(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 11.3' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 330272, 5737] NotebookOptionsPosition[ 325475, 5642] NotebookOutlinePosition[ 327028, 5680] CellTagsIndexPosition[ 326948, 5675] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", "FirstSlide", CellTags-> "SlideShowHeader",ExpressionUUID->"ee19c510-6a76-4c96-a8e1-347777b9a1e0"], Cell["MS-A0201 Diff. int. 2 (TFM)", "Title", CellChangeTimes->{{3.755527483885651*^9, 3.755527502028553*^9}},ExpressionUUID->"e2c5a877-9d38-4418-bfdc-\ 2c97fa1326f3"], Cell["Luento 6: \[CapitalADoubleDot]\[ADoubleDot]riarvojen luokittelu", \ "Subtitle", CellChangeTimes->{ 3.755527445583179*^9, {3.755593132878913*^9, 3.7555931451226892`*^9}, 3.755593355741321*^9, {3.755593672582759*^9, 3.7555936954057093`*^9}},ExpressionUUID->"46955736-d9e2-40e8-9db6-\ afc45aa1c62d"], Cell["Harri Hakula /Kev\[ADoubleDot]t 2023", "Subsubtitle", CellChangeTimes->{{3.755527633806271*^9, 3.7555276424907227`*^9}, { 3.788753208953718*^9, 3.78875320934027*^9}, 3.818996312392119*^9, { 3.852253615812903*^9, 3.852253615875864*^9}, 3.883666313127705*^9},ExpressionUUID->"2cb789bb-93eb-4214-9783-\ e91bc1b4fc93"] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags-> "SlideShowHeader",ExpressionUUID->"79167bd9-bc35-4713-bcb1-20c10ae6e12b"], Cell[CellGroupData[{ Cell["Hessen matriisi", "Section", CellChangeTimes->{{3.7572970141133842`*^9, 3.757297020907411*^9}},ExpressionUUID->"186f9c31-dbb4-40df-bcb3-\ 6247ba8c651f"], Cell[TextData[{ "Tarkastellaan funktiota f(x,y) = (", Cell[BoxData[ FormBox[ RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "-", "y"}], ")"}], "/", "("}], TraditionalForm]],ExpressionUUID->"4f64fbba-e721-417e-bb16-5a01d36c49a0"], Cell[BoxData[ FormBox[ SuperscriptBox["x", "2"], TraditionalForm]],ExpressionUUID-> "70cada7c-f059-4d65-b56a-7a1e6a98634a"], "+", Cell[BoxData[ FormBox[ SuperscriptBox["y", "2"], TraditionalForm]],ExpressionUUID-> "2d9318ed-6121-4cd2-aba8-5653f9421e2d"], "+1), sen \[ADoubleDot]\[ADoubleDot]riarvoja origon l\[ADoubleDot]heisyydess\ \[ADoubleDot] ja luokitellaan ne." }], "Text", CellChangeTimes->{{3.7572984290181713`*^9, 3.7572985167521677`*^9}, 3.85225424676585*^9}, Background->GrayLevel[ 0.85],ExpressionUUID->"e03e1b33-bd73-4343-9ec8-2bb675ea595d"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"f", "[", RowBox[{"x_", ",", "y_"}], "]"}], ":=", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"x", "^", "2"}], "-", "y"}], ")"}], "/", RowBox[{"(", RowBox[{ RowBox[{"x", "^", "2"}], "+", RowBox[{"y", "^", "2"}], "+", "1"}], ")"}]}]}], ";"}], "\n", RowBox[{"GraphicsGrid", "[", RowBox[{ RowBox[{"List", "@", RowBox[{"List", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}]}], "]"}], ",", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}]}], "]"}]}], "\[IndentingNewLine]", "]"}]}], ",", RowBox[{"ImageSize", "\[Rule]", "Full"}]}], "]"}]}], "Input", CellChangeTimes->{ 3.757297822402931*^9},ExpressionUUID->"553cd5f3-9a3c-4a5d-87c0-\ a1821598030e"], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ Graphics3DBox[GraphicsComplex3DBox[CompressedData[" 1:eJyFnHVcVcv39w1s5WIraXeL1wAcFRMbExPFQgQbxS4wMLHFLlDAQAREYCNI IyLShzgcSlARD4qF8PiTWWu+rAuv5/5zXvd95w5rPnv27DVr1qz2S9caL69V o0aNj3Vq1Kj957d92uQn5eXlEvx6e9aeP2tWDlux6dFFT8tfyK3L/6kx9V0W u9+o+R5LWQlyle9zPuxaqGCFNzev6DRBiXzPxOKI+BA5W/63n/fIe25xTqxl m87bK5Drnev7c9gXGeexyK89q/vywOAUVoP/A3xeqbn/xYvJ0J7R9rx/Rvvn 9rCq7VEyaj8fL6Pj5fowqg//d0b1hH8HXQ1iYrsdr5+HOsNvv+9DHy+4m4M6 A991fnqydZts1Bl4bcOozQ6WCtQZeHzYNuOAl3LUGXhKQId2+tfSUWfgc893 TvY7l4o6A7/58fK01BR8Loy2B51p/6Bz1fYoGbUfdKbjBZ2pPqAz1RN0Bv28 zZ3OdHF9h+2Ah8b8HK+/OA91ht80C0e7wqQc1Bn4uik3mjm1z0adgfu/M1oX OUuBOgNvnOjUPNhNjjoDd69/5emEL+moM3C3DtN39GmKz4XR9qAz7R90rtoe JaP2g850vKAz1Qd0pnqCzqCTrGnp45Q2Bagz8EV+jTPb5L3D/x/4+ITbE0LW 5qHO8Os4PkqZ8zgHdQauebBDROfALNQZ+NdfWevHpWaizsgzep2pay5HnYHP 92jWa69XBupM24POtH/QuWp7lIzaDzrT8YLOVB/QmeoJOoMeWy4YbrZQF+8V 8JTve84G/c5HnYFPeMqi80+8w36BW+p+OZMWlIs6w6/p9JaqkdezUWfg99o1 bDrdVIE6A3e/+WRY0yNCZ+C/W9Q/c+2a0Jm2B51p/6Bz1fYoGbUfdKbjBZ2p PqAz1bPyfFZIKb9P2D2wfk/ms0Lq7VcY6jergMxnhbTaOs265tt3ZD4rJJeu tv3mx+aS+ayQzrXeNfH72Gwyn/+0/1F49scSOp8V0rZ6n6aaPkgj81kh1Ymt 89P7lIzMZ9G+8nwW/Veez9QeJaP2V57PYryV57PQp/J8FnpW1jlWMknwnlFQ SteNWGnMYFc3vfv5ROdYqW7ZSJ/ERLpuxErRHx4M/L/vbGWdYyVvp4Od2M9M onOsdP6oR99tb2VE51hpV2FaRvagOKJzrNSwdNHQ5LwYorNoX1ln0X9lnak9 Skbtr6yzGG9lnYU+lXUWeoLOMI58V9W9Fy/mo87AS/5RmdVDLr6DwF0Pb7Eq tRHfQeDpOZvne+mI9xa4hp5ujLqGDHUGruzi5PZt72u0D/hcd/s7msZPUGf6 D+hM24POtH/QuWp7lMjBftCZjhd0pvqAzlRPMp9ZaP/hpc/M8uh8ZkWnbhhl aeXQ+cysO87v61SaSecz049qZfzUREbnMyv659XP4luv6XxmY7d56yx6cIXO Z3a4Rq2jwZtCUHfgfD5LZD5jezKfsX8yn4k9OJ/RfjKfcbxkPqM+ZD6jnmR9 Zp2ybRNqXcym6zPTKX9m/iIwk67PbKZ6k51LPsqIzgrmZjS577jUN3R9ZkOK 2x/9NtaDrs+sqdOjogMlgVJlnRXMotb+iWGjEojOCsbXZ6KzaE/WZ+yfrM/E Hlyf0X6yPuN4yfqM+pD1GfUk/gb7tcEu4OThTOpvMC8L1SZue1Opv8GY91Hp kloc6gx80sSRJUNzA6m/wQre7b+03uwefueADzVKfn/PBucn8tpNT1uuniFD nYFzfwN1pu2Jv4H9E3+D2IP+BtpP/A0cL/E3UB/ib6CexH9m5eNLPHuWp1L/ mR3petOjZUE89Z9Z7f5hJ36si6D+M+t53Di1Sycn6j8z7Q8ZZWZ9XkiV57OS rWrqvntq0lsyn5Xs+ObAXqHrU8l8VjLuP5P5LNoT/xn7J/4zsQf9Z7Sf+M84 XuI/oz7Ef0Y9yX6Qja2ZesZ7cSLdD7IPnSa2KOoeQ/eDrKvz48O5if6oM/B+ QcEnTJIuox8MPErFedMwu1DUGfuRL93QQBmHOgPP27PSy9FRzGfgfD+IOtP2 oDPtn+wHiT24H0T7yX4Qx0v2g6gP2Q+iniS+wYZ6PZw73FLEC4DvXVdiohYR QuMbrNbyKVv3fXVBnYH3kJnfbPHhCeoM/OYXRe+VcRGoM/BNT9q2fBArdAZ+ pdu8yBW/k1Fn7KcivoE60/agM+2fxDeIPRjfQPtJfAPHS+IbqA+Jb6CeJF7H LqZqh4esj6LxOrZb7aH1izH+NF7Hxjktv+LsvwV1Bl732gazlj19UWfgvdSZ Q7FBFOoM3F+rdYK1htAZuMnYByrtuiehzsB5vA51pu1BZ9o/idcRezBeh/aT eB2Ol8TrUB8Sr0M9X3bb3UXm+VuC3/J25XNddos4HvB/zV1Dy/rkQntWTXtG 21fYmSvBb2PnlR2Tl2Uhrxi3TPrdaXJ2J1/Yr8mwvXuPoh5SiRw5/D7e/XqB tjPE5QKxvc2InNjp3unIob3W7aRLE9ISWbu/dn5CbthzyLYRn7KRw/9n8iDw rqytAu0EvueOh+XeKTK0B/j67BO9tOe/wb8Lvyffe2Y2b/ESOKOc98P+P/0w 607X87S0/SXSD3LSD9NfFHxIa/4NqhtT/eo3LedDiET0YWl1jiXmPI7H/qvh oDMLqPvJ17x2Gv7/tH/yHFmNe9uWzW5Mvwu57Osdl8/n1iZje/4c2ML9a/uk fkhEe+jfBXugvXXLcOWLehnYnnLof9Kc0cXjHb6wwKe/lTXTkrAf4K9XvTow yigd+6GcvC/scbs3ySuiwun7wjbtrHFugV4MfV+wPfw7vDcLO69wu1EcjO8P 9Fc0orwNu5VN2yOvPD8VUtEOO/PeSQoyPxXSs0lb48rLM8i8UkhD3ny6Wk8n lcz/P/tXFno9KCiL9B8rhV3t+fz/+qncf6yUZXxy9Ce/RNJ/rGTQcMgkzdA3 JM4QKGnX2vn1wPsXuP8B7nO0jV5JswjanvH2xB8LZH4jIlnoelfiP8tYbCBr aHb0DfGfZSxrQefuHXvhvML1+HpxtJ19nxTiV4t+Kr9H79mAoJk2cVsSiD/z Zz6P7jWn3xj0Z3B+zjuaN1pfX/iZwG+X/98/6GfiPDymoZeZ3Fu0B76ATZte VDtDIvME5w9Zh3EeKvflrrGUlUnw2zBP7hG5Ogc4o5ysA7h+VnB3bmc2y75R ozgvJFUi/bMm+6VX4d0jaf/IK/f/nnVz2FH75750nPfQX7fe33RKXwg74b93 9rbQ2vQ7G+2p0DODTQjcvW6+Pnx/3Vn9gMzGDp3yWeqwyzrpEenYL+jkfVpm e9IA31/8O3eLp409viqakfb4d0l7tJPMN4nPN/peMJM7d3eej4km6znl7vz9 S2BFxW2zjLNh/+IuUV55HiawhRfcrPaMiSP903nuzuhzrDzfstmFuZcM7mqm 0edC9WFUT3h/qln/WdXrfyQ+r3v3G15fsCUV7aTPt/J7lMEe/Ru+SfhdIq4A 8wp0o/MB+gHuF20/26J1BraHcXiPbdllQVQC2gn6PD+y7eT/6ck5Ppd2xYlj jX/EoD3AI4Z7NPkRHEu+1wq2slC34IlVDLaD/u+cGB61emU82hP4973+yMx3 Lpqw9S618z3zMfYoiJ+TIe1sn+1bXi7OWwc07y2/GZvDkpdvCykv/4bPU/5j zOcBAQrkuF98OHFq0fZsNui+Wkx5eTG2H9DYZvCsxZnIof3jUdoazk2yWAf+ HYH29kFmji4qcuTQ/oNtx2XdL2aylL9/Nw/bv+ngmO11PA05tH8w8rTN2yFy 1qnieWP7FovvrGliK0MO7bdZmx3X1EpnXf/y19i+pP0Ms9COcM7u7EvP2aE9 7jP2tXAeuTsV29PzYo2K9oz2D5z2o83nK7UfOLS34fYnVujAqD7AqT46/LsC 7Y9w/YFT/XUrniO278+fL3D6fJMq5gmj8wc4nT87KuYhto97PbFuo9aCQ/v+ fH7CvIX9XI7ZOofkQ3k4P4G3GTPw295huTgPgdu01UlfEpKN8w34eQ3rkc/0 snBeAdcMPNYk3DMT5w/wxfvW10kzleN8AK603zglNzEd5wM914bnDvwzbw/P l/YPzxG4BrcHnhe1H54LHS/oD7w11wd0pnqCzhhXc+qhMb1JPuoMXDVm16dL r/JQZ+C+Oxc2VzfJRZ2Bp67ckl7HJxt1xv6bNTJXNspCnYF/1bUetmV3JuoM XH/tqriFc+SoM3A41wadaXvQmfYPOgP/yO0BnYHLuP2gMx0v6Ay8CdcHdMb+ uZ6gM8QboifZnJrbvgB1Bt67rtoI0/fvUGfgAQfW9Vi6Lg91Bp4XeGD6TPcc 1Bm4pk7/qVfChM7Ae+3dpPGiQOgM3PXhlcbhG4TO9FwbdAbuwtuDzsB78v5B Z+Aa3B7QGXgutx90Bi7x8YLOVB/QGfgrrmfl+ayQDHMCM2Q2BWQ+KySNsPb2 jwbmk/mskAaOyT1y0SGPzGeFdONaTf97R3PIPBTn0ZXnoUKKlPdfHrk6jcxD hdRXc/2wcZKczEOFtHDNqtA2/ek8VEjX+d+tPA8V0gBuZ+V5qJDU+bgqz0OF NIrrUFmfWKlrpOW+U3H0fY+VZh/V9Fo36R3RJ1YybN6ly9ixuUQHcV5cWYdY qa+aqkXHqLdEh1hJLcdf1uJDMtHhT/tbIYtVN8mJDrHSKCONXhFOWUQHYU9l HWKlWdz+yjqI8YIO4PedMbMdNrf1O9QB+HAX9XcHm4vvC/rF+8+NOrVE+DnA LWufDBrtloHvI/ARpQ8HTE1OwPcRuO3bwtl+jSLwfQSupp+ilpz3CHWuUemf Q/qgM5CGvD3oDHwX7x90Bq7P7QGdga/m9oPOwCfy8YLOVB/QmepJ5ht73zm+ 3dUVOXS+sRZSr39LXirofGPsUqzn8bPp5H2MZZr3/Z0Sz8aT70ss83ytn3u7 RzD5vsSyf+8M3fPy7jmJzFs8FybzlgV0t6jvYx8mkXnLtvJ+yLxlbvzvknnL 2nA7ybxlBnxcZN6iDmTesgKuG1nfmLR9xvnDWgq6vrEpb+/Gmr9No+sbOzZk c+PHN+Pp+sb2hM5qVqcwhOipYDVmfok+EbZVqqyngu0sG5Mybl440VPBVPj5 L1kPmU/ZLPVnBolETwX7MvLY0pL8cKKngrWbVfF3yXrIrLmdZD1kR/i4yHrI JnMdyHqIupHvMisbdtxRNiONfpeZVuePxhm9Euh3mY0ycZgwNzWCfpfZvzdH 6DxXv0e/y6zRmXr9w40DUDd6nku+s2zy+iYzpuikSuQ7yz4+H9dYvd9biXxn WXPeP/nOMjVuD/nOMn1uP/nOMg0+XvKdZb+5PsRvZN4uHzZ5RyVQv5EdHNK1 bkh4NPUb2aDPD6fVU3tO/UbW+tS5Ex4RdyXiN7Ire5rqDLsWTuahkq3rUbLa rSxeIn4jW7nTdc2ulFQyP5VsHj/PJX4jW8XbE7+RbeD9E7+R3eb2EL+R/cvt J34j68nHS/xGdoDrQ/xG5sn1JPsgZj1iYad7am/oPojZ9g/bWXgniO6D2CTF g7gb+pfpPoj19Lt+d0z75xLZBzH1nk+uWphHS2QfxGbXv13b6nKCRPZBTOep itqUAhnqTM9zyT6ItePtyT6IzeX9k30Qa8ftIfsgNpTbT/ZBrA8fL9kHsb1c H7IPYpu5niROwoafzMrWOhpG4yGs/dU26m0zn9K4B2uT9Op504TLEolvsDaf 7aUhywMlEsdgfidG2C3pHyOReAXzi7k3aoGW0Bm4wd5aO1oOTUGd6XkuiTOw 4bw9iScwifdP4gZM4vaQ+ADT5vaTOADT5eMl+32mzvUh+3qmx/UEnSFOaNdX 9k0tMYDGo1jhP22PBCy4QeNObPPILav/rPQSiS+xeN3S9lL3YInEkdhMs1I3 54VCZ+DZeb7tM7XFugG8rV+OXt85SagzPc8lcR5sT+I5LIf3T+I2bDa3h8Rn WAq3n8Rh2A4+XhJvYQquD+gJv8tG9Zz/6LLwr85Gt5aPdyiVdvSvmbWmsYjj uW2fWNuh028p6+6IDvYrFbg+wHlCz4ZeqpHBcvx+pca7T+g0oUx6ZZxgnHQ8 Hf2rYh733tfq42OZZir6sQ37qZ/0tCyXdPZcfPrJQsTZVlYTN9vF7f/eMXpW 28EiPgb2N5I0JkyxFfEusN90xvsDdusz0O8C+yexmKIGSXL83sm4/eVOs/tt qCPiVGC/6taTCz37ZqGeL7zH3vK0/CZ5xnw9sGKmiDvBr1LVsKlRVA7q+bnZ g/zxDt+lePOOv3W1Rdypwd948g8p82yj4gdLFKhnO8uW/WSeP6QeD96rd/AV 8cwh6hNmdJrwU4ox3mu720PELaeG7rC2lP2UAuvbf2wUIuKQLtXEnQK5/dPq /K6veUrEnVK4/bpnFId7thT7ULD/2qxBa7YNFHEnsP9mo+PuAzcqUE+wf6ay bWncU7EvQPtz9AZ1KxDxvWncftO7Th9b1stFnetMu3fYUqaU8pvtOe+TIfZf Wr9TXT0ti6V3M7eF37IQcSf4jfs6tMfhgBzUeXLFuZgUUrDEKveziO8tU9na yqHTV6l4anbR0G4K1HnHY5ehMs+v0ti24RvPXhbxvdOLMhZ0mlAidfW3uP2o cQbq/KmauFNdbn/72WvufdcX8RBtbr/qVe0of0MRDwH7W9l62O69pECdwX7X C/aPk2qLuBPYv+TGqFDlohzUGew3CBisZXNZ7L/OcPvzv6u3Wucp4nun/75H H6Sf89VsutQU8ZCginMEaco3pcPTO2K/X/FeFEo66z2TZqqIeAj8lkWt2zO3 u4g7OTumlI53KJIemz5TsTYQcaeA8artHDp9lu7ktM5+dlDEnRK/jjSUeX6W xgbn+WTMkpO4+n/jTme5/TdMtLuM2yR0fsnt3xETu36XQugM9s95s+9J2/Mi roLr3EL7hzUNRVwF7F9wqvXyrsEingD2f0h3vDymuYgnJHH7Ay6cHri/t4gn aP597lnSubkXd86wEjrzcxyp7hy7ssdaIu5U8RxzpBBNF5d1NkJnF37eXqvL 0KLVtiLuVMTjOXVJ3Emb/92e3TcMOfRBxJ0m87/7sWO73eU9hT7wd39fcjhr c1LoA3/XVn+yzulnQp9k/px7ubk0sD8s4k4V60O+NGqLS9SimiLuNPTvOlAg bUu+WSzvJeJORn/tiZNaPwqrH5GVT/zYBCmmt5vB9C1iHjb823+yZG4qj9p8 W8SdPvN4TmMSd5rC+89zvKzqrxOPOrjy/qf1DPIaaJSKOkD/G1eo/tP5hVj3 VvFz2wH7zkldosX7GPx3vqVJTb73zDbXFTrAfL/R5ZRKTH2hQ+Df+ZMpGddY ZXJrtdBB/tf+m1Kgc8rMQMN3ZN/kLjV7Onp4YzsRd7L6a89zqdCq1u6g0dkk LgS/rhgXUrlV0f9JPRXLawe9UYfvvP+vzx/XbHI8BnVYx/u/b6JyZripDHX4 ws8tI0PK2K/GYv1/8FfPEOlGV5/85mZiXbLk55/79ilNPySLeHgv/t7/tG2z qquzeF86cXunDlrbdJ5bDtl3R7Jzi4K/H9ychTrcqfi7bFNx8xmhF8V54jt+ vp3evfs8j/opuC7NrRgXi/2WXlL31ht8TnJ+nqydpr94vEog6vmex1vqkbgQ /BYf+Jozx/El+num3M5Hr6ZN6tL2Oup5m9t5Kil94aDzr1FPsNNlf+emq4bJ UM+F3M5vqe+NTjUT/kk6t9Ov0b7OJUtzxLyqmD+s38z3Ey7HiHW+Yr3KZJts G+6QW4u4EJyPe11WD/q5JwP1DKiYz2zcvRaZ3Z2SUM+l/Fz68O0Tl54NikE9 VSreF+ae8Gt0k5nPULcP1cR//Lk94/bbPjihnYC6wW/TKV7tnn5+iX4y2POp rlbLlfkPUDewxzjf5Fy7xBjUrQ63x7b7QEXLP+sh6HaXn5+bpij9ehdmom5j K9YHNlhTW39cExFPG1yxXrHxrVXbe7dOR93q8XwA6bDdy7iPiagb2Lt6erJL iWkM6ubM8xn6OP749nixH+pmU7HeskNWS2aOb+GM+4tlPK5SSuI/g7g9iWnR dmY5Yr9cl9tz9Uf3bjUMY9EO+FX3fKX7rasn7i/AnpzRxr5PG/ihbtu4PS+b L7fNfRiLuhnxfAM3qyZLNjVLRd3UK74vzPHY6ZmOzzNRN/4dZ7N39+0z+EQi 6iZVfDfZVLc+yWEN36BuThXfWbZ6XasO6vcDUTew93pxS+vFO7ejbkUV33Fm 2b1gcXByIOr2kcdJ5pN4TgK357DW6PQxrdNQN39uz7TpPfRaeYl9Gdgz4n2f IoM2oWgH/O5JOPJ51s8luC/7zO1Zl/n29UifYNTtBc/HaNoidscPuzjU7VSF 38JMV05ULDiVKvyxCj+NWR6+fuj8SxHP2V7h17E49+LJNe1CUDezCj+Qndnh Py/lzgPUbSLPBxuy5LRfP7/HuP8Fe101Wp213RCBut2rJj7jwO1R/AxYPWac iINt4/bsC/4p//5GxA3AHrWTD7q1O/cKdQN7Dt1O6rc23APtwHlnsePCqCh3 1K3CXypmg71+DXqSH4m6qVT41ezF0ntqEW1EHIzvg1jAzcKNvmHhqFvF+/uT RR1ZVbPmXR/UTadin8Ku63/WizZeg/5rxXv9g9Vwky3esNYfdSuq2AexMxN8 2+RNF3EwsHe0+/Uwua6Iz/B9ItvV53jE/lsyEtf9b3xmCrdfXs/mRcZuEZ/5 l9sf28VtZ/4BoTPYv6+GfnhHAxE3APsH2hQu7eAfgDqD/THHftSaenAl6gy/ vfXaHdlm+AJ1DuD2D/JKTDXZEIM68/07m1f4ddSoVy9QZ8jz6vfdq1tR7Xuo c0rF/pqly/u/Dn/mjDoH8fzD9No+n8vaBqHOLhX7dzagL7tikvwadT5Tsd9n vZPKTho5i/gMt4u17Ojb/WNRMurcrpr4TANuv6FGr+Nzron4DNhvLV/5Vnla rANg/7b5V5YvvCl0Bvtbdoj+9H3TS/Fecfs7HL+V1T3CCecH2P+7e7jR3ibu VE8pKXRiqy5TxL64EeeJhO8g8RzQDX6XNGt+Nf6J2Ofy9Vz6ZGj50fSK4OCv 3l7S1j95kYg/8O+m5Bo8f5NLpMh7AX/+QeffWodcBOffBamvw1rTBb0Eh1+7 Z7Nf1vfMQM6/v1KnuqPGRhmIuNAQvi9oudSsy/nhYt+3jOz7oL0G39c8O+v6 KLUoDfkL7lffsbp3U31YKvVDJO6HYPvxfF+QzfcFMD/NuZ8/muf/A19C7gUA L+H+8Dx+LwB4LudwXwB0Bj+5bKr97RpbRT7bfO5v5x2ZGeI0UuStreH+86Eh HfpMOp9A/VXpC/fbYVzwO3OaVqfC+2+oHyvV5/sjaBfH9x37+L6A+LfSZN4P 8W+lvdwe0g9LUdZqMCTJke5H9Ct+b/sSO9l37j+TfQqby/sh+xQ2lH04uPjD Czqv2KOckKNtBz+RyDxkqtyfJPOEjef+J9knsgW1w1ocfBQpkfnGdtVOdypS Jkpk3rINqqtHrpaEP8b3lSyO2AN+1J7S2NQLB19J5P1ijtx/q3yeksu67Npx 235mCrYHvyJsRacmhgPjJBJXYUsi1BLPKsQ66cD9DW0H+ZQ9I1IlEm9hB7lf ROIqrD1vD/3Dd/l01pxnzvMSJBI3Y8VGj9xt88R3kMfx2KIBwbVy88S52ydy 7kbibEzO/Q0ST2OLeT8kvs2Oan78cedIKF0nmT3hfF1ls/j3i+Qfsn383IGc R2BeIjkHly6ZqXSQD6R5a3/WmZMtA0ofyUnemkIqGPqw4xGjNJq3INXk9ylI 3oK0bYzxwxO75DRvQZLWdvDxCEsm/cdKazd/8Rlw6S3JwwmUdPh9isrnm4GS VaeA2wanw2h7psXvU5D2bPXIuP4DBrhLlfPEZOx089N+QWdjiZ8j7lMQHZgX P/evfK4tY+d4PyQ/jT2pe36AtPUtOU8U9ymgf7g3cb1w8SOtT6nEHxD3KaA9 3JtIe6DT8IuHaE/vU5B9q3SDfF94/I3x+Bv2A/usL9xO4DyOxLK5PkQ3vBdA ni/z4fknJN7FeLwLOeyLM0n/NP+/8nhFPj+JE7LjfL2qfG6by7rzdQk4n79s ejdZmE1xCtFf5OGTPEM2keczQHtX8nyB0zx8EudkZ0PKPt4bkoQc9rNz2zQf 2fS1+LsTYJ0vTmr8dGAU8kY8bvAjxd45ZdQb/LsrSD4GcG0yryBfGdaPts9a /LpkJe5LAt/+7+FpPUQ9GeQnzNxlrTOxnhLy5p3Wy32GiHojwHt/u7N56xlR 3wy43fxlv2QTRH0z4Dee7/VMMBL1zYDbnJhd9sRB1M+h7TG/h/QPz69qe5SM 2g/n63S8cB5MdQM9YZ9x41JDM5XPuagncBNDd5sRhqK+FvDgkvGOMatE/RY8 /2y05v0NjyzUE/hLeYLzoc+iTg7wZUMDjfVmizpmwBf02u2fu0DUMQO+uuWy zxf3p6GetD3oSfsHPau2R8mo/aAnHS/oWY1ujOoGOmM8VaVuty4zRX0z4NHG pV1anxT1iICbTtlrOigxF3UGHtnDd1G0hqhHBPyZy/p3+4eKOmbAtayOHU9Y Leo+Ab+0817h+n9EfS3gPlo9enRoK/LwaHvQmfYPOldtj5JR+0FnOl7QuRrd GNUNdIbvv6ZsrJ7VBlE/B3j3+GvNb10U9bWAh41RNkr6nzx14AeGy4Myh4n6 WsCHf9BYs7W/qK8FfKrqlpGTtEWdJuAzRq7Ls7cROgN3XdbE9KSL0Jm2B51p /6Bz1fYoGbUfdKbjBZ2r0Y1R3bAOI8RZO6xe9UJb1IMCvmN4gKOKgagbCPxp 2ja3ZvdEHTPgt08YPZwULnQG7uGoWUdzt9AZeENlxqiiGkJn4L37zHP68Urk 4wLP1Bunbq4u6h/S9qAz7R90rtoeJaP2g850vKBzNboxqhvoDP7aE41FI9N6 CJ2B/xyYYmMwV+gMfPoFz3qDzwidgX+5MPVx241CZ+DXtgfUjHgi1g3gcVHm 1gX7xfoM3OBFwcaR02SoM3Dr82ebFi4SdVNpe9CZ9g86V22PklH7QWc6XtC5 Gt0Y1Q10Bj9l/oDz+36so3XMnH1JnS5s3/OU2dA9MbQemrMv1O+C5wLttz8M m6Z5lNZD++OXkXpo0P5zpNPWG4WiLiu0p3XSoP3Gkh8fnNfgOoztNUn9NGi/ 2fLCsh7TsZ6tGC+pqwbtRx9X7f7sf+rToV9M6q1B+8s+ls2dEl7hfAC+9cCE tRGrRb2qauxh1B6YJ9WMl1U9XiWrRk9G9cQ6NVU/L2xP67lVM3+E/aTOWzXz B9vTenrgdz/O/Nizl7Xwe4H3Gpn0YfP9/7nPxrnBo+GJ09eIeqPA+6x5vGuN daq4L8T5ouEBrbX13uB8AF5/gofKGD9XfO7AJ9XprtZovbjPT9tjfnOV/SsZ tQd0pvaDntXowKgOoBvst+KyijMPXxT1moEf+1Z87dFEUTcP+PblW54uKEpD 3YA3cyn3uqkXh7oBX1W2++7AehLqBrxoQ5ODmed8UB/KQZ+q+1Ey+ndBH2on 5o9WPV5Gxwv6QDzeZd+mwVodxf1Y4BYGIYfmPxR1gYHXT7s8dnntRNQHeIvQ pVfaDgpHfYDvMdP5dF9rFsZrgK+RNR1p5xGJ+lAO+lTdj5LRvwv6UDtBn2rG y+h4QR84l7g5Ick0c1Ay6gPcP7LGlNMqWMcb+ZJV3kH2t2NQH+CphbPcDB96 oz7AZ+XuWT7ioBfqAzzGLfhpaTdRPxQ4rWsBnNS1wHPV8UE9Xl1QiLpetH/Q uWp7lIzaj/noZLygczW6Maob6AznPCfs9l6oF/gWdQaubtXriGlWCuoMvIfV g4Gtp4agzsDt6+/8rarpgDoDX/S1ocXME0GoM57jLfIY9nWkqJMDvIlSUzd+ uNAZ+OXUGofi+gmdgb82CZBbtxd16mj/oHPV9igZtR90puPFvPCqdWNUN9AZ zs0OzCjUXfP5FeoM/GVhTB31jgmoM563N5z675XrPqgz8MBWOnk9Q2/jvVZs H1ByM9gkDHUG/vOMmuOAAqEz8Pgey3ao6oo6dcAtKvb7qDNtDzrT/kHnqu1R Mmo/6EzHCzpXoxujuoHOEP/efrrDih7xwagn8Lp9fSKj4p1RT+C3io/4fCn2 QD2Bz7Cx8rlQE9dJ5H6mQ3uHPhd6Ap/lekCZFijqdQDfVhGPQj1pe9CT9g96 Vm2PklH7QU86XtCT6oP595yHv6v9Llj+hkFeOJ5LLOuevr5ZNoM8ZuC3nl1R OWmhYJB3C7xH8uGatYPlDPJEgd/e0vzbF8d0BvmRwHUTx+603JfKOnJ/AvgP nicP+V7Ai9k13THN0hnkMwHXNo/+ZmEhZ3AOBLzVqGMz+9X/Yyc/jwFe9srW a9SDLAb5FsB7el/5PsIgh0F+AHCr7LRNs+7mMsjbhrjTE9PJKvN1shmvV4J8 KnPp7zdfAfVNkO86vSBr/xP4fiUg97UePq1uBtwDzcC41iCexw55WphPaqff ZsSZTAZ5SMAbuJ1fammUxSDPBvjdGyv3tS7LZpBHAnzzPrWPR47lYt4A8NlN ojQ8CvI4L8T4layp8ZiSnCzMrwX+4ozR56QGCp4vm4z8aunP2tH75JiHBNz5 pazmgrXZmGcDfM7+2me3DcjFvBCMOw3vUB72QuQxAN940dGINc/n55S5GP/J mnHOUq9pFua5Ap/5euLsXgMzMY8H+OcyW3leuzzMOwF+Ks/h00vPd5gnAbyg R7eegTUKMB8F4gnD52ZObDssn0H+B3CfS7kPNewLMH8C9sVbDTMLDu0uYHBv BPYj3/j+xYXsW934Pgjy9YFn8P0U5JcD1+b7MsirBv6T7+8gzxj4ar6vhDxR 4Is5hzxI4MW8H8jzAw71uiGPje777lWzv4O8IrqPg/NR2MdBni3kx9B9HNwP gX1KvZFqZ1o/U+B9BuAd4tcH/Z6Uhvn3wDf1O3/GeXEs5p0DX7C1YfnjRh6Y hw28k9fFcJmFJEE+KPC4hr0XzCq6ivmOwGOMu633uCby+YC32ZZSUzFdhvlq wIO2p+s2qKnA/Crg76Zprl3RPQfzgYAf+zi73viNeXhPA/Yj0uGuvw6ZJeC9 AuDz2l/YuWVcMObTA++WMzrxErsnQX45cOuyIpsrqTES5GsCb1zWwl5H7THm IwIvv/hW8cTkDebbAY+2m7rBOkyG+WHAB43vIBv2JhPXJeDnXx8tHuaTjfcf YB8x3uv+2Dkyd1yXgHdhh0uDIwLgPAx5WWDACo30eMzXBD7dZNH45cMkXJeA d/u0yfyX/ltcl4AP+NjES80oFdcl4IdDf5TXupaJ9w0w3/J4rSd+KqGY1wi8 i79K0EWXEFx/gGevbT1s7u84XH+Az59Xa+magFRcf8D/NN7WsoHa3SjM3wLe L9krbIB1Aq4/4EftnrDsTpBPDHzvJPq9g/eO3r8D/4GeA0KeFqx7A8fGaHt1 zIK8W4xnzvxH2+CfE5kshOdvQft+zta3O07PhLxn5O71Mx+clskZ5l3xfs4Z Lp7NeqZhvj7GjV/Y/hozNYNBHhLwS197G3ZWpjMLnvcD/UTHm32NC06BfHTk zfXWGu31Sob8V+Rr2suWajpmM56PgvE6U/NWY7rUUjDI6wL+xkG3XM9dxiBP C3ipRcOBA3e/ZZC3BPy77o7oCNNo4Ixyvt7pw7pX8euqz/tntP/PZD2HdR7y omj+P+QtAb+wq9bpwzqvJMgrAl4ys+D6y/0SrAu4PkDeO+RXAe+kcqjpnJ/x PM/MHd/r8bze3U3+HOE9Mm7QJt/8fCqsP4yuPzyfHttPnW481qWrqH8O3HvP nRj7d8nSSu4P4HvE66+aEb6I88383gL0E3V9TGHHvDRJCfkovP1mXn+1gHDr ypxRriQc+nnJx4X3v6N6zI53TMS8RuCeOVYjB/7ZR8D8B17mEvGgY1wa5uEB d39+tY/DnXQJ7mNQ7sbvddB+II8T9gsHPvpd2d7oDe5n6T4C8pNoe6izCu/R t5j8Lt2NRB1X4P/m3mrzz0xR3xi467Dsy93KkrGOK+Z/qY+9OcFE1HHFuLf8 Vdfrb9Oxf8ybGHyybFjnBOwf+JiIF6sfPhR1Zyq/X876heQ9Wkbi8JhvXhGH x30fcCvdssuProq6sTCfryzNvH82T9S3BP6Q1HsE7lfa++GQokTsn/YD44V5 e7Tv4/xBTnHIYb5B/WH4u9A+qUFqwuQH6XiPCPRvxtdDvn4yun5CfhX0c9Hc IXqyGdYx/s/85+uARNeB3Gp4NF8Pof93bJlevUNYxxjXsaM1+s8fJI/Av1sd p3pC3gz1E0Bnup7w9Qr506Qdfcz8UsH+/6xvYGc1+vxn3eDrj0TXnwj+vaha h//qBnlpwN+/O+3QJSdSSuX9wHe8Q9eGi9ffleG9dNgP3okpCjg5IY/7/+7I k5jdDAf3NO7/R4p7fjUXLijsnY732LG+lP8KlbKYd3gfG/iQFssPO5jnsTV8 vMBLT99dPMkqg8G9OLy/eyDB6Vl4Bt93izpAGp/0bLZ9k+M9edivzbP17zi1 UQHe98Zz/6F35+x9/g7vJ4v2kz69aZvHIB8a+LDNbfpaaMrxnhvwtbsWvXs3 QI73uDB/YI9jrMuyTLynhHVK7payw8OzGNQdAP9EL8Rw5v2YArx/jvc2nGpH +BzLx/vSwPsEtJ0R9y6P3eP3e4FfyV95sV58DpvD13ngHx7uSumak87gnhvw qVn5C+r/8a/gHhfwUVe+hrxulcXgnhJw35Hl6ks2ivuzwOH+LNQdgPVhUOM5 Madqv8f788CXHds/erRnPt73Bq4S13TFueI8vOcGPHCVPPTu4DS8xwW8T+ez PxoeysR7SsCzJx2xPXEkG+/hAB+18IuxT/M89Hth/T9moJhhfLEA4kIin/dG cPDAP/scvD/Pea3tqx68bZcH/h76Xav2vTS08pWBf4h859rlPQvLMiGehnx1 jfoaBSY5EH9DPnrEpSaKpDysHwHr2DR+nxTuwVI/7Rx/f+F9j2g0/3h5D8jL /Ybcm9+XhHue1E+D9xfWmSFedp3ybsjx/QW+d0Pt0PWpyXi/Efg07o/B+wjr W6Bd4iXHXan4PgLXHmVT0CItDt9HrNPQsLWjztcQxv00/I78e+pmSerZRLyX iPe0Rkx4L1MLl6AuBsxTG40Sk0F9k/D9Ar6jRnRv+3Mx+H6h/+POjn+a64/3 54FPtxq/XIq9zfe/yfgeHLqSXld+IxnvQwIPi3xwZ0FMjAT364BvWt9s2Zg+ 3lhnBPZl9V5nbWu8JA7fF+DeV76OGVEWju8L8EWh9/3zurjjfX7gmcdzl7yM def3zPORT01rqKilGiWt5f458JapHmkWLjIJ7uUC77Gs+Un9xml4PwH40SZx U0zzk/E+APAndna/mqu9xfx+4DVZpEWfDi8x/x7vb+328K93dZcEdTTAb9Su P+vb0fovse4DcO+ilTGN19zAOgXAR69wVaru8pbgfj7G4Re6/vbaEyXBfXXg MWMaz9hhEC/15e8bcLiHBfeQgfu00Qm9vUwmwT1b4Iahj6O6jUyW4B4p1mGy umQ/uPStBPckgdcKWHjVXj9cgnuAwHfGZfq2YI8luLcGXK/PVsP2Ko+wHgGs YxOv5pw/XjMLnzvGFe8tin8lz4F4OK5XA9I2xljbZUNc7j/5LXB/CdrvMNY8 vDtHDvE9bA/xPbinBO1PLX3fx2xQMsQJsT3ECeHeDo0rwv0Zet8H7rfQ/uH+ GL0fAf3A+jO5Uv72BV96bgv+Ct5bXdflYp/Roo4Q8EDV3VoTEkReIPDSFWHR 05eJ+t7A667zv2xfX9x3AN6l6R1z31Bxzwv46rvrbOcNTEU/FTitF4T2XJIs Br0R6yxwlX90V3ZUFfVFgY/2mHIwc5Wod411gDoG2cYkifM84M+3u04/9T86 gE5LbkcpDWeL+2J4fpE0Qt0jWuTzAe/g03asnbG4TwfcK9t+9IwG4l4JcMeH s+bsHyHq+QCn9XyAb+zkPIktFnUtgF9pXmubdaI4D0aekO+5wESsU8DLX8sb LYsQ9QfwnnfvPa431EXdEtCjsdFKo8KO4h4NcPvB8w5O2y/y7YBrO+nMqasq 5jHwoLYRCx1+ifpOwLceDSk16y/qcgD/sHjy7lpBoh4F8M7j59dtOEjUowCu +6nj0kXb3qGdMI6fzwa7GZmI+z7AY60yJ/o6Czux/tCUec8Ml4p6U8ATji8w WZEn6slgnu25wJ1T5ot6MsD/6csG1z6Xj+2xblxf6cWLBqKuCPATRsP3ZIwq QA72nn2o02rgLHH+B+tJ1XVunX2rrnPr7Ft1nVtnX6sq69w6+46qss6ts++R KuvcOvuq87q1levZOvu2qLKerbPv/irr2f6xv8p6ts6+a6qsZyvGVbmerdAB 9KTnKZXr3P5XTxhHvKpNa6Yl6pYAf/XkYt3sTRmoJ3BVI5O44+4JqCfwffpF 6h9LQ1FP4CMiku9cObsJ9cHzkQ+v+6m13oj6AL8bu8Gsx+0w1Afrrpm2CfxV loD6YP7bMMusMe4ZqA9w2US19Ou64vsN3GVz+1p5/qIeGtjlsT9jtOudRBwv cKNDPh19XSNxvMDl9mnDVqwU8QvgL3qG+ww/fQvtB6766oBOxylRaD/wTxe6 nm1cKwntB75Ju2mj5QkZaD9y02P/GH8R3y+sQzk+K02z5zO0E3i/x4dHTBvv gf438E+hnR9fK/BGe4DvKzD57ng2Bu0Bnj3hd/I9Hfxei3ps078ET/wq3i+s f1lPaWytK+6hA7eZVBjq2Ool9o/1rj7klX2OEXkVwKNfdWh/oE0Ktof+LkRe WdPscAS2B97m5mnnAGcRN4f/b/P+xr391srQzwA+fKNMsnki3mdYh3i+B65L 8N7cevr7lJGWeJ+B83wbnGfAO7e2OrZ6TDr2g9+L89vXB+0U7yPeE+na9k3Y ENE/vVeCdVc4Hya10BtRU9QZA76+7Zw9hVoi3wLrdQUv23z3gsg/AH6cRT12 XSjqWQG/s3F9dkuFqGdF71/g+Svnl2JcumatFPZg/GRcg4Y7Xoi6Xvgd2arS aMx2Uc8Q5pGl9dJls0eJumTAL/aZqHNYRdQlA/4tI2T0m82iX4zDNDk6/s7J HLQT5+n4PhPNr4n6PsCPGhtNNrUXdgJfaz5kbOFdUX8MuJa2zCLIq/r4SeX6 URlSuOEAk19TxLiA1yr4qZH7ReiP95g9HzWaO1CMC/jGHE3NrwY5Yp/P+aP0 xEHrAjPQfqzbGnN/Z8EVkb8IPF8taviq3sJ+4G1XShqvZwj74X0yCJk7Z6qj mD/AIw1uTX5aQ9iPdWGV2hYOGUJ/4DPI/X3gUceLDjwamYT2A4/PWj+tKEr4 V3hfs3uL9a1Ginr7wL1fuvoe+Sn8K+BrDtY72qe5qPdO4zCYh8Tter2lq/do hbgXR+MtWF+I2/t+u5ODW5Lwd4HXOvfvZcv8JGwP48hvM/fTP/VTsD1wFt9m TkyAuD8G3KxOafeAyS9RN+AHdHQT1mTEiXosnNdu0vX3Ub9gkafFdfJrGDX3 /u044Zdz/nBzk/tZThHC7+R81IecG99UPHAeAled376dXtdHqAvwn1u+d56x StSHAZ59WN++R40oHA/w45PPlpivc0c74bldPNJsVrq/WE+BxypaxU048gLt BF7yaU2vcU1OoJ0YDxk0vPaCMF9cFzBf8YxqkZ9JNPp5NH8S5gdw1cU14wP2 iboKwHv6Te91/owYL/AWeTVflei/xvECj04c/m/wFH/UEeMzyeNVf/jb4TyB 79Vxvi8GHYB33B9tOHy6h6jTyHmZZnfV8G3XcR3Hc73NrSetdhB1njHP0MD0 6jZ1UX8Y+OaZceZv/6duA/BWpL4NzZME3YCXqPS+dbQsGXUDXn9X+LzNdYVu wFsb2036OU7UtwE+f+flyG75os4z2tNh+xH/IzfwuQL/J3vdgMnfnoi4DMl/ gPGCHtEBF/v4/Vn/YVz0HhzoAPyhx6ogv1ti/YL+bCc66TZqJMN+QI9T/DwR 63hw/pGf18P/j3XU+Pk73ivnfMkT3UUlRaLOBugXmPJs6ECzN+I8lfP8udb7 97wS9TpA1zMX1Dd8aBiP/eP5O4+3QD9Y94zXMYD2wOPnOLTKchF1OeD5WPx2 +5axU9TfwDqCtjUXfgoW/eD+eLNV5/nuqagv1qv0WpkhuyP8XvTv+HkxtAd+ K2pspBQjvovAO8/ssKlGvyR8LsCv8PtW8O+g8yKuM7SneeyYN1bNc6f3+6Bf 0DmMPy9oT8+LgdPzXOA0Dvb/ANfxbxI= "], {{ {RGBColor[0.880722, 0.611041, 0.142051], EdgeForm[None], Specularity[ GrayLevel[1], 3], StyleBox[GraphicsGroup3DBox[ TagBox[{Polygon3DBox[CompressedData[" 1:eJxFmgn0VVMbh++5++xSRKQ0ZygVTVJp1jwpQ5JQaEIZCqGiklJJZCohhaQ5 SQpRSiFJKCo0CA2UeQz5np/fWetbq9373P3f555z9vCO96ReAzrfkM/lcq1D Lse/XCv+OxZZgc6haS53PvwQfTfBF8APw7fAneFH4CHwN4zdH3O5vsgO6k9y uRXwWjiPfIP2NpwiV9HegSNyNW0dXAD5Fu09uDDyTdq7cEFkH1p73ZfvXK7r 4X/hV+CV8D/wSl0PB+Sruh98mP6iqb/naJ7tRrgFPJpnHsCYbvB0xgyEL4Gf gm9nzBXwTMYMg3vCc+AKXN8HXgCfSPsR/l3X0RrBd3PtnfAN8CL4JMb8DB+i 72T4F/hveBjtWn2P7gVfA8+DB3Gvlvoexg6n/zp4If0j4QHwC/Ab/O0u+ALG jqD/evh5+ivRIi2lbaT/E/qLIT+gbYGPR35E2waXQC6gvQB/z/gX4KXwz/Bi eBn8C/yS5lHvCH8MfwaXQr7CvafDryIH8flG+EXG/JL3XJXnGfO0++FKyAfo fwD+gDFLdD38GzyX63/Xtcg/6R8IL6b/LvhOeBX8Cfw5XBr5Iu1l+Ff658OL 4O/gefDz8EF4HbwRLqL9RXsfPkr7SHOhPYBcT/sQPkZ/p30MH6c+2la4uPYp bQN8JHI4z/cr8mvW/2XkCq0j9zpd74k8FlkWmaMtQFTl87+6FlmevkB7jc/P cu0s5Fd8ngXPhffCM+HZ8Nfwc/AceA/8uuYFXom8g3YlPIvv7MaYhtrDjFkD L4f/hKvDJ8LXwDXgk+B+cF24MjxQzwEvhn9MfL60vn/oXppf+KfE86PzldNZ 1PnUqyHb0KrANzGmOVwRvh6+gWcrmumOMfQPgpfRPw6+FX4FPjFaDxzJ2LH0 3wK/TH8LuBJ8AzyVv30El0ROpn8M/A7998C3ab/BE+Db4dfhh+FR8Fr4PvgO eAVcnPYbPEI6K+/zsoa+R+DR8FvwdPhB+CP4CXgCvAF+DB4Pr4cnwXfDb2c6 R+flB/hx+F74Pfhs3rkxsj6yJq00XAX5N3//K+cz0IzxpyCv42/t4NPgQbpW egG+Fq4GF4H7aF/BR8G94JNhpiN3vvRJ3rr5XM1n/r/lyXXUGNrX2le0enSW RPag7yy4FHwFfCZcAu4Gd4Xrw3fBteBi0ifwKTDLlOsM14SPg8+Dz4CPhy+E a8PF4YuyPSYb0UnvD5eGe8IV4QJwF7gyfAR8KXwBXAceBp8PnwnfAZ8H14Zv hy+GG8Cj4LZwVfhmuGm2n/vD7eHT4Vvgu+Gb4aVwB7gafCvcCC4HXw2fBh8J XwlXhQvDl8PnwmfAQ7VmcCG4O9wALgP3hhvCZeG+0rFwQbgr/F7w/nlQ76F5 of2h5+bzSORqrWP0/U5kAU+LvkcFuGr0vJSHK0fPVznZT3ga/CN8avR6lIUr Re+DMvAp0WtfCq4YvSdKp7ZZB7nvU6nt8n54GnIcranOfWrbvZf+J1Pbte/h Z5ATaadL32d65jv6n0Yu15nVnkN+QNutuaa/evQePRn+nOumMb4F87Ek+Ly3 o79btG3roO9EDqV/uXS7ngOeidwcreu/hecG6/+W8Oxge9cC3hJtP76DN8H7 4cHwc8F2trl0Bv17pGvgT+Ej+Nt98E74GHgyvAMuAj+iZ4YLyy7B99P+4XsW IKtF75WT4BrRZ/IU+Bl4MLwXfhq+Dd4DL4n2P/6G10bbj6OQa6Lt7pHIGbQh 8D7GTINvlh2BZ0bPyzfwk/BN8Ffw4mgbeUjvCI+HD8BvRtv1wshnaUPh/fQ/ Actx2w0/Dl8PfwFPla8Dfwm/FW37iyBXR9u8Qsi3aZvy9oveiLaRR+idov2z RPYu2m+TYlgRbVMLIF+L9tVS5KvRPlwe+Xq07YzIO1P7Bs8iX4r2yf6Bl0X7 av/C66J9i2OQ79G2Su8gl0b7jocZsx7eIl2DfDGzwX/RvzLa3hfUs0f7CkWR bdhnraW3Evt48q/mwjNY88vhE7K93AK+l/6jE58L2dev8vZvSzH2mMTnSD6N 9pd8swn0HUnbl7PvKzvyNHInfd3h8+BH4VFc3xzeQV9PWld4Kv1XwF3gx+F+ cC/ND3wp3AmeBF8GnwtPhnvk7XtPga+EL4KfgK/N2xd9LvGZ0LOU5p6F+bwn 53eoIptB+zJneQRtN1wEeSBnH/cw1w5HvkHfmNR281KdEe0L+CrNYWrbUjF1 PCCdfw79J6T2o44Pfk+973j6B9JfPht/Of0Xwo/Rvw3eCZfLez23w2WQn9J2 weXzXv8dcFmtW97rNSNx7KF5KB4de1yQrdVYGUc+78nOyj18XMf4e/O24+/K f2BMYMw2xlxHf1/6Z9E/PrVfOi/1ubkKnk3/FPgxeGvmDzwOb0scA2gvyM+V H6b9UobvrCXbmXgtFTNoXkvRf3dqWzAL+SjXTIG3MG50av/2OeQ59DeFx9Df ET4bHgt3gpvB4zJ73U62Bu6dd8wyDb4Ibgs/AF8Fd5fehq+Ge0i3ww8G78kS PE8v+i+W/k+sM66G58Bd4DbwxMzOyiYOyeyj1vSexL6ffIaRcCu4HjxC5ww+ C74TbgLXggfDF8Kt4fvhxnBN+Db41GA7mSDr0ErIX1CswJhh9K/kc4ng/VAc eSqfC9IK0Jbm7UcfSqzX58PfJNbr8+D92pPBftFnee9L7c+i8BPM9RqdO+QG Pm+Gj83b9h2GX0DWk89Em5izDZmKrIw8hCyZeC2Xcc3ryL+0N1L79lOQG7Pr amTPXJ32hfSF9DuyV+rv1j0OZ/ZPdrCVYgudocSfK2Vxk/Z03cS+heZoCeNq 0fdt9H4amfka8+nrrXVJHV8WS6xzS2Vn5Mu8bZ2eoRFyLp8XwgfkCyX2HQvR Fusc6Zylngs943Jkyezc7eS6OXnHN99meqVGplP0HTUT+6CKQ6vRNkmncH1j rj8QbWPLJF6zExPPkdb062D/QfdN+FwucTxTP1sL+dO/BN9X86zv1j0qZHOs 79H39c97HmZqjhlfMfFaNMzGaC0qZNcqRj4h8RjFVzWy9+FfrkE2Rs8vn6hy 4ufbnjjmPSrY19O66Ayvkm+XOIY9OZvTY+ivHRx//JX3d1fJvn9SsD58XnmI xPfQ90/Me/9oH81OvQekhytn+7BA8D3rZvddne3HJDtD+pvOlWxfncRx9aps 7JnBsbd0XdNgf7Betl/rBo/XmEWp9ZiebV6wPhuRWnfrmZXfaQe3pTXK5rVh dj41Z5o75SDkwz7F+B3wnNTPJ/+zUbYPpYtln9tkz1kxewftbz1Xq+yMaP80 Txz/Lky9F+SjnhQdcyn/0AHZntYscSyma/WOzbL5r529X8vsXlPznm/5rfKN NWcv64zmvb5aZ313u+wd22asuXswdVy/InuuDtl9Ff/Krso2tgx+HvnDp/L5 BPov0fwFx8hrGNs5y63VyOazcfb9E+nvqGdjzNmJ10lrVCebK/kzVaLjkDdT xzaKcbbz+cPE8chZfMfgYP38IWOGButt2ZAhwbr6I/pb8rkuPJzr+gXnB9bT 3z84xpe+7x0cc8kmXBL8Lm8xpkl03L4OvkbvSf+7mX6rnz1z6ez8ah3ll8g/ 2cc1ZTIf7CB8ZnRcuja1jyi9pXxSucy2fg2XzezpF3nnlXpK/8A3wjXg97iu Z3De4x24l/J08NtwnbyfbQDPMSLYzm6mf2ywbdqqtWBMK/g+nRX6m8Cb6L8t eH4+gFtFx64bU/tqOhfKB90TbH8/pX9csA3dBg8MtncbpOODbeL78PhgO/4Z fHOwnZWNHRls9z+mf0zw82yB7wr2AT5J/+/DaZ/VzHSu9EyhjOWf/Rqs2+Ub /xGcr1De4vfgXJl879+Cc2WKWQqmzpHK5/8z07vKZf0QnINSDPJjcJ5KuUDl iZQvOpq+kNoWy/8vkDoHKz98c7DfJb8pps6VKV4YEp2rUiz5D2Neytm3T1Pb 05jFmuv1TshNjBkHf69zz99+lG+NfCzYh1G8MyXYr1a8MznYr94Jvxjs2yg+ ehXun3Oc9Xiw76SY4NFgX3qX7F2w76cYbTp8Wc5xU0nu9718cWQ52m+KDZBl aT/LL0c+H+xP/hcbBvtdiu+eDPbHFNMpXyxfXTHj38G5VsU+Ser5VB7ucHDe VXHWgiym2JU4Tyj/89PEsar051eMnS2fRnspcQ5CZ186YAY8SXsGXgg/o/mB n4Yf1v5PvJZa033wU/BD2vPwM/Aj2ofS49zjPu1beBH9z2pO4EmpbfjP/P1R uChyr+aBMTO0LoyZnzr3JZ9H/pnGKxcq/0x+WiF4p66Hf2LMd/Bz8O/w1uB3 UVx1MDhf+od8k9R5Y8WY/wbngRWffh+cO/0z9bPqmf/NO0ct/a1civx/2Xnl U/cE6/lf4b3Bduo3+N7smfXs+4LnX+uwKzgW+IX+HcE+/M/wF8HrovV5Kzi/ cTB1PCI7o9z2R8HxyA/wZsU5cEnFT6n3uWLe41PnqBXzFkudc1ace1zqOoji 2RKpc9fHK5+RulaiWP6o1PUO5QSKpK6tKOdwbnAuTnmnTsE5QOWdHgiOK3fA HYPzhMpBFU+dMy/GtUenrssoj3FecB5M+ZDzg/Ngyvn0yXSX7ELf4NxdTfov D87LVYO7Bed1q8AXB+eKK8Pdg3N6p8FLg/O67eXvBMe/2+HLMhtUVfY9OG+p /FiXzB7JbnYNzqmeSv+VcHX1w1cF5xVrwRcF51cryVYG5x7PgK8IzhNWh3sE 52NPhy8ItqfK+SyIriton7QPznkqF9c2OF/6X84t0+eyrQPgxnBd2Q7t+5zz UYOCYyjp+VuDcwhn0X9HcD2rfuqalGJ2xdCqASm3oDybbJJswV7632b8kJxz QaNS15WWIm8JzmPUg49InbdX/n44/efADekbFlyPa5A6/7425/zPtOA6VFP6 psL94CbwE8E5E+lJ5SmkV6sH1/i+1dnUs/H5UrgxfH1wPeJM+NrM35D/0C44 b6y85XXBed3acJvg3LJymBOC626NUtdZfoBnIJ8Jrn+dLZsbXOdqBt8QXGur A5ePrr9NRy4Krju0SV2n+0M+KHJxcK2hLf3PR9e6pGdepn8w/edI/0fXlqRD JkTnX+QnPBidu5FNfzg69pbtnhydm9A5eiA6LyNf4v7ofI3s9X3R+SDZ9OHR NRj5ThOjc0Cy75OiY3Xt+UeiY3j5fg9lsbr8ivHRcb58tlHR8bb8tLuj8wXy Me6Kjsnlg42Ijrfl/9wZHZPLL+obXTu5WLouOt8kP+ee6PhfvuId0TUk+aj9 o+slPbR20fWYK7TW0fWPK7W3o23MNfDN0TbpavjWaJvRX/szsw39Uq+r1lf5 k+nZXlIuV/G4YrJiwTlr5dyU29H69s45xr0tunZ1LX8fF51fkG82OLp2dR18 U7T9uwruF10f6q49GV3LuVz7J7re0xO+Jro+dJn0RnQNqZt0RXQ+4hKdzWi7 2BceGG1H+8ADom1nb3hodJ3s+tR5ZMW6yj+Pic7jyPd7FD6Qdx6mZ3Sd7ELp rugaRmfpJXh03rXdHtG15POkV6NrwOdLl0bnfqUzu0fXgM+FL42uK3eU/oyu H3eCe0fX4S6Cu0bnopWf7xKdx9Z56QzfkncuYkp0blF+1GNZvkw+0oXwrXBr 6dXofLjOVKfonLbOZsfoPLbO7DnR+Wfplg7R9XXplvbRvw+Q3mgXXdfX2W8b XUeXvqoTXceS/m8RXR+SfmsdXR+SzmwZXUOSLm0eXfuR7m0WXR+SfmgaXUOS zukTXUfsCveKrkF2gc+OrslJdzWOrmvKRoyOzs0pvmgUXcOTTWkQXVuSrakf XR+SHTkrum4k21cvuh4mm1I3ug4ne9cmunYrPVw7upYm+3hGdI1N9rFWdE1O dq1mdB1O9qthdL1Qdla+qGolqpkof6La88nR+TTFiorp30xc90zhtbSxOb/7 muC6qvbDm8H1Tc3DhmA/UGfh3eB6qM7C+swP1FnQ/lXeWLHbuuAaqPTJ6uC6 qvbz68F5PO3J14JrstqHSxLnt/T7B/1WQLGefhexMdjnlJ55KXEt7x/6VwXX dnUuVgbH8tr/y4Prv9rnK4Jz1zoj7wf7tzrv0h3SIYoflWOXnjkj2C7Lln4Y XWtW/kk5wnzq34fID/9Lc5ezPlGeS3kn+bi3R8fzirvHRseNigeHRceZimGV 11UOblnq3LLyhquRI6PjbcXL8p+V51Id6oNgX1166afgWEC+uXJziuOOC869 K77fGJ1f2J1zbnNX3jULxcXyG+Q/KEenOrv06Cpk4dT1dOmlQ8F1fOnPP4P9 BMWGhVLnSOUzyJ/X7xlUL1MtW/kx5dI+pE3OWf/vDo4d5PcqH6vx1TT3qXNj 26PzhMqTnBZcC1cuQHlA5W0aID+LjlkOZftTvxWRf14wOAclX2NftE+uvNdW +JTgun7zYF2l397oNziyJbIpis3kFynf9nF0blbztyt6jbXWyidLv/6a7THV OxQrfBKdX1UeT/m8Qdl3VgjWeT/l7E8o36r11W95FkX/VkaxifJHyiOpRrks 2wMaK/9Mfprqmx9n8YLi4k+CYzfZ0O3wzJxt1ufBcZZszTfBv9OQbf02+LcZ sqGaZyUSla/dHxzjK045AC/J2eZuCc4ZysZ9GRxzyS5/FhyjyX5tC45xFGcp V9Y6m1vlwZokXiflJDUnDYP3sdZL66b8l9ZX9VPl05QLa8KY7/KuQStm/iHv OrLi9p/yrjUrZv40OCaV3VwYfN5lUw5G586kx76Kvka1FcXaqgWrJqw8gGq+ qv1+GX0P1VlmRdd7FH/Ni/49jWK0DdE1J8U1c6LrOorF5kf/zkYx3fvR9SfF Vruj30H1wYXRvzFSbDg7un6jXMTc6N/xKG5VfkB+qfzTL6LPpOpT/wOU+92b "]], Polygon3DBox[CompressedData[" 1:eJw1mnngF1MbxefO3GlB22spS7QSWbNTtCkhS7aIkjUhaZOliPaSlEQlKqmU SlnKUkmSJbKUFipRKSEJL5L3fDrz/nF/c8+99zffmbs8z3nOM1Wvv7NFhzRJ ki/1J+raWX++1/Vb4WV5kjxGe5YkD6ntI11XqQxT/Vm136n+v0OSvCmc6fqa 2larrbTGTOUeuq4ULqHrGH5D1+66/w+q/6Cxn6uvvPAq4c+EFwvvpzH7q6xX W0X1/a76PNXnqH+2+h9U2y/CXYVbCF+i8rvq29XWRdd1wrX1P5X1PL9yH+H/ 6Dpd/b/pukblcdXHa+xd6lujcrra6mn8G7r318L7CD+jMZt0/VHlVdVf0vgZ 6lulUlJtf6ptgMb/pfps1d9Sf3f17au2r4RXCH8gXEZ4hfAnwu8IlxX+UniZ 8CJ+S3i58MfCC3l/nqFYjw+FDxBeJ7xKeKlwOeGVwp8Kvyu8XL8/SHiU8B28 q/rXCC8Xfl+4gvBq4S+Elwhv1/g5wrOFXxLupv6twt8Lfyb8i/rnCr8sPEv4 IfXvEO4mfGnuNWFtVgt/LPyeSinVSxf331/9a9W/Uvgj4T91v1nCbwrfLbxe eLLwROGpwqOFrxLuKHye8DMqf6Re4wd0r0Xqv5u5VtuN6psnfKdwL+HWwn00 5jfh3sJthBeqv6twP+Hrhd8S7iD8oPC1wm8I3y7cU7iV8Fzh24R7CF8t/I5w N+H+wjcIvyl8B88ifI3w28JdhPsKtxVeINxZuI/wdewNPc8nwu8Lz2f+1H+R 8DXCjwg/LHyx8LXCQ4SDxr8vvFD4deFe6r9QuJXwYGEO5RJd3haeK5wJfyj8 rvAbwlH4I+HFwm9y9oQXclaF7xV+QPdrLny18CDOovo/Fl4iPE84F14q/J7w W7nPOGd9mHA74Y+Fews/LtxeeKLOyfXC1XVtr7a17GmNeV1tO3QtpfstU/0D 9S1gLdU2X3iu8Mu5zz3nv7z+/1DOl/A24TLCBwt/pTJCeILaO2n8Rl23CJdT f2X1fSO8Wbis8CGM15gjdT1Y+Dtd/6uyQP2va9wr6jtM1zUq2LjG6ntFpZ3q 96mhpfqXCj8sPFz4VuFlwn2FnxC+XfgT4T7CI4RvE/5X+D3hBcJzhHcLLxae L/ya8C7hd4XnCb8q/IFwD+EhwrcIvy98v/AjwjcLLxG+T3iw8E3Cz6r8N/WZ 6xV9pjhbrDlnebHGD1B9oNqeL/5/oPAg4UnCVTTmIOE2mo/awgcJ7yt8kXAN 4UOE9xe+VPhw4UOFK7HfhI8UPlD4P8LNhauz/roOEf5bJddv7Zd7fcsV5/8w jT+Q/axxRwlP4Z2Dn+kLja+q/oNVb6u2o9V3ntpKCtfU/9cSPlj9+wlfov6a wqeq/0zVm6p8qrJS+Fn1j9X4rer/TPhJ4ZHCk4Ur6/8PEL5cY48QflFlbfD/ bNbY7dHzxTPxbD8L9+d8Bv//P8IzhX8O3i+7hGcI/xS8Xw8Xri58m/DxwrWE awrfIVxHuGXm3z9Rz3Mi5zm3ff09+LxO1/iGqtfTuG2cN2yS+ncFn7eY23/u 8aP4w9znee/Cf9TQ/zVS30mUjEXQPsOXBe+/f6P9087g/bdb+BXhX4P33xTh s1U/Q//7g3Ca277/EWxvKuQ+//sU/qaaxh8ifIP6jxGuKVxNuL3wccJHCNcQ vl34BOGn+L9gH4Qvqq7+yqrfpLZj8c9qKyv8lcZ9gn/KbX/KFP5h39z2smzh 31gT1oY1Y63ZQ0+p/mTq9XsGPxXMQeAia1Umqf6c2l9Q/4/6/XvxN8HnARv5 1/85ivo2Cx+t/0nVNlJ4i/AJmW3SPcLb1P6i6omuL+iem9RfXf1/4FOiOQFc gj64QjXOFHsfW4a94kxk5iM98U3RXII9yd5kDViLo9hf+F7VJ6h/hu7XVX1b hMcLTxfuknvOvk49p8zlCpXBqo9WWwfuJ/yc8Ezhbvgn5lRtUfcfpfsv0PUB 9qPKbo35Xv3HqP8ybJyuAZupeh2NW6iyQXi08GSN7Zz7zHEmH0t8FndGr8cq jZ2mvtVqGy48TuM7Fv6U+b9feKLwr9HndWWwv+dMcr6mpp4POBfc6wiVl6K5 5l/YPpV31PaN8BTVn0/9e/M0pr7am6k8BlfNfH6nqX+6+ldwJvC1avuQM6cx 96j+RrC9/Dnz+ZmlMTOxtdH7Z2Mw/kP4eeHvgvneJDht8JwwN7wD78IcwGW+ xEboWon3g69G2551wc/DnvwyeA7Yq3BQzj9cGW76d/R++jGY3/4ZzY82BfMz 3pm5HpV4Lv6Kno/Nwfxsh/DIxL/Bb52m0hXbr7bWGt9J5WzVL9Dv9VHfvcJN sZfCA3PzfPj+3vqfA9W3jj0vvJdwpcy8EH64j/BBmTkB54/9AFdgzb8J3rPs hWsz2/vT9X+nqu8ilZnBHOwg1RuqDBRuINxFY9tk3ttnavzpuZ8Z+3NG6nfB J39enHd89SCVZqrfqP5zeVfhE4UvFm6U+5518HepfwvO8kXwHoXLzNF8nSJ8 lkr/aJ/7YeGv8KX45I8Ke4av7oE/Uv0q3a9pbh++NPgM4tvhBMuDYwq4wjWZ /e9pGn+K+i7UdYD666uts/paZfaXp6r9ZGwBa4It5Z04+9Fcp61wD9XPVP99 we90k/rrC/fGnuODhMdFc6HrOHOqn6X73oOvwobjO6O5VRvh+1QfG73WLYS7 ql5X97s/eA5v1vgGwn2C37mD8Ckqp7H22H/Vr9D9HwveQ+wlnhn/cHbqd7k6 M584Rfik3GsySOMbJl4r3gF/Wj/1u/Gb+JMGqZ/ldmyj8LnCZwvfJnykcFPh s3I/09HC56V+VuaAvd4s9dzA2VYEc0i43MXCLwXHDIfwrpnnrqXGN2FuhU8X vlL4HPar8D7CtVP7v8sy86HjUvs/YgzsEvaJ2ONi9ZdR/ejU/u7VgmPCLa9S OV/1Uuo/IjW/ulB4b+GjUvOh5sJ7CR+Zmq9dIFxauFZqPrUwmgsNVdvA6Bhj UTBHJ/Y4N9tDCZLqqflc08xxfLXUfKqJMLShamr+BweGC1dJze+IaeYFc1Ji HWKit4I5KbFSM5USqtdIza+IufApPRPHYsRU84M5LrEWMRS+Fx+AL2AOXg+O 4Zgb5niY8LmJ556Y8hXhToljTeL5WcIdhSvn1hjWC48r/D0+Al9RW+XRaB+4 prDP+MYG/Eawv8Zvw7vgX2OFx+gdrsjMN09IzV8uz8yPj0/N7+AX6wr+iL+7 MjNfrpOa78F3VhX2H25CzL26sM/wH2LUJcExBLEr/m039iCz1kDM+G5wzEEs eRl7JjiGnM7v4UODY9CXOW/Cc4Jj2lnClwu/FhyDzswco74XHKMQuxLzLg6O 2YiF4Rrwv0eFH02tmbwsfFdiLQWb2y34TGGLOXMPB58JziJn7iHh0xKfRfwh vmdK4Y8qCVdU+Ty1xoAGElLHoGgjLVSqqH6M2u7PzSm+x1cV/hStp4RwSZUD VH8xNRfHp+PbOT8VVT9c7ffl5jg7gjUXuA+c6ZdgjQEuhc3D9tXT+Adzaw5s +LcTaxHElN8GcyZiTXxi98Je4iux1/cW9hZf0lblONXrqv0B9mpq7gyHRitp r3Kq6ueo/WH8FTZTuLHwQ/AbXf8NjkmJTdupnKx6I7X3ys3xtuPrE3M/YtUN qpdSW0Xhd4RLptYI0Aq6s79Vv1Rt/Xk/4cbCLYT74ctSx2bEaMTi/TJzvTZq ezS3JlBe9U8TawUdWWPVz1db79w+Cl/VXLiv8D3CTYQvw48Jl8itx/0TrB/0 Z08KX6f+ocID2LPCbfETwqOEb8GXCI8Wfky4tXA74Sd4nuj4f5vwSOGh2BTh W4RHCA/Bp+KbhB8XfhIfwt4UfgouwZkRvl54GOcTH45vFB4lPJIzyd4VfjI3 f2iJbxQenhfvWPhf3p05uDt4zZkb/NkRqp+s8T2x6cKHC58k3EO4mcqzwRrW 4MxaSBB+g/UO1gp3JY6h08za6D+qT2O9gznMM8HPxLOhSW4IjgnQKuHwi/jf 1NyePX2r+qsW/p092S74jLFXLxSeEaxZVcL/qEwTbi/8rPovEH4xWPMaW9jL /YsYoX5mnzg8mGPhK5uwT4P3OHsdDvS48HmJudHzer4Hsd2cf+w1cVjwmrP2 zdU2PVhzG59Z45sarMGg/T0dzTUv4fwV/IVYE04Bt4BT4/uGpubaxGrHB2tQ txY25XzhColtzdrU/BK+cVe05ta/4F9ocWhgfYP3PNoYHLhXYd/gM2hyAwp+ ilbHnn+weH/OAppcv2BOjVbHGXwg+MxzNtkDzM1NqfcGfOmhwp7i715ELxF+ mj0RrVlR3yuzlvVadCzGnPZW/djUWgwcBC5yMgVbGawHYGM6Bu9RbA9xKPEo MeyUwibdJVyrWD/Ws1Mwp8KeEwsfGhwfv5paM2dvlsuspbPn0YbgdJyFkrn1 vN3B+mbDzLHYeSpfBfs5/F1j5kj1unqHqxOfEeaD+Lt85ufbWawvsRMxH/zm zWhujs9Cuzgu2hZjk+GXZ0aftWeKs3NLZj2moZ69HvtD/Scl5rTwyUrCVYJ9 zJjo+BfdEv1ypnBj4cGqN9L/dNO9XonmFnAGtBvsaVL4M+zlGSrnJz4DnAX0 AQgW53ty9DP0CH4Gno31RZv8p1jv66PXmz0wLXq+yVVgM0YIP56Zm29JnR85 PpqbEwPAlyehlwVr3vDPb3ProMQAxAInw+kTc3j48UnRXJ6YAX78nHCFYH0d /78ztQ6LHjsh+jzvq/rOYv+hZ/yW+rxN1biJ6IPB+iR8rWV0LETMROw0LJpr wdFmwS+izwM2BdsyI3ruOcMj8J3Rc0+MQKxwrPAxiTkJ3OSYaG5CTEs8uCG3 TkxMQ2zDmjHXl6ReSzS4DsF7Am2uTvTZ4wzCZb7LrSMTYxFrnRJtK/bYDP4/ Oj6AA8GFTou2hXBWuCuaNv787cK/cgZ2F/4d7X9X6rmDX8GzDs4dm/Gb/HbD 6FiEmJjY+MDcsRlryFri40YEa/b4PjjPlcExBFwInzkyOKeAL8VHPhGcM8B3 4kOfDM4x4FvZQ2jubRPvrUbR3JqYiNjonGjuCQeHi98aza3gVHCrdtHcCo4C V2kv/HJiDgYXI0fD3iAvQO7mntz5oA84NtE+mXgRvo+vxucOK/wL/g6N+wbV nw/WvhtHxwLMHVz1qmgth5ib2PtTbEhqztNX/39JdCxETEZsxvklVsUGER9M UNuUwh/N1vjxwpODOcJL8Ev2p8prqs/BHkbHk12C9Qs4Vc9gzgbXei63f8N/ Eef1ybx/N6XOn/XOvJ82pM6f/pP6rHYq5pg5Yq5450NzvzPvDkc5LDenuCqY 88I1KubmS+x59n6DaC0FH4+vh0PeGcxJ4JYH5N4b7AH2wsTC/+PvicfQwNDC iM/IJZTKvXf3cFTV98+9d9B+vsnNmUYHczy4FJoasR9aIlob8R2xLnPIXJKD Rf/ExmBr4ARVM9sUbAs5yxIFnyWXSX7jiyJ+IJdIznKv1Bo4uUw087qZ1xR7 TI64ZLG/yB2jkaOVo2GTeyU/mxU+dXB0/pm8BfmLQdExGD6qru5Xlb2Y+fxt K84L78S7oZf2jT6jvwj/lPjskrPNU+fkyOWiAaMFoxcPj9b00PbIhz8VrS9v Fb40sb3D/vMsu4rnw17yv/jsjZk1cbRxNHFyqeSMY+qcE7lkOCBc8F3hKqxP 9G/hw/GnNeAU6tuo0lH1c7AriWOKDtH5dfj/Z4n9IfwSrThXGa3669FzQw5m bvQeYC/A0eBq6NfHZ+Yf+Oflwn+n5o/zM6//7OAYnlge/Rrtn2e6M/p8wPXQ GOFnaP5li3iFXDc5CHIR5AjIhZMTz1Ln2MiVk3MqV8Qv5KKHZ7av5AQ7Ff4T W0fOEH3rYY2tltln4jv7FP4VzbNLtD1pnVrjvDvaHuHb8HHT4P/RewGOPLl4 3z/hSfgI4TYqTyTWnNCeWkVrlWikaKXkBOBk/ybWq+GnaKycMfjlNdHaJBon WmfraO0KTRFt8dpobRENEy2T7zHIi6EJoQ21iNYS0ITQhupHc384N9ybby6w n5wBzsJ10VoJmgXaxaXRWgGaBNrEFcL9EmsYaBnwMdaaHAF6advobznQXNBe LovWHtAc0B6wAd0Taz7YhsujtRA0CrSK71LndFkz1m52dC6kosoLql8Zrb2i yaLNYkPRqNkz7J2zo2MJYhhimWbR2hKaCdrJudHaCZoJ2sl84QbBOYO3VL8g WttCo0Krwob+rPv/mNi2sl/Ig8DB4eL4yF/RJBL7Tvwd3An7Bh/CPqEx8RsL onOaLYNzguQ6m0dra2hqaGsXRdtPNDO0s3rCtyaOiYiNzoq21dhsYjfOFP6a Pcfeuzj6rKHBtS7mE90eTRdtt0m0NoSmhLbE/KKFkUN8W/ULo7U6ND+0v6bR 2hKaEtoSMfWY4BieWHuc8KTgmHsGtkTjW6k+Tm1j+P3o+Hw89oHzXqwla4re VAF/EGxjlqa2Udgq4g5igS3Rvhmfim8lZ7ond6o2hEw0BrQGYg6+XSDngf6E foT+gsZMfEP8Q3xyVHRsQ4yDvk6hTvyD9k48RfxcJXG8WDtab+4crNfj8/H9 tJHLIAdELogcEd8CMYax/AZa/+3Y6MSaF9oXnIfYf1FqLoRmSK64RmItET0I LgWnQo+CL8INsE/YqZqZ54/vi9ALyM/1ShwjkWfaEK13jA3WU/i+gfi3fGHf yXmyt9nj5DOOjH535oi5woZhy9BGiV2eiM6F1i7iPXwSvgndAl9KDpxcOHoc 33KgmZL7rZ5YS0UTJ16vmjg+RUMlV078jrZ6W3TsRAyFFoeehS7CHDFXa6O5 K5wWbovmzbcExJto4WjifMtAzgStfH00F2GPsldXRMf2xOzE7j9F2yrmCr3g c+F6iWN+Yv8vomN/Ynhi+eXRsTwaAVoBmjjxNnoCWvniaC5GDEwsDOfEl+Mz 8B0ro/W4R4P1r2+iz87TwfoTmjnfJqAho6WvitbThgbrY3xzgN6J/oc+SA6B 3Dk5MHILaPp8q4Fmjdb/ZTT3HRKs51XIPJeVizVcHZ2bgXPDvX+I9lVwMLgY OQ1y++ToyHXwjDwrewrtjBwF78o7E298hc1MHJMQm9TKvDdrBOeDyGHwbQc5 L3IbX0fHLsQkxCZrork/nB/uT06Cbz3Q3MlVkJPg2xT0DXIV5DzJfaIv860a eit6Md8T8n3R1mgtC/sItyWHDZcmpie2Xxetd8JZ4a7kVMmtknPmW8JF0WeF M4N29HG09osGiBZIDphcMDlYcsVLo7VANGK04qeCc6Fbiz1QOjcXg6PAVW5W X+lgvgPvwSZiG9E0x2XWt8lnjE+s95IjJt8wLrHeTQwP19yeOh58Ljg25/sE 9C44GFxnfWputik6dsBGY6s/jLaFnHe0nzuiuR6cD+33rMzaDDnQZSq/RHM9 cvzk+qcW3B0OT+yPjcfWY+Ofzvz/6HFwRPSdYzPnFsgRkivcKzdXg7PCXfkG FL5QKvO3oeVyf8sEx4frc2Y4O5wJtGT2NHubM4V2zRnhrLCn0ZbHCk8Ijokm CJfJHUsQExAblM0dG5Qq4olbovcOe4jcw03R2j8aK1rrDdFrwZqQa0ITwNfv SB2v752be8P54f43Rmuz5LzJfe+TOxYgpiG2YY/ye2Uyfxt3s8ZPTJxzIPeA ZgHX+Cl1PEfMSI4dTgo3/SA6lkPTQ9v7K7WWQPzEGf40WmtEk0Sb3Bi9t5gT 5gb9FW0MjQx9dVl07IpGiVZ5YmZtEQ0RLfGzaG0TDXRg0c+3RifAF1TqZK6T U0Mf3hzNBYihiaU/Ej42sWaOds43TXzbRI6Abwv5JmnPt0mJv5V7JFoLK13s h70z641oZHzHh4aIlgifIl/HN1F8G8U3E3zryDdPe759SvwtHj4QX4h+PqrY j9gmfChcZGg0995z79wxGNoTOjKx2ZJoLgAnQFt/T/iwxJo62jqcHX2zUWYu /320doCmgLbwdbDWxTcsT5OjiNbyyhbrzzdWe761Spy/4ZusPd9mJf5W8H9I d8kZ "]], Polygon3DBox[CompressedData[" 1:eJwt13fcj+UaAPDXOyirsvogRSQVldkh1TkUKXvPbHHMQjhGZLxU5GQ37NDJ CqWUVUbIStmjiE4ZTRyzvtf5vX9c7+++vvf1PL/x3Ost0q5n/R7JSUlJn4s0 8VVqUlIjMD5TUlI1+YCUpKS8Or5l34nW7HW2Td0T8qHqKrAurB4bwa6J3mwd 28oel7+orjzrzPaw5mwSq8mGss9ZcdaMNRUlvOdxFh/uXXknddPUbWc1WTp7 lPVil+W/a1/yuowvF9+q6yafr91B3xR1X7Kn2Sj2CHuO7WYN2WvsCdaffce6 swWsI5vKOrE5bC+bzI6wteySdgntymKdfIuoqm6IusHxPr7HafYSWy8vLT6U PysWsEPyt9zjhOu7sk/Zr/Ed2GX2C5vK9rOp8XzYf8S74g9+QRTyHj+rm6K9 T90UdXv0L2T55XdrZxavxLMQfdUVlufS9468tZjMvpCnu3a3vnNsPNsVz1d8 JF/G3xf/1R6gr7H3XSpfIn5g/Vkjtli+SJxi/VhD9pP2IO1P3GuA91ilvzNb HOOKzWE/pSR+m/iNymhf0TdcvkQ00P8GL8WXxvMRX+rPlJwYu1nlbcQb8i/V vcr2ql0hlosf9f1LXxOfpa32m9rb1Y1Vt09/N7aa/cZWsCvsVzadHWUz2Mfy KuKc9iCv89UsEKu1/67mYe0UMUY+2+sscVK7t3vU8r4btEtpd1Z7h3s00L+J lWe9WHHWLJ4vu1V+l3aSSJd3ELPUfc0n4kN8B6vFRrPH2POsY7w3+4ZNYofZ Mna3/IjILp8g3ynqqxsbv5V43OfbFb8zGxe5a/upbc9msj1sAjvIWrIJbCMb wXawquxn7cGpibEZY3R9zAU1xbQfjGch/4c4q26g13fYPNFKe6L7bVI7Ut9O dpa9wrayMWwTe4ZNYpvZKLaLnWEvsy1sNNvMWrDX2QY2nG1nG1k51pP1EGV9 38fY8+zttMSzimf2AHuMdVVT1LUd2UwxQ5zQ95y+p9XnEQe1bxfH1OXTV0AU kdd2rWZSddc8otGLzWTN2Vsst2sPxLyNscXyqrmJfSPPLw6yW9jNbK+8QKwT LBdrIl6Vr3a/QWyL+zVio9nHrB/bwBqydPYReyHWd9aAjWIrWV/2GbuNFWX1 WWZWgxVixWLesizsKdaYjWGrWH+2kd3i8+1jBcVhlltNLrZffps4wvKwp8RA +Xuu7cJWurZGxnycq/6DmPexnrF57JS6Beq+ZRfZ+7G+sw/YOXaJLWfn2Ur2 M/tfrE/sj1hf2Vn2e4wxdpLNZ0dTEpvcOpYa4016nZ1X9578rLrF7BRLVvcZ yxzrIosHmomtl6fFGER/Zuxbd8Va6NomYqCaC2whOydfou4HddUy1sJZaYn1 MtbNguxOVjdTYu99kuVnhVnNTP+f+knV/Lk95i9rzm5kNVkOF3zF8sXewG5S s1lUlvdTdz9rp+7RjDH7lvq35dNFMXa7/mdjTYg5Ib9B/1btnGKnviyx38UY VDNXnI89Lda5jPVsuvo57jVXNGfjYh1Q92fsr/KUWO+0L7HL4hP5DJ5de5r4 Sd8AeU6+R/tWccA9bmYPx3onn6DuKfZq7K+sI5vInmZjWT7XnonnJp5h/2ZT 1S3SPqMul3ya/LJYEXtl7GP6fuE3unYHyxVrKsumpo4YKl+qridbo64+G8k+ ZH3Y+pTEd9vIbhQ3xPeQp4pN2lnFtli2XZct1lR5njg3sBwsjW2WZ4t9KoYV y8y+kGePPSmGaPxObLc8b+zpLCfLwrbIc4gdLHPGOl4vOXHWiDNHupra7EW2 JNY6dat95lpsCFvMurNPWV02jL3PerG1rCYbzBaxbuwTltU9d7Lcsa+w7GqO ia7yeeras8nqrrM1LDnWXnaN/cnWylNiv2BX2arUxH76NqsoL+L+/2RL5Sfi TBLPj5dkFVl7dht7ht0f4yM5MXZjDLdhpVgl1pEVYq1Z6dhrWPfYR2Osxx4U 45d1iz2JdWL3sb+xtqwga8XuZPexdiwHq8uKspKsA8vJ6rEucTZhx2OOsNPs HlaBtWL5WQt2L3uItWYFWEv2G5vLvmfz2LGUxDyJ+XJLrD+xjsXao+4Rr/3l D6hrq+8Qax9zMNYc9jJrFnOQrY1xwLaxw6xTrDmsBXuNHWWd2RzWio3PWBNi bfg+Yz+s6XkszDgfxjnxYuxzsRfpb6U9lddx7Uv6TsdcFtniWbN3Y4yoa+l1 Cq/Nhuk7yNrFXssaszFsP2vD3mQNWTo7wp5ls1lLNo7tY62TE+e/OAeOYl+z Fmwyq8VeZAdY21jrWCM2mvVnP8YempJYe2INKiLuZW3iPKSujr4SrAxrxPKx puwOVoK1ZFlZLXaVfcyusTXsAqsQawcbGOcK1jfjvFE2OfG/TPxPM9jv9xCr ywbJy6l7Qd3YWHtTEmf0OKsvkl8RH6m7Kl+t7ry+6qmJ8/XstMQZPM7iTdlY tibur25rSuL/jyrJiTNOnHWGpSXWtljjtsccVlOYXWOr5NfVrNV3kT+ZmjjX z0lLnJnj7FycPcjqqcujrjGbyHJ4/ZEtZJPk40XWlMQZOM7Ca+TlY+937Qtx blfXU99d7AFWh+VmjVgl1oyNZJXZENabHWevsKqsT8zTOP+w4axSnMHju7B7 Yv2PMchqx2/JSrMGLC9rEnPad6rqtUqMd3bSazl1NdT1VVeS9WAVWVM2Is7z cZ5lZdmTrA+7j3VnZVh11pvdy7qxvwCT3e6a "]], Polygon3DBox[{{934, 933, 1305, 752, 753, 1306}, {936, 935, 1307, 754, 755, 1308}, {932, 931, 1303, 750, 751, 1304}, {1093, 630, 760, 1311, 941, 942}, {1142, 742, 396, 397, 743, 1143}, {1174, 783, 490, 491, 784, 1175}}]}, Annotation[#, "Charting`Private`Tag$3118#1"]& ]], Lighting->{{"Ambient", RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]}, { "Directional", RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], ImageScaled[{0, 2, 2}]}, {"Directional", RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], ImageScaled[{2, 2, 2}]}, {"Directional", RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], ImageScaled[{2, 0, 2}]}}]}, {}, {}, {}, {}}, { {GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl0rkvZlEYB+Dz2Zexjm3sOhJLTUypGhFBSBAREQmFpaMRjdCIjoKEZvwF xERrJlPz2fnmIxOd+AdE4rlR/M7zvsm59z255zZMzPXNxkIIq9KqiOpGy392 pYZQyH7WcYKtXOB3rrCbmxzhHvdlRn3CJf7lOuPcZpIHfOUR3/mbO2khpJvb LnF9M+ukKCWEC30xL/mVVyzhNUt5wzLespwVcqf+xntW8oFVTLCa/1jDJGv5 GL3DWTLN7JAnfQvrpcLZzvU5POWbfYd84U8muMUzrvEPF/mLxzKt3uUwN/iD y+zkHFs4zlrOm/HMNnML2MRsmZJ8/STzorvgl+g55nKMORyN9nOYWRzioGSq B5jBPqazl8aFHhofupkSfUNNVuzzf/gAq1038A== "]]}, {GrayLevel[0.2], Line3DBox[{837, 1134, 543, 836, 1315, 1049, 838, 1316, 1050, 839, 1317, 1051, 840, 1318, 1052, 841, 1319, 1053, 842, 1320, 1219, 1403, 843, 1321, 1054, 844, 1322, 1055, 845, 1323, 1056, 846, 1324, 1057, 847, 1325, 1058, 848, 1326, 1059, 849, 1487, 1135, 1060, 1136}], Line3DBox[{851, 1220, 1404, 850, 558, 852, 1327, 1061, 853, 1328, 1062, 854, 1329, 1063, 855, 1330, 1064, 856, 1331, 1221, 1405, 857, 1222, 1406, 858, 1332, 1065, 859, 1333, 1066, 860, 1334, 1067, 861, 1335, 1068, 862, 1336, 1069, 863, 1337, 1070, 864}], Line3DBox[{866, 1223, 1407, 865, 1224, 1408, 867, 574, 868, 1338, 1071, 869, 1339, 1072, 870, 1340, 1073, 871, 1341, 1225, 1409, 872, 1226, 1410, 873, 1227, 1411, 874, 582, 875, 1342, 1074, 876, 1343, 1075, 877, 1344, 1076, 878, 1345, 1077, 879}], Line3DBox[{881, 1228, 1412, 880, 1229, 1413, 882, 1230, 1414, 883, 590, 884, 1346, 1078, 885, 1347, 1079, 886, 1348, 1231, 1415, 887, 1232, 1416, 888, 1233, 1417, 889, 1234, 1418, 890, 598, 891, 1349, 1080, 892, 1350, 1081, 893, 1351, 1082, 894}], Line3DBox[{896, 1235, 1419, 895, 1236, 1420, 897, 1237, 1421, 898, 1238, 1422, 899, 734, 1137, 900, 1488, 1139, 1140, 901, 1490, 1142, 1143, 1489, 902, 1239, 1423, 903, 1240, 1424, 904, 1241, 1425, 905, 1242, 1426, 906, 1243, 1427, 907, 1352, 1083, 908, 1353, 1084, 909}], Line3DBox[{911, 1244, 1428, 910, 1245, 1429, 912, 1246, 1430, 913, 1302, 1431, 1146, 914, 1301, 1505, 1181, 1138, 915, 740, 1182, 1141, 916, 1491, 1144, 1183, 1145, 1513, 917, 1199, 1200, 1512, 918, 1247, 1432, 919, 1248, 1433, 920, 1249, 1434, 921, 1250, 1435, 922, 623, 923, 1354, 1085, 924}], Line3DBox[{928, 1355, 1086, 926, 1356, 1087, 930, 1357, 1088, 932, 1304, 1358, 1089, 934, 1306, 1359, 1090, 936, 1308, 1360, 1091, 938, 1309, 1361, 628, 1188, 1152, 1362, 1092, 1189, 1154, 1363, 1093, 942, 1364, 1094, 944, 1365, 1095, 946, 1366, 1096, 948, 1367, 1097, 950, 1369, 1099, 952}], Line3DBox[{951, 1098, 1368, 949, 1444, 1257, 947, 1443, 1256, 945, 1442, 1255, 943, 1441, 1254, 941, 1311, 1440, 1153, 940, 1310, 1439, 1151, 939, 1509, 1150, 1187, 756, 937, 1149, 1186, 1508, 1307, 935, 1148, 1185, 1507, 1305, 933, 1147, 1184, 1506, 1303, 931, 1438, 1253, 929, 1437, 1252, 925, 1436, 1251, 927}], Line3DBox[{954, 1258, 1445, 953, 1370, 1100, 955, 1371, 1101, 956, 1372, 1102, 957, 1373, 1103, 958, 1374, 1104, 959, 1493, 1155, 1206, 1259, 1492, 1190, 1156, 1207, 643, 1191, 1157, 1375, 1105, 960, 1376, 1106, 961, 1377, 1107, 962, 1378, 1108, 963, 1379, 1109, 964, 1380, 1110, 965}], Line3DBox[{967, 1260, 1446, 966, 1261, 1447, 968, 1381, 1111, 969, 1382, 1112, 970, 1383, 1113, 971, 1494, 1158, 1114, 1192, 1510, 1159, 1194, 1203, 1217, 1204, 1515, 1193, 1212, 1160, 1208, 1262, 1495, 1195, 1162, 1218, 657, 972, 1384, 1115, 973, 1385, 1116, 974, 1386, 1117, 975, 1387, 1118, 976, 1388, 1119, 977}], Line3DBox[{979, 1263, 1448, 978, 1264, 1449, 980, 665, 981, 1389, 1120, 982, 1390, 1121, 983, 1496, 1163, 1196, 1122, 1164, 1497, 1161, 1213, 1215, 1216, 1516, 1198, 1205, 1167, 1201, 1211, 1499, 1313, 1210, 1209, 1265, 1514, 984, 671, 985, 1391, 1123, 986, 1392, 1124, 987, 1393, 1125, 988, 1394, 1126, 989}], Line3DBox[{991, 1266, 1450, 990, 1267, 1451, 992, 1268, 1452, 993, 679, 994, 1395, 1127, 995, 1498, 1165, 1197, 1166, 996, 1500, 1168, 1214, 1169, 1517, 1314, 997, 1170, 1202, 1171, 1501, 998, 1269, 1453, 999, 1270, 1454, 1000, 685, 1001, 1396, 1128, 1002, 1397, 1129, 1003, 1398, 1130, 1004}], Line3DBox[{1006, 1271, 1455, 1005, 1272, 1456, 1007, 1273, 1457, 1008, 1274, 1458, 1009, 693, 1010, 1502, 1172, 1173, 1011, 1503, 1174, 1175, 1511, 1012, 1176, 1177, 1504, 1013, 1275, 1459, 1014, 1276, 1460, 1015, 1277, 1461, 1016, 699, 1017, 1399, 1131, 1018, 1400, 1132, 1019}], Line3DBox[{1021, 1278, 1462, 1020, 1279, 1463, 1022, 1280, 1464, 1023, 1281, 1465, 1024, 1282, 1466, 1025, 707, 1026, 1401, 1283, 1467, 1027, 1284, 1468, 1028, 1285, 1469, 1029, 1286, 1470, 1030, 1287, 1471, 1031, 1288, 1472, 1032, 715, 1033, 1402, 1133, 1034}], Line3DBox[{1048, 1180, 788, 1047, 1486, 1300, 1046, 1485, 1299, 1045, 1484, 1298, 1044, 1483, 1297, 1043, 1482, 1296, 1042, 1481, 1295, 1041, 1480, 1479, 1294, 1040, 1478, 1293, 1039, 1477, 1292, 1038, 1476, 1291, 1037, 1475, 1290, 1036, 1474, 1289, 1035, 1312, 1473, 1178, 1179}]}, {GrayLevel[0.2], Line3DBox[{332, 544, 1315, 333, 558, 361, 1408, 573, 376, 1413, 588, 391, 1420, 603, 406, 1429, 615, 418, 1437, 626, 1356, 429, 637, 1370, 444, 1447, 651, 458, 1449, 664, 472, 1451, 677, 485, 1456, 690, 500, 1463, 703, 515, 1474, 718, 530}], Line3DBox[{334, 545, 1316, 335, 559, 1327, 362, 574, 377, 1414, 589, 392, 1421, 604, 407, 1430, 616, 419, 1438, 627, 1357, 430, 638, 1371, 445, 652, 1381, 459, 665, 473, 1452, 678, 486, 1457, 691, 501, 1464, 704, 516, 1475, 719, 531}], Line3DBox[{336, 546, 1317, 337, 560, 1328, 363, 575, 1338, 378, 590, 393, 1422, 605, 408, 1431, 748, 749, 795, 1506, 750, 751, 1358, 431, 639, 1372, 446, 653, 1382, 460, 666, 1389, 474, 679, 487, 1458, 692, 502, 1465, 705, 517, 1476, 720, 532}], Line3DBox[{338, 547, 1318, 339, 561, 1329, 364, 576, 1339, 379, 591, 1346, 394, 734, 735, 792, 1505, 736, 737, 796, 1507, 752, 753, 1359, 432, 640, 1373, 447, 654, 1383, 461, 667, 1390, 475, 680, 1395, 488, 693, 503, 1466, 706, 518, 1477, 721, 533}], Line3DBox[{340, 548, 1319, 341, 562, 1330, 365, 577, 1340, 380, 592, 1347, 395, 738, 1488, 739, 793, 740, 741, 797, 1508, 754, 755, 1360, 433, 641, 1374, 448, 766, 1494, 767, 462, 773, 1496, 774, 807, 776, 1498, 777, 489, 781, 1502, 782, 504, 707, 519, 1478, 722, 534}], Line3DBox[{342, 549, 1320, 344, 563, 1331, 366, 578, 1341, 381, 593, 1348, 396, 742, 1490, 744, 794, 745, 1491, 747, 798, 756, 758, 1361, 434, 761, 1493, 763, 818, 832, 833, 803, 1510, 768, 805, 770, 775, 1497, 771, 827, 778, 1500, 809, 779, 490, 783, 1503, 811, 785, 505, 708, 1401, 520, 1479, 723, 535}], Line3DBox[{346, 551, 1321, 347, 1406, 565, 368, 1410, 580, 383, 1416, 595, 398, 1423, 607, 410, 813, 1512, 618, 421, 1439, 759, 800, 629, 1362, 436, 764, 802, 643, 450, 769, 806, 1495, 656, 464, 830, 831, 824, 1499, 825, 669, 477, 780, 1501, 682, 492, 786, 1504, 695, 507, 1468, 710, 522, 1481, 725, 537}], Line3DBox[{348, 552, 1322, 349, 566, 1332, 369, 1411, 581, 384, 1417, 596, 399, 1424, 608, 411, 1432, 619, 422, 1440, 760, 630, 1363, 437, 765, 644, 1375, 451, 772, 657, 465, 823, 1514, 670, 478, 1453, 683, 493, 1459, 696, 508, 1469, 711, 523, 1482, 726, 538}], Line3DBox[{350, 553, 1323, 351, 567, 1333, 370, 582, 385, 1418, 597, 400, 1425, 609, 412, 1433, 620, 423, 1441, 631, 1364, 438, 645, 1376, 452, 658, 1384, 466, 671, 479, 1454, 684, 494, 1460, 697, 509, 1470, 712, 524, 1483, 727, 539}], Line3DBox[{352, 554, 1324, 353, 568, 1334, 371, 583, 1342, 386, 598, 401, 1426, 610, 413, 1434, 621, 424, 1442, 632, 1365, 439, 646, 1377, 453, 659, 1385, 467, 672, 1391, 480, 685, 495, 1461, 698, 510, 1471, 713, 525, 1484, 728, 540}], Line3DBox[{354, 555, 1325, 355, 569, 1335, 372, 584, 1343, 387, 599, 1349, 402, 1427, 611, 414, 1435, 622, 425, 1443, 633, 1366, 440, 647, 1378, 454, 660, 1386, 468, 673, 1392, 481, 686, 1396, 496, 699, 511, 1472, 714, 526, 1485, 729, 541}], Line3DBox[{356, 556, 1326, 357, 570, 1336, 373, 585, 1344, 388, 600, 1350, 403, 612, 1352, 415, 623, 426, 1444, 634, 1367, 441, 648, 1379, 455, 661, 1387, 469, 674, 1393, 482, 687, 1397, 497, 700, 1399, 512, 715, 527, 1486, 730, 542}], Line3DBox[{358, 732, 1487, 733, 359, 571, 1337, 374, 586, 1345, 389, 601, 1351, 404, 613, 1353, 416, 624, 1354, 427, 635, 1368, 1369, 442, 649, 1380, 456, 662, 1388, 470, 675, 1394, 483, 688, 1398, 498, 701, 1400, 513, 716, 1402, 528, 788, 789, 790}], Line3DBox[{529, 717, 787, 1473, 514, 702, 1462, 499, 689, 1455, 484, 676, 1450, 471, 663, 1448, 457, 650, 1446, 443, 636, 1445, 428, 1355, 625, 1436, 417, 614, 1428, 405, 602, 1419, 390, 587, 1412, 375, 572, 1407, 360, 557, 1404, 331, 543, 731, 791}], Line3DBox[{536, 724, 1480, 521, 709, 1467, 506, 694, 812, 1511, 784, 491, 681, 810, 1517, 835, 834, 476, 668, 829, 1516, 828, 808, 815, 822, 814, 463, 655, 826, 1515, 816, 804, 820, 821, 819, 449, 642, 1492, 801, 762, 435, 628, 799, 1509, 757, 420, 617, 817, 1513, 746, 409, 606, 1489, 743, 397, 594, 1415, 382, 579, 1409, 367, 564, 1405, 345, 550, 1403, 343}]}, {}, {}}}, VertexNormals->CompressedData[" 1:eJx0u3c8V3/4/08aSEZGw1ZCRREhdDVktJQGGRVRRKXMSoUyoiJRmaHskRky ntbL3nvP7NdAJFG+55y3z+d7+/Xr6x+387xdt8d5XPfzfD3PdT3POcLGd7RN V9HR0VHW0NExYP95KYwDztZFkLigq2PMXoYehUesnhShQY573NHhYyVg3dkV se94GepBC5ycrDQ4F5nqds6WBGcD17A5tJYiMdZq27S1NLjatbdrtRUJppij 51eHk9BNXYnlUi4aMI9sSVt+XgwC1gyjXqRiJJXbaPRYmQbzO1Tuqlvkw8Gj dIduRBei84Xi1bz2NLjVEpVo0pQMIXu78tU7EGJhj2d2TqKBBJ1iZCRpT36F 93k45ZSP/jv+33j0d7yu+xEfTB+NHs4HXN+LL60K1y/+pVeE+UGZuyNHcD83 qlQIP9/QhznMP0pfNfgD988hx/oH9/9DvTYIyxfJnLrCiufrLzRhg+cbknfu AsYHHZO7SPDx91In+HyCmDGMJ9KSFyV4Pik0IHhS4Yraz4BC6NK2Sdq5oQzV nxrbS9tJA8tulrXMa0ogVESnPrOxDD1bUySpxEyDxN3+sGVVKWy+EPdBob8M neAwEGSYpUI5B0Urf7AULN6/3v6LrgztPOl01xQb9+5nrtj8hQTSJieULsuQ EIPdN30nHhrwXr1bHepaCIqPL8wvNhWh7zUynRO6NFg70hFIHU4Dz1dnaFPZ Bcjx3ceFwjAa7JohqZIK9uSnFbNb1eYj9N8xDd75ZXdg8cjx7B8qHr+Jh5GI 54ps7ML00c/U1YR+t2ZCB66v9GlbO+YHnQ7tOoD7GXI/RPh5slB/BPOPWJfp RHH/Rft47uH+V/JFf+d7uGGAFeODDOM5CT77BG4SfB6ox17AeKKfbhwEz6os Y4Kn9OTly5XqBRC/e97R1YiEKMFRj25qYvwv0Yu6QDFUs4anTYWVIsOAN0e0 hLB8rTtAnbcUqBanWzn3lKGDvbl5pxap0PLkjQMnfzmonLecqUwqRbSdTflH x6lglunn9ICpHIwPrb3BPVmCMujohbb+oYJzSSrVV7sEjJJz+hh3FaGFpzUx G1VpYJ1R2ss+lgmnPJp1FKfzEe3Nzif9H2hw/hnzjnfVkN9zlfYpICIX/XdM g/vDopIcY5lokmvqIh7PsenwYzy+ZpL2G9NHKk5GhD6blgyhX9zr7o35QabO L67jfj59OCmI+xE742GB+UeLo32E/8l4K4T7Vz9xXg7LF/08HEnkKz++Nx/P d4UP+pvPGiZNdYwnCqm2e4Tz7DQ0eozznGeP6kh6kAevl1FL2ZFCFGkXCLsf 00Ao4Hp42q4iEDx0IHI8qAjJyW5z2XKBBjR1QfXrkySIthEdGNIuRp87HzQn iNGg/U0zRUW9AjTVlZy39xehtlMeRzUYaLBezjHOuaASbEfMdS+UFaDotqHp ilXYdT++J8hhqQx4DU77M8l8RYJnO15sOUqDCzHPudb75sHx1VPXHDRTUc5x 1bzN6TQweHj0st0M5H8ijz+UsUxE/x3/bzz6O35FH/2tv+IH/e0n+mNBE+Yf +b9d44L7/5LWrIr7r4t+rozli259uEXk2yJLI/INmdKLw/igoHkmgs/LsQZn nI902p5xjCeSTQsjeH7TNyJ4Km54++YkTw68sh9cv4kuHRXljh9uyaKBnabV +QtmhXDUIOGkkkIG0rf3OnPnHQ2OLmp3mG0pBYqX4Wb+NRmIoWL152EzbB1b 6zjjwFEF8OcombI6Fdm7G56YlqaB46RtNV1ELbTIdrEbikSil/5z3wux39f5 8aPb527UAB+vEY/QpseAbFRKY7fTgOL2dlWxTDE8jSjw4077DE5Psj7deUMD uRNyOrr9ew6+re72znn4ZeWYBoHaazZi8ajAeScR/2FWhIhf0Ud/65/ma87D /CCB/Q4cuJ/X0t2zuB9RFW+W+xxVSPen9STuv8t0ThP37/QqphbLFzVfTCTy fbHakchXIva0IsYHrRo9cQrn8+S3w1mcj72Igg3GE60KEGXBeQrvP38E51nH asLmsyUHBLZ3HBA4eQt07lxemGigQanbkhM3YxHsuvvScr3qC7CrOyjqmkiD cbWYTIvxMnBrTr4bQQ2DboWZBkULGoSTqsw6umqhUYPXjcE8BUzmmq43/cLW 5633EmycGuHFrRL+G4cKQK991wjNgAqFGwMz6JobgdyUnMyoVwUXthhf16ij wHJNQOR8XwUEqOUZ9bY1QY+XS7jcVwqkJb+wqhtUya+RvX5Btb915ZgCWhZd aVg82sioRsRnj9aF4fFdpWa5mD6S+FHwGdc/mGhgiusHWHmEYn4Q+joggPtB /YfGcD+v2rxtMf/ojXOsK+7/mBMT4Z/VZH0ili9KMP1B5LtGy7oRz1doL9Ue 44Oer2kj+AQce03wWeGJ/uYZvLc+/MpOBKG27+46kbKhle3ZuW0BNGhTuXTC XJAEfGe58ty7CoD5dxX7BXUa3JC49dI3tBqe2vIGZvmUwgh95NOJBCpspu+Q Vx5qBFU7AeYjKbUQuzbp9cf3FOCI67n+RqANOs7+fPZwuBmEAy86Kn6fhH6p u5dOrGoHkfiB67+oXRBxKinm+K4JaN4xeK9hth4+3snc8pQ0AKfWFWv6KI5D NPdSQ9MuiXwP47zHh4uGVo7HIUQBOWDx6EPcISL+6b2tRPxAaPhFTB8tl928 gesbFUrF4vpUzcqrmB/Ee7rKFffjUGv1CPej2CErhPlHj/LLN+D+Far3++P+ vdcfeIrli7iq3Yl87TQUnuH5HuNXPI/xQeA9kIvzuVB3i+Bzygd8MZ5o17oK gqdxawHBc98rJdWp1mKwVnogmlBdDq53OlJbl6nAZRYaf76uEgIGm4tiqmvB Xrf+/MI5KkT9yuN5urYRMsP4MsX3NEFGVt+vHzspIB3kV8HzoA2c5C9zFHxu gy8GU5V9WpPwaS2vzrFz3TAnOv/4fWw3HCFVOat0j8Hd3JMbpu16YDLSPjVg ywCgWoODaz6PgAe9LYkhqAViQnqYv9z7BpxV1yoYBUagWunJ9dAwtfz//o9A zcr/W7QH9Vg8urHZjQmPnzkwVYbHh6ObrJg+6qE7QegX+gsT+hVPg49jfhCX z3oX3I9VgP0z3M/+EI6vmH9UJ1bDiftfHZVfg/s/26mzAcsXqasuEPkWS+1Z wvP9cVjiI8YHiTKoF+N8GrIPXcD5UGM9JTGeKG5+9w6cZ2lnVhrO88GM2cOd byvA59gJ1caOeogJsB+4vY8KC9HNLFq0engs8DiqdxnTVwjqyJemwDd7nx3y 4q3AsDbwTbJpG3gvCjL1RU7CsfzzlpqLXTC0QylWOKATTDVKu766jgNpUOsZ 15N+mD1v2yUp2QPOp/ddTpQfhWr7wme9BwbAwX8+mvd1H9RHHV/Y0DMMrYs5 s9lvO8HVIrh6sXYASsdO2cquHQV0itLf26+dH6gy4oDP5+Xc1634fC5vaab/ +rYTrfpZVonH3zoydQ+Pv3vWBNdHkUdUYnB9hvEHhD7pspQL5gd982zsxv20 S2tewf04Zm28iflHgXR5hP/QgSPduP+0k6dFsHxRfOV+PzxfXaUOIt8VPuhv PpbaEjYYT9Qn8pjgyVbcSPAUJ18z0vOug7dGuyw15JuggePjWTtHCjT+zNBw UGuGAFGVRwpZLbDLLpgxVocMbhJqH+M/dABTmFR4dnsb1JTfX5SsnIDrPYfr xQ73gbN6j/OO1R0wfPFk3P35MWhty9i8aQrjtTApulTeDhV2KvY3LEdBevjK 9yNPB6FAIN/imVUb+ItLhzhqj8Iug+Ry14JuyJb7drP5USscUJifI2lMQPh0 1d26wVP5XX0Dp/H1+b9jCvBx1LRg8UgXTprh8etP0GbweOfwGzOYPvIBA0tc v+ZxLaH/ZeMsD+YHtX9lFMP9ML057oD7qd65pRrzj35JjLng/renXozH/Qfb Xw7B8kX79ypF4Pnefxy9hOfrmttzDuODTveMPsT5qPL3rcX5pLrb62E8UbjS XYLnrsOs2jjP0CDpD9vONMKlLIaF95FN0Lnq2Kns9RRwGt7eGF/SClnyKZUb BFrAVmPhKfPiJFDekzm9UBd0MQvn7ipogZCxd9zd6RNQmRC7hk+rH24xCjVT fzUDmeWBuI/NOJwzPnfwzoZBSGAX3qVu0Ai+7TJc3qVjoMySLWDRMwA3A9b8 kC2vAhmn3JmGD+Nw0pS6esevDuAZIDPrchXCvh8hlcFUMtxS1D5yZEwnP/ib mDBeb4yE39LF6w2xQUYuLB7Z2Mwz4vGvfU6W4fE2thQhTB8VSTjM4voZ1FPT uL7ckWoVzA9yUzAi/FBuPif81IjzMGD+UUiuZgvu/+zhIQnc/xsNJVYsX+Tm KJGH5zsf2M2D59vNs7oK44MCbKOqcD6JBw664ny2PZP2x3gig+ifBM/XAp9P 4zzryQllxuzN0Hvi1NZj8Y2g9lihZniCDGODx69pCrVDWEwviwNnE3g4N79Y w04G2UvnXg/pdMOZbvEcRrNGCHaTNPu6exJuXLsR8nBVP4Ql/Fae3VMPRrcT dic8mYB7bOE7aJR+2H5Zhld3ezmkBx3hqrk/gfX1+i9uPO4DX9nYPebOWbC6 MY12KHkSgoUm2TLGmmFaN+vsWM59lGtmz651kArPJdixenlPfuTPiDS8fv7v GOsHX78Sw+JRt9nB03j8nJsRCx6/oo/+1j/8nBH3g+ZH3Qg/MWc/EH6q4p2C MP/o1a9wFdz/nGm2JO4/2fCdF5YvyrDmyMXzXZh4Zo7nu3T6mAHGB41vqtyA 86HvlHqF82kddEMYT0TpFOLFeTrudarFeWoIJelSppvBbXdtHXRh9/kHDK68 zBRQCf7Osv1KO7D01O59cKUevr8+VMN1hwynKrdfDwrsgiMvPrCf8qiBjeqZ vdzj2HWcfip8k9wD6c1F55/fLAP6D5+E4hImwfA1d2oufy8whc6+6N+bC1v0 7lQ0MpBh32pfXWmNTqg/Z1ugR+cLjXXuh5Z3UYDhWEnZ7931sFBQlg0mqeh8 lF6SaD91pR/c8//rBz//CmzE4tEDh6ksPF5KeToBj++cen4B00ezOwYI/Tiv /Ydx/XjX3V8wP6hyqMcL93PaUK8c90MLohPE/COrBK0LuP8gzhPCuP9HFfFG WL6I6VkmB55vQC/qw/P9VSe5HuODFH1XSeN8tl8OJPj0lr85g/FEeRZv63Ge D2wM3HCefL80aryZWiBPmTPfRa8G7tzP3a18loLNX4BzmW3gcNxiYWJrFfye GdA3nSKDN2fIICOlAwz3lagaVJbCzdsqc7qpZKz+r3vm+qcTbouklBzmKACd K29fCuWS4UTbzpTaiQ4QURhakyScALeHlOXTZSngI910f715CziszX/LJhSI Hpl1fNglSoXu6kbHZz/L4d0tUZanxllo8fNpwQ/K/+/9jZV49Hf8ij76W99t p0I65gcFdSsTfjwkffbjfmjXnj3F/KOonC7C/65Xg4T/0MnSfixfdOgi9zE8 X6H3H4l8xR7dUsH4oGqOAoJPrp2yAc5n6DoqxXgiBn4phPPUpmuTxHm68tXR PXNphqxSc4mw0XKYuLou+HEcBfK/jhbOWLXCQFlTmEkvCUxV9B+K2FMgS/Ba LFNOG+S6PYxy3lwIVdWcIXNmFDhjTbo4UtsGx9rHrJIYMqCjr9db/S0FKnRu VW+ltcCGt2wXRVLfQN/JMuOjrFQY06cUf7jUAHvuxUWqZEejb/ZC1TwlVEix mtS//6QYdicy//RUzUYqR9Jsyfb/7/062SlNCywebXn1eh6PZ7zJR8Sv6KO/ 9enc+SowPyhtrS3hp3uz8TXcD/OIvQ7mHzG9qCP8Jx/OIfw3ajrGYPmibMa3 RL711w8T+T4QvoPzQc6HvxF8BK3uEnzajz/8/dSlGXFL9BM8t5n6ETwnNL3n EvcWQ+VXIV9GrzJUwaHGtZYH66N5bfcZbyqCl+WrzOQVyhCb9Myhe1jfuhKP /o5XeyazHYtHX5fMiPgc1YeH8fhKi1r2s9saQDelNLlZNxlI10e17xdTQcJw dv+98BY4aZ6xLbq5AVybNrFdLSGD/WRehcG5GjA02xUWH18IfWQlVacWKixN 3l6z72gT+Cv6cd7j7ABZeaYHZxonYaNbpvxVpSyQv9CroxpeAUU/WxhfytKg oNbyLce9Ajham2x9V7EPdm6rObIcNgn77Tjtjv1qhPEy5qyzvOWwZmhIizpH AXNQY+H+0AaOlh4K26pbYTJClEnOYRK+ZVIf9E93gpqRgcfOoW5Q331XV01y HNh0VZu2YetqsPDWpNo/A1B2ZONol+MoJN0udFZ4RoLo9Hu6e84Pg+102kSa yij84a0Lw8ZR3KuXOvi45qGv4/j4ig76W2c65IYKmbMafpLP3FU6OAyNVarV nAMjoOmjfRMbR1tEA+7g48PbLSrxca4GhmOarT3IUrakImHvIFxevd1GKWUY TgfRB/xeOwB9qhkSJNduoJ+I8DRiGgVGDlpS+3A9TFj+QYsX+uD6Ra0vz99N gGpccSU2jlYbCeXi406716Xh45Q0JrFQ/XowPhMRdKu4CjqpTMb0O6iQfj00 GNNHnpZnxXD9UJTugetndM4L2W8agCcJnnlSZfVwbyLwvWLWOCgzf10WGeqC sG++C0F7a2H/Gf6W/KpJkJKecU9Q6AXOpS1cVqPZcL37s/CNNWSAihTAzot0 n2e8x8/7urn7Mn7exnujBvSnKuHe0VekEdZXYORImjh5hgbkKyMW2Dji6qku wcc5Vy2N4+PbfLXKXha1Q1l39vT9YTmYbt3rxutCgfNuszuU2ovho55sm4Rd OtqRxDF204UGJyrP78fGUYRpfSs+3lBgP4qPG8bFeH1c1wpCA7dkHvyqAEG5 UGbPCxS46FesUtXaDAoJ1XLmfFXw5SQj61esziz1lPTA4lGZ4CIR/yRVZT0e 78oifXmdewt6HbMcR3pbBhvjxVOdXmK/06VdSmHmxcC3W3Yq7FAZ4lc3unxm Ew00jP/IYONoSO4OMT4on0yMXzMc3paN1bWqhRK6UtdJoLP8MoVuAxWQEsP5 xc564KNdLcb/m1VUH3ibSoGZHWzK1Ku5ID96O55lQytw+r7/9K4ZW0/YFvKc 9rQAi0PYOQFKA9xYBN+CFjJs16t4eQva4bfVvQL8P8v+B0vtqydBsMopprOk BerKYoSn6/vARV3KjsdrHDw92xZb2orAZjD/YqDsEOxjKO4JER+Huj6ZoUwT 1XyPqLZVZynDINcVzfD89CiUj8QEpuxsQsqRjvFdLUNw3Tu4qEluFDaqiu/Q Uzien7N1nA6PZxe6vwaPfyQaJ+awtx3J9fU7FuQMgcT2jMF1W0bgp3gTl4Ba NzwkXRIPSu+BNXvNiiRfj0EUA9/l/VEn8h1Td+iw8PWvHE/Cy4kq/zZsXcqe uT6vFt8KuboK4owJZGC1id6G6SDH177bcZ1lTQ2E60xm1ZbravRDx0J8QLtJ Kdj+7I9avzABl9XWlxlrauVLnyhXUO6vXDnG1s9lA/vvLm0gERNFqe2NgwSv g+nMmRQYW8b/tPJniP/3Dv53TAOu+zxBnywbsfue8eeihGi0m5Vh44ZgKqx7 MfI8e1g9f4f4o7uPozJR+lcP4/luGmw4nGWEzR8wNXUm5s/4Q88UfP70P9gt j81DZLZQvx+fhy9ubmPD56GFgWZYYF0RvHG/8Pmpdhk6b7LJxoSPBmVBkjHY OFJWESDGeT7WWOPjrpRVn7D1E+2fP0ysny5sFsT6eW9mvtg9rxCsfrnZbdjY CAePvUxQvEqFneeHfaagBU58jxi5dKcCDrIxJ3Q5U+BDmrQ3No5UXw0R4/tW XSDG87QVb6qX1KCjml3CUJ4Num7HL76ZpYKQ+A/BSM0i2HDMRMJQsgz19l/p 5d9GA70x4UdrpovQ22f64392lyFR68CP/ZjPV7cCf1zlKwJoz6/b+7wLvpx6 PhngTgZKrZy67JUCJGCibz3SVwS1wZWW5sY0yPGR5NFd1wJpY2YyHifK4UJO lYh2EAXmZlwHrZObUXEnx5QwXSUsyzc5331DAQ6z8RfYeaG7mzyGn3dxeA1x 3rWzGeyYT/TwahXh09N0gvApeHKr/v4opXydci0DfL79dzwJaTFDXpm360Cb /5QEj8AQJDOIrK66NQavLqqTsHFkmsImho8vqh+jx8fV5LnUgjUKkSajj2Xc 9wGwmH7AkygyAQZ73gli47DEc/oWPr7rk/cmfJzz16szPsbH8zcJfP4owTu4 cjwB3NJ5adg8RxUROrP4PL8adGk7Ps+3Vg5ze+QVIvNX32zw68g/WROLX8er 104eH0g7nX+iANS6mBpXjqmQqvxoFOMDB8x1aDif3yLLTjifmxPMHBhPNPdV aB/Oc11+/Dac5wafbjFs/UctCm1f8fX/2bydH77+H1qo3rBtqAu9KKb7ga// yglNDfj6Hz3EvxDC0IqEbnuabTQjQeD8sdhtrylg7+wpZMRXhCaM7tbi1/de 7Z4J/PquLUk8Ur1OOz/axInck9IFVmt5GtQ6yPDs9OJ+bF7Bq0GT7fi8Ittd vITPq2Ijxl/7rhTAxgOtNvh8mPU4dAefD1zCVVtzYrXyz++hK/nlVrRyTIOe 0+vv/W4pBNLXcamXC31wZEqVlao/CfmLHOlVVm1osrgn5tT1RiBJrFGsO0sG Q7eKMbf8Vnho+rhkaLkfznHlZ+gFj8E26fCUpOtY3zV6eUe35wDwKCTYV90f h4vG7675GA6gmO7vU/VlrUAzpnlb6Y6Bm4X+YVa2fkRON5KbkW2CdwptrgFz 47BgbLccuiEP1AovJQTui4KBB13XzxbT4O2fc737ZvNBbdhyi/7FTLB0uizq EU6D5MSj2SWZxeCQHPRT/GsZciR5HHjCSgMvIZXWZxIk+JA3PmHzvRTl7T0C oYw04I0ou/DDhQT7vObGlrrLkLeApFPBAhUozibPOe6RIBZ9KRTkLkXJjLXR /mw06GTPee/zqhQY9bu0is6XIbXfC2UXMc6f9boenX5UAhW+tDv+aSUIrjx4 zyNBgwvTJU4RJ0tB79mO6MEtpejjGWU9tIYGPC1njcUmC6Eo5PNZrsUiVEan PNh5jgZMOcmUuu0l0L7KSapfqwRd7xJNr9xLAzH1ghmNdTkQUye0bkGxEBlZ VvsddaeBqVUbfY0qAo2Xgat3ahWhns3yb8pu0WCrgPpijnUipHYviG5KRqgq K8z9fBoN6OjoPvyrbp894fU58WYKHOVM114fVoCEQwqS7KKJ+IP/6qcCNGQY cq0T0XLoDKFv8CCA0L9c5TOB6aCzrlaETgr1EKGTacPKrLkuB4UkzK7F/Ycx PCb8J8QFiGP+kWLjEcJ/6/owX9y/pkjCXYwP+tCjT/DZlpA6gPMR0xxewvgg t2Jegg9/w4s0nI/ItQxfjD86knCF4E/6+ekdzv+dVoEzxh+FGm0j+JtKSBP8 y5Waw7Hri7IVfxfg13fj+fIo/PqWO3n4YNcXFcwLnsGvb+OFi+X49b1j7ziB zR80NniCmD8WbywP4vOnGy3qYPMHxd0cIuZPozM3MX9yXEQrOlhL0M9aqdAW 9TJ0tEpVw4KdBnMVI0XY/ERnYs8R85PjzE5ifl7jCE3I7C8C6/K96gr3S5E7 eYQnV5QGLnHCScEmJDijaafYtr4M+SV+/zS7mgaqwfGhbw3KwC+1fhV3XykK XDOSrjZFBR9x/vpbnOXw20ngAmcNCY3I/ujo/04F0zrt7U2RpXC7XmDt0FAx uqTRLxm2hQZOqRbabCpF4MB4YtTOqRBNeP/gSbiM9Wt7BS9FUtJhT1LU5b3x +ShMb2uhUSwxH0T+9Vzb+3xqJBaPEm4NGeLxXu3aBXh8uHDIDUwftd/qH8H1 PwvLEfpbDxvvw/wgkfrkNbgfflk5ws/FKfYGzD+qO8BL+B94MkH4Dxfx9cXy RSdYFRnwfMOMrDPwfHcXKUVhfNDSuQyCz6FR9Uicj+urvFiMJ3px8yjB03eR fhPO061c0VogvxAik3xHf1sVIZMowaEgPRqccUiXnlosAcumvc9eixaj2vgT Z7P20cAilvfP2TXlcC9+fbz/+mLU9DR9PICDBo+Kk0BudSXE3VF4ON9UiBwT e+ZvM9BgddrGdcxZFeAhtPa7VE0+8v7TkbQLu2+mTrG9HE4lQdFXK83XSlmI yl65lteEBjvTKtoyv2XD5YP+6F5nCnqS62E9VUhwvoQ/147867n23dHUPiwe 2dS5EfG/2O4Q8Z//00cFf+kz/OcHuf7lJzY9Rgbzj3hMwgj/e5DHT9z/x8GG cSxflGkWTuQrUxA7geeb/G5pF8YHfYi/SPDZXuBO8Plxk9ER44kkok0Ino0B DYM4zwb1y/zj5AIQ8Tz04jFHBuLyOlewLpgGT2Rr55spJaDjQt/9dmMGCrE8 IOprS4NnITqMX+UqoN7uJddP0TTkoLrYIaJBA8WILfOHu6qBHKG2FPIuAUmq ZJz6LUgD+2T5HQ5StTARaXDXI/Ad6kniryZh/bjqdyOHGqwe3UAX+LbKxR8a QkSindVpIPD2+Z3hhgI4JTWfdjgtGU6fmf1s8N/6ZoI/1/b/67l2QKbwQywe aeaXEvEft/kS8Vbp0o6YPvINVCX0tx2jRuH6ym1s/JgfdM1Q8B7up68gnvAT d71wCfOPllalL+L++/uMCP8ZvRlcWL7oRvx+Il/FUAMiX54zzOMYH6TEe5Pg 8/txK8En4mIsA8YTcY83EjyfHpYqxHkqPFtzle5+ISS7h3DciHoOCXpcx+JT aZC2NsbJ9l4pHJN/wnhgKhj2egZ7ZT+iwf1Pnv3hqtUQceyu9G2hBGz9mBNn wdZJt3qOZI9f9TAprMLRvJAFNpfFJCkpVJzPjX89j86RmZFNSSlFJr+O39p9 rBnc1rh1aDVQYFab3uumcQNiDeOj2TvWAqfMpDxqpcDtNJWu3Z8aUbH8hutN t0tATXu3B1mKCpwPlBKw8yIHn3Ub8fOe/JhAnHf8afA3zCf6EsZK+KT+/Er4 XO1yyw7LC9H/oBF5aW7meIHndf7tJl2MA1Ll7SY4RKrpERw2U+iFFrDz9S0d /L3VsADc+Vls27VpMH9av/ZRUSXI5bMM6e0gAWPebHBVGxVYv1Em2aQbgDP5 gmhgYhUEtZ9Qe8ZEcMj65/PiazbXjatq0GLVnYaRTYNwLPtd7Q7tcQjel8z9 4FQrOhxzyM95vAc8e1blNi6Pw2Rp3MHGx23o07PNudQ3bYCWtA36zk/C2ONQ 2XTmFqQsvsHZRawRPmfSTeo1kQF5C3dhfpCL4ycx3E/LttcauB9G9/5yzD/S FNYg/PsfORiC+7fTrd+B5YsOndpM5Bt2sdQGz1dMJ3L/2ZkKyEgc7F7NVgsR O1x/tFlQ4fvrgRM9g/VwPnH+qu7hRuAO61c5g/VNZTkLlHKHFjBgefupmakV ZnTNz+1gw/rifaPnDOY6IIKlSN5FqROuWlwvads+AV8sVd1NqrrBI7js9ufy Xpg7dzlPlWsMDDTnAsxed2F1zmqdI4sD0IzCUzkDRmD6nXPtjXVN0OQ4Eqfa 9Q12T/QahZ8bwTlf/tfz4rsZU51YPGpp8Y/F47dKWF/F43223gvB9FFE/v2L uP707HIKrn+EY/QJ5gdNmIdY4X6O1S/m436az44cw/yjHsmXB3D/Kd92l+H+ v/p/7sfyRb8HjaPwfDsyAy7g+bJpo6MYH3RbMMoI5yOBaAdxPkp2lrsxnmi3 lHEPzvNgKeM8zpPHr1jQ3bIeqoebNPaFNEGU4McMzgsUEN5cMzrW1wylbux7 Pvq2wptIbWo1Oxm0izjPUdo6IJJWCdZ3O+CwWLdqveEERNeF6xs97wWpH3R+ OdQu+BAiwNdoNgZDPjSvy2X9kLMcGU7H0ws1fUheMWsE+PQfDy+p9YNbn4+f pHY/HDeRCz8og/N06vrXc2GfR1V0r6fbkLYOy+T3vYNAtRcyMb03CsBfNILp oDBHXkLnoUZoGK6jqHffEzsvmioJicDPOyLnooCfd/q5ji7mE4UxThI+b3IO ET6XLnOfwfJCTfwGh/C86Cg2x/C87rn6fcM4oKK0JwQH4dAWgkPJ+bM4N/TC qJvglpSaQnAzTvWULspqAq5T7yosb7YAS3Wg26UnZPDa9OukvVY77Dm3ycz6 YhssCxxfe0V2EpofqNA9k+oByaCC7APB7dC783K5/OdxsJbvPGta3Q9VbzYL vye3w+Ytb6Kq5MfAJbfoTZrYIDBXt6MrGu1wlvfT6wPXRsHT3JsLXAegopjX c/ORNphpoJ5tFRjD5+f1fz3/1an0B8PpDuTueVlQKLQV4hkkh1/9mgD6iXSf 6ukBdD+mpP87P/Z7byzferptFFr3nfLFzou2MpYV4Oc9pOThS5zXhqaF+UQ9 FZIiuM9FqbBo3KefhNXiU6kexGVS/xXPS1LlQQWeVzGnwgmMA7KZu01weNsd RHCQMx4/gHFDnaQn5Tg3aa29rji3W7bObIIKrfDimFjh8FQzzCv9bEgUJEN2 77vYAtdOiN+sNhkd1AKZa8jkW+snQU8+7X5oQy/k0m02i9Nswe7b8j6OM+MQ y7nvNqf0AOw+v7WuPqkJ+D+LkGOEx+FD5olu2z8Yt/323mtT66FDZq/GUb5x oKc7pII/zw1deZ47uvI8l8pu/rRavQ39kj/A1stdAIcuRYkyPcf6aHoL+pKM fvTuQ17PWtkKiLvKnhD+cgLW8VTi+shq8hyh/9qlSx3XLyLFWWJ+kJRZC+GH 0YKZgvuR/65jg/lHshv2m+P+51b7vcb9B1d7fcTyRRKFJ8h4vu6n9lHxfL9s WcuI8UFdDwWKcD5cbqpNOJ9jCgNvBj60wTf+UGomtm61l+/4pCpJhgpLcx7z U12QR+ltVfBvhG98NV+WzCbh0YmlnSExvWBb+Uf66boG0L/aRPUsmQAmYZ2Y pgf9MCBrqxOqVg1sSaYBM04TwH1RbHijSz/Q7qoz5WcUQ941Aan78xNwaVT/ W/Z8N5hRNiprbEgF+1B9m7m7ZCB17Nz5wawRLDjqjz4Q9sR48HznjaTCKjo6 Dfx57seV57leK89zGTklDmHxKNPb4wgev9m2gobHb6IfHcf0kcXzQSVc/1Ht zD1c32xV2TfMDxrRekj4WfX7IuFniWNLNOYfVVDUdHH/unb8gbh/dy+HHVi+ SIOaL4Pn+6dgmYbn28dkwI7xQRs8K9pwPhd2i2XhfC7XZb7AeKJ9Mu40nOev r08icZ4Slhzjb2fa4LaSqnL6nXrotWJmJz0lwx7BQ/5zNZ1A//Lx7H3dWgjY 8nHtGAsZdvZxt0yy98Btuj3Cz7C6u/jBS0/DUux+euVZ83HmXghqNhRFJUXA rnmFn7tnErzJh1lUs7vhIlXA3PRiGmxqVNK48ZgMnzL5tgy1tAH7qhOSdWHW 6IeJXsfrVApkSTF2iJtXA/0+Ixaz/DSkc0m/P3wrUTdy4c9zu//qg056bqVi 8chMLX49Hj8vI9GHx5stXcX1Uep1F3Fcvzv/JKEfy5y7AfODRnc8M8P9WO/q Vcf9hK/SasH8I1a6K4T/L6HihP9HTu0NWL7oxNEZIt9pcX0vPF9xFavXGB+k HHl9DueT4Om4DueTTn02gvFE5UdeEjxTxz0InrrxUwrnjNvg07VNUxnXqsDx clOjyW8y/GRxec5m1AHvFRNnevrKwDi+Pde5GIuP21R0LbATcv39igzfF4H9 uT5drhwy3I7+pKt1vxMeCjol5fBngjNlfZwTpqNJ+Ta55Wg7vOr1XGNzIwDc gp931wRQYMGmpDhEsQkOO9qakpijkIT+DcfUR1h9RWGQsB8mgfe6Jxt+6Gcj FClgc+kywVkW339I/Wv/wXrnzE4sHu0rvUXEB5xiIuLn/tNHJ//SZwxtomB+ 0HuvgtW4ny7z7YSflqynlzD/aG79E8J/OUNHLO5/ufV9AZYvmu2vIfJ9GSZ3 Cc93W22CO8YHxR1bJvhkTirl4Xx8R5/vx3git0B3gidDpkYTzpObb8uNxP2t IPrIxT/1ZCnwWHgw0z+igKr+4wo38zawPv8jouR4EewSoZMtvUWBjybgbljR Bh3K61lJP7Ih73v8xlh3CnjWOzxOGmwFHUPvY9dmY8FXuugjRxsF6h/153Oq NIN+U+weyqwt2tK95fAjfayuu5bMsfd7Lcz/ktAaup+EhqvoSmd+U2Fsw7e+ /dyFcP/Qd9uI2Wz0MbFDW+AFwfk9vi9U/te+kAejLg2LR9RWDyL+qMQFIv5d iDU3po/4Y9pO4/qif0pIuL745fJczA8adYmSwv2sOmBN+HnoufsR5h8dm/cl /OcN0X/C/Uda6OL5ImTIRuS73BlF5LuuP7Uc44MU97F+xPkIJ4oRfBCr1ezP umL4mCci0lRQhmTV3inKb6DBjlK9HPE3JOCTsE5r/VqGYEadPvkXFZKiw4uq L5XC/JPpe0LTpcjTerTfaJEKtkK/ojiw+PNZo2bp5iRk92CsMJqbBpXe+4o9 yotgvSmpe7tFMZJv94u9h/V3qpkcrIJVOSD56dFwqWUhOil4+nmXCw2CPssX ZlknwnbNKOURLA0tuz8/01MJnvCvfTOqzWRB2s0UxLT0aZPYiwL0Y2/pNf4Y GnhnvOq665yP+jNjuT/wFaHy2OqvQfdo4LslYse0ejE6lileeKG/GFkcNeZe VqFBNB+dkLY8CTEz5ogqmJBQ5TrFk61baGAnz1e6JpqEXr3zyfjuUIo+vuvy qGOkgYbT7VOXtpCQBlOlTgR3GdrrFVmTtY4GxnEv2HuYi2EhacnSLakUzd5Z K5gpTIPFTY7Tvf4kkMi3WyWmW4Y0/Th5Dy9TIUUgckHuXBnIqFD63wiXoShN zcYwChV4Lz09dMWuDKLeFuqo/SAhSabTjO8XqKC+y2BcUZoEPxzdTdezl6Ct N3NKDonTwDzi6/1DIgWQ6jRYoPmnEOVesWGOtaTBpQNtnYU3UyCrfFftxdsF KKrhUxb3f/tO2/B9p96/1tvZLxyHP1DS0Wg1c202K0JNAq0JPVif/mjx+iq/ vEJkmDbNk9RQiBIU+fYaX6VBu11a0o8AEhqjWH5X2F6CJPir9kyL0CD92Ge1 +fFSdMBsMWh6ioTqC+sfmtLRoCdJ6enPd6Wo4NTtxuMby1D/K+VVa+ep8KTX PrLgLAm1H/SZyfEpQ/GpS4ZuGJ8Dkkpvcl4WI8/YhxK/n5WhyzfXn/q8kQYU r4clxrRC0ExUna6aLUL3noTRTZ/D1qvQK8d/HyJBwNO5WNqOElSs99A7ZgcN 2mQ/D67eXA69TsxmDY9LEBvYvJ+gp8FUY0xkv1UF+K+tf5iUW4xMmocYXv+k wt7fV2d11pXDKtrCLwOM5/wgC9WNlwZNFtdPG38vAlG1l9In2hHa6LTH96op DZLnpl80UtOB8V3KUyZaLvLtrd8z8pngrIfvO8X+te90lnyUXXE4G5nLadpn v09DDQet6RrzaHAjYYmNdbkEOblrl8zdyEF/vJepp41o8PAedfbwpXK0VbBW VOh0IYrZd+5dFT8NvugbZEXElKP4KMGeluFiRBvN7mXC8gpbXhO++wTGy5vD bdmShCZaYqcjsPF1bRNPfIVISErxZJLb+lJ0avXLLU6cNDgiXvWENbkIJe19 u1oEm28dDdWZZpI0KE4+vu4LZyGcUJJCo4Nf0HuD7x1x/jRYGLC/8ViIBKYz W5pIXNnoy4+Bg0k38H0S0mVtiQoI5gt/5VaWjR7m7mFPkaOByvKxsVN01aAg 2bi3WSYLpTklHl3CzmsnOghJdVVQk7qZ/PZMOhLg0Olrwn4vqz1lnRM7SsGA MvC9xvozutlQvfszNp+Zs15L9VCywVuMPP77Thx676mxdqiS4GyM7zv5/LXv JL0zZ5q/pQANln95EsEbAxeL7HamYNclqfPofd3qCvRrz0Gb3RefozP3VW1B hwaJw9OfTSWq0RdX3fkUq2TE9kFZlSaK8cxXS5UhVyIf0L/RV52NsvyrKBsF aJDPvMchbUs5EvpwxbX7MUKbe/RZeaVoINcLe2JrSpCyvv+bFLFC1EH1E9il QQOdR7YCvAGFKG/gat7w80IUyuWfLm2C6cRf1m59UAg+0kkShlPGYHtSzE4p jQa2Eum1hWdLIV5IUeVinhU0WG44ehtbJxlieF9mxFZB6qsIfi8ODyBd39De iK1j4Yfmr8jw1UNWhu7cbZEQyNJzF66cJfZbzPF9p8q/9p2+3J34pVJUiv3O 64pGxRuBi82xmkuMCi2+F0JY39ejM0bIQ/p9Kbxc3eXlZ0wFqW0HDYG/AX2W jx5KY88A2jr2wZYsKiwFW9RlVNYiEm1LfIO5FzwX+W2ayEqD5Y6EheOTFcjt 8Bp3GZkw5Fd/h5FXmwaxDVcvaG4lIZPNpudIlYlI4UeHVrMzDYTsOSKGqAWI W0OMmccuFaXsNDV7GEGDx2UVxtUyJbCRT8G+JzIPxKSFJJ5jv4tOHTqja6yV 8HahlG3KohC6MhgX3q2lwf2TdXZq1+tBNUeu6uF4Ccxce9nj4/h/953cVvad Ylb2nRw7mO8dDatBL5QXWTTUB2CHseJj/eFxeIMcfsbpt6BreeuDcjd0QksY /8RuuUko2RQnMOvdgo6WWwq+U2qE5o4oyWeZZLDlv6DWnt2I1DL96/tcyiDQ z64jZB0V3mjU36ljq0XV7DaZp9tzwHJvZ0TXGBWqLlzZ+kG5DLkfWLIp8U8E +jGZ2z/MaRC61l4gOQdbx9V1z2ofDQAZ5245xySM55Y/hZfuVUDs0UatpcBq SDFcGvvhQYVdT6P62w7Ug8C0e5/863rYfGvXgHQTBcLYmp7wyjZDKatf6dTe Jvi6r4GvoJaMc7jyr32hPo+DO8pmGtHZL2Y0o6/f4Dn9AvNzuxG4oVS4L3u6 E6m9a7np7TMAkoxXS+J5R0GNkz96ObsT0SS+2q8z7wbdm6KXsi6Pw6O9400c p9vQPdeL+uonW2H0ccy24I+TsG4wTT3etxHlZ0ld2VhVD9KHT65ZZU0Bbtev 8aWS1WhCIEtWJ6Ic1p9x2DMbQIV2bvUKj/kStNn84XxiZyFcPPRCU/wQDQyH 9c7e5q4H8q/9/i5cTRD5Llg30J4CM1z3nOhYmmE3y6d1+x62QCDJNi7qFhmY PpGORZi0Q6Dsj+HeuTbY3Jl/rJ9lEi4951QZMe0GG3Wfg77+nRDjcXpKzHwc OIfIO6JTe6Ezmidfp7EHbJg9czsqR2H9W9/I1IJu2JUsmc2oMQDe2fobD5WO YP04XTe+LxT0177Q8h8r+T7vNlT8qu33pcJBeG5zTTBt8ygM+AZKhW3uR96b H/q/XDUArhW55YW1w/AgnUf1fnofahELztHY3AcpIcvRS8yjUGbqTAoT70Zc A+t4kiO6QEB//Ki0zDi4ay7QkxZbURrP6anLfm1wiLc23s9qEqZH+Z1HCxqQ le8nuRfXsH5wx2OFX7spIPvyT+bNmEo0P5UbWiNRB0nh9K67zlChedfHbSqG TTDzdpZXalsLiIj9oakHk8EjX4HjwNM2SG6ixpdNt8LLE54fde0mIXjpSoI0 rQv053n7lR61g/Vw6p0U1gm4HEi6oknfD0YPwtKbCjug5bzgeebnY8BgMWs7 oDYANevGwqTZu+BVYN434eOj/7v/07uy/xO2sv9Tqi65S36yAwlzOu9vamqH Srkroq8fT8DLRIbq3xUDyJyS1Xh4VSf4eSnlq8uOQju/l/eHtAFkRTG1CrnS BRt5X0qd7x+Bjt5NS5Oc/ajzUFPVa8EuKHp6dUcm/xgELNbE1PN1Ic1Sv8FP fh2QYq+yWYhhAu5Lc61uSW5BPY62e60WWyHh8iej+KZJWGR9e8exsh6NqyZm fR9pgm0LSmfOKFFAsUOaLma8Be7s33ErcLgZWHYzb98hTYaXdk9qr012wLk6 4ZtJpS2gafDZUFx8EpQbh8wnWXqhW8/O7+nmVqjqKz47STcB/MFWywt9/bD1 LJNVSU4LxAjSrVIlj0Eiz9QercUBCHFZ/XJ/eTNY+K3O0NMdw+cbsf8T/df+ j8CroOZVDO3IZtjzy7PDxXDo1oD5mCoFvLRv+4w/HEBH9yR+6UmshWMTPpFS SeNgv+VknNbBQTRonxnMrdkMsjEms6qHx8DwSR2bpOgACkk6KGQ+3grjZ18c uOswBmU6U1aHfvagsPuWHGX1bRD35qszdyQ2D6vbd64jtyOHe113Zna3AWLh 2V26ZRLyNGuUrjA2I5YzaVkRdi3AI/6cTuwOGRJ++Cycxvq1dJMYZkXxJuAo dHomuo8MV/kWnvsudMLsBxFxka1NoJo6HTF8fRJKG9ZLzdr2QlyRLHfMyUbo obXpQcgEnBlCL4Jj+8FnmmLmh617h2p6xF0YJ+D6mLqIwPEBqNyYSdXKqALt zv4pvTUT+H6OMr6fE/zXfo5R+ely3+VG9Dqh0CeA7yzyrShyyX1FhU9Pnyu1 be9FW0o0ZGnTX0GDi56nYS0ZyHf3OP7UwPh8+BUT9LQCEhgaHCYlJoAVXec1 ZRlAc0Kb/EKON0ChRf3eqthxKFOX0djH0of250X1KTM1A5lh2+9ooQlwPZy3 g6u7Exk9/GJovrkFPll6XWNkn4R5SY1eyzutyJRRjXu0vhlUbmn5ftxKhnsd uj5n2jC+Qk+zDOLq4ShERv50IkOMcmhTR0EnrL5I55mYUQcjl1Kqu+cnQeLK xx9CV3qg8fLL9PQH1bDd2XnhrtskaGY+O9Im3gdXoDIk71QZzAmuF9O/OAkC lcbOpfv6wPXxc+U16wqgPfcTk3vUJP47ZcH3Zzr/6he42SvcfA/VINW6OWU1 Sipq/iGtK8lOA15bU/KruXZUlhOUxVTrDplmgtWFdhSoWRJanxbRixZ3ap1K q/sKlidzNogMT0KdyJ3zDuN9iNd/dad5VRns/iKSXbhpElLPZWdFXutFs86K 95su1MH2J8y8LBsm4dBxo5Bxwy5Ee1DpFDXWAGG9PFYvnCfhEy02ak1uGzog 5GARXdMIVu0miVuw3+NF65z0bVfbIDcuT0x0qgqGQ/uu2MyRQbTbmJzwsgO0 3s6M+J2oAAXlmcLtUWTgfWwj+/VIF/Qr8TPcECVBPgO9DY89Gf64zHgPLHdB sYPbHNvzfDgSPk0974qNn/7D92yxE264UnYuOibB6w1Ft8/OkkFAOnbu4M9W uHFqX/+3YVdkKOzsldFDgY0URpM35tXQylvF+k4kHZFNRQcDtxB17F68z035 q89V5KP6ag2TEF+Olf/6n1kosjGpJOgKVlfXeCu8FGhGTcaJ6yxWfURdsrk/ cvSocHf0Qcc0aydyvL7zB8OPT6DH9ul3sgwFDK+U8Sz5dCMVxeO7v+zOB02J 1+vqjcmQ9lP/aK9VN1L79CR7XLoMRqQSDH5sJMO+zs1RTJGd6KKFubvjVDX4 FF1i1pMig9+petP2uTZEWhUuJ7qzHh4FbLyy5iUZkj9rWsnqtEJQRqYyw0gp VHbKn3e+Q4F129aPZua1QVmNH9um4GLgz2DjUdOiwLb7M89MItrhJPfbcRHV fEjXjizxOk4BN7ZVyVOu7TDBxyS+6JsKdW3mnFew+/tBh/IHmhWtEHlHw1/y zmvg/JJlQBmmwDGHxAcpPo1we8L21OZnUcjP09TlwTsqdOz68NxkmAQ3bS39 fu3LRuPemWJd/+2D+f1rfwbMpMaPcheiao6tn9/wfUUbpG4xBnrRYE1YQ6GH aD1KlR7LObAqCZlEX91/D6vf6BtyKXvyW1B9nO/XPF4TOCbtGPF1MxUy/M5W 3+xtR02l2nyGXingIn1ATOcGBVqHDlJDyzpQPH3KpIttATz1+S4XuUwGNo0n tbvZO9DnTbSMM69LoWAu/jHTCBnc74Q3h9GVADV+ocVarwypOQjeFMB+Xwef DQxg40i27C0x/jQgyBwf/ybPvvizrhh1xk4J4/s5VusuEvs5stuzot3S6kHJ 4Yic5JGPQK5aM7e9lwomS64B7o4N0Jlyum6jaTpYhvp/V0ikwozXN9Z9o81Q 8oWLlzRUCz13ZGS3HqTA2mfT+31XtcJgeyL5ZmAjcNYsFjzwJUN0bmpM560a kPm4mj4mKhVYEtNrdmH1/5quDXR5JfVgs7H6XJlnKUhu8/DhMKRCeEUMj71w E6jZcLy7b9cEgzMxGwamsXqDmn6nKrYFXgfPubU/74SSK2Yl79dNQqW2yMdu u0KwP7fmK0dhFqgdEw//+N8+mxne94X91fc1CFslaT0qhQEmw3I14UYwWi9U b7uLCiwahXPzQWWQcPOO4HhpK3Cv/pzGepZCvLeA90f1K/1R6kp/9HC0yRTr C0Bm+doGvC8o5Ggi+gK5lff/h1be/1+78v7//3wXQP7ru4AbK98F3F/5LoC8 8l3A/+t7Ac8nH+QKsH5jw4mrDGvnOuG1TGScMW0cdgZn7wk83gU1fVU/drV0 Q0eDfL/BlnGgaVuluB5pB7Tz+b7xtf1QvG5D2KWRMeDi24PX7XD3zzhRt2sJ PCTq9prbkoGq2HVdN3fePzF9EPrYlfNbKojncel4f/R8pT+KWumPcuy2bMX6 Aljr93kK7wv6mPRZ8L6g7dXnOEwH7T2U7ofrfNhvmYfrJJ9iTMb8oM8cCYSf 1sOnCT8nQ/fnTeU1gWtiTq9A4jeQieDmpF4knlMb/Ksfoc9jFcfqZ3CtK1jG 62cu3yJhvH6+0M1Yhemg2Vm5HlxnINyKA9fRa5wNjYnpQaPvRpBe1ACc43rM GiM9AiYjiXxUkQE4XGLrP8PaCwe3tH5rtR0BG+7cSqyehDTxhCa8npxwnyHq ybI5161Y/QnLdJGKeP2p8SJDHK8/5++/OJd3uB3x1Ii9eHdxAJjetw6604+B zlOro1ONHTB78+vo9fvNUFXiHWF1exJON3RnCX9qg3CZOGpfbTFcbCjcpaVN AZlXJwUwP6hf0sQP9zN3dG4I95N+LNr+W9sAPH/pA/lizRAqv6m+6w2mLzrq hdVv8LFY+itevz3sN47B6zf6N6j+zOYOyB3XP/g+uQaikhsVHB3J8Np64tuw Zz+4FAbs1LhTArk3frtZjE/A0tfwRvbuXvCUe5zdKZsNzG+fpp3qmoRBzje7 9o20wvSP6De3Mr4Ck/SOa2UpFNB+8zIdq4vg4y6/ALwuGm9qdsXrotH5nwpY PIrOaPDB42dFg67i8X7GM/MRct0QuvySuzY2BkTjJM6nJJHhG6OnwC63DngW f2neRdcFFrb/vjGvQ4GYW7teeig2wrgh6oy4EoDqzTNJ++OI526qeJ0W/1ed xhsUcQ+rNyDhbbwKXm9cabtyCa834opYwjEd5HWW0oHrKJgXF+E6ZyzdAidP tIFZw8KWG02V8MNszvIcMwUCp4+/x8bRrUzDrfi49GHjW/j4pVr2O9j9C/WS Ron7l9GgFXH/6orvMU3c34rkVT4Tzx3OZRQSzx3+RE3ldbCWQPxXF+K9xNcf 04n3ErcfXsuImJvARlo1/gN/CaTI/8k/I0KFpO5lZN3RAKUM+Ul6XrXwQC96 jWwJBS5Gjf+6tFAKqQGDuq3mzZAcXO/woYwCDSvfU6z/63uKYqc0D9sFrC8L 978mYtEGCZ9u3fhzZBK2SPo4WY+2wmv5Dqk1wz3Qybo++3XfOPTU3dyUurcW 9jj//C4rPgh0Sgd9vh8cx3933f/6nsJrVaGQx+YGtI0+h3744DeQuNgaHnOE 6Nf4/vU9hak+delORgsKutb+kSLxDdSSQno49EZgn8FHJc1nHVB4x1lUQ74X XMJP3E4RJ86r/a/vKTZL3ZMynO6AmzKnRPDn/tccksbw5/6b/QNPYToo/8dD YVynwXfmJq7zpdaeX4JnADhd9Vp1eCugXHhJ7+HZCbw/ysW/p5BZ+Z7iysr3 FGauKJNxsRmkhDYuMm2OAsaOGp8D+6h4/Dz+PQU9HRdmzfrg+Mr3FF9eCOru PV8P2jGbR1uYEpBaitDwzm/EPtJT/HsK0b++pxj8NszwM6gMJYYvCOD3l4oY tv+5vxB9bvtf7zlg8zwH96n4l8//4fNghU/0Ch9s/My/vgug6U/RfKaxfuqX MAV//ySAu/46/v7J/7yvErCyL0GX99++BKZzDtd/tKIf+X/11f71/j/+3vK/ 3ucPEX3xAFuv0LO0Owfx9SrFW6EWX68CVK8NYOsSMrImHcDXpdkrJnL4uqRf 32CuS9eBZj7adaKOChCgN/O6lIfvRzkp/+s9fBeO/LvV6m2g1L2VA3+fYZUa hwT+PsOqlesrtcLt6v/lxv6v9/BP7m78pSzaiQ6Jb5+bfIjVNQw7faz1JiHY vPfJpeQOpL9r1R6H4npIuXbNp5CbDFqs88KUz+2wlrSdSdJiAO6tOfbWtHUU Nr5yZ+R/0QHreud3W4z0gdrAlL5sGN6POxH9uP9f/Tg2/uO/eeXw/5lXh6/t XdixoQQug4RgbGEZ2pCW+SqLmQbK9EFB57MLIYrHVG1qUxlqFJTff06CBnWK RT7uU1gd+1BgJyMqQ+POrTzXflDhiX6orGN6KUiTHySzt5SiuN+Jxq9+UmFX gMXcFysShMxcfv9tNQlx+VhYWfHSYBupMChbqRAC4hpIrklFKOKSxqd+AxqY ypoaxT1NgydKl020wwpQCfnT3KsIGqwtPrfepHBPPsO5Zjr6dwj9d0wD8+Sb 77F4tDV6ExF/5KEgEb/xlFg8po/4vrgQ+mcoxR9x/U8Pn6/OtCIh5UvT73A/ 3o4Vd3A/LWfu7sb8oxf2hYR//U/M13D/osqmb7B8ka0cE5GvQEQ2kS/HnCCD 2IYSJBrYI4Bzkwo/T3BjUdXK/m5VDMv61kM2lFJkxtC5f2grDTJk6J9aBxeA Esd0pn81CQ2vDnzEcIQGtWfbR5a5SkG7jvuWkX4Z+jp9evz/dPbl0VhG2/9k SkXJlGahDKUkU9KOyqyopNBgjEShRBkqQwMqSSkqmTKEZM5wzPPsNc9DxneQ DJl/z/Pe9967rntb37V+fzprr/189uc57z57P+ecjwezZKj3KiL4VJfAKYOx XNOCYlRuUXJwB5EM2/5EBTfcLoEngQ0UzsVCJC82duAOIwVUHV3f+38qgOpQ Tk033Xy0MWUrbyw2DxXa2fXSh1IhPuRwgtArhCRVVSUMQigw5x3yPqxOPoeo 6zOQZ5mNnn5LGkFlFCATXnzG7FHOh2vxuP2fLPsDuP2OhsJozD8SLsnUwP2r hXvx4P43h0bEYniQ2FlDKp7VPYepeH5xp5Zg+NHywKU8HD8vk4kkjr/i6mQX Fi9S6TxPjfdcbwQ13rRhj0yMN8Q+bUzl7dDXQipv+SmedzDekImxfDrOW8N1 Vlectz8XCmqz/fPhM/eatQ7bC9Gzz2yWutg43cv8zPCwHAjq4fRdrs5HeZbf Ap9ZUWCZ49ar2cUi6DsxtrC2uBBtHU3vHuGlAGNni7dwSykwaL0ykj9ViBab 20VuzpHh0s0HuczZZbCLMsb2Eou34rGrwY1VFHh1Wcna6GMxpHi17kyiz0Fl 97lik09SwEN0USTjdiZoG2j+sViThviT4tecTqDAXrb9zVuHIKeXKFLoN56E /vE3Bdq3X1DB7NEHIdIMbi+3Wp1qP0metMP8o0WvF1T/z6MaYnD/6j28xRge pGKdScWTvUGaimf9gUgHDD9ynT5sjOP/+mtAFMf/SK/nMRYvip+WXcTjzTmw rwePt9jPoAnjDTWLja3BedOKa7XAeQt32ZWM8Ya4O/dSeYuTraLy1iR+ukKz Mg/s/6Szlshnoz8L5xu17lFA5UZD/WONLDgZv/Vi3slMJP3UXWfwI8an3eFV FUzF4FWmeGxNWzZ6MX1172YtCpjGVUY/ligHy+Ncp7YPZ6KfJXqO+TuxdfD7 zVyPjEp49DhNRYUnFSne9XiRsp4CHXYlZzfklIOrkLKtsUEU6mNy3Z+pSIFM dgXXY6vzoMdSfq+2tz06ZjJQyp5GAS8XftXdbDtz2EeM/nwSewF2Sfo8bFh+ 2x6y6InZo5J778Vx+7zcz1R7mn+00n/Jbp4MDA9iqmql4ilvHKfiYVNtwvGj OsWHVPyZSJeKf7k3cKacqRjtZvtOjVd3poka79ErcvkYb+hwXjuVtzdfo6i8 db4ZK8d4Q8eW+Km8VeV/ovIWKq1sIh2dBxdq9evCBr+gMt3ftz5HUQAe9F2d 3poJouTYKindKPSJtb7wQykFnpZ33w2rLQaRD64is5NhSKozZcjFAftdhG5W DXheCTyFadNH516hq+OG+lwHKLCWL+yy/qtaCBYIf6tp9Qbif+vNvR4kQ6ff Rq86vVqwLFS2O1KbAkc/WDsH1JHhdNO4p3JPEcQ/+VYavFQAW1ju+prwU6Dr K/Ow97bJ7ES7MEWxa6WwP2xffY4l1udyrg3A7JG5zxGqfXxPnQ9un2IX8wTz jzy+vrfF/e94yEv1r2pTcQ7Dg2rvHHqP46nQip7H8WjJSl/C8KMTm3WncPyb RvdcxPEXX5e2xuJFDKGl1Hh3GUkM4/EqMw+dwnhDQNhaj/N2JzDKFucte+K4 FsYb8plfpvKmlslVhPM2mHdb6ikhH8xW1xN4DkSCabb9dt5P2Lp2o/DzecEs IBi40Z/yDgYP3itcuysoUPHH7KeCYBmQIjJYDGMTQVaCg+iqic3bHc7BPy7U wsz6r1W9rlmwvWag4EMmGb4R6NS4chvg6h9OvfKcYjguYRa+MEiC6if0nWqK BGiNaWo30a+DOxpPzJJ4SLAvIFZRZkslWJFlvfimmsF2G6OVHoEIHv4xEqjj SA6bzeh3k7B22t9EmPxhfBqzR2JSnzxxe+KWU9dxe+e9xr2Yf1SW84rqf1av xhT3n+bDqoDhQeZixhdwPKM7TkfieBpFVYIw/OjZRdYaHH83YXUhjp/3Rlcb Fi866rhmNR4vQ81baryJLv0HMN6QWso3Km/nL36i8jbF1fUB4w2ZxyVQeTNt v0HlzefwNP1waxEMzghefvQhH46ti/XQ20/5l47ZW5qOmSNNx0ysaGfNtx25 8G6Re5G9MAtYv3DM2z6jYP3pP/TQbFfood2cS1rHEFAFdXljh976lQLriQtn Xnv+tx5aKk0PzdOE67KXSwN853A4XWJZC8/Yc39n6f+3TloaTSdN9h29n2lN M8gcGzazGGqEhPaYfung/9ZPO07TT5ObXzjT8KMFBh4k7uAq6ADD1rCKncUj cIumqzZK01XLpemqnZMinyc/r4Mpegajrzv7wE22Jy2+cxger9Bb46LprcVw 9ba/iJTMGUl86jGqPQAfzx5+ezRjGGIDpBcPedUhw6aeC4laffBx9vySSM4w FAbFa2N4EEOYwE4cz+5PHJU4npU6bAU0HbbkLZueYfGi8TdL5ni8VwV/DeDx ltL02ThX6LOJqNqpYHyi4q+mOjifQd+OzOB8rtRtY6LptqWdu0aPvS90QttN Cn9f9Bx0Z/H3pU3Tc1Neoecmvy56NTZ/0D5fBur8OX3QiDp/pmg6b7tW6LxV azgWYfMHuTFbUedP280r1PnzT/23aJr+WwlN/+3YfUmlZw9qoTTsavixmw0w 7cDcNHKRBMTLvn2dPaXwAeW+4tWqBaOh1r3C2mTYTZhIOP6lEQxZ1fjO9DUB j/TCoeS2MVCj73JjvdkOg7/P5HyDNvgo7DQflT8CBouy2rLSPXDU2MuKbmcn lAX7LvfYDEFY1OPZX8QesKieOC040g0DH3nIP2d/QuMP7rwjC61wr6Ipk7i7 D3YdyP3xijQIhwKUcXvEOsOvjdtzf5Kh2j8tCcRSZQ/qOixojfvP4eyi68X8 V/nTOWN4UNnRHQjHg55pLuB4LCbYYzH8SDDoFxV/Ul+lFI7fsC9OEeMBNfZb UnnYncpL5SHbz7gV4wFprJ6n8qBqp74P50F005E3H+0aQDk2rU9RE5snV8Qm WfyI8CzT9+UsZzU4ddqnZHyuh4ha41DuOBI4+N2eoy9sgc8lOT6cOc0Q4VDW 9oBhDM5LbVI4YdcF5/wKDHysWmGH8GMT0W0jML/HUirpTS8sWeq+hMFWuBqw eIzFZAhGSDyXm+T6IIf75YkarI9fsK7Zw0k3BFd1TlzCxlH7Gd6T+PibGm1h fLy19oUk5gd13Hb3w/3kTbAp4X7uDpnJYc9FUxXRhvhzE5OtTPHnaqb+nsRw IqFHcb44TtuR5nYcZxJX+EcsXvSjPq8Xj3cHZXQCjzeUyecpFi8K5kuhxntX spwa7/YDwWr3mxqBnsWaY+5CI3jtodgc2UGEqw4q94Yu1cF5bQ1zVSwPpUhO mL2WIcFVA81x/ak26B2ODm571gR8pN2d73NGQaebx3F4fQ8QPptxPnvYBBoL QokSaiNwgWdxT8fqPgjovHHyTiUBBjRPH7muNQzfXd+b1Ij2wYUfQk03HtfB vPtzlqDmYTDWCTLFxlERe28jPi5d28WMj2+RpsP9oMJQOmXcj6beGNXPBbvv d7Dnom1+7lz4c/uMrb7jz82x9xrFcKKBbckfcJzsx026cJzlwsp4vEhH2YEa by7fEjVeKZ5UOyxedOf+LDXeQrYpczxer1Xb6gPsmyHLqi8mhY8AF/c0Pmhj JoIEZ8OWngMNEDnO8n2tSAMslu9/dmSBCDuCn227xd4BT83iudh4CBC3L+K1 xe9R6P+tkqixtwfMLadq776rh2+nss7lLI/AiYfTq4w8e2GhMsGo6X41MB4x ZLodOwLMAwaU7rYe2GLyZdSKsxAYa41lZzJH/6VrcXCFrgWJpmtBT6f9H/2y O/FJoKBXMzKoWbjYdu4bcF8caXv/jQS611zGMf8osGZoBPdfrJwig/sPTDHH 8aCv/ZuNcTwnb6ZS8SybrUnA8COdmI46HD9kzeji+J+FNfBi8aLwvV+48Xhv vPodgMd7zJ+1AuMNFfXWx+K8+f8RfITzppmbuxHjDQUeJVF5K9R45o3z9pY8 xnVcrgVIi13bmTjq4fOpx/ynpIjAb9Fr8NqMABwS5ULVi3UQGqVb5jRDBB/d 2q0SXB2Qd3fq9Kt1dUARCOt95TAGopTUsBClbpAglykor6mCJS9GesfpUVic /6HIc6wHTteKiYheKwSfazJe8rxjoEqiv6r1thPa0ovMH69OhKnV69hPaRAh SZHtmgBbA1wzX3e672Uo+iQzZLDgRQb5hOrw1cTjOYv1nk+YrVKQLZPOFZV+ CmxYXFe+R7gBsSW9FTOO+IRcBaa/anmQ4drM4GXMP+IoI1D9H+rRpfpfX8an hOFBz+8IUvFY9i154niUpExCMPxIblPFURw/G88oFf+dMB9eLF70Wj1TG4/X bLSjD483MrBrPcYbWsPitQPnbb/co104b8u+6CzGGyp79W43zpvdeFg5ztuS 78xdT+kWiLUnHvmqVwNL+2Tn518S4ccXMbM7fwhQfT718BHtWlAbK2LM20qC /h0ye7ok2sGEVaH6SXsFfHZf4hLaToQTube6XKQ64dDn5hev3xaBflRZXN/k GLya/tm5mbcTLC5obVwbnw4sZ17pLOhi9SE7nfgr7lbQWRRwRIP3QSf+3kH9 WySQSeJk8PGohi2BsYkZP5NQ7l2ulwpYP/iP/n7/f/X7nM7mnJg90prkpNpz J3K9wO3ZbySLYf7RwzXGTrj/Xc0zVP8k+exeDA9im7DgwPFwcbzTxvHM/pDr wPAj0R71lzj+fZIX4nH8lQRTASxetCGNvwaP9/BgBzceb3S4uAPGG2pWOa2A 80Yn94rK24nLdy5hvCHOuZvyOG+tduuZcd6ybq3u1HzRDJYqdwRlb5cD/7m1 ZgdWkbA+VHRkU1Qr/OBz4lLiLgbedYPuEeVEILv2Pbzzvg1sX1ScaMnNgT/j PGJ2rUQQkr1Sam3dCvZ8Jb/T26Jh8ojYNa0zJLDPu3LxyTABIkPntmlXBqOM to2jXPJkOL5vewuLeinoLvBLXndLR7EFor0dJ/7+PWrInrkNs0cEufVU+1E1 Tqo9zT9a6d+BJ7Icw4OOrVWk4onTjTPH8Vyfa3yA4Uf9Rhwncfz28Wep+KXj bIeweNG5DQXUeMu/nfDA4xU/YtSO8YOYxfOo/GiSDan8MGXE8q5dJCD27Tr6 chWVoKdc3nTRkAT6GjtMwsqLYLy0VeVZVQnSLNP9YzhDhhg10UdbUoqhZO5B dPJ8MRo4BTnZ02Qsr3I/1YsrgtUFfpqHjhUhvTL5WXUeCuS1p9hBcR40nE57 fnwiH9mUWAc/0KUA669bjHtlUmC5p/r+2pZc9Ouqj4puMAV+087Jr6Gdk5+h nZNnbxIINjDJRVWMq0+5O+ajjk1qqdvNKXD4yHIf3VAh4tcXI8zlFaJE0d25 fIIUkF9afMDpWIxqcocOzb0rRh7bg4BxiQxWM/NBvyhFyOqjdIxNYAnijOdp UPxDhtwWye6dkoVoNv7GQ0gqQUoPjvd0sVLALZKFP2M5D+UfKdiWubcEbXf6 7tAkRIH3etfvP3lTAnVD9/QvYjwcG6htlCFifiQ3ViyiErghUy6YfasIudtl C1HmybBhI7NnTWwh3NDJ55Ik5aNJweNdUnIUeJgxsDb++w84ox7Y/Vg7F+mp +1kLvcSe+5dz7JdRQxrH9WK0LkQ6Kde8EHH9nDJezYv1uRFyJz+6l6BD1g6k qdPF6EHeAeupSTJUtk3Yi2oVI697gez+AiVo7ruYfNAsVg970BfajhcgesXK +zy/ipHY9byIr9wUSApTuBwuk4c2+9qFPlgqQtu6Xzr7H6bA68hjeuJFZVBe /2k+dDkfOYfeOPQOi8vRrsmIl7EUvF4u0eWz5iKxBr+wkr0UKJJzoNfryYWL BJTPzpWBmOx3jWZicVmKF1edry1F1UqT7LfDC1Bc+tymGHoKqHBpBKCcYvTR QJOT4U0h2la557oCBwXKG8XPzEQWoJmLMRn+57D37KvX/kGKAhMEQb/sm7mI L+hA1m+VAnTnQVfl6CUKmO5hD8kXqgSOmOwug6IEZKme/159DwX4trDw/Yot gnOcOwoPNb9Gd7Lu2656QoF00Y8sksklKNdDl/D9Wja6Vl/TtEOeAkerpQIq 4gqQQ57nlaNT2Wh1XYZ9mBkFNFhszHmzEfLQ3MiKPmeh89/jTZd9KHBM5ZTq lXeFKCtARNA/6gsqjQuzN8DGHxKKpRQnEcqUTl1a6IxGlc6vHpukUOAqZbk8 ySYPKY1LBd46GApKIg0f7OKxfPuX/veffWvqir71AK0/dV3Rn4bS+tDfK/rQ v/WbT2l95ZcVfeX1v+h1h9D6xC5an5hP6xNL/6LXLfOXvk/nL/3dP/W6BVf0 cf88Z8u34pwtZYWO9z/7uI4i7rTWLY1Q/KZ+QsOuCe6mHtXiXEcEz1ibJw+q 2+DcCHO7UnYrNLvz65uyjYKFg7rLQE83HI9LChJ+0QFWO8cJweVDQM5fVDrR 2QPvpWSvFR7pBvGmmgbj44PAzXySs+B3G3Sy881OpvdC0/Egnt0Lg2BxNbxd MrYHvQy2U1ow7wFRuiNMtc0/oc9fZQ6p9qAPdmNLq+o74dK5tK9RIkOwNSwu rZu5A+3jfb22oL0NFi9lzm20HYHD1v07Qs40IZZ6el3+m80gZyK/rBuE9UcC Z4N0NtahTSe16Id/NsDZjG0a3BIkuBfSdu5pdhmqLnXRehxbC7rSag8KZMjA yvXBPI+tEzIOhVpMfW2BTYHrBp2TRyBz2mrt7fke4L6S2eup1grKL7/OhSwN QcjZTSOnWfrAr39wQnyoBcJMVgm5n8HGLWo8fR92w1PttyEib1shaHI7V2b2 MGx7T9xbWtqLvL8NtMt7tIGxgInymQ1DMLp0JMQjtRuJWKSv8+Rsg8IaGTNh n2G4/6Ii5rNcG7Ld2L8jybsFeJxFnTidRyG0xaiJhAjoJ1OVdJxgE/yh6Kv6 7yXCl9IQmSqOWqSso/fzm2UDvHDp1N53nQRCUwtf2Pb1QlXrnrtzPwmgYPVE 4MzPYaikTz8eMd0Lzo78HINs9XBPZOmjHTb+kHXziQD+Hriq6pXg/LwKCm4/ z7v+eRT4I/vUEsd7UJkld73wTayfkrObmksfhntBF13ysXrGhzCxM2m5CSKn RJucuEZhuSQs63VbM3IbrIh7tacJdIzZBRZ8xsCPPWR4nK0BHRkJi91qQwBV ugsvzmHrr9zhkBOz9L1g5Z9ZNvSlFOY3nzC+aDYKZi7Hs0juXejW1aQr0mkN cF/3l5XIhVHoOhl55uNUKypvD2jUwvzEFEQEnLEYg5JdLLlXrbE+XYKv/dRQ A2Sesxz+7oDV7cJucs3dbegckz+dYlQdEM4km47EjMHW3IfTWyaa0LidqRLl WD1Unnfem2FLhD65U392+jSjs8oJVRtGamDr2Y2nXGKIwGrix42td4AY12/H 1zsl4qa7+Hr3t/Na/TyKYecy8pDlI0nqPuDR2t9S+D6g0Wt9A6OntTB0JdJj wDEaYgKr3mp3k6GxOkrcBAiA9hdFkZ/UgCbHJ/fX2tjv3bRZ+ItpFeQenuVP W5UJD16opG7C6oqUBmv9sw3lAMW7F7c9zIFNCcsJV9kx/+u4OSgCteBzwD2N 26MJKq8UMaEWIjgYpYbubMoEiPGLnVYogsfRjwyFsHXhOQ+b5l7p77Cqalvf Zq5ikOg/6ix4C1uPON4p1igXgX+mGksNViceDmz5eJBAhN6MgSInr2+guFn7 p5V4O5wK2pDw5idWN2q8sslF9VC1wJ1jc6AQjpirb1HZR4Z5xz+N+tAMfpot 9OhKIxy/KKl3rHEM6oKZkgRzWyDFaLIKxDugROnEnUbSCGzq5ecnNNWDlutA ak9bL9zbK8YkThgG9c9rNzG9iQCyxPtHFjIDoMo1qZ5eOAx1aN8lbBx5djpS x+1WN1DHsebT+n+dR1LvchXC/KNglYdU/5ZhHxlx/za0fG6+Ip/PZv3j/NIT 2vklbtr5pWtjXL985L4iK76+h3JHBkDMI0pu849hIFEcX3pbtmP1ayhJZ6QX Ss7OcpokDYI97ZxS6opzSqoCXYKyi03gJGOQ8oSnHRp3ZyVXfxgFN5reHWmF 3p3DwfwQl/p6GHgQ9IFPpAw2SXcYnyeToG0n6QWWf9CgG9NHPP8YvXvJgecf oxMbzNnUe+GUmgqYra8F9wcvHXOSRsA9OjNA1rYdnqqYbcv4VQ42Lnlay1uJ sJ+mv7p5hf7qPto494rx73Hrb6z/UIrQR22hD8Yl0JfyUvtVGxmaabqsISt0 Wato4z4rxodoeq0SNL1WLppe6wRtXG3FuMb7dnaOh21AF3TwulJbIPi9K3ve sY0E4tuGfjpXN8P1Swwd7GG6aMf+9yFCySS4sY6dj/NWGURYtWudCUhAysX9 BvGaFFCLDxjf2JQN1a5EnnscSUiO97muUiIFFO8mr+dsykaOAyHU8TvBfNTx N+8KDmB+0PEyY6qfyxMJ+rifJDp6sRdqjRCm2PBG0L0SLt0V0viD9SO1abLb sT4CJtrkL+J9xIxfQiPeRyQUywth9ih/qOItbh9rt0sTt1+XWOOZ4kCAvojK hr6ASggkCJifuEuCLcolJve21MO3JD2/QCbsdxRREbqviQgyTNn22Zk5sDOr ql0kow16P78asKknwqophnbB2kbwcaurXyPSAAx5OgdfeRBh6xfez0cmWoCd tVcy3qYVTPvPEp4HjILi82+CjbeaYKhk/h6jXQ9UxbQL+rGNgBn3C5s+rwIY V4zmcMvtB6ZC//3934eh4i//x+TGX+qi/SrRXWvsdXL2F6W74d/hH97eH4R/ h3fjWm1QT9eGDKPSIVezD04TnIa2Vw+CEtsgc6gfVp9Nlwbp7G4DprUSstlO I8BI03uMXnHO5I7ik1MSHHXwWvTomCxXO+wONb/RmDIGbV96uTA/6Kvk60Dc jyffJincj6iNgfeXoR44yfx7WbqiGjRnW3f7sI/+S3+Yd8U8JzKy3FpwOZ3D EOa7piq1mPY3BfJ5Hv3C8iH6FTQ/gOdD6ZTceDwfSl9+exrLn8itvpEZz5/G QlrU/Nn46btV/6paZHdu/UVurlJwW9xhq29KBjJtniuumOdvaLqmSit0Tb1o 44orxsOMNip1WX5DkXw5fjPkYhD4YUB/+jq2HmlsvOvyoRqKImK2hkX3Q6jT x8kR9mGgBJrGYeMoB15uxsdX3WecwMft+VysMD6RD3/uEM5nyOcKC5zPR077 NLA6AYkt/orB64RU9zfZeJ1w987GcCyfoDvMMpvxfLLG0U4dzye8326HCEo3 oHumCu+3fiyFswnM0j9+kuDWivxmT8tva68WncH4ASPmAAOcHyZH1ds4Pw20 vBG4Im/Q11fvxfIPlOUk7MHzD4920Fk8/3geGUrptPwGj3PNXuE82DI4rcJ5 eP4X3u77Wwx/l+lFCRVlhr3xrSCrYLnLKH0ItK8rdas2PgBN6Ten1xQiVHf7 5bhFLgW+MFwwP9SUDyyRlDWbsrC+Mo1yik+AAizVT9lVR/1hQ3D/6/ft2Whk 2/dfj4spwKV9to9/IhExrQsx3COG0LEqK91crK/xjv5s+c4hD5YOdLdfx/q5 sJ/Hwy/pUGBdUm9L2Fgh+LTsDyC8LERGNwzCf2H1BjEOauqmP8Mjl4FJEiEZ jVy7/rSomwINx1i90zy+oxCLAbLroVR07tX97QEVFLi4YU/varcCVPs+zMKO Pgsdyxs+HWNDAcmphDX3uXJBfG3Wa//eTLTn8K6uOV8Mv+vZyAahQtAeDZAs 3JWNBPhXhc+aUKB5z0c2skcp1Koqz8gYZiFO1jLt0UMUSIlxcu/LjoMLje98 W9IeQOPGwMyBXxT4yShU0KaVhIwa9Q2jMowBndz46cswBcaecU567ClGhziO t4ncDEHmiX8yOR9QwGCIhY9FtwKtg/U128y+o9X3GilG+7D5f9vyxg6XHGB4 cFOg63IkWr2Um1ubTYFfGedSq/oKAKK+scPBcCT8bY0y1xsKsD0YOGviWAaN PONLrHbvkQw9w5DJRQpYPZCx3DtTDZ9TB069S7CBtb4/bwSvo8B3cqfEloQk VNX568ShA8VwwbiuV9+KAl4Uxp2ZKuXovi6/x/jHHBj9XiB0lZsComm1pWMi tWg0//Lb89Ux8FNEn1w7SoaK7/Px2fnVKM6DuUHD6CBy4M6SIa3/9/1ZnxX3 Z8/rrc6InciBLzkZXuoqofCrafB+VA4FXO5NiivlFoIVQ4bN/HIsGBEH9aUe U0C1Y/xc9LMK7Dk5/ZZdKXA5O/GhPT8FrM9y9OS8r0H6Fgq6DkuNoNZ2zvDa EtbH+Xy5RxxvQLs3G7XNMdfAu9SBzdHmJJCMlI8T+FSP1vdnXSnoL4BCYYW5 B1JkaA3Mvq6hW41CPmuT2a+kw4ttresujpPhle4eEQJDHiSb+d+t1MqBnkHn BnEs7/3Yts+6nq0E1A1HmrcGFUBoyJOBLF4K1M7R9xivrQHffWfHhkvLwEY8 ebXEZTKoj7xiSHjegjbEeajWru6AS8XVe5MYRmGEyP6zSLQZJfr6etyDRmDR NxtM6R6D5nJ2zbjSenSsSPZ1ehRWhy/1Crz0IcHRG/evWJtXItj9Jyv7XQnc J7orpISRwZB2n3SMdp80knaf9KCqU4+33FeQd3j0CK/TjG4bHsbrtNsFe+cW beuhXbjEns2HAKJLTymXuojw+C/3JekHxeWwOg3J6lcn4nVapemxRLxOe7in 3FJkPwGsTnI8rrpFgLkUKVnLQCLYz4XsC1tqgQ8S3bW1JY0w0SMkcPDKGDwf KrTC6jHkuHatAl6PNelz3sHrsbrgdbXxRxth9Ytr3SeNG0DvasoN3TdY/hQV Xk550wpM94I5VMsaQEjo9LWU4DGourp+cYrUCeVvTjtKLNdDrvnb5GfhowDr epzZijtQmvfzXNPL2XCu/Idz2QUi0N9K9lk070XcsfOOsn/K4Eo558UKbL17 mNDMTElsBF8HOv419XWgNCEw9TWPCMFrhuUZbreC9qNNCR5OdSC9WmBDFgsR llj5X/ya7QCdb9IMfoQa0FDeuN7OfAw8a9junjbtBgnVqyaDAWXgsPy73lNw DAoDD65BWJ911tfU7kO/GeTYqD860k0CcD/g3zXXhaolXE429GfA4/MO5gq1 YzDX7Vr0TLIHpfH2tpv2lYCL+Sn3rb9GgVw2s+9rRCPY/Z5n8WCtBeebnjqt zCR4E/rdOqK4BWbGZwWvK1dDiMtbMzeszhk79DPZ4H47HIkOnFCSKIfl+M+n +oSIcJgB+M3mO4BYK1DIalAAw6mMiGc7EfqFDENeru0A4RB1X69XSeDZmO7/ M4oIEcJQdt6mFOoUfFJ+d6Sg0+etvg+pUyBiUE/0KV80krqQTByMzUQMxcpH NmF5XqA44squB3UolMXe36YnHsm1ZHxTSSfDKlN7qRyJNuRdTjqv+SoIuhSK f+/dT4I097X8my50osujmzi99mdD3hhdE9MhIkxFMZZPUjoQU1euA5wsgRP9 zC7Xf43BL825poGMZtjyNdc+t6MMdI1Sp9euIsFadYn9++NaYTHDXPvAiSLo 5V6QvtBABL91dLXWJm0QNLG4ZSovC+z1C+dUyUSIO3fRI66vBSLVisRCYyNA 59JjWyN7EiRpeE47LTWA2/AJZdeKz2jCgV2p8CoZumj3sCxX3MPadCM2Jszb H/0ST/aMn81BPHrX50/lU+D16ZkzgpLl6EPpwWUJQiqK0mgZlZKgQE2J426b e43IVdNh+ybz10inRqNNXIAMcutOCzNEtaKYOlM5je446PK3PZqiSIKTdPqr ZN+2oVdGhpY9B3OBfOLn8CJW3xofvZVT5tqKdvGdl6aLL4YfG14cMq8kwsUv f6bVBQhgt3bcVYu9HA5bJ29diCGBTVVHof7ROtj55VZiom0uFOhbXPV+RgaB 8MtNXtsIkFdmYioLdRD69Pwfyk4sb9C+Hz5c8f3wzATZQ1OgBbh2PiI6TzbB tSKO/bNn/v7/AdP0Ba82726B+fdfi4cZukA38Cbhke+/z7cQV3xv9KR9b4xe 8b2xm3ZPR5x2TyeEdk/nyZXVlzH/SMqYqwT3/zy1lupf5y/3Jkxp57eXaee3 t9HOb08twzy+bzu/LP8f+7bK5seL1nsXwaMS4BitKEF1cvSBsnNkUNyovHbB uRiql93vP5csQcyNRyK/T5OBX7KLR2V7MTSc7a3tJhWhpaStVUWsFCguYM2W 6y4A51XHlw7uKkQfLly9ZiNFAWkFg/jIbznQ3fX++SORfLSd4TqbtS0FGH/c MtZenQhWB0fu6HvlotisQ3MC0RSg/GUf5CCjst2u/hw0IGirOiiVj9bHnQ0/ dAurDyfHlmTbC9CHrzwVP0QLUcQlybWAPZetUobrEksx+iFT/8mLWISaHBnz W9dg/ea9TCetq8WIV3HjvRbhErSh2cjQ7Q8ZymcsuYxsi1CZu3BAaWYJatUR jtiyQIbHq0fGzp8vAW+1ytPX15agrMMJue5kMjBqeVqMFZbAny2eZxN7i1DK gHBFPsZPE9e8fs+GYjDZ86bt81QBYg1f3/9+BwVOpQ/Uv3uaB7mpWsM+MXko aTDR/y1Wd1nEzY5MEpNAU1ttNUEDoR2Oxy3co/+u53NY40Cixu8iVNr71LmO vRAZ3khyHcT8x1bZ8hS4liBlsdtdHN1FCOJnZ/H3uJG9fM0fthL05IL38tvf xWj/74LdDL/JUCzgtaR7uQhVzQRf3S1bgtz0g7aIMFBg85d4RcmNBSjloutI aVEx2mdV5XNlJwXSc7hlO7C8f/PyzJcPSgUomPic5S7+f6V5YgM7k0tB9dxk nvBULmLfkDSgt5UCO4U6fzOcK4Qj0hLqAmuzkIOyeAOvOVbXfXTZJ1ycBjM7 g5h+BKWiGDEpsM+iAOuluorc5VIkvmN77TOjAnT9maYlrv/DHS1WPhxQgqDx JbeTUyEiRcn8Nl5NgTIxn+hg9iL00Puyzc/AQsR75c5JAUEKaMQ6M6ntxubH vbnI9N8FaGxGgG6DKgVkfNo0ODUqIYruyNO2m4lILFs0sh2rr0r4EwcLpEvh 2lt2V4rZZzR74dWHE9coMG35iP2IWjasj98Rv8ryImJ+53xfqpwCe9u5JFLO liKu/ryxbauz0cG3heZtWJ3Mr1yhsthaiGxhYIlnOBuFS5/fn4bVpffPXlKb 1c5DBIEN1kHc2ah2xsB5jxsFprw8v3mdL0JfB7yfaFtHInZOYUszTwrkbBby fMGXh3Ya+l7a9SIKlWwQWmaLw/BIFzz9zJ+PTJUcsYIrHIS6NL2nIv+tc5tM 07kNo+ncTq7QueWh6dwW03RuDf4PnVujv+jcTv9/6tza0fRsm2h6tltoerZ+ ND3bMJqe7QRNz1aRpmc7QtOzVabp2TbQ9Gw7aHq232l6thk0PduF/0PPVoym Z9tK20/ZvGI/5TBN51Z0hc7tdn2ttXoOBAhQj5s9x9IEv8frXuQBESbrny/D pVZIqQw9vfS7BXbITDafejcKRAb9zvOruiAgkO/PjvftsC9X3tEiZhhit7D5 yrr1QMLyoRhzXK9RRMDj0/ggSDvxP3Mgd4OPUfUFH+ceaGr4qlmpOQi3fNvr BQ70IJuRBOOUmB4wSj+8c5JuEMKH56t6HXuQUOEb+p3WXaC0+7tGAGEQJlep moVOdCIVQWapDZ3t8NKrUfNiMFYPn3nD46vSigpse5s2crXCxXZiO+nNKIhI fb1GMSQg79u35kXYmmA05DOD1HEieDCyjp6eq0GrprNiB9Y2wGxGr4wmxpvi 7YwvbPodIOruHEB6jNVlHGWqxygjUCrWTNG61gMnpPwESHqt8Ig7WmGL0TCo 340WkavpBa0FiY9i11rh8o7ZZ7wGQ7A1fN3zzPZeFDfHpzd1sQ1SWw7fK2cb gpYnBZfYbHtQSL8WuxtLG5SIxEVx7B2GieGmO00GHUj07aWiL3StwCo9KtxT NwLGA1yZp22b0XTknK+LXDN4BOglbrIaA/m5cZWZ/nqkk3wg22GRAASTG+y2 aURIz1SayJjsgSAlh/Qdco3g/6rpovbcMLw13sUluNwLd31Eo5yEG8DkgmKb Ava+skYJ6ldFelG2hfcuva1NIOEs6/4wfBiqgnM2DGp3obeJWkrSNU3gBrse uRSNwDu5uIrBjFZUXn3KV9ysCaaq9z+N4RwDrdT7ZtvUGhGIJettEmsEiXkL o1ElInzOtv6zJNALJvZrH37dXg6tjxLMY2RH4VTV7smp2S5UMU1yuHCrAUQG N/O1K43Cp/mdP0UZ2hG9cHfashIB6gmiHPT7x6B60HQmDavDC1pCRePYCEAv Nm/3UYAIEzW9qxaU29GAg4Ff4O06iBFJom97NwYFbxN8nlQ2o4rEi2yH+eth oSjpQa0aESpKlXLfOVeAhuDnj5F9yejlqpvxJCyvTrvY9ln3NiMGkflNj0Jq oOpSz3jHByIE2bgx/a/zHhL3ancGChRAma+ycQWhGFnKMhQzYutU4JDbW/x+ DWnFeZu9ikUcatbJSNxs+vm6KwhVwRrx8S8U0C7d25V1KB+43h4ocJsuQA8c Q49bq1AgREXffqdKEURfHND6EFqI+u+5vNLF8nnOc7qG/3WvJGC/4xmD++mI O7vhykhBKmqOMJJozaBA9OE0/d6nhaiUvSyy+msWymq79uqjEQXWfIgft7yc B80pjIfVf2ahEJf0GWMsb+vMyF8ncxdBxt67mm6u2UhLf1tz0QUKtPinyO4Z LwXhVYd6AbLQa1Lwa4YDFAi9YauA379YteL+RRz/NN19kxwkSc9QD04W6FZS dsIarL9YN32oe9K+FB13eH3rhFk4qqi16nYzpoD6li4ZnfgKZOa2acFIJwk9 713LJ7ebAtsijt8L2pcHlPUaJrZvvyBNxYXkrdh6MVi/mZMtogi4BjUzPq0N R3z+va5f3LF13Gsmcya5HGwn5u5fvPUWPU67mPBQjQJmUl/3r7pWA3H0Bw8i BVfYK34p4zoTBW6VbCRdcylA33Y6ydTeLYQ9LXcvVGP1Fd+VgCPEXdXolJS5 df3lDFiYWjwmPU6GlMf+28TP1SIGJ8Z4pzfhEMK7l8AySoa4KTB5eKYa+bpc 6rTdeAsd1/8RkMfz9+8nj2TCmTNP5oOE9njrpHcE+CceCygMp8DFdAWzyfgS eDDY0DZ65xv8OOVnrIW9rx/Wk2c38FfDLrPtBy5IZYAs08PGNgyPW66sNSNd PagoeiKCTj5kM6ffNr9Ehk+MBYaO5fUo+ZMGYwepHgwt9psn8JAgro//7I32 BnTZ0KOLYaQcTk3dzB3A+otPF9oNt3TXoaXUQ5JtjPlgF6vlv8uMDMytQSlm TlVoj1+q3SWlNBj3+pGP6/u5J3ydZRctAkqaUcyqnfngfVLJ/ok8BZK9ZXpd Mitg7sYvRR/REuCzKvUr/U6GIJa9bmI1dWBQtzB1oKUKJrQLZHnrSNBI6wv2 0/qCz7S+4E1SoamlejM68bWgpHupC3b48kpm3BmBz4cZsyVFW5CiyOP7Zn4t 8GfjM2/OmVEw6V7nyv2pEUnopx9rkWyArsLdKrw+RJD7pR15LaoOiT5n5lKK qoLUzZY/mlpJUHcnzeWXYwW6ZjFdxPSzGGwerU4pySD/l67XP7/DzL3V/Ppl oh5uiOs8dCcSIHj++OVt6X/Xp3KQ2uotoN4IlSYTt1TXNcK65ic6TqqYfUXn tMaXVpjK+fSmHFvHT3kgzzLRMchv7JI8O9QEGrtfmUQQG0Di6R7GKjEidA5J jZ0gtEHYtv7rv8YbwMZDoiRTbQzShxQFfj3tAt++J6Xxg/VwzkGx+7HzKEQT VMI3q3YjM98nzm4WedD+3Jti7j8G4v7nhsVv9mK/OwnHbr4KuMtvtdg0PQJf 9/gYZac3Q87ZzN5tTPUQ5GyTfPsMETIidr1nYW0H7QpDDwW5Ori/RKq4/H0M OqqdBnx/dsK8lXttVno1MJ1gmFSRH4NEI4VlrY/dMDvALZ3mWwoT9PLJv3aN gQeJq2xosQ0p8GTeS1oXAY2/W9SFF4hw06xldOl9N3p2XeTF5W4EvNrcWvTP xmCXyCapGZ4edNe59OXpsVL4k7tkrvB7FJS26/1qKmsGR6fcibG7NdB8w/2o XwQRmnYbRo2atoFO8aqGq7GVENYbpdqgSIQHM3vVFLF1PCjmJVB+loBnCEX4 KFYv9dzNkNnO0gkSq5o9CEx58HGpW1pckgh1AlnkNVi9p3ncxdgw+Bt0cWRk LVcR4THMNeHnJ8dW5HP0tvZ24fNytFNJnl/zaAqyzgwQbMXy4cLS0ZP9QU3o UJF7V9/QC8TuyFWeQyZBKGG4UCG2HdV79+QefJ8ATtNBUs/KiPBy21cLkdOd qLsxxsiGnAsb6zWaLPiJ8LHU42FCZAdSyD73vYm1FCrSCDF9s2P/0hOwXNEX zwVvfM+ztRX6lNrUcrHf3aEzfrLt7USoCkno+SLdBrlJ+z82DuXBl7Qw+okW IhztvRFutNgKr+98taubTwE9KYcLS1tJ0KMaq/SpqBmsZ9RmK9Eb8D+l55Kb RII3xqtz5H7Ww3ois4yHSiSiUzUtS3r2d32baGu3ORNs3Vy1Yt0MMYz1GpMq Qqf6WSrZHTOQawy342MzCjAxp23Zl1aP0tiOKNVe+YKcdglr/XlJBh3TSB/5 gmYUP/ij2IbwGu71K868TiaB5OGej0acbchcdcy9KiMFKqZuHW/dRIIWQe0U j3NtSJWpOl+vLw8ihVUkDOoxnhk+WmbJtqK9xkt7k2RLQKs68cAwgfjX8w/e yrfeRLtUg+qZ590FahmQwiGsQMTyvPbGQDP8Htz3FffgbBc8wz/IFoDato6t 5TcKIT0v9wxRlgJWKpEU/8RSCGvXfOlZ3wId2groUTMRHmkntv6v/cRl2n69 1wq9kdt/2X8/r86Tb1XTioqr9i1ejmyDB5z6/Qc4RyE7KluiLaAXPBvqbgz7 1sKTh87V7VYjsD/SXP3k5xYQyjq9O+t6OTi1/Ln/CZuHPm19rj+XuuEGd241 5XEuMI17RzheGwND2veWxRX35S1pOgYyK3QM4tpHS84vEpBjRvzDva4xsCC/ naS2nwzdf15+kvdph7v0HW/DI8NgL8ea22+x+SmzSp2zbboWGK9wXWUiRaL9 ogme9vVk8D7b0n+YtQ6968zKbuSJQHdcg5wO15HBHsweWWoRwNj0lpfw2Qpw sw8kuvmRgJ62X+xN2y9mpO0XP1b7LLkQ3wIueUetxD+0wJp1a8yPNo1Ci/xd +b43zdBHkIweme+CYz6hjnRmI+B5nLnqf923WvVi4RvGM7xL+0R3BeN5kD15 EOf53Eu6j/g59vkV59iTch4tYu8dnc0seoG/94WHwTn4e/fbXiWE3+9bt+J+ 39HDHVLY+0JWE9JW+PtyH/hZgb+vpWW3I/9rv3hBZbMZvp/LuGI/l54ul3bf X/k/voP9P/+nly4= "]], Axes->True, AxesLabel->{None, None, None}, AxesOrigin->{Automatic, Automatic, Automatic}, BoxRatios->{1, 1, 0.4}, DisplayFunction->Identity, FaceGrids->None, FaceGridsStyle->Automatic, Method->{"DefaultBoundaryStyle" -> Directive[ GrayLevel[0.3]], "RotationControl" -> "Globe"}, PlotRange->{{-2, 2}, {-2, 2}, {-0.4999999999999949, 0.8582375171826542}}, PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}, Ticks->{Automatic, Automatic, Automatic}], {192., -189.}, ImageScaled[{0.5, 0.5}], {360., 360.}, ContentSelectable->True], InsetBox[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJyFfQVU1sn3PnYsdufarauuXZc1sHV1LdTFWlvE7u5eV/3aCmthYGGLOqgg ikVIiKAIIggorSD1d9+ZZ97fe9/D+e/xnM8+7+SduTV3gprj7QdPzGthYdHx JwuL/77qPzd8Q67bvblulyGAb/4H33zVeE+d3rvq9E7S+J0hf6zGew3p4Rof NGBfjdXnDvAWmU7AO2R5jQNl/RrvlO1rfFX2T+Mg2X+N1dcqNzr5F/QCg15g 0AsMeoFBr+k4ut0BBr3AoBcY9AKDXmDQCwx62bxZ5TaPnE7+Bb3AoBcY9AKD XlM+cbsDDHqBQS8w6AUGvcCgFxj0Mr60yo1P+TxyOvkX9AKDXmDQayoHbneA QS8w6AUGvcCgFxj0AoNeJndWuckh51M+j5xO/gW9wKDXVM7d7gCDXmDQCwx6 gUEvMOgFBr1Mr1jlpme4HHI+5fPI6eRf0Guqx9zuAINeYNALDHqBQS8w6AUG vUxvWuWmR7me4XLI+ZTPI6eTf0EvMOgFBr3AoBcY9AKDXmDQy+yCVW52gutR rme4HHI+5fPI6eRfU3vkdsfUHrndMbVHbndM7ZHbHVN75HbH1B5pu2fFsBu3 C1xvcr3C5Y7zJZ83Thcw/4JeYNALDHqBQS8w6GV23So3O8/tILcTXI9yPcPl kPMpn0dOJ/+CXmDQCwx6gUEv81uscvNjuJ3ndpDbCa5HuZ7hcsj5lM8jp5N/ QS8w6AUGvcwvs8rNT+N+DLfz3A5yO8H1KNczXA45n/J55HTyL+gFBr3M77TK zQ/lfhr3Y7id53aQ2wmuR7me4XLI+ZTPI6eTf0Ev86utcvOzuR/K/TTux3A7 z+0gtxNcj3I9w+WQ8ymfR04n/4Le3NYR3M/mfij307gfw+08t4OgNxe9yfUK lzvOl3zeOF1W/Dvzv+zXswS+oB94hvwSS9flbhva+2j2jTC0+0Z/c/v9mKH/ D3Q6MNLlmjXBDP//ygHz7xr5JWA/mZ9yy8e/yA+M9ng9PB9Pd5H91r/ji/qQ Dn4BRnpmzn//xev6kY76eTowytf67+ddKTo/MPIDcz4AfwDn9uV8wssBY/4g J+gfMPoHjPnHuKA8MMoDozz3A/E75A0Y6RgHpAOjHswX8vP55f4Hn19uv/l8 Y76QDox0zA/S+XxxOce43zC0ky3wld3J1r9zvnYxYBdRw1D/B+Ll+BfluX/A y+F31J9moO8dzZGYuv/XXJ1Puj1OD+836kO66e9ud7he4PMKjPYvGLIHEPoH jPqAUR7zjfIYL+Q3xRZufNzQb/AJ+AH9An5qSH+qxwftYfzQHjDoxXyAHpRH fmCkox9oD/2PlViPB+oHRjmMB35HedQ/zcCPnzXm/i+X49z0Apfz3OQS44h6 0D9g2FEuR9aGcUnXGHLYR/6u5RAY81RP/q7zA0MOgaG/oNdQHhjtA6M8MNpF PSgPjPLAyA+658h5EPfkPJl9UR75MQ4Yb9QHDLp4OuQE6cCgAxj95HpI2znF L+BL9AfzjPaA0R4w2gNGe8CgG/KD+jGuuc0znzc+D8CoH/KWG19xvgFG/cCo Hxj19zTUk6jlEenoBzD/gp+B0T/O58DoHzD6B4z+AaM/wOhPbnKH9oDRHpcL zuecb4HRPjDa5fVzOQMGHwKjPmCMGzDqB+4n513kN9QbJqBPgcHfwDwf/yI/ 18v4HfYB8oJ0YP476oG+xu+QB/AX9Dfwa0O5ZG0P0G9g1Au9jHZRHuOG37m8 gS8wPxwjH9Y/nG+xjsM8ww5zPQqMemEXuFxiHZhbv1AP2uH6nmMeB+J6ha8z OZ8indMBDLuK9oBRP1+nc7lCOuqDHebrEuRHOvJzv5mvm7jfy9c54CPUD4x5 BcY4cHsEvgP93C8E5usoYL4uym3dhPlAOvgE6RgPHs/l9pDHd7l95PFebi+R DvnleoB/eZyUrxv5OpPbFa5XkZ/rXcwXMOSFx3+5/ebxYG7PeXyY23ekQ99g XDB+wPyL8YH+A+ZxZLSHfPhCnrlfz+1ebnaa28nc7A7SoW+AwX9cn/L4M/dn uD/O/Rsen+b+DtIx3jwezfmIx6X5OPE4LvdjkA5+4+PH003X1xZWyA/+5P4P 2uV2AeMBDPqBQR/vNzD3u/j3/+dXYL6BMd/cX+PxaO6/IR39B4Y+AQY9wKAH 48rXUdzPwhflkc7sslVudhvzATuF/vN4M/cPkQ56uBwhHePM+QTp6Bcw6kF+ YN4/0MX8AivYCZSDHubzzscF2JDNLofwhTxiHhtIP87s66L8Q8gnML5cX043 NJBKKA8/tq/hm6j9Ox4ng91BOvQnMNrBOEBvIp3H5fA76kV/gdE+8uN3bv+A edwJfiv3e4GRzuMhWM9pv1zJhfZnVT91PEdhpPM4CujA+INPUT8fp9zGkcdl UB/4iMdFMgxfV9HDQM97JX85AvyV2zzyOCrSQQfH3E7y9QbGE/UCJxjyv6QM wzdKzxvod5X9J/Tf1/D7MU3PYIl1OupH+6hf2osIjacaBiCSChvm31tUNeR/ ZWb3oW+hl3NbJ/BzStxv5+X4OR5eD4878PMvmBfEe7QcKcz3lbn/jXToOR5P 53yP32EPuL+MdOhJLueYVx6XRf+4P4p86C/fJ+X+KD8HweWd+yl8X5n7a0gH fXyfkvtrfN+W21HQifq5XeX7nNw/4P4G3/fl9pnbe76/inz4nfMB2oWegH3C fELewOfID/4FrmvoV6beJ0D9kH+ky/5n5mp3Tf2kTLMv6kc+YMgR+JnvS0H/ Q48C8zg10iG/qD+3OCfa4XYIehPYQG7vbK2P/5FYjzv0NcYf+yBIRz+A0R7m h+9DcTsHfQr9iPHicQVg+AnwG3KLu4J+bmfRHuQF/IN53m34/bvmB9CDeqHv JxkIDtUYco76kQ6M9NKS4dQ4hFFpQ/ouAgZ/o7/oJ8YLfAB5hB8FPkacNo+h fJrm81BD+WTNN8B/S3oJehu/uyh/AvVoP0flA8Y88PgbMPoF+lG/9pNUfcCo Dzg3OvR+lSoPjPLATaRdVeMYk+s4YRxRPx9XPk7AVoZ6Xmt+AH/m5jfD/kMu DhnaO2c2/8BZhvzf9L4k4qLgU8RN7WV/Nd/Cj0Y+8A/yga/RX64ngFEecoR6 gVEeGP2EnKM9YJQHRnlgThenG/UBoz4+Lhg31A+MfmKcMB/wv8APaBftgQ/A H2gH7aMc+APlUA/KoR6UQ/+QDj3L2+F8ztcVucXRweeYf/Atj8tD3vk+MNIh zxhn5IecID/G0dWQz5VOGfrxSI8z+sf3nfm+LuQf/Uc6yiMd84r6QB/yQ/4h p+gfMPoHewU5Bkb/0C988TvGg/cX+dBf5Md4IR3lkQ6+RH3Q13y/Hxj0ozzo R7voD9pB+8D8d7SPcmif9xPt4ovyaB+/m64PM3W/kA+/cwx73MvQXo6K0+Ro /Q69Otvwe6T+gi8xf/CHOL/z81ngX+QHxvoM60O9XpT8LR5J/hGm/miOQH+R jnJVDArhnLb/+B39cjXk/yLQLuiHXoD+gJ8p28sS8NswfkhfIPlZQA5AH/QH /C70M5/h92jld0WIwYb8x7R98pVYmNorCzfoK8wP93d5nAHzxM+ZoDzGn/ux 4CdgHhfCOALzODswjwNwfaTXiUrvQp/AHwVGf4G538njEOB/HpdAv4Dh90EO uX5BOtpHO2if6yumP6yAwU+QN8wL30/CehDjgX6gPaSjP0jncWn8ji/WiUiH HkE61otYX3I9ijgG1m3crzWN3xnPs0I+UA/0HOwB5EHvs6hx4eeYZD+z9LoJ +oTrA7QPvQG5R35g9Bfl4R+A74GxLuTrAmCkYz74vjno4XFRvm4BRv+gN8CP fJ2CdnncA/oafId+QX7R/98N9L3W7SJuBf6AXwX+AD9CrlAvMI/jQO64HCEd /eN8ivrAL8CQD/An5gf50D7S0T7SuR8B/oX9hPyAv5EP/I3xAT9jfMDP3K73 l3yl7Qv0JPoJvw3zDTmAHQHGF3yC/LAX3K5hXPAF/wFD/+vzTSo9t3MsyM/P lWL+IUeoH/IKDHrRHl+/cjvJ4yY8zs3PNWo/QvEn9Ab8fsgHMPgQ8Q++HkZ5 9B/pwFzOeBwc5cG3vD/gQ2CsT8FPKIf2kF/Pp8qv94MU1usLhbkdRD34Qt/z 33l93L9FPsgLMNJRHvKD8pBLvo5GPaAP9QCjHow3X6cgHflhd/A75BvrO8gz MOSdr+uBYU9M49wWVuBDyD/8Ytgdff6f6X/IE/QC5BhyDoz6kR/2Eun83DLf J4H+wTqMn+tFfqQjP/xUvm7jcgu55HEofk4XfIT2UD/6AT407WeM5it+DoGf w0R7XC+a7eMpDHmFHeL7cZhPxLcRBwa/IM7A9ofdeBwC9gKY7/vDXiAdfMvP zUNPoV/QG8D83iX3C/i5WH7/GPoT9hD8ZBonMd5ThBzwc+f8XDroh/5D3Abz Dgw+Mt1fd7sDfY7+wP5zO4r5xfzzL/dLUD/0EOoDfcDQSxgf6B1TfzRR1w9+ AZ/B3+f+P+YJ/IPyGG+MD+aHx52QH+tMyA3mFRjlkB+/48t/R7/AJ5BX/uX3 Uk3jfMZ9aehfpGM8gfm5FMgD2gfm+wfA4B+ML/gNGOOHecf4Yt6B9bwrfgOG feX7aGgfdgXtgR5gvc5T/AC7w+NHqB96Bhj8gv6CvzjGuCM/xh2Y36fFeHC7 ze06X1diPoDhB5uuG41xJ9APDPq4nkO9mF/Uj/kFPZhf7r+jPvSfn09CfZgv lOd+Aj8nhPnh8Ta+H4t2eD5g1AsMvc7vRfJ7cjo+o/gS4w0/CPUCo12Ug76E 3pC/x+n4FOrj+8bAqI/vh0Ifmt5XM77LwNfbfL8ZGPWiHdCBfqH/wBgH2D1T /8jCiq97+D4m/DPE3WC3+Dkqfp4G6zGk8y/oRH74cbAjyAeM/K4yv/b7+Dl+ fk8L/hjawfoI8oV+A2N9f8Xw8xcy9UMy2Tn7TB3fRJwF48zjnKZx6yz9hR1B /2AHQA9f53I+wTjxuDDwYMP3mPZHfSUWwNxPRr3Qx2iXx2G5H83jnhhXzBf4 Ae0Ag27EU4BhzwIM+a/reK5h2Hob/TwD3JWt49mYL2CMA8YNcTBWXsfvMX/A +n6Jskd6vgz1RWm7DQx6QQ8w6Nkr6dHxaqm/YnRcCesbjjEu/F4m+BvzCr8A GOmgH+nA0Hvwj3M7Zw6c2z4p9Aww16/QJ5Af8AfsMTDWC5BTYH5Pj59LQXmM G77Q28DoD8pjXMGXkCe+jwK9CX60NXyea3+Ur8/hL6Ad+AXoJzD6JfWEcX3O 433AGEcerwPGeMBu53YODBjl+f4zxgl2nq/3uX2BfuPn9uHnAJvGNYx+D+QO fAv9AMz1PeYF+o2fc8X8YTwwjvycD+QL+g0Y5x8xPzJ/nNaP6B8wjzeiP6Wl giHwC3A7Q71PdP1yPBK0v8PPfQNjXqDngLE+xjwhHePO5ZX7CaZx4kyzeYX8 Qx75/SaMM/xnyJGO1yms71+wdH5/CfOY2z1E6D/wI8Yb/i4w0vl9JH1PSNGJ dPQH5YH5epvfJwK/YXyg76HfgJHO7wNhXuCfIx39R3lgvh5GOvQdP1eN+qHn wO/oPzDWD5Bj9BfrBGDINcYT6ZhfYDleKVp+wGf83ALqgz7gX74Ow+/QT3z9 x++z8PM40L/A/H4Lj6fydTg/b4r8PG6F8QTG+EHOgbEuwngiHf1BOvqLdGBu D/i+JTD6ydelfF8T9fF1H+QPGHqb71Py+yx8P4jbE6QD8/skfL2DdMwP9zO4 fePr6tzWrUiHf8j3LYGhr6C/YY8gf8DIj/Hi60ysr+AHwp7xcxuwS9Cb0H+w NyjH7SL0KPLjd3xdZX6NoQ845vvNqBf+JeoBht7B+CMd/g9+x/ihHDC3K0jH PEBfIR/qQz7+zS1fSTkuen0Buwa6Me7Q78C5rdOwPoB+k+36KT0XTb8Zfveh AMPvURRmKCf0egDl4X+gHWCUl/VH0iCJBdqBHQC9WIfgm9vv/D4HP1/I3zWC XkI+6CHkA4Y8YZyA+f1nvs8DftP3IhXf6/0yhbUeZumQT+gv8Csw2oH8I137 sao+fo8H8wx+zm1fGvWBXn6/GPVCbwJDT/B0lOd+OnBufj2Pa/M4NcaDv1OB fNCLwNCbPN20fKa268DwV2A/+PlAfh+Enzc0vTeaqfsNzOOrfB+T3//AuKJd 0JVbnJnHofk9TpRHPnxz+930vY8stV7L0HEhYNhT0IX4Bb65/Y5y0n4m6PUJ Xxfskvn1+TzILzDSUR/sAtY/BrgrW58DVJg4NmT/P/cvoO+gR/i9L2B+Lhn5 4Vfwc+T83R/+jgP8ffhl3E8ERv3QJ6ifv0sD/gDm5xT4uxfwf4DRD/gFyA87 ifzAyI+4An8XB/0B5vcOQCf0L8YV+hd8YfruWqbZ+VToT9hh8AXSTd9ljdB6 KDc7AAz/CesF1Ge6fxahv9DzkDPUj35DbyIdepXfj4Lf6Cvp0PuBpvGWTE0H 5EnHwZUe0f6fYV6i9PlD6B/MG/QT5pVj0AE5g9+B9jBuPM4Fu4V1HuQT8sfP xcD/QXwCep2ff+Hn1/i5bOhZvi8DeQPdkEdgjCcfd9ABvc7XcTrOoMadv/MA jH5DbtA/fNEfYH7PG/IFvcT3Qfm7oNAbwNAbPG7H3x0AxjhinJGfv0sAjPwY T36OCn4u5AnrGswbygGjXr7+BP38HhboxzhiXpAPegJ+Ju6XXTQ081Zjff9M MizpdIX5/Sx+74avu4HRD35vh9+L4fMOOwX6geEPw5+CvubrGfAx5BUY/YBe A5/y8w48DsjjBaAb5YGhv031TqaeZ/An9KKeL0Uf5JDfbwffQS+B70zfH7Sw wjjAX0B5jAP0JsYJmL9LhPzoD/LzfS+UzzCUN+4j8vvVyI/6kB98hfEAn0J/ gj5gjCP4DHKB/oN/0H9gfQ9A8aPp+ec4TR/0GX83DXoQ9gD7BcgPvoYeAT/w e9qgl/v9pv50itbnoA98BfkDX5m+h2e8Z8z33031gfFcIPJjfpCO+dD1Kf7E PGA9DMzv88FuAZvahVTtX/B7DRgPYOhPnK8DHVw/8vgZxg/8p98tUnRy+QCG /KA9rseAuR3j5/tyu7fE32kDf/LzedAfGD/ub0Lf83O3pvGZWB0vYfbHDfWg XX7ehe/Pc78YfIl+8XufGG/4e5A/HscB5vd/0H/oA/Qf7aBdjCff5+PvkmO9 h3kGfwDz9/GRH34Aj3/yfUzwLfQD+BbjBQz+4OtSYNgT/uV+TW5+D/gAdgrz xt8ZBP+Av1AOepnrex5nxZefI8F4gi5gvj7AeMFeYJ75PRP+zg/y8/MS/Lwv v0fKz/1BL8Mv4Oskfu8V/cH9PPhH8F9gxyFPfD+Cv9sB+eD3ODEuwKAL8sLj omgXfI54hqF6uxwtz8DgT9ADzM8lQP+BXv5+QW7nHuBPynEM0fsN4GOMF/gT /QW98Hswf6b3ROL0/j/GH/MDzN7DsUI7qB8Y44/+IB3lgR8MfNjoWz/j+zrH ng84vG+c+Xs6XiV9Up6MThdrn/yzJMA/XvC/Q+Ku0j/9Uq1oAe9obdc3X/Js Mbfid63P89aO7n7zJ+N7lwMG7YsLzDKuY72+LgwaaGX8OxboR/uYLa/mrPLR 5e4kHC2z9uEzvU8ZpHDEw6XfN9eJMXsPp4Mqj34cOnf+afERJ3S7k5J9Zi6P u6DLqfGw0OdKk2T67lPfH7et9J7FH2KpoqqvO706cmKk8f7kx/aj6zZcZzyP jHE5WnTk8jOO/sb7kt/bjysWbzwvPCP6Y+9XtsbzwGMVRn8Oq/z677So+s6P HXZyh6PxvOwsj5P5inv5G9/HXxm5Ieq08e+YYN6txiZm2uUY37sL6NFwQ+TB JHKtfP9SlRrG85xVDtvc858bY3be8qXKX6Gezc1t/Yz3KVumBVverRynccU/ LmU+DvfTOK3Khy1WTY1+G+h3XDR4muuUTE3/KYXrf1lZ2cPRaPeud6lyKtn/ E50Ym9SkYLlkERI9vfPNkjl0s2PokBntkkWzMWXWjzz4nX6dVGuTfdnPwr2r n0PVu98pJsVl1faf/IX34mWLVqQmiedO0x512npSeJY8/uPfN3G4+dCjzYe+ oMmf3kfUmp0pFouxq/t1DdPtoN1yPx1dOSYgTvw7vnPb4gVi6JH7t+NNSnwQ p8qLJxecfviHtR5fdev3lfq+br1z4e1EqtX3SvuCb5NEvZ6zS2yz/kqi6Orl 3VvG0OkKkRuvdv5KJYfbXWmYliFOlJ+Zr3vEdyqQNDg6OCdW9KiU8epEnQwq nir77arouLWg3JWHBT6LMjWa7En/NYeuWOWp23nNV8rxrTvz5akcGvPvh7V1 UyNFuQ6+n67djxJPH48sfMQimP6xsG83orYHTfuw7s2UacHUafOwN/lnh2j+ 63vMtdizX6Nou/8ivz2xPnrdYBd+8Ot1h9eiwJ4/Gz+pnkLPOjd/MGBHlvCS X3rBvn84DT/QyDmL1pco33Xb/SwqOWpg+ZHfo8zO1Tr3Si1wOPy5eDBrb/5a Z9+Zvf/Tx3PpnEbL/PW6Mbij8Oko7ou1y7zcKl300XaSKge23fvIw+z9tqkj b/VrvO89nfayi/ucYTzfB/u1eP17yx6Pjef5/lL5oScXqHR9zr+71cyizaKo w+D1kyISfPQ66dqi2S+Pe16kHMvBQ8/2C2P6JIyq3wtvfC/8GfUtNP/3Qq2N 52SKRqfsvZP+Wjgci48vGxJj9l7/0Z3WRxqXfCN+OZPTeKS9j1m6lxqPuw/a Jzqc8tF+i3+hhq7f86fRu4kuGXMCskWegs1vln/ymepYL3l893yqaHhj0cTS lz6KvqMunz5fLkHUkZh6K5zTLzj+7taPNOhddrvfL8WL4L4LXiadz6Tdf1sd jS6cKHpM6fC8XVok1Z+7zPHYvSjRt7vF4XKjP9If8qv85nRyV36c/bnRiXMO pIsFVQYsa/9bqPgtsFGVHUGB+msn02mVSi8+/vmIfdapYsXtsLCJ/W/R8kXt C/zi5CIuh0WWvXP4KdlPWvJycKHvosuk8g+uhgfS9NT87p8+p4g5TpXv3+uF e0Txyg+Pp03PgvYPW/VReNlmvY8+EU8FnOe79j0WJK7lzfYMdkmg9NEjboR2 C6QSf6TalYn9TGnbbAs3XhNE870epoTfTqCtsjz5q/IlXK/b9zz/kX632VW7 TIUE5XfHq/Oa8TRN9ofsVH86HEs+9+f9bDFszdCPjzYm05DgEj1uBkQL/9KL Qo/vSaZZUr6oqJKvtP/1n7VmzGuyGTSSAsql0h8yP/mq/J67u7s3tvounuzM /yKtcBpl1Xh+//6NZFFt2piPRfuk0aElcbdLpwSKVt3y/9bQOo32S0ztFLao achPdVT+Iid6F63WMoXGtLWbcG9dOtWe9mfrxgtThf3t2NHpPplUS2KaofC0 Np1G3aNPotaJCqWbVAkTJya7RNQ5/EnYDP3gFVzyndh14+zNiQ0vC7e/9vcu efOduN/7q+j99aLIe8P6xz8vYdvrXF/vQi7kf+JO9tgdT2mz5aTfL5xzoYBG y25nHH1KjaS8iN+VvBz4779KgWKZx/BlHvs+k9/GR9+9R7wWQxLmFLV9YXwX LyC2/fxxd99qObDf+Kxay4WPRZeWNt3O1wjS/mqglA/xXsnH5/SZWZEnU4VT o+A9XY5niuPDt5wPeWZ8//xf6R+Z3fNwX/p+eM8jGaLPpO3njvRLNzsvdyyk RNNuITnC5vilw7eLJYrkL3OdA8uniXxSHkU9JY9ef0+9UrC08X309dLfMrsH vv7fhc7zkr6KUCmPAvIYLf0v7bdh/VRlf+nUN1bG/aRjA8uVf980Raxp+f1U /mzz99HLq/zQkyVfdWr3MitZ+5Vjoycv2FAkSWyV/p32qy7Oafl31PlIs/fP bzhuj7rSIV4sHOLkXeqm8T100Fl900HHcU7vRSHpH5qtU1srOoAHq/wd262a W/aH3PeVX+2nD1b2wndjbPjjawlkNeHkmenfPMXsRp8yxo43/r0NjNOIAOHn knNVzAidUPHIMPPzgktGNCt3ptQF+irXCWb3r72jYs9X3ndOdJtzdsut2h/p iV3Rh06v7on/jZm44n/pkfR1dM156709yFLqMxqr9Flcz33Xmv+wk46b+vm8 yHdf+9X1tg1tPuz+Y3rzruKIz1nm5wsb0pCiVm6v6F1d95AWN1/R5W6nvpcJ uK3Xgy/ed6q0uIcP3WgwKmzBiHjatzqkZO8od3q5ZW+7CQ8i6eCyb4FPHUJp qGX6hyf2X6jm0aWlau94S3ZSn1IbpU/B5/FnChwekxJCOQ2WjPPMY/7eeINh PYv9vC6cVlsuuDTlovH8oGOHmduatjDe//70Jtjyqq35ue9J5YaNKzfsPVWO ++Qc3iLa7D63fQHncpeGhdG30Bunfy0cIOZnZbs7XQikeInJTuGUxY9abpvv of1ky17527mMektJb7Ii6vmG0b+yP3od+u7d/XoVy6VQ2KiLvkvGh2q5reyd +cepH3q+s42F/5hb37RcJOXb+N3P1XwfaPSAgk1vV47R/v2KEhahDfZE0ZCF Dn6ZRYzvgUMuIu9FNOy06Ud6m5zt4y2N74E3s/mpWws34/vfiLuJvRMsbzb+ jHSzd7wDTevT6UljxML0EOP5R/j9c037p/P/2nb06dZ/pVFg7Rlp9UZHk1+D bYkNjhnPP86R8mu2r/309x2pWYOS6Je/gv/+WNl43rFE1JBtx6tGa7yu+7TJ rQa91v0ouW+x59ATmWTTvfOp9aUTYR9pqLKPBc6/c1lxKkfr2a0VW4x335Ru dp6xy9CC9S07G9/jPlGza59ncSk0boaH9fU6xve5x26POpQ/IMjs7zm2mXD0 3MVonV/HqTNs48ZOW51Gdsu8LGe3TiUPaW/JU9lb6Ee3vQGl/bNS0F+z84lT sgus7J2ZTiUrNW1577PxfnvBZRv/+T05xew8YtiOZo6b5hnXzU9KdKnXc2Q6 HUqzvdrmT+N73GgnQOUfGdxzXOa+x6KOy97J11dl07pj3l/OPH2m4zEdd+07 18YiSJy+3n5ir5Dr4qv0L8Sfyr+okHylacEGr8X9zBlb8/T5SgM6JCzq4Rwp 5q5dc2RHlxjxh7TfVEjZb/3Ocs1vWSlpe6iiQ8vPVZ2fi+anV4Re2n/OuO+h 0vPJdCqo0nfPyL7R/1uY+Cdk94yMg8bzwhHzyvVpddJDHEvPXFSxaZDZeb8r G9eXfjXUjap8K1Ot8PbXen7hn59W/nIL6S/rOKXtzTKbF3vdEZV87ZPT08Jo /dk/29jeemF23i5I6c+dsn+0TfWvx6YH0Z2jXlF6/hbNz1aPoUvOtrHDaxnP 4zWX9VN5VX/eHe5z7Ob70Mxalervmv3Drlas/qC7rTeNfOlkeWtjJN2P+N/1 spV9xISJmXatFvmRawfXiwtbmZ+XO6n8h2PSHzF7/9hT+R+Ppf9g9v7xFuUv BL2Lr2iTZX4OZqKy5+A3J+UfrJP+gdn7yELZ83HvNu7pdNv8veR8E7qkju8S KRpGr2kWveaL2f5U647L619u/0rr0Ypq/XNErn/0fDWS5c3O84Wo9SLscHrd GR+G3vbSematqT3XfmHPZ/mvlDpofj7Pfbi07/Okf6Dzgy+azS5f5nz0VRoR s8HZqYyP3i+CHilkaq81v7bNrFO4waI0s/NzFZT91ucpt1XcmlXEqNf/UvYO 9I5W9hF6ItzUHmt7tnt9t46V92aZxWHrKvus7JnZebjByn4p/a7brd9wk8PW i1lm59+eKH2P8m2V/sV89rtQIGvNUK2vzM6xjVP6sJTUhzp9ldRX2s88NTVz pE3xV3rfySZP3Jto30zxZWc7uzODMmmExBSncOLCWQtb9jC+N4z9C58zVjFF LX3Fh5PZ3ct2e633swbL9QlhfXKw/OoI71PG8ywK6/NltOCfAe4uETRl+rS1 x+M99Tno169ivdMqGt+HC1FYioW3Xv/b1lzddt9HR/HrKmf/BuURH9jRCekF ZTq1MEl3u5NH0VGgwzIfjzPG93BXS3uq+T5Wrl/opFq/DJPrDUpS6w1X6Q+K 08ofPCD9U1HwT+mfUtFJxd2yXosny0c0Kd3Qg95L/0hEK/9ohPQXRWPlL/pK f1IcV/5kG+k/iDfKfzjw0nty9K8R4lrFCdtaPIqivlJ/imylP7tsfXLtVn9/ sc/jQ3DIqRgqLf0BMVL5A5Wjp9rNW5MlOrXI/Odu2STKkvZY2Ct7jH2doOod btzpFabXO/WnnE4Yd/+DODGpS0a1GOP7sy3tP+w73O0Enb1qs8rp5zDa6JA4 4PLGb/RbsecFfp6QLQ4v3Ffg0KBk8p7w8xSrid+FRZP/FqBf6PbaDqfXdvgq on+uFFty6A89+/ir97aPPuJl6UZvtr+MEetWzytcw2M3/VvWY1SDHu+FZY7V lIfkSMlxDlsjPiSKYvm+ODcI9qNZ1TMCaw+JEZOGNjvQZ9krOjDw3Fnbd9li 1PqkTpO3fKC67v4X2p7IFpmpG8qG1v5AGS6PYgvRV1Hk4JwGCasjqHGVMzmb myWKsW0337BZ8YFa/OjV6QmJIm7ejxVyyUiKimg633neJ7H+26a0Zl0/0I6L ffYUWxQjxk+6ae8eGUkfFt3Yd339d/G4ZfD4G50/U4uRB1fmuH4VFdptebJr ShLN//tl87hFieLirQfJoyslU6dRzpbvCicJr5WpR/MNTqHtl4uEz637XXzb 5jZwYMg3GptUrH2n/TEiZeBPhRtbf6OATa08u46MFb9lFKKgyulkV3fp2pY7 /KhU29vDv9/LoKbFbi6rU86HojoGO9VZ7kcv5PiLdWr8j8jxF35q/G83Noy/ 2K3GX8V3BeK7t2QcVjipuKwt3d7SZkCOPkfQRMZ/Ban47yQZr6B6Kl5xQcYr qLWKVxyYmPxyfz0/ejX/4ZGuO4PFshYD0/1qf6bwSpYvbK/5iw9y/gnz7yXn n8qq+X8p48lU7bSMJ/fq3nj/iVQ/mn7c50ydjJvU/P2Sshc8H9Gv1s193hXx pvo/rbx7oqIn3XwxaO2h6t5kJ/mDbBV/JEr+oUKKfzxkfJq2qfj00v1fuxf0 fUg7PY/Ujfv4nj7I+adVav4PyfmnBWr+3WV8mhxVfPpfKZ/koeSzoeQvGq34 q6PkLyo8X/JXGRnvpkMq3p0u+ZPyK/48JueBXFR8fJKMn9M8FT/fL/mdwO+1 JL9TmuL3BzQ69FWE8f3kcMmv5K74dZ7kT3JW/EmSP8lH8Wdzyc9UVvFzTRlv p9oq3l5b6hPqqfSJreRfSlD8GyT5l6wV/+6W/E55tkt+nyP5WRRX/Jxfxuep K+LzMn5Px1T8Xu2HsPtAmfSbiBne8OMPO/vLgcmf4rPpdueuA9fF5tDm8RbD XzQw/t1v2zqjfi85xPjFfmDP6nlm+04M035GcqPx396ufywS/h1sHdsr0uye /bTo5aVvRruLaMfiMY7FfcXWi2lbLqZ9pMaNV710r+RLH1rcsJwYc19skfwk 9ih+Uv0Trqp/1pJ/RTvFv1Mk/4onin+LLTbEv0WeYjL+nSL1rbig9G1f738G XCz2wuzvg7Q60nHZhN8iKWH6x5DmrePF7Mxy/TZc8RYqXq/XWQ6P92xodsr4 97OHyP0FsUHtLxyV6dpPiW+0MrR2t1Bxcv/IPf9UN77/ar/h1wI1nr8VN/td jSp4JErsyVfr4d2iEcL3gX3H6SkfRcmULIe+iz/ofVHEv8ZI/aLPJ36YUHrK 0dsR4k3NmZ9+KvEY9ln7HypeZPZ3hCV2vdPmfxsOZzhHiPzup3x3zr1FVYrY 7/7kbHzvdeyeaUk3r7wScZstT3yLuq39YJF96rf4z1fpxY5dsS55fXT+lrI+ +vBQ1terwO2ZtYPeUmPn9Cz7u8bzt50aRJZKKeRNNeM+3ijZPJqGDfyrxl16 qdcxGW17Or728aEtxxpsOTYlTqx49235u4Wv9Xq0fGHrstfqBlKce+mN3gON 78Getbc+N9QjQpyrMffMkPlBNDD/0zmLfo7Q6adkOv2r0jfI+mm+qj9uf+Wg jqeiaEh6kdnDVuh4kPZn0b9bHl41a3lGUPB//WmdIP3O0PeIL5m9H3vfMiTc +a8P5LFoSfNu/wsXayudrTjwb+PfdZnQo+MfS7IiaVPfwfdWrH+v5eaBzE8r VH7wIeJD96W+In6+0lrJd7bafzB95wpx1QRq+Xzd1rijxr83W1ruJ4jBaj9B lWfvZCXob/XZq0YPuJdAs648bh2wJZHGeXdfHfNLqs4/rnnBCc0DUmlQZ/8/ OhdIpKL/bHNMG/VJxw2mndky8/uDTxT0Mt8op8mp1GhmVMrrEsa/B1tU7geI 8Wo/APIz/bcB/2a3zaEntYc/bP8yVcubw8Ofa+cp+5XWrJ+Tp9eKbOpls8Pl VSVPmiK/IuzTrp++TH1E2xJrj//cz1OULdZp38frr83el/3knndxt3WeZNGp 2ID6B0J1XOB2oejYCln39L1F6LlLnj5NxjZ7QTMjXY8VP2R8x8RZ5tf3kSCX Gx3mW2yyChXxUl/qOAb8xN5KXyL/gw+T3vW87iEG3t/fwX1GKLU6fSnJP8FB 3GmxZnP2gLeiVlQX11VBYWTfstssjwbG92Cx/njrm+pQztL4DtzLyeMi59wO pSTD/neoPn8yW+7Hih5qP3ay3D8WpPaPx8v5FEPUfD6ZMLVL6Kwvoswf+Y+8 zoyjUt5HxvwzNVKsGnKu5e53cfS+4OuQ2XVf056044PL3EikEz85tQ8cZzwn flfuP4vjav95uuQHEaL4oaKMB5GHigc9+blazSonoulw1tSeS5sm0/X9oUUn bk0Wdarv9B4U/o0KuB8/kf+F8f2Gy3I/WqSp/WhHyR9iveIP//Hhg+ybp9JW 77uFQ3/KpEFlWv/4916UzFvzxz9v0atjMTp6IEyUutCsbHQ5HzF7SGDkk3Zu FLrh3cZSK55TbNTyblP6eopNFQtfDfoSKla+2hGSkeUhKjcIHbmn7lsxVvEd vsVjDPwnVij+2yX3n8Qbtf/UrNC9xoXuRdKo3//7L0aUmhp5Nu/KaHH1moPV wPZnxQd5vkTHHbD+eJtw2SqaHLTdLn4u6NjhX26JswPsbQMfRmm7LaqVqLtu fqio1van/tO6OLL3XG91KiPlQefv3aZiidQykdpugT/rDJ0/za6fG9WV+ltM hv6W50903AL9K9FO6nP0r8jBhMkPHJ7QwPAmB+/3jtLnrjz/iAp+WjdIt6f/ Xtqq9MUhI9yoTPNFTeL934prw5avCbr/HOdhdHugp5+yL3qfOn8f+8M7tDzr 9hR9Zu8I5Ff0IV50aa1/vgDPELkOb50g1+c/9L1+T0Hp9y1l3/ifyvmi5en8 0DMvRiYb34/F+Nns7bk8ZnEwxUt7I2yUvcF4PVL2pcxfwxtGOBrfk70g69Px Fv2OpqpP3ztS/XUcGzLzRO0kcSD1apZdvSi6sHz4oOvNYkXEqUSrmZWjaK/c z6QFaj/znEyntyr97xbRN9uPidN2r4SUb1qq5NtB1k97VP3ldx8IfBtkfP81 dUFCre95U6jlqMtvh2yL03rffe3IlL/af6EZ1tPaD5xifP9VnQ/S8YR57QNO ZD2JElfu9T0U4pNIj6T8i71K/sFP+zzKRdS2SaAmh20ud5kUpc8HBsr9WRqo 9mfV+SEdv78m9QfVVPrjSLB1uEvVDLF+Zt+ue+en6/Nsv1s061ChYhr5Sn0h 1it9oc4DmZ37ztp4sfajNjk0UMbDqZ6Kh387UH3i2GofRYNz5/a+/fee1u/P bLodLLndiRYZ+v1ItDAERo/SY9cuNxe38RS941y3pYQ4Kn/ikbo/cpQuy3Sq r9IrS/9NxweXuw259snqPQVZWb88v9aRckz8v013rrSpW2/CufdikMU/05zW +cFf0nHuizKdeqn0nIlVblSbESY2b/mrd9dr4XTxnd/I1CK+VHhO2vGNzYzv MG9X9g12aKipf6P51nKSoT46quqzl+fFzM6THlP7T91lvIaOqXhNx/59ku/9 HEvOEfV+8vQJFu/tk9qmH4ojfm/t4wETfaPtuZIv498lkPKr8Yd3d1bbtU0X k1wme9b5nCPOnf66eMSrr2Kp46GzCXez9H7pr99b2Wx0zxJnZTotUungs2Yq vdLZX8d0CsqiqKHPHB/WTxKxI5faLc0w/r3v6+q8T8ucPCOmWSaLrv9rNPTs kFAqkq+gZcXmr4SbPJ+k/XD0842KL1byuLVjUNUUEZC35oLI5UdIxZu1vcC6 odUvw563f7deFJP2hZKVfYHcvkiU9uTL3m4zx79KE+mlnmdFbPZDPFnrW5zv rPTyQd/Avd70bMyNrLUVPoujeXqUDut2g5qXel1s++w4vT7Yen7K/QKXnlGj M31/znLyoQ1y/0PHp+E35ckIsbC74kuPZX20QtXXQtan+bv1/e3WXk8SyJbq JHzt9kL72x17Xpw19pY3zQn75uvklCXWV/b03Do5HPFpzZfwl68dHNsxZlUY 5Wv/YNCHrCRRYeLm0BsHgyg8/vPZW7uN761a7Jj+tdVxP9Er/63Bf672p4r7 wwZZbza+r5q23ZBOViq9gkzX5567jUqe8KhiGPV8MrSZbfNwohpbyzZuGGb2 fmpetb75LNc3Wg7yyP5RSdP+6fScZ99t7jZKpVdVF9XvVPE99sN1/bjH0WH0 s6mLRobTkubeJ2sP/iaaRScG5fkSqc95pMR+2lMk9gM52hY6POOa8f1UX7kf q/dNwE9PB2ZODwo23h+ZfXBn5JQDsdj/NXs/NaTM4qVtHsXQItk+NVLt63tY pu1rfdGhqfXBP3/o5fhVjdrXeBZDyXI/3Owee7mnn5qsvhlH+/8enDj8fz/0 +YA2r+5eMt577lVrxN9rbOIpz5Eezk63jffmxo4cXOGdS5Y4evJ8dI3+SdRA 7j9oezRb2iO6pOyR2l/W+xPN5P6z2XupQ6vRgwzbJNor+0OrVX8QlyHVn7yy P9oeOm1PfjbkZY5Y6np0eMqDFMrb9WZLB4dvImjetdMVXiTTp/DPv63/65vZ +6ev6+1pv+ngN7KQ+SnANL++D3VvXP4le8alU6ejGeunH/2K/W09D/tb1Pnp ZEAKjX/xJmVkwwzsF+t+t1XrR33vpr/hvJ7oo87r/XvrRHTfJ5EifdqJM0Er 40Rvta6D3Qa+qnCE1N96f6TNpYX9ilX9LKwr/DnP56S/eDbgwNYuT9O1X1f4 1yEtjtp+J0enQj/+L1DvJ+64vWVk8XdCvHUoeflvrwC9njS8Z142QL5/WeE7 vZn804hpV+P0eqH4c7tJ9ClOrPvY5orDvGxaVLLIhvN3I/X9Dc/zowssjIgU Nr4n9x1qYnwv9G2R3S71rr4Ti9a3fj3y+RURGNV9ZtLRd+K2u8Od5tZuouzv jcttyH6r858oV2aIfXMvcd5p8s6Jfa4Ju/m2o8t/fiIGP/KxunRbiDnzt0+N yfNE680zKv9YmZ/mqfzVZH5aqPK3kPvrJNT+er+ijsnTGwZq/j7TwNnXomeg CGvnkHEi7jN5FCv9rPqXQJF28a/5TgviKSMryXfGd+Pf40wfnDLnImWJfT5D fp5fJAvpxr+TJdNpr0qPO1x23MxgX3r7q0vKznr3xfrhrX7ZXd2fHBNSC7w7 elc8qzo2ofWb53RsS0en49fd9Tr5cEB48/RXD4Vlrznles2ZLw7VeXCwzgMv HbdS+6uU5OqVVdLhsegXcbnIi8xwfV/FJW3OhKj1Rr8H89FGzgdhPo7K+aDy aj5eyvUbbVHrNxu5fqNqav2WYeAzV1HCdX4D6/AwGh1ydYO1zQ2RuGB7l/zH wsjqUNAfxZ2vi7nHk0q23h9Gx/ZcFZVvZ4uEv/f4Fvk7hzLmV1881sf8vc7j Kl4wS8YLtN37V5YnVl6/12nxdFH/mnv8qIjYFlvmh90e23dx4emV/Mze57RU /Y1+Y+gvxaj+lpb9pVmqv36W19rNrRIrno7P/N8vT4JFnSYT35Yt7Cvs7m2u 79TkjWgj47MiWMVnS43ounTiw2Aa9kfb2vfool7XXI2+8ceuNedEWoHLhTzy G/9+TSupH/Q5K0epDyhR6YNtMt6s9UGFAm+tLj38oY98vscu+SVGPJXyrs8b P5DnzkV+dQ69qJR/sV/JP/TG+z6Dil1aHyT8AqzOFa3lJ87mX/DAe0+wKGxZ /cXW7FeiydBLSa92Gte5l3qNT6u1+6l+Xyp52IcyB88+o3vVrta8tOyWmLa2 T7sOk57p8zEvTdcvWr7GDJ02tFUT4/uYuP/VI+Z8oZSABPozevm09MAgvT55 v38MFWvxWpQ80qPx91uJtGfw3B3Nmr0WoxpPGD3vaiKp86I6npbvwO5raQ4f zd7L3F6mnlXTmilUVZ5H0euszyf7FXDrHSQSL0+YMf3ENwqT+lDvdyfJdIpT 6RXkuNI1db6/j9SX8hz6D33ZwW/ZmKolUszey3ywpVOJdkuy6Pr0euWPU5zo XsorzTkgg24EZvV7uC1OWDz90mpo/SzoWx2vuynzU2/T/JTpJfPflPcLqIS6 X1BC6mfapPSzXHU90/vTf50fHTa60UKx02dayoSrXsa/i1nHIdPl0C3Rv1D7 ijOKG9/X7JWv9fTlXS+ZvQu2bOVLr/YJXlqfnFX8MbFMZ/dHkc+1P/R5u+F8 jRitztcMr7CxUMpIb/FgYPLUcZsjqZGsX6+LIBdrVP2jP41Ptay7gGY5PJi7 444XPR7Rq2bxBo4UvbYpzY70otZzZn/rvjBIVFld1zt1kvH9zINzdhxufyVT hMv1Cf2l1idR0a0LrCuapu/FPX36xTnN0/j3SA16ZG+GtP/n47Wev5BVLuhw XIKwuVXt5OQuGfq8TJg8r6DXU7HyvKjYos6L1op9ZpfsmygauLwIafPLXfHy VZ52G+aav3/ZtOzkxCdfH4qcKsddnR6bv38ZrOx1ubf/FnWe+1Xs/7dcSouN HvS/35osvtfum9l7l6WnNd9YrI0bDT/a/dQ4V+N7lwkx03v0vvjF+F608kcP F2v3S6lzd6itXC8IO7VeiJL3o/R6Bv3tq9YP0Fu7YhpM2fDMk+y3Fjg7eZbx fcyMUtVOH++YIWz6XDqdr00I+d93v+XXJ9PsPcyheRZYxrwNotrzQ47fdDC+ fwl/7Tfn8a9+PRBMeZ4b/HcRpPx3fd9b+evQPw0rrPRY7/iOmo29OO34aeP7 mA7T7LqsaOavxwPvpmSvGHF9Tb8ACpf2k3op+wk61jWo87vL7Qha4fr4UHtb L7P3Mu0+D8t0WRVFHaX/LVKU/w36flb+9umpg6/PdTX+vWAVDzL+PeClyye9 yJsing/eN9z5h5zvPLDBUhRPEZ2WOXT2vBiHeJPZ+5lP1HrhkYw3U3EVb1b3 zcze1xyn1h+mf88lnr6MenzmeeAXs/c1hVq/6L/Hlx3x8VR2AvmFvNn29znj Oxw15H6HmKP2O8Avfyr/3vS+dAJZJlUfcmCn8b1NxCO2mcarzN7XLLOkz7PZ Tsk0rPy+kN+rGt/XxHy8vHvgz/KTU0hI/12Q8t+Dl0a4X/cz/j3lPzf4lUlp liRsogodX+ycQqMlpmEKV3UoMbDnCeP7mOq+ndnfQXip1hNqPUJYjyBeUVr1 N3CW44Q5R4zvYR6Q6wcxUa0f/pr2S+2Ka4zvXV5rvbFFhm2seONboXpC43Qa e2Di3cpFX+n1RZdve2OPV43TWJXX6zw3w3lF8/csY96Fh167fksUO2LwR8Ud 5Y/+Lf1RsVn5o7byPK6O06j7A/ocYgePrEHlz0WKZx3yXvg0JEaMOGOwLwT7 0l/uF1AFtV9QT+4XkLXaL4AeLDnZ6U25nHnKXuE81qxOMU+nNn1e5bJYtCW1 /wL/OdTjYfFOw1u5iYlF/S5PO7WTdl2tuvh++BVhkdnO7sWBxdoezZr0f+r7 UQ++LrI+ytws62si66OWqj5rWR91ypD1Qf5HNem2sNIGJ+rZsUXinWqPtR0s Wnz5kIHPPbWfHTnza/DkGYFUplaZPs3r39fvR/RelRzj9fAhff+UeXd0gvHv DzvXj7Nu+sP/iMwc3fdbzmtyW7Aw3X2P8f1L3Ht3Xjq12afPwdrOtKlTeGjB pUFULGNKyymrAs3ex9yu9NUqqa/0e5knZHsUotq7L9vT8XLUc1C1p9+5MW1P 53OQ8SrRXMWrcC/cUsWnENe5XrDbnS3nP9FH97hPdXz9qKG3T+NV7tHUYMqp z09L+lLE0yZFDn77SJb1ttuH7vPW73sM2FjnVbK9j/A+Zzep4i0/mtW0UKmt 9iE0avMkr8bZb3W/a3++uviLUygd9C967vxi8/ctn/d9PaXJqDCKlPbf7H1L B+UvVJDxRxGr4o8vpH+g7fT6/idrRnWJJ2ex2z/pkbf2a63Vedkkeb5Rz4M+ x6n2m87I/Sa9n1pD+gdkpfyDF9I/MHvPcqDyD8rL+CUtUPFL6B9qIeOVeaoa /ActB0+r9e8xONSHZlH7R3ZpV/Q6qm2D7kV357lEidIf0Osu0DNM+QOwDzNM 7bsxPiz9Edqk/JG90h8xe78yZar0R+JkvJQSVLwU72AUVfHREdJf0Xx3VNpr s/csE5W9Lp5qUbyP91u9f6z8B7N3bX5R/gPsRCVT/0DHs9Okv0J/KH8lQPor Zu9ddlP+ymwZP6V1Kn4Kf/G8ipeCvonKP3CS9t/sfUt/ZU/HyPgaHVHxtVfS vmo6hkt7Z/ZOz2Nl75R90+N+VdoPClT241rC+PpO941xwENyP4fWqv0cZZ/M 3qvsrfZ3PljaLW9fMZu6dKrrVGKJ8f3JmlsCq0b7ZdHpVs8alck0vkdZP6Rw 2cWDjO9R4ves39wL2D3PpsIbZxXeeClBBI5+7j/6uaeIlPULUvUjXlXHtH79 PmU9Wb/eF9glfxc5qn6p94/q9c9Gin7WdV22iDz0wnF/yxzauDziTYM/s8W5 R/Mt5sRnk0onpG+W6XRepRuq35VNV0+c2nmxj/E9y40Tang0mBBGGUVs2v3T yvj3PR5/9x7x85IU0aHAL05h6zPEqqsU/HPTJGGbt1mefVbpIrn/lCi3T/HC zbp+t+0fv4qVMp1GqfSnNUcdCakaTRv7FPnZ7nSisNn+l+2XwuliYbMnk2es Che/fgiZXKFkupjy+NbLZjXCxRGbOV3tT0fR6pJh1eqVjxDW4zsfspuSKeJX PtoZXN0LmIqvknjotMGdyi4Opw5fs39zenKJitvO/LXK3XC68H3nvFXJ/rR0 YlmqXjJApHUYtM/WL5Y+bj3387wh3qLL/BKDLrbPolCJyUrhDb7OB7K3+IkB rnN6nFwbTafrLFg2bftr7R92tDszwzHknXj+T1K2e11fsaVzcJNJ+4PFxJSe hasVDNDviWJ857ZuXWNUDzeRcXJ1/1Wzn1NCsRX2vZLvCevw+SdXNn9O9w3v YxjfyfKQ403t1XgnyvGle2p8X8rxFFvUeE6OOLvSSsTSW5e5g9dNTRGVZXxF dFHxFVs53jRJjXcbOd40X413fxk/1Hqzao/guPy/v9b+5QxZvwhT9dvL9aV4 q9aXeK9kZ6eY+r8VDNPv3f2t8PNIR49Hi0IoaEShQvuGP6Ebrs1CMosY3yPb 2ub4m84V40Q5O+sbS5sHiaUyHqvjHu3qRixs4xmp+zf8vceI9x7Rej7OyfnR +mU9VZz4Zr/x3dwRDhs9Xowz/n3PYkVthe/9bGoUM6fy/IuXxLLvx7Znzr0j yvz0T5sqK3Io5Or76vNnehjf9ao6ZdLoov76PZeF0n6Licp+432XPi6fQ/K1 C6P/ByRo6+M= "], {{ {RGBColor[0.148, 0.33, 0.54], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNlktsVlUUhc9/+f/e+987YGJEeSVGtCQ1RjShUFItpZC0E43ySHwhohgj Qo0mYmJgXHyNTHAAmhBMY0ujUgbymJA0FGEmJqZhZpmIj1LeQtD9Za2mDG7O ueeeu/faa6+9z3no9Z3P78hSSnNq8XhcHM/hmNdaUsri+TLebzdS+irm/8a4 McYN8XxaT2lfi9b3x/69MX4ST0cYPJantDz+GyhSWhXzeTEfiXl3jKvjmR/P mti3pKZvp2PPoRh3xXi5Lt9nw+aiWMviOZ6EC3wnknCx51zM/4n9owH+SDz/ Bb4U6z/HMBj++mLtVlOYP6vLzgfhdyjs9MTTGs94C8GmtCfGJxtaH47/1sV8 JD79Gvs3x/t7meIn5q6afMEBOOFowJg3ZtoDJ1lg2BnvWZnSN4Vw3Z8rbji4 lcQRXD0d67tbhO1ukr295nOqkI+XIpZ5ueJ+P9Z6cuF9s1SOwLcAbPF9ofOY Oafwhn3i5J9a/HM68HeFjT/rinkont/C36V431MTL9g5YDvkYzjmJ0rxWC+E E2wTadY3e3oy7YfztYF7MmzvbMpeMrblheL7I9cIp3C4uBSGRTH+lcvW0iry Fe/Tsb6klE7YS1zkllzAL/nHTofxgfNoIf/ESYwrwn+7c0CcCxzXaF25IS9j mfbx/m4mrrbH2Ob/yNGzYWtTppy3WU8HXDtwctZ1AUfwg6/v7O9YxDCAXp0H 5tiftpbRHrnYY2xon/WTMW+vZHfCNfKt97ySa//CUvFOxp6vk2qurybdsnbR 671eB/MZr4/7YR9cDViDxAK+C/HeGf98XkqHj8b4ai5/rYFrWUM6gx/wgptY rmbicch6zKyBLZnwEwffdlufD1ZafyIXxwedl5uhoa3xfqMp/AutOXyNmp9x Y0dndxqqDfrL702Nk01hBTPaZO+wOYej3ntqqNf80BuIjVrFP71lpoehG/rY 3KYwvJWr37HWEfPhTFpBJ6OF4qN20SA24eqg7RDj+tj7Wjz9mew911BccLi3 IR4vNqWlj8PO0lzavy+XjaPGs6qSrR/dC9fbJvkj3+iVuqGGyG/VFA+bw862 XFp8qpIWJt0f6Dvknfxj44K1BNdD5hAdnfE69UqtnvT6pPUF9kOuhWuB6VSm Hos//L4QWLpzfXs5fN7JxfvNmK+odNa8GHsG/d8XzhH9bZn7NHx3uX63O254 PZ+Jhz7zQR45m9qc67ZKe3oK9R36z9+5aqXXdXQ909mA/8cqzdcW6g2rrVXO RrS33/U1bs7Rc72hnKMB+gz4l3iOjfO2DT44mGiIo4eD96ng851cuMeswSt1 cQ3Pg8YGL4d8fsPzpUxaBM98+77rup5bV764ELQbz7ZSnL4RY0cpzCtj/DAX 9hWlzsZr9gWWc84FPZC8oxV47XZc/d6zxjnnfMTnykoYUqH/pv0vvX3KZ3dR iYe8km65h8z0/40ts2vM2X+kkOapgzWFOCW3nO3T1ipr1+/hetD44eyOc7cr n+0fYHm7Ifsf5epR9CrOmavub33WwAH33m7P0eZu6xP/3F3oW63W3l2fsxuM n/Oec+RSLl2MGdscn2ucw2BBn8d95m7xuYv29vnORj+gLxw0ri7rc9hnFzEO uU46rQtyQq87Z17wS+/hrGIfeSJfP5XK/Q7v2eGcLrcf7N/ynYCeSs/v9FlJ vCM+21j/vhRG9AUHme8th91fRtLsnQZ7l5uKbaqpfdhB/62+Y8A58Xe5nz9Q Keb2QjkgTnDe8JlCjwHvJmO+4D4GXu5wxDWnlI/L7pvrCtUaPaC/KU7Q8lZr nD5M/77i2sQm9Uat3Z65Hxbq3fRw7onomDsM7xO+X3IHJEed5g3dcT+Ah+25 7D8S2B73eUOsvzRVG+ebyuOYMXFm0H+fce5OOX/rC/WIDYU4hdsfSvUOeITD /wF5gJgY "]], PolygonBox[CompressedData[" 1:eJwlkztoVGEQhefu7s29e7dIZbbxgW8rFYskrvjIw4A2ikYEUWN8RMSQtbCx sjZimVIsRBHZwkdSGDubgNi5gohlbIzP+CBBC7/jKQbOzJn/n3/OzL/2bPPI RCkidmMVbCGLmEoiSh0R9VrEqoIYxFuSDuQRm/BfkbdIbDN4DfYJPF+OOM3Z DYW5H9g4/kr864nvWA2er0bcw3+IfQDvI2cObjKNeA7fwK/DzRD7Dn8Z/xv4 FvYafwVv+pv6jjm4j1iDt93kvb1w2/Hvw40SWwafqJqbxHrg3xM7zPlp3tsJ t46aX7l7EX8Mbht2nLOH8Fv024O18BewYfBJ7Bd4BL4PvIf8buo1if3BH8Fv la2JtLmYuZZqqNYgOW1yzxDrB0/whjvo2Ql/BdyuuteXxLZwNjhzI7VGCXgK u5Rak/XgcuHaL7AK+GjVvQyR086sgbQYxD6DnxWuNY6fUH8GuyqeHqbBy5w/ yPlzxJbAS7mxZrKL811oGB3WvBvuS+a79Sa9bWPh2Utjab0Tv5JaU2mrmqqt nmbherG7iXMa4P3wb+B/YwPknye2I7XGs/hP4IfLfuOD3DuqXdVO1uEfF94d 3fmo8M5qd7UT1+D7sJ8l91yGu1C4d9UYK6yZtNMMa/TfrHq3NSPNSjPX7PXG odw7q93Vnbq7K/PspJG0quHfDu+sdlc9qTftwADn9xb+C/ojpzLPULN8R35O flYz1s71Z94Z7Y40eJp7R//vKvxW+GO5d1U1VfsfQ7l8Qg== "]]}]}, {RGBColor[ 0.34794569816643156`, 0.4259873060648801, 0.6145303244005642], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmHmMVuUVxu8333bv/dQ2Ubak2lgFWxfKsKgwiMIUtH+1oETTsNW2Uysy wNCSmKipUJJBdookTbUZhyWtBSzjUsVCyyIFdLQydIfBNBbQFloopINA6fPz PKT94+Z977nnPe/7nuU559xrH5w5obkuSZKeQpIUNX4tT5JB5SR5UOM0fTip Z62+/SNLkp9oPKGxqZokCzX/jHhu0HyP1l2p8Va9XywlySiNNQn7l57rtP55 ffuL+BekSVKtJMmjmp/TmuPi3SSejXr6aH5W4x9Fnyb+Y5rX15LkvjT4b9O4 Ujwfif5n8XxR7xNEv1p7/UZ7vKNnlN4PSf7berr0/mg1eOBt1HOn5o2i3aHv I/W8Wxe8nXr2a75fY4/2OCj547XPK5pPEX25xmV6fi/6nlLs1ZPEyN69JXdI Id6Zv2s65/mZzveE9LlZ4w7Jnyx6L9FT3W2fZJVEf13jL/RM1bczOt9Ejd06 72+z2Pt3WegDfaGrm7XmrOYDNR6QzAf0rJbMgVp7XufaoLUNdUFHV4PMz7pZ knWF5s1ZfL/fPPWVoOdat1173Kf3JzSWKjH/rnje0zjculpfFzbDXiNEa7DO 6/0N+nKdaY3me5PQN3rHBl06Zx/Rv5yFrviGvm6vhcwP9b13LeT0rsaeI732 /VKcj7PN0fwujW11wTPCZ2vwHP6nCvF9WxJ7wPexvTQO1XO9aMMKcU/uCI1v BdGapK8hst03NNZpLOhZKp6B2vP7Wne3eDLzbxF9Rhb0ZzW269tKzftqLMge rVr7muS8Kd4WfEr86zQfVAmd13TPVOPENGj1ps+pizOckZwX09DxGI2zuIee 1kLIm2OZT+tsV4q+qhhyruJehfAb5m3iWZJFPC7WeE0t+K+uxV2Q+VPx3Jpa /6IXNR8p/tE64ymN3xF9rMabioEV0MCIudZJn2r4Xx+tfTUP/rJk/Np37CV6 QfTdsl+isc0+zJqf671J4wXx5qLVbAvkPoxtNT6SxfyieL6n79NN50ysrWes xHrW3lwMLMMWW6qhy69rnyfLgW98m2F+7n62GusG+QyZ6WBXavw6redbxoFd lYhh4ndnJUbiHF7WEJNzxD/Jsd9qv8FneIcXv1pZDNyZaswpVwJ38DvkgJnw TjH/lHLwgL+VusANeIjBPyQRd583JgzPIyaGOy6W4Mvl8J1L/vGC+C7T+FXR B4s+TvShev6dhO/AA2+i79s031oMP8LXBxv/wEF0Mi6N2B6dRuwOd4xjr/n2 7b2lwFP0eI9t3OBYHOa939J8sc/ZbTrxy97sRcwu093e1vic9rog39gumecd iw/bJ98oxR7In1oO3aG38eI7KVkTNK6QnEPozHG6rxJrDhtXGgsRH5njbnMa /vYf6bhFtNmVyIucu9F6e1KyPyiF/xxMw067q3H2YT5/sRz4gk0f0Lcj4u+j M+wsRz7qFH1AXYzgGPkJOmfdUAmcxdbEE/ckHpZor0zjHsn7rJ6loh/QHT+d hw2nilaT/A9Fv6C1t1iH6LK5EnRy50a9Pya+DeiEuNZ8puYVzRvF84Ms4of4 J77wm9OiryiEj2ALfOOGPOgD8vBn7otfPlIN3uvzuNNZ3wudoTvONsx1BfXF +mKch1jq0d5bWZMF3pEbyAtNxuTMNiEHoDfs1GSMIZ4KPgN2Xmv/Q3foED9Z 4XXoHR+EPtK+tNvzTsc+9v5TEjXMbcK3rizsMr0aOAi2/U3za7X3CfFflkXO n1+OeG92Xp6ZBZ6CZWADMUKdQC1BrcC8mEftha99UzIP6ukvGf1FW6TvmWTu KEbO2W1/uCkPTKGm2KT54/r2Qh74gu+AF+DkvHLYExzpJ/nPaNxcjm/kszvy qAOpB0/b5uSdxmLki3rn0yGOU/BsivGQWMyM1a/ksdfL1D956PKuatx7nGNn qOfgOf74gX0VGw81vaMY+iQeiYVlhcDVv6dh94ckc1MlYp5v3JfY587Qppk+ sRg5FJwhXzU5x1GzjfV5tuShU/L5oTz00q3x6TzqiBPaa1E5bAam8YBvPa6R yN37jd9Fxzv5sFwOXY+UnFTzhjzyBfaHZ7/rO/zwou2LDZZXIl56XBOlprPn XvvMOz4Dc3x4ibF0fCH2QP6Yanyv1sLn+7te+lIWdRr1Wl/nCXLEJ7Lgwe+o rQaY/zrrAX00VCOf9UhXu8qBZQNcG4HLz2TRH3S4R8AGjNhuiOsy5mDzvGKc 43HJvVtyHsujb2DeT/TXshhf1djqurDNe7BX/zT89LRz0xnP8duzadRMH6UR 1+gIzCfHY5t+rpPIc/QxI1wL3p5H7bnb9+KOb5QDQ0/lMR8smZc7bi7lyHaf YZFthr3I4cQm+QgcAU/wt89Vo+fopbGSRn21LY8eiF5okXPgYMvEL5CLzJfS 8OmXNR7Oo2Z93fKIAeKdeo64I/7GGXOIqVuK4bvoCJygzgNvOSexw3ryHT6B P/R1/Yc++1fDBse17+pixAOy6IHweXyfmmuuc8Zk56E7dYZf6Vmp+S81fjL7 n23JudifHMpaeFhfy+IMBySjvRj+jF/jG/18Nvi4O9hOviK2wdeOStgMe+HL C431+GCrMeSvkr9Wa973WZ6y/7e65+B9TSl4wKWaa0jyJn1Zl/sr4hs+fAlc pn6ifqmT3Oc0PqTxuGtOas/2UvAjkxw13nHKyPs599v4y4152BLcpecid1PL gpVHzUOPjh+OK4UvUuORp8EUaj3yMu9rjN9g4zV5YO6n8uAb7Ppjax56JP+D l2ds91IWNhhRC4whjvAtciE58StZ+C15kH4T38dXqX820ItSI2l8vhhz8s7s NP4jtKShj3br8LBrm+lZ9FBr3ee0Ox8RC8TlLscm/xHon+/Jwu7gJnhEPdno eo3YwE+25+Hvp4y/9CrgAP3ZYvEvcJ9c+z/cIr9sdGygpxXGas7a7rscMIbe m0X9y/npxcC55fY36p12251zc0bkULutMd+3jSlLJeeHWdi0Wo3YJzfgX/Qg u9yHXOrhhxpXoIMtnIFanFzMvuidc+a2wSTJfNE90ksai/ZVfJazz/daeg7o +OYq9+VgyDH/1+GOV2SB85dnoTPmxBi+gs+U7TvrHcOs2+R+ZK37hY/llEL/ 9A7/TAP/qLnAq9XGrK3+l3JjIe660/c95NqbGpx8wp3Bk3bXmdz9nDFrlPvK Be4t+f+BDrnbkUrIR5dg0jzLIYes8t3BxjnGx9zxCCYgb7Fl7nD/hP+D4czB cda1uI9Yb9xFJ4tsW/g5z3bP+Z9FPzeWHJdFzT23GnUBfg6+zbZM9IlPQadm YM9t3hcsm22ehZ6Dh/Tlba4/wJQZ7oUnuoYAi8CJZmMO2NLmXh7eZt99jP9d fCENe661HcH2WcZ3/lescyxfZZ42+8A68492Xzkpjdp5pftleibqf2yAzptc /4PT5GniiXpvk+P0x2n4SEcaPrLDfsK/s/Pum+mPyaEtxkZqXPAR/XVYtwsc R7lrgA5jC3Vep/FluWtTYpy+kp62xd+PuH/YYAwBTxg3eQ7vm+5DwW7qcDAO vwCnerlG5Q6TjcfEA7mbeyJrr3sc5IDVyOKdnIjuqNEnOx/vM8+P0tDbs2lg +Vs+w6WamH2xM/bGN6ijwUTOTK0ERoHH/DOkf6YXuN85kf71aCX+vWIDaPtN x0egoz9874BzKD1Ft3Gsy3T2HWJbF6y3Db4v9Vs/+yfyDnkvztLt89CHgwn3 phEPnKHT9XaX5fPf4j3zn8zin/CIatjtqGXSY4OJ5KXD5uf84MQR83RbD/gD PfQxY2PFvRb4M6UaNTY9+lH7Rqf1dNTz/wLOEgPd "]], PolygonBox[CompressedData[" 1:eJwllmtsVVUQhc89996exwUk8dGSWCJKBSmtpVV5FKqxiP5TKiREKxSUSgQt WkFJwAhqUoQ2WJX4DoghKlhpeaQQRTGKr8TEYPRXMVFAgpZQlEiRBr+V9WOS NTNrz95n9szsM2ZRS8NjYRAEm5EcUpkGwSDgB3AFeEcSBPPQP8wGQQq+EVtf YE4VeGQUBK3gNvxl4MVIWyYITmMbg/9a9LcCx9jJ+uux/QNemA+CDvBY5KWM bePAGTiz0bcSLwueiu0i60P408B3YJtUxN7IuAJ6HAS3wp+BPhG9Bv0w3NtY /w54OPwe8N/IHPBeYqzDPxF9P2erQjKsL7B+FOt78DeF5uwDb42di6/Qz6IH 6Evxb4Q/Ff49xCxGX45ejb4fTlveHHEbI+duLXIc/V74Jfha4dfA/wx+J/wB bBVwS/EfgnuMfFyJrzr23l+Kg74Czhf4L+G/Gf1jZA2+RtbvUK7wP4f+Cf5/ iRWyfgP6Ztb8B74Kzivgy9l/NPuXFoxfxTYYO4ZirWbNR+A3iNGJPot4b4In Kwd5n0Fn6UZ/Bn0+nDP4o8jc4fifJN5kZBX5jdmjhL12po69HX8R/EHkU/gT 4LwPN4d04G/XN8BtQWrBW9h2I76VxD+Y9Rl0lpnYjrB3LfHLiX8Q28rQOf0c PBd/HPoMc8CnWT8W/Sb44+E/hZ7N+xt2wd8LZ27WZ9BZTnO+D3R+9On4Q+Tb nHOq3NYSo6/IZ9iNfiF2LiexZhe4P3ZvvIj+l2qHeAncR5Bl4J+RTcT7hU+6 gbP0xM6FYir2T/g78G/CdgTchX828TqRWvh5bO9m3TPqHdWgalE9qF5UjanW 1qM3o7fAGZFzD6mXlFPlVmdqj91T6q1n4c+Hfxeck1nfwfeRc6bcqWf6I/eM eqcBfVXknlBvaI/lrF0QOZZqvpC4hlXL6lH16hX4t4X+xvHgLdjqs7bJVxe5 diuQ9apf9O2hOeJeipzLl5FHE9eUaks5yYFnaj6FvtM98IfQm9FXIL2pe0S9 oho8n/jOdHfidIPzsbn14sB/PTE+C+c18PnYd6GeU++VwSkLPdOWRa551b5m WCX6Cfjr4A/ozljfi6086x7uYu3bsWeXZqpm6wvovxGrGnkefFT1SfwipE/z JDbWjNWs7Ujce1rTnnimaLasJf5u4h9FuvPuafW2cqrcnoN/IPJM1GwUpw9u K/5hun/4xfieVs3l3VNfg5ckntU60zl9f+y7qMT2K+uvQfpzrqEm9Rr6dzn3 kHppWOK3QjN6ROIZolmyD9sAuDR1bZ1CHw2OyGddxjHigmekZuUJZB7xL2p+ 5jwjShLnTLmTbQh9NZwhcvUe+nH0Y4nxNuR38LTIe6vH1GsPpc5NDd/cDF6c GqumVFuqAdVCFbYH8S1KjXWnutva1LNDM12zvS717NZMmQEuTn12zWTN5gnI N4FnQjn4UOpcaqYVqTaIOZ21h/FnUr9petsKyOP427EtyDvGH5HfWL21ukPd pb5R36o71F0uiTybRhF/JL6rU+e6gP8BfEsjzx7NzOvw3aeZTaxiOFPIf0Pi WtYbeDc4SH02vYEHUr95evtU86r9hyPPIvXIZfCfiH32Jvgn8TWi/xj6jm+P /KbrbZdtFr4/I9fiBdbcz/o9qWtbb7be7lORz6YZcUvsmIqtnCg3vYm/9U70 NXqLUuMu4i2MHFOxNyBnWD8l9b+H3gi9FXqT9DbpDrL690idK9WUaktvkN4i /ZPUx46p2OoB9cL/tAIi1Q== "]]}]}, {RGBColor[ 0.5783913963328631, 0.5069746121297602, 0.4790606488011284], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFmHuwV1UVx8+9v8c5Z18pTLHGGRuh1NHiEY/pAVg2OMAfPK/NOGMPpa4w Kg9RVCC7WLwUURiYCUOFW0C86l4gAW0Ka6qrU1Nxm8EGBhScC9hUXB6CUmTf D9/V9MeZtc8+a6+99np819qn75SZk2c0Zlm2uyHLKqIrUpbt1WBGnmWTa1k2 Sc+1Ylii79eIbhXPW/qea7xW46+XWfaB3r8h+ms9uzW+UvT5Rq/rEM9Bydor +knR+fp+STJX69t0vZ/T+9CmLLsx5ldmpv+J8RVVj1mXSu+7TfSxZH26JKNP XXwat4n/Gek5SONOjYeKDtHzJ40fEc+AmB8rmWOqlv+u1ucaT5PMNyVzp/a6 ociyKaKjKpaBDZCzT/zLRCfquUr7fL/B35E/WDKO6v1qPSOQo/d/SuanJb/Q eIvmelW9N/uyP3tdEP8v9O1ZjWvad0Sj5R4RzxLpvFjPOH0rKz4vfuCdc2JT 7PGdBvtipWR+Xu+r9f63Rn97TONO6TFM43eky2DZukeyJpa2E7zYpKa5ngbz 9zT6G3s8Lt3uldy94n9Y4xHae5boxarPjq7LtXakxmsabIc20Sckc3HN52rV +A59X6HxxcxnZnxe9LBknRV9Wbpdo3G31n9UNOn7Lo13VK07srFzb9njbc21 69mvfY/p25v6Nk10vei5zPZeUbEeo8PX7LksOQa6c8+NDl8g44/iPyKeCWFr 7DxI9G0972v83QbHNPH8Tcn5staukU3mi3+entP63pLbtth4ZGl77tbc3GSZ M+Tf2aLNknNK326XjFFVn39u2H95+H18zTpcrzWbNe5KnpsQ83XNr9L4V8k+ wDbEzDrJeQD/au5F8WwgBwrnR3fFOXI89mev04VtO0t63lo6Du7T3IN6XsZv peOAmOP9Or1P1/vw0Id54vBoxWuJn/1xLuy/W3wLxLNTdGXNfscX6EhMoOdm fbtL4/ekQ0Xy1+tbQ2k9kHm/6Maa8wv/PqX3gZr/q+hY2WqMntu038KafYkf wRP8S4xhd+w/U3Sr5G7RuBR9urCPZ2r/SYXt8kXNf050ldYdyBzbj1cd31uk Xz+9f6+wbM6B/H658625cH60VG3nqVXnDjHTEuMnxP9a5CN5iU/wDTH2UsVr 4F8oWZ/Q+yLRVwJP3ynsS3x6OvKyJfh758anF/R9lHRYEHgBtoKxX5GM8Y3O m7Pi+6HWzxZfm+hPkuN4m+g6PbM0flH03aprwR49r4b/fik6rmIe5H1NcseJ ntH+u5Lzu3/umgAf34gFYh1MYI516EB8jIp58p68JrbaY3w28BY9wdyPN5kP nGgLrAFvwekNgfWsAyOQszPG7ZFj7EW8nZB+A8W7PFnGkMBufEscInNozKPb kxXnADj5EOeuWB9yrSuwhhwiRsjB1ppjnj3Xlj77D0R/J12miqdFz466bX4+ 8If4BcfwJ1iDTxfVHNMtYcP9of9Pk/Fmb+7YB39Yy9mxD3tcyH2WzYFVyAeH yRfeWX9z7ppxoPRZB8d5l5c+/zOl9eyIPXZGLv9M9Fui/6q6Xt2Z2959kms3 uUd9PyXaWnF96gzcnho1hzpFfm2L2GsXfU+8r1Scf2Arej5X2nbY8Eiyn8B6 cOBjpcf/Lt0DzIw+gFgn5pck+2Z/YBH1oaPqtWDnysCiWm5c/oty57CeedSC wli1MmrWLbmx4IzmT+l5SuOnk2sUcUY/cC/4SUwqTi8U3rt/k2OlI3iy3Nj3 h8K1bVfM42N8DXZBF0XdhC6O8ZKYh3dv8vyl3Pu3h5zmivngIfZ3Rk4NKV0v h4pu0vcf1xznX9L7Ic3fJtpReP3FwjG5MPZdo/fhmv956VrE+kmNxuRNIQe/ bIxxR9Rt9CFXJoW/NknnBs3fU5pnYszjN/wHNlY1/+eokWuiD6K2zawZC8CO DxGX4Kbob+vGGLCCfCavT+bmWxZ9GjHbGn6k5jAmj8BX4gfd59Qdl8QkcYzN qHUHCsfyjYXXsR45fQLDwfL/2YKzgJfDoidcUnEPvC8wATxgX/Kpve4zklfN jf/PfexA7SBmuyLf61XHFXvPih5sdpwVXKIuz4+co46cKIwhU3LrQF0BT+jn N9fdz9IHEcNgGrakz6SvoAehDtIbfKHmXp/ekhrA2TjXoOTcH5j8/WjU/aV1 y3+VHr60faljc0pjwnbp010YD76q8SKtb9Yeh3PH7/jwF3LYDzxHZ3iQic0O 1t0fEHcbIw6pxcinl7up5n3xKVhDPJMLP0rG7g3JsXxH3GuGJePCnNz98ltx lh3RA3LfGSH939D78NK9I7a7s3QPQS9xl+aOxzw9JjhPXBKTxCZj8vqGqNHU aubgQ7dDgbHUAuY6o04sTj73WrAicpMcRffJof/W5LpFb4LtJ4et6M+5wwwN Pz8Zvj4ZtW924d4NvxM/4Dg+pZe8Nu486IrMpREzYAZ7keNXxl3vPsl7LvAB nCB+W6LPmVC6BkwuXaeoPdSd9wuf77om74+t0aFa2gb10ngMFpAbYChYer6w 3VqixwNjwBH892jddzz6tlWRz+QyWEzuFLnzpxY9IffKXtH/U6O2RJyDhcTS +chHco1cIk/HhP7s82jcJ6mrzJO/9GT0IYOl5/TS8j/Qvtcn2+Oe3A/jbyfH 94bAh+ORF+RHV9R6zvz3wjn8j8L1cGz0utT2Iura6jgv/p0TdmCMnHVxF+Be gp2J52MV96vE+Wcj/h/Jfee7ULW8evhiu76fywPjuD81eV/utZ9K5r8luW6f r9r21Ld64BV6oiMxQ02mpyS3f5+7Vo8pfRchp8Ec7vpXhF/AL2z/UHLuwwPv zcl7fURrHyjNf39pe+4JjALD3gj+waVrymciHm+v2Q53hy/wD/3PTXHHoGZR pzgzsXEq7MZdcH7cB0dL1nGNX8/9X4M70Idz+7A1Yok7yongb4h7TQ0siZpC bTkZWA1mo1dP7EWNRIe74z6CfbFt39yyU26snht4hd0uxX8S+pe5YU/+bcyL 8YLox5AP3hyKOnR1aflXlb4zLAiehwv3g3lufFwf8YLsY7Ev5+uOMxJ3cyIH R8Yd/tbkGgX+YKPL99r4p/Fa4TzuLCwDe1L7tpeOz37xf+jy/SPuFdTefVH7 eqL+zUu+88xPxinwilj4Te4aNkPzfZNtyx0deUujTk0q7bPj0e8Rs+Q+914w qVfpmnMo8PnBZB1XFMZ27jPgPDhFjIEDzyf3Ky8kz2Nj4rB//DcZkCzvYNif WBgYNuxdul5Pk57L4p7LfRccHxU1cWDp/xUDRPdEHPC/4UwyT1th/+4Infm3 Qu/xUvKdAQybkoxpHdGHdEY9Ohv3nd3hr8t9QfQG9GvkBn0OPfuOuBdc/j8Y PQb3QOzyevxzGBTnWh53be7c4Bf9Jb0l99rh0SdxP+gMHf4L9NrDqw== "]], PolygonBox[CompressedData[" 1:eJwllnuQj2UUx9/9XfZ93wfVJOWfLmpQqrUu20xIl6H0h8uu/tDoYrbCJJal GwkJU2wYZsqsa0nRVrNkLaZS04U0Tag0tKvISlPurBT6fOf7x5n5fs85z3me 9zznnOdtV15RNiYTRdESJIeUtIiiZwujaEFBFFXEUdQWmYyhKhtFncCPplF0 EdyfRQ+DbwlR9Dq+/+JTDL4X3UHsh5Bv8N+XRNEk8AFkK/xv+Czwp+zVHt4H /1/hPfJR9AV8EfweYk3BXgj/Gf/O2Bey325wjG4atr74VOM7Hd312N9h/bXg Ndg7grthn4O9Ed1E7DH8NLZyzni8wHs8Br4KOQgejW4I9g/hk/L2+QDcjxgt 2buCnHQhN0fga/FfhxwF/4gsxLcZfjP+nYJxMWtaE28G+9+Q9Zl0tiXYK8AD sFeDNyAz4LOQC9g7B+fycfh88EPoXiR+jH9grzbw28Hz8bkJvAOfVfi+i1zH Xp/A54MXIIXwl+Fl4AeQRvyL4OdyvjPdXWNwLk/CG8Bn8RmacU7XwFci41k7 CN1y8I3IafxPYR+N74nEtfEG64+DewbnUjnqFZwD5eIY0hG8Gl2S8x7N8I/g U4l/jjtdB75AnmdnnKPF8Iv4tMK/JfIU378EuT9n3WjwqNQ21ZhqTXeiuwms v4P1s4LPuoX4M/Xt+AyGj2CPf8Cv4d8955qaAB8b+1tKsLfBthEZgX09ay4D /4eMzPhOz4NfIOY0/IfjMzm4Z9Q7Z3Q/wTWj2pHPsNg1qdrUnlWKjRTq24gX xa4J1cZYzr8M/ANnOsPaPD7D8V0abOuP/3H8F6Prl3NOlJttiXuzkTVbE/eg elE9NBu+PviulfM68Dx0K9i6Cft9rJ+LrjzvGrkVvC22TT2t3q5UPxJ/I2vG gQcg++E7sHfDvhnpCV6MbhP4CSRHrEp0eWK9TcxSbAXoVoG7p167jzMVgyvQ FWfdc9vVL4lnxUr4UnASOxfKmXI3LHWsAaw5ia1rYt8+8BPE6kH+95D/M5pv +OaR5VnrZCuDH826x0rBXxFjP/x55Bdi9Q6upVr2uA28K/G3HMV/J3i67gt7 PfH36Gzo5sJnShc8wzTLpPsYfj62TT2v3t8LH5h3DMXSDNAsUI3W6tuDe0M9 vSV4xmnWqefV+1/i/1vWM1SzdDy6lzhbL+wTwIdj13I99nnwGngH8F7krtQz WbNZOa8idofEs1Y+T2NvD1+bd42p1pQT5UYztQG8mfXNBfbZF9zj6nXVyCHw LqRv3jkeyPpn4MsL3ENt4XXyV31j7w0fghRl/AbpLdLM0uxSTS1iv5Gxe1Fv yF/wA8gU8FTkd/CoxLGUE+VmMPzPjO9Udysf+fYh5kTO+3XiXvlOPaK9U2PV tGp7ReJaUk+oN0amfkuquJMM+Aj2V7C/qpoAf5u4l5ch28E7g2ezav4U+/+U enbrzdDb8VnwrFYOlcudyJX4pqpBbPWpZ4tmkGZRZfDdqmfHgS9PPWs24X8F eEzwW1qNvR2xBqE7lvUd6C4mBX+79ngO3BJ7bdY+7TS/Eu+tmlRtquZV+7qz kuBv0rfNQ5rBV7fwLNUbek0L94R6Yzf2XsS+NHZv1ME/h9cE96Le2PfBDbqj vN8ovVVjYteq3hi9NXeypinjGtmArXXqbz2LPJj6DnQX6uksuFXq2aRvugT8 ZOy9dUe6q8OJZ5N65A+9V6nPqj1K4dWJ3wqdaYZ6P3YuV+s9TD1jNGv0Jr4V PLM0u75H1xXcJTXWzNPs04zWrNY/0yO6q8S50xtYRL7uTt2LmvGa9UNj76Wa Vm3rzdXbW8l+b4JXBGO9kXor5wTXnnqmibXvpf5XUM3XgP8HyEhaBQ== "]]}]}, {RGBColor[ 0.8088370944992948, 0.5879619181946403, 0.3435909732016926], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNWHuwV1UVPvd3fr/fOfswY4PE5AQziMUzM3kVEI+kpiajJCeUhwhdMCEQ uLxEpJcQzeTVhBonHpeXmoIBCRUVdQkQBITLIxheXnygxn2AkFxA4V76Pr/P wT/27HX2WXvttdd77balk+6emIuiqLYkimLMMwpR9DDGG/j+bRZFYwH/DvPo YhTdDcRTWG8HxMuY38HYl0bRGcwbkijqE6KoDP8OYq0e8DDgX8T6JYyZoLMK dL6E9bHAeQU4lzDGA34V8xDg3oVx3jzw/LswKvJRtASjOeC9mCuAvwTjLGht Ad57mE+D5p+wtxfo9MDYjfUGrF/DOAw4bhZFf8eeVcDZAfoTsN4L6w9hHoL1 NVhfjXEWe5/AOT8Gv5/BfWfhvAX43orvnsAfD/wyjL6Ap2DOY8/D+F8Omh/g ez/WP8TciHEIcBPmc9g7AfDvAc8HzXXYsxZjH9b7Y3061vvj3GOAi+DzFHCO YvwNOPdjXggeBgL+B+UGeBPmTwfd50bM5bHovU4dAr+mqLu0At0X8C8Nukdn rO0HznCcM6yge1bj32L8OxkkyzuAvwJ4fTF3IA2MOaDTFvMJ8NsG8zzs2wg6 c4AzB/BLgAdg7w9A5ycl0h3tpAHrvbBnLdbPgP5B4LeJZT/7ML+GeQLGBeC0 AM5BnHMD4DLAW4A/iXYDvB6QyUuglwD3jUgyrsT3eoxS3PWHltHgvHiYDbxB 2Dc0J5saFms/5d4dZ7wInDrQPxrLbqdgdAPcDP+vAP5GkF634/yuGKuBX4O1 0Rgx4DG26yG21XeBMwI8lYP2qVQyGI61ZfieiPXFtJmCbJj2vTInXWzB3sEF ybpTTvbWyesrvWd5pjNzecm00bZPe6ANku8bAC8A3gDM9Tj3rVT23BPzTuC8 UtB5B0uEMxn0twfx0YV2h/E04A6pzm9lHqjnloBXRYoBV2PtfzMn3f0U6yVY q7YM98b6x+8mn0f9lmPcnJPNkOYthnkObYz2czaWrfK8MznZGXFoC2ms719k onMUd5ybaW814ArzTDrv5KRT+uOQVLQeA+6YVLwewFxjmVHXbbG/BvDETDLg 2gLsne74RvhwKngpZLYN/GzNy/7a2hcon3mZdPkrzLWp/GI0aJ/CGIr1X2O9 j32LvNL/yu1HC1Pd5SRwB6W6Q++g+HSP7XqdeV4J/A/xbzPWrmDuGuRLtwfJ jjKk/T8YSwfU01jQzON7HOapmJ/MKW5X5RVjp4Dm46nsf3eieEwffSxSbDtr eVI2xKFMvhkE7wJ+NfALgBdF8rX59rcfBZ13CLR7BtH5c6L8UG37mQa59MM9 p2I+Bvv/V05x7ytBcqA8orx8jXx+L5VN3Rakk46x+JkRBK9J5OeMswci2QL1 Tvvc7zzFfDUjlo65l3QIUyZzY8U12tK4vHRG+6I+Kz621RLxRpkct+/Qh76f 6pyvOn7UODdQb/RTym8k+NpcVFz/DfC7Uh+YvxWE85TpdTV+pfHPRfJNxgra D3npY5i6YlylvpYF5eZ5qWRMf6ScGQMoE+aJX2aisziVLbTz3d927GIMY/6m nv6Tag9zDHPHB6BzuSC9FhLRfgBnLksVT3YArsK8N6dcS70Nte5eda7fg/la qjx+J2hMjMUDeaE9lht/VFHyIt5Iy4yxrwlzGf6vyHT/FY5XvG+Zdc1YOs3x dLlj6bOYRwTF0JG2l6dtz8yrc63344l8m3nvPdcDrAs6J8qxN2F+Hv+eBP77 qWLSGceretsP/fSqYzXjLXGHOV8sdl6oyCTLNr478+Qg4zEPr/S9Dtlv7wDP J2P5Mu2qDverL0rOrznm0jdedC1zKJIuCG8HvC1VPRW5VqKf0EfGxarHyCdj NmHSaYr1j+tRIvt60Hvp59x/pKjzeNbQWLUUv8kX+TuNMaao2pG6Z31SZdtg /q50Xr/m2NoURJfxg7mesWS9v5nLNhRly6yteB5jxflU9vk/zM9h9Aa9/on2 rDd96m2taZ5PlD+Xuh7b4FhRmVf8aQP8c5l08HoiW66yDFfZtllDNsSCuf5M KhorHWsZI6ij9xPl/FGuGahf+kSNdXfa8qh1zcY8x3zHvMIakPIlP7zrKdeE 3Ftrva/2N+VfY3qEab9nnZ/aBdlGaar/1Mth1mZBvDI/sJasM82Zmeq5RzG3 T3S/GxPF56Pmh/Op4nVbW2M51Lv+JB3+oz3w/0brhfpZh3Er4D6JdEm97Ld+ 1llHpD3UtrQorzjIGHjEPHCdujr2CX6OWT63Oyd2D4oZla4PV9iv6FOMzQXH 5wOZYk4b1wh7nJ/YAz3iPmQT82pefLKOY09CX25dVD25rEQ1JeFa19uMQTxr Vqa4yvjKOoz/uM74RBz2F29iz1Lm4yDaS02fdTHzH+Mhz3/UPLCfqHBP1DET jYmQ5/1Btk0bZ36Y4XtvdiylDBn/muzX5Ic6IE3a6RKfe3MqmVA2LwfRaZ5I Rlyfk6peYd3CWmyWeSMfrE3oS9TxF4Lk2TlIX+zFqCPW7DyLcZx2OiWvupBr /Md7/TtWDmD8/0sin+rpfoU2wbssNH6Z/fFirLqKfcEiy+cR8Pd1nHswEW/N XWewt6Dd77BOmSNIh37AdfpII3vPguhQfqMsQ/aXO11XM8fudj/TMQjuEBT3 HiiqD6JsZll3tzXT+kXIsHUz8dMP8IpE8ffz2Ls6k+1dxtrPAX8b8M8y5Vfm BdbvjFvzHQ+ZTxZanpW+O7/px7w7a9SomeTPnphxl3UsYyP7oGOx6pl+QfBf cW5drFr5imuYGuc1zrWG7wyC9yTSV1KQfCizCZZbp0yyZj/HmnNfXnloaJCM WwT5WJXXWfvU+dzN9l/6MfMp+3/mVPoTez3WnLMN844PJbJB+sS9Qfbwtmtw 2gdjVMY+HfgB81N818C/Gvfi9b7XfQXxvMN97kd5HXRbFcXnFOemfQXlGMbs s+5ftgbZ86eS67ULeWadfNK5m/pptH2uCqrzXwjCa7Rvjnbu/Nh+yCfvRr1S 3wNdX0XuK1dj/72As0R92lXTYazjOuMd3zDIB+U27xO1LXuMeyxP1iSs85jv 2QOzlh2fijfqged2zcT/tET1y2Xj84xq33Gq11nbFJqpb+cbybBEOvss4K8F 1Z5/TGSPrAF6W5+DzQ/fRba556Lt7Led1Pue7YN6Xeagd4NscLHjA3tF1meT U/VQ7DVoy+wTWP8N8FsU/W6yY9EtzpuMcy2s62l8cwE8FfPLlgnfCRqL6rV2 pLIL2scy+zBpLk9U39OmT6S61wD7485U9dUuzA2p9r2FfadT1aI1mI+4Vzma KteQPutp4hG/W6YahDGPtsq3EtrtEPwvDXo3aIG1nOvsqlRvZKzhnk111yfc h34ukU3UuW9mzGE9wvqedX4XxgbLk734TL8TNrhWp/9T5qzFNrlfoD/Mdo9M 26DfUqffDfKp72BuHbS3VTCv4Pma3xoJs7/5A86bhrOey7TONybaAPXD9cjv BC2tu5ZBPExOxOMM89nD71BfDup12cOyl7016P3ii5g3Yv044P5B9lbl/H7C fcEkyOeZTD7H+o41MW0/TdQPsNa/kEovDc5HfRPlQ9Y+/Gb//1HeyRSzm1yH MqewjmTd9HxeNs2aorX1zry62XXqdPb8gNunojfcNOmPtFX63RnHd8b2y5ni 1aVM8ae0eD1/ljrn3pRJX/TR/wbx0CWRzEc7FjHPsb6iTfBtkW8OSdD595mH EeaHtsU77fK9/pmo3z7svop80/a6BfUc7O8p+6Pu4xh71zkm0/Zb278uZKLZ PZXNsldnLOObC+PZwKB3O/YptHXKjvvpy+z1KTfGHfYkvBdt7P/WiEaT "]], PolygonBox[CompressedData[" 1:eJwllnmwz1UYxr/3t/guGo1tJjGDyhoaF4Us4Y+GSJmxp+VSES6XS6RtKM1E kppG1lBxlfbF0mItDFlKIWuyXDu5rmTp8/T88c68+znnPe95zlszb1i3/FQQ BKugDHQgDIL6KOZDc6Mg+DsJgvXZINgINUP+BSpIB8Hz+GbxLY6DYDGBn+J/ DL4vuudysCHHyEXEjyG2BP8G2L6ETmPPkKMF9lfJNw1bWfwnwW8IzTfBfi/2 p5Bfw/8WdOWRLyL3gZ+CfSG5fyJmIPwgaD38OHTts97DM/C9iCnF9hC6w8S+ h64Avis5Fige+zj2/yy0Hn4FNBD+M/Y0nXxtkXcTP4J8DyIPQE5j70b8WuRT yB9nvKeT8B2gvfg3Z43VrHcen8nI+8lXH/kaa/6KbSn+V+Dvw/8k9rbotmBv HLn27dCdxd4a+8609/AN9iroumu/7Ocm+MGJ15pB/hrYTxA/Ed8J2I/DzyH+ EnwtdHPhy5QNgl34f88aGfhRideeT/w0/DviU4zvCWgz+ZriU1gGGzmGqn6R 73ob/gvgJxHfl/h+0JHQNVPt6uDzDvw18q3JeM22yO2QR5L7MPnugd8Q+e6u QeeJ74GuBL43/oeQL5N/K/zn5LsIvxP/0Wn3jHpnNrp87AXIs+D3Ez+b9Yag O0v8hci9cg57EfzPUD7yFPJthh9KTIusa6ra/oEuF/vb2HfD7w19ltboXsZe J7KtLvJo1hqP7hRyDWgXvj9ifxLbHs63Dv7mxHe1CF1V+OGRfSejG4R/J2i2 as36IfYmyG8g94GWa6/oinVX6jdsd8fuRb3BVvDb8MmBP4VuK/zUyG+ntWpC 7BLkB9Lu0RbE5+lOUt7jVe51ZuSzdcd/Iv636X1ir6nzw8/A3krvi/gbkLsg H1Tt0DVg/fuh0/ARNBTbX/hcTPsOdZd3QtvhD7G/jdhXIlcnviPrvai7Q1fE 3XRAHou8PTSvNzwGeSTUBv4TcuRhC4jvqrOynwTbC4lz6Q56Re5p9bZ6Jgs/ HHu5lHMUwheS4yqxM6A95FoFFWS8J+2tGHv/rDFB2CDMEHaox9XrTdFtYS9D 2EMTYQf2ENtKdNWQ48R72wJFiWui2miNcvguQvd01phYitwodi5h2B3w9YQf yJuQb4evH5vXHQ+I/Eb1Vo8jd4r9RvVW1bOvY+sc++0LU7rAD4t8l6qxai3M Enaphmvg6+CzMe071d2qZ9W70tXF1lI1SBmzv2KtqrHPqp69ju9wdCvSxrhz yBWx72CtZciVYt+Z7m4CdBT7AuTqafdEM+z5obFFNZ9KbTaFPpswSFjUOPZf o5rnwjfH3jvlnlZvL4N6p42pVxO/Gb0d/Um5+P6GPCptzPgdfnpibJgFVUGu gM868i8h55/Ia5D3pY3hwvKl6HqlvYbW2k58RXJP1ptHLoZeSvvPWK7/SnhP vl3o2iB/HZoXhgvLw9hYoDejtzMxMjYLk1L47g+N/avY32nVA/tg5PHkDEL/ Gfo7dmT1aRoThY1bkC8Jy/FpmWPMvU7+49CHGddMtWsY++2qx9RrryR++/Ww d9d/nBh7VZPa+P+L7gfiG+DfGvkA8pyMMVZY2z42FuqP+TY0pgpbK2EvxHYj uhEZY4qwRX+4/nLpVsMfiV37hchHdd+hedVctW/Cfubm+AxNE2O4sFx7OIh/ efxHZ4xRwqpH0F2F70zOh+EHRZ41dKe6W/WgelF3dgz+LXIOFN7gPw0+Xda1 /Q45BT8iMZYKQ4QlX4TGWr2Ju/SXxT6relq9XSF272vmqIf/u+i25xhza+kv hOalvOe1sWcOzR56Q5WVizX/yfqPfCI2RgmrZkJ74ffF5oU5wh5hjLBGNSrR 2SL35gHkotCYK+xN4ZNH7PUy5jXD9Eduqpkr6xlPs968xH+pZqT58HMS11J/ 7Fz4x2IPioXIHyC/n5jXm7jAevMjzwbKeSHxG9NbE+bmIpckniU1Y2rWVI1V 6/Lsqxp8aeJe1h+ovzAK3fuqiWqjHlWvaibRbKKZUrPl48iN9B4i8wOghsht IudWD18mdnLiWUUz5ZnINVKtxqJbnPgP1l98RfiDrTY+lTPGEGHJo7FnR9VA tdDMotlFPdcvdoxi1VNvJv7j9dfrT+yJ/aPQs8//OTWbhV5bf4L+hjOJ3756 RL2SYO+Z8QxQM/SZdDZhQin7qR27d9Vj80LPgJoFexBTFPvP1t+tmfDW0DO5 ZnPlXCwsiu2rGWiI5snIs4YwTFj2HzdKp0E= "]]}]}, {RGBColor[ 0.9222496473906912, 0.6756241184767278, 0.3589739069111425], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFmHmQVcUVxt+89+67t++IgqZMXEtD3CIk4oJiRY2mjAgMVpESjEoSYNS4 jJgSQctyI2IqoSwSSURRWRxHNkmIiKgZYUbQRFSispigCaCW22i0oqBRwHw/ v2P5x50+0+909+nT53zn6z547PgRl1crlcqB+lNTe3yqVNZJWJpL1rdHU6Xy l6JSmanvQf3eR313SfdE6fRR+1FZqZwu+V793qH/T5P8hPTu1v8nS94g/dmF +7dIfkf6gySvlfwnrXWs5N/p9xlVyzu03jzJZ0g+We2zWaXyQ8nHV/2x1kC1 K5JtmIFtVc/ZrnVnVb3uUslDpHOc5Nuk07tqmfl3Sn5S8guSl9e1lv4fK/23 8IG+ier/rtZ9XfK7kic3KpU3pbdZY1okD9PXpv/PUjtc33jJs6Q3X1/vmJ+5 L9V3YawzXvPvI3mN5HGS35Rt92vcG2oP1VpbNOZl/ban/DNO7dnyz2/12/HS aZJ8YM3yrdJrSG5Se630ZktnCOsn20HffM2/e8PzjJHMwTL3L/TVat4TexxV s5/x90v6RkseUrV/OUvOcaLseVfySPmwp8lzMU9r3f3z1HWOfpuivhuk2099 7+ubyvyyqZT+xbK/VTrXSffb6tsUPsI/C5L9flDuPb2p707pXVb6LOYn23SA 5rlS/b+q2hfrNbY9d3uldKap/zD1v6H/u2TbCMld6ruo9JwjCvvuW+r/ZcWx 1a3vUOlfUvO8zDU0s80PS6etsC+Ha/4N8ufQmmNla7K8QL8/oq+ucQNky6Mh 0/eYvobkY9T/B40ZIP3pmuvD0r49tnBekV8DpfPT0mdzUeFzGBZn8Yn618qm 7WqrVfuKs9sr4oDzvri0fJnGVqqeB52XMvvgkCa3+KRV7WLp7am+E7Tuau3l KvlrldoJ+tqk85x+vyE5VmdKZ//k2L5WcrN0k76+xHHymXwu35yp34arL5ct 68l7fVP128aa/ydm5jY8lvj/q/r+VnNeEFfrQ79/k8+Gc0G3DH3OgLPI1a7K 7YuLZedzkntJPlP9NzWco8TPjWE/+xiUbM9D0n1K7Wf6TtWYJWrfqxkbWpLl YeRR5AvxSm5gz9aK85hx2NzVMB6RK2AXuML5EmuViOGfl47prtzn1BT94Nnp gWmcE/nI3nvHPOAYNt4Vdj5Wt9/xeb/kvGnR3p+u2Y/vS79b9syve85Dkn07 R+uOTM7J1yVflHkM+uTgMzXv8bj0VT6x93VxXmeUxqw71T+g7pzdFOfDOeGT WYF54Cf511J3vDdkzwOSZ9eNcx36+qt/lnSmEYc1Y9QFmXOAfBpcdX4xhrP7 r+b8c3K9WZI8R6b+1epvafLeOQuwGLxZVjH29A/8QefuJu8XG+8JPPy8sLyf 5ryz5t/on1AzloIPt1S9N/a1JfaNr34sm2+ve0wvybs1vAY5NqjJ9pFjg6Jv tH4/P8ZUmuVb7XdH5PRzmeN8K/6pGa/J0ZVVzwE2d0f8PRWxQAzOTfZzyr2P 4WH//Ngjtn2anPMnFz4r1jkocgofE0v3J8dqh9r25Di+V+24mvfUEvHeEvWL OKUmEqvEH3F4WLKt2LxO/YNyYwsYw3rE5IvqX1C3DCZyvg9EXrPvZ+s+B/a7 uu49H51bFxxl3IKI7c+TdU7R74+ofTTyYmPm/49qcpwQc/XAI/wzJDdfgB/0 iThbHmM5H2TO+qPkOT9M7nskdNqls1jymVWfGzaxv8WxF/Y8L/CYHN8r6jP1 8QfJeAVuUT8PyYwvI0vLZ5eOsb6Z4+zCzHmB3fhmZs3+gb/0CowYh736bpZ8 Y8PnCJZg7/Lww5TgaPC2BZlrHzUQrO0JPvCj0uuOKI0Hm4K3LM1cs8hl8qwl 8oi6dEDUpleSc2SC9rVQNixoGA8naf3Dq+ZgyAcEl6BvQt39xFG/zHbQRw3C zqvrHoP+i5lziJwaXVr//NJ7mhD66F4d64GpHYHJ3cEnwGD8hL84i6mBH8tC Bjuo9XC5K+rmMbvnrjXU/yGZx9MP97s8fM7Zjo85+wXeMA8895qw/9TM66LP XjoiJhuS75DcU3E7I+RnMsct+HVjaXu6kv9n7OrAsdsjVjsbHsv/14QfWBd8 nVs3ftLOCXm33D6Dy6/I7DvOAhtbYy+syb7Y/5rIVfIUPJ8TcQ7nHRv6/4oY eCXqL7EIb1uanAPPa839tJe3pL+v2oOTufdBajc2zKvgBeTj4ODhm5PlLcl5 d2/UkvPUrqzZV9g2tOp9tWXmr/x/QuDPOxq7b7L+Pmq/rq9T8t7BJ6k/jL02 8pb9ki9L4h4Bj5gXXIJ4mxL9YGNn4GNr5AEcCOwGy8ZEDbqu5nM7t+GaQf4e E5j2sfywq3B936n2gqiHzPNQ+A3/DS68r/81zIOoxZwFmHxX5CQ4AnZQm9g/ +kOC602PWlKWrruVqAmtwQmL0rGSSq8/LXzSN+KEeOkI7GFf+J/9gEfYPCvs 3lG4b3DuutcatYA7DH75XmEsob5MDx7FvQicIT53RYweW1o+pjTHvzU4+QD9 v0P9V+aupzMC3w5PnufJ4PZtcS8YFvFJPlbzqOeFx+2IscQFedgTvAWc4+7Q ETVxZXDMicHNphXGXvgm99SZgcNDw99fxFLuGvzv5Pgh5omhSTE/eyeub4k4 354ZS7l7LE6e84/J8TYr8LMzWX48+Y4LFyIOWXtmyCfWvQfuQDsbrtVjZe/H mdfgfvNq4ZjcM3cdQBe/0MJ7kI+s2+/Yc0XNXJC4Orq0zfsUjrfxwQ+vjr2x r7Y4L+Z5peY58Sf7nhTyT0pziAdz4yjYCw6PTbZxTeE8J9+J852l8ZJ7FTUR /koN2hiYQC0+pTBf2JVcMy8MnX9qjWGSJ5eeGz+wL8a1x9jpwQ24u+zf7PtS tdnz/SO4WdZsua723eR6/16ynWAiWLP6yxxOxgU4ITa8lcxb3lb7Qe6z3xx2 ogPvJZ8eD4x4TfY8pN9eLX0Hw6drC+v2Cn24IxxyV+n+C2K/7I/zBkN+Vvr9 Ykzpewp1GQ7GWuQwMU+9XqRvleTbSvvt92q/mcw1+6qdm/u+cKjkF3LXs0nc CUq/h7SpHVX6/eKc0ussjDk7Y1+sRa6dF7ixLPed8ES4d2nsnlk6D7aH/a9K 5xzJvy79NkS+3ce7VGkes17ta7nrLvcbOO2XNYTzaW98FUdzI5aokfA88o4z x29g2h4N30P2iD7kMcHzO4O3w/XgfGA3uAInAFt4s+A+fmnpWEEHTnhS7jeI z5L71sZY4h1sYiz1tyszN+Lezv19WfLv8IybY61hIb9XWv8o6W4pzc+2ln7X 4M55CTbkrj2/kfyNOCPOaq/Sd4yvlX7H4d1mlNpRmuPoOK/j4v2O9wnwFFx9 qnD88gYH9+ZtgreFecm5Sl4NTMYVuAv1jv2MzMxD/lOal23OzTVWxH7hMvAh eB1846x4QzsymYMekfz7uuB/25LvwNuTcxr/f8HTGj4/agzY3hnxBmdi3u7k dw245fulxw2Ns+ONcGVmjOV+S229vjAutcT7Xr94WwSbqV/kJjWMcSti7HcK 4zM4zTsXb0dXFMHFMu//g9LygML7hD/BncaGPCU41Vkhs2/2D/YtipzCp525 sfW05Lcn7swfFf5tYHBsznRk+HlJ3J37x5nDK1h3nuy5itpALkpeKHmD2onS 35taUrhG0E99mBNYBxcET7rj7WNh4fvAIrWfNMyNniicy/cE3q4KbAQjqR/U kTu01prSOk+XztONkasbQgafebflznNV6ZoMt4SP4WNy/+HY76LwzzuFeVpP 4fcy8u7T0tyc2IQ/EwsT4r4AVuAH1uI9mvr6duBYV9xlni9cC18o/NbMHfLB 5LdsuP426W8qXAtfLvzeTWz1qL+98FvPfYVrIL6lDv4991vP0OQ93RT7Ah/P Da44Ofq/eAOt2+dgOLg4Ks6Xc5kd3L6uOb/PXSK5rcQd70ufgo1PBKfhPnq9 7BsMb1bfpuR7yMvJdXtacKEdDb/7TFX/pw3zg1uS7249wYvw+8LwFeeAbeBJ LTcvuS25DnRGjdtWmGfCPbvDz+yLWN4Q585bHlzr2dz1mLpcU/tZvD9eot9P Knznb2o2zk0OX8HfewcvqkXMTAx8GB14jn+xhbsU+Y4fbo57aJ/gXeRNn5iH c5gcb4vLo47AIevBDRrN5mO9guMdETjWP1l3dOg/HvwZjPo/5eNFdw== "]], PolygonBox[CompressedData[" 1:eJwll3lsVVUQxu9797X3nvuCKBgUigsWClFUiuyySaJUWtTg0saIClQQlMXI pgkIKqAQrVIVLGtBZAsuLKIGKUVAWcISoGwqUAhbixDZl7b+vswfk8x35jvL nTNnZm6jvkN7DYl7nvcnkkD2B56XneJ5PZDxkee1CD1vHfpapBKciT0R87xv IZ90nrcd+2Df8z5gbhxbEZzBcLNZdDz2XuB08BFwDty34dxk7jTkAPbJyMGY cZ6F+zm4AO4ScBk4BC9k/VPw08DtWGMrtjGMlaNfQJ6EP4Kxhdgnwn8A7iTG JqBnYl+PbTRjG8GpcLahL2B+d86yN7K9GoOXgivgzMVejbTC9khkejFSju1d OKnwS+A3AHdn/RYx+6ZMuO3B27AvBp/CXoIMQV+Ff2ox93Y4R8H9mFMHvQ/y sHwLfhm9Es4AcH9kKvh5pAm6x379WLtGGO5ujSU974vIuE8xVoh+mf1+Zf10 8Br41xjLQN8PJwV+Bbgza83GPw9hz5Md2yE4z6FvYv47zO8GZw72jxnLw34X /DLO9j44BzwBfh72s/CXwa8Dbo/9JezNsR+H/zT2r7BXxGysN7Yb4HXw12G/ jn45sLvTGpXgfeCsFPOZfHfamS9TWaMltkuRnW0B81uHdiadTTF6FtthcLO4 3fl58CjkMfQPmZ+P7bTuiPlFcJordsEnWd8Hv4k+j/2moa9kzjFwTSoxi6uv gOviv1Lsw+AvYuwW1jsHZ0TC9vwX/QL2X8A/I/+hn3HmG8WUYutKZN+ynfWu ordhjdrgWuzTIGl3prvTGhfh34Z9uWd7bAAfBbeEm8v8j5j/XmR3oTONUywx vyTF7nhmaHequ1UMvYBeHtm3ZWL/jbU6hhaLtVkzjf1Xs0e+4hP5Cb0LnA3o 3eVzuNWMlcZtrAa9QWRv8zD2F+GOh3O3b2/wOmseAo8GF/INn6JfhxNhc8hA +RrpmrAYUawo5yj3KMYOwH2QOTPidmdnsP0DZxHc2cjf6O2QPdjKkFXwG4P/ QN+MFAd2B7qLMtbrxFrfI718i8FOgZ1BZ0kiN8DTlUPYLws5D66HfY3eHnKV 7+nK/N7o+8RBb4rUY+4oxg6g13eWG4qQm+BlrHEiZpyR2AYp3pgbQ0qxTWWs Q8JynnLfFOWshOVE5cb7kTH4bqt8ip6N3Ar3LLgneo4z/QedUe8PfAN9E3If ehFjW1irvvJdZDlZuVlj49Anhpa7e7DnHPBsZ/pw+HuxFYA/gd+Wsc/QY4Hp umPddVPG3mCt/uBmmhtYLpqF1Cjf635iViOGo89j7HH0J5D56KVIT+wzwNWh 5WTlZuXIupy3KjSbvknfppqh2jFdPkLPCszXyunK7R3Bhb7dse56BGOtffPZ DsWTM1/qzM11dsUvtrhyBvZVqhHY6yoHoA8MzTYFH72OPhn+OeUO5Bj8hXB8 X8WPmqi3HlhtEicDPc2ZLxSzDRVrzC9Q/kUi9OOBrRWBc7EHznKLap5qn96o 3uoK1VD4e5DFKXYnupulnCnHt5hUbO4M7OyVyEi4JYGdTTE3APwonJkxi+k7 mO85O8tryO/YDjnzrWqcal0HZ2/rLeY8g70b+C/fYlqxrZhT7E3Q+wwtRyhX 5CKr0Xchw3yL4Xz0vshQ9RuMNWGtdGexuov17kGfpJjy7U34gdVk1WZ9827l Z+V73755CdwdWs+3PXYqv0SWW1XzVPsuMpbtW4+gXmF9aG9ZMafY+85ZLWil eJG/ndXGDuC16NWR1Vr1PFWR5UjlSuXstpzlm9BiWTVftT/DWe5RDVctVw1U LVSNf5X5ywOr9YqZV8AVoflOOT49sJyr3KuatQvskJ4J84l8oxqmWqYaOZb5 m5FZKeYT+UY9j3ofjW3Rfs6+RTn0R/k6tLeqO6jiO/Kd3b1qXD9nb15vX3e8 JrCeQ72HcnRC3+vMV6qR89HbKKf59sZbo/eBXxW3HHaT9YeFFtvqKdVbzg3s 7pWjlauVM5U7VSMOoh9xlnt1Z0fRV6pH8y3HK9crBhWLu8FtVQ8jextfMmcu uHNovcU+xhombUw2+bDYWQ1XLdeZ+4JXBLaWYkixdMJZb6seU73m8MBqjWpC y8hygHKBztTeWcwqdjeCGzmrgaqF6inuhH+vM5t8It8MclZr1KNdQt8Gv1bc clQP+Ta03kY58iLzc0N7y6rJqs1+0r5NPaB6QfW06m3Vs6l3GxtarleNVa1V T6HeQm9ebz+WtFqonlW9a2rSekPV9C7yXWC1STlwYGQ1W7VbZyxAX+SsV1LO XOysB1Evoh6xnLnXUq026h/g68h6fvX+6jFzI/uH0L+EehT1Kuqp1VsrJ14C /w8no62D "]]}]}, {RGBColor[0.9590620592383639, 0.7676551480959097, 0.473092383638928], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmQuwlVUVx79zOOd8j4uoCPKUy0u8KIhNXKhQwOIiASMiqCEoSFLjLTVN ZcaUl2CiPVVEQUTFpMnMF1zkpfkYC7TCEa8ahqCYSmGTZqWZ9v/d/2Jyho+9 zvrWXnt9a6/1X2vv22f2xadfVE6S5Cz9107jAo0L9cwUvbiSJM/qWa4Xw/V7 p+hhGudrfEHP50XXiiSZWEqScWmSDBTvtmqSPKffK6qm50hmjebfo+eM0P+0 6ItEn5J6Ljo+yJNki941a9xW9hzkR9aSpLv06l/b2KNiO++Q7tV6Lhc9VjKn 6PlOyTZjL/Z3KJl+K/F4a9B/1Bor9e4VjR2l4ynxx4rfWLFedN5ZNc23jJHu AXp3ofjrxWvRs0z0korXY60NVb97W/LTKqaRebOwfENmHceEngtK/n2V6GdE 96v4e4/W2F/P+Yl50NtK9uXKsGec7F0mflPZtq8J+1/QWvv0/j759beF5btq 3VEV+2ekxpdzzz1OMqtr3kv2cVDFfsSHi8r+Nr7rdI0TxJ+scXzN9OWSaaf5 i/X++9L/Rb37QsW/Gfm9L/xwtp6bxb+r6nf4tpvoIeGHzVXLHKo1m6T7BNHN mvtxzTFyXua4OpaYE/8j8S8Tf2Fme7H7e/rdV3oGi75YMkv1jceLvi437/iQ QXZw0PgTvcQna2IP6zEfuesT+5qYYL19QWM/frtDzzz9vlRrHK6xs+zpK/pd vZ+hcUT4C18tqzpu7y957Bkx/JS++bCw4aB/l4ruJfooPYeIvrtq37Huc4Vj vntmX8JvLXlcE3RT5CnxsKDi/f2y6K5asGPFsTYj7Pyv9PxH+zhbdlwg3kdB z8ts1+Fh247C+o8S/xzxtlS9X0P0e7XGv+p9c9XrsVaf3Dler/FmyQwnXjPH M+sT20+X/f3sKXmGb/F3L/ngKD1TSrYBGeYMq1iGfZgfPPKltXC8/VRrDUiM T416ztZ670tuusZmvf9E8j8D50rGsgY9q/S93bX2eOk4JjGf+fuJez1fAaM0 v1V6SnWO02kRq8/q2V52brZKzyh941Lp2V44VpfInq6xDro/qNnuw6TnXsn3 1rqTCsshf63GPpLprecM6ayveW43PW/rGVW2b5/Q3OGa26y5XUI3371a/J7i TxT/atEdZM/lsv1F6X4p4uHlinEYvLhPshMqjhl0s8bkxNg7NXEcgf1gJti5 Ufwp4o0BA0Wv0/OO6DO1Xn/pmloY8/APGDhRNnxIHZENE0T/C/sls1syJ+vb HpbM/VXbgQ3E+yjx2yfORTD3wshNcGFIvB8dsTEgZJoDn5uCJneQQd/eWKtT 4m9lrSWiH9W4qeqYwGdgMni8v3BsD84cg6NirY1VzwHP90jmI/G26ptmVMxH z8jAT7DlVck8KH7/zHs7MDCE9X8ZNjyg8VdBT6zYPvSSr/MijxpjH/B5P8XN Zr3/odYdGjzi8w2tNUnydyt+5mi9svbqlswY0BTxXB/52C933pBT50e9Gxa2 nVqxPewd44NBs2/1gUXUon5Rm/AxvsY/vO8VMi8X/sY+suHVquv3wdoNDQZe VjI+3pp4PLFi3GNd7MAn7C9xRX0kfqnTxPAmze1MPGo8hRwQf0XqOkT9yVPv +6Naa4/Gu1NjzLbCdRH8eFH0BD09qPHiHSicv+QxcQFesaenid9Hv9eKf3Vm DL0q896zV6/r/WC9P77qelFftTyxdFzZOteJvzcwECzEh9gMbuyQjc/ruVJ0 p7J/Q4MN6CKWqPFgK/GwOHXe1GXulWZI5yaNV+j3EXr/N83/W+o5L2mvR2fG 2fs0TgeX2Fe93wAutnMeb9W7QjqHij8v9f7k4m2o2YfkDhhJzSYfX0/9bdfR X4T9KwLb8A/xhSy+PZA4L+rDJ+Rwt+CfVThfJ2au5cRgSbpvKxxfH4ZefHJv 4rX4vVz0Lum4UXQ1etHVUYv/rXGWeEfm7luGVl1/6SGo7b3Ff7IwNoKR2L7y M/5P23kt4vammtehzqOfHqm1YjylTswCZ6qey9rIkZezCvdQk7TmzIr1YzM1 n3Wp+6uif0An33FT5Mi8wjacL9u2lLwea9HHzm7nmo2+28PmmYVj72HJN2oc VnVOoXtV2EN/CO6D+VcUtnlH9N27K65zR4dN/TU+n9oXLfLVBYV1/lq8r2fO xTPE+0bgDHjzack0OT09au5jxGOcC+jxWee1iusFfsN+fPPNwnv0eGocaAz7 kd0T8nVhJzR1rzH2dHTZdWvywb4ucvAfufNii2z4U9V7SW48IP50MC53DwN2 3yP+SZLbLD3v5cZy+OA8dYr9J/7hnRN1/9ygmftG1XWiR+I9vDFiBpp1K/G9 MwPr6EO+FXMZvx30Y7nprRq3Vv2uZ9n9BjbTP+Nf9BBL51WsF53UroaKcxOM IBapC2DqSYGrYNWEwNVK6n1kP1uDvzjq48SgqSenxrqcGzg/ENPwJkWdOi1o ZOhbR8RaDVX3stBTKs7Dg9gIFoBpnCHgs4/oho9NfDM+ok9bltv+mzUeV/X3 4APmTQ6dB89a2MDeTIu925A7hs/KHGv4inwBk54P/PlF5rpAfZgruqNiZknq +P1qO8fXaMVne8nPB//LlumXuNbBp/btDEygNtFf07M+E/HJOY0YvVLz14q3 K7d/wGHOGdeI/5DGkwvXKjC3s/Q8ojlntvM5/PWq6xnr6nXSEriHDxpCD/Na Yu7AqvlLQ3ZDYDg5ih/xIfrQSy0B4/dGnNN30n92F71PvDer/+fRmw4M7N0d OUWMk2P3R7/aO2Sonc0R24tzx+c1ufUiR087Kvp8+j3GXpFHj4bN+IP8wg7m 8f3wwKj2kXtqidr6u91h/76Y0yPy97WwsyHWxbY3Qycy7PO42GswF+ydW7ge jg5s6ZH5LuB34vfMfB77A31H5juO34i+PnefegPfKKNaNHdYagzbEH0ytRY+ 9elzhc8UnC1+nLsH2yne7XGe4lxFf81dBTZkmc+QT0Wfggx9xS2582d57rsM 7jS+mzpuuGc5EFgKfoLF1AD6+7GB9+A+NWJ2nGfoSXg413C2Qg55+si2s07w 6UM5R+HPS6jZ7L++e1Dm8/w7hf3aFBi9PfRPDX3bg34ic117MnOviz0Dwp4t IUOfx55TK4fFe848L0QfOyfx+HT0tMPjPXt+aOa8HSjbfpDabvpozjpgJLXv cfmtF/1S6pwin8CWvnXuNW+IPmFH9B/UmUGBh5zBwVAwc1pmP1wS5wJygPg/ oc41uFduLB0b9zD949uI6/bcl5VsD+dDeqmOmc9e6GyLg9R60MdZZ0ycidBF bwV+0i/TNzcHVoOPYOPt0edQPzjbjkl8lgMLH4k46Zv5PPZK4XhdF/FP/K6P GH4r+LNiXB/0kbEv7F+/zGebXYXPjMQO+/hp9P3Ur5mB5bdGLRgf90vU9hEH 60LZ8UNNOzbzGextci31vrA/63LXwvUa/x74cS73RZnv4/5Mf5S5pv5F9IjM OUiOHpJ639l/auiA8CO5syjuPztlpo/g3qNwrpFznOeIvzmRC7vKzgd6PuJi hmQl1oZz3AGMiz6cfhws0+s27MLv5OlFIZvHuzcC8+rid/fP6MpCDsxEDiyc Uhh/wKEJmTH72ohD6iI1EWyuD2ynzlJj2zAk7m6WF44Zajt9QsfC2NGpcO0d EXv2k8ArcIs86xJ23ZW7f7gz7twGRS6RI5y5uL+i1yc2Ty8cdwsj9hpCB9/I Oalj2flzZ+jcG3cdaXw/8VaL39Qj6iH4/0ngyRNx17Qt7ojAkk2BJ/Tgc+Ou uxa6qJsLc9+9riiMVbNDnnsxaO7GNoYecodxc9DU/53Rq8Nr/YzMxtAzJrD2 4Jm+MfCMvpM57+fu3YYGNqXhW+z7UZwHDqlzjnUOPvW9Fr9HRs9JLX434ooY fijO8JzNz43z6nmF84R8WSDd52SW4Z6GGos+8OnV6IGpoWAoWNoh8x50Dfta or9gD06OXoK+4t2a53E2HRD2dolvxyf4g7uo+VFTwEL0g4evRY+BnvaFz/+T Uv/NgdynFoyO+xnuecDOiYGf1CEw81LJb899J/ls7rjgHAVeoWNj6FkQ+87+ Lw8Z/LYwdX83XvYPqfM9/+9zn5tbAvs4Z2yOmOB79sfePZT7nPCwxjW5e+V7 cveA2AreI0cdAt+uS52z5C7nHfh8S4fAfmzuUWcsPjHz/P2B4ffm7rPX5p4L ToPb+KCI+TzQk2PNuqCpafTJnHnpKXpGX9ES/TN99M9T361PLhx7jRHHReb9 4U7iQM05NTd37Bwd8UMs7InelXzuGLjTmDr/v8S9SNxH8H2ce5rj7LMy/DQl /No+9pe+eFFgB/1ar7CfHqcuZLgfIpbY41VxzsYe7qn5zhMy3xdzb3xj7rsM 7jT2ypYHUvfQZxc+C9AH4rt90QuDn9zhc59FrlELuLfm/oIaQJ6CAwPjN9hG 3sJ/r+Zen5xclNpf+C2VPV1yxxU1qil1vBF3+GFt+GJq3LV+rXDN2RJ9GGdd YvGf0vFx5hjrlvv+dXP0aR0CF4ht+gZwl7rTGr7Gz90jRjmvcF8IhjDnf94h NrU= "]], PolygonBox[CompressedData[" 1:eJwllnmQz3UYx7+/9fv5HitqybmWRZMjpmYcU8MwzShKjjXIfUwlmyglOVfk rqZiHVsRNprkDmUdhalQaMRKNY7SOVFJBzpe795/PDPP+/Mcn+N5Ps/z5A8b XTAqKwiC3VAa6pIEQW4mCEakgqBPGAQnwevA66GGURAcYy0Xg2XQy+DDcRDM wHAauBp4A/Km6DaG+mJ7DXQC+d4KQdAD2WB0/kK3CXvNAj+IvBW6baD3wF2h 4+jvYP/n4HtBp8GnoBx0+4JHp7xHf/Au/F3EX8LaTvgerDXIWEe6IWvjkFdm /z3IpnHeG9O+4zLk3VirDz+R8+SBvwW/DX4HaoptL/AkZI3AveE3YD8Q+0HQ RvgSbGogawQuAr8IzgGXgyuhvwofndi7M7Rad68YBPfhbx9n6gRegv7+lH3c if5C1rLQ/Ze1XaFtZKs79oNfwR7d8N0dWgk/D53t6B4F3wN/Gzqb0f0Ef1fw Nwdqj30z1s4iL0beBrwdeTP4WfhonvabvY78LtZ64q8SuAO2RaH5PHQmoFsL /Dm+ytB5Rvro1Eb+MHeqC/4Y/Cr4I+Qvge9N/HaFyif4g/iYiq9C1haCq4OH YLsVnzUkw6aOYsE71c8OgkPoLEd3BZTL2d5F3jrjnFHutAwd+yWKN/IyqD/3 24a/Nshew2cB+/WEVsFvYq0Fts2hQdgXoD8W25bg4eAccBG2pfgoQHd3aJl8 yFdDaB+y85yxAfzNkf+C3vgn7IeD5wbeYzB4JHhx4DOPAHfCXxf2K4Guau/I uZmL//H4qwyejL/rWRsPPyb03RaD74CvGvmv9QZvhT/CWgd8D8F+M/bvs8cS cAlUA3lvaELKOk8gu4hOGfYDsP8N/jTynCznxJnIPuRrKPQW/Eb8N8s4Jx9A Xs5aR/SLkZ+AX408H3k9qGvimqHaobXu4CnYDMtyjivX62MzKvAb5seuAaoF +cQ7n3i3Dp0LiqFiOTRxrB7Bfgh8t9B/6xiUDd4LFSNfi3yKzhr6bPpz+nuF iWuLYqxYV0tcSxSDqvA/s29D9s9BfxzyGaF5xaAKeKnyEftaUGf013LmftiX gW+KHCPFSn9wbuicUe6o5qn2zUe/bdpvqLf8O3LuDEPnH/gdyB9CvhN5C/Ak qGYF5+AlzrYnsq7+yJ/gw4n/wljwNGSLEv8lxeQC/g+Cl2b8B+sgn4n/pvh/ HP3LFW0j22X6o+huil3LSllbhGwduH/ad9RdC6EdWY7hFfx/l7g2FqM/X/sj b592jUwjjyPH4kt0YuK5TjbgDeAvsJ2nP5N2DlzlPOWsrVH8oAbYngVfTrnG fZW4pqq23gBNVX2FboV/GvsK+H4UfK16A1Qd+7zYvUY1WLVYNej/WgT+ULUq 8t31Rnor5axyVz1gFbo1I+vqD+kvvQBeEPhN1usske+inqjeWBe8MuMapVr1 NbQFfhvUBFk9fM7Bvh32xdinQseiNfh58JNQnbRzOIpcY1Vr60ET4RfEtlUO KZdmK0exfxP9E+w1IPHfUAwGwseh36YLeDn6M9VDkZ9DvxLxKI3dO3Qn3e1M Yl29+Wn4Xyu696rGq9Z/nzjXq4APqR/FrqWqcap16vHq9U00IyA/pjdIOUbH 4UvVz1N+oyOJc0y5NhL5Lnz9mDj3NVNottgZW6Y/ob+RH/muyhHlSkHiXqIc 6gk/G50Wafcw9bJyfOThKyQHpiTu6ert0pmj/hW79q6GasfukeqV+uN3K9/Y 7370r0N/TOwYKBZ/4HOg/npkmXJOuZfNm57NuIaolmTU45SfUMfQPVa9VjOF ZovHlJPsfRx/t+jtkG/NOGeUO/pT+ltaO6fapxqR8cyh2UM5rlxXjZis2Sbx Xaup56s3x76b9jgJ/0HiXqA76W7q0erVjXVG1bLEsVOOKlcVY8Vae/6QuCep NylHlavTY9tqhtIsdXvit9nIftOx/SzxX1bMFfts9tyU8hvprfpEPqt6knrT Bd6sKnufQp5ku6ept2mGaaX7JJ49lfPK/U8T/x3l2FH432P3MtWoS/BbYvcu 9Vz13v3oHE25Bh6AT2X77dUD2yEvSVxbNJMtSdyD1Iv0Z2ZrNsNfUdozywH4 bxL/bdU01Tb9Kf0tzSy/YLcm8mynPd+IfCfdTW+QRJ7RNKvJp3yrRqpW6g3O Y/9s6NlKM3KX0DOQZiHNZE8pPrFzSzO3Zm/1QPVCzcyanTUjaFZQDioX20ae hTRDa5ZWD1Mv08z2Cvg/39x+Xw== "]]}]}, {RGBColor[ 0.9958744710860367, 0.8596861777150917, 0.5872108603667137], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFmHuwVlUZxvd34Hx7f/twuGkKCMhBaeQAIk0yYX9omZY3QGRAbpKOw0F0 bHImuYhY3jiYpcYBbbr940h/OEhTOlkjWBJSiIeacQSzi6ggaoI2TU3U1PPj eRhnvj3r3Wu/a6338ryX9XXd8JU5t7YVRfFeoygGaDyopxLN3JVlUVwr+lsa t2v8tyY/q/levT+t966Oohgp+jOa+6hZFD/T3L/EM0/j81VRnKINV2m8pPba 2eJ9Wd+Oi16mcZHm/yd6geb36f0/om/RXgu05iPRn+Yc7XuQvfV8Q+/bxDdO 5/Zr/LN4ejSu03iqzpqqtS/o/U96X6xxq543tG544fXQXaJX6fuQAZ7f1CqK N/V+pvZerXHoAK/br+cvel+ePQ5mn3tbPneM+NeJfl30KNHPNUwv0Lha8n9K vIM1/qa2bBvEs7bNNnlGPLvbrONs8W1o+ayx4jnQsE3WFLbxa6K7RX8Y+w6S 7ueLr1P0M5XlejqyrY9flmq+1rNGa2vxD6tso27R+yXPRMnQq7mHNdcl+nat fV7rThe9Q+O+2vOPa79e8Zwhepl47hM9WvRe5K89/734CPsOE8+42Bo7P9nw N+aPtBfFL0RfJPrZpukLC4+/DI1vD3CG6Itq05dLznfbzcMe39XcdJ37X/E+ hk6i7xf/tOx7nsZH2qzj4Yb3fzbnvl177Ubt+XrttVsl/0K9H9L3LRpvky9G af6u2G+Y6PH69kR4JpWeu6PN89gXvqM6Y2Xl+WOi36ot3znVx7Ii5zHp8Ki+ H9V4mr7do/mv6sxBlfGxs7YvLhbPdRqnaDxXTw84GVgUc5rGBuM1em4ufB7n dnRYZ/yKT9HvkZw7QjxP6JlV+OzNor8k+tU6OKiMU2Qgjm7QPg+J533RNzbs e2QYqbktzY/32xKesVr/gHiGd3hvdPyi5nvCB88/m47/YR229aHYFRyD51Pi 64uDhyMNx+atGg9r/vOaP6RxhOwwcqDxxf7LsVXhc3qi40OZ59z9sm+f+F/V OFxzt+j5tdbepPHSNq+F96bswxw0Mk1o+lxy3MbS+eULte2wIvvfHPqKhkfe sd8Vtfc6XjvfkF+I07HS4U7xjGl3rtrZcL76oGmeVofzzpz4l5yMzsQRekOT n99vt77IzF5rRa8HG5JzqdYPr5zL1gSrq1rOfas19jdNIw/rkGeV6KuztrM2 Hzxf0z57GsbqPHJgm2OEuZfEN0703fi/dN4j/5Hjfq7nTL0/mBoxMjmQb2AM rPPeWTlvPBP+6ZLlfD0/bRjXjMiPbdAHmcHdyNi/PzkQPBADJ2Khsh1P2LNy HiV/kkupW+TJ9alvT2f+7A7HHnG3Sd+u1zi3tH++rOeywv6gdlGnHi09v1d2 2t0w/5LCGMD/yEat4xtrkHdUcDIq8pP/8V9P1p5aeW2/9uwd6Lgj/sinW2MH 6g/1sif58qmGcyZ1kRz69dI4IO8Q+9QTYom8Qf5kfnPhGsZel8sPh2t/m1S5 DlGPZtWOvXf19Bb2Cb7Bx9Tq/bHDxpZ5+lquE1OSr8ih4OTF2nWCerFX9B0t y7ym5bpLjC+s3R/QJ1wsemXhXHZ78vnh6EKvgD5Xi2dJ5X3Yj5ggToiL+aXl u1I8r9Vef3ZlHKEDtYL4OhCbrG+Z7m05105t2ubjg0P0XVc6hl+o3d9si80/ p2dXm+vLyOTF2cnzw5MDB9XON98B/y33Une2rCv5hJ6K+N8ZjBFfxNayYG13 sIE8ZzV9JnVuR+KIfAluyZkXhQ+ehZr7VcM033eE5+zsg17kt082HQfzC59L jJ9Gbhros9HvxfQqjLtDP1J6X+JmQ5vzwCsN22BXeIjL/vQn5JL+xOnGgd4L 2cjpyDGDnqm2Hf4eGZEVPZBxQvIw/Ra91prKNsa22PmW+JUYpQ/bHttuJ/9I ts3in97h/HuVznlO79dpfrvGbu0zCTuI/+6W4+uelmNsX3COb7pTN8HF+GCJ WAE/nE1tQaalwRbxszoYGZHaBN6JF74tq0z/pHStoK8lH4xod61EF/oV+pZ3 atv5lcTFy3kfUzneXglm0GNydCE/8Y7s5Gh81F+7t6PHO1Cbj5jF/+Qb+jv2 4wxoYnF+dIeXnone4lDtPpJe64+id9XG7ojKPQ314hPUhYHuVehf/tE0vtZW 9tui+I7ekx4VjN6j/YdS72vjhNp9KNjbGPrZ9AjnBe/gHl/Qnz4QHfaf9Enh 8+dEhs2142JPyzY7qSu9Bz3mzMLfOQt8Uu+J077S+6APfplXOk88pnGT5v+W tdQBaGJ2Seo0PoWnr+n3p0rn5AW1cxcxQX3vrpyHycfglLqO/ScVxvIFhWsV I/GCLOi0ojDOoMHdH1r+tiKxwNrJxJf269Qzt+H4Wpj8MCP4Btvk1LnJb8Q/ eeD69ATgmv6ivXYdu1T0zNJ+7NDc6ZUxABaot/NSW48E78jWFV/hO3IyNHXt jMr3jT218z16k/PpTdamX7qqtMzfLH0e586ihhTO/0ML6/cW9a0wFh6PDUdX jhfihniclXy5OHkXm9Jnko/AJPeYcYX9wh1wa+rwG/TqwtlfNQ6rbZ+htc+G nx6mqpzv6LnmppcYQh3Q06f9y8q9HPSTwcsHwc+H7a4fxAkP/fr8+H9S/HgS B7xz98THUzKHzZnnLr4tPgC/i4MDYgzbX5g4mhY7YMvD0Z178Jr0W5vTd4ON s5L3qB2/bdkX+OSJ0vE2s7Yvuhr2x4TUlhnJ8zOCMXwKvuk5J1Jr9bQa7rUn 5LwpwS76fjsYA2vUO2KVPu3HuTNTw68N1jhjS+4d5NyH0o/Rz7/Tbh0Xxecz YkuwDubBDLVle2w6NbINKSwfNNg6t2Ed9TtRQz5KXTwvGAAn3Fm5f5JT3mu3 zDMzD4390Rd5qGs35c6CnEPSr9xX+i6FD45mj/eiO/PH4q9pOXN8MPxO9uzL +WAdXrB1ojalB7urtH1HJ17GJYbAPLq+XVhfdD0n+vKfA/FAfBBbYxNfyIRs gzu8D7aYmn2mZi/2wXZV8MqZY8MzMXbmHjAua+clD4Fn/vsgp9xful5SN+k9 Rycm4KF3Ozd1CmwhGzW/O/UN7E1Orac2Yu+e3COwz9HE3Z25m3NHpyb3pC7T O9Nb0z/TK7EnNZf4fT85n/OnRIbx+Z+Fezb3Xmr690vn4SHYqnCtG5yc3Bma +dGl7wC/l44P5z84+seu2I/4Oic4fDN+Oxjf7Wu5NlGjfpc4JV7BArEOHqgV 1AxqBLV1V/ox6uTy5OoflNb/stqxTYxvKZ2XycfYoic1jT17Um+xA/8FkH+P N12PoVfGVpuyhvpLzseG9CMb8t8F3/rSLx0JTewsTzx3pvZQg24rnS82p9/m fy56iaGV7xz3Zn/y3rr8v9FKHA9OjGzK/rNr3x24QyAzstAf4Dd6ceo+PVRv +jDsgn1+KP5LIg+1kRoGz6jKeLgxfcZZle8j3EtO9v3kH+575KiXW8YO8oKt FbknnrgzDjAmwd3x/LdwQWW5sDd2545BXzVW+9zc7t6JXuallvF+TWnsd6cn PIk54vBocjzn0m8+lrsifsbf+I4ahf+oZ7tzL6Af439N7vvELnde7g+7U/O5 O4Iz+sSHc5fD9p3BOT0Q/cE2yXa0tNyP1u6jjyVfwf92csXe6IJOP8p/x/Ts Y5Kr4JlYWX7+h6MPop/Gd5PSX22qbJuNsQ9rpySP/B8mdrkm "]], PolygonBox[CompressedData[" 1:eJwtlVtslVUQhXcPnO59figtglxKrZRbLJBgiBDik0oghnIVQqCEa9AXCAQS 5NaWS4G0FRViWzARfUHwwQQSIeEFlFsggFB9oRWUECNBjRBQ1IAJfCvLh8mZ NTN79v5n1sypWrb6rVW5EMJqpDvSWgjht6IQfsbYhn4qhbCoWwgXwQvQv0ZO 4O+D7Rv00iyEpeAfOdwbfWsM4Sj4X+IX4V+CPEG/iu2f4hDKMsf2y4cwGf0u Mp5cHxMzktiJ4Mfop4jfQ66t2Crw78T2N+ffBjcFv/Ed9B7IZny9idlB/Drw BvCX+OvBN8hXjW8vtqH4qntwH3m+wl8KbkXayVdHzG30tuS3yCbfi8SXEz8T vIZ8M8h3C38n5w+BS4ipA/fl/Hl8w5LvGgm+Cb5ODVv53hV87/3oN+qtm4jJ iH0XKQNvBN/jnkKyXoqtgdjLnD/NXbXIJfTN+Pur9uC9+O9kvms/Z6rxNUe/ pUE1AVdy5gyxK8n9Mt/yCv6HOff0JP4R2Mbgm8f3tePbkNxbfVNP9AvkL1dt wf2Ta6BaKMd88FXyLyP/CnKMIVcX8VXE78E/BH8j/g78P4F3FMwJceMYtgec WQw+jj4PmUruP7GdE5+IGQSejSwpsq0Xua8hg8nfjL+Cs7WZufor/iPEvopt MrgEPA7cDp7QzZwRd3ZG916cWS8u8aauIve0Gf118vWiV2VIY/Qb9JazxHyE /oT3teTMSXHzOWSxvkVn+P79xCwvck1V24f8TuDuu/hLwG+SfwB6C5z4nvu+ Q5q6+0wHeg35fsi5Jk3k+hw5mPedlZo3ctzLe+baNGvR3/5U80nuT6JnTXfo rj7JtVCP+qJPydyLa+ADxB6O5vJ/2Gbq28n/O2en8+a/eHtr9LdrJifh35eZ y+JkO/pw4kcXu0f7omdas62Z1+wPxT/i/xrsxr8dKc27xqp1fcGzfpP4BvRR 4nTwzHSCvyVmkPonPpBvCPmGkW8sMS3ETsHWlfPO2Ra9o7SrlKMW/X6xZ00z plkTR8XVGuInRc+EZkM9nAWexn2Veddctf80ulbiVA2+NzJzYw62GnxlybOm mdRs1iFzubsRWz362ui7tEO0SzYlf+tJbB9Gz5xmTzVULZ9PPquZW1twD9QL 9Vy9j9pZ6AOpz3r8Vcmzph3XmZmD4qLe8KjYO1O7Uxyr4K7y5Fpqhq4Q/0Ly LGlmO8DvRe8a1Vi1Ppt5F2mnJmIHJO8C9eRiZk6L2ws48wFnp2bmkmb+M/Cs zNzUjH0B3hU9++K4uP5S8u7Sf8Avmb9J36b/pD94w/vRu0EcEpe007XbVYMz xM+Ivls7rqf4m8wN7XjtevVIvTqCLMS3JVoXZ14j/hneotn8 "]]}]}, {RGBColor[1., 0.95, 0.75], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFVD1vU0EQvODn92VwYvHRgFCM+DANJU5BaBAIhVjCUCWABUhIgYK0xhEI BylRigQQkLig5TdQQhPRAg1KSMVPwE4oaJjRjEVxun17u7M7c3uven/+xuN9 IYR5rAJWvxjCb6zbsAdxCJsjIZRLIXxOQ7iHgE/YN/MQeog5APsUzr4gZj0J 4Vckewa56zhfRf4k7Br2s1gtnG0UdXYO/jp8ZxyzP5WvjX0tVtzHEeUx/2KQ r2f/dFBuA/typNqs28V+Dfss1kHEtmN9F7Av4mwK9gf0+gMYjVzx12Pltlzv JDj9hH87Ej7rsqchJ9rs4VBRNabMZdV+YtLPuqMlaTgwf9rE3IlUo2EeNXN5 Egv3DuKu5LqHsVzYdWt1HpgLsNuwO7Fs8nmTqJejiXwdx1AD4hKT9/PCWl0F 7gN8v0f860QaL0D/8Ug5jD+eCpuavcQ6ghnowLcUSeOHQf0Sn5ybsfTk+R72 OZw/T8Wx7nv8munOvmXKPWy+l3PZbxPdF/GoZc1zwtwJ41Bn9v4IvltY1Uh9 E4fYrD+szf2v9SAX9swZZz5zObvU5XRJft47dd+FPSgqh5otWjfWn3A/275H xh9LVGvPGnStEWNYhzNLjILPyIm+4RtpeTbIib19z8TrBNYF+F4Bv4J+LkGn SioNVuB7linmaSbe7HnOdcmHtenbtZ86VY3J8761IHbVGnIOyG8slS7Up5do tjhjfWtJXOr5J5YGd1Nx7FqrNb8Lvp13ieZ/+CZ2PP+ctXG/2yW/R+pWyaXt aC4t2CNnludNv1nedTP+z5s7+2mY/7T/A9ScfZddm1qXgbWFmJuJ+mb/fHMb ngf+28hly/8N1lk2L8572zP6D6dgmVU= "]], PolygonBox[CompressedData[" 1:eJwlkT0vRGEQhc/lWnfv+tgVFCKbrGgolKIQDRqJRBAVBYlERSu+CgrREWS3 8D+0ChsNCZUIlb+wEYXGczLFSWbmzJl3zry1rb3l3TZJVZCCm05poEPqB3O5 tEb+DXEOXotSdyY14OrgEX60JI0VpBm0V/TOUqvAbSTSEvkRmloatUvyP3p3 6P0h70NbAS3idWq/cHf0bCdRM/dWjLetGYY7Jh9JY6ZnH7DPYLs0DT8E/0zt FO4MvBAvss878w6ZPcm8VXq+4JrUbonLWew+BT9eCk/2NkGtK4sb+BYL5Nf0 95J/pjHDs+zBXvxGlf79LLSb7PRAXM7DmzUV4gaapyRu6tuugI80dvbuvplv 5z+Yz8ODvVhTh7sA90n8QTMPz/bum5zQ2yrErp7Zk4cne7Omwj7/OcM5kA== "]]}]}}, {{}, TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{106, 2514, 2632, 1948, 2833, 1783, 2144, 2630, 2576, 2577, 2575, 1876, 1941, 2831, 1780, 2830, 350, 2852, 1937, 2171, 2064, 2858, 2065, 1929, 2757, 2061, 2756, 2060, 2168, 2240, 2239}], LineBox[{120, 2870, 2637, 1957, 2078, 2834, 1787, 2176, 1782, 1820, 2513, 2512, 1878, 1944, 2854, 1942, 2853, 1943, 2509, 2508, 1875, 2574, 1779, 1819, 1939, 2628, 1940, 2629, 1872, 2627, 1936, 2428, 2429, 2430, 1818, 2170, 1935}]}, "0.8`"], Annotation[#, 0.8, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVzzsvRFEUhuGlwFwSClomdKLQ0OhJ3C+NzEwnMSUhcSsoGHErMSp0Mzo0 OgoqJJT8CUav8ZzizbvWt9de+5yu+aXZxYaIKOG7KWI9HdGcinjKRGw1R6yq N2UbSKmf5dvytDqdjfhxZ01d54w+oy47z3JW/5vsVO/JWrlH1pLsxJGsW3/M E3jxxiveUPHOOeryT/0XetVV92oooIhHPKDfWZ6XOWfnCg+j0Y4h7pO92/GB dnNtuMeAs0H+MzeGS/0IX/Aod3DZnV3s4Eo/Lp/jaa7xJFd5ijv50NwB9nGt n5Hnuci3yXfyDRc4x2fmTnGCO33J9yygkvyf/h+b2zNn "]], LineBox[CompressedData[" 1:eJwVzjkvRGEUBuCjsc1MIhL7EtcoGI2fgNIIMT2T+AGE0hKMhClQWCqt2s9A Yu2sBYmtJZneo3jznPfc77v3JrPzhbmqiChKqSZipD5ik6PMc7o2YrkuYknW 9GH7MbsNc08qYp0z+k91RFrf0vN6mYm+zaI+zl3J2u2wTX7dyeh75glJefck 09xnt28OeT5lztgV2OhdDXYVd1fMq9IsC842cfH/P3nufAvP2MoLHrt/zQ79 ku28Yom37OQNu3jHE+cf2avfM+EDy3xmlk/s4wtPnf/kgP7Ofn7wgN/M8YuD PJJDeZNX+QMI8TBU "]]}, "0.6`"], Annotation[#, 0.6, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0TlIl3Ecx/GfGF7RUmGkg5lr52JDBW06BMLf1Ia/doIHYYOQ4KA5aNdQ OihKg0cHJB7ZNZSZbjaEYirVkjbZsXihptHrGd68f9/P9/McPE/25eux6oQQ wiB2JYcwmhrCHNenhXCVa3mKX8vfoCQlhGLckE/KX8he4hWuySvlH+QVPMZV HJOX86j5sd4TPEW5/IJ8WF7Gl3ARBfI4l6JNrx07dK7Ii2TFOIfzKMFZeYwL cVf3HraS3E9+wDkbWcjBQcSxbfcPYxjHun66fB9OmjN2hpDrmW+dT3Cm+VT0 fOfdnrMXe5BnTuJ83rLf7/oM1Jm/8Vd8QY35eNTXSXCv07wkX8YK3pnXeBVV +KtfyZvRv7Dr4DzXd3KD/CYa0SnrwIb3z9c7gz48Q4/uhN1HNOk2R/fTa4ze we6B+T4+20+jTzbDs2iRtyJRdks/lbvNXZi3/44R2QL/QI+8F4/Qoj/IA+jH IfOizif9n3zYPCR/juHo/5rf80j0HXDE/EtvRv+h81H8Nh/jP9H7ye/wAt/m ef4POCRmDg== "]]}, "0.4`"], Annotation[#, 0.4, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0klsjWEUh/FX0XtbIsEG7YIYalx04lbQhFVriFgglpeFhg6JYWNhWFhY kJSFWChKsGgsEEMsDG0XospC4ppaJYa2aEINpb1+7+LJc87/nO/L+733zkjX b6gbFULIYFkihCvJEJbz37wQhrBCXzguhByMRjbfIv/jEQzjlp2bKPbcR898 QErfg0myOThi7x1vNHvPm7iGG+w854PmGT7Em2X7+QDu2ruHCWa18nXqBJIo MJ+GLWZTeCpqsROXzC9jutkO/X1epX/ANd6zHRX6a/oUX+elvF6+hK/qO9VP 8BTbMF++APOwCAuxVl7Ec9Gmbsdwbghpni074z2z+Gy8B+7nRuc5geOo0ie4 mrOeKbBTiH36N/war7BbXxK/0c5JHtB3ybvxNn6r/Ae+46L5T/N++RdUqFvk Ke7V96HMTil61INmSXUe8uPvG+9J1hq/W70VWd802e+eVj+UL+ZyNHvnrng+ dMgfI0d2mJtkp/FMfUe2Ut3Ce7lIlsELvMRRHEOHeZX5I67mRtkeZ+rUr473 jTXxTPFbzPowUz0ep9QTuTWeH9889xVdsgEuNm+Tt6NJ3S0flJfHe+OyeId8 jptxPv5H8Mn+Z5TYv60v5V/2fsd7xhD+YKz7GYNcVNobifeGSvsX9DfwHwGy fF0= "]]}, "0.2`"], Annotation[#, 0.2, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0TtI1mEUx/GnwfsgakKbCiImZWU2WakQugkFgRJ2EUwwfF+7QZfRVLAG x8RbdiOlOcG2KNRsSSXDqCW1XBRNtCn6PMOX7zm/c57/tagleS6xL4QwhgNp IZRhOz2ELXSq8zNCmME01vX9mSEkuJQ7uDIrhPNmvfoeDDrXzd/NHvAPHpA9 xlt7U/E66t/4hRbzm/ZuoRM3cB39ZvV2Z83r+CM/lPXhK5bwBSW4bf7avIZr sSi7yvs9W7q8TR34k3wOezhstsvlfMhs3D33+BX/5Qke5y47BfisL+R53pG/ 4Je44tqX8Uf2TP8cT/AUY/iXGsIQD8dvg1GMYMv+RecuoRnb+lnXn8E0jsjK 0aA+zpU4igocQytSnFmIz4ST+iqcVVfzpNkpfsOnuV1+DR/0Z/TvOeE5ijgz vq8sAxfUP+2t4J75fdzBvPxu/PfyJL7Fb6Nf5mJk453zOfFe6g07m3hkZy3+ O17lRvMTvnlSfVCWG/8T8tCE/wKxWxM= "]]}, "0.`"], Annotation[#, 0., "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0T1I1GEcB/BH67y0EkHOWowMDjEr30ghy9mtuhwcHMwQDqyk0KbcbNPE LfMFXLPypTdFLF1CcJSa8pwyhywKHBLP/PyHD9/n9/I8d6dlHd2p+zkhhDES 8RAq+JofwhcqC0I4T7FeOT8YVG/Lh8dCeECLvZMUcoIy807z2uMh3FCvO1+X KW6y5c532vQL1FO85Jz6lv5n+U1ukGFXnTbP5Qg5xLji/aMyL7rvM18xxTSv mXevQ97hmZ2RaFdvSR3z7rzMqj/IAzmrN8Me/yj1/hlKzE/RaichS73TKK/y y/k315ybqOcyvXYb5CN52nyfLP3efcIL/QH1IE/p0YvrjTo/J+PuBgt67+R7 5njLGy7qf5LLfCTP/RW5qL8pk+ox74xzj//6d2UXm2ar0f9RDtBtf03dbFbj 97Y7n9W7LR/LvuhvabZAEWn9n+7tkHQuYtx5gjr+2K+Vf+WkHIq+L5e4QDVV DHMIknJSgA== "]]}, RowBox[{"-", "0.2`"}]], Annotation[#, -0.2, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwl0rkrx3Ecx/GPoxy/weIsR25FKOUsN2V1LM6SY6AfZUCZlcVmNxok5+DY /QFMsmEhYkIMHt8Mz57v9+v9eX8/n/r9iqeXBuMJIYRNNMVCuOP31BDG0kJ4 SQkhR5bDK7Lt9BAqUIkyLMrL+Z4znJ/nEv0cN9gbkt2qYzzFRWaTXGnWJ1tC HMtokQV3nDuTwBccohqddi65i5PMrtTJfIZT9Mpno3sxgwv9lrydfzgxQp4U 7SHVXSnoNh8360I/aqJ3cY+8h6v1vdyNE7Tpj3kP3978hU/8Ov8VzfmAW/lD /o4j9x1iVdbMrWhBnX7f2VrO9d0m9TBGEJNlya55DQ++84gnbOg77E9wPhei AAP21mV59ur5G6+o0r/xjjOlWFDfRL8LqtSZ2LWbzdnONqqfo7eqR9P+/xN/ OUk73w== "]]}, RowBox[{"-", "0.4`"}]], Annotation[#, -0.4, "Tooltip"]& ], {}, {}}}], AspectRatio->1, AxesLabel->{None, None}, AxesOrigin->{0., 0.}, DisplayFunction->Identity, Frame->True, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "DefaultBoundaryStyle" -> Automatic, "GridLinesInFront" -> True}, PlotRange->{{-2, 2}, {-2, 2}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks->{Automatic, Automatic}], {576., -189.}, ImageScaled[{0.5, 0.5}], {360., 360.}]}, {}}, ContentSelectable->True, ImageSize->Full, PlotRangePadding->{6, 5}]], "Output", CellChangeTimes->{3.757297742816696*^9, 3.7572977763793907`*^9, 3.757297816288784*^9}, CellLabel->"Out[3]=",ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzsvQeYHNWVNlyu0BMkIWlmlNOgLARIILIJIiOESCIHWyAQKCEkEMrSIIRy FkIMaQDbGBsTx8bGYQcMCLC1+PM6ah206zC7tmWz9i7rBNR333PPTdW3u2sk /9+/zz6e56me6erqmjr3nvOeeM+ddMOdt948+4Y7p0+9ofHceTfcfuv0qXc0 njNnnjgVfSQIksYgCJ9tDGLxdxoEuV6GBcHfP//753///O+f/z/8/D/oZFQ3 derUY6ZNmzZg+vTp8oOjspf/k7xynrgq5SOootfoCLyqnzXyuhk333wzPt0i fger5LnGW2655U1x7kNcH8rvviVeR9900010xQbPd9fm/L+1/geOT+Ob4XhP HIXf0HdHgdLMM8/iS7fiinvoXE3PW2+99df89bfFsVZc8w1+/wvxNz5Xz+18 f23+f1/06N+R332Fv7db3KMW41H6MTeJocW5z4sj4WHB75f4Fnhs72Ou8/+r Ov8jJf3FVP2Mv/+6+F0/c+bMYHPJ54p+xvcdiymO5LmjxJDh3L7yz+T/X92z D7Zb3uAjaZo+JC58hPiDXmtm2vwhfoYKLv8JP9A/ixvifbC05Pcj5/ux50FX yk963HDDDTj3e3F8BBfJ07jlH/jfgU3We+4gzyXeJ+tWgtTo8ssvz4rC8/aj hvKm+J9v83Vg4eNxzZKc9yhNbnQsn/suziXy3Pf4HOY28BG6ocwzdc0S+qa8 wXjB1KeLC3AEBXqNNFYEeqATMOwLfFMM+MkWoRXvUYbQM8R1SigUoW/y/xmP GfIRurHMMx2SJfQH8mLMxpN8k9+J34fiAX03zzzYW9YMvMH/7GxBsPe7m8r8 ry7ZB/uhHBtAyKt88bPiKPNMx/P/f8carHf4uo+WGqzN/n9T9Dh75XVjGOUA pPGKFStW0+nCy+LtZPF1CJx9e36yYfytX1lP9m982XBQv6b8bbb4/3nn7EOy hux74403Qhx+ak2OgoHBgH1+6nf53NfEsZr/Nk8dh+Jf/J5P9xP/mkGllxjK D9VTnHbaaWvK32xtzmcqQQwcmECpv5PEDfgpRjMD/kmcKgiGkiRFFwjp/gWP nFLwW21UuVte9xzfcQFdIc8t5HMEvWtz3m91h56yiEip1GrW8Vd/Lo4rxHeG zpgx4yIx5D/m80+YR0q6ir9bphlbxFbC+NcfiOPP4hwY6HDx+PPF3++L40Px /uhpRrl577OuA89TJCOSmAiEqvENYjlm4IquatzkP4l22XLIBtocce599V0e bxB0h/ruBs931+X8v0Wj/z05EqcICsEIO8XvJeLG5xkUjapmz569g0chuFde f5gYicXi3P3iaBLXHwlw2eS5fkOZ+xepnP8R1vj/j5+zbWGzZJDSX3i5Ai+J 9Z2d8vJ5/J7OVdFrdERg/dCpoebe+oMaz7k+nnN95TmyFXOc+590vzbPdU32 dX1KX5d6zv0/v1+155yEVpsJ4tMCwwTviaPwG7pwVGD9/J0P3HP/q/jgfvoz foXfA0pq1WeHy6v/Puf/K+c86S9efsbnXhdHvb5gtPzK3yf+f9nE76I/E2D5 T/jcPweM7XTBYfIrFSd+o+ccm3HOwG7yPPimA3jwB+SD9xQvb/O5X4vjeH3B qP+hD94sHxyQ+gKf+4M4TtYXjPwf+uAPygfHqSf53O/Ecai+oIf8SsXYbuJ5 cGO6Xl7hMR6iP2Pc5FU+96z7BLmitAf3EA/LfzQmMHZSnHmIbAy2y0H9Q7bQ IeJwtH5qkfAHvmawvlg+gT/i2tnzGGfLc90C64du9Jrng3NyPal04vncSfqS eDSf+pM4CuorzHkHHPTtRDfBKQ7/TXl/731NH/xoJ47gBHqNmn7Sds9zc6ec 2nLDhWODtOk/X1vwGl7EB997evqWNbPObJk6+bjgZFwc6/vZTpLUkTXr+P3P xXFFIKHyInH8mM8/ob/AQntQAd5az3TxffeJJ00//NH9OIIT6TVOtyy9LF16 65nputvOStu/NDdN33t90St4CRJ637x4In2O6376yj3BR/G9ThWmVFIeYb6e U+di6R5+Tbx0Vd+xqT6oaK8P7kpTnaS/+8dNacu6j6XLZpxNlH//6RkBkf4P Fun4QJEuvhCcnId0VjOniJcFgWRuhKLP0xf0lxd447DVOcn4KE8eSFg+81xF AlHw1TIUnJKHAnr5Mr0viszmfcCTMw+4+MaT9QN+mR4wpgdcf/vZ6gFPy/1s X5HPlg3IVuV8tlP42Z7bdYt+tjdbbqRn+xI/G551ydRT6dnEdeNzP9vn5emK Ade8D3sqP2zbp25Pl8+eQA/1xR3X0MO+xA+Lh8d5ECOuO72DD5s3fJr3kU/j R37nxcXykW8enz61ZjI98uf5kUECPbL4XDzyGbkf+Qvy3+YKkeZl1vH8wALe 0hW3TaQHBuzhWV/0P/CZeR74KTmOSHvjGthTsLNs0KsYNc076KeXoeE5CxEU HZsXXwo6grPyEPKkfBQgdAsTgWvxvk09PF0olY8/5JpXMZ3BlACiQcnSaWdo Sp7JUiKoBLaBkrPzUPIJ+YBqSvbxtEyx0tN438KH/FLvnE9+pvXkpFbFkwOB 8dBPZ1Wq+GzN/ItJpZ6T58kfoz8LeHI8rRp3XI9zEmPiFiYGH2N66Ku9cj7/ WZWU41NlVMu5eYh4VDKSLREt/KTqicnIsyjBtVpq8lJydiVKnixDyXl5KHmo eDqUWDTqbJ3rgZORGNId6WN8zzBZz5yknVtGs37SosrSrETVhDxUsatpi0eL Oy+RmqsMSdIkjfQs6ls25KTrvDJ0PWFZDEorC7om5jdFE99EKUhyHlp+t6An h38cNuyRk6YJtqUhFIdtaTzmtzQuyEPTfYYmhcd6mthrdDiPJ8ehyXeObl6f k7jzPZaJIu5Rv2UyKQ9x2wxxttYkiJZ+pcuDPkIsKHe5sS4ncRPL2DAP+02C C/MQJ2sJEp8m5YEvOGEX8aOIZU9VMWLHabrAMhGyND3op+miPDRtdCdsHx80 YX09E2ZAo0OPP6mMhfNA5vHZurk4z+PL/HW1AoiWDJIrHurrGX427IvZrFtO mi60aFpwyzkOTTs9VpuydS7JQ9gad16UsqV5YWZyUKKP51zsmb8OUXhRGWtu RwlrDjbRpXkolGULJZWwT2P5iKRpNAyZl7SLy5h72zzmniJtch7SVrqT50C8 pbb0d3t76CqY61z2PCQnhZdkzCgrTiTNqM0lAkUwOC7LQ+YKQ2aRduaw9j6e TZukYn7MS9KllSzDjWUsw8vzkLTMkFSknA/zkEQenuG+vIRcViYEtL4MDVfk oeE4eWYGvyetdbqhq0gvy5oPl9OqPbTSzX0BZR+Fl5exCNeWsXSv7ACFs/j9 Vrw7TVJoK+dUUTSmNIXFzJiXwivKULjaHyW7+kCJO1k+stfzDYwzMsY8uvrI Dq7qc/R/Opkpxr1oEEK8VnmIvdITdlPErvIY+OK6a/AVuldM93bTVJUoPpHO FUop9tgzo0d4KK01RLp8nDegcVXGULa9gJUeQ1kQfu2BzjJlM0vofGZXR0VY 5RlZgovZOi/BV2eNZ8szaPJ7BtcdKMHHuJOcNQGIBwhcO3um247EVaTqGo9L oCKxy/3m8/UHStXR7jQ6OkQKsuvvMHHFPJo3BHptGd9gqZ+4jx0ocWMMcUU6 /7TSxBXzY17iritD3GI/cR8/UOKOMMTty87c6R7i2F0vZsu8gd/ry7hFC/1u 0ZQ8xI2jPwsvi5fJ4kCOwCZUWjJFctfCIckzPXPGlo2DP/SvCjlJ/VgZUu/y k3pDB0h9l98jQ7naIlXaoY5ZoKfUF/Y6vTTtxdGWvLR/vAztd5TxFG/MPwDR BeLlF+pcKNO1WwPrZ4gcCa8Nwb6w4x+f7jnX1TNi9K989RW+kZiS8SjtkZhb YiTgdk3NMxJSnSR4yBY+p0WbyiVK2xM+a3B86QEojuPkHYAbyrjUczIDYPud N3UA03bZhDe60+4YFRfJ6x2hZgqLmT3OSeGNFoXkd1oUzi5BISz/mztAIfB1 RyArMoIB7tRmrYhLPERylKCYj6OcRE71EKnCBzNLhA9A5LQ8RF7mTpmDWZfx w9jGAlNTzJR5qbkpSw2HCkDI9DLU3JKHmksMNdncV3Clhxq5SNTDgGFOam7O UKOiBCDkljIxj1vzUCNFpso3N5qbfFRxoLSY4z6Sk6ppZai6uQxV0/NQdUHx HGmrzudqXe45xxQWc2FeCm+1HGorskMU3lgmKDIjD4XnGwqL7ICC58kvNw+t fSuK8ZtgT166ppeha0oZumbmoetcQ1dR/P4GDw0Nnpn7MCchM8pErT5WhpBZ eQg5i/4sqaCnlqbFUdp5aZlZhpbrytAyOw8tZ7iT4ujcaZqJeuq/8j70rDIP fU2Zh74tz0Of5k5AVo3eqp+2l4eF3s9JwewyQbOrrDiSRcHteR7+FHfElXiT 0p8pr3YUSk8P6+Sl4bYyNFzhp2FuHhpOMjQUgXDoed7pHrp66VnKS82cMtRc 5qdmXh5qTvDPCHGML/V2q4dCzos4ivQvOem6vQxdl/rpuiMPXceWmaUaD123 lKbLOZeXrrll6LrYT9ed+d1Iv4Lk7zoK8hbPOWu5jQbpP+eka14Zui700zU/ D11jDV1FmY+unnmY5qHLWjKk+fBPOem6owxdF/jpuisPXTJW5dWXoIesMQIC nijH/+njIZwJamPbXMIOXn35gDvLUHW+n6oFJh8gy6ja7CeySRtdPGWpYqnl Hmqs1VFa7P6Yc3rmlyHkPD8hC/NMj4w7VZfSpkpEmByHs/p5zv13TnLuKkPO OX5yFuUhZ7g7JQ46+ByEpaXpcpguL10LytB1lp+uxXnosoJiRWjOfO8ggY+u /h7638tJ18IyFt0ZfrqW5KHr0DLztdbzvDKG4orVf+WkYVEZGsb7aVhagQbZ WicCiB2jnu7MMlO1wTyqVjxMkmMe5SVpcRmSTvWTtKwCSbJhRtQYyA5JZPJz mPatQGGe+DnVkFmkhzd5yBzomc3/zEkmsZKYdcszlXUUp5QJKFQi9Lvy38HC VivCsGQTXPcNfo84NVngHzXEFnmvW0sT64hkXmKXliL2o2WIXZ6P2E1MGNZk 8CIy+v0SnyeRkxYxhY7sdESTlXmR9ZOkdRvlv3HY9w85SV1WitQTy5C6Ihep kVowPtZ8FB3F5/bh3XHunIIxdZ7BV9q5RZN8qOfT3+ckeblFMocvJcnHl4lf NlUgmVv59WDy8Cx2izieEXwEbpZ530oFbQ51mz2TzBPv8HjHRsEfez+2TOz9 7lwDER3L1BIrsBP3PT5HPSczxrYDXg96aD3Uc+4/ctK6ogyt48rQujIfrWcw XbstWt/kc+PxzkoWF+mjRzx0yQyUO//v5qS1yaJVVSsqWo8qkzW6p2O0vmXR +gafo9XCGYvcmdcWeb1j1jGtDg/npfVui9ZsWe3YTKKY6VyVj8zjmaR3LDLf 4XOkiUaWmdInPCSR9UjQlZe4lRZx2fznkX7i7s1H3DAm5FcWcf/G58h6t0x4 27AgYj7pIY4b/jj8+tucZN7DZNoJb1W0cbg/2b86HxYjEPZ7Jquf/jRG3Asm lVqan0l2O16/L5Yml5a59u8Qz3V5B2CVZwBUvdFh2SoqWbWyJp/+VUuyF5iP ooV8jmBHyp5/lYIplvYRPFR/mpfMey0yVXGOKhYb6SdzbT6LCsHQDwIZPkLp Cmrd5gcySIuJJmU7yJ1lp6TBF4t73EP0MM91v8lJ/uoM+bZXOjxTFcm1cuvy uQlzmFS7mgPDcYe6XDqdJY2N5/hpbT+VKXX4OS+la5hSVT9nUzrUT+n6CpR+ X04eapEWB3KpV5M4jjTUFSVQaIJe9JBG2Eacm5egtUyQr6B1sKd6V1y3oQJB /1V+SnhxucNoIzy0/ConBevKhEQaPT6quG5jBQr+4A77Pmvogy+WfnyHo/I+ /nqPi61aWAz0u9ibKjz+u+bxSyVQnMf/gnlU7WGO9Jz795wkbSjldg0o43ZV Iuq3hqiieIAvj/J5DwHcHMlhs3/LSdTGjGMlnl8S1c8iCrrdtrE3VyDq14ao IvXMpViOLUJEkXzzIgyH5TpGivEYbOOrr22V8FImcd2WCoRI1vAr21f1Q4/2 zFN7zofe5LEYlSnV228xbq3w0L90R99Rm6/LCx3PZbSHfX6Z8/E3ewwhZSH0 9FsI2yo8/s/otWSlwO7SFDhc80tDlYpRBCXXP2wpo+kb/PpvO75SrSfev/7h X9ypaLMknKJmWUIO93DSL3JOxVamgZYyZBRGXUblAb6EyttRYSp+Iv9ZKZWH D/WjvuWZA16y4RhkP89JzrYyMdpufv13XwVyfuTOhi/L0ciPT+RZre6zJDmz lpek7aUUSFeLHkuB7KxAzw8NPUUK0Qezuz3njpTnHI77WU56dpTSHYdYwGXp jUr0fN/QU6QLO3nmgulx2OsID40do8eEYWwF0tmPxffncmvzp6ff8JDEU+Sw 3L/mJOk+j3pRjmptBp/hqQuSdlUg6duSJK9OrPN87XUPSb4Ve/+Sk6SdWZUj Hl0BQ3UWq6XKeaACSe+4s6TyFDQrP+ZHsLUjP77DZHkf/34bpjOqppCBaVY1 zRUe/5vyn5XSmPhQj/SPPOTIsK7LYPtykrPLwgCGaYkBiQfTxEUPVqDlbXcq lH9iL2NwuGav59xRnnM/zUnPA6UwLSZ6IhvTgocqECMBqqTLWO15zh+Wpsdh t47R4weA0I9plahqkm/KLUB2oNsyhbXLQvEdMp7zEtLssTSV3FitWiBS77y4 +OF8NDjLw6zUbJE6tdxeTcM4z1T9OCc1D/oNzg/8tuYjB0DNyYaaImVqRVGy 1DjaKC81D7HQqGgLQOB9j/yLzx89AFJO9E8MaRQ0rZWMdKz+K+9jP+yR9b+y mFsub9BS4ZnnyDdIGKL1FIVpq+g1mhlYP2o7I5s2uSi4erxvmgLTYIYjtg5E y1JFl//+OSfpjzDplpkT/NkDBwI2clIfMVVygaQMaT5fiXpe0uV1VRntffFM 3zA413VsGFx0FGL4xwyosGX0WIWRuJ2fJJB4SJhYoNdI13+UGgmJ8SW93vc8 hFMmnhg+L7mP+lHnPb/Z8fgBiKq1frhIff/JM1HH81Pa5sgPc1LTknGnwMPv ZcRXfBY8cQB0HO5OR1Zz/6U0Kc65vKQ8lhFHIYLBf2bMcxbHStTIFicV1gb7 FfUH8j6OnXGCoUCrih+Uoeo339yQoaqI3X7vUXJCZRO7hSCxMnWllgOP8E9b CweAUg+BJ/KD2xz4fQ+BbKxhMd67axZeTorhCZ42FXKB3vsPv9573EIaXL5i zoWNgW7bUJrUA1r4q2fU13+NV6M4/hjPssO7pQchoUFYe/e0tOnOy3UxwuMe bfqux2iW1yXay8Y9tq6dhdEoNxyylLbc6l+/5UZ1OfYyHIdwnn1Hh37PQ7hk 72Tf/n99IX1s18K06a5rSWEIvtVsnlEiv80oER6nx5h8smPnXKjIT9/9eWtQ GaRKrf0tsh18fWF4zYjD6id5BuW7JQegsC/9wz+k6R/a0rYvbEmbFl6frph7 Mdi7hKj/xq9Z1NUsCHQjccMQd648Bp7Vwf4SQ7vfj49oh91LE12licax77uf TpsWTSHCoV0es9heYcBvmO0tv5e1VWIDQLp1zXTQLa4sT7isNyppHBCdh3jo lPWXLnd/pySdNQ6dOARPEq22mNtal5MVwa/8luOjfkknkuMKJD/kzmtqGxJE b3cPbdx+xWHmfypJb2TTGxDziYcFzSTh86/SNNt2kxVy+jdPtElcUopsSHhS gWzZob7Kh2TqfVFjSS3fvu4zRH6Ce6i8h010zK82pGkK3FSCIPKXmbA7ZxEe LYNoBfyDas2Zmblhoq02sEUajEtgHFGlAbA6AeoBOMXDE9/OOf8JD8XzT66S wCaGQtD/qEer/dKj1R71Q1p1hfneYUgvtUCheKV819KkO6ZNXtILTPq33njI xnRFuqXTgp/7ldrDHnDjEQhqKgxBpqesM/tELi0sIQ3u60D0f3ISWcVEZvBb OcJU+SJZPfhZxoRjreUjUsFZbQUiN5eZZyJyoCZyvPyew8TfyklkdZbIeZMx RY9kmBiY/a8eJn64BHKJ2wWdKlBodZotMkaIwkbP5J3m4dq8tNaUAeyHsiaZ BOx9GcBmv/6hMoDduQLZ61zuJS9jmt2gfoiH7PF6svMSW5sl1oC1jr7ZXshP MyzMUO1QuuxKh9IuFShdTa/eXryYZDWHNtEOanPDIYev/zEn+Z09ekpI7EMe W+QnzNfkNstKD80OEHKCJsEqAue7VqB4VfHcaswt2fH50NKkOxfnJb0Lk24b 3GKmH/SbJD/y+Nbikgf92qlbhQGQW0KXjIL4VtDZou58QE0TiOfzUn6IXy09 aAWbVdjnR5mwz66VVwclaO5egeYV7qRXTEITwYM8BHObNYffv5mT9K5+ZfWg RyPvzcw4Q2Bzhnp2NeoqUL/UUF+kp3z5apt6x7Q7w3NxXuq7+alvzqhq4Nxe y9NijOOUl19P11egf7Ghv82rxcZ5aKWZJtbOS2F3plA5WBkKVRhQYFjwA6bQ srhKUigkJWioQCEVlsuNb+wZDltUfIzj6Y4jKbu3uLz8dk5a67K0CptE0PqA x/D6vt/w2pUlV9xBmSU9KpA730xokVlScpuFcaWHwGHovENQX34I1PImTPf3 7Olm9VWO/p4V6J9n6C8qQCmUov9oD/20UIiYPC/VDRbVUNxsjO7yTPz3LDHm cDAXSphu4Ipq2Cq9KlAtc1KkuHx1KlZPGZenz/EQ/mZOcntkyOWgyS6PTH/H I9NZcm3TrHcFcrmqueKO75mmLW3TrLWbdPl4Q6v2LHlMHMbPOyY9y9joOy0+ UHr8Ox4431nGOu+Ta2By7YJ+rGEZn61jNX5yh+dcz7ndOYent23W8tCoOjnF MtKuC77tUfPi0vvKDE7fCoMjyS/aGjyzaDvlgTAq8GwPxecxdbbgvJFzFGgS BbnWKGjmANyBEWDZfztj5IE57isjNf1y0e/fJpvT8l47SPwo2s14EDJOkLf3 VfRVHIW+9igIKhAz3mnbe2LSsbfDt/xBxx1lBqJ/hYHgDhee+oUap34hkGvI iraW9mTxtY612oq6/ekVFgUSdaYEJq8ThGljfRTE4zP/nMZYdvpzYfv1Do2x q5FU3TB7FCo88i3LjVSJZHuMcS2+vrZpGo3xgHxjXLFKQm0fG3h2wraWX5eq 93WGwNLlNdlxbsPnYpTT8cOTdMqJ1WnLlC7IQzzYIyikmXFXBsJE+T8c2/e1 nEPfz2/xqhJiFaiBMfCOxwrUHB47FpC428AKA899QkB72aIMebl/J29rLbg/ tiUxs7rSAMdp2twj5kFumtSpqfQgOxiSd5D7lx9k2878R4+duSPrM0obc1CF EebRwbsneeT0VuKjzMgVmZ8WDHRqDFz23Fc0eh/vkrbNE57hAz0Q5VTDmOCi xswQcr9TFyO+nnMMB3icTyHs2z1W6z96rNbt/jFsrDCGssa7aB90Wc/gr7W2 nLXaRh46MFSbd/g+1iXdd29dAePnDJ/gyhZ+FM1yk+STOXLO685msEWwBTSU 23PCHtKBniEVY2Uvh1CW8Tc9lnHRkMpQxqEVhlSWIhXt6i5Dk7GtrEC08X+l 81ejOJHkuL6+noYTQ9k0sVPaNrdbum9VHfJnuzCezqDG6fgRyfjA7EvI4+n4 WTyes3g8t+J83vEcZI8nB8bEeG7zGNTf9BjUamWNjobKwNjgfE5GxU3rG+lc SUO6pNNNlUkhfbvWGfyAeDlMp5xQRXzcdnu3dM+yAem0Cw6v9o9/253d2qzx v1D+SwcOWg9i/BuzgUkZiN+W8fRgtr/tN9vVWi2dMpVTMCSfO0N7QvPInKQ/ jUfzKdTZwbWX3ZT8q6xLuv5D+UtBsblAZlkoCKSJuL6zmIiukID7G0Lx0gOA ccHhNDNiUpBv46mpwtQkNDXiuydV456ELTwvTtT0YObl0GyoXM7L1oxcwLx7 OyMXn956o15AR7YIJuWua3GrobnciJp1PIJYDHYFDyS6if+Yz1ODkQrL+mvM rOj/YrKDBuaLRGP8sMSeFTHYOxsSe2YmnTYG80EzU3CFRs2MmhX8XOhhD+6u 8JE0TR8S5x7B+Sp6jWbaM6OqWz0zqAwnumeC19gzjYNTk4lfOOfy7DSiaQwX JARv8TTi/YJpZ1FcYYs1jeQSC5fyqZblw3BX+ndV9O+96zV5JTWkQzXiEHei cyg17Koulw02y+SspaTWjvdOWJ3AsuPFZF0nJmtO1zS9r6HWnbAwbb5paLVf gITC1tPEGzw4wPaYPBddfvnlKScjhSwSxc/nnKaKgjbE9lWFlEBLb/UYmW/y 9Fjo50yP5agOryBl3KIIQTtEsHeKY0nAcQdrNvzJddkag8SnaEbGDespxcfM SJVnSliG2tf3ycgQTU6BJ2fR7OvGqwf3oRvLECbrdPGUOIQzQpMz2hb6g5mc odbksPHKg+6GU97MFADAw91im1riu+xjVZocq0u9MlNTRxzIF5C6vbMz+gHL gzMDt3VNp00cne5ZIvyZHQ01/tlonduYNl01spyuEbPRpp6URIUCCC8c9Nha lqxQEwJzNns0zJsZ5wAb/mzOahihpMStRlQYXpl6qPY6UYG023XmXbVW8bA6 9Hcd6W8M9LWdMbhgZPEqRHRNb6kkxLta/4iTdl8+wMf/asQ33nGpMn6DiyUJ Djg9dxBjP8zW7qb8YbMVI4MawKjv5rFHkRpHD5xGC6QWpHYfWWHsude/1wMr WQPQYNjd9SM0uw9N9Cy0ze6K4rPtDVUYfAH9U4ciELOjAbOAA/7ufRCDzHwA i1ivSwmoyhjCcj7EX/us+XCe9nP0WnhZUDZZnINut+cm79QM9+iDzRlrGPrg DY8+2OTXB6MqzMtpzOe3eFYOWWvf9dfsmsGyQoHp6KynQ8G+kA7MRAksAg4B jzySEXK0Z/99g9Lda8YBk3BGRX9oUgiWeCreZZ39NXGs5r87MhUjMugPVN9k xzcF0mN1yRuZ+I+5rgj9K02FLDstX53co5JEwMO2p6AOU6DACZoAGkGDEwlD oaxyJmEoYArEV/bvkKMPecAMtCw+L927aRQZSJgNDiL5IOuz8twFt9566y9Y NATPkMreak9GuQ0PiyfIjdEJfNroUSFvWCoEcWmokI0ZzxHBEKFCDqswR9bm E0WlTGaCSonGcWZexHhvA0jdSCC1rQHThMOdMJ6scjJj628jMyFNWEFO2Opx acui89JFs66j32LCInbwMXeYS45e8bw5MdOnJcVdmdLUkqXcKmdkNtAiVc5G j8p5PaPuoXI22CoH1XZS5YyuMFfHu/LkzURKJCvhECoFo6ftEDHy2+ppvnhy 9izqT+9o7pKDsAEooogJ2148YeJ9qK2DMG1tOlXcQZkH+DFG2TNyAHYdiGEw iiGPKrdZ+2y0tQ9nzl7zaJ8NHu0joPPwClMkw67ebcLw23gedA+Je9XeibIm qQsmiaUK8yPmSb6r15Pksw5KeCscITMzFVkztXfjqOxMJbYfA9lqvmUooQBv sOeAohSuqGr27Nk7xPkrACN5p+swT6JzQ0ZDwVh4zaOhNlh+DOeAgiMqzJWM 59b60rhKxPB3E88hTZuMa1awos3MocBHT13TFSPS1tsas1OnBE86NbktCWEa YsJaV5xKk4WJ2X3vOMCwY3rHZGBAtbF8+SDxSx2aIVdFqY6PGRX1mu1Esopa n4kvcwqk0jzJRCWthE+VDPEc2TLmix/LhauU48RUNQV2EonRcNoph5BE9bWm aty4cYSCMV5JgcU0ObFtceCodmcr4tmi73NULVSztU3M1nI5WzjEzMG8zwQK oMBmTblonyVgTor8izmnarRfQ633aKivezTUOn/I88hcU1WwRcoWrcRMkeY9 2gmknAEI469pQi2J1L6m7hjP7XKe6llj9dNzJ8SLxAxzB9XW0N3MXQ4xq9HG h5qsjfMulZMl/sY5dqnYgKyyUPHq8YOarElzCl5eyjlphzMCKk8Wimi9R2G9 6lFY660wG9DzqZblwZhc05XYUqTRnGu4HZyQ7ehjJU5qqoo9pUOAUdvrY54W KU4SCzuzxbG1vpY/tc2O4kmj70phC4y0kYkPnbVVztPVV1+t52nvhlGxNvQd KGy9Q8zuNSPp6r59+17iITHvVB2RcaeAb+s8yupVj7JaZ+El42AwNp9kOco2 kO2bIE7WbOlvyp4YusCjySdYynqvxXQlWooGsRTVBzRJVZiuav60/d5e0hjc RibGtoZumK6I8bF1jhjiK0cU42NIM1YlZmxgunvVOEey2pYfAZNEBivIcEzY 3G/f2EfP2rRJhxM3TBo/JsQJntC9m0elkyZNagn8gGk1e80xoUWAudaj2171 6La1HpP+W288lG9aXbSw9rvVX5HdbDCVQZUtejpGCoRsu43cMFiDYkZoSqsc GetH72gia+0pbb5xiHTZtlHcLzOlFmzqKa3GlGI2t7iz2bLw3HTv+lE01z7X IDGuQU3avoEn92pncuk9zu9pGhAo0U0f6pG23n0qrhkf+FHW6oBbdqaPtN2C +VeRSKpppmXqQgciRf6qVVaIqUcVx1pLxGFnCvEPjqowx/XyjbOpURc6Rwlb pPDQsQV5QTaVnVBcbO6sSZNdp0oAsZixUw+RRor0BBLNEzXgiWJBridBru8C nigUcQzh7raGQwxPuIGXUHNFTFxRkFxxzzjiBosr4lImEsG1gBrEaYgp5jFT XOBlitjWvWAMoX/bBg8eHPgAPS9XjGGusEIv3P1cFqGhnBILS171WEtrsrEX adhWYgxeqY5ZLLs1FC91RgEYPv2tde66QDa0Ta3vovPdOeq7vqVYlhmmh0W2 KnWqAYtrLDi1H2Gutcd5X4PWz5FmtCowWiePPiEd0w2MJo2DmJiMWEkaCMW8 BnUCteLyGrPZ3nWjHDYTbBdlrLrO2qoDfwGJ1HvwFyRA85fguz0rBkSugReC x2TWaAq4DD++gGBrBzmNqkRkvkLjim2Xv2InK2Qxr955QIcl5ILFoytwmowK 5dubiznrgsBU7LFKqvmY4ohAZmywDPAf+P1fAy549hmOVlWJPkc9hL0qzapb ALtR0UJMc86wtLQ/qybFbjHYratH15GbUA92i5jdpBc+SLFbDditi81utsFJ 7JbQvxYO3OaBacsCyWrQd4LVoC2Z1wR8IbKiWItgS7AWWEz57qwEjV1qYxib McGlcqicGrsXc3LWWNsoFdoJGd41Hv/hFas6AhyHK1bbRqmM8Qfj8rFVrl3Q 5Feq8RUUxR5n3em3fN1CfVm8hk+ho1SsGIgCgtUe9pLdtEgdjg+MpavLkk5E fZhVluRwVPtaE9w0HBWBo7p5NCXi3PU9wVEhf0oZBnGF/pR4ilJFIfOUZRUH is8AnGCp1mWniK8JphLnoDRV+C6RVnP7ut6CtVpvB1uNEOw02mKt0Ya1ZFDP RF6riuBLWE8tl1wiVaQvCNQxJrOCQDLVvboCn6E6B1fc64ksCF2Zj9Uq70In 0Sc+ms/9J/MOsxU+/ffAFMhJXEpsGNehv4JnjGQvoCow2pTAhqvhwgK/QFjg c0k77pL+qaq2YmWpPFqZGKmnMAYFM7qDaZA6GcJhDcFcOLCabSs4zFKRFJKS StLisBrHSN+/SXDV0lPSjXPZxVp2CjhN6W3B8HCdBEc13zRUctXE0SFYiuKM I/DohGjFJXxsxcduHo3YLGI2E7aY1og+LflCTjY7ymOlr7ZiHKqQ0odl93qs 9GMqMBgzk2etS0Gtdcm5HyArQPSX6qP+CRvxX+HLbghc5lPGvd4DwFKimf4X mvmgL53647Y7iPkeALLtkkqpoDmQcwPMJgaEsrxYl1WiggH7MBvaijXWQNeJ snxd6PYvzx+eTrt6guE8wYV7146iz4Cz0NwEZVcS0wWS62J6D2bEZ+KauCig apcpxmVAbs/dA/R4sTfgaNLnc3Lf0bY3IAFOc1Ul7luVQTj2BnIyoGchUKIW AlXch5F7fb3F5643bEbDoAshfH7mN+i1k81ejG9UnEv1hcL5Ik9dDLs4Giqy GycOS7Nbd2WlCcQjlDufAvHEbu2rjNYtaNSrJnbrmu7fKHzMu8dpViO2u+kY rWrBrFpTir/Ji5DsJYGwuqi08uahiYe1FLBdPX6Q1gMMbI4H1VHWoiAvA1s5 1lLmP/bXWZUBNgGOwbEV+IqhZ3xQtM4pUR5mxT0vGY6wjHF6wD3GGP3QEPUv Fg8mHtbq7J4jXSCXP+rUjGG3Bma3G7qgXJ8Hn0S8edpQCH9zA7hOHT7u85ld xk/orEOapHMPYVtui4yJ4Wuz2V/dyoxHOEfcC6/TYrwpU6akkydPTsePH6+g DDynPFaBtMT5VZrfnBCIrVKjMip139o6uAY0bL6k63M5OW8ccx4ASYU4VuXk vHs8oCYswErMx61BKm40Khms9l/4HHoRglKsybkskLta4DyczY+YWzi2WRfD ZLrk+hU6V90YZELgxGQfFUx2o2Cy+d3E7D8sRztSHpkAOAAdQpAlQa4oQCor XmIdeO2iFOf5RpnWcpBtC7hqKxSp9akOwFFgXSjVl+8cTswGvxPMNuvjF6VX X3Cy5LDbBIct7p+2r+5N/5q5XVZuEstVFaWRoUNV8t+nRxXLNV3YSbOcrz6w oyynYh0Au4osx1G1e+yMloxzBMfl47eKO74yoD0fWMqW6/mhUA9Vt6Xvkt/Z 1YyCFr6v0rmMOyDYYvxI4Q5c1Cltu6sbcOcRlF16GAzJjUnjARqCwSLNYAkn uO7TIQldf7Od3ELO1HS1vQPBQ3hHPFUD7qryfBrpQEgIjxV+5W2DdNJ01iVH p+eccw4B2qKZ16Utd51LvCd4TCpdN4Ma61BcVWVky7BZzGx24hH9y+rUZ3Oy 2THMZlh0rZDtnjJsZgdvV/qRLSenDWPuKbn9ruS06iY+h35/K8SBuqbHxAHf otowpJO6Yp/XwfqXXJZrUQxMiHaycAIWdMOIP4ohfgTcZvOdLKKL2IwbDbaj ghEv88VZJbqdrH5mvm5af1bjr85guYI+F8J4g5PJmhSHdjIL9BYoluG0xNh3 kQrJGFYrgWh2sXPkhtcKNqvBnhg+fDixkk+JPtNBViNEE6iEGNs9ZWIfxaxm qpSAaMfn4rO8+x8zG13MV34G7zp7qPU1yVUblVrsBO54rKcY1paeMZgqcpkq NkwVE0PtWdFf2WXEUrFWmAWdiFIwsrifcQNI53X3aMsEr13BXEgGC4cAHyiu woXC3JJcVSsju+IjHLhs/4YB5ICCwzbOvURw2NHai6iSsZPmqUMTF8YyDoFP RyqOGj8iKasjmaOctW20mtjXcPdY2+FkR3JlB9mKFKUMp0m2on8Uy1VtbTZj u0G1iltLq7p5Pvdji6sc77rOcJUGMQnhxTrynDGd0zsuErP8eE/ILXMZRL2l B1hNHeVYDq4AcjftG3p7WI5sNL2MZbVSoT6Ws5XkIcRtieS2hQ63BSpKhmuZ 3cQ5VCDVqO/TQay35BRiO7Af/hbnrOBdlQVztIigAszBcONSdq+vIJlSr3BW iXGzjCAvvilGVDkEZL1XlslO2Yx4t5VFV4UtJ+TLIeTa95uf93d8jnrdx9RB 191PR9664EhjYCoGu5uh0E/0Wf5Klk2nnCJ06mJ4CE+AT6ddJAybewcYrg0r cW2c0b6SawGUiN9X4FqY9QBKGStTXNuVzbgtULY3DOlEDFujIZEymoh6GCYl RpYqmb4lPdtZlxyVNs853eHSvfeOjPFxor2QAnOqnfKPS4Emrltu6oszth8p 5IThUzj5LaNGjWorpZCf7iDD2gr57gqJ+7tuOsNhWOVioBNkJYZl7qm4U7va iD4odjFe8zCrCvVmy5GtnRP1UDxpmLVJM2sPZtYl3cSof6Kn4tj2+/qmk04f k8HZSDNpxjWJ2ESEFm+eNlTFXHaRaW9ZhwWVKdOBYdbnxDidubpoC6qNCLYE mIp3PlCNVAzYZdUaVvr71w9IdzcdrZlUaFwwabVm0oINp0UOioHTgs5p9NBu sOBVn3uiWDSQ1d/EBT4Nn5dFj8tEkxFQaSrDonbFUVM2XybuIRR8JS6VbJOg dwZal97PrELtZPhr6LBzDR9BTK/RmcWcGWcXMqgVQbajRk0MZKDF4cimSzun bUuFmv2UmP9P9hIM80lw5ifAgMSeAFOAKtgzzG8GGF4l/4VcTjY/d5FPU8Sw iVrVakLQdBB3ru6V6KBgLTFenGVVyaaJF1U7MwJrXr1d8mrL/HPBq8T5fBvp oRvGVehqL7Eph65F7k7BtQMStgOEu0MhVZ4zYwd0lGeRf1O1BE2Wfi9VJYdi yKZMLQHybydWYNgx+gl7G/7SRuuj9FqMeE2Tib/E6DzZKwKXEYc5ACg4K22e MQyHFwB9TGWFmWFbChszclnKaOmYMZDVtEmOFXiit6Dm2YN7JjthcRT/7poB PzCSxVDyrq6nVO3nK7jQwsvJA4jC3cHh09kF4/KgBIoA0KezP9NB5rJLoJos 5xhVtViMqphLNduzmVB5O+htnIu5Ms/KbObEkB8sxWaXCTZb3l0Mzad7GV7D 8H4SuNYTR+DgGriOjUUL13xcZ3k0iZPcoCrIq0Zk0cywXsKsZ5U0BRTdS3RK A0saKrCcYMugwAxlqeqgVvHgOsGDK1weFDxZzV/RWToVfSzmQVspR2WwrcjH KYFt7OOomfMVs+RlxOPtlAjneVfkLONfYWlw5e2clI8RnbrlPp7nlzvfVClG 3KcZ8XLBiCuEPv1ML/DFU72IJSOwZOhhySIgbN9B1mBO3yUbOazKJt+k1l0u ta6KANsWomJRe7FOxAsLfOEcD3N2scAOilR653gVj7O5nvhz76qRLn+uOBrD s5mVeQQ3SVa5F3NpovybxRn/psrNEltIyUV+Ph6Vfnghbd/cB8UI6fC+NeMD nx7uKIeqdDEgcIUntP11TyXCck+8sRKH8qbyjp3bz3CoPredXrXFZzj0is7p vp1inD7bWxzgys+AP5lT84MnGYYXHl4BPC3mrC5iTsGUjCe9NYRGrkFYMD6L rrICn8BSUxldmx8F59QxS+lTZC0KXkOJqODF1sWnkAGIA3xIXFrj0di1ugo6 yYmWFV2Ygr3aqX2TXF7Reietnwkp11SgtKZ4u4+n3eHMjIr8dE4ePcETvFye iRkhePl1T2J5uSd4mZNHHcTs7+HbzYZHpwRKnfeUPDrtEjF2m8T0Pd07BLNi WD/bC9yqjg7hawimDWFkhgcCrTF7McBSigvtoskv4ldwuXBahMNCB1XWu8Uu IS8Px0ekyinHLF67c+iHGHXSqUIs7umlAVQwLYpQZ6IIFQyMc7iyBq9K1cOA VVHSTn7mtYuno/Igyp5MhnkrrfmKiJ2BrsDZkC2CpgupaUo5i6CjvGzHP5d5 fPXXPL76Mk/886MHwMsDXF4medwgn1jhLfHxlNNr0raVApCeEQD3ud7pns2D wNcYlqd7Y/wlBitrgYE41Cyd8ZgizciAoQs50vkYgXPHDIXEh8VByO4Fc7VV qpOQ/wvUs8q3dLRdFjsMgovFxoNbn5joDCRhrWChl+cNS6ddNUE74szSXfFx lQ3FC/v5uFmZBJQZ5/qhDjhPtKobBs6GPoaZs2vcrtHLmWjcqpiTGxsozaKC KxcbrtUZlSc7yMl2YHSZx4PPLtW3r4MNjNXECIzm4mSybULDv/qivuacLs9Z Q+eSYny+sjN47lkg8zN4+VxvManM3eBteUjujnJidVjE4mwME4vnsTCKas9C tnvJCl7WXxVOy2VwxN5U9eqreNUliXOIr2N7ubRebqCgu2CgO5I28OZ65nT5 qnw0xe/g/Sdnj623+Z2geUt9OX4vip4WNHqrnkq7sHDT6qkkoVww+p4VA+x1 e4E0NyJnMWeUCSgkKkyFH215MM87PtKncvL8iZ5I61JPYOE1T2BhqT/Smg/A E5X0tOP3NpBr8uTmcTrGIIH8DAHk9wggf653BL6PDN9HtqUSSFMlsk2VoAOg zkb1gYF6sfcHAxvGNZf43k9tFXY26NUqKtyga28Fbwmgl5YBveo4LCW7ileg q6KlhAvmyCTJcjtFxYQHCKmAUSOMG2y6s7m+YJnqJVg/9nh/iWZ9C+o7Od6f WtalVhDSe7OCULZhKWh2r2J2t3ocafbmXq2OAdBRdldBWgRfl3qcw9c9C3GW eIK0J+eCeLlhb4vtKQySVznew4pS6H5VF4zP832iA+P3sCPeZJQ1Z1qY8w8M 66u0he7w91XE30Hs+pWKm1ERwI6fxc1Z7HZivKsQ4yW4b50lROHyEfSuAa9J 1n6hALOXqVWVqIepQwiubngyQi8uU8wsyRoJ91J2sCm4HK0AvG0+xeLwoznY Z7R8soMc/ebXdqYLZ19KgbYlHvP7DcuVVNncJbbRwtncShx9hEFo7TYO8TCz 2v/QQe0zBWrfS/UkL4CZizgasy3M8vZH+qWTzhhb2iz3cXQmkRGZBK7i5coI HnrNcmQ0kClDeldMuQz7BtbSr52UQdsJK93UbBVhdcHibg4CB6G2VqIy3C3e 1zB3ExMv6EfvOuM1TD/cLM34yMrDkTUkY3+ddfQusk0X2/E0pkssWR1R9ITg XdVGkMTObWStJUPPXLjgDT2rBMiUj1K3NvohU9dnrHyig7xOLUe4ONpGZWWg v+ExVrK8jizIgfD6UMPrWlYXlgLuq2knoBfB5kUM3zFTPeygqQ62b98uY9f5 DBeYIg/20EEw5X/B9wLOgfmFENBk6zosxAklO1C/mkrMH3rWi+SJTHdm5mdb xQRaYjC/+ODDTfX4y5j4kS72ob86uTIQe9xV7vkh3I+QVFOi40SWCATys0iu qN8pV31m4zS8xDjyKAFl1gTmR4Omz6zpqGDQEuOF11N/qyUes2Z3JuYNa3+x J56YUzCcZx1mnlULhtozVLy0OEpgDbFFa5+MdIR+A6f59uFp85zhOQz6XOrA ipQXmTXosrO5jwoBawmwog9mHV9koo4yBumIQuwRBVMOHmdrd7ewq4qg+HoZ FKc6XA6Kd5NYLxg6kfz9IcKMgu+DSHE+cX9sNIFr8YRl5ECWI0lXI0REiVeY Wtwf0kqZSK0I5IYigtYq4+fGdo+akjohwSIi5cNqaPVF0584CO5f7DGB3sxE IKEWDpj7SZnRrlJUonwHc3r6xV4S/gUXtswVs/YFSs1+vg+xe1hKGRy0PZ8p FOLoOtzWWJo/q8iUhw4gjg9ouUPavlXw+nwr3RFJVhfsv+duij+YRRCWfR/Y rI91yOKwWD/iWrcd9YnG/pjR3rZOiNGXuIF0xcihYmdAuznoRDV/ZhlDEIJD PPKgvAL8Ow7HS5VTq0Uh5M5s7ff2Jo2gtIKVIwgk+8dqkaKynFTelsWA7SLO dmbtolKObdYNcCrEH88pAyd5MkqLPKbRm1ZenrXAwWgAB+3lHmtunZvcPzhu UTIx6aT69I4rB4gx/0JfzO4X+kA41OHTCV4hSeAfpO0P97OtpSDy+AYlzSWj FqScdHbkpH2bEIy7GumcDkFfO5KEpX1Ln/wecMjWAYU8ldXAroKM60gNsaM+ MD5wwgXHKItHwfEdN19uyuLXDygopjZyIR5fMj8Y/5sLJKPXlVIQLBCsHwIV LBL/sysJKAKqcqXbILUUyfjuWJ5krabUPvN23gPDCEXB1g3WEreSBVMF2z3G j9IHPuPobyEatnH0llXvrBJU6jra50KoFmxQmlM0HFU20oiGfv4Z8okbA9tr gNrA5oxf7JumL/VNp112RLpnZ2NwQPLyN/MwPmGLjKVaEjKlkBGAmOC3EBFc +ihEokOBIiUmHB0tKSay+MDxJ6q8q0fuuPIE4m2yexKPwHTFq7CopgzxiYn6 hk4CyKIFtRYg8RXjSK8opFqIyOqZRQSo9fDsOcklyBUFppIxVXAc7GKBcZjw sYMQmIUee+pty81WO58ehMA4em+UR+AlFToRsG9oX+FNnF2btq0Xo/wl8UZI DYb6wOTmb+17GGMMtsWOvlRTq+XkupEyr9BCTkm5GJRfXlQcBiqFwvA7uUWW T1gSbgmyf6O7NIDXr4T+wFGiBMG1wNIPNmHNlxQZaBBoG7zrhNcIH8cegYr4 bhSeFfJiFfgGUmQKpSouEx2sdeRIe+8l5Eguw7Bd8tBdB1bKJc86JQ5jtnRQ iFShJFzthR6D7Bt2XPbmMykuu9AqBYIQ4k6VhOhwFg5+9uyeFyM98iStNitE K7i36fou6b4naN2Tkaj2JwXKnzkWklVWov4/cW+kNqq1Dbi0fWffdM+aAeJp uXGgECmIl1BHIWenjTHXQ2qkTLgrzCth0ETcRNErYeTTR7aE3W0kDAu1hYRF egGaHf3SaqbIy+lkSxFbc/SOXP4q82lt+st7elFcDHKlUh9ajk7VchSSoEUq HMClzl65UtGAknIVabniPGZJa87y9PGjPANWTo6j8LeQK9ua+4YnBnzgcpWo zRScDSoPM0Kl48PUqUy2VrSFSkz0y5AnI1RCPZGaMkIV2ULljY+V8IUsifL4 QsawQ5j1U4JddgnYXTyYpIeMt4sOT1sXHRpkPSJLiB7t4TXryglRpM26kLsc k+Gztrdq2KikSC4Iof4vWn4gN5b8yIolJ5HHOZDIY9mFLDgfQFltrMOBdxuF z/8BfbBCyMgLMwfRuxCv9A31KT5Zcbmy6C44dYx4NryHZEHC8K/tSDRV+1W7 shSS9MTWKuoGvauTX5xKBA0cW8/e8Scob+s9ehDitCBj6628dXywx1MtfZen nv+UXOLkrs70pVk+ZnSTjh00XX9Imn6ZUsJf7htDoEhLhRAoYcjfiQANjD8h S3xAI3XIS+LMY9ZLCt1aQBh0DwgZWjI4nXYxDLqxadPHRgmZOtRf5CqFidMx RiMdhDAlxvAzwhRQyC2gVtIkSXtXj3QkSUgWrnGWWvGCFOblSKVQim0+CFAB slSFvyIWFiEe6S9W9qJ3BXqNtQCxEIW4KMQ7Fi4otF+uBER9SNdbZqKOcoe6 EssnWbRtWlhBojjgYGXji9dn8coY+uEiPCczOcnDmh0VLbXjBSy7BR4LcI8n 7nDAokVh6THuUxMoXCv10pTAjjTMxwqtr/QDv325H6RKHRnpAuhKj6pD6qqE S2WFItgArHVLyZ8SOqq5X9p82zBHvvasG+hzr5xYN7QVOVZWjjPsoIhFMpCN du3VtqJK928aYBpaywYpZuWiqp0CF7Mhpp0enwsVQpaq0/c31tFfCaRKDMQ3 7xLW3oTRUogu00JE9twFbM+JcyEuYOPwA74jyV8kwxofbq4PPVFyVZxe5VdX VmhCb7flFy6riq10aOIkJzShfA+f9ffIQcjUXZkW72wB7skYgCgWOAiN5WhX S8C0MXglnXMbYkw5tzZt2yTG8qv9kryCBkcLDldlQQvL24WxHbuAmIVp+0MI 9pJcCfmDosPfe9YPDMKcAXNHoyFQTibiPQMsjXZA4iZLwUijvXzXcLQh0i2+ 0YVoe31mnXCVXeFrG4QhhC3SFmCdtgCrpKj9/G48+Tfu6isEaGC6/DLk9G+e MJqTl5AwHOKMljAhkEI0STwj9SrVIb2L8Robl8zosz3ScYtdVRbpnJOSOl1K WdFI5KL5MlIX24EMrRB8FuLDHRQ5VTJpqydVFY9o4DuWhajWKs2313dwj/yc 8uao4bFG3jQNl9E5Hb3YN7RfJOVtM5VkfBUl4uUlLiBXLN1zPzli4JyX+h6U xMnYBiSuacooFHSfMRZ6HSK2caCJbWQi7UadZSQs5PAgi5jyworihHhA2V84 06DOMhjlzkNobI5cEjpjotMXFBpMxlBX0xvhUokiNg0hVtpiszwrHKEULSFQ 4gohUhAfcpzI9BPn8B7ncUUI4YvwDTYfhUSKd/CjxGsopel9JWxauYWuckN4 mv0xbbeWkzErqFFBxpwF1YnfbLSq8JXZ6MiWz2z8W8ibUm9YYf2Op5ohK28o Ua4kb6M9zzrOQ5NsXxBD1tJGwfVNHz8k3fep3oJNvgZRKylvJvJRWt6Kwolh KZELTa1oNXlr0HFQZEDv1uWDy3htlnaL7dyWLxkcyyTwduo36vpqOeQOkbX7 G2jnttblp5id25bJ5u68vEW6a6EOH1ZpK1Iln1iBkOjJoEYVHCdh9EnttYJF jTWXuAb6TLDOjIHp2/P7pj8Tuq6WJQ0aD9fiHeSrrlMpIbOj97zsUWaNjeVY LF+UJ9veUEG+zGrNHtki6XKBDsWbZpfjgxEmW0hUKutbmVQWyiIOQpicMPsx JQHCRAn79u0LgRLj+g+wFG2JCiFQJuRhSxL5ZPc35pQk8stCLUlwup7tnba3 9EtbVwxOp13KBqGQJ2tppFnu6wnSd9xoVCoN6ozctEdYpWWMRlu0mlm04IwJ fN6/bSA27rX2QzyFNrWyssVyWVY/Um2IateHrpcm5asTRfEgY+Byr58lVRZk JwilzPx1Q12c/pUkSrwnicKn5MfVkETFtkT54vi6CsMnT/S8DSq3FVSOcVA7 Ca9BGFBqSzdWUCWN48cNaTMc67LqhR5WfbCDokZ9F7AC8lO3axGC3oIPhpVk /8fTufpOe2kN9104EFGz1lHqUouxhiZdqXQ+vZKv1qL12ZRD0j0PH5pOu+KI BGJoFFs51+1vIY6Itz0nJPExoc3mSm3WdMOodM+WQaEd5c94cxTlD0tVPFU0 KlEMbvluxRJYY0tgun+7K3W8Q2FgTMzIyo3JxQW28CXZiCPnrJD7vXwEdwO1 c1aQR8gh9N2HcOM2ySB+HQledwgi249Cy5FEJngt4NOkvCDa7mKiDUe/ILLd WFYQdc3KroasIIaZ1hJcU5xpLaHqLVXEJCqpMVwzjUQzwVtfh1yfQN7pKeP4 tr2cmTNlJQWyWv4fWtDm5MVtqSQVLfdRUSESO292lEEULZHn0msC6tuURLYs 7J6mr9DYtyHqz9IJ4YRgdVREdRb7i307YnsiK/B4/7T17iFCRx5Bd4CUOrZo mE3EfdYnomFZEbWsz4Iq1aUwpnb/imW0QJvV7149Lm1ZxFs6it97N44KdQa7 SDahGGXHCyWbdmmuv4FvgcRSOVwqCUax+lSGPDbpqkNIqhHUGIIapn/ZUNeF RRYqU/xF7+jTapZe6FMht/rg4Apn58Q3AQUXcKKi4MqtWgmOTXk55yYF2F9g hRiKqQ6xC6yw1oR3GsjRiQByrXzCwPop6ROSZHRUo9r9CO7MaFRsr/xPnlUd d1hruFU/glwaNcRD84pVLZ34IZ+Qat1pAxIrlTDlvNq0bStasghhFZLY1h8C mzYvGkEHhNeIa8XQjBJXdhPziWsIcYWkPtE/bZ43nKS06UahQ7c1elzHkOOj rrj2KimpeaKhrsyifJg8R7WsRNpiJK1rhLQuPg+7o5K0CunF/e2qk0hX0sul eZR8aJ46RO4UgGw5bckjy3Qrd6uDYBe0tCppglJtnjIkfWDKEJmLIK8wgkR2 gbxGlrzCmcS7WmP/xo68qhCouvmLnAKsIKrNNw7FUVpUg8jpmEbaNSBBlc1C 7L2PlVp1Wyg4/Wk9cRtHofrs3wcOQlrvsFITrG7R1+mfPBm/AxZYqYebVLj0 BHnOya6c7hPYbeDMV/tnpRYKFopWS21SKcBjpFYA6/wRbAxTIl6nMGqyUpu2 f0Lo1HuETp3MOnXe8CDjoYbli5jNouADMIC7aFFFlT8q+7EcRkhqunfLKCOf 4jfkFQsjkcUIYQuH3mwhhLWTXc5vWqNZK6m0VC7iHpIZucRLHWm9OsoCfvOu vh5VKgbqL+vr8Be968znIP5/Yc2qtO1fSUhJUMmFdcVUlW9WEFNOC0oxTXRf n4LpUlVF7VwgqjCGcVhbRgeOXHLDB+OnKuG0gz6hh4vZAnYcvgMRTqySN8Ip VwRDCqFKv+OJA2Ul84vPrqsomYd5wOUkQ5N+/lOzkjmBJLNwIJJpAkWRrUfZ K83q0QJJZPsn+6dNU0dJfSl+79nRmHFOQ1+hTExqkySxgur0iWFECrPGUZg4 Zl12dNp85+kkeRvvvBSShycuExIqTiJm2gfZm8xRRyy5G2fkNpWIyIqt4vR8 nfI3Kb0BCRSSKOM90HpSwNRB8lgNcaxmKXxuBqUV6V0BrzUkioktitq+jbhk Bv9ZmbdU4anCQwVbFvcs0olCSxaNyoy47BmyqPpU6P1eIrWGn4piMsvSEk89 TEkvlIzYg1GL8zxq8ftPz/iuJzI07wDUIu+0go7uiL1ST6FDPOd8m3p+1AMy 8hwFa20hFbPy9f6WpArme3ZQOunssSSt4sgXRrKEtcYWVtKg8Fmb7xyhtWTr KhhrTr116JbbdNTKDSgRKfvNs6XrVZswpIS87n9A+H8rTyX5hJxOu2ZC+vIS ClRyasQnrMa+FYrJaIfMwjLd9KifXjTN/RoDFZchWeC2dbbvqaT2Q/Y9QzJr ZYyWJVY8opLXEPJaSP+8vq4Kf0UsubB03xKWrtapUZHk1nklF2Y0jtKSa9dU ZyRXLqPGtuVmt197i+lEd8/BoNl1N3KlUAlJtrUpS7Kvss2R7vs7KNOowlGR pXm2Y3rrmaRNv+dZIDQvE1l6qmV5RYFWgipesMvqhwRCcmcQbJCpdmVVVsPE QO4e8lsS25zftTaQ1oJ/sufcCRkwQKBKgEE1wCAxYIBo1WAZrWrrJyNY+UJW BAchw0H7pwfoeqCmmw6ThrKAAyrEkxWu4ISimFVpGzom29lAQsc0N3qJNTcK u90AAP7eu3UUKXDO6lhgEKkKoAZq79ibzD/uo+N2g5rbqJbHRkoqLFsaWMAd LEMXCowBHVvSL3OelJ1h1zUj/YdA+smMFtf964qepHnxrqu8pLTKDi3B52UZ OKq1+ewIvpUXtQRfugu1tqXi7r18ld57GcCQsCusUFO5wmrBOdxhxK5iPxQE 1k/oYWmfYZ0XCmTvhVj2XsB6QVmUN5c1vJVjheP7/cweWDZwqEUZeVYMyiep webxv2Zhf1scawO5Kzfe/yKQm8srii/g878zt8n3fQIGMnlO9YzTsT442A6+ f61/DTAhtjGhefFIHRLLYEK5uBhhAqJbAg6a7xpBVgJZtPcOgaUQkaMdKUSg mqXQDY1VtOexlJ4K3yuFwjrbZRMAhnT/g43p7g3HpBvnW4iw7TBl3odWuwlu NaHhgTMjiKTKSOsI4yqOkC2HllP8v9jXjpyl8yF3GiJP9d5eJHyhXnRVsM2F 1JgKGjCUcf/zJgkEtnEfShNBwIW44E/C7f7TOj7W13Wm08Lmnz4wXSZsfrxL cH2tH0XqMiiS2Iu7VBcj2QzJQEmU7fG4nTfnRgZ7dW+yK/Js4h5mfPbi0FoF PIk9UbRIS8eFBjF03Hhnh1DENPZaM//iYK6nrPeLO675AUFILDeWmHqqCnjP PYD2Xowim1jisZ1nwlfg90t8fq2FIth8D+7AcRaK5Po+mxeOuWXhifY/jvbj SZWLJxHjiQwJDOb8WLGNIfGkUxZP0vanhD1xs7AnzhpLgLJnVyP9RvguNJAS 25Di8ToIUPCPn+9NGWxUlRiDI6oUKggoZCfdjycpUSbwpZrwZf/DAlM2Mqbc dl3asuy8dO/2w7IFWlb0IKRaklrK1ABmkFLV/ctUmlVgTPvG3uWDeH5gsXcr ivRuMXZfAeBKSklqgSqxMUMKOmSw6+ND6PirjNtZwBLZwCJQAa/y3J/lITBB Xkc+yp196R15MDHukhhvpdoHN5QBRzz+xZmDIu2mGIix8gmIkKhIpRdNZAec yI08xKrAa5lpxx/nRxThrGSE05v8dhyY+zqILSgBU87K3MwyHKTB91q2ierq PdeTBs+HKtHPWPrHWjQdxedoK4nqnNf5kOM0ec5Z4DPGhxw7IBev968FfFRp +AgZPky8AtGLUvCREHy0rhFG++VHEGS0roFvDZuE4hZ24QtW4pUoo/b5KCWs EfgoKHWhcpfikEU1Ycb+Rw9Nd286Nm1Zfp7BiPsOMzv4xLQvCjq+0dFCoX/a 94QzdM23DtUNfoARKMFQEYzIRYlMLj0EOHAGvfnGIQYRImtBNyMCjtKgoA4O PhAoxNI5ESgQpX9cV+fDg5jx4F/YdcE7skZCHdEIVYrdwQNabaRW7sniGi4u NaELAaOebaMNDDA0yLIedmkSd2N7K9yYEwui0iFIJ0Ln81Y6igX28qHbM8FI Xj60l+0M4bXoJQ3asXGXkFdqeC4lPe7BUo1dyT+iP43x5x/4IzgchQO4OrFL cVT1m7IvnFVKhxuU2Dd06FCFElVAiRqgREEHMiD4r/RP9zzCcYxX+hNQGDvD 5B9QPPLZgWnrWokRTdMOS/c8cGhgkhGynwSBB61tOmgLI/KGNDaakAbyC08J kHhMgMQWCyTEb4BG+ilvLh9Fsdw5tXXBodSmRZV9ACwQ4NizcoDMNTtIkcng +5BCrl6yN+KI9CImmBB1cQYkIhskZAADwYomE6wwQFENoIjxVwiciDyOySF8 zk4dSpuhqshmoFWIVMvDiz4S6UK139NLdZKwdiALfDs/yVDNVlliFMT2pnu8 2sRGDscvkW0kGwxymNW7VRxQUjsiT8lAhS+w4bgkO3JChdoMxG4qOTeTMcTq 3R9lquewzHCuFQtVzkg+kIiOZdn+Lom1PPc9Pkd1c4Wc18lzBdtEsOvwLAtC Wxaj+CviRVbF9onT1dN7pNOuPFLAw4AaFyNiCyMoriEOhREZYwLBvK/2S9uf FhCxzoKI5kNDf8AjtIwL+Ca8XKSDxkUmACr9kRpCC+oe+FC/dP8Th6Z7Hxid tqyw4GHLsYEvDIqvPtGT9oduXXgodc1QrZxaFzQqX0QW04Kkh614hx0JLQ8V oS7LC9yNTUJnT5PNdSqQIR0OvJoFWbKgx8p/vK+K7cQryb7AAMaGyDU2xJf+ uLYu/W95iBuJd7G2QghcxCU3CWvlTeGG/Ikipn92LI4uWYuDKxnkQmW5fqUf VQghZ9KkO21MQpcAuWq6aAf2xEYSK8hTCkliT8Q0UTYILUC1bBADLAEZIWlj PeULVO7AwQ+fK7K9g5iiKnLhYmTND86F/tiTC73d443khJUzGBp2W3DxJp8b b8FKxevkuVi1w1FV9XIbbNdJkQ2hYwdOWpYIJknfGCCs5qUj6S+DKolBFYpv yOjGI4ODkNOrqhCCD8KXkPGl/XMD0+aFIzS2AGtKB1RDk2SJVJGhKZA4qFBq RPjy8qpR6bRrJ4jvblxwqTi3e+uxZI4g6mEiqkAUyrsKVLlfIN3aAWnzzGEO sujtcEtFPCTQZL2XkkATqv68LtBgTwLazpFKfhXQhCagodAlMPZJCFQhUImM MWICFOtKg0pCr/Kc+FRdwd9AHHC5tHHwrgogU+OxXcL0Z009g05UnMhruenA FzPdEghpBOJYodVE7ZVjNrIM9GhQu+4GE2k12drERhe9jVVudLGdm9gjMxfI c44V01F0KXZu3HLhn3iysj63ptKmkhloecuCjDf43NkeaCl5HZ2jUPI5npEZ 7EOTpUIrCQzBVAgbZc9jQ+hdaVxJFKZIS8W2VkJaViCA5JmBlKKh0KgAFACL cnOictaK9HAQVXXSMgcXQ8W67U8MFlbTaemiOdfR0TTznHT1tDG+tQVWXyL0 S1G9vYApe9bQuGS6pXgRJbIRJeg4nIR2a3vTfd6FE8dQCWXlsQMnKuMCSdYZ Fxggf6SXteICASJh+t7aukIpOAkIT9L7PzYEh5hc8Y7gJMy4RzdPUK2+zFr1 52mtOlasx/T+AxNKpeRvwQslas9mNRK0trcsgNAOMrso4b1LBpwyi84DbzGH LybiCMy2nLBxvMfRsS0NtUxonyd3q65T3V7z7EXLsHE8i/47Fhy8w+c+asFG xesMbJxrRkGba4P8sCEmYPeA2IMdkYsdVOMVsU3S/hyHS+WaJPFak7VJ0vZn LfhApleuVcoPIFYFWMcjqdBvz/ZO939KQMb609KNCycTZAA+BIzge0/3Dngr X3Sk+Gym4dLsYZmGZoNLVoIkKqgqAcR2fkJa8RARhMCcBg9nECTMNn5J76tX OZcogySJ3aucuxgBOFKqlFZeD/saVKCZFKGIsEbIX4HfUowi4gIBI+l7a/Rh cIWvkmii3Z51eAC6kTBVhOji5LMAk8kj6LhJrsrn1mcCYsS/ANjAMkLI9i/r ZXJZVZhZa4npb50ijvxQox1Dmee2oaagPaFE14SG2KCBxrzKgzIJo0xg/TDK +AqwnWV/WzuIMlQGyls3zbFcnzXzL1adLW4ioEko8oosL+wUHFg8HMKCIQwS 34NvhNAsfosjpNMJNcRANEYdaJYR4k43+VPHczKp4zybvjOIDWMg+pUFTv/G 54ZbIFbxusRAlwbwc83Qajjrb+CsyYKzGsCZxK60vbURKAV9wkhWXYRkFNO9 8ghOA5ni1aZbDyOEE8hFxauRmwqKbLCi2rSzxirXqchz+kKR5xTaK573f3pw uvu+Yw1GCbza+9DhxpOSYFXNLXWGpU0fHyVjsaZrlXGkEu1IqRbB3LQ+j8FT IIMH7hMhFtZ6PNjgSRKHTpLYAFaghE8hFm1eb/dVtOM12pOKNFQlBqoKBFXK 4AGM7BaQ4aJVYqFVdzr+a0138RDir1CDV0yXVqU/XdYzfeOOvukztw5MdwpD aKJ4oqUSodjkSejfALWAYDgEmnESOrGTTnTIijkd7KmCE0aulgr2SMuu3lTJ FfTOohzFkQkzP2YVeIz1nhm8RbDGLtIhxrGKGbtappialLyOVUexy3as5lh1 6QgFw0KaQvhSRcAFwAIQwVoCRi2aclI675rjxCwtvP548b2F1x2bLrx2HA7x bsHVRwtyF1w1Np1zyWj6LY6QTlfJy3C5Oq4/Pl308RNxS3E7Aj5Ao9zTRTwB PcXHMtlsg7cmfiQcvZxAF6P85fcMWP30p3GvQFbUvsejXujQ1Qx6TijtPDMn +nH6eECvaWpXwQlvDqhl5IP9RnHqNwZ4kS+Uee/mxSM5ZG3DXeuGYVbIuhzo cTC6JOgVh4vgwT01JN2987h04yIJdS13T0j3PnJ4xtULeQ05NTWaYzU1Wja4 yM+LnJp9n30WqqVu1MgBaPdID73EDUYZ+XfYzexBaz1NxrsjmNO2GS6x/TyT 9BYorXdd3VQEdNqvK2iYC3V4KKDYMqESkOqPDFwRwCwCroXpj5cKnP7cLQPD dOml2JZy6nmj6XoMDn7fdB6QTGCaeAXCsRso2OCPyIuVhrHQwFhEhTkPTBlC iTeVfiMo49ZIqqUgJfbtPQ0Ktl2mk3vKLos8LmCBx1YXy9zPW2kRwMWsdBjg Io8LGHsE5wIP6G3JCXDHZVxArHqb46ngFQBzLeFKZ22cwcCyMQ7gBMAS0JXe dcWR6b03HJPumHVSmD5x12nibi/cfXbatnGiOsL0nV2XiNM/fvyK9Defu45+ i0OerqKr8A11iHvgZrixGF2CSAGI4sEBh2wJBgoN8YQKDa+xexNyNH1OxndF 3fGJ+Wp7nmNsW2A+ihbyuUcMala+jhHQ8eXPN/9eT1xPPwJWAQHJ9qN4erXy YF8fAPDDEVBiv+DCIFIoAvVgADL6RWUi7CXhMETJYFgWBgUw7P+MAL/7Gfxu F+C3UoDfo4fDCkTMK9QxdPRze5R7UanmpNztBnl9cS70FCXjoV3LzwAhnsgU AAUSDeMsGoacTJaA2L80GJZxVC0opEQ5t5jpq3N0obH4ZEJfFQobOEy0Y4p8 gbDYBK5xYEu+/mRpj/T1eX0BheJ+Sy4dLp4IWEg4eMoYHHSawFJ8hmt/srSn 49KGbEDi3rAKOSIPzAw6STOzgtknSwZUV4AgsqGyyOpLstgoN0TiYJkaP3vp f8LYqIuHHGws8LwwNgYEjum+NXX7LGlybLwLPBLWUVi0txu+zfJZgRxclXy1 BYvK9AMcAphgs9lwCBQDmgmM6w3UE6MN3BNvNchlAC6mewGBAbfif1zNnqy1 TBlPdJunCDofpNVgcfIH4vizOGYFsgsrdm99P5A229EG1vJd65uMifKcswK6 3oW2fUP7E7R1BrRVsXE37aoj8RfBW4027gjVAlp4lbY/Pyht3TiMMA1WHX5T mN8szuwQtsH5QCBuV6Nr6lURxu1/WmDaruPSlnsmSEwTv/c+RuueVNOgGgVw KqhPjfbQ1ku399qM5lfK0Q3h43oBLrIBLqiAbpGNbnIdVhDLNnCbuCMJu7Ud DcPpWqU6mapP21f2hIVXBG1sWTG0RRraZEheWmeqsECabRKOFIwB0gBuEsai 9PW5fdP/XN0dhziHV2EXriafl/xethKV8yvewzv+iTAmJ5JzW5wbqDKpxjKG ofgSMovcrkj2O8kAXUmbMOEGuuztqh1/Ge2SIrSzN9OOXbSjlGIPXk3L62rh JWw0y2ZOPKJ/kxY5ioRPMoKmUW5zB1HPrpe+zePtXkkYVKshD1agbQEC7pZd exThmcC2wQR1tQR1u7ddqG06XAaHFyipgnkC5a7y+K+3eeofKsEbLx2dw/BE MU5e/gkIuyMzEhWvSzwj64stdJNXA9amWLCW7nu2T9AV2FawsG3P40PoXa3G toixrf2FQWnzkpES16Yflu55dLDEO5mKCDsIcKEpyKx1AG7/M0PTvU8ckbas Ol8g2vXi9wRCOE87tDhtfwzt0Lhl6JljMy4sFUCoZeey7bVZ8VGwV3zYwHbA uAYDAGbbtEmjM7hW5MLeZ7uwJlwXWjvQU5xOHLDdaFmWTlPqCipZgyDRgtDN SgQkFD57RhwIsVGYjZxTiURAuaWTh+vfwkCTUbtIAZmEOQK5KrwW6IOY43x1 QEQ4wSWznokx4eIssoXGhpP5zRkDZU1ppPegCGRne2cfJWPHRdkty7eRtcvI FkSyZEJujCz7VhU4O7wzu1NhQWNcQhgXu2uDVSenRK7c4W5O44dLD9gXK/d5 v5s6CHi0BRKH92b7vd/LKmAee7vkuAqgO4wwr5owrwzWXZHxTtEO6jbPqtgT KmCd/ChB75nFgVzC2ySOI3G2c5nPzApX0zqVRm2iB9hkI41Yg9qUiZ0AavXA tJgxrf3zjTJRupvqB3YPIGCrJodUqK4XDabht8C4gGo0KBV7BCCNvdTSuEYp 1cjFNWm41dDitsnnH5e2bhlPWLZx8eR09wPHW1tDFQfpEuoch45xpnMcmWdF K+hDhjdUjwLi2h/sVyY411MG50AFr5alw4nP+bAt0tiWPgh3VIhFwLVFXBed A+KyrmnspCLEQbvfihH7wFSJaoQj1ODiiWWTsSxQZgxUZdVE6jcuIC5EakF8 AHfyp8t6CFSCnYZXCuKRGypsOhvpYhvpcMTpHwB2JYw79nNxI396NjYGXZXP oCPMk9Ud1L9O411i4x0d6SbuhBWbzX5jVRpHZXJq2/ikLOqpkAHvHKn2Mybg i6WKEgafGHuqUL16hGmIgA6TavHziv5Yr4jbkunXdkdR9Zjj2Pqc3bwoeCyj 4A/2PK7LQGZbzu7mxZcqZ3cy4VU1xf98CAiLTyDgUYx+KopXAv0me7KyAnZn e2roKwEgbXJKDSxlcFSnTn0WmryP1dUHQPZcny5p+hbw6s0BkUotCOuMPdCA EI5c0DiDZpQ2Fb9xNob1Fsl4W/PikRWttAyaBeSHpvufH5q2bh0vBEegGFjp +glUIeI4pDXZ8jJqrNd8x3DTMmgltQwiyy3jk3qhLaKyEFqw6/R57yiuhVQQ UmOSDpx4sPKrMNrA5EFYnGOt91WVGSc0pPKPQyjPILfLGpi+wJ23rC0RKK0J COO0JgXWZEHH2u4xo9R/cxb1vTWMWYKs+64fnO4QBwNRCFSKAFAhoErg1b3i rQKtkFAqQaaCXFj+Et2KnFLySatkYuOPujBWlqYAn1AWgqdWFSGRLIgrDVGJ tsoCWbyLRoPiCEJucl8GnxIbn2ipjcQmXZgmockUzwtoCop7iFFsmextiigQ QE050SzIiT0yx3LoeE8bOwhQyi9F8fxsz4KcSzkL69hnLjIFxxM0VemYm4Im hOsYlvg+7IHywp7ZHg80FygFukknvbvIjI0G6mqDR2ljYyPF+Nvu79ld41Go A/0FjUIwRFwAIlwyAATcMLGw/ECEuNpX+kkM2nZ6unHJ5HTR3OuBR+n+54bq 8D/4y0ASl88XCJPaP2VaCwKP9uxoDHNWvYbc7lO2+exFbiQDUnk4imw4wrnH 6dxjukgtkKhUKIVKIbcrgxamgIxjaREuhZWCYzCuaFXLBIiNEDAuIKVdWYSg /4UD/oGsThVAhIMCYhKSQiBSYjuGZP7IOJi4mXwV4AMUUkeU/p4gycYl8U14 jEsuHe4YU8qbtI2phOvgLG/S+JKFIqMK9Dw3fWBYCrHqyiOWZUv5EIsCkBKx ItMnLdK90QBdIRojWee8ILWMQGpXQxXnVGluA+vHt8LH50tuyAlSx9jtkJBJ nXMhjJlZbEhZ9bTwIS8miCl4oUrA0imEUgVCKJzKINQlmSVCCNTNtt1GTmoe XwGgRsg3jtV4iXuOxkH63dZ28ag9W1aXTjpnbNADKFUDlArIbFJhrYBC+ImC qtZGwBcVaojfVRmoimyoCkLT6KQMWKG84gXGqKWMUeLvvU8eSZaU4xjqgBcj lm6ueFmmuWLoKVmLtMEECp/pTZvkAKZsq6lpyihVr/EUpSY/7QS6OgZSkQ1S OEdbIynTCQf8A+62EarYMenxeuUNGrCSKTcqHMWqOrmKt5NZxStsJd3jX9hS 3Hg4/aYVAlcRJF2hplAr8qAW+XHi4h+xTWSH7y3oEufEa7ULXhFfB9h7jWEv GwqzwSvyLgAodgdhEP6rrL6lCH9chFwflkKuiJELJciMXkGsfcFCKeQKCbkS akurujtSt4mJGbTiHk1VmEZaCVCtgv9inlumdKbitoIHmSZ6pLdjaGV6s8LE meVphyDw6cJMbZsHroLTy+PVRX5Hb5adtBR2HWyqA4GsS8053e0gNDaVhqym m7qGQCtM5ifYsxPvCMGqGcHsAFY1vRZ0bW3r5mEKwPA+8hRdRBrYQgY25Cfp hnJxY3lgA6a9ODTd/fDxLqZ9+kiyzLIRryrZk2X1ENMicv4IZ6/mPiVRLRPh wrN9rrfa/Rzf/WwvO5SPFYx24YVTbhuaxQEHBmcIb/EOcRLOZGdUhjKdm2xf gx4Etw3ingKqtbo4QpwIePkwqi+UPQbJNsVo0hqbPpABLbEBjcwxDmGtEVbU e8pukmEpArH/ggMoEQroBJQCkpFTGEsk+49V4rsOpgUEahoKI0+wK2Y3MgNx QLggLAlxctml8iB1oD9RreD18f4GXhHOPTI/3FQXlkpghgx3qpmDhruCgbsE M0Hdeq3uc4FuWmt1n6OVCqrTbTHEqcC+ZZAVh7UoPp0X2MZZZphVtTvLXg15 65nkLk7KANvKW8cXAdvZHmBDwAvA9vymKy+0duJUCyrVv6LNA2UMPy+qOR7z ZHotKFSbcvbZZ9tIlniQrCdeqxjJ9jzBH7w5QNpiYlRatwyjc00zRgPBqoBg BZ11jDyheMsWqy1a8rS/VWDVIwarWtacD6wKM0Gtguw89xnZwhKQRdWtq1EL bq118mIVdHCmnAKGWLGz+HQvvaiJWjw095POYuzNN+K0DFuplKMVufLhVWTj lawSg12plgHfL9s4t94+KNuMUVwr21jrJvTK85H9DcRRp5KPErFqHMR6f0Od 3fqNEYvNL28IywNaHKsCVgnb6tzR6ddv70vvEkBVjQta4hJ8TOCm0pHe4Hxk 8KocToXp/R8fAqxdbzKoyg6LVIXFBqdvBLfmVD0u6hVMyUQGDxyVTqzqpQvN qMkOKrG4lx13EC/Ry24QetkJHAMXKWst1m15ZVqlwcCWlbKM0n33dt+nJLhM WYBjra3rEICZ5VJoiKksMxRhWE7kRAvAUB6movEoOVMANoEBDPEuDWAchhff mZRZ2mnsQBN/R+P94/IAGAH1ZcbwamloaEiPGN4NcFXNcEXeoYAsvOuF14IM cDUvQ7Bchd4zSPX5xlDHvRJtYQWEV6oDTRAbpCqk+z8/LN396PGESBqZngIy 2aGukOCpmjpYoXUELd1cMILyiHse4Hp/bG6j1nSXhilPQAvQZbxFhVLatKLQ 1sWH5zGtcFoVRkjLqmNAVdAbFQKwVMf9EpF2ZQBYuBSEMmf4oYzxWMj0M9mE LpBhLXSh6q7CWkCmsBQgJcoUMmGsIDKIRBiF33SswlkBUUn6LnBKgRWSgwbK MvGv2MYrXSfGyz2t2tfQrpu4ycZZ1SS8kjkVSXOK2pDz5s3KU9yie/cInJJ+ d7W/vSZ3yNqzuF/CJSrkvO9QKV5OJsp3GVSKGZWaLqhtyqBSRX8xLyodbZlV qlrinRcXz8wUS6y//Ww4eROt6BawCqA059IjCIDaNk6cxJiE4oiH5p6sMYm9 xYnZ/nsywmX/LwTXuDbi2HymlWdD80yJ1s1d033P94GV8zYAaNrVAqg+OQTv cBBWJWRMVUsQE+aVeEcHnEYFVnseH1JwU4U2WFGY69HB0hMETr00LN37mTFp y1qDUwK3QjfUFapOe08PNJ041w41cS4AxMt96TMOc/kwC/+1tQ8wiyofDHBp +6pMJF4ZVwxbrnHVs6RxRbVcPcJyBfidCLHQnZc7gWvRaL5pqPQgTGgr8AXh Ca3YktpCaMVpQglZnTVkcQG+8Zlc108ZU7Ht6BVBFMXbxZ8Cl9JXBfjceO5o QZpAJciHOPfuPfqI09/dQ6fxdpU+CMOAdKu6a5SDe7h3CVD89/fKLGPoZhkl gNVkAYxsrT+5i9yDqBJ8hXLFvANfEdtWCAQCkDhAGGr/OnKjXjErDwIpYUhp Zy/2gFTk8fh8qwAnakOiY9BkDCb4YDP95QvnMy4BWVQYSxlLApcusXAJtVx2 FEug2vn+KNbMjLmEKNaBgNLF0nDSgERVCc/36Ux4JAb4pUbE2+ldF7xSuUJM iFQg9FEmE6JNjE41GolMYIrr5nEVYlNAIIU+G5ddJtDnBDKiokyjrYT64agm fkCgPQ8eakWkSkBQ6G+FQ+YTDCRg0Qt8SByStVcQ6Wd7SwPqmd6yXD6IbFcP 51B91XzbMDve/mRPE29PTLxdO3o9uK60uwNG7Vv60HbpzbcMpdIEVYuDwkRd eyWcPFq4R6WMpatKbTTaXIxGXdIPNrhoBGdIdqoZ7EMjDqcTDggwSiQ2/J5e VnUn5AnTbdcOjjXiROlvV4oX8VeIcxEwhywocRsgFltX0tYyWCMRL9GWk1pj /h7XddlZQu6sE+p6hki2L6a9E7SBlOlKGKcvzhxIXbm491+IzANDDnIQzTcM gfUU6yJ6E3RK5Eg3Tx1a0P2GTTFpIEvk2uZ1pTIpDpf7KhAcmVuTE2OOyib3 ZFRpRmajAt79aIIFM2o5EOwb9skuZ5hBdRSVHwgEwiVAJPGVCVZbURVTsvHM qgs9Jh/MOG075GYNmeKn5/t0ZZiByQPTB+/q8FpDrlqi7RzYONDPAmHkWcKY am3thIQxSbr/i8PS5pVnpVOmTEkXzbs+3d1ygrR6qAohNo23Emq8RcByxRFp 0y2HpXseogbCqmkOtktyNzAQ6AOxsiEmNDsiSSOntY+9KKdUvYET9la+WZVu jQP/jLtNKEuH6w1qs+VPytQhDw0txnl3UVnPHBOykGdmNZiQnZ90owOYO803 DdHZu7C4lLMuNHEi0wGHASWkxYW1soiTe0j8yThjUpalF6aBJIiUj0V+loEU 8WwZYwaGTto2Rww1jBrAS7f0dyu7CazpFgBxukXp/pXdQv2+O64zBlCI+4Ua rSLGI8sGks+SsBv4B6tQlBFJRpzsQBO35QmUBweyiyrfE0r9oVsFCjGel7Vi 4ivo/RWbhoHiVisuGxECowTx3+Q1nPKop23PCbGcRT4F1xoKeB047WNH08tI ZULfcNQmZhw1snd8lYqETwkMpKqSqMR1UZzEm+lZr3OehUc6TmTw6GpeiqjK oazwUDDBsxhnppW2U6VQhETV2pzLYA7DEfW7MY2J8RuE429QfL5BJt2wq21X zzoPMtXjtUDIJMj6QmPavHwkWUetW4epwLdZIl0l+47KRdH7vzQsbd15Otk6 wKXW+05PX94xGp5ZELrbrES84arq7MX4ZOJHPnxiI0jiUxAV7Yhc2hULyfqJ VIw7G+eOTIxbGT+we2yUko2LewbdinZqat8hWxejsSj2PaAmo9eOpDbFdm+I 9KEGUwxV5Zg+dOxUoYh+JavNbYjqloUobe/8BYK6rnu6b1kPauXgwSfgQMHg kQAMg0VBqIwdYM35wnf6/sIGg0QhkEjA0d3dxBD95u5u+EseOE1Q9Tt8/V0C MuAcsO2V21HBVgxLsTS2KsBSQBVc1MsCBFGpqQQlVKLC27zZaQ0GDIpkadj8 vrSiWhpOiW040SHXWrKbBuSjUo1Zg8hfKwlIIQMSwIhMVtXHw6BSta5J93tm xeEjQqq8VtNYf0nUDE9JlPCpzvFFsw1KwSsLrrU8NJzLRI7OLRc5MqVR6FU4 roLpJLEqUd2OgVF6o/UJBqiaFFC1LK/rwUDVNHN02rptGL1rwGtIQBU7QCV+ RxwSx6nmZSNVoo5BK+aGNvtfHi7w6ox043LGK4Fdez83hhJ2qsSTlwa6e0Ql Dm7ht7CzgCK8NtAgmO2/ZcPeQcSrZ7J9vfCBcd6CULd0yOu5QTty90F0HXSc t/b7UdyQ7YiMXut77h1gVRYkmWrOBl40A/SqsRfNaPSC40aJozW9TAOv0Cnn rDMeGwZlI7ezydhYAruAX8q+emOebNuQwS+yp2R0SIBNN3VEEr3EXzCm8MK4 hCTPbX0EGh0GqNIolgDEBLW/bupGcKYOAFyora6Eja0fLpKFV4yVZHhVcYDK DjlpVJN1WajXem0uYEh2kVh66XBKAnKniZAW/hRobaNqGYaYE7d8Dn1OYBks k+UZcj35PT1lYs80jSiqrWqeOgRHoMwsWRbSYOJNBGg13DWi7fauermMr9OK zxe8t0OoZqwuVKPP8JROCTw6xzK8VBwckIXgkoCwj5ePN53jjzfNsCw8mF+P 7VqYD80Iuy0jS2NX081dezN2WVFvaWQBtl5yYKuQzeRRSFy8ynIpYWF9eXi6 +/ETLMQ6I937zBiBZ1wfVQ67CLYGUVJPw9azqNcpXtccGuyKCLuoA/NqquQ8 YK+wbNLOOIY4YHLB9JJNl0ei/uV0VPVx02WrxjPWjiF3IAxpwV9i1aA3uO24 ZPGyZXfVw+ay9Xg2ZZcDtboWodYf10jP8HUuZtKxbukOCsyQkAUzKwFIGbhK 2NoimNJQtPWawYRVBFXi018JwPq1PMQ7gFik7DAcylqjSJVwCsmrNEZepOEL qLa4BwWvPjNtII4wXXzJcPQEE4YbwE43kTgXlUhoI1FFJfBYOyjXD3YnEmXv G1k/oTpTqO33QhfIUCW63omdS1Sr8aEaFZCqxePpJo77RWVgzVZDKpZ+n7TO auw9cYrcRX9vFedcXjAbkzHR0NhGgNh0C892rbxaBbbOLuNIvrPrkqnsSOpa AxPYCs4pGdXiPlx3XUt22dG57DK3bP9cF9NUOq+fhWnAMLzr5se0EKerPCUK NaYmoSCB7QkDbC3rJ6Z7nx0T6/bR/XUdaKiqQV/rT50c0JY1pvKqKurgAHyj ZTviN/BONqWnCs+2fhkbjXAOgPAV42GSl2m6OARh5UxfBfeys+1eEs5hfXPr UtlQnjJywkprXXJo+ToqTvVVeTsPugZanDXQQuCc4B+NdNvl9t96S98szvXM 4lz6/np2MUsAnTLPsDDmaQEkGuju0UAHcKuV5pRAKgVaNwiL7Guz+xCQxXiN gW1h+qsVeMFfEuJ+bawzWGbitUBg91vrgHX31M3CLXjqZgFjiwjGbszA2I0E YwLiQgl2xV5pKO1LmR5c3R3NBrjg/j0m9r8V8WvNip6cEJeN3n9I0Xu7txnl M0ognGoLobdO3U5dNnbg0/vqyVyrVevXhXYbP0x6ngVtpVzgkfJVHYI07tkq 7CNjn7lRsbOtZtOwuGB53XvjcVQ1dYsnJMZWGX/PDYnNsFcHzr0YJRJ5kcyx QeX2FyYHyEUJ/T0hsENKWmdvD1C1oXA4KWf4FnVjULWhgiO/IpDsEycQgllI lmjHU65xpiaq6Z4WbhnN3bYs7ArdgL4XuGr9wHV/oxUa6+PWVXXItwzJQKuh tgzoDo2SdXSMBnQhbk/RsXUDKi1dpvIE0x/adLOPFWy5ofvaIgMNLgnVFmKr OwlbQiLqsqB1SAnQ6l4JtCj7J+YEFs+rt/fRmPXuSh2HB+B0AfaE6W+aBHZJ TEJ47Dt3NQCmglDDVpL+O7Dr23cBib8yq0/6qakD6NhyzeAwXXgxmgwC9c5n VCIXULwRkoy3Arbo+PRNA9KnxNE2p0/6g0U9pAWXkPkmyyH+g4/fr1JZS4Vb gSwq5YWKgSoWU9ClrbQOAFfEzWwwvHKbU5ruTXoCirBKLZGisKbAK7wj87oG gFVNWV5Zg8ULpeVSK3Fu30pTBVpmfY5T3nBPThA70m5AyD0ZSsTNzmIce37T lVmDLJjOOPa9hydLD1NYZCq0f5Y/WDYjY5Sh+8JR+aDMofQseqUaK51nZO8S FT+EZ+nbA9P0G3TAMvsGwlOt24anTbNG07taek3kdW8PIJzDPcRvWacVe4rg KawWcjTNB3R4j08pzBbZHR2Adqo/DSNcNifgwzmyzfoVZQGsTKU/joYImLHS GO56a7ALuTeq8kfRHrp1ud0jdRhstNAsjI4l2K0dUNpG69ExGy2yUwCBNNCq 9Hoca0NTIF2m+AqPXoR03W2kC2khYewHulo2zrqRTfPDRQ0G6DiYT3ZWU7eu gDnCNTGFXxVAdsM5hwHgAG0ANvFIn5yKFPaCi4end4ljivh8wsmEauIz8Zd4 BJzD5zg2Xy0AUCChoP6rwuQDdNr+6z+IczfIAF2QsP9KriwZj5zyDGUdBvmv lPL8/SqVazXrH81aRzjgupU/WhcaDFQmXKBqLVR9lyqkD0K5sFyuaNxQp2ot sJATSU12TmO5GzWvjMKSHypS4XIVAsQq7tBqY2FBY2GtwkKh61qud9YlOsE1 nz+aF/eOsOtM10wnY0qA0nR/fO1My4TT9VxXjSUTbrZlwmUCa8GZmcjaglvO QWRtuqfCVADw2AroN8wzBnJXRGtLdpnLDD1htmoPGNYxGOrrxLsaeo0JIAkE V4xK2794aIzTNbgHA590Zykzuv+rw9O9z49JWzY46FfQ0TpCPzwBu652RwmK zgnTTy0M8mFgmLH1CkUgyG3zJQbGNgZm+nDFXAPWW8Xk7HBc8+2yKz5WWe/Z NFCG4+wsAhVoiKP9gb6ULtAlYB2z9WqMrWetTDT5A6voKyAnhyGwr7bxoJfg HW2sOyjwqxbg143AD1beK3NkSsACPzLwArLwCOv+L23/ASdVefb/4+d7zszO 9r5sY3fpAiqa8sQSFMRKk957W3pHQOqCWCgWRMW1BHtDRV27RsSGymosMbZE rGuippg8SUx8kvt3fa67nPucObM7JP8/r9c9u3Nmts7yeV/9okO/CvZG31pJ JirpoNSwTMiZkTbInDbo8Jbuu2LlEPIyb52OP8In5leKN84rFS0b4ObSrSu+ 3ECGJJmKiObhCzXwkV/alcYifz8khxlGDV2VmQ1G8+DEJowTq0dYfLjW7hPn aTsqnRrwYYs8YwZGNBN9v03tyfaU//ovs322Svmvcv2c8l1lS4MXtAoz/Dai 4NDqLLzW2TJG13IJ/ugiOr3gx6oyjUA30EBf+4wzu/mI9DBY4mGLIaw0td2x X+tVHosjgnPaFNR6yEOl/UzDXKuyVWca0hTDgPif5othgyWGsYjK1kSEGJZG iGGGEkMSQL4Oi5HezzRi6FrBvCd2HyOadvejl3zHxpF0jQ3Al2tCmQs3NKpC TdXRkTxLDmUkzwvWiYRtwphvEz5VFZycj8dSur5ZYVtQtNxU7Q9dhd23pJuV VQ2VhLih+RPwfOuHHNOaGEprsMC3BoPp1GQZvKbEHzSxq0R7TLygWe5qq9Kj Bl2IIL2o/96uZFBJ4PdbjQw6R6CD2ts1KVJfB2GkwfaDpacUjbSNHlCGnm/s uUb06NFLSRtJ+SByDkudMgWfJB2ke1IBWzYU0M36ggzxxfoC/MGuL8ADLJL6 g74kafytf1xfI9kcJTtS2o++WCZ06qNQFekGewKgjM/JWl3Hj/J5IR/ZjA/y fWQnFhZHmf1J6OJ/c+Agf76pnRXii5BIjEQszjDqyFOtucgkS7eCX6RbwetC reAxq9Wy2iQ4nOAcnlY6lQL+5KY0FfMYZUFyO4Cf0ZgTUapL5mC/UBBQZ2hh QS4PWZB2ELCfUkydzggppnae0Tp5XHqKGUBGnwjFbJhVkIiIA8YjFLNMKSbU kZWVtdJXTKglrtPnyVFPFa/W6FYn9SnJfPx5N9F0bT+oJpfxNm45AyZl3Ez8 0W3lqAlmuSTZJFPSU6MQYU3y6AtyqwN76Fw9AuPZarufvBUJtbdlZrQaQISA Wk51y83k0i/r5g93vaLOz3zgK9yrylKkkLqhia4xrkmBR41ClLY86nhQQ1Nl O6R+yv8MeVpCdbhQtGxpxzLackE7Y0r+e3sR6WeR1k94fKScpJ+XqGjhxckp DuRy/3JhYaSAvru6VOyXbix9rmnQQ0T2PNY+Uka2BvMhdDACC5SMQveggDHc euJzvllXQC/I5/IRc+hjjPFIwhMSR1iobH3KgKTyrf3SFvoCWiRjKssMy/cP /AOo0j83JJd2U7uVFIkHGhmUajqe6p1Ht+p3XIiocr+eL5fxgFyidO9f21Uf gxehlZ7RSke1ztretaf6/c0AbTkBTfrbObJjfU2wYz3QrS5bQ/08ClIZi/JN iUtGhF4OiDDE0tXQoyPaHV5/aM1cqw1dZVEgnH1bzwqfZ206MVUu9BQsJO8X MT8jhRfeKx0ZVaOs8a4eZy1XBSdraba0EslbZju0inUw05dWKaUsl/C0ubh4 Z7cCXPSU327rIxe60Ptwt6Gj9PxMo5Mu62Sc+ye0aYluLTUlWy2uM9ljPs03 cdbFM/53m8rpO+OOZxuf+BJP8mxG5F8eD+dfKmWRTIYZIdt0QWczQpakM2Xe OIV64qm+R46n3tGOpKphcnfRtKajX5kcFFDfHzcWaGnYAsXn2l3qVEZZoMpV K9ZxSJZP3sFpvHAln77pGZBP1oaLlHxKEbmwkOTZls81w7qx3am9Z0QBV5NX zRYeGZ+/21hA+lbARqE2FCGHEMk4bj3xxbqCTGVGPj6/Qkyhj8Q916hpQny2 Do/Su1pW6dHWDU8yetm718lotjs9WYeTnIL2tbTQklKZXPa7UGVdIEPEbtxX 61b+Zuqddbf/d7YNGrN1lPfr0dFa+i/tn7OOZhjhZN30lGjydFp7TiRkcks5 jyRqtYNerSfIsUugdYLZsjejKmgCNmhDmlrZMzRwSA2onRs9sqOvZW/q1jAk ne9e1885v5Wk82kRSee5diGgSjqnpZJOfL8aSbtHlTbzT3lSUCh1AjovuiG+ vcrNQBxhT2qRpLforWQf/ZtnjhIv3X5SWCBjYTP2ZfbDdXo6JnVyfXdtU8b8 UGW4ykY66OkqZJvuOWwee7mxsi0x0LZxhTIiZ/TAQNtWMjYxq4KQpdFVEz/s 4kE18aMdeH57O21dWspYZvWqxsJ2pcuGZTzkmrMoOtKujIXtSk5DOyX+jhNk BmBW2lHJS2RDxuF1ZeKlZVXivtm14qqJnWQlMGldsM6upyxQoS91N/K/5JOH Y5MbpfP71PwKJYkxWxJx4uKztQW5SvJunlYjzju3G9+L4zZDfLqWVJHec1lD s1IZmuyrK7/diYpWRlmZrvHHYXAGBVLGLxOqXlsmsE3n7BarAMfSyGD8kjXS GJoQSDY2cU8bmvQuL9NbUeVPQYIybvcrb2JGIhM6ukxsQ4QFpqQe4amFUM9s IxFkizMbL36mSnD37RISQbvSJtCutfEIpY+8XN15b7vaOk+thoLY0rd1YT9j ImIq99qwjagqBxGc7Budp7aDk/jiCE4em56rjR92v47GnixVb6oTLLkpCGdq SNCqLRcacodfO0mfzFwngmq3fJLYs2OgeP9BeN8qrsnWJrvqNTL++DI/8DK0 LVn31ECkuC9+8YCRqAKSzpHqn5vKQtTetd503HRhZzMgl9QvnZQ1vq5fn2Oq c6QA5ocFUPd7sPJBAVXVdNgmdLlaujLKJFTlgyVpmYRm/wn952pWydHPNpZh IKRYP6KbChGSuNG3ypuaSPZ2kfzdW18jnl9SKT5YU8qm4LcXKG9aG1ObQmmZ BElfAVuDb55Xyq7zl9AqY819znJHygd9E5+uKXAK8R5dm3JmT/Ho3Aq+F5fq 9wk/8MmaAryn7mlZbMVOxFd947xSp/UEDr1gXwd7SlSA0qS1M7StyAcWMAqw dUrbU8U8F6rp5HrKkzEVvSgZlGFfmcj+RE6QUnr4/Ta9a8sKVLqQRMvzluXt fnMuPdayuZ2L6cVOTI8W0HONXdyBsbG6ygyI8cxtiTEyOQGeY5bTw65amORh ByzEKA87XensEa67Xj8GDu+ccJ57xqnQwD4RHraeW0KSuSFsOKoBlfR0p4+V 6mb1pM8a+kLcFifLr49pQ0C7yDuBVPfJ6lfj+MMEYACq1I4fgKxSRqGdv4aH rRQ2N2QzQj0tFY1HxCljEdn0LLvXzpfSDLOk6gik1PF0XTY3AntmZoHXlqeN 0h/MuoR88rAEeNvK05Y6GgvpaMURu9kFkTIKA5Kl9KKaFK41a6hzZBZksW9B lrGMYgUohoVvHNmNZRQ/5AaS0H1zaqU3fRFOIXnTheRNF3Ig8i9bVDBSyeef NhsJpS9JAko/0jcNXNJD0lRgNPS3ZOOR8Ui2XQXbeF9I0xH6ZzT0E9bQj9eQ oYh3pZA+MqeC78Vxm4FHLSGFwroh+zLGSqr9clJRzv14UQr6lZ8CN1akZ1uR jpRPblHmoAGS+Oxy/wmyqbUzysema4hC6Kme0tuOh71tNQX0H2xS8gqZrYEV rN+jEw8WZYItys8b2nFFEE9gGck7KtTkPhZJUk16Il5SS1f5pVZF3/h7uAxW qFROINVWzkyVNW84J6lZJao4KCCkG9IUze4RQ+jIEpwTPeypTwpXG6mdTSF7 EyN/tavdJzq1Myc6LHn0f6CYJ0iTswPdJA86iJlMjnKPK6JT3W5EjiezFQ2l +9kRGuqpL4pPoZpk/AryeLhlOdQT46rBCrqxT2d8jtgmNSVEvMXv7hp/GieJ KDxyvMVsc+WRO3bMUjX22QapFNNMW0zDTrkvpJVKSNslCWnLVVWiYVJ32XQc LaTpGqOcIUdJJNI7sEUw6kibKQ2kog/NqxWvriAjfPdktMF9pzM6F0FJSELp xdAC+ucLjIgiGUIqk+3boA2FSkR9Af3dBiOinMem72LH2I5iOx3op6WhpJH5 4uPz8/PF4fPzPbqBYr66RNqwuJeDW88X2pjWUn1cyyzdLr8I3bPDl+ywOylF Neypf6MbafRgGQx6QPBV1lz+kcuMGCcI0upApuvbpRlhu1SLqycnlPqmKeZv XcO/fSmqCIl8Qv4Bmaj0LWBsfFbSljG8j2vYQIaNGSSz0mnn0gdPtWMClxyM lrqaMFKKmQ3FKrEuBTTJTQ9ZmAMiBOXIBNSvJkK6JSox3rhmYJ9wYtzy1i+I 8NZhWx7cM12ppwxUBjM6qo5IBSrT1M3Aj/4/8pcC3WzQuok1NBClsHiq48LM LAspqEp9a5PSSvmoLLlUUPjuIQXNj1BQNxzNNKrKIsoSirE0qESC/x8zaSFf Q0P2qMr9tGaPPqvs0eTMT8s9NXpEn+3Xe3bqBw88ykaotT7QHmjMVmdw5rpv jJbb09ZlwVFppH7KyTOVPLxBDW5oQz9LgtnxCmODNi2qlXKJeD+95UlxaEXb UWTCmP+nwpjw5e+fXSsN0AuVARptfLoQTnq9pXQWsGx+vdFIpwvddPKM+84u vDI/Eam8eWoN3HdbOqGc4qPV+fQL/83qfP1u0+xyMfmMnnwvjlsyJM7Pd+mm wDOSGuXmK1P2sXkVLKyuziWF46Ds/ctU/Zcs9YWqpgkKG7MVVhmtDfix7dE4 KGuHnSqn42wuTNZWfDpZxo7KfH8m6l8uLNK5Ie5DNKl2xTDEUq4mbV0vN2B7 av7NCBRg7ZtbyxMkvjfuv8f9UMr1p2/9X9jbqgUVv0qyUeHjy+UeATVNQE3p KYc3FAY7czjUqUzPQKHN+jSV86jWqoqCfYVaOcOpcMyvuYiVMxYoSifbtE8r 2R0d38SUrZ7piCb/rD/2TUwjlQ0zC1h7CiMqhryIGsuiULhTyWam0VVXpYAg lkjtQCgR/CShRKJBlWkapeSDwTgN84/WZifuslE7/2gIZcKs4vHUClbs3mFp 1Damo/ZTyJoix5O7VltTR0/NLw3MLm3swNamF0qNB9LjOjXuJc+PwF+eKs80 Mmkc9oywRgYzPqUhjSxjR73lykqezIW3UiNLU2pky7Zy0bK1nIuQ6wcerRev IPyvatF1rBPf0Y4iJ5c10qS/4Tzy/8ue4sWllb4+arsSuvhH7m6RZmUBa6PS R1hoG6FBllmpBRIRyHWwEj+37ErpipcbcTy8mlUR8ih+syqf/s5+vYqk8JJR 5NPQ/RgecMWv+QYP8F0pox/xpyhgU9QNmaJxO3jK5zN28T9bJxPrbIVK+5eL moxOynLNjapdMsNYnleM78TnG2lauyFlzDDK+K05PDnDzguhx1z2NmIRdsJk z2bKmTqcYZOLaVUhLEYYFrHpSV/gn7pc1hxuFuVORxZGbDfarsZPqHr35pX8 V70DYqi0MVN1J7A27hmfsyegjdFRzcC1dWmqZLeIgV+vP7RmTnQu/BTLxDRR TVV7udWqVkdIE0KJ/TwIaZ5iJYT0BkRSyYCD7oc0e6RnaAZ+3h9EqydPvimI UM94hHrmqEqhQyyhj3e0E+Q5fDkuFkz5sWi86EwWTpymxn4I6x2qVRpL4umq snj9qeGjG8FUQy2yTe48SjV1AXvD3J6i6dKuvmqmtCk5xokoZngu63Ud9cyw qiTLkvPmpx8vLUupm7Gwey4ty1xbMqPccksy2aZ0uXe7IEky4ZJDLjGsOSyZ LZdWiOaG9rxM3V8QWsvldFyNzLMlilPkhwh92qbc6qfGv7u4kG1KpMJfWFLp 25M6kLkJp0D83hdLbUy6UEv6lf7W10rRss4Yky5rVSbZkvmkZXRI5yaTmj1M ZqORy1VSEAvFhyvpvQ9WQhCXDeoqrp/Unu9l8W0MD4sPV+XjuTieL6AJW0D5 aN/eWJ8IlgY9+pCM2jkmqaAFyspMsJX5lW9lcvIfQzPM3B/6EWFpI0QKN57L UBdVcv/43bNq5LgLskHpF6WFUpUaiLXDuol7MAjjeR7SCG3V7rweXmQKkzxZ D2vK42V/AV7Bf2w1R2qsZ2ssGoi2FbEBWqSNUGmAOp7sJm9opweYYXp+QGQz VGS0b5dYXy0xUQHQKP89XX3tGlGXaQVAQwn3U1K48NDX7ZYLj2t2rdEp4ZRR hL76AdDu/4G+Hid/O1pfZd59ZgHvk800IpuIiHBm+6rqBUqOsvmadNxJRk0S fvDgweKtvT1LgqrqyLkZXDdhggFq1nWbQmp3AgVjnNXcGQlTc1tgmjUboH6M 0wtrJ6xNsjqVVx4Pe+Vmhg+3QyZpJ9dY7uXpZMnaqW1NRxaulwTEU4+qhoA2 byaxnONPv8fbxnpysjdUR8QzWTgdaVPY4lkUcMi1sfkPdgSleMLYxH/o5xZX im+NcLJoulBN+hG1A/6VH7tEGns9HtOiycLJ4pSPNM6afALuJ8oD/1gZmef0 7sWO928ghBBFOh+cly/ePw8f896KPPr10/viPXnIz8etJyaSo75vVjnfy+bb GD/vA/U5PoSoBpVVefgk2WThJpmmUVHStShn+kzFEvgn0lhQpilQAVll25S+ AMT0cjJHb+cOJ8zniPM1xEL1mc5FWZgo5MmhHCSuzy6q5JL5Qnbl4cHTDaHL 4fyTahOA9u2aiNCnCZBepPqMLDn9LrWcxiCnmMlRxPKJsPF5ssJClc0jg//v 7XIHQtxIZ6aqmD+8vjA8SyMq6hnw3demqZpdQj3lqkLT1jMr135KK+77pSkC nyhTilJN66vwsGySa6WaR6WnmoGyLNcnR4Mame304GuJqbaKHt5XyYFHNRRD lhhFma0ZltmqryW0QXuolq3WpitNth6Jn0OIgYcLnaC37z90PH9M8+0cBUWa +FBthvpkMoLQ3SSZlM6/UpOZluDyqpIH66IEF1bq/WSlbvf1FlZroNbJM5ob cvSRUGo8r1ukwWon5TPCghvMH9H3f1e7FPFPruC8uQy6q4zVxrn0rZ4rvT/s BICR6vv3JSnyRwFDFZ/zMgzXTqW3MFT/Tlr7Nyv4CUOKDVXfQHWhtPRCWDor frs+yUB1SWghgSS10kCVEutCY0kzP1rFtqk4uKiEzdEHSDnfPy8P+irexVme J35F551leeKXy/gt2fJ0BUp7ek9x34xyvpfFtxniVyvy6eNIkVdIZVbK60qz V2uvFVMlEXZcHVnVMQZl537MGSwjxFksxDdNreGD/BSiuIgbTEmaCSKbofAy rRoKBz44EORrTlXxkCWZm9okYwNISW029VJOWHPjzD6yYaUFe2GRn+93VTqK K+tNjl9X1v+Db5TOokRqayA04Iprp3RyobyoHy0K6W0G9DbTjEFCwHJ+Xjq1 TYFra9LU286hND309s4rpifVNsk0fe9WogA7I8KljWsGHpnUdmtDajvLH8Q2 yHXv0H5r8jf/GuRCldDylPsr9RgipHngmMvpG3Sb34rq2mmnDGWZHtJyzEn+ xztCWw4lVdLrqqiHjo+rD1Gqy/dKceupegA7dqsLrhCSVV88SoQ5n++qFk6V idLhVivamsFzK43wzunJQhzISLm60v7pKr/S3g4duGpHAkdcsbXcTEaK2yoc 3E6HX9Z95VHxAhciDFlMlmFOQ2F+OFJRGBACGW65ooLNXpi6lgSjy6jECVu9 xanDBW2oMKegtkgVfv/8UlZiHSZQpq4j4wMxX35ZevOl9JaKz9YEpNfEBLT2 +tZtHmvv8wuKWVvvl9pqtPftpXniraV5rnhzSR59tbeW8F2+TCcXz6GXYwJ9 5N7p5eLtZVBl3GZK5V4uDz5jSKE9I9H00l08qqNYNriruHFyez6XjOpIP+Dy wV1d6DV9ARjmENb+vXux2PZyith2XkFijLNtdEcWaARzH6Pz2vLSJDP5CVUN Js1kztYZU/mrjYGpw22JtMuVFB7Hct5fwy+Qw3Ite8C8VrXas7VaWsfJam3K /KVaxyDUCCwUcQC3SAZx9dmBCcOmeMATDWdnNYS0OtDp2d+3C01EIV2t7hTR vXT5upHhkio1/7d3uKQKIzNVRGFXKGJrF6H2jhBsExcO1gWkp9YZfdUPazcw 4Vp3X6D90qqr23mq/DNpvm/c2MZZETFcu2feUuWM1kWZzWRdeBAV/o1ZVQQw i+k4WWYCccLvGI0yh5M02eWxwhm8sb1pR1d+yMjxs9WhqlVT/e9rsmPFI+LS OH6sUmryVR1YjV1OfBHMHqqw9diq9Y/U42D8toj1uOVqMoHndeEaVb3TQY5h KjXx2+ZNSpOTTWLHrwtIJchFJn4bFOTCJEH2810F7D2/g0FvG9kGdkmB8wkl pMGQYBZgFuHzlQivViKsBPg3KyHCeeJDEl8W4RVsALuwfukX9ytp97Ky7h5f zcL7Jp9c8cbiXPELOq8vyhWvLZJvf7GIr7n0YF4OizWpcr+e4ppx1eLnc+AA 3D2NcEd3XbF5eAdXLBqAJYh4Cr6EOjFx9k97eXJw5zk/hSM4icxleo/fwlaH Ut8wqb24YTL+vB6qR5fawcUl8keSKToPoHE5rBGX0RVV74Aji2g/WyvrZ12U lUEe/NCwlmeW5gJViGDJs6daxbhszVR7GZ1OGJ1Gru2AGoOF1+xbGcDwNfp/ 2dcJazTHLmIQZQ+iLEu7xCcbylTt6z8xh+t7RIO1LNNT8DfzLzlxwWFzGgNs ijiTqosQ+nZOivImxys4E5+uEnfk2zgrsVWfBQl2ZocnPskard4pArwIVVzd SoVr79D4u0CFq6o4IA6go6prWnLs6XgEd1T18DW4QWvwnnXFcdXNlKTBsVTx iYQyYi1JNj35ZoTJ7Z3jITkOdA48dHyeZVbDTsa9IpWAC0U4+GoiDAI9oy9h 1tWnDFb4DakIAttivK/OZNvCkiwjw1qRHTeUXss3koxWVDTmsyyb7oEUknxv uYwKF1qK7EcpWnZXcTe+Xq8DSYaJ7Fe5Gjl2uV8gkwMVrMqRQQp4llcWo5a2 NUHGf6ytrQsyxBjWMcR4ADnkt02rgRazCiv1pV/Rx6tV/KFUSXCelN9kCTbx B63Bv1QG71tKfxcN6CI2Desgnp5dJO6cQrDaNYZenAXndPHEuNN6uGJcPwL2 +H49ILJdXPme1lV66ehdutYTx2EddvHZXHH1OCQC7ppaTkKeBx0Xb0jRp2eR ze1k8zehAiKWWa1MazKrEYZ+YBa9jO9zVPoDFYGWiT9Y2hl2mo+P0m3X1+zs gGZ/usak9Djq8fi8Cm1U68oII9ryeKzbnorHWyZ1StF2xc7xnTzLpP5Wlt5Z JrUsaA7Gml30jKjJp3+3znccD5Ex55eXV4lZ5xytY89xFXNmDd9GKv1/CISQ etP/4c83lonPG8q4LtduUiHhdhJGnKO6EVYfkWAndb/Ojh401buVsPK1KswR Cin3jm5ECH8B1fzaJT2lDkwhtMIZRqkbZhQkbKVG+SrUmt5KazkqppFQtzpV F5qaou1dI9OIFodKa4uUTPOHkyzjXoGyn7VEK/s7hsvxkG3OhWav1kQptedH NDJYkfWMZ5REqAVEfkg5XDgWs9U5pM2FAW1G2o71eZfW5yhtLk+OIGeyNmN2 aeMCufKMuw64G5azdS4PAygKS3OgOKx5YzUqHaK02baUHdnGRd/JZUVJ4oxq h+9JmP9BwvydDiCzMBeYwPHXKlr85fp8sfLcrqwjnyqT+COlw78+j0xfEmIn h6X4gxVSjlmSlytJtuT42bnFYu805CjZoiWdpT81Elpx1sm99PA+iLHDukyP 7RxdLa4YVS0OzssRL83NwVt67OV5ZDG/Mj+XnvDq/Fzx6oJccQhnYa5oXoir r9GtJ56sL+JPTm/p74Guefywh3e1BU6fjWSbPkSJNodJVKiEHkOcJG5EGwhQ ws15RVjKOnKtzweccyTt9mQcGyHsuLGzP1LuhEwecnDdb2NDFETWYMjaXzsK 8qU0temZWqtldV4Gd9B9rbrpvlZNIbzP5PdcjAE7GtnBP25WPSSuilRfgHLh b3WniTws2mxiu8qy1slBLdOODoagrnD98G7i/jn4z0yynaHsbkTE/imLaRxd 3wY74FOyxREaQRM2Oghn9T+aF2TSwxtItx+cy20xXJLxm/MLkCRMRIh2/wgb PF0h72ALuartNTobNzprTbxyTm4laH19dNC6t13jW98vqfdCl6yRlHduQ8pj 8k4x3aDOtwb38uQj/49uaun8xJE5xJyI31XXaNXPtlXfHqgfC8VIggMQTDwj bmov7Drg0ogItbbIIfNK1iGBvqb7ofHWNR1G9mVd/XH9JOvJNcEHqlN1TLim IsOS9PZBSQ/LetuSrvYmdeRZ/Gxbk6bD3pbh6LJwBYYLRcfPn6TpJWxrowCD dN01s/eLUwQ/8J+QBB02uFXApuVc29l/gUW22ZJzkvLfkZR/STb2FyrS8cjs ckRlRdOscvHSwmLxwMxyceGIDmLJwK4cVp54OqR4wuk9OMLgsiWcpyzhHmJR /y5iIZ2rxlTDlhZ3TG4nHp9VxJoM4SYhJ6nWok3yTa/Li3NyxAt0np+Na/Qe Ga649uJcKfBK5OnkQubFy/S5XoHGzyf1JqGnT/EYfQnwAvey+TaupZ9PUNkz jbK/aQXBn51XzD8GKbsLafeg6/QH+R77EibizWUjdPkDuyhEq3o2q/pHQVUX ry4p4V/pJxzJ94tAbFFviRJ1ugVtf2dC3JD3hJL3goC8v7OKO+NUM7Un6xFl iU2SxmeENZ7TE7bMI/ry14t0K7c6qpvjpWUIFcrQCgLhh9eX0c+N5m/0eMw6 x+qPo/fXq8ZwmO//vEQGxTnqgnzq7LxWN3X6gZR05bwu3KqxfoxdJBcaXhil 5LpL+Eal5HYRsjHlpZLjM6FbI6r4mHjSqQ0l1yUddHOQzr/5Go/H9V6mm6OD T/fgruDR31vXJtLNF+q6/tj3Hb1Kiv5lyucFSkk6BxEgS0dmFORCXjNSISDK 8NehbE0ElH5wYR6Ht2t1awiKkpZPQoaU8IAyEQCg3ArM6GtZVsTcCvFwwXQs fTogO9lUJ238eT05Yq5ak91gGjNlPKYqajZOnc8Gy+RHzQjz4cq6lGxouaGa 97XI5VRk22+viagYSWKDbew7OhBjwwHGftPSOtEw9qhgIKYiDAc/Tcl2fqEM wIRs/D8RFP6A4hB4+xvyxW8JDBx8UaHvVxcXiz2Tq5HGc1X8g1ggtgzvIN5e Aml9C0HrNzlyvYhufoGb1xfSDUzvfPEamePNyix/dX4OSTgdknXGAUn8zRPK xJi+PSQOZjMOxHOzc1xxoJ5unp0l36O/gefq+QF+wvNzciQyPBsX9M0QLOga cPHIDGaDvJcJetDneEX5CMpPcNkLyDIx+Nc5Li9DN2DE3dPKObDuewCeHbpx XFXT8q4J4+SpKsNM5oblCRhoIG8re1xWqb5Au44QjoADTwCP2aEbnM/XqW4b GbjxNDV8cnDI3VPNOmDFzxdWcMWgcgUcLxUnOHrDwRsdYrd9APrVwZCYcU5P 8cLSSpDC5TZ1+v7XlXJDEbpaMDyJUOHIgUpymzR3uyyrAjgyAI6E8g3Wn+Fn OFvpeQ5YsSvTxEFtRE9KCAfWMq2TW2l73tNKzfTJEUPKomqm5fb5jm1gwcnG TTs6Xyllf4XOJXReVfc/V48rCAxSl//gQyVrsrqGs8+Rw3+fUfe/p3MmnqV8 qQByFRymWmAQh++r5JSkTwg9OjeaC57qgQktqzFMqJ8ywC8fvLYfrqHignkA 3UfER97DLWlec61mhClNNAGmK7vl23zAdaRVo/mgxvCCbPAZgIa2kqteBCkc RoUODVlBezzg1xjigccqAQ4LFogN1Y84RjTvrAvAomVPtWiY1sNf7nU9ffK7 26UoL2wVFrYXge/h2hKkclRkSO8uSXYjIiJCRIl/qmiQdB8Kgu7DxnzjPryx rETcMqW9OG9wVy7MQ6aRG1QmVot9M9oxJshpEG+Tsr6JDOdCIOO1BSTfzQty PHFoPqQdXHh1nuQCHYR16IboIH2FDNtXEHvGl4kzT+pl+IDStlnZ4pmZ2eLn M7Pps/98RjZdo/f52jMzwYX99Lw4ni2eJYwcAEokTuix52cHYHImORT4qll8 G6PbXPZBDkofxISbFNMsX4M+F7wNmQJAgsDyNeixt1GFE4TIO4wPQCRmIPKe ziP7OQDlbDg6hnTJqI7iktEdo2NIkhz5hhyfJ5FDFtYH4/6/U/BQcf/Lx3XE 4XrHAo77F+g5I/SB3BqJLvq4hog5f9qsimtihiWkCR+uKRV762u4Dmqtmixq TRVlUmDkHsGFM7mFGcCLCw8WPkch+xz0yKmdQjlYdhPOUaatqpKGqsH0XZUm LmrSb7E5uGf6ySlmWiKqPwS4cPHuUAscO+pPMDF+Gxwpahl5oazfbNMhLXBc qlT+YYNT+fZRdf0S8wGZhXSDAek/sT7P79XTVpunxS5Wl951ZPQpqkS/o48N WRs5IAfYiBlsRO3X9nyA5Admd4SmHZkecxsay+t/CmeA29DbK8fByvKqOshm 9ieeIF40qAqchh5ZuJzlF0raZT880ePVmoTBhheFjZs7mxxw+1Dq1201/PQf 0OOcJHq03FLNg4ibNncKrAZq2tgpVIjzX9LjupKAq+HnFYp5EofsNi/y/Qui huAkb6EMPBE1/k7U+OuWAkkOosYfST1+T6ryy/NKxO3T2pscAqIjK4gc8C8Q ePoQCYPlueLdZbniV0tzxS+X5Ip7prYTZ5Mk3zmlDMgAMRQjWJ3hQhwkMrwk jwtUQMhnS2/iBa3wHgTfSbD0HwAGCBn3TylgkjA6ZgAdT9NtXDw1PVs8SeeJ afLQ+/QYXZVPiOHJNl8kXhIBvOybWsgkUR4L2TPGZ4n7PovGyjywA1xJSmFw OA2htddlfZCdVkY+m7ESA1ZcUEV6JLlhmCR5IagGeqi+XGeQZS19zISuPtb1 /sBJgnHyWRAnMnrFWDFESYQzyXJK/vwKHyz0NZBM+tqEsgqYLfBL8Dci2+6l fwK/anUpepkwbNqRg6cTZhi/RgfGk+Ltny9Q6eYYXJcMeC1xmC8c10qwt+Jx RPTUjpIhUTXw/Xzb2PQduWwle7ognIMq6aKlfURdfEjqrT6kk63sr5UwPtNQ Bc7LjoGcZrhlZR8cFxlkF89yEa9yxYpRvTz5Hl/jR/l5iG55HNeiz8Z0OiMi B20A55cKhfCkR88rPNW1hSfOXHyqYHK8ecD7gbrEPWDSJ4n9UF37i3p5FIrw 6G/VQyf7r1ygM6xOvXIWihzeVZSXikOuz6Fs5pBdY/TEtccE+50wxv7B492I /lS+Vm3lN/iBZn4gACJ2ihp65OFyZpogwqckBqltS3g0OcEd0Z4ahSI3GUVV PopQTWrta5c04qCX7FD9UaBDteXWal6xhP+IAJFcsVQeURV6BDDaUxoBpBCM FIjgxrRc2E6NhepkuS+FAfflbwSh/yUIfUBCcmBhhbhrRo1YPaQr/cgDevdy ShhEcF8enV0uPl6VJz6SiWzOXr+nQPQOQch3X3LEk7MKOZ+x8dw6MIjJ8+Js EOL5eiLEc/XwPp4jvByQx4GXkk2/32eJFvutw/SYkS0dlmygRTxN1Nk7sUCM 6kP+7OhS8aQi0OM4U7PFY1Pp6Y9OoRt6j/60cO3xaYZULqMqhwH21Az5KW1W 3Te5kIF3w7gyDSuJRPqOD8w24TWVjsm0Ymu5yWkYhM82Du1A3zm7PwutUtbF ssTVwhRcII/jaDFO/5siKI2sRAhXElmTZD2UI9sMPL/gaZXf/xViFiNLtgfL /jULWryLBYHiUOZFrhGoiKkQ2oYCHmwgu5HR+YXz8wUV4g78+XBnGIFNjXbh Hlz6+POHdhN3zqyRPbgLUUD9h01mps6zanvhn6SH5FdKueAWYysD2EKB1JZC VdgKT4tuOfQGL3FFvumXjUqbyAVyCZtdukwe97l3QGlvoJfgvDRZVh3BslDf gNXjdVIr6fLTLOcIPMMBzwhEDhOMPt2S4ceKxUOPFQuH8HHF/HPpZu6gY1wx e+Ax9OtYMfIHYtHQ4/geX1OP8vP4I+jD6TVaNqIXZ3Lgo4F0gCe+IJFQfSNJ s7nacNCs3gUQsLZNApYpdn1L5//5WMO7f1YPtTMQ9HLpplJ/DpX3f0o9bZrj 2OPNauVzAD2/9eGqdllJ/hcquhhL2v/KVTWuaM1t3NBDnHTSSeL8BaeFFxlk JOVfan3PKyGa71CXm2tF065umnAgHgq5FOaSocnfhMJczJ7ercbONl3eNea3 RMCdbK+LblvFnsMLq23quXqM9zPVknk/ZxA+XZUW9AYw9Fpua8+el1qOJVpu rub3ZQzv/4/QM96Xlf6/QnpejVM78XTRQysqGXifrCsVB5dUiPvqa3huil7d AmUi4LHX9SWJ4Rew5M/PE5+szhOHCXi/IaHVXtd7ltf1FuR7UY54nYD3Grwu ROaIBOsJenBrHppawIxjps3I9gAyBN0Am+nMMXhT03GNYTSND10jotE15tVU PnSNKEbX7hhfIEae2kOs6A/T6dEpWXTtkSlZ4uHJfOha0yRca5psX3tkCjw2 QiKIyEcxkR4zREyIewiq9Wd2EdeNKZVU5GhhDkcHM9h9KzKu24FgookDj3Zh gibh/HO6cHGDVXjmuLrsLNjVAa/NSdGCJ2OCiWBNsOW+oY0DwUB6InlwkoQx nUbSNNTlv7hBCinGLSufqB5COi6PzcgMuG84cMOfmFch3lheKt5YUeqKW6fh fycWQvLi8N7HsbF0nJo8sYqu3z69hp26pxdUyNoEbip3jTPnwpfjAZsFTESQ EeXdyDn9EeVoMt202YQIVZwwYRHwsRm5+43WhaJOcrtfhj0UwQZdIjXj9NOk X4db/WQbdFX/Mej0OlndIHdqCHSAHFgExLlAHP2WADhiFvMM57LZvcVVC8hh u3PN2Z54+ILBsM0uHS5ev2YsDtrtrhnr4pKLR/l5rrh+ST/6E9o0+QSQECDk zwmAAqTy69F3RZ8LrFNeoHNKRLVD45qBR8Y/Dp/y7zHGv1fvcBQEvf9RCPul Zb+8o67x8LV8ee1ldW2S//LHtY8e8Msr1Z+BY/ecrC0mKvTCQu/sJAja1Q3s /GWrQWuA4J4tvcRZZ50lRowYwXvLFADl9CHXKm/QZQsVdqxRxxk5dPlEx+Ik 9lkFDBb7ZMd41MT1DB9/iTD+kseuu0cIP8ezV+w6stKhQrPPVDq03EHgmynB J8OQFaYaDhvK+Xr6AHRBQOeEEAMj+Bdw+Iqlw6dzVjpftb2Q2Yd6o0HhmWGk Oc8uLBe/35gvvl6fL363Ll+xL0+yj7h3eKVmX66JOGpH7y3i3hvEvdeJe80q MyUdvWw4euLBqTJsuGZQHbBHmMsiuGWJJ6cCT09MzQLRsuCdEb0e8w9DjZg2 md4DvDLEw5OyADWx/JxacfqJvcSVI0rFQxPpOQ9OxKd6YGKWeGBCFt7Sa0TX XPHQJHxifIyFQUnBBFPwUUVBpil5kdeOKgUHHQnCWMA1fJqdz5nZxD7FQpCQ TyBTloKFY8kJvmViu1AEMyIztlBnxjzjGsqmmFZ4mME8PKCK8ywmujo5hudw pbmfIAsWV2Ryn5DJka2WFXkodLyJXP5tozu64rxzuzpZJhSNYSB4iwEhK+nc Mq2G22WIjQhzctGeKdZT57c8AZX8xhj8Ro5xejxjJcYBTqwKvZO8xm/Axt/L QOemAoXDAnYScQ2p1T8ixcrrQwiNGUBjnIOanjj/tMwGradRu9NlJoe9QVyL ilryM5RXF+gHSdf7q7R6FS0oJvUqcut4fT+4USe1kin7KZMnL0BGPEakYmLV D+jJJAMRQTVQkUDHPKxmDuYyFXGN2BcgH6pUQD54fvic+NxEvd6tdKufdETE a9+Wx+f1UxB7yXrJDqprfXFP2R2oYZ9Lp9j/6NgxdPNPC4yKgeHWd34Fy+WH BBjYML3AVYszm2/qzDjEPeZhDrCSaWo5PNV8zhTEauM7tv+PWFA/VBJw+0Dx 0m0nIjSK8u1gpFIDUMY444FkGz/pjs6oA2+LgnE1E1q6oYaAsRACPRuBuMd1 G6Zm47n2OubJtPM3jjgy3BlX9KvSIc9wkV/CoM9GXtOWzqYVnkeYWoXgjL9+ x7eGPpcnP/ch+hHmbiuLcP8U+my3z0666apvjT1y+1o2lYnGKZ0Ye7sndhJ/ v7CA0Xfl+I7iTw354g+EvG825IuvCHu/Jey1EPI+J+R9Su7exwZ7ueJDQt77 hLx3l2rs5Yg3CXu/SMJetniJkPdCfbZ4HuFM6e6J8wfUcYzyqalZAJ54jEB0 29h8ceuYfLFlcKXYRSDbNRyqSTgjnSZ2iQcnKJrR2YczPtMV94/PdErEfeMz xX3jMsW96uyls/isWtGPmIi3O4aUiB3nlojtdNYNqBBr+1eIdXQuHYKPzaLP kqXf0pekT05/HQqc8ktPUuiU3uMI8jLpBLxHzc3HbO+RwBgdSiVYRoFSwRLl jGvJUVawVBXvCa5mD1WyhxxH2ZCkYqgOZgHkEsbQsmriqEskKPfPlWTUiT96 GtqrAMrn5hfz2TezXFw3sZprcS4a2cFFYY6LkCp9K6jTQfQSY1lwULuzfHBX sXU0aj72TMb/MpDykKxhVwFVTw5F4KAqfExMqvF4YIJyJxHlWad3vlqYdOWA BdmwxFNvvtLZwQUVNjNRhaoHj9OJgZnIBhYwI0FKouSf+ChSuhgpSQ/07pDU nh9wAX/It0nh0f12eJQ7ajiylm6pYcWRYFFOVLGxqLN8CEwCiycxo3IMFnEd SATKbEfRxmFXxmE245DuMw7xHKBQO4A6AEoYPLmVKQE2BpdNPDE4tCUJg9Vp Y/Bl60V5UV2zahGzP1bX3qYzzJHliCPpfKKuo4bx/zlJYW9GYEU0AjMUAhX+ GCNZQQQCIX4+ECeudrgAhcAfMMhdTbedyMWO4ZLHXBuLas5AmY/FpBoUednT hOR7xaYuRVOSiyF3dvXTgV6Ikhxm3dDdKnDklKCGJD7IGue1R1U3tkVJz6ak XZ/iT1BsudOi44WownmkEraB9g0t/1AXOTZfXssZwhAk8fnvauf0tXzECEqG nUM7G3hNyDm8guh4QZkJjDZO7iS+RxaQCPm3CwrEh6tLxU6iJAKiv1xRwk7h b9fm+YQkOn5MdPyI6Phrcgo/CAREcyQhiY6/IDq+Nl8HRLPFy3N8Qj6nCPks R0GzxN0T8hHNZNcOYgucDevdXZx2grxPb9Woln4n9KJfs76ODjIc9Zy4GPLT 7iTcfTrTyzmxT2fc1S2yrpjXj/4+5vbD38C5dH0off4pfTvT73fKaZ1joKcn lpzFS1IHVopp/Trzd0OIdNmtjGs+Ao98mjis+vBkhGR1WDXsQD6tgTiTHEiE UD1mIRzi0X3BVaQUi9oIovqB1BALTT5Rt26hcv/qcdU8smFCvx6yAW1Cv570 3Z+tOIa3OBNOx0iGJQO70re0ZQT9d5lQjQOrYGY5/YpfWFDMLckfqIkRmBzx 4UpC6K9XKq8xg73GVxbL3i14jehylsUwWJAmY6kShmvljIrPeSAxbuPcTyeB KA9mCknfMSG+XJfkO3KQFcvSY7IC86sNspu3TR7GFQ9t7KlkUSBYKudupwyW FskPCZRSpOsSlqfJPj2+hihzklUzz+wj+JB7diIzKTsJe0AXsKe9QKCNEHcs Ey+LiWc7fzrkadFOETVY5EJ4O6m1eThJpKtqk3QnKFK9bpHudXXtpz7pvAcc v0Kfvg5fQxS0o/6MUZld5eVJvFUQIKbnQ+ETchVj4zpeMC4Z53Mu2+ecp8Oe OvTJkUdAjlf4EOSmTp0qdm04FYSJt8I5k8HTMyfhWjXXhjGHSCRzDtd1NUxJ kjeIYn3lUMp7Dm/3NV6idFBVIUw8lTcoORdnTzDAugMMNhUFTYk4KwWIDb4N s3rwsiBJt4h9aZgP/FCFMz7U9lUuQTfsGB9y97SLCIRakLPdQBP9DJe7FFvl LmWiYXQ3CTdyAcVWWeryj4sKxN9R5rIZtZbSBfz5/HIUuIhLR3cQXxDcPlut o5654jcrgu7frwhuvyS4haOeh+ZlM+AOKsDB/ds3qUBcN6pUXDSkUsw8vbOY TjgZfkp3MfW0zuKuUQlx+8iEuGV4QuwZlhD3jMkUd45JiAfJ4XqaPv5luJok iJ/S9/wn/Fy30s97B/38d5aJlsZK9btrJxqXdBXjSRTfv6pSfIDpW681YIjv ARLqJuLHnYSrSwfmidmn1Yi+P+klBp9M9hC933hugl7Qa89N0M3gBIktvSuu H5oAGsW802vF/DNqxaIza8WCM5FeXHhmbQyEdBjAROUe+CHogWGn9IjTz4Ro v8a2nA98+knoJTvjpF4cViXnl+7JW1zD8+gtPY9u47ibgTyphyCpK4cKYYxF hljQv4toGNpBXDW2mg9KW9XYN7TRLcnlgGiu8fNkQHSpcvIyjJP3rjqYrSED ois4QYiAqoKaOLioGI6eqxKEq9T8JE8TTQ1W0lhj704VzXzuHw9Mo6+saCbe WF4ipp7Zk99+uU6WfvIUUx9hqonga3kclR/8ZqMc9x9TgdA3luQFC1rY8zra F8BWg5klEbBLl1zt/nNyHdwz3exiJ76cwHjJZHIhswZqzRt8dNhR+3GIWLgc JpZKzDknKGIhbImiFFWWeVL0aKAUxKpsk1hdFYV+Z1HnS3Wtm08sjjzj2mV0 sOr+Pjo30ZnvyD7jRMTrUCqB1cHRvcbVDC1P1W1I6a4xWzC1n4ZwJe7lGH4l 1PZhXb/yzdPErN2yJQDMwqqPEYNOYIRktgIuE3g8xA4Xtw2EilYSillWTUsS szBcuYOuYeGD+/DX8BEanhm+Xxaz/TKrb0BWrGAOEeMqBaqqQiWaMbkneZbc k9x0UWfZK5Dh9woYVFX4qJqchCoELZsvs3GVAlXaF0uKVpaEopUSU02La7Gb jtsEmhbQK7CjUIhtheJfqMgkTMEX+yv5Yn8mTP1RRyrX5YkvyQfbTqiCwf3I rHZBH4yw8S4h6h1C1NuLfB/sF4So1whRrxKiHp5WIH42tlRsG0oYOaMzo2kE YWk6YWnjgApx3fA8sW9cJkcp7x6fLzYNrODqzs/pa39L35e4soi+/yL5czQW y5/vZ5jfXyoxdbvEVOOiLmJwv+NEy430qtxHv6N99HvcWcvucPOVtfLX/gid R+k8VqFfnT+TNfAtnfeuqxKNK7uJPj85Vkw/lYyZNWcUkZd05YAMsVOdK/pn 8P2rB2UAY+L6IQnxM4LpTQTVW0dmittG0VFvLxlcwh7jgjMAtDtGZzrV4s7R gG6muEudu8fiZIl76OwdJ4Ok+1RgVDl7iIGa6KeuJ0XWEFi7dnRpqmJS1VRX zBHQA6EIKLw+7fFpbw8N39rTg5f3hBreceeUdrJfHO5ehlUxozKFnC2kh9/C TRCHualwyD4efD3EOUN+Xl5qHqJyxmMqxrj3/VO/fkbDEW3xAOPry9hBlHD0 DBy1u4dr6I/ExCw6DgMSTt56OUlLHS8VLTlVmheu9wxk/Vik2whoyuBYcBDE ijQhWZYmJK2JdyeFGhhUwedPmGgJzryBaoAkqIcIJXw3AqRzMhMyM0BIHcHE 85U/95OIik1ThBOzV1D7u1qT4FjRZsUm+qm/VeCrNg/E4IhhYMdfHelsK/YN Vc+8G/dQviktGWmhWCuvJAXF4b281OkIUSjHNCUMApcvGMMIbNxyhhg3/BRe sJITgcA8U8BSGPLYTK/dEx0d7o5zwUE/aydH/Nm7A8xGl6adXZ1E0Ddrg3XK JdM7rqOKU6pUcUqM91k31CvMXQzMPV4p1TQWZp1Mzk32444RrEPssflSxTub dbZLFhVz1JxTxZgt28g9mdmZGcdLBdEKhzY4xbl/owXu4gITc/wLcQ5Zud8r ziHe+IWKNb66qEhMPr2HuHhEB+WKEeOUKwbOgXFPzCwQt44vFZcNrxRzzuws ZhPbRp3ag/mGkpGdQ0vEs9OziINZ4peLssVn5N79eWOe+NtmdP+WiPpzeoqW Bvo5LqXv73I6O9PnHJrRxb30+7lfck48SOehco7xopHdZ9zjlWhgrKQ/gicr 5cqdEt65O5acuH1rqsUvdxSLF0n2XlxXIO4hltxIjALjrhqYIXYT464jxt1I jtoeYtzNxDY4a+DaLSMyxS0jM+lPhMjnAnmuuH1UJv1B36EoB7qBbPdaZHtQ ke1hRTbUwcw8o4tjOiamBfr6uK2P/vrDnRLco6HSewpsso/QyU4C2yMzCrkW 9LZJ7WT4UoYwXTV78PWFphTUUeNRkNbL0GRT7l4uxqkE+eYCb/Q9Y6UDZnAl +3px4+v9Wp3frERhzUe8LefwKlP6IiGHWzXN3Lh+LkiHWO+cci6E+YzbJ4Kw UycG2MVAN4YbOsgJb2+uKOFz2zT6z75qiN5Rxr0RvY/D+4cthEWMnUgZnGz/ X9CrtE16xcP04kqQE6MR9mPLz7MjlIwn5ec9fMHgPkyxhKGYLknB03RE8n+s okur6eCkiGGBc6P5VZ5Wz90+RaVV5gFvtbp0I+6pIVEd1LVfG3iF7IxCH2NT wxjLisCYp25bmjroWkzOSNX4FSj0nwgYe+nWE2XDwbJJjLT9N/6Q81v408Fe HUJLSqI5PCZEZ96cfD1EyopEkieXG5Fw8506JxZYU0bHL83MiATbS2GwxVVe rVo07ejCY79Nqx1+OT7bRMveGtG46ijNNB11dFhBAdPQ+EHLj3OkI9crtH+8 PLL4EpBraaySjlxSvLHUijf6cGvZXs7jpOC4Nc7oLFouaic7DaxqS443Etz+ AbhxvDFffKtKTr5eL+HWomKNHxOIPlJxxouG1/HwbPr2F5JIomtuA52xfXtw ESW4tpX8touHVIhrRpSILYMrmHON4yrFQ9PLxKfn5Ygvz88Vvyd+gm1/py/7 /YX5km0bSyV7mW10doFtdK4F2+jcCLZh/2UrbHtAc61c/rol1zgQTB42yIYs KG6eqtR1s75XTrft5Eu7+ih/yzy/tJWyqMh+OclGQfPIbcs7iHWjO4qpp9SI aafWiPPPKGIaXkM03DEwT/Ql+s3tRw7inmEJF1x0yQEk+t08ItMpYC5qX5B4 yDTUvh58vHtVQQxoePOYfK52Wd6/1uqXiIX7JaxWiWKT4AvgMIhC6d/ReWha IVe7YIgXOvGlj5cDH89VA7YWJIHw9SAIs1OAMJcbBe9VI7g0DuV6jVjA0TM4 9BiHaOD8NWMQMPR4QjFXgnLT4GHl9mkgosoF3AsCketdYozBDMbg60tLxONz y8UtU834Ao8rY2J899Zp7fk8Ma9cstETry7MNf5bVGZONm8l7EBn0vIx1dUc KGRJl4AlR0BAe9BtmIBqNOKPlBNnRzqRn9ORTnQgnGnhD46dRp8Ob6LE5UfR PQcB/BGPMWExjL9LGuqBv3ZpTURBo/i/6PyDzgI6KKtEfPj/HOnD/dD/tf1B XbqCX6rL+Np8x/oXi8BigcQikLi/Z4eYmNo/G0hkKuS0gkW7JtPHIs9fd3LF N08pLG4YaYow33/guKQWAVW44qZiZG54u5wuT8m29xP5Kbt8K2PHsUzyCdkT 1IuP/JUZ3e3EHQMzw3iCsXA1ykuqGgXR2Rfa6xFbBprwCAHNpu1dJDMzmJnY 56kFFW9NKUpMlaJUBvv04mFiMi9dXp/8Q98djCRmOx7MiMG9jQu6BEtQArQs FS2XlYum5XU8cZ1DnEtqrd6EEC057FnAYc+/K1r+uUGFPYmWv9OlJ8jMgZYI eSIrt1SGOp+pLxSbhtRxo/m8szqLtYPo1Rzdp4fTheNyM/p1FivOrhGrB9Ry Bun5OQXiN8tyImn5mfYENS0vS4eWpW3QUkU6lQfIL0wl+ew9+BAqeaBmjL16 +qu6t4ZXBtJrqaBZ4TegPJE8WtM483pK2o3V7MA3LuoqbltcJ2ac1UWM+mkn MZrOwJO6c0QVSUDk++BK3jCUkEnvOMeJG4fJCCpSkuxhwqtsg6BLVOnpzuGl pjTGbrl4REdNIyKnyq9MQdFsQ1GuER1cJ4fU2A6lT1H6VQU4ysWhUM6FVm/h IpM65FLRe6a14xIZH6ESo+8szQshNCuMUB56oGOlmqEeGBoDQundraM68Lie w7x9FbeyOObVxSV89kxuL26ig+cAqWrfH7+PAXE3qUkLry0tYbS6ICsXzrgq jHrvxOz9AdHlQFq1T8qoSCdLciefiqa3IV1SFqdJSmwZtUl5QqjHfdl4v/Xv hxG41DFP4BIxz/4hb9HGpa4I/WE0Lk+0Cmn0UGL6llM4jGXpzSRerPBozxUG QpeHfnn7neQilucjeBlw3OW0eo95iY8lXsqqjSOHpZzOlWNguWebLNXE2/f3 HYdHeWqKBUzHSzUBhumZZ+PSzHCRYyjNNTV8UlZsRmUKYxZbrd0lurbFGvNi 3My4T82Qm/lSe6uM07Op6cgazgyW1OYbOvLav8bzj9ISq6OoVouf3rxaiR8o taMJ4ZXUHO/7mGFq6gCqShSCmlhfIgOopSaA2nJ5hWic3VkM7nucaBhHDN9d HKhnYWKqbnYTQCVifo9EIRHzryDmJp+YOlGoiXlYtTG8R8S8d2qZWETOJdJJ cDAfnpovnp+ZxcHRp6aQyI/JE7uGFYufjSkR90wuFRNJIQ0yV+aI3ypk/qXB R2bD8G6ieUWFj8wrFDKvVsi8TiFzj0LmbbKeJRKZDwaQKY0XcM/3K5u2duZV 5gAmvXTPVDk/ode1hl9XXoZ+Xw2u+llhg88qv29Tv6J6EY02fPQK83v8HY2o L8WiXF6Su5L+r8zpIhrGHyXWD+uA5KSY2bdGbDy7mKOzyELqt9dLvBqm3pSC qdcOz+NaVLRv6Mzj/TLz6Kr2RgurjuyIrOSG/3AzPyN1WjJSzx9UJ+aQJRDl mEYi1cIqprAdUonIZnVe4zYMMDYjwNi7prTjJQdvmEHX5KTSc4KMzSXG5gYZ 6wKxHK2lr2bTVRHW4XQkz/PsIJYP6spHTVGlx87p3YtX6NITMCDv4fpyHtnA hyfffMwz2z5ZbSK6OHEVz0Wnxj0TJE6j0oft+DYjvPdaA7Tbf8HTIpunF89N O/Zq8xS7ZnUrPSYx/yCCp2vH/8gOvjqDI6KvYZ7+oJWJzieEoIrvLQKqq5eO B1RL24CqfBPv6cjVvNc4Mg3YC1fVh51IN+PVcWJ8651ug1TFbQNBcxmjtRaS k+O5/8qyRKss5TJRfi9LDcv/5slkeNJ9V7GI+bleOpr0NsPCJ3zRVvBpr32J W0sX1a4As3SxJBVG5UcF5j0jxOvpOhwOLvt1OLJHIiNI01haAEUTBMSVwUlC C7+TBLZVgMbCAHVBT95eXhHOQuIL7St3xkqAapfTrrRRAdrmi2pYkVuurGA1 rj/3aAYnACqzj8WmykaOgmkDnhf48Px9AJ650t1ckStenFcoLhxex/7jeHIz d42qFK/MzhYvzsoSz83IEk9PJc9obB5HZLcPrRTNcwmo9QViyYAuYt/U0gA8 /5ASngVpw7Pl2srUmUdEZ3VlzeMVGp5gJ71WeAkIm0SSbZ35tRT7q+R5tsqs q29cc5QVm/9xejBVs1dN3F1v2tzrw7R5W620f7B1/uZ2cqrPjWVyluq19GNt peesrRaN0zuL22fU8HTspWfXilkE2A0EWNSpXneuhOsNyn+NgivqV5EW3Tq4 hMt87h6D5GemTn7KtkfPb3nkmQHoeazw/VaGK2YRJMP1EnqF0dEJuGKoge+v ZrcFVzWum4eygqyZPKM1RFYu8wFFudRHuq2LyKXVPHV5m0SMQfrs3CJxgM69 09qRbo2v1g0dyIGqxkVHrjfOEJPo2rKBXfn6g2p30YeYlUN89YDXmI4Co7mH I8EyQUoPEEkdzDzNI5Ka46q48N3jfVc0Soa5ZdsP34bzl8zZHsrnsbsr0oVo YWinTWAKTTxcnprEz/By4ONT+KOan8RMZ1gr/NTh2+ND7YP2YGv761tpTJSp OuFSHIwPpR+tpA2IdpAQtQPnOlsc8EbRFrF/Zxkir9EU1C3xdnENX4tbPHz/ /uOCPLzlRHsSdNPlXTUPcd9xU61P8yLI6Kq1aYHtlrwjgT3EQ7UlpgSnOKp7 cGOPuJ4ZWuMkbcTxR6nF9IjQ9l4oV5llQq4t+2pZExF6ZSfy+o4qV+nX4BwJ /KZGwa8Nz9HPTLbsqhANE49i4CFk1Ly52iq7UeC7OgS+y33wCQLf/10kM5MA H5fdRIDv1YVF4sYJ1WIpAQy9YhcMrRO/mJ8tDqGNb3YWe4zPTCNlHZcnVpxT K0b36S5uGVcqXifwHZhdwB+3bxqBb3mO+EyDb70E33cXyJKbptnksk2m3+Z2 C3xXKvDtVuC7QYHvZh98TevI3FrchTsgdGmpAZ+VlgyBTxLsGbw6+zHGoPnG DvyC4gUG8OQe6lq/59PpJrs+W4NfIBBbGQjEhuHXuLAr77pLgt/1ckGpuKZU 7ijaWSKXEu0oxtpeXiH5lwvp5ZjUXqwZXCcGndTdFeNOgZGHOC6aO1acCfPp gv7FDpkgA4q5uRGlQbajaQqBgiy05gAUGCA+ZAVydRBXw/CaUaU8ei7gaU7X uyT8iqBn1VRXhmF9EgzdKBpmMQ0Rxz+EzhpV+PrkLN48zQvzNg2FlCzq34V+ ehDy7JM14pA2T3A8dzH97eHsHlctrqVDaAQm6TnkdZI8/WqZrIV9l87907lc yGH3kz7n+8tNjJfukR/KVUOe3NiqCekCkJ4K9N45Lol9gdRlvs++cEDWpC6P +S/YVxBazxlY4HPk7DuulVisZt8oZl9GZCyWPuYHdhuhasog5J1o1Z1atAvM ysYqB7karjg92GlTws4Gh6t1eOAXj/06cuLJLro4E6/pmn6ca8Qh2skgpMN1 LwZ3GD4N3MVbxR1PFLXSjonAXoZQSFS6eKUR1Tn5EQNl8BZXEwaAgGl310yQ iQX9vmTwtTxQy1rIexxu7Gi63w38/kPw1Sf3vD8QCpnutetNy9jja7m6klyG o+Wm0LldOMEI6AGAzQ3V0kNKBT3UcobLcULQ4+QiwenTVbli68gOZCP3YHhd O7ZKvLUgW7yOvok50tNDiHTv+DyxkoAH+K4ZUCters8Sb9BzniPoXTeuEiU8 4qMQ9P5XeXvfb8kXjZM6+tC71ILeVQp6jSHo3UrQ203QW9uBPb4k6D0Ugt7j kdAzLh6/msgkz5U5JyIfCo6ref45yqb0rINnqqOplxQ7jXD5rPgpksXNl9RE Uw8u37YK0XJJuWhaVCcaRh/FU8oxsUevLcAkaAwGW0UHs8a2ju4obpzcXlw0 qiM/Z0X/OsDQRXOji2ogF/RzunPzv+5lXEAHc3AwEwfzcW4YmW/zj4Ot+6wZ OA9N9Pl31YhS7m58VA+ni4q0WtHWMP8O1GcHHELw7/KR9F9l3bl1rph3dheX V+/l8E+DoDwOELgAFWBD6sSVY6rELjrYEwsUmgIh3zXUoVYulTVVQUvkeFrg j6cAEP08wI8+GuhTLSAKfTEbfTgx0A9VQitMHNbhpeUxDsd64vZk8AWCplxZ kjpoenyEn5gu8/KsoGmIe86cNIOm4SlrvULgw3XU7GjwIWg6LgX48Ny71/U7 PtRwEQCfZzdcmHIds8CIqPfAHVuK0qKep+uf+Hetnt4XpOt7fIJpxz0E2T7t Mmza8UHFqdz3+SJ7dE8Q367uZ2ppwDpiXlwNlda7fRTeMg3d/DV3YabFDMNU UJKJVBaBMV14ajUYOjwsNKE7Kw7VmCZCq56Gvbt4KmfOU73uLQ/W8eZr4Ax1 p6aBEL+U/bJ+ht2Ae2u04MkOwniwNlGGuhxZRFOurP4KOxuYljMHLW+c30Xm lG4OlZiSi9+yAxP86wcd7XQMMm1nMtP+RUz7JzHt78S0/90kS0w1036xuEhs G9WBYz0XE5Oem1Mo3l6ULd4gJ65ZOXEvctovkytjRp0qa4nXDqwVr9Jjb9Lz 3lsMs56I5hyrmJYrfmc5cmDaP8G0iSGmXZ6CaT9rg2l21YzuD7RTgKmYBjed rBb0hzauPUo07+nIvTMIZKN35rlqGcQ+oXW6PV4VUVxTGeySCdFt8GnHy93l nB2sEs1bajg7WD9YxqRR+sSrBK+kn/wKOpcVi//bXiy+21ok/veiIl4y/fvN heJ3GwvFF+vlBtOPzi/AHgeO4L1NOo0JaI9Nw0CBLHHNsHwx9pTO3M2//IwK semcYrG5f7E4jx1ATLaJi3n9ajH/hiffDOnNU27oT73fibLVPgaYeapDH37c KNWh7/JtjCd/z1ZnzplEpzln0Q05nvQf0fhxdJqmFYJeXM76Eg9uO8iryl9W GcSXeX25du1ceHYellJh4PcCNbNGHbnoUMOMnoAi15/PKeLIA3ZaIYfocdDT Y6SpDKL06JBDpJt3Jdh0X6MGG7t0nFf0FNBuG9M6t+K+w5YyWPlj+XGBoo3l acIrNwJe8IVag9dHDy0KZNysWWjSYcswQUY4bLrOlJg1yUKWLjPVwz5f3z3s OIUs9GmkQFa4wcLe4X3T7tWF6SEr8CvOTQNZOUnIeuLqY+RiVM0o4tX79x2n +wFf0qFHtQDILKHLUc5O9Ha9XF0RynCpVb3rcpWDXtsNgtH/nWzbEbPntWRb QUirUzDuF4V6NsQcnZkzQclX1DyXmFmo5ztnsv+Rh1hrjtFbdmg5UBVeW4Tv 474argdNm2f1Ps9a89HuDfpoCMYhnQOesa7fpPveS6zxLNI/a15XJVfirany WYagXygj93fiCbdLKP/srWXFYgf63UkKLhlRJz5YmiPeXZwjfrmQWEb+2WvE slfAMvLP9k3ME3PO6CzWEMPgm60dVCsOzckSb9Pz3l2czb7ZxcY/I5at8Vn2 N8WyazXLthWk3QvYsruC/RxxV5lkfaoK0KiMXAqW8R/wno7wzPGKNt/UUY4/ eKEaB756tTPEBKnNH0Frnhv4FlqUyHwLsK2C2da0vhOzDa8uLBV+lcn7bt5c Y5J1Jl6p2XZpsfgXse2fxLa/XVwk/nxhEW88/aqhkHfdfbauQBwmti0b3FVc N7G9+OXyfPHm0jzx+uI8cWghcY6o8PCMIrH23A5cpIqqmm3987jvMWXiL1RR g2oaO+G3Vw1J3TiwkqtULx9aKh29CWpKOP1qQ4FOuU4Dfl6W9POmKj/P8vVU 4g9t/TOzeVeu9PVQqDr3rC56L9RsuWLRZT7GTX0N19jMtQiJBoh5OXKzL9fc HJovd/7y9l8Sbw3Lp+qLOOqJKhuDS4+3bb0p2/8d9gKZlS5QqbKE76jzK4XL GHAJPuLDwctbRksoRkUwXR+IKSOYJyjQ2c0X6QIxJ0VJqZ8Kk0BEhDC5pDQ4 ZuaWlX16WUAMZ+/IaZumgIjxn7jErBxlil56RQCRvoANRHwPdstFCIgF6QEx quCzAUBsmJavVxQoIGYrH+6bJ7qKl272Gx4aL+B29rgfqFS1KOuUu8OrgVQf YRQAY4GWCAuAcb5NBADItSj0uKpZwcumEnGhwpSERUPj/93ROdOnYbJLp2fD qPlmNgnxXR5sbxd7SizGGIlNl3VVdr+/XTYVFqGzzdfLrE9aWDwxBRajKz1b MLNkYVdZnHJNpSzWMH0RJdYoGCtkSVhpuaiM2+QR+opC4ndbpHunQ5aXqfEv cO8+WpEjPlyWw2Nf0Nb+JpA4TyKxaUq+2DGsgjH4/IxMxuI6ev+1uVmMz/cX Z7vgodOTifh5mIj0Jf8RJuKOMBGtnoif+T0RLddIImJYmbinTBIxnKrzp78k p+pCRER+jv6iPUVD8WI1W4dqG7109QeBiZKIzx0BEaPimWpoOdYFo0WUF84v 6sovLu/nQCzzJjo/o5/shrJkIuoMnkXEv19SJP5CHt+fLigU32wqFL8ljw+7 hT5ZU8BljPD4frUin+wd8t2X5InmRXniVaLiQfL+XpibKx6YViRuGNdObBlS KTafWym2DCwRWwaUiHVnFXEvJCjZmIKSpjRmpJyIcwdRsnE4eUXDetN/GuIj /Se4zwqHBglZnpQK9GtjfESGw6FA5NZhldyBc8PY0lBKMBv7H31MOnIJ8Yv+ DPA5JkE4F+h82V94r1FJH3OIbxErRXwUvqUEZpxXcVneJc8T8EK0fCuZlp7y J5fieTeNyjJ+okJggxW/DMcz1aqloKOTLgKzW+mqmGslyLBLSeEvin6Eu16q 5iSCfM4stRTpqgV9wvUqTph76J2gT207nfjCmHJN7JtrzbRh9J03Ft93fhvo 04tn7Zhvgfq1AX37d5aF0Jeh0fd4EH17tg2A7+eaes0Yu4Exjmtq/tHbhOGf bmqw1/vFjQMYC3l8quAkZgbC5ATLTuIRZSdNu7plt+XxgXNq/pkcLhry+FyN tqY6TtHgEOa8dNAGiWO8jTpWom1hFNosHyCNyCV5e03rOya3/FnNC35zfLHf uID6RStq2byq0h/GqUpQNNbeW1ksrhjbgYdwwtP7lGsuJdbes7DGmTjCGia8 AGNNk/PFQ3QQsVw/uJYezxK/Ii/vvSXZ4vrxVWLZgC7iMLi2SnLtj8S1PxPX /gquXZAvHqxvLxpGdPO51lavn4pcwheC5yvuLmu7BCUqG6e41rKvhrmGiCWT C67di9WOrsR9CTERmDcN83pa01szUmFOzsIbkCJr5/t+Lbe259WMmMTWML2H aL68zvh9oB2KNJlyt6Sg3NV0dkVRrpgpJ+OaRTKuSb4f1hs0LysV5/Q+Tny4 Kl+8S5R7e1my74cF788T6Q7MzhXP1OeIp2fmiCdm5Ig7JhSK28YXiA3kw11I 1JvRp0asO7OI576BfNdq8g3xyWcXhe4aksfxUCQC0WmhfENX7B2LEQFwD7FP IwS/QC0Mwy+pFgaAxPKqbHHXeLmGeNWAurCPaOcDXV5xHPP5JxkYRuBLEQj0 GIGYnLPh3Dp0ZZDXGGOP8ZB/2Gf0gEAXBHQ5sJrgvoynZxfxuZs8x2vGVovN wzqgRsbBbPAe9BNYc8GhxHbgU1jJplN9nplOh3QZl2UxzirSTMm4X+2dd0L0 gJljIzw83St44NLhs62Qpx6NpkOe9CHHRpCOvoBNOr3WyJDOj8jiu1adgjKS 2zbuAs50YQTu4gZ38IxeaG9ot2frAEk7evv+vcc5bOjKfr+EXasSpp41Cs2L qEHxsQc1UW5f006rzPKxjhkR6xqYgbLgMtPO4EXNtebN7fEIEuqiTCxoYA6/ wvFPz/f3ssP+Htv6TMR5qiyF7H75m3i+vZeSipl+6R7IeB2T0e6lluUqnS0q RuXzgs4e5lk2TO0uGqZ0lxQwsz+t+OeNyfFP2fxelBT7RKc5vCss5pOFbANP 6eXyu/3E1DN6iPMGdRErBnYRy+gggHnBsDqxeWid2HRundhI2EO5wK3jSsVL s7IYiZeS0b2BriPRh6Dn+4TDB6eVcWFLEg43Shx+p3E4PITD1loRCIctV1dw cU4Ah+Hg58Mpgp+hRF4KHOK1j0vLiP6wtXnkz0eo9tN7I0MOX3USBjGkpn7k sXI78fJuwZJNK/wJh6/l2mq5iZgxWOZjEKWau8MYtMKf24IYRAj0aw6BForH 5lWIyWf25GW0752XL95Zns/b/ODwvRZy+J6bkyv21+eKn8/KEU8SBh+fniMe mZpDXn22eGBStrhpTIGY1q8L13rO6VfDjYhrCYtA49b+uTJsGkLjFYPyeMY3 PubKc/Oiw6Y6dApEwjf0bDTS3yc8w3xTJtMU8g15hwf5fNeMLAUceeOV8Q0x OOdp3jGs6bg/uVqGvgQB0gUdiRkvYF+ILp3xAYnqGU4/HtSpR81JuIiPziCT YWIZPbBzVJWcJi79xLNMuShqbmLcy7Owfxexif5DXTWGnnrXlHbST8wQN47I Enl5eXt69+6t96nCaeHV8dxqn261SmaoO2HjshFoj58XYt62JWfaHIpkXrRf N1/5dQhphv26YyMmqN20acgJInKJX5h2+FY17XLSoR3/YtSijA6OmoB2+J4K gOa59tx3B2/uMeLbTUG+Ee8YfkCglfgD5XRCz2xvCOGNi1Ay/FimhItJxD3W MSsCZrm4LVIVlBpmdglKQSqCubKqUkZNDcZ0PlE2BWYmMazl4To/MHtZV88A zC9QsGZ9Lg6wCzrWdElnnvMZcOladed8cLX8rJp3BWAgM9y5QFcBwHWzFaW8 ISJKuavI6kFXEcrthQFXTm5R7yXunFbNSbsnZrcTj85qJ/ZMrBI3kDt23bgq sUWxa6HuPydOvVKfJQ7SeXhKPrt2uIbCS3Dr/SWoFS/kIpbDKyS7vgqwy+8m GEwAFVsLgt0Eml12N4FK3LVcZbGLE3dl0YPOUoUpbXbdX8NBaK4vep7tjxeq dYmxGu2DimDexDj2WNF8c6eIwa9nBD06i2Ut98oZP7BfMNK8eXcH6dJFtR4o jjXvqJVJyTvKfY6Z4sv/nGMIXO4Y2xE7YcVvVheI91fmc+DySFy6x6bliIen kl0yGWUt2cyxjYMqxd3jssS1I/LFmv6VYt4ZtbKUM0sMOlmOrcH4mkF0UAEz jg6cFsx/I/yp9odsxtrNIxKMNh3rvEvPrAmjLY+3KTLaLM8PaONhcKf04NGx Ic8P41HpNtfg7clw6NPy/phtIe9PRUAfmFog9owrdZE1dMXcs7vQnwgSiGdK RvHbsbwhijhHH3f5qCpxBZ1bJ5SJR6cX6tqaeTk6EIpNJM1YuWUCoQkOhD5M FsOPq7nawlG+HbsjypkLdB2k68wlorsOjoxpx6Tw41CnQs7bwohqy/nnHq39 uGOip72kINu8iJ46olp22lAr9qHGHXRw3BJqS5yBGjlpQajddCI/nKUWzMGJ 0RDgvScaZjlqZU9Sio59tUwLaw3zVUbtts4MomzFNjWFhXlVgNs8K0Rp7Vtn 5On+8EMc+DRL87hRzl9/JN2xhEGZjTC8NQtmfUcszLFFSRyDPY7Znjz7Kolj 0Q4YkjHgF8JT3PJ8T7BJwIQkkwpQrJDkVUVWK3ihVUgpGXbNhI7MrwMLyjkF 9hUaA1bncqHI4Yhw5FMz8sU4+u/6+LR8DkuiEQCzVC4nhjWcW8tFJwhFomDl 4LxCHmD96oJCwzB8jW9DDBtkM8xuDohimPLBmGG7K3kEWashyUdShCQVw9AO x8NTHqhVZZMKYdX2dLqD7RGw5ped/ijgjzff0slx/dD18NDsOtVEeX+t31xO IGvZWxuquwzBzK5J2VvBLzoycAyzpE6CNmC2o3WYTTmrp3h0bgXXXX5oO2bL IhyzeW07ZsMJG5cPKxV7CSl3EdDuGJMlbhudJW4ZlcUzu/cQmX42PFNcPyxT NJJThhjm+rOK2XFDzUufn/SS2woHn9zdA99IW+CwyYaGGruhwUVHAwFyh+pr 2CvhZsU0M8XSs2p5R5Mrlp0NnVhGRMNIvBmnY4UT3bqYesq1oLyeKSa/OBY0 JXjq7Og+PXh0DA7ucwZvVsBN83ilo3TV8AA5aqQm2lXDOWhHM70kdP2ommsf HKO2p0SEztJlUzyqwHL9GC6wTAGon4Smk1mzPJ1jWvG8lrbieR0BnwhKUXwi hzErvRBjIOmoSAXem+rKDBVo/ObRrqLpqtPkttb1IwEoh72yuPK9dJmhqqlQ aXaeLMaemTWZOgpXGaoSP2lTedPOrrGIQpNE0rZzHmxyqDYR0dumikzkUDEv VWxRwwwQs6KermpO1zCTHXvHGqdSNgy4hmReiGQLIkkGAcOEalRbYh96axRr 2tSJ17uCZLwWR5dS3llmrVaIqBkJhBHtxFqQYp+vKxW7iWJXje/IiS4Q5mui GIZcfkbU+Zgo9muiGLyqd4hi8LJ+MS+bgyBPEMVQKom6kUeJYusH1TLF3lko PbEPQxT7YhXmORWJu8jbu2dGtVg7tKuYebZsKRt0ilrNeupxon5AT97E1zi9 E5eAmnaA6/1IIga5NEw6SjRf0l4S/UjKKEOJNUQQ5VZDVSMZ8wOJZlLcQdy8 zP8pXmmvAtDtcUW0PFKnRpuTrzbJXtBhsNa0QxYccbs4Yc3EG5+ujkZaVJkl IS2QajsSpF3WCtI2FYo3V5aK/r2P41YClFv+enX+f+Wj3TyugPvf7p+YLe6d kC3uAdbGZonbQ1i7SWHtRjo3ENquG5opdgzKE9sG5oqlp5eLgcqJW9KvXFwz SK6z2D4gj4d4N6CN4ZxwG0NNUhuDhzWELm8fzOR6TvyZYQLpxoH0J0Rn08BK sYkcyZ3DyK/aObyUXuIrh5eKXSNKxW1j88Vt4/LF7XTIi5NOXLblxGUFSzzp 3DupgOl3/sA6rvR04cp57MZ5xo17jiOWREGP4Yc0XjZHKk0aj64dnGPKPh0Z qMzgQOWs/4nrGhMt4Yp8gfLAZWmSLxYm38oJprVgbqiSUqfZCHfOT1IMEwPG jracNL2QyHLSVigCagfNSrSpD43xh4KA+LT0JdsgYKgRPDMtAsbtylMz9URv 7HXU6C/TCB4iIXcTXHWafCxLBeVk91gIh3RfujyhgZsZoaUNHArUtSZOpnbl SGpsKGLYZiIVFbnshB+oNY5dWfREatfUpeSboKXv3TF3XfUtGCIerGEUkk9H PzYZ8lw7WufLnQ1E2Umliw5kss3z0Xh69IyMJ2XXFhahI+kSQKOFRSCxYVoP DlKy5AOLtoPHNSdWkPJnoSDl7laClNsKxBeExVmEpqsJjX/BWOkNhEVsGCIs whn7+Lwcns8FLP5qESY5FfA4aQQoUSrZTFiEg/cYIXL+WZ3F1aMq+Xkaiy8r LD4ys0zsGIWyngG9e5H1t4aQCCzeN7O92FffXs6VXl8a6JJrWlQrGmd24jHZ jEzMMZvTmX/GlivJZFjdQXZXqI0MadWchIKUaAbBwDYe6nVAvYrBBFuQiwht t9fGmh8SUP6frExZGKxQerDOLK0K5OA0E037QQQTVdN4yw3VnHcTWNliF1n+ /4CJTy2oZDePmbimgOOW/42rd+XIUjH81B5iHzHxPmLi3vHZHLu80+LirRYX 4fJpLl5PXGykc+0Q8s3OqODg5pLTK8Qi4uKi08r5LZe4oLBzUOrCTn/mmR/s 1AO6sbsXeIRfaAU9HRP1HIeoZ2ag3uXBCVmBpF4g6jlZRz0z/KQenVUDarnA s3FUqUzseXbwk+6hPcLTAVAGpxvC5/Man6iCyYbriPSg4iefq8/NxG6IqZ06 deKiQQXIQKtBuoD02qyzTG41wLSun4SmdS0d88MQ5eJcTxL2D1dZ/iGuaf8Q u2ttOqL5AJ/ToqOuQ1HdBvMiGsZv2r060QYd5eIMbsIXql/DHpWiBrPtASB3 LKxmIMItVEAEJGV1Sqba4KO7qW0eZkhOkCOVaYZm2hRUyJG+IX6y4H6GbIWn V2t0253f3804LLGhtzE44iuU1CuKIJ+nyAeHD5lETCST7YEqcOWPQAnFMRlx HiNuVATiKgPxS3h/WPbGdQXkqbTcUs3ldbzw9IpaVVJp4c32/MIFJOnELxXe dPHI4fNLZJcA4e0b4G1NLntpnwBvy3NU41w2j6XU9SMomWxWiEMcc8HZncXd k0pl3HKJ9BZfni/xhgY8dB1cPqaDjF1u8AebfLKmhNsEmubUtN4mQD8PNkMA cTINP/i042DUqBUKSXhLw/MD3uCLSbxVabw5rt0roPOwNuFkx6XdhSJzulnB MLi0kcKlR460i+ZJ7CWVnbSCvQct7CFNp3ct3mml6dJxBVU3+b95Slix+I6w 99eLZNfdH1WPAVbLPTG/gjvvPrawB3cQVZiBDjxC3yttuIPLB9SJZf3rOMpp u4MafXeE0WdFOzX64BbWn1YrZp1WI64hpF1FiLtyYEJceHYe73cacJKf6wMG Z9JZTygMl7PcMCQ4/hOdgMAhIqRq0y/n/u6UuT8XHCQRUCS0o6T0UhIL6TFT +emTkB4jFjqSho8oGt4xPl/MPKMzd8/fSe8rItJzyYmkzxN2I3/OnYIERN+J BBR1xYsMpdJtZrAwtD6bQ8g/qHIb6P8KVLv3f0E+N03yhUemhMmnR6a8c8MI p2fr+bvzFfzCrefkRSbBb/WEH4XhZ02VnhfutJPtBhlpwS/WV1Xu6GbFYp+J upFDjBs3Tuxae6p4/57j2E2MWbxrurSrz7sH68wiP1xjOXiR6z0U+bIt8oFy /kKFuCEfD8akt7iaZ/CXiMZfkeKcNQfTrFqw2cdr/WLBnJ5nI3e9nPBRP/bY 0JSUlD6e6wMwN8UcxOgEXsMM8kmJfE53jnomDfmy+ZeqDiXcLRfBP108CfYg h4ZaRuTUsJ8ANY5frM7lNT9ob4OrBq7dO6VUTDith7hmdCWiny58PKdGPDFd pvP2Ti5lz06n7baOqGP0rRjUhXH69Vq5/gCY1X3jkV1ydjeBTt/pwKdM4dH/ ycZ5XZwqMw+GZ6GEA5+teXgq8Cl3W3Qw3XJtenjcYtle44+7PTmE8Yr8k0WK mQ002UMqPb6JgShoq96eHQENTIau9Idj3htK6t2WRhTUbja30beV0HdxFPoq Dfo+UpHQD1Yqr4+joXniDXh9i6XXh0ErLyqv79nZ0ut7aqb0+kb26SF2kden K1a013fPuCD+blf4u2VUEH83DpMJv/GndhbLz6wQuwljjD9C2i5C4E5C4BUD EmL16cUSgyd2l0XAsSAN+5JULD29wikWDWcXi0sH5olLB+UZv3COqu1Ejacu hLk15BvqYph77DaIeCBlCNdw33hd65nhj0Sjs0uNQ1t+DtnZREP60EcnW+2A 3BKIDwURPT+sOg2Ug4sYYyY+o+tjAlTMYCreOK5U7BheieJLMXjwYEj2T33K mb4DeesVz5gx48d0vWbu3Ll6FlYEDbNsGvJJ3YcQ9AE3z+kbTUIVJIUP2DO0 KcH2AdcrDN655myTI1TTV9THWRiUGxZsDO5ccXbQB4yuzoylxcKoXoSsqAlt Opmo+xR4DUD7bBU7tamo4j8OEzMzCY3tJRqzfTQmTMIQVMLuWo1Duu/4s8Q8 NbKS84Poy5M7DGplSDQven9QVsReIq70jEeFQzP4W9BOIUx9VZ2Xhl/o6p6r KngBrTiGYGLLbdXsGLIzuLPOdwpNr1270LZ17RgeQdyTHK6WzaXcY4fU278w 5pnI9NfNEopc1EJQRFHLp6qoBQ7eC3MKuTATo3OfmVXAjQO/IMcQzuFTior7 yWn8QDUSLB/YRW4rIypuG1nHkMXnjaLig7MjeuzsiZcA+7XBwpamVXU84jq8 ZZ2nVS7pGu0YhgpbWu5tL4e63V+jqFjlpwTj4ZQgZ/t8xzDBODyBezX1imUg UbqDNX5lbxIPo1zB8ACWcAS0MlC1ya4g1g7dUZ46M5hqAMtlshkPA8b+oYaw YHA0Ws73L6pkJq4c0g0r5uin7d8b/URoyjuHvHq5RYcrPzBIuZMY16+nmH9O V7F+SAeeyLKGzvYRKOMtE9eOKWMgXjWqTDw0OTvgD8JliYRiRAUMQqKDCVcN /UtE4xCERCUUr/ah6IKK9N98y1l5YtXpRWIqsbG/ZmNCTO7dXkw+pUacc2J3 IFOM6d2JA6qDT8aApEEnG4iiTJQuignEXzoyyehxknH12RXi/HOQeNw6uMQp QGe8uG5EXrgZIoKQmewyLju7lomIdKMrNg/GANwLBldy6SgOl9jMPL0zXdZe ozpcZePhO+TKG7m0Ms6T184fWCem/jCu+ccbWmVlzAwp5BDtgyTU/4aYu5wt 9F6m26M1HjNTojARQKGp4Fw6FHWSznwrDWdNW0mOgP4oiX7hChnMit4YcgIx bkVXyCTRL5gftPf1RdHPr+KUcd226Me/vvxk589mntrG18HRrQt3V0j0ZarG dJP+l9jL9JvUZbIQNjOLwgvtffpZjmFM1mKSnOAQfngXbJ4BXiyiIIavZUVE Qcn1y43YJJRlgJdhgBeKuzbf0pndAYddQY29cCFMSp/Qgt/CNqKiBL4V3fyO K6uiE4m/5strk5N+kVHREqseJjX86vv3ZDfs3xiNSQD6G++SVfAj1+1LO+lH XuGLcwt53DMA+PbCbB57KQGIib75XBsDjxFjw9BBh0jonglVYiuBD/BriYKf ajD/LFVXgoZf2C28USb9eDSotSXProdpXNqVf2+tuYUtexX8sAbPGqJiuYXc ZF6tXnzmmSZgyDV0VSjhEEIcLY93iNprrMEo/cTuqf3EVOHRpE6GoJ9oMoO8 ji+Ci6nGsBAXWy4sF82rq0TT/FqxYeRRYlb/oz3MlSYHCpOlgcQnyU38fH2B +CSUHOQoKbmKB+aXiP3zSsTd08rFVeOqxcahHcQGOuuIiHMxvnl03x5OV86D wVLAQQMckIAcIXoblpxdx8v91g+sFDuGkIk2It+AMaqGBj6crqHRYNxtgREB U3iMOwdIr/Hy/glxwVm5TEdg8FRyGaecgldvxWlFTr6Yc2q5mNS7RkwlVCLH iFLTa1T7fH3fGh4nioYKjBRFLc4K8lDPO7PC5c4Kj93JiQTOiX0wnGnIT4mq p53QK44UI8nKsN7dxbBTuut6HJd+4s4khqg7xe4mlOPgAIwuqnFc+JD0cSjI QTGOSjDK/KKnPcikiCqiqXfO6Hh47NixDdDok6RSB7oXpknKtZszZ85XqnP9 FTqXkMC/qu5/Tu/j8Vb4mGH4GOpumB/dpd6aY9jDcgztECkcwwsYjbFA6cwt K/uk4RNaVTP6e8K+Xc4L0rdL37abnjvY2sDuPSE02lsVuAHiAIvFgfaxKDQ+ UOearva4KZjppIYY6mEWXmALQ4ZhZYa1WU/PnSZsZRtWxlW+JomV7DDGozOG BWa3UMLESrP8xE9GuDbHEjZu3dI9EFz2flMn1x8z7dndyI4b9BQxdxguwf6q NpOITRd2DiQRZZ1MsAM90ASRVvlosR9EVbhs2UIiNFX6iS0bShmX31+Yz8k8 IIxrZNbKGhlEPXUQFf4fmvHun1rKI8TeWoCwDkHT+bF4emYB4xI77/CcSwiZ TTPK2M8EKrcrXCIwiwQlvoY9j8XsXt8QrJFhvNtRVMtfbNlZzvv/0MwXxGVw 5ljzzlo2QYKNEBKZ/x9v7wEnV3WliT+/96qqW1IrdUvd6qRWt1I3CGGChQEF BLIklIUQQgEUQCKJaBCIoCbnIJLcJAE2OQjTtvHYYDnHXu/s7sz8ZydY4xm7 ZnZmZyf6P8met+c799z77rt1KzTyb/X7vVJXrq6u+r4TvvOd4pvtPFiXpctW 47aTtWb5vp59gFxURDE/ao/kU/QTHgklmgRFQvnFlynznxn8sZKFkLUnkXZR 9XfKFFUdB8/B27qT/gt7SxNJcXQp7p/ETp6D13XxumG4jYdwZw0+zUZ02MMA wvzJ9a3Jz/dNzEhqwJof7Z7EkxPasdpXYP0D6S/q8XbXz0xLa56lfBLWKVpa o/PJa5ZMZtrcSvS5Zm6vUXvi/wvO6EmuWNSZ3LeiKUOdoM07z250ZDYpdaLX SPQJGlpWIKRw6ZOok64j8iTKJPoEeSa3nTUque3MUUyfS+Yoaj33tG4etweV LuN+5XG8ovChsxtCNCjpM2CZ0dBDPk+nY5xNhY5qR7cqZQpfK3h4JbBR7rRY yp00AS1R7/gVPG6NlhU8j+04JTl7/kko8wHY53iqhEKqD4uE5Et05OQ6/P8V Idb7rM07HlLNHfnfP/9iyThGrYxq7WnodUqt2NGgS613O+MYuC57v4odxxJa zblyG+VXOjxaLaS0istsWgXNlnhhf4up5lsuow690J2ryKhRRUYNpfaqGZW1 DC/3cEEL/0Ogw/Q62tCraE9RWR3cP52tYsxuB2dJ7XhPPzI0HDvSHZjne93G HtZqbF5X1XRCitsNSjKthwwrZ6RBZJMsHvmjVvp4ZYj2q0qlg3y0/6JeLspm SPa95mxBlnJSEK2qyVXoVLoT8+LpiZkHY3qGHFCTLNY19Kt8UXcq7UnD+yTX RLcSQlMQLaYJMa/x0cVjeOeZXuuAAi6I+c/Kkazj8oLn36cXztokmynKpmod XknxWDMXZIfubpeirKPWcdqVxc+3qSCG3medlxbfEJJ9u90x96yg2PlBe0nH Mh30MVQrGWnAH7Wgm29jIsJqJVufcsdXrrVT08ymIxnkeKiTDWOG7u9MBvdO Sfq3zFTaprUUnhyb9G+amQx+tisZ6m/nhUe16ldBeH8jZqEgW3Qzfy5zHbaG 1ZCtdDTLCXpuWjE5uXH5ZBb0fMWZwUcB9x2riPvsuaM5X72SGGj16b38WiCs ueysTh5FBNnChPR5R9yjCRe5pUW6yRPLJG8V0oXQB0S6LZuzJvuIcO//TJ5J 9zoi4AuIeOeePEsVchu4G4qb4/8d85Q+6LbPjE/2LR7P2iCQru0E9zwTMFFv MMpohEraonQgnlhIvx6IVyq/qjVaSN62i7/n29xbJy3SyG6RimaoLqMZAv/u vWhVcv3SzqR51Cf6U67NDHpsVZf9uXDq8SjmiiX3JylpTYQ7vDyrLsuhqXfk C8/ezCIZPfzh8qxn7LESz9554UmZou6ZzLMRF3XpJz53hlPo3b0qbXNW4V5n EORyv9qnAu12SGpq+4qqSm7B3YSrncu5jawaoHV415OtS0ao4JuO4qHJZsZr 6PnuesO7sUhdb54pPxGg8FRknWW/bfZPvNwTixhIGFbbm0kSm7fWQIjgR5y3 46wd21enNJUQrIDgyHTkMTK5KxqpUQVutbyTg8oJrOLW67IJbJkkVrtrMe5n 5h+bnTUSWRXs0INqoTsbjFZqeFrcyjOF27qNCpadaO4enVEBuTXfH+9WSlbw KyQ+UMP+vubX3WrwA9wKXoVaCEMhR4RbX9zcyk5shltvLnWhAbeWrPeza74e KRBz6ybh1jI133JqWK6rY+70deHWt9q96yQcOVD5LDa0s1jJYEGxvIFSstgN jjq2o0wWa0mDPmorLw3KbBFMy76YBUIWyzMxC49nI5v+C3qZW4tPtarSr/Ym HY5U6D4lFfr21a2cyUIqhN1LxduUG7c7IKJrwBgS0cOT/9WSDP3AkgytX9DL 2ezXRDL0ZSLY9+EJUIZgtXIWw5QwvQEDXb6ok2urwUil4zmzM5PQqnqwWoeh FUTEsfTXI5alDFNzLJLT9af3mMTWx7EPEMcyz9LPxLGq+xtMTuadPIvrxFcs aOb7rT9N/RmQ6HJ7lf5Hsovdw9AgoV5cspbDEuSCbJ9c1cC2BbYwl/cRWxkv EW4QptY8sZvqKqYd4c10QZfIdDfOjo9IJnuyh10vVMQwYdu2bbj8H+j4hCGR +BMJZXdCvKgQq7wt0rkac20Op3J7PMvf7blshRYP1cCx7rLd3gqN01OkOgw+ RT4L+RDluBEsTUMwLF2H2yLPxbHj7ONC/BDiUnWDHNuforysDywxPFUeWEty pRury84WP6epeFmO1uuF+z977vH6rSzwWxUdtt/6CkStrsp1Sc3hiJA083yT eqt5PuWeXU1MykStsREjjRBlTlZ19F3xiEz5We/qddZjyD57rvEO3DqTk2Sn yCzWOhCD6IYY+xJ8MMV2mONLm8z0SYbUeQOVToBzpUXmH3V4ydryAy8pnZck wmFtrVlQxcANkv6+2ubMYzo0/Y4zrPK60uLYGwyZtjw0XbxP0l9sfNozKUvT 9yhtkG7Nog78v61a85DQNOYq/0hEu5qqv7VzTHLVUlVfRi1ap79ImzHoMnTl WNYl+Wl6tJ+mbV1ShVrzwKU9ma283plMW7XrbDHEHCxLiWB8VLLjwk2Dc24a 7NC0SndNrZkOWNKrVq3wOCosF/nT33JqpZLlGE6xmWi6+CJ9hK6ZrsZ2t/Ym Qw9PTlVL3J31DLLoDm0V9RLT9IOpovfxzd3J/k3diqbFQ/UXNRaddR48xHlw Q/J9KTzDYu05oumsz4EqPJfLhW2q1jOeT68dzX9O5MPgam1GB4XvroWdGVGT xdchE/YITouvWtjCtOrWoS26DrmP28RsDdYGe7P4DlcTU+Nn/A9mx89Ii8H+ N501Lrln8Sh2hBXhcLIhFUfxpuSgniVRK0UWJR3eNNE/swMLlOkzR9RN6Sx7 Di1p4UXKOG6h49azW3jI9OFVjWHyyKpGSrIfXdWYPLpaHY/RcfvyFu7/XrXq +OQmyoDhP7SZcvp8Po8s+KSUZc1Mi+Lp6GS6DGT8e8y86rLfl8uQDUtl1T/7 8kdf72dyAk3Van3g0vPMCs3bk8GiITN1xNwMqgXphmBiumzz4hOSDYtOStad hcvoNExWn/lp6H/OOC1ZumAuHyvPOiPEDygWnaZuMAK35XvqY+uS45nhwfaa 0InIP+VpHxN5fxwej/it+en7e/nNG1Et0a63+wM6sdZW8eYv2SwRWFdXF8+W oqSdzxJ36CHuXLkydpBdbkX/89LHnKTYLCpWBW0eVEdmbCuJeZuVeLVaC6fE Sk/l3WMNgUclqTnP+GgWT72NpJRtTdt4Uu7I2uPIGx0u7dP5dhCV8y9nDld1 7GsMiQ99rkvl2NdP93sNuQT+dimB23VseO+ggcrGA7t6kuJDEw2BoxUIEren TUHgEBZDW4Vmsa+O/eC5amTmR5ePTf7kGqWxem9bUzJw/qRk80JVSQSBI8e2 69cg8P9y5TieMh02gZtmsYzcuOLiZxt56pRJ3BB4Lbl2qrFCwMR59hvEgHum qzVilXPt1AE2ozBWEzdM4Fq3hwp2Hgyuyti36L2g6hP4+Z6Pl2o7ZeziF9qN DB0rQKDC02Xsgaumq2mcMk3jEh4fKMPjj5aqkHcsPib5FqXcf6vXQVaoZ//P MvVs3UCGZ9HgjnFsj+pO6eiatuby92rg8gOUeoPu9NDq46sbkj2LW5JLicNX OLyOwdV9lO86+XdyC+XBIHKjzbII/ZGleSZ0aLOYrYmh11FODSZfKjn5ZQua FdG3M5njYlyNNBwl8vXSb9ak/sSyfPIkHbwBRSwi9GzsszIbq9PxO5eO5/AE vyJ0XHs+05LcSIewO5N7CG4nTEMF4oIFPcmFOM7oicVoadsZPcnl6xcmm9cs ZlUX2HzDLM60F9BxQsrCZjZHGHwhnQcnfB9UIgz+A+GJBTt27KjI4L/546dA TkxQ5dZA/uDg9poZ3G0Wn2Al2BaBK/7OM3+DiYmTk7VLFoGqk4s3rAuTK7du CpM9l+4Ik/5rLifgfuCma5Mnbt+Lg87RaYiL1LWjcEPcwxznLV/CzI8oQBO9 RfAhXtqJNbSxQe9Y+SULmz/lcY2gvPwKvG9VC+d1dmHcnpTVefokdZ90acm3 2PvWpnI041L5s9pj4rB46F/Rxe3p2MPiUZbFddqjWTx1FfwxV9I7R3gcAXUK b1G/usz2KBQOx8+h5P3K/LY9Mjm4rjGAujH6JJma3j0RpRh8mK/Q1K1GQIpv dijKAH1QHqjngkrK5MOgbrsFzaYKO3tExbOCgWZwd6dlETiGW9Ba5+Urk//u VeOIurt40vVLF03gbctoQ4OqtyxUuq5vXzKGz8OU3S6PQx/206tqo+7BXR1q JshH3XYL+kDagh68XmaCoG1zy+RuG/qQlX9LqZype92xXP/QxhFYlaYaPF3I v4Pygq/6tFT+o3bTh+bxoH0qAkSRvC6bfwc3Mn1z7YjC1toHhrL0XXyV3q2L +pyVJeW70JyCuwO1to0SC6Wtarmmb48F/L/dPz752a0ToJdO/l42ev21uOZ+ nIo5LAfRkn55y8TkvDN6jQbsQ7FX+kCq5i6FH6pSOT/jlOOM78TLju/EYysa kuuJ75CSI9vVdI5EGCXs24i6b6UDGq77z24w7WotsbZpHLk5yuJb7QHdiUzT Dy3O83H7olGG2XH5DQvHJXfQZfhZt63Plko62tdwQ7Sdnj6Xuj2F4PJAMTny c+Tp++m3sQrs9Pl8cS3kZkpOVsAyF7rsC+tg8uTKyrQD/p4dq5JnNneZtjYC mWMnhkjGg09W5/IfWtn494TLFyHfq5XLd1lcjtJxqduErJvcvVBzeaVe9PFM lqMMjaOsTQzOpApyBX+DcMHhxN9MyETNk5ivRzJ7a27etHq54WY38UbE8Mka WtxeXs65hha82/qyKuQsYrIjesc2/qlFpFmBXou6rCuwhNn1hp3rhZ2HDqYV 5IIpjpfScexIxiKGL+Z18c9VnDzC0nNJORuGBvtm1qdeFpEyLmQfC6mCO1wc ulys7e01F+cr5tSRrvUTopoFHJnWtU8WdqXhZPAx6uGph4XUa32ta9vAyeVk d1bX0l4XH5ioUukd3ZxOwxJX2+MihR26tqW0Js7WvaO4Jn7DinTeFnVxOFK8 v30Cp89oY39HOBmp9J9atXDIyVBPByf/pZGE+Tm5eEsTvx7FyZ7WtWdcqfho M5cNSjhZ18TfnOivi0tKXXxFOBnxkGNIj7ld/sildXFwsppaitOyuOpeazsn zcgcAP4En1Ah5OBik06b7nXZdNrPyVi/g08LGu5Q6ZcM8tpDS+/4hpY8nGx3 r3VZ3O1ge5zsv39da7JjyTEZi0N0sT9ueRxp9WPr25LLlkxlqdg3xfvp61aJ 3Jdag5ffLcPL4GTbD8rl5efXgqmeW1MXqNY2yuWao8HPGEkCJz+9QkrmsUvN PBocEjnn6Ut+F1Ez5oMp0xYJdzvT9OVE1w8vySsOnpdm3PgZqTV+RnZ+I933 JjpU57xbZN3KeAO1c3S8rz2zhTvekJc9srwh2UXhA17q9YtakGorlVlTtvlt Sb0/L9u3v3Buqjo7uKEpufKije52mmT9sXFCcA5Onq3QPTPnJJQ8R+j3p1Z6 /VMpkJ82nPR6Z62ULOk1kVyl1vVxzJMjSihZp9SgYnAtOJeouIepuN5QsaZh MDdo2Kbg463mtR4lPvzQslrZd+dCw76X1sa+2jyKGZjZl8eIW+XaQKu2v9ke jDCcW+fh3LxeASOOwumCanHHEJLTYuw6w7Q5j50+/a8F1XaJeoQZIR4jZGuU sKrLXNKBpgyaL60TpyiLZ00CnBph8PZhoxNT/q+UQlVk26uT4lsdvPWDxUpv tJeyrc6CKwnF9GCwzbYvZ9m2+PBEZMHcdUYBW9lFjS2xi8KUEUzqb1kzLdnx mb5kOx3bFuHoZbZEFvznNygWBZuiQA12BeN+12Lbn1nZLwRmvysZMARn5dj2 18K2GFTG66m1Aw225Umnx5tLO9BuFuwpYkPszmyLrn+5FZyadbNFbJUE15Uk wXqX+eDj00SJmMl/I+MnNXDrTMmkrylbvuYNMQ+oDTFYc4dGR6U2tDHOeNcz 81RLG9ouX2s5tilhK77VqrGLiGu/e01r8g93E9+KwdTRlrE3UP77EuXBvlWf v7Nd5cKVOBcGVG8L52KkePXcXq8JlfbbOLg29dyAGZWWlIHIwL07hczAu8iN QXrIh59aXnCJl/6W+88uEBQ8xmXuPCiYSXS+IlPFv8rHCpz8CPHvnYsMP3Me rCvhOA/efYweYj891ON0OH3rEPveQrywIDLpO3FvoMaTJzD/osyN43FKkCuR 75PndyU3bF/lTYzPPZZr2luB7LPKs+40GYT6Xxbr/qWw7nQkzbWy7sUe1s2a TcVuUVvznNONVoRbZzZea7JdveBEQ7aU9/Y5RIvDznc10RJnC4dnu8v0rC7R Oou6cfbmixdokr2kCscq7/68ln7pLFeXH9r46tgmWRwpzxZUE5noNKhTiPLd 9HCs+8OsIExTrnYF1ks7UWv+oWZbkKMUh3Mu29K5trQhXGcTrU/iVWd20ERZ XjWzTW28Tq6NERF5LBOrKSq3qqIyFoMSYutlkFik5vObqlhXdjVdmlG/0JS1 23iuMRm8rpO96Qcu6rEMGMdmW8JOXfmfb28wJoyPru9iRgQzgiH/Qlj1z4RV UUPGclAwKteTndz1d68el2ylDx3+r4VR+fXYjOrODz+dZVSWXt/VVtoSLpfD WrVlZtRzhFHLrKOxtV3ErKLtGuHTdjGlDn2hW4uuQaQNaQZbMBksN4V1m0Rl sDJNv4O/A8X3Jqs1OOtlgOHZKRWbwpUmiU1VuVJTuGxVudStWGexzKpLiVWv bTW2jeWqyyXOxRWqy9jZ8KWLxrEm23UxZmbdkWVW7Gwrx6wYvcXw0+tl7B1t c38Pu9LfhPg1GMkZ7fncPO4wWS02mIJhbXZ9Yhkquelk8k1nqao0ur6U3tLj IbmNmGXXq8GpQKW/heRRoti7RDk2X6RguA39TLehpDYYm+ylx9Gd4yeX5/m5 7bIzJqhgAoLXKBTLhpIbVe1ZLWONuJGMhjLOhTADocvgnnvZ8uOxr4fOXbAA cprdizqT80/tSBobG4/k83mAeHCMVCpt+a+IssN9+/b9g+SzbXS9iKybKY2F xdWv6Ijnz59fK7deVNXSuIRbfWqvG9afwGnnsRbBghF1RgvWBMFuXbcaBPtJ JtgCklpDrrgJbqoz2FlCrEiMLdmWS6wIBCxitbNX+p12VSHWKerdO2xZ/oNc 2yWqCfS80zcZOr7ZXp+lVPpNWZJF6SsjSqnpfy7LpvXCpmBSllWrOacfdOi0 Uts8sunVV7ry7vZsnZ1OkG4u56maUnV/1uSpzKM5X35an8lP7X3Kev1kSqXX J8W3pQSMlZRvdpRSably8LsVysElVhwyQbtxBpstoBzMVGQ5V9kt2sRp0YLq /r/Pjmff/UeITlESRov1l3vUxLBNp88TlV67bGpJYorb/zeh0v9WA5WiPWsm hCu1aB1Pf1g3MpXqcnAtCao1MWycrOwdpR/5pdLFL3aKIf8Um07FxSoWcd4s LbQa7WSnFyku/aHq0NrV4EyBZu/M7JI3n8Dqg9rmhFENLj7TdvQdWsfq8Yef beUM9VfG7lF1au2qcK1OHXaWCgdIWCJjgFhnqVwZvljxqakO18CncPB4eHVT JbvkEIQajKlEqUxFeg4Ku+WupcwPiwSU8hkOlpwvEqOGbPQR80TUPUsauI67 fX6HylxV1noXpZnbrY0D21UqSg9CyWjQyHyqlVd3022RnuLnZc6Ggh0LsKxn PHMphp71YjvN9zs5VX1mVSEYzeqsZ1en6qzn12QHpq7ftjJ5/LzJbtoaomBM AImZqb6J4UGLSz0DTtEh4dE9PIejLrtRLnsel5W36ciy6I4aFwO4sqsZDpWC 4zT/HeNQKbjxvDOPMzor8CYlqCczldaZXBVX2Xkq7koPcYywqZZKlWHTTJoa 2WwaVKPS7vQq817LGBOPJR28cRzzaGx4lMeFuVAKM3/hTPl/hG9sWGRPL/Xw OV6dE1vG/YY3v9wVp/XgbGmXL2uQfeAZYZOQp8ObscObscubStZUbzJQ+Mtr U0Fdyx16pgtICMj92iR0VWup67prcFxlk9VFBW3uXHFMaviYWQMwtkSYbHdR 4WL1h9ePT17b1sbUCZNGH3Ui43x+Uyu7GkPNpLLPkXwb1HH/+zXjkj0rpiZf 3zWxIm2CtlFbHrhwSraL6pprOF1UI0rWXdRhZKG8YmhHbzL05OSyuwEMdX4r K1Auvt/JPmZ6LwB/1ibrjRXG9XGUkSSHabHjYrNFUFVP1GYc3hZcq7Lpqw5v lumiVh8uGmYXVYaMfi3qpqcu6GazDeSgUDjZ1d1Kpht6g47KQxvMFp3+NV3s D8mLVWWJ3HcuUXkoKrwud2rR8pdd7hThMnaJPyK7xDV3vm5xp+qu1oE/A0Wg o7wECv0QVFCaPNHCxCDxg8sbQjAogY5wKO9pRWqKnXT3LVWCqB2ylvxeYtIn lmkDrZjTVFAjUtTtKPwi38xxA1X7Y0kzFZnt2XliwHuWjKKHGaWYc36H8c9a Lo3Wa+hpkYla7AlBlCLQyEwap75acfLY+snJZ4k4hUSVJqq09Lvr5JzuqQa9 QnalU0f1p9Jlv6Hj3wjsr6D/j73kkkuup59/DbNlOn/CcAh0+2+BQMFhdne1 jymvkCFQsCLYESxJeWhwmiSiYE+InmzmlO088jhKzWTvJUh10zXx584q/Nmj zmT6qMKfSk/82ATmz1yWP0PPAh58RLFqgM0q6sWY/3vtbLGcFwMOi0nTPXQy OaS9jz/fUy8K3x+pMclWhrVCpm4rG831soIglyXQvFEGVyJQ1RWdr7prWFS2 S2l/wKBmLvfrk7KJZ8lYT5W53HLsuV/pc9AVLV2iU8qevyH2dMd60Bl9bEMX a5FsBv2FeEIiyXxB2NNNOP9KdUHpa0ppK0Vy/+smYc/bvOwZgj6D3rSEW809 45nxSha8CbJgayy3xrzTS55fnZQt41YZ0S0Odirr7Je72RhUPM3UbjkZ8JEj JVIzjaY/bMSdZhxddUdlxHu2f82Oz6eqhg5p6YDPb6dDCi69eOkxrEpCPffN nZ3J3jXTUXdc3Eff1W2L+5Kz586WhQM4je21AzhiXjqgunso4dJB7+4iOp2Q LPr0cWytsfMzU5M9yycnNyybnBxYPyF56twJXtoEZXIJd1N9OdqERJZOJ2nq 5FKuW87VZpJ2s9SmTswAPbCsgQXEPF07t4eJTPPohtPVjsOIvTki44GV8meO M9Mrz2ix00rx4cjxZZSxJnsXqbKtut+TXCQGJ4ObKe1UOW8wgpu2C+T5tZ8z yBNlXGwcun3JeDR7Q6bOXHLHpjnJHZvneNTEijlfordBs+faPm6MMnPOEOi2 HQ63qsuuInj/taSZeiUBmPQ6zZK1sua23wJr2lt4wHa9ZVhz/dKFzJCY1plv sealmzdkyreaNXsraICHwZoXV2HNqepMpjOaZc0mppa8Yc0CuzAXuP3jLCnQ OiRw2HfaRxjitJwxLJUv06jxYBbLDNmZqtbk8NK6H2qFh3REg2a/TCmWm+ql P0bOm9LocPJQwDEmN5CLctn2rQ6Viw50SR76qdIS7nCmbFx9EeVlyM9Y6frM +MpM6p2yaUj+6IbxzKQo48KUEWwKNvxLk4uqvPPg5tbks8Skbg6KvJPYVxHp yVkD5X2pgbJOQ7GF1SzdqSQvcpqh/CvC4OJjpKID105T4yl6S2vJIvKybGrt IyiYZRQ40DNQwzbtqekjq4wsP6q8MarSht0qAlTu3MHKYQ/c/D9pjVp0WrwL GwraksErOpN962Yky+fNZgxHSfeWtdO5pAuhr26R2ulp0U5PPQte7fSUGDb5 2q7xZghHW1dxeiqlXSz4uWk5e0SGcGWmb79ZZ0DHjrOmYv8r/bHWzusNrG6p h2pfO8/QrWLbMV62ZRdJYlmfNMliW3rKzyEJPLCyAP0K0S4oF4ehW+moohL7 1HIhScWa9Zxo6t0M+g7nET+rPevjhaFxt3pvGVdzqvApxuy0h0bMzc+Ni0/W Phq8WijEnC19nO8+e3zyxKoGNsB6ZGkhWdNnxmaDaSkbmlkb5bWc6yO430uX Py39u+Mg5h1RI3turSrmHT57zqyQc2r2PNNiT7v5aeecvR75LjFnGeKsJN/d UYVAp6dxirm6TUiVTg73dcUgUW5/tqUsGskuA4dFwzQltVS9nKBqRsXcTDsb VUTCqEhDedSAnafMQE3sMmo+lR0JTYq+qFEYFaimC8GEcgX7pjIrC+Fue8GZ i8n5mqHqN8Z1h9tY8YmclCu7b/M4zoetWH0mszFKhelpiPo8o3wNUYdNYTcB NkXVM7vKp3xD1J1Z/WNiU6h2Ud39W82mexVT/vLGtLKr2dTJSel3ZC59lLj0 +Ipciicu3iqDMTaX1uA1kXLp8DNTxaXTsrt93MxUCYzwt2xlu/C20jmZAuek mk2HPt9diU1lLku8pAJV6N2sPnomMvx4I6wVi71Wk9SMzLzRXHOTtPhQSzJ4 bVfSv2EGD1nxYNX82ekaA2LVX94+Mfnx9a2cpP6LGEBqVkWz9P9YrDqchumb 25qTjQv7su4UVsPUZtbDO0eq4q+4Vby+ZWzy2uaxyd2r6UN69uTkuqWTk3Ow EY436GCxTj03TSFC0puDHlzVxI1Ti1olkx2d4dZVxKl3L2usKPsVbg2ZXEcZ kyptbIGmKkgSjIrEcr6lCr5l8fgQXJkT2kQiigIxqrwhp6T1fB4Eq6u7y6zq 7gNEqkSwdM8DPNazU57DrvTq2Vdkk3csHc8SXxzQI8k2okAJkvIsSNKeVbNm zcLa2IM6g+JZjWtqJM4Lj4o4lbuxNQrj40yIcm3OXMycmfdyJt1neHTp0woR VW6vwpQz0qvMSKkob8GUaqRUGRswdbAOV+0pyLFTsrP3J+A1BeIojKYQ5LkF w5M5w5M8x9mhFbiKIi2TJ2a7W2eONJ6MThLJk6EF4JTdLLUskI2NQ3aIlatr QpZxmnlaDsja2gFio9SViYUgAzep1ufg/T3AYMWXWzM2yOBNWCEPf8LFFhA1 ZeyZhsOXSAFBX7oTilqu5kt4PaAGW1LLvUFZHMP7wWSeMjPKtV86XrmwLblx 5VS+bzXK5OkW7PGxi7m+NQMHtIBooppu2d+ceizWmoK+1xyCMyE403aLlTNQ xZoNXsOmgVtm8OcE1AlVLlPnF7oNbeqlUZo2Y9OGl614ofQStD2ymueaZTMn f7rag3PLl3bd7XjefDRb3k3eamE/RtMqtdiz+ERrMrhnStK/eSbvI2CWpAgF ejSw59Ct7WXbpclDqrwLmZG2T/4np2Vq5EZGvjuG5buV8tI713Yld9DB8t0r G0ry0moM6rZPkZzesRI75l7cMIbA5NG1TbxA6OrFncnWhT1gU1NbxWYd7DSA 4ZEsEhImHclMuur0mck9yxtrlPhGxKZq6cAznKkqSoVPFGjNrhODVpeLCYWm V5hPPLWiEEvWinRUrgrUZXFy/9I03+WdttA61SkXZjrQLsWz4H88MhPpKmmZ xskj51J4sXWlbpuqrmnOSI9KC8AxF38vPsm0S0UCkxmGubpGUr3AItVH9q4d NqkefmgZkyrqrI/sOl2Rap71PkhONaGi8UmEuszhU933FPHRTOFTzMho62N6 ApdPZXrU5lMMtWAXAfHptip8OlOd0Q1P7i9L5rkg0JMsh8XkLzLpZyQGiWBU yA71/gGcN/tnI1uXa5Eq+JSZFQJZI8JVLdAsod4yk1m3AdikE0nwJqsg6dwY D5fqKm4uXYYXcc+Lce37PBVajUtVHTeXIVKu4d40Q+ZEY7cjGgK/gxM594Fh McYXa26MOmSKBXEDlynTYmPOUK2c62mMfnd3c7Js7nHJ/yQyhQwok4Ba0iJN pr+4IW2G/jU3Q+nWwanJ7107Ljn79OOYWH3L8JhM73HUuOU6o46siMl0xTEs n/o4Oejg7d3cGS3ZL+vLQd2arpuIEp9KWdcybGBhrmJVm1EjYVRtaszOSh90 pcqj0DIDwSeaDhl92e73QxxOjddtmTp13sFbunkFAVYRMH/SJ6l/y0zm1aG7 Oiq3Tn28+vB4CpNSXoVPoi1F+juLV//a4lUtSSqXmW46s48z0xLfRMlMv2fJ eV1u/cjDrZSVJk+sayqRJvkKvw+tagoxMxOMT1cGYV/fgh5sNiBa7U3uXdHI ierLnparm6g+t7pOMWzMolmwLLYNLJhznCLZukze+iCRrEOw3BuNJNu8SERM RLgBl3gJjZCLIifdmd4vyIya0u0VqXNSevsmmOprAa8l4qWbw/yhLmP+oLYf 1CWre81caVfKDYeHy6RbrLU4cDAGkxI1zfFbJs30T4rOEP60k1KtvCX+XGXx J4ZGwZ9wQQJ/EuXO8MyuvHzD/Cr8+fq95xj+/On7e7dW4U/RZmVanz7+jAx/ 5kRAVHw3pU5W7h/iZFT3RhV5MkZ8RyZFUvKMxGh453nHsUUvCFQIEwQKCMMM gVbmZklTt0P1lIvZbVcwA5+hLF0ZeimlzcjQZuRvfkYOaSIeAHEW3+moTJon ZCq2kLjAP27oicmKNCv1QC01EUgTrnsDl061XP5rI027avvkximcgWIqFKoi zkI9iqKXtqglO1b2GTFfzmG+hD0D/rf58v+3+PI3wpeQ4Q5e2lG9/yn2ChBI YTpn6M429WsOMwHFclmeXrEN/30ZqJ8zjfEgJloGbp7BlBnquMoiTVRvZaKF c89Cypklm/AyhHmxmW/hbFYZbX/MEq5DmFZjtHiwLRnc182EyXsOLuxl0hx6 oHN4hsI+7a7MvAztaWXShAvSv96fJc1yTVJdzq3UKAVpvrW9OZ0ndRLSEuLc VZk4183vTZ48t8mr6RXixLKbjfVBSp66c4rl8DefPYkT01WKRQO1FKjAS3Sw cMCTnGLL3VriSyJP5auUB3+yvwOmOW9fOl6nqTGT50hDmiC/nU5mip/RUsX5 i7njeWBloV41YR9a1hCM4F3xuJc2VdTGTWiHrjjzVP6Zu6QwachlTBok5aQH NXLdOHl4aSE5fXKkN9Eqa4DseMtVNTLlZmFKLG8FU4J8Pnhi45xKc58lTDnd w5R63JNSy3OYKXM86ulUbYMZ1lBKBZp0yrb0CpObd8xjZ3565RdWocm+LE3y TaL0MjNfO0EeAtTZv3U0U2dsqFMJiFLmXC/M+e5kbofmpR3KWecL3QovxFMw 5U5WQk5m2uT6A1FocbArGAXOHFtuA17pcEudSS/zQo96vEAZFVbdts4zOFad dtHxatAzTvfgKLJUQqGT09amp71ptpheO60msvSvxClDlmVKtn+2tzF5isjy yY1dXFo1ZHmLsuj9K0s09PKWNrORTrJLlHbp7SBqpW93Ncb8D2FMIupAaW89 iiHbPsHqcmJLwOBnO1VZ+vnGVDVUY5YJ33lex+447Ntr2dMhlknqr1jnHQFV c1UzUp+igsest13vTVTJJvvs85oHLj512bvu9GbFH2t5uFZ9SxbLteH3J7vs qao5FKNXVuiWppyZdTrbepOhRyanUy9ohLpqXc2glVbr2AzqTI0ObO1JPkfH f1gM+qt7xmVkRuUaorYjg516fmd3I8uLynkL1sqiurT7xpaxzKCvbhprJL7v l0k/396ombSxhElfE39g5KJ7l07SG/a4vKs7hmiWglFh+X9X2jRFQrcWHIpc FB7CGD29Y2kjc+qzKi8tOJXfiHk1Yv9e8Oq+xVDnYvwzNtwq9krq4ojtBHFz LI3P8ekIFhfLQ3K6i7tBxPvk2sZk946NnH7esXS8ItZI2zOIHwOChXrj0YB1 Ppct7KCjM7mRfsEtnxqXNI3g7bO2u6wZgamVYDe5BEu05RCstU7WJVgxVbAJ Vvsp6N4o5Z/nVijlErFO9w9+queKbI4NTpGX9YOD222CvaAKwR7Lp/lMX5T+ 6dxd1tsoNe6jTfz1z8kpM5BYsOB/olNrviWSbBQaI2W3xuwmtJrOtdBdQKlc CCYSlIXoTIQdo0w+6nBrwdIYWYto00S0ztoBi4elpwhCL7dWKt2ydEmVbj8u wdqKXJAsELCSInfnqmO4hGv8iSyP3fI90WwZ9+dEsBct7uOMFBOiyEj/7rZs GVdnpA+d25Vcv2Jqpg9KRAqCJZptSH6fiBX90I8unVhCsD+8qjl5b2d7ctva abxuHY6DKo5fMW82fUHRH4WsCF7A8ATGSlunJwpS3tUDjyn8nsNMS4sHW/n9 LL7UNpy0lFmMmVZYtvhepywrSjukZmI0slk20KZ/9obieis5xbIlURb9hC0q O6ydSbtNhmotOhxeSdfh1+Ln27mInVl1Y5V1M9Mwul2KDNUnOCo3YVrGmWHn 2cckP7mhlTkWK3D+xW2bWhz7NxbHFi2O/fleNXH6M8lU37u4Odl8Vl9G0mtn qsPiWeLYNy8Ym5z16eNKJlBLeDbLtcbnl7iW/pTEtGiQEcdecEZP8sDKJgiT QlYm1SVPr23gci/odQsx0arTUtoldgqx3pbuDfkvqr/7Vzbg4ijNYHPCtgVz PKNId1VBc60mSGWygNNCxuYfP+sJGLotPSSYOsdzpNq/9xE1P0qPptujIdd0 R3GiCsv9uyhpxeKcS5lLO5hXV8lSndbWVr1ztv0oKHVjJUr1b2if4efVaWUS VyywISI9XxJXXeJF9Rc3eWTX6UENpCor5QypYp+cRapbqpCq+CpmmqMs0mrx 0Glo02naL8T5IG2csh0gr1Fr5xwVgy4FQ6cFqaw6TKrN7w3c8J4aVQUenQ6O Zv0BY49+l64vmLyVuTUnD41n4pl45Ueo1cP+ra14JjEoMrQapgqjXKowSidF casPJgXHlGVVbVU09KiSsA9cNc2wavFzk3jhOqes97RXZ9UKdd6/uLkxuZhY 9Wc3NrL7XzZ1VampKHTpNT+0vot+22zKSvwbMrk28rgpaPW1rW3J3lXKoBcv Hoa9eBJQ6hd3EbgLrXL+bHVGi3c1JUM3TQKt0tOsmD87hMwl6OD1dpyUDzNh NVz6Yls2Yf2yJ2H18mnMfFo81MFcOnRwip4frbLiVREnNxl+ws5XmcXsSGcj H5lemtoZ2YQ6zHIvFs/A6H7nObOYRAfv7Ckp+WoyhfYoMw/jqndf/viEWrxr IodK2jbQJtRy/dKMDskp/erE9drl05JnNreXtT/SpPpDh1S/kyHVkUyqHwmp nktJ69ekBPyBkOqXHFIVWyT6OxOtUoTkIdbkmXWjWaMkSSzdlmiVIF1bPsBC Xit+X14n1kl12OdmVtHqFBA/Y5XdQdSGKaVlegXVqf4qT4PmJZl9eHkDEyaI klmWslFcBpIFWSLVtMlVrbrtQG1Z5cN5Ljez4eH55yePEq9KjxTPWoi5R5o3 PdK0T8qF7BDNUnpenaDiX2vKnmZGplZGPf+3zKi5kkyV2DTYInRqq3clRQ2m HTWdbq5Cp8fxaWzvTsf7pPa1FQyZ+gg0zsqPNIsOPd+t26SKRa1FrRaLAsde 7NbetbyinBebSrE2MmTaBDKNxF7XsgfkwzcIw0QKP0FVW9bPrD2UJDsN0/Zo 3iSm2vEUTgtZ/ozsFmmgeqSnpFlphcw0nW5JM1PkDcynxJ/9F8zk0q9t91dV YOQp/35u8xSmuCM3NbIIiLPT2xoyIiPdL314fRdY1GSluP4PrhufHL6smf2O blo5Ldm+qC+EwihoYhZ9a0db8r0rm7nyCy2Trv7+Ui9+sVn0obFe54XiAxPg XhhCXBT0cMsUml09VIdIAh3jsrkpuPSF1qR/20xumaY72pqzuamWGVVom2Ju SfUkpgxjZ3ooDMqmWcqWQRWEhWn18EvOw6p2DRjBotHhuTVgfOragjWGU4tv UOhxg1KNY5Hb0FNdlbW8wqneaRhvEdiyQLILwT77QLFvGLqxlZNUvW8dVkj/ cl9t7VRbg2QXg/+UOHULJahIVFOL3jRRzfAqcWqGVy/18iq9oTcun0xv+tfF vtfDq3QbYtZgpM2tnLC+s6mUW8Gpb3DiSsxKeKQnaWw7JYtbQ5ArPTQ6rU+s bkjuXt5oONaeOkE6CI6lTDbwkKxyK4rklDNSIk3wJSe19ARgzc/KeIubvYJk dV+VGDVIqTRizW7EyfOL6mAFr2HSNb3ptClTAmdateqNNtTIn1vm1MqfbhsV TkUXetJR3Uctw5/2vA1zKDE4cWiZMu+mKhQq+3V0z5TfFsWfOeT0PP5i8yba UG2x4U2MiMCCfi8srhgIVItUkWdBXABhwmDxZp1eJqrqr0yZmu2+Bw9cnhjV BmvWcrZgLACokPGN5zT24BRh7bZKFduh57qkYhvZFVtcpmu2sVuzDQHMQV/N 5IgEsziQJpdMlLpsq8nR7o2WK91KkolxkgEixwN0gL30SMs/SulWJ5lSvg3B jkR6/+OacZxKbpf0EWJb4kTmRvyM6/5Wqrb/JFXbf/WQI1LM4m1NIV5LMLV8 Z1T0RIPXdvJUBaz93GSz+EQLvyMcLniSzeLzQo6PdZYsSzMEmU02Ed1MQpnV 2eKCz0LxUKfHYiF2+ZHpMUpHQvVG8gwzamURM2POx4yXZMZDs+yYrd4W3+5M Bu+farapgRwrdUgzCadFkIO3Ohtfaqng+rRGHn8jPTqq/Y3+nQjSFukOt1uK Su4Pr2pkz6Nyvrvax75mkqTEE8ZIz54/wXgKeklSEaXiyTrDkS5Pwp53zdze kCu7OdNDtbwcAlXYjYgm6zRN0mV0GqkslHiQYA9+B+imerLRAOYIqN3BWOmF Naz0pc+ZOr1kobr983x5ASXgQp2UZNeAK2FgCIa8flUfs6FmSRHtzsHWbhgd XipDoqjYorj8+MoGpkV6XuilXlJHoFkSvgwzJ6j9p1KFzEy61Jpvnid8if3k R8eXU618U3PmxmULON/cYeWbtjoX7gpTa+RLegVl+JJe+8YqfPnJ9Crzlsjb hkBDyXO/oXZgt43IkmVekkyGB0o0cS50LP9SsmTGOtjNHUnNmHxPCBiJMUfh dAy3M2Nlv3aL+rQRrXp5cmTGCwG5Az/F81NSotzrtDZLc8ivWTlkyGXYE7IJ 5DB4EgzACSRxpbZIAFcyZ17Sw648zJM1FGMxbjmwZQonkjytIuZD/yRWfjqR 1MJbeMnD2BbmuCDE/Ru6YpBpMN/kkLj53zv8+G/Cj5Ar/fKWRi7DDl3XkiaQ Prt4y3AI9vfGS+nZxrLdTR0+oE6tM0hNkKVbvitIiEwGmWaRzJBwvDjU4Q6s CEvmSyZWREgUpXlkgVuasvzMlRHhEcow5eUpUwpbigjAlGbtcg3cOYaemVLZ UKEcW/5WyrMetnTSSaSSUOYathRtEZdp77HNFmrvez5/QUdy7YppzJbYpeba GTFjXlU7Yx7aNo6tBO1ybTnG1H3QL5r0Ml9Cm4+uEbqE9KjglR5p2ozK0SbB 1o1LWrg3inEYU8mtZw6FhQM41OXRTSrbFIWS4lLQ4J1LGwPkhSr7zCsORcU1 ZqO/jasX88O8gIv3r2igF30DtzQ7+UAOa+W1ojiuVxIieRWQEN1Dr+pJyoXF yQgpUjBR4N+eaqmVNddXZ00IYyuxpgx32qyJiyyxbnCxlWXiMmwhBUOiSjsM 1iT+9hVqDx3YdX4V1jwhDSzcvd0Z1oxwOhKsmTOTLbGHNWNbnQshkUWYvApN rxs1hKm6kE0AnViGC9SMyyzmTTMd8FI3F19HGu5k/o3stBKZBbAJzFmlY6m9 bVXXMmDCVG3L44fNmMVnWpOB3dKyvK8jY9GnM0uwJugFa0AHLu5Rghp3TEVK r2BMpHdI9fSoiraOt0dVdPkVjKlTSWLLHLPl6ezqh4tctsS4qC636vEUEDTG U9ymZcYbwUopDVuKWzynlC+U71+CLVcspF//qqlJ8Tliy60zufubHJqYppQ+ PZC35qoME1BNZ7Z8F2zZqqZV8llJUFp2DbnmGrlWQ5o0Y7MxVFLKguHJ2NHb Nij+lTam5kptvoXPPGr9Eq3Rq+zkwis+fey4XG56pWRLS2npFXyJP3T10qsn s3RLr085fLm/kQ2KbCf6fy+nE7prbGqv0F+5rXnBor7k5qVNyZWnY65izbG5 MDm5I6Kv4cn03T1JjpV9uWRFXw5KmTn5YGJy8afyya1nFZJbziwkT64C7dQn j9Nxz8qm5DxKLZFifsMmzB1ZwvwKEaaHNF3O3EbYvG/5JJVqbqxXnJlPOXND hjO52ak4MzacicEXOuxs8yVVmz1HTcE8LlnnpWeWcJnFaYo3teJITc3QacxU Ws8p6Qtr0wM3+uy2VckNlHHiQVDgzeHSSPJJPCu4mpiRHok4klh1iyUOwrPD kyifz2+1mDIz1XJljUy5znJSAFvu2XmWZsvgKOjSLcoSRQaXMF3GZgQU15u7 fBymxEQomPLg/RdsqMKUJ6bBhPGL12k5mHLr4hHMlDFOR2WZMvQwZU4VaD1M +UJ37DQ4I5b2czj+Xa7gfrd9rKh5oL619EORtDlxVuejY4Vb/Vof3ywn53kZ 8sTNzECnbFZR7crIblcGqip7XMqdNfInptc527Qtbl8S/tRTK1r+87nxvPhT e6pBqDqwrTttXRKBoXeIMul/iOEQm8ffroSw8Eh4Q1JJTKLgcaDsOXxZc4x0 NGQCncsEqu1xNYH+SgjULcmWJVAz35n1RACBYoEpJlY45XzOSjlfbHS2lUnT UmqyIE/WFkL8c7C1ZKV2bSTqEGhm5tNh0e9XYFGxlLfcEfDShl7pqStLoAu8 BIpGOv9FIV57aFrtfgnDLM8i2cysbrHLs+USzkrlWWscdGA7RXfbetKVokSi z68fmdy6qD7ZcmI+2UzHphPyYXL6lJjexc6xIaxsEoWpdBJCGcFrtLjsFwJY cgv0Tzwrx9eyHDE8wpDNJy0NnwiT2ZOigJLJaYSPx+f4uPb0fHLfkkLy/Dn1 Ng9mPOnhR/Ruti8pgyu5jHFuqvnRXEgfk1fXqwYlnBT2Lm3RtBgbOqTXxra6 UtvMgRPps6JZUPJHldTFJqkDYd59dmOBmTCX7L5oY/LAmkl8a4yMvMgTMPRI OSmVwhBeMlU693k+ndvFe7D4X9NR0Ns5Dr0hGcSE5MehNyKoHk8NVWt2Lhd6 23PpDlNDvf2COZre9EKU2sqnDr2dV4XeTlJntGKHVU1Cb2qd2J5xTG95Q2+s b4nY4iDiQU3mJ81sAIRDaShMpFZvSA1ynlROj4D6u6omavGZWqHYnRM+kyET PtcgpkIV+ExpV2PTYBx8sEdRWf+uPvwK2amQjEeBqp1GUjvl+ilQ8cstQUfK Zl5GU7Z5SG8gxEG6w0VCe4W1rEDxMRqLcaSOWrx7AjPawNZumZ2KmNFWzJ0N MQ5dRqfqigILUZdRnnfTqmlcIQWloXgKEgvRR2RSC05M/tDLZw2cW2ZKqMRn 7+/q4BIqpLTMae70pZMUQoPDfPag8JkvKXzZSgpfTfuMxWcmMafh3RvcN4Xf OTUeMa1cGVWkUiMynMZbUzWfZUcyQ1bj5OxZkexiTu42omGpUkNzwHtWm+iJ 6DUoyKxmaQl1pGE2XfbXC8h0esjDyorZREY+6+jYzUkP4bSHBmTN5VQ3PXTK qUduH5cc3j06ObhpVNLV1QW2Ae0oGgpiMNJW6wgXKBQJrH/sJ67aWONxr8Py GEx9zaM+kUykY1ZLmJzZEycbZueS00+YmTx2TlNa2ixVzahuYGSnaUo8w+xE V0A5g9GPm8+eJO3BmE7rTN72BfCTJqmYczZlLwcKQj3xJQg/KYWiv/aN0jTU 6Vu2caiSKxRFke7t39CVXE+ZGX7GfbCHuk49GJFUjGdTBBXz7q+dJ+e0EqZR uMce0qiVo9Y6i0luvWyRnuIPKvX5pntWS2uRaE+FsuVuq2yJ8Q1bXNrzMdhK vTqwFcyDZJd0cG4VyvqU+iDSm1MypPEN9ki1iYoHM9qVjHQ9ttlYaZkmKQo7 VQGTN07XGQ2LJVT/DhIvLmDa63gt6YxNbGNsKUzG7jyzhisqU7CErvX+nqR/ Z5/Ou0KHpeK0w6dqliGAEsuqNEFpVx3H2xUkhSB44MqpJd6uTFLu1EU5UYyU Lou3K29VToFkppFTrztVuqQbfv+QimPoF31sQ1fA5MR0JEeEGwQnM1tBIfrN y5r9bGWVMH9xSyNzo2Eru+FnO+xIBla8fwI7cw/tazU7u2rKwOitgoaIy5cP d6gMVpp+GMMAYzFzuRtHVOMvMFImYqziW+16camaxohswgpqZKy8YSztks6N PjanY5WMqGbEVKACcdFjZ+rulqE6Gt8S3FnEFdnEpaRasGooV9scrF7bNL3A YdY2j9w7Ljlyz7jk4AWjkq2nFJIF0xhVAQcHBV1PYaxgXooXCFn1y/WcdRH3 Az0mCh8d20w5SXeUnDcrTtbTcfuZhaT/TKgayxAPXYZxfowavnaenoyIJUGq 00cE4lE9NqYBk7UoSWfMRTrMJcrlOWamXEblqWlFxX/5ZMWKFckl5y7UlzM1 EeHw/Qt4khBPSs/36NmFpHcCp5LB+JRZzABDrWyzpoIfeaWMqFa2ufqckzJV v6vKSDFf27t4OGxjSn/+xR3rqrCNimmia3XkgnMFlbrPssMdWYeS6aj5/G/G 2Zz1SBM3CUZka4f0x9XMgPzK0NSD0+oNS+U9yz8K9oBhZm38zbAtL+GpkbIn RNppbkVQt/wpri5ppxFF3dfDkjlppw27KFiGoTATyCkUwa13k2Q1hnKaa8U7 xP17X5OZDwR1gEL+1ZFvalkKtJgU0BVwQTCXiWv/+XyRkWf+c5mmGhiJJZq3 Nvlrgk4OVbyPMr6LupPBazqtfR1VcqhX1NvCjHQhMdJDHaU7sKQuCNcgsBL7 wZWRoxTfbOe/JPIoEW1ynNSqcmpny2TsDjUwK3FpEEM3+6cpi141Wf9j4wdn 81Hs4aMgJxM4Kn/isvaXJisnCKbDdh2ImaFaHUVZlUJpt3UeXbXwrdqrhUce HJ8c3NGQbD2tLlkwI8e1OVU52SoMFCwqQ0H9moK4GEg8NGHkJ5JjJobJucfG fFx2Sj7ZR/wDvllDHPPgqiYr2VFMk3OZBplOEJk8h35Eq2rLgh4t81hXN1I4 5/rtq5LNS07W8/BcjNNVB21FQ5fTnegh6LKblrTw/PzTa5AdKW55hXKqeVJx G3cU3LK6ArecYhmS3bT1VM0rbqHtytWz00JbbIpskFact3zJdVJjs3WKdJMa eARPd9OFnwZxfNpx4BYOOacmConnWxTyKzryf8O36bVZRB4l020K08sMs8h7 jUdWq6MeaWINfVtKJboWBig3O10fnBqa8h2TySh7kxQWGyt7DSVO1OpHi0f4 pqOETHjEDrdXRi3fVSPufjKxlIxRlkxUCBnxcidmlKwwI7KFGYHKdOqypTiH R4rP02MSkQSTU99tm0bc0Tit/teqRlejQZg9sLWbK3FMIzIiZ5Kdu3Syk9Fq 0EslxqCX//f7TJJDbwidhqCT4DS+8B+FTMo1mLxkYmsanRQHZIImGZNJtRTH KsqhZJkhk7cn2hstLG2j4nHt4eoSiiETSnOsKQAhlDKboSKbT5SPizSbYPne f0WfajbFHi4JDZek7SZEel+2JjmVnCiw1noWzPi5as1OsVtOgRqZq6tWmMNH cVIwoWptDiGNbe1y5LGm5PDNY5P+NSOTBTNzuraWIY11KqbskvOaL3QdjWEE fIHaXN/EkEkjTG5bCF26lsjrgyfK1uOoU9UwS8ewF3q/BT0xztRZ+cmz65uS Ky/aqAiDHvMpSkTAB/dSMoLrcR4/EycIP8RMMrAyE6GBbu7gIvSJriCauQKS iftWNNKz7PpUzgj2xig0y8jca2WOVSLYc5jj0x7S+OmBNWW6M90VujPX+7sz NTAH1jlUZo61VZhjimKOb8qf/PuByjNUXyvOWFIHMk7XmDKDWpX0EcOwMEM9 p/B5M56sprCmcI5B5JDzkAOsQwjjuTerZsnsKTJQhvI8nDlOWIRvTReblETM UKxOTXkrafFZKeEHexqMiWLdrJQiYle7FwKn8ERpswaPeqg5mKYZQtXB2IHk 41CETFBbQ2LSuEmnqO+zaOIuf00MacXj52MIjs7FGLAOU4KYpwhiX/mODYxO 9q2dlhW8P+jUwBzh+8CObiYJ7TZdNuNw6mBMEBcIQWhrr7edjMMzIVZ8VXlr Fl9r5z9e8Q2bIEpHqY2kL+eT9AXsGYfrfthOIM8r7tWmXb3kXq9BgqYPgngZ rE4pgu9sLbDkFdJcXMtsfs5nHEoMTXBcpfqh/tYNPpGtWJVpi/uqaBOOPD0h +Qz2/yyfkCzoy+siVr9mg+0SAVpMINWrvGECHPOnRMk6yhzOARncekbBbtcT +psDLXuC5RzIoE4i+Sfpo3gDZQRf4DRBXQboBkPgXF6VsF5hmfiBNQ3JgbUN gHI8WAgryzBZfTq8vgX+j0yYMAEvePRRYPvKGrF9+6cA6GWml3zYrhsaewTb tWsy1vcQJfR4hGUv3zBfPwHxiMH21+89pwy2r6kJ23Mw6fpzwffvBtIPUibJ sTZS1keTB9vrDLZH4qXsYHskVVtWSD/HkQ5g+ZucIADis/sIxFY50GJu4D4Q XXa3Nwqg23t/QlGsfRvFpG+jhuUN/enJvaG/JSrLcf1o6IDge6YNP6tyG/5d 1YofuFrqR8+2ZpH9FQ+yV2nHA9lh38SuiED2hwRi7x/jryXdntaSNLIXgOzB XPbOeHO7spAqB+s67v+Fb46JYX1M7bBuK7SfL19MKh6YxCK8oQc7Ms4Y7kL1 ciIzwDv+VsXXBdYp/he1tox2x/6mfGTrzBT6hhL+A9exukLWVgiyZxr0ebVx HWUmNSUslwepTUbgLGD8UldoFl+EJUuJVWTDowQwNQ21f2ppj541CK1o8vlk 3GWQ/siBCUn/+lE6zlcIqIpC0dZSWI9dWA+B6fR6CNSTraeM456Dcoqo425D XYED+4gh/KmNXYzTCq0jFX0v6uRb1CnMp3uEyWt8D0oftmpoGiUAYxesawXr FbWB9Z4Nx9tgrfepict9t2NtBECWXTDBTU4/wO4+d3sQ23qW2hB7dRXEFvj9 BJ08S8fzOFfg0/rLg+w/bHv9U0H1P5LzxvqeHjrRYbsg/QLcdsHsgvqgfYg4 /aO2OhEWDz4w1Qb0vOC8AXS1DLXeandzx+5bLJnSYuMsumvPX2tXatBccjuJ 1TEmK/b8sW0LqKOh1sgXq0e2c0Ogazmwm+G6ganl9FXsCRRfaGNM50idx1R/ e5hevLNJhcoPWrjuLewwVocA9AjInWNQH43zyd7V0ziUB6DbhRy3K2ABesjm DceV4rnVGBi8mnKiDdNrwPNsPad4oIXxnCVoKH69WbpQLVvP8QmHWzjH4tnl nb2u61H5tnVkh+sK07mu3242f3Oorqs7sUFyZI0YXt0/jUE8ly4uzdlb//QS 08BB8tAILtRnXe3J1T00j5I4ZCAfXVN74MgzE5KDu8ckC47lwBwovTcoB9w5 rHs24E3QCvAOFHrHjN6PLy8AtXEwcAtmP02YjXOhXAa8pniaz42Uywivk9fO 44MeDKcRHt7IXQW9M3LX3fyqAOYFD2YvtzDb2ob5aWsUf3iYbSuG0MOdy5gd MWbTT3zuNE9f14fjelUJPZ2N43gxwHEiFBfHZSMml4Tq1G/La0gy70gWzKOg tK/7no3kqvqew6TMj+R2f03HHAvQM9V6fZkF6DxEoSA9FEjHeJiG9f5dfTw8 kpNAXRfszWaUUVKV+VabcsUr2AMlmXXXBNsoSEogLlg++NBUvY3kW9JgjjP+ dMp4r7QkH6u8Vju8ivooTF14cknxFdmckbZ28eX8YjMkIQLjWMSkw3KzD/No YFxq84NXdvIcCMO4duh50AnP73FavbcrGC8ArymG+6MbxjOK4/iHff7ertbG /tLefXk/tpQAxo//eDD+bGMplDtl+Z2rLBj3LZquAcoH7+lmUxv8EQf2TFf9 layBXdlWb5guMYkMgEtTVnd8SwLzguVph03UZt4y4OJLUvyKCGtvmxnpfegV kHyiMSEw0Y6N5FrHXaXTe+S5icnWhfU6+sZ38071Ne2Ss1v5q85AHtlCVfpd CcgpGQaUn6NKK8mGUzsYswnKI4HhB1Y2Mlzj3GicxsnrfMWln8od1lAioWVG 6rlbXVY1ul5mIbW1bfG3h9QnApVD/BiyEVrMiy+Az7gFHREqJHTxovnzuVYi R4jr6DFxS9wDDVaUyhGxn2zN7Wn1jqm2pyCPV1gG5On30r+ivbaRQH5llWDd wuEz5AjyfBodY+O7unkOZfUvyh/9H+k43XqMTJ1dLsMHRs3+fch54odteSm1 Gz8p7Zbx7BQIzL/RpuVz+BRLXBLw6sjR+IDXSdUEyK93LXPFkS7lYvx4/lGp VlFSAY7n9OnhtIqeKbX4IvMwC+V4dGfyvfiFNrOoIFs+n85oDtMTIPpRobkj 2ME0X//66QpBHxlbU2D+p3sakycocHp8Y1cdoJu+ejAWfULWVZWrr/zGXWSs Q/IpFbU6Q7e0JjuXHZPF8mcqlFkEz4tPtyT9F8xIhu7vKL/nOG2z4p1+vxkV ZGm1ajwfuH560n9xb0a7M/RMlzItu3FGpd3HCtAjcVzDzk/eG0WYTugbGTiP rNIKILvOhvFUbSoBOV0eaylpe1QWwnOpxbeGcfpGqB7rqIo91iMvYBFmQ9I1 MdILax9hTAZqq5y5P7D0nEdOPfVUqyIu0Xcyp2cMnDYjQuT6BoblXPL6hjrW 1eDYt7BwxIJnu6NWMzyf7VnxZxUaysAzmoQAv8tXzkrhWbUUrRHoT1qbh1Co BsICUQHABMZhMm/uWXSvOacuSU789LLk+FNW4IiSY+esootnn7ou6T3pbJzD EeI6+srjlqee/hk+6P7Jwnln8APigfEEoIQTKsO33rqLworVWq0E3zvmMXwf fuXqFVXge5qCZZx7VWD5/wRSNJ+Y/qHMXSWcx2eBvmyjGZbrBJyByPiCaESm 84hGpGzuIDKbnYwRXNXFDuCqeBgG/MWKpdgCIOYQWivRJLTmATT6Xg4+0JPi cFS+5J3aPtsl786SkrdeTATVOcfV16i4euiRjt8eGj8xLuR1BaNSMH7YAWOE 1/eMzlS/f7anMQT0FhBAU2j9JxRav31RKRrbKhftQwJwLw2tT/LD8f5UOsnO FU/XAsdpeF18iuB4ywxl2WLDcaWmphNeo+o98NnpDMm+Mevi2+1GPus2NkPx CzdayoFbZugVzJEjqCwJr7m7GUmRRIMzyiYSU3O9vCONrMvD8jgpEraZPg3n CWVm0o681JwcvHZssuA4UwRhED7AX7u6DGYGlsZx5MiRRmrPOkcVT0cGnM89 Ng4YisPkTVbTP7WizpgE16foaxSFtSLyUr+R09EjMgW5sxkYRzEiI9YFQCIs BogCUAGuwNsT5p2fzFm0I5m77Ipkyfn9YbJy6wP0K56z84nk/N3P46C/Ip2G uIiuoKuThWtvwEFvFN2Trgaca7DGcyDaDgHRxws6I+iGLkWk8VXQGRmBB51t 08VDB3Ytr4LO0/k0ztHJtwSd36WjOb2HUSoKMCu9+0P0Nfy6xMsA5rcUMOsI hs5DC/9RW0HKJBQpqO/QN7iENwYIW5AOpi7vmUBZf4wXHa/6m6Px6a6TTifH 2hrOdbisUdrMX8VZmK5UAUH18CsVbBatWjYMdNniYOHxCJtDwEzQUxmrfR4Y ttRdNIrFeyck/edN5+g5A9ZVWpVYjYMBYgD0P9/eQNEFQTOB9p/uSUHbWwsR 0P7Pe0ezLLEUtEcOB7Rxn4HxwczUfrFMTSQD2tYMcUl5uwJwo1Y1eHe3gHZ5 fwzE0UPPdYkZZ5cHuENgdmRalmkAHRvJu3HH+EBtzEF5u/iVrigVKcbKx/EH 5iiP1aMzWI1Pr4lYLKw+8vlmeo8a7CrHswKMdsWBC6MqhGaPCYPVcj8XrEOI 0sNkwZRImVWYf1JQzig7akXnxR53hQeuXsTuCiUQff4JLkTfeeFJye5Vs7Ak zMY7QDQCVULHWYyOI0ogGrEu4NSB5okMxiMZmuksozAQHOirQ2SExyIc4fB4 liMpdwAYWhPQSDkApt/MAmDHtmFZFQCeoQB4dpDKyeMUgDPrzEoBWAzW8el8 MwPABVOnzklkjBo1Qmac48vGqqYfZmmjVDirhgMzM604NxGnBauVjofDc2nQ ZbyNgbdx2fJEZOOs9AyP8+q/eRSTAmJdnoDCT+lAJmaF4CVA65kpcpR+Qzer 5B+rvLJAW77o/G8aaBf3MbD+6vbREdA0QkWCwJYi5izYeiR+shKbwXbw0g5t NiRge6zfoMECW7xmmA4Np2iBrSmDe7uUMZMNtt4itB9wUULideUUJVsacdUa rvMuUtE2uGpAOtWJFN/v5JXahLlBWpOOPMjraEFCwWA9Hov/KU62ho5KMDjM qgAtDI5sDBZ9SJ4jiJu2Tk0O3jAuWTDbxMYvpN9DEwg1GtwNFyjgtIBXg+TH AtPPuGBKGKKtajS+YPSxAphetboSmB7LSFfHYIpw0wVSAdFOBtF6BlEAKPAV pQcNohpAUV4+1lJVL5k7h1XVFnjSa6kEnkBKQkwXPOF/QOB5dm0jnVjm9ft0 /AzncuqyfxRA7cY5sRfIlH9j/iviUZWwMW9wtfgmfTv3CJbumcEQy+XhkVzq UmPT+LwA+EbiXMEv2Ct46sRjpUSsOnUcO7/Tke7QUhDORTULTvGcOnzVgoyw rM3N7LL6Oo2rEr+qYIswAFJgdvfUbgIfA1sxkg/tGuPU3ROypqh2Cfi+0hLw Oxe1J8vmHgeMpd+BkDOHOJXyMoDu23TlkwSs/1yl7EAPHAJVQ4bVhtKtU86Q jQdUJYqtKx22yZYeQqzawJ/eXbZhVx6yQaw0U0eYYU5gKgLZMsOcIS/giDyj N3VK449esLhRFL/YKdL9Gabd5wtqWazhKOzg1rvfmKaq6+g2Gl0rRbg+dA1T V4xccuS1FnRW7Dg2eMl87Xo80ForUC5ygNL2S6kBKDFDAqD87LpPukApwyJ9 FlDaUSfQD0B56pJdAMppDJQFk+8j0rTye5YmH+MZO7EAEuK42gESvxR+UQHI pbUNLELo9tcCiKeaa+Nj5KJ/BfwFssophUl+wCj9i5jKTYO6Ox78cF9nrIGy zgBlvQAlAk500GSg9yMIIIxqwgLKkZayWURwwXjZ8PANpUwjNoKXigZJHnGG BeJbHfz0aJ+ocfZSuIydODRfLt8PWfXQl4HL/m29DJnG79LUZlUoqn2j7U0L JePt9tDJ51K4NPn+/nHZ9X1lOmY6739605TkljXTIkBhDCwMFCoCLd/JoGWp gu0/U7QMLLgcVdNMooLLCYDLkPGy3gpDy+b8gYLLgpl39+T8+Hi8MxG1TE/e D7jkyRPAZXVz6UB/YEzBVvpoGjexfJ6bAF/stAQSaqxQ+7QE3rA0Nn5iXAZg lxYtcIvTHhvEbdxO+6GJbm2psgOXdM8jr7fAqV03x15RX7pMMbZbXZZRQF1R I1yeVcZeCkPZGWTZvZCXnlkjEtqAozJc9lpwiSwa2Ld40TITVwIbKZjsFbjU cSWu0jGlhsu+SnAZGbgkCA9mWnMiQHkPVkJQht/20VvWLalpjKP+fgHFv6Bj faAEv6vo+BO5/GXcSi1kz2fqo0BD+YONSQEy6WrWaARs/Lox4lXyYHxKP2zL CV5KT5XPFXAau3gJqHt2CqsQYgFN1EJF/IWoh+2yvsH3R9jwkTq0tR53zd5i Rv9Q1Q06XH8qlbxzjMkuIFHZ5L10eNsOMIce7Qz5qz2lBDR1jImZBSwtYwD1 rXJzGlto3KPoiBw+A5o+mYFVLP35XsSVBJsR0DIGIFL0psunCjKnKIWBhsxs 1o5fOBNeTq2Al2NNeAnB2NCtrar2MIy8He+FWubWVD5vz8SYE0MOMseov8LL lpbPdbEqXyvlXFhUZHkjPNBenggyKY2PKkaYkSTvOlE3ojE1sCdqss8zRAY+ fAzNYgidrB95g4LIJRxEBq+nAYqZahBczFRGa8XFM2vFRbpM1jnPsDyQCCaT q9fOMmuypvjBcSYjWsHEkkA6O+mmOJJyNiBjngNJZNsOKvZWB0UANAG1AUWA NkBRwmIfKN57/erFNYFihOjwkACgmmkJoo8CPe9tADG3wPrLmL/IWPmrWWio +jEjBHI+bB0l6lobAOtEhqUlWIJ9fOkYqWpygPnAVD432uw5MbCn8mj81gR/ ujxKoWKUZtYx79GFmhJC+VLgC4F7QZm55PpMdq1b+ipcbNbhIl7EmxODbn/1 Ujz7sMKxZEGXhX5IUjEVxrIle1FXpb6+hI1/fnNjcujidg4bCfkigFuIgJCi PoSGXhz0KK0obHRhsME/qWzDoPS1AN3c6zrAWTbFjmP9thZWpm1gUHslZWBw gmq/jSnbMjIwWGYywjX0s6AwSpEwNmOPshfa7h6VwmAsiTbksTzSvG9moMeZ zSgbQ6Pa/xWVS6dRaP92e3LkTXjCjtaRYfCm+jJlsuYpRwGBCyv49biYIRBo h12Q9Qv8TXFa7FJynCmiJzuLtpDvRAE+hIQa+ACOAnwzHeAT5ZL9XAA/8WxQ ryxSjnGbTsQvEpzqWsaJQSks4xZVQT9VosjNpZM9dDxFx810LMGlXVku4rhc TPkWBDwykGekK+B0FLAmD9SJNNIBcbB+7UNWj3wo3g4lgtNRaRfdgsdvtCkl qrIKMnDHXRhux3dk2vFmb5IC35xphBvc05ZvFuZFHrueMVZbvMVEfBr0oGMq lyfTdxeP8eoE4LpbWszuWQqxmSho5FVLiJpgS80TsRr39o8t7dxYuJdYuHfx 4r7kwKYp9M4A71Tbmzs60tU5clOKe+jsfP/K5uRdwsrb1kzj+y6fexyMSWN4 BsXwnyOSh30QqwBg6E3R6M5lfSqV39HNYwL8Wp8eV3vUR2/B4I1d3BZ3zUrL RH14K9+diChN8K74UgbrVCE4X3NxUQd/+ONQsgzEY2WyCE95+OThqR7gS7Pk 0ADfZIryeEAs0CXEFP2QGg99vlvJpPzZsQzyHoEZ9rbRuhETvKO+W5mcuCsF OVOcqhX4zqgKfDkX+CqtBSiDfjMsyaduuEDfKUnxHCvs08kwtEcyKTujOvpZ rgY1oZ9lmHlWFfRbmiJcot/hDMIdpxAOJu6towEvsewzVeDWpbebmsuQaRLo KcAb70l6Y0G71J3SgTILxSJbzsOz3EzklN9gjB3WA1XxTEVxbQJmLfwt0hbA lL6qKK48oFlRXHlAc0Q/9DIIM4ImjuRQ/Bu6qbV8r8QoNMewRQwQ6UdXNyfv 7SSEWpsiFP0f4YdYHGWXqcsYxb5It/3Jtc3oO3P0RnHX4CUdrPfhhy/nNmPv vCHgBdAB5CilDYHICqRHJQO7KFh9ZKI3lTWg9nkDaiETwdhaOiYpppWORKGQ 2wJqLbdeTsX+3+BEVjrSKai1ms50oCyRpHHigbZYhlyN+cBXJisngzrLgUav chVgCyJPTosiXxbR3vMA2mSccHek1k7IAgvGrMFPP4x5tps4g0VlYGy6BWOo 79mtEIKx00QBabdA0CNGPa8Khtlz/vRaMhhGqAsMO80/HHpmFfhaxu8l3kAB ra0Ara2LRrDrA/CitQFA0sB5YJ4BCl642g9XgVXXGADRCFmhBaxCG0IWan3U Wifoxr0JutPAnhmqB8EJLnceYqtRy8j0dJeqppVFJNWHyGfgiJNKZY2iqmpt vxVEwroPrLNkp8GnVNVqaG8rIxMm6zm+ObsPv/rSvhCoEUxM9q2dzm5VCIJw AIIAR4CaH1/TzCW3/7g7DbT+jIIsBFVPUZBVThajk0tKKaGQQWxVCk9lXVPQ YtjRDUDgbdDjVNwlsRdWdBFMBQqyRicDl/aYNBN5N6qPqSWvL/biNoV62xsy MIXoNwNRzqRPdttJLotTH2ZxSqtmeNVNOvmjcQoeWsAp5flcvmXBVTXOMy1P rR9i3c6P4DX9ow4NaTCLhzuvODVKAhrwnrnk4N5xR6a28RTG+0L5dsY5Wb5R tsil1sBrvui56StsD0DakUq5VUxa1F0BrCjIssEKgRQCKgRWELdQmjnPAiu7 zIY5x+keJaADVnrO0erV6h7JfZfNw29ymmfO8afv711YBa+Wp++p6w6LPwMU oYxceZyOBrzkGblyRrCibB4ItQZgV0TXTRB0woUMWx9yPvohP8jXW/mOGurw M12GzyhOpAYWW8V/gNfg3T04J4sqLLSKORscvL1bZ4PIUJpx25orYbUhFlY+ qIywJ+sT7vYDPBUxZIZYY4/Y6Nf3jI6BPhTDaLzSyaHGKxTMPFau4ccGK9VK VWAV4tUHXRWzxOJjzYxWuj9SglRuQ7V8fyCFqqyYWmWKOV+myOJSyRVzJlfU G7nETF68YK0hxXRZ09CLU2Tnl/YSEXe+2PKHEjMR5QQYSxNBUCqU2wGmAFcA udDEVQip3m5JFnyyAHVJFx1f8sBSpwe+aoWqee7oiRoGHA5UyfyJDVVYjwAz a4KqaRXiKsoJzxCo0sUx1M1wE7qngSpkldZM35TKUyPOPoXTLE8nnhqhX5J+ 2TOqQNWK9D01dhmZdQgPNjJUjcTpKM7W8lxnB0rZgENZ3TigziidKhIo4To6 FERZLUqu3X+uK6eTP8yY2slfbPK9WEdXxML9F/V6o6tCpnrVv71XVa9UhBUo rp/qhFhlyvdVQKv48EQuZfF2NWjNqoGWkwACYQYItAi4QgU//3kPFB+sCBFV iI62/mxvWup3dXK4lwVdET8wb1S4DRINlPPrZPGOb+yDYy0VZjWbLagm1KpS 4hq6u53Ba+eqY9TmU/ofihl2xciGWoEq6+cyACbgJSK6nC8lDFROGNk5oY1g qtqlZZuhXeAvA1/ICCFZVguipqTwFQksaV9qWGmMM+UsDFurffdm54/AlB6H +0C+KnbmJzCVkXdcXiNMzfVPyJWDKYKDwKeGe2TX6TZMaV8JA1O5TER18vzz eLxtkRVOQSOsi/cIp6ZVxqgy2mDtuOxglD3ZdvD+CxZUwaiV6kxmH2YGox5o xIw6/qJfbR0DONHFcQ1UImvDee4TAXVwnbJhUWX01hbRdCBrFCGF3Fh1FjVy Dd7bE1dELo60VF5YpzxPvtySEahh+wcXpp6Y7EKYqVk91ulAWCGFsNJMEbd5 ZULQ7oexF0phbOeKYzhbzBj4VKrKOzD2/q52LFoOWVIxlsMx3aT8jYVkiMN+ DiTbqZBMbwv7D0vD9p+MY/QwMUd2jGVLGMsUlLWU39gikRhvnd7RncUybzCW xbLi483AspClbRG/b0P3tQPOkGGeMRtOZ9BRZ2MxEbiN4oXPHIe5g23+1FFl jnVp5qgHk2X7GLv3iZVbJTzjuj0+wINK+zb0YrfK+sQSCFhGR8Ch2ZgUzPIM YAC0t+/rJJ4crUHsawJEdtOx4yhA7LQKg2SnOdaTjge8I+n1gRghkgYxT5wV LPYEWrqANc0xT3AK/pYgzV5m4tjGn+afDptfBcRW44RrWD7oQv2zVZWzCGxe J9S6QVDrhhlRimjWQg7llccJHkt1OTAjaFKOryVwxY/wO5NyBp/SyMrgE87p Svoo7rlD2c4B1Yve8pVdUVcJYU8KTDUlhaXghCr0igWzVXzlBafKYjENHwRO +H0IVhQy/adGJgudSpDJrmSlcrHy0JTzQRPu8thYPDnBEwzR+s+bjsueHId8 ucZQS6CpdC+IU9UCPrHZhLMjRGHT7HKDt6H+e5dUtvIZfGJsUnuowtrBSVW0 8qrA9f10C68sNKwDHI2UJPEHnPy9Q+H9DlNP/zBNSkyi1+EBqVoB6dQKe8Nr ACRLNOuqFQSQplpRlQYlbgBSVLWMASk2RSpEXARA08SFEViEFJIePLBFYBil tZWxZVBIL2sVFJpXBYXWqDOZylSYhldGiqd9d2yMauDTHAc9DkRBwvA72X1B UpdvBjIxgiEce10VqZA3AKrUfehTV3BgKXbDpsjJ+eozOR+38EHEWViS/CNf Lu9TMVNHTdBUfKRZxUxQMpSas9SUAhJs6N1BWoUKbBntjZz+3MGmfy/FJhea ZPBfQVNk9wLxdI+MDaZnIieBJrM3vCRyqgZN9kYKZw+enQkWn52ULvbAwtsX WpXvZApNIdtrxf7eYH2aBzob8vDpk6VGwTDgKRLPLQ6eUt8tjqF4bXg+rVgR Nr2bwSZ2DuS+XkeKPkayUCsifbrMeCimnk5zZu2xSoEQydZqWVLVKdZou3bm JhjqcfI8q8UXrJAQCVIF3ePTed5UC5YAbgRFGVjCM9va1O/vX2lgiSDUhSVo Uw/ccf7cKrC0lk/zmSoU/dME0GCj0f2NvM0DaNHKYRPC3tc6uKaNgcs8Lit4 8GiS1NyBQvBs4+Donh692oAxKGcwKJR1Ul9uiT3Y08KfXKtGztijHFWPh/NT WvvQ2FOinorsuChQSUhrWQAycdFDEy3HEQ8IVQEg3ph2a1PElaMxJnFzwyNW mhL8HFBK08yIpoKf0SWhUQZ/8uU23+joCJOlbDvCPT9ER+MrREfpSFJxv4af UnvWjDQhV1JIp78PEruFs8Fl5VxJ/MmbNkxX6jrCIFQJZL7XL8CqBEMsvccL /F4bp3Gwm5Ll5SpNGyt1qYO3jDsytZ27RsG35Vtg15rajgKDTrEw6NCBXZnJ SxeDxJJppkcx9e5tZ9sYpFe5EJiUwyAYK60qk6YBg3okTcP9cJls9/JppYxS NLtPgF62D4kevWXd6VWQ6Jw0GDJvtDVabmMQt1JYkvQBBzevdqCnpnEIsKIW UgCG9PYUAqBxOuyBq2LqxM8r5LGQSd+foCkSvQHurhb7TUKm+AFgykYoJzpC aZUbQe+VlMW5dtGMB7E2z7MnxzPGkyNQX5/ITt1wGYFUXWmMpA2R8M18lIgc 7flxWQ+7YWZxsNMglFKFbCtOGlESJwGk3tMgdZcBKa6t0+8IQyQRJBiMgmCK nkCq5LELUipO6jNxUvHuJgVSop2qtVpuQMrd3FUhTmJxgiAVlqEhRjJ6XPoz lk3jYheoNE7BXVqWBRwNTuW5ds5j6YRTuuxUHJxcZyImFScdWfrpOt3A+44n q2hLsw+DTrWi1ZwKIs/T/HPiMx1hFJZPvbZ3sTvbs37pQhutoG6yi0pAq7WS w9lIRbfzAZVVevcKolIzTplxPK2Cqv3UKmh1Lk5CzuSy18tct0Kr+xpl4k8G AIFV7Qar0FaDkKmg9QEfiOPrV1lDnMWvr7JG9Kut9S5goWT9dFdeHgOPLxfh cfmJ/dGUi1U8cqg0mwqrVPG7PlP8NiYXuzMmF7gDQVU+m8ylYBUCqYIJqhd/ iQqnMsPctYKVFVYNXDglxRMVVI30BlV/YWGVzuUIqwIFVjmd0ymwKp3qttM5 Lko9PBZ/HasYzhtUMNV9zwQNVUqYMLaqMIHfCM/iEgmpVLg6zqekMkCl23v6 78eeGC+1ue09vPKvsJzdGWIcuGE64Kqky1cLVEXc5Yu5ywddFedz73eGkuYB sJR2oR1HPUArX5rcLQjUMk+38NR6FKD1qRpBi6e1N52YSr/Lqg6AKdZAYo+l crKKTud6ak4Xb1inb61X68nsoauJkiZemZlsF6+sZU0qra2AV+vTq8z7qwYP R7hQxRgCpyqNUThPlzdqmKIPDrI3yuQYkiYVZO0obmdBUmziJbmO8e6pLlyS y6JSVBWV6H8blUZ6WnJphQldccQAGI1OQ6hcNoRSyBQoaKrjbyOXmSjb80CT +kLXZ/ecepCp2M9WDRdi0WAmhqrPxFAGkzZ/LEyyUrxsmhdyGTwSSOoDJOE3 pERvQk0RlMEk3+7T0kI4Hvt1zvck10NgK6Ak4zWRyfWG9oNYoEAgWnui0wGm yMn3CJb0dIKqiA87jopU2YlwKU5L46r2JICEY4S9a08iqX58L34kaYed9Fnm Lia0qhWRTq4gMi9BJOUfMbO6wMDSl3dXKIWfJ7AEN0erFG7Dkkeq6Zg26peD kW0Llk73S8tPqYJI56WIbypPCpGUi9irN05kFOJvP/1PCDIK0NEgMMSiJGUU jgE/E/0IAvEih0lczsYb+wpdcc4sXdwu4MMXZ0En5OH/XElpyegAVF0pdupK E1XOVmdyNoAOaw0vz5jZhPguoRImaZsdCqHEXXM4tH9sic8NgU7Sv246h0Qw QrRCorqSkAjr176YQk/IuBNzpGSVmBRo8WNwWohIKyobD40w8ZABHriXlaZu Ic8ujyzBHoxqZ3HHdr4Bek+omL0N3jpF4Y4j2PS54CBAspbumaCo+FqbCobo kHp3LUFRZOMOrmClecZO7DttOVEOoOwEGRRdpXTnHBNl+3AIh35SHnwywoDL agSfk5yNDACf1+8953S/P8PM6i046C9F2OTDHV3wPl9wBwVvCJsc3MHNSzRN WX+aXseKwQEde5EC/XJzqoDOhhTAzXtb53kPY3mvW1tbk5u29AiK0GmzNO91 DodzI6wYx8Q/T3VxMbsed+IqEaiHPnlDT05WzPelljwAKHIAKFaOWdt72TWL AMiKenxCJLe23Z3WtqW5BtEztIK+4pFGII56bEPCj5GUAYUghWQH7AfGuAFQ zqCQhUD0oin0oet+LWvFSgUASmOpMUiXph5AVcpoxJ0N72al5d1NSnCJAKix agBkQKjCRkkJgOTNzmWAaOCqqUn/1pmiGovdWbyQdZd1JbpL9XGZrPfDc+hj 17sz8U+ox6b0ehtjaVhw4x/juSAWXYJCoQy9pMJyVmR+D3uvWclEUHRk6Skq CPovKUmbtEFwKKMHqBWHTvSrLMvgUK+VB+3bcqJuvHV5pAArzzrDxSGIKLU2 aZPgEIreaLzhOoNDque2fP7JJVIAAN9DO+eUgJAU6093ld+XL8Zv9qkqILQx BXdzdT69zAWhLjphi0DK0dA++fKkMQJCSKY0CBVsEDpHQOjJrnpJtL40KZ9K jCKFRE9M5nN8WQwYilwY0jZUg/3dqnwNRXFzOsqr0AiP8AZH+iVoVG912rKt fq1mTnMwwseVxzAiKSRqDNlIdMywwah4exOHQihlRz4oUvXsn1zTzKIA3ff3 QJBGLiNBInjTntORbfCv1d4eEDLef6bbNsE7YaeRCIPAXhSqKRWLWZfEDX+l SQo5F4vdrlvIff/67B6XV7C9/FjZYn4sr0t0m281glEaFGFJUAgowmVq/5be weUAUnFwchaQYn9s9F/V1yJTFmpJ8cd042rFpBM+NiZ5rAscMcCUCpi0xcIk lLc9mKR1AGXMCqrAkiP2PrkKLG1KrzIwlPPAUs6GpQ563+5tZP3ipEkcJkWA HQmwJWiyEjCBJb44NrBUEFiChwCgafCObnUutjMzPSxqZWfSVYtsSFITcgqT 4lR1ZCuPcqnyKIWkQKVo9EF8nD5vm3gUkC7DacwB0lB/qw6OVB4zeliQxOBx IW/Vc1BJCtfYwjewZQqDEgpEHkBKszK8ztvS2RN+xBCPjbjIjofKJ2YKjSoL tw0aVd60zQ2AJhS8rQStODBJ0Ghq2Yk6J0EDF3GM9CUjQGM44qlMJPzZNtsw EEmVh4qHOvQWYM7UchVRyAzzYvyEoiLRA/z39EthkrPmowCg4yuIJE+v4KLi dtlQQbaKyo4mwIYiYIuGInTZLvRAEd2t29NlcyriVpet12OdMtcv2T6pChRt Vmcymzt0Sma/m3kPFI0Eqoxj2Klj2FGut+28/xbQZMFQDhfipIVtOAusMspx 9qW2fbaI4ojBKQNCuA1Co7S1P9zYKHYztZDLHW0lidrQnW0mNEKOMnR7G+MR ytX4bupJXraHqwGMBrZ2KzES16o9cFTPUPT+rg6emdN9ND8Mxaz9xjIOfsh9 TRYSRTYSBao2neOlIbyp+p4JTmA0arhQFOL9QfnGHxvp9xkTcoO3dKmREu15 F7t+KYpmRjmapNLwCHkaNifxzx8Ti+BPwKnZoU5ESRwasT1BngtFI/Sor4Gj oRe7+Tym4GSABJ/63xM4sXMxWQiZiY9qhaLZFdSRtUBRDb2zPZfucKHIbvhv c6BIJJLdngaax1RAKtWVoMiWJREUnVgFirYIxNgVoyh9183NCy4U3dMYMObg Ey8BEZAHB50POCfDSctIAz15bn7FjD2MUPs7pXBwyBSGtvVmM7LYRR0n+plY Gv3EbkIWcviTN6ADnTFG5gE6LC2ihAx5mFUcwpAIXHm1nya+0DwI5sGc4h3c E9vajWfWciN1pMhjqRl5iEQGdemPWII5oeRfCKZQ9kYeprKxnK8kFOim2ODu Dg6BlH2ACYBs1CktDA1e1+lHnchGHSlSj8hkZYCd/gtn+ibZKmVlKgYaaba0 MX+9mi65GDowWc9xl5/RzTrS5Y15k1rPaoxRIhMEKeApZIAHlgEEOEYH+Qcp LZuM4GjQ5rgKGyjmWrUVDLHeuumTQBe3JSZ7z9zStLTEfDEPVgADaHZUB5rq LTENNA/tnMN4SLjoBZp7r199QhWguSALNHyT0AM0dR6gQR6PNvyXJiGO4WLQ YAs3OzDwyrNkO3p10Ydv3cK2uwWdXkmOVVeSY6kF54I5+2rAnGFEOiMyzXhk XezTgXI0ikDGr0QKQbFbCFJf33q2x8UgKvv+0v9IdRh37lQVGCBPCESIDOSE elTfgpxfUszjxDgZuGGFJERHF05R8kW7Au0UfwB/Zof74+MiDnLyaQU6W4VW v1+OsaZ/4wwbawIFNrlswpVJutS7C7DZuZr+wA9iXuyNCbpRmeZcodOPN9vV FeAQPt7V7W2MabUQe3OhOZZpjBVsvDFGcQhwUPQp6ZF9qy1wQUepsRHZ7Fw9 Tkc2wR/ihAXAE9Nvhvkm1AoxsyrogOb6B9Bq6H7pqjNhSrkKDyDmYn+Fp9uq 8MgwbOBbzdDrYJ0MoM2tIFs8vgrIbOXTGFfptw5gMzLFFOyXT8vCDCej+HzO 4Al35Ol/Oh9kCsqPT+YEaiRO6wAtkYGWSCLsdyGBBqho3zPucrG9ESMKPhxv 4RW8yT+aFtfEUm20kR2OTqs4jkYamGKKyq6P5IDsX4lsTJFMJFeSQA1sA4io krI2roWVbR4hCCt+CE649SUd8xVzZzOk+OFE6Z8pXdKQohClUAlRArWIPE4b 609YdZzYjyqqdGWhiiq257JVnEwUM85EMRpU2GLEI5auUM1R0II3l1Kogeum gYFwGbtefYX3XrhCxD3TVVwz0FUOXbDmzQzsH2Zc8aOLlUtF8Iw0Icwfq096 pnYzQV2WqSxcipMc4KbgQZVjh48qvZWGyCK7bhx0W91xNMwFTnZZaML9ddVL 764yN6Z3GvR6xlnpNZagiWVuy9lgXRqCZN8igZRt6gwCQNyIUWeUiyeECo1i cYbpdkQjjCLXTs/zxZEu+8o5OuVhr3xae1EfrkP8wToEPDFQYsUnSfH5NjXy yANHGko4NOHIBI+ldcvGvKNMQpQriUuKj/HTP8fRf4ojQXkgqfNWYnRviCKT EN/yyEQnAgwibgbKqAp0lPSLYSSFKvTYdBqm1+aNn7Y+BJ5CoJOkSij7qFBo 8ArYSA/dOIlrMezhsR0vRFrl6pVHNp7IbxhzWgRAYcHAcwCT5xlMShtVgQry 8plmFcRRABT6G6h+VWRrmqVzHtlVmUBFplEq4XkZrEOIEsSZMrGZWs2V7Ggp voGOEoUvbNxn3G35GHq2S02zKiu2w60+TIkNpqi5DPGhTeswf+IJUSakwbup zVxaY9hyTAWx4Fz/hFivUw12GlN65iJTDY4zgp2VWx+41OmTC8ZMqVwItttS 1itx5sLm+XWCx1UJWbZn31pGbR++jBV8QRSiJV4EKAwj+PqkNV18Qr6IAKUE WiIbWhCVFF/IwouOUlQJMeJGq5hAqHAlNJLAqFLqU5dJfQb3dLlhiqq5FLKC nGz6UxFhKFxRBdk7UZAVhOGqbMiBhirbooMkyprIWk2i1INcVUGEkqmxEHpc 1qGqORE/C1IcOgLlyV2v0Ge+dvU/xjj6l6JJZKOJ4Gou22VSkBIoPK7P1ne/ ADhpSeMTpcQJVPYTeXyDRmTLLdaGExAPYhQZQQ1d5/9spBJyyaXA1V4EK8ap Hd5oN/ISWjyjbEApG6PkrOEJDlGUVazaKp8tsuit5XbUUiuU9LnSPyL41+89 Z55/cqvXKeQ6PSUtOc4UclMUgZ/ZkvP7L7dUfxpFLt6wbkr1Gq5GEStg0kNb 124+BYWheX7h36wqKLIjRRHjZCbD7Ywgh+8ez9AwSkqw+EQARTiv2T+53mQz +NQTjABOcK6gUeRQi0GRGKex0e4huAKMbLVhRBIdLpzgk0aJDgZBOXS5cprU bRWQhKZyq9KdyI5U5KtRMKEKcATNa+iLBUuC2sGkNO+hUAV0uw3xwSNjIxnV LIMlKKMMXoIChI0lsYUlIhCsqV6LKGnwyg5OesK0jFJgSMFaOA01bL4NexAO xQhMFJbUpVji19GEei5EoIRnRhSUiJwmnxm5KimmFDJogqkr3vJ+7TSuqIS1 YglXU/A6PpQiC4EIr5zR7hqxAZLIVG0jgQ/LER98+HMPVDSmUGGa07XCR69f HVMDfGCTehnn1kx5NjaDnzKtsNsDH9atq/hKZyqzJTuA53kke4cO7Dq2Cnzw BewhZoUeanDq7vEqnogZCXLi2DXdzH4TeqB3wiihZwsILTiNaSkYqIilsooE xkDFbd0pSkR2DqM35g7d3xG4+BBntXY6m4n5kz9wqTggv5DG7rooUlNCU/Ah hEpmtrFoR0BC93oeMr0eDRaWF4bBiciHE/S/4ETlQiteAKIQwoko1fsWSqx1 eP8bwUT/+TMCnVVx9EFh19CdbUqGqOqt9b56K+PE4N4u9Qa+qsf18+VKIyrq qC+pjqCtx02dl82UpsIK/Lba/CJjxtpie12meKE9wtRWv66032wFHrEdeBjw CJQXvhV2/MKDG7zzgUuwtZZbZ3ikLIIYwTz/kFOvp9zqeE6UlFtVJqK3oBFk XGVBBlAEV5ksp3qltc8/2TTPUq9YQrpjqoCFeouyVl8CGwoy7hovWJFFDKmI 4HzAhY96QEQkMQV8SRV2cJRRl4KGEp5kgWOKv/pRQFRhd4RViW/VsWy9GVXA j1DEcQAQXv6gehNZBHlm+AiCLy8qEKwIuYthiscYS8OMSFdEZBpSw0auLGyU F+fasIEaCL2SIC2AAG/KGJrCBAhtGpkZCAEeMCteqTyZefCL3h100EsCjTzP hPVfMEOXn3TOolKWXLasmllSljMAwgsyKchIS6yWeZcqh4RpLcQDHgiLxMWL /QXh4oW4I93K4kKIJ3dBQq1iDv73yzS6NuWP8em3wMBGrUHH9AqKuHkeXS59 b/ukE2vVV4Nuq2mLZENEuV0WhqxavJh3ic1ddsU11ui2ZYpjY4j44XjrqzVg iKWA66uCIQqAs9ORNoYc3D0mjSICrdYXDLlm+khczGK1vKyQwCouhg+1UOLd 5hywIwJ0ZKKO2QCPOBtwpPWM0JLP6qXTxacmpT5abjqi4w2BDAYMk+lnIYMB I+T6wIissNbRsxm+56Tk0bGRBzLsBospcEg+krcAQ0Rrga53WPPUAWc8QGLb 54ECHQUYY/144ZkvAl6oAavx6lcfXZKY6AUV/Zspc3uyxUQceI8xzS6y2rDE XssEHFI7zae1U7F8RxefQCNkxIhsZVuVoGOSgxuR6dAQduAWLDbBjk3OVb7h z1XQf3mTMxREGcFfeVBhXPpZPzxcpJhWxkrrBwe3e5GC2L6vcqFUa9XEnMYG C0urdh2DRWR8aVaedUbgq5KW2TRIKNXnF+/P86hHHr1lXW8VvLgkRWBXppZB ZaWYzcMrKNm6sD6VsircyDGciEbgXT6QvOhKhoIRRBgiA3mnOdYI8lybqYYS gkQlKYsVeAQpltghR/GpFh5UHLqnPbQUaRpGuEJK/+vU5WhhREcdQzdiQPNR 5UBVFUbSskZBIENrX2XyWotfY1eGr8oacXY6cf9YTlnwUp+wXqaDIog6KGuR 0saz3IjRGhFXk9aod6EGobJYJwzBu6RHhdKwQ0qlllDEzltyCkEOtv7f9t4E yq7rug58/u//qsJEYp5BgKhCYagqFGpGTajCDHACJ3AwRREkSAIkSBOiLdKi JlAWNZIiKVkDNYSy5EGyuGTJtJ0oWQ7k2JHtGHF6iHslaTuVttPotp22Om47 jjtOV99z7j33nXvf/u+9AgteTpawVn2g/v/4Vffec/Y5Z5/hctTKnMa3GDKa wEiLhhE0E+vy1zcygpgvW6+W6jslDIQYKInDl5pAyNd9oJL8iTODOlJxEBLk J89WhJCO6AJ7nWspgZCSC2oimiMqD/kxBSGEKgZdkuuLq88ijqMQQvIFImaB NkArwBEb6LUEvYlJNg/UFZ+dIvjo7OykMlRKvHxzzWKHD8R0Eon55vu32jIx kqNvrAngwfydzA0frolDEr5zjrBCbnXyKRQDEDQCzvkatSyXUo9BwmJEa1OM uPzCqqziQspZX14KoCJ11e4SgRhESDg0aZPARVWqlkNEI4OID66UqxZseEL8 dBFOfNziBHcqSYRCKNlaRIWK53bhfrp3kXeUXA4LFDXXVhi5G7UMKFIGiQsP 7ZAhPUG6liKUmiswU+laV2CWrwK5/LWNMpKKvI40Bgq+JBIkWOqEEXLL+xbz 9R+cquv069K3ABPtBTUfscbp0vi4istVrOoQwnEbScyHuqTsO3Hhhw5MaI55 FpjkylR3gXr4qYLCj84SlLAzbxq6VdB7b27vpgkiprtbpEvvm2uWE0S0MSak PuAwWMFMhXUh1muMyFjPOoAIZj1TDxEUYa9iOU6V60BNxr7QjJIir66xnEVL xHqGJWEWGRYUIYNlPG1i4hWrt7WM+2yNuU+uDONYw/bqOWiQSVE2iRKmQmq5 eU4WEOgnBsFHqqHAeT51hgJqEHJQUOg21INCMBN/WKehxSdGCA+4uvbJDmqk qfkU6yrddOnDD8IDijX5Kh01/KCmSsJcqlWXhOlq07V2wCFdJ/thmsbqSM9U N9ZI6Yb5O+Gogx6/u3525mtrZo4Pt5Cz8GdOGHVosRQAQ1UQ2FpQl6FBIL7R DpGcJu7YCoozIoJC5UWeBXkRQFAYcIEkZ1d0LTDVqk/jmoxtJfpv7/6rCzsh 3sJCpfpclmFcgoX0uIS0nh0BN8PEz5HM1J0zofWAc+Dvs2otr/E10vg00vgw BcrJkZ/YwL4AUXT23tq6Hi+QVZanWTbUFid8ZjlZpkjzqV8tYypXIcVXgYM1 +uQNULlnTXsDquozaaL8TGnQ03qayQdXsurTSmWmQH7CkgOA1AIAXZf3Iivn 51n7ZVCuLgVdlkuNEgNB947zCCtwTSbBADW28MlxT51UxGQ3ztFdA4QBBgts xZ6U2nw7Xx7quEuLBTzJQuVKzRf5A8w7fI0nA7isaeqrRFMHCKo8NEldgejF V1ZQ5EAymfzf9MD5jKWZvvuMaFUMuB7fvTsN6j6Nuu8qqvsMCyoitoHAwFGT 74rSG46a3BIVVNAHmRAB3RqwC9eST+tqiuya3Y4S/XcXqwe9KnEN+cXnlxF1 8AaZfKP3LeHsIpoV+IX1NC7HjoWv27IHGavmbP6cQSBjDIhJsyCwMccY0Lw1 IuTYpD3Kjf0uX9GS5SvY9nv7L6aWQMDlGknEHAJEDKTTZxqI5PSc9X+B0n8i DTL9T3WiIql580+64BDA5Uf07WsuJEg1BDB6LXProISngwDpZyv0A7IuEwqv TDjAbkDNd5kEDIIEBpc/v447/N1FI9YPaJgA0E5kI18gKOVsyiAoT6Bu1f6d bhgbX0mKtb7mLv6minBS/ZmfW2OEaglx5CSJf26FMuAKrnkLur8FV0Mg3Vfx eROmUe5Wc/fYNmEa3x0xjVQhrhkFmZ8WgQpgGnXlt1H4aVAKYdbVXqL7T2Vb 6l9emOm+7Ul7nsXyjTXXsO6Tp7hG9N6G/ski1n+a20eCw6yh+bc0fBAYcF3l xzex708QsDoNXf7mui9Jhzef2RLqvmUCFgZMgFwrK4VESvFrnK9syVl/W/mw rFZB/91Yxpz+h/Y/1fZf63+q9d/HGs7916ShTj24UgcuWP/4ahfVNLf/iwL7 L8TKpQ9vRNdku5qHJVkKQvEC3ps7v232woM74taQEv3nKzszBlGmEBEKOIIA oQAnItZLObflD83jGx/c5AnDv8islefBHQgEeYiqILC5GASiuuyYKyT+zoTn YqTp/lZp/LgeN368RyGAi/2T65t2fWSFlPTTFApF5dj611WVUFtL1P989pKP qLT6k/m/eIFHJX9jDSt+S9Yc2uAiR1JuUnpyIY2CJza8b3B4f/lz67mi97Un t4ntL9L5Bkg0dthCHhIFafmSGsha5vO3aZ/flgY93G5B4OGtmcVvsNJzHbP5 2yl+UkXzXaXjoqg6wXGDOaVPM6Wvc6c6A80rS73K0ztyo8Ragt71S+9bb/9b 1vzlhztbzbfsR2tcYO213nj+9Mm+KjLy/G1VZC2usObwnyYfpuLyc9FCLZuq AfhAq/OtXudpBKJvdc8uRnT5gzTfdZppve8Ru/DAEq5J+CsrkEHYv+QtaPym gntVp3ElZOxwB7Rf04ifPHkppDbO/jhpfkoYUOORYfxPeo4RYQw0a/h0Q8of 7Ro1innB3MUY07hm4foSaHhHtuu+ZkFfZ/j649cQHnDCyaJCS4QKNqDcNnv5 NXbIv7a64aqg+dIuYqG4eUj6KjLmjwTsK6skO5CUgoMKB1LNByS1kATUXMDl j6ziymMZdSGgcPkF+h1ete4AyiSS9quRhIub1itpGuBaRyVkngCBAveTy0Wn FhaidlC5eyJlRHjzHdeRc+Oim3o27rQ8OcBMyokumxzgDG3Wd+Fn6yzJBqBG JQlC5pIvQH7ApZcd42NzBMV8gOYG6eD5MoLufFFkdomTRoiAJJz5mTUEC+wI /HWm7t7zl3pe7RxUhYWNTYoPmsHCV56Z0iScIwG9cup57s8+djouU3KljiPq /i4a5z554xPsGRgEMJ+7c+iW2mzn4M3mUM0/GRbIi6AveiPVNlFn+kg5oaDS j6jcqUvfUZGHjqh8YUsJdDydncLrEqvZt9e5VOHCyUUSPyz0bVb0Y15br5io bS3sM1CcsFq3eErdUjp76SObLCvwkU1J5lBA9GhtUnywMit9zGKKzLGwmtZA PIKvf6SBFXT/p7RISR+D+bfLOKbcnemyjUkeT2SEF4UQi6KwgjCmxecXVWtF Ris6GAn8CxtSLID5RXKJLtyzXfKMyRy8izef3WyrxD61VrWY12PvohZXNjko MUEibclT2wiEpds8uvHG1SbU4H2mdohOjTCk5usia+xdhEVOaRRX1NmrMPAh ccR/caZMcwkOPYKE4pmK6LGhIKE4jWultdIJoRDF/ZJP9P1WKf2T6w4MSiRD rPjXMnoQGBAwEFC09984u7H3+Oy6nmOzK3Ydnl3Ve8vsyp7j/Pea/ttn1w7d xf9evn2/OY/V3Udqs1v6bjA/UxCGPszA0ZCLVaSIMgtr0tnH3naPr8JuV5Di ppl6SIkqKKcLEpXXleDKj2a44gkLN0gwcATdc3TMs9O7GjI96+vkoTDQEBFB vgfTCu++PhW/ZDUHKJk3Qnr4GVtRfeF+cojz8FIjeEm5nLrBUyqyuoW1FbAl 8kvC+aPaL7EJwld5Qs4Lq7JW7we3cjrBd4lnE3K4a4NdFWoVt6NKuViyIQUO GaORyHMeYoS5oFfc9B36WfQVuSwNHckI4CTitxDYUCwWt51X8Ftee7ydid+s /byJ35JqvyWRgEbuS3bl81Lg0BZ0cBDaeNTRU0sbFmx+2jWBGZ/F1zmk7LTU w8Z057IEVIYLYLaQNP4N8Ewc3gS5y6p4sx7gzQfOTufxxtU5GSvfBbgL5Q9Q EOPqqmHtggGZfsaDhR5vyFMhvDHgwVhDmLJu5L7ZzYfOz15/w7vaZjvv/Fht tuPE87XZTVNnzREzGO08wP/B+DUea8iLGYiIEQN0SfNsaK7DtCsqn2qCN/qa rU0lePPO7KXwlnfOOrlxpdOCMjOfYs7d1zYQ+WHAxciMgRoCnY9tsjUP7M5Y /pMq+VZxATYXTRJZ8OOuI8niS6rhxXeEUl2xhpe0Orw4X4CcFh/y2NGdaRj2 JKlX/EvP8h1ONN7C9llxgaS9ZtR2c7kEKT1/6Z1rHZrkHBaJffworweztIuN fUIgqbnRFZc/usrhyFZfEeGn+ulMyII4E+LLsQlLwlEWTbCkLRcDUUqEr3Y1 MVBYK9WWawazzT8WUtQsLoER87cqkUjj4Oc76+KEKIc8q2dPHV1AxiyZBcZu UQYYPgyqCiLrCgogEIi88OBgV8SEuGLJOOoBGVAV9fSxqrd5HBGfRTDEgAXh xzLCD/M2AyD8FL1knBVGD6ZILHL0RcyJaxcrzKdazkaRJzF8uOrL/bikYmOV DtMkfdyd2cv0nSWp/eXsgvhycK0ZnMx0GNm4+N6lFkjoDCyUsM9y4e07OCRi cW0h/OCBNw3hUi2hSkLnWMDXHu/gmiBxUIQ+sbnUlZZZjRwUNtIrdHu5QpLW wFHRRMql59bbNCZjSRrWVNRcMdXlD1iXhFwPSaoSc+KncblROOa51A284cIL W3tliVbtqbwU5Vh4WIbrPxM40yVWMar4MotC9yT1kHL5VeI3DKhElVa+MwyH QzU3IYfghFOpHAsJoNDnZ60emmxt83MtfLOYiYaYWzWoIpnWNNcllgOUmgOU iy9yDcUpDyhuLmUQCi18C6iyFlxPZfRnvwIUVVbZXcKhUEzhcqooBNrDyt8a QAnhA+HE+rEHCEaSNYwjLR5HIgzpK4hyJCcbRzlEABNx0g1qMQ/goRYbqmHG E+5YXqHv7BV6Dd0IEt10tXBL4vI0p6baGChee2KbAAV/7+iTFu9qRFBRZ6O4 0DaUP27JESrA1lihyJLKDkdLABM+ljlt27qbI0RK/oa9X8EEMgvclM8X6Z5M f/HCKQsZLuphrCCkp2DGzsWaffPcpho7LqmOXay7UQAIlDt+8x3XaUBINSBw 5imIWLgmjTwM6onLDczCXobmR6jkii+7s1SrK71KNT/CFberGRMIDjKeVUZo 8Qg22oxLn9pcK8GEf6Axwfx+M19dbUTF11gwIrgAOghMnKYHvkdVRFiDc6z7 Cwqtm5AjEqyoJtBmwUovq3WLL7QmB0OhwoYIFCQscWXae5r2c9hohLK8lKZF 1Ed3VJupQSEaVbH+CkDBlrvVBRQkO2Mhu064bm+6u2cr9YOz3rf4EKNOes8c xkqxXJbDsC5Cq5+0SWpPIkVwIDwpdBXSzFWQTnHrpLcpunS59xVkipSJQDIg YL1cJgxmkkECKclLS73PwBmW51faAKNGqNCIOFR6te5chEvPrDVf6wgLEhlZ fuFkJ8cebqiVj2jMt1IJVsPwQBcysF/xsVWV4KHFwgPdRMyIulmSMTUpcJFB FGFhRhyH8KUrfug46NmoxaOAfWdXazAPS67LpGmvvlW0VggStJX/cB1hxEzH ekuokZBJ6Kszsm8FH1ZjfNA6o+qvC3mMLAQBLZ8yY+LYvRd2K3TQfgPFGAYd NjM6NBgdiC2lyITeQi5HL8jURj9INYw2oSsCjDBro/rtA3hCxborwAjXr09U 9uvNCjsu3L4oSUOvoBgdany/W1tWkTmdeQbUkOGGfbNzkBY7B1kMEcQP714v TRBzAAbHeQpn+XEqzXoxID+Nu2CgIhc5oOosytSYD7SOgmvecmOr+LoBe40U I4f5rYnWeY+7N8F4Dv5O3IifkJqt1rhmy8NDNhy8SVCRaoiwaTByWT63TvDB 8565Po6aa+zKFW+Rc/XtaNKVr+NaK9PmFU6kkm7xbaAXP77Cz41gaGCvlPkx p+gB41kVEFYWjIw4gMszNSqoYVVNQglUnjl54xO7VTqWHAFBBGIv2x0kkLNA PKZyFpLd6kZumTbhC0FS9kxcZadzGHLdn12grNNgwgFcvLG2BBLutN/8kHn4 gvn6En3Xyo/puUT9qQPoWJEBuT83+VH0vumdDZlcVwk1UkaNhr+IjVDC1nI6 7oE09eU1+vZa7F18TnsXFkYaHkZoKKVzLRI22yngNGsuYyruhHMYFiu8kPDC 40XTtKsM5nTdHCms7eLLSYyrE825kxyxS8P6dUVA8YUMKPzt4sw+qPbwINxY GIcbvt5Lhn+zJ9Gs6quQiEj1qCtb4VFTqRK6CtlexLU5TpVkM3xnvmKCjfs5 2LBwIRVFmntoy2yXF9RHKwLHiqj9W0+QOBCVdL7w0DAVc3eBbi6DFO0q0ghL OlNd0pkIZJDqixNBuVbjOSTblBdBeVfyIshjMO91/695gCF1oO2g+asbFIF6 f6nhyzV0q/jqaoiRuoPhw2nlx/RbZYjhBppuAaVi0/S+LUY5Lj631OZPGwIW P7UKgEWdwaLuO8AdWKQh6aC6Pvx916/hcq8aIQTptgs9qFLD6GMJRKTasaC6 qFyMwcFHUOO1NKrxyvq9mHx4aGvDuRSu4UP3fLliksWWgyAYY2LSlrK++fR1 vq6dgcMt+dKF9RxuuJldgqFqnhdGiZqbXPzTK9UkCXU5gK0Lpf+ZRRwlVGVi y78cQ2mjjwwhai7cUNnUfCZ15qfCGAOVcjlkCHiJqsiwvKBA40Bc3mWLvbtx t5f26NUQbtTnaXyDbuVSSKBBNAS5FDsZH+qelKSUqHlPz5wCjHZQz9UdlYLS oowLcaCg+GJVCUCczBR6v/tKWvgx7SoDiFXZWfp5varDzEYjty1K6hWwwToS 5EDIcNxLP7ExyQCCA4+UfQfz1hfXsOqwytBMWZlip92Hyx9drSMQeoPDhhoI QVI31cFXRQgofIBj+hdt72iaC0G2Onh4ETaIpKBF1MBGOWTUPWRc/tgqB3iO mkhdaby+XVJunXzznZtt92zULfbllTr0SDKoqBFSUAH9Ex16sq6quGiEEzP1 sG7LUNT9fVSEE+YrjW5Ja5VaUT9bguou2Kn49OZE0qUXP7bcV1UwUrjuj4CN cNm0wK+oihTLCrKiOaSw9eHduDdsa9Qb5kbIxMGH6wvVSEHlnYQG6/pOMFJ0 OaSgygpBCvOeHudEqLgDTp1RqBW1k+nfXFV+HsR5z5VXQEXwZbp62u6FxPkE My9xpOzUuyHq/WpevWuk3vU8r8AkvJqBTR1S1PZlOz94DH2g5jpKSEMXoETN iTdkJZZhuI1YzV3GwkHAi0xPKn+gBoY/NORHZeqdKM6xzm6A4xy9bqdRrNDG sQIpNd0LRErOnbCP8Rhc0u2aJx3z5l/mQagZMdb8B2zCz8dsglCO/nK5p92s mMjy0wdkKu1KwFt8Nxh9zXx5lTnmxRdFm5dlWuozjy3guaravNRxi6TNko00 2nwQlDd85Zmp7ohbdCxCUTBAwT1Z6N6xO5PuJvwBZSF7nAqbfzN/QCpsnP8e FQdQUjMuewrjgBxv0I3LLA/iVvAVV6C/a+1zwQBcdGequkme8Hn2wq0LE6XY LUwTknJLBbYbbF8Dptvqdj2cbx+OcgmbvNq9apOD7268qajecrsGpR1dNcGL S1u1elMSwaUevHozkehJAVstJTquSxCKdbxGKk4otSz1dlvp9mLPA5B+M1Go Uo4yGoOKm6huDGh4nTWcptQ6Da/5WoSmFEBNXWcqw1+MoqcV9Zs9e/PCG+/b KA691ewVwCaz0DBdWJUavDbOFRjpNrEv0mdfXRAG9584M9Ee5QqKXfgupdWk pqLVFOL3Yq3uxjVJotjKfU80tkiA34OrkQ7GSUSzfrMPyytdutPyHfNwh/ki VlBr+Dr73qDTC91V6nwqOtDZ6R0NF6mbxxpzeS1eua2j2SG3VrBu1zO3PEwY pl6x0yxeb3jV9rdClFrsmpvIGJQrn9q6ELnjTplr0qwZZwTqwgJ8MCsd4M+v N9Nm+sEuw0lIJFqdpNnA6TzPZ8P3NCP37I1k+ip065NTtsVPpH68o6bqjC5/ xrV4f4Ru6pizgnMpkrHi9qqkagacCwtmL36E/XCr2yrC8zLTyAyH1+qqVvsa nBE8iGuIetS4aPJrs2qdpjVEQvqPHTuTFOl3n9NvovBIv6mKwFj2blUzRO67 Zu80298Bprf0qNSfU+7kEO7fXlZNs7/vjuFXzdeHlGavt+cQzJE1f9iMB+Od XGovZUW2LjgpsL+9l0l6sdD1AgudRsTbIs6PeeLNaAdpCeX5KOL2yv3QVq4d rJeo9ZtPbBJSTql1qqPsJI11+qUr1+lGWLVAnJwMZclccXpXWDE4e/kTpGlm 59i34W31PVRJ5I67QfKs2TQfWuZwf3YtVOd6HGVbTq7OI5qoPZP6qKRaCGp0 Psqe+XveBbfavAZobj2zEhfnqs2LCzquDxYUAWkai7zxZ+7q14wXKgKSnmtX BLSrQLUHlGpTjp86ppRqy3BGo865yh/qQ2gHAbX5RXtA8c8hnMVbWu2yvJsS e6GHLda0nPwrifpj1dwPceHjsB/btiVx9Bob7C+tjNV6Dlqdqqo+iqVJJeiL FNyoSZ01ZoEdqejGq9DL/uY4amKyeu2877o30xRcX/7AypxO84iFc5uShufV 6lELwZtPbpqbEhNb5pUY+twpqa8QZJZ5UDa5HvNkosSUeKMxK1I35Qa9IyWu uRkamfJyDH1+m5DqzZW3JVBeo7gBZ74uEwTvYTu9DbJpLsybccLCAsMMDboe d1FBX7RW3nhKYjdOyMeud5NZaa5Mp0h/h7D+doFu6GgMo2oHaBJW94DynEO4 G5oDEt64Om9k6DQHN9Y1qJ739SRLsbEab8oQIL5hZjpxwfRoz0Zrgetz0NVG oKtMb79nveWN2ZWuZxz3QtdVuJ711Ntlo5tUECMRstG9hU4LcwmxvI6StZYo OHXjVTIdddnx1BX8CAFv9JN+w0+zQ62va2mmqMRsA0WNrWwbKygNpac7n8jK CvXlRiTHhnYBorNnL33CDj4gaxtW5kJ1bXh1vfjhiLXekOmgz2Wl4Dmnq6U2 dmFBfuuQLpl5YFRUtCcqvSeaSTusrvM4SHu7keeJaBk5wOQTO6UciXSS9NXo bVeU7I4/VUrsO0Cyu0fhyHvv65PKmENN5qJTLmtJNZrrs1oLr3Map6NgN2VG 8HX2wi1MaV2BAlKhR6CA9XwC2mah3RUlpHakWnIVtFG1BVr1tMvb0Hy074GR 6SJK9Vq06vlOO06Hu/g6mz6mLKSN0XWJL88fE+0jakrmBZRbyoX+Zoh4ICkX s2WziZUutga6yMNIztupU2GKqbkiprMzXzJO7g8rJ3dTduCI15yzAi6oqoBZ zVoPLnJvVx25jp0KriNR1NQupYaUWXZqOKrUkJ5yrNSuYlZKumxpxlAHqGvv ATVqX/vwHbEmqnyR9fzLNZHM56fM11303Wb7XBC1XqM0cYsRMKeJn1/BZFLa VO+ERnrz/HVK7+qh3lGBh7oSgEbzuPyrJZOk+Dzss/cl5Y43Vl2urKHGcfVd LJwYrsc9sBKF1nMa+mp1DW3KMNEufH65L5JxWqrsZMpq2oYSvzw02F4HRWHo T7MBz80NbPjmFT87+Ov8Gs9+DmYGvcEDpJtraWKHfMx8aeVMx7rMoWVRYHo4 zbTQp4CqamYbTgEdxiP+enB5eey3urk+MZ80eeMTyS7lgUq5x/U3vGvcKeWW o+/0VLFXYUQlZb2rbnRPO64l7wHlYGZRh0EO93d/8blFJSr5UftNMBLUGsL6 FvOQqeDNCysq32un263kZkavnilfq1c+SY1yOGj0w5d503zRD3Afui+mAEMv WNuoYbTV20NFB2cVFVzkhYLFT3I5heuM51vO2VHm0aGO8VHqZd760mq58Nxl pfNWEKsX9dlxl3+WpwmG8wU9o612Kq9TNR6ubqxgMNqiRLnS2YsfWkaKtcVb v+vtiQahouhaVVqnFaRijD04jGskeqLOcTdDr7nDmSNzdirztXviHi6n3DR1 dlKlYEjVdg7eoPUK8Tjkc8otGx2gIdw7x7lpeodxCmZhiVJ9LHvJOxvXAKW6 +PQSFrF6pk/1WJfSZnbMinXdM5zscD67ru7jNuN8cW/lDbvsvCmnM/Rv6Z0k q3XpmXUNXcfoq5ytTta9CtW43LklsFekPxzIcZGlG2BnLVVdW6rmirQ8UqQU uJOXP0XXWrhMSKkK1VyBEo2EIR0i4DC6k2VEmuqP+dSZL66cvXDv4qBBcisf XUuQ7jB/hDCtqkAtOMuhFYjmRblpc7tduEapfrkUswPUIkZkB1kmN3dBVGLs 2BkO2tb0355MsfakvsuJgrtdoKxoKxhE2QFKD3frUXJZQcJhnOBYUKI3H7ff BEMTUPHBgkyXLnpdeseSmjZLkRoZ4VxeYJYa/pZIEX9y1dpIAVqdafFz22xd UN0lGXm4gWszlHEG5uO4gsh8lE9iPLjVxnrW82vNeX5+QLUU+yFb5OJPGgpP sdibP3pdDahQRonYgis9HKJUhVJnhWQYCs2HJytEDh5P/j21Q+UV01CL6DO/ bRy7L6ycOd7Pt7iwAm3j82ro4MtnG6pqT70gq3AYlAMY6dwN6vR8wBXW6Snf Tlf47FKdPirgmlZa5DgPr0WD+9/OtIkxOs2K80SR6Ie7wjyvSFLZ42LJwyqX 8PTb9kouoa1EkV603wRBlUvyB9Sw/YhsqsD0NoOAP7HUltzkFQjZojTSH3e7 K5kPalD5hA2Eohr7mtcgZ3ro3Q3PPIqb59vvHMmhhirm55FJGsL3BEUGSWlR q7/blWMlY4+yaYjujtvYs8uy82recq78prlb1wimC5FS6fZ/Mk9MhJzflkC9 Mj7dC+zTTSeiVNvpgT04e+r+YKsGSmmT7plYo1SebjeIlown1dG0YC5H8Wuv jjSKjNDmQ+f3R4l3Fy3txOw+qpjriKIlN0F9t6b23ciOI5jaby1RqpcsigUD Cc0ftkxudAedji2Hu2GBD4ZIDpdHdERT0+NuNSWSItcP78rWfA15RAP6wtUH mSR8WVODlsGwjawP0cuXnlvPGiMN+v42srSAjidz92g7X1PoEuAl5if1sY+b Tl5ZX1J/z5TRGcsy1HRTCvEMfMvEyzwNVgZm1LkzZebzZifuyapMd9ljFCic nYvdqRUQfYcLEmI9US1aEADl+tZj40N+mVYVyYatH3vgYBQAEbXnVQVVluZ6 SDpADVovuGHsSEEDSaNEWV7OXpKxFa5Nvc4KssVIDSmJkbgG0oowrjF/XyM9 E04hXIl26kk4pQtZrtmpk/K86nx5L+W/yFhcuLvTDoVoZKlrow0uy51kPliq Or1JB7i/JLqdQxo4ETt++ZNrWBfoK1+5WSNNSLNhMamfBeEuWdRp5NSpgFzT Zb5UZorI7897Xs3Kf1fmDtBB8GE0l/8FWv75C/VGHMFZpt2qOEvClm0qcHCF WTmGmy/izqRYJZqMlmXeFmV9ydvaGXHbkWGQoqz4p8dhiyinS/oexX0Q9RJZ t+UZqUALhy1W1lu2JC7cT5x39frbFoXinjpxD3jol5deA5qXDfanUn4cFiPn SyXICLRGofviwFdSyM9hPI82cHObXEqY65V5ssuyLJD/7HJ/P51WgqaWgH4p I/xU1EjD6Wq4cBlZgqRg5IG7kChTCHabzJJlWL2rYyY7EKZie+xpUQBSwWVq DZRBDzkjT+IozvSgwEPhrp69ujXKtmrhFkbZ9RQccXogKR7qKxZ9oQ4iSbVu bZrgyfUD7QY5HqUHUT9BWqIHr2YwE80tC99ud7ZlOnHlEWwLji+YnblwbS6s uPxBe18rOTF8h5pxa64BXbsLUNEfRQ6tGfS3ZUH3q2HQTfJvWQF20j5tK/XN //W1EY+0+9ZCdyUbSSIWex69uIKlnor2L72wgactQclfEEs+99lF/ftVRL/m mnTeeG7DbE9PTwb+LO81y6VUFPoWL/QRV5WT94eGtbxHfTSxrxME2rnk5o7I 3XF871Hg7nh2ONWJzWZ5lA5c9INk3wj80ZjytVer1Upk/5Oh7PNbWsEGLwrt QuYLHVugQwISexFOd51AgkyC+XdbJvlZR6mLwlub5RpVsFyLJd/PtWmztxIZ kQfN6KHwp5nw17lbhX1+owB2kJCT+zST+9ac3NPNpPy/XlvXpCkN4L0ta5/5 3Iogkaj8Hc8z1djrSV/XKZDmGtCY+dPf+Xgs/R7uoxxi7E246hpxPOSaMEr1 CTbLUEtKIO5U/CvhOvk8xyOGSb9Ppw7150mKQ//c0L3PzZA46jx8zdMSFcCV gM2F/Sezl/zeufr/i3ovbc6jVYSdnaBTwy22WtQ5KRypLgKIznLdEo15pdA4 dmsyCujNH4nGwtQBkUo/5mPef6H3vUaFrpKVkN5paq+0Nd3h5RjBBMjs8j2M 7q25qSzcfmkk3Xv5TaW85lMV5tULdy8KvZgdbmuViM+6OMtnzR8H4m3tcYOm Cs788hfPBbOWjuJUXq/i+F2/RcZi5pIRMbq7oUk7It7HZcmPR7wPvaTCAI3u cUqCuqm2gbqV3iiV56YhHMVV2QVS/mn7TdAKWQdSbntYW06Zh4vr1q2b7Vzb ZuC8bfbiucUkqYsxbLdq8db1Ia0wS6AcFjfUBEq4u72G2yUfaZd7JK2Qs79C nKyKVakw3AO7nRDAEm78FpSIg13FuqKLnZYnOpIslZCT728E40XqPF5k5rMr SMQ9gHfmpftiLN0/0lS6OTH0/R87NSmddEdBik0JdlT70QF6iYx7LvJ36s5b c9Ct6JnkRgfdNOYjDFcxdOsGom24y0BroMpOH414TBOV7En85D8k0p+x3wRl jyjBZmf8cAJHSDTrpRxlsW5zYivpZYJrlufWZlFoMx8kGxJcJMpUTykDPTJR rsktABnv4qfsSY8d536f3ZzU8HicInF283GyCqg0LOlPNR1pBDikXNqtPJIE 0y5rHkwkmJ5/BxBiYSG/+/m389HSIR8BGS4Ddr1RlYVzvLc1DTRDXDZgvAPE mu03vfemglhTSiw0KOtWmW24xKI3ynAFQpzyymhuV1IswZ+13wTDZVBma41D kMS6HhdFgqc76iLFdKoBMnPVQ4DMikgk1P6Jlc19Dx9Kfojbtpw412Jxlns+ L71/fTZQNiNQSEW0OGcinfIQ+kbQBl7oe9S5WVRNcKmFFHsaSjL90m8YVbvL Oxosx1uay7HEOfT8Owvk+C9+/V10xnzOTfJKe0CxwzYQPRqR0xLnRqkEMEyQ SzB8s5NgmqHiJrEFnvae4SOBXkRBI2IN9yiOXFo5j9OCCpyI1+ihZltF6J8e Zje4jTUP07GQnhpqmT2yd8fsu27Z0hYLo6pVzYSRDk95CkYG5S46dcGKchiU WKbeWfCXTaYRxLZBiLVXX7XroUKW5G7Xzcv0KwRimdrL6W2/VFJzdwTnZLLm MqMzn1lBMpkB62an2M41QMKYvGuO0qhzN7/3xTt6cd1AUTynate8lAmkruw5 npxQ8Rzx2sYRyOEplayheK4TlAvsAemaYyWi+Hn7jd41V9rEdkuoiITNPGWc H1/sOeYaPTZ0MGbx0GJoA5p4EsQX/MVDNcd4O64hJ4Ecjz3CpaOuVKypBGoD T85qk+pmStRL+pH+vvThjTV3PzJ1Bdm7JDeGU3aRKJJyfWM1SWJAMmwMBTGO wFgQ31tREJt0DGjzrprqYmR08yzKkNGl2r0sKkYtQEa5FaNdja9w/XMelCMu LfZDNI9cIJFfsN9I4oS3zNYK1T0eOqlkoUxxOb0rUkz15VKS4HMmuUj6pMjF SGGSAvyruSth/MjFsyylUaJbhUg20U1DYOmCjRNdvt2bkM/1wNB7XL9oJHM8 Ws2I26dXaGOsWz6L46LnK8rcQczlamSRNrFOkMATaVP+ZA75iMm6bY7Ip1N3 nQpx5Q6WPYC2NUs4UiJqX7TfBLkJrqCxJvhCoigq8RPJBN87eV0mYXVla0nA 3B0CUgylhctVUNAoL5Ivg2y1cJxXinw+mftD/chhQWyz0EW1OpKkkYSJtDlg S0MZq6nBAkbGZo73NTykrXEbUiBetHEfrChh8QheR5fuicwrSZUyr4pP8hBU 5OzRwLzbSiBNYu72KDVmQpRAuEPzinssCoTs79lvgmYKy0XnQ2ny8QLkcnJF d31yo/271tc9aNWyypyUZUqsZSZUGWipedJ60rabz5NgofpydrkpC5WfTGEE SwbP+MkVT3SkYb2okDwXLyyl68ymPWCtzCSqKAz+SEWJ2h8zlKFERWVp2yIi x+WfqiLXHRFyFcfAuSrPbbggbQ+mJw+ViNbr2UuefLSZbM4lnUpUCJF4k3ms zYDLxScW24yom9FAyGUzrEi6siGEbA2bQFbqRxD6buy0EKxIul2nGZfBnNOV yC2MVZc/u063aEcVyXUuoLxwclFQms/cq01utjSLTV+sKFzo2vdIuFQhV6fi WKTmsV1579IehmLTO64ArqjOkdiVTlC81Vcw1rNApr5svwnYwD6nsElmE1mm lixZwvcMUZ7y4pNLIpPHbWDL9NWdXIWfhuhU0/Jz6fkNnGu59IENSRoaO+tS tYZ9VD9lhUfuOGTpSVl62rIki+orZimyiZaaqyic+dRyQqcLHp3s3UowT+hj SfrzckUJmsJXf/eBmqhOPBgDsXQ+e5L67AnB00kFTzFFl8+b5EZhdAKCo0/z zBlFd6BEjn4q20bvWyFWebdVVgatGKwsMXd8QS2TqRYvU9mMdK5JRbDEQ+Kz DF7Q/5rCCBFEiUbA0kyu0rgJ9me5O4/k60nXt/4jxqe/M/LRbfdkcWbuJysK 1D7c2NCnbIiqL+qMCApy09ub1hfZoiHJWpwsoMvofQRJ8eeFBEWYtTBQJL+l HmtoFrK/RJq+yo+NwIkiYaG9GuJ/LqbNnk5iZndbnStKZ56/NjNiNP+H8756 nG4Kp4qcabeV/2kkMi05UsGVstWikoZU41ASVHPOfHL57GjvxtnOzk59E0Zx IPe5ikIyiTnVPkwedOK0bQw8rh6zSdr2rig9QLfiaOxx5ZheWiRnm/nbOQqh TzNarlC/TFR+mh/r2imiv0ftVmkpYXKL7NepvS2zF25cIFASuzgiFdJHT/0g aVjgkpMK8yX3eF96YWNaLhXky/zcKhIKMUfZZUqZr9ws+vrCHMUiKkzvA/H9 9ii+p96ldhWPk6ergUMqVYzpSe5WwEH+jfZ5CDikFr0dpDv1z5X4vh/MYpou kYOfsd+II8NbM2lhhITgVKKD+xXMcN64IIMCsh1hT2p27rEBsflwupSAjIZB gixqqkHT4e/vqjMKXLgjzK80wkOPfVg59NcrHvoEJhL7MKOtfdgw5A6bSaP2 ArIPNOP6Hnf0UrhhQCLZoQIphwRJByhI3Q6i7j5A7Zjjnyo5/Z+13wTuxzQ/ t2hLElM7NMrgJmMkPrTUdlK+FKA/e6aKak5iY5D6qk5fy5wpfBrX/Li6n5lX I7/TVpEU5zC+6k636dQ2fezj+LKjviguJhNgzroTx8XtKpcR9qCEcfG97tjp alWKi+MohzSeGD39eS4udseeBcUB+OfK09j90cPWgrobd/w/Fx4/S8hBqyBy /DNy9D09PbPfe25l0O4H4T3lPJYtYuQRuPlzbglqu2K9/qHwiGF24OcqKvUY Dkz7IySn6HA7yPxr9XNdeJBEu1dFpaTSKC8Qq7Pk/LeDqLQfz1SYLFHnr2cv +eM+zI+N4Cwv3GLU+CPLYpgmhHbF11ym9zgRr3wvXf4I63x8M68wLNOH/3+Z LKHCUT+L5ucrntyoOrnnz+yT3v7+IjgOG5ON8rQX5Bh1QHhfQc0GnbMw7e0g 421+JELkfhAQ/oufeXSi5Ajd9og95u+O8GNU+LySZzvNznx0WXCAHmPtLdvZ AdaiA7R29uJ7mHVM/oZ/RCF9Ta99s+Lh7cXBVz8gGw2caQ0QPqgjoq917oNK wST4uq/Ah9IZuQ7AB8WI6mjGflxtM15yct/IFCAuEAv264BVyPxpnlhoCWYa dOzKwN0oZHGYI02UYpWZl5fNXrh9obB7/zk7yyLi+BcrnuUIjpH6I27Pweh2 TM60NyWO6/4OEOcbvU25Rq5jAXLH7ZicQXA6AKpPyo7zjew442qpYMsONzlO GkSaK5378srYICZ2OL05wpmO1TX6hP9En1fCy/5KxbMbLpgZ3a+oNZkFvwPQ IB0FzCz5NoSXVKdxf+TbaAzVzGwHoEF2RABKxcgDIKodq1IylKTUQTiYuMmF 3E6oyoi8ZTwenpxVwlsNpL7I9T5a3WruqJymibvyF5mMFJKg35nTceXizkLY zNUytGMeNGauyG25H4CnDOOg4VDCg3ZEXASVM2yPmCsHngMgBh0tOTUpTDQP v5k4T8KN7/6tRNKAieecxe/ng7ypifrRpTrZ+ZGWfTXQsj/n/1dMNf7jisc2 hCPHGCFd9mMHqAjoAFSjHsslYePbC7BRU40doCJgRwSMJlhwOpYLG/eWHJit hV6w2jz8SWK99t82X5SK/Gfue5rDTq/LNVVBocot/Jwa6GUPTB/Vhdu8ln0/ f1Q5wu+fVDyqQRDtKanVaYYdIKneUdx6rUO9B0AKdBfg+bRj8sTtw8zz7QAJ BnRURuBGqh3VS+5YfikR3sT+/Svuec4i28br0OTdys+1vL5y5Uo72fc2A5Cf WEaXW9PR/V/8cmnZwz+teDwDqtNEJakHMGmvt8kF4n47JRLXmqT9xgcKoE+4 N+Ly9OcJ97YDk/YDIBI3CxmudELpH7qT2JO9lPa55/j6GK4HYDt2wh6feJoX 3Dum6dk/yQ6kyPn77YoH0o/jZy2Mqnh+Bwiht4EQehdgxE5F0EbvQCH0tiiE JkZsB+DFza82gKPooZIDsc1L9VVu8/9jYikJ+2qd/vnn7qXVib/TOWh1utk+ F0xM/mN+LCau/nnFU+nDLQ2DoBR8ByasOoA/vgug2IMgW6ENU+whaMJqJ0Cx QZwmHax0JOmQ2/d/yfJvn/s99xxn31dlG+9jsJvAYfzv4WFAiul/rHgYe3B8 NFiMWUhFkPXXmPWg8rBjzJL2KLL+SEXkMKQS2uBVMgjCooonccDt+vfUSfym e246caoRM8s1cBJHwHP/W/Z/C6mkfznHE4rc6kIQy1FJMY5pTdA49qAyLEIF dkV2nz6pA1NJCMqMCOmjkqL1gbkd1W+po/qn7jkOXu29lUHW2G/7UXA8f8CP pVzRv6p4Or3qdJ7+YX86MZhRmLizQHk0xbcLUHynFZJJxmUXoN5j5SGiaCdI tg1G0kPW/tUfO9pf7VBG3AH8rjqU33XPjdN3tlzZ52dlo915BBdO/evsPIpM /u9XPI/dOJoZxMSr1pbzdwwibRH6Tg9LlRToaZAQ2RWRBnffdMydSk5bYlQj 4nUQOMpf+/AdfdUOZps7hD9WB/N/uOe4tXZ9phGzojHoVMguldE4/67ikfTg amC9UlWmoLVEmm22YVIgBjDqcTgdecZkjbqAyd+meCFhVHcWoVcuR7WnmiNG ZuM/uiPY4F+tU8U1UQV/mdisoLsnJrA4R8DB/E/Z+7zThkibP6p4ON24sHYI FAvsjBibSFl0vUB8AwWZEmNeHgZ5412AANiGydGdit8TIBuKq2pt2NJbLWz5 BXcwz2YvpT/unvsSfeeuiwlqkg6xbtC3/4K/L3bE/s+KB9GFY5UhDFxISzoL bLxQnWRLHgFUZ2zjKbbfBqjOXQCy9K+oApXd1WL7MfPwX83XXyf2utpu80VN pX/jFKSf3rU5+xhvyA/6Y/id/DHkKJb/UPEYduHgZCgiMV1CPVYJly9AVr0r comJwXwEhPHyPhreLWG8nKy+T7gJWA3h9E9PNRLzKbfx+g5COpwflbdvse8L BnUf8Afxm/xqKZ/y/YpnsRPHJsPAt9oVUf9aHzT1r2+oWtt1kH1eOQUZRaJ9 Xh27dyqgi/VBQ9IwCEzK9t+W/DVoXulzTjcuJK5w1k4UKK+yHffn8OvZORT5 VP/PHM8hikAKoamJTjS52SjVliI5A8wEsuGdgNhHADUMwo/ukgP5tXDT+S3o tuzxbA99ZMeXT5WQJX9Vce93AH9W7X3kPMVqQMa0E9jnLhBinAGUbxcwzs3V oCkYRd2hXSV7b8W3rqdM0d5Ngq3+R+FWQwv8Xypu9XbMrjeHm1zyCllgjfsS N5xRFphsAcUX3SDKLhJwHc0NY3Z9V8k+/4b9hjZO5DNBm/z3izeZ3zdbcZM7 MUc+jLGkSJ41+det5FSM6xlgXLsV/EtVDJLnrqYokiPId5ZsskseBIUVE/Y5 j+b05838JuecmP9k/9/j5jk6gJfpxy2suPHbsH85jB2bEgHXJrUb0EhnAR3e FQXGdJbbmwp4DkuGMR2+o2T7v5dtv88KuULKWb1lfeBIfoEfS83oX9v/+oQ7 lVceza5dLz2VDuxujoDwq0spvmReO3FGD8H7Y4BB0phD/528/iJ10IMFRyIu nC6pMOexveQ8mMfjPFBLxVPgyqQSKuK/voUjaAdHYBY4UoRIoWKYbUNGtjuK vQj5HwOxlwYv8fiRYmgBkDIT+S2jVpvOklNwCTQ04S7wbtB5fC3TqEIGQlXD XtnBbMXu/whGLKQe2yN7rHdbpybkVGhymwzd7FZwRSODKALYrk6Z2I9MN3Jl eFqDpf6n7FT+mf0myP8gR78ve26L7LbtiCl2hPhEWpqdSBu9V4QAnUPk/scY RQxaV7F2aJPdo6R+U89hNtmPAZPdEzn+hFFF2qELRPaCch62g7zMViu0AQC5 k/idTMbj/M9FgFfBSXw5fxI5Q84nsfAt6Mb1mOZuAlqxbpy681a/h7rUoAeY 8sdUdExNYPHZEWL96CMPBLohdqNb/VxynTViRUU7HSW6YZPLdU3E0b8HwAHY iR+lLITq2byyM9iCey9K8EmphgnumuOTtt3ngDvVDRiKHU31IlfpNoJJ7faS Y/jd7KWLbl8TdwaBHn0uO4Mi1ylr5b/CM9iM6eu9IGbrLjAQCJg0ZXoOOE9F wISUQJf07sWzILaW7L7lm0MD0Q92n7uMncvUjIHgrV/1Frb+Ou03ZbNV9dJy EJSzDNuB39QDLPQ5RU5IJUeMQnSgWgNkdFV35DdRMLdXe69ZNHF9yQH8D/ab wC70gQNQFyIUziFXh9DyHfPCHeYtPzQ7O6sPpOp5bMKhxN6Ig3FMEdKGGI70 Jmva+hxwYnsK4CivDbk+sL0Rbe3m924pOQ+XDQvSM73gPOwNXhUYDJsfbfm+ e8Ovmq8PuX/P5Sw2Ytd1FJQ4dRcrhkam3cA8n4tcV6KSdgOuVM5Cz3TrBuT1 KPBby07hf85e8t5RT6YB3nf9WP4UsGfksm43nT179t87TUhq/Ji+ore+bY7H EXmwCKrMvhSphsapouPQHuxuQKLK50lujZznHkA6jQIPdnPJcbjCosBKOOc1 SCVvB0f0Ibuvley2HSHZuPZR26Q6q/SkshHZgP3YQtDK6QrCrd2K2uB7Bc2x yOFQn6Pcgbtb4Za0Le9sqiu5Is29wJt99ceOXldyRFxekdRpm7U94OTNDnAs H2h+LDmb7v7/Z6/Epq/HLq1IoS4w7ynQEgRa2p99EvizRaAlQ1G1lui6zFHs zG4qOYX/JdvpLMfT7Ajez4/FSR3e/277n1uffPLJT5kX7yJUq7r/6zA7PloE VE3VgbBKCjKLTkE7tQirYnUwP86fgppVH5yCKsXYWHIK/yp7aVZOwR1AULj3 7vAAmjMcKoVRuNlrMSM+irGnB6QidhYAj2b9ngQOUxHw5OU9N1R9VEX6yoHd ULLZ/zrbWB8zbweb/Wx+s7Gp3l9xs9dg73SsKbJkYk1yZ9AAgUsv8E7jzSaP qBfEalqsXUEeBJcxXPS9vmSn/00ILiyenWCnbWlFNbbiUMXNXo3dz7GImXjm rn6CEVm0riXaCdihXoUN5NtQud2TwN/pjeIySrJpyZZyu56ImXA4MqZcHimf KNvs/zXcbH7LNrDZT2WbXereHJvjZkfOpYYR1T+nF63qs/X+UGJNC632L5+M XBh9LjqxtjOqoHMCro9aSNJxUB2xrmS//yB7ye+PY6oDfnSTfS5wO8/RQxVy 4qaKB7AKl0ggaNkdlWCTqO8CIN6rvEciPTtOPJ/8CHBa9Pskaa+PUkqwd0e4 QkToWGRnHBG6tmTr/222pd43QdQ02vqzmZqU0xInKm7/ythntC58Idg0lX8N 7nuACy+HsLLnuPdZtJ5IUl/kP6q4jiHHkaFjwIs30rSm5Ci4sS3rZJPt4w3d DLbfVlNUYCHurLj1K7C7OIahJxZ+YqB3qThU7jbqBb7iU8BXRLijlSkWfgEd IkDHcTHF6pId/3f8WNfZfNo93mz23B/MbzH2W+6puMXLsZMooEnul4wf2A2a 1Yz8FeEL2mJNce5pii850dYQI7mW8cgjd67LqpJd/sNsbzyLdp3f4vv5+2o2 9L6Ku7wMe4fjEYa40QFFgqxLbvcAV/wp4IrvAQASCzJ1oe2OuEuHHuPYQVxZ LZVCd/XRXvGo2eUZangw3+R3/t7mO58zng9U3Pml2FWcAMndEvkmCJGaoLnu PIIQ3YzZC3IoE8BPrLjnT7g95/u7V9jnArpso9/zu/jVCmH/6Yobfi0/2qEm dM2ychm9vkbpW5F3kjuR9y6AKlV3vQ+gSizv1MjfqyBFCMkJ4C2uuIJdd43H QXi0IdtCX3t4W7j/zaP+M3Pa/5y3qKFGCmrNHugtkCb9XcBX6Zvj1usLMHYp vkaa9Hsx3TgeWXbnMy6/ggNwLa5B6gSxxCvBodycPxRsZc9VPJRrMA0swqbT uL1KGSSP3gW8mD4FLbT7lEV8CiRL+gAEyefp6bW9gBqYwH7jsis4DnsDhy9w k/8h27sKnIKdAFSNOUB3ZqKDWBI5886jnMAEZC/ggBEwzfUs9AzRLqUdkkTc A9jHCeBRmlUsvYKzcC3F2iJ4lViVqY0Plw5nB1HqET1d8SAWY79zApOTvZgJ RkjVr85iS+8ReBbTJ97h36cps1gvKDHSi/nJCex6XnsFx+GaicVUCGKhk2A2 sqRWlI/hmYrHsCgqcqCUqEGjScAt7AEEcReg0forKkM/oNFiZSC3bA8Apkns kl5zBbvPRrl2McOgYMP32ecQo5AvBq16O99C7JNOYkYhln3Xb6RxSHq4+wFd /BRgMPuBTegGScFezGBOAs/0SrZ+Y/Z2bxNWgEMY48cKvML7Kh7AgvgArI86 iXmFPYA/7or4R9ftpWW66AAGQDtql+LVYtnXfOa+yEOl3V9Ssvu23rOFJt3d kdiqZX0SjksLsiYuVAsqD4fzB4H9Is7nNuh5NNR5gfKGVHjQHHQyCXQxWVcU DfeO3en3VCb/En3/FKCTBwDuaOGXXEmMO0Q4BHvvyhXYkrX5zUoKCm5bvu82 /VcTW4ogB+AKQoJoYRk4AFsMVzpJn8/ghYrK0IZ90xiNHDexBzDM3SBC1qch 5P5ToNR2oACKNMMcC4LjJiaBh2qizkWV9CElBv7fJ2E78CuJ+rMpPBf+KFSx vhCc1e7wrJoNwOef+tGKZ9WK3Vctlg60gg1TbEY3cF/RWZ0H2QBtNqQGrltp otMe4+bm2Yx92H1dWHJQl/ixca15eN0dlDcf19vX4pCCD2ax/ZBAFe2kygpU x0sVT6MF+7D7AHfaByiObmVDpvcOycjIAeWYSm4GnYa2IeLAdgOWow+wHPuw 97qgmhH/rD4FWyVV17aD/kYHsD08gOZcx6sVD6CBadV9EXQ5rqMPcB3dgFYd nOMBIEOiuY4+XBK6D/uwbdXOgOzqp8wX83dRBz1rAzoA9b7C0V18CFWvcqpj b3YKcBt9gNvoAcZjriegjUePUgHhNvpU6CKFoFPAiS3b+78M95nfYh2cRmAO EodCFqFKZ3Hxdle9FCkt4Ff3YRqjL6IxqAGvB9iBK9l2oTF6IsEn0OuPaAya ajcF+NXWkm3/q+wlvz2Ngm3flG17KV/xxTltu/OSjO1yW74vChkcXyE7rpth egBZMQRSwOdBKnIQkBU9gKzoA/HCFOZUW0o23c6pRy2UjQBTZNOZxahCTXy5 4o7XsF86BaKEfqXfwtP1AGpirtutkb0H8HT9IESYwh5po2S7XZN1kKVJC7Zb TXAsJya+2nTL2/SW81fkWk7hMKAPEHJmp3uU5y5lPnPddA3mu0G7Sx+OBKaw g1kv2ff/N9tH8cpdmiC376wGNiyuwEV8remetwZ7HjmPyTTw5fsB9bYbAPhQ RQAfiugH+iRth4V+6AeO/DR2HdOSfeYrTNSc/8LansX5TcY8wxtNN7nFb3JE bU4D77wfT35DiD08xy3WiL0bsAz9wDufxp5hrWSL3ZAAHdvAojV1HV9pXuUX mm5wgzc4ukLG/+ra9TZK2w9Yg90KUAWg0e4i1mAYALR83qk7b/WsQT92ve1v 2YinClhGvPkGu0uUeHMeLeiarmcbXOp/vNl0g+szf/TL5zU9uR/ULAxEMQ11 FcTIQCA8XJGOGS4AYR3iDyhkEI96v5rV4Fy7Eom1Q3UaAe1l/mQoUSVa//sF O/jNj5/U3to08I+NEvaDsKQXwKuWuiKGcQTA624Qlsgm6qnP+pCdp1Ykkpa5 smuWrREZax5f/yOwZRYV6jTg/vvvuHdYpkNphVYJuQFlkajeWcuJhsuROW4Z gkvtcQ3guoHpvNM1nXharunGuVmloqCycfzaxaZ7lNJNJzMfeniYwXo/8EcH sHe0G7iksvCylM0IQLxe4B0NRC5pppgpi705Vr6opWxr+OF7TVUrnTEfOeu+ kthJdJmrAYX6kjjpjcJ9AqcRBTrNUrbx+wSceoHbMhB5iC5tdYB+yzJdmtO6 4+jP+Wv656saYAQpeklFydK9AFJ6lTshfUsDUQBIHtvVWnfoQw0ChrM3QgSa PLl3jivWiNCrwgvpshiMHCiKwfbP+4rjbIjzawYBpdgbaTnBYNGidfnU3gIt 1+Z3sMCvuQrrDn2OQUBu7AFqPddFa7Xeo3RFiOxB4HPM/4qlsCOqURwEBm8P UGhZDCqU05XPowUKrcnjIdA0PTXvi9Z1d2LlzZYPYjsWqzVJ+Ogc163Veo+y Y+IbyY/+5vtu0IZ+31Vaemi/h4Dh2gOMtyymrMx9FKj1nsi7Ic0aAsZ7/lfc pHNlEFstpNlzXbfW7D5gtQYxpTN5lZYekitDUWxKcNYHNHusoF1H81hjQLP3 KMMlsekQIFfmf8XS2q7gzMQxeau1B+j0+BxXjHRaV7kPR6b66+85YOF2Xles RxaoSuchEOT1AZ0eV4tZtfMAUxBPqkhZJmiPA53uA0A2hMd9jpes29HvTydZ 0jtptUFLT6L+8FPfddvwSLMr1fP7Eybm9MkIgd4HFH88ohF0i6ymEcYLFF+H c8PKqopJ553Rd6PPNN2e+pTaHkrOtfwpv2dnsx0qFR49Nkxl0IaAITRSjmBi HES8qKt1XBlMuQa5HwR0skW6FnisRHhsMqH+Xbd60pyFshO/VXEn9OBcldnS JyZUtP61XSFcIAHi/D0ZufkU104AtOwDMd1wFNhQZqvaNjSozFDu76OR0Cu8 VPzmnPYi9BGGcVlmH8DRiQp7Qdo1AXC0H5jL4chNoJBntGQvbJ6j0ZHY5mZa PnXwd/i9qAqv8U0RznsYjqwouUz9AF4nlNjHgzq06zAB4LUfWNFh7DrsLdkO OzO9QVm033Y7QHczjvjtKLoTM78doUcxAkjZfoCmk8C+PgHs6wRA034QFY4A j6JsI+zV8g2Ch2+7tdP9iRN+I36j4kbIjWDa0RgBNncgqlumCHBSCb7Q/ueA WZmMNoKETH+e2NyRyNGgoGmkZCNs9qRB3/2sW/ufJa7IjDfi1ytuhL64Tvkf I8DEDnjgPOTtxySwH/FgJ1KkfQA4+4GJHcGM6XDJdthcR53KLH7N7cA3r2wn Qk9jBIeU/RFskoclKyRqVGAzHgdHJmQfgM0BAJsjILoq2waboaj3JpmPUZen i2411tsQXxDufIoREGQOKK0W67EPWA89oVCsxz6AmAMKMYUw2wsciqFq3ihN D6TRXjyjwV2/JretbvXbVXVf+jB7uheg50CEnqQAUwA9HweWRIuRoOcAQM+9 kYdB6FltX/jWWblqe8y/Wu9yT9G7Wq5sd0KOdS/A00HQBxJvDeGpbI2+dGYf MCz684R52wvwdLCS87Xgo27ddF8b1SqSw0GTN37fPf8VLzZVUWUPpmL3RvhK RW6DwD+fArYGzYCeBvg6APB1L6ZiByptT0piIZe0mQ/h56g54Fp5+5xkZg8A 3L04dBkAfuo0MD2PKdMTb40G3EEVA9x/uItDl70guivbF+eY0YwzmtFFlwzS YLRjfi+qOma9GHX3Kh9J4pdB4KeW7YWY4WmAuoMgfhkFqNs/79zH7iJIzdW3 DAKfdBpYm/j6gPh9Ah1DoL4lRlWK267WukOwHAURyRAAhHjF+hqLdSP3NV2x /jwdkYwqIJJBJX3zvuIejIKjwHiiRe8HxvMsMJ77AQqK2LznyTOe2hvFKLjn Kq07hDhZtE5IDQF8OwDYqzMA3w4AfBtS+CZhxqjCEsG3+V9xN6CkzEpHFbhK QmoIANkBoNBngBd9AADZUGTvSLzHQNFK77wvuguzT6MRkDnSZQgA2UEg4Y8C CT8AgGwYRA+jyvcSILta6w6ZpjEAZMNApw8q8RaT9QgQb3mfZh6HAZCNRfES AdnueV/xrgjIXIHxGACyYaWDwjMeBOL9CBDvQwDItLoIkI1hPqnnKq07zKyP Af9+GADZYSDbDwPZPgSAbBgA2ZgCMgl95n/FO91JR5n1MQBkwwDIDgPxPg3E +7ACstHRaQayYQBk4yCo6Z73Re9Q4q0y62PYIxsGQHZYxa9yXcRpJeFkyQb3 v92/TwPZCPDIxpSpVoRQ11VaunXKBMvGlYRLsnVEYY8wgoeBWp8GpEe8aMLG kQjLSMLHAZbN/4q3YyyTH/7cvYM+NB0BAH4EqPVDQK2PACyLJZz8onGMZbvm uu5qecXtANDGcfCpxZKAnLiIIyAuf0hxFlJYfwRg2ojCNMmbjQPnjFeuU4tB 2fYVH3sn9tDGld0Wgm8EoPlRAGwPAkbiKPDQtKwLsE0AD23nvMv6Nuyh6RNX tnsEALpeD62bSl8fBCF20brV/F+/bgVsV23dYag5AVBtr4Jymdl1FKDagyC4 PgqgfK8CDEG1CYBqO+Z9xR0Y1fQPF1TbC+zXUeVuSsbvQYBqRyO3lNRlb4Rq 2WbnUG37VVp3CGgTINQcBVB+TEG0VJE8wIuue512/f7HAJrvBYA2AZy0+V90 O3bS9A8X2mw0cscJxY9FOk0S/oAqZxedPg5QXAuPYNkkcNI6533RW7GTNoGx bC/A8ONKeOWa9weAkB8HWDYaOWn0Qyewk7btKi09DDgnQRgyGgE4LfoGwKfc DzzyGwoWreFsEsDZ/K/4egxnkwDO4kWT5N4AMPz+yDMlrL8BYPgocNImMZx1 XKV1h3A2Gfln7iqKUQDjNyqYEv/sPoBoRsrR0scApTIJXLT5X/cW7J1NKu9M WJUxgOQ3AkS7L0I0Cr/kfVQTS2hISjMWRSK05fuAd9Y+74vejL2zfUrIhVUp WrSGs/siOKMw7SZgu7TSCKuyTyGKkGdXa9Ehlu0DBnssAnAqNrgZYNm9wAm/ GRiuMWUIZRLDPoBlW+d9xddhLNsHrHW8aL0Ynfq4V/mjJO+EeTcrHRBKZSzC sky2c1h2/VVad4hl+yIsc/I9BjD8lijWpG7Ye4C1vjkyXGQTxgGlsi9yzQjI 5n/Rm7Brtg8A2TgAcFm0Lqe5G0j4LQC9xyMgo2nxU6AzZcu8L3ojds2mlHrd NDXENzSPAyA74Razc/AGT6ncBaz1LRF600ibcSXhxyZHGMimsF+2+SqtOyTP pgCWTQBO/AQQ75ORqXYifgIA+DiAsykAZ/O/6A0YzqaUeglDPA7g7FZgqk+C OxFvBRg+DuBsCsPZdVdp3VlSE/1wB2fjAM5uVRpL50rW+iSw1rcCP3wCwNkU 8Mvmf9HrsV82pVwF4VIm1OHIjX+3AYN9Bwg+5H3TJ97BUEgYPhHBGQUf0xGc UYHGpnlf9Drsl01Hfpk+GY3ht0UnTVzKHeqkpaXyNoDhehNlQte0sh3il12t RYeU2TTAskmQCLhd6aoc823gmG8HK55UQCYxh95pqc7YOO8rXhsBmavO0Nst jPAksFq3g2O+LTpmslq3g5hDb6KUfE7j6owNV2ndYXXGfhBzoEXfEZ00Wa0T wD+5E5isCYWKQgfLz9XVZ/O/4jUYxZB471NQK9mMO8BJnwAnfScwWZPATu8H 0eX6eV/0aoxi+4GdngR2+mQE3UT836xCajnpkwWL1nZ6P0Cxq7XoEMUOFMh2 fsV1z4G7otwblVO2ru+EGOqTwE7vi+w0/dz9AMvWzW3dwYxuvdpVGMHkR1Jb dizX2iW5Sy2BfGyKLG9UfrdElncVLFV3dOzHCMZ4UzZ7e+5HvQrA2AEFJyLc +yK/hDT1bgVPAmPHI+ebBNqIwl0qIhPXZB+Q7wMAydbOu3yvjE7cFczuV36o Cqv3Ae/kbgBmxwGY3Q1s9RTgB2XdumZ2zVVad9jBdSByQslQy29I88XEO7kH INlRgGTyPslt3X3TMf95OqY+ECEZ5Xjmf8UrFJJJq9ZB4IFOASt9T4Rky7fv JxE/rCSc8l0Oye4Ftnpf5IeSrdY/XbiE1fO+7uVKwlVn1gFgq6dBbutet3QS WwFxs/SDILI22vDDYOlTwGIfwIzCqqu0+owdJVA7qCy2OKRTwH7dh5e+Hy/9 PmC3pxReCK7pU5eGrPlf97II11zDaizwZLrR0t+Glz6Fl/42YM+mgek+qKDN 0QoWiK7C0kNoO6igLZZ2bcHvx+uexOu+v2DdOsWnBU4Abv7XvdStWznlyaHI fpOxnQZG7O3KKIsRm1RGjLyZsWNn/Pu0EZsGxvsQ8MhXzPuKr8U06UFMIk0r 0yM9Yw8AUzYOTNkDYN37gfE+iHFt+VVaesiUHorsNwn5fmDNHlDWTKrujJCP YrJUlq7D7f2RFSchPxThGvnl87/uazBZqn+45LH3A2t2Csj5aCTn5Kw9COxY LOdkSg5hsnTZVVp3mPs5FDmpLo89DfD8ISDnI+68lZzTHj0I7BgS9UMK1MQ/ n/91L8FMQyzqZML3N113TtSHgKgb1X4I4DkS9cMA3ZbO+9IXR3wDbbLZ7MPA Z90PTNlpt3Ql6rT0AbX0Nf23i8SfLli6rkM7HPnqxDpcraWHrMNh4LAeAKHo w27dJOoUe7l19/G6G9ZXN0/Rup3EJ6dBSHpAoYcUo+mtJ9Alh/3aeV/8IkxC 6J0Xr/UAMOWPqPW7vAitv1etn1gXvf6HgXU7oORerPphzEdcc5W2IKQijgDX Fa3/Ubz+nkjl3fofLVi65lWPKEdK0G7+170QsxFI9A+CtMEZpfLivRp074qA 3jESZ8DSD0axGqHdEeW1CyGx5CotPfTajygTI+wTWvfZyGsnC7d+7IGdbt1U 1EHrppfM1pwFJbcHgQ97JII68trnf90LAC1xBDuwB4Ev91jETNDSV/fe0qm0 nZhHtXz3X0KH7hBIiGqFE3pi8byvvw378EeAL3tIrb936Civ/3FeTMMbeFJr EntycK7nTWjlTSAZIAdPVH/3xD28GeeAo3cQmPwj2LFfdJX2IyznOgq820PA u7WLaeGTJUNOJ06LJXu3YeL0Rt6PBbn9IFqakJLMAf032tcngBcYKwmh8lHg 9c//prRir/9I5AC7RhstzJJyepIf23hryDLQ1tC6aWtoH2g/zL6sUltEcFm0 RU+BLToUeQ2ZHuVihIWVd+mX7NNPu8n2zPa38mPao3euMafdDGOJowrsxKE+ BBzq87zoBaxvImJkT0TvaD9pLykBcG3FzSQIfxr4n4ciPdS/p4465rqT9Snz JtnJvzRfLX/Km7nzsccem/NmtuAA5SjwVg4BL92uexHLJZlt+iKZFdUlPKd9 VTJqpLj5vtJZ6H19Z8G+av/mGAhpFlTe11+2+/pdt6ffM29eaP5eUnEPG1Gk 4zKrR4Hbcxjs4TO8xoV+D0W/m8hlbQ7b9+MgMjgMIoOjICya6/Y1Nj788MN/ 6ETzN8zfK86dOyc3GlbcwzBkOqaURUKGwyBkehev8tpSITSORW6naLNpp94N vMnDIIY4FsVQZDDaKu/Ur9id6jh9+vQfOGH7N+Y/0Pf2wpA2yojyVTQLTv0x bcj5+w90nn/13OSpSz95d3KUH9NTP/+eo+eP7O09f/a+u5LDpz75fvNLnnru 8YdPTU0eODV29Ezy3lN3P/HFpO3UDT/8gfMdvYde2bht6FvLN+z41jVrt39r zXVd9P2pXSMn3sdvS8/feP+H6NtTD508IR9HH31+cniQflRyzP5Y+jXO3zPV wb9YGz3yL9paJYlr73tprD579uxvu4X/ifkaof+0EIgI/6cd9gW6+oJuOFnq X9hVZa//gf2RpMjfdj/yz83XBP2YBc1+JD+crPLx37Efn548efJnndD/mfn7 errmqu2tf/w/5O/rDfMRv+Y+/pvmC30yWsyLzX6Db4If3lblF7LXz9R73T1K ZHfq73//+1vfwi/kruwNRgW75y6C9839d3aex/qHHnro98wb/y19qEzAcyKx lYzmfwOLsOPq3C89Zv6DjKujq2/MU//ZPNViZPHv9FKsoVjwUbeMPzJfd5nf v+Pxxx8/YeTq993zX6EfVlXS14Hn1oOFFDz3d+nzLoL3BZu6rvn7ZsFzf+uf NwdBSElgf0FCgroNCX7VPF4rP6SqNP9ACP4bFALnE0waBHjWfOCnzd/vNv/h WDOf4AcH/9/JwRfQJn+XDuMHh3vFh3s4iwnoX/zdefDcHeC59X8L7ztIj434 V48etv3g9R+8/oPXy15Pfuj/By6PTCs=\ \>", "ImageResolution" -> \ 144.],ExpressionUUID->"6c778dbc-7027-40bf-9c07-f5679e383ce3"] }, {2}]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags-> "SlideShowHeader",ExpressionUUID->"9013e465-f06b-478f-a26d-390dea6bceb3"], Cell[CellGroupData[{ Cell["Gradientti ja Hessen matriisi", "Section", CellChangeTimes->{{3.757298305306286*^9, 3.757298315498081*^9}},ExpressionUUID->"ae7ba53f-06a9-4c21-bc59-\ 0e234f6c76be"], Cell[TextData[{ "Muodostetaan funktion f(x,y) = (", Cell[BoxData[ FormBox[ RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "-", "y"}], ")"}], "/", "("}], TraditionalForm]],ExpressionUUID->"baea0187-cf86-4aea-92c7-a44a0a5b8c6d"], Cell[BoxData[ FormBox[ SuperscriptBox["x", "2"], TraditionalForm]],ExpressionUUID-> "aab1ea86-5f2f-4d12-95a4-61dbef42c43d"], "+", Cell[BoxData[ FormBox[ SuperscriptBox["y", "2"], TraditionalForm]],ExpressionUUID-> "2d929cf2-b1ea-446e-a78a-b85cb481ca8b"], "+1) gradientti ja Hessen matriisi." }], "Text", CellChangeTimes->{{3.7572984290181713`*^9, 3.7572985167521677`*^9}, { 3.7572985559257793`*^9, 3.757298578219475*^9}, {3.852254238126494*^9, 3.852254239397463*^9}}, Background->GrayLevel[ 0.85],ExpressionUUID->"611e14c2-9418-471d-85ce-9673e724dbed"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"gradient", "[", RowBox[{"x_", ",", "y_"}], "]"}], "=", RowBox[{"Function", "[", RowBox[{ RowBox[{"{", "f", "}"}], ",", RowBox[{"D", "[", RowBox[{"f", ",", RowBox[{"{", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}], "}"}]}], "]"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"hessian", "[", RowBox[{"x_", ",", "y_"}], "]"}], "=", RowBox[{"Function", "[", RowBox[{ RowBox[{"{", "f", "}"}], ",", RowBox[{"D", "[", RowBox[{"f", ",", RowBox[{"{", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}], "}"}]}], "]"}]}], "]"}]}], ";"}], "\n", RowBox[{ RowBox[{"grad", "=", RowBox[{ RowBox[{ RowBox[{"gradient", "[", RowBox[{"x", ",", "y"}], "]"}], "[", RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], "]"}], "//", "FullSimplify"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"hess", "=", RowBox[{ RowBox[{ RowBox[{"hessian", "[", RowBox[{"x", ",", "y"}], "]"}], "[", RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], "]"}], "//", "FullSimplify"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"MatrixForm", "[", "grad", "]"}], "\[IndentingNewLine]", RowBox[{"MatrixForm", "[", "hess", "]"}]}], "Input", CellChangeTimes->{{3.757297011057506*^9, 3.75729703649463*^9}, { 3.757297219374174*^9, 3.757297253288795*^9}, {3.7572973908282137`*^9, 3.757297400260406*^9}, 3.757298325925861*^9}, CellLabel->"In[32]:=",ExpressionUUID->"524935c6-8048-4fd4-9122-2eb29291c0ed"], Cell[BoxData[ TagBox[ RowBox[{"(", "\[NoBreak]", TagBox[GridBox[{ { FractionBox[ RowBox[{"2", " ", "x", " ", RowBox[{"(", RowBox[{"1", "+", "y", "+", SuperscriptBox["y", "2"]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], ")"}], "2"]]}, { FractionBox[ RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["y", "2"], "-", RowBox[{ SuperscriptBox["x", "2"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"2", " ", "y"}]}], ")"}]}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], ")"}], "2"]]} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.5599999999999999]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], Column], "\[NoBreak]", ")"}], Function[BoxForm`e$, MatrixForm[BoxForm`e$]]]], "Output", CellChangeTimes->{ 3.757297134185752*^9, 3.75729718937078*^9, 3.7572972839758472`*^9, { 3.7572973164456863`*^9, 3.757297347937697*^9}, 3.7572974061816387`*^9, 3.757297438543234*^9, 3.7572974907759933`*^9, {3.7572978330707073`*^9, 3.757297857861835*^9}, {3.757297912218967*^9, 3.757297928418386*^9}, 3.7572983301777563`*^9}, CellLabel-> "Out[36]//MatrixForm=",ExpressionUUID->"fcc5ebbd-6ee6-4887-9c51-\ 5fd4b617cce3"], Cell[BoxData[ TagBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{"-", FractionBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"3", " ", SuperscriptBox["x", "2"]}], "-", SuperscriptBox["y", "2"]}], ")"}], " ", RowBox[{"(", RowBox[{"1", "+", "y", "+", SuperscriptBox["y", "2"]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], ")"}], "3"]]}], FractionBox[ RowBox[{"2", " ", "x", " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{ SuperscriptBox["x", "2"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"2", " ", "y"}]}], ")"}]}], "-", RowBox[{"y", " ", RowBox[{"(", RowBox[{"2", "+", RowBox[{"y", " ", RowBox[{"(", RowBox[{"3", "+", RowBox[{"2", " ", "y"}]}], ")"}]}]}], ")"}]}]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], ")"}], "3"]]}, { FractionBox[ RowBox[{"2", " ", "x", " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{ SuperscriptBox["x", "2"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"2", " ", "y"}]}], ")"}]}], "-", RowBox[{"y", " ", RowBox[{"(", RowBox[{"2", "+", RowBox[{"y", " ", RowBox[{"(", RowBox[{"3", "+", RowBox[{"2", " ", "y"}]}], ")"}]}]}], ")"}]}]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], ")"}], "3"]], RowBox[{"-", FractionBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{ SuperscriptBox["x", "4"], "-", RowBox[{"3", " ", "y"}], "+", SuperscriptBox["y", "3"], "+", RowBox[{ SuperscriptBox["x", "2"], " ", RowBox[{"(", RowBox[{"1", "-", RowBox[{"3", " ", "y", " ", RowBox[{"(", RowBox[{"1", "+", "y"}], ")"}]}]}], ")"}]}]}], ")"}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], ")"}], "3"]]}]} }, 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->{ 3.757297134185752*^9, 3.75729718937078*^9, 3.7572972839758472`*^9, { 3.7572973164456863`*^9, 3.757297347937697*^9}, 3.7572974061816387`*^9, 3.757297438543234*^9, 3.7572974907759933`*^9, {3.7572978330707073`*^9, 3.757297857861835*^9}, {3.757297912218967*^9, 3.757297928418386*^9}, 3.757298330195464*^9}, CellLabel-> "Out[37]//MatrixForm=",ExpressionUUID->"a590fae5-17b5-47e0-bd73-\ 5cfd745e612d"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags-> "SlideShowHeader",ExpressionUUID->"023614e6-c747-4bcb-9984-4f07fbc8d099"], Cell[CellGroupData[{ Cell["\[CapitalADoubleDot]\[ADoubleDot]riarvojen luokittelu", "Section", CellChangeTimes->{{3.757298361453047*^9, 3.757298369160839*^9}},ExpressionUUID->"befb4eb0-d24e-4d15-af8b-\ 1e83df96b5f7"], Cell["\<\ Etsit\[ADoubleDot]\[ADoubleDot]n gradientin nollakohdat ja nollakohdassa \ evaluoidun Hessen matriisin ominiasarvot.\ \>", "Text", CellChangeTimes->{{3.7572984290181713`*^9, 3.7572985167521677`*^9}, { 3.7572985559257793`*^9, 3.7572986349385643`*^9}}, Background->GrayLevel[ 0.85],ExpressionUUID->"ca5bdf96-b62b-491d-9adb-ff7d42655b97"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"crit", "=", RowBox[{"Solve", "[", RowBox[{ RowBox[{"Thread", "[", RowBox[{"grad", "\[Equal]", "0"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.7572973554800587`*^9, 3.7572973576561832`*^9}, { 3.757297442104022*^9, 3.7572974608399754`*^9}, {3.757297498236919*^9, 3.7572975002165003`*^9}}, CellLabel->"In[20]:=",ExpressionUUID->"c7307b61-5c20-48d4-82e2-25799e992a41"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"x", "\[Rule]", "0"}], ",", RowBox[{"y", "\[Rule]", RowBox[{"-", "1"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"x", "\[Rule]", "0"}], ",", RowBox[{"y", "\[Rule]", "1"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{ 3.757297134185752*^9, 3.75729718937078*^9, 3.7572972839758472`*^9, { 3.7572973164456863`*^9, 3.75729734795297*^9}, {3.757297450178679*^9, 3.7572974618074207`*^9}, 3.757297501606352*^9, 3.757297934582183*^9}, CellLabel->"Out[20]=",ExpressionUUID->"c6a264a9-7b3f-4239-89d2-7481c2f1ba3a"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"Eigenvalues", "[", RowBox[{"hess", "/.", "#"}], "]"}], "&"}], "/@", "crit"}]], "Input", CellChangeTimes->{{3.757297506004366*^9, 3.757297528025126*^9}}, CellLabel->"In[21]:=",ExpressionUUID->"110d9be5-c40a-4fbf-8da3-2fa91a2c6c8a"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", FractionBox["1", "2"]}], ",", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["3", "2"], ",", FractionBox["1", "2"]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.757297530010429*^9, 3.7572979376962852`*^9}, CellLabel->"Out[21]=",ExpressionUUID->"6372fe3f-9b71-42ea-b073-72ac2692ec1b"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"PositiveDefiniteMatrixQ", "[", RowBox[{"hess", "/.", "#"}], "]"}], "&"}], "/@", "crit"}]], "Input", CellChangeTimes->{{3.757297951946847*^9, 3.757297992995636*^9}}, CellLabel->"In[25]:=",ExpressionUUID->"72120900-be29-4c21-ac9b-c14068a3da11"], Cell[BoxData[ RowBox[{"{", RowBox[{"False", ",", "True"}], "}"}]], "Output", CellChangeTimes->{{3.757297959451889*^9, 3.7572979942489853`*^9}}, CellLabel->"Out[25]=",ExpressionUUID->"5691bc35-71a7-4419-9803-1136fbdbe86f"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"NegativeDefiniteMatrixQ", "[", RowBox[{"hess", "/.", "#"}], "]"}], "&"}], "/@", "crit"}]], "Input", CellChangeTimes->{3.757298122840418*^9}, CellLabel->"In[30]:=",ExpressionUUID->"aa5dcb88-92fc-4c4a-b71d-212235b4d9a9"], Cell[BoxData[ RowBox[{"{", RowBox[{"False", ",", "False"}], "}"}]], "Output", CellChangeTimes->{3.757298124385345*^9}, CellLabel->"Out[30]=",ExpressionUUID->"251528af-f999-488f-92d4-78f6bc5d597b"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"IndefiniteMatrixQ", "[", RowBox[{"hess", "/.", "#"}], "]"}], "&"}], "/@", "crit"}]], "Input", CellChangeTimes->{{3.75729813224645*^9, 3.757298142578332*^9}}, CellLabel->"In[31]:=",ExpressionUUID->"119a352e-d46d-44f4-b5d1-4e5db740a32d"], Cell[BoxData[ RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]], "Output", CellChangeTimes->{3.7572981439201927`*^9}, CellLabel->"Out[31]=",ExpressionUUID->"bf6d2bbb-05ea-489d-9edc-1d0d02d9fa6a"] }, Open ]] }, Open ]] }, Open ]] }, ScreenStyleEnvironment->"Slideshow Presentation", WindowSize->{808, 911}, WindowMargins->{{43, Automatic}, {Automatic, 47}}, TaggingRules->{ "PresenterSettings" -> { "ShowToolbar" -> True, "ShowNavigationBar" -> False, "SlideBreakStyles" -> {}, "ShowSlideBreaks" -> False, "Theme" -> { "ThemeName" -> "Default", "FontSetName" -> "Default", "ColorSetName" -> "Default"}, "Dialogs" -> {"PresenterControlsPalette" -> 0}, "WindowSize" -> {1344, 796}, "WindowMargins" -> {{43, 293}, {106, 47}}}}, FrontEndVersion->"13.2 for Mac OS X ARM (64-bit) (November 18, 2022)", StyleDefinitions->FrontEnd`FileName[{"PresenterTools"}, "Default.nb", CharacterEncoding -> "UTF-8"], ExpressionUUID->"6cc7183f-e0a9-43a4-924a-e9de67f2381c" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{ "SlideShowHeader"->{ Cell[580, 22, 136, 2, 5, "SlideShowNavigationBar",ExpressionUUID->"ee19c510-6a76-4c96-a8e1-347777b9a1e0", CellTags->"SlideShowHeader"], Cell[1577, 49, 122, 2, 1, "SlideShowNavigationBar",ExpressionUUID->"79167bd9-bc35-4713-bcb1-20c10ae6e12b", CellTags->"SlideShowHeader"], Cell[312742, 5249, 122, 2, 1, "SlideShowNavigationBar",ExpressionUUID->"9013e465-f06b-478f-a26d-390dea6bceb3", CellTags->"SlideShowHeader"], Cell[321223, 5509, 122, 2, 1, "SlideShowNavigationBar",ExpressionUUID->"023614e6-c747-4bcb-9984-4f07fbc8d099", CellTags->"SlideShowHeader"]} } *) (*CellTagsIndex CellTagsIndex->{ {"SlideShowHeader", 326349, 5663} } *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[580, 22, 136, 2, 5, "SlideShowNavigationBar",ExpressionUUID->"ee19c510-6a76-4c96-a8e1-347777b9a1e0", CellTags->"SlideShowHeader"], Cell[719, 26, 170, 3, 242, "Title",ExpressionUUID->"e2c5a877-9d38-4418-bfdc-2c97fa1326f3"], Cell[892, 31, 313, 6, 143, "Subtitle",ExpressionUUID->"46955736-d9e2-40e8-9db6-afc45aa1c62d"], Cell[1208, 39, 332, 5, 64, "Subsubtitle",ExpressionUUID->"2cb789bb-93eb-4214-9783-e91bc1b4fc93"] }, Open ]], Cell[CellGroupData[{ Cell[1577, 49, 122, 2, 1, "SlideShowNavigationBar",ExpressionUUID->"79167bd9-bc35-4713-bcb1-20c10ae6e12b", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[1724, 55, 162, 3, 117, "Section",ExpressionUUID->"186f9c31-dbb4-40df-bcb3-6247ba8c651f"], Cell[1889, 60, 842, 24, 97, "Text",ExpressionUUID->"e03e1b33-bd73-4343-9ec8-2bb675ea595d"], Cell[CellGroupData[{ Cell[2756, 88, 1359, 42, 145, "Input",ExpressionUUID->"553cd5f3-9a3c-4a5d-87c0-a1821598030e"], Cell[4118, 132, 308566, 5110, 366, 160415, 2680, "CachedBoxData", "BoxData", "Output",ExpressionUUID->"6c778dbc-7027-40bf-9c07-f5679e383ce3"] }, {2}]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[312742, 5249, 122, 2, 1, "SlideShowNavigationBar",ExpressionUUID->"9013e465-f06b-478f-a26d-390dea6bceb3", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[312889, 5255, 174, 3, 117, "Section",ExpressionUUID->"ae7ba53f-06a9-4c21-bc59-0e234f6c76be"], Cell[313066, 5260, 839, 24, 97, "Text",ExpressionUUID->"611e14c2-9418-471d-85ce-9673e724dbed"], Cell[CellGroupData[{ Cell[313930, 5288, 1739, 53, 170, "Input",ExpressionUUID->"524935c6-8048-4fd4-9122-2eb29291c0ed"], Cell[315672, 5343, 1847, 52, 116, "Output",ExpressionUUID->"fcc5ebbd-6ee6-4887-9c51-5fd4b617cce3"], Cell[317522, 5397, 3640, 105, 118, "Output",ExpressionUUID->"a590fae5-17b5-47e0-bd73-5cfd745e612d"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[321223, 5509, 122, 2, 1, "SlideShowNavigationBar",ExpressionUUID->"023614e6-c747-4bcb-9984-4f07fbc8d099", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[321370, 5515, 198, 3, 117, "Section",ExpressionUUID->"befb4eb0-d24e-4d15-af8b-1e83df96b5f7"], Cell[321571, 5520, 351, 7, 95, "Text",ExpressionUUID->"ca5bdf96-b62b-491d-9adb-ff7d42655b97"], Cell[CellGroupData[{ Cell[321947, 5531, 481, 11, 44, "Input",ExpressionUUID->"c7307b61-5c20-48d4-82e2-25799e992a41"], Cell[322431, 5544, 637, 16, 44, "Output",ExpressionUUID->"c6a264a9-7b3f-4239-89d2-7481c2f1ba3a"] }, Open ]], Cell[CellGroupData[{ Cell[323105, 5565, 284, 6, 44, "Input",ExpressionUUID->"110d9be5-c40a-4fbf-8da3-2fa91a2c6c8a"], Cell[323392, 5573, 434, 13, 59, "Output",ExpressionUUID->"6372fe3f-9b71-42ea-b073-72ac2692ec1b"] }, Open ]], Cell[CellGroupData[{ Cell[323863, 5591, 296, 6, 44, "Input",ExpressionUUID->"72120900-be29-4c21-ac9b-c14068a3da11"], Cell[324162, 5599, 227, 4, 44, "Output",ExpressionUUID->"5691bc35-71a7-4419-9803-1136fbdbe86f"] }, Open ]], Cell[CellGroupData[{ Cell[324426, 5608, 272, 6, 44, "Input",ExpressionUUID->"aa5dcb88-92fc-4c4a-b71d-212235b4d9a9"], Cell[324701, 5616, 202, 4, 44, "Output",ExpressionUUID->"251528af-f999-488f-92d4-78f6bc5d597b"] }, Open ]], Cell[CellGroupData[{ Cell[324940, 5625, 289, 6, 44, "Input",ExpressionUUID->"119a352e-d46d-44f4-b5d1-4e5db740a32d"], Cell[325232, 5633, 203, 4, 44, "Output",ExpressionUUID->"bf6d2bbb-05ea-489d-9edc-1d0d02d9fa6a"] }, Open ]] }, Open ]] }, Open ]] } ] *)