6v+xiJCeA4ecaPH08m3cn2rVFQmqmuNklWfYidO/Yx94QannnmRS740OeAPJ/4xCe4//5f8PXLlzB5xnR2v/EGuVyOLcB+4A+93VjAZza9gKiFz06byqrnX+alTS9z5cc/xnP797P0K19h1fZtrGITjePmsWb1s6S++X+4aKibzWvXcNOe9Xx19mymjZ1Gnajn7uzdfPGJL3Lbstv4zc1Xc9e9d/HH++GFF14A4Mtf/jL79+1j2e9/z0T8k/ek68G9GV77yhvQAlkry4MbH+SqJdcza+pUup/vYG1kDQ9c9GsmT5zIzBkzuH/0/aDAgp/Nx3zY5GtzTmfja69hp9N0pVKoZ57JSytXMn/MGO6+++7yjjJ13DheeeUV2traEEKwfft2AIQQzJw5kwceeIDt27dz/fXX4zgO48aN44EHHih/94lEgnw+z6yZM+nt7WXbtm0ABAIBDMOgYFksPPlk2trb8TzPNwyYPp09+/czb/JkktEoJ06bxu4DB9i7fTvLfv5zrv/GN3jh2T8iXIGVs+jr6aOvrY9zzvgg+WyW7v5uJkyawPQ50+jo6kCzNVpb25g6ewp/2PgUn/vbz9F068+PfYfO8b8S0JTqvdC776cakZsdg31uEdgI1Rixby4xNpUsDBQZmsJIU3+lQUCwAsAoevnqvVANZOXVezPhL78EWqACCBUBjhE5NMCz9D6HW0OX1jFRV7G8YqinY0GyHgoHfRtopxjgCb6hQG+G8imgyLwQLLqoTaxBDqaRdhG4WIN+38hw8XPJOf68OcdnfgBqAuV7YfiJ08IoMkBTPdRhf1sipyZ8qVt7HqZHiARUgtVZul5PY8Y1GqebqKaCW/D8e8vDtQ79EWmqxK7AYpUSsbwU5Dmy7KwSxFBxPwrfprnEyuQr5GyaKgmbLqFacwTQ6O/AvhQd8YR4L0owAcox273/OeoK4FwpZW9pgpRyjxDi08Afgb8KQHPTTd/D0BrIu0Noij+A9aSDqdfguDn/Ypooft9FdyrpD0cJa7W40kZioytBFKkyRp2JKx3ald2E07Oo1U0cKel2spxTo7CqRxLTVSI6DBR/aqsz/legeAppZxgzEyBJnJzIkvCq0KSKI1x2Of2MFgm6vRSekGhCsDNlognJvkw909JR8v+PvfeOk6us2//f9ylzpu7M9s1md9N7byQQSkI19I4CjwiCdBR8eB7hqxIUy2PBBykKKE2JAlKU3kuQUNNDCunb++70Oe3+/XFmdmdDlfBV+H29Xq9kZ8+eOW3umbmvc30+1+Wo6LtHMTLaR7YriurP0ddWif2nOEaJgxrQ6Ng8kkhZH8GqHtwfXIaTMTDqupEvXztg9/xRSCU3ewYDeTj/ey7qtz75d+yeJEmYaVx/CWq8Ebn4u1Rm/w8yGCI36giGz38XzBwi0c/SBbex5o8Hc9v68Ry75Bn8dd3810/PpzktifkEQmjMKYOInmVYMEVHxru1MTyUpFD1LKUgbevEjAxx00+ZL0fW0QaIiu0q6IpL1tGoCaZI2zqOFPTlzQL6TR9q3qpZFZKY7pB1NAwVcpZEkcILAM3vz5GA4hFXXahYwhywZTZlhrgCfhnClDYpkUQXBtdc8+nUGQCXz8Tl7FU+3LLkA+cNH2ZitMc6NwA3CCEu/bQ5eP90QmPmcmzfvp1FixfT1tbG7l27aWpqZNq0aYyZOJWsI0jlXDJmBkeFVMZiVEM9Xc3bCKgOf3viaaZOa6e/v5/S8komTp1OdMRwj/GPg4qyCk4/7HTkFJeOxk4CpQF++5PfceicI3npsTewHBMsWHzQUcw7aCzr1r3I+vXdjB69L3PnJhFKhKuuupeOzhdZeu0N/Oaa82gHvlpTw/Ntbfzg+99HcV1621rJPfgQz7a3c/xpp7H0vvuYUu7ZS7305/uYMmM64xyH2595ljpgo7me//zPH5HNZvjVHS/hZZf4uehLX+KEP/6R/5jv47xh55GMgjOxnkx9hpmnzsQet5o5VdNZs2Et999004A96Va8ufSMHXC6832+ce0PuPayS1lgBFj1s9VoNS28um0FG9ZvYP6CmYwcVc9+By/g7mX3QDx/R/JwqJu2gNufeIJFBx6I4jisXb6cqKJwwhlnsPKFF5hcUcEBJ51ETU0NyY4Ofvmb3wxkxgAYhkFFRQUnn3wyS5cuZebMmSx/5RW2btvGnDlzOOH442lra8O2bXY3NjJl8mRKolHGjx8/4JwmhKCrq4tkMonjOCQSCUpLS5k0YQLbNm8mFAyyo6mJ6WPHIjWNjOsST6X4xkUX8dDf/kbMp4OEdzduZNY+M4lEIqx5azX19XX0mb2MGNFAf7yfffbZh3Vb1mGUGMybNw/7LQd73V7mRzjAx23ic2gK8FnIu58rFMrNhiwrCtPcE/m+GWBoEGcBBYez4h4XJ+epLtle7+dAj4wxaOushwZL1fLHUyBJ77OFLkYxmSk+9j2JzZDzK1KECtsgCD7LI1sEvXK0WOlgX45tegGeuoUY5j1P9iU91QYGk+0sC1FZ5tkSF1zVYIjxgNeZq3kG4RkburJIK+116fabsD2DLNM9EpB1oceC2jwxzDqIuaXI7UnE1BK0qSUMX+I5muY6AAAgAElEQVQiNyW9/p0yHVpymO0muX6bZK9LOqcSNFxCOFiOgk+zMW3h9bcAlq144Zc5lYjqZdoUO5/BoKMZvL8srdDbEzQc6kLetn2aRFfd/MusIII6wldEKhV96DgaGAd7qdJ4RV57t429g15MZgqQUnbm6+f/n4DfV0epPoJ+uxnwyIoQCqbVS8ioxc0bAziuiZQuhhYh6/STtfuROFT7p+BIi7Tbi64E6KaZcjGccoYzJuSnO+fSYaeZFw2zpkcS0aArJ9mdzZImS1JJgIA2ZwvD1ImUumV0qK1kpFdKmhRxWp1NNGjTyZFFFaVklAz7BWrZnMrQlFbwqwKfInBlkNqAjV91aIxHKd06CnvzWKqrOskkg5hpP4Fokqpxu0g0V9K/qxZFs0knwvS+OYNRG7YRWft1rO4I9sUnE6rcn3RqG0rbm0PK0IrJDID6rd+Rim8gVDIF8MrT3O0PY1dMJFT68aQ/0HAsqeRm/FWLMDfegfAHELua8Gcz4LrI3T1QHUSOrGfqkuUsrW/m7keO4bzz/si3D3qVUEUfq96aRTSYYlVrHXFLpzyUpMSfwafZKELSnwkSNrIIIVGExHJUDM3GkQqOq2C7ChlLJ+uomI5KiS+HIwUxI0tfzk8snw3kU7wcmpTtkVtVSEzXMwHQHYHp5G0lpFdyBp4SlLBtkjKHgZ+kaCPhtAEQVqsIEqFDbSXqlrM2dR+w4FOPZ1d+gmDNT731zwZSyhuFEFOByRQJ7lLKez7uuf90QuPz+bjjzjs5cskSpJRMmz6NRYsXeenyWRPVH6Y/2cfPb7mL8889myxBnn/0b/xg6TX0E+XU45bw0MMPc+m3rkQNldGfzOCYDms3reWbZ36TTZs3U1of48Zf3sjFl1/Msy8/x6zy+Tz3xLNMmDmRze9t4kvHLmGffeaRMNcxe/aBzJh+EJu3vMDmTSoNDc1s3LiaxYsn0d29i1PP+ir2pk10Ow6T6utoff45nvz7a5xw9tm8XTec5nXrueG++xg7by64Llve20pVSQnWiBH87JZbmDJmDN2RMFtXr+EPv7iSdvbjvG/cQDr9JO+9N4WvXLOURaNG8rP3tnLj9h0c/lwG5bzzeKW1hfV5RUhrXcuow2cyY5bLmjVrOfucr7HCbGPT/U+xaViYh6t/yrGLT6Hzkmd5+/Bh/Pcp/0XP8l6mVBzKjO8cw4vL7mHasqnc/ft7OGXZybz6vb8zvnIa21ev5u7n/xcch+3r1vHTC84mMWoUtz/2GGdcfjmvt7Zyyte/zq233grAMcccA8DOHTtYsmQJzc3NrF27lu3btxOLxZgwYQKHHHIIf/nLX2hsbKSxsZErr7ySh/PmBWPHjqW3r49MPotneG0tO3ftwufzMaKhgabmZs9dTUoMQMlmCek6zdu3ozgOESA2axYvvvoq44JBnn3pJcpDIdpaWphaNZHZM2dx6KGH8tifHqO+pp531rxDMp3ihede5MTTT+CVV18h6+QIlgX47b23cuJpJzD6qrv3bkB/cRWavZZ3v1AotnIuLhGCATIjP8ju2SpqkBrIlMm7lunh9xOhQp5NthfhL0VaSYRRNph1U6wCFbZZbAtdjGKi9HEoVpAKvTh7OrEV1Jm8BTR5C2gRK5p86z6PvARCyK7OAeIyZBKfHpRGRCzsbTtkeGVoXVkwXaTpeG5gmjJQ2iYB+izwq4jRYW95TEf2eOct6kOIqSXIlgxsT0PW9fpmfArhUoj6BGYCAkjsnJejY9rqgLW0HrSxHIWg4Xo20yUmXXHvXAtho4WStGKVpoCA4aDnjQsKhgO66g44vfkWlyHGVnjXKBTyygz10NCN5InM3qkz8FkoNJ8m0bsIH+Xd+Cl80b+YcF0bi+xAj4xPCZHMNaEoPhShI3CQKER8NfRbTajCwHSTWE4flcHpmDJNxunFUEsIiCi2zJEWCSqdGnpNF0tKooqf1ozXvxHRBeuTSSwcbOFgY6OgENWGM8Ktpk30I1Apdyt4132NUr2egBbDwqTSrQQV5hq17E5bBIWGTxG05ywqdJ1eIQiqKq70EdQcdnRXAtDYV0ZQN6mJ9hGIRyhJhGhvqyLgz7K9fRgpy8c+4zexe+soRgez9OweRu29d2FllsE3/xvl3hXIfddBNguOjTj+1++7jgUyk+p92yMx48583w2FIddd2kOMCQokyTfpHFLDN2CUPIU279vk3vsjPm09bXdXUXP4BpbdeSaLp6zjrOMfZfVji8hYPmbXdtKbDaAoLhPKO0mbBiWhJLpmY/hzJBJhfJqFrltksn5sV8XQLAzNwnI0kjk/ESOLpgz20KiKS0B1MB2VmJHFlYKMrVOiOPTk/PhVB8tVaMt6nz/DAzZ9puZl5Uqv7EwA/bZFGpNepZce0YKKTs5NkrX7UIROr7sLwxcm7EZxsPdKnfGuKzgfNx/5FzMaIcQ1eHk2k4EngCXAq3ifZR+JfzqhaWpqZr/99mN4XR3lZWX8/e+vccihh9CXccmYJtJKEDB8xMJBgpEYTzz4MLNmziSZiJOxU1SXhbn6qqvIqRH6+/uIlFeSVlMErSDZ7Vkevvsh5pzqfZnc/L2boR5m1s3i7NPPYWfbThafswghBJ0dnSx78Gn6+1PMnTeNpsZ+Tj3tNNaufYWjjz4Dvz/Jhg1bWf7Ky7S17eKyb14Gjz3Ok9u2celFF/HtW27hx5ddRn9XNzMWzCdSWcmWN9/k7/E43zjheK67+x7Gz98H/xtvsm6/fRkJvEEVMJ/bb7sG3KM59dR23nzjcLL+3Uw75WR2PPAX4kcuYfzrK7hx927++4gj+NZXvsJ9Tz3FihWvc93Sa3h66Vp668NoqxMc/vVT2TcUZMWuu3jk5gcAmPXnTdzLiwybCYbmY/6YE+gcN4lNN5XxZf/X6HmrmQMmLuKnjz2GnUhw+mmnsXrNfRy83zlo0zVWvfsYh3zlK9xxxx2cfsEFNO7eTSwWo6+vj6lTpzJhwgR+8YtfcP755zNnzhwmjB/Ppk2bBlzKHnzwQQzDYP+FC0mmUqx47TWWLFnCk08+ydatWznuuONwHYem5ma6e3qYMH488USCnGkycsQImltacNJpNMfhsEMOYcfGjaj9/fgCAVKJBLFwmAULFjC8vJxUUxOZVIqRY8ey6p3VLDhwPlpOoyJawdTZU1m5fiWjJo1CCSq0trfSn40jdIFqqYybO5Yqo/rDhuknxxfUFOCzkHc/d/jA0MxCyVjBhtkcJDd7Nm1bSY+MFNSeYlWk2LZ5IJOmaBmAHhogLCLfPyOMvIlcnkDJXM/Q7RZK0wrkQ9HfT5L23E/xsgIZKvwskKxCiZrvA5SCgloTCnuKDSFPtQFPjcmXU4lQ0FNv0vbQ77igNuCgJvt7vN/zgZ+F0jVRGfDK1wo9OkE/xAumCAqyJYMYEfLUm7YcpF1k1kVU5cu6YjrOjjSROgMz4QyUnGkB79jsjEtJwCv/KpgFODmJakiSvS7ky38aKrP0pzWChsOwvNmAnScthR4c8NSZUN5tzXIUdNXFcgZ7WFRDgZYcsi+JGFbtkcLiHqnCWHIt0PYgOZ8WH26D+knxDyV67/HcGUKID0rnEryfC/7/Fq60yNh9XsmY0L3sGcVP1GjIl5YpWG4GFZ2gVu6pM1Y3qhIg5ybRhEFYraJS1tEvujFEmJhbhovLdrsPF5caovhVQVvWwlC8dPiU4l16R1ggdUrcUtroJyu8L5sN7nIAeq1GFKHQq7hk1RRhdxxbMxksHFQUIm4YQyhe/4irogmF9qyCpnguXeMiKYZH+klbPjoTUSqkoDdRwnvdlYyI9rK5r5QR4QR/XT2b0xe9xPMvHMi+M9aQ3jEMobioP7wJ+bU5OI+8jjo9gjV6EvqzV2Me9G0MX/n7rqcarAdgy9G3M2L2uxg/+ODKxQ9yWSsgVDIF5nkEyRh3JnLLf2LbGiiwZJ83eHfTBK8/Jhon0VFN+9YG4qbB5OGNVNW34joK2USIcGUv2b4wmmZj25qXi+OzSCRD6LqFZelYDkQDaRxXQUoYXtJHdyqMKwWqcCnxm4SMLMlsgJhIowhJ1MjSkwnSYxqENIc+U2F3WqPUB1nHC//MOpKc66IIgS41atwqXMUlJzJYIoNAxaeGCKrl2OSIKxYZ2Q9M+tRjGbySM/djmv7/1QoNcDIwA1glpTxbCFENfKKaxX8qoXn56r/S09NDTU0NZi5HKpVi+avLOeSQg0llsqSyDjlbksyYzJxQT9v2d1m8cB5jxo6nNytwXInfH6Sntx9bySKCpaBDV3sX/oifTDLDhWddRKIuzoKZC3jgmfs54owv4U8YbExuYv78fVjz2lqee/hZ7760DgEZYuLwmby9Yj21tQ2sXNmHoJ8tm9/hgfuX8Z2rvkc61QEyy5aSCo4/fR/OuuUWvnfhhTy7bi2hMaPpdxy2vvUWq9esoQtIhsIEZi0kGZqGc/5ZnOKs5IrXdC4+dxzbmrfz1JNNnHWOhk+fywknfomHH7qYUbOO4w0ETW++SHOXyeWnH03v8FrmXbOUG048gdITT+BHjz/OUccdy29vuokrrr6aH//4x/zi2qU8Wg4/um0/5s9bwPWXXs/uV6FpNYw78WhaIhG2bdhArr+f6lmz2P2yRUfrSqyqKkKJBKppMnHqRO694w6+c8BZyNASNE3jtNNOIxaLEQgEePyJJ9hvv/1Yv24d3d3dXH755dx5551kMhkcx/Esm6uraWltJRKJIKXENE2y2SxtbW20tbUxd+5c+vv72bhxI47jMGrUKEpjMV548UUAzjjjDO6//35c12XKhAk4fX1sWLWKzqYm/K6Lrmn4DQNd0zh4zhxKSkr4y4YN9La0UFVRwYxZswj6giT6kuwzfwF/uOdupk+eTm+ml4YJDZTXVLDittdZcPh81qxfQ61vOLVX/HbvB/UnMQX49Lbx/9exN/Lu5wXSfu3Ds2f2RDGJyROXYsVEWsn3E5liWEmPNBT1yACDjeF5FWZPxytpJQdJkmuBnm9NL/TYWEmvt6bYMGDgmI3B9QvQg0PVowJxK+TdFAjO+whNEVmyrEG1pgAj/3vOU2lE0bqFEE/i5oBTGr68Q1r8I65/iQ+6sogSHcry65cpyF1Fb5wyHXosZI8FQQVnx+C5+SIqjun11Awu84JBAYJVgyQHoHykRjmQ65cYUYNgxh14vp62sWyB5SiYqiSadzDTVZeg4aIZAjuXz5RwBh3ZVJ8CwbyJQiFM00p6xNU1B8eVov9DVs0fCiFA3TuF5lMkehc/91/awPN5wI9/dCuqYqArASQulpvJ584YqELHzX+wK0KhM7cJx82iCB+K8FFi1BFUSkk6XaiKTo9op9StxBQmOZElLMMoUhJXkijEaMrkCKoaFX5JU1Zj/2AtG5MZ0mqCLmc7I5WZWMJkt7UKx83hOGlUNUiFMR4XB58IEpQRmkQHGhoqGpYwabKgV+mlREYRTpC/pzoolVFG+AOoQmFbMkiP6SNuaWQdQaVRRkDzytL8usWsynZsV2Wiz2TNuqnsTEbQ1k0jbhokLZ3Dpqwj9S2H2pHDCJqduH/fiFwcwvfEtch0lvSx30YofmRyBzBoAjD+sfPed73tVTeizbr0H3qNEt/8HqpfIRSLY24tQVFdpk7ZiOsohPV+FMVBN0xOOf5x3JyOa2kY4Qyh2i5wBVogi53xY2d9mOkA/kAWIVwsq9AHJzF8JjnTh6Y4dKUixE2DqJHFkQqurWPZGiEji0RgOSohI4uSz6dpyxjUBmwStkLCUjBUz0Us5yi4gHRdLGzCwqDEjZJUFDKiH1cOfgcJFGJuOedcufefK17J2V5v5v82MlJKVwhhCyFKgA4+oevqP5XQWKaJoihk0mn+52c/41vf/CaXXXYZHd192NkMlqXT3tbBjl27mTl7DrZUqB5eTc6R2C4I6ZLN5SitquN3d97Ntu4EI8eN4KTTTua+B/7MUSceRWx6DGerg5zkMv/oBbRtayNtp/n7r19F7i8RmuC7132X635+HWdd8DXufuAuymPlnHvuuWzcuJxJkw7jkb/+mVx2JeMnzOF/f3UjX1qymEcefpQz/+MYlv7hdn502aXsY1m8bttURyI079rFhOkzGD5mDGNGj6aztY1s127mHXY4rtvBd295njPO+AoYNYw2XuCKK27h+uuXUVpaz9HHJPn6uSezefNGLrn0dHbtWkjpjg5+tewR4CUMYFlO4+XHHyCGZy78y3PO5rIf/5j5Bx3If16zlMsvvYR7772XAyYeyME/XMwLt7zIosMO4s5vPMSDwLnnnsvvfvc7SkaPJhOJEKquZnx/PxNravjhww+zEBhWBaed7ZVfXXzxxcTjcX76059SCEsaMWIEjz/+OMOGDeP1FSvo6+sbeF23bt3KzJkz6enpobKyEit/B/iAAw7gnXfeYcL48TS3tKBpGqqqUlNdTTgcJhwOc80117B9+3Y2b9rE/H32QU+lWLvaM85ItbR4pWdAd08PkyZOpHHrVprfe4/ueBwlm8U2TSaMG4fuumzYtI5dO3bR0DCCqZOnMmHKdFKZXm77423MWDid4047luaOZjJKlpqGamDb3g9qmy9kD00BeyPvfq5QmNAXZ8W4lkdaPsI+930mAIpvkNAUFI8CAXGsocRC8Xn5I4WeGXWwb2ZgWf7xQP+Mlf7gMrKCDXSxYcCQ3hiG9OV4vxepOgWVZs9cmwKKTQV8+X3589eroNgUB3sWYPjy5AZEJu+UBp4aE/UN9t7sCdMFbI/4tObJScFBLWVD1OeRJV0By0Wm8/vtsSDtog4bqkip2bwtbu/g8QXKP7gczzElqk8QrvPjZLxJp5lw8EXUAbUn12/j5By6e1XKS5281bSKEdXy23CxMy5GVMMxXe/vadc7h0DIu1bF2TPw2bibFeOTlZxVCCHeLvr9fQF48IkTvf+NIvjUEnQlgCstAmopcacFxzUJ+6rzJgF+HGl5REe6qIofgUpAL0MXASyZxVDCnsMZFn7px8VFRaNX6UHHx0g5jDbiHBgtw5GeEcCYkI+7eh+k1BhJV3oj9cEF9NONg02Fbyyt6VUoio9q/xRaUm8RC4xlrDuJ7coWTJmmhtH0Kp3E3HKSIkW9rGFeuc7L3SlilNCo7qY/V8oUWQmomI6CnZ/o9lsqOVdQbkhWtNQxIdrLzkSUrpxOmc+mJO8GFtFNso7KU+unk3VUZsejVDf2UFHbTu/vg8RGZdCCLsGHfkb6+CsIPvNHcCXpw72bBVLRBshNAdqsS8nsfIj0dZsoO3gnuC7kXNyUAnNGoy68esj67o1fJ1Cv4cSDhOvbUUNZrO11+IIZIjVd2KkAI+e/jdlYglAdL4cHQJNISwFb4HZH0UMZnJyOotmYWYNgOI3rKFiWjmOr2LaG4TOxHZWQL4cqXEJGjpDhOdTFM0Fyto5PswnoJrpuYfi8crWI7jAskGFLPExNwCZpqViuIOYTpGyFPktSgh+foqA4Cn4ZRBEqPi2C7ebI0Iuu+ekSLcDQ3qRPg09CaD4H05W3hRAx4Ha8cvgkH2Dz/EH4pxKaQsp8LpfjgvPPx5WSVCqFpvuwXMGWjesxcxn2XzCXRMYmGi1DM4K09iTpzQqi5dWsfOF5KobVc8pJJ5IiSDyT5oWnXqCqqprdLY28/NtX2GnuZGH5Qnp7e3nz7TegDeYcOhfZK2ls2c11372Ok488BV+vj3OPOY+elh66cz2MGD8bqa5DuirpdD0HHzydWKyGjRs7KS8fw6vL32bipH255dc30nXRhTy5/FUuOfdcKnSdbF8viUyGqGEg/X4uO+lENu9Yx9ZEggvOO46GdBffuvlmLrvs24yzXuLCIzNkjF3cdc8BnHTyZUybWk9ZWZybbrwNTRvL5Mnn0DBiPNnsvTz5ZBIfUFlVycGnfZlT772Xicd+mUx1hDdefoWlL73E2z29jLzjTsoWL0JOAmOSwbH3TGXJBhstuIKpwP3338/Xv/516uvrefqppzDnzGFfx2HXypUcs9+RLFy9muC4cQB0dHQQCoW44ooreOihh2hqbGT6tGlEYzFisRjD6+r4y1/+wqJFi6ipqaG9vR3XdVmzZg2u6zJt2jTeeustAn4/mzZvpr29nYkTJ2KaJl3d3XR0dpJKpXjttdcIBoPE43Gadu/mG2efTc51KdE0KoJBgo7DrjVrmD1xIi0tLXRs3MjOnTtJA9MaGjjuqKMYUV3FY48/xuQZU9i9bRdr1q/nS4cdxtMrVtC5ZQvEoVavRXVUTMsEF2oaaj6bQf0FtW0uwqeWdz+X2LM068PIjGMOqiYwVFEpJhIFAlIgGEXriQKBKX7unpNaxxwa2lkgLMWmAVZy0Eyg+Bj2JDBDyIxvUO1R9EFS83Eub6oxtN+msMlCf40/b0KglnrZOuBN4C1rQL0RhT4bQKbSQ0lNnqAU3NIAj/gUI+rz1huWJ4dpG2G7XiZObWCQ3IBnJpB1PaOAtIsayx9nNi979tkDpGXgFH0CNaCCX6FACXyAGlAJBLwlgXIHM+EQqYNcvyA2bpCoZjpMfBENX8TbFqiopbrXEwTetfB7RFc65mCoJnw6l70PguCTlpx1fVyw5j+Q6P1vFMGROVSpIXFJ2G0DywUKAdUrN7TdLAIFTQ1gOxlU1cCvlBCiFA2NPtpx8q5ncSWOggLSJiCDGNKgiyRhAnTlCmVIki4nzUTfQbybfQ7XTWHKNG0Z7yaflDlAAenSnHqdmuAccjLJWvkqBiX4RJBmdzOKq1Ir60iKFEFF5bXuHK1qGxKHUreSXqWTLTmdlF1CmU+lxAcx3aU1oxJUFar9OXQh2R6PMbqkj3Exl95sgISlY7sKOUfDULz3t+UqrGgbht5ew5FS8OimyZyprCBc1Y0VD+K8fR+NrTOomrCDgHa/Z3aRsuDri7DW3II+46KBaxsYeSKB/LePte639F3f55WCbcoSfutcUEC9zFtBufT35G1JBhC+4mrMZBApFVS/idNlIFQHN6fjxANoYyxkt4XSEARVw9B7Mduj+CJpfJE0Sm8JZtpPKhkiEk2QTXtFC4riEg6mSZsGKctHLJhG02xM04fremqLKwVS+ogAjqugKQ6VRg7T9TKFDEWSdRQqDc+wRBUCy1VxpEQCOZHDkAYlohJHtUiYrdhuJm8J/tlMIqQUuB9jCvCvhpSyMCB+K4R4CiiRUq79JM/9pxGaG4/6IeFIhGQiQSqdJpfL8dtbb+WKK64gkUiwc+tWfIpDeWU5Ib+OPxgiJxWSWRNN0ygPCWwELXGXJcfO474H/4aphjnsyGNYcugSOpLtlNdV0C7aqUvW8fRNT3H8+Scwf8IC9HqdV19Zzn7jFrLk8iWE2kL0WX2Y6Ry5TA6C0NXaxYq3XuOb/30WiFex7Qo2be7CMKoZO7aeysp+9ttvNnfd+XMOO+MqSqqG8b1rf0Jb0zZmzJiBv7ubaFUVS5dey8UXX0xtpIQ+cwfYNsMNg1/dcAOXXPJtdmx9nV8/8SRQy8hRB3D4Ef9DQ/14qpru5arfvADUUVZWwvgJDTQ2NjJ1yqU0uPvTqNSxusNl9Y27CNFDx9/+zBPA5ZdeyvIbb+T7F11ETyLOr/7wR65cuB+MH8e6Z57h0ksu4cbf3kTDXLjgmCXMnT+cBV9aCsDWbdvQNI2SUaPQGxqgs5P29nZaWlqYPXs2JSUlAGzYsIFTTj6Znt5eHn/8cU484QTeWbmSeXPn4tN12tvaePGllwCYOnUqAb+fYcOG0dnZiWlZCCGYOXMma9asQUrJxIkTByybp06dyvr166msrOSIww+no72d/q4u4rZN6fjxLF+xgpkTJnDI0UejOQ7Nzc1MbWrkvR1b2bVrF/f9aTezp01h/XsbOObUY+jv62Pt+ndRFO9DZslXvkK2uZmKWeXce++9jJ40mskTJtG8tfmzGdhZvpA9NEX41PLu5wEDds3/KIqJjLuHbfOeCkdRidj7mvqLUey0NpAz4xvMt1F8eeJiIdODE6SB8E5VH1BzBs7PKmLLe6ovemjweY714QYCHzbJ1sMeuTGLwj1hkPD4w4OkRi/admjgP4/cFJBOeWVpesHaOP9zDxVHhIwh25Skwc5vR1MQIc1TcQB8LtLvMOSrKutCS84rAfOrHmkpEJw8AXIyDuRzbwDU0gJh845J9SsUjjxQ5YOa/DEFFQKjA0OvU9r19qUp3rEHgwM9VMJfNkgm4ZObOHws9r7kDAYSvR8E7pVSPpRf3C6EGFaU6N3x4Vv4fxPXXnsdfl8dQqgDhgASF78WJah4ZCbhdGC5GSwnBbhI6RLSKtGFn5TspUIOZ5ycwgbeQhU6aSVBUEawhElABsmJHFEZIYdFV07DlA4jAn66MnnrZzfLwcGzeSX3CJoSwpU5nKJSJFUJ0G83oytBLDdDUC0n4/bjU4K4OGyWKxnJNFaxCVNJY+CpRd1KOyWu54bW5qhYuSBCaARUQVCV9FmC7ckgGUdQ7nPYGo/hVx0ytmdf3JE1OH7SBjY0NZCwAuiKO1Cr/MjGyZwyfQ0bt40h0lTLuo5hnLjoZUoqeonvrkFpdSg9R6J0dyAfugS1M0268mmUbBz/6FOGvAb6tAuovBPk09/B/HuOzO4q9JI0zg8vRWgOimEhbRUUiWLYZJvKccwAiZ4YiZ4Y5Q0tEA/hpA1cR0X2qISMFoSmIEwLtyUNroIayqIGTK8czdKwMgZl1V34QhkCJRqOrZKOh+nsqGR4ZQc1jkpfwpsbOa5CLJSkLxUeMBPIWD58qk3Q55Urq0IS1e18343EQRDRXEp0MFSFnpzAdiXldgktSgc1bjUBEWSnlsRyM6StLjT1s2lbc/n8KzRCiL/imZb8VUq58x957j+N0IwZM5rbb7+dI444AtM0SafSXHD++WQyGRp3N5JO9BEpKSEWCdLX042j+DClirANWlMqpdEozz35GMcfsj/SNmsSvaYAACAASURBVDn6mGPoSuRYv24toUgJFXWV/Oi713HwYYdguAaTzppE49ZG3n77LQjBFGMqa95aTTQapayuFC2q0drSxvBJtWgBnZnTZjD1gNHcf99DdHYonHHm6ZSVlbBhw8u88frTHHjQEdhWhlNOPYfKylI2b34Hy0owenQ5r7/9NsMrKgi0tXHdtUt5d/MWosEgUydNonf5ciLt7Zz0pSNo+fvzTNpvIVWHHsLz29o45ui56HopQuzmFy/kqKm5hGhsBEcffTL333cvjTvaOWDOFCYccSVHVl3Bb/5wNV85/avU1PwPv7r+fCorF/GLG18Fqth6yy2svvJK0hXlZNJpNgBHzD+cd155h/1OPJb7jSdIHA5XP/ED3vrjUjav34Lu17j614+xdetWdu7cyYwZM8jlcvj9fp5//nlGjxrFD3/4QxYvWsTadetQVZXZs2fjpNOYpsnYceN4+eWXsW2buro6hBBomsbUadNYu3YtK1euZM6cOYRCIZYsWcLkyZNZtmwZmzZtYvr06di2TW9vL2WxGGFV5fVnnsECSoH62lpWvvoqMyZMoLe9nd2NjbyzYgU1FRW8t2kjF1x2IY8+/Td8+KgZXYNvmI+X33qZVCJFRWUp7/b28vI77/DMK6/wq6VLWfPKG2Tey7LKXM1hxx/KuMnj8aov9hJffIXmU8u7nxt8kF3zJ7lTnldKCkYAMtvrkYRi4qAHhygwQ/ptiu/OF5SgYvOB4mWFY7RSgy5rBdezPRQa6RS5oe2p3HzQeRfUow8qNYPBUrTCunv+rVCOFjCGluw51qBiA4MlaUVZNkR9nrFAIASZ1GDPTV/vYPlaEeeR5mAvzpD7hAFtUN2BIaqOsN1BgmO73hdugXTkS9Hoy+8rnbdYhkGS41e9v2eL3oh+xSM5fo8UUbCXzruwEdMG16/x7JqJ+mBY3aBCoxqD9t97up3tLQSg7F2w5qdI9P43ilCqjyDpeFxPSheRdxtTUEi63eScOJaTGFhfCAUhFKqcWjrUFuKil2Zns1d2hpXPpBkcg7awaRGtuMIl5o5gXNiP6cDUUIS7ex9FUXy8mFmGNwVWkTKHqkZxpYmUFlFjJEmrHdNOoKkB4lYLuhIgRjUZkSKsROkW7TjSQsW7yx+kBFVq5ESWnMjQp3SQlbXk0lEyto+oT+BTIG4pNIRMmlI6M8oymPlcFV1IgqrD6zvG0pE12J4cnELaeQetLc31/HFbJTNLHVQhuf3pw5hc2st7/THGRfuY9Itd1Ezuwb3qQoTQoH8rxtrlkCc05sY70Fp2kJ1yEFL1EzripxhHDNqsO9efR6apEisVwMoYXk/MyFb0WBKhSCJm30CujJPxoVx3DtpPbsbJGjjxIGooi7NTkmkehr+mG6FIlFgapzmGaliU1HrBlao/hxrKkm6uJFLWT6SiFyvjx8oYREv7QJHs2jmCsrJe/EYOx1WIp8IEfDkypkHaNMjmgzkDmu393TKQecbgIugzwXYlO80kvUov3bKJpNJH0unAp4SpVSfT4rxLyiy6AbYXcD5JD82/mtHA9cBpwE+EEG/ikZvHpJR75iS/D/80QpNIJmlubqa9rR3HcXjq6ac466yzSCaSdHd3EY5ECPgDREvCSFXHET4sLYISjtDa18Wvf3MfP77matZvbaS8po6fX38zxx1/PCFDIxaNsmXDFgIyQLw5zts9b/Gd6Vex7u118AIcc9KxPLr8b5x+3ulIA3zCINGTYM6s2XRluiktj5FRsrR0tnDqaeewbt1ybAvWr19NLFrNokUnU1rmsnnLetatfZdgSDJ16kgqK+vp622hpKqKlx56iK5EktpJk3l52TJ2lJWiOw7/cfbZPPXcc5x8yik8vmIFfS88j6irQ7Tv4LUVf+bgxSfw+9/fSji8kObm91i06CCymVZOPfVE1q3/H+554C5OPflyLNfkv664CVVVsaUN9iI6O9+D9P6cef53eP7pM9n/T3/irNZuTjj6WLbt3EF07lgqFMHNN93MqHFjcevrOfO73+Wa7y3l2u8s5ZoTlzJhBnS+CA/86GJuuOXXvLl78DUrLS1l4sSJVFZV8eJLL+Hz+ViwYAHN3d1UVVWxatUqNE3DdV2ampoAaGxsZPz48UyePJlt27axzz778M7bb/OTn/wEgKqqKjo6OmhubmbWrFksmjCBRx9+mG68UJQDpk9nwZw5/PnOOwkCzfnwzocffJB506bR1dFBVU0VDz30IPsetB+vvrCcOlnHytWruPCsC8llsgTmBmnsSjJ71ChCPh8/WbqUYRUVzJ0zl9dWvsaz9z9H89SWz2Zgf8EJzd7Iu58LfJowTWeoOiMLJWDFk9ICQXCsoY3/BRexApH5sB6dvDKDv2zQtaywn4KSU1yKNnBs3j6HfKcUCJWVev+6xcf6UaTmo1CsKhS7panWoHoD3uNipWbgcaFcK3/9LAsq8g6Cdv5ap1JgmV6w5wf07IiQMaju6EUT+WKCY3uPBXgEx3bBpyJNZ1BhKaDPBjyjAcDLv/HnFY/sR7h05LcjgvrgaQGENEQsAJHSQVc6I1bUO1UwY/iIwM1/COKzcDlbyD+Q6P1vDMLQa0k5XbjSxZE5XNfG0CKo6JgyjekmcaWNEBpSemRbVQJI6RJX+vHLEH20oQrd658REUyZpp9OonjmAGmRwJRpprrTeM15nnhyIW/n/ooQCqB4xAUH7wtERVFCSGkT8tWQsbrIOL3YTgpDL0UVOmXaCCyZo4cWKmUDACm3G0VoBEQUBYWwLCEj0gRlmBR9lMkaTGFiSZd2M0fC1qg0NCwXOrI6w4M26/vCqALqgzl8iktYt2jNBNAVSdQn6TO9cVrll+xOwX07qqgPSbYnNfpNiU8VrO6tYFF1lieaKnmvP8bZ9W1w9b34fn4x/tojSB1Ujr7xDqSiomZTiHSKwDN/Ar8P88Rp+LTowGujXnE7BQ07c9WVODkdqz+MtBWcrEFH0zCisX5Uw0IPZUhe8gBQRaDUc46TtooSyBGo7cI1NdAcnD4/QpH5Xps+3IxBrrsEO+0nMqkRuyeEnQxQMqsRmRYkNtehhzJMHd6JnQwQA1LdMUpL+2hrq6Y/491w8asOPaaP/owfXZE4UuBKMFRJTxbStkQR4CLRpY+o8Erhk3Rgyxyd7KRWnUxvcWjzXkBKr4/mI9f5TPb06SGlfBl4WQihAgcD5wF34GXkfST+aYQmEolw2KGHkUqnaGho4NJLL8Xw+di+bTvxeJyy8nKCwSDpTIZQSMEf8uNoBj/45S8556LLOf0rX+Z7117HIQcfTEtLK/950dfoiOdYtfx1JkySTJkwiXEjRxGOxnj7d2/x82t/iIPC8SecRMOIBk467mREThCJRejr7wM/tDW3ER4RZufOncRqY8yeOYdnn70dy+qlvHx//vLA75i/YCHBoOT1N5oZNWoUC/dfxNNPPUJLWZodO1opLzfo69rAhZdcysamRra8t4V+4JCjjuK2ZcvocSWjJ08mkU5TrWnMXLCAn913P+ccdyxVo0azbuPbWJZLV1cfixYvYcTICu666/ccf/yXGTP6qwyvzdDUuomG+mH0JnaB0KmqLOPs877MM08t56STTkICrW0X8I0L9+EHt36VH9z1NAYt5IDzz78M9xuX8L3bboP3bsMAbrzsfO7IdTDm4StYc/31LDwANix8F56HI48C+RvvNYu1tvKnnh66u7uJRqP09/ejKApTp04ll8uxZs0aIpEIiUSCqqoqFEUZMBHIpNNMmjiReDyO7TicffbZbFi/Hikl3d3dVFdW8vpzz7EKz/l43syZlIdCjB8xgpb16ykFVF1nzPDhbNm5kwPnzGHW7Fnce/+9VEUqWbdxPRtWb2Tfg+azbtN6GhrqefblZ0j3ZTj/3G/QnZFE/X66u7s582tfY8vKlSQS+btpSXBy9p5D9NPhi28K8Knl3c8FPixM8x9B3mkM8gpMce+Ka3nOY0ZscP3inokP69Ep9LUMqBthr28n1zP02AtEZE8jgA/q7RnY5x5lTZ+ExHzQOsWqTTEZKpyrlfKsiQs21YHSj96XWrBlpuh1yLOCQh9OAcUBn7rpBXn69EEntQKKCc5A6OceJWym6y2zi5ZX5YlObI9SNRhUX/LlZyJYCMP8ACIFXlBoQINgaMi1F3u+9k7us7Nshs/C5ewfTvT+NzxEfMPIOXEcmUNKF031E1BLscmRdDowndQQdQbpoggDIRSyIoVPehParBNHFRpp2Y1AJax5ZMYmR1BGiMlyLOniSotV1jMoig8pbVxpgnQ9ZQYQQkNVAvi1KFm7n6BehRAqtYEpuLjE6aDELcWQHiHPiAw9og2Bgo8gCacDVehkRJwY1QSkgSMs2sVO/CICCpS4Jeymhf5MDVHFh0SjO6ejKzA1mqUunMCv2eyKR1GAlCMIa16QJEBbRhBQvfsGKVtguqApAr8KpT7B35p0wEYVOt994GhmlKY54qw/0dVZwfCGJhxLJ5c1yGYCZHOzSGYD+DSbSSt+RtZRSfdEqbzYwi4bBoAx4SwCP/n5kNctecXVVNW1kuiJ0b5hPLXDW3BsDaFI7IwfRXMRmtdTI1QXxefNA5zUYElXrq0c11IxUwF84TQooNek0MwUbkIh11KBHsogNBe9JIV/ShyZsPH3dGPHQyQTYUoiSbr6YgR9JqmeChRgY9zAp+ARm/xHmV/13p4ODgoKGhrt7qBZkS68cVRC5Wcyrj9JydnnAUKIAHAMnlIzG8+N8WPxTyE0f/yPm7jhhhs49JBDqamu5vnnn2fe3Lm0t3eQSiWZNWsWvb19BENBfD4f5WVl5NQQiazkKycciUy0EpEa3/s/V7H1vS34giW88PTjHHjokcydMYmSYaNY8fxjVFbV0O5akIXpU6dSX1dLNBIil8iCBVbapnFrI+HKEFOmTeHa/1nK6Vedjl7tQ/rh/j/fz4GLD+eRRx5j544XGTlqEbbt+Wxt2fwahhEiGh3FPvMXUl1VRTiSojQWwU5V0J3LUaIoZMJhFh59FHe9+BLTFizAFYLOdJr0tm0k+vr42xNPMHPuXKzGRn72pz+zjSouvvhMnnuukxnTx7B8+R84/LA5SNlJMKwjhETXO6mqnshtt17PyaecTCbTTyrdxiGHTaatYxWRyDAuu/wcHNsGvs7FF3+TXbu3UF3Vyeu3nsYaxvPN/ziVCaPHkOrpptmyiZVE2N3Syknf/z7t7W3Eamspu7ibnr+v4qx3vsqYqtFcc8lSDvorLBgxgl07dvBnYN26dbz++utceOGFPPDAA4wZM4Z9990X0zTZsWMHU6ZM4a233qI0FiOby9HQ4N0p2rJ5M/UNDfT29LDPvHm4rosWi7HfwoWsfvxxqnUdMx7nwWXLcIB5EycSAo45/HBu/vWvSadTbNq+kfZEO6qhMHPODGxsNnVupi856LhGFjqaO3npuef46umno7su1/zgB1xywXmsXb2WYfXDWHz+Yra8uvmzGdxfcIWGvZB3/9V4n11zYRL9UYpNkTojCmrLBzTfCz0MOl4ZmmsNTl6LFZkPU2eKFY/i3gqnyO2s0DcD7ycJA+VuoaFEqyjnxrMKLlZW9jiHT6rWfJAZQv4aDN1+YdLP0BDQ4n3sSbSGLE8OLVWDQcvoArkBhG1B+v1vqPf15hR6dywXtKI3WIHUpOz3zeSLv8dFiT7ourYntA8gUbrihWl+2HkqOp+py9knNwX4Nz5j/PhHt1JqjMJyM7iujar4CGrlBEQJfU4LppvCcXOQ761BKBi6l7mStNrptjYQ8NUQUEs9QpS3d1aFhl+EGenU8a6yDh8BamUJulAp1UfQlXsPx0mjFN6Twmv+F0JH1yJU+MaSdLoY51tIK1tJ2910sQtNMTCdJKZqYgsbBxuBgiHCGCKMIhVyIkkNo8ngqTMWNg3ueLrUThSp0Cl30oZFJaPIYWFJnX5TEtQEKVvSlvUR1ALsSgWoMCxStoIlBd05lXxWJCENKv0O3TkVvyqxXEFQ8xQBW0KpT6MmIEnZni/AjmSA61/ZD1uCvX48o8M2Z+67glc3T2LhuE1IKdA0m/XvzMCVgrRpMO6XuwkE2wlV9aI1nIu7eC6uL4ATqSFYewTh638MQBlQetn3yfaFcVwFx9SQriCXDOILZlANC0V18A/r9q61InEyPlxTx7E0nPxPKxUgsW4E4bFNSFsltbua8PhmhJC4GR3pKGTWxNBCWaSrgCKprGvDNnWMQAZFSNqSJThSMLvMJmVrmI5Ca0YjoILpQJ/loqCQyWcMSekghIorLarliM90bH8RXM6EEPcB84Gn8EK+X5KFRraPwd4V6X5CRCIRlnxpCcFgAF3Xmb/PfNauXUs6k2bs2HHE4wkikQglJSVUlJeTTCYJB3ysX7OSoE/gWlkimkW5nibmF3Q0bWdEQz2tzbt4+M93sfLZ+6mM+Hjx2cdJbttOLN7LmPpqzFQ/pdEIve09mP0mTtbBp/qIRmJYfhMO2cGyR5bx3P3P8e5r7zKjYQY7tjfT0dLJvvsdiabFeOftnVRVTuPkU77F4kVHEwpWsXrVDnRfnDt+/1c2vNvPT391H7uSKslMlkfvuBOjJEpbUxO+UIi+ZJKJo0YR0HWyisLBhx/OUXPnEtI0jtl3ASccMZObb/4do8eUc/31VxMIlDBiRDWhUB9/WvYbWlpXYdtJmppe5owzj0Cwi+uv/y9qayX33PMT7r//N+zY+RQ+PU4wmOHQw+YRCmd57NEnqR0+mcOufI2ampHcvuxPrNy+ne/ceBPjIhHC/f3M6+kmvm4t+u7dpHbt4szp+3PmSWdwz+/uobGlifO/+Q1sYMXatV4jLNDd3c3+++/Po48+CkAymeS+++7j+eefZ9TIkTz99NP4fN4Hsuu6PP300/T19REIBEgmk/T29bF+wwbeePNNKioqcGwbpaqKzS0tdMTjREpL2X/hQuaOHMmwcJD23l6CZWV09Mfp7+jny8d/mUQuSX+2n+OOP54RwxsQumD85HFc+9Ol/Pe3/5vSWAWaorB8+XJWrluHoQtCwTCZXIZEOs5IbSSHf+mIz2ZwF0wBPurf55jQSClfzpedjQZuA07li9Qk/I+Wm6m+wX8w1Hq3oNTkH0srOVBa5BGKognrh5GZQqN9AXkig2shcz1DFSBVH+zZKfxTfKDqiOD/x955h8lV1u3/85w2dWd732Q3vTeSkIQECEFaqKFJExEVu6iAFQUsLyjgq74W8BVFwKDAi4TeAiGEENJ7b9t7n37K8/vjzOxOlk0RAujv4r6uuXbmnDOnz+xzz/29769bspX27KQT1Q4bSJAmMwO9Mun16oHBt5Vx7H2P9LT038z36oH+wbvqOXR9fedYB8Pf/wDXp5N+hIogJ+ORWww5ue4jOxcKiyCU0//QdUTA7z6MAWRCV/obe/pTSopPc0dX2cYhD+HXEYaKMNR+MuPT3D45GQ9RGELkBFMBAK63R+Sk9qXvGD395WZ91/p4lZtBXyjA0R4f47hDoBKx2nEcCyEUtw+NdDBlAtNxB52OTCKEhqK4fWcsJ4bEwbIjCFTiZjsdsR2YVi9Jq9eNc1ZzCTvtvGO/gk+ECMoQraKLFdaLdFsNWHYvimLgSCul+GhoahYeLReBwidD4ylQKmliP6YTRUrHTWBLNqIpXiQOXbTQTStdNAOgSIWkiDFaTqZN1NNq76VO7KZa7ACgwC4kTDshpQSPEsTBISESdMkYvZZFr+ngUwW2hPqoF6/q0JrQSTgKXUmVHN0hqEkStktSek0FR0KOblMVsBgRNBmXnWBMKIFXhSKvRZHXoSMhqY0ImmMS03EH2QcjGj999WQ6Ex6a2wvojgaoaS8kyx/BbyQ4cdZaQvmdGIE40lZg5kjUjmb0ur34tr1BpHPtIddR0Sw8wRihog6kIzD8cTzBKI015TTtH0JPUwFtm0fRtnkUyc4sAJeUOApWUsc2dZJRH2bCoG3DGDp3VOEr7sDu8hOrLkqVuamoviRabgS9tIdocx6x7iAdzQV0deZQ21DGsNw2RuS14VVtcowkpf4YFQG3rNinub9dJIWJikYv7Sgi1QMnNTz3SY+bjncckCY0R3p81IQG+AswQkr5RSnla8dKZuBDUGiWffef/PKXv2T+/NPQNJ2HH3mEE088kbPPOYelS5cipSQWjzFq1EiSpontOERjMVr37OONZa/xmc99AW8wl537qmnoiFOQG2Ll26tYu6cJgyReodHeVEN5aRHf+973efG5p2lWBONGDqG9J0bt/j3ETYdAbiGlxaWIHIHjc3hnx2punPwrXjRfpKahFmuMxbhx47j9x7dRPrSccFeEiy68mnCknUDAJBKJYNsS3YiTkzsSRYxi+oyz6OoKA0E6u0z0wiou++Y3efgPf2DitKlU5OTwuwce4Lzzz6Nuz16SySTr9+9n0cnzeOXNFQCc+rnP8qMLvUSdvYy/YjyyLI+t296ivLyYyy5bRDIZJRKJEIloZGV14/PpXH75aH7133/hiisvxe/LIy+/jMV/e4mGhs3ceuvP2bZ9G+csPInWll7a2tu46qqL8Xov4R//9QVKgJvuvpspwFTAKyEu4PorruS3jz/E52++iat/+nV+++vf4K2Fsi8HGDNmNKZpct6OeuSfJZcX5BGaUsWfHnyADSmHW09PDzt27kRRFLZu3cott9zC3XffzTdvvJEtmzdjS0lLayuxWAyv10t+fj5dXV2seucdQh4Pufn51GzejBfYs2kTBy2Lb914I6quE45GaaqrY2hFBW2trZSXljNpxkSeWfI0E6dNZNKMSWzbu421S9eyd/NeZk2YRbSri33d3XT19jJl8mSWr3yDTTs2M3T8UF55/WUmF005Pjd4gv/0lLP3LO9+lHhP6gy4g/G0MT+NzOhlPYggzMBSNpEqGXO3NQiZGdgTpm/dpruuzKjmgQPfDI9OmvBkemsGkhihGq7vZ+A60uvO7I+TsQ6hGoPsd0Z8dDrkoI8cGYfMT7+37x+ek+zvzwPvVm/S4QKqfijJS09LI5MQJcOAv1/FyYiLJhIB3egrUXtXeRpkqDgZx2k6bkPMQOrfneaSoD5ypOvISDTjdUYgga675XKeQ8+b8B+mdcsReh79SxDiWPvQfIzjiDt/9idyPVX0mA0IoWCoATTFS5ZSRFi2IVBxnDiK0HCcJEIYKEInaBRjOlEcxwIFHGlR4p9Oa3wnhpZFnl5JxGlHFz4MNYgnVZLWJty0zYTV5RrkUVCEBkJBVTz4tDw8ShBdePld29MYSgBF6AiUvrI4TfGRJypQ0fARQkEhIWLEZDcBcum1W9gtuolbPUhsTCeGJjzUKLsJUUiIQkwSlMkRxESUHqUTnFxsvDRaEfI8WXQmFTBAdcCrOnhVm2KvQ1PMoD4q8GnQlQQQJG3JW709jNJzydIFQwM2T7f0MM7rYUe3junAgUQvI7xBui2bqC1wgDxDxauC6Qi2tJQws7wGLe6juSuP8vxW9KwoquE2x3RslfDDCeK9AaJhP4rqMDT2CDL8R9BUyMrCf64H5fTbgH7zhfWLLzJ6WANmd5BkdwBVtxCqgxX10nKwguyCDhTVxk663wWOVBCqjTcrgqJbLvGRwk1NcwTSUtACcawuP05CJxHxYZo6hpGkJxxEU2zCcR+aaqMgURWJ5SjkexLURAwijksENamSEBB3erCcBJriQVO8eKSBjsY70Ye4kFvf9/3txksfZaGPntEsB74nhBgqpbxBCDEKGCOlfPZob/zACc3qNWtIJJMEAn6Kigq5eNHF7Nmzm23btiGlJDc3h6phVSSTSYKBAOFwmHBvmFgsiorNA3/6I+MmTiHuq2DosAiL//4EkZ5ObvncZ9hd3cTK1eu45opL2H+wll/d+UOGVQ0jO2DQUL2fLdt3MWbSCRiGh+FTR9HW28oLq17gwoUXMixWhemYOEnJ1BFTeXvjSja/tYnbf34HsUiMDqeDzs5OvD5Ja8vb6LqgNx5GURQuv/wC9u3dxoo3l3HDDVexYX0Boaxc/LFqXlpTw9e++Q3WbttGTn4B586by7qNmxg7cgSx3l7YD4+/uYIm4JSzzuSVp59h1llncbCph1EVVeR6E1SV1POr397N9dd/meXL3+Siiy5l1TsriMdH4fPm8Nhju/nq1z5Pa2svveE6amq3MHJUKdd86jbiiTBjx1awc+dWVE0yckSQu+56iMLCSXzh1qd5+ZWVtLXFGXW2H0/nQYSi4PR0483L5frrr2f5A0+TTJqc//YZjPrlKJ584knGL5pOXXMTvvr9fGrLp9hXu4/tP9rOxJETkFu2cu3CSbzUqBHv7SXPMMgvKeH+u+/Go6o88+STVJSW0tzRwcixYxk7bhzbtm5l46ZN6KqKsG2SPT00WxYFRUV4geFlZTTv2UP9wYP8/R//oGrSJKZPmsQrS5bwjS9+kQN7D7Bt9TZq6zpJhjdQOrmE0SNGY+438ek+yquGkRsKoSuC/Jwcho4cSm1NLYTglFkn8/b2VVTHDx6fG9ykv5fH4fDRf0EcFu9H3v3I8V56fvQ14Mzs7p4xCE0rMenB/dF+de9TeFJEpi8AwOxTZ2RGCEDf4D/Dt5PGYOpLZslZZpxzOpntEAxcZ2bPnIwmn++anyZUma+d/vNwyDlw+kmPTO2fVAb0ysksudP9hzYTVfX+54c0Q01NC5a4pMYgRW7oL1XzpUq+Ug0+RZfbKE9GjvKLwsASNV1xyYu/3+8icjKOMRDoK4FzX6eT7AYED6Sh6Ief937wccnZR4KwlUq5Ulyykm6MaToxJDaOTOA4SRTFi6a66k3EbMVQA3i0LGKmyXDfKdSbW1CETjzZSpt0COiF5FFKTM3GkhadSisJO4zEQUoLKa1UUppGgWc0PkKMkEPYzGZ67RaCejGOtOiOH2SYbx715hZ0xYctY319bXIIMdwbxJau8tFjQlGZlAAAIABJREFUWTiqQ1R24tNyUFBxsFFQGetMYqtYSykjSYgYHqkTkgW0Kgoe6aFFdOHFS1fSIWzZ+FWV8dmCgzGNpAOqcH/RDxkumbGlRCCoT8ZxhEPEskk6Cu0JgY7G5kQLkzyF6EJQZQTZkmglIeJk2zkE8dAcC1OhZdGR0Eg6Ctu6xxCxoDluMz2vmAn1Q2mJ+TBUm7Mmb8S2NIpGVRM0NQL33In5s6+ihmz2vjQTry9OxVc7cJb+EBQF5bQ7ANC+fR8A4pefxyjuQqgO0lawOoL4u7KIR3wY3kRfvxZVcRBCougWqsdE6K7nRiR0tywtqSNtFT0UQSiSUEkbG1afgOMo2FLBtN2/dlJhc1eIfMNiZHYPMVPrC26sNyNYwi1L1IQHXfNhOQmGMp59YjNj5NTjdm//J5Sc4So064CTUq/rgMeBj5bQLPvuP+kNh/H7fOTk5HDf/fczZfJkzr/gAh5/7DFmz5lDe3sHPr8f27Joa28nFovh8Xrw+rzkeAVfu+nb/OBn9yLZzoULZtDTfJBLP3kVf/nT/ZhonHnGGTy++CFaO7qYPWMu02bM5L777sOnw9Qpk9i1dzcNTa14i0vxF/ipWVPDzvJdBAIB3npnBYs+sYjHn3uc79z6XbSgxu0/vI0f3HYrLzz8PNNOOYFnnnuaWSdJysrKycn2I7F4/fXXeXP5K9x+x104dpRPf3o+ra27CJSXYUTf4c477+Lqr3+P5c37KR4/Hm8igb+omH3NzZQOGcInP30tG9etY/7s2TzV00ORqtArw1jdNQwp8bJp716mBB1GhWIMPXMyTu9ORit78HkiiECQ7317Bgf3PsZrK1r59LU/oiB/G5FIHdu2/Zn8/HIK8ospKLApLIywceNbLLr4BirKK9m/fykVFToLT4qzd98Who0Zw51338ME4PeAtxPCuZCb1Ok9rYc3TlrG5Zdfzr4VW+nt6qWkspQnn/snReWFzF0wl5UrVzJ+6nhKQiUUWoL6ZJLRyRoWnLuAN1p0nnjmGYZlZ9Pe2sqQoiJCus59v/412QUFXLBwIc8//zw5wSDC68Vj22iWhSYErfX16IbBK88+y6c/+1m0IUP431//mtzsbO56/HFGV1RgWhbnnz+PDStWUPNODQfEQU6bfRonnnQ6u/ftIysri5mzZ/O/f/gdY6eNoTfWy8ixI3nkpb9x7Wc+xcgfPnx8bvL/fIXmL8BVUsojRD/9e+Gw6syxItMDM8g0GW06lBxkbksPDt5rZKAqYycPDQHoU4AC/YrNUX7NzyQnYhDy1Tfc/VdKnd5VJqW/mxhmkpiB+5gRRS1SROYQsqQarlKT3paTRB5OmcrchzQcsz9G2siIjM706qT746Q8OMKXIj4Z/ptB1RvIUHB00DK2O0CBwWP0T9N1d5t958DTdw76kAoDEOKIPS7/NXxcUvah4s6f/Ykcz1B6zSaEUPCqbrKWI22iTieWkyBp9aZCArL6eoPYMomUDjGzDQCfXkCduQnHsXBkAlJxzqYTY3fiNUr909wQOxQMxY8tEyTpxtDdJCvbSeAjhI7BHqUaH9moik42BeyMPYfPKCMuIpTrk7CEhSY1ekUPfruYBCaaOHTQakgDS/hJyigChfHOJBRAFQrj5XQSmHTKFg4quwHwiiCmkiRCFwnCtDiFTFZGku9RaEtA0oH6mEm7DDPKyCHHEKgCNsXbyZJuiekQJRcpJTm6gqpArpHFwahOr+kwNKCS6xEUOEV0JiURSxKzbQpEAF0RbLJq8Ugvo5VCcv2SOQUJ4rbKgd4gLXGVoQGTA7VDGDXsIK++vIAxpXXkXPdzih78LQCjsj+LLC8DxQOGCsl3/3/Y9cocdM1i1DM3ANB4xa+oayhj4vRNhFvzcKTAtjTQLKyIHyMQw4l68BVFEaqDLRwUj/sdIy0FO+ZB0S3iPUF64j5MR8F0VPb2BjEdgZTubyntSY2utlykdL1JO+NdWMJG4hAVvSDdiHBFqGhSZSIzsHG47bb3r8649/J/RCjACCnlJ4UQVwJIKWPiGLsBf6CEZsuWLTz73HNcdeWVmKbJzBkzCIfDdHV2MnvOHLo6uxgxYjhJ0yQej2PZNrFoDL/fR0FhIVdffTWNddVcc/FCNK+fxl1ruWTRRWiKQOCwYO6JjB0zmnFjx7Bp225efe01dqx9nc9ecTW2ovDU4oc54cS5rGju4WIdlix9lS8t+hLxvDjdkR5yErkUFBWw6MpFrN2wlsbmBm745hdoa2pl+PgRRLujnLNgIdWtT/HPJ/+LT3/6J5imzZQpJZw871oaG97k/vt/xw1f+DTNLV0sXvwEMJIvffl2mpvrWbt2C6VlQ1izZi3NQpBbWMiQqireWb2arsZGWqNR5i44nSf//GeWNTbyjc9/jgceeYSi/HwC5WW0trZR4PWSF/CTMAzMhgbaOzoYM3UqB7Zu5bfXLaKm5s/sDBQRyvYxZEgxTz/zMAsWXI6qaHR0tBOJrGPSRIdkcg/NLRvo2rqeEdkL8RsGd999D0Fg/MJzWPr8C8z//CUM9/lZ//DD5HrhUxuu5YXnXuCaU6/m15N/Q3FpMdMmTmXLP7ayoWIDWlDDUBQONB5gtHSYNtxPIlHFVq2S1956HIBXtm5l0QyDt945QAdw3pln4pgmy597jobGRqadcgodzc1kA2oigYxGMSyLgKYRcxzqmpv525Il+FWVSy+6iMbmZjxS4gEKS0roEQLdMdAtixdeepny4cPJCYWYOnkyO7ZuJTs3xN7aveyt20fpmFImTppAhaw4fjd5jKM70Y6BKggh/gycB7RIKScOmHczcDdQKKVsS037HvDZ1Nq/LqV8KTV9OvAg4AOeB26UUh7pK+w9y7v/dngvfpq0QT9NbjKabB5SbpVJBNLbSYcKZCLtmYF+8396vQON++n1Zm7zcBhIBgb2vclE+lj6SNBRmj0OnD9QQRlsmqK/m4gcZv8FuOcq7QEaqARlIrMUzYxmkAdPfz8d23S9OelYbX+qRC0W6VNX0uECgxEbYeiuYpNJYrQB+z5YPPXAEIaBOF7lZuCqM+JDsbh+jAyke8VowoMtTTThQRUKcbuHpN0DOCnvjIZARREKjrCwHTcNTQiFmNmBoWWRsNvI8lQihEpAyafXbmKIfzYJGcbBxpIJuhM1rjKDQtLqRhEGVd7Z1CY3UOgZTVNsE3neUUSsduJqD0FPJX41H68MoKKRb+fTrrRTZVeQwMIRbqebqbk2q9vdbvRDZAmKLMWU6XACBRVBVFqsd14jWytHEx6QbsyzJRIknTCGEqRADCXbziEuHDZHIhho5KgedqTIT6vdRH53MQkRxxRJepQufNIPdg4BodNtOowKCSKWYHjAS6nPoTXullnZ0k0/86mCPZEkHlQCmmCOOhQhoMeEqkCSprgHW0LSdj8Pq9p0tnUPIblrCA5wWtzLKcZ22j57J4GiDrxTNJTTf3LE6zz+hev7nu9c+ADbGsazrj2bpKVxysqLabjyv2nrzCErGCEruxsr7qGnPYc8QNUtPEWuOiwUiXQEOAqJ9hDhzhAHw1lYjoIlIWIpfQTCdASNMemefwHdpns9bPoTV+N2D141hEBBILBxeCv2Fz5xHMrN4D8jthlIpsrgJYAQYgTuT8dHxQdGaF785t/RVBUhBJZlsfjRRxk/bhyBYJD29nYkUFhYQGdXF16Ph1g8TjwWI5SdTSwao66unpqaasKRCGctPI9nn3mW1o5uvvS1G/nh7T/hC9d9mb89eD9ZAR8r3l5FQWkVeUEPWVlZ1O7fw8QpJ/Cdm79FUvg46bRz6E1KLpp3DkrIh5qloigNXHDRBfzpH39iwdkLGDliBFOmTWbj6k30xHrIK8vj5X++xOlXV9LVGQem4vfPRNO38z+/+QWuG3wMMJE/3r+NGTNn4/HG+cx119DcfIBYzMPQyhMxzV4mzTyLUF4AqcToBZ55+RVOn38qDz/zDPXtHfhDWQwfMY5X3l6PpfjpbmlhwtixdMVjNNXVku3xEO7pobmunkB2Nm9t3cr4yZNZv34dB2rrKCwrxVAUPIWF5MfaaG1ZS0VuLsWeAF2GROmq48CePWT7/ejjxtIpHZ554v9oEzB9+AjW7thBsqyUlZu38ODu3Zw/cwYbNY3/fugBHL+fW/50L1fdM5TxwRza9Xb2r29g+L5h6I6O4zi017VTVlnGzr07EbbgqZfdL7uRI0cypKSEEyZaJJxVoED1mjWYnZ3kjBzJD66/nvaODsZWVLBm61Ysn48KKemqribqBSzYsGoVdiRCSXk5jz74IKGcHFTTJKBpNFRX097djVdROG3WLJ55+WUSu3cjhGDclVfy0htvMLyymHA0DBpUjC6nvq6e1RuOY9/IY8kCOzaF5kHgt8BDmROFEEOAM3D7RaSnjQeuACYAZcCrQojRKZXlD8ANwCpcQnM28MIRtvue5d2PAlKudUnEeyk3S8MeoLhkEABphhHBIe/u+TIYMslMpr8GBvXg9JWIKYbbYd4MD050BqojR+p1k4lMH8/xwGDrOdy6MwlPpuozwLcjBhKBgUEHh6hhfgaFqgPB/pjoZNh9nm4CmvbfxCIIzXBT1DIbfR4Nun4oocksJ1P1d+/XB1FuBh8Tmg8Rd9zxUwoC0+lNNqIqRp8hO2q1I4SC7SRTnhnX2yJQMO0IQig40r2vPHquSwyApBPBoxcQszoQqKCD5bhjMpGyeFsygap4sB0nVcLmlrgdjK9CU300RjcghEZXogaJjSLcxp4CBUUqmCSpV2swpA8Th0a1iQq7HNORbOhQ2WO1MlorRKaOZaNdiwcv1dYGTDuCV8vBkRY9VhOa4u63I02idtg9ZmnSLVqpd7bjVUMpL4+HvTLcV7omcdjv1GPJBKYdQRE6muKjSyvBED50x8OuLoOAE8CLQUfCw4Qch3yPhekI6qI6cRuyVZ2QrtIStyj1ucPSXlPyTL1CI+2M1QvZajWS47geIT2h4Fc0fKrK6vYAy9+ciSLcMrgir8P59z3K9O9swAnlgKajzrrlsNd+R0MFCpLJub2oivvPuuzRb1IGdH/1NoIj6wnvHkLB0EbMmAfH1GhdPZGWjnymL1yG0G2EkUSLGZimTtJWUFJ6giokCq5HKGxBxJIIJBJosSN9Zv+IEqbLqkVTPHiE24hVkce/5PQ/JLb5NtwS+CFCiL/h9tO67lje+IERGlVVufuee7h40cXs2+fmant9PmbNmkVzUxNFRUV0dHTg9Xp55dVXmTplKolEkocffphzzj6b3bt3M2PmTOKxOFs2rMfr0ckvyOcnt/+QCxddTaTblXdr9u/mBzd9lSVPP0sHcUaUD2PcpPE4qkI8Hkf1+0AIPF4fjz3zCudcsRDD8DDkjKHQBGeffTaoUJhTxLMvPMtp8+ezs3oXJ06bSV1dHROqTmfSpEVEIu00NDaw5MnNfPErT7HkqUc45ZQTWLd+NVVVVYwbO4QRI8ppbunBNA0iEYHjeIjHTTTNC6i8sWw1Y8eN4/SzFgEWTb316N58EnEDVfUgRBCfX8PjKSFBgOZIL/5AAMXvp7m6hkWXX8b/PPQw8+bM5q9P/B+VI4ZTWVlJBLAVhWR3N2NHjsSIRnhh2TIUw8AxdHY/+xwJyoA2rrjyU7z4yiou+/zn0Lw+Xn7+eRZecjWdzdU88fAj9Co5PL0vTii7nOFTp/DOxk3Yusb9B1q4HwOwmAB0j1rJta1nEAwGqc2eTMfeZ4mUzWfLli0MKbC56b+n8dyvO0mEw6xnB6efs4BtB0u5+Ioo4d4wNY3DcGIx3nrqKdqAT111FR11dWzcuBETWDjhBD5x8Sd46qmnSKxp4/zp01na3ExzQwOFxcV4FIXW+noMXUcHVq1ZQ2VJCTg2ppVEVWyGlRSRU5SDqSYhBHNmnUT10INMv+Pp43ejJzg6YTkGQiOlXC6EqBpk1n8D3+bQbt4XAn+XUiaAA0KIvcCJQoiDuI0x3wYQQjwEXMSRCc17lnc/EgxspPle+s5kEoVMNaPPFJ+pTAwgF4cr0RoIPYjQQcY7+l9nek0GelOOFPl7tF/+3y+BSZv3j8d79eCh0zPnZ+5nmjCmAwwAzHC/LyczTnuAh6cvjc1JuipOulcOuNsyUspNX0y03t8HJx0R7TEO7Y2T2fBz4PENQKaXCUX/YMrN+Fih+TBhaCWEzWbXkA9IHJJ2hITZhqr4cKSFIjQ3WUw6mE6kz/Pi9p9Rsew4UnHwabkoQkcVOlGrnVJ9AkEZokk/gCY1upxOEnaP689xYgihYegBLDvmlqiBm5aWuv6ONJlunMvaxBJ0xU/EbKXUMwlFuqQDfDQqTYxyKnGEpMu0saUkW2ax1FyOLRPoih9FaJhOrI942NJEV3x9qVqWk8CRJo600ISPqNlGXOnCo4ZSSpWOKt1lkzJKxGolaXYiMUE6qGo2DiZqqoloxG4jpJUSlT20Ky7p8Toh6tuqmBQIEbclcduh2YxjYdNmCxwktdEYPUonfpmFhkZSJNlgVdPmVFMvTQw1iJQOsziRiG3T0WvTJrqZ6i3C0CBuC5bWVPLAdSMo8jp8Zvo6Kn7wK7Tp3wBg1SmPMXv55Ww960EUxWFChc3oZz/Ppk88TCzZ/3l/ceaznL3G9d40n/e/5Je0kj22mo7NI/AFYgzLPki8KY/m/UMpHlGNt7iT/NIWFsR87G9zQ0N29oSI26BIgaG4hEsgaDcT+DCwcXCk+/CpbsmhLjzkO26DzSTWcSs3A9fnZB+xYMNVcT5KSClfEUKsB2bjCvw3pitTjoYPjNDs2b2HGdOns3HjBsrLK5gwfjzScVAUhaLiYtrb2ujq7qajvZ358+ezY/sOysrKuPSSS1m9+h2qqoaxZMkSLrroInp6euhob2PO7DlMHT8Gkxit7R3MnjaRzs5OfnH7LVxxzWcYO7KSYG4hSUALBLFUPzEHeqMRpEfn4ksuptPXyQP/+BOj941h3rx5vP3aKuacPodf//xX9MZ7OXn2yXR2d7Jn9x5mnzCLRx56hBknz+TlJS9x6Scv45s3fhNTRikpHcLadbsoLR3L6FHD2X9gG5FIBIji9xtoWg7hcCdr1+zg3PMuQlGSzDt5EYGASmdnI8lkHI+3mETcRtUC5OXlkZ2dz+zZs3nttYdQFAcHhUAwSENTE8VVlTy25Gmq29vJra7mS1/6EiMK8qnds4dkKEROOMy4ZJI/7NtHy4aNzPr8TbQ176YnEqQ7XkxhkcK2rRr/fPQBvnrzTdx3z72MGTOa5uZm7rnnZwC8ffllGKEQtxzwM23qeew/sIGLJnydXWM+S/byn9PSkkdDwx9I5E6ieOUS5hZmM+PHj3PSnDmsfLsBaMBvGJSEQvzl5s2UFRcjbRt74zQea6shlBfma39bTXFVFQsm+2hPJBhyzjmM7O3l1cWLueiaa2grLKSutZW3162nq7sbtaQUOT2LtnicaKSXyqoqrjrvPOobG3n+5Zfp6O1lRHk5e2tr8eOOAS6+fBHSlrR0tZBdGUL1qEycOoHnXniO0Vmjju+Nfiz9OSUIIW7AVU7S+KOU8o9HepsQ4gKgXkq5aQDHKMdVYNKoS00zU88HTj8S3rO8+5FgYIlS3/Rj/PV9oHow8HUahyMRg23nXQ0Wk32qijhab5L3U6b0rxKZY1ES0qVd0K+2DFbuNrCsLVOZOtIxpwMS9OChJXtmGDy5iBQBEgNITKa61QdlQNlYOpAgM20tGU15cUzQE/Q1+kxHSNuJfn9OusHo4Xr4ZKa1Hc5bdDzxMaH50ODXC0jYPX2vTSdGwmxDCJ10Rko6TtlyIn3Ex5FWiuRYqKof0+5FCAXLjqOrAXTFRw8txEQPtjSpNTdgOwkUoWPKCKAgpYVlOyhCx5HmIeEAxd4JCBT2yW0EPeVuiIB0kNh48NNDC2OcsURI0kOcoPCQcGzqlWZ6RQcegqi4DUHjdjdxq7tPRVGEgppSlCTuOm0n2ac4qanPmiY8eIX7mdbQkDjE7R4sO4LExKuXYNppgmdgyQS2bbnleNLGIoEtTRxpoygqjWoto+zxbEo0c3VxATURP3/teoZYsgZNzUdXA8SSbkGC31OFKnRytCF0xbYecs2eZ0P/9fNU0ZUcTk+sie7YdnJ8E8lRy/l2bgXLd43n2umn8etRbzGzpAHbUVk7/1G2t1ZyQkU1UnHYc/4f0TQdYRqsPPlxTEtDoPHizGepC2cxp1KjqzWft9ZPY0xpPUOn7qRh6yh82WE03aSroQi9NY/XN03ltaYQlQGbcn+crqSCR4GoLWhPSBKOREqHHmIoKCSFiSmSdNCILc2UOmOREHF0qbM+tpiFx6nczL1fj05oPioIIU4YMKkx9XdoqiR+/dHW8YEQmt9f8DOWPL2EU089lXg8zpsr3uTiRYsoKCigvb2d9vZ2PIaHwsJCpCPJz8tjw8YN6LpOfn4+J82dS2dHJ3PnzmXr1q3k5+Xj9XiwbYvXly1jaGUVuq7T2dTInJPmMW/Oiai6QnZuHhhBtEA+puJj+75aQoVDyM0rpC1ic/9993P51y9n5uQTqT54kHvW3c3Xv/R1fBV+vnXjt/jrow/xP/f+Bvxw9g/OpqG7no5dHYSmhli04GL27dmHJS327t9LOBxn5JjJlFcU0tDYQHV1O6ecfAKbNr/D888tZfacs8nOHspll0+np6cVwzAIBnWkjKGq2SQSJuHebry+fEpKJgI7gTBLly7B6y0mHreZe9J8tqx6lbGz59C+fx8NtTUsmDKZr518Cu3NTYzt7qakvZtSxU99dTtzz3q5/yL8+N5DrklNxvN7U/PWs/uQZeb8+PG+56/xP4de1FNu4vZzz+W559cgpeTh/3qQn7bfADfrLFo0hJw/vs3ON4eT5/Wyb/t2cgoLUedvoe7JcgJSkuzq4qQFCzAUhYRp8s5bbxFrbydvxAiGDh3KRd/9LuuWLsUsLWXkqFHMLitDz85m36ZNGELw9vLldGdlIw8e5KlXX+WaK66gQ0radu3El+3jjLMX8Pa6lQRzgzz76nOcf/55jJk2BkUT7Ni3k5PHzCPSUsecR148Dnd4BuIcvhd3Gg6kyMsRCUwmhBB+4AfAmYPNHmSaPML0I+E9y7sfNqS1EqxjKAVLYzAvyEBfyPspXRu4nlTzS8B9numhSWMwX8u/sg//Cok5EoFJ73NmmdphggCOr/Lwbki5tp8EpQlOet9TrwcSnL73ZqpjmX100pHS3lyXnJipOOg0aQF3vqK75WqZ90J62kAo6T487yYvH8g5+pjQfCi482d/6jP4SxwcxyJhNgIKAhUpcJtopq6HrmalPDPJVOpZ2hyeQFECmHYEXQ240bvCg1dkYco4cbsHKR1UxdP3Hle+V1JlbbE+IqOrARxpEXO6MYSfpB1GCDckotQ7kaCTjSMcvCKLMAlqlb0EyGWvbAIBSTtMllqCITxYMkGv2dSnzKiKgSo0NMXbpzp1xffjyITrC1IMFKH1KTdpZcYRDg4O3ck68oxhmFoOSTuM6cRwvUUKuup+/1lOjGyjAosEAgWfkk1deBnpFtiLWcZtt91KAigGvs21x3ClTjr6IgBcDLhlhF9ODXHuDfayKXzBIUtppz8CQDzhIRiIMuHFz/D3ya9iS8HIvDZMR8V2YHh2F8mkgaG712xXYzmb6yoZkt1JTUsxvQkP5dmddESCeFWLjoRDrqFwoCVAkVdSH3X/LTckY1R6fZgO5JoB4tLCKw3iUieh5NIha0mKKLr04pFeTGEeV3UG3MHAv7GH5t4jzJPAgqOt4AMhNKVlZZxz9tns2r2b4iK3QVwwKwvTNJFS4jEMhBA0Njbi9/lY/uab5ObmMn78OGpqali7bi2lpaUUFRZx8rx5dHR2Ulpawv4DB/jKl7/MkiVLqG1s4KQ5c9CEQ1bAi+oLgMdDzBEkk0l6TIeCggIONDSSM7SAJx99kKsuuxJvVhbWXotLLriUmBNFC+j8/Gd3gQm333sHt990G7OmzaaxrgElqPC5L32OvFA+TS1NfGLyJ3hr1Vs07KnnpFPmYvgMaqqbCIZ0RoyYwJ//spg5c05m3slXYBgGkyaOxevtYv/+GI7Tw8iRI1j+5itMnToR2x6OMz3B/fc/wHnnXcGaNQfo7o5w7rkXYlvNvLH8Dbbv2MyC4SPoqT7IpJISLrngAhRFwamtwdq/H3X2bOaMXfxBXMJBcftzz/W/+P51lH/lK+zetYv7VtRQXnEplUPbWLNsGXduuZR7Jz1B3W/g5m9exmv//Cf1hsHK9euJSYnu89EUjXLC0KF4bRtPayu/uesuJk6diqrrdCST/HPrVso/20b1A2104koGE4cNY/ipp3Jw1Sre3LSJmn37aKhvYLR3BJ3dMTzCQ64nl6uvugqv7kWqW9xeDn54c8UKxk4ee9zPiXBsxFFkGue9fUWMAIYBaXWmAlgvhDgRV3kZkrFsBdCQml4xyPTD4v3Iux85jtZ7ZuD0zEF85uD1vZIaPXhoOVW6x03f9ozB1Yz0vv0r5GTgsseitgw8tsx1ZA7+B1EXPmgSc6RtSbm2X8nxFfcTmLTq4vSrQoMy+MxyvnQD01Q5B9AfI913/PqRy9vMSB8JOjQW+zh5lQaDECA+Tjn7MCCES1zS3dnjZiNC9H++BApS0NcfxnZifZ4XR7rf/VImQOjIVH2xmuoV4xFBbGkSszuxZeIQz40LJfV+p698LeQppyO2mzzfaAA6zWq8ag6ONPFpOXhlgJiI4pN+uu16ekULHoLYwiQo8mkzD+BRg6hCx5IJwnYLph2BlArjhhnoKEIjYfcQt7r69kZV/UjpuMoTDmqKEEVEJzpebGGSZwxzz0lKuQrpZYSFG3VdqI90jweb6vCr7zrXx3uAfiQM3JamfBqfMZQh+hRanANUiUloUmVV5AxWnvw4W6a9iJQ6I/Pa2NNeiOko2FJgS4HRk81Jw/aeAaauAAAgAElEQVQytqwOx1HY0VDB3o4Cuk0dy1HY0pnDDw7M4alpL1LiU9jZY6MJweZoN0O1bJqtKA5uqllEiRBXIhTaJSSES/g6nFrUlBpYLof1xTgfb7gpZ/+eCo2U8rT3u47jTmiWfPmv/P73v+fEE09k5syZmEmTSy+5BCEEXV3dbNu2lXnz5tHa2srBgwepqqyipLiYMz7h+iXy8vOZPGkyPp+XktJS9u/bT3VNNZVDK8nOzmbp0qU4jsPUqVNRVZVQdjZ+v5e4dGsTY7EYu7buxJs/lKqRY/nr3//MN75azCUXX8Sdf7qfr3//RgJGgKUvLmX4xGEs/v1iKsoqOOX0U3jw53/hikVXkleQiwTMRJKGtkZyJuWyZ8seHlr8V0aNHs05p5xD1IqR7ElSmlfCqrXvMGxsFVOmnI5haJx66jRWrlzO9h2b8XhMgsEAGrBl6148nny2batGURQ6OzuBHDZs2E5ZWYg9e/bw6KN/wOPJ5tQxQcKdTRwkwbXjJ9DV1Miujg68Hg/XnvRS6mxvPfyF+BDwmd/9DoCfXHghqqrS2tbGTTfdxEs3b6Ub+NYXv8ju5csxHhqBPGUpCz/1Kd7evZu2ri4KKyvZsnMnVy5aRE9nJ7dedx07d+7kYH09B2tr0YEDt8CsOXNQW1sp8HoJahpde/ZQVVHBlvXr6Wpro7KiggVz57Jx40aCRhbjR03gdw/9ju9+/zvMX3Aay5YvY+LUCZz1xbN55eGXj3g87wUGJupRGtHE3gOhkVJuAfq696X8MTOklG1CiKeBxUKIX+KGAowCVkspbSFErxBiNvAOcC0MlNr61ve+5d0PE8eszhyJoAwkM/8qMgmR6kkpMBkqUNp/k54/0JcyWNPNIw2KM+e9V+P5uxLMDl9W92GSmCMhvR9SZnT+dpKuVyXlV3Gjr9MExzzEx5RJcgb95On0x3IPLDPMIEKSlF8mrR4NFj19tJLC94N/Yyvb/y+4+65H8Gl5Ltmgn2xIaaIqQWSf8pBWZdwSM1X1owgdaUdS0rhKmpz4tDyCahEJGcYiQcIJY6W8MVI6ruqDjRBKKqJXT6WmKYT0MlqjW1JNNiFsNmPZMXqsbnK9IwmIXJrsPSTsHgRuWIGiaHiVEA4OtjQp0IcRkz1YMkHU6SRh9Wb4fXQSVgdx6eA3itwkN8WHVDxIGcCRZp93RxEaqtD6yutsafb1sMkijyyRh6km6ZINVGgTiYvIoETmwyQxR0J6P+6446cA7PeajBYzyQ/8HDWlRpUzmg1bPklk9hLqekMcCPswJUQtga4Mx6Pa6IrNqGL332U84aEn7iecNPjekHfY05NDhxXHQeIRKvkiSK9tERFxDKnTobYTcnJocvbQRQOWnSBXH0Ii2YOmeNAVPwKBSRJfqvnq8cSxlJwdy2hlsFRWIUQe8A+gCjgIXC6l7EzNGzSVdcA6vy2l/EXq+WVSyscz5v2XlPL7R92vIye6vmuDR134LGZx6qmnUlRYiKbrPProo1y8aBG1tbWEsrMpLysjOyeHrq4uYtEoyWQSj8fD/gMHCGWFeH3Z63zy8svx+/385cEHOfOMMzFNk/aOdgL+APF4jIqKCqSE8vIyfD4fkVicxvZePFn5/PLBJXzl89excccBho+ZgCdUiK1nkdCy2VxdS0N7A7Nmz+LJF/+PvJJ8Ojs7ySvNQ2iCU087BX+enx6lhyefeZKpc6eh+3Usx+JAzQG2rtjCrff+kI6udmoaa5kxYwZLly1l/tmn8urbSxE6BAIqQiTQdcFzzz7B7Xd8jdranUTCdTQ21ZGfn8+oUT5+ftev+PqNP2DZshVs3rQPsDCMKF+7fj4vvvgi93zqGh599FFGVFRQkZ/PZ6c8eczX6aPALy6/nOXLlzNhwgR2795Nb28vQ3Jz0U2TkpISqnJzeeeVV9gDfOs73+HFV1+lvraWsmSShWecwd49e/AFg+w7cICc/HxUw2DKxIkU5ebywksvYSSTXHzZZax+/XWWr1qFCUwZM4aAYeA1DKxYjFhvDzY22YXZ6Nka9e0NDK0cgpqnUja0DHSY+aP3H94lpRs/IoS4N8Az39KZd8Tle5mPJTcecXQihHgUmA8UAM3AbVLKBzLmHyRFaFKvfwBcj+vi+YaU8oXU9Bn0xza/AHxtsNhmIcTrRz5EeVR593jhWL5X3kVoMsnCsRCUTL9GZmrY4RLEBnt/evA8EIc0kswIFRhIaA5HqI6kpBypmeO7ph0mLS1zIP5vSmIOh0NIzWBIKzlwaOpcovPoKz/WNLn0vDQyywY9eQAI7VjLYQ6P9PcKwIzJFXLNs1896nuUyu+tk1L+e1/EjwhlZWXyhhtuOOIyv/z5PzBSxMV0ooQT1YBLaAytOFUCpvSlnqXLsJJ2D6riYYQ2i53xV5HSwmeU9BGCMm0CnbIBS7pGe8tJYDtuiVpm3+JS3xSa49tTYQAK4IYOGFo2Pi2XnkQdlt2F3zMEKR0sJ4ZXyyGSaMCRcTQ1B5+eh6EE8SnZqGh4pA8Li5r4avx6QSoIoBfbiaCp2X1qEOCSmZSqZDtu6pqu+PCoIRRULJmggrGERQ8xekjIMFGrHb+WT5ZSiC7d76e9kYzqDf59SMzhkCY1h0PIO4ZKZTIA5+cVErYEMRvmFfXiV11VzkFgOgphU6c1YdBrKvSYgp29cXSh0kw3AAkRpz1lbXWkhSPdMkVd8WM6UWzp+o0MxVXzhjO5L/3s3G9Xva/j/OMf/0hDQ0N6vHLHNM/CHxVpR17n27HH6bZbjjZeOQUIAw9lEJpfAB1SyruEEN8FcqWU30mlsj4KnEgqlRVIp7JmrnO9lPKEgc8He304HFeF5tmvPYLjONTX1RGLxXj2iSf40he/SFdXF8OGDSOZTBIKheju7sY0TcLhCD6fl4MHD7Ju3TpuuukmLMtiyJAhqKmmYpVVlezatYu21laKxheRn5+PoigUFhUhFIWODrcxpy4kOQEP3/nKdVjozD/1ZBJSxzayae2O8c+nn2TcCXMoChax4o0VjC0fx5wz53D7929j7qy5ZJeFaGpqomF7I8InqCyuojivGF+WlxdfegmP4eGcixeS6E7w5OInmTbrBFauWMmp807ljdeWk52djS/bx/gp41mz7mW8Xo2rrrqe3btq6O7pwrZtqqrGkpPTxiN3fZtrr/0qL7+0mDPOOI2zJyr8YszfWPjIKDY+8QRXnXkm5+jpD9y+43mJPjB8+7HHAHi2qYmvnHgiv6utha6UlF1Xx6wfAXPgWxsvYMfSpXg6OqhtaaEW6N22jWg0yoWzZ7NixQp+OHcu27ZuZev+/dR1dxPy+cgpKuLVZcsYWlTEj26/ndVvvomaSBD0GETiEd5et53RY0YSsSPYqoVtWZSWl7BxxyaUkMI5Fy5k8yubjvtxq9ioR200c/QfDaSUVx5lftWA1z8DfjbIcmuBiQOnD7Lc+5Z3Pyz0RTWn8a8kcg0kCwMHrcdq5h6MzKTXnVZn0iQjne4Fhycqmcjsa3Mk9PldDtPPZhCjuhAzDiEF/+4EZiAy91fKte8uT7NW9hOTFLnAioC/pH+hzOABGPxcQb//KRODBUYMxAcRCAAfe2g+YNxxx0/x6GV41FAquSyGQHfLx1K+Fk3x9UUap8dfitDxqiHCZjMqGkJoZHuriJitKEJDV/y0OdUoqZLBNJlx1+HgyGSfJ6c1uftdfho3yjlJ1GrHkUl8RjlJqxdN9eE4SSLJJoTQEFIADrrixxB+vDJAUIaIiSimSFDoHUvE7q8eVpUAthNPkTMFLeXT8ahZAIStbldpUkBFRxde/CKXzeF/MCS4ACHdErqO5Ca+873rDiEF/+4EZiAy9/eOO376rv3/4W1ueFCe/7/4beoUThZz2R5WUdFRgELDgwIsrAiTLwXr2g3qrV4SIklcRFPx3Art1KWCHJyUnyhI1OnEliZBtQhFqJgyjoKKKeJEiGBIgy3Rxzn3OAYCQKroUB45dvVYRI7DpLJeiPujLMBfgWXAdzhMKivw9oD3i8M8H+z1oDiuhGb9+vVkh7JJJBJYtsXNN9/M/n370XUNRVUZPmIEsViM7q5uItEIXo+Xnt5exo8fT0XFEJKJBDNmziCRSNDe3s41V19NS3MzlZWVjBg+nN7eMEII/H4fPq/7XtM0CaoqhQV5OEKg4aAYBnHTQegqtQ1NvPDWNi694mpuu/12zj73QtasXs0tX78F4nDzrTdzzz33UFZZxvwz55MTyKGlp4XCkkIef+gxvnXLTVxz5TXcfudtlOWVsW/nPkZWjmL8yPHsb93PmvVrGFo+FN2vYaom23duo7SkiqyQgWNHyclpZtv2OiqH5vG333+Zbi7mE5Mm0lWzhRK7md//z0+xfwzXvrOQh2Y9D8BSPjxfzAeB361+d5+Xd37s/t09pRpfMMiMCRMoDIXoamoi1N1NfjDI0vvuI5idza2PPUYgEODaadN4ffduJo8cyb7mZoaXlNBumqzbvBnN60UCisdDeV4Opy88jaRMklOUQ6gwm554N8++/Bxnnn8GL29+haVLX+WcP6x61369X2hYGEcpORP/Dq2qBuB4yLsfGgZGNWfiaOpMen6f2fw9Dj4H287AxpqZywxsuJmef4iPJd2wcYAKczRvxsDSp8MQtDSZ+U8jMYfDYMeRVkb6SJud7C9LS2NgAMK/4l860nIpAvrBnN+PY5s/aGR5R+FTc10/SFoZ0XNJJJsIeV0viKa4YQECBaEortrhxIimiMJu6y10NYDlxPFqOX0NOdVULLLpRLGcWJ8qI1NJaemSMjeeWUNXs5DSjXx2pI0iVHoSNUiZQFd8JK1ubCeBrmWl4p2TqfvDTRJTFR1dGsRElCwnixAhdspVOOmBtNAI6MUknbCrEjiuypBOMpO4qlCJMQEbE0smqAsv6ztXteHX+p7fdtutg5KA/1QMdhw/uWMPAD3xXYB7r2xldR9JdaTN8ORkQvi4rbqZQruIIlUnIZKERQ9dsgHLiaMrbqqiJjwYwn2uoGCoPhwcNxEunaKXKufzST9REf5Azq+NxDrKeETy3lJZgWIpZSOAlLJRCJEumT9cKutgmx7s+WCvB8VxIzR/verXLF68mLPOOovi4iIWP/ooJSUlVFcfZN68efSGwyQTCerr6okn4uTn5+P1epGOQywep6qqEtM0/197Zx4nV1nm++97ljq1dXf13ukknZCEACGAECAoYBBcAiMGUBxlxAUx4jI4LhG43ns188EZZ9CZOwgiot65biiiDsRhGVAZggJBIgRIIISEJJ21t6rq2s8573v/ONWVTqdXujrr+82nP1116lTVqVPJyfmd53l+P6SU+L5PJBqlc3snlmWR6e8nFo8jhCCRqMOyLHp6ezENg4bGRnq6u6mpS1AoFFjz3FreetG76M3m6VFRZrU1suGl5/m1X+LMRWfy2wce4Mr3XMwt/3wLN9x4A3958TnOPf08Tn/z6dz20LdZ8YkVdPgd9GS6EbWC22+9jZb6Vi5Y+DZ2b91NPBbnrHPOoi/VS8f0mSSTKYrFAtNmtJEL5QkXwoTCG6mr9fnWt/6JeLybyy+/mO+0fam8p37N4A7T6d87gx2srYiZo53/9XxQJfnxsmXUtLbS1d9Pbz6PKJW45uKL+emDD3I68FQ2y8ubNtEai1HrODy5YQOtzc2U+vrYs3cvfjYb2DSXStSEQki3xKz5s6AI21/dRqaUYcGcBbhZFyyI105Nr7uNO6agMQ5DQUMQzPnP5ds3EYRpDrAUOCwETWVAfIA3mpdSDYY7uR0sRobbtuHmaQba1yYqZIYRMSOdTA+c4B8tYmYshp27GYoVC6o3Q/f7ofw7NRKCSluQpvqsXHkzNeHjERh4qkhJZgiZMfJuN8KIIISJY8T3tZph4uNiCQePYhC+KQxsI4op7EqgJlAe/Pfw1b7KjBAGUpZQSIyySILy8L3M0xY+hRPlPJ6Sf6DDOJXN3jMYwiHqtJBzu4mF2ij6/Xh+FilLSJVjTmwpO0rPU5IZ8sJmuuogJ/JsVM+gkHiyWJ7LSOAMqv76qggG1Jht9Pu7qbOmUyvr8UyPVzJB3FlwMn1gEX+gKnO0iJmxGDp3M5jNEZgtTiHp7+A4ZpLySziEgFpsESJn9ZOTfTgiXpnRUUhc5QbBmZj7xHR5/ili1FGkgBxnGvdEUUohx1eBmZAr6xiM1331NCFEurx+pHx74PnhYdY/gKoJmqamJj71qU+xadMmtm7dxvLly9mwfgMdHbOwQyGcUIidO4NBqhnTp+P7Pls2b8FxHFrbWkml0wghyGWzWLZNNpNl2rQ2Qo6DYRh0bt/O7Nmz2bp1K4lEAkMI6uvrsUMhZsycyUsvvsTsE05m4cknEQqF+OkPf8XJc2dw3NsvYcW1V7IlbfLEC+upVSkopAj5Rbp27ia5I8nSy95FijTXLv0ED/zmQTre2kHPth7Obl7Mq6+/ymXvvYyHHnqIF15axxVXXsErW1+GkOD5l9bR3NpMe8c0Nu/Zwq9WXcenPvUtlHqVp9dsYvnyq7i16Vruun7diPttx/LDavb6oHH1fffxqw9+kD3btlEqFCjlcmzavp23nn028+fP501rn8XMZXHq63n6d7/j3HnziG3axIadO8kAbzvvPGzXJQoUM/2E6xNYjkUylcS3fKywxd7uLvau38sn/u5aNjyxYUo+x5FaoaEK5d2DxkSsmqeC/bJqnH3Vl2LfvlazoRWZwQ5oA78HC5vBeS9jYccPaJUbS6gcK0JmKENb7IBgv42YK1Su6MghVcDDQeRoQTOlRM3GyrC+KRxybjdSlnDsRhwjTlQE+S0QXJGvuJXJUqW1LGzUHvC6BpRnZ8qzKmrAxczCKBsBKOUF9siAZdVhK4fV3gN4fp5XxR+J2k0sNM9mjfsAvp+iaDiD3Md8QlYru9yXsIwIc8wzSBt9PFd8FFHOlrGNCFIEJ8kDM0ImQdinIUymM58Xsr9kdvxdvJ7ZN589llA5VoTMUAaqUoNJ5l/kubIx018Gz+8rOEktoku8znTmkxQ9ANjKIUsftghj4xBVQaufROKosm24DNrSpJgaQRP43I3RcvbGz1f2CCGmlasz04C95eUjubLu/75KTdrWsWqC5tZbb2XJkiVYlsWCkxewa+cudu3ayaJFZ9CfTtOfyQCKpuYment62Lp1K9OmTaMukSDsOIQjEUzTJBaL0d3dTWtrCwhBNpsl2Zdkzty5PP/c8zQ2NmJZFvF4HNM0SSWTFItF6hJ1SCWYMa2F3nSaLyy/il3dSV7YspffP/4kZy5+C7s3rMMjzLzZ02lvbeaHv/p/XHbhZeSKeTZt3cTM42dSH6/nwdse4MYbbyLcEObcJefyx9V/5JKrLuGC85fw3bu+y7T2abzlwjdz2rIQa/7USXv7HlrDcM01y7lj2psBeP+L3+TWpmurtXuPSt579937L9izB4BfGwYq5JApFAhFJecsPpNUKk3GgAYLzlt4Euv//ATnvOkclCOhxuHZ9WthAyBh2qxp1DTGaWtrpaapht1rd1MsTs0JioGsygzNIWDS5d2Dgj+6WDyo7JdT4uy/fKhYGYmhQma4eZjhBMyg1qpjVayMl1GrVkODQAeqXkMzbIbmBA1bfZui2RmgWi1nE3UjOlaIOXMBKnMNrszjyzyWWYNCYuFUMlR85eJRJOf14Mk8MOAAZmNil+/va0Uqqkx5mUHJD7JdzPIxQUoPReA4FrWbyZb2YBsReuRWpPRoDp9YaT16XWxmhnE6W+WfkMplevgMtuX+hGXW4Fg1mCLIs3mp8BCmEUZgErObERjMV6fyovgTpojgl40K9mbXMD92KRuzq+gl6JT4yBfPAs46qlrIpoqR9s/KlTdXQj8TkYUoJBvFOgQGu8RmXD+PUj5t5nxi1GOrUGXo31AGNsFxxMDAUjYCgTX5c/thkcgxBc0kuB/4CPCN8u/7Bi0/wJV1KjagKoJm9Vfu59ln11IqlVBScdddd3HWmWfyzne+s5I3c8KJJ7Jr1y7WrVtHV1cXp516Kq2trTQ0NqKkxPM88oUCdXV11NbUoJSit7cX27apS9Tx0osv0djYyPTp7SgglU5jmibNTU2Ypkl/JkOiPs7utAe+5P4/72J2a5y7f/ojLnzHJaz93S8RGPzDiuX0l+DjH/soeWlTbIEnH32Ki5ZeyC/vvpeL3n0h9XX1bN++HbnHp+nNzSxYvIC9z+6lp9DDR//nR0kVU2zo+gNt+TpmzSvhyxAbX32NR8//QmWf3LPwSyPvMM2oXPFU0G657n3vo7OzE9f3OeX0RTy19nGOO2k2IiI44+zTyascwhB0p7tZdN4ZRBuirP7zE9TOqUGGJIkTEnh4zDpzFqu+O3l3s+E4glvOJl3enWomZQZQTQYLmcEuZgPbNLSlbGg72XDVmMEnz4Pvm0N+s/8JuhYzb5z92tIGV2yGiuahQsUI7aviDGaqzAAGqE4Ozb8DtwE/GrTsRuB3g9yIbiQY3j0mWLnyZhKRhfgE/44Lfpqi14sQFpYZrgxwg4lCkpU9FP00UnqVYMqo1UhY1FQGvwesmAfa0gBKMlPOt9mX2eKXBZFlxih4SeKhaQBc33w+v+jZSUiF6DfSdObXMCd8HltLz2KZMRyzhi53Ex3Rt5D0d+AYcdLuToQwiNgtSOXimLW0ijm0ygae42kMYTPNOB6XUsWFbGN2VWU/DD5B12LmjTO4LW1A2AA0xRYBQSYRwmaPDAyelPLxB/KL8Gm05+z3egPzSpdW2RAAwBdyzIyb8VRoBruyCiE6CQK6vwHcI4T4OEGW+5UASqmXhBD3AOsJXFk/M9ThrFpURdAkUymi0SgbN77CggULeO8V78WyLVzXpS+Z5P5Vq2DVKk468USmz5jBuW95C9FYDCUloXLIZi6fJxaL4Xle4F7W04PjOLzy8ss0NjaSzWY5e/HZSN8nl89TV1uLLyWu62IYBql0P//600f4q8v/Gr/pVJ55+CaWrLiBMAUee+S3fPm6D0GsmT29fUQTraQzWUId0/jWN2+Gfrjoogs56/KzyCSzlPIlLMtiV1cXhceLmO8waTi/HpVT9DidbNr+Mo7TQCYr+c+z/6Yau1AzDKfee2/l9i9LeURRkM3m6GjtoP3Edl7e8DKxmhiEQUlFT3cvZy06E2UpEi0JUvkUtU21CF+w/Jrl/P191WoJ3ceR2nJWjfLulDOaGcDBZKD/fKQMm6FCa0DMVJ43TBVGloLHRzgp1sJl6hjqnDaquBnMlFZkhiKqkkMzQTeiY4KYMxfHiOOpIoawKLjBgL9ZdjMTwiDt7SZuNVOQaTwZrCcMA8twiJqNhEUcWznYhLCURVEUyIugNdZTRQp+GqUklhlcG5LKwxROZQi/2Z7HHH82fSLLBXUN/Larj4iIElEhwn6YncJha+lZwlaiYu3bas0HRSUwM2HPpKgy+MolbDSjkPSwgw3531Q+a4r1+312LVymjqHOad3ZZyv3E5GFlZwjv9w2OEB3aRO+LFUswqcSxdhB3+M5WxnFlfWiEdYf1pW12kxa0Nx+6de57bbbuOTiSzAti63btrFo0SI8z+Pun/+c915xBZ+7/np6+/poa2vDNAws28b3fQzTxJcSIQShUIh8Pk86lSKTydDXF1j+1jc0EIlEOeGEE+jp7qahsZFEXR2+lGT6+4nX1OC5LkbjXJzwOn79m/vY2/djrvzrD/EPt/wr9aT50o3/i227e8kmX6dn5ql845Y7+ewXrudfv/xV3vGOS7BCNn17+2iY28DTTz7NgpNOIt9c4Pi/mgemINYSpa+/j2ltbdzW1jLGHtFMBVc+v+/Kx3/Mm84La1/AwKAYDXqV+3qS1LbU0NfdByFwYg7hcJje7l5eN14nnjh0pgCHo6A53DmgOjMcUy12hmstG2CoiBlcuRk1LHP4eQ4tYA4NI4qbQ93qKBhvhaZJCDF4aGgybkRHPStX3kxj9PSgVUxAUe47xvgyT9iqI2Y2YQmHksoRNmrxRLFyohkiii0cTGVjYmGpIBDTxMLAwKVAqfya9qCMl4GqjWXEaRVzmCmbcUwD5Ud5IVWizajBVYrnjedIuzuRykXKEssbL+fR/p34eGx3n8c2IhjCpuAniYbm41IgZjQSUbH9qi8DaAFzaBgqbgYqN7XhEzCEgSn2/d0AwAwqNwMzXVOFxMcfs0X+yGXSgmb6jOl87Wtf49577+XkBQuYMXMmOzo7MU2LxWcvJpvNghC0trQgAF9KitksIdvGMM1KhaVYKLC3qwvf80il0vh+sNNnzehAGEZgLOD75ba2QGM2NDaydetWbv2/9/I/PvsRPn7ZeXzvjtv46qe/zJ3f+RZf+8wKpOEgfZcd+TANzbNpKBk00kvq1ee55B0X0tBcSyzRjN8s6d65m+PPnUfrnDY2+htxDAffkfxz+xSmQWsmzGWP/aVy+753nsHs1tk8vXYN/T39xOpjNLY3UOgrMGvuLJoamtj0wiau/PaLo7ziG2d8FZop61k9ejnUJ5RD3ckGbg9tLxucNzNS2OXg3xMY7NccXA4QN6PhD7hXTdV3KMYraLp1sOb4qQkfT0gEoqSkchjCRCkP04wSLc+fxEjgUsTApKgygY0yJraIYAuHsIoRkzGkUFjKLM8lGBTI4MngAptlOFjCQQiDENHKjM0s/zikkmw3uuhVu+iXuznOXMTr3nM02/Mo+hk8P89C550APJbey8bC75GqiGM34akiFtAaOhGAWlqwlDViK5nm0DNU3IxGIrKQHFP3HfpIPOGNuo4aO+f6sGXSguaOO+7gk5/8JG1tbZy8cCGmaVITj2NaFqZpUiqVKOTzFEslzLIwCYVC2JZFqVTC9336+/vJZjIU8gUKhQJtba2sX7+eRKKezh07eNOb3oRhGNSUZ2t838eybZ5Y/QSP/u5R/n7FClY/vprF5y3h2s98kYxERDwAABVhSURBVP9z+3e46YabSLkmG/tr+PtvryJBkn/733/Lvb+9j0987Gr6si7R2XNRYfAjgu49XTSd00Qyl2S7v42w4/AvpyeqsY81U8iy/1oLrOVnF5yAZ3ngQCqbwpQma9Y+Q3NbEyV/6q7kjydY8/CyDDtCGOo6BfvEw3Ahl1V//yGvP1xb2dB8kwGGtiYNqchoIXP4M6YN9FTPzwQbMVWvPJIb0VFPgzULURYqBiaGMGmOnoKBSdbvptk8jqLIU1I5XJXHleWARGFiYGIqm5iMYWISVTYuHgJBURQoyDSuzJVdzIIWtYqzGAamstlmbqXDn4WjwsxW85HG8fSJXlw/S8bq5nTezKJWhyf6Mqwp3IMQNiiJacTosE8HgsFuFJW5mAG0kDn8Gc0GGthvBmcqkOU/o3MMC5pIJELYcejo6CCbyeD7PtlcDtMwaJ8+na6uLoCKyHEcB+n7uK6LaZrk8nly2SxKKVy3hG3bKKV4ZeNGLlu2jIbGRiA4KfQ8j2wuh2EYOEpx8skLOOecxVi2zUXvXIoSBnk3y+c//3le63eodxSNqpurT1G8+e1Xk87mWHz2mfTYHUQTDnVtCda9vI45F8/BzZVAQm1NDd+7YsZkd4vmIHPVY6+M8Egnj339bcBIj0+OI3WGRjMKY9kpD56N2e95WsgcbYz2nY1ZxZncO1fLFGA4RnIjOurJqzS1NJPHx8SuiBWpfBRyPzHjyQIQOKFJ5VeuTEmhiCgLo7zAFR5ZkhT9NJ6fxxB2pZ1ICBNX5LGEQyPTick4WRG8bk7kKYkSBZHlVPvt7BE7ecV4mSe7tgTD/qE2fFniBPt8FJISQY6NFjJHPqN9Z2NVcSaDFD7+WBWaKXv3qWdSguaRL95DLpdj9RNPcOGFF5JKJsnn85imSbZYpL29nVAohOMEV1Y916VULGJaFp7nUSwUcMJhnHCYdDpNOt1PfX2Cp9es4a3nn4/jOFiWRSQSoVQq4TgOfckktm2TTqXYsWMnMztmYhgGynTwjRDR2gQYIeoKvVhWA43NLSxZejmvpUPcfuf3+eJNK6k1HV6UrzKt1mXW22bxzffXVGVnag5PLvjKH6bstcc3Q6NbziaCUn8OMl5GotrVmfHkwdjDtJ3K0qgiRguYo5sp/36rUKGZiBvR0c7KlTczI34BadVVMQQAKmdwcbMFvxx6KAeZMBnCroRnOiqMoQQCgYuHi0daJMnJPnxZhPKxXilJ2Kwrz9fYhEQUV5VAgKksZNkuOif68ZXL68YGQiqKJRyanfmEVJAjE5PBceeF3L7cYy1gjm6m8vuVZSe+0ZhEDs0hZ3KC5tFH6Zg5kyVLlpBOp8nlyx7thkE8Hifd318RM0opfCmDqkw2i+f7RCMRPM+rPO6EHbq6u4lGIth2iPbp09m9axfFQgHP8whHIjiOQz6fJ5vJYBiC13t97r/nBwBc9aGPUvQN0tkCLe2z6E6mSYoIdrSWhjqLqz59I1/9R91GpqkeJj72GAcIXaGZIAdjfmY8VRjpDm/XC/sLGTOkxYumuojqVGgm6kZ0NFMbPgFXFfYTM/ssmsEVBUzscoClW8moMcuCxlYOhjJwsDEQ+EDWyJJmLyU/g1ISx2rAFBaGsJH4mOW8kbxK4eNykbWYZ7wtgYGAKAaBl8IGFWTZeKqIKWxKIk9n5rHKye3lU2Dhqzn2ULrlbHi+es7neOqpp0jUJdi9ezfRaJTamhoKxSKxWAzbtnFdF891kUpBWdAYhkEkHMZWCqkUnudRKpUoFoq4rotlWby2eTMzZ3ZQLBRwPY9kKkVdXR07duzgt6tW8cnrruMHPwhEzOc+9zmu+dBfI4Cd3XuI1dSyK+Wx1+ujpqGFfr+Grt15Nm/byX89trRa+02jAbTLWbVR6s+jC5rJZNGMJWIOCL209xczQ0TMAFrMaKaEKbZwPZZYufJmasLH46p8EDRJYJFrChtfucxSJ/E6L6GQ+IPEjGWEsYRDSESJyChxFaPOCFOQHllRoJ9eGmgnSxeWGUGq4OKWrzx8VcQQNgmznV3ZZ1CqyC94DoEgHGrHMWtxjDhFmUEqFyFMUvl9Nsu6EqOpNkd7heYNHzFty+aDH/gASiki4TDRSARhGPi+T7FYJJcNPNnXvfACSkoef/xxouUKC0A4HMY0DDzPwzAMXNdlxvTphOwQKMXMjpn86ckniUYiRMJhVq1aRbIvSTaX4+UNGwD47Gc/S7Kvj0R9A3asHjNSh18/D6dhBjh1ZKWD7+ZxC1ktZjRTgoGsGAOM9KNNASaAXxq+IvJGMex9P4Mxnf3zYuz4vnWGpscboX2ZMWZIixnNwUEYY/9oxoVjt+PJIp4soJQfiBmCKoqvXFzh4smgeuPKQPQEoiQQPxYOJhYRbKRSzIqEmSESzJPzyZAMrnxLj6LbQ760G8twcGWevNvLzsLzmEaEabG3AJKW2JnU2u04Rpw92adI5l8kXXhFixnNlBOYNnuj/hyTFZpTTzsV0zCYO28enuchfZ9CsUh9IkFPby+mYfCTn/yEJUsuQAFXvv/9SCkpFgqB81mhAEqRz+UIhUI0NzfR15fkkUcf4fLLLqOrq4tzzz2XnTt24Hke559/PjU1NSx7z3uIxeN8+MMf5tWNr9Lc3IRbKmJbYdpam0mm0qB8wtEafAH/cOdpVdxdGs3+6BmaKWCiMzLjmYGBfQJmaBVm2Ncc3cVKCxnN1CK0YKkihrCosdvKBstm5Uq1UsGx2VbBcUAMusYbsRKEiBKllqiMk1BxWkMOYTM4ontKkSHP3sJ6pAr+DzCMEGCQc7sQmBiGhS99pPKwhMOM+JKKAcFwaCGjmUqO9grNGxI0d17+DW6//XZWrFjBnt27yRcKhB0Hu2zHbBoGrW1tfPKTn0QBhUKBrq4uRHnI0bZt3GKRfD5PIpFg165d/Md993Hpu9/N5//u74jX1PDqxo10dXVRW1dHNpslIgT5fJ76+nra29tJplLUn1RPJBzG8zwy4enIgo/tQW08zA9/8lPW9vxLNfeVRnMA2uWseoy73Wy8AmaA4YTMcAwnYnQIpuaQoQVNNVi58mZqwycEjmaAiY2FE7SXCZdT1BkU8ZgvziIv8mTsFHmVDmZghI0jwzgqhC0MwqbANCDnKp4Tz5H1e7DNGK4vAQNDBMcYw7AwhIXnF2gPBxdVB4wADAGdmdUHbKcWM5qpJpgP08Ga+zGzowMAIQTxmhqs8ryMWyrhui6RSIRUKgWAlMGViJp4HDsUIpfNBgP9polhmtzx3e/y7r96N1/84hf59a9+xbNr13Lcccdx6imn4DgOhWIR6ft4ShGPxwmHw/QlkxSLRUK2TcGI0pPPUcj2gB3BduIs/+Y5Vdo9Gs3ojKdCY2hBM36q1W42IGJgfAJoDMtl0EJGcxARAowps20+5ijJbMV1LKjSBJjY2MJEKvCQZckTXMlWSgauZOXTJAPBU8XOir3zfLmQ1+3N7M6/gCgbAVhGBIWPL0v4qkR7+DTUoJyy7ZnfH7BtWshoDhYKD6krNPvTtXcv1113HX29vTjhMGHHIRaLVbJllFL0p9NY5fBMx3EolUr09/fz4EMP0dnZyZdXrOCRRx7hhhtu4IH//E/WPLMGAOn7nHbaadTW1OB5HolwGJFIkMvng4ybbJaQ4xAOh0lnC2T7OvFFiGTOY8Uvr6nqztFoxmJghkZTBd6ou9lwFZjhAi+HoisymsMZ3XJWFcKhGcSsZoDKsP9A6xmAKQSmEgTJMgYCExObBWohvq94Tj0BQMiI00A7Ekmb305K9JOXKQxhYxgWISMGwDRzYeW9POXhC5+tmUcP2C4tZDQHGx8fX42eQ4M6xgRNor6e3t5eWltaQAiEYeCWSli2jfR9iqUSsViMfKHAtLY2FJDLZrnr+9/n85//PL7v093TQ0tLK08//TS1tXWkUik8z+PtS5fS1NjI+vUbaGpuolgsUldbSzQapbenh+aWFvbs2UMul6O7qxsjXMMXfntDlXeLRjM+xtdypmdopoTRWskmOhujhYzmsEKgW86qg1KSkswQMeuxcA543GDfVWkDg5M5jpKSvGi8hI9LmDpMbHxc+uklQQsuHkmjh4KbxjLDzDXP2meHq0CK4N7m7IMHvJ8WMppDhpKoMVvOjiFBc+fl/0TYcXAch9q6ukpGTDQapVAo4EtJS0sLAP/2ta9x1Qc/yOzZszFMk2s+9jHy+Txde7vYu3cvjY0NOI7Dn578E+FwmKuvvhqpFMVSCcu2MITAtqwgULOvD9d12bJlC/lcjmgsxpcenbpEVY1mPFSr5UwI8UPg3cBepdTC8rJbgEuBEvAa8DGlVLL82E3AxwEfuF4p9XB5+SLg34EI8ADwOaUO/0suY87PwIG2yhNhnNUY0EJGc5hQhRyaY52VK28mEurAVy4mNoYwK4P/A+1lL/AqcaMOH4+iyNPDHhwRKVdrDGwRRiqfiKitZNEkjT6KKsNcc9+xYkB+Dg7BHIwWMppDjVRjV2gO+5OFUZiwoJk7by633HILn7v++iD7ZedOEIJ58+aRTCbp6+ujc3sn2WyW91x6KYlEAs/32b1rF3PmzKG7p4cNL29g2bJlbH7tNfqSSc468yzCYQfDNHELBTKFArW1tTQ0NlIsFslms9i2zeXf/dgU7AKN5o1TRVOAfwduA340aNkjwE1KKU8I8U/ATcANQogFwAeAk4F24FEhxHwVXHq5A1gOPEUgaJYCB14mPFwZ7HA2EfFihIL5mzHcyXQlRnNEIAQYukJTDYQwSFgzsYWDRNIoW/d73MejJEpkSFKUGeJGI0URWDdPU8eRIU1UxVFKYiubOBFcFScm4kAgjJ7L3X3A+2oBoznckMqvZCWNzJEraSYsaKLRKF9esYJMNksymaS5uZnXXtvMpldfxXVd+pJJ8rk8lm3R2tZKV1cXXV3dNLc007ljB67rctppp7F92zZqamp44cUXueiii6iJx+nq6sLzfRobGkimUvT29LDsjo9OwcfWaKpDtYI1lVKPCyFmD1n2X4PuPgW8r3x7GfBzpVQR2CKE2AScLYR4HahVSj0JIIT4EXAZR5KgmaiIGe3+AFrEaI5ItKCpBkrJIBhTRTGUgUsJKYL2sIE2saxI0e/tJmo24qgIURXHUAIpFFEVCBeBgYONjyQrCsNWYrSI0RzOKLwxBc0xZQqQ7OsjmUyiAM91KZVKCAHFYpF169bxtre9DakUSinq6+tBKSzbZuMrGwlHwtTU1AQ2zNEoe3bvZtmyZTz2h8dYvPhsIpEI3d3drF37F274wz9OwcfVaKpKKUdmVFOAEm45rGrSXAP8onx7OoHAGaCzvMwt3x66/MhgLIez8VZf/JJuJ9Mc+WhTgKpQY7eRU32UyBEWcaSQ+AQtaAARFaVBtlJvNFOihKPCSGTFNGBdLjjsvjXycR7P/2DY99BCRnMkoJSqZC+NstLB2ZgpYMKCxi8HaLY0N/OHxx7j/PPOY8eOnZimyfz5J9DT00NDQwO1dXUoKUmlUqT7+xFCIAiETywapa2tjbvuugvfl5xwwnw83+fS266ego+o0UwZt/+eNTeeTAdhhj+BfojVnM+pCCGWE7SCDfA9pdT3xvMmQoivAB7w04FFw6ymRll++DN4fmYs4TLACKJl6HItYjRHHjpYsxo4djuSINiyUUwPLi4pkFiYWBgYWCr47eIRUqGKgBnKUDGjRYzmSEOp4N/CGGsdlG2ZCiYsaFavXs2cOXPYtm0b84+fT2dnJ6ZpkslkaGpqIhaPEwqFSCaT1NfXk8vnicfjNDU2smv3brZs2cJXHr+l8noPP/B0VT+QRnOwUEp1/o14J/ezmvdz0QGPv8YOdtPLf/OcUR7MH5eAGYwQ4iMEZgEXDRru7wRmDlptBrCzvHzGMMsPf0YSJxNYTwsXzVGFNgWYNEV3JyfZS7CUiVQSKRQSiSuCCyiGMjCxhp2BGUALF83RgsQH3XIWMC3WwruWLqW7q4tCoYBlWfT2ltjw8su894orKBSLGELQn8mQz+dxXZd8Ls/VP/nbqdp+jeaQ8jMeMU7mOPkyWzmRWZXlRUr8hv+mk65Zb9RlTAixFLgBWKKUyg166H7gZ0KIfyEwBTgeWKOU8oUQ/UKIc4CngQ8D336DH+2gsWjRSaOvoNvHNMccukIzWXbt2gWY2Moqp8sYQTs8ipCy+XP+J8M+TwsYzdGLLP8cnUxI0MRiMQzDoK8vyZpn1nDJxRdT31DPOYsXk0ylUFLS3d3D9OntXHGnDrnUHP0opZQQor2P/p2zaCNSzjlYxR85j9O4Wz2ybTyvI4S4G7gAaBJCdAJfJXA1c4BHhBAATymlrlNKvSSEuAdYT9CK9hm1z1z+U+yzbX6QI8UQYHDLma7CaI51BFrQVIEzIlfh4wMmz+R/POJ6WsRojgWU8pFjzvQeIxWaTXu3sGXLFgAWLlxILp/n+OOP5/e//z2zOjooFotce++XpmRDNZrDFaXUrg+LpdzHaj7A29nINnpJ8wTrjJEbGQ54jQ8Os3j4CdRg/a8DXx9m+Z+BheN828OCZ5/dMGbLmRYymmMLXaGZLNOmTWPtrp+Nuo4WMppjCiWhCoKm3D3yb4AJfF8p9Y3Jb9zkmZCgOa6xg1/84hd8+tOfxvc8rvjex6dquzSaI4of87BxKnPlWjbyKM+wk+4ZR0Kg5eHA0JYzLV40GvQMzSQZaDkbQIsXzbGOQjK8d9D4EUKYwO3AOwjmdp8RQtyvlFo/+S2cHBMSNNL3eZinefg7epBfoxlMufWsdTM79yzjfH6iHt5xqLfpSEKLGI1mMAKdQzN5tIjRaCq44KEm73J2NrBJKbUZQAjxc4JsvEMuaMRELiILIbqArVO3ORrNYc8spVTzSA8KISzA19WZ8aOPKxrN/scVIcRDQNM4ntetlFo6dZt15KKPKxrNvuOKECIGnDiO5/QBb2eEmAkhxPuApUqpa8v3rwYWK6U+W9UtfwNMqEIz2omcRqMBNfblD80Q9HFFo9kfLVImjz6uaDT7UEplgWfHufr3GDlm4rDNu9M1bY1Go9FoNBqNRjMWI+XgHXK0oNFoNBqNRqPRaDRj8QxwvBDiOCFECPgAQTbeIWdCLWcajUaj0Wg0Go3m2EMp5QkhPgs8TGAj+EOl1EuHeLOACZoCaDQajUaj0Wg0Gs3hhG4502g0Go1Go9FoNEcsWtBoNBqNRqPRaDSaIxYtaDQajUaj0Wg0Gs0RixY0Go1Go9FoNBqN5ohFCxqNRqPRaDQajUZzxKIFjUaj0Wg0Go1Gozli0YJGo9FoNBqNRqPRHLH8f2VYPMqSALsbAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig,ax = plt.subplots(2,3,figsize=(12,5))\n", - "axa = ax.ravel()\n", - "cmap_count = 'YlOrRd'\n", - "cmap_nmad = 'inferno'\n", - "clim_dem = (1200,2200)\n", - "pltlib.iv(iolib.ds_getma(poster_ds_list[0]),ds=poster_ds_list[0],ax=axa[3],scalebar=False,hillshade=True,label='Elevation (m WGS84)',clim=clim_dem,skinny=False)\n", - "pltlib.iv(iolib.ds_getma(poster_ds_list[1]),ax=axa[4],scalebar=False,label='DEM Count',cmap=cmap_count,skinny=False)\n", - "pltlib.iv(iolib.ds_getma(poster_ds_list[2]),ax=axa[5],scalebar=False,label='Elevation NMAD (m)',cmap=cmap_nmad,skinny=False)\n", - "pltlib.iv(iolib.ds_getma(poster_ds_list[3]),ds=poster_ds_list[3],ax=axa[0],scalebar=True,hillshade=True,label='Elevation (m WGS84)',clim=clim_dem,skinny=False)\n", - "pltlib.iv(iolib.ds_getma(poster_ds_list[4]),ax=axa[1],scalebar=False,label='DEM Count',cmap=cmap_count,skinny=False)\n", - "pltlib.iv(iolib.ds_getma(poster_ds_list[5]),ax=axa[2],scalebar=False,label='Elevation NMAD (m)',cmap=cmap_nmad,skinny=False)\n", - "axa[1].text(0.1,0.9,'B',\n", - " color='white', fontsize=15,transform=axa[1].transAxes)\n", - "axa[2].text(0.1,0.9,'C',\n", - " color='white', fontsize=15,transform=axa[2].transAxes)\n", - "axa[0].text(0.1,0.9,'A',\n", - " color='white', fontsize=15,transform=axa[0].transAxes)\n", - "axa[4].text(0.1,0.9,'E',\n", - " color='white', fontsize=15,transform=axa[4].transAxes)\n", - "axa[5].text(0.1,0.9,'F',\n", - " color='white', fontsize=15,transform=axa[5].transAxes)\n", - "axa[3].text(0.1,0.9,'D',\n", - " color='white', fontsize=15,transform=axa[3].transAxes)\n", - "#axa[1].set_ylabel('4/20/19 (Snow-on)')\n", - "#axa[3].set_ylabel('10/1/19 (Snow-off)')\n", - " \n", - "plt.tight_layout()\n", - "outfig = os.path.join(master_fig_dir,'SF2_r.jpg')\n", - "plt.savefig(outfig,dpi=universal_fig_opt['dpi'],bbox_inches=universal_fig_opt['bbox_inches'],pad_inches=universal_fig_opt['pad_inches'])\n", - "rpc_snow_on_nmad = iolib.ds_getma(poster_ds_list[5])\n", - "rpc_snow_off_nmad = iolib.ds_getma(poster_ds_list[2])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Video Accuracy " - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "def set_box_color(bp, color):\n", - " plt.setp(bp['boxes'], color=color)\n", - " plt.setp(bp['whiskers'], color=color)\n", - " plt.setp(bp['caps'], color=color)\n", - " plt.setp(bp['medians'], color=color)" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.0" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "rpc_snow_on_nmad.min()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "fall_corrected_skysat = '/nobackup/sbhusha1/skysat_video/paper_analysis/20191001_fall_filtered_correction_direc_updated_crater_trim_nmad5_count2-trans_reference-DEM.tif'\n", - "fall_ref = '/nobackup/sbhusha1/skysat_video/paper_analysis/mos_8m_all_toamask-tile-0_non_glacierized.tif'" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Warping all inputs to the following:\n", - "Resolution: 2.0\n", - "Extent: [560009.0, 5114451.0, 564299.0, 5117731.0]\n", - "Projection: '+proj=utm +zone=10 +datum=WGS84 +units=m +no_defs '\n", - "Resampling alg: cubic\n", - "\n", - "1 of 2: /nobackupp2/sbhusha1/skysat_video/paper_analysis/last_minute/fall_aligned2m_huge_dh_removed/run-trans_source-DEM.tif\n", - "2 of 2: /nobackupp2/sbhusha1/skysat_video/paper_analysis/last_minute/reference2m_dems/2012_2015_aligned_dem_med_mos_non_glac_shpclip.tif\n", - "nl: 1640 ns: 2145 res: 2.000\n" - ] - } - ], - "source": [ - "# fall_stats\n", - "#fall_ds_list = warplib.memwarp_multi_fn([fall_corrected_skysat,fall_ref])\n", - "#fall_diff = iolib.ds_getma(fall_ds_list[1]) - iolib.ds_getma(fall_ds_list[0])\n", - "fall_ref2_non_glac = '/nobackupp2/sbhusha1/skysat_video/paper_analysis/last_minute/reference2m_dems/2012_2015_aligned_dem_med_mos_non_glac_shpclip.tif'\n", - "fall_skysat2 = '/nobackupp2/sbhusha1/skysat_video/paper_analysis/last_minute/fall_aligned2m_huge_dh_removed/run-trans_source-DEM.tif'\n", - "fall_ds_list2 = warplib.memwarp_multi_fn([fall_skysat2,fall_ref2_non_glac])\n", - "fall_diff2 = iolib.ds_getma(fall_ds_list2[1]) - iolib.ds_getma(fall_ds_list2[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": {}, - "outputs": [], - "source": [ - "# peak stats\n", - "#peak_ref = '/nobackup/sbhusha1/skysat_video/paper_analysis/20190428_dg_mgm_peak_non_glacierized_registered_dx_0.11_dy_0.4_dz_0.95.tif'\n", - "peak_ref = '/nobackup/sbhusha1/skysat_video/paper_analysis/20190428_dg_mgm_peak_registered_dx_1.5_dy_-0.19_dz_0.74_aligned22m_ref.tif'\n", - "peak_corrected_skysat = '/nobackupp2/sbhusha1/skysat_video/paper_analysis/last_minute/full_dem_coreg_corrected_for2m_alignment//run-trans_source-DEM.tif'" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Warping all inputs to the following:\n", - "Resolution: 2.0\n", - "Extent: [560837.0, 5114995.0, 564143.0, 5117341.0]\n", - "Projection: '+proj=utm +zone=10 +datum=WGS84 +units=m +no_defs '\n", - "Resampling alg: cubic\n", - "\n", - "1 of 2: /nobackupp2/sbhusha1/skysat_video/paper_analysis/last_minute/full_dem_coreg_corrected_for2m_alignment//run-trans_source-DEM.tif\n", - "2 of 2: /nobackup/sbhusha1/skysat_video/paper_analysis/20190428_dg_mgm_peak_registered_dx_1.5_dy_-0.19_dz_0.74_aligned22m_ref.tif\n", - "nl: 1173 ns: 1653 res: 2.000\n" - ] - } - ], - "source": [ - "peak_ds_list = warplib.memwarp_multi_fn([peak_corrected_skysat,peak_ref])\n", - "peak_diff = iolib.ds_getma(peak_ds_list[1]) - iolib.ds_getma(peak_ds_list[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline" - ] - }, - { - "cell_type": "code", - "execution_count": 72, + "execution_count": 13, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(-18.68018035888672, 392.2837875366211)\n", - "(-18.68018035888672, 392.2837875366211)\n" - ] - }, { "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "rpc_stats = [np.ma.compressed(rpc_snow_on_nmad),np.ma.compressed(rpc_snow_off_nmad)]\n", - "frame_stats = [np.ma.compressed(snow_on_nmad),np.ma.compressed(snow_off_nmad)]\n", - "ticks = [f'Snow-on\\n{np.round(frame_stats[0].size*2*2*1e-6,2)}km$^2$',\n", - " f'Snow-off\\n{np.round(frame_stats[1].size*2*2*1e-6,2)}km$^2$']\n", - "ticks_inset = [f'Snow-on',\n", - " f'Snow-off']\n", - "# ,gridspec_kw={'width_ratios': [2.5,1.5]}\n", - "f,ax = plt.subplots(1,3,figsize=(12,6))\n", - "box_pre = ax[0].boxplot(rpc_stats, positions=np.array(range(len(rpc_stats)))*2.0-0.4, sym='', widths=0.6)\n", - "#ax2 = ax[0].twinx() # instantiate a second axes that shares the same x-axis\n", - "\n", - "#ax[0].set_ylim(,390)\n", - "box_post = ax[0].boxplot(frame_stats, positions=np.array(range(len(frame_stats)))*2.0+0.4, sym='', widths=0.6)\n", - "set_box_color(box_pre, '#D7191C') # colors are from http://colorbrewer2.org/\n", - "set_box_color(box_post, '#2C7BB6')\n", - "\n", - "# draw temporary red and blue lines and use them to create a legend\n", - "ax[0].plot([], c='#D7191C', label='L1A RPC Camera Models')\n", - "ax[0].plot([], c='#2C7BB6', label='Refined Frame Camera Models')\n", - "print(ax[0].get_ylim())\n", - "ax[0].legend()\n", - "\n", - "ax[0].set_xticks((np.array(range(len(rpc_stats)))*2.0-0.4 + np.array(range(len(frame_stats)))*2.0+0.4)/2)\n", - "ax[0].set_xticklabels(ticks,ha='center')\n", - "ax[0].set_xlim(-2, len(ticks)*2)\n", - "\n", - "ax[0].set_ylabel('Relative Accuracy (m)')\n", - "\n", + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "window.mpl = {};\n", + "\n", + "\n", + "mpl.get_websocket_type = function() {\n", + " if (typeof(WebSocket) !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof(MozWebSocket) !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert('Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.');\n", + " };\n", + "}\n", + "\n", + "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = (this.ws.binaryType != undefined);\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById(\"mpl-warnings\");\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent = (\n", + " \"This browser does not support binary websocket messages. \" +\n", + " \"Performance may be slow.\");\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = $('
');\n", + " this._root_extra_style(this.root)\n", + " this.root.attr('style', 'display: inline-block');\n", + "\n", + " $(parent_element).append(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", + " fig.send_message(\"send_image_mode\", {});\n", + " if (mpl.ratio != 1) {\n", + " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", + " }\n", + " fig.send_message(\"refresh\", {});\n", + " }\n", + "\n", + " this.imageObj.onload = function() {\n", + " if (fig.image_mode == 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function() {\n", + " fig.ws.close();\n", + " }\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "}\n", + "\n", + "mpl.figure.prototype._init_header = function() {\n", + " var titlebar = $(\n", + " '
');\n", + " var titletext = $(\n", + " '
');\n", + " titlebar.append(titletext)\n", + " this.root.append(titlebar);\n", + " this.header = titletext[0];\n", + "}\n", + "\n", + "\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", + "\n", + "}\n", + "\n", + "\n", + "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", + "\n", + "}\n", + "\n", + "mpl.figure.prototype._init_canvas = function() {\n", + " var fig = this;\n", + "\n", + " var canvas_div = $('
');\n", + "\n", + " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", + "\n", + " function canvas_keyboard_event(event) {\n", + " return fig.key_event(event, event['data']);\n", + " }\n", + "\n", + " canvas_div.keydown('key_press', canvas_keyboard_event);\n", + " canvas_div.keyup('key_release', canvas_keyboard_event);\n", + " this.canvas_div = canvas_div\n", + " this._canvas_extra_style(canvas_div)\n", + " this.root.append(canvas_div);\n", + "\n", + " var canvas = $('');\n", + " canvas.addClass('mpl-canvas');\n", + " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", + "\n", + " this.canvas = canvas[0];\n", + " this.context = canvas[0].getContext(\"2d\");\n", + "\n", + " var backingStore = this.context.backingStorePixelRatio ||\n", + "\tthis.context.webkitBackingStorePixelRatio ||\n", + "\tthis.context.mozBackingStorePixelRatio ||\n", + "\tthis.context.msBackingStorePixelRatio ||\n", + "\tthis.context.oBackingStorePixelRatio ||\n", + "\tthis.context.backingStorePixelRatio || 1;\n", + "\n", + " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + "\n", + " var rubberband = $('');\n", + " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", + "\n", + " var pass_mouse_events = true;\n", + "\n", + " canvas_div.resizable({\n", + " start: function(event, ui) {\n", + " pass_mouse_events = false;\n", + " },\n", + " resize: function(event, ui) {\n", + " fig.request_resize(ui.size.width, ui.size.height);\n", + " },\n", + " stop: function(event, ui) {\n", + " pass_mouse_events = true;\n", + " fig.request_resize(ui.size.width, ui.size.height);\n", + " },\n", + " });\n", + "\n", + " function mouse_event_fn(event) {\n", + " if (pass_mouse_events)\n", + " return fig.mouse_event(event, event['data']);\n", + " }\n", + "\n", + " rubberband.mousedown('button_press', mouse_event_fn);\n", + " rubberband.mouseup('button_release', mouse_event_fn);\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband.mousemove('motion_notify', mouse_event_fn);\n", + "\n", + " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", + " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", + "\n", + " canvas_div.on(\"wheel\", function (event) {\n", + " event = event.originalEvent;\n", + " event['data'] = 'scroll'\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " mouse_event_fn(event);\n", + " });\n", + "\n", + " canvas_div.append(canvas);\n", + " canvas_div.append(rubberband);\n", + "\n", + " this.rubberband = rubberband;\n", + " this.rubberband_canvas = rubberband[0];\n", + " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", + " this.rubberband_context.strokeStyle = \"#000000\";\n", + "\n", + " this._resize_canvas = function(width, height) {\n", + " // Keep the size of the canvas, canvas container, and rubber band\n", + " // canvas in synch.\n", + " canvas_div.css('width', width)\n", + " canvas_div.css('height', height)\n", + "\n", + " canvas.attr('width', width * mpl.ratio);\n", + " canvas.attr('height', height * mpl.ratio);\n", + " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", + "\n", + " rubberband.attr('width', width);\n", + " rubberband.attr('height', height);\n", + " }\n", + "\n", + " // Set the figure to an initial 600x600px, this will subsequently be updated\n", + " // upon first draw.\n", + " this._resize_canvas(600, 600);\n", + "\n", + " // Disable right mouse context menu.\n", + " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", + " return false;\n", + " });\n", + "\n", + " function set_focus () {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "}\n", + "\n", + "mpl.figure.prototype._init_toolbar = function() {\n", + " var fig = this;\n", + "\n", + " var nav_element = $('
');\n", + " nav_element.attr('style', 'width: 100%');\n", + " this.root.append(nav_element);\n", + "\n", + " // Define a callback function for later on.\n", + " function toolbar_event(event) {\n", + " return fig.toolbar_button_onclick(event['data']);\n", + " }\n", + " function toolbar_mouse_event(event) {\n", + " return fig.toolbar_button_onmouseover(event['data']);\n", + " }\n", + "\n", + " for(var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " // put a spacer in here.\n", + " continue;\n", + " }\n", + " var button = $('');\n", + " button.click(method_name, toolbar_event);\n", + " button.mouseover(tooltip, toolbar_mouse_event);\n", + " nav_element.append(button);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = $('');\n", + " nav_element.append(status_bar);\n", + " this.message = status_bar[0];\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = $('
');\n", + " var button = $('');\n", + " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", + " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", + " buttongrp.append(button);\n", + " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", + " titlebar.prepend(buttongrp);\n", + "}\n", + "\n", + "mpl.figure.prototype._root_extra_style = function(el){\n", + " var fig = this\n", + " el.on(\"remove\", function(){\n", + "\tfig.close_ws(fig, {});\n", + " });\n", + "}\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function(el){\n", + " // this is important to make the div 'focusable\n", + " el.attr('tabindex', 0)\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " }\n", + " else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "\n", + "}\n", + "\n", + "mpl.figure.prototype._key_event_extra = function(event, name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager)\n", + " manager = IPython.keyboard_manager;\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which == 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "}\n", + "\n", + "mpl.figure.prototype.handle_save = function(fig, msg) {\n", + " fig.ondownload(fig, null);\n", + "}\n", + "\n", + "\n", + "mpl.find_output_cell = function(html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i=0; i= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] == html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "}\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel != null) {\n", + " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(-18.68018035888672, 392.2837875366211)\n", + "(-18.68018035888672, 392.2837875366211)\n" + ] + } + ], + "source": [ + "rpc_stats = [np.ma.compressed(rpc_snow_on_nmad),np.ma.compressed(rpc_snow_off_nmad)]\n", + "frame_stats = [np.ma.compressed(snow_on_nmad),np.ma.compressed(snow_off_nmad)]\n", + "ticks = [f'Snow-on\\n{np.round(frame_stats[0].size*2*2*1e-6,2)}km$^2$',\n", + " f'Snow-off\\n{np.round(frame_stats[1].size*2*2*1e-6,2)}km$^2$']\n", + "ticks_inset = [f'Snow-on',\n", + " f'Snow-off']\n", + "# ,gridspec_kw={'width_ratios': [2.5,1.5]}\n", + "f,ax = plt.subplots(1,3,figsize=(12,6))\n", + "box_pre = ax[0].boxplot(rpc_stats, positions=np.array(range(len(rpc_stats)))*2.0-0.4, sym='', widths=0.6)\n", + "#ax2 = ax[0].twinx() # instantiate a second axes that shares the same x-axis\n", + "\n", + "#ax[0].set_ylim(,390)\n", + "box_post = ax[0].boxplot(frame_stats, positions=np.array(range(len(frame_stats)))*2.0+0.4, sym='', widths=0.6)\n", + "set_box_color(box_pre, '#D7191C') # colors are from http://colorbrewer2.org/\n", + "set_box_color(box_post, '#2C7BB6')\n", + "\n", + "# draw temporary red and blue lines and use them to create a legend\n", + "ax[0].plot([], c='#D7191C', label='L1A RPC Camera Models')\n", + "ax[0].plot([], c='#2C7BB6', label='Refined Frame Camera Models')\n", + "print(ax[0].get_ylim())\n", + "ax[0].legend()\n", + "ax[0].set_xticks((np.array(range(len(rpc_stats)))*2.0-0.4 + np.array(range(len(frame_stats)))*2.0+0.4)/2)\n", + "ax[0].set_xticklabels(ticks,ha='center')\n", + "ax[0].set_xlim(-2, len(ticks)*2)\n", + "\n", + "ax[0].set_ylabel('Relative Accuracy (m)')\n", + "\n", "ax[0].grid(linestyle='--',axis='y')\n", "#### Middle plot\n", "box_pre = ax[1].boxplot(rpc_stats, positions=np.array(range(len(rpc_stats)))*2.0-0.4, sym='', widths=0.6)\n", @@ -8398,22 +9938,22 @@ "label_itereator = string.ascii_uppercase\n", "for idx,axes in enumerate(ax):\n", " axes.text(0.02,0.95,label_itereator[idx],color='k',fontsize=20,transform=axes.transAxes)\n", - "plt.savefig('/nobackup/sbhusha1/skysat_manuscript/figures/Supplemtary_x3.jpg',\n", - " dpi=300,bbox_inches='tight',pad_inches=0.1)" + "#plt.savefig('/nobackup/sbhusha1/skysat_manuscript/figures/Supplemtary_x3.jpg',\n", + " # dpi=300,bbox_inches='tight',pad_inches=0.1)" ] }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.28173828" + "0.1652832" ] }, - "execution_count": 114, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -8424,16 +9964,56 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.608201123046875" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "malib.mad(dh_stats[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.831170263671875" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "malib.mad(dh_stats[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "-0.1821289" + "-0.30249023" ] }, - "execution_count": 116, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -12614,19 +14194,19 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "img1 = '/nobackup/sbhusha1/skysat/proc_rainier/final_paper_submission/revision1/in_img/20190827_214711_ssc9d1_0001_basic_panchromatic_dn.tif'\n", "img2 = '/nobackup/sbhusha1/skysat/proc_rainier/final_paper_submission/revision1/in_img/20190827_214821_ssc9d1_0001_basic_panchromatic_dn.tif'\n", "dense_matches = '/nobackup/sbhusha1/skysat/proc_rainier/final_paper_submission/revision1/proc_out_rainier_lidar_proc_lidar_align/proc_out/ba_pinhole/run-20190827_214711_ssc9d1_0001_basic_panchr__20190827_214821_ssc9d1_0001_basic_panchr-clean.match'\n", - "sparse_matches = '/nobackup/sbhusha1//skysat/proc_rainier/final_paper_submission/revision1/proc_out_rainier_lidar_proc_lidar_align/proc_out/ba_delete_match/run-20190827_214711_ssc9d1_0001_basic_panchr__20190827_214821_ssc9d1_0001_basic_panchr-clean.match'" + "sparse_matches = '/nobackup/sbhusha1//skysat/proc_rainier/final_paper_submission/revision1/proc_out_rainier_lidar_proc_lidar_align/proc_out/ba_sparse_sample/run-20190827_214711_ssc9d1_0001_basic_panchr__20190827_214821_ssc9d1_0001_basic_panchr.match'" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -12682,7 +14262,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -12692,7 +14272,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -12704,9 +14284,9 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 20, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { @@ -12740,79 +14320,139 @@ " 7\n", " 8\n", " 9\n", - " 10\n", + " ...\n", + " 129\n", + " 130\n", + " 131\n", + " 132\n", + " 133\n", + " 134\n", + " 135\n", + " 136\n", + " 137\n", + " 138\n", " \n", " \n", " \n", " \n", " 0\n", - " 3012.0\n", - " 1304.0\n", - " 3012\n", - " 1304\n", - " 0.0\n", - " 1.500000\n", - " 0.0\n", - " 0\n", - " 0\n", - " 0\n", + " 862.520630\n", + " 184.880798\n", + " 862\n", + " 184\n", + " 36.437622\n", + " 2.231279\n", + " 0.017163\n", " 0\n", + " 15729151\n", + " 15729151\n", + " ...\n", + " 0.000000\n", + " 0.000000\n", + " 0.007812\n", + " 0.236328\n", + " 0.175781\n", + " 0.003906\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", " \n", " \n", " 1\n", - 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"execution_count": 24, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -12931,7 +14657,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -13145,7 +14871,7 @@ "[1884 rows x 11 columns]" ] }, - "execution_count": 26, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -13176,7 +14902,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -13959,7 +15685,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -13983,7 +15709,7 @@ "axa[2].scatter(df_dense_ip1[0],df_dense_ip1[1],c='r',s=0.5)\n", "axa[3].scatter(df_dense_ip2[0],df_dense_ip2[1],c='r',s=0.5)\n", "plt.tight_layout()\n", - "outfig = os.path.join(master_fig_dir,'SFx.jpg')\n", + "outfig = os.path.join(master_fig_dir,'SF2_corrected.jpg')\n", "plt.savefig(outfig,dpi=universal_fig_opt['dpi'],bbox_inches=universal_fig_opt['bbox_inches'],pad_inches=universal_fig_opt['pad_inches'])" ] }, diff --git a/scripts/skysat_dem_mos.py b/scripts/skysat_dem_mos.py index ee5be11..690003f 100755 --- a/scripts/skysat_dem_mos.py +++ b/scripts/skysat_dem_mos.py @@ -78,7 +78,7 @@ def main(): print('total dems are {}'.format(len(total_dem_list))) out_fn_list = [os.path.join(out_folder,'triplet_{}_mos.tif'.format(stat)) for stat in stats_list] print("Mosaicing output total per-pixel nmad, count, nmad and 3 DEMs from 3 stereo combinations in parallel") - dem_mos_log = p_map(asp.dem_mosaic,[total_dem_list]*3+[for_aft_list,nadir_aft_list,for_nadir_list],out_fn_list+[os.path.join(out_folder,x) for x in ['for_aft_dem_median_mos.tif', 'nadir_aft_dem_median_mos.tif', 'for_nadir_dem_median_mos.tif']],['None']*6,[None]*6,stats_list+['median']*3,num_cpus=1) + dem_mos_log = p_map(asp.dem_mosaic,[total_dem_list]*3+[for_aft_list,nadir_aft_list,for_nadir_list],out_fn_list+[os.path.join(out_folder,x) for x in ['for_aft_dem_median_mos.tif', 'nadir_aft_dem_median_mos.tif', 'for_nadir_dem_median_mos.tif']],['None']*6,[None]*6,stats_list+['median']*3,[None]*6,num_cpus=4) out_log_fn = os.path.join(out_folder,'skysat_triplet_dem_mos.log') print("Saving triplet DEM mosaic log at {}".format(out_log_fn)) with open(out_log_fn,'w') as f: @@ -99,7 +99,7 @@ def main(): stats_list = ['median','count','nmad'] print('total dems are {}'.format(len(video_dem_list))) out_fn_list = [os.path.join(out_folder,'video_{}_mos.tif'.format(stat)) for stat in stats_list] - dem_mos_log = p_map(asp.dem_mosaic,[video_dem_list]*3,out_fn_list,['None']*3,[None]*3,stats_list) + dem_mos_log = p_map(asp.dem_mosaic,[video_dem_list]*3,out_fn_list,['None']*3,[None]*3,stats_list,[None]*3) out_log_fn = os.path.join(out_folder,'skysat_video_dem_mos.log') with open(out_log_fn,'w') as f: for log in dem_mos_log: diff --git a/scripts/skysat_orthorectify.py b/scripts/skysat_orthorectify.py index 0c6fb11..49a9270 100755 --- a/scripts/skysat_orthorectify.py +++ b/scripts/skysat_orthorectify.py @@ -82,11 +82,11 @@ def main(): aft_out_mos = os.path.join(outdir,'aft_map_mos_{}m.tif'.format(tr)) aft_map_list = sorted(glob.glob(os.path.join(aft_out_dir,'*.tif'))) print("Preparing forward browse orthomosaic") - for_mos_log = asp.dem_mosaic(for_map_list,for_out_mos,tr,tsrs,'first') + for_mos_log = asp.dem_mosaic(for_map_list,for_out_mos,tr,tsrs,'first',None) print("Preparing nadir browse orthomosaic") - nadir_mos_log = asp.dem_mosaic(nadir_map_list, nadir_out_mos, tr, tsrs, 'first') + nadir_mos_log = asp.dem_mosaic(nadir_map_list, nadir_out_mos, tr, tsrs, 'first',None) print("Preparing aft browse orthomosaic") - aft_mos_log = asp.dem_mosaic(aft_map_list, aft_out_mos, tr, tsrs, 'first') + aft_mos_log = asp.dem_mosaic(aft_map_list, aft_out_mos, tr, tsrs, 'first',None) ## delete temporary files if del_opt: [shutil.rmtree(x) for x in [for_out_dir,nadir_out_dir,aft_out_dir]] @@ -150,14 +150,14 @@ def main(): median_mosaic = os.path.join(outdir,'{}_{}_{}_median_orthomosaic.tif'.format(for_time,nadir_time,aft_time)) wt_avg_mosaic = os.path.join(outdir,'{}_{}_{}_wt_avg_orthomosaic.tif'.format(for_time,nadir_time,aft_time)) print("producing finest resolution on top mosaic, per-pixel median and wt_avg mosaic") - all_3_view_mos_logs = p_map(asp.dem_mosaic, [res_sorted_list]*3, [res_sorted_mosaic,median_mosaic,wt_avg_mosaic], ['None']*3, [None]*3, ['first','median',None],num_cpus=2) + all_3_view_mos_logs = p_map(asp.dem_mosaic, [res_sorted_list]*3, [res_sorted_mosaic,median_mosaic,wt_avg_mosaic], ['None']*3, [None]*3, ['first','median',None],[None]*3,num_cpus=4) res_sorted_log = asp.dem_mosaic(res_sorted_list,res_sorted_mosaic,tr='None',stats='first') print("producing idependent mosaic for different views in parallel") for_mosaic = os.path.join(outdir,'{}_for_first_mosaic.tif'.format(for_time)) nadir_mosaic = os.path.join(outdir,'{}_nadir_first_mosaic.tif'.format(nadir_time)) aft_mosaic = os.path.join(outdir,'{}_aft_first_mosaic.tif'.format(aft_time)) # prepare mosaics in parallel - indi_mos_log = p_map(asp.dem_mosaic,[for_img_list,nadir_img_list,aft_img_list], [for_mosaic,nadir_mosaic,aft_mosaic], ['None']*3, [None]*3, ['first']*3,num_cpus=2) + indi_mos_log = p_map(asp.dem_mosaic,[for_img_list,nadir_img_list,aft_img_list], [for_mosaic,nadir_mosaic,aft_mosaic], ['None']*3, [None]*3, ['first']*3,[None]*3,num_cpus=4) out_log = os.path.join(outdir,'science_mode_ortho_mos.log') total_mos_log = all_3_view_mos_logs+indi_mos_log print("Saving orthomosaic log at {}".format(out_log)) @@ -173,7 +173,7 @@ def main(): print("producing orthomosaic with weighted average statistics") wt_avg_mosaic = os.path.join(outdir,'video_wt_avg_orthomosaic.tif') print("Mosaicing will be done in parallel") - all_3_view_mos_logs = p_map(asp.dem_mosaic, [res_sorted_list]*3, [res_sorted_mosaic,median_mosaic,wt_avg_mosaic], ['None']*3, [None]*3, ['first','median',None]) + all_3_view_mos_logs = p_map(asp.dem_mosaic, [res_sorted_list]*3, [res_sorted_mosaic,median_mosaic,wt_avg_mosaic], ['None']*3, [None]*3, ['first','median',None],[None]*3) out_log = os.path.join(outdir,'science_mode_ortho_mos.log') print("Saving orthomosaic log at {}".format(out_log)) with open(out_log,'w') as f: diff --git a/scripts/skysat_triplet_pipeline.py b/scripts/skysat_triplet_pipeline.py index fef98ca..1c028dc 100755 --- a/scripts/skysat_triplet_pipeline.py +++ b/scripts/skysat_triplet_pipeline.py @@ -1,13 +1,15 @@ #! /usr/bin/env python import subprocess import argparse -import os,sys,glob +import os,sys,glob,shutil from rpcm import geo import numpy as np import geopandas as gpd from distutils.spawn import find_executable +from skysat_stereo import misc_geospatial as misc from skysat_stereo import asp_utils as asp + """ Script for running the full pipeline based on workflow described in ISPRS 2020 submission Need to specify input image folder, input refrence DEM folder @@ -43,11 +45,14 @@ def main(): img_list = glob.glob(os.path.join(img_folder,'*.tif'))+glob.glob(os.path.join(img_folder,'*.tiff')) if len(img_list)<2: print(f"Only {len(img_list)} images detected, exiting") + sys.exit() if not os.path.exists(coreg_dem): print(f"Coreg dem {coreg_dem} could not be located, exiting") + sys.exit() if not os.path.exists(ortho_dem): print(f"Ortho dem {ortho_dem} could not be located, exiting") - + sys.exit() + # structure for output folder out_fol = os.path.join(args.outfolder,'proc_out') job_name = args.job_name @@ -102,11 +107,14 @@ def main(): # step 9, final orthorectification final_ortho_dir = os.path.join(out_fol,'georegisterd_orthomosaics') - - # step 10, experimental rpc production + + # step 10, plot figure + final_figure = os.path.join(out_fol,f"{job_name}_result.jpg") + + # step 11, experimental rpc production if args.full_workflow == 1: - steps2run = np.arange(0,10) # run the entire 9 steps + steps2run = np.arange(0,11) # run the entire 9 steps else: steps2run = np.array(args.partial_workflow_steps).astype(int) @@ -272,6 +280,14 @@ def main(): '-ba_prefix',os.path.join(aligned_cam_dir,'run-run')] print("Running final orthomsaic creation") asp.run_cmd('skysat_orthorectify.py',ortho_cmd) + if 10 in steps2run: + # this produces a final plot of orthoimage,DEM, NMAD and countmaps + ortho = glob.glob(os.path.join(final_ortho_dir,'*finest_orthomosaic.tif'))[0] + count = glob.glob(os.path.join(mos_dem_dir,'*count*.tif'))[0] + nmad = glob.glob(os.path.join(mos_dem_dir,'*nmad*.tif'))[0] + georegistered_median_dem = glob.glob(os.path.join(alignment_dir,'run-trans_*DEM.tif'))[0] + print("plotting final figure") + misc.plot_composite_fig(ortho,georegistered_median_dem,count,nmad,outfn=final_figure) if __name__ == '__main__': main() diff --git a/scripts/skysat_video_pipeline.py b/scripts/skysat_video_pipeline.py index 6900e2d..f46aa93 100755 --- a/scripts/skysat_video_pipeline.py +++ b/scripts/skysat_video_pipeline.py @@ -6,6 +6,7 @@ import numpy as np import geopandas as gpd from distutils.spawn import find_executable +from skysat_stereo import misc_geospatial as misc from skysat_stereo import asp_utils as asp from skysat_stereo import skysat @@ -100,6 +101,9 @@ def main(): # step7, final orthorectification final_ortho_dir = os.path.join(out_fol,'georegisterd_orthomosaics') + # step 8, plot figure + final_figure = os.path.join(out_fol,f"{job_name}_result.jpg") + # step 10, experimental rpc production if args.full_workflow == 1: @@ -276,5 +280,14 @@ def main(): print("Running final orthomsaic creation") asp.run_cmd('skysat_orthorectify.py',ortho_cmd) + if 8 in steps2run: + # this produces a final plot of orthoimage,DEM, NMAD and countmaps + ortho = glob.glob(os.path.join(final_ortho_dir,'*median_orthomosaic.tif'))[0] + count = glob.glob(os.path.join(mos_dem_dir,'*count*.tif'))[0] + nmad = glob.glob(os.path.join(mos_dem_dir,'*nmad*.tif'))[0] + georegistered_median_dem = glob.glob(os.path.join(alignment_dir,'run-trans_*DEM.tif'))[0] + print("plotting final figure") + misc.plot_composite_fig(ortho,georegistered_median_dem,count,nmad,outfn=final_figure,product='video') + if __name__ == '__main__': main() diff --git a/skysat_stereo/asp_utils.py b/skysat_stereo/asp_utils.py index 8b04a49..afba0df 100644 --- a/skysat_stereo/asp_utils.py +++ b/skysat_stereo/asp_utils.py @@ -314,8 +314,8 @@ def mapproject(img,outfn,session='rpc',dem='WGS84',tr=None,t_srs='EPSG:4326',cam type of input camera model (default: rpc) dem: str path to input DEM over which images will be draped (default: WGS84, orthorectify just over datum) - tr: float/int - target resolution of orthorectified output image + tr: str + target resolution of orthorectified output image (e.g.: '0.9') t_srs: str target projection of orthorectified output image (default: EPSG:4326) cam: str @@ -357,6 +357,8 @@ def dem_mosaic(img_list,outfn,tr=None,tsrs=None,stats=None,tile_size=None): target projection of orthorectified output image (default: EPSG:4326) stats: str metric to use for mosaicing + tile_size: int + tile size for distributed mosaicing (if less on memory) Returns ---------- out: str @@ -364,17 +366,37 @@ def dem_mosaic(img_list,outfn,tr=None,tsrs=None,stats=None,tile_size=None): """ dem_mosaic_opt = [] - dem_mosaic_opt.extend(['-o',outfn]) + if stats: dem_mosaic_opt.extend(['--{}'.format(stats)]) if (tr is not None) & (ast.literal_eval(tr) is not None): dem_mosaic_opt.extend(['--tr', str(tr)]) if tsrs: dem_mosaic_opt.extend(['--t_srs', tsrs]) + dem_mosaic_args = img_list if tile_size: + # will first perform tile-wise vertical mosaicing + # then blend the result dem_mosaic_opt.extend(['--tile-size',str(tile_size)]) - dem_mosaic_args = img_list - out = run_cmd('dem_mosaic',dem_mosaic_args+dem_mosaic_opt) + temp_fol = os.path.splitext(outfn)[0]+'_temp' + dem_mosaic_opt.extend(['-o',os.path.join(temp_fol,run)]) + out_tile_op = run_cmd('dem_mosaic',dem_mosaic_args+dem_mosaic_opt) + # query all tiles and then do simple mosaic + mos_tile_list = sorted(glob.glob(os.path.join(temp_fol+'run-*.tif'))) + print(f"Found {len(mos_tile_list)}") + # now perform simple mosaic + dem_mos2_opt = [] + dem_mos2_opt.extend(['-o',outfn]) + dem_mos2_args = mos_tile_list + out_fn_mos = run_cmd('dem_mosaic',dem_mos2_args+dem_mos2_opt) + out = out_tile_op+out_fn_mos + print("Deleting tile directory") + shutil.rmtree(temp_fol) + + else: + # process all at once, no tiling + dem_mosaic_opt.extend(['-o',outfn]) + out = run_cmd('dem_mosaic',dem_mosaic_args+dem_mosaic_opt) return out def get_stereo_opts(session='rpc',threads=4,ba_prefix=None,align='Affineepipolar',xcorr=2,std_mask=0.5,std_kernel=-1,lv=5,corr_kernel=[21,21],rfne_kernel=[35,35],stereo_mode=0,spm=1,cost_mode=2,corr_tile_size=1024,mvs=False): diff --git a/skysat_stereo/misc_geospatial.py b/skysat_stereo/misc_geospatial.py index 6036296..a41ed84 100644 --- a/skysat_stereo/misc_geospatial.py +++ b/skysat_stereo/misc_geospatial.py @@ -1,18 +1,23 @@ #! /usr/bin/env python +import matplotlib +matplotlib.use('Agg') import numpy as np import pandas as pd import geopandas as gpd +from imview import pltlib +import matplotlib.pyplot as plt +from pygeotools.lib import iolib,warplib def shp_merger(shplist): """ merge multiple geopandas shapefiles into 1 multi-row shapefile Parameters - ---------- + ------------ shplist: list list of geopandas shapefiles Returns - ---------- + ------------ gpd_merged: geopandas geodataframe merged multirow shapefile """ @@ -20,3 +25,34 @@ def shp_merger(shplist): gpd_merged = pd.concat([shp for shp in shplist]).pipe(gpd.GeoDataFrame) return gpd_merged +def plot_composite_fig(ortho,dem,count,nmad,outfn,product='triplet'): + """ + Plot the gallery figure for final DEM products + Parameters + ------------ + ortho: str + path to orthoimage + dem: str + path to dem + count: str + path to count map + nmad: str + path to NMAD + outfn: str + path to save output figure + ortho: str + product to plot (triplet/video) + """ + if product == 'triplet': + figsize=(10,8) + else: + figsize=(10,3) + f,ax = plt.subplots(1,4,figsize=figsize) + ds_list = warplib.memwarp_multi_fn([ortho,dem,count,nmad],res='max') + ortho,dem,count,nmad = [iolib.ds_getma(x) for x in ds_list] + pltlib.iv(ortho,ax=ax[0],cmap='gray',scalebar=True,cbar=False,ds=ds_list[0],skinny=False) + pltlib.iv(dem,ax=ax[1],hillshade=True,scalebar=False,ds=ds_list[1],label='Elevation (m WGS84)',skinny=False) + pltlib.iv(count,ax=ax[2],cmap='YlOrRd',label='DEM count',skinny=False) + pltlib.iv(nmad,ax=ax[3],cmap='inferno',clim=(0,10),label='Elevation NMAD (m)',skinny=False) + plt.tight_layout() + f.savefig(outfn,dpi=300,bbox_inches='tight',pad_inches=0.1)