(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 8.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 157, 7] NotebookDataLength[ 537682, 9415] NotebookOptionsPosition[ 535569, 9339] NotebookOutlinePosition[ 535914, 9354] CellTagsIndexPosition[ 535871, 9351] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["1D optimization", "Section", CellChangeTimes->{{3.5311861653554316`*^9, 3.5311861764158506`*^9}, 3.531186446079158*^9}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{ RowBox[{"12", RowBox[{"Log", "[", "\[Lambda]", "]"}]}], "-", RowBox[{"8", "\[Lambda]"}]}], ",", RowBox[{"{", RowBox[{"\[Lambda]", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"AxesOrigin", "\[Rule]", RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.531186184013064*^9, 3.5311862646028056`*^9}}], Cell[BoxData[ GraphicsBox[{{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[CompressedData[" 1:eJwVlnk4lV0Xxg2hojLlLT1n4GSOhEqK9ciQKaUUSSqZilBvFFFKkyRDZjJU hopQCKmW8sqUqUKZUkjm6XCO8TvfX/v6Xftae19r3fdae0vZexxw5OHi4tLi 5uL6/7riksvOnDMOECNZJGJQcRjLv9DNrOinwb8+d3DumAUuVbwLpNN9YKVS xRG/aHNcHVGYu7L1OnyelTn0XdEMH2IIjY8eBGb1I+bUCya4adTh/pJzKNyc e7UQSDfGjtVJi/MtEXCn1Wb9Q0Ej3Ji+YtvsXBTEB95Vm5Pag27aXmdnaHFg m6DPXmZtiK++/nwypZcI43yjspBugLOuZu3jzsngxPd5IUTAAFO424NmDFLB qkDkjdklfdT/HC4z3fIIHJ2WZ1Qz9bA/dk/Z1OknIOB8unTeXw/vOSzYTs6l wZ7hvLNma/Twy5xL5BjtKTzd9Y3pY7QbvT9RVUfznkFWoZvP1RFdlHzwtWZY Lwu8qeoTLXG6aK9I8g4658AJBdFUk0USeeZ866f8cqHk6tUE/0ISv/48RJky yAPtqQ3ayudJvJQlWDzR8hJCYr+tT+oFNIno459IeQUbdELPXXEHJC6VWY6f zoe15yTETeZ1EPUujo3OFUBYopHZFhkdFGj7JTdMK4brCUlriSe7sBXfeg31 F8NwXrhpu+kufJYe+3EwrwQc5RIX3ad3ovl58+MDeqUgK5D/1fngToxeURL9 x/k9HLNbz9Mhr4X5F03O/7sO4cNKBabx7x2YOLB9/aQfQivds/tu8g50bxB1 njAoA2OjWGE1yg4UTazkGW/5AN02+cF8Spo4t7rwqeeuj3C3l6ebOb4de649 3j+W8hHIvy+blEu2Y6HzlaTR0+Wg1m7jqGu+HW3UNbRG5v6Di994A4oCt2Fq dfK5QVoVBPCqrP24YStOxRYodt2rguHrNWasEQ00dK753cSuAkkrGgp81MAh 3plDJV+q4aSxgUXcWQ3U1DbXCrpdC2HerpVfa9QxWNBh0m+qFj7VSfTKpqlj 53efLM+TnyH8xd9h6avqeMM7jWq9sw4GqsCNb6s6NuTM88iN1sPDl2lFMxlq KAor7FapNIDK+GutDbfUcKdspNZthwa4n8v6VOGghvennk76NjbAd7liIpOh hhrh3xztnzdCbqhNwI6MLXi1epPJluNfoMcj3kXqoypm5r2WfR71BXrrWvpO ZKpiU+xuXpnaL3C8dUhnIUQVNzpbl67b8RWeGWUk6NuoYjXvDRUusW/g10S/ lT+8GSW020TrK5pB3uL7ueP+KkhudBo1WmiGQ3ejt7RZqOBpwfGaD+ot4Hyz uaBDVgVLv/PfLExpAattNIOzTcpo760289C3FUYuXn3utVkZX+QEtbmp/ABD MedTh5aUcEB04J7JyR8QNvqHiOtQQjlvEx35yB9QW6Qguq1UCVN2Cab+Zv+A FR7HnLx9lTCi6p6TzX9tYKM1bTY8q4jev0PH99h2gHxR89sXKxXxpeHYI5nQ DrBUDi9jDivg6NP9lrwfOoC/z6MlsFEBXTxFXr+T64SwKx+8zsUpoM1ChN/W yU5Q9WmR89mkgMmCNYEiBj+h+rVph7+dPOpoX7YNsPsJMgIpm+oM5LHdXWnr 6MWfkOC6ws1aWR7XNQX31T77CVVBaVP/LMhheKyZ8R3hbujUq3ZXTZbDQJm6 1Utt3ZDrUh+rNSyLztAYN3T+N1hjevPXLBnkejRd0hb8G+a7WPoJ8TIYu4xo r37yGwKu7Su7c0cGK6ucqE+bf0P7id4jLQ4yKG85/8hRqwdCXvx6oEmTwX4X uaxO7l6YdnXoehO/EQNqzD5/luwFkcFzTZ/ubsR1KudHStV7oVn1qgHTdyMa TZaqJjj2gl2i5vlXRzfiU/8DBVZVnEGgmRuaT92IZyL83zWE9cHE4tqzd58x kIf5qOv90z5wlzz2PjiRgfFWlVw5H/qgn+sD9dl9BlYTYnohU30gEvdEQPtf BiplZH4ytv4D1FNpZfnaDBx686XhA60fdBtT9hW1SKN7r8Lv/Bd/QcS7xiuG Ko0/7b4vL6v6C4Iay3f3iErjwdY7Kp97/kKJ82ovUwFp1Kz549MrOQBDC0x1 lzEp5M1LE5a4PQDl0WE7vn2Uwlg/KZ2Lxwfh3r+dkfs9pHDldMOpQN9BuJNZ 4KDkKIX+HgFBoVGD4GBg4UU5KoX29l1fM2oGIdnX7LHhHincZPTQtXX7EEh3 k9aZdCksE1sft0N4GNjXUkYDW+ioEVL5zkBpGFTv3Qp+V0fHdP5LPRaGw7Am XaN6VQUd77GbN5/xGwZPPZHYv/l0PNwVWRHfPwy/3t5yjHhAx4FnwlNzOAJx jolBQZZ0XCl1Q65LcwwMo/JN9lbSsHJX+OYrBmNw1GN/gG4pDW9ZJ22nHBiD 4VZ6zIFcGvKEFe056joGXfdOFFbH0nB2cci55eEYdFtlTK5ypeFg+6HMep5x 2KarcvaNOA2fsexz3deMg8bR+fTTK2noIu5ZtIoYh28xhKwaFw17TO9Wmm4d hxS970dEhqjYXvKu/5PzOIQ5HfNc9h8Va2PlFLB2HBbeyCs/vEzFu/kaW45/ H4fldimmneepaNSgu2OxdxyoLzec2X6GiuUCtsa7lsahV1OVvuUIFUu9w04X bZmA0rel9TqaVMy2ZD/NjZ6AtdWLohmzFHTz5H+57/EEtPJMj1pPUlDxnljJ SM4EZH3rrKcPUTD9o3L1pqoJcPo9KzXRQcEkNfuBzLkJMGy61xnzgYL3hWsU U09MAj+jcaQ5lILF2ykF5u6TsFHIQN82iII9dh4wf3kShtIi7dnXKbgzW8zS KmYS7jdnXvD1pmC/sa3/qrpJ2Dc3dSTSjoLi514IvGmbBCF4dPyrNQUhlivC 5e8k3IjsUlQ6SMHovifpH5dNgfETiyjCiIJ6gcP1PjunwKSkz05QnYLuz8BG zngKVIopGovKFIxvDO/5engK7Ooa2vgVKDhG28befH4KVHPSlY/QOPmUXpHu y5yCbR15+YtCFGQx13gdkGBCTtPBZo0hAhkU+6UlBhO4S30iLvYTaK6fH5S9 hQna6zyd6noITIuwTlq+lwkPzzqMvO4g8MDm1E/vApmQa36k4GIDgVcOT1q4 hTOhn/eeo/VngtPfBu3rk5kQtebVKbNqArlq/45dKGFCftKl/rPlBGa7qEkq jTNBM3zdhchiAltDbzxpXWRCW2fbhNBrApe9bla5JTQNwdl23LH5BNrwXdbr lpsGcd3ac705BN7a9Pnz/a3TUD+9NT0jm8C8gzTrXXrToKVju8bvOYHLH310 i7GbBjt2uuzRDALVq9bO6LtNQ1dbVKZjGoF2Y87XJnymwdzpG//1xwQW6AhF 742aBuJxJPdYMoE/He3oc4+mIaGW8q9uEoFCIbnPMnOnQb9uheuTRALt2yzf 89ZOw6xMRVxSHIErE7rPnvs+DZ6FN8V3xRL40sad6Oqbhhs3bRkD0QTy/rjt U8I9Awful+dcjCQwK05cXn7NDJCDPfxWDwi0PJLaHEXMgOVmrTTDCAKftJao n9s+Aw9VhN0OhxFoFrvnV6f+DNxepeDhHUrglNXXMLMDMyB7I909/T6Bif+c hJLjnPPWylj3hRBo0DI8LHd2BqYHT6zfxuGRaN/EKN8Z0HmwNSXqHoHRhwVM ee/MgOaLhz+WcVhHIpLtGcXZz3tZGBhMYN83embnoxloSsiSFuXw/ajsw2a5 M6D7qlso9y6B2w5p8ZW8nQExnYpTxzjcKf7plVzNDAA5tFaSw7e/HrSPap2B 9Zq8on1BBKpG/hTm7ZuBubYWwzIOtx48+95zcgbyWg8+fs7hALHZs51cLIgI 85dI47D8l1uE2WoWHG67GJrN4YYIsZriDSxIrri2UM7hSwdSfOQUWCBvNb1v kMN0UWX5qG0seGli5k3n3F/VWNzMo8+CBz/WnnDg8Plww5ueFiwYucK1UMhh SYsv6p12LIh/+XXXOk5+H4RP/DJ1Y0H6a681dzh8pmEorNiHBXdtux34OfUR DfMBudssGCrbrPyAwyX7+EciI1kgKvXAWoVTX/s1DxJ5HrFgIMKqpYXDgvU0 U88cFmS0/IoL5eiTfz+L3VHKAiFaftghjn625jsyTatZoNp4KkuBo2/W5wN8 cr0sWOzftXY+nOOHkK5XkRMs0Nkvpj/L8cO8mZs9Dxcb1r2ROsrP8c/e2pvv OyTZ8HvRlN+I46/pYFF3U3k23DNo9vOPITDJNJko3sqGvXxeKcjx40h1kU/k fjYEHqnP90jg6H/XQJ7Hjg2OLvl32jh+1jFpavZwZYN7IFeDJcfvoVWD6qa3 2CA6KBngkcrRr5I6wl3KhmWZFp16mRz9bj9P9Khiw2xhZfn6Zxz99miadjSz 4Vm/f848p/8aKiwyi8bZIN6ZcfQvp1/P/XfD3kNuFlAlO862iEBqjyH/tPos vH8Qbnq+hMAanhXP/MhZkK/2Y0aUEihDhowHHZmFI39SBZhI4PeSqIAnwbMw sm+edydnnujmpid9H52FW67rA//r5ORX57L7xPwssM6fGLnZTWDCsGJf3/I5 2PqEmrefM7+YijnKU1JzcPdGmQTfAGc+pb0uXW05B52K1Uf6mQSKJFT+0Cua A3lNz0dhayj4rvjuleryOahujdk4IUpB11YzaYvGORBXW+l6TIKC/61tPG03 MAdC3PlSFhQK+oR9Z10i5iGQMr47S4mC3TcHJF4EzMPpnRe6FUwomOcpdHCd 8QJcKlDSWHGfgrXxYj7Zhxdg/8ARf2YEBfvKJZN3OyyAjbmu8FAMBSXXKwy6 XV0A7yyj4ZlUCt4oMwgsK1iAJmMP/6BCCh4WvfrqjPQiiK5O+BvcTcHZV+Ni b+cWoVNldFWDDhXFO1k7DqxYgiN7xddN6VNRZTnXiT8SS9CkmX1QypSKp2xX Z4moLUGisyLEWHHe32VK+k4uS3DBUmHFmCcVkw45XFjzbQnw4uk48zQqpl52 HVC14iJZ4bIqwZz3XhVXsG4f4yK9j/Vamm6gIS7L5Os6xUWSHj9zRKVp+DOk hx7iyUXyLzcdKtxMQ2rKMau/QVykw9noHktTGsaX7ytPLeUif+ZUi/8KpGHE Ko0kUWluclMHFxKzNLyePG8xNcRN6v67VYzLn477VYvOKU1yk4rR016Ua3Sk lv0bbs/mJo+vsy3WvknHkl8DDQ18PKRlu9SPWyF0nJD5vi+bykM6XT5jtjOJ jvZZBXud9vOQ6mUbdJWQjrrF7satr3jIJtEkLUl+KeT68pMs9eUlEwR5/zbE SaHsBadLlop85M46437eOWnsYcYcFnzLTx4t6m+acd6IJr1n/CPOLScfXxPQ KhWXRfOeMCUqdSVp66W9t6VZDgc+2gdUZguSY7foGpfCFVBFpJmid3wVaZNa eyfxthKuBObJ9snVZIq5gmOtuzLuGbaZkT4kTOoE8wh9CNuMrR8cuG02iZDu rbkxSe2qWHCn3I7OFCFVLW3/me/Zgk58Xj/r6kTJOvp+nh0r1fHU+csFQvFi pGOt7608KQ3c7KxUZ3ZSnFTrUpF4oLkV60U3CXrtWEs67FDvVXbbhm9eXE/Y xCtB7qLVpaWGbsfL3Ir7azskyLUjNacm6zVxZbuvkXv+P6S4XbZr7Got7E2X ikz2W0cKF7bxGO7ciZHy65cVH1pPtva+etx9YxeGxTt9OkmXJEd262Vkv9FG m8hjdUJ/JEkn03NK60Z1kKWfxk5+t4FsuMZ4/YlG4u/e3Zc+3CZI/4CaYr53 JD7S3rLh80kKeWXy5rHuM7qYfdNLxFmZSsavPrrFa9VuvH3olCkvk8OVCr6/ snfj1vbUp7c/08jHwfnLuY7pYaxCQvZnUzpZkX1qjSu3Pl7FkFjTYjoZFlRT kZCvj3s3HEqr3ihFzo9mfLruaIC67p+OigRJkRo837mPCRpiMmG/sZYpRb5J c+IRRkPc+DEj2vyoNKkWtX026PQeDFP+oNj0Tpq82Ll520lhI3SaXNZYpcgg f/ovz2dUGKF93gQ9KJRBGjZuvXLG0xjdrh+cNwlnkNpXt+k4/GuMXgfzW4Qe MMh1zvEr7byN8Q7T635YNIOcXrpeaeFnjC92sOdiHjJIac241h13jJFdttSc /pxBOpQP7BFKMcawJqGQ8k8MUtmq6mBJvTHGPz7rcquKQXqXDScUNBnj4wt1 ekY1DNL95Oax3G/GWCgRNltTxyC7MrnfZrQZY7uNmMuXbwyyanf6n6g/xij3 e73er98MUuCv8NULS8aomu9LfdLLILU6BO548pig1s02tuMfBtn4i53oxmeC ZnIPc/8OcOKzKgYcBE3wvCudOj7OiZetXHv4HxP023WN/XKSQZ4Itr1yQNIE b6769fUCk0GyZNomzCkmGJvzOJjFYpAuMfeX9jBM8FHAMueSWQb5S/t9jL6s CT63cNztN8+pZ1HjTl0FE8yXrqDoLDLIyPGPg9qbTPDdpCyb80ElsfFBhtZm E/wfMya9hw== "]]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesOrigin->{0, 0}, PlotRange->{{0, 10}, {-91.09796565035718, 0}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{{3.5311862220771313`*^9, 3.5311862648680058`*^9}}] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["2D optimization", "Section", CellChangeTimes->{{3.5311861653554316`*^9, 3.5311861764158506`*^9}, { 3.5311864428967524`*^9, 3.5311864440667543`*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{ RowBox[{"2", "x", " ", "y"}], "+", RowBox[{"3", "x"}], "-", RowBox[{"3", SuperscriptBox["x", "2"]}], "-", SuperscriptBox["y", "2"]}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "5"}], ",", "5"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "5"}], ",", "5"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.5311864687147975`*^9, 3.531186474096807*^9}, { 3.5311866182482977`*^9, 3.5311866701963887`*^9}, {3.531186965952963*^9, 3.5311870419094963`*^9}, {3.53118707803916*^9, 3.53118757922124*^9}, { 3.5311876232289176`*^9, 3.53118762467972*^9}, {3.531187992528031*^9, 3.5311880040876513`*^9}}], Cell[BoxData[ Graphics3DBox[GraphicsComplex3DBox[CompressedData[" 1:eJxsnXlcjtn//6OyhLJEC9pRpEVJJd1XQrellEKWSPYlRoMsJbJkyJItS5aG yZZ1yFLcl61BloyEsmRSEaZIlsj9m/vuvN7X5z6/7/xzP3rOca7rep3tfd7n fc6xjJg1ZGJ9LS2tS420tLT/++1+uHmuUtlKxO+nT0aZSlmgKMr1LTbatCDe uCzT16BZf3HrXaMi+camxB8FOXlXW/qK6U1aLYksbED8YIhpTkRsL/GKOp96 xGuK9v+akN1DPK5O/1kBnibXmhdq3l08realxI+vsf/7YUJ3UUv9X14WeMvD dquUSndxb116GXjuvi/JDxNk4h91+ROf65Wjlb6+j3ix7n0E8BOGyyJ8iweI B+ven/igo0nzQ8cGiRvrvpe4UcNhw2qaDxMv1elD/FzyugEJK0fhO4nvOL7r sPJFOH0/dL1ycMmbtHBJZ/zOiCsvFXPkpDO4VtusTnpjepPO4Cvl7zoHV3qS zuCT3JzDvV1dSWfw3cp+FQ8TnEhn8InyUSdc8h1JZ3ArmxJTvTHdSGfwyLjI s2lFPUhncL1RxfnRHgLpTHzC18VRev1IZ/ALBdXBvuP9SWfw1S/ed662DCad wdc1GnrFZVgo6Qw+c4rTL2EBY0hn6Odw7cKclCuSzuCNuPqM3wl/lt/KbCfp DP64QPtnzBQP0hm8b2dt0eGAM+kMbng47azJWzvSGXxoxuvfHQ50JJ3B/Rfc 9kmJtyOdwRd/sx1w0tuZdAY/keR1R8xxJ53B98Q3H+p92od0pvfpPP2XqNVy 0hl8p/nw0d5zAkln8Pov3211mDyUdAbv8+RzWWMzquekk5tf9uiiiUGkM3hR e6eRNbmSzuD1uPqM3z1NxvUpKnEnncG3ZZluCjV3Ip3B/04aEF2Ta0M6g4+4 Uv+ru6456Qzeq2yEa3KwBekMrmMTsrfctxPpDH6lydexOXbdSGfwwqKtN/0v 9ySdwQ/Jl/Xzdu1DOoMnrbN+eMRgEOkM3spy2I3o80NIZ/BzJ9dl6ThSPSc9 Cp33pUYNGCL1I4xXWvt1jjcaSDqDP+b6Z/AnXH3Gb2ZBxaloD0fSGXxexoL2 AZctSWfwPLX+hqQzeCd1v9GSdAYvs77aIceuHekMvlr+McfM1I50Bn87csho 1bgAncGj3bzz08IF0hm8w9GeR6LP+5HO1C/e2DDMwD+QdAa/8eHLe/+lVM/p u9svD/IN/iWYdAb3/KZ1Oq1oEOkM/nq4n37slD6kMzjfP4Mnc/UZv9rGrocN syxIZ3CvjKAE3/HNSGdwX3V91iKdwTtUvT7uf7kJ6Qz+cYYyxiXfnHQGf1aa ds1d15F0Bv9Z2kMWau5JOoNX7fjsWVTiSzqDG57wWFbuO4h0Bp+7vVtMiWEw 6Yzv+9Hrvk/8oxDSGVyxK+zLZPvBpDO4S9d621Kd+5HO4Ly9Ac73z+DRXH3G 7wyvnhfCAhqTzuAj1ToXKaAz+DT5P+d7j3+vgM7gu644ORqsbUE6g98OcT3r kt+BdAaPV7r3TYl3JZ3Bvw8PWV6yWSCdwf/Z9all8C9y0pl0O+g9OecN1XP6 jvljrXYp44ZJ9gTjl1Y51ETUBpLO4GfvhxVGxMpJZ/A6+0EgncF5ewOc75/B e3L1Gb8N1L//ZkFn8AGRXYrjk4tl0Bl8jFr/WgV0BvdVbrfwHd+edAavq/+O pDP4ghuH9A3W9iSdwcvV/U9f0hl8kMx9jFLpTzrjfZNe9xmaMzWUdAb3PBw3 tOiPIaQz+Ny+YY/FgQNJZ3Dr/fu6JT/oTTqDf+fsZ3De3gDn+2fwEVx9xm/v w1earK3+QDqDt8yIPBqX/IB0Br909+UeHcdWpDP4X0bGw1JP2pLO4L/EVSYk VruRzuD2ZUPG1gT2Jp3Bg39sOaBzfADpjPfye+I+rWTzSNIZPNjl92bp60NI Z/DIVcp1mSkBpDP4S6N9jtWpfUlncJ3OY2oaj/EincH3cPYzOG9vgPfh+mdw OVef8ZvrlDgvzPyWDDqDGzgteTzcXI90Bl+uzGwdn2xNOoM/zYuZ4zvehXQG P9j7c1sPXYF0Bt+yauvhtCI/0hnP3+H8s9C/XhjpDN7YZqtV9oVhpDN4oP/v cXbuQaQz+JORfUsrPspJZ5ofqPsfgXQGP8jNB8GHc/YzOG9vgM/g+mfw5lx9 xq+QMbVJlF4D0hnczuZt5sMEC9IZ/MKNgDyXfCfSmXjBfBu7+V6kMz33lcfk ks19pXkye87qD5sP6xwfSzqDj44Ztdmh0wjSGbyB99bNvuODSWfwppGrhyVk DyKdwc/n5J4IC+hDOoN3cFLOMszylMZRxqdy80Fwb85+Brfl7A3wcK5/Bm/O 1Wf8TmsyMEnVjqAzuEnG7YDMFAfSGXz73QHLTd56kM7g1/WXPBNzfEln5Lcm 8We5zuBxpDP4IK+PESV5o0hn8NCtoxqk3xtKOoN7dfIQw9YFks7gb5+1tqy2 lJPO4HqFqf/qHBdIZ/CTnH8DfDA3HwTn7Wfw3Zy9Ac73z+B8fab+wyihcGly V9KZvis8YrjveHfSmeyURlObeaygfpv+nUVI2+MOZRGkM/jj8SPXlV8dQzqD y4d9zIuIDSWdwdfF/XTOrhlCOoMPU9QOsJs/iHQG93pfOiYlvg/pTONMi9my HDsvye5h3Ibzb4Dz80HwSs5+Bu/N2RvgfP8MbszVZ/yeSlLsUvlVoDP4s/uf Pvtf9iGd8f+X39ubqtwzgffXCfHf+jcxrwnn/XVCfuxIrSkzRvH+OiFOtkUr 9uBQ3l8nKHv0MYo9GMj764Qjd++uyn0s5/11gu7OWoPY1z6kM7jx/+2v++89 Nf0b4Ou5+SD4Pc5+Br/F2RvgmVz/DP6Oq8/4FaZZ71DG+Yg71Pn8UCxcYPBV vrGleGzV/pCiEhfiTZxMN2REGoimz518koOdxGvq/D8QX7fGOCE3tAtxy8jW ToUZjZlfzoZ4D/VztUW512GZt6uZeEn9XfnEb4c4tJmSbkTp8fyNKxollhga U3rwder5ph5x/Lveanu7VrG1jsvA16nrZ5UC6fG7/4rN+2iPakoP3llttzyQ geP3/q6KP0LNy2UX6vIlvmHBXWGkeQH9jf/vwPLB3/itb3M5pM/49/T3hrrv kq1i+eBv/E5aUD5pa3ClAn93q9NN0Ik0qhcR+5V4+zr9hUrre5MjYhuJSAd+ Pum6d5ReGxHpG9aVoxBzZc/piqg2lB58tnzyx1v/9cPgrJ4IMVnrz+s4Wouo N/gtXGKj5bGC5sXEX1ueWmknD6R6hf8/YcG2qTXN3ajckf7eur63yn27EUd6 RcDTbakfXKnckX7gL2e3p550IU7+cGWlZfVLN7wH3l/s2rFLtlnBaGoX4M8y 2ibrKMfSe6Oez39dPVplb6B/ANd7L59p6NWVngu+R90P24uoD+AuB84MNVjr TDqgvVTt0+1tsLYL5Q8+zO3Ahcx2nSh/8PXq8cKK8gefqfZXd6L+Cu3rqdoP ZkLpwS+q/dLtKT3eS1aWP/6kdwtKD/4gPKCpt6u+iHoL/uVQ2+fXa9pRf4hy c1aPOx8VSA/eRz2OSPNifN+fartLpPTgc7yCvROrP9A8Du+VUTBzgGt+Bc3f 8O/OMY56Dq7L2gu1W7Qz1j8gH3Ct+btv+JrvILsa3GLThOWJyX/Se6B9/M3p Az6PvT/yATf26vTYy/Vfeh+000usXJAPuB/TDfmACxnjp6UVNaRxBDxE/tQ4 2sOA8kG7/srKC/mAr5PPTdFxNKZ8wLONdnZMyDaidgR+YUde39STvfh+QHi2 YFuL2Nfj+H5ACP2+oXe8Yjy9D3iryUt+TE7vRP0S+Ay3HvX0xljR+4Dv6l3R L6W+FaVHO35sZN7F+3RHEd+P9H2+/dYh1Lwz9WNIP0/p/IsyriPfPwhLcpwT dRzpuyh9QNyOC0cGS9+L77taEJqcuEXqH/D/gys9dSpPdaP2BW414Vpa7rZu fP7irjlt3l9fLa3voN9Y/tuy4ujfAikfcDE593ZEbWdqR+D23749b/zcgdKj f7BR+1usKD34wRs+Y3IO2RBH/9BGbc8YE0d7H6a22xuTnQO+XO3fMySO9t5F bYdL/gG0awuufaFeNGftC+lRbvZcPijnZey5KCfUz4hNNeUVLXvz5SW0ttT/ I1eMoPqPcniTPPm1v48N2V3gevuNR/gWd+DHC8H22nDn4A0+1D+j/CdU6ehc ztEmjnJIVB5/UO77hdo7+LuQM+bRHg+JQ+/6Nk8eR+lJ/Rr5D5NslsvG36H0 0INPL9mhhxPGBLyh/grf/S97LtKDO7H0aF/gARlz/Rv/T39O8332PkgPPoil B4eu1+6WCbmh9cS/1X9nK2zU5fhNcUztD9Elvlv9794plqv92B8UGep8X8rA Z1Y17xdqXkkc/+7R3bfNW2cVycDxq1f4u1V+QuV/36cqxyr61Rp6UaGl9Yr+ 1lXXH6VMa2bbUYPGX5TF1+Uru1WXj+LEWZVfZZ8CHM8tsVbpny9bXfd+9O8q kkJe6435hzh+t3oN178f+oH+Nq3TQVbJ0uN9wKdk+Jd0z39Bf+P34Iy2+2bp 5Svw93x1/awvbNhVpnsv9C3xCC/DUJv+jYTckIu2JYbaIt4P9fRyqc+JKel/ 0XNRbo9XbJnwJfUhvSfyv2F9/vSFlH8Vj1s0n2DTv5WI35mNNsyKWhggolzB q0ee2ZMa5Cp61uVP/GHSv40CUl2Io/97fG3PfmWFK/IVkL6PcuDoXGEs1RP8 O70y592J1d8V4CivFHW7KyO/PPg4tX3yN9Uf8IPq+nyROHTq4+U4P7vmHbUr 8DlXWuq1ziqnegad+nLpwRsVmg+pjPpA6VE+S9hzkR78l4zZR77n5lE7pHqS MfdQtF42lRfKRV7VdF6rrCLqV8EtIu1eXav5R4H6jfoQ6CWrWpndUOTKUaip /0bL3Hu8iPTg91vcORr9zVp8X9DiYEakLspFGOY2/cmRex348hKafl9mk6wt kN1LcQrKpSmGP5zJzgevmaF1Uue4I6XH/D5aHrEi93FXSg8+ZsGDNh4rOhEn f+EV5/FFEy2JY97/Z5KbfXWqKfXP4IGRju3SDVqSfYL+arBTin2OXX2yN2hd pXDvBZf85mRXgBfuqnq+NNmY0mNePk3+yrLEsD2lB78g35CVFm5BdgvGmexd pVNMpttTuxh/otnpjMjm4rakaTrJrRyIP93VptFGmybiLK9lz3QqOtJ3QYes gqhlYQFmIur3x7pyEz+r19PbEjeoK2fF7Kp1h3yLm5P9j3HtSVKgcXZNfeo3 8Pxtaj/GN+pnBimNzymVzYR3BW1an7zUSkT9A/9qHTzDZLoR8XYv9RMjC1sI wuEVn4/csyD7B/XRecnPrnq9A6k/wf/vXFDbND2uu4jxAOlXK3euKjntQuUO nnf588SUjS6UT2Dd+4jD4nb+G2PblfQEnxTXYbNS1pnyj6l7X3GW8uBPfx8T 0g18vpfcKXtha9KHxi8vvx+fUksUaP9o96OVyYOzUv6lv6F3bhOtqR66ldI4 wbhJWU+DXfFvKD3afT4b75AenM8f9VrH5kGPA0VllB58dOTpENd86bk0Di54 fmND8AkqX/DAcHmvnq7PFXge+oOv1g8bORz4TOnBBymPaKcVfSH+uK7eCq9K Hd3KfZtK/QzjMUkdTU3e6lM9AZ+w4EVo7uNWIvIZV9cuhKLwUfFp4aaUD3i/ BTnNcg6ZUD7gOpFNq3bWbyflz/orr/edjqZZ2FD+4K32jyw0G9mB2jWlv/N5 ce58G8oH7XdGuzZ3zWo6UHtH+pbL02Md/rKheti+rv6LsmmXVyd07Eb1EHyp h11yiasz1UPwHTLdCw4Nnam/Rbsw2e+5P9UgnNKjPlu/T54U+sKW+KS6/l+s ST4hy75gSfUZ/GPe9ZzMpxY0zoInx11dnrDSkjjqf2HIuczyq4ZU//F9ozOm /2qYpSuiXuHf5c+vq1fgqCc66n5Vi9o/9Iw6UDsv9Oh4+hvffWFJZZzhch8+ vfjaLGxowuIAsv8xvmC+hvTQc1jEtQbZqwNoHkf9yaxls2uKXPjniqVxv1/O nBlO5Yj+udPL3X9neklxL+De7XqsT2ztSPqDb7gbtyGxu+RHwnsq5INnplxx onJB+u4LYvuHvuhK8zvwrlvHHYge0ZXyx7jwsWDIZ7FJB8of42ZNeOmomsBO lD/SdyjT8wo+IcUzgA97kBRscNSG8sc4skA9Lkt+JPA7O3bcdmnTjuoJ8YIf tkUT29L4gnHq1t1/HjxsaE31B+m1IpctLb9qRvNQ8EWNGtyqONWO3gfjV2FI 97c6x1vT+4BnNrJVOJS1pPcBv6weH/XpfWAPjFTXW6k/R/ojV067ZC9sTu8D 3l0979YnjnZso55HfyV7EvxWk0VOJ73rkb1B62krkmq3Brem9oL0Pw7tPnbE oOn/xFvU8abq+aku5YPvHsTsFuSDcr7O7HbkA95PufPDTbunNK+kdW027uP9 0c/dZO+PfMCbl4knGo/5QuMC7Ew9m2ctUuJ1aN4Nvk33ycqHDbXp/WFHbWY6 IB/YD1Fqv00bygc8O2ja2YiLhtT/E0+63cqgmSH5kSgfxcPTZiNb8/aGkLvn j3OZDhMoH9gnO5UJvYo6WFA+4B5/TQ3J6W9B6dFP7DmY2MXbsCPZyeDltQm7 Hk7uRP4f2IHwL+E9kP8nVb/aSuD7eWFliyC99IZSXAH6Md2cjg4eW5ypX6L+ 5Gvr4mg7aRwhe/t28+mpSVI8JMaLg7OvLvJd1oXSo9+w0fMx8ijpSPY5/EXb bri+joi1JY52ffjuwHPlV6W4HYwjl23NhGxTS8of6V2X/zjk6yvFB2J8+S3e O9HwRxtKj3YaOm9lv/jhRtSuyZ7vGrihJK8F2YH4PSyP/UO1DoK/8d2vjCzG GqxtI/WTrB1gXQkc7XsN8+fAHkD6Crb+QvHMjBsyfy/qM9qTIfMzwE5AO5jJ 1l8o3oLxIcyvi/qG/JrbFJ+anF6f7A281zm27oN8wP8MOb74iEFDyge/S0K2 52g71tL8EfX3h3Xok1ZZ1fT+mB/lle4fvTVYqcBz8Zsb4hn6v3E24Bncc5G/ Pnt/pIe9l9ZXUebetwWlR/8wx6Ph72l7W9C8Cb9Rcb+GRul1JD8e+P6C9wMe JphL81aW/5QVMYvFgW3pubAPMx45V/eaI9mTNI9rpLvVrKAdPRf+xtL253OO GHSi54J7dq6fGHbXkp6L/JubGWxPPGMhIh36g/DPG63ik11onRfcPqvYzLfY UcR7oz9Y1+LIOffrXUW0Q/iBbwSlbYvSc6P1bvCVMSfHGdzpJmLcgv0QeiLG I9mlG/UDyC8ha8N71biM8Qbjb1ebTrtK8iypveO3Q+eKOXbzO1E+4HvjdBuO r7WgfPD8/UnpK6NWS/YD2mVRwZKuycF6ZJ/g381dUPD2YYIutV+0yyS2Xkxx EYzz+eA3TXnVrDJKiu8kvyxbh8K4j99lRg1+9XZ9Tn+j/b5ifj88D+10LVun Rv7gWBdDPhif9zK/ItoJ6lET9bhpSPMLjJu9I0+eEwe2oP4Q49jo0jNDvG26 U32An9/01cXpqvhb1AfwPbKOi1R2JsoD9t4v8l3dDPyl+Cg8Z5ra//+G/Gz4 vbNiewNdx2IpLpbxdm9Ueu4lewO6NWZ+MHD0K1GcPw3tD/5epAeXM7sF/RXN Wx1jFkd6nKH+Cu2mUVWBrmGWAfXP4DZuSQ0NvZqRHYL2Pjmj2li1boJ80H4f W2cFOnQyo3zAP6YFPf/0UupPyG82+9lkw6fWNK/EOB77+9szLhmdqD/Bcz9b 5+50GWYrorxhD2yUe1Zcv9CR6jPG/d9ihlZF7HKm+g/e49HzX3M8nCk9xvf1 Nz5OTGggjcvgNv4HLaov25Ldi/G6PPnQNLtz1lQfwJssNjkVNtOK0mO83i7/ tjeznRGlBx/8p9m+sHWtiZP/X70OpUP2KupbfTYfRLmDN2V2JjjqG/ylaM9o R6OYPY96hf74ijqOUbKrwZsxuxrzPYpnYPNK5IP2emDNwTtmOxpQPUG//jhM /1RFN1Oy39Cfw37D96PdbWuS8sFsZGfi0NlwsuxYmL4tcfTDt5JW2Hj07Uj9 AP7/BXnDgdWWrYjTfKHQzMx8Rwuyl1Bu8JPj/cHhT0a7Qv2dlmRzap6Hkjj6 pymMQ0fU33NGm4PKr5qIkj+ozg5flXTYTDV/RDtEPe/j9cHB8EcX+l6MX+X9 zp1KEyX/J3jysVZnok3sxU/q/KsVx5JNbAoz9MV+jXd1Lzoj2bHoFztWprSa MkPyf4JP/fH8Z4ytsShT/12sKFCXm7Z47eQHpf84IypflLutckvgT+V78muB 5xkdbVzu+1ERrv7+r7INvVt4FWboCE0n6xe28qoi3dDuB8W9PLTUqAn18+Ar FWNHps5uKZqqdaknLNRtk5IRqSc8mxM1KuqwZBehvmUEjf/n+oU2lA/4CUO/ pS5bTSifbhOa/ZS3bC4smrKnuleeCemMep7WPfVmuYu0LgN+9txsncqIbqTz oK4GvQvdWoqzf74qe1ghzS8wvqwbe0e7cog16QxurXP6nUuGFel8Lc/wmlLZ SExev+NP5T1Leh/MOzZMLwutOdGF/G+0zszWE6E7+uMC5oeHDiifPmzcRHr0 0/w4i99z4YP274zXp/4ZdplBWZ8z4sCO1D+jPrtFTt1icsRanFZX7lQPhx/f NzDHpKtop87nDdWrqLHnz5Vbm4jldXpSPbHtrGWT2e6/+qMeV7So3GOC/NYN OaFP9RDtZWRV3yE5U61FpEf55npuDXFIMKb3QXk9fdOmTWx4N3of6O+aPGrY SQcr6t9onahqibLxc0OKM6R4ib62t/3ruYt4D/yeCLlWuzTak+a54HO+5gx3 6NFLWh9hdlMsi0Oj+Bs2PmCdBeWHfgnrmKj/GDeC2XoWyhfjwAIWtwaO+pPJ 1l9Q3sinhq1ToNzx72Dng2N84esDfq/ctbYq+sOK7Hz8duxUOaXE0IU4dP2k 8k92dxFRn6Db3YAb/ikRzlTutH50sH1amIMllRfeJ/HHXNMpM1qQ3Y/26+Yf nKCKz8f8Hzzkidliw6dy8ofi1yn4fafgvQNoXkzzSxaHhnICN2JxIygn6JrO /GYoD3z3LyxuDeUBHv7rzSyT6VZkD0CPIGX7DjWB7ej9MD4bH7VUpJ0YQPUQ 421co672dts8iaM+7l865uaROE/SB/bzBf0RixJK+4qYFyF/+8j323PlfuK/ m/XzlXHSfnahTYMHLpf6i7CfwE1PJzyK/uYrXmHtCvnbjLiVXz5eII70SZf3 bstM8WbptCn9vR1jzatTPYkj/RzFuuvyjT3Yc2vJ/pdvapsettiNpS8m/ruq njxHHL50LkJrFrfM0tN5Ajtf1T4syPCm9Hgu4smRHrzBnKfWwU6I666ifPLG Jf+ZOdqXuOZ+dm+8P6XfZf18V/kyOXGkP6ry8z9FPhTHJR7o8cCuJjeAOO33 N49+U5DRHzpT+pqAzC6qfffgSO/UaFiNOCoQ5UjpfbtM2BQ2czhxpL976K9c nVkhqA+UvmqdU9VWv9HEkT5xTvOv7q1HUP3BuObc9tf5hu0GUP0BH6Rlfij3 sVR/wAfP+vi5YF4vqg/gifHaL6R9Flpa4EFsnwXKC7wkVatE57gTlQv4gSPR 72Jeu5H+4P+OGNgjI1JGOoOPzr8Yodo/CD3BdYYsH5hxdCDpBv51/Y9pNSeC SB/wphb69fTMhpE+8AdWHmnbMbhS0of2j7cd4Zrt2Yf0AV+S+dsNl2GSPuDG bP4LHcDP3+0RWeLakXQAH7pW56lqHxx0AP8S+P1ljK076QC+bvSBLVF6PqQD eHGEclRCRz/SATwmU/dazJQA0gG8s8uzSXZTgkkH2lfeZPJaB79BpAN4WAO3 Bf+jP/GOaZOaZXtK/Qk4dEC/Ad5ubbHpFPvOpI+0b73rgrB1pqQP+BvTY7G5 oR1JH/DZpZXKmNfOpA/4x/GTddT7xJk+4N97t++o2r8PfcB9Op6ZnvqhP+kD Xnw01i65KpD0gZ/JuOfQY2kWAaQP7SsXz0QnrOxH+oDvSb72j7ylQPqAr2Ht CPqAn/t0OjojUtIHvKCg/q0j6xuTPuCDFsh7lWw2JX3AFa6hVpGj7Egf8J5H rwfW5LqSPuQ/e5UZrJTJSB9wIbzhnYjavqQP+K8WL5LSlviTPnSeQbtfr4V5 U/9GfGj/x46qfdbQB3zikfnzc37zIX3Ao7hxB7zX9haZ0eftoQNxt2+xxWJO e9IN/Gd4eMXek68V0A38QcHi659S9Ug38OVPRnQJrrQg3cAr7R5YZEQ6km7g p17G3/X38SDdKA536o8ycU1v0g18xOmJqzNTqL6RXbNZe+26jKNBpBv4gdRd qZlPB5Bu4BPX3furfBmNU8Rvs3EcuoGHXIz5qOpnoBt4VqP3LSqjLEk38M8F W4u8XV/JoBt4aKTL0IcJlQroBt7exnxz9LdWpBt4kFvaStX+L+gG7h27Puuh nyvpBv5kme2CaA8Z6Qa+0Gi9V2TPfqQb7DidIfPPhI0JJt3AXW/q3hFz/Ek3 8D3Czdw0rX6kG3iK4bx3KjsEuoHHDspYaHfOhXQDv6r2e6M/LybueKDbCrv5 LUlPcHeb99bzPSpJT/D7u8rG9dK9J4Oe4Cuv7F6i8vNATyneuW4eAT3Bvc6+ bK/aPwU9Ka75wa4taeGepCftZ+8/6qDKXoKemM82b9TdIzhwKOkJXju20YiT uwNJT/BWVyZuUirlpCf4rDZT26j2r0FPiitc2H1exnuy34ifelSuOyXdnvSk uMJG8kGqfZrQE7zs7oPEUsPHpCe4wOJXoSd4cXhoabf8GgX0BH/D5u/QE3ys edUr65udSU/wepdDOxisdSM9wacOvHUnTcuH9KT1tA5XTZKXkV1H/GfvsQdz tw0hPcEvt/zDoHrpINIT/NYHj1/svvYhPcE796t5FWPbi/QE7+v/zH5KOtnP xG+q87EhPem8B7Vf4hP1k+BBSsXZ9Tb3qb2Df7S+o1TkfCU9wY2ZfwN6gts3 OzYnsboj6Qnu4z/C9uQlF9ITPNL93AiV3Q496fyJI1bD7b6OID3Bd65NCPHO CyE9wUO2X/3d1zeQ9KT91ClHl6nOcYKe4KGh8eNV5z5BT3CbO3q3Hjak+Qvx Xu0KLYpKupKe4Ibzpn3U9zeg8Rr8PlvHhJ7g5mV3Okat1qb2Dt6G6QndwD9H 79mdWO1MuoHHzrdck7a3J+kGP9Kr5OAPjY+NJt3A82RLw2oCh5Nu4CXNV5oW rhxCuoE7tLkWGLpnEOlG+YzurF84rC/pBj7vbWxBzBRv0g389mXtpzqzXGke AT6Am0fQ/uhnsfdV+9mhJ3hrm3Ftgn+Rxh36XtauoRu4mU+XVanOkm4UZzs8 19HuqwfpBr/H+HdDX7v/MZZ0Az8yYtBVHYORpBt4y0qTCrHJUNINfOfxS9Mj dwaSbuC/Oc2NMozpT7qBm6n3ffcm3cDfbXphqrJvoRu4JTdfBl/5uv6Dio+2 pBv4OebPgW7SuQt14wt0wPrRJO3M2TnTx5EO4JaFr1eE6Yfx/gfhuVucRfX9 4byfQbiY+a5JrG0w6QAe8yBiQ7l1AOkArli643BmOz/SAbxP/JJJkT19SAfa d/N/+xmEJIM3LQrdupEO4LYuepcqorrw83HhtsrPf74b6YBf/zfTG+plSH4Y +Id4P8xA5v88VR795ogjzWfJD7b8+h9bch+70/u7snl9S+7937PnXtZZcT9J x53en/mZxCvz7TYbthPIjh3Anusy94DBlJi+VL4L2HMzor1G+VoPov754HWD YxnvW4o2wpyewY2GkA75zB8176+hJ+W/S/Plj5OMB9n0byaOn6w3IPK7pAN+ J6aVt4i9IemQzvzSOip774A0X27M/GHXWfwAvvcDy/+tTdM78iHO9L0BLH+L Ozf8aja40/ceYfnf2KQocelI8wihEcu/+V8no6MG+NH3utT5q8VpWplP3M/Q PA7xEuKbPe9X+P5J82Jhw49m02xuNhfTejdOcDgeSjo02t/qnXxjQ9Ehx9g+ /i/Jb4B1tPr6WTNzGkt+A/zmHH1X36ODpIM5W6cw4vwGDVn+zxeapplM70Q6 TGD5O/stL9CpcCYdLrP87bWry93/ID+eYMby/6Pkpr/3p96kQ0ydn1+8Ntjp 8+SnVI6IVxFrXgw7m6gr+U/c3IzmRBY2EU3bpv43qxxKOpjVrfOI3vcdfzTW l/wGWId90sdpRcYdSYfHbD1Cl6sP+F0U804/wEfSoT3Lf+f9wc5289uRDgtZ /lMVepeT9tuSDo9Y/r1iT8T6aruSDq4s/7K0xpn+Pt6kw8a6dRBxxEz5bZeV fUmHf9m6Z6CB9Rp5N5rnCoN+bWm40aaB2GWU3tqolpL/ZDJb91iV9maFwyN/ 0sGarS+9GeA31NtQ8g8UqnX+ruD7h60sjuXMwPU3yq9KOkxk+a8LqP9X4zFN SQdzln/0mrVHY6aYkQ5PWP5Lu4xvaHDHnnTYjP3UFtf9Q/f0IB3QH3carT06 5ZQP6dCIxWu86tpznMpvDx0i6tZ/xMf1+7bVS5P8JDZsnWdlh32voltIfoAU tl7nalHvRcQzao9iM3X+FYpp3/++FvZc8pOILO4m4nx0tTiQ/ISKRepy/6iw aV5RP/2e5CcxZ8/dbVR/37fcf8mO3cSea/Xy0thQ8+akTyP23F+2V35rvNua 8+t+UCz0yA5Oqd+N9MFzx3S7MsD3qhfp48LGq1NtP1fGNJL8JJVs3dLX5vem RdWDSJ+69fAMxcQXVsVp86X5/i22Tn7uWpiVjZ00389Wv899xencxID4A71J n2NsnQTjCPTZpv7ep4olbxWjVfHb0Ocwe26b3U1qcuz+oXlTGnvunCumMZPT v5Bdeok990zQ7vWq/drQ5zB7bnGRyQ6X/M6cP/ap4uWAq4EJHXuQPllsPfbC 42DP+LM+Un/CxvMWLcNS5FaSP8SJve9LrTneNpbSvP4cW3ea5x5mHv+Fxi9x Xd1zZR5z3yT5VvUhfdLY+o/xLyaHTKZ7kT5173Nf9rLeuruZMTS+MHs+W7ZZ Ns620M2Ksx/+s+uvdEs+6f2BdBPZ+wyPrIur1PRjP5WF977dPrG6CenGyksW x9YHoRvTWfa4nt4tnfXdSLcL7H0+3zy4UP53L9Lt97pylJncu1Dif5/qG4t3 qJbV/Lb1c4WeNH93Zu979qJymreNNH+vswc+yr68fr0u9bIf6XaJxSUljX5j FLCU7AoFay+yeen1/tEx6E66bWbrZvnDL05RxflDL1b/ZYZcfcPv65C6/bBc u5MtZPGo0Kcxe27CMfvI6G9dSZ9t7Ln/Lqmouu5Jdjsb797IRo3KfF1RX/Jv jGPr1ScWrm6i5ybNxxuwdd3cflbWevrSfDyAlWdFlzV9U1oOJH1Y/ykbnPva MH2wL+nD+ltZXPWFKQlpHqQP659lWkf3r0+c60B27AQWr7FWf2y74F8kvyXr V4U9XD+mx97Tl9U3zfWRH7JrLP4WuuF9+mzNtVftx4Fulux9RuQvKoo52J10 w/s8yhjzh8NZgXRj452g/WBwbNTv0rybjY/Cyh5t3G08pHk3G08FK+/cMy6l tF4msvFX8Gu1Jidtbz/SjY3Xwven5yN8fWWkGxvfhd/2rLkr/9uF9PFn7/Op 1GlaZjtpHKzEvh6bun1h0Ae/T1mcMHRYxPLvcctfiGwr+R+YvSEYX+3fw/Ap tTuR2T9C1cbSgXaB0jwa8URP1hceSvxjGOnA7CvhL4OnFS67g3h7T1jYIben 95wBpAPKbZ6zcnLKx96kw0S2vt8gYfUNnVkeVH+Y/Sksm/nbFbGJI+nTg71n CmcvFbD31GdxidCB2avC6tETWyVvkubFyP+L6ryawZI/gdnDQtyFgGgHmTQv RlzizcFR832DR5AOzN4WTKakjkvRC+Htf6GkwbmJUbcCSAc2XxAO+vZ57JLd j3QYzN534coy09hGAunA5iPCpd2+o1KsupMOSew9efs5gr1nIYurxHc1HNPc dOP+VsK27c8SM7pL81zadxxdsE/eezR916G6eZOgZ+vuFHxuGD+/E7JHpe5P vR9E38XiYYTWHezrT2k3kL6LzR+Fo9vs10jrzsUKlMMxm1U3kq71pHmigs3T +fVxvH/+YmGCKn4D3/uEvf/fwz0m+I4nO1mBed+l3RPa6T2X1un82fyxnXo+ 60Ic8ya3v4b1SvaleYfiBJt/2cwusYg9KK0vMJ3FTWwfMfgQpusUtu8VnNVP cRrbXww+lc132qnnRzbEWXsXbVl8OHgcmxcMnHZgd0akBXHWfyp2sDhwcDtm P18f6f5LQjb5mRWzmL19V82bEndhdmbz/VuzHA40IC5vWmdffSiy3Jd6shGV 117mH3Zl55eiXOLY+HVMrrd4efIDsh9yWb+9YkVC4spsyR77m/WTvspdI2YU fpf8sazfMHdKOPrJEv4XbRaH1li4zMYFpD/A2le7zm4TlLLWlF6Htce5bPwF n8+dxwXdHjH/wAN2rgK4GfNLLGP7SaGPbl39FPP6GFyTt5TGHfBhmXPtIgtH SfYza5ff1g9Y5hAtxTNsZPPxYyMil0fd6s+3C5H3g21i6Sf8pnyumkcg/TYW DzCU+RtRnzEvtp8X5GkQ2ZV4Nmv3Mm79EXGGo91mNIs92IHy34z4Cs6f2ZPN o63yjXepzgWFPogL3Tt99s+YG8aUPojNNyPU8Q8dKD32OyzO8P7FwL85pZ/M 5mWtOj1tX1RiTPXNkNX/O+rzPK3pPbG/oRvbL4D0MvZ9I9Xrd0aUHvFZkWz/ AtLnMTv/gbq+Ubug+OguC3qsC66sIHsa8e8zlBaXIwvfUv3/5Fhn7y1dUPJt Z/369NzDrB15s3YEfoGtF7Rl59Yif8T3vZ1h7fstN4/eEzyTnTeCfNKY/9yN ncuK9Hz8reb7NBBwDwL4BuZP7qdR7lX/c+5W3bozOOLQ8lj8Nuo/84MJERU/ /y7IkOzbdWxc+/rgml9JiOSvfsf+f5n2DY9k7XDeHygoVevCPpbEMU7N9/hj o4OfFdmNGKc+WEToGUTa8n5CoWzJ0dmqfXZcPJKwShVntVt6H8bFz9b7tjlU 9Kd6S+fjdVparPNCWp9CfJxHxvw3MfIupCe4EztvCukpvjfvyPqSa1aUHvyI xnlTWlpoX6Ya501paaEdjWTnTaH+gF9ZM6c6xrYVcbQXp4zB5qkn4b8upvjS EzNU9vlRmuegnjuxdUmkR7168ehmn5oN2pQ/6skAt9eNsi+04fxdLYVFyl8/ FnzuQP0zOD+vBP+2L/LjkObU/1CcyeIVi0sjavWI03l+kVZpqv0I0IfiN9g5 51oa/+VlFavH4YdZmuNdqawHlx7rpO4a4+B/38v8MFq7Ves1X0nP18z/cPKM Srd7pFskm187c+vpXdjvS415ZZVMi82bKti8SbP9lioE7j3/ZuW4h/Vvmt/7 Kusl973wh/Tn+sPWbJ7lp1Hu5K+TeWhyBbPTxEfceIp2hHOK8FzEufdl5wtB n/6sPGPUcRpFxLcw/8wJo449V1WfJK7H/AlnQ44eten/mnQWmV8ivsngcbFT /iWOeNtQ1m+DN2Hzbs04h2IZ5u/LuXwQb9udGxdGsnnogwzNci9gdtE27v0R r11ic3/z8MoLpDPF4XP6z2PzPi+234TzJwvhHKdzZRgn/yGbH21d0WrHkfU6 1K8eZv2klU38I7GLNXFm5wj3VHEmw6T2G8PaabyGfQV/dSthLjs/EHYI4jzl dyKbma+m9SzizXYWW6c7UjyhdK7RwCbXXNwcKT342Ra9Jtudo/VB2h/t2dk7 MrKtZO8hLq6/cvOf8pbm1G+An7yxrCjNQlr3x7gw4Ee3CZkxXSifCWxesJOb FzzHfkAN+7+Y3mf2jeem8Y/MiMMPb1llkxSmT/4TRTLz589Qzy9MicNfnXJl RnPzArITFCOZTsPfn1pZ07wFtS/0k305e+Mw4v04fpONC7007aj/7/wxcKxn jdOYBxUrrNh6R6fJN4OLOrQmjnWTi2x/EJ57ifVj47l+TMHex0bjfYplvzC/ 30uN9l4lK2f+k9fsXB3U21jmx7hSUCP2Ot2E6nM35md42qLAuqiD5Fd3ZfP9 sl3dx4XpGxOH3XK/6JFR6Ni2xDG/Xlkxro2Nhw3Vf3BDdo4NdMO6Zxw3v2jK 1staquu/hVQ/md2+me330RzXPisGceW4hY37gzXtAWpfw5plxNZYOBHH+uCt 8Hc/rhdI9okbmy8vadRpTdhMKa4J8f6nEmZ9nZxC/nlqj0oL26TU+1L9x7rb hbsLKsQjkv2/lM1TDvYd3qP6sjVx7O/zDrvrd/IYxfnQPr7wF798L9jalr4X 7UvG2bHMvhV7ctyT2VEWnB2F/OPYeSl4Lvb7tlw8ytWjRGpf6Dc6M7sdXGTc huN7WLmMZ+UCjvw9NM5FwXtK56Kg/tewdZnV6n5VmqcsZOs734xc5vkWS/YJ 8qni7DSMvz+ShrwZdPk+tTvEL5lz8xFj5le8vEvTzmHtWuCfi3HHO66wUcb7 HzQehTN/nRY75wScrQsLzTmO/UENOT6A+dOmsnNOwFm/xMYdiWNfzCzG0X7h f5ua4TZZtX8QHPODfOuFd4eckNYlMS54Fg3t4j2hI7V38PlsvMO/R1xKe//P ryZ7edC4hnVbxEuDP2X9ZFsWZ05+RVaf+6nW9SK6UP3Eev2Tnx90L3+X+g2s Xy8e6zsmsifpQP364KyPP/wvtyV+gK0zXtbwI1WRvf3O+tqIlPpSuzjI7K4p cZPbqOYrNK9h5X9OHZfbgnhd7crLWievUlZ8bCTtm2B22qiuhscfJjSn8sK8 ew+L3wNPZ+tWnjM01xFOs3nKcub/Qf6YvzQu3LMyolaLmz9+lB0pmPmn8duf NF6UsHWf0cxPhfxXs3n3Lc4fhfn4Ms7fhd+mZT4m/pel8SiMrY8sYunxXdjv +9la0//vyH6fa/j/a2n+5eJlJ7woqaX8sX5xiPsuOVt3mMH8EpSezfe99EIc Inu2kPYdsF+LAwN72YXaEJ/PxtP9U4KcVfNTvCfmfVe5dRzwipGnp6vOf0N6 C8ax7gO+nr3PS434t1rpXJGDnwqXfpHW1+Bv39w36UREWAfizmwcD8z3GJPq LLVT+CsWcOt04MrwnJ6hCsm+1cP5/5xfMYu9D/ZFYj2C+Q+FPLYPkYtHEpJU 45ebtE6Kea5sWv0nSddoPwiLKzAQ/9KIL5LOLclmHP0D+J+6Qf2rP0j2M/yH X4Yryx8aSfY2/AlD1Haj5H/+xMZBe+aXRj747TNslk7sFMnf+IrFaRRdFMbl HCJ/Efn3xl1pfOdhQ8lfDT/eHg0/djGdZ1JaoPfAZHpD4ohDyDHaej5xrtTP LGfjndXho4kZ7xtS/mxdm9tPUaX4zOIE+mn41Yvp/JNZXtfHFk2U/OH4/b4r 7l1auC7xi2we6sL5GdBfDfg/591aWqPV/y6L5t3xLL0Dl34r8z/YcfbwYS5/ vA+LG5FNm/fQO7tGmhegH7uu3k9hSu9J5+Uzu1oz/1KZjHvuGZa+pYYdrs3i ghpz+8Wkc1SMuP1T4JdHGh03aSL5peFPnn1DWVix0YHek87/Y+eogOM8hpyy uvNSYG9gX2+TUeM8x9dK83fpHKm4Zq2zSoj3Y/2KEednwD5pi6roK7fsyqh/ Bj+gsX5dJctn65I1H+vWJcGxrqpTpcnD2frdXbZ+B471xzzGNeMrWgjPTAd6 JnSU9qHAX+rntuJ6zKpOUntBvMCGyxO9r0l2PuIqQyqb3jFpK/ktEf/50m6H S/J0aT7ymcUxzlNE6hTmS/kjXtHmxDiT6nrSvA/rjQWr/X29X9lSOR5jdosv Z4cjri+N83PCnmnGzksBv8bsakfOrkZcXCvOnof9M0TjHBUtLZyXcIKdo4Jy R30b8H7K9xOXqqg+oL59O7S/dKNNIfnfEK/uoeFvL5atZeNvBGefY3wfrbjh ndFV2gc3kvmjNnJ+m8OMh3N+GxZHJ6tm+xfAse5fxe1rOMLF4YNvYeNsKRtn 0U9iHNnKzgmheRmzS/9i83d6LhvH9wU9bhR1qzFxjKemq5fmFGyV7E/+fAzk j/WpHWyeS/GN7D1Hzvv38/UCyQ55x+z2Tp2Hd4j8TvNrGeI0vNl6B3hbNi6H sPMfwLF+PUqDF8vqM//YpIwL00PHkh0rw/OnfhttFXzCkOx8jONbxl+9FSNI 6x20zlB12d/QXuJY12irOS+QXWLjS+iPFvtU9jm4BevntzF/HcpxMRsXVnL+ c8SlxOy57pcRKdlFqJ9FPT6VT7aXON1Xpt9+R/R2SWfoAPsNdgt+49X7DaV9 W2NZP4Z9CuDox3R3qtZxJG7K9H+gaS/ReQIr712OiBzVh9ZlUH9cfffuDsuW 4u5wXocPO2dAs3+rJ/xue2ylYZbkf4A9bKveD2JP/QPsan2uP2HzeoGf1zux 9I249Gz9VAjg1k/fs3o7QL1vWuoPL2LfBB8XwdrR2HlR32NuWPPxHqLBrZn1 Cp9LOiAuorumPkID5r89f/ovn4xYqR7C36t9oHNM5iDaB0rrX/IT10Z7L+9D f+M5TRve2ZAwUrovGLwwdfXqhHnSfe7genofzap9etL+avBzR/bEJ6RhXSAv C/zF6bU35N1caH8j+NerizclPnSnfXoU3zTcYrT3NYH2m1F894WpOxP/6Ef7 psDPrN7Z8KR+AO0LAl/0amTuw7hg2vcC/qvnaBfvLOk+X+hkuTYhPfMH3b9M /ElHc3tVXDH0AR/YzDzCoKukD7jv516/Rd3yoO8F/2a68A+Hsm70veA3TMeu SDzjKd23ivQLV4/Nudmbvhe8V77/oTSxP30vePK9Hwbp5kH0veAl5dkvK6wQ F9SKuH4v3Vtm5aOke+dZvz34t2vO8Qn9SQfwVp8vl6TZBkn30TPecfP7a4l9 JR3AQ0x+Ni5sI+kAvjvowc7oBV2k++IZ/3bxwxRV/aH74hlffOxWmHKPt3Rf PONOvTzzk/L6SvfFM35nQ3TnmiJ/6b54xpseujs05QLdV048UXyYniYfwd23 qC2+3tuztyouDjqA/5blGmf3OIi7h1FbjHT7fEqp6M3dw6gtev3aLdWhkwd3 D6O2WH1o4wzDLEfu/kRt8VvBDpMp6Vbc/YnaorbTh+sFGQ7c/Yna4kv1veHu 3P2J2uJ6Rfi6qAG9ufsTtcUnuxzFpFf9ufsTtcU3c35d77ssiPQBVwT5DrV7 PIxrL7WKdw/ePau4MpBrL7WK0xv6PE87N4RrL7UKs0/u9lNSfLn2Uquo0S4M iPwu6QPe8bOdd+RO/pzeWsXQtb/fVu0X02xftYrkVaNqJ89ow7WvWoUYVFYa c7AD175qFabXNj5P0nHh2let4tSF+H1Jfby59lWrCMq2fGk2oB/XvmoVn1Om tc/5FsC1r1rFwUr/q2nbQrh6VaUYbfVYJ/lXf65eVSm2RH2ob34rmKtXVYqe d844ZRf04epVlWJDzpeWyZt6cvWqSqH9OMQsYKkTd79nFZ1Hqnm/Z5UiUT51 pGreplnfqhTDr6yZWu7bjqtvVYqhvQcsVcUdada3KkX7rucEu3PuXH2rUrjq BaxNbeHL1bcqxcrptgd0Bg/k6luVwm9X9Wez1UM43YoV7om1GS4rB3O6FSvs I3q+T2o6lNOtWHHt8gzRZFE/TrdixY+bq94fqejF6VasuPW20encr86cbsWK V/f/POhrbcXpVqzQ29/UKH19YxrvwKPUdsIThWa7Lla8U58nXKLQ1LlYsSrL ZGxCv+aczsUKm2nDo1I/2HA6FyvG5o/7dKTChdO5WBE/9fQ1k54Cp/N/fKhF lksDOadzsWLncM/KpPRA0hn2i0J9f3cgr7+sycrWh3N/GUL6I/2CsVa7lHHD +HKRzUoWnifZh1K5IP25+2GFEbFyvrxkP4ddNK7+MIDKC+nr7mcX+HKUbTJw 1zNf3ZvKEemnqO9jdeXLV3Z4uluQd0gPKl+kz0saEF2Ta8OXu0y/0857D/2k 80KRXlCfj92Mrw8yrVH54apz11EfkP5dTL11Njcrs1AfwIdx98WDD+Hu1waX sfuIuXoiu5X3dVbiXENpXzr7r0J9r7EjX39kU+tX73DZakf1B+mjbxzSN1jb k69XsvUH/3ocs6oH1SukfzNyyGjVOTxcfZPte/jRLPsw3R9N6QfK3Mcolf58 PZSd7DPtp7XJQL6flOknbTf3aB3C1asqmemz76/M9Eby/aTs5JdhL2Nu+PP9 pKzKc/yJsH/78P2k7Nqj46F27j35flL2xS4vJKGfI99Pyrwy8oar4ti5fk+2 UfdBSePnNny/J4tTjDivOleE6/dkN6bfmWG3TeB0qJItm5hv571Zzo+zsuxD F0amlA8lHcBjnEJOphmP5sdZWdmILaaxSwL5cVZ2aemNl0mn/fhxVnZ64a55 yhcyfpyV+d1ZuCxhkgt3Xm6tbPrnoDzVfVio5+DV1sLQEsNm/HgqmzZve1jG UUt+PJX1bRZ+wiTHmR9PZSc8r63RudeL9AG/nBpT5D+7H2+nCa6580fVVA7n 6om2sCmpv69d6BjeThPS+7ZbneE/hLfThE/Fk3erz7fRtNME78NxQ4v+6M3V E21hapYySnV+iGY90RYmKFPtTnp34e0xoSJEXt9D14K3x4TipIKL8pb8fdba wsG8cSGpzj15e0yYpvZX9OHtdmG4Tp5lsO1I3m4XnLRm+gdPCOftdqGjTFCU Dwzh7XZh6zif0oJJAaQD+RtOlS/MuNiXdAAf98/X+bnuvaRzlxjX7fl+aJFu N6on4I2eTzDxuG7NzwuEps/L3pgVtOTtf8Gv93V5xcdmvP0v5Hdc0c5hsjlv /wtHd2y8et3Tgbf/heg/fnWxC/UgPcEXz4iu8A/y5eeDgnO/20fTNozm2l0z YfYl3dEGZ8bx80FhWL96F0wWDePng8KQ2MNPo+2CuHbXTJDnr+8S36M/fw+F sN38z1vl+3z4c6oF56OxXVXnDWq2u2aC4fsc75pAe36+KRyPf3hAKbPg54+C y4HP+0y68O2xmdA7LtRddd8cN38U2h39ZpvS251rj80EvbvOMYaDepNu8EMo toxTfrIby/sThJ6jxi70LQzl/QnC2uH3m8QGBvP+BCGy9azJvq38SR/wGW+s X0U060v6gDsNi2970qwX6QNe8n/7H4TXzx7sNjliy/sfhEfHvt1I07Lk/Q/C 8+yMVzO+m/H+B+GA7aZJUZ1teP+DsDv6795h/zrw/gch7dKIqbmve5Ce4L+s W9vX4IwPnWsAf0ViWapS7OJL+/zB3zwwbZ090ov2vYPbj1z3PiKsuziF7Ruh fZmuOhcdhjuLHdi+EfCS2Sb9bRY4iQVsXy7lc3Z7TcWpbrSfE7x06sru2Z0F 2scIbqzodtyksC/t0wP/tvSvoapyxL41cN8Rv29OfTOE9nGBh9s+3JzYLJT2 QYE/Nzp+3f9DGJ1rAD9G6ofwvyN6edE+f/AGl0LScx+70H5m8HnXd4uq/cLY bwl+wX3FmcShPrSfEHzjfP05UeV+tL8OvGkr0TFZO5D2m4Hvt3jfs+hhiMj2 pRA3mrhujOGMkXTuAPwPPUy3zM2Z6iImMX8u+CTvrwO9+/jS/j3w4iljBmdc HED72cBXLsmXxb8Iov1g4HO1o2Ya2gyn/fyY129i99dgHyD5PRa++FrwuS/t iwPX22DlUxISwN3jrC3ObNypMKJ9CM7XoPmvz7+eWRGR/eHPJa4bfXS/cngQ ziuhed8v2/S2PjwgnW+AeQr2ZeP8EdiNRWxfNs7pAK/yfrYo1XKQiHMrwB+8 uXAgd5WviHMcwBU69eulV7iLbN8p2fMTrS4ZZ1/oImI/P7juK5ds1TnJLG6G +GL1/RflWOem9clHZ/y7jog9h7hPsns3yYqvVUS1ELGPFPyr1mcH1f5l7J8E D5l0xcHb0E3EfkLw3I7BOukKH2ov4LarupoZ1PYXEd8JOzOD7b/G+R3gffbd N5nS1E/EeRbgG2Ybtw4+4S3ifAeyq6PHBMYP78b2Ib8jHvFn+a3MdlYi9vOD Pzfa51idqiti/zB4e3YPDvbNghffj/7LJd9CxH5R8NTfLa6k7XUWsX8S/Omy 9znu13uJTzTujaqS9dp7PTkzpp+Ic0koLoztp8Y5HWSvenveNcnsLeLcCvBO sfsaFub3EHFeA/jBk/22h63rLGayfQLgv8pyj6rug0AcD/hUReO1Yo6xiHhW 8Cs1q5KSJtiLiFsFXxO6sH5wcw8R/n3wxAStHJ04X+xnJnu1H9vXvFmzvQv3 LBy6RY7yFhGPCz7jc5tOHiu64ZwC4mvZedcWmv2D8C87D1xPs38QjuUMSk8L 7y4u0uwfhFbez8+Wa/uIOLeC4o+65X6KueEu4pwIOqftQklpwbyu1J+A93k2 4aZLRjfqT8APJ1zMKmjjLeL8C4rHYftzL7I4EvDbJ0e+irjoKsZrvo/Ye+2X iZGjbMQbmvqIg7wOy7xdzcS7mvqIN0Mc2kxJNxIRr0nxgGtGNk6/Zyq206wn Cs/3u3tWv2wjJrPvBT9qpCuLHKUvlmrWH8XvSY7DQ/c0FREHg35yKrsPqEaz fSmasvugsd4Mvo7dV4t4O/CL7D67YZrpZSurXh/3v/xWgf1vqG95BVv15+ll 075Q8NAkL7c/isoUiKtDuWtHGtWLiP2qwH4JWm/16nfD+qauiLgNcCu2bxRx qOAr4zIXmRxpJVqxfRQox0/svl027pNdqmtTd449Z1+Jjb3eeiRcGEPrkRiX p5/rbl3UYbC4mOlA65bFO+eFBTjw8x3RtVnu1JzfOopnNOut6N35n5/iW0tx L4uDpPP/1jRpMeV2B36eKD4p0P4ZM8VEXMnWfcFPF1QHq/w8OI8D9aF5VaFH yWYDcRbbdwQu66qvr1rHxLkY4HNW6Tqp4j8RZw/+6EO/0iQbS/TbVB9+svsW sX8J3Ivtu8Q+IhpHSvsOmedRotis+Z4ynZbbHz5M0OL98zKHsg4Ol3LuKDj/ vOzvvxakGphNUyzW1EH4Eh7Q1NtVX0Q8KHiyV7B3YvUHzo+qLbiy++Yuaeov HBnewUTVfrFfC7zN5MxDaRYmpBu4T1bktes1TUk38HNJPber4l13MN1Q34LZ +fy2TBfw5Sw+GXGE4E9idwZE6fUU8zXtQ0HniN1jneOCiH3IsIPW77rgF38g QkQ8EPhbtr8S81PwiotfN/m2H8/ua3hD85obrmO/NB7TCXYO8eitXe9J69c0 rxS9PMY3D3ay5+f14uzS8PMOXyz5eb04fF/XVYaJkl8I9bkFW0/n1hdkXr3G Pk2qvizj1r+EHjZvM1X155JGf1ul8C7LH6/qrzR5sSLQqZlpwOXPdH8heIK8 ptdsvWzi8EM2sFHdX1ZK8cTgig2q++jv8PnIoq6YDUo3KKP04CV3n3Q95V0q 00xfJXuzZPcNX/PVCs30VbLWZd1n3g99S3HG4PuT+h04E1lN6dEuzifZL+mR f4/Sg6fK11q45FcqNnD9rQHrb8Gp/ge0ft7rdAOq/2RnzjBYb7D2rYxr77LG Q+v2LS7U7Ddk4YdvHWmTlYvzm0jn1CtOjgZr7yu2sXYHvrfJ+NaT0/9SIB4R OsuZ3/sMp/8Qpj/23eH9N6zYcPP6Ql26BwTvYzlu9KJbNbcRX0X15Ftp3Tg4 oKmGfa5IqNLRuZyD/TP3iW9X34v3geLdwa1YPOEWTd0UHRZc0vLbeFtxmKtX +qxewc7H+4+90qyBMq4J3RuoGV/Rje71A09K/DAnJcqJ0qM9Dq3/zzKlzJHS g8+t//muziw74jTvG/GhKG2JNXG0x37MntHMp1axrZHhHLtzxlz70hZvMDsH nOKU38tn/u/9caiHv7H+GZziv9bssC7ZrCdq1udmwvWAvWeT/uvvEK8D3vnX o1NU95sjPfqrNfcbFJz4aUbp6T4B1Tk2hpb0nnROudoPaSVy7VSxMcnBOiH7 h2IkZy8lMnupJWdvfGX2xhzO3vjG7s1px+KT8D5lh/5e6b/UXHzA7Bnwxd9W j7DbZkHnykFnH1Yu2L+Kdlob8tf26tRK2r9K89aQ1Olrq9/KOLtOlnb3bfPW WUWyJZrju6y/MnlwVsq/Mm7clwUzjrg0tK+ORg0yxxWmKRCnCG7g5dguNOCm QuTKfQkr95ds3oT6XH46tVVAi27iZxb/Db6+nfvVsOdOohGzk8GbZPb+LXSW E53Hh3LsWlY5OP6LlejM5uN0rg+7v+kGa9fgScrwwjTBSuzM+gHwdvvjZ9sZ W9O5dXw9/6lU/feSxq/mbPxK58aprmycQhwb3r//tTUno5MGUVwXeMWTf941 ThtMcV3ga3brD7bb4E/1Fjx1iN35sMXOXLtrJg46f+ROxEU76f5uzF8erF4c dbgjm6+9oXbawGxlp8J5rfh1HEVNdFyLypYtxVPMjwGuc3jPPzGvm3DtRVs8 x+xScKQvCpo/LuVKc7ElGxfAByh3hKj6B26dSNFLbVc0JY52Z8z2x4ncPOUm d284+JbeFf1S6rcUuXqueM3dGw6uzd0bjv48ziju71ZZSoq/BzfN8D+rijut dtRodwrjBbeefMv9puB0kB2Wz03Rcfyq4OKahE9hu7/2miM9F/3GveT8SIdO Jnw8mJDL7vVupumfFHK5e73BF7B7vcdo+mMFQZl3Z+kjM/LXgb/s6dI40reX 2EDTvypM2jRsREq5QH4G8D2bdbeLmd68H14MKslYl6Av3bsNvvjk2wzlAele PGrXD7LPKic7MS75IXdx92jTPQkOyebZpl3Eg5r+JYUhu89Rc1yrUvidCKh/ eaB0nzXG5Q3s3upRrB9D/1nm91jeLb+Cj8eQ/Vqqmqc8U8D+B/c11m91o+ap bC7r/9F/2p8InpWZYsjHycjsvY7Nn5z+Xz3n/F1K6zp/F85RojjrCUsrrfu3 4uOUZK3fP7MMu9tAxH4z8iMpe53a+qC+iH1l6JducvdQg59n91Bf4PhRxudr +pmF1ncab9VxtKX75lAfHi5bvapio5mYp+kPFy6Z7n2wNbizuE7Tny8UTPu0 OOyum4h9uejHgtoMzYk+34NfFxMnBhc0N/fsxq+3iivZvcyvNP1yCu87Lfao 7r/4xsYX8AU3Rg1IuWIu4jwg1JNY5j9x0fTrKrqeONHCQ9dAxL4g8CXKnatK DKX7S1AfWhq3PPMwoUARz9mBn63r7EA9TTtZZjr8jHm0xxnYn8SbFf5ulZ9Q JHuo+Z6ycb9m9Tvp3YbvJ2V19xF/o3vpUI73WbmDoxwHz1vzZ8zB1iL2/YL/ eWO9lfec5uJWtn8V7e7n0dJxkTu78+u/4rMx1ktztjtx/WqxLK33h2Pepz9w 87gq2SR2r3Gypr9CNn9BadfIQsneBl/B7G30k6g/WyIeB+U0tqH7B8EHbve+ FHPDFn5+4gY2i+rb2HUQL7HvBO/N9teksvJFv7Qv4u8TSkdnfj1RPN2rQVrU Rid2r18GjbPyE3Mn1DjZ8OOjUMT8Fdy4LBxRx7u2hb1B6e+y9Bka45228Cd3 ry7aVwzzJzxl9R/vs2SF1fyMO3biDLZ+AZ4R8OvpxC2deP+8Qof1n3X16hXF KY3vWf9hxtF6Fw9z/Wc06z8V3HxNnlQ3X8P6Bb7X/Ztw98Uf7cQPmutowjZ2 762L5jqg0Pnb80uTB3WldS5wqxPhJdZ2nbn7vrVFa+4eW/CJ7B7bdM7Pls/8 bNATOsu5e2ypHNk9tkc4/1JP5l8y5NI/ZunRT0KHvLANATqzGtM9m+CTtq5q fPK5dI8t9LnLxvf53PziJ5tfQAc6x/37JcvClVakA/hv77yeRt+0FP1Y/wW+ he3H0fQbFMsa7U+99clSW9TsT6pklmz+pTkvq5UNZP0J2iPec1H9OCHjaEdx DO5PRdwCux82iyuXQlYuW7nytWDlu4fT35np34MrRz9WjjhHmOycvF3dT5pZ s32M0nzBmc0XsG8H6b9PdXy6tbinOFHTTlBsj08MTMhuyd3TqqX1o6Dunlac BwceyeL31nDpq1h67D8BH8ji+tA/o1w8PU7mXa8x4sqlWHaQzXNNuXWZ59w9 reAlHEc9HPHkQMV1044i9gVR3M6YO+NLXC3FsZrr2kL9Pnbhhlnd6f5W6HZv XKeaxgEuWIclXhmSXBMT6kTtDryZOm7Eis5PRH9bdErHQO+nHx9PIpZuOXv7 4T057QsC/95m34uKHQPFfG7dajd3Tyu4OZvHXdL08wtjfqTEpJ60FQ+yfhj8 4qpOHVT5LOT8vVOZv7crKw+8D+7FwD5M2DNiWWhgzpsBdG44eGhgxeCiic50 LjY47pXAvR2ot7c7lN9LOj2I7rEAX9rQq2X6iz7iek3/trjJ9sDJ6POd6Hxt 8NcTbiWn3nemc6XBu7D7GjCfRXvs8uTN7NQPAXRPBq1f9HC6Hb2gH90bAT6t 0aU0eUsZnXsOnsXmjwpNv4Ho52adobIzN2v6M8XhLh2eJ+13ofOawUvZvQmY R8Pe+6drdmna40DERRCf1uMvWdEWOcYX4peWlD+X1/fB+izx2Fnvhhq87471 X5rPvtV2+00+pAvWiymeYc6sKUGhSjfEe1Ac/u38KbNzFgzBOjXx7g3qRZa4 DmT5NyG+9Laxjd7P3mIFs5PBP2p1a6632x3r5jSOL1zVYIJqv5u55rqMovnz dK+iiZZYx6f4irn5TUelXHEScY4zuMxk84dPL3uKONcY/CS7RwDrEegPg8ue hnqPDkHcDvGe+58FJwwLQJwP8cVlb6xU97/gnCzwp04Xe3mHeIk4Dwu8zczo 9aEKJ8RpUBzIw7Pvj7u06YQ4KOL7jSfvLh/fHXFTxEcZh7xQ3cOC+2zQ385j 8eo4pxX8Iot7x3mp4GdYvDrOIQJPYXHpOCeI7CgWf47zucDvsDhznNcJ/pXF aWOfIXgsi8fGOcvg71jcNc6fwnidWrT6hcvKoSLnP5EVMn8g9o1jHP/Z6ddn qvh87AMHX+/7z5ya+UPEBZr9gPAt397d23AU3w8IDZy3FuoYDOX7ASFvWVnn yJ2SvwvjS9L7sxXuvcZQOwU3Wdl2T1jpcGqn4AuGVk2IDB5C7RR8zNnF8bmN BmIdjeIq/+muV//yg3DEZRG/2TtKoaMciTgu4vsD+yRFmQ4V/9WcnwrpnVtX ba0aLOLeERoXLFdXmnn6Uf3HuNZm8g6vmtAxVP/BZ/45yTTbKpTqP/hOtwP6 sSeGsHu3tYjLXp7t5q0zSKzU9JcKn640nhvq2Ef8k81HwHN339FSzZcnaeYj ftULeJZm4So213x/0Ulnh9b4WidxrWa8mXAqz17uUGYk1jpq2qV3mF36hrPn lzF7Xq4Z7ydc+ffEpYhYazoHFu9Txc5PDmX9Jsadfuwc41LNuCnFhDWbAtT3 NjOO+rlPS5w1I/acDOdroF2MZOtKOHcS/XMoO08vhsVp4H1+ns374rLSCTqT 3W4faeGd6txA9ODmX9Fs/oXzOvFcB7YfBM+FnZbLzk26wNl7rsze28qt35mz 9btJnP0sMPsZ9QH6rByR4qc6r6Av+xvfNZqdF3HksOq/C+THNmT2z2bOj92X +bH3cnasB7Nj/+bmWZPZPKtMMy5UeJ8XsSrqsCX5qfCeRT2+K1T72dO4fq8M +1NYnA/F2W7eEGU4iM7VofrM32sG3u9erzEZd6R7n6n+L9l8vrxYurcXfO2s ed9V+/7wHuAvWZww+k2KX033GaS6D4LixhgviOmqWziJ7nmher5g7mvd6iC6 N4d41yLbvOiT0n3r4IpjrvNKbkv3qoN/Ye0F3ws92luP6hCfLN1XBW5XntfT 5qZ0jzP4kfi+404GSOfhg09g5z3iu8CXfcj4Ih6h+48ofvWs+t5wujeKeNef k5aXF9N9W8SrZL+bTRk9hL4LvMLu9cCcJ9I9Bfg+/pwZcC+Nc87JryWG+14e m7NAukcMfNrwjLcF2XJ6H/Cnz9MTS9rR/VDErTOHfvKfSveGkJ3Z6rbsudhE uocL/HObQ0sy29E9SsSbjgyPyLEbwulQq9izptuvqePknA61iiMNGm31bRvI 5VOlqF263SxyEZ///38/EfoZ/n4i8PwlzvNSx0n3DoPbDbFrUZhG9/ERj327 e2e5tXTvMLj9I7/Qor78OcDFsot3d5xwmCydw0Drkqzf09SzWLbWPlAouu7E 6VksC/oxp3RrlSf/vbIB7t8nJ2T4ct9VJTvH3R8EPsz5YonYRc59V5Vsqfp8 Th/uu6pkBZ0S8h7+5cZ9V5Vsen3nGN/iztz7V8kiO+idOWJgz71/lWz/ke7T Umf34MtR9tucVLPkTT5c+62VVXL3+IAfM744Pee8L9d+a2Vjj3tOzmjWk2u/ tbJX94d7JldJ5wKBP3Pelxo1wIprp7WyyLGj20S2teXrp+y26vzbP135+ikb v037svsfMk5PbUHO3ZsD/szNudHlJgKnp7YwZUSTO9Ee3fl2xN9rSTxxsfso hzIvygffcU11LqWvJ30vnWs3+9pYg/dOfHsX9qnKcZkz396FxJ0vmxi89+T0 bCYs4u5zAY91fNeo8HN3frwQijXGC8kPcI27HxP115rN65EO9WL+xUWTErZK 9zaC67+03Jdarw/lA175yH6V79VuVG9ofZzN3zX7B23xq0Mn/eRNA7l2pC3a 9NikyEzpw7UjbdFMY3whP5top3E/aS3xH81GdIl/JN1vCP6azdPxPqgvxZlN fVI+Svczgu876D05Z3tfvr0o/LjxHfzuh5HOqnqrOX7VKnz2RPy/tq4+pqkr iv8BWfaRShxDU91GcJ0BFaOCipT5rmtWKK743QHKomEzSm3GYjKC2ySzSf1j E+cmmOmqqR+JQUFFbNINd19mYh2NDpYhm+g0KbiJRo3VVcbQ2XrPvXm/rH+e vnffPefe9zvn3Xvu76QmeAOM/muUB094Rpo3FoB9YrzwvWmPm0+WIc7w7bMt u7sf2hFnuKWi6+JQNUOc4XH/GzWRG7MRZ7hrle/X1GNTwG4xPvfLkT8S63JG u8V4RZK/KA/xh798pubhZ0/GBfCHnzTW+5Pz91G67aDNvRj9Ar9+xVYeCZWg X+Bp1489d/fHBaBXlMchjiJ5S8dCu2diLrzvUeTrk/F88ZxJW/Jcz4Idotz8 UXZt3sVMsMOT9vssDb3F09GPcD3Vtii4rQD9CJ+Qlb0jkPWmtAO9r00p2xqD raq+IckPB/yB5HlPyhMSv7WNP4eHvDZpB5JfSPLvFUo7kHzF6U/u9W5V8RXJ Tyf9oKpzQXKzJXNn3bA6p0pyZzLPVvHCkbwoUZ+0OF/qS/I+b3Z93TxN4hvJ 68dvL/JY7TjPtb6CrxqC55fj+6h5Nzt9tiMufB+1tgevHO3uXoJ4wgZ6Di2N hMoRT1iF9ff2qrZliCfs8p5wWHeXIe6xkVl7BpzDlYh77PvGmQ2DnSuwXi37 Jn1fjSdd1S8jeb437IwMO+TzSF4u9imM+prYT4Hcosj6KtDXxH65M3nsun/f AfwxsZG18TkPspYB/pjY52PmrxzscMr5QPLqgHVIX2gHXDIxR23w/e7f0gGX TGyW2GeB7x22993QusENqq43yceeu3Wubo2q6y3PIVbG6//5S9X1JnloWnv8 0jOlcn7KfI+/X/MH1sg6X/I7zr1/S8+rlVNkP0l+XOw7QBzCR3P6cywOxf9J 8qXiu9voB0e1P1c/zdsEP8LmCv5bGC/9g8LazbaY5AGT/vTIqY5NWycrHlSy U6GpqfOLDBmXSv/ov20+UDdP1Wkl+zVdbf80cT4d+sm9nT3Wa4cmAY7FeBnU IZJ6ifPv0D67aeDrVvtWDqjjQ/M2RZyPhu8m9nFTlzVRz5HsI8+xijxwY39M OhP529C+XinytI32HOW9L+1qLXkxA/of40P/2/+o5mz5Lvxh/1mJazT+LsF/ QtfR/6n9zdfm5w/IcSd9pxrqhcnnai0Gnk85b3V7je9KSfsMtD9fYMgro/6o vDJj+1FuN/CFyviKeR63uhPnBiG+1W+wtx1pTsWTSc/ZATzY1N6jDT5fYv0E 4mF9iYGnNyr/vw/12qi/4fFP80zgeu2HnSWLPCvNqK/mEvkhML7aW0JfWJdg pcA7SnauEutIxvZT9AyxjgTxLdsEPO10X2nyuXeh/yn6t6K+GMQDWteu8udt 1cp/UHszBE5CXKdVCJyHdQl2VfAi0v2k7wti/xHiDe2EwDdYB2CtN1eZ05yv 47oNu3X/66CqCy/1YuszQ+5gbg7ajY0DXkFqb4w4vw/4xtoSdZH8Wfp/q4fu dA== "], {{ {EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxFnAf8V9P/xz/3fu6594qMzOwRhRKVlVUklIaRkTSQEA3aUioKlQqRRJOo FEpUNtl7j59RRlbZe/1fT6/j8X88vufxft3zOffcc889573O+/3d6Yzex/dK K5XKP6FSqYqeKzpLFaeLvqyKy1W3reibKuOEdxZ9SeUy4W1EX1EZLbyd6IdZ pbJFUqkcKPp9Uan0V/2b6uc74e7CDwl/IHyW8IPCB6vketb/1H6N6vup/nXV Xajrg9XPSaI9RWupfK3f7tczzhFNRV9XuUp4R9F+areZ2uwv+oaux6p+J9GT df2d8Faia3W9TLiV6Ncq9wsfI7qlygjhAWqzlfDI2P4MlQnCW4p+pfr7hI8W 3Ufj3VvlUl0/p+thopuLPqUyRHgT0YG6Z3ON5wDRp3V9sepriT6jMlR4U9Fn VS4R3kz0U73ztcKd80plV11PFB7MGPScBipVlbdUP171u4h+rHKT8N6if+ne e4R7694vdD1H+EDRC3R/bY3hENGPVX5QfW3RP9X+buE1avO5rn8U3lp0mMq2 an+Y6HD9tp3qn9Rzb1WZo3KLrj9R/TTRfURXq0wVbij6uO45VPeewnyzflTf Q+M5QN+0m/By1f2v6nfcXfQDlcnCe4p+ozJf+DDRdSrzhA8V/VZlgXAz5pVv o/4PFm2jvg4TPlX4bPU/UPgVPWudrn9mrfKuVc/JkbyjymzhA0TfVrlauI7o jyqLhVuK7lW4/frq53ddLxc+VvR9leuE94hjo7616G4qk4TP17O6ZV4Lm2hc rYU/Ej5P+GKNay+VBirHqp49do7qd9EzXhC+U/Ru1b+g3+8SHaQxfC+8pehd oneq1FcZpxt/Er2HOrV7RnSB6ELdv5v62V/0cdX1UNlb5Rdd70+fojvo3iuE 91T5VOWsxN+pjeqXijZRaaoxnazrA0VL3bNQfc4WnaHrI4WvF841puV65oyy UtlP9SfqvjNZn3wHlbXMndocJLyB6P5q04Hnqc1SldeE7xU9Xs85Hv6gUkel mcqr8AXRQSrNE/OPQxLvw9WiqxLzgt9YT6J3i96Te/5f0HdorT6XqH4fnqFy rkojlapKY5WN1e4QjaetcF2176px9OUbic5WXTuV6bp+OPIB+EETlRnCl7Bf 1P+Zwn2Fu/DOwjeJds68tjcXXce7s680Pw+ov2NULuQZokeqnCB8Ou/PfmeN qP1FotPU/mb4nMq6+D68F+vrWb3jKap/QvTdOB7GtTH9qXzJ2o2YMT2ceM21 UNlV97zEWtVzhuj6CJUPKh7L8XE8w9TXtqJPpP4e1H/B3tN7tBfeF14b35f3 vqfqd1pP9Laq54S5mZO4PeO7TfQ4lUXCl2bGR8DnVLZR3WNqP1J4J+FnhC8W rs33F95VY72Gdxd9VfVThOuLjsrNg+drrqbG7873n8UzE/PZ19TuRtU3EL1F 5RThH9TnHsHroo3ubxC83tsKX63764lerz7Hs0/gt/p9iO4ZrLJY7d7UODZT fR/VdxfuwzoQ7Sl6nsoU9hV7lXGK3qJ+DlWfD6jPhRrD+arPRO9U6SlcFV0E XxYOoner9BYuRO9S6SWci96hcjbyWM+YH+VdIjpTpZPwz6qvp+fNhJeKfqj6 ucJNRT9SuV34INFV9CV8sOiTKlcKby/6pcpS4aNE/0Y2sHdFG6mvnYUvhlcX 5v8DhW9Qu7bCX+m5Nwq3F14r/I3aXCDaVfR61bdR/Ze6nijcElkhfDMyWPh7 4WnCJwl/J9xUc7eRyonMkZ7xOTJRY7hFuDnyXXSK2rcT/hp5m3ltsnfuyLxe TxCdpDZHqf5TtblG+Gjhz4Rb6/7D1aaj2gSV51R/GjqLxvoYclDf6nb4JrJP 9FTd85ja/6HrIWpXj72ougFxrT4ND1Y/vzKHovNU36NS+Vdh2lt9Piq4lfrJ 9Nuzwh0Zi3A99XmU6Gkqv6l+B9Fz1Nf2qXnyPrr3FdXX1b2dVPdD3L9XqH4T 1V/Jd9C7dEzMr26vWo/6W21nC3cW/lX4IuENhB8VPldlpdpnKn1VX0P1D6ru /Kr1u7uF99VvAVmj67/U746q+1N0oBrUYn/Fd2cMdwnPEG4l/IXwdOFjhD9P zWtTlUSln+prqv5x1V8ovD48SbhXcJ+7596bfKM1qu8jvJ7wCuFBKmdH+XWl 6vdU/SvILuE9hF+GV6g8p9/3Uxmq+q1V/4jqaqv//US3Eh2j+t1V/xL6q0qp tkViebheYnk5OcqKv+DpwXOwl8bWS/dq61bu031PRdn4ia6vUn190VdVf4Gw pqmyWHiB8KnCPwk/lFn2dRB9JbGcWqPfagXrbxuK9sysx+4r+pKu+7Bu2XOF Zd0u8BD9Pi2xLrtMbbqyp1Q/LTPfbyyaB/N+5M4sjeF04V/0jBNSj2ETlTmq 76L639Dfqu7nd8ase48TfiOzno2+fUlhmYWM3RQZWrXevkHVOjq6+mC1uU7X TYX/p36uFT5Q+D3hLiq7qPyue69W/T6qf5P1pvKS6tZXmaz6g1T/vurWD9bl t9AYJmve9xGdoonfV884XPXT9ftStR8gXFP0PpWBwhvCC9XmK+ZH9GpsCrV9 SPfOU93oxHrVH2q3QrSN6GD1v4n6n6s2RyfeR2ujbEJv3Eb0cPWzI+tDba/U +DZVuV3XtVS/k+it6Fl6TgtkVKRHpP7tE/22M/OmtnXgXcyF6DPIFL6F6gs9 43965jkaz4e5eQK6X4vMvOgE1Y9l/cLvE/fxuej2Kov120VqU4M9p77qqm6B 7u2TWe86V3S02v8qfAMlsx7YS3T7wmu/A98u8f76E7mo+y9BZoruonYbqm6l +ng06kzoS4P1vLqiz6t+t8x7ZJlwf9XvKPyU8Djdv71wE9En2beR56CfPh35 yz+5KTrqtaLdI4/dN/U+/Ft4vn57QvQO0U8ZEzId/Uj09MR6fz+VLontmfb6 bWv0FdH31H4b4W9z67boclzfpv4/TtxutsY/WHSk6FWF3/OPvPLvRn5TpJve KRF+S/gM4VT4beEz4ZfC7wifJTwnsy51mehnKrcK3yL6t357XW26sGZV1zWx HXU060prYYHW3v9yf0/06ma65061P0C/baQ2H6m+ZtT90YnRh+dhByaek6bR DsUeHZ5aP4Zf9BXtFPWf79irqmuHTqHr0yIP2T5Yt+wO/9AztkQeie6g+unC N6t+52A9swdYRT9Xluo5f+vZ/0TeCK0k5o81dL2Ffj9NDW/D5kSOCy8S/lN4 oPAXufnYl7nXG/r5tqrfqrCMqy26hco64Yai3+W2b7YRvrL0OpskfG3p+Zqp 368qvS6vUf044cuErxceLzxBeBq6rtpNTayTdCnMgy4SfT23nsMe+Tq33rg2 955iLw8Qnajr+1XfU/je3Lr1C6IHqf/e6n+i6pfq+ijVvyT6Rm75gB01XfhB 0d+Zg9y6xF+il+W2MdaJXp5bV/5GdHRuXRl9cih9IUOFhwm/xT5EFui5z+u5 jxbWE7bTOC8XbaVytHDnwvtlEnxAeG7VvPov/VajsByYwv4T3lD4OuYwsUys o3Zd1a5mYpvkY/12PfOsZx6Y2qZA3tykPjvo929Vd1LheycwJ+hwqeXZDbl1 OezEqVXrdN/ot/vU33jVXyu6Krf8/Tm3vft84mu+Gzbmx2pfP7N8fg7fSm7b 6TnR53P7gPgWN5W2SVbm5tfwbWx/eHgT3dcDXleat85l3ar/N3hX0RtUv7fW eju1ubG0zF6v8DraT23e0v1jWPfq80aVe/T7ONFJ0X59VWUDvhPfDh6oe0ep n1y/v1FY93tX9d2rtmV3S7yH0QsfVf0pwTYE/AGfC7wKnoXtWTvyN3w0reO+ HoF+E3mm/iofFt6jY/TMzqwdle8r1idqRVnwdO69/1RuGdRNeExuOwyMXdY+ 8qgZFctDbHhk4i2Rb3wj3Eq0D3y1YruZsWF3tYk8Gf8U3+T8xM9+Ndg2fCp+ L2zGFao7J7E8gt3iozg74v4aa6/ENvCLuW3rWXqvQZmfOyD6e06P7zg08zvj b2EMnWP9oXEO4fno8MzV7xXbhswhvj9o3zifV+r+xqIboY8n1ieHJ/4W/WM/ F+u3CxP733j+RfF9h2dug0+A+egX5+TYxO3hrT8mtsFXqf67xPICu5v5HhDn HB/HoLg2RkQbAVvh28Ry6n21GRXtBewG7AL6xI+ETbqe6n4pzG9GJfbX4FyC b4xU+SWx/oqM/yuxDnapyluF7bxE8zws6sfD4BGZ5+AK0Z8T2w5DE+sKfK/V 6MCZdTN0qWb6rper/jit838S864RKhupv8/imOaqXKbyEPs5M/4K2y3xvQ+r fqyujxC9UXRtnJPXKt776LdLRHtn1hHQZ37R854SPkn0V5WnhU8W/UllpfCJ 2L5RL3se3VfXz7Dvql4XDePaeDj3Pvskfse2cd99lftbrsj9vdrHffp47jX3 QO710CauvYdyU/wzP2NjC3eoer21jmtvILIFvTvOCTrhT+wdzeEE1bcV/SMz b/9dtMRe1e/36nphYhuW9YF85Ju8ir6Z+/3QA/ER7p54rXTKbFO2Eu2H3Es9 39/oenPhtZn1ZPTVX9T+Z11vrfofM8tF1gJyEt8qugr6RKPUvAA+8Eju+fhc 62iN8BjVfyR6YGFZicxcEr/d8NzyIUut6+MLPDrymSejDEWWrlb5SnUjcvsU qee6Zeq9wLs9kdjO3Khivx4Ye/O9xDICX9ZRcb724H1Vron3HlT4uffllmmM k/Hh68IXhk8Bnom/7v7cspy9gGxvXtiffCX8O/d3g5e+n3v+rhL9ILdPYKxo ncLffTlyKbN9eaQ+5mO553CZ6Nu5fR0Xi76Jviv8o+i7ucdyCfJf5TPmObf8 GZvYlnwnN/01t+xOU/eF75rvO7Kw/dVcdauwUQrbYqOD7ZSJicfMXpwY9yZ7 cVLcj3xT5u2z3H6dcfG56AYTEn+jyZnn+zrRa+L+ZR/PTKxPsk6QIcgS9M9p EX8TdQJ0gwcz308/tyNjM/NI1i3rne+IvTRR101EJ2CjZJ6rPTOvkZviOtk2 GOOPReccwZwX5kvIcMaHnMHHin8VnZB65vb1zLoi/GdI/v9zPCE+97ZoyzP/ +1asYzFXfOvd4xpj33HmxLuiY2+QWSdsHuwfrKnrVPz27sR7lfbsG/gB6+aw 1PohOgC6HnKG8x9k4Mw4n+iqsyI/4TwJfR+9HT2W9i0L65n/8aRmqfVMZM2j mc9tDmKM0a7lW0/PvJ6PCF4PcyNfujzyRnhkp/hcnsd+ZPzIpk0jX6GfI1Pz FOzu2tF+fbFiW3xe5DMzM9MWwTbugthmUfzW9eLc3BX7xzeDvcD+uTWzL3an zG2Yx/rxvkVxv+M7wnZATmE/gOszHyqbq27rwuucMbOfkQXYokl8FnZoEWUd djL6CfwAnwj+kFNSy1rk7NWiKxLr08grzi2QWej/6A7Yo+gV8JFd0VtS67vo uujI7yfeA0VhHyZ6Pro1OnYT+H9hvRu992H8Bon3y8jIJ+GX6AL4+ldVfC7z TmLdnvdCX0TO7Rs8TvbXotR+vF0zn6EsT8xDFmUe48LMNjo2O3Y+usOzif1f rP1lcf1zrgRGh58Y9flV0d7BZ3BBsL5xX+L9c15hDH9DP+G5LQRfy2xnsb86 pJ5ndEfm5oM4Pw8Eny9sWNgvtSp+i6GRf8JH30yse7DH08K2zH82FLwUnvpu Yr2I5zaJ34X9iQzhrAiZgl3KemuQ24/CvsU+uj6uDdYhlGt0EfyryEvsyWER 0x5e8Xpi39+SzHO2OLNtg42Dnws9DH0M/o6/Dtuf9+S9P4zvzjka19hunJXv hw5Y2lfAPDAn6K0vJvaFHp56/8LPl2V+1/szP5sxNOQcPz6X74Kdg73TMHMd v60fx/5K/NZjI14T+6LPRupnw9R2K3bE6KgPoBecUdgfgh8Gmx4ZDI98NrN/ 4OnMejpnkPC6pzLriitF21c9dtrgR0M/+ST6B+ATdXLvNXREbCpk15fxffE/ oO/hq3sHG1l9DC3tP8KPtFnk2V8n5ldzcus2+GOo+yrW46dDN/u48O/439B/ XlZ/jURfzTznv8V9vV1hf+fh6uelzD78I0VfyMyT8DUtje3RJ3pGHx3+MfRr 9Gx40/OZ54szAt6T90X+vq/+98A+Lb2+fo1rjL2Jfr9Fxfbcmvgt8MH+kdi2 Yc/9Gb/1+YUxvhn2AfuwRWzDXmU9Ig//jvsIjOxEn78m97roVnid/BX7xHeM D/mtzAXM2U23qJPgT3g3s38bH+8TyETd+1hmHze+q+PQZ/HvqP2Qwvv4nziG 5XGc2DKvBfs/L1abGbn9amcxNyobpD7/miK6nsootfsos3+MOJS6+q0Gdg56 AT4FfM+pzxc5Z6T+xczyBJ8e/dzAmYFKA/wnqc/1sBOQicRQsMaxc7BxDq96 7lnDoxivysap4yqIr2hR9XMZJ89jvz4X1w/njJzpc94xKbVPDPtuZNTlvs6i nzv1+rwsdf2jwqMK+9/ww22ZGj+i+m8zy7d1Uf9HTuMf+SraXzNEt1XdNqnP hvsWxluiz2bWRzjjGhh90eyfH9Tm5uh32jgz38JAwf+E7fAyfDX67dkLuzK/ qdcE/le+Oz7YnbHLUp+nNq6aB7AePotzyFyiF6AbsQcas39F98sdv0Acw4e6 3i33M0fDFws/i/OCOqnPIFj/NTLzZs42uW/7eC+Ua2ykNJ4zro46C+/Lc7/P rLvMyqwrbRrn/5XgmIGNRLcIjvcg7mN/jWH31PbOHvSdet03LdymPfZUYf9t J+FDC8cOgTdVP8PZI1XLdHwHxIugr8Ab0GFYV6zDmbo+uHCMyR2lx8F4iGUg tqab8AbBBUxswmHCjVOvQ2wxfHbcs3vmc4GtOcsozN8O0bMO0O/7p573Ingf E7OQqK5e6n57RD8bNhG+XHzV9XLLR3z66FHYWfgQz6jY/msan4tePqLiOAvs goNT683ot4ek1jPxJTWNNiNj51mcrzNWxgxPHB73EfYAOgi+xN2Er83tn8ui Tx35ig+0bWF+2SDqL+1Sy7i91Oex7HHiWVK3RxZjGxKngn3ShFiI1LIPOYOv GNv7mGhrY3NzH/dz9kZsCvL/68J87LjIb3nOf+chyGpkNvIGGUEsDjxhkn6r Ae8rzBuI+4E/oG+MjnoGPGZUXA/IBOqRKftVHXO1JvNaHhv3L+fgVwm3wj+X +nyLdc1ZzXnx3l+jfELv6VeYx8JrLyzM/5EDm8Z74Sf7EEuTWq/YJI4Hvvd9 lOPI85tz+zT/9XWnfof/ZB+Y/YmNhC6GjUTMSffUcWhvF47hGqB1fnrh/c6+ f7fw2fslMcYG3RHdcHFuPyC+d/zu+AHx83SPmPMmZCMyEpmNjOoa5dQphdcm +3tM4bniLGCHwut+x8Iximemju+pG8w78Zlgg+B3wFY9Vu2OSR1vs6fatEI2 iZ6W+ryQtYP9gh2FXvRX1TbT6VXbSdhR6D3IirOivCBmCUzMHmdFnBkRX8J3 6xnnc3DsE7uJb9E9ro2jgmUCPp8fop8Hf0//uDb+43nwevgutg921OqK9xZn 7ewv/Bfov9hfrMdBcU0OiPeyxsanbo8u2j4zJZ6tXtXxfquF50adH93/X19T an/Tvz7I1LrN8cHnW7Wr9hkPjs9ivP3js6gbEuvfKxxPcRl+49w+3bGlz294 Fs+8VH01VN+vpY47wh/yhvAI4jaEX099JkB8wHFqf7nq91f928yT8KHCH6TW 05ALyAcMxLnoq3rOaLU5QPgdtRkv3AwdRHic8GHCH6bey4wZO/YYPat36hhL fMlg7Map0ReBT4L4P84COSNbUvUZ/fpVxz1erfbHik5MrTegM/yUW5/D3mIO J6eOv0UnAqMXEWN7HTwofkO+5T1xvaGjoBcRf/ue7uuhObwmtW6G7oWexr3o YLP0rO2Yq3gehQ/zo4rjV9CB2wUXMHoxNj+2P3o5tkPf1PYD/lXOQuA1C+J6 Qv/YKzPP4cwFnoMeg93+adX2d/Oq/Zr9Ii8iLos+0QkXpJ4X5uTS+F7sI3RX zgHRXeBhF8Z7r8h9/n9z6WfQL/oTOkvH1HrLjNRzfpLKCYXjJDl3Zm7RF9EV TwzmvftXfcaDjna88EnBemAH0RH4nVLH6BLTgz1+XtW61bTU87VQ9E72r0rH YL53aow3mJ5a9nxbmJffV3osM+LYmsf5YW2gO6Ir4vf9LfN3wsdM/8R1668y Qf3ckTq24bwY54OfoIvuv1m4EWeJwg8ItxUeV5j/9FL7sYXjgcF/Vi0PO1Xd J/73LVQ/P/X34FtgS/Es7Cliy+eljoPFTzEv8mr84dxD3Cw60Px4b9voJ28v en5w/FKn4HlaGN9lVsTMG3KNWAT0p5URwyfxZ2A7oQe8E/VP9FDO6A9NfSY+ NMonZNOTEdPPJfFeZNX8zH3MQz8vzOMXluafnG/9K68T+6yJi+oR63GBEFNX R/f9LTooeM6JsSL+kLgLzrun5T734rz46mDeNVX1Y4LjMW7A1xccr3id8Kjg eIzJ+LiCY9XgcxOYR+EbVX9GsA8QX+Cg6HPG9zwUfxx6U+FYEN5zdeGzbuqX sycLx0Vx9s25LHoWcZPET+aJz+KvCI6Xm1LYl4Qug041MZjH3lRYz26OnMUu Do5Zulv1jwTH0S0Vvhd5yToU/iN1zNKbaj8vOA7wDtU/HBwbeW/hXILuwkuE y6pjKWuo7nb0OuHbWOPBsYu3IxOCY6IW45cKjp27Bx4bHFd5l/D84PjGecI3 CR8iPIP3CvbRzRe+Kzim8c7CNgd6ReOoY3SO+IjM8px4IfxS6Bv4rdYWjrOe VPo8nfbE5/wnC9Fxy4iRiXcHx7IuLGybTon8fOuq8y8+yGw7cEZI3OAPEbN3 FgXHWy7QvZOD5dR04anBcm0m9newL+hm4beDY64eKpyzQQzYg8LvBsdfPSz8 eHAs6/3CXwpfIfyY8Gf4XzSWbfReLwR/iwdU96HwYOFHCsfcE3u/WXBML75t ztq+CI5NfZw1FhwHu0L4meBY2eXCvwTH9z5ZOB+AvICuwTG38Gligi6NPBZe Ozs4zpB4w3Wpv2lVddOC5fIstZkbHLM6F/kWLPdvQcYFx5TeKjwpWGfgXGVm cFzrnMJxZcgTzmp+Co5VXqn6n4VvEH6C9ZP7TJi4m6eC44GXCa8UPk/4Pmzr YJ1hduE4UvS0PqJp7jjeZwrnxiC/3xc9qnSsLWvyyNLxr4y5Ten4YNZ869Kx tozz2NIxuLzLX4VjNBur73al40fZF4eU1pPgJ81L6z3wjUNL60nwlmaldR32 eIvSMb6smcNK60zwpcNL6z3wq1alY4V5r6NLxxCz3oaVjsl4me9VOu7qVeHh BBbhR4OPCdfKfEaG7EEGNdd1y9IxvqzhEaXjtF4TrlE67vNQtT+mdNww33dk 6fit14W7Cz9Y9braqHQsYwu1P5s4kKrXalE67+Vg1R9RWp+Dd7UvHU8J/zml dAw3vAvZeou+y2nwgxjzDQ/pUDpumz17Uun4b3jaiaXjhuEbyM25urdHMH8m Xu3M4FhzfCR7opvkPtdmru7Svc9k9osSk01sNt9xkeobB9ubbUvHg7KeTy0d Uw5/O6F0TDl84DTh9YJjSruUjrOEl/5ROGZ3H/V5FvZV1fuuc+l4UHjs8aXj j+GBXUvHZcK3zxBeXjVPOK50vCn8s5vwsqrXecfS8e7w3jOFV1S9Fx4TvR7d KlivYE+v0O/rl479PSy3D4o5Xq66rHTs74HIzNL5AwcIb5I7n+tFtR0S5SCy dYPcMZb9cse17yy8r/CGuWPgny98PkcMBPbvRaVzvdDtiREkVpA4ro1z53+9 UDiOnHjys9Vfv9K5ZOzTjdTmXtU/J1zNHXv/bOFYffTr3qJTguOoWXvESnGO dGLmuDti7MhTIKcAe7pZ4dhL5Gy7zPFRNaKdQuw750fk5GyWO+Z8gOgNwbHZ R+TOp0A/7cW3y+yXIAeHHAp8pA/mjmkgnoFYuA1Kx143yx37x3lQG937T+G4 cObtgtK5GfD8XqXzLuDb55fOMYDPnyf8RNVypKfwyqplR+/SuQrwxotLx2e8 JJzlzvkiv6pm6Xjr5rn12Js0/pORM6r/InPsAXr11FgPz0e/XqbfQ+k8k6a5 9XD0avTnPqXzIuDP/UvnAfJdNiwdx8xclcKjqvaDEeQ4qGrfY146T+Yg4XOF H69aJg4sHXfCtx5SOh6Ftde3dN4Fcgq/Kv7VTuyt0nkXxIwNLh3LwloaVDp2 hHWIHj5b7TtrzA+W1r/Hq/6i4ByZhupvNvOc+Zzi4NK5CuhvO5TOPzxZbT4O zhPsyFlHnP+ThD8Jlr+nCa8OzuU8Vfi94PzNDsK3Bse0txReFZxHeYrwR8G5 lvR/YOkY64HCc6J+gpy9Tbij8FH46eNcncj5TOm8R561a+mc0q7sS7UfpPbH CG9WOrcT/HRwvmRr/E6l4+yPFt6xdC4l42laOq+DuLt3gnNUedbOpfMqefft 4jrkvaaXPktGv92ldN4m8/C+7h1T8fygw+CPfVl1PwTnUZ6r+htz+xGJqVwX nP94lup+D85bPJ97g/MEuwivDc7NPDO3bY5/hJhY/GnEFxKPemewT/Vk4b+D 8xD7qG2RW95dlDsfd4lwX+GQO/eQPYLdylk9MSl57lj3C0W/D85zPIe9E5yb eYbwYuFzK55D/GnknxA7+lvwvuup+h+FbxU+L7dPjLzTUwv7wbrFcS4t7Uv6 QvjbaFOcrfZ/BOtjFwh/E2w/dhceVlhXfUN1a4LzPfnunwtfL9wtd17wcdgD fB+VtzPnRHAP9x6vNk8E59W2Eq5fOo+Ud9yzdD4nY2hQOleT71WrdL4K63Cv 0rmmvNfGpfMQjhTeo3Q+LeNsWDqXlXlYIvxi1Xm495eWTyfA14XfqzqntV7p HGO+72LhR6se5+6lc6RZG9vljlVDt/mpcO7NHqrrH5wHh5wdEJx/10i4Z9X2 K7Ztv+Dclr1V/2fh3B7abJ875g2dp7fabFpxn78VzqWBP/xYuC9ybX4vnP9D Pz8Xzl1Brzi36vMQ4s22zR23ht6FbxpfOr7quqXzq1k/e5fON2adszfYI+2E XwzOfW6LPIk6AHuWGCHihR7AlxVl/bGq3yrqFW2EN4+6Ad9066iD0Sc54+gC 56ju+eD8aNo/G5w3TT/XlPaj9S8ce/ue6nvo/tpRx2M8dUrnqLMfpwo/UvWZ 4/6l8377C+9XOk8Y3eCA0nm/yNAdcscNoje+FWxnsQb2LZ2TzN5sUjpvmX23 T+m8aNb/bqXz4Vnbm5TOlYKX7hhlNDHCjUvnabOvG5XOT2bvXxNsI2Nr3Cjc uuK1Wit33jqycvPg/PMtg/MZ+VacY5DniM8Z3zNxbMSvdCzsI8VfTT4ofvWz U8ftc35aM/XZJv66idHHQr48ubdnZ44X3aXiszhiIE9OnJ9KHijxfOT4ktdE ftPGoqsKx3qPLp2jBH8rg8+gL0ntj0VX5TyFc5V/fYiJY/vxa+EPJzcaP3+P KDfJnSHnhTw+/hcA/n5yismz4ryFHGRyooiZIX6d3CLO4GoG51C0VN3k0v5D /GXkOhObQTw3ecmctaBTkUfAWSTnu+R2kFuEfo78JacC3xW5RsQukndD/Dlx feRWcJ5FnOFeqc/l8BGRA0OuNvkmyHRk+7Op55M8tenxfJEz2c1z65PIU/KT iUddlTlXER0GXYb4H2KBiFcnL5fY1E8zx/AQX0QeOfOPr4FYGHJuifn+MnOe I3klxMNzNsYZGbkS5PASc0k+NzGc9VOfHxJHi93B3BETS1wfOQjElhBrtCJz njhxovikia0kxvLl3P4NzmI4k7k8s0/tn8znJpwZ1wuOeebcgrwc4pyJkZ4T /Wn41jivI/6Bc0nOJ4mlxI9GbtNOhc8UkU2cvbK+bo82Deev+H9GZ/Zljc9s R9ZVfQiOVyQfgbwEzmsYy52l45iJD/su8xkW+VfkcnWu+jz618yx95xnca7F OR3nX+QREO93ZXwWfkV8iTsFxy4SP0kOAbGL5F1cnfncB38u+WTspZPjXmPe 68d1y9k05+j4Kzir5Vx2m+D/iXGB2j+S+byAf9pxeHA+LLFexHwRS08b8lM4 iyH+rGWw3x4/Nt+L3HPirYjZ5/824O8mRoN8Xvq7p/Q54BWpeSxnScQfHB28 hy+JfbLuWf/kGJGfTg4RuUTE2BNXkgTHlA+P7z4ms5+Ld0HXJmeT3M1mxf/H TXC23ijyN2LOiUPh2xF7wBk/fRLPik8GPyfn6fiT5pXee3tFXsRZeUPhQwrn sNVV+wbqo2bunF/4/6XBeabYC+QeMufMPfKccxLOQtBhsE+Hi+6UO78DHk6M L7G+5Dd1C/4fGdjvxCARt0Ge4rDgXFTsU/6Xyqyo2yOLiujPIQbj8tQ6Ff9/ gzMh8gywP8jJJTd3JDy2Yr8EPll8s3Uzx2wQz8H6HBGco4qdMp73r9iGWpLa n0Bu7/DgXFpsZ/5fAWc7xNfwvzXIXyDvgf9bQuwpeRj8/xDyLMi94ByKMyF0 NXISicUjLg2fBPFdxHnx/yuQI8gTcl3JLSF3mf/NQgwuOR/YLsR9Ef9FPDRx 0Xwj4t5XV5zbwP/4wAdO7hxxVviM55T2pxHHOrF0zhhxU5zLoTPy/1HwP5JL y7e7gLWc+YydfExiljjPxZ/MmS6YOvLmkEH8LxHiZ4ingQ+wFv9dk5ntzlqp eSn/O4A4Qv7/BnYBMZsTSstR5Ck8mXyoRsiQ0rE62LDYsuR+jo5jJje+ZcXt iI/lPJaYE2JXiJWBZ44NzrfFB3JVcL4tPi5yNol/5yyBGCdkxW161rjgHFvs d3RYbH/8w+QOEyNNrDT5tvgcyAlDn8Uvwfns/wFyVvh3 "]], Polygon3DBox[CompressedData[" 1:eJwtnAf8V9Mfxu/3jnO+GlRUtIcio0IyGojQMIqWXcrWMLJCZilklEhRkZUt lezxp5A9kpWQvbJl/J93z329Oq/fee45d3zvveczns9zazlsVP+RaZIkPfIk 0b/kqyJJrtffN7IkObmaJPsKX6IJT2nbPuofEpPkaOEfhBeHJLla23ZX/wrN 31PzP9JBqhqfrtZI2/bQ/B3U303zxmr8DOErhDtXkuQ+7f+G8Avaf5Dmjtf4 TZp3oPANwr2F/xC+U/gT4THC2+vvTcK36hhHamy09r9Y/ae1raP6G+uYS9T/ S/N21vxNhB8VXie8i/AQzRmm+ZlaS/XfVFuq8cEav0Djt+iYg4RnCfcV/kW/ p5Hm7qu2hcaO0/b3Nb6Frj9qbK62DRSeqe19NH9X4cGae6+2fa5t2+v8TdR/ Rtv+1rnmap/52ncz4bXqX6n53TU+mXul/VdrW02NjVfbUtuO1T6nqt9C+/RQ f5DaUOH+2uce7dtYx39L/X81d5r2/1Xbbhf+WHiU8FThvYWvEt5L+BvhG4Tf FB4pfJaON5z9dczDhX/X+B3CqzQ+Wvg64X2FrxHeW3grnW9j4Qc1/1ftO1nX e6Gu7Qq1a9TfUeOtNL5M4/9pfIb230/4Ou2/j/bfTHN+Ft5f87tpbJraPsJX a7ynxncSHqB9T+Ec2nZE9L1/Tfhw9V9Xe179gRo7X/NHCV+o8TnatqX6U3T8 yTr25WpXqd9GLVP/ad43zTtUc47R3wc0v4au9Vzh09SvpeMdp+MdJnxs+b43 1HgH7V9L+76h9q62z9L1HaCx6zW/l+ZvrTmbCC/Q2G/at63Ge6q/XNv+0Zwf 1L9S+26oNkP4Nc35n8YGqH9e1b/vOM3ZWuO9WSs6XlONP6dt/wjP1vnv0Ngm wt+oP1HH30njl2j/3bT/bOFdNX6wxq4XPkj7X5x47S0Wbs/9176dNGdb9Ydq Xm/1t9e2BsJD1Gbyu9QOUb+3xj/S/ntqzmHqn6JtmwqP0vG66HhddfxtsQ+a H/n9Gu+j/naav5X6XTS+jcZf17ag8Yu0rYPweO3fTbiz8MEaO1rbbtO273SO +qnXMPblfu2/k47VUf3pPA/9naOxe9ROUv903ZOJ6t+k/a7R+Ext21/Hmq5j 7St8iXBH4QuEuwsfrnk9dbx2XK/GPtP+rYT31Pb7NV6D5yi8sdpD2DyNn6+5 F+oYrdTfgONqbEDF7yP2ZZnG/lT/HO3/Pete7RFtyzVWL9ie/KFtZ2t8ZPRa vkbb2qjfSdsP0LEGq61U/zJd084au1T93TX/b+4Dz7Pi+7OHjtdV4x9qe22N 7ya8q/D7wjWFawo/KPyz5nYW3l24i/AHGq8lfKLOOU79DVgPGuuutovGV2pb DY3vrfOfW9rjA1m/wv2FdxG+U/h47T9WuLXw59p3c+HI+tD5Zmj/vbStt473 pbZtJLyncC/hL4Q3FO4p3Ae/IlxHeKz2n5TafvZSv9D4fI3/oON10vi32raz xvrr3PcJt8K/aP7sxPertfAews0q9lk91TZXf63aq+rvquNtrbmvaU6h/Q/Q 8fbn/Szfpw2EP9DcJzX3BuFThSdo/AZtO1L9t6Kf7xCd60KN76zjtRN+BZ8h vIvwVsKvCufCm+Z+V7pp/0Hq76vWTv2z1C7IvYZYS700v5f6R+n4J6v/hfY5 W8c6kmes8TYV2/Ba2vaQxn5Rfycdf6jm19RYe+37oPA1+h3b8/uEbxUOmn+3 8I+av6PwMG3vq/kN1XZVfz/t3xtbjI3H3mn/LTm35nfV/P9pbHvNrai11vwD NX6Vtt2ttr/6F+b+LT+qLVf/Xh1jR/UPUP+6qu0FtmsiNjf3/Twp9TWfQqyg Nlr4F95x3h8ds4fwE8JrdQ0Xa5+zNfcntVfUv0rju2nsco31IJ4QPlv4BeHm wnWC7f9vwmdWvf822vcBtVvV/0+tVWqbfIn6a7mfGpun/s2af5v+Lq7YR+Ar Dsptmx8t3/e/1Vqk9nHY9ELn30J/ewhPwhbnnotNn5r7/myFb1G7Rf3OOl9r zX2RoErn20HX+anGugu/p/46zWmG/VL7U/2/1D5OvG1deX6uvSX2P7d9xBc1 IOZSv4eOsZH683TMNeq3zP37ztK2nrrWZ4Q/q/icnBufsd53CL+EL9ScNsL9 dMzv9bcivLn+7iB8GWtCbUbFPh3f/pjGV6v/FLGOfk9Vz/N94ceE5whH4ZXc P+HZwov1d4Xwe2qP5I7PiJ9+Vn+hxn/S34alf+2n6/tR/Q81dyO1G4Ufz70+ ub/4zrtz+64X1e5R/y61peovU5uv/s5ch/qj1c5Q/w+1JtrvVR3/iMz3t6nw KuHjsdl6Pl9iq4lrdT3fCc/m/dO2x9SfiD3Bv2vb9erfSKvYJh+p/g5q3yTe NlP9p/X7bla/uY53E/GLts0SHql2mvodomO9V3iG0fEk19aYeIHfknstfM1v VH8660r9f7SthfoNdMy6mdfAczrHxsIpsQrxkfDXuuaZFcfjS4g1Nd44cwzw rsbrs2aEzxJ+XriZcFPhS/Ehwk2FmwhfIvye8JU656SK7wH3YhONb6TxM4Sf 1vjD2vZmxTERNvpBtdfU75Q43uqg+d0yx+zE7h2Fuwvfhc8U3g4fltnm/yXc Uril8GRifOGFOsZbOt6OrD/1F6m9g79OHF9iA5rjNxPbhiu07TKN18e+8G5p vB7PWXgpsYvwxsLjWJPCt+oerdH85zX3lqrXy83E6tr2nPr/yz3OGmOtge/D n2nbC9hHbfuyYh+E/WLNs/a3LO09z/OriucwF5uEbfpTx7hI/X3Uvq/YR+Ar yEHIRVaoP6/q9cdv/Vfjb6m/GTmMjnOutr1MvC/cgNhXeI32PVe/5yv1O2ru pRp7Ovfav03HHKb5jbStPrEmPky4pvrXEo+oLSAn0vxpxAdqH6v/hto67f9X xT4Ge8mz/Vv4zdzr82Dyi9KH/sPaUr+u2u06XmPimdQ2cILGd9M1bidcX9vn 4y8Lj+2kbZupv6Ha98IdhOsRy2r+tmX/Ts0/Vr9vrsY769gPC3co/G4cUPr0 IzR+beJcaQHPOrdta5t6jdcXHso48Si+k/wytY3CVvHMefbd1Z7l2UXnu+S9 C8v8gnzs/fL8e2r7Kalj8pv5fWqjhE8XPi93vEf++0p5PcSTBfmp8ENV22hs 9bEVr++9iGlT54RzuBa12mU+s6P2aYANVX9rfGphezRMeBfhJsIjWKPatysx kfA7wpXUv3kdeaLuz0Xqb1aef6bwbtreUnPvLvPhXHiM5gxWf5b2r6/jdUtt 04i3mlfss/HdB2r/8YnfQd7FE3Lv20XjTfEtheNrciByoW3YljgHWZ+L5I5F iEnIF4hPsOfY9XvL50u8Rr71kLadUNh2T9G2E9Vfg79OvSbxfx/mjkexfx/w 7IPjsU3L+JTz99X4yzrevRrfX62oeBv5UF9sHvGl2h7aZwL2XP3D1V+k/Q/J HasSs/YhFsgcyw9Pnb82LJxL/Zj4Ha/Nbxb+NvHzIt9lbi21T3NfI9cKh9K1 cA5PLk9ucgf5iP5ulfqZV3WuRpo/Qriu2pesRV1fa2IL8vyq3wHehTqlP+IZ 8CzqCZ+Ye711Tp2TE5N0C44f31G/WvU94d4sJ4bJ/c7x7nHO7uRjuXODV4ix cj8Tng0+APt8de5YDx+AL8A/EL9jw7Hle+t6r8J2ZfaP7YmhsYvkLPgvjR9V vquHkk9kzs3J0eGMhusYXSvmBOAGNouO9d/gGUfHEMQS5Oy7a/za4PW9Q+H8 obHm/Kb54/DxGjtax+tScQ5KLkoeST7JO8W71UTzf9f4uWo/a/5gbTskdUyF ffgyOpblWUzU8b/W33oav1/b9szMj5FPklc+UPX7gf1bv2bUr6PWPrXNw/bt XvJj7L+1+gdH+49lufNT4s2DEudk5GZ7qJ2Q2ufV0li3aNvJ8R4Jtm97EVtp Wyf1tyWHwU8Rbwu/jz3Qvo9jv9TfgRwwc87xL7F2tH/ATxxbdYxLLDZFbRr2 Te3fxDEKscoGcEKsQeFmkRfZ7wdr+OpgvmmSNr+l422huWOK9WFxMlL4D839 JDgWJyYnPyUGwFcvyxwbECPMFP4sc+zwT+Hf8iXcGvFkYfv/gfA2wj+wnoVX CG9NfCd8Oe+7cDvydWIGYiPhrcg3C8cebwtvWXWMcqPwp5ljF+4J7+pXme8V Mc0M4dWZY50vCsdSrwu3FV5TOJZ6TbiN8OeFY7FXhTevOmckdySnPK9wjkqu Sk55fmHOBO6EHHZ8YY4FrgVO5YLCOT25PRzA5MI5KbkpOR253bHYEewdPjsz ZwB3ACdwOf6S+yf8l/Dh5Hea83ZqzgTu5Gi1eak5VuKH1YVjjxc1r5WOtaoo YyvhFsK1c8fKvJO8m7xjUzX+YeZ379PCscdL5O5Vcw5wD3AecB9wGHAZcBKT CtskbNN2rKfo6yGWaaRzDC1sM6YR+2W2Jfgh1lZHzdlYY5vkjofgfOB+Fmnb ycL3ad7gquOBr4X31vgRuWPoIcJ3Z46tFwqfJHyv8CDyGeGRwvcLDxG+Xfgw 4TnC+7G2ou31BoXt1yP6O0rjD2ALqo6vGlTMKfXneekdX6zxbzV+GrG88CLh b4RPJX8o1+oNmn9wYfuPvTmwYntcN5gv/52YnvsfHX8Rhx3G+6j5dVJzosRM 2JND8ffEhMEcFVzVdxo7XfPPj+bqiRHOY/1qfKH+fK3xU6rmdOB24HSm6/wL 1E5U/x6ND6z6/pGLzBceIPwk8Yzww8JHVJ0zkDssEj6q5EvItfpU7KPnFeaP ZqtfT+O3Fj7XzcJ1he8XPkb4TuGDyviO/C3VNb2bOwcgF3he4ydp/D5iIuE7 hPtXzV/zbl2bmY/iN7B2pmb+bXcKHy48V3h/4btYI8K3CB8g/JTwWOGFwkdW HY/h24mZVub+ffz+xZlzpfnCRwrfKnyg8AOsSeG7eBbC1xdei9My82F3F/Z/ 84T7CW8YzA//Ss4l3A5OkfdP5/sFrhtOPTXn1z46PyYXJqYhtvlH85+peH2v C96HfesKT4zm7OHuOebIwpw1PAd8x6jC8dZ8YjUdo0/uZ/CL8ODEz+Z3OFFt Xy38RvAz+zX1GuJZkqOTqzdInJ8fp213abwDMRe5hfZ/ivWs8dM09pfwE+QC wqcWrpFQK2ksfHphDhwunBrKWOF/4f9Tc+QfRHNUcFXzy/jwT217LDVnDXc9 VvdxqXAL4TML2/gOmW04th+f1D5zTQRfhY/omNkH4DvgNeA38KnwGduUa5Sc BN+DDWyR2cdhG2tFxxdP5OYX8VE9Mz8vfNeTwWv5VrVL1H9KrR9rs2J+DJ4F voWY55TcPqNdZh+HL4F3gX8hJsAfE5MRm7VJHL/h86iRzUrsC3kfqH3UwR8E +7ztMvtUfCE1Gmo1LYXPFn4imJ++Re3iYJvdOrPPxJbj47bObIPxffi4rTLb fHwfPqJVZp+L78DH8C7yDhyP79X5blf/GPUfrzoPIR8hB4cfw8fxbM/P7Pvw gTz78zL7RnwC8exFmX0FPpR3aVxm34oP5d05N7Nv5f0jXJ5bnp8Yhfz2jTJ2 wWfy7p2T2ZcSnLxYxsvba25FuCY5NTGM7kda+rzPiBmCbQpc976JbQ1rGq4b m8Zav0nH/Tl1TZHaInkF+cVeqetDl0TXXl7X+HbqvxfMvcHBwQ9fqTmfpK6x Umu9NLoWRq1mCfFEdC5LzEvsO4j4JXUMPbCwzyd2mFTGAvhYYo2JmX0va6wW ay/z2uM3w3+emfle8JvPqziX517wm88vuTHuBe8MtuSMzO8Sa7omay/zWmfN 1matZ17L+JvrdPxnMtenWPM1ND4msy3AJnHqkzLbKmwW9Z8TM9sycjRytUGp 66vEEMRSEzLHFpdHxy/ECo9VHSMRS12WOXZqEBwfESc9UbUNIzeAK8a2kSfj C6eV/hobsoHw6My2BRupqcnJmW1nh+D3B5vDOMfk2LzjV8J9BL+P2DzuR63C cQfxxy7RHPqWwm0Tc+tnaXyHimuWVwjfE8wt9VBrDdcfnI9Sg26l/kb4j9w1 qi7YSm1bq7Gj4RPVn6A2tGIb83RwzZ7881DhpcQSwbXWXiV+OXddGs4S7vLO 4NpEW7X55Xz2HcUawj4SL5Frqr2ssU2D3084X+rxM3nGufnQ14Jzcvw+/p9a 0u25eSX4pZPgwtTerdjmwi2Pq5q3hr9+D76r6jyPfG8ltRvhblyvxj+O5sCu zV2PhhuDj+L9JT9pl7vGe1Dhd5Da7+fRuTa+HP4Nm4Rteknb6lNbC67tEMPN CK6xbqe5PRPXXrfUtr3IFSvOR6nBU8fhnt0VrHkgjyWfXaHxv4JzLzQCD6m/ X2EOAr1AVbiR2u4V17TuUP+yqmvYdUv/9aSO3TBzDfcZjS8n7yAWJT/l+oK5 OHxQTXLvqutA1INu1NgtwbWz3So+X/tgPgbTR252gvY5J7VG41eNvaR2QsU+ B+7/+2DfgM2GS/oh2JdRo5ul/tXEvIXX50GaPyD63lfVBqq/U3CsQg2J9518 nnt3teY3ZD0E1wKoaXN/T6yafz4Tf1+45kvOTv1jmOZPqZp35DffQOyq9p3m DhF+PjgmhP+GPydW5P2Gg2VNfazxecGxMTZhio63SfS79q1a/XI9UavFJ+Ib qREQvw4q7zc5N7n3wPJ5wAnADcDXbKv9P8vN+8D/bFW+n3C1tTX/k+j1+Wti jm2Z+hdrvHluvniVcKfg2lyqdrn6fwTXDuFY/gyuYcBzwnd2prao/rrEMSD+ fpLa74k5uc+C18uxuX8T9mGS8Ba546Vx2ncy/h0ekvetPH+zxDEXsRf6lUsr PiZ8JTVVeFj4WGr32DNqg0FzrhSeWnWNFv+2WXD95xKN/Sb8I9wC8Upujcqc wvWbCRr/Q/h39b/InNMQb/1dWA9xccX3DP7129w+j5iY2Jh6ANwN/hl+hPWK NoIa37Tg+gb+i9+3YW6OD5+MXuNH7X9A4RoofOMWwRwwXDD6BGpZ+BR8C/no TcExHjw4fDixH+vxmNw2A9uB/UNDgI1dFc2BwavCr8KNzaqaU+b3TAyu6b6u /fdIXOulpkYMSj0taP7buTlecgZyh9s0/kluPc3jwe8bHDIxJrHmjRofndtG Y6tZL52EB+BvCtf/xmtsjXCd3PZr79w5CNoi7EeX3HzAj5p7rfAewo8Jx2B7 BO8M/9wzev3DmcGnfyf8qPBRhWvU67AvmTkI4rHLiA90jBcT19vRa92DPyys +UEPAycMN0w+8U30O/SM+nvlfrfg2ODaTiWe1XjLYNtdaHzXqmsO8LLwsxcF c97EnNRj9+V9qVrj01nj1xIvCW8rvAUxhfBFwodl5lNaleuTuiI1vPe1/13C mxTmnD4rzJnBnaEp+iL6meA7VuV+VuTo5OrDsUfRmqt+hesxaLGoXxOPEG/W IMYqXLNFE4c2Ds4X7pfndRa+O1jf1jezfuLU4GezX2Y9wGnl/eqfWR/yiNqA wvEh66l+OX94GY+fUd6/QzLr5U4Xflb4oMx6hBPIUTPn9CsLvwP3qL977neD mPTQwvVtYlXiEzhPajqvF+a4q4XrMXDfgwtrkIgZiB06Bsfz5ITEg2geemgc keLQMl5As4KmBW0LNSJqRXCgXaPtCXVkfMj0YHu2Ue769hTh34K1MGiMfg/O uamD9yvXU4tobgGNXfPoHP671Pef3H5AmQ+T78J9wIH8lpoTghshx/+5zJfJ /RcEc1H40PHqrw7mU6lxXxjMUfyUWkMId8E95l7zzNCC5Lr2EcLvCbcIfr/e z11TgqtFI/FWyd+hnSBfgD/bvrQfcCZry/wDLgWN5tslv0Y+wTPmWbMG0UrC YcHFD03MbcF5/Zma04ALQ/O2qsxH0MKh0SQ/2aN8P3lfV6fWS+wYnf98UfJH 8AdoaoaU5+P3oPl7r+QD0QKiUVyRWuOGdhFN18epNSFovdAgriz5QvItOLrf U3M4cHdwfH+k5nDg/uDg/kptL+Hm4HS+Ta3hg+uBw/s6tUYRbg+N4kepNZlo F+GEvkmtMYMr2rm8fjRCaMHQbL6ZWuOGlhNN3vLUfCxaPTStaFuXCjcL1iyi XYTDaxqsAUQL+Lxwk+B4t2lu//ph8ProX74PF0drVAeX528eHA83y+0vPxKu F117poYA34dGZt/MHCPamWOqrisR875amNMi4YKjWs91CTfJ7Z/R7qJxQ9+2 pPy9cI69MnOYcJFwVPtk5gzhrtC89c7MMaKFQ7PbvuRb4M7RpG6TWWOMVhWN 6bYl/4L2FE3SYyUfRG4Of3N/yVeRa2I/O+fW68F9ovFbWvIX8NdoDF8o+R60 h/Dby8p8/tLCGjv4cnJGckc0vmvK/H19fl61FnaE8E/R+j70C+gV0KrBie6a WWMLVwqH2zWz3gFuF87zv9ScJVzoB8H1FjQFaA/geLtk1tjC/cLBopdAHwE3 20/nHJi6Jjk3WGMD50P95dNgjfHnqTWzaI9XBvMF5Eznqb9NdOwJB0w9CZ+D 76lBPCPcLrq+V7uMR2cH176ogZ0Wfb7rctcTifc5HrWpemU8i97w6cSaTfhH 4i90SeiTLorWFDcv+TD4NOrF6Buw/9T220ZrDaiRo4ck3kFngN6gqfA1wdoH NHnoxw4Pvnb2aVteP7E0Nfkty3gIHhibje0mhyOXg59FW7FtcOxATY/aHhqm Mbn1p2ibNieHqViTgT5n42gtzlVlvEwOQC5wdcX6R+K1xtr/DOFj4Ie4hoo1 KmkZP6JDpEZ5pnAjtV8r1mihRdsmWKtCTZLaZI/g305Nl9ruhmqfVMwBcn28 47zrbNsoWrOC7rFZ+T4xn9+yqhwn//uoYk1VjeiYlNj0ozIfrButZRla5hut hUNqf4LeFQ0R/AA1dfJz4s8lufWgsbyfCyrW/O4fzZ+sxhdWXF+F469k5sTh xocKZ5lrBs+W8R86bDjJSdGaPHQ73JO1ZX6zpOJ3Gi7szWAtFOekHnu85tfO zMmvKBzjEOsQA4XSX+LPiGGIBclvGybWGKB/HKH5MXONZrn2Hy4cMtd4XhL+ RXMWVRwTv1PGC49UXKOkVkn+2jZxzfw/8pvg2BwOroh+vtwLnjnP/stgbekF rFH1h+l8eeYa0wvEcdp2TcXvIO/i0RovMteslhXmK9CmU1NZG/1NRrPMNQ++ 1Xg0OLZFg/aN+iuCz8U7OS6YPyK3ubTMd8kpyS055xfsG5xLY6OoDU8OftfJ 0fAn8AVwE4xjy8gnWRvkYPgnOJYryueFLeL3oHWbUB7/gmDbRcxD7HN6bu4I zQr6OPgwNBPoW5YUXp9w4Cdr/BVi2+hnwzPj2X1f2ho0hOSP+wfXF9FIoZXC RmGrvsqdi5PjwoXBEZH7Lom+tzxznv1AjU9IrIlDG7c4+l3lGfGs0NeQ26Pp Q9s3Vu0CjY9hfZMHRb9L+FR868HB9V80eGjxbg/mcnqW+Qo5OnrSerlzd/QT fKuAJhiN7/G5uYthajvCHcRSf5N77Q8Irjej2UO7d0CwFgyNF1qvV6N9Lz4b 3/1KtK/GJ+Obf82tPUQjSX69PDo2wKfj218SfjixT8e39wrmXuBgqG+9HO3r iSmILbgfaC/ho+Cl+gbX79HgocVDT8S7iUYTreZ+wfVkNHlo8+AUNs/Ncazn OqrmmltrzrsaWxbtK/Gx+Fo4RLhEOJdF6i+N9sX4VHzri9G+GJ+Kb+0dzP3A AdUv94crJScnN1+k+ScktlHYKvjhx4n1Sj5ocLA+gBoPtZ4no3Mf7gfcFHzv iML7sC/69j1Tc/xoiZ6K1l5yfrgoNA+PpLZJ8G1wznDPaH7fieajODcxHLHc 8mCueFhifhWfg/4MzgBfRI5FroV+uG2wnhUuEM3Nt8H6ULhW3tmv1D8xONbg /qBfID+FO7g6Mb/5bLRtwYfjy58RnpjY5mB7yNnJ3eHk4eZPyr3vadgb9c/K fe5Thc+Bl8ZmJ9asUl+n5kLthfzkQ/LjaNuGTce2dy25ylPUzi6PRx9Nexvi ymjbiY3EVi6IjtWIuYi9FkbHsvggfBE1UOpPaB7wNyODvx2jRkCt4OHoWI0Y mFgYvoLvypgzWWNPRPsacl5yX/if7rlzXvY/N7f2D36QbzvQK/GtCBzkQPX7 BOsl0PCi5f03t7YbjTr5/Yzo3IEcjlzuxuhcjhyNXO2u6NxzfY5adc7wDteb O5e4MzqXWZ+jCt8cnUuRI5ErweXBvaLphe8ix3ib+5U598CGY8vh2Mk94JiJ nU/PzD3Dx+P70VQQX94RnQutz6GqzuHITbPcuR3xENzml4n9zw3C7RPnSORK 5EDv8nxy50a3R+de63OsqnOaFbwvuXOd2zTeNylzNOH50dwVOTO586xo7oac kdzxnuhclxycXPzu6NyaHJhceF507EzMT+wP58jx4AzgDm6Kzj3JSclND839 /QbfKKDfvTc6t4cDgAu4T/jQxBwAXADf58FtVEr+AM6IWk3IzSXhf/GNcEhw SXBOPTU+JTMXBScHNwSnDVd3fzS3QI5LrgsfT2yOhgU+AS6I2BENP/zdw/r7 d+KYrJqbg0e/BicHN3dLdO5Ozk7uPjc6tyanJ7d/PjoXI2cjd0NPgz6RZwpv jR4QrSD8C98LoVEmXoefmQFvGJ3bkdOR282M1orDsfH7rhOuUTHHBtcGJ0V+ S05BbvECOUviHItcC86G95f3GC5nTnRuDicANwDn1bfMT8nPntP49MQ5Jrnm bOFuiXN6cvtGhbXHaJSpB6FnQ4t7nNoo9R+K5jrgDOAO5uiYTSvmPOG34AR5 3y7OfP3To7lCcn5yfzh08FmZuXVqFOiDexWuXRBTEVtRwyJ3Ry9LLRiNDt+k ocEm1yHnIW+7PppLIGcld70mmluHs+f4D0ZzHXA0cDUPRHMhcCBwIddGc/vk 1OTW06LXNzkzufPClMXoGlAr3pHo2iM1J9b/VOKPxDk1uTXcNrWP9TWQ3Hwf tWhq2D9H6yv5do1vJAbk5kSJT9BmwZUSMxE7oTHmew3s52yNjxU+P3c9bEju e07+SzyElhX+Gh4bvr53YT0u/hWOHq6ebzyon/PN5lOJNdxjojXb6KDQQ6Hl RqNJPkv+Np5YNFhrdUtifQYc95TENTO470ODuV00EGghzonmmtFIjouuWVG7 4psp8j34VXRbHHN8dP3riNSaA7QHaDp5zjxvtFl8gwoXe2OZP3MPuBdNKtaT EwMSCx5SsZ4XDh1tBz4KX/V68G/hN22g/mHBWjg0p2jvuefce7Z1j+Z85ya+ Rq51dXS9hByMXGxJGYujaYP/e73kbvlmGn049T5qrXzDi34Fn4/vZ9vJueub cP+NK9aXws/WLazRI/8nDiceP6KcT4xArLBp6e8HBXMHxB9864FGgG9Z0aih HRgSrC3hmxH0oYcEa1PQnLQq7wffShMjEStdFsxl8Q0131KT73BtrEnWJvU+ vm1Eg39cdP73eeIaKLXQo4K1Lmhc0LqQH8G18U0k30YOj35WfOM2Ivp7N7Q8 Y0q8dzBXjL9AS/VqcG5DfECtkviO2jmasofV30ftkMSaKrRV1GyI/Y7LXcuh pnGMrmVl4vyW83MuOBy4HL7RXZxas4B2gfpHw9zvNO8DHDq2GpsN18I3AWge 0CfyrQLfLPAtBd+s8i0D9hfunHeY+u2RwVofNEmbl+thamoO4c3CNQxqGayR xwvXi3m2aBLQE8FZwzVMLdfPsGBuEH+DFov/EwC9Od+kogcYKnxdYs0R2qOj g7VZaLjQcg0P1jKh2UK7Rb69JvE3iHzPSf2AvIr86ofoelGXwvp7tNrHBNe2 0EyhnRoRvL7QSKGVGh2sjUbDhZaLnIPcAw03egvqGWj3+b54J+F+uWsLbfFB uWti1Mb4Rov4m/oW34HyPWjfaE6yVWJNE9qmPtFjxBxtNP9/wfng6PL5847w rvCNAfqRB4K13nAm1IOpKVJb5Js24v+Tg2tvfHOFfhrbSu2ffOUnbesfXauH czyQ2Ci6NsY3RHWi62UtCj9D6v3HB+uh0ZSj7z0B/iCxph89Lv+/A1oOOBT0 A9SCqfWT77TN/c3Ie7k5QbhBvh/BtpGToWPhewu0Lh8k/v8V+F6Eb8tj6Z+w 12jpqPdeoI3HBdtuNHlo86gPUmvmm3b48pOCuVs4XPTc6Geo5ZGj8f0xNUa+ X+WZ8Gz4ZoDv2ohZ0FPdGl2bhnOFe8XGYms7pf7/GKh5U/uGI6KexP2kNkzM RexF/ZpvGtD4o/WnFr3+e/3E/x/AzYVr93yTSb2EHI5cjv8TgP/vgPwKW0lO h87jnMJaTTRaaLXYv0diTqFzae+4Ns4Hf0/9tF3h72341ob6Yd3c+8A3jtH8 BYm/AUDffn7wu0zNitoVOQy2CpuFHvH/03g8Tw== "]], Polygon3DBox[CompressedData[" 1:eJwt13m8lmMex/GnzjnPOahIaKZVYhrbJBnSIhqV9mkoxokWkZKKSmbaVUQS WrUYS6ulBa20q1Ro31Ra0b5Iq6V5/153f3x77u/n+l7Lue5ruSvVov2/2uVN pVJLKIueS6dS5zJSqbr0OX8FX5X686sFb8QGCNbDvsBa5qRSK/mv6S7sJWyV 3A1yr2DlsGex+Vg+rDP2LHYUq0ofYWm+Ix3j76aPsWx+ZXYqdZJ/gL7ELsWe of38nTQOO6+9WtgsPi+1xhZhZbEO8Tfo92KsI3YvNgTbhlXCRmDVsaHYdqwy 9ha2Sr9nsYfoK+xymW+xM/yDtAwriH2DneYb01LsMuxJ2sZfT0Own2Nu5E7x jTKSeS4g8w8azG/Vb0VsuNx92EfYSexh7FOsDfY9diMNw37BumC/8vXoC+xK vjP9wtegz7D8/N30Mr9Gezdhr6q72ljOY81oPVZUpjx14hfLFcC6yFXCesS8 Y8Wx3lgn7ARWnT7F8vG3xrvjF8rlj/UjVwHris3DimA9sJrYO9h+rA42HuuA 7cMq0FjsD6wttoe/hUZj57CLjXl7HutD3dsyvSOZp2mvTDkaI/erXJbcZrk9 cuXkhso8RbtlytIoubNyf8e68J/IFcK6YrfE2sLmYpdgnbAa2P+wfVhtbBxW GesZ7xsrgb2ArdVvHv21wDdixWVujDHGPOVN9lUH/yzEGhpfL9mi1J+vSN3l FskVk+sldyfWDVuAFcV6Yq2x7dgNNBQ7gd2AteWnyWku1R5bYyxhmuMbPBaT aUDz+Cfs1VWxBmiDXFquVXCqqOweuVc8r9XezeoOlJuA3St3f6wPbCK/Tt28 2GPYJqwEth7LwFpim7GS2Cb1N9JcZYvxYvqoi3/u+THPy5WtoGFYdXX26vdW bQyPfUoFzNX9/BxKa6MB3SLfkL9Y2Rsyk9LJ2RBnRA38g3Qy1zHnOfxFtFG9 OrQKK6Pgr1SXL0+l9PmHzCW0ia+ifh9t/VnmDmX3Ym/TG9gPfA1tDFFWBatt DM3VKxjrgj9AF8V6pfZys/121d7lMlmee8tv5pvJjfQ8Eq+GH+V74gfiLORz om/s3djDMhX4xvpumJ3szdijpfFraRvWW+4gVp4fRnv4JjQIu9a4r4izWW5J nE/Km1JN/S/lx0c/Mqe0nxvvV7ZdOjmD4yxuxg+Q2U8n1DsVa1f2GX43jeNL 0e/y69Qbg72ekbzLeKeD1S+NV9NfHc+16VjMJ3WOs1SuZKw1mU/poTgPYw/Q YZn68e7i3uGvp4PZyTuJd1Mk9oC+t0ef1F57c/DZdIYfE/Pn+Rq5VnI7sOvi 7DWWXL4kbcX2xd/n+UBmsj8XxNpNJ+/rlXi/9J84C+Te1MeP2qxpzEO1m4td xR+RKUab+UOxtpTdFmtV2bR4H9nJvJ2UKUHf8cOpX+wX/HbtvRT7ktZTd2XD 8B5+H1H/zVi7srvULYONoBf5LTJ3KOsfe02ulzG/LHMpPc/PxTvGXSJ7O/a9 eq3wrfxufrCy4zKPxh2HfY/1xX6IsWML4m6M/aef0urWpML6qIxdHXcWv4eW 8svoJ2UF+b20nF8R84oV4kfToIzkfI5zOpO/XR/PY79nJnsx9uTQWNNxP/Fl jaWPft7H3sIOYw2wMdjYaBM7jjXC3sXGxXvHfsYaY+9hI7FXsR3YXdhr2Chs ILYTq4q9jvXDivNnjSWXP8HPi3tP+WeyDT0fx96L+ecPydZXNhp/J94XdgCr i43CBmP/xb7BymDdsCFYL2wd9jesL9YZq+W3aqwh89Ip/lYaEO9DrorcIOXv xprBDmL1sJGxJ+KOw5p49pNqF98v6WR//xb7VJvf8ovUXStwEw2XOyC3GFvH 30wjsP1YM9nVcVbTi9hPF87oOKvnZCfffH/KSb734rvvc2xunJfY2jj39NtZ nx1pp7JvsW/oi+zkDioilxvfdp6vpJ5x7iv/ipbR7Ozkfigst5X/jubH2YWV wC6L9aaPhdqvRKPi/I+/hWYpmyN3ldyCWJNRh/rrY4fyLbSZ5in7Ei8u18Rv btyBcdeZr988Px77329pek3do8paYhv5a2ggdgR7DNvAl6JXscPYk3Guxb3h ubjxbYl7Qm62TPOcZJxfXrh/szKTvmMMfZTdfOFeu8nvSm18TcPk+sY963lt nvgwdvfSRs8zY//Srjgj08nf3iInmceYz8n4h1geaqXqNOyBdHIXt85J5iLm pEzsb+39JTM5O+MMbRF3utzVNEDdQ3JNsVV8UeqH/Yity0rOhsrxzUhH4g6M d62tRpnJvfSCes1pTcw5vYTtk30C25yR3FFxVx3DPlb3g1jI8U78TMWW0hKa mZ3M45XG/qHniZ7/0HdLucmxTrHDWG2aFU3E2sB2xPcNjcdOyf0zO7lP4169 yxjflluC7ZSpRBPkTka/2C6+Mk3ETsc+iPOdr0UzsbzqfoUd5O+jGam4xL2D +B7ga9J0KA/2YHC+IHXFdsY3odzX/HVU1zs4GN9H6eS5hbEVpj7x/wK5STLn jftxdadkJXdeuxgHNiv+T2NeHorxYJdTN7ld8d0R3xtxHnpuRL34f8stlylE 3eV2xzdGOtlnT2lnG7+dGvD16R7jKG5Mx+ObVv1pfrOpnbqz5KZgH/MZ1Aab jk3CxvJn9f0o9gE2EXsfO4M9gk3CqsX3QYwBWxP9xBqIbwu5c1hTZR/KTcOm YFnUFpsRezbOY/60XBNsQvyN6WR/t8lJzo84R+qnk3Pq8ZzkPIpzaaq6k7HM +JvjjMcellsR30zUA9uDfSY3nc+XkdwFcSfMwGbyBeg5bAH2CTaVT9PT2Exs OjaDz0+dsfnY/wFEPhL3 "]], Polygon3DBox[{{1488, 1487, 2021, 1240, 1241, 2022}, {1618, 961, 1243, 2023, 1492, 1493}, {1938, 889, 716, 715, 1064, 1678}, {1619, 962, 1363, 2034, 1494, 1495}, {1933, 1380, 846, 847, 1381, 1934}}]}]}, {}, {}, {}, {}}, { {GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl0jtIlWEYB/DnaN5vzQ1KS4h4AaVNwSBo0MmxhsoyNUpXXSXIQXHQknBW BBEUMwXJS2pbDaWW5SU3CQIFcTHK36dwnvP7P893zve+73fO9ebOpo5URLxS y0KSB72d8XlGxFXW6LvlEvkFKznAOo6wkeO8x1k+5To/qm55n738zWGecoyp TJ9nEdc4wRvW+qO+6hd5S91Pj9jQP+AmH3KLzfzGR/zOx9xmC3/wCVvVT7mN O7yTFlHmnp+uRBxx12yK5eqz2TH3zPrkXnlfbvfdX2wwqzQ7UQf6Jd5Wpfb9 RV8vX5NX5QK+5X9nHeUJX/OQL7nLHdUlf2A7Z3iXY2zgG9aynxXsYXGyN/dO s9aaKkqeOavVurMV6ldZwBXmJ/tkHt8zlwvM4TznVHbExQ//Ts4Sb/IfO523 zdxyMcS/yVquZSR7pcsxTY8nnhlOyl7R6EJV6vL/dA4zfFAC "]]}, { Line3DBox[{1389, 1788, 1789, 1787, 1930, 874, 1929, 1928, 2036, 1577, 1390, 2037, 1578, 1391, 2038, 1579, 1392, 2006, 2039, 1746, 1777, 1819, 1580, 1818, 1778, 2207, 2018, 1747, 1779, 1820, 1581, 1870, 2027, 2222, 1869, 1790, 1582, 1393, 2040, 1936, 2107, 1394, 2041, 1583, 1395, 2042, 1584, 1396, 2043, 1585, 1397, 2044, 1586, 1398, 2045, 1587, 1399, 2012, 2046, 1588, 1676}], Line3DBox[{1401, 1677, 1937, 2185, 1400, 886, 1402, 2047, 1589, 1403, 1842, 2048, 1590, 1843, 2007, 2049, 1748, 407, 504, 408, 2050, 1749, 438, 589, 1326, 588, 1791, 1591, 1710, 2198, 1678, 1938, 2186, 1404, 1939, 2108, 1405, 2051, 1592, 1406, 2052, 1593, 1407, 2053, 1594, 1408, 2054, 1595, 1409, 2055, 1596, 1410}], Line3DBox[{1412, 1940, 2109, 1411, 1941, 2110, 1413, 898, 1414, 1859, 2056, 1597, 1860, 2013, 2057, 1822, 1877, 1878, 1679, 2187, 1656, 1750, 1780, 1898, 1781, 1911, 1711, 1900, 1191, 1899, 1680, 1761, 1782, 1783, 1712, 2199, 1871, 1681, 1792, 1942, 2188, 1415, 1943, 2111, 1416, 1944, 2112, 1417, 2058, 1598, 1418, 2059, 1599, 1419, 2060, 1600, 1420, 2061, 1601, 1421}], Line3DBox[{1423, 1945, 2113, 1422, 1946, 2114, 1424, 1947, 2115, 1425, 910, 1426, 2212, 1821, 1602, 1844, 2215, 1657, 1751, 1768, 1887, 1907, 1906, 1682, 1889, 2226, 2031, 1888, 1658, 1753, 1784, 1785, 1713, 2028, 2223, 1683, 1796, 1948, 2189, 1427, 1949, 2116, 1428, 1950, 2117, 1429, 1951, 2118, 1430, 2062, 1603, 1431, 2063, 1604, 1432, 2064, 1605, 1433}], Line3DBox[{1435, 1952, 2119, 1434, 1953, 2120, 1436, 1954, 2121, 1437, 1955, 2122, 1438, 1282, 1845, 1439, 1846, 2181, 1659, 1752, 1660, 1793, 1794, 2017, 2182, 1661, 1754, 1662, 1795, 1799, 2208, 1798, 1684, 1797, 1685, 2200, 1440, 1686, 1687, 2190, 1441, 1956, 2123, 1442, 1957, 2124, 1443, 926, 1444, 2065, 1606, 1445, 2066, 1607, 1446}], Line3DBox[{1448, 1958, 2125, 1447, 1959, 2126, 1449, 1960, 2127, 1450, 1961, 2128, 1451, 1962, 2129, 1452, 1237, 1824, 1823, 1879, 1453, 2216, 1847, 1663, 1716, 1664, 1739, 1800, 2209, 1763, 1665, 1762, 1666, 1801, 2201, 1804, 1803, 1688, 1802, 1689, 2191, 1454, 1963, 2130, 1455, 1964, 2131, 1456, 1965, 2132, 1457, 1966, 2133, 1458, 2067, 1608, 1459}], Line3DBox[{1461, 1967, 2134, 1460, 1968, 2135, 1462, 1969, 2136, 1463, 1970, 2137, 1464, 1971, 2138, 1465, 2026, 2139, 1848, 1466, 1292, 1849, 1717, 1741, 1740, 1467, 2203, 1733, 1734, 1718, 1743, 1742, 2210, 1468, 1806, 1807, 1805, 2140, 2014, 1469, 1913, 2141, 2033, 1470, 1972, 2142, 1471, 1973, 2143, 1472, 1974, 2144, 1473, 2068, 1609, 1474}], Line3DBox[{1478, 2069, 1610, 1476, 2070, 1611, 1480, 2071, 1612, 1482, 2072, 1613, 1484, 2073, 1614, 1486, 2074, 1615, 1488, 2022, 2075, 1616, 1850, 2217, 1852, 1853, 1721, 1730, 959, 1861, 1769, 1770, 1722, 1828, 2202, 1617, 1827, 1826, 1901, 2227, 1618, 1493, 1918, 1919, 2232, 1619, 1495, 2076, 1620, 1497, 2077, 1621, 1499, 2078, 1622, 1501}], Line3DBox[{1500, 2155, 1983, 1498, 2154, 1982, 1496, 2153, 1981, 1494, 2034, 2152, 1917, 1492, 2023, 2151, 1914, 1916, 1915, 1491, 2030, 2225, 1882, 1720, 1736, 1735, 1490, 2016, 2204, 1744, 1719, 1851, 1295, 1489, 1880, 1881, 1825, 2213, 2021, 1487, 2150, 1980, 1485, 2149, 1979, 1483, 2148, 1978, 1481, 2147, 1977, 1479, 2146, 1976, 1475, 2145, 1975, 1477}], Line3DBox[{1503, 1984, 2156, 1502, 2079, 1623, 1504, 2080, 1624, 1505, 2081, 1625, 1506, 2082, 1626, 1507, 2083, 1627, 1508, 2218, 1854, 1628, 1855, 2219, 1667, 1723, 1771, 1985, 2206, 1862, 1772, 1773, 1724, 1731, 973, 1714, 1690, 1725, 2214, 1831, 1629, 1830, 1829, 1902, 2228, 1630, 1509, 2084, 1631, 1510, 2085, 1632, 1511, 2086, 1633, 1512}], Line3DBox[{1514, 1986, 2157, 1513, 1987, 2158, 1515, 2087, 1634, 1516, 2088, 1635, 1517, 2089, 1636, 1518, 2090, 1637, 1519, 2091, 1638, 1520, 2192, 1691, 1808, 1863, 1864, 2220, 1692, 1774, 1668, 1726, 1732, 1738, 2183, 2015, 1693, 1775, 1669, 1727, 1252, 1834, 1833, 1832, 1903, 2229, 1639, 1521, 2092, 1640, 1522, 2093, 1641, 1523, 2094, 1642, 1524}], Line3DBox[{1526, 1988, 2159, 1525, 1989, 2160, 1527, 1990, 2161, 1528, 2095, 1643, 1529, 2096, 1644, 1530, 2097, 1645, 1531, 2235, 1931, 1646, 1932, 2236, 1694, 1872, 1874, 1875, 2193, 2029, 1715, 1786, 1695, 1755, 1776, 1890, 2194, 1909, 1908, 1696, 1892, 1893, 1891, 1670, 1728, 2024, 2184, 1837, 1836, 1835, 1856, 999, 1532, 2233, 1920, 1921, 1647, 1533, 2098, 1648, 1534, 2099, 1649, 1535}], Line3DBox[{1537, 1991, 2162, 1536, 1992, 2163, 1538, 1993, 2164, 1539, 1994, 2165, 1540, 1006, 1541, 2100, 1650, 1542, 2101, 1651, 1543, 2195, 1697, 1873, 1698, 1357, 1544, 1699, 1756, 1700, 2211, 2019, 1809, 1737, 1671, 1729, 1672, 2205, 1894, 1745, 1545, 1858, 1895, 1673, 1857, 2166, 2008, 1883, 1546, 1923, 1260, 1922, 1838, 1547, 2102, 1652, 1548, 2103, 1653, 1549}], Line3DBox[{1551, 1995, 2167, 1550, 1996, 2168, 1552, 1997, 2169, 1553, 1998, 2170, 1554, 1999, 2171, 1555, 2104, 1654, 1556, 2105, 1655, 1557, 2237, 1933, 1934, 2238, 1558, 1935, 1701, 1810, 1702, 1876, 2224, 2020, 1811, 1764, 1674, 1757, 2172, 2009, 1896, 1812, 1813, 1765, 1897, 1675, 1758, 2173, 2010, 1884, 1559, 1905, 2025, 2230, 1904, 1840, 1560, 1368, 1924, 1561, 2196, 1703, 1704, 1562}], Line3DBox[{1576, 1816, 1817, 1815, 1912, 1359, 1575, 1841, 1925, 2035, 2234, 1926, 1574, 1885, 1886, 1866, 2221, 1868, 1867, 1573, 2011, 2180, 1760, 1767, 1766, 1572, 1814, 1839, 1228, 1759, 1709, 1571, 2032, 2231, 1927, 1910, 1865, 1708, 1570, 2179, 2005, 2106, 1569, 1028, 1568, 2178, 2004, 1567, 2177, 2003, 1566, 2176, 2002, 1565, 2175, 2001, 1564, 2174, 2000, 1563, 2197, 1706, 1705, 1707}]}, { Line3DBox[{689, 876, 2037, 690, 887, 2047, 713, 898, 725, 2115, 909, 736, 2121, 920, 748, 2127, 931, 760, 2136, 943, 773, 2147, 955, 2071, 786, 968, 2080, 800, 980, 2087, 814, 2161, 993, 828, 2164, 1004, 841, 2169, 1015, 854, 2175, 1024, 865}], Line3DBox[{691, 877, 2038, 692, 1276, 1277, 888, 2048, 714, 1304, 1305, 899, 2056, 726, 910, 737, 2122, 921, 749, 2128, 932, 761, 2137, 944, 774, 2148, 956, 2072, 787, 969, 2081, 801, 981, 2088, 815, 994, 2095, 829, 2165, 1005, 842, 2170, 1016, 855, 2176, 1025, 866}], Line3DBox[{693, 1032, 1033, 2039, 1157, 1279, 1034, 1278, 1035, 2049, 1159, 1307, 1065, 1306, 1066, 2057, 1234, 1232, 2212, 1233, 738, 1282, 1283, 750, 2129, 933, 762, 2138, 945, 775, 2149, 957, 2073, 788, 970, 2082, 802, 982, 2089, 816, 995, 2096, 830, 1006, 843, 2171, 1017, 856, 2177, 1026, 867}], Line3DBox[CompressedData[" 1:eJwVzK1OAmAUBuCjorIhCaSYdBZFmHMz2BzBBmNEN8C5UeUuKAT8SdpRhz+g AYKXgQG9CruFh/Dsfc/5zr7ty3btaikiyoyXI3YSOvurEXn2eE9GDOxeeOOV CgVvRQ4WN+YhH4yocmb/JKc80uOaT24oLrq/S+4e9G/u6XLLhDs6bg5lljrr 7p/tknKNTbsGG3qaFDnzL313M/nDlp5bich4H+hZuWuekTcfyabdl34hT81/ HJvL8p8T/Vwm/NeScx9vI+A= "]], Line3DBox[CompressedData[" 1:eJwV0Dsvg2EYBuDHoWFySujCYJEOErQkoonwB4hKLIZSImhS/SkS1FADm8Zg cOhBDWZ/yOh6hyv3+9zP+37DN1+5KtUGIuKA9mBEbSjibySi67wwHLFLYzQi J391i3KP5UzEvX5FLvGme+eTD0q82hfsVsnT0XX54tGuJ/dpsWb/LG+5o8+T Ow1Z4IFZd5qyzDlN+7q8SO+pMufOpTxi3HmCMaZouT8pj+1mZJZpXvRZXYUN rs1F+ZM6+5P0hr5+U7fuvCVvzNtyxz871X2bz+ShOZO+lWbnfx/jJxQ= "]], Line3DBox[CompressedData[" 1:eJwVzD0vA2AYheHHVyp+QVdFf0DTWEqaVBe10EUitRgwlHYWH5PYtDGSWDpY icGgg0WppLuIbmIWW4cmLsOd99znPHmnt2rl/ZGIWMPjaER9LGKQiGjLC5MR B7wn5+VT+V0uyk35S86MR5zzK/7Ds7zBb/iQV+R53T2fwh3PTfgbn/o+nvSX +qQ3ydexjR5PoyofYg+LOHO7403548OexRE/wTHyWLZduLuWv/9xU8Cz/IIO WvaCd8btLH7tq3jVvaGLWzdL3jl7GkP7Jh70Jb6CDXsCu/o/eSUr8g== "]], Line3DBox[{701, 881, 2042, 702, 891, 2051, 718, 2112, 902, 729, 2117, 913, 741, 2123, 924, 753, 2130, 936, 766, 2141, 1361, 948, 779, 2151, 1243, 961, 2227, 793, 1362, 1081, 1247, 1248, 2214, 1249, 807, 1341, 1049, 1251, 1252, 1253, 821, 1342, 1050, 1256, 2184, 1257, 1258, 835, 1152, 1051, 2205, 1347, 1183, 1184, 1259, 1227, 2172, 1053, 1348, 1185, 1186, 1266, 1228, 1095, 1096, 1153, 1187, 1154, 1229}], Line3DBox[{703, 882, 2043, 704, 892, 2052, 719, 903, 2058, 730, 2118, 914, 742, 2124, 925, 754, 2131, 937, 767, 2142, 949, 780, 2152, 1363, 962, 2232, 794, 1246, 974, 2228, 808, 1250, 987, 2229, 822, 1255, 999, 836, 1343, 2166, 1052, 1262, 1264, 1265, 849, 1344, 2173, 1054, 1269, 1271, 1272, 862, 2180, 1055, 1115, 1155, 1188, 1156, 1230}], Line3DBox[{705, 883, 2044, 706, 893, 2053, 720, 904, 2059, 731, 915, 2062, 743, 926, 755, 2132, 938, 768, 2143, 950, 781, 2153, 963, 2076, 795, 975, 2084, 809, 988, 2092, 823, 1364, 2233, 1365, 1366, 1367, 1260, 1263, 1261, 1351, 1352, 2230, 1267, 1270, 1268, 1319, 1320, 2221, 1097, 1116, 1098, 1164}], Line3DBox[{707, 884, 2045, 708, 894, 2054, 721, 905, 2060, 732, 916, 2063, 744, 927, 2065, 756, 2133, 939, 769, 2144, 951, 782, 2154, 964, 2077, 796, 976, 2085, 810, 989, 2093, 824, 1000, 2098, 837, 1011, 2102, 850, 1368, 1369, 1370, 2234, 1371, 1273, 1275, 1274, 873}], Line3DBox[{709, 1059, 1060, 2046, 710, 895, 2055, 722, 906, 2061, 733, 917, 2064, 745, 928, 2066, 757, 940, 2067, 770, 952, 2068, 783, 2155, 965, 2078, 797, 977, 2086, 811, 990, 2094, 825, 1001, 2099, 838, 1012, 2103, 851, 1092, 2196, 1093, 1231, 1359, 1360, 1358, 1387, 1386, 1099}], Line3DBox[{863, 1022, 2197, 1094, 852, 1013, 2167, 839, 1002, 2162, 826, 991, 2159, 812, 978, 2157, 798, 966, 2156, 784, 2069, 953, 2145, 771, 941, 2134, 758, 929, 2125, 746, 918, 2119, 734, 907, 2113, 723, 896, 2109, 711, 885, 2185, 1061, 687, 874, 1374, 1373, 1385, 1384, 1100}], Line3DBox[{864, 1023, 2174, 853, 1014, 2168, 840, 1003, 2163, 827, 992, 2160, 813, 979, 2158, 799, 2079, 967, 785, 2070, 954, 2146, 772, 942, 2135, 759, 930, 2126, 747, 919, 2120, 735, 908, 2114, 724, 897, 2110, 712, 886, 688, 2036, 875, 1372, 1388}], Line3DBox[{868, 1027, 2178, 857, 2104, 1018, 844, 2100, 1007, 831, 2097, 996, 817, 2090, 983, 803, 2083, 971, 789, 2074, 958, 2150, 776, 1290, 1289, 2139, 763, 1238, 1237, 1239, 1043, 1284, 2181, 1042, 1285, 1162, 1041, 2215, 1280, 1040, 1281, 1161, 1039, 2187, 1067, 1038, 1166, 1160, 1176, 2050, 1037, 1345, 1036, 1165, 1158, 2207, 1189, 1057, 1349, 1056, 1175, 1134, 1135}], Line3DBox[CompressedData[" 1:eJwNyz0vA2AYheGntMIvsKGDmEREor4WO5E0SCUmNN00vlXHmkQjNgSDoVMn k0i0grF7YxZzY+/gGu48733OedNbxexuIiJyKPRG9CUjKv0Rm95dFFIRDZ53 V/gfNmyW+RIW+S/mvGdxbZvTf+ILH5jSfyOtr+tH3AX5GcooYVTfwqN+WP8g m8EJTnGMQX0TQ/o8z+AQRzjAvb8D+mdkbHZk69jHO570e263J6JmM22zzdfQ wK2+6b6hY3Nns+p9I590f2RXsiqf4G1+zi/5OG/xEr/gY/yVF/k8f/H+B1Xo Lbk= "]]}, {}, {}}}, VertexNormals->CompressedData[" 1:eJxknHdcTv/7xxMNCklSKSKS0VQocslMaBIJhSQyklJKU1ukJE3tvbXn1d57 773vFRlR+OVx3/H1+fnH43E/epxz7uv9vp6v1+s659ybrz9QvUlPR0eXz0xH t3Thf78RfHdsloJ01H/W+f6R7rdkI2Dbo82BMT0UTHSU99plnIKRwqfiQ2Vj oeA5k66RCgVHtxZYGtdV4Jtb+XqqV5Khh3h8M48mCcU/3T9dVdeBZge5k29t z4AJzLa9njuG3LdOWdwVGUPnahnt6pUIrkXiGklQjQ3itwqmvpDxfmjqHPuF QpC+SD43uKcZmnz126ZUyCgtP8NifCYXbkiObN+oMATVMTdN8/inUGts6e6f Y6mwR+Yo+4zBGLDcVI6LzRrD3frJBnkNidAl7KYrHT4BF2pTXB5pjKCsVlZM v2o0RLaJh136NAntcpW6vHFDKESk88uaDIODfiR9/9op+EWIFhEwHESZXnGx C8XBYLH/uPlKHQL42L4M1LIbwH0d51d+bXkHFa8/cL1tJIDp2OEf4W/6MePX rQ3ce/2AZV6ExX4rEVpbAh1j7/bhXeblXRR1bzg+4CUtRaCgaFfY2te98WCc Lyc4Ph4GtznGtImf/9bfVjF6ycYb0VAta3V4so6C8yH++cXEdDTVtSjdwpoE Wny9lLOfF+q1I3be+HUd5it/FZO+lQaqAampbDoEzH/xzDSfdwAf7+j4bL82 H1pYg5yZdXtxc/PFixG/CCiScodR06cY3Hc5jwU8LoPquJj7sxIUdNUYPpRq WgjnbgydUNccBIPpB+fGU6bwkOmTJ8LETNg32ONwTG8Mlo/2fNPNGcOVjScK 7EXfw/mPYh/XdE2Ae2cM/5p1I7i2QCXMki8Orq2K2Ne2bwpifLNPxysM4S+F 14zniyPAyNffPn0NASrEknWUGAfxyMWpbsU1oZCWYnbRIYwAISPhJf6cA/i2 NVzM6loQNNzKUbiykgjHm1RW/8jrw7oSn27VZH/YbRDX56dJhJATiY7K/r2Y Z5tTmmPrA949YXP3KyhYqMyuc48rFyomrwulxIRCx5o7O6+MUtCRZckRhrEk kJ6zmbsXFQkP1008VPv4t/5aEdZODB7xcHZPfNPJjIXPd9GLtAzm4Lr6ig3m dilAUFBafluGjLuCt/680tSMxx7wPuIryIFrSqGOle/HUNx42OnC11GcLj7A aGRdAszFVbMvpXzQu+GrHdGWgoJqF2c7VpVBAJ2TsMNAPxja3XtIMSPg9xUl H/jL80EptDX/q+YYHKWTYJhf6Juw7sk7hP1pELyJsjePZxISPhzckpc/jLxe Z5TevE2ESebv3gYOU2Andf0+XesgnuDWaqP7GgVx0gdu3L9KAPnCe2/ZnQZw 9dVv5p4eYXC30PqQBYEA3TaHnBkk+jHiwinp3abBwNGsY7hGkQjJzE/TDKp7 8fGaqCOb1N9Bsc5LXhsvIgjQ9ezhT+vBqTcvtESrfWFtoUi2+VsK+n9m2bm1 sxjWvLAV13UIgaIfeqqfsygYP2bTa+uI0Maxfelq9r88SaLyBKJpPFny8Oup m8S/9Xdnfdosk5IMW95t3P7CmYJtmJVnVlKI7Q0Hjvf3Z8KXPOd4x3tE/Lrh hSZTbjdOw7LzDHeKYfr0z/X+9q0YXr5GkEeDhJw/PKtldKph6vvB8kebumFE lPJp1JWIA6SCQpn5Yvj58NDlK6fGYMZ0P3tt3hj2TJQu1zfNgrvzsNJDfxKO +qgbGSsO42uCtdqXZe9B78dZ+Dg0BZYH9KJkjw2i0ODRyetBsRC7f9D0VBoB 3rG7qlJG+lHDZcTJSC0CiLZHnpZJE8FtO8V3PVsfPtzaJpiQGgLPcah+h+fC vj3k5UXK7MFzk3aE0HVB0LW9fN6klQi19LtXXU3pxmfLzt4+K+kPAds/B5Zc oaD+av+xrq8VwFLD533GLBj2JpW822dJQeGyXwfec5dBf/uD23ZBYVCSWCnP HE7BV9Dsdu5TIXTE+TD0bvnLkzkqT2CRJ1sDtz/wHPxb/y8hlxler0gHLsly rrmNFKxcsTLJX68C59zmDZg4C+Ga1tFEB4cxfKvXWkF6NIrGLRqeKcx14Enw yn/5sRH0KUdlfCZJyB8SVLeeUA35lwpmH+8cA+E1LV1fFrhBHxVmOdOM0PvZ /Oqe5kl4Q9efkJU+hHms67/4f06FeYWYySUqBDAfb8wVfTmANShxXn48AWLr lpuv5iLCxiWfzqpb9KGGY+Dx4zpRcERESfHYq4X9eYH5hVx+DxbnP48r3xgG 54pfLuMZIAJRMr2Oy7obnffFa9nwBsO+cvDN5SKBJveHdiuPLoSQo+M1RQFQ mF+C3Jso6LxsPWOhVS3wJYb5zdkFQbafL/9ZaQru1V9aO+ZTDan0jXmbVUOB cdZ3PvoSBQ2q5o7UTVXAz0ZVxxdykZBZJbxf0p6CS2qsCunbS0D/UNDmZcJ/ eUJP5Qks8kQs4FaGV9Xf+jfxvpuxEM0Djamek1plJEz+eD41SqoZFeRIB7NG quD9o5ra+i1RKP4Imyx2kRGe5vU/3NgKuwqaHQQpo2CX2DReljSGG7qzwhyE S0F35w9P/stTICcnZ0TXP4hTU5l9dAxZ4KITfFqzlQCWlzI7l53oR2+5Myu0 niXDjpFb+/KdiKChfDaWv6wHnyqxxq/sjoF2q7jsVgoRbOj9S66JdWPnMgZ9 xYJwWHH7htAJCRIYx7BdnuLqwidvmKTDjoXAuot2O8y1STAegyKzZzpRRUe+ VeZpIDz7MLGTv4+MKdJrpbCoAa63vt1781QgdAdfj/hOIaPL3uvf30g0gNDE xFHhrSFwxi335EEmCt7wklky1loHOa/F67LfhMPZF+HiTwQpKBvYq9fjVAMW Szcw9wfH/PEn41R/Ap40f7LIkw4qT6CDxpP2b2m825//rf9rT1fBPJdS+F4m 0rHi7iiWs1X2WzwZRmOZcLOko92wP7clavLyKDwS9T1d8HQMHZ5ZTTwyrwdl WMN1Yj0BKDmq6zi9BrBW9oM205d84Iv0VG4yXvADS7YLsDb1YGnAZ/mQ3ang ZTPXq7acBBxyGdzuoV2472iV6VRrPOywTV8rpkEC9Y3330qqd+K07LaJqvBI mHl3RZzgQgL2lwfrBZ504Mea9BZez1AI7WYIL4wjQeWeoIkP3e245LXJiFtK EOSdkxCJ8CdjQh9x1vxFE/ifDGIWTgwAM2HJ6cvhZLx+xsW85nQTmLndr3++ Nhh+tj9jT08io3pzr7b7Qh+fHN2WPMUdBtJmQhzLC8h4/oT6rluGjSCi0cD2 9W4U7NB4YRfWSsYgRQeD1pgG2LXmzmQhb+Iff/KQ6k9g0Z/8hyewyBPve3fX BmiS/9Sf6ZT89bWyLSDNTBdj9mMIxCuHJcK5R9F+n+Gnsy694PTFPE5oIxFi P6cfz27rwbchFd8nREugda+I4fn9JNj8OelOqF4nwpGZrb/SM+DEd9MOET8S nDm0I+EtsR0fMK/csg+T4B1l18sXNSSwnD9324+7HSNf5UXL9kdDcdr66E+T JGBcltbr9boN+eJ25Mmzh4Nzd3mQ3g8SvBbeIT67tw117TbZvy4NhlRbsbeD C9ffb7ZBsXB7C6jnlVtE7fMHumojHYOFz48EyMXd2toCkzuChjfxBUHxsytS MZfIaDUtdKdpUwvM7U7ZcbUiBKqZ61/JaJCxfdO1g6LcLZBFaHjmZxsBYUr4 VkmdjHzXt8gUrGqBAJ71cxEccZA7b7r5oRIZ73D5O/PNNwMP39b4FZHv//gT Yao/gUV/8h+ewCJPlrprhm3gKfpT/+/i/A9j4imwWnWOTc+SBIrBdXeFL7Sg TNy1aFazGjg3+sqog48MJb2OwUv1W/DZq0jBpje50Mx3UVBblgxKYarvx6+3 oI5lqdt3xhSIu8N9h+EUGfQf8lnwXW5Bec8BjS/WcTDvx+eTrEgGepEzF34f 3zZ96fIVFRFwXzr7O0mFDKqu8eCo1oLK9MufB82GAL/Nhmp/XjJeXkeM5fRu heNcSfq6/b4Q7Dgc9WAtGVP9rvkeLmsFL5eb5z6Zv4OzajzvhJjIOJu9Z5k7 fRsomxdrR/oFg2/fxOOJzyS037vHJ+VcGxwOny7wag8DLacyv5luEvbnNTau rW6DD5xsoacco+GDxtKMuCQS5pWEs6nbtYP4sKLuwcdJf/KOJDXvwGLeWfQn s1R/Aov+5D88gUWeaD2vZJ9gJMNi/WXiOwuW87cBj28LJ9tKCvRkD9Aza1Si /di0h2p+IYxlyTipTpBB1+uRi9mZenzJIHM9dyINTO5ztUlVk4FN8mnZtZkG vMs6cEIkLBGWnqv6opRBhv165kXh8Y3YQ3x7egKjIDvv69f90WR4I60eb7u1 Ceez7GS6VMLAlvETw4V+Em4VWdPINNIG6q/axQ+G+sC4mtEFjjoSFjtXittJ t4N9DWts75g/PFv/rFgpg4QXmSLkPCLb4cdcm9PYyyBQOtnvMv2WhM4cRUwO Mh1w4vLjJQzXQ+H5/YK2lXdI2EJ/xeQlcyfwTebOq1yJBKtvws5D/CR89dab YUq2CxgVgt+x6cQDV1nFJ1k/Ivo9ftXccrgHEmpPv5orS/mTdwqpeQdMaXnn P/4EFv3JgX95Aos8efqBpCxoRflT//0nGodI/mWwtbXXPt+WAmaP26O0jhXh /Zfsr4geWbBt5Pb4KwUKWPJZqomeqsTX6/pGfvvVg6usm2c2UeDTDR8n1k81 WBCq1jjJEAsZcrOOMksoYBBbvURwTz3en/ORWtIeDupkCdAMI2Fua8YqBbYO qNm6LeS0tTcUx2ypLnq+sK9kG3u+23XAOSWjD/se+4HgHmfeaH0SJk2fnePl 7gS6nCjP9wcC4aVTRgP7YRIay3a9VejuhJbRE6I23CGQd23GIGbJQj0DQvmy RrqAb7mZZfmzcJCZIrjrBhPxRMj55GadHtj17t5pWesYqDLa5X5ljoDWiUtN W7AP/HKFUqX3JwOu418hFjqF5gI6gj4mgxAj9nm5rFHmn7yzh5p3gELLO8n/ +hM4RPMnizxRovIEFnkSXnKv+UPZ3/ojsxqr4o58cHs2a8qQSoFks1sjZ6xy 8XrmCH36xxQ4pS57RsCGAhXPclZ8EC7FjRdGtmRGxIP6iz3Xz6tTwDRK3X/6 YCUmJadu2vsyEhzahy42LNSt0mo0qpe/E7yfK5+lN3oLDZv3+kWeIaEORef2 yYROuKtcQ6nf5gsWJQ4Pb2wl4acq6VfmWl2gziZ1I9o5AKzlu6QMyUQ8e7TU Y3Shb5/pfRFi/RoEboPC8wkhRMw6czpN0LgHPL6CvB8hFDIPSB3aJU5EX9Ge /Us294H8cmPfWzxR8Dq7Zsr6MQFD7W9dd1YeAOt3/pQ9RgkwWf3KfxfHFK59 8Vra8coQ9MyfvZLungpjtPnJBur8BBbnJ4R/8w5w0PKOzL/+BBb9ySJPuqg8 gUWeHE3gMWUa+Fv/kk8h59W80+ECT6oIby0FKnn3mvJfyFjIO6mDXupJEMsV 0WIQQoGV91YKfJMsQmumEqYrFtHAelPEuUSKhOx9Yvk7ubsgjpNRft1TL0g5 pnejmo2EvHa3NvBmd4GH5pXzsx+8gTknw8JkkIhmB5W8btp0g5Fmm8bdJf6w bMpAvm+hnndb7O/dtOyBb1Mzr7MmA6E5w9HH6gwRX7OoRFRW9oLPac67FKcQ 4MMxX/06AkbmjTWGvuiHOY2+kxqcEcCwu+a5FhMB7d6nvHRnGYSw0acf047H gqvyqs/EiElk/X4g6AbdMASPiQ1x5SbD0VO7hKsWcuC2dyI/Qk6PgfU3haYX s5lQR5ufCFDnJyBMm5/4/pt3YDMt77jQ/Ekk1Z+AF82fLPLEhMoTWOTJTxET GR/C3/rfY5VMU1n1HkKH9nS5d1PAmBhakFGYgutFfijVRcWCWv3yG1L0JPQs DG3hnu8CH4/Dx8y93gBjkCM9fwcRr7b1mevGdYNlqfsX8/a3IOtb2Z+/UM8i w4xWNbseeKK9uiU0wBf0uX3gx2Uiks+xc6V49IL7TXcXDd53wJfLlaz8c2F/ rt/l5EnuAzZxcuMt1WDg4tFNUjYh4O3PQX6dVwdg0uL+4EmtMCiNHZJ3iZ7C 5XFfZgqCBsHx/pmd3fFRcGl7z5iAyiSSNE8st1zQO9fxjTOVQolQ7Jl5qWNh P7+LPN6of2Vsgc+uQtn9qfDBwGitUf4AXg7iPRGyhABRE403jkM+iP07PwEB 2vxEiJZ3HKl5BxbzzqI/qab6E7Cj+ZNFnlRQeQI3aTz56NHO1fvhb/0dxITu NrAlQB4DXW33nWEsnz2VQL9qEmNTD7bXOReCk/WLHuU3k2giP+wlkjmEmo67 RH7Pzc68t19SmtOAZtEvTWLvklE10al5zZlSkJ83Xn2EcQi362l1VOMkqisH cFxkroCj8i4VK/SnsKq2NPIwyyAa7e6fftFTDl9POFe4+gfhwdcaHTbbKBhi Y0KaXlMLrupSufqxZDRlp+ckEmoxe42f3McPJeBSEby28Gkvbvs+ZWVdN4V9 h+0cCoqbgO65xCrDGALmDnbcFdXowtDLNVeDHzbBRobc5rUMnbCD0Ha2sIaA 6z1JydnGzSAtsJelYe/fHOSUYCBmK76Qq/ZPfF0ynopu002qv+euV87uPfN7 Dvvou8LDE7+m/vw9y3pzvXUig/BFNsFUijgFt3+OSH1W70EpK/YQ07bm/14P LF6PSluJvNaRyT/138U5vPNW+DB4087rTj0vXKadN/N8+cYzG/6uF6v7icnf +r543hvU84IE7bxbaN9XiPp9gZP2fa1ezX2ldyEDy9QJzSeq9fBe71AhmVgK Xf/WHxbrL6vyycugbRLeLVXqT2gchKsKd400P1bAg88/2m/UDMC9c89E1ztM gYS+maR+YQU4XHWU3Pv1bz2Zk02mY9IioSSFvZThMwVXV/GEqNa+AzmyK0u2 WzjIf6bXkcjpRw6RQNUkYwJ+/1Br+jsflWU52Mme9EQLgtrIqcSF/cBz3+Y3 t/evXxvWpf8elPh0L16LpiDHrWVy2hsLgL2oPqHqfTf4xtc/OhtJROWWlS7y +dlwpPYqg69jLwyk3di+XoaIa7nfHnupkgn7mU1YprmJcF/ykd0Kjz6Us92d 9kDdF3aWRM76AhHcfSNRgKkPOXjO15tNeoO3iY7uywkKNp0y7mxMS4T92wKt n0hEgHF4QYFK+xB+6d/fQ7o8ifT76TkuKpRAZwdlZYJLG3ht/nKcLpqEJRv6 Kjn8C6BC+4Hie6ERWDFz88n+xAmk+2gfNb08Ax4eOxfD8IKEdeu+JWoIt+Ot 4yZOF6ULII7PSsfo0ySqpjKfklzop9gf3C2/ubo37sEe7ffVcOXElTiJMjJ6 Zwwd/53fa3bs0iC4DcPBA2/IehyT+LqtQbSHMxfypuuVGKoGMOKE6PfIA1PY rhMj5XytFgT8HNaPeA9BgtNTCVzQB08sk8z6VAjM87mOWj+n8LIjV6LNtn48 7Pil7Pd+MKKt+x3quuPiuoefNguwC52AGMvowJ+8IxjT1UB5K5QLSj+/XDpd 34p68UvP8h0lYCxfjEr7wwUfl813y5B3EjZfUwv9rDyMkWnpLaeZiqDS/Vr2 CVEilu9a++N5QCOuLfVvuBLd8d99iIv7sGvbXADXgh5UW37a+6p3AJVCSAQv /3FQLIidNFYcwmYBW/ti2z6InA9jc9Yc/bP/man7H5No+//Yv1yCRS5lZAfb 3pIdw07OwYpXnSMQIp/97HcfsXhfUE86SoDEbc9lLJ80g83H1G+/c40DjZNP qJyEyzROvqTxaiuVV9BL4xX/tVURdWx1YF99cWOxKBGSjmprpit2Ad3qquWh zJNIQcaEayHDcPtHhh7lac4frgpSuQrnaFz17uv+6t5Ug5abYnKWLOSq46dt OXc2NAD3gcN7fC5MQSaf2xA+HgAGoYN+Tjl1kEXjfBWV87DI+YrJmtF24S50 tTxeKRBChFZhQjvvRBmwXrAt99DuA4Gxip6rmwjgbedg8Vq7DpbefX5BtpUC rO/tGMx105B1gpzW/zkeNKSjGuiWkzB/QGnps94uKNZMGJbd9hbWrzuxNGED Cd3Oy40JvOiC2uHO9bxMXnBT0XVWcvcIrssRXN/gMwEpZ0uEXrzI+a++gBJN X5bz5Q0l2ubCrRdaEx9EKHB9kvPy7/0gZlrAW763Fc+GeoUwtZKg5bTcLrJb EdicUnBcrUWCG0ubVem/t8OOuT3X/SoKIEvz45zX1XYY5f4kILuXBIEy3xzf Xi0HKcUDRUKUv7zdkOO7aZ1eEojmjbtsHKFAnPAdl/VOUfC+NDyUbXcy3CO6 HWr8QMGW8rDxn9bBOKYfwnXTJgr20K7nDPV6sJ12PbfTLGZ01OuhxjTCU6Cc jHwNRxJvqiPYyE1kFf4gQLayk4Tqtz60XXHAXfe9Dxhkfmpf0kNBU8aiz5OZ adDIWzIkeiIM3u3MDOLTTYe58Et7/awoeO7OPvbfPq3aYYP0s+wBWBcUIO69 moBryJfkftdTfJpx59r9pchumuZT+oGMBMEU3t/9e2WZlqN1Wy9s+eGRxfWN gIe+dZ6svrXAYVp9Rqj1wRBafTp05AybLIrhm1C+iq8RGRv7Hwlwr2qER5ff mUizj4FSxCYTvcwx3DHY48IvXATn/XQGJzNHIbD2oNm7oDGsf9Mxm3OhEjxV ZBx3xIwA57KpA8xbxzBDjnXpzpgWMO2/6OeziQyzqx88P89TiccvEg498GiE YLr1DhNhYwh1qRtmSkfhvGrNmubrFSBIZmW4nDWGusYm9CXrx6BAacs3/7hC SMktXClZRIHwFzstyw1yse552Yabz2NAryg/7eJCrtlBnNFeotwNP5g3eZRF eQHQ9GgdVY9glqZHYZvsN1PuT4JC5rnURylDQHpef/e3DzH4IBGjSaRA5LTm QQvvMDRddVv3aWscpP/LDVzkxupPR45evUbGenlxnoU64qD+VrUGzQZYS+OA A5UDuMgBpX85huE0jvHQ+jqL2te4nNbX/+EnLPJzBY1X8VReoR2NV0w0zl+i ch4O0TjfTONqLZWroEzjannA8jsFDBTwyLIxeQdFeGHXVstjrpWg8i/nIZrG +cV1/ERdR1hcx9e0dV9HXXdIp627c7RARuGDRhwOeCT7djUJOd+Xdqcv5GaL nYH7GB5Ookbm080navsxYfSn1ciRNkiU7ctqDR2E0iXH4sX3TOKbZ68E2kIb Yd9A/4uvpGa4Q6iLeTw5gRuNLgdLGwyCnMamdPnmkT/+hP756JGW0xNQc/xR 6LZA4p9+N3H9qCgY2ANS/x4HFo/zJONBl9GBHvTqVfcbcBjHpZl65UtNB2A0 PJpxldQkxrhH3b891YYttzZst1gxAKfnJL+/3TgBxPZ1NXdlBvGwcraL98YO SD7BtiW3oP/PeWMUfslGVBD+e3xYPD7lyg+9b5vHwVzklOy3lE54qhP4YO7H INhpvB9Qyfw7T0saoujZExpB4d/zAtDOmxJcqKWcXw4judtIo/Ek4Bb+5eJY 1gKB/FLnn94ZwY2PeEx8lw7h5Jpq4o6GAegT1Xa+yj8ICaJrWoeLhqFjZW5A 8MMh4HHWFTKWH8bXMvGCHjwTUOuW/li3vwG2GzaOFv+PD3zRKnbMYSYCRLgp mdk1XRh41aSqPJ2InLqBDY29hRDkfHHDR6l8HIrZaSVmSsGq4SRzk8BCWDnb V6symIT7C3t8TSIoKGL1ZqnKYAFUsj29ZbiJCOZMxZzBln3I/vFTiP8ZHyAm Mq1iSh9EDv26q8WCE5jVq33Xc8GHXagtzAvxJyG/AzMhYk8N9ji1NRfmNcPm l8nql80mUS5VvYtNqQerfSfaSfpdYHCHqCbo0QdSTnk7qp9M4t3x+A305e1g FeztZeKWhwkCB3kjnwwhcYBQ/ax38r/1wcX6/Gc/QCttP6xpdH2ZfLQbGR+Y 51gs+Af1rU0nf/cnq7tsf/DmSWT/ed/o0cwg0Kc3e3IWNoBvtOpdjo+jyGpz KImoMgLz34QZhYragNVl/By3MAlEijtlshMKYZTF4ZJ+YQfIbx7Q/tKfgEsN v5768IEIjzsq7D8u7QbBqc4atYddMLpxXc7s3UnIvzXuy2rWA7HR31JT+Cfg XtEm4Yusw2A/UXVTrrwRZHYbaFoykLCR65nYRVIXZD95bkRU94JheaO6wLQi LGMS+ZGyoL+VZXneI82lsI572bmAmGGYZXvdc+zNBOSer57J+FAG1Tb8vj7T f/U0c9Tkm+C1RBCicfsGlduING7zzZVo78gswERZ05dnNCio9CNR0N6mGOiA cVCyj4Cvy7fqeCj04Xgd5bXblwKoovmW51Tfgi003/IfvcBFvRjnnVWdYCfh WbNjAndlOjDMyjDu9/zT518fhYs+atE/h1P9M7TQ/HMPTQdnqToIizp4nuPO 1JNSIrQvT4eZ651QKdW1Mim5HLb+q7+wqL//0UdY1McddJHXbrsRQFNByPGZ Sj8YX/Wd/u3TZudW3uR+3I65zmzXA9VIKMPBukPdsQQEzzwyTwgdwa22Hmte NoyjkU3drY0yZcBN80s3qX4Jb9L8Ut1t0TtGphV4N1PA7pUXGXe+2y7o6Frz p689qH2Ni33NTPOB26g+EH1pPjD+X57gIk9K/z0+7KYd/8gMlwndj3FoC931 wvrHMDydT2e2ma+GiFUrhBLMuiBj/eir/qtECP35vizBrAriT27b6brAkxb2 DaeuyLuBjFs3T/doOHSH2n2oom/H2oD1xdYuJHywfW/M6O1CkIjj5b1lWwJE 2c/PH52n4Ez9zlVnxhE4u1/Pb/nhD0xS2+8OpVIwg/vkoyWTBXBzvcK0lPIE 7rkINu1HRjBBethz5WQRFC9ff5xHZgA5xX71WLMQcJbVKLk2pBSsnNf3iddN 4Kfg7wXFHMMY0lY9HpteBbvsN5wb/tqBbyv5mmy0iMgT4rRqc3k9KND6kZ7a j2hC60cyjecWVJ6jBY3nq2h8WEHlAy7ygXe5lSnD4DiEHdbksV3IZW/j2Hd9 WNMLT//VR1jUx9f/8goWebXlX+5BHY17LzoOj39WqYT3IhnLwrlbIfhqbcpZ F9J/uQqLXK1wGFhWIEgCp6cr1zom1oFZcGNBn1krOP6r47Co4//hKixyNQje PP+eGop9q0/dLawiw7tH7r8uHGqEhH/1HTxp+i6hzxXkU0WAiKcjr8jYA4c4 OJSPt1aBs7CdnXJnE1bECpmGzC/4eU5GOqUf5SBp+NTzknkBTJke0zw9TgaP tMk9A+01YL6MeGzd2BBsmxfTGOudAOt4lpX1ndVws78iKvp0PXRHMllvvEeG uBdfmk9fqPijX0FU/YK1NP0iVFMyubc2465QL/eNm8kwqVjc8qazGJIfvViz zLoUtFblf35KTwEf9Cu6tb0cVAOb6moe9QDfqFezAQMRmCZldklsrQAm96FI kBvEwJea4iXPp3DE8pTt8jdF8P2SeqfDyjr0DOUK1c4l451vl08NbioGW6XA ZQz7U+FpSp6O81sKsrxZdY8huRAGUvONCtYQIS3v0nrR5D7kyHtey0znA73/ chvraNz2t9sxkW3ViyJfI4fyIwn4RbrepLi+EpRvTOXax/tj0vTEht/P46hJ mKo2rK+Ek7rP3vL0tMCjN6eTM2tIWOdpzbGhpwR20uo8Sa0zvqbVeaeFXL7p lxaQ8xY2fMBHwioW4zDi2QaIoenOA6ruoANNd45+C6mb2TSC2yrovE98HofZ L8/W/l5fTnXfp66zRKRvkJxi29YNS4Umc87xeoHCkl779AV9OSlIt66D6Q1u u+n+49rDeFB+wu92+wsFneEI86OoV1gfs6pXRjUSSgSEKzxmKChuqyAYeT0I jFrnm55NR0C2cObwuU8U1PR8HmBfGAj0bz47x8hEwLJJR/4K1Ua8UeLeRXpC xuT3MeeZvxbCmXp74RnxBc4zaH53kelDoU9bzt8M9AbB2Qst6XMjWFW017Et aRwPTfz81TdTBG08FkERFQOYeRa0NCum8JT0hc+3fxVDEutOrWYzL1wnnMuY 4k/BDm/dY8axxaB26MKLl3c7YdA/fTJz80JuTnOwUonOg3V8Jib0PI2gOLLx 6IAzGU1eUnrpeQpBqH2kiHF3ITRJeSdKalGQ6xSDrqhlEbj82xcYROsLU3P2 aZW6Jvi2r+zwWWkyLpct1FatK4KJFPMVulxZUFPauN7mKgWfiPN4XPpcCrKa 59yTbmRgPWXw3n41Ciq/Xv4k8UY5yP27Xri4XiqtEjJvLLsxR+z1FJGOiPFl 1cePP6sBE1p/dVH7CxNo/dW6wtiubuswvPYuKr2sPokGfqf3EhwRznS7pHDI D4DF0W06tVsIuJWzRbD4ZxF42iRG7NXrhJU7i3Zv7yeikut+k+yXpdDTyMyh LkNExdURl2RUurHYNtx6qdVC/uBeWWD5ZQKlWxo/DXgN4UioBL1Ufu1/+YOL /HGzY/uwonsQlI/saONZMYXaWt2Ph1pK/qtTuKhTmkN5Z8551sDMlnWl92TI eH+/BIm/vA4+ejHYeS/kve/XPtL9ztEGXV/13y7kajMafwSp/MFF/pjvP+Lz sXMC1nEd/hZaMoy8R/QiGYMR9P0FvArTx2GveVCDK3EE66c2PTd0LIa4mv38 Mu2jsEvpSNS+mDEMC+h4mb62HMJpuVWemluRTMutcjT97aTqL1rS9Pf47JTE 9NpR2IYjR79eGsO6H9qeWkONf+aQatQ5JCzOIcWimCLMnCbQsmpscqxiGMwz hSaThMpA+VxLTIn3GG53K3vgFzIKc1lTdyyIVbCNpo/eVH2ERX0sD3fYo1ZX hBGlKjsW9iGcENihqrqwLxfnq1+p81VYnK8W0HSZi6rL8I2myxWdZdnA0YHM LDZPSHNEiNzfVf9itgLEaPw5TOUPLPLH8FkWtlwaAtF76tZWTJMg+1Smomxb PSzxkVrbt4qEItO2GjKlXfCh6O7eY3VvgP5fHoIKjYdTN/B+kFsFyMvuNHVO IQPLofWXTz9a8C08VxT5Kypw9Q+HmO3fyZC15l61h14JfNBlbvTXHoT95dkd 4cemgD2MW+h5cBmEfS3NLJuggJvjascnOhHYRdE/YKKRCCXaQ4T4KQrMvolv GjEKRx++j/dXrkgAwvUw224SBXK2PsiMmPCCkC7nSLnlSaAqOE3ol+tEZ81C zWVLSbjR7ftmLr5iuPyIY+aH4EJe67kxe3YhLwcuv+XyraEI9IjT2SXfAmHX xds77MIouOHN6fQVkUUwXuSUkbGQlyec3Q4wFYyjmHtynfDjEmDP9uhwaqvG QfmN8ttSydhsxtA1QSyD/Ngfewu0F3xVqLaP9usSvLBuVvFcXS60vOypmk8k 45ZsU9tXBg3I4tYyO5+YD7u+BFn1pdbjhI8IsUSRjPOG0aFmvFUgtGEP48iT QfSvO2an/X0S3wtzwu96flV7U1a8kK+Osxyad2WeQI3hoH22E7VwTMIyipA0 hU3ZoSyRNwawUDrOjkW6CrY3DRSWMsaCTCwpsuwrGbWPcW8jONbDhc6HJRMp f/PpZPkq0d/zri/Hu8X0jCjIrPgsZf2lHJw84brLZFsxvKDdhzKm3oeCxftQ /F4e1xJ/Pz/57X2FhUIh+NbdzOKUqgBb2rzxKnXeiIvzxsVc0EbNBVhBywWD ZeW32+yJUH31l3NvSTtO9T1h1gttgHuzcz4r35LB+LtTTl5OIz4POGwc2pwJ QeSNOvLeZGgSP5R17FcD3jMLNryajSC2Zdl0TysZTj+9dEGWuQaT+1+rXg0s hphCgdO86hSQ8b+0JfNQKXJ4iByTys+D3qVXkipvUYAxro5xzDUXR0qO1v1+ Ttjp25aT6Rf+5rXBvRnxv/2AjMApWUGlVLjL2BG+4R0J9pCipxOT2+HuMR8x o4xWLBmM5OPOJ8K8jJ3Bb2589FJ78fu5qsXjCLTmvuTiKfozR3KjzpFgcY70 nzrAJK0OAecvZ69km4DDfWKGv94Mw0bmgLqb6vUw+fDh+vE1PZDKrfDo97zO xGXzCybORgh6fjF5Z9vf8/IKsfMGt2WBUXgs408fCpR+C1fz0suA5rUyFfXX C/7UTZFaN1ism9Uj1/jQ5R1gkep9MCCPCPZ3jvfcOFoLRg+D1ratjQSt3Z0/ pA4vcCDaxvk33xbrLE2tM7DT6qx6Xvr71RkS3FaU7SzQbwHOsl2pB1cXw35R vmsXhQhQ3Dc2JzPTD5hw/szjK2XwkLj2DimQAtUSMxKSSwvgmYPx8NCddFDa XtjCMEcGP5MzL8+z1ML3zY8MwjfkgJSEdsxYJQlOGQb2NbC1gVYa78SFkXy4 2vFoc280GefsVVSNTzRiTHv9iYeimeBgv6dvJzMJP+o4rOgldOLLyKTlu5jz 4GhTzFCI1xSu28B+iPfCIMZyEl/vEi0Ar1vJl/h5yXiJYXBoeWgzCth9PDqu VgTKgnROba8JGKGU4XQ0rA+HpZROzBuWgszPO7JPOv721/LJzuGNG7Pg2MUH JxiDKUiyVkjyepuOErcbjH/rmmpOqvlXEhkzCe82i41W4Zd+ub7g5qI//eVA 7S/0ofUXnfPzJfe/Luj9u81rhOXbsMNGY75DvP4Pf7Ko/IGLNP4s9vUyal/D BK2vk6wuxOnc/nudjFHn2u/cr/jvnBYW57QVuY/27FAh/fl7/qS6b0sjO/87 X4LF+dID2n29Jup9PdCj3ddbnD+cps4fYHH+8Mvpn+8Fi99rsU/ZqX0KY7Q+ LZ8/Pr5jIxke30xg0clohPDamtOutRUwedywkZFUAQrau1edEqLg+00/A6Uu 5sO9Hbs+Oy3wfVpiVMzxMKJkSlTb1YE0OCqypHB8OQUv3nha4bqvBt+lavHO nc8Gg3J74w4SCW2LhXhRuxXlvlwK6SDlQc8a94/05wbQic+pjX3pBA4Z5Yj9 ft5KKvfTUrWxv8+1LmvPrLu10L+iFfxyOskkzPHZu7aHtQDTTn16dsu0Daxp eTOFmjcxlJY3F+eQfNQ5JEzQ5pAW/+ZuCKbl7oCG3OPX74zhJe30/XskR+Hl pLSz25cG2PBvXoY3tLzsQ8s7otS8AzO0vMPIPV9z/EoTHpntkf+VSoJGN3Ot 41AHT1Zont/RMYy7Xi912lM3ATfJxxSf9OXDMlpeC6LmNVjMa4atGqYSpG60 FSU41J0lgo+G5BLJLaWw5/z2ZX18YeCqK8qQeH8hD5YdmxMzLYeiwSsRSVt6 0P1YNCg/IMKFPfv6vxQVQCCN8/VUzsNdGudXMZl+T28hQlNRT06eVBdE+6+t bLxYBLIfLNtuYwt8Tg4p8mAiY8bZZEmN1/mg+S4zpkKoGs4S9b0P/SLjZuY5 581OBcC6TLSjs6EC5AxS59gYKJid8aphw9li+MjnNlrdGAyHBdSdJV5ScHe0 tMmGqhJw3rZTe4fYIPgzsxm1xU6h8RmdtvveBWB8ysP+yJseMGu7vEv4MBFD 3j54nu1fBK/cW50j2PsgYtN7lt73BDzDdYwlecEfqhWJ7l9FbAFtNvNrF16R 8PWkCJO+aSUcrjIsu3k0Cb5uVGi+bknGomequYrfmmAb/ztX5/ZxeO7vmhD7 YgRHqxX12RnK4WqhxKkX7qMQ/cDC/KrHGJr0pcn2cNYAxytzE2bmESB5mir/ nvsZMo+eab7eAU/Vpb8KyE9ig6qnmtHBYdh7zbL+9/tHN2jzn73U+Q8k0uY/ UZ4HywXix1Bndc3eR4OjoBh9I+j0yTI4q6CWueTrQl2sqrWlt7yC6y2GLspe EWCf5bey5c4EitDHVp1gGQGtOzz5v/1eKy33ZVFzHyzmvrv80w+0KRSIpa8V +El6g4KHbeTfpiTAzevCpYLLCXhCeLR879MBzBW7Qwp9XASpKeGRTmwkDFj9 6w7TiU7cvzJF83feX1/uc6fnARm/lN9wNBxvxMafJ+2G0gogcvQxndCCryqJ 9dvM2daAa8UvSm7yKAe2sVva91UoWDW1avfQi3yU9LLOVLlRCq5OT7dktJKx 1HmOM3OkGKwT1SrrFvLIf+YtuDhviR2V9UgDCiRYuqreYSzAcj6XnmsPysCL ZYNxYTwZdNztDl8XKgXjnQSZ6Xe1cLo0NN3XjgLhdBIYkJ0F5Uq+VcH0RTB9 8PPLISMScF5uvpEQ1QbfFN+ent1WCuVxMGxUT4bLLupOW8/XA+WVZKjuoTxo 5hLWTUgfw0OSzUkblo9hUWP9Seb5IjCl9Z0Nte/Ql9Z3O+iI8U3eg+hubndR SWoKL4ub9Bt+LflvTsF5Wk5Z/i8HsInGgSAGk8B6h15kM75XOqpOwOybKFby rg4otHw3R813YEjLd5y0fUik7kN4SNuHfufzj1rptMPQjrTcuh9TsHrP7rfb xTvhxL/5Cxbz18cO6bJv/CRoF+HZf3BjOziydoXfHakE7RdlD0gCBBBQmj3m mdUHHxnHVaTia+AGLYd+pOZQWMyhWrR+iaT2Czym9ctX6XJW3p2DEO2+TTJ/ yRREWctdiOOvXeCUedOyyD4cMbwqmJZBQIW94X2NR4rghrOVyHHlMjRvXkbW 2k3BLRs1MvdrF4GWoIqXjVgTZmdbO7crk/Gp1g+22Z4iqKLlMkZqLsMIWi7T /JeH+I7GQ3VB5aUxc5n4xWBVsYcMBaNUiO1RcxVQDUJXVIsm0bSzNFdGdwhf dVUP9+UUgQrNX+lT/RUu+itlml/ypPolnKf5pdvuFpt091LA6EK2acPGcrxW bJXw2+cs+sNyqj/EFpo/bNn+je6I7//42Gnj5ou8JSAbmjswn04BpeesvFeb UsA447v/7/cOFo//gHp80KYdv+qu0+HiplFUzvUY4BwcQx563dIN6cWw+fyh IU2FUSw1OKsdWz+Gjx9GCW+7UQOp4Uz21/lj0VRXlHgzlgT5EyFFKrnt8GCT WkZTxhjM8AlzJhBHwMOjR/piXgNkO5w5+n7JED64qPLEUmAKll+wqPU+WgBB xS5KIhrN0KhyMueyGwnU5tnDZ7jqoJT75UFO1h486k8QeHWNiJvXpFpkvS+C zBI9nhCeFrS+/PT19/ck/HbPyviIVyWYDDwoi90ygWXVPK+e+I6A+milr6d5 AUTLt/JP9lLA1XPZtvGNsXDAZOk15vn38FNhTZIN6W/d1lYyhG0UT/6TW3uo uRUXc2vIobzW7CtE4OgXMKrv6EEp6R4/C2I2hL6rTlrdToSlO4hrdqV24SnV gwa2E3l/dLCBqoO4qIOq7kvM+FTIwNfzjiPVrQnj3zDbEFULgSvR6hc0kGDG l0s1PKwNd3/v55LckgYmjx/TrZMgw/wnbTWmWy04uffF96rOdOgMYhZq0yaD dO/MuP18E4bsD8vI8cwGQ5o/L6b6c7Sm+fO4kE9skpUUWJlOXmkhkox9TzSt h1Zmwo+7rvcf1P+tQ2PguU6b1hyYHPp6qXzs7+evPK5Ph7OnQtTPgDLtVgqw rDjJqqySADkRUfd/vw/r9vPD11IPCuyspOdds6YQtKMGy5JHMkAgzDDHOGoQ Mxm1pZafn4KZF7Wa2zUK4dlWrrJj+ydwq5XRhp8PR0A/0uDKqYBCeP9o2ja4 jYI8906XdLCmoYs7y8x103hY9iXzfDRlIf/uS7u1tzIEX2+9t3TsTAxcGg/I 8/ny1ycH8fs/YLOPAlU2Bt615QQcvLX5ltmZfrhiaX3q93sZWeti+rjnp3BZ yRLe388P7BTlZOKZz4YjtHyxnpovIIaWL0qWri9oipjA6JKDcnWSI5AdE7Pq eXA6PI3W3uGZN4Zyn9ZnMMAYcJ3saxBIzIGcMMc4bZlRvPu29aaE1zi8zjZi zrMtAC4flYnqaQr6cITtUtkUgnsGx5+waEXDxpgOZxikwL2HmfixKBpCfwWO PGZ+D3lnPnBvmqJAr8qtAzbbfWBE//q9SL9kYH7B3tkRT8HmQMU3eL0Ao/Zr pEl4JcCsfppPcycFDxc+02CWTsVLZ4QLO5TioGbA1F9goT4pDODJdsMaltqV 93OWR8Gy2r0/PvZRsODtkSdfJZNRa4eQ4bxBAuztEM5wkiXj6UzxpQ/lWnCl fPH4ds40kNlYJfvzMgWNt2qt5XxSjuUKPV1FhimwM5u1Y4XNFFZZRwdXLugY 6zG9/mjPHPi0avPAnPmCr1Z6oCZC34FFCXzr1JdmQ7bBrdsBqYOYa3ZB4oHq FJ5XEHo6X18AYVy6DN0drUAf/Ux4YpCED42XOrdfy4GbtN8ZqKL9zsAV2u8M 7HN+b9b3aRSuymwsbRQdx5ukJ3cbXiaBOu19+fu09+UP0N6Xj1chXBRvHoWL Gt5F7SfHMVuei5+NPQWqlqXIi22cgHvCz1YXfBlBurM1epzfYmC3ImHnruMT MPwx9BFv6QjW7V0xeHJfAtxKaGzhM5sEUYdfnRlKw7iGSdp0j2cEbC6m43mT OQl3rpGrjL4NYeb62ykTFVEgLRd/rvP6FOyZOzqqyzaEXL/MY8YuhMLb1ZOu RRFTsKwldmt99CAW0Jv3DhDCoHXm2So6JgLIpJc4v+UexKRRe4egoSDQ4Av9 XnCKAKNjvNmM8QPYe159CzNbCDzJiB0esyKAP8/MjqPqA7hffoijkBQATx+X XBRDAjTMtSGlsR8DQr/Yc2Eg8A67JaX3ECA0MzYq6n4/aladDDnc6gsiJ7fl K64nQs7t0PZPPn24gUd7PPq0P7xa9fF6yBAFv9mPv2g58x6SpUPtNHdEwsQm 31+OHylY8ebSyo7xV/CKcjwikicOoFaXe+vCPpwef/fg1aNkVJX5GZ1Rkgx+ OwKszm2l4LaoVbUG01UY87qr36w4A0Jp790b0N67/0J7797tgLJnbfAoNPBb 2wTcHsfpE2ciii3TIVVyW1ap0QQ4vVvm+NhhBEs1XPvGhZOBr4KpxZZ+Cp5B X1Or2xCKp/YykU1iISqbwuLwaQpS2xI1+kQHkfz24LmXZRFgu/UFRdGTALt6 7pF/iQzgEX2+5Vdvh4IMV5CQ+zIivN96/UZXRx/ej7QjbR8NgmkT3f7jF4ig rbBjvC6qF6NZczonRwJg/6Dl0c3pFGSfXv897kQBMG+pHyUFhcOrBxezylsp KMVcxs9gng5r/BEkP0XDjQl+1ZNECnKo1VizSAXAzbd8CTYiScAikeLuVk/B R88rh5Y0JKNcqEvz5Qtp4NV732bCaRRixj5L3Lg3jtHP6r6IMeVA5Te1FSxJ E/Dgm9vVT5Ij+P2wnaQ6MQVmmfhHjmlOAb3dS8uXLEN488blTZO1CWC93TDh uCIB1sgTr8b4D6CdSHDgyFwUCDLeDZ0aJ8Aq4zt3hPf240/vgX1Bs2Gg47f9 WqkyEfbJmR7JzO7F4jVjUbtXhoClWWqpsT8RLk52Nlzx7kGLSpPrL+MCgSs+ auqW2YIfqjRlDjMugyPfuTJHD4TBG0N+pT3+FOzfab9O4mcRBK8z0Jumj4JK Tp3G7kIKrlUbEXStzYEE1wOTqZbx0HRnuvbnAAXjKJfk2WYiwEXUx8yLLQUS LTcE/cyjoDrnyJFNOu/x3PB0pnd6NliSLOboBEch+FLH4PugcSzn+Jy6T7wQ mOKXPb83NwH3b8b89Csbxk0vPzx8n58BirK7k3zLp6B6clfdlmuDqGgWtW+H UzKICi+7lpROgM32snzn6vvxbcg+dVJkLNwxO9ZNf4IIuZ2Sj33berHiiqvu VFUEpG/1GPYII8K1JK++1Q96MCl67w3Dq6FAyFNmOT1OhMveDYPW17tRT9w2 S6Q1CD6tP1klsJeCd5guMuS2VcP4a5nIl7MhcFdIdyZNdUG/tDL0Rxd8jNBP qQ3fjkfA1HjHzcuPF/pFI4BRWqsM4IgMY+znGCjR+JroHUzBhv7PKXU3C6Hz cFHy2dXJIB7tt2ZvNQVlSevoeI2SoUzolE+PcAaobBCpEL02Aq7XauO5Po0j 6ahX5t3gctj68PYlhaBJmOi955XQOoSndg2ebb6YCza1vPrnF/YJXeftOR2L AeQ95tVUfjEVfko0RXOKE2ELr0zeIeY+5HVm6NgykwCRfjc/CyYRYVjBMzBN pAdtTapa4j5EwakUj4gsOhKYdDW9Kpvqwjz+Jo+3g2FQo10xvGU/CSoHCwut fnUiR6P6p4GZYPCN38NZTSIj3+6nSsHHGiBM73rqsZZgYBU7ruSxhII3Z0v3 9EnXgynlBe/DrDAY+uwku3MDBSd4f4lv0a0FxtfRa8PyoiDHwmuGU5aCp72k lwTGVUE6375vlxMTYMe6G48l7lDwZ5w+nBcuA4nplCXRYqngFuned29hf17r yjl1fmE/9V8esnhmmQfG+dd+qJ4bgp5Hvh+HzSewy5TnnG1TEwQJ22d4KEyB sUSBVeUCtzd/8eaJPlAE8vEJbSe+EWBltP+AlnkfZm7ZrrHtUCYca/VzOVdI hG8e5K3Wud1Ycl5ubZ9rMlQv5xPo3E6CGKmBH2u2d+G2Qcl1t+1i4St9eW3j TRIYyLaTN2zqRJeKcj+H4AjQKXIZl1zwx3nBif3ONzuw4YPvOMf+ULjnMMeu EEbGLoe8mmXnmoDXK+Lc6pogcP26SZUYv5CvTxjbjzM3weaPMf2XLobC5aCw lXeyyZjdUK7vHNIIpYJdMFUbAZHrL9LvqCYjvcbWjupVjXCLJSVIsDQWlg87 PHs4RMbg8z/SxgUbwD253EGmIBl+WQqUqS6lINOFDzUbWWvhgFJj9Sm/TGjP nTnG6N8GWb4Hnaa/juG+ubVNx/YMQ5XlpD3bSQKoefwSoFD60NXc8A2fTSUY dj9g3zVNBCHX68eWXO/ClR4rno9fzgU3lkdPuPVJQBgPMs2L7UChNuVTTAdT YUA48xN7AgkUh42nSwPa8U5DB24KTYBTX6bZGFtIsOHuqQ/is20Y6unXxR0X BZrBLmH6RBJMNn7UX+7UhhxOzB8zosIg1HLPPmvNBZ8zVDjfvLUFCkoqA8hZ gaC9NrRt4BIZuxmzuef4WyDz1ViQO18I8L4ktDRokHHdp9iw1A0toH1VdEst bzjIrcoIGbpARjdDOgUWjhaILZAdzjodDf2X9soynyMjvyvZ+DNTC4zYqZhb uSSCrJhPMO/phfUyW82q8LEZtLSFn8yQUiGi4vYHXTEyst+OjMksbIae9ZuW jDMgEOxeSf7c3I72hg9TZ56lQEXe8F3PXBKs4c0q8H9OBGEzoQBxxhaUFo18 aN7fAuQzBsQlv0jQcUL+85G7LfjNYJa5uK/w/+WIUVqOSNn+y3L1ETKokQVi PbRbcPWq9G1ZB5OB/PFug6MCGTQCRbZ9uNSCRg92bmtgj4VQHS7RTUpkkPQP Cc5Vb0GDj+0KmxUjQO+5ZMhbDjKqFiqyWhS0ws8SXYIO8zs4fHr7QbkVZIw+ bkC0mWmF7UYmn2FZMChcnrMzmCfhaygz+yjVBs8lq4y3B4cC49P4hjWTJPQ+ nvH+p1sbrP20mvxcNBIK9Fxus9aQMPmg6t5atna4w5zt6HI2DnaxSMtt8Seh fueW+pD2dtC8JtHHKvAe1rqtvLz1MAlFt3Cz1Ip0wroVj3POb8qC/nS/5De/ xjBqQuToUPgQtDZY1b8+0QE38i3sXGfGodj6ymGDV02gM6d34MK6YTAeuUEO Y13Ij+F6z2WXl+BDtSeMIf7lf/K7Fy2/f6Xl92sbQ4ZV+8iQ4GE/HC7QgKGU CEJzUAqsEbISMS0jgxY7GzvHlkaMktMhqxPioWefvaFfGhlgOiXGObcR+RxN OsUlokCh+/w2uQYSMqqqbeoQaQcxolrhPUt/UM5KilqZR8I3ZxXbuFzbQa00 3nw1cxCcE3ZoaQgl4VVDzlKbpR2QbHUZCKoh0Bh2OuCADQmt544k5wZ3gJPV iuPtWuGgO0b8uVGJhMSZdLUlFp2Q3H/IXyEoGsxkZ1cF0pFw5pKiRwp2gRSD eFAtJRGa+pQ9uE2IKN7ffO99UQ+IObvPerGnQXWIgbW84Tjmj2uLtEaMwETG p6Lk8GrIbl8XO6NXBO5bLThiHAkQn256qWAhhyVf6Vov7U+G7OTmd4+mikCr zSUlj6Phz3yjlTbfaKDNN65dHnV69JACgu86vydOlGALZa1q4UL+GtjSNoCH KVAWcea4r2QVXpWyd/eLTIJmxXNLzvBSIC5WRZL3YC1yeCQPSGrHQDifBVvv SxJe2eCQc+dxB5w6rLDMZr0f1BcnvSx+REKFI7v0t33qgLl9inZ6Cu8gas9K Uy9lEtrIKskFenRCzEFtzwO7gmHFCZVsqc0kpP/wIlNZuwvuT651768LBfVL 4paH+oiYLCvBp2fcDf/H2HuHc/2+//9WEqWMMitFZZQGJSNnqaREiaIyijSQ aFAKKUkkq5C99977svfee2/Pgawovs/38bper9fx7v37HMfv3/O4jiePx/V4 XI9z3M/bydVoLEWlFwFiJ4ZOnX1FQLQnDfb//NUDBwSYFqIsYyG8cQM7TfM0 GsrcKY0U+kGi72WE2Z5koGKi1lZ+NY5sVA33bD9J8ftcaF7MsBSDEq5jVuI6 Jp30X3VMy7D0z890xoGumzr1vOswaG55VpT1qvmfusx8zF91mUFclxl5Nl3b E0UG+Zqclww/ERKZ/X1NNzYZNndxcCi/IUOdqveFg4ml6NjXcas9I7EwY7JW +p/7sO1C4FqwbycUxitxB9R/h1L+Y4XOokSUOPKK5oJYFzge2N5Wm+gLnoW0 eaM0RLTsfq76KakLOA8486oLBALz/K7XaxUEdFGIwWampxsGbKP4vE2DodRy u+L0SwJ6eD2pzmBHL2gr7jhUbBkGsf3pZ1ZpCSjRqFUxrKgPauYYZo4nR0He VEZX1OVpdMjfRTzcfQCWDj7cuViTABO4X3s77tcexP3aenZDBixHxpHB2Aqd Re4oCPA84X1VmQepnWpMtyZ70YeMi3TSodPQlO+sz8lRATdxHbwG62NLcB28 +6RG1e4hMtBrezryaXoi3VjtYP3NabB/94rhpkoyIGetMy9XMhHb4whls4oE EN+ddNV8OxFReyiGbwrvAl+31XL5EC84vtp7wZhIQMnVMQIpV7ohRhMdSTjl A6qCbaa+2QSkFjCHKnb3gNeIq8noU39wDpw/Jkq5P4Pe3nXfBXqB+0L3MTEI Au3arHGuXQTkU6y78cjzPnB7qpjg0RcCvRUefYL+0ygmlq12kHMAhDbuGnxB eQ7dl0V22PZOodm1qoMeioPgoH7m1Q3l2H/6r5lx/3UY7r+2597Tq7RnHB1X UBU+NzEK1PQRD4M5MmE3zufk4nzOMs7naGGdsCfWCddgnXB9ZodWWi8B3bWZ Z1H71g0leQKvWhw9YTWEzkk2kYDSyF+1rJV7YOIm84tThO8wxG9U/YxyzhzM TTwTcKgXfgW8Pi1Q6wu7X3M9OiZKQJltZraSZ/rgbV7AA+8jgdBYYtXpWzON aNu++lz2o8SRK29yOsyDgfmZmKH6+WlUWKuUJ5k4ACZMxAL252Hwtnn3vMnb KWRuufWsUO8gHDgybM9lHQU3cX80CfdHu+L+6H1fT4+cYac8P9TmNN82jAFX Z4HZN6lUeJ7zhsZAfQg1PH3Q9P7XJHw8lCAiypwL8dmHPDrCSNCiPKX4QaQR zAKR0ZBDNrwU52w4+2+eiur9riP1HPMUf/VIoGlXExnxMHbX9fxKQ4Ie7v4P K+KBOS7OgIebjIQynS6EGNYgurfar+dGUoD1SpHJ9BMC2uRDlfjlaw9as6JK qozN/p88iTbOk5isOD1nJ47CAcnoG/uOjqMHjFRhGU7JoFDewM9zYQJ8Q44N vCoZQZeMNS+zsMVBBO3pndNhkyAm62i8yjaMjI8+fdCRFwGlqfE3VO2mYMM7 m7OPuwfRwaa8+PX1EIgrnNwkwzcNH1ZtXm+fHUCOcL1mhvJ83it5mPbeeRqK jVWuJUsPIHs/p/1KSv5AZzZxS3SMjBJi9DJPhySC14aDj+cvRUCxEU2T/I9/ 749foomuul0sRIzqhMYXkNHHlh+3dOiz0Z3EbJUoieR/9AO/sX4gFusH9F0r Qz2bR2Hund9xedlxdCAhZZtnUhpExTzwMDefAGWtYZP8DyMo7f7WiTWDRFhs m+Wom54ETRZb9ttJQ+jhxY5Ca5FoqH1FT9mRKXBTO8xWbUjx86NLpJbiwmAh iPq8t/40pPqK6ERZDSDhRI+0u6+C4aMnFw1fwzR8/PxVX9CjH1W852PyZA+E kMk9UnS7CVApoDxmbNmHDuhbmrC+8IUfRZu7u3Mo8d1SIGMGF4JuOkN7sdIw UGIcCp7vIyOBx7M3nzUmA2Lv/WSsEQ3f9nh/yCf9e39MlfY/NPNJ/Kdu/gPX zU/gujk/3XSuV9AoDLWSVN1ujaPNGmWXqASzQfC283e61AmYZgs2PyI+gg5c 7/K9050Mh/12NW2HKbDYpRByWGIIzTtwK3LtiwMV/d+yO/ZOwwnyVQutsQF0 5Ntny8nICNj71kV7V8o05MqYfifN9SMjwkPRnYMh4H3ws/38DgJoGRQfFPrW h8qq30eq8QXBVfnsWx91CFBwpI39t30vGr28qmrG6g+ryuEsdjZkJHtQC2U3 lkKTc/yBm1qhYCTqlG0bTUY6b+Z9VR8WQqI0SujWjgQvEclz11vIiMRGduQM TIMfWi83f5KPB/d8h1cK4//en1l+gQ07+lPg25CVXvPVUUieVH/54d04qhUY El16XgAZMguz1dSToCvo275SOoxClthZDfelw6lTVV9KQqbg66avBG7fQaQR REIuTyh+xUBmsvK7abBSFghRPDeARN/WRfXTR0NXwFGnrYwESNrQq6Ce1YcS tH9czrMJg93R/DG59wiQsW7IZve4F0nkDVbbXQmGfqNz1ophlHjwm8eZ+Oc9 KHU79Vx7XwDoXrmzc6ssGTEIfhxoPF8NjIuES/IcIXA6+6jtDz0y+vo5ZmPb iQoQyO8u/fo9HPpErNKSXMlogz/XpVtFxWAff6o3KSoGVgV5OWOLyYgjy2Ol 8EEWdIjJOAVVJEHPcZqw9uwRyP3288nTvHGk0To4qCBYBhXhFlev2U3CHVaf pDaaYZSoZHLS3S8bRvcRa4x3T8Ohj+e69jcOoD56l0ulrcng55SVen1uGmg2 WWZcXupDyZvWHjSMxcJ2K7WCbkMCfFbW0396thc5q5z8JPgoAqh8aeslswmg aj1pobGjB3F3Fu2SjQqB8uynk9mUuG+bO8SdlupG7Hd2LjDNBsL2zYV7eBdJ 6NNqnqAOXQPot9Ijg5kgyKH9qHCenYx4Wedt7m+sg5GSfbdEN4SBY7e0VL8U GZV80tC7IloNL+/eMzfSjoL7kuEcz43ISErZ4KBTcxlcy9UR+DmfAKcLAnY/ jiCjTx9cvhYV5sOiwDp18Mc0SK9TKp9wGgaXw0w+HybGkd/iqXit3AYwkTYm vuGfAn/V98sCK4PIM2qh53p5AWgQqC7WZ03D/rGvN9df9aN5m6mb3xnSwe1n xtm3Lwggza/ism21B6mUvz8XJ5UIj3K6blF1EUCto/Aht3U3yj6mENASFQV3 BB8p8nESocJ75+r8+y409Ma+QutEGNQ9pD4vKkcEgYBahqbGTmRedmGtnzUY PN+wFWbHklCRQWhVM3cTfCAEjbaNBsLTx48+7i2kxPVnry1OvWuEUBWfu32+ ITA6a5dZ3E1Cc06ibMKJDcCh+4ywUYuyL9WMIoHrJFQ4euN4y0wddDH0qpUN xAJZ61Ly/qNkNPaIZKGwUgUi6ZO894eSgbiV+/sX1V64c+OsHa/SOLK4Hrfr 65UBOHFusSFm0zQMPruikHZgAJW7tlOv+ZXBWHyq5IIHAZhWCt9dWu9GO33I v17uyQZEfytBeSsRrsxN3nyr34UOlkoanrZIhr4fM6vl14ngc8W7J+haJ6rv P+75WTMW+sJ47MlWRNg7uZ25K7wDvXvOwbKHJgLAJpuh9TsRbqy43tI82oGI E+1mibdCoGz508CgHglt5ToonzPbDO2HFsgikwFw0iiandqYhPIObZmRjWmG mQMALreDIXsD1aGjr0moQFrW64liM3jnpZ4T8Q2DBPM4RVonEiJZrbWnFjZB yufsZj25aKih038hEk6J688f1V6daoSPgh8ZDmclwvmNPmf2VJNQ7scbfCrG DXC6VvxoB1UGqEeZ++g86PrnXGoSBj6N/UQYxnrCUqyrHMN6QnNXuzFvVyL4 bj8v8oazHbFHy7zMEy74pz44i+uDwrg+qOp/TDK0nwhkiWeEIa82tMG1y6M9 OAFmW+R8g0hE2K49n3nAoA1pdH/ZnssdBXcj1NIdl4jgrkAgbLjchtxc+I9a 1ocCL4P0XDUv5Xp/63tHurVC7W1Hviwxf9ihI3CVSLFvJDi72Tm2gohHUaOh TBA8zt5dPkWx+z0miiCbVqDaf8cvmTUUpn1cy79Q7A/nVm7ZP2uF0msfzGzp I+F58UWDizwkNHz9VfAmrVbon9LQjpiIg1eSDBqqHCR08UPzpovirdA03/fm flUKiGxr1zCzH0f7pYtfhxQPgm5f/0RSXwfU/Xc/LJUR7oc1xnrU51iP+gnr UeVjWu/6vSCBwoCGwTp3M2ruWXMitSRByFhsF9N9EnDTlxuaJDUjmjHhzXRu MRB0QTrI7RYJukXmL0iwtKBy9dHi+FfhMLa7lv14BxE9rfq87L6hHUQkt5+R DvcFneJPh5jriej6/dmC6sPtsMfLuZxZOhBOVwTxjxYRUezID4MP99sh1rZl wiAzGLRWG2p+JlHiKcFPuicT2+Hr5LzLDE84sI9ubRzxIqK7ThmBkZwd0LD0 gG3sVzRMdWeinSZEdPyGnKFlRgcsUv24JauUBBaplY4O/ETEqany06uoE8Rf etxfYMyE899Wno0kj6O8U1cuRiiOAG2UvfnUoxpQx/3C+rhfmAf3C/+tC5XA +tttWBd6y3eLhM9WMjzhXxH7uKUW9dXYSZ+/kQqSOZeDQwdJcHjfSFXK9QZE I2Vh3GEZDx3f1FmYC0mQ4MiraWTYiK5PiNsf1YuEeDvOOx88iIhxiVZ+l0oH 7O+7JLRXxgcWHzM+X7ElIlS0las+qAOqEutHpSIo/uEYs9hGYyJ6Lrzs/oOh E2gLy8+dswuCBX7zoiJlIqrlzepXc+2EOwliHOeeh8JtFpb0Mko87kU3e7FN qQueXMrUmvocCYpqTNRj3QQ0li4/5qzbDaNeXyNaYuKhpK8vP+bDOBJhi25r 4xuF84yNwqczi+EJ7gsbw31hnLgv7A+dMBUf1gmja6ruvDfJ0L6i6cV6tgIt 5AreKVhNBJC5uEfwABnO0e08Y29ZgxjbZU5e9owGZo8Se6I6EVUcOFZQY9EJ BiXGUfqz38F2v+UtsiwRrccwki0mO+Hs5oQM6w1+IJquw+S3i4j0n5pKzT+n XFeB2isFs0CQ6ROUOPuDgFS6GY//FuoGVbnxDdW0IfBkmmZSLp2AxPPd3bfs 6oF3O8temlqFA812g3DvWwT0OPX4m2XzXjDZ9OwKo00MRJ6IbFAqnkbbqnjz s2z74co2iHoTngRaJUEb1q+PoxIXKVFz11FAtzk+bTmWD45Yl3gM6xL/7sPi fcnTVZRNhsLG2ieRx3OQzpX32xeZUqDMJhTcP5DB5+ihJ1T1JYhEOBdfuycO rGkZjlvwElGKbKWz9EfKdWkO7HhT5AV1Btl3fvwioJuSbgfktnTD6Q2J6gcd fYDFZGnCp4WAwhRak4kp3TDRacCwSB8AlouOR88GENAK/dLrQPseOHnpIgt3 YRDYPdq8EHmdgNjnNq3SB/XCR2Iw+4c8ynPiotB9bGoaXdjQP2uwtx9em69V Xp+IhBKh2Jc2p6eRvs95RIocgF1Hrhge50qADFvOmRcy46iKs2U7S9Uo7L/L b/fkQSZQYV1lCNZVjmFdZTy9wLTFCAG1Ds/61b2k7IvClQGGGE/gPLHRmpBP QIftNO8bsfaA6WaWW2pi3rD50/SNKmcCEiu3SFavpexXcdjHB6p+kB/q8OnC NQJab0jQlMvshU/PWo8FhgbCB+9XgoS1abSZX+Je33gfDBSvzM9IhUCRstVB eftp5HNzG+0uGIBInQctxfnh8Hr4lmB38xTSjJbTN7w9CD7d7iMvS2P+J94P wfF+gE6kkSHfODqZyXe5amkUHDR69va/TYXhOJ2Tn62HEFlavoS6ZxKUf2iG P1zMhU6mhVsfFUbQh5s18hfuTiCiW8/p0W2FcP54+ZHO5FHkfWSHvxTl97RV nplRCxTCSfrfQU84p5Apj3WixqYhpL/t0V671gJgPSYmtmdtCtUPXEyNjRlA l/333ZrKKgAi7iNGuI9YBvcRZ+D+mt247/Xv/pq9uL9YEPcXv8T9xVIi72iS lyn7aL2TGGg6guS2nzcPMSwDZawPj8X68HGsD29LY2aMvkREpnXlW8gu7Wjm TWD5g46Sf3TgeVgHvoJ14BIXdK7+eEFGZ9u7s/QF8pHCnuKLumOFkHe1de3u nWkklXjBworiD3P9/hyWwVkPTCrv/HsFySiUYzT9dlc2euZZbH6xtxJ+UJ89 u3CejORNTHn77haBQ6rT/oXZYlj4b746rGN+qTShi/n6bQKQd8XJBbKUoge6 DwzPZHWDdfF+lv/kRWdfn7ylvC0RPTQ/tFXmchXEGTm+oBIkwubWWUfWlGbw DFRTzvzUCNYbePnZGoagole+RJZ5Asxkauk27G4GG8wjGpn8i8cVjXlEpDOf iJInioFbKvrIg3ASBBWUb53Xrgd5zEFyxTwudcxBssRcJj3M4zqCuUwvMFdh GHMVqjFXoRr3k3riftJHuJ+UrbvFcpt2K9AM3W8lLBCRp+Axxu+LOfBCYqVj dHgamLhrfdbU+lFmm8Rz/TVv4Ile/mS7jQCb5g9I0qb0of5Hy0G+3L4wYXtC 88sCGdHu2RNTmukMM4Z1K7LfI/9HNyKDdSO79SdmeHpHQepx3Xe9U+NoI496 tppBCoT+oVv4gXUL3g66Co/yiehb28XW8gttyGmHsJziUQRa6TeS28RIyN9v LdMstRl9afMC9fR8sK01MT6sNobOhImIGUmOIan0DULGz8r+RxexjH//5OUs Ma7EUdjL8RLs/xPX01HtX15Kh9STzVeOHutCh1uWzlw6QUCzHkk5z1jrQOVc vf/RR6PAay5uKUT57m2XyKa7K5ALp0sao0XcJtDr87ZVb/uH0I+P+1X1aBpA pcju5ZepEWCUPROpUTmOSq2hTle8CMjzsm8jZCfBRHzvAX2jYcTBEm52xS0T RDBf5QnmaMVivsqtuD2ehQWT8FktMOy4zxA6G3BtgMs5HwowB2YKc7QEMQdm xEFAgdlqCkb26T1zOTmIvAsOSB6WKQFHpkfirPN6iKtDZndLRC9akHhy1JTy 3BcI/OIPlxhDj+r97XI7eqHxcn+GucMgTE41NveZkCDHb8lcbVcjmsthjtga XAzz+D1aw+/RPH6PVDC3tghzaz9ibq3o/vfz/LrjCMIU7YJWh0Hg4UuRX+GN 8APzNAIxb6QZ8zTyMZf1DeaypmAu61esv/2N9bcWWH/793pLvD4Or/87j82O 89hDOI89vbxzz/a4TuSUvFrNfZcSV+0vLq+7UQsNWL+dh/XbV7B+e8bASO94 PRn6dFjP0nano+N9R84ZridAh+ubnxbTZJgXPIb2G3xD98/OaphcToLTh4Mu dTETkXkildxSUReQ5hLoq60oz6hRbOzVyCJ0q/K7heFOMtw+MV+3V7McuD9p 8ag3lyKrkSRuM3oybLPPY1uxKYOPX7dJPeYhAtvdi/liXJ3w5Nw73VDXQtjL z7nIOD8NmoMSKldqekFf/yW1nEgROLYe45AqJoObhfIz8tNMODtX8G5FLgUu 1jK2qwyT0XHtU46ZFYkosoFZPMM5Gj6wW509gJog8LpUkZEmCV3+EV/5RSkf uh74j47WFcO33yJV38+QUXzuibetq0VQj3lT7Jg3xYx5Uy1hO3fmyyeiE1va T/XdIiP6N1FGpacq4D7mTfFh3pQM5k01Yd7UIOZN+WHeFK3+f3E2UB3mbAgk NPwoaxsBmjQJfXLJOKJz/8giOV4Muqo2stdDh+HqPq7EwaMTqDbhXgcDSy3o JilOZ37qBxk+hjPIfQJtZ8y5IH6oCx53vNy3do0A1BOqJsfislBjlip5gb0X vEhOI7xO4+jiaPHseeIIuLaotCUalIF7arQLSXUc7RPumA19OwotNx5smUor gC/Z+1gM2IfQ0xdzYYK7pmDvoaX7Okv58Aqfzw/+OJ8dBaVt9T8T4Np19/fb LLth+4d7AVOEQqi4kroqrU/xZ0RuJC1f6EQ0ntIa9SZ10D14yMTnDhlpa9Qm mZpFoGtU3jtrjStgAnO22zC33xJztr9iznyrdJ2aYXJX7m7Mmf+Ti66Dueh/ fwdX8fu7jN/f7/s2JXkUDMMUUkabqCbQHPW8faFhHTRqbXvWotgPvw6CZeem CWSY5+G+9U4P7BaKz3hyqQhdf3JnNoWhFVUzHHrTQ4mfG3BcqSkazsy01Jqr j+PK1zhuuo3jpt04biLh66rH1/UWX1cOPt9oDv51vong8+3v6605M2TCu2Xk n+stw+sb8Xm4F6+n0v6Lv6GGeUrPMX9jCXM5nmL7C2y//Mf3tAJ/TxuW/uIU Sf7BKWLDnI2HmC/Ugzkb7mYcdpNmQzCqxpB6QXgCldZcPcM12QyGfK4MMSxD ID5cf62ENI4umGoyqdxoA+fSI8FOUQ1w5rqHn9mXURRc/aJWfu8YbHqjklml WQKimw8t9moOITPNqF8n0ibh6w/JcqugGshkqVV5cGcEXbs6HNPrOw5rrgEn B74OIJLHuS8yzpVwqLbIv8J3CkRt7147SjWGqI7x/5Cl7Qai1dSp2Ikh6IuK rdjJNoI6nUU3zE20wtH1NEsG3THIJ3JODtwfR+3PbkxLUfyaguPx5gl8bSBb r8Orlkd5L8odJxtNh8FHL+/i0r4mUOgU/yTkO44UmkM7XI8OAztXffyvhmb4 je/znT/u/+bd/8VLATvMS5Hj+8tOh+1/c1TC/1hvhe3kzq0vN5uNweEJ33bz iBFI+crouizfDP6lO9eP7K1Cr7d5rd/rJoGa9JsU9++lMHitX7kurQ59aZh/ RUPxu/bVNum2XSyBF/j9fYTfX1H8/vbh86of8wOD8HnFuKomWEw3gXi/lFdI po0gPmM2jeM8hXCHUQ58hZtR2WkB3e18lOc0IFjFr7MYPk2taRY4EpBlbiaL flE3GjC7EJBzqgAcrnbvthMbQvI1kiLLOZPIyi1TIpWtDAbOn+Q37ZhEyKvN 7BzFz6d9Ru2gJVwGD8sZnv86TUIThj7G3680oQEJZdrhH8Vw802rmxkMIwn9 X1zTlybQ8NueedeOengmKbVz7y3K9yyw/da3z4Nw6XxambNHEfTjuKAQxwWS OC7gwf6/KPb/zbH/T5XxtXVIoRbVlW+a7bpHQi/pT2+vVq4GGcnc3GPEBlRv fag2eAsJDdls1cjeXAOi3RH3Qy+2oz2s7p1MQwREJy09rvq0FpzdRAqdfoyg 2vCAgHstY+i5bFzp/sV6yFLOsTSxG0fVzKz6LiIjaI9caXMFqR6qn/7FXT+G 58Kcwtz14af/3/NiuLEf9Rz7UdHYj9L5473+mz+Wj+MgLhwHreA4SD3c+dFq yyA6vDJ/auLOJNqlv5ZS9roeXHB/EDvuD8rH/UH9+Bzrx+eYFT7HjuH/xxj/ P4n4/0mKHWl7oTSGijYlvb1c0g9RP2SDlp0HQAPnTyZw/kQA509aZWKdbeX7 gOHgZ3EpyvtM6/hYxTmwCeT2h8WrMbcD/0uBD8XWBDj64fUZnpJGqIwseLkj LxKCXjbH6PGR4YiQGJfwllpQM+usXRd0Ry+376XvPEcGn6AruaJc1RCR9lTQ 8VsNUn1DvX6mgASpdD/XL46XgAHm2HBgjs0GzLEZxvHFNxxfGOL4wmVB/eey Tzm63TGUVpxHQp9nSmjp3auA8//o99HH+yiG91EK7yPVH/7A39yt9so71vFp tTA+GbTLuY2E7Fy8Ob+MFkAp80XhW1o1UBjecODQOAktdeQ8lFMuBKFBaeYd NWUwdlHrosJ+MjppLJ5m97gICuOlXymgSqjvuC5Boicj8wT/8pi2QvDwVAyP ehILZN8WjwvWlPWVmo+1npfCpVH7ao6WYKi32XB1kmLnY97Gl7e5DKLvJnmc sQ5CAW1mh3ifkFGd7Vl5T5dyEFqOX18zMITLlbLGEpZk1HgGJTWUlcEBHVrZ g/QtKHfuKGvfRyLSYN0f+qyoBubxPK9BPM+rB8/z+ts+hO192N6Gz6UB7Ed5 43MpCPNSGDEvRRHzUvYLMibTXh5DFrS9winvR9HxG/suPVqrhzDMe3+E51vx YN576B/2XdjOjvdlCe9LNd4XO9yPNoO5KPdxP1oI9tvXMRfFGPvttgUuKqov RiDxuaNNffM4ik6stLFzqYBQzkcbaTVGQPgMV/AJStz0M6nIdjqkCoh02cui D0dg+XbTwsH6ceR9+ht37LtKUOdYa1C5PAS3w7rPerFMIFVpH7rOxRa48kc8 Yo3jkSwGv6g7zuNIvo3n59WwEdjseOKY8Z4q+BjbkfKK8v3iv5raYlszAgL1 5efMFMthroCbddFjHGluEN+omjMC8ePutUdcK4AGc04CMOfkCOacsGO7L7bv wvbN2O6P7Qew/e88zC7MOaHb8tf5k4PtPNi+is+lbGznxXYqvP64/Xb+wNY6 SH5ycfDSBBEGm8fADjVANrPn6Y29mejH68s1M1JkQMwfWOcp7529l7nx644G NNWjP+7zmgRlAmzP2D8V/+mfgz9+rp7OttYYEciwmXUy/rO+HZL32plXZJYE Cvz8ie8Myeiy82ge9UAx8ufeN3a8OQd+J998fPEbGS0ql15enclHW8+28g2L 5sBA2MyWsFkSInimFLgL1KKoMjVZf/k8WJj3l3lWWIhG/eNuWm+kxBEe3/vp iiuBr3fNf+e5ART2Stm97MkU+lyUu3vfrnrQ99ZVRejfOrUoy807G6gKQCZt r1hPChkxM9FJ3WpIAsFCDprY6TyI8D5z/FUsGa15TNZd1Y9BBznDdnyknBsx M/k/FenIaJItUFi+uhKW36UPXWIuguji7PPSWiT01WrxsmJAE7TqMsm1XkFw dSBBqYKfjMbvf1o2DS2DJuN0ru8DRaBE/0O16gYRAvxi1NtudCAuvdbfB3gR qFZOUsVPT8PnhYv7+chd6OeEuQsqqYchXLeqx3Wr4T94IC9x/eUDrr+cMWLo cXQmgcPAu++f1+uRX1ql7BWDEnhnokr3O5EEh+aMvujE1yLmk5wJPWUlYKJx y79wgQQFh849GBAqR6O+3LoBPmX/1CnO4zrFZlynOJ305rCpDBnCngc35n73 RWahP2kXXavBZVfRhzCpf/P2dI0T4meI1XDoarCV7QQJrrzLPbgimwUyjxLl 6sLrQBd/v8bx92vXH/n/+qktRkdFi3N34vx/keyVvV5nCaCt+fi8bm07jESm OhTLN0HcYhw9VdE0VD0dOHBzRxfYZLGLdsg1gaxDnEr87kmokMnp2HF3EE5+ CF2L39IMu5tvMZ3la4bxOOLVxEtEULLzqrM81wh8BgHsvU3//v9O8rm/drVl wwp53kmPEi9frBEaO/s0ChylHErPaObCW5yvW8T5ulicr7tn1LeZt44Mj+NU 6nMeewKJuemDiVfOP+vpMG8/Dq+/jfVvhVj/Voj1bwrJF77NsCYgwxx7+1/n yXCiZ8sb9V+VYP31+rqHPBn83GgOUB8ugx0Vm218mBHwtTg5bKslwXtf8QOz FD9jtk90w7B6AcjhPKEnzhPexHnC5uM273ezkMGoKdzL/ngVMIo5xL+bQnAa r/f+Y70u1pu5Y71ZNdab/d2HeAD3IWriPkRTZpdx3o1kcKo/HBThWgN08i91 vwVlgYJHv1uABhma7DZ3X3Iug+2vqLq312SCFtYX0dv9pS9KwPqiv3VHNNge j+35CamjL79MITkfTQPxW4PoRfDjVMfaAlBaFlCQKJ1Ai44zj2vrhtGHHGfa eepCiHmk8u3QWwKK8ryvo7mjG+kpRgw/O18KF3FeGuG89CTOS3PrH3Ts6fr3 3DCXY01XuZkJJve1zAI7yWiHgkg575QPvJD+XFeYnwHD7ncUSafISFmQW9Yx pgT1vWBZkHhSBFdwHrsP57F/4zw2M6mSw9GBhG7/1rWt161C0QE6csSgatjO c4ArR5eIbgnvNQoobEE591qjWLfWQqnpgOYPWRIiB25cuba3Hg2H8G3pGqoG kWdTU6MvyIgwpyyhe7AYUI7wfG57Nly0fPpkzzHKufpU6z58r4T35xY0rfmy AEmoLZiaklELPWFfsmMqbNnLuTJvUgr+Z3bF11r8e70yBskHln6VwQIbc+ae N2SU0El72Ec/BvaW36Ha2VwKzJiLkou5KHOYi+Lx3/PsqLbhuPtvjkrEH+tv 4fxDFM4/3MX5h79/vx2vH8fr6Y4Ms/qxkJDFwLvo3ugWsGkx8z5BzoXw01aS 6w+JiMuSI837QQdIuQ71PXud9Q9fRRnzVZIwX+XvvEcG/ruq+O9O4PUX8fpU vN4I675Yxf7SfZ3Euq+/9WA02C6B7R/cBCXifhERf8m2LJP5FmSatrHW6lc+ HLzT47/7FwG5RUiRHk12opymPeNzNAVQhjkqHpijMo45KkKYlzKDeSnlmJcS 8MaVRftmA/ru47nZrKYcLbjHP9fSJMG7w7JPkrnHkfos/VbNHYOwT/HLfV3B HrBKKJpqcR9HzGd4zrPRjsC+N+vU1542QLDVzJvT4RS/JebTpdWDI3C1YTgy UbsODHEe5g7Ow+zEeZi3uC4pjuuSNFJ/1SXtsF0M21dxvfK3y1/1u1BcvyPg +t36H/ZJbN/7TjcygYMEvOeVJbZtagEtvXLnSppCODUxoOdUS4QNBr8lzsW0 gug9elZ5wUKQ+ZEi77ypAVIHA4sCU0nI1sTSPOFxAWSPxRYqSTaBhKblbQZj Erqz405azGo+3Nm2wVbrKOW8F3pAE+dCQnsvp/SG9CNwvD3iyVSTBmpTdCzj z8nIXeWTg2pdCUj/4jgawFAEjYovaCaVyChF4R7DE4tieGA5FGujlQcyYVF+ NnpkFOw49fAwbwks/eGfd2E/XP+PPOcpnOd8i3kpLzEvJQDzUqL/8Ks5sV/9 Z140EPtd9zBHRRtzVL5gjkrGHxyVfMxRCTcs4ngSPQwf551yFhbGkei13unU inqQGSm+ZmzbByY9c9If0ThKqIzfZLyv73/y54k4fx5VYB8dZT2OGD2MSxcZ RmFz//bx0OhSIA0Qt3G+H0cb8t/28OwYBR/2T8KbfUtA7A9+yDHMDxHH9kBs l8T2tFAevxh+Mjw3/NRiz1+IxN7LeXxeKwf1I4xyaY9IcM04kiuavxwuF99t cjnW8I8OfzPmIw1hHb46/s424e9sKf7O6mNOiB3mhPhgTshrHL9z4/g9B8fv tZ+2VKTQDILjhW0+8fcnISFAujZjsglYlE0d84MyQc7gtOPvWRL87G07NnWw Dk5jPsYbzMfYg/kY3fv+inOXcJwbguNc9Q1i51y8yPDI0v5Xw9cceKr5NtEz Ow/MTaoZ6d6RQVH7w6nZTwXAQLSOZeLOh7Q/6h3PcNyUhvkPzzD/YRvmP2Rg +1NsZ8L2Pa6P7qobj6PfyJH96OVRmDSOce17WwR6X63UhU3H0bGgxa+/b4+C Kg1f4L0dhXDk1Am2/hEyzC45C/V0hgDV7kt21y8nAyHa+5kL4V8/auNkbHNW QBJU30/JC5wgwzazLBfdPT7wWW9SSZozGUQ1rryVvkfZF+8ibZ/2HrT38WPy D5ks4DWleajJTwK9m+Juz6yaUa5sjnbh0aJ/dFnzWJd1AOuyMkf1x35T7ltT ua5JgnsBupsnxCB0PAPeJ77qu/ofLkchuV6PORPtUR2/e/xeJjyJbVt/V0OG u9H0Tv0VUUjmvYBet2cWCPEsH9jTSAbx/BajHUeDED1t6qD/QhZUG2jNvR3+ 97qi5hUyna6nQf9yFtueKjIobHA9kXA1GXp9O4eEh9IhIVDli30KGdZ1t2fX 9GXBO5eqQ6aGGeCC/aWt2F+6if0l7hNpxP/w0FLPJZmlJhWiGIM32rfZEuHR hmha7zkyarQ9ehWJ+iJO+9oQckQULF6WUP8wT0ZaB9N9N1a5oSqeg2I7DKJA JlUjHR4S0F3ZqC1tG3rhWV9X89DVVCAFSYt6kaaRv7j+LdXhPpinmhdzupcM mZjPQI/5DEcxn+HvOl0xjovf4Lj47/Ub8HoxvP7PfpA+XEfb3OL5K1N6HHnl Gmc8SR0FL6qhsMDl3P/RRYRjXUTuTbMjWjLjaLShaWdkwSjs1Ej53WKSDftm D7x+MkFGt1qk+G/ZxaJ5WT8FdCUaMgcfEqVnyIizecjh3PNg5OsqVPuzNQpu D9/uf0fxw72sesgTyakg8E7p1Ph6MjQv1jR97yfDs3uKb2dNooH761KT3Ltk oPIe4zhhS0YHPnhOffMpQWwC4VzuNxLB4Nv2z/Ikiv2eVu/N09Fg+IjK+yxr GPR9E+QQLSGjsz3XWAflsxG/Nd1S/clEmO8Dt7gaEqqXV9JmeduAUsUP3csJ TwOpdTrPiJEpdNfPo/s9YQDZ00mVsCvmQ3o7zV77V4Mwd0zLcVPwFJrw8ymm NcqEQR2jmjuPxuCHVx/PiZwxdClmnD58LAkcnm54/L55ApzSs7wido6gzh8d tSdLYkDRkBjy+vAUjIqu1kzeGEJdFwy+iNmHw2fjNzqKm6YhLu8QVyfbIPo1 O1YUOB4MZ3znXjv7TkNwduVlPYEBtIWqjCZOLhAWdzFbrG4gwOcWqmdMnX0o kT1vjeadL6jx2PR0Ecgot/zulaTbUTApQ+MTxBUJg/l3OrqbyGj3t4M+IpOZ cJ6nZUfHcgiEjXA8iSCTEfeFT97isx5oJsIankjGg9LCm9vbvpLRGesdrw/u KUIJ+3Uyv21IBRpt5LVLZwz0s17kRueOofNnV1ZCzFKhQ7dEOJVxEsq4nPqN WoYRbyoDm2RWPHy5e+3t76dTcCMmxfPL3CByMpEwOm8QCXED2fdfKk5D/pY3 P4ojBpCznPhbo2Oh0ChspLnQOQ3fNM1Utpr2ozwekRPBx4Lgonp82nZZAjz6 tn5SgaEPBQg43ucj+oHNiBrj/EcC8Pqt7eMi9yDuk0EfpF95g3QOuqdXS0bp A89/2m/Jhi0nznAlx4bDsDXtw5YYMhrr/GX+IK4QnvycpxZfCIbcSa7jN6fI aGktvz/lRiQE17evie6NhcqHJ2UJw2QUc/oT//BMKCrOtBNSfpgMJ2oj1T5e HYPHDfMxCXljSGNoY2DdQAbw5Clfs1eahLFXGufKXg6joBF1p7TDSWDLpO0Q VDAFczEGWqUWg4jdls3nVFA0CBQnn+X8Ng11Bxe+VQkPINpQn3ijmDAQPWHk U8xL2V+m4fEjln1Iou/51AnZYDj4ULpS1IIAW/aPh4ny9SKCxuuV+NcBEBqk ZLM7nwA3CQ66F9l70J2idxn8cT7wRfcaQ5A/Ga2q872BmSLIz0nloL4dBunp PysuUeIFv4lbJxIelUE7WrqpRB0Mb4KGpnhLKX7SzKnpoOQc+Dp+xb5ELBoq jN7xjo2SUTyN6bXkuXBwu1XjsHkkEZxUkZxxJeW5ui4g51ufhHanvbkw/T4D ZHcls2pJjUFlbf17dcr9OSzDcbc4PBdEY/tpJgImYeHuuPkKzTDicDDYlGCZ AhxlL6a9uKdh26vG+u+TAyhNU1XA5lwccJof+Qzj01BicUq6/Gg/CmbZxaCh GQEZqja0tvoEWKfXTkp40IsSHTotWAxCQLnp8PDnbALQSscNTPP2oO3XOZ5f /R4IhzhFfZ8vEYDVZ875LH83GlxttBtf9YXT51pyDt8nozdtTntFRCqgcLVl +0WBUHi2hdr87QUyyrio7t4XUwUdpCP7VncFwVldotimz2RkyZC9EOpWAnUr Fhm+JpEgvLJh+U0mGR39YuotvJIHX91Fdh/YkAAf74n8Fu0lI8b0QPGJmVC4 Ivp748juNMj5UZSVZU/5u9M9Dl6H8pDvvhvdnPsLwGBI2Pw55xhs1BAnvswa Q7c/t/u+8qV8x/WEuWw2ToFl0oczNveHkPqAc//xN+ng7nf2ucf7aVDNMfjh dGIAmYrounFJJYI0TSwHz1kC0Bv6BJp39qILrxZffFCJgrOXUrnyUgmQf8y9 KVaoB1VI3L1fnxMK+l9y9j9eJ4B/Ym/vwM8uVLia8LzXMQi25j8wZRYnws/0 3ww1nF3o9D7bsZKH/nBbnHB/uyAZkUq5XqLaGsj9+dT/2sYQaEko1AvdSkah hUrNCzZ1sDr3tO+aUiDI/lQxsabcz2I5w2/UD6pAKYpxpaU9HPoT8mW0TSjn zIjPxk+lZfBsSCC64XMs7CR+JJuHkBH5yhkZ+ZgCmOIrVWdfS4ZUkaNmypTn TeenWUdvTRA4bBX60SWYC63+li6jziQ0JhZ49OpCNSrasSixJ6wStjQy/PT7 PAVfZKv2jzkNop9HloYX3mWDzKsajaq1aThsJb7vZXQfChazmHQQTYapBq3V jigCRN4u+WQs24OUdpwXSvKOgbfFGfmDjETorjd8apndhcpChfVPSoXD1xtb HX4qEOHrdbVx06RO5G/0akeXVzBEHWacXH5GhP5P1KKssx3okMrGx4+WAsDD uiv+wDgJXSur1aY2awArm00779EEQ94I56hyGwlZqY+7XPrVADTk46Q3OwJg z1tVrf2/Seh6q6eW48t6uNZF1154Pwy6x052N3KTkcOO2M8m12thxqCjWFoz GsTEDTiZzpFRgb1gCctgJbww2sLtIZAE9JI2+6JekxEcVtU+frcYVBMeSehT 4oKjwzeU9b6Q0VTfRrvWuz5w9SX3zptLJUA6wtZz/+s4qlrPMFaZGEA81T1H G353gendmajTkqNgKq1unWM0hrIVPT6kNjQAbXbe6yqpabDNWv1+49oAUrRL aT7KVgBNlxsJbs4E6HfaeETpfg9yuXMKLfmnwu3wg3dNeYkg7CQJVkpd6Fu6 nuKYYjxkUnnriT0kAv9e3oi9WzsRP9OBwOfECJDcHp580pMI9HMJU1UyHUiJ VzVOuCQEejXv+x/IIML0XfJp94h2FNkQqrjWGggWh8RnNMNISO+yw+saxSaw cDaud2QLgj2hJ3tY9EnofaNL5rfJZtjw4HjeXplAyFM7JhruS0IJfYTl105N 4HMhkOFQgh/Mxflan79HQoOiSdzR882Anq2/6L/vC2vt71nTE0lIvbn3jisl /pMf3Zc0xRUKgVtyXy5Sft9YJ4Vg20WJy3NHZcbmgkHCQpB9UwFlH+VviDx4 2ggiNxu2LRlFgrlBKOfQfYp9bWytu6QZEjU0Jt8WhIPQTSfb0FYSClK2M2mN bgBhFoPJQt4EyJK/ctDhASUe7s3r5Qlphg6h1f4Rs1jQ2dlLVlogoRdCMb9e uNdB3tWlI5IP0iDqStJYIuX3d1dNaxs9aIaA6Qd7Q6hSgFO8nHN1Fxk1MG5J 9H1YASvOv0z+Mzdt60HDOW8tEvq5ciE4e6gJwGi7cbt7LnjhfFGnHfFBydMS GTqcL5LA88qP/DWvHLnjeeWf8HzhyL/mCyNvPF+47YTo0+snicC3kGgQ8rAT ycn9EFhPzwBai+OVR+lIcO/6J6rOza0oKfzIVM2vHLiw8rJD1IcIirJC8Z6E dmTKsGWvBEoE332Ntz2FSWAbPbttX2sLivBz2k3OTwZ/ssgXpxoiWP5Se+TD RXkeXPKiTvVHgVod77SGFAn83T00H6a2IPoQw3tuh2KhOI0jan6SCBvo0no9 3NvQrlihPAWK38i08efPBDkS+NDnIr6AFnRxa3l+oWs4fOouD3z4mwhuh4SO Lp9oQw9sd39wLw0CNTP2H+UXSMC7ylh5yqUFLRhkiNk0BYPdBYmDS/tIyMjj 5kVh7VZQcq9ZYyH4gxofB1v7QRKqG6y9oCjTCpadtMmtx33AYI9TWx4vCa2U q2ToOrSCXOiJb6fHg8B1B0139lYSGte+f9+hrBUyCr2smc6GgTTHsymGX0T0 3PTTAOfONpjPFowhiURDUlDsj74uIprQu39ANLQNbnzt1eqlTQL5o1881j2J yNWFwJPl3g7ltCpuSCUTDhn4FDMVkcDNlmlfZ3sDOrgzckFbLA20n+qfW4ol wfuG3rmxukbEqKZnmdQbD7IdM7rO/iQQdS8q69NoQpqzQ2JbzkaCnN5JL/Wv JJjlOHSrPbEJ2Tvs/iL0KwQOaNV+9psgIlGqRbGk+DY4tswpr2jtByVjH7tz F4no2emdY70P2uBR/FCTELc3UAkz7Sa3ElHkRdYjJxnbYeGqQj7LfCDMB5Ek duQSkU2+3uGtH9ohqF87IoMUAmo5pvqMHkTU5mpl6HisA6TcL/pyiUZCZ8H3 /RkaRPT45VLaomQnCK3rGkpQ/NKNK29U1MYIaFX0Ktv6chc0+RmHP96SBiFj ucitdhodNvMb/u3SBzrOp/KeJBVAz+OTXLyqZKgZa7xAd7gcsZzvmN0snQm8 5vo+V3eT4XeASdFD+xo0/jx15ix1EkyI6D09vkoCkUB+PkWtepTKbnW69FA0 OArKN9UOkmBrwOZHH740IKHe5w2C8mFwnfmFpU4cEZlJE8p9+9vB/njGyLKo LxS1fvshUURE7Rzn859ZtIP2Of5qNtbvkHmNUXCLGxEZMO0j1t3pgGM8tuHx OwLhOgvrRLYREem77l7+wNQJdXZ02yXzg2GX8XeFhhNE9KC4qfrNUicclBRW VDANhx93JxZMhghoR6/Ope/XuiGNy8X/4Y8YcJZcIuxUIiCeGg2/k+96YfGK I1fV22S49or+92wWGRrPNi86XU1GN7jLXyfP5ABj1vXjTB/J8GXfz40KlcVo cP3IEe/2ZJiItLz9SI0Mh4a/7uBgr0Q11/ijGm7GgkW0yLdtopR4P2TNhVeq BqlwU+ucTw2HZBnPQZPnRNSiy6NdNN8BB2w6yu4ue8POtPLNps5ElIWOOeeb dYDI0k99Ao8XHISQtZsqRMS+/3tdr3snrOV8b9T+7g8CvtqXVvYQkRad7/qq bhccHekXH40NAlH1058T+whoJHQ83ep1N0wY1mwSnQ6FMIUvvbteEpB+nJ+N xOZe4HuUPl3mHQVDERu32ldNI5siuTcGL/rhutP49PtXifDz3KcZb+MpNHx7 562PdYPw/nGVtDhVBiy/elr5O2MMsVLzAHHrGExpPk6svlsEyyU2ApJnpqGZ u2ViYaoX1vNEd0cp10FcwEBiYgwZ9MKtxOjdkmBy7nfLZ9YCkGmquG7ZQAam K3YG59uSUImbmWDqcipUKoa+WA0mQ+KOIFOGwEJUxaK943ZdPNzQuCbY+IIM gT0ZV1l8y9AlR5cXwpciQWvR+MHUKSLye3Jz8slsJxwq0T+4pfM7DOTFd1lp E1F9q0Ukj04nVIqy84ue8IQ6m7wMAhsRnfnIFi4e2QUMZ7vc+g74gSdjunpf NwE59TRuanbrho5uPcWE9EDQ5VCMfe9EQCelBCsTq3qAtdrT+pg7xQ98fc6b wElAl1k3lYW+6QNrHRrh4u8RcLvF0vf47Wm0elWozcN6AByT6Gh4o+Jg6srX pUs/J9GNZ+LvnOyG4PDl6OGQnhTYOnf/Li8lfpi4/li38wQl7hQplQ/WzoNj 2a7GTc4kGDemLfj+tQHGvRNqj5oUgUg8C9mygwxSy3vnTZWC4ZRQVpOLbgaw ubS77u0mQwmbTXmvbRKSJNozjJYnwt6l5TuqKWSg/cbYf1SiAOm0JSyJbYiG gZKm5sZNRCRsYSBk3dEF0d19HgV1XmCv12NZ0ElAd5a1OIaCuoGPU0iatdUH GhRbtl/wJqDo/J3c7EE98Hpe2vJEYgBItU4MDMsRkC8xLdSZ1At6nR5DkrrB ILzl3GB68TTiPJu/3pXSD+66+p0+/WFQc8RjT8vqFDI/Of7s+q5BcNlDUzE5 Fw1p9yOea/hOoqMHvx4J3joM0fJid6TNk2DN+cvxQsr9GfTump1RGgNN5Wkp hxeU8/z3r63Fv3pRdMDimFXfNAibh9I/+VkExt6Vs/FydUCb0Dk0doMEsl69 l2NOVMP2GqOsnnfTsHdxjebhln6Ij3JnjzMqgXlapHXvPhmo2WW3t/8sgavK Q1yZP7OAg/u6140pMsjlSNvl8TlCavQWl1+XkmG3a71L4wAZxNgq9Aj3ktCd w87Lo/MxIO6fwTveQEYqWuTfzc/TkVX5CwVNkwTY+PZ9bx81GXW67U6s665F +QqiFtFjqTD0NEWTJnoauWdIawWp9qNPDUUXfsvkQe8mDeqfv/pRxtY0xK80 jc6411Dd5y2GxSiH4jPKBeD2+5xThTEZ8ZVEMoh5FwK8yrHnsRmA7V4Th9mk p1H5r8BHNwyygGpQUEncdQLOUivHKjweQWY/hX3XvWKhhtWicZASZznouyid +zKELr8iR5pyRIDFve/HrMhT8Mvo1qff0oNIRaN8q7FSCFBJXu/xc5iG5eC2 gCC5AdSpEEW++iUQqFk/vehbngYWqcX3Oxj60Z2Q9wmvF33hVs1XJT1FAhDL 9I7MU+Iyqar0L20Z30EnOb7GP4+MPOmJXNOh2cj1Q2d+aHgyNPZqxGx+TkK8 2ZeI7k5NSKaoZ+Yh5f5nclii25e74bHlUntPFAFFPrYXEN9SAHaL1JyCfFPA zOyy8dXDIbRv55fXZqVRYB3BZ/KNYxr0n5KTPqwMoOhKby/qPWFwevydb2v6 NJy6/vBK+VQ/8nTYtxrcHwTHt8xunhAgwFl+qr3S+n3IgLjNNm3OH6ZFGxm5 XxCg+Uq81ZmTvShO/XuG23kfUFCP27PTn4zG5G37XwsVIK3XB55YBKYDw8qr 4fgL09C6Idx+IGoAeas3uUipRcArferbi5PTcIW5xmrkWD96ffK2UcCjEMjP 9bd1uEGAwbVGQ9bIXpQjqevp7BMIVayH7TtDKPb98ye+WPagcDH6WGEav3/m R2Tj+TW38fyIehbjBd99BEiokMtMVOtDzA59KQrSYZAvMZ9W8YUAsRdXhVYr e5DtTubzJZNBsCwt/Dm3nQARtAWXF8K7kYbO58NPlv3BzjqioL2OEkdzyazT F3Wj7gfBF04ah4B6iJmgFQsR9NZ4XrDHd6HEnoG15u+BwHd6P9O0ChGa9GVW XB06UW2534/1gaD/333ZHbgvu/fgfJ0eJe4oXRiecx1thlkn6p5112CQ/9Ur mEqxb3cWz0ppaYZYco/ExPFwYKBO01Kj2H8dsTdMz2mG6AcLTPcDY6DGIjnE 4S4JCXfulS9za4ZwNyaprHPJgDZX1OmrkVBA0XjFgFwzsN20/iG1lA3zNday JDoSKqeahRnBJhBjjqh8b1QJbBElN37QE2HM+dyFJJY2tJVWit1ttA70b+v6 bZglQnbMvoj+q61oq86e6oD2PJB9WFIswk+C5lN7CnfMt6APt7c2vf6SAtKt kzHN4iQYem3cI1/fghq7pC4c2RsHa42vLl4HEryyXRbdldiCjjOaCUSIREAY qyeD/XkSsGg2DM35tCD/lDXxkzIh//RfM+D+64O4/7rtfGwh2zYSaiYHjopW UPzqLlkpE7VQ8Fn++T2f4id/urTsE727DZRuBMcql0fCY92nQY49RMQjRZBG kW0gXnONfnNWApR/D0XcfkR0pfBy4rBfO8wfk81oYUyHBKLfaiotER2ZqhW6 YdEJmj4+g8GthXAUz6O5gOf4JOB5NKIzknnzBSQQZlLNj0tqQJWoL3K/TgZ8 tzd5JhZNggN0mVT5DY3o+aVuy6TARDiwI2HqmB8J1skHQ4VuNSFte/q8x0lR cFOKKcXZnQRUaaLa5UlNqO77vkTWmdD/s5/aPO30De1AIhIoT9Txoe+gxNVZ kq5G4dBYIRi2y4CIbig9f/pgoQNu+jSL7aWcz1/OWElKU7533s3ta/etu+C5 Q0ff3c/JMKhhum/tP7p9tkT65be9UBV6SsHkUw58TLZiH7tLBr9t6RqOb0vQ wvYqp8WUXHh4y9FXRJAMZ3m2Xov8XI1AJ+pBj0IK1D6+nJpLTfH3fi8zRTXU IQ6hn4cKimIhp1PG23OMBPyn48bj71L8YcOdCoLk8P+zr3nSd0f1MAMRsT6Y 9HPO6gI5DtfjL2Yj4XaSQ+S8OwHxR9b+drTtgW0yIzv8ZhJABfOuRzHv+g7m Xf/NAy/EPHBLzAPfUHHGgvkB5fu1e877lUw5Kl+WHSCdTQRy2ePNbDJkYLAx lrnKVY2KO05GNl+Kgp0bs25InCCgYXaXECeqPvBR0XlhSxUL1etWe4jK06jp 8Fw354cB6E2QHfWg+M/+C3IhtPlkiH+wYp/jko3W/LuevvdKhhjqHYwSX8iQ V6nFvbCtBI33h9blccT+05+rgPtz3+D+XJG6b5m3Nk2jKMZXcfFUg3DglwEn TV4CDPDWzxQIjSLtHYfmT1wYR9fXRDUKH5aDgoJDBaPhFCqpLY04zTSITA/2 zzj1lMPPC58qPvsGImn3mx02+8goysac+J954kpFTE+/1pLQHdov13Ue1SCz 1AMfNIeLYUwihWoT5b04xuvG0H2mFdV2xTpl3iyHmN8FdxtYB5E3x6ivm+Mk ot2f4JUy2AjaskEJzXcakPXPwdfOdkSktsGiWuFFE6zhuTk38DygITw3hyrx r7ml9HgedDqeW9qD59UO4Xm1nHherQmex3cIz+P7hufxeUla6qftpMR3zCOX k3i6odaY5uHjkzVwJO+zmPjW/1fZeYdz2Yb/vxBJIWkXGakoq6REZ6KBMpIS koaskkIUEklE40nI3nuTPS577733/EyyiuL7+R5dz/M7vj3H88fvT/dxH8V9 3fd5vc/zep/nqw2d1Of2jNtIgM2p+W4XQ/rBjZ5+vPY+BR5lZVK8FwpgwPGM zYBRM4zLJFpLkAjguzIqMX+tF87Yc4Rat7cA/bpQk3fvmuHdNaIdxyQJrHxk eDdJt8J13Dc6gftGbXHf6PxWbyOkQYHzYxePS6U0QnKwIcFJtwLeYd7uI8zb Fca83YuY99eEebsWmPe3S/oRX8RVEuyvTVNky+xD3ymxTBY6PvBAuRP1dVPR nrOhbMrL6WCc8FJzPy0+XEsmbXbdPQwJRi8obYIE9EXnmdDySg5knOx8djOE gOxXHGZerRtCTG/FRCyYS2G+94Ow0KUsaHxs/U1QhYoElYLIYvYVcPWM4M/v 94ZBMjg0efPEFPJkOHdlW3wBFGHOcthvzjLqxJxlLj/n7aNfhiHFxVYcRU4h X1R+LHuuCNjDSuQ37OwH5id+8dYvicj8nYLr7rgqOGbkVeJychhMozd+GUua Qoxc9GEvwsrBMadNK3XjJHiLHJgQqhlFR+SqqGZ78mHDpYTH4zOTkCjPsul6 2Qiy1FFcUtHNgYeYt3gU8xZrMW9RE/ddvsd9l9dw32V89kv13BAKcI7Uazck IvRcOrRzXV4j5A6dbn+WQEBcAoFOZ5sHoXS3yQLElQHxLI/cdo1xROVScaZb Pwavs68TuCSbgehuOJOaOQUdq+jTU4suMG8bejqr3gtvXr7rVfWcQtYXR7yE s4bh2hsh4a/WRRBZGbKlyLYPcS8R7F/WE6DljJNzYUkzLOqxRtaz14NrjSZX iQhNp8jpaWcod8PRA+xfUs2n0D5J9ldrd4+Apb5+qSHKAV02wjFt70kUX210 tpl7FCwqOPfxSxcAu5Xu7u1nR9CXZ4wJciOT0OS1EPFKqgKCQmsqJmL6Udhh N61+cSIUjN+6tGljLWTi+fyP8Xx+bzyfvxr7k7dgfzIV+5ZfuAypyTVRYc3E p4o+3QzkKyMvEqCWBAc7i8PNERWiF/K6XhLzUPyzHN7yvDhQ53hUmipIRsa3 Do7rKHbDmblfIVaRXv/qryTi/spdeVoFCiJkFMouUSp+vBtG1WsVB3S9YHhT 21Qw9zgyfz63M3RsHFqep2QwRWTDJ+E81fWa3ch7gZC/KYcEHLmufu27S6HW 9OPMoMYgxIY5tW09T0RywxLpkkL5oI9873yxrUa3vrmZakdRkKJEl3mbRRXs vMHadO94H8z9mL3EQ4sfr/JO9XjQFUMJ9vOMYj9PBPbz+I0cNHohQ4HaTceU vWWyUU6+wZa98y0QijnmZ35zzOEK5phztEmECEpNoUx9v6RFcVqco9t2ielQ C0zoCCYUJFNQk/qoaZdnEXLvZhFbSG4AMSmzm3wipbC/ajqCgYGE3O+frKCc 6gOtwrgpS+VhlM/n+LrEsR+F/wxnd9Ueg52nzhz1uU6AjL0fhtHTQcR2UNrP Jbce3mZrsJ46QEJqce5ZX+Or4dLN+w83a/ZAz7qBz4pyRNBpCZlfKWpDcLEh 0NK2C/Y6UPf+0iEi8vK3Bt3KXmApMmV+7tgI9U1J/VIOo1Bn/+MUX1cTGG19 WRw0Mg4r+2QpYi0U4L4rz3iwuRK9X67arF5WAQNH5ZQViMXo9E+DB8XRBEg6 QpzWZx2CLhLJjLBEAVv5oIgjR2NA3nxbcq5pA3zD8dYKx1sJHG+zfzLPy97s A33rh/N/BRNgOKpv4zmaXl65ecmS8dYUavlWWvhNuhjWiXHb/pgfBoT7Fhc3 TEXmvSJLR+C+xVtzMnkqawrA/ZjOjon1BFARz80zpcUd5umQL3nTQ4itUSzv dPoYev1haor/Xj/IGwVcVz/yv5zFcoqoDxFpIClW4cABkMN1byFc936B697b 8PPPwc//IH7+6vWeG9eWfUbCntKtOk4UiNBfWAg93gJytg65m7V7QI/TD+je j8PRRqnlsr3DMIT53bvxPojwPmhXwPL560UCMlPdcf3NlR5U8YN5rbdEJyyE FpL86CloMdFsiLOuCh3X3VH1nq0ZXuC+RSruWxzCfYvpZbcFLq22QzBh8mIY GxHFVxHaamS74CR+r8bwe5WK3ytpxhPJFuenQFJaQbe2cgh0LDNNL/g0QqNb yaVB6hi6PC2xPD4wjqyz9jFsjS8Cp3YrQoxeDron5J5z2ZqKiiU3Z9puK4E7 pb4DXZUEJH6DTk/p+yDy2eT6Wku2CHIvHb+zy7kNdSuOOUoEkdGP01sdJ4XK 4eiD3UHpp0dQn8G53Ws7JpHfQ1Z+zmOVcA7rmQqsZ8yxnmlffKLy6hoFcR/K KptQbULF09n7Ow3LQAbrHGmscyKxzlkKXnvp2lAXWhUrnxisJCKhN3rNKvea wQPHZ34cn7txfHaRkjwSnzWE+Canu6cGpyDY5VpioV4VPB1eZ7utKREi+y3m CdMUYLH+ldyV2wCJpE/CqyZE8Cdo92aH90P+nC1UPKgErqZ56b7LlYh3peox fSct7+GtrZ6cqoBEz2OjrR9Hof/cZg1yEi0Ob2Uc81CoAmv6syc5b1bC2KNo G8kpCjIy2Oe50aQcPI5NhBrk90CzrJLEO9p+2n0gWzD4RhPIYL00gfWSANZL W41/6w0jrDe4sN44gvUGBesNF6w33kTLVbGca4c92W+iD0mS4QFSdX0nXwOJ O9NZg9OH4PHzSrstbVOw/bN2CQGqQRavSx1eF2u8LjccymJ+NLVBS/+hD0L8 9WjtWKtwDDcZLmx6oihyfQpExkyUr2S2I2fmRmfzugGwFwySXPd4Cmlm2fKc p/0cPLZiP3q2HbxCv3hZfchHmXzSe6Ke0b6TQWLNq74piA3+fT0ZX6fi6yoz nMVU1lG0jZ330uYv4zCS25f/dFsbVLIeVHWVI0GX+Yaup4+bQBm8AiJNOuEp XndBvO5DeN2/HetZTdkzikR1SUtzVpPo1HHB/UoyxfBRI9984lY7Kr1R+mzk MxmZu3b9qHlZAlKCrBtVvHzRqTcwqBhBReFV0y7VacWwq9yP29V4EA0Ghh+c RQSkQdyVabJYCS2Y32SD+U3LmN+koG4w33O7CWyO2VlspL3XThnMXNLSZRBw Yons+aALdg0YLQ59JyEZ5yAGB9ESeHX+/77nofg9T8X71wTev+Lw/uWP9yl5 vE9p4X1qjy6r1Ll5mp6seVfu+fkLMF+RcLnFGwW/3vaYvP1fXs/wXYWsgUhI UaPuq/8rAmJ3qvnMzVKRnJLgzXSeYDA1/pDl7RkJjSfF8rhXu+B6MVHkNAMZ iXHG+SRS82B9eubigaRW0FSM/mt1jozWZ2iteZ5ZBNsuDlI1LEegYd2QjMB+ mm48JLHeeDYPeLb7VTiHENHdAObcjjN9qO3UMwOvyzXAtbL2ruQ6WhwYNGyZ 2D2EakKa7l+wqAMWyScmD+QSoD21M/FrCQV13FmrqS/VBLxYlyZiXeqFdWmu VEf0EvsQvO9ZGHU2pOnY8bnLHhUVwJonL/xZoRnKY9eefkpbFwm7xIHrXvUw 6EtwdtpUCSksTz9y36QgJblmhdZTjbDN+7fP8zvuj7PEPs+XOE/hw3mKHc5T 1t/WWx+5PAkXR34KH3AbQU1qIu0SpEIwxDr2JNaxXVjHJmBu+GHMDY/B3HAJ 9uTdP1yngKIVMdplQ9O3CxusNs6WwUBaoX1LxjgtT68u0z0/hqYSFHWIlXVQ coznqVzuJAwfVjIP0hlBS4xPv1nZVgLD9ORcmDIB/Ywc3NGgOARx3+Wynn+j xeFhwcmRtgpE1LpOdBWgwJ3pQ8dUW5pgAyErIJhnBB1/PEQ4cnwKzouxF/oR iqEe8+OYMNc7BPPjlDDX+xTmeldirrcx5nofx1xvacz1Zg5OqzqgXQjPby0Z wDoqXHPawtHTVg0JjRbbqohUuDtnvCmSFIxefPpgaZGRBMmJMfomo1Qw7M/Z YWCXiH6kjtf6dMdDuEojMW+KCjeM2ReSSRHINVK2rTQlEbLUG647avagumD5 tK3OJOQ0vsXVXLcEfhSZbDwmOYw6Quq6CSNT6HOs/9nDGcUgWL1+u8eJeKh9 LjV9L5iKYu3dLe8dKQaE65AxuA55Bdch456JVEf2k9GVoqbX753aUJK9nnv5 ukLYjHmOnpjneATzHD0N1/otBlHRwKKL8JV7cchYSbPy6eVi4MFcXU/Mrf6C ubon3MKXy1+QYU+471LduTYktivTq/5zFWidzFoa1SADuTVg+7XANrTGysPs Iu17aUpRdJinI0F49bMpz4w2JLHhU58KSzsw/HrHI9BNgYffK0DGrB7xv3Rb ZhUtAH3hMzreHRRQED1Z45Rch+KSRDUeNRb+U+86hetdebjeVfZajnHFigoF QeKbORYQ8tjqHX28pxCMczcu36BdH2WffnDJLB3dNbxrXh1bCiyBz2/rmFIh eYNjtZhvPBrWyhaOmS6HGdxfdlCW2d5Vu01aBPeXlWMOdTTmUGtjDnUpvl6P rxvh62Auy+/cQYXMIeGbgi7+yGg9X5WUfhYE7T/KIGfnAPXWUZwfr1Jpf2fe 7UrGapBeNco5lEWFogd+tuevpAO7seYvLbkcyBmbHJmjvVfJeeNqeszBIKqW r9txOA0SJw/ErCpRkdQultvSVysRaeNZiSPkdLD/5sN6Lo6MDvewNzaNtyOm +3ZOXx/mgTfmMmtgLjMv5jL/yj11+lQFFckbJ2htto9GHbPKMTXPc8GY5+H6 x9epaC7xcddJ3hK0uGizZkKrCNZhnvIJXD+pw/WT8T3Vfe5eVJSco9pQEBIO 56yLlcIbSiB75kRDJQsVnf8U+iTMJhO1pzBefptRC/qzZ7mav5PRgx2ziR1a TdDff1vX5V4tGGEdGIN1YCDWgXNn45mbC8ko9YGTsUZyI2zxrLIKDG6Ee86x HBzTJFSo/VzhWXEDNHMTd2ucaof1dM6Ks5Zk5Bf2wzRotQOaSB+/FdXngoQM Qy6lhIQubrgw9nmlC+7Nv9QTZSz7p6/wRpS+hOZSvvR+vO7Du2ytlRooYGe+ nRy+uwaU65LcDJ6XgVETmUvDjgSHdB7s2/S+C0ZRpMXEulp48JiFjaeYiixP K2b8ss5EheiyRXbvVyjlPHqYXoSmRz+8374pqAr5cV/yqvyZDRbuQtEluQEg Q/diMiGnDJ3s3RLm/ZoKoZhrzIO5xiOYazzDJBPzKHQKWTJcdN/DOQxvvC0M tFWq4A3u32HC/TtsuH+HePlo4hXyCGpOI5soFk1CXY24pPWGAuDikinIV6fA 2qNM1Ss0naFmUqkvtbcQyqlnUgJsSJBYViZ73aUH3n051dt+rgRO4P4aLtxf I4H7a0hndF877+qAN7ZSh6x8ycixX7NIlr8AUsK4VjoaK4H+UMfdt7uoaIXi a3V0bREUFwXsF9w8SFNsD3W0NInIveaIXzl9ETjjesVzXK/QwvWKUDupgfwd U4hIf3h+i+sIsNRI9+er5IETvt8O36+H7/+Tq6uDubrFuJ6wHdcT5nA9IUYh q5dblRYn2+yf10l1opu9tfcW5gthU9YBnmvhRET8Jcs4Xd+P1OdNgkuYSv7h 4Tbh+HkSx08f7FNKvtwqw2PYJP3z4m+f0t9c8g84fobg+LkX52vpOF+jw/la VLMq3bsPVIhSd9Cu/SsLrvUO0PWKF8EM5t6yY+7tLObe7qpIoBc/RoXl5rVB Xm2VUKDDMW3yJBcmTg05mH6lgNHc0LoTGo0gFM6lP2NbAOqYY8v3B8eWA3Ns z2CObSvm2GbiOlsMrrN14zobk/f/5dg+wHpjI+bYzmGOrRnm2Brc/l1fcvij vrT44ff9jJ6/73+G75cNEEyKix6HkJtrrGsLR0FctCqJd7AJ2F5uXFWOIkNg lpLvfrNWkHCSTvC7VQV78f4uh/f3Cry/S+P8oh/nF3Y4v1ix+qIV29SNzlze +mL2BgnxvJfd/8ikCnwKxTaOc1uBTIkc3TdjKho6PLs/SqkSSvDciTncjxOP +3FYg8rCFhrJMPXXnsmTam3IfrzLUNq+GDRzLnwqqKHA66s7pbh5G9FpYWI/ 6Uc2WFberntoQoUrhQu3s/uL0brALZSLTgUg8fGnYfx7Khzlvx1EEUEQVvKR +ld5HtzHfNhQzIc1+psPi9fFH69LK16XS3h9BfH6rsn5vb5uuL73ET//WPz8 A3F/0ApeRwu8jm4Gyi/XTg+jgBVr4V+2U5A7x1X9MxNBPM4XHHG+sITzhdqj TfU8ZCqEtaluGND3QmcYfOxnHyXDy8CGgV0PiWC4zsSWl3UQDfC5RZ35ng/h mNNKhzmtlzGn9W//XiT2733G/r2wP+7XwPf/7evjxr4+GezrkwR6xxUWCgS/ 8op6udSKqqfCNijl5ED/V2GRiF0UCG9hGeNfbEVyfk2rUQ8y/jmXScXnMi74 XObv67n4uiO+bpuad92wnbZftCvL64r+hSRYB0NOGGRDAKV6ICSfCol6qktC j6KgUqykZdu1ArApa78XPUwFS0brja9uRiE5d/G7PidTgVi84K9XQ9MJhWEt /HfSwO5cwN7kN+lwNpZ+59hbKiS8KZyoiS0CFUquPSE3C/wzDhyUaBtCwRPy wRbSBHihTblqX18IudspmZq0PGhh+qKoMrsnEpRXZSx/EAsBo5cy79HyKadm O9nmKkd0zuq+073AGJATurDIv0BFQlq3vond/Qj0TJF8HrlR/3BaB/G5leYf nNa/+3oO4L4efnaeyu7bU+jIBev555dG4Oycbua1gHRY2yrd+CNzAk2yVzuZ SY5BdFfrORjIgUJc7zXC9d53uN77CHMxDmIuhiHmYty7aqv4c5yK1HxeWD7X SwZLORZLa3IkqO1z7xS+OAY2weEez/MmULZDqtvtAxkQjbkSKpgrkYG5EpVf KDOfERUZ6LKMbzhdADxaQlKmQhHA8GHpEscgFb3ae7D8k30qMGWMZNeNxQDf ypEoH/lR2GW9iZ/LeRK1sJUdfmGVC376JLGtGpMQbsQmGRw+iiyVQp+oyaf9 i9cwj3kNYydMn4q6UZGNzVbHiB+l0L3/fnacRxj0aE0XtCVRkeFTTUap3kJY TmPtyfSNAo+snTOb26lIT2v42kGxdBjahQpPxCWAAM4f43H+6IHzx0d+pmcj +Sch/US+dE7tKKoSebo1VSkTqi5EpUcZEIA0Ezbwfm4I8fgz7eYu/jc3QQRz E4Kn1Yxeq9L26UtPDy/PVcHtDfHVtkKhYJpwSvHOYyraUPkmzPZgBbSKL16V DYgAtmjtykgfKtoonPs4gbkEPq9xOCcQFQuG6U5s3uVU9PGtNN2OqiwIHPq2 +PFGCsTkcfQ2BhJAawkVHvMaQvtkhdKtU9NAknng3roaInTH6PVnOQygbcd2 HqAzTAAHW++x3C1U5BXR2vfqZD0EyQxcoSMHg8+E7K/LR6goqsrs8h2jWjgj v8VHdyQMXHSW7lxQpqItH6+6DzVXQZ3kFo6Du6IhrvaG5J5ntPfcwXXuWVsZ eF0ICJL/KxF6OtxODsdTEVuESap/bT4UmyXbMNF0GrsL3bwSmQAxYvc0ZpmG UEfYCztKRyZs4qUvmBUgQZ+y5t7DvP3o8KH5cepAMqTsWjJTRyR4LDwe4Ejq QRe4wgJn2GL/kyOwyM378nIHTSesyPoyzTXCYUbx5rsRQUCw+7jm4SQFWb2W TC43boSKzhD+PXdDYe0WLd6mFQo61iSgL6fZAGWbvgj/nI6Aqs+VT1n3UlGt U/Q2Hr468OTv7e8Wi4OA+28pP89T0arco+KlN1XQJjOdKjKQAvmz7zjNA0gA 1/SMBU70oicCEoMThWmwwMI3JMNHhsO3d0P40W7UEKpx7oNmAsy/058UfUAG zpChx2ErneinYN0p9qtR//KrB2C/+p++dxvse//Tr34R+9X/9KULY1/6n/5z Yew//9NnXoR95n/6tB9hn/affuxI7Mf+03e9B/uuZbNVGDgEKIhX00Z4za02 GNkrQr1PDICnuB5ogOuBWbgeWFR47aM4iYw+Gb5WtAtohxef26ip/P6gqyA6 hrrJyF7g18PS2XYo3J0Wybw5GK6sF7eWzyAjjgjpcc70Dvj6fVnj1jtfCNxj 9Ko5gIxanogU7hTsBMPoRsuzHIGwemzwIIMdGa0NdSt6V9wJ2581//p5NQQY JvR+8TqR0Wq9l/jO+E7w30y3ZprLB16nD7UP6pNRaGmQdpJkF9AbTcnpnvaH 8haXS0QZMnL5eKkCCF2Q1kunvsQdDBP56tVNjGS0kuF/L7y9G3qcZc+YV4VC Lv1RRi8N2v2y7H5hb7qAePGyLKXFGxJzdyu6i5PROo19d5L4aLqBxfWOVoAv 2KruSvvGQEY/qzh37ZzsBnV2n6I43kCIkrkxcbmChLTMJzNTx3vgq9UGf02d EBBkzmxPeERCPjfOyT6Q6YMTvprfa6zCwcPj1cxDejJi9wkzLZrtBr1NRe1l B3xAPKxl1rSJhAY+VyZsKe2BxbmnDarn/EH7wU2FDR9IKII/i0Wkrhf46prK l/cFg//gM5F5cRJy/fx6wfZQP/B9Z35sUxoKwL9Y4htHRNNZi5xc9IMwXZpI KjGOBBXha9ftVafQCoP97MPHI+Dtl/zLZ38qPLvfS7ctewopfJjNLwkYRrln OQgTxQik/Q5Tmk+T0MM7twNf0vehYvW/qu4iBKKGnn6Te6mQ73e/dPlAOVxt 4PdTZyyFGdvfulTpj7rTJNbzp7CeX6fyW883P25Vzp+dgkcVTD+uTQyB4zvL gJSRsn/NTx7G85P18BxjNzzH2AnPMU7Q3aZqW0uA+Q9I+9nkIKLwcAs09haB 4lJm1AWaDpbN+94V7TsMpuXM2sWJg7ATnyudxOdKRfhcqQXP00vA8/TY8Ty9 fXrL5nImFWjpyO4P9NuoaLPX51tR10vgvRj1XERJC6JL+LRtnQoZjLjPbk0x aoSsP+ZTreD86+9+kHrcD7KC+0Fi8Nwkfzw3KQ/PTfpb7/FgvaeA9d4SPr/T wud3Qvj8zgjrZ2Osn3Wwfu52vW7wv/PX3uefdn9rXQzc3lmG8z3ZwIvnRWTh eRFueF5EPa5jD+M69t/zGyNwHVsa17EVcR37DdaxcVjHhmEdewjnWTI4z2rD eZYUYafC9juDSL9908gtLiII75/aPL9QBFyf7t6+YEaC83nmCSdbe1HrcWe3 n73pcP6PuGeO4x4x0OJQWzYVKPn27f0xtPxRj3h64lMG5Mr46J/toiIPC8f3 vD5pqGP0XPSGgETwkLjYte0iFekEdcjf3VeFZKIsyCk+afCG+kZHmRY3zqx9 r+go2IU0LB+OeorlwF91sIn1/ATSvTpqdvHtGDq55qWxHV8RZOE+5WncpzyG +5Tt610P8J+fBLrdO9fVlo6iRIX3DUciEqCAV0RAL3UKCp7d2apCN4IMAhdq xh9FQ+JTpY4kmk5wZVLOls4YQrzP5cKoyeHw7lLGVgdZIlzXU66PyxlE5Sf6 fj0ZD4G5h7HBKplE4GQbOOtNHkBhEY733joE/fO9rMffyyD+XtLYVSR6q6ho 3mGnmpNQJjKnWFHJm1OBITq6t4lAQW2iT8dvF9ejgbzdFjd+ZgLxqd17u7dE 5HteuHPp1QAyi1Dok/Is/HN+2j/zHglmZS/1ad9v/iRnt3jkMCohthzU8I2F 3lHir6IhAlzN7p0ZuDyE2Lw5JdSkIuF2l6NNngORlrcOrKcoD6LX+6aYzJnD 4IZRIa/ULBHs+j5a79kxgDh5zuVkBgUD0+VBWZ0LJHgYnKOfM9aHrLKPlS3b BEB2fvxfRilUhLyk2+TGc9GRGXPSJ5QOujg+fMbxwQ3Hh32ZDF8kjtC+Q7um 0p8tg+hIkOnz7F9RwPxB9dvdSiIwClPDfKMGkGmXQCmTWjgI6bMrchwjQWWm Q8Ghg/2I/VMKccgrBAJrpC57O5IgQSqDL3+1FzEWd53Y/CsQNEIimMS3kSDE MOSzgHs/slsrVJ9UEgHuggc95J6TIKDOdWRuRx9K9o2ZWYkJhZsjI8WjRSS4 aXJF0Wa1B0k57PPefCUYMnKN14qWkyB6/dLdoNEeVCgS8/RJXxicv1Uyar2O DL9Uuu6FDXYjwVR7g6OnQsDWaY26xWUySC3y8TMEdiGvGLEVsnTo/zef6GFu tJT9PQraZRmqIzDeAuKc61760P6dc2jnlx36FOQ99FboDi2+KFvT+968EAGe FnHzjrTrX2dfzCWiFpAc/GKW6BoDZ62DoyVo1111Oi+Bfwt8aLdl7iUlAd/x E32n71BQvgebndnNFiCKPhNNuZAOUTju+eG414Tjnm60719SIhTgZGypbW5u RW32j3zfziXDTU2FgM5TFPhrR57e6bRWtOWQ0w9tFAvO1vd/7pGjgCO/zpqU wFZ0MXD8Udv2yH/5V//mB3m8Z7SQ4KCgT2P268fz24CTxONAJoXBV2WtKn56 CtL/YGazlq4dvAlboxT9ouD0UT4pO5r+aQ7gzdt0tx1i96axpn+Lh3v7ig/2 lZNR8eOw0brFdnBL3P7yeEoqKNOLLsZmUGDDQPu2iKtNqJH/UKUMIRVEK+rG e6MocG7Naobprybk4bN0X5s/AcjnTVhL/SmQrWN8NsugGanfDjsqkx71n75T gQdnY75HkBFLHMdUAakDbPVGP2wkR0B4rn/QqA0ZiToT1IOiaDrK6YrR1ONY yB1bDHI8SUYJbVs7fPK6YKiW9duJsGQw5SEFOJSQEIfHksSETQ/s0E45a6iV AYqm36o7pKjw/adj4FJ9FTKdeyDAKp8OZWJpCWNbqLBqgzg/PqlDdYE1hZen kuC+yBZb0UUKOD83f8Uc0YB+rOkX+/om5j/9pSEmDO0OnGRECG6aEHTtBj6V ibk3atHgWtb4MjaXhH7NSt5fIfZAw4by1iffEkBVtCd8zIoKHFWXxVxelaHm rD2tXO9TgCi7Y95NmQrsFQOOvp5VSE5SSU3CKw6G3xqdeHSJhMxktPfcTOqD HUlieQePxQHXnWFu9lAiYnO82rPl1wAcvcBnNyqQAiVpVy8rl1FB6di7gO7o TLRNap197d00kGm5X2vsTwWJ5i9THmbFKFBB9DPnRMJ/8lzebdn+3E+ciB6p 3XJXKxyEvrLBSu20REjDfSXiuK8kDveV/MnHvI/rAH/yIr/ivP7okk8bMy2e u0t51J83zwUpOq61Dw9HguS6htXNo1RUXXSBr/luMnxWCBVjiIiFce3c2Y8x k3Df0P3jD9lRZJ/5PanP4795iykus7d/0PJc9+iCu3lPSkDtLpeKwlQ4tNfo O27OpaJDzilWQrR4yqowwxoxEQ11r0sNhXuoaL9dxb6ZklSYvXJe3Zj29xZK 7oyqHZ+E3iyDpMPEEXSydpvGDC1/Wb6r6G/iSYC5rXxi9qlDSE1P71We1H/z DffsZmBbuU1FLwoK47ucKyGa2UTlPgqDjnAJ1gYHKhqO41T76lcG5Ox3zW9V osA+ZOP0hija71N6rTvWpAiMP9zgETKIByUG1VbFOipKHqwJqSCnQ5XaDgfS 7lQQq14NiP9JgDC3BK7lDUPogrn+k8+qqcD087Dc5xEiCHE/OmhzZAC1Xp94 c8Y7HhI/pleU8VNR6gVRA8sNdXDLkZc+IiEU2rt/MDECFZmwCRK+ctRAmOTH t609ERAQd8T05y0q6ly4x1p8qRL27ArTX1CPBQZ3gs+4CxVl7rc9P7i3FMpN 3hYMvk6G8iflJp3pVJQy8/W1/9UcOF1qenXPtgxQUlTI+/6MCKES4tebRAfR iyeqA2sY02Hf6o7L/uokIDev9iw79CFZeTUhn69JkGnHcFSolgTDH3SuF2b3 ID5hSzv3B//N+2s/yz9NHqUgPSUOnvUujWC52UDSIjUEPu6o0NdapCAf7Vi2 +70NUDScWav9Nhwa75Iv8bNRkUzKwYtG4vXgVedMDLWKBhGr4wp+wlS0UZvN 2LKgBtgNnth9kk6E0GK20JeaVKRYc/DQz4oKqFzdbctRnAakUML+225UBOs8 VwjyhaClcXhy15E8yKwSlsm8R4BNb7oGzB4PoVekX8yS0iWw33d2r+9eElwT 5T8vNN2HsoaIf8V5ZIFziMiOo20kuPrF1Hy3QQ+6vMFh6HFlCi3/8qlSlyRD RtRtdsPBLqTzqakvoDYO9vrRsZs9IYPOWsm160c6kWanW+lAUyQ8dF7mUAyn oB7n/FqGq82wxyvyKlttMLgvcl8hJVBQ2XnL1xPrm2Hft9gBLc0w0AkO32Sc Q0G5jRUmrqFNUCrQDYS6SIjarkl3qIaC6G/wd9awNsF9lrRggbI4YB5xfvV4 mILCNH6lTwg0wseUCmepwhRYfcFXfoWeilivz9RybayDEypNNQp+WfCk5xGH 0DQJBNzvyK+9003TIRvcJnTy4AOL+bOdJmSYmgi2zo/rRIfaVRWYpL/C4JGs OY5EMlwesZwuC+hAJo2diDssERQWptkZW8mw64HCjNj3dhT+2a97Z3w0aIe8 DTchkWGy6ZsJs0s72uqy/ltmdDicl71RwyBAQS5Zo4Geum2wh01tItckEJjH Ptc1TJGR8BU2wQVaHldxYX5PCUsAqMg+ZRPoIqM1J/isZZfboWuutjpDJxg6 nj5w8U0iowfry4d/tnYAHcdXike5H5De883MetPy6F0ChtbnOuECu/C2Fu4g GDWudly0JiNHhqepja2d8E5T7JJyUgh0Mw2++GJF+3/3Lx88Pd4Jo15dW9J9 fIF9XCnP5wYZTWeyDTE96oL1+3s3S0QHQI1/h2QDLX+3iCaz+O3qhtidpasV BcFAX3qxf3CFhG7qkmqTF7vhXH3zhsjjYTCCzz2N8LmnAj73JOWkmozIktGc gVV860AXGBNUckccfcCLD/Uf5SKj0OFax5223bDumGPEThV/MLvNb/N2moSc 57I3eMv0gCpnV6NgZRA4i/eJyH4loTP9Z85PiveCVPTQC9OdobBl63St7W0S Yllr9XX8SR8ELgkNRf0Kh/kf/iC2qQpqNyZ941OlwMzjyBQJ6UZIwz43d+xz y8Q+t6wfmtTSMRLi/nJqv4xZD3S5SkvqbfaDKPY0cZ5UEnprUlXtcbYXIu7T HbI9GQhmgyZfy01JaNeOqhgvhT5IUpi85bMjBDg+xdYUbyGhJ4JCQvW+/RBs aPN2S3QYqLPoGZ32IKJ9V15+oz88CE18UoG8m6NocfjXtjM8E4g/ysP+HWEM BO68H7T4nAkZ2F/Xgf11n7G/znvTEUHDHVS0bXXbPqiuQMya8qzjocVQiPPu Ypx38+K82xT7Nq9h36Yo9m0W4vm3hn/Mvx3TnS7mI9D2rw+SgvdYE8CnUrI7 9VUUOK2bSJVoGwOXlOKFg6cnkJwYLRKqpsNlleqUZMEJFH5tv+jjG2OI+NxN Isq8HHa/7j/0JnIMZM/v74/RmkDxHAo2u3Zkg9vT6sEzN8dgu0wU7x6nCeRV 0NL88k0BeGpe6ypSnYI0U+/x/VdGUEEl+KtszQZt7Id3w374i9gPH4r734/h /nd93P/+J1flPeaq5P8x1+4xPrf6jvujx3B/tAvuj3Y+QLDxaqdCXH3G9umZ NGRwPPz76xPJ//jArbEPnIx94A3Yvx2N/duA/du82Kc9g33a9tin/WWvxPPn faNwuP2HzpvyCcTcExGmd63kX/PGA/G8cd8eI5beDyQoPO92eC2xDf0ci7vI W94MfXj+SR+ef3IIzz8pyZuVZ/Rvh3RfaZfpxXF0dnlLs/zRETDHfR/Nf/DC nPCczxt4zudOPOdTpRfIYrubEOWr4WjKEwqqUP0m4mdfAhv9fvvKkrGv7AL2 lZXj5/wT+8qe4Of8Cft7R7G/txb7e1223CcOXulCu4sj+JEeCT4+EDd9/KEe GBeD1gTT9IkKe3czNb4I3auNCuRyzP1nDvY3PAe7Ac/BXi7+MHa0nQJfH1xl fWdajabnzMin0sogHs/pDcdzeu/gOb1xSgvuox1k5NajwJN8pBmNZQ1fT7X/ fz4TE+wzoWKfibPhLSmJN2R0r3A1qrOqA07Rmd/1Y8+BY9gfooj9IY+xP8Qe +yvYsL9iD/ZXnMK+CDbsixDBvggJXEdKx3WkN7iO9Od8ziBcR8r7Y0773xy9 mhdTr9kvEEHl0yofldqP3ts88dzrUAX5mC92BPPFZjFfzP1sUN2VXjI0j91Y 9lNrQycUeCwslIvgOj6Pdsbn0Sf+OI++gc+jVwJ+n0f7n787d+U+FdTF71/N ulkCYVxrQpW8CsAbnz+G4/NHJ3z++Oe5KuBzVY/uvpbFaCqskde+tdk/D01s mT4YX5cJz5e5bkqFU+FChI6W7doCeBSVIzwQnQkfVb8RHh0moQGr9AMx830Q kk0NMdZO+2euIBM+fxTG549TuH//Ou7fF8P9+64T9CFrpCeQqlLRlU9ZY/DW J/Bj+b48+B/rorB2 "]], Axes->True, BoxRatios->{1, 1, 0.4}, ImageSize->{440.41353605215414`, 285.}, Method->{"RotationControl" -> "Globe"}, PlotRange->{{-5, 5}, {-5, 5}, {-164.99995500000307`, 1.1224489650145562`}}, PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}, ViewPoint->{-2.610705955348782, -1.7772813409553776`, 1.2146956202268682`}, ViewVertical->{0., 0., 1.}]], "Output", CellChangeTimes->{{3.53118699259781*^9, 3.5311870423774977`*^9}, { 3.5311871132484217`*^9, 3.53118717485293*^9}, {3.5311872062245855`*^9, 3.531187330837604*^9}, {3.5311873624432597`*^9, 3.531187579673641*^9}, 3.531187625350521*^9, 3.5311880050704527`*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJy8vQeQHEl2ppl0zyygmxzO7AyHYshZDuVSz1LskksuyRW8JW13aQAa3dBa iwJQQAFVhapCaYVSKAAFLbsbaK3FtFbTcmT3SM4MRy3vzuzMzuzM7uzsuMs9 0u/9/3vu4ZkV1ejmjl2bvWxUZkRkZoR//v/vuYfnX248uGPrno0Hd27e+Ik/ P7CxZcfOza2f+A/7DshT/ocqlR96WuLjn6jg36FSiQ/87xk82B/z/fujePDY 6fbs2Z/kv/l0sP8ql7PXP4iHKl6u3WDLGx3px/HgGt//x0v2upq9/hNpr/zZ 9/J938u/fyqdE/kI27ZtSx/hfONH5EbOPmzcUv5fuZBt+ZG0pZ6san5M/Ds/ 7IfmHDY/B56PtboDxLc8lx3lAw1vWXaU+q/m9IzKU2ey49ycjrPwPR6nWvLc bHbEBemIP/wej1gree5kdsRqOuKPlWzZlL5Xvs8PpX1+omSfhSXPzejef592 /FjJRjeVPHdMd/y7tOPHSza6ueS5ad3xb9OOnyjZ6IfT17PN/++0eVn7+acl h/hAyXMTerD/Mx2srBmVHexHS54b14P9H+lgv1qy0QdLnjuqO/7vacffKNno Q+kM2Ob/W9r8kyWbf7jkuRHd8X9NO/5OyUYfKXluWHf8m7TjvyjZqKxVDumO 30s7/kHJRh9N38w2/zb+x173D0s2L2vJ/brjN9P7RMDy61j23j9Z8lyfHuzr 6WBN7/FgP1XyXK8e7CvpYH9WstHH0hmwzd9Jm/95yeY/U/Jct+74hbTjfyzZ qAzJLt3xs2nHvyzZ6J+mD2ibv5k2X1Ky+c+WPNehO76Wdry1ZKMy9Nt1x1P6 EWTHX0uHKEP/lpJD/FzJc216WO2zq/kh8O9fTu9R1iOUvcfPp1P07kf+hXTk tSVH+cWS51rf9XifSMfbULLvL5U8d+Bdj/fxdLzNJfv+cslz+9/1eB9Lx9tW su8/S2fNjlJc5p9MO+4s2bGsb92rh3gg7dhcstGvlTy3R3e8N+2o/Uf8KqXH +fWS53S7yl3pONEl5I1nd8mOv5FOgx3iznSIQyWb/1bJc3qS1Cdyx46SjcqU YofueCnt2FWy0T8veW677ng+7dhTstFvp29mm59Jm/eXbP67Jc9t0R1n045D JRv9Xslz2oArx9OOZf3FQMmO/yJ9aDvEdDpEWXdQdojfL3lOAVXTMa/ZLDtY mdis14ONpYOV+cyyg/2rkufW6cGG08FOlmz0h+ms2OYDafPTJZv/65LnVuuO vWnHcyUb/XHJc6t0R6ocu5gLJRv9SclzK3XHw+kdy5xB2af40/Rt7RBt6RBl fqDsEP+25LllerDWdLDrJRv9u5LnbtMdW9KO95Rs9O9LnlOd1T6OO95fstGf pW9rm+9Kmz9Usvl/KHlOjYD2Ctzx0ZKNyuzMYt1xS9qxDNOHS3b8i/Sh7RAb 0yHKMC07RJlLUgOkTPAIz5Zs9J9KnvvPuuPqtOML825UdrDM2Px6+tfL831A fm/b8TdLvu0vpUO8WnKIRfOdzvKD/Xw62BslOy4uee7P5z/Yz6aDNchs2bHL 7KW2Pj1JtArFEcsE9/WSQ9ySTmF+sIYdfzod9u2SQ5T5V+Uvynmdiflyyea3 lTyn7OuRuOPXSjZaVvKc9jaVf5N2/EbJRsvT97bN/zht/tclm68seU57WVWD eXH9ZsmOq0qe075e1XJecMsOtrrkOVUctQI8wv9SstGadAZs899Om//P+Fc1 zK2HrSs5jsqoWrFibzsh4w9j84mHtW3Lbto1lcp6BvvfpA/gwtGHAo/jcBgc 7JGGg/E72CF+Je34/fw7jIkVHnswhKMPBj2i8DEu/bkcljHBwz/Cwz8a4mer bCr5rJrxq1+Xi2SfJKTXK3naLm8zKiozirfXcPgccsij+DT4BA/hL/kM3t5/ Mnv/ssRD/Z3lH7W6JAOb4U2/mX/1kfv0dMnnkK+OR59/ngo/kJ4Tn58TPdPy BXBC4oeqmDqVmlUtfHj73nYyYni9Usk01H/yeOZ4KV06zBfTF/Fh+F7ZXb6M JVY8rXpqXTqvHl/DW2N5BLXA+OHjF5h8LKQvwTezj/5R+1Y5bY0GqTIP4rFG W/6F4htlXfyiTXaIN/OGMnh3CEP3WODLyjeWow7L9RuxwBfWo8rXll1is2Y8 FGLLPvpw0bLHH5l7Lh7TczGl56IsG9UsRyuF1fnk5P2dn/rnonO0RsVT4uzE LNqcWk6FLeZFbMzzK+djQJLKATlVgzHuwZ5y0io347ThrPGcpfN2fzpvsd17 MljDKSODOF92ztBl6cmSXiZvPHbSXJh6vPG7lBHxyR9Qs+L3vyl7VU4RTpCe JjljW/T6PIlNmrTD7L8u31BOk8P5cTxB1diq4ilyOD8OJwfdgXVR1leyf0rn 5iH2mCAqNaVaXVOyM1OJp2b6icLIbC05Nb+Vn5r6Kkn8wq7ktRJJxOfNM0c0 nHRuPM4N/rnVoNtmR3wgtSYXeu+U7fquYTs5a9xu4Dq+sJw+tLX6dsZW5nAK 5UgN7Yznkj2rfRjjMgqYnEFojhLJmODpfFR2kjNoQzxyBhl2DjWHYPdRd9bK +xr/3s4a/rop29TOWjpnPGXxjMplW7SdaG7Xc3ZHwaIPPbeH0HMHQ/6SkymH 7L0WcEY1rgc2R/vAEV07rRVtmz5vm+jo75OPICczdXIP6oVBi0ydnC86uUcM Wp5MITdvlziXdl4dTiqa55NF89xe0jzV/6qWudT1Fc0y07Cyc1rfEqvznVCP R3l1h57Ls8VZrYXuqyEciYEzfDu2l3PM9ooTXZxi+UxykuV90Hz77wrxPDuc ZI/z601MqJzD92uHyHhAT3F0JPEcJ+LVl8T2qtbIWWOdfDw7uU+E4tw2nJQy cdHCY6qg5pvfnJ9D6VeBsEvn0BUQ4/TF4GmUDXamPSVnl9BWN4VDWs/YdVmO 0X0lbmcnWV6Q0yzHzZpz6LnTTnetON3XNfrZQ8jJrrCb1VN+N/6Kp9un3tXh NJvjGk09wthD8Wtk0uOLRrwgTFgDxnluONfpPE9/qmjJO0rO86/e6DxX8/Os UiJn2fMs++Is72Bz3YFXd0aU7RRr7MZ3Wrwbmy1uLrSbh+cY0gL7+/CFEDov WlySL9vFh+KqoOnzytxuV4XtHpfmzoCrwWsh4XEhPK4BG7p9E3TRDDR47aWH 7it66eH7TfFquCjpktRfFp9flkpxTRwuiVyYuovyhF0U6VJwSRwuiQvHPtV4 uotuPL8m7El+pKTFv5fL4Hnq7VKAkd3YTy4CLwFiSbO8w5I92PSWvbqp/F+v 30G860K7Ku3nQ+iIcUF2ksskmx0uLhRDrlWGkMO1svOOToqBLgrXq1ZcL7tm eVfVd5d2VYy77QrWGq8gL6DDBUS/pZcv9l+NVI1Gy2K6wEsYdQEX8VE1c2CL F9Lh+jmjCZcQqiAXTy+hD8eearyEZYD9cg5YobvW/uf0ZVvNjvDKUlEjgTtC DF5cXtv42u4Qw+GyelxSxyuph75lXwhL9+EveVyYkpuF2uMdOoMDHRJ9aYtx TnZvPxfPuF10Bq67w3X3uOC+4Vp7XuOCTgpSz52m/JHMCtGUg/cVV5gxQMEf uCfBem+6zLzKHhfXmyo9iK1GVfA1HjYPpZ+amvRoiBdWLyoU6vFEZ0Uvby2/ vBpP4TW9wseeLrrQXSVXWEcN0+Bh3iA+kHehW0OManFxfX5xK7yy1ZIru9iu rHQui/cEXF4NYTZxuw872VVuCeFWxH58DTz6cNsB3U7+X+GFvzXn+8BsCK2n Uvhw8DTOy8EzAc2DjcMaiBxQmoe4G2kf7BYQbCXaOtg4qtZ1X8ZBuq4EtBCN OjnVbx/dIVsKnYtrbB93zW0fsQvAEWL7UGcYe4EKWwp6cuvB0ViswaAnfxjf gr24VYtii8m68qyxhMkntDtHV67JzDR7cWksaCpsLrxsZYOWv3ijVuLzVlJh E6k2NpGd7MWtiWh/7lM7QfOY00j2Fo0EnYBacmkkDm1E3sVaicYBeRrNQ/lZ 1hqKOIh3Ws7HFYcK+b4JjyxL/oj2JS0nsMn+EyHsP8mQv6RtWXNOLey0vBNa mC9a2Bl8emljHs3Lo1XZd2O7upj3OqYwXWoHrFV1Z61KRCa2LLhi2rRrtGlm z9CwrHHBpsEGS6tyaFD2UWEKLLy5AspJ1pZQYkGuMcYuZ+wRbUgxKjwf47Ep LdSm9EQRWVNCQ6qas0d3M/NMEZXYoOgN3qUZ/WjejJBCbGNrKZoRmpA1pYov b0bNeTOqNjYjz05GN11qkvKuDcnnDUk2lWbk0Irk4ZA8rMDDyra43cr2EFa1 Y7tVHXhudUcIqw/rGfgQHjmZ6aPa0PZMy757j8V9986EsG8G++KxFvYdD6EF cUJjv7bLk7ITmqM0ylMhNknZSRqkfAdpkWyP1iY9mmPs7drOF71du2khPwia prhWM0Cdlxnv3kIdGmjs/O4MUSBjv+dzXdTmqZ3egjBggsiwoi1bKQu36PPE Bz3AvI0tdQT1zlFmEqMPUyHZTsdgWI/S9hw1hdTmStszAdszSV2cfFLbaMUq 2LqVdHiURYcGKsc4/myhkGWzP37uH9tonbVVvrpTO0A22mrWaBcXjZZGNmuw lTkttsVarKcq1tBUqYy3tWpoB1nXTuW0o8tb0aaxEtGuXzi1Vo+G6sKaTjx0 ycParvi267oDQrZbdwTvuP5ICOt7itjQg1l6PK/bR2XP7WP4jjvGQthxNIUL O8fjAXeNB4Rsv3tCXtg9iReaJ0NonmLIXwmOKsHAXvsUEAcyZIuMDeVCmvh+ 8QAHYlhPzc8ldLCj9ql/duyfa4kEoyH20zCGQoG8vWBA/WdcNZe4MHQX2QDD sulIxA27a3mtX/R/IIYigWLRfVG+DAs1AxzDoG0cwUDGKLOAjAjYATKB7lpw sGMgw0a3bV13JZbhpz5l3fZToQGGapgRGI5bVGwmQQMPn8h4YIL3oRIKCIAv AcAXAFTZY2cQkAGf99VLVfWLlk8/6NDw5UvmTX9Za+wFoPY1tH80/xQCgby2 gt11BoH8JQA4AIA+uzOAAkSFKMhzwkJY2x0PLiwoCtVGFHzY0IvtN/SFsLEv br+pX7bfNIDtNw+EsHlQY8ugbL9lSF7bOhzP0NYRuSwjeONto9heeAJOMTxI AlsC0E4LvsUucjSBL70bHBUshebpoGIjr+05FgCVxkz8fNAbn+uNuiCnYrN/ 1hwQiTqQxEbbVxQbxlkzQMjFzjEH0zhvtDUVtF3UIHHGWqE4ZMwBMUvHDDL1 15UmhexaysYiZQ6IKV0+pwuOG/56kP46YqVfHorT1Kg4YUR9tgNhHmBRZizH Hn+MUbEhO1EYB55ijm0+2gEpD6QcSILIPBfCief0jfckP/SJcmnBRh8sgaoo qaoDimBBcwwqD6bsLMH/pFBJcWEJEy246VtaNHgqAJjgtj/ZoEoZZLcdzCCr gisPpDxoss8qNIVVh7F7A1JdhpQHTWZTBaQYHgzJ9ut7A0AiTA4wyXOGE2CS v4QmD4iA1FAARRrDiSaQRM2fnyanuiQwyckiThMBJKlGyf+jOnmKUg0oASRi ZCjJsQUkOfa+qFKCkIQnR7XQcjLlEVGd1LpFx1YH0VkVKNnvUMFONG7yVu0s WeUAwbVpFyYEebNrXVfNrrGCMR9Gngjh/XtZtuo1gHyjPN3bIE+eZk0/OsAx eAplIjbUIwxsCDGwaEcfY9iQ1MQTcGgFOaDG6FFykEdkOYRpkrwmFMn24OjE 8/rd95YI1MfnN2x1UrU9G/n5AVC1oI6qpS1JuYBVpRAuD5RQ0jjIzNREGVZN HtsKq7ai3cCq5mCpVROq5GnjirF2HrJ6ZOv1fOiVhw18SFBt7I8tKEFVa4SK TDkwZYcWnmJ4+j15LLxeRaGq1UFlYMmWQpQzm5eIUpE6Jkd7bzjNFjg5ilIt HDjNtFzjTOykDiIBAlM+1ySUgM4jR0e1p4P5T8elRJOqUecVA6qWA6VBiI6w BnxE0x+Na/Fte69bjTA6v8oNdGlBGLxfdYmh49QRrQrZkg9pukTjlxjzZCwW NGwMb9zyIGvowhuiQujkU8P/Tan3U+6eLuHu2QbuHJBroKnMHf7MjeB774Nb HujRJFoyn/AjcsadB25WNSRwhE0evWXyrXhg7cdoI2uWxC+nITTcEPICmKuF leCtwzIl5a5C8Dy1bGFY063GMMWRUKCXYyefnorWl8KBPHl6U78Jm1jDTYPy 9GY+DOG1iJ8hGAncFrUNBI5pxuUAIKwhEBxP4cAf/aGddNhDxtRcCI8ZhKpp TWGvwscgjJpueWDowZ+i53P04A7PJGE7S1HTKoTgJ0/notYG+qBpC0L7xULT IomHL0eaOq9YKaLaiKIDi4riggLFayHZQ+obhzKjN3RAUI6Ua9vAfckeDhYI wh4+EL9LsoYmcnF2wFihbYqdtJvxx4usa+KJ+C1A3k1hEuTNpY9VMyNPtp15 NpYl4BpN8wjfyReKUkWZ8v30/PD9kxLlm5c8V5AnL5vY6ReZy140jwYfASR7 clVuzYxj1Ltlh+KxEoHVnEDw54Cf5mYRQPWSsunqrkL11iAdW8uHI0n6esif 5mSCH1My4XVDvwoeAsBl4IE7D+48cKOBjL6RrOW+UVDzoMuDLvmK1LdJjQSZ 1TIcMzCfG8eKLwEsQhYB08yrFvafSplX5Ez2B2OebBlnqm/eki2CdRFPRqA6 OK55mCUNwUllTssaDlBVfI5VJXJ1ZxyWjkz1oMan6oZDUN2KGl8/pgZETXNg qeKToGkNY/jBhA5V7JFUvng0VvPqcLJq3gSLF5NWyTOIHCiCe3xaOTqmKsaS XqZgmnupelXDCQHopIUca1/KxN6FnA/n5NhQl3vXYWraRQdwtKqnrcjMYoNw 1aJDLPg5EJMvX/DDAvRtqOkJPvZhWNpoo5QhB4N4LWRdA9IV5WvVYSNIvOJq FPgEH1hHhSeKmCc/ntplDGkuhpJfX512gaOKClgtbBzIWFKOKgVIqllNYWvh GHOefD1LHghFpZpKEJEhZ+jsmdHixV4WywWhWBGEPJGgk6xg5BrlgA6wMW+Y 8LHTCGsIfSI/eLygNfJ2jhW3Y9SmA6M24McnfhSbLqtVEBlfhsx1Q6aaI3ND KarmUoSwmeIjKcEafSQO20CEskTLhGjhHCHiyE3BkG/k5xnjRwWoFmaeSwIU jj/PlEs2EIJMiE6+qP34/hIh+skb4OS0fBLlx5nfSxoUq4OESD5LTLYyjiqE SB4oPky79jPU/Vm2JjCxSs5QkJh5eXKkFwVJl4UDRfLQoQrkTHgygCokyAMc 2T36PgtHcPSoKGRYePV8AKdJJWggNKLjzfZtHi5s35YRQ6hWhxDw0U5Ubd/2 8cz2TajtE2HaOVkI0y7jydgyYaqF5mNFRWPPHK4csJI3aCngCi2zqS64v1Cm CiGjNDHtwnDUuVDgBWGahy6xRe2Xkk6Fjstq/g4LZ2Ct82p0CzcQqiPXSoSq Gnqt+E76MFLaj5HSAY6UCm4ch2LcHxkb5lSbWAnU9x5BKXAUNXYoVTVXKtWp cWZbEbUi26pSrvDm8HwSjulWNSKn8axCpwWOWqRNQ9VKDie8yVvMvlhYwJYS 8n4iI48Nl4s8WOUlzbwpxt0XcexpEabdLELxXeiyBix0xSBlHnA5s3fYwLiC WLVip9zoJamqhWVtoR4zJlmlnIExbLq6K+fMm7lba8YOwa+zngX3TJ9Qfu+X 7YUtrWlQlJQV4FUr8BrR2MoS4VZavciW8aV41Qq8JjRAlwNdzgQrwmWAzWFr poGtKrHSggaxmiVWpMqBKq0S0vEdSI5vYWi1jApkHVTRUsLOW51d2LI6O1Kq FEqWA1qY9DYfXC7PqTCV5QgoygQsogQB404RpZrVsAYLvUIoSrWE0ojNWxvh TQijKKyPYXK4QOQBkBq9pjDxpAoVyJm0bInvN0VyMsFK5ORy9XyDXHmQ48Ls S41KtK8EH12lKa3NkG/+Y9lzmQ/cme5DMuWyMxqRki8U1SvFPvtCdWjBCqr9 YxhhRpfP6YIVpHohlVpmWGlGxXIhE6mOFILYYUXMgTD7CkijVnfjr4iYN/Va 16vvDrDW92nBsADLgSnQNaRbgSsHrlCzqCdLwWqqAwulQuy2HeV3QctGtDK4 yBYSK9OthNe07qmDWs3qBwu+kFihWKhs7YNUWRhjqlgsWDgVqtazMZEypDCE dT72f1AqC5/ZwA7UBw8jc+qMFlANYSy4Fwg5IOSBkGyHcSoQ1Mt6oDBU005m AEX1QUzRGcJ9O0BmQRh+qAGZRzRbGn00ZkvVMPZYoUFHHzcNqobxJ0yDnmQ4 ICRHjGWHKZsPiP9PPxOngglHNvgLjAwlB448EFLxqYWTLwVwFGZf1kj2jznU u7Dz0UZ24lwwUmNnQmCpUn98JIR1dT8fIUaJEuJVcm5DSWEZi3qmNbYJq+k3 hMGZr1tzJPN1PerrHMCI5k7RSGSgxDdQ+LqNgwmTzRGTYcPEgw4PMrwV8I7G T2FKI3/tQDq0E6NP0vo9mr5tAlFpjqkQ1QTtXvzZPg0M6Z6kZ1OvxuAJgK5U w/7TSVfCgTMZCB7t/92av0Pz9w3NX2tyXTZrNjZ+Qb5bciCU5ODKGNctF+q5 K90Fgmo4duuXzKdfMyBUxY0HX0jITXU8MGzOozFBIhyIgDdTHhhUlXGMN03w hoJMVipaQKglIkBDHREeIDRC4AsIXsIxBIOGtl6WD33kPaKxsxEN3zC/TZWm kipxAop8hSURF3GES3QAqkJiqqwmmF1rDVFK6kip5qQkTiAjhwNgiUF7ZvU3 MtNt9bc1SHy0fpBZNFQTeuN7r091gw2YELGB/sxIQVSc1b+H4h4wasrMFta9 t4iGbI0BbIQdTH0+qpKSZCXiA10RAdkZY2p+lhzloxb2HA+sygEnQwqVBdQS WtIkUCQ9gGj/aSssVMGRFhbOhkSSJ0ma7hhNFW9luSzdqagrE6yuqCs7zFl2 nXBjXbfH9xSkYmi2Q2/Gl7L20Isadx+Hb/uErH4LI0yVRstytTD4QObUxJ4N 8+4QoUyUopGz0cgaa3RjMGtHDSukPIXUVFRrbg6TTxVaw3imIIzOTXTmGNCa YW175vnk2qzAUAsnXtQCA2A72QDb7CvFd28tge3D88P24yWwVcs4g3HT4oNP hQc1uWrcSooOt2C0aSnnTCxV1ArsDqby3W2YM7EMlQZ4NS1SZF4tQicy1akK pRU7nyNXIXPIiFSeInaRuHU2X2J9v2VESlw1J0552zQUp1Ek5mDb3hty4xra BEuRc0BOuu9d02rfGEqdEmipkZAXyw57UQJPzMkjeDsVVXw/0yETLwSSIwww HeQA08HzrDVoXLCMSBnKsiGXjJwHc3IIoY65UCc9XBcnTXTdMeeqH8EdWT3A rPdukIJECKjF6L+3wI1Chjmv97O2oFFKXK2MOCRIj8bPDqfHAHbCni8krRom LEsCdJOYzTeF2XzTz8Q2Y8BB0ogcB5KI2wusLgC5F3GgOtxeDtarnPr0e9G3 f/I+kNtlNXOvd/zo8C5f3RM0KGyYBLg42r/6vs6DNWAGE9gactxgBg+yGIFU 6ZCONi0rpG5Zu0qdyZ2VIFaw+kCd62RU6tBbrdP/CB3RYy0ip219mvDHNGkD ZlNsRFFvE+b4bU5z/DZrcgRVY8nB0GLQDG7Til49Xk7LejtYbTC0GLuI2DTa WUQr4tVskyj2sOqwx9CqVNUonkzhtKLXcipW9CBu2uYPxBypFlrPFWUHgwy5 EumiSbT5fPSJgpjNqUAxzwp6LkOtDivcDmyowTR2q2HMaPOgzQMw6S77zCtG 1FDCG7h/rq492ECZZ9WhKU+kGIaXA1u4nwa+URRtPEZMoiZQMJ9E+W6K8ySm zCxOP6thppF6dkzgmtGQ546jAgHCFpAs++4MplEiZqdeCYm0U68W9b0DKbXK +WJL0jKfcVPcqVotmPI5U9AyFvZi+cFClczqffuTmsW7WW+1CRO3xopeVC85 VYmkDg0TMsLkTb265keIXhGOsTew4JBYQkXPpkVAtFyCCfMloFtDGpsLsjbb nIiCLJ+Thb4KA03JG3LjHSzj7UCOpeZwGuYQEyCaZ+IpaVZtSvhQmeAJLbFq 4YzYFowx7U/TYk2ZNDgttoGh8w0MeeBj1wveEPyk+4lVlRhdSK+6eLNwt802 By3dqDHUS1M19Gay1Icx2X4utdJ/HweZFB1VJfkMgyg8DGFug+rR8MPz6VEt jJoWERzNsuS1o/SCkZhxesEJ1h0mnkrSFCYzPzjN4SZBR7YRbFSmngsaEaAX DCDUxF+sZ+fky2YIHRDyGT2nlSCtjlcb6WlQp3wt95J5R7UCor0aiznyRHQW c/iWOZcN3xpCKlBV6JLdlk/Dt4zFuQZmPHih28OcI0mtVmVhdfDu+AlRlljT Y4lWAzzO4Fkn8KxP8/rqlMg38jJqvHhgQkpiTW77RFGTUwWaA4onKHqGCIml TXtPWhXCgZOKj6REjaGF26+T9GjhHDHxmj+dY6Ash4q20LFA378hTYpa4kAG qZAHZkbd1xIaKiIYG7orAA6Nuw2SWgHJvSEKC6ra91myFCmRvwZRihjC7UgN hDwy17GNFm5NL/BRmDUwsSCMi1GbiFFPBeoRGHydZilu2lCw25bo2xyAMFt2 4iXUta31Iyf6dAACxMABA3nudCYlvPWXdwqXrUf/wfcByO6S6UEGiaqML+io NtJRBRgeYHjzaXgBPs3iJrMESINWdCY/BjLkvYQJec2KdWE1aDgSjdeanjhG BCqMDIVigdbrDIz1A0ldwgaWHlRcNg4V4rJp2MSlKVo2hkETtsCqbeWtTlvF qm2LMW78NDXyw8RoB9yaIAQTJ25tVwxozm7W9HbPqHFrpmlrPp7wKtAqFMgn 4XHAya6RoEScbtK218b5rW2qKqowl4MVsQUmKIxWHWIQKMwTEk+GFEigQjjy ZIuKXA8gqsJinjwnRAEoQuUAlQNNcgwatftCVB1nMOEYMGqDnBM0xOHWIUmB hjVg2DDcOoLhViB1Ux1SDFuACVbtaBKccc4mj2hNcDb5JJIh4QoV8GcLu5bj NfN8iAnecQwUCVrIhpAJvWzxylzOXjXOXDj9WiMzW5LylP3sgsH24eTlikV3 GpeQqz/sT+Wer1g0wRdDTYapSlWlANGDPWtLAmARLAcmGn1OY8Un1fIQKxq7 m8yWNOBH+ihHNnyEnGhdHD5az6lCCbtBYmdVv41DVoW4CczFql8B3WgddBWl rlZQN66xnXcUbtcaBLCb1OBnYyFCiMNQrfLGoNcT4uStydzxIsqYS2p2qkhg uP5AFYLloFe+cHO1xFz75cSdChh1C+CZrTPSXIGZZES2VJehRtAcQKt4Re0e hvzVh7V4+lEzH+CNGYM2e3xQMyAHsuRpsvVwCge6UHmwNAiAGWQVzYWqBWRP EjIPvhywIlVYhuoZtXIAa6oAy9mpiQvfzeitGhCvMCMuDk7u+EsKmlMNO/lK rOuBr9lo5SJbp18P4czr2tFvTGz9yPxsfSQjJb02dw26Sslz+td88PkcPp2i FMlbZFXCRfvMIPqcvCU2opuT50CenKilB1kh1DApTCC2BVfPIe5tPKx1QqZc VrDwkEhJubrzbAtf8AOmqOBvQ8Zg4g95lUpeRNCBP7nAkcBE4ZgVAreyStEA 4A35c8DuQ9aD0BCeTkFHqEbQFls4l8ygT2zJyTp0UasNwGsOYleSqnVczVTt 9ndXNcXtSEQux83nctZ3XyFn/febnFXDgEoZiWMfPoRywzDXVho2fzjyaPSH 5WIWhYy8fcrEjLDJp5t4Wk0ieDPmomBJpiTKRhV7gflSIs0oqxhmJ1DQUx37 NPaefZUapvGakVZNpJ15g0da05BC1cOmd7/rYvTZEpo/UOw+lj3HunzddKVY 1TDuGJE8zLvYr+aTUQDoCt0je0tZnYcANiX+EoNtnGHhmbwtDMsscQOBkcIV nYlEBwg9IPSQRzWlKrtregtjuravqHXEdA0i+UvGBtVpJoWHJjkIkn1VSBJj VnMsecDEhhZzgt7yqQwjzafweIGVccLkAJMHRc7USQDiXmDIgSGrQECqTK4c GNJcqxq6tPxAfroxugtbqJ8RptCCnhDplqVZ4MhYQrrFm3BRjEggFTC5AqZa DlMULkCFASko1sI6kiJNyLjG1Q46kIRlIZ6uLyVMcZY4lQs8qXIdM54iU8ZT okm+5olXaA01Pm1o1Qq0XtMAWQ5kOWAl73T2jSIvW5YIi+PAJYT9IOSMT30s O5DRhKjq1L9FacUtcsRb7hfj/o7FKmFG0RKTMH27Wzj1L0MJIDlwhCK8Klgk SSnyBUUdeAvhyAabE0ldGUlOSVpNkoQnkpQRJUdIPJGmdRxnXo9Rr/UcZ96g cwCpdVQ8D6FjGcRbtXCLTvmjsFHevCVzVLTtk4WipSROzxQSuZ0cUd6Fikik 1TfSOsvwANXN0bsDpnUE9rzqHZaviqxeDFH25MMJrljQ5bLKHkOo7bhiTUKg 9aZ4vC+q886kdnW4HuF9UUfuil/EWI0JXC9sZR9spSrdA3jTCCa9pc6NDUMw k3SUw7wdMQNU4UTN8PE5aoeaIYevjtr0WDAqEdeomMx85RQm+U1zZuz081od RBil8p4zL8ZvQUJZGTwRfWUVbEZfCTi1PFKNbFLzJDzodOHsm4348PcTWDop +9GvHwyiZc/9TPZclD6fk7poX+E4/XykLmmtJ/WWgwWpSzEP/lYMjgmccd2s 9lCE8oncbzmK+ivSfCkUKleyOKmGc9URzQdXs7y/mqWYBlarwJR6p1zWYgGG o9GRT6KJxxFNAjezpL+Z0wgtCUxhwBJV2FHxndtjYHbuDj5ovcXmvhuuroxW T1JJLCfi7jVhRbWlMKoVLbYsCPu10KIRzer5eLJZvTyIbPAQhsSoscIspuca saTWBsMitHLYw3doRghuO+u5lcNmInvEBJbw3hMKbh24hV29nzZV4wGF2INd zQn1QjIfZPFyGOWWEdb4Rx4rMkJjF1khyphHOY0qQqvflQ8TWPBiEgXMKcyc asD1hRBNKkqZqLIcfyniIqRqvGLE1gpiXw1RTlFteS34pKOR1LNvhXDuLT3t /zmJ6fy/4/j/C6lx8khVx7IXpVWcFrWosHqQ6gGo/BOI3lJgCvlcytro0kOa EDLaDFOfY4qhBc7Vyk3pcgworOBcrRU2V4u8dlt+WMtxBaw2prCmN54XITUG iRVPtG5AK6cMK+FssHkjG4fDe+b2aOLWqcRum4jjDZBZk1pvOjsdP1Es2kRu tTpaDc0ndOCBgSGHvSfjKdorGeZeDtAB4gUFxGc0MARhEGMIghNIMogTwlDi i4UKH9LEs6I8V+t4bkf9tCOtGhtt8+E7om3uRM7ZdS2OU5hvNiGuJaZ7bN5W L9cJuAHTGKx4MAlzJdI9ZFOHE91w0I8W7tkgh0hjWonQHbU3WubxOO9+AkVU YdsnKXZAu+JzuBVsudwzL6lTPq4ThOvYdkDbg2lvaWe0xU3hzJsBTGsUVP9F gvrn54c6v6ls7r/K1of/eNYNpIknpq3eiF1kE08W778RscgmIaiHGBX1v02A lv6XYRMsl+HGF4V22eEM2k6F1oHZqLLdpBYqy+leEVdDNhK7xqZ7kdh+I/bm eYndWFCrPngTfLCiunmsHtWtR60JJFR9jmrFm77uUF1lcPtdXL5t10yWyB4P cUijuQCWoSOGe2dzcvcpuRwszKiF/DK5jbJ7gMlta1pvE6b5YExu5TnDtUCW WS4Wf7uq+ttxu4Zey8Nc2jAT4IryWgtd1xOvofuuOAJyBOltzz1xNJHQSorb qymubNDHGpHxyhggtw+iUyWzD6mZZliF1rh1AFb2jriOqB7HXw3CvJSjKBON 80bOcUlrJzS1rRRSLP+cek4HPKDJBNfRN9+skvyiVmVzak9Ecl8JCVob+zBF rhT4Ss96+g2tGDHqCZY3PPeZRvb+bUI6rtxegvQvlED7T7PnbFBexxyrDcQu 4oxM4/ZAcsPy3BJ1wQDYJrfcgqWslsIF30oXHGG9zVywNoxlrLwuK2hlqCNW Ylda0bUg1ufEqsA60GrfQFhFyMbrOFEzAxYJLBfjyaEFsHpxhVg8iq5u1oDW jlFrDdwI79Y4g2yuzG43mZV3Sfge09CvvIvzYIxdButQzfTKGb/RK+89FTtU SK2FI7XC8FlV2/1JbReGA+dVbRnKrTKsUusAr41eIt9loMQLgH0OMPLetCAz HLRhXKhtV0Guqe1NdWqL6L13HoC9aS2X4Rl4SJk1bp1lwI8kRy2wDsepmzH5 fcJCC1MVcitXK1faDF+KLQpVz2ZJcA4w5syY8iZrXTCMgUxkvydeidcDftrC Ed9amH2tqFCd0gwYVSoWqDKO5TkhWZ4Tiust/58kiMt+Zve9Qrw3g5iyS4bt Y6N+y0DNdgkf6ug1gj01Vxhuo02O4UFwzGrFHoNd4xdZbSeXRgXDXUXMYdgD XQdyPcmtktpIL5PZdQOa0RJZB1odULVvCEO8iWZ4E2d8EtixFB6kOmBq2yOL NZ3ldM/tU6w5aUwHG0jZyekCu2yO5y7e/bYbiWwzJqmpEaac0gSfjkRDTpvC vjOFCU5YYgizgcoL81PpAaPTAZd2JK8dqDgdviPOaD98Z5HBdl5jBuvAoCOA noMswO8IRzR7LHO1i8X68P0WnCPQz/JTv6glnC4ITBRipsBQGmupa6FQTqjm 45rFRpsrmxqHNtSSNLQpQciwuxaikjow6Av9rIZjLxp7L5E9YicHOf4KDW84 YdSRwFfV9jKLle9pyGmodMonEejktbNvpS/CgIC6cP6z+OTnP1fUjv8gEVj2 I9E5gWxaP1vCHZGrEjkfhRO4QTwxUWcJpgbckqYGFP52aZvppZjc9kIvb+tg 1Ug7sWWoGS3HglkrUMtdmaaxIf00faQuru7VShEAo0A66qK2BqhijEIZF4b1 Q6qMjGFVx402R2cTbmK4MW9bbXLOtknOHkC5aLvaWYUt6qJv5I23K+xmArpb dLA5BriDIC4Ie2ZT0TcxuK/g8AxOXOQvYxAIOhAoLzcyePCinVeoYi0culyn ioUoqhY2hQ7VQQ2bL0pF7DQYIYt3qZntJofJzDaFnntD0sFemwrXh0pwHxfF opd9MEQkHXiUAww+XCBoU1uGH41X3RysJpyYJ5eJ4hjmF6gmHs30cLxAMWpi RQdsqIdTc0ytA5MGglGZq2FNmXxVA4eaZWVp9rVYEAaXxqaqYY1KmON4Nrna pnDuswFgagiaFxRP/uQiS8a/8/60kf3Wx3Vv7cE4rNmSwtHamjweCDFIKiq/ poq3HNLQC5FgXTgfrCqOyD6Xs260vKtOFx3hbQorbXkgAzisUmvrQDASUWVY o98orjZSbDq5fkjFEiY3w3fTSIRkE+albuYku81HC1e7Zdz4reb8zkfvDqPX mUjustk9uxXhE7GGJOgyKJ0Cr5yqHN2I7z6btroPo6wtuPFoP/NPZqLnGchG cevRQc4COmiz7kCrEYs0VFm9wooRQg2sA7NWAwaxUUVJrqpoRcmt5uQixNNy NSF62cgu6ka96fdETU4RDuDG23AB7dAjRVjBiL80N2wzvZOGKrNUUBPOo7jn aBwVognOS+AshWc1eB2nYrloQZh+oTCtxyzxNFQVU9k/V88T8KsnX40TFgis elYPSuXDn36jHs4zmWU9K5YVtlUgNf2sJUgZn9em9ltJR3///dH6ibyGZNMP qKf83gWoiyKorWphHTi1sZiMVIIqT9O/tqdwABW5p3lY4qr5J3xsVyoZrdBy kZnXlWlBPFCak6pOdgEQ1Rx0QCNxOmgqS0glUYoSW8Ipk9BNY5aAOpAq72qc MraSVzrabcbrdtXbubAeM2vbFHaK1O6KYdknz+puGNxm3B+4x3JOBzpVU1Ue 9p0tdLWFizoopPvPG6QsD7Wystt6UYWVcSl2PYdgbtu0TFRAGtq1VCSH6sBq X4c537zzWgLU4Kw1whm6Wcc9Apvbc2+cChGltVetbiWuB4EJD8KknPfBjMoh TStJZHS1+mFHjUcsB/YpelpqKIPTygVOlIeeUUs7wRsvJjnLPAopRfV5w3Rh gemLhulLhunLQbX0OIpCGZwnBcpZC36mU6+r55QredqSScZbWhgSMlVBa4WC fi4pqOwvaMpHvvj5wuz+SoL0j34gkHozvYv2z7Esi5lkosYLOTVJdaAUzNp0 BiSbS9vlE92KeXm3YYxU4LQWyPJQV4gyKscUNoU40nmkiFU9IRKqNvj9oelB pAOO6nYt41SnK39txuDoFiyvtxX3D26bjJsgqdzOOQw7uFTRjmNF7cfIQ/0n GVwqpvx/N9SxmetLNIs67olxag6JVVKI/YxCpynmfgqkUUgGHRiUdhIJRByy CX2HriiH9LUYa7FaLaxtQrAWDl/TLDOi2MUhlS7cDdXNGz2EP9CncS8VUhNV +Sx9NmG2n2Mn/WZmiaADgRhKMf6GOKdhGLcLjnC9r1GbIjvKmg41cQw3Ch7F ZKNxTpLNsAsTJouTz2kyaa0Fo6QMxa7CVi4YRuwQdaqo/tUBO/Guhpq34s3p gjVTwlquhBE4KOLnZE8j7QsFBb+YSPvT90faz+UJplKmJVlS5iCDTfpJb+H0 cqC0tC12Y0uhdAITVo3tUHPKsKrNss7oZpcjmVyBKXYqcSt76kAiR5ZFrsFo yFre+r7WJhkIQYW0VcP64ULaNowoTFjXEqpms17fK09cloglmh3MFiNMO6Px VL+pBZLoNxmKkQNH8pFyz7n3TFK2qGpk6lwoNM1R0LzmihcZ8kEOcprQQbOd AhJ3RKLYdlWLNhC3ep5CB8c7VNcyqOS5zrSEJbStS7WtyRxkz31z1UwzRc8M MeJFcXMFWdWcLKhbBlc1hyuhJW/WoG/EzAEzOXyEbIL3u08+F0c/RNsQShZz REfP6aOkga+K/oh9NWcMiHlrd6d0Bno49UaslC4oYKsXNyvZwHhWG9VNxa0W LghywO7iFzUqsUTDD/nv3x96P9+IHifv1aEXk0aRtcUHGbShdoPiUk7Mo+Ps YFTUdi6oA9AgVG3rjrpWCyuO1OuaIInyaVoLU4jU6MvIdCDTAUzZap3hiYFK ZobrWUE1LBEVZbOa2NwUl+lTz7l5vPCcWybMcy4IWyU33BbDZgFtV79ZUVKr OakIVb5a2AXFU9VjaDNoZl3VZI/IUvZQaz2jCeI+DlPu4zBly7lErNLqQasH pMpotZFRB0ChdWY4jVHNDZuAqOaG10KB6PV4GbuxBvMR5H09vIsxEtnLG6/q iRzgrVZauBl4mKVU+s4bqF41jDyhieDok3YBxiwPdDScOhIJ3Run1ZxA6VRY VFnzlDnK3ot49RjXnjj2krpM4DhjDlM2Pa45oO3I95pFYebUG3aHNN0lIDxd DyGU7zNx2MJUT6unxM+BPgfsoH1vh3Dpbb28H0sA/kUJgB/IAGSl5hfmw47Z nyd2tbDIVoIx7Jj8CXtcHJPpX5tFOy2lugKQZ/JXR2BX1Mvl3THnA30rjljO 5wCfslcLq3pDwZ8WZmSfedkbKtjzRM4z1QNwGznGuIkyuMnm8GzmZNnNLMUY dQyKo3CHtWKMum0qkIbQDkzi2cmbh3ce1/wOrBlvSPJOxp4D2mj66M1n1rN2 1lhzRMzWaBJ7ybiguKnFrIZWs5cg7iBSPEFOnj5ks/DahLQ2kNZuuC0wfRO+ kuxhw27Ok70ha95Ez2Az4DhiMYjB/SGOEg49pknd8ONM6hzwcnSUVZZGsTfy urGnFDJIoJVGjTHKXaRr8vlC7hxYA3F27/wxllnwWM1pA2zeyo3Qveg5T76u 9lKa4qxgdsoillwMOQxbvBW85XQsspz7XKF45z/PQkuFyMmRLnyxkLxI3qV3 tGVwhU2WTf8sIdZ0Aw4zIaw0Eqkl04ppIEcRNbfLaVyMkf8l/KHEJW1zYNRc j79FIKK40BrEclBXkEcjWoDnwF1Uvr5EXgN4LqwbilvBhTJGFDwP3ubgNm64 eVDmQZgHWBgqtKUxdxwzUXONeB2fi1e0nsTsVIaXA11yVOOrUDI82uS4/czc yNYBZQvO81KIjLkE2EKDPhMueEwsWtGJAcEuzmbttpmslqk5gOUBlgdPPhUt o2CRKROsAicHmjDPreApqlWFTKmJ1N3NRFaoWlXzfnSPzzFFA0qOHN0Upl7Q 9AwkMV5KREWSKhGhKFpA6URK03D4BaApcRRZOv1m7NLPvBWH/+AhGZ+N5Uth yob/QNT5RJTPiZLnhCkHoOSFS18qyic/Wi9sRGvB/Gj9fANa+OsXS9DSKqcv KpycHtcA2aEIGYcLI1wRsKVxuBCm86Zw6+FC9BidhfBF27lQrYBStjpqXF/0 l5xMs2YgVU8qdbytt+lvwhrCUeiqYcNoErqwcUzhc2DPvjHs5WaOGtbB55j3 +Uhf2MHKyU7OnGnQNm/lE/rHZruLWP3jntMZeT7JmQNudnABzgqXwlu8DRvK Zaql57Cdq8NYKheRm0tbV1GX1FMZaXP1tGHQ/aFiwH3AhvdSAlcLg48WCZwp Gcxig46NQr9UwxCWhmnONv5siNRZzlYtROwFhqNX9KTu2EvRRegpmHmF+kXq jqMieYKz0068xtwNGlZREdMl1zP4HMiTTc/YcPuZzDYad6SO7DkiVwvnJWND 5gboLuTQyfEvvqNSBu4kyNjNibv/iH/xU5ctCvAu3OmPKFgBc3+IoUmdjwML hM4BONvdsKsod9VG7pypGjYFc7dyVsxtvBcrZ24ZxheWp9+Vi4q3AoWWlSxb ruwtakc3azNMuNXCuuE63CyT2zAaMzlhjZFwq4ZNippiBy+5haMHW8RLbtWQ I2yd4p168JbTGhDB7baw4I6Yye3EpJhd+EFTiF4t7DY/yTgVm9IeruNpBReN s/qb8B6CBnm7bLbxCsMDPQfu7BQKeITPATqXqIuFk05zj11xtK77nrgn6pFH uD5nVDstndRCnw2wA8H+5B8HHo57YnhgkIN1gxxkjwwORQahhE+oAo48qfma kJisIkXw6TRKwOH1RGOhg6CSSqhe8oXiajs7fcdsvugMiygzr8RhPGNSVfAE 570YkxRCxhux7uLDqTdTLpfEEIeNQlgvhmIzP29i+IUQuYQofjEokD4BmT6r C5e/3IiXT4T+ZS5wn9SfC7/p/bH6y/khlNNKBHVR67uA2hZB9WFJewJV/lra EdEzSsGoA6LyYgZpJVK63MbojVKzpSt71ZbKA2exrbY546v7bah+DW+VpGLa Tyb8S+thaQHPaURR8jSAtuKMOL8Dl8J8qDigIkJy6PZCq9pswb92/MxABx4i K6pQC+oUqtuq9qSFczJ7+DvZPfenhCv0PhDnivU9GIscxo2WN6BVNkEMmjWY ChtDXDR66HF1jMZLRCQTrUqsbhCbVN0Y5xTriMtExAXrzTyfSIn1jqhgyMI4 2H3slUQOwgEX1D1eNfvIW4dPcnZKAzVOJQwfsxZOv6WVjzNmG7XBCy+mXUKK ByKkA5bxbU2+BJAIBgVL6bj8lRCufCXY5Zd3WJwrkIBhcPyPsnHA2HBAwxsR i+3G+3cnwpMEo0L+ug1TV5Zxdahl3TSJGml1qBUqVT2BciVRIRMeODhQYF8P ttHCszyyIKwVw7gOMayx3ka+13PEbQNmqWzExLJ68do8YdZqC5ziViyctg1z UUShMOBmM8l2iD2ETdzJvGwXf7pgl5UbIVUmV/JaM5KzPWmRwaRTqlWxBrIP q2WU8NnKux9akZe1Ii8TLjE5RezjoRiKJsqP/GnT9gJR9ZIxbSuTtK4oabXQ rXIGULm/1kZ6oGq9KIn0IYcDlQtD/8NqKRmqZeTSGFU0PdG0koRKhYOaOUiZ I5hNYUxVTMOmbY5jztg4ao8Tz6Wf6KCh1BwO1RHM2SxANAiVh+O8lz8DMVpK APk6Pr6BWNRGony9FfRTnkFF5Oxn43U4+7nkJw1HJHTmIy+8XSSQF7+UPGS4 9GXDspqwNDSXpDzOAcgG2G7kMbnjr+REHgiFTkmrX3Qw5CWSyCSJdCASv3cM Jjs0kMYtNYVS5G7tVJ1SMJvmgLkirh2lXpLJ3EqRpVUx+svJHIz1k7W8XzhD U461Pv1MMRI6BozlRt4csfFoYDUlhbLqAKudBpjMLRzXi8g6IrsgbJ9hdkdk saVhS2gdoK34HFvN8RRZnyOL4QIWVDJdrRTQaj3FFu+4lMjFfUtRTB1gxRoA pqSI9jsTrg6svl9UDdcMVVVScaHmPkGrEQsXil/vEUiruqTgMHK9SCVuenjK dPPpEOGEfmrC90zhIG3GxSTH5iZfCAnQKQzRCZ9yLGR8cJgMRRQu89PxQtNl vpq5TJ9cJkD1ppZvIuF7Czud/kxR46RGCpl2LFhKBrQShNZIaC7jF6iZUM5a QeqXNQCqA6hyOKL6VQ3Zj6sIWOcdNTSazB9+70JaKcOWhnIR5pUtwh39i9Mv 26GgCfFcgjkqt2COiiCKKdsA1cby8H8kfLd1GakLClKPFKSu6ElSqqRCRvtS OOAKXyl+cvWABrdew9uY4CmhozHWcSmOdZi9sp4D7uttsF1oZWzklLKNRzUp dEBVtorCauLaQCrO4DHNAbezDLOdNdD3Ciw1FncnShq4J8aZiMVe/LBDlFdH eW3iHBbaXyt+GrSZyPpcZCsk1wNYB1JtLkDHtWI47/D1oDa4E7NXujh7pcs8 MHg1ZuVIR+6LY2DwwYwH1Af3ivft42yWPkxk6Ue1RniNJc4hm9MJXR1CoSbC izv/P8UUkfyOJt87Rt97dC63E6zWTDzPWin5nUS1ZurFOOoAvzud/K4vZPbT kWE1u+Q4Fm6ccXvyjSSwmh0qwJ4298xnGSl5PGvkahsVfm288AJLMwIts0EA K+FBK42uB5+y2dWvFrXS/5QE0pco683vz/X+Su6dW0MMD1QxNngoxASQoR8/ 8urBK5U05oBdBBXhgakDn/KOy3tuQGi/EuoBpn1CIZN0VkGkf08wwt+ablo4 q9CkqTACI2sz8xLpAaRtDBx3Zjjumm3EcWGB4xmNvTYFe6+OTDR4Xk/5rBU0 SiLKuMJJMVc44J5Z3sgj5PROldH2a3S73J0iehhrayceq408Koo+HDEM9Rr0 8JYlQ5EiylARrdpwwIBlooOPaWRoVsilvNvwk1q9AZojsLzCpY4QNxHJo5J6 jltg3wlMLptAwWYSqwUnIa2G6UxEj2HIbwb34h9/NcpSNLknXo9105NvxMG/ 2TfV4DLeUpN7mpNcznDI74yYWxhcYAgyzn0hxE7iPFPO82/T5JJHBx4dQKzW g+jC1a81AvQXGVQmmqWO932IKP761fywrUlEoZ+LMFixuC12zxTQDg263cOm o7WwtFN1NGkp6zCqpBynWHakUNHIqNDJjZl+CpySRwueoDOsGtCggiqeiiqd 7loWVNcOF6noOi2qwvdqMjqWwJW/BNjquzLq1N9uw3A8+BSTe1wN7o4TGjtt 8mcppKcipAvmQno2QVohoagjnQ8cPmRcMA1dEPZfLDT0gA0gtl6OGLWqhl4J pPYgf3HvEIbn2zjSkTPbfk2tr31JKOlh3u3bybU1Ou82A3xPiATLa4nfBYnf HpsQ2pNJqY1Y9MP1DiA1HeRPLA+qhDKwC6pHGa9V1ZAx3BxxlGsQ57COa71I oeVqGkk8q2HqJRPPlxlUTlcAK48Gq56mExiqB63VRKsR64CrI6tVFc2CVMse 1Racsymg8LvnMYh4gQ/vyDtGxZStLomrvRwDwEI+a+HK1wLQZdz+df1Uf5Er X+F4+aY/+j8I68EyWJfYcH0prAvrYL3V1sWhlorTpZQuUyk1VJezYgQptcU4 VEpRN+IAY8arPCe0ynOU1KF4UcBrUz2vBbNE1pFUPUVIThkY4N/EkcZNE8nu VpTfKtklwzrqQYGlrjrAK02sFF+xubt4o/4uZqaGL+F1gNeDWk1M7R4KJKbn Q4RWtmrhj71gGBLEGrUOyNLuovx7Rd8t+V5NVGvhkCWpoNWIxVgleb2e89rJ m4M7se5qFyYBdHPd1W7LTwHoEWSnPQ+kAm0mqpWCT3nPAZNUIGqYothbrHIz ktncURA6xl+XHXtGS0gmrVrgrSZYJ563vGaSE7UnX7R09SWGB6susSofY+ZV TU6BqyGruNpVh8e18ECWuMprpz5DfQ2n1ebG0tDZLzA31cBARzGSYwILy2vi ilLSl4vkVNCNuenlrxa5qaCrslsNV7+u9N7+V/yS/1O9D+a/Pvj+wP21vA84 GGI4YIujtiXna0Ulnwi+hQOSyi/v1Y/cxiC/ym6lDN7og1fYUEfKVFfCB6/C NJzVtL+rh5RaI9cBWUtO1xmoMMVmhjfYdJyNnBqwcTwWfQGrASuCy9lvW1Rn ySp22cY5p9s4O3zbDD1x9MWYHb4Dw5Q7qLE7bSW6BK2j3Aq5IrLNGvLCHs4M 33NWBXfvOQ3tffbBEbfAEe83TuUcHoh2WC1xaLWpbweZnB7kGsm0xXeESK0D sqQVi9cJpB0Wh23BZDrjTjrjznsKfe261wD2CWBtrCo3UWV71R07UEyA5Qv1 iyWGNQbDxnElzjUftilxZofDCDPUUc6LG7VqExg2jlF14ghNVNxxjtBMsOA0 YWOZoHgSPlkQRpH45aS7FcKM5TY+zaRVI2M68azyq833pMqvvIBHkeS31DQD aokI8xnzywwUnJi1ql2Oi6drtekCq00XvmQJ7JdDBBsDN1+JxWFQbWQ7YI20 FpqsVMumwjXf+98lsGmk+dyH3h/Yv54rMqDmTINFnEaXqG7XiLp8Cwdu5iO6 u4RoJrbORHiF5bJaf9CMdgCHWTWobpkRWR5OKsxfpo7Ka1EGtYGtUFN8PTh2 wNiBYZNGZLSMnF55i+0nCuHdgRsUd6al6GCZd1Frd/MWj0Sx2mUHhKWF5xDv s4l2++CUW3ivYsvFQnv3X9JBVwekke9mQBvU0GBkt4eMYdjla8kqA2XKr6NL 1s8Jj9xJX0z5FYTjvUjU3gfUHDMeVHOMverwrWmzGsSvFA6hsCTA4kbiT2XY NqpurVDdZ1NCi7HVlMpOcO7BpM1jnWRFqQHWVyKs1QLWVxkOpKroNoUTUXDf 1MDxqLuzqrv1a284CLADqQ6Yos5UqK/mtk7dsvZqqDMBU0PVgdOKj/JLVh0Y RX1YtTdaZwdOZVPTXmu8d3wDz93xzaI4xWV3fGI3S4yxR9ky7TnF3Jrsxtvf FhWgQoLTbAPBVKPTcG0KS7vqcb2t2/QS2lsLy3qS9oblvcxzocGccm41KPtW id1awe5QYhdF47R8zlrltkIpBsejgeUpgLseIzsbKMMbxmmc7fgbIcHCb+VH wqbJAIg1RIohyVumVZK32mShDGbfoMQLqMQ7ZzV22WxZQdmy392wzs1GsAe4 lugauprotnBEJ2K7n3MlDqBC3IoRnVYmtQftN7QPcUrRIY7BHjK/DGwNXfhm gsucVsgNh8GszZ7tvCelqt2cItF9f7LNEV/UpjAG2/tQWmOiP9PaAVSEhV7c fizZ7FCMJzWzHTbZJcvvRXp9ohg/BveCVYkhuC/pUWidqbTTHImdfsUqVJ9m uEQwJhW9rtWpE9Exn0yrNc++Fa8+H05h7FXYxT1an9Okl1HILUtUTl30+bfj rAgC/E4sK1cV5EJvKbceBHsqbI3qmnUY4BdK+41AbBtU848aUmL7f5xHFZ/C Rh8uIVl/8aTuPsv40m/menwo6XFbWuXhFlvow5gm0g5IQ4cN6Aj1bTaFaBmn tS+DBC/vtWyYMrwi5cFaIluZ1a6MaA+c5X1XD6sYI9aORGF6fzDDYcNdT4bI swPMDiTLJ4gsb4s8K8uqyz7X5QqpdoAZ83NPUZW5z25MgN+NGbjNnPveLFK8 RwMDtufwVfZaPrzPFsRq4XTcFrjr/VySZ7+I8IEYV2LRuRXrYx28PdqHaK0N bnmvNiTC7RypbRegOywEbGO5iy66Sxx0twYKV/fHmvMRddJ225BnOow36ufU QGHbA2z8xsLjRTo8WHCtEl1LaI/osq8E2wFsLWFFtDESxLyYYz/jz2tODLIn UL4StLFynebDCniy0tMoOtcz7ZXpNxioOL8Z4sJ5s4Vj1uBoz2neU3m6nmcH oOVYJsxRnN8OTIaBtk2F1zkkF+eAHAm8atlvolhOm2gwFTjGnd/isf4wmWj5 PBnMSZr52kfeH8a6kJeNEosyp6A6L8a0XZFo1e6bC0EuZ5eKvKxX6aV/pm22 wzfwihoW7v1aTbtMYkcSsZYIr0PFaj0rVuvNMBuriql+l42Kquy0CVOfIqgO jDrAaduh1rydy/Bs5zI85ps1ZudQaqRSc/F7x2fUPjMirOqdAex5rvhssCZg RYFbTIEdaJXDR1aNV+KqmbBAa6hqR3QI8xTbMJNeWI2DqYfvoWMOnTo/kZRG a3XkQfXJPRyL7TWXLDv12URE6G4/qskDnIPYwCerVXKxcuk1RuVwI0/F8wjp HeX8ijHWmMeeLXz00ecs61VMK+qkJfN9sRDhScyCmno56hL018IBViS/r5qX tiJWJsP6GTCxV2idjZGmIFKGT3EKFCpZhi1GjdRMmxSfjVJc8bH+TE3WzLda l/lWYsm6psXor2aJbxw8imb66l814BxF+U7jWEIdw+/n+mmjTL4e5R/7x6Bc bUSZFMumizvSqJKWuaLvFm2+RZgWtmPJIyGtOFOLhem+WNxa0a/mmrZ65UAd 4IW9rijbTYntGMa4fxe8vakwDhtVeNOUqrDsuHlaTfUW3n7WgPm2HHNPV70Q fKurPhUKwCUh3n06Qq4qbHA3U4X3cKIUE+TzDPlrH6vSLfbz42avybYH0uqu F4RWcddw2CA6oxpMqwBHnim+d2uIANuPz3ZzEefuB1RsGbDQPRwZ6nkoAO7Q +3DQLLiPSxv020zGfjXWDnjL01F8TYAd8JaPkAEufynco/Y7RaPPRLirBdzP MRzIfleom8KUAZ3gjsb6GAeSEtivR5h9OGHJ8UneEjOL2ztnPxMbgOCsgaT4 NG9Ly6S4Qi32ua8+/06IiTGIjmmxHg0M22Qs400ophCzXqUiXG0U4SrJ9eHa XxeZ8e8mQS6YLepbZT+vZPR+JGXG7/77m5/M+4hclKVBJ5wPa0SbTaQxHryU S3Qt7U5qLbsK2Av0bVegJL0yTc0AtquiJstzmYnGKBO0eO1oPINw0euig16P yVIbjFhR5cmE7RSRVTneDDnewjo0jPPWGQb61eNxe7hmi1iUTtBydsZOOOZd aXaj6bFaZ7IaVXjvhUKF90GBC1hNhX2uwhWT4NbbY1pswKoE28+qajs9bMrb yRlRIr2WjyDtTaHEOiAru1CQH2JAlCOvYptVjE24IrEeoHqzyWRz+Cm1yCOZ PR61qVFjSirsscCJCRrPq/aOv2AWOVaaUcJqCpMvM/clolOGJt9+mjOjmAK/ GnMmPC7I7XKOKctXpFT1ViVAEKXmMj5vuuut2PxFXOpzb5vavsMgnhWfl5nh l79iNesm4hOrVoyvB2VVpFYOR7H9RgqfWCWqJOu3S5S2sZSlz8lfPzE/tT/e QKhet7nUlv2q4CdzbW4nyWquF7NEnYEMbU6/emS6jLy5m/eqguQj6rkZPeq5 Kda5UN+kV7UBZpa18LggrBGG11o0MF0poKbL9oTa51BXSDSE+BhFOArxDLNj 0d9tWRjclgnvUI+dSfFOJMHK9S5heneaAdnMWcvN59Rn7zlf+Oy9Gd2R8Ja0 mN5+VLoAdlM4YNVpyHGU5IrdZBLHZduuB6bBFg5SLM25Q1AH7ofvNeTvi8jX QpfOuspxV/vtgDkpl0/ZK64bzhugR9j7H0vAz1HnQVNnBb+Wgx9GzHMTfbsY kOYxji4d5cJDGfvw3ZH6aiP1HrTHb3/sNVXjmdepyJIk02NntCNJxoyOWS5A OxvFWAWZH+Q0hfnz/E0VEeUzX0gmO5z9oo0bn0PN+jzN9fkvza1Zx7z2kk2L NIdtt19cobm+Iqxf1UDd+hvyHYR2T2WuhTtFmaHO176tcf3b5rR/K2lsMao8 N4OOPztfAj7r2Txfjb/r8q5dAJ/653nnk6reizHTcglWq74lzbREbg21XoqF xm7Fuiq3cUJINOH6XmrCl/erCWcMmAkXPVcVp5J/wLpvQn3UYlwN9gZJmDV9 VrneaFJNwqfDHLhnItwLC7hPaGy3CR/bNY8m3x5YE2kHouVIYHr32cQ1bbUx Hbm+YOaaPGO7mxKomEFp9SsGqldtadoV8G3jtKt2Diu1350MtTx3GMNKnVwC UwBmSavLdFpPaLeiqw6bkk2G5cz1PKwWGxjnKPfzLr5+3io0YPOwBjjZgwAP 0l4jhx4ye+1AsgfCjvQ2hVGQa0GSo7k+CnM9jrLWBKc001m/HOvVwm7C1uYw A99jGGyaYb3aKAbECAeGia8c6+RnNFGeZVnrFIaZTn0u1rYqVk0+g9rWmS/E gaezqbYl/GL56XdMub8UCoy/nAaYL2LI6asapFc1/LLpdrwHwkAWDf9GKLJk bxY7AzlmxNe/o8eqGwTOpbwRaouy30/8Aaj5b2dqDh9u4ajftbCkU614zKy1 1UeuPbh2QNqOIEgT6OXIpiPNDjDLXqtsQuaqmE87deNr6Map4GMpfs/eat8l lcOWzPBWtBhZ3NSGMVyo4h1FknrwTvO8+NlrGwJqs0kXhpmq5N2mktVGlXSU yaY6zrpt4kXyxNVw5CHzxA8zPPhygEu5qoX+xzkwlPga5K8oDEIbhzAleZj5 6vDTKowjLEaN4v670Wdj0gqmxp4zeytcwRy/oMZ4/EU1xhMvMW+tFhZ4QZh+ VS0w47UCshnOu5gxhSRYsvWJt9QMMwq+rAJ1Cutdnv58PP3QxTOESbDyJMrn RFUSRjDCX7EARpdQNb78teiywRIYQugUFwFJXqMJzgrHd7DYJFQ5QBVLzhTI 7wRApWjJO17/bgh3fTd1A3oPQfm9Q2WjwD89P2c/ltTXZdSkrcp/K63Ositc UE3OqqRP7gwFZeqRVUMxq3IpB4dhk2/tUYvMoDUupc6DOqqnI2f6veGaV49o mHMe5d259cxRYLH9ei5Oth6meYNlwg7KirEk6Ou0Bi/BZlSstmD0dytGf7ex HL1NJHS7BU8XrHIt7ChsMmMXJ2LtwrItu5NBxgdoZn1qjz6KkMIk7+XSnPs4 HBx7hWJSVC3svxLokRnqkZEOY6Xbg6g+q9ampTjb31sH4MC+nKpIf+oBoLCW CnuA7wC+/LPXHHLfY1Fasy7gCQ1te4Oc3DH4KVXXIXHGcMnWEbgw8kzMjiGx o5yINcbEeMxujodJzvqB9PO/WVI8hVqVJsTTRU8gb37stdgoobMzvGPhOO9Y OP6m2mVGfX+AehbmU8bOQOVVzyfklfG2OmTc/fdOIcYIq2FBY6U7QKb81aSx Fe0UPDsEdgwsO1/5qxBHk6/G1PibDMcuQWzzX9e9iUOf4NEpyLGuo2v4LkNe kE5Bnrvre2l7XZWpoepV8bnyqu2Ov1E6X59gmOX/vR8N/p1cg6VLsPDoFzw6 BXltqU3xkh4B4dEhOPYEVVrqZX0a6qxNflHjFtFdGWPIeoVqWGUry1iv4NEh VNEHuLAuLdsEj72eC6fV9wIL6noB6wlosTfTXm/B+PFWVsO2nij89TZ46u1c SWa7TQZBh2CdAqpimBCyCxNCdvOnvXdLb9Bswe+1B3cP7qG9th6h6AFcaEGu LL2AncnYDxzAPK5WzOM6yHlcB6/Rd2tctz6hRkPAfuHuEH23vGMHPPdhLPAU +wJPm11lB8COQDsBhz4A62qYw0Y3YF2BHKYPFbF+VMQGeF/SgE3EBPyDMAFD T8Usmfw/Y8GZXIr+6HPJB6BM9nzMkusaKtbMfknNwMTLarcntSdw6AoqTJfZ E0yzfn2M68oc0x5AewN12+gNOD0k6wWQPGMC5my029IRfJ61sXCaY1BneM/v GesI2Cm8HcwbKFmZ35a/LrCQfaFwB8khYHxKjDbM9uWvh2gSKhHQK9INXNWo WFotPQJKaN8qOgPpGMSAfxtPR5tgQY/AnkCOdff3i3P4c/X9QYMz4F9lP45s XcFH6+3BvKXw382eM9RljyWcJrakS10AQzNoPWBk3oN5B9TlCMttdvZy/hDi Co5erShgZ6jbXpUmhZH40egBqmFNpv9rsUY3+G8i+9gc+TVjMqAD8OgAPJiX bTaBeJs3IuSD+7DluLFfK9g/GaIhwEBW+qXSOvBRSJPMeleMs9YLNNX1As02 O0z6ALt5fh9GrFo4jbNFDABMwP6rGkrFAdzw1MobnlrvZF6gATcgXYB0Zoeu h5QSxLTAegLtAaxYDltwmMXyTt6z2Hm/JgZdXLFbe4XuB0OyBnz7G/QKlZtD nxiD/hhmENA/DOZ9xFPaRzh0D/I21jlEZ+DQO6g9aOgPqjQIeA6JwjjqaNI5 yKYT1jVMcq3gKdwbNY15JUzAj3G2J42BrVfKJFxNgUN/wBS8cAOY/Fl0BegI HNODauoJkjyf07pZlnifR93sAupmFzgdO+sM0Bc4dAUO/QDulcrSBfQCyuVV hf+bIU395tOxB6gCeg/oqyXQFz8bFXOWPPOOQ2CfmJ/7sgHs38tsweLOwuUv YQX8Fi62E/leakPUS3nfxa1c+PvWXtp8jT4DXotlBH4gqNFfAaO/kvdKrRRJ XxXDltlZPRrm4Tzq/DrVeDsTG1hJM9ap9VR8p6W0Tfx1GdN5Ht+IV+u/lb9t mhEvfyntO0zud56OtNcK2s9q7OYw9e5zMQ2oT/CrTAP2XFTR34tpY/s4bWzf 5QD8Cb91AKgTcBXwAzYt9MAdQQ1AqxoAxT8aAYcOQN406wJQgLs7rhCArIBx r3UB98UCeienkbELeICBbgCFc6HfTAirAo8wmBqYFejjL2BE4vu5wqowL73B gDoCJf8pTQuGnlZbMFzYApspPsYFVsde0DyAYdO8G2yAbDsZTUA1TL2aTECY fi2j3gN4a7bHTfkZn5mr/rU65E9bQcCqXGej6LMocI6TQsn5edX8LwfqvoUD 6yBf9P5SjK8r9JYDXOFk7qvfaOzgPDW/aCzCfBXM+3qh58ZVcM9//VQS6Hnm n/Gz/9w/hnmfmF/MWaJLaN+jnhvzmtn7iD1wB/pQdqEd6/3AzvdrROhZT1vB JUFWDBUCb9xD5Lnq+OrRxD5EnlNSDHrGOsLPeyRp8CcS/CbvqKUX3r7yXrj3 hvs2AX27BpL+9JvGTPjPMDxot7mZSPNrJJuifjERjio6hH0fhX3flYLvFhV3 MJ7WjwTfB/ijxa242+ogppmps+eCrW3m6NvvNk3u4JTQyPLhKOaOCFdDl+g3 dLz7Ieq44JxWjSTK1O56lqs5y6Eftb0BLt4acR58yt576OlYo1PJHhULP6YB nlEuP8oH3skMivG+oHgCd0dO8ocYJz/NzF7DzLwDyWrpaeiPcUrKDOp7x9NE 7zqW5eGzcRhs9nM6BMZQrFUNb6KfP/O2Bvz8WQVa4TYv/25cO2Bthl6gZsDU X44JfjT034xyHrFWCU9wN2i5S1zXwDVU/b+EcI9GpW7eSqQ7efq55fVfmJ/1 TzSwnjqf38vz9i6KO8KDcm+1u6U2pA1BZ3D2922YTroMWfryNOUMxh1cG9uy 1UpOOYt6vkqNu7KNRH0NFypYczShrXLugLSpOB08R7wbuD5mXHum7PrdDOiK KvmCsNV8O6BOYGvCDrjT7BWAnaXhu3kfR3TrzTospml7LXEudGvwJx33cTbp vgzxFsz7VsIP2HSzVlb0I+FYge86E3iNJNxtHPEm7ybcFHH69sMc8T4sgt0Z Iwl3F4RbkJcz3i2ifcSix6ab9oD3Xk41Fepp2s24O+q3B/X07QP8PSsBP949 ANkeflYN+4g49FFm8AI+7t0C+i8UcZTj3QK/B/s2Iyfz6hF9B+69iTd/zPHY G+rWGW/SrSOJfyvYcPFJzv0++TllnREZ96rgX2Qgj6d4n3lHWT9L8T73pZja nkf97gLrdxfMpQNwYu5BtwfacSopCnW3fyvE6gTEGkwjhGbiFqmuKtX6iVCm u0tcupEN3Ra8q8b2vX/T4AM+mASd5Tuet18qQfqHy5HGX7+f0ywyvUTDgWbq taNDrxY49zFUsiUv70+SXVGuq41ceyDtQbKjPOvlhTNnRJLHk0Cvm1CBXs9F DDakuSsbppI7n2ZVXpnWQPVtM1fv2nxcZZp0iy/fyrs4tqpUF2TDp5+KCfUu 3Iu1G8sCNRu2DsTGpTMLbkmtA7UeuFKQHXW4Fg7cmZgNrWq1ZdOD9NlzcfUJ 13beP6n6jP2pz/eb13aglaCKKnU9pAINVhOvj4So0NYyesvNtv3gj2bVT8fr UMIpMfUg01ORF4SjosjjMVSVufMkb6GcRB49hTx6Gr99dQxDbDNcWcSQBJAK 5QnOCT3xWd1d6ASbcalNSPCpL8S62mkMsTVA+SWDUp47J6J7/stRPOchswoy K0QzI+cKxquvYry6kNuK1s5Ubq26dg2D1te+m/qL66BTCUVhnXR+P1CBvSF6 T4YogWUDuikDL9bV4pe+53v/Ldzz3f+Hf/2zfwS71j8ps0fqmV3aazKszJJW 2GzwOqCBnHr5oNm0FSiVr+TtHCtHCv1dNWrk1iDBSu/RRK7sp+xOsIIGbic1 NtiMlA0onm3k3dAbC1wZWjrfzKp5ZHarMktkHUiNc0hEfMMO9dP6eXexYL5L RHd3DNCr42jNSJ01KgqzpNO2xhdA3ovCeR3HWFpITTVRRrRGpEtQPsTZKm1Y eqSdq2MiV+5Qb60cM1OO+DrQ64GtA7Oy/ZFHldoeW8Or93HrcOijqabSdAae UiPNeFrz4qFnNC8mwCyXj+TYYgD9Rc2KGZjZDWGtJXgnXtFQICZNWtVN18L0 68lNR4WVrWZQBTvOe56Pf4aOmiCfKNYaMX1lnMJA2SnM6z6N2WNnODaWgcw4 p0DzjmfAfP4rCWgMmF/k2NjFrycLnXzsZauEMaC2EWfR3b9uHCC7A4nxnd+J WPMrU3QFaPlQUXRjQHyrgNoBattewG4Cz/IJ7ssYv9kU/l7Z797v/wOfv+d7 fydE/y3+/avvD+g/wGP8eT2MdAnAssmtVvC+lRp7G1fNvG2gYHgZUuTlXJhk hf1UCdLjlZhrshKqqymyYEwrvZozRFePxXcny+M5xx74OnBrm8BBb2RWvJFT wDOE5a/NyIe3nIgb00GnIeqbwrZT6qC3n9bIMd6Z5pTtgvjuxgokzSa+zIbt mFTeK6a8DsTiHo7bA7AltPsx4n0ANrk1TSyDVT7IH3Y9xJT4kOhtWwwMcbXj oYMrBnWo5jJ4/udiK0ftfkT1Vi0ut+t7wrxwrfDCn7LgfG/hFtNEM3KHMM9l +Nn4MaG6I8+bO7ZseIyJsMEb5dcBXwduUcr+tNpiJVjgxX0br7GypVHw66y+ 1aDGFGNzrCfTerYZwx78ZkL8Lvw6oGsKHNmoqjdWQC79FXNfjQZw5eFbapg9 6HUA1rC78zvJG4OhazasTS2uUohZ3mISbBHVmjnx3zCU3yr4teMWJN+rYc/x NoFwr+zKqKP6vwvV/5X7/9r7w/pf8VGt5JIjgXELoicuUlMF22TawgFqrKs7 qPK8PNrp4cR3hXBXTZ3H8NlXHw050eA5rBVBhqFeB6LXc5Gh9VOqzRumNfR8 bcSUlk38GaJNosSbY5ww/a2FrbNFWmxQY2iLKXGEegeXq96ZhBkfB//fBWHe zbnfu0WUm2NY9WuPOmxUwC6nBcWuBA3NjOW1Fgxq70dNO5FeDa1KuRKP2d+H 8KAJcds9yWGH9nuDJcQdGNQ+zN9PP2wTWzofDKyAdT1kBXCMdYs0H3lM5bkH GW/v4/HK9qX6tTDvKdTVQqifZjhwLhdl6Fk12MNmsIm8JMCogY2+kAHvTagj 402JcYbNF516ba5Mv9Eg01ZrO/FZq3bVUgZMwkE3LfYpThM99cUbpcFn1XED +C8zKuSduFu3gSJ2JY52XeKo1aUMd0MeRS/c3nHVUDehFt5jWB3s2ndVretA v8sgr8ShrrvVc2ege3vMU+UFJLs2h+x7vl+Mrd/93b9L2//GP4ZuX9DNAS1l G3UwmHBGnyXP/elXIkn2kMaKtPzQSq50sHKUxlsDPxYBxG8i4msi5nMRJ+EO hHugjYKYDVVvZPFrIwUbfNePNDUxU95yUmOrrSW2DfdUbztlqXIUcNCO6So7 MVq961z87kI4AXcA3Pw38G5mYXsPx632qO8Oe69o6Bfeh7JXC/LoyDZu/Lim STSjQFy1vFZo+T0hUo7xK8xf62Bp24S8kGp5ruvhlDpj0AqjU0dQ4ep5LNHd K2T3pclq/ZwKnmk6rDny50HeyTH4jAk6LfgwZ64OPxeiouvnHeVCRCx1vcio FKDDkZsTB+vGOxw5J6pM2fTVaU5em0ZeLZwb3cynj1PCoxU/yYnhJ3Ezx2ya tCqoE3QH0EXNubo1S9vvpPBAXI14LZz7ihpxhuj5ha9G3515cZaxL6HidRm3 cVyB/Raqq/UCjuT6OwEqjqiY+ArcmLH6vWI+eYTcZo9ozSuJ9T1Io6N2A+f/ Qng1vqen6G6R57u+87f6Fr95A4L5bf4wq3wJsyAWQdPtQCv47SevDGxHdcZK JaLL8Y5CAxShttoBUqtRr0mDzGsxmWwda1nrRHvXa6C+hUHmDcfi5WocAd6k GhzDA1AHKY7bn6IYmxDfFLafSUIcdpxVh70TAqwibNq2G6v8NcNj7+GvvteB eVU1lx+7hauQtNyRXHbYr6mxvHaATjsDFClyWhkMhEpU7E62wxxlOiwaC63t jDNFuri8AaF8JIUDlnKYTH0rztLjCGifTRTpj4VnkukL5a0Wyvscw9FlewDJ PQ1MzA4RHmG3X9bqFpAcx11WE8iLgWItTAqKUxZEMt77LEhyoAnmeuYthvx1 HANNJ1h8PvE5FrnCSTXVjtpr90WL6jLeNjBr4fQ7GZhfiiWvsxxnovh+JURA I5MXvsaKF9iMhF3irZWXvlGI72XUvOq111NzYx9JUiVNJpvXipnkli5/L/J0 /fuxAMadRJObMh0uNDemzvrPxOvdidf/N9z13f+qh/nkDXhtUNw/yvw0qe3V QLY8h9wBDdKLaSNCrjTJZUOF8i4fVvVdMRJY9qK/HsUnUO1Ya9LKSNiun06+ mPIq2fBGQRW4bmLBeTPnhG8+Wcjqllkjt1qQq5LqgK186jpoC3AdyLW94J4Z gLeZVa3mS2qgAfEeVLX2IkcWhDGKbLNBQLBRLJ9tPxcxOHCtuGAL9Tq3cd5X 271ql9vvM7ssL3dYcgzHzHgPJD9qJDflJIPjSLEDxjaKhE+SFFY++cDTyUpH oZXXhjDvS2D2gFnFVS+AiWsY03wZ40kw0uMcOh43cZ14VWOSQ8fCdKzCTr+R bLQS7QzkGZFWVLuOU1rnEn0SafIsp4CeyiZ9CdEE2gFoD5IVYp8gVlXgw3kM F1/4WpwLAo29qBobcaZzJsbfZNqMIrYpLgte1hNRdu/gJHBK7ncZSKNhp1V2 r32v+JTXvx9rYkI0/bXVvXg0+VetDOO76zD+e8H47yp192m/R4z/dfacIaz4 OtCLO0Dm8iubL0ORejknfzWSu3LU2iK0uBZWiQCvzoNFrjUcY1ozkXd9FSsw 2I+RbuZYkSGLkL+2nkqKazaY0DrwKi9EWndyMaFdrEDvMlT1UguwHzb1PWCS aaGqWQsHVTEZeKM2eto2eNp2juGiSAUOGcohlBVFqk7ekdFpC3l1PWLVKuVv QR1/DQxWEoSfaoSwWkD4DIP8yaZDz5mqsmw1wnuzRl5gPhtGX9QglC+ZuDap uL5iUeBoVbQpLm89JQROv5Elkse4GO6xt0xalUVHGJu0+Py5UC6wtTAbxfWL RNGuQh2OUUHPmdOVyHFcGC58vcDx4l8RSaoqPuAl3Pp4GdWrK1wg6Mq3AnhE pDL17fXJbRVw1kCjB4dm5KXd1cCeJrSZhEYU5bsm7jL27vruP6Q7wv76/0pY /UAp9IBPXr3N7mJcxikayzCouxzl5RUoL69MC4uYDwZ5dMEOzBE5GmCbALWe iel6SUw3aMAFY/x2Y1pLRCSUIST+lJ6lZv5SaPNlk7krDAez6iFycsAWmzLR cmchcfuFNNB2gOa0lfc8tN4VABxxM+SQVqaf14X6tbFQ1I5CUQfGYDtQDRbQ 5KocfkhFD6whuoy5bi6elzSv2qh5DsApawsoeOAtMfdUiKyhZMxVuQafZWZJ 2DLgrFY8gtHZUWaTkDwcJMmePDf+StGS4pS/CfGukzGQTE7xVwkjdSlsjVvD zoE7D+YcUJNjZ9pXofgxtYQCqurRxOIIZ1g9OvOlWNURzqoJLwe6LKUEWxc5 J4pU6cc1rSNYV74VVekqnSvAuv3bDNW9HC1jQjBBjnmdZvU6Z1RgeMcmS1eM vrugcpE0zrlgdeb33h9Ff5xT1BcQ8tdSzHUCQE3h1kFmjjlIYRkIWs57FJaP qIqt4EhNA1AqX2QJyjXeWLwRi2qznmBP100HEuZAmByGjM2kUMp8TpkpnpjV 2aR4YQtWANjK31PaelqN6jZdaosp5vaz6lR3wJ3u5OSnnec1w4Ts7cIYjige 7mSwMVe4VEZ0qcKvOHFkm3vFpO6LYUa1xUZe9yvN16JhPaCaCZqZamYkG8W1 cEgJVprviz623UCGkD6oBhYsG8+yQSeGZrseiedeUGawRHQEJaIeLRGZdvZG 7XTAGLMhn+KYjwKNNHSQP5BdwjGqRbCvIxyrHXmxUM1RKOaY3dKMG5tEJsdf LZyrMewAMCpErwfyO0XfOs1hHvB7zAIfZYY3Mc2YcHpA7JJvtaqQZqC8SeH0 lxpyPxHKKtD1DehWc3QRPmlivCnzimB6tYgqeK2lRNOmMQqo8mioptAcU5r3 BywNy25hFOn7+3D9O/9Ne7Z/+f5Q/ZM8exRUkSky+KssN6bVRG8F50PAca4c 0yCv/MUzqtwajKOu5fIc62wihKFJMj1g9AbjRluEY9PJCGOtgPGUxlYWebay /koaz0RPsx2F2B0sxNKCnmeoAVUKfU4hxDTyVw17roacQQcAMbZqCBqGJNBR Rr3a1rsYqPjwnoGD9wTAp2H4taVfCE3oVRvRI3VyxjslX+xCPKpBAB8LPoFH +ZT9e5/U2k+fqqcDdTb4MmCr39GoDiJRFNywHObzKpwMcagjnG44Qu2MTjUp gnyXaFHr2FPuKgpeNQcP2HlQ5yCZyBltRfgZFmejcHowF6s/s0XlBxEXsAV7 Z3RSE7ALZzmoeg5zisneeSaJKPjAmVp4sMdqj4lmpCSKJkD8Vh2InsIpOEqW eEcRoqQcXL2zKP8gefxeUEglefx+HaRp2uL3C0kq6rh8vgHc6wTX8sU/mB/c n8X/yO2f8gmdq3ZLfx2ugNWBVdEo0jqkQWKHtbBjwurJqyen9eLpw6pxpoZh 9YQlhs6wXTsVkqLy+0RsVUObiG10qnhTFHs2o8jDSs8WLHe3FcWdbVxDZ7v9 DOF23vOjvO44b7xykpLwKoq46yKrO0R2t4km0RXhbFbfiwEVTFraiwHRfZj6 0JLsLkWTAnkAqWUrU8vWuwu/a6hCLZFatt0Xe0OhVOMBppco/SC1FEoxUmp2 F6AarCj60Ol22wQmON4klNXQ84QJ5ZMMB2Ytz4RU9nN6xABv7Ru0yUymlUqu V3JfYMT5FqP4zaQxDp0cNY+bcSobTGAO4iTu6pkyLj24dIYjdhAkY0GHhvbE 5wtDK9IIVZz9YprVBDcLMC08CDUzSjLPYarSeUx1EBirgJEVG6vJXEadJpHo lcBvM+TV21GxuZ0VGzL43awwJG/NCs73UrB640ChbH+97m6+65iIqMOkaN93 FS+yuCON9S7zwwWK/yAo/ne+1R/egMQGCf03fLRVr4zFpbgx71aMjdzGNeuW 2UyF5Vx5Y/lITP5WsjSz0oYwc/YomVjZTswsDC3wa0Awmdr1M5mpPW5ALiiA PKlBKK2EQyBl163Q0tMpSCc11O58EzCJZYYmwXQAE0paoKlKavQQzasWXIUj 0un+v9a+LMqu67ju5d7uJinJmqLIkpYiOrIsr8ixlGVHy0mcFcmylxNHK/ZS TIIkgG6g53me53kE0I15aswEARIgwBkkQRADCWLgLBAkQYq0f/KVZf/lx4mk m9q7qs693XiARDsf1Rj6vvfuO2fvql116pxLdhYlLcLOVjO8AlK27YhxtCDl 6MM00hNi9phGUlo49aobCWkPE9IeE7FgaJalgaERCIp6kJ3FM0gZO4RsdBjt CyMeRiUvfU7D6NjzVvOx8600kBLAU1gwoUydPm9ULCAVZ18yOqJHf51r1IJk /aU0VG5AlJxnVWdeouSC21XjZwG56RClUt3MLHPzGwmImWxJd9tt40rmtreT LEMLlJ0aOBlGrydgKMjKDTlC1GT3e5kAyrRzz/ueo+4FX/fxkA0mnmnQDAz+ yHJPrmge/NijnZC3ECyNAkv5izuYe1rJ39c78buH/ja85WHh4uGPf55y/z/l IeSnbk3IP8n8n5Exp5GxMLlnIo2M905Sx7pEvR+tQ/ezdYgidlZtZZac6xIN iauxT64Yu2JL2MlbYn0FYKKxEWWcTYhgWAgBFbN0tNjI1wQ6xqZnK3eonq1i 91A1u4eqrXvIuBgxRorCFfrVqaGoyraC+n2aVnqE1GH0CCnv1XRIE0vag0rI CHyMGCptQ12QtO04HaeDqWTHI6pnacpC1GTZPNRtzUPdImcha3uYRfZyG+yy cKmRMk76JUIiWg5wRXPwqbBjVsLk0DM0ISXDJATuyLM0uXSUDQeucFUtaoyY TGNkMgluTrF3cOock0mQNCVqYTIDohpZ5172oRK24lkrr7AuRMKuTwlLvkbg qwrcAtCVxdiNr9JE477mg4hQutmf5ItakYjcrW/R5F/bUH11lsZgqQdShM/d rAcZKVMuRMketBjcjpgHPkq8x+OghdFDXPiQn0XgZLYoBBF7mJTMSFgqWo2Q uewzErESevjjX+i//vMnY+WPMpnmX4s+vcdtwhgov1thC4748z5JJu/n/tX7 uX81y8kHUABaOecfAVpazERfn/BSOFw8r4GSJvRck6EoVetaTTZTdsrry7jW kWEnVj5Y+0FsrKRyJTV30kDPoFxJT4bGWh6qHrip4TECMfGoX6OlR0i8TCIk uRmBm/JSYyatBQdXBXIWpuQ8akbx2sEnF3VkuNmJcm0XD67qelRlrFPU6Ely RiBnlLKyMGWlMpO8FHb6nhllptBxGKaU9G1uCJRjpzVQjmuRR146ccYnylip +WYEVspNZ3gJWkZgpelZ8NK5OXfRG9QKlvMyAjFzVLcMpPOs8SxQ4S68Gpgp /6fU3PT6snIwmRmDlhFYiUD605tlLikqd2ZBFDTl2+xmY/7u95y+iwifS1ga g6CMlZGNFIjpgR12kOfWHULB9sG/9TeSvxVp+OS3tqzT0lH86Ye+//CTUfFP 8dOfAHuPRcJ7WXpdMeUYI/9mzNjCI6zDs7YlDq50s3XDVSJQIVRXq0iVWy/m qoZzr4SrGms2uoMX6rmx3EPixeCc3SnLPNutxEPixeCb0k2ioSlSXFqLsk4t 1v/r9nptByGwnlvTGljWaTiwhGsxaBaDXXE27LUeoQI1WLTzPLj2h02CPkKL QCu5tPO4ys8ubkzrZi3HAx8ZhlpOL7vkey1F7HsiTRH7l9JL2RUng88sK79I kojK6ShPWXVyBYJpBVX5VUBukWNnE7ArBruoSkEx4dJMahFIJZ83+3KWWuu8 icephYoqFSrD3PxVKlMnlCjU11wlbg49PAhwZhGjXEGyVeToNjcsNW7nk3W3 X9PiDu0dE6lLuQXTGg8/ZRF1nT1IJZ1WLKnKiw6knTuaTX5s5RyvvDIEptle UUaYBmbFgVkPfhxUtVDkTz4Zt34QuOWShOSaUluBYumKaX/RfcatCD9jUCsG p4yBq4xRtHln1V1J8YKxaqPaGjuRYY2ziqGslFtQSi33K6PILOcRjOVWQyXR NO/LpRzDHhURmxCcoBmpZqcz1Eg0Q1SrZbKndKvbZ3Tbn9LNkj4ah7GJO0Kb HkyjWrNkfS3cRtai3JPsD/xrpeRsO+ojBP5ZhMMJbCGoFaRB7QQtouBUFDL3 c6nZp1ITlVQ7rNz2FA2d8g9BFBvmWuMIheWIMG1UDTITFZjxlGgTqbzUN9Iw NnU+DWPT6Jeb4bM0ZyyEGdcikM25tt5W99dTUpJrG1gzZRBTvrkjkJglQ7jp DQrKYFve9KBYmGx5K4hLJx3ywp/CdzCMXUtS1r3DcmoMvpneVLGzO30cn0ay lHIFoFykkYy/ZTg7AJZp9Dr4N0Fswu4MQSwbzvRjDn308/Ax9tAQYcwPPhnV /jhDtbQEg3hGmwyfdp+tRxjVsP4uVJO3fmCdxjCasG2VrRyuSlkHzkWgXAyu RSCZB7HNiVsEnsUgWQR2RYxdehWSORqiF0NYFRYJq5HD1fA8hBp7nocxi7yK wCvL5epNLFoQQy7HNK7RVvhBqyaEsmYcetKCMidYVJS0ijpsgymHlE+IYR3H uAEMIvF44rEsAqMiUAmx7KQqxJ7HaP4Yn6d4NIJkZ4OwZ8xOUQ8KoZ71Ly1k ApVAJI1edySjp9PoNfaCRq9xSdYmuH4/gV0fk1yDQKqG95jiiUXTEITTyiQE r5cSZ1QESpFOMelUmKwzRWiUoigko7x2idC18FqCyJVsxPLDJv54g0cfg1Fv qjGCaZMMg1gEPsWkkvy8Fqgkv9hhJPKdXbusoBLsfeZvLlwXbyTgk9oHyiv0 pkoKt8/tZ86X/VjIP/CR8isCvWINV4dQ/ORChPLqb7xaZ63lgV4HP/zfdl83 E+tXFVX4WX8UKPapDAGFWjD5171pPFsxk3oOw8tKNniDVKs2uKxabXTCisLG NIaVbDJuFSZrbP2A3JLQVcplwFJwq2wbTyGS2FW+XQ3xq8J3QFey+Yy52S5a jkST26le1CgGrtUYz8g5j2ERaBaBY0qvQtILlZImW3pvYrRq5nGBzRKtWmBH 1Bi5lG2IXihXtocDDIRtSQd1Yie3QHc+umygJFnttSNGJFipPanhqv8pisQI pMt9Jh/twDoPYHwL4x1oF4F1GsHIuTGmY+PYF+2E0+ilN2qRKxdZ/MpyDG2j knShKAKaGdWwABg2WM0zWM2/mmR5FoFoMTgWg1oxeOUBa6sqQrXAqO0sViJA 7bierf+TZslO1YUokiDfYtK1G/xavOGVxz1sQBNikVZ7QwNaDGqBVDClF1My uWkJYszIzPhGd2o2xs/XvCwPzX5hNNMTC+4KkewTViz/MNCMh5hYon2PCMZ7 TDjeK9nYChQoV3DFYMVsktxnxsjG1boH+HPl+hRftt2ghOsB0Icg1xoLXCTZ zQSTOLY9EAyVSVY9KnRvclJJVlUxDasyfQh2VSMNq2EHds1eJVjtPuMlYtmd Sd1+jWW0AxrPGqASlWgRmAaVaOsB4JjxDCrxiGdordoPag3pRdSBXSeCDvTQ FSFuRSAW6o+2hg5a9WFJrv8pXwJANBtg78ogn+KapZVRS343/JxPGanFHU6j 0IVjXJkbO6PBbNyDGWTiWZWIkxLPmIpNnQ9Eu6BESzmGesdFJmJZmoWq5obM U9XnsTow/6rXNsCzBVY1Nlowkx8g2mbuoNhiYtBN+XRzJDOg70Ak28mcixnY e2pOM6wYSORCFFv8QG3PB6kC3ZNZbocp9/axR23fR8u4lyvwXM0tnOaXakh5 00PWGlPEfysBwyr9R7od+cCHPGBAH21DAuZbw7sNAb8XCPilzG/vUeLJ/d7r 1CtIqTdn6L6fCRuk5APrVUbSWAZZxQPzV82rlMR7FmNjcTE3HhZvSon6z+27 M3DtpiF4schfbUELV3zVENH6sOq6tkdoEm9Yl2g/zlhj09zJukTnCSVIlydK 3cYOrJY9rpkSCNJrcYdEYc2v3yNPQTKQiTpiMbihtChKhp/XiEN6nCY9ktEX lBwMN1jSloQJiZOxIgItlBKSOSkdlBogxAxPqJx5WbMmEGM23ZzA0HM5saRp /RUMPvix4aoaOaL0QIHCww/KfibvNlPSbUYg2oJHtm3lI463pZ1eIWBstyi0 g0tmTo4YnMDWwPdV34ESRgvkTGiC3vNhqD0wCP1MbR9yp31QdPs/8tgi8aYI kLfoxb855nX/AhrFfpkl1hfygPuPPhngfy8A/ivZiDOtkYYmem4F9u+tQLH9 Phbb77cToTXQPIBFsJVYBFsFUbd6wQsXEHYAN6yEp8mVIEeSuIMzcbaorFtr K9ISd5JS5ExlzJnKRMyVuyFdqqCoq9yVzo6fEoA4U7NP40wtJJxEGD2DJKk7 oDGGdlDjTMMhjTWNmi9FiDQRQowlLS7mWrDe1cod860pw5I2kXHtXO9qp4wD zToeDVQDsbqYO3Wd1CDUrblTBJJFYBfapTUABZ5B3/WHCDSA9a5Bdk8OPpuG oKHnjGoFgWojp835jGr8gbgL8Wcc2m7CSCa/nRRdh+rElGs7VARteRokEzMJ N8c8as4E3rrLaoFpEQiGqqDEnflXfX1kKc0KsjSDxUayn4ZFqfysMkW3630L NQXLQ41ncXs+DMoOFg7BAb8+CsYYY5w6gGZo7Ss5mGnmYsUCB9JlavFUgFzS /iXf+EshotyGYF/Wi6jnb6ba7waq8YRpQ5tT7F7sZneKaTDRCxBMaCDYSh4+ s1JiyCq1nPKtYDnfYlANLSHQeVsSZ1uUrN3qJBeyUeHRlGkRqCaKCiKvQpgG tlVafZ3RaNFEnkSharCOJYoarmeRffvVIPHqrM5ez1JFPZooG6DuGo1y2IZ3 WKVd8xE1hYXy7mFudze+Gec8rEUgXCaD6uQTSbu42SfDuFyGckUp5Z7SdIq0 wzNJA9sKU7Y9p6bFQCFbDKbZKI8aycbQqzxOjTd+ViPaxLlEA9okNZ6RjVTz pbGZiyGSJbOvUOaBcKyyZ8iGquDNRJt/zUWW0O11Fi9guVTvyc1kOBeCmzeH UOFtE95tV/O15KD3CpOdpvUQ1SyyoR4YWrf2WFyLQLoI4SwC57zGtv+jJNTe ybg4ZFKF4W9GtiX1+g//AX9+JfDs+7fm2b/I8Cf8Lv8jl74VSPfNzG+NcDkG NdQs5lTH3ce9cCrk7rf0SXhHUyG3kutZJN9CQuoJAcOxqSQf6+0l2JS+xglX kKy1OnupEi4C42ILbDjjSVhmtKxyfqUcI8ViMCsGrezDLJ7llvPqrqTpoaW8 aratc8KspEVCWSsL6W084ilLrXY80qQD1b/OEz6+iGJmEYhFTsnvekwpgla9 SKX6IBL7n/bYD6FIU6GIvAob0TWGPe/VdcSvEc2iXvABILdEIkIqGrEiMAsR 7NwybRYhgMknTmv4IrtwwSxXsmbR7ziHfsd1qKmvRwVwg6VNEclUSBrhFaTS G0kqEakMfcPBFhGFW2HX1JAybcNq1XauVm2/HqoUyY53WZ1AnQJdyLsYwnaZ NLSbL0AcKzQW/cySI1WGH5l0sWpERu0V4j8CzT78P47zvI8p+4N/HHs4qL8V OONHL5IzkuusYOFc2CJpPPkiyc79bhanjDOMUhFYIsO3GlzZqObZTjGkoAap ki1pkFqz1TgTkzOl211ZCWEgC3dSDqrtUvZEYI/8WPRv5dQRi0GdCNSR26g9 oGGJdlAVId+7gd0WDQ+aKDycqCZsQg1dCIRK39FE6eNUAo1UEYJKxxLmXBqY ipIOSbE63XQreNL1mBIIVXXJtJBxgUM96ETsRU9/IFBB0m8LwCDPALKsQWRZ gTt3JMOnA3eSkReYZiWjGpNCgBg/u4wscmOQgJMXNCrRRP4x1ZrmUWlOoVmn kQSoWfRVzPHg0rnLqRhcdyXJqwXn2V8xj4rfwushld8oMQl6cJM/C8BSri1c A17GrCilVhyoteNdr98VMETtfD+EKFt93o3AtMii36JIwj1qOQarZfnXXqut FwSFKIz6OLGNzloL3P8zzbWMaXeHwPSPpNaywPT1QLJ/k3kRigoIRiugAe/j 2aHOrSy/Vi7j1yrj1mpLtoq1qkdmRaAU2CT5FRi1ljtmSsPCFKSfsSoCpVDj E9lXsZvSDykXeVVlq1PGK1V9hUnN/lT1Gb1Q6OPWU6MX2RWBXRKkjFao7x1Z GqBaWDNvedgDSGtG+7Ud93yrMGl/VPMtmnIMeddJk4B8bTfFXzfEn/ArDgFK YmPf05ppgWL9Fp9INZF9kH+DlHxDzLKGJEIh0zK2RaCafIqTTcFIyGh4mgC7 1OT/Ji94UQMsMyPTIpAMVb9XVAOqg5sj0dCYr9xiGZ3VjFcTp1ccmAUF+EZK cCfaplT4ZTgWg1oUfui4gPS7Hiwyau0Aqd5LUncRI2qRVrGmXQxXe8Ky716I vn18mu3+NFKBOR9nsi5BJ8t9KLkbo/Z9+H/x528HRuXbnH3XJ2bUVwKj/m3m RffOLWVUDCJFiFCGMyRTtAVqOhTrsAVtNRaiijf72yBE0bYaoe5M1mwzQm3X MFW6Q/MoksrIFINHpFAMBtkdV+9jwQKp0352CBp5zMgfSZkOhSZ6BKbDZiyD N7Fa0ZShTzNO3G3hdu0W2+TZxipFG7skKO8eTZw9EaiDDMoCVCc7ALvCwy0s QuWiEJ9QPX9KsydQqA998v2slLvKG7BNnimD4iyDrFxzRzL6ouq7sbOq78ZN 1E0oa9CVO4l1J2GLjPKUhKRpt4sanpw3DE2aVs1pSEqNT7ZYD7G3AWJvA0vj Qp5kXoTewushDG18M/FF2cCdtxPNmZYwh6EIAeldBiPwJdQHdy45SXvXDcuY wB1YLtZq4CKf6L4n82A62B72Lu21kqBRj39LKxf7f+ZANPLAvp2HNt/9/0Kl LwUqfT8bnECjdVR9QqX1DE4ITJYgMUmaN0W1Eo0Sq9AosZqLuas3a1QqNh7p SJUwMgmdSKY1jExrkR2VohZRttPvS5iUlLMSXsEjfyokR6p0Q8tfFRecqjQ2 8SWUfTXImGqZMdUeVM1Xx4wJ3Coir3Bthluq+YRYMRil8aiAjEI8aj1mX68N mZJwKQaPGH1isqeQzMF7mrZLevjs15sJ1G8EisCdHBVegJAv9wybuqOh2iBR RyiRj0ATRiKnD5KlNOrIHUzx7Dxn0TTzoxkcdzDL0sOs8Gfuss8LA9A6HHCw 3sjju0ARcyDmgr1FUZdsejtd/jH+MGmicT13K4/R2/oOEyc1DUBY6/XGowIN Q+8Hi4LAy1Bq8QMrsCORyrBpERwSOhVaUrU3c5JXkUo9/RaISPt+lhou2vsB iaXH2DIs3YZLaaWvKA99Ph/o8x8zvzXq5MidCLSJkwfmoeZXWks6/lwpMg5y btUmyjmUF1BKKN7ibyOccd6gWu50wTMYRcWV7VIja3ZTxkWgi/zayEKDmqty JVcdnqQONYeQFGkYquXp72TNoQScSeqFMWBNw2GHSqPxBYruaAhFSfPDLDVA 0WFVqpWrUm12+mQ7t1EuoQ+evfhYAg6pCYu6LUPSz+mBhOvlcm2vxh+bVoXN ICp2z6sRK8PseBh+ITBI3kM5xIpd4M85WoTo43EACRLIYwSKwZ2IlLkzmX5F ww/tEkNQ4M7clZDvCHdAHVjOtzEj8MwLfRbc2LPH+CMskm9iPKJttsNCNv9U FVwEFkWgjxXwnDwWL3Zgk+VOluqYFd2gyfsLZ6zPcZGrsMIRUIRRx9ScZ0Mk TBx4oiu27PbLxqvvBn7kOxLW+PGNPKz4TGDFD/C3O2z+hALJAwuqvwIREDhW QYGt5uOHVm/RyEFT/CsXGDGcBzI9a3eoDivdmQQ6WPDQr1SB9oRKKrHKvcqB Khaxq/ncoWolgJKBFDAeRKBABPxHAD/a7ux05UYRYE3Yr9jEZlUHf7ODX4ak 5ZiGjtbjTGWStkcDD5L2E0xj5NoOZQHU2GNJygZjQvcTdg43jgWw3KX/lJqp r4jSS9OWodNqnPnhFzR3IQOQwEjygiAyyi3/Y3yYydg5I4PkL8hjJi5opUDZ N2k0EBhPXbQQ8kribEAogRSbRZVtjp2r664uy01iSrDCZMPrSWCCsUEuWECn wkYsEm1CyrL5pw5BR72pte1MVba/R/lFCSbpCwLETvzQfOVGYOHuFLk5a5nz 9KUooD5S6aXX7PkgqKu8R0ble3TBEsjnf/p3UYD+n2X0lISB5L4NFFASDua1 /CA0WZ1BuqO9xOrH1EnbNekwsEdAewSoRxRJcVJufdoV3IVUAYFUCUdfRUeP 7AM4r6ajrzngtwOFZEa0o1XnQXX59YfV5Tc8pCKp8YjRqQkaqZlrNc2ij6CT loE9AtpzFEthZK3OAmlUmPQ8lboXePZeHl3ahy24/egmFWBDHol/H1T/juSC izHDdm64Ofk49e8C8bPq38e4y2ic6fm4wXqC65+TL/kXR4phFgHe0EkpwDPg dk/u3t1vez2XZX4FvqOA7wLgW7G9FJ4ohV1X175NMgyqou0oIu+AENrJSvLO G8G7K9711bs+sGyDFa/dHyZZf+8f8vmA8p87TPVIJ7rzX4Vt6zJ1JP9FxsUT xVyMvB9FKXHn2Dy7UdXMyk1quHCVpACrBNoC8c/xZj6dlO1W90wT4FY4eEWi VIh7hpuuFMhWMWGu2k8IA76SLNew2lRzMEBYJAqMvroOvroeBacGaJRGdo41 Hk2H47P6heB370o6zOd2Pq4Gv9v1BP1u0v2k6/ge1Gh7nw4bDMQJwxn3Aaj9 1PH9z2omPMAseBBLh0MoHQlI7UWCUreYaC1K0brUCUeAqiKV3lfRSoAaTAHR S5lKFIq0kv3OXVVbh/x3HTUI1Yiddb8BNaQNWKmfx7LhAnePL7ylan4jS7Sb kP8KTP3Yf8ekGXFZYLi8EcQ7QflBsEhrso5Gx2pWgsSZgtIeyo1serx44+fp mShRdkXi13TAfqwZX/uXmQsEp2oLVB9ywQPQHCuhOVaGqo9BNVmNqo+4YvFc xdvUGdO2qzPGpXDGa3eq8ijdpf74bvvCTdZ038TFgmZ2BDcfU1fZwiJNqzvK wqTthIoC2kkPwALPGLiMAMoIiIxTMBYSiPgEASKtnytu/WzEH9CqJt3nIJqB 1XsOidccdjsTCikjLwZt4LCERoBEHmeXVlYcTKKgOfmyATIQy/3kjIjiGYHj rBuLMnMA5RwfwCDQTNa9psCkvZ64WhBkCjHm36ROVnOAQiEg3yxMNi09lSvZ zEyTmmELlhC2XvcYvw2PPduOxpIdYcFg543kZszGVrDJageitxC49RSB8LVF hsX0GBPBa3hRvtbfb/166PUDEVw+/CTjagHY+3ku+lLAxgQrrljNLV4KWZ5U 51B1uK6xIqXBNTK8inT4bFK2qF6YBg9sXpgeeZ964krxvlWwA+qFqyEY1AnX mAOu9QOy6njGR91h1RD1D6mGaDhCDRHBHaOOKfxosqJlM9LFZp6+Q3ocVyXR +ihlM0ovJ1B6Ybm/ww6Z7GClspOPD+t8Qv1215Pqt7ufMr+NLkfIC5UY6rpP BdYYWwrddztbksHTLjjuTClzRo1e3LZbjqLZahRL1WMqNsyNj7OqOcGKzIQl lcoOjs80pMUMiv6z1M2zV4P3zpElMQgSgRl02Y60+TcCMSAv6LONHKnmppCO wQryAZJD3Dgkxla2zm99N+jq94J3Fn4kO27QVG5QXKANa2lXLylSENAfW3Vz 0a5avPFLkeJ6eMcPg/u+DQHuVmUhl/8P/kdRgDuEBE2FhOK9KFm5RbXEqq0B 98nqbYr6GGCPgHR0GlrL+tpddM1JqSiNMtRFyhZdLQPq5cwKK8LTtQDzSmrk KlYQDepEegSko3JvWK8LeIfeqIfeaEjx3Qh8G8abHglz2Gz4buHqVivKIW0o h7RzA2O7gLvDjJd3wvF3wfF3w/H3oIDYyydLmwRxPBPKEVBMAYK+JssGAWAD MdJCCBDBrzVTj5oAoZ039IbOpRh+PpkULz/F2uEUdy5OX8p6ScdxxscXBB9P e12hLMkgWwTn0xUsYNglzEZx65tSI4LR2PROAhgTxGIFit9tKXS3A7oKX+SF N1yc7CR+d2XwK38vUl3CD8y48N03Qott7s8Cbr95a9x+Uy9ahlvHK01E70p0 OwhiZawdswG34p6hKoq5y6KEz6so2aFumrZTlQWuzcA3R/xGBtvyveqnK1jM qNgXth2an65CHaOay7LVgtkaNRT6HsTn1YpzrrMNF3UPqaOuP6KOukEkcyMX ZxuxoQki5jeSJsFusxnd9nHD8qPqq1tFvUDJtJ1UFdPOFdkO9EB0PO4Mg6/u pK7uQnWvm9W9bnHQcNQ9zAMB8LuS3lMpwPusUN7/nDrqAXXUENss+WVwjgIg lM0IU8KRs6poMt53HPplAiczCbCxWAt4v6LmntliMrRMfh2T9dDr2T0k4E42 iHOefzNsWlfRgrLGJvbgCaKJ583ulguXemNDsyMxOGdxzMgAd34QKn/qnHd9 yNzPV5wM17s/0Kztv+aB7923hjS9NN/+r7Ku+BaQjoBk6I9t9L/mC4rZYEDZ sSNxPEcAcwRHbPAklhcTRXLZnoRAVvwWJhXqgFUSAcN0vMtA/KCDuCCAuM4f ilQPF9yAhdGA3MIUucfV9HZbsCbaCu/bRmlhmCVuY4Ns5xPZCemCE+6GEwZS 71RRcSpJsSo4RTLY/5zdzQBywUHkgkMoxQ2xFDf8YvqeVqcdQ843joKbI5Pe ls4WrW4Q1ZdTV3ZLUW0O10S1INPd6/xbKqZpbwflH7zuNTUV05txOvUW6GjH J11ujmqaGDWvS3Cqqg7f6As2VrsyTvXHwaneBoG/GxD43/kf1gptyHvAnamI gK2pM80AUPEXJ8U7Av5yBB+2v4kPXetmzc2lisEcQRgBhHIn5aJ1oXmBQ8di pXU1CxaJxAhIlA8yLBKJEZAYAYZy3/VaKkvqj9KTCh65Rg9J0KhyQK5vQv9Y M7cTNFudrIVi1xEZEYifSdofTwBGNXhP9aBJpxXRBJRJlzhPONHuZwybkime CthEbQ3qQGCJM36eT4E0II5z0LswRR1Ay46cw79HRAmMmo3ZBp0lKI2A0pia oDCZuqRFCQDVwAptcMVTsbyywNzkBtSB53leiKGTinajozRWlAKhdJzBfWZU iF4naE22vkdD+ofMbxtAuh0lix03/GYUszs+oEulW43MuWbkgnnZQuaKQULA Db//S/3Avwqg/pe3BvV3Aqh/nEnoCGjuvFzJ48ZXZtC8CnJ29fawn0aQHBC9 0xFdlCJ6t1rpopGgjA9rLxNdAH0APBumoRGwz7mSyrbKGrWqDxmgI/pVQbV4 01q1nAO67kgSQO2AjoDlGDCOCOM7COMWM1wJPdB6knoAORyXyulfl4IZaRyX ygHoLgc1nGy3AlmcLMDcw1pbL0vDfcuPfxMlgKg/xNLakET8YTdRtiMwlNZG 2aI/ekEhPXYhXb8WVAPUahcpelEvxmL5FPsgs+iexprHDHefzVylNEhmrTQ8 Fxb/YjhhuGAKhIIA8xgIJ6Zj++xN7yytaGzhEt8WVC+2crOZIBlADrb9fQNS 4TIsBzIQ0FTCXr3QtfXgkv86D2S/dmsY/34QvP8tC2NRtSsVxqg8rOIO/VUS /lfDdqgRxFAAJWztgLIFdtdwL/FatsCvXVT8llq/oUAYAI6BXJxZY7644oD6 4kr64KqDfhvQBdX0wTXUBAHBD1EXRIBvBGfsrVXihxseUV/ceMx8MVSCqQPg 2LAMlXDCP2cJliPAOAaGoRLMHXey8CDY/ZRBoE98bb/42AHK1IEXEu9GGBQN MAQ7m6RwVajKO4zwhEK63wtJilc2dYy/5A/ndazSRL1OwgSmU1CxUzxalGi9 ohU5emPBq3eazJlWML1AuUBvDLCKI553gyNeYO1tQRwxnPHGa2qbrqWp4ubr lqWxzLCFi3ZLHfJWSoht7y1BewQ0i4u+oWLC+UjPfCM1Te/0xpnuvfcLf4cV wQ/na4q/UwH8veCHCzIA9ot4zpOdWSOYxQmClnwJaNV2GWzV3UbALI7ZNdSW OXLF5Zapy5W3Koe7rUAWBsgW0edWAax2eouAFpCNgNgIcMXyG0ArrrZOtAP0 Qz3AarXkBjjcRjjcJvQiNUO/tkAttJ4MpwOKf217XK39CcgHnR060GdpyLAo BHoFnH1mDtJIQTpIoTpoQnWIa8ZDEAfDOHR6BA1Ho+jXG0MyNf5yiNQZGMJ9 GhAjYNALxPCUs6+pAYJzXv+VlxOO5jEFj1yjQFIFOG5gd6s70AhYtNRpE5aK N1/3jYwKvS0KuyX6IONHcy4NbrjABcIKiS1HJ/6+3Tv+VgaUffXWKPuDgLJc rL+wFbc/zShaBPuV22gRvKVc6n4SL/wNe3mZnqCQQikOUIqAoog+j4c80OPR HlKvV3tkCYiQFiFgN4RzSQREdH2f0yFrR4Wpg73SnU+rmux6xkyA023gwSt7 2OPZizpTH4+m6zut6OmX/HsAdibRWDzIpptB25Fgjo4IUgcnOLoQHJzcxCiw NMY9CYKoZPyi2oQtMjAWC6Lc30xL1J1RkxfPctd3FlMxfoYH/gBUb6ptwLrs BlZPzb3Ru3nUpm97R8UmsYXuNmTt11Pbct18nGkPAVqh4kk9mgblGyFXUn29 Jg9wvnxrMP12ANPnwt/+LOO8iCHWj1ah7rmae2VWi6+C7yreRZ/l7rRE/NQa mPiptTCWjEpZ93Sg4cqv6xcQ9yK33GRxsFl0XAvsJPWcuBuEvzbmx22WH7ez pNOOkk4Hz/LtEAx1pjiKACL5QfXWY+qtl+ulvdwZRkd0moZiJpzQAJ3QgDih QTV3QjpRCJfD52kImey8J5peUhszPMWAkU0UomJRMnVFoyIgFGCEpsebURTh Zwz82NxuYKKy4e1lQWwBZZ4FFN034iExm5BBb77uL9qCLc4CElt99vJlWfAp t4HBtzNT7r9KAfGjIMxQjRHZtWoHDYEMoqsY/eglu10yYP4zGAACktJ9jFmS OeznCUuW7eJPWMXBRH1O5SF8MOJX1YMUXEl1xu3QDR1R11N7VF1P3cMav+of oeCSe2rg6WP0PulTqSMgDd0kjrWTZhLLCLVWrIG2UWm1P5nFWwfqMR08P7Mz 9Ve5FGwRsOZ7EnpTiCV9L6jH6j9jQCtIgXaWFidD53zcAbMRh1kMdMkvxl5e XqsrYPybuKQybPKSJ5xTXObJIA65MYqIs9g+nwJMvJPlxPNIERbYMbJwLegt edlGLHGqU9p0fQkGk83vWtqQiX5BePlm4Pe1ep6NiFvfzUTJqgDJL90aksx3 CzQBuRmcXwyQ/FHmt8TlziwuZUaKRU2VwMw9GUQjYDMCMOXFpaL8y9QQBw8E nw5gVggaK9UiwDICJiMAUsRZjWWsNUcVkrUPKyTrCMV6LMoAj0VJw3HFI82S 1yaIq2ZuiW2+JR4LkjbBo2MyoLGQnq9zaQTNpYDEQ2QFi71mdIVLcRkZMLHA OMij8QbF2w2poVBzPkzhyIXlMFRojmn8RMbAZRuH5oRKM243n0privJ/02j+ Vj/4Gr7b7Ov0gWpoGlnn9USB6lumyjKRc14yA2QIC0TqAmveHk03+mMIsOfC I+m7tOWYDVgsxD9DbceQuvXdX+ob1eXBZ77DUW7jRr8U3OgPM78VlAKjQCoC aDHUfglq1Wv2uIRbI25z7T5aBIAiigKi6jIBUyanFabzK1hjqWRyCt9ZdVh9 Z/VDhtVPEas1aZ9SFqt0n/XiMhug/BsYmh2psCZHLDKBZsTnFgOpfFyrxGfE aOC0DdG5/akwpB0G0k6uunR5fC5MuiU+97gpSBGnT/sIGUhzRKl8SL94TXjP AfWcEcCao/8M6PKkk8H5ZTNUucfwY5yPxxi/FBCaTCBrmMQPc55LeksJ0hk4 T8EoUtnMmiK/2joUW9ZjdVEBOr/8UW4L11z3CxpzBVk8whiyLV3cwrR1y7vL 3sEvaAoe8zbo+1bwiV8LmMt3Xog+bFHXXgR9auIg4SiLFxWIWGKxML5mrxX9 HIgRMKjwK0jKD6mDNBgSgRHAFwF5cJAStx14tIfVSeog1yHbrDfMxYBaBIwZ BeAUmx9LFGstcIitWKtu4/NV2p5KALSknUfbdIQDAoi2U+oSu541l5gF3PNm p1PA9b6QnXkBnLenDUH7XQgmnjB0dxq6DGF0fwIxB5i8zQSrI4KvZPKK2hSq I1NYUZm+Ghgy89oy3xoBaoRXAeAVA14R0CU/rmnTPf1bpI6N/3Q4+Tb+ze/8 g895rjWA53O/AjzLgPL1AKN89YzsDi7AxyAUGYYQYQU6qLyZ9l8r3guBtvRA oggqowMTHDmKUD1+MKwwH1YnVvWQYSlOqo8ELKEQxy1UwFKt9fjUAUj1rLPV i/NCyG14VK2RdbZGuK+mkyG8Nz+eAFdJi3gvQqsV7kuQFQNWgqpnAqpSRBFP EfAUAUgRkHSH8nwgdUyDgpwhNcRS9jsMi2MacVMHlbMmlzFknuM4UmIC/cCT OFJCkFJkjg1hcvYNhkg1li3cAxEiKGP8NAtjFaQCGcq7hXfUGCivJ5+3Edi8 1OV050HIZ26Nmt8JLufugJVlVYk/susDTBbpZZJicS1wMSV76WIELOwtAEhw KUBSiqcNlyEtKOe2unIJaxUwQUWlNRVUAh0KERRga/h4RPcxwAWs7ljAB0QZ PE0DPI3AAXFOvEwT7DH1Ns2PmytrwRZvR0RER1OQtIt76YCdopuxlvNeduH2 nhFxBZM41f+iK/OBczeD4kIeULycBQW9ik7R2CX1KuOXaZHFLYasyZu3Q0wj ZM28Hir/BheARY01rvU4wGf922HKAJ0NApN56qp59sVkYbOAnGDj9fCu8ldq LJrGs5wfBuHay3G16Ro3P/QFP3QbRP1FQNR/yPoXA0wxvEoJKwol4lXWqCE2 7Q+nTwE44lLKYIfoWiIgJwJsIuDFz8MRRwKDU6nW4ESfEgMyEbFi5+GIG6mn +2hgCtkg6WOjW4qdCMCBT7FqRYuoIbFP2wB3WW2rm7WtbvMbcn2PxB7EH4Cn F4K8D8jppyAfyKgbogeKR/FDDMVATwTYEDHy71EJQWMahnyVRjDjDxNDPjiN TZfEx2woOKx7ywub61Hx3IBnBs2j0LDwjkuYjQg4m65nFA3/Nhwm9VO3ntQf B+dAb/Dv9KNaQao2uNl2PqW7/ZSyiiaj1QmTgN31XFq8lXFLuk978O5BEtNL edj7otKu7yxNBvCcD+DAeVcbg8hodNyGhHHDarm8Azjmx6OKR0bYnkTEnmIj xJRE7OmssYYzw3rgzBvqqGdZXZ6lmwb7lpBUBpxLHcI/DHgwGXdUf5jUzF+7 6UWcjI1hz9JGLuFtfGfZdeN55uGOW8/NX4a58YOx8G7F4pWLWb8rgepbsx9j vEaotRZ2kBTzZaYyccnlbofVPVeI6qvkiQKVcMtVRz0EVD+sEpBm7rn2WKKh uw6euf5RvwkQrYFrYY3sXGx8TJ100+O0CFSLwDG5vsXWdFupBgOqClJUPUuL AClh4/PuBoimF8ycgr143LvDKAKCzHmnZBxCi8IwW9RHLmZ/oT/htMfUYSsF PTGFx558VW0KKcYU82DDkRuBZHWaOZaR16XVwLAlY8PyjENAU6iuWu9iYTk4 mEGnm3SmAntvg5CfBIT8YXDO5oBLJFqvYc1kDQTdWoCilH0rZZaWlnPNtByu t4IarhLIOELLKTDkQ23tqZpFkxq431rDA1arHqX/TepPqDXYM3AEGgBGBFxE AAQ6vsX5wgE3q/ONgAucs/l0OlBtErzbmY22Ixvt4JMYO55TX9P5vFoX7DR9 jbOvB12tvfDNwb8UJf3n1b/QxCkPwl7y5xmMoLtq9BK+hOPBMJGMSzowAQMc rrpUmISDnkLX33RoXZmFyJuDyFtHkZdxGrrTCHP6TuIOQxG4LkxsUZ6J1cnO 3ROmM99mc3aVGEkwzyXCfHiANQcTnei1FGUy3fQAZXbmATxA+UM63WS/DH+l hNcq2MNqOs8qFmqOqQOoPa5WB4M4q0c/fsPJgDewv1GZj2ouqN/Mlo5moT7o 3yKT3Aritz7j36VNiN/Oslg7qN8B6nci9HahXa6bnZw9S3K/XrZ09p4NkSTn oaT//HICFiZDaXk2GRYvMMIQ4tMeY7YjTHWEeY4xvZYozCD0anSYfSvB9JLm kvq9vZzsJuvWI//bwB/hgbj82/y1MEQb3v5FoPZCnnmPb42FFYHkflEWCzzN 1zKhEsOA4SCnQChISg0EZYdpdtsVcP+VynJDQDV3MFezabLGlHmNzX4tdZbP v9xc/UnGgKQBs28IwAsaHQUg/ZNKeAChGaKiBcdvttL9t51KZ6gdBwV2IG3r 5HJQ52kleRfLTN0QEz1cDupZ3jwZg9wRmI3VRpn0IbPhi8Gxy6xj0t04+TEm H4WBq8p0MatSFVFFZJx3Mi2qgbCYAeFnuQQ0t3QJqADAKFCNljPVTihuDXS/ zRQ/gD94+XdTP/5pnUsh8VqYzB/msfSwzeNDJHNSfsQlVMVRnc8IU4l2g0dI 56RaJhKTWXPckqdahnH47roTNGReYHMDvHUjF/Yan8jCvAn+upm92s1PK51b 6KdbsbQnE5m7K2mTKN5uSrpd/DX8dof5bJtO282uJMZ1fefYnIhA3g8BOIA6 ziB08xDD99BFziNMfbaxa5QHmIxeDo5b/m/sigvlCcTuSZ7+Mykxe0oNFe43 krvsDjB9pPbbRu1IJzBnStu8+RLtsDNMpSXSNpMejVcHouoxIlYstslbi0Sn FOwrg/st56OOK6zmWyHkq8AafSV+VCHMVjPLqT6uE6fs493VsSOpTphXr5bj zMn/NQgDMXGN7KpretL9grFP3TFVWAv9sMxe0iosxARattyFTdXdEFo9iKe9 fISqTNBSMeOTpbwrXMK7oTBfw6y8DQvpRtRyXrsbE8KBeOOitDhbE9xILXPG GQuz9obNGnJnUeozqtbDifnr3kp7jPeGybGetTVhNnhohfcNlApnyo7QoH7o /iqOZsFeyTYJsKfqGA0uEZs1a5hj1gpnau3QuTAJjyVf1JFpQzBr55kM7c8r AcKodbLTVkY46RI12+0mHo1j3QPt0gsu9HHXZSaqJf0Y6wGuO8qIc7wHWYwY YlgbEgc3rBac2OiVpU7MxjzCoMPvyVhPqClPIgy3CRsZaDQ3Cj9ms/a2BR/S R11eePs5e7jLHh3skHX6Krf86vcyrFgrLgxTIfabBop6QS8Q3PAETTwR2lKa EDWanw6BVJCbtJyiwf9guNuYt8Pn2JCj6MzicccSAdEFWMtwC1+7xQH1uAm6 e2Ey3n0wjHU/U9GBl7KvH6BPGsys+/rSFzF+mYZFDqgKGW7PBYhyG+7J193J TGFJbZo/0JEy81ZQlRpf3krHdtYOLNuFASxKy8W5ioDxf53GjUId2COGc8F2 OYuy5XAtFTwBuPJY+uZVkPPVbESvlpBQA2NIEJDLSNVKZK8zw+WYpfonbJae 1FmKMEvy+iaJC81q6mP0hu6kk5GpSlqfU2uDPa/z1Q6914EfnXy2eueZ9N66 XiQ/IAFAjh50n/XC9/RxevpfunkqBsX9gA5DPMZhCCFjmB28w5dtjoQXnKHR qzpNIgde9QNzJlkpmHyDvsf8D34WJlNvLqXTNBWiEIWv3BFQr0eu5arDzOQr 0P+rMFsxJiidmwhTA+9j7RFV3CdYDdFVQ7dfc1K9Ty0dft3jgRf1Oh+YDmTl zK1kVtI5eSYxr99yykmYmZII8wEW6YzAwCLWTmVeOCuwLqudyn93G3fM/Fgm TEq/cGQAhlLpoAuxQvVTl8yMLzFmJMZs+BSCL+aeclHqoMJUf0bnatpYsTWw QjuYdWk4X8H7W5m8qUwiLqwcJr6eg1/Bwa+UwccEVHnMlW9VfYK0UINWqoVW qqNWqntCKVH/RFoN41Q8RUMoftqlE6ahmdKpBSku/Rdf0Ibcp51eq13Gu0MN UeOMt6ZmkN+HQdaBRjhGl9MAhnnwlfDFA959P1sEnMd53L+MsXmlAoA9zvgn +dumMLy/pWPZGMD77fC3CGMYY/wiDF/EsRMYn8j6Tx83BS6HrY5dPfVUKg2Z U2EanyZyMXTELIcteP0WjForvX5bZieAq8tO8RpdZ2moS57zb9QLx96H4tCS ARMvcUmTvwKgkO4gwgC5nERsnOQzOCeXLjSbu5C/LQT+a6NBrjlg8Hcy/C8X v1tOSlccd6RVisOtosOtwhJY9Um/uOYxpbmMGWhex4SqTnAlw8XBErOOsrbT /h07zvAwahkBjELnWTWOBpQFB6OH7eU9F5Z+lz6HEhzrRXIXFo5bk0FKhi4r b4eRPA8zfxrJLHO4uHZwhUlZHzCkGiDXFoYn+3BBd49sh/uyfW6DQAFwaHyG 5gRrEt/VLNbClsIWeLBWbnxuFe/VBntBrf1MyuJl4xJjUBQiSbdE/h4uCPaQ YQKWpPclWkg0Qa5B5I9DyB9v/v5+b6PiwMZgdF1j4WHJ46/p7c+F4dADp3Kd YTjydQV8JY3tQjGBS+UJGiCDUyirecJ4jVCqJs3aIkAF5zAIUOphT6thOBsw jDKWaPIUUjWl51AmzcInDmYLw4EMqQ8oYMZw0HaGg6r2YkiyOxVjbhFG9A67 acFW0id46r8Ydsf6OFohfwTEG33VR2rM/jYTeKWLlbme28bVr2UcUiW8TRW8 dPXj2fGpfZIWGWJvMT4KNwwOPU4TUdb8bHauW3gse8tpHaHWF9QIuzMOu3bW rDoyx7L7kbjdgi9QsOclNWINw0Qa9vGxi6Bh/ytqA7BLiT/WbxgKZviqLnJO BjzpCSS5/sw43DxKX8/iSUYoqXqcBqVBf4xhqtFhAo68ZahAB+kZHaAGxK9G bspqfFZB1MTV92Y65uY087GnGxRyHDrPpdZ13uAQYQhQ3XlZB6GXg9DL3Aa4 6bMTs10hyEAkg5dpqPpcDs0Vw1eWsXEiAEi7EXODAUC/tWQYZAjky3MAInx5 8br43nVP26lVhZzprMNs4wy3QRC1n/Vp7tCvhrgNDnRxeaJL5hnz3f2SzR9y 6lfSue2HYxlgTWPw8s3uBP83dIWmIzAW5vu/6JcaCV/qbvzNP6NOpqn+VDBX YY3C8SbY82rNpHozJHgLKm2tZzz0tcNHduCLdJ73yrnMEfPvkXATul9XV7f4 Gd/IwK8Go1hL/VMrt2O3hIoTbqjh2eA/eCeng8W4F7hz4VLri2ptsLNeRhKX I2Pa5YaqUTd/vOxQ6rmYgU2EIZcftoVgOABD98L5govfvsXTWrjKOqKco/gs DRUXorxBbrpRzfbaFOIOk/ZzqXWcT3RXR4wbQmh5ZVnaMhiG8n69l5nbernf xE9fX2jKpLg+wRyvsxwrNUa5dv2ZqZWbLJShuyvcBoekRG9jXbiNZUI6bT/i ECBKy6w1phbhvsQVsGbbLLfT8mJGDkS4CwEWA23nhWXOsT+MRrl+5vxSdH/W +WjfMhhpJ9/Vn7vUvkzhoHDXF968NuMPOO1fDB/D8z1Y0Mm3RNMehqlZ32KA f9x0yvaXwjv/+zzv0hhupOO27/LlcFf5VoLyncdaE+6v77bv/NXMJP5671wW 7nn4tu9sD7rI5fKeTb46vMvkbd/l7jB+v5/nXe4L33KdXp9O5DfDF/tOnhf+ JHz8Rn3h4XB5vpPmfhwu366XHw2X5+Nmvr3gfx5udY++xbHwFst49Y08r/5h uIGDeumJ8EXvznP5H4cPO6qXPxY+7Ot5Lv9+ePdH9fInw+X5Nrp9L1z+pF7+ TLg8316Az+Z5i++EG3xO3+K58H3y4TDfW3wr3MWL+han8QcB9Pk8l98dPvFl vfzFcNP53v2r4d2v6OXnw+V3LrtBeJQvh8vf1MtfvuWQ4PIvhJu5rpdfuuXX x+WfDu/+gV5+JXzV3NJFiMLwxn+rV74W7oOv/5/6v3zN8//0v18J7/73mY9b Nnn/65/yq6thYP4+8x/Lrv07/dWr4dq/+/W/Qu6f/T/DnOqW\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{ RowBox[{"2", " ", "x", " ", "y"}], "+", RowBox[{"3", " ", "x"}], "-", RowBox[{"3", SuperscriptBox["x", "2"]}], "-", SuperscriptBox["y", "2"]}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "5"}], ",", "5"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "5"}], ",", "5"}], "}"}], ",", RowBox[{"Frame", "\[Rule]", "False"}], ",", RowBox[{"Axes", "\[Rule]", "True"}]}], "]"}]], "Input", CellChangeTimes->{{3.517271316295963*^9, 3.517271396558104*^9}, { 3.517271455697808*^9, 3.5172714593950143`*^9}, {3.5311879086494803`*^9, 3.531187910724284*^9}, {3.5311879869744215`*^9, 3.5311879877856226`*^9}}], Cell[BoxData[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJyFfQVYFc33P933cgO7C7tb0V0VuxPzRbG7uxMLC7tb7C6MHREFCwsbUURA QJQGAeGP9/qZ/e65P5//+/I84+fO7OycmTNnzpw5c7aM18Qewy3MzMwKqczM /qTG/1wY0vabyuf/aTkub/jBieMr4z/k/9lw3M5Q3pzjS4b8dAn4vAFHc2xM g92AbxnzBWB/4/McdzTWLwJfN76f44rG9nHcwdh+jv+mFHM6aQp6gUEvMOgF Br3AoFfZj8FuwKAXGPQCg15g0AsMeoFBLxk3ik3oAqYp6AUGvcCgFxj0Kvkk 2A0Y9AKDXmDQCwx6gUEvMOglfEmxybhRuoBpCnqBQS8w6FXOg2A3YNALDHqB QS8w6AUGvcCgl8w7ik34ko4bpQuYpqAXGPQq53mwGzDoBQa9wKAXGPQCg15g 0EvkCsUm847yJR03ShcwTUGvUo4FuwGDXmDQCwx6gUEvMOgFBr1EblJsIlfo vKN8SceN0gVMU9ALDHqBQS8w6AUGvcCgFxj0knWBYhO5SeUKnXeUL+m4UbqA aapcj4LdlOtRsJtyPQp2U65HwW7K9SjYTbke8XWPYpN1gcpNKlfovKN8SceN 0gVMU9ALDHqBQS8w6AUGvWRdp9hk3aPrApWbVK7QeUf5ko4bpQuYpqAXGPQC g15g0Ev0FopN1nW67tF1gcpNKlfovKN8SceN0gVMU9ALDHqBQS/Ryyg20Vvo uk7XPbouULlJ5Qqdd5Qv6bhRuoBpCnqBQS/ROyk20cuo3kLXdbru0XWByk0q V+i8o3xJx43SBUxT0Ev0aopN9E6ql1G9ha7rdN2j6wKVm1Su0HlH+ZKOG6UL mKag91/7COV6ZKJ3muhpVI+h6zxdB8m6YCJHqZyh85DyKR1HSidNyxrK5/zV K3QM+IOBMGfWxvB8kgk2vPaKPcd5hv8s2UlDxmuOkY96kU8xyt01YgEY+UiR TzHSTsbnhH/9/q+0krE9/0yNe2crEXiSkX4RvwMjP9zYXzyf4grG/hbR70jB f3Q88Dv6BfnAyEe/IB8Y+fS9Sr6W24HxBv8Coz5g9C8w2gv+wPPAeB4YzwNj foB/kA+MfLwH+cAYT2W/Bbuhn5Cv7LdgN7QL+cCYj3gPMOUbynf4HeWBMZ+B UR58gXqAUR4Y5cFvKA+M8sCQF7Q8+BHlgVEeGPwCDP7A75SvUD8w6ARG/TQf fIh2Ih90Ix+/05TyMdql3CfqyD7KlA6k4GeUBwa/0HzwL/IpBv8Cgz/BHxSD P4HBjxgv9DPy0U/A6Ef0Cx0//I760A9YT2i/AqMd6Fdg9AP4k2LQjXYD/2te 0XlH6abziOaDz5BPMejcZ0jvS2MN/fVLAi5pKPdd6mp4LkKgGOWAkVoa6Eo1 ST8Z+j9PeGp8TmhlLC8Bo74qxvfwcsA0nWxsL68f+F+pq+E5CxF4s4ER7ES8 B+OI+tBPeB+eNzS7vZ4hRb8B/zbweYoJxrz6+zuvB3SjHDD6B3wCjH6mGHSA b4CRDzqQD4x89AvygcFXtL/RH8gHxjijf0l/8Xxg47y0Fkm/8BRywZDk66GQ C8BK/c2J6AcyvmLkd46hp2LcgTF/MD/AB9ArIWeAkQ89E/nAVA5hnI3yU8P5 w/h+R94etBfj/N7YTxy/M/Yjly+QRxh31ItxM7ZLLWKcKL5meE7W/yl/43fI AeSjP//v8mrC/2r+vHF8LDg9wGg/ylE+RQq6kQ9M5RDygZGPcUY+xeBT9B8w 6gHfIp9iY32OnN+B0d/AKB9m5AdeHhjlKcb8wPPA4EdglAf/gT+Rj/Ey8puW jxcwxgEYz1F+oONrLGfHxxcY8o1iOv5oF8aDrg9EbvD1HCmVs2hv+b/rP+QH 8kEf5hGtl/I35q9yf6Dh9ANjPuN96A/kK/Ur+XkqDyDP8DzylXZvR/485AXy gdGPwJg3kDfof+Rj/QFG/ZA/qB8Y9VP5BPmK+pGP+ikGH2K+AmOeot/BD8jH +kXLo50oj35EeWC0F/oS3o95hPLAkAdY77AeAuP9WC9QHvJXub9R8/kPjHYA Uz0C5SG/UR4Y+eBjzBtg6LVYr1AvnifzXVSeM2n5fAB/gz+AlfYfKv+d+PqN /QEw+BHjBnmhlEc2ZD9jQeaPOed3YKxXNKX6PLWzgC/pvhXjB0zXGbqvxfgA 03WF2lmo3o7ySJX7V2vOX9BfUB9SJT9Zcf7A88r2yesX+Bf6DFK8Bxj14HnU R9c3qh9hf4b6gFEfnqf7crRLuf925HwLvjLKV2d+7gsMuUPlOZ6DHIH8A38i RXlglKfyEXwGOYNy1M6H8sAoT/cD4DfIU5qC/6hdB88D030W+ALjADkHeaZc 710Y+mm8cRx5/wKjH7A+4f2oB/MTKfKBIW9BDzCdZ+Ar5NP5QecZ+ES5b3bk 8xL8ifLgP5QHBn+D36CPQV6Cv1Ef+hHyFeMKeao815b1BchPpf1czddTyEf0 HzDyIR+RTzHVtzA+6E+KMT7gQ/ALxgPzFuWpvgY9jMpJpX7tzPsV8xvtBD8p 9992HFN9Bb8D0/02+gnvB/7XPgDzAnRhXIGxXoOvMN5K/dGZKfeDzuytIU2T Jhh+kNdLzDPwA3CWIY38S78lo+uIcv9nJW41lMv8ax+T5T/4FHQBG9sNe6gD WS+cRWU/OPPyht91Gk4vxhv0AoNew2MNdJxeyA/QCwx6jXxrz5T1OzFqd6Z2 ZGoHousi8mk/YJ3BOGN8Nxj7k4/XKEMay8fD2C9pvL8/GrAZ70+MF/gD+eg/ 1I/+Qf2gH/MH7YKcwXxBvUjp7+gvrBNKe3SwG/qJzge6XlA7PtWTUf5f50aQ H6BDOZ+cTVKlvUXN6UF/Ih/9g/oxz8B/0FOBIXeRol+UdvhgN2D0C+hEP6Cd SvnnLCr7TS3iPZCLVO+m44b2Y/01Yg1/Hr+jXsgJzA+6ziKlegP1m6DjgfUN KdqJ9in7GeuMmmG8kY/6gCmdGBfMf/wOjHEARnmq9wHTFPwOjPYAoz3KftT9 c9+CdtBzYWC0FxjvA8b76DknPXek54jA3sYfeIr66bkoPbek55D0XJGeu/3r 3JGeg+F96Ge8Dxjvo+NAz5HpORqtj/IB7ed/nUOjfZQvgUEf3af8i4/xfspH dBz+xfeUD6BnQh5QPYXaOZX2NvmcAnKC2vHxHPoT+cB0H4Fxx3vwPOQI3VfQ cwm6T6bnDHRfbGMo91VoZvj9uRRj7GCOIwzlfgr4fZpxffxbT7YAfYemyMf6 angsQdZHDGQd1v+d18kcQ38BRvto/aAL5f6m4itje/nztQz/CBOgJ+B5K0O9 uZwezGc8B7mL8cU6hn5FP4N/IJ8xHshHv/U29icfL+X8tWDQt9EOPIf6qdxG e9C/aLfCjzkfK+07ei53qJxCff+SK/+SM/+a5xRj3aTnxMjH+8n6R/zAdDwf 5cl6zuc51TuwPivXPSdOL34HpnLu/6bXibefyiVg8BGVQ3Q9NeoTNrx9wJBv wP+S68hH+/Ac9GqUR3/S9uJ5tBf5aC/y0V5q56HrNfLRPirnUY6uA2gPMN5P /cion9i//ILwHmD0D8oDUz9J5KO/aPuo3x1tL/VrovoG9U+nfnDU74P6LVG9 ma57KE/9KvB+rCd4H7CSb2U/EupXh3yMH/KV8z3YDe1R+mm4mLTn/zcPqd8V tVNRvxSqL+H9wNQ/nso96m+tzDeVGyiP8aHtp/nAoIfqB8pzOOd/+lWBHqW/ u85EbmGfgfYAoz1Un0N7gKnfFvWzwvPoT7ouUP9m2j7ko31ULtB5i/Jo37/s 3OA32h7lOuRkop9CDlA5hfbRfCo3qD5K5wnKoxz196brJPUfpvotlet0X0X1 X7ovwvNon9KP08lk34h+xbpA17V/yUW0h+YDE39Tk3lL5cjfdZ/v843ttfir l9txfY36cYN+6FdI0f/KdU8+l4ceV9iQHyZBvwQ2zptkru9RPwr8Dr0aKfRR jDf0GUN3Juh4qtQXiL8O11thf9YRfwA9XzeAQRfKg27kQ7/C+/6+R0R7UM74 XjW/NwQ+wf7GiDUMei36C3o56IccA8Z70Y4w43tF0Kvop/z3Kf1D4D+bLMDu B/0b7wcdqA/2P2DkY94p8CJZ/0Y7ML7YVyjOaw/rOX9inoB+tA/1G/IbmI47 +FRp/07i6xRdByDHqVxGeeU9Gh25Z6Jj1G+JroOYV+h/pf7vZCJnqVxBe9Ef aB/kCuql+iS910PlNPLxfmC8X3mfVWdy3xNyCfT9y08O74W+hfZT/Yven8Q8 RPup/kbnMZ1XwOg3qv/Qey3UD4XqU/TeGuQV+IHqR1R/oPfJ/uWXjfbS+1lU //gXX6L9VD+g95voeo1+QHvpfSG6XiMf8015/0i+r0P5CuP2r30e+AsYchP1 Qn5RO7Hy3C+N222o3ZTyNc6HIZ/QX8DIV64n2VxeQd4SOWiyHkBeAeP9kPfo 1wnGclx+K/br+Rh8h/KQo7BHga+B0S/gN/QL7E9Kv+9sno9+Bv2Y1+hfrOtY LzCuoIfaabDO4nnY19B+5KN/lf2pNllHIW+JvkPOo/XcPoD2Y33Beot5i3z0 L/LRXpwrKv3EXP51bmIybuATeq+F+rGjH4ExP/A+2MHwHowT+gH2O4wP8iFf kK88B0zj+eBb8Cf4Fin9PdfQv7/5fED9xO+L9w/Kgc+pXyXowO/QF8BPGF9g 6qdB/ZTA16AX/QGM+jFfgFEvnoe+BYz6lXYeDecvyDG0E+OK+qF3ob/IPRz2 Dz1OVPKvMzP6GZgZ8x/I+iPmMTD4Ae1AuxT+ALK+KoIe5TyA356a4TwO+VgH gJV6kZopz+f4eSHnP8gBYz9k/O2X33w/oFyPM4xycoaez3fwLfYzdH4gH+NG 6UJ54r/F6cTzyFeMk3w+wui5KvJRXnleoebtxbxW+kur+fuQj/qA8T7j++14 vyJfKZfsmNJf247Tr/S3VfN1D/0FjP4AH6J9yEf7gNE+ck+F51O/FPQbvcdC /ZJRHv1F/aL/5ecPesk5lUjvNWD+g15g0Ef5DuOK9mJc0Z90XVHyqR3PB33U Twz56C+sDxg3lEc/YJwhX7CPxnigPNpP7xehn9B/yMe40Hs0yuft+LwBPZRP UD/Gic4zJV/rOd+DXtQHelEe40jnMT0nofJI6X9sx/PJesv7A/loD/LRP2gv +IbW91ceiET/JPPQheobItFv+DhiPaN+quhPpX1KwzHkq4I/E0ztKwp5liDb P4YY/nFH8DIUfPe339OFKQaca+R/phMhr437jr/3t3RmonKeuHC9ABjzB+OG 9QL8j/5BvmEch/3dP7/Qs+2Gf3wTnAz5j6UvhvJRf/cJWUIhwwuPCrWNdPyV P3/3BzoNp9/8TzMWaXm9V/+UK6YXsb6iPRiX9kZ+4uNI1z3QpeQrJ75+IwW9 yvgzjibzi663lJ+I/mUst0hrYldWrod2XG9WnrPJejTd50IuIB/PK/3qZb99 6E/K8ysLnu9hKH+Up9QOS+cZ3qfcz2u5nQ39rNw3qHk+9snKuAWOolI/dzG5 56Sk24nYkdS8X43tkc8h0c9KeetEznnVXP7heaV/qh3RC8yJXcmC50NfB18r 4k3kY+V9OB2DXkb9ARTnrPn7AMxb6J2wHwJjvIzvzzTyQTE9byf4E3xP/QMg 98i6ICr7QS9SPzvME/Qjxhf5ynstar4OIJ/OK8glzBfIQTqOmJfgP8xD8Akw PSdBezBu1C6D9iAf9SvloAXBTuTeqXxPC/UjH/VTP3tqF6fzTekfpiH36pzI PVdHRvUp6oeutCvIfuaYj8D03izopn6YyKd+mqCPzGc+TqBP6dehYXS+K+2u jjwf8xX5lA/At0q/fTWj+hQwPaeHvgG+o/eEwU/k3hW3D4Je9CvoVZ73acg+ xJzno7+V+yK1yb6E8jUw7JGYx+AD8AXohb5C9gXcTxl6CfyzIc9gH8R4Qx+m /k7Yj0MPgryD3Ic8Q3nUC30i1fDelxL0DWN+NucvrLvQH/6mHP/Vjzg90DeM z8t2NayD0FtQHvIXGP2FeYJxVPpdav65j8c8pHZd5GN9wDji+X/s8xndv4Iv qN6NfMhX1E/1bJQHRnmql+O9VC+HfoH3AyOf2IFN9q/Ix/vofpX6QdJ8pT+L xuReLb2nqxxHZ5N7rHR/CIxxA/9jftP9H+Qj2kfudZvsb5XnarIdA/KQ7n+V /iCyHyjoBca4AaM85B/oB6Z2E/AB3a/+K+4A6Id8RP8o9TUt0ddkuxAw3T8r /TfkeUbtKGg/lbfKeSXrKdTu8695Akz1CvDVv+xUoJ/KAaJnmezPkY/+pvtd 6h+BeYT2Enu5iR1aMc//5xwFegTKQ14CK/UQHaPn2rD7Aiv2Sf9zP1+5zmfw /S2w0j7syNuvPJeT7YdoD103lf5hamI/VJvsC5TnampSvwU5b7Yg8tvCZJ+A dtJ71DQOgzKuiZboQzqi//ybbvQr+tmYqri/ATDGBxjrKrWbU7mFdRpYGQfU tJ1U76PzmsSz4POclsc8Vp7/a0j8dDpeOO+H3UpF/JrUZPycmO+ffzzQiIp+ y28H5ALo2vR3vQQ2pnJcauU5qQXfryj5wsZkH4v6lOeqFiYp8um5CfgT9UEu 4v3Yz9H9Euqlein6z1ifObH7WZjsk9F/KP93XLnchNzB88DK+N5aE/9Z5IMf IPfBD9SuR+LYiCTOjai8l2tD9mN2JvspKgeVcS1lPyT0HzA9p6d+++hP5f7M RST6g0jOYbj/JfiTzjtFXM1FWgZ7JvVrwThQOxO9B62M06nmfIT+ovFtMW7o d2qfpvF1/yXn0X7wIeYp+Bp8Rflaaf+W5wH4CvMEeii1f1O5QvVqOg9ovFes A5SPgGn8WfQz6P0rrzkGX4D+f9hROL3Ip37l9JwI/ABM/YjovCF2DG7Xo3ys bJ/M93ReUDsvtQtC7kLPAf3ASvrVXE4jRXlglMM44nelvHbiGOUxzuhPGndM 6W8vxy0Bn1E/I6VfrDwv8F7qPwWMdqOf0I80LgEw+A78jXMreg4MrLA75esH yvtV8j0w8AnaAYxzcdgNUC8w6ADGPgjyBe2DvMJ7gWFXgH4IDPllbG8KPw/5 O4+I/iNjw2PFuL2A3xcD/cB4bowhI5Wfl+M+GcoDo7zRXzOFl8f7DD+/kNuB eY7ngFHeUP9prTI+FX9fBrf/AqMerBPK/kzn/QNM4xRh/oH/oW8p7RvOJvsq ei5G7xGjXXQ+Ks/x1FxfAv9jXuB3mmLe0X0a3g+M99D5Su1+wFgHlPdO1Twf GPMX76Nx9Kg9l9pvqf5B7bGYN5Df1F5Bz++ofZbaI6j9ldpbqX2VxommcRSV caXVIo1TCP5S9ptsT6X2AHo/gtrVqL2UyjuUV/opyPtpel6LcpBfND4P5BS9 l4pxAIb8UsbVSON+Tsp7sdl8vwv7JjDOU418lM7lh3H+J3EMeoAxzko/xWTu rwQ9EhjyBM8r/Tzk+BSQN4r4dgk6Eh9D9h+CXoNxAMZ4A8POaoAPNCb3hqhd SrkfcCT2DDsTOaH0W7DjeiUw8vE+pR3HhutVKK+8n2Bjss9Du6ieCfwvPZPq ocp7SGqT+38oj/bQOIf0vh+NU0rjDNLvNCjv+6lN5pFyfrgQ/URP4hTpGLWb Y16h32mcQeRDX0L9NM4v+pf6cSjjYriI5F4Kpw/vg15K9VS6joJe6n+k/L6L I8fgQxoXkN6nw7xEfcrvpzhyjHGkcQTJfs3k/hu1oyAf9NPvaijjuqhN4oUA 0zjb6F8aB5jab5XfD3HkmNolwGf0+x10Habnrngv4Utu78T5lvEDTY+Fp4b3 fpJijKmM/8p7yHXwGTCeN9Kb+NdP9Ae3Z0K/g7zE+AAbHiv2V99jOpN7YGgn 2k3pUJxrLdKS+/ZOTLmfUpvYLZT3peR7pWi/ESdxfRHtBV24j4TfjeMVz9cT lCPt5xjPGX63l7GBL4bJ948w/tArIFeU99FNzxXouYPyuz1a4ieiM7nnQv0I sb7ScxL0H7VLKO8fyX7GNI4mjXtF4y5jPcD76D1Hun+E/MR7adxMGqcX8hDy j8b1UN4HTuP8D34BRj6ND0Xj8qFeGkeVxu0DPdCn6D0p9BPy0a/AyKf2LqVf ibmJf+b/HddH9uul94HQbpQHXRgX5GOdBaZ2AnpuCnroOSu9P0TPl/7OOy7f 6fk13afhOfAnMPgP+hr0SfghYdyA4Y+Ic3z4R2E+4j4KsJG+bC4/jPLkN9nP 5nCM8UH7qN0Y/vuQh8CQN9AHKEZ5Q/0v/vrrn5Yx5BMwfR/6B/wPeYlxxbjT fQnWF8xX+CEgBf9DLoH/ML/od2CUemYS5396Xq04d1mE+67mJno68o3tVvF1 n8ZRpXY/lKN+ihh/9L/S/0r2e8P6qODTBDm+G+VT8DHqoXwNPkY+MPZtOMcE xryC/wn8URDvB+0Bpus65h9+B8a6qOQjG24PoX4W1G5B7/Er989qk99RP/qL 3kugdk7IJfQfvYeinHeOJn7k0E/+5ceN52kcVBpXHpjGMUV91B+D+nvRexlK vcGCY8hf6r8A/sX76b2Ff9l9MJ9pnHsazw3n5Jj3wJinyjjQsl8Vfqd+VvQ7 Lli/8T7YOfA+YIV/+CLZPwDjC3429ous/4BvaJwR6nfyr7gewNSvBPKYrrcY R7wHGONA/fSBMR6wNwODv+BvD30f9GHe0HsliAuK/lLYL3AvYpjsn491EfZq YPQL1knYf6hfCt0nKc9jHU3uVSi/U+hIzmNlPxfoBagfGPVjXUP9yKfnSKif 3puDvRkY9ULOQY4r+CxfviDfyIdOPB8p8jE++J3G88Y6iHaCvzCfsf4ov8+i 5f4syAfGvMA8RT4w8jHf8BzmGzDWSfAj5g/9XpHyvmQSx0o/MDk+nzKeRRLf vyn84hJ03H5ooLeY7HekPEdSc/9HzCdg9DPGga471O9KGTdGxtRPidr7lft4 O26/wnupHZfGIVb6+zmbxB0GBr9AXqM+YNSn9J+T436gPmAqB6mco98Vot+B oXGY8X6qTwFTOx31O6f3erGe0O9ooZ+p3x/0AXreQddB6s9OznUZtd/ROMfK eMNynG1gRdy+w3K8cchZQzEm23Ugn4Exv/FeyA3o2ZD/Sj1DvkeI/oB+oeQ3 CxN/evQvvVcJfQF0wU/Z8Nj/7C9g/wCGvME+G3IH7QNW+oU7cb3dSI+KY7p+ oDzsSSgPTNcP7LuU9cmYrh8or6xPxnQfhfUDGOsH9g8YX2CMryKO7v/co6EY /IN9FeQz9H3cv/tXHG1gjDu9F43+xHvRf+APas8n9wdE4g/L7avU7o52Y14A Y94ROzhfr1AemM5btB/8roxXI39ngH53AfwOPQ/8rrwnJN+DR4pxNtSv03D9 6m87+fzAeGG9g/6E++2QI1T+0u/w0u8KKe+RuyjbBb+BBzh3VPP7EcA0TrIy 7q4cl4DemwC/4L3gFyrngOl3zVA/9q2Yf9BT0T7MZ6WfsTy/UV6pz6rIfXcV kSeWvH7MZ+W+05zIE0teP/KV52nmfF2m+yZg6E3oD5QHRjnYW7D+Kb8zEOym uNfC45trOP9hvDFetH8xL5T3StS8fzBPFPdcYf/FOcADjXKcdTJGezA/QQfG W3l+nMz5jX5X9V96IzDqRT+iPqwz9B4P5ATar7QfuHD7HMpB7lN5RNuL94Ne jA8dd9SPeUG/y/qv75BSPRv5eB/kJrDy/pwch5bYNch+VOZH+l1PtE+p52qJ /4p8vyp1xU6Xvkf0LPB3zzINwuT7zw2OaAcubKgm+yNz9m5WvYXnknCu6iJG HHVoOeKzho3S57m1+aqS4/2GHK5R5ZwNtwv1cavSkDVW8XpK+3v/ODBX9hPF unPAZ1xCqY02zN5r2+yTc2U/pGobo8t+7yvHu4Xcj6kXduuUzowNfxu44WR/ Cz5OuV17hQ3ylf1E5zdpat5hthz/1ZDMWc+/Y8DPJdt+Kj5/6lfp+rv5rb/f lP1x7dvVcy/4TvbHfVPwTPdLZ23JOZex3ropRZq9aOIT/XabfP8b/VCmm+uZ aRMTBbGn2rr5pCzOL5u8R1ROGS/7v25/dXHRvfoq3i+Xi20oPWOHLcdpeeUv xKllP/MKh0MnNPhly/GDNpF+l0rJ/qLe049WCGp5R1L6kzox+9DAiRo/rVg1 aMDB6Zf1YslHwUeLT9SylBW/HD9OtRHn9bo1JLelLbvR+/fGowNU7NPe9Vd+ Jpizb+2LJ1/arGV1Ovn3z9yVKbmrWkRk9rMRl/78869vRvlXZ4Yb0iWPAsq/ mK8Rn79ttNbqbaBkt6T0nz82o3jQ5OJBEcK3/kVDNpxRsfQBPVWukrV4ZNzk Lodr2LFHE1qXarjSWkz2qOFdc6GKRa5+XajUGY2YrbM5F+SfI+1sOjFo1G4d 6/H81NDnp7KlwsceuRx7pGPnuh0qFrsqWag/7fM4XZvnQok5ia7FY18IDbqW Ou1aJlkIrOFjoS3+QWowvHO/nq917FeR7a2jB7+SPBcc3ZV0XMfqLfVsuTVO J9Y1puzk+iV9j1jpWWqZYwcaVtawGnEr7A+k6ljQtGVa2+Nq1qGI+bFK5T4L /m0rH1vVWcOqqztd3FnjHJcDiwz9GMPtMW/rV79xdHgGx+sdt1V61lfHNhhT 7hfwzbbY+mjn19L8h3deBHnJ37OelsAGNq2Vwc/LUrJv/8z/M9mvrzk3s5Pq +y2ur+zapxkZVTFVqBryM+FocT37Nedgg4PT9WzJqe61zKv+kt68/WlRwzUf R/eOOZcYIfStvbfk426/hLNHzrwv8S2Dy/+2SRdtYzfFSz4/v27RjNazx00m 1euZniAFf3EPPZJfX+K7MpOGFvkuXDlXJOp1RqCUvTos5IX3/3xvMyu00eii 8ndHfJo8GOahlePR4/eHQpU8vxyd+MhqaPXLYXI8pcCBQ87U8kgVnrwd8r3W jM/CgJAFUyvcdhZH3lr1VjtGJ7rtruoouMvnoOXubQj7nnyQ98OCyOJlu2de E3o+37Zp6M1IwSY8aNXW+CChePU3P5t3+S58XTpi3rO1lmylR7ckhyoO7Ev7 EVbdFq7hcv74s6QyMcVkvWlETuiyCunOYu/JNnXaRalFu0zt8+vllnO9fUpg 7qlXKz+axL1LLNHTcm5QplB+e4tZYc3l76Ngf96wTMjDriv14u5DE9fdbqxm qqj6m990y18Po2tUHX05n749u21Kl1Ozzx3HPBn62IK5/67oEXVPxS4syTv4 q429WPK/K5pXv9XsbasnT8dGq8WIyuoY8zRn5jOwR9HoNs7iamPKwtMyN137 pBUv1+iWN3a0ho0Rywg7+uvE4UfWaDxy1WzrUKdrVW/lzzPNyc37nRyYS7+5 n6Zc1DGfG18zvKfZsyHnNa0v1FazmM96q8/JDuxjUXXXUbusxLbpgTdb9XBg 5oXMSgXl83ebYeUdraZa/R1f0zT37zo33z+n3DSL38KJRpcXFmhkxfrN39Nb W8VZXNb42fIjraxY3OSzC/t4OIuON1oc3hdryRxr7ny4dln+fK2XeHFWMSv2 4eMEp4k+OnFs5etPO6Zbsn67n/8YEq9lnXM2Z0dVz5Mix4zd3+u6Jes/9Ubk vlK/pdpJQ/cU0VuyL2cHqj1zk6Vpc7ZXPvzESqzi3Xv3eylZqj/iwq7Vw9Xi t4gBvlMr/ZBa/fcu63hBnfismV2iWp8iWdZw7ZPoqRNvV5jmXHNAojQk1aL9 LDs9C5p64FN6YoiUpLV4GiZq2A+Hbu5nZzyWdHULnas5y4G9qBL+wDk6TPoy fIz3iAoOzKqoEOsy8qV0fU5U7+6OGrGL173Gj8uGSeFLfDee/U/Hxtr/XBF6 4KWwWCzQ+1BtZ5bqX2jZ86xQYeS+F2/rfrJjm3yuO9cu+UzoOc8v4KC5g3hq RBfnustDhZ6rA70K5cvLYt2THQJzEoWrnepvvX04R4rYEuRv2zBJaND945NH zjqx+PADYY3r/xDS21Vr1L2zTrTzvZk1uVGyMP+J9+4V4Tp2t+FN955DsoXi Pc6xD5d0zGa8wxbf4r+FQcXjr2yqqGFRnYa2d+2dK4ye+FJb7YYDKz350bi4 nbnC2gpi4V5ZVswpV5u6f0+WUKDSrislx1qx3juCN64Y9VsY3Fbw06ToxCbd wgtUdc4WnmwcN+LmeTVLfZ+72trdUizwe4cqrIA9O1Emcp+Zp6Wof5oR+t9/ ydLovbGto3dbiTcKTz559qJa/DTE8llma0vx/PTV7drEqsWaLSI3TVpmJY4c t7r5zPx1IW7z/cYL3e3FhVM67JidL+dda1T0cIuyF6s3P7n6pZuG/dy/79ij AAdxbmxu7t3mudKeqgnvC/s4iGnvfX8k7nMW+17d0P/AMnvx2cKKHbbl72Ne GNP89jjurjPLni09EWCvruksTvg9sHzoVUvW6dLDvNUVnMWElFsuU1LeSwVG nO96JU4tbt6+0OHntTdSU7cv1iNXOYtXL/rV62CmYRPLLIu/+kEnzj5lPmxb gWTpwvr2Y1eH6MRR/Xb0mH/qi3R6TdHaFQvrWcXPI0sUddKzNtldut05oWGr tg7vt3X4O5Pvq9j+ER8XAyTd+RL+Vc7IfvVTnQ4M3n+fyfrJqLeLY1bLfhgd a7h1WVjhmJAQo39yK/2l1MVnXcXTfpuE2sKTAUtrPZCqL14d/mJ0vh5TvmXP BI9jwqQqE3oNzcngae0FN0J9kzKE7Ievu17enylY99+f/5chfBz45NXAJ9mC fu6PrpEvMoQH3x7YdD+TJZRJ7752hyZZWjXfZajrMtnf9Pv5sfvvzNezn00D 43VneCr+drIqsem2nm0p1Hr6ptV68dfL+t/HdUuUKoQui62+QM88C468NPft e8F36ayGVcLSuH+U44qWDisC9GK4T8fN2a4pfD1YauiP/ULzTkEndgSECo0N 9HsLu2pJJ+91DhbCi7e7FBD9jK+3iUM6VHJsY8lcToZ16vVW9mvc9fqCVKq1 ni2e3td7et8Ybu8YueVydGrLZ/xcHO/9o7UMfa5habFbO/d2zxY8Jr+s8bi5 jn1T7Wo4LtxKLPTMU1xormfF6qe1q1jAUfw1vbZuYgs9mxk5u3ZwZQesF6xg zyEeK3trxMfMTZ1eS88mtNp5/+hN+Xsj8650mrXkrHz/P/7FtG2B4XLc1gFv Cx0c45YiTFtQa2dQgAMb2njH5tRqllxPhB25oKrd2qU9ZX/Y/umL3lmOsGUN p1YfK7j94nou9JrMpv2qT1xrxc+XAq8/rVG6gT1bc75K9vCOpt/vuDX62dym R+xZk5I2M8xLy3HfsS4uGdf/Ue4CO9am5fTGGRfk+AFHPlU0L/rATqxnNdm3 uc6SFXdpHuR520Gc5b//TfcDudL7aYVXFnxlIb6sc7feDLcsaejpk+83SZYm cTmmWT4M3PIjTbrs3m/NC3dHk3tNM+q7vrDcki29qbAzxtVWaxLnnYVc6zeq R7akKt9sgUeYnuazRbf31/zmmCydz75xqn+SHE+gROk6J9eayXzkaX6sZZea ziZxNuoH7OkVsOer1Pllvfy/fH3doEh/lrqr391oJ8nfv8D4CBdWV3/4K0BY OHVoYqtc0+9hVL6f9axvKX8puub0A1dG2ok3y+4+vi4wWDq4eN+9D2by9y7q PH8+4eA02Z/13rU+P4P250r0exON0uonux9LEX6ld7vSY6Acn6DLtUJlN7Uz 9W8dVa90bXWXBKGgu9O9qGDZ7lTZ46x9Rv5+kX7vIqv/WteUM2nCyuJ+/bVx WvbwaNVxG85aiEevrD7R28fZJG538+Frppadbi7GH2qgs7FwMPH7/jmwpn7/ J3PR2H8WrKcxFcf3DGk0v43s73o7t1L93KOmccY9nDYntulpKVq1Hb7q1Uc5 fsC6p2xZ9V/fpVr3e5346GUnzorS197V0fQ7xd2rCvkanq34ocaXy4MCZf9V oY7j4Ww3PVsVWDPBZ4hGvP1swaKfmXK8gYRPGyZ3OetsEhfpUwfXjx1cVaLP EK9Stc458PxfyXnbxSx5HtZ95bVyuGeWFJ3TW9W6l+wnn3um8hJprEa80OC2 u/d0OX5Atfk7J3eKkr/XYPG4v2+FlXL8gA8XPnxKtHVkYZcOf3zZRC/aPvz+ Ju20afyAHu99Fm2eoRfzLmfFqVfL31fotFJ66dHCgc/zevunfS+rkuPpPfe8 ZVXJPpfPs3aD97TLDX8i5LrcUNlpZf/b4YZ9oF48WPq0z8wxevH+aOECy9Ey dv1Rh/6nLVmNLUuu1R9mz1ptK12kVIwlm/Laf0+XVBt2s4eXy87fziLSVq7n 1wUlOovb3i/5aR+pEXdc63fnS6qWnX330PtsTb0YXPH6Fd+vWnY43HVThx56 sfvv3edWzEwWsry6zl55/ZmwaGRC/fk1Hghbg/pYqSomCL3X1XzWb36I0FSd da9XrUTBPT4rITR//4UUciDx0ZL8P/l7B7bdI/P/tOzoYK+cT0Xk+NPYB2Uv lyLbNNWxwjUuvI+9IvsHZBw72vtjtI49tLmxYnJTFbdTBNRyulvLyZkVPNW8 wKnmUfyc8dcRz6wjnv6CS9Pz+qbnP3C7hFnNY5+jXHKFPmcGXp8SJX+/4EWL Ng1e5+j4/upW7pdhmtnJwjHt1rlFh8jfIzi9tInf0iafJenD1Ymfbt/i5x99 Rmhy3uj1bHm3QZ/C+8nfG7DJtqw1tZl8P2R2w22Tkifo2dXIzbruB+TvRV/7 kDDjxsdUocOD6pWvVzAThwY1Nr9TRM+iHsa1fe6gYx/PbNHvjXUWXVv4D6yl VvF7Qz82Vw9ZFSrP4yo2HWYdOq5nnUc82Flmuuyfy9erw+HqhpY6lpm+9H3d GDkOwjDfzEo7tIkm383pEG7RKdzCiZ1b0qXm0q6yHEJ/HioT0/zGIjv24+zn 72c/p/LzPszrQjPOr+zVz5yvy/Nz6jcdo82SlubZ7pn2UI7f72T3cEO9GhYm 8fs7ra+wt3RaojR9XuWhMyrK8R5+3j8VXfOOHJ+/pGWa/7jntlyej9kx2iu8 leyPm9Oy9P3RN0zj6U8a/ee/JL6P9Sg0aNrz1j8F1jzLJWqOHF9/ctyNOe0c nEz8a13dfUq5++QJjz2+DO1eM5OfdwU8HBl2tK6pP+zcUhX7n/lkLSaXsLbJ 7GYaH/9CvZi2Oc3k+PgPJ/8xKDmKq+YObGhlEcf9XT19Cr3tXl/2Z/3R3H1H 7A/5e7D3B7yL2bDTjMujLP3FjsdTGF93+li+/bQ4VsX1nhN3C+0LcVKzNV1H 2ryK0LIpfkVZrlrN5hcJ6fPjpZY9i53wKvRNqhA33CK1aegXYeBMv3EXq6YJ jgtXf7RZ9lWw3D/K/eGBPMm8UtGNU75p2ZpB33TlI3ViNU3KofaZcnz5o4YX vuf+B48PfQkuulbPXn3pNufuMjnOtJVBYY8VBk3WR8+8/Ewa06vN8F5t5Pjy X4scm9bR66swyPr5unEpWVzvv1rzYP+RnjlCTonuPbP95fjyiffmxd2b94Xb e/j3FAfazJtyLYv7i4VVeb/jRXye8FqzMMz/Zjy3j+Ac41apcW47hWdSgTUv l91yyJacp/c70SJGx777n4n3P6NiBvPfZD1bWCfSJeauir245V+8cFU9u3el 3PCUxXK8kLr+/R8FpZozr5/Pa6SX1LAuF78uC+92kdtRFj20mlHquBzP2+/c 5pqNisv3rEe1+7W3c6V8fXuGbVbDlyncP8/Yr2rWu9n5o1/yzNizmLiZTXRa 9iju6ptWi/yFQ+uLBe6c9pXvhxalHNxfgr0TSle6fDX461nh6MIec9d0Clfa f6cWvvW8XKKPyne0QON1Xw6IFg8W0LMh+7T3NoRlcX+ZMzdOnvX8phczOj/L THLSso62hdaOLqRlNz2YW/E7NqLnxJl5Ba1ULNWXbWza2VY8O678rBexGnbO mIqzfc8fKbdCw4pu3Pbd7K5WPD6mmP2qGRq2osyqr8JXrbj7xboAt2gnZvOm bOG1XbTiBnP1gglf0gRtmxmVxj35JrSc6Nd+ce90wa1TtQ6TVsQLmQHdWzXr mCGM2Gt3vrDFb+FxRo/gJ/HpQvL0lT/2/ZTje89JffK8YdskoU6LoVNC9BnS lCJV77h56FnPOn8MMTcE7dCowtM3adnMO23qetZNF36GFvXMeZUvp9eEzP3m bCYWXD/bq9lODYu73uLYwa8O4t0NTYYWH61nz1aX+69TCVsxdH/w7sWttWzv x5OHg1004rPfDg90B/Wsa0PHcevrqcRB9hHjLufrKf9td93XL5//nuiPlFz2 UMVGxA3Y2n+ohSgceDBZ+1zFIqKHfbrjZy629qre2jtWzbZefHItx9NR3GRM WciK1KcrUh3F+3/U614OLKHFk0cuhzXiaL/Iyl02OrLo9ldeFC6mFeuN8+0f 8sCeJXU9sOaTl0pcNC2uhNUpW1Z/+qPF7XvqRZ+6lSuFNXJkvl6padJIvdi2 YMjiATEOLDG4ncvXXVrR/EO5ztqHtix01qjY6JaZQquUMt2qrLdlc1/2KHtX shFnGVPW/neN458qqFi5cO/A7A1mbITP8qxhr53Y0eezni0q+lt6FVF5/gB/ M/GFMWVJJX/m/9mLQV2+B3b5bsb6ejH1s10acXidgaEqvRlTrWy+c2+CRiww pcrnQhN+S8/n6WLr7nMS7V59EFqlpUtdPlktnzFdL37tVqPnQmczxsrM3HZE 0ovlAi7fv+D7W6o6Yrpj5GKt2OhWSXauW6bUq+iD7rljtGxl5/abb91Jk9bO yo0fVknLulddGxpWN0kK2mneTjqmZ3O2hcyYuidWqvu4ZcOh3/VMf7ema6nX idIi8fGKV12c2O8FI5N7eWVItWMT2neaYyn22ZVX9lV0hnT9aOSQFWEaVv3h l8THxWKlrC6tIkZWsWDf5wzuUyjwi3RKPb7GuGRzFtStVIRbh4/S+TcfW7qe tBE3FoiK7lo0Wgq9trj7yKJ6sWGiZ9d5O79IubU9E46pzdnGdoPvDYhbLg14 Ueaql6+d2HBjt9FrGgZIZeJO1Zr/ViPOc4gr0cb6omA1YF5W4gkt235xR4uh 6nihUK7rguTZWuZ6v35c2b0/hZtDH1y0nqVnJ3PMViy7kSqcFVZWDj6pZxt9 LQ9Nnp4suESG+7TL58N5r1QDx96IF5rvqF8wzlfF6n698Wh/yx/C5qzk0NsJ GhajLhBdyixdeLckddnjebasXYDw89vgWGGLb9xN+85ObJfF2pgf3dKFYe33 d3Of4yg+HHfIZnHTeKFWu5Ca7UIcxeulG0ulG/8UEryH9pq+QyseYpEDe9eL FPrfF7Y26K0V/c+sW3kh6p1QMCvzXVUzGzZ3RcHfseXThKav44ZXPmnDWt6x ji+6PEmYZzgf+yUtMaZCe7OG9p9df0m+Vxq8eN0mSxhbu2fu+JIZwq6QU+ab IhKF3qXzTtUJcRI9JfOjO4emC6H7eizs8FvLYr8e8l3fxUI8ox8xki3QswJb ji3/8dZadLyX03NWkJ7FT7fp6zzZSrxZ2f/3d0tLtm7UmI5HSluIrEXmqUD7 dKl7Tp3AWzfMxEMrfpzZvkovWi1vGz9YayFe335aV+iiXpxWe0CFGiMsxbQG GSE1/7NlGcZUFOdsKJTTxpG5G1OxZ+jnZnsWOrIW3Ub18n7gIO4s7v9zerYZ c8ycNKj7BRtxXu4AF9eEBKnZ1T59xifbigMvTLg7/omWdVnlWsTsq0ps7nXv ZPGrWpZUsFrBg+3U4v25e0r6VtYzP88iXdv5aMRH1SuWrLzFmjWzD19j1clR HDzoUK3mH6zZ/fgfKQ5XHUQ/qcvIu2HZ0ldVPUunBCexgKrKxf37vkpmSUci e1vK36Ea8SpjxIIwrWj2IsX73v/EN99tY6Fq81SObz7h9JlyRXfYMtc66xaO WqoVu1UcWK/mUwem7n+6+OupevFN57YxVsHmTJtYf3vHGVpxWPSJ9FKnrJnH zZhS/UbpxcjcO+/61bNh68xK6V9G6cTJUU/WDuuRLjWudSC3q4VWDC53+NWx ixel92Xnfhs8VStWW9q89/ONedIxj1u1qubvb4JfT+m3KD5P2hoWVOdCZdnv fknDI4saHpHv/9w8u7rXQy85jtA0qfsMqbuZ2Cw9+sjxbGe+733Y4bHnx2by vYvHy2sVTi+nMYnroEvbqe+VoRWXz9sxR2gbzPXLan/Pr7DfeThgbGznwnp+ 3v2pyLVxzv3TBeuhHTb2/Z4rLCjSbYbZCZ0Yn2rz9cNgPfvU/k3hS/1ShZ8G u7yZ+F7n0+jY8TRul5jW+/aOQj1M45kbx0PHdglvZ9VbmMr1j4d1mu6aEy1/ xxX9ETCla7lqGVq2YEIxD91ondi3wqo6D17rmUc/XeOm03RioSWH6+0P0LNv D5we3Zi4Qih8oErW5Gn3pEvt/pw3jRX27MttMOrqVWltUIubxQpYsCmNbrf6 GufMyj3t0+/4Ix1rXzh2fvIgrbjs18VbNX11rO+t6yW832vF4hUOB36J0bMz 7RP62NaW450/MaRfBG+Xfplj3ujE2E+lHq8trmKfPkRempEtf78M+8tT3q/u xg1xZOmtHeyvrFkmrHzQoc+FTfe4/uezN2b23pgooWkFmxMOFZ2Y99UqKbs7 2ouLr933/ZbhyEIXVQsr3FonVi/YtvwxnTM7blBc9GLv9fPd6h2xYWn9ho6s NlMndr3W+/LL43rRxrX2uBbLtcyn7+mS89Pl77KfTkhrseWctThkwPNMi7V2 zLh+6LhfxJZrTZfPaaVjEeE97nh5WbKIau6pj8vpWMhDdny1uQVb3e3Pwdxv vg85+a77mg1SrnC74f5OA2MtmOe5ytHu7fKEr60TK29YaMFsDi8pYhYkxz/v XfHM8OxTWpaYOvbC4UlZknvq2Gv3zlvyfNgXDhsEW7bkfrthiNlES1YlaWzR cb8zpBcjJn25UFXD91sj5i9vemOaRoxvHnr9140gyWL5mvWBneXvVk92GfHx fk0dS7u2t/Imy4/Cvne2DsVsdGxLkveXnNlfhFO2H3bmlnDm5f0vVFr3KVvN Hq2zLFNpzHtBalAi5tRCNes8fkdU63KRwsFylpu7FnPg+zvWstXGlf0dxOZ+ zV++zvwgzLzXplXGHQfxwL1dg3PPfBG2/dipfuKo5/vmmOMuL9646cX6j3e9 X+qWJywaZq1/2CI//+q8t6XX5AmJ1xtvXeCl5vu3ism9g7qEq5j18bsHrTtZ i7VPiQtPPrXj+U1/nmm2srkd8178ckXRodbioMvDLvQYLMdJfFo16KJZvt4W 2Kl7/YZ9NGJy++PlR/WTv+tc61XEvC229sznvzIjFqg1onp+6W2qNXas6NB3 g06u04gptfeWGrbJkpfv1/5kWonKliygQcSUTmU14riGb3YUumvBzGpoCpZc IceNbd3hsHuHw7Jfd5ebezc3ttGzSVEVA/v9ihVs5gaFsvDf3E9raOTznDv3 fwv1jtjbDZwZKUzzPVLPfPEHHj/946QiiQ8i3kunUtr07r89U3p0blUZj/p6 ts4z6GzkGzl++tKtldjxts7iy4mDpvz6rheb6PYPH7hUjo/+rHiVgvW8dcy5 gOPOVvds2N0nI09OStEyx4b7Tgc8yZMm/biwqU+8Jbu+6M2Hb87mbNDtOgXa H5fjz7z4Yy7u7MhSDW4C8dKs2AJXvo9wZB+PeLy9sCtBimhzPOPJSx2znyjd qzfknPRI/TV7SwkNq/qm05pDZ65La+d6Tb97wJnteFLz7PJEMzHvtN/w5fUc 2HWpTvdvR83EXxvGZU0+rxMdfdzV2r4ZAuj5r/PWXYMv24ilExzdrs6U46mM 3X1h5ZJIZ7ZtaOeZ84s7iRNPn3u29oyzOD6wbqlLF3Siz2LxRX9vZ7Gp9Glr j3y++3CuUIvxp6OljFMblg5rpWc/jj5fmLY3g59XLYqfMPBgWIaQ+rOttvH7 NCHF7Wn+X4bQ9E+SkirMn5b8/EHbDMF5R9NhPzYkCa+vFcr08MkQYi7dvV2g SwpfV1rN3OK15Ee+XNC+WznOPc4knvSu/N2y++VwaeqKPJ3drS/cnlXxhK3P zZQMbhfZ5l9u88Ij0YKn7bjJGye+lt5sNH94TBUjFGuYV7Ta7Byh3cUar6Zf kO/rfdZ4vbd/pGdVDq0ot3uiXtw1bd+I3vHOYuXJt9YNGaoV7W6fO1Dmi7NY Lu56z0YHtOI9w3oxQvjfe52LZhv9mepZvXFr3+n5C/MX+f3ZyKeOr0onhkx0 fau54sz9R0OdluTN+fJSaJJzpoRlmoZN3+I4YYtjOI8LUbzF6AYfM23FbX6D Vr3fomGerWarourbiS3uWxcpNEzDdoet3Kx7pxFn+KZPfNBGtgt/63QqafQd LWur/h5XoKBp/Om1JRL/G2qrZ+VHN26eI6jFcWNXZ13y0bDJwo3mt/P1oM0r Ow+1nahhbhPVWavK5Os5W1Y/fXjOnlV83KrJ2nlyXLyAsgO/pf+nFne+e3D3 9GNrNiJtz0Hnx3qx8f3kC1ld7Nm9nq0dxQI6MW1Ji2UDIqzZpT0jrL1rOrHQ gsvyWT9div+1uUzGM0d2tVaprg2OJUsh5czSO2i0Yu31Zm+rtsiRTtyzb76n vxxf2nVOB/eyMXrRv/bN+i9q5EglFt8ofSI5vz2dFx1LGpgqLSy7sODVkXp2 bHHoGNciX6Spq6o3d+uvZ83GmseF7vosPXs28lvdVD2z67r8WEDPJGnH7EG9 ip3UsFp+B/OHJVKauvJqvYMbNMzb+vWChqrPUreNWW3v33Rg5bY+7hxw94s0 QTgjFgpzZs4VynYrsv0kt9umFf78OcY1RCi5uO7LIRvl+NKxFzp7DC+UK3Vs 0aP40ahYwX//+E6P0/L1gvNms3pJ8ULb5H2eezprWWud7tDt4CSh5j779PPF 5fjS08+H3utRSM9+q6Oabv6ZKSw/Gn76Zr7e4lVtn9nyhYlC86Lrff9Tqdii eiUr3iqazO2gk981rhwQliqMfHDIJeC6HE86oJrUbug5DXtjOfla5VOZwrDV +76VW6thWysvOLi+VpaQHfQsrUKuI3Oc9J/LJctMYUiIrv3YFY7sUE/f8T5z soQdblWnZza2Zj+jax/4r+svYdwI9sNtmTMLazFzYOGm5mKZiEajamXL8fdr VljSNivenqnCfpY9389cjJUuhJYcL8f56dXxcv5fqjT3UMM5hxpaiE6B2yI/ iqlS9ar/Fbx2wUIMzZ7fp84Mtdirs0tIweIWYvMX7hbJi7Tsx0JxinRNjhtr m2AWsmaJjejU8vXp3IGm8adb1nvtfT/LQixX2drvoYueXa5+59akz7ZikTI1 HvXL18/qtxy49WKIpdjD8/26L1ZadvTlxKpPitqKJwz/aVjdP+b6u3aiTbMz NwMumbFsg13GVmwnhVS215ixiXZDuvQ4aCdKYvKO1zudmePLgpGjJCdxWfeF 3tUd5bhpnmH3bwwe7MCKdDg4JaSpiutVA9OaXyt7Wi2WTDl1dZStAy//Zkfk mZXHrFjel+kvnzdW8TgTiT263p+4TS2GTok4c7u9FS9/JyE+5363z1LE66Rq qkcq0bb0VMcy+f0x4IXD4NAwZ7Hw6VvbTpWT5cCKAq+WVD6lZ3ERhSLs78vx qN2KTt+2ro1GnNIlZlqXmFSp2M4DRXbmyzuf0hYF17ilSmFpA+ZtiJPvHXqU aKVaU1IvTt47JWH8Djk+9dX6CwsWnCffn4ec7T68aqPG6/P72f+dQ+g3OR7m r15LlzaffUN62nRZlWH5+v3hF5WmPGi8gvvNw64Z0ybIt08vHZu2YVqFMuU/ SsM3eQ7Y8VXHmliNL508W46ziXU9Zek6h3mTNfnjcvDsmC/pQu/hQZk5NrlC Tv0Fa3q5OonrBLu3XQbmP3+gYehhZhpv+ubeftOd8vWFWemVVp3s5SBWG2Yl Fqml4uuo96W4+ZNaq5l1q8/dyn6S40/XXjo01K68RjyxPT7p0DgV14Oqt/nl XNTCmV2bMOR+xC/TeNSvDt5JGlddzeZ4nIzP2yPHp55TNqbp3mB7sce7XoV6 NzBn/jZ3C513luNT7+l4v05qOY14dEqrl3dz5e/YdCneb6n2dr6ePH9NiJ+Z HL+6TEBosU+uWhbzYmjuf8WSpEKfel2/+0v+/pvXqcIFk7rqWFDf2tW+7DPj ++VGo18cbu+bK1Tbus5n0Xw5DnSEe9ToA0117KDY6Oyvr/I5TZ8qMy2O5vdb t+DfIwKGy/Gr1/z3/FphfxXfP06tUP1aq80q5r+pYFiZh3pWKc/rzp5oFdvw 4HOrrL06VscwDzP/np/pWbjvyKSuVpncT73m2pdl2lz7LThETlupnaBlP+dt W/xhS65J3NwS28faRr/XMLuS5QZJ1yxFy/Ubz3iG5e9bBwWOvbHSku8326Zt //Ctmbn4psiX8Spv+Vz76Ot3hbqfdmahi3u7dOxmxvfJL7VDLDedd+D7N9CZ 1bF06vsHjuxOelBT/WA5/jTmocsyz4LLPJ3Ywaisj0GrdOx6PQf3Sd9tWJ+2 YqsbK3Xcnxv6ZcWB69oH3rdh8U10hwNjLeV7lOv9Sn/QyN/p1f4uOmHyd0vW YIv9h9KNzNkaz/Lbqn+35Pn8ezqB8e13DLVgs+fs3NPkvq0oOUnRj+Os2I9z DlbqhbbczjC14SK/Ai/k718PrumRNK6/HA8a9Cwfs2e+9pUZ+2MVfmeuF++8 GxN/wdKCZW1/7BzRQI7/jHnfv05ZP//88u5nd/vMe2guFli65HSJ8N/S766t Gw3pL8d7PpDxsavbI53oG9FIa3vom/SjwdtRpSLl718PKX936i5ve+aw/MOv nH3b+D0x97hbfhkHo4W76209Xtc1jYs00b/TZP9OscKsi7332pSV4zlj/OZX d3l2/le04Fuyf93BTbViteNL9OsnvOJxcAsV9Ewq4PlccDlbcfg6czkurlXO CKH4IZ3Y/ODKjmW2pwutC3Rv39VPx+9PvR3nviWlgfy96yiXm7uXbLNktf8c 9940E79ubzlo9nhLk/jMhRPWp7fNzhMaPbtZzn1aonRhbcXDbZbaiI69vkdG FUvk8b123VxyP7wg/b61lpn5NXj732EV58PEWZXKnBpgJ5YobF623U453nKg k92p43Nt2II5kV6FPOQ4401vLPf0WWUnetc4ssYtU463PLZs9BHHvjnS4/pu w6tMdxI7fNj8+FMT+fvZ0BtjvFs/ZC9lOWS8j6QRz1WwndYh8rG0x8XjTtoe OX6yakO/a/uiNeKPNa9WXjyuZY1KZj1vHaIXi5yZ2qjRJjle8rBfUU9WD5bj JYeODQqJiDaNl7y1vfWwXy11on7f7UFFWtny8vqn22cMeGjG1ozsdKP6cPk7 7o0X6xst1uvEsStWJEZ6yveYVlp5VEp49FPKu3FH1+9cPh9X1xSd7P6D+0d0 e3Hs5Y0JF4WPx1vVX+cuxwW3N/oTiLU3htX3V83k93er9WlYPKvPO2F2ixON 277Viw4dfy25O/kDj48M/2N+nt36z/9qnn6d4XS9RCs1K74qpc2XmyrW1yur k01ROU4yzkvdvg2undLbju1ZEX74moOape0ZkzC2uR3LuWL1Mni7ittzahU6 0jRpoYql1E745qGzZD4nTy/uEWUhf5/+r//zWmYlPCiZIE3N07tuOm7BIiau KVmh/nepUvMeN2rWsObnyDe7faj7H7MWt55rtyI6LEEqVTU8PnW7HbefvJoR 4Jta144N+mDf9cXTz4JYqksrv8PyPXPhbk3tidPO4vOYWYdC0u3FkovPba7y 1lmMWdB17KuKTuLu5tvmRS5PNolvvGywWeycKzp2qu/mz04eb4SrtubhQ7wi pJF/zyOTDhfoXXaBfG9nUJc7jyrPipB+BO9d7DctUSjJZnd/ppbjE6/vvyyn flM5PnHZrav7VvEyE33ydxURx5OFkwZ7nZloXfxoy40vU4TwQDZvoYeZ2KJY wJlaxeU4aWP1YaMO5+Nyi6+W0s2S4xFHHJpwvOUkPZt8ouXmujdSpVpP+81M mqlntZa0cm58PlW6eb6ntfssOR5xufmbh65Ymq/HXrlgNbN4imQ9s/hzmyX5 62HvvnNqTE6Rth7zj/m4SM96ntyStqqYnt1Z0Wno8Bd6Vvq/MX6r87F/X8u6 1fLxhq0jxs8pIMcj/u/QsMaF8vcfS7+nDxqcP+9a/3wZ8Wc/0qn+9HPPz2vZ lvqflmS6Zkov/Sas2yHm69UdduSOvyfHI0Z84hYNShfb0FnPpl1L6T71XJow 3ZDmCV8PvSrvnpRGvjedLsyeYX7+eL08AfefZqz683/+/njZkrpPrU3jxPq1 TOx+tZeGjS9YN+h+bWeev2/r9vUTP8rfU1oVZfn5QzPZD6rR1x8XUq/q+PzA +xY0/PMvRzZszfcDS5+o2IyqixvX3W/N6u0uM6jjXRVz7rm+kUVt+EVZ8fnS afn6Vj07OXM9vXLpnZsrrdHJevtff9UttSfZLhuZJh22Wdx0bryKz4+RVd6U qHnFSax/snvgAd906W5M5qM3S1XioqdJ287apkgWg/o2sbJyFsu8qtW00ZJv 0iX3Wk0adtTx55/fTPL3qao3+d5c6SmT3/bw+Cj5NH/WzXK0xiQ+cbO7TQ9t i3sjPdtUqMAxdweev+TlTI9tXvZMzL6z3lp7RIibdPvh0hpmfL6GT+9RtHOe GYuvrx697eAm4VCZaz29x5ixfd9mOhZ0fC70LX4iJ947T+oyaM+anL4Rwo89 Idlp+/OkCoFedi63PwvrSpg3CT6Zw+Ne1J3rNvJeI/le7fb1j78XCZDj/g3y OJXo3VNjEs84fOb8NzPnZwvfK3VvVLCco0l847Mrj+RP0RzBpemsA8I2K57v vXTdyxFbZL+khO+DNdm/ncS2l2ete34hQzju9/Jx0nCVWG61c2hGXJaw6UrK 7XuZKlFqv2JQ1Xl5wq7ZRcsGp6pE7YmDpdp65Akhw2K3Ds1LNvm+3O/Cu9ff +WUhjl/VZvfLUDn+8YZEr7qTLupMvl80v7drgQ1R9qJeXWKYvogc7xh6kGZG o7cRg+3Fxqt9L2Z0fsv9ab7s2ZM09GSySZyMHhrr7hprnXj4VM6yRlWfcv90 /r32PjP7fxwtx0OubtA/PksOdTos2F8wQDhzM8/qgNM37re++Y87mV+8cLfJ hIcxJQO5HVbwClypLfeDz2cefz7++xq/13kC23iwTO61DO7f0vpNkbhyuzOE N9le89pFZQtdq7k+tYvIEK6+fFcro2SWUKprxx1b5qRLDaud3tF/iJ4dO/vZ f0himnT/S4UOT0fr2ZSIkmlpx5KkBbkV/rueL/+qTnWalDg1RSh/4Hj6Scd3 3C450WpKZ6spH4Va81ZN941OMYmHXLLrgPy//P1E6/atpqdFS2tH39gf2VrP 4x0v/mPXHCjHuS28Ykj+n5ZZhXbIad/Wlu83o67V6Nhzs8okrtrhyNV1OgZp WHvWzf/eYktxrH1kuNrFid28sMxTW0KOb1ykzYdtiw6Yxjfu91fO5DQNLLMr S453nPy+38iyw5zERuMXnLu00p71TKjd3lmr4nqW7qPlWF2oius9aM8iO21Z 95U2bEezTQ+S38rxjaGHjPJy+LTguRzv+Mjf9Ouvuc7fsuT4x351xZZPWzrx +6DzL4yYVvCco/ikWNPAyCdZXO8LmTL0kU/1DEk1a20P/zRHk/jHo3pkRJ0v 8FvaG3R55qQjTtwffOzDnReOnpLjHaN9g30bjPZtkCaV/fRjd9QGOf5x+eCY p/4PTeMdP5jXMMevRqwU1rpvz3ktncUTx5dvXVojWipz0CciN1iOb3z5UW6v Cpd1zKl9iwaFJxwQ4rpX+3BppRzPuEHnxOszvsjxi0e8bni3gz2+exPs5tzi 1ue4Bvbi3O0jmpfLOcvjYe79MbH6xuxHQuoDl7oztsnxi7e8aT941069aB0z 60a55c+43mhIxiy5mRcV5bHLX28Sz3hUrfelvcM/8nhH5/wDTy23+CJcGG5/ dWuAHM8Y/dW2+w3d5aqxfJ/sY9ifpQuXn989v+i9HM+4/oza51fVc+J4eaDV zlvnrU3iG6+YXqb61raZQpWMazfKfHbi+5nbr35VOTFZjm+c2v9sWv6fSfzi W01P/7jknyf0zXB9M6ijnnxfRs8qt1h+aEC0jVhmo/qLTifHca1qMfJT+jcz jo/e/fm+djdnMWlwv6vJmTbi5qSIEo0WyPGKr6bWrHcwf5/gW3D/thte8jxr PNOzwPHNjnxfu3huMyu/A47irq67rKJ6RUo0HvHsmietqsxBHAAXZnv7WlaL tipxp9DnXfobOa6S/udxy1Y26Sbxidv2rNe6Zz29mDn8+MDxiYl8HK9uW72v 19XnPM7docCpwoeSOqbbX+X0lVc6calLxuVOBR8IWw32/8/SqyoN9QXSPwm3 jKk0x3BP4qNQ8rLdr7EzPkuBaQO/D859zOXuuQnRK53PPROG2hfYMdk2Sej9 dMaaz5UThIdTsyvGl8kToH8a2DRBx6aETyy4548/9Pqx+5/d1nH99PIRswsN 7uhYhsOc0xuq6MVVNe8Kl6fq2OjSfQcu6ijHq2lq/b2WeqBWbGJM2ZD5vjcl dbQQ6P9h4Jomziz5dcGF3ilxJvGIA2Pr3Iutk7/uNfM4P26eHI/Y9cfDDt2m JQmJK3e+f9PaTBzywrvh24Vx0uRWS6u6e+nZrurPV04tKscXbnv0yt6zRfL1 6UHl54yw1XF9N+ppuPeZYTp2Ysivjyvzca/8Xf7MfPwtr1vu+QhnHm844drC JaM7ZJnEgVq3utzYWvl6yICnGc/qzpfjD/8YePBO5iI5/nD10fvrhOVZi+H3 p3ktKq/jfHpx27P/Ws7VMvd5+ydmeZrGI56br75bbtex8itvNVu2I1HQBIaX DOjkxPwSei1stCeZ6zHWFvvbdOgkxxsGny88flMfYm3F7YcBC50GeX6xZK9b t+nWIEKOR9zl9e5to+44sZAa85s71MuRyt9vpdevluMPwy7vNbXByKkNsrke UX/o/FGnnBOkV2VY7r3tcvzhdcuKNzq935wt/lBM2Jr1gscbXnvVKfPrpOPS 3jbZadVGyfGHbaTMkW/XpgubjnoETK2ZICw7Wtxh3mc5nnDvZWanuldyEhOL tWuyODOJxwv+PP/PhiBVWFFv/PnTs+X4wQd372033MaK27G6fLheKuh+hhRw ZZLPwfm/+freJ/tS1+xLeULjatvEIVlyvOCQk+98BoSbs5VFLrs/uC5/d+yo 3dSXAQNsxNSpS3trNpjGC76yN3d6oSqWoioq5cGTrXK84N7jO0+tfuo3X9cc u4WPdXzzTbLdnPE+oL6D+On1+dplgk3jAbeM9W0e62snBv451huYKU01HPDJ 8YDrZvVTnQ/SiDeeaKNOHcwwiQ/c+sqkx+YZclyuR/eGdBx02VksGXMxK2XL M5N4wTffv1C9GZ6/jhTbmHHylmyXx7qUZji31YlXZj2qeVul5v48zmq3Vocq yvGB94UkXP6qSeN+yQ2fm3XaHZTH7W7PNvX7nT7HjFnrHH56ztay+ddLbt48 yYx1X9w3bMJiLWNdg2J8T8nfvWpUwv+ZZawcF8pzzOCf24vK8XWf3k6KOrfa VuyX7lPTu3eYVMVwv3u40Ce8x7euda4Ife23f9UE2rAND/YcfpuWKJQe0Dat uyZburZwg/eMfmnC6nH3d1UNkvWyGnvHeER/k+PNbnnY0dzDTo7H0jN9yo2k H3L82JRt1ZPGFv0mHI8OvrXuoBwfdsdU1edHc/Wsa/9FaRYb9cw6eMCpSd/1 4shmUyyKj5Tjuc4LbNWkXIocr3V0dssh729b8PqjDPdW9nN/8Rp+D9cl/crg 8YPqD2gUvWjuVm7fmFa5tTDqsRy/c36R4/Hr3urYVL9hW29ZO7HWm6s/dQjV sdWVBuwt4OfIThvOs7KEWQZ/IWvWTmUxM/21pSiu/HS4/yo5PtXo4D8XBG3E 0ku1g0onyPH9Vz/zsRz9WI7HOdy12FrvLDn+5ufrqQGrZgcIzoeWl2x6N1yq Vy25zcwHacKJJgH1P1e3Z9+Pr1rr4qpmwsjR63c31LKd+594blulE2/Hei77 vEvPihcbOG7S+Shhzx/3gOvZQlLc9IHHFznydftRRuddbkzDseXt5BzxvIbv i+AHoGnz/rxFhI6FrrCp5/r6kdQ/0W/w1DE6ttH1hqbrmBcm8R1LFMj8Euet Y3tPTb/w+oEc//DauxuLHw6Tv8/8pFxwCdVG+TuxP09M61y6jhzP8O69jmtt f8vfM96VbLfH+bAD92O5m101563fb34v2K9GsbHBufL3hleM75O8xVr+fnBa jdsz37vK3/Nt/7vUU2GD/P3d+u+XRm/Ok+MFpgdtinDf94nHhftQcGOXJl30 YvnYCefv1daxaWHixCqN5e876d63f73KWc8etK3gkxGnYaM2eH95p5Lj/fw/ vkxvKw== "], {{{}, {RGBColor[0.293416, 0.0574044, 0.529412], EdgeForm[None], GraphicsGroupBox[{ PolygonBox[{{1376, 1377, 211}, {2394, 1378, 2823}, {2297, 493, 2732}, {3307, 781, 2397}, {1377, 781, 211}, {2732, 493, 2296}, {2293, 781, 3307}, {1378, 1376, 493}}], PolygonBox[{{2393, 1377, 1376, 2822}, {2822, 1376, 1378, 2394}, {2823, 1378, 493, 2297}, {2397, 781, 1377, 2393}}]}]}, {RGBColor[0.36666449069752666`, 0.1847637434692041, 0.6323716147657469], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1UDtOw1AQ3MALdmxLnIEidLlCYm4QUoBAoiGuoU2bBgkTiQ6ugKBDQaKK FMQVoAo1Z6BjhhmKfW/2N7uze+eXk4utiBjAtmH3eJYp4h14hL+G7XciDpN8 4uee6o7KiHFSjvFZRzV9/MOk3D8Paxj7gk3NewqeHDw74DkxPsPfOE++l27E LvAB8LIrn7jN5BN/VhET+B+VOBr33mTyiTmDmHPWsITcbSU+9nLGXaHdv/OI V+/L/eeFbvLQk5ahNdbWQu3J+zDeWGdt3WP3cGfuNPMM1l6Be+H4yhqZ7xu3 rm+xawBf439CzwZ8j4X6Wvf+5JqdQetbKU3rUjUL32Ll2/3dM0knNVIb/eNS e498Q+Y33v8XSa4/Og== "]], PolygonBox[{{2823, 1124, 776, 2394}, {2695, 1086, 1244, 2731}, {3215, 1796, 293, 2710}, {2902, 919, 1792, 3210}, {2730, 1244, 1208, 2481}, {3307, 1932, 446, 2293}, {2498, 1461, 1460, 2910}, {2397, 776, 1932, 3307}, {2296, 1123, 1245, 2732}, {3285, 1874, 1461, 2498}, { 2694, 293, 1086, 2695}, {2910, 1460, 1796, 2497}, {2903, 1204, 919, 2482}, {2481, 1208, 1204, 2689}, {3009, 1039, 1874, 3286}, {2732, 1245, 1124, 2297}}]}]}, {RGBColor[ 0.46432914496089556`, 0.35457620142814306`, 0.7696511011200762], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtlL1rVFEQxW+ym2TffU8FsVYDgqBsAuktVUwpqIUfAdGYWCiCVn5EEVS0 sIta+IFiio3JYuIWwoJE4mqEoIJa2+ifETw/zhQ3dzJvZu45Z2Z2+PTFwxf6 U0rndWo6Xf3ZXk9pui+lbw3Z8rV1L8r/Rf4F3eMDKQ3K7ujb2aGUJnV26P9n g/52aMCxm3X3FP9Zp9Pnmk/j+5xy35Wuc1X3uu7vdceeU70zURMs64HnRU5p TPdr3WvyXQo8i6q3oPOg5nrYYOOd8bBHhK2p81P2UHbdf1VKH5QzXDfvm/Iv y/4r/1ph35PK7zyvObcdmuxW7BWd2/K/UuzWTea2v3Q8b4FtpbB2p4Ij/OBy oHTuS33/XRnfSmnN3tet2/3KXI6WvuEGx5bs2Zrt1T5zoCY8dgYX8on5BHdh Hm34G30Aw1jkdSN3dNAY4NgMG9zwgddM5RrUojedbE06hfOpuyWZcy/epZ+7 gjNao/kf5d/Kxva2MP7pyEX7N9HHqSHPATMAr5HAf0J4lhVzsrQfDv3K31cY J324UXm+LmdzgcdCzG8vbPz0Cb6rZXDJ7j04ZrJ7TK+XGtZ+OfR/FPP3GB7Z dR9WziGmo3p3s/t4J5s/OqA5uzIVvMBCDFrMZcfkbF3wtWTfy9ZyT7b+aIIO x2PODhb2URNd0Ald0GSjcs0iO2Y0erc3alI7x7sbsQv0g1xmbH7AcfPBBU5H SvvbhXfrR8zlNuneVP2u/BMN2+Bkf5ixr4UxTgbOj7EXvypjAjfvzsZ88y47 Qwyx1KMuuROhAzb3RLxF//kNYu+Zo1bMEvvJrrFzS4V/L47Jvl4a/zXd/wFZ WqXR "]], PolygonBox[CompressedData[" 1:eJwlkc0rRGEUxg9z79y5772srCfKyscoe7bKUj4W2CiWpFj5Tiks7IbUsDJp xgwZN6nZjFKGhAVL2fk3/E5n8dRzznnO855z3q65pbHFVhHpBh7IxSJnaZGC LzIUihwRP1OopkQaxKfEncT9GZGONpF6aLyGfiYSWQNp6p/EG/AE1DzL3cF/ 6J8PRLK89U5fnxOp4P1E3Atfj6x3FAzjfUFusIX56C/C78FCYB7qFTqrfYAC fCu22Yv4bcIv8TjEPw92nHmqt+6ou/4xQ7tvO+apl5xpH4jL8Ff0b/AsCJy9 oW9pTmt7zrTqoV4JuXP6l8lNs8sUqPo2g87yAuopu6Hecjay2+lOuluPs1uU yU1Qu0F/5dsNt6l9xfYXOeb/hl+Hpi2BcfT75BL6K8QH8BVnt9ilZ9WZRrXq qd6/GdtNZ2oSNyLzHgCP8BN6mp79kf7VZGTeutMt+pHQdlXNMfV/UHdSig== "]]}]}, {RGBColor[0.5619937992242645, 0.524388659387082, 0.9069305874744055], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFlU2IlWUUxx+9974zz/tenbFsFY40AzlWltOuZBL1gkKuQjeWG203eUco tZkaHVxFbrMRKUXMDxC/aCbBGYNoNSOkIGEh+LVQcpnYSrD/r/+RFi/Pec5z Pv/n431l2/AH7fkppbP6avpudaS0pEhpYyOlWdF79fXr4Yp40+ItF93qTGmd vjG9zeaU5s1L6a7uo4Xlnsugy9uuMqUz9ZQ+0/mj5GdEb6n8vi9k8IG9V2vm 8Xal5vteyS9UbLdF99UtOyA7BxRP14KUxmX3oHgXxPtU9DPR52R/VcP0hHSP 6e073VviX1Nsf8nO7WZKJ+XnffHvC4Sd4h2R/CPRu8Xfo+8n6d6UzQfirZWN 86LvS+6CzndKxzaUHTuY/Cz9hUGT13r5OyUb401jcFS+Rmp+b4UMubYCzyHJ vK336fmO63rERi7XIh9sHAk7o5X5IzqHpXso4t9euV4f6zzecD7kgl/iI85F Oj9pmCYHcnlJ8ocVa7fe5sQbzPb/ZtO+8QueS1Xn1Z22id541GjxAuti41Jp nLfKZqPpnLqzc7wbeT4MzH9Pjv9y5EAtVhZ+o0b7a8YR7O/pWyH6pOzfFH1C 5426afrj18q6vym+bwpj927DtvAHPgOFafzCnwn669I0ffqkdA02yN46cBG9 RufrpWN9I2R/eW4n6kNdkN0f9IB02jq/zc6Z+MGiV/HdqXtetpeWmcjGGszf y8aiXXf/rc6ey7eanrWhsIMfegtff8pmXTJ/lP/jSL43AhtmCL3RmNOx6AXm rL80xmsr2yQH7psrx/Ca3pcVtoltatUOmv6iz5jD70vPbta5qTLvvGK/ms3n faJ0XOtjjqkTNfq7cC74n5Ruj+5TlfsIrE7HbIPz59HjiyKHlmwOMhPZskOB bVenewhMuzrc/8wdWLLrqDF5EOeDwB3ZLyu/M4PI4GuqwzaxMRV+X67sdyR7 JpiNJZHPqpgX5h8swZg+eVyYv1G6P+h+JjvuwbDHLiMe8OvKrjMzRG0PRZz4 Zn6pHX5vxYxzPi1Ms8N6giampZEPu30uduziynZe1PlPaVzoNfbSbMjQO7Px LyDv6dgbByX3UDZ3NT0P/+2g0rpjId8d8Q+z85uu8b6m34idvTEVdQHbvk7X iVpzdgdN7/aHfE/kQl73YpewE8CHHgUj9jt9cynmmB6gBjsr65wr3XvU6atk v72xHz+q7HNGse/IjvMF8T7Ud5E+yPbfE3hOZu+RydLYUwNwBJsDYZ99gy59 Tyz0JX0+VtnGF5X/UYdjtxMH8SwPHPoitrmoCzVh5ugf+gG/3MEEPeRPx05p xx7if0k8K2Muj4cu8dJD9EhHzO/VmKPesPMv9MoN9A== "]], PolygonBox[CompressedData[" 1:eJwlk0tI1VEQxkf938f/nMIyo10UQUIhabsIF+ktA10FbXpstF12r1BW9vBK K6lt0hN72IuErLiXIHURtclFBi2sVSak1LKoVVS/j1kMfHPmmzkzc76zsae0 r1hrZgUswU5Hs391ZnMZszPgddhMFowlK8xm82ZNwsQ/gbdx1g3uwn4Fs2v4 9Tmzmhqzt6lZhbMx6rWQ85paZ7H3cNfjV8Ab4F8GX+KsFf4T+F9oZBGbBFej c09Rs4x/F85P/DH4e4ht4awI9yU2Aj7M2TfwI+48BD6ATSfeQ4Xcx9ifrPf8 G/4s/qqc96ze90af5SG76AQ3w+lPfGbNPp16beU0rjTrwx8mPoTtgFsg5yb5 g3CuE7tBzdVwpzjrjX6mmHZ8HP5g9F3vxLYT68Ifz3iP6nUSG63zGfcT+xh8 90s82jx4l2pm/M47cJs4Owr3s/ZHv3/1Zty/CT8QG8BfpvYI8/XgL+GXic9w Rw6/A2sm1oZfAI9T8xa1J8gfwN/NfReI1VO7gfkb8Dfj98FpjH6m2CL9tZFb pv6PrOcod230XSnnWOpvqrc9iX2FeyL4XcoZwl/Iu5bUo3qtkvOMu5bhVOGm wXvXjJp1TfRetHPtvj36W2pHHeBO8r/Xeo2D0XekXUkzc3nXuLQ+Bac+9Z7U m95gmLtaomtVOxwl/gJ7lbjGLgbfqXZbhN8bXKPSqnaoXb7L+1+QpqQtaVba LWFbg8+k2VrhvIn+Znq7eewB+Eh0LelP6m9eDZ6rma6An1N/IXENSAul6LPo T/VH15i0pj+nvzeBfy/jmpP2ngb/e9KAtHA/+N0fsNvg9tS1p5xu+Oeiv7X+ 9HnwfxD4lC4= "]]}]}, {RGBColor[0.6342836670123848, 0.640779548914163, 0.9111050761230709], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1ll2IlWUQxx86e3bP+z7Hol1Daw0yExMU+0C30gQ/okBLCSuom1IxK1eD 3FWziEhrtd0uSrHU3F2oCy1KUDSyLkJTMRA2I12jKHa1roogvdGF/r/+08XD M2femXnm4z8zZ/zSNY+uvialdEmnotNXTam3MaUhMSuiF+kcFn9ekdLv4j2S U1qYzZ8r3vmmlK6X/P36/Xfp+27x1+hu1blZutfq95fSbZdee0NK3RXbR++0 ZGbpfC7dIfE/0z1J9wuhe770u4O675Kdc6I3yM6WWkozdIYlN078Y+IfqKf0 vfw5ozNFujt1X6n6W1vN3+Cfka1fxLtHei3SeVt+jNZdyrcjOh/o/XmSeUv0 ft1XpLejyTFMkb2pOs8n5wffjov+qzT/Ntns1v2HbG5I9u9Y5AJ/1+lM1zme /dYW6W2XTrvevCPb5sdht1/818WfI/4qye6q+vfj8vWk7D+he6TR8tSor9H1 I7d7C+f5gOzfGXm7RfLTyZ1kO0WPirpURPfKfo90l0vncsUx4P+fsrlN9PvJ b0OTO+7tQQ/WnINTujsjxnERRyV8I7cXGyy3v2qaPL8k//aJ3ilfTooekL0T uturxsAEyczMfmt34TxSC7CBv93hc7P87GiyLXJJPPCpYSeYFP2d/Lpdcl9n YwFMDERtqTG4+0a8mmQ+yo5jRsTSI5/69P2QfDhbOq5zujtqxuJw1JfagrFB 2bip5hy21kzDI7fQxNmjNy5I7x3dZ8VLon8oHT/fJxf2D5v0xv9vYB+fyQX1 A79gD2w+J52NinmlbO6qO08t5C96lF7j/dbwoUl3f5Px8WlhPG2uu3dGdGZX HF9H5GEw+pF5AG9jo/kf6o0R3Xuy/W0LP883+q3BwOY/ujdV7AfvgsWlpevV oXcfzJZ7KNs2bxDndTFTGuruG2oBfsbXHdutuufIzkzx1tNPhTF0g+w8Jv4S 8d8Ur6vBMuBhRtQO/y+V7p9pstOie3bNmGe+QTOrDhbG7pOyuU90j2wsyI6D eMgh8vQMuvDJL3h8Te/+XDGev5DuUf1+t7RtdJBvC/wMhA341Gyx5BZLb1Ph PgHj87PjQJZYqFMH9WVWZ8+Kudm5QG6s6KtVz8MFyf3SEn5OYyaI/15h//Bz VDLW/8O83l+Rzf+1ME7HRh1fKT1n9gYehmPWLVUen5LoktJ+nWi0b8wg8sQs XyD6K/EX1j03jleN83UxR8gFc4+5w5yhL/c0uIeOZs+Qg6VnHD4cyvYJHeTB aRkzB8yjRz/2B3Z+TN5j1JEZtbX0t8OFZ0ZHzI1D0fvfyv7l0vLUHxt9YefF bP/XZM9T+pK9R46bY8+x+3ojbxer7n12A3qdgUN6hZ4ZiBm7NrDBbGuOerWG Hm/wvSNkfitcI2p1Kmby1NI1p59nRT/+FPZX1k13F+bTo+w15K/G3sRHfKWX x2T34PJs3BIbfcG+vRAy9MHp6AX0hoMPZvGVWoJp9JBlxuDbsfg/0BK5Go53 iXMk/AG3vM9cIAf1uvXY/0Mx66nX/Njd7HAwUsau6Y0ZRP7pTfqS+YNf22K3 TsyeFZsL+0Vfkbfx2T34Rux3sMR+6araDvSO2CHM3BTvgMMbs+fOA/LnXp2J YLRwD4EJ5EZn77vm7J4eihkFBmcHPTZ6fl3h/YXczPCB/iWWCdl9R/8xL/AZ 31vjPxI5Y/cju6J0P22NHfpydu7XZ8fUFTb53hUy/O8gFnyid5lrxLwsO252 zrKY58x1sLk29jLzd0nk+GDdNd0d+6Izdtzq7Jqvyv4f0x29yd5YFblalP3f 4uHsOuyJXc9uPxL1Zge+2uA51ht5xl5b6W/sycPxf3Ry6b7ZGPLPZsd1X+n+ oY9O1zzr6f1PCseMzISYvV2BPfYTGB0T9ZwUM78n/vMSy8Tg8dYzUYOndf8L PTp9mw== "]], PolygonBox[CompressedData[" 1:eJwllFtoz2EYx1/77/f3//3e/5oM0bgYEyvH5DinMVHDloaihMnW5j9Kc9gI F3KYucBImClu0KwsK4cLYSa1coixiJbDFSl2w8rn23Px1PN9v8/hfZ/Dm7N5 +6rqNOfcBiQdqQ2d2xU4dwRQGDl3Bnwc3ATeBJ6DHEC/H3euKOlcG/gruBWb Nmwrkf3gOmQmXB74BQl6sK/Afqp37gS2Dcg5uDngM+g/4C+AZyEfsW/kLF+2 ofm+R8rxPw0+BncUmSSeHG+4d3OMmOgLkVcDnXuJDMhwbg82XdgOxr8FfRgy Dtu/8An4k+AvgfnI9yA5fmPbzNlSuJHIfOz74SPsp4BT4IEJ5zLBT7zlvsd7 O7y9QW+Zh/8v4m3j7HFgORrQDxO/H76dO9fBb0WOOXvTZPgKb7X7QMzPxCoA H0K/AL/Y25v1dvVEvTmLfI9bTVXbT6H5qkfl4CXEP4reic0acs/gbG5gOaej 58Gn4IfDd/KmXM4mwK+HH4O+PGm9Vs1Uu9LIuFLwavRuJIZ9B2fv8D8FfpRu PVFvXiMusJ6+Qs8mRk1gM6ZZ0wxoFi7jUwY/GL4KnJLATQutlo3cIYe7FMJf T7eaXIHbjeTH7I0j4AJs6rDdjk8m3AKkl9wN2PQRf6i32GPAVXBbvNmO4ppl 6GuTViv1XL1vQvrhi+CL8R8CXx+3GqlWD5Dx4Ij8PfCT4ZvjllO513nbjfPE uw2+Ck7A94GfYT86aW9TT9SbmqTVQjPWGNrMa/YryV8fmo98tVOd6K2R7Wov Z7ciu4Pu8g3+PfrF0HZJO6Zd005oN1SzAvGc/QvsjZfQl3mbfb3hD/xt8j9O M5s29I2R/QV6w8OEzYxmRz1+m7Cd0m7dxScjtJ3T7qlnO/HtStis6M945K2m qm0J9ylBv6OdjtlMtnvbOe2e7pBNvPHaqXTbUe2qdki7JJ996CvwuRbYjt3U XxHZbqpHz8m9F747zf6EWvRB2IwMbGY0Oyu91U4xitGzvM2GZnKIt5nR7IxF ZhN7Ebg4sB14K+xtV3VH3TXlrRb6A6o1a0hHYDmVW3+I/hLdaSo4F5kY2Ixl JW1mNDtXkOPEa4ms14qxg1g3Qptt3WG5txnRrCjGT2z3gp/Gbee0e/8BGbvE Ww== "]]}]}, {RGBColor[0.7060897867047898, 0.7561520029945361, 0.9127420344861863], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1mHuwVmUVxjfnu+9346AlMwgkBw7NIDMwcSiLS1hWzpjKTbv6h4ZcROV2 MCY4TJlC5QEEj3OUS07gdUrDLpOAImCBGKc0LNGgDJgmDPNWycUGe37nWfyx 513fu9e73nV91tpf8zfmTpnTlGXZz3plWUnruY0sm1fJsneLLDtPzz69HKK9 D4nuFt0iur2eZcNrWXZcB5L2f639C7R/Sk+tnGVbkmW0V7NsoNZFem4X3aL1 A/H0Ec9z4pmj39/Sfj+tFT2P6DkmWZv13KL9PtKnl+Rv1e9C5/6rMzul53u6 f07VPM/q9zStN+iZLvpJ8QwS/Sut/5OOa2vWb5/OPCd5P8h1h+4fVfVv7u4S zwDRe5L3d2vtDLnIbNK6XjxfE0+T5Gyo2Re96t7HR5+WnE2i7xTP38vW4dHM +iJHSzai4rPXZtYdG86RD+cGjS1nqvbDFvGcqPv9yw3Ln6BnrfYPa/9t3fkP +eZzDftssnT+hJ414hms/Zdk5wfS449a3819drR4+4bfrygcm4/oGSGZY7V/ qehPimdi4f3zGpZxadxLjPHlwuR4TQo9Xw374Tmp9fmKY31CZ1u13qT9WYXp YZLxtvQZKXpowzIe1nOX7JyYTF+l9SK92y+5F4kekJxDXy7sw5Ehk7zE91u0 /xnJXKb7evXOsg75Z1zduiwKXcZmjtmIOHu65riTW7wnT+D5ZeHc/oXW1yT/ kPT6CXUgnu6KY7comT6u91NLfsf+aa2nwv7fVbx/md7v0Lqz4hxriff4sU06 7hZ9RDxHWfU8G7qQu+NKzi/ybLLoOcn8t2j9dsW52FOTcQfyD2ttpT4zr6OC 3imep/XuQtH9JXOQ9r/a5HxEDnaQv3XR80rOI2him4L//cxrc5wtaqZ5//ua 78KWhXXffYFk7KpYt+aS348OfV6omeZcv7CbWDylOO7Quk3r3rpraFhuXdAP fRYVrrNZkddvVZ17axSPafipcI4cqjrW8/T7qOi5WteLZ7F4xsiHjzWcd1cm 24Id1Du1D4290wrH9iu66zuS+ZLkXKHf7aJfrBoTiMX+qn34pcJ59Hnxtysf W2rOoQeoN9EHG/Y3Z+DHf9yNP79YOIZjdPZfyZj2ntbZ4n2q6jjj//6hGzgJ DW6wDgiadWDQzYV91qp7v6lnjGRM0d6Dhe9s0t7jhfV8TGuT7uqnu0rS/WTZ NbxYd90R9Yw/f14xhq6TrN1N9sd4PfcVtqVL659kw2t696nAEGhieSg3XoFb S+ruC0MrthWc3Bm2YNv7UafYj+0bJedmrdP11Hsbx8Cz0SXnDDg2IbeN2HpX vFsgem/JNdDay3EhJuTkTOmwSs+Muun7AltXxj40Z1cGvamwfx/SOjjwhz75 XdFXie/C5FolP8iNrqpzFHy8Prf+94h3q86U9G6j+JdWzP8F6q7s3z107l5J zySX7wjsog6QR1yvzH0v978j3jciJsQK/CR2tyZjTpvW3+aBqw3nOLlOzm8v +y5ienfZMtEh720MBYNXVF1XYCi+WRl+A6PokfsCT3gPLk0IXcgNfNY/8hx8 awkMJP8HBYZ0BRaAA5vLniWWScZNyfhwo9YFdc8MYMvtuXmYO3bEPeQAeYRd 9Fx6JHG7vOGeRe7R97cFzpyv/Z259RzYcF8m96id5WXn0sdKnmXoifTMZ8qu AXz10WR8ACduqxgjwPyxdc9JzEg/Ev/qivMWrOqKXkmfogaGxnwEjV8uTsY3 cA4sXlXxb/KG/BmRLHtpnEX2qpAP7n4/sHdB0PQEapB7qcNzA1OaCs8alejj BwJvwd19kSfkS1ecR2dwgfkGvlQ2DuDPTRXvE6/DgefEck6s4BozHLGdrfv/ EjgAHrREP/tw4blxYPSpDvF/nRotbEdr2EJ/bg/b7ynb7/h8XPgE36PzvWHv fHwRM0C/ZHpRwzVCTWEnvu+ImWFG5DZYwb0Lwp/MF20V5wO9eX7IpOaIOzjY L2Yk5uLuhjHnWOFz8+MsfXhe2LgqcIccJa+5C3/RK9uin6ITtl1OjGq2j7xa GnPO0Oj5C6Pf83588I+L39Cv1LyPjCfKjhnxGp/sq/sbni/awt62kAl9TmAl M/nMqPs+Ib8jdOgse+4hFjOTZ56/SeZ/ZP+TuvPfhfF1Zsy1e3P3mOe1/llP VfwHc/uW2sNXjzc8Ey/X2f11Y9yu3P0AHG+OfkBdgHVbxf8b7XeK5/zCmNVX 65TkXJ+k9cf6vVg8s2JeWCf6xsw9tqdna+9inR+sdbZ4Xqm7L76svb69rTuz +YrcWHC31iW5fbqscG9BfhFzPvz4akf0MXQenVyzo5J7MLh4b+Ga2h44fLjh +WmWeB4o+S72mZmOBC7xrQUGbgXjk892SJePx7cA3wTDqt7vqdcmr9Ts1MJ+ /qz4V4Yt2HRDbsx6OPmeZREL9MY27MK+g0GfCIwjDm/G3ML8Qg3tjZ67MPKZ /GRGR+YluWuDGjlSt7+bQ+byZPl/jRmbOievmLOg2TsQ36D0KfoOe2Axfp0X efGHqvvZ5JjT4bks6vWNoKkLZJ3t36y36d6rpcgenb+msI3TI8f4jgGX6MU7 os/Re17PPW+sTq71cRGjIYXngJb4roKHPvXP3Gc7k2cyes2tuvet3PLBP+aC yWHj2vgmAHPQi9id/UaAh3mDc/RedGPOZUYAt6dHTIktsy/vNjSMrZxZIXp4 Mh4OS+7FzF7k67W5a+TOhufwNeHfa3LH4mqtU3PX/xStk3LPMRNzf+czV+xN 7lvUaWfD8z95jM2DUsQotx3Q2Hs85iFoYtUZOUAtlmKm7Aod6S9gWc//D5mx sT2wj/wjx8Bbap7c/ans7t/wbMOMszJy/eZkjCQnwMw+0SvpmXyf8Z3G9wsx I3ZPS+fvRa6Ss5x7Nc6ujvmTOfSS+D5dFfLHBg5Tz/jnQOZvYb5H0P9Y1Cvv +a6kByCT2ZzZqBS4CX4+KJlDooe2RP4iG79Vo79T7+h+OPR/sWZ7hsc349Ho 2T9M9vuG5G/Z03Ev8S9XjZO76q6D63Lbeip4mAFLMQeC02eixthrirPl4IEG 07AP2x9KrrHu3P2RfkGPXBI9mbmIOJyOb/YFMQvQK8kl7Bke/z+gM/Nu74bn D74V+NZ8IXhGBw6dzT9W6rQjYrxC67qwf73W6wrjyPWFawBfzC8cqydi5jmZ /D/OqeT9ZRHH7rrx9xntv171Nwy10x79gr6xLTmmi3N/0zLrtSbHeHPI58zG wNh3ctcv37L8NwNNjU+Murs/eRYrxVm+FziPXGadE4Fj1E8pZjlqGv3gOxO9 nNjtafj7YF3MyOwx5xyMfr09+R08b8rWkcl6ztDe/wGdsZJs "]], PolygonBox[CompressedData[" 1:eJwtlntMlmUYxh8++Pi+931enR20MGyCUiO33IQmqcnK9Y95ANQOyz/U0tTs MzW1GK0MYSvFxBqipstTWmm1bAp5QguEQcuwPKRp2to0m6cO6Nas37W7P+7t vp7rvp/jfXhypswuS8Wcc6uQDGRk4NwVBuqTzt3Rzbkx3rkP4s6VICPgCsBv YbcMXIi+PHTuGLgHzrXo7yBfZ9iYuEp8Dmc6V4F9DvZLkXPohxPODYe/Ff5u cAU2mZFzeeCB4KXgnuBWb3PvRdrQH8GnGr0Ffjz8G+AG1kowVom+BylOd24/ Z9iN3uiN+xT5Er2IsQr03fiPxH8x673KerWMlcCNR95F74SfAr8Qfi78HORO /F8Gz0Ovwubh0O5Id9WdNXuhT2NsPdwF/BfgX6Y7Ad/EpwG7ufgXptuZx8Lf jryG3sF+b0PvDt8b/Ar+6eBq8KK47WkCcxWCi8F18P3gi8AjwP/CHwntjfRW ceQEOBuch16JfYT9o4wNdXamLM7zhM4Yt7HH0UvhVzDXd9hPApeHdndZ4Db2 f5r5TrL/csY+gi8An2Dv5YxdxXZJaG+Vj30H9mtY44b2wnuPgusZ2NvoDi6A 3wvMV2cYqvgAPw0uAE9n/hngHHAuMhj7/MC4LtY4BB6FTQqczf4fQ+8f2F1q jsvwfcDNMYuJ38D3sUYneDE+A9BLkC3oN9nvdmyrkCPorzOWB7fP21k8653G /xJnmprm3LOMXYKbpXhm7mbsU+jNyCC489jvxP5N5JCzsRa4o4HFSgrcBZ4c 2V2X6oze3khvpTe5C9tekeXC/eB74Wcijez/IPh59Dr4KGF7asH+QeQM/Er4 h+DXBabXIcPAKfAe9CbW60C/wdhs5j+I/xr2+jNjTfD7kWlwO8Gfo+/jPDXw pYydj9mdlaEv85YLuoMa9L+93U0T8/2FXo//cmzfx2Yq/uu85dpF7Neqtnjj usCbvdUA1YIX8bklsBxQLuiNu4GrI3sr5bxyfx4+bXGLsdXoDfDt7C8dm8bI ck65d1U5je7J0bSk2eQyXwx8nPsbw/qjmW86cxyIW8wp9hz8t/BDwMXwAfgf 8Ff4Z8F/ElkunII/A96AfwZrr2ZsIvab4bOxfwr7TehVyGdwb2O/Dfv+keXy cNYs8pZjyrUY+Dh6PnNsZRt9Gdul9/Cm/8ocO+CeRCbCd2C/EG5IaLmgN3wO fDEwrh1ZAH7J2951Z/PRf4f/Jm41ahy+EyKrrcPYX2/4F7zFtmqSatOK0GJh I3wDuAY5lWk1+wrch7qDuJ2xIrSYVexqj/d4q/mq/bpT3a1qgmqD3kBvke8t NzWn5v6D/exKWMwqdq9FFhsa+xN9BzIgYTVOte5c0mK7FekM7Aw6i95Mb/d9 aLVSd3oM20HeepliVLGqnFXuKuYV+8oZ5c5l9rMWvFcxGrecbk9aD1EvmclY D+UX+BnW+0UxHFkPUS9Rje8HnwuujVvNzEGPRearnE5DX+8tdhVDiqWjocWC cvoH9ElIOWvPYo3J6i2B6eo5A731HPUerfGAtzvQXainn2W/mxi7nmFzHEha DVItUg247q0GqBb04b42RlbzVPuU8z+hr4wsllVz6tFPBmarGN8Anh9YrqhH j4ss5hR7ijHFmv4A+guo56r3Lgos99Rz+nqruaq96nnqfarxqvXac2toPU29 TW/wI/o21fyE9XT1dtUs1S7l8NnAckS5ophUbKrGqtam/V8LZnirpfqTLEHv CK0WqUe0o4/2lqv6A41VbQitlqinNKl/eatlisEvIsth5bL+SIO9/Rn0d9Cf QX+HjyOrFdrz9shiSrGlnn6N+eZEVjsUQ7Vw/wGXNUqZ "]]}]}, {RGBColor[0.776339921990172, 0.8515695601965603, 0.9078894152334153], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmXuUllUVxj/mu703FCqFbKkwpCJojDIYsNTMLl5wQFG8NdhlhaUo4zWB MePuBUXItYR0WcFIKiZpJUpelloKyJiCzKiYoNbyQoguDEFctnp+PZulf7zf 2e9+99nnnH325Tnn6/+jtrGTGkql0lD9lNVu0c/NlVLpO2rHF6XSc7VSqVVt S7VUGq1npWSOU/tNPbeJ/jArlY4X/fW0VOqh9tvB/6v6/U3PSNGnF6avlMz2 qr/BHyP+k6IvE/+Mwrzjpa8umdNirE8r1n+r6DPUjtPzsui1hedznPo+XbPO Js15VsXv0E8VnudRkjkm99xGiJ6hdoNkxkkmVbtbfdql80XZ4GPRF4n+b8Vj Ly35+8chc3XZ62SN361LZ928B/X9RNHzRJ/L3PT9TK3lCsk2Vr22GxKNr2eH 3udXbNuWsvu0xHpfQEbtn9VOS/39e9J3nWSf1zNG74v03lNjLVT7Az3nSP40 jbWkbBthn1uq3qe5ojc2mGbOd0hnu+SOlj3OV98jxR+Yen3NVa99R8X8n4pu l8x7GvdXktm7Zvol6btA/CMkc4j4kwuPc7Hm0F323Fao3ajvr+jZT98WSO5f 6nupZKdI7gZ9v0u8vfT+rPT1T23L/jXbc1jqNfTqKd/SXH8penhuO2GvZdKZ VO0rq0Xn6vemnskly27BryR3jehBVduIdnCsa3phHT/PPP6g4DMn5jZL328S 3Sr6UI17n+j5ok/NvQ7GOlfvcyW3Rv3mSc9YvQ+UnvF6b6raPthzZtXv8PHf Bq1zqWSfazAfmS3qf7Do/TXOTYVlblT7QcX8YyVTqtg27CN2wl6s4VS1o/Us KDu+Pqzah/oSa3reEH9n1X53kvgTc/MvVPuE/Owq8b6v8SeHb+Kv3dL3UcjD o/8qPUvUZ7v0LVb7TtXx+6jWcbLm+hXJDs9sF/YDvR9FX/Q8LP0tasdKZpLW OUhyH6rfbbnzzuVqL1K/v4vu1HN2btti452inxevW/2+FeskppqCZr2F+vaM cRtjvsjig//Q00/01/Rsqnqu/YLGPx8oLNsefr5XzTmHdRShs1fN3+BPl32e 7FEq9RZ9b+5xl+XOVb1C5sKwAz55VN164O0Veoij4/R+WN12man9PbTuOfL0 wXfFXyK5cXWPtT5siC2fkvzpdcc9e1+PHHKP1tJf/NdSxyD0Afq+tOJ5MAfs 0Vi3DW6oOS6IAeaDz+FvQ2v2K/agK/wEf2F/yRHEy3l6P1MyfcR7QvPcKv6Q knnMebF426T3vdD5suTvUbtGbZo4VonTLfp+YKz3cGxQdw6di76657WiMP+d 1LzDg39WYhp56IGJbbqSHKX2YbV3FbbBT1KvFT5+fJDaAfXPfAEa35igtfet 2w/Zh74xtx3hV/jX6MJz/lLqdfereu3vZqb3Sa1zc/hYY+p8lCunHZw6LxSi 056uE/vJf07QuG+FLYnHGXofoG9rM9ehzsxx8FDZ/rcuc61ar3ah2vfLzkNv q89jDZ5PV9l5ebfoyTWvhTU9knlfHlU7LMZEnnjBVnnJ+0KMEV/ULOoR2OBq zX+e3s+TDU6Vzl1l18/x0ZLTWioee3fgAeIUXdgDu+Djp2ee81b2NPweO5Oz moIeJTucrGdR3fYeEvx1muBDGivFzrnHHSy6rjkNlsz96rOk8BxeFX9dYvu+ nNtHyNXY6pLC+XxSYX307Vfyms4vu+7PUp9XJT9b7c7UtX9N4TpKPf116pr3 YKx3W2b9W9V25LbLPMnM0biz9bQm3nt8YKC+3y65TnCG6PmZY/uWzPXnubAn 82JPmdtrmevfpszjU+OpC9PqXgMy+Bn+1kjdLGy3SzWHc8quecTvfYV9/l61 5cTYaFzkX/LwEPlYZ+Rqcjb1mLo8QjrbEssh8x/1X0FMqV0vubJ4byb2uxVh kzcS8/mOb5xSsR+jZ1Ji232aup6tl54Jhed6PZhN472kcafn9k/ilZgiV5ED yIkzMuOwOYGXxsQ6H1GfRPzdEaf4ObnoD7lr6g6wq/puED1NvMvV/y31v6Jw bsIHwDdD9X6n+M1qG2uuwWARsCrYgNzLOAuCJneSQ3n/cuoYJ9bnB+ZDhhxJ fidP3kmOAhvEnmyKdRLnHQ3O/+QG1sv8+0QMka+W6/t9oQcaneB6bDyq4v4d we8dOAQMAla8s+waAt1c85x5x97dkQt+W3fdomZ11I0n8TlwVkfFdgJftwc+ OTi3Lx2SW/6ysOHS3Jj7d2qvlU26RP9Y690efgw+3ZDbz7+YOubJZWCMxqjn 1P3NqXP38sI1aHxiW5YK16JXCmNh1rEmasphUS/AtvgV/k8NODdo6iK1+lo9 w8DDFdu0SboWa55HFH5fHrYF3xHXxCbYuTXovoX5j4GnAtN8lNv2y2OP8PVl DY6LCVp7m94Xpfa1tsg5yC+LsZZoLp+EL04se67XBubJA1fgs9T4ibFfE0MG PLg9bMe5hzpBjH8Q+QWcu3fETC+1d9T9HbzKPlAbqAs9CtePhsiXeWDg3hGn 16W28diIR/SAb8lfG+rGeNSOcVGj0E98Eqd78Dnv0Jx1qDd866q7P7VnStU8 9HQnrj2bZdvXAuMR0ssKY5tNYHkxXhf/+tx6wLVg0ZGJ308KjAqfejYzcgi5 5JTMZ+Hb1XeK5KcmrsXIdcV8WiOfk3PXFY755+PcSW4hFoiPtti7SZn38YPU 51fyBXlgVmb6UY31TNSSWwvnCuZDviBHXpzYJz7Vt9Uaq5x5n9l3fIDz5fDE 68LO7DW2JgbBW8QhmAua+GW/qIXIXJVb/uyoXfBHxz5SG9AHrlsdeO/YzOft G9XvZ5nXe39uu7Bf7BHnK84oqwrnA/TgDyNjnshRZ/Fv7LO68LnmmcL+hF9R B1piLxp6OhaxHWfB1swxzLkEXLc9YpmaR+37YeEac0rkQMb4JHIRPOoQMTgq 6tH/MVLiszpYb0TQA8K/XtnjYw3ug3xH0MQrWKMl6to/C4/1dGJssiviGlu/ HzECjiaGwNbUVGrrlMJ3DJz1wMr4yiehj5xCbgFTcGZHLzrxzSlh0z6Zc9c1 ufEBOOFx9ij3uP/mjFlz/iI+F9bsr+T09YEnH8hdJ9+KWrModx5ZmBs/vhEY jLw7J/DMRVnkn8z5p5bYN8fH995R78YHjS+dl3zGg8avOENS035fGM+0RnzN iTyPDL55VvjnMZnPTkdnzquTIkYuDlwBPtnzTi4t9bTf4r9gIvpSR6kRZ8XZ YWbdmBPcM0xyuPfywOP4B7XohMy4+CHiLfNZ5URiIvrTF3/Fb8klozLnDrAz +aYrcs6zVe8dPsZ822LO+N3k4LOvIyOu2ZO5gXsWxTzBe+gbGTE1PPyBnDs1 7p0GVD/zafSQCzoi7tAxKtaL7+LT4A5sPy3OnqwJul/gzOnBnxE02O43YSts Bm9GnJM5s3RGXDDWzM/pmRl9d2m/Hxe9s/BcVoQN96yHtSA7K+QXB2brEf4O TW3tKDwWmBpsA5YGB5DzyIMbo+bMj3tOYndZYKPOwKP4EeOPinMH/j4rzkLE DDmR+oUM38En4JRFsS7yHDLkugWB58H15PW1FeunZTxo7o/AKS8UjhviB6wF 5oKmjhOfzJ/cNTvijliYHvuCTdbE+Xqq9P1FsTpA/VfmxqDgOu7KWAPnOuJ3 eNytfZVzUua8050ZZ4P/7hb/6cx56hm1u+IehvuYbbnPydsS42HGYmzOzWCe zljjhKC5H20MzNw7tc1qhXMKueWPovuJngrOT32fwbyZM+fUrZ+7l2iOtXBm BlePK6wLnV9IjRPQA5Zor/qdvR4TGAI+WK45fKZZem4Wf6jaX+TGf3213v1z 5xjudE/KXcu4O2RMcgF54InM55AnM5/3qJ0H5MaEswMXcka4O84J+yon3Mje xfmM+xewD2dB8nJT4Gbq5b6FMQHYgHMM5w+wO9h2cG79g3JjtGtqztkHFvad JtnhG1GjyXnUA9a7r3i9cudY7u1uiRqAf+1T2GcPUt8BhWOlWXRnYnvP5Z4z 91pOy43fmTex0BW4Hfx+mZ7V4r+d+i6bPEm+5L6qOc4XIwJT7clV5EFinPuV 1YFX5+aOvQty36m8G3csV+aWvyJ3jsGe5BnuSrlvwk+4dwTbrYo7mNfjHgac DR47Mvce0Pfk1GcvzqvU8CGpbYgtL4m7Cc7Q1P+NcSZ6NWh0cm+3Oc5jfOsO nEB+xa/agkdMZYGryRfkioczx+PKzHeqb8caqf/9I6bgvRPnIO41uAt4MXee 64qcfX+cZznXpoX9ISlcf9rD/1cl/k9jssZaH/cn3KO8G/oZ90+J/ak7d6wy B/x+SeQQ8tQafI4YVLs291ny2dx7Oyxikzsd8Aa4Ax2NsZb/AQxaVH8= "]], PolygonBox[CompressedData[" 1:eJwll3eMVVUQxi/7eLt7371UpaihCwIbpO1CMBIViQIGpAcUxAICglSpaxRh KdLRRIqJhqb0BA0IiIQisCwgdRekCiE0pQSkGtTfl++PyZuZb86cuefMmZlX 7d3BHQelBUFQABWHasZBMDc9CL5MBkFOyG8UBNfha0FXU0FwC3x9RhBsZlEZ 8J8yg6AZ626Dz8N2GzY3cdQW3WGwLegywfKR9yE/yZoayOPZI8LXR+AFSeuE LUVXGf+FiSBYBD8f/C7YTHy+hu9cbF4Gy0c3DGwXujtgo/BfiP/h6K4m7HME /GV85OGvLrp9rF2DDUuCY4oBvFyJIJiIrgJ4gG07wNn4O0B8vZBnY3MF26rQ FbAYHxXhR4MXA09Dt5CzOMqahfDfYR+C5eKuN/Lj2FfR2YFvQO4LLYK/z37b 2fcGeBPiW4puINgPsc9S37gWvhW6aWAXkddh/wD7VtivQzcBrFzo2P5C3oR8 O/a36o7+hv8PvBP8dvA54EXIB8C3FQuCe/ibSLwndfbE2wR8WeyzqYzN9/BF 4Dnwv/CNhfD1oAHI6awtydmFyoE0n6HOsg3ydPjx7HmJ9RughvBZumOwcZHP KhuqwH7nsU0U8x3prtJin20F7Mtg2w+bxdheRTcK7B3oE7DuxPs2fBflEPJz yJ3hu2E/F/uj2L+HfAQfWQnHeBj+ILo92LZjv0OxY1SsiuEcsfweOxfy0T2C /5w1f+D/LDQFfiF0K+Fv2gheGprCXgX4Lwn/AHxfcZ/x/chnqrOVj6nIedhM BdvC+vuxv1Hf+hQ2peEboluIv7bo2iDvRl4B1hL7fPjyihdsP/uVg8+GlmDf WWeiu0k5ly6iGw62AHkv8nr23KX8R1cTX1WR+yEnUv7WrtDx2Hequz2G//rg z4NPYH197IcgH2ePV/G9FfwYfBF4MfZeTozHM+1DvvQm9DZGsOZX7HdAHcFa pHxX0nVC/lD5jfwP/gfBj8R+J1gee76AXDZ0rdmG7nXs34TaYrsfuSd8f2I4 h7yDGAbAt4dmIy9D7hh5T+0tn/I9VGeadE1RbZmlGpH0G9db1xvTW9M3HoL/ jDVjwcZAVcA7RPbdAWoJVj7lXM6BPgWbHjl2xTQN/gI2dTJ8hs2xrYuczdoH yAXIK4mvRobv5CzYKXQZSdfM0/DPoGsIP0NvAtvayI2Srnk7wTdD14q7RqtW Nwh9d9dUg2K/Ab0F5UwtfR9yPfaqD13Btkfss1TNU+1TzVPtU06Xgh8W+ux1 RjorvUG9xS+Qm+p8U671N/jeTvD7oIfFXQOX6rxSfqs6w6rIQ0PnkmpiO3x9 g5yL3BK5Ofi3yB8n3IxGsnYmcs+Ez6C/3iNy94TP4H29JeQ3En6TPbAfiu5C unXCsqAjafZRUb2FPWprb7aoBL8x5dqsHnaQ+87G/kSaY7oF9ljo2qcakqFa E/ttqQaqFlYL/fYVU5nYNU61bio2ZfXWQr/VHuA3U84h5VKu+g9YXeSJSeeE cmNnpt+CeoR6RZ3Ia2WTFXmN1s5SjwWfH/quS0GrwP8MfReqgaMi1yzVLuWg crER8mDwWdoT/iG6TN098l7ibRwZU81V7VVNUW1RzeymtarP8OfZb0jsHqZe 1h65CP4uNgPhK7Lftcg5rlxXTuyF782aQr1dfFxDvsz+z2Y4J5WbynHl+gTl q3pV7FrdXvU49JnqbNUDqiP3Srn3l0C3UvUd+RF7/Qsdgr9LTL8lHNOdyDOH Zg/1jCf07eon6e5xP2JbO/LeinEy+KDY36qcmoM8WvU1cA0fA38y9Kyimr84 dk1UbZTPEHlt5Fi0Znema7pqu2p6a9UiKDvdPVq9elrKs1IOuj2avVjTJ901 XLV8bMq1tga6TeB72OOVDL8ZvR31dPV29eDy1PKzke9Gb+AM/NOx365yvIZ6 S+Szi6Hl8Kuh0vAtsLmt2Sr0W3wJeTv2+ZFjU8yKfWPkWKpDG5TbsWdH1fTR 8GtYPyfhHMvD3+HYdymdsLdiz3aq6eNCx6BYNBNpNvogcm3XzKXZ6wxUHewU 8iTdFXQi6RkmD75p6NiVA8qFNOSihGfKJZqnkLsk3TMbK9aUZ6Ml2GwMnZPK TdWI6ynvob1OQ5Phu6ZcO5Sz62PXUNVSzWitU+6p6q2KcQV4pdCzs2bireBf R367mlEXRH6zers6c539pdCzrXqUetWk2LOeetrq0DOeZj3V/J8164CXyPA3 6lu/it3rpZsHX4CPpcKQZ8SeSTWbqgb0gZ8eG9OZ6Gz0ZvV2lXPXNb+Evnv9 J9B/g76hZ8Nq2CyPfee6e82kmk1fDF1LNMM0AG8WurZrRihkv12xZxnl7D2w 06F96Q51l+qp6q3qgeqFq2LPRuqRq+H/B3Wvs4s= "]]}]}, {RGBColor[0.840826691031941, 0.8730741793611794, 0.8789994004914005], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmgu0lmWVx1/O953v+97LIQW5RWi21CCxNAIOmsNBPSmXYAQDFAWFwsoL mg6XsRJMQVwKojIrQEvLCc8ANcZogo0QhqgkIiSCcjNh0ryVYHEbnf/v/DfL WYuHd3/P+1z2s599+e/9nhPHTxp+bV2SJBeUkkT/kpvzJNlcnyQdsyQpl5Nk qdoi9f8j9e9niiQ5uZIkA6tJskcTH1Vfc9XvXtbc8/Rui56b1AaI3qznCK13 ocY0aMyYWpIMFv1kYrqn2iD9vr3k58rE74fEmE56P0vrDFb7etXvGNuotS4X fVzi5xVBTwi6i96P1XOcWqb9Lwu6q/ofrHlOZ9HrRHfS2o+Kz0RnPlZ9fxB9 q+jHRf9S515f+LyHRK9S3zDRhZ7/m/r5ot7/sfAZN+t5n57z1f5T8ilr/Z+I 3lDnsazJGWeVLLuZetZXPGas+k8SvVj0EtHtNLdF9Nua+7javjaSq/r7VNz/ vOi5es6JvergV2261sw092H1v6b+4yqm79T4KTrX/Xr+XnxOzny/P9U5Xip8 ro16vlBY/odTy/0q0RM15wXuS79XSz6Xl9x/pfqPqZln9GFaZh6mZn5/dczl fJwTOawWvUqtj+hdhe9tu55jqr6zVPfVrHZqzbw2VU0jq+H11hl0o1n8teh3 +wbJQWv3UP+16v9y1fRQ9f1BbYjo9eis+H5I4wfpeURrLRafN+q5UbzuEC99 tV6DxhZqr+v3drX5Wu/hxPvDEzyw9ujYa4D2uqT2CY+XBM8Pa80tWv/nmfmF 70Wa26vqufD4injqInpLxXoOn6M19+vwrvZfiW2C+cylj3cXavyXxOssrdlW Zz9N9EzRDQ1ei7vhXm6SvnxR7TS1oWXL99PorWQ9SvQ2PadUTLfT+MWSS6bf j+S2lbFhL0ftp5foS6um6V+rs22UjLpr/27xjv6j4ya28Rpjon84vHN34m+T WqrWW/M/0H5l0aO0TlvRnxE9MbX8JoQto1/YBjr2NHaitdegk7GGXrfycF8b 7ztPfXeztuiLtOcItZUae7vW363n7Nw6iC720e+7QifP0Dq/klx2qe8N8XCD WqPoD9U3vGLZs+/bOvsA9c/XOtervSX6z6mf56ldoDEdtWcHtacqtvVy2Pts Pffo2VftXL07R+30xLqKnjKfs+Ln8BUHgrdWHrXHUvUfEj9rSpZVZ/yAzrpE bbfor2lus1r/xHqN/qLHZ2nfM9V6as4Ptc4QPf8eZ6Wve2Ldx38sF70C3yz6 9/gMrfe1sMvTcuvejZq7Uuus1ZqviJ6XW5b3hGyhkeewim3x+6LrtNZxGr+1 8DlHJZbVRxr/bJ194Fc0ZrLGDNSYj7VPv5Bnj8Qyg8/lNcuspjHXpX731cz2 1Dlsam/Jcxv1bkbF99Uk+m6NvwL/Vfg3sQ9ZPa8x89k35No1ZPtGzbL+SeF3 jB+m/vdS29rc1OfhXCXx8JjW+RfRXfTuav0+pOf7GtNXfX3KXne61vx0yXp7 fmF6gsZMUsd1Vcvq+pJ//0D0qja25/PUhkQ8xK+ik/9atV6+qvEnqHVJHIOI CZ9L7K/mxh3cW/U7+tG1qVXfwZCgWfdgrLk87m5a1XNvKVtXkP8DZZ9rfMl6 h59B9zrpvH/UnU2XDvSP/diLOfDGPc0PHj5bZz/I+teETTdFjGO/SSGH8anP 8hmt3U3rTtX6x+eez/rtw0bmREzZqn264V8S63u3kAmxnPi7SfL+d9Gz1X+L 6Hu1Vz+t2ahWKvne1JXco//6qq9PvWMksfI5jW/R8yONmRzy5mysT5wlnoCX 3itb984X/aPcd7MjtayW1tknY/d3hc/hfHNCVnPC1o/Sc+Nc67Az5F2yvJfE OiNyx8HbxdsXmKtxb5bs/9gL34BckS++s4/kOE1jbssdW8ZEPMVPfiP8M/gI jAVGalHfI2oL1NYWjnlP69msd+eptSs7hqD/xJGHwsax9e1Vv+eO6GsfYzbV e377wFvgrhdy+ytwDD7rGPHRVvRLif1mObDokcL+c29quXIW7gHdnBH+DcwJ 3gQjtWKWsn8/UPJeryb2Z/VlY60fZqaX5461ReA0sCF4Bp64b+79NvXfkXtf ZIm83wof9dvCMX5lYT/0IXqi/mrFNsPv39Zsu2MyY9XLI8Ytqjk+Q/dT+1bZ Oo7eox+5znt22WPEerKmZvu4MrPv/GvJ/rMlt23+R277hJ6ZWB/fDD7xYe+G 3xucmf8FGv9YzX0XqK+m/R7Tun8W/a42vKNsn4oP3hN6j32ApcCWD4Khdc6f sk7h9d9MHQP3hh8+ITPeA/dhIyfWu/899fcQ/W5mrMT9cXeLAvNBP1/4zs5M HYegubvGiKnwhZ40Rz82wVx0G9vGxomDNxWmT8evFPZrk0RfkBpr31lY95E9 eotcf4yOlyxrZL5WZ7pBv39Rtp8mLhA7kOu1mfuv0fOSzHMvznz36AB3wt2j A6u0zmWZseST2ndJ7jHjiGWZ9aCrnu+XLa/zA9ftD2w3L/IC/AD3yxjkyT2j l9z105r/jMatyYzvjpStwy8F7gX/jgncjW4dVutdb73lbPg/7ndkyXe0TnO+ l3v9m/Cphc8+MjMOZTwxi3OyVqv+C5tOVP9hnXeknleSY5asF3eEr+Q3Y7D7 cYEzwZ6DMp97Zc24g7tEn48Er5yFPfsGn9hpY9z1QPH3PrhIazxas+6hg9jR 0LClrkEfIdeQfHZUHbtoO0WfmBin7araZ+PTdgRmZl9kxHnxc9ujf7eer1eN UZizO+j+MR+9Yu1dsf79JeeW6Ps5sS/+/7uZfc5+cs+KMSV4clbkDOQL5HbE HnI9bK11TJ1zRHJI1mYO79ANcjHy0pEhp8nhH7iLDjG3OXg+I/AkZ6Ev0fuP q9YB4jC/ocH1/6yWtHH8uDDoGYH5uQNwxdDIXw6pDat90jcs8h3ekeMQp1bW Ox6B28HvF8WaR3/zc0W984qjew6Pvb4R4xmLbwRfDguc+XHQPFkE210XY/Cf YEd8N3qLfmwJn0wsPhCxmfdgTfIf7Lpz0KNlF78STxcHBj4QsXt93Bf4ivfc C76GvIb8mXrAA4Xj11mZbfzSOuO9fUFj42BHMCTYBp09O/SWfIv8h9ynW+g0 /TsKx5jXCudG3aK/XcTuMnaUG6/2yox9oDuDAXLjcPD48Znj0ZGa5xG7NaQ1 fjcHBjg58/7v15z3YbtptC1hay3iY6qeV6bG2JMDD4PZpgRWu0X7btWcX2qd bSWPB19R+xkT9SJkAJ5GB5bW7K+xqQ8C52wKu8jCT5PTkNuAK8ABq/8fFlgb eGBOYZqchjoB90K+SU2grdrNJede4DAw2Ibc68zN/L4h6gZF0Ox19PfywKLk YOQUvyuZBqvQzowzdguaMStKPiPyIQ5wRvzXdZlrF5P0nFIyHsWGK/iuqLEg S2SI/BoDTxDPhmb2GZcWEXsjLjdGXIfu0OC6QJo6Dz058m7yxcEl5wvHav5s 9Z+Ympdzq8a+5KzMIf6mhX3HK5LTqMzzyTvxXcylRrE/8prXwXgVj2F99P2m iGvEnFsrttF9USugZkC+sj5yobcrjrnc9WLt+1m9e6SwP+cs7SLHYQ/WB6OR exDTP1VYJuMKrzUreMNPjgxMdVXkRvQjD84IPnwis788LjUubgo54Ctvrji/ nB40vhQ/3DfyIPD5vLDrpVGvgL47MDu4t77knOTbbazbd0c/ufX0WPOUuCP4 Ib85JeiGwvk7efyEemNpYusH4Ezx+ZDeX1a47jCmMI8zgueqfv9AdPvUsQ+a OEXdARtYnRoXjQr53BWx8XNhdzcEJiSXJY8jRnJfQ0L+vL8+xpBrHozaypbA tGDbcpz7o8R45IrA0ht194tFv5g7dyRHJX98NPKfXxf2yeNjPLF6e8R0xs6J 8Wsi3hBryDfJkYnjxDVqAcSFgZlx7FupfR8+sAUsFzUd/PbF2u85/R6t59jM fFJj2FCxbKlzINfnogbB7/UhB2p+naI+CXZE9sSmRvREbVviOnpTyJ++PtEP Tm+O+6LOio5SjyBWY3fgDejdEbtfCmwPxgd37Iw7Qz5NYSObIzchR5kWNjI0 sM+5wcOruWPqttxrnxN6SO3/3NgX3wqf4PYRFdcpkPdtgQtnRnwfWXHs3hZr npB6HuckPqIbzMV/dirs2z4fdZKhcV87427RvROq3o+9iK3cz5KI9R8FbqmX f3tLdKXB+ktdGh3uofUXsWZhX1ofenJDYX6v0t3+U+767vcLv6+Evz0p7BPb PB1cUbGvPCt1DDitsD9bFb5ucORh6ACxBn2C13vjLMSysvh7Ar0HU1Qcm/EF xAPiPzGCWnKPqCefkpoX5MS5vhx1FXQXHSYnw49ODQxPnYY8nBj+l9R8/6bw ntwN2OnUwrW/noV5ph4H38R85oIBmgrzN6Bw3+box2Zfr9gerilMX11YdsiQ bxELonZKDfXB1DG2Kff9wAO8fLdwfkSe1C94IB/4TuF4Nyc17gMLgv16p8bC J+v9Qr1/p+I4yTzuhbl/Lzsnx0/srThvQZdKDV5nJ3iWGit+qXAuAsaitg0+ 2lgyRuKsL8d596SuLVNjfiLkRwwHpCDzgZHr7K93fnY4cDDYhBrD4aCHRf3/ YPw+GPr/49xzf1Nz/jq15ByH7xRTgmYua4KlOTfYgHefD1l0L/x7cowHJ4AR wB2vpD7XodyYc17Uz9+JeLQ7sY7ODJsi1kG31mRKjnv4c2pU2CE22BC4CSwE X0fPhD3BA/4APNym6jyFOsv0GE9tHX95X+7vKnxfYU+wxoCIs/RDo0+La8ah YFreMRbeyL97R6zfF3YKPrwn6tVPpX7fK8bwfXBhzZgf+6If/Vsj2fUX/WHq fIy8bJX63i67PkL+NKtwveE2vh/WrGvkr/sy39cy7bkhNf67X2M7VLwm+vo7 /T5b9GpsJbcf+1Pu2jE1HOo6t0YtkZoid8t4+KB2dXvcC/Z2ecS+T+WuXb8R NTxkhHzItcEC3Os/MufkB6gz5PYxf82NwfZFzZka1YMhE2QD3TkwPXUrTAvZ sz6+C1x8bGBsaqzUWn+hc9RyY5FUz2XBE+vwbAma2sDEqA8siDHwDK/wjI+l Xj49cj3yTmjcLjngjNonfTNiDDwvCv5b4n7ZizwM/UP36FsQZwHfnxT+fFB8 NzxD59ib2UawlSI3n9Q2NmSuR7yYOY8vIpf/ecW1LOpQ/5O6bkb9Ej+AD+gX GAeZa2jyt9yYb7TGdimMSbrik0vGQ2ChkSEb7PKuwrHy+dznWxj8k1etiFhB De+dsF9iK3cCfpgRMkJW1OOJPeQIYIH+EevH5/aH+MW/FP5mt6/mb25p8DMm Nc37VVGr+rfc38zIK25Mrfs74nsqukBMxKf9OrfuHkhtR9gQeBrcvS6+B+0p 7F/+Rg0+91oLIlZsj+9b3UJWXaIWRbwDT1H3Ak+BkZ6peZ09EbuxdeLjazX7 9Q6Zc2T8Onns4ajV4aO6hL/njogJYG98x59S1535ZoiMO4ZNLYyYA38v1xxv ntH6T9aMm1/L/e2NfOfm1LkmOoZ/BasQK1pxYNn5LbqKvSwNG+abN/XNEZEP 1YceJfFNlxyOui13X01tx49HPWFxrIOdkh88GzJaGDaIDWys+T5WZK4j9Qk8 Rn0C30XOenbmeEfcGxCyRs58k54V3wnbR20AbIkdLwv+kQexl5oJ362Jvz1z 87UszktNn/XJlZ4KvVoVtcxBIR90AMyGnJEH9oat/Uhy+BmYJDV+/FnE0HtS x/vv6f3phfPaJvUNFb1a/den/qbM9+negdvQ1a+qv1dhGVAnpiaBHyZn/0Lg RvDjpnLk3iXXgPAtX+FbQOG849TU3xjQeXQfjILv75Pa5xA7iZtTC+e00/g2 GPgHHPRu4TGl+ObPNypqkMTvbcHPttQ1J0AiNZOjf18zK7Vddc/9twfUuchn uU9iBHiyZ6zRPXFsoq5IDJ0e+czYwnVk7uD41PkLOc7o8MnIDj+MrWwMO6JO xn7cNf3YGHa0LGwZm56odbeqc3bq3HRTrDUucnPqFuAS1jycO2/AL5E78B0G PUFfLopaIHVC9twa+54VessZibvQL8T3W+RArKS+Sn6OvqG/fBekPko9tfWd 1tmeO4fdkdtf4DdOyZy/LwmcRJ69NOLUi5GrPpna5+J7qTW11jWDf+oj5Gtb 80++UZE34VOfCB97TsSAdam/kVAT+WbhGLUkdKZt4drFMXruzJ3r7opvMmBf 8Hu3kAH5AzaBL8YuqJdMDSzIt4ChUUOkHrY4eOZMS+Jc21PrIfr436Fv6N2B wjjvVj33Z16fb63oIPGQugTfUTuGXn0ztd7wDbxvxKzWum7J+BkaHUQXsRNw Hb/vjPtaHffSMcawJvUV7pFaFriSeHx/xFT85P7ccZjvPuj5uNz7PZu6BtIc +eyR1H9ztiHym8ciB2sJrMod8VwU9IQ4y0G+xxX+u7h1en4rap38bcv/AWyz 25M= "]], PolygonBox[CompressedData[" 1:eJwll3m0jlUUxt/c7773O+93iNVAKuWPNKmUkCZUbt3mYS2ikcKqTKXhqoQy pIHVoJHm5aZaRYNw42owuzeuMdxQNBkrRajV71nPH3utZ5+9zz7nO+/ez95f 854Dru1fL0mSP5AcsruQJMVFYORP8DpkF3gBTmvBZTFJ7sfxKNZ6hSQ5E/2j 4iTZir01+F5kNPooYg0C12ZJUg//OuzLwMOIsQL7IawdhD4SfTB4LfFGgHsg 07HPQL8FfDsxTkTvgj6a84agv5omyVD0N9BPR38T+2bitwJ/mk+S7boPMZeC OxCjM/oE7nM++BJ8qtnbFLmd/Xeh9wBvImY/cC9kNbgP/o9jf549nbAvZK0b thNYW8pZa9B7o9+M1IAvwudhbN3RF6GXc+bR7O0bHbsNekvs36JH7nZVCe8B XoXPRdhbcd4n3PdG1q4HL2HtJnBLZELq36DfMib4bN1Rdx2LXgdOkbexr0FK wR2IsYx4y3V/9OboU9Dr0C/X3dGXo1cR4z/ufh73+RK8NPpuVdxxLN9nA/5X 4f8w/qsUD/s12K/jPqWcfTxSU893uEM25CtwW2I+w94qpH7Oe1Zg245/G/BL rHUn/j70MvTj2FOJ75H4jAP357ym4AeRbeivIMeDjwnOxUuJXx+9a3CuTkcu QM+QofgOQw4P/ib6Nr8il3HeLGQHZ+9EZoOHYr8c2yj8jwW/gzyOXoz9Eey7 uFNRkWvid/CfvEEA1yJr8J2EjAG/xf7HOLtdcK6Xq37Y36zgXBiBfRt6E+zN i30H3WUF9gtT58BK8BXEqAKfyO8fiO9+3Y/3uQxZovyLfov1nNEC3DE49/WG i9FHErMy8Z5q9E6qz9S/YSfxpyKNU9ekanMO+z/A1gD9P3Bl9Nu3Zv8X0TWq Wj0UeRP8I2sDsd3Nnl34LyNex9Q5Vgveoxpk/z70veAK/Qbwh+wfzP6G4ofU OX4weDN7uqDP5E028Lafs9ZKv5f4Q9jbKfhtr0U26qyCa78Bvo3qJ8kZ+L+N bTL7O+PbHvsg7Bn2htgPEWekfmO9dUB/IPWddfeP2X8S5/3CnhcLrhHVivaU 6L0L5p4c65F4c/OuBb2B3iIhXlvefxz6NvTByNbUd9Bd3kUy9JG43sHvL8X+ Wepv0hF8D7IFPAT7UeBvMuf2PGJ+Db6b+HNS54RyYz1yKL49OK8O/JrqDf8v kZpgDhAX9MNnFnedTIxevH175AhwVd6135f9mxSLPbPr+Ywr0VN8bsO2Cv93 wEWZv31X1v6NrinVlmr8atUj8lxqzj8N2zfRXNsJ/7ngOdynZWoOEBf8jc+F 2CrQBxK7Lfo6zu/A2lf4P6mcK3FPuR7/SToDfTW/bz2+fwX7HqY3xD4fe2f0 qcQbQrzh6H+l7gll2Oeh53L2WaD7RHPdZNbuwf+76N+mnEjEvdFcPxxprFpV fafO2QbYmiHPgkcR/5RgH/mKc8Q9qknVpnrUSdHfQN9iLHqTaI4R14iD1ys/ tMb53/H7hhfMEeIK9bwd4JOD94qDv8c+O5hb57Dnn+gepV6lOzZSL0SalrjH qdcpp5Rb4tSjwTMy90Z98+ng1azNRW+k5i++RzLObo2+Lu831dvqTfW2P3CH 61J/E32bEdG1rhpXreeje5l6UIjmLHHXFciB4BpTre3mjJfAMznjYvwT/N9A b8J5K7EtR4aiH54Z1yKPoH+e994nuNPFmWtOtTeF39Mz+E30NqrJWejlmblH nDc/b84Sd01irT+2G6J7rXr4MNVP5twPnLEW/5nRXKiepd71esF3FUf9ht4v cyzVfHl0z1TvVA4rlxfh3w7bWchi8ILg2UYz1K3oAzLXwgHVfN45qdxUz1Pv mx/c29RzbgDvYG08sY/l92XqVdHcJ84fHZ1DyqU1rD0Kbk28+3LmHHGPOFPc uYn95wRzpLhSNdgG/cjMXCGOmZo3J4ubf+XMYnxbZM6N3gfRs8HzkL9znonm gvciXfDfhv4LOHCH29AbcqefMq/J9hmS57wXCu7FyoFpnLUR+05sM9jTE9v3 eWP1CPUKcbC4WDNHi2AOE5fdSvwd+v6ZZzvFKEP/MO+3eIAz2mCric5F9Xj1 +i+I2YLY07CPwP5U9Cyrb/Y0eIpyEPwB9vuxp/X9FppRc+Bx6qE5c1w1Z9VG x9KM96+4m7WS1G+0ErwwOpY4aQ/2r6O5UpwobhxPvPk59+Qq9JYFc416xLPo LwfPFu1Ze0i1FozFweLi3sGzuXrCwez9PTi32uFzavAMqll0P2dUc9bPwbPR 0+LDgnuueq9moq76XujbweOxTyN+l8xYM65m3brg2b2ctcmqxeBvoZn6Zs0L 6BvAj2Kfgr0SvaLInDMWfW/wrFXKnRaJX4N7n2burZl7vnq/OGdTwTWp2hRH iavuxf+sIs9Umq3ODo6lmfnk6JxT7vVmLWoWRfoUO0f3YDs3uBY0w+1GvyTz 7KzfXJb5zfR24nxx//68YymGYmkG1iysGUSziN5Ub3sAqQE/FPy2mjGmYn+P PfuIPZG19wvuYeplyjHlWnXBXKycqtFdg99WPaIieobQLKGZ/c7MOa3crkVe zzxDa5ZWTiu3NdNptlMN5hU/eFYYztrEaE4Vt+o/WWP2n5PZpm/2A74Dgr/d ZtVvMOeIezRTNMN3XfQsoplBs0MpMibnbzIomKPF1fpPpv9m3TLP/vpPWYn+ bea30oxUwV3OzTz7btR/kswztmZt9bQ/8N+ZN/csZW2L3rpgLI47AN4SfFfd QXe5K/N/Ub15X/Atmd9eNanaLAqeLVRzqr0xBZ+t/6RPgAvBvUWcK+79HxQK EJE= "]]}]}, {RGBColor[0.90531346007371, 0.8945787985257985, 0.8501093857493858], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNnHv8VVP6x/fZ3/M9Z599tksot+QWEeaHcUsNim7GDMVQbl2kxBgpzYxB IfdbfMMwpJAQhuKVRkKTy6BkBsO4JrqoqKZGcv097z6f74s/1muvs/a6Pmut 5/k8n7X22XHgOb1/lyZJ0rKSJA3xnF9Kkt9GwuKIT4+0q6pJckukHR1pf4vn gRF2i9AlwrxE7692nsPLkR5hr8i7R4Q9I6yIPJvEu4MjdI34cZF2XMQ7RuhW Up4Bkd45S5ILo55pkbax8x8X6e3c1vsRvz+PcpG/VEuSNpF2aIS/RvqieA6K cEiEXaP9K6KeXeL5Qz1JRsYYvo9n13i3e5Ttnei5m+N/TNXuwoi3jjIXRPzC ktIucPp2bmtWxN+N538idIjQK8o+Fc+DIsyPPs0JAb4Vz8GR/vMIUyP/NvG8 Mep5PdFY9/B428SzZWOSfBTxdTGu7eL3RtHPm6KuFRGejfSV8fwiwmsR3yHq fTnyjI7njBjTCVF2n3h3U1X1z04Ub4pwZ+S7uUG/SW/vdodFvDfjdv9vj3b3 jd8/hOzfjN9veCxrqprX7xLJ8fKIfxzp66uqk/r7RDghlczPcRvU/1H8/tDz S7mFJZU9NsKlmea8W6Y56hTxjaIPu0cbLXKlXen0h+L5cISDUz35vVmkXx+/ v43nkxGeirS/RTgw2p3heLdET979PfLOjOfTEU6P9EGJfhM/3vHfxPOVqOvl CPtFaIywP+so0n8V5ac7/c2Q54iQ+8RIvyv6+mL0+eZ4nhtpwyPMiTz3Zeon a75/zNO0KF+O56ZeD49F+hmNqn/LiDdG/gmR/9/x7pUG1TklnrfkknFDlO1Z VruHxe/hVeUfFWW7xbvPIu2NQvtqhsc+y+NlfAM8L/3jmXvvMq7X2LsRDihp H7AflkV6Pdf+2SKeZ0Yd51U0buara6b53DLevxWhlft1nvtW9ninRtkhkTbY Mrku0v5X0r4+OPr6QKQfFM8pUVc1wv3x+8Wq+n9A9OERzztzPTDKTot4Q6ox MbaXvR7I19HvH69K59wcfRwXYZ9UaU84fZp/Ux/6aZrTN4p+XB7tbx99f5X1 HWGXRHNOfHSEIewj5JBq7oZGqER6m0Lz9rMou12hPK3jmaKfIvSKeppK2sPs 395ljZW+IQPiF7NOIv30qLNltHNY9P3LkvTPnyy3vS074i0j/2rescci3jHG cVvUMy7R8/YI90a8V7z/A2Uifo/fkY7MaZs93y76enOk/Smem9Q1rsExllVR 7vwIH8S7w93W+kRP2t7T++MMywGdhe76JvreMeq6N9JuiWeXCI+hp6LOLPKM jzzfR/yJeL8uwkURXihpvIyL8Q9q1FxdYb2HnWHtlqwzN4/+bxGhHWs7lazR 4UsTxZH5wOjHcPZXhE2sW9Axq6I/GLjjog+dIu338X5khMMKrdNu8Tyzoj7f Gr//HOGrCG2j2Fmp4uUIx0f5UtTzi0J9ZH53j7Bvof3Ivtwj4gsifnDEFxYa 15zo1+3xHB/1d4/nS5ZDq6h/WEV6ZI5lzxy0R79VJGd0RT9kHGk/j3i1pPi+ 2M0IX2MjE9mN5bYdlzm+LuK3p2pzWsTfi7Qz0ccR/yyeyyLsFOFGx5+J9HJd OnhpJpmdEmW/dvtfu90nK7JD2KBjYoyz432rmtqkHztH6FnR/jom8n8bc9A3 6vkmnrfHux8iXFJSvaSvTmVzwBzYnb9V1Aa4YrrjtNUYfdsqnhvnWkvTnX60 53PbCG+XWBBJckQi+0z80nhOzqSjx0dYHm0ti/Bb1mv8HpMpvlesjSeizk1i 3F0LxY+I5xnxnBphSOR5ItX+Qp/3L2ktYRdGOt46wtroX48YV6easAcyR8de Fu3McbvI4fsIhydaf8z/z6PcW5YP6UOjzfNTtcsc9vA8spb4zb4GwFFPnX1l +4hux/aeHeE047rvIuyXyHZ++5M46ReztjPtMfbX1lWtyTTksE0874vf4xPZ n+G2WefGc3Sk3RDhlvhdYw1EPePQxRFGMK6y4o0R/hzh1giXJcpLmTHILVH6 efHM/B6dtnf0ZyX2DF3s/NSPLkWP7h1hUIQiwppE+uRF79Outo/sS/Znk/UY 4xjVoLFgl9GP4LQLrY8+wQ6map93HWuSdYuNAuvE2rst4ofWpVd2K0vXnFST zngpnmurwk/M27CYy1Lk+TLSr4r326fCe4257Oi0XBjw9xWl35UKF4IVsasj bVtnRNgxws6RfmqU28m/B0d8z5/85vmJsSVt7RFt7pjL1n2XaS+wD5YkWu/g sYGJ5nmY5/qiBs0n8hkTeWd5T90ZeXtE6B7hhlR4GFyceV6Zs6uNG2/1fI2M ui6N9JcbFGfuwI3UCW4vh0yXRv5KPJvi/SOR9nSEKz1f2E3WOPqLdZ6G3DeJ 35/k0se3WT+fGL/XRPnPQ86jUulu0oc6jkw+j3Y2LwkDPh/xF6rC69dG2owI NdpMhQ1Zh6c2yPaAbb+MvP+ran6wY3d5jpYZl54VZe8OuZyWCQPfEL9nluTH IJvbvM7/kmos7N/VUX+fBrVXc57M78nHmgSzt7ft6x9jfzLG/o8YY0vnoZ57 rd9Zq18UWiv1msZA/eyt6Y0qix150escm0vbjHmQ9zBzfz1jTqXL0GPs23He mzybHD89ni0irAVjZsIe4Iwm52fvj/J6Gu99hx7BLp4Y4dOSfIdVkfZIWXkZ 0x0e++yqZI2cWzmdcd8fclgfeefneg5t0Nprsm+C33NgKhuJnbov4pOYM+uY P3suOlWFnyh/e7S/1vOBL0nfJkSeTxzfBruYy5+YFc/HS8IvyLB1pG0bYX7E Xwn5d486v6rJtr/kfK+h0yPPvFx5KfNVonU5qqR9fbnreS7i21ZUD7Ii/bJU fmQPP5EJ/u4i9/OjXH7quzEPiyLeIuZ6ZcTXVbV2N7P9xsb+GltUVh72O/vl lFT9+CyT3cf+L8pkZ7G3u8b7dqlwFjaFPYhdWRbj/CLqmBB5zov3m0fYoSRd g87pV1Of6Nu90a8/RNpWqbBB57L0N/bjl6lsOXYcrLeb13w907pBDuD6pkxl vq3L5/qmLjw7xX5Ei3j/QFV6v31F8aeNXcGyYOaeqeLzva62jPBlIh2Nrp5T CMNskQpH3eG91tLzwHN2onKtPF/gwK1T6asXwL7R7vOFyrbyer68pDLkf8j5 wbnEt3JZ9gFl6Qe+EeMCqz/g/oDpJsW7Q7xuscMjbItPz/Qb35D4oEz2uU/I 4Q6wA/ObCIuAmbfJxdfslAuX4Jcj8wlR7i7bBjAL+cGK6AXqQ0+MMAYg7YMY 58CIvx/P5zPp+5/l2jeLvMfxpfCv8KeGstcizI8+fx7hqEgbm0iXj7be3iXS /1v+EdvunArftk0VBwOvKSsP2HJ7201s6KJEWIY8T0ef9ou+zSyENdu5nlWR dlrEe5YkR/QA9n5NrIHv4vesQvxK3RxL30w6jnxfWn+CF+4oq35sD3nQKfhU zE8nz9GSeC6uqq5Do82iUT4StopyT0Vb30a8FnXNLWT7WlufnBhz17eivYad R85wVJVcz/cKjbWtZYLc2Kv4QWCDoVWVa+d0xo4uaLZjyJKycH1dXB6ZL6wq Tj0tq8KE+HrjC/lf86K/W9WkD8+ryW+Fv8NPXVSVvflHxLvl4mYW1SS3w5wH Xo04MjzDeg2dBr7omcl3Y10QZ230NPYg3t1x9PnE6E+/kM9noQeW18WhLKvL xl1tHNjUjFmMabq7LHxGN+s7eKdu5jfoS0/Ln3nrkmlMV6TCHOAJuEHGyziW Os8PiTgkxg2HdGpFfcMvOSYVVwi3hizB2ZtVxafCq+4fZY9KxTfBNc0t6Tf1 /CvCr1PxN+T9tfPDUZAfvoK1My3CwxF/Nertn2mtwbuhr8H/tE8/8Ikod5TL MkbGd6R1MLoYn/SUisZA/9tm6jN+ARiyl+thjff1vkB2yJT2WN+Un+A1fHJF +oc2qH8fj4nxwEm9YxkVJdm1U9wudqar5widzbyAaZ+wXcVPBG+Bu8Bpc6MP AzLJgH3W3zYMjA4v0LymBnqN8X6A84A32Xv4CBNTYdzjU9l+nmDTwvwYPBlj Osnjgk+FV0VPznQcfvXYVHw3XGir6M8ZmbgSsCRxsD/2eWimtMkVyYv9zvuh zo/eRZ9jK6mPepnTQcacoy0Dfo9y+umOszaZY9YnuBv8jU6GuyUODt8sFWcE lsOfPcZx7A42Bx5pQEl5iO+Xis/Ebp7wEzkxt0d6/aAvWRvowxVVyaqvbSC2 kLLgwBNc9ka3tc6YirkAI41ifBHKqZ78hl9d5v3+Rk0c8Win9ysJ46wxfh5l TD7RbTFeOPbLXT/29wq3ewJcUarxPxNzM4K5jja+qMoPxX/AdvAbfIvexK6g Ozdw8FXpsXFR5smyfJprjXlo5xn4z0g/NxdGPSgVTsU+d4j4piXV8Xdj37+7 TrjgY51nYCL+4HlzCMNzyfi5Qv7oIanWNvuIPYTvtszyheeBwzjLPMYRYKEI O0b8vURnLZyz4K/RT3y2B+P90pLy0CZtM48vuA/Eu6XirfCzr4r4xhHuKwl7 kJ8+d03VHn2YV0g+l+fiHuAmsGNwxZ9WdSYzKpdOm1TTGl5qPYXuJQ925EFj /X2No5EnWBq/lfMh5rqz+9/G8wynyLkVe4u9x/7azPsQu/hoSWOBfyNtnfPA 67A38ImQGbKamwjn4Ceg6xjzGMscDox1trP1B74yOmTXTHw3XDf+CmcqrB24 sk+wPxXN+XrPO7w4+bGjU0vCsnCwd1mPgHvgo9iTYG9wzSqvz/WFZPRMyPDq VPicPd0llVy2j/iSkvb29tbPyBgbxhr/3PX0tI1G94JjFttewHHAdaCH4U7X Vn9MW2se4CrzIcQ/995hHw01BoTD5zk11T6G62Gvgc3g5ZbZv6bNJdZj3dnH nqOV1t27u8+rXBY/lPbwbZEpmKaXsQ1yBjeyX7AV7Bl8ITgQ+HbWxhnWydiU eVXZCDDRQpf9S0lcChwdXBD5qI/1vsL7YhfzjOxT/FvwPf4wfOTbLo/9mev6 4fzg/tAp6MsVxu/M/0teA+Tvbxs3y+uNdb6l1yHYhn1woPdC40aS2UfGMUuN z8DMcFLMKTKmn5y5wGcwD+hS4suc/hjr12sP7H+6/YsFtnMtSjrXPc62aVK8 v8d6e7t4LqjIB74xnh+CjRp0FoMf2OA9+pn1zJY18cl9Cq0Lzm3K1uU80edw ivAM8BP49R9VxAPQDnF4D7AvOBmc2VTTWc6edbVDe3DdrdxWHm1luTih+T5f Jg9nvjfEuwb8iJp4LdocY5vI/nk00f4ZYPu4Z01j/W2h8xX0M3p6mcdIu5wb 4betrsmuDnA9cEF5Kq5sTSp7hi3rUZb+meixV1LtTfj5r53v3UK8IvziupDB VxEWpfJZv6zIb4VnggOBayIP6fBI8JpwMazT7TO9o+yYQvVMjn4OS9UHsAE2 ln42JXrWHL/NceSz2PJBNpwZ7uVzw+XRv3bRXpuo82L3Bf/rklS/4V/x7cjT OdIvddo9iewzfO/diTAIeg8e/hDbPHTvLyqar8kNqrNw3zp6jS5PlEZda4xP 5jTvtbLOPDmHvakQFivVhYXBpWDbDT50SXjvv5nOKN6p6dyL9z9gkyNeizpf 4PyrqvjmDfLrM8fhYODZ0T3g67b2C8AfG3mM7O/Ftl/0CV4Ou45/DibAtuKb UY6zXXgQ2oAfpx3icAj4kYz9NNspbPSjxvmDbL+wDdgIeA94dea4yXKGK4fH mFyIY1sYMjnXth6bOCYVH7ihz6nmbFPjgE1SjePGQnpx/0L6FUwMBl7sPPSn b8i/T1nrHY4RWVBnB8scDoOzF/YM8/4YuAedHnJuhwyq8lPwl3a1nSXvZl4n SyxP2iI/ZfdqEPZCnnAhk13/o8bGLVyWJ79Z/+0ylacsZyLoFvA2uOk7893g HXAPeON820tsJefjZxiDgcXOdBz9jS1iLs7MxfUMzVU/dwWGuN7R1g+554g4 XOiG/PGcnKoucDV2+EyfaWIz8AsPcSAPdoO9D9e2wOmHug/YmcK8BTwcedAP q+vq/6q69jZYoo2fYAv020D78vhctD/UY1zqfOS5v6T81MF5xwjfN8Dnw/fD lzwhxn8rdrMmnLB5JsyA/YB/gafnrsEQ1z8h3l2T/ohreYLTuDNAWWwb/jW+ NfsFf5y9wx56sCS/gPUPH3xnWXbk1FzxsTVxivCMYPzV5o7hjZF/60x6f5jv P4AlsEWkN9smbCFp8KaMi3sabTLp3EXW0/ye7TUz2ONaEvmvgx90O9u5LfZi G5cd7HMczhHR39RJffAA2GlwF7gJ/ATO5yx4bElrH9kgI2SLn3Gs05ENeql5 P4Ff2VO7Op29hh8A1gHnLHccO0qb4AIwGHeCPvDvF10Pe4dnO8c5Q2hvn/Gk VPtnR8/pEd5HcA3k4ayBdjb4JOjrkvYa/sUI24Uvvcepn/5yl+ljywGMj9/C PYdHHAdDrjRG7en+cneNO0Knok9L4tm6JUrn3s0+mc4pwa3cC4PL2Nj1kE5b PMlH+6/H7+tKOquFS9jHZSlXuE7uYf3Lv/8d4XrsQYT+qZ7wt1emOvO93XmZ nwPcT87p8Su548Na52zrmpL639b4cJTz3OD+cteu+Yxhvvcm/jj7lDWQe7/A WV3rOtHZ6FJ0O/z0cpfh7Pw0YxR8iek+e2Ldg9VG2m/C/0dHjbWPz948BD45 5LI4k8060RwLdpjf2C98cvKAj45zOnmwqQPK4pW3yxX/INOZ6WCfk8J5Dynr 7s0OueLfZzoPxd/A16A8d4mwoeDfW7y22RPdbCO4Q8B9Pn4fUAivL66LPx/j enhe5rLgC+LYa/DsJGNZMDJxMDBnrPdm4jnB3ve5HvjOO52ODuTOELi4yelw msjiZPzlkrABHD594znB9dDHPpbVZOchHe7obvNIpI13WWRLXvASYx1vjqW5 38Ocf7LL3Oc4dTb/Jj/9OsV9G+cx0vc+Tod3ecj+AnJ4r6w540wbboQ+I7d7 3E/aHeNxMdaxXsf0k7rHWVazYt0dXdYZ+sDQ3VvE+lhRSJecZF3B3sIP+8y4 mvsKrFv4XThqOF7SujsdnYYOYR22LOsd/kAP4xbwSh+PiTg+zvH2c+j/Qx4D 9/r6Guf0dh7W5BTnQQ7cy+vq9Qb26ep+gg2pH+x6itud5Hb7Ov5pXX7fh5n6 cLjrZw/gD3H2uDgX91Grq09TvAaww/QPXwO838Njoc2T3e7eXn/w6qzFsd6/ 7Bnkz/t7vT6bvL/Hes1j448sC8+S92bPF9z6KPeNO1pHug89LSfirTwXyL5f XbplQF18P5zwp5HnxEg7oSIe6ybOBuJ3r0JzMMWyhT8f7fzUf7Tlhvx6Os56 6VeWH42/zt1fcChz1eUn80W9yO14zyW/V9aFSToXOvfFVuMXwimAedvYnnD2 ik5um4sTeSCenSril+Dk4L3x0Tm75N5iF/vLeU1n/Zz572VfkjuJyBTZjbQs qb9q3X+q43BZnSzPj+vCDgvqwgbctd7NNnKBbfexXven2VZiJ9fbpn9k2/G+ 4/hYx9bkl3LnbnXIpxrxQwudb29j+3Ko79LsGekf58KZC3PxXrPNiS3N5SN8 lav/nO1hfw+2zcJWbp1LXzwYz+dr8nW418wdcbBMr5rsIWOn7Oa57O3aTH1l DGAS8AP6AB741Jps2OGFzqx/H+HhePeA8Qh4ck7kmRp5PqnrPgp49VP6kum8 mzN56gVDgB92LYRvdiuU9qHl1sp+Mbrli5pw58eFzl7BZ2AwzrLvj/evRv5N c51nrDLuAFNs4NOqOh+E85hn3qqZl3rV3BR4sI0xIWdelxsTUR/v8QU4r4Yv eC7RXWzygVO4n8ndTGwXXCbn6vCZnCH2s2zBDGB5OBDuB+ETwJ8gf/JwltuM Y5YmurNJHDyz4czfce4SgOHA46nTuRcAZ8xZF7w6PMpJng/sJ/1iX+DX47vi t6K74X82zEdJaxSZ3+D4cuO4D5yObtzTfNFYyx8fnzubPXzfDh8QvxZ/kHs3 +MT3JPKF4UfwHZlL8A/8DBwd3AS8BH5bS9uLT8z5wiUeWVG8X6L7KmAiZMt9 Ge6ucK7HO3jM/on0XyuvmS0dvzTSz06FLZd4XbV0+n+su47weMGvrEnu/l3s fXWN9SHxf5b0PQDnlezZIV4PSV37lP2KzXzb9oiz+zNT6dKrHefstUehe5x3 F8K01MnZJfjxn+4n2IZ1B28JzzDYuB1Mw3kt9gXelDsRcKf4u8wvNoi5gCO4 O5E+eMc6ged/PF78BOYHfokzxnecDoYEM6HnWTN110MbtMXdBs57ufvL+MDh cLPwvZz/c7cMO8UZL+dQcDJD7bM/UJf9gQvABnHv5mXff+M8aGSqcwF0CrqF cyief3D6TU4nvpXTybu6UT4gvmAry4r1V/Z9Qvg/7hCwR76pyQYjP2zTrJrO AjgTwMcd4nbhcuFxGe+Bhc4gmwr5AZzNY3vYb9TJOmzjdM65OBMf6rnGB95w LyzCmzXxPPA9cIGZ9yP4/HNjhIeMN8Adh1TE2WHvOjkOd9fd+Ip1fHCkdaxI B6ILOzhO3k4ui2+MX41PjU/0htcbPgd8JP17MfMdt1xcClwNewR/iu+e8Mvg 9tlLrE98MOrCt7rO6eTBPtMutgB/fL3voeGXt7aPzz0S6v9vTRgbfugc79Pf uR58OOK0ydkZd+/g07DfxNEb13v9sfbYW2dZ5gd5jPSRu/WcGT5X015/2+v8 LZdF78INsQ/o5yVez+hhsB37CF5rdUX3Xe81jmpev7MLnfc/G8+ZmfRR31zz js3Cp2POOlgmnO//y/LHnpHn2Sj3bOyNPSLPc3VxN9yBoa7jqppj6nitrrme V1d9B3uu+fYDzoU1hq/JPsJegw2use6CJ4JXebIQfgRrgnO4b8U9Lc4AwS6c L4ND2FfEuX/F/njDZ4qjXSfYbAO3G/E1mb6VAmN0KDQX6Dv0HvuE8xRwGhzq ebZfYFLycFeQ8wvOpPGJptov3TYXB4CNxRZz35M1gp7nXBS+oG49zW/OnNm7 7GF0Mveq+J6H+97zHOdexxSPFc4E29LD9mVhTZxNx1w86vBU9po7Qpd4PbDO r7V+xk5x5kX5pebBOxXiHS5xfzob9+5te57avnPejo+P/YOX7m3MDH6EfwFn wh+fa7vZwXobXQ7mBJ+BoWb6HA+bxXdArAPWwN65zuj3yYUXkDlnoJx1Dnd8 P2MJ4mAMfKkBieZmhG0N2AJ5cz6IvwnmAhu8aTvFGuauE3oX29neWA5Mh8wv TCV/vtHhux3uh97sb8RW1LUXuOcChzLDst3PdvA6x2d6/Bu7zWvdLvf5qZ9y zPUFqdY53CBtwTHyTdwF7sMM9wd+hrNzztBfK3T/a6nHiC7AboO15mXaW2Nz nblwxgkmoQ7GRj3LzbFxDsh5NDYWfch3dsgFmWzg2MyzcafsYq8NZEFf4b3B iqR1SeRXDrOum+w4+gdOF52AboCXgZ95JNf7c51/l1x3WHfNJb/XLUO4Hjif fSN9Z/tT+FWve++QB117tvUt9oI1Rf85K24yZoNHPd+yBXujr7hTCn44yPp2 WaPwbGfbI/KBibnD8EeXnes9yX6kjvbWY7m/l+GcE18GTAb+xLZjv+gXdYGz wc+NNfHoJ9ekW1i7cNTcN+PbRe7bPFvTfQG+HYSLe8B5hjvOHuebj4u8lvpG H1bGGG6O9ZnV5Gfhb51diKc+y/qzk/107mzCO823bnzV+vY1xxkjc8JZFuOH TyYvnMCvKtLb7Ntenm/mGu4fnwGOcYPvn8pnZS2/ap1GH5f5HPBAr0d4SHAH +INy4HnwOlidvPj73AnB98U24PN+7Tkjva3XKfsR7gFMAv/wf7nsNfdA4THv t9ywM9zfWec66Sd2AVwCpgc/LK6Jwz6npm+V+C4JmwGHBU6EQ+D8hu8IwQGc peD/cp6CLmdO0UV8W8fZBHwpvj+2CjsFFuAsDTzA2MGgYAD81KnmW8EF2CTw KnfPuUuIbXrF55lg1Dm57s4+n4uPHGNOEj0Kpwoupg8Vy/kUcz5wP/hw7GFk mdf1XRvft23ivj1qvXGRdRHnRpyHcpaELZpiGda8N6h/Y+t+yt7oewHIiPuJ zd/jEp/rNXZltPdD5Luq0Dc5YJXD6mwqYYi3C3E5cDjwfm8W2nvgjs38XeuC Qv4LuApMxbkBfcNWwvfAqzBfbXLF4VpYk096zS/3mmQPf2v9e4DX7fXORx/x VzknesXzwT7ld1PDj/4zcXA1/jJ3DrnLwX0h4ux//D/8QHwh8H4r2yy+ESCd ssfUpJs/BXtW9I50/Hx8ec73uf8BHwgviE1o7Tzs5du8TnrXdO6xIlPd1MOZ IGde49xn1uFVnm900dW2re/XdBbF+TAcA/HZkf+7XDjy+1z4GpwNdtjY9aDP 8SfwK8BQ4GHygHk6GQ/O9R681vtwuNtFr3HWB2cFHuesj9/EwXrgjOb/KiCd +V1gvqtzTb4VdeJn8T0n33X+JtJfq+ne812R9jq6MeITCvE/6Hp0MtwDHASc 0fJMcuttvXGjdRrrZIV1DudLcGcfGHuCO/G/NrXuAm+cbD3/eaa9WLKPyr2v R6wLSINP474HHBDcTaX24zec7K8NHG0qH3lgXXe2FuS6N4d94u4cY6cP4F7m BfuIzMG/WxgDU0fJbdFm4jj66ibbF9ZGe9vHiTX5DxcVsgHYAuwgZbijgu/O PILdkTl46Trbyq09t/QH7g+ecLaxLhwEsuI71L6NP9aFX4JPjYzB7sgZPg59 +H6meeMMAD0A3nzU6wFfn/sJdyfiPEnnLhk8APdF6p6rxzxfnBkgk8Tf8lP2 nkR3K/Bp8WfB+Nw7B+fju9/k+QV/cj8PvgjcAG4CP4HxwBJgbNpijrlbxXka HBrcGfdfVtn20SfuxuC/0d+/eixr6rpDsLau9/S/yTgZ3IwvDIYG5wwyHgD3 7+C0LvaXWdvc9YRP467Zi77bwNrhrh93tunLSveHb9bR//CCcKlwqkfVtG6Q 1c62xSutJ7u4z5w7c++AOwpwPpnH1WQ8OcP33Gb5eyu+MxhUE48En8Q3/XzL DxfJeQJnD2XbiunWY+sdx17g44J3wb6/rInfgOfge4Rpni/2BfdKWbN8t/WE dTU2nDjYFT/uccfxrcHqYOjTa/pOu2eh9fy464Tjg2+Ad+hv/pS+buh7VXwl mBy83SXRvc6p3uNFXecynM+wRp7yOoEnxt7D+3GHkHR8/OmZuKFb6/IbOKPd 33iJOPaWO+n4GGCk/onwNf4ga+EJ63Du5YG/m20wfihYpZ/xOL9J7+c43+OC fxgjY2OMjKtnTd/PrM+lL1lb6HD2IveqwRit/Z8JwwtxsWA4MHDzd1bPWS9h K/AZRtS0LvimBNs40bYS3cA3cugL+DowIbgI3MDZMzjqjUwY9IOQz6T8x29o HnTf0OfcvaQt8ADY4C+W+TaFcMm2hfbBP7w2ZrrPyJPyjBP7yN0JfMiBic5O 77Buh9dlzcPtwmfji+J3ch/mQfeBNfaS1zAy6eiynAVgJ/Bdl9g/wGd5ty7u +L26MM8sy7aDzwuQOfgEvI/v835dGJz/kpkY8VLkeyqTn448wR20D15hP3E3 +0mXPdrYcMP5cqo7XuhP5PGyZbKf48j+e8sQecId9PK6Qwb3ee/D63SwjWeP Xu89ha2eYHvdwm2hd/GPSr47M8n1gKGOcP7DXS/vwEvbeC1hR/CV8enYn5d5 zbDGHnZ+6vl/4WT7Vg== "]], PolygonBox[CompressedData[" 1:eJwtl3uQzmUUx3/77u77/m4IqVxLTaRsV92spNQUUZQSymZLspKQ6o9uU9Oo mS7oMpncilz+MCHjsrkvupLGqimU3O8sW8Syfb7z7Y8z7/c85/I8z/md55zz tiwddv8zmSAItkIF0JgoCEbxOwGmfxwE/aDx4Kr8IFgSBsEp+CoM+hQGQQ04 v04Q7MkFQQJfmgTB6TQI1sD3yQuCSnw9is6n2P+RDYIyZKvhj8P3YI/F+Hs/ 8l7V+D8ceQ/t1R39jeBKqBr5YOgSbD+HNoHPhwrAWWxGsFc3qBC8nj3mIYug GvhOnGk8Z6vC3xT4cvzlgd9B3hX7ccgPIj8AjQWPwH4s8kGcYRz681hrCt8M +gr8EXQU3daywf4I/uqDy/B3KfwxbM5gOxN+Gb5qoG+IRxFru5H9Bm0Ez4KW gpeHvrtirFj/zlol/Fr4Sbof8d2LfS3xKgS3xd8n7LeNb3AF+AudEdndrFWj /zP8MvBSaCBnrWVtKrFJ4QP4FpHPfgz/q5BtYf+57FcP6o+sO/R4xmsV4Dxs hmJfD5uMvm/k2C6E1rH/ZNYO5zumU8AdIp9lInwR8pmsTUP3X3RmgE+xtor7 TGCP5egOjx2r3ujv5ywdkPfP+szF4IehlegewWef1HfS3c7Dxwbsf4K/Bf2O 0AZwjhidQNYAnRT+R6g9sl6sBezVByoBHuc8fcE72bMBe1XAh/Cv4PMh5B/r TPArsL8C+x9YW4fuC6zNRnaUtZc4z8HE3+p77A8kzhHlinLwFXQ3orMvYx+V 4HasnY+vhZzvMXS/jYwXQCXww5C/izwP+2fBtdis4+xt4OvBXwm9HjjHrgLv gRopHlCIr19T33U68nL4c5G3wnYJd2wIXhY595Tzyv090COcrS+0C7wf+7ex /xj9fujWj7233tg54OtTv+1+6N8APgSNQ/9DfG5Bfx8+SrL+hnvBZ6FR4Oeg M/o+6Dyf9Zl19uugCvyNYK0G+cnYd2lOzE6AJ0CdMvZRi/xL9mvNfq2JwXZ8 nU5sOxw6BZ4XuzYoRqv5XsvR74B+R6ga/aPoPKX3DR1JnHPKvb7seQbbIehv y7oGqha+Dn8i6zemt3Yc/Y/yHCPFaq9yFn40/D74Kmg+eB5nfgz9Eqgo4zXJ esIXw8+GPwKfH/ktKIaK5YeJc101RrVmHVScdQ4rl19OXcumcp424MZQZcY1 qzn4LmgheDH0BL4vhN4Ed4F+w34Wd9xMfFpiU8PZ30K/FtkHfL8HEtdk1WbZ 1El9J91NOZTG3lN7j0d+OXhr4lr9Hf62gDdDXbN+Y1/ja2Pkt6GcmIJ+oJzM dw1ULeycuvbMR34n+Br2GFngGqZa9jA0N+tvVoXvamhI1muSfRM5V+fA3566 5qj2qOYXq5ZBi7KOiWIzDpqedU0bC/6X/XoXWke6TVkbk3VMFdubVMPgX+Po 9yK/Gf7ajNfag3tH3rsMOsbZ7kh9lyLucIr77078VvTG9NYeVE3lvqXIO6a2 ka3udDzxN9G3WQS14GxnY+emeq5672epv61y8FjoGq5arp5aAf4AeZjzGVez V13lO/bl2AyM/Eb0Vhqj86tiB1+lt8iZlmPfJbWuapRq1eTUtVZvUG9ROaRc 0jf+Hfw08k0Zv5mh4Kbo9C9wjjWO3fPV+xXTJoodawOQNWS/AezfCwrAOagq 9JvQ21BN7oFsEnwj+Cz8DuRJ5NiU4KMZvk7HnkUehfJ1F+S/IB+JzU5styeu TbtY+yvxnXV39exd2G6P3RsvwP8u/Jen7g3t0FkCHha5d18GP0e1ASrLuUer V+sb61trJtFssiOyrmqUatX7sXuH3vB69l+YureoZ+6PPINoFtE3WICvitS1 /3bs12heSo3Vc9R7TmJzV84ziWaT21LXMtXQTuCvU59dM5dmr/aRZwXZfI8s StwbJ7IWgleo5gSukSvBCWsD1Zv0BjlPq9izzYvoNwLvDp27eqNXx/4m+jaD samH7ZORsXJOuadvoG+hnrY29DfSt9I3f0C1KfYsoRo0OvUe2ms7KpvRnxob N0NnGvhC6MkC59jc0G9Sb3MQ/EXIukXudV2gA6FzRLmimlOK7D7oUMY52Dz2 HXVXzZiaNSugJwodA8ViZuzZUzV7Bnhu7NounThxT1Fv0YxThqwh80f90D3/ TmQ7Y89O6hH7WD8d/t/bcp5VZsc+e2eoSewarFosH/L1HD5WoV+O/t96S6Fn Qc3cmr1XRP6Wmqk0Wx0MfXfNcJrltsWezVXjusC3TTzbFqJXB/sJ2DTM+Y2t R745daxL4beC/4QG5xxzxV4zgmYF1dB70N+SWlc60n01ci9YCv9P6pqi2qI7 LIt9B93lRu4wEt1NkWcv/WfQf4eLY8dCPbOl9ousqxlas3TP1LO6ZsIeqWcw zWKaiTuqX6q/5Hwn3e2y1L1KOd4afFvkWnCStTfgi2PPErKZqN4QWaaer95/ KPR/C+WMckcxU+xUY4rgb01du1TTH9I8GnvWVU1cr1qXeLbTDF+Abd3YtUYz nWY7zWia1fLh39P7jYw102q2VQwVS82kmk1VM1U7I81c+q8VGavmq/ZrxtKs pRrVgL3+A+Yc7S0= "]]}]}, {RGBColor[0.941176, 0.906538, 0.834043], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNl9tvVVUQxvc5vZ2zz0a5lBhNTAQfTDRpAaNcBH1QE9Jab20Re0qBEhMi tfQA/wBPvLZi4KXQ2sR4QS5tfeYFeNEEbMREiTFGAUFutgFELq3z4/sIPqyu OWvPmjVr5ptvVhd0b323N58kyfO5JKmK+Uj86axJkuux2F6dJG0xGmL0xvfV MbaFzlhtkqytS5Lm+N0b80cx/gidXYUkqcTYHDbqa7TWEHYGc9LdGXtPxdri GMdDZ24q+V5J9t6v097GWFsUoyP2HC8myXis7c70Hb26sHkxfj8TOhfivJn4 vT1018WoTvV9JJV+h20yn62WfCD83xS6XTmdhf+V8O1e7FsYv7tjfThGS4z+ WC+kWj8bZ50uSPdozB+E3yfC3kRR+qti//yc7PXa5sY4ayrkDbUakyFPxfrd vPxvzytO7CHOldjfmZOdb6qkfyfvfZY5Z8g6p+Ps70LvTsRjZayvibX6GFtj lC3XxL7P4uzDVTqn0Tnl/J/sw9HYv5wzwt62WFsR8tVYXxbzUsvE+dlqxfp2 QXF+LZPusv/pY2dV6CwJ3axK9s+F/qzAxO+pbPxsO+ANrF1J9H19jc6ZUyXs XE2En/0xriXGlHH1Xk6+cdanMfock4tx1uywczbOOhb3+Sd0W2LeEGMuMQ2f 9xS0dzJsvhnrt/A91t8uCgfXMp1LTIkh2Nlm/PTE3i0xDhmPrIHvfTnVCfrU TqMxfCOve3LH2jrVF7+XOm74P5MpLo+Ez5tjnlejGMx1LXHfS3HmzZjfKCp+ zzmG4PWw7Y8Y/+RnPHI+Wqd6BfP1sbYjdEeMb2JFbY3F+Dv27qjWb2RwscTY IH5ttcITOASXYPj7ovBPHRwvKEZjqTD/mLFKTrDfFPPaGuVslWMFVslvk2X4 4YnY/2vYOZiqXqjTtc4ze8nX5/HtTOh8kSoHrA/E+nCmc38Iv9KYyzXydX/o TYT+maL4BhmbNXBL+Fhb1DfWf8tke5HzR21RP8R3MBV/DWXCIzEBk5fi/t0h X465TM5jtFYrV2VzJnawQa6+qpV/+IaNdtshlqfMjSPmAe4L77bbDvr7XdvN 1tlpPiFX6F33DB5azIvwGLgCU4152Rg0Vleao7EzU5IP3PV2qpxNm/9Omhup FWyQt9cz4ezVTNj5tlr57nWOye+QuREfuNtixx/eR54uqd6ou3eKwgI+4c9A 4Ko/xocFre+zz2B60JxwuE7Yhs+Z+b3DnMDZ4LnDvhOTcfMn/qyJ8w6FrVcy 8Tg5WBz3fSlTnlbGPJVXDME8vmyyzF2QH8+Jf8nxj2CvJJ4aTYUL6oH7wt/I 1AXnsJ+9G90b0MEeMvbL5j3u+1dBdVNJpcNe9Ht8X+4OR8CN4AX+AxNgAa7b WxA/U0d7LM9OxSFzYu4raB28Zal6Az12Is75slY5r9gOumCZngK3vZhJfiHm R83v8BlxTqsUa7BJLwDDra6RK85L2TxJfjosV3xOs+/S5fvAJ03G6rC5DJ9X ZPJzeczNRfl1riTO3uU3Cb7869zDMdQDOH46Va+mty8w/y50TDpdZ+R/uzGD b7scw8ZUZzSkwv6E+XTavFl27XJ/7g6mqHswcNRviVJJca3YZqfvNd+82OQ6 GnW/Aftfm9PBOb7gA3vbHM9W1+GEuZc811bpDvmSelCuJO6EQ+GJrqLq6ZeC 1ql9ePVeKuyBQTix3T240X0a3/4sKebnS3rD9DlH3KViuaoke3fC3kCmXvhx Jj/7XKct7k2Trmt8Y0+f7Tx4F8Ht1GVSkjyTyucW74Vvhp0veil9FF8Xpaq5 8wW9kXrNq6stcxfmra67SffMtqLiN24eK1uHvcSUb6x/kqmPbgz9I3W6A/6X /ZYG27w/8Gd98WGPb3Du2q1z0r2n2/lv9FuozbnF3wbbfNAfWl1TzPxmHdxX XEfzUvX0+pifTFULbxXFmWAJDsHfHr9t9poTqIMWv6MuF4RDOJ93xgFjkZge sky8LpSE8Yt+24/63U7tcS65fioVr/D+Yt9B2wGzt9xf8A/9KwX1SfoffuAf bzDyTZ+ddq3Bd3fd/3hL3uci8zc9BF6lt9NriPNU/uF37n7EvYOapDaPFaR7 n5tivJzJz/aisN1nzmwtKs9g/K77Jv0T3oJL8Qn+n/T/Alvc0/AfXrxpfoDb DzgOs/wWnjKXUV/UGT1owP0O/X7LA36Xdvmu61wPg+6XYGCL9/IdzK025sEr uF2S6lu/Y9XnPkq+yPmY3yr334B56dALbvgNP2R96nS33wQnijq3x779B3no 5rc= "]], PolygonBox[CompressedData[" 1:eJwllM1LlVEQxs+93ve973vua5kKURCkBUFBfkCllrWoVrVIyzATLVetDMM/ JMMWbapN9EGGdde1UTcFlVRQUVFeE02jm9kXprffwywGZuaZM2fOzDOnpu98 e3/aOdeGZJCcd+41yjYkQT+QOHcvdG4w5dz3yLlGfINgRWLfY18ED7LOPSlz 7mXs3CLSjN2EPAR7R8w3YjvIUcg5dxBfPjRfD7Hl5HtDvu3IWvRL4CFnR8m3 B30AX2vKcj7Cvox49Dvk2Is+DN4JPsn5q+j3kQJ6dcB7yL/K/XU88A+yGewZ vqfgtUiEvUBNfaHlUK5a5BzYB2QjejfxnlrynA/Ql8iXYDeCV4H34qvEruK+ FbA58i0Tu54ar1Pfi9j0s9zxBWwCO19mPRwG/4HdAn4Bu458DcgE+AbqqfeW U7lVUw32FFKOvcgdn9CnI3vLCvYxck3jqwBfwi6gb0XqwAfo9xZvPVVvf4If Ib7E+Unsx8RcAQ+QLuo5hbwl9oHuyJhPmHzCspzPYLfFdnc9MSn0V7FxQT1W r1d5c4N0pIQ+Gxm3ejSfnHFC3PhNjjHil8k5RK2d4P/Q1yE7MsYRcWVfYrNX j2c5eyI2bo5SUxEsha87MA4NYZc4czowzog76ol6o5h0zmpQLerZHLXd0hsz 1jP1LgDvDaznn8GnyNGfNY55sJ3eZqcejUc2E81GdzrwEW9cEgfFxYXI3rqK tMfGCXFDHJxHbyX/3dB27qT6560X2oEV9Jmcze4G+O7E3qy3q2fHid+VGKad 1G42I7dDm7FmPRMZt0bw7U9s5pq9ODnO+abEdkVnWtA7YotVTartUGKz1w4f 1q7Gthsh54vk/or8TdvOaHf0R+ivkG8Td1V72x39MfprxiLjpnqq3opD4pJm cBN8jbe/QTPQLNQz9e4XMh/ZH6O/RjukXfqY2F8gzlV6q0m1iUMV2EdjO6sd 1i5fS4yb2rnnsf0Z+ju002fQ/wOBNK/h "]]}]}}, {{}, TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl0rlP1FEUxfE3MJBhBgSXioRElhrRREUFLMBKkZ3KCJLQavhPZLEwIUJo oKGQXhqwFiI2RhKQfQtrJcLweaH45tx7zn3L782U931of58IIYyipSCEg1QI b2ge8nGkL0mHcBNFKEa2MIQbNC8Twob8r3oVQZ+ln+TPUIdt3g7G1T/tt6ve wz5GzH7Bb/6K/Jb6gn8Z98Gofoy/IO/XL9L7vBpsOrdB1sWrp930OT3md8Z7 qztornXn5v/jHy7jGdg1N0BnzZ2Y+0ZP6T1eNeblM/Eb4/1kSToR9+A36V+g EW+t+cNbc86cuhn7+na6R1/RM3rb2jvIoBA78W34yfg+dJ23hhx9AoPyITzG S3ts8LawiUe8h/iIJdk5/UV/IGWPdfu1qg/5bTSBSf4UqlCJJTOzyMR7x9/Q bFr9VZY034tjXg+9kJfzK1CK6fiOvLv0tbzW3FM8QZb/Ob4ff1j/nY7Qd/QB f1lelr7+r10BEZFcZw== "]]}, "0"], Annotation[#, 0, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwV01dsjmEUwPFXarTVj4gY1Sou1CoXuEIoiXllXGiJVSMxK0gkYiREuDIa XJlBcWUlRDdqRDoklZhVpUZQq0VVI37Pxf/7n3Oe85z3ecc3ICd39rp2URSl +umUEEXvE6Monj9wC34j1jmK/sZbj0VRkvidWgLH45/eMrQmRVEpH7YWx43y F5zPr/XV4xUmqu1Sy+edfJab7RnHw+VjuZvrZOo9Kd6mNgRDkY7BGIQt2GBf Gd8M10az/lVqK3He/nOoFlehEhnW1+hbi9U4IF+ovp+/oD7McZ/z1Yq4BrVm vEB/6zvwS892nqtnG1+Xf+QT4bwosGeGtWt8RF4qLkExeuvbhJ/2bOQpam+5 Tf6Oc3FJ/IYvhufGY/UcE1eKj3IVHw895nc1f4W8Cy/n6eqj9S+W35cv4iVo 73l2RAfU2deg9pLj5DnhvdgzXf8fXspTzVnG0/gUfuh9Im/ij/L54nuYJJ7L P8xoQjOy5N/5G76G960nE1Mwyvy28C2hFY/1vlX7au5ATkcPPJfX8TM+zWfQ MdTNqA3fFerQT+2ynhROxoUwX57GieGd6unMqfIc/iyP+CmKw/3KSzjPWQ5i lnwmeqolci/O4mwcsn4Yn8xKU7/Ft1GOG64ZC+cJs/U8w3MUqmdbn4dGawV6 ilCIBWqruA9SkIy+SA3fNfL0Z5gR846Gi9PURoRniwbxXbNzzViPX2q31e6g HJvVtvJ4+ycgQzwMY/Q94Ba+on4V28PzlVept3EF/+VK3m1tD+/FHL3dnWWy tZHhfXINPwr/GWtlqHSm/eH/FmJUIJI/1lOgf1+4d65Wf4j/biGqUw== "]]}, RowBox[{"-", "20"}]], Annotation[#, -20, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwVz7srxWEcx/HnMDjHpZQ4Z6EMLmUhl7IZzzEahFFKBsegxOBWyuDyL0h2 lI4Fi3IfOK7HwmChkEVKKa8zvHs/n8/3+3t6frWDYz3pSAhhHIniEGZLQqji GY7zHEd4HQXIlYZQyH/8iIDKshBisRCydq9xg+1oCEVmFfpb+Q732NFH9TE8 yDlkdRkk3ZvCm28y5q+8y726Aa62W4N3+RMfGNIv2mvUl3pHvXNc18AjvMob ZgfuT8hN8pP8nH+P7hDD7jniF/Mv87Q8ikl5Cp12y93dblYnd/Ahf/NW/l8x YX9NPtP/8DGf4gTTZvOcsteNFudmdNm74F/e0+9jwe6mfK3/40vO4ir/L2ZL 3GevH23OrUjaW+YVnOsv8A9A10K2 "]], LineBox[CompressedData[" 1:eJwNzTsvAwAUhuFjcy0Su3SzCAsWZoPoYC1tIqEDQTGQGlwqaf0BOhmrbklF gq0L1pIYbRKjwVCjZ3jznst3cpKL63NrbRGRwXlnxBhu2yMOuyIOcNEdUUWu I6LGn3xkXsQxxuVPuIwSvuynzCaxoZ51k+cUD/Cj+ROaftxjWv3AZ25PcSdX R0F2U//Nea5gRnZPn7Hf5zQvYB4puyz3og8JJGX6ucRLXOZlHuJn+Rd8+N1A Vn3lxyVq+JFZNVvBlpttDJsneiJG7Ab1o1zgCl/b3eBXfkLf5De8o27+6seO ehdV+6K7P7TwD2s+NYw= "]]}, RowBox[{"-", "40"}]], Annotation[#, -40, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwV0DssZHEUx/E/hXgWJGylEK+gW5OwCZ1Kg9Go2U1UI1GYRLckmo0gmywh FF6dfgYRGs+pJESCTXab9Y547FDtfqb45vc45557cyt6B6KxrBDCV/zNDeG1 gOIeDxl0s/kh7OaF8KMwhBlMI1tepitYxLm8ROfsvnvuDWmc6tNulBWF8AHt 8h97v3TH/G96Jaf4GJ75FzyhWM6hJbSDDtIJNydx7T2l8jrdwCa+629ouX6b 7uDY/QSifDfuzIbs3dI47dH1uV3D16KML0W1+aPZOK3TN6A+g3yoP0IKK7pV fOa/YMb8oxxBI/p1cfea+GZU8ZWI2Hsym6ct+gXaSj/RE/0pznz3AYb5dbMk Eni3M6obwZhba3KnPooutMkXZpf4iS1dyp1v/AG/jz38szelm8z8OyTl/0iz UbU= "]], LineBox[{2951, 2950, 2526, 3242, 2408, 3246, 2527, 3243, 3245, 3244, 2616, 3146, 2832, 2833, 3074, 3073, 2316, 2922, 2923, 2921, 2955, 2956, 2622, 3328, 2623, 2422, 3154, 2421, 3155, 2626, 3156, 3157, 2842, 3337, 2329, 3083, 2330, 2932, 2933, 2931, 2970, 2971, 2636, 3330, 2637, 2434, 2847, 2433, 2848, 2641, 3168, 3169, 2850, 3339, 2338, 3090, 2339, 3256, 3257, 2977, 2978, 2652, 2442, 3185, 2449, 3182, 3184, 3183}]}, RowBox[{"-", "60"}]], Annotation[#, -60, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[{2410, 2615, 2409, 2920, 2529, 2918, 2528, 2919, 2618, 3147, 3148, 2838, 3336, 2317, 3075, 2318, 2925, 2926, 2924, 2957, 2958, 2624, 3329, 2625, 2424, 2840, 2423, 2841, 2629, 3158, 3159, 2844, 3338, 2331, 3084, 2332, 3251, 3252, 2972, 2973, 2974, 2639, 2640, 2436, 2849, 2435}], LineBox[{2437, 2853, 2438, 2645, 2644, 3170, 2851, 2852, 3092, 3091, 2340, 2799, 2443, 3175, 2444, 3176, 2345, 2759, 2760, 2761, 2980, 2241, 2656, 2657, 2452, 2862, 2451, 2863, 2662, 3190, 2869, 2870, 3106, 3105, 2355, 2801, 2459, 2874, 2460, 2875, 2360, 2771, 2772, 2263, 2248, 2601, 2999, 2998, 2739, 2473, 2684, 2683, 3205, 2476, 2893, 2895, 2894, 2371, 2777, 2778, 2779, 3005, 2251, 2697, 3014, 3013, 2742, 2486, 2701, 2700, 2706, 2488}]}, RowBox[{"-", "80"}]], Annotation[#, -80, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[{2412, 2617, 2411, 2837, 2413, 2834, 2836, 2835, 3227, 2915, 2916, 2839, 3076, 2319, 3077, 2320, 2927, 2928, 2734, 2735, 2736, 2627, 2628, 2426, 2843, 2425}], LineBox[{2454, 2865, 2455, 2659, 2658, 3189, 2453, 2864, 3343, 2353, 3104, 2354, 2937, 2938, 2936, 2990, 2675, 2458, 2884, 2465, 2881, 2883, 2882, 2600, 3200, 2887, 2888, 2805, 3119, 2367, 2806, 2474, 2891, 2475, 2892, 2370, 2775, 2776, 2265, 2250, 2605, 2254, 3011, 2740, 2484, 2906, 2483, 2698, 2487}]}, RowBox[{"-", "100"}]], Annotation[#, -100, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[{2226, 2599, 2223, 2255, 3294, 2743, 2909, 2908, 2492, 3348, 3226, 2506, 3225, 2505, 2272, 3302, 2567, 2507, 2717, 2569, 3326, 2570, 2726, 2725, 2720}], LineBox[{2466, 2886, 2467, 2677, 2676, 3198, 3199, 2885, 3346, 2365, 3118, 2366, 2940, 2941, 2939, 2996, 2997, 2687, 3301, 2688, 2480, 2900, 2479, 2901, 2602, 2696, 2603, 2604, 2712, 2711, 2375, 2907, 2485, 2741, 3012}]}, RowBox[{"-", "120"}]], Annotation[#, -120, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[{3010, 3009, 3286, 3285, 2498, 2910, 2497, 3215, 2710, 2279, 2694, 2695, 2731, 2730, 2481, 2689, 2472, 2903, 2482, 2902, 3210, 3209}]}, RowBox[{"-", "140"}]], Annotation[#, -140, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[{2293, 3307, 2397, 2393, 2822, 2394, 2823, 2297, 2732, 2296}]}, RowBox[{"-", "160"}]], Annotation[#, -160, "Tooltip"]& ], {}, {}, {}}}], AspectRatio->1, Axes->True, PlotRange->{{-5, 5}, {-5, 5}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{3.531187989142825*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzNfWm0VdWV9cnreLSPTkAEaaSzjdGoiS1q7JsYk5jYRkUtiJ9lE9vYK4gN qCgiIgqiIgZBUQyRQjGFIioRtVSCZYWkEspYw2/kGxkjPzJGxjjfmfvudZzn nLn3vc+XqhFH3g3vvHvvmXPtvdeaa+3mnHDO5ZPPv+icy6dMOmfkUZedc8nk KZN+MvLIiy/LLjV/JUm+Mhk/IxP8O00Se0mz/6VT8JIkL7j/a/Z/cH9Jnv+H +lNH7U8T165dm/9pNF6bRm7duvV6/KsFn9u19r7d33///QGff/75F+9Lmvv+ 6U9/2nPTpk3ut6G1a/gd191v24lr/WvXxm3ZsmXotm3b3G8Da5Da8X/d0pW/ /CyDfNWtd6XrP/4jfpLR7rU5fXDxinTlv7ycbt76u+Q69+qo4V/ut938tY0f fJTedv/89Jcf/j7ZyX925vzF6cKlm9y3b+/v8cRzH6YXX7owXfTEZ8l27rU5 nXX/e+l5Zy1K77ntj0l/99qcTr1uc3rSQdPSK097PemF1/YGAd8+Z0H62sZ3 goB399fWrn8jvffRJelrm7fln33lva3pNbc8ki576bfJUH+PO+5fkd5+52sF wFde9XR6/RVvFwBfPHlles6xixzgnp0BfONds9NNH/06CHgPf+2lV/81ve+x pYXPLlv7dnrrjKcLFn5uzR/SCy+al85/9Lc54Ozf6Zk/eDCdOXVbDviOm7em JxxwU3rFqesaAzzK3zRr4vS2u2Y4WCe519b0jXfeTX+54a30medXup+nn1uR tKRz5j+StKXzFz2eX1/xi5fc+7LusqPg+lV/Lft4+tiKNQWusx9fnj70xPoC 14efejO96ppnCo1zy62r08suXF1oHPx+1tGPusbp0RmuL77xQTr7oXkO1vHu tc1xffbFVWCXTr39znT+vPvSxxY+2JS+tGp59pE1q59LN72zDj9Jk3vtmb61 4RX81f288PwSvD2dMeu+9ObbpruveWrZs659s36QcavaZU9/DaZEm5eb46qb 5hU67Q3TH3ejChYZ6O2ycNF/uT6QtXtul6w/uD5w6Skvd84uS9dsSBc8sdjB Osa9dnN2eeJnS9M77rnX2eTnLy51hvjDf36U9E0/3bYlew9+f+XlF9KfPb3Q ve/u2Q+4z6xZ93oyKEL8/Y8/cSN79cYteYd49pfvpDfdubjQIZ564dfOvWRk 8w4xY+ab6ZRJSwsd4upL1qWnfWuO6xDdO0N8/jOrXOMD1lG+8696ZW06a85c R/pfX/15+ptP3k2GOMJt6ZbNb7trSxY/4giDbDYABgiuX/PX3nrv35wrZc+E gY/OzlzvnvuLdOq0lwud/6KLH3Guk7mefdr89KLv/txxbe8MV9wUvRKwjnCv LWgo12jLnnk8/eiDN3f0NDPKjqZ1bAzgbIz3FTT38tdgNYxpviM7YKP5/Nr/ SqdcOLfgz+bM/bWjxTThkE859J7O07xz7iLnkwDrcE8TEQQDE82WNeFOjmZr +u9b3nHjGxQfWvAYrJP0ERz39tcwrh9fubYydKbd/UyhKR95eqMLKvWCDDdl t85wvPnuB12IBqzDPDj44wWPPOBc1ARP8Fdvv+rGJggi7H/wyW8y91Ul+HV/ DUbAOCx3m3JfxTi9d9amgkOaN/8/0h+dOq8QlDjsd45g5kkN3EQaSHDe8Mu7 OYItrgWfW/6kEewR4Qafg3G4ZtMn0Q769Isfu3HHPueGG19Mr/zntYXGm3zO kvSfvv2M49bWCLeR/qYZAIeXuUG+wN/823vrs6hZazwMQuLmGq+bILiPvwaH 7eRS5mhGRZwqO5qBpCjQGzmacON1iuDzr73rRhtgHUIEMfoQPfYqNR4cUOaI 2gS3fSPehTvmkIh3mTb9VSfnuPEuPG95et4JSxy31s5w40h5sOC2D3HDNdgh 67gtgtt+/tpjTz2dLln9euE26JhQAZn6k16FVQACZNZWUgl2ihtcG1wcYB1E hn/y8Ycdt284bs0u6iNAZoEz+y1MLOuwbsQhylujLV61zmnwet7k7ns2uhEW 0uQtIWJX3DDXjTAmNu/pmlQFrAOJGKIeKO3vw15G0skceBmfdIDY/uSAMMCQ FBkf/I4kiDuh8iDs/vtRQ5144K3pT374auf4cCQ/wIMDP+NzkO+EmTdxIQEq JeNhb0XQR67EX5m1kfOE2QCKOgqE6nPPWFDw8vCMZxz5kGuX5s7w4ORuf2oX hCwwmOh5QIr4IgG3ByLeo8tXF74SaQZw13MK7NH7CfncKR4cjr9J3hi2x8A5 zPMAfrQRHEgWjowHfAR8Ztk05X6FdOmaa5+tOO5yKsjt0RR0AJl3QaOHeHyD wiYGe+bQMjlVi0zgkf0rfWP9vzjnnbVhzhu57633znODxL531Vub0+umLix0 LnQ2dCYmc9PNv0gvv2gNDfoW1kghKkiPyvZjAWFUkG4hdQOJw30GY1Twg4CL JoPaRbD9RmS8oN/dO291oX0WLXsvvfSyx+ukaS0sbRuhNMLfMovrLkFlSshd 4LFA5lvePROlrPlr16ByfSjKP8txh++BlslcWN5SqEjAHTMtFVMLiYnghO+x bNfux1rIwgZ64ENz73Uj5wjBqdm/wrs5PZipdhVyWI7AntxUS1f9h6uqwEVz U4HDbTds0VmI4DR91rMVG6K3Y8QwJwhriHEgV5xa/LX//O0HzvtlYTj/LCeQ HAHK2gfdEdWSemHUt5Nj061BTizp9hUR9EjBqc1fQ4EAn808idRzdg/WPDHX zUlxv2I7dYoT+iJcAmto9B/0R+T8RwlO3UoSKPPyOSc1nljuDInoOFUzzdoN hWTHpk1wQpizqprdD/cHDuYEZYAqFZArTu3+GiQrxlPWNgV7lMeTCk2qQqUk T9Zu31y/fn2QE/qwhXTF6euinY4WnLr7a1B06KMoYBonKA4UCTCe7B4sf4wT ik/oa1H5o5zCg4tec4V2JoGGQlxhEtwwikRPct6QDIhJ9lnWPiMiMQmlCVTM mERF+ygSEBvlEYob4MZcE+GWOEaQ6OWvQSvAC8IL8GfhGV5844NCBIIXyDx0 TiJLz50XYG/NwidIAkPNIrfdgKdADAhaBlYGVEWiNw17AM5CVP5Zds92D067 Y+6Zi9t9QyQgK9BfmQRaBj6UK3BQXnMemOniptcCyacbpiUTJy8qxE0m1sdf ++iDN93Yhz/bO+KjuWo/WPhoJXuCxOBE4EzqEUNOiiBCIqcusQ5/DZoOxLIc PSfGZfcdKfhA2rMD4OkIJXw6QsSgLqCl6xFDBRkAAfUAI7Z0UmL/NbnX5iSZ OC15e9srycyJ7rfsv9Zk4oxXcuGKH1ztT14PxQeQ5t6BbpoRzTEh4Z8x58VC N2VdPkC0ZpA0JqquvX1WkLTVw1EtQUXhCxXe4khPWbrFWtWpIZdmdBAjfAix aS/6IsxJcjOyfh1C3czmKK0Z75yx3tWA0Ix9yozaRY1kxwgjziusfy6bPClZ VmOTizvunwP8NQSn8vchXYdw4Psqj6KEOYuj3iFiaCbMM4WI7Sk8yhHWP7ct SqagswWIDRTE1LSPdRG4Z7hp9ihcQFFKNkiMk9oYMfh/VB5Jutb1KNsRMQuC 9n2QFObJ7L5IbYCHPQoGGzxIqMV6hYhxPhgjBleHvAhQjxckBvlrmLksk+BZ WrsH5sfue+Tluv6eWydIAloE9VO+AZeybLoYCSC6HaCeIEgMFiTssyxY2SmU JcXsBa86HRRqiZ4hElDz5cHJU04GhDNzRWJIhITqTrw2INYSKKRecPbiOAmW 2TES0DrQPCES20dIqO6kBruqanHq0CNEAv0S/TNEYg/yOvfeM91BPVGQGOqv obVsLniPSHdSA1tFTZ7VDJJgmW03QFBDcGMgGCNWFlUkdhBud49Id0JJHGOA W0IlptwS3UMksCqoHInZOxkQZHGvr3spSGKYv4ZIXzYAB8XhYvqu0ZYIkmCZ HSOBZAepcj0SkCyYP0dxlLsiiqMQYXYPFmGDI5KFW6I9RIKVpyKxu3Cx3xYk hlM9CjEFdUO1cmk4udiy7mJ5oloiSAJu7Zppd1cCkQ1OI8EFKEViRypsWNZm JDgHMBKssQaTQcuFQm6JbmUS3f0Hf3LtA65/8g04f95djAlFYoS/hpUnaAnk z/ZZ6DO0NlLPmItl2WEtwflzkASaFOXMeiRQCkMKGSIxktJMKwXaZ6HFrFoy XLhYI6GKAFzJaAuRYO2kSOwm4sRJgsQofw11XHQflGN2p0BZvodysTylploi SIK1U4wEZ1eOhJt1YugowvAn4Argk9CJeDgjG4ZjjYkNtn9rCDorphh0VkzK /jv5aygF2DT1bpFOxLVXI8GyT9k/SIIVU4wE6nQodYVIjPHXkH1YFWq3SCeC +EAhEigGNdgSLSESLDZiJDCnB38TIjFWxOldRTnM7qG0a72WCJLgOG034Oqq AYF0mzljmoP6nQgJDnFmAK6uDheOtdGWaA6R4DhtN+A6N1sTc2EhEuNEdGAD YGBjwZPdA84cTr0zLVEh0UPUR4ZRDDUPY0Awf4pyVIjEeH8NNRSbkOHPWgXX SGCgo8Zebonrpi6EwJAt0RQiwXHaSPAy4V2Fd1IkJogswj7LYsPuwQVHJcBV SwRJgDlA8w14atWAsNhQJHYWA3uXSJzgGYfBpBmKAryFWyJEgWeHh1EYshlv o8BSI0YBwxrvhejbVQxrvkc51FXboYXbIUQBMsuWh5qFeB2CWfKuO27J4SoK uwi1tEtkUKsMQqVBPB4Ufp63Uvh3FsnDyQL/rkJtGH4u2nITID/N4lzdoXD6 KbOD+DkNzfHTkhbDjwIBMrMQ/t2E0DD8iO+mwwy/Cm88ITqgmDdUJqkNP8qe aNt6+LkWoPDv7q/B58J/8md5eU4ssvHkZyl5C+LnvC2Gn+c9Y/iRQWMIIzLv Qp+FsGb7q6Cmks/M/nJCvWckFCj8PFuo8O9BQRn4kSjsQu7LMqphnbT/3Hkf 55vFFH4VBbggtrOIAgr/V/01vMcEiX2Wa0kcacrZWsX+7QIwJzX2ZVytsJty GfLkPKkxmFzyYoq2FsO+mfOxoJkVTF5oYV/G9YidqW0tNCm77in6NY9LS+Vj EoHt2j8EmB35MAoS5szspjz/qAB/TXTknSMDsZ6Fg4DZc9uX8UpruylHTgV4 L+G5J1DkdMtb3trcsIX7hQCzq1aqcQI16+z77nKwvisA7+2vIRzZMLXPsvS1 e7DgUhYOAoZvxrQf9y9WiHZTTjhigNFt0CWwxc1ah2XuDhF5xRbuWwbcS5Se +MtMDxpgDuYK8Nf9NVu6UW6d8qBjMaUsHASsBCyrp/ENAt5HJBIGmDcgNWrh jhBg5dY43BlgLinFAHPB2wBzwbtRCwcBYz2GFZ7ty/Dl6LMMmOvCCvC+/hrq wujD0NcThFuLWZj1XZ8QYLBCLSQUkBsFvJ+/hsKSuUQDzILCALMgNQuzoA4C 5jUcrE5MRY4nK5mCU4BtpwiH5vERt6aqXJzB9C4D7i0km7HnBV52U2R+mKSs Bxh9GNUvZI1mYfh0k1WNWjgIGPMLtsNuBxoQFq0aBfxNf80WQfNnsfWg3O3q WbhXCDAntQaYizyNAt7fX+OpYvssJ1WNWjgIGAKkPIKxJgTN2hnAfkGW2xFg m1TGRQJHPQv3DAFW4ocDx7hOAma1ZmQRSGyuvFELBwFjJgbHHIT8cBCwk+0G k+ObfQIaDXblcFHPrj3KMPvYm7JUFK6bObP3bdSuBwrZzo6w3NngK5CKMWAo 8muvX1EHsJA8nA41Cvgg8g2QPOgIbGGrH6n8cztR2Q4CZsljgHmvXaOADxa+ wT7L4cLuwTs6BtGwtyp29xBgXjJiX8ZzB50FjC4B/4Bls9YlVEDmPqwsHATM C5jtyzgxahTwIf6arfPlLsEluZhvYAu3hwDzxAYPCItRjQKeGOkSKs8IWXjy lAfSRxf+oQq4w7+J10IOpbQQuTHftJ5Gmyi8hH2WA3LMwjxP3y0EmKs89mVI ijCycbuxDQI+VCRGBlgFZGVhRAJYOAqY53/tyzhcGGAuayrAhwlRaZ/lgMzj xE5mGEQeyxKjthBgpSBYBdtN62VyBhi5MtQH8gyzsMrklIU5MQoCZgVhX8YF qkYBH+6vYb8t1lvVs7Dqw2zh1hBgVhDKrTUK2LY8skYb2wULVwD3jXgJ3uc3 lkY6znGoBxh+uPzZL2PhlhBgzjMMMJ/0ZDfluRwF2DYrItuzsG6fVeIHCRla ly2M7nn5FYvjgFWeAbCoIPBNuQR4rHttTZZNTgr/YSuBWsJtZOCjUfhC8cq+ l6UnJ2blSgVLz+YQGa5U2JfxZne7KZYbYaISsI5zry3J2zMOxOYOt9B+5oxX FA/bbckT5qpRrOG5gKEUaZAHFzBUem035TWR3omIjSxtfiNLvmkl4zotWYa8 oMrRdiryJNaYBttKSawKx34iTTCDsSY0jjwJcbxxxGYI3jPgNq1YN4NF4Pch tuo1D8YNNr5a8/BCsaYQdF7ZNpQ8RrlP8AYVv4w7GzMHJjM3FHeJs/1tQyKn aTH7c+2f5YEt2QuS4DKkkeB83UjwrJUNfN9//KYUR0gO/KMjA1+1CM8L1Fqk hcVZiIpS6yzNzH4sfo/1wz7fV5P9lw1/NSRsZyLPbnSuSVo42oVYqOAMJ4DY xresN417rL+GeKg+W9/oxVjHWPv7v/NpHPY9LNXsfiyGY1hZDMdMy/sglZBQ WDlbNqys0ux+XG9XWI8TOjhmV54eN7siiZg958PKVL5h5URZeRa7H08XxbCy BI7ZVZUifE0qiJXVr3Igdr96y1aOjwwvZVelza66aV5+TmubwKrGFnuIncg2 tngxhpWzzZhdlfDNXIPciz9A1NaHRvwAzyKr5Uy2cYjVSqN2pUg+6LPPPgti VWOLt5bZ/Xh/nMJqGzrYZ1mbKH1ekbvtAhyvHVYKw8Dx2uEYOOWkONuxe1Qk kQLHMSs20nnRiwJny/5ZrynLsei55OpZztsHwfFwsQ/yrLWB4/2cMXCcdsUs x5FzYBncwNj4oIzF2LM/V+BshTWnWDHLcZwMglMDgveV2Q3qLTA2cBjgsDq0 bMxyHBgHhMBxgUVFQuUFHTg3gWCQuDQYsxfHvyAkznRiw6De0nizISvNmL04 4PUvgzPvxynK9qJGaTfgU4YUOIskHOG4I9iKFgPHdfYgOJWE8CHYdgPW7zFw ynJc8eVQZCGtXwiccr2sDw0cK3IFzkojXBmzz/KSOLsH1x6D4Hgng32Qt2Ps JLybAve9SNDi2QjrOlwOCILjpQBqQCjvFgPH0d8+y3M7bABb4dS3DI6LMGVW XN1id2DLrxS470csh5FuZwnwoDPXGwTH9W5jxetq7AZc/FGb5r4fsZzSTexK OkLgeAuQEkp2AxZKCtwpwnKjhQBVTjgIjlfVsYgp+yoWSjFwynI8E2734BOt +pTB2YofLgFbf+CZLW4aS4sVuB9ELKfCF8thBldLhZrxSAk3WFkuc/TnUY/x gQhuWLm+HsOqDMkbspVnEVj33rhxYz64Yy6a0wyzDW/PVFh/6K9BzdjUkn2W J+BYgdtJob2rWPFojTz4xTw210PZd5hKUHvEDasKxLwLUPkdgbX5b3/7W1FM J7XiJ+IwVvobVt5ipgZTDCvH5ZgD56MJe5UHU/Z3d0JmZsd6/ZVTeLsfJyEK 66kRuyp/zgJHYcX5XOX+qsQry37rc1xyOjEXr2xNWzkQc+qscnoKhFiDWO6l Ssuy6DGEEC7AELLmaWL0x3w8b7hVWFFzRC/lOrfyqqyB2DNaJFdYT494VT6J RHmqEFYshMoCaqEYWe6lfDCmCuzq1JTTI3ZVEYCz0R4BrKhMZ7l+YbGG9aVY BKh3wsvpkdHPmyyUpwphnTvvYxTKCot/y/2VF2qZbVikK6xniNEfiwAsmLqX sTb5mTHMX2BRCw8w1Wl53dNoco+28TUGWBmXH8Vg9+ADKoKAcZZOuTStei6L eRVjFeAzIxZWsQA92YzXHgKMs9hwPmvIycYEPm+5UeddnUkWRraM+nMsILAo CAJ+dOEfnB+r53NZ9I+mMWNZsAJ8lr/GxaDRIj6o8VYB3OwBY1aiXP1VfZgX G9pNOfmMAeYCEXcnSBB2ZiwPuoUAY5lZeTJR9WHWMzzSbQmGAvyjiIW5QqM0 QhCwCsP1+jCHUqtyxQBz8dI+i+5ly+3MwsigkEkBRVsIMI50LCtGXrsXU+I8 6I4TgM/217gUPDri1rhOXQHc4gEr2cizfzE/zBI3Bpg3LCu3pgZdEDBm782V GGA+hjrmhzmHVIDb/CtWGMAX28PIUJ7KWkaVNUZFhBuPydYQHyx6sQze+HA1 IdbFWWkqPi3+FQ2AfHT+g3elq1c+2ZS+uvpneCLXikXpovn3utCEFYJ4So6q ZcYEH6/KrnBs9Ry9Ov2i7p/oQhiPilFiGB+X6/0m8jZLF89Nf/3u2qzd/t8f P8xA/Pfv3003bfhF+uQC98Q5R8uqVBywYoOd84OWEC0lCVQJTY0dHuzHiqYz gogR69Ysc9R6uNcWkHXksIYkI/RtskX5NvX8QpCbUg+8liw2zPhg4WP9kCJu 7gfDKuuFfRylZkcRwyozSZ6HYBTajFTMbWBkYNIIbiPIB4cc4E2hskNsmHHK 6ZfIFPigHbNxlPT1ZH63ZYNrn0yQ5GTYaTfqM5rLZNqE8LDxxDtRuQBna+NG UW+36XpFBkDff3t10s+T+b/b3k9XLl+IziannM1Iqm7FwjpIRhUDePIjlr7y ArljvLMzMr5VBlIPg5PDobsmB+AJbD7F7KMyGp6ObgrxmD3nw9wTGg9e79Fc e03Wv3p3st+kmnMfINJdJWlba69yReYhJd7oqRtff3E7zxue0J6iNS7yNXaW HDv+Ee61Ndn82h3Jgec7PWgzH4UJRjvKtmKbbt42bEA1NRizDdLrssvmEVkL 2pUFnmwWeP05s6ahLw/yZvnwnZdLZql8g1mEY4ayiD+4sbBIBuc2RC3CscOv EEtW3vvj0tLO5iTZ/7Zk+ccbk2sOtDPKm5P9pm3Erdzt+otCFA31ZM7FE+2b YktFbZsFrAW1kMXUZIg3VeYN8nTbH4xlH3O/2Sl4HH+Gudf2ZOrBxZ524O2v s9urmayFZwpCBsNyteLylW6FKaH1T0xJTn/ij9aFsvdUJzqU2/CPUymsOT2E rIG66MurlmRuqGaN9WufzTXkWPFZswYnbjVrtCSbn7ogOfep31nvaQrqqhYu +oUsgnzZ4p5ZhBZtuS+aPWlKMrtkEV5gr6S8fxhLYSnrwWQReNHMq2T9vWaR TFHm4X6s+KxZhBfW1SzSnDx2/gXJYzVrJGYOrtWZOWgtb9kc7SKTGejNQUGx 1kk+Xp6cjn6YmWOQKDLbyOFEocU7TbUoljuKO9H9k7eSHbxZIEtt1cCoyHeM FnmomWfz1qeTc4E3M489EpAn7VlhWmKvbFNNmtp4K0PNNrVuYmbhooWZhVe1 +NyivMCWHQlcLmxhFoEwR7qyZfPb3iKVj9s5jpxi5cb4wufmfYU32W1P/dsy KmUMlXGpooKqgrDn4If+II0CyWGe6m82v54/ps5WSfMiB/s+lHFssZPd1+ce lYWZ3UXp1IIpT/HGpCyLCsa/fMnDDvlwjz+T5nlN2N6H2jviIJeiVEro84sg fpU2qZID16qtB3LgZ/xQqIwfqhUSHPmE2R9+y+bjuUeX7ebLEJj9k/hxFLyp WsPPkUgJVqW+Ff4dRf+x96kyCh+iYPfNpIA8j6t7pEbFyxW3j8QJ7v/8cDKU EoB8RKT/KLXNB8zafZeu2XD4mjVrGH82+tPaP/CTuH+dj5evFCZsa0OxtgQ/ seGOxzTZmqFm/+pMXousSQddsyJSHw8F18w/tgvHqB7Tqp50bQ9Q5oUBandI n7/TNetOHb45cC37l/utD12DM8+GdcP36Ai+r/jIR/ywAFIPkFZ2suf5cozr Jtqi44trruXx01q/K1QVU+191vNjzc6FDtXsO1BSj4IaRu4/QhNnqSA8ZsP3 GCmuGQ8uYnTvZJOqyo1oPuepegYlXe27bfJDzcDWPFUrb85yP7jX4cRtyaIH nJVGe1vhd5uxHS5sYOcasxceGuHLxR2Hs10Q9NPLdWsfvMRYhUJ+9uWCeTML xBBKbOLGXDYv5rHv41A+JAQYT6NHrA4VOQwwYqFpHbsBrzVgwKhKA+pOHjC0 iG2rs/dxVYJjqdVtK4B7ecB4yIDN2sTEEi9/VzVafgrs/XffAoGRA/5066/K z3OS83a8BGlwCDAe1mv1lJg6UrVynslnwGju323ZkIyhWpgdumyAlTri6BwE rOpejcohnsBgwFaEHCPk3BFiIHIXs9SxArh3pBilSsG8UirXW1n/tU057E2Q LK5f+2zmJao1EyPGyxHs+zjQDQoBxn5iO5jbLKwSBz79wSyCQYjEowwYyf6K pY/kgGFh9GE8b9IszIfpjxJuPAi4K12CJRIDtiL7OFGHMQvzqV1cZLf1ehXA fSIpleoSvDCVb4BuAR3FgJEuZRlwDhjZLwYiW1j5YV7+s10IMHeJ2AyA0ty8 bZkfoY5I5/zz1l/FjIyCmG2x4kYzWwUxq7yJj6pVyyVUQaaM2TuLcaInf4u8 se3q4FTGnOrAEGaVK/EpBJSz5KdsqFyvjBnxbPXKJ8dH7MyHxasYXcHc4THj 2Zo2hcSzrWXVhPpAOZ/n/O7QEmY/AseLqGeY+Whj9vG2jyOImZM0szOftRGr CXBNw2F2kH1PMElsfi7zeXmh00arKmxw7xgQQq3yCTV3z7sS2ZFahKhZujgP Bx+IWW0z979/sK4SKtWkIneRCvC+HjiODUGpuF4XYVXE/s4SHAXcz+wmEzxw lMZMRZnF+cRN1U+CwNW0tBLMauaTa9wTBXBEj0xk5MB5UBpwxPBiplHsKv1D wFVX4fOkY8KZT3CqAa/Op6PWmkWY8RRs4Mt5cHL9XfWWCvZ+kTSMt5By4cw0 r+otIezQGW+ue8HsjlpSWbLw3lxVuwtiv/3O1/LF053NsLjDHBLA7juNYcfS DFMvZncVg3mRZL8QdrVmQfUZLlSrPsOzFOWU3s9aOPjWeZTI5ck9uwfv+amQ 6N/JzsPVatV5YiT8lHeBBOojFhVivYizyCCJRntRvfB0cISEV+QFEpi8t1Zk F1SeD+cycN8QiUa7k4pWvB0xRoJm2nMSCMPWijYmVLbJ3alCYkAnu1MocplS VySaCRwszy2hdIOKYtydgiS6EsW4Ox0UIeFn8RvqTuWIxrtbO0IkuhLRuDvF SAAcykOZ1kw4tNli+lh34qcSMQneNIeGWGRPUAjoolCks3xC9S7FyY4eQuHF VvQZJ9Q2bFtorHdxyBOc3OY6N0KIU1ekNVcPDoxwQrR4aPbtBU48BRTrbBwK +5Q7W/Z3HIQJ17XInsOQ6LRMCW/V97jAoDi1krhGGQdsxkVEeL2+pzhd+uNV +TFk/TuZtnHfU2WpA/IUqEW4gnERp1wve1NMbv3pB/kjdY1JdamO3mZQr8cd IFrHL9exkmaBkxpFyO3Kk+As2HsLTnic2o9OnYcNVTkn9Dg7TC5WCFA9jquc MU6+KFDgxItrrJ34qSZsNyuvhThdduFqrLbMH3zEE/FcRLJyWaOFgv0jnNiD jxNhyDjxqSMcJWxxR4jTbTdsQY0/56T6ntoewJvzWYBYWVxx6ibayeoKPMui TiPlKGFFugqnJv90S9/5Ki7PdlbGFjDzQwTUzEuMGDcWF4Zt/b2VLZE02A4s TpasktcrROzyi9a4CQ72Fo1Wt1UaxSezfFMQa4+0GObJbDO5tZiqePNzuYPE br/xE1dEZmKqCs6nMqrtASp9ixFTLcbzZ0ZMZT7cFSvEmj2xc89Y4IgwMVUt x+pNixNqAQnf1Kqzilh30WJjREpnXVGt3uNJlZ4hYldfsi4/qNWIdWXujTc9 fCNCjFvMiHGlyYipag1+N4kTJHbHzVvz00GNmN8aXLcr8mJZXhBvnk0R60Hq wRYl7CT0khHjzQPsoExjV4i1eGIXnL3YzSFwi0F62BEjseldJZp4enc/Qayn vwYCIMKT6iiZWG3fiCmpwYl5jxCxn172uovFTEytDLiOjqiP1a14b2mMmC/o B4nZagG1340VbpDYjFt/7+Q7d8WuFLU4xVLEeokUy4jxAdfWYkp0sOCtEGv1 xKZMWuryKm4xVZlQ+r26WKXoPPaNEIPzQIthMt+IIe8y7W/E2N3bPXhncvcQ sRuveic/UzxW/FIJpJJUvGJYEevtr/kyqqM0yhODlyyvNVTunidMK8TaPDGV RaoKhtL0LKl4YFuusY8gZkurfG3bURop8hQjpqZyWHkEiTWaSqpza0IrMs15 7JOnktZO6GjogIheRodXThkdlUqi3WzHZ5DO1Os2F59rmTS+4FYJKdCzWUrV Th0E2KLXiEgHVJsS2cm3l4l188TOPm1+fsC9EVMrUZSQUitReBb/64JYX38N ZTZsduLVxUzMVucqTc9OPkgMj76259fEhBT0R/lcCFUB4InRGDHuijFiSkjx eoUgMQgpewpLTEip9W+h6GXSVxHrR87bVifaenZkYHD+TEyNMV7tUiHW3kkh pSqfKnrx8VF7C2L9KdyiKsh7Qji9PDoyxiorghWxay/f4HxfveililF83pha waGIDfDX/Fy9ozRUFASOiYwxPn0kSGzm1G3p+RfMqggpOy2hs8v42XnsFSEG SYsxhn1NRoyrN0ZMRS+eCakQ6+6JXXje8koR3p8PVYle5a3SKgtj56GIDfTX kPgjDP/379/Nd/a9vGpJ3o3VMwFU+bAtROymq9+tVOJVbUrtqecaoqq3fU0Q 246cB2q9mIAbIvTGMfQ+tePYhFSFWI+IkFK1Kd7eGysk8souRWyQv4YyDyob IGabeLEEyepax1KXLd+DhVSQmK+OFlpMHZhT74QHlawoYoMFse3EGLODPVTV lyVVkJiqTak4prIw5Tw4WdlTEBtCxNAVMcZsFz5vijRinIWppdKtZWI9PbHz zlqUPyw4loV9maMRFLHtaezAK2YuPrtv1d3b8QLqZCGWVEFiqiCgpvGUCFbO g939VwWxoRR44Sywu7efaDE7/0FlYXxuQpCYimNqZkWJYKU82N2Pd6+NP7Vq B/fa4mQVxhrUf+ZQbO+M3zfj3mSHePBUn9rB2VLm3SsS5lTdW/kWdXoYR4Ma 74YecGX7WqAcUf7OOCa9qFQHF4NEyU6UUTtWOUgE+arop8rhatutcjkcJCbU wBWOIPjiIVHDar3AhQE0HzIClILghNpp+wOKevDMJ0XGKpdbK1R7e6pn/uBB tyuGqapNJxDT5RMoVfrDWYJRrTwPq9SutT1b3VyXQO0LpNGdUXhAu8JRNbnV pC1O5aBk5A8POjkypFnBBfmrKR11Rpda6V3v8CDjX++hWqOp0dG3Ub9AA2cO OXt/1quT2rJ1K5PZsfMcUpW6aw6RVqmhKmzyM3TYj5W3gXCVYqz3Y40+hOtG f42fKKYGa4VMH1N05yzJHwalFsLEEnh1KA+34BjvnBp4DJfxUIcL8UgM8rj+ irfzh2zHJLdyOmr7F8uB3SKA1eYCXqhTAdzRSSnNVeTYwcMc5ncVgG/y16BK reynqsNNIcCq1qgksppwV0VUXhgRA6xOPOSCQBCwXx1QV/qqA8jrHdG4SwSw krSc6FcA941Mt6ojGpVQUCfd8DxyDLAadDwTEgTcqFQNHZxcXsnK4S8GWA06 ntAOAg5J0PKgU0mDOsiPpcnOAvDN/hrXfmqfbeEspwy3X0Q5quqqqiOosjHb Nwa3OuRaOHcJwVXLwVRgVOf68lRmRPhJuNU6TQsXeQmuXyqJx8m5vgDcfSM1 eq5GxdbqKi0jtJxEXy3GtHBnrqLf/f33308vnryygF4V4tXUiXo0GW8dNfS8 HGp8BD3Pe6unLRSh9/jLX/7iRHNm/Bw6TxQPECI6ti5IuT3WUwr6LUL1qgy9 tODslEPvcSqDra4GqJq8DznA8gHlrJ7GRaDzs7kNOi+YK0GfctKzru7P0NVc m5oTVfqDNwkoqzvoDrkB5rVVfJK11a9KgK887fX09FNmQ2on/SLjU50mpPQH b05Sth4bsbV67gWCD6rRaemUIw/9rKMfRUUxh66mJlRGrByjCjvVjEFD513y Bt1LpxD0S095GZbPocNL2uOebXCqo8+VJmFdraw+JgKdQ3zpWR4V6E1AHhih 8JP+CcPREcr1z5jMZtMr/LdGnIuvkgXx/9O3n3H52JcZpkqxsOpW9t8pgp89 jH02+/62v/71rw45ny3V7PH7EVs3qqriF0uYmAhn+8fws8OhuIRNEkH8ftgW 8Kuhq86QUxUe9WQgtv/oCH7ldTKXu+emTZuC+DF2y8FVjV+e7q33dKtyhGL7 x/Ar15ONpSNfeumlCv6WyPhVWadKMZTrVI8541NSRkXwK/+TjWd5tprhV2FW FYs44+CHR5eX96moxapS4Z8q/I/7bHHBVw3wCQfc5CaIGLAqCKlTmpWQ5Fil Ht2mjpeaGnI4CvDZxyx0PYIBq8oPT48PisjHehaOAealJUHAPCQtpPIC/5iQ UQ/FqmfhERHAfHZHBXCbB/yDw2Y5n1cvt1A+UK0y44K+snAMcOUJeQrw/zl5 pSucMGCVUSinp4KOepIpn7a1YwQwzyNUAHfzgE86aJqL6gz4ogtWuLUq9byc epoIW9ie7cqlKnWemQHG9BcelR4FPOn4Jx3AerJEuTX1yGRlYZ7Lc4DdwkPl zEaHYF5x6jqnQLLGz4eamiRWNUvlzPi4H2XXYcKu0/y1yhPTiut6aoDPOPIh N7S+jDNjua3kkrJrDHCl4qMAX/y9l5zzYsBKX6iqSaOPROcy9g4RwJWEsrgO pwb4exNnukXNDFhNWbEzMwvzhEfMwvjdDmuNAa5UhRVglQHwlg6zsJqhUeFC WZgV6NAIYF5hWAHcI6Ig1Pp4NRWjlnWx5DTAGPl2dlYMcKWQpgCfc+yiSu2M 65ZmYV6dqzbNKI1pgDkgbx8BXJl2VoCVglBJlUpqVVLCFh4r3NqQCGAOFxXA PT3g0741x+2vYguriQLOYgdFAjJnUWZhnjtSgG8TgWNUCPBF3/25s2g9t6YC B2832kF4CeXWBkcAVxaJFhdY1ACffMidbpEFA1YL2Pi8zlhAVl6C3VoMMMv2 IOBG3ZoKHJzYmYX5IYDKrQ2KAK6spCtO8YcrGUqjcREvZmHlJTiTjgGuLGFX gJVbY40WK93xOoWYl2C3tl0EcGUfrQKs3Jpams6BIyZ+2MLKrQ2MAK7sBCsu MKgB/uHhs50bC6m1mIWV+FEW5t2WMcC8NCsImN1aLPXkwKFy5ZiF+cCGAbls VwqiArPDw/zOwdNdAK6XcKrsQkkeZVcMNdgVCmJAxK6VjdIK8AUn/sxJnHK4 QMKZxbS8I6h1UCx5dojYlYda/whgrGS3Sd4gYCRGGGo8maLK4irPYAur+KaG Wr8IYN7dUQHcN1Ll4XXMsYCsLMzxzQCzglCAp/trN982HZ9wnxpJgPnQnZ/8 8FWHvE/Et6myWlcMzidB9f3y+Hf+6KOPnGID8o6Iq1PBhHcaxuzP8xA8JO0B BF3Aj+d0uCQks3mOX3k+tbZGpX3K/lywMPy8U1I9GMHws6AbWe7w2d+PHnO9 C95sf1UHV6FGySVlf64QjfP4+Rnl6kkAjeI/dfeHnf0zJ5PjZ7kXS1lUbOcM IGZ/rFeAS4d66gr+M7/6WHr46CuAOekbqdA1Guo55YrZn+chencR/ym7PgDM OX5VsFMJTaP2573dZn+3weWhee5Q9i+NvwnwszdNHPnPro7LTlRFLdYFnW0E LvVbI3AQ6NVVEt/ZeaYbuTyS1YxiV1qCy/9GgjVYzwgJTnyCJM7YY0HFnapw ptJNpdAabQmeEvjSJJo9iePG3ZqeedTDhZZQxVaVgio1rFoCe35twbWR4IMN /SLn5NMN05KJkdX7nSKmnK0KdkrdNdo6rJ/HC7HR/Pck1uKJHTXmp85r1YuC SoU02mJcR6q1WKvrdlAhtp1m5kR7WGYLVqobGfy0cmbTECnvlgukeLaqs9KQ W2uYkIY1Ut0KZxx+unSS2wPlWytRa+8baqlWT8rHygIpFS/5LBGl12MtxXq9 1gXbCtvMl02elCyrEeoyH+W1G9UvjTYSr20d5/mg50G/4HGI+f6ILvBp83wO GXmRcwnMR1WzlJ5ptH1Yz4z3Iwmh1HaQdbmzGZkTx0+vJCeq0qVCaqONw+LG /B2Ls9auklAhVc1VKnGjWoRnIVRINRKs0GIk+DEkFRLdPIkTxk+rhdA6IbXR luA0ZZgIqUaCy9Cx7hRVaEbi9D0eSY/b/4ZC+FTiptGWULkih88JojvFQmWU RLsnoRJGNeXSlZZgB2wkOGFU2/A6RaJRIfNlWkKFRutOXAiMkcDhuDZvVCHR PRIKlWhRxcFQS2AyAQ9YHyZc7QTvaim+ux9EjjvqlEsKwJUwqScjY9bn8vYw kbPXgLfwOEgbxdzDYz501CXpj7+zoq7uUJqejT1YzCEoL2qYXWKSdX0coZFh vt1j5m0PlTpmj05qC55Z6qydOSO0oWq1kYQARwuvPSPiQRlZyfBGjcwOcmcq pvlhmA/ByuO8FGAVlrj6oSS2OgDZLMxTYcNE3mCAAdbORbDSduVoSwU4JAbK lQ5lYS5XmoV5stEA88byCQQYXSLrBjng6PRMr4iFWYLFLMz1SbMwT+eyk0NT 5+PO4U2a7dArh9cW5kbnvnr9L5qZR9547y1gZrgyv+zK0kXenS1mRMOBvSuW VmK3mty35pjx4yfR84V3lePtFXAVzLtibE451CC0FIqBk5u2jhKd6O8TKTzw 9FPM6MpFw+hYD4IlsMM9dj5tZqzP0Rk7fqCYMD4xHXKLUFJBAiqWK03bqMtW SorH51hyKBa0m0T9y/YHYrkQGkeS6IgoKc4uOtsKrGmtFfiwgjGChD3WmcV6 cJO/IvH9Xe93k9n/ky2B8Yv53qxbSBL8CG1bbnSDCKhMws+kYWeJS7jBpk9E EHS1YUziDhfJxk4RTuhFSAWRz94ggoHg5LabHjRiCuJBzkmpMr/rrcCJj7Hh dsLCUBxXNFioMuOkdjMzp1Z/DcMbnJCPXC+CRaWzZX/ft8e5jkO9duJURFWx VP1UCTfre1gMi1SEj2BiTm3+GnwuvABS9us8p+jy4uzvR/S+3nFgTqr4o7IU VcniYrdx4mOllFMYJTh1I4Fqs73XirqJ4nRcn+nWVjkn1iV9I+3E69Zj7aR0 CXwEeGa5r+TU7q/xgrmfCm8d4nRYryvhsJOOiEJU7aT8nmon7HFACIVusXbi tfgjBSd7Hj0/EuJqz4nXyFT2ODSBUvamvbuf7kIpKPXuZGMp56cai3XNcCEi R0SIoRgBQQPnZ8T4GVFBYr61CiPr791iKtyy0lTEepAHBDEkJld5Yvy4wQqx 5v+hFuMpWCPGm4KNGD/sd0dBrCcl4XbO2JVCkjKxnrXhNeDzzz/v/ec//9n9 1ueLBUb5ptuO2jW8B+91v/UT1wbWruWbFfEzWFwbHrrmMpmeAsEV4hO71ki8 4H0EUjf70/P/UH9yv0yp/Tv5yv8HZ2InQw==\ \>"]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["2D optimization by computer", "Section", CellChangeTimes->{{3.5311880965514483`*^9, 3.5311881070658665`*^9}, { 3.5311886116643534`*^9, 3.5311886187155657`*^9}}], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"iterates", "[", RowBox[{ RowBox[{"{", RowBox[{"dx_", ",", "dy_"}], "}"}], ",", "xy0_", ",", "n_", ",", "\[Delta]_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", "xy", "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"xy", " ", "=", " ", RowBox[{"NestList", "[", RowBox[{ RowBox[{ RowBox[{"#", "+", RowBox[{"\[Delta]", RowBox[{"{", RowBox[{ RowBox[{"dx", "[", "#", "]"}], ",", RowBox[{"dy", "[", "#", "]"}]}], "}"}]}]}], "&"}], ",", "xy0", ",", "n"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"Arrow", "/@", RowBox[{"Partition", "[", RowBox[{"xy", ",", "2", ",", "1"}], "]"}]}]}]}], " ", "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.517271438225777*^9, 3.517271712474259*^9}, { 3.5172719380038548`*^9, 3.5172719406090593`*^9}, {3.5172719884855433`*^9, 3.5172721021941433`*^9}, {3.5172721616458473`*^9, 3.517272194936306*^9}, { 3.5172722482883997`*^9, 3.5172722507844048`*^9}, {3.5173027090009837`*^9, 3.517302715693395*^9}, {3.517302763335879*^9, 3.51730276419388*^9}, { 3.517302801368746*^9, 3.5173028438476205`*^9}, {3.531188116207483*^9, 3.531188156283953*^9}, {3.531188225657275*^9, 3.5311882310080843`*^9}, { 3.531188324639449*^9, 3.5311883566663055`*^9}, {3.5311884673016996`*^9, 3.53118854715824*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"g", "=", " ", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{ RowBox[{"2", " ", "x", " ", "y"}], "+", RowBox[{"3", " ", "x"}], "-", RowBox[{"3", SuperscriptBox["x", "2"]}], "-", SuperscriptBox["y", "2"]}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "5"}], ",", "5"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "5"}], ",", "5"}], "}"}], ",", RowBox[{"Frame", "\[Rule]", "False"}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"Axes", "\[Rule]", "True"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], ",", "\[IndentingNewLine]", RowBox[{"Manipulate", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"dx", "[", RowBox[{"{", RowBox[{"x_", ",", "y_"}], "}"}], "]"}], " ", "=", " ", RowBox[{ RowBox[{"2", "y"}], "+", "3", "-", RowBox[{"6", "x"}]}]}], ";", " ", RowBox[{ RowBox[{"dy", "[", RowBox[{"{", RowBox[{"x_", ",", "y_"}], "}"}], "]"}], "=", RowBox[{ RowBox[{"2", "x"}], "-", RowBox[{"2", "y"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"g", ",", RowBox[{"Epilog", "\[Rule]", RowBox[{"Dynamic", "[", RowBox[{"iterates", "[", RowBox[{ RowBox[{"{", RowBox[{"dx", ",", "dy"}], "}"}], ",", "xy0", ",", "n", ",", "\[Delta]"}], "]"}], "]"}]}]}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"n", ",", "1"}], "}"}], ",", "1", ",", "100", ",", "1", ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Delta]", ",", ".1"}], "}"}], ",", ".01", ",", "1", ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"xy0", ",", RowBox[{"{", RowBox[{"1", ",", "1"}], "}"}]}], "}"}], ",", "Locator"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"SynchronousUpdating", "\[Rule]", "False"}], ",", "\[IndentingNewLine]", RowBox[{"TrackedSymbols", "\[RuleDelayed]", RowBox[{"{", RowBox[{"n", ",", "\[Delta]", ",", "xy0"}], "}"}]}], ",", "\[IndentingNewLine]", RowBox[{"SaveDefinitions", "\[Rule]", "True"}]}], "\[IndentingNewLine]", "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.517271438225777*^9, 3.517271712474259*^9}, { 3.5172719380038548`*^9, 3.5172719406090593`*^9}, {3.5172719884855433`*^9, 3.5172721021941433`*^9}, {3.5172721616458473`*^9, 3.517272194936306*^9}, { 3.5172722482883997`*^9, 3.5172722507844048`*^9}, {3.5173027090009837`*^9, 3.517302715693395*^9}, {3.517302763335879*^9, 3.51730276419388*^9}, { 3.517302801368746*^9, 3.5173028438476205`*^9}, {3.531188116207483*^9, 3.531188156283953*^9}, {3.531188225657275*^9, 3.5311882310080843`*^9}, { 3.531188324639449*^9, 3.5311883566663055`*^9}, {3.5311884673016996`*^9, 3.5311885233837976`*^9}, {3.5311885653322716`*^9, 3.531188596625927*^9}, { 3.5311886324591894`*^9, 3.5311886959669013`*^9}}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`n$$ = 3, $CellContext`xy0$$ = { 3.6499999999999995`, -2.72}, $CellContext`\[Delta]$$ = 0.1, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`n$$], 1}, 1, 100, 1}, {{ Hold[$CellContext`\[Delta]$$], 0.1}, 0.01, 1}, {{ Hold[$CellContext`xy0$$], {1, 1}}, Automatic}}, Typeset`size$$ = { 360., {180., 185.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`n$101488$$ = 0, $CellContext`\[Delta]$101489$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`n$$ = 1, $CellContext`xy0$$ = {1, 1}, $CellContext`\[Delta]$$ = 0.1}, "ControllerVariables" :> { Hold[$CellContext`n$$, $CellContext`n$101488$$, 0], Hold[$CellContext`\[Delta]$$, $CellContext`\[Delta]$101489$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> ($CellContext`dx[{ Pattern[$CellContext`x, Blank[]], Pattern[$CellContext`y, Blank[]]}] = 2 $CellContext`y + 3 - 6 $CellContext`x; $CellContext`dy[{ Pattern[$CellContext`x, Blank[]], Pattern[$CellContext`y, Blank[]]}] = 2 $CellContext`x - 2 $CellContext`y; Show[ Graphics[ GraphicsComplex[CompressedData[" 1:eJyFfQVYFc33P933cgO7C7tb0V0VuxPzRbG7uxMLC7tb7C6MHREFCwsbUURA QJQGAeGP9/qZ/e65P5//+/I84+fO7OycmTNnzpw5c7aM18Qewy3MzMwKqczM /qTG/1wY0vabyuf/aTkub/jBieMr4z/k/9lw3M5Q3pzjS4b8dAn4vAFHc2xM g92AbxnzBWB/4/McdzTWLwJfN76f44rG9nHcwdh+jv+mFHM6aQp6gUEvMOgF Br3AoFfZj8FuwKAXGPQCg15g0AsMeoFBLxk3ik3oAqYp6AUGvcCgFxj0Kvkk 2A0Y9AKDXmDQCwx6gUEvMOglfEmxybhRuoBpCnqBQS8w6FXOg2A3YNALDHqB QS8w6AUGvcCgl8w7ik34ko4bpQuYpqAXGPQq53mwGzDoBQa9wKAXGPQCg15g 0EvkCsUm847yJR03ShcwTUGvUo4FuwGDXmDQCwx6gUEvMOgFBr1EblJsIlfo vKN8SceN0gVMU9ALDHqBQS8w6AUGvcCgFxj0knWBYhO5SeUKnXeUL+m4UbqA aapcj4LdlOtRsJtyPQp2U65HwW7K9SjYTbke8XWPYpN1gcpNKlfovKN8SceN 0gVMU9ALDHqBQS8w6AUGvWRdp9hk3aPrApWbVK7QeUf5ko4bpQuYpqAXGPQC g15g0Ev0FopN1nW67tF1gcpNKlfovKN8SceN0gVMU9ALDHqBQS/Ryyg20Vvo uk7XPbouULlJ5Qqdd5Qv6bhRuoBpCnqBQS/ROyk20cuo3kLXdbru0XWByk0q V+i8o3xJx43SBUxT0Ev0aopN9E6ql1G9ha7rdN2j6wKVm1Su0HlH+ZKOG6UL mKag91/7COV6ZKJ3muhpVI+h6zxdB8m6YCJHqZyh85DyKR1HSidNyxrK5/zV K3QM+IOBMGfWxvB8kgk2vPaKPcd5hv8s2UlDxmuOkY96kU8xyt01YgEY+UiR TzHSTsbnhH/9/q+0krE9/0yNe2crEXiSkX4RvwMjP9zYXzyf4grG/hbR70jB f3Q88Dv6BfnAyEe/IB8Y+fS9Sr6W24HxBv8Coz5g9C8w2gv+wPPAeB4YzwNj foB/kA+MfLwH+cAYT2W/Bbuhn5Cv7LdgN7QL+cCYj3gPMOUbynf4HeWBMZ+B UR58gXqAUR4Y5cFvKA+M8sCQF7Q8+BHlgVEeGPwCDP7A75SvUD8w6ARG/TQf fIh2Ih90Ix+/05TyMdql3CfqyD7KlA6k4GeUBwa/0HzwL/IpBv8Cgz/BHxSD P4HBjxgv9DPy0U/A6Ef0Cx0//I760A9YT2i/AqMd6Fdg9AP4k2LQjXYD/2te 0XlH6abziOaDz5BPMejcZ0jvS2MN/fVLAi5pKPdd6mp4LkKgGOWAkVoa6Eo1 ST8Z+j9PeGp8TmhlLC8Bo74qxvfwcsA0nWxsL68f+F+pq+E5CxF4s4ER7ES8 B+OI+tBPeB+eNzS7vZ4hRb8B/zbweYoJxrz6+zuvB3SjHDD6B3wCjH6mGHSA b4CRDzqQD4x89AvygcFXtL/RH8gHxjijf0l/8Xxg47y0Fkm/8BRywZDk66GQ C8BK/c2J6AcyvmLkd46hp2LcgTF/MD/AB9ArIWeAkQ89E/nAVA5hnI3yU8P5 w/h+R94etBfj/N7YTxy/M/Yjly+QRxh31ItxM7ZLLWKcKL5meE7W/yl/43fI AeSjP//v8mrC/2r+vHF8LDg9wGg/ylE+RQq6kQ9M5RDygZGPcUY+xeBT9B8w 6gHfIp9iY32OnN+B0d/AKB9m5AdeHhjlKcb8wPPA4EdglAf/gT+Rj/Ey8puW jxcwxgEYz1F+oONrLGfHxxcY8o1iOv5oF8aDrg9EbvD1HCmVs2hv+b/rP+QH 8kEf5hGtl/I35q9yf6Dh9ANjPuN96A/kK/Ur+XkqDyDP8DzylXZvR/485AXy gdGPwJg3kDfof+Rj/QFG/ZA/qB8Y9VP5BPmK+pGP+ikGH2K+AmOeot/BD8jH +kXLo50oj35EeWC0F/oS3o95hPLAkAdY77AeAuP9WC9QHvJXub9R8/kPjHYA Uz0C5SG/UR4Y+eBjzBtg6LVYr1AvnifzXVSeM2n5fAB/gz+AlfYfKv+d+PqN /QEw+BHjBnmhlEc2ZD9jQeaPOed3YKxXNKX6PLWzgC/pvhXjB0zXGbqvxfgA 03WF2lmo3o7ySJX7V2vOX9BfUB9SJT9Zcf7A88r2yesX+Bf6DFK8Bxj14HnU R9c3qh9hf4b6gFEfnqf7crRLuf925HwLvjLKV2d+7gsMuUPlOZ6DHIH8A38i RXlglKfyEXwGOYNy1M6H8sAoT/cD4DfIU5qC/6hdB88D030W+ALjADkHeaZc 710Y+mm8cRx5/wKjH7A+4f2oB/MTKfKBIW9BDzCdZ+Ar5NP5QecZ+ES5b3bk 8xL8ifLgP5QHBn+D36CPQV6Cv1Ef+hHyFeMKeao815b1BchPpf1czddTyEf0 HzDyIR+RTzHVtzA+6E+KMT7gQ/ALxgPzFuWpvgY9jMpJpX7tzPsV8xvtBD8p 9992HFN9Bb8D0/02+gnvB/7XPgDzAnRhXIGxXoOvMN5K/dGZKfeDzuytIU2T Jhh+kNdLzDPwA3CWIY38S78lo+uIcv9nJW41lMv8ax+T5T/4FHQBG9sNe6gD WS+cRWU/OPPyht91Gk4vxhv0AoNew2MNdJxeyA/QCwx6jXxrz5T1OzFqd6Z2 ZGoHousi8mk/YJ3BOGN8Nxj7k4/XKEMay8fD2C9pvL8/GrAZ70+MF/gD+eg/ 1I/+Qf2gH/MH7YKcwXxBvUjp7+gvrBNKe3SwG/qJzge6XlA7PtWTUf5f50aQ H6BDOZ+cTVKlvUXN6UF/Ih/9g/oxz8B/0FOBIXeRol+UdvhgN2D0C+hEP6Cd SvnnLCr7TS3iPZCLVO+m44b2Y/01Yg1/Hr+jXsgJzA+6ziKlegP1m6DjgfUN KdqJ9in7GeuMmmG8kY/6gCmdGBfMf/wOjHEARnmq9wHTFPwOjPYAoz3KftT9 c9+CdtBzYWC0FxjvA8b76DknPXek54jA3sYfeIr66bkoPbek55D0XJGeu/3r 3JGeg+F96Ge8Dxjvo+NAz5HpORqtj/IB7ed/nUOjfZQvgUEf3af8i4/xfspH dBz+xfeUD6BnQh5QPYXaOZX2NvmcAnKC2vHxHPoT+cB0H4Fxx3vwPOQI3VfQ cwm6T6bnDHRfbGMo91VoZvj9uRRj7GCOIwzlfgr4fZpxffxbT7YAfYemyMf6 angsQdZHDGQd1v+d18kcQ38BRvto/aAL5f6m4itje/nztQz/CBOgJ+B5K0O9 uZwezGc8B7mL8cU6hn5FP4N/IJ8xHshHv/U29icfL+X8tWDQt9EOPIf6qdxG e9C/aLfCjzkfK+07ei53qJxCff+SK/+SM/+a5xRj3aTnxMjH+8n6R/zAdDwf 5cl6zuc51TuwPivXPSdOL34HpnLu/6bXibefyiVg8BGVQ3Q9NeoTNrx9wJBv wP+S68hH+/Ac9GqUR3/S9uJ5tBf5aC/y0V5q56HrNfLRPirnUY6uA2gPMN5P /cion9i//ILwHmD0D8oDUz9J5KO/aPuo3x1tL/VrovoG9U+nfnDU74P6LVG9 ma57KE/9KvB+rCd4H7CSb2U/EupXh3yMH/KV8z3YDe1R+mm4mLTn/zcPqd8V tVNRvxSqL+H9wNQ/nso96m+tzDeVGyiP8aHtp/nAoIfqB8pzOOd/+lWBHqW/ u85EbmGfgfYAoz1Un0N7gKnfFvWzwvPoT7ouUP9m2j7ko31ULtB5i/Jo37/s 3OA32h7lOuRkop9CDlA5hfbRfCo3qD5K5wnKoxz196brJPUfpvotlet0X0X1 X7ovwvNon9KP08lk34h+xbpA17V/yUW0h+YDE39Tk3lL5cjfdZ/v843ttfir l9txfY36cYN+6FdI0f/KdU8+l4ceV9iQHyZBvwQ2zptkru9RPwr8Dr0aKfRR jDf0GUN3Juh4qtQXiL8O11thf9YRfwA9XzeAQRfKg27kQ7/C+/6+R0R7UM74 XjW/NwQ+wf7GiDUMei36C3o56IccA8Z70Y4w43tF0Kvop/z3Kf1D4D+bLMDu B/0b7wcdqA/2P2DkY94p8CJZ/0Y7ML7YVyjOaw/rOX9inoB+tA/1G/IbmI47 +FRp/07i6xRdByDHqVxGeeU9Gh25Z6Jj1G+JroOYV+h/pf7vZCJnqVxBe9Ef aB/kCuql+iS910PlNPLxfmC8X3mfVWdy3xNyCfT9y08O74W+hfZT/Yven8Q8 RPup/kbnMZ1XwOg3qv/Qey3UD4XqU/TeGuQV+IHqR1R/oPfJ/uWXjfbS+1lU //gXX6L9VD+g95voeo1+QHvpfSG6XiMf8015/0i+r0P5CuP2r30e+AsYchP1 Qn5RO7Hy3C+N222o3ZTyNc6HIZ/QX8DIV64n2VxeQd4SOWiyHkBeAeP9kPfo 1wnGclx+K/br+Rh8h/KQo7BHga+B0S/gN/QL7E9Kv+9sno9+Bv2Y1+hfrOtY LzCuoIfaabDO4nnY19B+5KN/lf2pNllHIW+JvkPOo/XcPoD2Y33Beot5i3z0 L/LRXpwrKv3EXP51bmIybuATeq+F+rGjH4ExP/A+2MHwHowT+gH2O4wP8iFf kK88B0zj+eBb8Cf4Fin9PdfQv7/5fED9xO+L9w/Kgc+pXyXowO/QF8BPGF9g 6qdB/ZTA16AX/QGM+jFfgFEvnoe+BYz6lXYeDecvyDG0E+OK+qF3ob/IPRz2 Dz1OVPKvMzP6GZgZ8x/I+iPmMTD4Ae1AuxT+ALK+KoIe5TyA356a4TwO+VgH gJV6kZopz+f4eSHnP8gBYz9k/O2X33w/oFyPM4xycoaez3fwLfYzdH4gH+NG 6UJ54r/F6cTzyFeMk3w+wui5KvJRXnleoebtxbxW+kur+fuQj/qA8T7j++14 vyJfKZfsmNJf247Tr/S3VfN1D/0FjP4AH6J9yEf7gNE+ck+F51O/FPQbvcdC /ZJRHv1F/aL/5ecPesk5lUjvNWD+g15g0Ef5DuOK9mJc0Z90XVHyqR3PB33U Twz56C+sDxg3lEc/YJwhX7CPxnigPNpP7xehn9B/yMe40Hs0yuft+LwBPZRP UD/Gic4zJV/rOd+DXtQHelEe40jnMT0nofJI6X9sx/PJesv7A/loD/LRP2gv +IbW91ceiET/JPPQheobItFv+DhiPaN+quhPpX1KwzHkq4I/E0ztKwp5liDb P4YY/nFH8DIUfPe339OFKQaca+R/phMhr437jr/3t3RmonKeuHC9ABjzB+OG 9QL8j/5BvmEch/3dP7/Qs+2Gf3wTnAz5j6UvhvJRf/cJWUIhwwuPCrWNdPyV P3/3BzoNp9/8TzMWaXm9V/+UK6YXsb6iPRiX9kZ+4uNI1z3QpeQrJ75+IwW9 yvgzjibzi663lJ+I/mUst0hrYldWrod2XG9WnrPJejTd50IuIB/PK/3qZb99 6E/K8ysLnu9hKH+Up9QOS+cZ3qfcz2u5nQ39rNw3qHk+9snKuAWOolI/dzG5 56Sk24nYkdS8X43tkc8h0c9KeetEznnVXP7heaV/qh3RC8yJXcmC50NfB18r 4k3kY+V9OB2DXkb9ARTnrPn7AMxb6J2wHwJjvIzvzzTyQTE9byf4E3xP/QMg 98i6ICr7QS9SPzvME/Qjxhf5ynstar4OIJ/OK8glzBfIQTqOmJfgP8xD8Akw PSdBezBu1C6D9iAf9SvloAXBTuTeqXxPC/UjH/VTP3tqF6fzTekfpiH36pzI PVdHRvUp6oeutCvIfuaYj8D03izopn6YyKd+mqCPzGc+TqBP6dehYXS+K+2u jjwf8xX5lA/At0q/fTWj+hQwPaeHvgG+o/eEwU/k3hW3D4Je9CvoVZ73acg+ xJzno7+V+yK1yb6E8jUw7JGYx+AD8AXohb5C9gXcTxl6CfyzIc9gH8R4Qx+m /k7Yj0MPgryD3Ic8Q3nUC30i1fDelxL0DWN+NucvrLvQH/6mHP/Vjzg90DeM z8t2NayD0FtQHvIXGP2FeYJxVPpdav65j8c8pHZd5GN9wDji+X/s8xndv4Iv qN6NfMhX1E/1bJQHRnmql+O9VC+HfoH3AyOf2IFN9q/Ix/vofpX6QdJ8pT+L xuReLb2nqxxHZ5N7rHR/CIxxA/9jftP9H+Qj2kfudZvsb5XnarIdA/KQ7n+V /iCyHyjoBca4AaM85B/oB6Z2E/AB3a/+K+4A6Id8RP8o9TUt0ddkuxAw3T8r /TfkeUbtKGg/lbfKeSXrKdTu8695Akz1CvDVv+xUoJ/KAaJnmezPkY/+pvtd 6h+BeYT2Enu5iR1aMc//5xwFegTKQ14CK/UQHaPn2rD7Aiv2Sf9zP1+5zmfw /S2w0j7syNuvPJeT7YdoD103lf5hamI/VJvsC5TnampSvwU5b7Yg8tvCZJ+A dtJ71DQOgzKuiZboQzqi//ybbvQr+tmYqri/ATDGBxjrKrWbU7mFdRpYGQfU tJ1U76PzmsSz4POclsc8Vp7/a0j8dDpeOO+H3UpF/JrUZPycmO+ffzzQiIp+ y28H5ALo2vR3vQQ2pnJcauU5qQXfryj5wsZkH4v6lOeqFiYp8um5CfgT9UEu 4v3Yz9H9Euqlein6z1ifObH7WZjsk9F/KP93XLnchNzB88DK+N5aE/9Z5IMf IPfBD9SuR+LYiCTOjai8l2tD9mN2JvspKgeVcS1lPyT0HzA9p6d+++hP5f7M RST6g0jOYbj/JfiTzjtFXM1FWgZ7JvVrwThQOxO9B62M06nmfIT+ovFtMW7o d2qfpvF1/yXn0X7wIeYp+Bp8Rflaaf+W5wH4CvMEeii1f1O5QvVqOg9ovFes A5SPgGn8WfQz6P0rrzkGX4D+f9hROL3Ip37l9JwI/ABM/YjovCF2DG7Xo3ys bJ/M93ReUDsvtQtC7kLPAf3ASvrVXE4jRXlglMM44nelvHbiGOUxzuhPGndM 6W8vxy0Bn1E/I6VfrDwv8F7qPwWMdqOf0I80LgEw+A78jXMreg4MrLA75esH yvtV8j0w8AnaAYxzcdgNUC8w6ADGPgjyBe2DvMJ7gWFXgH4IDPllbG8KPw/5 O4+I/iNjw2PFuL2A3xcD/cB4bowhI5Wfl+M+GcoDo7zRXzOFl8f7DD+/kNuB eY7ngFHeUP9prTI+FX9fBrf/AqMerBPK/kzn/QNM4xRh/oH/oW8p7RvOJvsq ei5G7xGjXXQ+Ks/x1FxfAv9jXuB3mmLe0X0a3g+M99D5Su1+wFgHlPdO1Twf GPMX76Nx9Kg9l9pvqf5B7bGYN5Df1F5Bz++ofZbaI6j9ldpbqX2VxommcRSV caXVIo1TCP5S9ptsT6X2AHo/gtrVqL2UyjuUV/opyPtpel6LcpBfND4P5BS9 l4pxAIb8UsbVSON+Tsp7sdl8vwv7JjDOU418lM7lh3H+J3EMeoAxzko/xWTu rwQ9EhjyBM8r/Tzk+BSQN4r4dgk6Eh9D9h+CXoNxAMZ4A8POaoAPNCb3hqhd SrkfcCT2DDsTOaH0W7DjeiUw8vE+pR3HhutVKK+8n2Bjss9Du6ieCfwvPZPq ocp7SGqT+38oj/bQOIf0vh+NU0rjDNLvNCjv+6lN5pFyfrgQ/URP4hTpGLWb Y16h32mcQeRDX0L9NM4v+pf6cSjjYriI5F4Kpw/vg15K9VS6joJe6n+k/L6L I8fgQxoXkN6nw7xEfcrvpzhyjHGkcQTJfs3k/hu1oyAf9NPvaijjuqhN4oUA 0zjb6F8aB5jab5XfD3HkmNolwGf0+x10Habnrngv4Utu78T5lvEDTY+Fp4b3 fpJijKmM/8p7yHXwGTCeN9Kb+NdP9Ae3Z0K/g7zE+AAbHiv2V99jOpN7YGgn 2k3pUJxrLdKS+/ZOTLmfUpvYLZT3peR7pWi/ESdxfRHtBV24j4TfjeMVz9cT lCPt5xjPGX63l7GBL4bJ948w/tArIFeU99FNzxXouYPyuz1a4ieiM7nnQv0I sb7ScxL0H7VLKO8fyX7GNI4mjXtF4y5jPcD76D1Hun+E/MR7adxMGqcX8hDy j8b1UN4HTuP8D34BRj6ND0Xj8qFeGkeVxu0DPdCn6D0p9BPy0a/AyKf2LqVf ibmJf+b/HddH9uul94HQbpQHXRgX5GOdBaZ2AnpuCnroOSu9P0TPl/7OOy7f 6fk13afhOfAnMPgP+hr0SfghYdyA4Y+Ic3z4R2E+4j4KsJG+bC4/jPLkN9nP 5nCM8UH7qN0Y/vuQh8CQN9AHKEZ5Q/0v/vrrn5Yx5BMwfR/6B/wPeYlxxbjT fQnWF8xX+CEgBf9DLoH/ML/od2CUemYS5396Xq04d1mE+67mJno68o3tVvF1 n8ZRpXY/lKN+ihh/9L/S/0r2e8P6qODTBDm+G+VT8DHqoXwNPkY+MPZtOMcE xryC/wn8URDvB+0Bpus65h9+B8a6qOQjG24PoX4W1G5B7/Er989qk99RP/qL 3kugdk7IJfQfvYeinHeOJn7k0E/+5ceN52kcVBpXHpjGMUV91B+D+nvRexlK vcGCY8hf6r8A/sX76b2Ff9l9MJ9pnHsazw3n5Jj3wJinyjjQsl8Vfqd+VvQ7 Lli/8T7YOfA+YIV/+CLZPwDjC3429ous/4BvaJwR6nfyr7gewNSvBPKYrrcY R7wHGONA/fSBMR6wNwODv+BvD30f9GHe0HsliAuK/lLYL3AvYpjsn491EfZq YPQL1knYf6hfCt0nKc9jHU3uVSi/U+hIzmNlPxfoBagfGPVjXUP9yKfnSKif 3puDvRkY9ULOQY4r+CxfviDfyIdOPB8p8jE++J3G88Y6iHaCvzCfsf4ov8+i 5f4syAfGvMA8RT4w8jHf8BzmGzDWSfAj5g/9XpHyvmQSx0o/MDk+nzKeRRLf vyn84hJ03H5ooLeY7HekPEdSc/9HzCdg9DPGga471O9KGTdGxtRPidr7lft4 O26/wnupHZfGIVb6+zmbxB0GBr9AXqM+YNSn9J+T436gPmAqB6mco98Vot+B oXGY8X6qTwFTOx31O6f3erGe0O9ooZ+p3x/0AXreQddB6s9OznUZtd/ROMfK eMNynG1gRdy+w3K8cchZQzEm23Ugn4Exv/FeyA3o2ZD/Sj1DvkeI/oB+oeQ3 CxN/evQvvVcJfQF0wU/Z8Nj/7C9g/wCGvME+G3IH7QNW+oU7cb3dSI+KY7p+ oDzsSSgPTNcP7LuU9cmYrh8or6xPxnQfhfUDGOsH9g8YX2CMryKO7v/co6EY /IN9FeQz9H3cv/tXHG1gjDu9F43+xHvRf+APas8n9wdE4g/L7avU7o52Y14A Y94ROzhfr1AemM5btB/8roxXI39ngH53AfwOPQ/8rrwnJN+DR4pxNtSv03D9 6m87+fzAeGG9g/6E++2QI1T+0u/w0u8KKe+RuyjbBb+BBzh3VPP7EcA0TrIy 7q4cl4DemwC/4L3gFyrngOl3zVA/9q2Yf9BT0T7MZ6WfsTy/UV6pz6rIfXcV kSeWvH7MZ+W+05zIE0teP/KV52nmfF2m+yZg6E3oD5QHRjnYW7D+Kb8zEOym uNfC45trOP9hvDFetH8xL5T3StS8fzBPFPdcYf/FOcADjXKcdTJGezA/QQfG W3l+nMz5jX5X9V96IzDqRT+iPqwz9B4P5ATar7QfuHD7HMpB7lN5RNuL94Ne jA8dd9SPeUG/y/qv75BSPRv5eB/kJrDy/pwch5bYNch+VOZH+l1PtE+p52qJ /4p8vyp1xU6Xvkf0LPB3zzINwuT7zw2OaAcubKgm+yNz9m5WvYXnknCu6iJG HHVoOeKzho3S57m1+aqS4/2GHK5R5ZwNtwv1cavSkDVW8XpK+3v/ODBX9hPF unPAZ1xCqY02zN5r2+yTc2U/pGobo8t+7yvHu4Xcj6kXduuUzowNfxu44WR/ Cz5OuV17hQ3ylf1E5zdpat5hthz/1ZDMWc+/Y8DPJdt+Kj5/6lfp+rv5rb/f lP1x7dvVcy/4TvbHfVPwTPdLZ23JOZex3ropRZq9aOIT/XabfP8b/VCmm+uZ aRMTBbGn2rr5pCzOL5u8R1ROGS/7v25/dXHRvfoq3i+Xi20oPWOHLcdpeeUv xKllP/MKh0MnNPhly/GDNpF+l0rJ/qLe049WCGp5R1L6kzox+9DAiRo/rVg1 aMDB6Zf1YslHwUeLT9SylBW/HD9OtRHn9bo1JLelLbvR+/fGowNU7NPe9Vd+ Jpizb+2LJ1/arGV1Ovn3z9yVKbmrWkRk9rMRl/78869vRvlXZ4Yb0iWPAsq/ mK8Rn79ttNbqbaBkt6T0nz82o3jQ5OJBEcK3/kVDNpxRsfQBPVWukrV4ZNzk Lodr2LFHE1qXarjSWkz2qOFdc6GKRa5+XajUGY2YrbM5F+SfI+1sOjFo1G4d 6/H81NDnp7KlwsceuRx7pGPnuh0qFrsqWag/7fM4XZvnQok5ia7FY18IDbqW Ou1aJlkIrOFjoS3+QWowvHO/nq917FeR7a2jB7+SPBcc3ZV0XMfqLfVsuTVO J9Y1puzk+iV9j1jpWWqZYwcaVtawGnEr7A+k6ljQtGVa2+Nq1qGI+bFK5T4L /m0rH1vVWcOqqztd3FnjHJcDiwz9GMPtMW/rV79xdHgGx+sdt1V61lfHNhhT 7hfwzbbY+mjn19L8h3deBHnJ37OelsAGNq2Vwc/LUrJv/8z/M9mvrzk3s5Pq +y2ur+zapxkZVTFVqBryM+FocT37Nedgg4PT9WzJqe61zKv+kt68/WlRwzUf R/eOOZcYIfStvbfk426/hLNHzrwv8S2Dy/+2SRdtYzfFSz4/v27RjNazx00m 1euZniAFf3EPPZJfX+K7MpOGFvkuXDlXJOp1RqCUvTos5IX3/3xvMyu00eii 8ndHfJo8GOahlePR4/eHQpU8vxyd+MhqaPXLYXI8pcCBQ87U8kgVnrwd8r3W jM/CgJAFUyvcdhZH3lr1VjtGJ7rtruoouMvnoOXubQj7nnyQ98OCyOJlu2de E3o+37Zp6M1IwSY8aNXW+CChePU3P5t3+S58XTpi3rO1lmylR7ckhyoO7Ev7 EVbdFq7hcv74s6QyMcVkvWlETuiyCunOYu/JNnXaRalFu0zt8+vllnO9fUpg 7qlXKz+axL1LLNHTcm5QplB+e4tZYc3l76Ngf96wTMjDriv14u5DE9fdbqxm qqj6m990y18Po2tUHX05n749u21Kl1Ozzx3HPBn62IK5/67oEXVPxS4syTv4 q429WPK/K5pXv9XsbasnT8dGq8WIyuoY8zRn5jOwR9HoNs7iamPKwtMyN137 pBUv1+iWN3a0ho0Rywg7+uvE4UfWaDxy1WzrUKdrVW/lzzPNyc37nRyYS7+5 n6Zc1DGfG18zvKfZsyHnNa0v1FazmM96q8/JDuxjUXXXUbusxLbpgTdb9XBg 5oXMSgXl83ebYeUdraZa/R1f0zT37zo33z+n3DSL38KJRpcXFmhkxfrN39Nb W8VZXNb42fIjraxY3OSzC/t4OIuON1oc3hdryRxr7ny4dln+fK2XeHFWMSv2 4eMEp4k+OnFs5etPO6Zbsn67n/8YEq9lnXM2Z0dVz5Mix4zd3+u6Jes/9Ubk vlK/pdpJQ/cU0VuyL2cHqj1zk6Vpc7ZXPvzESqzi3Xv3eylZqj/iwq7Vw9Xi t4gBvlMr/ZBa/fcu63hBnfismV2iWp8iWdZw7ZPoqRNvV5jmXHNAojQk1aL9 LDs9C5p64FN6YoiUpLV4GiZq2A+Hbu5nZzyWdHULnas5y4G9qBL+wDk6TPoy fIz3iAoOzKqoEOsy8qV0fU5U7+6OGrGL173Gj8uGSeFLfDee/U/Hxtr/XBF6 4KWwWCzQ+1BtZ5bqX2jZ86xQYeS+F2/rfrJjm3yuO9cu+UzoOc8v4KC5g3hq RBfnustDhZ6rA70K5cvLYt2THQJzEoWrnepvvX04R4rYEuRv2zBJaND945NH zjqx+PADYY3r/xDS21Vr1L2zTrTzvZk1uVGyMP+J9+4V4Tp2t+FN955DsoXi Pc6xD5d0zGa8wxbf4r+FQcXjr2yqqGFRnYa2d+2dK4ye+FJb7YYDKz350bi4 nbnC2gpi4V5ZVswpV5u6f0+WUKDSrislx1qx3juCN64Y9VsY3Fbw06ToxCbd wgtUdc4WnmwcN+LmeTVLfZ+72trdUizwe4cqrIA9O1Emcp+Zp6Wof5oR+t9/ ydLovbGto3dbiTcKTz559qJa/DTE8llma0vx/PTV7drEqsWaLSI3TVpmJY4c t7r5zPx1IW7z/cYL3e3FhVM67JidL+dda1T0cIuyF6s3P7n6pZuG/dy/79ij AAdxbmxu7t3mudKeqgnvC/s4iGnvfX8k7nMW+17d0P/AMnvx2cKKHbbl72Ne GNP89jjurjPLni09EWCvruksTvg9sHzoVUvW6dLDvNUVnMWElFsuU1LeSwVG nO96JU4tbt6+0OHntTdSU7cv1iNXOYtXL/rV62CmYRPLLIu/+kEnzj5lPmxb gWTpwvr2Y1eH6MRR/Xb0mH/qi3R6TdHaFQvrWcXPI0sUddKzNtldut05oWGr tg7vt3X4O5Pvq9j+ER8XAyTd+RL+Vc7IfvVTnQ4M3n+fyfrJqLeLY1bLfhgd a7h1WVjhmJAQo39yK/2l1MVnXcXTfpuE2sKTAUtrPZCqL14d/mJ0vh5TvmXP BI9jwqQqE3oNzcngae0FN0J9kzKE7Ievu17enylY99+f/5chfBz45NXAJ9mC fu6PrpEvMoQH3x7YdD+TJZRJ7752hyZZWjXfZajrMtnf9Pv5sfvvzNezn00D 43VneCr+drIqsem2nm0p1Hr6ptV68dfL+t/HdUuUKoQui62+QM88C468NPft e8F36ayGVcLSuH+U44qWDisC9GK4T8fN2a4pfD1YauiP/ULzTkEndgSECo0N 9HsLu2pJJ+91DhbCi7e7FBD9jK+3iUM6VHJsY8lcToZ16vVW9mvc9fqCVKq1 ni2e3td7et8Ybu8YueVydGrLZ/xcHO/9o7UMfa5habFbO/d2zxY8Jr+s8bi5 jn1T7Wo4LtxKLPTMU1xormfF6qe1q1jAUfw1vbZuYgs9mxk5u3ZwZQesF6xg zyEeK3trxMfMTZ1eS88mtNp5/+hN+Xsj8650mrXkrHz/P/7FtG2B4XLc1gFv Cx0c45YiTFtQa2dQgAMb2njH5tRqllxPhB25oKrd2qU9ZX/Y/umL3lmOsGUN p1YfK7j94nou9JrMpv2qT1xrxc+XAq8/rVG6gT1bc75K9vCOpt/vuDX62dym R+xZk5I2M8xLy3HfsS4uGdf/Ue4CO9am5fTGGRfk+AFHPlU0L/rATqxnNdm3 uc6SFXdpHuR520Gc5b//TfcDudL7aYVXFnxlIb6sc7feDLcsaejpk+83SZYm cTmmWT4M3PIjTbrs3m/NC3dHk3tNM+q7vrDcki29qbAzxtVWaxLnnYVc6zeq R7akKt9sgUeYnuazRbf31/zmmCydz75xqn+SHE+gROk6J9eayXzkaX6sZZea ziZxNuoH7OkVsOer1Pllvfy/fH3doEh/lrqr391oJ8nfv8D4CBdWV3/4K0BY OHVoYqtc0+9hVL6f9axvKX8puub0A1dG2ok3y+4+vi4wWDq4eN+9D2by9y7q PH8+4eA02Z/13rU+P4P250r0exON0uonux9LEX6ld7vSY6Acn6DLtUJlN7Uz 9W8dVa90bXWXBKGgu9O9qGDZ7lTZ46x9Rv5+kX7vIqv/WteUM2nCyuJ+/bVx WvbwaNVxG85aiEevrD7R28fZJG538+Frppadbi7GH2qgs7FwMPH7/jmwpn7/ J3PR2H8WrKcxFcf3DGk0v43s73o7t1L93KOmccY9nDYntulpKVq1Hb7q1Uc5 fsC6p2xZ9V/fpVr3e5346GUnzorS197V0fQ7xd2rCvkanq34ocaXy4MCZf9V oY7j4Ww3PVsVWDPBZ4hGvP1swaKfmXK8gYRPGyZ3OetsEhfpUwfXjx1cVaLP EK9Stc458PxfyXnbxSx5HtZ95bVyuGeWFJ3TW9W6l+wnn3um8hJprEa80OC2 u/d0OX5Atfk7J3eKkr/XYPG4v2+FlXL8gA8XPnxKtHVkYZcOf3zZRC/aPvz+ Ju20afyAHu99Fm2eoRfzLmfFqVfL31fotFJ66dHCgc/zevunfS+rkuPpPfe8 ZVXJPpfPs3aD97TLDX8i5LrcUNlpZf/b4YZ9oF48WPq0z8wxevH+aOECy9Ey dv1Rh/6nLVmNLUuu1R9mz1ptK12kVIwlm/Laf0+XVBt2s4eXy87fziLSVq7n 1wUlOovb3i/5aR+pEXdc63fnS6qWnX330PtsTb0YXPH6Fd+vWnY43HVThx56 sfvv3edWzEwWsry6zl55/ZmwaGRC/fk1Hghbg/pYqSomCL3X1XzWb36I0FSd da9XrUTBPT4rITR//4UUciDx0ZL8P/l7B7bdI/P/tOzoYK+cT0Xk+NPYB2Uv lyLbNNWxwjUuvI+9IvsHZBw72vtjtI49tLmxYnJTFbdTBNRyulvLyZkVPNW8 wKnmUfyc8dcRz6wjnv6CS9Pz+qbnP3C7hFnNY5+jXHKFPmcGXp8SJX+/4EWL Ng1e5+j4/upW7pdhmtnJwjHt1rlFh8jfIzi9tInf0iafJenD1Ymfbt/i5x99 Rmhy3uj1bHm3QZ/C+8nfG7DJtqw1tZl8P2R2w22Tkifo2dXIzbruB+TvRV/7 kDDjxsdUocOD6pWvVzAThwY1Nr9TRM+iHsa1fe6gYx/PbNHvjXUWXVv4D6yl VvF7Qz82Vw9ZFSrP4yo2HWYdOq5nnUc82Flmuuyfy9erw+HqhpY6lpm+9H3d GDkOwjDfzEo7tIkm383pEG7RKdzCiZ1b0qXm0q6yHEJ/HioT0/zGIjv24+zn 72c/p/LzPszrQjPOr+zVz5yvy/Nz6jcdo82SlubZ7pn2UI7f72T3cEO9GhYm 8fs7ra+wt3RaojR9XuWhMyrK8R5+3j8VXfOOHJ+/pGWa/7jntlyej9kx2iu8 leyPm9Oy9P3RN0zj6U8a/ee/JL6P9Sg0aNrz1j8F1jzLJWqOHF9/ctyNOe0c nEz8a13dfUq5++QJjz2+DO1eM5OfdwU8HBl2tK6pP+zcUhX7n/lkLSaXsLbJ 7GYaH/9CvZi2Oc3k+PgPJ/8xKDmKq+YObGhlEcf9XT19Cr3tXl/2Z/3R3H1H 7A/5e7D3B7yL2bDTjMujLP3FjsdTGF93+li+/bQ4VsX1nhN3C+0LcVKzNV1H 2ryK0LIpfkVZrlrN5hcJ6fPjpZY9i53wKvRNqhA33CK1aegXYeBMv3EXq6YJ jgtXf7RZ9lWw3D/K/eGBPMm8UtGNU75p2ZpB33TlI3ViNU3KofaZcnz5o4YX vuf+B48PfQkuulbPXn3pNufuMjnOtJVBYY8VBk3WR8+8/Ewa06vN8F5t5Pjy X4scm9bR66swyPr5unEpWVzvv1rzYP+RnjlCTonuPbP95fjyiffmxd2b94Xb e/j3FAfazJtyLYv7i4VVeb/jRXye8FqzMMz/Zjy3j+Ac41apcW47hWdSgTUv l91yyJacp/c70SJGx777n4n3P6NiBvPfZD1bWCfSJeauir245V+8cFU9u3el 3PCUxXK8kLr+/R8FpZozr5/Pa6SX1LAuF78uC+92kdtRFj20mlHquBzP2+/c 5pqNisv3rEe1+7W3c6V8fXuGbVbDlyncP8/Yr2rWu9n5o1/yzNizmLiZTXRa 9iju6ptWi/yFQ+uLBe6c9pXvhxalHNxfgr0TSle6fDX461nh6MIec9d0Clfa f6cWvvW8XKKPyne0QON1Xw6IFg8W0LMh+7T3NoRlcX+ZMzdOnvX8phczOj/L THLSso62hdaOLqRlNz2YW/E7NqLnxJl5Ba1ULNWXbWza2VY8O678rBexGnbO mIqzfc8fKbdCw4pu3Pbd7K5WPD6mmP2qGRq2osyqr8JXrbj7xboAt2gnZvOm bOG1XbTiBnP1gglf0gRtmxmVxj35JrSc6Nd+ce90wa1TtQ6TVsQLmQHdWzXr mCGM2Gt3vrDFb+FxRo/gJ/HpQvL0lT/2/ZTje89JffK8YdskoU6LoVNC9BnS lCJV77h56FnPOn8MMTcE7dCowtM3adnMO23qetZNF36GFvXMeZUvp9eEzP3m bCYWXD/bq9lODYu73uLYwa8O4t0NTYYWH61nz1aX+69TCVsxdH/w7sWttWzv x5OHg1004rPfDg90B/Wsa0PHcevrqcRB9hHjLufrKf9td93XL5//nuiPlFz2 UMVGxA3Y2n+ohSgceDBZ+1zFIqKHfbrjZy629qre2jtWzbZefHItx9NR3GRM WciK1KcrUh3F+3/U614OLKHFk0cuhzXiaL/Iyl02OrLo9ldeFC6mFeuN8+0f 8sCeJXU9sOaTl0pcNC2uhNUpW1Z/+qPF7XvqRZ+6lSuFNXJkvl6padJIvdi2 YMjiATEOLDG4ncvXXVrR/EO5ztqHtix01qjY6JaZQquUMt2qrLdlc1/2KHtX shFnGVPW/neN458qqFi5cO/A7A1mbITP8qxhr53Y0eezni0q+lt6FVF5/gB/ M/GFMWVJJX/m/9mLQV2+B3b5bsb6ejH1s10acXidgaEqvRlTrWy+c2+CRiww pcrnQhN+S8/n6WLr7nMS7V59EFqlpUtdPlktnzFdL37tVqPnQmczxsrM3HZE 0ovlAi7fv+D7W6o6Yrpj5GKt2OhWSXauW6bUq+iD7rljtGxl5/abb91Jk9bO yo0fVknLulddGxpWN0kK2mneTjqmZ3O2hcyYuidWqvu4ZcOh3/VMf7ema6nX idIi8fGKV12c2O8FI5N7eWVItWMT2neaYyn22ZVX9lV0hnT9aOSQFWEaVv3h l8THxWKlrC6tIkZWsWDf5wzuUyjwi3RKPb7GuGRzFtStVIRbh4/S+TcfW7qe tBE3FoiK7lo0Wgq9trj7yKJ6sWGiZ9d5O79IubU9E46pzdnGdoPvDYhbLg14 Ueaql6+d2HBjt9FrGgZIZeJO1Zr/ViPOc4gr0cb6omA1YF5W4gkt235xR4uh 6nihUK7rguTZWuZ6v35c2b0/hZtDH1y0nqVnJ3PMViy7kSqcFVZWDj6pZxt9 LQ9Nnp4suESG+7TL58N5r1QDx96IF5rvqF8wzlfF6n698Wh/yx/C5qzk0NsJ GhajLhBdyixdeLckddnjebasXYDw89vgWGGLb9xN+85ObJfF2pgf3dKFYe33 d3Of4yg+HHfIZnHTeKFWu5Ca7UIcxeulG0ulG/8UEryH9pq+QyseYpEDe9eL FPrfF7Y26K0V/c+sW3kh6p1QMCvzXVUzGzZ3RcHfseXThKav44ZXPmnDWt6x ji+6PEmYZzgf+yUtMaZCe7OG9p9df0m+Vxq8eN0mSxhbu2fu+JIZwq6QU+ab IhKF3qXzTtUJcRI9JfOjO4emC6H7eizs8FvLYr8e8l3fxUI8ox8xki3QswJb ji3/8dZadLyX03NWkJ7FT7fp6zzZSrxZ2f/3d0tLtm7UmI5HSluIrEXmqUD7 dKl7Tp3AWzfMxEMrfpzZvkovWi1vGz9YayFe335aV+iiXpxWe0CFGiMsxbQG GSE1/7NlGcZUFOdsKJTTxpG5G1OxZ+jnZnsWOrIW3Ub18n7gIO4s7v9zerYZ c8ycNKj7BRtxXu4AF9eEBKnZ1T59xifbigMvTLg7/omWdVnlWsTsq0ps7nXv ZPGrWpZUsFrBg+3U4v25e0r6VtYzP88iXdv5aMRH1SuWrLzFmjWzD19j1clR HDzoUK3mH6zZ/fgfKQ5XHUQ/qcvIu2HZ0ldVPUunBCexgKrKxf37vkpmSUci e1vK36Ea8SpjxIIwrWj2IsX73v/EN99tY6Fq81SObz7h9JlyRXfYMtc66xaO WqoVu1UcWK/mUwem7n+6+OupevFN57YxVsHmTJtYf3vHGVpxWPSJ9FKnrJnH zZhS/UbpxcjcO+/61bNh68xK6V9G6cTJUU/WDuuRLjWudSC3q4VWDC53+NWx ixel92Xnfhs8VStWW9q89/ONedIxj1u1qubvb4JfT+m3KD5P2hoWVOdCZdnv fknDI4saHpHv/9w8u7rXQy85jtA0qfsMqbuZ2Cw9+sjxbGe+733Y4bHnx2by vYvHy2sVTi+nMYnroEvbqe+VoRWXz9sxR2gbzPXLan/Pr7DfeThgbGznwnp+ 3v2pyLVxzv3TBeuhHTb2/Z4rLCjSbYbZCZ0Yn2rz9cNgPfvU/k3hS/1ShZ8G u7yZ+F7n0+jY8TRul5jW+/aOQj1M45kbx0PHdglvZ9VbmMr1j4d1mu6aEy1/ xxX9ETCla7lqGVq2YEIxD91ondi3wqo6D17rmUc/XeOm03RioSWH6+0P0LNv D5we3Zi4Qih8oErW5Gn3pEvt/pw3jRX27MttMOrqVWltUIubxQpYsCmNbrf6 GufMyj3t0+/4Ix1rXzh2fvIgrbjs18VbNX11rO+t6yW832vF4hUOB36J0bMz 7RP62NaW450/MaRfBG+Xfplj3ujE2E+lHq8trmKfPkRempEtf78M+8tT3q/u xg1xZOmtHeyvrFkmrHzQoc+FTfe4/uezN2b23pgooWkFmxMOFZ2Y99UqKbs7 2ouLr933/ZbhyEIXVQsr3FonVi/YtvwxnTM7blBc9GLv9fPd6h2xYWn9ho6s NlMndr3W+/LL43rRxrX2uBbLtcyn7+mS89Pl77KfTkhrseWctThkwPNMi7V2 zLh+6LhfxJZrTZfPaaVjEeE97nh5WbKIau6pj8vpWMhDdny1uQVb3e3Pwdxv vg85+a77mg1SrnC74f5OA2MtmOe5ytHu7fKEr60TK29YaMFsDi8pYhYkxz/v XfHM8OxTWpaYOvbC4UlZknvq2Gv3zlvyfNgXDhsEW7bkfrthiNlES1YlaWzR cb8zpBcjJn25UFXD91sj5i9vemOaRoxvHnr9140gyWL5mvWBneXvVk92GfHx fk0dS7u2t/Imy4/Cvne2DsVsdGxLkveXnNlfhFO2H3bmlnDm5f0vVFr3KVvN Hq2zLFNpzHtBalAi5tRCNes8fkdU63KRwsFylpu7FnPg+zvWstXGlf0dxOZ+ zV++zvwgzLzXplXGHQfxwL1dg3PPfBG2/dipfuKo5/vmmOMuL9646cX6j3e9 X+qWJywaZq1/2CI//+q8t6XX5AmJ1xtvXeCl5vu3ism9g7qEq5j18bsHrTtZ i7VPiQtPPrXj+U1/nmm2srkd8178ckXRodbioMvDLvQYLMdJfFo16KJZvt4W 2Kl7/YZ9NGJy++PlR/WTv+tc61XEvC229sznvzIjFqg1onp+6W2qNXas6NB3 g06u04gptfeWGrbJkpfv1/5kWonKliygQcSUTmU14riGb3YUumvBzGpoCpZc IceNbd3hsHuHw7Jfd5ebezc3ttGzSVEVA/v9ihVs5gaFsvDf3E9raOTznDv3 fwv1jtjbDZwZKUzzPVLPfPEHHj/946QiiQ8i3kunUtr07r89U3p0blUZj/p6 ts4z6GzkGzl++tKtldjxts7iy4mDpvz6rheb6PYPH7hUjo/+rHiVgvW8dcy5 gOPOVvds2N0nI09OStEyx4b7Tgc8yZMm/biwqU+8Jbu+6M2Hb87mbNDtOgXa H5fjz7z4Yy7u7MhSDW4C8dKs2AJXvo9wZB+PeLy9sCtBimhzPOPJSx2znyjd qzfknPRI/TV7SwkNq/qm05pDZ65La+d6Tb97wJnteFLz7PJEMzHvtN/w5fUc 2HWpTvdvR83EXxvGZU0+rxMdfdzV2r4ZAuj5r/PWXYMv24ilExzdrs6U46mM 3X1h5ZJIZ7ZtaOeZ84s7iRNPn3u29oyzOD6wbqlLF3Siz2LxRX9vZ7Gp9Glr j3y++3CuUIvxp6OljFMblg5rpWc/jj5fmLY3g59XLYqfMPBgWIaQ+rOttvH7 NCHF7Wn+X4bQ9E+SkirMn5b8/EHbDMF5R9NhPzYkCa+vFcr08MkQYi7dvV2g SwpfV1rN3OK15Ee+XNC+WznOPc4knvSu/N2y++VwaeqKPJ3drS/cnlXxhK3P zZQMbhfZ5l9u88Ij0YKn7bjJGye+lt5sNH94TBUjFGuYV7Ta7Byh3cUar6Zf kO/rfdZ4vbd/pGdVDq0ot3uiXtw1bd+I3vHOYuXJt9YNGaoV7W6fO1Dmi7NY Lu56z0YHtOI9w3oxQvjfe52LZhv9mepZvXFr3+n5C/MX+f3ZyKeOr0onhkx0 fau54sz9R0OdluTN+fJSaJJzpoRlmoZN3+I4YYtjOI8LUbzF6AYfM23FbX6D Vr3fomGerWarourbiS3uWxcpNEzDdoet3Kx7pxFn+KZPfNBGtgt/63QqafQd LWur/h5XoKBp/Om1JRL/G2qrZ+VHN26eI6jFcWNXZ13y0bDJwo3mt/P1oM0r Ow+1nahhbhPVWavK5Os5W1Y/fXjOnlV83KrJ2nlyXLyAsgO/pf+nFne+e3D3 9GNrNiJtz0Hnx3qx8f3kC1ld7Nm9nq0dxQI6MW1Ji2UDIqzZpT0jrL1rOrHQ gsvyWT9div+1uUzGM0d2tVaprg2OJUsh5czSO2i0Yu31Zm+rtsiRTtyzb76n vxxf2nVOB/eyMXrRv/bN+i9q5EglFt8ofSI5vz2dFx1LGpgqLSy7sODVkXp2 bHHoGNciX6Spq6o3d+uvZ83GmseF7vosPXs28lvdVD2z67r8WEDPJGnH7EG9 ip3UsFp+B/OHJVKauvJqvYMbNMzb+vWChqrPUreNWW3v33Rg5bY+7hxw94s0 QTgjFgpzZs4VynYrsv0kt9umFf78OcY1RCi5uO7LIRvl+NKxFzp7DC+UK3Vs 0aP40ahYwX//+E6P0/L1gvNms3pJ8ULb5H2eezprWWud7tDt4CSh5j779PPF 5fjS08+H3utRSM9+q6Oabv6ZKSw/Gn76Zr7e4lVtn9nyhYlC86Lrff9Tqdii eiUr3iqazO2gk981rhwQliqMfHDIJeC6HE86oJrUbug5DXtjOfla5VOZwrDV +76VW6thWysvOLi+VpaQHfQsrUKuI3Oc9J/LJctMYUiIrv3YFY7sUE/f8T5z soQdblWnZza2Zj+jax/4r+svYdwI9sNtmTMLazFzYOGm5mKZiEajamXL8fdr VljSNivenqnCfpY9389cjJUuhJYcL8f56dXxcv5fqjT3UMM5hxpaiE6B2yI/ iqlS9ar/Fbx2wUIMzZ7fp84Mtdirs0tIweIWYvMX7hbJi7Tsx0JxinRNjhtr m2AWsmaJjejU8vXp3IGm8adb1nvtfT/LQixX2drvoYueXa5+59akz7ZikTI1 HvXL18/qtxy49WKIpdjD8/26L1ZadvTlxKpPitqKJwz/aVjdP+b6u3aiTbMz NwMumbFsg13GVmwnhVS215ixiXZDuvQ4aCdKYvKO1zudmePLgpGjJCdxWfeF 3tUd5bhpnmH3bwwe7MCKdDg4JaSpiutVA9OaXyt7Wi2WTDl1dZStAy//Zkfk mZXHrFjel+kvnzdW8TgTiT263p+4TS2GTok4c7u9FS9/JyE+5363z1LE66Rq qkcq0bb0VMcy+f0x4IXD4NAwZ7Hw6VvbTpWT5cCKAq+WVD6lZ3ERhSLs78vx qN2KTt+2ro1GnNIlZlqXmFSp2M4DRXbmyzuf0hYF17ilSmFpA+ZtiJPvHXqU aKVaU1IvTt47JWH8Djk+9dX6CwsWnCffn4ec7T68aqPG6/P72f+dQ+g3OR7m r15LlzaffUN62nRZlWH5+v3hF5WmPGi8gvvNw64Z0ybIt08vHZu2YVqFMuU/ SsM3eQ7Y8VXHmliNL508W46ziXU9Zek6h3mTNfnjcvDsmC/pQu/hQZk5NrlC Tv0Fa3q5OonrBLu3XQbmP3+gYehhZhpv+ubeftOd8vWFWemVVp3s5SBWG2Yl Fqml4uuo96W4+ZNaq5l1q8/dyn6S40/XXjo01K68RjyxPT7p0DgV14Oqt/nl XNTCmV2bMOR+xC/TeNSvDt5JGlddzeZ4nIzP2yPHp55TNqbp3mB7sce7XoV6 NzBn/jZ3C513luNT7+l4v05qOY14dEqrl3dz5e/YdCneb6n2dr6ePH9NiJ+Z HL+6TEBosU+uWhbzYmjuf8WSpEKfel2/+0v+/pvXqcIFk7rqWFDf2tW+7DPj ++VGo18cbu+bK1Tbus5n0Xw5DnSEe9ToA0117KDY6Oyvr/I5TZ8qMy2O5vdb t+DfIwKGy/Gr1/z3/FphfxXfP06tUP1aq80q5r+pYFiZh3pWKc/rzp5oFdvw 4HOrrL06VscwDzP/np/pWbjvyKSuVpncT73m2pdl2lz7LThETlupnaBlP+dt W/xhS65J3NwS28faRr/XMLuS5QZJ1yxFy/Ubz3iG5e9bBwWOvbHSku8326Zt //Ctmbn4psiX8Spv+Vz76Ot3hbqfdmahi3u7dOxmxvfJL7VDLDedd+D7N9CZ 1bF06vsHjuxOelBT/WA5/jTmocsyz4LLPJ3Ywaisj0GrdOx6PQf3Sd9tWJ+2 YqsbK3Xcnxv6ZcWB69oH3rdh8U10hwNjLeV7lOv9Sn/QyN/p1f4uOmHyd0vW YIv9h9KNzNkaz/Lbqn+35Pn8ezqB8e13DLVgs+fs3NPkvq0oOUnRj+Os2I9z DlbqhbbczjC14SK/Ai/k718PrumRNK6/HA8a9Cwfs2e+9pUZ+2MVfmeuF++8 GxN/wdKCZW1/7BzRQI7/jHnfv05ZP//88u5nd/vMe2guFli65HSJ8N/S766t Gw3pL8d7PpDxsavbI53oG9FIa3vom/SjwdtRpSLl718PKX936i5ve+aw/MOv nH3b+D0x97hbfhkHo4W76209Xtc1jYs00b/TZP9OscKsi7332pSV4zlj/OZX d3l2/le04Fuyf93BTbViteNL9OsnvOJxcAsV9Ewq4PlccDlbcfg6czkurlXO CKH4IZ3Y/ODKjmW2pwutC3Rv39VPx+9PvR3nviWlgfy96yiXm7uXbLNktf8c 9940E79ubzlo9nhLk/jMhRPWp7fNzhMaPbtZzn1aonRhbcXDbZbaiI69vkdG FUvk8b123VxyP7wg/b61lpn5NXj732EV58PEWZXKnBpgJ5YobF623U453nKg k92p43Nt2II5kV6FPOQ4401vLPf0WWUnetc4ssYtU463PLZs9BHHvjnS4/pu w6tMdxI7fNj8+FMT+fvZ0BtjvFs/ZC9lOWS8j6QRz1WwndYh8rG0x8XjTtoe OX6yakO/a/uiNeKPNa9WXjyuZY1KZj1vHaIXi5yZ2qjRJjle8rBfUU9WD5bj JYeODQqJiDaNl7y1vfWwXy11on7f7UFFWtny8vqn22cMeGjG1ozsdKP6cPk7 7o0X6xst1uvEsStWJEZ6yveYVlp5VEp49FPKu3FH1+9cPh9X1xSd7P6D+0d0 e3Hs5Y0JF4WPx1vVX+cuxwW3N/oTiLU3htX3V83k93er9WlYPKvPO2F2ixON 277Viw4dfy25O/kDj48M/2N+nt36z/9qnn6d4XS9RCs1K74qpc2XmyrW1yur k01ROU4yzkvdvg2undLbju1ZEX74moOape0ZkzC2uR3LuWL1Mni7ittzahU6 0jRpoYql1E745qGzZD4nTy/uEWUhf5/+r//zWmYlPCiZIE3N07tuOm7BIiau KVmh/nepUvMeN2rWsObnyDe7faj7H7MWt55rtyI6LEEqVTU8PnW7HbefvJoR 4Jta144N+mDf9cXTz4JYqksrv8PyPXPhbk3tidPO4vOYWYdC0u3FkovPba7y 1lmMWdB17KuKTuLu5tvmRS5PNolvvGywWeycKzp2qu/mz04eb4SrtubhQ7wi pJF/zyOTDhfoXXaBfG9nUJc7jyrPipB+BO9d7DctUSjJZnd/ppbjE6/vvyyn flM5PnHZrav7VvEyE33ydxURx5OFkwZ7nZloXfxoy40vU4TwQDZvoYeZ2KJY wJlaxeU4aWP1YaMO5+Nyi6+W0s2S4xFHHJpwvOUkPZt8ouXmujdSpVpP+81M mqlntZa0cm58PlW6eb6ntfssOR5xufmbh65Ymq/HXrlgNbN4imQ9s/hzmyX5 62HvvnNqTE6Rth7zj/m4SM96ntyStqqYnt1Z0Wno8Bd6Vvq/MX6r87F/X8u6 1fLxhq0jxs8pIMcj/u/QsMaF8vcfS7+nDxqcP+9a/3wZ8Wc/0qn+9HPPz2vZ lvqflmS6Zkov/Sas2yHm69UdduSOvyfHI0Z84hYNShfb0FnPpl1L6T71XJow 3ZDmCV8PvSrvnpRGvjedLsyeYX7+eL08AfefZqz683/+/njZkrpPrU3jxPq1 TOx+tZeGjS9YN+h+bWeev2/r9vUTP8rfU1oVZfn5QzPZD6rR1x8XUq/q+PzA +xY0/PMvRzZszfcDS5+o2IyqixvX3W/N6u0uM6jjXRVz7rm+kUVt+EVZ8fnS afn6Vj07OXM9vXLpnZsrrdHJevtff9UttSfZLhuZJh22Wdx0bryKz4+RVd6U qHnFSax/snvgAd906W5M5qM3S1XioqdJ287apkgWg/o2sbJyFsu8qtW00ZJv 0iX3Wk0adtTx55/fTPL3qao3+d5c6SmT3/bw+Cj5NH/WzXK0xiQ+cbO7TQ9t i3sjPdtUqMAxdweev+TlTI9tXvZMzL6z3lp7RIibdPvh0hpmfL6GT+9RtHOe GYuvrx697eAm4VCZaz29x5ixfd9mOhZ0fC70LX4iJ947T+oyaM+anL4Rwo89 Idlp+/OkCoFedi63PwvrSpg3CT6Zw+Ne1J3rNvJeI/le7fb1j78XCZDj/g3y OJXo3VNjEs84fOb8NzPnZwvfK3VvVLCco0l847Mrj+RP0RzBpemsA8I2K57v vXTdyxFbZL+khO+DNdm/ncS2l2ete34hQzju9/Jx0nCVWG61c2hGXJaw6UrK 7XuZKlFqv2JQ1Xl5wq7ZRcsGp6pE7YmDpdp65Akhw2K3Ds1LNvm+3O/Cu9ff +WUhjl/VZvfLUDn+8YZEr7qTLupMvl80v7drgQ1R9qJeXWKYvogc7xh6kGZG o7cRg+3Fxqt9L2Z0fsv9ab7s2ZM09GSySZyMHhrr7hprnXj4VM6yRlWfcv90 /r32PjP7fxwtx0OubtA/PksOdTos2F8wQDhzM8/qgNM37re++Y87mV+8cLfJ hIcxJQO5HVbwClypLfeDz2cefz7++xq/13kC23iwTO61DO7f0vpNkbhyuzOE N9le89pFZQtdq7k+tYvIEK6+fFcro2SWUKprxx1b5qRLDaud3tF/iJ4dO/vZ f0himnT/S4UOT0fr2ZSIkmlpx5KkBbkV/rueL/+qTnWalDg1RSh/4Hj6Scd3 3C450WpKZ6spH4Va81ZN941OMYmHXLLrgPy//P1E6/atpqdFS2tH39gf2VrP 4x0v/mPXHCjHuS28Ykj+n5ZZhXbIad/Wlu83o67V6Nhzs8okrtrhyNV1OgZp WHvWzf/eYktxrH1kuNrFid28sMxTW0KOb1ykzYdtiw6Yxjfu91fO5DQNLLMr S453nPy+38iyw5zERuMXnLu00p71TKjd3lmr4nqW7qPlWF2oius9aM8iO21Z 95U2bEezTQ+S38rxjaGHjPJy+LTguRzv+Mjf9Ouvuc7fsuT4x351xZZPWzrx +6DzL4yYVvCco/ikWNPAyCdZXO8LmTL0kU/1DEk1a20P/zRHk/jHo3pkRJ0v 8FvaG3R55qQjTtwffOzDnReOnpLjHaN9g30bjPZtkCaV/fRjd9QGOf5x+eCY p/4PTeMdP5jXMMevRqwU1rpvz3ktncUTx5dvXVojWipz0CciN1iOb3z5UW6v Cpd1zKl9iwaFJxwQ4rpX+3BppRzPuEHnxOszvsjxi0e8bni3gz2+exPs5tzi 1ue4Bvbi3O0jmpfLOcvjYe79MbH6xuxHQuoDl7oztsnxi7e8aT941069aB0z 60a55c+43mhIxiy5mRcV5bHLX28Sz3hUrfelvcM/8nhH5/wDTy23+CJcGG5/ dWuAHM8Y/dW2+w3d5aqxfJ/sY9ifpQuXn989v+i9HM+4/oza51fVc+J4eaDV zlvnrU3iG6+YXqb61raZQpWMazfKfHbi+5nbr35VOTFZjm+c2v9sWv6fSfzi W01P/7jknyf0zXB9M6ijnnxfRs8qt1h+aEC0jVhmo/qLTifHca1qMfJT+jcz jo/e/fm+djdnMWlwv6vJmTbi5qSIEo0WyPGKr6bWrHcwf5/gW3D/thte8jxr PNOzwPHNjnxfu3huMyu/A47irq67rKJ6RUo0HvHsmietqsxBHAAXZnv7WlaL tipxp9DnXfobOa6S/udxy1Y26Sbxidv2rNe6Zz29mDn8+MDxiYl8HK9uW72v 19XnPM7docCpwoeSOqbbX+X0lVc6calLxuVOBR8IWw32/8/SqyoN9QXSPwm3 jKk0x3BP4qNQ8rLdr7EzPkuBaQO/D859zOXuuQnRK53PPROG2hfYMdk2Sej9 dMaaz5UThIdTsyvGl8kToH8a2DRBx6aETyy4548/9Pqx+5/d1nH99PIRswsN 7uhYhsOc0xuq6MVVNe8Kl6fq2OjSfQcu6ijHq2lq/b2WeqBWbGJM2ZD5vjcl dbQQ6P9h4Jomziz5dcGF3ilxJvGIA2Pr3Iutk7/uNfM4P26eHI/Y9cfDDt2m JQmJK3e+f9PaTBzywrvh24Vx0uRWS6u6e+nZrurPV04tKscXbnv0yt6zRfL1 6UHl54yw1XF9N+ppuPeZYTp2Ysivjyvzca/8Xf7MfPwtr1vu+QhnHm844drC JaM7ZJnEgVq3utzYWvl6yICnGc/qzpfjD/8YePBO5iI5/nD10fvrhOVZi+H3 p3ktKq/jfHpx27P/Ws7VMvd5+ydmeZrGI56br75bbtex8itvNVu2I1HQBIaX DOjkxPwSei1stCeZ6zHWFvvbdOgkxxsGny88flMfYm3F7YcBC50GeX6xZK9b t+nWIEKOR9zl9e5to+44sZAa85s71MuRyt9vpdevluMPwy7vNbXByKkNsrke UX/o/FGnnBOkV2VY7r3tcvzhdcuKNzq935wt/lBM2Jr1gscbXnvVKfPrpOPS 3jbZadVGyfGHbaTMkW/XpgubjnoETK2ZICw7Wtxh3mc5nnDvZWanuldyEhOL tWuyODOJxwv+PP/PhiBVWFFv/PnTs+X4wQd372033MaK27G6fLheKuh+hhRw ZZLPwfm/+freJ/tS1+xLeULjatvEIVlyvOCQk+98BoSbs5VFLrs/uC5/d+yo 3dSXAQNsxNSpS3trNpjGC76yN3d6oSqWoioq5cGTrXK84N7jO0+tfuo3X9cc u4WPdXzzTbLdnPE+oL6D+On1+dplgk3jAbeM9W0e62snBv451huYKU01HPDJ 8YDrZvVTnQ/SiDeeaKNOHcwwiQ/c+sqkx+YZclyuR/eGdBx02VksGXMxK2XL M5N4wTffv1C9GZ6/jhTbmHHylmyXx7qUZji31YlXZj2qeVul5v48zmq3Vocq yvGB94UkXP6qSeN+yQ2fm3XaHZTH7W7PNvX7nT7HjFnrHH56ztay+ddLbt48 yYx1X9w3bMJiLWNdg2J8T8nfvWpUwv+ZZawcF8pzzOCf24vK8XWf3k6KOrfa VuyX7lPTu3eYVMVwv3u40Ce8x7euda4Ife23f9UE2rAND/YcfpuWKJQe0Dat uyZburZwg/eMfmnC6nH3d1UNkvWyGnvHeER/k+PNbnnY0dzDTo7H0jN9yo2k H3L82JRt1ZPGFv0mHI8OvrXuoBwfdsdU1edHc/Wsa/9FaRYb9cw6eMCpSd/1 4shmUyyKj5Tjuc4LbNWkXIocr3V0dssh729b8PqjDPdW9nN/8Rp+D9cl/crg 8YPqD2gUvWjuVm7fmFa5tTDqsRy/c36R4/Hr3urYVL9hW29ZO7HWm6s/dQjV sdWVBuwt4OfIThvOs7KEWQZ/IWvWTmUxM/21pSiu/HS4/yo5PtXo4D8XBG3E 0ku1g0onyPH9Vz/zsRz9WI7HOdy12FrvLDn+5ufrqQGrZgcIzoeWl2x6N1yq Vy25zcwHacKJJgH1P1e3Z9+Pr1rr4qpmwsjR63c31LKd+594blulE2/Hei77 vEvPihcbOG7S+Shhzx/3gOvZQlLc9IHHFznydftRRuddbkzDseXt5BzxvIbv i+AHoGnz/rxFhI6FrrCp5/r6kdQ/0W/w1DE6ttH1hqbrmBcm8R1LFMj8Euet Y3tPTb/w+oEc//DauxuLHw6Tv8/8pFxwCdVG+TuxP09M61y6jhzP8O69jmtt f8vfM96VbLfH+bAD92O5m101563fb34v2K9GsbHBufL3hleM75O8xVr+fnBa jdsz37vK3/Nt/7vUU2GD/P3d+u+XRm/Ok+MFpgdtinDf94nHhftQcGOXJl30 YvnYCefv1daxaWHixCqN5e876d63f73KWc8etK3gkxGnYaM2eH95p5Lj/fw/ vkxvKw== "], {{{}, { EdgeForm[], RGBColor[0.293416, 0.0574044, 0.529412], GraphicsGroup[{ Polygon[{{1376, 1377, 211}, {2394, 1378, 2823}, {2297, 493, 2732}, {3307, 781, 2397}, {1377, 781, 211}, {2732, 493, 2296}, {2293, 781, 3307}, {1378, 1376, 493}}], Polygon[{{2393, 1377, 1376, 2822}, {2822, 1376, 1378, 2394}, { 2823, 1378, 493, 2297}, {2397, 781, 1377, 2393}}]}]}, { EdgeForm[], RGBColor[ 0.36666449069752666`, 0.1847637434692041, 0.6323716147657469], GraphicsGroup[{ Polygon[CompressedData[" 1:eJw1UDtOw1AQ3MALdmxLnIEidLlCYm4QUoBAoiGuoU2bBgkTiQ6ugKBDQaKK FMQVoAo1Z6BjhhmKfW/2N7uze+eXk4utiBjAtmH3eJYp4h14hL+G7XciDpN8 4uee6o7KiHFSjvFZRzV9/MOk3D8Paxj7gk3NewqeHDw74DkxPsPfOE++l27E LvAB8LIrn7jN5BN/VhET+B+VOBr33mTyiTmDmHPWsITcbSU+9nLGXaHdv/OI V+/L/eeFbvLQk5ahNdbWQu3J+zDeWGdt3WP3cGfuNPMM1l6Be+H4yhqZ7xu3 rm+xawBf439CzwZ8j4X6Wvf+5JqdQetbKU3rUjUL32Ll2/3dM0knNVIb/eNS e498Q+Y33v8XSa4/Og== "]], Polygon[{{2823, 1124, 776, 2394}, {2695, 1086, 1244, 2731}, { 3215, 1796, 293, 2710}, {2902, 919, 1792, 3210}, {2730, 1244, 1208, 2481}, {3307, 1932, 446, 2293}, {2498, 1461, 1460, 2910}, {2397, 776, 1932, 3307}, {2296, 1123, 1245, 2732}, { 3285, 1874, 1461, 2498}, {2694, 293, 1086, 2695}, {2910, 1460, 1796, 2497}, {2903, 1204, 919, 2482}, {2481, 1208, 1204, 2689}, {3009, 1039, 1874, 3286}, {2732, 1245, 1124, 2297}}]}]}, { EdgeForm[], RGBColor[ 0.46432914496089556`, 0.35457620142814306`, 0.7696511011200762], GraphicsGroup[{ Polygon[CompressedData[" 1:eJwtlL1rVFEQxW+ym2TffU8FsVYDgqBsAuktVUwpqIUfAdGYWCiCVn5EEVS0 sIta+IFiio3JYuIWwoJE4mqEoIJa2+ifETw/zhQ3dzJvZu45Z2Z2+PTFwxf6 U0rndWo6Xf3ZXk9pui+lbw3Z8rV1L8r/Rf4F3eMDKQ3K7ujb2aGUJnV26P9n g/52aMCxm3X3FP9Zp9Pnmk/j+5xy35Wuc1X3uu7vdceeU70zURMs64HnRU5p TPdr3WvyXQo8i6q3oPOg5nrYYOOd8bBHhK2p81P2UHbdf1VKH5QzXDfvm/Iv y/4r/1ph35PK7zyvObcdmuxW7BWd2/K/UuzWTea2v3Q8b4FtpbB2p4Ij/OBy oHTuS33/XRnfSmnN3tet2/3KXI6WvuEGx5bs2Zrt1T5zoCY8dgYX8on5BHdh Hm34G30Aw1jkdSN3dNAY4NgMG9zwgddM5RrUojedbE06hfOpuyWZcy/epZ+7 gjNao/kf5d/Kxva2MP7pyEX7N9HHqSHPATMAr5HAf0J4lhVzsrQfDv3K31cY J324UXm+LmdzgcdCzG8vbPz0Cb6rZXDJ7j04ZrJ7TK+XGtZ+OfR/FPP3GB7Z dR9WziGmo3p3s/t4J5s/OqA5uzIVvMBCDFrMZcfkbF3wtWTfy9ZyT7b+aIIO x2PODhb2URNd0Ald0GSjcs0iO2Y0erc3alI7x7sbsQv0g1xmbH7AcfPBBU5H SvvbhXfrR8zlNuneVP2u/BMN2+Bkf5ixr4UxTgbOj7EXvypjAjfvzsZ88y47 Qwyx1KMuuROhAzb3RLxF//kNYu+Zo1bMEvvJrrFzS4V/L47Jvl4a/zXd/wFZ WqXR "]], Polygon[CompressedData[" 1:eJwlkc0rRGEUxg9z79y5772srCfKyscoe7bKUj4W2CiWpFj5Tiks7IbUsDJp xgwZN6nZjFKGhAVL2fk3/E5n8dRzznnO855z3q65pbHFVhHpBh7IxSJnaZGC LzIUihwRP1OopkQaxKfEncT9GZGONpF6aLyGfiYSWQNp6p/EG/AE1DzL3cF/ 6J8PRLK89U5fnxOp4P1E3Atfj6x3FAzjfUFusIX56C/C78FCYB7qFTqrfYAC fCu22Yv4bcIv8TjEPw92nHmqt+6ou/4xQ7tvO+apl5xpH4jL8Ff0b/AsCJy9 oW9pTmt7zrTqoV4JuXP6l8lNs8sUqPo2g87yAuopu6Hecjay2+lOuluPs1uU yU1Qu0F/5dsNt6l9xfYXOeb/hl+Hpi2BcfT75BL6K8QH8BVnt9ilZ9WZRrXq qd6/GdtNZ2oSNyLzHgCP8BN6mp79kf7VZGTeutMt+pHQdlXNMfV/UHdSig== "]]}]}, { EdgeForm[], RGBColor[ 0.5619937992242645, 0.524388659387082, 0.9069305874744055], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxFlU2IlWUUxx+9974zz/tenbFsFY40AzlWltOuZBL1gkKuQjeWG203eUco tZkaHVxFbrMRKUXMDxC/aCbBGYNoNSOkIGEh+LVQcpnYSrD/r/+RFi/Pec5z Pv/n431l2/AH7fkppbP6avpudaS0pEhpYyOlWdF79fXr4Yp40+ItF93qTGmd vjG9zeaU5s1L6a7uo4Xlnsugy9uuMqUz9ZQ+0/mj5GdEb6n8vi9k8IG9V2vm 8Xal5vteyS9UbLdF99UtOyA7BxRP14KUxmX3oHgXxPtU9DPR52R/VcP0hHSP 6e073VviX1Nsf8nO7WZKJ+XnffHvC4Sd4h2R/CPRu8Xfo+8n6d6UzQfirZWN 86LvS+6CzndKxzaUHTuY/Cz9hUGT13r5OyUb401jcFS+Rmp+b4UMubYCzyHJ vK336fmO63rERi7XIh9sHAk7o5X5IzqHpXso4t9euV4f6zzecD7kgl/iI85F Oj9pmCYHcnlJ8ocVa7fe5sQbzPb/ZtO+8QueS1Xn1Z22id541GjxAuti41Jp nLfKZqPpnLqzc7wbeT4MzH9Pjv9y5EAtVhZ+o0b7a8YR7O/pWyH6pOzfFH1C 5426afrj18q6vym+bwpj927DtvAHPgOFafzCnwn669I0ffqkdA02yN46cBG9 RufrpWN9I2R/eW4n6kNdkN0f9IB02jq/zc6Z+MGiV/HdqXtetpeWmcjGGszf y8aiXXf/rc6ey7eanrWhsIMfegtff8pmXTJ/lP/jSL43AhtmCL3RmNOx6AXm rL80xmsr2yQH7psrx/Ca3pcVtoltatUOmv6iz5jD70vPbta5qTLvvGK/ms3n faJ0XOtjjqkTNfq7cC74n5Ruj+5TlfsIrE7HbIPz59HjiyKHlmwOMhPZskOB bVenewhMuzrc/8wdWLLrqDF5EOeDwB3ZLyu/M4PI4GuqwzaxMRV+X67sdyR7 JpiNJZHPqpgX5h8swZg+eVyYv1G6P+h+JjvuwbDHLiMe8OvKrjMzRG0PRZz4 Zn6pHX5vxYxzPi1Ms8N6giampZEPu30uduziynZe1PlPaVzoNfbSbMjQO7Px LyDv6dgbByX3UDZ3NT0P/+2g0rpjId8d8Q+z85uu8b6m34idvTEVdQHbvk7X iVpzdgdN7/aHfE/kQl73YpewE8CHHgUj9jt9cynmmB6gBjsr65wr3XvU6atk v72xHz+q7HNGse/IjvMF8T7Ud5E+yPbfE3hOZu+RydLYUwNwBJsDYZ99gy59 Tyz0JX0+VtnGF5X/UYdjtxMH8SwPHPoitrmoCzVh5ugf+gG/3MEEPeRPx05p xx7if0k8K2Muj4cu8dJD9EhHzO/VmKPesPMv9MoN9A== "]], Polygon[CompressedData[" 1:eJwlk0tI1VEQxkf938f/nMIyo10UQUIhabsIF+ktA10FbXpstF12r1BW9vBK K6lt0hN72IuErLiXIHURtclFBi2sVSak1LKoVVS/j1kMfHPmmzkzc76zsae0 r1hrZgUswU5Hs391ZnMZszPgddhMFowlK8xm82ZNwsQ/gbdx1g3uwn4Fs2v4 9Tmzmhqzt6lZhbMx6rWQ85paZ7H3cNfjV8Ab4F8GX+KsFf4T+F9oZBGbBFej c09Rs4x/F85P/DH4e4ht4awI9yU2Aj7M2TfwI+48BD6ATSfeQ4Xcx9ifrPf8 G/4s/qqc96ze90af5SG76AQ3w+lPfGbNPp16beU0rjTrwx8mPoTtgFsg5yb5 g3CuE7tBzdVwpzjrjX6mmHZ8HP5g9F3vxLYT68Ifz3iP6nUSG63zGfcT+xh8 90s82jx4l2pm/M47cJs4Owr3s/ZHv3/1Zty/CT8QG8BfpvYI8/XgL+GXic9w Rw6/A2sm1oZfAI9T8xa1J8gfwN/NfReI1VO7gfkb8Dfj98FpjH6m2CL9tZFb pv6PrOcod230XSnnWOpvqrc9iX2FeyL4XcoZwl/Iu5bUo3qtkvOMu5bhVOGm wXvXjJp1TfRetHPtvj36W2pHHeBO8r/Xeo2D0XekXUkzc3nXuLQ+Bac+9Z7U m95gmLtaomtVOxwl/gJ7lbjGLgbfqXZbhN8bXKPSqnaoXb7L+1+QpqQtaVba LWFbg8+k2VrhvIn+Znq7eewB+Eh0LelP6m9eDZ6rma6An1N/IXENSAul6LPo T/VH15i0pj+nvzeBfy/jmpP2ngb/e9KAtHA/+N0fsNvg9tS1p5xu+Oeiv7X+ 9HnwfxD4lC4= "]]}]}, { EdgeForm[], RGBColor[ 0.6342836670123848, 0.640779548914163, 0.9111050761230709], GraphicsGroup[{ Polygon[CompressedData[" 1:eJw1ll2IlWUQxx86e3bP+z7Hol1Daw0yExMU+0C30gQ/okBLCSuom1IxK1eD 3FWziEhrtd0uSrHU3F2oCy1KUDSyLkJTMRA2I12jKHa1roogvdGF/r/+08XD M2femXnm4z8zZ/zSNY+uvialdEmnotNXTam3MaUhMSuiF+kcFn9ekdLv4j2S U1qYzZ8r3vmmlK6X/P36/Xfp+27x1+hu1blZutfq95fSbZdee0NK3RXbR++0 ZGbpfC7dIfE/0z1J9wuhe770u4O675Kdc6I3yM6WWkozdIYlN078Y+IfqKf0 vfw5ozNFujt1X6n6W1vN3+Cfka1fxLtHei3SeVt+jNZdyrcjOh/o/XmSeUv0 ft1XpLejyTFMkb2pOs8n5wffjov+qzT/Ntns1v2HbG5I9u9Y5AJ/1+lM1zme /dYW6W2XTrvevCPb5sdht1/818WfI/4qye6q+vfj8vWk7D+he6TR8tSor9H1 I7d7C+f5gOzfGXm7RfLTyZ1kO0WPirpURPfKfo90l0vncsUx4P+fsrlN9PvJ b0OTO+7tQQ/WnINTujsjxnERRyV8I7cXGyy3v2qaPL8k//aJ3ilfTooekL0T uturxsAEyczMfmt34TxSC7CBv93hc7P87GiyLXJJPPCpYSeYFP2d/Lpdcl9n YwFMDERtqTG4+0a8mmQ+yo5jRsTSI5/69P2QfDhbOq5zujtqxuJw1JfagrFB 2bip5hy21kzDI7fQxNmjNy5I7x3dZ8VLon8oHT/fJxf2D5v0xv9vYB+fyQX1 A79gD2w+J52NinmlbO6qO08t5C96lF7j/dbwoUl3f5Px8WlhPG2uu3dGdGZX HF9H5GEw+pF5AG9jo/kf6o0R3Xuy/W0LP883+q3BwOY/ujdV7AfvgsWlpevV oXcfzJZ7KNs2bxDndTFTGuruG2oBfsbXHdutuufIzkzx1tNPhTF0g+w8Jv4S 8d8Ur6vBMuBhRtQO/y+V7p9pstOie3bNmGe+QTOrDhbG7pOyuU90j2wsyI6D eMgh8vQMuvDJL3h8Te/+XDGev5DuUf1+t7RtdJBvC/wMhA341Gyx5BZLb1Ph PgHj87PjQJZYqFMH9WVWZ8+Kudm5QG6s6KtVz8MFyf3SEn5OYyaI/15h//Bz VDLW/8O83l+Rzf+1ME7HRh1fKT1n9gYehmPWLVUen5LoktJ+nWi0b8wg8sQs XyD6K/EX1j03jleN83UxR8gFc4+5w5yhL/c0uIeOZs+Qg6VnHD4cyvYJHeTB aRkzB8yjRz/2B3Z+TN5j1JEZtbX0t8OFZ0ZHzI1D0fvfyv7l0vLUHxt9YefF bP/XZM9T+pK9R46bY8+x+3ojbxer7n12A3qdgUN6hZ4ZiBm7NrDBbGuOerWG Hm/wvSNkfitcI2p1Kmby1NI1p59nRT/+FPZX1k13F+bTo+w15K/G3sRHfKWX x2T34PJs3BIbfcG+vRAy9MHp6AX0hoMPZvGVWoJp9JBlxuDbsfg/0BK5Go53 iXMk/AG3vM9cIAf1uvXY/0Mx66nX/Njd7HAwUsau6Y0ZRP7pTfqS+YNf22K3 TsyeFZsL+0Vfkbfx2T34Rux3sMR+6araDvSO2CHM3BTvgMMbs+fOA/LnXp2J YLRwD4EJ5EZn77vm7J4eihkFBmcHPTZ6fl3h/YXczPCB/iWWCdl9R/8xL/AZ 31vjPxI5Y/cju6J0P22NHfpydu7XZ8fUFTb53hUy/O8gFnyid5lrxLwsO252 zrKY58x1sLk29jLzd0nk+GDdNd0d+6Izdtzq7Jqvyv4f0x29yd5YFblalP3f 4uHsOuyJXc9uPxL1Zge+2uA51ht5xl5b6W/sycPxf3Ry6b7ZGPLPZsd1X+n+ oY9O1zzr6f1PCseMzISYvV2BPfYTGB0T9ZwUM78n/vMSy8Tg8dYzUYOndf8L PTp9mw== "]], Polygon[CompressedData[" 1:eJwllFtoz2EYx1/77/f3//3e/5oM0bgYEyvH5DinMVHDloaihMnW5j9Kc9gI F3KYucBImClu0KwsK4cLYSa1coixiJbDFSl2w8rn23Px1PN9v8/hfZ/Dm7N5 +6rqNOfcBiQdqQ2d2xU4dwRQGDl3Bnwc3ATeBJ6DHEC/H3euKOlcG/gruBWb Nmwrkf3gOmQmXB74BQl6sK/Afqp37gS2Dcg5uDngM+g/4C+AZyEfsW/kLF+2 ofm+R8rxPw0+BncUmSSeHG+4d3OMmOgLkVcDnXuJDMhwbg82XdgOxr8FfRgy Dtu/8An4k+AvgfnI9yA5fmPbzNlSuJHIfOz74SPsp4BT4IEJ5zLBT7zlvsd7 O7y9QW+Zh/8v4m3j7HFgORrQDxO/H76dO9fBb0WOOXvTZPgKb7X7QMzPxCoA H0K/AL/Y25v1dvVEvTmLfI9bTVXbT6H5qkfl4CXEP4reic0acs/gbG5gOaej 58Gn4IfDd/KmXM4mwK+HH4O+PGm9Vs1Uu9LIuFLwavRuJIZ9B2fv8D8FfpRu PVFvXiMusJ6+Qs8mRk1gM6ZZ0wxoFi7jUwY/GL4KnJLATQutlo3cIYe7FMJf T7eaXIHbjeTH7I0j4AJs6rDdjk8m3AKkl9wN2PQRf6i32GPAVXBbvNmO4ppl 6GuTViv1XL1vQvrhi+CL8R8CXx+3GqlWD5Dx4Ij8PfCT4ZvjllO513nbjfPE uw2+Ck7A94GfYT86aW9TT9SbmqTVQjPWGNrMa/YryV8fmo98tVOd6K2R7Wov Z7ciu4Pu8g3+PfrF0HZJO6Zd005oN1SzAvGc/QvsjZfQl3mbfb3hD/xt8j9O M5s29I2R/QV6w8OEzYxmRz1+m7Cd0m7dxScjtJ3T7qlnO/HtStis6M945K2m qm0J9ylBv6OdjtlMtnvbOe2e7pBNvPHaqXTbUe2qdki7JJ996CvwuRbYjt3U XxHZbqpHz8m9F747zf6EWvRB2IwMbGY0Oyu91U4xitGzvM2GZnKIt5nR7IxF ZhN7Ebg4sB14K+xtV3VH3TXlrRb6A6o1a0hHYDmVW3+I/hLdaSo4F5kY2Ixl JW1mNDtXkOPEa4ms14qxg1g3Qptt3WG5txnRrCjGT2z3gp/Gbee0e/8BGbvE Ww== "]]}]}, { EdgeForm[], RGBColor[ 0.7060897867047898, 0.7561520029945361, 0.9127420344861863], GraphicsGroup[{ Polygon[CompressedData[" 1:eJw1mHuwVmUVxjfnu+9346AlMwgkBw7NIDMwcSiLS1hWzpjKTbv6h4ZcROV2 MCY4TJlC5QEEj3OUS07gdUrDLpOAImCBGKc0LNGgDJgmDPNWycUGe37nWfyx 513fu9e73nV91tpf8zfmTpnTlGXZz3plWUnruY0sm1fJsneLLDtPzz69HKK9 D4nuFt0iur2eZcNrWXZcB5L2f639C7R/Sk+tnGVbkmW0V7NsoNZFem4X3aL1 A/H0Ec9z4pmj39/Sfj+tFT2P6DkmWZv13KL9PtKnl+Rv1e9C5/6rMzul53u6 f07VPM/q9zStN+iZLvpJ8QwS/Sut/5OOa2vWb5/OPCd5P8h1h+4fVfVv7u4S zwDRe5L3d2vtDLnIbNK6XjxfE0+T5Gyo2Re96t7HR5+WnE2i7xTP38vW4dHM +iJHSzai4rPXZtYdG86RD+cGjS1nqvbDFvGcqPv9yw3Ln6BnrfYPa/9t3fkP +eZzDftssnT+hJ414hms/Zdk5wfS449a3819drR4+4bfrygcm4/oGSGZY7V/ qehPimdi4f3zGpZxadxLjPHlwuR4TQo9Xw374Tmp9fmKY31CZ1u13qT9WYXp YZLxtvQZKXpowzIe1nOX7JyYTF+l9SK92y+5F4kekJxDXy7sw5Ehk7zE91u0 /xnJXKb7evXOsg75Z1zduiwKXcZmjtmIOHu65riTW7wnT+D5ZeHc/oXW1yT/ kPT6CXUgnu6KY7comT6u91NLfsf+aa2nwv7fVbx/md7v0Lqz4hxriff4sU06 7hZ9RDxHWfU8G7qQu+NKzi/ybLLoOcn8t2j9dsW52FOTcQfyD2ttpT4zr6OC 3imep/XuQtH9JXOQ9r/a5HxEDnaQv3XR80rOI2him4L//cxrc5wtaqZ5//ua 78KWhXXffYFk7KpYt+aS348OfV6omeZcv7CbWDylOO7Quk3r3rpraFhuXdAP fRYVrrNZkddvVZ17axSPafipcI4cqjrW8/T7qOi5WteLZ7F4xsiHjzWcd1cm 24Id1Du1D4290wrH9iu66zuS+ZLkXKHf7aJfrBoTiMX+qn34pcJ59Hnxtysf W2rOoQeoN9EHG/Y3Z+DHf9yNP79YOIZjdPZfyZj2ntbZ4n2q6jjj//6hGzgJ DW6wDgiadWDQzYV91qp7v6lnjGRM0d6Dhe9s0t7jhfV8TGuT7uqnu0rS/WTZ NbxYd90R9Yw/f14xhq6TrN1N9sd4PfcVtqVL659kw2t696nAEGhieSg3XoFb S+ruC0MrthWc3Bm2YNv7UafYj+0bJedmrdP11Hsbx8Cz0SXnDDg2IbeN2HpX vFsgem/JNdDay3EhJuTkTOmwSs+Muun7AltXxj40Z1cGvamwfx/SOjjwhz75 XdFXie/C5FolP8iNrqpzFHy8Prf+94h3q86U9G6j+JdWzP8F6q7s3z107l5J zySX7wjsog6QR1yvzH0v978j3jciJsQK/CR2tyZjTpvW3+aBqw3nOLlOzm8v +y5ienfZMtEh720MBYNXVF1XYCi+WRl+A6PokfsCT3gPLk0IXcgNfNY/8hx8 awkMJP8HBYZ0BRaAA5vLniWWScZNyfhwo9YFdc8MYMvtuXmYO3bEPeQAeYRd 9Fx6JHG7vOGeRe7R97cFzpyv/Z259RzYcF8m96id5WXn0sdKnmXoifTMZ8qu AXz10WR8ACduqxgjwPyxdc9JzEg/Ev/qivMWrOqKXkmfogaGxnwEjV8uTsY3 cA4sXlXxb/KG/BmRLHtpnEX2qpAP7n4/sHdB0PQEapB7qcNzA1OaCs8alejj BwJvwd19kSfkS1ecR2dwgfkGvlQ2DuDPTRXvE6/DgefEck6s4BozHLGdrfv/ EjgAHrREP/tw4blxYPSpDvF/nRotbEdr2EJ/bg/b7ynb7/h8XPgE36PzvWHv fHwRM0C/ZHpRwzVCTWEnvu+ImWFG5DZYwb0Lwp/MF20V5wO9eX7IpOaIOzjY L2Yk5uLuhjHnWOFz8+MsfXhe2LgqcIccJa+5C3/RK9uin6ITtl1OjGq2j7xa GnPO0Oj5C6Pf83588I+L39Cv1LyPjCfKjhnxGp/sq/sbni/awt62kAl9TmAl M/nMqPs+Ib8jdOgse+4hFjOTZ56/SeZ/ZP+TuvPfhfF1Zsy1e3P3mOe1/llP VfwHc/uW2sNXjzc8Ey/X2f11Y9yu3P0AHG+OfkBdgHVbxf8b7XeK5/zCmNVX 65TkXJ+k9cf6vVg8s2JeWCf6xsw9tqdna+9inR+sdbZ4Xqm7L76svb69rTuz +YrcWHC31iW5fbqscG9BfhFzPvz4akf0MXQenVyzo5J7MLh4b+Ga2h44fLjh +WmWeB4o+S72mZmOBC7xrQUGbgXjk892SJePx7cA3wTDqt7vqdcmr9Ts1MJ+ /qz4V4Yt2HRDbsx6OPmeZREL9MY27MK+g0GfCIwjDm/G3ML8Qg3tjZ67MPKZ /GRGR+YluWuDGjlSt7+bQ+byZPl/jRmbOievmLOg2TsQ36D0KfoOe2Axfp0X efGHqvvZ5JjT4bks6vWNoKkLZJ3t36y36d6rpcgenb+msI3TI8f4jgGX6MU7 os/Re17PPW+sTq71cRGjIYXngJb4roKHPvXP3Gc7k2cyes2tuvet3PLBP+aC yWHj2vgmAHPQi9id/UaAh3mDc/RedGPOZUYAt6dHTIktsy/vNjSMrZxZIXp4 Mh4OS+7FzF7k67W5a+TOhufwNeHfa3LH4mqtU3PX/xStk3LPMRNzf+czV+xN 7lvUaWfD8z95jM2DUsQotx3Q2Hs85iFoYtUZOUAtlmKm7Aod6S9gWc//D5mx sT2wj/wjx8Bbap7c/ans7t/wbMOMszJy/eZkjCQnwMw+0SvpmXyf8Z3G9wsx I3ZPS+fvRa6Ss5x7Nc6ujvmTOfSS+D5dFfLHBg5Tz/jnQOZvYb5H0P9Y1Cvv +a6kByCT2ZzZqBS4CX4+KJlDooe2RP4iG79Vo79T7+h+OPR/sWZ7hsc349Ho 2T9M9vuG5G/Z03Ev8S9XjZO76q6D63Lbeip4mAFLMQeC02eixthrirPl4IEG 07AP2x9KrrHu3P2RfkGPXBI9mbmIOJyOb/YFMQvQK8kl7Bke/z+gM/Nu74bn D74V+NZ8IXhGBw6dzT9W6rQjYrxC67qwf73W6wrjyPWFawBfzC8cqydi5jmZ /D/OqeT9ZRHH7rrx9xntv171Nwy10x79gr6xLTmmi3N/0zLrtSbHeHPI58zG wNh3ctcv37L8NwNNjU+Murs/eRYrxVm+FziPXGadE4Fj1E8pZjlqGv3gOxO9 nNjtafj7YF3MyOwx5xyMfr09+R08b8rWkcl6ztDe/wGdsZJs "]], Polygon[CompressedData[" 1:eJwtlntMlmUYxh8++Pi+931enR20MGyCUiO33IQmqcnK9Y95ANQOyz/U0tTs MzW1GK0MYSvFxBqipstTWmm1bAp5QguEQcuwPKRp2to0m6cO6Nas37W7P+7t vp7rvp/jfXhypswuS8Wcc6uQDGRk4NwVBuqTzt3Rzbkx3rkP4s6VICPgCsBv YbcMXIi+PHTuGLgHzrXo7yBfZ9iYuEp8Dmc6V4F9DvZLkXPohxPODYe/Ff5u cAU2mZFzeeCB4KXgnuBWb3PvRdrQH8GnGr0Ffjz8G+AG1kowVom+BylOd24/ Z9iN3uiN+xT5Er2IsQr03fiPxH8x673KerWMlcCNR95F74SfAr8Qfi78HORO /F8Gz0Ovwubh0O5Id9WdNXuhT2NsPdwF/BfgX6Y7Ad/EpwG7ufgXptuZx8Lf jryG3sF+b0PvDt8b/Ar+6eBq8KK47WkCcxWCi8F18P3gi8AjwP/CHwntjfRW ceQEOBuch16JfYT9o4wNdXamLM7zhM4Yt7HH0UvhVzDXd9hPApeHdndZ4Db2 f5r5TrL/csY+gi8An2Dv5YxdxXZJaG+Vj30H9mtY44b2wnuPgusZ2NvoDi6A 3wvMV2cYqvgAPw0uAE9n/hngHHAuMhj7/MC4LtY4BB6FTQqczf4fQ+8f2F1q jsvwfcDNMYuJ38D3sUYneDE+A9BLkC3oN9nvdmyrkCPorzOWB7fP21k8653G /xJnmprm3LOMXYKbpXhm7mbsU+jNyCC489jvxP5N5JCzsRa4o4HFSgrcBZ4c 2V2X6oze3khvpTe5C9tekeXC/eB74Wcijez/IPh59Dr4KGF7asH+QeQM/Er4 h+DXBabXIcPAKfAe9CbW60C/wdhs5j+I/xr2+jNjTfD7kWlwO8Gfo+/jPDXw pYydj9mdlaEv85YLuoMa9L+93U0T8/2FXo//cmzfx2Yq/uu85dpF7Neqtnjj usCbvdUA1YIX8bklsBxQLuiNu4GrI3sr5bxyfx4+bXGLsdXoDfDt7C8dm8bI ck65d1U5je7J0bSk2eQyXwx8nPsbw/qjmW86cxyIW8wp9hz8t/BDwMXwAfgf 8Ff4Z8F/ElkunII/A96AfwZrr2ZsIvab4bOxfwr7TehVyGdwb2O/Dfv+keXy cNYs8pZjyrUY+Dh6PnNsZRt9Gdul9/Cm/8ocO+CeRCbCd2C/EG5IaLmgN3wO fDEwrh1ZAH7J2951Z/PRf4f/Jm41ahy+EyKrrcPYX2/4F7zFtmqSatOK0GJh I3wDuAY5lWk1+wrch7qDuJ2xIrSYVexqj/d4q/mq/bpT3a1qgmqD3kBvke8t NzWn5v6D/exKWMwqdq9FFhsa+xN9BzIgYTVOte5c0mK7FekM7Aw6i95Mb/d9 aLVSd3oM20HeepliVLGqnFXuKuYV+8oZ5c5l9rMWvFcxGrecbk9aD1EvmclY D+UX+BnW+0UxHFkPUS9Rje8HnwuujVvNzEGPRearnE5DX+8tdhVDiqWjocWC cvoH9ElIOWvPYo3J6i2B6eo5A731HPUerfGAtzvQXainn2W/mxi7nmFzHEha DVItUg247q0GqBb04b42RlbzVPuU8z+hr4wsllVz6tFPBmarGN8Anh9YrqhH j4ss5hR7ijHFmv4A+guo56r3Lgos99Rz+nqruaq96nnqfarxqvXac2toPU29 TW/wI/o21fyE9XT1dtUs1S7l8NnAckS5ophUbKrGqtam/V8LZnirpfqTLEHv CK0WqUe0o4/2lqv6A41VbQitlqinNKl/eatlisEvIsth5bL+SIO9/Rn0d9Cf QX+HjyOrFdrz9shiSrGlnn6N+eZEVjsUQ7Vw/wGXNUqZ "]]}]}, { EdgeForm[], RGBColor[ 0.776339921990172, 0.8515695601965603, 0.9078894152334153], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXuUllUVxj/mu703FCqFbKkwpCJojDIYsNTMLl5wQFG8NdhlhaUo4zWB MePuBUXItYR0WcFIKiZpJUpelloKyJiCzKiYoNbyQoguDEFctnp+PZulf7zf 2e9+99nnnH325Tnn6/+jtrGTGkql0lD9lNVu0c/NlVLpO2rHF6XSc7VSqVVt S7VUGq1npWSOU/tNPbeJ/jArlY4X/fW0VOqh9tvB/6v6/U3PSNGnF6avlMz2 qr/BHyP+k6IvE/+Mwrzjpa8umdNirE8r1n+r6DPUjtPzsui1hedznPo+XbPO Js15VsXv0E8VnudRkjkm99xGiJ6hdoNkxkkmVbtbfdql80XZ4GPRF4n+b8Vj Ly35+8chc3XZ62SN361LZ928B/X9RNHzRJ/L3PT9TK3lCsk2Vr22GxKNr2eH 3udXbNuWsvu0xHpfQEbtn9VOS/39e9J3nWSf1zNG74v03lNjLVT7Az3nSP40 jbWkbBthn1uq3qe5ojc2mGbOd0hnu+SOlj3OV98jxR+Yen3NVa99R8X8n4pu l8x7GvdXktm7Zvol6btA/CMkc4j4kwuPc7Hm0F323Fao3ajvr+jZT98WSO5f 6nupZKdI7gZ9v0u8vfT+rPT1T23L/jXbc1jqNfTqKd/SXH8penhuO2GvZdKZ VO0rq0Xn6vemnskly27BryR3jehBVduIdnCsa3phHT/PPP6g4DMn5jZL328S 3Sr6UI17n+j5ok/NvQ7GOlfvcyW3Rv3mSc9YvQ+UnvF6b6raPthzZtXv8PHf Bq1zqWSfazAfmS3qf7Do/TXOTYVlblT7QcX8YyVTqtg27CN2wl6s4VS1o/Us KDu+Pqzah/oSa3reEH9n1X53kvgTc/MvVPuE/Owq8b6v8SeHb+Kv3dL3UcjD o/8qPUvUZ7v0LVb7TtXx+6jWcbLm+hXJDs9sF/YDvR9FX/Q8LP0tasdKZpLW OUhyH6rfbbnzzuVqL1K/v4vu1HN2btti452inxevW/2+FeskppqCZr2F+vaM cRtjvsjig//Q00/01/Rsqnqu/YLGPx8oLNsefr5XzTmHdRShs1fN3+BPl32e 7FEq9RZ9b+5xl+XOVb1C5sKwAz55VN164O0Veoij4/R+WN12man9PbTuOfL0 wXfFXyK5cXWPtT5siC2fkvzpdcc9e1+PHHKP1tJf/NdSxyD0Afq+tOJ5MAfs 0Vi3DW6oOS6IAeaDz+FvQ2v2K/agK/wEf2F/yRHEy3l6P1MyfcR7QvPcKv6Q knnMebF426T3vdD5suTvUbtGbZo4VonTLfp+YKz3cGxQdw6di76657WiMP+d 1LzDg39WYhp56IGJbbqSHKX2YbV3FbbBT1KvFT5+fJDaAfXPfAEa35igtfet 2w/Zh74xtx3hV/jX6MJz/lLqdfereu3vZqb3Sa1zc/hYY+p8lCunHZw6LxSi 056uE/vJf07QuG+FLYnHGXofoG9rM9ehzsxx8FDZ/rcuc61ar3ah2vfLzkNv q89jDZ5PV9l5ebfoyTWvhTU9knlfHlU7LMZEnnjBVnnJ+0KMEV/ULOoR2OBq zX+e3s+TDU6Vzl1l18/x0ZLTWioee3fgAeIUXdgDu+Djp2ee81b2NPweO5Oz moIeJTucrGdR3fYeEvx1muBDGivFzrnHHSy6rjkNlsz96rOk8BxeFX9dYvu+ nNtHyNXY6pLC+XxSYX307Vfyms4vu+7PUp9XJT9b7c7UtX9N4TpKPf116pr3 YKx3W2b9W9V25LbLPMnM0biz9bQm3nt8YKC+3y65TnCG6PmZY/uWzPXnubAn 82JPmdtrmevfpszjU+OpC9PqXgMy+Bn+1kjdLGy3SzWHc8quecTvfYV9/l61 5cTYaFzkX/LwEPlYZ+Rqcjb1mLo8QjrbEssh8x/1X0FMqV0vubJ4byb2uxVh kzcS8/mOb5xSsR+jZ1Ji232aup6tl54Jhed6PZhN472kcafn9k/ilZgiV5ED yIkzMuOwOYGXxsQ6H1GfRPzdEaf4ObnoD7lr6g6wq/puED1NvMvV/y31v6Jw bsIHwDdD9X6n+M1qG2uuwWARsCrYgNzLOAuCJneSQ3n/cuoYJ9bnB+ZDhhxJ fidP3kmOAhvEnmyKdRLnHQ3O/+QG1sv8+0QMka+W6/t9oQcaneB6bDyq4v4d we8dOAQMAla8s+waAt1c85x5x97dkQt+W3fdomZ11I0n8TlwVkfFdgJftwc+ OTi3Lx2SW/6ysOHS3Jj7d2qvlU26RP9Y690efgw+3ZDbz7+YOubJZWCMxqjn 1P3NqXP38sI1aHxiW5YK16JXCmNh1rEmasphUS/AtvgV/k8NODdo6iK1+lo9 w8DDFdu0SboWa55HFH5fHrYF3xHXxCbYuTXovoX5j4GnAtN8lNv2y2OP8PVl DY6LCVp7m94Xpfa1tsg5yC+LsZZoLp+EL04se67XBubJA1fgs9T4ibFfE0MG PLg9bMe5hzpBjH8Q+QWcu3fETC+1d9T9HbzKPlAbqAs9CtePhsiXeWDg3hGn 16W28diIR/SAb8lfG+rGeNSOcVGj0E98Eqd78Dnv0Jx1qDd866q7P7VnStU8 9HQnrj2bZdvXAuMR0ssKY5tNYHkxXhf/+tx6wLVg0ZGJ308KjAqfejYzcgi5 5JTMZ+Hb1XeK5KcmrsXIdcV8WiOfk3PXFY755+PcSW4hFoiPtti7SZn38YPU 51fyBXlgVmb6UY31TNSSWwvnCuZDviBHXpzYJz7Vt9Uaq5x5n9l3fIDz5fDE 68LO7DW2JgbBW8QhmAua+GW/qIXIXJVb/uyoXfBHxz5SG9AHrlsdeO/YzOft G9XvZ5nXe39uu7Bf7BHnK84oqwrnA/TgDyNjnshRZ/Fv7LO68LnmmcL+hF9R B1piLxp6OhaxHWfB1swxzLkEXLc9YpmaR+37YeEac0rkQMb4JHIRPOoQMTgq 6tH/MVLiszpYb0TQA8K/XtnjYw3ug3xH0MQrWKMl6to/C4/1dGJssiviGlu/ HzECjiaGwNbUVGrrlMJ3DJz1wMr4yiehj5xCbgFTcGZHLzrxzSlh0z6Zc9c1 ufEBOOFx9ij3uP/mjFlz/iI+F9bsr+T09YEnH8hdJ9+KWrModx5ZmBs/vhEY jLw7J/DMRVnkn8z5p5bYN8fH995R78YHjS+dl3zGg8avOENS035fGM+0RnzN iTyPDL55VvjnMZnPTkdnzquTIkYuDlwBPtnzTi4t9bTf4r9gIvpSR6kRZ8XZ YWbdmBPcM0xyuPfywOP4B7XohMy4+CHiLfNZ5URiIvrTF3/Fb8klozLnDrAz +aYrcs6zVe8dPsZ822LO+N3k4LOvIyOu2ZO5gXsWxTzBe+gbGTE1PPyBnDs1 7p0GVD/zafSQCzoi7tAxKtaL7+LT4A5sPy3OnqwJul/gzOnBnxE02O43YSts Bm9GnJM5s3RGXDDWzM/pmRl9d2m/Hxe9s/BcVoQN96yHtSA7K+QXB2brEf4O TW3tKDwWmBpsA5YGB5DzyIMbo+bMj3tOYndZYKPOwKP4EeOPinMH/j4rzkLE DDmR+oUM38En4JRFsS7yHDLkugWB58H15PW1FeunZTxo7o/AKS8UjhviB6wF 5oKmjhOfzJ/cNTvijliYHvuCTdbE+Xqq9P1FsTpA/VfmxqDgOu7KWAPnOuJ3 eNytfZVzUua8050ZZ4P/7hb/6cx56hm1u+IehvuYbbnPydsS42HGYmzOzWCe zljjhKC5H20MzNw7tc1qhXMKueWPovuJngrOT32fwbyZM+fUrZ+7l2iOtXBm BlePK6wLnV9IjRPQA5Zor/qdvR4TGAI+WK45fKZZem4Wf6jaX+TGf3213v1z 5xjudE/KXcu4O2RMcgF54InM55AnM5/3qJ0H5MaEswMXcka4O84J+yon3Mje xfmM+xewD2dB8nJT4Gbq5b6FMQHYgHMM5w+wO9h2cG79g3JjtGtqztkHFvad JtnhG1GjyXnUA9a7r3i9cudY7u1uiRqAf+1T2GcPUt8BhWOlWXRnYnvP5Z4z 91pOy43fmTex0BW4Hfx+mZ7V4r+d+i6bPEm+5L6qOc4XIwJT7clV5EFinPuV 1YFX5+aOvQty36m8G3csV+aWvyJ3jsGe5BnuSrlvwk+4dwTbrYo7mNfjHgac DR47Mvce0Pfk1GcvzqvU8CGpbYgtL4m7Cc7Q1P+NcSZ6NWh0cm+3Oc5jfOsO nEB+xa/agkdMZYGryRfkioczx+PKzHeqb8caqf/9I6bgvRPnIO41uAt4MXee 64qcfX+cZznXpoX9ISlcf9rD/1cl/k9jssZaH/cn3KO8G/oZ90+J/ak7d6wy B/x+SeQQ8tQafI4YVLs291ny2dx7Oyxikzsd8Aa4Ax2NsZb/AQxaVH8= "]], Polygon[CompressedData[" 1:eJwll3eMVVUQxi/7eLt7371UpaihCwIbpO1CMBIViQIGpAcUxAICglSpaxRh KdLRRIqJhqb0BA0IiIQisCwgdRekCiE0pQSkGtTfl++PyZuZb86cuefMmZlX 7d3BHQelBUFQABWHasZBMDc9CL5MBkFOyG8UBNfha0FXU0FwC3x9RhBsZlEZ 8J8yg6AZ626Dz8N2GzY3cdQW3WGwLegywfKR9yE/yZoayOPZI8LXR+AFSeuE LUVXGf+FiSBYBD8f/C7YTHy+hu9cbF4Gy0c3DGwXujtgo/BfiP/h6K4m7HME /GV85OGvLrp9rF2DDUuCY4oBvFyJIJiIrgJ4gG07wNn4O0B8vZBnY3MF26rQ FbAYHxXhR4MXA09Dt5CzOMqahfDfYR+C5eKuN/Lj2FfR2YFvQO4LLYK/z37b 2fcGeBPiW4puINgPsc9S37gWvhW6aWAXkddh/wD7VtivQzcBrFzo2P5C3oR8 O/a36o7+hv8PvBP8dvA54EXIB8C3FQuCe/ibSLwndfbE2wR8WeyzqYzN9/BF 4Dnwv/CNhfD1oAHI6awtydmFyoE0n6HOsg3ydPjx7HmJ9RughvBZumOwcZHP KhuqwH7nsU0U8x3prtJin20F7Mtg2w+bxdheRTcK7B3oE7DuxPs2fBflEPJz yJ3hu2E/F/uj2L+HfAQfWQnHeBj+ILo92LZjv0OxY1SsiuEcsfweOxfy0T2C /5w1f+D/LDQFfiF0K+Fv2gheGprCXgX4Lwn/AHxfcZ/x/chnqrOVj6nIedhM BdvC+vuxv1Hf+hQ2peEboluIv7bo2iDvRl4B1hL7fPjyihdsP/uVg8+GlmDf WWeiu0k5ly6iGw62AHkv8nr23KX8R1cTX1WR+yEnUv7WrtDx2Hequz2G//rg z4NPYH197IcgH2ePV/G9FfwYfBF4MfZeTozHM+1DvvQm9DZGsOZX7HdAHcFa pHxX0nVC/lD5jfwP/gfBj8R+J1gee76AXDZ0rdmG7nXs34TaYrsfuSd8f2I4 h7yDGAbAt4dmIy9D7hh5T+0tn/I9VGeadE1RbZmlGpH0G9db1xvTW9M3HoL/ jDVjwcZAVcA7RPbdAWoJVj7lXM6BPgWbHjl2xTQN/gI2dTJ8hs2xrYuczdoH yAXIK4mvRobv5CzYKXQZSdfM0/DPoGsIP0NvAtvayI2Srnk7wTdD14q7RqtW Nwh9d9dUg2K/Ab0F5UwtfR9yPfaqD13Btkfss1TNU+1TzVPtU06Xgh8W+ux1 RjorvUG9xS+Qm+p8U671N/jeTvD7oIfFXQOX6rxSfqs6w6rIQ0PnkmpiO3x9 g5yL3BK5Ofi3yB8n3IxGsnYmcs+Ez6C/3iNy94TP4H29JeQ3En6TPbAfiu5C unXCsqAjafZRUb2FPWprb7aoBL8x5dqsHnaQ+87G/kSaY7oF9ljo2qcakqFa E/ttqQaqFlYL/fYVU5nYNU61bio2ZfXWQr/VHuA3U84h5VKu+g9YXeSJSeeE cmNnpt+CeoR6RZ3Ia2WTFXmN1s5SjwWfH/quS0GrwP8MfReqgaMi1yzVLuWg crER8mDwWdoT/iG6TN098l7ibRwZU81V7VVNUW1RzeymtarP8OfZb0jsHqZe 1h65CP4uNgPhK7Lftcg5rlxXTuyF782aQr1dfFxDvsz+z2Y4J5WbynHl+gTl q3pV7FrdXvU49JnqbNUDqiP3Srn3l0C3UvUd+RF7/Qsdgr9LTL8lHNOdyDOH Zg/1jCf07eon6e5xP2JbO/LeinEy+KDY36qcmoM8WvU1cA0fA38y9Kyimr84 dk1UbZTPEHlt5Fi0Znema7pqu2p6a9UiKDvdPVq9elrKs1IOuj2avVjTJ901 XLV8bMq1tga6TeB72OOVDL8ZvR31dPV29eDy1PKzke9Gb+AM/NOx365yvIZ6 S+Szi6Hl8Kuh0vAtsLmt2Sr0W3wJeTv2+ZFjU8yKfWPkWKpDG5TbsWdH1fTR 8GtYPyfhHMvD3+HYdymdsLdiz3aq6eNCx6BYNBNpNvogcm3XzKXZ6wxUHewU 8iTdFXQi6RkmD75p6NiVA8qFNOSihGfKJZqnkLsk3TMbK9aUZ6Ml2GwMnZPK TdWI6ynvob1OQ5Phu6ZcO5Sz62PXUNVSzWitU+6p6q2KcQV4pdCzs2bireBf R367mlEXRH6zers6c539pdCzrXqUetWk2LOeetrq0DOeZj3V/J8164CXyPA3 6lu/it3rpZsHX4CPpcKQZ8SeSTWbqgb0gZ8eG9OZ6Gz0ZvV2lXPXNb+Evnv9 J9B/g76hZ8Nq2CyPfee6e82kmk1fDF1LNMM0AG8WurZrRihkv12xZxnl7D2w 06F96Q51l+qp6q3qgeqFq2LPRuqRq+H/B3Wvs4s= "]]}]}, { EdgeForm[], RGBColor[ 0.840826691031941, 0.8730741793611794, 0.8789994004914005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmgu0lmWVx1/O953v+97LIQW5RWi21CCxNAIOmsNBPSmXYAQDFAWFwsoL mg6XsRJMQVwKojIrQEvLCc8ANcZogo0QhqgkIiSCcjNh0ryVYHEbnf/v/DfL WYuHd3/P+1z2s599+e/9nhPHTxp+bV2SJBeUkkT/kpvzJNlcnyQdsyQpl5Nk qdoi9f8j9e9niiQ5uZIkA6tJskcTH1Vfc9XvXtbc8/Rui56b1AaI3qznCK13 ocY0aMyYWpIMFv1kYrqn2iD9vr3k58rE74fEmE56P0vrDFb7etXvGNuotS4X fVzi5xVBTwi6i96P1XOcWqb9Lwu6q/ofrHlOZ9HrRHfS2o+Kz0RnPlZ9fxB9 q+jHRf9S515f+LyHRK9S3zDRhZ7/m/r5ot7/sfAZN+t5n57z1f5T8ilr/Z+I 3lDnsazJGWeVLLuZetZXPGas+k8SvVj0EtHtNLdF9Nua+7javjaSq/r7VNz/ vOi5es6JvergV2261sw092H1v6b+4yqm79T4KTrX/Xr+XnxOzny/P9U5Xip8 ro16vlBY/odTy/0q0RM15wXuS79XSz6Xl9x/pfqPqZln9GFaZh6mZn5/dczl fJwTOawWvUqtj+hdhe9tu55jqr6zVPfVrHZqzbw2VU0jq+H11hl0o1n8teh3 +wbJQWv3UP+16v9y1fRQ9f1BbYjo9eis+H5I4wfpeURrLRafN+q5UbzuEC99 tV6DxhZqr+v3drX5Wu/hxPvDEzyw9ujYa4D2uqT2CY+XBM8Pa80tWv/nmfmF 70Wa26vqufD4injqInpLxXoOn6M19+vwrvZfiW2C+cylj3cXavyXxOssrdlW Zz9N9EzRDQ1ei7vhXm6SvnxR7TS1oWXL99PorWQ9SvQ2PadUTLfT+MWSS6bf j+S2lbFhL0ftp5foS6um6V+rs22UjLpr/27xjv6j4ya28Rpjon84vHN34m+T WqrWW/M/0H5l0aO0TlvRnxE9MbX8JoQto1/YBjr2NHaitdegk7GGXrfycF8b 7ztPfXeztuiLtOcItZUae7vW363n7Nw6iC720e+7QifP0Dq/klx2qe8N8XCD WqPoD9U3vGLZs+/bOvsA9c/XOtervSX6z6mf56ldoDEdtWcHtacqtvVy2Pts Pffo2VftXL07R+30xLqKnjKfs+Ln8BUHgrdWHrXHUvUfEj9rSpZVZ/yAzrpE bbfor2lus1r/xHqN/qLHZ2nfM9V6as4Ptc4QPf8eZ6Wve2Ldx38sF70C3yz6 9/gMrfe1sMvTcuvejZq7Uuus1ZqviJ6XW5b3hGyhkeewim3x+6LrtNZxGr+1 8DlHJZbVRxr/bJ194Fc0ZrLGDNSYj7VPv5Bnj8Qyg8/lNcuspjHXpX731cz2 1Dlsam/Jcxv1bkbF99Uk+m6NvwL/Vfg3sQ9ZPa8x89k35No1ZPtGzbL+SeF3 jB+m/vdS29rc1OfhXCXx8JjW+RfRXfTuav0+pOf7GtNXfX3KXne61vx0yXp7 fmF6gsZMUsd1Vcvq+pJ//0D0qja25/PUhkQ8xK+ik/9atV6+qvEnqHVJHIOI CZ9L7K/mxh3cW/U7+tG1qVXfwZCgWfdgrLk87m5a1XNvKVtXkP8DZZ9rfMl6 h59B9zrpvH/UnU2XDvSP/diLOfDGPc0PHj5bZz/I+teETTdFjGO/SSGH8anP 8hmt3U3rTtX6x+eez/rtw0bmREzZqn264V8S63u3kAmxnPi7SfL+d9Gz1X+L 6Hu1Vz+t2ahWKvne1JXco//6qq9PvWMksfI5jW/R8yONmRzy5mysT5wlnoCX 3itb984X/aPcd7MjtayW1tknY/d3hc/hfHNCVnPC1o/Sc+Nc67Az5F2yvJfE OiNyx8HbxdsXmKtxb5bs/9gL34BckS++s4/kOE1jbssdW8ZEPMVPfiP8M/gI jAVGalHfI2oL1NYWjnlP69msd+eptSs7hqD/xJGHwsax9e1Vv+eO6GsfYzbV e377wFvgrhdy+ytwDD7rGPHRVvRLif1mObDokcL+c29quXIW7gHdnBH+DcwJ 3gQjtWKWsn8/UPJeryb2Z/VlY60fZqaX5461ReA0sCF4Bp64b+79NvXfkXtf ZIm83wof9dvCMX5lYT/0IXqi/mrFNsPv39Zsu2MyY9XLI8Ytqjk+Q/dT+1bZ Oo7eox+5znt22WPEerKmZvu4MrPv/GvJ/rMlt23+R277hJ6ZWB/fDD7xYe+G 3xucmf8FGv9YzX0XqK+m/R7Tun8W/a42vKNsn4oP3hN6j32ApcCWD4Khdc6f sk7h9d9MHQP3hh8+ITPeA/dhIyfWu/899fcQ/W5mrMT9cXeLAvNBP1/4zs5M HYegubvGiKnwhZ40Rz82wVx0G9vGxomDNxWmT8evFPZrk0RfkBpr31lY95E9 eotcf4yOlyxrZL5WZ7pBv39Rtp8mLhA7kOu1mfuv0fOSzHMvznz36AB3wt2j A6u0zmWZseST2ndJ7jHjiGWZ9aCrnu+XLa/zA9ftD2w3L/IC/AD3yxjkyT2j l9z105r/jMatyYzvjpStwy8F7gX/jgncjW4dVutdb73lbPg/7ndkyXe0TnO+ l3v9m/Cphc8+MjMOZTwxi3OyVqv+C5tOVP9hnXeknleSY5asF3eEr+Q3Y7D7 cYEzwZ6DMp97Zc24g7tEn48Er5yFPfsGn9hpY9z1QPH3PrhIazxas+6hg9jR 0LClrkEfIdeQfHZUHbtoO0WfmBin7araZ+PTdgRmZl9kxHnxc9ujf7eer1eN UZizO+j+MR+9Yu1dsf79JeeW6Ps5sS/+/7uZfc5+cs+KMSV4clbkDOQL5HbE HnI9bK11TJ1zRHJI1mYO79ANcjHy0pEhp8nhH7iLDjG3OXg+I/AkZ6Ev0fuP q9YB4jC/ocH1/6yWtHH8uDDoGYH5uQNwxdDIXw6pDat90jcs8h3ekeMQp1bW Ox6B28HvF8WaR3/zc0W984qjew6Pvb4R4xmLbwRfDguc+XHQPFkE210XY/Cf YEd8N3qLfmwJn0wsPhCxmfdgTfIf7Lpz0KNlF78STxcHBj4QsXt93Bf4ivfc C76GvIb8mXrAA4Xj11mZbfzSOuO9fUFj42BHMCTYBp09O/SWfIv8h9ynW+g0 /TsKx5jXCudG3aK/XcTuMnaUG6/2yox9oDuDAXLjcPD48Znj0ZGa5xG7NaQ1 fjcHBjg58/7v15z3YbtptC1hay3iY6qeV6bG2JMDD4PZpgRWu0X7btWcX2qd bSWPB19R+xkT9SJkAJ5GB5bW7K+xqQ8C52wKu8jCT5PTkNuAK8ABq/8fFlgb eGBOYZqchjoB90K+SU2grdrNJede4DAw2Ibc68zN/L4h6gZF0Ox19PfywKLk YOQUvyuZBqvQzowzdguaMStKPiPyIQ5wRvzXdZlrF5P0nFIyHsWGK/iuqLEg S2SI/BoDTxDPhmb2GZcWEXsjLjdGXIfu0OC6QJo6Dz058m7yxcEl5wvHav5s 9Z+Ympdzq8a+5KzMIf6mhX3HK5LTqMzzyTvxXcylRrE/8prXwXgVj2F99P2m iGvEnFsrttF9USugZkC+sj5yobcrjrnc9WLt+1m9e6SwP+cs7SLHYQ/WB6OR exDTP1VYJuMKrzUreMNPjgxMdVXkRvQjD84IPnwis788LjUubgo54Ctvrji/ nB40vhQ/3DfyIPD5vLDrpVGvgL47MDu4t77knOTbbazbd0c/ufX0WPOUuCP4 Ib85JeiGwvk7efyEemNpYusH4Ezx+ZDeX1a47jCmMI8zgueqfv9AdPvUsQ+a OEXdARtYnRoXjQr53BWx8XNhdzcEJiSXJY8jRnJfQ0L+vL8+xpBrHozaypbA tGDbcpz7o8R45IrA0ht194tFv5g7dyRHJX98NPKfXxf2yeNjPLF6e8R0xs6J 8Wsi3hBryDfJkYnjxDVqAcSFgZlx7FupfR8+sAUsFzUd/PbF2u85/R6t59jM fFJj2FCxbKlzINfnogbB7/UhB2p+naI+CXZE9sSmRvREbVviOnpTyJ++PtEP Tm+O+6LOio5SjyBWY3fgDejdEbtfCmwPxgd37Iw7Qz5NYSObIzchR5kWNjI0 sM+5wcOruWPqttxrnxN6SO3/3NgX3wqf4PYRFdcpkPdtgQtnRnwfWXHs3hZr npB6HuckPqIbzMV/dirs2z4fdZKhcV87427RvROq3o+9iK3cz5KI9R8FbqmX f3tLdKXB+ktdGh3uofUXsWZhX1ofenJDYX6v0t3+U+767vcLv6+Evz0p7BPb PB1cUbGvPCt1DDitsD9bFb5ucORh6ACxBn2C13vjLMSysvh7Ar0HU1Qcm/EF xAPiPzGCWnKPqCefkpoX5MS5vhx1FXQXHSYnw49ODQxPnYY8nBj+l9R8/6bw ntwN2OnUwrW/noV5ph4H38R85oIBmgrzN6Bw3+box2Zfr9gerilMX11YdsiQ bxELonZKDfXB1DG2Kff9wAO8fLdwfkSe1C94IB/4TuF4Nyc17gMLgv16p8bC J+v9Qr1/p+I4yTzuhbl/Lzsnx0/srThvQZdKDV5nJ3iWGit+qXAuAsaitg0+ 2lgyRuKsL8d596SuLVNjfiLkRwwHpCDzgZHr7K93fnY4cDDYhBrD4aCHRf3/ YPw+GPr/49xzf1Nz/jq15ByH7xRTgmYua4KlOTfYgHefD1l0L/x7cowHJ4AR wB2vpD7XodyYc17Uz9+JeLQ7sY7ODJsi1kG31mRKjnv4c2pU2CE22BC4CSwE X0fPhD3BA/4APNym6jyFOsv0GE9tHX95X+7vKnxfYU+wxoCIs/RDo0+La8ah YFreMRbeyL97R6zfF3YKPrwn6tVPpX7fK8bwfXBhzZgf+6If/Vsj2fUX/WHq fIy8bJX63i67PkL+NKtwveE2vh/WrGvkr/sy39cy7bkhNf67X2M7VLwm+vo7 /T5b9GpsJbcf+1Pu2jE1HOo6t0YtkZoid8t4+KB2dXvcC/Z2ecS+T+WuXb8R NTxkhHzItcEC3Os/MufkB6gz5PYxf82NwfZFzZka1YMhE2QD3TkwPXUrTAvZ sz6+C1x8bGBsaqzUWn+hc9RyY5FUz2XBE+vwbAma2sDEqA8siDHwDK/wjI+l Xj49cj3yTmjcLjngjNonfTNiDDwvCv5b4n7ZizwM/UP36FsQZwHfnxT+fFB8 NzxD59ib2UawlSI3n9Q2NmSuR7yYOY8vIpf/ecW1LOpQ/5O6bkb9Ej+AD+gX GAeZa2jyt9yYb7TGdimMSbrik0vGQ2ChkSEb7PKuwrHy+dznWxj8k1etiFhB De+dsF9iK3cCfpgRMkJW1OOJPeQIYIH+EevH5/aH+MW/FP5mt6/mb25p8DMm Nc37VVGr+rfc38zIK25Mrfs74nsqukBMxKf9OrfuHkhtR9gQeBrcvS6+B+0p 7F/+Rg0+91oLIlZsj+9b3UJWXaIWRbwDT1H3Ak+BkZ6peZ09EbuxdeLjazX7 9Q6Zc2T8Onns4ajV4aO6hL/njogJYG98x59S1535ZoiMO4ZNLYyYA38v1xxv ntH6T9aMm1/L/e2NfOfm1LkmOoZ/BasQK1pxYNn5LbqKvSwNG+abN/XNEZEP 1YceJfFNlxyOui13X01tx49HPWFxrIOdkh88GzJaGDaIDWys+T5WZK4j9Qk8 Rn0C30XOenbmeEfcGxCyRs58k54V3wnbR20AbIkdLwv+kQexl5oJ362Jvz1z 87UszktNn/XJlZ4KvVoVtcxBIR90AMyGnJEH9oat/Uhy+BmYJDV+/FnE0HtS x/vv6f3phfPaJvUNFb1a/den/qbM9+negdvQ1a+qv1dhGVAnpiaBHyZn/0Lg RvDjpnLk3iXXgPAtX+FbQOG849TU3xjQeXQfjILv75Pa5xA7iZtTC+e00/g2 GPgHHPRu4TGl+ObPNypqkMTvbcHPttQ1J0AiNZOjf18zK7Vddc/9twfUuchn uU9iBHiyZ6zRPXFsoq5IDJ0e+czYwnVk7uD41PkLOc7o8MnIDj+MrWwMO6JO xn7cNf3YGHa0LGwZm56odbeqc3bq3HRTrDUucnPqFuAS1jycO2/AL5E78B0G PUFfLopaIHVC9twa+54VessZibvQL8T3W+RArKS+Sn6OvqG/fBekPko9tfWd 1tmeO4fdkdtf4DdOyZy/LwmcRJ69NOLUi5GrPpna5+J7qTW11jWDf+oj5Gtb 80++UZE34VOfCB97TsSAdam/kVAT+WbhGLUkdKZt4drFMXruzJ3r7opvMmBf 8Hu3kAH5AzaBL8YuqJdMDSzIt4ChUUOkHrY4eOZMS+Jc21PrIfr436Fv6N2B wjjvVj33Z16fb63oIPGQugTfUTuGXn0ztd7wDbxvxKzWum7J+BkaHUQXsRNw Hb/vjPtaHffSMcawJvUV7pFaFriSeHx/xFT85P7ccZjvPuj5uNz7PZu6BtIc +eyR1H9ztiHym8ciB2sJrMod8VwU9IQ4y0G+xxX+u7h1en4rap38bcv/AWyz 25M= "]], Polygon[CompressedData[" 1:eJwll3m0jlUUxt/c7773O+93iNVAKuWPNKmUkCZUbt3mYS2ikcKqTKXhqoQy pIHVoJHm5aZaRYNw42owuzeuMdxQNBkrRajV71nPH3utZ5+9zz7nO+/ez95f 854Dru1fL0mSP5AcsruQJMVFYORP8DpkF3gBTmvBZTFJ7sfxKNZ6hSQ5E/2j 4iTZir01+F5kNPooYg0C12ZJUg//OuzLwMOIsQL7IawdhD4SfTB4LfFGgHsg 07HPQL8FfDsxTkTvgj6a84agv5omyVD0N9BPR38T+2bitwJ/mk+S7boPMZeC OxCjM/oE7nM++BJ8qtnbFLmd/Xeh9wBvImY/cC9kNbgP/o9jf549nbAvZK0b thNYW8pZa9B7o9+M1IAvwudhbN3RF6GXc+bR7O0bHbsNekvs36JH7nZVCe8B XoXPRdhbcd4n3PdG1q4HL2HtJnBLZELq36DfMib4bN1Rdx2LXgdOkbexr0FK wR2IsYx4y3V/9OboU9Dr0C/X3dGXo1cR4z/ufh73+RK8NPpuVdxxLN9nA/5X 4f8w/qsUD/s12K/jPqWcfTxSU893uEM25CtwW2I+w94qpH7Oe1Zg245/G/BL rHUn/j70MvTj2FOJ75H4jAP357ym4AeRbeivIMeDjwnOxUuJXx+9a3CuTkcu QM+QofgOQw4P/ib6Nr8il3HeLGQHZ+9EZoOHYr8c2yj8jwW/gzyOXoz9Eey7 uFNRkWvid/CfvEEA1yJr8J2EjAG/xf7HOLtdcK6Xq37Y36zgXBiBfRt6E+zN i30H3WUF9gtT58BK8BXEqAKfyO8fiO9+3Y/3uQxZovyLfov1nNEC3DE49/WG i9FHErMy8Z5q9E6qz9S/YSfxpyKNU9ekanMO+z/A1gD9P3Bl9Nu3Zv8X0TWq Wj0UeRP8I2sDsd3Nnl34LyNex9Q5Vgveoxpk/z70veAK/Qbwh+wfzP6G4ofU OX4weDN7uqDP5E028Lafs9ZKv5f4Q9jbKfhtr0U26qyCa78Bvo3qJ8kZ+L+N bTL7O+PbHvsg7Bn2htgPEWekfmO9dUB/IPWddfeP2X8S5/3CnhcLrhHVivaU 6L0L5p4c65F4c/OuBb2B3iIhXlvefxz6NvTByNbUd9Bd3kUy9JG43sHvL8X+ Wepv0hF8D7IFPAT7UeBvMuf2PGJ+Db6b+HNS54RyYz1yKL49OK8O/JrqDf8v kZpgDhAX9MNnFnedTIxevH175AhwVd6135f9mxSLPbPr+Ywr0VN8bsO2Cv93 wEWZv31X1v6NrinVlmr8atUj8lxqzj8N2zfRXNsJ/7ngOdynZWoOEBf8jc+F 2CrQBxK7Lfo6zu/A2lf4P6mcK3FPuR7/SToDfTW/bz2+fwX7HqY3xD4fe2f0 qcQbQrzh6H+l7gll2Oeh53L2WaD7RHPdZNbuwf+76N+mnEjEvdFcPxxprFpV fafO2QbYmiHPgkcR/5RgH/mKc8Q9qknVpnrUSdHfQN9iLHqTaI4R14iD1ys/ tMb53/H7hhfMEeIK9bwd4JOD94qDv8c+O5hb57Dnn+gepV6lOzZSL0SalrjH qdcpp5Rb4tSjwTMy90Z98+ng1azNRW+k5i++RzLObo2+Lu831dvqTfW2P3CH 61J/E32bEdG1rhpXreeje5l6UIjmLHHXFciB4BpTre3mjJfAMznjYvwT/N9A b8J5K7EtR4aiH54Z1yKPoH+e994nuNPFmWtOtTeF39Mz+E30NqrJWejlmblH nDc/b84Sd01irT+2G6J7rXr4MNVP5twPnLEW/5nRXKiepd71esF3FUf9ht4v cyzVfHl0z1TvVA4rlxfh3w7bWchi8ILg2UYz1K3oAzLXwgHVfN45qdxUz1Pv mx/c29RzbgDvYG08sY/l92XqVdHcJ84fHZ1DyqU1rD0Kbk28+3LmHHGPOFPc uYn95wRzpLhSNdgG/cjMXCGOmZo3J4ubf+XMYnxbZM6N3gfRs8HzkL9znonm gvciXfDfhv4LOHCH29AbcqefMq/J9hmS57wXCu7FyoFpnLUR+05sM9jTE9v3 eWP1CPUKcbC4WDNHi2AOE5fdSvwd+v6ZZzvFKEP/MO+3eIAz2mCric5F9Xj1 +i+I2YLY07CPwP5U9Cyrb/Y0eIpyEPwB9vuxp/X9FppRc+Bx6qE5c1w1Z9VG x9KM96+4m7WS1G+0ErwwOpY4aQ/2r6O5UpwobhxPvPk59+Qq9JYFc416xLPo LwfPFu1Ze0i1FozFweLi3sGzuXrCwez9PTi32uFzavAMqll0P2dUc9bPwbPR 0+LDgnuueq9moq76XujbweOxTyN+l8xYM65m3brg2b2ctcmqxeBvoZn6Zs0L 6BvAj2Kfgr0SvaLInDMWfW/wrFXKnRaJX4N7n2burZl7vnq/OGdTwTWp2hRH iavuxf+sIs9Umq3ODo6lmfnk6JxT7vVmLWoWRfoUO0f3YDs3uBY0w+1GvyTz 7KzfXJb5zfR24nxx//68YymGYmkG1iysGUSziN5Ub3sAqQE/FPy2mjGmYn+P PfuIPZG19wvuYeplyjHlWnXBXKycqtFdg99WPaIieobQLKGZ/c7MOa3crkVe zzxDa5ZWTiu3NdNptlMN5hU/eFYYztrEaE4Vt+o/WWP2n5PZpm/2A74Dgr/d ZtVvMOeIezRTNMN3XfQsoplBs0MpMibnbzIomKPF1fpPpv9m3TLP/vpPWYn+ bea30oxUwV3OzTz7btR/kswztmZt9bQ/8N+ZN/csZW2L3rpgLI47AN4SfFfd QXe5K/N/Ub15X/Atmd9eNanaLAqeLVRzqr0xBZ+t/6RPgAvBvUWcK+79HxQK EJE= "]]}]}, { EdgeForm[], RGBColor[ 0.90531346007371, 0.8945787985257985, 0.8501093857493858], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNnHv8VVP6x/fZ3/M9Z599tksot+QWEeaHcUsNim7GDMVQbl2kxBgpzYxB IfdbfMMwpJAQhuKVRkKTy6BkBsO4JrqoqKZGcv097z6f74s/1muvs/a6Pmut 5/k8n7X22XHgOb1/lyZJ0rKSJA3xnF9Kkt9GwuKIT4+0q6pJckukHR1pf4vn gRF2i9AlwrxE7692nsPLkR5hr8i7R4Q9I6yIPJvEu4MjdI34cZF2XMQ7RuhW Up4Bkd45S5ILo55pkbax8x8X6e3c1vsRvz+PcpG/VEuSNpF2aIS/RvqieA6K cEiEXaP9K6KeXeL5Qz1JRsYYvo9n13i3e5Ttnei5m+N/TNXuwoi3jjIXRPzC ktIucPp2bmtWxN+N538idIjQK8o+Fc+DIsyPPs0JAb4Vz8GR/vMIUyP/NvG8 Mep5PdFY9/B428SzZWOSfBTxdTGu7eL3RtHPm6KuFRGejfSV8fwiwmsR3yHq fTnyjI7njBjTCVF2n3h3U1X1z04Ub4pwZ+S7uUG/SW/vdodFvDfjdv9vj3b3 jd8/hOzfjN9veCxrqprX7xLJ8fKIfxzp66uqk/r7RDghlczPcRvU/1H8/tDz S7mFJZU9NsKlmea8W6Y56hTxjaIPu0cbLXKlXen0h+L5cISDUz35vVmkXx+/ v43nkxGeirS/RTgw2p3heLdET979PfLOjOfTEU6P9EGJfhM/3vHfxPOVqOvl CPtFaIywP+so0n8V5ac7/c2Q54iQ+8RIvyv6+mL0+eZ4nhtpwyPMiTz3Zeon a75/zNO0KF+O56ZeD49F+hmNqn/LiDdG/gmR/9/x7pUG1TklnrfkknFDlO1Z VruHxe/hVeUfFWW7xbvPIu2NQvtqhsc+y+NlfAM8L/3jmXvvMq7X2LsRDihp H7AflkV6Pdf+2SKeZ0Yd51U0buara6b53DLevxWhlft1nvtW9ninRtkhkTbY Mrku0v5X0r4+OPr6QKQfFM8pUVc1wv3x+8Wq+n9A9OERzztzPTDKTot4Q6ox MbaXvR7I19HvH69K59wcfRwXYZ9UaU84fZp/Ux/6aZrTN4p+XB7tbx99f5X1 HWGXRHNOfHSEIewj5JBq7oZGqER6m0Lz9rMou12hPK3jmaKfIvSKeppK2sPs 395ljZW+IQPiF7NOIv30qLNltHNY9P3LkvTPnyy3vS074i0j/2rescci3jHG cVvUMy7R8/YI90a8V7z/A2Uifo/fkY7MaZs93y76enOk/Smem9Q1rsExllVR 7vwIH8S7w93W+kRP2t7T++MMywGdhe76JvreMeq6N9JuiWeXCI+hp6LOLPKM jzzfR/yJeL8uwkURXihpvIyL8Q9q1FxdYb2HnWHtlqwzN4/+bxGhHWs7lazR 4UsTxZH5wOjHcPZXhE2sW9Axq6I/GLjjog+dIu338X5khMMKrdNu8Tyzoj7f Gr//HOGrCG2j2Fmp4uUIx0f5UtTzi0J9ZH53j7Bvof3Ivtwj4gsifnDEFxYa 15zo1+3xHB/1d4/nS5ZDq6h/WEV6ZI5lzxy0R79VJGd0RT9kHGk/j3i1pPi+ 2M0IX2MjE9mN5bYdlzm+LuK3p2pzWsTfi7Qz0ccR/yyeyyLsFOFGx5+J9HJd OnhpJpmdEmW/dvtfu90nK7JD2KBjYoyz432rmtqkHztH6FnR/jom8n8bc9A3 6vkmnrfHux8iXFJSvaSvTmVzwBzYnb9V1Aa4YrrjtNUYfdsqnhvnWkvTnX60 53PbCG+XWBBJckQi+0z80nhOzqSjx0dYHm0ti/Bb1mv8HpMpvlesjSeizk1i 3F0LxY+I5xnxnBphSOR5ItX+Qp/3L2ktYRdGOt46wtroX48YV6easAcyR8de Fu3McbvI4fsIhydaf8z/z6PcW5YP6UOjzfNTtcsc9vA8spb4zb4GwFFPnX1l +4hux/aeHeE047rvIuyXyHZ++5M46ReztjPtMfbX1lWtyTTksE0874vf4xPZ n+G2WefGc3Sk3RDhlvhdYw1EPePQxRFGMK6y4o0R/hzh1giXJcpLmTHILVH6 efHM/B6dtnf0ZyX2DF3s/NSPLkWP7h1hUIQiwppE+uRF79Outo/sS/Znk/UY 4xjVoLFgl9GP4LQLrY8+wQ6map93HWuSdYuNAuvE2rst4ofWpVd2K0vXnFST zngpnmurwk/M27CYy1Lk+TLSr4r326fCe4257Oi0XBjw9xWl35UKF4IVsasj bVtnRNgxws6RfmqU28m/B0d8z5/85vmJsSVt7RFt7pjL1n2XaS+wD5YkWu/g sYGJ5nmY5/qiBs0n8hkTeWd5T90ZeXtE6B7hhlR4GFyceV6Zs6uNG2/1fI2M ui6N9JcbFGfuwI3UCW4vh0yXRv5KPJvi/SOR9nSEKz1f2E3WOPqLdZ6G3DeJ 35/k0se3WT+fGL/XRPnPQ86jUulu0oc6jkw+j3Y2LwkDPh/xF6rC69dG2owI NdpMhQ1Zh6c2yPaAbb+MvP+ran6wY3d5jpYZl54VZe8OuZyWCQPfEL9nluTH IJvbvM7/kmos7N/VUX+fBrVXc57M78nHmgSzt7ft6x9jfzLG/o8YY0vnoZ57 rd9Zq18UWiv1msZA/eyt6Y0qix150escm0vbjHmQ9zBzfz1jTqXL0GPs23He mzybHD89ni0irAVjZsIe4Iwm52fvj/J6Gu99hx7BLp4Y4dOSfIdVkfZIWXkZ 0x0e++yqZI2cWzmdcd8fclgfeefneg5t0Nprsm+C33NgKhuJnbov4pOYM+uY P3suOlWFnyh/e7S/1vOBL0nfJkSeTxzfBruYy5+YFc/HS8IvyLB1pG0bYX7E Xwn5d486v6rJtr/kfK+h0yPPvFx5KfNVonU5qqR9fbnreS7i21ZUD7Ii/bJU fmQPP5EJ/u4i9/OjXH7quzEPiyLeIuZ6ZcTXVbV2N7P9xsb+GltUVh72O/vl lFT9+CyT3cf+L8pkZ7G3u8b7dqlwFjaFPYhdWRbj/CLqmBB5zov3m0fYoSRd g87pV1Of6Nu90a8/RNpWqbBB57L0N/bjl6lsOXYcrLeb13w907pBDuD6pkxl vq3L5/qmLjw7xX5Ei3j/QFV6v31F8aeNXcGyYOaeqeLzva62jPBlIh2Nrp5T CMNskQpH3eG91tLzwHN2onKtPF/gwK1T6asXwL7R7vOFyrbyer68pDLkf8j5 wbnEt3JZ9gFl6Qe+EeMCqz/g/oDpJsW7Q7xuscMjbItPz/Qb35D4oEz2uU/I 4Q6wA/ObCIuAmbfJxdfslAuX4Jcj8wlR7i7bBjAL+cGK6AXqQ0+MMAYg7YMY 58CIvx/P5zPp+5/l2jeLvMfxpfCv8KeGstcizI8+fx7hqEgbm0iXj7be3iXS /1v+EdvunArftk0VBwOvKSsP2HJ7201s6KJEWIY8T0ef9ou+zSyENdu5nlWR dlrEe5YkR/QA9n5NrIHv4vesQvxK3RxL30w6jnxfWn+CF+4oq35sD3nQKfhU zE8nz9GSeC6uqq5Do82iUT4StopyT0Vb30a8FnXNLWT7WlufnBhz17eivYad R85wVJVcz/cKjbWtZYLc2Kv4QWCDoVWVa+d0xo4uaLZjyJKycH1dXB6ZL6wq Tj0tq8KE+HrjC/lf86K/W9WkD8+ryW+Fv8NPXVSVvflHxLvl4mYW1SS3w5wH Xo04MjzDeg2dBr7omcl3Y10QZ230NPYg3t1x9PnE6E+/kM9noQeW18WhLKvL xl1tHNjUjFmMabq7LHxGN+s7eKdu5jfoS0/Ln3nrkmlMV6TCHOAJuEHGyziW Os8PiTgkxg2HdGpFfcMvOSYVVwi3hizB2ZtVxafCq+4fZY9KxTfBNc0t6Tf1 /CvCr1PxN+T9tfPDUZAfvoK1My3CwxF/Nertn2mtwbuhr8H/tE8/8Ikod5TL MkbGd6R1MLoYn/SUisZA/9tm6jN+ARiyl+thjff1vkB2yJT2WN+Un+A1fHJF +oc2qH8fj4nxwEm9YxkVJdm1U9wudqar5widzbyAaZ+wXcVPBG+Bu8Bpc6MP AzLJgH3W3zYMjA4v0LymBnqN8X6A84A32Xv4CBNTYdzjU9l+nmDTwvwYPBlj Osnjgk+FV0VPznQcfvXYVHw3XGir6M8ZmbgSsCRxsD/2eWimtMkVyYv9zvuh zo/eRZ9jK6mPepnTQcacoy0Dfo9y+umOszaZY9YnuBv8jU6GuyUODt8sFWcE lsOfPcZx7A42Bx5pQEl5iO+Xis/Ebp7wEzkxt0d6/aAvWRvowxVVyaqvbSC2 kLLgwBNc9ka3tc6YirkAI41ifBHKqZ78hl9d5v3+Rk0c8Win9ysJ46wxfh5l TD7RbTFeOPbLXT/29wq3ewJcUarxPxNzM4K5jja+qMoPxX/AdvAbfIvexK6g Ozdw8FXpsXFR5smyfJprjXlo5xn4z0g/NxdGPSgVTsU+d4j4piXV8Xdj37+7 TrjgY51nYCL+4HlzCMNzyfi5Qv7oIanWNvuIPYTvtszyheeBwzjLPMYRYKEI O0b8vURnLZyz4K/RT3y2B+P90pLy0CZtM48vuA/Eu6XirfCzr4r4xhHuKwl7 kJ8+d03VHn2YV0g+l+fiHuAmsGNwxZ9WdSYzKpdOm1TTGl5qPYXuJQ925EFj /X2No5EnWBq/lfMh5rqz+9/G8wynyLkVe4u9x/7azPsQu/hoSWOBfyNtnfPA 67A38ImQGbKamwjn4Ceg6xjzGMscDox1trP1B74yOmTXTHw3XDf+CmcqrB24 sk+wPxXN+XrPO7w4+bGjU0vCsnCwd1mPgHvgo9iTYG9wzSqvz/WFZPRMyPDq VPicPd0llVy2j/iSkvb29tbPyBgbxhr/3PX0tI1G94JjFttewHHAdaCH4U7X Vn9MW2se4CrzIcQ/995hHw01BoTD5zk11T6G62Gvgc3g5ZbZv6bNJdZj3dnH nqOV1t27u8+rXBY/lPbwbZEpmKaXsQ1yBjeyX7AV7Bl8ITgQ+HbWxhnWydiU eVXZCDDRQpf9S0lcChwdXBD5qI/1vsL7YhfzjOxT/FvwPf4wfOTbLo/9mev6 4fzg/tAp6MsVxu/M/0teA+Tvbxs3y+uNdb6l1yHYhn1woPdC40aS2UfGMUuN z8DMcFLMKTKmn5y5wGcwD+hS4suc/hjr12sP7H+6/YsFtnMtSjrXPc62aVK8 v8d6e7t4LqjIB74xnh+CjRp0FoMf2OA9+pn1zJY18cl9Cq0Lzm3K1uU80edw ivAM8BP49R9VxAPQDnF4D7AvOBmc2VTTWc6edbVDe3DdrdxWHm1luTih+T5f Jg9nvjfEuwb8iJp4LdocY5vI/nk00f4ZYPu4Z01j/W2h8xX0M3p6mcdIu5wb 4betrsmuDnA9cEF5Kq5sTSp7hi3rUZb+meixV1LtTfj5r53v3UK8IvziupDB VxEWpfJZv6zIb4VnggOBayIP6fBI8JpwMazT7TO9o+yYQvVMjn4OS9UHsAE2 ln42JXrWHL/NceSz2PJBNpwZ7uVzw+XRv3bRXpuo82L3Bf/rklS/4V/x7cjT OdIvddo9iewzfO/diTAIeg8e/hDbPHTvLyqar8kNqrNw3zp6jS5PlEZda4xP 5jTvtbLOPDmHvakQFivVhYXBpWDbDT50SXjvv5nOKN6p6dyL9z9gkyNeizpf 4PyrqvjmDfLrM8fhYODZ0T3g67b2C8AfG3mM7O/Ftl/0CV4Ou45/DibAtuKb UY6zXXgQ2oAfpx3icAj4kYz9NNspbPSjxvmDbL+wDdgIeA94dea4yXKGK4fH mFyIY1sYMjnXth6bOCYVH7ihz6nmbFPjgE1SjePGQnpx/0L6FUwMBl7sPPSn b8i/T1nrHY4RWVBnB8scDoOzF/YM8/4YuAedHnJuhwyq8lPwl3a1nSXvZl4n SyxP2iI/ZfdqEPZCnnAhk13/o8bGLVyWJ79Z/+0ylacsZyLoFvA2uOk7893g HXAPeON820tsJefjZxiDgcXOdBz9jS1iLs7MxfUMzVU/dwWGuN7R1g+554g4 XOiG/PGcnKoucDV2+EyfaWIz8AsPcSAPdoO9D9e2wOmHug/YmcK8BTwcedAP q+vq/6q69jZYoo2fYAv020D78vhctD/UY1zqfOS5v6T81MF5xwjfN8Dnw/fD lzwhxn8rdrMmnLB5JsyA/YB/gafnrsEQ1z8h3l2T/ohreYLTuDNAWWwb/jW+ NfsFf5y9wx56sCS/gPUPH3xnWXbk1FzxsTVxivCMYPzV5o7hjZF/60x6f5jv P4AlsEWkN9smbCFp8KaMi3sabTLp3EXW0/ye7TUz2ONaEvmvgx90O9u5LfZi G5cd7HMczhHR39RJffAA2GlwF7gJ/ATO5yx4bElrH9kgI2SLn3Gs05ENeql5 P4Ff2VO7Op29hh8A1gHnLHccO0qb4AIwGHeCPvDvF10Pe4dnO8c5Q2hvn/Gk VPtnR8/pEd5HcA3k4ayBdjb4JOjrkvYa/sUI24Uvvcepn/5yl+ljywGMj9/C PYdHHAdDrjRG7en+cneNO0Knok9L4tm6JUrn3s0+mc4pwa3cC4PL2Nj1kE5b PMlH+6/H7+tKOquFS9jHZSlXuE7uYf3Lv/8d4XrsQYT+qZ7wt1emOvO93XmZ nwPcT87p8Su548Na52zrmpL639b4cJTz3OD+cteu+Yxhvvcm/jj7lDWQe7/A WV3rOtHZ6FJ0O/z0cpfh7Pw0YxR8iek+e2Ldg9VG2m/C/0dHjbWPz948BD45 5LI4k8060RwLdpjf2C98cvKAj45zOnmwqQPK4pW3yxX/INOZ6WCfk8J5Dynr 7s0OueLfZzoPxd/A16A8d4mwoeDfW7y22RPdbCO4Q8B9Pn4fUAivL66LPx/j enhe5rLgC+LYa/DsJGNZMDJxMDBnrPdm4jnB3ve5HvjOO52ODuTOELi4yelw msjiZPzlkrABHD594znB9dDHPpbVZOchHe7obvNIpI13WWRLXvASYx1vjqW5 38Ocf7LL3Oc4dTb/Jj/9OsV9G+cx0vc+Tod3ecj+AnJ4r6w540wbboQ+I7d7 3E/aHeNxMdaxXsf0k7rHWVazYt0dXdYZ+sDQ3VvE+lhRSJecZF3B3sIP+8y4 mvsKrFv4XThqOF7SujsdnYYOYR22LOsd/kAP4xbwSh+PiTg+zvH2c+j/Qx4D 9/r6Guf0dh7W5BTnQQ7cy+vq9Qb26ep+gg2pH+x6itud5Hb7Ov5pXX7fh5n6 cLjrZw/gD3H2uDgX91Grq09TvAaww/QPXwO838Njoc2T3e7eXn/w6qzFsd6/ 7Bnkz/t7vT6bvL/Hes1j448sC8+S92bPF9z6KPeNO1pHug89LSfirTwXyL5f XbplQF18P5zwp5HnxEg7oSIe6ybOBuJ3r0JzMMWyhT8f7fzUf7Tlhvx6Os56 6VeWH42/zt1fcChz1eUn80W9yO14zyW/V9aFSToXOvfFVuMXwimAedvYnnD2 ik5um4sTeSCenSril+Dk4L3x0Tm75N5iF/vLeU1n/Zz572VfkjuJyBTZjbQs qb9q3X+q43BZnSzPj+vCDgvqwgbctd7NNnKBbfexXven2VZiJ9fbpn9k2/G+ 4/hYx9bkl3LnbnXIpxrxQwudb29j+3Ko79LsGekf58KZC3PxXrPNiS3N5SN8 lav/nO1hfw+2zcJWbp1LXzwYz+dr8nW418wdcbBMr5rsIWOn7Oa57O3aTH1l DGAS8AP6AB741Jps2OGFzqx/H+HhePeA8Qh4ck7kmRp5PqnrPgp49VP6kum8 mzN56gVDgB92LYRvdiuU9qHl1sp+Mbrli5pw58eFzl7BZ2AwzrLvj/evRv5N c51nrDLuAFNs4NOqOh+E85hn3qqZl3rV3BR4sI0xIWdelxsTUR/v8QU4r4Yv eC7RXWzygVO4n8ndTGwXXCbn6vCZnCH2s2zBDGB5OBDuB+ETwJ8gf/JwltuM Y5YmurNJHDyz4czfce4SgOHA46nTuRcAZ8xZF7w6PMpJng/sJ/1iX+DX47vi t6K74X82zEdJaxSZ3+D4cuO4D5yObtzTfNFYyx8fnzubPXzfDh8QvxZ/kHs3 +MT3JPKF4UfwHZlL8A/8DBwd3AS8BH5bS9uLT8z5wiUeWVG8X6L7KmAiZMt9 Ge6ucK7HO3jM/on0XyuvmS0dvzTSz06FLZd4XbV0+n+su47weMGvrEnu/l3s fXWN9SHxf5b0PQDnlezZIV4PSV37lP2KzXzb9oiz+zNT6dKrHefstUehe5x3 F8K01MnZJfjxn+4n2IZ1B28JzzDYuB1Mw3kt9gXelDsRcKf4u8wvNoi5gCO4 O5E+eMc6ged/PF78BOYHfokzxnecDoYEM6HnWTN110MbtMXdBs57ufvL+MDh cLPwvZz/c7cMO8UZL+dQcDJD7bM/UJf9gQvABnHv5mXff+M8aGSqcwF0CrqF cyief3D6TU4nvpXTybu6UT4gvmAry4r1V/Z9Qvg/7hCwR76pyQYjP2zTrJrO AjgTwMcd4nbhcuFxGe+Bhc4gmwr5AZzNY3vYb9TJOmzjdM65OBMf6rnGB95w LyzCmzXxPPA9cIGZ9yP4/HNjhIeMN8Adh1TE2WHvOjkOd9fd+Ip1fHCkdaxI B6ILOzhO3k4ui2+MX41PjU/0htcbPgd8JP17MfMdt1xcClwNewR/iu+e8Mvg 9tlLrE98MOrCt7rO6eTBPtMutgB/fL3voeGXt7aPzz0S6v9vTRgbfugc79Pf uR58OOK0ydkZd+/g07DfxNEb13v9sfbYW2dZ5gd5jPSRu/WcGT5X015/2+v8 LZdF78INsQ/o5yVez+hhsB37CF5rdUX3Xe81jmpev7MLnfc/G8+ZmfRR31zz js3Cp2POOlgmnO//y/LHnpHn2Sj3bOyNPSLPc3VxN9yBoa7jqppj6nitrrme V1d9B3uu+fYDzoU1hq/JPsJegw2use6CJ4JXebIQfgRrgnO4b8U9Lc4AwS6c L4ND2FfEuX/F/njDZ4qjXSfYbAO3G/E1mb6VAmN0KDQX6Dv0HvuE8xRwGhzq ebZfYFLycFeQ8wvOpPGJptov3TYXB4CNxRZz35M1gp7nXBS+oG49zW/OnNm7 7GF0Mveq+J6H+97zHOdexxSPFc4E29LD9mVhTZxNx1w86vBU9po7Qpd4PbDO r7V+xk5x5kX5pebBOxXiHS5xfzob9+5te57avnPejo+P/YOX7m3MDH6EfwFn wh+fa7vZwXobXQ7mBJ+BoWb6HA+bxXdArAPWwN65zuj3yYUXkDlnoJx1Dnd8 P2MJ4mAMfKkBieZmhG0N2AJ5cz6IvwnmAhu8aTvFGuauE3oX29neWA5Mh8wv TCV/vtHhux3uh97sb8RW1LUXuOcChzLDst3PdvA6x2d6/Bu7zWvdLvf5qZ9y zPUFqdY53CBtwTHyTdwF7sMM9wd+hrNzztBfK3T/a6nHiC7AboO15mXaW2Nz nblwxgkmoQ7GRj3LzbFxDsh5NDYWfch3dsgFmWzg2MyzcafsYq8NZEFf4b3B iqR1SeRXDrOum+w4+gdOF52AboCXgZ95JNf7c51/l1x3WHfNJb/XLUO4Hjif fSN9Z/tT+FWve++QB117tvUt9oI1Rf85K24yZoNHPd+yBXujr7hTCn44yPp2 WaPwbGfbI/KBibnD8EeXnes9yX6kjvbWY7m/l+GcE18GTAb+xLZjv+gXdYGz wc+NNfHoJ9ekW1i7cNTcN+PbRe7bPFvTfQG+HYSLe8B5hjvOHuebj4u8lvpG H1bGGG6O9ZnV5Gfhb51diKc+y/qzk/107mzCO823bnzV+vY1xxkjc8JZFuOH TyYvnMCvKtLb7Ntenm/mGu4fnwGOcYPvn8pnZS2/ap1GH5f5HPBAr0d4SHAH +INy4HnwOlidvPj73AnB98U24PN+7Tkjva3XKfsR7gFMAv/wf7nsNfdA4THv t9ywM9zfWec66Sd2AVwCpgc/LK6Jwz6npm+V+C4JmwGHBU6EQ+D8hu8IwQGc peD/cp6CLmdO0UV8W8fZBHwpvj+2CjsFFuAsDTzA2MGgYAD81KnmW8EF2CTw KnfPuUuIbXrF55lg1Dm57s4+n4uPHGNOEj0Kpwoupg8Vy/kUcz5wP/hw7GFk mdf1XRvft23ivj1qvXGRdRHnRpyHcpaELZpiGda8N6h/Y+t+yt7oewHIiPuJ zd/jEp/rNXZltPdD5Luq0Dc5YJXD6mwqYYi3C3E5cDjwfm8W2nvgjs38XeuC Qv4LuApMxbkBfcNWwvfAqzBfbXLF4VpYk096zS/3mmQPf2v9e4DX7fXORx/x VzknesXzwT7ld1PDj/4zcXA1/jJ3DrnLwX0h4ux//D/8QHwh8H4r2yy+ESCd ssfUpJs/BXtW9I50/Hx8ec73uf8BHwgviE1o7Tzs5du8TnrXdO6xIlPd1MOZ IGde49xn1uFVnm900dW2re/XdBbF+TAcA/HZkf+7XDjy+1z4GpwNdtjY9aDP 8SfwK8BQ4GHygHk6GQ/O9R681vtwuNtFr3HWB2cFHuesj9/EwXrgjOb/KiCd +V1gvqtzTb4VdeJn8T0n33X+JtJfq+ne812R9jq6MeITCvE/6Hp0MtwDHASc 0fJMcuttvXGjdRrrZIV1DudLcGcfGHuCO/G/NrXuAm+cbD3/eaa9WLKPyr2v R6wLSINP474HHBDcTaX24zec7K8NHG0qH3lgXXe2FuS6N4d94u4cY6cP4F7m BfuIzMG/WxgDU0fJbdFm4jj66ibbF9ZGe9vHiTX5DxcVsgHYAuwgZbijgu/O PILdkTl46Trbyq09t/QH7g+ecLaxLhwEsuI71L6NP9aFX4JPjYzB7sgZPg59 +H6meeMMAD0A3nzU6wFfn/sJdyfiPEnnLhk8APdF6p6rxzxfnBkgk8Tf8lP2 nkR3K/Bp8WfB+Nw7B+fju9/k+QV/cj8PvgjcAG4CP4HxwBJgbNpijrlbxXka HBrcGfdfVtn20SfuxuC/0d+/eixr6rpDsLau9/S/yTgZ3IwvDIYG5wwyHgD3 7+C0LvaXWdvc9YRP467Zi77bwNrhrh93tunLSveHb9bR//CCcKlwqkfVtG6Q 1c62xSutJ7u4z5w7c++AOwpwPpnH1WQ8OcP33Gb5eyu+MxhUE48En8Q3/XzL DxfJeQJnD2XbiunWY+sdx17g44J3wb6/rInfgOfge4Rpni/2BfdKWbN8t/WE dTU2nDjYFT/uccfxrcHqYOjTa/pOu2eh9fy464Tjg2+Ad+hv/pS+buh7VXwl mBy83SXRvc6p3uNFXecynM+wRp7yOoEnxt7D+3GHkHR8/OmZuKFb6/IbOKPd 33iJOPaWO+n4GGCk/onwNf4ga+EJ63Du5YG/m20wfihYpZ/xOL9J7+c43+OC fxgjY2OMjKtnTd/PrM+lL1lb6HD2IveqwRit/Z8JwwtxsWA4MHDzd1bPWS9h K/AZRtS0LvimBNs40bYS3cA3cugL+DowIbgI3MDZMzjqjUwY9IOQz6T8x29o HnTf0OfcvaQt8ADY4C+W+TaFcMm2hfbBP7w2ZrrPyJPyjBP7yN0JfMiBic5O 77Buh9dlzcPtwmfji+J3ch/mQfeBNfaS1zAy6eiynAVgJ/Bdl9g/wGd5ty7u +L26MM8sy7aDzwuQOfgEvI/v835dGJz/kpkY8VLkeyqTn448wR20D15hP3E3 +0mXPdrYcMP5cqo7XuhP5PGyZbKf48j+e8sQecId9PK6Qwb3ee/D63SwjWeP Xu89ha2eYHvdwm2hd/GPSr47M8n1gKGOcP7DXS/vwEvbeC1hR/CV8enYn5d5 zbDGHnZ+6vl/4WT7Vg== "]], Polygon[CompressedData[" 1:eJwtl3uQzmUUx3/77u77/m4IqVxLTaRsV92spNQUUZQSymZLspKQ6o9uU9Oo mS7oMpncilz+MCHjsrkvupLGqimU3O8sW8Syfb7z7Y8z7/c85/I8z/md55zz tiwddv8zmSAItkIF0JgoCEbxOwGmfxwE/aDx4Kr8IFgSBsEp+CoM+hQGQQ04 v04Q7MkFQQJfmgTB6TQI1sD3yQuCSnw9is6n2P+RDYIyZKvhj8P3YI/F+Hs/ 8l7V+D8ceQ/t1R39jeBKqBr5YOgSbD+HNoHPhwrAWWxGsFc3qBC8nj3mIYug GvhOnGk8Z6vC3xT4cvzlgd9B3hX7ccgPIj8AjQWPwH4s8kGcYRz681hrCt8M +gr8EXQU3daywf4I/uqDy/B3KfwxbM5gOxN+Gb5qoG+IRxFru5H9Bm0Ez4KW gpeHvrtirFj/zlol/Fr4Sbof8d2LfS3xKgS3xd8n7LeNb3AF+AudEdndrFWj /zP8MvBSaCBnrWVtKrFJ4QP4FpHPfgz/q5BtYf+57FcP6o+sO/R4xmsV4Dxs hmJfD5uMvm/k2C6E1rH/ZNYO5zumU8AdIp9lInwR8pmsTUP3X3RmgE+xtor7 TGCP5egOjx2r3ujv5ywdkPfP+szF4IehlegewWef1HfS3c7Dxwbsf4K/Bf2O 0AZwjhidQNYAnRT+R6g9sl6sBezVByoBHuc8fcE72bMBe1XAh/Cv4PMh5B/r TPArsL8C+x9YW4fuC6zNRnaUtZc4z8HE3+p77A8kzhHlinLwFXQ3orMvYx+V 4HasnY+vhZzvMXS/jYwXQCXww5C/izwP+2fBtdis4+xt4OvBXwm9HjjHrgLv gRopHlCIr19T33U68nL4c5G3wnYJd2wIXhY595Tzyv090COcrS+0C7wf+7ex /xj9fujWj7233tg54OtTv+1+6N8APgSNQ/9DfG5Bfx8+SrL+hnvBZ6FR4Oeg M/o+6Dyf9Zl19uugCvyNYK0G+cnYd2lOzE6AJ0CdMvZRi/xL9mvNfq2JwXZ8 nU5sOxw6BZ4XuzYoRqv5XsvR74B+R6ga/aPoPKX3DR1JnHPKvb7seQbbIehv y7oGqha+Dn8i6zemt3Yc/Y/yHCPFaq9yFn40/D74Kmg+eB5nfgz9Eqgo4zXJ esIXw8+GPwKfH/ktKIaK5YeJc101RrVmHVScdQ4rl19OXcumcp424MZQZcY1 qzn4LmgheDH0BL4vhN4Ed4F+w34Wd9xMfFpiU8PZ30K/FtkHfL8HEtdk1WbZ 1El9J91NOZTG3lN7j0d+OXhr4lr9Hf62gDdDXbN+Y1/ja2Pkt6GcmIJ+oJzM dw1ULeycuvbMR34n+Br2GFngGqZa9jA0N+tvVoXvamhI1muSfRM5V+fA3566 5qj2qOYXq5ZBi7KOiWIzDpqedU0bC/6X/XoXWke6TVkbk3VMFdubVMPgX+Po 9yK/Gf7ajNfag3tH3rsMOsbZ7kh9lyLucIr77078VvTG9NYeVE3lvqXIO6a2 ka3udDzxN9G3WQS14GxnY+emeq5672epv61y8FjoGq5arp5aAf4AeZjzGVez V13lO/bl2AyM/Eb0Vhqj86tiB1+lt8iZlmPfJbWuapRq1eTUtVZvUG9ROaRc 0jf+Hfw08k0Zv5mh4Kbo9C9wjjWO3fPV+xXTJoodawOQNWS/AezfCwrAOagq 9JvQ21BN7oFsEnwj+Cz8DuRJ5NiU4KMZvk7HnkUehfJ1F+S/IB+JzU5styeu TbtY+yvxnXV39exd2G6P3RsvwP8u/Jen7g3t0FkCHha5d18GP0e1ASrLuUer V+sb61trJtFssiOyrmqUatX7sXuH3vB69l+YureoZ+6PPINoFtE3WICvitS1 /3bs12heSo3Vc9R7TmJzV84ziWaT21LXMtXQTuCvU59dM5dmr/aRZwXZfI8s StwbJ7IWgleo5gSukSvBCWsD1Zv0BjlPq9izzYvoNwLvDp27eqNXx/4m+jaD samH7ZORsXJOuadvoG+hnrY29DfSt9I3f0C1KfYsoRo0OvUe2ms7KpvRnxob N0NnGvhC6MkC59jc0G9Sb3MQ/EXIukXudV2gA6FzRLmimlOK7D7oUMY52Dz2 HXVXzZiaNSugJwodA8ViZuzZUzV7Bnhu7NounThxT1Fv0YxThqwh80f90D3/ TmQ7Y89O6hH7WD8d/t/bcp5VZsc+e2eoSewarFosH/L1HD5WoV+O/t96S6Fn Qc3cmr1XRP6Wmqk0Wx0MfXfNcJrltsWezVXjusC3TTzbFqJXB/sJ2DTM+Y2t R745daxL4beC/4QG5xxzxV4zgmYF1dB70N+SWlc60n01ci9YCv9P6pqi2qI7 LIt9B93lRu4wEt1NkWcv/WfQf4eLY8dCPbOl9ousqxlas3TP1LO6ZsIeqWcw zWKaiTuqX6q/5Hwn3e2y1L1KOd4afFvkWnCStTfgi2PPErKZqN4QWaaer95/ KPR/C+WMckcxU+xUY4rgb01du1TTH9I8GnvWVU1cr1qXeLbTDF+Abd3YtUYz nWY7zWia1fLh39P7jYw102q2VQwVS82kmk1VM1U7I81c+q8VGavmq/ZrxtKs pRrVgL3+A+Yc7S0= "]]}]}, { EdgeForm[], RGBColor[0.941176, 0.906538, 0.834043], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl9tvVVUQxvc5vZ2zz0a5lBhNTAQfTDRpAaNcBH1QE9Jab20Re0qBEhMi tfQA/wBPvLZi4KXQ2sR4QS5tfeYFeNEEbMREiTFGAUFutgFELq3z4/sIPqyu OWvPmjVr5ptvVhd0b323N58kyfO5JKmK+Uj86axJkuux2F6dJG0xGmL0xvfV MbaFzlhtkqytS5Lm+N0b80cx/gidXYUkqcTYHDbqa7TWEHYGc9LdGXtPxdri GMdDZ24q+V5J9t6v097GWFsUoyP2HC8myXis7c70Hb26sHkxfj8TOhfivJn4 vT1018WoTvV9JJV+h20yn62WfCD83xS6XTmdhf+V8O1e7FsYv7tjfThGS4z+ WC+kWj8bZ50uSPdozB+E3yfC3kRR+qti//yc7PXa5sY4ayrkDbUakyFPxfrd vPxvzytO7CHOldjfmZOdb6qkfyfvfZY5Z8g6p+Ps70LvTsRjZayvibX6GFtj lC3XxL7P4uzDVTqn0Tnl/J/sw9HYv5wzwt62WFsR8tVYXxbzUsvE+dlqxfp2 QXF+LZPusv/pY2dV6CwJ3axK9s+F/qzAxO+pbPxsO+ANrF1J9H19jc6ZUyXs XE2En/0xriXGlHH1Xk6+cdanMfock4tx1uywczbOOhb3+Sd0W2LeEGMuMQ2f 9xS0dzJsvhnrt/A91t8uCgfXMp1LTIkh2Nlm/PTE3i0xDhmPrIHvfTnVCfrU TqMxfCOve3LH2jrVF7+XOm74P5MpLo+Ez5tjnlejGMx1LXHfS3HmzZjfKCp+ zzmG4PWw7Y8Y/+RnPHI+Wqd6BfP1sbYjdEeMb2JFbY3F+Dv27qjWb2RwscTY IH5ttcITOASXYPj7ovBPHRwvKEZjqTD/mLFKTrDfFPPaGuVslWMFVslvk2X4 4YnY/2vYOZiqXqjTtc4ze8nX5/HtTOh8kSoHrA/E+nCmc38Iv9KYyzXydX/o TYT+maL4BhmbNXBL+Fhb1DfWf8tke5HzR21RP8R3MBV/DWXCIzEBk5fi/t0h X465TM5jtFYrV2VzJnawQa6+qpV/+IaNdtshlqfMjSPmAe4L77bbDvr7XdvN 1tlpPiFX6F33DB5azIvwGLgCU4152Rg0Vleao7EzU5IP3PV2qpxNm/9Omhup FWyQt9cz4ezVTNj5tlr57nWOye+QuREfuNtixx/eR54uqd6ou3eKwgI+4c9A 4Ko/xocFre+zz2B60JxwuE7Yhs+Z+b3DnMDZ4LnDvhOTcfMn/qyJ8w6FrVcy 8Tg5WBz3fSlTnlbGPJVXDME8vmyyzF2QH8+Jf8nxj2CvJJ4aTYUL6oH7wt/I 1AXnsJ+9G90b0MEeMvbL5j3u+1dBdVNJpcNe9Ht8X+4OR8CN4AX+AxNgAa7b WxA/U0d7LM9OxSFzYu4raB28Zal6Az12Is75slY5r9gOumCZngK3vZhJfiHm R83v8BlxTqsUa7BJLwDDra6RK85L2TxJfjosV3xOs+/S5fvAJ03G6rC5DJ9X ZPJzeczNRfl1riTO3uU3Cb7869zDMdQDOH46Va+mty8w/y50TDpdZ+R/uzGD b7scw8ZUZzSkwv6E+XTavFl27XJ/7g6mqHswcNRviVJJca3YZqfvNd+82OQ6 GnW/Aftfm9PBOb7gA3vbHM9W1+GEuZc811bpDvmSelCuJO6EQ+GJrqLq6ZeC 1ql9ePVeKuyBQTix3T240X0a3/4sKebnS3rD9DlH3KViuaoke3fC3kCmXvhx Jj/7XKct7k2Trmt8Y0+f7Tx4F8Ht1GVSkjyTyucW74Vvhp0veil9FF8Xpaq5 8wW9kXrNq6stcxfmra67SffMtqLiN24eK1uHvcSUb6x/kqmPbgz9I3W6A/6X /ZYG27w/8Gd98WGPb3Du2q1z0r2n2/lv9FuozbnF3wbbfNAfWl1TzPxmHdxX XEfzUvX0+pifTFULbxXFmWAJDsHfHr9t9poTqIMWv6MuF4RDOJ93xgFjkZge sky8LpSE8Yt+24/63U7tcS65fioVr/D+Yt9B2wGzt9xf8A/9KwX1SfoffuAf bzDyTZ+ddq3Bd3fd/3hL3uci8zc9BF6lt9NriPNU/uF37n7EvYOapDaPFaR7 n5tivJzJz/aisN1nzmwtKs9g/K77Jv0T3oJL8Qn+n/T/Alvc0/AfXrxpfoDb DzgOs/wWnjKXUV/UGT1owP0O/X7LA36Xdvmu61wPg+6XYGCL9/IdzK025sEr uF2S6lu/Y9XnPkq+yPmY3yr334B56dALbvgNP2R96nS33wQnijq3x779B3no 5rc= "]], Polygon[CompressedData[" 1:eJwllM1LlVEQxs+93ve973vua5kKURCkBUFBfkCllrWoVrVIyzATLVetDMM/ JMMWbapN9EGGdde1UTcFlVRQUVFeE02jm9kXprffwywGZuaZM2fOzDOnpu98 e3/aOdeGZJCcd+41yjYkQT+QOHcvdG4w5dz3yLlGfINgRWLfY18ED7LOPSlz 7mXs3CLSjN2EPAR7R8w3YjvIUcg5dxBfPjRfD7Hl5HtDvu3IWvRL4CFnR8m3 B30AX2vKcj7Cvox49Dvk2Is+DN4JPsn5q+j3kQJ6dcB7yL/K/XU88A+yGewZ vqfgtUiEvUBNfaHlUK5a5BzYB2QjejfxnlrynA/Ql8iXYDeCV4H34qvEruK+ FbA58i0Tu54ar1Pfi9j0s9zxBWwCO19mPRwG/4HdAn4Bu458DcgE+AbqqfeW U7lVUw32FFKOvcgdn9CnI3vLCvYxck3jqwBfwi6gb0XqwAfo9xZvPVVvf4If Ib7E+Unsx8RcAQ+QLuo5hbwl9oHuyJhPmHzCspzPYLfFdnc9MSn0V7FxQT1W r1d5c4N0pIQ+Gxm3ejSfnHFC3PhNjjHil8k5RK2d4P/Q1yE7MsYRcWVfYrNX j2c5eyI2bo5SUxEsha87MA4NYZc4czowzog76ol6o5h0zmpQLerZHLXd0hsz 1jP1LgDvDaznn8GnyNGfNY55sJ3eZqcejUc2E81GdzrwEW9cEgfFxYXI3rqK tMfGCXFDHJxHbyX/3dB27qT6560X2oEV9Jmcze4G+O7E3qy3q2fHid+VGKad 1G42I7dDm7FmPRMZt0bw7U9s5pq9ODnO+abEdkVnWtA7YotVTartUGKz1w4f 1q7Gthsh54vk/or8TdvOaHf0R+ivkG8Td1V72x39MfprxiLjpnqq3opD4pJm cBN8jbe/QTPQLNQz9e4XMh/ZH6O/RjukXfqY2F8gzlV6q0m1iUMV2EdjO6sd 1i5fS4yb2rnnsf0Z+ju002fQ/wOBNK/h "]]}]}}, {{}, Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[CompressedData[" 1:eJwl0rlP1FEUxfE3MJBhBgSXioRElhrRREUFLMBKkZ3KCJLQavhPZLEwIUJo oKGQXhqwFiI2RhKQfQtrJcLweaH45tx7zn3L782U931of58IIYyipSCEg1QI b2ge8nGkL0mHcBNFKEa2MIQbNC8Twob8r3oVQZ+ln+TPUIdt3g7G1T/tt6ve wz5GzH7Bb/6K/Jb6gn8Z98Gofoy/IO/XL9L7vBpsOrdB1sWrp930OT3md8Z7 qztornXn5v/jHy7jGdg1N0BnzZ2Y+0ZP6T1eNeblM/Eb4/1kSToR9+A36V+g EW+t+cNbc86cuhn7+na6R1/RM3rb2jvIoBA78W34yfg+dJ23hhx9AoPyITzG S3ts8LawiUe8h/iIJdk5/UV/IGWPdfu1qg/5bTSBSf4UqlCJJTOzyMR7x9/Q bFr9VZY034tjXg+9kJfzK1CK6fiOvLv0tbzW3FM8QZb/Ob4ff1j/nY7Qd/QB f1lelr7+r10BEZFcZw== "]]}, 0], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[CompressedData[" 1:eJwV01dsjmEUwPFXarTVj4gY1Sou1CoXuEIoiXllXGiJVSMxK0gkYiREuDIa XJlBcWUlRDdqRDoklZhVpUZQq0VVI37Pxf/7n3Oe85z3ecc3ICd39rp2URSl +umUEEXvE6Monj9wC34j1jmK/sZbj0VRkvidWgLH45/eMrQmRVEpH7YWx43y F5zPr/XV4xUmqu1Sy+edfJab7RnHw+VjuZvrZOo9Kd6mNgRDkY7BGIQt2GBf Gd8M10az/lVqK3He/nOoFlehEhnW1+hbi9U4IF+ovp+/oD7McZ/z1Yq4BrVm vEB/6zvwS892nqtnG1+Xf+QT4bwosGeGtWt8RF4qLkExeuvbhJ/2bOQpam+5 Tf6Oc3FJ/IYvhufGY/UcE1eKj3IVHw895nc1f4W8Cy/n6eqj9S+W35cv4iVo 73l2RAfU2deg9pLj5DnhvdgzXf8fXspTzVnG0/gUfuh9Im/ij/L54nuYJJ7L P8xoQjOy5N/5G76G960nE1Mwyvy28C2hFY/1vlX7au5ATkcPPJfX8TM+zWfQ MdTNqA3fFerQT+2ynhROxoUwX57GieGd6unMqfIc/iyP+CmKw/3KSzjPWQ5i lnwmeqolci/O4mwcsn4Yn8xKU7/Ft1GOG64ZC+cJs/U8w3MUqmdbn4dGawV6 ilCIBWqruA9SkIy+SA3fNfL0Z5gR846Gi9PURoRniwbxXbNzzViPX2q31e6g HJvVtvJ4+ycgQzwMY/Q94Ba+on4V28PzlVept3EF/+VK3m1tD+/FHL3dnWWy tZHhfXINPwr/GWtlqHSm/eH/FmJUIJI/1lOgf1+4d65Wf4j/biGqUw== "]]}, -20], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[CompressedData[" 1:eJwVz7srxWEcx/HnMDjHpZQ4Z6EMLmUhl7IZzzEahFFKBsegxOBWyuDyL0h2 lI4Fi3IfOK7HwmChkEVKKa8zvHs/n8/3+3t6frWDYz3pSAhhHIniEGZLQqji GY7zHEd4HQXIlYZQyH/8iIDKshBisRCydq9xg+1oCEVmFfpb+Q732NFH9TE8 yDlkdRkk3ZvCm28y5q+8y726Aa62W4N3+RMfGNIv2mvUl3pHvXNc18AjvMob ZgfuT8hN8pP8nH+P7hDD7jniF/Mv87Q8ikl5Cp12y93dblYnd/Ahf/NW/l8x YX9NPtP/8DGf4gTTZvOcsteNFudmdNm74F/e0+9jwe6mfK3/40vO4ir/L2ZL 3GevH23OrUjaW+YVnOsv8A9A10K2 "]], Line[CompressedData[" 1:eJwNzTsvAwAUhuFjcy0Su3SzCAsWZoPoYC1tIqEDQTGQGlwqaf0BOhmrbklF gq0L1pIYbRKjwVCjZ3jznst3cpKL63NrbRGRwXlnxBhu2yMOuyIOcNEdUUWu I6LGn3xkXsQxxuVPuIwSvuynzCaxoZ51k+cUD/Cj+ROaftxjWv3AZ25PcSdX R0F2U//Nea5gRnZPn7Hf5zQvYB4puyz3og8JJGX6ucRLXOZlHuJn+Rd8+N1A Vn3lxyVq+JFZNVvBlpttDJsneiJG7Ab1o1zgCl/b3eBXfkLf5De8o27+6seO ehdV+6K7P7TwD2s+NYw= "]]}, -40], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[CompressedData[" 1:eJwV0DssZHEUx/E/hXgWJGylEK+gW5OwCZ1Kg9Go2U1UI1GYRLckmo0gmywh FF6dfgYRGs+pJESCTXab9Y547FDtfqb45vc45557cyt6B6KxrBDCV/zNDeG1 gOIeDxl0s/kh7OaF8KMwhBlMI1tepitYxLm8ROfsvnvuDWmc6tNulBWF8AHt 8h97v3TH/G96Jaf4GJ75FzyhWM6hJbSDDtIJNydx7T2l8jrdwCa+629ouX6b 7uDY/QSifDfuzIbs3dI47dH1uV3D16KML0W1+aPZOK3TN6A+g3yoP0IKK7pV fOa/YMb8oxxBI/p1cfea+GZU8ZWI2Hsym6ct+gXaSj/RE/0pznz3AYb5dbMk Eni3M6obwZhba3KnPooutMkXZpf4iS1dyp1v/AG/jz38szelm8z8OyTl/0iz UbU= "]], Line[{2951, 2950, 2526, 3242, 2408, 3246, 2527, 3243, 3245, 3244, 2616, 3146, 2832, 2833, 3074, 3073, 2316, 2922, 2923, 2921, 2955, 2956, 2622, 3328, 2623, 2422, 3154, 2421, 3155, 2626, 3156, 3157, 2842, 3337, 2329, 3083, 2330, 2932, 2933, 2931, 2970, 2971, 2636, 3330, 2637, 2434, 2847, 2433, 2848, 2641, 3168, 3169, 2850, 3339, 2338, 3090, 2339, 3256, 3257, 2977, 2978, 2652, 2442, 3185, 2449, 3182, 3184, 3183}]}, -60], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[{2410, 2615, 2409, 2920, 2529, 2918, 2528, 2919, 2618, 3147, 3148, 2838, 3336, 2317, 3075, 2318, 2925, 2926, 2924, 2957, 2958, 2624, 3329, 2625, 2424, 2840, 2423, 2841, 2629, 3158, 3159, 2844, 3338, 2331, 3084, 2332, 3251, 3252, 2972, 2973, 2974, 2639, 2640, 2436, 2849, 2435}], Line[{2437, 2853, 2438, 2645, 2644, 3170, 2851, 2852, 3092, 3091, 2340, 2799, 2443, 3175, 2444, 3176, 2345, 2759, 2760, 2761, 2980, 2241, 2656, 2657, 2452, 2862, 2451, 2863, 2662, 3190, 2869, 2870, 3106, 3105, 2355, 2801, 2459, 2874, 2460, 2875, 2360, 2771, 2772, 2263, 2248, 2601, 2999, 2998, 2739, 2473, 2684, 2683, 3205, 2476, 2893, 2895, 2894, 2371, 2777, 2778, 2779, 3005, 2251, 2697, 3014, 3013, 2742, 2486, 2701, 2700, 2706, 2488}]}, -80], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[{2412, 2617, 2411, 2837, 2413, 2834, 2836, 2835, 3227, 2915, 2916, 2839, 3076, 2319, 3077, 2320, 2927, 2928, 2734, 2735, 2736, 2627, 2628, 2426, 2843, 2425}], Line[{2454, 2865, 2455, 2659, 2658, 3189, 2453, 2864, 3343, 2353, 3104, 2354, 2937, 2938, 2936, 2990, 2675, 2458, 2884, 2465, 2881, 2883, 2882, 2600, 3200, 2887, 2888, 2805, 3119, 2367, 2806, 2474, 2891, 2475, 2892, 2370, 2775, 2776, 2265, 2250, 2605, 2254, 3011, 2740, 2484, 2906, 2483, 2698, 2487}]}, -100], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[{2226, 2599, 2223, 2255, 3294, 2743, 2909, 2908, 2492, 3348, 3226, 2506, 3225, 2505, 2272, 3302, 2567, 2507, 2717, 2569, 3326, 2570, 2726, 2725, 2720}], Line[{2466, 2886, 2467, 2677, 2676, 3198, 3199, 2885, 3346, 2365, 3118, 2366, 2940, 2941, 2939, 2996, 2997, 2687, 3301, 2688, 2480, 2900, 2479, 2901, 2602, 2696, 2603, 2604, 2712, 2711, 2375, 2907, 2485, 2741, 3012}]}, -120], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[{3010, 3009, 3286, 3285, 2498, 2910, 2497, 3215, 2710, 2279, 2694, 2695, 2731, 2730, 2481, 2689, 2472, 2903, 2482, 2902, 3210, 3209}]}, -140], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[{2293, 3307, 2397, 2393, 2822, 2394, 2823, 2297, 2732, 2296}]}, -160], {}, {}, {}}}], { AspectRatio -> 1, Axes -> True, AxesLabel -> {"x", "y"}, PlotRange -> {{-5, 5}, {-5, 5}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}}], Epilog -> Dynamic[ $CellContext`iterates[{$CellContext`dx, $CellContext`dy}, \ $CellContext`xy0$$, $CellContext`n$$, $CellContext`\[Delta]$$]]]), "Specifications" :> {{{$CellContext`n$$, 1}, 1, 100, 1, Appearance -> "Labeled"}, {{$CellContext`\[Delta]$$, 0.1}, 0.01, 1, Appearance -> "Labeled"}, {{$CellContext`xy0$$, {1, 1}}, Automatic, ControlType -> Locator}}, "Options" :> { SynchronousUpdating -> False, TrackedSymbols :> {$CellContext`n$$, $CellContext`\[Delta]$$, \ $CellContext`xy0$$}}, "DefaultOptions" :> {}], ImageSizeCache->{415., {243., 248.}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({$CellContext`dx[{ Pattern[$CellContext`x, Blank[]], Pattern[$CellContext`y, Blank[]]}] = 3 - 6 $CellContext`x + 2 $CellContext`y, $CellContext`dy[{ Pattern[$CellContext`x, Blank[]], Pattern[$CellContext`y, Blank[]]}] = 2 $CellContext`x - 2 $CellContext`y, $CellContext`iterates[{ Pattern[$CellContext`dx, Blank[]], Pattern[$CellContext`dy, Blank[]]}, Pattern[$CellContext`xy0, Blank[]], Pattern[$CellContext`n, Blank[]], Pattern[$CellContext`\[Delta], Blank[]]] := Module[{$CellContext`xy}, $CellContext`xy = NestList[# + $CellContext`\[Delta] { $CellContext`dx[#], $CellContext`dy[#]}& , $CellContext`xy0, $CellContext`n]; Map[Arrow, Partition[$CellContext`xy, 2, 1]]], $CellContext`xy0$$ = { 4.260000000000001, -4.0600000000000005`}}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{{3.5311881247718983`*^9, 3.531188157921956*^9}, 3.5311882322716866`*^9, 3.531188357789507*^9, {3.531188476396516*^9, 3.5311885034001627`*^9}, 3.5311885576414585`*^9, 3.531188598061129*^9, 3.5311886382156*^9, {3.531188669665255*^9, 3.531188696934103*^9}}] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Constrained 1D optimization", "Section", CellChangeTimes->{{3.5311895406814547`*^9, 3.5311895505718718`*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"g1", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{ RowBox[{"12", RowBox[{"Log", "[", "\[Lambda]", "]"}]}], "-", RowBox[{"8", "\[Lambda]"}]}], ",", RowBox[{"{", RowBox[{"\[Lambda]", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"AxesOrigin", "\[Rule]", RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"-", "80"}], ",", "5"}], "}"}]}]}], "]"}]}], ";"}], "\n", RowBox[{ RowBox[{"g2", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{ RowBox[{"12", RowBox[{"Log", "[", "\[Lambda]", "]"}]}], "-", RowBox[{"8", "\[Lambda]"}], "-", FractionBox["1", RowBox[{"\[Lambda]", "-", "3"}]]}], ",", RowBox[{"{", RowBox[{"\[Lambda]", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"-", "80"}], ",", "5"}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Lighter", "[", "Red", "]"}], ",", RowBox[{"Thickness", "[", ".01", "]"}]}], "]"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"g3", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{ RowBox[{"12", RowBox[{"Log", "[", "\[Lambda]", "]"}]}], "-", RowBox[{"8", "\[Lambda]"}], "-", FractionBox["1", RowBox[{"\[Lambda]", "-", "3"}]]}], ",", RowBox[{"{", RowBox[{"\[Lambda]", ",", "3", ",", "10"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"-", "80"}], ",", "5"}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Lighter", "[", "Red", "]"}], ",", RowBox[{"Thickness", "[", ".01", "]"}]}], "]"}]}]}], "]"}]}], ";"}], "\n", RowBox[{"Show", "[", RowBox[{ RowBox[{"{", RowBox[{"g2", ",", "g3", " ", ",", "g1", ",", RowBox[{"Graphics", "@", RowBox[{"{", RowBox[{"Red", ",", RowBox[{"Opacity", "[", ".15", "]"}], ",", RowBox[{"Rectangle", "[", RowBox[{ RowBox[{"{", RowBox[{"3", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", RowBox[{"-", "100"}]}], "}"}]}], "]"}]}], "}"}]}]}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "10"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "80"}], ",", "5"}], "}"}]}], "}"}]}]}], "]"}]}], "Input", CellChangeTimes->{{3.531186184013064*^9, 3.5311862646028056`*^9}, { 3.5311895696351056`*^9, 3.5311897239505763`*^9}, {3.5311902261228924`*^9, 3.5311902779617834`*^9}, {3.5311903555719194`*^9, 3.5311904659109135`*^9}}], Cell[BoxData[ GraphicsBox[{{{}, {}, {RGBColor[1, NCache[ Rational[1, 3], 0.3333333333333333], NCache[ Rational[1, 3], 0.3333333333333333]], Thickness[0.01], LineBox[CompressedData[" 1:eJwd2Hk4lN/bAHBmGJQv2c2CskeLteznJFEiREjIloSyJMlSQkIIRYQi7Umy RuIou2wpsmSJhMjOjK33/N75Y+b6XM/znOes933O7HDyOn6GwMTE5IS//vfr Mn9GSf3WCcD0/x8L1PJ31D1O2h7YhMjYnWw/jl4J9GX1ZLiC27HL9Z5pZmi2 8GCsp/QFsCutRHGxwhRRdna9/9ftC5DW26WtvKZIOyBGsTHDH9TKFAyucpog h3qdZ0mOgeCqBrFDfMcxFCa4QLOVvgqOKVh5LVsYoy8F5o1JS6HAqo3PbzXL CLn07o5Y6Q4D99WDd/AxGaElZnZgWx4B0tw/FaVfOIoid/5koIxI8DVJxX9k whAJmVUUSV2LAslDNx0GvQzR84AUrxjHGFB0TmOMvnkENdcb/jKXjgeb9qkC 5cpHUN5lXlNblgRwXpPJM7r7MLp869rr+KUEsEODq/RV6GHEXnjSbaE7CRTE D7MXDBmg9rq6WqnGO6Dbcq0zL8UApfUqS1iX3wWfZsoPyZoaIDkC10BFRgqQ eqpcZPdZH80LBGnOxN0D6XMpeffi9dH7neOpO66lggHlbmMDc31kZPbRPNLx PvB/fjTi2Mgh5JXl32gi/QD8ICoJ/SEfQmpFI9JhQg/Bh7nT63f/6CEmF1ld G5YsoP0uXux5pR5qvJz8MHYpC+SXGNHeuekhm4deNnPdj4D9+762tKaDSGen dHSMaQ4Qz9Tmvv/kIBIv7C+VaMwBmuZvDCOuH0R/6o4IWJY/BrPJmh5/NA+i 4L8S7eUZTwEolVJZL9NFDgG9m+YCz8Cwjd52nXRdpEdI3D0d9wzotpJ6JUJ0 0X+CmzFi156DG3ZREtW6uuiB9vdDEY4vQY/IvZc5Xw+g6tjY98bSecDO6V/L MtcBVDnZ83nrizzw5E5oqPwyRBWHZQYa5d+A9CYV05YfEJ0iODLlCOeDdTCi a5gH0YnKNXEx0bfgHUeNYbs5RIb7FN2EdhaC/nuOl13sADr8q9vb370QXK57 yVOxDyCDu1evfHtVCORyPhenbwNIb7455s6eInDR30jlV60O0slzfc2tUgxK 9a369PfpIGXpjHk2UAp2v6rlaJPXRkrfdNdcQ0vB46iCGF1ObaQQMUGsqy4F hsnUUd5pLbTn5z6BCL13IFLeHXx8o4VkH3TsZzIsAy0cjzpl1LUQTZAthG7x HvhVuAxn2GgiVpIv24R7FRBQuM3U1aqOxo9c4154VgX+PjgsFFKmjpriYoU2 RqvAoNOLJtPH6qg+pvNO1F4EShxSnIIC1dEt3r85GS8QmORufdQsq474xSVq ajKrQbTmaNm3WDUkfSCORSDyE+AbWhfi9tqPhEbusN9//Anoj/8007Lfj9hv 3OcU+/QJaJxLCIs03o8mG57x72SqAebprGe8d+1Hb0w/SmoH1oCjHsptCX/2 ITWHFb0zF2qBz/xJ5soL+9CRa443ii3rwej0pnNvpCpSul2tn+1XD6KeVrCc vKKKaA93sMcl1YNH0lryfzxU0WzlcIxLaz2gNnrqHTFTRSmbjgl8+g2AyUXC 8zdNFY2GOKX7qDaC1vWqyfBSFRQa7Px2N38z6Hhf91eMoYzcYz/5kpWagdTW zu/vp5WRRYaECqtpM/C4J3HY9acykqkYKem/1Qy6W2f2jzUro9Y154pbxM+A vVVoPf6hMqIFudRPzH8GuvY/j7sfUUalV878eNLRCrK/7+OIfaqEnup4dFPm W0FmLWHP33QllEL06bjN2wa+tWVH2CUqIf+44Nor5m3A9HfKSedgJbQv+85r 429twMwstIjdXAmdGh2qDPRsBx1lznU5BCXUu5X7trh3B5i8uZ/jsrsiOv6X h9MutAOshjf9NHFURE3t/NH3EjpAdeUOTmVrRVSeTAnnfNsBDLX3EoT1FdF9 MenLy3Md4Ml0ykUbcUVko6x9uuniF+AYYvL5bb8C6rHx2Ot7uRO4Xsx4sc9a AcX8NPC8F9kJbon0hSNTBaThLvmiIrkTnBiauWt2RAFlXPkhzlbUCVq8KXuj NRSQQ6qJYMZsJzjbH8RjLKKAfn9T3qg99xV0yos90GrYi5ZM15vItt9AcO7y B93pPYjHIM61GnYDe/amjVCb3UjvRQWQN+sG0WzubzKNd6OArVPCyY7d4MOe pgN1cDcaajNsdgvrBiuZ++s0ZHajfGt2hW013UCyxDT8zeIuZOoezrA3+A4k BC6MlyXuQglxV2LXjXuAbU5Z6kSnPNr29UzB/lN9IJB1ZrjhkhyC0wcmLTz6 AN9nhY+ZHnLImyQq7hvUB7au5I4HOsqhDrWuxNz0PsBqETNsbCyHkjL1fXb0 9wGeZMLlE1JySOCsjMJWu35A+rfMNtK1E1FWx18P2P8AEdvsn5eBnUhiu+eL G06DoMivqC1RWhbFDuzIjvMZBGo6hhM1orJoOaM7NTl0ENikmQRtCMqiBvLB qCcPBsF12seFq2yyyJOPcra2dxBEtNx98nFcBp0iuiSF7RwC5u47Hh7OlUFP lnlMP2YPgevHz47t2i+D1H6cbz6QNAzKv6r7njoljapXQ42+po+Aw36SP6Lf SSK3qoaGyrBf4KfS34535yVQmvMzioDDb1DfQDzyz0oc7bYeXt48MwF+DZn3 XrPcgQYWTFrhkT+gefPhsH70djQ/SFYQPDEN2nRuWe26J4YSXgWetbKaAbJU 5ba9tqJImpvdOCB9Fvw9M3Nc11kE5c5efxr1cBZsrlvOO54WQUpf1v6l5syC 4q6H9hGnRBBInikoezUL6F+2p3aYiyBrarfw2vtZINgrezZOTwTFyDwdDemf BZ3LfRrR0iLoL9ALDheZA5uPtgtHTdFQiXfoq/iHc2BXen2edSgNxbyfLTqZ Mwf8GhUKrUJo6DTJsVLy2Rw4QuActA6kIfaMAx3leXPA0GvvC0c/GrKpJ6yM fZgDmU1//sS60dCmyA1d0D8H3sqpmx8xo6FDzdE9M8LzICb9Dpu5JA19lbrD ZpY0Dzif/Wvxb6eiIzLCaudT5sFomxnvpxYqqpTNdIu+Pw9mfxSm8TRT0Qv5 Z43Vj+ZBro39+eJaKrqq+P6WUuE8KO3x3iL8nopktUe4+b/OA7pM557DT6ko 2EJZuFtgAfAvXeo3ukpFkuGdsnZpC+D3oW15b1SoyLqAqOiauQD8C6ur45Wo KHZYWd0rewGEFO2t81KgoiVw98j1FwvAWOFT5v5dVFS3buH+pGwB6CEvrwEJ Kjrn3/VqumcBfJcs6rvJR0V553r2XKUsgsvWwb8PLlLQz1SO/TdFF0GuwXP3 0/MUJNSgDhLEF8GdnMhPwbMUFCp93+SR3CI4vEV4oWKKgsxGbLzrNBbBCZav Sua/KGjRtv8t16lF8LrONLSri4LUTQdVHqYvAkHv3Dql9xRUMc467fRwEZRl buN9XEZBOtd3PZHOWQTrooZDgu8oSK/gikDey0WQX/SRwFxMQcf4+ZcryhaB GUvYsd95FOT0/XBpb/ciyIyaubz2iIJuORSoC/IvgWvyLt3asRTExfg+1yO0 BFq9XpkMxFBQQuK/F5nUJbB1+vr+0GgKSvloRJGSWAIVNyPNGyIpKEvy96qy 0hJw33yUe+46BRWNUyvMTJeAlVae46w/Bf3wvqETF7sEapnHvnM4UxATQiKP EpYAqmx2+uBIQZLc6+sld5eAcebxm74OFOT+2vf9UAYehfCLmcN2FESfOK2m 8noJ3NniPPnFmoJ4nTWU+lqWQJ66kAezCQUdPjEjtZN7GTgMf1CP1qIgj8dy rDp8y6CkRrD6giYFxS+cGT0utAxuduxqOaFBQd8S+x8Fiy2D2Lpxb1k13B+t jWLte5dBjyv166AyBYUYPCZfNl0GE/u1/VPkKahA/eR/tYnLQJ0u9lCUhus7 H5NxN3kZ1KhosB+kUlDyywp5lzT8/HuVAjcKBQVQtxsSs5dB4ffKulJhPD4b Y5EH8peB7+DgiIsABTUjP6bK1mUwKVwdvMpFQaMGCQslW1fAl58ZT7mJFGTJ 9DEsknsFHFNHiqcIFFT/boHHkm8F+N+tmX7GTEEvd1opLFFWAAt7yLIeEwV5 bxU9ryy3AuKrubXjNshoo/XV2JvDK+B+rZuSJZ2MBC3re57fWAFC8R4udX/J SF/rMTwTvQLYFZ5OqmNfFr/+bEfcCkgFmjfzpsno+1+NS/fvroBz7wqY06fI KP1m3rbYnBWw3pg4EzpJRtvLkg28qlfA+dcOxqFjZGT60DdPvnYFVGZ9Y2HF vn7DRGC8YQWYS+Y1x/wio59mHCMO7SuAKN5xI22UjJ5MBl89PrgCZp/0PPz0 k4zkaC7FqhsrgMtHe6vhIBnZEA7Q5pno4EZA/I3BATK6NS4SnsdCB7Ks3uz+ 2FNF3aYynHRgla4i/fQHGb0xPjolTKWDwBurxbz9ZKRyTUliXY0OZkrTG2g9 ZHTmDHfMOy06mDt6L+3jdzJKOTo16wfpYMumj+c57BWhp5XTBnTwt54mWN5N RuX5ZJtBSzowFi49f7aLjMBPpsSPfnSQQ/zRMddJRtuuzYu2B9CBeHmPcTb2 T+po7o9gOsjjjZ8zw444Ud9Aj6ADgsyWvJIvZNTUEMe0N5kO+mjtU3EdZJRx 5lq8VhodnGLlSNXHPk/woRlm0sFQZpcrE/Y2LQu1M0/oYNxyx/nL7WRk+Ybi nV6M738jxHWxjYxkjTg3n5fRQVTTvXoVbMb4xq2SD3TwwOdO1korLl98+FlH LR1cfrKQF4o9nPxskK2LDhTSqXuzWsioQCntvEAvHXQSNbvcsSPaYtbEB3D9 YF3qPmxpjgtCOmN08JSPeqHjMxl5BquY+C3Twa357KP82Dpk6R/XV+lgexcB /W4mI+4SIY/bm3RQ/bPhaAV2wcxq5EsSA1hXhD9zww6PneJ/t4UBNq4H+ENs i50Dj2q5GOCl4xcbMvaKU3XlkCADHOoucWxtIqOGfwVGfykMcO2SbvhL7PsZ j3vXRBngn7bqu5vYWl03lwVlGICjxdzmEHbYkWN7jPczgGHcXZ+WRlz+GKiw 0WSAXu2A7QXYUuGKhm6AAVLOtgzcw26o4HcNN2CAnPzOm67Y90+SFhOOMsDb kSgfE2yP5ZXrD0wYgK201E0dm0uhL7PMigHOVNwK2YY99PmzfP0pBtBcVb2/ 0UBGb89Vln09jcufcf74BzuMlG/w05kBzl9IXerFtsjJ/jZzlgE+u1oqN2NL wTvOGx4M8Hxse1AF9nJ/xNwWbwZ4Rw76nIfdcMX/mrAfA6geGZd+hJ0m6Paf dAADVPb9iU7BfkczPfo3CL9Pvj47Fvu7uFp0yTUGyO7UfBiOTZfdXn81nAEm v41eD8IW3svOanCTAdQM7Y74Yaupzupy32KAOTu4dB7bSvN7aHc8AyyY77zh hu2Pj3wPkxjAP6KQ7oydYvB8/WwKvt820MQBu8Q4QUPhPgNMnyZH22F3mQcE 0DOxJXc9OfW/9px0KEHZDHDU+liODbaAw+HFqCcMQH5PDf+fVVwVlMxeMMCa uILe/+638BT2Jr9mAM5AmTFbbD9fprzhfNwflZlup7HvBoz/eVGEx4u4t9kJ u+hq+07fd3h+eF3+7yx2Z8S7sxoVDDCjxbfXE3s+JusJATGAZ/mDvb7YvIlR I02fGIBiWMJ1BVvpnveOO/UM8NpxuTkU+3im9elTzbi+MWuu0di+OTBToo0B XB2cBpOwE1/I9v35wgAZd+pVMrHz32wjF3UxwP2xetfn2O3FdMvgXgZg7GG6 VIS97WPDF86fuD0WsZJt2AoN+du+/WIAN3VK7Q9sk9bUY5kTDLBHygJOY8f3 ujXtnmMA4z+wlgvPr7whU/blRQZIdNjTuh27ZUxNv5LOAF95tPOVsTkX2D8e Y1oF2eIqm6ewdzFm/wmyrIJDr6zO+WAb/fuuPci2CsaqeXNvYt/a+qLMi3sV kF/WlZRgv+RJXNnPh6/vWQtpw24SuqLKJLQKRp7pUCewt0geeZsgugpIKe5d onh9RWlNPH+7exVc7H+kdxf7uW7H2BXFVbDEmv62ELv+cJmkruoqEOC8O9eJ TToRnfVFaxWkfiFMCOL1feP8ztSFo6tA9+XuV0+xwx6cu6nqvgomiB9kpnE8 0T3lOnXswiogXJg9KYLjD1HY2czNdxUwPfoWfOx/8SnRlpoeuAqEahqTCrEj I0zeMN1aBQNhf+aicHyLdlftbn61CsokRnkccLw0lFHS+vVmFUybVAg8xN4y uid7sxC3/9NDwiB2jJ2sh2LFKtgqk53siONtrCn1X8rnVfBhSPuOD47XCfuY ZZymV0Fi0O2wiq84vy1s3AqaWwXNdaIDHN/IiCd/dfbu0ip4kyVOtcZO2rlY Xr+xCvbvfbx/BfsO7fex3VxrYCDPchrgfJJCaPGn71kDEvsHh1dxPspsTa2L 914D78W+POYbIiNaGSQm+62Bw5FxNoHYGTnjID1gDRhrC/cNY6cHqJU9C10D rVpdGoXDOB6If3+FEtaAhkCC2+kRMkr2F0qcz18DB1p/k3/g/BsnmnLKcm4N 1ISaVLjj/M7JoZNqu7QGRhRfzU5gxy78+urEWAPitgXD52bw/GhQPebFvA5o /P9WPGZxf/p+g1E86+B3iepEwDwevzp+6XLFdUBECkHFy2QUcuHOrIjvOqgJ zz5U8g/390fFHwOX1gFj/IawLt6PCAu2Nz68sg76Rw6Ft2IXfeDM2XF9HZjZ jItO4P3LJGfkCamEdXD75GMXKRYKsn4VUL4rbx2kfzXuKWOnIJVxuwjNyXWQ qvpyyISXgv44ygqfdNoAORG/+GkyFGTj2Sfv4boBLuhNt/dgN/jHgxD3DXDi gYRkqiwFPbm16JrtuwGcT6nHC8pR0OliVDwRtgGGmtqdKbspqJP9pHlgzgb4 oJjzUhvv996/iY5PH90A6vvPm80AvB/emGQZcN0ERCOD9REbCiqfMpjhsvkH JJ6M0bmTKKhLSu2nhiQTFHJrqhn8TEFuO5333nnCBKdF/wyNcFNRteWpoAOi zDArPeOprAkVKVtPvuDPZoalp1fzQhOpaKjh4bGNR8zw+Nd4e68kfP5QP7Hw 6zEzzPU/U2J3h4rGKEir9DkzdJwQOqWeTEX3fyS3ncxnhkaDvPZTqVREcD6w 9KCKGVIcdC7CLCpqP58Kdw4ww3+ng6bS8qjIM1y/W5tKgL6jLULdjVREj+n4 TRMhwKOWI8U5TVR0I8mWviZKgF+KP3/wwuerB9m+5HJxApTLu0Ii4fNXe9WD U/vk8PXumzby+HymvL48uEedAI97uRKtu6ho1e/ZuJgVASokaFQq/KSiyGAl xqY1AQZXpeqMY/NFfOAYsCFAQgUf88MRKtp1p1Muw54AhypYDLb8oiL7t/88 hV0JcPM0Pb/7N+6vaau5bZcIUL9quMFomoqiXNlXme8QYGhRz9aUFSo60yjy gCOZANuuTJ+EdCrS3aWsy3OPAE+MiCdNYK/N2cVsTyfAl4VL79RWqehCSCEF 5BBghFHRs8Z1Kjpx114zuJAATbMZmkXMNKS0cnEwvJgAL3o83GdEoCEum+jw W6UEKHlVavUndoNYUfP99wS4bkXu5GShIa1XHLZlnwhQ1XQw3oxEQ+Ifi4KX OwnwCP2QauYWGvon2bR98xsBWp6+93b7VhrqvzlYw/qdALvqPL48wk4x3vKf QD8BHu7kpj/ipCGOntOZyqMEWN+ccTuJi4ZmZ7ZUei8SYByMrtvFS0Mtx7c7 BSwT4J+MMZc07JfFqqRQOgHe9/x1jYWPhpyDHI7dXifARw2Hd3Rhd5FKBl6z EOHtKON6VwEa+iDi+G+Snwhbpn8DTWEagsU+a22CRBhwsXUsCrvGKGylSJgI 3Sa1BL9hfw7KmblKI8LhTiPWc2Rc/55fg7ySRChqVjh8lUJDDj7LfStSRPhl xSMGYY+ys33vlyFCWbubz5moNDS1X7b9qTwR2kdyawZjrye7Iw1lIvwcW3zR gUZDobuDKsRUiZCncvp6MjZL7a13LPuJ8GjOlbkGbM7F3PxWDSJ0OKs1KSdC Qwm3PuQWahHhuNOBCyex+SVan6fqECFdc9+RSGza8ZksJ10i1Bo4zejFzpr4 l2GgR4QCb3UbCaI0JHl9W9oufSK0c/H5JYu9K18xcfkIEYbsH17xws430I3r O0qE/QZvxhOwVQaPRyNjIixgH6HkY2ty+V2PMSPC38hVbQK78klEiJc5EaZe 2yFKFKMhXe3kKxYniLDIQ0iDil339ckldSsiLF/yjVbENvQs8RE9SYRlNBsO fexWYv154ikiVDzzt8Qa+3h697lxWyJsbzO6fQ67S2n8TIs9vt4edzsA26aJ 7ljgQIRBB2uLbmAPOHLY33Miwi5XwnoCthODbBPsQoS/Wkyc7mOPJchZOroS Ie1k4Wg2trus5nF9NyKcld8T+gz7b9XRY/LuRMifU6H4CtvXytZwmycRehta LudiL//11F86T4TbO6eb/ufAyBDdXi8itOTwyX0p9r//c+J1qnyI8L+mhntP scOKH2g8vkiEFfTv0VnYJOM3+6Iv4fr4hV5LxY4ZrVK6cJkIw7jTLsVjcwW3 7zG/QoSeoStuYdhJfMNyakFEeOuUh6UftuCrOWmRECLcSqrScMG+r0uQIFwj QptXpbzHsUV7ecV+hxKhsJJAnzb2Ix8J6ucwIhxVSEqQwZbmUBF6G4HrPzKy lxv7ZZYeX0okEV4RKS9exOO3R+0Ed1AUfr9uleh37IK2M1sdYojw/r7Us2XY ZZuRRLl4Ikxw1r51CTt+bsed/Ql4Plh37DTGdhqtED+URITSZ/6piWNvaZo/ 4JBChHteXLlXg+ffQEVcx/lUIrzZ0fMjEbvwjaxj0H0i3N2yFmaLbZtsH5ry gAhnrpl3T+D5rhDF4H6cRYSm906F5P5vPQTdffj2ERHqUZu8PLFfOzRVfn6K 15+CuMwoXk+b8vs2CG+wWdttCvD6+yLaEbvtLRG+HrUatMd+xuNJEy0kwl0S 89Hs2KYr2ZrqpUTIIhetbY7Xc/bH/wK9qogwt9c1sVaIhvyLn3OEVBOhc/ZY mQ224fODaTGfiDDwdO/glCANzcddefekHvdHqSA3O7beyV/LfW1EKMh29QyZ n4aEjUIjJzqI8NH2kNFkHH+mdKiCK51E6BTXo8qNnSxppsr7nQgVcq3V6Tx4 fs5UXDw8hMczpVMyh5uGyn9aES1/4voVu6eyYt/+Np/kPEqEkewP8l1wPFR7 L1twdZwIz3qIlwr/R0PRkXdni2bx+pPZ5meF4639lb2hH+eJ8FOZvssDDhzP PZu42xeJUOeLf8MwOw31mjHt/UPH8cMjptOODa9/Ec/zO5hZ4K49MgfkcDxv LTw4GcfDApnGHYu4NqgoTLvoVyIfC7xbTrUQxfliX73kcLIAC7wTVrxDbg3n x17W75lkFqh4/KL8PgYVnWduqH29gwVWgMtqYktUxGlilN2iyAJHw2JZ9k5R EfpekdGhzAJbfQ6pbU5SkZ/T7tRvqizwUs26dOMEFfVf4rr9Q50Fah5NFTyO 89+rjPbg6QMs8GyPofNenD8NJy2s/zvOAkWdbLK3dVPR5sVacx4LFkgf2lp3 7xsVFWyomghYskASc5M45SsVUXiE9EVscPnRao7bOqhoYn+P8m4nFljDo7ZS jfN91A07bmNf3H7jfG/FD1Skxd26xcwPO+v357PvqWg2VYd0wp8FRmUpN6eW UZFVrtiGbSALLNfIvDFZTEXSncOTnmEs0H9LQcdRvL+o3e5aF5vEAue3SQSs Z1LR9sEO8oW7uL25u7g20qkoMFP7vEkKC6xtojnT06hIgSLAz3ufBTb19UgM 4v1MBl+N471sFqhCs1jwiMP9QxLfyM5ngb7jsUKBQVTUVhNnGl7AAjv0TZnE r1CRXDgjx6WIBQ4MlJFq/PH+6V+7ocw7XF821gPLPlRkxLiWmluFy3vxUpXX jYokp34ol7aywL+VtVRRcyq69vLIzdR2FvjyuXuikykV9boV9175wgKt1xnu WcZUlPAr9rpWFx6/1QdC7IepaH1As636B26v0u/ZG1pU9LUjzf3zFAvUUUrm VJCkoojSE9nDW1hhhkeuee80BSl0HI36w8kKG/9xig1PUFDf5AGvJS5W6FY8 +e/HLwpSEt2jzcGH748VeFX2g4IGI0g9ClRWuFGWoraM948ax0u3hcqzQoUB 50mvFxQ05vF6JXo3K5R5PG7V8piCEm/kDNzZywpPFqY7imVR0Pi727nPlFkh RePDcFYKBSWLuR1u08TPCyS/FgynoNkp4VBRI1bYe+m3UvFJCsogcZ+VPcYK ucYCk00sKMhgO+sxJVNW6Cvu395/jIIemM9R9S1YIX9+w/G2gxR0tLyx9Lwt K3xt+I2DB++Xn94MnKnwZIV7lgQ3J9bJyFa83/5UHCs0esVHmUvA51Xvlkzd 26zwawp9QzSGjJirKvt3JrJCJeEeY+1wMnp6KtuGfpcV+t3MuG94iYxm77pa JmewwoTbVq9zrPH5jm3OuO0VK6QNDOvuopFR14mfsSWvWaH1L5LKMX4y2vm4 sznzDSt0Yrm3ZsdJRq2w5IhnIStMWUk/ob8ujIQDgw5xvGeFTJx/2FX7hFHu FKv2wSZWSPWxXLRPFkabGitBcp9Z4buIKy4GscLILHq8nKcVP5/OdI0SLoyW pZrVhjpwf77LabvmLYzg6QSVkB5cH0lyIDQUxuNP2VU6zgolZEe2uTCE0FrJ Xqo8GwnObU0OtNATQnsylmvZOUhQXJgOzNSEkMP1D95jW0hQK4JlXWGXEKo5 erQum4sEIx8eZE3lE0KxQ64+woIkWHzPsH11SBDRtjyoZ5UiQZ1bT9w+XhJE x2ZcfEekSfA3D1Go5qwgCv0qL1ItS4K1PmFtj04KotEHZb7Bu0jQ6Ej/6yUt QZSr/E1kQZkEn55zHRtlFkRadpx+Q7okuDFQZXE9QgBd0O0UrdQjwZ3zKXwi fgIoS+Z+Y7o+CXoX/NKMdxZALPMyYlaGJLj6IjTl7wEB9DnyYFOLGQlK9WrH 3FvnR7b5gdvfO5Cg2425WMI5fhSffKA51YkEp57NPH19gh+hQHZ/fxcS/FJY vEtSlx9JHkppVnQjQQ7HZ3e8Kfxoquet/3MvEtwze6bYp4EPBRMnPidfJcGJ YgN1BzIf2jyosTUjlAQjWiusPJn40PWIW0cehZFg+VDYJ7nfvCiSdU9dXiQJ aqiUBJUV8qLbbBer6uNJsP1+SD7jMC96tHXjLeMBCaqYOM3XOvEgSaNjs/+y SLBF2PeMqR4Pehb7cA8pB49HwI6AS1I8KPc/3Ve8z0jwT6OTWdTYNlTCffOx /BsSHMnZop3hvA018vHcs6vC77fbO+hwmwsZWTh9c64mwX0xfO6TB7lQ691C PvdPJGhhb53msvIf+iJgmeBfT4LBhV8+CJz6D/ULpUffbiNBSdtJ+TZ+TmRv PVWf3EGCWw7+bdRFW9FwqjYpo5MEx27yzgW4b0Vj5KGw590kSEqSruF9vwXN UqWCqwdJMDBxLkPTiAP52vqX1w+T4MdtvxuI0+xoKaOe3jJCglHCjTYnYtnR qoj7pd7fJCj66YyEXx0bIm5/c2FhhgQnN0/8yJMhIUFJdUcpJjZonWTt/jyZ gGDajRV2Ahus6JJ9viBOQOe4vsRNEdngdxXLQo88ZlRBdy8vZGODtPZ9QaVV TMipJYNPl5sNolCCCFPyRlWs7sQLKR42GCr5b+vU7fWq4lJVyMHHBqPepFz1 i1yrYn/U6tkuyAYd+EpTps8wqvL8mersRdmgd43+uMmfxarvf4xsdbfj96mb /lysWqhidkyblxJng8/vORTp3p6vsjiqJDYtxQYPm25kGYrMVq2KuQQE7WaD Q0FGjejXryr9xnq5VC02yPTKeiriwGPgrcNfHaTDBuGSXX1/YTVIK3SwOg2x jzq4uaa1gqlMRri0HvbBAz+OpfWDJF/5H0VH2aBpUmPXTf8pUPH78sVUYzYo 66y7RZc8C37Z1nAEm7DBAHVZ3SbmeaBmYLfvoDkbTJX6pN63sAQGqLdvd9jg 9vRGfU503QTsiX1SxbbY82Kjr82YoCJJtiLVng3qJbL7zvszw4hZNH7aCZen fMdBqJsI5WrnD/w9xwb5teYnLiyxQwsN8L3Dgw3WpEdX2R7fAkPe3LpQfJ4N ZgRVxYS82wrb0yTTg31w/xzUyW/N5oKXL1gubrmCnz+Z+I0jkBfS9rk0SAex wUnjRsskTz641Jx03SUY98//f/jh/wEp8y0u "]]}}, {{}, {}, {RGBColor[1, NCache[ Rational[1, 3], 0.3333333333333333], NCache[ Rational[1, 3], 0.3333333333333333]], Thickness[0.01], LineBox[CompressedData[" 1:eJwdl3k8Vd33x1XUufdcM5FM15UU99xrnpJl5lYqmUJzRAMeZXiKIipFipRG JSqJypgpVjRpIJUGQ6WkzGTqMX7P77f/Oa/365y99zrr89lr783eGujsM1uI brOEhP7v6SvL6UAlAoT+v7lg5155rWfKBLw655ZT5bkOB4JeoTaHgJuJwcbj dmtxbE+UW/JiArjnh37POK/G6Z36PWNaBARVhopkPVyJIn6/ozfwCZi9I4tb fU2ALJ/LcjX6BDA38kd1vjig9NY1uZomBLje/1itvMUeFTYJWyeaE+C5Obgw U8EO2d4ln4YsCSiKDdz5acYGNdfvDlhvR0Cz31Wv44QN8txUhasEBJhoPV6x j7JGw3XvL6ivJmDQKMGmbLcVmq+J451YR4Bdrfz7w1WWaLNq2ZN+dwI6jvTv KuNY4grBgKerNwEN+w2ifpwDdLbPHCjbTEBP6MfA4fmA6208jqr6ENB3jpER YWOBmy1Zikf9CagMeK9QGLAcdyzHvO49BDjcNhTSzzbHALN99muDCVAlZVum hpdhiLFma3EoAUqz2B83rlqGEQYtwYoHCBB2rzL+nmeGMbqnicOH6HjjdPLs 2GZ4gmeT9iuGgO5fis9DLpri+SU5tfkJBGienBk/dtMEr2ps3iSfREDK2s8b W4xM8CZHZiTyLD3/h7OnG+uNsVApQtUxjYAX+wYSD0kaY7kCv/judQJsl3uB WZkRVsu1r5C5RcDFFPPo3B1G+EZyZdjXewQM9MV9WFFviB/FhERtCwnwk+8X /RxniF/IwuvZJQRccG4UarU1xB4RxbqQRwQ8G+BucK81wKHZb7Y1PyGg7uNl t62nDHB8JuY/eEGAetdpIZaHARLj3eqsd7RfbqQ1nBnQR/Gxq2X/fCQgtMC+ XAP1cf7wujUfmwnobNyv9ShJH9X7yg9cbyeg2GB5Q4qpPmp1B0oSnQRUjHo/ TZXUR93fnFt7eun/C/nP1aBLD+F7/FvjUQJeL1zk/fuqHtp/tfBLGydgu0tI aWOEHjq1DE3NmSHgeXSBqaiXHnp/8FpSP48BS72cC+UX6mHYC60onwUM0L/P OS6apYvtg2E1S5QZ8HbMOys6XhedFzye26fGAIsdUonjgbqo7ed9MlSbAdcm tynWmunihVNZb0x1GBC+QqZnHkcX5z4Ylp4xYMDf0ME8JVIXv4mcvHjMggFR P9RLbrXq4Cru59YVNgxwzS3hMp/rYJnLIraEIwN25Yj0qxTo4NmMh7fOO9Pf P8xVtI/XQYFlX+FtHwaM/03VfGalgw/8TP/u2cmAHzHrrs3R1UH100fNdAMZ 4DXQdRPZOjjzRbm6LJwBvEuHu7Nm62BhxOr6l/EMcHbWMH9Qy0d25iWp06cZ 8GgxLj5QwcfEl79cXc4yQD7J2zftHh/9FaJaWtIYoLZ1/PnIOT4ql9zv7M1j QJuDanKKPx/jv05q5xczQIM4vWl6Ix//znUMCi1nwHwdhQ/3Xfj4zrVtdPox A3JKgtM6gI9xQ5LCEp8YsFwjtt1TkY8jChvt37cwwDvU6kidNB+3WmWfON/G gKtjGQ37ST6aJ1lJsrvp/t//qewd5eEfaq+y7jQDVDu252WW83CTW9WW0dlM qHtjWYu5PHwVSd4om8eEa9eChY2u8fDWqwwta0kmCHdKLdM8ykPvne+NXdSZ YBvu+fSLKw9rk1Qj5JfQ76uYPgkCHhqW7q5q4TIhb8WczsMWPJQgROx8jJgw K2LA03opD5/cMFgXKmCCwoHMld9n81DMgV3a6cSEtRPeNZbjFLp1sVQ2rGPC 5qiikMZBCn9R7V3W3kzYdHv2dEobhYyS5MOSAUwIkDh+xK2GQmfPg79jg5mw r0s+2qSCwouT/k5/Q5lQVjPl71BEoZalpcLXQ0xwckXfjlsUrnrRn5eTxISD HWYq5CkKz+1ullM9x4SwERc/g+MUfhF7FnnmIhPUxFRmHYmhMHBdmuP+DCa8 Pm5hlhROYVLLyjb7IiboSmclCrZT2HTQ2L68lAlteWW98ZsoVGOr51KVTKh2 f2TX60lhgc9EuOwzJvx1q4gXdaawse+2xI9PTIhfU5tfaEmhctLZULdWJjwY fza/w5xCX73olto2JkweXLJQz5TCsTCPrPtdTBjV8J2vrEchKNiIqfczYedD U6VyHoVxFbx9qUNMaBkybv9Hm8IFs+bBwUkm7JKaPbhUg8KtGX9uDAqRcLJ2 r7c2h8Js2y+kjwgJVeGG72xVKTQ7UfRxhRgJN2QnHKoUKNwgvT1wgSoJv6b/ u/ZIgsKbRasbE9RJqLjLTQ8Xo7DP3cxMaAkJRk+T821YFB66LDXvlw4J78SL 8hUICp8vn97taUhC0Pifcc5cCiXaOt++NiWBay+YZylMYfqiR2mF1iQYmCfo FglR2PUsR1jTgYTjyVUl5AwXdXee33lpJR2P7bGGfVNcrLkbaHjYlQQ0KbwY Oc5F1lqvyyPrSVj2oqZS8T8uugzZzfbfSMK1m1ner8e4+NNIuW71DhLmJzVP bhnhYsKptU05u0i4fLe9UzDMRf1fsR2MIBJSrMvvWA9xsXl5yR/ffSQMZh4k Vv7h4uFz3dM14SRMWgQ92zbIxaV9yiQ7kp4/tuf+iQEuNtg6yx2MJmG9yPZE 7Oei6kgJz/gECeGvrNd49HHx+coes7OJJHhVFL8q7eViYKaKw59kEibquXuW 0Dx/0tlldSoJEs1KQrd6uFi57ujmnEsk+B3tctGl2fdO6W7GNRLECr6Zvezm ouic3nDfTBKKRXSO/kNzoafqkZosEiwvdIksotk7f12Sai4JIx9GTv7s4qIw 89iVyDwS1u4V/5NP850tZbebikigEmvmnqTZubS3yKiMBM0Rv/S9NI9LsKtT KknQOKZ43pfmdD+XusFqEqYfVDzyodkBjzU5PaP10/s5EkTzgFx5x52XJKRf 7mLF0Zwa2PeHeEP7I+DD12yalz9jz/i8p/Uc3urwmeYOZVey5hMJHpvGVKXp eE+GxsmptpLwYzTDxoNm/bpyTmQbCextyqeyaG5Z1M9r+knCQvHKljl0PmIi 1ZYZdZFQlxHO3Enz0kZXh5Q+Ws+LX0aaaH6rfdxl8A8Jnh1ykW50fvfHVmx2 GiMhNv/bwRaa2S39u+9MkFBpdLRpN61PULzbER9hFhxX2qSSQ+sn/+N4UjXB gsfPO2o9aX2rTB9eURFlgclY7xppWn+xLk7xZ1kWZFo1RKTT/ii2dK82VGBB iKjsr1DaPxsunKg7o8wC8QPXS1xpf+U4DHasWswCrdXX2bxRLjreqpSrNmbB P/oXZZxo/w5MD3JUzFkQtN2katcEF8+7LeJHWLLALOTKZNIknS+RBAdDAQtY 6PF6bJqLsdvX/5vtxYKrfjFaGvT60a5IODJvMwuSZL3rjohQ+E4ak7ZvZ0Gu xbhDL73e1Go0spX3sCDyRU3AOwaFyB5uSj5Ij38nijcuTmFdRlWKUwwLZprE Y0olKWxeFO/EjGPB5KJ3K6OlKRxdolYdncSC0YYFbUvkKOTqrrkdlMmCqSDH kBZlur5a5YQ5vWABuhPVBXT9yXocpsOsZ8FD7oHH/ToUFttZdz95x4JlE65f dfUpbBA0bTRvZYGujapUnTGFxDrCTnuABYFzv/m6WVEYsm27DHO+KEi9Xhpz 1Y3Cwz95dU8URMFITvKezXoKT++YOBatIgpXPLza+r0ozNmVPPFXUxR6fYYU PbZQ+H0vfv9lJgr3kz+7BeymcE2sYt6TLaLQunZv3g26fi+98X5VdK4oNEaI w296P5C+brG0J08UThzJ15gsoXAyLXuue7Eo3CBrRqXp/aPufFSVdpUopLzy 0ltdTWFwgrbOpzei8E2902aojsLSvbEyvGFRyDxXYN/9m0IHK/3mFlMxsK6+ N7VThYc+X8/4GT8Xg4ggvVnbz/KQV7Ch8+K4ONw3bGq85MlHz0DmwYIzEpC4 Yi91eYyPRze7Nk+pSEL6merHnik6+G/ajW6lEkkQkZIqFbXXxUajn6vV7KQg /rxO7MlhXRSLXBjp1SAF0T9lvv/I0ENxcfcNO/2kIUS45F+dHfr472R00oYR mt8UN6eyDTDbMD9cI1EGHpreFcrpN8BSxc+a6uqy4DIwUpT50BD5G/u1596X hUSh81AQZYSBPcz2h/bz4e/WpenG7sY4/4Ns//rG+TDP8MXUHDUTPMLSyH0Z IAeJMYN1HkKm+LZPWz9YRB74i0ydJFtN8Zg2R3wqSR6OrNwYPCfXDIUfKF/Z sHQBpLlzzE6eXoadlxmHrpcsAM/MOWEffM0xh+peomijABtfmQglmC5HQ9G3 x3Y1K8D0gqtKQ2wLXGKfZXLVbyF4Ds7aEThhgT9ex6RlzVKEcy7n127aB3hA yO1VR6oiPHWsINI7ASMS5ZwY6krgW7Hr9E13+n7i/+XwrAoluMlSYt6ot8SQ qynkF0dlWNV9qd0GrDAm2nJD/3tliJNzP25yzwrX3x/a8mGXCoTeaTxkqGmN qaZny9L/qsAHz9091y5YYz2hvC3dQRX4g9aharI2OFetU6r9lCpEKS7/Ohpn g9pJvMWPGlUhyz/ManzcBotu/pU5zmbT54sxHU6YLQ75l2pb+7EhdSymOaTb FlPeTSr9LmSDYPn4ygl/O1Q/U753sZAaDMpzhm922KGfUPCQh50aLBW5EOnu ZY8SMndWhiSrQauIsKNDkz3uaWyuj/msBrNNp8O01jpgSc+xB9oqHAjxX/VQ /KkD7sguDsedHJDtWdUIto74QrZ1m10eB27nf39tV+GIXftMBdH5HGhvqZvy rHRE5vtUfkUBB3wKRPQD0REFyc5TOsUc2COzpiD1sSO+FHt+TqmcA2f2w9Tv V474al5B7fBjDmwT/vgwodUR6/6L42V84oCjhVLPp2lH7PPokP3ymQO2k09/ 9AoJUKzEelK+mQPf+Olts+cI0Cl0+nliKx3vkx/92vMEWP9n79b93zmQLxzv Fi0uwDfdG8+u7eFAdVbuCi1VAQ4IKg4k9HLg5bLpG6AmQInsBVuf9XHAbk/w XDd1Aa7xe0+ZD3IgILj6c5SmABvaHZ9rjnIgqrKr9gNfgH+sb93dNsaB4Z+W rj26ApTKED6b9pcDZSuKO2YZCNB5S9UWmQkOGN4cWsg1EWAwKjqsnuTAKpHy KiszASar7KdOTHHgQNhlfw9zAeYf/CjzZJoDbrqpCwIsBPi2VX9iZoYDV3Zl 18dYCvB/IhtOxQ== "]]}}, {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[CompressedData[" 1:eJwdlnk41d3Xxg2hojLlKZ2JYxYJFYr1lSFTSimSVDIVoZ4oopRUkgyZyVAZ KkIhpFrKI1OmCmUuJPN0OMf4O++7/9nX59rX3vta677X2lvC3uOQIxcHB4cW JwfH/81Syg5TZt+dgOP/hyVWfKWZWdHOgn9D3vDCCQtcqXwfSKP5wFrFymN+ Mea4PrIob23bTfgyL33kh4IZPsJQKg8tGMwaxswpl0xw67jDgxXnMAhaeL0U SDPGzvXJy4utkXC3zWbzI34jlMpYs3N+IRoSAu+pLkjsQzdtr/Nz1HiwTdRn rbI2xNffep7O6CXBJM+4DGQY4LyrWcekcwo48XxZCuUzwFTOjuA5gzSwKhR6 a3ZFH/W/REjPtj4GR6fVmTUMPRyM21c+c/Yp8DmfLVv018P7Dku20wvpsG80 /7zZBj38uuASNUF9Bs/2fGf4GO1F788UlfH855Bd5OZzfUwXxR9+qx3VywZv itpUa7wu2isQ3MPOuXBKXjjNZJlArgXfhhm/PCi9fj3Rv4jAbz1HyDMG+aA9 s0Vb6SKBV7L5S6ZaX0Fo3PfNyf2AJpEDvFOpr2GLTtiFa+6ApCvllpNnC2Dj BTFRk0UdRL3LE+MLhRCeZGS2XVoH+dp/yY5SS+BmYvJG0tM92IbvvEYGS2A0 P8K0w3QPPs+I+zScXwqOsknL7rO70fyi+ckhvTKQ4Sv45nx4N8asKY354/wB Ttht5uqU08KCyyYX/92E8HGtPMP4tyYmDe3aPO2H0Ebz7L2XoonujcLOUwbl YGwUJ6hK1kThpCquydaP0GtTEMKjqIEL64ueee75BPf6uXoZk7uw78aTgxOp n4D4+6pZqXQXFjlfSx4/WwGqHTaOuua70EZNXWts4T+4/J07oDhwJ6bVpFwY plZDALfyxk9bduBMXKFC9/1qGL1Za8YcU0dD59rfzaxqELeiIt8ndRzhnjtS +rUGThsbWMSfV0cNbXOt4Dt1EO7tWvWtVg1D+B2m/Wbq4HO9WL9Muhp2/fDJ 9jz9BSJe/h2VvK6Gt7zTKda762GoGtx4dqhhY+4il+x4Azx6lV48l6mKwrDG bp1yIyhPvtHaclsVd8tEad1xaIQHeczPlQ6q+GDm2bRvUyP8kC0hZdFVUT3i u6P9iybIC7MJ0MzcjtdrtppsP/kV+jwSXCQ+qWBW/huZF9Ffob++deBUlgo2 x+3llq77CifbRnSWQlVQytm6bJPmN3hulJmob6OCNdy3lDlEvoNfM+12weg2 FNNuF26obAE5ix8XTvorIyHlNG601AJH7sVsb7dQxrP8k7Uf1VrBOailsFNG Gct+8AYVpbaC1U6qwflmJbT3Vp175NsGY5evv/DapoQvc4Pb3ZR/gqGI85kj K4o4JDx03+T0Twgf/0OK71REWW8THbmon1BXLC+8s0wRU/fwp/1m/YQ1Hiec vH0VMbL6vpPNf+1gozVrNjqvgN6/wyb32XaCXHHLu5drFfCV4cRj6bBOsFSK KGeMyuP4s4OW3B87gXfAozWwSR5dPIXevJftgvBrH70uxMujzVKk347pLlDx aZX12SqPKfy1gUIGPVDzxrTT304OdbSv2gbY9YA0X+rWegM57HBX3DF+uQcS Xde4WSvJ4abmkIG65z1QHZw+88+SLEbEmRnfFeyFLr0ad5UUWQyUrl+/0t4L eS4NcVqjMugMTfEjF3+DNWa0fMuWRo7Hs6XtIb9hsZupn5ggjXGrSB01T39D wI0D5XfvSmNVtRPlWctv6DjVf6zVQRrlLBcfO2r1QejLXw81qNI46CKb3cXZ D7OuDt1vE6QwoNbsyxfxfhAavtD8+Z4UblK+OFam1g8tKtcNGL5SaDRdppLo 2A92SRoXXx+Xwmf+hwqtqtmNQCMvrIAiheci/d83hg/A1PLG8/ee05GL8bj7 w7MBcBc/8SEkiY4JVlUcuR8HYJDjI+X5AzrWkET0QmcGQCj+KZ/2v3RUzMz6 bGz9Byhn0ssLtOk48vZr40fqIOg2pR4obpVE93753wUv/4KQd61XLEUSe+x+ rC6v/gv86qv39glL4uG2u8pf+v5CqfN6L1M+SdSo/ePTLz4EI0sMNZcJCeTO TxcUuzMEFTHhmt8/SWCcn4TO5ZPDcP/frqiDHhK4drbxTKDvMNzNKnRQdJRA f4+A4LDoYXAwsPAiH5dAe/vub5m1w5Dia/bEcJ8EbjV65Nq2awQkewnrLJoE lotsjtcUHAXWjdTxwFYaqodWvTdQHAWV+7dD3tfTMIP3Sp+F4ShsyFCvWVdJ w/uslm3n/EbBU08o7m8BDY92R1UmDI7Cr3e3HSMf0nDoueDMAo5BvGNScLAl DddK3JLt1pgAw+gCk/1VVKzaE7HtmsEEHPc4GKBbRsXb1sm7yIcmYLSNFnso j4pc4cX7jrtOQPf9U0U1cVScXx5xbn00Ab1WmdPrXKk43HEkq4FrEnbqKp9/ K0rF50z7PPcNk6B+fDHj7Foquoh6Fq8jTcL3WJKMKgcV+0zvVZnumIRUvR/H hEYo2FH6fvCz8ySEO53wXPUfBeviZOWxbhKW3sopPbpKwXsF6ttP/piE1Xap pl0XKWjUqKu53D8JlFdbzu06R8EKPlvjPSuT0K+hQtt+jIJl3uFni7dPQdm7 sgYdDQrmWLKe5cVMwcaaZeHMeTK6efK+OvBkCtq4Zsetp8mocF+kdCx3CrK/ dzXQRsiY8UmpZmv1FDj9npeY6iRjsqr9UNbCFBg23++K/UjGB4K1CmmnpoGX 3jTWEkbGkl3kQnP3aZASMNC3DSZjn50HLF6dhpH0KHvWTTLuzhGxtIqdhgct WZd8vck4aGzrv65+Gg4szByLsiOj6IWXfG/bp0EAHp/8Zk1GiOOIdPk7Dbei uhUUD5MxZuBpxqdVM2D81CKaZERGvcDRBp/dM2BSOmDHr0ZG9+dgI2s8A8ol ZPVlJTImNEX0fTs6A3b1je288mScoO5kbbs4Ayq5GUrHqOx4yq5JDmTNwM7O /IJlATIyGRu8DokxILf5cIv6CAnpZPuVFToDOMt8Ii8PktBcvyA4ZzsDtDd5 OtX3kTA90jp59X4GPDrvMPamk4SHtqV9fh/IgDzzY4WXG0l47ei0hVsEAwa5 7ztafyGx69ugY3MKA6I3vD5jVkNCjrq/E5dKGVCQfGXwfAUJc1xUxRUnGaAR selSVAkJ28JuPW1bZkB7V/uUwBsSrnrTonxbYBZCcuw44wpIaMNzVa9XdhZE desu9OeS8PbWL18e7JiFhtkdGZk5JMw/TLXeozcLWjq2G/xekHD1409usXaz YMfKkDmeSUK16o1z+m6z0N0eneWYTkK7CecbUz6zYO70nffmExIW6gjE7I+e BdKTKM6JFBL2ONrRFh7PQmId+V/dZBIKhOY9z8qbBf36Na5Pk0ho3275gbtu FualK+OT40m4NrH3/IUfs+BZFCS6J46Er2zcSd0Ds3AryJY+FENC7p93fEo5 5+DQg4rcy1EkzI4XlZPbMAfEcB+v1UMSWh5La4kmzYHlNq10w0gSPm0rVbuw aw4eKQu6HQ0noVncvl9d+nNwZ528h3cYCWesvoWbHZoDmVsZ7hkPSJj0z2ko Pck+b6O09UAoCQ1aR0dlz8/B7PCpzTvZPBbjmxTtOwc6D3ekRt8nYcxRPlPu u3Og8fLRz1Vs1hGLYnlGs9fzXxUFhpBw4Dstq+vxHDQnZksKs/lBdM5Rs7w5 0H3dK5B3j4Q7j2jxlL6bAxGdyjMn2Nwl+vm1bO0cADGyUZzNd74dto9um4PN GtzCA8EkVInqEeQemIOF9lbDcja3HT7/wXN6DvLbDj95weYAkfnzXRxMiAz3 F0tns9zX2ySz9Uw42n45LIfNjZEitSVbmJBSeWOpgs1XDqX6yMozQc5q9sAw m2nCSnLRO5nwysTMm8a+v7qppIVLnwkPf2485cDmixGGQZ4WTBi7xrFUxGZx i69qXXZMSHj1bc8mdnwfBU/9MnVjQsYbrw132XyucSS8xIcJ92x7HXjZ+REO 9wHZO0wYKd+m9JDNpQd4x6KimCAs8dBamZ1f+w0Pk7geM2Eo0qq1lc38DVRT z1wmZLb+ig9j61PwIJvVWcYEAWpB+BG2frbmmlmmNUxQaTqTLc/WN/vLIR7Z fiYsD+7ZuBjB9kNo9+uoKSboHBTRn2f7YdHMzZ6LgwWb3koc52X7Z39d0IdO cRb8XjblNWL7azZE2N1UjgX3DVr8/GNJmGyaQirZwYL9PF6pyPbjWE2xT9RB FgQeayjwSGTrf89AjsuOBY4uBXfb2X7WMWlu8XBlgXsgR6Ml2+9h1cNqprdZ IDwsHuCRxtavijLGWcaCVVkWXXpZbP3uvEjyqGbBfFFVxebnbP32aZh2trDg +aB/7iK7/horLbKKJ1kg2pV5/C+7Xi/8d8veQ3YeUDkn3raYhJQ+Q95ZtXn4 8DDC9GIpCWu51jz3I+ZBrsaPEVlGQmkidDL42Dwc+5PGx0AS/iiNDngaMg9j Bxa5d7P7iW5eRvKP8Xm47bo58L8udnz1LntPLc4D8+KpsaBeEiaOKgwMrF6A HU8p+QfZ/YuhkKs0I7EA926Vi/EMsftT+puy9ZYL0KVQc2yQQUKhxKqfesUL IKfh+Th8Axnfl9y7VlOxADVtsVJTwmR0bTOTtGhaAFHVta4nxMj438ams3ZD CyDAWSBhQSajT/gP5hXSIgSSJ/dmK5KxN2hI7GXAIpzdfalX3oSM+Z4ChzcZ L8GVQkX1NQ/IWJcg4pNzdAkODh3zZ0SScaBCPGWvwxLYmOsKjsSSUXyz/LDb 9SXwzjYanUsj461yg8DywiVoNvbwDy4i41Hh66/PSS6D8PrEvyG9ZJx/PSny bmEZupTH1zXqUFC0i6l5aM0KHNsvumlGn4LKqzlO/RFbgWaNnMMSphQ8Y7s+ W0h1BZKcFSDWiv3+rlLUd3JZgUuW8msmPCmYfMTh0obvK4CXz8abp1Mw7arr kIoVB8GMkFEOYb/3KriGeecEB+F9ot/SdAsVcVUWT/cZDoLw6MkVlqRiT2gf LdSTg+BdbTpStI2KlNQTVn+DOQiH8zF9lqZUTKg4UJFWxkH05NaI/gqkYuQ6 9WRhSU5iaycHkuapeDNl0WJmhJPQ/XeHCIc/DQ+qFF9QnOYkFGJmvcg3aEgp /zfCnsVJnNxkW6IdRMPSX0ONjTxchGWHxM/boTSckv5xIIfCRThdPWe2O5mG 9tmF+50OchFq5Vt0FZGGuiXuxm2vuYhm4WQtcV4J5PjaQ5T5chOJ/Nx/G+Ml UOaS0xVLBR5id73xIPeCJPYxYo/yv+MljhcPNs85S6FJ/zn/yAuriSc3+LTK RGXQvC9ckUJZS9h6ae9vbZHFoU/2AVU5/MTEbZr6lQh5VBZqIeudXEfYpNXd TbqjiGuBcbpjej2Rai7vWOeuhPtGbeYkjwgSOiFcAh/Dt2HbRwdOm61ChHtb XmxyhwoW3q2wozGECBVL238W+7ajE49XT329MFFPO8iluVYNz1y8WiiQIEI4 1vnezpdQx23OivVmp0UJ1W5lsYcaO7BBeCu/l+ZGwkFTrV/JbSe+fXkzcSu3 GLGHWp+eFrYLr3IqHKzrFCM2jtWemW7QwLUdvkbuBf8QonY5rnHrtbA/QyIq xW8TIVjUzmW4ezdGyW1eVXJkM9HW//pJ7609GJ7g9Pk0TZwY26uXmfNWG22i TtQL/BEnnEwvKG4a10Gmfjor5f0WovEG/c1nKoG/+/de+XiHRPgH1JbwvCfw sfb2LV9Ok4lr00Enes/pYk6Ql5CzEoVIWH98u9e6vXjnyBlTbgabq+R9f+Xs xR0dac/ufKEST0IKVnOc0MM4+cScL6Y0ojLnzAZXTn28jqFxpiU0Ijy4tjKx QB/3bzmSXiMlQSyOZ36+6WiAuu6fjwsFSxDqXD84T/AbYgrJXqqOIUG8TXfi EkRDlPqUGWN+XJJQjd41H3x2H4YrfVRofi9JXO7atvO0oBE6Ta9qqlagEz3+ qwvolUZonz9FCw6jE4ZNO66d8zRGt5uHF00i6IT29Z06Dv8ao9fhglaBh3Ri k3PCWjtvY7zL8HoQHkMnZlduVln4GeNLTdZC7CM6IakR36Z51xhZ5SstGS/o hEPF0D6BVGMMbxYIrfhMJ5Ssqg+XNhhjwpPzLrer6YR3+WhiYbMxPrlUr2dU SyfcT2+byPtujEVi4fO19XSiO4vzXWa7MXbYiLh8/U4nqvdm/In+Y4yyvzfr /fpNJ/j+Cl6/tGKMKgW+lKf9dEKrk++uJ5cJagW1sxz/0ImmX6wkNx4TNJN9 lPd3iL0/u3LIgd8EL7rSKJOT7P0yVRuP/mOCfntusF5N04lTIbbXDombYNC6 X98uMegEU7p9ypxsgnG5T0KYTDrhEvtgZR/dBB8HrHIunacTv7Q/xOrLmOAL C8e9fovsfBY37daVN8ECyUqyzjKdiJr8NKy91QTfT8uw2B9UApseZmptM8H/ AZLGu44= "]]}}, {RGBColor[1, 0, 0], Opacity[0.15], RectangleBox[{3, 0}, {0, -100}]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesOrigin->{0, 0}, PlotRange->{{0, 10}, {-80, 5}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Automatic}]], "Output", CellChangeTimes->{{3.531190336867487*^9, 3.5311904662697144`*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"{", RowBox[{"g1", ",", RowBox[{"Graphics", "@", RowBox[{"{", RowBox[{"Red", ",", RowBox[{"Opacity", "[", ".15", "]"}], ",", RowBox[{"Rectangle", "[", RowBox[{ RowBox[{"{", RowBox[{"3", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", RowBox[{"-", "100"}]}], "}"}]}], "]"}]}], "}"}]}]}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "10"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "80"}], ",", "5"}], "}"}]}], "}"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.531190485067747*^9, 3.531190486175349*^9}}], Cell[BoxData[ GraphicsBox[{{{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[CompressedData[" 1:eJwdlnk41d3Xxg2hojLlKZ2JYxYJFYr1lSFTSimSVDIVoZ4oopRUkgyZyVAZ KkIhpFrKI1OmCmUuJPN0OMf4O++7/9nX59rX3vta677X2lvC3uOQIxcHB4cW JwfH/81Syg5TZt+dgOP/hyVWfKWZWdHOgn9D3vDCCQtcqXwfSKP5wFrFymN+ Mea4PrIob23bTfgyL33kh4IZPsJQKg8tGMwaxswpl0xw67jDgxXnMAhaeL0U SDPGzvXJy4utkXC3zWbzI34jlMpYs3N+IRoSAu+pLkjsQzdtr/Nz1HiwTdRn rbI2xNffep7O6CXBJM+4DGQY4LyrWcekcwo48XxZCuUzwFTOjuA5gzSwKhR6 a3ZFH/W/REjPtj4GR6fVmTUMPRyM21c+c/Yp8DmfLVv018P7Dku20wvpsG80 /7zZBj38uuASNUF9Bs/2fGf4GO1F788UlfH855Bd5OZzfUwXxR9+qx3VywZv itpUa7wu2isQ3MPOuXBKXjjNZJlArgXfhhm/PCi9fj3Rv4jAbz1HyDMG+aA9 s0Vb6SKBV7L5S6ZaX0Fo3PfNyf2AJpEDvFOpr2GLTtiFa+6ApCvllpNnC2Dj BTFRk0UdRL3LE+MLhRCeZGS2XVoH+dp/yY5SS+BmYvJG0tM92IbvvEYGS2A0 P8K0w3QPPs+I+zScXwqOsknL7rO70fyi+ckhvTKQ4Sv45nx4N8asKY354/wB Ttht5uqU08KCyyYX/92E8HGtPMP4tyYmDe3aPO2H0Ebz7L2XoonujcLOUwbl YGwUJ6hK1kThpCquydaP0GtTEMKjqIEL64ueee75BPf6uXoZk7uw78aTgxOp n4D4+6pZqXQXFjlfSx4/WwGqHTaOuua70EZNXWts4T+4/J07oDhwJ6bVpFwY plZDALfyxk9bduBMXKFC9/1qGL1Za8YcU0dD59rfzaxqELeiIt8ndRzhnjtS +rUGThsbWMSfV0cNbXOt4Dt1EO7tWvWtVg1D+B2m/Wbq4HO9WL9Muhp2/fDJ 9jz9BSJe/h2VvK6Gt7zTKda762GoGtx4dqhhY+4il+x4Azx6lV48l6mKwrDG bp1yIyhPvtHaclsVd8tEad1xaIQHeczPlQ6q+GDm2bRvUyP8kC0hZdFVUT3i u6P9iybIC7MJ0MzcjtdrtppsP/kV+jwSXCQ+qWBW/huZF9Ffob++deBUlgo2 x+3llq77CifbRnSWQlVQytm6bJPmN3hulJmob6OCNdy3lDlEvoNfM+12weg2 FNNuF26obAE5ix8XTvorIyHlNG601AJH7sVsb7dQxrP8k7Uf1VrBOailsFNG Gct+8AYVpbaC1U6qwflmJbT3Vp175NsGY5evv/DapoQvc4Pb3ZR/gqGI85kj K4o4JDx03+T0Twgf/0OK71REWW8THbmon1BXLC+8s0wRU/fwp/1m/YQ1Hiec vH0VMbL6vpPNf+1gozVrNjqvgN6/wyb32XaCXHHLu5drFfCV4cRj6bBOsFSK KGeMyuP4s4OW3B87gXfAozWwSR5dPIXevJftgvBrH70uxMujzVKk347pLlDx aZX12SqPKfy1gUIGPVDzxrTT304OdbSv2gbY9YA0X+rWegM57HBX3DF+uQcS Xde4WSvJ4abmkIG65z1QHZw+88+SLEbEmRnfFeyFLr0ad5UUWQyUrl+/0t4L eS4NcVqjMugMTfEjF3+DNWa0fMuWRo7Hs6XtIb9hsZupn5ggjXGrSB01T39D wI0D5XfvSmNVtRPlWctv6DjVf6zVQRrlLBcfO2r1QejLXw81qNI46CKb3cXZ D7OuDt1vE6QwoNbsyxfxfhAavtD8+Z4UblK+OFam1g8tKtcNGL5SaDRdppLo 2A92SRoXXx+Xwmf+hwqtqtmNQCMvrIAiheci/d83hg/A1PLG8/ee05GL8bj7 w7MBcBc/8SEkiY4JVlUcuR8HYJDjI+X5AzrWkET0QmcGQCj+KZ/2v3RUzMz6 bGz9Byhn0ssLtOk48vZr40fqIOg2pR4obpVE93753wUv/4KQd61XLEUSe+x+ rC6v/gv86qv39glL4uG2u8pf+v5CqfN6L1M+SdSo/ePTLz4EI0sMNZcJCeTO TxcUuzMEFTHhmt8/SWCcn4TO5ZPDcP/frqiDHhK4drbxTKDvMNzNKnRQdJRA f4+A4LDoYXAwsPAiH5dAe/vub5m1w5Dia/bEcJ8EbjV65Nq2awQkewnrLJoE lotsjtcUHAXWjdTxwFYaqodWvTdQHAWV+7dD3tfTMIP3Sp+F4ShsyFCvWVdJ w/uslm3n/EbBU08o7m8BDY92R1UmDI7Cr3e3HSMf0nDoueDMAo5BvGNScLAl DddK3JLt1pgAw+gCk/1VVKzaE7HtmsEEHPc4GKBbRsXb1sm7yIcmYLSNFnso j4pc4cX7jrtOQPf9U0U1cVScXx5xbn00Ab1WmdPrXKk43HEkq4FrEnbqKp9/ K0rF50z7PPcNk6B+fDHj7Foquoh6Fq8jTcL3WJKMKgcV+0zvVZnumIRUvR/H hEYo2FH6fvCz8ySEO53wXPUfBeviZOWxbhKW3sopPbpKwXsF6ttP/piE1Xap pl0XKWjUqKu53D8JlFdbzu06R8EKPlvjPSuT0K+hQtt+jIJl3uFni7dPQdm7 sgYdDQrmWLKe5cVMwcaaZeHMeTK6efK+OvBkCtq4Zsetp8mocF+kdCx3CrK/ dzXQRsiY8UmpZmv1FDj9npeY6iRjsqr9UNbCFBg23++K/UjGB4K1CmmnpoGX 3jTWEkbGkl3kQnP3aZASMNC3DSZjn50HLF6dhpH0KHvWTTLuzhGxtIqdhgct WZd8vck4aGzrv65+Gg4szByLsiOj6IWXfG/bp0EAHp/8Zk1GiOOIdPk7Dbei uhUUD5MxZuBpxqdVM2D81CKaZERGvcDRBp/dM2BSOmDHr0ZG9+dgI2s8A8ol ZPVlJTImNEX0fTs6A3b1je288mScoO5kbbs4Ayq5GUrHqOx4yq5JDmTNwM7O /IJlATIyGRu8DokxILf5cIv6CAnpZPuVFToDOMt8Ii8PktBcvyA4ZzsDtDd5 OtX3kTA90jp59X4GPDrvMPamk4SHtqV9fh/IgDzzY4WXG0l47ei0hVsEAwa5 7ztafyGx69ugY3MKA6I3vD5jVkNCjrq/E5dKGVCQfGXwfAUJc1xUxRUnGaAR selSVAkJ28JuPW1bZkB7V/uUwBsSrnrTonxbYBZCcuw44wpIaMNzVa9XdhZE desu9OeS8PbWL18e7JiFhtkdGZk5JMw/TLXeozcLWjq2G/xekHD1409usXaz YMfKkDmeSUK16o1z+m6z0N0eneWYTkK7CecbUz6zYO70nffmExIW6gjE7I+e BdKTKM6JFBL2ONrRFh7PQmId+V/dZBIKhOY9z8qbBf36Na5Pk0ho3275gbtu FualK+OT40m4NrH3/IUfs+BZFCS6J46Er2zcSd0Ds3AryJY+FENC7p93fEo5 5+DQg4rcy1EkzI4XlZPbMAfEcB+v1UMSWh5La4kmzYHlNq10w0gSPm0rVbuw aw4eKQu6HQ0noVncvl9d+nNwZ528h3cYCWesvoWbHZoDmVsZ7hkPSJj0z2ko Pck+b6O09UAoCQ1aR0dlz8/B7PCpzTvZPBbjmxTtOwc6D3ekRt8nYcxRPlPu u3Og8fLRz1Vs1hGLYnlGs9fzXxUFhpBw4Dstq+vxHDQnZksKs/lBdM5Rs7w5 0H3dK5B3j4Q7j2jxlL6bAxGdyjMn2Nwl+vm1bO0cADGyUZzNd74dto9um4PN GtzCA8EkVInqEeQemIOF9lbDcja3HT7/wXN6DvLbDj95weYAkfnzXRxMiAz3 F0tns9zX2ySz9Uw42n45LIfNjZEitSVbmJBSeWOpgs1XDqX6yMozQc5q9sAw m2nCSnLRO5nwysTMm8a+v7qppIVLnwkPf2485cDmixGGQZ4WTBi7xrFUxGZx i69qXXZMSHj1bc8mdnwfBU/9MnVjQsYbrw132XyucSS8xIcJ92x7HXjZ+REO 9wHZO0wYKd+m9JDNpQd4x6KimCAs8dBamZ1f+w0Pk7geM2Eo0qq1lc38DVRT z1wmZLb+ig9j61PwIJvVWcYEAWpB+BG2frbmmlmmNUxQaTqTLc/WN/vLIR7Z fiYsD+7ZuBjB9kNo9+uoKSboHBTRn2f7YdHMzZ6LgwWb3koc52X7Z39d0IdO cRb8XjblNWL7azZE2N1UjgX3DVr8/GNJmGyaQirZwYL9PF6pyPbjWE2xT9RB FgQeayjwSGTrf89AjsuOBY4uBXfb2X7WMWlu8XBlgXsgR6Ml2+9h1cNqprdZ IDwsHuCRxtavijLGWcaCVVkWXXpZbP3uvEjyqGbBfFFVxebnbP32aZh2trDg +aB/7iK7/horLbKKJ1kg2pV5/C+7Xi/8d8veQ3YeUDkn3raYhJQ+Q95ZtXn4 8DDC9GIpCWu51jz3I+ZBrsaPEVlGQmkidDL42Dwc+5PGx0AS/iiNDngaMg9j Bxa5d7P7iW5eRvKP8Xm47bo58L8udnz1LntPLc4D8+KpsaBeEiaOKgwMrF6A HU8p+QfZ/YuhkKs0I7EA926Vi/EMsftT+puy9ZYL0KVQc2yQQUKhxKqfesUL IKfh+Th8Axnfl9y7VlOxADVtsVJTwmR0bTOTtGhaAFHVta4nxMj438ams3ZD CyDAWSBhQSajT/gP5hXSIgSSJ/dmK5KxN2hI7GXAIpzdfalX3oSM+Z4ChzcZ L8GVQkX1NQ/IWJcg4pNzdAkODh3zZ0SScaBCPGWvwxLYmOsKjsSSUXyz/LDb 9SXwzjYanUsj461yg8DywiVoNvbwDy4i41Hh66/PSS6D8PrEvyG9ZJx/PSny bmEZupTH1zXqUFC0i6l5aM0KHNsvumlGn4LKqzlO/RFbgWaNnMMSphQ8Y7s+ W0h1BZKcFSDWiv3+rlLUd3JZgUuW8msmPCmYfMTh0obvK4CXz8abp1Mw7arr kIoVB8GMkFEOYb/3KriGeecEB+F9ot/SdAsVcVUWT/cZDoLw6MkVlqRiT2gf LdSTg+BdbTpStI2KlNQTVn+DOQiH8zF9lqZUTKg4UJFWxkH05NaI/gqkYuQ6 9WRhSU5iaycHkuapeDNl0WJmhJPQ/XeHCIc/DQ+qFF9QnOYkFGJmvcg3aEgp /zfCnsVJnNxkW6IdRMPSX0ONjTxchGWHxM/boTSckv5xIIfCRThdPWe2O5mG 9tmF+50OchFq5Vt0FZGGuiXuxm2vuYhm4WQtcV4J5PjaQ5T5chOJ/Nx/G+Ml UOaS0xVLBR5id73xIPeCJPYxYo/yv+MljhcPNs85S6FJ/zn/yAuriSc3+LTK RGXQvC9ckUJZS9h6ae9vbZHFoU/2AVU5/MTEbZr6lQh5VBZqIeudXEfYpNXd TbqjiGuBcbpjej2Rai7vWOeuhPtGbeYkjwgSOiFcAh/Dt2HbRwdOm61ChHtb XmxyhwoW3q2wozGECBVL238W+7ajE49XT329MFFPO8iluVYNz1y8WiiQIEI4 1vnezpdQx23OivVmp0UJ1W5lsYcaO7BBeCu/l+ZGwkFTrV/JbSe+fXkzcSu3 GLGHWp+eFrYLr3IqHKzrFCM2jtWemW7QwLUdvkbuBf8QonY5rnHrtbA/QyIq xW8TIVjUzmW4ezdGyW1eVXJkM9HW//pJ7609GJ7g9Pk0TZwY26uXmfNWG22i TtQL/BEnnEwvKG4a10Gmfjor5f0WovEG/c1nKoG/+/de+XiHRPgH1JbwvCfw sfb2LV9Ok4lr00Enes/pYk6Ql5CzEoVIWH98u9e6vXjnyBlTbgabq+R9f+Xs xR0dac/ufKEST0IKVnOc0MM4+cScL6Y0ojLnzAZXTn28jqFxpiU0Ijy4tjKx QB/3bzmSXiMlQSyOZ36+6WiAuu6fjwsFSxDqXD84T/AbYgrJXqqOIUG8TXfi EkRDlPqUGWN+XJJQjd41H3x2H4YrfVRofi9JXO7atvO0oBE6Ta9qqlagEz3+ qwvolUZonz9FCw6jE4ZNO66d8zRGt5uHF00i6IT29Z06Dv8ao9fhglaBh3Ri k3PCWjtvY7zL8HoQHkMnZlduVln4GeNLTdZC7CM6IakR36Z51xhZ5SstGS/o hEPF0D6BVGMMbxYIrfhMJ5Ssqg+XNhhjwpPzLrer6YR3+WhiYbMxPrlUr2dU SyfcT2+byPtujEVi4fO19XSiO4vzXWa7MXbYiLh8/U4nqvdm/In+Y4yyvzfr /fpNJ/j+Cl6/tGKMKgW+lKf9dEKrk++uJ5cJagW1sxz/0ImmX6wkNx4TNJN9 lPd3iL0/u3LIgd8EL7rSKJOT7P0yVRuP/mOCfntusF5N04lTIbbXDombYNC6 X98uMegEU7p9ypxsgnG5T0KYTDrhEvtgZR/dBB8HrHIunacTv7Q/xOrLmOAL C8e9fovsfBY37daVN8ECyUqyzjKdiJr8NKy91QTfT8uw2B9UApseZmptM8H/ AZLGu44= "]]}}, {RGBColor[1, 0, 0], Opacity[0.15], RectangleBox[{3, 0}, {0, -100}]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesOrigin->{0, 0}, PlotRange->{{0, 10}, {-80, 5}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Automatic}]], "Output", CellChangeTimes->{3.53119048665895*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"\[Epsilon]", "=", ".1"}], ";", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ FractionBox["12", "\[Lambda]"], "-", "10", "+", FractionBox["\[Epsilon]", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Lambda]", "-", "3"}], ")"}], "2"]]}], "\[Equal]", "0"}], " ", ",", "\[Lambda]"}], "]"}]}]], "Input", CellChangeTimes->{{3.53119079722193*^9, 3.531190880463676*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Lambda]", "\[Rule]", "1.2037306663823613`"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Lambda]", "\[Rule]", "2.868887767099359`"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Lambda]", "\[Rule]", "3.12738156651828`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.5311908391548033`*^9, 3.5311908811188774`*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"\[Epsilon]", "=", ".01"}], ";", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ FractionBox["12", "\[Lambda]"], "-", "10", "+", FractionBox["\[Epsilon]", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Lambda]", "-", "3"}], ")"}], "2"]]}], "\[Equal]", "0"}], " ", ",", "\[Lambda]"}], "]"}]}]], "Input", CellChangeTimes->{{3.53119079722193*^9, 3.531190886734887*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Lambda]", "\[Rule]", "1.2003706373845442`"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Lambda]", "\[Rule]", "2.958985227929981`"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Lambda]", "\[Rule]", "3.040644134685475`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.531190887234088*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"\[Epsilon]", "=", ".001"}], ";", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ FractionBox["12", "\[Lambda]"], "-", "10", "+", FractionBox["\[Epsilon]", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Lambda]", "-", "3"}], ")"}], "2"]]}], "\[Equal]", "0"}], " ", ",", "\[Lambda]"}], "]"}]}]], "Input", CellChangeTimes->{{3.53119079722193*^9, 3.5311908939577*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Lambda]", "\[Rule]", "1.2000370397046`"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Lambda]", "\[Rule]", "2.987071389546681`"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Lambda]", "\[Rule]", "3.01289157074877`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.5311908942229004`*^9}] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["\<\ Constrained 2D optimization by computer\ \>", "Section", CellChangeTimes->{{3.5311880965514483`*^9, 3.5311881070658665`*^9}, { 3.5311886116643534`*^9, 3.5311886187155657`*^9}, {3.5311911738969307`*^9, 3.531191175222933*^9}}], Cell[BoxData[""], "Input", CellChangeTimes->{{3.531191493213891*^9, 3.5311915046799116`*^9}, { 3.5311916065324907`*^9, 3.5311916232245197`*^9}, {3.531191657934581*^9, 3.5311918230920706`*^9}, 3.5311918581453323`*^9}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"D", "[", RowBox[{ RowBox[{ RowBox[{"-", FractionBox["1", RowBox[{"1", "-", RowBox[{"(", RowBox[{"x", "+", "y"}], ")"}]}]]}], "-", FractionBox["1", RowBox[{".6", "-", "y"}]]}], ",", "y"}], "]"}]], "Input", CellChangeTimes->{{3.531191955193103*^9, 3.5311920095591984`*^9}, { 3.5311920638784933`*^9, 3.531192064299694*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"-", FractionBox["1", SuperscriptBox[ RowBox[{"(", RowBox[{"0.6`", "\[VeryThinSpace]", "-", "y"}], ")"}], "2"]]}], "-", FractionBox["1", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", "x", "-", "y"}], ")"}], "2"]]}]], "Output", CellChangeTimes->{{3.531191999668781*^9, 3.531192010183199*^9}, 3.531192064674095*^9}] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"iterates", "[", RowBox[{ RowBox[{"{", RowBox[{"dx_", ",", "dy_"}], "}"}], ",", "xy0_", ",", "n_", ",", "\[Delta]_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", "xy", "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"xy", " ", "=", " ", RowBox[{"NestList", "[", RowBox[{ RowBox[{ RowBox[{"#", "+", RowBox[{"\[Delta]", RowBox[{"{", RowBox[{ RowBox[{"dx", "[", "#", "]"}], ",", RowBox[{"dy", "[", "#", "]"}]}], "}"}]}]}], "&"}], ",", "xy0", ",", "n"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"Arrow", "/@", RowBox[{"Partition", "[", RowBox[{"xy", ",", "2", ",", "1"}], "]"}]}]}]}], " ", "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.517271438225777*^9, 3.517271712474259*^9}, { 3.5172719380038548`*^9, 3.5172719406090593`*^9}, {3.5172719884855433`*^9, 3.5172721021941433`*^9}, {3.5172721616458473`*^9, 3.517272194936306*^9}, { 3.5172722482883997`*^9, 3.5172722507844048`*^9}, {3.5173027090009837`*^9, 3.517302715693395*^9}, {3.517302763335879*^9, 3.51730276419388*^9}, { 3.517302801368746*^9, 3.5173028438476205`*^9}, {3.531188116207483*^9, 3.531188156283953*^9}, {3.531188225657275*^9, 3.5311882310080843`*^9}, { 3.531188324639449*^9, 3.5311883566663055`*^9}, {3.5311884673016996`*^9, 3.53118854715824*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"g", "=", " ", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{ RowBox[{"2", " ", "x", " ", "y"}], "+", RowBox[{"3", " ", "x"}], "-", RowBox[{"3", SuperscriptBox["x", "2"]}], "-", SuperscriptBox["y", "2"]}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "1.2"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"Frame", "\[Rule]", "False"}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"Axes", "\[Rule]", "True"}]}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"g2", "=", RowBox[{"Graphics", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{"Red", ",", RowBox[{"Opacity", "[", ".2", "]"}], ",", "\[IndentingNewLine]", RowBox[{"Polygon", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"2", ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"2", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"2", ",", "0"}], "}"}]}], "}"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Polygon", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", ".6"}], "}"}], ",", RowBox[{"{", RowBox[{"2", ",", ".6"}], "}"}], ",", RowBox[{"{", RowBox[{"2", ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "2"}], "}"}]}], "}"}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}]}]}], "\[IndentingNewLine]", "}"}], ",", "\[IndentingNewLine]", RowBox[{"Manipulate", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"dx", "[", RowBox[{"{", RowBox[{"x_", ",", "y_"}], "}"}], "]"}], " ", "=", " ", RowBox[{ RowBox[{"2", "y"}], "+", "3", "-", RowBox[{"6", "x"}], "-", FractionBox["\[Epsilon]", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", RowBox[{"(", RowBox[{"x", "+", "y"}], ")"}]}], ")"}], "2"]]}]}], ";", " ", RowBox[{ RowBox[{"dy", "[", RowBox[{"{", RowBox[{"x_", ",", "y_"}], "}"}], "]"}], "=", RowBox[{ RowBox[{"2", "x"}], "-", RowBox[{"2", "y"}], "-", RowBox[{"\[Epsilon]", RowBox[{"(", RowBox[{ FractionBox["1", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", RowBox[{"(", RowBox[{"x", "+", "y"}], ")"}]}], ")"}], "2"]], "+", FractionBox["1", SuperscriptBox[ RowBox[{"(", RowBox[{".6", "-", "y"}], ")"}], "2"]]}], ")"}]}]}]}], ";", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"g", ",", "g2", ",", RowBox[{"Epilog", "\[Rule]", RowBox[{"Dynamic", "[", RowBox[{"iterates", "[", RowBox[{ RowBox[{"{", RowBox[{"dx", ",", "dy"}], "}"}], ",", "xy0", ",", "n", ",", "\[Delta]"}], "]"}], "]"}]}]}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"n", ",", "1"}], "}"}], ",", "1", ",", "100", ",", "1", ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Delta]", ",", ".1"}], "}"}], ",", ".01", ",", "1", ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Epsilon]", ",", ".1"}], "}"}], ",", ".01", ",", "1", ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"xy0", ",", RowBox[{"{", RowBox[{"1", ",", "1"}], "}"}]}], "}"}], ",", "Locator"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"SynchronousUpdating", "\[Rule]", "False"}], ",", "\[IndentingNewLine]", RowBox[{"TrackedSymbols", "\[RuleDelayed]", RowBox[{"{", RowBox[{"n", ",", "\[Delta]", ",", "xy0"}], "}"}]}], ",", "\[IndentingNewLine]", RowBox[{"SaveDefinitions", "\[Rule]", "True"}]}], "\[IndentingNewLine]", "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.517271438225777*^9, 3.517271712474259*^9}, { 3.5172719380038548`*^9, 3.5172719406090593`*^9}, {3.5172719884855433`*^9, 3.5172721021941433`*^9}, {3.5172721616458473`*^9, 3.517272194936306*^9}, { 3.5172722482883997`*^9, 3.5172722507844048`*^9}, {3.5173027090009837`*^9, 3.517302715693395*^9}, {3.517302763335879*^9, 3.51730276419388*^9}, { 3.517302801368746*^9, 3.5173028438476205`*^9}, {3.531188116207483*^9, 3.531188156283953*^9}, {3.531188225657275*^9, 3.5311882310080843`*^9}, { 3.531188324639449*^9, 3.5311883566663055`*^9}, {3.5311884673016996`*^9, 3.5311885233837976`*^9}, {3.5311885653322716`*^9, 3.531188596625927*^9}, { 3.5311886324591894`*^9, 3.5311886959669013`*^9}, {3.5311912114773965`*^9, 3.5311912569046764`*^9}, {3.5311918615929384`*^9, 3.5311919019346094`*^9}, { 3.5311920172344117`*^9, 3.5311920988069553`*^9}}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`n$$ = 6, $CellContext`xy0$$ = {0.666, 0.044}, $CellContext`\[Delta]$$ = 0.1, $CellContext`\[Epsilon]$$ = 0.203, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`n$$], 1}, 1, 100, 1}, {{ Hold[$CellContext`\[Delta]$$], 0.1}, 0.01, 1}, {{ Hold[$CellContext`\[Epsilon]$$], 0.1}, 0.01, 1}, {{ Hold[$CellContext`xy0$$], {1, 1}}, Automatic}}, Typeset`size$$ = { 360., {180., 184.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`n$111510$$ = 0, $CellContext`\[Delta]$111511$$ = 0, $CellContext`\[Epsilon]$111512$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`n$$ = 1, $CellContext`xy0$$ = {1, 1}, $CellContext`\[Delta]$$ = 0.1, $CellContext`\[Epsilon]$$ = 0.1}, "ControllerVariables" :> { Hold[$CellContext`n$$, $CellContext`n$111510$$, 0], Hold[$CellContext`\[Delta]$$, $CellContext`\[Delta]$111511$$, 0], Hold[$CellContext`\[Epsilon]$$, $CellContext`\[Epsilon]$111512$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> ($CellContext`dx[{ Pattern[$CellContext`x$, Blank[]], Pattern[$CellContext`y$, Blank[]]}] = 2 $CellContext`y$ + 3 - 6 $CellContext`x$ - $CellContext`\[Epsilon]$$/( 1 - ($CellContext`x$ + $CellContext`y$))^2; $CellContext`dy[{ Pattern[$CellContext`x$, Blank[]], Pattern[$CellContext`y$, Blank[]]}] = 2 $CellContext`x$ - 2 $CellContext`y$ - $CellContext`\[Epsilon]$$ ( 1/(1 - ($CellContext`x$ + $CellContext`y$))^2 + 1/(0.6 - $CellContext`y$)^2); Show[ Graphics[ GraphicsComplex[CompressedData[" 1:eJxsXQVYVc/TRsUuLFTEwG5/NlhjYisGFioG2N0Jgt2KYicKiqggCqKgdKt0 56XzXsJG8UOu757/Lh8Pz6Mvs2fPzsbM7OzsHK0Vm2cbV1dRUVnVQEXl77/i j7phcQvDYifisS/DerV3VvyGCvQohhOdNyZU/DI8q7J8KsODBv79SWe4ZeXz mQz/PGX//ZR9DsNJlfXlM+yR1ut9Wi+5UH8Rw2PbRo5pG1nMcOXrBpYyjB+L zpMrfh0J/PLYl2Hwy9OjGAa/wOAXGPwCg19g8AsMfoHBL19/EcPgFxj8AvP8 egn8egn8egn8egn8egn8egn8egn8egn8egn8egn8egn8egn8egn8egn8ejF+ EyrrDWb88tiXYfDL06MYBr/A4BcY/AKDX2DwCwx+gcEvX38Rw+AXGPwC8+Mb LoxvuDC+4cL4hgvjGy6Mb7gwvuHC+IYL4xsujG+4ML7hwviGC+MbLoxvuDC+ 4YxfZTOjGb889mUY/PL0KIbBLzD4BQa/wOAXGPwCg19g8MvXX8Qw+AUGv8Dg N/5fO8Evj30ZBr88PYph8AsMfoHBLzD4BQa/wOAXGPzy9RcxDH6BwS8w+C3/ 8/cnhfHLY1+GwS9Pj2IY/AKDX2DwCwx+gcEvMPgFBr98/UUMg19g8AsMfi9W zu80xi+PfRkGvzw9imHwCwx+gcEvMPgFBr/A4BcY/PL1FzEMfoHBLzD47fQX WmQwfnnsyzD45elRDINfYPALDH6BwS8w+AUGv8Dgl6+/iGHwCwx+gcGvU2Uz sxi/PPZlGPzy9CiGwS8w+AUGv8DgFxj8AoNfYPDL11/EMPgFBr/A4HdipcDO Zfzy2Jdh8MvToxgGv8DgFxj8AoNfYPALDH6BwS9ffxHD4BcY/AKD37h/9YJf HvsyDH55ehTD4BcY/AKDX2DwCwx+gcEvMPjl6y9iGPwCg19g8Lu+0gApZPzy 2Jdh8MvToxgGv8DgFxj8AoNfYPALDH6BwS9ffxHD4BcY/ALzu4Yixi+PfRnm 90dFjF9gfn9URPz+qIj4/VER8fujIuL3R0XE74+KiN8fFRG/Pyoifn9UxPjl 22v9z96yEuxLK/pR+f5YRnevfF8yw8r6ZVUw6un6Ty6CPuzx4YrfEoZ5e0+q X2nvurL6gEFXdqsfowPjfcAor2xNqNC+UFYeGOUrm2MRycoDo7xIn1TJQByj A9f5Oxx62Qyj/IZKhpJYeWCUB+brlwn1y4T6ZVRwr1FexS/DeF5pb6Wz54Hx PDCeF8sr25MptC+TlQdGeaW9k83KA6M8MMpfqOzQPFYeGOWBP334+1NQpXzH ynoKWHlglAfGfFfOD7mwv5Cz+oBRn0jH+kH9YnmRDvzi+98FpWDlsR5ELK5P tBPrEZif35L/BeuJn98qKnz9UnmsL34/5Cfsh/wE+RUqyK9QRsf6AF3EWA+Q d8CgY/6DDsw/LxOelzF5Cczvb9KF/U26sL9JF96XyejA/H4hW9gvZDM65ifo wJDfIh3zE3Rxvor6APOF33/K2fwS5T3oyvos/80Pi39/L2EYdOV8UDA6MC9v owX5kiDIlwRGx/6Hlw8Sxn4BGPY01puIYX9ivQGDDnsNdGDQYd+ALmLYA1i/ on2A/uL1oZegv4Kpz/u/f8B+JJFh5eOpDCu7K421D/2h9rc197IYHVg5vzMZ VvZ3NpW2+DuAuQyDrpy/uYwuYuV45DOsnJ9yih7zdwALGMZ8QD9gvojzDfOF p0v+WfQf/i7ON9Q3vFJepVHln52jGFb2Tzy1+zu9xmQyDLpyPiQzuoiV/MsY VvKfTtUq35tTBSv5z2LzAfIA6w844+/wv89j5fG8cj3nsOchL3j/QjZ7HuXx /KvK9ucxuoh1Kzu0kK1/yA/Yh8D+8w/4zj9QyMpDn0C+8/4xv3/tTfw3X32I 1z+hgn0byspvquyPj2w9QL5DPwBP+SenK9n/E8PKQ96jPDDKYz3x9cuE+mWs PNYbb39lCvomk61HrC/II/Qf5Dsw1hfWD8YD6w/yBPIL4w95hfWF8qBDHqE+ tAd06Ctg1I/6UB7jjfZhfkD/AON9Lv/0BMrz/mErwR8s2euQ98C8P0zG2of3 8ftFD1Yf5CYw+g8Y+hD2Cp4HxvPASnkTwTDmLzDaA6ycL8UMw14C5u1HP/Z+ YLwfGO8H5u09P0G/h7L6gFEfMOoD5vV9KGs/MG/vhbL3wR7D+4DxPmC8Dxjz DRj1YT2jPmDUB4z6gB0q25/C5DfaDzraD4z3QR7gfcB4HzDeB4z3QR/w+5ck 1p+8vClmGO0B5vmXCfzLBP5lrDzWL+YjMN4HjPcB8/xnCvxnCvxnCvxnsvcB 8/xlCvxlsvdBP+F9wHgfMN4HjPcB8/ZgNqsf8gj1AaM+YDwPjPYCoz7IZ7QX GPUDQ14Boz7xedjP/PqWC+tbLuhTueCvkAv+CTnTl7CHMD+Bob+AYd8A8/4X 0R6V6oO+BBbXA/Qj7w9yFOQR4gE8GJ2XT9I5LOi8/0g8L7dg/QH5yu+fVVSA QYf8gT7AehUxnsf8/v/LOwryUoonQHn+eUeqNA96Sfsl3p/lKPSfl6DfvAT9 Jp23i/oKdOwHQOf9E36sP8T+AZ33N/gxfnj9VFpF3/Hts2bt5vVtcJV/eX0b LPhP/ITxDRXOS/2E81I/QT8HC+enfoK+Dhb0dbAwHuHCeIQL4xEu9H+44L8J FeZfOGsf9CHaw+vP0ir6WNSfSn6iBXkTLcibaEHeRLP5gPr4+RHN2svb30WC /7K4Svv595UyOm+/RAv6LIG1Hxjt589/Ixjm/ZVxgv8xgfUv6MCg8/oyQdCX CYL+ShH0V4qgv1IE+0Qm+CtThPbIBHtFJtgrkr4Xz0NFewH6ne8vyT5AeWDU x9vf6cJ4yxgWz295/3BxFX7E81yRP/H8WrRPxPNd0MEvf34aUYV/kQ4M/sXz X9F+Ah3t5dtjXeX8UrSnQEd7+PPPCIbRHv68VMYw2gN7B+0R7R/+fNSjij3E n0dGMIz3i/YR6JiveB+weN7J22+lVdornu+K9pZ4/gk6+AEd/PDnjRFV7DE8 D8yfV8qq2Gv8+62r+OtEe048rxTtQ9DRv6CjvSIdGO0VzzPxPOwd0NF+8XwV 9qGyfQ7Mn8bbY0WC/VUk7A+LBH9NkXAeViScDxRRpTujUfy/eu0E/68d839A H/D2bDSrn5cPlux53v8snU/AfsL7QOftEQtmf6G+HZUdAvvlJvPfVFbjHCWc B8Qxfxr8TfC/Qb7B3wJ7GPY3/IFoP/yhGB9g0DF+vP0Ef+jRf++T/J14vnJ5 2oNf83/13/vnT5PK8/UfZfyjveAfGOOD9QM6nsf7+PimbOY/gn8K9fH7dVmV /Tz8qxgP+Bv5+LF05q9C/+L9WP/wR8HfCSz66zF/eHtNih/GfOLjD63YfEJ5 Pp5TsrdhD/PxnOJ+xEvYX3gJ+wcv4fxGsoexjvnz/VChvnChvnBhfYQL+8Fw YX2Fs/FQvi+C7SeB+fjWCOYfB+b3F1K8o+jfEe0lYF4fpgj6ULLPID/QL2L8 G9Yr5puyPVK8nGgPQB/jfXz8lUcVfSrqWzFeR9S3YnwPr28cmHxFf2L98f6v NMH/lMn6FxjrEecL4A/vw/wGjqpcX0Vs/fH2vVzYb8lZecgrfr7YMfkEecPv HyV5rKzPhmGsN8gzyD+sO15+Hv1nr0lYbB/K/+0N3/mSvOTXgzmb39BX/Plb JGs35CvkNY+PCvon7V/7o9h4wN+O9sF/zsdjxrPxxvzlzzsyhfOOTEG+Shjj D/mJ+Q/5iPM9fv0hngzzK5/NR+XzzsL+Kl2I700XzhPSWXmsJ7wf+oLfr8sF /a0Q9usKwV8WzfoL+hr9A8zLZyshPt1KkF92rP8gz/j4ogghviNUqD+cnfeg POQ35hPv74hm56loL39+mCScB6aw8YT9gf7G+KK9kBfgB/oW44H9DsaDnz/F wvm2tJ74+RnH+g/zH/Xj/agf7ePnq7SfhLwEhrzE+zE/+f5XUUF/4/1Yz+CX P8+TCfvlOCavgeFvxXjw/Dky/uE/AMb4YDzQv8BiPC3mP+QB+hsY+gDz5p+1 QpXNaYv4m3gmbyEvgSGfgFGfkj/sh2MYVr4nVphv6Wy8+PiKGCYPeHvTma1f ZXsCGR3nvbB/MR7Qf5gfvP2cxeiQV0p+Api9h/LQX8r3f2LzBXYY5Afsd7QX 44P5g/4HxvyFfODHR0XFr/L5YlYe8xXlQRfnK8YT+w3l4z5sfYOO9oGO9wPz 6zeQvQ90tAd0yBtg9AfGB++vfLxzmKDvI1j9vL1XxOwVjDfomA+gg39g8If1 hvZBH4I/YKwHyD++P1IF/lNZ+zDf0D7Q0T7QlfaKN5uPmD9YD5hfoGM+go71 gfrQnyLm70eEsefRfsgHtBcY7UX8B9qL9YH2Yn1gvw46+hPPA8OeRf9i/aB9 WF+Qj6gf8hblsR4hz9AfeB7tgzyCPsZ8wH5ExPx6wv4lWohHyKbxle2FvZXN 5JuS/zghniKdPQ/9g/mI9Qr7EVgp7xHPGPnv+TSG+XhHyX4Ev6gf9hvmr2iP wx5SPg97ddu/+faYXlfSFYJ+h/6G/Z9BIyrHB/ZetmCfK1j/YP1ZVZon8Pc4 sPkD+cbHe1gwexkY8xX6Eva/qC8g30CH/AEd8oevL5zNf6xf/vxBilN15sYF +wfpfgrWE8pjfUDfYH7z61PSJ7CH+PuMVkyeYtz5+4V+bH1B/vL948f4BZ2/ LxDKnkf/8PvdOEaHvIS/kI+HcGDxDfDH8vEQ3oyO/TLokH+gw34HHfILdPAH Ovjj3+8kxEc4MHmJ9oHOyzsZax/oaB/o/H5Jxuwn5XjKhP7JFPx1WQJ/mYw/ cT6BDv5A5+8rZrP6IX/5+4vZjD/QwR/kE/jj7Z8oRsf4gw55BDrkNf+8UxV/ BOQ1f39WztoH+YH2gY72gc7fj5UL+y2FID+s6Mnf5g2Dv9iGYeyn+XgQOfMX wB8AjPfx512Z1LfyfYhvK2DzAfqBny9xTD5ifaG8Un7IBH9XGs2ufB7vS2dY WV+6IE+tWP8D8/aqHet/0GFvgA55A/kLeYd6+PhaD+H+u6ugjz3Y+/B3vA90 /n66K9OfoPP31V2Z/QU6f3/dVfCvSnEkkIdoPy8PnZi8RD083ZfR0X7QefvR R7AHfYT7XaHs/by8dWLyGO/n6b6MjveDjvdD3/H3s0JZf6I8f18rlPUn6Pz9 rVDWn6CDE7wX/MC+Aj+ggx+e7svo4Ad06D/QYV+Bjvfz8XmWVfQTHw/oKtB9 GR3vF/cDvP+nSNjPF7Hy/Hl2HOsv0CH/EA8FeQcM+QbM3/9IYvsX6DfeP5vE xhd06BPUh/kIjPbw9o63sH/5xDD6mz9vtxTOp6KY/Qv7HHT+fn664H9JF+7r p7P+Ax3thbzl12emYD9lCfZHJhtffv8fyuiwx/jno4T7ZzGMjv7F+3n7Ssoz I+pn2IfoP3G/BTraK2JRf/PxjWGMztunkj8D+pm3Z6T9GTDv75LO63l7oYTV B/5Ee1bEov6HfQD+QMd+gL9Pl8joaA/oaA/o6E/oc/ALzI+3hGE/8Pa1nI0/ 6LA38Dzah35X7rcS2XmAcr4kMQz/Hsq7/Fu3oGP/BTrsBb4+GcN8fLzkr8Tz OD9AeT5/QaJgvyYwrJzPScL9ulRGV9aXKvgPU9l8c/63P8P4A2O8gXl/rrPg D7IT9Lvk/4L9AnmC5zEfgNEe6GO0BxjtAebj1z3Y89CveB4YzwNjvw37gNcf gcJ+3I/xj+d5+RIo6BfJH4fnwT+eB/+if1TZ7gjBTosQ7L8Ipm+B8Tz0IZ4H xvPA8MeJ5yXAaD/0OfgD5v1tkYw/PA95i/K8vRXJ+Ed5yCde/1szDH54/ejB MPgDVpYPZhj6GRjjCQx+xPsGfHssmb3Pz9dUwV6VCf7yNDaf+P2phPn5KBP8 6TJh/aQJ60fyV4r6H/qOv4+QyeQvbx/4Mszru3Sh/zME+1rSz8Dgn3+/ZRX/ CzAf7yjpUz5+LqyKfob+g/6AfsX4A/P+3lzBHpHi1aAvwT+/X/atQufj8VzZ +RXvH85n+geYt5/yBXstX7A/Ctj7oD/RX7y+Dauir6H/0B+iPhX9tbw+luKP +PsUckFfyIV9hEKI9xbPc+2E8ykHYf8qxoMhfv4o8w/geWA+/t5R2J+kMv+A sn+leDoxXgv9gfrhX+DfJxfae1OIB8D+fue/8leE+8HmjK58/rTgj5AJ5y92 wv7aTjivshL81x5CvJOHcH7lIdyH8BDOqzyE+w/S89hf4nlgPA+M54Ex/sD8 eV26YC9L5y2QP7DnMM/gr4Z/6Mb1vz+ZDMOeUrY/kmE8z9tfkcx/rhyvDDYe kP/w5yifl+Qt7DmsN2De/jIX7reYs/MDYD5fnhXTV6iP9/c4Mj6U2EuIR3AU 7oc7C/44ZyEfoSs7j8R4A6N+Pp7NUYgvcRbyDTgL/g0P4bzVi53XKOeDp+Dv 8BDmtxddqvy3iJXn/R8egr3pRUcqJ1wxKw/7A3ReXgUL8YJerP9hb6K/gHl+ /YT7uIHCeUAwez8w+MV64PkNZ/wq7UPJ3yOuN5QHvyiP/gef6H/YY3z8iJQ/ UfSH8PczXrL4Az6/W7xwfpnA2oPy8JfD/4L+wPPA/H0RBxZfwdsrKYL8SBHu 2yex/oe/BVjMz4fy6H+U5+O1Uhh/wGgvH5/oINyP8GYY7RXz4/H2oxOz5/jz qnThfRLm8+M5MHuJP4/JYuX5+EYHIZ7Ru0o+Nt5++sTo9pUCL+SfPZTD9uPw d2De4XlgMV8bykMeozyweL9APK+DvYX2AeN9wKiPv1/wUrAHfKv4J2APYN3H Vj5fKOirfBZfhPp5/1q+0D/57Hwb5XEewsfjSRjtUcq7IsYvMH9fULp3Bnrl dBsTxeKD+HwOciG+X8Ewnof+BQa/eA/eD4x/IW/4+8VJrDwwymP9wb8CzOc3 TBbOY1KE8/wsIV48i+kb5fzKEvIRZAv5QbMZ/5iPfH4bOWsPMPxF6D/Yd8r+ uifEX5sL8fxi/jTJPoT+h32i5DeT8a/kL1nwByH+Gfu2m4K9YiXYK1aC/8G1 yr+8/8FViI9yFeKfXIX7gJK/B3R+P+0n7Cf8BP+TdB6k7E/p/AWYP68KFc6n QoXzKOm+peiPAZ3f30vnI8C8PypSKBchxGtGCvtx6bxDPN8Qzy/E8wrxvF/0 D2J98Pl8koT4Xyk/AfQNvz+XzgfE8wDR/w+M9ov+etE/L+YPEPfzor9cXI8o z+fvle6fiPdR+PN2a6Y/+HjDPGG/K9ltkL+8f1/yd4v+bWDe/yPJBzGeFuud v79vLqxXR2G9Ogr2qhSvCDrGC5iPZ3JgWPn4K2G/7SW830t4v5dwf9+L8Qt7 nPfHuwryJViQL8GCfAkW7q8HC/H0gcL9kkDBnvUT5FOwIJ+CBXkULPAfLvAf LvAfztY3MC/PogV5Fi3Is2hhfxYt3MePZvYn9CfsVWA+/jFS8A9K97NRnvcX Su2Dvc2fZyUI+cIShPj9BOG+b7yQby2Z9Yd4vxn2LuYH6Px5reTfFO8Liv5H Pv9yWJV4ZWDoV2A+fjtdkCfpQrx3urBfyBTksxQ/D8zfX5L8sfz9Ydcq/k0+ X10Mk2fA4v1iUd7x+aItq9xXEu0ZYLQf5bF/4MtLmN8PSfGpeB7jw8fzJwr2 ekmVfMKivBX9k/z9hMQq53vifVvQYV9DPvP5KyU6yvP5RyV/qHi/F/ae87/9 lfJfyT+ppMOfeZTJ38ru84X8fSj4L62YfIb9xvtPbwr3mxD/I8l3Pn9rAvPn YL3y+d3jGV3Mt4D1h/0z/JP8flsm+D9ktOwvuy0QH5nKsLI5qSy+CvGqvH2k ENa7nPGtfJ+EledHEsZ48vcLpDh+vn5rhkHHePL+Wen+LOQtznfhb+Tz8UYx OuQv5hfmD/QV3svHV9kJ/jIr4X6Rq3AfxkM4D3Rl8hv6kM+nESjYD+Fs/CrZ 6xzGxhcYdN6eluJ9+PxzCaz9mF/89wLiBX0eJ9wXS2byCvMP/c7Hh0YxDLqY 3w/2Lb9fS2P2svK5NGH/JMXr4bwH+0Mxvp7PNxzD5Av2m0p5lsn0p5iPERjx ifAvKMcR6/20EA9uLsTHR7B4SfizgdEvmH+gI55cSVcwDP+Aslzav/6KFO5/ SfcR+fyD6N8MhrFfhX8e9ibfHim+HvzB38PHY8FfI33/hPfXvGT9x+ebkDP/ Dfw9WCf8eY8Lo8NfAn8H2gn5zucnkgv+B7mQT1G6T4v5wp8H5wr3e3MZHfMN dGDQoT8xf3B/E/4i6AdeHjoL912chXgHZyF+wVmIR/MR4tF8GB37adDFeAsx fgIYz2M+8/HGEYK8jGDllfI/hpUHRv3A0M/AkGeYX2ifGA8AecHrd8mfi/nP yx8Jwz7j5YVc2H87s/NJrA/IP8h/yDtgfn9lJ+Rzy2Dthf7C+uD1qR2b77y/ vZDVx+8/UgV5j/MsKX8E1hP2s1ifsLeA+f2ZQsjnJd33hT3L75+l750AQ9+B L/78zIq9D/OVPx/xYfJa+bw3s+9B5/Nj+bDzGZSH/QY679/3YechYv2Yz/z5 bgSrXzmO4cJ+NUKIt4oQzlvCmTxT4nj2POY3/72aRPY85Cvvv8kV4jEl/79y fudSJVnPn8lf3j8QLszXCGH/kiDs1xKF+01Jgr2YLPizMtl9J+hb7AfE/RG/ /nYy+5uPb5ML+2UpnwDWD58/Si74dx2F/Bl2Qv4MOyHfnAXrX8xXyBfQlc8F C+U9BPkh+UXxPOh4Hpj3NzgL+R+cmXzi5buHgEOZfcnHI/uw9wHz+RM+svp4 HMrsS9THx/MFM4z2A6P9fDydtaAvPAQs3avC+0DH+4B5f1QEqx/6BPXzOFTw 335idNQPjPYDY34B8/miE4X7/InC99wk+xX6is8/miaMd5rgr5fyq/DxYhEM 431Yf3gf6Px9e+l5rEf4p2APQV9BvvD5ZqXvPcG+5v03+cJ5jvS9IpRH/aDz /pl8IV+aXPDHWrF4DehTPn7DQrBf7IT5Z8f0O/bnsGdE+wjjzedfyGJYvI+G /uHzsSiE7wfImb8B51GQZ87/7Fnen2DF/AGYX/z9+TRmT6C/lPgB24/z8Q8R Qn6ERLbu+PkoE/yB0v4M8pnPnybtl3j/txfTB8r9qyfDov5FeeX+WoovARb1 O8rD34LywP9//eGsPsRnAIv6HeVRH8oDozwfLxAvnMckCOXjGRb1O/x12Ofj PB8Y+h37KfQ37+8vosaV/ESz/SPWA/Qh1gHsW/57qq7CebOHkJ/OQ7D/g4X9 SjRbD+AH8xf9gfnIfz/xHpuvwFg/WOfK9ksY/iI+f4iM2RvwR/D5e2RMnmC9 8PFc4UI+tQThPm+a4I/OZusV7eHXs1yQz0msffCv8PZ1snD+7CicZ9ux9mP9 8fnSs9j6Uo7/O7Y+sT74+22ewnp4R2cqDUpp/fH33TyF9fCO8Qs65r9Yv7If Q1n9WE98PL60vlAe9YOO+sXyuC/K93+8YD/Gs/WkHP+cf/onnK03rEdgrCc+ H1YsW19Yf8C8fenKxsv5nz3H6zNHJq8xvzH/eezA9Bv0Ga/v7rF1gfHHekX/ A/P+aQ9B3oYJ8lTC8Bfi7zh/QP9gvfL5m+yE/G/OAn9SPKZYHv0D/uH3QTk8 H9fDIevy+deM7pvVzrK8qZTvHPVHm2hNKn46jq62Wrj35EUpn5D82MsuNkOk 70YOSfk5uKi39L1vLZVG8Z1+SfHM2vGtHq32lb6/jXjONtmdDlkef0Xpz088 Suxe9XvaRwJqzA/79IreNQr7XfpOineE//9JVtjb4h0+FOA8apVxf+l70m5t niavXxbJ5BPsqaTU4dtanwwmh5hdLdcaRTL5ezizcxvT95FS/F6NwRW/0veE db4ZfKwXLcXzjR3k5p60WPo+b1C8Rv0L1aXv8WrW2NHP0EWKtzu123hUs9bS 93LPPF53eO9B6fu4701qnxik6cPwq/r6xc1+SPF2W6NXPjLrllol/s5yyfsX HfdI+ST0mzmuOLVLiseLv9L/irapdH45euPnLb3vZVHJ/mOlxh2k76PeaTp1 U9s20vdP76Yd/rwxSPreafsfpT1PD4yv8r1Rh87Z1VJ/SPkE8k1yFvY1ymbv 33RazcJlQC7FRk8NPOwVwvx9MzM952aPlb4X+myt3q534VJ825/3pxbkNn/F 5PXuRydGjJ8vfZ/yckv3Ormq0vcmX2QbPzObJ8V3Derq+fDrxyjy8f3eU6uR F63YPu77jrRIWnj4q+1/TwLJqfftHuX9Smn0kP909RcE0/qSYbcNLCPp/ouo ry+nxtPVxOkGKcNTaaZGzNgdjRLo2mJF3bJRUXTl8Zyp89en0NNm/xX1eVRM dVOP3xi6LoW2uqu2q1OvlD51N37juyuF3s0ykscbOFFs26g9F3XSqP3OLrEu N7ypu+37Gxs+yMisadvqy/d+IieNk6tU/GX0I9+85os2cmp8b0aJ/GMW9fAL sBrSpJRmNuxZ8b8s2hnx/MeTt07U5MeAYyntcinx2flP04aFkEPajRDvZvmk V7Jwa4gikhLv9H1qXD2fJqtsaTTlahq1eL0zOzA/j5rtWbR4dE1fOjXMTv7p k4LmfHp54tuh4cxexv6/98GNjQy6mtPxeTGqw8ZnkEzTQEe+0IbOL3z8s/xW CenPL9SUTblLL1Xmug84nEE6LX/u3mQXSXUGWrTZcCOb7ug3CJ9qW7FvauQ8 /IL7fYqa11330AM5madn/7YNe0D7x2zt4v5NTkunhC1zyleQdY9de0JPyUmj W8c043MllD8+4vOxQOn7EjPumy7S2W9Mw7tv8PZ53obJ7yMxL5Y1t1NQ22ET Vx3fXcDk4aFnB+xnLY+jpsZr0p+YSvkPeuvUN/VNSCUt9V72T47FUMgu6+2T GknfX9ry7eTEgmMF1KCms+f+Cj00u3GNe5ftC8gzssU8tWPplH7Ee5OxhoLU xn8/Njc/lxqs3puQQgoav736uDfH8+hrx8fPonZL3xti+/vm7xJPBVTsz37L Hw+PkPJFPJyQcUWuG0Qr5s2p1TTzFvVxGZt5IyuQooP6aMYse0RPteolbemR R1mb48k6/R4dyfJUHdUskO4azOxwzew1LSxyXlDkHECGT0srft1p+GWnMvkc BWm1TjELLn9Dk3PqT/DZp6CcT25f38e50t6RHnMO1SomvfvJa/wT31DrIw5u lzWKybPdXrP8Elc6Zjiq1uV5JTTqUF3y8XtHfpM6tLxXsd96fVnz+4NOvrTp 3ue7et4BVH3HtnH6mhX2f9ndFTOnKqjBr8SeGutCqUzvmt78ZsVUdL/Gca2z IVR6fNTBOe2KaVfHubPDmofSg/f3s3zHlZBbXtuubeZ9ohEdArTfryuhss1+ NRvMCaWRinW7qp+9SUuc27084BJBS+xGFb20u0vtey6o3m1wFHVqkmjQroKP yQO/DNh/L4ra36xecrNrIOXP1hs3524EVW+aqZpxJJBMtKfO+bokirIa9NvQ bUYkNV7rcfegTQTpnnh3QX6tgAqi93hED6/QI6fv9k9/V0BGTklhnSrmr12G Q8qgE9aUFH8w/XbrOMpxXhNV/ZE1fex0Ytis3nH0PGyA7rVX7+iK8aivm/bG 0o0tG8O9zr+n5KSI9w2s4miS5qfQc/OC6LRbgxtjHGKps6ZZ+I4rQeQe3r/j OJM4GvvsTsq19ZGUVS343MgOsdRxxIsb278U0d4XM3UeeMbRuQaThzZZUkJH 5dlzBlnH0evVxQXLJz6lY/E2HzIbJtH+WI2Je0I9SLHp1gvPC0m0uK7zhZ2F wdTgTey0+2ZJdMcv7Ea/WqlEEzUnXtucTEvL47/ZmubSoQ/L+lkGJNLQU93e mRbm0o15Z12aypNI70CwWuR0BQU5735bqpdEAdOfnKy5XUE3pvep7pecRInL oo55LC6mhJ7N710pSySvVjntp3qU0KM3Tbe6FSRS3SAvj0lnvOh1XfdZjZ1S yVhr40mtIx9JffH5xiMqcPusIQZbfl2jzOw5pq8VaeRU2qzXgd73aOvl8qdW b9PJ4CEVTZEVUTO55ebYpHRaGKNn925TCbks2nQ1fko6XbnuVdZnbwmNDlEd 38c0nXb4drr2JecxtcySX5l6PpNKAn7vn93XjXpeHmhqpZ1JX+rW7j+w43sa ZbZ0cvVqWdS9VeMlk11jyNIueUOLWZkU8ECv/E+bWFJvUnee/udMGvYu1u6D djEdHzU4sLNlJtl+sjJtE1JCdXVjZ7bRyaREjZbyCcs9aczFiMkBn7LpQ4lF gxl2QbR/g4WpaUw2ZeWeSw5TCaYX656/slfPoUZuZSZLH4STqs6oek19ssk5 x3uxb1o4OdZd2PqwVg7NXFYruXhEXIWc29qhhW82VZ/7ZXyL+TKavED32aer 2dSxddE4rfMyavU85/EBnRwqGPzI30ZmVaGXUr7P7pBHmdfXF7ac8pB6aqpN /M8wj2x0wtZs2PWRbN73WGebmEujl5RFnWofScvWdHjzJCuXjs/afb3+4DSa /ym/dMn3XNId8rz83OHnVNh2u161DgUUcLzj6KZD3GnDoYPxyUYFNFL7mdMr VQ+6mbvf3t62gGaOvzl2468AmrurWcjZ5oU0tYXqE+cBSbT65HTzNj8LKLWz UVyLivWc1uql+ZOuBWQ5dLNXpwUllKJqeDU0voBc79eabOTsRSc3Nq3RZaWc 3h7ZbLjVLZgONjRIqBUsp6FPrZZNmhlOWqmBJ3cdqNAHB27fquUfTuc7K6Yc qqMgVVuvh13dY2jYW+3ccbvlpPO4/ePZY2Lp2PKWhxfVVdCCq8dnhzgm0640 w0+DK/SLvIn788nXM8jYb5n8apScknNH15k3M5H66OnbXT50nDrYzzzS/lwa NfNaktZgwEWyWW3/unRVGh03tT+74Oo52rT/pW7PZql0Z+KOJR7NkujFmsZH u1TYc0cWmvZwM0ylrjsel/yusDf0vB52GeyfSlvf+Bg8WhkoxSf+HvXI6GsM w9j/p5ysN099xFOKfmDskLa/kB6etfGZp29B97t23N39j5Qn+Pm2VvNKNxfT 3EGbNJskX6bgg7MVh0ZI+RenRnfZ3eGKdB8d52lrzFLqDBvvSY9t/v5IcXFb tiy7Gdghm7oeWqBy2M6Nas64dGP5/ALyfX7V1OzAe/qv2flaX5cU0rbYOV/P fZPuo4/rdmV44hJPOrXcbLenRS7pXal9at6eAFosK6nh55BHJ00Wzz2S/pFi 4qqHN34hxSvi/GfWkPpXNNT8ySlEh1S2SvfPYa8uOzDL/N0Xf0r8M2VXMw/p frnqnobB7XOuMnv92vzmrzcXSvGKvef+6HtLo4iMOl94enJXBHV6Nanmg8gS 2qr19NCiIxH0OH7F3cZdrJg9/6aJ28KDd90Y7mVilD47IZDhYSsGm7wbW/V7 McFHfhzqtjCKQqZnuBS/ke6H26qH9F/0Vbr/bVzjTbeQNHe2Pyif0cJ9Ul/p ezDYh3RdfN7rS/dE5q9OcTQOvtJHij88ppNr21MWT2cO9elpn23O/DFDLgZt PKYr3aeOeUcNNH9K3zO5cP1w6zU6UnyhweWGdWupujD/+SL1F5MnNH9Y5fsg RqN/bjf9Kn2/5GD7LdYq5elU9rRsz7Y50vdMsscErHSYJcUf9gwduKRIT/oe iU9GvRXbakrfI6m2c1w1iw4ewv0cD4rduvu5adtsamXkFLzRKJDRffUvxuQ3 CGfYJvW747gHsVXiA58mRv83SpFFE5dNC7P8cKNKPKCGWUubsJtSPOCshFbl 7Wvl0pSeS2Kvp0v5IS8MvbDs4CMp3q+PUe1OL1TfMP/90n7aT2cH+zB8ue+c W33nuDF77mF1m7NX6l5j+5HbO0Zr3d5zhPnnDVrb67fwkr63MTS52oDY34Gs vNrZcY6DY5KqxPediTUdkNdCTnYrrrjpLZHi+yas05828IsUbzX/55Q2qVul +L1Y0zd705++FvKbRdDzgum3d55UsP5bYzVmRtJxBZ35OUr3+uw4avJ60dW+ J2zoSquYF1bBJbTn8EyViwG2pD1Et9Q/qoSm9ZhxQU/1KZufz10Odfhv1mWK XT0tOtNEitfD/jzztdp/UwbLqNbBt+nzVkrfm1jUf2uYvTyPClr/HpCwtkJe bhk0cnDyLdpmPM72h4YUP3B1w+OruyvsEMvkww7O7jbMH9IkoNVLWiqjRoMf bP+lHk0dV0xLb9hU+t4D/CVWEwIMXz6Qzu8TDRZ4+FTsK/2zRw/5fFaKX1u6 Zs992VEp32bCi3SZqVoqRT6/vW/BHhk16zXOya3CLkk4YxudM6GQEtQvRxnv TyfzF2fnbf9UQE97msmyK+wj09S3/UwW5ZPqqz89JjeW8m1iP9xo/+mcnAeP aYrq/qPb0qX4N8hHjz3nH3/aYkP5+bd09xtK9599YvtuK5wj5eusMUZNdYxa 1e+f3Wjz5mKbN56kvuDzyR7DqsbH7ZsUNtLcJYiNT8Za3RpN00Pps23LUtuW Vb+/MPLJTNVhg6X7li/7/mzebUwcXevjWW9uJ+n7B9A3SSvTkz4/kJHu8vDk bHfpewWNfi/fq9lE+j4B/LfmfWIrfvNowcag6c2rS98XyHAf9iq7ezSb7y1s rF903pBJ+w+qaelviSLdgLVDDJ9K+UZ/TdhwNupjIRkPrOY5vGYWzZzba8MU JwXtt/Qac9apgAw/aZnf+aGgbUE1LloNVZBxm4xhK38qyL3h6SHdHihIe/FX y60yBRk8N47NKy+k1cdfzXi0soSMF93svdluH6k8nlzrrGnV+9UaY9p3bnle ij9r0bRXbLulkRQw8d6S/lNt6cy568tnRyjI07vBlFmXpPgz37oTrjVVS6Py gzMMh36NpGDjLosnri2kadtf6No3z6QHnjtc1s2R7mfrKyxq1/gk5cf/rr2o WsvyVHrS2v/74LVZpLF/xMUbmamU41p7r13zLBo+e8BjO90Cen1qR0KeSxrV 9rcuz6mmIP0s7dpBV3JJp9nmCF9LKT9+tTajW36u2A9e2Vytptr+fPoaE3co /LaUT/VXtk36dTcpn+qA98t01tTNpD4JXRurLH3O7s+9vv0k99gahwq7wP7k 2D5SvvCdYRNaLpkr5Qc/3+PWApNY6Xu4Ol0yP2/+LX2/vd0kyt48tYJ/F6sx u87FU+6a7a1tLEqon+r6nus+yyl3ef2VY2+U0Aqz02PrT1JQ9pH9DR9Zl9Cg Cw2nzvdXkJ66qfs2qxKat8l1ZZ37Cqq1yebmtSdSvvCjtTR/L/qVSuV2uad2 tIuh6pm9rXodrdj/75qoblc3jso23S32eJxKm+cXLx88T8of/kzT2DHNI51y Drd9rZcn5ROvkzR/ds8TqYzfK89andg1IoaG9/zQKOCaM9nMOW2+pWMMzRrQ UjN8x2s6ofV15raGpbTXePe7o6NfUciMTjc//S6mni1fDvCeH0QFu350Lepf SstLx5l32BVMdX693r97z3ma7P70+chUGXXudUIW0eME9VnQ3LntThmta/3A dOklJzL5enOaYnYa3X//NsrdcCkNd7oa5vspi7ILm5XPiHCi1Q+mfn3ZLZde HHNyPDLfj+SHN9fcvCCfykZ+cqmna0F7DlzcX2dkIWkG9K916uVZWj3+14Qp Xwro84qZTfbVDCWVVe+c+t/Kp2kes0LOqrylwVMNdntcUtDbZWurdz3pQkPH Hdxs0UFB6ft/1ditm0/rF1zs+2nGS1JJfOG3c1/FfLDsv0ShbkHf7kRVn9ej iMaGesxPPXme+u+O9VhSYc9oFN45dy/uBh1QWbT+nomcnr5sYXxSy4Gdh5nq BXnd7nSMrtZVbOw8r5j6L1s89/yjIzRoWlSPDQ+KaKTm6Z5t39lTtSfPspJX 5lCXdw87rZjgTW+7+XqvqFdIeuVHAjeqe1PP1zPsy4YU0fgLkzb7Z3nT+akG O+I2FNHslH42WQ/9yOqdmsPuhXKyGBBg6BcVRHWcp7q0OldM6j3NDhS28SHN 3jZTBj8vJpfQObdckn3p07EZ73s8LaLJb71tu5YHUt4etefRB/Io6li7982T PtChgw1u5Lrl0+E4y7ldfMMouMbSqKctiqhxzo2ULXMj6HB+rxXLzxSTa/uQ /WO0I8i1UULhY+tiarjJtsGWbxGU+LR2+5anKvRB0cRaOpbRtOvA5zFBQSVk b6FuN3pIBLVJ096s/7WYdE6cbr9kbTTdHpvUus7gLDIr+bXIdl006Rl225hq X0hbStNGaj6JIeuHy07nVejZNocOfJ5cJ45U1Od2HBVZ0V8hDqPP/JdA8UGN 062uyKnGoImlwa7xZOzUJMRzQxS9OjbgxJihqbRi1u4X3Sr0pkWDiSmZ9WW0 IcVwikKriCKu7jE8eCqVmvSz9VnevYgGmu53iniYStvqrVNJcy+mmkEOLV20 UincaXyDiUeKSG3++IVv+1XIJ6smH+TtS+nOrTQ7zQ6p1Cr1fUfXdiVkdmpD m4APMnLXD5k3RK2EvCb4q7udkNHx0OsLLbf50PgVCfL0a2m06LhsuV5nX8pZ m7ezfGw6XZjb8+kbtzeUpXrVUKNPBsXVaNHf1NqFarQqOBHilE5uvYNNtWeF 0NecI31n3Umj5HG+wZdzQ6hkuUHnSdrp9G7em6AfB/zo9JeRlwfuzCDbeYNC zfpGU/Oc+ZvtKtpb/OH0oqDofDq0uuacy8UVdoflk5cf6kn5zxGvXjat5Yjm 69Jo5h71cc2sQ6nRos49x5tkUMmqXtE3TxXThdufmxfpZ9OjkPmjtlXs32b1 ODZT+3o2/T7oun9lh1JqVGyV4/8zi6zXmAUcjS6mae413p/rkEuTzJPu6n7y pknLmr0+UyHPt05tfXDQdB/6tHOr483iXLp6073Wt6i3lJpZfcmI/DxqoNH1 oZXeW6r73fum67s8sjLaav1lVzydejU9aMXpXGpa9jFWNzSeHuUnDD9dO4+O L5y5Uu2dnKba98+7YpdDv+zqueY9lpPDozez+6/5n/zq5TfaOtXJpY0Dz3mf 2hRFTi89f+s8zKeJNgu0EpeG0ZHn1Tds1C+kPypqugeyQ+nQsZGpPzwLqIld mk2PwATyLvtlcGtiPh0ZQV3vytNog6pOVqKNlB+oWq3aexeeLqQfVt6jpoRE 0+7LrzSNFhXSTSu32XUnRNN464trulTo9732o7I/Laqaf/3PkTNXN9SKpnNN e1xsals1H/vSy+tKXF5K33Pz2H7g6avlttTt1/Wi1V5Sfvb9R/PejK+wd3wu uDW+lZZFO26d92t1MJXMBtu4qA6Iozm3146zt5Lyr9uqbfz+q7/0vXmcnxb3 TvlVnrGQvt3fHKi9OJ1SMs1N86ZHUsN+F0r13qdTkX0dzUv6kRT348y2Ro3S aejlcO3lcyOpdej8fXrHKtbJ4gSjhLNSPnbXptP2yqZFUrWjzUav3fCkSj72 iOP1HvwZnUmR/T5YNbZXMHtq38tZtWxLFWx/EB9Wv/GIHFtac7FmkXO+gkp/ DFaJaVZIhx+8/dFifgZdDHCU1/1TQFqP6FZSjww607Fzl+3b5WS689ifxT7Z tGJSjejwVXIaMuT++Mg7Un56307ZEa/exZD9xW7Dkp7F0+6Fo99PunyD2X9a vV407fXCgsYMij7ut0/Kv64kl5As4u9CesbOj045b/+4e5sLebUrvFyni5R/ vVzTNe7puRLauzlmg8MfTzo+INuo4G7FfmT+b9WCvDDyfTIke/JTKf6kpMV3 fTtFMe25k3PA+msq7Qhb2PeI1WvSPXR2zrXR6fSkufrahnNdyGbWl/fH6+bR nZKkxNqGttSzsZuryuh8Mhm13PKIfSjtOx4/MW9vAV23exWpMfo1vWvx6OB5 FzmldndN6T48j9nvJQMPrGxpm0fDOpaft577hDx+xx82eJtHK7cXal28Z0f1 1tYPXjpIyqf+bbdeUw/VKMqVj2j6wTiA3N0DFixMK2F0b52ynlllJXS/wLqw 9bSACnm4rE7DY5HMfk+R1d42yjiSzl+sZVj3Tyj16rw6YPKKSPJOuO1xcVoY vXSdmyk/Hsns9zmbAif/uRxJlkeL2qbpxtP4ByPyh55/xs4/fO8ljb7V057G d4z/EPY0mbakvx+X6G5PKQXn7x38mUx/yqyS/GTS9+jtXU6//vHFg+Za63tb FiSRzgeLat+eeNKkcckdEk1SaHrDgrZzanxg5Vc6pL1voPGBjMeFy2zLk6ij 4fGfiS8/UOoPwwCNPSlUf2HAWPVtUj72htW+3S+t0MeB58b2WXU7mfqbnyyf ES19nz7UqvOWK0UltGR19rfMy8n063Rujbq9XkrfO9yX2FHv/kta4b7LfNQK GTVxCPVtV82b0WM1X0503O1N7qe2Tr7yWEZHgq4Ou1/ykdHND9Y0fbfsE8Ud PXk01k5GbvHTmz3VTKV1po8HHf4jI+vmUc/9K7B1F7dAY5U0WrJHzV/H2ZbZ 76/eNWrfeec7hgf49NIrUDwhg+HuAdt+ZFKgr9aIajueUa1LA29M2Z1Fame/ 3H8x6n++V2/2YbJ8ajHNbt7ZZ8f3TIqxeXBl7Ipi2j7VcfDtHVn0yuhVw6wM 6Xv29t3NprT9XkK3rqbo6rfOovYjvDqN8HJk+93GQzp9XbHxJck//SxsPi6H PjoFHetk48noo/tmjO2bEcTwf2r6G24186Le8/eqGc7LITW/PltDLnnRoBbl BQdf5tCNmccmRrX5xOTf2THnTGq6faLP17fuXVWhf3pv7Bu4ekMkoxv47qhm 4R1JpW+6OWT4Vein5GUD7y1KY3TVxdP21TmbRkP7vDK7HZFH3Qzf7ttg48Dk maFDYZ0Wvu4MT1pa3H+Q7AWdufOo2Kq8gG5P6Lv4h6k3k3c2Pf87O6K1D31/ VmNU0EgFaWWNtfOIlb5v32vKvi9OVuEMq+nPrBXR8APNb70zL+CXnGp57vXY 0f0jDY0o0fCu2D/u3flzwNLb0vftrba3bXf4UQZtXxVSq12hnNIOD7Gv3SyT VnTefcb5shS/mLx7kOuzACtq7/FzgV21DNo/6mS+SeYD2nFi4JAZXe+yeKpg l5L85W3v0/mmezccOSmnTXRP/VSHB+x9V4bq/he2Wfoem6PeqhDtawqaGzjE t179AooYfHXxxIWp5KFpbpOhEU9fB3ac6bBaygevdcsrYH6jVNoSM63b5OUV +4sOO5Y+ny/lf399v/FU7QMFdLfJj46X26VTTbqsG5Aax+Qb4tuWahzJVi+7 Rxb5j2/d/OHM6MUtGw0yeedMCSkJD+rdfUFOdGFldYUzFd/4tSZF8YAsZzXW crgWSFnTqq9I2vWcMtMcrJ/Hb2T+jTbXWzU/eHQPje7lbf3E2pPGnSm6eXHj ZoqZebBsOLmRUbVkj1MuUp7X2K3LLb6XOJP6No3JIUme9HTg0LFP3zhTjZxH Ufebu1G1M4N88p0CKOnQdVu9mh40qvjj3B5Rh5l8fbf02ooZd07SFc2pfh1b BdGk28satXp0lEYET7DS+uVPrfOq28Vses3Kf3bpdbrh79fUzC3P9PClILpb 7t+ph/lrio//fHGDuT9NvdzpSulOKd+Hh+6K96crsNbUtz+y5gZS4rlxu9Zv D6CEvPa195QEkGzO3P6t30TR6KEPjeQ2XrRi5IWC9VOiKOWUjn8fX1/6VjBr wvX7JRQhnx3voeZNDXqGzXe9Z8Hkv49TzwPLxlhSm/yuMrc+YeT18tRU+4aW VDvj+i7nVmG0tiTbXPu7Cyv/aGZ2/LvHb6j9yPyIIvMKfSlr4vBszBvK8PWr 5+oQSou1Mi/WeyDlH7kx/vbVXJ8Asrpb23lvRf0mzbyvGl2JpNhBajVqOHyk MXt/dNpjGUmfDzX06uH2kZ5YZMp7bL9P6gODzG+vjCZ1uhzSbaiUb8TroEFW 06+uNODtb8W4iCjq2HdUQ/ungdR8SkkH/Q7R1MHEoqbtc3da12mVQ7XeCVSu Fj7uSadgWpNYoJs4I4GuFdsYdl0VSYZnsgy0E2LIV0dV9VCnJ2T17PzkG0kJ lBnx3y7NAcWUkpXvF3sjgV7NjvjicqeE2iq07sv9E6jWhsG2Ya9fkM2ocmPb LanU2GhTtHyRI30cm3g1yyeV3Fq626cO9SL1Tf0mFy5JpTsjZq0IGPKRBjbR +KVtmErn1t/KfrvzAQX2jyjoszWDek0q25bsHs3swdhqPz42aBFDjzXOe3m0 yiCTDZtvPC6NJo3saQf149Ip7cyEs8eCpPwjcpe1rWd+K6Lk5EU943Qz6O36 Gq17pbmS38PGsVtaZdJ+6+67bat50Jy40ZFG3llkP/7zsf+++zN575mX/ib+ SQDpDl96t92ULOoyYHj8wUcBZJRd1Gv3xCxK0DZWy18o5S+Je+nw+o1LGIVl xtQ/NzeLNMLadZtnHUamivBim4p95PMNl78V3okldS21+2aRWbT+sG2nBj4l pLU8bM6N3xnUv2bK+ZkJZ5h+UCk9sfxNnRdk9aBsxtyl2XT3UNPZD3a+oIPb x/ltPZFN6+vK9b9FX6Y69UbGPrieQ9WjZlmc/nKJTmnts2p8NIe8m8/s2zgq kEI7X7W+8F+FPfnAwcA7/gP9jD1+7u6WXJqfnbiji2sE2ZVE6QxdUrHfmR1Q 9j5DRi7vNYw2DcilN5MM626qLuU70Xh22DNXo4Q0/EsNXn/Lo686bo/7NCmh VXO1LuU9z6PzE781ydZ/Sl8WpU8o9cqnNEVmTOON78il81I1t6B8ejf6op19 fyk/SpZK7TP1dQPJfKdZ08JxhaSwbnj3zsMkaj52XX1Tk0Kq/fzLwpqbSkg9 c8e3YItCGjHTxjdQ24vc2mvp/mgur9iPz1NZqRZOTgNzzGv/J93vd1Mfs8J8 rRllBsxcGZmeRJd86/Uvq7mJTCYsaTd9fBK137dpzqrMPSye79aOuxrFJzvT 0RDnF/7zkin8Udpe45TlNNykxRaT4ymk53zU6Fffbswf/sbBdJGfx0YKu7Xm 8+v9qTR6Xkmvj9N0yX+Lz2anWjKyGLu1i1PaGtq241JOdYsKPfD05tGfp/bT g3slJlPnykhVL6GFWdp2tv8Y8sx6To1hNyjWWdXhTLM06nbXv19Tg+PU5Znq zIS2Un5vu2xjjfrdUqlwdOIpB0UCac/YumRF51QqWyvLSK2fSG1HDzvq1CSV OltO3h02NImG/Zw/tkFNKd93l9jQtk4qqXTow9KfC/un0vMD+rc21E4luxHz je8WptIn46UZfRsspsy6hYetbBzJp+j2zukOG+jK+DoxO56/peIJTb36vHKm ycMa796f78j0wcujA2XBfm8p8Oi9sQN7BVJNrbvD9Rs6U4jXJo0Pv+WkKbMP nP7ViXZs1fvP4kkxOb/SN/56y4adBxpd6zq+aJA9dfMvu1LTq2p+8OZXH771 ir5O2hZ217enFFHP0Hynd2lOZL3UocZX1RJqOLSl3abIVxTU4O0T7XYltNai 3ds7F1/Trp6aYboR+6n6abUW1tW9ybC6+snEbeY0ZtKKYdsyfUn36BOzO+XO tP/zoblz33hRyylj0hotf03BwUYfdMb6UffGq7zTzQJo2mvTjyM3+FC3015D u1fg3wHzfYtcfGjW6eIh5eukeFUj0/5znjY6TxFTWkWF1P9I5puu+5yNukDd 7eMvqNMnGjj75Nsd41yo2+LqqWT8gT72Pzdf29OFkmfbdlaL/ESv/kzd//xk ANW3OLdoxtWP1P9yWUPvMwG01uSbQUzER2ocU7B13rYi8lVt2mdpoR8Va3xb u/aWlI98XGaG1UBfOV1sbnbIZ0NFeZevSy9GymnauVo5bz5+pLdu09uu9Sum ccU19QOH+JPhf31f1ciV8pFPzH1/8WpmERVta2Z1qclH0pp21evzoBJK1Byt t3LfR9q096HsysQbFLbiQGn6wAga8TziP9UDb8loivb0xcMj6PX4XrNO2b8l q3PD9+hbRtDwwF+nT7cKpMvHG975OiaCHvdf064tFdCBAzcNJw+OoDcDbuuu f2ZFKknt/M0GxNDXc7THoMc7+lFSXvfSgxjSG5U3Tr1mEN089eiew9aYiv1U +5EX5Fn0qIO5o6WJlI+8bMYOmZZ6LPX2GVvxK+Unn+9/bqqvZzGdWL134aaQ SAo74mHWNFXKT57RxOzitGcV/Ze1YNifKzG0oc+qZZc8imh8s3lr3bvH0qZT flPSapdSnbBZvZ52lPKTx7v9PtnuTQRNODPNtrx7CbUY7NV4ydcYmuB2rq19 z7/xXc4bqqnG0niDUYEnsh9T/osWfd+1S2Dnccv8y9pMN4ijGkd0h93b/UjK j1nrkOpvVQ96r7U21PhWAjvfbeG+OzHjbSI51d77aYmRlM/csCxgYMCQYJq+ qGTqjSMJtDBwyjxHCymf+cbbm6qprMqlZ24f63ofS6RzNpeK+tdSUHPLV62r T02kbWeXlWn1LKZ5mmUD+xgkkHX6qQFTa0v5OhuEGwa6x10ll7S4RKdPaWSu o/NQe5QpjTrxLs+0KJVkE3tcy5sYTZkap+sM2phGT7TGfd1yN5ralt1b069L OvXSWNpr2pwiOtH2Xv+gxVI+813dDn1skSejHYOWDGi5VspvfvjKiAWxV4oo 453l50NmafTsp4n+7JdFdHWX48GMmuk0puXMLX2mldDR9VPTb1qn0WX6pvJm 50PaZj23Q2ObDFKL1fUNDbNh9vtWy3bzc7f60vGpR1zGn0gn7bulOndLpfzl C+v9nuxn9ZadN8DutbN5r3snJ4MGftHW1Inwo/dJpy/M88ygsS3Uym9b+NOe nQ6z5YaZNLhbhPtWz1DaGD2jewfHDPLTPt9IrW8Ydb0Vvd1rbSZZTi3+seBy DKVpN3g4qU5mRb+E3Tvfcx0t9h8SN7w4i9y8x2p9dT5G27QuBk96lU1f2rud ihrgQSNLl7fQzs2iw+87r+ufXDXfuSKmtINiehbVVo1K3DgtnOo8NZ9gOTyb Oh82yh1uf4e69h+84PKBXFqYGlewTfsDfVt62Ff/p5Tv/KF/a9Mja3Oo5meH /nutpfznkRka5uNjiykrWbHUpFcuNYpZr6Lyo5iy5V9tn9SX8p8P6VDueOJJ Hl1bfuJS9waPWL6BqeVr191U8yXjGg4q33dL+dDTejoWBTTPJ5uvoTu9b0v5 0dHfSV+eTOvZIZ881a5Oq+HoR8ez9jWJs8ynJcndXtk99qfJ14tjvYcU0HjN hTe8OyaShpZ1VNc3+XRpUzWK3JdIBU3WXejWsYBOuZt9cBtWQnMzt4yk7Hxq +1itWdYKUzLs09b6x5ICCr/74ae7gSf9LNKZEnRMyo/+YJZxV+PPBfQ92P1X sLuUL71j9dRJuwyCaLVz7pByhXSvaPz9dc4/b1bsJ++M2FeaHcT2l3t+B1i7 2kn50nFfo5rqtgU2OYV0z1R1Z7OjMbR/56WMoQPlpJ9XctpwRwnltnx8YW5o IYsH2HukzmorAznNuzD5lJuZlE89bfebkPGHImjFyrZz01MUFNV5ScLWNlL+ 9NUuwzYFZc9g+lNza2lp224GLF7K1CB3ocmX6fTnaUFqXF07+rpt0/Zjb0ro c+H0a8PDrMnDLsi4c2ExK7811cOsRm0pP/rxKX6L+6tcp7RVGSNGBUv50evq Gvv66smp2zeXtdPjpHzp64eEeA69IN03arok6dr7L32le1JOJy4l5bQhE/Xx 91Yts6ClS8Z+0XrQl2hSz+82w27S2osTw6b9KRuF+xRfT+xtGXWsDX3JrTdk 0AALsv7vceF3RdmoWVHzzgfMNSfVteoPrraQ8qP7zBu1WL6qiG6cKJvfzPMB pV2Q23Y4J+VHP7BWvuNGYgH98DncYHfzCrsypYtj0H4pH/r3tC/rL3xW0Gyv jICeuVI+dKesz1dO3nSj1kucDvUKlfKj31tS5rFmbjH9iTXYrlPPk8UjJfUO O7Pjmxu9Vq+t2muMlI862bG2U5GHgm6P25vcXxFGdco+XEk+KuVLf2NH+5fr F1O7LuPzt9pI+dL3phj1mD46lBI0uuvLx1XNn7744fcXBxtU7Eu2vPD0PSbd l6nud+RGTqdQcj0w4tHh81I+da1hvU7W6JlBn+U7p/VdKuVXx3l0B837carj o6j9qXc7uzplUKtl8XZGHyJpUen12hd+ZdC6dX9uv60ZRatGWdTRM08jdfmf /fUvSPnUx618Uvo0NpLm9G8wKbbCzu+7VqPh0gp5Omn3epuG61/Tl6u1+nvZ bSenrkM636rzmk6aR4e8332PZr0uyO70K4gejRisNsl2NT1uHNR3yeZUsjqu c95XNpYehMTfLzmbQvvnyN8/jOlE7VbqT55umUszUgv2e+qeZPfnVjY6HZCa bUeD3Qpz/Hdm0bvPR2v/+vmafk5+/un0VCn/ecSxJ7cG+GZT4SX/L9V8pPzm HbqY6J6860nhXT/WahKaT512FxvVSXahSdHLjijuSvnMm52x/NA+q4Ddrynr H5oSqi7dH2X3dx3lDmNueNH41xonaIOUjxz2bvLosj6nO3vTd92X+yIvSfdJ L19bG3X0dw7Vz28dYxLjq+TPWco3XiNdq1/zznmU1i/27pCuwXRCVbVFxgAp T2WvR8+nDk9UMP/9K9+BERobpPzgeH/0vZYNqnmE09yAJxZOQwvJPOh9S+oR Tcuez3Jouk3KB47zEc+mlycFlUXT15HRW0+ssmXxeRPu2jc41FvK91172OTt xudLKDb06HZL3YSK/bn6AM3LVfN5D4oMn6N1M4VOZFqEPEzzlO7z1HsxbVTO B4YD5pxz7LQ5j4b16lW7q2EKzWh1Y7aJrZS/G+N/df+v3Y3apdLRM4ZDHyco aOKr222P7U2hOWdzjruWK1h5jI/2mMfRr3al0rCpN6eWxEn5t/s8Ss1s7ubM /Hmdt2vOXPKwhCZOG1XdzyCDnh4L6alrL+XbHjcyrH6vNfZV8mlvWdgh9WrX bPrWpcGy8zuLq+TjXnDsvcOMatn0u0v6uau9vKvk3z4W4KTZomcuXbKWHxy4 9QOj16rTtMk2kwhSNFrSUrtmLpk5ReieuhTB6AG/zjdUS5LRs+p1prRtW6Hf j+xtcCNFxui+ruNbrDN+ze6L62uMsWli9ITF59Vv2zbO+vgrsvrWwOhkYiHF TS5de+mjEy2q/qrmugly+jDvSu8F1p5M/0G+1B2XsPTafwVUp+7pWYEzpXzY D69/UZvUJprc/itzDT9UwOKf7ALGdS+YXkB5bmenDXol5cOOOHf6t8msCrk0 u7Ss7l4pP9/C9BvT/+4rWhxIm2TfQsqHba2y+U0Pz4/sPC9Ca12tlzcjGB4W Pb98t0oc/Rw8M2disoIulPYbe7hdXJV81huO1DhRLFPQgL/nI/OkPL64/6DT w8i2uUkUPb77vThxdiTNvSS76pQfRQ8/5uxqXEvKX302Y37YAo0oSlY/M6v+ umTa2L7hssvVUqlv98c+lpRCP+v1Vl9XgXWb6m9sdyuFXp9pnhCVVcju97f4 PvzP4++F1G7NqheR27Noz53svXdWxzF/0QrPe7WG2sTRk+i9Dv6rcmio0exH F6LiaOOK+vmNn+RQX9sDrb7lJzN97DHOoHDP0hT6cOjIlN4GCtI3PxQ9dk8K 9V5z/J75TgXldQoIa10yjOb1vuI2XNOKus9Jv1C+pB+59jfsW37/Jj3K0ygI jpLyVe/Q7ZA9xVbKD4D8hmWNt+nNevCADM/5nZmxvZDav131vXXvTJrRfsLi l7VTqVZ+avuhXZLpXuGIQSPqSfmpk+RORxdtTaeOTT8PSWh1h4wa11aP1Ahi 9eucS9c+ly7lm15l1GdYs20KyX/9Jqz4YQvpe6JtjMK+2o2R8kvj/u3Z8Tpf utV6w+zrlrWNbiRtDaW711fd3NVLwfy1OK8/nvLtYMq3j6SxQP3s9jbS9zVH uHotbKkj5YvuU7L3yjdDKV/06JC3ejXjblfJFx3UptO1HEUk3TmX/O7ePOk7 pAnjt2c4TI+kyQNt9c4OiqBw+9xX0U5Svug/rQc1zLhuzc4fF2wZlGXf7z3D ey4+9dLZG8RwtSNDHzrJqn7/Mtbz1rBn5rF0qpp/60/TS4R8JCU0stWrpfsb xlLZyeA1XmGR1ObSCnWjJYkUWU1v1LnkSHJuaNA4NiyR1HZPM5ldQ8ovvaNA Nt01Tsov/fz4ptywNQqGNx+ZuOfIxGtMnl7IX9O8ptntKvmkrU1a68zck061 9Iqb+u2U8klrJpnHT/wq5YuetiJGc19wOFsPmuun6t0xkTG8x8bhlmKsjF7q fWqxdm42BdR/eUbb8h6Td1/GDV8TH/iA+TsxH7bdvzR4REYB7fqQG5QZlVgl v7OhWZafw/EC+tJnzMo6elJ+5wd1qoWcbxnL1hviHc00fW51srpABxvn/Lz4 2pnZ24gvPdzessaeV7cp+0z3wobvpe+79DcaeSf+uZS/mX2fbMKs5hNmvaLF AbYzNd2kfM7ov3V5vwJqlL6kEU8zGiSV7GX2xM66Q9S0vzkzrL21aNCKK1L+ ZvC/9N8+Sf+O/pKUHdFUI8W1XcPO72iJnmXb9NLTzL44p226Q6uNC8NOx3Ue Ttkv5Wtetyd0kmmF3ojct/xSowx/Kf/+mhg7hVMgvQ+7N+Fos6r5mssNNjxL vu9LZ3q7l9/aJuVrzn+4NyfEX8rXDH737Jwza8eLYCrM0V43oYmUvxnzed5y Xf8hxR9YfEzdXNUOunvDKLTWk7l3qr9l9lA1E50TewvzGUY80o/e+V9/fwqn HiFdLgw+I+VnRv7Nt8k59W9/i6b0NfkZx2cX0ciFjoMn1pTyMzuqHDmQ9TWK biR8/9BoQ9V8zbuj+wbPOxFBRZ/7T0y8VDVfc9OYE7/6mEaTgdmGq0c1pPzN Fy6OLehQU8rfXHZO8f2cQspvgXxnZTGL4/9sTyTNEU2G3g6S8jVjPo1z7rhG 2zaBvjeq+XXW1qr5m/sPXGM3d0wymfWsllAyTsrnvO3NlnvpQy5Vyce81WCC dsA16X608ieVete8tb6G+zZmXz1Uj7Qw1Y5mz7tpbr404FTVfM+Gl5qX3qqT Rkczf2i3u+3H7K2SpR/yHO1Dq+R3JhuXgi/nM6jLninTRs5LpcjY4YMMj0v5 nO/kj+20c2gG+RVc6D1snZTfeYT+xCtODYtpuGqNhytdMtj+61B4t4Ph3TIp rWa1W/JOVfM5zx7qFtPMMZ18LyQWlFhI+Z1v7jHpNKfbyir5nDUsY7uFm2XR hiU/k3KsY8lh9K8xW1Mq9P2y0tarq8Ux/49TlFW3VZpS/macR3hUM06b8k3K 53zrQ69+31/m0Lb9j/Je9ZbyOZ/u+zbHyk7K51yw2uSEt0MxpcWeS8kbJuVv nt2pR4inWsU86XZYx8Zdyucc7T+mWb8YKX/KjN4qr+bs8mP2ocai4+6LsxIY PqZomH3pf/I3Y/xcF05sVm+LlM/5VuZkIw3nfNrztqlTr1nrpXxN14uvG2rE VMnvfG/D/5V179FQpmEAwKViRYstl0qUIhEpY1yiR+uy5FSbpFispTIupZVL jUKYduWSyuCMWzNuo1AuGcUkW9FoXSa3xiXjVqMxZk2sjEs75+yad89xzvfP c877x3u+77083/t95/dw5XxmeVCjw2sdmRyASWptoW07D/QNErB5PyHPWd4o pMB49yhEZghLAr5FXvMWe37bY9G4/1z1ZP6+PfKb1TruMLEZyGu2o0+6wTPk H2lq/9mr0YG85grNfa3Sym7AiLa5bCgohyUj0wF9n2NgFJzPcOl+AINCJV5w tAD6J8I9YfoO4Dhn/lZPRd6iBUUmSWpsSrTORxVRfcvBpfGYRfoBDrjufanf McYS+wuZMh3TlK5eYErqt0ueRx6zbcqRANbgR7S///e+KpfmJZPmxYKNk1bH q89xgWSWq4jTHQJZR7s1J2nIY/66//Rdb1cuPJ3z9SZvGAKrovjbvnpcYEpE mCQwRPNgtJ4jS2ADLmVJyI8bhZPGuNjUxEKo6DuDI5/lQ3OoyUbryXyxP7LV +UWS46MhYGH/StOJ6AJ1LPFGFneld5w1p6T9tht5xwqVnBdcIg8mhRkZUkui /SGR1J9Zkg8FDPnym4dXeseSC86W47g7AMyZg8wZ5B0vr7/URcNAjNwT8feB 7au7+7Om6VD9m7uLXOpKDznszaGfi2aQh1x84oTQM7IJ2qmLKjdrxsX7kW5i BPGAKRe6pjgMTdd2cNYhOOkQVvrHzsPh3n07W8X/u1spHSYSujtBVb6C674R 1dfan9jA2KQ9CTc19RKwBizQebXPTCEc+cfL500buteajGHfwwXF9tiuKuQf yyrcsPFv6oLh7HP31mOHoPAZq3v9HPKOl3TUG0nmyDNec/QNWU+fDQsHrx+V IgzDlpxg+2pDNqxTjiNEUYYh0dJPi+Egap+cTCt1GIH3bhT8Gis2PHfyekaS HoFNstk/tqj1QVhDM7bP/xNc5szfsr2IvGP3UlpwbhMP6BS6TvrMGKzuGTI7 +wr5xcJyjGfnWz6sbogsn8PzYOSXJJpDGx/44xH4aA8ehEXPkwLxAtH4snpQ 454CZV/topSCBaBQNWqVnRkPmzEf66P9kG/873MXwK6Y4OcmAwQwNt++GDQ/ Ag1tnU3b/DrBlHsawz2NfONl71jZ9JYELboT9LANj69qFcGZQSXFF9f4UNJX m7PwqQgyj02MELKQd6zOroy0quWL8sCTXhPFyDN+ZFwoczeBDcGklPHvCkaB hZ9uTL/HBskK+ds2EmPgTQn9ZEZnA8at+vty/BhIqNs7jlexgdW2m9TqOgYY lZ1aMS/H4GoZucc8pBIsY53sYp0qxPeLcB3j982eSnCJq6mdDeSBV4jrHGFv JTx5yvigeoEHOAWFmVx3W/H6FBNjbCnD+Z8nXGel/UoWecGJnvdzN7ggH1gS z76ESxW19/Pp1/zChfmcKBui4TvIqFtKniI/AvK1dLLD4GOgdfu2SjlOwrWk z8lMlSFYVxsfvaexG1iDCeTjVOS1Nq2l0j8Lkc9aal3PMp9G/uql+pQCgTXy URe9Cmb805B/mrfDvfXUXeSVls0+qCjvPQB7rV/L3w6ngPIui7n+ThuIF05F LxILIbTuZaF0jABiSvsHekX9C76cp6Iej7zNfCYOszmpWZw/66QGdKhuZYjP 614bK4ou5FvS0phOGuPIN3bUMr5WOoU84hO6W61l20ni/nn4Um9dVGeI4y/E lrVsJ+Q//mGntUrv3bJ31wPng448VPShi2NPsu34oV3N4vj9FRPFUn9Ufzj0 irTa7s3Ib9zvWE8rOYX8RduJhbIhCqqf29CSK/97wFtxvvCBTDmucRD5hb1R bi3e6ah+q9Q5jbbRVSMgH1dWPBeQDtO5s1oZecgrXPYLfy1wKnbWJUK/SaSh IDAfLDl9P5xS4AOVuc1VIJqfOw5xjHyDngNd4qhEQZgAMNTC4riQXrCrM49V M+iAh/hRnm8qByw8PmYH5bwDYkhaWk8IHzbR9B9iDQrAQ7XTp86AD/8AEwR3 vw== "], {{{}, { EdgeForm[], RGBColor[ 0.34114166625867165`, 0.1403864445916712, 0.5964961974440486], GraphicsGroup[{ Polygon[CompressedData[" 1:eJwtUjtOxUAM9PsIdpOlgQ4qLgAUlFClouUGIPEkXl7gAhwivJyBI6AQPYpE QoKCjhIoaKCBOzAjT2HZO7bHs97dPb8+vRqb2TFsAhvWzXrYLewnNztZM/uG 30tmDyj8DG6MR8Aa1C1hl6hrotkKJAH+EfktxEcjswI2g72Bv0btBSwi16Fm DnwTFqPX74PzBfw1cq+Z5wv1lpgxh6Wp6+MM5p5Rf4fem+j1nXBi94if0Lsd vO8vum7q/wiuZwHOjanrpv6D5HrJT/3UxZg9nJ+LN+kO1M9zNvFZ9KwhTp8U d+ppxx5zZ9TJ+Yxb5XPV8L6V8N/oM96D5zNpYG+j/dPI2wqvdK+z5DvfCY7X 2j8xxqwZ9I7E6RvF5OSZOpf6F4V2w5g7IT4o95X53vkmvXDycG+l7sJ5pd6R GhfCG70F65ljD+/IWTP9g0o85MjF20pLLz2H0f8P/xHfbqV/+A+wR1eK "]], Polygon[{{2428, 933, 196, 2355}, {2355, 196, 656, 2356}, { 2542, 1037, 1036, 2074}, {2764, 656, 1609, 3047}, {3120, 955, 787, 2313}, {2447, 316, 955, 2451}, {3119, 787, 696, 3118}, {2541, 1036, 693, 2540}, {2075, 1893, 1037, 2542}, { 3174, 1984, 777, 3074}, {3074, 777, 1893, 3169}, {2267, 693, 933, 2785}, {2268, 696, 1984, 3174}}]}]}, { EdgeForm[], RGBColor[ 0.43659299877601493`, 0.3063505337750136, 0.7306645923321459], GraphicsGroup[{ Polygon[CompressedData[" 1:eJw1VD1rVFEQnf16e+97C0vSCApCKjGFBiJGEUTXfyAE7ERNBEF2E7RIQLAL 2BjBwiKrKPhRJKQIZJGkEC2sLCyyCkbWXRtBkmhQQVOI53gmxWPmzZt75pyZ uW/gYuNsPW9m1/EU8ByrmOWKZiMVPfS70ayWmd0pmZ2GPZOazeDQKfirsFUc HMiZ1ROzBp4++BnOtfLymcf8J1F4fcCZxfs55D6HPw+/lwifZ3rAr8JfD8Kp ev4a3h/DbgPvN2w/6jZhh4B7D9x/lM2OwL+K+DDsIr6FgvB5LoG/32TLeL7C H89JA/mPJooztwO/BL+GeKugWqz5K1N8TxAn1vqGnIW8cJg/h7MrBfXlAno4 gfc87N+ytB9nb6Fxgj1KpbnufXsfhPUzEx/2iPxfIW8b+S9TcaM2xk/C30D8 KbRMF5XDXr8FzhzsM/ThRVDeOjAvZer5GOzBirgOwn5KxOE/lyDM28jpROm7 hliE/wg5Q8g/hOch/MMV1fuD/GVwuJITN/Zhp6g4z3Pu7Bf9dqZ5cW7Tzpdn WY91V1PNmHNoB81k1PvQ9h1oRmHPOOZWVP/24ftyKnzWmSqqBvGJPeW96iba LXLaG3R2y3dnxznfjZr9bBSH4DtDS430N6JwNmE3gbOEb7fgj0T1n3Ngz9ir ft+jyUR7u+h7xl5xL8iJfHgPeB92Yz2fywnfGe4O92vJ7x25Jb63xOJOV8Ht QEW7xJ1iLc6GnDlnzpv8hl3zjajvNT87VlYO61Jf1/3Lvs8fgzRNui7e+wnf Yd6PBefCXTtf1uy+lzQLzoD7zZx3Qfq6rvdLprm+SYVZ9149AL/XwL0fhUfc kt8x3rvd+zfuGniG+tag5WaUPRp1Hxj/DPwPZf0PBqN0NLwW+0/9LZ8P67FW 3rWzB4x1fCeD/0/m/V+44nPhvlEz9fLf0XQ+Tb/v5PEPmaS8Ww== "]], Polygon[CompressedData[" 1:eJwlkjtLQ3EMxdP2tt5HodRFUBCctA7qID5BfHwDQXBVO0pbcRKcBacKDg6V oqBOTkKL6CA6qINjcbBaX6BLxTo46CD+QoYDyc1Jcv4nt2M+O50Ji0gKOODV F0k3iWxERSYDkTdQ4vsPxXfivrjIbkykOSLieiJXrkieAQn4z/Segy+4KyBL rRt+AX4CfhfxPd9y5FkQIr8m/4W7SL2feS/0F5j3SH2ceo18lngGNNg/EZi2 JPhD5wP9S9R2QA/8NvJkyHbMkTvMPImYhhR5nv4GvXV2ZuDuU18Lm+YLdt34 9lbVpNr0DfoW7dHedfhHEZups0fgH+BPDs4ocW/ctKhHHvVb+g+ZH4X/HZhn 6l0ZbHrmiXqjnE7iFte4x+xbgL/qmTfqsXq9Tb5H3M7OO94/QF4R82zQM8/U O72h3rLKjLGYaVStT3BCaP3EoxrxBwgc86xV7+XZ7Et2FomH4+a19gwRpwPT pjfR25R9e/sWPSXiU9+81Z1nzFt2bZd6POXbzfX2ejO9nd5Ub6tvqpBXXfuX VFOd/f/Kalmn "]]}]}, { EdgeForm[], RGBColor[ 0.5320443312933583, 0.472314622958356, 0.8648329872202433], GraphicsGroup[{ Polygon[CompressedData[" 1:eJwtVUtsTVEUPfrufe/ec1+RSBkzKaViQNUn/hMjiYGkD1VVv4onfRqJTrQD QpDGwMQvJBoS74kGnRgI2teIX6hIQ5SqhJowIBIRrGXtwc0599x19mfttfed 3rxvfb7COdeDJ4UniJ2biM0xrJnQub94SgA8wvvbCc49xFoInBvH+Ue8dyfO fcG6L3KuFfe+4rwD+DJWl3ZuKvadob7xvNLOrwba0z4xF71zQzjrh70hYE/h 7DvstmA/A/tb2JfgowH7S8CmgD1vmEbsZ8PmUZjuwv53oPtfzS/jG8RaDGTn Gu6/w/4m7D3zwj/FWobvatgZwPoAz0HYq0W+ZeB+AFMG5hPWhcC0wX4D1qaM +AmAWQr8KN6fw9dhnPXhvdorvo2RYiumSbJy35zWXfK9CfuqCmFuMAbA5sSy OZYRN6O8E8jnVjzj+NabFp6cBaFWctIG3OdQcbKOTYb/ZOesHW3SHvM8ESpu xpxLyz7za7VcyCFt0xe5nRurFqwJuR8JxD/vNlgu9Vl8x35RVnWuNC21etV/ D9YXlj/xfzLKeyW4X+ylszfYD6SkA+qE+U4OhRuNlWsHYliR1fkH3GuLFXN/ JLtT6MMprpK9v87I7rlYOsobb9Wwcwa4mVjbcb8TMayBzYWxMHWxvhFTkxWX 5JQ8M5cq80XfjOEy8Cexb8fdXV46pJ5rgclH4pU9xNo2Wj3ue9WiB3cvxMq9 JhbH1C37sFChd+7Za8RQ25Ng8yf2Q8A3Z6X505Fipz6YYzaUJqgHrpH14E/r UWpjSqQe+xCrdhnD7E7JN/2yjyvtfNx44N02wxFDvfSanse8asRa1XtpdAFy n5/ozuNY+C7r3yspxc36dEeq23avXmRd+qzfllqvMPaCxbAhrbwY9xLTEjX1 LVH+I9jvTcTZgkjzi7W458VDp80x9uoh80Xt9ASKgzUcNM5Xe2H2w0bBi3Ny T42zNsRQL+xxan0ezteF0sBar1xXI5YSchjG9+uxvtM+Mbdt7vRh3ZaobtPg a1UiPskr+ztj/bXH+iuP70cS9TnnKzV4ICV9si+LVhfm027n1FHZaros1jn1 y3o+tdpzbpEH+ipavWgnF8kXfXIObEwrVnLD+UIO70bi9Q7imejFRV2k/wr1 sgX7l5FqxFqxzs74Zz89t3lO7TMWzhzqkDEzZ9Z8wGbFj0QxvIo0s5kDdUbO em1mDls9yDP1fjaU3uifGiKns7KqG/+NnItNNhv/z1fT23L4Oo73Xxlpi/db EvVzo83GkVi5vI9Vb9b9CbCLrBfYE5y3tMNcd3rxvMNLOzmbq4whZ9xW2X+I NfwHulgFoQ== "]], Polygon[CompressedData[" 1:eJwtlEtsTHEUxk9n7tS9c0dJumDLZqJCKlGjId4LVhILidYjoagmhqmS6Ka1 EBFSsbDxjERDaC08urEQj44Fio5XiI42EqlERLSViOD35Vic5Jz7ne+8/3fG 1j3r8gkzW40EyGBk9qnCrIBRnzabiM02VZpNTpmVsfeC9+F3GFIB/e8kszNg SfyrQ7Pv+K/HP8O3l9g1+DQlzfqRd/hewH6EvhZ8Or4fI0/cAyeXMdsP51Dg 38pgRXKOB55Tud+Ab8T3NJLFfxV4Z+A+RbBlxDxO7A7slWD3kC/084Kc99Gf EKNA7R/49hi9Ec5mfIfhHIF7Crsn8BpVa3fkXMVU7IdICfwg9TxAn6CnTrCf +EyBOw0ZBWukvnHwHeTsDnyGmuW+0GtTf0PE/gX/GPwW+POwzyEzEz6z8+hd cL6lvIc83AHi/Q58RprVVewh9NnEv4F9Hc5buIuVAjsHPgq/FZ9F6O9j19vJ cRe8FHnt2rl2vxy8H+5UOCtij6nYmlEW/uvQe2tAxmLfoXZZC14FPhL5LYwR bxi9nh31VnrMP/Q6kvbYJXJeBn9FvDDlN6Pb0Q60C824IfSb0+1dwW5Bf4qc TPgMnqHXZPwWqog3C70u9tvVjuej30l7r5qhZnkRewN2Fk4Re07ku9S3uZH3 pN50Y7q1BXzLq1akQ/WC58A+k+M2sbYj1Qnf8c6071C71E3oNuqIcavCb6oV /KZ6Cnxn2l0z0pb0GCfAtoR+m/K5lvY3obehGS5EryX+rqTXoFo0Q80yIN9z uD/IOZB0H/k2xf4WdZPb0LvwOZD0nEvAj0Y+u0Hyf1W/oe9SN9Sr3mOfvXrY jX428resnWl3fWmfhW5Mt1b+/571JtvA20O/Be1sDfilyP8duvmlsdes2jXj HNg/lBKk2A== "]]}]}, { EdgeForm[], RGBColor[ 0.6106365743911842, 0.6027852509454015, 0.9105659952453482], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxFVm9olWUUf3fvfe993+etnLayPpjJohW1xUpjZptf1FLvRkWhzA9uwe6V odPablBikGEtiHKWEejKTBJ0f6gZpTAItU0ta66pSIWmTLcyWNMtaMv6/fyd 6MPLOe95znPOec75nfM8s55d+1RDzPM8l+d5cdCKhOfNx5cG3xB63nYI50ae 15vyvL347sHaO77nvQq+Bzp+SnwLZJugewzfUsiXw2gW/CnYHcGePvDrIXsz 8LxG8OWw3ZSSXdpca77o8xD83Z30vMOgD2BPHeT7YWc0Jh3aeQ56reDXhYqL dtKIoRb/Gax/Sj+Q5fDd72kvY9gNPgN6BF8ZZO0pxcEYFmFvMX1gbwz/Y/B5 EvoL8d+N/6dv0J6j2PsV1saTsj8Gehz/9dBdge9t6H8C/VVOMbThK4wpN0ct P+ss/h7otOGc+bDRzjz7Ok8R9m/D/zX8bwcth839kD2JGEpC5bYYtDkmO8zJ h6H8bIXuGOzOwt4rTvVhzVijEvxnYacWOo/xzDHFXAofL2J9NKWzX7Pzr4pL zpyeiaserMWdTnsLse8S9tRDpwj8eEo5LkUsZZHyfjpUjgpt7zDs5HxhpM9X PZjP72FzAn6Pg27xFTMxxvy1W42ajGdeW3GGqbDbEckGa0M7rDP9MicbsWcE si9gJw29DyC7iHhedsLVfeAHwRfA1yXmKqE8bTTKGBhTI9ZKYGMnbHQmFR9j 240YFsDmZqzvCNQDLeAPJlXDLvh+MJT/w5CPY30wTznK2TmYm3nQOQE7l2Gj 31cPsheJsT+TwjBtzoJ+QUx7x02eH9PeGz3rBV+5+hX+poMfcqpnR1Ixk3Ya z3OQb04oXvqY4ckPecY/aL3HmJvNDjFy2cnvb4FyTCzynEuSNhcSwp5vsyLD WuD8b4AfSigX74OfEsg2sfM48H0BfAFkn4fqq32gGxDnH6ZPOmL814hhFLYO gX4Tau1b0NO+4ZvzLBImdkHuAuHvYKh9zYaTOvDZmGJ7BDF04QyLQYuc5J9h 3+/gc9g7PxS+GfNfiPmXUPk4H1pt4qpJeyi8P4y9VaGwQYz0hzr7D6BXEFuI WH90wtEmmw8XQvXfeujXRsIncVrslMdO0LOh8p6DzjlfvXomT7Zo82enmdhk MzARqIc7bPY2mvxUqBoPgPrYcy/sx0FfCFTDzZxDWJsBfjLU+Vj3fJvNxdbX U7GnFDpTnGTENeWkjTYDiR1ikfm6OdB8/SclzFBOnAza2ZmDmkDn5bkHLM4M ZHOtl5hL9ugW61PuY4/TLnt4wvqf/XRLUvcac7DM1yyrBK3ylQfOWp6NNZwd CXNzQG+LFDvnK+8BYou4Yr7P2RybF2j2NEE3i9h2Yb0O9HmnXpwTSP/6HM1T XeiXM5r9XWkxtGL/TNC/4WuN3QcNoKud5Fxvsn47a3fm1YQwzFnMmfwudB+1 eCaIE6eeHo+Ed+KefUpd9hfn/yKbfaw575MRs8l75mRC9zjnRIfNivORbHC2 VeCbBt23Avmgr4zTnG4znOUMn8wV7/as8bMDzZir0C9Lai6wr9lv7Ls9kB+A zTuIpUh5Y844q77E2jDoAej2YG0A/EdONignVqYZTjkbiZchk7cYXogR3of0 Tb+3RqrF9Eg1LLD9HU6zoSbUncO7uBz/T8Tkl3d/daDavh6JZmye9NobI20z 6Zjdu5yvtM98EZvd9u56z0lnq9PsXGKzmm8a2vw41FuE+q85vSl49y21ucn5 WYMYJm1tRyi80jdrHbceX+PUq+zZJqezVFutu212Mp7bnd1HsP0T+Hy+pyLN HeLwO8gWOuXyiNP7if2/AXy9YY8YvIjvGejPDIT9Sqsl80ff9Mt3RLX9c8Zz LjOHe534lcH/+V3BugfC9AKn3iPmiX2+B/qsx/fZPVJlbyjer7xbV0fCHjHY 64Rn4voupxgKnWLIGiYnbQbWONmpMAz02/3a53Q2nnEY/E1Oc4Pzg3UmnpgL 9tOA5ZnvRMqJsWX2FmLMWZsTPDvvec7Q/3JKui3Qm7HO9B+yPuKZhuzex6+3 2KlfXwqEJeKefc53xvX3htObkud5xen9kLb+4luHb56EU73SNqP22J3YZXfp cqsd97CeXXZvcRafcJpPozZPWAfWlv2y0rBETP0LADG1kQ== "]], Polygon[CompressedData[" 1:eJwtlVtsz2cYx1/t/9/+fu/fqDGyC7aGrMRUZEiR6gXtZolDJMuEC62kLTaH oReWENuyhQuZCSJxCJnMxbQuGodKJENb1GG1DXEhmYlDHZKqwxKm2eebr4s3 eZ73+30Ov/c5/IoXrZi7PC+EsJKT4dQkIdQjdOeH0JGG0BpDOMZ9D3dtyH9y 9wLsIHf94W7nDMfBocIQFvUNYVIuhN3gPdyVId/EJs2G0FwQwmTwL9BL8DUU +6XITfi7Ab+lTwiNyFPxVwH+BzYN2C+BMwhfxfifjf0V9Odwe8VBboRThO+x cDagL+OMAnsP/18iV+HvY/Tr+Psabjt3e4i3EX574jthJ+FUSudsRM7j3CKf avhDkYvwtxD5GaeZ+MXYPJd/cnpB/DH4qxIff7fhDgKvyfkb9C0t+CjHdwab 0uAcs8insekin2v4PIXcBH8A/srhFIHXRb/VAfj1yK9Tf5ty6kWu5Pxb4ByU y4y+fmvl8AlyGTY7g2s2CXk3/nuzflO9bU/O36YaPUXujH7bT/HRQb5d6J+R 2xDwB9FvrLfuRF8NfwKckfDPoi/LuUaqld7oI7DR5Feb7xodAr+MfTfYK2x+ Rz4KPgd/l7g7gnyOu28z7rmzyK84v4Gdx8d/yK347M64hl/Bv5661+7AuYZ8 m9jnwOo4H6Jfio61lfymEb8uMbeLu+NgP8Opw34t+Licv1nf/h14Ffg30bVT TfaA/RDdK++g70cfg309sT5AP4P9WPTF6A34e0QuJxLHuq9vwnY/eAf495xZ yC8LPUud6BXYL4bzi/qNnDZje1g9gL4JThPyXWz25nkG7iBPwGZd1jVWrXsK /S3KQbmoRqqV3nBK4pyUm3ou6nvA/0a/AT4fvQR9adY1UW2mR8+KarYG/F50 b6sn7kbPvGZfPbAKvTa6V/UNPyZ+I72VZvpdsAp8NuS7B3cRawhnZtY9rF7e Amc68YahnwAr1zfAf4vvm4y8K/GsqafWw61O/TaqYQ3yvtS9ojfWW7fpe8D/ In478tPo2VXMwehr0MdlPJOrVZ9o7lVOI7HOp96FTzgXUu9E6apJdWKOuOqB UrB/Uu+Oq/gbCNaac2/MI799+F7IXe2b/SrfLehlBd65pdEccVUT1UY7Qbth PvgIsJ+ie0dvdFC7NxpTze5RhzbunmW8g1ek7iH10tucqegTE+9a7ex+0T2p 3lQOymWbdhpYB3c7kJfnPNva2drdB1L3qmZQs3gm+t+gmIq9JefZ0QxXgm2P 9qUdrF18MfVbqmfHw12QuPfqiVkCd1biXaAc3ke/xTd9nvU/IpN4pjXbuhOm mdZsa2fPgP8QzpU899jj6J5R7+huCnJz4liqwa/RO1a7Vj0wAPl/T474QA== "]]}]}, { EdgeForm[], RGBColor[ 0.6808153904555608, 0.7155430808975836, 0.9121658560979083], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmH2QV2UVx+/u/nbvvc/dUShEUgIkyAYmUaiZ5EWlAoVCx2aQUiwWmoQh ZQFxZFXSmmEHyBmBslArGCeFVTRUUKhW5UXAVwTHlhqpbMKXtSbBGhCxvp/9 Hsf+uPOc+9zznOc85+V7znPPmjnvG9fVZ1n2p7osa9D4XGOWbaxl2Ta9D9O4 R++bRY+s+RvzvfIsO010pedgU5YljQ0SMrrZc6+lLOvQ/AN6pkvmzEbTl0vG QD1Piu6d+R2+Q9p4qOinRffX/KDc9CPa67ngQU5Xk9du1PwB7bFbczeWWbZf 9H/F97LGZTXTq6XPl6osu017n6+xj/boJ3q75vcWWbZK431ae1Rz/xH/u5L5 b60frPf3NP5Fc3/Vs1x79NfcGXpO0Zq3tXafxlxn7V3veXT+h9acKbq7sA2w zwZ9XyB9+4ruFD2/wbKQw3kHNvqMbyfr9layvDND5nDx7ND6QaIPJ8t5Q+OW RstF5p2VbXlcZ7lW8o/o2zLNNyWvn6fxGs29JP4rxTc6N/289r278j4Xau0l 4n1e81My2wM52GSD6DrNn17vuMhFDxH9CckdpfcbNC6QnCfFO1pnfwI/aO1Y jSP0bbbGTRp/WfkcmeiNybZ9TPxfyL3vM3WWt0v0CLEt0PxR0cOxg/Y7Ivqs es+35n4/Ozc/MTk4t62I1RRxuVbyztH8XtFPa3538tn2JMcSPMQtuu4RPUZ7 fT43zXkuqnntBZlldUXsteemWYuO74Weiyrvc4HO9XrNMXSleFbJL68FfbV0 u0rPZPH3FX8XMpLzgzwhzjfl5kGvFo2z9OwVPVnj1xq91yPiOVv0Ia3/IJk+ kfx9UvCsz00Ta03aizx/Jfc+s2Iv9JkOD+tiP2Lh5tw8LfH96tD5qqDhv1/n 3C3eldp3TPh+ofa5WHSn6KnKkScVW4d1/qc0Pq3nTdHbNcpMPbn4ZrKO6E0+ TNb7cq19JVn/XZr7rN5PNlkPdJig9bdIzuna6ybxLNZzQt+/XO/xfGyu9XvA AfJF/H8W/9mVfTU57IN9OQe+nt3oPJmj+U6t+ae+/T7sOTl025AbH/DZ/TXr hm1HS+7Nmvud+BfVvJb3d8TfJnkjtP9c7X9U8+2a/00yrjyrdbsKz+1ItvfM 8PWgJmMfPgIfoV+UnisbHFvE0q5kmTs1zql3vCG3Wzw3gEX1PhNnI9+PSY9+ 5HBlLNnWaFwEq7YERrVUpmdonBNrsckA8LnR8d+tc91ILEjeFPH9SusOgsGl 8X2m6G/VvJ61b4h/rsbPaP5z4r9c/FvFe0J73x54dXNhv+P/uZVxcaTm2ipj w0TRZyTn5I80/qDymaZofk2yfX6m8fHSdrqsMNYRAxPqndP4G18vLo3/1IGO 3H4FU8BeMB18vkLv6zW+Lr2HJuuM7hOb7Et0PiCe/Xq26+musx/XZ8YlsBKc PLfe+ASG4B/8hO9+nByvvy6M2+gD3i4kh0SvyazzOfXGpVNFL2nw++w65w45 dE4y/1bJ2aFz/UGT3yyMUUtz10t8DP94fVvQ4Pp1SmAXOAq+Eq+cAf05K3Lm Rix1xzv7wwsOL06m1xTOeXL/Vs2NrjcGUkdeiLWc90jUWew2JBkHwIPLmp1L c5IxnHpDrTkt4pEaeqjOdiO2txEP4rlD/H+rGVv59kHTxxhALBKTLxc+PzFJ 3J5XWad7te+Kmnlelcwjyfn9L42nhm2kVlaXvJa4Xh3+oeegfhJT1FPi99qI hzuTc/cnyTHSHjZ9Pxlnjmmclrs+EVtdgbngLTKviTxd2uBzgGNgKFjaji5N /sbexBa1jlr59dL89xWWuyHiljzAl/iROkbu4Bt6K3CLHKNm0icgC5/gZzCL +J+au8YR3+AGMh/NXXvAXLBhSPQSs5pNP1i4NyLG3iqcfwPDXs9ELnKurtK2 aRXPs6V93CJ6YrKtny3cn5EXX63s20Oxdl5p24Kd+Gpf+Ou86DfoOz5sMoaC n78onIe3af7S0nLWld6DvfZp/sHKeTZc8/dWtmuebPuuqIl9KteC0zSO13vf 6JeO6n0auVQ5xsEI4uHhynn/SclZVzg3libjPrH8Xe01oHJdG1g5h8nlx5Nj BJn4c3XUslvF81Lu/O9f514X/YlJzo0NkUs/hb7g5q7o10ZEDGAHdDoRMYsP Hg8M2VY4Hsg/ejV6vWGBY4/VjD3k/qKob2AF+NEV8+w1Ku4OXymND3dJ5rhk furkwshn8I3+qyv6NGrci4E59D/0kOOobbnjGewi/1bFeTkj9sT+fO8Mnk8F BmFv+tYBgSc9/Wudz7U9MHR85AKYTx/cN+ohsqro37H/+1E3qZ/Yf0futX2i B6YXPtlobEUWOAgebtR5i+jD6ccfCsx6ONkPI8NW9H4dcT9C9s6QT//zTPRw 2GRv9IVtQY+LnrQ9cJ616EdscL6XQk7v5L16JdeE9shrzsde5PX2qGX0iPRr PfU7s2/ptfDvxGbT9F/UV/z1c8kclKz7pYV1OBA18R7p2lgzxjLWgt4fPOg5 P85Ij9eWXGMuLn0edO0ddZC+nPijL/0w8hrMpMaDKfSB1AD6Q/oGsO1dyVtT 2Td3VfY1d0t8hD+nxtmJC3Ce2ECX+WHzSdH3DQ0/4Wtyh31Oxl7kC3WL+CK/ uG+cG/g8LHCVhxggB6cGlnKuXXGHgZcayD7EIb0D8+xJnHNHIqbBAM77fNzL 2BfZ2GVJ+OipyjgMHh+IWO0f9ZNaSS0+1uA+gxyEJp/J5ZZkvbhT0uutjbqJ vYhtsHZM6Xvs6NK1cn7Mt2rc1GAcflvrrg/5y8Pv5Ox54Rf6uyeSdfie5gZH vzhN9ITkO/kd4plRGCuoD9yfXgj91wWGry3dXzBPzdoXeqBDS+nzztDYUbl/ eoB8bPZZxsadd2/g5MuRY/SI5NamyK/vlO65v61xYtw7yIPfFj7nVul7e3Jd vqz0/WBDxDOxtD7oneEL4m1H5Ac0dwh48D39NH31uxHTyKTeYb9lYcPW6FfJ S+rwo6En979Hgl4cNbqnXpa2yYrCsXdF7EuMd0Tf2xZyFofsjtCZfVdEzhKz 2wMf/pg8f0vxMR6RC9RbcnNS6HBTzJ+ZXC8vLNzHY++fJr8zf0Ple+be6IXw 6crwda/Ctepg6VoyPHrPLTXXJGKef1QbIteoafRe3XF/Rz414prCMTk22b9t gaXYBfuUzY5p4nlc6T7polj7qt6P0xuVxnViZEz0Qm0fxUlyvsxI5iWvyKnr knGF/x+XNPvf2aRm5+xjIWdRMjbQdywRvVnzdxeOtS1xxo/6J3rOCWFD7kZH ov+kNiJvc8ikN+kM/bkLrvy/Pp6RfKHnBnfukZwfJmMbPcuEyjK/WLqnpLfk vnJ+4fsT/3t6RU15qHK9pG5Sa7hT9os6yr8BdCaGxxW2Kf9IuA+z/5HcPsFW YEVV+L6xU9//XrpmHNa4MBkTr0/+n3c8bLs0elQwa1rEds9/yNDzeHJ/0hr5 kgrv+074fmj8YwHnyQf+CXQE/hP/H5buH07GvYr+mP6kpzeLvRqTcb6W3KMu jrzjLk+tmh714qb4RzE17mWsJVfgIfapHwMCb9F3QejDHQ2ac7RFjk6O/hwd 6E/KwrjRHbq3xlqwc3bg8Ob4B8K/kFGF/c7di7lDca7OyD9i5tMp7ibi/X5y fl0bfXVL3Fs64h8F65+Iezf37/8BTM3jMQ== "]], Polygon[CompressedData[" 1:eJwtlnmIV1UUx+/M/J7z3v0JKqmZmjO5QqLlEjTqtFjjUmYZgRWRjkgprrkM llsWKFmCWlaTSlaEVmoZKi7lbhpWaFnaopXmbpGOhWv1+fb1jwPne8895517 7/ec824YNOrBkYUhhLeQHJLVDmF0UQi7WTyZhlCcD6ERBu2phd4uhjAUcLAg hIHY54B3YC9jbRF4Inv2JyFsYK0neEsWwnHiPYN/BFdhvxPbHUhjfA+Be9QK 4W/wDvBa9vcj1lfEX4M+irW22ErxH4lehOwk/o2sJeiDkXrsLy0OoS+5b8Pn FN/bh/9W9CPYxxB/NT6VfGsZsgbfrsRbir4c6Qi+mRgLye9H9i9B749PDbbv iXGJeKeItx99HGt7kqsx2L8AvBi9KfHmo9/Lniv4XkZ6ks9e4s3U2bB/g16F dALfBB6P3p395/QtpIL9z0ffzW3Yn0OfjnQhn86c7yHsU8Htwe3AD4AHgUvY X4/9lejTos/SHns/7NeS02Ty389aQ/SzeZ8tcoaf2FvO95/CXgf7S5ynDfaf wcOId4wYm7AfBU8QN7BXI23ZO0Vviv8H7K9TyzkptyHYx5PPeezf4jsZ/CI4 h/wG7gvuh34Q+0pwL3DvnDkj7nQDl+d8x7rrEP32OmMB+hV8mknnmwuxjwQv wT6D749CfwL/sVe/vxfcDZ9x4JPIemwXMt+VOH0RfR72z3jbz8Gv6u6QauxD wB3Q++PzSM53sJH9bTNzZxVrU7C3iL4rcbwl+v3Yp6OXkN968nscPAdcxXl+ L7ZIF0fzxD5b7Nr4EtyB/e9k1g8QfwX2EtYeS8wpcasjMqzINaPa6QYeA77C nmpwz8xvozd5H9wAuScxx8S1+alzX4lMJt9bWBvB/lnsuUQur0TfxSBwC3w7 s781eDt4OLg4mruqyRR9BPJezjWp2hyHLAPvAtdBfz26lnexVo3+p/iaOKf6 eXNAXBDnVmXmjN5Ob/Zk6hyV62pkAfhwZi4lyBH009gbE6spchr7zuheUgOu QJ8R3Ysacv63U3NQ/qrJSeDZev+ce9hi8HFkRZF7YFlmDimfC8h36O9i717o N56Fby66FxUrPue5Jrp2VeP10Sdkrv25+DyNvpS1X7AdQlYR6+68bXqDCvTz 2FslfvNm4BOpe7HeOK3tnqLeohz6EO+16LstZW1J6jvSXanme6h2M9/VAuL1 Id6+zGeZBr4VvBZ5NPgO1qEPxD4X+2HwcmIPRBahb2b/ZWzHwA0T91T11k+Q SeTyB3s2RJ9JZxPnB7C/Jrr3NMfnL/TZeb/NGThRpXpkbWOBz3wR/Y28uaye rt4+mBgzye9XYi6L9pHvy9h7RPdM9U71pLvYW5l6No1VD9RbgDcXuIdeB94D frPQPemH6Jml2XUQ6Yv/utS+6iFrxL3U39ab6e1ak9/QxD2hOfgS0iZxz1Lv WpQ5ltYuR9eAakEzpl40R8QV1chY8IroXqMzfhRdc6o99chS8H3E/IL8W+Kz KW8Oi8uaoU2wTwS/cLW/qjbEAXFBPfV67EtT+w4hZiv8z0W/hWpata0epV61 Ezw3uqeqt6qmh4MfTj1LNZNbgc8gHxe4hs+ij049G8WBcvCH0dzRP4L+FTST NZvl04G921irybmHqZf1xl4Xe554XWq7B/3fi7DXTd1z1Hs0Yzul5qC4qBnw T+YeqV4pzlaCS8DrEnP0KN8qy5vrmhGaFWujZ4F6vHr91ujZoZy2o++O5ta/ 4K/F/7z/HRqoX6WeqZqt4lR56p6j3qMZ2pX4t2f+F2iifo//CaRR4pyUm2Io ls7ci1jHsW8p9J6T0TNes14zqUJ3mzqWepx63afRtaYZq1l7IPru9M+ifxfN dM121ewA9GfzfltxaKr+XaLPJs6IO/qH0L+EarAsNUfEFXFcXP8PMf5XJw== "]]}]}, { EdgeForm[], RGBColor[ 0.7509942065199375, 0.8283009108497658, 0.9137657169504684], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxFmXuMVdUVxs/cuY9z95ma+motCAUVYwlGNKAitlZGGXwB4Q8BLTZVsPgA NLGAPBXG2FqVpsUKNha1iqIWR0QQRoHwUETQilDftSa06igFG6sySu3341uk f5zZ+66z9jprr70e39rT8/JJIyaWsiwbrD+NGi9tyrKPy1m2OmXZ9EqWTdPz e9FnVPyb+aSyfzOfFvR3GrKsTy3LntK7PpK1W8KmiP6J5ifradf7s8S/WzzT NV5Wz7IPxHODeDr0/iTRV5fNe6nGa0S/Vnyt4jlbtNP0NOWW+7zW/qDIshGi Pat5h9ZOEe9ozY8XfZjovTQO115WStZs9qLfL0iHIZJxlN4v1byn1tT17kTx XK9xkd7NkfyV4u3Q+EaDdW3X+x3SZ1DZ8l7R/AyNP9H3fiO+F/mmnvskd6jG Hnq3vuJvHC3d7tfvit7Nl/xp4n9EPNfpWaP3p4u2S7SdDd5DH/G+qLUr9HuR xnv1vC76kdKvv95N1fiAxg2i99TYT8/Wiu37J803an6sxjc1XqDxfD2tms/R s0Ry9utbd2r+mfT5i/T/TL9f1fiG9CxEK6TXG/rdKfqbGnfqew3i/0j0l/T8 WjKuEn0X51zVOZXM+4m+/4zetWk/40RbonUXim+u3rXoHHZp/rl4Zur9Asn5 WjLv1viIfreI/27xj03ewz2ij9P7K/WMz3x+2P0x0VdLz89Fv0O/myVzuuSf K/kf6t1m8c4UbZaeLyTza8meid767oWan6v5fK09R+MS9qa1j2r8j2Q+pLXX ar690Tzs5auax/6iD22ybuh4UZPP4ArNjxXPo2X71DPie1/rV2lcWbPNJ+vd 2jgPzmJuxefBWdRzx8A68Z8pnWZKxsDC6+DZLf7lkvO25sM1L9e8nrW9SvaR vpofXbY9Ob9lVfsNPoPvMK/o2Sv6JK3fo/FlPQM0bxb/Ns37az5Q8y1VxyEx uKlsHmz3sMaJeo4rO0bhWS/6Co2zatZtQs3ye+u7mcbZer6RvNH6dmfVcTVV tH2an8c5BQ/nC32yni+rjnVG4v1m0W6qeb+s3xfvLwi/+r5s9Rq0mn0Onxyk +XvSbanmJ9QcF+jB98gL6Dszvju24t/M+SY6vCuefqIfxblq7SjNp9Ss846q 5ePz8E4NOnpNDf0HV2wr7MA4IeZtNcsZWPYZQH+9FPmy5lzwfNU6c7YvVE0n lyK/M+w2O/RnT4PC/4/EZ0RrDFtNK3tOXPKUao7POWFPfhNfDRpHlX1eDWEH /As/OyijHDKn6ns36umK/Kp/f6vkeMTPbhf/3/WtVxqct5sr5oH/QsVLf/3O pef3iIeKbUtOZDwss72xe5mcrvktNcf4Qf3Ikatq9okpZedRfLp3yX43IXyb +QG6lrVI3qdV824ixsOHef9p8JAvoZMzkYWMHhp7iL44+Pk29iZHl8KGxGpD cq7PkmlzwlbYA/2Jwcagsw4brNPTpexzzMLm8LYG/5qqbYEduorvq4rt00/f uFq/T0nOU+SrfTXbqj3Wr61bx5G545p8Q83bVHctG507d5PD/5sc79Q0Yrla 2P41jUP03E/9rrtOML+t5Fp+ack18RutP0H8+zXeKL4HiO+6cxL1lLyEz7Ge HHpXyTzIwfZ741yQcU3IpU4Q18T3+XXHPDX5Cs1/p/nlGv+s783XfGzd+kBn LbWf+rk3cgF1eaTGMVGjqdV8Z37wE0/7Ii/NLpxjbyqcG4eVnffIBehDLjpd 67tI/t/AKXX7+fDcObQ1eIhn4hH/IW5nxJz6BJ14JR9Rx8FCbck568mo7acG nXy7OHy6f/hLY+SQJyJXEjfQ8Q3iiLiCxp7H6rk18hV75rzzZGxRS8Zl2A37 bYrcPji+0zVkcubUUM7rqtyYEGxIzceGyKXm4f/gHPy2S+jwVd1yTsydn8eF Po/r2+M1Xy56Z90679NYEv0YfCZ3Xe0ZOjBCB6dRk8A62A9f/iT88DvJdjtN a3c0uhbqGLMjkvkP19gXDKB3D9SNN+c1GnOSZ7HJisBO5ADyFbboFjjqAE4M Hd6q26ev17e6SO5r1PfCMYc8/A/fGh+6LSws78y6388Ln+yT+1zJi4+K5wxy FTGUuw7fmoxLwCdNhWvEIVX7FHs9vGo/adb8u5oP1XxB7vz1kPgf1tMk+uLC 9fqwqu23O84c+4FTyNfk6p/WrfPTkrE56hR171n9HqC1fy2sO36F/rw7NjDw 2XXHMdg2i7pEvmzXmtEiDWMfev6pb44n/2jNPyqu0b8q3DdcFv7VEXgJ/xof OYE6nld9VuCsUtV+B6burNj3wVqspS6AVT+PegT+7Sn+MZnxTLeq43UF56L5 04XzKXn1KY0P5sYXywvHblPUlwcL57OUHOtdA4dQ//A5/K09cgK5YVvUQr6L /0+L/gh/6l6yTxS5fYR+6DAJOEc8h2ocXDjuWgrHHnNw7bqq/RB/xEbY857M Z9kR50h9fCbqExifGCb/HpK7XoBzf5Rcu8CbG6vO1fh/Y9Qo8AJ5A5twRt/O /4+FB7BHrf2QuE4kHvFqnJXb7mOajPHvCp15T86/K/AM/rIm3t8WPHnuuKGH o+d7P/aC72Nbci6xQ/zC91bZ85ERT1vDLzty45K6dPgXuF/zQ5pspxtKthX4 qn/kkO1hG/Sgt0A34nB/2e+g8545+8dWYH18D3x+c9T6KZGPwWYN4Xfs653C /nh1bgzVGJjqF8k+PVnjS4FnkDcnOVbnahyQWyf6117J/fCo3P5Fz4t9qNnU bmKfsTnmYPKnAyMenUw/W2uPSca/9MfHJ8uhhybu8CfsMyd6Dn7/MFnf63L7 wdXBc3JyDPfV2C25d6OHG1H2HJ8nnvH31yT/57nPgBwwPubPJeMgagQ1Y33Z cUkNnZgc55OSMQz5kH1Bw/74atdkOvlyRm6fo78Ef78bcu6NvofzmJ6cQ2ck +05H5DGwERgJndF/a+yBvhN8/Grkj23BAy54NbDBHyTrZepd7pzUI3pAeKFz VmCHjWXrc1/hWkatawj8DfZbpN/bRX8st+ztIX9hsj4Lkn0P2dSg3ybnVfIr OWZbfOvk3DWMPnVr4GdscF7u/vNi0Xsm4+mLc+uQBf4/P3Ile1wbv7E5eQXf w9/uTM6h85Jtis3x8+4p7hkksz13rJ0JtozekB6L+5NBgW3QeUR868e5341o Mh/7x8brCveUF+n9smT8wt0Dsq+KvEQuJxfjN/QT/aKnICfTe3SJHuScmNML DKkY84M/W2LePfgP1v0hUfvfrHkduK9X3Ck9nts3xsbZLY/9DYs9sJdW6du9 sB9+GfGBn7HfIwpjxL3JPcfgwBjkKvREF74/OHSjBlF/wJBvaU0VG+Xu6f8Y /k2s7o56sCZ5/mzyO/g5J/IyuWlnnF0l6KXoY8A05D9qOvl5f+RG6PgNPvHL 5DuJuZEjhsZ91/bcOZ68Sc4cGPcY63Lj64M9PfcAl1ScJ7lX2BQx3ym5x4u+ T+MXeo7jbiq3LseFPmBN+gT8YGnN92/00WBh1mJrZI8OXNK7Yn7wA/jl48hd L0f9J35OTb7HHJf7Dow595l9I7+tSsbIvUMO93/N4cdF3BlydwjewTfAgDsK 34WeUtiHuseZdsY9yHmh/6jATug8KuiH5rb723X7QEv44Z5kOXty9wT0pfjQ v5PnnyZjX3DhpML3E/QU1wROuyRsMiJwH7GMz3UL3T6IfLgz6uR7gSvAG2Ar cPi4yJe3Rn9Kb9oY9xsPR5/SJplPRg1l3if89rm68eCaunvr14M+LZl/Ye7e aFnZ9NboZ/Gt5wP3gb3mRf6ZVfgMqRmcIxicukk95E70QL8QuHht5DFkt4X8 KcnywHRbAhefFfcP7I0cQmxuivhkH22xL7DVqrh/aMkd19wrg0/pI9B1Yqzl 3oCYbg47U+eQj90mRx+H3+LL+AT+QC65MvIg2Jb+iDOg9oLJ8H/wC3ZhDzOj 1uN/3MmxH+zAvSe4ESx5U2BCYhLf3RK9A/dMyGmPfp0aQ30BO3OnQ564OfaL DO4h6M3wB3wMffAV7t7AuNR7ajLfHxryl4ZN6CnYIzHLnRZYkLgG/6wMe4Lf mZPPqBsrAsMQ30/EWmx0AEdK/oa669PGuus69f36wvZgLfWjPe5HuEeiZ2qP GsR9J9iC86NObg0e9vtS6DMmMAw9yiuB9cH56NIW+nC3T5wcuOcvx/15Zvtt jfpLjdgSdYL7MPwBWdhjc+QC6u226ONWhg5gsTu0rw1691DuOwywL3HIN/l2 Jfog5uhA/0bfRJ9NjiXfgSXot3ZF3dxTeK+zc/s591/46oS4cyA+qWesJb7e jj1AYx/Lw7aLI/ZZmzf5bvCj3HG5IWITvIZfgdm479kT/RT/r8A38L0Xoq89 I7D05rAt/wMB8x38Pwj32tQ8ein8jVx0UtwXcB9/XbL/LircN2DjLiGzLTA6 PTQ1le/x/xlsh91mxRmxr58l0y9Pxm7rA7+RU7A7/k8/zd0CueOW8LHWOPPV 4Uv/A4X4hHM= "]], Polygon[CompressedData[" 1:eJwtlnlslVUQxb+W916/pRLZNFJaBZEQAoJIiSwuDRgQISUkKoSgkSUKJCwG KdAWDJBooqARFIpJ2QRZVHYplKVhUREUgaIU0GiCCyAghoBs4u9w+GOSOXfm zt1mztzmQ8cOGJMdBMEWJIXkJEHQKR0EO5F/oyA4mxMEE9D/qBcEURgElUij TBB0xvmeOAjW4N8QvBU8HVwJzgavAo8BNwL3Yv4U5hcRbzR4D3gp9keI9TPx m7JuT8YaYlvK2L3M74G9GfO7MjZD88GPg8fGjr2PsQz6cuy5+JcRvyfxH2Z+ M+y14BXg1thH4zuYsYfwXwoO8f8c/Dp4GbhNtmN8gt6O+XnYapgzEpyPDEKf Trw+xGsJHgEeiE/z2HvQXtqCQ/SV2OsTawO4VPtNfFeFSJPYe9LejiIr0Ycy thjbLmLcAo/IDYJq7mQWYxeYG2B/IOU71d0+h70Q+1dZ3Ct7ncfYjbTPrLP3 Du/YOFM+cweGPvsZ1ttN/GLwAPAv4M3gNeDj4PfAQ8Bdwd3AB4n5ms7OekWs d5KYQ7BtJ+bv6Ofw2YH+NmN3sdZBpAvznwTvwt4NnIf9+dB3dYr427EXhX7b WuKXEL8fuD/4BHgauJY5AfoHzO+D3h2ZkO01X8G3BikHV7Gn4eztNHOy8P+a aX+i98H+LPHqGCsD36/8Ye2fmFOAvi/xWUeA14ZeQ2tdJn4ZuAn2Uuw/MtZY uYIUEouh4ChrXuUM9xH/GmMfYuvLnP3MPczYQmJNiv3WHfAvQd+cOHeKiPcx vi8gR/EvBrfAPjF2Lh5Q/qMfSXzXpeBa9PaM/aZcVL3ovhk7Az4LHkmst5Dr aefsdfb2KPYy8FhwZ/wHYT9GvAGs1yr2nrV35dzL4PHY/8rynT4Bnov9ctp3 OhXbec5cgn6OM+SCV8a+O+WEcuPN2G+tnFRubou81kFiVkfOMeXar0gV+nj8 26l2uJ9x6PWZU05uFzBnDvFnxOaSI6zZFD3CPiXjHFOuPYbsIHZL7FewJ+w3 yXYNzEcfhexGX0KM9vjuiZz7payXhK5p1bbetC14uXxSzpG++PbCfoV4i8G9 0YsZG8Tc3fjMYr3yyLkmn6no00LXqu7s9t3h82DanCHuqAOn0SuRfuA54OKU Y76PviAxF+aBK9CXhV5rF/IO9ovc6wH28i4ymPVWYf8O27fIAuz9Q9+1xj4C Xwp9N9qD9iJOFDeKk8RNuYm5R5xbR+yJie9aNavancmc6pQ5Xlw/H3wgZc4Q d8yLzS0aq0BfHTr3DyGV4H6sN5P4+cyvIvZqZDO2rqy3Cv08Pvlp9wT1hovi N/SW+HQMfWadXW+it5kMXou+XucFj0JKUq4B1cKWyLkljhfXLwHvr2dOE7fd ZH5rbG2Qq+CNyKvsfy4+n2F7MXJuaOwl1Y/eBDyK+Z2U66Fr6RL+32N/IzFX 6Q31ljqzzq6eoN7wA9Il4xiKtTV2rWpsG7E6Jq5t1ahqtZY3SGW752bA6/A/ lXLNq/bHhe5911j/GOvnUA+TMq6JM9gaJO6dqqHz4GGxc1+cIG5QjihXmuv9 wVPx35syZ5Wjb4vN5eqx6rXLWeMwa91UjxW/YN+Zck9Wb1aPUq9ST8rC9nds rtQb/oO+IzLXl3D+UFwdmlsz2I9jPwxelO0ep163MTE35hH/C/QVif8K6snz 8a2LfPYq4t0NPhT5LZaB6wuHjq0aU619GZmrxHl70YexxqYc95gaYsexuVkc lKAvTMxFLcCL0DuE1sUh4hL1KPUq1cRToTlaXN0J3Dj2H0l/pds9Ab1RbJv+ RPobqQepF+kOn2H+aeV0xm+ot7zB3mZjv8meG2Drif/ctN9Ab6GaUG3oz6S/ k3qyerNqqgu2nPjO3yPjv01h5LtSjKcTc4a4Q384/eVqIv/l1IN2Ru6h6qWq qZP4T2JsST334CPELonMhdqj9lrBmutSrknVpnJKuaWeWxC75lX7yrHZsWtO tTeHGMPE/4n/RuLwcYk5X9xfgM8F5VOOc0c13AH7N0jbjGtireIhrdL+o+iv 8p96YuAav6X3iN3r5XNNXBWZe7TnKbE5RFyiHt8DW/fI3Ks3CbmLDbFrXzHX x64B1YLuZDK+JyK/lXrmcfQtsXuz/ijV+G5KnMviQHHhhdBnE+eJ+4ZGvgv1 VPXW4ZG5SGfUWT8N/TdQzip3/weow4y2 "]]}]}, { EdgeForm[], RGBColor[ 0.8152057095902746, 0.8645302647456101, 0.8904775772174697], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxFmXm4l2Max9/O+S3v8suW7UTCJCWOiCORKXI52nTaLKNQXIZQcY1lcNCC URkSpa7LvpRck6XBmIrLMjPNkoQyFRMixihrxoxZvp++d5c/3t/zvM/7PPdz P/fyve/7+e03ZvzQS+qSJLldP/VqF5WSJKskSWe9d2iTJC9pcKPGb9P4y+rr U7I8T5Ln1X5QJMmVaZJ8pXl3qD9D38do3Ug9fapJsk5rxqrfU+1pej9aa/6q 9phyktQ0f7y+rdPaOzU+WP031T9f/WGiP0trWtReIPqbND5N8+fWea9VmjNc NDpCW/271L9Tzyy9Dxf9nurP1vq54uc1PZM1Pkbr79bYqaJ5WpYk52jsV6Ld SfOfE83DROcLrduiOZv1fled6S3X+Iei8Unwt6bib4zfCi21z4n21bnPt0D9 BaL/uObOVzugliS7iG4H7VXTc43mbNae92tee9G5HfmpbdXzmL7NrPgsvLfV 2r7q76i5p6u/Xrwt0D5L60zzebVnird2ZY99o/4Xaj/Q3hOiRbYnaL8PtfYi jf1MzwaNz9P4KM1/QU+/NtbtS6Hf3cV3d/X3UHuG9v1Iaxdr366is1Rz+2jO AE18pN6ySPX9FfU/5vwan1/x+xW57elKtQ0aG6i5pybm40I909V/Bjno22K1 Y1LvxZ6ch/P10X5P5eb/abVTStYL9ney+GmuWl+c6aKSzwUN+tA/Umsuxg5F e4SeNzRvT9HfJBrD9FysOdO0/y0Vv7Pu4qAzqM48Y5N8h2f0973OdnXJ+vpS /UtKlnNjar3PLizncSXzdUTufg+1++hp1rcFmtu/anubovf+4qleelyT2x4P rLNN/qVsGS7R2K11PuvLGm/V+m/Vn6W9msVba8nfT6m6ZQ7ygyZ+g+2M1XNj Yp8bGzzTnhv9f+gsZ5Ysk865+6drn1Ha459ac736XbXXrfX2a/wcf4cmsjkr ZD6s5DOOBiu07uTor6p4HfOPE1+99eyt9wPEc4Pa/RPrAD7g4Qmt3SvGD8VO 9cgkk1czz/ld5rWdY/3CkvvPat0+ajvqqWp8rtqfVq3DrdiYxnaXvGdUrPth YQt8R78dql7fTv0p4Qv4xFsaq2DvksdBVfsDesF/ztfzXmK60P8mtQ/s28Z+ sTaz3axTe0tqTH0j8IczcEbwlvFy4nMcEGdBDh2CH84Cz9cmPh98LmpjXuAJ m3lIdPfWnGfF540i9uOKMbRbzIHntoV1UNSMzWD0EdiN1k5S+66+b9Bzgtb+ Te28evf5dm7NNF/U3NtS4xh4NkL0rtN4F73nNet2Zmr5ob89xdtXel+n8Z31 fWCMZ6Hf7oEh2EWj+g3q71QzzS9Szx9Q72+b9f4WdAr7S6eQYT+Nv6r3XWuW XaeQSaPO98eyx1rVfiUaD4GNMf+qwniJP+MLm2X/q0V/i7730fOyvl1R2Ifx 5dVF2HPJ/gQW4ceLE9savoBPnFix7PgGPWJW18R66Bw+frLo/0E0rimsZ/TN WY4Vn4eW7AOF6OQVr4f3L4N/8P6qOvenRB8eiOGcmT3eqhjXwKIVeq/VWbb7 hH9gV//O3L85tX+/XXKMfCR3/2G1D+S2u9+Lz+GBpVORW9mxHjn0KZt+F3KJ 1PjwgGjvGv7MXsRdaD8kehdp/gfh7yv1/f16YwVj72/HgcxxZ5Haj8qOBZyl sWKsB3PG6tsW0fwuNRYsChm2BD/bZF4xDoI/yGlSyI3+5JDb6HrHxXFtjLvd wl/2y52jdCqMzUeVzFMT2KY9mrX2bLVnlR3jRkcf20JH5CJXxXro3JP7++iY D15iA5y9qbCNHqV2t5rn7av+sXW2w1M0Z4LGJpatg5Fl+x65EGN8uzzxHuy1 UDLpljpO/11yur7ea3oGn00Rl8FmdA+ug/f3q31b4zukzi1e19oVme3vNbVr 1A4pWx4dxN96tVu15zv1xnywv0fhXOTwwnrAPrA92r6B/93JI9X/HHvUXgs4 T2EcAKPAjc3SXa+y4+sZ9fYN/KI1cx5yrdoeen8l8hNyLLB8jMZH6pmmOSMy +8i80MUbgcNbNd47+EW28AV/2DA5H/I8P/KBW+qdE1ymNfeof2lmG1kUvrZH zXOGZ46f2Dc2jH6Gh8zxYfrYJFh2dMjkYPGzUPtdELg9tewco1fFfXISzs65 8aWmqnnGZsh3yXtFYtv358L+wVr0zb67iLcb0I14u6nsPaCPbq8r2073K2zH +6sdlDm//XXheER8xbfIfW6Ktd9r/Ddqr9Dc5rCt2WKinNoOntZYmjqHXqZ+ v8x58iOi+T9yStH5b26/xX//o/6RdebziMCqltAFtoWNfZ3aFpBbzrlE60T1 36167tCY31qJfp2flpD58PAXxl6vWL/4UXPuXOm11HktdjUreEGO8IOOn416 YWrIkNg6p95n4Qz4xYGhg0bxdik4rnYFPJcca7tXbavY228z490StavxAY0N zW0bvcP+8ZPeYSfUWfgL2Eoei22Tv1DbUONMEf8rM8ez89Q/TAQPr7Nf7J67 f4/G55Q8fxPxNzVmXlgY13rEfPzus4plfWXh8ferjkXIA7s6OHct91xqebeE bMmLGSeekmNOiH5T7j7YsHNq+8GOHi0c5x4uHKuxN2SNXcMrtg3egL3IlxqJ nAo7PD53DtxX7XG5bXRiav3it+eHXxBP0Uvb3P1abp02xl7kz4OrrjOp+cBC sBSdobvm5IfclziyTQYx/m0e+tW+83LnwUNS14z3lZ2vP5o7Vs5XO0jt4JJ5 uzd3f6DmF7n5yXNjzaCYw/fBcZYfVYwznG1U6rhGjUjMZF8wAR7PCf5XV1yT gCF75pbhHsT23DUC9Qe12+yQMzUaNk0OM77e/kW+he0sCYxtVzinIVdqH7lx CRtLncdNlg021ByTDtHcXSv2Jfz7yPAn5LYtP6lzHH+nat/tk1nHS8PXwI/L ytYJz4yIU5dGHOSM1Dv4L/cDxJ+VgY3U12A19jI36q/HIs5sinlLM2P9SI3/ qWL+4O2XJd99UBcPpH6jtkgdzydHvvVC7jruxdy1V2vcIXTMHVc26kzjMucb 5NcNel9bcS50kuZM1fwrUmMN9S13C7RTow9OQAesOKrqPID+3rn7D2rt8Nx+ vJv6Z0jWH2vNOPVH16zTkblz7MbIw1dHTAG7wNSmOO96ja+rOC4eUrENoBtq dGp45k3I7ZsTc++DfPHB78rGE3yV/LZb5LijMmMV+SB5NjkReTr5LjlPf/Xv 4Jv22qHmHOSc8DHysFFxRzGJHEN73FBYv/RXBmaBXd1T56Ng+YjwiY1l5+hd cufkD6rtkPneZJ/M5wOzsfN9M+/VkZieO6+9ufAdyZnBA7k/OSj5J7nnprJz 69Or9lP8dUjVOAKGUP+A3bWa9cvdDncXtNxbgX2tMU6/WfvNVv+kwhhLbYaf kBOQGxySeh/2IzbfWTEdaOOfyJAYB97cH5gzMPAHWxocvL0cPoavbQhe+Ybv UOeQZ/ZNTYO15IEPBE360BgSdw3YBfxw9qGZ69+tgXstVcfSLlED/ELjT2XO WwakvnOi7sW/hkjmM8G43LU+tTO1IXU0d0q804JTYBR4MCPu5tYXrkmpTZtq tvH1Vdv+griPejMw/fLIAYhRyIo7tzsq1sv+Nff/lTr+I99ZgR+zKtbVXlXj HfqgRu8UdXpDjIOBW6iRNP+8mn29IcYXxjx8f5XmHKlvrxfGi+bQC/kIvG7H 7ZOqxm5qZvKQL1PXQNzrbYh11J+LA0sZx2fBCnJEfOxt6gd9W5bantZF7O6f 2f87RD3LvS3x7Vq9r+UesnC82naf28b3LuQa5Nb4E7UuNSFxb31gCPcojF8Y +dWxVccp8kLyw3Y1+y3YS268JbfdggH1qfOnxzPnSOQuxJqWwjh4fOQzfMNG wTAw6LHAye4xn/u15sB7dNIQ+qJ2hd/zRL9txfkG+TgGRb1zVtg+dMDYw4MH xqgbJgXmz0m9fr7mPxGx7cnCejkk4hly6xp3Xthuv7jf+D5iEf7es2o9oaNp Vfs7fn+faNWrvVftt1Vj7JmBl+h0dNQRzEWPt8c9TNfM348K/sFp6JC3g1UX x93o8qDDnMHhd3nhXOu7yLeg0TPiDTFxdNSz3BFwVzBW627Xmq81PrNwbOF+ hpyc/wPAlKtS31GCQ9elrj+pQz/NzC/1DLVM+8K5Y0NhPJsdeEieSs4xJTeW nxv3mGAxd8TcD/cP+8eHoL2sbH8nJveP8QmRf08sfF/O/TnryZewRexwbuZ7 8HlqfxIxlFg6NGwPG1wR+RB1CfkXWAfu4SvkZ2AzvPSP+yByBXKGU3Lz+nzk J+xP3sX7nML1TFFYrgvjnmR03Lty/7pb7rvg8YX/CyFuX5jaZrDh7f890FJj EcPBHS3ZprseVec0a6rGRjCSvAHd3pz7Pwbq3p3QVWZcvjvzfxvEGWpBdDsw 7uu4f6K+4P6Eu8b2kRuQ+/A/CjI/KGLutthb838zZ6udXvV86DZF/OD+gXHi CO+Hxl7Y1Lb6JWoYZI3MmY+ewXd0nRWum6if+mbOS9tFPTEtfIoal7xt+38k tPDPPViHuEfF/5iPHJfGvephEU+Jo+iDu17sD30Oqnic2EqOgE3xbUmsBYuw c2yc+Dcu1r6XOJYSI/CNZ1LfZ/05bGFz1FzUXvS598DuiPHYHnb4WYxvn0dt yN0wd8Rg8Pz4H4r/JbAHcjt4qEWuQOwDp+cGhveJ+xjooJ/p1R9i+/TIN8gL 14Vd7YUu4V/0d4j7ZO6V+YbtEe+IXavj/pm4RHwiZvEfIOfhHGA4c6hNOEtj YAgyXxOyJZZsibgDfkGHeoHad0bc4ZNrrAl5Io8VcZZ+cc8M9hKLiEnkiMsK 11EvFPa3tSGftZED0ycHHxQ8gH/4EjHuU+7x0Ffq2EjsJD4i/+lxPw9OMU6d iI0MDvshvsMDdRx+CU1wlbqa+vrJzPFwdegIHOMeeUrkiTMjV0E+0CMfA9eP CRl+nvruY8eaa3Jq8JXi9009TZy98NxeMZ+W3AC8o2YnJ2HNktR5x/O5/+tl z59nzoNmRi5EbUNtMqwwNkOf2p47FGqx1blzIOx8lcaeSH0Puzxydvxuf9Ed kLvWGkRNUfj/xU8K20av4K0l/hceETF9r6g5iT/oiZppY/wf9qHa/wMascYa "]], Polygon[CompressedData[" 1:eJwtl3uQzlUYx3+77+67v8tLEsW6tZppbCGjsLJdZMqySGuTatfWykylUKbo YhWbpEJyzZSSlGqGbrqxmm5DCt1Q1qVYdJmIpHt9vn39ceZ9vuf7nOec3znP 7S2oHlM2OjsIggZGDqMiCoKp/FYzWYmcSYKgV24QbAQ/D+4KHovcPR0EXyAn mSA4H741czHyMuZ6sj6BfxZ5NWv2pILgJnQKwa8xhsHnw69CXgT/HvwsNp8c BsHniW1fBx4OfgH+jawgOAvcKA6C1+Fbw3dnv8Xwy5mrhzuDuZXgIZzh7Lwg +IA1fcBb0T8XrhdjDTgT21Yx59mOXhP43sgdONMO8PXgOnCIzpnoT2T/ZZyv lPUH4Poy5sPPY1yCfBbjVuTbWX8Fui3Y/3P2voW5lsi/MrcX7l1sHEOei/7v cEWMKdiPOM9HyJ3ZL4ltQ7au5fuGIb/D3EG4n9G5EPkwa7bD3Yu9pth/CZ2z wWvYcyVyD+zXoLsUGzeCP2EcRvcIYyNyK/jL4YfqzZCXMiK+bQV7jMd+HfaL 074z3d0rzDXA7UO/K/Io+ANZ1tkG/xxz2+H3wJ8Z26Zs38N+Jex3K+MJ7c8Z j3G/m+HHIHdj/WfIryb2Bb3pUmzPBv/C+lpsfoS9U1jfhfUt+J6trP8YvjO6 D4EL4deBC9M+w7PgluAy1tcwdwh7bzF3G/v1Ze3V3NcJGXMdmJsHPxRcBLeO b+oHvpz1y1m/GVyO3J5xDfgK9ruMs2yKfJe64+5wX2J/HrYuw0Yltqrh70b3 IHMjkMcz3gzsMyWJ30RvMxl+FPIu5vpwnkXYvBm8MzGnud3IaxmnIQ9k7nH2 GgR+CltLGJcif88YIJ6xgfMP5AztOMsKxQx4feLYmHo8theDU+AXuK+x2OuU 2Fflw511PtbsZ+0F6NSDNzA6pe0DL6P/TOLYbsRYEDqmFdsV8KfHjgnFxlz4 v+BPBVfl+g4LkN8JbXsquBf4u8SxpTvUXRaD74e7C3vng7P1ptk+85M6a+yz K2YUOw3MlcDNQGdD7BhRrNSgcxHyp4l9bTT4OvZOlA/goYJt3NNzib+lHevn wJ+Use8qxo4on8Cfh/w+d1KG/BKjGfrdmLsPI/noPwh+mPEb+hNix9In7NEc +Xv2GIfcgM1QsQPen20fywM3gPuBd8Dngo+CJ8EdBTcGx7Fzg2JUsSoflC/u Y00Z8luMb1POsW9HvgPdxWDsVHC2ZhnnQr1Bc+SjoddOR/8UcBmjK7rvoXMh XDNsrIWrZJyKXBf57F/Ar4lcA1QLXgQvj/yGeku9md7uVfbfl+MYXYW9exi/ oTsI/ENy3EeR70OnL7pjEt/VanR6hI45xV49c5ORi5jrie5G8Fjl6tBnLeYM rVlfoXyY5ZzSEdw/dCyXgNvKV8CDkAdhYzH4aUYV8kTucAny86F1hzC3CDw0 9LdqTYHyD6MH3GD236X8E/pbFHOKvfLId6kYrQPvRf8kxQNzbeDaoN8013Pi esf2TfnsXuVidB5M2SfkG1eBZ6Sc05Tbfmb9pLRztnL3N4yL064Ja7E1En5P 1vGaDH6R9VtTrpmqnf0i1wr57ErFT+K7LGL93ejfm/iu5YPyxYtC+7pqygTV h9i1aBv6y2LHiGJlC6N35BqsWlzP6K9+IeNeQDW1EXJF4tyvmnF14pqu2r4X /gHwJPAx5Vp9U+I71l3rG1Jw02K/tXK0crVyvnK/3vAM5IWRa6t6iMci11TV 1nL0q9Cvz3PtUI/SGPtXhs5VP6L/AfpVyqfZ9tHhyIND+4JiSrHVST0IXB46 f0b2UflqV/DJ7N8ldK5VjlKuugN8BPwYuAT8S+i7kQ8fA5cqJ2c5p7QD785z 76Gala9czplb5XnPjugOCO27X8NPhP87dm0pBP8rOfRb3MF5D4LbRvY9xbBi +UTVKPiL0W+KvDPP8hj4IvgVkXsH+XgL1v8T2/YC+BvgPgv9Nqo5qj2HWD8B +WH4KyPXVNVW1YwblNt152n3PNP1toyH0s6RypW1se9OOUe5RzlTuVMxMDRy DVUtlU/UwI2MHKuy0Qrud7hNemv1lHB/oPMo3GxGQcY5WblZPaB6wS2ceVSO e4DV6N6pnBl4TfuMc6Rypd5sQuieQ72HdNYjN1c9RF7IXDW2/gTPSbunGYet +YlzoWrKAuSYMRtdTAaReoeMfXG++tmMe1D1ojeDu8X+Bn3L/zkfvSWRe2/d cZfEPYF6A8W8Yn8ga2ayti17DojdE6g3KGbtMOyPiO2r6gHUC6gGqxarh63B VuOMfUU+8ZP6HcV0jr+xPPab6+1V81X71SOpV1IOasLaW0LX5r/Q+RrdQkY+ fDPWd4hcY1Vr1XOq93wlcm2Tz7+M/Gnk2qactRk5ZI90tn1evj9T35Pj/wgz YucI5Qr1+JXK9ZH3Vk91YuieVL2p3vgc9QvMXZXymWYhPxM7dymnKrcq5yn3 6T/KXcjjQ9ci9ZyPsFe7yLVvOKMAeVri3lY1RrVGPiZfkw/IF6bD7891zasG 1ySOVX2DvkVvorfRf4Jy+A8j5x71iJnQMaRYUo+gXmEK+EDgnrcWeURoX9Ee 2msrNlO5rimlqt+xfU1vOET1K7av6T+M/svUhvZd/efQfw/FvGJf/+m+YuEP kf/raM+TQ/8H038x+Vgpti6N7Wvy6cF6j9BvrRhXrG+Jnet0pm2x/1Ppv5Xe QG/xH/xj190= "]]}]}, { EdgeForm[], RGBColor[ 0.87823104952724, 0.8855475362449347, 0.8622422814047727], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmnu0VdV1xvc9555z9uOgRhQUJMjlLWosIDQaRZ4aIUMeAioIhFTNSIqO EVFp00ZE3ojVCqgVQniJw5iUh9ZHRIv/JNVAIG1BjQZEHraAgIoSUen88X0O OsbdY82z9tprzTXXfHxzrttu4h3Dby8lSbKynCTxl9xWS5LH47k16PbRMTCe GUF3iHZQ+VQf9PToPx4f9wl6QdCrgr406CujPaMxSfoHPachSfpWk+SaoNfF mJElfc+3DdH2jWdr0PVY86qy5vuqpP4tieam/5GgLyxrztkx51kx/3eCXhJ0 72j/Op6RMWZNSfS1JT28GxX9l0V7eTyTg/5uWfy8FvTTMaYp6Dza5lmSLI/5 LkiTZHX8/jCecfGML+n7u2J8Kdp+ZfG+rqQ5eY98vuN9sWYvr0vb27whuz7e y4yQybeDviVRe5l5o/2217opZHI45l6RSB79LJOeZcl5YNB/FW33eD4JekdJ v/sH3aOscQM9nt+Dgr6zqjGM/ziebkEPi/aisuQ73HLuZnpWyGNmPD2CPhzy OT3kfn6qMRf5fMebHu75LvQZ7SqJN/jqbZ56JdKPnuana7QXxNM6xk+N/k5l 7bdUSZIu1o1nou1c1nvkTv/ORDo40DpJX1f3T61K7szfyd8uD7pjWeeE/BfX tG5X93W0Lo00/Yjn7+Az7eN10PNfVTQvc/4g2jT4Whvfjo32YDy3R//okNMH JZ0jZ4dOs5dry9I/ft8T7X9F2zn6y2Xp1o5E59zXOoZRnijp3G/w7y2eh/6N Qe+P/f5vPK2i70BVv1uXxeNx6w/6/Z9eq1/wP8VrZ8Hn00E3eu0Gy7BlTX0t zU/J634W3z4a373uc3nF8mWOjWXZ05D49oFofxNjzsok529G2ywTXz3rob/x rEQXo70615xvhF49mmnORdHeWJZc4Osay439Irvv2n5pr3U/Z7fB57cwE70g 2lZ1nctnMf/H8fvc6L+tSJJvWWbz49uP4tkZYwZEOzBksqck+91dUj921Cba t6zL6PYOj/+gpjMfGXP/Nvo+L8l/HAyd+NRyaBc8HOVd8FCKtbuFHJNoP4tv fxnkT+Lbf6rID/PNvJLG8+6Ibbu/eXzP615ckX3By+KqeD0a/V9E28I6zLk1 89ldXhd9XvDQNZWvw+eVSpLJgw3SqZaWZ+cYsyz6ZseYQ5nmvKWQP+5j3Xq/ pPUH2P/vtqyei/fPlvX+PY9jzOrgs09FPpd54BU+2fN8y6oWMqnGszLGPRnP qniGRv9b8awP+u1oT4/3z1akh89VRPN+YvD3fNBnp/JBT8YzIfoXNar/q/g9 Ajsq6R163iKeVUFPiW//O8b0i2+3xPgdQY+K9v7o3xrvh0X/9KD/yBxBdwu9 /X68fyqXXJDPQyGnpTHf6hhzRyzzcLx/MeY5Eb+vL0vWvJsWT2PIogOxNZP/ PDva180zvI9ukP/F966J+a9G32PM3Ji/UpXPmRDz70ImDeqruv8XNfHMWug6 5zsu+Pxhob2OyiXDPVXJdG70vxf9P4h9vRn0/uj7cSpe5lmGM83P4aBfjnW3 xZgB0W6IOV6uSm+QF74Pvzctvv88xj8RPJ8T72ehN7H/PbHu+Hh/XyE7u8q2 NjR4eiS+vS7aa+KZFfTfpZId/ccbFPeIHcQQfMI/NsoPMC99xNmZjfoWf3tf fP+X+O5grHVBLnl1zYURiMtghKbgbU7Qg0t66CMuTypJrviHPsHztvj2ZnQ0 xr9Ulf3ssx1hTyvi3cqgz8Yn5/IFu1PpL3rVl9ga/RNjnrHR/zfx7IrxW4O3 tSXtYaTXhU/W5rmiJh5mVoUbkBexCN0jHtFONI2dYDfE9GGO47OtG+hbe+ON SRXt8faKaLBHLZUfw59l8TxV0TmNsv5jByPqOvsZuez7korsvxF/GnQlU9/F 7qelH7wBJuxekY7jty52f2Hfgo8ZH/N/yVrmZXVFdvTriuIuMRefuCboZxLx zh6wyTtMs5crg597Y/0roj1Rlm/Fx2A7c2qSxa1VfcP41wp9e0G0vQrhrj9k 8kWrfHbEU3jA751WU8yFj2Y18Ycva5aKx08sw7SmPVxcCA9cxFlXZF+Liel1 +ZolIc+nwFEV+dGHY9xHsad7Yr6FhWQyPZUdHKvIFvYXisdTU/m/z+wPj8WY oxXZwVW5bOTfc/mCB+2XFtWkn8SpAzH2Q8vz3UL0pFR7O+D+g6aXJNr7WvO/ riKaMzmtkG9/pyb/Dg3mAGuMqCh2trPNn19oH728F/B8j6AnlCSDbpbDjpir O3gkV2yhnxjXqtCcO+P9eUG/He9aF9IbZIXM/lSTvtdzrdM7ngwMWZI+49fI J163vx1TVmzgNzKcad/yL5ns+vFor44zX1EWvuH8kcVix6WhVcUmsOuZNWFS zgU/u95yYjxy3RR8PgaOCT6X1IRH+eYkBmLu6H81fr8Sz9nxbHLbIuYf7pi1 FzzWKJ7g59fWRXQUv8666MPOmPPVeP/naJdE/9KqYjLr760q7hKP7neswc91 qcrXPW9ft8x+n5jUM9GZTPN4MNQA+6jdhWTWN2T+GHlkTXj8d4XyyJtChqdV ZHuTjZPnVGUblbCFu4PeFXxOroqG7+nmjVj5QvS9GM990f9vqXzls7lk2Dye VjFucMxzVtDbc9lf5niDP8tsj8SHEVXFiAvr0qlzUr3jG+Ld4VQ6ey6xMZ71 +Jvgf0VNcnsDOcS3D4KVMskBnUAfVsaYJ+wjvhljHoq2TV3YEJrcsn38XhT0 iVhnXIwdVlWsAheRD+NPOEtofM51ZfHGXvBJNWOkV60PYPV7qpoH3miHmmYc mKpfIjmdZVnRxzz4NzDkEusGazYzD7uNL8GevIdGXiuifbeq/V9iGkw9w/My 51up8uQvCuXSvEdPyEMn+3zPrUsHzol2NvHKMe6VQnWI60O2+4lD1gH0Ff1G t1vGN7PgJ9Z5HwxcVR560OM7Rtsz+npUFR/BKGAV8C3tBsfxl4xhoFl/pnnY Eu3lNeEC+lgLnji/7lXtqVPw8HjQHeuqnVBDIU4Tt6+M52eJ5v+N7aiP+4nt Z8c306P/rLpkwR46N+i84ZncjbF8gz0i40ssc+y0j+e5tywfSG4C36xPfCeX YX587pmxxrSgP0qF9QbYd1EPuNPrwv9M7/Gg7R0bx+ZeMP/Pm6aewzvOu7v3 +LxlCzZ73mMGxZwDa1qTM5nuc+T8WRcMgE09ajx6P/YdT9fgeXm0d3kM/oT+ q312L3mtZrGvfwi6Xhcv4FT0nPyafvJc9HGG+8lPv+ccFf8JTazFr45wLoCc V1if77KuwsOXHofv7e6zQAeYY4jnQT8H15TLDPDe0fn7vXfkir0O91p8M9i+ mrHIa5LnGOJ58Dd77KvxLeT4xGLw3S7r/GOZajHtU2EdcknG45vQlyTk0y5T raVttG0y+YDd4Sfvy4Q/pmbC6dDE3xfsaznHPrkwFdiqksoPgeV5P9Vj8FHv lIVDd8a4fvH9nwvhvjGOreQo1E3IU8hLwCHgEmp3a42ByUOvdZ1kmOdlTvLX G5zPnqxdlfWe2sNw1x/wkYzHh5dT6SY4grFDPR58Bk6bkck34aPeTOU/3rdf Ik5R3+Md+cIa81ZKhSv+5HWGei0w7Ejn3cTGbWWNQ+/eLosPYu/6snzsrEw1 p06pcADx+NpC759z7kzujc11SVULedG1mEbXXNjv9Ez0/dHuq0pXmIta0Qtl yZJ9st9j2Hemul1TzLm0rDoO5zc/E6Z/INPaz7q2MC2Tv28oZDPznKcTL+nn fbdUukx+CV5kDJgQLInO0EedqJPX+kMh29kETitLPn2t/+g+9vJb11PIpcDL d5fkry7NRW9IhdOnlOQnN2fKpzZl0jvqzrz7IFNc3ef6E7bT6mtdcH70uusC 5LvkFFvsPxl7wLZGHrPcfuBkvHXMPVknsy3DE7xtd31phddaaRo7xK+BiQYR Hwtj6uDteKqaD7UifDF2TY2W3HRCVfo3v6a9gUXYW1/72AFV9U8xDgRXELsT 45PNhfRin/HAsVQ1MWpj5ELoK7qKDVGjabJfed++5ZpM8QWsjf0R79Cvr2w7 xHl4G1sTT8RMZEhe9pdC/B+L9vGyeD15ZlXJhTMZU1Oc5vxuzlUr+Z+a9Jea M3H7huDhgWhHR/tlzLUo6Fsz5Q2PlpU73Ixdl4TDBxfygT/N5KOWWvcYx7fU 7X+ciacfZcJ2yHWH8114IGcihyGWdE4US8hnqAUiqybbIHrIPOzrrkxrTc5k L+QL2MNrqfj4RvQ31dX/90EPz4R7hmWK09DE8EvtgwcaN4OfV+XCysiBuxRq BrNcDwGjzHFNA9wKJgAPnFEXvSgVhlhYVq26dV30LZlq2NQvqF2AUcE35IYL a2p/Zj1nr+g8fnmmayzEvyuMc8hlqQGBH8C0nAcYlDxovWt0HZ1LkEdQR6Ce sDZkfk4uP/Cvmeqx3BWw904NqoFemihHombfxX6QejX1Yc6D8ZwR50r9ibo9 WGCGMcxR4374Bj+vdF0RTAK+BCsuj/mXgUMS1QypF37RoNzrQKL8a7RjOPxj n8QTcAW5DvUw7h6Yi/GdEsX8Uf6G3x96rZ6m2Rd1Qupc1Mu6uk71+5BJh/h9 yGM4V+pk+CXwHTiTWs4IY4kv7bvoI7c637V3avDkveyjbTzfryrO4k+QJXhg ZyKdY27W2FKTLNpaNk3G0tStqDXNLiRH9OC1RPkxMkN/2oZePRxrnB/tBuew 6Ez7Bu2XfZN3c09EHHozV868LZf8kCMYDz1ij+gSNZvZNeFG/PZ1juPUaEdb 5/CpfIv878zkS/GpLZw77zUG4xzQB3ws59cfLFGoFnRhtKMy+UZ8JDlQ3Tk1 Z3DIeom/4n4OjI7t4cvBBqc7xnDXAX4Df4HrXi5UZ9wAJnJNhtoM+JD4sNi6 t8U5PvRW6yL+BntGxw9Zx+FhhX0n33ewbNEvvtlc07l9XTvY6zPd5Pk3eS3O d7PXauFz3my6vWXFub+eCyv/s+8uyAnxTTtz4aQThfzZUeMD7j7ACMR9bBob JL7PL1RLejvaBTX5IepR1L/wHa8W2t+h/7eX/dYr8NQ05xodUtVxxuTCN+gh mHCv6yrUV7JCdZ+80N3jQMvt3ZruwM4o5IuOJKfuTPGXg+xz8EHcWZDHkM9s dMwl3oI3qOesce2LWDfY9tPV+sBcb+SqJe0p5G/62V/MMyZCRv3rvv9znoue s198LzICGzP/JNc5iZNjrHvo+kjzPNRYZkLQ1/sOg/rikFz+5Xu5avbkhNgZ MQsdJubSjjFNnCBenF5XPMFP4Hs2GV9Rt16TCbetzVS7WuJ6QnPTZ9qHLvNe 8EOLPYaYg31x9tRbfl6TDtAuNY19gCWIx8Ri7jOo1/EeerXrd3zDfrda55dZ LuyHM/qF52QssYiYBBak/rnQsgVjLjK9PFdevSKX39pgv98/VZyi/g2mQMew bXJlcmb8MfVRaj5LHAsesx+DR/Y5wfFrsWMY50wOhHzgvcm+lhyXb/FnxE74 Bs9QS2L+Na7vkS8TUxd4L8Rf8Ah4hfveaYVqXtcXwkQ3e++MXeS4PtTzgAnB bcgcXccvLPcZgsFaOo+4PldcHJkLh4FDvlXofoHaOliSZ4599VRjc2zmHftt 8sbbMmG2H/q+7Oc+I2yxo2uMh01jmw3crxCvY625mXKkeZnyoWbGAqw51zJl 38icOwTqYOOMQ9aXT91JDjPuaip0FnP87X/Y1+HzwNTzjWnR1wWWM+dwwPa/ yX4UH4v85ltv0acF1ud9zkG4j3r0a14qqr109h4nGzfencnvtm84hRHaN5zC FOhJC/fj94lLU1L5mbF1zb/CZ0r+Qr0A3dnqmM635AKM2WOdWmm9PeQ58b1j CtX3x0Y7vNBd7IhCOcEu14s+sq+EhyOm8ZnjCt3Lji+E1cBpYMUXXCMip0VW 2Dn69k6mmPGT2MfcVHi0T113A22NLaiFEFOpl/zIuL13oZyROEp9aV2hu8b1 he5dHzGu+mMhv7kl2p9Wheexk3WZ9HJ9tAkPsbSuvP803w2Ry5HTvRJ83VAo v7qxkF2hZyML5Y3cKaPDjIUXYnpDJt+Oj+eejns7cPy9jpHEgOb2l2Ag/oeI /zmhLkBNCT0kh7jC91kbfT+ADMAV1LD5Dtly9ugAMYd72tHG2WDYL62f4DLq VuB76org9retf2Chfo6RnCtn2st3JpzDSuNTzuKXmeLxM9F+WMjGDhSqEfMt sRbfiR9ClziD4/62n22bNcGkX5m3tsba0NSYsdGd1gP0YU6qexH2/3vfLZ/w nPx/xBHH6691EdsZnGscd9HcA35qub+ay0ap6/M/RNsbdS6rc7XcVzxtP9rS WAQabEIeTIwnvuP/3mpULjYr1f3+2Fw+fJprlePqwugT6hq73ePxNalzrlsL 4RlwDbGNefAf3O1v813w8FTxn/9BYH7iw0k+YszCRp0Ta/PtzFTypq+taxtP NEpHZ6Rqb8hlx9TRPjbuIP7gt8kPNjYqv7wp17c3Rvu3qfAbOG57TTlwy9CB ebnGz801d4NtoZzJP/O/J+Tz5NSjsdFMtbJKoZy6TekUrm1j2bb2vd6RWLOa qn54Xqa7Y/zmyf938/8R9Yj2k0z3iEejPZLpvvkj7pZT/Z/T/qAfcu2OGl63 uu4zLop2omvi/B8EcXGcc14wAPcr6AA5C3NSK7rEtWHGfRbztoz+T9lrLrvA Plr4WzA4sW6RaxTcrYGByMV594oxxueFcrPjhX5jP+gdOQu4l3P5OFV9vHld +rjBvM20rWNbYDswHnkc+RO5ETkhfm5Io3LetrnowTFfu1R5GHVBxo3y/2+A LQd4no6pfBI1S+oPI51jv2wsiZ7TR85N/wjr6sZC+xxreeJzbjaNHQx0HQPM xp0HdzSHaqpB/C7WejLXuJXRvpeqFt9YlxzHez3q3dS9m5znYgv4kSbvq32m mIlMiaH4WPSEOah9g0nbpLqLoO5LXMMH46up5XJu67weceEy147yumJJUVeM Z4/gjVmu25AXdslU6+4a7Zn2Qe9mqvkiz46ZfDB6RM1zc6o7vGpd9Rj0Cr87 Ite+hufif4L3/n/V6IQV "]], Polygon[CompressedData[" 1:eJwtl3mwV2MYx8/9nXt+97zn/G6FFld7iXQLE/KHJV1LuJa6tz0qGTGDzFiz DVFaZLlRCY3RgsHQZmlIyh8xKOttUSRlSyRysxSf73z98cw82/s873nf5/0+ z+k89rq68YUoinZB5dBppSh6oxhF88ui6Ls0im4LUbQgjqL+6L7Jo2gA8hTk w5GXIh+CPJEAK5BPZe1s5Lewvwh9w/rbkRfCP5RE0YGKKFqWe21f1kzLoqgX a+Yh7yN3T/ih0Cn4fUL+Otb/wPr5+P6J/D38dmz98P2ceBOIdTe652LvSXu7 F3oePvAxrVPnVO5/0R2KvJyc1xLvHPQjyPUg/q9gWwZNh58BLY+tk+1t/O8k 1jJyroJ/FN1KbIN1BvCL0E3GtgGfZ+D7EPNZvqcO+wZyHIVPt9hrZsG3Yg+v sZ/Z+A/CfzPfsBt5HjE2wR/G+ntZfwx7nIPvEHwW8e31xBqFbRU+H7F2HP5v wTcQ83ViRyL4mdAK+Bgqg7+Q9Q34/0WM2sxnrrNfje5++Nb4rI59ZpPgRxPz FfaziXAR+Scjf5U45yDkg9A/rJ/NHruyn39T8y/hMyz3mepsvybf2NQ1odp4 Gvlo5J347CfWGsLvgB/JHspUgNBk7OvZwx747fivg09yn3VrKEfOiXc78T7F pxJb99SxVbOq3Znomoi/F10D/Ezst8Rek2Evka8r6RrRVcK3gXojb9Z9wp9B jgnwNXzPVr6jO7rt8GOI2QN+cOa7+4f4AzOT+Fno6uE7kG9F4jO/ALkus+1k dI3EW8Ke3kTuT87F8EeWfHdz2d9R8Bfj/0i5YyjWUOSDZa6ZsfgPR35CuVjz LfEq2O9TRb+hatafDx2GvoD/RnynZ77rJZxXFfH6Yd+B7yrkbci3ErMx8Z7O RN5HvJbw88jZDXlY5rtRzhHKHVxLC6HH4Z9EV1vwm9XbrUJ3dGwMmAPfIzWW rCTn6aoX8jUj31LWHITvVvK3D8P/CPzroWnwXdC9iT3T+4c/jjXlyCfi3xb7 QnQnwT+NLin6Th9OnUO52ui9C5uwj8b2HOvvgS9ivwX7++h24j9JGFHmM9ZZ r8ydW9+kbzuh5FwP4t8bvjHz2dajW8/a8/F/rGCMq4X/CRpYdI512LdwLn0T Y4KwYRTrq/AtsGYK9ir8N8HX43ME/KfoFiCn0HT4NsFYojeqt7oZ3biiz3Ab sQ4n5jTkodzPYGwl5DuKrnnV/pep7/pmdAm25uT4rGCfypJrQrVxGfJfud+U 3pb23Ax+Y+q7mk28A8gfQsfj2xt6DVsL9nRC4pr5Hb6D7lx3yXm2hx+B/xLd NzQSfmswFu/GvgX+UnTLE2POKOE5MZsS62Q7Bp/L8S+SrwHbDJ1xYsy8BvnF 4LesNxwjd4KalxsThY3lfONNRdeQaqmJ9Yv5njHIf8Jfjf+uxHvUXrenPqsb objkN6u32wcK2Nthr4yNscLaqejGku8yqJr7+BK5hrVnQe/guzBzb9gEvYTc C/v3Bd9ZFfH/IEabct+57r4T9p3wk7C3wv5wMPYJc4W9LUu2nc2as5C74D81 9prO8Nei+znxGems9uf+Vr0pva3duXupavTn3DWsWp5CvHPZ66/Im4l1F/4t 9FZSY+kcdP2xX54a229GPgl5L/I9rJ8IHYL/ccScEfsbj4U/GZobG9P7wN+a Otc+9vcI8mrkuwre81bk9vpm1SK6Xzj784KxUjkOxXZAZ5i450/EdhU0J3YN qhZ1JjobYZqwbVBwr5wiTCj5TnW3qomv8d1BjgHYL2BNR76nB2vGs/Y6qBq+ NrVtCzmWEmtX8GxRjvyjemfuWUVr1sD3zL1Wb1RvtSz3bFONriA+9V7ug1qr HxGjt/ZOzF+Da1y1LkwTtv2BPLXoO67DXoSOTzyjPKD+GIyNx0KxeiXyePLt 5vyGCKuF6QXPcF3ItwTdF7FnKM1S+6H5kTFb2N0RalvmN9wJfgfr1xaMWb8h F4Jni+FQW/iuwmv8eyEfCT9UZw7/Mboh8Fegm4XcnW9Yi9wvc+/XTFUD3y38 32tiz0rqaeptI/XmyT04N3brmyqQWwXnGg09plkzdS3qDW/EN8p91qoR1cr9 wbOdeqR6pXqMeo3ecAw/MPVeNYOM06yDXBe5R6pXqkeoV3yHXIP8kXoQ/KPo Xse2gW9oWeGeq957SW6sewF7E7r2qbFQPrXYxwVjqWr2ymBMEDbozQwLzqFc 6infYhuee7bSHVUi/50bq4VhwrIWuWcVYbqwvVnwLPmTMKjkGlWtaoasZn1N 6tl5ETQwt4981VOb47utwr1IM5BmoTElz57qkaPhO0ENwg7ytSt5xtes/xR0 U7BONr3hDvAf557ldGafqJ/nxtL90EWc3X2pe6Fq5lLkLsF3qzvQXbQLrgW9 Eb0VYaqwVZhydTCGCEs0U07ANgB5QeJ/Bv077A1+W6rRzqqV4L3qn2UN8vXB d6U3coP+ddhDY7lnPs1+zUvGQvXoPfh/kHsW1D/Eq8hf5f43EOZv0+yZ+u2p 5tuydlkwdmgGSbC9G4xtelNrgzFT2KmZ/7fUPVy9XDO3Zm/NMJpl1NP2wF+f uncKM/tmrkHVonpQz8wYICwQRggrdMY6a82UA+DX5Z5l1MPXw3+QGtvVc3fl 7unq7brjjpotUs8i6sHdg/9J9G+iHnEu8svBs7MwZTH83ODZUD2tSfMcMZ9J jLHCWmGesE+YJmwTJggbdObzM/9j6l9TM/x7mWtUtaoYdcKCzL1W/1zPwv8H Jt3lHw== "]]}]}, { EdgeForm[], RGBColor[0.941176, 0.906538, 0.834043], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxFmWl0VdUVx+9NXl7effcZQUTBgkIVqwwyKiINtl3FKEqYooATEHAsTlBA ASXU1VYREhEHpBhwddWFA2IrlA8Fi0OtVYavrRVrJwtrtXQuk8H+f+x/lh9O zn7nnrPPPnv4731O+jbfM/nuqiRJrtOfavVH8ySZUUySw+qvLSRJP9FN+vYT /W7S94lZkqwUfTBNkrtKSfKJ2i59/3olSf6pbz3EpKL+kZokqdWczVqzUP0C tedFrxPPVaJXqu0Qnzkam6L5vzOfL4serm81ahv0bb/47FB7We2tPOR5U/27 mrtCc/6nOSPUF9U2iv5UfN7Tt29Inic0VlBr1/ifPV7UeLk2ZDiq8YvVl9Re FX2J+kxti+ie2q+bZD2k8yzW2ANqr2l8geR7W3z+KH6L1K82/16atymN389p 3ePq29QmqT2ttjOJb094/tXq1zBH9LPaa63ak/6+xnKv8e+Tc6ri+27R+3T+ odLD3jx4P2X+T5pmTkN1yPCZ6CvSOO+sJL6zpk5tu86A8feIz6k6V2+t+WYl bPWs7bW1KvZi3txS2B37j1Sfe9+vaPwcrf1qJdat89oTGitjZ9GN6p+xflul /2a1m8X3SBL9bHxQ89+pCh6z9f1X+KTo9Wpr0UUSv6FXi75UfUXtDdGj1J+i 9vMkvq+3T7xSEz6E/2wR//ergi/nOun4adh3nW08RC21zoelsR97Lbb8nGuo +iq1x+3b6y0b+//AMuyTD3ysPZvUD9bY5xr7jtpFok+oX6620fN3iR6kvkN9 i9p/ZIuzJWuXLOw4pjp86Sn9niX6fPU71L9QDL+7Mg1b36u1r+n3bp3rA7X9 stPXiBfZ59GaoLFfnWT6WU3YuYVzaXyf/XOTzz5X+v9WbXxrrg598e3WPOJx Uil02e6zv2Id3+s4ut9xBQ6wN/vmtTGH2Edvi2wjvjMPrKj1mnb7zCLrfIX5 MIe43FkTOlnuMyD/y8YK+PeVzH3UfpiGX+KfXbOwCbiGXUbrWxe1vVq7vhw2 25mHnGDES5pbrTUvas5ZWfBqsb32VMVvaMagl6Whjw3WSS/t2yb99anEnOXe b6HnLLD9N3q8xTQ8mzyfc02wPsGlDV4P/1erAwd/URX+u9i6AkvAlB322yWO O/Tzkm2Ez0CDgRM9B3w7pPNPlsx/ywNP4EWMTygGT8a6at8t2vMCryFufqz+ QvWH1TeDb1q/TvPH5cF7sef2TyPmZxv31lnOpYWwMfbF51qsT/BzqWMcv91g HYP5304jT3QYM9DneI+TCwbkkbv6q/+l7Pd3yf2e+q6y7QHtsbUYGAL/3L62 0DqsV3+62keiH5Vv7NLer4tPayH0Ax4XRXfTnN8mgXNrfZaO2uiXaK8xGj9D bX8SNnrWOHNC8bMdjNace/X7KrVjxsLj1k+V9hsonqn6j7LA0/3qu4MNanO1 ZoDaPWnYsUH93Wms7W/6sG3NnPtEj01j3RTRL1YH/6M6S1/J01Xn+Zf4F7Pg X619bwGbi4Ff/TSnu+b8V9/bagOjm/XtWB427VkKbKd+IK+zhu/g3of69rr2 GZiHn9yVRu4emMb5OTv5fKzHD2iPWu11MItcOS8NvEXf6H23MXO6cfMS4w12 n259djj3sVezcRs+4Ps49JEGDl9lGeYZn+/zWvyFOoAaAAy8vRg4OLUSWAFm kCPmp5EPrjG92nUFWEYNw7lvsQ4rrpF6qb++HPXQtHLkotZi5KM7pcM7auM3 NBiyDIwqxHzw7TLOpHZqGrmd8VnUUthfbY/ovaXw07/m4Q/4MHYCOzcUAj9v 0t7tor9XCsyZkwYeUsMwDlaQW54zfU4lZKV2gMdz5tNBLSc5f12K2Jnt+Hmz KvwNu/6+FL+rKxEXcxwb3zevmyVLRyn8Mckj/5EHb+/0N/F/OIl+junJ1sMb zllri4HX9OAIGHJ5OfBlXil8Hv4vqH23FDq9Qd9PyyJfjKmEf7Xaxw67Hj6e R/zBZ7P9bYZx9RHnN3LW/CTyO76E311hfx5jfaDbx4wn4ApyEKPEY20W2PpY FvXVTOMS+uxmmxLTDY7rCZ5D7TravkDtgbydtVXZeFGoRG4BV8k1+5wDidNV lhMMOZkbq+Ic4BBz5ru/1jT5YlYa+QhcudJr53kNc6gzyRU7ncdnODbx2zrb a5rPQuxfXIl6ZoT6v5SihqmvBD6zF3UeMXWz4/zfWdQBfypF7cd38gs13hmF qE0et2zUwOO9lngkTm8ynlAnUbeRv4Z7nJyCHcqFyHOTS6GvqZYn99mpFa83 nmDzG4wnQ2siV7Ubh6Ybe7Fp2fYCt6f57OAcPkce2ea8tM+5Hj4LjC/wB0vv M36BUdSki+2HjZJ5vFq962juKQ943Y2WjZrhtELUDeMsf0sSexKL7EvP74+T qAG3WZ4GywyWjrCeVjv3ERvEBbUwObTofdELMoOh3YwV9cW4a3B/wtc+t8+A c62+a2CLgm1E/XvINTCy/FStp+jTSl/k266Wk3FiEd7EI/cn6to24zl8ltkP T3VMnV8JvDivErXDCPvqxuqoG/GNwT7LfOeIDvs794Nhtssg+xq2LpoP+pnv OdDUieAMuATWQPf33ZQa6+QdMItz9NL4CeHObeSOPHIv/g0mrs6CR59SfCe/ kGfw3+HWG+ebbExgDWu5+5zt/mHLD009Sa54z/fMfxgPwUXu0oxzh6YmoDao ySLOZvlORQwRS7uSqCPwsx7e533zby9GTBFb2J87DLZBx9xbPnCugP8FHmcM /Rd8LuKXOXwHM3/k+0kv+/4g+/Nx1xbUQuR2aOyFPNQtnP26PO4tU/Ow7WDb EXwkF+51DcN4J65fZD7UNfBBfwMqcSbw+2zX/NT+xOlFjrsbHQ/EMTl+SKdP 1oY/9q5EbA1wfJEXyFNNxqjd1i1+3dt6I59MsZw7rAPGucMzpy4LDGXtBbLd uZWoOak9uf9Bgy1832P+rVnodmUWOYR7+nHLP9RnOcP6ARPIY9QWTc4FA4x1 5AvWkl+OGTuwxTzzwT+pBbq7jgXjySvgOO8Am41h+BC+xB3nFMm9RXJPz8PP rzEGUb9PMi7jH9RdxD65cYLHkYschW63OP/jPw86Rir2EWRFTmTnDJx9eRa2 oDahxgfvyGuHbSfO3m4fZX8wZLxlG2J7t/js1LLkC3AOnOYb9Uyz68NNno9v VCwbuXKtZNil+d2zmFttXwW/x5lnnkXuqcnjDYQ5xN1a4zH4M7M6+FBrc99p 9Lc1lo0zUPfUGRt5m8OGR/KosyYbN2t8Rs77qnPAZmPOFK9dYpuSm0qev9HY 2Gj6GdPPJ1FzgUHsP8PjrC3k4SfUMqt8N+GOctB3hIl55Pbx3qfzHQG57rcP MF5nP0GfvN+RH5/Owj8m2aYr7P/EAbgDrlFXcE+HJkae9vw66+tq+/NtWeDK rdkX9wHGa0yj/8w6oX6oUTy+rLN8XApbT/Re19tv8BneRJlD/YzfUr/ic7nP BZ+Sac5LfdjfsUbdMcjxOC2Pe/LnpYiLkZ7PPZjc2dMxeKl5EhfUVeQO3gl4 DzlqO4+0rsjD21xvY69LbNOl5oOeO+9ay5PImeN8rm3elzqDN2ViqCWL+LvK MhMLW/1GB+b0SOMe3eE54DBy8V7DnYiaZqZ9u1iK+9Cn+nawGOfkjF/SHper r8pi7wOuc87LYu25WdTDZfMkd5HjqOXgiz2wBW8pud+IPilH7uWO+5s86psP 1Z+ZBkYjc/c0anjeE873O16/LL6f6XEwp9WYSQ3f6jdSsAu9oBPi70HbBZ/s YhpMBaPxu2HuwYdRno9/oUcwp8V2wW/BGe4OD6VfxC40OeUh/2YcbAQL0flT 9n3i9K1S1EkLs9AF9Tb3xEN+tyS3cd8D6/9QinvtGNeo5M825+IetjG2AA/b /LaAzuqtn9mmwRbG0Sk1M/fIJq+fbZlPt25GWz+8OXAPm+JzjfYZe/luv8nx PcoxCNZdZh9u9Fk+My5eZhkYa/D4fMc4eide37SfEDPcrZqdLxpM3+94IdbA Lu42YCn1+tuuebi/Un/vs31Tx9E2jxN3/N8Fn+T/J/g6Pj+9HLFOHuW9qUcW /vtkFnkUeWYZIy82DpD/+/q9lFp4rt9+edPhHrmiHLkXnvAeVonaa7j6gZWo 7QZVQhdXOn7BIc5MbG/3OuoN9HaH657EdSz17GHbCRvx1jLU7y2cda7Py536 QusQe471fOKYOCe2qQMbbZdnxHcq7zhZ7Nto36O+mOoagzvI676HnOX33n46 S+o6nHocnaE79kT2Oy0/eZzf9a5R3vWcHv6NnntahiO1sR80Nh5kWZGz06eJ qeX2Z/yXXLTFtQr32Qbfg7jDzfT7LzX1i36TPWAdEEdtfj9CRuJhjLEIn3jH d8M5HicW6l1Dgw//B458TNY= "]], Polygon[CompressedData[" 1:eJwllUtsVVUYhfft7b09+54WhaamTYA+aKFCHYA6MqUkjtSBWipFQHm3DBSN QR1ogry1gDJAhUaLE00a1ApNcGBJ2jqgAwpTEUuQGKFBLSgmLVjqt7IGf7LW /h97n/91aje91rq9KISwHSlGZpIQpjn4PhvCgtIQVhdC6EbxGbIP3YvwjcFn a8C7OPsQnEeuxxCeSkM4ngvh2XwIo+jWYfM5uhPIAfh/6Dej24pcgtdzxzHw zgxB8X8E3gOfzf1LwMux7yLeu/i3ECvP2QjvO45cwP+NxLr72P+Cfw77pdj3 EK8SfhZ+Ef0Wwg+AtyI/oJ/F2QT6GuJ9xH1KQjV4bcHfegj/emJXIoViv6kJ /fPwAfzHkD3EWgl/Af0V+F74b/ByeBX8JrH6ORuEt3H/afAM0kmsfu67in68 JITX0fVg8xJ8f2KsnCl3dfA54G/5vv28dyH8IXgf/AC8k3hnc77zn+g36+16 Ywe6e8h67pvkjrvgK+hP4juo+xO/UW+d4Owc/u9Fv3UK/S7lE3kQXQVSjP9j 5OAr4g3Ay9AdQhoztjkcnRPl5mtkVeqcKDeqQSv3PYn/OP5V+GSwX8BZF3gQ /2PwpejnZn3H4+C66LfKRrZHo2u7EZuPwYuQTeAvsV8m38Sxz8CfgDcgvRn3 2ELwDuxP8X0/EvNN8MPYj4LPI9fBjYnxd8R8H31D9F3KuXI/hKwg1gd8UzPf 9ip8POOzMfhu7Huz7hn1jmqkWlXAG+DtqXOjmqv2qqlqOxt9beI7dXc1skjz hn1fzjO5GrwP/TfoViF3SlwD1WIe8kD0N+vb9c1Z+BA+DXn3qHr1guYDvg0J 2P6RepZa4X+BFyNtRfYZBv+ZWqcZ16yPpp4VxbgI/hlpBr/N2eHUM6/Z14z+ nvhMOuXoFXgRb2rJuAfUC0eid41mUrP5FvyLrGukWhWXuveGiPEr/mPRsz6A fg58Lrwy652Uhx+M3h3qyS5wU+pZ0zct0S4peBY0kwfBj5a6d9Rz6r2R6FnY ic0E+X0an+6cd5p2m3acdl0JcgOc4awp55qr9u9Ev00+z6ALqWdJNkXg51L7 XkaV4b1/R9de33A7eidpN2mHpZoPZEPWO0C74FriXGiGc7z33+jemq9+UKzo 3lEOh7F9ueDdqx2hXaGeVe9qp2q3zoruHdXwErwm8S6u4ewWusWJcS1SHi3C mhnNzrxS50o7dD74k+jZasfm0+geVa+qh8uw79COwH4L9tPc91NirH+C/g2T JfZVj6vX9Y/Qv0I7837qnlXvauY1+9uiv10xO8GTqXe9dt4UuCJ6tyiH9eD/ AUjj2us= "]]}]}}, {{}, Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[CompressedData[" 1:eJwV0slTz3Ecx/HPr/oVLZaMmSK0/ULlYDtRxnLBJTUj2Q5mxMEyY3BxESpa DMZ28FdwcOFQFy7liiHZSmPJkpHlVx6fw3Oe78/r/f58v5/f7/MtO3C88Vgi hDCExIwQGvJCGJsZwgeMok32WfYFnzBonZ0fwnvexCM8gK1627AdZ+xL54RQ KH+pfoET6g25IdTr16Ev9vgo9/AR7uXneIZZ9mzx/NlcgDXqtViJ1ViFpfLA g+afYAD3PWeJrBQlWIxFGHeex+Yf4aNzvDP3Q33Inv3WndZ7uYP38Zj5Zr2d OI8d8lau5D367byLd6MFI+azZSWemY9v+I4yWQeXcwVXYj5uo0JWzq94ozMO 8xCS6jecya85i3PNZXl/kjM5m3vRg8voQjdyUGN+BWpRZP85WcKeDASkZW2y s2jAXdk9XPI7utGFYjN/ZH/xC78xiSbzD/gh7phr9o5Gsxdij/u4H9WoQW28 U/mw2Wn1VLxf63/8lNPcGu8BhzEHE/iJlH4nV3EqGjdwHUVI2pvH4ziovsJT 8X92pul4P7IWFKgn3E+7/iQX8y3cxFu9U3wSp9FvPZfXx+9LfVG9jOusR3k5 5smquV5WqP6KUuur8XuMdyyvQgoL4n1hXfwezVyLd4HN1hm8EP8B4zBuPg== "]]}, 1], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[CompressedData[" 1:eJwV00lsTWEYxvGDSHVSQ+fqcLtq1bBSS1USpaaOmqqSIhENEhZaKzokdKUV BLEwSwiKiI2SWJhKDUnbxNCiEtGNIVph43du8r/P+zzv+33fueecG2nYVb5z QuATfk0Jgo2xQVCPDdjPj9Je+o0+o8tigmAv7eS78JR/gs/qfdFBkBsXBH/1 I/Qf3SPbjfGoIKgzsx61aNQbpD10gN6jC+yzmXbwDbTWHrdld9S9snz1bOTh HM7ikXyr/TPMjptLp39otawKX50bxVeZq0QLDuCLfLL8lpmbKFVn229EXqFf jjIUy5voJ3m3uRu4jlSzKRiSTzJzVXYF8bI4vJVPlB/GGes7ab5+Hg6pF7nO DvoGY+H9wQmcxCm0yEvtsworkcWvoWuxGjH2jEa/c8r5CpShCpVIMt+gv07d pj6qbg2fr3M3oR7VetvkBeHzdeYoktWttC2skYIBZxSaf0enmo9HLB+DLvNx NB4J8ml4b67IumGazqfhu7kEM8foNPqDZshnocTscX6m/BedTn/SGXR5eM/N dKM9/J2yJXrN/FKayCchh48gN3xu1pRjTD9Z7zdNoZWyHv37OG2vmjDTa+er aCqfhrn8PMwP7581Nbimf96ai7iAWtlj/UvqyyjAQb7O3Bz1XfqSf41X2MI/ t+YF+lAoW4jt6kY81P/AD2MIO2Qfw2u11wMUoRiLw3c0fH/D/6O6zvU2WXuE b6Ylsj7aTwexQn+AltJM+Yg6095ZSEQOshHBf1ukgE0= "]]}, 0.75], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[CompressedData[" 1:eJwV0Lsvg2EYhvGXRU+LgUkkFomEECQGIiyKOKWDRMTSMrQSZaqBWgxNrCYS JCyMbHSwsNgkNeAPYGEWdfh1uHLdz/187/t9bVs6n1qrCyGsotIQQiQewlQi hM5ICFm5i7+jIZQ4Ewth2q5bztn1cL3uRD7GuryBKOKI4Uxf4E00IW8ecK5Z PuJdTrlzRC7YjXKL7pRLPG83IW/ZTXKr7pwP+IIPeY6vfeMNyujwbLt+QX9n vkdC/vD70nIGX+Yfz/zhF1ndg3OX8hV60Y8+POnLtXfIi74nK+/pcvzKy7pb eVAewnDtfzA/u/MFjXLVuwvyuH0SY6jqi7ptvJnfUXF2yX1Fu33zDn/yiu5R npFn8Q8sWzmP "]], Line[CompressedData[" 1:eJwVz70vg1EYhvHHpLRpgtnQxCxCIl0lJmExSN6kNUhsgs7UbmGohEkT8VUG Bh9d2G2EgcUf0KEMPtKtv3e4ct3Pc+5zklNYWptf7YmIBO+9EdlsxAH2MZqJ OO+LaOACObsPnaL8yYPmAbT18rmIGn/1g9s85GxKdy99J32XT/gMp5hO3+YN 3U1U5HUU9f7NP/zHw3YzunXzvXzMN3yHW8w5a/KO7i625Cpm9ermSz7kEbsC L5gf3HlERm75SyJ/85jOkXxlX+YSnuyuzQ13E/8sy9t2i/zKbxjHBCZ1lu2f 3XtBXv717orc4S5o1TTS "]]}, 0.5], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[CompressedData[" 1:eJwVz78rxHEcx/H3LXfHGYSJDAZlw2ARWYiupJQykaOY7ixEWBj8B34sBkoG QhGXHwsLm5xyZqvdj4GH4dnz/Xq9P+++d025wnA+ERGTKKUikpmIFD4rIr7x hQ15ojIih185wYEdfZ4LSCKNFPb0czyPGtShFsf6VV5D/f9e7klHNJh3eZ1H qiL6zUt2A9yoO+BN3sYWhuQLv+MSRbR426wf1d/J98iYP/yfMfM4zuVDb874 iKd0j+5OzKdoRTvaUMSVd108zS/ezvCNfItrdLrt5ln9q30Z1eYf3+ww99n3 Yt/8oF/kBTy7KSGLZf27boXf5Ccu86C7PyWRNhU= "]], Line[{2033, 2395, 2027, 2057, 2496, 2495, 2135, 2594, 2854, 2853, 2220, 3171, 3008, 2125, 2943, 2944, 2707, 2706, 3003, 2383, 2701, 2213, 2700, 2214, 2380, 3143, 2379, 2847, 2846, 2808, 2810, 2809, 2106, 2930, 2105, 3152, 2687, 2987, 2986, 2375, 2682, 2201, 2681, 2202, 2371, 3141, 2370, 2837, 2836, 2800, 2802, 2801, 2098, 2923, 2097, 3150, 2660, 2970, 2969, 2364, 3080, 2281, 3079, 2282, 3081, 2187, 2361, 2280}]}, 0.25], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[CompressedData[" 1:eJwVzz0oxHEYB/CfkNdCWUyIMiEmFNuJkiK7O4OJU94GJovZgO0G7CflffMW mZAYsNDdIdNZkc8Nn77P//s8d/+7+rGp4XheCGGaXL6XhvDJB7XFIaRlhhSx shCiVOv7ykPop4sXuye+7bI8m0eJ8lMSwh+/JOwmdJPkU0gBm/oZOUsFVVSS 1Ce8a8k85D3d5jldj6zRbchlOWIXMS/Y9co13TqrNOjq5KB+12/YY58mfabI 3q6RE90ppe6+9K3mrGxzt2Xe0cdklKT7bZpz/1F/rYvJFs9H8kAey0M5Lu/t H3ikw/d1EjdPcWF/5u6Cc9p1r/aX5isirHied9drvpY38o5bFj2/+UyKNANu /wHCiEKW "]], Line[{2188, 2365, 2362, 2363, 2284, 2796, 2283, 2797, 2367, 2971, 2972, 2665, 3151, 2099, 2924, 2100, 2804, 2805, 2803, 2838, 2839, 2373, 3142, 2374, 2204, 2685, 2203, 2686, 2347, 2988, 2989, 2688, 2931, 2107, 2932, 2108, 2811, 2812, 2464, 2465, 2382, 2208, 2705, 2215, 2704, 3002, 3001}]}, 0], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[{2019, 2348, 2017, 2052, 2478, 2477, 2102, 2574, 2840, 2463, 2197, 3170, 2674, 2101, 2925, 2926, 2667, 2666, 2783, 3062, 2662, 2663, 2661, 2191, 2664, 2189, 2366, 2190}], Line[{2047, 2067, 2530, 2529, 2170, 2633, 2883, 2765, 2767, 2766, 2165, 2527, 2164, 2628, 2246, 2758, 2416, 2417, 2244, 2468, 2879, 2042, 2353, 2038, 2063, 2515, 2514, 2617, 2616, 2869, 2868, 2508, 2507, 2505, 2143, 2731, 2227, 2730, 2226, 2599, 2139, 2951, 2138, 2950, 2720, 3012, 3011, 2349, 2350, 2221, 2721, 3014, 3013}]}, -0.25], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[{2035, 2352, 3029, 2741, 2742, 2615, 2619, 2618, 3035, 2239, 2747, 2958, 2158, 2959, 2159, 2753, 2754, 2469, 2880, 2627, 2163, 2526, 2528, 3127, 3128, 3129, 2046, 2881, 2882, 2787, 3136, 2786, 2471, 2256, 2359, 2358, 2431}], Line[{2285, 2441, 2308, 3113, 3114, 3112, 3111, 2263, 3060, 2262, 3061, 2071, 2915, 2916, 2782, 3056, 2260, 3057, 2261, 2460, 2010, 2346, 2462, 2461}]}, -0.5], Tooltip[{ Directive[{ Opacity[0.4], GrayLevel[0]}], Line[{2447, 2451, 2312, 3120, 2313, 3119, 3118, 2269, 3073, 2268, 3174, 3074, 3169, 2075, 2542, 2074, 2541, 2540, 2267, 2785, 2247, 2428, 2355, 2356, 2248, 2764, 3047, 3046}]}, -0.75], {}, {}, {}}}], { AspectRatio -> 1, Axes -> True, AxesLabel -> {"x", "y"}, PlotRange -> {{0, 1.2}, {0, 1}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}}], Graphics[{ RGBColor[1, 0, 0], Opacity[0.2], Polygon[{{1, 0}, {0, 1}, {0, 2}, {2, 2}, {2, 0}, {2, 0}}], Polygon[{{0, 0.6}, {2, 0.6}, {2, 2}, {0, 2}}]}], Epilog -> Dynamic[ $CellContext`iterates[{$CellContext`dx, $CellContext`dy}, \ $CellContext`xy0$$, $CellContext`n$$, $CellContext`\[Delta]$$]]]), "Specifications" :> {{{$CellContext`n$$, 1}, 1, 100, 1, Appearance -> "Labeled"}, {{$CellContext`\[Delta]$$, 0.1}, 0.01, 1, Appearance -> "Labeled"}, {{$CellContext`\[Epsilon]$$, 0.1}, 0.01, 1, Appearance -> "Labeled"}, {{$CellContext`xy0$$, {1, 1}}, Automatic, ControlType -> Locator}}, "Options" :> { SynchronousUpdating -> False, TrackedSymbols :> {$CellContext`n$$, $CellContext`\[Delta]$$, \ $CellContext`xy0$$}}, "DefaultOptions" :> {}], ImageSizeCache->{415., {256., 261.}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({$CellContext`dx[{ Pattern[$CellContext`x, Blank[]], Pattern[$CellContext`y, Blank[]]}] = 3 - 6 $CellContext`x + 2 $CellContext`y, $CellContext`\[Epsilon]$$ = 0.001, $CellContext`dy[{ Pattern[$CellContext`x, Blank[]], Pattern[$CellContext`y, Blank[]]}] = 2 $CellContext`x - 2 $CellContext`y, $CellContext`iterates[{ Pattern[$CellContext`dx, Blank[]], Pattern[$CellContext`dy, Blank[]]}, Pattern[$CellContext`xy0, Blank[]], Pattern[$CellContext`n, Blank[]], Pattern[$CellContext`\[Delta], Blank[]]] := Module[{$CellContext`xy}, $CellContext`xy = NestList[# + $CellContext`\[Delta] { $CellContext`dx[#], $CellContext`dy[#]}& , $CellContext`xy0, $CellContext`n]; Map[Arrow, Partition[$CellContext`xy, 2, 1]]], $CellContext`xy0$$ = { 4.260000000000001, -4.0600000000000005`}}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{{3.5311881247718983`*^9, 3.531188157921956*^9}, 3.5311882322716866`*^9, 3.531188357789507*^9, {3.531188476396516*^9, 3.5311885034001627`*^9}, 3.5311885576414585`*^9, 3.531188598061129*^9, 3.5311886382156*^9, {3.531188669665255*^9, 3.531188696934103*^9}, { 3.5311912416790495`*^9, 3.5311912595254807`*^9}, 3.5311918640265427`*^9, 3.531191902855011*^9, 3.5311921008037586`*^9}] }, Open ]] }, Closed]] }, WindowSize->{844, 864}, WindowMargins->{{0, Automatic}, {Automatic, 119}}, FrontEndVersion->"8.0 for Microsoft Windows (32-bit) (February 23, 2011)", StyleDefinitions->"Default.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[579, 22, 130, 2, 71, "Section"], Cell[CellGroupData[{ Cell[734, 28, 430, 12, 31, "Input"], Cell[1167, 42, 7016, 121, 232, "Output"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[8232, 169, 157, 2, 41, "Section"], Cell[CellGroupData[{ Cell[8414, 175, 736, 19, 33, "Input"], Cell[9153, 196, 189696, 3100, 300, 132347, 2159, "CachedBoxData", "BoxData", \ "Output"] }, Open ]], Cell[CellGroupData[{ Cell[198886, 3301, 746, 19, 33, "Input"], Cell[199635, 3322, 103136, 1739, 375, 85126, 1442, "CachedBoxData", \ "BoxData", "Output"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[302820, 5067, 169, 2, 41, "Section"], Cell[302992, 5071, 1489, 35, 72, "Input"], Cell[CellGroupData[{ Cell[304506, 5110, 3551, 88, 302, "Input"], Cell[308060, 5200, 90553, 1573, 508, "Output"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[398662, 6779, 116, 1, 41, "Section"], Cell[CellGroupData[{ Cell[398803, 6784, 2955, 87, 198, "Input"], Cell[401761, 6873, 25287, 428, 236, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[427085, 7306, 791, 24, 31, "Input"], Cell[427879, 7332, 7037, 121, 236, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[434953, 7458, 454, 13, 49, "Input"], Cell[435410, 7473, 396, 10, 30, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[435843, 7488, 455, 13, 49, "Input"], Cell[436301, 7503, 369, 10, 30, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[436707, 7518, 454, 13, 49, "Input"], Cell[437164, 7533, 367, 10, 30, "Output"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[437580, 7549, 240, 5, 41, "Section"], Cell[437823, 7556, 224, 3, 31, "Input"], Cell[CellGroupData[{ Cell[438072, 7563, 398, 12, 49, "Input"], Cell[438473, 7577, 391, 12, 49, "Output"] }, Open ]], Cell[438879, 7592, 1489, 35, 72, "Input"], Cell[CellGroupData[{ Cell[440393, 7631, 5876, 149, 458, "Input"], Cell[446272, 7782, 89269, 1553, 534, "Output"] }, Open ]] }, Closed]] } ] *) (* End of internal cache information *)