(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 9.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 157, 7] NotebookDataLength[ 226592, 4237] NotebookOptionsPosition[ 224408, 4157] NotebookOutlinePosition[ 224751, 4172] CellTagsIndexPosition[ 224708, 4169] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{"\:0417\:0430\:0434\:0430\:0447\:0430", " ", "1."}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{"N", "[", RowBox[{ RadicalBox[ RowBox[{"45", "-", RowBox[{"29", SqrtBox["2"]}]}], "3"], "+", RadicalBox[ RowBox[{"45", "+", RowBox[{"29", SqrtBox["2"]}]}], "3"]}], "]"}]}]], "Input", CellChangeTimes->{{3.662260858056713*^9, 3.6622609384811316`*^9}}], Cell[BoxData["5.999999999999999`"], "Output", CellChangeTimes->{{3.6622609310388374`*^9, 3.662260939415941*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{"\:0417\:0430\:0434\:0430\:0447\:0430", " ", "2."}], " ", "*)"}], "\n", RowBox[{ RowBox[{ RowBox[{ RowBox[{"f", "[", RowBox[{"x_", ",", "y_"}], "]"}], ":=", RowBox[{ RowBox[{"40", SuperscriptBox["x", "3"], SuperscriptBox["y", "3"]}], "-", RowBox[{"10", SuperscriptBox["x", "3"], "y"}], "-", RowBox[{"10", "x", "*", SuperscriptBox["y", "3"]}], "+", RowBox[{"3", "x", "*", "y"}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"g", "[", "t_", "]"}], ":=", RowBox[{"f", "[", RowBox[{ RowBox[{"Cos", "[", "t", "]"}], ",", RowBox[{"Sin", "[", "t", "]"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Simplify", "[", RowBox[{"g", "[", "t", "]"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.66226095265088*^9, 3.6622609528227606`*^9}, 3.6622611906920385`*^9}], Cell[BoxData[ RowBox[{ RowBox[{"-", FractionBox["1", "2"]}], " ", RowBox[{"(", RowBox[{"2", "+", RowBox[{"5", " ", RowBox[{"Cos", "[", RowBox[{"4", " ", "t"}], "]"}]}]}], ")"}], " ", RowBox[{"Sin", "[", RowBox[{"2", " ", "t"}], "]"}]}]], "Output", CellChangeTimes->{3.662261193145253*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PolarPlot", "[", RowBox[{ RowBox[{"g", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", RowBox[{"2", "\[Pi]"}]}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.6622610914847717`*^9, 3.662261113251315*^9}}], Cell[BoxData[ GraphicsBox[{{{}, {}}, {}, {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[CompressedData[" 1:eJxcWXc81e/7LskIqUQlO6uSFlHGXYok1EdJlEQlDZGVFZWZUUpIUvZIZBNx W9nrOMfO3uuc95tEQ/3O99/f+ee8rte5n/u5n/t6xnW9jriFjcENllWrVimz r1r1v+///3Hfs7qQLyYQq5pZJ98f+10aQawm/N9H4d79Pm+Fj23HlaAu1Z/5 CXhAX4hNL0UeaZ85h0yj0/BUdJ/7ZlDB9SGN/heOZaHRUmWugLYmepverzyb k4tvu513ScfrY/eNgjVukoV4r+wJjaXrPKpvvpaX/aoYbXxiRohDlzB5UkK/ fQ2iAO+xdPKQOcrddpcZVC5HzX1Sm2TVb2BPECVOllGBvNudvJozb2HhGZaJ 7IQqVJujtj9/dg8Z56rrrI2rsaRN8LbfzH00oevv1OapRdolH4mFKgfs0WZj 22LXgMrLXhRbATfc817DdkqiCTfHWkRzPvNASaLiQERbM+aI9++kCz3GGe+P QWJbKKids0LzF/DBp283fuWZo6DzYnbN3GE//CS58kOrog21P5v97HB6ijU+ UcNut2nYt/n2sp/qM1y1x33FUq0d+WJ/ki4WIWhwY5bmztuB0x1zMgI5L5Bz 86lu9qxOPFd5a1HQ5RWGVZXuKJjswZdz/JPnw97gnqtKNL7cXnycH3yt4vBb DDKJ8jDx+Iar1GKksqaice0Axy5f3n70UltzpiYvBiNc3OVKXwyixxc4U+qS gAJHvFmT5wdRpVBnUcA5EUP8fgyPGQyhF23Pjxi3JKwV3Jl3YeMwasprHPv5 IgWdJcEg2mcEj+qR/o4/P6JcSSileXAEH3+0DxAQzcCy/cvbD6uMYp7exib1 U59Q6uUDjg9zo8hj+077ensmxufJ0d5qj+OOb8m6m87mYFTqP3aF6HFUeBrH yF7Iwcy6K22TxDje/DQ9rRiZizrjfw6/C5tAmfDPcxlTefhz5DllgDqJdxyR dfldIWptPaH+UGYKj798+Wi/2Wdkv5e1asFlCk+O3rosLl6E9bn2sRe3T6O/ r7lrb2oxPu23V0o+M4Nz8/+ssxpLUfGVSHts5AwKz3S4RbxG5Fuadb04PIMt zu8amg+UYaFmf8eszSzmH/pearq6HB9ruXKYuM3hw+/um/zjK3BY7Hnut6I5 XH1Q9PsodyUKydIXWX7O4Q2i3fmxUyWGnVdV2HufjveENi2e0alCoScH5UvO MjCbf9hUeOErPnrnF7PJh4EPhZJsDEyrUcyJ++JSAQPbg3b12NVUo/Iu8d5s bgKNxYcLdaJqcMcH0UW9GwROTsQWyhytw3vl4ddeuxB455bmkn9KHca9vuAm EUyg31+o8thQj44hmwznswjU1z9w6E9/PS6e2+pzqJJAe6PiKWvNBizbFHik gEpg4sbDOtppDahWwPLgzjyBrmfMhbgcG/HJflpe9CoSXzvkvuzrakQq/+cp zvUkPuVtKJtVacIjeb0+nwRJPObQnrbnXRNe2o5sz6RJvIuPLoX9a8InG07M J+wn8fz2/J6tV5uxLz69c0GFROENJsrp2IyXVNT/KOmTKBgyOvzNrQWn1v/0 l7tAIt+zQ1YWXS24c/brByNTEhPFpd+Pb2vFbT/ZxD5fI3EyPPQU58lWHGZ/ mXn2Foncqu+bQ+1bcakza4/IPRKz00SaH71vxY5+aTtxOxK7ggZn6+tb8f5r GQsTRxLb73C1311sxUNmV2dqH5AYY+Z+yFyUgmUN86zWLiS+dJSqidOmoN1b h09arsz6+u8cl7tPwVJJ+ndDJr5F87m3/JqC+Se6Jt8w4xtUujaxlFEwcXJb Cr8ziVGz51hOjFOQd+Na42rmfDZpbQKfudrwzLVzu9OZ9eRW2R+4vK8NlzQk LtYz61U+uQyy59vQ9W9PjP1tErfyFVo1O7ShNfXhS+sbJI6+HQzPfNWGI+di 7heakbj6jExJfU4bbnGYfXremESBm33tW9va0GavkLyGAYkZ43tHwhnM/APf Cx7rkHhW/ibjKDcVubQ1/Pk0SNQHaR4+WSr26lPYlpVJlIxNNeI8TkXC5nbc 3r0k7phYuyBqSsWuvobWIkkSP7fd4D7nREXvi/Hr32wj0YFXu+fdMypeKPAb aOIhkc3ny9t/iVSMk5lvurCaxDuqsdH3v1DRRlTpjuJ3Ap/Q+veRFCrqrvU8 c3ucwJNeCbmu41S8FFy67UcngZIx8S/W/aLiaEOGTXctgeq5OirR3DT8vVK1 svkzgSk8q/btFaFhKseuB6kpBOq1Xfr5RZ6GmRlZYRERBCo+N5c7rk7D8oeU bYM+BNoe+3yrVJeGhvYR9V72BCq1T5juNqHhO+MYR6+rBN7a6lfua0lDtT4e xoAugSbCD42b7tNw8JL7xjfKBBavO7j0242GEXeXS7J3EEgaNjjz+tBQXeJ7 7671BFZeN6pjDabhzAbnbDaCgYah3ENdoTT0KOg851rBwLIo56/+kTR8/etr SHYoA49fznu68R0N+bXu3866xsDrP6P0bWNpOOZvRnc+wMCli0sacfE0vPzU 8BDXKga6LuTFJyTQ8G6emtXtRjr2Lgt+cWBibtv1+a8j6Hiwmj7Gy4xv/fbJ 9LU5Hb1SM57ax9BQavdQyp1ddFwhikWi39LwPwvhuc3zcyh9PGB3QAQNn3/y DAwvnENdtSZN5Rc09FNKJuYfzmGBYeKmxKc0zLr75pWcxhwq/2vQan5Ew8CZ 1F+aa+fQnAuTspxo6NJvkHWsZhYPnZph07tDQ6NpMQMJ/1n8atpx+t0VGtom Pn88fXIWb9BO3o4/S8Ptb2bob9lmUfv6/Zsmx2houW7RseHRDKYHZt/oYPI5 cujgDj3VGVSJel8VwUXDQ3PqilU/pvFcyJHSNUvM/RjRKvrOahq/inQs0+qY +6fLrI9NbBrHRofElLKo+Kk5oM62YwrlOH5kqUVQUUt8yOL80SmsYCHfHTCj Yt7ESQ3awiTe1zWxETlGxVeJLrnmSZPot8zzMlWcigcHcwSzOSaRfd7QI7K/ DX02pZt6V4zj2JFPNV9PtqFS+CUvO9tx3JhRP3BNtA39ztixvBAexzdpIt4p ixRcPe7Pf9dxDK1KFkN2vKMgxTvWcGn7KHoEyDl09reiaGhGV1XlCLaU5crF pDHxhRnnvtsjqFh+6CHPg1b8nNI/t5I/jJ+zKqCDsxXnZN//MT05hILnrC31 1JvxRfjk8/GpQaw8zditUNGEUm3HnnUEDuIaw4xDt443YWOI2KcfUQPIcqnX pFKtEUv3mQ8/jPiGRHpN5PVN9VgEDrxjVzswf8ZJ7LDaV9TYunrZNLwdk5XA dS68Cm0pw6XCDTSMjtP6xE+vRMUEj/qQA1Q8q3SEt/VVBRo8ElxU+d6CbvFS b7L9EZdvacWeHatAZfv7ovvNcnCw9V7GkZV0+GSjp10fFAO9AZd4pEOyoT7m YXt7eAI85x995i6WD6Vvs8q8U1Pgrdx/736olkCL2XclAYdM0L4muGiT+RV2 fqyKXz9SCFVJZzirGilQaBw29lLpK+AWpSffktvApCj55DujanBLCv244QkV BD3Fr4m51EB42Up38sF2UGHVUDUqqwMtMvx8REAXdEnd895zpRk+9133GvjX D+bm0gNrxqngXZHCGl47AMOmnGMFHjRIv7bejXFyEFz3P/ivZEs7ZL9yPszK MwSUnM3rYnQ6YLdAryYRPAwyvVkaf7K7YDej4tXLm2Pg0xn5ItWvD1jkWau/ lI6BlnY3P49EP1SufzO7uHkckFPqrO6Xfji56K/oXzoOO27ctQFiALTWlJm2 r52EvMzN/0J2DUG1v9U/L4tpCEvlLeb2HYH9Ldv6/BKmASqw43LDCNA/St15 OTYNQU9s3t/cMArLrLNkzvUZ6JtZjIqJHAWWcdHIxQuzoJW9R1Q7ZQzGZk3e /A6ZhanzLp78M2Mwv3217K+6WbhfG2XlvWccuN/pZ/coz4ENyx7jI1njsPHZ gTer1tHBrJQt61POBMjrBFbFqtBBfZ2u7oGFCdh0ao3Gvrt0yCi//UHtwCSM 9Qq5b6inQwRnivNwxiT8ULZzRmcGzKYWe/PGTcHmRSv7j7EMiHZr1vXqm4Lf IOvnUcfERHfxza3ToPlc0XxiHQFb3LHSKWgaSst8enzOEmB0sot6yXoGdvms S/a9SkBU+dymNQkzoMngtlqyIYBXWL1tTc8MzEASQyaYALcqIpztxCys+v7M eOINAc7rFrjWOM8CO0vEX/4UAlS8Cwb10mZBwueLV1kZAZuDs6oqeeeA/fKs kmojAcs9TTZTR+cgUfVyi3QnAUtJmG1wfw5cvYdfas8QsDI46DLWMgfpHwIq Pb8TMGf8pp7z7xysCIUMSq0QMHr7se7N3XT47SSwG7lJkMSiqkovOuxoPBGc zUeC7yXXLyUZdLg2K6HJL0jCJ23vyfEuOgTSGW4ToiTM3RPtVWVhQBlr99Wd UiSkZVL3lOxiQM2177K9O0lw/vn08Q0DBnybUOFd2UNCwJqPHgddGOD0wO/8 8/0knG073i75ngGmkn7wUoEEi0FBNaUqBpzmKhFiUyJB/V+Xo9UkA8LnndRn lEkosX+xo3ctAbIpNX+OHSGhS+XyUd4tBKiKPspbp0LClbOnHrbIELBOX7ZR k4m/ejyqF1QmwLBxKXWBGT8UcE2IOEnAgwPNJZuZ+FTC2zv6RgQIHtntnsrM n/1JLk/BkoCXBz/PPD5EQlS05weKIwGt40Vf8g+SEEv9dnTAm4ADmq8itfeR cD39/NHLoQSIdBxRUJYjQZ/9+IOTsQSY88tq+cqQIL/3WtH7DGbfbU+HHJQg QcR3ZPRaMQGJ4797jgqRYNDm3PWyhgC541OLGfzM/sL9h7upBMSz8BR6rCeB fX1NhVw/AXq0N/8y2UiYnznwLmySgPlyIkvrLwHdf9S4b8wToPHHt/joIgGx T89tePObgF7dAd4YJv8mJm25B1lJ2LHXIfXGEAFChcJc+5k873qR/PRlBwGH BDJ2v2DyfEMtq1CmgYAb5uKHzjF51qIHaUojAeu/6/znJMYczzOp+TybgGb5 42k/mTyvFebtuJZIwEKOk8u3XSRso/ZsTYwgwEMzb1l4Lwl6fW+Vzj8lQOrE UeuSAyQkX+S2sHMloKO5S6JIkTnf8v7mVXcIqHzcdJeP2XfWgXOFqy4RwKCy J9UeJsFl15CFvQ4BEZu27e9m8lSnYCpgcpgAl59azieYvB4N0BHPZ/KsPREx x8nEkeH8Xf78BASm96/byYznWPfvFZWFgOpfX/+LZebnJbhs9w4woPdK72k7 Jq8rV+P10gsYID8ZGRDF5NXww6HIHc8ZYGnskCzE5NXoorxC2A0GFP7oP764 m7mvLYrXrVVhgNX0RU4pJq/tzSl8TrwMeAWOqWnizHPSLnd2ZpgOfXYjff7b Sdga/LnhZh4dxF4/sPqymYR4oaYoui8duPgP8GnxkJCVE1UmI0OHgk+Sgpf+ EJDU2mM7uDgHR9pdD44z+bRU1ZLLrJyD6H6YqGbyverOymDs5TnYXuqw4N9G QDnrLsZu71n4FvpHa8M75v7i+H391+lZUHx0KE77OfNecon/9WvTLCxq0rZ3 ehLwE/cmxbybgZ9P355eukKA/1vde8Mfp+Gbe9k7XWbf1qOocNK9abji9SxH bTUB7U8N+wv3TsNFqR2cvN0MEIVav55PU/D4lMEr/ScMILbc3++cMgl/Wg/7 6H2lA0sPW72x5SSUrE7bVxtKh128KXwZOyaBJffjQ05zOnge7bpT8nYCMoLd o8eW5uCe1p7afv9xWKZzFcpvmQM3We22+7qjoLukeT5IeAYm50pU1daMwr6G V08Od0/DzHsjnYLPIzDvoptbHzoN3L/qPaulRuBxQuajuLXTkFj37VPxryEo swi3v/ttEhyKzcMTDg0Ah9aeoyUXxyHyDnt+NLOZlSKi9YNrxkHibhmXNWs/ DKy8FdqcMQaEwKLwR8o3+OQV0pf/bxRmKJlTrnd6wN9MuEv79QhsFridVhzX DuZB5ieTYgfhYGH/qvzYWojq0PscZEaD6z6ObXte1cAGUtPSJJwK0h0ePr1+ 1fBZWinvUmMbvO6/XPPPrgo6zs/zCRyiwHG3kBxn4zLw3b/z8F2WRjhWbBDj 0p8JuzuX80LnS6BwKOAmdSwdbKMD7wekFAHfmyTWZv4PkLrF96K8aQFwyrB/ Cg2Mg/k9LsE/KzKB6hRYbPXMA7gTz3HJiwVBBZtTl5ZwChqck6sK4ijAA493 myY6pGHQlw9GAsZFuIbHRFq0MgOjTRf2/04pwQ2dZ7Y8icvGlT+PMnfvqEDp oMgtHHOFKLA1bJL+uRYDIvqNC/UqsEU2ZHPoQBs++pP20H6FiU9oHrRKp+J7 pXb5xA+V6BziujPMlYY2/p1CpitVyH0iWrlzUwfeWc3lXOJVg8F1vYfEj3Tj sUvP0j5ubETLwOr8daYDyJAYUPKMa2T6g9CJuwKDeIB0zpPY14Qr7hvYUx8O Ylr2Q9X2Y814oV1ZjFtnCFuLGBZXRVtxNn2d5O/uYayIVxxYNmnFVTvu+7Gq jmDEjgeyi69aUWKLmJta9Aj+Pbc5eysrBZPKjGTkTEexYftxofUtFKZfmeF+ 3DaGblf+1VSvUJC959TBwD3jOOIcRIzuakNJaudKrN84ej45fvv8ozbkvCNQ Pqo8wfSvP/5LTmlDs9QkB46QCYyq1x2xaGlDnogXGrLjE8h+N05l61amrr/i Laj7fBK/z0pd2nyEiizCakraw5PYW8TV/tCEipzagq/2KUzhfomHz96FM3X+ A3pOPm0K1WInRy5mU/G11/iE7o5pnH8gjr6NVBRPsFIvs51GOYn1+0/8oaK2 14+SvRwzWEfLCuvcSEOLN0FfJA1mMMk9fvu4FNO3mIs9nXwzg71yU0P3lWno LXv104PhGdyxKkr44Ska5rx6UNssO4sg82nbOmOmDxxRdZu2nsWnpVWHtt+k 4fcQU/earFk8eW9uOtuehr/0Ap5ZfJ9Fg27HcqoHDVkuxD0pVJxD576PJo/8 aXhgU79SteMcmqam3ikOoWHfhp9R/rlzmJO2odSP6dsO615K+0POoYVZ595J pq9TLD12X1Sejo+W2XIGmL7vHoyz063oqPLjod59pi80+JT0+kYcHY9GZ26N YfrGfIvdl7166HjYzOqYDRMXdQa9ObGRgZ0HnrAPx9HwZ5pzWpIWA+WG0kp+ v6chhWr4I8mVgSy6YnUYRUOdDVbzGukMHM2yiN0fTkOuuHlp534Gli4st5x/ zvSJ29P5JdgJ7BmUJOT8aLjCEX/OQITAC8FvM0oeMuMVrqY2KDB9dcGxunXM fnT82vU7SIdABY2u9VuZ/WJYvFEMMyOwr7L4yhSzn/oCiXojTN++fOhVypPT zH4vfzrq5Efgu1rO2QkVGj4+/3az3hsCHZofKAvvpqHou/ZOy48Exk+8+yi9 jYbPmq7EVpQQaKV3wYmDjYbr9AZCzJoJ1Lio2lZNUlHO/VOzaj+B9slfH/f0 UXHd82fOV2YJjAzJc1uqpSKHZl5x508Cr4/Qz4nnUPHIE8uVZDYSJze8T7n0 looG32JSmzeR6KS9RuKDNxXbWaQPnhYhsUNsj92Gu1R82/eYT3gniSaU6vMv DZj7zXxjw/GDJK6sdDw7qEzFxG2cQ6WqJB7d5k1fEqKi4C23kWBNEr+YdeqM rGL6r4dXbmbqkchn6+n1c6QNg5ZfcEgbklj15OUj9eo2DDgzeot+iURJzbMH 8pPb8GbvFkVOCxLrTEZCrvu3Ycr7CUGnmyQ6+ku81bNqw6JKLqrCXRKtgv67 5Mj0tevL1IQ0bUlsSRr6NiDFPI/qql+S7ElktO8/9GJNGy59bPY0diIxuU7f K3iQgj3etUdMnUmUfZE93vWFgu4a3LVZLiS+Z2N9+uA1BTdufMZp5Erif3/a X1vbU1BE9sKkLhPvlbfUQT0K6vQ+OR/KjA/4fanTVoaCey/raO5i5nsy6+vh u4qCCvJ/Cjcy51Nmi/Zi7W5FBV2WvFPMemzJZXlGJvO++jek2WZDov6SUZOO fysq31H1TLtD4r7OiE/bzVqxo6LZrd2SxDMuDrssFVux7Yid6VlzEkcfa4bL c7Wib8J2PSFmv5qeP4ieL2tB1dIe18PnSSRuqN0Iu92CJxS6hVN0STzNwXdS n68FP5wzdrA6QaLSp1kPKYtm3Dh/8eLAfhLXBpJ2hhzNKChf6xMuQ+IunT/F pelNmNwcmhQjRKLcupMZV380YpJNzZlPrCSmfRvgSYtsxG2vnmbmLhG4NlJS 3kC1EacUDfPWTxOYX+izu8ezAb/dbkmpaCRw0xdz27pV9RimHZx+OIBAwe91 4vPv63C8Nsd+4QGBW6tePihVr0NV2dZgthsETrh4mdxwq8X+jpDXKmoE/hEq 2DpMVuNdL6E/sw0MtDvTLSjyvBon2++fE4tmYI5nSNdxuWqkGX3ZzmfNwKio LiEby684oPf2qjonA4ef796s2FuJjxT71IcP0DG430X+vWslqhZJa9/8PYdS 0WCkKFiJDqKPk2sq5nCyV+HUWpMKrA9a0yehP4e/dqZZ8/SV4fXbotRHRrN4 4ZrYqmyPMuyR558R3jKLQn4RJmViZTjA9cUqpX0GF1Mvxdg2luLrkxE2z8/M oImuF62aXoy5+6T+zB6axp8nDwSfOlKMEdUnNVXpUzi95f7tzX5FuCJ59ktw whSGHu9xLpL8jDEgdFlj/RQmvxq0rbmfjydkXsRrdEyg78BEOVddHnoLXTVc 8JnAikcO51kl8pC78/KTEoUJNDuf5ajZnYN1bGnJH56PY5Cg7q4bV7Lwo4el /1GVMVzqP779Q1UmOmfoqPCPjuL8j8sua/dk4ml++9XCQaP4V+htkglHBkq+ 2qZA7R7Bt52vrYg3qcilwzV2+O4wbvwHP88GpqC4kOIHNt5h9P7LsyfoUTLe khaUksgaQp/s2p3DLomYtuwYeW5hECeSJ/t3fIhFRtw7bp7BfpTriIm3r4xB Nq1Dsabb+3F3gUf7jar32CUrbONr2If/fE7t8bn6Fm+fvLXOs7oXOTb13bHE NygSuUnkykoPclg2hiXvjMTXaUs/Dh7swXNCuKFcLBy1c4t+D0d1YWARz3Bb +itU8UmqaGjuRHaRg28LtEKx/JmOd/2qTnSU6Ft17W0Ibn9Jhu+0aMfIHLd1 hdnPcLCjqynyBQ2vz05rbdMMQsL7XT2UUXGPnW12f44frvYsVdXb3oYSgQWX VK75YKkBxpcrUrCL8uvqrn1eONDysOXemVYsF4xx/Sb4GD/KnT5b2tqMVXXz z/5peaCYZ7DakdVNGKWeEer5yhX/U840ttzXgJL0p3UBIg/wErddstGVOgx8 7vnUZsoWe6MXdvfnf8Wo+a0OCYZ30VXlckb0UCV26ndgwrmbKEQULDlxVeBp 3rwn+k0WKJS3pOOpUIZmF6h7uXxN8ZhZ3VTE5y/o4LhJS+v2BYxG9fBRjs8o rl+5eebkWQwvUb3Aa5SHOvdW164GLay7bzyvkZCFnNvVi8e+qqBL7fuH54fS UIlUHfAl9+C6fz8ODDon4OLxgoe9V7aiuKzu+xWRN/jbLFpGVXm+VPj7tuSt 4b7I/nwm9VTEl9Ivl78JqJ++C3erQsqObuXAzC9nRrJNX0JdP5uXXPoONFwd kvzqdQwocb/RTwtXQGcNSsrz1Sngul9yx57YY1ghKZXgcOsT9H2w6d87q4Ou pp+mf9zMgeEgSdda/nNoHFJUZSBYAKyX++TlPhljR5DWxviGIlhou1LWFXMV d7atWl/iVgoe9pFZF8evo3zbmzUq/OUQQN/1oSD5FhIPpz5SZirg9QHb3KDR ezhxNu9IcHkV5LebCRzQt0PbjG02F8OrwWPSbNTspiMSQd5bRG7XgohD3pnA Emf8+jOPp061HjaWDby+fdYdc1eh8on1jZCpw27ayfsId03/C3btbwJSmS// Mf8TbK+Q2mSU3gItUjzh7Ie9sTuEz9qipBXaQrgHx7r8caHAyfaRfxtMdYU0 dJ4PxJLTC5S2u1Tg0/U62TUXjAOhgSYnztJgJuDwIE/xC/xcfLbj0uYOkHyu 6mY2G4GPqnJyIKQbdiro0SSjIjEAKjTu3e2BO1+PZ9w0isKibyvCd072wpMm g/d1S+/QZDLgVMrPb9DzzbW+wToGlw8WsLe39kFAf7+lmGUsvlXIoqck9cNp vqeTRbfi8di2lUFemUHgPvovmOqQgFGrGc2dzwdBXErn4j+fRHzTqH9scGkQ +mrL3+8tSsbvLddYY74OQa+H8z/5mx8xJDf2tInRCAhesw5fG5iOJk5rPm7N GQGRrm4e+5wMVCzImNqwfhSS9+7d2+ufiYVrwlpiykdB/mVNS+yqHBR3kOj/ JjIOe8euBryNz8GrL1885XAYh7XLijGPtXPRN3s6zKB2HAr4Buc6IvLwi0vU F4V7E2CmYSVz+HQh8hJQ2ZkxCRbqwMP3pxCnw1MK3v6ZhBNf1u+5k/EZFXbG 9FmemoIYLc/NpluK0W1N+cjfgSmYurVyIXO5BP2CpXfOrZqBKKnVS4uL5ZhO bYy6yjsHB20Nw7svVODhxZ1au3XnIKRZPp+lsAJr5C8ltfrNgd2J3K1r3Srx 3oYwl7jfc2CStcdojOUr8m2MTZVqp0MP69ixDTe+4h2rtXR/Dga4KTE61Gu+ 4r/qRPb8IwxwNMwy8wmsxnW0TkXLKAYsjIQN12+qxR3c4gY/pAnQ2RFtKO1Q i77/vd+Xr0JAP8tV92Pttai1JLOddoaAmy2JD1+F16HzgoiYjBMBjpIvBIt/ 1CGr62iriT8BZWfYSI8L9cjKb1s0FUlAD3tKRvHmBlTic0kXKCbgcfQvjR32 DdjZ6vwkp56A+RqJu2spDShjqS+T2k3Axk2ujQKBjfhW9m7520UCJuJ90xQm GvFQwabCSBYS8iiSth80mlAj7vzjufUkPBERXeu21IS6FkLdEVIkNG4WTzhy kXlPRrKxVO1jxkfsUOMqbEbHfCdvGRUStMzd2ocEWtD8U/NS+QkSXBaJBzkO LbhPdPrPSz0Sum8+VnSktOCUk7j6G0MS7nry8j0TYOqpAl2bzssklNIKc5uP t6J65lc9nWskHHzXwPfAlqm/am7FzFuR8CqXrH38thVfa0UptVqTUJ3dcn+q phU37NKYG75Pgk3U9ayU+Vbc69mYsMuRhACdW/uKhCiYc0z+dPIDEp6nf4re qkXB5IrBjosuJOz78jij9B4FA8OGToIrCSG7V4kmh1Owfk1WsgkTy3Q+ym4s Yf7OfpYzjRl/rWv24K5RCv5uVHu6z5mE/7RFnIo42/BAsYPeDHO+0QS1887y bbiN9aZPrx0JL2gi2VcM2lD1y69bq21ICK6IdrdybENtVx8109sklAT/Sg2J aMMqj5rTjOsk/DiheKStsA0Vro9PFVwhYe3uW0qy3W3IdvGmU4ERCYnuMvnB y22Y/k3WmH6GBPYcSvuKABUV+C+vMT1JgpnaQpm9AhXL3zxkrFEnoTjtTfr0 WSpe/qYXO3KQuV6t7D5Tpj94x1mX+EeWBON1F9/X+lLxpb9I6BlhEn5zKupJ x1Dx/FIyR98GEpKlaPp2hVRkLRrISFxDQqjw8taUFio+4TdS+sDcP4kLxJ7K MSo+60y7PDNOgGUkIYy/qDgQ9HD4VicBdqNX/CLW03BQ0yJMuoYAvyq5Ldri NIyc7tGRyCfgTZ7008YDNLwtcnLINIEAtVtaKWLHmX4utwt6XhCwIW7NmaMG TJzne+G1BwG7VRNuylyl4dqlf8KRtwn4ZBo4S7lLw0XN6Ig+QwKs6/0mVZxp GC55rsnyKAHVhuIPzJ/Q8L1QPEVxFwFj1mNV6oE0vJEUhKf5CMgvzuZtfUlD L93fDueWGODUtiZ5YyQNV6/2+RZbzYDUaeXZf9E0VAiYEfZ5xQD7+EGDiFga sk/2Z/27ygDq139XaUy/25F3U3yzHANurb34KYfpb5cFq9Z+XaTDv8/pU/v/ h8njHPyldHgVzN1ymul3DWQlh9l86JAjyHXg7zsaOhnfuhytQ4eLTjw/Nd/Q kDfp85ne9XSIj/UVEXtFw6v1igmVlDmo7FfOehpEw2DH//4zDp0DrTEHmqcX 01+OfjB9f24Ogkijsn/M9RvhUP/rTXPglMZRwWZNQ01N65/arbNwZnBe5aUZ DX8V3h/MDpoFaW6WpPdnaSgpFtbefXIWQq02RRySp2GVxn/Kd4tm4AB/oLzg dhr+/nekT8F+BgwKJVK9mX626r2/DnXXDMy4E1bjXVQ0V18YfRc+DUsmrQvd yNxf1+6NtulMg6WN+5xuIhWJtqyz0ytT4PsxPvHDHSoa9slHUq5OwfEbPEYv dal44oh3csqGKdAstTVd2E1FUuah732cBFZeseNC420oIvIqYmLbJLS84bg4 zfSPj/5bfN5SMQ77cxm/3YWYv/83efn97XF4x/Fy6RGDgmKn/1I8N47DuhrX 9J4QCnKdmx58cnkMKGy1qvVlrRjtlkNhnRwBPcqnxxJpTei5cYtlRtcgbN1e /P20RBMmJlOlHtkPApdBndWl8EasLXHanswzCLbrf1QcdGzACQ2+aJ5H/aAu v/EHx/o6vB2UZLBdpReGHsQq92ZUolH8WG2kJw2sNdhrUhYrMFJTXEolgQoH wnl2hxyuwO+FzzOFatuAh3tiXVlhGV502d1WzUOBzc2/HtnsKsbnj4POB+5o gCuHo6/+lk/DkpC7HB/5iuDgavh4rTsZrXf+rgr+mg+T1ctsvG4J+Nj3d9+c Uw6YLlg3ypyKwsXiy2b6WalQ/g+23jhwGi5RutbrSxqj9HcfUQeODAgjhs+f qy7C9LofTa70TNByLdfv5ylFyYTeuAPfsuHkwXNX/6SWIRpWq34tzweeTY9E suYqkePJeqXInFLo/V368tuteozaJpwu/6IGZK0XTm9/RUXv6L9B09G1MDJt GFZ0mYZ59TU1rWl1EFhvl+Yn2Y4Tgns8vtc3QP0e+43PszqQ0Hn+pnRdK7gb W4iFlHWjCK+HvdItGhzjSgy1+TiAtrecwi3P9MGuvykLESfH8L+Vnp1bpvvg d2ShvPr7MfzD/nVLknc/WGQfrlhYHMNdd6vvHv08AJw149OeMeNY5KUyUMM7 BOWatt8rpyZQf9RUderuCCyf4zO+oTONdpbjqjcKRuAoRBqEv5hGLV+Oey9X jwKWfShL6ZzGaJNv9cSrUdjzVcrZ6uoMjvNHOZ4tGAPNW/t5N1+fxYDHKdbK ExOg7nhn5hzTry6+8774Y9ck/Kyed3xnSce69X/qZe5NwhWTA2ZpkXQs1bh8 pGN+Ekp4nNPZ/jDjC7ipy9+noDxvxeh9FgMD7j+wmz44DRbFMX5dvQw8fVd2 fr/dNJRy3FO5wUKgwVoFodzZaRAND3C7vZPAYbkbO8S7Z8D+5y2zAhsCV6to p5pumoUuFYG+NE8Cb4XdR6rOLIy6HiV+PiPwhYg4eeXzLOz/N8IVl0Zg4Hn+ U9aMWUidXV35u5BAdeOQD8mSc8D1ZfhuxlcCvaW3GoUGzQFrzuozIn0ExvuW CqkjUzfds3LqnSBwtOzREDs5B40uvfdIksBtonEP5sTp0Kn++/jV3wT6GIkW zfxHh83vrnPKspJYrdAf9O8RHdri0nq0uUl06/n2TeoTHdRaDXsr+EhUiZTs jGbqKvoad7FKMRLPk9OU9fsZMH7T8AshRaL0qemUpIsMeM0oLAveReKn3kCW a54MaPQZuvVGnsTLu2aDjiUyIJZO/hQ4QGLNjV8rUM8A91Z64RpFEo/5RfBd pjOA1a3w+1UlEoeDeurqOAjwv8u6eu9hEn92Hpae30ZAQ9gFpXtHSIz0EluX xHw3jE1//RBRIVF++tf10SMETJn/TjjGxFrRLrs+6hDAvyL8sYMZf/77e4M/ xgQs+XS69zPzzdxr66ZaMXXWea1gY2USOaZGy/Y/IGCb/05j7UMkXoiV5eH3 IUA/oMs87SCJ33lda91fEiB66Yi81z4S64P1V1u9J0DvzRedVjkSjzeU17en EbBoqHMqVJbEQf541a8FBNi+1Shv3EHixJ0n9oqVBMi23TvzUITETNOSEKlm Ag41LoclbiUxrjiw6FUXAesyr6pqbSLRegO30JNhAvC1HcOMi8Sm8TNjszPM d5FF1XxhDYlSPTdP074T8Gdl1anVfwi0u2/jr7RCAKvs/msBCwTWV77u5V9L wnnry/efTxP4b0zp6T1uEspCZY5sHCIwRqy55ygfCZXBR59u6CRwYm6zaNA2 EsIiDPY+aySwqpTjwxlREnxFfq0OLCfwh+8CLUCShGj7wl72fALb1j/4q7qT BLtTE1FrPxAoxRURcGMPU3f+TZP2iSYw6GfF8Jr9JGzPm77uF0LghooBxy0K TJ146PAJHi8ChYX+K3x/iATRFEr+FkcC9QpYJN8qk9DB5ZOTbEngCZn7ytxH SCh4ma5YakTg7ItsVwYTe5eKqV3WJvCzqKfj//6Prj4v3vxEmbn/9xz+zMPE T3f8Rx6QZeY7uth7khmf/zoux3oLgYkFj10WmPnPyelIK7ARuKBx7+AGJRJG 1MxK1k8xMH8zX1Y0sz6DbaWzrVUMJNsj3kcx6xdLW+DPes88/xd/ZXHKk9Bb qO+e5cJAMQ7+2Anm+kGZ6w7NgIFu2xJ3KzJ1+L5dBxWFdjMw8cFZgXlm/5Sk PRUDWRj48l7abhFBEvxeH2re0U1HLT511c/M/sfl8t6azKDja6unIpVMfvSE eR/0etHRs+dkqwSTz72PjWgXdtNRVrXqtjOTb87JdTtHV+Yw/+Rma1XmfuBo d/qd2jKHYW01j3mZuq452+nelO0celidlxtOZo7vW9F8/GEWd5rHNzxl+pLB 6UtmtXazSGGJ6vYNICDzVKqn+pFZPCNTyv2EqdtMkpQXvlbPIOf6jYe9JQjw TVvHm9QxjUeq3rv1rydgue/1i7rX08gx5gniiwyYJOx4DptMY59aSPOf9wyQ 4TQbXdc7hVrbk54Jj9Ph8APx2RHaJDre/2BqnUsHRYW66dYXk/jM9O5Gp8d0 0FkXayCrP4klVeFLBVvo0PR9gC71dQLTPWYEdiky77cfDjvqP47jSr6A71XF GQg8l9QsbzmKe618tXmJaTB5UM35dvsoHlsnmxiWOg3LT2KP57SO4JY0Np6D 26ZhNGeUxjg8gsJOI4I/pyfBkSPafBPnMNZYHlwle2kcNmdGCLKpDGBQVzFf tvcgKI1sO4uO7ahDf9LPITEIln2qF6/0MXVs8emWsw8HICc14NUpTRrqLAaN x830wc3y/KtiTJ3fUSgX96CwB8hLk8nPvrTizq3xvdKCNODmnhFwP1GL2+xW 7a86RgWHmNceATtqMNeJ/4KLVRvwi2quWsNajdtKFkb0c1ohMrcpyaKuErPK pUpPedZDD6d5g35zKb7Iu9GtN1sIg+nZj+OG01C0nXtyxjwPVnkPnh5vTkaN Wgdr1Y4seGFzKzC8Mh6pB4s5RB4kwrV0s+DM4AhM6Tz154RAEKZyVQ6zKXvA xhjjX+9WleERTUG9nIBMMHt5PFKophyfOWkXfNHOhi1bCmQ5gitxRrPe2HN1 Lmy8s0qxR6AG1Z5RHZctCuC61qrNGmLNuPOayeDJ0RKY6mr58+BPOwaMepes nqmCyGVHfqKmA0cULffzv/gKX/jDemJeduIj3eu1zxSqQWUsalewVDfKf9Wx S7avAeddCw8Ljn7Doy+s7wi11YFWpprd9rV9uEn1ZArPtXr4LcKt7lrbh+pv jFf0yXrYYTr5l1N3AMP2/Zf3eW0jrF0nWtEiMYRPkzz/rPA0w54WrQyvR0N4 ykMhVO1pM5jSO0Uj+oZQ4rndu7LVLfAue9u/prBhNFqqexo83QKC0hL9An9H sPen/IbIplbQGzq62uLCKArefzSotooCiZdObiPSRzFLTqP6yX4KxPx1vVBj MoYxwexmc88poOh7o4ElbRzdu/je66m2gXVbojzbyjieNRax/3WtDdytKt7s 15/A9weMz+gEtEFfOyYszE3gWHc4o72tDTwebhz2Up3EyZkHJ/kW20DwtNXN vQGTmGCzpeUHPxU0koxHGiSmcIa2/kLuOSqwyNQU51tPoQ254BBiSwVuQ8mY zIIp3FLmzrIliAr3dcIyv2pP44x793VZpMK2ZZm1vc+n8fiT8KG8DipYfJ/K X2ifxjfRwUILs1RYujc3ucNsBlnvKdKe8NPAsMPpm2LcDLZn33vYJUODg0p/ +Y6OzqARa5baqDINzl3xGgKpWVS6kE5N1qZBWOzvmAM3ZtGAunq9lBENnszY FPInMO+drQINptdpsMZM8PX40Cyypv9YPmdLg64XXkVxInP4sXxvGKcbDRwv v084aTKH/XLJHx9508BZbWqs7dUcamY5XioOooHT2UdbNZrnMCYAG4tDabCt Q2PoJRsdW04EHfGOZNanO8WoUKOjyED0nMA7GrDyi/9rsaejgPpJNadYGoh/ TKIVpNBxYe7Y84R4Gmy2Mjvm/I2Ox5S9jBISaMBVYyfOy8vA1Gcbtjozsevt ifmwEwwMkz+6fTmOBl/K52Y+OzPwtslkjXAMDZRXzXs6pzGw4uGQ72wUDail LgdavjFQZdM96s1wGqBQfIMp851xN/l+JPQ5DaaGjqRGCxN4Vqzgsp0fDYIO G3BLKxDI5hY8xeFBg8EVn87FUwRqxEXGm9jT4O1VyiKXGYFdlL+md27SoH1d tMlNewKDj4f/UTehAQutaTW7H4Gbjsfbd5+mQTkvlTEVSeAhc98adVUa8N/P 3c/7kcB1DTbc9rtp8OCJaJ9jCfPdrNtg6bqNBibZDhuEm5nvqo0uuzEbDYbm qfNr+gmkuEzs55unwrFZ2dydcwQ6X1c6lP6NCt7lh4KDmbqxvLzVbnc1Fc5Z xqM8J4lJTQrnX2ZQIdeHJZxbgMQrOh7nx8OowFgeuCYtwdRByTy/d7tTobWp zsdtD4kX3RW+3TSnwp5vxuZcTN21bDD4+p0mFZ5Pqd9oP0aiTfuJfposFf6Y aHJ26zB10AWfG7xcVFjrYNbMf47EhnLTBYPZNhiSSFcPNCExf6neKKGReZ4u es0pm5Po8DrbmuNjG7Ay7B6I3CTxiFaAoDfzvO0XOPNE5S6JdeZ/9YSY9268 wcGS57YkntR+vbrjRBvsY3k6KOhAosCW68r5Ym1w0po745sTc/zvsL/lvymw YE4haM4kcm7ae+tvOwXYjE8+XOPKzDcYG2b7iQK5kmr7rZh4rZVTqrA/BeZk RxdYmPhc9xxl3VUKpApR86jM8frfE4+rKVHgzHmO+z3M/MYbVI8UMf3ltrAZ 2S3M+T27GUu+I62waHtm+imzPuuvml9TCltBcLddwwFm/fJaqYRkcCuIS/2d 2chcX1fZ+uZV5q3gSON0lGGu300vLP+YQitIHN0Sac/sT66mLMccWysss/G9 +mFAos/ZYzobsltAgm6Qlsns78aMxol9hi3QvhS6J47Zf+1bEiVaS83wkWXZ roGpwwPPbk68/LoZrpAsfXJM/la2XXz0ULkZqivnqZH8JB6W+PCRy6kJLpul GiRxkKhZN97+jK8JhC7Fds/+YupGJ8NY7cxG8Ai00tnF9Ck3VDVmAycaIFTU 2laiicDmtwaGu580QOKujVuMvhA4WKV2YI9QA4SFclQ5vyYwSVN9i7d+PfyZ 0EjPOUngHYnfxZnptfB8pZpb4iCB+Xa3xV+croVJjy84wzxfN/T+fTg4VQP3 G0uLZEcYqLuwzXJ4Rw10jqceSZRgoNrB1LreiK9gceu30E0GHf1SfEoqFL6C Qhr9x1wR0weGTL/PolRBXtD+XAN9OtII74d1XFUg3R6yOddyDpM+aHq3PK4A +5S0rd0753CCdWrDqGgFPHuYkkCbmcX/zvRvPFFaDm12q9YZ353FK50fz7L/ KYNtai4pfcz7NWDi84ffy6VQ46/VtJ9vCuXsrbZI7PsM631p0r+rJjGquXdq 78NC0CyskKtxnMS5KtKmqaEA9mw3bLCnTWChdHsPYZ0PrfsO3nfxZb43CTv7 r9bkwEE21tXZ+8Yx7lHmZkeJHPD7dsyMvWcMJ0oeyPt5ZkNOi/p/ArvGcOWg ZksXZMGz1VKvZMpGUMtkAXbkpcN4OU9fyrURdIn9JTAb/BFq4ursrrGN4JBA QrfjnTTIUDt/M/TUMKbdW94ro5gKux5svaFdM4j59QayN9cmwq9ts3Ur1wfx sY23YgxbAhRTFbm4WAYxcearniZPPPh+CZtzcehHw+myabHdsRBvzX6tT6sX qSrarMcvREG1rdO1PPceDFn8u/V9cSQILB2W8s/qxiazpSVnuddw8b9nimpb u9D/zvjA9v1h0K0Re2yvTifGEqlhwl9DoabwzlMVtw4Mkjh0d/2Nl+DO3ZRR 0UPDlPOZvadePgeLc4mhepw0PJ7Py78sGAxFr/kqNilR0YWL+z+dLwFAqS6/ djeEgjaiNWeCTvnC2M0S4Y1MHaeUGLWzVdEbrg6oXxZvbsH9HR/2XlV5AmmS oYZPnBqxZVr3ESH1EL57fJJaW1ePAYXXIgPqXSDI4kqIp2Ad8qoucFHinOBZ 0Ik9LHdq0POpsv6/DHvIO/IrOrroK/bojPzVZdjCTp2rwRacVfg9VLqqt+Yu 7Jj/nmFuVIH9PQIlOwSt4Ii4bGlaQhmahCn8qGu/BnIcZr/jhktwLn/IVu2H GWh75FrXuBZhee999vbNxvDjS+398Y0FqBa2WeAb+zk4y/UqUzwlB4X1Gyr9 35+G/RSFb2/UMvEW9fvGwW4N0NbcZTqRkIp0U73vXz2UQJAh2hrVFIdyUoo/ L2nsBCmni8p7ZiKwL+zYl402m2HV8wh9awdv3H91z07a8Jy69YEhKZnPd0Di z/YIVvti9cE+38NXZF+AtbTo+lPsa+Fio4o0vesdXDzivC/0rxgkK1uVSZ9I grHRaDHp/P0QsrM47JdgOmjVfnpJOaEODYJPfI2Ws0CBvLK0l/8kvPjeZ/jI Ig9ij0W8uWV8For6mlg6GgrBvl1yUH/FENYnpA4cUvgCOy4Yl/c5Xobgu++0 H0chGPW8Pqk/ZA7bT3q31T0qh/qq6L+PyBtg98BSQfpgJURuffzqyJ3bwELv Wvd1tArcGTsp0vo2QCReehcWVg0xwVv6vuvaAVilaD/9XgdD5/Y+lFd0BiO2 QKHAuAYwZV1zdcsDN1BsYN3pfqYJIm/68QTPesAXk6HZ7watUPWqgTNQ2QvG w6/UxclQQGqkqaYJfICl1Ncomfmu2JQ4bzp11Q8y/7KOh8ZSoUxoQ5bWbCC8 6t6cfIepAyy2aayzN3oG8t1TUS4n2iGxI/lfmHUIOL/a+XPLaAdYHnqQV84f Cl41LoaeW3uge88zgnfxNUSN83mf+d4DNIWmf/SPbyBa/id1vLkX9D74iYLd WzhUhSbHH/VBtKzWsVObYkC3w8b7v1uDEJXofjZrYwLs2SB4v4nCxDncdVvE E6HnzfUTvoeHYPVYlrnfoSS4U+bGiGIbBkboprOi9imQOVeX3BE+wnyHRTuu 7kuHAP6onsLlEbgWVrL6uHUGbN2kG55jPApnxYsmTT59gsPxa48ObR2DySEP kcviWfBrXOBPYuA4TJ6B6vuUHGDl2llPGxsH7vyUwa1euXDXxcH9l/oEWAhw dQ8eygP5KJcYQfoEmClV/3iRkA95ErbKx2AKdr5JaY0L/wwfnlpKFoVMwZDU CzN3oyIYeKJkzTU0BZvzQx3o24rhrL5jm6zHNLzqPHzkfPwXmDA2PkBPnYHT ylrnJKsRRjN/ztSSM3CmB2sGtcvA3CVl/qryLByUWLm1/1MZzJzwcP5SPgsl Jua8Bx6WQ11VZklT1RwUs3PvfSdcybzPrJvVWejQXZzUeNu3EuLunh4xVKeD +tqlM7cZlTB8TzL+TjYdJH+ibnd5FbC77uhgPGXA7zYzWaOb1XDnzOF5nS8M +JnkaBnVWg2TGp+pynMMYMSVt+PhGtiu43vcQoqAEtNsGU+uWvDvjb11wJUA m6IK3k9pdXDeLWWnThABCa/84ma56mGvdoDll2gCWOuDd369Uw9Vxj+a00sJ 8Nk/oiW5qwGMHl2t2d1MwP3WxvuR/g0g9s62Y3UfAcH58sW+4w3AfqlSKHeZ gJTG5dqkmEbordhj9HwtCQs9r4Rr/zRCtmV4RtlGEgKsN2erX2yCYZNfayVl SZjI7ajhYPox4QACDA+QkJEnPKZj2Qxb1g+t61UhwXfmvBuWNsPRY158I7ok zKYmWgtbt0BAiFXF9fMksNyjPV6saIFK+5zRw5dISP62oYzO1QpjJWdPWJiT IOObbzWu2ArzbcLZfZYkGH48a2dq1goX302t/XiHhB3qURFn/FuhVM1RpMmG BAut7vDCzFb4aeYwdNSehANO/AdedbXC0YvBKuxOJOSEWOzt/9cKUWMXxcSc SRjJ3W78UpoCxRnmAYEuJPA/kfT4qEuBrXY73E65kpDAt9NO1o4C/tOcv42Z eLm1j4clggImVjbbSpjxouthr2IxBVaJRs3aMfPVuLR+LumngJ8MvnBjzudv +C08YnUbtCr9kOtk1kN1yM4r3dEGReuPTfnYkhD/b5xrr2YbPAjzWva7S4Lx YkjY6A2mns1/HNp3k4TUu/6GvT5tMDPR+9PXggSj4ARD3sQ20LflsvO+TELK 0Z9J7pVtMG1y5VSHIQnfXm22EB1i6mfpBaq7PgmSFJXkhZU28NqVe9dZiwS1 QynvFrdR4WW6gWOdGgmCtyqdxRWpIFp07IKtAgkUr2v37M9QISIh08N6FwmH 6tnKJ6yoMKfjc71clISmv+uLXR9TQZPrgvfdzSSkn//zSTaSCh/trpnbcJDQ +jv5z9wnKtTGv/Cp/02A3AkP9pqvVOb7Yv7Yg04A5Xzh0cweKhzSn5oJHCSA 0yFMIolOhdCMJosFCgH7+kL3J66mQfWTwwF5FQR4iaf+SeWjwfyODm5qNgHf N7gKZ0nSIGdLZZRuHAG5Mi+VCxRokPc0mC7xgoDRh29WCo/TwO+RTOUFT+Z5 ORQik/MfDYqb+vsm7xIwdeuXe9wVGvz8fI6zx5iAgQDRVq/bNHhpbSOwW4uA sKNH/p1zpMEsv8m3b/sJ8MxL/87rSQP2WltlQohZz4XDyblMf7dGXGW9JTsz /yo5QWD6P59T5c88hhlQ8Drc9GMYDerzVZJ/5jKga73Hs59vaCB92e4/8GUA pZK7c8d7GtTNS6uAAQPcHQYrLjH957vtXEFdQgz4lBR/WInpT7u0VMZ4xukw f0Gy/f8qOPN4KLsojofIVpJKixTSQsoWKjqlVEpUpERFiwpttlApCaFN9jU7 laXsSh37vs4Msu/bMDPPQ1FR3uf988zcuXPv+d177u/7mWduBhXvvz0905fK BvMF17RrKL7tnHLyOGPPhsGX4/sfUvz7533Lhbu72OCiRSaVRVL9KzKuKP9l gYlZvllMCAOu2KFXJLLg059Ks8VvGBDmergi+zEL8m5vzefzYUCat6Gy6z4W /P2WFOzzmPr+I23Dv/9NQCx9mUoQlY9ijwzRbQUTsPCVU8emGwwQXWDLFnea gI2JFtO7TKlzLFS9olB5AtyPCs/XUrxq8liwyzh+nOIWN9UbWxigJeLx86jp ODQfMyy/uZzi5Wr3QgHRceBaZb507B8dTuRfLfjpxAS/xeav9zTQ4dMcZ6ec PBPO2fn3LcmmQ8YIc1K9cwzu/ByUOkmttyLRlDPs3WMgIiKVvPY8tf5UdqVH jY5C5893ZdGadPix98I79cBRSN085PZyDR1G0qysVcZH4PbN1a+immiwGY79 K/EZhiMCp67d3UYDsJSbkFMcBpd0N821803wyol2N5wxBL+uzsfJNjaBTJzR i/drhuBVEnPe5GYTnFJ5v2MufAC0xIvM1AMaYebSwgK53QOgcb3+aYdJI8S9 cLrp2doPe+U8PLvXNcKiCI+MVpF+SKh0O75QuwH+3FBIu3KvF4ouv+MP21wH jpkpSx6J9EKMoXP7aEgtaA8d9/l+vAceHZH58Y+vFuJSL25NSOqCqGGRTO+2 ajC+auaYrtcODvGz3RZnKyHsjueRPVfpwOzwsFtSWAybn1fhs2c0SHikotbI XQwaoXcUpT80gb/Ml8h07SK4uPyhL3Y2QOfO6UV5dgh0+fVy2zorQUhf/4Xw 4nx4fq5s7ah1NtxlTG0xdEkEjYzd1yy6P4Fkd1/UbGssnFj0Q2Q6OgXoo6qW Dmei4P3q8JGUxghwqyJPzLS+BFOzojMLBCKwsei04EjYSyxxFJrcF1uEFRZ9 qt+4s7DPp9OVvFSCcppiv8k1Obh5wb68KOkyPNiQnUSq5eGUIdMlPqoSD90X fjbvXIA+AfFMY68GTCqJUfgVUIzPkqdi8j1a0OnXAWmflzVY/3rDHuPQPuxu OvgqcUsrdv9YoWA72Ydx+Z1darmtON/dQes52o8R/c6scZ3vqHDb4Er8734M FK7annq5DbU21iS46Q/iaq8/7aNvO5DYdPWnFJ3irdeuukJCvVitL2PAv2EE T3Xb7l11qhc/cSsvW2Ezgn2B5/n4Q3uRzHuoF8I1ikW7bvS6b+rDarXDIrzS Y9j8cFIpGPrRPTMkIFBtHCPL+y48vDaIYm4SLW324/jiqpPqkQ+DGOh2RUwm YxyPbv3RVMoexPm0y5Fft04gcb5TpsJ+CJVCZ2WGhFn4JioiOOzBMKo7+8rL HGDhIrdzElFfh5GPW9fHxImF/Dus+fb8G8bzr9fT3vWw8DH3mhlV1xGMLb/3 MSuGjWkEc0+z0yiaX5855NfAxh16pxoNckYxR4ffymyOjZ+W5/ccmxpFF8mN xz+f4qCDRn1qgfUYXv/D3e4yycEDq57Z7TBmYv4G8fHvQgSGPtXSuPKKiZfz d8Eoxed5f4z1eSqZuIRxUspiH4GBnQnSDurj6MVhS2S5Etjl9+V425IJJOe9 u5e9JHBNvFGk3eEJZG3hcayOINCn6WnogUcT+OrkP6cDeQR624pPO05MoOoK kdiFZQT6vbkdQpdiYf7ulRKSTQRe6kizPmvMQlPG9VaTEQLLsj0f1RWwcP6w hPgDkkB5AxntXDYLG5+9iJ/+Q+ABadHdBevZODwr5l/FQ6KNcq9WmwEbxXmF //0QIvFA1EoFoUds1NBr4ncWI9HguDmhn8pG47C87tNrSFRW/+Yc087GPH2B TN8NJFbvyy6d5+PgfZvpwjWbSCxIedBiqczBs/uDj/HIk5i4bts3uhkHmQk9 kTo7SFy/aSzggCcH/7YGC/Yrk3jrynLXzDQOPuIYTnzfSeKTzY5JG1o42M+2 SpDTIDEmzEr32RwHRW+z3rbuItHosyd9aimBa0fDj/fuJjE5QHmRpAyBuUGd m3X2kGhXe8imSJXArPmP6XxUfEeSzOrUIbBV9MNNWaq92ohY6C1jAquH+8gY qv/9GedaHCwJXLdxmP5AjUS6u74i6UCg3Vx2Ro4KiW0dN+70PCUwmvZR9YQi iaF3t1mCP5V3V59FR7eRuCBx+4hIDIEuqnt74zeTaJqi2mCQRuCOZVz3LaRJ fHRt/4J/nwn8eFw1/LEEiQtnky+trqDGJ3RGiGclicNLZIaiaQQ+6ZiJGFtC YkVp5wP/LgK12hO27FxE4tfzPrIEpet+174Xw/8IfPbKqS+b0tVcaHHmv58E /vKKzB+gdA36ZObhOkHg7qh3X50oXQWMy39Z9hPYnC6+0J7S9Sk/uSi/lcDE rVrvGctIDJfdmOVQS+DvzyaM0NUk5m1S440qJFAiIzG1eD2JF6TuC6hkEVjF ZXldX5ZE1s+M5p1JBIaxCC1NORLFFGeeJoUSOHa+/JbvdhI7Q5I1vH0J/PE9 RHsPpavlA7NVnQ8IfCBlxn+M0vVBXNXJmJsE/nU6tfKzOok8PNmr2s9T+8Vj dbUXpWunVHei13FqPu05zzIpnYzVxvd80CSQTyb+myal4485o3WH5Am8zGzv kabijCOngkxWE5gm2HvtKtV+u0HJzDAfgfHZ9W08VH9vLHYp9oxQ61DycuFf Slezh/GJY4UczC1cmHZKlcTG+ScriBAOhhxq1ORWIjFiQv3oz9scVBGIWSKs QKLD0ViJOR0Ortqxpu72FhL1s4lbi9Zy0PRq+lYFGRKfOdkrrOGwMUMltevA OpLS315fvZiNx8f3vc+kdF19wuqLQzAbGUM8N+ZESLyalqQ2YM3G52fHzDP5 SaxLGDE7vYyNniVvH1v/ouYhRF97cZCFyTHdzjYcAk/U+S+NzWah8h8Zg44h Akev6i7uPs1C/XtZdtzUvv+trnqhcyML44d0yz5TdUG7PcxRcmoCZa0fz/Tm E9hdkEt3ejGB8kf5D92LpuIrqefp+ePIFk3prqfW+0MNoy5N93GM7zI//5va D08SV1xeoDeOX+7Usd4cInBzx9mFMR1MzPv+5+TyjQSGmGfuCZsaw8HB1ppP HzmYaZW0a5HAKJqW2P7w1GPjzevetnZVI6iwPnC1+Fo27tp/POKG9wh+YTTZ +I+ykEfTQmkB//+/B92vO/2YhdYOSUyFBcPYJdtttSVuAtcMNdKP9wzgmz/R nZdzmWgkOi9OCx3AJnOuw9YOTAzvZzYsMxrA8O7XPM7KTPzo4WXaUtGPUn9F /dPfjaHs/KQkpvRh5Bm/86XPR5F/VCTgW1c3/qiQk/HdPIxRYabqW090Y46F y/Gw70Oo/GT+rF1xF+aIB9t1PRtC9w0/gr8mduKFw5YdAiOD+O/bRd+6W+2o rlCjcDBsAO/umZwZ4mrB3qw3O+O7e3GCNj3xz74Z39p8Xq72tBc3KaQPnRpl YFvewUdbtvaihaJSc1EDHR//S73p2N+NdncCnAxjmzDLR1Oy50cHaral7q/N rkYBPbvgmpFmdJJ7dP5CchXO1V6W/SvVjGtebE9ZHFGJabhe5KwpA19+im5i epbjnwcZXxJqaFgftzbsvXUxnnp571b1oQY0SHzz7s1kFu67tPu1A/V67Vx0 6L/H0XDQI+usoUo6yJYInSlViIc7QoTkHflM4KTEfnRtTAKdUOOEioIciNoS nGY4kwaCvkdjfbu+gj/XmGrE5RxIGzjD5S1QDnLrZzz4g4rgZOhRzw5BGpQ/ WPweTxfDAelN/qxRGqisu1Hsu6wE/pKGRTrldDjGS5gZuJeCQlT1+RjXZlij vXCQb38FHDzZNvVj8DtEfBnO5WythZlqoYCYRz1wcUDeakV+LVhWrNSr2NQL uvWM2lU6ddA18OHy8he9cNTZKfGTYT2Uu2mOvz3TBzy1SYwnso3QXcc1PzfQ D3/Wq6CTeSOcELVL2KIzACdG1wq3hTaCfJJepWfCAAx+9L3+fVET3LYbWlR1 eRBi/d9VMihfm7b1CnuieQiMtqdnr6d87+yWm4UqlA9+RE/JaZGnwV9e7r8+ 3sNw8/S9EN/HNBCr7rxwbtcIBF/K4fNNpsFSedbd6lcjUH42MO53PQ2iFnvW 7B4agZTm/V5bxOngKmQdI/xiFLJOG4mPa9AhJNrL3LJnFL4m6l6XMqHDsJfS xEfFMXjJG97JDqCDstNPK4HGMVj9PGqB90c67L0iMyciyYThV0+GI6rpwLXB MuiXFRPy1gVzNP7Qoc+sKNGCaxziXROPXFzCAAZ/u9svnXEQX79VS0OKAXpL em75eI/DTr7FTmXKDIgRDE5bXjtO+WSXLH6KE7UvJPoGLJ4A0+6MrzynGJAo lHZukf4EvBQdu5V3kQEdClYuVi8mQC9lQ+YWGwZsXNRo+KWG4pwSPg/jewxI SJA/N8PPAh+1WvYBNwb8XKslJKHDgqfd/wSmvCmOPH6as4nirDbuS/NX/RgQ amAbuuIzC3qWl/O9DWYA3dA0aWiSBRuzeyyjIxhwS76gKECODecXSjrYRDNg 6uS+iA0WbPDRfhzIS3FfpFfqT88gNmh/s9p9i+JCpZm/wWXVbPi68v5gMhX7 DDmfbf9LcSPNVDqPam843ihesoMDW04Ev46iOHE6R7n4oTkH7ghatV2IovJh dM2A/zUHbu8PyJoNZYDM3+Fi828cWDYnN3IvgAEKN0h5j3EOxN+8fqDlBQMk jGi0fCECir7dT17tSeXvq7f8CikCRjXPcus8ZEBfYGo+fScBW6fcdU3tqHze 64z4oUvA/bShJxevM6DlfMMfx/MEZN95g0ZmDFhOuzxvcocAD6Mwib0GDLj5 PaEz4gkBikOMYsn9DLge2la9N4CALayU4d9KDFCsfsoPCQTEfR2voFH67qbd a4/IJuDdpPunlKUMeJva4numjADuHNPfPhRXej+XunWLQUCI+8oFd8ep9bhd q623nwBtu27FS610SP7tIp9GEKAroMB1qZgOJ+uiq5r/EjDm50/YpdDh4ytC 8owgCYsE3Z+FB9Jhs+OOSKWVJIiEiJl1PqSDKH9qwRUpErxDahbtpvjrQIfu HEeeBI99lkp5x+hgJejaR9tJwrm2UK9zSnRovnLxlzCQsDa0q2jjSjrwnkmi Rx4moW31jug1f2iw63mesIcBCdF2rUzoooH1kfgDxcYk1MzusA1BGlxw2bH+ 9HkSKlMsl2yJocGoR6ue1mUSZnZpv510o0FSWctjl+skVDcNCc1Z0MC4dIuj 8E0SBv0CtI/sp4GHwkv25B0SCj/aa3Ssp8FGh9cZCvYksC6cGsv72wRSah5+ BY4kLLhy6cxQexMEHfazeOtEgpLLQt8ruVS9ePZhvtmZhM3WHm92+zdB8qW3 BuYuJORO9rpZ32qC81wimnupeOC6u+3skSZI2u+Qc5tq76ou5M6WboKfpzfn /rhHQo+kYOuRuUbw32CsVedAAvtYedCS5kbgPihi8NuWhPsHZtkHUhuhaFTr t9NtEpYkhi1lPW0ElsYHAz1rEjj1zxWXmDXCLb9/NnaWJNTuk1sjv6MRbE1v tN42J6H41rx3BlcjFOR5a8SakKAZbkc3TGqApP4PdYKnSBg+KaOvcLQBVs8H dL3TJaFulGE5N14PZ2Td8h7tIyGNb5iv9nk96DI35D1XI6Eqa+nbkJo6oC2z /XJ8AwkBB1Y//XCjDpSvpcVwLych9ElPJZOvDuYXpdwl+Ei46rnwzhqoBWKF /qwTkwBfiyUtG9pr4Drp3r+8g4C19JSYR/Y14Mj9ZslENQEVjc/tbZOqYaA9 ZVo/mYDmGW1XiX3VsP7SG7nOQAK04n8TR79XwbYf5Jskan/cvrLit/miKig6 +P30/889HoLIkTiLChha1jR4c54DA6PfIuNmyiExLDw9sp4DgudP/3N9UQ7L El4Km0RQ+9nelzaVVwbbI7qv3FfhwMFVzvxcS0vBvKwo7+MJNiSeSn8hkFgC /SITRa7L2fDtgEihtmYJ7Hk4zRlvYcGS6S+Zd24Ug1RXfkXaGRZ0xtzlb68o BO+E2QubdSfA8VySj5d5IRx5kygK3BNgK01sujWFsFqSJ3Xx53FoOHVvkZfp NyjKyU3vlB2HhJ8hD/ft+QLGS9gYzR6DlSsmv7Q5foYLV+dl6iPHwNrIJUck Kx8Sl1etrz82BnRmzMcwlTz4ePlRvVH8KMSdNmFJ6mZDpMfM+9HDI5BwLTfE zz8L/Hg2C6xkD8N2Rutmhd5MGIXyQzv9h8H+Ql31hscZ8MYgiOtc+xA0/9q6 zy4/HYrDNkVkmg2Ch43K6nLvNLhzfkjxOtcgnBRh/Mm+kAphk69EDajz9J65 qULNyg9wUMzbvpjZD82uteFHihOh1uB6cbJNH+xds6yW53MC+K4NdDkr1Adu uutaF+fGw+WtOnVn3/XCpuiSXReLYoF+mD2dXd4DJWkvTTYpR4GYx6mt7992 wpY9B1wqXSKgn6deaJLWAV+8S2JVGsJAqXzSai1vBxxNWLVoLDwYRrpHs1Qs 2yBwr1Cn7fIgEJo0PawS+B028ViPHAwNANE8gYSdJa0w6MjYqFbpBxaxzs+u SLTAk5R70i9sX4PNiRzB2MPNMG8u26xu+BLuz9qcWGjLgJ2dPDM+D7yhsLnG 06SU8gFrGtdv0PCC0svWX89PNIGTkzXf4GIPCI37rP1OrAmG2m2bo/nd4Gab 2G7bwnqYuciZazJ1hUm3zvF1QnVQULywdK7DBc7ukNSNMqoB9Z7aIb439+Aj X9D0wsgqkEg1kFBytYeE1Mb4y4MVEFd/fDI3+i5EvbARqZUrh9a8d4+Spm6C bJDpnMGdUjCZ26B/V+wGGPls3MOVXQwNcx+lFWKugNOQTDz5qxCmyJmzypHm oJAbssPS6RsEiW2OeStyDvin62bT/n4GjfmzTcHFhjDzM8G7zy0X/rT84Pgl 6cE/D58iKd4saJs87rDH6wAUmYsE+Xt9BN/XN+O/6WpApEvvwpxl70HdQa1o 10I5kJ2TWKaxIg4EHdXavvQth7VnPlcwFUJAmHbQPecda2/G1Xe6382fQn3u 4k8fPAv3Pv/18Fin9S2Uz/fSnIjkg9OsOB7NGj88aWb//pSgNPTn/RXSqXyL IsdWarVmKcPOs8pqPP2JeOtcz3aBfoAHR+DfTHcqVsjz6XXrHIH0avYNs5sZ qJgXFiG37SS401o7XZnZqBuZ0NwkdgbmomQs0DIfAzf4D95pOw9efQECf/oK 8Imb4fX93y6BxvAPZ97thRg1plWv8c8SpGK2y15jFuG1Aq3Nx1KsYfqLv/TS xBIUu+S/d8mVO9Ay/y+QbV6GnJt9PJ9kHMF/r0/oQkYlSjVWJNw+6Aw3i75/ dXGvxtVt/eeXhz4AudWvNZhKtfgm0EvsGdsNeM4ZJdj6NuCuyHIGe8gdJgck 1XeGN6LHft2VOO0BQbcNooTvNGE1zAf+vewDt1WNlqWK0/FKwPU28cLn0JQZ hleZdGTNiKZMqb6COXU5JZMCBtpmVXxerfoGxvylZxrOt6Ak4+Wh2JlgyBgs FZAIakOW4LJPPzxCYbXSnrdVFu0oePi3N319OBjarF1iu60Dh/1d4YtDFJyK NtcK+NaJURtnb5ykx8JiveQcneYeFLzD9Bopj4P9twxov4714ppFq4y+Yjy4 fPz0OjWlF2WX5SZ3FiaC7w4ez402fRi+I8Oo9N97SHvAhX39/Yj3eIdV16QA s/GnYsXeATRSFl5xcHcqBCemX2ZTnJeUn24y7JUOUg+eif04PogxdhcELspn gIbbn9cPUobwp88ullF1BlQ6p1eKcA/jG7bwTS3rTJCbOxdXZTyMF56sfJWV kQXZPfOn4v8OY2/MF+0W41yoqlYQjtw3ioXrBGX+8uTBjWOCr4VfjWKzylm+ 9Iw8OJ7aVu7dOYoahrfXPFz+GXz+tT+LsR/DC9sOXdwzWgAf9Krlp0OYGEIP Pq4a/RX0P15retLDxLAXqfKHTb6BQFBTIp/sOFqJH8x4VI/Q6HrmylgKxdX2 iqtrLYpA/FXrOkb6BDZZzS+8X0Xx05coST6K00NTVn73UioGmPCcHFVl4dLG j0f9uUtAKqzxYXYWCyPVuZ4YJ5UCo0HIWyKejeNOEofal5aBz7mdEl6dbGxn fPK3cimD8Pzbf56LcTBmydw6r+Pl0HC3V9jiIQfH6vz7vScrQDz9Su7P9QSe TXqwV8+0EgiTkKtOagTyF3vXlJdUwoElL4T26VHx+Y25+f5V8IKX73mYA4Gy i44lScxWwSdCPk7em0DmXVWW8KVquGZ/Q/5fOIErfIvuWm2vAY+9kzeuIIGz Ik2yxf41MPBsOm66gUBMZ6598KsGtHYEGFf0EOjo1ktlpRYY72deSf0l0Nrg R66vdB2kPPPufydIYvz+qeFLT+vAe4GJzi1xEmWOpMf76tSD985j6u+2kzis 4JtdEV8PiaUiHZK7SCyw5yZEeBqgY/OFvHptElc2eUabmDfAfctbd/KOkbhH 4urqsIIGsGUlpXYYkpisiiYDQo2gcCheRsOURCnnx9eYGo3gZ6L0qs6CxPJr S5lmVxtBGwxzwq+RaK0xGrrTrxGmQ3Sux9qQeNNSU/V2QSNMOj942HeHxJeR Z+8vHGmE9Pb41rP2JOY6zqoRS5sgMCTegv8eiSILMlQVdlM8yRUmQjiReFlA 5UjOpSa4wG7vFnEhcbvi52OePk0wc2mq+RoVxyVe2hDyqQl+lMQt/OVM4os0 t7Th1iZY/abbvZD6fGvJgmEbyp9aZJc5FDmSuOVu7jdZaRo8NkrinbUjcVVV qYbwIRrE7vpz7SY1PiPXUbO1N2gQXmrSvooa/8vADk19Xxo0WbnF/bUkUT8l eeptCg1WlB0Wk6DmX1jPkyhUR4NP8qFP7M+RaNsa8+T5BA20+u4aLqLy99Lw VfE6IToY1rYSjKMkNg57vvu8hQ7+hfT6rv0kJmw97HlBhw4GZ6yspDVIFJ8b yVhoQQf7swG6cQokRh/ZEZh8nw7iWWqz5tIkrlAeitKheKJEeI242UoSBxI3 67emUnxM79MKFCAxz+irgkkZHfSnuVcvniMwfMnO4BPtdAi1u632jU2g6dkj HYZsOizVctxc2UvgK6tHzhe5GBA85egjTyOwY+nE7G0xBujkXF44Vkxg6fJL M24bGVC6In8fVyaB6tvShd6oMkC+yIG0jyXw7nXaQATFw+tYog0H/QickVZR e3uSAWx7x5C7jwg8fbW1NPACxYs5U8vmbAj0qww9/9CKAZvkNASHTP5/7vRC +ykHBhzJOnRC4RCBGa91pcQeUTyWbfO1WYnAi5uIjV+8GMDXoq7YI0HgJvFX g4dfUeN7Yf3i6CICrz7StMkJZFDIM/FIqZ+Dxa5rmnnCKZ6Xrb8bmMXBXyLe OgpvGRAuWdxd7MHBNdpnyB2xDMj1lC76cpqDXxqnVgtQ/HvrxsH1TzZy0GtV 5JIcKlYWNxdaNclGt6uvt6lScdJ7p7hH39h4KkSj5zH1+RdLD4h+8WbjiQ1m 0aFU/6X+wj61hmy0OXz0133q+z+wovVzJNg4W7fIVTaIASu6dnxwGWShId2l 9f/nfgsOKs+s/cDCOwJB+aXU/LJo+oERd1jYpeg+mu3KAEelvVP/qPrm016r ftWe4u+SNG+dXxPofNPLp5HiYV7O5k7bzxMYzHNgBf04Az7r9Pzy3TOBBQVP L1nuZVDnsfn8gz/j+Pg5b3eqAgNi7VV3X8wbR5EsV81T/AzwOLRUnVtpHM8N i+R+mKLDsbrbXpXjTIw7d/ZVRhcdOnj8tvgmMHFxZ+S+Ymp99f0WHl66komK 85Pqlf50yDjY0t1WO4Yt9zlVDk504DOc7X3/ZAzTFrjlFWvRoWFB6Ya746P4 boG/7cI8GlzedNt86NMIem6ZdNrsTwPxCm9VHYsRTHl6rmPMhuLL5a07y0VG UPDMTaauBA2k1khPalgN40m5mI/XrJpggDfbElYM4ciJj1+yvRrAaz+3YNuh fuyZ7cv1XtQAq/pjUlf196HYeM+OtU/rgVsxtiPgQR/+MhZ+ed+uDhSrShtO p/fi3mobF3P5GrgVxcPNtbobN3ZbXOviKgcFPjFLd8NWtFGu8X+uXwaG7/XX Szu2oErOBMiGlMKq9YPOrcHN+P33A1NZ6RK4QJNqSftOR2Xm8wUTooVg9rSF 2H6yETOnm3SVazJgrvvT5mm9YvxF3B7v5ftE+VV89cG1EMv3iAcfdkkDq9BK 7k8Xv2J74voFuipJsGN2gfx3qRzcKajy0+rkayi+8CZ22i0K12ilvSnDJOzn uu6ZZ5QNvUfg0JY7FXiN//Pn01RdYKouPyzvV4nq60a27jNkwNlO3a3PMqvw YtzfNHW5Zpg9Pz63bq4Gr2tNDsk1t4CnYRt/yvFGLNg8OLpDsh0migJu6fE0 49yzE+Gpu3thxvI5Kyi8Gde6LA5bEtkLYau/lGxUbcHiUOzP/NcLJnzMc+yr rTiss3tZAfYBT9ibfbY1bbixgvvZOY0BMLjlXT4S3I3bZBT7Pi0Yhvvyf64I KPXg4kzRHQmnh4G3qHjmd1UPSv1VnIx/NwzOLuf+BDzsxQnNuBdf9Ufg9POS db9T+rCBI8+efz4Kj4sSfu/jGsS0jN79Zq1MsI31K3c/OoiW/IpDRWvHIV6o 4fpd/0GcqX8/w39xHDJShGa1Ng6h/aMHQcr94yCWNrVTef8wbuLtlctvnwC/ 8r1Ne66OYsxeTU3iDRuEsm9s+RM7ir0DtDMaRWxwtBB02N07ii9eSpvcYrMB M6pX7TQZQw/9bs5bHQ48EL56vfAgEzdaBqjND3Mgmn59p6YrE1vjj88e5yNA xc0uQTqXiUNH4qtfrSJgaV/74o2bx5G3foWlzR4Cyi4HnHg/P44xhGm8mwtB 1YVAq22qE3gyMOfGwDMCPs1d6+S+PoENMq5BOUEEaMjqz8fUTaBe+V7/jx8J WE+rMLk6P4H37j3a0lpAwE8LqYu2iizME85Pv1VJwMjBe7MXXrNwfXrORaKL gHvVJTd2IQs7Zvgfto8Q0DdCUzJksTDwiLXDTpKATW1VRbsPs1F3y3qpvdwk 7FIV9eexY+OGa8TMuAAJLWlrmrii2NiWWkUIipIQ7pjFCSDZ+EgvvCFiHQkj Y59FZNdw8G3Ty0VLZUi4q562tm8/B7MN7/H+3EyC53n5svLrHGz1yFqgt42E RUUKZfSXHNR8e15thSIJaKPQyUvVadHqPWMnVEi4w6tFO/edgyqGpRbzO0kY sN18r3GWg97hy9gbNEj4FXnopLIIgbo1fX3Zu0i4WLUgTHADgRsOewZ9+//e 2Wf+AncUCVw8Omy1Zw8JAWLDwf//niw37VCyjYp1gnj2dxsQGDO8VdCfau+w Yivv0AUCb3Y5pN2i+nu2kT5qf5M656b2yxaqk/DvTs2P5/cJTIaBUS9qPIVS amrbKF+XnyzmXK5MQrTA228ngwh0vTd27sEOEuY+8MXPUefix4z6Ve/lSdAU 4yzYlk6gPzhpn6DyEex0/Uf3ZwLfVnXa3JYmwahgXezycgJd7sor81P5HE01 V65tJLDyQLHSWnESfkir0RZ2ENh5b+PSd0tJyOuyyPw6SODIPcIxg9Ln6z5b 4WkWgYGfmpdrUPrdbKxZlTpNoLSST+TuPwScdMta1f+PwBC+wqrPlN5RtAsn A/goX+Sw5kz+KAHJWT+ESxaTuH9Sml+9h4Blu2PDbi4n8fiwVrxqMwHDYtH6 /mtILDv8diajmlo/rVpPVDaQaPB7Lz0DCfiSRHply5I4V73ojHomAeVvNMRC 5Uj0cDqsuTWRAE8XhStdlA9VM51/6x1CAI/GtmI3Zcr37HVLMPEhoMOg577H ThJNncwcw+4ToKl7fGREncSmjKPax20ICEwaskimfGvoTQmwMyPAyePFifLd JCqpJCQv1iNAu/HD+v//18vjmVS4jtpfvTI7D6yi4g6Pwvr4rQTc1slVO0a1 f6xvuCFenIBczSsP2yif9VrUnn8dLwFTgutii9Uo39magFKDHBj/d1+dT5XE ZSw9Ae6vHDBM6G6NU6Tmr7YtuyuAAx1Gt2XDt5EofPBIYK41B+ROb68e30z5 aL4dnm/2cyAq+s+9QMqnSc9U37q7kgNhEDYaLEEiVu7cd4bJhuNaxV2TK6j8 Rvj8PPSVDWOqklKJS0gMKc/1P/CKDb73zjz9ROnTJ3Ni6wlzqv5ky6xu/EGg 58Ot8QnzLDC7r7FygEngdJVE8486FtCf76o+Tvm4nrhHAebhLJh8KnRYropA XutluWEqLOi6KTGxwJ/AGyFtW6ZNJuCXtmghzZ3AgcLz2zylJsDOa9X8nB2B bVblbsdHqfq5/2+m6SkCnw3liL22GwdXD+cH//ss7dL54cNuTIgWKhpqGOJg koSCyU9tJgxeNZEr+sLB89fZydM8THibkp5ZfZmDoUHNwTxPx0D3Z+aWUIrD HvuW1KU9GIUYc4/ihLts/JmguP7yrlG4xWWkb6vFRsHueQ3vnyPQXF2odbKJ heltAsK7bUbgZYDFYiPmBI6YG38PNRwGmTHJbUsGmLi+THNN3uJBWLa2TTI6 hoktpyM7jlUOQN7srLzaRSaulO9LD30yAEovl8U6to7hgrH8S3em+0F+wWCD e8Eo2gWtT7nc0QeNVys3Vp8bxpfVZtOmu3tgCVPySKLgMMVFCy6WveuGiq57 uR/yh3AyI5zgX90NcqVlGlqUD9miqZWmPtMJHL0jWyqLB9Bk2OVKf0Y7RJxz Psr/pxdHL9nGNm5rge2VNT4Nkb14Ztnqv8URzZCb/smCs68Xy4sWnyWFm+FE ssYXX8EejPIyf7qa8uVGWzfsNF7ciYtj17J2ZTVB3ot9Bz92NyOLe7/42XfV 4Ol/0SStvAj7N63MXrk9CzY5SaxslS3EkhN9hoL7MqDK8O7Fh/xfsax9a86l 0x9B8djp6MWuOaif5SXJu+IdKGRfXvYqLxYXxdV/6nwcAFKPiuUXL/gExpM8 8pJTMcjwGoXXx7LgYc2D5zeMEjBhV4zs+6BceBLx2l8iNRmlfmjUycp/AyP2 DrMzB9Px+dP738biyyBm6e22cp4cZM0U/Eo/0QTeLa38vlOFeKH8vJCOJA3u K2er9icW4eX5kycPjNNg6aqGN4VnijEgsSrUzJ0B6cnbuXgySvBgs9wPuQ+t 4Pz7rqb6kXLk1T567CWtC5KPzmwI+VWNZ7lDM6T9u6HadOOmxic1uOH14N6k Uz2w7t9nKXPBWsy/lv5F6VovfPXxlnYTrcPGss1RbEpnTk7Tkbfz9Zis1Dio nzgI3I/tbuxXaMKVhWs+Z/EMwZPgzPWt5k1oTKhMq5sPQX2w1YaWN02oaOqW 67FyGNgyb6xEJ5vwOtkgUH1vBBzFJk88j6QhT+awW2LdCKy7trrbpZSGNyyv +TySHoXnb57Nto7RsPjh9iTxqlEwF32q37+Djisse//ZCzAhzDppr+k7Os6F 50ZVGzNhx0iNX18JFXPPp/6LZQLtp2REXycdk8XrWVPq4zA9ZbvKWJCBvT4X Nqc9Hgd2afqlekkGNvbV9GtUUj5HaefySiUG/o5e+DjDcAJ6pPT0jhgysEzg KT0seAJyVxWcoVsw8HVc1PNDlA/6oFtNH73FQKFa8MxYy4Jr3/ep+7owUKln 77sOUxYkiLss/vqUgaGSzya+hbHAfXDL9OMXDMwnDp42+c4CoaH1CW0BDPxq zzOTtJwNC1LF+6vCGFh5vWsqyYANrFq7Z0ZvGbjoUtQDY282rGrg83oQy0Db U2ONHymfJbSpuedgPAN3mp6HrF9scF/amvSRin8y82UvbOdAn2M+X0kcAxNk uMkPlzhQWhap9uj/e3yevV0XHsiB+arv7qORDJRiu6tvreAA0++jHncoAx9l HW3//16gNWdXc/1/T9BMRMpZYTECsu7flT7ty8CFR+e/fKbOhdc+mgcCnzCQ X7tqLhMIeGXRxRfw/z08jCr+GSMCRK4ZSJ2+ycAa+/7mJzcoHzbYbdxpzsA3 S2QvGT8kINit974Cld8Hk32Zd14T0Ma8Zq93kIFPzbPbGmMJ0Hr7V0VLlYHJ HwKYDlkEtJCGX3lkGGg60857sYyAWJiVil9Kvf/itKEvdc4qXVzxRPovHbnr DXj+DBIQpM8v7D5KR8iM0n8/RUDpRsW5Khod84gPjuFcJOQcfR0x+4WOaQmP y2qXkLCV6+lBiXg62ic2vNBaS8IejVtnFX3p2HJuXo61iYSiguu6mnfpSCiq cHUokXC8aDLgoDEdd8UbPeTTJMG2Iqr0+G46Hv6+dsVtHZLiV7xpto6OJ8vF Dy/XJyE1aaWSwzwN8/9mh/08TfmsoQefI3ppaDetG73sPAkpH/0KWwtpaPxT jLS6TMIjrSsL5aNpSJx5NRR/nYTHouy23sc09C5ZP6d8kwSrfepzDHMaLqqx mV5+lwSvbLmLQvtoGGM+FXHUnoSQ8ei/XpI0tNwlgHRHEmRBuk1/rglrhnuU PzqRkD6b/PtyWxM2JXg19ziTILT58s2a7CacHSB9LrlQ811sf8TbrwnPOU9p aVBxnH92fIxNE+4NOdRrTrVP1HOOWXW4CbvvPrfqvEeCh7nu5ckNTaj3Wr/z vQMJfprvxFT+NOKqofk9tbYkZKxs6e2mNaLGi79B+26TMKzj9ff3+0b0033F xW9N+WLbtOhnTxrxRspIkLQlCQdj1XlfmTTik1kZ59fm1Hykqm6IKjbisopj TSfPkbDppPvS5XyNeHnniQZLQ8pHpj1+qJbbgBo8Qu8bjpEg6ZDkbGzRgN0a Wm+fHyDBpsH/w2vBBlwR8GIqkvKtPQYGaayMenzyPoD9jdKXcORLVuaqx+UC PPsbKP0PNmuNySfV4Wzob92dlG8kN+S/tNKrw5Bd56QXzhDQbbI4vz2gFs0L BrrzKY74vqv9i7NkDb7Mckp6mkLAKsW7e/ywGuXdt6x7F07Aeb/voSrm1biV 954vlxMBJ7SOJ+6JrsJlhg+P8lD7qayAfvKYRCXuyLsqk0bttw+zNTIpnytw RNc+7M4sB8xbV452nq3A3VKRpR1vOcAr+vh+Y0A5brDu02a1saFZVrSKJVSG Wqfull9PYMPG0Ua9gneluCvygt2n22zYLGd9N+pwKaps/vwgYwEbug8+Y3xz L8EHwkVX05ez4FLMEBj/K8Jfyjk/GlomgHuOdSg5sgg36nBONFD178I38/0G WkXI0j6/yX7lBLzljaR9eViIduKeRRF849CzO/hg86JvGKj//dSnXCYcOy2Z Oaz+FSX+2r68d40J3k0ecddvFOC+A9bPtpSMgc25XcTSps9oKrK+9Ln1KIh3 j3nLZ+fi/nghm6hlo5BgXJv/ZzIH1bxcbz/JG4EPV749bFfOwbnR8cX0BSPg Km5vJJ6fhWeP+b1c/nQIVs9e7X3W9wn99Xb7qkkPgYTrWt4+pU+4UnSLlQEO grJ7z9L2px/RtDxewnl6AMJzRoIGrqah+3pDfTWTflglLxI2c+kdepFD0yGc Pojk235IWykZPUI9rq/x6AMcPdlfzZuET6r0Hr1M7QXi8eRW/uJ49J21DH47 1gWrX6hzb/eJxu1qPx2cBbqgQPfQyYY1b/F2/xrb4c2doFulPXtlRyR+39jE lWjeDkEl33I/uoeirN/ZviX328AUnMexJBjdDLUd1AO+w6xOQl7csiB8fElX 8GdxC5zZXxnq2/UGD3QZt0d/b4a1WvsOdZn4Yafyw9ldLAaoD0Xd1qp5hVIR /jcvidFhw15m1swZH6yab/zLL0uDQ4xNvhl1Xrj3l59Zzc4mcOaPqja87IGX nKJEE97Vw62iW5I7OI+x/yM5dL68FsImHnxKrnmIXPeCK1L6qkH1ToybzR9n 1OWbcX83Wwk6FQ5Xea0d0flC2W/r5RXw7uCNrsp1dihQUisuvK0MQs4d3cYn dgedzTI7YrRLwHskKk44yAr/iRSd0DlbBA0zEkKrnl/FgW2669a1f4P5vPIr SfwWuKXx9h157i8QsEC86viqc9go/ezH0JZc2Oi9S25CwRBpf58tf6ifCcHC FjpvE47ic9WkAO3hNIjee+QPv8h+nCu/o8G3PQlex89oTSupYKbfxA29sSjo h5ngmKVSyGuWPbyE+RLGZEaLF4ly4eKYy23F/d2a0aJtWQz+mPz/AJW7QVM= "]]}}, {}, {{{}, {}, {}, {}}, {}}}, Axes->True, AxesOrigin->{0, 0}, CoordinatesToolOptions:>{"DisplayFunction" -> ({ Sqrt[Part[#, 1]^2 + Part[#, 2]^2], Mod[ ArcTan[ Part[#, 1], Part[#, 2]], 2 Pi]}& ), "CopiedValueFunction" -> ({ Sqrt[Part[#, 1]^2 + Part[#, 2]^2], Mod[ ArcTan[ Part[#, 1], Part[#, 2]], 2 Pi]}& )}, DisplayFunction:>Identity, Method->{}, PlotRange->{{Automatic, Automatic}, {Automatic, Automatic}}, PlotRangeClipping->True, PlotRangePadding->Scaled[0.02]]], "Output", CellChangeTimes->{3.662261114001345*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.6622611228298264`*^9, 3.6622611558937144`*^9}}], Cell[BoxData[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJy0vWd8lcUW9h0V27Fi770Air0et04UEXvBghVRQY8FC4q9oCJiQwRUbMcG KlYEBJHoxIJYUBEUpAZClRpCSAIJ5OVk1n/2M1fO/XCeD+/+sn/XPWtm1qxZ s2bNmrnn3vPqW1p3WLegoKDfzgUF//kvGdpx8tCOC3xB+BW/sM9pvfY5rTTi l+vx2Ijtrwj8ZEh34B4hf8QTQvkRU9+U+v8aT31g6gNTH5j6wNQHpj5wn/r0 cv/5f+DkSk/9YOoHUz+Y+sHUD6Z+MPWDe4b6I+YfvvQf/sDwB4Y/MPyB4Q8M f2D4A8MfeEjgz6XlN+w3laPyDdZ/2gOmPakeFheBaQ+Y9oBpD5j2gGkP+K/A vxO9L8waB6qnqjfaT9pO/ae96TgrLgLTXjDtBdNeMO0F014w7ZVxXZg1znUc 6rhQPdR+1HbqP+0F014w7QXTXjDtBdNeMO0Vu1WYZcfUzui413Gmeqr9qO3U /9ReFhel9rK4KLWXxUW0F0x7wbQ3raegUHCx2k21Y2o3dNypXmq/abvA+k97 wbQXTHvBtBdMe2XeKcyah3SeULutdlLtjI5D1VPtR22n/tNeMO0F014w7ZV5 tTBrntV5UOclnQfUjqqd0XGoeqr9qO3Uf9oLpr1g2it+Q2HWvKrzmM4DaifV jug4Uz3UftJ26D/tyZpXdV5Su612Tce9jgvVG5Wr8qXzoM4TakfVzug4VD3V ftR5VuchtdNqx3Sc6zhQPfmivp1z/M3/+Ru6ys+sT58c8Vv1+b+J+JGAHXhc oI94UCgv4nXrqynzp/f6T8YVnvrA1AemPjD1gakPTH3g/f5D3qsi/lM/mPrB 1A+mfjD1g6kfTP1g+NB6wfoPP2D4AcMPGH7A8AOGHzD9oHJXOSgfYP2HPzD8 geEPDH/g2rr//JZEvFeoP+JTAn8R3xT4d1l6qnqk/apy1XboP+0B0x4w7QEj bzDtA9M+MO0D076scafjQvVU9UT7Rdul/7QPTPvAtA9M+8C0D0z7wLQvy47o ONdxp3qveqb9pO3Sf9oHpn1g2gemfWDaB6Z9WXZR7ZbaER3HOm5U77SftF36 T/vAtA9M+8C0D0z7suy82mG1i2qXdNyonmm/aDv0n/aAaQ+Y9oBpD1jtko5j 1XvVE5Wr8qX/8AeGvyy7qHZEx53qqfarykX50H+1w2q3dJzruFA90n7Qdqud V7uodkTHneqp9jP+lM6D+P3Ux7oA/0rnGejhB3ow6fBHOv6Y2j3o4R96MOm0 B4z8GHe0T/0OjbvovK9xCp1HSad9uu5Vu006/IPhHwz/2An8ffXbNC6mfpTG kdSP0biL+gWk0z5dx+s8RDrtA9M+MP2s8T71gzX+p/6ixgHVb9S4mfptGmdS P0jjMupHaBxD52HSkQdY7Sp2hfyMezB6rXqp/qrGD9V/1Xii+rMaV1S/VuNw 6idq3Er9LI3zqJ+icRGd5zWOQDry1HU56axTwawjs+wc+qnxPR336l9rPFP9 bY1vqv+t8U71xzUOqH6rxs3U79M4k/pNGpdRP0TjHOoHaJxB52WNA+i8qet2 nec0npw1z6hdVjuG/HV9gFyRv64XSIcPXT+Qzr+uI3hO/6gfTjr9o34s6fSP +oWk0z/ql5FO/5BOf4g8C7PmbcaHxkd1ntP1i8aDdT2j8WFd32i8WNc7Gj/W 9Y/Gk3U9pHFlXRdpHJbn9If65Rr3U79Y427qp2pcTP1IjWOp36fx+Sw/Sv0S ncd1HkP+uh5TO6HrM41v63pN5apxbl23aVxY10EaZ9V1iMY5dV2gcUj12zVu mOWXqp+nfpH6BchX/QSNn+t6UePpun7U+LquJzXerutLjbvrOlPj2LrO0ziy rrs0zqvrItLRbzD2Rf1mXS9qvF7Xsxq/1/WtxvN1vavxfV3/arxf18Ma99d1 scbddZ1KOvYyy69Uvwh56Hpa5wndL9D1te4f6Hpb9xN0/a37C7oez/Lj4F/X 4zqv6X6Drs91/0HX67ofoet35UfX6zqvguFH1+9qV8A6DpCP2hndF9L1j+5f Ug50qh8aB1Y7r/MnzzvV87nI71vfn7UevE59PdW+Sf3zWRFPrc+3LP5DD4Ye nFWu5gPrP+WBB9XzPyiTT+VDy9H/r+rFMD5iygf/XF/ezw5cXd8PJS6rHP2H HnxyvV7+HXGrerw04hvr+V0e8bP1/KyMOHTb6ohVLtoO/YcfMPyA4SdLDtCD oQfDPxj+wfCfJVeVm/Kt//ADhh8w/IDhJ6tfVC7abq1X/6kfTP1g6s/SA+0H lbO2U+vVf+rP0jPtN5WbtkPLVT3Vfle5qxxUr1VPSB8WsF8Q0iOGHvxxoI/4 zFCf7x3q843q7cX0iClf07Er1Ec69YGpD3xGkI+/Jcgn1g+mfDD1azp2jPpJ p34w9YP5hw/9hx8w4w9M/WD403TsDvyRjv6COwXswPCv6ZRHe0hHripHbUdW u3jOP/yDaZ+mk5/2kU77wKTH+cbaQzrtBZMOPe0lnfECJh169Hptepul51l6 lqWXWf2epSdZcsySO8/5R75g5BvnO5Mf6cgHjPzAe4T6I8b+aHqWnUF+Og5V 77PGQZaeZOkVfJCucqH9YPiHnvaBSdd5hfQbQn/GdOw66dhpMHY5yw6rnVS7 lTXus+xE1rjJGmdRT0VOsT75R1/A6BPlIT/SkS+YdOiRJ+nIG6zzlM4jateR h9oJtQtZdmRt4wS+SVe58Jx/2gtGHpqufgrpyEf9DNInBnvUwG8gfVX986qY jj5q+3RcZ9mBrHGSNa6y+j1LT7LkkiVHnvOPvMDIE4y8wMhH20M5tEf1Mktv 4Zd0+FU+svjkOf/wC4ZfcIgr1DrlV/1TyoEf0lUuWq/+q52jfPiifNJVztoO tZPkB2s70U+LHxSjT2DW89gFMHaBeAWY+AQYeuwC9GDowcQFwOglmPZjd4gz 6Dyv+2SkE39QOw498tI4NvRg6sGewofKCftKusoFetJpp8pZ26ly1f07XcdC j/zAyFfTdb9N9UT9De1X3dfFDsT4sWHqh55xC0a+9BvyBKveIU/SVc+g13Qw /ECPPEiHP43D6bjR+VD3RzSOo3qlegcfOi6g133brH5H33X/ROcF3U/hOfXy HHmAsYO6b6x6pv0OzuoHrRdM+ao34Kx+U77BlEc7yK/tAkOPfYYeTDr2l3GD 3kCv9pp08uu6AD0jv/p1pJNfx43aJR03apd03GStc9FvtUtZ6y7sgJ7/yPKr dRygt+RHL+ALTDrxYPgAq1xJZz2rGHrWr6Rr3IT1hcZLSYcvXa/GfTyTD/nB 5Ec+pINJZ3yr36njRvVe9Vr1GKzrZP1HH8H0l/Kn4wJM/9AusOo56fSPYujp H9LBcf1h/UO6xoXoL+yo+hUaJ4h6YFj7CUz59C/pYF0XUp6um0jXfz2fAL3a XbWbagfVzqEPev5C+x1Me9UPAMOvrg91nqI8noNJ57mua9Av6NFjned1/abr AbCuu3WdSX7198Hk1/UEmPzq34PJr+sFMPnx98mf4f9HP4Z0ygOLnxPfr+Lc D+OBcWrDsyiee7f+1vR4Dt7SGbf0I+n0L+nkj+fmLT/jmvykk1/T2deM8Rgb 9/BNO9kH1ffK9By2ykXbqXyD2ddWem2H8q3vj8In/cG41nqQF+Oc/PrekLYT u4sdoT/T82b592KRA+Mq7stafvoT+eOf6DkOxjPplEd+2oP/QvmK6X/qI536 kDP1kU59mh9/iHTF6BNyQY74bfQTdgNMP7FfD6afOGdAOph0xq2Wz7yNXoCx O2D0AoxdATMfaPyefqA8MPyhh+gZOEsv1taPYOoDwz8Y/sHIB4xeqV5oP4PR a30/mnFAe1RPweg1ekd7SEcPSc/SKzDyTM/Z1DaY/+CP+VvjKqonWXqT6llF zE8/qN7it6teZemd6tHa+lnHBfzQ7zpO4Ef1OEvP0dN4vsf4U70Cp+O4toHe k1/1EEw/6vs59GPWOgYM/2DWx2vzq8Gsl8HoPZj1MBg9ZVygN6SD17auAhMv AMO/Yt3nUb8fTHsUk5/2kA7WfUld54HhFwx/a1t3gOEHTP2Kdd9T15Vg+AHD z9rWOWD4Aeu5raj3hvW9McZXVpwA/nQdqXqrWPVC5a7t1no0DkE69bMu0HUL 8oKe9Fifjd+sdaCuO5An9GBdZ+g6hPqww2BdN4BJz9rXIF3XDWAtP2sdAVY7 qvRqp7CDWX6cjiPSVa+z4iTgrHU1GPlQHu0F67xE+xSn75nWNrDzaofXZpfU Lui4BCN3jQOp3mbpMfR6XlPjDllxiKx1u66TFcN/1rqYdF1n0x+kZ62Ltfys dS1Yy1N6nSd1Xar+o9px9SfVrur5QLULGkfTdI2XkK79pHEU6HTflefID4x8 0vcjamN+sO5naFxW9wd0HKqe6H6v7g+Qjh+CX0L//K92VO2A6pHKRedFysuy s2pXwKq3WXqu/cC8yzwMP2qXwel7eLUN7Fb63lHDftV9WfSVfmVc6fub5GP8 MB/SP2DGC5j2aHwcTH36vqTO62rndD7iOfyA4QcMP/p+mfoB8b0a41ftK/Tq d6DXeh8Y+kt+MOnoI+lg0tEX0sHp+x618j5HbbR3GlcCB3Va7bLigPE9BJnv SY/vP1k68iY9vh9k6YwLLV/tsd6/lhUHZPxoHJD0rHYSx2EcgPW9CewQmP5l HoAePpCvrpvB9Ct8sE4lXdehyifxDo1zgeEzqx3wSTr16vkcjUMgP/RN/Xod h1l2QscpcQbiJrwvBIYv3d/UcZ1ld3TcUx96Rf/Qn3Fdb/S678e/2gldP+i4 13Gu41bnGU1XuWetq3Udq3ZX7ZrOYzoPqJ2mfWrH1G6pnVK7pHqStY7XdbSu a3XfSOMW6FGWnqEHpKMHen5A50/qZTwiT8YzWONOjCOwxpVoXzw/aJj2IA/k HN9PtfyMa9pFPtrFc+goj3FGuRpHpR6JSxaTrnZc713U8vQexvS9/YJi7B/1 4gdRD5h6wJQL1n1v5h0weqjnXPX+BNLhF8z8Bua9QS1P5zvGEfyD4R9MPjDl 6b2apMMfGP40v96LSL/SD5QDvWLKBdNu+o1ydVzG+L7pNeMF3LKefoY7sJ7+ j4jH1tO9FXFZfb2/xXlJ45zUS7qOpyw+9JywlsP41/eFNO5FOnIHUz6Y8iO9 8YNdIX/Els54ynoOzuITrHYtq520i/SsdirfsX8Nk/9/lQt2Cwy/+p4Zdo76 9Byx7ispnfphWXJROWi7lE/ys64Fq10DUx44tR8FxfCr/c6+FOUpVrsDpjz0 RucZymfepDzFasfAsV1Wjsoh8iXt0Hr1PSLslNp96idd7aqu+1VO2i6th3+9 T0nfI9H7kkjXuB/9q/dupPNVQbGWr/cN8Rw6ve9G05lXNA7Ov953o+nkj3FN mV/0vhvSaR8YPyQtN39OIUtuug4nnfr13jmd13Ve1vd69D4TLVfn0fj+sbUv a96kvVnzKH6ozqtg/EmxC4Xqp+l5Y9Ur9Ru0X7LaBX/YCfijPvgjHf9Wz4Gs ze5oup57UD9H9ShL7ox73b9WPymrX9L3MfIYeuya+oFgys/qV8pTrOXR7zJu or+F3MmPXoCxu7HdJpfIp2Hsh74fpveTkX5uff0TzR7P9NfWlzPV3Vb/Pzs+ hw5/rqb++QgPHfl4Hunq65nrSA/rsPkRh34pizjIYWnEQa7LIw56UhlxrPf/ p3ruDNjmxSoPDvNlZcShf8ojvjWUH3HwsxdGHNbt86PcwIVBzg65//9VL3hs PX7LnxX6y9N/4BEBO3DrQB/lskt9+X/EdOROerBLM6OeQZdVL/moR/ngn3T+ eY7egZEvdMgVOWs/UB/tIh/pWg/to7ywLlsY6cN4LY84jNeqiJEL5dB+5Ei5 pJPvf62H9gwKdieOSzD2h3zYbTB+uI63/zUf60LlA8y6EPxOfTu+j5j/jert 2JiIvw90sT2kgzWduCDl85x/+ht7id+LvVas52XBtD/4pdURM47Jr+dlwdAH PzGPGefQ40dGvaxPXxwx4x6+aRfzqs5LGnfX87ZZcon+v7QLzLybJTeVg54T Vr61XNLhk/mcdtEO2iXxjgbnRNFr0vGjdN2r56+0/7HTGtckHTtNPbp+T+9H rYvzbJRnKNerHPBDSAen7/csjHaGeRCMHQHrPIhdAcf6rF/ivmjS36uiPWcc gBknYPQczDgAww+YeRuM3FXOYPpN1+m6r6T3x2s/qr+s/r3GoShvcuhPd33o zyjHrH5J95Mb9vva+m1teqH9Sr9l9SvtBK/t3Cvlh+Ta2A/oBVjTNS5Iv5HO vgOYdQhYz8sxvrLmETB8wDfPmcfC/kiN0/SseYz5RTH7M2uTQ9Y8srZ5Ym3z Avh/nTd1ngQjDx1f+l45/YDcNB8Yuej8Dx+MH+whesD4Rw/A+CFg8mk52FnG JRi/hrim0vEcOp5TPutW3QfCjtAuba+eG/5/1ft0HiqP/EGf3lvIflpZ9COD Xubj0qxHZX4t1rgX9gKMHmhckfUs/BA3gF+NI+i+F3TIg36gXDDp8E05ur+W 9m++nYx71g1g/c6W+h2Ks+LGuq5iXIE1DkF5Kud0n25mXL/AJ1j3acCsL/iH XvsReSrW79Vp3AKs+5bEMzTuTzrtj/eXmP6Qj/LYt9ZzGRongW/S4RtMusZ7 dF4HE6dOz+0sjPMIz6FDXvr9A+0P9qvHBj1osI8GZh+EdiAP4mnIE0y63gdL Oaw7Q/rKaK+Zp/TeDdKD3V8RMfMWcVmlx76AdR7T9FBeWcQ6r2n6evXlzYtY 41Sk0y7o4DP9fkD1WvleG59r4wusfiFxLfDgUF7E2G3w6nr6ZeKfLxf66ojp 9/RcaN4vDPqSn7eRT/q9pRUN+k37ReUOpr1g2gemPWkcr1riDqsiXpsctd61 yVX5WpuclW/mWewZ5ZCOH0+69hP9Qj+pHCgf+0X52s8qJzD2UudJ1j06j+o8 y3pd7w/Gv2Eez5rnodN5OWuepj7SqVe/X6PzvX53SP0jMHY59UurMucN1kmk 0486z6X3hef9LMrTeSz9DtXySE95Ok+iR/Q/6znqA+u+D/YJO4c94590MHT6 HIyepufEV0icMq/HpDPvkE/1nXzQkY/+wi4Rz9X5KPT7yhgfJ07AP8/139yf IvQQvwy7Rjp+Bun4AWDkA5/p95ca8g2mfPSZ8rCjpBPXIh0/EMw8Q33pury4 aFDwJyM9fge4pr68EXE8kg85qVzA6XvZxUXIgfTUT+b7L/MbtDOV66xIT7tI px2kwzfpabyC77nMjP428wI49ffWlGfzCOn4paQTxyGd8Qj+7/cElMX0tJxZ DfgiHb5IZ1zE/jI+oYdP5Yt0+CKd+BNY7Qjt5NxM6kfXxHT+yZd+f6A2zk/M C2D0DIyeYA90PLCO6hT6v8E+Tta6iPcASP9f+dD9LV1H6b3jWe2Af133UQ7t IZ1yKFfbnd43UlzE/hLlpvcAFRcR/yGd+A84vY+kuIg4FunpPUHFRbpvxv6V thN+kbu+B0r7Gc8aN9P9N+WDdVc6rvIYvx96jSNlxanTONvKzHWwrpP1HgLm AcYt5YGZB+APvUz5Xx7TNe6VFUfXdbK+p6/rPpUbfFAv86fyBcY/gR4/hnT8 YDD8QY/dSO1QteD8e//Yn9TernKpXFbKemWFVzsP38on6RpXzNqXUDkz7+Pf MN8hd7Cuw0hP29lQLum8UttADuhfem/Gwjg+wHruQOOOaic1Dql2U9/b07iJ 1qPlajnqv2A3aC/2GIwdhB47qHaPeTJdN+X3x3Sdhh6kce0qp/xht6iPOA4Y uwo99kztKHJXOYOxv2oXwbQPetqj6510nVnbYH2t5aTnlqoa7GdlyVH5QC/S 96oWNth3zJK7tiO9H6U2lqf7OPqePfOSziOMW8plnDJu9V4l7Liei6Fc6k2/ p9owzqxxaNV35nH1q0hHL/QeEe1nfc8EvtgXJR+YfmXcgllnow/IfWjI16C9 8El7s8Yx8dKsccT5NjBxVHCIp4yzfpsR05EP/On7d+l3iBbGdmE3ea7rVI27 4lfzr3Fs5hHSNY6bPs+fg0PPdN3LvKVxIY1DaTwLvdZz4OiHygP/iHEARk/0 O9e6P5ueyyxvsN4AYyeQC3yn+Soi5p/5GP4pV/fxqYf+RU6qx/iP/Ou+qtoF /A70UNfN0GncQNf1Y8N/xLru03Ub/7qexD7jF+h6Tddx0GF3OJ/CvMo6nHgl mHRth66/KI95jvzEg8CkUx754CurXjDjHbvCeQXys86GHqz3PJNO/bRD+dR2 wA/p8T4V4yOrXuVL+1O/Gwk/5KM+sN47TXq8r8XKycqn5er9BPClfg//rBuw R+g9WONAum7QdQH6qvdSoL+MU/JRn97jQHnqHyIX5gm9d5F6sXPMI2rnqJfx pH6/rgMZz8iLdmo5ajd0nky/V1vbQC5g5hnmf+bx9D2oqmjn8bPwQ7HL2Ol0 niuP8xaYdPolXYdWRrmovdbvT1Av9pryaQ92n/lC4/T6PjHtwt/WcxyUi9+F f52+hzoz+hthPJXG8tAT+pX+ozz067x6fn6P/oq2G0z7kCfzGPLWfQfdT9D+ YL5Uvw77xXs1+G8j6v9HRNypPn1Qg3v+odP4Fhh7iX0GY1eIa2IH1W4SL8Yu 6bzCP+WAdR6Ab/iAbzB8Y9+gxx+FHqzywL5AR79DB4Ye+wM9dgh6MPqCvhGP Qb/QP/CD9fiXqF/UC4ae/TP0lTg+GDtHfj1fxjkK+Av6MD3KE3rGDxj6T+rr mxbHc/q+YlUcT9gN/a5Her6vuAiMXQQTV9RzGeTDHqbzWD7OBh9g8uv736Rj t9J5rrLBeiW9pzK/LtB1BPWn9nJGLKcedqyLfiPjpZ7N01bH8QVGf+hvnpPv uYAzy8GOYJc1X/p+TU30t3U9QZwu3c+rjPR6DoN+AWu/oM9gff8TfWD86Tkt fZ+T59Dp+5yaD8y/vr/Jc+pXfdL3NUnHjoGZF5Q/LRdM+fo+pu5X6PuWmi+N z+fjDOhtuq+bX8dy7krjTTpuaCf9ruczdFwhhzSemv/etZ6T0e9NDzV/Dr9A zxNoHIT6sEP6HWjK2bAe/2XvZ8yK/zyvqqeb4Hgeyp3ZIB90pIOh0+dgXbch r/Te9IJC6HgOHX6T6jPPyWflFKf3Z8+Pz1lPpPucBYUad6Jc/DD8G9bTzFd6 LxF+jt4jRDmUSzkaX2EcCH/F6X7Q2s+VkC89d1zTwK6tzY5pfE/fE9ZxoHqv eg5mnqZc+Nf7R/Tc1v86rkUfCpkHmC/45zl6wrlr5i0w/9Axv2Xlo1+xF5ov Pee3QvbT8v2i44B+gi6Ni1U0OAeo8wb9qvMc+TUfmH+934DnyF/vK9D3F/Bv 0COdL9L1Y3GR7lfre+fUix1M48wV8t7tigb2XucxnUf0/Xb6E39U42Cqnzov qr5m8Ykc9X1Rfb86fV9iiunZHM8/z8M8Os7iBDM8/zzHb+M5/hzpuo+ZnrvU 9wnz98ypnq8tn/ZP+p2OaMcLGWfYOf6h0/eW9D0kLSfdn2mYD7kgJ+SCnNgH x49lHcxz1g+cW1K/EzrSO9eX+6eNs1Ib59P9VvX0vSI/r9SX+0HkA8y6B3rK 6RDKdZTP+o1/0uEP+aRyrY5+vcbV2PfRc+r4K5ST3oM3Q+KkpQ3OiafnyfP7 HKw/oCOfniNGr8B6Tnxt+ZSOfqJf6Xftx/S9l+oGfOr7zrpfDx/YDz0fqPdC aTxTzy9pfHxQ/X/+O+tablY55ANrnFjPjem5MD0H9v+aL72HcmGDc2KMA8YJ 44BxhJ4zLtA7xgX0jCMdZ1lxW22P7uum95jObzDOtL/1PI6eb+a5niP57+c2 ahvwp/nS72/Mj/q+tnKRv7Y3K06P/JG7xnnTOH1t5rhI7VB+351+pT/1HAp0 9ep02ur4HIxfCB0YOuZ95EU+6IMfUGHz+bKYj3KC/Ztk8e7ZNp9PcmD+oQvj YnZmPqXjn3T+ea7t1nayTsV+hf2HKpNrPk6OnZtUjxmX5Q4cyqly5AvjpyrK LY3DlMVysafYe/iArxDv+8P453taleZnLrL9aOaH5XFflXmZ8YO/TPv1nDR+ BeMkPZfMd9Pme7UzOs6wG6RTrp7Loz/Yr0nPteb3SfUcQHp+pSbOM/XVrllv BHlW2Tp+ocW5x5p/NcOJPxXvM9D7fFknMx+iR8RpSMefY5yC9X5CnnOegP6g Xvhg/4i4XvAXpkQ/l/Gv9yzAN3TkC+2d48CsB6EfX/8/N6aHx6tjusYVqQ85 IBd9H4n0aaH86J/DD1j5VLr4PYrQ3rhvTjuwl/jPnBNgvPFc963IhxypB/6p Bzkgl3SdlLfD7Fum7xHk3zNm3Uz96Ad8YgeQZ/r+Qv48BOsL0hmv6Bf7cegX /hgYPvS98TS+nH9/JL2XYGGcx+GbdtAurRe7Bl/Ih3qpR9ctjOd0HloV6ZFD +r3BvP9OeeRHjrpvrPva5Nd5kXy0Q9/r0XO3ner/B0U7qv0UvzNn+oQdSN8z yN8XSz7mBeRM/AWMnjL+aAd6iFz1Xoj0fo5VDfgAwwd8KR/UCx9ab7o/URft IPOC7oPp81B/pen/4jjOVK/AWi/22KalIj1HhH0G63fUsC+k007SkTfptFPP BSJP5jXGE/8aV4OOdmk52m6dR9Bz5KjzEONI4z5pet6PIK6B/NSv0HNuKV/5 epET8mPc8JxxDF+MQ9oNnyo/3SfTuJbOE2ovsvyS9FzdysiHzktqN5FLlh8D ZvxQDvNhKGdePOc1op5uRFz3Ta+n9xG/UF/M0Li/zX4ndPhp0IHT989XxflI n6f36uTfZ+Zf/QboGAfqN1Bu6ifn761XPU3Ha/6+F/RUy1H90ftcdN7U9481 rs74ot/Rb8rXcUc+pSOOyjzBeot9Ez0HxHPo0vs/9D3EGC8s1Of6HqiePydf ej6X++/nRb8tpM+L/h3rjvR97LIG5+JpP8+hpx4d/2DygdP3K2qiX6R+FH4r fgLpxMHBpEOv+ybYe10PwQ/jCEx+ygXrPmi6D1Mj55/1XEJ5g/PN6XnoZfGf fRA9P5y+J5M/58u6NjzPf9eZ9mxV/5+Py0Z/xzDpKgcwfiF8qVxTPVsYz6uk 50zHxPUc/gDrYTDjgvmBdOrVczt6box9J8Yd8Sj6gXV6ep4wH/9mnFIOmHLS /a1yeY86j5En/4xX5Mr8Aa7PtsbfAVN/em9Qlez7VcVxoN+VRi7pPFbZ4Hwj 9OhjOo/mMfInXxpHqpT1fmWMk4LhW99/TfHMeK5b732J8Yng+MZzhZwrgx4M /YlBD2M5WfWQL6tcPWdE/IZ/PXfH+lPjAayrOW+n624wdhl6nmfVAx31QKdx AzB0xBH0XGjolyWOOKHML8XQ45czT+OfMh7S87Plcd2V7kNUxH/mTfwBxhM4 vf+iYTlg5gU9b6D7a7rvQrtoB+1K18cVDfbp0vs18uvL9Ltf8+N+KJj94nCO 4G/H+b4sOjB05CM+ybhP7wvJ3++QRYf9QN7Y46BXS+P+OHaf/XGwD/zYOdW/ 4zko0uEfDP/Q8zyrHuioBznofcvQIxfoKS+LL8qHr6xywZRLPdibnesn6g/i +VWex31tew4d6W3r/3+J9PocPwD+wel3i6oj/8wP0IPTe1urIj36Cj0Y+qAX yyI94wx6vZc3jNc8PeMn3kttONWLxZGe+QR6MPT4BdAzzvHT8I9oBzhdn5TF eTK9Ty+PocfuY4eYD8CkM47S+sriuOM5dpg4DvEK4jSsc5ET/gMY/dD5MZ67 NjqNQ1GPlosdDNNE3k8O5i0fp9Hv8JDOeiLY3fx3lvFb8UfB+DnEWcDYbfiJ 99BaeRoH0v3IrLiQ7gtoucpnFl9g3XdEbmCNk4Lxi4L+1Mb4AHxo3ErrUT9S 36+jnvT+P+IU8zz1Igf4pn4w9Wu7Jge5NFgnpf2ZP79Mf4RxUhP9eeZj7Tfy 4R+iv/ihWX5q+v5LZaafzXyd3su4soEfTfl6fzUYvtLvwTX0g9VPTu9tzH8/ TN/DAOMX4qdpXAkc4sB5v4Dn5OM5dMxf7HuSDuYfOuwM77WAiWvhlzPPxXnQ sNabVQ44rkszylW+KZd6sIPUA6Ye1gWUyzwLJh/vbZAvvp9idKxzwbxHwjpC 32PS90r0vSbycw8C5YAp55j6fD9GPyHdH5kV50HOmTKOwdCRj+fkY38tqxzy EycjHTtJfjDp+l1Y8nOOFnr2NcCkkz/df1sh+22zGtSrfFGO3nvMPAeGPpRf F/dpQ715rPfIwU9qF6uifqfvzRcXsf+9VX16r+ifgfGvyA8mf/AvyiM9/hcY +0N+MPmDP1QZ4xVhHbjcpfysiv2m/aL9hnxJ130KvTcdPYMerPeo673S2Ekw 9NZfcT/61NBfEad+1IrIB3xl8aF8whd8ICfGeZYdybIban/UbsX36Iwuy46R H7tBfjD029S3+7uIsStBv/LrCfQTHObBiojRP/D0+vqXRMy5DjD9pft9Mt7i eWH6D5yVDwxdVjlZ4zw9R5897ulv6NGP9Jx91MOIyQ9dVjlZ+cBZeg+W+huM g3RfuyKef6V/iFuA8VM0nXVQVlxV4666rgLDB+uy9H2UshjfDuVUNIgTE8eg XI0b6Xsx6f0s+fhveq9reYN7X/U8lPqF6T5jWTxfh73V+7uz/MJ03VAV4/zw zT6XvqecdU9K1r4PmH/o+MfPDOWWxf2JlI8VLu2narnntTqm0x76Iyvunt5D XyVxwRUNzqmzvgWTTr8xH2K3Qrm8z1sen0OX8tMwzq96Qn1p/C+PSUev9V5h 5VvbRTu0nqx60/uHy2IclPGrcXo9p65xevqNdN0nzLrnmXT0JD0fXZ2pN6ne l8V9LewA8wvzFJh+zHoOJq7JuUz+eY5e8I+fxLyKX8Q5XjDvIY7dJ/hZ/JMf DD3rGzDrG/QNer2HF77IB99g1g3Qc46ZdN57BHMONjxfEP95zvs8tJ/3S2g/ WL+zQDp8wBf1ZvGFv0T7wZSD/0Q+/Ccw9ZM//Y5DcRH8Qs95b3DrkM+pH6/3 JGKvsvbldN+OcRz4qBX9qI3tC/XWxPbUV3dabcTMN+QHkx99hp54PpjxTX4w +el36DkXDWa8kl/vXQzjtTrSh/kjjzl/QX4w+cP57FWyf1rboH+yzhnovud/ /85pVYNz/WD44r0f+ALDB+9bgTnPT378dfKDocd/B+O/428zDvGf6RfGIe8p Mc7gh3EIJh3+s8YVGH6yxlnWuAJDnzXOsOvMW9j9LD+Q+SuMg/z5Dr0/Dz6y 7DJY5aD9nNWvYPoxq5+z+hWs3xFP39PN3yuEvdD3FtBfvTeI+ZX1O/Tof3ov TqVL34soa3AuBZzS5dOxh+THb6E/waTTHuJ3zNNg9rHS+y5Wxf4HMx6CvPI4 lFcb6bLKgY589CP9lzUvq/1K3//L3yuL/WL8Yr/AWfnA0GWVAx+Mc713iXlV 711S+0U8EXtNP2Cvwen57VVxfgPDH/0BRs7oJ/JP74GZGe0EfGJH9P0r5EM5 YPoR+fA8Kx9y1Xxg5IM8wfBNu7PkkiUHcNh/+T2eh0rPKeT1Ej9Av5NAOvsq jGvsh97zwL4jfiTtwm7qPMFz2qt+Hv1GOv1Euu6rwCftZ3zpuR7KwX7qOR7S idsid30Ph3UP+3/6Hg/pxAfS76Ysj/pCPeD0vZOyBvdpgkknvqjvuRA/pFx9 T4Y4Nvub1AsmfoWceU4cE0y50On7N9CDoddz0vreOJh2wa++nwOGX8pl/sD+ UC77/eD0O5tLYzqY9PR97NIoZ+jB0MMH6WDSoaf9YPx+6qEdWXxru5RvcHru OP/dnvQ7KKWxnzmfktqD6fJ+YGn0H6DHPqTf4auK9PhbafnlUn55pCd+AT32 BXow9MS5oGd/FPr//j5+aeQzqx3wDT18ZrUDvqGHz6x2wDf08JnVDuJ86Anr EfQAjB5gr9P5uFz0szzSp/GY0uj/QQ9Oz42VxvhjFh9g6OEriw8w9PCVxYfe X848A8aOEH/kPWLOL6brnknx3if2zemP9Lv2pXL/0Ez5DuysGA+lPvbd03lw UlxHKN/pPDo58gWfyEPv303vbyyN91Qxv1I+djr97snsGNdN79mcHO+5ov6s dqffkZkd5ZDGeSbHdiMH/e6L8glf8AlfqZ86KfLJc/ihHDDlwF/qN06OcSP4 S+9ralgu5VAu5aR+zaRYbpZepfdrlsb7x+jXrH6nn+l36CgPuvReztJ4bxnp 2Mmsc4F6blDPAabxqdK43s46B6jnBPXcH5jysJtZ5/70XKCe8wNTHnYbeux0 ek5xabS/9BN2jX4EY6+Zx6FnXoZev0OOXYQeOwg9GPo0vlQa10PQg6FP748o jf5bKveVsd3IBXrkkCUn+EBOWXJJ368tjXLKkgsYeuSUJRcw/g9+Fv5Per6t NMoxS25pXK80+p9p/Sul/pWRnvON+h309PvOtVHO0CNn1h/pOdhVcn9qbUwH Uw588DyLD94jTeVSE9sJhp7y4Vv5Ur6pL4tv7FKW3cJOYbfgN/UTahp8P131 k3xZ7UrPWebrySoXjD2mXDD1Yp+x6/jh6TmPFQ2+P6blpN/bqY3nX8B6f3W6 L1wu+8Ll0V6m39PK3zPA+hN5cA4ntf91Yv/r5P2y0ng+IfW36+Tcf2k8Dwbd 5EAX+wcc6l8U4wDMw9ybyrxbU/8/IuopGDry8Zx8pOPXkI4fA4Zv7meFfkRI b3CPN/SD6v8HRf9ubD1+q8H3l9SPha8sPsCUSz2Uk1UP/EMPv9CDoYeOfFl0 YOQMPXImHX+JcvGvKDd9XyhfP/my6MCMM/QWnK5T5jV4X0bpwNCRj3NQWeek eM73sHgOxq6xP4J8SEd/wewjIgfGLXLQ7/ARV4cePw56MPSce4EePw16MPSc J4EeuwE9GHrsEM95X4N9edqZJbesc6xg6LPkmBXXAtPP+EX6Hhl0WXE18uGH 4DdkxbX0XoesOBpY741AzvreBhh7mu53TI+YdOYh0sGkoyekg0lHL0gHp/nL JH9ZTGc+Il39eejT9UhZg3ZoO5VPbYfyqe1QPrUd8JnVDuZp0sGp/1UW08Gk cx6GdHCav1ryV8f09D650ugHQw9O1y+rYnq6L5LXC/oFrP2S1W+0n3Qw6bSP dHAaB62WOGl1TIdf0sHp+14N+0H7SftB46/Kt+bXflpbu/S7Yrre0X5dmxxU L7Qf1yanuJ+QzANlMm+UybxRFucN9pmgx6+EHkw644Z0MOVhL6HX73WDSU/v xc5/15ry8Kegx3+CHky7yUc7s+QA31ntQi6Up+dE9Dvl8Z5po9d2qhxoZ5Yc aDfl0c4sOTD/QM9+E/T6HW3mp1ieYdLZx6M84gLQp99PLS5iXwh6xgf0+t1t xinp4NgeK4d2ZbUDDD18Q5/eI1hcBM5qN5jyaFdWO8DQs46DnvgI9OCsdus8 g95gD8DYAzD2AJy+Vzsv5ssqFzreq0IO0IP/Vz6y8oGpB/+cdTNy0e/W4h+S DiYdv5J0/a4s8QrSwapvvM8IXUjPn9MDQ4+fD/1/9+vz6wDO/0Cv7wWBoWdd kNoxXQdUi92rEH6WCz/LIz3nBaDX94z0PSRdV4ApN6texgX1Et+AHgw98yzp +h1q3vOkPOI80IO1f1kHZZULTvnMfo9K37PSdRSY8ji/mI5//X51daTnfCP0 em5Sz1XquNFxpeNGx5WOGx1XOm7A2DXd52fdleWHgtP7wksbrGt03ZPlF4Ph V89R6zlrncf1e6TQqV+k84jOM2rndR7guc6jOs/qOV89B6zjRseVnvMFo1+M o6xxA+Z+cdbrnAslLgLWfar0fpGKBvcrpe9drBQ7tFLsVv58dHheK3LPf9+Z c1Tpufb8e+X6njntQi60i3OApHNfOOmc86Sc+uTJq+P968wPjJP6v9Ma3ssL HfeT85zxCyZuCB32ATrOyeq9wMRHsH/4w+k9qXmc3nvU8LvDnE/lviDkzjjn vWzuq9dzM6n8Z0Wc3r9UGelZH6fnGBrmA0NHv4MpF3otV88R6bkoXZdjt9Lv K3Afall8z4S4Eu+jYefAlJfegzYjxrWwf+p3sU5Bzuk52/y5IT0XlN6r1pAv 5UPPCem5HvgAwwffN9BzKHrORM+RUA56RTnoFXZJ7xPlOecR9BwD+zvs8ysd 5wT4hw75Y5/A2Kfgt62I9kn3bcHoS7p/vrLBPhP6Tb+gr2DK0/trkFt6b9ss n35HoTT6MbpPmrVvqvuqOs+C03lmRTy3jB2CHpz6Xfn3P9RvSO/paCgXPSeQ 8pnf70bvsuQChl7lhJ7qvrHuC+NXp/G18jhOGS+kc76XdN3XTONLtdEOYQ/Q a87ZMD7T923L5H3cMq/nE+kf+GD+gw8wcme+I51+pTz9Tqbe/wnmPi7mbfSN /ah4H1I9/YiIO9WnD4p8QF9fTMe6SA+GPv0OdP7+l/Q7evnvMA8K+aIfQDns f/APHeMGeUIP1nJ4jtxYv3OfC34H+XhvHz8kvXchf78GfgXPiTPpPR4FNhDT c6l18Z5B1hmUq/cmWP7C1I7VNbiPhnGexsMKCqmHfGlcpqCYcuBL7+HFv1SM vqfxvdp4r0yWnqf7FHl7C+YfOvyMrHxKx32LvF/N89S/qoj4v59jz2Psgb5/ q3E2jfeir8iT55zHSe3BLLH3iyJO9XqBrJfLY7yHfqY/9Tl6Qn7sKljjJ/qe /n9/T7Jc1kuV0Q9gPxe9SO+ZXhrfg8Lu63fGKY/3/3lfCr0K5a5scI6b/k7P leW/I4H/xHsl8J+eA5ofMfS818L4hI73X6Ajrkq7GG+sD/U9cebL1F7Pjn5m eh/wrOjX6H0w6T1CK6Ld1HPvyIl1FPeVcM6IeqgXu0i9eo4uvb99VvRvqF/P haFHqR9XKXagKtoP1mPwzXki+Ca+yvzG/MJ4rAnzVJQXWL8fj9zBtIfn5NNz MZwnUcz4pzzSwaTDF8+VL/LF71Ravv9+z2CpvM85U77jMSvaI+wMmHg8cYP0 Xsfy6N8Rt9TvNWGP6G/kRnvQE9oLncY50/sYKuQ7GOVyD2t5Zj4w8uMf+YGx 84qhYz4lHaz9p3pGOusn0nVfI7W/K2M9Gt+O3yVJ+NT4tN6rUhn9avbRsDu0 A8y8lPq7Y+O+I/NB6m9WxfksjbfXRj80PY/J+rk22mHaw/qS9oCJ79B+sMZ1 GO/pucH5EcMn5fCccsD0P/MIGL8hvc97Vox7YCd5Dj3P9XsK2DPiVel3cSdF u5za/cpoj9N7iCsiHeMBOsrV7/MSx6Ie1jfxe6L2HiEYPYVf/Gbaw7kb/Gww csd+0E9gyqFc8mWVCx/6/Wzex03fm/gjxiN4L5P3YckHJh/vXZKP+Zv9g/R7 M1XRf0z9//x8TD+l50Mqo1yJf+OPpt9DrHB6bot5Ev7TuGD+3irsP/MDGLuJ /cfep9+vLo38oy+0L41DzYnyJh98QQdf6ftds6IfQbm0g3L1XEf6faO8/eIf +wfW+0HSew9qxQ+siXxhh5EX/qW+95PezzIl/90Ze8544znxsPSe8tkNzikz XsD6nQr2jeBDx2F6z/fs2B/6HD6QM/ZC48D6HY40LjnTa7+q3aEczZe+pzIr 4p8aPz62z4r4Xfjixo9feuvuo/LfQS88/NKRY5+tinoMneXzz72yzYaLulVF +bEO/tHKpRwr121j5afrjUpXOOvA0+/5rTz6P0+HcmO8vmXgw11Z1+WhpzdY GNfbp5xyxZtHPbtmfD27ZORDe1bFf553fnir9+/pUueWDz718W9vWugr7f8O ez54wt/Pvji0wvP/wvbrXnPKvFp33t0vzP/z6sXxn+fEnxo/d9XFr7Su8eda et+Q7q967fji974ocx8dfPXGx5Ws8N0Hrxp/37H5+7/45znjYfFt57/3yMwl fisrl3oGhHJch1Cu7218XBDq9dQLH9QLHzuF8uQ97xXuyVC/a2/lvmf1bG39 RL9gF8eXNX+qyV8VsV74oBzKXRbaEf1P6t3Z+Fhq6bSb9F2s3eSrMHlsbfmQ h5Uj966URbrWxt/zJhf+eb5j4xNvGztnhfv9wV2aFH5T5uae3Pz0JYMr4j/P oTN9cqZP8Z/nOz9y5Bvv/rLEjV7eepOZ3Wr8TgH7XwJ2c6zc+eE/Podu3Dln jTz4kwr/W/h3jBPGTfRrgvz9Hr/8VHN532Vu6NKtezw8Y7lfZHJCnnuFdD/E 0g/45K4+vz5Y7Tuf+OrUdm/n9a3M+mFwoHN7WrnIn35sOmjYnN9fWupKdu/9 mutcHfsFOkv3lh7rhY8DQ/3uzlB/rId6sSPYlQobn3eG8ek/eePeD3ruuMhf eO6XF/7w9Go/4Z/bbtBs4sL43seKQO9uMfqPAr27xOj/CvTxfRIbd3Edb3Jx B5ucsCs/G19WrxtofDC/TzQ+rF5XbXxcbPTwAT18lD19wM7+5/x36piPpv3j 0MYn/b4qtnuZyYF2f2z10w7kQDmUSzmUS/xkaUh3c0N6fJ8aPtsY39CRDzry WT1xPUD6PKuXfMuMnxLLBz8yf8R+W2nyuyRtr5P2xXqod2CqH7FfkDt8wBd8 wNf1qyed/+D2Ve60z049+MjH8vPStjZPjTO7F99TML3dx/SbeYp5K9rXMetf sf5+S/1UGzcH2Dg5qOUFx1bsXBnjZRu0f3LBLY9WumYf7bLl8G2XuT7X1t1W VJWP071x8hZ7nLJjudtsj++f2XNMVdTbx0P5kW/aQb3wQb3w8ZfZEewKdgS7 Qjv/sHbTTtpdauO8idmFjjbftjS7iH5aP7jqdfu2+q57/nvFcd/QnrM/sjLg +M/zjZ9tfcBei5b4tqu3W9qqfY2/0v55btj9I+D4z3P80pNrO+99x8ql3uTo 3wxy9Susvgz+8u9BGL+XW7mbWf010g6eQ7eR8XO18c0/z4nrf3Xe7gXHtFoR 9ciZ39Ur6EP0r+GbdsT7PEP++M9zyo3nFsyPwq9Cz04J8ol6ZvXEfMVWLv1M v1POKcZvb9Nf+EV/tzR+2wb/LfqJ977xyaCuNyx0B21y5TYvPVznihc98cb2 Dy50Bzxx/Y7/vqaO+Zh5O8Y3aqeOOWto8WL30ynjtnzh8Rq/+/Qjnj9x9BI3 tbD1STvtX+s7LnnouLeaLnFbuqN2yl2z1D0ye6u7582u9j3tf/3w3F+/zcuj Fl+TP98z74Cz7n+9NH/+hf207w9pNqHJ6XVxP3OV1f9dqN/tY/VPDvW7m61+ 6Mi3r9GRD7pJlm9loI/t3CbQ+z+snbcEem/0vqbZosOPnVIR/TT2fS8+eNDJ m49c5ra7ZPgGZ52x3P3yfZ8vv9ivAr/GI1fqod5xVs92Vi/1UO89QX5uG5Pr LUF+cT/hglBvPIfxa6jXGx9xXXF88Pd9s2AP47kMs4fe7KGvCu2LcRfKvdDq oVzqge67dZovbTetwj+04t4Hrzo7H+8sbj/0rU/f6JBjHvrtjF2uev6e/Pf3 Zlxx7p4fNF8a/S/0+/eThry6XselcX6YHej81FPva7P9yLFxHUocb9Lmw3bY /+j8/aG5x0/YdliXGfFeqr8s3ejifV1GF88T4K8VbPXdOUXXtczBV8HQt9v3 frVlLq7LDn7usJrNTsnF+7jc4hvb3tIqB19dHu/5XMcX2+aoJ5TfLkc9Jo8C +CvYul3hYc0Lc8QNoDe+XXoP2oKYnq4D2+WQF+XjNxakv8Lwd2vkd2aQq6vY +Zj7PhkzNsYv+H/b0pHHmNCPcd3yp+E/rH95/seHq79psuNCP2je2+/vd2iV P2vL0i8uPK7U7XrW9id+036s/2X9aR/cfXip23Bup5Gjdx3rrnvj6rPOW/P8 3WuLjuixhm5jew7dg+WTH2p5S53745V9J5945nz3p/3z/M0Pm/yyQ+FcP+Pe qdWH/L3Kf334xjfs0Huuv7F69202uGyVfz2ku1mWvrrHcbffvv4SP/qnbs/+ 9eaK+F9nzymHcimHcj/6/qlv/7xtiv+zw+iT2l4yx18X0t23lj495HdvWf7x Rke+3wJ2Awz/ZLhfwJFP+IZujNCR72qr//tQv5vW4p/9/PkV7o7l59QtfGSJ +23FcRs9XFvtNv/toAenfrLEFYX2ui2frW+vO+S8g6+5ovua50ubjr/roopI R77GRjfC8tFO2o2caDd8wNf7Xz5bM7zzguhHb2DlfWdy38TqGxvq82dN3eG2 nm3nx3X8rdaO6aFd/s1Gr19x/Df5+xopl3rIRzkFtZ893fXRU3KsY6eYfO4K 5frRtDPw4Qs+/GyjRzc6PUfcjvdrlky9cMm2b86I70kvNsw4JP5MPQU1oV7o KIdyCz4K9ZAvtRcFBdDzz3PqL2jy9V1vHnci5cf33Ik7F6wcfN0Tc47OEa+k fNb14MXSLsqVdsbzMgWVoVzqoV6lA2Nfn5228PPJH86L9cIX9qqXpeNXnxv6 L66TPgj9G/UGPfrd9AY9Qk/QG203/Y4ebGn9jh48F/iI62/4gC/s8TH93jlm /W+ifkc+n2/0y4Zz/DLP/7NnN/e7Ti9z2y/d66/mi6e5wuP/Mf26y5e67S64 vt+APUrcsNs2PuzFnstds0tOb7zk2hL35htbnH/vhOVuzwWv3tD1gRK38OSl T99zyEp388NvzD//tRL38LKZu3/fdqU79Ls+P94zoMT9c9yV5xSss9ItOqLq 10lD/o719LB6qYd6m1o91LuH1UO91EO91EO91EO9E/8499p/Xf23n9Sy5I0t /rXSzwzpvlVI94eF/P6JkN8f2XhvN7hbiT/zux9++3BGlf90zt6btXp7qf/z 4KGH9jyy0lu7/YDAjx8x/dHy7Y4p8f/4ZPO+Rcct8zuE9vhWoT3+j8ufXHJR x2l+wsb3z+62aGHkA77gY5bxBR/WrsjH4cYX9cIH9cIH9W5vfFCv8OHGBews vysK+Z3V544K9bmxRjfe8u046Mwpu21d6y7+6ICp3T5fGPNRDvkoBzryYU+G bNhjm6eazfYdbn7xqvHPT4rx7E7143OQO/DH8948qXv+3MRRfdu1fKiyNNqP fmn+GNf+zJ5TD8/bWz3HhXLiOQfjI/JF/PwSo4ePQYEvcNw37W/1wRf1wZe0 111s5VLPO/ac/FJ/fG71uEvtOXTCl99xu+t/f27cjPieA/wi16NNjsgVOSAX bSf7HTtYuZY/vhdQ8N2Sz/Zu0zLHPFew5XPHzHmgZY557vDXesxb+UKJG3Tx lJYn7lTN+HLnml4XTGt68DY/tszhtz/+Yc91Jl5c4oY/tfErXV5c5tGvzU3P O7U8+vJzvpnmPjvmFT/4wsXotSsxPcefvGfd6rlHxO/grOFrZOATvgq2CHxS b8HUwAfrqHS+axefUy7rB7Mf7jEbt2eaPaaeCWGcuyk27ueZfTrRxj12tL+N a+zhyTaOZb7xv9o4tHHpW5jdZLyvb+PwC7MH/VN77U+1cYk9eSy117E+5nPm DTDtpN39U3sU+aYdyMnkFuWCnLBLv1m7LJ+3chx2bQNrF+2gXcgFviebXZ0Q 5O3+Nrtq8nZHWLuRA+1GDrQzSw60Az37oOOP62/5cYnv0a/Rfr88UOun3nX/ /VcNK3EHHnD7yFv71fqPQrrrZekDbD5GL9uYfdw52Ecv/kQsl3qeCtiBGZeM U+qFD+qFj2FN7tz/px2r/R5X7H/1hL4l7t0W88/uMKvK99p8wHHPP1fijtq8 4raj1oy7F9+a03+dS0tc2+MmjxpUuMyvbjz00yVnlES7gp3BDmAXnjX+qO/Y 4IfI+0zRH47nE8xvju1GDpcF+fjtbP5439r9pNXzodVDvdizf5qdQy7bB37h 29MO4h8FHe+unNa2ZS7uY09fuWr+Uy1zxCUKnr7tnM5zW+aIr2AX0DP0Dj1D 7xj32AHGvaW7T4J/4SaYf4Gd6fjDbl83XlHux4XnbrD5IdubHJAL7TA9wI7H czq0GzmgZ+jdrgXdP/6yXf67wNjD60P9MR65Q6CLfMEnfMHnkC02aNFv42V+ twVFAx8qXuNXjnarf/2gJPrZ71/c69PjHymJ6/ZZq96+d93mJbEe+Lhv19HP 7HLNcn9e4169b1+/PJ5nb7e0wv92Yv67yZS7bagnxnEGhHrivvXMUE9cl1k5 cd3Cfj162tbS4Yf8xBHes/Lxw6k/vYeuy/CCvR94/LOOJ+aYf63c6KfTfuox vmMcYzuTH/WsumPENm8XznMPf3HFk+ftUetnzb1n/PgBy91D3xzy6qwxi3yH yn88PGD4cndt4yv73FW0yC94e0jdgAdWuqaTnjl1zu6LfYt9Tp//xn1rxu3J b/Xb/It3/UcdBg/Z86fVbmzJlVW/fbGmX3pf+evs+avd0uuWvLn7NyWxnliv 1UO911k91NvM6qFeyqUeyqWesoD9lwF70ocb3t/KWxTK8+2tvn+F+uJz6I7f su2uP695vnnL9X/5Yg3dg8Z/XeDf3x+wK+gcMPXCR5HwNVz4snrdNYEPZ/W7 /UL98Tl0PIdO6zG+3EPGF+dRHnnt1R//+f1Kv4/lL7N29rx31GnHvlwS4wjt rL4bTB77rfd9RdN2JTEOyvjYp9kTs/u3WuR7X/THsquXr4z7g8NeX3RdzcRp co/8ilgP5exr5UJHvvR+yYIC9By9ZxwwLljnDg35Y9za+I7r2F6hftfD5BDv Lw84nutGLsgJOSAX7Cp2lnrjdz6sXvgQ+Uc+4KtJkGMcj+xDvhrk6kzO0d5J ev78dtofcV/ynYHuqCsfn+EavX/Kybt1/cr3+HJC0R4DZrhPLv/j+BanDfMF 9hy6IfYcuqLDB57z+fC5bt5J2292ZrOp7p7DTmrzx/7z3A13HuYPu26q67my /20b3Dnf3fj4rQe+vuU0t9v7Oy4pP7HM3dnmpRZHVE9z3//wy7VbblHufuu5 VetPtl/T7hWvtNlkWIW71k08vOqmNfbguMUnPzC80jU/+oxjTri7JNZDvddb PdRLPdTb2eqhXuqhXuqh3gOtHuo9odfcHc9/qsQ3e+Kqsr7Vlb5ZSPeW7g8Z vctjq9wa/2DpOofue0+5/zWU7618v+OxzWueuGuav2inCVOXHrrQdwz8+ecC f/5m4/dlw9RDvdRDvdRDvdRDvW2sHuo1OXiTi79vj0v2vmTJ8/7Fyw76ccBL M/w2ZpdPDHbafzcg6W+/LO1v3yWkO9IHhXRHukXrcouSON67RevYuO1u/XKD 8fOC8fGI8QUf2xlf1PPtgEQ//XLjK63nrdw6iX14t+jB2es1fu/lGb7w3H/t 1GE3794qGNTjpRdn+B1OXveT+/8c5jpafG7hZ3+3WvGPt3PdzZ4MerpV21eO 6FfEc+h4Dh3j4muTy7M2Lm42uUwlfrD9jq916fFmbpnZpda7nNP12J3eLXrJ +ucm04OuRke+q42OfM9YO7qEdrlpLUI73gztcqeG/nfbh/53jwR9cQcHfXF7 Bf1yLuhX7Af6ZTvLRzmmZ7Ec08tYDnbxsd+3nXjxl1PddX38qc02/TueV4zf Mbx93OtVG5XE/cK7Xlgy8qdOJe5xy0c55Gtr5ZCPcu60fJRzx3FNP2351Hdu 0m7Pnf7q5zP8nasLxzRt8aN7uPKBcx7+aobnea9A5x+x568GOtIpxz8a0l2x pV9k5U80umuG/2vEbsNL4jofe808tuW7r7f5u1eJ2/L+TV8/c+MVHjnvZ+Ma +888d2Ru3/5l55W4I/tOPmvktRWMa9fNxrnNe/Hc2S6vX9HthWHT3Au/HdTi 58uW+B2sv86xcQ9f8Cnzn+8zr/leU77Lf7ecfefJ27zxzwfGzInrIPLTLtoJ 37RD5udYD/VSDuUOu3bxRneX/R3jJvAxasi9u582Ms8HfJH+fUj3pHPuw8qL 637i6ONT+nhOpH3gJ64LmVceMzvL/PCT2VXKhW/js8H30eGLeR3/hXkc/+ac dHz6b2wewn5bvzPu/AM2D2H/TY/ivGRy9Yd8/mvd1788nNvf1pd7DKt6sH/l /UWnWv8dUnzCYy92eyy3nq0359Ve+sTWMx4u2sf6c0y3ibeu+9lTtp+7zJ/b +NILBt3wOOkm3652bxjr0adzyA05IjfkiJw7mNwnmPz0++f0E3oCPXpCP1v+ Bt87J7+NhyjnX0yuyJl+oZ+QM3I/wOSM3Ok3+vH753casN+jSyK28R37Bb5p B3xOSPU7/17XhMFvzR64Zh1XXNzpgYdrfG3b79pOHFLiDl523cjG/VZ5S3cV lt7s5VuOnzuoJL5H/+yhl/Q96tmSeP7lnaM2G3nlaSXx+wTb+hf7Dn05/13q 3mbnsIsvmZ3DLq6weuBrecDuecNdC/Y4rPWgGX70kEVb3dwvbxcvNDuJ/XzN 7DDtWGXtqkjLd3tv/PK6Bx2x0N922bufNr59muts/FGuN/4ot8z4Ib/yyfOl hjn3tmjYYw+st2NFjL8gR+RywUZdNl7/vWkxLvBR+59LXrplqfvpifKXzngl /z3uLZ/bYMv2/8d3GJHzPW0fOuPvTmWu7UHd7rjovXJX0fq3De5b+n98f9v8 8c9+uLJl529Lol3pYft8+O+y7vASDyE+Ec+lEPcgDgKf8P2vnDurd48qP+jX a17Yd3CZLxvc6b2D/85/N3qQ5dsjlOO/t3zpd6VrvPHpHzW+WLfwHs7UJ39s +8EjpXG98VxKH9c5jGfkgB964+71/p/D/+vRot7/c8+HdPfBbiH9JIsn7BP8 w2j3h4by3CTjg/d+GBeN9typqOdlC+K6SNdRYJOTM7nlx43RbWjlcI6NfVra retG+KLdq+Y+feODrRdGPbzE4mq2X+Vb//vrgpnVC/2NF85rPHh0TaQjn7Qn yr/TtVN+u+yxUvee+c3EXUQf3L0hztXg++cXWNwL+sqgJ+xnuokWd5wW4rz+ EIv7rgzj2h9g4/ymsF/qbb/Un9D//eEL3ljjh8wbfmmb3Ap/RNif8UNtf2az 4C/5TcxfahL2Y73tx/rrwvrMnx3WZ7572K/xX9p+zeHBf/KHmv/Efu4Iy8/6 7nTLb/vB7EP7u8P60O8X1of+9rDf47+0/R7zt3wP87fYT+5t+VnH7mX5bw3r Ud8trEd9R1ufdjF8SBovj3JDjsjF9rGiXJATckFOyMXaGeWCnJDLYSYn2o0c aPddJgfajRxoN3KgXbdYO61dztrpbZ/M2b6Zfyzkdztb/ifZh7f690rjAd72 4Zzty/nmgX8H/4Ntn35/a//pabzA276fQ34bBvk55DfP9vHR0+qglw49bR76 x9E/TUL/OPqnzPSacwGW37uQP+od5xdOT/sn6s0Opkd7pfKPeoLefGzyvM32 IXuk8nSfpfJy1t/uCFtXfGzysHHnNjV5sE5pmrbXNbf2Ml93lH5GL+hn+rWb 8UW/0s/0K/1MOz5O88d2obfoAeMbPUDv0QPsA3qAHJAL6yvkcr/N0/gFC4Nf EDH2CT1Cb9Aj9peRK3JErj2O+vCao28ui/PDFNMj9Ao9Qq+QO/2A3OkH5m3m 8YfOe+CG1c2Xxn0H5mnm9adC/XGewD/52/wf/Ab8CJ5Dhx+AX2B+UPRDqA8/ wfyemJ964YPndxsdfLMvQ7nsS7Bf8v0OLQ7647RpbsObR5789cKquH+BXDey efjTwKfb3fwg+pF+Zh5nXo/fA7R+Kg9+mmtnfpvqRYXZB8Z30/Vm335amxp3 /KFTrzr9nRJ34sXf3Pl9rxXuuN3a9VtZMD8+h47n0P0zYF8YsM8Fem/0vl3v 9q3vmLQ0/hdsv+H8nQtPySH3vt9Xf3vHlB5FjWzdfesu//r5gZ165U6z9IJ7 Nzrl4NJTcvgtmzYaPeS75b2LSk2uxWdf+HHja17MdbT0jXa9ereP2vTJ1QV/ 1ldXP/3Rvy5/rqizpcMnfBdUH9Wm94Wn5vDnjijd9ORFP7xW9KWth2cd/Wj7 M555M9cKf2/TaVt/cPHZOc6pdB19xQ/7T3zPzumuWedfN6vpkL/7FR1g6cjh OJNLcJva5TgnEvDbuWeSc4D9in6wdOSE3JATckNOyC2+J3RfkBtyKDC5IIeC FUEu0Y81OUwyub4xvuSI0/98JXeOpd/fpenK9Ye9GOVyjMkJuUw3OSGXgo2D nJALckIuyCmVQzuRw9u5H5L0fkWc24H+Q1uPBjwgt3eS3r8I/xX6zxL6fxe5 JP2tHH4z9CYPw32KOiTpfXNVyXnLPuih4V5F+J+UF/6557tnUcskvVc8L5O2 c4C0s3/R3iKHtJ2v5sYmfPeln2K7Uzm8lXMip1QOfaSdvYo6ipzSdva0c++c Y38aPY3tTuXQK4cc/lXY65Q/D69y7vLJKx/bbWF872OdefXrBdc2rCPcFWFd 4QqNjnwFRkc+i6/GeWLvEH+N4+qpEK+N6z/eg+8d4rX+CYvnkk48t52lX2/r PNZ93WydV2jrPtZtt4b1jJ/+13PfXNjir3i/AXzBJ3zBJ/V2Nz5ftXr1O5yj QrlxvQ39ixZ3hl7Kc1dZebSLdSnr1N1tXco61eLbsR7K7Wv1cG4CvZiS7Gf0 LBqVpHfNcf4C+oHJ+O9TNDFJ75XjHEbBRY39yEmFuWdtH+OC40cdctLIPkXD Lf3iohv/bnZAr1w8Z/fgmMJtfzw+N9r2IS74tnWHPrv0LBpm6ef+utPuG9ze NUe/TLN+Qq7IWeTtOPfCunaPW3/+cOvrHyyaZnGGsg8e//OWFx8xu1Qb45rE OYlrEufk3Ax+x/RZOx789OpH7LsSlb5Lp/lv3vJNN7PrVb7Q4qDERadbHJS4 KPN3c5uH8DvMD4lxBOo7xub3FjZPFtw+fNRrA1vm0NMdegz66MDPH7PvgVSs mZ8f+ODS0U+Y3VvuC54J53zwk8pemXzkxh2fsPu0y/257zzywwk1z+Qmk25x WuK2hRanJW67L36HzZ/wAV/wAV+RD+ML/wf96pXYpe72fQvSnza7WxHx5CS9 exH+VoH9sDPgSRY3CaiLzVekd83RD/QLfE38v/LRvWiytCM9R9XdztvznlBX 5BDxPtIu4t7Hmx90An6fyRm506603V1tvlkRy6/7v8qlq80nq6Jc9rF0iwPF +O/FZtfbW7xobHjfyH1m7xv1DPHh6Jezf4ZeWLw4+ulmR+O9YduF+HGMY67u GPxx/HTaaXGxGK9qGuKr+XsGjQ/qoV7KpR76K7WLPYtSu9g1l9rFdmIX+xSl drFXDrvIPL2N1Sf7k/Heov7GH3rT2eabuH6w9hRcGOwqdrad2VXs7KlmV7Gz 2FXs7LlmV7Gz2FXsLP3EfqnMd9GuYmelfXE9w74A/JtexHmfeDj9QDnsH4Bv CH6DPx5/w+SGHOlXrReMnsBHi1CO72D+CPM6crf9Da98g+ssLko72lj89Frz e5qYHpJeYvMT8xbjmHGNHceuo8fodRynwW8i7hrjsDIfRnotZ7WNY+QOna2T 475Cn5v7HvrZe/PjPqPhuG820Na1N1h8gH74fo83u4yfVxn3UZ+3ciw+Hu/F kvQ4rtvUnf3Tyfn5Lo5j4tTErYlTE7cmTkzcmDjzp+l+Sowzc+7wkRDXiHFn 0p8c9sYu5x9V6a69efPqjfstdRdanBr9sPdlnL0vE9/XIU7Hup04HXFp4n/E pYn/TZ438+1Lv1nm+IeOuKGVF+OGFueI/kDFtvuf3+Kj+f7PE9d57OLvqmO/ IX/2HRsd3L5mcG25u2thh41fGMa9c+UxDkFc4piF95b5rRb6sTN3+OSXWbX+ u2duv+yIgav84a0r6hrdtyA+h472EreY3ujzbuOu7Mk87v8asPEtp096qugs syPv2bqVdewdtm5lHUvcYEuLIxA3+NziCOm66dVcum7qW5Sua3oSp4jrHOx1 um7sm2PdaO1zR4f2xXUM6xqeQ3f7va0G7T17crwHi3v/FvU/8MEOw2f6TiE9 3kvGfYNzLB06/Q79O/beNfssjHfu37rR6l0Y8sfvSlDPrVYv9cTvv1g+yiEf 5fD8+jR/vDfxBnsOnbTHDdx7p33POqB7bqj5w2+cduyBO7foat9RW+7HBj11 laa3+E+p3/d0LvX7uhYNTfyn7rmaxJ/pUpT6dV1z+HVHWn/9aXo7MPgpboK9 J/26vWeN3LFTt5jcGUfYrSNtHHwdxoX7p42D30wf+k2Y8kLnVkvdZU32vv7J zyt9B9Mb5gnoyIcfhV8Fn/B9rcUTh1hclnv9fr1n5IM/P7YsPoeuwxY/PXjf 7ZV+9G59VlXOWeg3qpfHGH/eyIlv719Q6m40u/2p2fEBLY4Z8mb1aH/lw9tN uX7ODLdVm2HjGr37qz9n5VGjZpfPcJyLJ26KHezfbn77Xdcrxz/z6Xn1NXZ8 2XtPDJy5Rk5hXoh+hPlPRdzfFr9T/mXd9/ecekUR9yqeNGX4nR0vK3UDzY5j 17mH4Zfvy96bvHpptOPY9egnmt+4kfHBvaQ9rjrpkNtvqHNNf3t93gfnzHeL wzlvf7ud+7535Ssv7bfecr/LCT+1eaHvYj/RzoE/E9KdpTtL5/x6g/vyK29o +e+RboXnHL28DxDj25zT1/P+vFcg5/WdnNeP7Sa+zb4w+SmfcjjnL+fx47l/ eT/BtR/x7i5j7i+P943yHkA85/vhpHMq/z0/zutnHfJM32c+r47ntPCbNnhq eNOdb8jH40vtHgr8BubfC0L+eN4h3hMb8sd7KeAXvULPqBc+1rd64aPZSRP+ WvLbX768bZ+tN+o7M/7zfM/w75bY88Xh3+1l6TyHboGl72AYusXyHDrs821m h6uCnsR7GZm/kev4URPnX75tRfTPLgl2xb0T7Excb78VxqObFOjz6wobp4xb yvnTyu1v5Vxq5cr7X8X8y3uBvH+o7wsWzrR7CN6w+xP45/n4cH+Evz/cH+H3 CePQPx/GpeeeiYcsvYmN02ctnXwTrBzy7WvlWLojvbeN9/0snXKph3Kph3z3 WTmUSzkFw8K9JPGeEruXhPHMc+5dOWLPn5ue+R3fFVoY3zf4dnG/2ScfscRf detT3yz4oyL/XdPCcK8J9mD94tuaj/x0Sjz/x/+69rxR+I/nFjn/tdqHdO5l sW6Mdhc7PN7uaYn3ohgd97QUDwp2We+FtfJdgfGh9xxgb+qMjnT80R9C+911 of3xu0DMm8yjlCf3bxak3weI8nATrT3cA0O77Ll7z+7vsPs8/JzPJt7Q459T XM2km45stesc7vnw0PEcul3CPSrO7lXxZ9r/bva8qd2zco49P8PuX9nS0hnn T7Tc4bUP76hz3K/9fMA8j/PI80J3tpXbzOrZwso1PtwBB/5+xxnvlPsvz91p w1uXVPiWD9576QbfVPs/euy4+t9r/Jh1vM89tUW1Lzlm8VVvnL3Aj95uxM8X zPnTb3HuxA0//bbU37T7DgWDz/vTD91i0y4T3yv1/6iXtp1v7zLQ9gVNf7oM Knr7rO0GTO81wz/d+859r/noI/dWwG5Xw8EeT3eDri86ZvHDA3MtTI/mj/pq 43XuHVS0qdVbHPhwn1q95wc+nD33mwU695jx90Wgc/+w559Z/s/s+Y2W/1Rr /++h/W7lV6H9s0P73XiTy0mBzs0yuRidM7k5k6NbYPmWWTrj+oHNm7S5q2Vt /Oc5enjSxN1eXueY/HfMPvlq1nEL7/vb3bz7kktrFpTF9diNL73b49WfyuL3 HKAj3yafNb/6vbdL4j1umwbc4H436NaWT+nQG/SIdiMH2r3Q5EA+yuOf5x8G /hvcj8fz7kFe8R4y/h+3571TvYp6mOrloCL08mvTA/SqtekBemXPo16hR11N r/qanqK3S01P0ds9RM/HmlzQszkmF/TM2hn7x/ozylva69Fj9Bo9Rq9F31Sf VL7uQaMj3+YmF8a9letvsPZbf8TvLC3Yde6HV92+wFf0uH38wOGr/N8BuyrD y8K/W2h0yw3PNzr89dwGsy8ZsGuloxzoN9n0wiUnt6lwX99zyDuDDlsW81HO PacctmFdzSR/xToDN9/351m+U8DuYsM8h86eu9tTHPN1EroL7P8mS+f/fHte Je2Gb9o9IowX19zGS9vN2t3784oq/9LvzcecddUC/+6Gd55xyRlL3ZKXXu6z 4JZy1/HeLr/v2mypm3Th0W7F9Er3itFdFvLFONON/2p1yInFi1yxjcdmofxY D/W+tOjZke8c8Ydv0/qnr5ffVeqeKxm2+q83x/3Hvr195DWl7uCxk2uu3rvc /eOJ0ybs+NzyGN+9NpTvP59x2PQW1y3ydcM/2GZByxov70sUy3zlP7HzL3va uR38PvIxr5HvsbCu9j9dtOGpkzpMyh1ejwe5I6748vQ9b/c5/nn+gK3Dw7Q/ Kd5jx3l85knmw3W/CHx/FtrhrB3O2uXkfUT3hbW31uj2t/cU432/5gc+Y/6e 7Vt728f2o/9u/E3/ZZW+7tx9N5941UJ9H6RQ5nN39Ed1nz40tCT69WPC+8J+ QHhf2M/+du/ybb4s8XfNb37oC6NW+ZOrRw0bct7iOI4Puufi90v8oujn8xy6 l14/4ZlRRSv8lpXzl7ecm79XcVhZ1ehWy+b6fb946Jl91lvlvzhnaPd9vpzr JwU/xi8yv4Y48HCjX2jPJxpdScDuN8N8r+CRp+84beZpU/0gey9yVnhP0tet M29mm2PnusmDXtt6w5opMW6CHN6z96SRQ+fQbocckNNxgd59bHIaZ+9ZdzI5 zQn08d7+7oEfNyrw45fYe5vGjzd+nLXbTTZ/7ldpp8kn0u0X5OdMftHenhrk 7/oG+bstgvzdYaG/4jiGjnwjrB/2tnJN7jEe/+pZ+41789F5/oiJN2138Fc1 vuKQLzfetrjEuTNvOWn9sjrf3MpHH+y9eGfvq/sdLC7xgMUxTnu3/7b9nl3t GzVb96W9x+fjEozPf4T3C+K6mXXj3Kf2H/LmzWX+OKu3PPDhPz77o00rvqxx L13df872Xee5dW4M61f0Hr5Mb93Md59uefEhy1zzf37aY/4FFe6FkM8PtnLi d4GtnGVWj9Wr6Z5/ntMO1tG089TQbtc73APmXrT7wPjn+V5mxwaaXaPd8Xtf 1k7jN66jrZ/93RYP2t3iReg7+nub6Tf6av3ollu/ynh1Hey+w+/sHr+mNn6H m/7BB3yJfqj8/HCj7yVypx+QM/2LfSneepc/+vzYIfe84b6jbm05raBL0XOG y8pP6Nb5lq459Jp12jMJ7ppDHqQPSXDXHHqNPBgHndt/c+XV681z0zYa2O2C vrXxOyl3hufRbjH+xxjdyyYX9BS7Z+PYd7zAtT6u7dz43iJ208axv+zAzpMb dV8S30MkLkickLggcULW8azrWcezruf7H19f33qzm37N34t+s/FBPZdavQXJ r7iodb0833IFi1p16njPiTneA7sy0Mf3vqy8GKckbkmckrgl6+54v4mtu1mH Y8ewa9RDvZ/LPDsytCt+fws7id28xfiCT+Zd5mGbR2L/fnfdpnsdvMbPH1Gv OCPcdR9s0f7It2b4nYtf3a9v62I35KMfLrrnyRn+/brr6y6/+7P4XTPL51b7 QHdtyOeWGd3QkM8x7zL/MO8y//CceYrnzFPc98G8xLi+3coxfYjvrYp8437c j6Y3V5vc0RvsuN1DEu04dp1yv0njJ7Gem84bXdrtlcV+90a7lvy70XKHHcGu YEewK8xDRTZO6KdbZJygX+gtdJ80PeCE9/qWxzhs4U27Xzbtr6Xu5PDvx9i9 wsRvoCMfdORjnDBu0Cv0jHs+4vcg6uVR5t6vHjdkw1b5fRH2SZgPmAfXDdid aZg41Yd2r+mjuffG3r/Jgvi9d+YRytlmx+pGZz4+wzMutw3Ygc8weuqxcmMc n+/ndbV6WPcTB+D7X1ceOGz9Zi8sdfee+OnlL6+pl+8RsY+bfj8sv6+LnYCf IvO78cN5Tjvws/G7tV18L+kB40PuW3F8l3OPkvXb3r9jqWv219DaF+8d4x/4 fFHvvzYpdXu88vWoyweP8ZXvvfj7E1uWus8Pa7Pfx9tW+uFVY59ffM4i3+yi 6eet+mp5PJcT/JBK32HY2yMPu2FR/N7VuqMWvbVg+0V+4vKWE+cez/fOF/lN nz/i511nLvTdTn95do/b8nFW4q7zi1s+8u/Tlrqjz7/h50Nuzr9nSbxW9pP8 kpH/vuTr6ZX+kflzF8xumn/vgfcgjrRyFoZyvby/6X+0crhvfezeQZ5jZhdM 3mqqz/HP8/Gyb/lcMn92se9t14Et7sz8eXdR1WbbHdBlzXrz27EvHTqsXf7c IPom+3Guu8lp4yA3lzM5sd43OTqTqzs+pMc4xRYm70eNDnkfaXTfGx8Vga+o 9xvcnOzHxfhWHzvH6sM5Xb7/5LaZuHy3K8ZMKDrX9i35blvnp6+YcM0avTrg kAmdH75vTHwOHfuC9Ku91xD/H7d1C37DfFu3fGnrhhJbt6y/blg3sK6AfrGt K1hnsK5gnQFdN6vH7o3xdo+M38DKnWb1sI5i/mMdxbpqitGxrmJf7NiCder6 N1qz/q+Y/ti165VFeyfvfxbbOjHGnza1+f0V83cKgj2J/gvfxbw92BN/p91T pt/HvCrsC8Z8lEM+ysGOml2NcQV5L7kQvmV9G/mEb+ZN7B/zJvOolvtTmA/i 9zv55znriGa/X9f+8w2muUFPj9p/1z3nu902+eKk+Wtw/4pjKo9u8rfb/42S Uft9NdU1NTryQUe+Zkb3juW7PNhx+c5opef5USEuFu2FnT/ydv7INw/1xfXa XqE+Xxzq8weG+vy7oT5/oPEH/R7G3/CU3n1i9NBZvljunlaPtcM3tXpo9wFG b+U6q8e/Zu2GnvKNPvKxu/EFHwcYX5RLPZRLPU2sXOohDvtKiMvG+3W7t/zh w1bPzOA/Pn/N6Mj3TDj/4Nra+YcFF9Wff3Bn2fkHnj9tdDxfaHTMy39NGD1v SZ8S1/hS13inu6v92y2GDGrxYkm0v9/tMzNX8ESJ6/rxdn/N7V7lL9nz8s1y vUvi92pHn3NH5ysuLHGTuiztVPPnMn/xet//vKhNSfwe7od1dVV1x5W4bc9r semiDZf5rp3avb/u2SVR/7fq+O208UXTXPH7RzZ6tc1if/lV64578Ktp7qRR XUa8edRiv+Hg0zf+19Bp0V7nKk+qOrPTNDd2/CHvP1Sz0A+vXHb3qU9Mc5+3 v2PFRSevmWd/OO6iWa9Mw0+J3/2dYev5g8N6nnEf/VLxR9Dz+H3RGwdW9p22 Z7k7/br2dzz/bLQj8TujEi/2d9g6kHUydtLWhV7iMf5buyd/o3A/uX/B1jFb 2zoPv2Zs8HO8xVm9xGtiued2eGDIS1+VxPMNxk+Ms2Hvfzd+Or++7z87tpln 9mcNfxfN23hKi3n+lAMqGi3es9Z333rwHpusP89f7Y/p8+2ztb7gk25tZrzT IUfcq2DAqOqLbumSs3nfF2/+jycLbr23aLilD+y/y5Xb9L+v6Fbzy4u3bbLO c9s9bO9NrfbwS3ms47GrPS/ceZuhdz5q5+9qfE9b17PO3+OEt+/tP7OLvXe2 Iq7zWfdT7jmhnohpB3zTDvimHfBNO+CbdvCd3ruCHF2rIDfXI8jRXRLk5noE Odo8d6vEIbrmUr8qxi3ieTJ7HyPSE7eweuP3gnta/51sfDxl/dfW+EAOaZzj Vol7xP6Mflvqx3UpsnVW5CfGSey7KPjdX+9z7dyHW9X43LB3H7vthvz3xgru 3vXKy05vmcNvw4/7Q74bgh9nfl88Z73u+4P2mfHVcrf8wEfvbbTtorgOIRKR ftckfieh0NZr8fvt+JX4mZS/TijfL7XysQf4kfiV8Tsmdn4CvxK7VTMg8Jl+ 57QSvuN68TtbR2IvHjU/boX5URPMbxte9vnDjZoscG9et8eehSdNc3/Z82qj e8ueQ9cvYP9DwP5tSy82zHPosDOvP7Fb2XOP2HprjV97YfBz/eZ9wnzEPvrX Vo/VG/NRDvkoh3ybWjmW38O38eeNv+gv77T3kR/1rJ3hl80J33v5OXzvxR9j fvWdwc/2H9i8Z+cD/Uib984M86DfxcrhnOFoK8e+L+PvsnJOCeX6dlbOt3bu 8GwrZ0kol/Ic5f1m36HZxcozvpzxGc8tco6Rc4uN7Rwj37cdPbiwxxFDZ7iX Tj9xi6rOP7pHNj7h9SN+nuHGnTS4+5hJP7gWB4+besaPM1yLuy7a5M/xq92f XX6/Mjd2juef583OaD+mybZz43z4h6WfHNJ9U0vH7x0X0t2plt4kpMf4gsUb 431ulEO90FFusAN1vumHH17nnpzjr+u96dK9Rtb57n0q+g7uMMf/e3zvP0a8 XuePPujZ7665a44v69JvxhGlq/2prU67quSXOX6bDcd9uM9Za/Jv/s4lp708 x0s8Mf/d9cEHnTy9d8sc77UVdPyr1aNN77BztlX+jS0GLxu52Z3xPbd2Ezec cOwNnXPTLH3giNKDjuxxexH+S8GRh/382IqWOd4zG/P5M0u+3PA+O9db7ouv aXR564seiO+dFbQ4Z97EPe+3+tekj3jk17Pm3FOkdil9r+puO3cOvkPes7rb zofn6ekX+gl5008Sn3WtTA+s32M8x/onfi/b+sfdEPrHdQv94/qG/nHHhv5x 80P/uDNC/7htQ/+4JqF/3Ibmx/x/dV1peFbFFb4alloUsiCKhC2spmBFUgx4 zSRgEgHBAD5WwSJRwFAJEPwgoIWGFjdCmuCCC4pRCyqbKSiLfDCJJJFN9gZB ki9hKYRgVpaEkFCaed/Dc2/b+2ee2c6cmTnnzJkzZ+bivysqEHoM9RriQbyI B/FKpN0O6y75inyL/z3xv1DCp+TbH8BX5FvovRp6sKYcoVzZBThVkCuUIwMh VyhHwK8iR/IhV8CnwreF5Xlnvswq0XrpvmZ/nptLvtXJ4ONHDN/qKvBxbnxK zvpWdbr44eklCz7yqcvBe6buXFWrt2QF+25d7lPlDWtOdK+9rDvpLQnd0nyq fe8FoUvirujzuSPsKak+dfbTmm5X/nhRX33u1YZNz/nU9NO7t+/reVFHTzvS LG+iT8WnhB++Pqda52YMvvZWpE+Ny0vN8V9drf86Pid0cYRPJZfFtmo7rUIX FqS3632iSI0ZNXLQk4kVenf4PXX33YhvWh7VMm9rmW63enzeldFFQi+hTn5W 5OePQS/k5wrQy1DwcyDoJRT8TDiESziEGw44hEs4hEu5QLiUM5Q7LnjaBU/k DOUO4YncAV8QHvkCfKLJFx8A3jDwRRng9QJf3AV4LnkocAiXcAiXcAiXcMhv GD+ZFxd+wrfkY/It+ZhwyMewM8g+j/7M21o0Njz67s1389q++25QlzE+NQD2 RdotaZfkvojy9EXYi3uE1V2auLpGx8xLvWfdw2IHF7s49SToTboSehL1r0Sz H9Ox2I/RDkG7BNthu1wfphg/Ne3Cx33eRb1S9EC2Sz3w9xlvP7Dq+0pV+s2J 3H2takQPZXmXfufuj+h9LIdzAtED0S81FftO+rHTr51+SRzfPve+3+m9yEr1 q+LmV0esq1HZi2Nik1tXKvulLZvfqKpRl0I2vxA3uFJdbAprxR5X0Xt1cbut terRsyUpne+qFLs552FkxBcdd+RfUbQr087MceS4Aj7CWnmP/JyBr2MMfDkP MGGlHmrga/hR0a9Kw+9Hww9I0lmOdmzatTn/tGM757VaP2roTHcD3RG/MGOP 1EuNPVLsbMRvJegS4yb9ZL8Ih/1iP9kvwmG7xIPtsj7bJR4r0C7rX4JdmnZq 2qFplwZ8BfhiZ+U8085KuyvPnTjPpAvSCemC9UkXpBPSBet3OjxioN+GCn30 lT1nghprNf4PqPF/QElnOaazXO+Y1xZmR1fpE1vmvqK+u6znrzn/27TJVTo/ os3czqmX9c9IZzmms1xK1ZPHOgwcLe8snM4q+ueDAWu97+P8qEXg6QVDrCzc bz6l99a1/rx6+md810VfSPF7Mv5IJt7/OSXn2dy/YLvqdYTZmudVyF/Bd7EZ 9zYgn/RpvZ5aPrJHjNwzzDyU9Hnf1fPxvk6Vvv+Rf4TWxfxJ7h1a/Us8T301 D/vsKp3db0xIz6AUm/eYua/NwDmYia/1HnTkZ9kdTD9NPOUz2FGQn5Lp3Wr8 w1TAqCb/MOWP0Iv0jDWLF0cPOKJOVA8f3zP5pH4guOn/n4r/BTX/wzqsosz9 J7lv7sRzrdeJZ5btwPMGXk48M73Ek/of58WMH/+XmmD7O/ITvFeb6vGe+xy8 I7AfcY/N+3LW3QmP9RumMB+HlLWu36iWZU942zK/4LzfuKBw2+h1BSryQtkv 0Wvi8c7AEZXyRWxpZvUoOxd8yXOt5uBL2Zc0fde05f+2r8fz0Tbf8SjeEf/M T/fNwHlZvbZqSzoXFCfJux6ZC0c/8ercJPj13ohPey284L3pXq5H1pftCjuu jJZ7i8W5Z8av987GfuWynlHbb/aU/R65xxgZdvuFjgtm4d7iZZ25NGRj3Jxk m/KE87bRsT/xeAsc+XNc9xg9oCeJeykvOF/Odx08eJejVspfd8LD+xaSj/uy DYKf892HGbgvy3iCvAOBfNwDaRB4/C8tz0ld9iVdDXm708yr0DPvs5p4nPcz Bx3GoV/Mn4B9YoHkhzG/U0Sf1RmRNvcf1oIWw3rdMhn/zzykMl8edm952lTI mwMq7l8f/jTynWTwwx5V/HjOU80/99g+1M+Ff2dL8O1tJtRIV0Xg248MH8t/ kcMMH+sh4FveY+S8OfkuwXbxndfJd3NcfOexhe/uMXxGvksBnwnfHTF8Rr4j n5HvyGfkO+qN1CO5Tg1yrueiv7r8LbTr/1aa5wXcR/O/Vyzn8n+Q9wusSrPu cJ0pwrrDdcYf6w7XmVysO1xnLmLdcdLVBNtFV14nXcXZTrqa4A1z5QtddTZ0 RrqKBJ2RrlJAZ6Sr+0FnpCsrztAZ9A6N83FdCb9w8RM3eiH1RNFPeC8k26zf yjbrt8L6rbB+i98I9eGHUC4H9ViO9Wqgp1yBXubSZ6mHyTmXS5/VIceXXX1m +nm98MH6trMD6vSaotQR3UaW6Q4XKvN3tanVvwye9PfU5mW6b5vWb/YfX6t3 /dR17Dwf/xPcoLff+m1wxctlev7vgkaorAYd25geGJJTphu//fZ07MgG/dG1 nfUf9rmgp1ZcDu+Sd03q7QQcprOcU8/gd1PfcOgZN/QOl55hNzjqr/BSXu4x 7alZBk+VZ/BW1w2eKsbgrZ41+KiVBh+1G/UIh/UIh/UIh/UIxypeEb4qMkL+ Gw69QS2B/GEPeX99npkH1RvzEmTmQa3HvISaeVAVmBfMh+K4fg/85mA+ooHf LRvNfHwK/CZh3F36s14I/eY48ET/NfufiXmajP4xneVewbhkgy6uYVyGgi7Q rgIewqfy3/fiMeOudOli896fi16kX7noJ/vFfrJf7Of3UX6lyzsd0iH9V24r 6X9SvTM4IsEz86BOfMz7l/4hJ1UK+LQK+7kHzD5KlWNf9THmqRDrBvW+dNc4 cdy2ww+G77v1hR8M/WJCYUejH4xn+a7A1LVnhS8SAzaG9Swvh99enYz7LJRL MvnYX9cxXeYh8sv8fXfsPacLciKWe6Lq9XGEyqSroyauohAfgvJHkE75MPHA 65uDa4pkX/1UVFKrTsE+afeFXpe6dPrEJ36j2ROH/VD8xc38tyOU36FzpQKH cJ8GHMJNN+Wkv9rAETsEzt1lf73WnKPLfhZ4yb7iYXMuLn5krLcDcFzn8VKP cFiPcKgPPYTzdp6P8zyf/EP/AJZjPZZjPZZjve3jQupX7PlZ+715ovDU62f0 7O6Lfdsajul2KeOf3tDjtN5i8lXjGyZ/mslXgchnOdb7Kn5WUv+QU6r93XsX eWYe1ddNPbUJ7aCeAhxNuJvRDuGyHaSznEpEPcKpQ/p61L8D6S+g/gaks9xk pLdGOeCrga/gzX6sRNgG+Ufhp8H1LA/jyXmmHwb1HdCL2L/oZ0G/C/pRcN5J 56QL1/xrFz9oFz2IPHXS21VN/nDRm7JddEa4bIf0znbAV5p8Rv5gu+Qf8uXo fpP3z/2a/lTX9KDnB2YGb/SJXEW+Yj7DUajHc3TGWY9wWJ5w/DFPnDfWZ/5o F9wxSGe8O+Z/DeiCciED8oTtbfw5u8ei3RdUemn7w+1zfGKPZphm0vVihLQH DzLn7jfGzZzD58HvvL4pf6tmmOfyY6dfO9drvsvJdNZjOsuxvjV9WeOfno6y GTKd74Ja/pP/cPud/WyrmQmZvuS5T46N6lqqfhyU89gz2wrVfoTpSHedj+of EeabdMYV45w/K+/xZ4vH8v/StTf242OPfbww2ibfWAFDhk85Gm3T3sr+3Bew 4dqYmeWa6YTral/wcuUrrkNcl7hORbnWIa5LUa51i/oh/YDCDR1KvyabdUno BvJC7JKQD2JnnGTWJ7EvQj7IPRCuX8xnO2yXcNkO4e5BO6zHdlz+XuL3H4C4 a/2V94IIj/YEtkc5MAn9ph5A/DgOXK9d+ChX+2IfpRxle/SPI3zyf4CrH8Sb /fAHXOazH65+SbsF6Je7XcYHol9uPMQucuexktBnY2z203rprotdu8balO/W ssyOaetibHmvI21H0qGWQ236gVkL6k/3f3+4zXdeSPfkb4GLdgTOBwYu/SUt v6iq6kOxN+GiHYGLdgiX7fBdLuxnbfq/MM51gnGOK+tz3JnP0A1X7uX9z3Ys ywl3gs31iHG2cxDy6D0jj/QnCJGuDyBEvrxXxnYoHxin3LDSftGjA6Nsvk9m BQZdXLboIdsKMHZDWa8gx0Suwe9B7I0BRq6JnHtxSfkAL8tf0tYA49cgfg5B Ru6Rj6Uc6nEd5jiQbok/1zHn+FuWu5zbD8ItZ512wwkuu9+NHdP/G8dUM24y ju3MuHEcIR8V5QJDyg/ICZErtNOL3b6ZoWvSufDVTMNnbrpy081/0THstmLH Rb57nN12WY7z/Cb4P+qZ5460qDhfIn5sVszJaaumRoufZOTZUs9bI2bCH+Wq PnD3tMSipTO8Q3EO1RXnRq7zMJ4TibzieFl5cQHfJEfb9LOMDCvPD6pO8k5F fsr8uq4PbnnJpt7nvg9FPU3GGZ/Tr9HjTXDke2za31je6XeYgHdkb/ox9n18 SM2ON0tUhyZHz9Xars84WLXVJ/4lQwKDS36z4ZzcC5r/Rq+Re7f71PC6PmN7 /+fe66szSg9v86nbY1Ys/iC8UeAQbmP6zr4Tu1er4zEDbuvwVpXK/nrTmEcW ndPf/W1o82Pr6+Wc+teX7o8vfNmn/g1iPSe6 "], {{ {RGBColor[0.293416, 0.0574044, 0.529412], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtlVtslVUQhbe9SHtOC3af5j+nR1poefC5hkSUxPAgCZVSTUFaCVW8h4So ITbhUhIfjZb44P1KhSIXEQoSExMR9AUUE4OJlxgVBdM2USm1LQXig99y7Yed Nf/8M7Nn1p49u/Xhp7qfrAghHGVVstZkIRzMhbC3HMJzjSGsQG4vhrATuQP5 VuSltSHcwSpVhzAJnka/NuE/tZarsDtdE8J6xUPePCeEA0UvyVPEe4s9rtaH 8Da4l1h34sfvMI7Pfcgfg2159sP+iWp/Sz8KvgieZL/l4GLWMtbT2DRjf1g5 830GnAJ7WL+VHP9UAR3+l5BzbNaLfAi7D8hhOvnI/pmmEMoQc5w8X8d3lrhv gItjCHOUY4Nz0P5twXWq3g5sWvLOR3kdQn87OMZe9+C7A9t7wX058ygOV2X+ 7sdmtzhG/2wVnPD9Hd/DRfOk2vRvGvsJ8POC81OebcgPoj9LDjXYL+H/XaxB 4m+Jzv8m8Efi/MA6g901vjtuCKGbWquRa4jzCNhIzIE6+EW/AHnDjSGMELsZ uQ+5/mb6ITrGEnB9NAe9YFd03avA4/isEPeZz2RX3hxVRp/VAvBIznzJ52Lm HFqopSo695eia1btOtMFYO1c16aaVftY5p5T7+3E52DZNgfAEzn7iI910X3U An6UOcZ+bF6I7rvB6Fwq5/r8hsuW95R9Vq159/3RzP93l52rct7U5F7QuWiP CvT9cLsO/fnMsnSzmfP8EvlyrXtI3F1PZ7G97P5T376Gfn50L/xLv13Hdwb9 1/hezWzzVcE4k+xHmnxnxiloZTRnndF7LsqbH+WqnJsLzlf2yln/pxOHa6Nr 7QFvi+6Z5xOqh5RrZ8n9pr7ry9wPD4CvJjv5DWNTRS/tAU/W+7zlM1B2nG1g XdF35P+7opyp4wr1/pT2Utz5me/GZmzbc547g9j1EXcjF/KY7h91rWavv6kr P4/7Pc899Bn2y+q8xwXsHgc/AS832vd9Yh7JPB80JyYazOWj0b0ibtqiuelJ /Ci29pD/LvzPsce7Rfdqe7q/ulfiSWe7suT+vxtcmO5Ua8n9od4YQ34lOu7L YHPmu6Y7t6Fs7h4Cfyl5Hn6D/q8Gc7AJ+6zRvCwih1Hq76LeW5rcp5rnum/f FjxnfyfGOKsTm1Fwe9EzULOwIjqfPnBL0b5r0l2Rjfj8uWQ+R4j3Ztk178dm YTQ3G8FfU57KdzK9Ccr10zS7T2TOW7pL1PE9+S/H/nzJvIgfzR6djTjWOZ9K 80RzpTfNnPvFVfQczUfPJvHWgu8scfdhMwW2wMVWcq5AH6Nr3xa9pzgZqnZP qDf+0Lwq+I3QWyG+ZHMOXSG6n7dG1yf/oeQvG80RvUsT6W1QD6mXJhs8h8Sj ZtFj0bOrBlwdresW95n7fge8vlN2z6v3P8w8g4bQtaZ5pbl1tuC+vJb5n2wO Z37n1M8Xyf1PVjc598NBV+b3V2+y5pnuhu750lSHev29st8jvUsD0b6Nugfp fHXOF0quXef2RZplM5oBBZ/3FeT/ACK4H64= "]], PolygonBox[CompressedData[" 1:eJwtlUts1FUUxi9tkc5MK8ydyX/+M9pi2wULVyVokCaGhSStYKNFaHyUoEYQ jY8QmyC06MaNaXEh+Dbl1YiobcEVQayPRauYGEyMxhhR0FKjAsqjYDTx9+Xr 4ibfvefc8/jOuec2Pfhk1xNVIYTnWTWsfZUQqq8NoTEXwp5CCNlSCGczIfQj y4CPxhCawe2cfZyEsBf95Rnf2Q/eiTw7P4RN80JYBF7MnY5sCGxDNTjP2fpr QuisC2EbeD6rh/1zOL8evIw1iv4SbHaC72IdY7+U/Wrwz/gcwNYG9qfAzZxt nBvCblYL+AxnFRJag3wafDdnH3H/FvZrwM+y+vBdwyqAL6PzF7JWdJJiCNs5 e6bOMSm2A+R0G/IM+R0E93O2GvlmEroRnLkuhBz5DuB/Ar5aSralGBWrOBSX ymk7speidcXRLvDhxFzJhmzdxNkIuhO1IdwMvjOae9XgcfAQ9hqwd6U+hDeI pzY63y5i6gNvYg1ivxv9R8E5fL4dnH+dYmO1Z30m2UPo1FaZz8fA64hnEt8L yHcE+6P4W5hzDQbQX4DOTM4ciasjLI7Drdwf5e47FXOlO7pbjI5NnIm7hoL9 if/9qXtAvbCKFaNzVu7qlyXiata+4tmhWNkcR97K2TzwCewNk+8KLpySPfx3 zAnhO/jpq7hnxd83xD9csg3ZUo6D4N0F957q3UD8X7C/QC6T6O9Cv1f8gVN8 HEb2Oetv5BOc7UR2Bp+9cxz/NPgANhYj34v8LfyPob+8zj04iP4I8raMbe5B fpX9RfYt8PUb8k/QP8d+HPmOkntWtVO9ZvLwHs2dOJwLriq6FqrJq6nv6O6L 3PkQ259h7yliP8jZFmT7Ut/XGygWnaNyVQzH0T2Zmss21o+p35TelmrQBL6P tSLjN3ev3lvJ8SnHH9A/ltj3edan2NsQ/RbVow+DF5Vdb82AG/A/lZo7nU2h vzV6L06rojkW13qjk8inEtt7hXh+Bf9ZcG+px35PfSbZJXT+Ab8Lx+9l/YY/ YP9lwTLV+Erinlfv673+kXeNVWu9707km0uupXpEvaKeU++d4GxI/VG2b+X3 dNlvrns2vnPYe4T92ozf5EbwL4n9qX6nweNl10Iz4Dx8XErMnWasZu1YYq5U Q9VSPaReaqLeh9j3k9/39e7nHs2yvH2LI3HfE82l5vU68D2z81s1VC1fYH1b 7zfzH3fP5s2FYlbs8iFf6tn3sT+N/+ace/Qi+6+K7hWdjZHLcMW9pj/hEPJc NJ/L2K+Nnil6f+onzY7uaJly0qz+N2+uWzlbyX5pdG6K8WX1RrRMM1KzUjNR s1HzSX9FW/R80LzVX7IwmjtxqL/ndOpZpZnxNbk9QDzj9b6zCtntrKGc7fcT ZGPRs0FvrJH8LhTdG+q5ibJnvua5emxbyRy3z9bvfvBPifeqwcnENmVbM1yz /LXUb1f8X42escpFOY0UPBM0GzRzZhL/IcpNMa8n9st596PiV+4dqeencliZ +g9Wb6nH9PdtrXg2qmd6E//JmrW6UwPuiv5rlVNN9B+nfFXDBvAd0X+zOK0G v1nxX6SZ93rFPaRclNMW5P8DMIcdSw== "]]}]}, {RGBColor[0.4777907857029218, 0.3779823591604914, 0.7885730656781896], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmHuMVdUVxg/IzNyZO3dg5lzP446gBKitmhShFTW+34haNW1SHXwA8UUT qFZao/iqaKJWUOvbKqJiQQMqthUVq2gUbEkoVHmMjaIgUOnDKqAoxX4/v2Xs H+fufdbde+293t86g8dPPn1S3yRJSv3spnHfapJ8R8/Bep+l8WE965qSZFct SYZ3JslHmne1+D/o40Ubp+c+zS8vkmSl6G92JclWrf+D5gf0S5KFGscPSJKr xL/eliTP6v0/Wt/o8H/Q4b2/ngWVJOmvNQ+JvrrJ44Mx/7LmNdzlp+3ew/r9 Wn3WzZrfJtqten6m84ZVPc5oMv3SAZbzFN3/WO2/UPRB4nVUzBmPjDkysZ+9 ec3yTW/yvuNizUXx/qM+SXJC0KG9Lz0cr/mKNEmO1nhM0N+o+P1A3aGvZB+p M/ponFgmybbmJJlbT5LFVd/h4BbzOz7Oaq56L3zQ/QjtndnP+5ljE8aRQd+i s6/RusHdSXK2eG+v+NxNGrfFHNqm/6Pzfq32TtO+66rf8JwV8wMl1y81P0jj RXpe1XyixjGFbTRa4zjp+GjZ41XxKmrW3UzdeWVqHa3XmnslbyL63RrfKaz3 dzWObSTJC6KfqfGzTHbUvmXa10d36NtpPt01v2MLePxX532p/S2a79L8rWbr Dz2it8PE9y/ypwdy6bdi/5zY4rVf6tlT8u4cYD57aP4Lrb9Q//9c46eZ7f73 3LK+gj4T82aOH+1R8926Q9Y+cU/+XxzruR9nrNDdKjWfy33x0xFVy3mSZF6j +SrFTmu3dbgg8xp8F7/9nu40VWtGajxf47OSZ4n2juowvVVrzh1g3S9rsr/f FrHAOSP1HEpcp/aRR3Tmk5pXtHau5o3+srvuel7VMbpXxOmJkvM1jTom+Uy0 NZLjc73v0+I1ueYzxedq8bxSuno6Ne0Wze/Q/CLRT9T8u4VjZadkHJxaphmS tVP2OaPF+QQ/P7Vqn1wkOd4VbbjOndNqH1wX8Tg+cg5xyvyWxPE6LuZf/zcj 8hX+DK/+/e3DHS2h+9AtcUK8jCp81rTw+bmaX09O1Hxhw3w26v6Jxhuq1kFF imnpsN5303td9P46q49kvFTy7l84p+5T9fsT4rmy2br9V276htR6QT89Oufi due4H2rdEYVlOkrjNJ1xf9W2QAbiDr3PLkIO8dmuPU3ko2b7IH5KLExu8j24 A3oml3Deo4XXD9TeSbGONZ0dzkPQenPTkOnWbvvWdI3nNLtmUC/WYiP8UOt7 NKZ6Dulr/zygw++rtaZGTsdXxGuoxknifXjhWHm+y/GG/XZkPufrXI4Nhlft 29iF981Njp8R4dtJ2OSrOiW/Oj/WbM299xONH6bm8XFum7MX3X2a2keeF31+ w/n67Mz1jLwxRrQdeq4UvS56KZkO1T2e0/tknTO/Yru/WXcs7pk6PrgPtqZW PaPnIV3zlMzzBantvCDo2Ax+p/fz+HzMhylX3qR13yptU+yCvrZmnm/WnffS uTdrzd5a84/ccbu27hxBrqAWn6b1CzV/MTVtYdDxC+yOHR+M+KDmfiF+rzU7 7oZI9jO0/pPdXSeYYz/q1LFRm/AB7I/dP46zOJO4QDfkgkNafTZx/bLu+m3F 82KNlW7L+5Ludnir4581RzRc24eJz9N6+knvs0V7RvM2zZ/Q/CPJubf4vCQ+ YyuWnRjBd/AP8sCS1HmV/IpNiEPs8l6zdYQezspcH69suG5MiljATthrivR6 ms6Yrb3ruqwb8gX6IS/Oa7VuFmXeOz2P2t5qP7xLe3dKV7drvE9nfKo7/0bj SYXr7LiGdQ9/9D9XfEZq/qDoPRXLhlzY6rZW2+vk0rJs73L9xBbEPL784xbr cGlm/xyt8a/SVUPrfl/avuTejn62z7yKbUQNpF5iS+J2dLNtune3eW4Uj5cz 3+EFnbulyzL+pPQ79G36/9Ww5VPEsv5br/OmaKzWrBd0MrfNdsffqT09IeNZ Fc/xsVmZMeXd0sOwbtu3V3e4oGr+yAjGBE9i4ytyj9j80Ybx1sMaT9XZq3Tu 9LrxA7V5ZdRlajL/vZs5T63T+IGeXs03anyp3fbFziMK523y9z2F62Ff8Vyf OQY2aHxPzxrNh+T+n33I0tvufEueviz3/dFTNTc+3j93bcGm+CmYAGxwVWF9 kfeo2WC/rrAzNWp45Ej8943AdWBleFCPd3S5ft8rPo+UlnmWxtbcubJNY0vu elzR+HjDtW2OxqW678ntjpXdcmP0ERq31+yv1CBwOP8TR09mvsNzXcbm/Af9 4MI1lFr6QR75LTO+uC7sfqbeXxTfsyLXXhE+yTg18uTaNr8zR6/EHLqFx7Tg M1T7r9d8UGY8h0//WzYamHnNQ9L5YVozS2cd3rCvgw3xc/yT2vED8by3YRnG FsbS1wdORlbkopaBragB1KDVQSM2wQXYhHrzuHTdLr6Padzc7hhHd6vQO7WR XBHYYoXmy5ucN7/Kmc2uNfRKBwQOBA9yZ/yIGoGP4xPkzZNK+/WNdfvO/KhR 5NGRcb95mf0CvEZMHxJx9LfCdWtTHvmz0zkUW2JTaiMY5LzAIeQP8si6qBc7 o2Yw8k5ueTTibkbdZ4Mb0A/6QNfoGX0zx8fJN2BqcD54GV8Fq9NTlDXjIbAa 9fsxjb8rTV9ZN75Dv+j2mrrvMkb//7r0Xaaktj0+cElu7E8uAP9j/57ALWBp 9I7OsQ+Y6ateL7e+Z4jHfaHnm+qWjxxC3obnzuhNuP+uwPyshUbdWR12H164 F+IO95f2R3wMXwMLMxLLWd162Z659wU3gHOQDRmvrRsvQicu5tSdY+kvwVxL I37nBn1u6bUXBx/GS2JOH3du9Oy10vT20vvJA9TLet145ZGww2ntxlKLGtZb kboXS2vGKE+Vni/XvvbIdeS8CZ22KzYFP/ZGbqS3wgfAUrdH3byjdI+Vh29M CPzPOzWtiH6T+oRP78jtU+1Rb35b2temp45D6HNK1763Wx2/W3LjzQ81bikc h/9MnSvxw9ml+xxy3on6/4vMvvlw6RilnlHLiKc5bcY69ELE2lPic1Xu/os+ jJxEDONPt+euv0vEb2bkYfIxGAIssVjrd2X203t0VleHMTo4patunaN7as6y Nvvw9vAj8hU4qyf6X7DSqjbbj5yK3+Az86Mf/JXOfCU1znhRZ34edZB6yPcM vkWQC4ak3vvHhvMLekSHf06Nue7Mve/WoMMX/vSdmzPrfJPGpanteUduOfC9 ZbEfPn9KjSkWtzlvHBTfIj4o7Gfs2Zb7exV6IxexdnVgJHr0PtGnrwr7IPt7 ue8/JPqm4yKXIg/0su7ehX3EHvVoZtQe8MldbcYo+P7I6CWQ6fU2y/t+YACw wNWp92zb3fYBJ2AjZEb2N1Lv6w0/5FsGdZZ80i9qLrWX/fDZoPnsqN3UcPoN YuX70sldqe9Kv0KvwnxjbhnWxLknZPY3/I56Q91p1t6NqeN7Y+FvFsQp+WpD 4Tq9PjUO2hR1kFx1Rsyx27j4BkFtpN6Q74kL+iXyydbdvZ5+gvigRyBGwBL0 5+RtbMuc85bI1/fTf5/UncfIQfAEN4Af6BuOyYxXLyvcJ3DuPVGn+K5xXnz/ 2LdmPx0TsYYOiB/iiBgjTzGnt6K3qERfvynyCfiXb5B8i6Rnm5xbFmRCvkbI CI+u4AMmhY7fgaXxJ+yAH00NfMOzPPojfI012JLvVtzv7dy0UUGHF+fhx9yF Qsx9+O40pGb8D0ZCb/AlXpvjuwq2W1uz/aZkHi+XrqY2TL+iYd1jD/Q/PmyK XOc2nLvIYdDGx/c+sAz1D1/tCRwP5qUf5VsV/kRuntD5zfebCfGthp4AnLM8 +lTWg0MWlZblnbr1gzys4V70TWA9aupbcS79WW+b89jrpW39Wmna2qCD/8i5 o3PjoHPCl+AHX3I62POF0CH0HXEWfRV0MMDQ8DF6U/QPzia/U9tXxLedBxre O0dr72+YN9/JyBljo7cBx42KbyPgdPhQf7nbje2+37WBYe6ULENL04eU7u3p g+iHwAk3tDvXP6v/BqKXurEgmJAegW/DI+KbMz1038CK+GYZ/sn3Zr6J870I Px8e39vrkdfI74NKfyccVHde3SNq7odRN4+kTymMEzYV9gXW4w+DS99zr9KY CTwEVqXuk3+phfQo9Frgeu7MPfG5GYGx6OHAs/PiewtxPzHqKFgbzE2N4V4D 427omvPpEVoirlmDr10Q/sb3Fb5lofNZDcfU/Mzxz55l4Xv4AnHxP5M6Tao= "]], PolygonBox[CompressedData[" 1:eJwllmlsVVUQx4+Vbrw+0L7HffddoFApomIiSyQGWRQJsggKwYSlxeUDAhoQ AoJAgbBFJSxGQBalFFpsQRYBAbHIFjbFIFUqFKFAS9tQSAhlKzHR3z/zYZKZ O8uZO2fmPyfz/QlDxic4545CjaD+MefGwmxNcW4AfE26c0Wpzh1Lcm5O1LmN gXN56BOaOFcAf8l37tU053pBl+E3xJ1rhT4ljC38PWJ0w/d0onM3Is49It5W 4h3Efgj6MfgcCXE+NBa+wXNuDbZLod+w/wXqnmox0jl/P/6Z5JnO+ds5fyn6 IZy3n3yvc1YZNhmc/TrxrxFvBDY/Ix+ARhB7ILQTW4d/PrrL2LcJWw7KpQX6 eegb+PYt+gZiDkt2roJ8HnBWsf6JXNLQb4bvhc9iwsWRdyPXYt8V+wjyDuQk 9I7Yt/FPhJ9LjC7ku48z7nDWmajZqoaq5QzOvBC2GqlWt4j3LP7toev4bvMs 9/+wWY/tCc/uaht0Er7Is9wfQGvQl+DTLdX+oYazDkasVsWNnZtK7A2B3WUj 6Ad8T6Ffkmh38AB5HTbD8X0S+zz4K+RUSLxa8p3G/7WGFsK/RX6NiL8EKksy m8HoGuOTjm8t8eqJ14Zvn2PfGX0x8lPI7yTZtyz43zk/D9uW5L8XeQD5lRK7 mJx7Yz+eeFnUbzjyBOXDt7+JdZgzdnvWU+qth/g0kGsG+cxDDpo6F25Ob6If lWQ5ZyoX9KXIW4gxEDkNmoRuIhSCPxCxuyoi/iecV4l8jPz6U5ObyKuwaaHB Id/V8AnEe5RoZ2YgF5N/CnIK9d0M/xHfytGlk18Gsfp5dnfnkd9A35GYUc46 S06fEasY+QJyObQZPpse2YPtXc7Lx/cSNoOSrYdLiF3h2yxqBjQL99Pt3xbi 0x1dUWC5NIZ24V/fzGq5AMoK7E51t3Oxfwn73cR4nPiVfJuMbhY5Z2O7knw+ Jp8VccOGf9GvhC/g2+hku/NC+HNRu8sW0B70OznzNfLZR/wc4q8g3kzi5WE/ EfvSqM2SD+3Cfil3FgegJj/h3DL4Dvgk4/v2Y8694Nud6m7X8q2l8CFmszoP uav+N26z+iZ39J16jfM3oMtXvdFnI6+Hb8r5jfDtz7fZ2K7j2wDfYir2fHJs ie3LfJsfMkwUNpZHrRdUE9VmFTVclGJ3tBp+BGeepDZh5ATNIv4L1M/416Xb nehuhBH31K+e3UU+OffAvzrd/kVn6mxhgLDgC2K2Jfb32O8NWc+kxazGqnUq NfuL3H5EDsI2U5qtjsSYTO2ew6cTfCtsPoAfDWUiN0MeCf8MPofwfdG3WDP5 1gW+njM6hOwf9C93Yobt+nYX/iZndIYfTH430Hf2zTcCVcQMI4QVSdA55EPY j8W/N/ZXsB3n2y4Qxvf0DTOEHZqhbRHDfGH/H/xvD+0eqG3IMPgV+C2B9fZR ajgM356B1VIzr9k/HLd/G8edfYr9QeR2yH3QR8ntm8CwUz2wFv66b7Ogma+C v0fML7m7CchHyGcT3+aErEcL4XMC2zWaSc3m14HNqjBf2C9MEbYM5byr/P+k mPWWdo52jzBd2B4j/lbkdtgvwv4EcrWwubnNgv65Dt/3Autl7eR34afwbVeK 7Tjtuqfj1ivCWGGtaqxan0K/HX0lct80uwPdxWrfsFMYtgr+gGf/Oh4qgb8P 9UuyHXES+8LAdkcJ8Yaim+Ublk3g/3Phz0ZsF/eBrvrWE+oN1awOXQ3ywDSb Ec2KMFxYrhof8gxzhb3aYdplwghhRa4wKGI7TLtMbwS9FYRJwqYc9LORR3n2 r/egHPhqqBzb49js8azn1fuqceuo7Wjtau2AMPmkxGz3CTOEHTvUU6k2M5qd GvStQzaDmkVhurD9AjaVnvW8el8zpdm6GLPe1QyWw/eDxiTbG6ZvzGqm2rWn B45z/nTqW5Nib4KZwmffdqF8psKvC2yXCnOyOO9Y3Hw1g5rFes58Pmw7RLuk Oma10xtvOfoqz3I9jf4n+HjUelOYLGy+BZ1JtBgniD0yMOzVmyo7MEwTtmkH V2ifI0dDtjO0O1Rj1fqi3gzwVRHDHr1p9LYpjNtbUW+GgrhhvrBfmPWnsDdu u1U7eg18S/wT02yHapdu9G129a0AfkrcdpVyrkOu9m121GO18KfxX5ZoPfDI sx2kXVRGjptihgnCBr05psMvj9tua0K9voL/NWJvU8V4iH9uYL2lO5riGeYI e7TjZsSspqrteeRrnp2hs4Q5t6O207XbNbODPMNEYaN2XBl8m5j5auY87Kti 1tt6A+WSy4dx2yV6kxapHz2rte5Ad9EpZrvtHPrF6HdEDFvUs//4NrOaXfX0 NPWjb7tPO1G7UTOr2RVGlOJ7OGJYoDfuXfT/A+UHwlk= "]]}]}, {RGBColor[0.6090069025234588, 0.6001668217149869, 0.910528843746222], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNnXecVEX29ntmemZ6UvfMdN9Os6sYwIRZDKiYMGfXgAlzWlFEzIoKiqIk QQwgumLCrKCAGROKoKKomNbAmrNr3F3T+3znObz+/rifW11dt27dCqdOeM6p FQ4fvNeJtalU6sxsKlWn+4zWVOpeXW8ovXp9KvW4Mu+rSaW2UvqpdCp1m9Ln Kv1c2vm36f+blR6j9KRGp9/Us6+q0unK21rpu1VmuvIn6Pe8jlTqp1wqVW5I pQbp95XKf1Zl9lH5kvJGKu8o1TNIz9TrWqk5lbq20eVHd7j8air/RXsqtY7q WVH5D6vMyk1K61qapFLbZVKp93S/utHvfVvll6j+21V3f6XfUPoOpbdV+rVa f9M2Sh+s972i37fyW984L+1nntF7BsYzNXrHI/rvP/r9L/3/s+5/6Nl1u/z9 Fb33TtVzi/4br/KtLWqL2pjV1ZbzfS2Vf1n//aRnf1f6ykaXf0vpa1T3k2n3 3RiNwwp6X4Pq+1y/M7r/XWUOVflPVO5EpT9TfR8rXav/79X9CZWZqvSx6p9j dL2n909R+VtV5z/5RpX5TFdBZT7Q/8/r/0P0//c1zj+f9ugbWtWHkxLXd1/a dXaq/f9VGb0yNUB93lPXQXq2t77ja+WvpzJXqexkXYOVPl3P1ujKKL1rrfPn 69kV9dzljR5v8q6K/EH1TjO+c/TdF+v/qq570r6/r/xPa9wfx6U8F66O+ZNo bjyp9jWq3Veo7Oo0UuX+qvz/Kv8OvW+26rxL+UVdL9T6Tp1Dop1DlV5Jfb6i rp3VlrMaXP8JeufQOtfHt3ymfltddR6q36s0eC4wBy5XfzXr/RMSj+e5DZ4D L1TVr0r3z6dSi5QeofR2ec9N8lkXz1ddfmvl/652Do/82ja1W+1ZP8aQZy9X /j1q3yilX6x131wc37STxrOo6w/18TNq5zxdR+i50/T7a9Xxla7fVP950bai 6vlZ37Ei36D8C6L+i2s9rozp26INb+naSf8lKj9Y9fXQf126DlN6FZWZUEyl hun/L3R/Sd8yWent9S1LWlzmavXPr2nnM4Yz1E9zG/3+zdS29TP+nvacn3lR +esq76L4ro4uf+N2BdEXteUQ1pfqbK51mjbcorG+Wdeh+l1WPSVd36mejzQe l+vZr9S2K7JOv6fyLyn/UqW/VP5K5VRqnNK7F9xHG6hP1leZy7Iuc43Sryu9 RNfBac/9scr/Ru/fWc/cxfrMe60/o3duoDLXqP6cvmGy7iepzKrKn6MyRbVx Qc5r7Dx9ay9duzV4vHZnTaQ8bk/rGsh6aHDbeNf4OrftJuZto8dgbb37KZW9 Kee+6dfhNcB8zeqd3+veqXIb6D0bK91X5TdX+3s1u9wY/de3zvT/Nv0+VddY /Rit+jfT/THlF1TPiFqP+yZ6x8a6VlF6T33X/aqvTd81sc713wE9V/4i5ReU f4DSHyidKN2meo7SN7Xr2Zc1T6boXTsov49+f6//NlG59/UtC9TWgXr/Wmpj D/XTlipXUt1bcFeZRZqry2X8+zF97w4Npl0H6b+xabf5vZLmoPLX19jerTb0 U/oNjfWKda7vV5U9OMr/BZqsd77U4mcuU944XXOVP1TvGqlnqrouiPtI5b+k /J8b/O6/17s89VzCvqVrBdV9q9o4W9/RqP/rmvzeFeP/nRtcZpzyx+q6RNea +t6ZKr+5/uul3z11lVV2RsHr7021f7HyVsr4+ddjXbIWLlW5nqxl1Tkq0hOV /w/153W6eoqOrAfd1rO7NPj5FaOdjAl5jMsqKnOu2rC2fp+j+xGMA3NC73pA 5V9SmYfVhq1Vz/LK30f930P3r2mDyuynMgOoh/mu9BTV/4jKT8q43Cn1pulT go5BwyYr/aWuZpU/XvWcpzrP1XWD6N+LVdPDzdUHK/Ms3wVNVnp2nZ/tJ/pw F/M18TqhXf9TPfkur9Pd9OxLfKvSv7Dvx7uyuu+r+3N65kqlv2bP1u9BKvOo 2tyZ8TNbqJ67VX8/1b+f5kh9xrxHT7VhhspPYg2qvdsqParG++bKrFnV81DZ dHULteE+5b8Z73o93pXTfW/dn6l1PXP13mMa/Py9dabH8Cp7Kf1Urb/9Nf2+ WPc1dZ9e5/RmKfNWt+r3yyq3QkXzVGO+vO4p1fmw2vqj8geoHbOUfkfr7k6N w926lqbcn/zeUeleDS4LfzJA37Wfrj6qu07zaAd9+wKV+0P3B/XMtyp3r+qf p98wB93jmvbeeqvG70bNpwkZjzPvYryGKn+E8gsZj+FdkT8z7TbQnpsin3re 1v0NXc/TVwW/9121/3B93xCNxxeqq4/aNkX1vaLnftXa76f8X3RfR2UXK2+B nl0j7Tb20O0Ajee/9N+WSg/X/WXmQY37nL2Wfl8t6C5z6fHghRjTlPr0SL37 d43t2vWeWzwL3/F62u/6VOmP9F+N0sPUP49nPPf5vpnBU8H3wvNuqipX0H83 1/n3hXWmd9C6m/VtN+jZaboe0RikdP+bnpup772Uua+s/TU+6+p9TUHPxgcN 7Kc6L4HewwOnnIb/nA9tafQzZzS4PLTwStVzi967SPVvp/teup+n/OuVvj/S uTrTpx+Vvkjr4XfVc6Hu00peE20Ff+OMmEus+XvTpg/04Yz4dmjEzBjrV4K/ bavxemNOsU5nxHyg/IeMs8oUdW2jd9yg+5GaA4P0LZurT86E7qh/hkAXar03 JNGHf2/yc6SXdphXYM+tdpknPKFgfpA08+74Jj/D8330/n3r3X/094B69zl9 ST59+3G7adU+sffvE+VfUv6Ratt++v1JwfdH1OZnlH5f5W5SeqHec0KDefy5 onWDlF5V+efWOU2ffCu6+o2uuXqmr+bc55oTD6m/91B9f6s3HZivZ09jv1Pd G6XdztdT/n/vetOMw1XXXkovXMY7Kb2c8ibXWzYYrvwX1M8HKn1eyjLBwSEX nKY6D1dar04NrPez45Re3O7f46JPeBdzbDeV3z/klE616QClH9N3NWqMGnSd kvG7B8Z7945v4dmroalq327sTfAeaaenKG93ZBGWoMZuOntvwfvzEKV/j70M PmN1pf+ZNb/y97R5pWPT5pd+VV81a94+qGcn6dmxzBfWidJnNngt3FV2nXeX zR/BJ/WrcR/QF5SfqLwta9wnC6p+dnN947tZvwtebjd953HIuyrbor5aRfl7 6Jlnlb4t57Krqx0nIrfo2fPqnGZvel5zY3CD90Z4sKPT/q6lwYMdA61RmeOD rx6t9KW6Vta3XRDvoa+yXd5TVtB73tXcP5Z+Q4bNuq5BtFX5vXTfGx5Mee9l zY+yD/HsYSq/rtrwal3Q4bTnSV7pV9o9Dx7X74EdnjMHxV59DjJnyvqDs+st b7+p6/O05dZXdX2S9r7PvoJ+Ad3Cs21OD1D+XXV+9lPoWDzLHs1zn6ZNY1+P ekjvGPnUfSHvT1t2/i3tNH17jL7n4yhzefCuGypve+V9qGux8j+IdErp/2is JqquP2o9d46o99jfrufOYn2r2E4q+0XabZyRs9yLbNtfZTap9TpFr0CfdOsW 1Fen6L9N9d8OabeHd22m/3+F11f+gQ3mjeGR0Q3wLvQDFyDbpC0LI1uRhlas k/a7erOmtEf1aTHvP0bz4gfobY3XEutrjsrcrDmxveo6VjR8LZXfAf2Ayu2g tm3PvqK8OZrgnXq+Q9d+Ss/SnN5XfbBn2uVPUj0L4dt1baTyD+a8Ry1W/ulB N1gve9ab/rD/QoP2DNp1i9qwo9LHqQ1Xtpq28/xRDdYTsE+yL3Fnr8yoHY1N 3p82UPmd9Gyi97yATkPX5sr7Ub9/SntPfL/Oab59X3hdlT9Z9fRtdbqovPuV vk/XrrG+Gd97Ut4jf4x6rlXe1Pqgu2m/d4jK3KD77qEbebreddyq9COq7+FW /9eaM33jWerZM/phQoz1WvqW+0VrzlYls3Sf2WQdBPoH1vdNuobVWb44p9a8 en29eXhkGfaQmxu8b0AzbmkwLRmjMdyyzvU0aeymNVjezyh9fYNlw9+RV4PO NCj/H0FLobfIgNDc20UPpir/X0ovrrr8jqJXx7WYDkODy11u51EF04wbg27A O2xV5/lQ0PhM1++BNV4/9DX0kzlyeqSHsuc2WAexZtr71vKwbo3+DzlxXKPp NfqfLaIexutG1T88a33EM2W34UC181bdhzZYTkIe+6bO33hA3rqcXdTmv9S7 ft47utZrjnedoT48U/n3qv4pRffDN7rfwp5Q5zV+deyV6NZmxfeiB9sn7flF /ldp0772Guvr7m2wrED/DYk+PKXBcjgy+NX6jqt0nVFnnvCUWo/1R+r/VTU/ rlMb1lQ/3Bl8y42aa5Oa/PunGu+v7K1D9W0fKV3St36ZNq1E7oBmwHtBN6CL yEXQxnLa/AHP31N2+44reNz4XsYO/QR7KroX9C7NkYbGTgl+5qZajxH76SHN 3vOPUXunqvw1uuaqjpMbPDaMy5JW8wzwDvTNzOgf9hr2GfiQdbKmT501/n9G lHkjsey8TWL9zwENXoPQG+YPaw0dI3rDQcFXsEeyP8JfXKhrNnKV9p3esQ/C T5HP/J9a5/Hm2ZFpPwv95L8RUc9ukaaeL9TOz3VN03vGsL51TVX+nchNjdbN vKA+3UfveEfj2LfZulFo3gVZ36F3azVZNoevYS2e3uB3zqt6Pq+T97rZOviQ GU3m6enz/dWfW+nOtgINODvoSZ9mz7M1aswD0IZpoUMYGjRh/WaPDfqEDQp+ 76Z61z1N7hfasCjaBU+yXsG6o/XynrunBp2phz9sdfseRqcXe+fCqunbRnpu jsbrP42xX3Z4rz2swd91ZnzbypK5RqGf1X2jZvMwlBmhvNNavU+urbbt0WAd ZX2j7+gw0YeepPSGNa7v9FjL6GyYy+htmKsHR/q5qvuwj9r2W9bP0j/rNJku QSPQ+SBroXOawtjWOv2a+PI/9F+6YNkcfcBQXcM0L39Sm85OLOexR5O/gdp2 RsbtnlUwz/VW0W0nD50bNBz7x8xa848XBW93f860BjozXH1wYqvbNzbmG+PL PB0Z5c/qcJp5i66d59C303bqnBv5rBPmeYvoeVb0/Z/6pt1U36MqN5b5pHrq O8zbcuc3OqP7NNZNHZaZHlE7GpXOQJfbnV4dfkvplNIbq/ylLU5fovtX7a4H Phnbzr5Kr53zhY4J+XEPaL/S/1Yb7kAPr/RKrItIb6r7lcj97AEt1mOgu/hB dV7f5fx/6P5v3b/TdZ/qvFt99q3Sd8VezX8rpC1vfqP0h/rux3Vv7jCPcUiH eVz421VaXJ56KPttlKcufiNzbprzt/Fd6Du+VPpNeM2c07SNvqMMOrf3G9yH m6XNP9BO2oX+hW9BJ0N/0D/v1Fq+3ifSt6vs1kr3jW/YUmmRs9R6rebn4OWQ VXehb1NeT6Qv1n1gzuV3qPF9q3h2uub/FsjMWV/ol1EWr6t03w7TY8akb4wL OmXKvFfn+xaRPkj3A3Xl0u6TA3gmZ93FATHu6GMog05mT9330nWI8p/L+Tfp 1SL9Rcp2GMqQt6wdg1PupwEx7r+rPS0d1qXT5wNClwVft3+8F5vnQdG2Rzuc 3iL2c8aafQfb6MEdf5Y9OMos+wb4w1b1bQ+l99Y45yJdh+yq9PJKizR22yfY L9kr54QugrzTdb9dF0sCO8gDkU8Z0n+ovW9GeWRt0m+EzWOJ6p+m+2u6N7S7 HujulaJX1yv9XL3/I43uj/k8NfZf8qZFmaf1jkfiuz7R/dkOy4nzI42cgryC 3IK97CPdn+6wTpg+eTTG+JFIb1H/52/GFF05+vrr6v0c9mBsu+h17lb6lxrr MMmHbg6jXR3WY/B+2gHNZ3+YH+1Bv0KZIzLWGS/o+PO5BZHPs89EedYGc5v5 Tl/Sv+iCZuk+u8OyEPsLtkPshk0qv5zSNRqL/krnoWMp22iYV9jXZuWcDz1u iPJ7ZjwfGHfk/q11raj0X/Xshdh2lS4Gv0EaniOJMvDI9yh/ZcZXZW9pdXq7 lO2c2Dtf17c832C6tIuePaHN+dhAn83ZzoSNiX69p8N2BO73dliXuF2Hv5ln H4h+YL5tH/2wXZTlGcYHW8TdUc8vbf6PfOg4NBF6iK31rzFG2O7/wljr/59z TjPWC6Jtb9Vaj44tH70hdRwacwPekPkJvWWsoGnQov66b8O8Spn+oEdCrwRf SRqe8Efl/6RrzQbrzf6t6/565/Hf12mXbYxnf1feH7oqSi9q92/SPP9i1vSE +yJdO6fNK1EGfoD7b5GGRyDdlfY7vw19HTQK+oSN8HvlfZc1f/t9g3+TRm/Z Q9eIGsu9pJGVuK8Q+cjEK4RczX3FyK/kzO9i6+ReCd4XeRPMAfo03vNDfPtz 7f5N+rvoE75xesioy3SKrfHsHlGOMthO2Q+wn3K/NWvajq3/tqxlwwlZ2033 V9443cdHmrwJYU+FVr8QfPzYKI+NdXLWMg/yzk3tfp5nsTuNjTLwfZdnTZe4 T4w0dvyJ0TYwIzwLXeI+NtLIUlOifnRd9yid1n1m1mmxZt1y7h0h63JNie+a Hvsf9dNG2jqj0dgA8tkT2X/oL/qK566Jd5VijJBHlkZfHV/r9/A+8nj/vdGe GZGuV/rGerePtlFmZuTzP+UeaHB9t0c7dxJ/85TatX9iPUQp3gt+Ix8YDnR+ /4p5+0Gk0QGis3w39Iro/0ijw0SP+o6uszIu+0HIDJ+EjDMsbTmHNOsU3oP/ eqSd90nkf6b7p1GeO79fb3CZLyKf9/A+dLbwwu9FG7ijlzwevqbd30A7Zym9 bdCE7YNuoY/qpuVBz+F7to989r7tgu5BT3h2bM5t/DTavHHadGZ0jf/vH/Wj c10a/Yb+9r1oz2jdx2Rt+0y32042u8b3dNjMtol6jsq5LTtE2zaJ70Uv/bLu i3XtqjqX6L+OnNvDnfFDv3RZzrYAeJU3srYBHxxtJp925qP8ktBLdcSz++bM W4Cv6MYjBSappcVpaEA26AZpsBiUPzTq/jbqXxLvxe58fc6/S2nn0SZs0uAy wCPAd4EfAUdyuNJPtPs7+Ubs0q8qPSLl+yuRPjDtNHUuiPJDlP9Yu2kxdJi8 lyL/yajnoLSxEG/Fu2jHW9FO7m9GGv3Gkkjz3GvxLLoa6kRfA98HrwLvx940 t8N584LngT9Zqnf9S9cbNba1ftTuvf24Wv9H/nvtxjSAZwCrRT56b+xF8OLw 4RcHX47d6MN214MMSd3gtMBogdUiTR0fxHtJ8z6ewbb5VoPTPDst+EL4Ou7w f+ji0IctiTT316MMctrdSj8ZfUU/0l9TOmwbuDtkOGQ5yh7Cnqb0QymPMfog eFp0QqRZs9g/3223Tp68eZF/bK3z0ZOD9aB/KMv9vfY/n3svymycc/vhXbE1 IEPCdyA3vhp2h41brYNG/3xXzns5+zj0n72EPaBfq3XE6IfZuynDno3OmHxw XyOz1iGiP7ym1Xgv9IPwZfBw8GbI4B3tlpcb085Dj3BoxjxcY/ByxXbzezyb RPronO2C2ALhXUnD32I/4dvgo17v8O9xQfegNdBi9mr2769j/rM20JvzzaSH xF5PGfZs7Es8C42aEmPHPgLfylgMDBoL9gg+Flvc4mgDOLjno09ejbbRz5tH Pvpz3rkw2kB9z8T48p57413z2KeUflr3i3NO901bD5qtsy70szqnT0BPpf3r Ho3tlnp4D2RvzZXLamxXxx6PLf6pJmOi+I3e9YfQc+6XeMx3L3pfmK2rn54b p/fOifRkzZmH4Md1v7rL6au6XJ4y7AVPqv6/ZIzvQ5ZEj4DcDWaq3Gg7/0r1 tktdFjwn/CL7PnhXsHv9Q790WeiYVqy3rQj9CRhR8HfbMBZFP/tK0TZ9dCjo T44MXpf9ojHqYb6BOaVdYA6fUDtLGbfvtDrb5pHL4EVoIziEGYEn4j/wumB1 t055/nbqakj7u2dF//D++9utf5iu+63txlJg+6Z92LUnqr86kFnBkLRb74Ae hvsdkd415+cvrzfu7mbmTJ15NtLwavA2zBP0QgdkTE96Rj3UC0+xadTZN9pC nbwbmYBy8BWXxRqHV6T9tBMb/f3Rn/2Ch2f/gO+cmHOafWSKvu1Rpfvrfk2X 01O6LDPQJ+x31+W8x7BH3FfvevvF3kE+exXrkb2N/QP+Aj7jJJX5rsZyNvpr 8uZG/tQog4wzKedn2RPB8UF72b8GZjxG0Bvu+Rivsu6lSJ8Anejw2HIf32EM NljscZG+sc2YKvace3Wd32H58sR2l6cO+GHoPGsWWk8aHfgr0KIOY0NIX6Xr ohrfr4409hbS52f93JSoB3n8vJDBkV/PDxmWdvAfcwp9PLrNE0KfiYyNTnPb dqeRtcFgb9duHPb27U7vje693boV9CqU5RnwKLvWub3gWJC/oOHojjYKDNOC eOeYeC/3sR3WkX/a4jS61rFRhjQXz6AvRT+J3IrOjbbQJrC/fD/9wvv5vmHx jdl2617Ru6J/PiP0CehiyUdHhA7gnNAJkHd25HfbnqI8ugjSmXbT2CmxL8OP PBU8CRg00thJHwu+5bqwV14TMjVzkDRzclSb34seAp0V76W9vIN335uyLgn9 FHr8IbqfHPI7ejl+o4s7pM5p8gfDa3dYR8H7D4k2oLsg/4mcdTPnxtzgN898 Di9R5zTPHtLq96ITQ2/Ae3kne+iRQRuhkUcGr751o3UI8AbgX+h/9lawj7Xw wXXWxewWa2qbdu/p7Mv0bXO79Tb0O+XQmdPf/Ef/c9EX2CPQsdE2ftNv9Fmt /m+P36TpS9LUhx6oNeZqj0gvy6c9vI+8tihDX1MncwZ9UkO0gfp4BzrG2yOf /qHttBNjz3o54+HAwqGf3KjdGFzyNmw3Tg76AR2BZ+kIesI+w/+UW4gcnfGz YD6qulfYM9K+8/uYjN+ZifdibyLNnKFdjdG24cFTQSt4T0fQrj1yrmuLtMeB 8cBGwjs3jjZDn8YFjcI/4mDGKOU+Y/1DIyt672XtxjyAqT613bjqR7LOv6Xe PBrvwIaJDIcMOShkya0ijQ2BvYY9B7maezr2GvRQ7EGUwd7AHlfb6OeRQ3nP hHhXtdVp2sXcQ85BrunVajwuedTdN+o/IGd/DTBh77fYf+O9wDVCo7G7cNEH 8A/8R3l8SLgfG8+yT9M/7Ln0G89C/3k/7wUDzZ51XaQv63Jfje8yjnJw+5/v HBzPUt/A6PPP4YdbjbHrtqPWmx6i/7w/8C7rZa2bQ7d2ap15s/exTare3o3G ObCmzgg6xjypj7md0jOrNhqH+4vq+1/OvAs4NHxUsKEv12zfHvx60l0uf1fe WCT2Wmhaj1h3rJFfy6Yj/ykbFwEmApzDQ3qmv545opJKPaj01uj6lb45Y2wD mAh8Td6qM8YGfDYYErAg3f4idfYHua9iurO4YD0Q+eiI1lbbxiu/Uxvhb8h3 en5tfH0ybjPfClYE3w70NDNb/T86c/wE8BfYSnX/pHYfgB2obHwi9n5s/Tdl bGfH3r67fl8VfXJjxn4WYIK+hiesNcb7J+yBtbaHYpf9OezR8NdXNNr/6OQW +zEx7kcz3+qMg5rTZloAHYCmQlvZ18rI6Fn7bCGPIqci86IXRF+GvnCPjP/H nwvcInqK0WGXxF4OfavLuA3wpmBdwLmAZwMTCp4FfAJ4bcYOfMKDJdEdZABt lv+qai0qfY3Sj6j+VZqMnR9Ttp/RWN2/0zz6d86/lwt6Dp2HD4U3hRc9qtZj jW/Wt9ixG43J+muzfbToHzA2tAdsAzL+iSGz/DVx//9F97Gt9t3iGxZnbPPD 3scax+7EmsV3bCm6hhpjTn6pM84EHPf6aWO52QPZC9kT8cfB9+OmlHUVrGHW 7/l58849il5Xv0YZ7KrMSfbBN9WWjRqNqwCbBnYOmZp5WhNz9amSfcr+l7ec x3PIgBtEnfiMfBq6OvRRa5WdvqxgbNvFYePeK7GsuXPRPDF6HOjePjFfkB2O if0b+ReMCmW6cSp691pKr1g0b4rdA7w88tbmjZb/xmXsM4XvFPZzMGTgxx7K GXMG38g4f5szbuyMFmPTl+lFuKMnAWsKVhVM7NiMfa/w2Tq80fZLdNpP503n ntA3tqk9Xza5H9HpottFN4x/GGscDNIy2xi0bpbeexm+K03GSZ8Sctkase7w LYIuQh+RW+donfdXPS/kjf37JcaR8RkSYwRfw5jCR71UsA7g5ryf2ybywciD Qwc7XWm0fEy/8Vz/KAOeEVzj4rA/YlfE/vVxh99FO7/Tffla4zrAu23YaLsA mKjf6oyLeqZk+1jfxFhLsJdgKRkX5gTzAR0gOgb0QuiW2SfRc57QYow1mG3o zNt1xiGNUv7FLX4fa598cJvg6/o0Wpd5QpPnBT4U+AWA7TsqZfmFvRR9FPhU aBU22Q1Ehyfr2R5q5/9Kxv1/WrAO6p06Y6ESjdWoRuN24EngR8CsNtPetOcZ tKc59o65yJJZz1fkrCRoFzgjyoNV650xZgbMDvh6sCLgS6DHYM/A1SBfYfdD 5/ZIp9ad7muXjE39Z53xWPhMgIHHP2Ji5k+fyJvQfTWbxtD2i6P9W2bsl4nf Avoz9I6sdzAE6OVZv9Cud+usg+GbeBf4W7BOl0Q9YJupE4zexvWeE/gT4bNC v4G/7d3l8hn17f1ZY/X4dvphzfiuB7PGpHbjUWs8TowR8sj3sV/vFnzcMmzL KqHraNa6e6zVYw/WlP0dGx92EOpBxly7xTYXsAfoTVnn6ER5N2u9R3wXuCww S8hZ/E+/H6/++y76bhG+HMp/UfeddV+1xfiOW/Jea6w5dJ7YjcFIoLNdhvdH h859LfbfvO1++xW9FtaJ+YM+phx07NmsfQfQ81RKHq/PCtbxwIOjL7pK+ddp rj+legZk3Hf0G7SwEvX8UfXcuyHvfgPHg8zSO7H+Zn0925b2ngKtQ8f2buxZ YKDATcKr4+sBnhc87Uctxr6AY9mpYnzMDrofpb56JWOfML6pOb6rGy9UYwwk vmLDGm3PAot+TviOgXWFfkCracvFQXvRj4GZmhttQw/4bY1tWdi0qId5lIm5 BP1OBQ2fVXVbLyrbZtFtw2gwj/Z+rP096+xXhT4OrCz8ELzQhpEeybh0GZOW Tsz7wmePU5m/1dkvrNv/quTv+k1jNKPqfeLrgnkW+CfW/r6xp7DHnVW2P+GZ ZX8//YK9j/4bFj51YE+/iTbAv+HbhU6QOQ5Gknm+m/pw1yb7eiLXj4x9tiF8 6dA/oMsAL/9NyjQbf09wX52RZs2yn2wQWNa+9eYF4f3AO2O3xmZ9rNq6u97z rr7riFb7wYNpR5YAbw72vqvZuFv2u59i/2K/+1uzn2WvaAtawd4B/4IcD9a9 1GyfUvySnk6bxuILABaQ/r9H+bVl+7d/VTC+AJwBWAVwVGANwIfg24MfEvbx JL4FnhbbJP3E/sK+iU0aeyh6CXQS+O+vqbEeozKtGuuFGp8hGdNH6POYaBvj dHrw9tRzWuyJ2I5PizqxL7zU4H7rXXb64oLHED899Lr4XrXFusOe/lrwKtAJ 5gi04pm0/QdpG/QWvxd44jtbjW0FA8vY4jfF+IILHaFrlzrHLuBd+AP2brbO HEwvuOP7AxO4QuAKwAzgu/ZE1AMPgJ8Dvgb4WFE/vlropdFnw+tuG7gF/BXR s+BThC5lzSbbLdDbII+id0QmBQ8FBgh8FH6ftPtr9pGycbmX6/5rznIdv9HR 9om+WNBgXpv23B3fhCzzbME4ienwmYn1r1uLpi0smc+/Vulv9P+j9X6eer6N uvDpwbenDj0kfGCjbQ34bOLjt23K9B6fh4UN5kPgQdCro29gX+fb8MmcEXz4 VaEHRb83VDS3hX2qYGwFdhfaOijjdtC/0BJwk1ulPMYz4r2doQNhn3slytCH 7Pvs+fQDmCnwWFvq5/kFx+T4pNN7N/s2NkRklG/+z/deUWe876v6pmub/N/P zfYrxg4AVhp/HuZBjy731Y0F9wffSYwIsA2UxV5wqcbqkpwxidhunmrwnF4l cfo8PTs4Y19HfG5OzjgmBX4w8FfwVtj+xmS8T9GnyBn0E7gX8GD4UIPvxlaF PgUecVKsBfDM6OfRzVPviU3m/9qb7DuIDyG+gehdGRN8TMGQww901NjPBh8k 6A+yD+2i33ZNjAu8V+1fo9m+vciVV4reXIP+I2MsKphMsJkXa6w317MbaL6N VHpTpdcrGhP0Yth+FocNYMfQQ8CvnJSyvQlb07I+4k6f4IOAbzh84EX69pHR v9jtaD/9g7zxQ4NlN+KW7Bt8L/w2dVFP/y7Xs0PieAnL4lvQz9RxYsp+HGCU 2WvpA/qSfninw7pjcFn44eK7+z57tOp6RnkjCvaLwj8Kv35sE/TbwJi3B8fc Jv4HeGvoMPEJxoeuAb8lfDbYd67H5zfj3+vnrKPEz/PRkjFiPRPLFxPjXacU PR/uUxtO03ifqmsRbcnbVrlT0TYfbD/YdmnnxNjnVm+2Pzh6g39g78i4ffin D6gzjgjMG9iGP6J/6Wf66rnoZ9bphLyxFdsWje8A5wF+qaHVekaefR1fQrVt vMrkdZ9fbxzIN/r/6xbzEWtljL3HvoBNgjYsVf1/6fKaPLngGDV7xzp8JtL9 U/Ydpw74kDFB07p9D3OmW2Co4AtuDpmL2B7wE/ASYAPBCCYxXmNjT6cND0Q/ 4GONPgn54gJ97yb6vU7RfmbYK9n7sRXAr8Or75TYNrVd0fw7+UNU5xi1Z7Su fzXYVw/bKPv7q2G/hX+YkDN+hbk1NeYkfhPIwvhlYVOmPcxF5iGYfPwu4C+J RzQn9iliC8yONPa2faIN4+L9G4VsQT46wwHR73zvziqzU86+dOdovM5usn8y vON7wcffEu/FF6Cm3Rh0Yh6BQ8CGdFjsp+yb0B/qoG3sd2skppdXFozjJs0+ t1vONlH8IJ/P2Y6BTWp7lX9RZS5S+fEZx3jB/5w9HL9r9Kv4feJrAU+FLZLy YGO2jfgE+J+j60fuRfYn5gExEJABwQnCB4AfpD/pS/g3bI4vNBjrQnwFeGX4 5DfT9oXHdvwZvh4Zv3tmzj6N6M/xvZsZfBiy+vTg7+FJ2LuRnZ/O2a6DzQ7a Bd3CTvRhh+ce9qmXwtcY+r9nzrL3vNgXyDs/5XXBmmD/pa37xpjOjP6hDWfp uTN1zW2wvw/yBrIJPjb42sAPb9fl9G7q78dLxpr/N28fbHTnzyP/JZ4/VxW8 BukT9kTG495I833sKXzjRVnjRcCKJGGHB3POPrRrrPH3Y1yQR9CZgclCBr89 6mGNt3eZdm9bsG4LHujtkMHhB5HHd+hyzJy9E8fBuDueRY5dI+QjYj/gc4L+ EF5096gH3SZ6TTAMrMc9gs9jTdwSY7F98E/wHo9HGXACyLDQFuT3T5vMM1AO n2Yw9ODn2XNuijWLbDc9aBF32oRdEuwQPiHoK5dvdT7trAbOAlwDYwJtANuG zRlel/ZB49hPkYlmNVv3iw/o4KLtNKeq34ZoHJtU5rGCdXnwsvCxm7baz5O5 Dgbjtvgu9kT2Q3j+XOK2nVEwzborePhZWecjf+JTR7wSvhPsx51RZrP/Yy/C txqsOfjnt+BnYx0liefm2QX3O/VDD6Gtt0d7+rTalxV6jV0EWxo2NWIkMe7o DPNZy+nI6+wF7APITcvsvvT5iXnjQx/Vux7K+r3I6uBFaSM6MuyK2BexUWKb g3/auc786h11ln/HRtvYL5DFkYmQjY4tOV7TgsSy2HaxBsFxYJNmfD9rtJ6o 246T2Mb4X92fhLes97hPVvtmKv1W3jEHkHnhm/AjAUcLRpi+ps/Zm+ZnXZ54 C78nxmf8k/gJWWMywGOw77L/Dgiemj0P/mQqPvIZx267RulKxvFQrin42bfz 9pscFWN8g9JXxF7OHTkMf81lezN0gP0YXgE+Ad9JbALoKrcq2e/iyaL9PekD dGXwAvCtPEPMMNqCDvb2sm0eqxQcc4V2YRcAa8k3gj/ZJOe9p9t3o2o7xGoq v0HOvBTxUPDlxGaCrYrvp73sTeCvwcCBicbfB70VMarA/YH/Aw+IzPFByF+s X/S3yKo/h62iuz3t9mnCtwmdJDQO+oaNCNkJuQn7CbSGNrwd+fQJeg50Lug6 8D/FtoYe9fgoD13C9x35hzZs1WV5bevEewV0Chr1adX2pE8Sj9XOwfODl0OH DT4Nnh3/InypkNdrQmb/oWRd4Xcly0vIjOire7SaHjEv+xZt59q46HZ2tzFl 3wV8GOBTW5pts8N2h+8a2DhwiMhbyA3Uu2u0mf6pBj8ObcRf5sPAanxV8jh8 qLn3pL7rC9V5SuI9mDkGbX+mom9T3cPK9u8gLiH6FHz50SuxHsFTDA5MxaUV +3q9VDafgm4IeX+v0BdsEzSHPQD6g36G/ZW9FRsY+n+w9Phs4buFPXO5ets2 0PPUhM2G9Pr13tvwqWdvR0/A/o7vCXgddC7Iu+g4unEdtU4jB8NHwp+xv+8T vBr822tV+6cfWbD/InZK9FToeHpEGuwKdALZCoxzR+CciRdB7Ef4NPj3N2Jt ghkZEriRcRXjRF8tWy/0RrR5eMSaoL+wO2F75XvQYVAffB06LfTgywdvviTG 6MVW25HhW9AlIV+hb6e/nw4dF756+OitHbYF8uEf0MWi90SeX9BqG/SyOBnc GaPRatuW9eZX2ZMZO/YLbI/oArC3oo+H3iJvj6y3LYb0RfW291E/8viSoEXo +9H7s+6Jj8HaJ03czZ+CVzgr3vlJrGXsMehHWKOvxrpARwiNpcwgtXNYs316 oG3wE9A3vpW+4HtZG8itPA9tWBw0E7qBrZ33Qv+gO9Ac/CPx2Xsz6MRLQd/O if6mTuJgYEulbWCe8WcDK4xMj20cuR7dGDQH/Rg8O7IEsgP6EvQmunXHTiDe Dvbd95u9v7K3wi/AN7AfzolnmRfEVyBOC3ahH2NtsC7uDP6AfR5bGTIt8uxd kc8apJ5Vog0/xbMjUpbtxkR7tstZB8dcPFXt+bzR++rWFfuD9dP96ap9tNcu eF4Sow8ZAXqLfgHdAvMWnSzxIlhH6Ex7RFliylB+drQH+X/Zf1ND7ihEeegx mAV0aOxrpNnb8N3E/xGcEXwicazgFZHD+XZkf3yZeS/6AXTS8OVrBH9B3zKf 4YXha1lT2Mzgz+DNaNvQ6CveybvbY26TZj6DdwaDi+5kSjy7zK8fP3/SF0Qa fhq7A/7by+IFkkbWI04YMVLQ/W4UcUX+nTbmmTgh36e9vtgbmP/d+1jMK9bZ F6Ffol7kW+wa0EB0jtAiYjcQw4F98JdIl2L8a2MO3BvlJ4XcOiD2kbujf5A/ jtTYL1KbDq3Y3jM1vhd59pQYx1EZ67TRba8bcV2+SduWODR4qq2aHJuNZx7N 2K66b637lf6FbhALhLmEvQLbNfwovOhFGdv+sK2tpnk4Ruu/Z9V0jHjBe6U8 1tBMbBDwJ78GjwJ+Dh0f+j1sb8g5yDjQRp6FZrLPsd8hJ8GH3Rt83V45y4rQ XHQ81ImeZ/ecZWxoKDpOZPRvQv5irzoqxpc0e9a7QT9PiPx1oszEWLPM36+D b8FmC82E9h0f/N5vwfMhdxMXCRnvEI3HQmIRVCxDUyf8/yL1Vf+MY8VBq6HF zFt8QWgDcwZ/B/LR6U3KGieNrxvYG+o/OmWfXOz0+LISu4V1hJ2HPYi++pvK rNFle3Bj4jgF4EtYg09n7Bc2IWgBMWQYl1yksYthJ6I88U/AULCW0S0RYwb7 GWXAZDFXoXns1cyH7vixWftU4BeGPme5oIfETCKNbufrqId1wDvAtdyUsq6Q NPThiLAfwtuwFrmzHvEnRieOPzE+3/iAY59gTmLTWsYnkKa+XXLW9bB34sdB LFb0LeiVJ8bcQ36C/mMDhTcZGLwQ+kbGCiwF+BcwGbQT+x52HWw5+DOQRh75 JcowZ8ADgwWmLvBFjCO4989jTTHu2NyInzotZQwgNuV0yGjYtpHf0I8yt9Dn 3Je13x94+VJgNrET3xZzg3JgTc8K7C44UvCk4EuRAbHBY6tAJmWud/dn1vhI 8Iodgf2EXuHnS4xT6NMKmYi5Wme8A9gGZMn/JLbX/5S4j16KdoIFA5sIHwFt I14qtA7MPthEbInETcS+2K56rit4fB4QD9wr45ikxEYFKzYo+IHlmx3DGpkL uQl5A1mjEvhTaMb1Ba97cHynq/0vxlq7oWA6Adbv0MAhg21Cl8z6xJfkAbV5 DrJmvdcr+dAB1gSxlpjz2CiJL9SNhajzOIOJogyxVllHxFslzXoCQ3p74DvR V7Ee0FmdErwC6wJ/Q/AY+C/Aw4JtQS8Ezor/8IUktgQYBMp9kxjP+FVivyVs kPgu4d8JfhBbJDhW8KjozQe3WueNbr5ntAt+AJ0GWA10JdDCxfG9+CcVYh4g x4MrR+/BOHbHo6yxvoe4kWAgWTfYmlg7xZgvlGGuUJ41ji2Atch+MTDwAMSm O73VdgDsA58nxuJ9mtiO+l18C35C2JxYZ+erkyY0m4Y+kTWGADsU8uOPwRdu nNh/YjPJbhsm9u/cVOnxbd5TmCdgFKG5+M0xj/4TPCjzGswKOsMNEvuF7C/5 bGqraQf+X48UPCbX5S2r7hB8LBgbaDc+a8gsY0NuQT5AvmL/wg8JXxLk+Wvz rof6uv1T6o3VWJA1rhLdNXpj/FbIx0eAddyN62ixvPBt7J/so+AnXylbf7S4 bL0P9GMwvjlNjlXHvKVtxCGCT0TuQf5BFsP3B705fk/oUmgHti5kJsogHxEr iO+CZ4M3pB7o7aqJfbnWLVo/A64F2xhrmLXDPoO/A9he2oo+dXKsZXx9wNPg 7/N4wb7s6bzjS6F/BwODDntRrFPoPvpBdIPTcvY7RQ9OHEr81sAQLovRzFwE S4v9FDwtvqvgTnmW+dsr5jD4PXDM+ID8ELQR3oC49GCZsaGfXTHu+cyKfQ2o B53MsJBZ4GdYK+Bznkx5HnHvwZ6Stf8bequeWdvGeR49GPMYW8u5IVvBS4B7 h48Gu4YekzV6ct7rl9hM7PXYm6Hlpyh/zUzEnITXSOy/NaBkmYDyK0afEFcM /g17H3ogfOHxN8IGgP0E3CBYOujAJ8Hjwuewl/4caxibHns06a0Dp48tAL4O GQz5CzkSeRKZbmnkI69BB9aKvZ5xZXzhtwdFGuwQQs9bwXsvjjS8E/wbbYO/ IrbR18GfsOf2jjp7Rt9Ah8HdXxbY+2p8N3sQPs3ENMBW8WwSZxAkLgef83Ct dZ/oQLdKmabwDbQfPPwJgcNfr8t44K7EdB3/Q2g7sWJID08ZD/R4yOmvVM1D Hx66X/K7scSiZ0sD99wnY/ww+voDc8YKY5No6DJm/sWCbUfsn+gEwFLiZ4uv Jfigw+L3q1XzhUcUbBvBRoL9iDU1PfqZtcsahg7Am38fNIH+ZR6wjxN3CtkP uY/YyG/E3Pi21fgzcGzYicCgsTbZM9+M9MHhp0Fb8SGdGLwffBS8J/vmWl3G EXUkrnt48FrUMzz48BfK9oW4sOxxQA/Jvn9pxpjbq0PmXxr5rAHsW88Gf848 fC34UNqADqt38L/MxfMTxxw7N7GfF35f2Gf5pjdj7k2NOpmrX8a6QK/ydexv zKtc7OlghIibxF4NPpCzO+qDh4GHRj+PDnOt6G9oKTY8fNGhXcgZ38Q+DR8B b0F6l+CJoKXo2bELgn1C3w4/CAby5yZjJMHJfhdlWQunF1xmkWjFmWHHY1zB XJfSf8b+hX6C9wZHjO0NnDDyIjYXbC/YkfFVZE9FJsbmi00ZP2LwANjjmYPE CQDru3KX6eyCgvFIs6LNvWL/h/YiT8MbYdNDt8NezpojjiB9Mj5l30rsnWDJ f4wy6Irx3S/HN+DHiS0cv85l5wQwNvipYJvARnFWwfzdS3nvD/A07BEbZrwf sS9hL8dmtk3KmJTtwwa5fpf9TZZPHAuHGDhg0SZGeexr9Cd6HOR3MHGkoQPI STUhK/XpMh+7UuI5Ce1gXYDPmh39Qzwn9rNl51pwpx+wZxIzFBsr/nT49RGL AN0gaw3fnGXxaqG9g2OesPbxi8QnkjGYG3wuGF3WJ8+iDx5WsBzwSt50bHLM h4GR5lseLtgf90WVmV3xXHmtYD6XfPjYqdFO9j5wmlMjDTZww8AHgp0HS4dO Hj1zdzyZOueBPWI97aw97FDRx510v77Zcf3QIYFBfSdwqD+VHNv2m7x1Zujs iM98QMm+XEPFk0xrdsw+5OClzS6DTo/YRF/F2ULgBnkX2MFeWe/T+Kmc1OJn KE/cavyZTi9ZT48+Dl3cqJJlu4P0/8Ul+x8PyBsPgp0SG+WEOBfmQrBDJWP3 9laZkU3miVkP+K9wjhFnGE2K83euTnz+wPBm42Q+bHIcXmLwYoMhPjkxPS8p OcbMIXnHKycfPhw9LPpYMKLjEseFugysfqfy4Pf1XEvWfUo7suFvhu1vsxb3 AX46fySWs2qKxtbiBwWPdBb4f5U5s+R3Hh/tmZtxPvok7BRjw1ZxtMqNIb5l ybZAZNjfEsdvPz5irSOUU2adjO11U5qtR/4p5M3ri8ZqgLdAJ8+ZEn0Cv4HO Azw3+iSw1GCqd9XecVLZZzYUdN+3ZL+9E1XPbUXH3lip4u+nH84JjC8Y3StL 9ktin2aPhq+CvxqVdwx3/FdOY37q2kf1lEu2G2E/GqB9+HalT1P+hiXzlvQF ugzkCuSL0Xn72J0YPne3NBvvyzwk/XT8Pjf2qRGJcRfsU+zr2BKxKTKW7JPI 3cemrBPDBwy92IiyY3t8pvubedu4ri4YT8Sz2CI/B1un62XaWrTfZz7v93wW e+IEPf8tPi1lP/dNvHeDNqepDzsufO6Ugvkdzj5BbwheE9zmZeGjh60X+w02 V2SfqQXnvRg2YPTM+Mih610U+cSiB4MFFmu7xHZfZKmnCsYhgUeamPcZQcwh 7G3gCojjALaAOl6Ieo5tdSwVZEB4JeKxokfbgTHDhlS17ym8OGPJ930b33tV 2fGTXi05/i7+Zr1izODDlp2JRJozjzjzYavQyV7MRo3ONPH/u0WZC+MMhRH6 jnr85tr8zNkRL/T8oufl6KAV/834PCfOKSLW++hYX6yzMbE2i6pji1brq9Fl nR76LOjfhi2mk8jJyMtj8xHnssVy/HJZ464/DD0O8wqbEHPh05gnlAF7z/x+ s9PzbmFn+KG2mHet6/K5FXfm7V/FuVPsseBAf20yj7y/+voBzk2oem8F6018 Oe43RBoZHr5jTN62UGIS0W8rx/fDS4Djntps2xux+zaN+LC9S06vUbJ9n7Om sBsTi7irxXHjLm722TzoOD8qOX+83lUHNrjFsjZ7Dr4Y7DsHhM8NNqnH9M2b qC0Dyh4j/kd/eW6XefuT1PZ1W2x3xj/lj7z1G1nRnJaKz+pqrTg+LWl0ghcU HdtgXqfxIuA3ztF9eNGxEPJq44bNngfoVc4r2n89q/yRzT6jDr0G2FzwpKsl PiupNmhsY2BnGMcLC8abbKQyFxSMJ+yT2A+EcvCbjHljlH+u0/H4l6/6/BVw BzeUQifW4vj5xF0lDZ/P2gCnXVb6w6rTh+u5a5sd15jYwc3RHt7JvSneBc2l D5GVPmjyemM+MM/HxZz/oOqz/w7L+zyi1QIjemmUYa86pcntoA1Lqq5/97wx NfQjffhR3rZ4bPKMee8Y92/1e03mfd74AnzKwRiAz2VMwRija1wU+sYv846t Na/iOngWW9WXJfsTfZC3Po80MgK6nN5RhriJzF2wQ6uUHCejD8+VvM7e7rRs sUo8Sx/3iT6fHGeNHaXvq231Xs4+/pHW1owWn9XzXOJ9df+y6cFp0Vfg+xgP xuLT0MV9mVjPiL7x34np2LDYZ39r85k0rFFi5DDnmG/Eobmg2Xw6+JoLm23H RZ88NHTKYLfBcGNj6og0+9hgfeMV4K5Lfs858a5/JY6d9iFnqJWsKzo37/2f Mti5sKWeHWnwF+C3sTEzLqfHNxJbhvrxozqhZN/MJYn9M0njh4huER0jumzq HhZ0+/iSsSTZguWXC4MOX9rl9ENF281OiO+CJ4A3eDRv31/OOQITyBk1g2IN 9mozDWK/e6RkXvSzTrcV3TRydK+Yuz1DV00+MvJjgZcGNw1vyNjCH+KTxLlu +K8yDpz5xFiAaQPDdmbBODkwYKfpvk7JdPuVTvsc4nv4KDS8xePFerk01hA0 dmi0h3zw1PDl8OSHBu/CHtin6NgSGxXNK8Mzz82bv+Pb6WfGm74CM8JZZKOa Ld9ih+SsKHwbT435yfcOKTkW4BV5n3sGvYZWEzP7uubQUyh9UbNlP9b9pUEf wJsjA8D/nxLzsGfoS9hHkFfxJ+bMxe7zSTtNe69I7DsBpgfMwuZlxw7/qdOy zKjwUeXCXxWd0j1Vpx/q9D7AfgEfiY2M8w6xkxGXivhU9+lbfi55L/42b9w4 mDPsnIfqXQ8p/5Cy/T3w+9hU6c3Kpjff67lCyTTyo07/R5mPO037wbqBvwCb hB849g50wMRex46BnokYCsityL7YV9DH3l8Jv3HVt1OrMU3QuoWxvzNfiK09 PGj7xmXHvT6j4phC+GzD88P/c2ctjCs7pn1Rz97fYr9o1hx0Hb96aDtyEN8L D45eBx8zdDjw7vDwn2uuNnb5zJFZec93aNqDYTfCfrRq1fsyPrHszfBW04K/ Ai/Js+wvu1fd1l2r3vM5XxCdwRdBtz8v2/cFfxniTrzT5O/hWya0em0w/+cX Xf+zRftnMtaLO70Hsxf/T/PnuPCnw6+OWPicvYFdgPj6nL2BvhIfBnQnuyBj tToWHnYEzuokXgZ6Kug1dHt+4ov0E0Xb9vGpAyPRVnLMmK8T2+TxZ8aePqTs vprfaR4FXmVS1f75+OlflTedABMJ7gbeAh7jvMS+PFPC7+blTtMXfB9/0Xgf rT78o2JcGjzZubo3J/bva9G9IbE8hi36hfBRn6XynUXroU5T/juJ8etHK/2i 0huBG1I9byfey49S/lZ5y2CXwsNwdqreu6Lux+Ude/45lb8/b70eutJXC9ZL oJ9oT6xjRNe4KOo/gtjvRcvSD3NeWWKdDLqZctF07XSll0us80H3U02s70Xv W04cH4Pzfok3gdz+nOrZKrHcAm5xzbx1BGD6tkgilp3yN0+MSeIswU0Ty2mc W3h83phGsI2nhR4EHUjPwFSsovvqui5Tei3dZyamdwd3mZfE/oe97L7E9tqB yn84sT31MKXnJKabh3TZb5jYecQFwG9rcvglgQu4Mtb1k53WJ43pMn0aE/IC vMZlwW/gq8MetDix/z9xAF7V/aHENP1QPduj5LXyleq7J3jQg5R/Xeg19lU6 XbScP0Tp+qJ9505Wurlonn4oceaKpvWnchZB0fzKKUrvmfcZsUfqPU8n9rGZ p/udifmSA6lT/XWi+q2JvkzsN7uH8q9PjNffj/NqEvMuAzhPLDHvsr/StyaW IQ/o8l7BPIdG/H9MsO6TyqYVy6kND8c5j5z3CB+NXyG6U2Ru8KVgnsG8k+Z8 Ru49Io3NgphB6ODwMcP+tlZizDrY9WLoS/uGTIdfN7bBi/LWx4JVAj95e954 pZkV8yYjg1fpanX92Di4VyKNLg/d3XfQlrJjB/QsmydardX79e8F+8Ct1uUY QsQwIvbIgrJ9xP+edzxIdP3d+kzsKfFdc8tOP4YOJme/KXymppcdo/oDdEiB fwYHjR2GtoEfmxL9MyO+e9P4dnTZ6LQnFNwnm8d7ie25eZRhnREfB4wO64+Y PmC1OPMSDPWW6PE6vZ+yryL3g6WAd8H3Cbtcr8Q6YHxU0APf1WZ9BDoEfHQ4 LxkMODqNlyIf/TL61YkF570c+WtXXP51ziHKG4c1o+LYA9hosc8ih4H/R6/O HXsuY4mfITbV1RNjVzeK/DfgCZR+vey+2Sy+nfmwwbJnW4394n3Mx7Ujje84 ujN4bOIQU2770PlTHmwtNl1suxfmnb9WPIteoV+8a5VWzwfiqqHrJq4VOvCJ YfvhrLS2is+lri97L+kfupd5bZab4NOhQVvH3oefBbI6OPyxXY49NbrLsl23 rKV3raK6TlT5gwqOQUk8yH8UHFeEfPSQ08N3eF7Jc3lwi+czPAXnN+MbhT8Q Z+Fgi0HHzFks2L7wp+T8G+yn8K4nRJ3UcULUA/YT31HwpWAz8cEGBzgr9DfI THsUHKeU86XhHTgrC1ssfOixkUYO5lxe7Dx868GBleH8GOL49qj4TE1i5O+F X1Kn9Y3oHTlf/swW+62tV3Z63bLx6ui48evcUL+HISuWjY3FN4E1cH/VZ/12 lbx/gg/DNoacg7xzYMGyBDFPu2OJtthnHowzuslpocPi3CrODMPOypivFOP+ j0gTP/ZJvXtlpZ8oO2/lKMPc6RnzB+wtfptg+ZKC1x5nOGNH4GxZbAfoS4lT Rnwq4msQZ2O9xHL2uSFH94m+Z25zRjPfjj0HuoPPJnI8ZyvBlxIj6OlO4+Ya 1B9PdRq3uEbV7zk53oUfLH5JT5bs5w9OZUDi+Ef4dD1UcAwDbAbYC1Yv+/nV yrYXIXNgb3qk4lgJ7xSsz+gVOo0+yr9W/bCj8q9rNe4EzAl38hnv9VRmMtjK guNZgksBz3ZVq8/Mg7d7vM35lEfHBH+wRtn7Kr5b+G1dE/VTBnllx1bLL/DI /ww9DHoOZAD4f+rmHfgPXh1p3sV9cuRvq3fdAQ6+Yh0nzxBzYNnZFWCYu+OW tXp9b15xerOK91KexccG+yT7O7oIeER4xbzGea82zyfmEnPm+tiDNq44fVjB cUqwi7BO4RXgGdqLPqsKrCo4VWKQ0h7aRcwsfJWyGscz8o5rOK1gvo84U/jh ndnlmDu9i+b78GPHhx29APIqsiq8ITGk8DlDfp0Y+fCV+HPiO3hh2LJHlo19 AwO3R8pn0hMj7WrdayrGxJ2mtozqMj26uWh6ic4amvmdfn+h/BF5xxbiLC5i 2hAXhThXrBX0YUubbHv+Js6q+xj9Sd4xF39OjI0hHh34mM/CRvBJ3jrXD2JO EoeL+EaFxOd0YXfH5n5Wl/eOtYrGnnDeGHGN8FUnRhZ+1MSIoJ3EiWAM8SNl bDlTC1wymGR0JowDfhZX522zw3a3lvphEnNMY/Frm/VN04Kfg6+7Q+25sMuy 7qiifQTQs6BjQdeSRBrejvS0xPrsX6Me5Bx4PHRT+GvC+6EnQV9VjfwLuiwX XVQ0L0j5WxLziJS/MbHfbWfoXuAx8c/Bxgb9R4/PHvBCzr6+6OaOrnp9Hq77 VcgC6rOmvNtIHGfaMj9n/5nW4I+p/1qVnZezPy12xPHwuHq2Uc9OrxoXvH3V tj74W+x9xKatj3Rj8MDwwvQBfYE+Eb6W770N3WHe5xXspz6vtlhXhs6M2LDE hUVvxvlqnLMGZq+j4nS77oWKY3x+lliHin8ZPtTFiuf4H5pfV+atw0GXgz2W s8rA8uATzzmX4K82Lvg3Z2Di00qMpjVC78OzlYJj7JNPjFxiPfGbPZIzrIif z7vx7WaNfZJyPj5v2PlWU3vGsd8UrDdiXqI74uwFbMDEjWHvPyPy8cvnLHaw 5GA5iOnXis6q4u9EZ/yXFuu/eB48GGXAhHEG5vhW561V8B7JecLkjY18+PBJ wfOPiXzq5z4u0thgGC/wBvjaHBF0I1PxWW+NFZ8Pxjlh6GLegB9sNV9L3Czy wZUiXyFn1RWNFSXuDzIjulLkQPSllCNGGBhUnns06mS/RxbDtgJ2DQwbODqw emD2ttb37Vlx+XEF41Aei/eCS2lqc96NFadvqDj+5QtN9h95s+hzGu4p+Mwm aAZxZogPzG/iTRLPknOOwdr9mpiOddMzdAZN5md7h4yMrIyPXk2b/fSI5ck5 yvjy8T94UOzZyMqLmoxvRmcArwD2ZXLFz15dsU3p5Pj28/LWP6OHRm+L7Qh/ ZPy2ZzfZB5p4LK+1WncIHh9cPn5KjMmSGJeDKuYx4DUOq5j3gAfBpkAZYnbg 28Gz/Md+wL5wbcG+FfgXgHVeEmNN7IrjKn7vseF/QDneAe6VNL5k1Ee94KHZ o+Y02Tfx2jbrefhO5hKYY+YBc4QzcdF7zo40c4f7rMgHx35fpFFAnaj7OYnl c/bxNo3txV3mcW8sWp5nLjUVPTazo07OViP+KVjNOtUzHMwUdtKK33VJwfGF ZkQZ9EaPNpkGt2ELBieY2DbAGL0F71/2uZdzOo1PgDfAvvlz2f6Ca5Ydv5nY sMvOp+QOnhbfa2KuUsEWFdtisMlk8j7HabDqv7hiOR+7Gb6x8B/Iw6MrluWw rSEn/S/4lvEVy/MjC8ZN8w6w07yHNG39suj4IlcWjd1GH4WO/ZIu083pReun yC8Vra98MexO0FNoAvhIzmp+J+wR2IIObzXG4L9l02poNvhr9OPoxs/ocroK f1F0PIOFiXW9nCGNrYm+oa/wGQcD+EOr9UkTKv7G5wrez9jXpiTW48B3NhR9 niXnTMwsWC+1uMlYf849xV8kKTrWJpgtsFDcwdxikyDG7cIm42OJf98ZsQI5 WyMJXwhkX2ze34fuA9n3trxlbGTW6UrfrnQWOb/imKik4VnOp4x+n1exDIoe Fjn0nIrbRBxQdNzQwvdxsiqaV4RnvKjifhhZccyNh5uMWWYu/95qPuvKitNX 4K9XcJ9dULFcxXvBUrKXs6dPTKy7h1ZvH3TjzVjjk9usr4NeY5M4Meg2GJlB UZ74AJ9Fv4F7gF/CNodelniU+NVhb2EMsLkgC8CTwJ+kAncDdgJe8pE2y13E kwGfCjb1oKrzD6xal4pO9cXQSa8bz2JfJz4AvtnY9vFfgkc5oOj6DqjaZ4V8 cM7ozKgHDMkrcRbG/IJjkoDPA5tH2QciBvG+wfPA+2BzxW6HzQ5afV2b6Rh2 myva3EfQe+g+9PCY+I0vAHpn6Mi7av/mVT+7WdV74pQ29/NeeX/HMSXrh26P b6H9t0UanRFpfHA2rvrZjXTfRdfdSu/IN1X9brBUyM3kY5vYsernsZvVKn28 8mt0/z3kKDAjYJfIh587Om/cwb4F7y/wnOwRyFvo5JHLPkjMy8HTgQ8cE/7D xOuY32QfjmPz9rHqr+9K8o6zvona8G3i9X1C3vwffB8xJzlTmZhtxHLrEXr4 Zfp4fKex0e6t37NpT9UyOGnk8Jlx5gQ2IS7sRPD+nAWBPHZPnEdBGegs2LGZ UZ79a3yMHfiT9dqMRyoFfpsYz8wdcEjMH+gQsiL09oiqZVz0JVdUbWObBB6j 6rmxju69qtZ1o/Nm3W4d+iVs051BP7EV8Bv8DzF68DnYNrHtuiPKQNOh7Zso /9957y/sM88FTgtbJ/Ep0dcQZ+hveeMAwQMuifOCOTeY+trjXcjizSGPI6O3 hJ3xrWq0LW/7A5hBeEXuK4fcd1ObZTBi9D0dsZ2J8bx1yVjLY/Tse4n95QeD Ty/afoQdCVvEwGbH7H4i4uQQLwc7MNiLpbHvg1kBr/Jjp/d/bKTbl/zsdrp/ 3ul2/VXpZyNWMDGDH404t2dVzFevGG3eP2/8JDhK8laI70J/hl4afR3xVjk7 hFjS+DcR24t9sl/VMsFyRfsWEWuM/e1/bT77BP4fexLj+1biM0nIp3/6lVw/ +m/ybor8s9tsq8Ruv03VuKytq5brSCP/18b/2PTxZzkg1gv13BDv5Xwk9Lbd ZyRlrP9Bl0VcM/y0/pYYI4hMBtYD+YFvBzfeJ3Agu1Udqw6s9c6J4xMRp2hd cJF54z/BgXKGVb/gN2hXj7C5E4uKOFRrqvz3bbbF8t/BeeNXwbEeV3L8lP2U 90rBMaOJbX9O3phJsJNt4VsILuS4xN80tuLYA+Bh0X9yDgxxEs+PuEjDI7YM F3nE66AM+ZwHwVkBnBkAPurYxHroS1Rn36zPxmOOERNm3ShDHv8hE6KvxHaF 3Yq4gZzPhxzXHact63hf+FB3x32r9Z3/+M4REbuJdXhh1rE1SfMeYs/A24Ml RUePfv6FyB+c8rOU53z2W6Iu0tQ3Ir4LPm50tIH8i6J+zh5dN+rnTIyRUZ76 aAe6Sb6Zb5mW8n2T+K7fwvaKDRYMHbZRcHTEvpgf8S+48xucFvQSuxg0c7Tm 0MesnaptYMhOYxPHvaA8cS7QsT/TZj37CVXXAeYL3XTP4Bmw7ZF+MLF9EV7i kbC14o+EH8bsst+LXQ57M/vSr+gKsuZRWP/Y3bFjgtnAZok8dj/7Y9G066By +INmjPeYrHp+ZN9kn6y6nX+v2q5JmdmJ1+z3sW4nRTy+v5e8pn8Mmoi8t1ys WeyRpO9OjB9ZIdoDroa+AmswsstYgUuLtrnS5hkq31U0zwzvDM/Fd+FvAHYW DO3fCsbXswcTRwNs0bbBq7Ank8/ek6labwRGG73LpaFvWVn5l/A97MntjkPH +K5Q9X4LNirPOfUq06n7SVWP/aCqcY7kw4exP4+I+bBD/CbOCWf+oN+Bbg7K W9b5sey9Hx7gl7Jte8g0O1asU2RvgFYTGxP7O7G/Hq9YV4/O/ovE9VAfmFtw TsjKnAPTEGcucEYxfAv+/Xwn+iV852gPsbn5TR+Min7gfkm0k+dODJ4HnMfJ bdb9tVadbqk6LhXf3aF0Wdc5yi9hW0+Mq9gA/WpiGRNZk30Ov2WwrmBawbYu 07uQhi7fl3P8O/C4wxPLuWyYD+d89gD4XXCy1HOs/nq2arqxMXq1nM9HAcPN 2oVXg7cr6L9FYI4Kxtr3DB9F5lEh4nyhayEffM/KZdvuO/Vcl+o/T3VVwQZU rBt5tej9iO+F9rOuh8e4Y2ejPLwydPrzoNXoYMAqoIcBTwqmGDwkd/oK/An/ fxZlnqiGrSvvby3H9+Lf91WUp729os2Li9bvrVnxeaycN83ZaN/FmSY/6P5l wdidLUrWfaIDBYPFGdHPRhyhIQXr44iXuWfE8vki5Rgo6PO31H2XvPHc+MDt mjfuinhC+cD/4wewU97YdHzy8AklFiU2JOIJrB7xGBdEbEbk2IU5/yZNO4hr hM9sv7x14guhbXnbGOaz7vLWcT9XdWwO9C2HV1zf81EP8YgWxHcdGPqag3Xf oWRM4I4l/78w9MDPhE6YPiEeDHFh0EFAU9B1ouc8IvSe6Im2LxgH39HleIrE ylh2ZtMekUYHtGfEWkQ3hG/hpyn/psxnKfvsk9991l69Y2ssK7tb5K9YsX61 V8V5u0f+f+LMnf/p3lkxT5ZH/1cx39ZMPPmC9aR3qsxxxD1UutLl79g5vgW7 Ed+MjWCNvM/vWaPg+F74ySK3rBZxcugTntslnn0q5/PGkKuRf/iPPiNeDc9D u7hvFrHCuG8ada6dtw8t8XWo44moh5gYnC8CdgKswreRxo5IGj+/gQXrK1+q WkahPP9vXrR9BVw856Rzhj020D2Ktr2BcSOP/8AAwy//N8pgT+c/fBiJIcVe gM7rzMR0BnpzZvgpD6sYZ/JTznEBb+6wXxm+ZJztSaw07HpTi5YXwFDTxu/i Wyj7ZofPHgVD/27EM7wl8m8OH+J3Im4w8Q4pQ9wwYgmTj3/xhgXbhxZUvW/R ZngM7rXRfuwZ2DWIlfFE2Djo5/4F61WJi0nevMjfTGtjANg83Z/otC37As2f bfLWU2xa+LOuz1OOjcb4sddwZ06w1+5asL4m3+V4Hc8sW1956x1erFon8nzQ hM0Kxom+wHwo2IeBsxf6wjPjb6D7FmXjQv8e8c6Jcw6GsF/BeJFFlC/YF+L5 qut+IWjCunn72K9bcHwVnsUmzvP8xn8QfMX/Ih+9CfOfmKLYpaFj6OSJM8bZ hNh9wOuA27mv6vN2OHcHf65Dc/a7B0M+RXOlVvvCNRWfo8D+t7Ds8/SOjvKc WU1sAGLAX17xWVaTsN9WfD7HzbpPr/iMnFsrPs+WZ9Hh8x7eh052YLwX+Qif xwHh98iZSPg7sxdyPzDSnGvGb3xPeheMv1yj4nPY8LOlvlFVY9wvqbq+/XPW 2e0f9WOfWLloOfC6qs+/BocEFmC9quN9rx/9c1S0Gf6d2KPw5MR6Jw2Pv2XB 9u911Ya6quOdpXVv0zVU6Sz6qLLPHFpH9wfKxl09qPsOBeOZ1tezBxeMI1kV vFXZONut8KvKW996rcZt/4Lt3RuBnQlMwIbIRLpuVHpT3W8uG091i+5J1bxv ser2vhLtv7Vgm9DxyA0Vx4U/RvdTyvaBOlX37So+b2B73YdX7OM9AppdNt7p DN2fLhvrM6/sODUDYxwvLdt/bLTuJ5eNERkK/qTqmB1/1f3Oqv0M76ral4U4 vcSQIZ4MaWzMxGsjviUxm4hbSBodFrEtiXEJP03eJpEP9pf/sL1ynudGkT+g w/HisP9y7xNz6aeYZ/gOv5c3XqV35c/3fZNyvJ31413QKegsPoZ/KRknM6jk cxHXizK8mzT+8stXbIvcQt+4UsG6tpV1Xy3vWJ3E7GRdrpszjufo2PvKXeY7 1sgZ74Fub8NoM+VpA3SS59aJNGeKgCt7Ap68w/QcWs1+vlfs73tWbYfeq+rY HuNz1hdw5zd+jPwmXjfxRo6tGo91nO4fln3+zUdlr/txUYb1MTbSjNtZMXbU QexvMIvEDhkd6W07HPOEZzhDgLMEwLERI+SSSPet2v60adX6CfKJlU3cl1E5 +y8tOzeaeC/kkQaX1l/P3Kpnt606jvu+sa6Jo088fTB8farWm2+oe/+iMXw7 Vx17Y2SUeatsTNvbZb9vZLwLP+w3om+hx78G7aW/l0a80VuKtstgn4FHgReB Lx1aso/MKSWPLWMMf3JT0bgO8B3IE8gVyBLIBsgIxBzJd9hne9l5itzx5yam BfGaeqe8Fy+Ntj0YcZyICUKsp4ezXmfICcgLF8IX5O2H9qPaUyoZGza35Lg3 rEP8wR8uGjOKXwt5cyOfuh+N+hl3/mP9Ph5lmAMzSvaVnqn7Z3n7UP1b6btz jlOEzwN3foOdmqP7Azl/NzHF58S34qPOOW74wq9RtJ0SDA5xjngemzWxO9Gn vab7oaED5QxAfAixEexX9X5IrHl4+0dyrhN5j3fNjD4n76HIR34jPSv6n7EA B0+7ZkR54meQnp/y/7OjDP6i2AV2qhrjCNaxoezvmxPPrqa+6AuOjj4vGj8D joZ3PhxtYNwein7mfKUHo59/ztsf+78lz1tix4Al5v5U1vhYzkgiphPxmp6K MsxtziRivRGjjLVFmvX1XNbxepatx/lR5j952wtbuhzbjLXHWviy0+eILCjZ x3delJ8UGIiPS45zRtw69InEkuVcRc6t435l1jinKyOfMsQzI64ZsYqIv3V/ zDfqJm4Oa5wYUPMizf3peO+wvHEqH5aMhQJrdJX6/62S9eRvlxzL6PmsfYwn dPns8Mu7/B7eR2wdsLpz4r1/lGz/u1Jl9slb74+vAPGyZmftQ1VTNh5rcpfz ZkU990ea/u9Vsh/f/JLXzoOxZnnPA1H+wRjr5qCZtJX41c9HGvrJuSIvhL4R mko5aO/lodfCpvFFyVi9cV2OHbUg6mFdsj75PmJlPRFzBtr2RIwpY848YDyv yDkWEP7A6DhYI8z3JYEtvkw0ZGhi2R8dwKoF4zXnKr20ZN9V/FmJy0FcJvy0 2xL7qHDmEjGPPwq5oCl8VDg77vacz33BF+XdrNPocfuVjU3Ep2qdgn1m5iHL J/YR4mxVzv7ElxOfzt0TY3mJ8b9jYvwu56I8mvP6Z33tk9jnkzj6KyT2feJs wCFF+yPhs/tMxFccmrKdh28hxsiKasMx+p3tcjySf+T8P+cP4dOKb+vCgmOe EPuEs8Hwl9lGffN72Xi/2orrmxb9c2jB2JTFevaXkjG/v5XcXtqNjuj5grEy nHP7Ztbnr3D2CvhR7AgH69mbc87HB74+MQ6VM804xw6896iK4zp/HDLaVcEf wtsy5ow9titih4E5H6PyByTWq++kek4s+NzZKr4SBcf/5+wg3sm7sUkcUrCd /uWqZUDG+qnoy0/ivQ/GWIALHRS6yhOrxsNhgz6yapmVONvIlcSwBpf+su57 5G0L46wV4oF/GHOJ9UHsF/ws5uXDV6voOqgLHwTGijEjBsHIonF94PvWz1vn dS4YlaLxhOAKqe/ynLEdzEfmKHaaqXn70f2K7Ttv/O5HSk8s2h6HXe6GorEu YF74ftpJzB9ibNHX+HHsFz5Z+GbhQ/NztPPZ6CvmIPFurou5d0nR+mf00LSL 9hE/4v8BTJ/kmQ== "]], PolygonBox[CompressedData[" 1:eJwtm3WcVdUWxy8IM3MniDnn3BpR6RxKUlK6LFBRROQZpIKKYiKhIiAN0iEp AgYgiIJigYGCKIoYT3zWE3ygYku878+ff+zPrHXW2mvH3bH2b62peO3wnsNK xmKxlmfEYqX4WzcZi7XKjcWuzY7F9hXGYv8KY7FH82OxapRXU7HYEMqEvFjs IuSDoQdnYrGdBbHYnpxYbCD0R4lYrHWW6zRLx2LX8+0l5Jdh+zroVNL0YuSN kU+hdC2NLvxU6O7oPIH+aHT2034cfhh8NvZzoNvR5iTan0hpC71RNsvEYjfQ n/60/UVAHfp/O31oSN8nYrMz9htifxJ0R/TXYG8G9s6Hfhz9Hxl4Y+TvY+8/ 8LnUP4q9kRHf4FdTfzbyutQfXUS9crFYSeS30V6G8VTL9Zxp7rqGHtsiSiP0 h6GfQL8/7f2Fveuxt5y5no+8IfIy9GEE/QmR50KfQf0IWxOxH0f/V+agSYlY bDP6F6A/CfkW6JLUWQCfD18V/SsoLWl/HO11pr1Lmb/76d9Y+I7wteDHwp9P nRqMZzU22kE3p6xnrlbCt4JumTZdTPtb6Gsl+jSOtrrQv4rQVWmjEW3Vi6OH vSL46vDP8Hv0Yf4mhu7rM5Qe2DrAt5bQLSgfQiewcQ/2WmEvhB5F/1rSv630 YTj2KvBtDPIOyNPQHbCxjrqP0N5LzMVU7L8Av51yMbL2lKezrNMR+lzqzKH+ MOrXgz4/9FzPpdTXWqN8xfw/Cd8NeizyjdAbKN1lL+m1/zk67aDLIq/F+G6k jRrQY+hve/pbgfkcTX+70cZa/Ra01xW6LmU6/ED4Yug4dSpQ/wv4W9DfzG/6 EHxl+GehqyKfSttTKDVo/2bsZ7BfqM2I/jTkLyLLxeZK5JUp9RBN4FsV6IfR 74d+a+b/BP3tROmH/YuxP5TfbzDybOSXwB+mvWytSeqOpZwJ3YQ+zsf2cOSN oJ9GZzz1z4HfCH0P9ZtQfzdrsAn96Y3OVvQH0IfLoWvTXgv0m1KqQVeg5Jfw mGpifxE2xiIrxN4S6Hux1wx7i+HPw15ZdI6zHkeiXx66XNr0OEoF6L6Mfxhj u4lSjfWzFBvjcr1nCmj/NDoDoGPYOwVdnW+T4S/hUzXoG2mvnPYr8/kDdUvp G/LS6Megz6HOadp/kPYqQq9C5wHsp5E/FnmONFf1WX+r6e/DfBuVaxtnUH85 /P3wSfRXQl/D+EfC/wF/LvN/MfwN8HmcUevRr8Z4pmFvJetpAPRw+peif1n0 7wT1Y4xxEPIOjLcEdG/q30T9M3ReYW8ufRiU5TmvgywHG0XQ01izAfX/Snms 12DjBPR47F+EfarGllK3NPpJ9CejX4D+IOSlkG/hN/sSvnnosy5DeVbnPfJc 5LocjiAvps2W1J/NfOxgP14GPxR+AvaykN+EfoB+P/r7O/xJbFyLrTKM53c6 0Q/929E/gn4x/GnkF2P+enRizHUu7Z+FfC7yCtTP4tvR0l6zOWmf8TrrtcY7 Y2stOg9Cn0l766GH0n6Bzj/4Y/Dd0OkvOe3Ppr1T8AN19sGfhs6jvbORz8dm RfQP862b7jvkR6B78ptt5rd+CXsXQz9AH15l7Gn0X6PuLynPTR/q/Ar9PeVS 7S/qH6W9BDYqYf88Sk3oxbojkD+EvDW6LbC5GPu3Yr+57k9sTkbWhPJb0mee zr7llI+gtyCfg+xV2u9Df1sx3kfKcjfQh2bwP2NjL2utmDWSx1z9nHLfdJwc h/4F+XtlfOeuxlY76i+lfl8UOlD/z5TXDk3E/tDZjXwW8u7IGyH/nfqfUL8b 9jdQ/1f4D8r4zn8S/gL0t6I/jPU0Fv1crQf4D2nvR+ZjNvN3Evv16P9MncfI n0SeRt4b/Qvht8GfQj5evyc6H+lswN4Rxv+b5oj2rqY/M/R7wh+BX0b9bbSf i/7wfK8ZrZ3O2FuLvaHo99R6RP879EfBL6b+ZcjfQV6W+V+IvEvad8PXtDcC e9cjP4F8I/35CPkl8K/Cr0c+Db4n/E74XOrPgv+F0ge6KvZHY/9c7C3Q/UJ/ DsJv4zf9it/yM+b3v4zna+a4O/LqTHhz6Iuw9wL2xmJ/ArY6wq+CvxZ73eDb wy+D38N8d4YvmfbeKYe8BPRfjO9Lxncj/Dza+wP+M/gh8HPgx6HzA/opxnMf 9J/IDyG/CHubGe+12P8J+7OQv479BujMQ785/X2R/vZAvgX578jH6CxEfhj5 LYzvXuhDuk+wdyf3Zz/a+w5+A3xp2h8mXwt+F/xG9OfT3g/wr8I3R34/8uPw b8O3gn8I/gv4hfCL6N8C1vO38Ovgv8D+oMB3tu7uj+jfGOx9inwa8sX07xH0 r0W+F3kv5P+C/lz+AfJbqX819f8NP7uMz1SdrZ/Bz4C/EvmVyK+mzm7q96R+ X+iBlP3wx9C/Abopc/A2dA/620TnB/U3UX8F47uD/vwE/yZ8C+QPYu8b+Z/w s6jzNfrf6z6FX4n+3eiXYH5/hj+O/HX4o8hfKGMfdBT8/+C3wedhbwT21tCH As6Ppox3tfpH/ZKcf51Yg19gvyx8pbL2OdtTPx8+Df8T9k5T/5j8c+zVxd5Y XRLIf4TfAb8CfmHavua52J8L/UbSd/06rQ/o0uifRv8y+vsO9vdHlp3mUfE+ 9Kq0fZfGfFsGfYT2tqAfx/4t+v2ov4n+/Ip8lNYz/K/IjyJfjTxH/gvy2xhP T36f32hjOnulMeVX2m+CzSX8Hv0ZXx/0O8ufzbdPKN/wZfZUFfjKlJdS7pP6 pm+vwD+mOaCtevB74V+kVIQ+h/IC9D7095X0tx0p+7jydY8zpjk6i3Qn0N8e tN8LW1t1x8Mf1pmP7uuUmtSdDn8T/Y2S3vs/YGMGsg8i25MPfSayq/i2Oc/f JJuesu4xyjTofiqcH8/D99dZnTL9IN+2Mj+fsEdHYv9rvm2mLwcp43XeMR8z kC+njef47Tcg703dYuZzMPQgSiX4BpS7oPPlfzCeipTR0FmMYZXaKvTdpTdg G/i11L8PupjyA7Ynoj8/zz5lY9q+EJ2Vehswvu/RvZxykLnay/l2GfQk9Bfk +Q48D/3b+HYz/HjWQ2nGnwx8FssHrI6tJzL2pTQHmoun4UP4Zox5O31rxLff GOso3aHQjVOm30X/bGwdpY+fZ3mMDZHdR3u3Qt9CqQW/Fxu7od+i3KrfLmWZ fBj5Mm8Ueu6+pr8TaPtS1udu1ueT9HEu/d3Ot4b0pw9zXIjtnazBPdAHqLML OsW3xszFc4zvIvSrpe3L70KnKnRAuSPfPrF847Pkv2G/Hfyj1A3hG8A/Q3uX wCfgm8NvRn4FfG3qzND5jvwcxlqIvDbyJ+C7I18GX7o846b9U/IF9f5C/iXy PvC94N+Az2e/zaF/LeBnwO9izs6FrwDfA74t7S1BvwXtrcj3G1JvySLkncr6 jXkz8jYZ+9YsvVhr6LZpvz07wbeBjtBvVNZr8lL0l6JzosBreC2VzkbeE3kH 5MuRV4a/Cv4Qe3YXfCX4K+HH0f+X9Fag/hvUv4L6N0FXRz4QeW/qf6u3FN/O 4/epzp6uHBhjENawj9/nbn7fquj3R78L9g6i3xx+Mvx/GF89xj8x49/+NPPz kGwhn4a8Nf2pj7wi/OVl/ZsfwX5T+Anw5yGvgbwJ/Hj4V7FXHb4+/N3wO+Aj +GbwkzQ++Nq6W1Ie6yH69w70Etr8s8BvwMeZn5Xoby5vjGMV/c1QmrC+dvD7 Xkb9XqHfbppjzXUV1kRDYRXyKal/4z/v93q0NxS6I/rjoRswvkvo/098q0fb DSiH4etQZyayFdSplfAZqbNSPk4X6h6QT4/tcdhoDf+JfOw8+7zyff9A/h/6 2of+/QlfRecPuhdiczCy8ZSWjHcTOguRTdEbIMdvLr29LtS3LGMewj62035T 5PfzbRt0HdZUFrJb4Osi/3dorKoX37bLV0p6bPUpb2Kvs84rdFfAt2Y892Nj Dv1/k/bHQbdDfh/yKcirI68PPwJ+jeZLWAc696gt5Fugd1Kqy1/ljDuA/Yv0 vs/ym6EKsm8jv82/gD+KvRbIRyM/Cf8BtjsFnrtp6NRE3gF+DPxU+BoJYxjC MuSTtaVuJ8pDyJ+lflbgO0533VLKlcj+5Nu3jKU/c1AS2eO0n8nxG1dv3X/L x4SfAf8p9G3Mzyrok6yxdQm/ufX2Hk65OjTmIuxFmISwiccSfhsv05s5YcxH 2I8wKmFVOyPPTUPsJaCHqE6W7xzdPR9Q2tO3DpRnqXt1xr/VTur0wd4kyhlx YybCTnQH6i5shL0qkTE2YW3yAbppPehMpe4E9LfK/0gYq3oUPgHdMDA2+Djl xtCYi7AXvcn1Ns/SnqD+AvRLamy0dyftfYz+AeYmC76b3o7I98Efo9SBr0v5 Dtu3YmMDuhvlH8Ivow9RjjELYRcvBD6Lrtf+wv7zSfsKLfXeQxbqza+7mPrL kJWhTi32w3b4stArEt67i7X+Nd98uw75KeQXQHelzjXCYpifY/QlQOcuYS98 Kwv9jM6oHGM8wnpa0OYd1K3Dt1f0noS/C74Y/tXIGICwgCLKVujzU8Ze9UbW W7kpbdyt8dKn97B/ve6YLGOwwmL3wNfJNqYqbPWrwHed7mDdxdfqzM/ynv0c WSv4sfCnsPchfJvQe1tnSj1+q8bwd+rtCb+P9vLo48PZxjSEbRSn/NY8oD0p /4A2DqkvlA3Q96V8F8/j/PyQs/864dvo5iA/RHvlsTc125iKsJVJkbGXE7S3 H3ll+AXZxgyEHVSnDKX+W8hrCX/Efucs+yDyRT5NGvsoyXwtgz+b+vOyjXEI 66hJuQnd3dr/wpfQOYz+PvoX6uyVf6K7VxgTdAPKbVn2IeRLTKNOLnU/pXwH fV/C2JPuAN0Fl8PvgP8M+WHoinwbSP0d8GUYT43A2OYqykBhSfRvTrYxS2GX hyl94dvqfKQ/58KPRPcp6r+Lvef05ka+Hn4P/Aq96ZD/F/4ubH+QMrYvjH2t sPSUfcne3EdNdb7S3tPZ9iHlS05PGyt+R2dg2ntIe0k+fSf4jUn/lvIR5StO Thu71xvsYejnUl6r27jfd+k9L/9S+Db9b0P/uupNo/HCt004pqHYhs7s16DT 1JmdbZ9QvuEQYdj5xiDWwGdHxrqE0Qurv4nyBPa2MN7S2F6CzRrQX1J+gK6d 8lvrXe0x6FroDINeTRlE3dv59naeMT9hfy+n7YtoDb0EPSJlX1SYlbAr+ejy 1eXj1QltQ7aGy1/A9r6UYx1606yBn5D222Y38oeEbaR8N+oMfgr6KnRWZHlN VAq9BrQWtCZrBr7jdNdpDdYLfGbq7NQabKD7Wo5d3BiosNAJ8CXixuSEzS1H J2K+JjPf1ZAVRsYqJ8FXhu8CvwV+DXz7hPe89r7uvJah70TdjbqDz9P7NTJ2 OUHxCPRnpYzNFAuThJ6K/vdxv4kfY7wXRva116PfGf2mad+NPZEPQVYH/cPZ xiSFTepM1tl8BBs/QV8ZGWt7jW9Xwl8a2bfaAN8Dfhv1G2Z7za/U76k3ftwY 1yza2qUzLduYy9i0YyqKrWjNDAvtA8gXqEJZBF0q8ttnG/Z7wedEjgWNhz9b /kDS2McovnWE3pSxL/93DAb6lYT9l/3CWEOvQa3F5dRvBf2eML9sx9CeSftM 09mm3+gVrWWdCcIShDejf5A5bU3f21A+1lpEpyryN6iTQHcdpVq2v+2Wv5ey boL53Rf6zNHZU0iZmfCZoLNBd2xp+BmhsRLdcWMUexNGFrePd0Fon0a+jXzO 2jrv4bfH7RNOZm7aJv320ZjPT3oPai/Kh+0QGjMVdhpQZlE/H/kLcfs8n1F/ fcpYvM7wdXrfovNA3GPS2PSm1tta37YljHkL+9ab5zzm7z34JcLzmO+PoV9H Zxn8a/Azk76jdFfpTm2iu1KYWNx3cmHCZ6bOzp9o7y76cwIbT8ftc9TT2RlY JoxdWPuZkbHxxtR/G7o88lfi9unWwE9JGbsT5jxVdzXluzzfKZPkq0fGupug /w50Oeq/HLeP8mjkO0F3g3yYW+jvHvqzOG7MawDjTdLfMegu5fedj+47yBfF vecfQvY2/MK4z4QHtRaTXquao7lJ3xm6O+RzNMJ+S9p8ItsxNsXa3qX+Ndk+ E2+jvyMpe6D3Uu6AbssaX1HgN1CVhPeI9oruoEX050nsnQW/Vxg9/IbIsay6 2D87aR9evrzuuIzOnsixuPfQPyfwmaSzST5Na/jnFKPL8ZtJbyedOTp75IO0 1PqPHHvQb/D3bxHZl5JPkht5z2rv6s5sjjwDP05zrZgh/CeKV/EenYT8XfnK yGfneI1rresNoLeAfI5Kkc9QnaW6o1KRzySdTfKxnkH/deZvb45j8oOw/Rb8 ezk+D1bQ/5sTjkUqpqTY0hPC3OKes6f0XlH8HH4z8geQf11oX0TfnoM/iE5N 6HbofwJ9gWKGtLVRMX5sXx54rz9L/fHo/yvw2bYNfpL8Pfjq8Nv1noP/X6Gx Cn3bnfQbR2+dv30k7O9P2LfSG60f62Nx5Fii9rD2ss50ne3y4XrAD8RGd87H c/k2KOnfVL+t3gTbIu8Z7R29udoHxoSEDekNsj/0ntDekA/aMbBPJd9qs+I/ uttTfgsJ0xO293HkudCZpbOrUfBP7kCuY4E6I3VW6o1bObSPJ19PPsk18B9q z8Ttk/QPvWa1duWjb8L2AeTvxH0mv418feCzXG+0EdgvRt447jVTD7oc5c4c x+gVq98cuO+9hUcm7dPLt5ePW07vicixS50BOgtWR459ag9rL+uO010nn/4C 5HemvBeVo9Eh4Ttbd7d8+G6B7wzdHfLpzo/sY8nXegq+DXwc/pYcY2zC2uST yTd7EnmryG9wvcV1JrSQ7w0/NMdnjM6aAviROT5DdZa2jly3NuMrx/z8mPRb 7Ax+n+U6LyK3XQd5eeR3hX5LCYMWFv1L0tjGj6zBFPbuDY3FCGMX1j4zNDYv jFxY+bzQsRzFLP6OXcA/U9qYubDz4YFjHYoBKBYwMHAugTB/Yf+TA8cKhNkI u/mK9jN5jhkpdjQydC6EYiaKnTyieEs5t3EK+TeRYyGKgSgWclvgWIBiBIoV fJN0rPNu7IXM1a2BsXbFGBRrWBUYW1eMQbGGWpFjE8KchD3VjRx7EeYl7Ktm ZKxKGJawLPns8t2FcQnrUsxKsatNDL+Z/NukY503UGe68IPIsR1hXsK+wsix BmFewr42BY79KYagWMLHoWNnwuCExe0MjRUL8xP293LoWJMwP2F/38A/XMIY n7C++Vqv2Y5BKRa1LHQuhTBEYYkPBMbiFINSLGpRaKxJMSfFnoZRv3Ip56Qo N6VEwrkcyslQbkbzyG8TxVwVex2XcKxSOTbKtRmRcOxNOULKFWqacG6IciiU S9E8YaxVORDKhZha5Fjz7fDTFYul/FXOMV7FehcXOZasb48qNhc51rkefjb8 yaRzP9bAzxAWWWRbwuyF3U8uci6EckSmQC8IHXtTTEqxqUcTjtUrR0C5AmMS jsUox0W5LksCx0oVY1WsdW7gWKpihoodPh/6ra2YqmKrDweOFSsGrVh0lHBs SDFJxSa1JrU2FZNUbHJm4NimYsqKLU8JHMtWjFqx6saR3y6KQSsW3TBybEqY tLDpBpGxWWGwwmKfCh2bVoxYseLpgWPbilErVv1AwrFa5UgpV+rNlLFHYeLC xpdSv3wpY+7C3mcVeW71bWaRY4qKLf5PeCJz/12h6cp6n8MfTzpWLcz0Z+gf AsfyhUEIizgWOHalHAHlChRHxnqFedaJjNEIq9EZXj5hzErYlXyuFHQ2ZWGu c5waKraIzcpx59wcpi85yBfl+ozNTRgjElakM7NMwhidsDr5IEXQQ5L2jXtz Rg2GXsQYD5Tzm3AX/ftv4NiOMC5hXV/qfZDnmPVXyM9K+u31m+I7hcbchL3J Z3o+8pmrs1dvrBGRfTD5YsL0JiZ8Zuvs1pu4FvTLCWOzk/k2QLkzSdMxykeB MXth9wn68EXSMSrFqoQxfwz/YeRYm2JoiqXlp60rzK4g7RiiYolFiuGgPy0w LcysS9KYv7B/jfF75WuEjq0r5qHYhzA/YX/Kyful0JipsFPlrJ3J79E7dC6N YjKKzVwVGltXjEWxllZJ5+oJU0knvYe1l3Xm3EtfeobG/hTjUaxneOjYjWIq iq20SPouv5z6XyPrETr2qRiPYj1fIu+T5RivYr37hbmXdg6GcjF2BI5NKaaq 2Gq70LETxYgVK34jdO6IYrCKxfZLO/akGPg1wp4zfhsXC/NlLg8V+uxXTt4l aft88v2U43BZ4BiBYgXKuexA3S7yD3Kdk9M9aYxVWKvu+FLQw/j2SK7vxFHU fyvptfX3mZ7wG0tvLeVUKbfqLsq6XGNcOwO/eeXrKuao2KN8WPmywsguDuxz yvcURnNd4Dea3mrqk/rWJulYpWKUAwL7zLKn9+XLhfZh5ctqz/UPjMkJmxOG 0ZW18G3g2IH2kPbS/CLncr0Av7DImLqwdcW4FOtaTSldxjlGl0APzzh2rxjW zRnn1Cq3dhf8UOghGdPyweWLaw1oLSgGqlho78B7WW8KvS2uCJzLoJwI5Uak Q+eCKAamWJjuaN3VimErln1p4Fi2YsaKHc9J+G2inAjlRhSnjfUq5tEsNCYu bFw5dB9Cv88cDYo5J1e5uYqRKVb2DX1+WP6TfC7lMlKqYns59uLQv2Hzr4Rz BJQroG8r0s5pUG5DGfi10G8qppFvTELYhHKIlEt0Cn4O9CNp08rpVG6nchaU u1BC71XlsqRN5/GbnaK9vimvZfVpPn2blHFflbOo3MX68sEK/AbWW1g5pcot 1bcGyn/MODdEOZ91Ms4JUG6AclwjxT5p7+d8Y0DCgr4pdK6KcgSUK3BDxrlH ypEeoHh5xrFRvakugu5KH58sMKbwRsJvLL21tObvZr57KZ+iwG8AvQWuyDi3 UjmaV6r9lGOH+k0OFhrzFvYtmz0yxryFfSumVV/YcuTcPL059PbYmXQuimJI r0HXDo016s2it8vulHMNlFP7VspntM5qxaQ6h86ZU+6c+nhpxj62fG3FyBUr /yPp2Id8OPlyfTKO/WxHv2/Gb2S9lRUTL0x7zWjtCAMQFiAMQliEcr7iyK/K uK4wFGEp7eAfK/Ae015rSVlS4DtSd6Vy7pR7p2+thJ8lHetWjPLlpHPElSsu G+2hq6aMhSumdzH9bao+FvhO1t28MXQulWIyswLn1Cq3VjrNoDtnnDurnOEu qlvks0E5EMqFGMQYPsg3pihsUTlGyjXSt8Fa35FzuxWjV6z+u8i5esrxVa7v j5FzH5XzqtzXiZFzY5VTptyymZFz15Szpty19+CXZDvHRbku30fOFVbOp3I/ j0bOHVVOpXIrF0TOdVDOnHLn5kXOFVAOhHIhFPNU7FM5c8qdOxQ5V0E5ScpN +ipyLrlyTpV72j1y7Eo5bsp1E2Yv7F45aMpF6xQ51085b8p96xU59145fcrt Oxk5t145tMql/TNybrZy7pV7P5fyfDnnpCg3ZULgWL3eVHpbzSlyLqh05kH/ FjkXVzmsymWdHvl/D5Tzp9y/HUn7epqzF3WXR8b2lcOoXMZ7I+c+KqdJuU0P Rs7lU06jchvHRc6dU46kciVHR87NV06dcus6Rs7tU06mcjN3R87dEabRk75f Ezi3Tjlxyo27Lu3cCOW4XZ92jFWxVmF+wv6EwQqLVQ7+R4rlUWd0gTEiYUVJ +HsLjAEJC/o75z7HOkXQfQPnyilHTrlyd6eda6Ocv3ugN6cduxWm/L5iA2mf 1QeRPx66iFYMRbEU5Rwq9/AY/Bjo+9POpdUZOR56dNoy/U+F/rfi7IxzOfQ/ COfo/kg4d045fMrlOy58XLk4lMrwP8NPKrAPMVz+Id+GFjimGqQcE1VsVJii sMWsjHMD//4fk4z/B0P/i3ErfL5yjTKmhaEJS1POuHLHZbNk5p8YdIFzEPZG jikotqA7aobydxLOfVEfq2T8Pw/63wfNeQq6kHJngXOqlVtdPmPsSt8C5cKk nXupHPeT0DUyzr1RjnvNjMessWvMGvv/ASBLAaE= "]]}]}, {RGBColor[0.7174449565594745, 0.7743966013413954, 0.913000897384472], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNnXW8lNX69mfPbNibHRPMPHuKsEUBuxUBCzFRsRNEEAssVFDsbhBbVLDz WAcwEOzAbsWuY8cxsN/ru6+b9/z+mM9as571rI77vu54lhw5bvtD0qlUar1s KpVReGculfqXfj27pFIbtaRS87qmUs8ofe1uqdR2+r98Uyr1V3MqdZn+z1ae dcup1I5KX0fhN8p7qdJnKX1D/d9V6V+W9EzhMP069O5LTc6/vcINlKeX3mlT nqsaU6n5ih/WoLC73lWdM/X8uWaX85wa97Le2Unx0crztd7ZU/+3qaRSg5Vv d6UPUjhJbX+EMlXeXL0zUvGB6mCXFufhnU2Vb0/FN1E4T3Vtobo2qaZS39bc hiOKqdSKFZczWfU8rDzrKU9/5T81n0rtrPT+KvMUhVPV3zvU31sUn6L47YoP UXiBfsvqnYc7HJ+rcMfE79ZU5lcKL1H6v5V/PZXbW+F9qndu1X38UHn6t6dS IxQ/PMZsVIzbr23qg+JLKP6J3ntKZf2iuropPEllLuzi8OSI/6z8myh/L+X/ XGnfKt/T+m3a6PDXlMdjNHUoz3C150z1b021Z5jiR+j52xqDfTUmD7SqTQon Kvy6q+veVWWeqN8u+m3d7LIoZ06r03n/ef0/XOm7au6uV/wQxa9TuIrmaHuV sbTqO0lju53iSyr+sdr9pOI/692n1f4vu/p/VeMzWf/LCndW2+Yq73iN7c6q 9yCVeZbK/KDqukZqvHfv5rEYo3p3VP4LlX8d9Wuy8o9XnrnKf5N+4xS/UeHx ynsC76j+PWIMKeNP5e+hPO1qw+/6f2ys1fMVztX/pRUOLXgdXKs+tamOu/X8 KrWhXte+Uvo4zWmL0v+l9LeV3qOr01mnWaXfp/Qllaeg+P2K36o8Y/R/nNrc R2mnKu+t+j2r/1uoPfNYY/q/WtXpo5Qnr99svTtT72aV537l6alnN7Z5H97B vCv/Lfq/scLlNZdPK09Z772mcVxTz1dQnfd0dfpqCg/S/5NV52rK06HfJyr/ GaX9qWfPK88i/V+n6vibKuMN/dZlH6kNV6oNjym9r/5v2OI9whhdqN/jivdT +Lryr62wr8rcX7/xqmtF1VPV7zeVfYfKSXF2KH+bnn2r/Jcq/+dKf1nxVsXX 1nuNyvMK/WW/691T9O7BSu+q+CWKb6b42co7Q7+FynNoyWPO2O+n3yOah8OU NkBlTlee7xVurfTVlb6V4lsp3l/xIYpvofgyim+seFp9vFf1llgbasM9tFPx bZs9jh8rX1+lv6b0FVRvM+tA6QW1v6T0+5Se6P91Wdf7udr0hcodpfj51Kty PlCev/Xul/o/Wuk7McZKf1/pLys9p/A9/R5UfKDG+VXapHy9lfaRfnm14fas x+2zBs/VVV09d99Hf6crvDLGljHeUX3cUe+dpn0zUuV9qnce0LMllN6uev6t 9p+j/3O6eS3/pjW1mepeSn2arff3VPreWl9n6JwZrf20neqayJ5VWTvq+emR ruFIvaJ8a+n9m1X2oCbHOd8uVJ4DladXyvfAim2+C97k3GdN6OVZyjNBebZS nscq7tejCuco/UilX9Pg8+Pfqndjpd0b6Vsq/5Qof2/leUHvrKLyb1QbBjY5 zpl5rn6DVfd85V+k9q+vc+0X5bmgyXck9+PVim+s+MeK91Oemvp+ifr4u+ID lP835a8rT3+V+Yzqu1z1Hqywr/IvVfc6mK++HKT7q5/yHK//E5VnlPLob+q5 it9doPCKeHe82rx0k8fhLP1/V/X0UZ4RGp8Gpd2p/uaVfmXd6Z+rDX+rPYOV 73CVM1Z79hWl76cwpf8bK/1IhbP07q16t7WL1zprfhvNdRc931P5P1I//63x 3EPx15TnPaVv2+b6aeOw6GNfrbdPFN9H8f0KDq/nLqm43W8p/JuylQ4N0kdl 7tfms59x585qVB9TVaf/Q9uUZ4TibylPN41Vs36HcVfo2YZqcx/ubb17r+I1 pT+k+L8UL3TxHmYvD1dfJsXYbtLgPcxe3pzzhLuVs1/V7qiyh+u3mf6PUbkP q3+jFb6pe2qE0m7jXmt0/gdUzp8Vt+0PhX/p96HSV1D4j+b1RLXjAo390iWf n5yjH6hdg9THOSpnA9queCbjfbZ3s/faCur7CkrvqXfLendrpa2s8LYmp6+h /8vq2RUqI69+1DXOSyi9u9JbuUu4WzmHlX9JpRf1/82geaB9Lqw4PVEZLcqf 58xQ/g3Vvus1KUurzL5Fn8mczZWS7+hVS6ZjoGcmK083xXOK1/VuQfH1FB+k +Kfqx7YqfxX1eTvVcYzKGd3huwh6EPpsZZV/nNIP1Hu9lecUte0uvZuHduTe UHwZ7m6lz1H8W43/ynp/sJ7llGcthRsofdWi7ynuq3VbvIf21bN1lT5V6b1V 7waKX6H4korXVOYolXl81TQotOg2Cl/Ke21xzk6J85Zz92vRh3O597mXGl32 YJW1QOO4m8q5ITF9TN08u7ybz2LO4T6q4wDmijFr8l3IPbiC2vCq3u0om76E zuyuelaKttHGgWrLhjm/33l2qNz7u/h8hA7sorGdDS2seJ8Gn7+cw10VX6Fo +gE6grufcWfMl1O5TXreV+GaatsySq+wxvT7SPV+oT7NVDlbKf1T/b9W8S0V /4Q13937YxW186JGj8kIlTU56zvrhAaflw919Zl5n94dov+9lT4s7jXut+dU zu56nmFstQ5fVJ++K5rmuKSr98LF0H3q7yoKt1M4TL+OtPf/Iv02VZnbRvpF KquY9n/iHRFfRnl61n0HXKVxOFp7dPtmvw/9Cz28mfpxjObvV6U9r/Z8orYt UBkFtat33XmuhZZQH28VXb6Ryn2k2SG04v1Nbh91QqdSF3cN7SIdOvcmPWtU +j5qzypN5gE2UZ4Ojc2OKutvlbO9yv9LobZxao2S4y+qPQvazC/wTkb5P6c9 Kud+vf9ZxK8oOX5a0XT3rkF7Q4sT/zLjH3R694zz7Bl0+7wGn7vQ23MbzFfA U/xXZb2t+L1aF9+rrh+gnfT8dvVls+BxoMeP0+8b5ftC+Z9lHsvmVchzVIPD IZH/hbLzljW2zVp7B+vdrgoz+uV0xjYq/Fl9/KnFa3RR0WcpZ+qh3Zw+PuNz bkqTz7rfWvxul7T5JOqi/nHaN39y9qucgso9UnXlFPaqm3+5WmP2c9F80kiV f6XyL1L6zurr5y2+6yfo3evq7vs5yvujnv2o+LvQTmXnv4Vyak4/V3lWbTI/ zLqCR/o65rq36kirzJf13ott5pfJd7jiRyi9Qb/H1L5XFU5S3k+zXpPKlpqk tP9yR6jebon7lVG9m6nPDSpjF6W3aa0cqbU0U+Hhic9hzuMFJdPk0OZHq7Bj 9HuOuy/r9Ekq/0et6/Pg5fV+s/KNV7iB+pRT/CjFiwovzvm8/UrvXp5z+d8p vmKc1ZzZl+Yc/0bpVdVzmH4V/SZ3M3/1vNLPVtsaVea5CpsVTla9X6gfv2rc jm7xXmF/wYu9p3H7TenHcGYqvZ10xb9O+/nxkWcfjekFSltb47+34mcovobi IxS/DbpY8c2zvkML+t+qco4Ho2D8FD+Wu1jxoYnzcN/+o3onKX2W0ifnzadM hCTRWJyod25UuE/J6fAxHfodr/TrFX7fYtrvevW3oviIZu//AV28tlhX7PuL oJkbTV9BW21GOngM96nqWqvk+Esqs0nrpKJ8qzEOamda6V04lwqO79ZgzKCs PB+r7R+VHV8GelXPl1H8h7Tvz3uafIf2aYyzp8F0xyUtTtsfnKfFOMEqCj/i vINn0Hi/pXAH5X8j4/XEWmpS+w5WnrVrPgPWV55j1f6hSpui919X3oVq88b6 /57CffMur1HteUDtH5Rze9Iq5wDl6drhc3oq2AVrQPW8E3fNa1HvnymP66XK s4LyHK74E0p/W3lOzpn+ORa8SOd5orBX2TzzFP1+TPscuUjx96DJ6k7fWeO5 ZbN5VPK8oHbcoTL/6O6zmDN5dfYTe1zpzQpf1fjerPSzEu9J9maT4vMqLn8+ 9LXyzIdeUPprit/CGIFjgbGo/XsoXENlfakyX4n5Zt7XLPm+h474VO1dqWoM 4pWi8SriYBHcW5wVc5R/jap53aGKn9ZuuhTambuacWQMd2k1fsF6SOpeHzso fxe17z7Fj1D8GNVR1LjOVHwiPLni7arn1S7OA/0Ob39BlPOH8nylZ49Sv/Le H+tkN+U7k/tX8U2V5zHlfS7xeIPNMc4f0B+9u6/q+hB+XPFRim9SMi8PTw+f DA4CBvI+eBnndsn4xymRnqs7z0Yl05TQlqsobzfN6Wz1va5nY5uNhXH/L1cx vbFHyTT4xUF7vK53blX5A0ruB+uevrxZNOa3n+brE9ar3rla6X80e5+zx9/T WrkDTK7i/cnebE2C3u9qmr9vN9/97D3WLvT+PKV/WXN941TPMx2+my4r+27n 7ueu34+zRPGZin+kfI9Ct3DOd3j8pyp/Cl5Vz5eoeOwbWjz+SybeF/AHnDus i9nKvnXJ2BQY1VNp8wqTOU/Uzn3AKJT2Q4vPtc9S5huuaHK+PdNO56wbB8bY 4jnfO96FBgNf3K2b6RGwNM508LRvNVY92X8VYyfcAeAnewT2Bs0AvbF74HiH t7odtOG7FtcFzQoGw3kNDkOdtPt4vfcsd7TyfKN6dmk0rdAlzsBFcQ6+3ez8 9PERnUXf5oKu0P8fleedBt+9P8b9C+3xRdAfc8qOf9rdWA5rj3U6s9Hh+2rb tgW365WU7xL6fWiD7zP6+rTSd88ay+qTMr22W9Bvh3aYt4LH2jYx/wUfdpjO z0Pzphn6Zc1vQ1tUgo7gjthLbTtUYT/N6ZtNPmdeb/J5Cg9/V8p4GDgOmNhD sVbmKvyi2efe48yHfr9Aw4Gl5H22kH/LVte5iuKnthsToNzjcm7z0Q3GjMFR mc8jc8a+DlD6L62+87jvionTwcZqauN/mv6HZxMy7++o3kblH6B4Ou21xbo6 Pme+dWKD54/0M9SvH2ren6cUvUc/7ep9uqvK2SVv2nefinHqvRT2TFwOfPAv FfflZ4W/agw3V3veVPr3FbfhO4VlzelCxT9IG/P4sNX8GXgIWAgyjNF5x8Fk jla+V1p93z2odlykvP9Vnh6at4kau4/0rC/4B3SA8nfV87Ohe5X387yfF5Xe 3ub00/TuGWrHO5qn0xWO6fA6PqxmjIfy90yZb+AuR9YwmrtSz3aHJ1N8xW6+ S9l77MF/Onz/czZBAxSVvrPKaKgZ8+CuA/f4u+Y1MV1ju69+x6qMszVODyht z1Zj+u3djEuCSV6pPEervB2gJfW8VfnuhndodDmsq1rF71YrHhPG4ciUx29h jOeRGqd3FJ9OvxSfpjYNhh6HNm71HX9c3djKIarrJ6X93Op2dcoGmn32QndA z6ygdq+b9xhyVqzZ7rJOVPo3zR7PJDALsIui1sAb2ud6JTVb4cgOx0m7u2bc 9ZXuvquJf6ZyHu9w+czVKy2+d7krl1R7zuxiPmLpwPCgQ0blTf9zjj+k/xcr /El1XKG2XYJcrtFYHel7pRxeEnmY82mxrp5r9x5+TGWfAs8MHajw7VbHGUPG 8u2Ir1VwHHnT9hX3/2DtibebHGccFmTcTrCFiyoe86kK31K+wcpzQM1z297k ue2vvk9V+g413zPw7bPjXuR+fF9jtU+beXGeTVfetYKe36DJuCjnKNj/X12N /y+qWR4wRWvqM9raav4HvJJ08lzXYUwMbAyZAHgocgFwwMaIg6nXA1dv0rz8 oTIe1vPDs6Yr2F8NOd+t4JbwePB6G6mvExKnc/euVjKtAs3ybdE4BngGeC/n wftgC1nnuUrlTMiazpmaMpbDWoG+m1lwOEjt2TnWygy1f5WS80MfjeeO6ub7 Lldx37MKb1B/Z3KWQBvW3MdLlP+XmuU0Fyjes5vlAcgCenXzf/YLOE2+yVgO 8stijDmy30KTZbP76P1JzL3a0yPepRww0bmtxgiga3JNpvsOSzvfr0F/QIf8 2t3v9Yh6wRR4rw2stOa27a163tL6b+KuajT+Ag7zsd6d0WEMECzw5rxlkIPi LBvYasxijtJn533+/VU0zgDekGgeSznjCJfWne9ihQ8qfCDv/dRFY7eZwozq zHTxuCEfuSLyXVb3/b9pq+mBdMXx34teN6yf3dTm3RK3/98l83/nBg/4Q6vP Fvp+HvuLZwpPSEwLbQWzp3E4QPu2UeFxiWmhLZV+WmLaZhvFp0O/aZ9cqfDE xDKnrZW+ec4yrPc09ldwlyFnUfrUxLzu9oovVfJdtLvafHFiXnoHpZ+fmD7e TvFLQnY4XPEzEsu3tlV8dNY8FfzUrDbj9n8HjsQdyn36itrSu8kY0akdxkXB Rx8pmT+CT5qSd3x1sKmK6YJZHaYRoBWgd+G5kblCK52oOk/KmWdYvc2ymd5x doKBgn/S17/1+yZtnh4dBfj61/XeSIWzGiwPIkTuw939sp4VlW+LxDKPTRl/ /cqKP6r2PqC+fax3Z+idDxPfl2P0/OPE8tf9FV85zjfOuS8T86tj65ZHIZfi 3f/WjNddCfaIrEDp1yn9K+XfgTNT+b9LjAUcqPj3iu+EPFvxY4uWbV/E+BfN lw7Uev6DM1Jl3oSsIm0+YBs1/5+c+eunVMebKmeg4qP07rxGyyi2RtdB6fci u1L6xRXfkQuqlmM8F/luQ26td2+hT4nlKEOU/zrFO5Q+A3pN/TpUazWrcOfE cpehyvOQypjTYHlchTtFbaronbrmfd+0n+1ftK7A53r3mYznknlcr2S+GP74 0rTPFu7XMzssF0A+8EJ30zXdlHZGyIqQE92uNvRUmWWV2Ud1Lp8znwbuBu0z v8HYQM8m4wPIojnrOPN2r1gG87rKaFAfeij9erXhcva9fj207k7vMF4Nbo2M n/c2VBuPqPgefrG7721ovDNT1i1A/oHsg/VKW9kXZyn/haxfMAGV85Xy3592 +HWr5QFt3fyf+OrtTicv4TeRfnzd5R/e4T6d3sX9ejzjOHwKZ+0PceZA0xDn bH4q4/Ywbq8l7jtjsFvFNFdd43w2vBG0msrYEJmT8r+hMVmraJwNvG3dNstr lwz6BdkDtMEGJfPO8NAX5z2na6SM7cEn3xRz+3DM7+pF43XgdoeoDcNVzsEK V1PeCer/ULX3tSbTSdBI3Bu8D+b5esX1vqFwVNb1rqkyX412QV+NLltXZ36H +0Wftsh4nNuDRs1GnLFFL6HW5LubsWQ9MJ6k1SP9rKJpscs1D2cWTYdeUvdc Uu7Jyv+d2j6m3fUNA39UnaeUrbeELtJXGqel6y73ccVfhqdvtd4TbWmL9nDP nBf3TjloAOT+YACcV+z/u7XX7tJvDf024RzQbwm1vb8GuF/euOS9qn857kDl H1QyZrJK1fIw5GJtnG2hJwGGtHnJ/CB8YU/N9bQ2r4MBejZD8XWr5lN3Db4e HQd0a9BzYH+TBp0AXni6/p/TaPkXsi90npDJIZtrTrzXekb5vdocfzJtehAs GJpwzv+RvVzb6H25lsbn/jZjZ9xJvNcj3oVmvEV5W5R+T7v7vjmyK2SIeWO4 K1fdr4Hq64V10xR/lX1G3thsWqBVzy/Qb3Vwue6WzSGjW07tv45zXnO7vOIP q86Nij4voTXZ+9CeyOGhOX/KOJ04+iF3tllHZIuq40MVnph2fmR5v6iOCXr/ V7Vtjp7PbjPdvFnVdz16K5y5nL27JH4+K/L8k3H87whnx53NXrpW8eGqZ3bF ukyzFB4Cv8fYK72meHdwqQbLgJEFd1f57yhcQel3Kn25kmWSyDYfAwdU+sPg kIqPaDJdDV57pvo5TeU9nPG7Q9hf6Pno2VKq9+eM610VeaTm5KA2x7to/Tbm LC/ctWQcFTx1xarnYnml9cu4nbSZMUDmv3aD77/jop0d6Ivpdxc6K0XviQ1U xr1F6znu2mE9rJWarIuFrA/5DbIb5DbI6rhD5rd7Xy5oNn8AHw6P8Huj5b7I hE9TuT8q/eSqeXTyHJm27iRyYfI9E/qNrbqnvkVupt8JXUy/LAgahpC60HXp Urf+0D1F363QFtAVcxU/qotxMPQwhirPxg3GJ3ZSme+DjVUc/6bic4L8nBVZ 5GDRNsaM8tmztDcb6VMiTl85RwcFzXVnxe/eofBJ9WUnyNaa9+UVzZaHQkcc 38W0xItKe0m/1bqYniL9x5TvxIFxL5barW/D/6Td+j/Ux722Ydxt0E3QT9Aw 8yIOHYUeATpF6IHQx/nN7ufUmHcwtX+rrRXF76s4rRLr4dF2rxP6QD7WCvjb 40WXd4z239UZp5P/iaLn6lTNb6Hd+D9ygDWU1qI8R6d8VhBHsbatzf+Jg7Uw FuAtE/NO5zx5ut3jw7MHitY32b/qddm5PrXvPm9zPSOCP9sgeDTwFHCVxsTr 4ZgupgO7tFuOwJk4P9Jv0Fj9prrriq/TYN42Fbq+61Wte4CuK3LII1u9j67R 2ntbbb2qbrzxiEhH76wcdxDyvUNDxofcF9nPf9SPlTTWE9AJqvi+6gi+lXOB vE81WM5KfuREB+WdH1xoYc35dyk67ahIRx8Xvdxq4nMRXhs8ql/Fbetbsdwd nhA59jfq75rKc7LyXKO0i8HBGr3X0Ydgv89Q/NJmy9LBxgYGT9kTPUn0ahR+ r3xrQweo7Tc0GYNm312r+qpgoer3jIplXj+ULZNkHyDrBHe8BNlDo2UqyE3u Lht7qAb+sIzePRA9KnTAFB7Q6r2PnjU8GrrWt4Ih6//0BmONYAfgC+DfU1qN t4MPgL+XQk4+tdUyLuTMyFnRzUYXm/3Cvjmh6jNoctXnHc8fbTDvCg97teb9 rZpxvOFF647w3s2N5q9o1+PIx1us6/mu0qd2WL8IPSPoJuTW0E7ojk0IGSf9 o79PKr1/3AUHKHyvZt25PVTX/t2cjzzo/R0UY7JnyfIa5DZgzZx94Njc22AC yNt3b/N5yDOwW+RV6ZTHm/LRKzgsxp/4rarvV+RVavu/aqZRPi15Dq+Ifk2q u49rK8/VNevE36r4Lcp7TbP1AtDdhnZFR727xvRQ6EOVvSE6UuiOKv5DrKUL UtabQH8C/A2sgv/oQrNP1+ecT1mXAf0J9BkGou+KrlrRuvSkPZcyvndclHOD 9v71+l2gNn2dtbwZXpt7dl3FL0+ZtqadH4FpZXwHcP5vpDbfpHIGKzy94LNi xbTpBeg97k5C/nNeDMlZl5j5hh65uc34A+nft/v/T1FvH2gHtf9xdEfU/j6K P6L4JkXzLNAP+6S8N2kD+xNs8OjAB68M3OMsjX039EY0tpfp3eFBM4B/wdf0 U94Rij8Z8Uc0F//J+IzmfH4WGariTyj9acX7K/4YuhA1j91ghX07rDOM7vAa Kn/1vPl88DXqaVJ4bN145broL8U506r+DMi5ri/0/nCVda/KHFbzGT807kHa e3C0+WP1c5rS72u0XgbPkacjx0EvBFnOYNXxD/gc+rGKt6u+oYr/N29dAuZ4 UayZVeFJ26zrwvm1evwnvlLecc7/BTEO+6bMgzMOI1PWtZoe9Hat6nUJlnYz 50Gz9YCQ2cK/ILetqm+T1ceeCq9OjKlcq3BiN/eH++5IraVn0R9S+WPbjXEh V4Avgj9C/wJ85tnAaP6qOv3Pqu0FsBX4VPk/aff7vIu+8xrN5t3QEQBLQa5V KjjPPmnjKeAq3yaWuyN/7wFWoXLfYf/oHL4nsZ45+uaZmvVS0E8BV7kueCt0 UW8KnOFdze/CnPGRmxLr6qOzzxk7rt3nLHTnk9CP0Idp2xbAmyPHADOB/oP2 ADMn30SV87PyjNO+HKT/CxpNI6F/d330/T+q83P9ltI7z+dM436TMk4EXvRD Ylky/UWuC/aDPAO+Hx2TnSI9l1inOZuYHyM+X+W06P9l0NGJ5QkvNlqmAP6E 7AQZTV7PZkI3KZzabswIHdiVm41TgFGgM46+KTJkdM/hA+EBkR9SFuVMi/eQ U3QkxkMeD/3bzYJ+ZLxvjDFfUut2ibzbhIwC2xjkFGBnzPvXeneVunWyS4kx OLC4LxR/tmr9vGGJz5HtY52MLVrOtkzJuqLwY+jqw6tQzjNBZ74QmNjCguW9 93BfJ5Z9n18xPftczNeBRct8Niu7fy9EHx+BNkA2BDZc8zrpCsYb9CdzSd9e ijF/NMZ5QNH0G+nIDP9oNJ/Rilwo7XlBnrVIY/MrcixoffV3FzCjqs8UdNPR S0feRTrynEdirtdX+V8q345KPxDcUeHwdsuI0dmEB0ZvE1ybsqHX3lO4sM1p 1Esc2eGfumv+CH2y0VXriKIrCi/1Upv13JbKey7RLTtEed6F3y953l+Juae8 d6NM0nhGWdy38E/wW7+pnkVhL3Fw2uPCmPyadRwbCtYm7zI3h4Qc66uq9fSv iTF5ILEtAzYN6LdCC36SMp+1IHDMMYltzz5FhzcxDrW24iPrXvdPJJbt7tBu 3G+tusd8OaWvW7ce7UqJ5doj2y3bXr9uOnI1pVdqlv+WFH6gff1+zjgmPAx5 oDO/brG+BfsKfp162WsfK+9H+vVudrnD2t3Woso6SvGCwnXq1t9dMfHc7hjt hB69Nvo7lPOy3fK0r1Tel/ot0+w+DY/8Dza6L5xF2xWNn21a8hm8WpzDrBve yaRdP9hd57Oy6flpHcYU7w5c8fOq2/xZ1bYCn7aZx3lY+2U9+MbENCx7BzoW 2wj2Kfv16oL1tKdpjn4PWh86HywKndYv407+OtIzEWc9o9PdLWwHvgj6oNpg 2Rs6VqylfOjLIsNCRse+5tk/kR9a4n214XPFj0q5LOwRoI3fAffW78aCZU7I nrBJ7MhZFrU4jfhqene1Rv8nThr54Cs6dQFCH+Bw6DHoqpRlPcSxXyLsEXHC nhFHx7cXZYE/5xzH9oCyekd8v7zfQYcB+6Dbsu7nkLLl1/t0eH/RR/bUWYr/ nrFuyZXKe5V+TfCzGf8nfnXWceyMZiicmbV+wA15/yf+T9ihYI+C/g3p1Yxl 3JwNnIWkXRvplEe5yCCpc3rWNhDTow2kN4QNC7YsixqjLw1eJ9MLnhv6Rvqn Ed4eeXbI+d7lDEevAD1Gzm9ssq6Pc+Ybhd9mjfeBnS2dsz7PenXf0asmbi/v MFbXR5z+Us8dYX91x+J6lf5U3uVS5mXN3l/ssx55y0toE7wj+5T9Cp/HvoDX g9ZkzS/R4PYtinrB3rAZg6/ELnFIYA7Qa8iPoNnQx0SGhU4m9lLQCtAJyLRI /ySxrIt3P+DsSoxtgnFC63FvIWd6N7GdI/aOB+qseQy8W2GvxLQ9NP7fGqe/ cqZ1Kon7Cm4KnTs02vBZzW0eo3Leqdm2beeidZGJgzNg34OcAt28g8v+j91P j7LTkWOMSmxr+rbOk9sKfp930TVEfrhEYnkY/X0jMR+5YZS5VGLeBB7lZ7X3 p9z/7njCC5DpB60LzYu+MLJRdIZb1da7NA4r6d3/5IOeDWwNuhzMBN2z37O+ Q+GF4MfAOdePPPB6vSIdHm3F4ANJXzXi0O3gx/BUYMvMOXchdyJ3L+Wjy80d yF0IrUCeX2NtrBvvUj739B+R/9e4Tynn+bzT4TfAiNKhA5FNm3eFbwU34tn1 KfOy30d6a8TBru8MfAk5fo94FzwZO7BUvJuOcsCgwHozOduPzGh0HDnbFgU/ 6x15ukQcXLgx8tPeP6PNnFXXRn8/izsF/QPCz+N+AbcAV0GHHF4Zvg+5ADwz /5GTgFff2mhZyeDEZcOHIRdHPn5pYj30bJRzZbvPL2RC0M/EOce4D26Bbkr5 HLqq4P9r1iwzQnbUXjPfBP+EPJ62TUuMHYAh1FTvejWXjdzpvznLP9DPvLTd ZxZlod+JfSMy7uVC5nEf53XNZxo62s+kPb60h+fwp/C229U8BjfUzFfDX5c7 XM71MT7Uc2mcj5vUPF4rdpie5xln5sDE/Cl8KmNwZZzp8AsXtZuWo93XQPOm rAeJPWTflPFccF5oDMIHIz4+8qAnif4u+gzgT9hBXhHv7p42hod+7LVRDlgx OpZXNrqefmrzhWpD35pxOc5UdAIXpD3XyCbgQecEr4rc/sEok3G6J8YBnRjq hUe4Ku4i7r62kIkjG/+lxTZ6PKPtV0b70cOg/VMS54UnZO7XT4wRgRUh87q/ 3XKug2PsGNtrEtt3Y+d9ds388OkKX9R6eCFnfAQalnGArhuQGC8CN3pNz1/N WX5/TawTaGBsccEDt2b+a7ZvGqJwPLJ5xcfVbIc7tdH6yeDYpINXv17w/c0d ndQsO764ZroP+g+MaIV4F7unYyIdmvBkvbug3fpp3Cecq+Dw3Cv8XyzDOS7S yftc5F9CdZyseO+aMUt4buxHTqpb9+OUDuuyoNNyQWJ7OHA6ZNM3hOwEujqn 949QOQ8lxrQmRJuh/R8KeiAdOjno5gwu2ucAvgcOCCwCvAD7lW7RBvhRdGHB JmdGXWDy8N/o4qMHh27Ds4pv3eB+EUcOju4mOof7d1gvC50seHNkPrQHnQpo EGgGdGiwY54T+x2Mf37UNVrlPKIy91P4dZvlBcgNttX/u5S+Tc04MPHFWDD0 K2cV/jJujvMBmQ7rAQyU/cqZg7wVvQfkD+g2Q5/Cv8CzcGZztnAm96h5LrH5 QA4IX43dwbktXgesAfja+cHznpP4DuUuxS77osh/a9rvPhOYyWOBmxA+GmsD bI31AD0Bzz0v+G5kRPPiHEAudEPIwJC1MT7I2VhjlAMOs3/N5SHXQh8Uu11s +tCFuyrawL4njs0FejhPtFkX5+aC+RIwhAE1n3vr1kxrLgr+dOeq8++kcE+N 1R45487LavKXydt2C8wDOxbwor2V7znl30vhgdD8oRe7hMps7GK+BzkjusLI Ike32V8GNogPhA0+tvjoaSBXQ6Z2W7vxeuYULPT1RmP4mcR+P/D/wT3Zvd0y pzurjt9RtV4Eug9/pYyNYYfAGgczBC9sabBNFucW2Dn2+dinv4OuqMpe2Ghs E7sh4mNSlpGAr2PLg34XskDkgGAP8Gzwa/BtxBcFn0ffoXt/qnmszi5ah/PD Nuvhcc9MjXuqS4dtWLBlQZbLeGJHOapqXGJfcPqq3x1f9fvvBb6xTs333Ro1 0y3wqNAz0BKfBF0Bf8T8wkeAT2D7C921as3tWFnho8o7v8183rS6x+0Mteen vNMXqO/DkekrfpHGrHuHbW2wuYGegq5qC32GlojPa7FvGeQD6K+RB7qrj8pc Pm+bPWiuti6mu0Y1Og4dx3p9NNrDb16b+VPaA6bMfwQmrCv44olp18tc0N5H os34FkH3Dpl1p74d9CZYpeKvNtq3DGtuiZAdox/4S5tlv+DJnVgy+yjtOPpR 6O0sarPM+byq4+dWvSZ6hbwYXw7osiPrQ7cL/Xbs1LCHplzKRG7cI2TH1+j9 rpqLqxWOr9v+p6HD9hA7Bd71pvbXG6GrtlvackJoA/TnoRmogzvzvrg3JwUN w3kI1jQ1aBt0LhmTyxPrAM6Ouxic/76g0Sh3VpznYFH/jjJ3rfne36XmPp7X 7n6uUHO8T82y/1lRJvZ5Y6PvZ1U9tmdWfdchj+K+Q16NjsGotO3k8OXBnTy7 aj0qbHyRg7zWaNnfuLrz/JXYlmlE5D+4bvvAX5V+Wt02AtdoDLsm9quDfx1k Lq80WtcOnQni2BGjH/Jyo2WyzBnxn1Nu96uRH/snysfuAFnka7F+Dqm7Db/D OxYs80RPGv29r9p8r02qOj5R4Z9p9x29L/qNfHMUuEo2xkHxE6seF+T56Gv8 0GY545hujjNW6BSxZpChk/Zj6Gn0zJs/x0bxv5HOu5xz6KGhB3duu2XJzB24 xTWBUcD/Xx2Yw9p1z/0K6tcZSjs9aywL/gs75N+Dn4NvhEfDL8EZkefujPOD sZN2Zta4+4C6535d9DPDhhdbXuzcNovx3KBubH3NxJgs9BPPprR7PbHOmZNN Iz/1nBHl36p2HZ21/yv02I8KXXb8Bh2s+DHKPyxtXWH0hMdkHWePEN8/ax77 0rz/E0dnb7/Q2ztA4dissbUeGcexNb4i72fQx4QHRpw6D4p6e2Ucx+74mMhP OY1hT4pdKWc6/Df6BuDl2IIxvmtm3C/087fCRjhrHcf+CrfJ2n58iMItsrYn JNwy4vSf/+jzbxv5u0V8WNZ744y8/xMfmrUdMu8S8h97Y2w3t413ny3Y7uo+ aNGC/5+o30pZt4+2XRZjyNiSl3TyM5aMKXgHeum7RX8nZm2HgA+UIfpNyppO I41n2Cccm3U6Mo6jIz9jgtzj2EifkXccXcbjs/b7sHmUNznKJOQZPDp4/jtx n/LecZF/32gnupqboCOVtd+DK/OeV/gWbDGOyFoHCX8t+G3hasLvw8SIk4at CXIl5PHICY4o2w6FdPRG/gq7lPtL9vnCu3cFjsG93nmnq55PstanuSF44Y1q 1jnE78NGoeuDDRQYArqW2FivEeUdG2WeWXC9tKtXpNNe/AxB1+LLCF7owohD 504JOh89ezClMxPbq2O3/knJtu/o+cPLwgMtbLdtzwk1x4+vGVNH3xRcHTnD sPb/2dERbpG2n6MLg4+b0OEyhleM/WNLAv7/QpND/Ar80G45PvJ94vgIAFPr rbkZl7Xt//is49jFL6f0w7KmRUk/NGssAPv48ZFnRs55sMEnPDzyD1Y4KMo8 ItLxy3OD8h+ZtV84wgmx146KOP6JVs74GelX5V1Xe5wPh8Ra2lDhwKzPKu6Y s2Ic8EuFLyrsktBXoL+7Zxz+EP29OHhb9KPRZUVuii3w9LTjzB1+rs6OdGxh iCObQ+Z6ZqPt60+POHXx/IzIgx8s4vjCuirttpF//azbzfkG/XVfyOMYq42y tu08Pu//xG/Xul8I5lA2bUh82ZTvNfRpuKd+CFwYept7bUykYxsNLgG+koT8 AXkEelkH5sPvU6NtKqFf8AmIferLCpdQ/b2z1jm8q2x9m3+VrYtIGjab0IjU 9VvKtsjQQ9BC8MzUCd2IzAT/L/AR4NTwG/Aa6MtxpqNXt2HMIWNyeNmY5W1F +4lBbwFeBN9y6FTzPvrWnDfbFu2rD0yb/mMjjY0dNuvgv6tEveW6bcB3L1mv 7bDQERobY7hYP3NsxHco2P8Zsn7sMaCtoalvCRuKM7TP+oSfIvwV3ZdYhn8W ukaJZXf3gusklrk9qPD6xHTozYltLcBsTlP+dMZ+NOCZ9i+blx5TtgyOODw1 OhcTQ48EfV98CaD7BH/Gu/QRzA7srl+HcSv8SCEHgyeEN4Qfw3cgdCw0/iWq 42ls4xWW6vYbsH3JNt1Ph103NjzY8uTL1kkbF/p+2K53+qEMnS7GDT0u/Mah d8vY4ZcCezfWJn4/0Y9ATxb9eOQWj3QYY6UtrB/8FaGjjs+mvUteD/gv3CRr nybsBbA39JPpG74MwfpZWyP0fJ+4d+5M+x4ivm3a6dgRY4u9R9Y6oXsp3Dtr +cduWT/rk3I5I7OWc0C7jIhyhsBDZ+2745K80x+J+237uOP2iHLQqz4q53Kx id5G//fM2m4amwnqxm5iat5x2jAo+ghNSEifwfJXj/OT9CFBY3DG4qNlcJyr ayjcVL8e8KoZ5ysEPTMkzk/q2TPqxfaK8YGWOzTnPkALbRblYBNLyH/sy+n3 jtH3w3P+j08S+r1D1r4ztopxZAzx1QMfCw+LP0v8QeCfA93FQ2PfsRb7xnk1 qc2+4PAVh9xo2TgfWGvjY70lEUcHEpuOf7fYlgI/htCwOxXtkxKfFZ2+K8rG eR7rsF4q9f6Vtn7r7BaXt1fJurqvdrhc6ts1bXtI6PoRKnMGuGDM4y4Kd81a h4Px2ClrXx47xBrA5mGnGCvsLs7L+x3yk2+XGEPCnSOOfTWyxJFF22/e32J7 SvT64VXY6+DVyBEf/D/3DXcKuqZzWqzviO+B34KWwCcBdoWddnZ129yd1GFb fNYlfcGH0vjwo0Ta0TmvW+zuTwjbe0L+s87xLXFi2AmyXlg39Bfb/wlh/48/ DNYHa4NyybNVrLHDIj91Ujc0MzT1uMjDejwx7AHZr9TLnsXnwOTwO8DczMlY VxZ924NztoPoFZgbsm/CPSO+c97/kZlDA5IfOpDwkIizJ6iDvUk9xNmP6FhO Cvk+6/qoGJ9jc05H3knIf3SX2RP0nXlnPBiXmbF2jowx5/kRkQc/N+BlrH/0 srFzQJ6I7h743b4p20QtiDgYDOncp7z3Zsb3Bb5RlssZsyXEPg4dR2zkiPN8 mA6nZXKWXRIum7OeRzrKAa9bNe/3eZezFX1H7o73Y8zBoknDZx167+hCDoj4 xNCB526Cx8ZWBD1w6qE+/Lz0CL1s7lP8L+KHEfwO/h3ZNu9wf78WY4KO8P5x p6A/xDvo/DwRYwIGgk1Vpx/pZuOPnB2cG6e0WxYObsxdQZvpE+PRJ/oIFnR/ xjITZEzYhYLBINNYIWhIsBB076AroQE6cTWlf1MzdnxsybJ+1gHrBfqI9ci9 /EDQo5TTK3CFQUEnLhW0IrZT6OlBa+LnGD8G6H5hW4OuGvg4dlfYHKLHyxrG /oc60A2lTtYncgPi6AN/ljXPw9r+JOLwnqx5/vMueqnoMoFbgfvNC8zwn9gn 5O/UW2l0+V/UTPtOCHvfb6IuaENskHhv7YJD3qVO2gHv+1XNMo9jSuaZegU/ Bf4CDcP5dl3Jc4ydxAqBcWKrNIp7KmefWvcUHH9O745lP+XsnwS5J7jJ2tDb BT8j/d6C31lfv0/0/8GMZSgfx1wjO0AXeWSsy0+V/hD0pNJf1Dsv6DcyZx84 pCNf2iPKQZ7ZM2u/rsgGPoy1BO73asHYSieWk3d74CW3KVg/B18f7ImlY1+A 6S6Xd3+z4ecNf29LRxoY78Z18wibJZZVItdF/st+RabN3j9F+fcP+TvjxNjB Z1L//tEGZN68903Ksl9kwLyPfxLkEMggkJf0y3mf9le4Us702PCC/+MfZgP1 b0DWPign5f2f+MDga8ZFHvgccJ6eGceh7bFPRgawaRI+PiNPS6v9oaP/Dk2z etAzhGtEHGwefzjg84T9Is490j/WLXaBjBV8Ff7C4XvxTz60/X98MGdOR5w7 hPwHP8R3+Kex38AUSedcwkYa278dEmPto2JeTks7Lzob8OHo6GEjsGa0GX9E 16Stu0Ib3q26/v0SP18zaC30Wsizb2K/O/QN/OL8vMeDNb9S9PG+wLJWivhN OftBwRflSkWXh09W/KPsGT5S8L2Af1vsavoXTUfjQ+iMmnWun+puven7Qy7W VrD9OO8OCrwCf3v4KYCuODWxXwPojeMT+ykAxzgpsd8j/BtgC4y9Iz5MkV+g F9+pH99o3wfkOTaxrBV5NzJubPWReWyZ2M8x71IG47h60MDrBF4G70m4csSH hZyNudms4v6gD35bzfwsPu/xpTor2vNO1brZ6GhvnbiurRLbT5DOvGFzsklg 3SfUbeN8AvRk+APEL+D2YYOLnSX05jsxhtgnYLeAnvPgnP3gYX+HDvnDsQe5 z9BRQx6NngLp6Cpgj4Gd72J9tI3jrKCcjXK2q8G2Af1+ZCI83yTy8Hxw1DUo 4vjfQ58Q/ULsOLiPdoj7990oZ2TKacMjnfPw0Yx91SCLpCx8Fn2m9Ccy9i3K vTowaADOCc4HfI0R9ov4Ytv1fVK2IyWO3RAyBOQKjC1yA2QJyA6wF3ks8i+M MRyRss3HkxGnH0Nztk3BTgV8hzg0yMSwTRga/UVnEswH2xXwLuxN0fWFtuK8 wycRsu4Lq05HFxh/n8irGBv0ZHcIWRLycPKDGfFuPeL18BuJ/0h8D6GTjF+d e2vOc4/ClbVudwzbZGw4sNdABwgbWdYOOmP4IkWWRr/pF22mb4Xw1YnPTmx3 Dmu0zhjy4I1D5oLsE5kZ6xX5BLZuG4e8BTkQmD+2IE/HXIPf9A56ghCs546U 7/PeEYf3o9+cvflWy9VIw+aV+4+7776a4+90N8/4ZuTHP/RDcTZyZ3IHc28e VrGfB/w9oGONzvOcin13Qa+j44t/tlEZrxd8S+ybsc72Z5G+d8r6u9D1HXG3 bl0wH8BcorPAPYsf53TQtycoLGWsM4zcA7kL+sJfcUfGmKA7TDqymGrYPqJv CQ08MmMd3ZERx54F7GL/jOXs30YcHAO555iM9yg4JXglWAbyH+RA6Jyh20b8 9+AzoCPhKU6KdtKvD6Pv6CzdHZgS2BI8In514BM/V579Yr/8J+plj4AJ0Xdw ofNb7AMRfUruAO6C21LWi26M8UGfCRoZ3Ijn3Bng529HnPfgnw8I2n5ElEMe dJ3wvYK+E1hMJurFFwvp6CF/G+/Cy0wo2HborZz5cnTAKRt9Y+pH7/rPmBfo /Zl1+4mbXncZ5KWcPVqsX8o9Tr8Zd/qOrgX2OZy9yJ9J55xEfki58A7ImpAl wf8PjnFAl4O+vh2+iqif/KwN7hnawF3T6ftE7f8obZxzdMYyVvwioFuejzGi z6wH7Hrw4YLuEyFKQejQLF439AUM7JvIz93LHcx9zP1OnLv40aBToVE51/GZ ztnOeczeYF9Ap5IH3Rv2G/sOnZmHc7ahwn6K+mkHOr4zCtbhgG/C5gw9AXQA wFDA7eDF0PP9O85zsJkfIz+6Hrw7JmhFfAhCH4LhEYduZL/+Fm3DNyNt5v5i zTJHrFv8L5GHe+HGwEjBSuEz2BfwNsiYP4/82O1Ax0PDgzngJxe7F/Ybe4Cz bpreay7YNmx8u3W50CdDhxddXvhfzopOH3wZr0nmlTn9PfYUdzg4COWARSD3 QAaB3ANannc5Z76KNQBvPiPaxp0+P9rDmkR/Df1U9Cno67g4x6B/mBf0zVjX 7AXupofjvONsfyT6zl0JztrpRyDW3FexPjl7vo71c07eYwIOQ7tYo7QNPP7L iD8R7xLH/gR/n8idkSHCU8FPoc9KHJ2xa+I84iw6omC7hZdyPpdJh/dBz+L1 GENwqVrY4qJfhm4rvjuohzi6otCz8I3Q7fhUxG6BswS6DjqP5xsoHMAv77yk d8od4FFyYefT4m8kYG/2RuxN1hA6b/i2gJeBTlu6YP9x+KsgHVpr+UiHB0M3 /Odo5/TAPjjz8SW4XMH+/r7LuS78iEJz1gr2X4a9ThW7EIVb5R0/JWWbG/J8 kXO/f4ryF/PM9GXNgv30YfuGDz/+49NvzfD7Qhw/MGtGHuTapMPT4ccAv6bH NdhGBLsPfIHx7Q6+D4Kfxbk527qih0f7yY/fg846MpYFd6/bX+hWJaefgH8Z 1mCM86S03+N9+s5YfxflbBB8NhgafPcGwTsPiDjpjAM2SIwVeDj54Wuw+6Pv 9Jt6mFfkJdBK0EzQOhsq3jfWwAc146SXddjnGOnobq4c+aGv0OtnnIvBtyLL gR6dFXMKloVPdGwQkANif/mfWEvU/WX0d6l4hl7ee+An+h2edvhpzvcxzxgj 9NY4E7YJOoT3mXP0sqBNSC9G3s+jLvr7WcTBbPEn22lfUPDa4n10MhfEWkUP k+9RoT+PD9pOf8kp+/sB7+M/PnjIgy494RYRp/1bRxt6RRwa49Po12+BDyyI MsEvnopz4IWwi8Q+Et18yswEjc/Ysr8IGWvOf7C+HSKO3dsHUT5teD/ijN1H MZ7Qa6TTNvYN++fDeEaIPmQS2D92H9DEyHLhZfAJxPnCnqoHf8OeZQy/jPXG +hkQ65AxHhbjTF20gX0KJkM6/BbyPWyB9425o90dwdcMj7WEzgt6Gvg1Ii/2 w9gM8+yvuCuRIyEnQo6ETgQYN/g2dX4c9eJHi7tqfvB6tA/7I2ijhVEm8/Ne jBs6spQPToMOxqKwD0XvhXinzWba5zt0DjK9peMuB5uFLuGOgHfrtGlHj6C7 bREfKNtvETQc+q7QRNCI0EWVkJ/wfjbkh9w3c8v21/xw2fYpnXZlDfaVAQ2K fPKHon0Ct9SNYdO2xTg2GDY0xj9F28a31Y0tgQuBD52e8V7Kxr3JvQidgF9N aBf0VrmvuSOh9/4IOgB6Dx26xd/E6xYycO7Cp4M2h06oF83bvFe2jdSyIYMC P0I/Ep3Mf7obn3oLXbiyv2PxVNn9oV+vlm2D3Ct0Qr4Lf8KvlK0vgg4LOi34 +8NW+kfto2lp5yX9YtV3fto6LOsrfl7aPn8KZduXdlf4VtHy9dWrvgPXjvsR /Rn0VHh3ftk+tB9RuGTZ/v2XKvuu4JznXAdfAlsCI4UHxY8AvORjZfvCfrzs 70SlQve0VPb9enbFvCf2Stgw4b8Au0FsBpcom7brWzUuC+aIzjG8LXZP2D/x 7Sb8EWE7BQ5EGfC86Pyi+8sexy8X/jnRCR5b9hl9QDmw2QbTtMhBoGGgneFt 0XGDDkJWMCZk99x13HlgnfBqnPmc/fBS0CrQLOitgnu8GzQydtjQye/XLFe7 tMM24J14cYNtPtPBU2JjiG4wOuBgF/DZ0KfYTdxfME0OfQHWw9nI92uWVvz0 lOWJyIKeSBkXbeC8b7DtKTao6OUem7etbb3BOOHqgSWiL419YO/ATzr9VzX4 Pvks7qmP2qznjL7zzJz1ctBDw2cgfAl88/txnnDeote4IGhO9H/AXuHf8YmL Dx/06tBJQdaMzJmzZpfQt0MvKBV9O7BsPvMghZO5zyIdn8xgIvjH5vshfHMK XT708MHJ8PX9dGL/faP0bp+M/YCTju0ifg3RDz8q7XTGCp1AymB80AMGUwJn QvZdiHr5zkO/4FXQLQZHAldBj+LowIjAbsFwka3wTaFi1IvMkDsSfAEb8MaY C3hz7iTWKnqM4Na0Z0La48Dc1TOWmxHvH/QVdBrfK8N/b+c3y8r+nsfWCv8s 2zfR2XXjXpxv0PyjQ9+f7/fguxYfto0KEfzin72pYtsR+A14DfzjYq+Fr+iN Mpb9YhuFHcYNsXfe6m4fQ6dWjPOB94FBYktxXaz/kyr2dX5yxT50sXnDF/Vf cd9z72CbAj8ALzAsfBstW/HdC93M/YtNEvwBeAk2TPDA8J5gnNAZ4J/I3Wj/ JynLYAYGrc6991bcv8hfaP9nKcvsqPfjVPjxaLAd2aDwD4Sv4BMq9n99osJp 4QcVf6j45sMHHzaS+J1F1lwI3g4ej/sXWegbgYdAt74UdCy0ATwjNAO6pb/G PYvcDH4ZWdzAvOkM5NSk/RR89OK7eZeQtf0Uevhgttz3YLzIj7EdR9ZWCh0E xvEOhWMVvpCyHgs86PNgxRX7ILutYr3cYyPPvxQ/sMH2d9ulzWMRx6cA/iux bbk3xh8a76fgSaCT8cm9+PsGM4LvQ+dz57TnBR6Q7zWMiTasHDIIdFbxC94W epn/rdhP008V+6fDT90PFeu+9Qn9hd8q9gH0u8Jr9f7ucR5uFe0nfkvR9i2v sQ4r9h35YMV6j1tEO+Ah4CWg656p2I/AsxWP74AYz79Llm9dWzemjxzm8ZR9 Y/PdFPQ0NyobS9q4bJ9L3JPwPugfliLOd2eRJy2sWibBWmJNIQ/CHgP6BKyG 74KB2yBHRicTndAtYx6pF1kv+oXoE/I9YHxL/adqbBsaBh5/YMbyE97FVzff g8E2CVtDbA7Z18iRT4/xRGaM3xDoDGzQsD97KGXf69AYyJrx4c33R9BPfCH0 QBmLlUr2Cdival1A6BC+3bBOyb72+lctt50YtA36yptEHfjhgk65K/BkeFr4 2WnKc1EheMiM7YSRlw2JuaZtq2VsLw0N0FD1eZfGT1XR9kIvVSz/xk4MezH8 QSIPhZYYWPW3bwcpXDtjO2pomLPDn+a2Vcs8OX87z97QXfy+aBniiNAN5nsG +EHCNxd+5vCFB13D9zeIo4+BXsRqeevV4asN+3N4EO7KKQXrvnJfE+fO3r/B a5o1jO4H9z16PtxjJwT+DL57QtzF0AtzCpatgA9flfPdy/dA0JFFP5Yz4dao F35/esZ6VszVJRnPF3qy5EdvdvdoAy71ic+I9oAjskZZn+ipodeCTgv6SsND Zwk8mnZwv6MfepbeOSDvdpEOdv1awXJubJ6Rd7KvWNvoRu0SOlHIXG4vmE+7 PcaNOG28MdrJt8auyJmuwBcE+C82FNhVYE+BXQXfHbssZ9rhkpy/VYaNALrJ vA+9QhnE0Q0mL++0Bk0Nba0p7pRVYMuHHRf2B5TD/U1IufAal2VMl0OTnxfv Qlej+804oHPO/c58gVHjYwEaZVHM4wNB+yEreyDmlPOM+eIc/iDow2rMIXMJ boMfyqtjTvGngX8JbN1vKrjN8GIPxLuUyTl7ZrQH3/P4f6YdfLfz1lj3jDVr hnuEPXRVxnrpN0cc22t8wZ0RGMtspc/M2L8x/BZ8F5gGfoTBFwbjN6/g/c/e 5wwgjgz6khhrxnmxbWev4GvOi/R5OWPQYFCHFByHHhgf+bHBRAb8QqQvmXEb OFfBgmgnPuHgQU6PNmNji70xdrbY4OMTBNkNc8hcogN+Rca614t1sPmPvjx8 KuuNebw48jPvrA/GHToffy83xfhzJ4K7cA+CseAnnP+cyejcYQNO27HZBlfH RmTb0IHhPL858vwTtBB5Di44Di0ErzI34ldFfsYQmTP2WtwHbRFSDvcMexm5 P3uLPQaWhc4A+h/I7Nm3rJNJcefQd8bh3Lx1NsHM2ePkY/7o643Rd8aUu0SP OueK+QOjhi66N/A+5GWMOT5YjlPGqQWfhdjrsAeh0XeJO+mhKGdurAF4KepC TsQYvBBjAs99WsZ+J7DXQdcBO5iGkmkN/JSzxm/L2eYFvzXwoTen/C0paBR0 4+F57wqMFBkFWAFYBngBceQXPL87MFXG7J6g99aMdMrAbwCyKjDte6Lv5KH/ 9wSGCf2FzjE0GGXPjLqgYXkXOvmYyIMuMTQxtDF0Mjg6eDoysv3b7X8EGQVY 1LaBR8GjnJexzxDwbWwa+QYD99YpQZ8ga3slZxkctjjY5GDfQz3UQV3koS7S 6pFOvfMVziv4LALbBtcF3+WOPi/u6WOCHqWP3I/j8x7366K/jOtpefsUwec7 baE+/BpgT3NXjPPHjGXUBy8FTwW2Rhv4RhfYMvXRZ2TH6FDxPngCdj34H8Gv yAqRhzGBxjg76Iyx0c7lUsarH4l+vRz8CO1BzoO8h/n5peSysZPmrIaGXj7l eZsQ845vYc5o9Mahq2k7uOikyM/ZDp8Nv41tC7Qh7YHXQI5Im6E36Dv9xN7q kYjTNvg1zl9wP2h0aHV8X3DeLogzF0wF/TboGr67TRwMZ/O8ZS6sB+wJXg2e i++zsheeD3kN/WeuoT1OCrwF+hY6DRqDb4CcEjwRdBvprKuT87YhOznW7Ksx huxlznH2M/sTWzZ8OECDXhx36Il504KUB512QdBq2HpeF2uG9Asz3r/IAFjP +Dul/mnRNtYX+e8PepbzHZqWuaHvYDuLxwX9t+2iDdjgLP5OOWNFWzlzOWOf jzh3DeEhEef7DPjnZw7g/16M/f528KTgsegHPR86QjNj7pgvMPxZMY+L7Yg4 b5+NeWR8wGJYK+AU6GW3xzt7R/75Ke+rC2JMsFFAdx+7gXeiHbThhWgbepis j2fjLsb3OvJV/O8iB+O8YJyYt9di7hizN2LNQLdybkPHIktBpoKcBX6N+3Je yv2nPvQw941zjTMNHuuFaAP6+PgTRicfexX80T8Y9DC0IbQod/ppgWFhIzYj 9gsyP2R/rE/kcMjq0InhnEAeyV7jO37I4cCNzoxvbeBjErkc6fjXOBdbZsXP qcc3kEOfZAuFW+aN62O/Sx4wF57z3Th8NXDfck/Dc/ENU77XhR0RfDBtgBfG jwj+ROjb1nnLKU6JcYP3Rw5FODDi9H9o0FQ7RL+QPw7Ne98y/oT8Z+/SRtrK 90iwx8TeEvtLfAPCwx8Wc8c77PF65GdOtstbZnRhyt8rof18s+Sm6Bc0A/uJ PcmeghbFzx20LHucdOSAnFv94uyC5yIO70Y99cVty5pOhUbFvgTcbWrs9xOi HPhm0sHisGNG5wZ9G/xVoh8FJgg2uG+MMzTeTnnL796s2cbjgvhGImMKj9+p HxTzRd94F2xuQIw/6xZsGToRfJnyKHdmymPPHKCrx5qgLPA96EryQE+C++0c 5ZM2PN5ln1E265wxZqzRNUQ+x390DrHP5N5GrwC/X+ODfwSLxtcwNA/7mnTO QHB3zj74Vvb62rHfweTx54tuGG0iTh72KDQW+xR/29jvwa9jK4StIDqd6CXw PWMw1hXz1qXG3wTvTY534WOg+eAdCA+KOPWsHPUiR105xgQdY3hgcCPSVok8 8MSko0u/mGemf+gm02foWeqC/oS+hA9YP3gx2n1g0JyMx6ExVucHzQrPhVy+ T+wX6EjoSjBYZPXM5XJxRvBtCTAE5p04+qVLR9/BC5B/o1uw+IwhjnwcOfl+ Eef7O1/Ft3g4y7mPwVgog3FE926xXB+MnZD9j3x4VuTnzEdmhT70YvtO4uhC Y+OIrSO6RpS1fLSNeWJuvol+LR/95Rn9A+sYHPOLDRj4N/g4cgTWw5Sgt7Gf pA7s4lnf/WJsCPvHmPBdgomRF72nY6I9jFm/yAPNf1Lwd+wr9ugZKfOj7Hfs lJC3YqO+2PafODJQfKLhyxc5Cun4AsBHAN9t4RswvAeNQTr+AXjv8ngX3h37 Xvh3bNOxUYe2R28Ou/GDgl/HXwC8P7ZB2OBhl0Sd+J5FpxBdafgfeB/87iwb 67+TfolziTOKOPQMND/5oeHBW06KdGgJ9Onho8l/UpyZ0LekQ2OwxpaJ8jkL lolzgOenxrvw48Shh1lLS0f+UYvXaIPngn6NDVkx/cL+CXrhpKAZsC3D5gr7 KcYXedU2QR+eHHngweCB0dkBk2O/3ZXyf3Aa7jHOM3hnzkboCOgJ9GTAc3h3 WtCe0DTQM8zDrcFnwc8xF+Aq4NAX5U1b4ouC8Wf+OSOnxDlJHfAP7E1oF+Tc YOzYj5BnbvA0qwVfQxlLxTxig4VtJHZY4PPIx6nzqKgXG0bCaRGHPiI/tlyk XRzp8CKnxXzB78L3FoL/PSfiyE34biB+9pDhINM6LWUbQXzboneAT1PyIVsB fwEDQr6DvGV2vMv8IRNiD+IblTsSH2qFKJN78It4F8wBuQryFXz/IQNEFoh9 BL5OSUfmAg0MjQ4djm8SfJRw/6ILCHYJ749NEfcyMk3s5sEBwdaGdfPzi1LW WWN/gZn1zlv/uxi658Qpg/t65bjH4R2hP6A9sFvqEXkmRzp219TZY3F78v6W In1Bhsk4IBdbbPtBHP4FXg5eC1wE3xmL7f+IYw/IuXN23lgBPB/54d+Zq7Nj vs6Oudst0plLcAzmZolYP2CQ2F6Cv7IfT4s9iB0e6djl0W/Ggv5tFWf5Yv9b SwT2BabyffgKAItaMtKRc4Gvga3hzwBaFjr2/rD1xua7GGc18kTkOfh2xS7+ tCjngpTxYnBk5K3IufbIWLeT9YCMk/uOs69XrI3O+cv4Hof3hBeHV/2yu/0S Pl22H2h8352Zsh8j8r2Y8t5BVsJZd33JuubX4a+6ZH33n2u24QBjAs9aGPwp /Pidwf9TH3ai2EJi74nPNPA7sDv42O2CF/47sS+safF9SWRU3Bf4wIBHQo4G TTw8eKUXE+ti4SMW3uvBeD45yoT+v6xkHwV8/7l/zX5tVqp57bCGWEt3wWw1 +VuyyDaQccB3NNesA9pN4R0l6xjwDVX4fWRO4K7zEn+HOK/0d2u2E75Y9Oe7 GtMc3zrhe2o12xYuhf+3xLrH+LhlLSLbYN1io4uPSnxLYl+Hbynm/ck2++bC jwD3DjzVhDjPmBvO0uVq9jG0vML7SpYX891XfE3hGwr/DNgw8V1c+rZ71It8 4YDoCzj/yXF3cJ/PKluvd3bZ+masT/DdWeGvAL8FSwbOypqEpuV+4j9rFTwO fg1/ZW2Rh29xQ4tAG1xbto1/qWI7CeTlrOtq2fb8AxT+WrOPsztL9lX7c2BK f9Rs35h0mGYG0+Eu4E5YMeLQ59xZ3F1rhq4I7dmlZLvyjrrxA+hnaOrRFX9/ cE7V9BH7hfbAD8EvwDegn8D+vChwuW0DJ+H+YI+sEfuLdcua3zz4nOOCp+Gs 5Jxs7bCfOvzVcQZwznPe14N+Ynw4h9EtQNeBe526wACRB6PTgU3TcyXrxvBN sHLV346pKxxesj17UjePCw8MnwtdlkT5nDH0BZqQe6IU/XqyZD9pfPcSHhwZ JHw4PmOwU0OGii0yNsnoUOMzBhwHWgKflvizxE4Vu23st7HnBst9KHj50cHX g7OtHD7xVq/5rGO9o2O5RvjZW6tmf6bYeZ2Jj88O60Pj13On8MWzc81YGuPO mYbvHDAR8BBoRmjH0aFDx3kE5oqeGr5FwOdP7DCegr378R1hqxU+z7DFxaZ3 3fDfuH7N9lboOiILR6+AvYUO85CSdSnfLBorQ0YHPgmvgwwQPmhWyT6Ij6oC ulnPDP9zh1Wtf3N41TQXOpTQXd/X7BflUs6exG3CHxs+K/Ejiq9FbDHhmWjP pUXvC/YH2D5yHO4b7LDRZeLe2bfmb9eNUvhHYl9q+FTD3wz4V+f3IxL7XsPH 29hYA4ztwTV/n+yQmjGuDYK/xSYeO2Fs68eE3++xNeOdnMOc8eh+oleK/uch Jduq8f09sFZkWHcF/Xh/nOHoTaA/AV/MOnwi7izoWWRI2P6jv8ldxXmPXJ+1 uVzw3S9F26BvoWVvjnlDLxYdhtOL9o/A93iH1uwHc4uadVcpj7vjrYq/Mfp0 yfQ1/AN7EWxmeLQTWgecB2wWWhIalPNgh6KxCDAJaMuLghbdLGQNnN3wT32D 5/opzjawa3R8oGPAvZFXQEvDE8DjTgqdPTB89m0nnZb3OQg+gL9ZfM2iU8h3 hvBTvD17JDBwcGX4cfh2+HS+6c733L+t+ozhXOOcuSPijCdyV+Sv8DrHVu1D 9riqv4nFt7HW11m9seKn6nlOa2b5xHbifPsC/9vgRcguoU/Qx4Kug3+FB4WH hX6eEGfRnMCXoHWhCUmHZua9hji7BoVuGzLcJLHNO997GRv2oOCx37eYNkL/ Bzts4tBIl3fYBopvjIOHgZ+BiV3YYRyS75uh+0fa9ynjuwcHXo2uHHcgtBw6 geBn4JnQyPCi0FlblqwPj148dwb3GjQVNm7o5GFny304Me5EZL7YSR4ZY0Cf Tw8a7+i4E6CLSYdHQJb7QeBvfI+RbzTiDw3d4MW6z+DxnHvwy/Be8GDQg7uV 7MsIn0bblazji/+eTnugnPHfdMwR44yuAfoHnGXvRdmcaTuWrCe3U8lz9UHM L3qU6AqjJwxegK8HbDyxcees5JxEt/qLGEf8UqPLhR4XtvXEsc3Blyx6Wuho QUsuDNkHd9TkuKceKFl36O+a7SuwoQXjRXa1MOhPzj3uFe4UZIac+cgN8dWH jxt89SGDp48npywPR9+R/2AnYGSstWLUCy+Gzyv68nHKck9kvZQNZgN2A4aD PAlZDvbC6EChC4UePlga6x78Br0i9IuerthmHHtxxq4TL2322loUetHoUTPv r8c4j45vrfLNVfYXedgvx5Ws8/NtzTwk+dErwD/NbjEWR5Wsz/Nlzf4GXg3+ nXvn1bh7CF+L9Ikl6zt9XbM9JvMChrBPN483fMr0yE8Z8ObI1zjL8BfL3oYv BpPlPFyxbNwSzI/zalyH/VccVzcPCi8JZgIPunTMNedFOs4HvmuHrIdn2H8g c0X+g1xrv5BzgSWjiwVuAwZzYuAzfRN/O4Nv4BxStG8KfFSgO44O+cdq2+El 67JvXvX3yPle1WeJv8vwW5yxk+M7iSdVzWNxLsFnLR1nGe18tmQ8mG8JLsYc weXAyVkbrJEjOuw3gG93D0nsfwCfDRtXw45X4cqJvwPCt4NODRwJnrRr1bbx LfiwLdl3Vl15nijZ1xnfkb6kw7ZUfEdx9cT+rvnWEPgM+qVgTWuHHhrt4Q5C Nw0Mn2/zgGPw7U2w/F6RPqPkb+L2Vjm5qm2SiwqnK/1LpfdEX67kb+X2qvuc ArsA/9g57l/2wrrxzej1q97jyDihFz6KOPudvQQOsNjnJ1geeAmyFOgH7uDF 73BfI69Hfo4eJnrUA6MudC7QT+ysO+P8nedJxvJM9j72l92Dbtsw9iw6G+hO L4o8j1asuzOiZF6CMxydas7dJaKsOxPbpfD9eewvsFfh3Dy0aH8m+DU5ZjHf lrIfkf/vZ73gMwVdEr7B0fltq8b4fkXGe383fEvp+VpV27yCDbH3kXGiV07/ sS/Epgj7RM7g/0S+U4v+zsGPNdtoDI6xgpaCpkIOeELRPg0vVB9PLpr+hA49 sWi/7d/VbM+B3ve+qf/p9ICxTIyzCF2sJyq2I7tSa+Dwov3e4P9mvQ775eN7 icOCbofHxw4Rm1b087kH4IO5C7g70L1HfxcbkMejXuwTsUNEhx//tNhLotOO D/x7Q88YO0j8DaAXzXiPCXqG70dhz4/NJPpu0JfwJltGHDoTX/Rgk+Cm2FCi p4+OJd/8xMYVP2S7Fs3vw/f3D7sA7EOWCcwWfhjbza+jX/1Cnxx9zZVCfx6b FvSBNoz1xjeW+NbS3SrzybBz59ti2J7Q15Epn9v4LoNW/T72LncNZzI8Njze 7KBPwUmwcWZ8aBv+fb+IcWO/4P8InZZJFcv/jlW4l35zFL+9Ft8y7Wob6G2C boXPxSYZOwVk4rPiu+HrlizXRb4LRtEj9EWQz+4Vfsqww9uzaFsJbCaglbD7 wuYLjA2sDfwNOgUfjNiEgxchwwRbvrrD/pXwOf1e1f5Z3q/6Gw1gjXMCbxob 8zgCPWBkOBXzB6NjDdwW32y+XeHJKu+kbtYDmttddLzCVavmU8dGfr51CfaF Xfi4FvPv2ItfVfX3ladX/a0BvsuB3cffVevl/FO1b5Brom74U3Td0NFiL7Gn ppSsL4S8HZ0E9CvBZMBm0PcDbwJrgkbArwC2VGNj/bN+5pWsh71U3fgvNi97 Kf/Mor+BDdCzRODQrOf5sa65x7EFYv+z928o+hvb6bp12tG1ws7q7MBN4eGv Ktp3Lj50pyjfzXo2tW65AXwJsgP0LOAl0bXA3pJ5f0Z3635Vf8NvTNU6AvDp 81L+DiJ78tXE9t/Yy2EDjmwdnBAZNLa32ACw5vhGw5Ox/vjmLWsSfPKdxHZu byW2jUbXBN2z7Yv2ifls4u/q4Y+jo+ZvZMBHYycAj4C9EHG+BcU3oR6vGFuF d7i+wd+f43tbLyf2J/BtzAV2c+/G3mS+4HfBM/EbhhwU+0psNDhD9knZxwY2 B/zvE7YanFP44cDmjHNslcTfEeN7Yusk9uONP++1Evu0Xzuxv1Z8kEM3YlOP DQL7GRt0zizOGfTDKW8EuEpiX9/4/O4b9i/YjYALvh04DXb3nJuk90nskxzf 5Ie0GJu9LnwkvB19Ya2wZp4q2YZuYdR1YdHYHRjeVGzQlOfukr+t/VlX0/7Y smOb906DfcC9Hu1njM/sapr1we7mMfkOM9+Q4NxlTfLtbnBd6PF+ib9z0z/x fTk4aOa3gz7/OPinWvBWYB3o2QD7ouMMHgoWyprcPtLntlr/kDFB/3F6rNfG wITQ99iDc0dzsGfV/k7g2cDkR+j/i0ofWbX9DThwp2/xqvHcXaveS7vHvYOv uKVCJ5+7mTv6cjXidHwNKf8ZVeuZXhz7Cv/Apwde81jJfudP4VsVGqs7sJ9U Gefr/29Kv6Bq+hQ+Ep6O7xnzfatNa97X3N/c3fijvjCws64hr4LvXjJwU3he MJgD41zlfjk0zmR0wMGTOSP4BtPlge+v1eH7km9l41fgnJC5nK02/aq2nQOd Gz66+YZ2py54jAm6rLfG/m8P2QL1cSbsE+cn31pC/xufm5vFXPHu/wNZtJfm "]], PolygonBox[CompressedData[" 1:eJwtm3ncVVMXx2/Tc5+x4bnn3HvPfaRENJcmzfNMSmmipDmhQZOUCqVCqFCk RMiQDIkKqRRSiPK+FCGZy9BLA9H7/fn5Y3/uWmetvfZw9ll7TfeswWN6jC4e i8XalojFSvLbJROLrS6IxZZmx2IdgGcXxWJdy8Zis6DNS8KT5nleLHYyNxbb lYrF+iZisWROLLYefA747DAWOx2PxV7kWQlo9ZBxD/KuRV5d4IeDWOynrFjs W+jXQ5+E/GrIjxi8EPkz6H+S/mcgL4G8u+E5Bf8q+reBPp7xWzP+AOZzHXAd nt0L7St4boE3jrxSZWKxoeDdoT3EeIeBb6DPZOh30H4Ff4g+TaGXgP9k6Vhs Oc+agy+Hns/4BbRXAzfBebRl0LYzp/8xt6nIWwVtPs+O0ncF8prRfxrzPw7v WtYXg9YUnqdKxWJb2OS24DvhyYH/U569A9yDPXmR/ekE+yXAC+GJ0f9p7b/2 m/mdYn6N6bMLWf2hZ5C9gTnMZS49Ge81+LuBr4V+Ghk/wf8k8reC50bsfT6N /c0BfoQ+e+A9h/kfQNYtyO/M/l/GsLMZrwzPNiO/i/YU2Z/SZzz87zHGUPCb 4TkFbSrPZoGfEXptZZlfeeBZyLsQeZcjbw68e3nWFP5FjNcEuAD5m5B/F/yX ML/vC2OxgzGfoVeZ2yz6/AX/DOQvgP9DWhPwhfSvDDyJ+XzNer6hvUz/xcgr ydyeg+dC+t4OPh54DP37Ie98nt0HvgKeKvSvC74Y/GvGnw3vdObbkvmWAR8H 7UJ4Xob3Yvo/h/wG0GdxnrazxkrQ5tGK03+azjtwFvTi0Muz3y8irzV9ZiHr aVpd5toP+sfQ0/RZpb3g/TzI+27D+2gCXATPdNZyhP4Z4DGc6d8Z/1LaaOAt yAuAm9G2If8c8IN8q4eKxWJnA5dExijklUR+CeAN8NSJ+8yvgF6fNd0P7Vvw OdAqI/Ma9rIaY74N3IX5Pcf84vS5jPl9QeuY7XekdzURnrbwX8E7mgDcCf7V 8PdBXi94R8BzEfz92Y827Hd55jCd+bTl2RnAo2k7wHeDXwM8F/5hwKPh7wt/ H/DG4HeCXwU+CrwbeA3m9w7jLWMNPzDWDvBJerfs0UHgP3k2BngEbQ94f+Y3 HHgoY2xhvF3IGAw8kflW4f1OBi/HXrQDX8n8u9K/M/OvBM8s+DtDP1PfDs96 ASeZTwHzeYd2JnsRst+HOas30L8+8hbBUxt59cFvRl455J1F33LImIy8KbR3 wMtqDsDLmV+a+d0W+tvcxHlqLf2IjCXIeoT9rwGtPfhT4H8hbwH0yZHPelPG jzGX6Unv/Vz61xOd8Wsynxn0SSetg6SLnkJeI+Q1lk4Df0trSFjnSfc9Cb0h 9O9pPcCvZ4yAsbZAXwTvC7zzt7U/4POg72fMm+g/jvXsYj0MGRsMbUho3aAz u5/+a+GpLv1Pn276lplzK2QdYs1/AifpfwP9J9I/BH6ZPe0M/+WM/z/edytk rAJew3gtpHtYXyUGG4u8XOT9F55K8LemfQx8FTK2Ia838kZKfzKfPHjXs4Y4 c9nN+WkBb3na4+B5yEvyvr5kPifAH9A7gn8j/Dngz+gbYr4TkLcauCNzeIr5 bOWb6xD5G9S3eJhn08DvlU6j//30385aNkI/P+477hHGfhm8Fviz4GPBL4J/ vXD6dGE9vWnDoV3HfLbD+wf0QXqXnL/S7NejPCuCP0N7k/6lmX955j+I+VSS /mQOl2r9tGvoexVtb9x30uPQR4LvifvOewx8e2BZ25lvgOzHaGfEvUfaq1uQ d1TvgrYNvDvjbWa85zl/dyDrdZ6Vg3cz8sbTtwPP1sV9ZnV2K9LmAH8CfabO m+4cZDVhP5sAv0b/MvBvgD4a+nH6D5Q+Zj5jdTdALwv9Nelj8Ia8gyWsrTX6 skHGZ0pnays8feg7h/ldwvlYgPxHoHVgz75hb/bC01H2A2OezPeZ+Q/n5Rnw cshrrDsWuEfgu6gv77wA+DrkVUBegvFKIe9X2oPw9kJmL+bzJu/43WzrmCHS b9C/kG7jffVmvGG0NaX8DQ0H7o3MBci/EJ7h9J/GHPYy1jzm+xGy9hR6ri3p Xwf+j5H3Xo5tnjX0zWGMsYyVDU8p4EOh7+aF8B8ETiFzB/xr9T7gv4M1HWe9 FZnzh2l/8/r274N+GfSp4D+Al0LmMnj7MN4W5KXgXwntR/AD0MvQFiRto8lW uypblzRnF/ylbOvk5cibkvLZ3cSzG4BfYz0L4W/B/GqD384cKuouR/5twH30 fTH2Vvh7AefpPkXW/eizXODSPBsHPQG9APgTxvwgxzbR84y3Cfxu8M3IvAv5 XWmDgGvS5zfoi3h/T5a1zlkAPB0Za+D/HnmT6Puz7A3gOvQ5i74X6P2CPwre AHgH9A+yfWddS9/q8MSL2eaqATwSnn3Qj9B6sJ5G4A1zrGObAM+K/O28RZ9C 9mogrQL0jcifR//6CevuN9izSay3A3Ncxfd1CXvQDfx+8FfL+s4tJlsXfBn0 05zH1tCf4Vlp5C+k1WK9uxjvN3g3sj87gU/TRjL3YsznT+DLA7/7KtInwHVl 8zH+VsavKxryN5S1TX2a+X3OGNVybAN8KXsPGT8x1kz4bwJ+AZ51yNsL/jzw Er0zeGci/x7gnezfA/T/EnmfALdC/lLmX8D30xL6Z+zRRzm+I95l/OWRz2J9 8Acj61DpUtmAt8A7l2e/M/6Z0N9j7dugL4G+m2eDoL0Bvhh8l2wA8A8Lrbsv 49kbOiuMmYOs6czvTuB9PNuTY5txHeOPkz5l/aPgKQlte+iz+jx7tA34xsi6 PsGzKcAX6RuTbtf3xF7eSvsmy3e47vKzmeOoPNtY3eFtifz7WX8e62+OvAT8 23J85hrCPzjyWo4g40rg++H5O9t30lLgWrSVcdtwsuX6IG8P8tZzvlZAe5N3 8Btr+532FvAGZLzO2Pt4P+sj63jpeumgXoHvON11emeL6f8XbTDwEvqfBJ6A /Mrsx0SelWa828D7gQ+gzyvgAyLv9Y/Iuxy4Ln0ej1uHSJcUS1pX3I+80zpL tIfjtrlle9/B/hxmfvV45ylocfALweuw378HtuFly8un6QH9XNpDcft48vWq Mf+x8DZi/GrwJ5jDROYzTv5j5DtVd2sx+iyCd3/atsLZtH3AfVnPR+xfUt88 ssfybAfj95G7Btyeb/5x5nY39HbA/4GnGXAL2rW6T+BZiqyzpNN0HhnvJtk+ 0LcDz6T9KXtKPqJ8M/r8BPwzbRPwuH/Hkw/WB3iCdBB7+wfzHw+8gv7VwRdD P0b/8wPrBn2z57Oe63m2PW6d9j68pcHnx33n6u69NGHd/RL9Z6dsA8kW0jdw l/wX1t+b97mS9T4Ofzb0DTk+0xcyVm/ou2XPwr9ctgM8b+bYp8oDDnh2d9w2 oWzDw7TPc2zD74Z2Hns2n/0bDl45Yx9Wvqx8qi7QF7Lmo6y/gXyE0He+7n6d wVPgP8N/MMc68wHgI7pfc+xjfC3/ST4DsipwvpvovkXeK8jrD89Q4BbMfzHz z+F7awr/qJR9i6OMd4/my7Oe8kd59h3wXPh7sh9L2Y9HtRbOUGd432eMzyL7 8PLl/wC/Cf5fab3pfw/9j0jfpe2rXMOYt6Yd81DsQz7iXOj9kPEW9AP6/oCr MZ/S0PciuipwSfjX5djH2yz7CxkHWE8/6FvQZT/LhtVdAf0Y/LVk4zK/kciv BjyeOX8NPJb5XAZ9Bv330X8/bSZwPcYspruH8TsFjqEolvIi8toxv3qsfyZz 38r5OhP8l4R1eyfox5F3mP59C3xn6u78EXxf3M+OAFeBpzHyL6E1lC7i2ZUF 3sMDwOfxrFGubfqW4GHK385h7X+hYzyK9SimcBNzWwNPIX2/hX99YJ0t3f2P DcR6j8mmZG3f8uxl+Zu0qvpWaD8gLw1+DvCHtBUp33m6++6iXQ1+DPmDkZUB L5fynaW7Szb8faHvTN2dI+D5K7INLltc3/SMpH1C+Yb6Rh+SPZTyXHbxvg4x /mfMrxT4QtmUjP2p4hO59nn/Dq3zpPtqyycLbbPIdtE707v7WncY+9tdewB8 tfzRAtv4svV3I+8kY29STIu+e+QzgG8BvxH8VOS5/6zzzn69D/2E7A/ok6G/ B34sxzGuVwL7DPIdJjDHAaxlP/QSub7TlkJ/CHlZ0DfyPu4AP8IaT8i2o1WE vxP9zylhn1q+9Tn0T+XZJrsI+jUp77106BnAh5CxmrM2FP5z4S9M+V0oJqbY 2GTkfRW3jIPQLgavWcI2kmylDWnv3TT416etI6Ur5UOcCP1N6tuUD/+z/NvA Z0FnIkr5TAiXDS9bfhk8LxSzzpPuU0xMsbG7kX8pfW9K+1uSD78Z3pLsR5k8 x0BLyffS+yzhmIhiI8/rzoW3Hvv1hHzByL6AYkKtAvsc8j10xp8FXsaa18a9 pztTtoFkC2nPV2gsnlXmbH0K/Rng1SnDsoFfp+8L+qbkzzDeU4w3P3QsSD6b fLeMzmNxz/kz+n7Nmr/PtU0eSDciY2HczzaAD5XNDtyFNV1C336hY1uKESlW tI9nxaEfks3Oer6JfFb1Tenbkk6Xbm/JHD4G3sUZHFjaMdAmio2xn92Za03a u8DraGngFO1F4K8K/S1tBb8UeTvp35/+j7GGFoz9PTzd8q0jbwZ+F/pg6E8j vxnyr6DPu/mOgSkWJp0k3aQ79inW2gC8e651knSTYqaKnUqHToD+FfikYtYx J1I+8zr762kXy98HfyPfOr0veCN4etE/V/ZzoXW8dP2b0PsAZzPHz+Ubgv+k u4/2EXPtD35Msb604dny35nvVtbTjvWMY701wVcz3mfQP1UMN3IMTLGw4bRi 8vXoPwC4FOP/mrBNJttMezAQ+AT0TxhvEPgp4N6R5/anfEzZKmnTbpW/Q/+/ 9Q7gH8azmO4u5tOd+Rzn2RTe5xu608GnML9asi3TftfLGHNb2jFTxU4V4+gK /9vw94R/EfyN5XtC7wd9JfPtmnYMWbFk5QxuBR7CmB/kO4aiWIpirIq1yqf5 W7FS8Cm5zhHMBB7Jsw6lHAO8KvIdqLtwumzahGOMijU+Bn+d0Da2bG2NMTSy jypfVTbFq4X24eXL95GOSTiGrFjyE9Dry15m/sOlK2ntoZ0CH5rrM9A4ZZtP tp9yADcC909Zt5ZlvUXIa5dy367IHwneCvzyXN8ZujtuRV7HXMdUOtL/Hfav H/tXgjk3VLxbMaRc+wS1oW+VTR63jNbI2gF/b/iXst/NFL+Fv1WuYxRjkrbx ZesrxvSn5gq9da5tyDLgM8Db5trmPi90TEKxCfl08u1mQW+f6xjD7ezfbPAO uY6x3AV+n2z4XNv81el/C3i7XPtwc6BPlQ2SaxsyhH55wrGsKtDfTNtnkO8g G6dmxjaabDXFKH8AXquYOeu7Gn1UFX20nzmVL20bRLZIUcqxRfG8CO/bKftG 8uHPBV5c5FiSfN4lwInAZ7kB/K/Bf7zQsdYa4BvBPwdfg7yK4C9lnPNS7qs8 PD9BuyvpXNMM6P+F3pz1rCzud6Z31yDwu9M70bupB/5XKX8T+jZ2pGy7rGY/ lioemHCsaR70fYpHwz8IWhL8efADKZ+lj3k2Ub5RkWP3+1jPCuCqylkwXkv4 N2csU7KXgx8EX649g7c2+CvggxhvKuOtAP8KvEbCuqcN+BbwCaFzT9JJ0k0a U2NLB0gXNIJ/QXHrCOmKOuA3gl8Ivh38AvC7wbuCvwleBXwMeHPw18FrB//G 4sG3gT9Q5NyIYiBLgeek7VudWw6fG7xsyra+7kTdjd2Q14n530j//9A/k7Qv WIf+18NfI2lfri74FPBU0rkwxcwVO38ncC5lAOfpnCL7oPJFR4FXAa+VdOxT MX/F/j9JWdd/wB7cIn8gbd1ekme/AOcknZtUzFqx67JJ+xbKQSgXMTbp2L9y Tso9fcc30TvXNt8IxQeSzlUoJ6rcaEHSuVH55PLN54IXZTvHplxbp4RjC6NZ /wfSzQnnqkaCvw8+NHCs5wbwj8CHgG8Bnwy+F7xE0rk6xUAUC9nHHJ5jvX+z /mHgr6RsqysGqljoYMXg6D+B/nt0VyXsO+gO1l3cBvz14r7zdfe/nrLvqxxf Crhjwr7Z1dB363sJfHcPA38PPCvpWIxisIrFXgA9L8s2gGyBzgnHksaBfwj+ LvxtoP+IjF3AF8N/Jngt5p+gfwfpTNZTRT5tkXOmyp0WcYYGICs79N10HfQa RY4ZKXa0A57F8JaDnou8SdBrQY+kc8GngZ8Pfl/KvLoTdDcoB65ceAoZ/RL2 weWLy+frmXBOU7lN5SgWhdZh0mXVOUN/B/Yh5UtKp61jfSWlo3n/o3lWTd86 +CnWOlZ9ihwDVSxUd5DuosLQttL10GsXOeao2KNyWFcotx36bpgAvWaRY8iK JSsHdpZiH6FzwcpZKne5IXRs/UfwK5U7Cx17UgxFsZSXlP9A3nfgA8FfBK8g Xx38CtnDoWsHvgIfAL4G/CT9vwDvD94KvEmWY4SKFbYBP5HlmKdinyOY/3zm V1/xVub/ZOhc6n7ol0F/Gnwj8j4Dv7zIMVzFclXD0Fl3Rejc7nTodaG3CB07 UkxOsblm4A2zHDNQ7GCV4jnZjpEoVnJd4NxPZ+hngF8rG5bx2oFnwD9lflGW c0rKLZ0FfV0x52iUq3ks6dycYgyKNaxMOramnIVyF6PgH0v/NvBH4O0D296V wcuC35p0rEo5euXqh0FXwUZL5ZQlL3Cuohd4RfDb4K+U7ZoN1W4MVs5B/hnn 6RD7sRH68ZKO6Sm2dwdtoO5C9NdW7rPblQ/P87P5wM8kHHtWDYJqEVYnHKtS zYRqJx4Bf7Skaw5Ue3BPYNt9C60nuq1C6NoAxRgUa3gvcOxbOXPlzh8OHetX TFOxzQ2Bbc1vkHcKeWeHzq0qB69c/LeyX5Qbgf4d9PfA31LsEPoQ6MuTruV4 DPrX0F+Vf6p4vXJm0CuCbyvunK1yt+sSjiWpZkS1I+qjvtqzIQnnyJUrl83a gnd9Oum7Xzb5aNb3B/Qr821jy9aWjpGuUQ6oI2tZVuS7WTGcn3T3Bc4FKuam 2Jvesd71P2cqsM6S7pIO7gr+Udq+3Vno372KHQaOZX5EW8D4DwSuZZBPJt9s SeBaGMV8PpG+CZyLUwxAsYCjoW1bxQAUC9AZ0lkaBc9w+T6Bc3OyGWU7Lgyc +1XMQbGH4pF9D/kI8hXGJBxbUE5PuT3pUOlS6aic0DpBukFn8uXQOkG6QTpg bWgdJl0mGyJLvn7oXLhsSNmS0rnSvbKpykK7LuHYh3KEyhV+E9qWVsxQscML Iu/NPfD0k22ecC3GbFpbxYLSjuUuBh8A/lvauWf5ZPLNpBOlG5WTKpCvETgX KRtZtvL5oX0J2eCyxRsHjkUoBlNLvkvavn8F5VOBN3NmfoH3V9oWxarSzj3r DqkGnJ92rL6YxgN+A56jua4x2gbc/N94lu60ZsBLWc+RHOcwVzPeBRnXVilH 2ihjm0q2lXRaFa0X/M4C5+yUu+sI/jR4FjyrgIezXiXzFQP5LLQNLFtYMQPF DupkXFuhGq7zgVNp16r0QH5a5zHtu0s1KVclbKPKVh1Knw/QJ7PTzgXJ55fv L50p3VkRGaPle7OGDfm2sQ8U2seVr3uA9kxgnSvdK506LrCOlK6cyPyuAn8w cG2LYlaKXb0ROJepmJtib7LZZbvLB5cv/h3PdpbyHfML+7k3Zd/5GG0x9LcD 1woo5q3Y96DAvq1yso1Ua5KyrScbeiVz6aGYWdw5gNOB72jd1cqRldLdl3Cs RDVIqkWaFjh3Lh9IvtCmtGOzqnF6Hfi+pG0HxdQVW5cOlS5VzEGxh2GhY9Oq yfoi8p2su1k6biO0NoHPumLKii1vRGZ55c9orwD/ynybZnkPvofeJ3CsUjVf qv1akrRtpJi7Yu9b0v6WVMO1VbGKwN+Ocs7ngXcGvz3LZ7RBZJ0t3S2b5UHk 9QwcS1POS7kv+RjyNaTDH0xaJ0s3y4Z4Rd+/4mX5tvk+TFrHS9crp391wja9 bHvd0UWK5/BsXnHHDBU7rBE5Nyob9fOE7zzdfYqxKdYmH0C+gGzC6uBNE849 yyerH/zrI5W2T3QltIOBa7Fko2+KHKNSrEpzbATt5tC5AcUkFJv4kP0tnuec Vgx699C5WZ2RDvTdGdqWUY5duXb5NPJtlFMekXRMVLFRxaAUi1LMSbEnfSO3 g18QunZHPvg/vnjoWL5iBoodNA5d+yOfXL65bCTZSrKRnghtE8o2lE2bUKwu dGxDPrp8ddlIspVkw2c098C1j5MVEwXuG7r2YiL4HPAJCceeVROi2pCqoWvt FENQLGFryrpvvOJ1gW1m2c6yGdKhbTbZbvJpVoOvlk7Mt40jW6e61pzlnF91 xno17bOsO193f8PIuVidwS6BbSDZQooJPRrYJpBtoJzd+/CHSceGlINWLvor xfeZWxyZq9LOqSi3sgB9VyNjH1C+oM7YMd3dgWuzVJOg2oSn6JOX7zk/nbYP KV9SNtbOwDavbF/ZxC8wfuXAd61yFlUj28CyhctDf1ax6MC5S+WolauWDy5f XDby+NAxCcUmdMYqSPdGjsXLhqxB39Kqmcr3mk7LvlD9Usw50nLAw+i/tcA5 ZuWaVfOl2i/ZMCeRF4+cG1TNaHbkGjrV0qnP8IxjEopNqGZpIfNrm3Ltn2IU ilXcoPhjvmtAVAuinLly53o2FbidcrQx11S1j1zTotqWMciPy//LGFaOX7l+ 1cypdk41khFwp8i1Ls+CdwEeBX/rbNeAXQ18nvRNvt+J3k115VjzvCfaG51B nUXlrOux/ovp83yBY8KKDcunlW+rnEaXhH1q+daKqQykb03kTcpzzFWxV30D +hY0Rg3wrhnXwkhmN+C97FG9LM+pWmSfV76vnl0R2EeXr76a89oicE2MamM2 0r9fxjUIqkVQjPyltH12+e7KiVzE/NbwrEy+a0JUG9I58t6ohlK1lMqhKZem mlnVzioGo1iMcsjKJcumlG15Avqd0OdHhlVDploy1Vyo9qIOz95PO0ajWI1i PLUTrjFSrVFD6HuAn0wYVk5CuYldacf6VcOmWrZvE471KYavWL7ueN31qum8 LnJMRbEV5YhaJWxDyZY6Bv026PMiw6ppU23bqoTnppyLci+taU/ku+ZOtXen 045lT6UlFa+MXMuiGrdbgVsy/r35viN1V/434XehZ7Uj1yCqFlEy26gWJnLt j3Kgo0PHVBRbUQ6oK32LZVxLoJrc4hnXqKpW9UvVKESOUSlWpZyLci8zIttK /9TYRI6BKBYiH6U98ppFtpVUQ9c8coxRsUbFvLqrFiKy7LjiD0nH3BR7U4yn DmvrmXGtqmrMLwXum/HZUs2Sapek06XbdaZrpZ2DUC5COfIf5cvDf0vBvzVR hfYR5Ssqx38utCDtWgbVNKiWom/ataPKeW0qdA2p8LXKaaddE6vaWPn0I1PO ASgXoJyccnWpjHWhakTTiudlXNupmuKijGt0VaurOVVUfLfQ+63xVVuhGnPV mqsmRrUxg9OutVeNwJC0/9Og/zbIBu4EvL7QtayqmRkBfWDatS6qAb1SuY2U a/cUYz8cOGaq2KlimsUCx8gUK5MO2s/YlVKuLVNMSrGpZhnXrqrmu7l0eca1 /qoxaZtxjYRqJWSjV804B6NcjGoMfkFeXsa1AKqJy5fupR0q8JrnAhdmXFup muNExjWFqi2cAF4G/LXQsHLIP0R+B3oXyvHtgHYU/t/zXEN2b9o2tWxr6ZRn 5Y9Ejq2pZnFbZJ9BvoNq+HoD/8F82+fZZ5Hvohpf1foqhnAK+F54fi2wzl+k /AP8zfPsE8k36sZ4V+e5Zkq1U4pZK3atGHHVhGvoVEsnnnPSriFXLfk7yByb 8X869N8O1fwt5F2MyZimGjbVsilGqFihbIgrA/9nQ//dUM3rW4FrQlQbojlq rvJp5NsMgCcDHKUNa4+0V0Pgf7fANdCqhb407drCT8Fngt+Wce2M3tHt+lYz pqmP+ionr9y8vgl9K2emXFv+P/B7wBelDatGRrUy1TO2RVTjplq3+fK/8lxD pVoq/SdC/41QjZFqjVTD2vff+qKHVf+g9eS5JkO1GfIx5WvqWRn5Q/DPz/M7 +QP+I+B35vmdFoeeTLlWRWPeqdqU0LX9+mjkO/4fgpk7ig== "]]}]}, {RGBColor[0.8194355984962245, 0.8659408199863631, 0.8885825907781455], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFmXmQVNUVxh/ITM9MT8PQ093vvSaJu2IsMVYSl1T+sOIOCsIAakRUGOIC ETcWxUSMiHuMiZRVEcWKifsayy3uUXEdFESBYlGWKAHDYhAFQfL9+A6VP3ru 7dvnLmf/zpk9R40fckH3JElm6c9uGhsbk+S+5iRZ2pAkc1qSpGfPJNlQSJKV TVrT+EMRDdXv+2v9oG5JsrXJNBqSTq2P1me9vgxrTZJWrU/WnlJPz6G5tejv zFljflnB6716+s69Ne6jzwui2aPk78xfqep+bbwqS5IV2tO3d5JcrfH1XOui e03j9W1JcoM+b2q9d6vnba1+Y6+4d1Xccbt4vqjFe6CHjvkA8TW46DdAu73F /F4j+tlaP100p4hmW8w7tPcE8T1R87EFj5P02Vf01aLn/D40aFjfXw9ZEPJc p7d/oc+BWvtM9HM0f0DjQ/rM1Xyq6D/V27Zq7yetPm9ynDNDNAeUfC+y6ZD+ DtWZjxVNw/2va8+SRuuU/Vs079L8Tf02os08HaEzXtUZrxQsm7N7WT57ljxH D8igb+gd2lPjLmQwIuQwomgaZIYNLGmzzC/X9236/duC7923ZPozqpb9XOmu SfS/0PpW/X6kxjP1WaXffqRxpD6Z3jO/ZL3vp/kKzadrvlzj8SW/ETuZo7Vr 9Lm84HF6zC+s2obX57bnESV/35h7vkHjRxoP6O17lupzkOZfSVYzi57/vJvv PyBsb4v2DNY4TjY5XDRna8/n+r4p91t6ar2f1k7RZ1/tPS3miwp+N+9b1uBx Wswf1t4JPZLkjnbZrGja9Gku2BYOCXt4O7dcEvF0cMlz5MO5/WK+qZIkl+r7 Sal1iC7RaXuL/WVcwWt7xfrzuedLKr6jX7z5pdz6WlHx2sFx/ojQ3df6vYfW dtPn+3r3cQXP5zX4fPQyXOdMKpifuQ3+nT3zZUPTmx1/Xhc7wwqWwz6J+YYe WdyZ++wp7ZbBwSEHdNIv9HJeTW+XXi+p2/7QIXbyOTaj9TW6d6ps7Pii/QTf wC8PkQ2/K/on9Bmj72ek9s1xVfvsbUX71zMV62Gi3rJAtLdo/YsGxxXiF3Y+ S/Sfaz4jcRxEH8iKtc9iHfv+tmiZ3JF5/meNx4hui+Z5xGPiCzLBv5jvijnb Yz4u4kcq2i/L9stc53QVfA7n8/YZ8f5jM89PFl8Pa7y9aN6PzszLxopjBrGD 2LJa739E8481tonfR4uOIfz+eNDUpY+jJMsXJfMuyf9B8b+X5Heffv9b0XGm o9n3cdfiks/sr7cNz3zWsMzv3Rpv5izObK/83/ewpWESzBvS32ka12nPicg8 8+93Bk2r3rk14hvxh/zzoeZ/bfZZ0JREM6LRdri4xXbJvGeLbReaYxr9/oJ4 nFC3XWFfxCjeia6Iz6Oa/dvqku2sEPa2OmxubcT2w7rbTrFX4srNddN+T/K7 RfM1Wrux5n1rYu+BsX9Tg9+7Ns4h9hCniD+n6D1L28zryLr94IrUeZnYu1l7 R9eswyvr3odfkMt25oI25wNG8stpPbxvaewld3zV5vzBuFmfQ3pYD8z5HVnB M/41XXes1Pw3NcseXpE/vC8r+X1TM8elKzXuKDr/YM9vFZ0bsP+faXxBn+vA FJnnozLHWeLtWI3n6POK1p+V7b+r++4VbRnfbfL6AOINPGv+kWimFuyvjeL9 PWQkfffInLu4l3xETiEuj+7mObyQOz4t+f3wBEaChlhNblkRNMRYcifxbkzJ /MDLsxE3HtWXb3Ljkscz3zk7aDbn9vXPNB4b+1nnzn5hM8+Il4GiX152XhxE HGkIvBb5fXrkPt73gWiGisfObrb/k4r2AfZwzkKNT9ftR5/ozJkRx+8i3rfb 1q6WnJam9kd8nf3Qfxh+1Fm0bf5D54zW/OuyvzPHbrEL7ANbP4v8qM+94mt8 bkxzicbPWpw7m4gjGt9psd5HFb1nvc4Zr5i1Tnr9UvSTpeuNml9Wcxya3xzx CsxRtH6S1O+blFu/pwfO+bJi7NiR+k5yNfcubvA4RrLqJz6/0Ppr4ukA3bNQ 59ygI/dMnQ/Xl+238HRlaj+FV/hCHqNDJsdHbDpT59yPfRWd104rGn8cjVz0 OaG7dTQ3/By5t2nvUOKP3vtibj1+UvEZrPNe8Ck4FZxRyjxvzYyxOoIG+U0r WIYTquZrWWr8dmbRGA4+Wed3YgO5k/iQVMzXPNFvLxjDcTa5t1/k3ydbHN83 iJ8TRXew1vaRbL5st309qbXzpefzWm1D+OThRWNs+Cd/4Y/kY/LyfqFHdIh/ faU3TNCegvg6QmdN0Xyb1lZWjBX26yPdVo3j5+Xm45wW+zp00N+ifd+1WwYf aL6oyW9Bp+znnFUVxwNslTiGrJH5Kp35TsQWYsy2Fr+bOPKc5DYSO5c9tIu/ cqtjE79BA19ZZkycary81bpDN9j8LrvjTGzi6Mg5x0T+4j2/jO9gas4hx7PW Gm9FfyPDRx7KjZke0dipty4Un4PE75aKa6ytGpeVHQsGiWaHvp+rc4aIpqvF Mfda/C7yxUV1YzHkgy6oM6AHSyzROfeI9iep8+GWyIndUufR7qn9ZkH4Dvpg jmyurtqeFommMTW2aEidY5gTx3KN7zTZP5ZHXUKtwRxbwU7AL9XAFR/ntgFs 4RrRnN9iu4cfzsC/eu3C0Tq/d+p4S9wd0mxMDI5CpsgW+YNl3mjx74+kflOv 1DGGmIuNEqeIV4XICayRO1jLY5349G5gS+4nLvGGpbnrlk80zgy5Ib/JUT/C 2x5R24DpKvhQyfgv0fzokvPnTtlHvjiu5Dn0jMfGOlgWTPtvfblHNj9Aev1Q dy2OfDO6aizBOnn/gtxy2FHz/f3jzMEaB0Xthr1j92DV/zY5rqInsBi8zIse Av0DYsFKnXkSdQSxP/eZY3Tvr6rOVctzx+OTInctixqKWgrcy73oDGyyJDDP 83W/964+zocDIydSx2MPxBni5N5Ry6OfpqJ1BL7Fzo/S+78re+0qyWSS6DYW /O4j222r2OyOsvPD4aLp027/HqF5PXwcX9+9FPFNewaKpkE6v6lm/90/6uLH UuPOpWXbPTb/49S2hc20pc7VJ0a+5rxVwctNdWPE32sc0O78NCo1Nm8KfP5N 2Tjrd6JZXLP9LYl4cH/koBuL1g16waf/qU//Zucz8trJ4mVq6ppoXM22+0Tk BeSGjPsH1uQu7kR2yHB72fmZ3EBeAPPODF7ApZPCJoipxB3qP2qontH/2VYz xhyeO0eNjDwFFiE37kddHPmOvHdL5IWXtK971bj4Vq29F/UIdQnfWZ9dcxzh PHIV+YwYjF6314x/L8x9B3fdWnecuy9qmRmZYzD1FvXcA1HTnRC9L2IRPHdG H4y1zlin1wCGIc5QVyJT5Dk/5mCYS+umAe8Q6/ArfIoYRK1BzqXeYM4579ds q5Px36iPqJN23c3bWAOngxHR28LQ3Yeie0t7R2pvR+7fb1NOWJO7P/Vi1TUm c/I0vZlvo06jX0PtTw/g0ug9IVfsHTwEFqLuWRt9LeoZbJVc8HLVc+z3yOjx 8A4wQt+guaJmW8IviXnfRd1LTsJnqWnwb/bhFwsqtumjMsdccge4ihhIfCR2 3Z3ZRxamjh/YIjX7yzXTP5y6NsW+kQ+yWh3xgdy8MuQAT+A0sBG4HLsGD9O3 ezBsojMzlh2jcWLNde9v6+799Iv+z7nhc+TTN2ruHbyucU7uftz7ufPAxOgf jo3a59OKv/cP/f4n97lrc6/NinVsHZufrHun1FzDTNP8XdEdqvl7uW3khKCn V3p99EvJLc2tzi98J/7QI5pat4yG6i1/6WMfuDazThaErMj1i0KPYyLugEeQ C3bJXV29vU4sGpwZ9wzK3OcjdtAzwQ+WhL+gS3ICeRydc8+AwOJg8i9y+936 2Pu9iuuHH2RBG3bSGVgVf+SeDUG/InwNXLFb9KXIX1fXXYNdVXcNSS15ReYe Y1f07KifiRHEB87Abznng9znUnMMTI3BwGL0D1cEDfeAx7jr7ZrPAVsNzY0x VpYDvxccr7pyx4Ph8qG7MuOAWZnXXg2MxBvxWXz3gqp7juty407iHTJfVTbO fjZ1HY4P0y/sCLzFOWDKaXHvJdEDOb/m/kPf6JFy3rY4E3xFL4V+Hb5KzgYb gKMHh+46q8YoS3Ln821Rd4PZuIu4sSI1v5NEe07VmGO16PtkzgXg7lL03JDp xrIx9BztW1c2bqa+b4raitj+TGoMu7ndPkwsxq66Vd1PfCd3TiKW4vvEyA0x 79vHNQi1yOy6aQ7TOU+lzh2b2p0/Z4VPYi9Lo1ewQW8+VTramDnfk/cfSo3r iEn0u8iB4FTyIDFlQsjh7qjHqcvJV+gDXeyeucak5r4o6uhd9TQ9Hfpf36TG 7dRJj0VdQH3w69y/P1xxviUGwicYB10iq5bMOOqZqAvxZ7DOmVX3v+7PjOVZ x8eJJfQV6TWCo8eFbNEfevxpu+NuY/Qozqoay/49c78cvLerDmdEZyvKrpGe Fh/n1BxniDfY2rCwN+LAqogF/K8A/Mf3pugN0tvoH/FtbJw7JXhcXLHsD0td d4LL8McHMse9s/XGm2v+38yfoh9JfoJfehjkOXRUz91T7kMsTb0O7qPmHdvq WpJ958eceMr5x0Scod9IX5tYMif+T0EOPC/owdfVwNhDIv8T764J+mkRR7ti L/L7IHgFbw4NjAFeGBKYIdNbr9SZbVHfdUW//dLwe2yM3t5X0d+jZqB2GFu1 7ywIe3gwzuQ9z+bGvs9pbMjNew+N3SrG5+D0gbnj3U1aOzXwxoyK++nURfTJ yCEDQqcdmXusE+v+XyF4n3x9cdjwIxX3LLF7cBtr2P/O2rnNPU2+U9ewlxy9 c0+j/QAewUZgTeyGfM+9vGsnXtL3JzLrYGvud/P+WbnfQ+yZHHHrrOhr0Xsg 9+Ebm6N3QfwAX0wJvVxcde16XMTvHdH/nB01NPXajXEXMrss+raT6o4lpwQv T9XcexlcdewghhBjh2TGIefWvHZd1MDUTexFH+RiaMAh5HZyPPkRW6uEvf2x bgz3h7rzZEfgWGL7d/FmcB+2RN5g3/aI+WCWoeF3Y+J/n+BbMAb9zzejfpwe b74z85kzM/chrgt+sFtsALsnvnAO+Ht+buz4Ue46gnOoDbEn9AeeZa0cvHSl 7j1sk29+HrnnX7nrIfoy5MY8/CIL/PxAyOeCzL3c8ZnfjqzAQvQG2qM/AP4m L5Af0OOO0OWEyG3YxuDgGX7pT6wP2/kfi3l51A== "]], PolygonBox[CompressedData[" 1:eJwll3lw1uURx5+EhDfkJTYk7/v+jmgVp4zVTqudek9n6hQRRkUMCUEqcgQj DggKFblsxbPO4I3Wi8MZ22IFQUstthVEhRFRDgVMaEKEQJWhGIggYgDp5zvf P3Zm97f77PXss7u/vo23D51cHELYB5QAF1WHcDATwoTyEOqjEH4EfX6xv3VA N8UhrMqG8HCvEMaC38i34UUhfM+3BdCTgA/A1wOTwWcWQugqC2FURQhT8iEM Rv7OjHVeC/46Mn16h/As9OXY2pULoRZ+PfZXJSFciMzL2PquZwhL4B1Fpr00 hGHIHIN3Cv29kf0N9groWgHk0VcNvAE+D5l18F9Fx8fIPsy3L5FdBL0OeiWw odwx3QzvBeA4+K/xtxn7z3H+I/jbkG9F9hzsD8DXXuj/K7JL4LfC/wSf2uE/ D70R+i/Ib4Buhz6Arz05U8PZSuik3DZl++zIvvUjh33Bx+at+0rs78B+Md9O Q3YBPt2IfD02XwNvhX+Xcgt9A/Jbsf8V+Lec+SDjnB5L7JN8uwT7/bDfVnAs r6NjFvhuZLYgPxh9e8Bv49sb5Y5ZsS8Dpmcc43LwW+Dv4D7HQ9dC/x3YC34p +g6jfzP0SehB0Cehv0HnWHQ3QFfh34vwB2Yc0/zIMSrWgL8L4Y8i/vXwp8D/ DN5hYDT8K4Bt4OPgXwU+APgPdCP0RuSvht4FPQu6qcIyrdAHEud2OPRX4Eux uaHMd/AaeDc1NZPzT+LfAOyvLbg23oP/hO4DmAV+EpkriGcxdDN0C/CKdKHz 5+j+BJjI2f9CDwGvBcbjy47IZ5vw4VRVCIeAPdgfgb089sYov+jq5tvF6G/h fH/O5sjHGM5XRa6ltaSoT+Q3qbf5IDp7wB+IjmfRtRSYiv0/QH+RdY2r1h/h W6neKnQNsf4W/bvQ3c17mgq+B38Wwx8Gvw/yB/m2E90j8aELvCNxbegOdZfy Ub4epaaK0HcosaxiUmx/RMfT6Pop8T4jXxL7rpx8CX4J57syjlmxbwWu6cP9 4NNB5Jfm7Jve9GTk6+B3IH8/UEy882P3GuVIuRoBrOPsTs7cAD6JeB8sdg3P 4ewPkW9E/iD+fo/tTXw7Ae8A9MbIPUm96QLgQ873ACagrz/6dsKvgZ4DXQcd Jc65cj8NOIqvl0a+29nQl4Hfm/LmVIvAbHxZXTBPNfcOeFPetToI2Im+Bug1 Gce4JfGb0ttSz/gZ/o5G33z8/yU2RoHvgp/P+s6ncrY/8c0FbyGer5Fv5g6a sfUZ0Ii9FuTL4C8DpkP/L/FbGAFM5nzIO/bzgfXw3oX+SZlrZhxnv0XfOPVG 4Cxsfcq3I6X+dib09cg/A34x5z/i/PV8y5D/P/OtFnx74rerN701sQ7pqiDG ELkmVZtjgDPgnQ6MBn8X+cPY7oL/eNZvTm+vM7HvO+BPwvaWyHc7SvXN2b2J Z4d62i159yT1pjM58xa8NmBghXuGeseJateCbFwZ+4511/dw5wl4Xj0F/BX4 PeUrOVyc9Uz6sOBv4rWQsyboW4FXoTdhY2pqH+Wrvg2N3bPUu+TDzfB+gf+V +NuGzXnoGobM8qzvWHf9NfKdZX6TdyD/eeLaeZv0tYM/mbq3H+DbU+B3AUs4 28aZaeAN6k8lfiPDE/d89X7ZaMDWHcpniXvClMQ1olqRTz2xfxyfZmF7D/of Qt88oLPCNaJa+Tjx3evN6+1vhr6swjW9Efyk6qfINfgS/Bmp3/J2ZGamnmma barxQfBXo/PH6N4P//HUPUG9QTPuEHgb/pwNry/wr8Q5Vq7V88YX3IPVi5WD OuTfQ+bcCtfoVdCzgduwfx7f1sJ7PzFeTbzHq61TuhvwuTXnmaDZsAn+C+Sj ETi3zD7K14XIlyB/BjlcAP7PxLV2jepPsxq6Enoa/KXg96V+y+oR94Mv41uv jGWWg3+DD5dnvUNolyjh28Te7knqTbvxqQ75fsivTmxDttYofvC3qoyrB6gX aKfSbqWc/Vv9POez2tG0q2mH0y73NvQ49crYuHyQLz2g95fah1LVR+q7U49V r70nda/RTjIn9QzSLKpD55vgf4s9y7STaTe7PfZuqBmtWf27gmurQzo5/3TO vVwzqT7xDqZdrIzzo5FfFHtX0M6p3VM7n3a/bvLVSbwLazybNFNervGM1axV z++C/ytiOpHxTNdsj+CPzHpn0e7yaeLdQzvUTdhLYs8yyaTKLzL7yr2DrgQf gvyf8HUbPs/F9ydSv0W9kUcL3hG0K6hm3kFfbd65WcG3++Ctgj4H3nb0/0Bv OXLtaQd9EXsT4TdnLLMfW92Jd1vtyN8lrlnVrnZc7braWbS73Aqcwp/jxHx1 kWfuZvyZnrj3quZW5txz1Xs1I0+Hvju2L3ojeiuqedW+Zkwz/Hv5dl6Zd/g5 4P+A/wX8VvLxpuo19l2oZlQ7mdizUjMjqFfGvkvt0NqlT4vdy2oVP3gWGJL1 zqfdrxf04Kxz3E4svWPLaufU7plBZ33WPVq9ujrn2a0dVbvqisiz8Tpkyjl7 DP6MjHe+6+D9PvUurRwpV3ML7j37gEdS35HuSv8wMwqekZqV2vmKuJuRkXd7 3dFN4LurbEsxKBbt5NrNr4XujL1jaddSDe1FdlHi2lEPeQn8SJVnmWagZuED qXcJ+Szf9Ub0VtRT7y54RmpWquduSrxja9fWnXTA25vzv5JqXrU/NHJtqCeq N1amnnW60zXEc6Tad6mcVqLrsdS50Ex/FHxCwbNFM+lO6CGRZ59mhGbF51WO VXemu9M/gP4FtEOl2o1j7waaoZql+xLvyupp6m3/B9YEKnQ= "]]}]}, {RGBColor[0.941176, 0.906538, 0.834043], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtVmlsVVUQPhTtoy2v9J7y3rv3giagFVQ0GjUsKoiyCFTWSKINIOBCKRQh iuCSAAIuoKAkirRAcS0ii2w/BDEGIYICjchiqKVsJoDEUmrYFP2+fPPjZM4y M2fOLN+cdmMmDS3Pcs4VNnOuOeilFs7l5Dl3FnRK2rmToH1D597Kde66HOdu B1N2xrkz2H8J5y9jNGJeC/pkgXM/QHZwwrnTSeeCPMmQj/yHIZcHXRtxzzHv 3Czw/Y79D7D+O3AOR+4MaIdC507hrBobO/Kkk2dLIN8H+72x2A/9vyQlPywU LcM91dD7KB6UBu2F/b6Q/Qf6jrR27jHIfhM51wTebNjVFW9Zh3d9Dp4D2BsS aj4YdErKuXrw1+NOj/V22gjZFOa3wFcN0D82V/7ifSW4eyfmWeAvhl0DkvID baXNV3B/W4wnsp27AXvZmF+PeQo6R6d1/yDst8W4D/qboH+X7fO8jcnOT+vO s3bvodbST9+MgM0P0i/QuRq2Ncdb/gDfZayfxv6VSD6ir3ZHovQh/V8EHx2E T+pw3j7fuXYYJ6BjP/h6gOcAaCnWxeB5PqH4TECstkD2Kdz7E9aHwbMPvDUY tVh3CLTmfH6sXJgH/U1Yjw8k80Is/vFp2bLP7JmSq/PdGNPBcxD702LFj3Gs xbtvg423YlwD713wF9zm7gbdEOqO9aDrcdaspfKvCXe2As/pQLk3APZMBL2Q kE6ekRbbnPYyh/+EbLdC8a2Dzm1J+Zfxrgql/1/c+wDGPMidg/5R8Mku8B+C vc+kFWvGvBFny8HTBrzLIPszeH4Dz0boi/KUmw2BfBCDZw/OutAvkd60w2qB ucnavBOP/gKxL8f6PPS/GKs2psaK13aL2auWN3Owv8HLr3eALoZsHfYn4PzH SH5xKfmGc9oxMtabR4E2S2mfvGWBcoBvuGS5sB46q80e2vVOLCx4F7QS632w pwJ0Iu47SgyJVd83W718G2lez/h65dpor3dU5egtU72wZjFr3KsWepMX4yr4 skH7eMWtL+h5r5pl7V4NlNfl2Mv3yp3JXnXIGCVw7yzYtxX3DsFbn8UYCHtO 4nwl+Iog/yVoJUYVbFjKe8EzAjyNVmeMEWP1XyAcmAOeNRjPYb0Z9E2v2vgK NMG3gGcucStUThFLUlg/jPpeAfpdSv6kX3tifRP8fBbyezJ6717QGRn5k35l PInJRxPKKWId82p4qH1idn+vvX5ee8wn8tPH1MMcJa2z+UNeWNLD3k172Asa zLcNkfDmYgvxbbLewR7SJpSfa5hrCeUP664T3pAM5OtpaVH6njVHXGb8JkH/ KdYw6CavHGOuhV65/yloJ4ydlAW9EgjXl3nlN/N8HWhHrztHefU34gLz5rgX thPjWRuskddgSwHWXRnHQmEisXEVbFvLN0B2DeimjGzbnFEdlFkNFHlhyGrz GX3CWG6JhCHEktxQebgBsjO98Ib4tDQU9pVgvySp3CB+FgTqK7T1e+TD2+BZ BHtPRNo/FinO3Of7iV30H2NEjCRWsq/QTmI3a5a94v6kfMf7eO9y3N85KRny b0up94/B+Sr2UMzvxfx8JPv+Av3QK8+Z72MzsoE2Ere6JVXDdZaPzKW9kXRf 8OoDpdYLaBNtYMxm46w7ZK/hrBH+6oxYPBKqFosNK5ir7AvMU/Yo8vNvMRA2 jGFvhr1Dc4XDjEeu5Qxzp8xwi3ctwHo15BZ69dgVBfIh7WVdUIb/AM4fhw1V XjzLQRfhjv644x7WYmv9CQYR99KKx8JYdrGf0jb6tov5ZJzFgjmzMtScf58K r7hdxvn7kD8H/vdi6WhvenZFqqXJKfmR/uTfgbp5B9fsH8TvN9ibkso95hn9 Qv/MjoUP1E9bZ3jJtgRdglGKN34EmpVSLxmGdx0xfGHfYM8iD2uDbyG+0dfs bYxzjtea+/R/TaR8GJ5SDAsMH32gXCKO0M6xZiuxgRgx0Xok4zU6pXqi/awp ygaB6mRBrFxlzuYHwp+t9lcZZ7axvzMnaM9ar17Kv+elSPdeZI1G8jH/qnWG U9RTEUq2c0a2tzL7mXs9rY6Yz8R+6j0YaX8k7Hkdth3FfFasHsbcpY9WGf6z D/CvQBuXhOonJVb7r6T15pmxMJZ6uP7a/jn87/DvxRqqDGVvnWHsr/YWvon/ xOaB/EZe1h3z/xpyrh/03hjK5/n2XmIb30jMKbE40VbmHPVPN4wnP2vkEy/9 H3vtJW2f94y3/z31FZhOYg/jzZxkH2McmQPssezF/N/yz03e46CfGYZ3tF46 zvCW/2nWLf/I1OFNT3eLDeMyN1Ztskb/B5Zc2hM= "]], PolygonBox[CompressedData[" 1:eJwtlmeMlkUUhYe2u3zLAt/s1yUmKGBEg1E0iFKkSO9EEkEpC2oQBKQTMdJE kSJgYqGuDUFUOsZg+YGSgFJERRN6MwE1wkpCU+JzPP64yZn3zr1z55Yzb8OK sf3GVA8hrEVqIrMKIRwvC6FGaQhXYghj0yEcKQ7hAN8mopuKHAJX1g5hVyaE Kdpf4m/TwPvzIdwPvq9aCPvAM/l2ucQ+Z4MXI0XY/sF6KXg7ZzyVDGEHZ28D T5APdAeRkRmL8A/IJHRH2DOfvT/hcze6TaxHYp/j2wbwkoJ954m/SXkIm1Fc Iv5vkaHcpVY2hFvZex77IvANbNuwfxf6O7EvQx4tCqEr9pPAbZFf2dueJKXB tyNj2FtZP4QV4N74GJ4IoQv6EcTTmm8bE46vDXgx8jHnHeLOS8D3aJ2wz4fA Q5Bn8Ncd/VBwV+QSupY1QrhGbMNYj0PfA30FeF50fm5D9zL4boRUh13YNAfX RlazPo7NXeD2yOaE79tBe5GzrFtyvwngIuQ6686sJ4LHIy3Ap/l2Pek92luL nATwrOhcPah6RtvIVjlRburIvswxNwV3QbYmfKdu4H1Zn9eEoC+yPv9/7b7G x5TonCv3N9hTF3yZHhqOv1bIY9RvUNrnt2N9CN1GjP8q9p4rrFdF5+5t6lMJ zqtmdR3TDPBSpGFd13wO+C31T33HqFhfQl4PzrFyXUG889Ddgc/u9NOFvGMf hP4iuBF7OhU7Z8rdOe5TD/sefGscfSfdbSBnTI7uAfWCzlwGfjrj2dJ56v3V 0bGrB9WL7yA1kj5DZ32A1Eu6hmPBWSSZdE7Hgc8QUy989WH/8VQI7/GtGfGW sWeNfEf3sny+q14rd33lbxt33Rw9i6PQb1WvRt9FM/qJehvZU+yZ0+wdyLpW /9UMX6c4f6fuTwynwYu40zlwTe68ADwq53x8g4wG/13u/lH8e/FVnHKvKab6 6J8nP1dKPGNzsZ/G+hjnf45MBfcqd71fQT8c+yPY9yx2T+zIe6Y0W6rpBWK+ lnIulYOrKc+UZkszU5X0zGp2xTGtonOm3GlG34/uQfWi+v97/Fel3OsPsD7A ehj671ifRdYR/2jFW2KOnJE1R4grdMcnwAPSthVn7sV+CXt2cpeRSHV08zPO nXrwVe7/Z96997hmLO0aq9aNWH+B7kTKWDlWrj8k5sZJn7kW/FE0d4jTm4Fv zrl26rcG2N7L+T0Tvr+4dghnfllmfunC3gbkO1nqmi5Ed0OcU+oaTSfW5th3 S5hjxbV6Q/SWiPOms55cMJcfZX9//M1hXZHwG/Ec9h1yniXV6GfiucadRpSZ wzfl3JPqTfXglmiOF9drfmdnLcKascboqmcduziyWtZvlt4u5Vi51kxrtsVf X5HPvmn31hlstmVcY9W6tXKObkXOb8l47FeCXyu49/SmLWT/Mr7tRt+Pb8vB a3PuBX0bkjZnyp84Yia4D/o1pX4zXiCe1Tn7Vg+tAndmz+8l1uttaRJd7+74 eCOa83U/5Vdvy568czuLPdU471L0W9wUzvus4Jqr9gOxXw9+GPmtxG+E3orB aXNrW725+NqS9VugmlSRq6q8e08+9G9wMO/ciJPFzduz5hJxwCn8PRvND+Jg cXEmuhd1Zkfw3OhYxGHispN6L7C9hf2fFvzmaFbUw+v09kbHIw4Xl19Nun7K USfNbt6xy8eP4BejcyXOFHe2yLo24ojDKXOAuEA92AtdSDt34pjd2P+jN7OO 8zMT/S9Zv6X6VplzzVQbzYRmQz2uWmhmBhecc+VeObgpZ84T96mnr+bdk+rN /ehXgB9Bf4KzqzhjAPhiyr0pjuzIen3Wva1/iqPRMSk2zaBm8c3ot0Y9ol7R P4D+BfQGJFT7jH2Lkw5n/E+g+2he20X7lO9j+NyA75N5c7nelCfJzcrofx/l fDl4QcbcIQ4WF6tmqp1qlFD/5jxLutN47HvnzK/q+b7g/llznThUXPovabR+ eQ== "]]}]}}, {{}, TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwV0LkuhFEYgOGPxEhoZOw6lQtQSLQiUZFoMYOgIZQKFNYb0I21pLMECXER 1hkhsV6BJQYhninevN96zv+fxsGJ7vGiiBjDclVEc21ECRKYrInI8WZdxG8y Ylb8x9Pqiw0RM7zEP/a69Ibkw0jIq+sjSrnC7ntlxIH+IZ7sJ9U+9J/wjEeM VEe88L2dU37gUXNj+JJ/Y1e8jz30m8+prYrX0OPsDV7HjfqA/ra4yd1bnJZn 1TPiFbSYv3XHsdodn3Cr2R29vPgTvXbOuI/PuYevOcUXfIVLvKHc3qN/O/Ie ZYXvdP6r89rEWedn5O3ib/EXOuV5XjA/5c1meR5zyBfeWD8lTqOj8H9mitWK sIoV/ANX3Uq7 "]], LineBox[CompressedData[" 1:eJwVz7suA2AYgOGvLgF1LImBK3AJEoPEqdFdTY51VhbCqEVZ3AGJhMlgIRZR ibIrcQeOo4jH8Ob9zn/+jmxueCYREVM4qY/oboyo1kaUGyJGMdAUMYRBrOul 6iKKLRE7KGDbzC5fJiOy+n36V+Jj8RE+3Oyx+6N+L6/819xPqr3ze7Mcb5i1 98k5XnRzwu0FHuclXkba3qT8zlzC3C0Hl3mOV/Xy2PTOkPxcPI9ee/PyV/UR cQZr6lU84VB9ijd4mle8tYo8buQl9Rr7af70p0fvZeT3/IAKvvwn5e43X9hr FT+a//X3dnHKXhu3csHNfvUx/Wt3DswX1fZ4HyV06W/pd/KL3on42e0zPsUf HPRGUA== "]]}, "100"], Annotation[#, 100, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwV0LsvnmEYgPHbRuKszpPFn4BO9ReQONv4PocJsYhUWk06klgYJE6JlU34 RMJmYDAYxPnY6tKqaEVCws9w5bqf+3nuw/tWJAYa+tMi4gtGCiJmSyPmMIMF zGP8Q0Qdj3E9n+VHZJREnPNqWUS6+A9+4x5/cYf94ojFcv2w4V2a+iozOuSr eVtuuDBiryjiWa+vzkPiJrXfxKNIOg9ygg+8SaHXfQ/W7ZLCg14rembKZSEH 2fj3vivOcYpusy44wSfcxUec5GP+zAPq+tGHK/tuyl/yL+51/4Nv8ROPyDM3 H7v228G0+L99EuqT6EQ3urDmPtd9DpaxhC25TUyIX8z5yDV49Z2H/N3MWv06 xZ/4xptK//Oan+Qe5dY4hRs1eeZcc5PdJr1p5Clu43Y0oxUteDH3DZkoVSI= "]], LineBox[CompressedData[" 1:eJwV0b1Lm2EUxuEjSeloMTWfg0Y6OHXrv9CpQg2OunSoQk1iIxpoC62TjoLo 4uZq1NFSCBQTp0aEgqMOblqbQmntIJJeGX7c5+s+53mT4qtqqTIQEe+wnYpo 5CL2sIsD7OPz44hlekjrNDIRo9mIf0MRX/IRI+LvaqH/UPyXjhcibmliOGJK 75nddfGl+In4BZ3AHzMfeT5hBV/NPLIz604OGRSQxz3fKU/GXBZ55PDbOzbp FjrmvuGlPc/lR+IST8+dddpORxxjTW8VO945K6+5OUdLamXeLl+F/qA/cYNf 7hTtGMOJ2Q42xHfe1dJv4z3/B5yZHbSzace1+ht6RefpDM80CnwXdEmtZfap fFL+2t6U9zbV8mrnagneJB4gYX+y/63qXXfS4h5PRa/BV+7/h7RGF1HFWyz0 f0Nz/wEUbUot "]]}, "50"], Annotation[#, 50, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwV0UtvjGEYh/Fb2modqtUZdVpI2aHqrJTGYYm2IRJr6QY9WNhUW52RKiVh YynhI5QokSBKBZUIFvgCTRSlTj3NFL9ZXLne/3143veZqTjWeqhlVkQM4F5Z xK8lEb/xE+P4g6ZExJdFESeWR3zlT/iM4/IIJ5dGTJmbxiSyyKDZ3ph+k7kf PIrvOCl/4+LFETfKI3rkmzyuNolmeYJP2c9yqzzDU8igRZ7mBfa77KXkFLer dWK/3MFhP80H5XN8FikckLs4YT9tL53rc7daD+rk85xn/yLXy718AX/d9R8y mEEW15ZFHHXfR36/DfLuZMR63sMbudE5+zyXOGcv58uPeaU8wINyh7lOtKEd Z/DQeVW+8QH3ecew2Rp5B/rtFNpv8N0juIoPZhrUu/Xr+b18Rf2+POyMJF/2 nZfQi3L3eYZB3JX7cQfV3lPp/e/sbvP8yjm1zlsll5mt8t4EF+kt5HVyKT/F LnND5rfqvTW/hV/KO9Ur5PlmKs0Xc4HePJ6LJ6gxs1ntjblN/MLedrUVcpH+ Wntzcv+LXiGvkWfzEfeqNvfcfJv8OndnM1n5uvphOV99tfkCPq13284t9GHM zAR/VP8P2TF1HQ== "]], LineBox[CompressedData[" 1:eJwV0rlPlFEUxuGDu6jEHbdCTNwXZhhk1cq1tgGkM0HFQsOghZUJIwzaKruJ C7j7HyiLmlgYRbRSwVpJLFwqLdDnK355z3u2e+d+U3Li3LGzBRExjonlEefX RFxAoAB96yMG0I+rKyJq1kXUohr7sQ8LVkcUolXPQvrOnqzZVswUR/xDt1ov enDFnr3mKlCOKlRivtkymkEp0khh3L6TayNOoQnNOI2n9gytjNho5yC9yM+1 I8vPo7MwBy38bPrWnjy9zHfSR6sinqCRf0yXmX9Aj/MP6V3cRwN/j74x324u x3fQO3JDqE/Op0vN36J1/G16E0vcvwiFWIxFeG3PoDd5TnPeqA3T+Gr+htlX 4kbxJr+piC9JlG+hG/gsbeIPe4MjOIBDOIgxOz/imvt1Oes6PeOsZtSZmZSb cK/v8t34wjfI59Xr6RTfJf+Mn7anmI5iBMPYbPYD3mPUPUcwjKPulHH+Jzt6 xT/syYlTdm3RW+HeW+klte20kt9G08n30PdTf5/aZ3E//cW3i8vUd+ir0r+T dqvtpruQUevQMyA3mbwd/W0uLy5X26On2lwp7VFL0xo+lXwzv6VTXxc/w0+J X+qJ5FuK65L/onwtn6Ftai+Sb4Yx/NHzl36T/w+UAHNc "]], LineBox[CompressedData[" 1:eJwV1ElsjVEYxvGjEgvEAlUtEjOJmqmitUBoG1Ux1xBJTR0MEWJDjKWtGlcs FBGUmkKwNpReJCgt2tIiSIhiYUis/L7Fv8953um8371fb5+89bPXtQkhpPnT 2jWEuO4h/OsSwr2EEKpxH5XiNWjTI4Szcs+cz9E4Pub8olsIHfArKYRy8Vw9 Y+LNlB9Ld6spSQyhFE/Mf4pKddf487SWf4Z9fBny9ZzVc0b/fvmJZqeIjUOx eLma/Xiu5wUuqLnOV9F6vg4H+QMo0HNOz2+7HZBPMytVLN3s8XSP3CF1h/FS 3yu8Rq14E21EAx7yR9QURnvQXP62+B3cjfYQr8MEPPD8NYhhIIYgGUfd3WyP JfYo5ZfSFv6YeCs+6f3MrxafLD8F391zTay2cwjD+CRsd/8ObMMu7MQDPXvo XuxGtb5i2lm8v/1y+H50Fh1AY5hk1lc+2/kLTeTTkYaO/Ex08Tll0/bmNNpv Jd9EG1Bor6JoXxQgHzX2TKI9kIhe6Ik36puxSv9b2tG8CjqfP0GPY1/0/qAE ZShFzLwN9luA0/Zq1jfXPvH65kT78Sk+uy38ODoWmfqyMA0ZmI5KzMcCzEMu FiJV/QRsjd4HGm/eInMT+MW0E4rcuwY9UW/PxXZ5SddG37PzYCxVN5AuoYNo gjkbnTN8B1nIjN4dsUdyj7EXN93f5PkGm5OCKvefFLtIN/EbcUlPW7uki/3E ieg9UbNcvFw+j37kK8Qf863m9Y7eOfclu7+ve4bSwuj7NaeAXhW7gssYxier bTEnL/pfjj475ynmZXjGqXoyaYLccFTLD5cvch5B7/MjnN85L6d1/Azn6fpn 6pumP4d2lxsZIbeGjqKj6Hu6gtbry3aeoW+u+gx982iS3Dax0XLLot8Vuln8 A30i107djeg3R02ueBa/iN6SO+l8ChX4ruab5/1B/5jzV/4/Sde1xA== "]], LineBox[CompressedData[" 1:eJwV00dsz2Ecx/Gn1oEYpcOIUWK02nKltP2jykW0al0ooW1CW5sWCQkXK4jE wUiIOBgXB5siMUrtVQcxKkHR4uJEvJ7D2+f7+Y7n+f7+fWQsri2tSQohZPrn YN8QXqSH0HVACL/6hPCHz0Eu9qaEcBl/+4dwRO2q+Cj9x18RPxL/Tg3hgNlN 4jnOqUkLYTNfS9fqWYev+mvUr4lraSu/XvxYvI9uoUP093BWT2yQq8M3fSvV rotX0e98vfiJeD9t57eKh5pNMTfWval0o9om/FBfrd4gXkPb+M3i5+LcfiGM E1/wnRdxCXfMLnbGXZqOXXK7sQdpvi0TWdjrvmZnzXLOdr6MvuH3yX/DA7Ol cpVqVbjPJ6v3QW/kyDX0DmG8HfLiHpiICThvrsZe/e1RTTvzU2gvvoiW8EvM Nzpzvr3u0ZvurJBbimb1Yn3J+qfSLvxo9To+m2Zhih2KkMBkTMJJlKAUM1EW vy/uqn8M6s3n0m7O2+XOmfxuuhMd9XVCQAckxW+12wqk4Ji9utulFCnmSmh3 57w3W8l/oO9Qa24Flsf3gmo0+p0G0yEYhKHIwEf9n1BlviW+G+fNdW4aP4++ 5Qvdm8Ct+HeRm2GX77RAriK+V/HsuJP4Nh1m9g49wTfpfYht2I439niAsWaf 03N2KHduMT8Vy8x8kftslzb5w2jhF8nvUC+nH/lD8o18qzMGxjflbz7cnaPo CFqBvvZYSs+49zROYSSfpeeF+QXx/4Czip2Zz+e5M9/MhPg7xLPQoD4qvkFx Jr3BZ4pf6l9In/LT5Av4ieYKzOfTXvGeiFoVHR3fD32lr5w+Mzc9/rZ8gf5C c4Xxfautjm9RPVt9gW/Lobf4NfKv9Tfp6aT/rHyCT8gn+En0lNpPM1/U2ulX +ose9+3/AerPoXE= "]], LineBox[CompressedData[" 1:eJwV0jlPVGEUgOGDicJIh4IDCIoLA7hFZSxcQHBJ3CM6mLjLoKVg41ZQqLFw AwZ3owJ/QkUrFCtlGpfE+AOMnZ2JIj5TvHm/s3733pm6rp6Os0URkcdIMuL7 vIjS6ojfcyKmxI1oQt/ciMryiNVqSa6viBjVM10VMa72yfmGfBsfsqNXvU/v OU6oV6utEVdxSq5d3wez69U+O2/gLYWc+nzUYLbcAl5rrpYbzG3V89HcRrUv zpt4UrytkNezEM3667hUbTGnxYu40fx2fXn9LWpfnVdVRrQ6j3nH13iDSb1Z M3legn65AQyi3Lv9KNPLv+zL2HHduZO/2ZuT+4lOTMhdUruMjHiP+j7sRVou hVb3b0YL2tGGF+Z6C9/MM/RwiXgXl4l382HxOn07nZt5B6c5ad8w3nu+rDu6 0YUzOI1H3uUJMvY85oQ9D/ig+CHfxX0cEN/jCXuueu4r4ms8KDeEDnGOi833 837xAN9BiXsSmIlizMI7e055vi6cRDeyGDM/WviNzY/wRXG4p1dcxNP2rTC/ Ek1YjmV4a99R88dwBCdwHK/MD9tTa/45XxDnnIcwiCnf5g/+4qb4Nm5h3L56 e1NYikY04KX5Z/bU6HnK58VF7pmBf/4LwdNcwf8BsJFqNg== "]], LineBox[CompressedData[" 1:eJwV0blPVVEUxeFt4RhkerwJHCMWRv8Aa+VBBI0GCw1RHhgLbbQQh9hYKUKl YEDoHClUEB4ogh1agLGxEUlMNCbamNip0Th8t/hlnbX32vucm7v52OnWU8si Yh4juYhP2Yiyuoh/qYjyfMR2tR3orok4nI7Yo3eI7s9ElGSW86/13vNp/K6N uKneZs8Z/pJ+V5KVOWiuiW+lLWqDcr/kp/SW+Anar9bsvFdmHx6rtdCCuWba qNcn89PcuN47foz+4K+rF/hGud3yTfSKXoHu4hsS1b8m911+VG+R3+k7O53n fOcLvMRb2eNmFpNd6FPrxw1s8G1fqyMW6JD5D3a129nDF+lHflj9Gz6b/cKf UG/QL+CPuwboIOZk3ti1hAP8Q9lHyT73dKCIaZlZ9HrPDH1g1ys76vkFmuG3 JB4nnefN3NL7y2+jJfsmUWd/m96AcxoZ1CCHbHKvt47hiJlRmrerRNv5yeRf YAJH+XG60b4e77nM99Iptaco8k/oJvOztJN/Tqcxgw7+Ga03f9tcN3+HlqEc XfxaetF8NT3Hp2gFqnCWr6Rbzd+lV/l7NIMczvNZOmR+tX+7BiuwCiuxDvf1 e+RGaB51uMDX0uHkXpkUKlCFSqzHf1KGcUI= "]]}, "0"], Annotation[#, 0, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwV0LkuhXEQhvGRuAL7kljPobRUlgS9xlFaGhUKNERjvQASu4LEVqi0csJl IAiR2BoUlohQ+J3iyTPf5J35T77KgdHukayIGMN4bsRyccQKlrCGVczlRXTy LD/nRLQWRTzxcUlEizpdGPFt9oefZGpL5fhEb0LvlFMFEe+YV6+b21H3md1U byDpu4MTvM2HXO3NBKpQgyQezb/a+cBv3GhHA7J8X/m+xhba9I7sSbuzXT2M IQziNnObXTfcL9PjrR7uQy/+zNTJ1ePCrnOcIVu+wlwlytEu24Yy8wn+yHcz f/Ko/Aim3PXAX3oz6jH1dOZWu5L+0yW/6N1nct57RDOaMOmNO7ekeEGuixd5 nw+wgz3s4tcN/zAmR+0= "]], LineBox[CompressedData[" 1:eJwV0Dsv5GEUx/GjIBI0roNCJvsS3BoSKwrj0ngJypWsSMQtoadAxF1tdml3 0ciuLVwahWsrCooZiQQj0Wx8pvjm+5zf/5zzPDPJweGB7wURMYr5iogftRE/ kcYudvJURnzL5zzE2fKItkTEa03EG16QMZvjBB/WRZTr/eM8LvvLxfURA9UR D+oFdTen8KxvzK5xTKBLT6/5a3dMqSfxz51HqNJ7Z6ZR1oQWNKPBvmvf9vXc 8AGfy/b4Sv2LL/k3d+rvwFdk7Mpi3tsWsYCkuW3f0mhFUpaVZZyf+NiOE0yr Z3DrnX3em/LuM5xiyc7u/O/gHiybe+RK2YfeVfWIeoVr8/+T7IvzvazE7lKU odD+IlzIc+5pd37nft9mzfXxHG/yFtawgXX8d9cnIExLzg== "]]}, RowBox[{"-", "50"}]], Annotation[#, -50, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwNz7kuRAEYhuFPOehMxhYSXIELIaHSaNRCYyo3oKCjJ4aYwWCIRKW0XoLG OkQkkklslad4837/cv5zztDM/ORcW5IJLBWT0e6kA53YKyVNvutJDruSFfmI 9/XX+5I6b/AYl80aZuNyTa6i5d5Fb/Kh/+5GWV7Aif6wXtPuK07xgmf84dbs h695zZ0b/lW/yd98pV6VL/lLXXJvRH0vP+AMT3jEoJ1Z7xzgim/YRNH+ud4n b3tuWq9ht9Dve+0t6k2pd/3bMe9wDVUcmC+b17ll1i4XsIUK/gHehDt8 "]], LineBox[CompressedData[" 1:eJwV0LkuhHEUhvFjSGg0iH2GqfTuwlJNVBPGcgEkEolg3AG1fZeoLIlGkAwu QCh0jCVhLoCCyu8rnjznf5Y3X77sxFRusioiClhqiuhtiahGDYabI/paIwbQ j6LedmPEenvEBtZwZGeTO3nafMc8rU7Lqu+IyHCmLSLFKzJW8dsQkdP743m3 C5jDjLsij3ABx+oLOyfqV3cl2R/8yG/8wO/8JLvML3jGvfep/Irv+XZ7Y29Z faW+xq33D1/KLvF5ko8yUmZ5t19yKvhM0OvR65ab9e5K8u3e6c/KHVIf+tYz 3uMD7GPXfNF8TD2OQbejdur0apN/iS38A58iPec= "]]}, RowBox[{"-", "100"}]], Annotation[#, -100, "Tooltip"]& ], {}, {}}}], AspectRatio->1, Frame->True, Method->{}, PlotRange->{{-2, 2}, {-2, 2}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{3.662261156940632*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{"\:0417\:0430\:0434\:0430\:0447\:0430", " ", "3."}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Clear", "[", "f", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"f", "[", "x_", "]"}], ":=", FractionBox[ RowBox[{ SuperscriptBox["x", "3"], "-", RowBox[{"4", SuperscriptBox["x", "2"]}], "+", "3"}], RowBox[{ SuperscriptBox["x", "2"], "+", "4"}]]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"f", "'"}], "[", "x", "]"}]}]}]], "Input", CellChangeTimes->{{3.662261173113181*^9, 3.6622612762581005`*^9}}], Cell[BoxData[ RowBox[{ FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", "8"}], " ", "x"}], "+", RowBox[{"3", " ", SuperscriptBox["x", "2"]}]}], RowBox[{"4", "+", SuperscriptBox["x", "2"]}]], "-", FractionBox[ RowBox[{"2", " ", "x", " ", RowBox[{"(", RowBox[{"3", "-", RowBox[{"4", " ", SuperscriptBox["x", "2"]}], "+", SuperscriptBox["x", "3"]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["x", "2"]}], ")"}], "2"]]}]], "Output", CellChangeTimes->{3.662261276945629*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"D", "[", RowBox[{ RowBox[{"f", "[", "x", "]"}], ",", "x"}], "]"}]], "Input", CellChangeTimes->{{3.6622617280636935`*^9, 3.6622617299280214`*^9}}], Cell[BoxData[ RowBox[{ FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", "8"}], " ", "x"}], "+", RowBox[{"3", " ", SuperscriptBox["x", "2"]}]}], RowBox[{"4", "+", SuperscriptBox["x", "2"]}]], "-", FractionBox[ RowBox[{"2", " ", "x", " ", RowBox[{"(", RowBox[{"3", "-", RowBox[{"4", " ", SuperscriptBox["x", "2"]}], "+", SuperscriptBox["x", "3"]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["x", "2"]}], ")"}], "2"]]}]], "Output", CellChangeTimes->{3.6622617311825886`*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"f", "''"}], "[", "x", "]"}]], "Input", CellChangeTimes->{{3.6622612813364253`*^9, 3.6622612935400696`*^9}}], Cell[BoxData[ RowBox[{ FractionBox[ RowBox[{ RowBox[{"-", "8"}], "+", RowBox[{"6", " ", "x"}]}], RowBox[{"4", "+", SuperscriptBox["x", "2"]}]], "-", FractionBox[ RowBox[{"4", " ", "x", " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "8"}], " ", "x"}], "+", RowBox[{"3", " ", SuperscriptBox["x", "2"]}]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["x", "2"]}], ")"}], "2"]], "+", FractionBox[ RowBox[{"8", " ", SuperscriptBox["x", "2"], " ", RowBox[{"(", RowBox[{"3", "-", RowBox[{"4", " ", SuperscriptBox["x", "2"]}], "+", SuperscriptBox["x", "3"]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["x", "2"]}], ")"}], "3"]], "-", FractionBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{"3", "-", RowBox[{"4", " ", SuperscriptBox["x", "2"]}], "+", SuperscriptBox["x", "3"]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["x", "2"]}], ")"}], "2"]]}]], "Output", CellChangeTimes->{{3.66226128610226*^9, 3.662261294555725*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"D", "[", RowBox[{ RowBox[{"f", "[", "x", "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "2"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.662261671822462*^9, 3.662261704063724*^9}}], Cell[BoxData[ RowBox[{ FractionBox[ RowBox[{ RowBox[{"-", "8"}], "+", RowBox[{"6", " ", "x"}]}], RowBox[{"4", "+", SuperscriptBox["x", "2"]}]], "-", FractionBox[ RowBox[{"4", " ", "x", " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "8"}], " ", "x"}], "+", RowBox[{"3", " ", SuperscriptBox["x", "2"]}]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["x", "2"]}], ")"}], "2"]], "+", RowBox[{ RowBox[{"(", RowBox[{"3", "-", RowBox[{"4", " ", SuperscriptBox["x", "2"]}], "+", SuperscriptBox["x", "3"]}], ")"}], " ", RowBox[{"(", RowBox[{ FractionBox[ RowBox[{"8", " ", SuperscriptBox["x", "2"]}], SuperscriptBox[ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["x", "2"]}], ")"}], "3"]], "-", FractionBox["2", SuperscriptBox[ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["x", "2"]}], ")"}], "2"]]}], ")"}]}]}]], "Output", CellChangeTimes->{{3.6622616883521037`*^9, 3.662261704959842*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"a", "=", RowBox[{"Limit", "[", RowBox[{ FractionBox[ RowBox[{"f", "[", "x", "]"}], "x"], ",", RowBox[{"x", "\[Rule]", "\[Infinity]"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.6622617646779947`*^9, 3.6622617889122667`*^9}}], Cell[BoxData["1"], "Output", CellChangeTimes->{3.662261790534292*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"b", "=", RowBox[{"Limit", "[", RowBox[{ RowBox[{ RowBox[{"f", "[", "x", "]"}], "-", RowBox[{"a", "*", "x"}]}], ",", RowBox[{"x", "\[Rule]", "\[Infinity]"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.6622617961843376`*^9, 3.6622618043845882`*^9}}], Cell[BoxData[ RowBox[{"-", "4"}]], "Output", CellChangeTimes->{3.6622618072010956`*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"y", "[", "x_", "]"}], ":=", RowBox[{ RowBox[{"a", "*", "x"}], "+", "b"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"f", "[", "x", "]"}], ",", RowBox[{"y", "[", "x", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}]}], "]"}]}], "Input", CellChangeTimes->{{3.6622618100126057`*^9, 3.662261874038451*^9}}], Cell[BoxData[ GraphicsBox[{{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[CompressedData[" 1:eJwtmHk01d/Xx++9xjJXiBK6JamkhKKcg2RIxqJU+EoTogxliJKhSJNIpoyR ZC5psj9lSuYx83Q/7iUlMs8/z1rPX2e919rvc/Z+nb3W2etI2zqbnqdRKBRj KoXyf6sP69i/5WU6IVcxXhHcJUcwvUUmOxbohEoN/8zOdjnCULBn+v0sneD8 9FyorkWOkDpwddF5nE6c5anlFKmTI76FhHH3MumEIoqdSfgmR3DL/9xEVNOJ oG8Wo3lpckS4m83R2zErfrtGRtk1OSKD6ppCUaET4YsPrN5wyBEc53X2ip3d TDBj0u4vim0n1raWOiY9kSaMuOq/Sx+UJUyLo89t/yFFvND1Ccuy2UZ4/z3k +JghSTxsrzQSvypDFN6Its822kR8wE7F1aFbCcOwE1JLURuJQAmBoYGwLYRO 3BdD3d/iBN3/NhyKohOp5Z4trqfFCNb08g0iYzNhFRAuXPtKlDBZngvcliJN +NqwZfGsFSH+6G23kU2TIii7JEErcB1xfKy/z91Qkmi/H3U3o3kNIWE213ac T4LYuPpS+oSmEHE1KqQtsk2ccFCS4+jYKECMV9iq7z2+njin0v2quJiHCMAq 742yhQk5D9VlpxRuYr/unl1W3GuJxC6zEk8NDoI2e6RxtkGAYPkJH9RZTyOO RWbupXuvIj5GyGoPmi+Cu3l84DIfjVAYapvYHTcFQslrDe1bJ8BtdNd20YAp WC6fa3SJn4DCab+zS/ZTUDblFXznwgRocMqVVe2fgpA6M8qHiXEwpXtFXm6a hH38h4tChcbB/ay4ajLPJBzrzknbdmwMPtZb3hLxGodEm3Be9RfDsNSalb9o Mw7LTblncnYPg2YvbZDUGYcecUN/g6+/oHLktXG+8DgYKPlocA4MQSfPvLRx 7j8wOxpwPkZ+EJa1Y0qCB8cgj3P9oT2VJBz+2LFq0XwUgj8aLwmf64Ss1y8P lKuNAsUv7qeUfwesj3G+/ERqFAp+16f3JLdDyzRn2NGmvyBSmXQwkNUKW73N BePmRsB6qJNVcqMZvvlN8mKdP9DJHq4Y6lMNCw8VOYN6h+Bia+UxSlU81DmX nxd/PQRKpzSTM8KfQrLx6dIs1yG4rRQTd+mTD+iv8Q/4yTkEp/g9gl3THqOo iAba9l2DoC/b/TJiIRspx15brvRkglCAlWWcTTG6mp49I7SWAS6mFXssRJqQ Ar+Tv2ZvPxR06p9+ktqExlx28rtm9kO2Rbigv1IzcjmYTm/S6YfZy4NaAUYt yL02yfDZzT64V3CV8tW1FY3/2qGnVNUDdX1PQ429O5Hb21dWzy70wJew8CyO qU405bPVbZrSAye4RRJNnLvQjKBk/AelbkhPyslLPduNFpTXTB6K74RQ42+y Iet6Eaf/TMIRlzY4Tc2VLP/ch+4auBek8baBZtWvS64jfYhb5F8ld1ordJz5 d8lKsh+tTh+e+tHxE17YRc7/8e1HArXdBkbaLSBh33ezfx8DPX5+2janpxk2 tz664mrDQGtsW28IeTVDnMOLq+r3GWjdZH1SY1YTBGrYfLrdzUDrN5TOWKxv BJPjGwfTvUkURWrwf8hrgDKjzKqlBBKJZxXRxY81QFfzo0shpSSS0Cg07PSr BztK063DvANIq8Zc72tLLah9vuNx8PEAOvKfsZs/Ty30stseQtkDSHdCL14b 18DPVFW4Xj2ADMQPTVakV4H+mYDL/lxMZH6BnthwswLoP0YzBV2YKOSa672w d9/hYvxE+MEQJvpys9jZdKQcVDl/x6UkMtGWp+fUG6zLQE9fD22vYaKTL/K3 hj0vBQHdE3PaDCa6n87GZ1pfAm770zbGTzPRP0juqNcsBjfLZDGuTSwkUzn+ 7Yn3N9ikEaQlosBCp1q0Xpu8/QpvH9JdbTVYiPjN8KjfSsBkchDk/cdCg38v Epu/FIG2tu7J91dZyIiT+1GS/BcYGfg0MuvLQpsUdXcmCX0EW3sNfdUoFgrU G5yT9i+E0jDBwv0vWei39b2KxIkCqJ7jdr+ew0Jm12WfS194B3RjL8b4Rxb6 GPr9QuLPfAgO0HLILWEh6eRLStJ6ebCzpNYzu5qF7n3gZk/8mAMSnGvvjDSz UHe8yUuNk1lAUQlacOpiocyqJ5oaahmgt7T54h6Shbxn63vwplewY5O1tvIv FtKTWeODqS8h22mblO9fFhI1MxXHZCLIuLUHrppgocrlLc63HsZB/BPN1W3T LHTp1Mt03+ORkPbz0ZE/cyzEnr+V9BF/AnPOJm1HFlkIixkcmiMC4W2q0wXm EguNPo+yG4tygYQnkpFVyyx0kxZeemT/KWRnPiA2t6Llo8+Vr1O+hXYI3kly XtHdYrkjPAKhqOTE6NCuFb+ZYuvnII1w1GRjmaW0wEIFbRZ37npHowM/BfPv zrIQHzFML7FMQKdU/IgtUyyEnmYEldxIRncHd6Tw/WOhaxcchkrCU5HtaJSC 1h8WSjqww6A0Nx2ZG5oeKmOxUBPvcFZpzRtksVSTGtnHQpy9r4XKhrORQMo1 w8J2Foo9paR6LiAXhffcEN/eyEJKWhEOjDX5aO2xv5O/frBQzc7J2HOJb1GM Qnrd0lcWolDeLZ8reo8UPbItpbJYKGpo3R7S4AO6o7ZIUUhmob2NbrZ2HR/R FnP38IhIFrJL3VdqN/MFvShvTrqw0i+Lj8KnyCBAvtzf9zet9FPlwbmneSEE oqt3jMXYrsTLWJbuFfuGZI1+71U/zEIKG1Z3u/R+Qx/ct8+I71vxC3ycyksr RryVTEtzOgs9mxWTVVQuRVFr5BL+LDNReVVbiKLZd5TBbRMJuUx0yaO9/PSO CnSY69CJ/mgm4t7SwR7A9gPt4wzPNPVnIn3vTt+m/Er0x13tw2ZTJqra3uPi vq4WTakdEsxmDSDH5p7suN+1aC9LyOxK5QAKwlenbG3rkPyM6+egrAG07fdV xfuq9UhBvXJ9g8sAuqTlktnxqwEZh9+1XRwn0f6of5V/zRvRydSpbeUNJOL+ 6/KLrbgRfXx1L24uh0Tp0a7bdsY0IeFA342pDiT6NeaWePNoC6ry4ow/3M5A jgk3IiTetKFA+0Zrkxf96ODUdP6e9e2oTP/991i3fsRr4NGgHdCO1H/cpl7T 70eZ0x4CTmc6kKTkE9aniT40YugVXMTbhdJMrneuPdyHCn2LirKVe9GumdWb N8f3INVdX/OMIxko2lpqutioDSk1tTwrqmAgaEr9bf+nFSl4//baucBAQqan c3NDWpFMhagW938rdbxU37+j5Cdae96pEeQG0PC8m9tWxRb0O3bDhHwRE6kE TUSSbI0onve6Et/AEDpxJbpTc3UFol0X7rQTG0WJhzK2Fp7xBEub1w2F+0bR g7Bvi1n6IZCnjyp4jUdRjXaF5oORp2ArebngbdAoGndvVigtTIBv3z8/Zp8Y RZ3I6/uoeBb4b7DTTqkZQ3yLa+3jZD4D+9e8LIb/OPqkhpDG7R9wJkPnpUr8 OPqsVlR4T70S3kZ0xtz/OI7ifqizF81Xgp09Z7Di2DjaMcv/ieVSDaVrLc/5 W02g/D/P1Ge310HQBep6+oFJJJfmaej+twG4eI39bEemUKFSCbziaIWT2ywJ 5VXTKGF3tbWecSu81rRbXr1lGqkZ5drpR7eCoaeHT/6paRRg7/rZYWcbPGMm eLKXTqN4z21PJPXaQebr2LXUmBkUce/Ui7mV+cKjcz7Hq2AGbU2QXOWa0gk/ pjlGDetn0OMSM5cjZCc4yYs7TXPOoqMNBr6L/3VBQYymva7LLJL4pM/36kQ3 aF9/avtLdw5tPVg/PszfC8+exCUWnZtDiWI/8me298Lgm7TeMN859K+NqZN3 uBdCGZ+s1N7OofO6k4s7PHuhyZi0DJWcR1F87tdUu3tBxnEkykZ1HrVyGkZm TfWCx92Z1n0n5lGYk1VHLX8fbCzitegKmUeF1ZFLYup9YLdDyUx+ah4p/k2B mud9UHAEhdGEFpDzlkcdmVl9wG2rV9+yYwH5v/xSqFrSB2+enzW69d8Csjur KGU10gcTHEFH66oWkFD56dIa9X7w723RckleRO1Kg9xudf3Q/eHoFY/Piwj7 dipLrswxqk+JZ77Ni+ihgE5OwN9+GNV+PRTCtYQ+ZxgK3OJjgFWGz6NkhyUk ekflgtIRBnwM+FeYHrCEkl+qNRaYMUDY6mJ/dtwSqk6zzh63YUCVoInS59ol dNNgxCTBiwGq17d0NCkuIy2jA68qXjPgmVEUe4fBMuLIs/gnV8CAMVl++b7z y8jravs/3a8MeNUxfftP5DJ6LDdS/KmFASIalTKcC8vo1WdxT78lBuznk5IN Wk3Btf/atKu5SGB6th9cJUrBrx507/opSIKmmdEFAQUK5rkJq2Q2kzDLceDD BlsKdlRcv+GdBgmpLuPVL5wouFc6aGhKl4TjPZn90t4UjLT1jGeMSMgp3Mwr G07BbIRzhupZEqy2dkllJFBwaX8H7eY5EnjCIpXkMyl4lcnrQp/LJFxw4LXe V0bBHkre3MVuJKxrLXN930DBs5mpXFxeJHw77HdPtYeCe5Tu7Oa9RYLEpqlc PEPBNs/3l1neI+FHSE5ZMTsV98Suj00JJcFj2r7jiBAVU6nZl3Iek9BU18N+ TI6KO1WOFfA/J+HOoWixOmUqTpOaiv8vhgSF18flzbSouKnqqcmNFyR0iwho tRhR8RU0uGyUSMJ9/wqLU2eoWP9xT89wMgn7R/0dOy9R8R+phzJHU1f4nVH3 s3anYuNW+VVOr0gIr5iJ6Pej4qTz0l+Ov17hqZz/+vxDKv4dPHhjOYOE0aQr MBhNxQ6XZJ2dMkl4ISDb5JBGxV+6UloTs0gwuNk/OJJPxeld6FdU9gr/wdjF awQV3/453Waes8L/hMWaySoq5pFmdrWu6OPfhLZ5tFHx4MVDO6VySaDtrlKb H6Bis+268ztXdE5MkLHvPypWVbjot7wSX7k2iCVAoeF9i6aPQlc0836gbyIf DZcF6EY2r5xHZQ8UVtxAw8eiRrrbV/LZeDPgTYksDfs/ob2JXclXZcJfy1yZ hm8rmR/e8IYEU0f/dpYWDTu+q/5jvlLvFfLONU8TGs5LPztitMLj3pk73DzW NHx346pQzhVeyU1+8bGONFwc28PrvcKzyMBPWd6LhidPzRdkJpDQVnK7Gu7S sI3erboXcSRMHLxtZxJBwzzHI+INo0kQeHdrvj+JhsMeONp/eUaC3K5bYW45 NJztqnJjOIwEGwlfIrKShtu5PZ2DQkjwjvCx2N5GwwOe5qzxQBKe8fmMfGTS 8FDz2AdpPxKqFr03dlPZcH8+xz24TgLL3TvfWYAN11sVCShcW+E54qVPlWDD zzXyVts6rNx/t6fHlv1sGD+2cuGxJsHM3FOgQJsNb1KmOPifJMGpxiNVx4wN V8ObkS8mJKQU3Wiyd2LDPT7Hsry1SBCMd1fITWHDxxhP30hvIWGHqHu5Zh4b 9pvvinm3gYQjj9ysmoAN/73lqMm/loSbt1xDp9vZ8I+pnAp+KgmD1tcGDwmx 4/7VonrH2xnA1nr1Vu0mdkydcPMWrmPAJuOrIv/tZMcPAitC4koZcBw7Hw7Q YcfTORXGbDkMIKSuJPzwYcdBn60Gdt5hQMdzR5Uz99mx43iEw87rDJgSdKz5 85wd0037hycuM2An1WFB8C07fmR/htlnzIDnfZdOWvxix7Zyf1crbmSAc5Kd IGnOgW+maRLDr/rhoWdU7MNzHHh5YvBUQnQ/ZBnXyB64yoHvRLg+lg3th5El FY2HwRx44KhLylunfnA8zeOy/zMHlueTEvq6px/s1+U1hkpzYgl/xa8/s/vg QtDyM6XfnHji3142ywe9EHR2H713hhMHPpDlJ1fei9R9l7NDOLiwuaT1oM6F Xhjobyjv2cSFP3DZlsap94IdSp0JNuHCcfzSF/k7esB2xsCyu4ALS+SfzRu7 1w1W9tESd/24sZ95kdaGnA6Yb1tVM/aAGzeWJ01o+nXAcz1P3zPR3HhXb0L1 DtMOqJc92bMnnxv7dOfv1Bxvh8Ms4cROkhuLHtFeCt7bDtvtnmzZq7sKV59h NJa/bIWJs/d2dPGvxi5fvKznbJoh2OT6AcVYHvzCJeaclksVhFXJOb5J58Hv GzfI7/tbCbE6PS+2vufBgW11yYUOlZBzSJd9fQMPfkQhOnzP/YDW7eK1C1y8 uFer2UrQ8DvI0orsylx5sarnA7USgRIoy+N4fOooH7Y/bXrmVFgBsK+LYN6a 48dKgxe4gzUy0c/KwNEAASF8P4FTVeZxCzrhbascXbwG776s6E6/yESOPMOb ayzX4WVTe/mY3FEkmVH2jPOXML4rHnNYXm8KeRdqmQnEiOKtg0c9zgYtoKup jgXKu8Uwj4JuseJBKualqdjKD4jjYwnHfcr92LH2leMRck83YsHL8d20b1x4 /QcJZ+0tm7BO48u6zfWrcZjLvScKPyVxbZota3kbPzYNMtoVVyCFH819EN36 UhDLnQ44keIjjdfwZNWN7V6DW5irkp6e2IzRRS/OlK61uMZ2QGONJB2f4qSr xzoL4z72tJmIzXQszEddTrgujCdSL2WLydDx6lfCtS99hLHY8PBG6V10PPss JTb7vjC2c/03vVuNjpXfvx4uThPGc/7Lmccs6Jh2UMTgb48wlnkpJh78iI4V SryyjY1F8AGdjjrepyv7fzqsamEhgg2GYu8+fkbHmXtdGs5aieBru6QmI+Po +LbAVzkHRxH8+Z1MXWoGHe93y/cMuieCTcsUg0rK6VifjgKBEMHnL00e1K2k 4z+z0z1l5SLYY/X78coaOg6mY52aGhEcZ6j6X2MzHRcqHlXr6hTBgy34YD+D jhXdBt/Pz4jgOQ/a+HkWHefnv3dno4hivg0l6UO/6LhLPBfxcInivdY6omNj dFzwcXRaXFgUa1NX1bhN0nEL2sTcvFEUn0z+ETAzQ8cWgYd75eii2F47VO3m Ah2fMLZg7pUTxf//34nlXfRnVPeI4v8Bi623eg== "]]}, {Hue[0.9060679774997897, 0.6, 0.6], LineBox[CompressedData[" 1:eJwt1H8003scx3EWN4vrx2z72izDR1PbQad1uX50906JU0Z3og5d1eLWkV9X HSn9clOxOkk13bB7U650lJxu6cet9r5RRO0q4ZZuxWpCPwzLcmm3e+7+eJ3H v6+/nh7yDFkyzcLCQvp5/7m9TzpsMhH8XxHqctmG7gliVoRRjs/HLn8kZkXo Hpg5mTFCzIrwluKwzQsdMStCG98uN7xPzIrw6KbVS3aVEbMirLHcWGkRQMyK 0Do5fA7nO0+zQnT+63bqyWIPs7NQ1lC6dlaLu9mZmPt+XuohLR9vjrn5N+u9 8crm0pTz0W74NFh6qcvbG6MOx7p/Os5D77tCR1OkAMNVN6Ii3nCxUpPo7ZU9 A6uatnRuTOBguzZk8Oo5L0zMP8r6s5pCv9AWxbpHBHesnlJr68xGSZ1l1x46 QQsfvnrBHibuKil6XhHqiU/2H99X08HAt7fvNXSkeCBv2vozo6FOaG99cdnW Cnfc8JXQupvngPVc5Y9pB/m4NuBZdUODLV5wzXjU0zMdhTlBpvRKG2SFqHYG yHhY8XdM45b51tj2blbv9RNc7MtjhYS70HAUp/1M7Dh4TTkz7HXcpDp9xmKn a7EUzu5/POqn+qCO3Oo/ueQ0Cxde66ZPxg2pi99lh6pZTMw8c97o5KxV+xpY ErmcgXHfk4qH2+6qxa50pa7VEZvuPVaIY5olc9fKmu5ttccgnz8uLD2mlVy4 GN0u4toiLZv1NIkzJDEtNBRLR6biVLulefJ3HyQTH5erNQVWuPtF54KsU5OS m0XMZ4t8LbGubO/SHcOWcKJ5OHGK64Q642SS48s4a/D83f95gMygTkwpnb4v zwYK4koKtR/fqgu/zQ4Ul9vC06sCrrioR23FVOp2jtsDqmtLLFeguqt1z1C+ gxNk3lhpE21sk8Tmyv1LGxhQ/cT5twc8nSTVdtBTE8+EOp+z+7/eoJfwa+6U fDHAgm1nuQnc6jFJ7pUFMQ5lFLzpsZfOS/0kyaxKrff348CLyMepaYk0sKMF yH1fccHFKr1xZYs1hKUtUwqP8EDxpFoYK6CDy9XpGWFebjA7K/iZIsIODmcV FM/u4oPXK0eyptYBZHujfVT17lBp90t8UJoTCBPyYyu3e8CyepuaiH8Y0Kmj nzwS6wln7zsv9K5hgkb+aj6DT6D8dstur2/Y0GN12qj0JHCLHqUXhbFhtGr9 eY6AwGvpg0RxJBs4g4M8Dx8Cczq7AkPj2ZC0cXjML5hAs+7l+1XZbBjfbTon XU5gdKopoayWDYJfOdzCIgKRi8VzGXwKAsO72+yOEMg6WF/BEVAQ2V++71AJ gZ8eBjp4+FDwg4+74ZiKQG88DPgFU3D9kqCtqoZAzgbpCelyCmR3xHsbmwhU HlhnV1hEQfJ6Q0hEK4GWtoEth0ooyJl2eaRVQ2CImd53TEWBKipoTXsHgSDV pltVNRS87oSQXi2BtnN5OY1NFIzn0EaS+z7/1VvpWjUUfOnaeKZ/gADXvyCm vYOCOavCKb2eQNLNg769WgrCLOmaTQYCChqjvH+AghWnWvKNRgJ1i5R0vZ6C lLADwdsmCDxSuGw2Gikw9wvGNWUvTSYK/gUgBD88 "]]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->{None, None}, AxesOrigin->{0, 0}, Method->{}, PlotRange->{{-10, 10}, {-13.999999591836735`, 5.999999591836735}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{3.6622618750072417`*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{"\:0417\:0430\:0434\:0430\:0447\:0430", " ", "4."}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"A", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"If", "[", RowBox[{ RowBox[{"i", "\[Equal]", "j"}], ",", "0", ",", RowBox[{"If", "[", RowBox[{ RowBox[{"i", "\[Equal]", RowBox[{"j", "-", "1"}]}], ",", RowBox[{"i", "+", "1"}], ",", RowBox[{"If", "[", RowBox[{ RowBox[{"i", "\[Equal]", RowBox[{"j", "+", "1"}]}], ",", "i", ",", "0"}], "]"}]}], "]"}]}], "]"}], ",", RowBox[{"{", RowBox[{"j", ",", "1", ",", "5"}], "}"}]}], "]"}], ",", RowBox[{"{", RowBox[{"i", ",", "1", ",", "5"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"MatrixForm", "[", "A", "]"}]}]}]], "Input", CellChangeTimes->{{3.66226188891407*^9, 3.6622618915235543`*^9}, { 3.662261955979362*^9, 3.662262175207239*^9}}], Cell[BoxData[ TagBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ {"0", "2", "0", "0", "0"}, {"2", "0", "3", "0", "0"}, {"0", "3", "0", "4", "0"}, {"0", "0", "4", "0", "5"}, {"0", "0", "0", "5", "0"} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], Function[BoxForm`e$, MatrixForm[BoxForm`e$]]]], "Output", CellChangeTimes->{{3.662262151518741*^9, 3.6622621760666447`*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Det", "[", "A", "]"}]], "Input", CellChangeTimes->{{3.6622621840669813`*^9, 3.6622621888796835`*^9}}], Cell[BoxData["0"], "Output", CellChangeTimes->{3.662262189801595*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Eigenvalues", "[", "A", "]"}]], "Input", CellChangeTimes->{{3.6622621969581447`*^9, 3.6622622023177423`*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", SqrtBox[ RowBox[{"27", "+", RowBox[{"2", " ", SqrtBox["85"]}]}]]}], ",", SqrtBox[ RowBox[{"27", "+", RowBox[{"2", " ", SqrtBox["85"]}]}]], ",", RowBox[{"-", SqrtBox[ RowBox[{"27", "-", RowBox[{"2", " ", SqrtBox["85"]}]}]]}], ",", SqrtBox[ RowBox[{"27", "-", RowBox[{"2", " ", SqrtBox["85"]}]}]], ",", "0"}], "}"}]], "Output", CellChangeTimes->{3.662262202802126*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"N", "[", RowBox[{"Eigenvalues", "[", "A", "]"}], "]"}]], "Input", CellChangeTimes->{{3.662262204989727*^9, 3.6622622110056047`*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "6.740852239486174`"}], ",", "6.740852239486174`", ",", RowBox[{"-", "2.925903464814625`"}], ",", "2.925903464814625`", ",", "0.`"}], "}"}]], "Output", CellChangeTimes->{3.662262211943132*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Eigenvectors", "[", "A", "]"}]], "Input", CellChangeTimes->{{3.662262214005728*^9, 3.6622622180683985`*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ FractionBox["1", "30"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "41"}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "1"}], "]"}], "2"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "60"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "41"}], " ", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "1"}], "]"}]}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "1"}], "]"}], "3"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "20"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "25"}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "1"}], "]"}], "2"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "5"], " ", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "1"}], "]"}]}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{ FractionBox["1", "30"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "41"}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "4"}], "]"}], "2"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "60"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "41"}], " ", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "4"}], "]"}]}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "4"}], "]"}], "3"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "20"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "25"}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "4"}], "]"}], "2"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "5"], " ", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "4"}], "]"}]}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{ FractionBox["1", "30"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "41"}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "2"}], "]"}], "2"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "60"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "41"}], " ", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "2"}], "]"}]}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "2"}], "]"}], "3"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "20"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "25"}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "2"}], "]"}], "2"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "5"], " ", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "2"}], "]"}]}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{ FractionBox["1", "30"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "41"}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "3"}], "]"}], "2"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "60"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "41"}], " ", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "3"}], "]"}]}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "3"}], "]"}], "3"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "20"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "25"}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "3"}], "]"}], "2"]}], ")"}]}], ",", RowBox[{ FractionBox["1", "5"], " ", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{"389", "-", RowBox[{"54", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "4"]}], "&"}], ",", "3"}], "]"}]}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"15", ",", "0", ",", RowBox[{"-", "10"}], ",", "0", ",", "8"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.662262219224696*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"N", "[", RowBox[{"Eigenvectors", "[", "A", "]"}], "]"}]], "Input", CellChangeTimes->{{3.6622622213341475`*^9, 3.6622622273656607`*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.14796963048619247`", ",", RowBox[{"-", "0.4987207075193955`"}], ",", "1.0219544457292888`", ",", RowBox[{"-", "1.348170447897235`"}], ",", "1.`"}], "}"}], ",", RowBox[{"{", RowBox[{ "0.14796963048619247`", ",", "0.4987207075193955`", ",", "1.0219544457292888`", ",", "1.348170447897235`", ",", "1.`"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1.0813029638195257`"}], ",", "1.5818940441769367`", ",", RowBox[{"-", "0.8219544457292888`"}], ",", RowBox[{"-", "0.585180692962925`"}], ",", "1.`"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1.0813029638195257`"}], ",", RowBox[{"-", "1.5818940441769367`"}], ",", RowBox[{"-", "0.8219544457292888`"}], ",", "0.585180692962925`", ",", "1.`"}], "}"}], ",", RowBox[{"{", RowBox[{"15.`", ",", "0.`", ",", RowBox[{"-", "10.`"}], ",", "0.`", ",", "8.`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.662262228303203*^9}] }, Open ]] }, WindowSize->{1904, 943}, WindowMargins->{{0, Automatic}, {Automatic, 0}}, FrontEndVersion->"9.0 for Microsoft Windows (64-bit) (January 25, 2013)", StyleDefinitions->"Default.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[579, 22, 463, 15, 65, "Input"], Cell[1045, 39, 113, 1, 31, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1195, 45, 975, 30, 92, "Input"], Cell[2173, 77, 328, 11, 46, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[2538, 93, 266, 7, 31, "Input"], Cell[2807, 102, 38912, 649, 375, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[41756, 756, 381, 11, 31, "Input"], Cell[42140, 769, 154093, 2569, 375, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[196270, 3343, 680, 20, 112, "Input"], Cell[196953, 3365, 589, 21, 59, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[197579, 3391, 176, 4, 31, "Input"], Cell[197758, 3397, 591, 21, 59, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[198386, 3423, 143, 3, 31, "Input"], Cell[198532, 3428, 1215, 43, 59, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[199784, 3476, 221, 6, 31, "Input"], Cell[200008, 3484, 1132, 40, 59, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[201177, 3529, 270, 7, 46, "Input"], Cell[201450, 3538, 70, 1, 31, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[201557, 3544, 298, 8, 31, "Input"], Cell[201858, 3554, 89, 2, 31, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[201984, 3561, 491, 15, 52, "Input"], Cell[202478, 3578, 9272, 160, 237, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[211787, 3743, 1159, 32, 72, "Input"], Cell[212949, 3777, 779, 21, 101, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[213765, 3803, 126, 2, 31, "Input"], Cell[213894, 3807, 70, 1, 31, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[214001, 3813, 134, 2, 31, "Input"], Cell[214138, 3817, 519, 21, 45, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[214694, 3843, 160, 3, 31, "Input"], Cell[214857, 3848, 257, 6, 31, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[215151, 3859, 133, 2, 31, "Input"], Cell[215287, 3863, 7843, 254, 154, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[223167, 4122, 163, 3, 31, "Input"], Cell[223333, 4127, 1059, 27, 31, "Output"] }, Open ]] } ] *) (* End of internal cache information *)