(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 9.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 157, 7] NotebookDataLength[ 503706, 8798] NotebookOptionsPosition[ 500874, 8700] NotebookOutlinePosition[ 501229, 8716] CellTagsIndexPosition[ 501186, 8713] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["Example Anaglyphs", "Title", CellChangeTimes->{{3.5788615977668467`*^9, 3.578861608156211*^9}}], Cell["T J Atherton, Tufts University", "Subtitle", CellChangeTimes->{{3.578861609122923*^9, 3.578861620381805*^9}}], Cell[TextData[{ "The Anaglyph package allows you to make a 3D image, called an a", StyleBox["naglyph", FontSlant->"Italic"], ", from any Graphics3D object. Please install the package before running \ this notebook. To view the anaglyphs, you\[CloseCurlyQuote]ll need a pair of \ Red/Cyan 3D glasses. More information can be found on the ", ButtonBox["Soft Matter Theory group\[CloseCurlyQuote]s website", BaseStyle->"Hyperlink", ButtonData->{ URL["http://sites.tufts.edu/softmattertheory/2011/10/29/3d-anaglyphs-for-\ physics-education/"], None}, ButtonNote-> "http://sites.tufts.edu/softmattertheory/2011/10/29/3d-anaglyphs-for-\ physics-education/"], "." }], "Text", CellChangeTimes->{{3.578861659331285*^9, 3.578861688899086*^9}, { 3.578915431325037*^9, 3.578915462066534*^9}, {3.578915532783779*^9, 3.5789155872522297`*^9}}], Cell[BoxData[ RowBox[{"Needs", "[", "\"\\"", "]"}]], "Input", CellChangeTimes->{{3.578861626645207*^9, 3.578861631520527*^9}}], Cell[CellGroupData[{ Cell["Plot3D", "Section", CellChangeTimes->{{3.5789153864957447`*^9, 3.578915387909968*^9}}], Cell["\<\ To turn the result of a conventional Plot3D into an anaglyph suitable with 3D \ glasses, simple use the Anaglyph function with default options. The use of \ SphericalRegion Here\[CloseCurlyQuote]s the plot before:\ \>", "Text", CellChangeTimes->{{3.578915465380103*^9, 3.578915523903344*^9}, { 3.578915593676365*^9, 3.5789156577034883`*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Sin", "[", RowBox[{"x", " ", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.5789153955830793`*^9, 3.578915395911294*^9}, 3.578915661035912*^9, {3.5789164088770857`*^9, 3.578916409244746*^9}, 3.578917026383895*^9}], Cell[BoxData[ Graphics3DBox[GraphicsComplex3DBox[CompressedData[" 1:eJxknXVclN3z91EMLATsFkURg1uxi8Xu7u4u9DaxsAu7xUJRxMAOFF0UFBVU SpDuhl2742F/3+s91/3y+Wtf+9nZuc6ZmTMzZ05clhPnDZxS0MjIKMfMyMg4 /7Pryz3n+lY/bs9nz8v9G78d3rv9rp9P39T0jtWAe846+PGRyTb73psiMmp4 5wrukvXK/JGJq3297u5XI7d+EtzE9Pzg3V3d7c/3HjOvhvdPwSfWnX3yockF +wP1th24/qGAA7h/9Qqfl6ZdsY88P21R5NbCgh+w+Vpld9cb9hUbdR78w7KY 4M5Nozp4ety2H3G5ZtMa3iUFH93u7rSHJvfsXxz6vdmynpngxp1dt0fNeGCf FzV76fUP5oJb13kQtTTN175UlZhpXbRlBHfx8MotdOCRfaPRPYZFbi0neFWb E392dfW373PsdtcZQysI/thzp0W1L4/t58XXafHDspLgi2yc63h6BIh8kSvy 5Duf6dcv+h13faZBzuDG9ex2lKsQpUHO4J88p88bZJusQc7gW0osXJ9TNkOD nMF33s8OPlQyR4OcwTulhtXqmZunQc7gvXMixzsc0GuQM7jRzV3zO37Ta5Az +O/6z9f0M9drkDN41YpTFj7NyNUgZ3DH+PcvTfdmaZAz+L9ZsaWPNU/TIGfw dmNKHur0LUGDnMHjp30xHt4uXOwM+WGf0h8FR5585/NZxx2tDXJDzuDdbGwj euTLBzmDB367s8ogB+QMvubwl0bP8vuLnMHNO951P57fL+QMfrdXsbDR+e1H zoK37Pxrg/aGFjmDp7bZNH9zQJwWOYNbv/pXN+RFphY5g8fOG9Zp0gOdFjmD t3tod3Wan16LnMGf37o76fC1HC1yBr80dUfuYbsULXJGTox35AyOffJ/cOTJ dz7/nTA/y2A/yBn8Y//rnwxyQ87gX2YMbvrl9gORM/jdg+feb8yXD3IGd3p4 pc6u4bla5Ax+pO3+NwY5IGfw0vb3ohbpMkTO4NEXJheqv/qlyBnc1LZUoXb+ EWLP4G3KDCz8bVS22DP4sfjzKb/+6MWewX/2eV3Ov2+22DPywH8iZ3DGO3IG xz7hC448+c5nieKPHVbn2xtylt/PL7Y02BVyBm9T8laaQW7IGdy8cK1jrvl2 gpzBJ191nv7nkr/4DfA5Xa9t/ZovH+QMfrbugW2lhuvFb4CXb+i3t2PpJJEz eERO0sqZUS/FnsG3bjw2sMUD1Z7BjY58cci8rRN7pt/EI+QMjv9EzuCMd+QM jn3yPJGrIk++81mgfszgksN1ImfwGv/s7d0o396QM7jm8Y4a/e3SxW+AX8ka 62aQG3IG/9HwWpMnhyJEzuDzEyLnNOqSIvYMvsD0xM9KqXrxG+Ddrvb4M/p4 nMgZfKvt/qW+Zoliz+ClBhXo1eC7XuxZ+qfEd+QMTjxCzuD4T+QMznhHzuDY J+0AR55859Nh7MQ+BjtEzuBHZlYo+Th/PCJn8FfverSYlm9vyBl8R0DwkSZP 9OI3wG8kF9COyZcbcpY4bFNB+7trmtgz+K/nDUYXSc0TvwF+7uaARu1aTxN7 Bl8x88vIFR/zxJ7pB/kScpb4o8R35AxOPELO4PhP5AzOeEfO4Ngn7QNHnnzn 863j0WqmW2PEb4Bf9IhxNYxT5Ay++8qmygsctWLP4CF33nQ02BtyBg/2qma3 x+GZyBm83/u8Zga5IWfw+zPi5pqEJIicwU1exc76FpMp9kx7yT+RMzj5EnIG J74jZ3DiEXIGx38iZ3DGO3IGxz5pNzjy5DufQzOb+82eHi5+A1xX5Olagx0i Z/C5deesfNIhSuwZ3KfwxOZBcbniN8BdNm/6s/9tnNgzeMnMIWM/nM0RvwHe 2fyhxYoWSWLPtIt8HjmDk38iZ3DyJeQMTnxHzuDEI+QMjv9EzuCMd+QMjn3S H3DkyXc+AwbkjJvRIVn8BniBjqeCWlqliZzBX5eOft5nUq7YM7h/2TLvfli9 FDmDZ1f5VjLvj17sGfxR97fui5u+Envm+cyPkDM4+TxyFnol/0TO4ORLyBmc +I6cwYlHyBkc/4mcwRnvyBkc+6Sf4MiT73xWKz+2c6C/TvwG+Hgnn9D9xR6L PYO3WHT+2aYO2eI3wCtbn2qgfabaM3i3jrPr1+5zXeTMc5hvImdw5kfIGZx8 HjmDk38iZ3DyJYnHCk58R84yP1PiEXIGx38iZ3DGO3IGxz7pPzjy5Dufuq4p pR6bpYucwY8ObHov66le7Bk8LHruPy+sEsWewSNM4m5uf/hG/Ab8mL8jZ3Dm m8gZnPkRcgYnn0fO4OSfyBmcfAk5gxPfkTM48Qg5g+M/kTM44x05g2OfyAUc efJd5JCb96XP8DSxZ3DtgyzbJS2WiD2D9yl1o3KARZrYM/+jHoKcwZm/I2dw 5pvIGZz5EXIGJ59HzoIr+SdyBidfQs7gxHfkDE48Qs7g+E/kDM54R87g2KfI S8GRJ9/5PKH32OZzTq1vgO+rN+GVvWuO2DO/U19CzuDUQ5AzOPN35AzOfBM5 gzM/Qs4yzpR8HjmDk38iZ3DyJeQMTnxHzuDEI+QMjv9EzuCMd+Qs8lPsEzmC I0++87nh30c99/bVayplXLpbyztIPpvH9cyc8NhT83xttfpvtqYJ/q2TT3j/ Tn6ajMcBodc/vBM8ZZdVeL+UV5r4+3Pt7dpVdACfOKPIt889VP7wgw/f+XTZ OrzM4cKxmsUZVT0s6xk5gM97dL6Tgc+tGd82dNEaC55Q/EYnm3i95mvO68kz hhYVXPtp+sS+O/M0reZe67Q9r7jgY7xTuufuydQ4vd1R6+p6U8FHG9dKPD06 SdoPntXBsmvEsywt7aff9JfvfF7IfvHy5kKdZsZz510/LL8J7t/hyuDiM/XS L/CRzWaFGdpDv8C3bMgdbNM5UtoPbtt86ZiDP5K1tB/c8uLN7jdN87RjvG86 Z5cyF9zL6Ej/ejl67crvtR1XRFkIPnBTI7cqMdnaY233jDM9U1bwlrONuh51 iNciB/Az/+4+125tgvSH/tEvvvNpknF23o9vKdIv8NJBAdcKO6Vp0Rd4cfM9 84Pu6rX0F/xdzJPyVfPbSX/Bbc58z9kxKlT6C34x8vbAPdooDf0F7zOmRl61 57ka+gv+tuYx45DvOs39FUb9TjqWF3xuObede6cmi12iN+wQOYCjR77zWSX+ x+PwfPtBDuBv7l90tAzRiRzAlyzNbhow543IAbz3qH23W+fLHzmA344+cmW+ u16DHMCbPHB/16RzhvQX3HHKyD23M7K19BfcpezN1jPb6ETv4FkFPqzo8SBc ixzoB+MOOYBjt8gRHL3DFxw58J3Piq96TnJs+lTkA251LS7o5IwsGRfg1bf3 Hv9OmytyAP/d7m7r62tzxf6l/cHWK0v6ZIkcwD9Vqh9Z7oJO/AD48o6Xa2bE q36KduFn6C849kx/wdEvfMHpF9/5nFtyw5Llo9T+gqf9M/TM9UNvZFyAl7fu c8L3tl7GBfj68qsbWs/2FTmAV/odcq7hoTyxE/D+w4cs7j0jRcYF+LNNCces dqSInYCPW1byzMSNeWIntBd/i52A48eQGzjjHbmBY//IDRy90w5w5MN3Pmud uOhssHPkBr5nd0CS7eAQsR9pf0Rqn9Jd9OJPwO99uxVd9YSf+E/wWedODy4c qxf5SPtPeVaq/ksv9sPziTvIBxx/jnzA8XvIBxw/gBzAsQfaAU5/+c5nWdvd 5pW75YkcwH0vm698nZko9gPe98HP+ibrM0UO4P5Op5t1Ds4Q+wH3uzlhVutX apwFX7mgQHDL8FwtcuD5xC/kAI6fRw7g+D3sBBw/gHzAGReqvf4PR++0Dxw5 CJ3yuWdE2p+wjBSRD/ikdjWyN/VQ4wt4iYxVtvY/88ROZLz2WuOXcjhV7AF+ xGvkAE5co7/g+Df6C854p7/g2LPoQ8HRL+0Dp19859N22bmWF8YEij2Ae98M 69S+WYb4W3CHK4OurItT/S14l/LLr0Y6h4g9wI/8BDmAE8exB3DiHXIAx78h B3DGL3IAx55pHzj94jufp/6YdByq04vewS3nvyjWqHqq6B08ZO6SzFPbHkm/ +B95CP0CJ16jd3DiF/0Fx2/TL3DGI/oFxz7pLzj6ot3g9IvvfN41C0irduGi 6Be87LBIh/3Nk2RewO/MF/CT4OTh2AM4eSnyEXolb0E+4MRx5ANO/MIewPHb yE3sVPFXyE3ioTJ+kRs49ozcwNE7cgFHPnznM/L+gaV+D7NlPsL8OHxu3bv+ JstlXszvv0d7TjO+7y3fZd+CgvN/focP82jwsFl7D55wfSZ5DvisJ62G9qwY ITh689nwrG+txBzRC/Qd57U5dOQ/8zvaU9PC2tyxSZb4Meh7b5puXfV1ouDQ Fyx3zXS/mxr3oX+1rEqUdnmK4NB/3fqo4tgsnYx36Ftc2hgQqVfzFehXlPFY 0vidqnfot2rvOBVpoM4foR9279XYCV5qHg692a6IGmutswVHPpedxq2aYx0i dgL9LduZ22vnyw0c+j+XRvh8XndC7Af6S3Wvu/3bX83foM/ev6iZfXa42BX0 k4/0eHMrf35KfQD82I0tvgb5QA+ft6eveB/Kz9OwP+zlQVbRqpNePZG6DHya +MwMMayvQY98nm8YuSuiXbRG1ev/7Au7Ylzz3Etbj7pE5OsFHPqAGxonw3o0 dRvoNx4almXYX4EdQr/y2rbmhvZQz4G+YQ+PmQb9yvxKoY9eviLWsJ5CnQf6 k5f3PDLg2CH0D+fN+1B6b5bUM0VfLrff6sfniB3Sj7d1uvbu89RX6m/Qf/Hs 3MCwzotdwb+965GHpm9CxM+AW40YGTShQ6r4Z/CnGqvThvVK7AH8pLWH7c80 dd8Lz+12r1rOPfd0sROpZ9TyXNH7w0api4k9BHm13p3PX/yjwj/uwrL4hboM yf/hgx6hA0eP1OXAkyZYTzbohe/8Do7e+b11pk0Xwz4E9A59pxMXx7/Nlz96 h37J+HMR46+q8ZT/rY6dctU3f3yhL/hEGZvPuZsvH/QFH2v7T5sM6z74DVmX uNqzW+Hl6r4a6EdMuTbSgKNf6Gc9+V3XpkGe1Fehd3Y3/lNiuE70LvuLDv+Y /WhjotS3odcn39xw5mKa2AP0tVK3rYhbfVn8A3jB8R1aO/ir8zvwImlnS0/e pRO9S73rUJlVA+zSZVxLveek14OyrrclHoETF7AHcOIC9iD5rDJOoUfPjGva Bz36pX3QYw98h/609kWRse3C5Tv6R+/YCb/PtBzd5bUuUuZZ8Kuhe7vHsO8C /wB9N4/DJQ3jDv8g+3kGDome+EAn9WHot9xrtbtFC73YG/Szds0bduRajtgb 9K9KJ8437DfA3qB/tmOTU8PVL8WuwP3CxpXMqJUk9WT4XLkzZZ9hfwJ2Jfsa etS4dH20un8A+n6rY+6djVTnv8hj76Q4Y9N8vVN/hv59ZdsFhro69gb/1zld O2gG+ou9gU/7MFRvWPfE3uDzPSjjqdnWGPEzss9Kl3DXsO6MvdEe8griDTh5 BfYGjp/H3tA/cQF7g76pj92nmPz4hb1Bjz+hfdBjJ/QHeuyK7zJ//ZHc1OAf +M7v4Ngbv3c+NqPL4nx/i71B38B73MKzF9X6KnjavlHLmpwOlvUI+KwbWHy2 Yd0fu4Le9dbOy5Py/QB+DHqfj7H+y7boJE7x/HrG/T8ZWa0Re4P+ZJmNQY8P RYi9wf+YT/bJAs0eiR+D3jn36mD3I2qdAXo/2/tJl5vlib1Bn2tRystgD9gb 7bn+M2LVjwpPJM+BPtzUpHaPfelib+ADvqeucHLUin/juaZh1aq9nZ0jeYsa //+Xl2Jv4OSl2Bs4eQL2hj7JK7Af6PEb2A/0+BnaBz16pz/QYyd8h75n+L3i bfwj5Hn8Do6/4nfPGrPOGvwAdgV9Ru9mqYb1SuwK+iTf31U7lU4Su4K+fNf4 A4b9JNiV2G/NDl9P5+sdu4L+Qt+O82J/qftRpb+zyhaonKrWOaEfWHLWFt8+ uWJX0DttqLv0ll+k2JXQu7wI+Ddf79gV9EfclmUY9gNgV9AneMyKfVNeXZeH fkHUwZeDUtT8GfqUiyO/NK6SLPFU5P25xK2dDs/E3qA/rq2dZtgPg70hb+Y1 Mp+hTqzMa/BL4OSZ2Bv6JC/Fv0FPnoMdghOPsEP4EL+wQ6lLK36G/kj+q9iJ 1PcVPtgV36EP9zPZ1HdxsLSD38GxN34fWjMlsPmDHImP0BfN2XbT4DewN+j/ yevuY/AD2Bv0T2bnFq1wIEnsDXq/4vlGZZYofgz6o911BfbuyZC4Cf2Q5tHZ BnvA3qB/5lH/ePnaWWJX4Jk+u+N3FU+Q/FzqlL7r9g7V6yQ/p3+xjiuOlWnu JnYFveOeYuaG9X3sCv4fkzMGaNYEiB+DD/Nf7Aqc+S/2g7yZp2A/0JP3Sr6r 0JMnY1fQk7dgV7J/T8lzsCvoiUf4N+iJX9gb9PgZGf/k3UqcQi7QYyfIUfYH KnbFd+i/fY+rPvZ4nNgbv4Njb/zeq+XlS/r8OEI7oC/6Z7Cx9zt1vxD0DWut 798k329gb7LPy7lbrUG5b8TeoF8z8ru7tyZL/Bv03s2zLA37E/Bv0D98UsLd sB8MO4Te2OhDVB+zcLFD6DuNcTSucjNd/Bv0s6+3GmTYP4YdQl/wYOe5RRMy xN7oN/UT7A2c+glxE5z5r5xnUHDmTdib7N9U5lnYm6w7KPkwdgX+0GVMvM8w dd0WPuQ52BX0xCPsSvabK/FL9g0r9PgT7Ap6/A9yhB57QI7QYz98hz638c/d T+NDpZ/8Do5d8fuVqImX9IfVuAn9pSDbRtvfq/sEwD8H3TrXPt9vYD/wGT71 Y7MdvnrxY/C7/sHxn+q+LmI/0Efv7Dv7z6tg8WPwty5Yao5ThJr/Q9/5dZmN 6yeq6yPQN55w2ejMiRSJjzyXOpu6z+N/OHU27Aqc+gl2Bc78GrtCfszHsSuJ A8q8CT8GPfMsyeMVevJe7A15M5/C3qAnn8He4E/+g71BTzzC3qAnfmFv0ONP sDfo8T/IHXrsBD1JfxW74jv0hwPXZB0tFCry4ndw/Bi/2z8qF7U3NUvipuxz 9+1+y+BPsEOxt1uVv1Saoe5jgf7Oc5ftoSvzxK6gr/Haws86Wa1PQr9m7Nel aR3VerfsF1DqsdgVOPVYqTMqOPU37AqcOgx2Rb+p22BX0Jc79eCyYR6NXUHP fBy7gp75EXYFPfMp7ErWE5W8F7tCfsybsCvoyVuwK/iT52BXst6nxB3JDxR6 4hR2BT1+Bn1I3qToXcYP7VT8DHyhH9px54S2B3Xix/gdHPvh9/O9G4ctavpK /Bj0OYfHmZr6vZY8H/qLgU/tQ9epcRD6cpfOjb68NkniIPQxfyoE9quq7geA /kcH/+6ddWodg+dTz8fewKnnY2/g1HXlfJ2CU9/DrsCpw2BXyIO6jczPFfrk mYuNHp9T92NAz7wbu4Ke+RF2BT3zKewKevJe7AecPAT7Qd7kvdgP9FezJjU+ YJkncZDnEqewK+jxD9gV9PgT9AQ99oBe1XN4/7MfvkO/xHGqqd2iOJE7v4PL fl/ld5/6pxa3jVPzfOgf2004fTNG9WPQV2m/bVyPOjnix6C/sHPpjWM/88SP wY91H+wKnPUd6KVdynoQ/krWB5R1AfhAzzoCdgg99WTsEJy6H3YFH+oz2BX0 zKOxK+iZd8v5Jdaj7daWDK6i7q+DnvkU9gY9eSz2Bj15L/YGPXkL9gY9eQ72 Az3+QfZtKPT4E/QHPXpH39BjJ7KfW6FvO756bftPav2B38GxH37PdOxTt80U dR8C9D9uejWY+zhdK+fM2Q/71/od/FjvY10QetYH8Vfgf68TwYd1JfySrDMo 6wvYIfSsR2BX0FMfhg/01JPxb9BT35P9nQo99UDsEHrqM9ihnEdU6jnYIfTM u7FD6JmnY2/gzJuwN/iQ92Jvsp9cyZPxb9CTz+DfoCf/wT6hJx5hn9ATv7BP 6PEz2Cf0+CXsSfgrdoX9QY8dyj5+hb7blg7myZUjRa+yH17B0S92utLUft4G n1TpL3itcZWGuddW6zDgczIDuhvqYLQf/OY2166v16r71sBXvyrxdOzVZNEj dv32ytLj3b4lCL3E56bD7hrmC9gVfpF1BPoFfiEydZJhvsnzZF1M6RffsXfW s9Q85n84eSN2gr0zz6W/4MR32i31w7/6hV3jV7F//Cj1Xvhjv8Rl+oV+0Avy wX5ZLxC9Kv1DXzwX+6WuC19w5hHwoV3ol3GHXVMPgZ5+o3fkI/u5FP2iPxkX ih7xG/jL7yZJfQbbJot/AD/rPnDqxnz9Ikdw046HtuaWVf0A+MuOMVXmN8mS fAb8aEBO+OGS6nkc8GXPGhodcFPPd4Hrt7p+Mpw3hz/+2H/i9DNR+fYJvcT5 1dX6bw2IEz+AP/7xuMMO69Xq/QPg4Ydv+jQ7HSx+APu9O61E2d6LgyWOICfk A46ckA84ckI+4PQD+dBuOR+q9At65IfcwJEfcgOn38gN/nLOSZEP/QdHPuCS 5yjykfMJCo58TL+WrhK19bV8Op0KOtf3nY9mc8nto+3amTiAV+rdeH7dTjma pztmtB0aVkLwvWZtTzRflqcpbt61stPM0oLbtJ65YbqxXnOmx+6fL53NBQ9q 6b/D/41e83jrn5zxvcsIXvaC58k5H/WatMA5Me8rlBNcV6Pt/EdD9JqtJfSr t+d915Qo/N3kp2WWxiI6vLKBfxGT8OPZpQo4gJ8LjL1bNzw/T9h6ZaXpmUKC ew6pH/vxbq70C7x6o/E7RlVK1xQuFft8fUp5wQ/3nt/wcXu9tm7fnnfLX64o +IFK413b39JrTYq2eNRF+0HDp9a5SJ/7n9V2gj857G1T+meOtBO8U4GxyV+6 JIg8wQuFGi/t3zpPizzBz/7u8drwXOQJXi5+7PY5tzOlneA3vSr82VhJL/Ki XcgNOnDaidzAa0yocCMkMk+L3MBbnv2dUvxMnpb2g1vdLru74ploaSd4/xPV 8sLa54rewef2ySw/KlEnegd3qT9o2PnbiaIX8NtX0/4tUvu59Bf8vcfwTaPa ZmvpL/LGHugvOPLnO59bJ/eyTXHRa5ED+IQe8VYal3TpL3iU88e52z/niv2D V3EdE1ThVY70F3xJV03IsQ6ZWvoLnvD7xrNPJqq9CR+XlPgOT5JEj7QLe6b/ 4OiL/4PTfvQI/q7o5ycHvuvFDsHLhD45PD4gRvoF3rJs2eaBEamiX/CCX86s n3xEJ/0C/zfyhec6txzRI/iZqYmuGXFZ4ndoF36G/oIzTukvOHYIX/C/+wVu 1eaI2YcruTK+wC/EdWj0Lj5F+gVepoJb7XKjU0WP4B2X92vTbXqu9Av886kG +20+6LX0i+fjJ7FDcMY7/QJnHKFHcOyN/oKjL9ohfJT+8p3P76NOF9enx4oc wIvZxTTenN8v5AA+rulcLw/jeJED+I32vbIHVcsVvYPbh1c7OLdaghb5gLvM XXZsTP64QD48n3iBfMDxe8gBnPGFHMCxT+QAjn5pBzj95Tuf5xvvMhtYKVTk AG5r6pdkFKOX/oJPLj7do56XTuwBvHDAo0pttsXJuAYPa7Qg6GypLLETnkN8 RA7g+HnsBBy/KuNKwRmPyAEce0YO4OiX9oHTX77zOSqj6BLr56FiD+Djt9/I 8DyXKf4cvMAm74yb3XNFDuAPAzfN2bdXJ/YAP/IB+gtOvMAewPGr9BeccUp/ wbFb2gFO+/nO5+ATPe8l3lD9m4yDl4m7By0LE72Dz6zdfeW9oBQN/QV/dvXY xgnZqn+A3995DjhxkP6CEy/QOzj+lv6CMx7RLzh2ixzA0RftlvGt9JfvfJ5d OPzpqvuxIgfwPeWuFVjfRSd6B79du9PUOim54uf5H3kXcgAn7tNfcOIIegfH DyMHcPyPjE8FZ5zSX3D0SLvB6Zf8X/ncNerVutumetE7uMXN96M+ZaRJfsLv f+eT4ORvyAGcPAd7ACdPoF/g+Bn0C864o7/g2Cf9BUdf9AecfvGdz0bproUe RkdqGvgsWVXX20c+977aX6DI0y0y3sFvhR8Y92nwafnO7+CB2wPHXl3/W+xl akAv32HZ+XLu0XHHiqiCDluMOvS68SFJk93UqbkhjmAn4LFnbpQp8kilh0// S4klNjzUaaYHVp9z0rGI0Leemub35Y9e7Ap8zebsXh199JpzfX708i9aXHDd iK4Fvn7RybgDX7npaJNmt/I02a8i62ceLyX4uDWTXEx/qnYI/uf1M+eNwfnz jEZ7H/V5VkHaufhMq6KBX/Xa7lss3GYM/aJ5sn5EimW9t5oiH7JGGOKF5PEK nvn2wjRDO6HHvj5lPEqZbKMXeUI/oJpV2wlGql8F98uueSj0XrbIDdzu0v5Y Qz5Gv+A/a1qfjQEX9dpyNtGFiriaCX3M3W9dY/xyxA7Bva5PTK/rphN6+PhW fxnwfXCetvnM7h8PTrUQeud/g5+45OllnILr+5p1Nz2k1w65cCvFxq6s4PVd I2YY8kPsGfxM86P7C9lma5EzePDOJV4H94cITntMpzyvvis6R+SFXJE/dODI GXr087de+Bzp/C3jT/0csUPw60VqbBhTJFviGni3So89DHKDHv6TfDbqbv7R a7FP6C85zN854YfqD8GHRbnb9nqbJ/TwqZ6ywfVh1Qwt+oW+17lSoYY8BL1A v1N/euzTIL0G+UN/K+xzjfD8/AT5Cz666545+1R6+NQ7u+J8/OEszaJcq7B7 v1R61zbjrd136cX/gA9ps/JFvJ0aR7Br/APyB8fOZfwo9v63nUNftf602/7t 1TgLHru20btBvfPnawo9fC7UXrix0VJVL9DbRPlv7HMzS+QJvuTThvF1VqSL HwAfbFJiW6dM1W/IPNR+mN2tb3oN4wX6xElHnxXTq/UW8B7Wd5sm5MsHOcNn wK7luuZWei1yhn7TuDaRxd/lSFwDb3T62HuLNL2MC/ClK7Yt+FxBje/glT8a 5U8v0rX4NeSEf5Y4qOD4YeiRN34bfUGP/+F54OhL4qOCoxfohf9feuTTeOXs d8PGp4keoe9pMt3kS81s8f/Qv2oVd3q7ozrfBC9wJGDoAmud0MNnumvHhi+m 5oi+oC/3vN9MmyeZ4g+ht6pYen3bezoZd9C7GOs9b7mq/hDc/dJXs2mvVP8J n353z6z6sSpV9A7ukPuh0ZFPeok78Jn8tuTA5lo1nwFvfcS6tKVjnugLORE3 wfFbxE3GLfT4N8Y/OH4Mevjg99Aj9Iwvka+Coy++8/mmSuXudv+J7+Be4e0b JuT7H77zOzh65PchuhZLKj8LlXEKvsPa5cXI/DyNcS3t7OMVMvu3XvwA/F9r pxW72UqNm9D/XjzPpt2qLNEveLnITsc3D8nWoF/49MseGuw4UvWr0O9cHOUy 5ZeqX/CQdbc6O8/LlvELfqmi9/KqP9XxDv+goEe9/e5kyLhGHuQ/4IwD8h/0 CD3xCL2DE3eghw9xCvuDnnGH3kU/yviCHj6MR/oJPXrkO58ldm7QtRur1jnB W9367eA+Sidxk9/B0S+/p0Qdqjv8foLoF9zGo6G+TXyW+AFwy86Tzi2OUP08 /Nt1dXkZ46ITvUM/2/jbLNu9aaJ38EKtZj+qWjVN8h/wTX2zukf6q/kS/I9Y Lm9QNt/PoHfoEzOtkjufjRc/IHo/3muPm7Wqd/pNfgvOOCC/JV+CnrwRvYOT bzDewYmb+Hlw4iP0PJd4it6hZ5xi3+CMR+ilTqWMX/oPPfrlO5/x50rZVKum ro+A9/V8P8ngP/nO7+DoXfyKb3DvhfVfi97B+1Q27l6xmF78PHzaJ297O+Bo uugdeuu1oQc7GadKfgV+9KRRrIVeza8k7xu1sq9XyQzxG/D/uTHIen5+3CQu 017yfFmfUHDyecm/FXsn/0df0JPPgENPPsN4h574yHiXupkST8VvKvT4VfQI znhkPIAz7qCHP+MUeYn/VvTFdz5XfH4y/tUXNV6D/1u8hU303jzRL/z/ZC7y j/DQib6gv9j41YVkzwyRJ/9jfgTOc5gf4W+hJ29HbuDkFcgZnPwBeviTbzCO hF6JR8hf+q3EL+QJPX4MeYJj59gfOHaOvMCRG/LiuX/LmU+fGYdqxh/OEP8J /jCigWV8C7XuB/6P84YCA7Zliv+Ev5tj3rCCo9IlvwK/ueZmXauVavyFT9PA zUG2jlmS38KPeSu41FOVeavMfxR65lnoF5z5FPTwYf6F/4SeeYHkNwpO/iDx UsGJL4wXcOII9DyXuIN+wfFLyAU+yB85giNn6OHzt174PNvw0a096yOk/+BG lbJ9c9LVfInfwdEjvy8LjDxTcH+C4FKnbaCZWLxEmsRN6L92S5zzYYUa1/gf 81lw/C7zWfwe9MzLwKFnXsY4hZ58HjmD4+fBZT6t+HnGC/T4GeQPjj3TT3Dk g1zAkQ/f+eyhcb9c8FaeyA181o/imj5uOsk3wB+8rFm5V0KyzB/5H/Uxxgs4 9RziETj1HOQJznxW5pXK85nP4vegl/kR80eFnvkR4wh68m38JDh5NfTwIQ9n HEFPPibzUIWefAw/CT3xmvECjv9Bj+DYLXIHRy/gPBe9QMfnxJ6rzWeXypD5 BXjq+5GPn35T62/8Ds4+T+rBmQs7d3lqMsue/lIfHh1z6+e7BbkiB/ZVORfd t7j4S9XOZZ9J3cjlCwbrBId+5PKjjQz3TGL/0PfqEjKg4ga9+CXwms9blP/w S7V/cO+z08oa5rnIR3An7+HrH6pyIy9+1GBWO6dhlwTHrl8etRr9Zas632Ef 0Of6y48V/aPmRewXuz2k9y7DuTb8APRdnJOGP96h2if0P+5caWG41wI7lPO7 ZQ5U+uyi3mtMe8ye/yrzf+dwFX3BZ8qta8X/eZ8l+9MYZzYFv/czyBP/JvfS +BWq3Uen3rvC7+DEL36fYPU8avVUndDxnIvmqef/e+8uv1fYfLxuwwnqPFru b7lR4nnIBzXuwOfGuo69DfeCso+R9n9P/+1uuI+avAI+tca/LmLgL/cvK/Q1 U7+FGc7LIBf6ETEqYMp/75kBp1/sSwPPzfRpZThXiB9g39a9lg07XFyr7odE /11sBvxfO9nHBp/GRZzqGO63RL/wqbr6aLkuX1R/IvfrjhlgdnRlnjyXfZ4m x7r0Nrw3h/2a8C+W3aKJQQ7EffhMjbrX7uikDNknSTtDn57c4O6vk/EC/dio L/qHGer4gt6vWKS263h13Q36M1VLNGlQMU/sk/asLNiwy5VmebK/VPbz/DMm wbD/E/tmHDCO2J8KfYX+7ycY7oGEjn2j/YdXqWiQG9+lbqngjDt+7zL0VFX3 CrlqvFCes3BkYkeDXthfKHXKmQWPGc73YZ/w2eT3O+fbI9XOZR2m2iGjR/ly w8/L/SGlHH8a5Akf6O/EdkuzOqXeFwfu7fu70tpgtQ4Avv/Nqjdv49XzkrTT 9f6ys4Zzf+xDhf6l+f2i266q57iRB/5H3leo4BGOo00N54nQN3aNPaNv7BH7 p5/CX5GzvMdQwSu+2OlguKcRO4d/u/SLfU1Xq/MRxt+WgO0ehnPf2Dl8Pvee diu0v4rzv9wI7aaRPdT7ScBbFJ3WOPaYTvbJS9143sBGhv3P+BPZ159+dcXV KWpcBg87fOrfnh/zxI/J++4mNzkcslg9Vwv/HrnWA4Py5UY8k/wiYuis/95z CI6fZ/zQP8Y1/hS5ZnmXWWS4Zxi9wAd/Ao688Se0W577vXKcYd8y7ea5yBk5 giNn5AJ/9Mg4gn8Rs6MHDecysH/4TCjisMAgZ8YRfL5/L96o31d1Xgn9oKTr 4Rcv5Aof5FArY9Qlw32nyB8+Hys9CFmaoq6ni79sNHdOoF71b/A5ucckzmWO el6A9i/vWqu6YRyxT1f2rfVbdtlwb6TkZwr/IhNXdnuQq+ZptMe69Ilvxdpm yz4TcPIl7AT/HVjYaZ/rH/U+IvAeG2PKLf2p2gPyI86id+jx//g72Z+2xmRY k89qHgIf/BjjGnnj92TdSMHxY8gR/qdaHP8UkKvGNfijX+QldULFHti3DZ+s Ap/j2iWqeSB83r5f63hgj3pPI3wig8ffGvlHXXeD3tpr5N5uO7Nln7fsr7Mx 7bX7P/5W7HFTSlWzO2qdQZ7baWKFf9fmynkWnvsieYdx3ZLqvilw8lv0K/vT Ciwsarg/n3yFfpDnkJ/Qb/Il/D70LXqt2GeI4/hted/T+VM3DPdCo0eeSzzC D4BXa3fI13COmPEu/BX/CQ5/M68XSwz30Kr3nv+PD+MUPwBe+0xYB8N7NJCL 3Pej6Av50l/0i9+Gz5gh360N51AYvyK3sl1NWkSq+pL7myN6Zp/eouY5Un96 f/nUygXqe4vgv9KmUYrJsFg5Hwf+Ya/Nvct11X1i8GE+Iu9LUOyOvJQ4C/6y tfH/3YeDvvBb5GPg9I+8C/8MPfGF8Yic3sddiTDoEf/Mc4lr4PAnrjF+oe80 bctxw33RjF+ei18F57lFor6MbnRQvb8CPow79MFz0Rf+Gf43u426Otpd9c9y D0No5PPSTdT76ODvcyvD4+Bo9T4K/rf0RMVyuU7qvAD6ywl7GhjOXaJH6Jk/ Sv6qPMcop8ZHw3jBr2JH5Mn4VfrxoMmBAT+3qnqRc/FKXgcOH/I64gr0xB3G HX5rdUJB3//e8yz795W4hvxl3UnxY/Qf/sgNO5a6qTIueB78vQd2Sf/6USd+ Ej6H9mwOMIwLvvM7OHFQ3jtdrtyzWj/U81TwP+Zq4lUxV51HgE/oP/66t0uu jDv4M69HL1KPVeYj+Ens4s3eKQOC/rMPh3YRl/FLnN/p3nZwpOF9Xtgt/PEn 2CW4m3uHA9mhat7Ic7FD+EJfY/zR7wPL+oq/gn7roCNN4hNypP4A3mm9t5Xm obfIH351TpzdYDjvCZ2c21D4gMMPPnyHT4inn7/hvCd6gc+qYdOuO2fpZByB j2xcwvS2h3qfBvzubDD9kjRMjYPg1Fuos4BTb6GuAU69Bf9JXfTN7k5mcb8y 1HsOlfyLvIu4A/1Nn0NNDPcAoF+5h0aJ19iZnO9T7JB+gv8tB/jX8Jni0Gqd ek4E+i/LWwVW2XxZ4gjtbFYq4eX1SDUu8L9a3QrlGd5Phz8B9xk0QGcY7/gN +DG/I17Iuexuy0uXP5AkfgZc51faxnCPB/4E3Ni0+LtXVdR1AfAW9UJ9Lv5S 57M8lziI3dDOj4ER3qWLqHU26LEH8mfoE1fer3fFV61fQY984EN7shdZjn24 3EX8BnyQM3Tg2xJuZP2olSvylftEtxxYlu4SJs/lf86h1gPMyr4WffE/6GkP eZxu9Plx376lSPxAnyFmVz9dnJUn8YN4QhzBDtHz7y1zBhveY4KfwW+R10kd GLvIGjDYkHcxrqHHv+HP8bfP102ftTRLvZ9c1r+UOIve0afRHKfTt0uo8zLG AXkv9V/qwdSBaQfj+25YFadaAXmSt+APtr3efLnG3EzBkafmp8mDBf3zZB4r 76NW5svk6+DMj7BPcPJq2k17spp0GbZwYID4EdqzqmVY0/FG6jkR6J9vclqc sPmqjGv6PSrwW9buOamSJ1Dfoq6IHKTuqNS7aA9+brXd4CrRedni/6F3sRgf 3eS3Xvb7sX4SmTytoPZTvLSHdvYMCp6TXjdccOjPrpnQtavTeVlnAc/tkvdu fv58hHkleLO65+0Mcoae36kbI39w5qHkFcxHN0xLnBI+0Vv6Cz9dmQjvU/uD BJf3Wv+oN6nm4AyRP/QHdSO61V2hngOF3vvB21jDvIZxS/vNB28v9nb1ZRnv tOfR4Ae3Nw6Ilv6AU6/GDuW96kodjHwYeuot9Bd68nnGFf7Y4eGB9b/aBEn7 oSd+0X5Zhyzde0mvxcHSfuiJC+gb/v1cKvRvYaHeNwvOugN2KOuWpwP7O7hk SXwB39Z3/rcbpur5RH6n7orewakbMA+ED/NNOe+gxJ/v89ctqpr1WOQDH/Jk Odeg0HtuXFEgo9AjkQ/8Ja6xbqXwIT4iB/iwniLnNai7TqhZ13q5+h5k8GKV TY0M93dBz/yY+r/4X4WeujH+CtzyStKR/bUzpR4i6zwha44Y3tcDvbwnXKm/ ITdw5uPkmfBhfocdEs/vTDoV1n1+qPgN8LYe09cVXftajY8KH/IB5Mk4+Nm6 cfs/WwJFzrQnZmLhr4b7u/Cb8O/YZprTjhz1vgXwJJ+llQz3DiFncNYvkDNy Yn2E58n5D6UOLHVk3qOu1JOxT+jn1y7W8Xl4uOSB4I8GV2xkuHcIevhQp8Ke oae+gV6Ik6lWpa1cI57LfB4+zJeJu/Bhvob9wyekiV9EzLd1khdBP/RCl+uG 9/WgR+g3hG/x7dn1hegRevI35A89662Ma+TBugZ2CH2vMX82DXgVLX4PPPba +66t0tRzyrJOotR1kZvsF+188VttR3V/IfTUf7Bn6KkbIDdwk6976r/pFCF5 Jjj5ibzvVsHLrhyyfZDVQ/G3PJf8H7lBT36L3MjLWHcmXoCzLondgjf+mtBl Qn6cxc7Bn7YbfMpwnzZ+A5x8D72Qrx1c1uqVzVR1n73sq7TsW2Swq6+MC/Bt eVZJ/713FJx6OPqC/8uo1nVrV1sv4wX6ia6t+29yD5O6PbjlonVrDfe2QY+e qcdi/9CvX9Xtwe4h8eKvwPXbxu4z+A3Z/6e0p2Z8UZsGrVJFv7K/UZl3Exeg d21w8ZfjWG/xV+B/7m7J2BgbJ/NK8Flx01OmtsuQeSV45aiSlmXGPpB1SfAR mtmmKzyTRM7grO+gF/rH+hHyh978yHmruD5xYv/gzRp9rTU8V33/rzx35NoZ a3JyxM/IPZpKnVPuGVToyefxJ8w/0sf829L6+TORJ/R7v9gu2a+PkDgLf+oV jAvo50YMH9mpVLbIGf4dpno/3vLJR+wcnPkO9gzeq2XrL4FR6vsOwJs1fn9P VyRL5AbO+gt2y7zHzv/kn6eeUWKH0Gdt01cYtiBU/Dz42Cettn2zyhA/j/yo 89N/2Z+p1BWxT54b3NDtn81V7or8od9SYWzavjJpUrfkd+pjsm9M4RN4asMw h3XJImf4+G5s9eJXRLLEWehveBawGD8uWPJ28M3amk8G5fsZ/BL4nXu1xrVd myB+RtaNlXkidiv79Da388naHyv5DXjHa0sjDfcMoxfwWi/2dKl2wk/sk3lw hzXOx1oUiBJ/Lu0/FDHMcD8edghOnQo75HfqYPhz6LfFTXH+ejJP5MlzI+/4 77Vse1b8ueyTPHT++M1JYWK38KcugZ+HD/N35g/gWX+2Xh46Pk3kD35oZEWt xct4iQuCN6xVr/pzdd0WvGmhxpaV8vNexgu4V6OE8NJbY0Qv1CFOuMeY/roU IfaPPFhnxJ7hk3S/16lh9iHit8E31w9sZXj/OH4GvMnMXm6G9zNir3LeSKnH Sn6utMe+2WG37q+jRI/QUydEj9Bf2V8rrFO/S6JH6BuWWtho5ckUicvQW9/e duZCo0TRo+x/V+o86BF+1IvIP/ldq7HZWOpnjpxTBmeejp/nueyPIi7wfPZT MR+D3sPrx/1jEWkyL4ae/UXoHfrhe61HFDmZJH4S/OXMmm2njFPzB7kvVtkn I/Mv1pMjnFqVa+8j4xrc/O66zRYL1XMW8GEfCOMa+h0OKUOWtAwTe0M+5Pky f+Ec+tPX3x4+U8e7tFNZF5P1JAVnPQW74rm1Pnd6PaWTel8B9NTzsSvoJ1We PvbfwcniH6CnzowdQG81t5xRd+eH4h/knkOlHst36Knv0U9+p05IXRF5f7Gy rdHl/QGpbzPO0nslV/9h9VL0IvVehR69yP0JfYs7ehtHSpyCH3zkfKLSrm+j e5uVrZwofph1xa6ad6UidJFSp8UeA5oMLHhhW6bUJ+Veow3bjvz4lCHykX1E Qz7XvTcxS+4po47ucSquSpHW02RcM7+opGtye/JEtS4v80rb6h0GVAoVHDsK +VZqpNU39X2dsg9IaT/6oN+JVSu+6p6uE/uRdeGJQ1b1ttot9kN+OGygk1ex y9myDoKdntx+1KLDFjVvgb5n3f2XA+0yxS9RBz2+5Pi3eT2CRT7kP0dae059 PE1dByG+FQvyqbrk7VkZz9BP1O1M2nwsRvrF+NB9eFIoLFx9XyT9o188l3zg 1dKS3affypN1PfSDXugn/aa/6Bs9oHf0zXPQO/qDHj2iP/Hzih7pP/JADvQT +lV7Lm9IsFbfi4q8kTP9pD30V+pL7KNW7EH2yyn6RI/IXfYzK/KnPeDIn3jN fqs6xk4v5zVRz18QB1z/3Tx5dd08qaMxn6DOJvvQlLr3Ba9M22pfbtojT+JP 8zPtnni9ChM5E6+ok4CTj1Anod4Of4s7zwY3H+4t+6vhnzq/RtSsqAiRG3hQ oNfPqOFvxN7gM8L3vFMfbx975An9qlpFrg8Oj5J5CngTm1fTjveKkfUC6W9K l2C7Ur72yB/66jNCmzk9iBV7AN9UKyrnQsN4WQeBz79TW6Q8uP/QHnuQfg2Y X/Pr/gTJQ8D9LZ9VtFiZKOuY8HHMrPu551w/e8YD9Ecsdtksb5gkcUTaueFs YOWoJPHz8Nk5o0KxyOqP7bFj6Mfpsn+Er02WvAW8QrzLPzts1HyGeyKdI9wG b76qU88zKHq3cMv4PK9MnuDwOW+9YXiDF+p9RLTHrZh/zY1tA+zB4UOeA85z v7VIqei5QM1DsNtPHff+2J6j3jOI/X+dZHlqzA+1Xgxezs9h3qar6r5u8qbt LyOjxmSp95BAX2bQjYTbN9T9CYyjFmcOGW0KVu0c+sDTdTwM+6uxQ+irniyW dOrkC8GhbzPjVWHNsBSZn0PP/F3m50o7mb+jF/jMfFZs19SEVPHPyGfb47g+ re49lXwA+lebYj8a11HPSxLHGmxMmnxugXrvAb+zngKOv2E9hf9DDx/kD15n /yndnYvq/Qn8zze4fctPH7JFPjzH9+CETdX/JEk+wHPDXhxpX7CjWreEfljd 0t6Guje4vM80uNwCwz5exiPt8W52z+Z0y2TBoe+1suTs72FqXgf95FEjfoae C5e4DM68FRw+jhbrDpR0SRac9jOfZTzCh/kXOPTMv9Aj/H91nDh0Sc0UsW/o 8f/YAeOD8SL2yvlXZVzQDnD0RZyFD+sL4MwDWF9g/xX0q5Z0PlYw397Qr5wX UOqK4OxzSYh1DL8cGis4/Kk34oeh3+Bd2tfrVZLUaxjfe726NUlYHi3+Fnxa VMMq+zPSBIdPk9ft6vx5rp6XoZ3Mc8GhH/ejQeatG+mC007mv+hL3pO5y22V /49gGafwZz4FLutuynwKPeKfWHdGj+D4K76zL3L+moBCPhPzZN+75FPKepmc R1PyfdbL+D/08MHvgf9zss2SxzXDBOd/LS0Sj5fKt3/Z78v9M1dOli1orMZ3 6Ou3Lez4yTVN/CH8qRuDQ18x++z9Na7qfafgX5qFLh5pro5Tnlvt6uKgQrWf y3iHP3U8OaemyIE6Hnkq9G9njuxpeG8R8Rf+nzoHjl30Pllw2nPtyv4KRlV1 Mn8BP9JsrKlhvxz+HP7Mp2Tfj4LLfJnzhwqfjObHS47JTBR62s88mvjK/Jj9 CeRn4OxPIA7J+QIl3mGvjG/GNe2DHnsg34Y+43PNN4b91Yxrnkv9H1zea9fU 9OoO41DJ38D7L7Yo9Sh/HGEP+KGefZ72qTIiQvhQJ2AdQfJG5bmhjVZcW1Um WvJ52r/ct9SOTw6qHnmuQzVP8xexMeo5ROW57dY61E60fSP1SvhThwSnPdQh Jd9T6KtUv/26b4L6XhzZx3SyXtt2DdS8C3rqadgP7QyxmnnHsN8YevCRJ0tc PTtb3XdHe3x2fp9lWCelXgD/Qh9+PN9dPEHsCnqptyj5HPMG5gsSFxX9Lxn4 pZEhjhOfZH3Yxehz+LMsiSPgrC+DM79mfZn+QI9d4U9oz8M1+1e5WaVJ/gA9 64Dg8GcdkHkK9PePtynSfVC62Bs4603gPNe2ecDhQbZqHQl87O3vv+91fCZx SuoP++3PrWqg7remPayzYJ889+uTIuVv5Kn7RMFZR5Bz4MpzHzS2W2TYn8w8 hX7vPznj+JS5kUIv502Uejh2BZ8lAzwWl/FU7+3hudTTwKEvkd4uYtWvDLET 5Mq8j3kCemN+h/9hHJM/k+eBkx+SD8n9N6vrfzD4JeIuOHkF/prnEo/oj7yX SdE7eoKe9Xdw6l6sv9N/6LFD/Bj8U6r84+MzI0VdT1XoWa8Ehz/rlfgx6C90 1x9qc0G9x0DOlSjrR+A890uI85f204IkboLXnlInflyrRKHnuaw3yXvgFP52 x/w9gv5JFZz2Rl/LWZu6Vd3fCD31fHCe+2jCwWYjDryW+hX05b/MfPLkvno/ DPQHAz5vKHggSvwbuFeL5m6ps/KEv5zTUtYLmBfDf2jha08mXVPnp+DUJ8Hh H5r56W2dkjrZFyjvO1XqD9gzeqbOgN2CM0/Bv4Gzj4i4Lv5AyXPwyzyX+IU/ hA/xUe53U/gQH6EHHz933c75/2aIP4QP+0CwZ+jxb8hL3h+q2CF8WJ9hvwRy hD/2j5+Ej1H0mzYGP8PzoGd9GVzei6qsL+MnodcXOXBu6XoV539Gx9bZLG6W J/YJPet94LSnd4TXpex2atzkuaw3YVfwKWOztUC0hbvgPLfzwG123ULUewvh /9G9XHiz3+o+YXnfR43R3+/czJX9uvBpMTJw19Sq+8QO6R/1K+wQuVKnYv4D zj5G4jXjnnmxnH+GXplnwQd65lnQg5s51AlPT1XzSPiwjwuc9pN34YfBiXfY IXyIp/DhucRT6MGvb9Lb1qqaKXYIjj9EvvBn/4acy1Lag11BD45d4Qfhw74R cOrN7BvBDqDH/onL4KzXg/PcFlWzZrb0VN8nRL8032wnmXuHid3Chzq2nPdQ +Hha2OXs7xAv4wL8TK+czKV+6vlB2s86OPmq2MlGz4nvktV9jPBZVX7Jz3U7 1TqhvOdn1JmHxf6o5yzkXvqxLqFWM1Wcfk2c4rWlQvkosX/6Td0V+ye+UV/F zsGp55A/yH3sIx3/mbMoU3D6TT2H/AF69sEyLsCpM+DPwZmfwgf+zE+hB397 f56TIQ/Br8KH/XXgyIG8Tt7XrvAhD8QO4cN6k9yfqPAhvkMPTnznuaz7sJ+N 8QX/v/MKcPbzgMMfu4UOfMebfXtKXUoTep7LfhXo+B/02Bs46/7kFfwv2GjO x9ZZ6jwL/MrLfkatk15J/oA8v3v2KJ72wlPsHPq1hWu/614uQ55LO1kvxp5p T+THkidfWmcLDv8O29MeL1+r5s+MM9YFsHPGMfV/8mdw9uFTR5b7o5R9+IwL eS+Aso+d+Ro4+9jx8/gJ6mDkG9Czzxk7B6dOgp3Dh3oI/hx61mfJf+Q9ocp8 GXp5X58yXybPgQ/zd9rJc5m/Qw9uEZJcbqGRel8NfIYVCe6bnBYs+7vAHWeW 6dqijbp+B86+PuKIvMfWyDGnqJt6PhG8kPlnS8daSZLn0x7yEPwj9Phb+FCv Yl8c/lf0ovh5cIkPip/HbqFn3wvjhec+6F+6acJC9d5OcNMpKbPbNE+T/Af+ FU2i6zUbrcYF6I/oCh6KTo2WcUf72S/BuKA9zZ6erT66d6L4f57DOhf1LtrL +RfGCzjrXOBSf1XWreADzjoX9VhZh1HO0YBDz/oLdVrw8D/NjYx7ZMq4gw/n QRh34JwHYbzIeveNa+MvVcyRcQR/6oGMC+jZJ4/9M9/6qWsXa9jXjf1DTx0J HP7UkfD/0LN/W+omil4KuZs0NJzPhR58fWTSuW6fkqSdtIf94cQv+FN/IE7B h3kc/OHDfmnikchZmT+C0y/mj4wj6NkvwfjlueT50IOT5+PH5V5zZZ8kOPTE Ebl3kn1Ag+OLnbmhngeHD3EKXPanKXGK8QY9+wnB5b2XynikPTyXfYmMT/gw 3uU9m3Kv3f/GO9+hZ/8b33nu+Qf3Zz/tkCrjAdxlXrvG5QLV+TvtYX8ddHLe SOEj+5oUfvDhu+wzVPZT4U9kv5512fiRrj5y7k/2y71x2LP5P+9nlP1Lynq0 3A+v4JxHk/vn2dehnF+T+6AUnHVY+PBcznmRf0LPeh95Jjjnv4jLcn5IWW+i bgvOORfGl7xvUKnXyb1PCk7dQ+rtCs6+dHDkyvyUvJF+DYoZvczwnnrimpyr Vea/cs+8grMfm3gHf+YF0IMzL6A9PJf93sQ7+DMfkf3ECs7+ZPIz+JOnQQ9O nkZ7eC77n+X+K4U/+SHxTM4FK3EN/vK+ZmXfL+MOPsRN7FjOYSv2jBywR84L ML6wO/YDM16wL/aFSvxW8p28Wm/7vvij7h/D3+PnwfHH+HniiNyPoqzv0F/q HvUy11ao/ku97wK/S74ETv/Il9Av/JgX03/kzTlZ7FzO6St1SNbFkGvE8VXb To1OkvEuflU5r0q8Ri+dh7b1eqvNlfVU/Me7RNckXVK8rL+SX9jf6/vHvbi6 jsvzc/oWq7DGOlv2n+M/fFaOX5Rz+4HkgfRvyCf3vrV6pgoOn+7pa9/22ame 24JPaTuP2O91AsTO4fOw32WjeV/VdXP4lJpdtcPhtdkiR/AP7csYrZyknmMF R27YMf4Vv4pfws9Fz8nc8Cm/X+T5yLt/3XONzw5JFJx5TMOOpU5HrM2Q/jLv +XTTPc//WKj4DegH1v1V8Z57uvQX+ntLLf3a9E0RHPqCRSom/76q7s8Hd05c dKBegzzZf4vcNAd67ozWRUp+C/2WFbdC3S+mSV5E3se6GLicF1bWxRgPcs+Z 26n7EflxgfHAODU7HbnoXnyi5CfweTT6UnaVGPX+N/DYmAoRj+e8kXaCY7fI Rd6Do+wbpD/g7JvCL5CHdhvr/ftVfjvpF/O/BtqtXx7mjxdw9jloWi1pulin 3vcL3qXuU8ftlukSf8HbNjl9p3yFKMnPZZ9Rk1tO2/LzeTk/z76G5nrHwg0y 1ftplXG5vvuVofumqvuxwY8XaLD7yfQ0Lc8FZ/zK/nwlj+5e931qkRfp8lzw L/l8aiWq8zXs/UxITc8e+9R78sHHxlhvfKRX94HDh/xc/A73B/b33BkQHyp5 AjjjCDsjv17b3PZ4Un4egr7Bc443qnrwR7LYD/osMWeFUY3KL0Qv4HtHZt4b 8jBR5IY+mReDQ8+8mPaDm4TEfi66Xp0HES/Y7007wdn3Jfs/FD7Ym7x/l/u/ n68/rV2QIvoD97nivqFZe3XfCOtEd0dUMe/xVb1/jPEXbd+skF3nDLFn8IFv evXo9SBcxhe4+ZmGUYbzLMgB/ODw59OmTU4VPYIH3+vi3zI8V/wJ8ZF8iXEK /YAHfR916vNc4hRx0OtUh0mz3HWSB8q5VcVvsH8D+rI9OtgkX0+VcQXeaXhY pWcL80Q+xJ9d7fRJMRr1XAp4jpFJ18trk2Q/EjhxCv9IfrS/kPnLc4WTZLyA b/+YdMS5kep/wG1z5gSMNYuT+hX44nkNLx26qZ5PJ765Hx61LiM+Tcad3PO0 OO5FVMc3Mr5kv48yz0Iv0LeePfHiyFuHpb9yzs4rcLh7yWzJ58GJpxKPucdp VOeMLkvDpL9yXmxzwLScPZnSX3D/9F+96i3PkP6CL43zWGE4p499UidhPxL6 lv2GSh7FuJb329/s5l40QY2b4Gs2lS9luJdP7nlX8ED3BSeLmyRLe8iXrjo/ bmk4T4TfAWc/CfEaeR/tENO894wUiRfQk08yr4ee9V/sEHzfgB99y5n5iv8B b9p6xM/woeq5cvDauWWmTF+ZJ36bcTZtX9Qe3fgcqSOhZ/Yn43/Ii9361xz8 /qR63zV82CeDHco9BDbNfDRrAmSfAfjhX/cqlVjxUMannJ9S1vsYP+Csj9Af 9D9lVWB7q9m+0l/83IvE6n0bDw6RfvJ8nks/8XvHGvhYHCz2WPwweXG7lZsj DPsomCci730tK5WaMC1c/AZxkrhM3EXexGVwufdGicvEOeiJp+DQE09FLsTn ldNLNqmqnn+HD/qlP9iv00KzBu/z/ZK8b0kZf43nn52ffU19vxTje2F2xdR3 JbNFj9A/m9VyZlNn9dwu9Oadd34t8ild/BT0+DFw2oMfY9xCjx8Ahx4/gBx4 LnVFuYdC0SdxHxy7Ju7Tfnl/pefeWub/RApOfjHordud+ubpsh4Ezn4bxik4 62j0h7h0JNiv2gc79X5suQ9Y2bfP/7EX9oczf5R8tcHvFh/z/S3jUd5fOdCj /z/nkgXnube/NT1wqk+WyB+cdWriH+0hPoJj78RH7IzxyDwOewVnHif3QfBe ZSU/kfcscN+Lkp9gt9C33vzrQNts9dwrOPkJdkJ+xLoh/gGcujH6Rk7Ms7Az cOZZ6EveM6mcd0Af6Ae9oA/4oBfkDo5eaB/82T+M/OHPfhXiBzjrNfhJ+BN3 mH/KfgHlHBP9Rd74B+wW/eAfkAM4/gF7JQ4w38FuwJnvoEdw8knsE7/LvgXy DOjJc/B7cs5ViTv0V+51Uc5V0S/GN36MfoHjx8AZ95xbwX6gx28wfsHxG9gr csae0bvwUfaB9yzf6uvmzIoOzr+3a+ePL+EQuMJr7656qdIv2sM5L+yNfId5 MfYJzryYdoJzToRxCM48kbwFnPkReZKcO1HyK9qJ/XKODPmTf1GvwA7BqVfQ fnDm77Rf7qNQzq3IPFOhZ76JvYEzT8Gu5L30Sp5Mv8DJD+UcoPJczrXRL+IA dRX6BU5dhXEBznwf/wDOuQzkD848lDwGnHkceZTUsZT5C/4BnHySfsn7pJRz dtgD+Q/1AewWnH3+yB+ceT3yB2c+SHvAyWNpj6yzK+f1yHvw65zLk3yIcwBK XsT4lffLK+fFaKfcC6jUE5Cz3FenzNNpv6xDKfNW7AeceRP2I+tfyjyC/oKT n8v9Ztz/p9TNmE/h56izMd7lfgXlfjnaCR/my3LPmIIzb6X94MzvGLfEc+bX ck+K0i7ms+DQM5/FnqBnPggOPfNBWe9X5ME8C73iD5iPwFfud1HqwPCV+wuV OjD02D/1Xujl3hel3guOfVLvpX1ih0pdlLyI8VHF5Hdv/2qpki8Rr1+/a3c+ xS1D6lTEuyMWLeYWGh4r90hQ16/oGBVtiBfEHeLa3RNjc9PHPxJ/CB762bRG c7sEyX+QQ1Tykm3G727LOgX4/rvVtxfxTJI6GHI46VdnYnOvO7IfA3zK1hmZ pbeo57J5DvxpN3iLy3veHluWJutr+EuXb9oBE3bHi16w67itYbsTR6l5F/j6 toWnNz+aLXIgn7niP6pGj3y7Qg7gJy6Ge3l8WCz7cJBPxP5yIU8uXBc/Bn7U vfrnmo1D5XmMA13hNh/y8oIkf5N7qE62rFXT+qVaD1X+N+V2ovOj/LiGvsGr pncoZdAv826eb2nX50nUDC/Z1yT7hnp82d31n0Dxb+BmF6zmOO+Klvk7z8mP vsUKH7gmfGhXbrGmrct7B6vruQo+Nimw7AirRPH/5CmRhcZM+mfQS8Fpp42b Q//gh0GCk2d2bn+/RHyXUMFpz8eeJQu+Xh2i6eeU++2nZZSMJ5drt1YPm/1E U1yxA/pxPFaX4+lx0B4c+lXNqhj7F4rQLE5f9XxF1Huh39G5QyvtfTd7cOi9 Q3o27m6eqJlOvq3QN6u8zcnTw8N+pNfaoU4z/whupg/32bv7kj1yAV86Yeef B/ev2tdo2+ndvV+FBY/peaPmjWs37M1rdLndpmtJ8WNTxhQ2nvdTr1n2r7vl 0VnqefaWb57+27qVn5xDBx/aY1ShG9f87edPObM+ZmcFwf288/bZNnpij9zw NytKHKpmkAPyAS//5W3VvQtSRT7g6QPahqz3z9HQTvBgO5+gExtPyHgHN8vZ dTjwVaSW5+JvtXPNB1uEJMhzwZuXHxwau0PlD/5ufKsv+gS98JFznXNnORna CR/wej1Mmj15r5P2g8/s2Puq/Y9s4Q++YsP3ByFb1fUg8IqltgTO06aJvZG/ 9NyasvRKnUx5Lviw+f2CVsxWnws+OrLJzV2f4uS54BNuNl1Rw0OvWbPm9IPR 3czV90x97jSowuJg6S/5xfxGBy8F/cyW58o6xdKzTZfUzpbnynt7yma1avv5 iJbngt9w39Vm8KXbwl/utzzcIjkkIVf4y7pDpeqNdmqThT94mXNn+94onSj8 5R5TvU/34QNVfZFXdj4U+qWhb57wBy9a++isS8dChT/4mvbVqkZvzRb+4FYP /OpnHtGK3MAbet1YePjhU9EX+ct7x76Zww6rzwV39v08fvGQo1qeC77FdaFT 0sE8eS74zELjrlgmq/evgp9aEN2ouPtD6S/50U+/jUE/HVV5gk/TBqwe/jlc niv5VJEtJ354ZspzwTcfPDFraYCflv6CP5zUf0BMWqz0l/zLbkQH1ytDVTsB b3jc4dfbTsnyXPDvm7d3ywqJlueCT6jQytd2mHo/ALh2csbUBtEx8lzy09Dd vbd0n5QhzwWf53ty9oFBGfJc8OkfC7+OTnWVcQFeb6NmlKd/gPAnz61uZl0s 5HaK8Ac3aT3b43yDLOEPfuzUmNVTnWKFP/jOeeMtxlxT3+sNnttk14TPTVNF zuDjj5329I49Iu2RdXj3mT23548L+IPn1HY/9N7rmdgDn3vWFitZu7i/tL+k ksf9tur+c+zoELH/p4uatrv5IUTTvURHj2klXwv/QQqfwOQpJu28dcK3Ydfp X7fnZWvW1m3f5W7r18KfzyKdjyXFbFPHb6bftkozh2ZoBrw3GvdBlyH8bRU+ t8ekZw/o7y/yIb/q/8+HNr+enJbnHrLO8zY981FTcrebZUYH1Z8XVfLQbyOm NDHTZQn/wwp98Mbe9Uav0ol8Kjc8u2Ro2A/NQsvqOm+LVKGvouDdx4bHVuzr K3ZIPhv14UbZJrZqPtD30OXKr5wLOEz1qZp5vESm8AHvetNmcx9rnfiNB0u+ 1iriauSwu9G2pjc6qXraUdnl2/sKhR0yRttmNWuUI3L7/S28QH27Qg77V5hu dCroL/x3KvRfr3b6NeLmHeETfHT6m/KXTRyuVSk04/rsPKEHz3rbJmLOjTyR g5ny+3NFv9Dz+SY9ekehX1eEfqCb5YGxcaUdytodMR5dXK/qnXuuFH3xf+hX HA0Z0a1unrTzmfnqNh3umjt89Ni3put49bngwXaF/NcXVfWeNTDPJmxDGYdH nV+2fOCXK/Tgd9wiSu9amSvtLLZvVKUpA8o5XCnk4nu5ixp/wRNvTV625cVa obd5/czkS9UKDqbXc/84/04XevDeFzJW1ruXI+2hvhW5zMK/aqkUoe+l4Ebd elk7P9mtRT5Nlbyy1cbw5oM7XRf9uiV//Bm99bHGaO362iuzVf8zXRs6qla9 RE3OwbfdthV+KnLeyjxjxOP+w3ZEa8gDz3a43KarNkUz2jqpR3mvPMF1yrjL 6fyjgPURvfCf/bRz5NX1Ok31xvXr3H2h5qXDz5jFZJd6p+l9aEzi3sk6yT/T lXmJf4crgw3vLwDP/AvnuUMUPtHnuhX16JEj+DLlOQ9SiySFnsiQPJ55ZJGT Dy2t37+U8TJU4WM7cpWrdVe9lrwU/PT0WV0vTkwXfKnCv2zHieM+BASLf472 fHbIrt1XTdy+1kdv91Dbz2fJjLPzfnxLke8zlU8TBac9bxQ+T75WuFW7ZLDk yeCDvj/bPfBonuDfs1tu9i/6XeOSUjJyWE81Lgcp86CpAb18h2XrRf5jFDk9 VOSD3PiMMV23Y9SvFC3ftYo/eeo7aVvxC1kSR0Yrv99fcHnP5ntZ0h7wWBOf ie3uJIrc8EuJ32f6fi6cJ3Yr7y29lFhiw0M1z5wXVa34hN7GDkHn0xccHxsm cmPeZBIUcK2wU5r2b7yUgtP+OQqf7x+Klf23qF7wP4rfG1kz78pdU/W9VMzX qv7RRfYdEahlXhN/Z6rFoakFHd4scnL9PGCf6Guuwn+rceGBc92zpV+yTsF9 UEo7qWMUNd8z3/A+hb/xYgpOOy+P+p65PqWIw4PiY3ZV/JwseIcVVxP7PCvq EOF6d7//1RhpP88dnX5n2etnIdLOKwqf77qkGaM9notewB2nHSww4rqqRweF f7M4i+UVaySKXVEHsFPWO9DXu7iIgHNOxR0WN037x81P1Qv1jI8xT8ob7rf/ G/+g4PRLr/Bx/dTXuPvB52KXa5Q6f/SGyunHHkVLv94q9JpSVj8ebVfnleCt 3m4qYb4iW/rLekHBKaV9XXrpRV/yHmblPgH61XT89bNB5qYO/lvWTHswRift p97T5sz3nB2jQv8/3E7BaX8ThY/Z9F2be5mp/srPeebx/V9MHda/Cz028oka x+0U+jW3K9u+KqaOI/DuzTs3c+7xWvr7SOFjV+jk6UcNszTMl900P72MG5Zy +FjLuc4AsxjpV+t3AR2Xhps5eJdu5mJ+Uu0XdamDkbcH7tFGaf7G3RSc9sPH bPfJuGOH1X7Rj4eKf+A79FGui/f9KZ0q/nOEXQu74ictHEqNXThl3JZ0aQ/7 ozuPqZFnuN/jb7yHgsu8SeFzdU/PYZeX6kQ+4O2frL62/aZqD26PzL10FmUc Gu1NfHEiIF3WDanX1st1P6Kfd03kxv/qK/6f9rDvWFfzmLHhvQx/428VXOKU widQ8ZPgD42djznHl3Vo+HrP0vJ5atwRf1/85st+h9Lk/9APcFlWwC1bjTvU LxeXc9u5d2ry/4cvVHCee/iGhblty/IOJneXbL5bLk/ak9RZ52JxvrxD/Cib Aw9K68X/Q+/frkK0qUWetBN8X6ONMV59rwoOn89bPK/c6p8i44669cIzrYoG ftWLPdz95GzkW7Ciw9SdW1pHvkiTdoI/WbX20Pa2qdLOghtHr3BfVNFhT5v7 EYWPJ0o7of9Qw2ryqNvpIjfwCPM/ZXSlk6Wd8Kk6of3GJmfU+Q51p8Njb708 77FJ6k7UC6dMePp87sZb4ifB0yKtWyyd90Tkbw79k1ZDe1aMENxSwef9hT9V 6rt3Nzzra9jfAh6k4PcVHDm4KPnezMT5z5sVei14mDL/GnFjxqSGBxIFpy4X XbvEwzZe6n6bhko+Wfpshc7VXwfL+Dqo8D+/K6l47vFUwc8r+eHFa+GlouJi Rc7Qux91m7LEPkPwF0p7rk8tFTNyozpO4VPzdJmw9TU2iV6ylTwzdnjV67W/ Jmrxb8i5UqVl6QEF9eL36NeEjBpD622Nl/F7UeHvvKff40V/UkWe1PdWXtvW 3OGAmmeCP5s++dabcXoN+QB191s2sTcy7ukEJ++deHxHn8m31foY9MZfsnYP LKfaobz3aq3Ha+creukX9C5xnosSFmfIeAlQ6vr3ppZLGb82XeyNur53jbnr Wq7KlH7JfpgTF8cb3geEfqFvd7r6mkWD4qW/kUqeOdvfPK1zh0eC/1DyTN/b mcnWTc5KXQU+moO9ajrMyxB98Vz92BkfvR4lybzgzvRRnicdP2u6HBoSHzBF zSv+3k+OvlhPqDPicqTfNNWvghdX8mfaCZ7Yu1zgII+LQk993jdmylXfdSe0 f+ODY/+HIx/4TNTdrX/nP/6ZOqqtcYfko26Rkh9C76xPrnt8jlpnAz/0sU9k lV5pIh/4ONmOLrisbrDIh/ZU327xzxEPVb/gdU6UMTvdSM3nwV8+aFHtxc20 /6+/Rkq/aL/0t1DM1P5mGSIHqd9aju7yWhcp9ODvrc6Xj+usk/6KPCOt3ndo nyY49LFN1izbU+W+yAH6qCdFdZ9/ZIjfAK80IMjWvmuqjAvy6mC7Pe9SrgaJ 3KhXrDQOv/8hOEzGO3wm1wqrMOhBivht5gWz1y0Z7WOp1g/BB9zf7Xr0jppX UE/u5HG4pOG+SuwB+nez7bav9Y4R+fy/ys4zqquj69u2GHsh9q4Ye+8FxV6w E429xoJdjA2N3YhiQVFjr0gsEayxRBQUsYuIDRAFQenF3svz3Cv72nOv42I9 7/spKz+H8z9nzpyZPXvvubbGyU/95n0kJkH7gfbtTs5K/XjpoX53WlfrxeXV K2x8dH6gfVrdEO8JH2O0HzSvLanh8t/9d6nOdfJVf9H3ScsU7Qc9R+V7y/5z ReMPYX/hczF0yZvcyTp+Dov9P7JDjzbZll3/Zj+SzbIfQe9666eOtwpGaXv8 5EtPN1r9n3g0z0v7zmcDL2x5GKXzpNY/z/+h/oHyZl5V//zeFxsfXnmq/UP7 vD3svMY6x+t4oL3vam//vOPv6PxJ+1qr543PMcHMq7T/ZJPgtC35jo4T9iOJ 77d1Cp9k/BvoKx0H/RN4y+xD8c+H5I1y3lzH7JfRn112bx+e96k+F9dp2mNX 3uANgfpc6E9GnE36vM/YIVzncauKc8rMeqj3T/vnVxxD5uZL1PfLvmP4pyte bjdMXADdbey+L40e+9tb9ykNLPsU5Q4VWf593iymnhx60PU60Z23hGr/EC8Y edPP93Uh8x5pn7L/TreILkk6Hmg/vNKO2Zkb/63zA+0f2ZYLcgky53HQ23q2 r27f33wX7CPe1HhRefbXcNWZV9p1cn+97Ki39hvXKeTV1KV41ge6nir3SbjK 6Ox33Br2KvZz/0tql2rcftSR+3lskr/ZN22x7Ju03tfJEWu71zF5y7T/YdqH 4DBXs76wT5k2sP/XJ+OCtZ/Zp5zMu3fBtPGHtJ+5zriRvjn7t4/T+YffHXCl /pHrA65rP9M+9bueGWIqP9Z5WHkPa6YH/tEvTMch1zl++PDkCvvjtX/0PK7k LaOzL6uV+/u+h3o+1H5Df/s6rVWvP2O+2d+1lX0cz4v+bEunCdunnNP+JF7T ce6D0/+pP0J79E2dK9fvNSRY+0Hrci+NzF7t8B397rTOeMK94eVtEtQPj54v 503/k54huo+gP9rLuGKfSPvjj909avUy45P7ibfvk3dHxb91fqb9DL+IOWV+ e6TfKfk+/pLXjc7+scP7SbtXVH+q/Ym+oJVfzf1brnyzD02x7DfRHQYePOUV H63tiU+9KFZj8oWuiTo+aX/8L/8yF8vd1fFJ+yfJoxKbnjfrHe0rlb+6LMdO U6+Z9hG2P21vGXlK+5/2dQpczt3swyMdb+hvjjj+Wu6vRO1PrnMoaVw7vzlP tT91f33p/PMm2Y3/jfdzTepo02/sT2d7fi7n/ftNXQe1znXIHK9rnje/2S9P tuyX0ZsvL1mx+Owk7R/iaxfGpUy48Mh8j7SfZV+k/Imht7Qf0EcNeL18fVPj f1MuQZZFH4vap+o8pvXJR3nvqzzExMs4371o+S/1uu57rOMKPWZaF48fI+L1 vaO/2+5ztsDmE9/oZXb8q/Nc6G6NKny86Ryp7YkPxlyPu5zPzdhF6IW6n5mb u/t/+VHlOrlTSxbca2PsYdrvajOpsMfYaH2/tF/5uN3nVV2T9HfZ3/2Wp/nE 332N3YiesrR276gc8TpPss86cKlf2uA4s19gn7Lnb7/JUzo80v7Ebv/Ls/6g 8d2N/wS7fZ/fjayD7O7o72L3ZqkyfP9652Qdh9ghpfaEFHkfaOZ/1vcOd2sM 3ls33uyLZX1Mdnpp28/dvF/m50F/dbiyubyxT5if89xa796lW5S2Z5756vKs r+88s+9jXtpQqe+WD9FP1f7hO/p18tCHdm/i9TqMt0atil+vt+upjiv0wKTM TUL2xev3xftqfa5mkfq/mngHehEZV7wX9u81vQ7WOjjfxJ3RQyNu991zLVbt AfRqGR2uNfWJ1/UL/eXD4rkvDzHzBvoQ9x6NfcsbfoieG/Z4ETuvlsl/YN99 tt69I/lmGd6+cvEPRz7zSYvS+Z/974260y++yHtGv1P0NqsOnHjT746OZ+W9 t2+6OO/ZQO0f5ZuOylmg8zSzH8RP4vu1SbbKvU+bOKboXfYlFMjfPlH7gfap v3TpbZshRXWuN/1a6uR6X0ychf8eq5+44lR9s6/cJHHt7s//CH3zMk1/l3// Ycmnr46Zk3R9JC42bOKnVIceyaoTT//Orvrnwtuf6HdBvDt/+J1iTplNnBfd RnR+7534Hy6n1PPLddT4B0pIPD3DOeeGyc4mbkv7Y/XrP1zTyvgDiZetCbRb FrTS+K+I19ebUupG6/+yn/Xc8LWIfyrcSUtX13VE4ly/F+sy7FUxk2/WTeL1 7oeSfqlR5bHeJ3Ex79FzU1rtSzL5ftTl7lUl4tU/yenqXId9cWrl6NEvXzzS 50LPUKxW5LKVKdoP5APsn5/N1WaKidcT91ky9n2bVoVMP3B+pEz1ISv7F41N V+d+uI6dd/MJaxua8YA+ucf8PjlbGr8i+QOhBy/Z9Hxr8tOI12Szcc5Z928z bueKvirz2cRfi5n5h9+3kfHJ/3OdmX/5r/2z1UO9H/Ss71Z4ONsavwR5CxXC +zl9nm7ygoiztPhQ4sWTPua9nxN96N2vK12Gper9/CT5CV9rf1m/c0Oa3g/X WVKkyKYy3iZ+gf520JiaSUPj9T7Jc5iQMuP7S7EmD41/t37X6E7yPaKT/9Ct Ze2Lvq6mf2hvK8/L//Pfy9fOL5n3XaDeD9eZGdam1rBRIdo/7FP8r5yc4rPf 5Ifo/qVxsazx2cw4RI9+khBfxCVJf5e8i5sVR0Rta5eg1yfeEdIr6UGncSav Er3YmCWNHv0RptdHD3aYPuT46QjVydMILzUmLa5Pks5Lel62s3O1wGZp6er8 LnGNL/n6zijgYL4XzgusLTpkc7Pj5jro60TnvRB3aFjv0D7H8XH6Hsn3CPRc 1zzZy8zztI9YtqiI7x8mvkbeyKTuXYo8amLyMbqPzJm1xqkD9hGrL5X91HON 6vjnD/zyT06/o4eNXSR5UzvLDg+6Pdvs60dK3kgzrwEvy7wxfm/86sk57AI8 l5j1gvYttv3R4/R9k4dD+783TKqRMNXEK2vJ7xb3cal/5G6Krqex4v/vWauq S8B/2YFdLX579Ipi17UVv7fapeKfX9c5eFnoEhNvxW8/evGgvm2cE9QuRR/x uHnnhYHGDncSfYL9rK1HmkerTn5LhuPNGw3qPEd11tPwnU0ytk8x/jrec+wG j+YFC5l8tuPiJ08u/9rTYYV5rsryXK3luej/E9K+1b7Gc/NNfaL2FXkpX36O uDytZpLq5KF1HV4qceXjNNVZN2/XXvW5XLVUHedcf2aOrQvDwozO9VdMadX9 19XGL4efP6Lolmo5Mhr7lnW25NCgmRN8zP73quSrjJB8Fe6nyfgCo+K3fbb/ e3Kz4/18k/U+yTNp0LRw7ONbZp6kfa2T4yZduWTyZMiX2/R5xvTZscnGnybt 58xfO6xQktEHyfW3BV65Wvpns6+05qswriIlP8TXxuv18AHGX8o6W2hVp+Ij tpr+J7+ubd2n+6c3T9TnZb2u+T46q9s5Yw+TfxLW8odPfn7mO8JPPqZ6zKl+ m836RXs7F7eQyj8Z/+FD0Ufm7fH0Q1ycjkPybRKHO65q08OMt1DxM7cTf3h6 /l6etwz+TnkvPBf/zd7srMO66in6vOSfDKlXsdCGr+a9Yw/s3l6lhOOrBNWx H4LyNV6Sej1Z3y+/29B9V73SbiYOWIr9392YeacWh2s/4PcuUa7kuLEHzXu/ Jb97w7/Iec/gGNXt5Xe3tLN9lqtnUrr9gN5H9nd3xT/M/Q85Uzo4cm32FsmT wmz3hT3W59J8lU05XJ8dMn4q2r+oMX7CxaXmu6N9SFiDvaPXxer4p/2gi5Xu LjqWpP2DbrcsfMOR7sbPjJ0T1L3J8q1Dn+jzDpb28wotudbowALVyfOJdmr5 T6ksMSbPUPJMAhzLuuZpZsZJv3T85Luk/QfbDrF5xsXrd9RD7BzXLy/3PGpk 1heu/6aHe5fwd1Han+TDFG86atvmEsYfhb3U382+QbdoM79hX8V2mbGj/Jck fS7stCm3hhWr+aeJF2DX9Y97P6FReIyu18+HJF9cMzRfizytWuTP4JSqz4Xe 7YDdpZZ2xj+JvbRpw5dcO/933eN+aO9Qukx0g11mfsO/vb/l+L5fnprzArRf V2F/JedGZh6gfbfMoQcXzDdxB+yo7vO8fVoHxZn+FLtr8ZJmhde3NvuF/Lv6 Hf+xuk2LkaM2b7G5a/yZ6L7dB/TuE27yPbh+n/azdr55cVH7LZ+0r+xS8NOb LYn6PfYT//a4a3t/z/Ah7hu/bhfx61r9k6/FP8n914657HXi3Q8tcnR/92Od XUbnvhrIPED/0H7/mgm1Jl038VnNn5Lxz//TvkPMqmHBtve0H7Abt+3NM/x8 dzN/1pL2PVfv6RoVHGfiDsRzGrecXLh62jd+V57L6gcIFj+AfhflG67reKFg iwanPFtte2Dyc8gfzhYWksPHLknvn/bvSpbuV+z3R3qf3UX3CnKq/s9No28S v+ht7wKH215Ltf+/8nP4u2SxW7ifyaIfkHUTHbv0U8/h2++nhug4V3tK5md0 8nOOlk0pMLVPrOrYw2ta9hnb+Z2JR2MPlxo3oVZAKWO/cT/9pP/5Pf77qoN3 jYZPfFXnd2tkWF9qfEKs6vzumdyDri50MPMGvzv2zqIZmyON/YN93XDjfO9l 25O0v/BDbjzeoOHwEJMPGWfJc6afyYt4efeXzGHLzLkqPcd56ETVKn+a94L/ pFDkufnta5t1Fn1PyM41A8+Y+RB/5q47n4v8k9vkdymnZ4Z3xLlZxo7Cf1Vx 9lWXjs7GH5KeXYRev+W5uEWbzL4J/8n8qR9/31HZ5P9gt/junJkc3trEQax+ D65PvNv95Rw3VyfzfZEHe7JhtZb/4TboeUa5zprkuKyfDqdoPxBPj7aZ8aH6 NLMf5/rH8zfoX+eV2bdynT+fjxxbpIvZj+MP6bO69YSV7dL3n3Cf6MXnbinY 9q25f63nMLBHvi2zzX3SfuSoA4sO5Df+H/TCPxbv6dE0Ve9T6/YczHfm7QBj F9H+S+5SXzy2J+r9Yyf0/OVSjY1ZjP8Ze2Pc2xpN8tcxOlyOmsvCNzr5mvyc 9PJ+aT8m7LTdll/i9L2Qf+syoNWf7qXNPpfrtDq/fVLVRGPvab2gDQEncziY /seucEs5Oi28gtn/Yiccn/RTyuiMRsfv267kxHanGpjvjnjxso7h03q4Gn8O 8eK5CckdRu4240r5IW5nAjLFG7sFfWcb244rN5r5Svl+Tbpl75rBfBe03zC2 96m+tc13wbrfNHVpQnaHZL1/9PInbyTU7WSeC3uggePUnoPuGL8Q59HLli52 tXOuZL1/rSMXsKvp2Cxmv8y6v+OHYn/uO/BI74f4b4mm5Yo/DTXnnmhf6nmX wIeTzTghrt2u79yazgdTdJwQ9xwQ9jbtXJyx/7EHFmRZYZ/jvfFvENdY5ZL5 St7bpn/QK5X3+X1a9SS9H9bxta28nffuMf3G3zE/cz9wDP4skbN21SJm3kNv 26DV++ExRicO4DRmX8SR8lf0+qy/hep0Orbqo/FfEX8s4TVslfMpc95W4wwS r2Q84HfyLLg07vUlM58r78I3Q4UK2YxfAv/SqEa5ptsNNP4T2n9e8mGWp02M rlPMwwU8npXO6GHmfzgGbomunRdWMPlCo8Xv0Xt2oQa/HzK61iU4ki/8QJxZ p/ADZCs21//msat6fdadX1uuvtzHx7RnH1e49DaXOgHR+h7RW7lv7ZqcZM5J sX/cGr2247Qx5v0y/3t8TOtYrlay9pvyEJ7ffnu1vbEP+ffKedanni0Tov3P 9fOH/TqtS4EY1bnOotgSXT0OGn8y+8Fn95sGD15n7F7aLy/8ZVbIl1h9Lubn Cc5ejeeUSdX2ylu4Papnwy239bmYJ08En7rTpaj5XtBd3fr0/jrmqd4n+6aI cyeyz8xq9pXMh6NiT/b6MtScL9N6iK12VGlVNFLfC/NqnzdfJ37Y7aXPy/wz slfxqgMKJn6TV/Ms9N+8Gu4Tfe/47o8Xz0zW+2TeqNnX52qe8LvmfLTMG9Gz n927/Yfpf+af2u02LLOpaeI7fO+7t5S9XW6nOXeGnj2t8HmHniZvk/lnZIHK R6r8bfxy6H42tm9frzTzG9/pnaTaEWcHJuj1+d63paamfS7hp/2J3twzIXja +vvm3KjMA0071vT4eNj0v+Gvv1vkcSZK7wfdfpF9g6dlzHyC/enYsuoouxWG G8D3nvfq5x/+2y/B/uKK7C/0vJW0n3k2a+VPWYxfEfs/k82dt1u/i9Z+Vk5m uOPbT3WMfUv7816L8s8Z/0DjpMTH3wX97N2o5nWdl4iD3/DwabR4u4mPE18u scw2w95hkcYPBsfee3Sj8Z0fqE4/JKRlCXX0vK/vifj72BEfPQd63dbftZG/ m5zpRKFt7cx7J66UrVmbhMM3TBwZe6DL89krE089Vh0/w96m83aOvWv6gfV0 r90v68vu2qb9QLx+6t5HveeFhOr9PJPvaNfSqLN94sy+o4ms46/qrB//28u7 Jj9c/AmuK+oV6djNzDPz5P3cOfH2++KHgvU9st8Mi9q4sMGIWNUZn0WcB87p PcP4JRifOS4krA+raOJBWh+kybiL48oavxPX2VB+xNnfOpi4Evc1RfoZnX1W VG+nawENzflH9mulTv57/4xP4u9X4394aOdv7Gf005bzEQ7wQCz5/OMkHtGk 2/Zat3cav0FNiY+UTI66f/RmgOrbJT6yrf/XQ1ULRajOufW2sh6hE5ffVLb8 8Oe5TD+Tl+LRvUKp/+Qb0A+cK3Eo/mXYti3/KC+lltzPjh8jz0b1uaztuZ8M d6ZfOLDjsbFf5To1MtkuWrP6THPdp4ie45WnY5vW/qp3k+vvd5v84mi1IB3P xInKB5f7bl61WzquesvzXo2b9jjbkljVA+V5w/ef7D/qi/mO8sp1yo3rfK/W DZOnvUfuv9YE11xt+yfoe+E9nj8/NezsZ2M/c35/56/7QmwWGv8V5/0n7F83 NGlSsl5/uLzf0JklnfdsDlDdR+JNN6ut+7L0doTa8+yjx5y8X/TgS2Mnc154 auZXoUeOmfHzh8Rx9rzfOmXN08eqcx33BT2/cw4weVzkP2TvGflpU4kQ1Wnf bve5AdXvRem6eS2dc7uNJU5xrHls0ZZXjT3Mfry/19iE6QeNP4e8iE/Lo3uV OmjmE+I7i8623uZ/5bzqmtf07tHFG3nM+VxrnoPmuUk8ZXi33ud3LTT7CNpP 8rhSZc50E+8g/vKw+Pk8NWrdUp38h+PTFs4b52e4K8RxVi6a9CRD9WAd/8R9 nHpVP+3rE639SfsyBf2qFWq9Xp+LvIvfl+4u/csGMw7J06h57N2sP3OZdYF1 qt2U5fNGt4rRdZa4TLupJQeHu5q8a/wAT+MvN+gYac4XYO81kvO/Go8XvfeL R283ujxQO5w4UZE3bR7GHjLng7h+g8OJYWULmuflOnNzZnzSvcB/nXuS62TI OP8Pt7kXVf8s9//mbqaqlUua/En8HsExzYISRgTod0G8I+JBtvm1a99TnfhI vhdp9Za+MXYv6+yxlm93V/beqc+Ln8F95u4aaY6Rev+a7xEdMKv0Qi/tB67j eiHgdcdPJs8Eu7Sa5Xwu+uKXp+2eOqWonYOeJHW9GZ/EOxxl/DAOlccg9j86 +SEtqjt2CbRfru2xWyrd2v9h8UcTV8K/8WnpuavfO5rvRfPM9+wMaBto8rKw K6LavO7/6vJT7U/m9ZVu1QJ9Dxq/k3IHz7Td1/14vP4u/oSorfsz3+5nzvNi b3hJ/rnmyYi9/ee4wWvvtzd5ofgHZks9X+t1/pLroGOHZxdOsq6DYp/Y2Tp2 vP19qPYnz1FO9nfa/3I/BzYvrn726SHVsf9Lvau9afP3N3T8cP3KM/yv7Bxi zkdjd21YO96lQcA1bc9zlT6w1WlYBWNH8VwFz3lOG/7E5JURH1lVzNv9/HrD FyLe0a/D8/muGaJUZ79ccFHQz0nDH6vOPmJRqachh+ve0XHIdWxmFIm7UjjA zxoHcbDkt3P9ed2Lh0y4ucecK5d9zYkNN11H2JpzW/xuqTErvLNHROjzJsrv vp/SdJ5zXhMX3iHPe+yXdw/61zHrJvcz3qnvgqL1YnVdwB8yU+qHWvXfRNf8 KMnDKRBYJWRdkp/qxFMyVDzdrsuGOdoP2MvDpX4oz0X72KrjFv80IEGfl/a5 Ha5Pvhhl/KW0Xxnhs7S+p7HTuJ+vV4OubLMz/l7yYHs6jHrwvJfJ/+e5qnbY N8H/mPlOtR7oxC4ND7w2/pYc8rurBrZNmeK0SXV/zndXSQwr3NecY8U+P5US 2DlqgcmnIr9ozsK02ZF9TF4udnKo2GPo2NWfnN22pxR5+n/Gcbj+Z4/OLi/v m/0ycaUxp495+d8w50PxRz2turdy1BwTh+L6TcLW+lWeZ/LeuY67Q8BHl0OB qvO7G0ZsvHfM6Yy+F/anrz9NTvvPfo3vl+tciP0hrtkhE2dhP+Kfc3K/nKfv qs59XnBxCMz7m2nPfS68NzSlUN9E7f8qcv1Z9w++zpLR7Luj5D7P5+z1ZMpq E+/jPuMbbV22If7iN3lf1vwurev3zrfK1xKGB8I+OkLy59G1Dp3U6aN/0P2b RTZO2mryKrXO3d2snbJkMv5z2pdx/lpveX7jLyUe18LJ7eeNr41dynVeO2We N/zHCO03rnN9aaZcr3OY8yzkKXm3ux3cJcnsQ8kLGjks4+WA/MZvzLp2q13W ueULGj8q69qTjD9FT3OI1ftnHst0K8PgXuUu6jjn/VZJ2jt4vo/h/JDXHd20 +PXstlF6Hc3rbt/0QFmPG8Yek/2CXZVIx5gGxk5jv/Z3uSBblzBzn1znSKGU TBPWGjsBez5xzh+fdnXy1utwbn3IsZ9eTRvhqu8LvlmpY9Vat1ll7Cjig6f9 /pqc59enei4JOz9+5/JKle77anv8rjGu3/fxOhOh8zBxw01ynpp+w07uUGrd 3KalTZ4tdvXanamBs6ub+YT9SLejIVM77DftidMlO6eG30w28xL5SF4lQ953 OWH8VLyfMmvznF77s+ln7M9PqW2LfuecYPzY0t4nrXzhw3+ZfZnGh+s6uVx+ flK/L/JV9jt5ZVnW0nBy8Mfmcz3bpOO6f7TfsJciT1bPPMPX+PcYh59+XRp+ roDJQ6B9C6mXRHvsn58HLw89VdDEzdFt5Xwcv8t6Gtw805AMmWP0e6F9snvd pNEexo+t9R7XFz77R0WTB67+STkvxvVZR4ptL7JgYT2zDrJOTbvdZnFk4cf6 u+zXnDZOynVj3ALtT+JrNfpmKNYln4nT8X35be+5433HB7oudJT7dZfxgz3N Pv1FzVrPHnyI0u+I8V/H1bGZxyGzT4Snt3vk2A713hq7kfsKlfeOzvgf9trf wTvN7B/HSJwiy4knO18MMucfyc8cuXR7rol1ovV74fvaKPVH0junwH3wXbyp 88ymd7DhZnA/5cO6TY2uuF3HFfvcg7FNluQoFafvV+Mv31XL+cNGw8fgPPuh /COyzttqzl1auVKaLypx6rXNPJ/7l7jxDS8rh4WXdU++u1aWvD6txyF1N3i/ /O7xqSEe3mWMP4H2X37oeMbB3+RzMn5eXGq7MnF0RLr8qPR0fvem7BO3rDn6 9tJ317Qf2GcFS30Kqx6Ujn7TorNPrGLZV9K+wmPHDc28TD+g779SpdnprlHf zA/Pdvw7P3Ad5u+RcQdtp5YweeDsR5KkvoNVTxWd62i9oLCYq0G/G/tK63lm fmGTej1Sr8N+4bjUWbDqJ0Tn/tGrST0Fvhf0U52Ozg7KYeKM6JWWFf/Q7MY5 7R/s5Ksza51u4mryP9H9nhzY9sM+469D/3vYssZXqt5NN9+e66CXOfZh69ei 6/R+0I/d6vad213jP2F9vxJRquRv241dx3e6ff3T4jOCTdyc/szh7mmf/ZiJ X2udiJwxkxY2Nesp9/+sxp6T2yMMrxg/xkmPam4FB5n3yDhfdS/58jAbw2XF Hj76/E23mrNNPAu7t+ek3yIOtb2oOs+7+q+Mw85OD0133ed3+X4LLEmwO7Tg gr6vobJuDml4acWbQXNV5z4zzTmycJDbP9+M8z6yDqKzbnYQ3jt+Z417CzeJ fkeHm429xXPAM1f/tejwz7GT0OF7cx2eG8658uRFh4tOe56D86S0R4eLjp8U nXOg+A3R4ahg36DDFcF/hE5+LP2Ljr2Bn0Lzg8QPgz2Bzrl45RGLzvlu9i2a jyNxQN4L75/zsDwvOtwbnkv3hcI/wd5Sf5vYXTwvOnwMngudc6w8Fzrn+nku dM6h81zonL/W+suyPrMua91z+P/CY+E+tV6BnM/VuiGiw6/Q+iCic66W+0Tn /DvjjfmMeBDjWc/TyDll7h8dO4f3gk7+HuMQHQ4Pz4tOnhvvCx3uCv2gdpb4 OekHzdOX/CXeo57PEO4E/YNOPg/9g05ckveIjh+AfTI6eS98p6xXxNF03pD1 l7gYuvpZJS5Gf2q8V7hM9INy7ITHwnOhw3mg/zX+LPFujfuKTvyX8cC6BK+M 8YBOvijjAZ31i/tHJ47D/ai9JnEN5e+Ljv+f8YAOJ4d+UH+zxOsZD+ovEf8z z4uOf5V+Q8evyHhAxw/GeEDH38J40PiG5DVVlX0F6wv8cOJw6PC9OY+EDq+b eBU6/G3iNOjwtIlnoMPHJj8AHa61nsMUHU41fmE9byo8avyYmvck3GnsA3T4 0vh3tN6CcKThmLNuwjMnvsX6CA+cuK/WDRCON3FZPR8mfHX2b8oFFy46583Q 4Z/TzxoPF54556P0PLdwyOln5XMLb5x+RocHTj/r/Qj3m35Gh+9NP6PD8aaf tU6I8LrJC0eHy82+kfkHrjt2JHqL5Ylfqn3w0f0h8xL8duxX3iO8bs4losPZ hgOu+zDhgcP1VjtR+N6sT+jkb2MvorPf1Hxi0dmvsY/S+ieyn8Lfio7/GS45 4w0+OftzrdMinHC41RpPEH4159bQ4UUrjxjOgXCJ4fmiw/UlX1btRuHiKo+J +hLCp+VcB3od4cHif0eHXwrfHLuLPP/4dHT44OhwwtnPqy77eqsOB5t9CDrc aasOd5p9Ozr521YdbjPxS3R4yFYdHjLxOeUOCi/LqsMZJq8XHQ6wVYcDTPwG HR6vVYfHS/xAuYnC+bHq8HLh4GNnwsOHg48ODx9OPTq8erjq6lcQvjq8cnS4 5corh9cu3HL44OhwwuGDo8MJh6+NfmCh3Zt/8l1Xvrbep3C24VarPS/8arjV 6PCr+Y60vXChibehwzcmzwwd/jD7YeUPCX+Y7wsdDjD5f+hwgPFPMc/BdR8l 8xv6z8JLh/vPPExdAPza6PDeyQ9Wvojw1TkvgQ6fXLne8BWE702/ocPHZv5B h2tNv6HDYaZ/0OEe81zYq9Q1gIeCTh0B1iN0uP08LzrceM7losONpx/03Ibw 2MmrUO6y8NjpH3Q455zbVA66cM7pH3T43sTvlR8mfG/GoZ6TE242/YkOv5px iA6/mn5GhyPNOESHI43/Dvsfrjj52XoeTTjt7AtY36kHh/8dHe40+wV06qDh R1aeyuYngy/97z6L9QJ97eHIO9N8DK8KHV4o87/moQsnk3keHf4k/iDWffiK 9IPGSyU+gp2v9ozURaK/ND9OzkcQp6Q93DP6R/MRhL8NNxkdfrLW+RUdfjL7 KbVnpP6acodFL7GlSqvap1N034euddOk/9Hh97L/QqfemfrrRYdPq/WFRad+ GefY1d4Qjiv7Na1fJPXIeF8a3xAuKOuv6sK9ZJ1Fh+vIeqr2pPAJeY/o1LHi +1IepPD32MfRnnx13i86/Dq4IVwHjjfjX3kaUteP/TI651N4v+jU0eP9osOd Hm2xx+BO895pT108rVcu7U8Kd9qqw53mu+M6xYLL1Z259dY3dho8Xt6v8n6k rhzfKXrZO8n3Jxc39Z3RqQdntdPgwbJ/1/wFqePGONH+FA6q1X6Dg8p+n/bU ZWNcocMFtdp1bS12He3hXlrtuhSLXUd7uI5Wuw6uI+NQz//JOQjGoXKRhZdo 1eElwvdHh/Nf1qLD+Yfvjw7n/7pFh/MPhx07Bx474wodvjfjBx1uM+NEOSXC N2Y8oMMBZp1VjrjwaVln0eHT8l70/LdwR+l/dPiZ9Cc6nMllsk9U/3COzc+2 Bd3RegbKzZW6Bszn2HXw7fl+0eG6M9+iw/em39DhVzPO0eH3khei/G+pC8Dv aj6p8OF5X+hw1Lkfracq/HDuR897CTeb94gOX5r3qDxg4TBz/1qvQLjBfHd6 Lkp4ubxH9QML35X3iA7XlPeo5ziF80n/4CehDgLvC506AszP6s+Reqb0Jzpc ffoTHc486yw6dULpT3S44syr6NTlpJ/R4XXTz3o+SfjVzJ96PlvqXdL/6HCY 6X90uMT4RbV+rNSR5L3oeT7h6PJe0OHKarxM/E7UsVU7R3Tqw7JeoFMPVO0H 0eFyq53A9YWfrPaA6NSjhDum50Glngj1P9CpJ8L9o5MfxfqOTh4Uz4XOOVPW a3Tq0jJO0MlHwu7SelNyrlPruZLPJXVa6Td08osYD8qlkzqnjAfNJxX+Nuum 8hElX4jxoNxKyfNh/ULnXB77Vs27l3oK+Hv1/LTUU2Afqvsd4asz3lQXPjPv EZ06L3BI0anzwvtVbpPUeSFPDj1c6rwwrtgHwNnGztc6MFL/hXkGnfopzA96 TkjqRDDfan601E1gflC+i9QRYB5QHpJw+Pku0OHMc//ocL/pTz3/J/xqvl/N jxDOM/MqOjxk4lno1MVmnmR/BMeY8YYOT5j7RIcbzH2iwwfmPrV+gvCB6Tfs drjHtNc8FLjB8l6wu6hjYrWTqWNCP9AezrDVHoMzTD9gJ1AXhufVeLRw5nmP rO/UO6AftB6IcNEZP8y31O9g/873SB4pz6XcYql7wnW0fo7U+2Beop+pl828 pNwLqXPNvIROfWrmJXTqRzMvoVPfmflH+RlSf5n5B536yLpeyPulDjXt9Vyy 1E1G1/wUqZvMeqGce6l3zPeu5zWFF42u9WSFF61+AFl34EUzP6DDeaa9+s2E I42uHDXhSKMzL8GR5vrKnxdeNHYOOrxodL5feNGMWz2XJrxo5lX6Hy40/jfl 0Ai/Fz8bOhxd/GnK/RWeLfY8OhxX/Gb63oW/qnEueb/kSVp1eM7kO2ren5wr TE/Hf4sO/yc9nfNm6PB20tPJo9JzEpJvlp5OHjw6fFerTv4/3E/GMzxtzmFq vqFwrTm3qXEx4VpzXhEdvjTnG9HhS3OOHR1OMjw7dHjF8O/Q4RUTP1WOtXCD 8XOiw60lHqrnooRby7lorVsu3HL6Qe1z4XXjf0aHj43dovaz8K4Z/+hwpxn/ WmdG+M+Mf7XPhcPM+Ne4sPCKGf/ocIbxDyuHWzjAfKfMJ/DYyUPQPD7houOH R4dPTn4COnxy+gEdvjf5CWpXC9+b/tFz9sLfJp6ODn+bfkOHj02/ocOpJv6O Dqea8aPnHYUXTT+jw38mLo8O/5n+V3tYeM7E69HhOTM+0eEkkxeBDieZc+/M b3CSsW/R4STDq+V7h1ubXjw9vTg452f4XuD9EhdAh6sJbwUd/iQcZK2rI9wD OMjqTxNucGWLDk8YuwIdrml6er908hiteYld0slLhH+Ynm7NV4SLCJ9a6yMJ pxq+MzqcZ/i86HB6+V7Q4fTCG9I6YMKzhYOj8Vnhl8ItRYdfyvtChwvKd6H5 jcIFhaOBDu+R/BONkwrvUfmGoh8U7iLjHB3uIjxu7Cg43vjV0eF4w31Ghy/N +S70r8KXJs9Hz/0LX5p5Hh2+NOeR0OE8k/+DDieZeU/tQOEkE5dUzq7whJnf 0OEJMx+iwxOGf6f9IJxe4pjocHr5TtHh0xLHVN628GmZJ9Hh0zKvosOnZfyg w4lln64cR+HEMn+iw31lvkWH+8r5YeXVCU+VcYXuKnxO4p7o8DlZ99HhczIP o8PnZBxqvQjhwzMO0eHDMw51HRcOOeMQ3U045JxPU3+gcLPxh+g5IeFm897R 4S3z3tHhLfNe0OHx8l7Q4fHSz+hwaMnjUp6H8Of5LtDhmfNc6PC9uX90+M+c q0eH68vvsq+Bbw+vDR1+O3YIOvx28vfQ4atzP+hwp7kfdHjCjFt0eML0m+YD CI+XdR8dHi/zp/IkhH/LeEaHB0u9AfZZ1B2A748O55/8NHQ4/9j5ev5VOP/w 5dHhzMNhR4fHTj6b+qOEx06cV/kuwi2Hx6F5ucIth9+BDrecc5LKixK+N/ly 6PC92Rcox0n42Owj0OFjw31Gh/8M9xkd/jPcZHT4yXCK0eEVwylGh1fMvIQO v5d5Sbkvwu9lXkKH38u4xd6Dg8o8gA4HlXxIPf8qHD/sBHR4pKwLWp9WeKTk T6LD91OeuOhwPpX3LTqcT74vzaMQDifxO+XWCIeT70vzQISTyXeEDseSOD46 HEtrngYcy/Ts4f/f/TvnmrB74SHHpZM/if+B9vCQ08tvJF9F6wsJ3xV/IDo8 WM6JaZxdeKrkzWrcX/jD+Pewx+AV87y0hwPMuNLzecIB5vwhOhxd/LpcH44r 54RpD2eVcUJ7+K6cZ6M9HFTeI+3hOfMe0eEqM57R4frid0OHl0u/aV0I4XPy XtDhRuJfZT0dMfC7zBM/pWm+h+HlN3qbFmnOxaAP/bvub6X3pOl+B71Cmm+H Po5pmi+hdkKWwYfKRqeqX1SvU7iRf43eqerHU66AcLk5J4wOT5t+Q4cjzThR /rRwpxkPem5FeM6MZ3Q4yeSZa76icFzxeyvnQDi6+BtZH+F7Y2/oei1cbn5X uQ7CYWa+QodXzO+qf1s4vfj90OHQkiemeXTCGWZ8osPjZf7Rc5/C40VnvoLb yT5C50PhevFe9HyncL34TtHhe/M9osPBZpzr9YUvjb8IHa4Lz6V1m4WfY9Xh 6ljPA8J3wk/CvARvB3tJ/YrC2+F+0OHAsN/U/CjhwBBn5HfhllSy+BPa/B/+ BOUoyTwAB8l6feqKwm2kPfxG4sJaZ8Np+PHQwWnKp0OHU8c8gE5de753dOpZ cz/qH5B6pqwvzEtw9Rkn6HDaGQ9af0N44PgB0OFl0f/o8HN4X+jwc/A/az6J 8GHwu6LDpcS/hw7fjO9R68IJn5/nQoczz3NpPoZwy/Gfo8OvZj/Odwr/jX5Q 3o9wvegHdPg/+DfQ4djgX9V6HcJdZHyipw0a/crn/GPNB0Cnfit+Ia0zL1w+ 4nFaP6f6i75PWqboONd5UurR852iU0cbfxc6dY3xd6FT/5dxiE6dXHh/uh8R 7h+8P3S4f7xHdPj/cMHQ4YPBBUOHDwbfSrmDwrmCb4UO5wq+EjqcJfhK6HCW GM/o8Mzxl6LDHcIPoPs14Q4RT9HzjMLDxB+FDg+TeAo63EjiL+hwI4lr6/kC 4RUTj2b8wytmnGgd1b1/dj2WN0r3ZehwbJi3+U7hmDHPq/9NOGbY7ehwfbHb 1c8jXF/2xVrfVTi97Kf0HJxwerF/+O79hseNrBr+QMet1qHa6rnvVMQmvb7m pQjXF7ta610LV5n8AdZtuM34zWgPbxm7V7npwlsm/oUOzxnOMjq8ZTjLmocv vGU4y+jwlplPlPdTqGdIxMok3aegw2HAn8y631q4wfgttQ6zcOyxh9Hh2NOf 6PDfeF8axxf+G/tcdDjh6cVtr1niGnBo04vPWs8JwjtN7/yg9ZwgPE+rDo/F eo4Anvz/a3yWOCw8X74vuL7UM0CnrgH2vNo/wgeGw6t1k4XHS7+hwwXiO9H8 fOHAsP9Ch8OJ3YsO7wX/rcZzhUuJHYUOl5J9vXIWhXvPfhAdLiXzBjoce/oT HX4deQ7K5xYuN7ru74TnDDdZ+RLCT+a9Y+/Ba2V/rfEs4ZFa7d6/0uFgwM9k H4QO30brdogOZ5LnRYe/x/jn/uEbM861HpHwkeDMovcW3iz7BXQ4QoxzdDix 3D86/E/eLzr8T9YLdDiZ7COUty18HvoBHX4m8Uq1t4XryLlvtWOFy40fGB3O M3F8zYsWzjPvXeMLUreC8an2s9Rl4D6VByYcM+5T64BJnQLy4tAfOBwrc+zI seZ8d8rZEN4s/jGNUwhvFg476yA8djjseu5beOz47dHhV2sdEepdSD0Rxg86 9USIK6FTvwP/oeb3Sv0O+hOd+h08Lzr1NXhedOprMP9o3Typr8H8gE49C+wK dOpZYA+gu08cYjPwiHmP6NS5YJ3Sc/1SxwFOveYzCK+eOAU69WXwY6DDRaef 0eFvYw+jw6nGDkGHa41/Q+Mp1D2ReR4dbjPftfpbhNuMfxiduirYRehwofne 0alvwveCDieT94VOXQbmAXR4trwXdHi25D2iw8VlntS6PcIXxe5Fh0fKeqpc c+He871oPrDw28mT1P2RcPB4L+hwwrHD0eHBcj/ocE2ZH7QOVOjlXxs3CmiO /0frSAp3nfGDDned944O15T3jg7XlHUNHR419ozuc4Vby/yGDreW/keHy8pz 8T5/7tg/y7EjF5pTjwE7lroM1GPQPGepy0BdB41nSX0H6iugU2eB+gro1Flg X6R1GITnSX9qnrbURcLPqXErqX/EvIQOJ5Pxj069Hp4fnbo59KfuN6VODfsI rdsg/HD8A9jPDm4xMw79GK/no9HhOmInKO9FuI7YLdilo/wuze3z5o7aOVqP Trhzus/CTt7W4vOz1tF+2AO0h0fHd631+oRHx7hCh5eLHwP7bUmBhEZN32zS ++F34RNadfiEyjMRHd6gVYc3SFyS36W+AHFMdOoLWHlo8BUdLPlO1HnpnE4e FBxJ7Bl4ku2lX9BXCL+U+ILyEGxznmviE6/fr9Z1Ee4i/Y8O55D+R4dbyHyI Xs/2Y47THbyVn6P5KsJBpT9ZH+Ex6nlkmYfgA2OHMw/DPUZnnMMxhjOjfH3h JdIP6ClLa/eOyhFvD79Vz+MLx5X+V57Agj135x0y8RT0ZKeXtv3cTRxQ/VHC EcVOVr+N1FOgH5TjKPxJ+h8dniT9r/4r4UPiT6M/k2x3b3jhc0XnVfRXnk3W DzgYqOeF+Y6CJoyd+R/eIOsXOlxl5SaLDj+ZeAo6/GTyUpRDKfxk5k+tgyf8 ZO4fveruMQ4r/KLT5fOkp9PP6PBUrXpQOjo8Veu5frjHzM/o8IrTy4fk+nru WPir2Lfo1PtgPGh9Tqm/kBNeroXry3encVip10PcjevA0b1n4TfCy2XcosPL pR+UqyN1MegHfpe6DIxP5acKV596VMwD1KVi34FOXSq+O8O58r2+ffF2PzjI 6PCQyWNBh4fMd828AZ+c/Fj1S0t9KOwc9TsJN5t+QIePTT+gw7Vm/tG8JuGx 53mXt3iY2119X6tLhMfs8YxR/5Xa564fY75fm6jxNXR4qsQR1I4Vnip2o+YV BwcN3BVi4puMz9Xv/XoMXf3Ifq2FFzpHeKFXLee1qUdG/+u+tbxTvYDnj5Rz hV406u68dhWufcMRHSUcUSvfKafwnbD36J9aaXd816z2bj5P3he61+nx1brW PK3nVtArrTi4IHenB2o3Mt8sHur+9eyZw82rCk+M9otfF3de9u6a1tHhPV4V LlxOeV/02+fyHT4NGnBL1yf0HTVfNvl80dP+stiZWu86Z6s9o3LdtYcbrvUV X2QY/DI1zv56Ov5J/P+0f7i28ZYTHdPsXfCLwUcSbtgCed/qp5p80GPJ6QT7 GeSHwRfK5jvM7mSU+g/pn0w7zpWt+CJI/b3oV5oPvJ7V85bmH2q+6NSZm9/0 WGsfKvep50DfFT5umytYda0r+OHKasctKbrPpZ/bbuj16NKIqG/8zJvFz2yd b/1lvr0n11c/0oX8T9u0PG9PvUD1c078lOrQw9SVYH4oE97P6fP0B/ahlvmw ncyHfSx54HclD5y6AvRDA8mjhp+muvuueqXd0vT5lSvYvcnyrUOf+MXKeGAd /6lWVZeArkl+g+T66Jsl/5nro/eVfD+el9+tJnWI4BzquXvxz9Oe67hJXUXG J+0nSh06npf7/0X8foM5vyfXOS1+e2t++1XJb+c6mpcldim/q/aJcPU5P8t7 8z/6b70JxoHylg8cnrv60G39TtDzXXS5sWCSmdfQ98u5UeWeWLg3Wv+aOu1H azp9XmbeI3qWSQ3f9esZq7xxXd+Fr4LOc22Wc/1OFvu20q5/7Vv9e/nuDpz6 uqRN7D1T90T0AmW8tmbc80Tbsy8cuWJm7kJul0wdcOwT6R/rfLVK5iva6z5F +o3f434HCV+C8aHrhfAftJ6L/N1fWV5Urbjc7MP1nJ2ME+XJy/2E+o4Ot21g 6m2hZ3cvXezr+wS9jsZfJjreb+KRrONB6ynIdbgPdPpT+f9y/zZd/j0/y/XR z8v5xG6W/dQaGbda10Z+Z4D0T36Ln3yAfC/9LPNGE5k3+HvNe5d+0/wt+fdd DT/2W1E9Scch7evIPKNxL/yolxLGPMtjxo/aSzLvaX/KuHAa4HOhrn+C9id/ d6jHzQ8TOwXpfSonrUZk/E+THilfnevtlPnKxTJf/Szzldazlv6zfo+67st7 KW2JM1rrZfNcl2W9zm9Zx9H1XC7vTb5Tnpff5XvndzVeIO+L50HfLc+Lzt9N l/MF9JvWr7a8R/Rzsi7Qnv7ne+e++bsfJZ+N++f3G/BdyHvVcS3vN7281vmW dXO0rJtaHxwOksxj8y32RqDYG5qvJu25T627JM/H+KEd/TZb5hPNOyT+JX7v bpZ1rYWMB56T32G88fe6Tsl3zf/zO+Uljj/fsj4+kPVROUGcAxW7S+ubUNdU uKlan4Y4qczPLhZ77KrYY7wPrfMm814/y/pL3I37s+Y58Lw8R1dLv/F312Qe 1vxL+f3D8r3rvCDXKy/rVA7LPnSD7EPnW+yQCmKH0F7zkWTd7GexB9ZY6uwY e/jfeWyaxe6l//8HiWeYbQ== "], {{ {EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxMnXW8FdX3/ufec86cOTVzDGwRFbs7PwYWdheiAipiYouBitjdHQhid7eI ioIBFiKomNjdWL/nfZ/l6/f94969zp49e/bUnrWf9ay1FhwweLuDO5Mk2XjW JCmpfLueJEd2JMnEWpLskSXJZ1X9bibJM0WSPJ4myRiVT+nv1EqSbKKyqvZ1 tT9F7efT72fVyeg8SY4tJ8kP6niYtp2q/b9T2VDb7dpJMl5tblWbm1pJ8rmO 2Vfy0o0kOUrtN1ebFbTvYMm9tc+X6nNdjeELld/or5fkr1TOq+OvonZHqN1t 6r9Q2zM0hrfUz/oa5ySVUzT+z7WdE9xC+22uv4Mkb6JjbKr2D6h9b8l9VbeO yqb+ctWfrvqa+vxQcqq6eXS8pzXmkRrn5ypnVfv5tW2UjjG75O5q84bG8rW2 zaHfL+j4V2l8v6vNZ5KvlzyX6leXvJr+FlL9ZLX/Tu3nUf0PqvtJ8gKMVX0u pHIh9bmTxruj/obo91G6VtvpWv2mcT2v9pepzx/VzyMa20mSN1T5kP5GatuD KufS38Pq8xqN+TWVP6vtLPo7Wfu/pfJvneOjanO29t1c5T7q/yTVPaf786/K stoMU/mm6tfXcb/lHqrvEWo/v8ZzqMZ1rspdNM6PuCeSz9DfNzqvTH8rc821 z/kq+3Au+ttRfT6pPhfWOW6j+lVV11P7Lqy/rfR7B431KLW5RMdcU9vWkXyX 2r+q9mtKvk3yJLV9VX8vq/02GsuROtarkrdWm0kqD9d+h6jueckHaZ9zdO5H qPxI57CF6i9U/c76vajOuad+v6FjbqZ9n+WctO/2OscV9Hew2myq/g9Qm2e0 7SUdc7z+Jkgep/J5/b0o+V9tn1d/m0teQHWbcp+171+qm0t/m+j32iqPV7mV 6vdQm931N1S/e6r/9bTtRMkzNJ41VP+JyvVVN4xz0ngOUN3++jtdv3vpeg5X ua3qN1SbMyVvrz531O8dVD6u69NHbXfR37HatoT6WlLt3tI5zqa69VW3rNq+ ovNdne2SZ1F9W39r6XdTbddWuYL6WkHH2l3yumozq7b/T/KKql9Gv1dWebOO tbTklSSPlryg+txAbZZX3dxqvxH3V9teUZ8zdA/a+n2/xnOsznldleN0jQvV zas21+o9XVB/i+v3Kdr/BpX9VF6oPr+RPFzyv9rnR+27p8q/9fe95D1U7qr9 uuuvp9ptpj6X098e6nOA9hmluv4qP1U/30s+XfI52n62/u5Rm+s0rttV/qBn 4yTVHaQ+b+AdkXyE5FGSb9B1uEvldzrHiupvUj+7My/p92iVX6g8T+d4NXOa fg9Xm6O0782Sf9Z1+El/P6r/lVR/Nc+d5GtUt6V+36a+dtO+t6jcU9tW1vls p9/Tdb8mqk0r9XP+huQi9XM+WfIsqZ/1XlwPtb9H8k6Sj5b8OnOZ3p9ZdJyL VZ6ncR0dz/8JerdnU/muzulK/R3HPKTxX6L9Rqrdffr9jq7VAJXPqf4JyXeo v3113ebXmLZT+bn62KHu5+5RtfmLeVnH3l3laI3tD8l3aZ9zGp4TTlbb37Xt V9XvpXJF/fXW8aaqv9XU5iK16as2M1W/qc7rTJWH6n6O1nge0DG21zmsqDF/ ovE+IXklyZ9Knq6/BSVvqjG8Tz9q+6HkWbX/3dr3CvV/j9osovorVX8E77TG cL5+n8Y8QBvJR6n+SP1dIvldjeMalTPU/hjV7aP2l/FdUftL1P4qyS9K/lhy S+O+XsetqZxD+01Q+wvU/i+1Gas2U9TmH8nv61zm1F9T7aarLlU5l+r/5ZxV zqpyova9SPt2ats0PsL0qW3H8S6pvEDjmaw2q+qv3Olz5twbKgdzXvo7R+0G qfyF51zy4epvpuSRki/lHPX7EckH8F1S/VmSv9X9+kZ/Z/A+67h/qP439bu5 7nFZY15A5Wu65j/oOE9J3lp/R6l+K5Xbqf5Y1T8r+QD1/6v2PZPrqWt+msqp 2vaFrs+PfBd0HpP0+2P1vX/Nzx/P4YLqYzf1d4zaa1jJFRrDb2p/bt16B8+n uu7SI06UrKZd7/FQydqcDOC7yXHV/iz9ncrzq/7XVb9SZ5JLVfbW7x6S6yov 07Nxgdpcr/ptNLa3te+R2q8fz6COfZ3aHZL7Or2iNpeo/4v197B+58yDKs9l jtU5n6B7/K/a3q5zaav+LNU/wvtX8nf5aL6z6neIyt3U/kRt6yj8rL2p+tl1 rO+qvgeT9fv7qu8NY9pb7d9T+RHzvU76+w7rNztq+9klv+PPoy+pzy1Vbh/f wdc6/Y6/rrFcoXJn1Q/hG6f6vzX+X9VHW+V4jeHF1M/fE9r+dsm6ymza9qXK mspHtP1Tya+iB2gML6jNZ3y/Vb+K/r6QfLbq3yvFc6u6TOX+Oq85mn5Ou3HM kvUZ3sOr1f48/S0qeVVdi2E6dlnlg9r3Af19rPqh2p7qL+PYJeuN6GRnqe6d kt+vZ7Xfu/F+3SX5uZJ1tb/U5k/9/aq/qsbwvurK6HWSv5Jcl9yhvwrztK7R rdp3jPZ9V79/0vF/1N+CGutb2v9W6iX/oes7TeXR2u8Y/a2n8zte+76iNqeX rA+8ULXeMJ7vsep3SK0bvCz5tJLlp9Tmcf09JflV1Z9R8ty+g+TDyu5nI8md 2vdb9AG1Hc75oweofq7U8lo69pMaw+Ma1zp6/uaQ3FPP6rqS55S8iOSXQz95 Se0HVKz3fC35CF2HcxirymXanp+XVTlN/Q8p+bgdOs7aFX93Xwud5xXun+oP L3vMW1asY72ALiL5rJK/Rweq34kqD9N1Woxv6H+6mdqcWbLMN/CdTn8Hf6j6 mzsF/Vb7LKK6n3ReM6uev6aq/k2NbXjZcimzrst9eVbtDlR9b/Tl1PreVO3f W9tPLVlnm0vX4iXVfa1rs4XqD1b7carfPPS65/i2acxjVA7W8burn/1D35tX 8iDJT0seq/EsmFpH3FjHG6vyELWfru1/lKx7LKzfi6NT6P58pPq/StZnPqt7 Hr5A5R2qe0Jt/uAZKntuHK7fneq/Q38r6nemsqq/VSV/rLEtq7aT0MH5xpb9 Pb5J22+s+jt7B3Oaxna7ylv0d67km1W29DdKx7tE5/6LxnQH873KkerjEdW/ gt6mtjfqbyI6mPq7umqd5LbUa4SS/i5PPRc9jj6j/WfG839d07rNsSo31TM0 Qn1erGP1bVqfGajz3Vb7bqW/vbTvnWp7h/7uY35Xebb+RnBdqn7W0Pk+rfoZ RG/bVv1cg16kfp5Q/SOSB/Ht1u8nJR9U9/v0uOT9VH+ojnOeyk81voO1bX/J EzTODvXzp9pciK6qa7ijzv8qnuGydY9d1G4vtXmAftSmm/p5jOdC9beo/5ur 1q9217Y+qntafW4eeuaLehb2qlsffEb1e9etez4r+QTtd7z+LkEn1nG30fEu 43ugZ/hBXauX1O4Yyf+qzb8a83Xq71r6VP1ravtNyWvLGczDqdeVtYb16Pl0 nPf/059Zf6Vek3ZHH2VO1d/y+v216r9KvcacqWP9ob+f9Pek+p7c4TXetXpO jleba1TOXbc+fgnPsPap805rbAvr+izJO6vtM9R3or+l9fsf7besyqXRvUrW hdBX8obXiD3Ufs1Y877U4COs66Ttv6n/uVhXS74I/ZNvXMlrZNZ/M9RUj1Sy vv7tpW3rqXy/bt38c9bmGus1an+Rnrf1W/6+v6cx3tCyXoRuOF3HO1bt30RP V/vTedZVXqux3699x2nbZmp/lLbfqf6v0vaxqvtdv7/RsZ6TPBM9sGld6X3J 66n9Aur//aa/Xeg856jtzw3rkp+ozSYtv7Mf8kxJXk7yB6ydG9bRpqtNqnFc pDFcoPGfXbfe9C7fbNWfr/rzc+sX6DboNOgOP4deNwFMIPX3YqDkj5nvJG+l 8tCyvzW36Lhf6Lh7qJ/+arOf+jxJ9VdoDIP4HumYe6r9Mnw3Vb+jjr2T2s+r coq2Xa7jfIyepn6akg9TeQNrar5Z+v2B+rmUNQX6Z8VrH37vnltfHt3yGuta ngW12TP39blZ9U+2/A2YDx1HckvyESoPqXg9xrGvVP8Xq2xq3wtK7rObxrdL 6OnoTrvllkdp36dUv0zqsd7MN0r7vC15WZXfdPgYD6r+/fi9M9iW+uiucqLq 3uGc1M8eOu5yrON0DVZTWdG1mVPbRmps1dDbJ8WxjtW9Gqj2a6jd3Wp/p8bz A/OP+rm85HXEXDrGZP2uSt5f5dst6zUHqjxRz/WSaveRfk/R75rKg1XurmMt pfoPdLwPOrzv9urn5JpxmD9U3q3jL64273Ht1M8Tkp+WvITK6ejM+rtK5/uU fj+PjqTn71POR+P9tObvLN/b/rnXNLfquFfWvc59WvKZqeXF1O6g3GvlZ1R/ jMZ2H+eLPqY2K6eW/6l6zXUn11btT+H4an9R2d+Fe/X7m5rXcehRz3b4e9SL /jX+AzPv+6fG95DK79X2+IrxK37zTXtQ5epqf6LkE/R3XUdgXSrXUP1HddcN 1bkenHst+yzPbcnjX1xtOlhAZB7P8fF8co7Xqt38KpdUuXZhfWQ59bFLbt18 GZWTMsusle5quZxHz/C+6mdg6nfzg5r7+bbh9Qbz0iE1YwmsO7rr9+llv/tX 6vcvVWMEyJfG+hId7u2q1w6so/bm+5l6HlhB4zhX5QCVd7c8L/1P4z1I2w8E 1+A5q3gdxT04uexzYZ/DYv3LN7K/zuXw1Gvhy+o+1tLqc9fc649lVU7Qvmuq n1y/79bvks7pTZ1vR6fXpgOZn8GF1G6Q6h5Umz/4/jDnqb6P9u2DTsbch+7O nKk+dkU30zGfUru/1MdOKhfVtoXVzyLa/pPKHvpbV/s+2rK+cRxr/E7LvAM/ qr8f9Hek/q7ReXSP5/x67beA5Bck91T5GroV76HGM6f+NmRuVP2NzPPqZ+Xc 5WCV41te+66n67kj3y+1u17jPFd93ib5Fu2zttqtyzVX23nU32LatrH6bOi6 7qY2e0huo6dJHsCaS9sXR0eVvErVa0zWmrfqfE7RsRZX/0tp+2aq24Brp3Iz 3g1tWw0dsOr2C6jPgdr3GMlNySuVfawLVN4b7+N0vguSP1V9ReNcg/FybVW/ k+q3Vf3tOu5p6vsFnV9J/eys+u1V/536mV9/a/D9VrlSpzHMLyXPob8VWNeU PM6y+k7V5zyqX0W/F9e920HbntK57KY+F2IOUv0EHbtDffRTuTDrgw7/vgKM R+2elNwjs74xWGPaW2NaRe3u4NlQ3yuW/Dy93PI9HAAOlBur20/l9fEOga1t 2Xa5jNo8or/vJe+rNmMk/yT5AN4XcNCYb8+rGUuv6FgvaTwz+Har7X2sM9Tm c/0u6bwW5VlBb1T5J98d/T3G9dDvXySfofEvL/knybuBP0ueqfa/dRgr6K9j vBFz8kfq/6bAtJYEu8g8NtZBZ8Zc9DP3Ru1+VXmrnsMbeQY7/Ps51f/Cd6Dt OY25jt/b6Vw2Zs3NfKP68ar/W7/Hqv0/KvuofLHF5KdnRuXzLeubfVVerHOZ O+bn+/X7G+6DrtWWNesthcrPNc59Mo+Xb/J3iXWs33W+3cDQwGlV/21i3Yh5 7GT9/irxd5B56GvJy6vfL1X2Uzks9XzI8baoeW5GT7it8PUZ1/K5M4cvkXgd c7/k1SSvqWdvGliinrFeqW09G2vbCap7rGSsBp3hhA7rQBej+3T42L3AzSXf q2P1b3o9u7nO462q16esXWdFL1L9vpKX1Lb+KtcH82Y9Dd6q35tIfpM1pOR1 A6vfRv2e1rC96SS1f73qNT5r5w0kv6H2+0meruu4jP52lfwC80an55Sa5EXK xtzX0P7/Yx7QOH/Q9boX3Vvlz/p7kHeONZ3+Hpa8hMpv9Hen5J4qn2MdmXpt vkhuO8ZFup7PVr1OZv17ceDDG6r/vzPLBwY+h+2vk/enYoyU69hH++2aGoO7 v2HbwhYa4xfgX6x9VfZper28kbbvEjgVuNOrNfc3GRtFYAXgVKynWX8foD4P aBpLeUttXqwaMwFLOVfPwzZqd1bhNT3rbtZ1n+t4t0peSOWaYVvZUvsuqP7X Ktu2Mr/kVcu2nc1Wtj1iFe27p/qfXrHNZS/Jm6S2qfyu/hdVuZjadMO2U7E9 4zlsNJ22c/ysftpl21G6q83Eiu0+dzRs51lRY5izbBvQSpLfbdiWNJ7vSWpc gfHfp33/qXjNuZHKvbXPQ6xpw251ILpFauyBte4GatO/7LXzAXWvg1/Qdd2x 6XXx/qqrBj7B9Ty17jXxi2qzTtt23P+xoFI/85Vta/tRZUt/6zDXY5tTuZrK kzTWGZJPAM/QONdTv9txvmXb7Nbie6p+VtTvwxh/3fbVDVVuXLfN9j4dd+Wy 7bl8zz6t2E7bZWdVf/9L/X36Vm2qZWMdhY5VR+eQPHvD68rF1N9RDdukluRb WbdtaqT6r6v9/RXbsf4Ao614Tfo3umvF698/S163LsF8rvb3VmyX/ErHKZWN t+yRGl9GNdwx91xxhd6PQRVj/vw+Bhus/i5QuyvBPEp+/k7km65+LpV8PXh1 ye/DFuqzt/7O0HN7qeqXB5NR/Slgdmq/rMrhqt9D8uWq7637uDO2N9Ufoz6q JWMKm6l+V+6R6jt1/0aiC2iMj2nf2dXno/q9JnOh2lwvub/q+qXGlB5Rm2El zxH7qJ+Tee/AuHLjMRfqHIeiO7Cffr+pNjN0Ed5Q+XdufOovlQNz27Ieannu v6nD8/9LLdsWemE7zm0ru091e+Vep98j+bCK7Qoj9HtK1Rge++yf2+72mNp8 oDHdxvdC9/Tqhuf5E5v+vtOmp471oPY9qeS5b5DGuG/m7+I1Tff9Gd+punW0 q9TH0TruVSWPeyttWx48QeUfVduV2PdUXadTUu8zKLft7mGN59qS5YW1z1m6 BleGvvhX1TYU5NMlD9C2azWe2ySfUPIcfb6O3U/166m8sWX8oY/6fqtm+0ZJ ZaH7eDx6t7a/UbMd5Ajm0qrtTWz7BB1LfW6ncj9sUPFNPb0wXnWG9q2onxt1 zB7cT9b+JWO8S+W2pyzEeq1s+zf2P57z3VPzMXbK3d+V6NfB1fgDnkCtC9pJ OlWuVnjuv1xtptRshymrHNg0Lv1G3fYV7Cw9VH6ickiHOSQXa9/dsGmp7KGx baZOj2NdIfmwkt+X03WNNuIdVLkk2Kzqz1H91roOG6j+UO615ANVfxrPsOQd VH+K5P3QacuuX137HlXyvbhb9SeiK0g+S/LRJb8XffS8HFv1O7mZyl7a90DV P6LzGaXxvobuiQ1F7a/muyl5q7IxkyPQM1XuynPLfYhv/dy58cCn1Mfj6n+w tp2nbTvDAShbV18MHaHkMa+n67a9tq2rcnWVq5e9RthA/czLWkDXcEPJ80le QvIK6vd6yfdpbEXFdnzav8s8V7b+8z/1s7b+9pb8XsXfQuRTc29vq9xIY9xH 8kWJ+QUDJY9AV25YXpG1lfbtqFjnWVHnskLmOf3DivWb/SWv3HS5ge77cpm/ oaz7Tsvd/ywqz8mtE3VTuXxmbIrrfI/kjpK5N7OpbtlYM/aGJ5C6zRm5jz+b yoPUtlQy54FvQg+VQzTmX9TPz/qr6+84/RX6e1Pnt5jaTlG5tdp807SNZpje jzN0rJd4VrVt08KY9sKqv7np/W9S+UfdWNFcug43la3zg42elVtfmz03XgpG tJX6PbdiPg3YC5yY9QOb6az7+GCbl4FnpubzlJtuWwrsc6r+tknM35kW8jFt c5euV3lL2dgONqkbcpdbFMbkGeeW4Inad7myxze2bh21UNuvK16Po/98iL6n 319K3gpdF+wOW2fV/BOe7W8r/h6hC32SWY+6O/Fzjk57H9hvxfghbeCvHB/P z8OZsUSO9Z3abB3vy+IVv7Ngkmtk5mnw/C9aMa8FeUuNdQeVx6ncKvd9nof7 z7xa9Xu9Zma+B/J9YDaZOWHLNeId1LnspeN0xnN1Um7duQVPgblU9Ufq90I6 5i58txPjEDtLPhsbRm65rnKptvWfS1UumxmLQD9fuul9lwfPz13XyK1Xsi7H XryexnEt65um1/LciwvAKtXXTpJr9N80FrKW2r5TsW7E+v3ehjGExRvGJ1gL nAv+UzEGwv51yYtG+5Nzrz9ylVMrxhb4jS5G/1dr36a2XZMYoxiR+1nerDA2 iD2Ude8dZds9WZdeJ/mewEyuzI2Lb6z2VweWwu8Me2rmNlfltlF81jTXb0KH 157d9LcR8Brf7rBlsO2BwraOL+AFVMz9A5c5NrP9Azx5tdx25ndY49Zdd03D WAJ2qt6JMXvWthtKXjrW6OwDJxFsYdPEOMPEkK/NLX+l4/5Qd5u/4E2UPJ5N WMeq/miVLR3rGfTt1PjwjoX5eON4TnUf/9K13VTy6qr7u9N27vfU9t3UvI59 Gt52p/rbV+3n0HktpnK0zveDku0i2EcaKg/Q8e5tWl4QnSf3OX6purm030el 4IqktvHMwhzSMA43j/q/ueK1Cr/BTrABgZ9clBmvg5dyU8V4L/IN2vczdErs L7q+/cDTNLZbK9aP6f9l3eu1SrYtnVwx1xE87erUdhHkU9q2icxoGjfhOUqb 5jmCU4NR920Y075Z218BH+Z6aduNue3zP6j9eWo/OXCYEzLb+5Fvym3/31LX /t6y8e/V0ccz4+Fsm7MwJ+HHpvkC4DY76rhJwzL2C54NeAo7q/rpwvJPan8r ul7qb8GjqfkNPEOPpbaDwGe4sGL+DfW35K77Wfu+oTar8k3qND/r5Jgbd8xs e4BbcFPYUnm2R2mf+dBJ4FOozRf6u0zbFolv0aMd5tU81mHb7mVlt8c2jL0V bGwdcM665dmwDZWNc3IPLs3dtgfPWNn9vs63pOb9ZlV5udo8pbqNCn9nnolv zT8N2wpmD1vumA5/w8A7ac+3c1DbtjB4VvBDwet7Jcbsx/4nl9zPuoltEvSB fRleLLbIQ/X7kcz6D+vrr1grhx4I/wb859LCay3WWOiK6JronKxVr8UOp/2n cP1btj/v07YNDvvgiJZ5otgLzwP/qHl+B28Guwf3hluyTGD4cG/Qd9F70XWf rnudu5bk97Tv69r3Je3bV8c4qWx+EGvxwWXzSPdQfUNtFoJfE2sl1kxjmv42 PdO0zQO8i3UTeDq4OhwhngmeDXDM3+i7ZGyhZ2YMqJfkX1JzLI8DqtM+Z6nc Q+PaUm3/Vf3mqju64d+Pauwj4WGVvH6Hnwlezj49G5aXYr2jY80eGPWzOk4e 633spPDlRqocq/pG2Wvs5yUXZeMdt6mfWfkGqByn+k8C95i/4fEupzF0ovPp mGu1jF2Br5+n3xPUvltgLrMF7r6C2t+oMW9dcj+jJW9bcptFMmNrjBN8GZwZ 7iznzLnDUb2tZTsRvINN2l6XXZibmw4fDIzjAclXqHxI5SVqs7D2/UH7bSD5 atV9qXL7mnU/dMAH4ZyozY88g9q2n+o3Vtlsm1u1RcO2TOyP2Gpvb9muh60c O1dDY1ir8HqqLnlNOJBN2yWwT9zR9vrz8LZtbNh3sGU/2PI6emTh9fJsrFMK 2zKxaWL/3VbtHtYzMaRt/RDd8le+oW1jz5+1zI3kHcZOsqb2+YS5XOW1atPW 2CfktkHDU727MH+Sd3gl1f/VMs4/Kbe9YMtO85i3yJOuRRxc4D+w5aj+VdUd p/2XBVtQuZl+/6P6iZIXb5vfeKbGNlh/7+heHaJyzrb5IdyvrXSdT0A3U90T 8EPgIMCLA5eW/Knqz9PvpcNOdHbTtoG3Va6s67dWvF/L1bw2Yd+hOr/tmDP5 1lRspwCD21jH7F/yWuVzbC8lY0GPqU1nOXAhHXe4Dr0q80rFmB02jrcKcxre VLmYjjVMbW7XcW7O/Byis16eWQeAJ/Z7y236wjMpG7M6TL+fUJ+VwJdugSMK zq7yKb4vgXf9o31PVdvVVb5V8TVHB61p/FuUjGt9jW2oZMwK3G61Tu9zV8P3 bnEdd0zF2By2m/8xR6icIzfuBv6GLQm+Lbrw7ZI3lnw47zc6lc5l75JxvIca XnOvUrP/BfIt6JFNt98Uu63kfdGLJH+i42YV77tb1X4KzO1fqm6NsjHiJyWn ZY9/FWwlZevwy/OMqLwKbCezbQuc9rOK18XIR9OmZMxty2h/K/dM7T+veH29 dtPntRm4lupWi3X3PBXr/2COM8JehjylMM/qbZULZ8YisWE9WjFGvEyn7V/g tyfrWPNVzWXHfveq2ixRtowtjDal3PPUZqHz96jaB2CLTtsoqF9G1/Ofsm1k YMWTKradbR7vG+8da/O7G97vHDCtzO8XnHxsd+CuqY71esV2OvDbw5pes5/Q sL2Cfi5WP4tU7U+Bva8zbHzgt0swtrLtfTdlthXSz+KZ7Si0v6hpbGQF9LjM Ng7av1uYkzZV5fva3qtkzlv3pufYRXSOh8acwNwwGB8ccBg4Pg3PsYuqzad8 i0rGaRdQ/79FP6+r35noTiof0TH/iTbXs17TX65jP6j6X0rmkqIXgNUfnBif X0zyUMkf8g0qmXe3kNrMDPmnlrevoPKhijH8JXhPqv4W8336FU6G2qzU8txJ nz01/veq/vYxt3Zq2wD0Gp3j/Np2CNNXw9jzbKHz4Af0P/W5QIft+PCZ505s o4cvxJR3neovrxor7q1xLl0x7+6V0MPn074rto3pH6Br8lxmbJk26O204dgf avvaJfO+WBeg/3NNDtP4Nij5fO/VOHto+zzozHVzb6+QfGBhe8NXajt35jEf ztxSN4cL7nmfmuezhWvmvdM/nK1da17H9ACHT42Bw0u8WNfieNZg2EzhiMNJ wA8J7L1qLPrwwn4Kv+XmM4I/v4wKnxoPh9M4K3ZK8Eb1sSQ2LXQiyY9Wzc8D 954D3kXZ/L8JmTmCT3T6m87zuTx9ZMa46XPdhjH4fbT9sqYx+inwtqrm84Hn 3xAcSGxpaWrsHX+PZzNj/vAaL9H2i8GRO81dBINlrOtUjN3Tvpwaz6fN+MzY O+OcHy5byWvOu8FemKMS22V4H/FxWjTzXMGcwLvJ+3+p5B10rXdQOU/N/jJd zznYV7zLl2jbNRXbzXlGeT94BrBnPVm3PX+xpueuCxPPS8irddhWtUvhPlds +d1n3rhM7RYrzG04MbdfG/3P1mHbEG3WlrxnzfPf0jXPVYwZO9EioeOdr23z Vv29xicI/QUbOmvRXbTPXioX4LwqXjPundgngjUXfPRLKuZy9VH9LXXzwfHV +7rD9fC7Zsvcfl+16ZaZvzUosd8EMjwufO7Wlbwg70Nm+cjEfm3cl4VVn2de D+7CcjnWnqwxb4cbqu17oRdn5irsk9jvgzF/om1PxFqy0WF/O84Rnzv89eAJ 4CdwRcXyntr3odTr1Vdj7YnMunXDim032AThg1ckbwvu1Lbvz2G6J8/oep5S Mnd5k4pl7IVLZdYnWNu8An5V8lqH5wQbNPyQNRrGufdgPgAfkHyi5IkNbx9a N18V3PvpxD5GyGOYQwMnh0M7LDiu2LA+yF23r8b2V9grOcarTeN0z2MPzc2B Hag2Uxve71L0uorxSba9rzZXqCxaxt6viONiQ2ScYFv4fcKVGcY8kxmzxu4+ sWnseLzqH2wY+7xQdf0q9sHjN35IX4RetH7uuXnRlnlW8C21a5cdDW62Hsku fhfcS+CTXmo/D+9Eyxxm7HHMTXAA4cvClZ1aNef1Y/3uW7Fvwgfx7mOvpB7b Mt8Tvjd/a3y7qxyoe1vL7FcLf4ZnD38i9u1TMWeYep5PfIXgbf5ad3ksnJnM dhA4009nxs+31njHZOb8M1Z8zdCnHgcDqtomgj/ki03z/1+Fy4F/l35/3LaP J+13U/203G33YT5v2MaxisqRVc/5zJm5rstdie1TH1f9XcMm9UDV3G/sd6u0 7ct2iPpppraXwa++tWq+OHa0pxq2afZSuUfT9pxBGsO4zLY22r+Q2daDTXzl tn3lDlafL2a2FWJbz1Pb6WgD7so8Blb7RGbdEt/UTZu22+wK57Nifji2pA0z 2+iRe2X2a8NutUzF3HHkD3VN1sKPSMc/k/exanvTGhXbnq7rtC9FGR2OdVVq Wz9t1svsr8ixly/ME1+hbR9D7GCPggPn9vFcXvWD1ffB+jtLv6fkLvtrvycz 29TYHxva2bHvSg33s7PO68fC9S0wp7BV4bu7bOFygMqPCvPThuXGkuHvgSfv 2bY8NPcczVw9suE5D18c5mo4VMh/6Fo+U/bciG/OtoV9op/Mjenhb/S72jxX ti/Pv/r9cmpfJHBC/JDgWfH9uq5iLhb9LNq23/EOhfm3+Bv92fR8j8ycf7/6 hGgyU/Wr5MbYXsU+2TRuN7uuwznxXcA36Yym+cCdDfMZ2RdO4yJt+2mfqGMt 3bZP83zYpLBFVn0/4JHCm4KPNELtZi+ZN4XfCmv5pdELVT9ryXwn/F2Q4Xph R6b9MpKHVMyhWgH9R+3nKJm3dl3dPiI/gePVbXf/rWGfJ/iXfHfACzgWXFDs 6XOWzIvrrTHPVTLnbWvtv6razoJtq/CYD8xtb+dY8HHvwpe+ZA7kNXXjbCN1 bTp1jvOUzLnF/4n+8b3EB4f2a0veprA//MPYyHT93yyZs3d1xVw7fMpul/xV yb4MH6f2VegmudLyebysPrrp3OZW3WiV+zes096jsVwceim+D3eon39L3he9 CV8BdKc7Vf9ttEGPhfsxp+SpOs5bqXnbN+GHqDZNlfdo+w8l+0S8Xbbfwbyd 1gfghyBfGroBbeYDy1W5ALabsvUEfBvmy8xdYdu7Va/rmduPzb0WT1iLZ8Zs /9TPN8v26WBsD5Stt6C/FOp/rMaZN63n4COKDeJ31kdh42Q7NohvVT9LZn47 fnH4x8E576v+T8nMXcdX8PGy9TSu/6UVc9yp/yK1LwnX+uGy9RB8Fe9omsPY 0jn+Wbd+Vqicktq/Dx78O6l58PivXl4x15F9r6yY44i+s3Vh39h7c+s+1KHj zVJ3ie8kvEj8EPvr9/6p/VV1+GRU3f5G/6jNzYGV8w5v2DAXYh3V/69hbsxF dXN2aiVz0uCxwWGDy7ZOYf/WjXP7yKM7Paxt95Sty8Gzvz+1nQIu/mMNt1mz Zv8jjjWOb3rh/vGnw8ehKJkTwhouL9lnY3a+OyXb7ncrjNusAf+/cPs+gRHC x8FHtVvb+2Lf36Rm/4C0Zt+Hdslcl3rgP911nGO0/+YlY0RwpZCX6zA/jXXr Up3GkMFUsRvCfQLvwh+nT2F5lZbXt7QHmx0T3EI4hmCv6Ofw4tAR0RWxyfbD 3qC2y9Z8fzhH+O0Pq80yKg+Hx114Lb9yy7w4xkBcgN21z5nadwmVj9UdM2BI wxgZWBm42hJt41qrtczdop8lO8zRon7ZDvO2NiqZu3VEbpm1OXgr1xSd7dK6 efH4/s4KbluyboYehe0Qu+ENdfNd/9UYtg0bJbbKEWXzZeHKjkrdHo4sdkLs iNgQT6nYXoitsKrjzlKyTw12U+yp2MCuLHzviGGC7Yz3fYPENlPsp9gr4Qxg 09+WdUTZ++KjMbpuHyzibVwT9lY48Xekbo+fKj4CHHeRxPZTeO2bSb6x7HHC qca/jXrsC3AeeHc2T4zhgityP8DQwTDPSOwjy3yyG2PTdbtO12Zy233QF/1v UNhvsbfO66K267+Gu6KxPqTtFzQcmwI980H9vqhhPWeNmuOBID8UzwHHP7Fh fwTeTTgu8MHwN18qnjOet1OZnxse85Kq66m/Y/XzSPCkwu03wbZSNZ/k8sRx XeAA3ITOw9yh8uyGbbTgtPsHTgFecRDPYdUYJlgl/Bc4DSNYX2TmQGycOgbO uSVzVokdgvwR1yq3X9o0/OFSc1k/SKzXoe89m5hrdU60J24DvOJDOxy3gfaH dThWA/zYwyUvnVr+UO33rnhf1JEsNebzEjpG6NgXc/6BRUxgzZyaFzslcUwJ 2vfTzq8H/xMe6Jyp8Ye3Eq8PWSfCKZ07NY9rcmJeKv3ATZ0vdZu3E/uUwcWF Q7xXzbr9qjVjsGC2dybGhsGQwZPBWMFd4XnuGtd5C+37Qt3X+Uxd/9Uy80bu UfsBcb+4b3BK6Ye4POAsnCMxMY6MPsGuT616jbMbOmFqfvX7fFvV/2DV7Q8e mXrM7ybmADPOzTscT4P2h4BdpL4v09WmZ2ru8XusW4Iz1pc5B51b47pK5bPB G4c/zvcHnOfFxFgPMlxN7GvwaY/n3ayZL0x8lAWarh+lumcq5jPBZbqp5vmS eCq8p/Basb3M2XD8nBu0vVG17WB5bfuh7Ha8S/Ch6lEP/or9jvcEv+OZMWcy f2LfByecWLZMPToPtgl0J/QBbCLgftgsSv/Vl13PXL929M/4Dmi4zfUa28Tc GPnChf2X6ZN5+9vUmD+4yhaxFnstMc8ZTGNgh/nP1O/T4RgmrOngpE4KbjMc Z3C7V7TfenAkU+/7un7vWzNeuG7N8UZoB3/1lbp9iIkfs1msEyeq3eaxTpyU WFdDZ+Mb+lpuH5yeGv+ImuuOaJhrTfu9O2yvof1RqHMV8216qX6uhjE8+CPz av+xJfvuDW5Zv8CfDz7eHiXPLUupTT++obm5c8gjE/Nk2Jdv0mNgOiX7Cf5U 9zdk54Z5Z/DP+E5g98cXaduWv0Fj4juCHR4fQGzxcNhoD1cNLtmY+O7s13Lb WQrzOvAN7KX64RX77q2S2M8KeyJ+3udr3ztLXpvAn8Fn/ETVt7X/XSX7be0W uAQT1pdqszLnpOd97sL9D8LOrGM9VLKPHjyXR+K73D/8g/ATIs7Go6pfM7Ef Kf6k+PAMSc3jXUjyYTXXbadrsnH4quCzcmu0XzixbR+uLL4nQ8v2P0HH6tWy Lwh+scR4oc00lZeXzWNgrTU0dXt8VbDhXxHyWTrHx+Pa/t2wTJyshwuPGb8k MH7agyXtFf5K+C2dUrYvCseGi8U9GthyTADiS8yom4fMPYWjPEzHuj2u+fYN y8RYuSzGyRj+CvztmcTYGBgZ3NQNMmNo4HUvhb11S92LFaM9XNUNAyMamxjP Y98xibEIMIHHEuM9YCNgRAODf7ud9t2n5rgTxJ/oFZjDU/r9na7DAMln5+Z8 Io9W/deF7bBnqn5o1e3hLsMppX5UYt4g3MJ7E/tlIG/dYX4NHEQ4NsNChnML J4r5Db7TGsEtuT8xV5BxPpCYIwZXDL0O/9MHSl4Dw2ejHn0M39V745mHC8Yz jI6H/yBcOHSw+wrvi//Uzi3X4bO4U8Ntvq7bf4QxbKs+Zivc5y5qs2vLx28W xmDAZcBklqr4OhMHbe/Qo9Cnvqvbr/bbunEa2hPP6/yKOXYbowOFPRT7Lr7U +OYQ+2PPzM8Y/tEnRD3P26ENx6a4Bo5ZzXaAQ1R3oP5+LpnzNiXWv+DhrPFY 64GTs7amnm/BmNy4SNryd4d9e/JNL7yufyx3vAJkbF7w2rDToW89r237qaxp 36llr8HZdz8d+4uSbWdPl40hwBsaVzZPjn3hEH1Zsm0L29oX0abRMK4/p57t R3O3wR73YuF1/VjJl9ccY29+tXkiN0ZV1hjGlI1HMc5JsR7HvvVs6rU06+iH ypbzWDu/EnNpn4ZlYgP+VreO3Kn+nyzsF3+I+j+8ZR90/OZ3D+yX7wFcx+fj Pr4Q54iNjTX8y3GsiyvmKqO3gxF8E+PsXhjfeCp3LAhk7HnPqn5Cyb7zC8U1 J8YO+Bs4EdhKZ9xT8LEjW7aT4HP/dhwXLvHRbcdufK1tP1/4h3fl9meHu3iH yqMK6zvdWtYN0RGxO/Cb+hm5/ZWImYKOOVvLa+iPVT+24Zg3+AvsU7bdDlvY ZVX7RKFzjmnYdod/ypGFY90cofLAunVVYn7sX1jnnRMeTTVsox3GS7HVoYtt ldk++EZi2x31vHdgwGDBzJn9QwYTvqdqLBr9fHBhHWF+9X9oYZ2le8sYcDs1 nvxQNewvan9PbhvOvzyHZeMe2EZfLZtvybP6UG4sE7vxhTVvJ+7F26mxR+IJ 3BCYD7YtYhRMj/oO1tiqazXNH/0gnpm0YexkQMMc1E9Uf5B+D1L/b/Ktq1lX QmfC3grePGtqW9L9ufftaNmHiGtFnBM4Yr+XjQMQvw9uGryvfRvunxgdF9fM NyVGCJxK4kFhqxrLs1FyjAg4kMisnY/R7/XQtQvzKNCdsAOuVDXneX1tW6xh TOJ4lXfX7Ad5csP+2vDJ2P+XsvnY8Mw+Ltt2j96cVhy/EYwaGxbyPepjSsX7 0u/Mss+N84LHBCftJNV/Vjbfg/pbM3PE4Ycf13D7Hg1zLeDcwLeBp4G/Gjyp ZtUcDOrh49AGuy0+1PBwsHtiA0U+LXF8y/mjHn4QPCHwmVdyj2UhXZ/Xy8Y2 l+owRgr/AS4BmCHtmaNeUvsT0DnBIRrW6+EgYOeFD4zd/6WyZeb6CcFp4RjE bPkn+h8X/Af6gicIzxzeIP7g8EOw51IupGM82rYvHmObTeUx+luwbL/UnWJf sCR49NTDq78yc8wv5qIhLW9fpPDzNWtc81nifsIfPLbh38STBLfEBsA7Q4wv 8H+w+WnxrIHt46M9LerBwt8NmThmYM74aOPrPTnk28r218AOC+ZJfDbeW3BL 6tGN4QNzLGKgYMfANsE3A8wU7JTYa++EzLfg8oaf/9M05ufLbo9t+K7UuCg8 W+L/nQ/OpGt4ds3H37Nh+8bbMTZsHFPiuONzrx17oDc1PM5zasZWwUyJPweP iGcRbgD8I7hK2PXLVXOKhifmhVHP2ozYpPPEs/tvao7csMSxSZGx/Xdv2A7Z s2k8kHcEGz0+Am/E9eFYc0aff5bNecLeT0w5MP+/6vbZR4YbAK+bewEnnBgC c8axuCf/YJvVNXkh95p1AZ3vnWV/K+E3zBVt4YGOL5sjxPz2Tt36zgyN97jU ft1fJuZU4qdJ3Ix6cL2wERMnAT+L/3hwyNj+uvw54n3fsGo/GvzH5419aY8P B74cxGRYJNrAr1ihal8LMIrB0U+Xv2tmzhx8udXDhghGcZ7Gun3ZMaPwf8F/ DZ12s+ifa4hvKXZZsI7l1f5G5pWm+XcbRJ9bVd0/x4J3t2LMe8e1vB5dsjD3 DL8wuB1rhQxmgf68fhwXfzRk9FX8eog9i+7drWI/L3Rs/Guof1hj3rtqPhj6 P35b+BbdkNh3DD/rB9Wmf9jWwXdWKXyO57Z8XPpEz9+oaj8j1rzw1OCr4Zd2 Qsvl0oV90KiHw0aMXI7FWgAuH/Z+8B/4gfje4HeDDX+VuF8P1Tz2sxoRN6Ns zAe/udWjPWsl7sUYnuGKefxcE+zgxMd7InE8MGy7rHPwqaSeWMH4TOEPCGa1 bNh/WcvAe8S3ERxs5YY5BWegdxe2j5/Sst2cNqe1HO8UDvyqKk9vue/lCuva 4DLo2+Aub5WNvTD38w1AHxze8rrhp8K2Kbgs2KeQ0ePR4b+LemTWHqxBWI+w tiBWCHFCsHVgFyF+KzZNZOwjj9W85iCW8D+F/SvPb5nX1KdsPW/XpmXim22c +bllnYidmmd1WMv8EJ5/dK01G16fbdD0ehNOCWtVfCZZjxJT7ZyWZfwpx9Yc P404amNqxtWIr3au+tmk7PjGv1TMZ+V5OLnlMS9T2Da0S9lx2LCV0/4RtTm7 5WOuoDYrFb6PZ7XM46L9C4n5J4yNtTOxVlaL54eY5MhLNRyLm2cJPBPeC1w1 1r/w1+CxgUHBZ9gznjFKMC38rVeumOdA/U2xLzF20UP7x7VaNTgz4E7wEAZE /foNr9e30zUcX7O+THy7nZrWp4kDMGvwCp5N7A+ODM72fM397dm0TzF8OXRy bGr7lh0fAF2cevDi+6vmXbDvp7mvzewtx+5jPOB1cI32KxsfTtuOl/hZ7ljZ yOjkxGAkviK4dFeMh6jP2vanIB7jJg3r87s3HZuC2IzEPfgyN+ZN7MZ1K+Yo Ur9f02021X4f5V5fsM7AR4NYlMR+JPYFMv4axOsmriZ477e5scR5wOfarv8+ dyxHzoU4gfW244H8mDteJfFUwYdfrnl9cBA+W23HtPwpd+xxZNYCO0R7ZHwG WDvsrfbbVexHAM6/a8X2D2wf+JbgY0LMt1LhOnx/Owv7AuMTDBYFhgUWdWnD cVy3aji2xpDoE1sBPt4Sk40r5lVS/3vu7yExQf8JjhNcp/UqflbBT/EVXSvm c2KGw9nessM+xcj4HieF+U7wnmap2L+YNviAMufjK4pM/YjEMSr7xruwTMjM pay54cWynv0zNya3Xu7rQWyq8+rGMMDL8LUgBt6pZWN6xKEjJtyHdfMmziyb OwHOQRxnsA6+/8RoRh8gthYxtnpK3rZhLsZ7dccToP6/WFvHlY0XEg8KP3/8 +uFinF02/gbOCN54eM0Y5DllxxO4ruUxE4vr19yY9AItx0dgOzEJwSOJCc7+ 9cL4IpgtMQvPj/6JdwAP44u6OQ5cnzli3c+cj84Pps53AU4COC46GfoY60tw E9aY2PnRvdC7sLkTnwhdc0bLNn1s8cTkgpcBTwPdEz3799gXGX0bPRqdG116 asj/hC4MX2fvxLwe8AWwBfRc4h3/GHotx0RfpX90cfTbr1rm9cD/eTf2pU+w ojHxPNDn2KiHW4kejd48INa56JZvRZ+M+c04X86nK+Zo2fGLkMH7wPoeCJn6 vHBcJXgvOzQcM+nomv3twFXBVO8IGZ86MEJiRPLthOdyadlcF/Txh+N8aQ92 DO6OzRbbLX6yYOtg7ODerC1Ye+D7jb0Xuy/+t9iH8eXbILFP5Vc6v5va9rkk Zh++luCLV5aNOdI/2OWGicd2dRwLXZp1Dr6T8BrgN+Aj+VbUc/2JjUH8DeKa fVL3u8A7gR2VemyvQ2re/lfDsTWIu7QEelrL14q4U9u0/n+8NN4h3iXeL2Lu ETf+6HhHid9IfK79M8e6WjJxPKfRIZ8UujrvKe/fpaG3751ZBrc/L/UYiHnF u8g7w/vCfEBsDuaEI9t+L69pO5bH6Gh/RM3Hn9mw7YRrDE57e4yNMW/R8vPA c8Fzfl8882B+YH/waZaPe806ETwGXAZODnGz4bHB9WW9wroFv1Z4ntSzfqGe mNTgfm/EO4uthmtGjLKva8Z+6BOcZ4+KuWusb4ltSGyvxZnfypa5B8TBGhn3 ZVqMGR9V4lPhk7KEylbFMSLQdYk7Rz1rg6xuDjWxveEcwT0CazqkauysK3Zt yX7g+HdjO8KGhN84mOurMc/gc4B/Aj7CM0LGT4FYtNThX4yNEVsjPsWsY1nP wsNnTgNvhQM2M9pgiwSPBqsAo2aeYS0NJxA7J/bOtcNeB/cF+xx2UXyi8CfC VkcddlLGhg8zmAgcGdp3+ViBY5ftRwMGA0YDDtM9ZHhatzbcBo4B2AkYCr7V YLRgtY2QwabB4cA23isbc70ZTl7ZvIIsOGDwdqaGjN2Q9S3r3GVb5o7BIcN2 CDeBfRcMrH1KzPNg9vjY4BeDHfWbOF9wdzB08HPwGDAjuHDgc6yTWSPjn4Gf Bn7fH4cM5kgcXjhr8N9oMyHquS+vxTyMbznnXTSMFdH/UjFXvxb3Dh4PfB5s 2azLp8c48UMlnhS+pWBO4Gv4UvH88hwTf3PXhu192BDhM48q2+Yya7QHFyL4 zIw4LmNAxg+IeMbYpFkTYW8Gh4DXRD0+fvj0dSuchwgcnjnz+pg/+W5iByWO xuIh8w1dNJ5z8Jw/a45pMKLu9sSFZx6HXwPPhjgCcGrwtQafvyf6533BJ51z IXYBmDrxZ8HzwVfAPlaL8/o0zgXMjBiX4GLgcHCnwDOxQ5+SmBO1ackxqvAf hFdFG3xm8bnF93aRwMzARsHRaPNr9APPCx/j82It+UVcHzhbXD9s9xwXLBUf KPBEsED8PvBzglNGjhhwyZMS87vmjHPBRxKfkg/Kfm+Jcf5RvMvI+F/hb0U/ 9Hl83e/7R1EPHl8JTL6UOjfLDW3L+MyMjjU9a/7/uCTIrPXmixLOP+t7uB2s 0c6IdTdrNPYFxwETwM9x7or5KXBAaI9f4UrRhv5Z37POh6OO3kn8JexozAP4 U4GpMtfdUvEcB26OTgIGD1cFzgr+j8w/+GUx792obbdVzJH+M+qZl/ChQqcD Ry21zKPGdkYsnNkrjocDDgIeAk8A/GO2qMceSIwk1rrz5o6XQtyUi7XGWKJi vhN2SPAdsB1sjNgauzje0Q96PtgMOBQxWFgPsy5mLbx+1IOHwL2Fa9stcKPF oj04BXgFOAb4E+cODoa9d46Kbb7gPWBJ+N5ijyUWDDZZuFpzVhynBVwEX038 NM9vuv7UWGcvEPXcrwXi/sIVIq4fcWZYR8D3RU/Gnrd3YrsYcVPwo4cDyTcX bJd3HF4uPhfMyaMq5q9ij4TDisz3F/9B/N7XizrawRnmu49thrb4xNMGH0Le HTB03sffUu8P12f2qseADYPYIQ9UHP9nfMX+HmCsI8D3KubbfRL98J7Ar8EP n+8EXCG4RMylHPO5OG4e9XxTty9sA810DWZpOr/YZXq+tiusm8OthqeDjxmY Er7P8KLh+YAlIWODgG8NF/i+urEjuNFgSnDt76v4m4HdF/svdlX8eeFIw+35 JrUM5+fpiq/z0fEN4t3J4xtELBK+R8QJYY3yccsyHPHfQ19FBivGlobOdV/u tQn+bH/EegSsHJwcvwP8xFhX/NW0zRYb5ZRowzoCnhl4JPgkeBsxyOD74QdE TCTWrazXyZvCGh/+HblVPox61vPEqERmnc+6HhlcgBwW8Ph2iHowD7APOHRw yraOPslDRk4M8rMcEf38ty85Mz5IHNcHzBq8eqWQifOD/Yp4oNi/Doj+wU9o 34g214Z/DZxAcAC4g3AVwQbAHcABWH+zDr80MJjeMU4wj80qxnCoJx8GWA3z IflCwELpe0DMjcSWY57k/WfdD+aLL9Wx4X+0e9hD0GXRY+ES9o4+WeODfRCP g3UKdnF04//VzRMk/x73pF/0Sf/94h4Rzx4OIvxDOH3IxLe/BF5UYiwIfzti 2eNzB/ZDbpKpcU/hWZIrB1xkp7gm1O8S8mUN3wdwFeI6Ed+JfHDYIHmPsSdi e6xWvA1/R3yq8YtExmaGvWxlncPWfLuatrdgd8G/+1z9LlfMfZ036rHFYF9j X3yr8fXEroNNhzb/xL7YIbFfEhMDGyM+otgZ36/a7xucHEydHHLE5oI7A6YP nv9n4Ws6V27fUPbF1xt8HJwcbJ94XcS5I2YXeP/C0Q9YDlgPceS4/0vH80C8 a2J0YLeFMz4zdDbsNdiEiL3A+oP418SpWyP6AS8CNy2ifsmQWadgt2CNMjw3 9k/sXb5/2Gqa8ZxjP+Y9wP90pajn+44N+Y+4PtiW4ef9FxuLkpx31LMW4hhL hIz/PmP+K3QzfJ5aMZ45op5zwWaJjgZfHt4095H4D/hCYXvG/oLduFKxTelO XduXK44Xga0ZGTsacbq4bti+wfOZf5l7j86tT81seS4F60H/H962DY/4HNgB 0OGYo4/K3S8xOfrXjM8RI5D4b8Qb5xr+XTJXBi79kbl18N9a1uXRp/mmH9bw 92y+hnVGdEd0yh5Nf2PmVf2nhbmLp6iPJdv+vhHjhXvOveeaw0uFDwQHdUju OAp/t+yzgF3835Z1ZvjoxDzqXThGEXkqiQEGlx0ODXG+iPc1sm4MBA496/bu IYOHwEOEGwcOAMcKziLcrXMqjk/UK3HMMnAR8r4RLw99n7yW+7bMo39L5eNN r1Ue17FOrziXENgOMZKIfXRZ7jiBxCffu2U+DuNH5+8ZYyaWz8SWfVPwMyM+ E+2Ju0ScNdbN1wfXD+4g+NK4kn0JWO9Mbdnfl5hnv6aO+0N8hPcKx1chzspV mXUCuL1rNh3/Yg18MlX/kf42wH8F203qOWTTqvUw4ih+kFofRRdlXcX6iucA uy7PD88ksQm5d6wlL8jMHWKd+1xu3ed7jXGxsHsSFwKbHe8lc9T84cfNe/RA xA9Bx+Zd551n3kCfheOK7rpc0/E+llU5a26bJHzq2yMeCO/OOlU/b+y7UNgu iYUBh/ScuL/Tql4/42P1SNM+/vj6z9u0Pxg6zCuFOQHftLyexjbGO/V0blzh 65bjSX0TsWXAIWbGtTo893rol5bjLsGJwAcB3xN8dYmv81DEF3qwacyWd5m1 M+8cGAmcjUENr41ZRxOHgTgSP6vPD7XfB/pbC/5Tbv0FfHRYYe7dd5Jnb5rD Vud7kZmvDI8Nnhu8gS9Zo6XW0XmX+dbzLSPONtw0+GpwFsB58CUDszqx4ri1 YObkVSE35aE1x8hFXigx9k0bMD6w7qOjnhhd5K6Aa/ta6NX4dB0fa6XP+dZU 3YbcFmCKxPwFV8R3hBxeYI7HVZzPg1we5PRAhuuLj8nQimMIowNeFXogvNch 8b4Tz5cYvcSZpy1x3onxPjX6J54w58GYwd+ZR+Gyo/eWQmYdzRqWWD8nJ8Z/ iJsDP4fYHcQc6cpnVLLMfeSeso25FK493H1iUxMPBH2edTIl+v0G8X7BuWHN PFvI8Ck41+PifOn74eifd46YJnAdwXnQrdGrwbvgnYNfoV9TD/7DuoPYJawX 0LXRuYkRxPcB/R7dflrse1SM4dEYD/o+bcAB8KNhPOS5IN4y+ViH1uwzSn4X bMTE4ANLJo8z8SbANeFtgJ/gywSm/VrIrLPgNsJVhd+Izzr4KLH7iGdAXAOw SnzWiamA3y5tiKmAvzAx+7mnayX2ySM+4EfRHtxyjdyxUomd8GHLvof8hmMz MZ55MJxpcSz0T/Bb4ixg/6At+4DbY7O4PPbleefdINfjVoV9MW/Pve7j3QEj ZVxDY2zEtCZXHfld0vDdg0MOnk2scHBsbFLEzYenQp7KgRXHJgN7xsevZ+L3 49B4R/BVRCaHCz662C7gAFNHu6642Z0+Ljan1Qv3Sb4//KjIF4nt8Meqc7to c1c+0AMrzgUzR9syeW3gp5MbBlsgvon4NMK1b8fYwO/JDUM/nybOA0P/5Ji5 OtovnDhGOn6R+EfCm+4T3zX85/AHwBiJDw0+Ufi5wz2Hs04siFPhT2v7z8ET gYcB5oBNfmbF/Aps1+z7LGvV3Hxn4lrtXdhfnxyy+xX2rScXMLG44Whim4an iTw2sW88PvL9Cts5sXeCIfwvZPCQ3yqOBwF+RCzqnyuOMQXWBM8AvAnfeHAU 8tVin+dcnmGeLxxrgRzExEQgNkLfwlyP3yvmhBDngpgW5Mble008pU06HIeA eATot+CBxHvle8O6D/4icWw/qrg9aw3yDBA3inXBB1XH8WC9QR3bhieOCYZ8 S83X8pu4npMr7h++HjFBiA1CnDHidBCvg1zDxN4hvgF8BmLaI2PDxQ+P9vgc EceA3JBw1sHf4OKAp3Gun8f5cpzJcS748SGTU4A10aQY56r/+ZE1rC8QLwxd lvwn5EFZLHQ8OPrMReSYQkbfOyRzG+w3owr7xeMfj13ojNS+IPhS4FPBN4M+ z472m+rZO1LHntZ23PfTog35PckNxzZys5IPuCtvXKd/IxOTD5m8Y71bPi7H Jx/Z0am3X91yvqY7Vf7Y8LcR/zEwcOw65GshbxUy9p1fGp5LyBnF+03+ad7x AzLnR+Gby/P4UzyTazUtk3P534pjI4OtXdCyv9qvhdeDxHQeqfrDm34GiL1H rG7qWd89oON+UXFcceKQI8NpwVePGJ3gJMTt/qHiGM6sE/HTYF3JdePa4qtC PAKuA7oE3/+TY8ysQ2nPuhI9kbhp6IrTIi4KMXbOaloPWkj7/l1xjGh4Que1 zJv7pXBM8dcq1jmXaFombwuxr3n+4eNVW+a2nwSGXVim7s3UMRzQncg9yHH5 Jq4RxycX4eyZ8ynDsSafGzlt4e6PL9yOPtmOPwS53tDHVot+yOdA/sfxkp9r OM8quUvgopBjBb7KNplznIBTzNFyW3gy4Bj4KJLfZKcYA8ffNvO+YBe7ZM67 wXqAXE3oKS83HKuWcfIdJZbV8jEGxoIMdwreETwkYqT0C3lMYs4R7znvOLFZ aqmxo9urjp0CT+bJhuvJLXtQYf+5+VqOZQU+D58KH1N8U4ldRr6RBYOHD9ZE LDD4HkMKj4vzJscRuc8XVTl3y9wT8tGQT4Nxt1uebxgbcbrmb7v98epj89if PE778e6iM9bsN0CuVrAs8oUSI4mcoeBO+MSSJwb/gB6px4jPAFwjOEfEECKW UN8oiQ+ILQBsARksjvLTkMG08VkaldhvCRl8e/WYA8ENWK8Qlx/uJc8mzyix 2YkBSD2x+ImVCHcT3IB5nfmdWPlgHXwL4KaC88A7B6uZP+RTE+Pt7IutASwB TAGMg76nxXHBOqgHZ+Dd5R0enTjfATIcTvJfk/dtqZY5qOwLxxXMB3/FEYnx SXybwT/BzZZKjaHhCwGvCX4TPhPk9wXPXCWe33EN+9fil0vOI3A2fJtZm/B8 kT+Y3ME8TzxX8KxY83Fc1n34XeB/AbcKH4slUuOnzFvTY04j3xwyvFDwIjij 5AwAd8Wnl/xNYGPUg4+Rv5R5hrhMrGU/iHmDZ7kUzzN8SJ4fOJDoPuSJR//h OiGTI2/n1L6IrInIr0J8qFpiLjK63icqLyxcjtHze37htkvrnE5sOwfplW3H lGJf4kEcXPM3gm/F7pm/JXxfyNGxZ+o8HeQ353hfNpxLnfrPG8apiHk6LLHv BLY+fBbwRYavCVfzo4ZzpFdqjssG1xieAP2TCyRLHENjjzgWfOq+qTkanzV8 fhyL+Bq7RnviYzGmelyHAXEuxMfaJ3WMrK8blsnDTqwMcsPrMiTvNZy39KWa +yHeFrEbyJ24b+xL/np+Ew+E/faLfemfNsSggH/KOeLvw3baEYvjksJ5F29p O9Yi+i+5WcmduHeMmbHx+6uG9WJ0ZXKyHhTHyWr+fXDaFb6lqzzw/8iDo1/q Dv5PLpunyJxPDIT/Se5Xdy5vZJ4r+LDkHubbBo8SfidxpfDFXD3q0S1XDT0Z nRm/zf/yFMM5BsPHvxOuKjxV+KrI6Jf4VtIGTjL15BvGtrdjHAt9lVhv9E1u mgdDVyeeGHwV+Cus8eCwIBNzDK40vFW+Hc8Fbk89tgM4oE/H2LAvMOczZnKo wOUlJxm+R8R45H4OinvHeFaI80JePa4DnES4icSQxL+M/rFNUL9+6KKsC/Ah h5tKvjG+P8SuXKviPNLEOiPmBHoqOio5pZHxCX+04XbErGCcK8Q1wU+KPvGN Qibu3uuxBoFHy/plr5AHxrqG2F6sTeB1wrnEjoCvOX7sfHP7xpg5F77F1MMD xqcc33L8zrjXyHBz4Q70iXtBrJVB8fx/3/BzV6s5Lyo5vo+RfHjmGPHEabqn cMwcsEryoN6QOl4TMUtGpPZt3brl/d7Ve7FN223IA7h7y+v+t9re9/zUPtqb tS3/l38QPhb8I3KAc1xwTtbOl6bGi+5tGYMhH9SevEQdzjd4UtMx78m7xNgv iv7J7dqV45WYEC3ztsh5CF/swtR8MfgWxEvHj4x1JfFZ8B3HVx6fefJKbNAy j4y8gveEno9eTXlOap2f+Zy8p6yLyc2M3+zUenBrU8fy3qhlP+87Ws5nzJp4 et341jGp5+iLU/uog+GQD4Gco+DSjIM8F+RZpI5txHqi7rqoR2bMGyXmmFwb MnH0ad8r+rw65KN0/YdpHF+1jYFfE32ChV4dx8XvnPGAg/GNOjy+Wf0y50FH Xjf1N/CUwvk6iXWM7Ynca8inxDbakCcUXROdE3vWoU3vf5vGsUTooqcnxp3J lwfHYPXM8o2qn9ywH8Dm2q9/2zkZT2V9VHU8FdZ7rzccx3TJpvP67cB9Unme /l5V/bwt70csYtrR9wbRP1g09fjp9Kq6npxNm6bufzWN86SW19bfq79pNX8T yK29Zeq8T9iwttaxt5b8XM26J3Ff0VMPrzoWH/rz+pn7xf54ZstzKnm3yPtG e/x03o7z5byJ37tl9H9yYT39w7bzA2yV+txurDqPIRx0joOfPXrvLC3P5eRi I1cg8XKnNZxTjFiIzBv0sW30w3GI70JeOfIkbp/aNjqq6n3hvZNvkHp05XFV X2dio3DeHItjrhY4EngS79no1DELwA/hroGxE88b/xbW9WAm6F7oXRs37Tuy Q933F+44Nr4Nm46Vt33dOZ2wSWCPwH+od8jE9MQP5z29sxvljptwXWF/J+7z mw3fP+4j8QSIt4ePCt9Q4gwRbwjuy/5Vy8Qdws5F/CjiUeHLQnti9GHLwN98 QuG1MjnDyCVEfDbiaxGvizwL5FwgfwLrZ9bR+LxgmyN2FjG0iCMG1laBL9P2 sX8rnKdoUPSJ/Yu4VcS14nzRudG3yXu1edVxitDBN4vrQB5POAH4E3xbGMsh TgI6Kj5prB3I78k3hlwE+O3CQ3ogd/4t1h/kEFy3at8qdGPWI/iogMmQx5k4 Y8Qbw28M/zH8ybBbYfN6RMdcvWl/MnI2Dos1L2tfcl4T74vYZuQVxV8Dvw1i PxED6rrc8ZaIuwSfh3hM8InvLHyu1N8UaxzypHIvyamNvgUeSe5OOBP4jtyd +X1mbUWeU/wy8M84seV3fUDbOUbRsaptr63Ipcr1Amfj+QSvIC4mPj/o89hx iGNMPGM4zOSObUnetu48JMQ2B19A58JPjfsyMO4XOAR55uA7kSOrf9U4BrFK sFvMVTjvFdu64hdV7SPHvsR8wM9q9sIYSP94X8A2+0U/vFN9Y8zEkjqv5Nwl xCfBbyEtnCcYf8+uvMEVv3eDYl2zXtXrHXLV45MK/n1k2CnBruGAEZOC8yQO Cdg69wvOM/z4Tcnh0/S41286jgp5NMinwXzLvsztPNcD4rwYM88VGBFxMIgV M2vh89s9zpG4osSteCd3fFHixjLH4YPFfQGHJZ4/9eC5ywc/AZ4C+x1WNSeQ uZG5mJiozzdd/2TNnEH4ysTSwGcYrhb8R3K0sSYn1gix+PFTJf4+WFbfGDM8 tEFxLuSoA1eanNs3n7gTxLDkPPaIcxnbdmy+wW3Pe9QPjeehX9x3cq3hI/pZ 4Xxb8M/ezO3nBo7FtcV/bt+YHxgDzxh4Gs8GsU7A4ri/e8ZxGe+OMWbwcXBy /AfBVskpCC+OeKfExSauA3FQwYFYd5+d+TdY1WxgZZJret671R3rlBin+Nnh 87iy+r686VxXDZUV/d0peXjN+BvvwN+F/ebA/pirT86c5wh8jLb4OWNDmRq/ kbHXMDZsNthZsbeeo2t4etv2zIfaxromxziJw4rM+LBTMh7iUzD211NzzojJ +lrIxIglpxR2UzBP5vR/C9sUuEZg78TGeDV1fAx4YrTHFoUdAZz/98IxQYm/ APcPexax9uAK4MvT5T9VOGYIXEPi1xLjA54CSjmxUODJPcP6I3VOPvTv4zPL WyaOyUGuKTgP+PjD/SV/Cr6ucDF59thGLio4BPjwwolZQse6R3X36q+KPt22 T+bQtnMHYnMjt3hH0/syHuKrwDUkXxk5uO6JfTmvu1PzHvAFI78neT6rTbch bxfj5RyIBYLPXZefXWHOBvE34Wq80Ha8lWdz+2vDfX8xt98l/Fred+I9EPcB XgQ+qvhmrlg4Pgb8P2KCwil4K675ty3H4yW+Lr6s+LQ+UTPXl7x94HJjNb5t JT+g+nGSj6hat+S73aqazwk/kHj0cAixGyPDL+Q5GR/3nZwh9AN+PjO27YVe p/s1LnU8i+cLxyYFACBG8w2xblxHx9sGvbnuPCnIxLgj7zW5TciBAg8TriTx iR/KrA+h64Kp7xrv8qdRj45ErpMdQ6fC9oHuRF+cP9dhJ/X5Q2H9Cl9auCLE A3+q8HXdoep4eHBa4L08qvq7m7623Zp+3l+Mc2ctz3XgvOGWkENjdeb/wvHG iTu+U838yflq1kfRiZmD8YUhJs538R4R4564COC6YK/HFJ6L3oj3/b2IUftt XOOX4zqTk43Y0Nh6z8os49+F/XdCjJPYMsSOObpwjBdwW3JfYLclbj52X3it cFx7tm3bpR57LnFawAqJi38rcaUlX1BzzBRwfeY34rqAVxJ3nBj6owIvxgeH nH//zT1jYv4B9wavJKZ4ve7cbr8DHuX2FyEHCnF+4DBt1/b3Bt97MNhfa86z Btj0mbZd2/Ac+IX+rtJYLm471xFgWve2ubA8s0dzn7W9rfrTVL7YNp+eXE7k JeUdvbHunG34nF0vee6aY1LcJHl823EDzyAGasztzPHkaGTNearqP9Dfgtje Wd/XrbMRg5NYDP/W7U9G/jhy0g2pO+cc3CZy2BE3mpjX+NN9qvqrVR6rvu4l 7rl+H6vyPuLXq+5xXZ+pbeN956l8R39vYcMovMZmrX0o29teV6M3Tpfc1r7n tx1rlPxRd6N/1u1rQcytt4LHRa5VgnCi+xPnHtwH/Ae5b90+/BPqjk0P1xxf fOKfk3uX92zzuuNBrNR0znj8V4n7uSGcfJXrt51PnbzqT4NZqv4ojtN2vmD0 o63rjsGOzZj5eULb3Fx0gJ0kX632O6t8seF3ClvHpLbjfHEvJvI8SD5Z5ev6 O0H99oMXJnl42WuNlyVvoP3PVPlK21zY73LnsCRGbb3pXAnblu1PP7DuuJnk NCEuPfoHfvzk592zZM4VOfNm6Lodov7WbjtnGvnhb9XfZjXj1bdJ/ll9XFWY n8G7y3sLXkQc3edbzktIHDzi4X3S8jtNm46a81l/qLJRc57wL2rGhUZq+0O8 i6y90fdrzkV4JWt8Hecg9GfW0YVzecMBIgYeOFKZeCJNxwmH00McSnJonq/6 +5q2J3aX/FrT/BL0IvQh7HboGsjkgNuH+6zyVb49qfOXkf8X7hTxvd4pnOeI fEfkIYW3t0vDuc3IcTZZ5RuFc4SRK2xy4XxS5JVqx/zDPMR7z3wFN/92He/9 unPVkS/pZ7V5uOnvDt+gcYVz9hE/h/g65IHC1onNc5vANMGVyUW7rI71VNO5 LbDtYuMlbxd2YezD8+degxO3flLDeMobDefaYP0P/kFMn4Ub5iAT7xuOTIm2 deu08EnJ2YQfArFLH2s7Zxu5cR9vmxtBfjFykxMrm1gCZxXGN3jfJ2JHV58X q5/39fvUmnPYbaTyY+4L/vQt5219hvV1zbnDD1C5qf4+k3xQzc8+8Q2Ic/B0 23MrOZ2xCcIJGKp9n9Hv3Wr2rSvX7V/7M/yZuu1+vfFvYF9dt7nazieILyA5 FOFaEGeK2NisHZi/yYdDHl7q4RyTH4r8hXC9yF2IfG5iPlhRNfeVXF1t9PPE MWvgFNMPuatoA2eM7y7f3zVbrstjX2IyE4+50XJ+L3CvnWIMHH/tum10a1Zt p2ONv3roFegYyHCq4Z138c/rxhDAy1g/09ei1YhJVfL5cC6cxxxx7nPGOZGf Ef8V/FjgA9OeOONw2+C5dYt978ycR3yE9hmVGTtZMc6Fa8s1XrFuDjW5+cif Rvwv7JLERyWe4XyF+dHkBIKPiu2SNvAE4AzMH/XsO3/Uk7uIWEfwWxas+rvL b/jz3avmxhDjFA7xPIW3c0+5t4wRTgp4D7ZavtfwS7GxEp8Leyt8cjju8Ns5 5twxBvJUzh3jx/ZKG/jP9ANXFT4rx1ow+iS3GvnXsDNSLvJ/ZO4FfFru0SIh U7dw3CPKniGvqWemL3zRtvk2xLUh5/THhcdIng7sS9iZsIETi4WYLHwDiDcF 1203/BvghXQ4f8dTMYfcp+331+y/tUn44BEHH5vo02qzYtX5rE+vm8f2MTzB lo/L8bFHEwuJPCGj2851uUPL+jb9k9fvjZq5M9OZzyQfI/n1mmM9gKfhF4J9 Dhsh9rdr4HKon43ajpWPjZA473yXyFX6PvpN3TbUS/j+1sytI//ndYxf5Q18 J1R/nOqvbDr2FoZFfIPGN4yNTlC5g65FVnLegFWrvrb4mh2v9nep7qO2cWre R+KgfV74/YMPf5C2bZE4NwM6PPEysF+v2jQexzt4V2YZXG7tqvnNtAHDXizu O/yGlWIeow39wIPi2q8S93poy88XvOkVm+YIkG/8NvW/TFxnnkPiPXVxDNRu MvhU29xwcv7BDwe/J18X2D5+K8jkBLy87fl3QR3nspije7S8L3w1sDtwvCWj H57/leMdOb7la8K1Wbduzhp5zKu5/STI8U7ezKVijlu07pjUszYcOxrfXXKP 8t0nD8PbsaYnliu8JjATZPCTS5rOAUou0CmZ5ZsTl2uHTJt1JG9Xdw73ZTL7 xmJjJe4tdka+gcTJBQfHR5K4t2BNxC5aN3OsrWXa7pOcL9StE/XU/S+OBS+X fCHwdeHaw7nHF74rZ0hmzjm8cuLVwi2HNwR/CD4SOb2pH5yYW0e+Lvh1y+q4 X6ntOQ1zGBnz2MS5f8Czl2v7nJaO83qpcPz+7dvOoUUurZfr5tIQnxeeD3Zh ZGzH5E0lTxZx9vFpWjb6oU9k/JvIoUWbgzud25z4kgclPr/34xzJp4Wf1ot1 4y7Egmc9+31cc+Ya/DepB7NCTyHmexdu1ul+OHc4yeRrgbeMrwBxscE58WMg jjA4ORgh9hhsMeRGIsfRmYXXqNw7MEbwKmIBg7uBfyKD3xIfdlDidTHYJvYq cNELmr4W5JIFf+O4vKdzNc0XmdQ0JswY4M/wPq0Q142cL9xHOGBw8OHiE5+2 Kw9M1ONPQ04OvqHY2cgziq2N8/4gngeeDfJTch0WzCzjH/1t5t/k9bu/6Ry4 5MLlvSOXHt8g/G+Q+QbxveZY50Y/PaLPhaIfZOZFnhny65LXjfxu5Ay9vuoc lNiTsGth3yIHIvltf0ydNwFO2aVV28XA7Im7CteL2Lzk8YHHTpx+9sUu1r3u OAHk7hnfdP+7Na0/dOXR1LYFc3PXwBA4LvkXscHhM/1hXE9iGvDsNTudD7XL F6Qec1FmTiz4IXn+KjGWj2M8w1U3R2aMA7wRnl852nC/8JtAl58rc///qP89 Ese87fK5yOx3MTl0/jnr5tuTvw3/Vvw+eG7x/ejKBZTZXsa8ytiYJ/Ej+DiO xdqB8XSvef4npyPfFeZkbKvMw4zrozh3dDba8I1gHUA+SDiQ+PGRw4/7hx0E Gb2CPKqsfXhPycXMuXBOr8Wa6KqI1bBAtKEOmbgN5FciHxDvIL445OglLiJz wErxzA9vOu/5MJUHtIwvTm55vy9i3644A6n91H7X/fyj6rgs+EU1M3MGyKn0 Veo5c86asdJT1Of3Tce2OTD6/DL6OS3wENqQCwkZfOmPzDmR+AYT54E8K8Rh qGaW6YvjMw5izhA35beqY6fkbfv3L9xyrAZyKTGO6XBGsRW0jbeRP6Z3Yiyk zryfOH8quDJ+1peo7vPUcfbwPfosdczsWWs+V64VvAX6gdcxRsefob/vOo2T k8OPNSo4GHn+WGP3yYxzgvuDT6HXYfckhjXfjSvgizWdc6xv2PHIxYX/WiXz Gnn5xP4c5O6CB0J+bTgIY8Nu8081eNQlxxOHT0+MI/p5F0wW+4WOdXXdvrqM Dc4PfjbkNls6caydP+LawrWuxHF5LtLM/jv45HKO+Ab3aDuu0gJtr+EZ5481 8zz/Zm3Q9rj+jrHBJcanaFSH85txXHx9iP1F7jR8lWjLPnd2mItC/TKJ4/kR 1484EuQ24ZqT3wS/MO4Xucbwafi+ar+JecGYWOPx7VX5ddXxzuBj/1A1P5s2 PEvztM0nwdcCTuBxTfO9j2JNX3WenkUS5wlj/pij4ef923jmeQZ/jedwaNN8 8OObzu3DvsQlGwKWq30vq3tc31YdD27lzO/m4Ph+8XvDuutWjncWPJYcqGDr pzdtf7mj7nljetW+w7xbvGM8x5M73f8Z6OWZj8exsKEQZ5wYC7SdEe1p+120 Yd1PriywVMbN+RPbiJzv5IBYpmWMhTVxvWWfLHxciRVADnhyE+Cb3MWVrXpO w+/t69TxB8ir+0nVHK5pmY81Tn21sR9X/f7iv4gfI7lUPqu6Hr2ffG1cd94X ODxfVP3Oo7MxBnQzbCY/pPZ/hO8MHxo/d+q+j3rmdvLCEgMBjB8Z7jg57X+O e31008/NVB3ry6plnp9JmX8j0x/9EgtiaubcSPDT8KvmuHCwwShoP0vbeA9t wHEq+n1h1XmQx2a+LtgnuDbIzyfOq0l8RvxfHqz6NzIleTcnJeYc0gbuGXkz 74j6RXPn2yRvJrZ3uODwwM8GK9Hz+6TKaYX55+Q1u1nb76qavwvnDZ4KHBX4 Kcj0Bc/t7qq5beR4eTDG87jKp6rOQ/Rk1fmayfWC/zN+0G8WxlypJ475oKbn zYPq5gSS75ZY8HBUiLWEfxzv95h4x9mvq9/OyDVadb5R7EVgetiMGMPTVcej py6LenI0Px5jI081cTDh+/Hdr0cbOMbkc4Lz/CpjrDr3EPVvVR0jEv7z63EN x1ctw4XG/vBGtJmYOS84flicy7vRP7xrckTBeQaXh1MHTv9m5t/4ixH/kliZ 48A66o5JT45UbCDsSzwKODX0z9z0SNXnMzDuBXl32If1xX1xX5ao249wbvWz duqcQ2BTi+XOu0qeVuxuXAfa4VNwS9VcR/DSU9E3WvZdYGzwYCc0fdwBTfsH jK3aDwKuDfjncYnjY8Inpw1cmIdi/CfpfB8ImxHYIXEdbmkmXSS+E+F86JlM 6467dnPdNiba16N8MGR8D8mvTKx64rqQv3C/xL6Ij6T2wSY3AjkO91X9p1FP jBFwIeK8Y++BW/RXaj9Q/DWwg+8a3zjyPX/RYQ78YyETb/MEbHttx7o8XvLf udvThu8+OVD/49u+0XaMNmLAEd8c/0Vk+nwytc2dcT0aYwM75ZpMa9nH8j9b HzFSaMP5LZ772SdPNP7ff6b2Aec8Zsa5wCEnJjjvHjFmiGWDr/KkwvFmfmqZ G4ZtFx4m7w3vCHFiu3KwV51nYfbUuQTIIwBnCtI58Q0eRW/Ttutq5tY+Es9h t2hPDneeEerhChN/nBg5CzXtE49vPLgivvG/xDPDmpEch0vHsZDxaSXGAef3 WuHj/xNtiKdKnNW+bcdZHQbHujCGP4z70PIz+Usc6+HA50fW7Kf7R1yrhZu+ boyN54F6/IWJb08MiNdzzxW8y6wF8DeaFjJ8YHzq4DDjB0esdmIlkJuH7yD+ WeTQPqHq3+Tz5Tfr95Orsa3Ta3ny6LAGph84nfA5We/TP2v8fk3P0eM0/k6d 83mSO1TuiK2k6rzOrMlY+8GfJt4L8a/xXYQjST5oeIzYq4hLzpoOzvlJVfPM GcuwGBt4I23IF8T+7IvuOiT2w/aFzBqd/NFduWuq5v/Q9rg4Vp+69VDsdV38 oOgTXfio6BPfJY4LxsH3ekR8N/FF4lxYw8KNvCbk5zNzLuFb9sydm/rswrmq r459n8ssv8Qzl3vte4Da7Ny0XjMgbIAXxncKHhw8SziW1F0U9RdXrXO+oH56 qJ8bO22z27duDvhEbMExHmI+k6+MvGX4OnH8a//PuTD+2zodExl/JdbO6AnX Rj3tb4gxkw9wZOz7TOb7yztIjuyb4xvNszE6nj2u4U3/57jsy3VhXDfF2IhJ xTodnB8+Y6VqnQ0OPPmt4cOvmDrOMtcB21dntHlF5fNVc02Jw0ObF9T+5cz1 5ON7JfN3kVx7fBvHx7eS7eyPHx3yuOgHO/zEaENuP+rwHzm46W/wK5JfzSzz LYbryr7ECMLPDo4s/NjBTftwv9x0Dno4ecQCR8fjPUWvA6tJ493k/YUHC57D GF+LMRMfelLVfkxwbF+ommeLzLHw6UMHmBhtiIdCf28Xjh/N958x40dwVtV8 U65xR1xDjvVSnO9jnX5/uaforqVogy53eny76YechfhCD6xZH1xb5dlV56d/ LnH+d2Rs5MQQH6u6bZrWybl3xEYgb/lZcX+57xyLmAPY1OkLezs5EidIntDp Z2l4PDMvNL0/faIHkscdrjL38eW47+iWL8W+xCJHN2SOgmNOPCM46OgknNd/ fjHkesS/mnGdEteK+efkmAewvQ7Xfn+2vP20aLNn3fuRlx0/T7BXuK0PgJNi G2gbjwEngkMJDoO/5emJv+184/FnWzVkvvVXaMyLdhhLWa3tttjymKNYtzN3 Eo9k18BVWAcPjbXw7Ln5vF8Vjt1HvD4w3mNjX+a3nTPbC7EVrtG2H9hC6r9V sz/0iKbt9d0CwyC2IHjZzoXzt8LhIRba2zXH5viwYfsR/awR7eHjEHdw3bZj deADCCcFG9Nk7XdIav8BfAemhx/UDw3H5SbHGLnF1tTx6iVzI4mTQrwU+CTw ba8L3PKazPwHrhcxbIhlQ+7IH1qOZwN/DN4FfCj8DsEawRyJgwp3gu/8jm3H 6RmZOacMuYTgV8CzIGcQtrp7G7b30IZYecSFxF+fGJAPNJ1/5p6mczUSq+iW hvNyEuOIWEfYbLHdYrPEJsv1xy7LuVwbeCzxY2nDOpZjja7Z1sQxb4ixgbNe G+dOTk9iKxFjiWdpx3h+VqrbLkwMkh9b1mngh5B7Bf3stob9H3hviEuPn9wO md8X1lnks2Rt9a7K4zJjVcRMOiYzJ+O2wj47+O4cnDtve6G6f6tus3HiGB3k IWO/g3JzesgJP7rpvO5H1cyB+UryXm3zXvA72a/tPo6Nfg7JjRmRN35Q7jzy 5K4fmDt++g2Sv1Nfd+k4V+q8Dwa3yOzHOyDzb+RR2NFq5gLtkxvfGaF9b9Tv LVV/WNt+akPUHp+i3XPHqiDfMhjUoZl9h/CRIc/6c2rTH1svmKDa7JkbWyFv M7mlsHks2nT8AOIIMD5igB+WGZ+av3BcdWJ7slYidyk6NLyb7TN/U9DLiXWH zk4uAfQLfFi6fEwyf6P5XiOj27AWJv8o6yjylb6c2L+Db/emmb+/4Ofk9EX/ YA2FH/i4+M5ul/kbyhoKf3JyKcBFOjIzzoI/Fv5g8LS2aDtHKPkltw98FZyV OHv4Hg9vmN/EPVg0cV4HdBbyrKHDb5lZJ3+jZXxuRtu6OjnV+BYR4w4O+mFN 547YOjOeSYw8cm8tWtjODieAvFLkVCWuDTgYMSEvyhxPlfLCkLFxIF9Ss+0V m+b0wvFn/+Mp4OczKrGfwIeF7aMrNI3Dg1+DP2Nzxd76ZWE7KTbdlaJvjkf8 SfgN2Eno87OWc9zDvYFPeEZmniFz9gkxb5OLhBxymzWdR4N17/n4w8bcjs2S eDUnhkyuEzhXjzScuwSf+d5Nr0lZ0xJPBwwS7BismDUt6zhySNEf/fwXy/2k wISJjXlC1GOvJ44W8bTA5Th3MLrzMvOgDkT/0TU8N7NNcN667XXYnf5V3ayJ eTXYubDtzY1dpelvGBzbnevm16/dsA6MXruLyrxlTh25a9Dj0c3R63et23a6 juqnpf+vqHMPuqKs4/gL76S7z+7ZPdEMM9UwDRTRRFoD5ahoijOEUEl5SQxC Gi4ios2Ul5qMCJRhHGxSETVEA0zumIOKFxQbhFTwEuoUU5FdIKioGS9EYk2/ z/t5mP7a5+w5Z8/u2X12n+f7+178XTK3L8r38E92rNEsLqzDgclRAwDfw/sI 3zHu0UPy3GpPK5eLY7mr1Cvrh/m4mKfDcYfL1afn6ZWTDK+L9fDh8dDmvwWT x0scvim8NPjnYKLwjuGosR4u612NPiPkdsKfg0d3ar5vw3eH94lHN88mamHk c+HN/Xxj/hpee9Syy0ZvFeaAZLTB24S/uSzXXfAD45qDP4RnLFkk3FPg9MEr gV+CTxR1Qz7DNUqNj/XU+y7ptd5PrZ9cS3BSfMK6jTX/P7fWbvBTQ89DTt9+ 7s+1mYPkOU6tzBOE87qIOmdjZht9DS+aDYXcgk5jHZ/+xX2Q++GKygwUxr5f r63Vwm9Y2aN+Hz7QT+hXjdqUQ63ZRviucs3gF4COaUel/wJanu2xPAJnqUfu KBk3zDGeiuX+jh78cEE3wkGJ7d8EZzB+64bCut6nM7dzS2VmFpqrW2vfX5A/ QyYUfig3VPI14W3iZ7ywcJvUyfgs38EzjXzFGwszFqnjc62C28PJgdMDR4j8 nVlgO7X5ONwH4b/BY0ELDr4A3wHeAxwIskLgc8LrxEOS9Ytim+d3zAQhGwR8 nu0vyVjx0kJMe01hNiHYPlx9NAavgXkxry/lDMOZAb/fFMs1mYtPHmMfBlCI 0TF+oM18kLkec2PmgDzjni3E4Jh7Mh/elfFkMGKwYp5ftMGKGZM/VTh/4Jm1 vXCOSrY8+CnY6Vu1GNjTrXPMZ/IzkTkvv8vzEhwDjAMM4cHC7LQ1PfLi4cej X3uzFrcbG9t5upaPMCapZePz1EHwHYSXDycfbj5t/DHAGbYW6jOZL/BbS/Ln 8SuE8wQ/gd+Ct/DPWt7gyvj/3qjFAVc36g2Z/8AzXnyi8yjmUHj34YlP/u3Y +N//0eNYZXRH7iIcRjTXZGo815FDy/2GWt/4jnWSL3b1JKTWQr7rZRnrBvPG NxP/TLjcgzOGBpaGfxHZFiPgzlTWyMnnHFCrkUH3cyyZU0J+4M15n1fmeSQY AXPJDzWu6+1aQ6CuAGaBdg+9Ipo+nrV4TaKz3dZxrHQbv1ur90EzxLxwW/5P jiT9f8lFhEsNXwNN7obcf+nHUzI2BUaFHgK9BNoHeDhPFOofmDszn9+X593g BYyBmXvSZg4Otg2GTp2M/2xXIf4/qdHX7I74P39VyNugfj2q0fcKThT8KLyv hke7zbUkakrgB/zu7owbgFn89vgctnDs93qjZxkZd9R3fllYQ3ulsH5GXex3 pX5p34ljvCbpobYr2osbeS1kZYPlg+lT0+TeQBtsn+2xXWpG8Gh+X8iloS7E evr53mi/Vlir3Z0xDTLE+/R2hT5lPNv3FXIbeH7yHGUutolaZ+zfE3E+t3T0 yrqvFdPtq3/0lz/zaCGXBu0lHNKpXbVv6B7RwaH9fKxQ4/l27XNybaM2lvUf aHKWeCH2h38734X/Qw0frQh1/G/3Wtujrkd9jzY8RvTjeJzyu1x/tO/r8Tj+ kI/l5czVgZtB3ef5wppRldSsNPH+f0rvl/fX1tOovcGvwg/m9TyugEu2t5D3 BJeM19xr9ub26h5xFfr/1bGdh5uc7Rv/25yMQYFFoUFEy8o4Fa97+hGa33cL eYIc78FSD8EjlTwD5nD7uGeU+vz9Kelv+Jt+al8Ocg/pp+YXnQj6LnRO13bU h6ITvbwwa4daPN6geISCCcDXeLuQu4AXKp6oaNbavD9wJ1gezftGRh35fPhV DG3MtENrwFzjjcL5BvNA5oPwPK+I9pv8dtftHCnkRd4T/8UcxhKxvAC9Wa+6 HvbjrUIexVVd2xx7N+8D+3Vv7ZyG71LXgHfAPXNlfP7cUs3C/Y3zWDK3yQsi N4j8z23xegtzp/jMQ60eF3hdzG30a7402vMaxzrDWnmmZB1Riz9Q6gOxLH53 abw/s3AO/PmMvYDBoBlAO3BOLH/cmC9FPvyyaD8S7YGtWoPjuBGelXAf4Hqs 66iXeTKWK2rnv+A5m+J7VxZyGOY3+lD/kflvo8/FB6O9vNHrYUu0xzG2BCNp 9eVg/+HYzIt92ocmJ5YrGn0i3g8ns9Irh8xG/HzR4O2M948VXpec96Ud8SJ0 Sdy3wWTAZsbVam/R4A7LeBk8pjNr9XTo8/4W6/5e2A93dvTtWN+Kh8Bjg4u2 vBQX+XBs87Ku35lJ/+5vm++eUWedHee/dh4Hl5Z5JR7sZ8Q+n9x4LyU3D2Oi OKw+vcB/iz6Lwp7Z0T6t0rOGzNWRldpjciNfqsQZ8bQYVKkbJnN4eO1886RY zujqp7InX9tcn1ynh+O9X4O/xnH9LF7Pj9dDunr1wju7EA1CR/+RJbGP2zt6 paxu7RP813A06Sv/zv2uzW36/6LG8fTw1nXv5PU3No6t8eHG6wF8EYzhX/nc sW2uhWP5PE7I4xU8bl7tqEE7pZGXDbYDxsMzBY4mXMADtXjJefm878/nnucy bTw19tTiu3vhsdR6stzdOIaknoHe46+1viwPt3q9HCrU9mwsfXadHud9etf1 /LeHaj1pzmrFIg4W4hHgTfQ5+tf85H36OTR3hbozOE/n1GrS0a9TJ0UbjOcr ep/+ua8tox+eoHbpheQz5tlav3Q80tG24OfOnOoH4MPJ+tZ5YBqluMxtjJ2S OjU8U/FpxI+R+/bLyfHujFqvKHyg4K7jPQV+enurbw8eLGCnZBbjq4XnDPpK nofMna/umnF4ZyteBm6Gj+WeJG9pJvOs2P5Exj0cd7SnMTaqzXEjs3B/MrsN 3xyeHU8mtRAfq+Xqj8h4Cdlta2P9X+L9uuP8ZF+r5gQMFN3GukaN487Yr+u6 6p4YAw8sxfzQbEwr1dVvp7+UZkKgs5se7Suj/VKs/0XyeX9nHPs3S72k8dJB e4YG7ZlYrmrU6OzomteGdyfZjq8mx3lX1PL/8RXDXwzvMy4F2kdLn0H45ZxU 6mGH1gYMgdrxkTimucnx3rZYzuioz8Yn6VOlXuM/T3rsoDujXw9N4tj44X8k WQPHA39WKS6GBpDfQkuCFge9Pfd5sId7K/NcyHW5hnsBWgPul8mssI3JuTTn Al3FR0uxX3zLB9bqdtHv4qGEFhJN5APgm7HP34r2qKTGAu/0wZWZEGTUN+X/ vY4WxufeE+s2d81bgmNLHe/EUn+0w/Hex5NZao/Fcl5llgHZFPjkzM6fgbf/ iXxtXFuZiUY22guZFzI0Pr+hUrdD1gF+d5PAoVqxteNaInIKxsY5mVyq5UPT hyZ0eCkuiPc+GQePUl/tivWNzvtMLRy++Lut2gd0Rgei/d3SDACyMvFruj62 ubzVA4r+Tr+/uLSes642Kx2fcjw00IuiG+0HdpX0Jafv4OOKn+nKVu9WvFnx okHPCha4vvZaJRvv8Vi/KpkZ1hvrVyQ9tsgs+DKaiV6zwy4sxQQnx/8zqBTH WJvEwfHXPhdcvZSfcmKy3+EXsD22f0+8HhTtiyozAsksJDNwVtf7ODob9GCT 8v98feN9jPvZ+lJtxylJ78GvxLH8KJbD0ELE5x9J1r7AA8EF8benJjM86QeE xxDaCJ411M+/QB2vlDP4YuzP+aU80rm1nl03x/trwHuT+vJ1Sa8kfJPeafWV wmeK5+4djeeOc0gdZFzus/i14tE6NI7r7iQWv4r7W1duJXo9NLLUMuCjwhOm rja4m3nIuU3dhyxwdIkLK/OkyJWixkatjYysWyqfjfjAfT/pAQoeDu+XsfIU xpiN1wb3ydNKeXhjarW5jPHwK7u0VJ/2vfju10p1hNdV+tUwZz7cqotBz4M3 yGdLuZLgqKeXek2OBXdt/P85D7cmx8ncO9AjoUtCO7mJ/eBZEOvXJPGvKdH+ KfeoXnXfE0qvK66v92YOIfopniU8U47G5x9POfMifvd2ngG98kvfl7mvn+N7 yfEoWaQTOU+9nlP6MH2Z6+eSaJ/Ksy+2uT6Z2zqdMWapFmJ2tB9M8qHJZICr TP0JnftDyfoouQ1bkvl29H+0m6Oj/Y347uDSDIoHkvme5H6WrT5F5F+Qg4GX 5sX52l6aj2VAVz8urtmltb6XXz1Bzdr4pF/CWbXYNc9f5soTKrMTyFU+sxT/ eDHevym2NSbWbY3luGSuxYh4/ZlS/yQyOKjf4LU1EsyndBz0Sqxf0jUXYktX 7gscGPQNQ5JZkZtjOTLO+4Z+zsGbykzHOZVeoPh/Uredl5yP7kh6HoGXgpuu yjVf8uXwGeOevCCWt3St+w+IbZ5dOncDbwN/AYehT+KNhicXGvxptbwrOHoL khzbC2r9u/Db4prHFwI/h5bxfm19nTo/+nl09GdH++TWPocmmN9izMhYcnIt xwj9B/7Oo3KtYXOlZhX/aTzE8GyiL1C7QbuKDxb/P9oQNCJbK7k+eBJPTPKG OHf4yKFPQ9dMfR/uBnwNOKvU2eAtlpXZpZdX+gZTS0P3NyLaM/s7DrmqMn+T DM/xldxKMsa/xBivv7UAOElwk/Cex3cbnfXU3MajA68OrofdPXobMzaA3wd3 739peexy "]], Polygon3DBox[CompressedData[" 1:eJwtnWWYHFUThUd2Z3d8gjsED+7uHlyCOyEEd3cPDsEluAV39+AW3N3d9cPy vW/O/Ohnb/WVvt3TfW/VqVO1A7fZbd1dS4VC4edKodDD371rhcKrnDiwWCi8 Ui0UPkK+sFwoHEPlJ8hXNwuFc6n7tV4oXNspFG5CvgR5VKNQuAB5lnahUO0t FDZnjMNbtKXP9NRPhTwVba6g/VnIH9L/PNovQf1l1J3UVyhsR/kprrc911u4 v1AYSft3Ga9B3THM7S3Kd9P/WvvTbhT9J6HPM8j/Ub8u5Yk5nkaejjHWofwQ 15mIexvOuR3psxdjTIj8Mu1/Z34TUP8vbWejfmbvnWt+wbW3QX6Z8qu0mZl7 H0X7BuXLaDOQ9kdzj6PoO5ZzPrjZaf8/5vYM8v+o34O6C5nfubSfGHl/2p/P uT+Y0yO0fYejRN1BnqP/8jyDgZSbzG8k8m8Muwbj3cp4W1Ju0/Y2xluROe3M 87iLc4sy1o+cv5PxT+eefqxm/LWoe5PxC9S9wnEU9ZNTP4bxj0b+nmvtz7nn KV/FeAdxv+9y/EvfkzkmoO8fHAOoPxN5Sp8n9bfR9nvk65Ef9X4pv8785mK+ l3K5AZQP5txflN/nGgf4vJnzlbT92n6Ur+KezkF+k7rzkQ/jfBH5RY6fODc9 5+pc6yiudTPlnXke/cz9Wcb8mvFv5fxp1NcZ/xbKb3P8iLwU/W9grK84BtL2 qu41X6H+c+rHcm5Z5FsZ7yLGe4r68xlvKp5Jm/kfQv1MXP9N75H2s1J/Ie3v 4lib8pFcb27avkH9d9TvSvsTKS/FsS6/xz7UL0F5aY71kK+lflXG+xj5PZ83 5Qe5n4Va+f1/991EXoQx1+H6t9B+7Vqe77KUH6bNb5T3Y75TMN8HGGM9+r7F eD9w/RNpcwrlitf3edO+j/JRjNfPu3YB5w5jvCWQN2T8u5E3RJ6Qo8BYt3Gu n/IpzGHtSp7N25SX5vf5lCYrIZ+DvBT9N6btPZzbmPZTcv5zrlXjWN/fmnMv 8i7dyBhlyi3mMIbye/5GyD8hf0TbKn9vZbz3uIe1uvfb5lofcXSoP56xbqF+ No456Hsv7S+ivC9jvMV8L6DNZ7RZiv4/In/GvB6m/jXqR3D9GbnmY5x7hjY7 0nYMbVZCno9jRa53DdcbTNuDGfd3fp8/OA6h/CX1Vdc/2n9F+R3aTIY8ijHe pbwb16gx/pmUx1AeyfXPQ34P+TrkZ/h93ubaffR/jLoHGaPjt+b7RnllrrFr X57/YlyozEF14SDGf43yzdz/pZTf7443uWseDXahzfTVfE/LUH7QNZfy4tSv xXh7cL07GX9xzn1LeQ/mNMy1hWNz3wXkJal/jfZf8zzPZszDKX/gd+d6hPwx bUscvC6FA+jzEuVnafMy7V/h2Mdnzz2t1JP3uclcP3HNoP+O1H9B+519H6jb l/7/cu4C6qegvkT5MMbanfrvqR/pO+M7xnGs986c96P+Jd8P2i7OfE6gvKLP 3G+bcw8jT8s9TMD1/+SYh7oX/A0Z/xKewXDKc3IsU8o3fJVrlffLWNNxjVuo u59jXdpPSfv5KN/C73VeJc/0O9qORj4F+XfkNbm/LfkNPuDaGzPmodz7ZPRp UP6YMUYy/h4cP9D2DMY/j7kd5DdO/aJ+A5Q7js9c/qLdVYy1RSdr66u0/8C9 spa96RLa/E2b72i/AnNbifrDqF+P+uNLWeNXYH7Pc7xB/3O55lb+1rRfnrod aHMC8ysxh/cZ7w3uYWL6fs65p2g7zHvn2i+4RtL/Ts5tS/+xyG8hX428jetL NXvNRVz/Y/o8Qv8fGG8g8nfMp5/rHcdcz0femrqrkU/mWovQ51HqL+PcQ7Rf HvkHvy3mcwT1O3GNLxm7D/kL6scyxlT+VshbUV6Al24L5FmRZ0Gen3taGnly v0fkOvIg5JsZ8xTvn+N2yqtQvzP1OzOfPajfrJN3dUqXNea2KfJLyFMUXGD4 7Wj/M9d/mz7T0X4GjplLWcNd359zj3L+yGcx/tXczxPIK7smuNYyxsrMZSd1 FOo+bWb9KzDuJVxrE58xfSfn1H8+O449uNautJmJ8kKMsRL9d6T/ApRnZ7wJ uPfhyMdRP4rjLq63GP2/of4bxruikXd0X8pbNbM/bsz1Xkb+l7/nuh9w7mfm /iH1b1GenHu5mPrFOLdhKXuE++GenXx/fodXuLZSvxT1LeZ4Beeu4fpPc/1V afMb170d+XPkqRjzS/UZzj3ls6fPUMpzcf2l6Lsi97Q8Yy3GuTUpr0L7RSgX ub/DqB+BPGcr+sRWjP0rcov24zh3KPXHIM9BeVH6rNGX9XlB2t7BsSZ123G9 ObnWCvRRQZ2XOZxG23/pc0hP1ui/Ka/D0ct876Xtpdzf1bSfDfk2nlGF8sIc 66vgcu5m2vQwvyPofyLXmJu+u9LnL8b+hWMn9VmucRLlHvpMQvlpjkeRRyNv 5p5En3sZa3GG/Bb5TcZcnWtt5Zy51r08s+sof8t93MB4X3HuBtqfyjW/cU3g +ifR/mba7MJY/6gzUXeU+gh972tGv3Lvv5H+T3KNB7n+KK6/DuU76X+5Gwht tnQ94dwsiDciX+r7xXyudz2m/RyUn3I/pv+lpeh7g+jf4v1bjvYH0b8P+die 6PRb+u7T/n7an0r71Sk36POjz4p7GE257nrpfsq57dVHqvkthzKnb7ne2b7v 9L+PObyB/BPHHj4fzn1A25va2Yvmpv52rj+uGl11Fsa/kvH/U6dUF0e+HPkx xrtbfZD5LOdv4TNAvpH+Q2k7mmMR2s9P/Y1c60bGP4vx7+bc7szvl2r2zqkZ 7yLGW482JzP/0b7fyG9znEHdQfT51PWQOU1IXYfzV/P872C8y6hbVP2Ta//F mAfRf1LkP/3WafMt5ZNpfznlMX5DzG8v5rMk5f/R5kDaH+F+wdiPc+4+6k+h fjDlXsY/SvtBnYu2FeSjkb9CXo72T3gP6jf0/xH5BurPqGS9WFldspG9cjTy Asz/EO7vb/qfhrwl8u6d7M/u05dRvoT+R9L/csYbRv9n1JHUN5CfpnxBO8/i a/osz/WmVmcsxUYaoK5M/ZmMfyvtd6X/qR7UzUD7y9XtabMl79dH9Pmdvp8g b8J4h9F+hGsPc9iS+U5M+yUoT8h4FzLeEz4fxjqH+1mf+m+QG679nDuF8T+m /Znajp18z4v4rVFe0j2W9ofQ/hzqF0feHHki9S3Kt3pN+t/EnK5kLndpb/Xm G1mA8voc53D9/xXyfkyIvCflubjGRJQ3cL2l/jH3Q/du5vQH9zN/Mevnmczv cu1V+jzC9V/jfsZRfwTyK5QXYQ4bMZ+51ImRT+PYkPL01J9K+VzG37o3a96T 7oeuWVx7MeRrGH9mrjeReyPyTdpm9BnFfP5Rn+d6HzhHxpuwEHt9E+SrqX9D +8x3m/ldwvwWov4h2m+q3U79AOpPpP38jL8Q46+GvBrth1H/BPU7qe9Tvy3y 48gTU38d9fNybhvmtzljbk15Ie5vde7vJdrvwdxep83J1O1N+7HUn8W53Znf Z9RfzPUvQj4UeVbkFZnbLYz/Jvd/CvIslD+nfnF1H/ofQvvPkBdDHso1j6H9 zdo0jP8RY0xDeUGuvxrXf5H+u9F2Mo4rerJnbk3/Sfx+kZ9HvoD+C9B+Vdq/ QPtdqHuhmnfLOb+h7sq562hfof0O9J8c+Rrkd11f6f8k8nNc+1/k+5CnVedB non5TcH8Z0KuMt9FXG+Rr6D9COrn4xp3Md58XH9lrv8M8o7UTdSOLvivz5v6 jdzHkJ9zD2A+kyBXkL9njGnVnzi2KuU3m68Re+Vs5r4Dz7DCvcxE+xnEDzjm pu50daLu93cu429B/Z3UtYpZz++m/mrq70F+gfqnkF9GnkhcgbnexTXOZ74z cM1pKJ9B/2W41nPMd7j2DOeu0/YrZr3eivp7GH+KYvTlMYz3APVfeT2e1/X+ Zsx3AsYcQd9HqL+f+rr6HNd/GPk+5MHqDNTfg3w9ci/1w6m/U92IvjMVow/e R/2t1Pd37cupkG/m+lXqd6P9ZsznBuQhjDeE+fzpGk7dOOZxB+0vdf2l/9Xu 363oPOo+Z9H2dur/od3WYkXaN9rw3i/X38j9lfJjnNuyHPxjPvrcx7nLqZ+P 9vdS13a9of5pnwnytLT52/2Kcxtpr3D9G3tiI1/B9R+nzVDqdhE/o1zh3NqU Z/C5Mp9ZGX9gX/a8B6i/nfNf83scqE1P+RSOBbX/tUkor0KbPUvBBJb0Xjh3 r+8H/f/29xf/ou4210vKA13jStHBJ0Oe2t/P9ZH2d6j/c/2Dub81aL8e87+H NkWe33f0GUn5VI6FGG9b2j9O/Xm037Q/Nqb27jSM9xjjjaP+IcYbVM9etTX9 Z6M8iPbTc3+rI9+E/IA2Gv3Po83c2qrIN7mW0r+H8gKMNx+Db4J8Er/d/Mjz IJ9N/3cZf27OHSS2I5bD87uY+sMrsbmHaq9zv0N43jNzjZNcC6nfmP5TqTL6 brajS/arrzHWA8h3IH+CfBX9N+pkfvc3sh/dzd9RyDP7fvqu035+sT/m8yHt a9TfRf9VGP8fdRPq70QeS/u3Xe/oM5r5/En9aZQ3rwer2cLfGPkc2u9L+zNp vynjDeHcCaVgDCsx9ry0X4722yKvI55F+x7KRzHe65SHi5H4/dOnR3yiE1vt O/UPrn8aY56uvoF8pfoGYx6nfsz1rlcfZow3/R7pfwTlnbjGfZSPpM+LlG+k zfH9wQzPEH/jGsvS/izGe1n9W5uwkP36TcqDOMbRfw36b64uyRg/lIJZvkz5 UN8v7v198Rrkb7UJ1eW4hw3FWJnjSYz1A+XR3MuHjHFaMTbob5zbnuNZ2s7i +k/dAeJ3fcE43kM+gfF+5XoNxjyL8nnc0wH0PZv2m2sbcW4X6kZ4j9oiHA9R 3p4xn6b/doz/JOXJi7H/j6X/ivR/lfNvMZ8TOfcb7Xfk3Du0fwJ5OONt7DtO eSWO3UuxgbSfDqH/ArRdkGd0sLqs+CD3/yJt1qoLQsdW+xu5qC3PuTUrwTjF q1+q5beYlHMPU/cCY/xCeSDtV+V+lhLDce9lLmczv6OoX4L6ebQHKG8rvlMK 5jdG+1gbhfEGUb8Y5QcYs0b762lzP+WhtL+yFIzxYdrvJObk8+DcxJSn4tw/ pWCCG1CevRX/gn6Gc7n+WNosSd3Rheg703H8q35Xjv6hfjqvz476HcRf6L8s dZuKdYkP+5y53tTatL7P3ec5D8/zNtpUOU4pxgb5kfq5xJtde8vBUxZxDyvn NxYfWc57YrzbxFhcG3hef6vrU3cl1zufZ3QgY/3S9X/ML4ZWzpotnnKZ+rvP kz530HdH2r3YE51yE595K/aIdsmjnXwfK9B+Zc696LPl3I1ce3uu/QDl9xlv DuRz/OnFS9vBSpal/YHIB9Lnd8ZfjnueWv1cG4nxNivkeT9TCza4Ie03qwW3 FL88gT7r0H5drnEk706D+r0Yb00xV+QF6P85Y+2nDUfb4wv5PlcR0+sLxujv fZ06bdc+eoL+x3a/38k4tzPlA+j/C/2X5tyMlFdl/D3EE+h/LX3H1uKLeIL+ SzLetYx/LPVbqN+Kj9Xz7XC60CcWSv+hrq++L1zvV45ZGLtTj79lbY79qX/W 9Zfxv/D9Zr4XCwepqzPQXtqn1I8Su/N7o35Lv+9WsJe9qX+I+v8YcyLkVyvx YZ0jnsK5T8SvisEbJ6T+FfUf+k9A+TLmczp1q4qtMJe1OPbrzzu0PnUXt2Lf auc+Rt2U9WAxB1M/I/NZlnPbav8gr+D7Ux0PXRT29/3o4nWXlWODDaHvDhzP Ue64Z1Neg2Nf5HVZM/aqRR8X/tinGP12JcbfgfFn49yElEdx/wdXgiFcJ7ZF m2sY/zXaPOda4/Pi+WxRzHqwDn2OEPt1/6bvR1xvo0psrje0DbrrwRn02VBf CvKtjHcA8xlA/WTiO1zr+XLskxHVlMUYxBqORX6ynGuMpv/c7mmMNbiY73kw 19+dul8ZY3Vtdc4tTfm+cvCwF3m+Pdz/nLT/h/oVaT+c9oNoM6Drb7q7HJtA TG1Or8H4mzDn2SlfyD0dUolNvyL952pkLTkfefFa9mz3bsfQXzU5R1N/RDn7 3XHq8Fz7dNcjyofSf5x7cyH+ycur0Q21GbQdtGG0Za7l+Vxez/vg+6yNqa1Z pf4l8Z5SfDePqT8hd8TyO8Hr9NWpo95G+exqsO+xtBng+4j8K+Ulvb9a9CD1 Ic+pz5/KGD+Jj1Qznvhvkbbb0eZhygvSZpm+7MEL0H9q5G/p+1M534P+3W8q OWed9rZrvxi8WLx2hPaE9+D3oQ2jLWMf/cFTcHxRiY0uXi+mKLa4dF/w0j8a 8W+dUg0e4/P4uphvzm/vlmpsRXVGdUcxY7Fj9zTtL38zf7s5+/L7vtOOfaad 9lEn9pJrpza2trb6oLqnOra69owcf1fig5iGtvMgz9cXG0xbzPfDd8d31Hf1 VuYzV1/2IPd2MXmx+dcqwRMnbqSsz2hS8URtkkowabHpF9uRB1L3YSc+aX3T f3FuBs490Y7uLqb6uLpuNffnNbVHPmznffa9/rgTf9wPxewJ7g36wPWFn0qb 9ZHLnfjf9cN/Qnlhzq3SFx1yHrFe2q/dFxtCW0K8Vt+TmK/Yrz7Oawtpo/9T H5tY7jp9wb9ur6bs83BvdrzNSvGZ6jvVX6rvdAjyMo3oROpGX/XGnnnANRf5 RNps4PtBm+HIG/TEXrmiFqzQNcW1RZ1X3XebvuCFyzZSto99L64FC1yG9hNV 49PUt+k1xOMuRJ6qnDXFtUX/6Uml7HnuffpDxe5cE10bj+zEf+Ja/IJYhPuH bXner3PusWq4BEdxbq1G/A3nuNcgr4l8Uie2kLbwF5TX4O/hffFJPOuzRz4a +XiOdSk/yXjbu774DBo5Z506i/7GLV1D+9JHvHgW15i+2Djai9fWYv8OLcT+ VM9Q37jaNd53GXnfvtyD+O+mHOdQvsg9vxGMW6zbc+Lh+uD0xVUr0QefqGas 0e6p6iLV7B1nIW/cSL224U1+Q420sa0+Ie3Fq2rBguUw6NPQZ6fv7jkxO8bf xm9e/gPHto34uPV1z0j/mbU1asG2B/XEnnyJNaxfvJby051gXGJdC/cEH9f+ tO1Yxp9D/bQa3/rAnugri7ay3ugrf0W8oJrxvuPYm/qL3Z/F9jn2Qj4d+dNy fIb6DifgmIj+r5eDOYgnvFqOTb0N7T9tBBv6rov3H9HJuyl3Qn7AqeLjtB9D +6G0v76auenjWZQ2fRyfMf4Ghfjj9c9bto8+qv9qufYp3N8U4nXIS9B+2p5g Ch+LIRazxu7bDKdEbsmStD+9Hh1CXWL/ntgf+l/V/cWAxILcr8VuxHzFfuXv fF0Kpim2uVUtY8k5kXuiDast6x4vPrw7x6rIO/TEX78mx4eF2DzaPuJ38lsO rcb/5f7ZpO3PHPvX43PU9/gL4zyu/4f6AT3xCesbnk4dTvxCHYvy9PXc+yDe n9noO3M1updjit+Jx6mv/OBa3In/6HXmskEXc+6nzVflYOJi47PUwv0ZVw5e LH5s+Xr6zMDYh3TCPxihHdoJB0MuwMr6POvhlyzju0b7E+rxwWnf/UG7Jzr5 3of1xMbW1v64FXl59T7q76tmLDGA9WvhkMitcEz5KgtxrOb7yfgLVeMX1j+8 iTo5dbNpAxdyj/rH5B/oi6/5/nb315eoG6b/pRZ+wUY90fG0/R5CXk//kZiw YyMP74kNoC3v9++1tCm1LU/neLKQMeQnrOv62hNOwp7V+Mfl5qxYCH9LG0Vb RUzkU+re5dzhPbGpta3FAMQCHinnHdB/uDjyQOZ8fD3+ML/1aZCPozyqGn7W B5zbHXkwx66UV6f+TMqPtuIvvkq7nufb5O+v5WBiYmO+M7472mziGfqg9UU7 xqrd99dvZUMxqHo4c3Ln9JHIedIHqC9wVDkcNv0p8iXOr2X/kDcgf0CMQ3+D eIfvtz4IfRHyW/xWxCDEIsQcxR69Z/2l7m/aLvo09G2cpg7UGxtXW/e0avRH OQtyF8QpxCvc89375Zf10Pa4UvgHX7Xjq1YH/Jryj61wqa5xze/knHXqiQt6 f+1wE+Q0yG24qRZuxM6uqVz7S84t1Reb7GDWm59bweLdg7R9F+NcS9sBnX1h 5P8YdzLKk8rJQj7e/awa+1B5Oo5e6q4Vv2GsGZAbyMdzz4Pb2VPdW8WbZ6S8 nf4h+k6CPJzyDbVgDf36eykf1o4tN6EYM/VD2sG6Jtbm9Pr650uxVf3+jpfP VAonQ27G9+34+xfqPo9f2tFtVtHHy71dU4sv1Tmoc8upUX+SM/YzbadrZW8f ydHbiU42pBF9TV3tCzEp3wfkCnJPJ23v1v5krJ/a4QfJE7qH8X9EHtyX3/hw 6udthGchhiCW8Gk7vhV9Lvpejmb85Yvxueh7mUuMwf21i7fcVgv+Ip40fS06 5o3V8O/UPU9sBcuQMyF34ohWsAptbG3tTzgW7IsOLX6xcDPYzwzaaPrKmF9F 328p9uPi4nuFcMLkhsmBkwsntvBmJxiZWNm/jDd1Jzattu2fyFNSnqKT8sXi c4y1ej16g/pDQzyd8e5U3+H3+ZXyLM1wR77l3ATUT8NR6I9/70v6zdoM1+QH 6ieiblAzWPGPyBO7P+lPrwQDWoW6iTjW6s+a+FkreIy24QOF8LUKnGuqa3HP B7aCwYnF+Q3oL/ylFd/W7ch1702fLPJPyJMgX6TO2gheM6l4mnwQ6t7lGgs6 Nuc+Up+kzZpcu+U71Befqf7XeTiWpry8PkPaz4u8LPL0fD/ziO/q/yrFZ6Xv anfx8FJ8bvredkW+pRSfmr41+S83uV5o14t/Un+Dvm7q50c+QH9TKe/w/pSn p/35zGdHrv9lK3xd3+VXqd9eW0ofr3PlmJPyDM34jr+iTwf57Ga4dF8it7v1 lr1H73WqTt6NG/SXiK93YpPLF97U366VsRfnmIO6LznW1U5Bnpvy5xw/M48e 5NU64SvJbdZnqe9yRjElxt9NndB3vx49WX25rxOft743fXByFnu1OSrxiX+M 3KTtI5VwuIr14I9ybeQQyiW8rx7dWo6fXD/xHbHgQZx7vFvvuyQmKzZbYrxr KD9Tjg4xjnOXVMJZvhR5ZC2+vtGV4MfaT/qKx/vwGsGXrXMMx5L3KP9R/sJx lM9QB+r64/WdyjmWeywG+Hc9/KxHmd90yI/WY2Opz8pnEk+Tzyo3UR1kX31v 1N+gPcz4RXWDenzl6qjXUbc158qV6BtiS6fQZ339P/XwVT+qxvetD/x9daxq 6p/xnWrEBtMWk6MjH+WYdvwRr9WDz7/E3+WR1+F6d4s/iidVgkmP7dpva1WC sYu1y5GQK7Eu8rv14Ov/MbcDmMPYdvZbuXb6xPSN3VoP9qiP7vaurG2rD11f ujqZupk+Afks+n/+0rdYiL4jZ1R90Wcgx0mOlPb1L73hf27fjv9OP94bYp+d +Jf0M71P+Z5afCuL618TG+H8Q5W8c757k8nHou5QntffjHW8/A7kQ5D/orx5 O740bdJ/KJ+qT7UYG/O/dnBw8XA5unJ15ZTKLZXjIMdf3rr89ZfL8TceTf8N irEx/9eOPaovVBtJW2loO9yjfaj/k3KReziF8r3OXy4+x3XiEXxvP8mNp81F 1B3HuXGUt2iHK3UM8r+Uf1cfcW/lGZ2mvuE7WAlmuavYGPUbUv8l9cdQ/xvy MOQf5SQ0w9+XK+Sa/qd9a7HX9On/D/lK2h9H+S/K73TyPuur1kepr1JOtNxo 33H9lQs144ub1d/V/Vt9nbqbK+Fvj/djVxLDYCyD/G7rPkTu9VvkeLiS31B+ zH3Ia5Zjs2q7ftsKV/5S7qGf8f9hXiMr4ezuT/317cief7cT/vOW4rccX1B+ RPylHExJbMlv3m/fNvKjP+fYrBLO1Fu18L+GVeJD05d2J8fK5dhE2kY+F5+P MSR7+67Xx5ul4/vIF9tGjmAxPll9s0eJJ5Sis+pPVodXlzcmRH6MOtzFyBfW o9vJf5WrNxHr83HiKzzfu4rh6A1tRldU12sX4084mjYdZXXKag7LxkCs163X tz0A+dhGOPY+20u7nPTrW/GtiJneIB+Ea9xRDCdW/rAxKXu5LhYSq/IUbX4v h7PwE/Kz3fnJ4bqF8gKt7NVi7ms3s0e5V+2sTkt5AsaqeW3Ora3uzrnbiuEc GR/yMMdNxfgMV7NvM1xeOTYXUD6ikXgKx3CsSWvRpd+XM+OzqMZX5f4mP9w9 bk/KlzWy9x1Wj+9nds6d3AinW273gXIMqHue/mN5117k2KWRw/Jeclio+76R td2Yh1eb8bHra9em1L8v5984GONhjAVYTR2SupM4Vqd8PmNMIx9bDjB9r/P9 FmuXM9UOR16uvG3kj8sXXaA/HHK55HIG5A4s0OWP+jyWKsRGMMbkmHq41fPL eWwk5sjYo+8Y/w7xFuZ0YTE+Ev0B87Sy1rnmyY9Tp1S31McwivK0nTxLbRJt E30o+lLUyXZrxP93nfsp468o16YZX5QxItt28j3rK5NDIpdEf5G+jRNov2o7 MTO7aUcVEkuzG+2fpe3DYpw++2belSWp/6QR//U3pXDA5YKLX19I3fX6uBrx v2nPyBF9qov3PVMI51Xuq3ib3C45wHKBb+pEh9D/fDrlt93P+6LDFrr8lS9L 4ZjLNTcGxFgQv7ljkN9wTde2cX1uhmNjnJE+DLk3r7qf6u9w//H9b4ULvGhf +GAvtYOF/8PxB/Ld1G9TCKfmHsobMt4F/eFg/Oy3wnFFMT5P+Q1L0OaLUrDC m6uJWXtfDKSYWLZ5qX+7FE7mRch7aiP35R3fmfnP3gkX+XWOfn253e/1pnL4 ePor5AoZQyWeZgzLldXwBbVfjOFyTxTDP5byaNqcVwznQr7nGq34p/X59rXC URLDk78kd+mp7nojJ1X+7xiOW4qxUdRn9T/IxZajJFfJ+JhnuZ/nGW+nRvCO t2g+BnmHRmI4jOXQJ2gMX1O8mvIw9V3KIxlzaDH6zwDK79Bmv2I4mSczv+mb iR2R47Moc31GjlYxnHb5d58zxnb94agZT3N6M9x4ffqT++24ZlB/I/Vf12LL uPZ5zrqlq7EdjPmQbybHdXQh+vmZjXD25e6ro71dDx9brrYcZLnI8kE3o3y+ WEYnNpHr7eG94bvJSZabLEdRDskZzfhK5UjIlVhOnbs/MYTaI2c144v9tJBY KX28jWriQfT9GsOjj139zdge7Q9jl+avxD5djvf3smJ0vOUpb9VJ7Ic66dad 6ETqRuLwC4qvNuO7H0n7d5j7/dX4QfSHiBccQf16xcSMaL+d3gq2dCLv753U PVgNLic+9z51s7snFsKRObsdzsz39diUcmm0l48rhiOj/bxkO9/Gn/Rfqh3O gzrfTIXEgn4gtlKIz/tS5A+Rpysk5k9+txz4fX3/C+HGL0953f5wjuVzvF7N 7+P7I1fMNd61frly+FNy+tSJxAONJVuvEa7Zp9rsjfCDPkP+UJ2wEf6TXPFF GOP0Rr49925jHox9OAF5RH84Bte5t9cTC6ONeUYj+r/c2w8Yb49G4pW+Efvi 2Bd5/0awAc8Zv2R85YOM/RDydr7LtazF4p9yIZTFKx7h3PaN7Jd7MP5ryLs2 wmmS26TN8YL2YC3YlnOUb2WMmrFq+vyNz5msk/g149g+7QTPk3t0DO2v8X75 jR+l7am832u0E9/5WjGcPbl751XDnTSG0lhK4ztH9seHrS9b/5exJXIk5Eqo B6gP6BOTL/ED7XdD3rU/8QZiemJ7p/YnHlP7YuNCONxyuY1PsK1rimuLNpm2 mTF7r9YSQ7lrIXMwvlR/qLGXFyHfg7x6J3wMeRnGxjxaCw4tHn1sK7+n8YNy 1OSq6V/dvpAYDmM5tOH9Noyr0rZfoZo4NePVhrTiH5+3GI7rXd3n470Yc2Ts kZi82LwxL3dW48+UiyDHX66//kW5k8YoGKtgjJGxRmLG8pHEyMTK3uXcrurP zfBj5cm+ynzWUr92vy/E/hRfmx75PdrsVk/82sqlcPrl9u9Sz1hypORKnVQN l1tOp9zOLcVPehKTKb9bvFFdVc6v3F/xzmopHG+53vJx9T/K8ZbrbTyBWIgx N8bf6XPS9yRnV/638TVyVeXUyq3Vp6JvxRgu+dvyOeQWy0GXi258qFxNOedy z/WXyc2QIyZXzJg+Y/v00Rj/rL7Z0xtOoNxAbVZt1x+p37cen4++H20e+bX6 4PTFyZG+pBp7d4lSOEtyl+RAy4XWJyQ/6jntu0I4Ds9T3qeesbXhxTj14enL G8z4d9XiI9BXIIdX/qD+A7mEH/YkxvtIjr7ecK7l52s/yQ3u5dwR9fif5LYb 422st5xeub2TUn9sPf4quURyuORyHepeX8ozOLye+ORBpXCO5B7p/1uyGE6V 3CrjfdVn9KnL79VfsV8hnDi5ccbcGXunz0p+kPF1ctMfYvzR3fdpJ9rfgXx1 Pc9DvHcM8jX1xF8am/408rWUr6sntuF55BvqsWO1Z1/oTfyN9fpq56bPLNVw fuT+TKZPt5oYeGPh1YGNv3HvnF4sqDfxlPpo9NUM7kl8huvzoN5w7OTa6e8a oi7FuZPriSeU6yznWO6x/ii5wHKg5UIbH+Tc9IHrCzd+02vJ+f6jnhhEYxH1 YcmX1gesL9iYUeNnjB+UW3hrb3xCxhMb2zN5b3x6xsMZ2zcx8tH18L3l1so5 lXuqP1guvJxbubdywOWC6yOWf6t/xFh2OaRySbVHfDfUAeUqGu8wUSkcQrmE +h93L4TzJfdLjqJcRX3ixudN3E78gHEEL3USfyk3bDRjXlpPDIyxMPqs5Wfq E9Y3bMyc/HhzGpjbwBhI4w9uawc/FEd8rRN+kfa3nB25O/o49XUakyG/cYN2 +J7yPl/vxKeib+UK2lxcD/9VrroxXMZyyVe9Xzyc+Q9DnlOMRnyrL3j2CP0p XGswx/HN+KT1KRvPtjbr95IcX1H+nfEnpTx5K7H66/aED34X/a90b+U3uLAV zus4rj2gq9/tzLFCIXjLG/IfW3nXfOembCWmUAxSf4Sxhnsy3oBKfAb6DsSz p0Y+G3kg8gr1+EB3ECNsBT/vqwTjFuv+hmMXfa+uGa3g42KJYshiycbcF6vR qdQv9fno+3mEOU/bCt7erAQDEwvTX7VIJRzF75vJD6CvxJwI5kYwX4G5G8xp YG4D8yEY72+OC3NdaF/LVTcG21jszZrxdYgxPN4MRiBWYEy6/mD5Lcb2GSNo rKD8lDGFxCgaqyhfZ/1iYtyMdZPfYC4Dc0KsJ/5u+2JiHO9HXrsen+7xyHO1 gk/oe/5WG6sRjvDL1dgYcoffaoYrL+dh0nZyiLxaTb4Sc4us0I5uP4JjFcrn tmKbHYW8EvKR1eStMH/Fa7QfTLlejc66rPgL7b+l/cP6zJvhSxh/cWwhePS7 2qDFxMzKlzXG+5ta7Bdjv4/rJH7LOC75JnKG5Q57z9t34s/SFpSfUOJaD9fC 45DPcbDvczOxXpuWkm9kCTkZxS5HmvEPqiYPgBzic1rJP+Jae7hrMuX3xXQK iflbhr47cO6nQmJSd6S8DGP8gfw/+izbTvyXsaJiAsYTrdNMLNz9xfhT5VMa W3mka3zXvjbWSQ7hBto6jXxLX3Sf30fI0xYSc7xy9/sydqLiO9kIHmYskXvM k628b+MK4UjqX3sd+Una99F+p2Z+I38rMSHjf95sJt+LOq7xPQszxgfivb2J n3inmVwixhAZT+Q37bctpmr8xnscrxSDIe3TTMz0cdXgg8ZSr9KJfqueex6/ y13GBNH2IffQZvh3T1QS4/AF8rbNxD6pY+tv3g65pxiO7yWt5JeZrZQ12/jJ Pzi3n1wX5juoFX9aW/zX/Qn5Fo5PytER1RWNMZcDZPydseendaIPmKtEfuC2 rcRuGNNpbKcc10GF2AiTd8LvNZeFnFa5rfNyzNSbHBwnNoP/6+vTR6iv8KR6 4hyMd3D9m432HfeHnsQLt/QpIm9WDl96BMeKxcS0G9v+WitcamOMjTU23vrN UmJqjK2ZkTG2600OD3N5uAa6FhrT/1Ur8a7m0ricc+vT/mTab1pMDI2xNB+0 EktjzI+xPydQv3ExMT/G/rwtnkz97MjzIc/BMVFvctQc2swz99nLkf6N8hn6 kIvhLosPHOY3UkwOI3MZGX+qreA3Jd4xtz763nBqRjTzexkbc67PtJ01xrXm lnLiWX1/jJ0axbm128H8xP6MCff7NQbdWPSd3UPb8e9aNqZFe1y84JDeYMbP dtcnYw8v5Nw67dh42nqPlxOPJGYqdvpgOfGKk3BM1Zs90r1yznZ0F3N6HNlM zKyxOP4mC3d/n0m41+HIi/iuNBPrvD3yosgTO6b+q3LyIfj+y7UwJ8HN7WCU YpX3l/P+z9xMboQdObc4dXu3ExugT1zf+IRerxJOk9ymBZtZa+6j/Sa0XaCZ te0e5I2Rt+H4rTf3NBfl+ag/lPo7kTdCHscaclVvvqGbXa/awQaNu7uMd7vY jC5kjgP50lu1w50yjkq+xNbIv/aGs/Um9Ys2s/Y/zLlN2+F8yP14opD56g+T i6qPSV+T+/9S1XCc9PeLT37NtSZwvXftaSW3iDbDzLQvixlRvqKe+elj09cm D1R//azI9d7koDqgmfXjrlJyWJnLqkeMpTd71v3U9Tejq16iTkv9tMizV7Lm mO9qYuQpK8kppP91mmZ8yeo04+N35RTUo6+py+lTXLwen5q+RvWX60rJyWRu JjkYcjH8TfdRF2K8WSpZ04zHnQp5pkp0FuNtJxF/qkRn0v9fQb65NzlH5Jtv 2058tnHa4l/mzzG/gxiX8W3DqP9TLLwneNh24sH6AnoS71cVU+5NzPzj6hPN +KLVwYy3He77QP2QnsTjGXM/O7/VHr3Bt8S7LF/SxYPVeQ+pxt+hLmw+HLE3 bRC/H/fnM+i/hjafa0EzXG453HK55RfIpRKDl79g/iOxONcs11/xCbFMORhy MaZoZe3dUb6sWHMzuamMCdjT/bIdLFAfqv5KYxrl9Lunnkl5kWZypamDHED7 /9RhSsHozZ/2ZzOx7WLsxqf/3sz+JLd8eo4CcruUPU5+ud+Hvma/Cb+NXveM UmyAddt5p3233SPvdH7V2H3qJPt256tv1d9sWHd9lgvlN+y3LF44t8+vmvwk rhd1uXzqJ63wz4wFuJHnMyHyMZ3wA82dIz9zg2Z0LzF4sXhjqg6sxr7U17JR M2vxaVyz0d2f3Mvcw9zL5D/pW7hBH0Ur36dc4gr1dcr3Md5Gtewprjf6x7VF 5MjIlZHvthz9b3I9o/3L7qf0vwa52kpMqLxR+aPGiurf1lbxHfddP6cWO1R7 1FhkY3zlqBovaezv38x/vlJ8JsZv6jPW5lYnO0pdsx6O542FxJu4P2r7+I77 rovfPyT/gvbTtOIf17ctZ8DvWf+5vvFxHDu0wyd7vBCfkPwzcwjJGZWzc0In /vjHCokZKHWC5z9XCOdnpq4/wNwLxvipr8uhEi8VNz2bcVZpJXeKe5r4t/ro Qb3xGTzdTE4Lc1t4Tv1UH8G8Xa7FOxxfu34Us6bq7zGn2k/VvEPmWpuM+sdL sbHMF2cM3Wr1+CPlF8qpllttfjpzsX1RS8yTc3Ju61G/aSE27BDKS6s/l5LD w3wfy7Xi6zbHjfmFfEd9V81pY/6fZVrJJWZOF/PTrMDxeyk5Z4wnNmfZp/Xs seo/8iv0NbqGuZYZoy9fqMr9rd+KDaktuZ2YQdc+MBehmI++rPltL1cEee9W OHriWOJZxkpuUQ3H1yCy1VvZzx3be/LezKnxcSGcHvHQT1rZ2+Tgeb1/G+GK yhk19mjzTnxf5qRanPrlW+Hiysk1/9IXjeSauL2c/Hrqb661cirkVhgTqb95 zWryAcphlMsox0z+lzECxgr4vslPXrkd3X4VMYFG8iGYS3LuYvA+OVZyrdyT 1B/lPMh9kHMmH0s+obFo7sfuy5s0YqubI874XTkmck32KwU/kIMoF3FB5P1b 0XnUfQ4v5vdQJ1I3OrQYfUnOgdwDMW/5W3JG5Y4ORz60Hc6o3FExafdjOTVy a4wRE8/Qp65v/fNS8D51SHVJOTPqL+pM6k5H037DVjg6cnXk6MjP0x9i7kw5 E3InjKkwtkKOnvEc5u8036I2oPyLrRuxNfRB6J+XwyuXVw6ffBoxGLEYY0yM 59anoW/Dd9B4bDmIchHvKIUvaT4583nKd5C/rU9D38YLpfhLzZdpLgttPPln cnTk6sghko9jTIyxMcbE6L+TsyN3R51f/o0+S32XuxXjLziok9gnfcb6jo2h MZZGDpPxMvIf5bfpo9ZXbb4693JtXvkv+mD0xTxcir98sXZyZxxJmw20RdrZ 681v9hX1+zTCJdQlbby6nEO5h9oM8g3V29TfxOiM39MnpW/KNdR8pvqQ9CXp o9K/o86u7r5tIfqaPit9V3KIja9TXzUWcPwa1wzGKtaqD8D4l4Gd2MZiVtrT YqBiocYoGU+gzaPtIwYj31hMUmzSHJb6L9T/1V3urSYeQY6LXBdjxPTPyxPV FjSGQ/6DfGpt2yMbycepPeG34p7o3igfR271sEL0AW0cbZ1tCtEHLhFz7I3P QfxPHV5dfk7kfVrhXMi9kDMgHi4mLTYthm3+CTFpsWl9IvpPtAm0DeZF3q8V H5++visKiVfTBtAW0EbeqxWdXd190VL4tWLYYtmumcbzyaGVS6uNqv2lzant uUMh+uOBjWCRMxWSf1I+uLr1DDyTH5rRt/226/XEC4iZi53rg9BfoQ6tLi0G OrgVzrDc4dd9hq1whuUOv6FO6PU6iX2SEyM3Rh+9vno5lcYXyFmWu6wNoP2q jqKuskk5+Qq1KbQt9EvIb6jUE2dkvJG5PMSkxKbkXBsbpf9Y7q+ccbnjT2kP 12JTPUv9M8hL1GITa3+Yz0vbtFVIPL3+RnNhmHPF3Cu7NpN7xZwm5jYRMxE7 MQeg+UP0eZXrsZnFN4zv3qES/M/8COYTNJepOXjMxWM+Sp+NPmjzNTxI/ffl 2DzaPubPE9s154+5f7ZvJnePOXvM3SOGNx7LKydfz72tlP1mtb3MqWVuLWM+ zN9p/lh91+KB4oLmZ3PtNeecuefk38tV1obRljHforkgtKm0rcQjtEXEWMRa 1M+Mu9eHL17g/upers2r7Wt+MNcec4qZW0y+t1x0bShtKeMj1F20obSl5E/q G5GzKHfxnmbyIc/XxVflC2gbiVGIVcjBHs/FFpNrhR8oV1kdSV1pTCuxvNpg 2mLGd8itHMI3NWUz+RzNlSI/wHwa8svM33lQ1/88g/p9T2KuxQdnRP62JzFy vl/q6Orq5jgytkp93FxH5vwy99cAjvN7kkPSfEvq6OrqxmCZD2ks/U+phSMo H8f8JObmMEeaudKGt7L3mJPO3HTiveYSM0eWubLEA41PO6YaPqz2grmzjLER rzXe0PyJYnbmn9OfKldVH6q+VPPAmQ/OmD3z/zxP/7P8vcvJL2fMjrGfxuMb yyMfWS6E+L04vvnBzPVnTmdzO7c4zuhJTi7j1+doxv+lH0wuiRwSuSQDC+FT bNFKLjhz9Jmrb9p2fMNyCsVP/R7cS8ypY26dS5rJtTptF/81P4K+yuXLsR8H Osee5PTw+54O+f2exEQ9rX7Yju9SG2Z/54b8mbpuT/Blc/YaX2bOYvkk5s8z d6D67Hg+KPWX9wSTFZvdqpVccuYQNZeo/BRzLRnzVW2HoyJXxRzZ5l+6VTzJ d6Wc/HTmJJilEC7S153k5Fy5kGuI/xsTaBy/8fzGCurzOrqa/MT6wjZpRheV IyVX6oN2YsGv5f2utYJ3GztkTsBaO/kC5HrIgZHPZ44GczWI8Q5rJmfZrFx/ 9Wry/Rlz+Gsta5axiMbs/VlL/jpj+cx39kcp34x8TNdj/XBiUGJR7sH6EcXk 5uzOX9+d/rf9xGPb+Xb12ZzcTj4vddHxHNx24lmMAxDDEcsx/kDevZiH2If5 BeXu+A35LckHMue0PjJ9Ze5Z+jXFjNzLjHE155D5+xbtrtdyFcx/e1Mr/gdz WrrmuPY4vyFcaz2e5xTNxAMZe+4zPrgTfOiRejj/xu6IJ8lVFzP7qBU+k3Hf xkgZKyVHQ66GmMnUrfzmFzSCYY/PT9EJJ0XO5CvNxJTID5Mn9k7XR6mvUn1z 82bWMNcyYwKMHRDf0jcph/dkyie0o1sO6T5f462MhVd/G9nJGifXRk6ta58c bznN6tODm+EYyjU079MdteSbOrfLH1m/kxgDY+zUT4w9MH+JuXTN8WGuD/M5 6os5VZ5EJ/lXzDVozhBzh2zRLIzP9WlOE3Ob+Dz8FuTnLd8JZiF2sUU5+fHM h6htYo5Fcy0aTzeikByE5iKUQ3NENeud3JrlOsk1IkdvhU44mXIzVy137Z9O uFlytMynaH4LsQZ9svpmxczFzs3/Ideu2Qq3dNNy8v/7jfmtySnXv2V+I7lw vxTCVzanprljjPE1P586krrSyf2xv7XHLb9Dn2d998VrKC8sptdMvh1zvf9Q SLyV+Wz99sxpY26bz5rhRn1YDl9bnU3dzTHMX/VbM1yjFcrRF8WYxJq2Kic/ r5iO2M7W5eRb9jf1t5VjukEXr7unPz5jfcdiPmI/5gQT7zHfrbmuzRFsruA/ nG8hfcT35ODLxdc+WauZPcrYDX1Y7l3jc1Q0ks/iyHb26+0Kyalhrj5zdhhH aDyh9vnuzax95igzV9nL7eSvmLGL77keGvtkDnxz4e/ZTO4fc/SZq8889XKR 5UjLN9+b+mYxMQePtmOPm/vFnGXmLtNfJG9O/pyxWuIxjiEH+aVm1gTXBnMi q3/oP9d2NGekuSO16bXtjVkxn4z5/8wVaE5AcwNqg2mLXVpJPh/zieo7km5s /JTfh3VyYuXGygmWG7xSOfaFHGIbr1KOvSD/WNvenGjmRhOvMZfwytXkd/d5 P1cP5m+uEPnI2hrm9DS357fN5FZRBzV/nRiSWNKyhfDb1S+HFpIj0lyR2pPm IpJDIX5sPllzUZrD11y+4lPmYNBeP5HyNoxRKoazIHdBPry5J82BaC5E/dsv F5Oz0dyNO9K+r5gYknvbwetWrEcnVTc9qBU+kbyih2qJ/5T37Tfqt2rOAXMN 66PXVy9f09zFcjBWbSb/l9iSNoG2wVGt5Fcwz8KYWvAl88qYX6bYis29eyN8 d21xc0iaA8aY2hGd8J9768mX4/+20IepL1OMW7zcmC7/F8HYQtZrc76og8mp llstX1WernzdM9vBe82lpc963WZsVHn98vu1XeWna/v5P0T8XyLmgDIey9yl zl++ibGT+9B+jU5ynpv7/MtK+GHi63c0sqa7totvG+Mihi6WLp/QmDg5w3KH 5SeaE1LOutx11yuxIHPmmTtP/M84QOMBR7bj/5cnps6l7lVr5n+xmLPNeLL5 GeOdUviz8iXM4Sq+tlbXPz1PM/kLzGPg/iM+fHct/DVjjcTY/D8YrpFib+LN xjEZz2Ssqnw471VMX2zfb8CYPzFMvw1zdJvf2dx44rfXtJMr3xxeq3b3D/ei LzmGdhL/IHdAzqixJJuoM5aDEcnPMH+2sQO+48bnmDN4hkLamM9QfEOugO+0 /v+dWuGOGeNirIs5CWekfaec/HxyRrQdW+XYz8bjWhZzFXs1B7m5yJvl2Nvq 0wPK4dzLvZfDrG3vOfNfm8NX/svk5eTn3qyVa4mhGW9hfLC5AsWAxYLN2W3u bn0W4nPGB3stMVGxUTnP/naTlsO/2LmVsbUBtAXMoe/6Zg4A8ymbo0++qDHW 4rf+fxW5rvrY9V/v1ortIYfd2CH9n+5d6vTq9uLBK5bj09G34/shl1odX11f /6proTabtpvx1+712mzabn7f5vYd7/Nvx/9pbLI5k1wPxzWDva5Wjn/JeJxv i9kj5FPoP3fv12ep79L1x1x78tmMbdA/ZV99UvqmDmkFuzBnkfHj/g8dY8eM IdN/JH/FZ+c3MF8r9t4k5eifxlcZj+XeLsb0TyNrimuLPmB9wfJTtOVXqSb/ 9Y2t6LLmFDC3gPHdck+MCTY22P3O2Fk5InJF1OeNo/Xcta3YA4dXE5NjbI45 +/VX3FMOv0x/gnk7zd9pPJfx8PrKjcE3Ft//kXNpITlj5S+bP0DdwpwB5g7w ffuykByU5qJ0P3Bs/f/Gtsm3UDeR0yC3YXxO4UKeifnYzZk7GPmpcvLtiofI BdDG1tY23m7CcmJcjHUxRmGOQs4N7dprE5QT42Sskzn2Zi7knP//Qb6Jtpkx NcbWGN8vF8SYfmP7zR+gLmqOB3M9mPPc+EFjiMVX1TecmxwquVTyZeQKyPFW H3U/M5eHHKDXu/r2PtXEWxprqb1lng/bXN6KviP3Qc6j9p4xAisy3zHl5NMV j7IsZ0jukHwCdQNtWm1b/avaxvps9d3KJzNu1fjVwzrxSe7e5Yfpq5Sv5v9F 8X9O+L8n/H8Y5kL3f4j4v0TM1/dJITn3/utPPOD4/1WlPtIJX8wcH+r4R3di Q5o7XhtR21I+2i5d/p+xFb6z5m6XY+W7bD7I2fuypxsfZE5Oc3P6zev/ma6Z vnIcz+7qlwdUE59t7Kc5GtW3T60k/6Lrkbn0/J8E/m8C1/dTu/qUsY3ORW7X gO6YxksZJ2S80OGd5P8TC/edNZ5WjqJcRWN29Q+6fqvry6mSW+X/hxD79H90 +L86zF8gxmqMjPGOxqfsZSyMNl0n+cv93wbm/DP3nznEPyukjfEr8gPNJWoM +KGd8PuMIzfm0NhD9x+5gebMNXeu8XPmYTEfy96d5IyUxy1GIlZifhF5h/IP Z+kkv725do0ZPpf+A5u5ltiOXE35Y+apWstv1vutJjaI4cf/YyH9Zfp2zFlv vJjxa2Lf6uTq5ttQ/0l/fMj+/5ed1cf6E7Pp/4sxf6W5kc3JYb6UHTuJ7fu1 P/+v4uOu//yr/sQPvt/M/5rxf1rs2pVt65iO7T15b9/0J/+J+U1/ovwzxw6d 6AzqDvqc/+7qb7V6MELtDW0ubS85p/q37GNfc4aa31J+p/udY8p3NP+5/yvi uO73q89Q36H/10Z91HwszkUfo75G4yG9F/9n0bBO8ouaK3Rk9/01Xurj/jwz n53/n02upBi1WLU2tLa0MVbG12pza3vbx/gq90/XZv9HhP8rQn+9vnk59ft3 9yNzmfg/gPxfQOo043Wb/uTj/D+EAtSO "]], Polygon3DBox[CompressedData[" 1:eJwt1Htszlccx/FjtNWn68UiMVkWuizZHzNik/2hf7rUXCZqSDbskpCIxONW VcXaWjstRqkGDbGIMFuKyDrbSLYgoluWukaGIigp7UYQgvE6efbHJ8/5vs/n e/md8/s9+V8ki+a8FEIYRWm0JTeE+1khXM8MoSw9hEbxgrwQPhTnUQO2F5uL jRInqK5bCNuzQ6jGz8ptpUKsHHsrJ4R9GSF8/nIIY/BV8l6lMvEi6rDXV/yf 3GrrTxMhFPBdlbcfO6/Ocz0qaBHfOmyyGS7znMG+xDZi6/iuiLvwevE8fKw4 h7ba+8EsR9TMst9H37/VaOFbQQOtj+N/UqV4A03F2uM5UJ24S/4ZrLfcBPa1 +svoF/UnmbnWIZ6Pz8q7ie8ZT7m9GfJuUk3PEJrkpuHV8n7lyxSnyz3Afyg+ A56P/Uzb+B/IW4vlib+jKuwGthrbqk4v7C+5d7BWGuj+cvW8SyfF3/Bd4vtD nHQGtXrUmbFNz1vYbPUKeTbQFrXOxTvna5A7ACuwX48X8b8ubyTW6Y5KsTbe 8vj8au43Qw+e+7SDrwYfpu9kvvX8/bH+ao6Q00qL9dgozqeRcQ7qYfaL/Lt4 b9jPUOsrvEStTD1WMxSpuQArxjZhJfrew5LYwnim6nXGHLkX3Md7alXh/4i7 6H09burxCt9B+5OsP6I6njeo0vqZ/Iuee7r4iB6/6ZGQ+4j2qJfEC3nSaZYP ZijPcGymnHasUY1h4hnUgZ0V38NP6/nUeqec7WbeRmt4FlOV/d32KvgniB9a V1vv8bvSXik2QP5o67as1Pu/Njd1XvHcTuKnaDlfkxmnY9nm7c67V5zgXcM4 UbyEr0ititjHOiRS31inWpXxPRA3xncSOxpnpnesf8IO0gqekvhuyU0TX7F3 Ld6lPg3u+mN1RuhTy7dQ3+NarOf7HSuO3xrvJ/F9FF8yUz/sMk1xH0P5muwt lXuCr1ntJ3yl2Hjxuzmpe30ca2EfYGXx+7d+TW5u/CPDlmA12Pf/n2M8z7v4 Zutm6x+pnmcl9VHrW95B8X+GZxxWzLcz/j/ho7HPaLn1v4nUTC3iFrPkyX0T W6rtCfF8ueMyU99g/BYL+e6oU2Cd9Ds3fg88x7JT59sofxnvNHG7vSF8Herd ju9+fC46hB+mwWZ6W/wCRcHQ3Q== "]]}]}, {}, {}, {}, {}}, { {GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl099rzXEcx/H3trPtnG1YCik5iTQbbkWkcCH7EZMWUn6lzvyYlsKVK40U F5g7Jc0foJFJizlZzGhn82PGGBcKN6a4UHh87eKc9+v5/H4+n/fn+zmfs2Bv W/ORoogY9tlfGpHkk6mI48JYVUQ1Hlez6oS6XP2krlFbPfyRjmiQD8s/5Z3y wAxzyzyXJ9WKadaUq8sjKuUzcp1cJV+R6+Ub6i/zWuVbEf8bn5PzYu30iLvF EU3pqX328D24Ea/LRIxwT+R73P3KiDl6vuB6jevl+ri53Mtkb8a1VRjHz+Ne cZu891Guj8tyr5M9cXm82fhRfMkaDdwjbgv3hmvE/bgZr7ePMa5fz8fcQuu8 xU/xAM6bv4h7xw1xg9xiPI5HcLv+z7ka7j231dpDuBZ/wJ3mt3DD3FJugtuG C7gOZ51lgdvA3eZmcg/xSnwV55ztX7mbq1FPc9/VLjxbneWMD3If5U6uWG3G S7xbB17h92iRV3EPPDuR7AlncTfO6J/jRvUt465xO3C3u/TNXWrS/yJXz3Vx BW4j18Gt5i5zg9a4w5/ilnFnuZvcde63M5rPrbWPPfpe4CY5S0S7nudxxm/g NeIQTsumRk4ul13ZOCA7xvjqa19yL+Uv8m7ZkPgs70rmytvVUlKLSKkwStTS 5GzUVHJH1RLljwleOZ7hY0VT/6N/KPdqjA== "]]}, {Line3DBox[CompressedData[" 1:eJwV0Ekuw2EYx/HHsDG1jWCtZmrYoYOaegARMysLS72BG5DQkURsHUNcgwu4 gZlPF9/8hud53/+QPi1vn7dFxBleeiMuExFXqPZF7NBSV0SFL6KeihimNayi Iafpq3MXfBMZZ0Z0WT6HPN5QQV2fpCmM8glaQBEraOiWkhHLGGs9011P+mu5 ghs09bv6LD/eeg/+HZ/4wK1uj+bMy84+Y03+wg++cWdnn+btTPDr/C+O7P7R WdS7I/rlSfMNOewey210Tj7AgDxlvsm360/krZ6IefkQg/K0eYnvMF9EJxbk Ah0ynzG/xyNf1dXw0PrXNNP6Pv0/vlAvHQ== "]], Line3DBox[CompressedData[" 1:eJwVzLkyw2EUhvGjsM1YR2Op9AougMkijFZpl0hrmdFzB6IiEhGJLWIb7sMd oFG5Cr9/8cx73ud835nM7y3vdkREEd99Ean+iDr2hyIa+OLS+lJvxI/52txA y25KngxGlHCkl3HDrQxEnHGrspm8kef6of0F7rg1rsyty1u9JLv0jPkBG3q3 vinv9cfkr15BVp/mt9Cjb8sWl/ImjXlzQWaSGVn8oc1Xvb9EzvyEA76JnBu1 5D73jF9uFGMYTvao8i8YN09gBAs4RgWvdrNuzGHBvU75ydf4GT2PK64g37i2 3al5Mbmjf2BHr3tTlO/6P2CdNko= "]], Line3DBox[CompressedData[" 1:eJwV0MsqxGEYx/HH0mFm7GxYuAAbuQCHxYxhkEugnM2I7Ni4BJSUFMZpzJBy SgkRSXIBKFZuw8fi2+/5/p73//b2bx4qDOarImIYP3UR6UTEbH1EEd/8jJ+k IuZ4Ged8m2fkjlyridiSI8mIC92yrObzzm7gSjeqq9WNyUteNO/iw76bt+rH MYFrXtFnZU62yAa56S0l8w0aeRMW3LGIHt0dJn2f0a970y1f4d2815x0borv yWl5r1uVCZ4zP2LJ2XekdHm7B92++QB95mccmrPOlOQTP5JlfOr6+QvaeQfS 7qjIL7tT/Ss6edf//7P79c4BXZu5gGP9jHzT/QEU+Dno "]], Line3DBox[CompressedData[" 1:eJwVzskqhgEUxvFjSYYvJCvDNcjaBill+MzzHDZcgC03oMzDjiVlFlmQkmTM DRg+40X4Wfz7v+d5znvet3RwMjmRFhGjeM2MuM+KeMBZIuLFPMyP5hF+4hTX ohglmMuOaJRn5EQk+UI2L6syL/BUesSxvAlv7m3pTzyX6U75XTYm20CzeZxb uJ7rkNJP8yYSbrb+/xvakGtedKealziP2+WZ3MH5fO+9GXy4s2xnR9apO0fX //d1RfjUd5sv0YNn2a7dCnzp9rhB1qu7Qh8OZPv41q+4XeD50U6/7hoDKJSt 6n7srPGheVB+gyGsy351s97bxq2sXHbHR3YrUYM/ejY/BA== "]], Line3DBox[{1441, 991, 1205, 990, 3208, 2068, 1590, 3962, 1744, 3323, 1426, 3641, 4307, 1203, 3322, 987, 1202, 986, 1438, 984, 4256, 3556, 1739, 3321, 1424, 3640, 1201, 3320, 4277, 982, 1199, 981, 1435, 1434, 3555, 3447, 4263, 3319, 3446, 3554, 979, 1433, 977, 1194, 2907, 976, 1431, 1430, 3553, 4273, 4218, 3318, 4217, 4255, 3552, 975, 1429, 973, 2809, 2439}], Line3DBox[{106, 765, 2336, 107, 523, 2337, 108, 1595, 2338, 109, 1225}], Line3DBox[CompressedData[" 1:eJwV0McuhAEUhuGjDaLeAIlEuxUrZQZ7C2LDBUiUDZEQ92Ctl9H76OzE1kqv F6A9s3jzfe855/9n8td09bf15UREL4rLIo7LI9orIk7kF8/IC34kTysjisyS vF5PyU8+Is8xjEI+KOvsh+QHH9PTOOOH3pMw25cHeNevza9QoLfJWrePmMCb 2Z67avNdmc+3ZSvfka98K/vf+KbM49MlEZ38Rd8wW0eunpYt5mvyma/KKp5w n8OX+Qqe9BW/PYDIfpPs98CjPmq2jCV3f6URC7LZblE+2N/Yzetz+LVv5OOy QfagGz8845k7fQr3npt1P4Nvu0mzW3S4aTJL6Ulc8n9tHUTJ "]], Line3DBox[CompressedData[" 1:eJwVz7cyRVEYhuFf6Yx0Bxw0GjlfgtKMrNLoGDl1TqNUaF2GoVXJR87McAly Ds8u3vnSWrP2Tg8Mtw/lRMQgUvkR2cKIfbQVRIxgvSiiUl+s25A38SAv6VdR xXfQTnThUV5JRVTTEne2nN/Gsu1ZN8rX0Ccc2O/0i3iRx2zdulo+TXeS92y7 tBXjqLO9ojQv4siZQ7zJE7Yevj7Z6J6cxYc8SftzI975Y9spTvApT9l6+Qa+ LPl3+QDfcsbba2jkv3Bmv8A5fuRp5yrsTXx58i3ylryAP92M3Ex/cWm/wRVC P4s+vsV2Te/dmacZzOEWzbpWexP9B7mjQw0= "]], Line3DBox[{120, 544, 2593, 119, 2077, 739, 2010, 118, 2076, 540, 2591, 1774, 117, 2074, 539, 1239, 116, 1455, 2981, 537, 1769, 115, 2073, 535, 1236, 114, 2339, 1452, 533, 1763, 113, 531, 2589, 112, 1449, 529, 1759, 111, 2080, 3211, 110, 1447, 526, 2831, 2820}], Line3DBox[{3339, 1809, 3659, 845, 2935, 1265, 1036, 3660, 2398, 3585, 1810, 2211, 3259, 846, 2210, 2209, 4254, 4138, 3387, 3586, 1041, 2938, 1270, 847, 2212, 1811, 1814, 848, 1271, 2939, 1044, 1274, 849, 2213, 1817, 1821, 850, 2941, 1275, 1048, 3588, 851, 3587, 1823, 1825, 3112, 852, 1278, 1051, 3589, 3388, 3972, 1599, 3185, 2015, 853, 2214, 1827, 1830, 854, 3590, 4281, 1055, 1283, 855, 1282}], Line3DBox[CompressedData[" 1:eJwV0LkyRFEQh/EWMWM22wMI7BKBCI8gEUkUpkpKihljH2vqPcQSikxoq5LY 9/0R/G7w1df/7j63zrmtxZmR6ZqImEImG3GTj6jNRQyjhMN0xACPFSLquIf3 cIBRpPTOMOtsm7NH9styGrdy2c4D7tQLeuPqCtfjHO36+6mIQfWQb2T4Aqf2 5uRO80W5g5c4i75MxL08b/7Iy3oPvMI5XKJLLpl386p87F55fk3upP/Ga/Iz r3MBT+qX5J7mjfKJM1VuwBUq+r3mG8l/4E1uwrv6A/32f3hL74u3uRmf6u/k Hc4XvWsCk1jXu+Zq8jazP96x/8u73IJ/+io5jg== "]], Line3DBox[{1867, 621, 2688, 744, 622, 2629, 623, 328, 2630, 624}], Line3DBox[{1554, 1124, 1338, 1123, 3006, 1552, 1534, 1927, 1122, 1550, 1121, 1334, 2959, 1120, 1548, 1119, 3614, 3473, 3345, 1615, 3151, 1923, 1118, 1547, 1529, 1919, 1116, 1546, 3005, 1545, 2019, 1324, 2120, 1613, 3976, 1612, 3222, 2118, 1115, 1913, 1912, 3344, 1610, 1907, 3146, 1113, 1542, 1541, 1904, 3144, 1111, 1540, 1539, 4257, 3665, 1538, 2117, 1341}], Line3DBox[CompressedData[" 1:eJwNzscyw2EYhfEvOlEyeo/oLLUrMGNjFXdgpyVKtEuQkBmuhztgb9iJ3rut 3+KZ857zfP9JEvPpZCoSQlhAvCaE39oQNupC+JMj+EF1LITZaAjd/Bo3pa/L Ye4bUf1LdvFp+6S+KodsOfcJqvCpd3qzwk3oKTlo+0Cl/i47+Lz9Qs8j6z7A Ptq5V2/O7G9yAEe2Nlz6f+P2nHf99hdU6M+ylX+Uy9yT7MMDyvkZ37Xwi9yY viR7uXuU6Xeymd+x7yKhZ+3HuHU3cVv2bczp5/ZNdwaN3I1t2m8k5TUKaLBf yVNv99DjLpUlqOcOZQHFiHNFMoJR9z+umDXi "]], Line3DBox[{645, 1894, 338, 1892, 2641, 643, 1891, 337, 2639, 641, 336, 2954, 1316, 639, 1887, 335, 1886, 637, 1313, 2953, 334, 636, 2637, 333, 1882, 634, 2636, 1881, 332, 1878, 632, 1309, 331, 2635, 630, 330, 1307, 628, 604, 2632, 626, 1304, 329, 2484, 329}], Line3DBox[CompressedData[" 1:eJwVz0kuRGEUxfHPUKIdiGgmxR5YgqBI1AIMRPtQpWfKRvT9pJhpSz+X6Juy ANEz96vBP+fec859+V6sI5VI5oUQIrQWh7BZFMJ4YQjPGMMpb4N3URLCX0EI 6+aEeVT2hBGc6Kzxf+VH5mMM8x+R1Z1CGzL8H50GeogHeb27e1pu/5at2id1 L1HGG5Id0BV+C12m1TTFv0MSVfYl/pf7bXd79n0Mym4xgE9ZTNZvvkGEXZ1F d+f8D/mCuZLXJyulvbSCzvPjtBk76OFfYyY/hHd3V+Y6nYzvTOONt6U3YX5F HN06czpN/Fl6xuvipe2dtJHW8tKoQTtecm+n2dx/5t6OCP8NEkQs "]], Line3DBox[CompressedData[" 1:eJwVz7kyg2EYhuFXiUmisiv0SIKMyimk0JmxRmwNR6CwC7GcjmGcgAOIfem0 9n25FPfc3/N87zvf/7cX5gfmqiKiiNlUxCh+sZeIeOFd/uHbZESlLmLGeQTf 2HH3zNuc4xsz03zNvVzWNzkfVUdccUq+5C3Out/kHr7QTfEwvpCviUh4q1H/ KWeQlUv8gZK9dd7gJPpqZU7r1vjc3qTzEFblJ17hd86ZLfIE3tBgth/1OPBG l66AM7mbl+098qF/eOCEfOpuiTvlYzsLONGNy2PYN3vPi2Yq+oz7NO7QJndw K3f+v4eyb2qR82jGoO7V/h+TdDqM "]], Line3DBox[{4096, 2239, 3663, 1339, 3001, 1537, 1340, 3664, 2962}], Line3DBox[{4205, 2295, 2296, 2064, 3206, 2065, 972, 1191}]}, { Line3DBox[CompressedData[" 1:eJwVzb8rxHEcx/G3LLgbriwW6gYLg0VhMLkbLIZThhskYSD8ARaDsl6SUix3 BlfyKz9KFKUY0BnMNmG8zeB4fIdnrx/v1+f7zU4vF5aaImIGjZaI+daIGvLY ykT86Rb5UaTwhW8cuI3RDFbTEW+o8x/6Mr/TFlGhu7RdX6e/KVv+3qZBK7pm mz3aIf/Qos06n+b3MSlXaafu3buMfRUleUV/iDmbI5rVnbidYps/pme4wDku ve/WdyUeZb43+QftSfa+MyAP4sr22uYGfW4lmtPnccvfoV+/SQu6T/txmpPz GHLb8L0p3Rqe8ah/ocNuT/Yj7hO6B3lBX8Os/Jr8w+0fMUY8AQ== "]], Line3DBox[CompressedData[" 1:eJwV0L8rxHEcx/H3jbjBoDgDkSwMFuUok04ZD53VKYsiG7YbFP6BOze45EeR SYi7kh+L0Y8yKpsyGpjwuOHZ8/V+vd/16fvtyi9lFxMRMYdoiFhABsXmiAS/ 460pYoKPdEneNi/zNxcbI364xGX+4Eles793/8U7umldhVvMv/J+MuLTvmD+ w4HdIVJyRb/Bx25y3IFN+RWtbh65DSl0223xE8pyic/cXPI59+ravddp3pNX 5Kq+Zq5xn65Ht4oTOa27QcF8ywO6frfXOK3/G92QPIw0BnUXbkfkK3nKPiOP 12/MVbtd3zOrzyOnn8Go3ZjdA6/rnzGvf+E7/T9pPjeN "]], Line3DBox[CompressedData[" 1:eJwVzTksRAEUheFraGwxpdCQ6GwJHaZGO4lohYQpMLZGqAkJiamIoaJiJEJF YWlVlgINmU60Qut7xZ//nnPe0jqez85WRMQkUtURj3jCbjpiqSbi2f1RG/HC e7pPdznpbAuclRe5mGy6b/cXr/APVrEs39h/3eH+4xSf6zbcJ3URm1ziU9Tb KpN/2sd4x9aoK/CUXIUmuYFz2NfPcZHn+cB7aW7zTDO3+OaRrUM+5kP7lW4b b3hHSd9nP+OyvVPXjn5dF3fjwjYoX/K9nMGw3OMf63hIvmsb0V3zlq4Xo/IA D3n+Vj8h33FGV0hufvXutHsNM8h5dgp59z8Z5Doe "]], Line3DBox[CompressedData[" 1:eJwVzr0vg3EUxfHbVAcvCauEoZF2E/8AaiF0NEjKIITYWhEisUgYa2MhYWQr SSdJLcTATptYiMnAIDGoxecZTr7nnHvv8/yyy5XZcioi1ijdGfFExz0Rz3iC H30RTf6tO6KM31hJZvpWV8R7MsNNbJu96Lf4X35b/8nXdD/4lfS0Rymzfcz4 Rwel5TYtuKvqF/EAl/BP30t138nINfuHZv26I6zLVWpSi051Q2ZneC1n6dVt TjfgfoPOzYblC9yRB2lEzmHe/mXyTv4K87ibvBfHcJrGE9kbpSJfwAlq2J+T b/BenqFSsuu2yN/qV+Q7LMkF/arc8L5Jfl73YFbWPeKUbp3/B5OROow= "]], Line3DBox[{2308, 2520, 3189, 2142, 4158, 2143, 912, 1156, 3846, 914, 1159, 927, 2540, 4269, 2422, 3237, 2289, 4261, 2552, 1690, 1691, 958, 3865, 1193, 960, 1196, 979, 2574, 2445, 2577, 4276, 2453, 2587, 1758, 1759, 1018, 1250, 1020, 4296, 2684, 1252, 2606, 1811, 2609, 1815, 2620, 4298, 1062, 1290, 1075, 1307, 1077, 2689, 1308, 4283, 2648, 1905, 2651, 1912, 3016, 1611, 1944, 4102, 1130, 1353, 1131, 1355}], Line3DBox[CompressedData[" 1:eJwVz7svg2EUB+Aj0VYxlNmtCBKGus1srpOBxGVpQmIhFgN2JpPYEAuJzWQk ERL/gNtIGVymdhIST4cnv/Oec94335fNr06tVETEIol0xEtNxCvb1RFv8ioT UZDvPOk9U7BXcj4zK8r18q7eRm3EIQcc8aH/yYm9H/Nv9bT9Lzkji/LGrCQr SbmTJKHetX9qllH/8UvenSTHpGjQS8tlqmh0rpP1dKjbvNVKO03l76WZnFlW btLCFp2c08WQea87l+QYdu6T/Uyoe+x0s8MAFwwyazZp57a8x73eA/vqR7lk Pq++Y44FRvSvGWXNfLz8P/pjco9/Xkg1iQ== "]], Line3DBox[{8, 753, 3647, 23, 410, 3497, 38, 1587, 3964, 53, 1411, 3910, 454, 1179, 68, 3312, 2054, 83, 1435, 504, 1211, 98, 3330, 530, 113, 1464, 556, 1253, 3874, 128, 1482, 581, 2213, 143, 1498, 607, 3598, 1293, 158, 1511, 632, 2229, 173, 1528, 3941, 657, 1915, 188, 2120, 682, 2244, 203, 3352, 709, 218}], Line3DBox[{1638, 391, 3629, 726, 392, 3502, 415, 246, 3527, 437, 3528, 256, 1371, 735, 3639, 462, 488, 1202, 278, 513, 3565, 289, 1240, 539, 1773, 302, 1797, 3581, 565, 1798, 313, 3589, 589, 325, 3884, 1300, 616, 1857, 335, 1889, 640, 1317, 3889, 345, 665, 3614, 355, 1962, 689, 3622, 1963, 368, 2002, 717}], Line3DBox[CompressedData[" 1:eJwVzr8vg2EUxfHHRF8dhIaFiM3EosImMVoam6FVpg5UNCQqwYKBhLESBjb8 ATVhIhG/EkZlMZgktVh08HmHk+8599z75OmbXZgsNoUQCtScCOG7NYQ33I1C qGFGXubvkyG8y2X8wMO2EI74L/5Tv4INuzXzMv/H17GuW8cX8ymzDf7HrIFR /Jb5Fn/Kb2PFzq9+lbL8q76F76BETHvtlOKrushOSq647cED7MZefafuWF7C E+zCOzf9ujP5ST7HRfvP/Fr8VyzJQ3wa0zgcZxrnB/SbVHW3gxc4iBndCF7J Wf4a9+RRysljuE835tPeusU85qigv/SvCf2M/KCbx0cs4hyV7PwDUnw6pw== "]], Line3DBox[{2312, 1645, 2700, 1153, 3894, 1369, 1154, 2702, 4302, 1155, 2260, 2008, 2703, 4317, 1683, 1684, 953, 4023, 1701, 1700, 1702, 968, 4034, 1725, 1589, 3014, 1744, 2187, 989, 1752, 4041, 1593, 3019, 1594, 2010, 1243, 1800, 1799, 4060, 1804, 1053, 1828, 1827, 1829, 1071, 1860, 4077, 1858, 3025, 2488, 2639, 1089, 1318, 1108, 3893, 1331, 1109, 1335, 1122, 1965, 1964, 1972, 4107, 1140, 1360, 1141, 1363}], Line3DBox[CompressedData[" 1:eJwV0LkuhFEYBuAzutlEM5bOEAUVDQmV0Y5l5gYkQyOZGImbUCLBHYhkCi2N CpPISMQSUdgSW2UpLKXnFE/ec77lJP+fr9TKi4kQQpVkMoTPdAhf3Dt/yJ22 EN7lg/u3/OHN+S4VQl3vVpbUnuQzq7zyQjMTQo0lds2uqSWcAy38uh+r/8kU GbUt0mRJeHclzsqcfnt8hxwdcU69YX9bZug20yqrZMm7d8ZvoIt+91PZZ/fR XjPuU/c9w3q9zvvqPXLAzLm84IwrbvQu5YjeoFyXQ7Jkt+B8yDgTjKrvcW1n TM7G/6TeYIZynFU/oMCC/pzaCRXmKaofMcmy/rTcYIpN/gGhFDrV "]], Line3DBox[CompressedData[" 1:eJwVzjsvg2EYBuDHRiuIgcWAWBgsFoNJDBaJOCUiEmloRFCD0+TQahcE6Y6I aAwSiclCDAaDdqsf4Bf4AU1cHa7cz/Pe79uvPanM1GZDRKQZbYpY5T0ZsZaI mG2OmOG3LWLEeZpt+zQ5/ZV7r1wyrFumovvSZTlzXrSfyiFdirL9U3dEwfmF PS8HdUt82991B/U7zs/th7Jft8he/Zu6AXbNj+zQp/vwPxdkxv6i72XTXGKD bt08K+YnXQc35luuqXrfpZ+j1XdbSLqTlwVO6NRNUzI/UDNn5bO3OXlMu7NJ 9r19c/5X/z0muLdvyQTj3NnXZa0xYkwWvanIH1mlbP4HDvI3ng== "]], Line3DBox[CompressedData[" 1:eJwVz7srhWEcB/CfRY5LuS4GkuFEFgYGw0kGAyUySKfESWLgL7DbWWQ5DqVc SsdlcSyUYmE/Z3YbnD9A4fMOn57v8/097/O+b8/y5uxGTUTkGE9FrPHcEPFE hTIZ3So78ku9TEm+45ZRs5XkOX2WEd1wQpfjoTHiUT/Fpf6KIoNmS9zrx+jX 9TGgW2RLLumHOJPPOSVtluVGn6Zd10avboF1+ULfxaF8RIFus3lO9K38cd0c 8Wvt1M8l9zp3bF9LyncXzeusHWYz5PU/1ld9Vf6mxX6aPblqPXA+T5M8yZez +/ZvcsWZcnK/PJH8u9mu/Taf3v3BO//wgDfK "]], Line3DBox[{1571, 902, 1358, 1137, 4301, 2368, 893, 1957, 1529, 2114, 882, 1917, 4090, 1609, 2359, 2276, 2637, 1082, 1501, 862, 4069, 1850, 1499, 2349, 851, 2611, 1047, 1467, 3930, 840, 1789, 1454, 2073, 829, 1235, 1004, 3921, 1437, 820, 1738, 1424, 2061, 811, 1200, 3868, 963, 2326, 2386, 3198, 4325, 2048, 2049, 793, 4006, 1676, 1675, 2318, 2380, 4259, 2701, 920, 1386, 3899, 779, 2697, 1634, 3050}], Line3DBox[CompressedData[" 1:eJwV0L0rxWEYxvHbJC8Dg8WZTI7B4j9gd5QoMxZOMShHcbIokZLhSF7yUkoR HXVyFhanKErehqMsUgZWM5/fcPW97ut67t/v6WkbnuyfqImIMao0RLzWR2Qb I15wHO/qIt7lb00R3fxz0tETVeUVWR//xhfw3l4m2cNezOAUlvRreGve4G9w CUv2O7ELK7Jr6qGiucP5M90KXsnSeInteKQ/1aWx7G5l+UXyL9muLIstdEjn 8pSdIrbiur4Zd3Rfdhf5E92o+RhHcNWZPV3wKX6QanUL+Cgfkv+at/EA9+kv eT9d3pktft53t+Sb9CAfkOV0H+a8bo4+5bM4nbyhLoczyR2dKdAyVeU/dr/p H147QqM= "]]}, {}, {}}}, VertexNormals->CompressedData[" 1:eJxEfHdYDe77v6wio5ARIkVW9irjxtuIyKjMUiHKKiOSQkZWEqKU0KCMBhqE nvYu7T3O7pxTp4NEUvr1u67Pq+/3n+c651xvn577ft2vcT/X9dXca7fVumeP Hj0aVHr06NV1+qXfCzXSeBKPU9ra2fV/clr00097l5Nf/AixjY/zvEpWFL7+ Y/5sGbmMn/OyzvZhvOvhbE8VSyG7tGn5yu359ZT6dvpmo5a78b1VlypejJQw 1TOpp64M49PxvMz/Fmy+HT9t2fk59382sHdLShwUJ9aRrV36cMGV6/Fs7oqF QfoyJm9/vVtpYCV92h7f50DrlXjvzpiNHp0y1vPWapeMtaU0ZuSqUMPVl+L/ tK+lYeebmEzZepSrbRHtVQmrPjflYvy4t//FPy1qYhHlJ2W/pxVQ7QcTw0/N zvFhztWFjYPlrOLX/COpSXm0aOKRdoe5TvHZv3pfky6WswsvzM5fLM2mTc+G NNZJz8S7tJev+mYmZ0/TlH7tt82km2VuEXv/OcTPOLDjmclpObN51H+21p50 +iNlR7R2nYova9IyWXlTzk7d/pAZ+DSVXu3pM9RNfiJexbviqK6vnO0dZay4 RyOFUEfUFfXsGRjQ56+wjOHUq4xM8ZreQOGbrvZfcaiIXSgJObj8EJ9p7jt6 Xv1yPb16f+bBCJbHHhvPCN88uJ65r/Q50yNfQHflexwKzmawyOT9K/LPitn7 dx9rN0XwaSbv5oDbx5KZ0Z1X/WauF7Oblk/76K4U0Ksrocqu/31h3tsFD57+ ELLZsnz+tU4RlWy51bT3YCSbyQ280hBVzcysxu2vdGukD+tspg05fo+mfQwf o3o8iSLa/w2e9VJOPSbkzTT/+J5uv6+5eW2WiK589n7+uVFECoXDfPUCYuhu qJOp27pGspkbMV1iVUOLF91YrPAnmjw4g4UWC5ro++rIY0rmxTTKd37PW0FR VDJzXohRSxOZNCS0/InKo/K3s/5t/+89zRWvG3l0o5x2S4eMGZ2WQbw1Ec6L Ot7S8cIk+fhzcrowwWmc8vhUAi6BU+ATdURdUc+N53b1f86tYTgjPB9O+U9J TK7F17bOeVnAgpw+zM52qWQtT4Y9MUtqII1VFTNL7geSdY2MW3z/HSVG607+ J5DTR9Pha8pHF1CRcWtD7l4h/TGKn5i9QERrfp/WHrO5kEawof5THBvoiOsr o+FURS9uhuwP+JRPpSMiE3YayEixbec86xdFFDQvXPnmr1yqMpu26cYvGW3a VnVLGp9P/w7V7tqTmUXNTY+tbkxooiMeZvMcq/LpZVXVOteP6eT80KiEEyKj Bt11JtOkxaTWNrIoxyeJVPMTf4y8J6G/kev6L3zNIzv3x5EBy2OZgYt7lqM9 l90YWv1O542UbFaOktfbJTFvNc7g8hYZO9Syf02KazG1FwwempqUyOSjOArl w+Rsu5pL6+FPGYQ5x9xj3oFL4BT4RB1RV9Tz6vh7veZmFnafM/KCNxWPkZFa z1Ed2Rc4lGvQ/3pcp5DOe9jUXjbnUAxnV1h1XC3NLLv0JtZPQv89Lzl5pKOU zie/XDMwp5IU33z6OyBHSl9+1MnmO5fSzAjjlWeMS2jOtxuTLbliuv5k89J+ qlyK+urXmPU7icWdZLf3ra9g9tfv7n7bU0Z2YQcHWA8rYk8VxDreTxrZNcWW 2SE7Skhn7bypc34VsG2d+edC5TK2ysw4ReSYTZGS919CzuWzlnyupdKiJrbr xs/TSXOyqIeGbJzxw1y2Wb04aOtDGZMFc9+1WxbR2maX80mGFjTtrPen980X 6aLjI5OoLr71+OdSwa3NJJu2jKC3M5poXYmPc19OPoE3waPgT8w55h7zDlwC p8An6oi6op52uasGz1MWdp/9+//X6He1jPS26QW9u8Ql7qLXehZ8IUWp73h4 q66WzBSme4t/ZTKDhTrbZpwtYnqWm10fZchIUjvg29JetezW3dKepSul7MEw u9EXhcXUxuwy1idUsUetSzzWJzSwQS9nBWibfKW6gKij27XL2d0CzTG8yQ1M tWKW/ffYMrJZtl88+EE+ZZ83DjeOE1D0pubScTIR+ee/13ffVkITHh+81GO7 jLYuu+Y5bVQOfeRfzs2UFNHLKQmW4bUyGvnn1LqaqjSayukxcie3gB5mBp6Y NUhG/rY1K7a0F9GKzav6763OY9es1RxLejSwzXvexX8NqyXoEHQJegTeBI+C PzHnmHvMO3AJnAKfqCPqinrezn3WHjiYw3DeTHv77PBNEf3RXZeUFcJnMrvb DpMe1jPLcLPHL/oV0uLwqNanF7mssMWwtu6imBUq28z+E1JCDuG2P0b1KqXI V6mvhz3mUkP1rC1pO8QkrUy1HmZQSzzfhM7a5Q00MD1rbXZ5DlEPyYJ/KVU0 ZcRWpX8pDXRh8ObK/T2+kruOct7Ep6ns9Y4th15mlLHf7oJFFgu6dL9swPKf U8tZof7IYTt6yNieVPX7pzZkULFnEDvoXcpC3db1O7pHxra3Xj0xziCdNPq8 /lTfK5p5OKxOrzmcyyKoczEpyQm6Dp2HvkOHoEvQI/AmeBT8iTnH3GPegUvg FPhEHVFX1HN5h8mk/64LGM7RA8VWR4WV9Lg9IPzwND4FPXOUbTUX0RuvK2PH 9KygXroXnO7G8KhpFP/ukWYxVW4Va60KzqEJjoo1K2MK6Ed5+pz9dytp6pnN 5j6fGqh9yKHwCSM57FRgn12CQin7bBzmObQ1ixZuNJkzK7+GbT9zQHm6SQNL 3mpuaPw8l/LErU+eNleQ5clIp6fNEkpe9Wu5uKOSmk1mPp11sZKWZnuU3ohu pIFBRvuyw5Pp9Mi+AdPWlpHlsFxr88kNlJFZqHT8fjnBJ8E3wS9B16Hz0Hfo EHQJegTeBI+CPzHnmHvMO3DZjdP/4RN1RF1RT19n1ZXXfwq7zwvLBkSm/s6j Wz66OUfqOKzokcEWZwM+i/136rp1139nq3FqUPAaPlt0Z+nnGxlipuqcOL8+ LoNs7Ao9x8Z8YWr+ic7fFqUyi7ufX57dJqftHZvWskYO9Y3aNM/XR0oqxkM1 Fv1NpXCXhDVHttfQENf8aLNJErr7McV45+1KijxdPihFUMPORMqfayU1sEXn 9v4UNqWS4dpjj7OlVWxV4h+nbGkD26n+aus1vRyC74QPhf+ET4Jvgl+CrkPn oe/QIegS9Ai8CR4Ff2LOMfeYd+ASOAU+UUfUFfXs7DymeVZHxHBanIqpu9Q/ i9b+UOwYy+HRS/2YWM0lQoq/Wcp5e6KmS5/yZROD+bSn7589M2+L6e/sHXf8 8tPpyQbPre99uMwkNeLyr9li1qvR/NWymFIy1zHVWOzMZbLBU/126EvZ5BVa aZb90+j4pMEBDqO7+tLgp/J0upQMkiXv+xcXkNft0JsRpnU070/4xT+HGmhO ycwznlEpBB8PXw8/D98JHwr/CZ8E3wS/BF2HzkPfoUPQJegReBM8Cv7EnGPu Me/AJXAKfKKOqCvqSSWRI3dpirpPj82bnyhFZNHJ00Pvnq4XsMA/c36o6tez JQ8njn53P5vaht27WjGTz2ZI3KZYnKxnMY13hj54UEw+h24vT2vjka/a46fm RhL6aOk5nLctmdwq2udOv3+X1ScE98rb+4gp7QxxWNMup5x/31pWa3PZrbxH tXNfSdmN+FeTqi4mEnIRchLyEXw8fD38PHwnfCj8J3wSfBP8EnQdOg99hw5B l6BH4E3wKPgTc465x7wDl8Ap8Ik6oq6o516ZS5L4GZ/h3DBvxT15aR1t0rti 1MNASC19Ho3Ltamnii+qrnf1k0nx3anv5hw+Kxi81qh/ZVf+6r3b3qqjK6dY 3VNcUcBjMYLWUcdOi1m038LoRnE+LRr/YFL5cR51dNr98iqUUNWF/m/snRMI ORO5E3kTuQg5CfkIPh6+Hn4evhM+FP4TPgm+CX4Jug6dh75Dh6BL0CPwJngU /Ik5x9xj3oFL4BT4RB1RV9RT7e6zKR5zRAxnR2zfqJ0lGfSC533ho6yKbRb+ HPL+TC3Tdti9MuCYmIwyZL5FdgK6Id5moqojpqnbFBUCdJNp5a+AyEXefOY+ pM/GnnIxe71v+E/PBYmE3I4cj/yOnIncibyJXISchHwEHw9fDz8P3wkfCv8J nwTfBL8EXYfOQ9+hQ9Al6BF4EzwK/sScY+4x78AlcAp8oo6oK+oZZf9jXIyB qPvcr1Zm1W9hGkW4+y9uuC5kldFfJpuY1DNeP5dXazoY9U4TrK+8IyDD1w+2 TunomotHt0snG6YQ9iDYi2AfgtyOHI/8jpyJ3Im8iVyEnIR8BB8PXw8/D98J Hwr/CZ8E3wS/BF2HzkPfoUPQJegReBM8Cv7EnGPuMe/AJXAKfKKOqCvqaTPW tGOUraj7dJCpeBaHJVKExcQf4QuFrNXZbotrhYitzs5Z9TI5h7BXwp4J+yXs QbAXwT4EuR05HvkdORO5E3kTuQg5CfkIPh6+Hn4evhM+FP4TPgm+CX4Jug6d h75Dh6BL0CPwJngU/Ik5x9xj3oFL4BT4RB1RV9RT6bVHzGguv/tMFaXw8+7W 0iWnQk/fHdkM59hxMZqTXJto4xO1fkqUznq8zLu4yo7LRKt/DN4yR0rLD401 /xaYxEIaBvV6ZVjPDvYYFbTCXkiHzl++ZZDpz24fCulXqClhyd+Hb7LM5BP+ e/x7+HcU84fsPXO0huFMS2kyuLZJTIMuOswddCGB/ZsT7uUVX84eK5X3+7pI Rp7nd0zt5RxOI3jTw998zyZrry8BrtPktO/Vv7NT36bSlY4/erIL9ZSQsecL KQlp47WShE8VaZSWcfrtFM9Gcns2Kkz5QiXZOaUomP2X2uVP+ssOj2uia3tX 3ObmFFLbSb3wC8s+0WJ9g5NGL5po/TSzuEfDCwj3xL1xX8687wf65BcxnFEa c0bOTW0k4eR133e9yaQd7mWNz1sLyDSO55Wj1ET+kyw8XiZUkGrOQU1r3Xoq 0Fg6K1rKpT1vgmZ/eFpOaldD+o4Y3kAvgkIHyz3KKMV5ou0g9SK6++zaWLWQ RipuqRFmTCyhqn2aD5W7coN7ZNyd9i1SMulxa32iI4cSOfJdCdffM/vQvlYx HoXs4E3f2lHXmkhXJzjkYWw2qy1Y6GeuLmPuK26O0IstpSnzp/7xfpDFarQs tY/da2JPQweFTeBnkVDyJtNfksYW2m7d5dXUxE5UiOImn07vvg/uh3u5DWcF 7b787vP17tSlQ37W0Z3BTVqD59WRUsz8OpMrYkoSBuR9za6kcofFL9Ja0qln x+G/z6mUVJe4lNkfkNHEzR4lM1aUs0z1Kw1v2yXs6mK582vrasqqlF968rSM 9R0zxuhGRCNTDf3RXGj9lXbc2eeofbmE1W3pXN82W8aGjZ99Wb0hl7x6/r7f aFnIHl+quLr3btdc1pjOl3flZrf39lzbllwqufc2u85PTInEc8hV4lPHmM+C c/x8ClHSP+g6uYl+mF/PPWeQRcAf8Agcon/oZ3cfU7+uU3bid59inW81Zes4 VJA/On2lbSV7oPkshKvFYSp1Mx5fXi2mSdMG/l1whMvCKzbPvj5VwiqW5GQl viqkLamLRGN865im/L5PkqmUVT2YsnROWwHdM1ZQOjkvn/V4oHalxa+WZR3d xykUS2lxyqKPQbqVtK3yZ2xzQAPd9hsURdxCEl7JDe09vpT8Bm/ut3t1I1WH cKtOLikmlRVNtlc3FjG6pDxA76uUFb2UHAoeX0PnvrVGX/9dxDr1r6RtaJax ublPGjJEKd3zhvnD3AGvwC9wi36j/+g77o96oA7tfuUbij4IGc6l9kFDrRoL SK94wWntdh7rG3ezJddOxBYlzh8fuamCNhinTnj7mEMBo2P7jA8R0Zsaw6Hf X9SSQO2ci/GaGqpJWbncwqCLR/nBVmM1KkkwKEf/wOZqNjagRkXWt4E1DPyi 82JDEVWu97GqsCxlGbW3xw86JmELHlovi0usI31+qO3hwC5+7/PuyWUFGWUE hIt8F2d18wv4BjwDHAPXwDP6ij6jv7gP7od7pcwIKJ+iKOw+P5a+dD3e9XcE r0//vtxcQKpKrvXru/73HyxbLfizLI/OfuGsPlxXzKYNHrPQ3bCK6brtcNLt lFJjeeaohZ+5LDRWV/KuQcJWTxYZbbuaQX2uf+z11q6WBUeH/1z3QMzk3MHj /Y9W0bFxkTO35NUSr+ei/bu78l+bbsOcZs8s2vlc/ZTRz2r6s0zqt7CsgU5e 9jAfOCyTyvaVjn1aX8Gav0z4Hi6Ssqlnxj5UUizr5lnwLvgW/AU+A49hzjH3 mHfgHnMA/KPf6D/6jrqgTqhP59ai4xcH8RnOP8sVRsqXc0nRzf3WsXgB494J XOlyqZ4ZZN9+5umXSflD5t3/9buGzsv4MnGXz5Qyg+LpLQLy9hyQc3QrjyJq 6l48eiGhz/7cafeU0khb/f6GhY4FLFjWmmadWcnip72v+RXbQK5fdo+tdYph AXOij1gtTmGK43ata3WUd+sN9Ae6Ax4Hr4PPwXfgP/Ae5h98AB4ADoAL4AH3 xL1x37LDV7718xR0n3pnp4z7HF1JU//U9pwmEtDLW0WnH+2uJ2MVzsrCr5k0 KOAFx+8in+2WXRq9fYSYGdrc99xc8JVOTnE80HKVx9rk51d4D5Yw536Lb10f mkv/HgijHsdySf3fSNfeg6Q0/0nC2lVmaWQyat+hFn0OVf6XunhguoT8g73G K/sVEXQLOgb9Ar+D78Hz4DvwH3gP8w8+AA9gHjAfmAv0G/1H33F/1AN1mGye MYc/QcRwNpmtXqjjlkWrl54QGW7gs9/LpnGMTYSsmpfz6bNyNdWc3PBv3Dcu uzNzscJq33pW0LbfzWpkOVVY3CpPnsBjPV3yOx6nSljfp1sXLVmSRtBp6Db0 GnoGfYOugdfAc+A3zDnmHvMOHAPXwDP6ij6jv7gP7od7TT7yWXTGXNR93gkT rmk5lkwDy0T1o8YL2Z5/g25P1qpnW47tMjXtn0Utzs7Zyw14bIx0Q3FcspB9 Dd4wS25dQ8/qTj8SnOGT5NiRz9WKEmpac/qg1oxEgi+BT4E/gX5Dz6Hj0Dno HvQOvAaeA79hbjHHmF/gGLgGnnEf3A/3uhgTvIJuFzGci7WL9RSqG2nxpQ3P dM2FtPnOrrVJi+rpXFLwuHvrU4nza7dFwwMBuxTqYHJ0qpit0PXoVzQuodt/ wI/Ah0CnodvQa+gWdAz6Bb4Gf4O3MYeYS8wjcAmcAp/oE/qGfuE+uB/u5e6q Ol7hpIjh9DcuspmglEDazZNUp1wV0heD/JeCpfX0+peyNs1NIuQE5AbkBfhv +HH4cPhR+FP4UvgV+Bf4Fuh3t57/T8ehW9Ax6Bf4GvwN3gZPgbfAV5hbzDHm FzgGroFn9Bv9R99RF9QJ9fkgGz0sQ1PEcF6LvLjgaVAWjY6sObVwn3/8lC+H FsX0zWEHdO0eLdKT0wGvNUeu381k1b+MmNvdCiaYIZEfCOjyff/7jN/xPf57 /Hv4dy7P+OUaU5HCPjkvc4iqELBTY/pIdkXXk01leX+rQfHsVKx6y90NUjbt 0F1ZbSmXxA/Oqf3r0qGNn7nrXcQ8NvGuzdDmS2K6l5G981DOB+aj27j/p7CB bWys+pMdV0sTvI722VqZyo6YG/Xx6+Kn9XLLw8rxXT6857KHn79FMdMRBpzO rEbmYZ82ZdOxKrJ7e+POLrVEZjxGtnK3Sz17U9reEWAkpMNH/ZSmKr1jNyts k5ZvlDEf25IX8q0V9Ojj9sUKT2LZ6Yg8ucWsrrxcLgztaS8hfkqZePStCLba Zbr7gXsy9sPfy9NmQpdvnbrh6FUVP/bv2I3n5ywymbNd9dyru+S0cWfnqCmN r5nxuvc9xa9kzHDmgoHDP5URpzotJd7hDZW52X8fubSW2k0W63hNbKT05pHn amShbPbnCaYnfWWsx/qPTtxR5fRd92IfuU0yeSyQbjn7qYn0fr9JtpHl0knL MpGi2QtmVKcTnbZDxhq9ci5nmlWQn5LWpd6xidRkeT1uTQ85RU0ICosxziLD Vp2HJorBTNsl4+/VrvosPVrXc0lhFQ1LES5aqpdABuotRXtGdvmMbevCCi9k Uk2G62LOuwAWlzSd5xTSwFTnP+nQVOGQy5W2I5UHn7HZS355sVApq38kt/B6 zSXP508uz8r6Qj9XhW3/rignL//YbbnnsinAVUVz75OT8YFmSn1f3JMz/yEF ryaVp9DVtZP+pTY9YkdqZlpKI0Vsotnvh+7uInq+IO31xsfvKGaJwtTEg3J6 nmCpt/1TGgFPwBdwJR58K39RTCmT16f1minjMcOpIf8OT6unqn+blnzeUc6c FUxHNhyrZS+viUN5VhIKEHXe37Eyk5V5G6wUlnKYqnH/IQVnpJT95ukIrzeJ bOWKiXE9m/JY3tYxBTs/N9FuE3vn+MvBzCv5ivvJkYlstqaFemuEnPbOz0sN NMkgd4XWJwssqrp4YZOT9dpGmqpnaeYwO5GGT5iUc2o2lxpFboO+B0vpo+xy Sj+nQjqY8VCUc7CLD643Vz8ZxyWlh4d+zGhPo2mK569w8qV0zCsgT9eFQ6f1 X1ssrSkhh4H7ZDZHGml3z3lJQ0OLSG1z+PQgnTSaStkVujdl5DPLLejRnxKK CX8gPGeaQ7umFvAK1bt04IBKsqldPg2ui5k2ziCT9mwfvjS4TxMtkP9jTbMK SdFW34pfnkrvKvhvXr5pJC3V+xs/6FXS4ZbdNkv5keRskeUfsqacKvfMHXn5 uoxuCJxs29w+07vLRWoe9U00dJ/8+pr2XPr4zWzIzrgMxr4pvG0SN7ERNVVT 9/VPI8GvgrPD8j9S6pMBA46MbaKHDSHBy0KLqXfCQW2dhUlskCB9tuqXJhY6 7+KqiLt5hP6hn+gj+od+oo8VD7d/3zrtLfM6+Nt+n28U039YJW8o7MLd/z7j d3x/KvMwG59XShomeocvLuPRbJOQkzMju/JY4z5D6+O1pBY07v3EJC7Jxt82 /loqpD0vx8/mRVZQjVFjJTdSQtbTKvWHL6imz81R/L4beLTg/YT6LW71tHr3 rPgYozKS97MJMbpVTlOGPdWXPpSSaexeb6ecCopr7Nh+xaeA5ledD9bTaSQT zQ2D/AvKaciOkRo7GzPJIfO4c+xcDpm2/lHMLJQSrVvTJckp9PNDz4LBN3hk tDgm5/g9Cb1XUfr1fEUh+16/bliPGglr3qtRtsyZQ89dGk88eJnJ7r1P+u71 UsKEJT1UOxR4tHmpRfuj54Vstv6TPXPdZOy9cIu/2fR8Gj9+4/AI62x2qffA zAFaTWzNfuf9Z33yqfKE3eJivQLWX91HPmdiE1OwX+7zLzCT7nhsOcc9+pX5 Ze5YFajRxO4vumzWGJ5LczkzlLUzMllPfddRE6uk7NMwR4czU7pyh3H+5Pft qex8zXIz3YwmtuyVr+qVedm0ZNe50jexX+kG6e2NeNBEJXv/G/Lf2hSCHkAf oAvQA+gDdAHziXnFnGKeMd+Ya/QVfUZ/gQPgAngQxjddnbuGT/WHPq4criii vInffCbVVnT3G/1H3zdX7c41HsqlRSUTPybsF5Pq/o8jtY+XUe12q5j//Pm0 oFEwoVFFREfMDZc0R5TTgAd7CvlulbTMadao5M8icno04Oy0OTz65Pbhzg3j cuIbh1049pFDH+RZIY8Pi8nU0uHNk2sFbN+745eeXOMyK3e2OclQQrHt2set 26pZ3eMfq0/cqmdPbkx09B3LIdfaPq2u9uVs7N51owybGtizP3bPj50oohYX n9tfhtaw90H7LriubGAqgyaaHw3LJ7tXK48cWFLJoqrGP5jOaWAZKyJMVI0K qPrbyM3uhsXMetOPvPn/Glnb9fnNxfICSilQDjXNy2fpghHX+rTwmcGP7PVX 79ST+tA7yTlxiSxwRGG7dXUVay7gJC4800j7HA+d8ftSTo3+k7Xm1zTSXetb vh2+GfRf8VzD5lEFVKFx9cCgLTIyvP8kzWFcEQ0sFh7d/qaY/ipHmn2JldEx 5xV/Ko3TSfuiU7b+sCJSGim57vdVRhIxJ6b2aRbtSKDDQY/yaEX9ko7AR138 Nlf4IdwrlaY/8ys/kJdKJ4c6eE46wKOW6z/TvPwkBD8BfwFfAT8BfwFfAX4H 34PnoQfQB+jCWpPYDdX/iUkyIPDFUl0OifsEJNjuqOzmEfAK+AT4AF6AE+AJ +AKuVlV9t+ftL6bAqy53/4aW0ht9rwv8CY3dn/E7vu90eep8zI3LbE7s9RSb 17OXoYq+t7UryWyY3+Ipcj7rM3CtppNMyH6f8CncN6mcDsf3/q9fBo/dsC8w P3FIzOxf6fgXmhZQGC/vukZ5NXt8d/vcl0ES9uO5yqCbsyqoZXJ7mfeKKjZc MC579nEBq07UCeRfFNC9q48GeHaWkt2mOO6dThENK78RYDeAT98njRStb+OQ r9qutZ1LpHR5gWDQ7svZtExs7738VQVR8pKba680UrnLjKMHpmbTnqPnKi2m 11DMw9EuP2MaaMc9Fe3Xq7Lo4eq6T66vy+imzqsRKk2NZOul+uLJ4WwyT4lJ lEjKicSHa/ImS8lv2W2j5KlVpPWL+JuNM4lb5JI6n8ehfyMWqXvbSclRz6OH /qwqZnXY7fajI43sSYPNHFvzNPrzz7oh0KaYlcz0nfzOScbOCngH3a/m0D6n 1ml6ZkVspOX81rCxTazphfLee1uS6XXCrtiCdSXs083Ha1d8aWTZi3YufWxb SPCj8KfwpfCj8KfwpfAH8AvwCfAT8BfwFeAL8Ad4A/wCvgHPoN/oP/oOfAAv wIlPym2FbQkCdjDs/rU1QSI2bO4g4+sdBYTP+B3fv0qat+epRi6zUzv7qeJa IePUxQYcTJDRP/3Fl76ttaOaROHKwO/2FDrjYEptp5ym+P8nHnuBS3v3GU0Y dlJC0Vn9M7wS8+kpv8hD7SCf5j1pFVQuF5MXP/k55eVR611969Y5HOrHlx1r dpWS1pr7n6dG55HZa4f1rz24VGmm+OBEXVd+UFDrTIkqog8Pe53S7JHBuBF+ ofcKSlj0q+nXLzl18cr9qDtfT9axicITt3eKxCzngsZNuVIFnXM/t/HqiGrW WylowtURjSz0yLrw25czyPjCL8H0RXVsoYGfjs6WBtY/YUI1mafTsfmjP3j0 rGRsnbYJ16KRKeZ7rxq+MIdy/lt0aPXvMuZmOuxg4G8RW+t09MicTB7d6rd/ n/mOEhJm8Dx4ehIytS+ee+MWhzhJi/JlM6qIZ71fn7e5kUqHh9qfd84gjdKJ U/20yoirNttswkkZxf8KE6aPS6Znt+IjP3lW0Aj/yW2FSY3UpnFI8YpGOiHP IN8g1yDPIN8g18Bfwm/CZ8KPwp/Cl8LfwO/A50CHoEvQI+gWdAz6BX4B34Bn gA/gBTgBnoAv4OrY3uYJQVOF9Hu6t/epbBF9eHb/eqBSXvdn/I7vo1bndsy9 zKMpU8c612SIyCreOuXlmQp6de9LyNe1fDpp43l2T6iAzp86GylUqqXQr4sS cvvy2CedD7viWsTsie/SZKF9AXHvjdHek8pnx6xWrfmhIGaBT6JPBGnm0fhb +V/5ylxm3dRncpielKnvjPcr6JtNX1wGNJw14LGY8YPHDs0Xs+WKcZ5/5heQ 7TT1B4PVqmgPZ+dtO6mIsm5p7p6dzKXLZtq8aFUu6fVIivf0ldD5y74RB+8U EL9+mfnYnRy6v2vdvVtVUtqi5fdwZ246LcixeLH4djmx3ZFui2+LyXzi6Gm3 TnDI+tcWW6M1HCaL9GksG9fAXm0NP1+1M5n8H3+O/vagkjVff6V3NqCRvfLu M/udQiqt5Y13P6JVwzpmt7f2GtXIxBWLbv6uTSLkXuRg5F/kXuRg5F/kE+QV 5BT4Xfhf+F74Y/hl+GT4FfgX+Bb4G/gd+BzoEHQJegTdgo5Bv8Av4BvwDPQJ egWdAj6AF+AEeAK+gKvvRspvFpoKmVeRiv2GRBH7ucH908BHOYTP+B3fH3ub lS5cyGefXBMucgbXs6QbT3e/m1JKAzseXPLoLWBrw8bZlK0SMgvuNcOPEytp 8KuHKQtSeGS82mHjkz4SmvDbRHXUgGz6+fNY+eHFAlqpObifZ18x7evzckKd Ywbp3Htw0mc/lz7aicadvSShTYHWB3YX5pNi5N7rvZy5dGW8u3fKDxE1z3Yb ZhlZRXpZG8vWPuIwJd35Kys8pOz5jeb6wjVZ9NPQpYrXh8cqKtv6nxZLmI/X lv5aE1NpYVnGi5uGdWz19B1Npl14m2k3p2///VmUsKqXp9KaWlZgHfIk5kU9 +zKjjTfmbS3xTqwa8eFeDbl+GdtfwbeBAsfu/u6xN4uwN8EeBfsT7E2wR8H+ BLkXORj5F3kJ+Qm5CfkKeQs5Cz4Yvhh+uKdTVMLFAVLa+nfHjg3Pa2nN2/Cl s/qXdPsb+B34HOgQdAl6BN2CjkG/wCPgFfAJeAc8BP4BDoAL4AG4AY6AH5Ox G3IeewupaJS6Zkq1iH4fqA0MeJve/Rm/4/vPA693btStplm9gnM17nMo5Pyk PBXHerourblkqJpDbaaeZk7Pcsn6gZ+lg0kTaQ7c/mXYbQEze6XrKvtTzzSn yCRTolKo8fsOt7aTZbT96MyF6h4cGnky2Ho5E9Nxc0WO6mQBqbc4nzxwQEwz pq/xvi5JogemdcuNt3KpaKrja7FLV5169V5WVZhEno/lyYb7eBS81lFXckNC ZyTqY9rmpVN/Ua+487Z1bGUfoYFNrYSFzIwz+JNdTA2Opw7/cOaymQKu5+HF UjZZz+hIUmMqYb+GfRv2bNivYd+GPRv2JtijYH+CXI2cjXyNHI5cjjyOvIT8 hNyEfIW8hZwFvwv/C9+LHIVchTwFHwNfAz8D3wMfBP8DHYIuQY+gW9Ax6Bd4 BLwCPgHvgIfAP8AH8AKcAE/AF3Bl9aj0yLdPQrb/vq5uOkfE1PoXuf2jVMJn /I7vNRwMlBWXCuhRbICfml09xYofbhw+OZ9K4lT29XQVks+9/AsrvUSUHTgt dnN6Do0NV5+dvphPmzuUNl8yFNPNYeor5D+/0t52gzbjF3z6Ol/Ng+MjoqXX /M2T75TSTc/nTQ7Xi+iI77KrozKrqbifwgLdaiktiTuQPNGER2vLjmodiBdT i4l3S65tAWEPi70s9rHYw2Ivi30s9m7Yw2H/hv0L9jHYw2Bfg/0N9jYZ2SdN jJc20hmLsT8GXSmh0IzdR/4bWELI4cjlyOPIRchJyEfIUchVyFPwu/C/8L3I S8hPyE3wK/Av8C3wN/A78DnQG+gPdAf6BL2CTnXzy//4BjyDfqP/6Dv4BXwD nsnu3DowKYVP1zSfj2TRAlrsN/D1wofV3Z/xO753WOIUblIlYM1DhzwZUVrP IjfwheNWJNF2zQL3JI6QLb2u0nd7nYjVFudtulSRRPw9EVoDkvn0beDZkQ/O iMmjzSFtpF867SxvGNJZJ6C0wuwxHz/Uk06Sf+SU+Sm0LNiqrb2GQxWxVau2 uIioSOWtwZH7tdQv9NkJgVMh+7Y7bvvI8FLW60RkcY/TjYQ9Pvb62Odjj4+9 Pvb52Odiv4u9LvZ62PNhv4f9C/Yx2MNgX4P9DfY2PY851QZ8a2D9hsUYhxuW s4WrjnMU7xd1523kb+Ru5CLkJOQj5CjkKuQp+F34X/he+A/4EfgQ+F34X/je UF1P16bgelLR/Bo31JVHS/o/oxyt0m59gl5Bp8AL4AnwA3gEvAI+AQ6AC+AB uAGOgB/d3aUP3QVCEk3QCtErF1HZzGPq78Ykd3/G7/j+7tgj9y+o8tmYGw8n L/QQMruGCFePv1WUcHL8zDG1AiaR10W8+yxkM4Y2F1jdKqGT91QHt2bw2YEr gXcHDBczVbP76WtacsjYc9ZbV2UBCyot4X937/KlQ5TvZ28tIbz34P0H7z54 18E7D9538A6EdyG8B+E9AO8DeBfA+wHeE/COgD0y9srYJ2Pfh/0f9n7Yy2BP g/0M8jPyNHI08jbyN3L3+yv6AS4WEtY36/ui5kPV7PfFWasVoyu7cxRyFfIU /Cv8LHws/C78L3wv/Ar8C3wL/A38DnwOeAE8AX4Aj4BXwCfoN/qPvgMfwAtw ckVVReDWxGcLPukkP4sTMH/FQ8vrhlQTPuN3fC9s3fzKUkVII380uJz2ridp 6SYnf5dkMkzU3PKK1/X9PeveOnEiUh7Usn/S7tT/e7f73zse3u/wzod3P7z3 4V0Q74R4H8T7EN6L8E6E9yS8L+FdCe8KeGfA+wLeIfAugfcI7IWxJ8Z+GHtk 7JWxT8ZeD3s+7PewB8ReEPtA7GWwp8F+Bnsc7HWwz0HeRv5G7kY+R15HTkde Qn5CboLfhf+F74U/hl+GT4aPga+Bn4HvgQ+C/4EOQZegR9At6Bj0C/wCvgHP gI/AT+Al4An4Aq6AP+AROKwPadsvUxax/IT8Gb+qRSxy9cbmiQsZ4TN+x/d1 hkUnP9tks7oJ31OD/taz9CXxfhJlAYV3nvUQ9oohzaAElafaUjodWDVwG/Go I1RtRKljDF0b4b3M+7yMEi/G9z8yo5x0fjod9TOJJrvEMG//l0209s6wU78v F9Cf8Ya1a7+/p3nTLQ/9myyntSoT6wMtsinjPzeTT74FFLltYbKdXyOZ7xzf 1je4lEaeVtWWRCSyY5lPrlYFNjBz60/fVinWdb8f4D0B7wiTfgz9svx4BiU5 jza3udBAh9o1x34zryXcB/fDvfCOhXctvGfBL8I/wjci3yLvIudC16Hz0Hfc B/fDvcCn4FfwKva82Pti3ws9hj5Dl9EP9Ad9wTsB3g3wXoA+oW/oF/a52O9i r4v8gDyBHIG+os/oL/Yg2ItgH4J+o//oO/qKPqO/6B/6iT5eCzk69/m+96zi /H2jU2oy9j45zbOSKinDqqEppSSSaahNHaB2ukv3Ej84TXtWTlrrPtskBYUx 0aldKfFBMrbke1CGc2kZDUipGOlg9opFLdFW6REqY/fXWez6kF9Gpd/UCzf6 hrAPOlN8ay7K2Mdh3zp2+XXVx2F/yXzd50z1WLblJA0Ze7VKZdI920oySImu NuQFMosl85ccM+7ym7bir67hNRRdx3TijVNo//Jj4x67NNGxwf7l1rfzaW/a PM1pwxlFX2/9NmW4nIyv5yQEqGXR1KzUQepdeXgyX/NYQ1YTu96refwx93Ra cePdySX56ezrXJtP6i1NrN/HfnNK2lLp1kTxxrUH8qmffefE3FNNNE2p+ct1 v1RCXVAn1Ad1QZ1QH9QFdUJ9UBfUCfXBfXA/3Av1Qv1QN9QL9UPdUC/Ur7tu /6sL6oT6oC6oE+qDuqBOqA/qgjqhPsv5Pdr37ixiOB992FTnIGuk+x7VzwQ/ Y9nqbNWxF5ql7NTRfoMudHBoX7udxsC69yz0fOzylFcSNuHVYunHHzyao6U8 L/h0OGvQef704gIR0zi+8PnznyJaf9jq0OtfT5hyTfMy28kVLGr1gV+nbWRU 8YqbX/j5LtlG+GUHpH+l9Q1nGvX+dc3PNdnEw+UhlNVRtm3Jzq6842TJlRQL 6emcuo2H3NJYwcR+5RsmlLOpZtVbeo2S0Yy3rXWxelH0Okf5sehEF2/KRA7z dOSkt72wM+FSDm3MslQ9eLielk97Ly7zE9Cxt06HR+7NpYODY2edMG2k4LFb Y2fUVBD/qckl85mfKDcj7WJHopiW3/dbX9LOp9l6+rv3RUSx9eqz5xVtFrDn Uf3CHj8UU/qLRf9ZycMYzn16jiU/+HKa+bR6x7nGSlJJDFhxeDeP3ALWnbfp 0rkZ65V2siE1FBu1371otIRK06dp5Xd2+cZFJkcnFhaQ2TWvaU5jJLRoSXHm rQ9cCtDc3HuJWxJ7eTNx9WnHGqb56qDDpb6NFB51e/+XQ/ls6PDDyzapy9gH T7nj9u/FZPnlfv9tX1OYW9B/g6b1kjJbpX1Rt4RcQr1QP9QNfx/+XvyduUO+ LSn6V0Fb5lvoKzXxaXys2Yt8ayE9PHJJ1ft1OWvd3zNLcZ6IXZw1/V3taT6t N+nV6vO1km2uDlLbG9XAbP8M8LW5WkAFRo/8FzUWswll3qOHz+36/t7fPVPt K6mXudfwnfX55LbMqvmavpi2+batdNbgk37U6yt6/Yqo7Mabp7GFMjr1L2Ku /7UsundUddnrnAKa2mP3N9OVTVRqy7t1vgu37yI2ihOX5VON1haNfRky2hK2 oehKZX43DoAL4AF1Rx9Q/0+dVvojdxd3n/q3nkvPezVSP72ijW4ZPLbHfdbh 8s8iltRrvOaDknLaWJGrtudPNVM0Cr/aM6iePX11J676Vx0taxm5pLmgioJv HYiJfCqhV9sKkg5ZVpJl9aqLz0vLqUeL2+pNoxvpnLstf3hNAVHBjrbRp4rY Wddjr/0Gi1mS6fs+Zz7w6P375w1zbxezPaqvi4TxMhY6+6RJycz0bhwD18Az +oS+oV/4u3EP/P1Tx7VcDkmKZda1AQWugk8sbdoMhdDXcuJNnBe905FH4ycN PPhPIKbc2D+jLLrmcrf3x+iUBg7N3XVsTiGT0JO/RQcK1hbQMHfp9MpflWzH 0VM/D3X5pvUNwxxfcLgUvv5F7ZiQSta2ULfAfnGXjkUemFlwtss3ruaZJlhX UP4Q4anTk7twvFkW6xObT+AX8A14BvOJecWcAn/AI3CI++B+uFeBfkXZZg6P zntLaha8ERJxHF9raVdT1RyrSc0yHsvVfG+WeUPMptqObB3P/0r75kU53njH ZV5HIotGe0qYhoyX83NdHmkO4CWn59TRlNHKg85ulVDWz5lPl+SWUstr5XmC AyksXX36v7hVRWyW/5SpvYY3EfgRfAmexJxj7jHvmB/ME+YIOAPugDf0CX1D v3BP3Bv3XX3y2v3qwSKGU2Zt9z7JLodaz6/ct9aXz5q9Kk7kaIpYiZbZ2Fzn cgprM9jw+zKfdMJUTakr1x6cfvveXNtMyjXqM6DyBZdeKGQ+UXMWk/Ia5ZJ7 y0uo3jTXYek2LjvP/kv4biBlj1tD9hTkp5HhoXvF/wrr2MH+vmfu6ErZ+Xvf lmSfLyToBHQDegG+A/+B9zBXmDPMF3AJnAKf6Cv6jP7inrg37uuo1S9o2lJR 97lGGsnL9U+nG/MX7N1ZUkxXNa811i0oowYb3/lzvzfQ1bkLOn5VcIizwC+n X4CIOts6ClfPqSUdG5Xph+q4tO7EUTMlZSmlpah4Jlztyqc6+RsepnPYRuWE FfP3SNkzi0FJA85mE3QROgl9BL+D78Hz4FPwK3gVc4i5xDwCx8A18Iy+os/o L+6Je+O+LqUz+z/cJGI4Rcve8lNMU+nfttG9TokEdCX6d+RC5XqKm7uz15i2 XKpKUA1PcuVTHD901LhL9eQ6pOVR0+AimvBy+ggVAYfOdO640q+wnhylZ34X T6/s9gHwBfAD0AnoBvQCfAp+Ba9iPjGvmFPgFfgFbvF34x74+0eNiLV/qyro PtVvPvJ4cKeGdDNNzveyELLjAdo/vu+uZ3c3cmd/epREU071vJRlKqCUHU8O bdIQk8A7rrPDIZW2WhT0CXYuosYdh5MLGsuJc/VaQkd+w//5m//5Hfgc6B/0 EDoInYBuQC/As+Bd8C3mEHOJeQRegV/gFn1C39Av3BP3xn2T/IZZOVqKuk/f 8vY/Gp1J9G5Yp0gyWcA2fNsk0+II2eaj/F5GD8roT4TQYnM7n218WtdLd189 W+Fz5731k4JuvwX/Bd8FvYf+Q/ehH9AT6Aj4F3wMHgbvgIfAP5hPzCvmFP1D P9FH3Af3w710Lpi0TZggYDgzLdYIfebXUPGJqYtczwrp1KDH58In15PK5SK7 Ou8Ugo+Er4SfhG+Dj4N/g7+B34HPgT+AX+j2Cf/jF/ANeAbzhvnD3AGXwCnw iT6hb+gX7oP74V5TM57r/jwlYjjH2psMC7RglHpuaPQn888MZ2bh4JvZvnJS 1bLocBn4ic0xNPyhvr6YTY5baTl4ShPhM37H93HVtXyJ8A1zP16S9PBWIhuX tmDI+eddfvuD7u+V++LZs7PLly4S1zGXmJjD9k4NdLn3qJLS1EgW82v5Gcm6 ImY91trvmX0Tmb74ceKSII20os7aWE3j0gaFtLrmfVI63PSrLCVxJ0Ubj9+l Puoi7fepefK5U04vTfbZ5Gq9Jf/jQy5f0yojwbyUtxOSZBSrXHTP4Osnqpw7 UttpioB80u6rC33F5D21os/52QkUHrxl8aVREhq7+IvC+2N8Cgqf8XdMTtf3 Tn0ezohtoHWSMzmGtbWk2s9om9OLBHrkW5BuoiWjpS/aTnmPqaA74/TlX3Y9 owerll4W/cyjgdNbf1z8//9/3kKv1NcLPzDpsLIFln8T2WPPgwuvX5PTab5d VbVaAhnnjzqp/jWLNFeuOMFRlNOK2PAF687m09tBsYEqjkW0k+NT6bhTRg3z /7M711ZA2qMvhmW2cajkV499+t4S4mom+fi8LaF3Up2P40Ui0p/5InPPLT79 mhFWbjGrlH4lOQ9S50uoI3r+43KrWuqrvEU/OSiZFKaFWgQ71FBodPCGEX8b KKV1ULKqRTaFZZXPitZspOi8e3ZRK6uoX7siuXbxkPvbmZoLYsW0dMmRw8aX +PR6ft3dHg+/stHn/Y2870jZXe39nzYpcOiW3en60uuRJJ64y+5TcSHNDEgY 6Hi5iS6StnbAlAS26tySd1ON+Gz+NWMD7hwJ5fcUrLbZlMaqIhTeruA3MI8m revrt9XQ3d+m76SiNDby9RILM5GMTXaIe7T6QxHdnr3fdohGKrOI6BcpHy5n 55uCJtWzVPp+/6pA83UGc/n27ll1jIw9dl2zVLyhmFB39AH1R31Rb9QZ/UB/ 0JeDZw1e73jD6T51+mxomRooJMe4rOGDvleQSPl857PvYmrPz41L9KylPm/n KaaaF1H9+Lz0k2ME1Dry3zPlJhEJT67KHtfizlSybxj7avowDbXvwvp2OVm9 2aJ4XxjKfMuSN7SnfGKRv0u9JKlyMjjm9DUnq4j5x9h2znhUz0oCC08VLeDT EZa99/bOKnbB0/TBVHspa26usBl1oYu32/YEdX4tYZmWrS+tIhrYg4WPkp1u ldFQ7z/Nw9VTWYO9bUZlaTU77XxnhcXQRurVofxA90w+M23gx1y40MiM1/8M TlUop3Ku8GWmTxrL7aXl7XFEwD6fuLx3T1s9RS0zi1i9uYjUhwTOsmltpKAD ddah44vot1Zfx3zbNDoy22hgpoaQbLdaFuVa1tOkJeZvXiXnkufiG4oTZsto f6/V1RYPSgi8AJ4APwDfwDtwDnwD78B59tAvmmxEKel7Rjy+tL6K9N1Wfe2b KKUHISWiYK0Spt7/YkLgo2r2aVSJRYyvlCb3ceHMl9Sws5G+Cf7XOOyS13T/ wy0i2nY1O27BeA7LrP/yUxRTz4yNr3jstK4mkddNFZPUKjZwuE2u/k8py3NX vbX9dDH9mPuBrb9Uxl5uPpi4Ya6YjdhlUmJizKWynWW7f6pF0xyPBYfebUqi 05w5R/3vyOnicPMlWZrxJNHIPTbfOp8ipvdWjH7fRH2UM9cfsCqjW9ejmW+B lM4rlGiPaqqgmVeyIy1di6hnwruI+aPqidNxPGwcj0+csU7fXmcU0du8cc/U LjfSsN+HmhPWltDD2glhhqmJFOZze+n3kEpKXv5v8bqERrowns+ZFlHA1h05 c3Dw3Qamd9AoJn9VFf363Pqz76lCtmOC6fu8Chn7pjXnxMOQbAIvg6fBz+Bf 8DF4GHwN/gZvg3fAQ+Af9Km7b//rF/qB/qAv6B/6iT4GDhi/eF67gOEcvLhU WCcvoz1B8x+e/shn+/Lse7rbC9natJ0KEU6VNIvsApacL2XLdMxiKwbXsVit HoItTyQk3Zs++cbyGiqdr+S13FtIm9483eB6i0dr/j12COvDI8dLLsXLPnbx 6mWjeZOUq6gl3D7KV1pNgzWuBpdXSEmPtq0L2VdEf44VW55aWkWr7nlOVZMI af7jbMtnTTwSFHa2K20uJAW147MOdfn7ebeu6VlIxDSnp8fMEZ3l7K+c9Tjp LWHG8pHUe0YN7XFWi1p2oJZlKiVp7xzZwLT31G5KCcujTp2h6mEFjL5v/TnB 4Uc+bS1m5uGPmiht4Mnjv67ksjc8jZVqz3hM1UvvMLdZTGf0VRK4hiVkOunw qj38Bjok9vaIGljWrZfQT+gm9BL6Cd0Er4HnwG/gL/AZeAx8B/4D72GuMGeY L/QJfUO/Pq28zH2kFtx9Bow+e2pvs5xmqZc9b58soKzEG8E1qUJa9Hay9FZL Wfdn/I7vveojtftuFJDtra0L3N3racCXX2HeBnn0OT0+33k4j8bFRBgu49TT x0c35767Uko/HEUedUpvmOxsesDXp+/Z/XHtUXer5DRBt+e2KpMaduvATmF8 I5c1HNms2ktNRFpXzE8N6MVlTnkrmaOuhKUV6B6xUy0mRx1xsWdYLZv50qJB Za+U9VpvFLhweREdGrRV7KxSyZ5v/82dmMVngTKv42GuQvpn6Wz3XvKW+qlF HdIcl0DC/dtFV1/JafnfYYeXmVXS+pvcdVpdue7opG1LjMPyaZjDzgmCkGh2 dLvr47WF6ezNAYVdnVvldLNqR+mxXdVsZvuY3b2LG9iVedt7Z/Kzu30PfBD8 D3wPfBD8D3QIugQ9gt5Af6A70CfoFXQK84b5w9xhrjBnmC/MIeYS84j+oZ/o Y35aYZBPBb/7VJ2cvDz5Qy35PHWs27SAxw66vcqoOMNnfhPPLDZ5zyV8xu/4 3qndmVt5V8BSx1f2nGFTzyyK7YPLNHLp9Xmxk24Wj8X/mHJh3J8u/Q0b+i70 SRFdiyyy62deSLFbhp1We1dO3nuWLvgyqJGuaw9dceY0lxb1l/vElgno3v2O hN51HPLWPHLv+W8uPf61rvzHAQktjQ0o3S/OpTdqRzc8bOSQ+y5pVttKKZW7 zyjtDM8mv4EuxtcHFNMk59O/NYhDs8r3hNwJl3Tlp/f3e26vY4dUMlsnMRGz lXws1ZzMoZ9+sUZJhrXsQ+9w/8ldum/CzrgfXZBKVVtDrh62r2Le4ZEHhveR ssnq11Qz51R0+1r4XPhb+Fr4XPhb+EX4R/hG+Az4DvgN6CX0E7oJXYROQh+h o9BV6CnmE/OKOcUcYi4xj5hbzDHmF31Fn9FfxX0f41d4CBjOJ1OKe75PqCTP H7P+9enC07SW8uJfA4T0YOi50K07qro/43d8n7PCtuRAo4DscjK9XjrU0/Lh C4eGN6fTWunPmIqzHBrq9amfmaOAzvZZrDz9Px59GZistHqxgBmtaP+p/b6e TapryF46LpcGbvVx/KbEY5teKisER0iYSrSvsnprBr0UWh3+1yuHhQxwsH+Z U8zKrKrb/tjLSLL9x+O/ClyqnhtZxzWQUsuGskm/nLNoVnCf1UOohk6ssl2f oS2iB0a7nHV53G5/D78Pnw8fD18PPw/fjxwA/w8fA18DPwMfA18DPwNdhE5C H6Gj0FXoKfgU/ApexRxiLjGPmDfMH+YO84l5xZyiT+gb+mXmvFBLpS2t+zSM PTo7qLmJnm8rminZwGfllgaftY6J2B/VerN3ZuWkmNhXh2fCZ4vvz1Z/s1XA XiVy8x/l1ZJ/h+kFvwoelSReWf/6l5is9kenqP7N6s5FyEnIR8hFyEnIR/Dr 8O/w7fAT8BfwFfAN8BHwD/AZ8B3wG9Ah6BL0CLoFHYN+gb/AZ+Ax4Bt4B86B b+AdOEe9UD/UDfVFvVFnrctZkkkqou4zzSZhnrtNDjWsX1j/7C2fogoWBJ33 F1KwRq9h0f8q6IF34ui91wUsfuk+ncc36ll41Lp0g6Jsmv09Zc3pMCH7+pv7 4H6EiG0TlNkf0sikCNvvVue+cFjKjFWpp4by2XZf3lU3Fz5Nenvbbup4Pn3Y fu3+rI9ikkZ8PnfcNpuQV5FfkVuRV5FfkVuRr5C3kLOQo5CrkKeQu5DDkL+Q B5APkAvgG+Aj4B+gK9AZ6Av0A3oCHYHeQH+gO+Aj8BN4CXVHH1B/1Bf1Rp3R D/QHfckdNN6r0lLEcNpcmpUd9C2JsgY7bZn7vYT1j1x0r1Jayi6MrDx1JquB 8Bm/4/sJwUN93PYL6Z33iFZjw3pSyrtwdK9zMvksGaZxs1BIX+93fPovQUTz Mqx4aa2pdPLU24DkrxxmJV0fxcnhMwvRUI/QSF53jkWuRZ5FjkWuRZ5FHkM+ Qy5DHkM+Qy6Dj4evh58Hv4PvwfPgd/A9eB78Ar4BzwDHwDXwjLqgTqgP6oI6 oT5jnv/aGWMlZDhHP/qdvfp7Mf3NPvx6wV8+6ztox8yMx0KW7ve4yr/LJ9gY fL+wcKCQfvbZIdcIqKfg+LBRK34nde/FsCfDfgx7HOx1sM/BHgd7HexzkGOR a5FnkWORa5FnkYuQk5CPkIuQk5CP4LPhu+G34afhr+Gr4b/hx+HD4cPgy+DH 4MPgy+DHoNPQbeg1eAc8BP4BXoFf4Bb9QH/QF/QD/UFfjizvNNmyUdR9/tHe dF47IJUq1C0tdd8LGc90/Lm8KyJ2edFut0sTsgmf8Tu+f9vYeGnDrc9MO7X3 Tf0m//gVTjXfpTlyMlQLtdgljmZqub1OJzhKmb6W/FNLCpes+5eHKhSFMK2W eINF3iWsfq9v+LbhTXTu82DjKbFvWdG5Cl7pbjH7mOs/fWGggH7svWHQNzmI NnhsMxprVUy9V7wXam9qom9PzvuZTwplW27XGt/157ErQ6vvtP+V0NYC+4HR 4efZtmcZbovmxzHluc+WxRXLqUP/afoD90A6vGNoj+x9XFLZvb2HdamUng03 9Y7XfkW3DZX6T4uU0owyrSQfry4fYcNfNeneR7qZv1JB0VhOJhdfFbQWpZHe G+PXBvsTaKt01PLzEY30Ycudvq91unxglc+uGfOuUs9+A/6G3A6kuUrfpsxo k1PvqX3GvuzN6KnVEo+zTvn0Mi6yzTisidzKJgQaaMSRjeu4MxGKFfQnR9Ne ebWMel7p8f63WiGF9XrztPhzPSmY8AbrnObTwYxvyxx802jSNZ9+yUcltCGu l4nKQx6dvTT6jkPBR9a651rMqQIJ+29rfF7WMx7Nm3ag2N0yiSmM7nFQbNfE 3Dj3mJVLAa3d5qU9d+NnGqNfHlRZF08dh+cbPLkrJ0sjUb8/n96R+eJdvsm7 PlBhVpNJeoq8+zN+x/dFMzUHvvtZSKPLhhf3t6umlr1zGu0HNdDMtOEjKlZX kqwmJcf0dDWt3xftu+qshFQumdkIonJZ1NVInp0WlwUVpt982dWvEW+P26q6 hFNTZ9+7EXNz6FJ064RMHTndd1V461r6lelYZVc58oUsV1voHvJdSClc03ll Ex1o9k+zisPbPcmwz5u/5f/kpOtbu893SCr7bPX82udbAmauLUiUt9TTi+c1 QZbH41jrxN9fM4o47N/q3R939G6gkCPzl2yJ+8hWRWpo2Rx/zX7UnDkYmSXv vg/uh3sNOxHWOi07n3b2UvB6U1tJvuYpFldzG0jwbOZ1lZQSev6FPRpkx6eH pn6uX/+ISGPV3uSf2y9S38ym1muTrpLsSKHlxk45UfDxHWeqKlnK6QWVo1Ql bEzOVzZqZw2FFbh0nDF9x/QyGsaWhyWyAXG2y+hxV18O/r4SE1LKtgQuX1p+ up7tivtwJ/M+j7SOWvr+Valgt2/3O7nqAZ9l9JzaP7hdSL2Pzjta4l/AYvav 36x8o5YZeFj004+W0uVVvX2tvcvZJe5LlXq9BqZ/p+eBQ99K6eeGtwbl/sV0 x3zB7pT+9eTrozSp+BWfZroHT1kT9Jn03GdenturjP4fT9cdV3P7/lPI3oSs sjeZGV2ikIbIfEIkIStRSRmFEKkUQiJJSUZJUelu7713p9MZnc7pJDMNfuf3 en3f508953zyucd1vdflMa4bXdj+ooWE9VY9nqaU034bw2E7XknoRJ+g6PfG +XRg6ty61/EFNGePhrujqoTWfjVNPPioknZZufP/+5dHKkJH+21SCWWFnveN vlFGj4qP5ewcwyWnA7l/XB3z6Nd4YbCCjkh+f3CfcI/0ZlnYFv9NYq6vbJ8l /01mFj9P/fOhVrJUaXea8DSazeSdqWi/E8sernhYsPpNK+HP+O/4eXGC41UW wGGDVm58eXYNn7Ud/njTSaOBsrbuK7FY2shi62auNZ7DY/yBvXdkX6in2YoV W57UlLCFVwp/mno1sFANlQbJsyYKs7XNn5JQydJzStfkPBKyaPcQx7TdDXRh 1dwHn1XTKO6H5fSt9/LJoaLtr68M5x9yGp5wvDCJ+j3/tP+xfhEltg62Wmoo pTUj3rln23GoV75PAtWLKCVvieXdjUVkX1I3e+SyHGZ8N/PviGU1bNrsD5MT ysU0533P26kHqtj7nhX8eToS9mujVb/PXjmkpVKkOmxYCTtzO+Qaz7uFCYv9 XheWZ9POqlS/sd15ZHvdaEyVuJEGCw5oORQI5XUHdQj1583U3PgVVzNpv+qp HzMSEskh0mNsZr9W+TnGucZ5xrnHPcD5x/pivbHOJrP7Kx7pqqFyfkhZyosG ohP83VePCeiz+aXM3YFldMl37x6T8lqKjD146vw3EQ1OPLQ4P5bDKnm/Zhqe bGCjbTeICjt4NCKD073NjcO+rGkufR7BZV99Kv3n9OJRv0FDqov8ZL8nqGrR 3C1cSlF4vX7QmUZy3rCnLfBNHZ2dkfHKoYZHC3oHF+7M5dKFpPHOxhPqmEH6 U7H/gmZWWs42x40pJUXdzaGGglJa+37VWM2jjTSS8W88/iWQvfdwUx/vKnYk JKUkIrmJjX9wfc3VR3VUp5fc/XNrOXOI8Lv9pKOBDVf2PfE5WUghMZnvVrjd ZS2H7jv4BvgzR5u/j7pl5/lL9oecrjENrGRa2e8YnUg2tsqg27ulWV7fUe9R 53Gfcb9xr73Tr4jLMsup+W66StWoNPpub7fzxoIWQh1BXUE9QR1BXUE9uS9V b+1pw6XVE5d92X2IQwOHzfiYsI9HWF+sN9YZ64v1xjpj/7Cf2Ectu0k2jSNL 6ERZoqJKXjnFqYRcs/4hw/N3bYzSQ6voX/jVpv0ynvK2Kjpi2Csh2R/1z0x5 m0g9dqlo1m5KIuM9I1pv7Wmll6ej/gvY3sCOL6l+HLtdyDTnzjYblFRFL3ZZ xrZ6NLKzHuLWJYOEjFf6WH3kjxIat0gw/NOjepbS0720IJLH6nSUYyNl6zlo /LsLppPS2AjjHQVd+kVsbuv8FZtnSumWr2b0Vs16ut+yaIh2jYB2vJiitXMg hyw3bB/sMaeUFr4YearbnkPPXyztqt0sovAtxfu3n6pmg/f9DlpyrJmNXyvJ 7OFUTg+/H3TNMEhnZeXWFy6wciZMHW/kNbmF9miM6nHrdD3rfWhsgoNnM0sP 7j1tRH0BAScBNwEvVXifXcKsAth/ijlVPh2nmd+Wp8rzOlvpl9ePHTO6PpMO NXYOmvCCrDYGBWzLbyX0V/Rb9FnUffQB1H8FjdbOQ7tS2e8Tow3L3GKZZrDL yCF7W+X1C/UMdQz1DvUPdQ/1C/UMday10Db7aK9caj/8frT10ixy+lPwyPCc VL6v2GfsL84BzgXOQ/qE60mDYgtZ8Kn2xpkPSpiKt8qrvzL+vPnIhn/77auY 9+sDZ6dtlfGdTdr+AepNVHbi0KFjLJjZ6L349sI+hPWz+3e4oKWVdt9aV+V6 h0tDzC+sfTexiaqLdW7cSimmhgUz9ycOKaGrA/dVcs7XUN4Wn/vC8mbS2rCd jX9YR0V7DmqVfRNQ3bhuM4UVHBqvyTe+v5rDVu/feNv9tIi18L74nKNSGqSg djZ8LoeUPYfUbrrSRPWGYSXqRyoJuBY4F/hWMUP7utrERtpav9Dc3TGcQiU5 j+M8RXJ8A7wDnAOcBNwEvBQ11S1Ny55Pd2v7p8d3lxP3svDt8vM8upJ9YrlS Pw5Liy20ztXPY9zFkTamz5vlfQh9Cf1omN6Vu+oOQmqTHsi6PZpDwaZ5gz6t qZXXTdRR1E9ry0kbrHcKmLL17nWhyrJz3bncUbuaQ7ifuK+4p5+O7Sja/SCJ PVpZNPzIvwSWqrfvQrZZK2GfsG/YL+wr9hn7OycgJe4ol8u4zpGq/e/xWeIt gYrNoRoy2brB4bNhA2vVlt2OWh6L1HtpdlLGm3u4+jjMf8th89x9NYWy+lAf 7FBsuq6WxtQZar0530jmo464cN4L6Z3Xpl8da4pIb3uglXkqh/1b27LAqrSZ TdGqG28/MJmyqkI99NNrWYT6npLidgGb0z/Ad+5dDoGHgJeAjwCPAp/KcamL 0U+PYw60bOQpJbdqC7rNTygokPVT4DDgMuAx4C3gL+Au9BX0GfQXv37u+aIr Irr4PtvWJauKTu4d2z+8qFrez9Df0NfQz9Df0Ncipq+aZ75HyPy2Jdc+lq2H QnFfl+ShNYR6ivqKuuoT5PnjQr8mmrcgN6nHyQa6+NVkiXZVufy+4f7h3mGf sG/Yr4gDmW5//6ulo7+W3RM+5tC1YMff90YIadcJ0x787Vwy63u8ZXU2l9z3 tD1I2MSlvbozDYZPa6DRAzoV0uy59MS89tHCT40Uxq9ttfLhsL5Vc7yVH3HZ Kr24sNjhPHp3q9vdvUvG8xIvmocWi6g6PbzHpsnpBN4IHgn++Oh7b/WAwFJy zlj5O1EUTzXzZ6bk17bI8THwMnDy2OFj+6vtbaS286KbG5WKSNtu5ZOcEiEB zwHfAdcBzwHfAdeh36D/oO8kDzovrXkjZK/q5s9zbKpidx8I9Kblcgj9DP0N fQ31C/UMdQzrhfXDuuE+4H7gXigvUQwXHG1kWt4/Ws/XNjKrylveHun1VLxq Viad4bLWc1OSn6Y0sotTeZFPxzUQ/oz/jp+/y/f8PEmGL1JU+5x88VZATsMP vi+yLaa+X07PUb7USO63LHddey2gU6d2eyrkltFgXoOkZyqXWaeKlT+cbmKz Dhr1k2gWyvk8+D14PXgIeAn4yHDh0/dPbz5nSysc032f3WErgtsMo/7I8O3/ +jH6M/py5CjhQD9lEQuxvLht5ZIGtrFEKe3j5BJCHUFdQT0xGWG5u9y/hs3s kz/Ez7SCSeakJOUIRITzh/OIc+j/zXdZ4gIBrS0I0Xj6SkClmsmph38nUNj0 Y8ne3nxS7z/jdXB/AdldOtWjb+9CqjPbsJt95JPd0YkeSybJ+mJW3CAjUQLF fdURxJwQUO//yjTre/PJc/4gm7zEQvn38Tw8B9/H8/Cc/3TLwqx8GmnOsDqP 8q5G2j5AWG43qJ5S7GYZBt1rpNcdKpahpTw60xkdMTi2hta882AH/OvJ6YXn 1vllXEr0LXj9yYFHgXGbi+8N5VE29+bEkvGyfXxholLUVSbXWaC7QG+BzgLd BXoLdBboLtBb6gIWrj79WHb/6pZHxXgX0bE/pZFh6/MJeAv4C7jrW1tFqPXx BvJezDO2qi2lhnzHrxay/ow+jb6Nfo3zh/OIc4j3x3pgHVTLjp9Sr2igdNIM 6n7QSKn+l08cbJXh4nM3F2uY8en3u2sFxi5C2uj4eZn4Rjxd+1ufl1tVQzWf je3mWtaSbcvmF1cuyOrjX0ODx2k1rJx7P6V3fALr9o39vW+9hH6MajUJv9HM HPRn9J1iUMw+XUpovjGxTs7rwPPA7ywa7FPeTZSy9TrHn43eVMR6sv4tB3+k EdXM+aSp1kJWxim24opS8pr1KDrmdy5p6H7vNK5qZkaTDGwy/pQz21q39S6r KimtjP5r5iVR/8KZoa+8PhAvxdCp951WQv9DP0QfdHt+N+CTD590rZ7M8y7l 0qiMaUY2N2rk5wDnAuchfWf4obZaDhnpJ54s49VT9CHtLx29BfJ1wTphfQaX asbvEglpr4dy6FwJj+xrfn8Nt4mXry/WG+ts4vrWIi6fz9YdrJ2ydomA6Tl5 LL32Npd0v/+t3a8tYFofIkO4oQL2OmjfWeuaeEo8dVkvcqiQdd7un25Symdh mkPD36kywufwPXz+9YDFJyduiqQFwwevvTi0lQKvbdPY3JpDmweolge+K6FT wsLgvs7NJD686UWQfq28f6CfoI9w4v0XPTCtpTvnUp/sWd5EA+85aU/LrpXj OeA74Lo7GlKFgKQyZh9k3PbjkYidvsJbpSyqI9Q11DnUtxFGjk8tJ5WSnVKG 5p/kQpq843x3Q51E3l/Rb9FnLQbFTvUTClhO1PpxGm+qWUlNzwGcWw0EvAv8 C9wL/Rd6MHRgg18zC3xtU1hI/vaiqFON7Fic/eZ3giYKWekU//psHIs8Pfqq uq6YTRx4N/rCHg75r9ZYVZzCmJpu7n27UgGTpt8pujFEQODJ4M3gy+BF4Eng R8DTwNfA1Rcu9Pz9yTeGWqb31tVa00r87J6TP6hm0MI6k+QRnFCqdtwVNfyO hG5HTLtf/b6GFt9JW3/q8SfSXHzib6oMp2bonR8R0ZlK3MOdefrL7rKHN2tX KW5uZa2F2jY39mYR9EToi9AVoXNB94LedXfQlpqBBYnUdS/6rJmghfxVzZO+ dstwX5nTvcg53uxdsKt9yMw4pjf3t0apbD2tfu7t8i1OZfu+vwhOEktZ9nXL MWYRGZQ6+3SeZWUUzVG4UiO2aqXBzSuXpp9Npdc2HSGjjqaw6H17rFLntbJZ 2Vejt65Ooen9Iuvm7StiNTp1n8adKWNBw53PbnWV0BmDTRPuuWeyY19P/RjY t5CZcJc/WztXKteLoR9DNwb/BB8FD5WsC39lnFbMSsfb+p571cLaO91sYimb fj68ebEyJIeNiziwedQTKTs3qSIjqCidJhw47zH2Xh77ttum6m9bC1P0HDPa 80EBWY5u8ShdncUyFOwH+1hJ2Y1vCuKChlxS0ovYGb41mS1x3j+y5jqPeSnP vpwzpIl8ByzjGgxJYaVa2bNylrQyP+GHf+Obksn05pnuyUq5ZNjj8+tn76Sk UbJLf1ZRqlynhm4NvRr6F/Qw6GDQWaC7QG8BjgeuB56/sq7uzqmR5aQ+74Zd xMIWOq+empdakCHvW+hj6F/mggDJOp8cevbwuu/AdCmNFfvu8FufQugH6A/o C9ed1ybu1+AzpZTRGztaM9iv/1p7cacK5X4D/Af4Dm2Jqcd6nuVSkmh8WMZT HlksOBr3YwiHHlY5vLwwhkMFGVKlgq9cOlTz1/fRNB5Bb4X+Ct0VegH0A+gG 4JngneCbyr4nVgiGcaghTZ1mZTXT9M37f26JyJbjY+Bl4OTkbl5ZWnQlS1Ru HeaRLmEfFG0qwgekEfoZ+hv6Gvoi+iT6I3wU+CrwU4IcZjiaLxWSnn6cl4cP hy7rRJifVagl+pE1dPM9HvnaaRw7vree3iWmn9Ip5sp1f/gA0P+hF0M/hm48 IGhT6ou1XKYyev0l7fNClv/431JDv3IKXhWxJOoeh7nv9eV8Gydg1WLNWa4T OXLdDToc9DfwcPBy8HHwOvA88DuWMiDYRMph3iftA28fbWa8SJ0jYUszyeXO ugOOmdVUle+mnbBTQod26F1b1jdVjgOAC4AHPPus2699pIJc2IQNX+a1kOmL MEP/fcmUJuoULW6oIJ2nLmcHuEjocf20nsoj8ui3uZfYZpGYxbSNXSoeF8MU Cj9HbrnJIfq07JJzMo9Nbth8rMo7hl14OOpebxkPhG8BHwP+BXwR+CTwR6D/ Qg+GDgwdGboy9ORrq53M9W430m7dJR+NVzdRl9tT3xWOucRmDLgt/csljwsZ p92Nm2h4z4RD6r8L5PoU9CroVNA1oHNA37g+dVx/v5489u4972H9jCZWbn3g 94jZmQSeDN4MvgyeBt4GvqZUXrLa+HkDVU5Z0C9wajNN9lPMrH2TSiqeJ46E LKumkTHfh+41kvH+uaXtW69m0LvIk69ytetZvqnR8aFOYjY++5fSnrhkAm4D jgN+g88K3xV+K/wM+BvwNSbGpm1JjRWQf2Pr+iOz+LS80u/GiPQ8+k/fVOPd Nz71SrPOaF3Ap79a5+4f3lws13Oh70LXDRlcwsw9G1noGP/DRnpNzLRrieLQ dzkE3Qc6EPQf6AXQD6AbaCR1tblvk61PcVHdVv1mKgv/VWrxOY2AS4BTgE+6 rl48/aSojp3Juzxi13Mx4wSsTVwwIVmO+8EDgP+Ba4FzgW/hN8N/hu8MPxL+ JHzJJd936p3Xk7Bjgg++M2V1y6erkD17mEe5k2Y69KkTM7PF8wSVvarZgIZO l1WqBXKcB9wHvLfITZNb5CMmkxMbd4aY1NCfBM07m0LzKX2sw6JWfxHlHH/0 c391Azm/HqU9tzmb0q2zrrQNE9GgBAO/rau4xLmUMlvxfT5BB4cuDj380Zil d+6ZidhIvf2Wva5y2filK44onskgxar+q9vLBGyru2LA47N8ti0pIP2bJJNu 8U/amK0SsJ6/tltzPGQ4evqbFSEjCgg6LHRZ6LF7NkcJX63n0c6fa94c+yUk +qbrt4+TQWNUrK3P+zVS+NcxD06kCqnhwKSS2VqFdKP/v0CXm3z2S+V1+M0P Ambxfdw/pbQsAt8G/wbvFtRZ/djn3UjXlt17nF3bRGbZd1Y6/0ginTd/i4NC GljEgR7vGqiZzZr6wThqVTKd17X1n/KzhaKW8Dc7LUwgsfRzbrAMXyU97Hej 4p6ULjib+G+amk5bv4Rb/HyTS9dn2yR9GiOlib86VI/2yaKN188c4x4sJPg6 8Hng78A3go8E/0j1hUNGz7Ym9nbiqy5hPZedujpv0tI+2TTCb2ffL/ECKtO0 aP17hU/5ehEd+85mUfjohMUKz/jUZ2PW0AP9+OT24Jvxga2lBH0Teid0TuB4 4Hrg+S7tWN+2Yj5JvUK+uPIEpBdzt9pvfzLNzJ3jusegkZz0T/ef0FdEnW+j hPXNsp//T6eAbgG9os/c6W90NBrYjg9hx3i9m1le6YI+N2/k0BLtJU7xv7jU GT1lop21iMT+53Sf+CbIeQ54D/iOinhU80ZLCRl86rfOeGsV6RzRnGbvl0WG FQv6Op8Wk+sCs+BpaVVk1j9x1J2pxXLfBT4M/Jd7qm73GjuaSXe+/1L1BRyS zOg8PHV7OqV5C8ZWjxeR6eOdyx52c8k72/pYXF4a6b/ql5/hKOOLycNaW1Qb qd1H61C/kjy5vg+9Hzo/9EToi9AV2atw/UgZ37QZpTnl/GceDdt05eu6/slk 6drdeeown7QmbFto1i6ggP7ex3/GZhB0Mehk0Me+5Rg8Mxfy6F/JgBXC90Ia Lsj2DzNModP6I4cdes2lJy8vTvtxSUQ1bKKT8cgUqus9uK/ZaB4LtXx+19Oj icV0bdKusk+gX66625VcpWxjh1fhvopc1vKjhqqWZtD977lFTEPK3M8prRyq WsBeZ11MOuGUTeCH4Ivgie8U417E/hAzu0M7XqV617AHHV/EwxJlPGJXUO/F X5pZ6VbVP7ev1bDcM3NKQu6U0AiP9DJeRjPtqecOvRLKIQWx0rd1DqnUOdH4 gtdHEXk931g4YS+X0g5PKurckkIe+ZP0XlwWkvI7vs4kHo/Sri88nx6TLten oFdBp4L+BT0MOpiJ5kwrtzwZfwte6rupUUD8I4N/lqaUUO4Rs1rFf3y2d+vW eZU8AZvpPl4hp2cC3fptmmjLaWSx26O0jOKa2DrBR4thrglyPQL6BHQJ8Hbw ePD3sj9hz5UeSVlAi2b0I8c0pvHqdR9LcS5Vn9WcNlb2841hKz9Hns9mvp+6 /wZYZlLIM8617HwJW/C9l6auZg5jHlf11RQrKP+B1QCxmpQOXJxRnGcjw7lK Z5barkmjgqXhe405LRR5YPipQpdiCvSYoek+IoN+9HivEvZLQuMKoi32T66k 2NFa7wNLUwj+IvxG+Ixf317Q3h3ZzN5UKF7uy+ewYWclQY1zUuhQ8naPj/2a 2cupOl0pPRrYm8xm1T4qeSRcNtM3/LKIZlw1P/ogjkvJj/rPdPybJNdhoctC j+2crX0o5WETKfR6f8DlZyMZ9Lrwac6oJLk+CL0QOuG2ux7+AxOFLHZ/YHHA ED57989JZ3aPBJpuGXjI4A2fBfaYNG1gDyHz7T5q1vQ7mQ4ts413LxXQuk2W F3+38+lUWWKBRW6iXN+B3gOdBzoRdCPoRVb7ReoHZf35/lu3/WVnQql5c3aW pnYJgZ+Dr4OnIxeFnBTyUchRIVeFPNWBK8mh77ZJKfiY3fL5Sblk+rr/pAei bEKuCDkj5IuO2rSv3bJCStGe05bOG1dIG/0/RR/fk0EbSupK3NaLKUlt3iiO fQGliHSnqE6uledjkJdBTuZiecxke9bCImzTjKZuK2Un9qvr9FFPIZeAdM3p q1pYX7s1Q48NKWOORSdW33+YTch/IA+CHMhCTu9vEzIkJJUIlXsOrSKLSV1b fuqnyPE98D5wvuHodx3axyTs7quTYzoF1azio3b4rKAkgh8Gfwy+GHwU+Crw U8yyzuf+iRXSCsG2ssWRjaQTom/3vlchQceHrg8933Cb1+uvNkKm+ueJ0rNV fPZydMOmqVrJcn0ZejN05mln+MWD3gjojllvo+skoPwdb68FZsfLdVjostBj oetB54O+B30QeiF0wuvGb61nnilnG0+XeX3f3MIWXzx6I0WYQh1j/s49OYVD Te93lDmsFtNM+6/+452TCJ/D9/D5tyOqS5RutrAR1ptiI3qUsRDx8FXGk9Lk 38fz8Jzl/Q+FT7wiplGGU+5fU6onH6NsccnzFBIoWN0/41hC3zWHuZWESehh f43rgrfFFEbdBoOiS+jD33zBQSMxnVifeGv4zCpKdzr255hVGRtUvr/LTShh lx+9vb41Jp/+DdI4Zu1ezoz7r1OyeyhhHvPUS8cdK6Bh2of8z4yso0njHqj3 SRXTy7xdq4Y8S6Hpmk9jcjpq6I0Jp+S17O+bpKI1NEvGm7yz1if3eVtD358v O7xQVUIbfxmpJm1JJZb+dIZ5Ti05xbwcM7CfmLx2758mKSuQ/73xHvj7u0s8 dT2X1lDg8prDkybIeNmYl4ObNOqp8FfzgNItjUzBwWPEBQUR2z9v4+y3a1Oo r0ZSevVrLmvQutJgsK2J5b7rtSpIt4gMN066ayvmsjb34A5DkybWf59Td8Hq QioJbM7NH8shc/092v/J+r325Li9RfezaK2Rou2b91y2Zd/ygWe9Rexul/fa 92pJ5NFXceSWNXXMK7/K16CSx/ZdOzW5uYtLQ0c493HLaWT5NiYuYayJxbHb u3+/SqS045N22qpy2QP7uIGdrSJ22GFKYZ+dyXT1oHCk8i0uCzOyihq1SMQC T5am36/PIrwP3g/vNfrU2stJRVzWk1moDbUSMq/dwa9u9SuT7wf2B/uC98R7 432x39h/7Dv2G/uPfcf+YT+xj9g/7Cf2Ee+P9cA6PFvyeNOCLiE7WiTOHKXy /z5g0eBde4oI64v1xjrjPfHeeF+cA5wLnAfsH/YT+4h1xz5g/bHu2Aesf+l9 ++7754pZWaK35/1zjWzA7PzxOmeFlPtmoW3QhEKmrvM2RiO7nh3bGnb9+rFm gr4GvQ06m+qq7V3nblyJbzkwYPQOXSnzlRiNqU8ooSXugmkpMwPZ6VvJ31e0 tbBB2xpSYs6UEfQR6CXQSaCPQC+BTrK4b+jSB9Od47P6vwpOC5My7Vqp3nfN Imr9WmSlnPyM3Xqummh7QMq6Ey7uKe0upl6jW7bR9adsQ+j7R91uUhZeckHp ZncRmZUo9La6fTH+ltq2nLU/pOy2157ZF1cU0OSVx+d6sSds/HWH5mtvpIyf OmaA+zgZTlnND6qa5seU5081ss+SsuXfRw49uqOQ+Guzcq64OMZX9hC88Jze yqSZPaROK3LpjY9Tt1XUI+aeuq+kkStltSpZF+2DC4iN59bEHXnIgh026/j/ ljIDQ1PfmAEFdM7tquU0RYf4DG+TUXcMW9mLCsGf8XezaOVFx5ErNH1Z25Mr jpv6tjIDBR89O+V8qvpUHj5gygP22CR29NHRrezNwI0qtSPy6HbY2+POzXbx BRbVT05atTKb4e91FXdnUKhw7KqOqffZmjM5TWZTZZ/vU26kq5VLP7tPV65f dY/pby4cdHlBK+vbv1979eUcCrp0iqs1xTY+tsI4rv5yK7O8F+a3zy6Nvizj HfO38GHbMs09+61oZQ52Qc/XV2XTfw0xpopPvNl6vu/nRWtb2fqOJw0eG7Op 66H3GBoWwBqOBk4eukTM2pPmT4nN51BExr3NkRWhZPMzsPPhixaqbLh7y7a+ nDZHrfob03iXKXVMeTVVr5X5HG9qUsnKosdNuunHdc/E399ts/3K/VZWXh7v /dwhRY5vgHeAc3YIxF+W/nvMDEu1exgPbmKaY8s/W4/g07oto81vzctl0fpx qUIun/UcIV31d46AVoYPnXbqdw5Tu2Dw98VYLjutEaBz20xEA33LCq2np7JF zQM6637XsjW1nWGv0sS0ueW6if6sbPZkXohkz7AyNj/3oqPB2hYyP/xav6dx FNN2sKhXDC1kKyztlPcESOkgSRRel+dSmdkCVbWgZnow5YdPj+EcutXjVlJQ twwvuLcbNRTx6FF1o+ucdCFZ55zNLQrIJBeTN513l0ipI/lJ1d/UAhKn5Ty4 +ymVoo4cvZRR20K/dsRr/6ISOW8Hjwd/B28Hjwd/72HmtWvyjC9ktsNsz4sO KRXMyNAr9cohycZOtycfomlHwJLge4dbacqHqDufr6eSyroaG2+PGJph9mbM 3FNSUrpsYLX6WRG5XG0wlhzIZDMXxI2IFmczzoEZZt+9pQQfBb4K/BT4KPBV 4Kfg+3genjNLa0Rp3qVaGrbm4GenbBmvDCje/rmVQ2aP633+1FbQ+dwbzcMn 86nITn14zR0e6V/b7v5ocAHtfjtm0NfT/5/7TI5dvaqYlFwv5820LiK1AU6e 1zcIaHJU48bffflU8dJoR/avXGpLG1MWpdZCSQfejnteVkqz/1zJPmyQTV+6 vM2quELSPGhcVDSbR099233dhhawVSvfvJ3yrYUdWZq0cXhYPt1R7606ZH02 26Y8MNFPxiMtL5oG/v5XTeorV1jN6ZPP+nsuW/nURMqyVw65memZReCr4K/g rYXGhq77e2aznxWn28UWUhZ25tGPS7dzCTwWvBZ8FrwLPAz8C7wLPAz8yyW5 bcBk2zQmoxA3BjdI2QbpMdc9vzMIdR99APUf9wT3BvcF9wH3A/cC+4R9w37B V4DPAH8BvgJ8BvgLZ33rVvAd6uhzc6+og7sFVOszZgBvdANBT4S+CF0x4IJ6 p+aICtb/Tw63Y7+EtfYrNF0xu5CgM0J3hN6oO2SLI1dawm5EzC6aMaOFPVZK 8jvXr4DG57fp2tUUsTEpeh7j4lvYcQN3k/tHcuhhQ77m97pClm4UOWzdnRaW MGhjyZ28AhoeenB6WP8C9rfv2owlL5qY74zUxrZUrpzfgu+C5yqnRNk5DSkk crh8tLKmhbY/jjh4tTRPznvBg8F/TSTVugNn5dMmJfOEe4+lNMZK37/SO0XO o8CrwKfAo8CrwKfgN8N/hu+MOoW6hXpVHRT8eOE7DhkOmWfn6NdAT9aJ9DXr eHKfDL4Z/DL4ZPDN4Jfh+3genrMxUWvvZA8u29i7v/6lY01sR1LBAKFWEanu eH0x1b+Bbbw1IPHnuSbmE+n67PnRUnL+NDfO7VMtq5+crbhojJh9cR+1V823 gE6sHDfq25k6pn3fjM3RbGZmb4cZfDpdIteLoR9DN7bcOG6zRVwlrTBJ51ue aSY1c7HJqUWVNI7r81tpRQXxV5zW/dUqkfWt3s3KOpkktT28c7xmGa1z3u/3 8WgLOY/Puh+Vmy7X76DnQceDfgc9DzrelqC0oq0qZcx5S0Sep1DMnpx7s7LH 0jIyN/DbNUu7lBwXW6r5HWihbdknxSw4m17tO7Dj5sYSqvA4Wj7FsZkmuHl4 OIXU0sOjJ7vVr6WzPvrrQ6N7cNi99+OrpMPFBB4FXgU+BZ4M3gy+fOSxRsfV FSUsbFzv6dJ02Tk3/52q5ZtO4M/g0+DRyCUgp4B8AnIJyCkgn4A+h76Hfof7 jPuNe41zgHOB8zBv8qB1G+9zmFM7N3CXKU+Gi4wP1Ohx5bo/fADo//o6etcP bWwgUa7XAl+JiITq5ZcS5ufS4462QY7+HDq+WVR2wbqZcuumBUdIsynD5vIT y5I6+nZMZ0bJDDHdzNk0cXNLttw/gJ8AH+G1jl+c9+kGUokweKSXKaJHfUYq nXqcS98Gh/65o9rAej+7/rFFoZmZqK2WFH3IpbOHeh3IfFnFWNeNsj/2Ejbn 2hry7kqnXe+Mb6zNr2ATiuZa5bZJ2OZC06158WkE/RF6JHRI6I/QI6FD7qvo Yl0V1azNZs+DrgoxGxcdl6/hJcMZEdGjBMuqqfFclaV9PxGdVfxrvGNsrVxH g64GPc2/Yu65zudPWfNow50x2yPYNO/RH/sJWynGd0psz4vldOvJ+KMzDCS0 RUkjfP65Igq5/tdSdXk1rbed5bQ+U0xKudYWL7fL6qfztD3LOsqp6tTf1X4L WmiNbaWOkFLlOgt0F+gt4AngDeALxTqplJct49W5Ka+HvCyjjFV9xjosLKMB cf/NmzKomc4JD/xTmllOcXUaM94OrCX4yvCZ4S/DV4bPDH8Z5wnnC+dqZqzA YG1sI0VvDH0W7Cqk8G/hij69iuT+H/xA+IDw/+AHwgd833bldm9bHk0ZuS+/ OUZAvb9dP9y7qojgM8F3gt90T7hm0LH2BnbRun8IuytiiqM8r6efzqbXs1fV /jrewJLU9y6xmdzMsqbZ9b1slkEe4vu7gndx2JdRFfySvGYWWrq/n8WHDIK/ Ar8FPovj1IIE95lcNnKsUnOBh4ipB26pyHfNlPsH8BPgIxzo0+Pg40d1pHy+ f+g3Wf15kOWe0ZpXRNceDIxMqWug+UfWfXFtEJH25rdW1x6ny3Vw6OLQw69+ WPW2u6OaAqa33l8tq4fL3u0UR+4sJOho0NWgpw30u5IZGlnF+nf6fx9FEvbz rXfqw9BsAt8D/wPvA68DzwO/A24GjgZ+Bi4ETgQ+fCLpf/fKNTH5JXbaK74t oIZ++UYOw2oIeAL4ArgCfQh9Cf0I+439x77Dd4cPD/8dvjt8ePjvOH84jziH 3eF31qxfxWPbc1LXBT8WsqufvjrJbgrBp4RvCb8SPiV8S/iV21d4tFTzeezL ZUXT+2IBq1n3/O4wx3y5bwQfCf5RWEjFWKWHXBKarjKPthLRaYvv5dahadT7 luIO9quBRlc+DLrJRGRwdBA/LjlD7jPBd4Lf9P3AGLM5HlzaNmx26rCpIqrT azNrdc4mK7f38eNG17BHAXdO53Aa2Ifa4y4eVwUEHR+6PvT8DTN9Vb2cOEwz LOreg5Zm9raAxSXnp9AOO3Gx3aFS9iesp7PCtwbW8Hmbvaps3ftWHFx0U5HD jKbqx7ssE7N/D+abP01MIaNJbY/+3apl5zNaRt4Y08waJ9aLFLeWEXwC+Abw Cy6ER58e4cFhra0fXml+bGbtf7SS387MkOuS0CmhT25YNvQRb0sNOXy+ND7u p4gODU2y4NtWEHQH6BDQH6AvQG+AzgB+Ar4CnoL8EPJEyBEB3wDvAOegb6GP oX+hL6JPoj+iL6JPoj92nn/6zcS4mWIlVytSNtXT3zODsxIDigj5D+RBkANB XUOdQ33D+cN5xDlETgK5CeQlcO5xD3D+L1c4iKKH8+iXYcBsD2UhBfRcHzCv T7HcV4bPDH8ZvjJ8ZvjLOZMueoff5NGALC3z/wwEdG6O+GbfiyU04Htn2YMg Hms/OuKEzWI+uzSvsKrPjgq5zwffD35fv1sZbb63ZOvrNGj+fD0RPQ+KEN9x LZT7TPCd4DeVdc78dXwGlwJtuQ8ffxXR72kxIRdckujezth3ffJkuPnRj+ke HwVkmeT2atbgOjKZ0O0+ZnEk/Td4VbXxzgTKVFh2d3FgK21WKTE3mdbAMjYM bblBImYam3e434piWpb7Q0dZ0sCWjhjk3m9GM0v8OszKSzeRoFtBx4J+BX0K ehV0KuQXkWdEjhF8GPwYvBj8CnwLPAv8CnwLPOvfQqc3330kLIdT79N2tZjF 7Ns3a+u0UkJ+C3ku5LiAt4C/gLvQ59D30O/QR9FX0U/RR9FX0U+X62aMNVNu Zie9ot3cnTlMPMp9VsuSQnkdRF1EPURuAzkO5DdwnnC+cK5wnnC+cK6QF0F+ BLkR5EWQH0FuBOce9wDnHz49fHv49UonpFOWmfIouUgwZK5qE/15+GXFX9NU OlTeptowTEBRB8cFRfoJqKP5lKhDVm+hX0PPho7tYniSVZU3UtCxtcYdbk30 3enz7R2TUmmA0nbjLwaVdICq6rM2c0jZI8wg6UyT3P+GHw4ffPzapRNtzXh0 9rn0radyE7mXbr/xwDaNBnvy2Ie5DSy+WHfr6NomFvZjRWZjv1I6UxB6btDF cPakN4s7PjeaLSkUOKhlt9LNb5b3zoXUsfDfr6/e0eSziJiPLrMtueS/esiM 9umN9MxgioC7QkTnQjU1BqsmEfRW6K/QXaGrQmeFvgodB7oO9Bzrj7M1fWXn +dyTQT67XmezlyvjgzZOLCboONB1oOcg/4o8LHKw0BegN0BnAC8FTwU/BS8F TwU//eez3HFNuoR2v+GY5/Yqp+ry77cai/LluTrk7JCvA54DvgOuA/4DHgQO hM8E3wl+E/o6+jz6O/o6+jz6O3JsyLUhzwY8AXwBXIEcD3I9yPPgvOL84tym f9xmqinm04nYp2OKrQVUuMM45f6mTHlOBbkV5FXwOXwPn4ffD/8fvv/n5Ypx p/py6ZJ+x4hGAZ/a6w9Y3PCtpfEGi/JPhjfSBa/girzKJqocp/nr5tpECrpR JfFYzqe5hmMmzfMR0oJVIbmmpQm0fEzCnb6jG8nuZL2eQg8RzfmzzrXCMl3u E8M3hl+sm2Jte/lMI/Wa1ItvcqKJlvm+7lPSnU2VPTc4TZrMY08qXH9Om9XE 8t66qPW9mk7wA+APwBeA7g8fAPo/8vfI4yOHj/w98vjI4SO/jjw7cuzIryPP jhw79C/oYdDBkG9G3hk5Z+gj0Eugk0AHgS4CPQS+LHxa+LPgyeDN4MvgyeDN 4Mvg7eDx4O/g7eDx4O8Pl1Wfzm4Us+VD377T6l/JwuN7pTQJi6ilPm214X9i 0r+5l2mcqKd+4mWa5S6pNLij0ygwrJk0uXM7KKOe/lPc0PC4PU+e50O+D7k+ 9d8nkifWNTD9Pfrvny6oZtsvidbp5ArIfahNfOStJiqNuThYL76RXkZsjCXX NDn+AB4BDkGdRd1FvUUeDvk45OJQ31HvUedR31HvUeeRd0H+BbkXlZMqr3d9 aaR734QuT7l8Mm0TaSyTVtCoJSWpfd/yWB7vxNDgYiGbY+bsNPRwKv3Hn1I5 YqqMz1QeFqb5CpiV+6lZv+cmk6tL0/i/O3iMZU5ySdjSxLi2SzcvMUsk5CSQ m0BewubQpWVlWTyWf3yay8NGIRtaotceYJJE8Lfgd8HnwtwL5mAw/wJ/S+53 /c/ngl8F/wq+Ffwt+F3wuTA/g3kazNHAd4EPA/9l8qNjRl45UvqQPflFPC+W ykb1OXeyIJ8wB4K5EMyDYA4EcyGYBwn4wnXrVSxhT3VN8z/tKmFhG/285n4t IuiA0AWhByIfj7w8cvJG1vfVyvaLWU+XbG7nuDJ24t6MR+phFQT9CHoSdCTo R9CToCMht40cN/LbV/xsD2/xaiJxjG6i3Y0q0tnh7RGnU0+T9R5wHZaKmapP Re04r3q2MsCht9HpdHkuHDlx5MOhO0CHgP4A/gY+Bx6HnDRy08hLgzeCR4I/ gjeCR4I/IieB3ATyEsD3wPvA+cD3wPvA+chHIi+JnCT6B/oJ+oiS+/zLQwsb aHDsnDVnR9eQcdC2W02eAnl/Qr9Cn0J/Qr9Cn0KOELlC5AlxD3EvcR+RR0Q+ EblE3HPce9x33HPce9x35N6Qg0P+za/U0Jo3XsCeuK4yUfMQsFSLnQrifSlU 4Xb1Y78iHsUXqU2tGCqgIYFH7izbWULI1SFnh3wdvo/n4Tn4Pp6H5yBHhVwV 8lS090qidgGftl26PCp+tJD83l7o3vc+nv4s9FvitaWVLenZNN2J78UCaiJf +8/NIvjQ8KXhR2MODXNpmEfD3Brm2DC/Bv8Vfix8WMx3Yd4Lc17w+eD7we/D 3BfmwDD/BZ8JvhP8Jsy3YN4Fcy7Q6aDbQa+D3gH9A7oH8ujIpyOXDl4Kngp+ 2rjortCgo4l6Tt3HmWxdS4/Hfez+NapaznvBg8F/kcNGLht5bPAB8APwAvAB 8APwAuS8kftG3hs8BLwEfAS5ZOSUkU8GPgNeA04DPgNeA05D7hk5aOSfgQuB E4EP0c/Q3+R97X95X+R/kftFv0T/RN/EOca5xnnGnADmBjAvgBwwcsHIAyMP inwocqETHvvNvLLrPk11N3lv4x5IDs1x54e1t8rrO+o96jzqO+o96jx8Hfg8 8HfGDJO0ePWJZctaLeeZ8hOYdfeBMFW3VgJOAm4CXgJOAm4CXgIfBj8GL8Z8 LOZlMScL/RF6JHTIlmFVHbGrWmmbRd0Kz4cfSOHF2F0P/2YS5lQxt4p51Qt7 977XkfG4uJ7anH+hmWQxr0BJ9WMpXQ3b9LL7cxQ7/P33R4cjElYTM2jrpqYa OnjxeMTyHonMfEBX5gNJMztZdtnaNplDpiYmKrVPU9jMb4YbSi80sYBrT4Ic vzaS7fSIwTtvJtGzN+l6fJ6UJs1JyNaKy6ZBPInaztWMRl8dkWxpK6Utwqcv oxSK6O4hcXyHbRQ9OuTalW4mpjxpV6rBdg59LxrZ1tWWQD8Oei3/M6SVzk2f vIbzIJNu7uxWDiiNo23m2+q1/knJ88s/yfMdOfT4zA8Zi4yiXy8DbCL4LfTT 5s74r5PKqPdA84kJXZE0MeXbtuXFUhoSs7gzfU+BfL2wflg31FPUV9TVtQtF 78/qlJNExyI3Xiym3a9Ns042ltDNzTaXFzuX0n27qnUnzosp6N1+37/JFbTL eYmGonMRWXoH37d52Exzy9/0uXewjkY/W2Cop5RG5Vv6z5j6SkrSVa79durn UmRs9eW+1zLozYfMXHVuC3mXv2qy2lZMD9S1nQViWX3NvmLb9UBKXT+3pffJ y6dBdzYFP3ZLIcnabcfXPBJTbEh19PfIOjo4gyeesimJlT/J7DtrWguzro72 rk2tIL/6sONS6ygyPNvM48vqfe6XSsNCz1TKC84JOaqQxOzvb4uL/Cpl2oXW axLXZsv9MPhj8MXgh8Efgy92a6SFeczDMqb3MzQ2a1ALyxa0KDwsyaGOi/VM 5Wwp26z5W39Rg4S9eVlfq7q5kF5oas3c1VHEJm0b6zzyjZhlBK+6rC6ppI73 m5qmbiliVvkrp9UmtzDdeRU9B1vnys8rzi/OLfKCyA8iN4i8FPJTyE1demLU 9iiKwxT0A90f/xOxyUM+K6rfK6DBjimnp2pxmPI1/8Xjc0QsX3ZOPtoWk3Hq RFf7f7Vs2pPmN7c3i9j1jv8ulM6uJO7x5ek+7qX07uiJp/RLQikvHm7d+LSA fq/rPSBZht/an06ZnbYslmkbCPcMc+TQgdhxH1ycZH3n+WUnikhil8InaLze 0UDF2gZBPO8mNofH0c9US2dBFb1uFIQ00lyhh6JWcB2l5bxW3VHUTEsvnpFu jyggToFS7IlDFYzVvIveHyphrl5/Vltr5xLuLe4x7q+mSmBr0Fwx23Lv5KHH gxn7M+JZtpc1h9p1zYeH/xKy+/zbHQPXJrEgM8PYrI88ap3n/mTEHA4LUE06 GLChma3KnNVh8b2AXGquG38xSaGigo1SE2ExSe64TdzS1ULA5cDpwOfn08Id Q7hV9NlycmWRp4RaNoWpxPFT5PcH9wn3SFVYWM6NENOFA2+mdppVUNVQtfbq vBL66teixMlqptBivRPXPlVSbeUPUWpMOe0dtbyi7/1GNinl5trbjk3MxmNp 7+THmbR1bknxwHEN5NE5sNZlfTMtPP/nFtcrU86HwY/Bi8GHwY/Bi8eMXjlg xK9aNmzynmrSE7Pzx159v/wmV57zRu4beW/kvZD/Qu4L5wznDudt/5YPPZfa i9i5XSsmLXnHYa8XR0oUooqp96ClTZExQub64bnC2b0cNqT9wpWqrGq6b2GY vU4/mQkMNvSf3JLJprm9e/vgl5SiDfre3P+rmfJme9aU29ZQ8MOfn3vZFNOt hQVfXAeJWNf1vmP5WVyWe1u4NWVFFk3Y+efTUUEj6x5scO3bHT4r/Pdzoo57 Jb0x4Sv/lPV7f/fkEXnSJvq1q3yBmVsGBc527OF/vYHOLZg20ba0iYa0je38 9K9YjpOAm4CXPk1Zpt9h2sBuTd/w98i1ZnbjSe7jQs9EavVLOzXgXBOt+1h4 xmPmR7prGlT44gyPUC9QP1A3XlYGjOljJ2FlbwvH+g4vZwkRag92dhbSMTWN 4n6eInbv8zG3KNUy5my79VXa1XrqkBS0J12V4dyTs+eL1YSklfHJc9D2FLr5 bkGMoS+Xknoal1h5iWhP8U+1tpxkeX9Cv0Kf2u7S915LupRW8k7YfVGOp9A1 lnufPM6n6MScQqU/EvpltX0M3y+KPi98PaDWu4qOX+kzdt1rKZ1S+Ti4vC2F dnU/MH8ozaUflbVOp/VaaEW5ze7Q6jRKra3Z7jChnKbuPGSY7tZMWSvU/13T 49D8W8Iluba5lMyd0lAUIONZ28p67fr2//8fk+gpC8NT5PwKfAs8K5Bm+ff8 zKNYhcQr/3o20Zbg+MlR2QlkJ/aoWHyjkb3boq281qqJ7X3oU3iOsuV9FH0V /XTS4oPjrae20s5zxy2c38WSZODL4TOEmaR1hae41U5K+hZxC86/+kgNj3Tr 35QV0ZrjCef/M5dSuXd8fa0wiQT9aqZpRheS8g4Vs0fb+TTRyCDryc542hA0 J7XnbSEhh4RcEvJIwE/AU8BRf76bb9yrKaKY5n+fLlpwqfhlxOObajmUNL+0 pe3kAxluP/BgSj9vtuhf7Wzrrlby+HrnzCAZ7zLo5u6qVxay9vzCV8VOycSb lzGt+GIT27njpdT+L2OBRXNNijV48hwJciXIkxi4jMvZEyUhfr+JHlqWlaQ1 YdHnxKQMOY4ErgSehO8LHxj+75etJeXC000kLE13zlvKo/cxd+fd5iXQuKsr 0hxOC9mXKqPpRxfw2bCw11Zmc1KIZyvMG5bFJ7cuN9fcfXzaHml0ZdrqYrp/ q31x39tS6qlm5MSfF0rZrTf4FzKKCLlk5JSRTx58ZX6eYDGfJi/72yd+cTLN +uaz6sh5oTwfg7wMcjIKzp5lldckbNNTQ41hztXsx6Hj7c3nkig7dW3bf5/F tCUwwCwzvI4sDJ34QwsTCT4ffD/4ffBF4JPAHwm53V9F820pM1L6dLHf6xZG /Bsmji4pNGC7wrgffctZ73sL8hrNWlivgGO5AdtS5b8Pvx+/17Zqfa53bT3N LbSQWJmLaefplpHJfxNpZXZ4cp97zTTutvKgPReLKat1SKJBcS0ZpI3Pb/QR 09ab/tcGXK2jzX1UfWOGpRH6Mfoz+jL6Mfoz+jL6Mfoz+jL6KPoq+in6KPoq +unvPkP62ps9ZcfKnxv07xQxkqidagnmyvcV+4z9lTw71af8bT5dVFnQ0PSh hdZsOLr2V1oh/T6rt9VaN4faH0aYNm9oIY/i4LuWj2T4gzvr3KXe6XSpv2XM lSIxvTnVXXrWppYc/urXDfuVRSYd63v7VMqe41JwMSqqiJpLuidJ3dLI39RI c/yEFlLPHLD0Xp8Kef1CPUMdQ/1CPUMdw/1HPUAdwP1HPUAdgJ4IfRG6Ivo9 +j/6Pvo9+j/6/o21/r2FqoU0nncvaqZ9Cwlue9+0nVtEwdey4jceKKLhgwto wQUJld8ckpPjXybP2SB3g7wN/DP4aXIfTcnH81xCDdMytRzrkJDD+t2WLgl/ LSbk9ZHfR24fuXDkxJEPr3EZ7tNaWEObBjbvVpXhUcPqHUYByaV0dobVmusj a6kjv+XuiRgReSdPcv3mVkF7PTuPu+jW0uiBfwsO9G+i+U81qvKs6wj+NPxq +NToi+iT6I/oi+iT6I/gb+Bz4HHgb+Bz4HHAJcApwCfAJcApwCe5Gc1Hj8pw eIV7dknlGBFzbddU3plSLsclwCnAJ/AL4R/CN4ReDP0YujH4FfgWeBb4FfgW eBbmHDD3gHkH7Af2B/uC/cD+YF+wH9gf7Atyw8gRIz+MnApyK8irwKeBbwO/ Bv0G/Qd9B/NLmGfCHBPqAuoE6gPqAuoE6gPqAuoE6gN4DngP+A54DngP+A5w JHAl8CTyCsgvILcAfAO8A5yDfoP+g76DeSrMV2GuCvUL9Qx1DPUL9Qx1DPMq mF/B3ArqBeoH6gbqBeoH6gbOMc41zjPy38iDIwe++o3dt+3b6shrq2eErq+Y Zo5+uaSuKI0w34V5L8x5gQ+DH4MXgw+DH4MXYz4E8yKYEwE/BF8ETwQvAk8C PwKuAs4CvsL8GObJMEcGnQK6BfQK6BTQLaBXgLeDx4O/Y14F8yuYWwHPBO8E 3wQ/AV8BTwE+Bl4GTgYuBE4EPsQ8G+bbMNcGPQX6CnQV6CnQV6CrgOeD94Pv Yx4D8xmYywD/BB8FDwV/A5+T87j/8RbwGPAX4EjgSuBJzNdh3g5zdtAFoBNA H0C+H3l/5PzB58HvwevBA8ELwQeBX4FngWMxp4e5PczrYR4P83mYywMeAj4C LsKcGObGMC8GHQG6AvQE8HPwdfB08FXwV/BW8CXwJ/Am8AfwCfAI4HLgdOBz 6GXQz6CbQV+D3gadDf+uHP6dOfz7cuDJ4M3gy+Cr4K/greB14Hngd+DV4Nng 1+Cx4LXgs+Cx4LXgs+CB4IXgg+CB4IXgg+BX4FvgWeAh4CXgI9B/oQdDB4b+ Cz0YOjB0Xui+0Huh80L3hd4LnRe6L/Re6KHQR6GLatc+ntUZ08w+ztUZ/rcw kbm4OkXn9mygXdf+/DytJWbP7bd7Xvz0hZW7zYgL3MchpfAtSXo5YhLkFuc7 XCuX4YBjnx9pl9KFBWpfN42XMPHPN3+GaZSx2tCDaSo9S2nN3pl+IoMWGrIv 5PKX+UXUR+19RZlGEX1MUzv8X6Rs3b84JJZkF9Mk4dwp3xaXkNWmmW/c1zSy 5KHP/ynPFbGj1m+HTHqTSMZps010jjSyDb8rn99taGLur35OHLY+lQ6obzqi drmJ9Y6K71re1si+Tp6n4XAkhVxvTKidE9nE9IMKklxk56R07c+Tpu/TCM/F 78HzrZNG7/q8VMQc4nL/WmZymdbtC53j09Jp/syZv9c+yybLoYfPHXvYQpXp E7WCe5bQ853rVnvn8lnkz7sXr6UWsGt3nSvT6vh09mVcZdfORtbfw3Xx0OpC NpyWe1/nCOl3ltEPDUsJeR5vsL9lU0IKvkYvw2Tr5lucsTd1sYQOWTiRv2cZ lQaM+vBgXAmF/Rm+ruZNM9u94MS+4xvq2fPUO5fcbAoooYIZBq5sZg9TI7JN NnKYns7Qe5aFBZRWp6YSadnCFqwt1+j7qoSpfDRKqRmRS0fM1g9snd7CdDrW q5sPKWPmgU/2/hPm0B/jya+kMlzM5it+XmorIj36NP/fvTLqmF148dfOOmrY +mEgL0xEU78azRIvKieVO7oPdryRsA9J/w49jXGLV20d+UDVsoauiEO+/5sh YRkrt5/6fTmU6Sm4bLJfVkdNI633rL4nZkVOoZbcn5+ZetuyEcuy6unYkeoR D0NamMnoqsoJ/q7xOgsdB1QpV1Bg5MuXPXRk53PHvPvLDF4yx9T6KIO4SnJ/ dffL7CcSduG99yeV3I/saKVUY6JaDZl+vjWrJEPC7Mfl7PtvdQjT2LpoUUV2 Nb3o/al8/UUZrtiUZVds8orZjToxTPFnDbU2Kio5v2hhSY7n4jv8X7DvP84o v2wvpznbTLLH2Lew893O3qITQex80yY9TmEFPQnt3jvTooKVLT53+dT8Uhap 8EI/8KmYTEsmrEjnPYj/VTxm+gbHRlakaJncbC6it84Wk7XflDD1wLWj175u YPsmGF7b79tEhzX23k775B0/YkTY6XPzm9hhz2fzF/7g0alg/sKC1gImuSaa Nz2Rz8Y7ZRj/4/Ip5pvipKc7PeOz1Z9ELGpoZotsukd272mgUaazZl1xuxVv Zqec42crYdvyri3qWltLD1cdTRzy4nr8MImuTszJFvb58s8tMydU0n7d5QPi /K7G7zfUK7YbKmXrZk1wthCU0owEzTGcHk7kcLN/wPBNYaQekWyg/72VvuzV 0A2cZR+/dPYd7rjDraxzQnPu1CcZtCXkffNuL9v4vmrxLsGOrawsw+/RpuY0 OhKQWbRs9tn4hqB3gea3W9lOF8e0jBOp9Djf55VjQSPbuXv+P+GiQqawdMPS Xn5CyvX0WqClxmEP4v8V2plXs8roETeqezTRsUf7tBqjy1jmqfar7Zdr2e6g aMWXvZvJ/nBlbadFHr1o3bRKS9BChiqu5uo9CqmnKHi6r0c2baCwGbUTpHR4 SnP75SAZ3vsk2f7SQcjeGzlOj1HIZhYbVt4eG8aj0eULd6U4cBjHZtuS9ogi Njmqdbxxlog+zda3j2oLY6zRudr5SjKbcnDJgO67rRRRMGXdwuUiFvvV6/3S /FQW0qN36IkWLln2GW7SmJHHUhYm8l2qPzK96OHWn79K6USPuNVOuxupar4W Ce5W0nLu7ulTBwho3LDv51JH1rDnuvtjzwSI2cSsm+uuleXTz8pfDxI0K5n6 0a8D0u+I2cCHhmOC3ErIfkHn3vM2Ihblo/Yn9HIi0wv/uu6PgEt3Y/q9H7uk mE54KmgbmiRQZFxe1OI1UvoTVnLh+gcRXf2v0TSqs4pGfszJXP21iqLTH3fE FSXQV73BlCvDyR1xq1MSZXhi6p0bh/OLa+jekVEHI2LFVGlvKy08m01OI1pv OA5pYvHFT4Pfzo5lZ0ICqzYV8ug0s15vvVBI0pC+Oz98yyarlrnjZ4p45Hxv kt+wYDE57j6lqDGzgs50aXuqGZTS6xunw9c0cilJbccHl/QmOpDd9sV/fi65 e70R6/VoZB0LvYtFRuGsdahFyPFgEQ1ZadhwnCRUNcfCpOp4DuXy5lr1v1xF J21UziTzxfTlkvuRKUUlxPlnU3DBupxmOf7bY7s7k21rfm744VYumxe7pb/E UUrflv2NvP45iT370uPpiritLH/7Hk5tcCt9fR934HRWC61UjOsUq2TRsf4R s4vMi0lp+w6nnr8F5KqqFvwnPJtsOIrb7s7jU5nNAp13RgL2fIbJ35ff+Syg j2vRgHdZtGGzt7JoJI9+bmhwvD+jiXZfMrKZuzmDek1Z79rzbhUND3E86Ob+ nhYY+vjm9m2hF9rbCt9tldJ9zzGL73umk3L7grj6jwUUOq384aqKIjr92m7b 7kvvqd98NTXFK1Ky2fdMdHlXHp323ZVglSLjNVX+cc6GUvJYoLixz2UBzT0q 8jlRy6eXJUMnHF+YSYPPbncZvV1AJe9uvrV9FkVLXv2bsTVeQAuPfkhZtl32 PJVNqmmzU4lW1e4OPV5Ipleu6uwdK2ZD9IMWcf1zWMaF930f1tVR+/SbJavD mii1VFlLdLyRQktuLznxLIM6Q9p0pSYCZqBUqB5uy2dzb1xRmT+hgDZnvPs6 qF1ENxr02mebRtMj7Xi1n/ZcsnN4MWbWbwmt66W5Y/vcJJrWbFGXHVhJE93z 1pbOljKq3/TOPjeH9axK5o6yzadkm9u6AyLzmZq67r0TozLY0FyvpQ+OynDh s30pd42bmPmjg33LtjYy7zuB2gHFedS2ZfilyIti8lkxdNqw/6Kox/U8xUA1 Dr0XqhnmmFTQjnbznsOlj+mmfYMo714LPfL/can6ppT1iHLo+v02i42c33U1 xCKb+jgrzo02bmYR5bzlm3UamJnVhGqfsekUV/78wJHhEmru8/NG7IdIejDO KrtSp07Gq0coWE97TepNy089VXjL0lO5z/cLWmmp19mDHt/EzOHCIuc9Tqls qZJC6aF1tbRD8Gpo2tk8GvQtNqe7ZwpVVOf8xwuT0qlzczMWL2ygbcFuf9qt y2hFpPfH+luyvrBsdMbIHf9H13uHY/39f+BpSKWhFKUhUtkho8SzkFlCZFa2 0KBSoUUaQkXKKFkhK3skHHuv297c7r1DhMjv/l2/u/d1/fpc37/O1aPidc55 nsd5PJ7n+XodCjq4bVusaMUE6j2cIm25ow4+BFUpH9vOgifWRoKWB7Ng5+6b X4+6toL/vVshDWE02NMn8eb66jEoeH+8CTSrwW1P+Ke6Lz3obzuz8m5VhyAd rv2War0i2o6Ggd6x4DuBZm1utamxyKD6S8125GstMpbfVYQ5RULLM7kP/pwh QCnTlJzZFo+a3h39MRfaj8pfvUmeeMaABy+zIpV+TSBHCeUWW38M0jAO2Tam RgaSqMrabykj6G8bdDF6H48UGVY6eCaphvYgH9/iRqNoLBLWefv53i0yTAf9 Ef96twXaqOUqjykMSN758kP6dwzEruuw8+NpAFpfrkiaKBPurHqWW92DAYoG U+2TKAndPXglx7C8Ga3bIdPdvIgHy9OdYw5Hx9GjqsNvms26kbzDeCQrmQLC aIeb1+8CqPQM+613gx2vqy3jf7cyYTBIkr9ghoxkn+VJhojWof4lKqpUx4Fd jFLZqO4QurZq3xad7zQ0qJH89GxkBwhJ5Jd2sPrQhq8TEfaLNLR3/x+V/oou 0Al9ocyXTkG6eUvP1mtWoU8yFdUHX02AnEDhEdO6AnRMXd2yeqAKtcWFbkt9 wYKD+T+LU98NwrWsgvjFDBok5u1furu+EwIToswMuskoNmv9RdhbhnYf6tQX HsJBuwa7Q6tpYLDpC6lIcgDknB5/32nQB4oyDpaDERPgRAgMKaWTYTmlxdxL qQ2+40P/JF4noBSNUQG1yXzkWZcjovCJBEHGPtJvvn0FIyq/zxeTXBB27lc/ MsyCac68jnDmuZAzvwWj3WcYQkT0t+1ujk65rdYM6wz3zkennkTqD5oveG4J BM85nXT7ZdZ/8/R33v7O123ujcO2q+PRpHTrTZP3H1AJ4WnZozm2f8oetzXx 6gEVMWtG3YXP8MDzkMlP9r49OPisxDKEDPeHcNwS4Thw/uK+dj1bbywZztWk FRLgarnWRPfGr8Cd49dx4joJLnH5/9ow/xJGQGtOLcoRZuw9fTTZz1MWcwHj vYkO3Ekm+Y87s0FZK3OP24NRyDHRss09RUWx4p7rT7tiEVnO3OLztToo2v5D +tpRJlhPLN06+zgbPksa0W+XdEOQdUxN6z0JlOAbp/WW6xkUHOmaeMb++ZVC cwsFS0xIkRK61n8uC1amF3olUtogQmSFDv9dGngfHtVJlBqDzPW7vYvTa8D3 NFegg0sRukg67G0RiEPG6x7blUhRgDyiTNi/vhRl2lVt8fhFQmkVQUpP2ftp rhjL8kb7INI/3SCuOtuNbnA/7GzZSYNnv0/gU9/0I/E849uKEljEu2Ftr+VG Moy1FK28xl2LTkS4E6t5sCgz6Kf49rdUqHWGcvqPIvQn6QiDm9qBokNr1R8X sX3jk/td4vfwaDQ9tZU204GybaWeF+wgQYTcvrz7gl0oxu3n852iPcg+JqC/ N4UOHYf1Jq0yGkE/uI+eNIcBi5KJ8BYeJlA4uCUHN+PgW8+6dC9L9sJ0p/uA kA0ebJUln/3ZRAR7ifuuxz4PQdUj9fiqZSL4XOe5/f0GFpq7L5w0KxoC36VV qXfsqfBx/sfHWMM+0C/zGqV2Z0Hv/l2mGd2dcJYle6w5gAkh331gILUBRR5U YK5+wECKTj5m1uE9oChpUj+r3IImf02RdEOYSP6NxO6JkEboNxM3JpR0Qlzy zG2P862wcxuzVLyAAQE7EGYxGvdfm2tdq7b15xg85/z5KadN5+AvpxY7Pid1 o4ATLLu1NxjIsOCVadb7Fjiu+Nu22TgStX1NXo/HIORNMSk8UM6CkqdcNcEO GHjhn/lqlyQNAvE1i4krRuC9Z0/V+6BKVDs8iqMQMtC+OqWtD5NYUM0ZF2vO ON3njI/GthwJRSruv3Ykgeykaz8Krr6sM9c24UGxp/3onbkJOKhR3/pJZhxC k1s7FLr6oWjS2zBGmwZXFKqTTtzsBWG3t4nBx3oBF17m6E6mw82LlcJbhDog 6uG1uL2iPcDt7O+4yE8FxRVJVmJ3R2F/vvcVO0ksGCdP3fTH14EhV93YtAMV LpLOXq0upwLtss6eT9KDoFXt0kNn6zGeQsUx0wAyvN7MFN18dAwqCfFt7c2D sI6Dv/oHj50LvFi+8AXtsX+uRPmUhOREH31jMNm8pGG/tuLRKLqO6zuq2NmH dlRBZ/Z9CnSWfPT/nUFE65xnY84X4NHDaoa27TIGmmw/3C5/gkP0YX6dWlMS Kj+jcO/QRBds3CsfslFsBDQx5T/td1PhlffVyyVNvf99H8OO832MKM73MfiX 3H8nQS9QvVST62bqgffEgz4PZwZs5OBYDr6JgzcQ8+WanpKR68crdpnd42g2 2zjb/GMf2PlhyGP3KSgzQij6aO84CnY35HXi6wJLU+GOpo0kBC6R23mt2X5o TZbgUGEPnHO7X1VjhkU/D9pss5WkIqc28d3Fow2ANUD7Ux73wPpwzxTYgoPX oV+ELC1IwLryy/1T5BjEfl5eqtpLg+GhjADBnw3/nXfMcs473nDOO4KIoVpO K+lgtfW+PxezC6bPNw2TMvugalcALWeRgvYZveqROdWPYlVZ99OdhqGBg4tw 8JccnNSkJOPmT0UzK1Ydue85hsRKtYeqlDDwlGGL2fWNiiTrg0/JpY8ilZjS WSV9ti9TDm14GdIPBx0mUy26x2DwTZCqM5EMJcuiLQtsnW1L1xSxr+oBe8lp GxM9BtzuNY7PgAHUq7bSjZQzgaRLPT5r5RLhyT/fE1jkfE/gnDWugu8kAVyt 4jp15ZtAOs3y7MJKEnDv3m0YmEVHTYMs/0+xfUjoy9R0p1M7rP0H5+fgAYnW jwUciIjnkVLgjEEfeim4enIxAwekRe2DV5TwiOeByJcq424U/Wx+ejKeCBuq RFJZ7/FAK5dN+ZBKApz8iGupRSO0xTW/eWIygeQl5f3HJshIQe8k2+d2gH7T iiHZkgkk9xAynfLIqN2q5KVAUzvcC1tVkys6Di4pE9KYbVSQ0T11/qh2JxSu aFfjVsWhUyvC56yP1KELTUzvsV9kGDde1l+QYyDL1w73DjzpQduF5Z7sorX+ h1tw8G0c3GYriyfZDA+hEYuFDfu7wKJN2pqvgQiFHF54xeGJaxx+2BoTKJjW S0Dv9iS0ZLsTkTXh4YaU5CYQDL1rsBjGQEcPaT5TW2hF3i1HFCYNuyDWf+Cp fSgNvVv56y3dthNpj5gpsloG/wfX5eDN7t61zj149OdriK8VW88rnQvaNnRj BPoIAffImblIMKGAP2A4D1k5Rba6YNi6+pOtwWEXAhIc1dlcSyGivBbRsc7w RvDNNH4WpohDt0ysiUmzRDSQMEbwjOqFv7yvwNkHjnL4vzUsp3nsA1tX5Hlg XWdaoQ0mvFp5cNDEwX05eAcHx3P48S9funN4cjFOQHDdKB1mkuuUXxT3QKqp j6DzJgwUlWrwbFWYQH/bI8YDC2gVDiLiJZ8lQg/CddW3llR1o5cJ37LXWNAh iee4i99hJizuLsX74jpg16UXrb66TZDCwZc4+OLF/w8vwjkbD5zMgaCtBKWe R09AfJe29woGCzylCn6dIHQia7PNCt8UypD2wnafXismaHTFOt7qJCGu/GnS scAJJKRnJtV2sgd2zcaLy2uQYAvD9c+SLQEK0vwefXSoAcsBcy05LxI8Gl3w +SBCgI3B/M6eLTWQo6X2hPizDWL2HWeVWcUBr9Tc1GMeFqjIe0TWOTHRcdzl 9ecH6tFFr4flmzZ1gIlg1qrV6xjosyCVWczVhTTTk+pfre8CRU2d29UUBnrI YFb2KXehFwSxiSa9BvgmRizseMDmGTsB5WnzCfTm1/dUk9dsv1nl7HTuKxHd xY8EtenjkLfZKZfTnn3wQPxo7tmLZBT/WHvK2RyP3mI0jTecqYCBhdr7NZs/ lrtyTwqWqvchr2ChojcdDHgmeH6vhlATYopfj1qb2Ys0wmKeiB5lwO5tuVq/ BOtQ1AbxcHdZHPJQnE3csZICdoP96+02lSOvol0zoWeoSMotlDHai4WbHPw2 B5fm4OR3vtv/HO1AhqVY/QfkCXQg9Mq2aX/yf7gBBz/IwR1r+F89j8lF8o/j VVksGpqdWutuPjwKLmHCZlHCCKmuXXhppUJDm0TrO40ujcNw+S3D/Q/r0OFC ScOecDICSQ3ZR3k4WLV9vilj5jNiWluUfWaP9zvetydmqwfBEmsnsG84AcUp 61PKrZjo8YPZiA37ugFXVOsS9bQSrv5Yrnv7gQl4Z6Hnzg86YFMajdGoH4uq /balJx9kopsrOm5XWvZAiXTsNwrRDinnyGSnq2PQHpE0rT8dTLDIPat0ga8c 4t4/GtbYx4LU4PmBhrxGsAj1cb8bXgkGJy6vVqphgkNM11H6gzbwMp7e/YQ3 DkkXPPPddp6KSKvFzUMlJiBrh+upgp15IGr03FzJlAWJYz/fh2k2wMGmL9GG U93o2vqttdnceIR395uqSSECJiNWIDyjEhmcEitZyWxDbSa7MZalTJBYcyG/ nO2rzSanDifz9EIxVa6vPJYBm++cHzL+XAXXuGxeq2xm6ztlw4xLOhQIeD65 /ZtqF4QyA+fUK2kQEpB8xMxxADboXko+ZFUH/cpvZfTN2P//dfHsIlcfVF/V fOOzUARTti26rn/GoV//xeu+KSpMN+BiNyuVQsvkqnCdQSY0LSbeCyO2gZWw i172n3GUP7qqRN9xEP0UlRXLzyLB9sZzmum7scj08tiLsnd9SD4gT+mSGRns 6A4GTp6jsC1xX55YFRZYwiHn23sJ4IZPazaWGQA9kUceLa5UUOHKasojDwBe uGV7HB4Lm3ouX2pUIIFMof6nkJIBeMeXPcbkwsHHlhEDKpMIM5ecns849AE1 IrO3ZAkDEWIP5J6cp0PAeM7ImW994PDim6BVZzsyOfw9dLU4E0UvPT22+K4F /mx/ryw9RUK3dlRTtpGakEW+Y/AhETyIcerJ2/6pJ7fzuihi2dULPiKB7uZR GLggV22lHkb/Tzf/1dUZHP28rdZKKyN4AjaNxHCJipMgX+/3kN4M28/miZCM n5Hg+3Q+jvvMBOhYHykvZOt/5X/w0xw8WGS+S9VyHOIL9pMu3iOD+JhKgovI AOzVs6qzWsDBt6YvTHUMAYReUq6ed+ln6yuRZk/NfqgcoHLxHyFAg5sEPjAL D9I5PzIznvUjg8IPvOIRNKR+DDdXp9ADGdu1lQv7ukF11dttxXEMWIm2log9 a4AbDNaKulwKkjkWrq8xWo3uFmi8YV5hP1ePsZa6bQT8Dvv1qeFqPOzbUHxu 7zwLupqiO4XYz0+60Xz4xoMhUL5trVfQMA5K//RLm9OvgMs33xpK4OHqjq8a W0NwUOpkf6ExbRRUesS+VTiSwWjIuvX8NizwOX4TPMDmQ1V3Y7GqkVGIDl55 8XLHIOwaDn1t/okMLZ5rM63eY1Haw9fdL3+QULOWB7dUSx+slNUTCvPAoR0m 4ua7Wkgo3ib+ptUIBn6Ot45KZowgy4eHHzVOs/k4+n3MYE8vTFX8FI7iG4Rh Ht71GWM0QGdOx3uHsv2fVnOFZPMgcq66+D7bio7mPAdK470bweVqG4s2MYRu h+wzjJKjI2NN2Vdr3tSDo86WqmiTbmTx5KRLewID2b+ZTFDa0gTjtR37R9g6 eW9xfIUBbwXiebzuajxjAnSthmYS/LBgpqTQrCnQABredV/ad1LhpM+RndWl RNj47lIn7tkgeEfxekvKT4CNKm/70hAB+RCmua4Ps/WavyyGxNcDo2eFwlyE CWh7dwI5Q2MM4Qx9ondrTIB37PD+I+z9A0e1+C4XS0T2hDX8DQNdcGj9kIrq XhIarOiUdVRk/300/Wbd6k5Y/KRaUnyRzff+V6UssGx/M31acteFbvDWW8/r 4TaEHCR713w3p6O4T3+OnibVweNzVrYLLweRW4FCPUOEgg7AFoyJ0wjY3S+M D4/sheYle76j81Tg/1Sc2vl7AEwpvx8KaxFRqvrL4xcaChEd+8rbqI0Ib8to yg18dDCIu2t/SbgPzNQM67jUuoGX40fG//Ejux8wsCfwZMQ8NOzIXT+OPKOk DHKkesE819P/03Ms0rf1yvj0nL1+g5FRlQEFuG1w0sW+JKSpstlikDGBFkeL l9fZ9sCniiVvj+BuiP+9sTq1ogsIcN28NJkONhIZ1RoviBDYWMtbUIyDZurt IIGwXriUvrGx8jAO1Cf3hBqweSnecXbpVmMP7HsetGaD/zhciflSEdFJBVet G66xiXXw5kHl6B39SuhZRTwVtdQB2lUN4SLBTBhrgsjVBSOIqymi6Eo/DXXI nQ40k6yFNLzRdF7cILr3XZextToRlW6YXQrfyoBOH6Z8aRgVRZO7BqMXRlHH m3JNuS8YELLX22nApKFHo2vm/Dz6Ucb8jaTrN7tApy1HqVCVik7z+D//8HkY FUhQU5JGesEfFXYa85FBz6BE6HwSm6/CNsg9TW8DgYS+bKdltl7Vdrr9YhsR 3dA8O5oU2gWw3uW3128sMtaJvN0dRkF07kiRaKNmYFJFX1zyG0ULux5QzmdR kZeQclZsGwaOveEV+hhaA9HRZZ4R3QlwVnlrBP01CwTXPzpsv58JhYLKMsz2 Bvhqu64xKg7zn09p5PiU3Ryf0ttnWLPBAYdQaEa3a1oXWttjPFroS4LlazU1 ODkqlErG+r1n+//mq2/dMq9jwFtZI0NUsRpoW1YGlqYVQKZDdJb/UxbMrw29 EHaIBBtNXdVzUsbheuEq97lVI5DlGWSzAkeFGMlA3RGLMTjj/3pteUMr2Lo4 S96UJqLIK8yRkRd4ZJeo/rhyTQ/wD5k29J8gwNT7y0Nfxglw2//4q+arXfD0 5e6u5REc9Fzs1JjZRYZYpdkC5/pmOHyuFe33xIP5scYm78NkoLIMPb8vVMEZ CcVV7wWwMMQr9MzUjgpHfxVg1H7XQ/U/9yKd53xX2dz7uehrJyZQjr6bPGpT B9GtPrrB7zuA7/Pqkysjx5CVu9WZzeZVSGitRhjuJu1//NEOjj9yPjfVpviH joZ/CBoFG3SjhReK090sDNQPLcZ0pFCBOBMQGs9et1pRZN3Zsi444JZmtrGO rd+fU1y82PvJ5Z5UnqC5ZqAXEg9J8zAgPnir/F5qHzituXP/UWEDHNa14h57 SUELDI3wIu9xpHpjIi1uVTdc2RbHa5dJRXzrjKZfmY2ju9siaa8Xm8CeNW0p bE0CWXrKUy9XHLieqzxRIMHmGSl8hNt6IjqsnHf/83kiGio/VbFZia27lq8Y /bTAwzdpLX45URKwDEc2m+pg/qtXvs6pXzbn1C0famEdzVvNhFOCUVzRxGr4 1pny8mxHF4TN2c7neTCQNPXbEw2fVtS2Z8c7E4Pu//FxehwfZ5AXESJZQ4e7 jT5B6b/7wPH9Va7pda2QJdC56DQ8hIS3va5uKalEPzDjlcp36VAc4GRqvY4B VtfdfwkJ9IEaixW4KrIZzl1e47C5jYp2aqKmw8fGkNNLCTcFj3Z43LQock6R DM7tDxo+HpiA/XmOsheGu2GFlbW1zmYymty9pdKOF4+2HpgnL+s1/RdPf+Pr b1w5vfYXquvHoeP45pyP+0iocm41797ALqBCNC5ploBOLupUxRcQkaPTn5et ljVgxxScmPiOgxUNot8q0siQ3u/S/9Sj5r967l5OfTeeU9e96lE/UmXrj7t2 AifO07+DR5LexlETPJS+1NjBfZeJpI8Ffd/a2ow+BfPU+EQ0A4bjN/05frOe 4zffBRgZ8WfTwXD14NHe1h747iuYjoQ7oX/vU+dNxgzQ7FYwmN6JAbO3n+q8 9nVBvFyewImTdHTzhyo3b9sA8nlRQpvtboPky6G3L9sQQPmJ8IN7xW1wsXck VeAVEYaMmXzqKAu4hAm5dMIXODN1JOcZkQU7W0sw23PpSDVHVNVXcACVB6Hv bzWbgHRLT3H6CRk53JhcX0sYRy/CLj5ZeauPrYuMd86/Hkbab3pCMlYPo4Ek scft82QoapdpeZNFhBPnuwmf/QigHaVRaX65GfbiK6+XbcOjk1ePVZ6mE1GH gMsh4ZddcP6fe7TzOfdo+0qpTpRVMZHTG+zkG7Zvm6ooNb/9rR4CvwbnKWow 0fvp0K+GBo3ossnOj+eDOiD5H7+8nuOjbzFmPofgCWhvffhN8+YOVPg65UxK HQFqvuosldKpqNi9+cj5lC7Eb7pELvEahuklFemDCnQ4fdx2/WTcEER9fli4 kNAACj0uT2+z9cnL51MXb64fR09ur8UlJvVA5R3Ge0lmOmR6vAnhmv0Ex/ri uDf+YMEmwY6nAZUJMFTH5XzWIAPOfrEOnmf79J9yC3Lih+jAV616r64oDyhY /r3Fa0bBaOSj0B7PO0g+ci22aE8uOsZzufYCjQWBcMw+i817qla+vRlF7TBg r7lVU6fmP/w4B+/l4McFQ70wr6lIVmQllaLUifbgSjcn5YzCKdKJpYQoJphX gHtiVBsoKhCKv4bXgrDom93f9zFRlywruKOrE21Tm3EsEq2F+LZJb+4RKpxr 6pwUXegF401rhGZ3DYLpAK8C3oOMtkeukvs9iEO3LVt1h2vqwHxNOrcfCweZ Z0TKos1xkH7zZtj6+jEYN+i6VXqlGY2JTNYm/iah+hPlHygb8GC4X1zn4qMC ENjitvHaGyZUOPQ6RUp3Qs7rd/JxYp0g91KwwrqWBmn3OwU9dg9C/NMQVKsz DqWTJ3vdvpPggrD0lNzvIdge6lx67gMZpUVbns2wbkAOZWKK35/jgOT2TWPH WiLgy5lPFbRx0CH2I/Lg6ACY374+55rYhwoGk22nCVS0Ry5l0cJmAO60f+PJ 8KXCMfNjuVdpLXAgwsX4quc43BqyMmAGEkHhpqZvTu8IzGiUs4T3Y6GkKlwI l94FQ2N2JsunBqDh6svLbgU0CJgkb0vvnIA75K30Xyn5MIOhxvQhClS8cdLa 7EkDs1ZW7kvxfrhqapvsaNMLr4cfcgsHk2F/l/l1qnkRyNk95V40xsNul99r hp+x+ajw110WtQe1Pr6dpUjBgcxltWO/8VR4namQETpXCF6Nn70HdmKh88Tm 8MBRGlirFb1Se1cAVv2SmacXR+Hl/CxxSaYakpwqY/xexaL6qSmll7EssLK6 ohWjTUdX/e4+tpCpRsfEHnq8dhj+n3jDcuLKA1sbTeLNQzIBM3LRogwUO9Us 1bp6EE4IbBOL2/MVhbrXT9+IZaArU/VhDyh9wN9w+J3xgXR0bZVsxZ1UBhLk j7Wl1PbBC6UVD9dEfUFd2vVqu8MZyGhdRbTB8X54/FaKW8D4M3p6TPl63xgd La9KqvW6NwT2m6qC8wwS0Pb2OU/xZRrauGSgeZoyCjTu8KmHLTVwc+tUAP4c E87ve6A/mcn2I6Lh1SYe5ZCfeu6CwmYWnKW/3djf0AT86gE/cHKNKCZId1p4 kIn4Ez8tvmquA2rzFZ+s9/WIv0JX/OM0E9UXDlyqtqwD6aGP0eWaHcB7nXhG 4gEThr03Db/RrgUej2Wx1ttMeClGPqvj3AFneabLXnyoBc2y6wVXhTpQ3aMk Gu1JL1r3Oij41wAdnve9e37rfg5a7y3gHjdOQ0L2azau3DsGihEfevj7k9AF U43T8q1EFB93S2KzKxEqT141X3EtAdBOl9vn/DGQedws7GclEwp21R7una1H f9uD3qYnPg8xQUE1ZZNNYw6KGO/FNfNlowtxemdXDrPgybE6LuUmDCydrjyg UUkFGo/fxwmtUZAsis5VHahH9+Z4Ip/fJ6DY/Nju1GkiOFGFsHzBGHTSp1Cv 7gIDWfFmpiyEdUKP2Lr+MyL9KEF+7KzbszokbjNsvGonA7o5eNw/uII7n9Gv VcNs/b7lRvClblBJC5N8SqZCZE1xurLRBNimi0yXYPshfI/kb9IuEoSey/eZ jR9Abgpanq5dNLTh6ID1mQedkLZx4ZuDUQ9acGFJXDpPR4fmD52fbeoGHpGp 2e8nu9COhX1LNlvI6FLVk9jKmgn40LLhI/FmM4jkzI0VHcuHJgbR6+ghFiRw 8EP/4H2rGjDGKmT4SuHX2/54CC76Eqo1AsagO4arS9aVAnqUSN9RxyFw5I/V WvtpCB6/efiubnYYmV2ZdTbIIiOZJR6HsPhh0G+y5XNxJ4GSeedyhX8LnJbM I/d9wMMZDq7MwTU5uCPF6U3QIhZMOwe2SklTYBL2lF063wEUqxxhKd5E+JTG V/ZrNg+s27W/2GBZsGi7+vgRixFkUfQRj10iofc/JvY7Bo4CTyq/mOQtEjrp 272cJ12M8oSeloq/IYDz5qIjN83ocDXHx13QvhVS95gUyYwMgMs/eDIHPzfo lxadNwGt8v3530+w/fROyd6gjkFQVnx9L6oYi74ZH732FVHQQEb/ypeuzfDV 5WxTzB8sehejeDxJjoIsulRue8t0QL2F4K2Th7DIaNlR0DY4AxX+3qEZ8JMK mfGYTkVBGjCdhw18P3TCI2ZmXknAMPzhxOXfOCVz4lMs/6Tg8Ty2f/dIVtd3 JaJ5IcNH5562wLXvD7L5e7EwzWfR7+tHBK+YJIKw2jC8+lTFpTKOgwnPwt9B +mS4oNHGlzvZAHyakyMXoipR7RV5MxbWASFfwz6pXBaYchU9/7CjA9rsim90 aOdAjPAniSQCExj+Gp7fduWCPOt67JuSJ7DDui1UiL3/rrA167mST0CU01de u3bgUOHI78gXJgPwKufyr2cqWFjTDSFwHAfaSo/GuKkTwB/jhxdhr9uEGb3F a4JdIJ8XZ9ahwYAyznpGnPX9d107cdahAGdd5nDW45OceBWIo6H7oT2D2/xb EUN7c8zt78OA5fTzb7/NOP1tcrpUcfM4Ef1tKQLEJU1WPeSbrp//HElE5srd UUrcRCSWH3rS2KAWvEOtLQR/4kEnqWDr/J6vbN5X1q/bTYbE818PEypI4Nwf 43YzEgu6V9Leqfv3w/xj/AhJOx9ueFlf5JvOBb+6ksqidhbYHTPCdKmR4Ny5 9NYLYXhgnbN25D3YDqiGYAcNNFApTDmN2ZUD0h5tX3fdG4PT1yW1LXZS0VVd v6ePvmJRW0dbSsDvWggQWpn1lJsMK657JfHgcbBe5dhrj+gWaGbWnN5NIUHS xjtC8bY4yK990o59hgFMQ93jpUoyEGNN/S/Kfge1tx/0exZx/+GEf3D1ji2f 23kpKHiU2PlNeQzZuNzTlSnpB61dcke7jPBsfX7c2iErH6Xnr8v8+J4Mpzm4 BAdP4+DaYhkROvwM9OjzHreW83VIzivbrkGrH3qWV6pXUOnI+v5nmzNNtWhD pAHG7eAAxCidm3rxvgS5frlkID+bjeK6KHJRlSx4KfSmKIGOA/cD6yMvtgxB dhu9VbQbD0f47BI99qUjni+iMrmGfSiu+sQPwUoGZHqdPeEcUY0q8gTWcv/u Rd+KzUnidxiQsnQ6/+DKXBiI1A15G14Nc7eeuvIGsaDaX2SPqmwWsrdqOm/m 2YdSN79LMyxkAHM8vk3nYC6cUm1UKlLohDel7QHykUx4uoxhmc3lwbE7QRbO 68ah6FNEu0w4Dej6ol2uTtUQBayevgQa1Fm55GXXjsJnoYSTZ5/nITNJTWE9 9VHUbqqTFyhIh2qDprScmwXAhzlVXB9OhNGnwv6FT4jQyMnbn+Dk7Ts4efuL nLw3HyfvPcXJe3tt6l0kqbVBrK/uVVb1KDj8miOUr6HBdeVuLNmrAS6PCKLo Xhp4eX1/4SQ4AqMXr6jfGM5FsglSVPWrPUinX3yhZTMTtCihXV691ahpE8+E 1icm8opauq7l0w5+Aq867t+tQy3zLnt9uVmIHDJyOmekFtKULR6fOFKObCrx fnIKE+g++XS4My8VYkzKi+zONaBnrp3m+68y0Yu9zhMSdu3wbH2aZ/7HMggU +5LlIvcN4pRsxufjWODE6Rc/p18MTr82FDQFbrgxCJYtwvOrWRQ4m3f1y9aI Qbi76T55tc4glDw/Oa+KJUGGx/EPJjXjcCLjNTVEvhSJahzZuudsLXobdzpJ yZoFbbLzD3EHWmFUg8BnwjUAgZ9/qgW9pIPd+BceukwbwlUcDmV9nUDu3h1q 3MNkiDf9U3fmei9yeGEVnb2fimYNL119YzkCLXcFHbaIdqDz07JrWI4MtOv1 wryQbxes/nVoIX1tNxzebuCBcWIAsei+4MqBNvjAqVfB/FOvouG5bK6r3o9y 1Op2JjKwaGT78cxbYSQYUNYM3N4zjqzNN34ZDSYhp7c4lzadIch17c2ReFUI hdILJg4v62H2FI0yeJ4F/p1t6U2m+aiz+oKpd3ANMr8/yPfClwVR2aZqyT89 YIPXvshzO7MhXU5gdxGLBR9T70bEHO5COxtyVo1n01G4elW1IK4b9nLqVQw5 9SpGnHoVBeGfYX+W+yEUE3oqXrMHPpsaNXfeo8G8oN71C1E41HgidFvUiRGU hTFOp33Gg/eOkveY/XjUnLu2xHkJj4Tu5KSa5AzCPf0vGVQ9PGrfuE9qhyAR jd9Dg1f0e+Htks25V90DcETdAXOngs1H756fiPhIgMBprelso3FY5FV9ZYkn wZqvwXonLYcg9mPzFv7tI1B7yufaFWMaTIr6Ymx0O6BJMk1Vjd6FyBV3jF9E UZDEjSjmardxaBHd4zq8nAdpeQldVRtq4IdAXNcbP9b/mQ+/8E++9xon32vD mY8+zvxc4czL8rBFl9SZPvS3ncGnFG64QYP1/oYtYYrv2T646djghvewquOH j9QiC9b/8ZvO20oEYbsU5pF0HNRTZ4o3PeiHR4aYxwuXB8GQK1y9yL0fdgnt CZvypsJJftlSq7o6xKuPHX+7vxfRXEzSD/syYF4bO2R7bxAKZTxcj1+iA/5u DY36qglUjnX9LMsbgJMbY+zFHlOhejFCIoR7ADY6CTSJi4wgU93+i89aachC PJn0gtYAJzNdjL/75yPHLAH5gMxK9CrtpQj5PQtsOONgyBkHF844/F/54QEv nUduPCRYnItaM9eCAxPe3YQTB7rhoXvzYhaJBOuvaQeMDeLAskNf82twG7Tm JUhuCsGiwSOxDu/sceh7BFJI9ZwAm2KFbVo78ahRPmn/dy8C6tjZoxGoMQCi Rsf2g14rYk2fd1ra2I1Iik4Opx4y4M+q7KTcxHHw+iVrGvOGCp3MeaX7qBF8 pzZdGhTGItHffRlcpWTU+3ozn2ZrDzTYjG++IDiKNi6XPC0qpqGOgkndorBa MP8cj2lrHUV76u7USrjSUJlORxaxrR4uCQhISGcToVo4och7ZSukF4g2B18i wB7OODzmjEMCZxyW1HhaFEyoSIG3IdzLbBjxXZKWHevvhUnlewGqlDh0+UGZ uk3pfbRigG+P6W8WbPb0yxy/S4bBYyeIu9n9z/26nLvyDlv3hXGtOW9Phtbu LZsdu7EQE8lzEru3B/bXB9ImvtfB272aQUadZcAw6v287TQL8squhf4sG4b+ C4W/t2t2w8UVOU7PSqmAF6B0e2/tgKHOms/5dv2wY/+vDj9vOqzn3iTjazsO R34l8K9gkWHCz8vdXLwP8lc3fL2q2ICO970VKH2bje7c8N322YoFOQoeab9u jcMbx8MNx3Z1QHVcQegBNSrIN065tLbTgHFg+45Hyex9/flTtbmhLkg5JF10 vLsThT24WtPV2Yj6xxibuQlsv+Mn47hzCwXh1BM6ntqPIw04Y1UV1gsn3jth Lm8iQLXvoLOI7AR0Keh58MaOQbG4z3WediKUj71w8RPHwUVG2ovHl/tA+laK qdg4FbV7rmoM1BpFQkOzS3G8GBBSjgm9TaSiG+FSjplcYyi8XFHi81IbSNw7 mOBKJqB664pExS482nNre271yh74eKat2P4rDnrwaQfwe4igKznQcVS/HyxY lxN7Gghoec0JjEYjEXlV5TTkLdXChdSO5YGP4XAnoXenmkcodLpuwR9cYsEx 2SFrz5s4OFufGesZxZ5Pw4b5i08aoYCT1z3AyesyOXndHk5+8hQnP+nOyU8S O6ua6sPGUBtZ7mGaBAadHvRR9fGhgixn/Ttw+GCCwwN4Lxfe3hASGns+myqT M47SVx56Jv9xCMQ4cf+Asw6aOfF/d3mLwsH9RFR8r9XlZhwRtWcvYi8SqmDF zfUVdSLdUBmzqTvCqAsMZkvLH7bQwbjDYYOOYjUIJvbp3dlcD8nrLsskCLHg 8IWQt1lcEyisV/740Uo8mmY6plc4j0Mfp18anH5d5PRrHScPEMTJA6hw8gAd cmmW/+976HQVq4jIrRgQ4+Fad8QfB8mrnn/Z8GcAPZjgzfYIqkJljKwxvTE6 rFLfTRDaSoKwrzjXgc8EqHzr54k5Uw2bjiheaZrBI92t99SDs4loDl/eqVzU ASaRPbIlsziUpLC9LUOagEb2Y3lVotm8+X/U5/zVK3/1SwhHt2zn7JcRnP3z K2ffLFP5rbJtBRN5hvacGaJ2ork/g2vnH9X/x8t/eZrO4WcP7odWz2zp8Mq1 XsR3cQC4ue9k7dRsAZ4RlZtLAUPwM1U4vka2HupWD8p8OEsHcSXtB5rnx0FX 9KdMwUALbDSVc/B/TYVQzrgf4szDPGf8zR+oWZGtif+1Wc/sY3d+qQaLS5K9 i2xdealbUEdNkAjp5zolHR7WAvnRh70BWUQUslbKuZbNt2N7qp4+n26G9Ky8 LlJkKHhu9HO/Y/oaEpNYo93sOC922Oyw1iIbmgitO0+lUoBvybhZdSUOCvSf yKa7VqEzncH6aopMFH1WKHUzVxcMc+qcTTh1zhc4dc4PlmNjVnc3QoloUnWM XS3o52StmsQyAbeGzOf4AqEdn45LpT0cRVWSDdIwRIPa6jTmYadxEDURan0v 0AdMqaLS9T/IIHxuHhP1qAIkml9ZfTNrArdkTT7Sehb8PHKLe+FBF3pyfP3W a+tH0doKNbfQp+z98It9r6BEL4yfztc32UsByXyxo54e4+DhZCM+8qcOvs63 6XyunICadeEGa3UpsI+ji4w4uugcRxeZBkJOZHstzHwYSdA0rIRZvFDVgCoL vDpPGOw0HkAe7bxRH5h4dPx2/VP7eDzMJvd/Urk4gOTf4bw+7qcjm1RLfr2p DjDg5D0U/8l72G1b/NlJ7ED5S1epPtnNKFFt493xbUxILUNRm27ggBQn+2JL TQ+8Nfvg1z5PhFeJi4aqEhMoInHKY755CL2Yrxc0tCNCcwilug4zgX5F61yh SuLQtUC6yJg9Fob3l1u4bxoEU24n9ZxKIgyvS9hqaz4Bodq+5y+EtqPAtYrm pqWDyNb/x9onv2ng1iK9NzuMiNZePi9jmFqIQm23XN7kR/wvT3KNkyf5wsmT rG6g7eln64kHmAdLd81y0eYSV3X4yAL9hJNq/XdIyNLlV0BhSi9yKil+3fh2 Aryw33z2WuJB5s3W03UPJ8DvirXX3MVxoK2++R4MR+FA84+KvAgsbFfXXTyy hghuuMofzQWVqEv+qf1qmzo0jbVcuUqeBY+7VfpKFoZQy49K1aGjNKSo6Ov2 obYTbreaW0zuJKALarkBlq15SF6b8XOMQQJ/0tMVe8rZOudD+XUMVxba5Txq dIW9vi5ud5XBfh9B117o4f6YpqDF2nM6H87QoZZT37ufU9/7llPf+xibuoV0 jK0HtFZHO0X0I43XK53dfvTCm36x+VZvCrq0zH1u/tcgSrj02hjTPAS/mNWM jN1YGPg8nvh5iQDSR0//VGb7/RvxihG196uAZ/pqvyqlCZbbH1qumWQCSfLp 29KoXsTAfnw18icGvavqGblNZ8Ctd2umRzH16MBgsmvlnB9KMvaxeOfB1gNN RaVt2tnIuGKnwpb8u9D8x+6rHlv/2yYJe8RljcLlqIGuiu3/7+85ZC5VRAN9 U92S0DP96OjLkvO3+8sQRSBcWvISA0RzTr9Zu7MLJWAcaG9wlWhH8qftj5SY MCDktavcfgCafdxqPppgYLvWF7mvfHS47dytYaTUiBSL94gJBVYhn3wjt6tr WcB9zKhqt9Uour/rhUw8zxAyw5cadheRgd6I98pagYOffI8fuXwlgXlMsYKt YjcUmTu/upWSCxc1VZ4fnn0Lnao73VLJLDjh3yh5+24tkG7uWzVs8RGMklLl ml6wfY1IcpNoGgVZYCwcPow0o28UgZAHLVio37xz3+cqCqQaEMq/N/bB9TE9 v/6IEXAgtqZGRNKh7Hhx7UJxP+BGrvdeglY4LenOOkIsgrj5O1s/CBex9cfH mbclLJg8oDZI0xqFvfb5zYtbUuFHxcq5vIN0OPuMMRhjNw5Bp0Zy9bJSQfi7 3R1FTxoIBcs+UVjVB7zBn8W1E0vBfFQQM/eZAStXPRyV7aEg2oW9Ucxvw6ht Jy3R4Vk/OF3Wtm17X4BOVny4I6OcjWaUIwYNO1mQtMWmJmY3HhUW8L9tbyWg tuR3/Cor+2EDsX+ThCIFbmavS10VnA3n9t1w843G/cfLf3n6Lz8ftJEP8RWi w2Ux6dH08g5w/GFd6RA9AK58fmcCT2Ig5Ka2m7YuBu4W4OXUwxlwVVguRVyJ BGaBPsmPQwigIbjb8pBCFWg4bfFJUGfABLd+68ZdObDn8Y0XDnEDQO8yU8l0 Y8DpDysUmhqzgTjrde93b///eV5Jlr4nZNLWjqxD7Hc+FqhCJ/hSdEXSmFC4 Q666cEsg3KD9uar1NRgdcLl86t0fFhhZXM7dK9OATodX40gfG1D9hmOjNR1M EJWznKlYIqKj+xpUxF4RkMalLVyfjtRBysGdq4+01sC72uO6lOh+CA75sE6f nwF+azybHL/g4dJphQzWiwkwVF396PzQGBSRVbe03OxBoxdvfyWHDKId0jfe vuKjwX5CucpkSTicMfjt03j3PVxkNahZsn2c9TfzThHlLuQxxXs1OYqBhF5Z LW1sa4Xj06qX6ycqUeoDHQpBtQdtWSt6sWSQAYc27YkiuI6jl9X6+6SaKAiz 2N+uRusEkmPfoV2NZHT99gWCMOM7mvSYU6WycFA5MDVW+ZGEtp5TE11h9A35 OfaNXrhIABbxbO8aHTKanx1mXk4vQaKf5J8qhuNhzNXyuvuqTnQk1m918gkM 8oyQCu6/x443lyxTKREclM1c5zNl61JBt/iL2C2t4FEUemR4Fw7mHx3jK4gm gaAl6VCPTDe0pKtlvNTGgfCAfr2QLhl0tE+46Ra2g7ifXGJBFBYdJR8ux8qS 0SUNXvnf33shX1ngnGHbINy8d+KzyQE6jOXF/jzyswXe40j23DE4NLT4Izi0 JQfhZ6Te1cpSoOvG5MOA16PI4dL2H7ypNCTn/G7pmUQNePLo9L4Tw6DKCyKq hrNhaMA9ELexiwko4HwiPCGDTThtNPTIBEjIcpVTFbtghRDtLOEREal22Wfn tBGQmFCkvP9iI3QOOT3XliUic+Iv25khPDJ45jyXld4FI81fBJODiMgz2Uxq fwABYXWKuL5ubIWrXWX3N57CA/bRmenHf0hQkbhlU0JGAzTEHFFxaO9B+s+e ChyY70XmsTOFkm20/6mrMeXU1RzABqWMmBBRXodp5M60EXSxddX1NF8sDF4F Z7FeMjwXtBGzMcax/dJdUw0jtj4sJf3acZIMsc4+l0VcJmBSdWf7iW9dIDam lqvRQYb1s367rmzGwe8/TW1CPU3A632ih5BPgo2JZ2Y++OMhV13w5WRhI9jx zHxps2Qi39sFt7g+t6Cig5lJ+OIWqBTQfz8QNIL2jOw18tRtR4yRq+8C9GjQ dPQy5fuOEiiN/c2IwZfAdb+kuIYUFkzjyOj4BQbMUWSVN09lQ+OW5R1nFQcA O35XYjqXiSa26X3RDWtCf34VfMF6N8D+qj2sFfeoiAubfm2zHBblbLqicHh3 LZw/PzowHkxBldUODzNPjqPz0j4uf7K74QKXZ/ycIxV5e+8oIM6Oo33700LF DjUC3/d0H4ElPDp9ROZ3sg8RvVU6Jp/9FQPnPrwUM/jBhISH0TLRtCxIDnoc tj+/HX5eel54G0NBd/2FXnthviE9k/K2prgJWP+Pv5Dl+Iu5Rifl380UpHKT dGBoWzWa/TqXwnV+Asp47I6WOdPh8V5BzXkYBL6XI/Ujw01gbaGtFUokQPDm DdIPj43C7wOv332sw0LKsXNf/jwkgtUb6kMlXSLwpkqzfgVUAZxOpVS19yHv m7UXVoozkOQ+74f10XXgNXy3VVBsHLLzXUJ/3aeCgrvWztKr7XBDqGzHSDsN ffAPY97X7UMQ0tff5dkDni/27wplx3nPjNZ2O6kRsP9ACWhfMQKlPxfipm1p oL0iCzuZPAYxpvDKI6wa5BStTU2ejcAOHcdvvmz/fU3gYJbUUB3QX42VKriO AsavefLSOQqoBHfIu2X0w4fX8wvE0Bz04Eixp8L+SvS80qcdk8ACgTNCW82/ T6CHtinCGzZT0OZpvdiGiSYwDwxya414hxTdYJNNbjza1ocx151nQfbUSFFb yASyt3l8tieOglY5xC9PH66GoBctIoMjOOT42SqJZkZGQp79UsimAfrmgpIL dPrRQaO9G/GOWGR9b29y2gwJjkXlb3N0nkAjjHQDySoKuu6p/T27tAoc7u9+ rJk9gdC1g03hfWQkIRnHkrBpg+1lvyJK4ibQlUijADkXCgrQcArcE1AHO3py s5QjqXCZtkvdTnoIKncY/96/2Auvr1rK8WnT4FaQ8cFDb4aA9OWT4LrlTuhZ UZuwT5kOV6LWWr9iDUHiGT8MF7kOZMw0I5XWkpFR8KnWJP8JxFzC/ip36oa8 YKXNtd5hYDx3h9tTwA+MbAXD7dj7UQdnfKmc8QbOOFsvULvP7qZC9he8J7Zy FJy0VzypedMNLpzn/tuPEM7zH/40c9ia3IOUyw48t+XDobBTpr+0gAQUznsQ ZznvQYhx3oPo4ZwLXPinnn/3LqLR8zv16Ny7H7uWfxIR9JzaRPBjx/FPv/lk ibcorRYvgeYZ6PepAvWaS72wUV/NuWspA/VMOouUvWCga2Vmz9Qv9YMHZx/C c/alGc5+NLrvxezH5kJkf51VeVeejgbn99auLh4Bz/fFO3Yxv6P7XJM8NBsC elcxnGsSSoKvp99ZCLs+LldS6hTY38REOjb7tN7fwAAPcOnsD3yNkk51DAnl MJHYYe9jHds74ezxtlcLxcloU4Twadu9TJSgop24fL0H3jSuPnGy4kF5MEPD SGclC80c+HaW72M7yBWm7+iR8S2Xuy5NKpdioYxnrUNvsS1wXMW0Nc81EM1U 1FFKt7DQ2J/bNbvS2+BWEk3X/dAzpNav60jWYyGxE0fNrVub4A63UNlDt2yo DTl7puEDE+LEeIQmFTvB/+A40/TWe5Astrj5I/UbTOHyEiu6WVBtn5K5gPdH JZsXDyN3FnLX6HvoodQAxbk2C4/ORaOOF0VSP++zecCooV64tR8yT5DHzgxU IVHmDd01jkNII8iGSHhBhyf4BZOphA64+ujqfPkOGpBtInI8vo/AtGz+3KQY m1/vkXTy2f4qMDNIOohJAIPlYT+R+wWw+c+XI3esWeCcK7c79lA9XJpLLbq5 vwTS3qoXP5Vi6+BCwmnBukaIOXcq5M+ZDlTeS1VmsjqQq27OPZdqBhDfzm2+ 31aJbli2vc54XoHM09LP8LmzYNMhK8z0n1HYtY61qPKOBBGrSx9qSY+C6imc 21mLAWD43yPsPEIEPL4z56MmDva8O/NTJakN9d0nbXU2ZSJDyyrf7z+bIEAj 955jaxOK/3I2SvQ+e95X1PGCSgtEcc5Bmv85B9Hv2zPoUoSHqENxCcoug+D4 xenSkB8eLirVxGse60GXv3hVukoz0JxsV7jDinYIoS5FTD/HQDENm4XJY8Aj 463Ugj0dIJN3XT6ssgOKjV1DpC2Y8K25J/PmYh2Y+Nw1Gz/G9ieb70XtPUkH jR3rg74m9EM0p85B9J86h9MeGRsxkeOQqtgyuaJ6BMZeJSRcnSGCfoj+nQsK OLgZ5h0pkIQF8zHe7K3BExBcJJsXvRuHio4tqp1aSUY1j/d9txbrhFHS7Lpe /glkFKn+fNUUCQU7HogWUO+FSPGT90fKhhFPIi1C+DoNPbDtolP2d8B3Man2 a9YjaMpoR0vcDSqS11k3OTPZDVMeOzEKt3oA24YZsw1lwAZuRwXD0HpomWAU hM32IJ0eVdrqNwy048fD7JGCWpD32HX9JrYbrePf0+QWz0B3vW8bWpk3wNTX ZWg07UXLEwu4G4YMxKuxkzDg2QjZuwJ9Pz6moJtZue/t7yCUUt/6upc+AXuz z5HzlCjopY3i4BPDcvR4yVBS6wIOev55//cD5/1f1U/Pu4rWYNGu6+XD15Wo yBO7jfXoTjOEF1+JlyEOIlPDexJ4PipSyOSKkgtjx9P15JoG5WGUcCu0GMg0 ZNihyf1AohkwG6f27enDQGKnW2evzTg8K72t6L6KCt6j53DanQPwBzp3f+ml w0SQUF60Rg2IYtO78Wl9cLqcZmUbQYOQZvGjSwd7wWO99Nk03UFQkJkfJpTT QXdp/vHVpWooO3I3ecVeOiS81+c/pMn+d7kB/rLMbpig2mpfAzoMj9gs73/b Ayo8vSseTnWDe1GxSXo4FhGytmRmr6Wib7cUvZ7fbAAd4V1cs0wsevruyEut UAriW+A/1E5php8puqPJWuNgdAGjr0mjQpBWd4Uee77ij5pJXS4dhd3yu0e3 Eqgg7n5xsHdzx/+8n7vEeT83d+0dG5WDRAiTup8T3dAM/EKLOtXcxP/u9Y7j 3Os9xbnXe5oTN2WcOBLjxM9f3f/XB/zV/+vW6crLAhkkbN+OVnuzcb6wnOED bWB02E+tIJEMl/hVFrYMT8BM996Ptwza4UxA9HaF0AIIF7EygOfV4F5KdYn3 Z0Fn2r7dRgdxoBxq+mSfQydIrLSwLWOSoKSire7OEzw81hbkn1UhgerCzPyp hXa475Lzzeb9OKzJOkwRl5yARvG9Prl38NBmzLfVQ5qApoeM4mvXE9ERv6cl Aj864UuKlaJsYQ/StVq4LDA1hvLrO8KGn1D+qz8f4dSfz3Pqz+fUcjP/HKej F5XeG2rMWxFX9G/bGpPB/+7z1eLc5xvNuc/33zr2vz9nhfz//z7fQs53kjWi TL7uiqWiDyZ3feufjCM/+6O5aoJNEMjxdQc5Pq+f4+9WzXCfkcVQUekmyTUR KuPo5zmXWxt6G8E+6HZL9RYamroycT5lZgyZrrAL51rH3ke4lYLrz+Bht0ms 3St7Enh3vz+QxOaHed7ZuBm2T9GvmsdKnCJDvVz3Bn7RGsiUldvCHYKHko6R z7rzJDh+Z8vbpYoaKPK5napqM4C8Yl/oOQeMo3uH/RoNz5DBQby9rr6VgZZn dQWu3GlFBXtNHT5u7IRQy9nX5epM9MdSZkrleCsSySt7cgLfCqwLiVZCW5lI c3zqfYh9K9INO2mfo9IBveNnD6fcZaJfLjxMV48WRHp9lhCNa4IPll8Frmxh QPi0/w6CbR+sVKixT9/bBN845yCHOOcgDM45yB5HqXfyfAw4ejbJg/tLH8jK PlhbvL4RLgnamJlIM+CttEK0x3QviK/v12DENILJbaeU5N0MqBB+cjcvoRdw dhsT9bqb4RblvM2iPB6MXp/Z0mpLBvdlfbpcQhUo3zw79nAEBx7LXFnSL8mg mRjRRRmogQlN2eiDQni4crRLzn2RBAZeptdivjT9z/2hHzn3h/7FQ//BFSsP KIRHMlFMraTxbGwzW29InQqzbgR3ve7Ft/lMJJ4cTfUVb0aXaStv/c6q/5/7 Qx9w7g+9FKNObcKS4ZXSjzNVap2w5v9p7K6jssreh40b2N01BqgjGGMr5j1i 59hjjYo41hgM2N2BLSZ2t6KOWMhGQCy6QwTpxlbM3zNr9sW71vNdrPX+OWdm zdInzjnP2fv+XE2axhzOeSkvP7QaULBkiAx6tuWGxa07suhkhQq2ltlSeemP 2FfO6VImsvS1AYb722qV4xMyy4ZJOZeHl1e4esrGwrOCDjW6JV6vznYpvTRH DnS13XurfapkhpSInNgjURwK/HqlhbOXrBu1rXXpKqlSZ+4s0yu3E6RkUI85 n6/5SvdqfS5U/PZMjfmY63Fm2SP15czI2J8uZsvEuCGJJQcmqa8nhtl9dUhR b6pcPlOzgLssOuFQf+fIROVqZn++xodk1b/mw0k2nYMM58Ef1frYJKnvu/6s 1XJyiopx/eTjf+SB7Dzt1P5GtWzZOeKGd78gZ6l+bWJM8bGh4qnvw+bo+7LL +n6swr09VRpfzZa9bb6cDK3hLC2T6jfq4BIoznod55DROs6mM++f+l82fG6z H/0xf8UTVaf3yk6bcp+I3+yZAZaG96X06ScHD5Z8ojbt+edS0TdPZGSrVvXW BYYrx3OF3j09/EDV7jVv+vIJWTK8WtCEa6mZyuR+vQWnfgpWZRweFFx8LViG 1JjXtvOGTPk71zPsz4bRcvtM299njfOSbWWdb5YdkSntnGv8lbk0WrqeM29r 7+ktq993KrBmTaY8qZ74bnJMlKxy75LhVdNbil+pat/iD1exdPslspb1bTnR 0HZcjXM5Ms7z5pKlU1Nk88f9h571T5KvW5d9f1reU7LDslP+fJcsflV/xE9a mCiP3hRqNepioFgs3JCwZnKyGuIb+8vArgnKL7F4nP/lCBkYkR7Wr2WyPKw8 T/YdTRarCpc3BN5/IPd3zelVJu2emDuGr1z71FWae6w98NIpR6qPHV720PBk adS5ncPEzcly5NiOwqUc3PP2fTUx2t+VmjGwzR8mWep+Vs2d8yt4K8+ZMzst OxrxP/vn2+n98/2NOn21dKev/pAP11Knxkp1j2+D7Wo9k3WJMb/6lcqQRtKt 6fOKqernS3tuj2/wUo3bdfC3SZsjZKvX7l+2HTijbmadWDIwa6M6PjpzxbSP OXKt6aWPi8akqnstZtR5/yFBVd92NuvOfW851qvi/iLNUlVT/5u9g8cnGt7f dM8mIZ7iOyToyBPbVOViGvDqSftElVLb5OqRDHeZMHPm8/GG37WNnOeZyKYE KXVglF3PBMP1MtJ+h3U/fzlao6RcnJotqny53Ndej8XMISozPihOrZ4y7Le4 kCQV8zHqTnurOOmy71vG4lMJMrxiOxNT81QpU7NEWIMdvjKj5XKroEKp8uHu 1LqXHBLlomORFm9be0nDQ4UGlGyULfv2pw6qcN5ZXtnXrBhexHD/d+F06ovQ m6qC+V3/KU6ZKsOucKt3TZ5Lu4Mn6rRp6Sn+zzOn1PDOluGPn3eaaO0rsTkT H1T9fFe+P73uUfNSppxybNz/14PRUjuzZJXNv7qIQ6RpRQfvdGmUsKVA3YEv pYFJueW2U93l4stLDzZXzTGcP+f1iF73RLyyj83vlhEm/dcW3XymdKasu3g1 1mxPiBw4vXf4VBcvGbNo92m369lS0S93/LNDvvLSzNI66NwjKZsT8Gjy2Gzp 6rlt8IJZAdLtl1KfYpMfy7fw6Su6vsuS2yOv+Cd5GL7XnSYdsqodrva1P+2U FJupGs51OpFb208evItXd5cEqbJ+YSkHTmcp5+vNk78k+uXNU/sbzVOnT546 yG5tmlpcxedz0uGH6mDu7B6um+LFZ9L1LhUM92dTbEa6nBrgpV4OOF+06Y54 MbuysO7UHWlq4WPnOq6vvFS1UZ9+XFkXLzVHNkxq7Z+mLM7/GNt74wMVWLFM Zt2p8dK58s8RY+zTVJnwib2fWburzZv7/Rr+Pl6eNjn3Zfn5NBU7pG3l39+5 K/ccvy91T8WL28iJM2d/ilUuwS2PPDmdZjiv9EoeWDJU1vXJiOhVNFiNXRg1 qI9riko8P21K+y4J4rjy/KRj/hmy7G3xikuDwqXz071FrSNDZFW6deS84pnS 69uw4l2Oh8jm8xUvxL4LE9MOX+yrVElXCV3/CO81IE6tvXtsns2lQGnWzvXb kiWBau2GB4UbtQlWJie81/aULAmuNCcu0XCenrwk6Z5NxH7p3jukSL/7ht9f Rr2kAN1L+lHKd1+nE7FiPdanb9HF50Xt+XLlwsOMfOfj/p59Oa3C9hQJq9rS cdHhRGlTJqyH2can4hr/+2TnXi/lcNtr6+Y2SpYtdp6tBp16Ia372Eq2fZo4 ea8esXeus1T2Wh9UtG9CvvNijbtl+pUzfyEvdg48cCsqXE6OdizjtjtNarbs aB6amyHniietu/g5WuzXT/nzRZFnkmZv3rD9qlBlc3jxs/43s9TnvxoO6jvU S6a6rPOuez1DbMKdDnQcEyz3s+f9Vm57pNT67Hh12LQ7KmnXmC2O9zJUib9P 1HjXL1Ym68+Nn/4cxerPTzHbxEOVdz2W/TVj2j+6mSUffsQXCBkTIq9/3e+4 faSbtNxk+c9+w+/ooNzlNiUM5++MRz/Xm7o/Uto6dFhdyCpDlq7c67v1bGje +837z/u+2MZ5Y7hVlCy9PnBPMZ906RZoWvJLrXDJefFXxsbSAYbryJ/DD97O km0zi1hbLgiUHwsPBjWxDpTgtBWL3aMy5diFOZYWG0MlV/dHfjXqjzCPcNxo HmFh1diJaUWSJXTyO6/vv0ZL0xUVv3s/i5fW69YNavs4RlaMDW763SRd7syM y423DpOUk3vcY3zT1MCAKp+mLPBUYXV7BPr0jReLIfYVH3qkKXNbz8j5UR6q gU/cp9M28bI3xOLbxr1hcvJT+9HxDpmS7jzbN7JK0P/8rnTSvyu9Z88LSctO l4RJReZdvhoprSyfl2haN/x/XCx37WJ10/v6yul9fQv1vr4aRt2Nprq7sWb8 EZtu9VOVf/emo2emxCmPoe+vtHobIR0SOi090TNSLlZvZTUvPFNqFhtb+bWP t+za7FW6Qocs8VvruyR89DM5kvpT3Mo2YfLRyI/apf0oY1dqpz7u0W7CSZWS puY3rnbZcUmcqutfv5dr0aC8PsVC3aew0n2K4UbdCo7n99/n5z5FXXVqOzA3 XT72qOes2gfJ+JkRgbUtY8Q5rdOHopcNv89j1wc51nyhnsavvrFvQ9D/nB/8 9flhw6hTDdtFPZIhWZ7V/V6ckc1WDm7Np+Xk9R2qGfUd8jt+Z03yzvI1s9TM 3SMv9njuq5J/8zzVr3iYjLHpOO/juHS1yjS1xLvtcWrYkpTWpxx98zoLe3Vn 4bPuLOR3vHDJ/3oKVXRPwVH3FOwunPHaOT9ClGm7XNvZgbJp8e3Bp7plypbT PX/qWTVRLj8Or527LlUqxg6ePm/ZA7mS2d5iTrNMmV25WqP7b0OkbBPTeT1y QuWf99Y1diUkypMpL2eYfA0Vx4LtppkfTJIHm1TpwaZJqnw1y3cNnVJUl/om 3nbVPPLdhz/93Nhpa+ZmyoBem9b0HRkt27wq2Z766CUV1hX7WE4lSdmTbs+2 2STL0qMB3qqzj7xbeH+Uy/rb0uH37Ng/s7Jlg2vtLiOW+cnQE38l94j+R6aG 9qhQqmi4zG6fOH2cW5Z03Zd6ZfeVYGnRq6rNu90n5e25AVduzMyWmOkdrqb8 kSRdAj57vTG9IssLt41poVLkTfPSrYplZ8iztk32O350lufR6w/OePNCKi1a cyu6dqbc6H98heP1MGm/4Mi0V/NCJLnu+LCSpTJl76ztZrZ9QsT+lHVfk/bh MvpQjVcPHFOVSdD2xSb341XJ3kevvt0XIDc9GvU5PjFNtfZc/jDlU7waGPVn yyspD6Tsy57ysnWaWurg12tZ0QQ1vUjLCz3ueeXrqEx0ePs19l2GjPll1NFm i8LlduCWtGXzQ6TO/pPbKoxKV9ctjk3+3CxOdZ4bvujS2gApUelvlz7z0lWd 54NaX82MVTe8lh4bdCLgfz7nPvpzjvfe3ch7x0vCT8JNwsvGz8bNxjHHNccz xz3HQcc/x/XG+cb3xjfHO8c5z/PQtY+Oi84cKXOlzJPioeOj46Iz/8k8KHOg +Cl4Kjgq7J9mPzX7qNkfzH5h9gnz+vJ6c7/B8xeex+AJMA/PfDxz8cx1M+fN fDdzhswdMm/IHCxzsczD4t3g3+De4J7goOCfcL/F/Rf3XbgYOBn4GMyvMs/K HCvz/Mz3M9fP/Dnz6MyhM3fNHDbz11yPuT5zXcZhwWXBY2Eulzld5nNxK3As 8CuYp2W+lrla5t6Zg2f+nXUg1oVYD2I+mXll5pS5v+F+h/sc9u2xj4/9e/g7 eDw4POxvY78b+9zwVvBX8twV/XyT550852TfEvuY2L+EN4E/gTvBPh729bCf h/VI1idZl+T3P88DeA7Afhf2v7DvhfUz1tNYR2M9jPWxvHUxvR7G+hjrYnhM +Ey4TDgsuCx4LPgOeA84D6xzs+7NejfrvqwDs/6LU4ZbhlfGPlH2jbJflOsW 1zGuX6zfsJ7DOg7rGaxvsK7Bc3/WAXj+j4+Dl4OTwzo96/as1/PcmefQPH/m uSrPWXm+yvNEni/yXJHnXzwP4zkYz1l47sLzFvYzsb+JfU0FFo47uWdVoPIu vnR2kY/xavGkjpaNu6ZKaEzElaj7z1RAocYljtdPUfvdW40I+pooON243Xjd uNs43PjbONq42njauNg42fjYeNb41rjW+NR41TjVONS41HjUeNP407jTuNI4 0/jS+NF40jjSP868cf86MkQlDB1a/17bOFVge1ibqNNpeQ44LjgeuLN2vM9q x9tLO9646jjr+Op46PjouOi45zjo+Oc45rjmeOb443jkOOQ447jjeOM44Ljg eOB43/jfuN+43jjf+N743XjeON443bjdeN143PjcuNx47vjuuO733K3HRoxN UOOswvf5PElRIT3jnm6wCspz23Hc8dtxunG78brxtfG2cbZxwHHB8cBxvXG+ 8b3xl/GYcZj5nYlnjGP8waiLigPM7yh+V/F7ivkBvE+eP+OS45Tjk+OD44Xj hI/TbjWONX71lMS/kpKaRckZu5NmN9zSZY3DoQIptuF5HjE+MS4xni++L64v Hi4+Li4uLi1OLT5tSyMPvK32YHFLcUzxS/HN8c5xzvHN8c5xznEONxg54fjX /L7nd/02o+M42HjT+NO403jT+NM4b3jN+M24zXjN+M24zXjHuMh4yBzHG8ND xsnCzaqhvSzj4zjD+FB4UTjAxsdxgO20f+SpPaRo7SDh8OLy4vHi5OLm4uXi /uDm4uXi4OPi4+F/1Q6+p3bx8fBx6nHr8epx1XHW8dXxyvHLccvxyvHLccvx wfHCccLxwfHCccJ31rdf/Fe7WPU+bZij69B09Sw6ZU5nlyDB18bbxtnGrcax xq/Grcaxxq/Gg8aHxoXGNcY5xjfGHcYhxh/GHcYhxh/G/8UDxgHG/8UDxgHG c8d3x3Xvt3Z9k6qG8/D33jdqPS+ToiZ9vnhllktoXg+APgBdAJx33He8d1x1 nHV8dVxynHJ8clxvnG98b1xsnGx8bDxrfGtca/xlPGYcZrxj/GPcY3oG9A3o GtAPoCdARwCvH78ftx8vHj8eNx4vHj8eNx6HHZcdjx2HHZcdjx3fHO8c5xzf HO8c5xzXG+cb3xvXG+cb3xsvGz8bNxu3Gscavxq3Gscavxo/Gk8aRxo/Gk8a RxpPHF8cVxyfHa8dp50OHF04enB40/jTuNP0z+ih0UFbvcR957Wtnur27Yfd Kq9IU2MHZjs43oyXRJ+ktoVqK9WgyYTjL0zS1PM3pTzX7EwQnFDcULxQfEy8 TJxM3EkcSvxJ9n+zHxxfcbZR95z1EXpI9JHoIjEXwZwE8xF4Z/hnuGe42zjc +Nu4yTjK+Mm4yTjK+Ml01+iw0V9r/z1m4GmnJ8p5upnP8s7RqkvQw7hHXTLz emn00+im4fbi+OL30jmje0bvDJcWpxaflm4ZHTP6ZfiteK44rnTI6JLRI8MD xQfFBcW7xL/EvcRzxHfEdcQlxCnEJ6RfRc+KjhXuHg4f/h771Nm3zn513Doc O/w6/G48bxxven70/ej6MZfCnArzKfTz6OnR0cObxp/GnV5r1G3BnaaHRx+P Lh7+Mv407jTH8adxp9uMmWa9eEeY/LD5NPRIgUyZUd9zpq1laJ7DW9roPo2e HH05unK2vY+vPjwgSE4G3TFLcEqXCFvTO5bLX+R14OjC0YN7YnSfhgdLv42e Gx03/FM8VBxU4/s3HFR6bPTZ6LLhgeKD4oIa39fhguJd4l/iXuJd4l/iXuI5 4jviOnJfh++I68j8A/MQzEHg1uHY4SV2NDqOl4jvj/eP84/vj/eP8/+b3r+O 64/z39/oOM4/DjsuOx47rjfON743XjN+M24zrjHOMb4x/i8eMA4wLi1OLT4t Li1OLT4t3ij+KO4obiaOJn4mviTeJM5kkcLdj/9VIlOtarvW2avYDXW4V4MF XZe8EHoG9A3oGuDa49zj2+O547vjuuN643zje+NW41jjV+P24vji99IDoA9A FwAXHiceHx4/HU8dRx03HEccPxwvGz8bNxtXGmcaXxp/GY8ZhxkvGD8YNxgn FzcXLxfXFecV3xXPFN8U1xTfE+8T55P+AT0EOgj0A+gJ0BGgY0rXlJ4pnj6+ Pq4+vjzePM48fVB6oXRC8cTxxXHF6XHS56TLidON243XjVuNY41fTeeS7iW9 S/xlPGYcZjxifGJcYvqR9CTpSOLn4uni6OLJ4sviytKvpWdLx5YuLJ1Y+rB0 QOmC0gPF48bnxuXGTcZRxk+mQ0mXkh4lHRG6IvRE6IjQFaEnwr4o9kmxP4r9 T+yHYh8U86XMmzJnSo+WPi1dWvYhsS+J/UjMczLfyVwnfVZ6rXRa2VfEPiP2 F9E3pXdK5xR3G4cbf5t9QuwbYr8Q+3vY78M+H+bxmM9jLo+OAl0Fegp0FOgq 0FPAVcdZx1fHZcZpxmem70Lvhc4LfRd6L3Re6LvQe6HzMkD3Xei9TNKdF3xt vG2cbbovdGDov9BNoaNCP4U+BL0IOhH0Eugn0E2gH0BPgI4A/j4ePw4/vjze PM483jf+9/9zv/9zq3Gs8avxnfGecZ5xkHGR8ZDpYdPHpouNX4xnjGOMI4wr jCeMF4wfjBuMC4wTjA+MC4wTjA+Md4x/jHuMF4wfjBtMv4SeCR0T7pPpmdAx wRfGG8YZNr5PwxmmB0Mfhi4MvjzePM48nQO6B/QO8NDx0XHR6XbQ8aDfwf5R 9pOyj5TeCf0Tuid0Puh+0Pugk003m142fWt613Su6VLTqaZPTTeajjT9aLrO dJ7pO9NdpsNMf5kuMp1k+sj0p+lR06Gml0w/mW4yvWT6yXST8zrHuntM7xgn GjcaLxonGjcaLxonGjcaLxrfGe8Z5xk/Gk8aRxo/Gk8aRxo/Gk8aRxonGjca LzrPidZuNF40TjRuNF40TjRuNF40HjQ+NC40bi+OL34vfi6eLo4uji2uLZ4t fiueK44r7ioOK/4qjjOuM/skcZxDjI7jKeMrM1eIp3zC6DgOMi4yHjIOMi4y LhAeMW4xXjHH8Xjwitlnxr4z9psl5XMc15X9/viuuK44r+z/x9HG1cbTxrPG t8a1xrPGt8a1xpXGmcaXxpXGmcaXxkfGS8ZJxinGLcYrxinGLcYrxgvGD8YN xqvFr8WtxavFr8WtxSvHL8ctx+nG7cbrxsXGycbHxrnGvca7xpvGn8adxn3G gcZ/xl/GY8ZhxinGLcYrxhfGG8YZxv/FA8YBxmHHZcdjx0PHR8dFxyXHKccn xyXHKccnx/XG+cb3xvXG+cb3xt3G4cbfxt3G4cbfxsXGycbHxqfGq8apxqfG q8apxonGjcaLxn3GgcZ/xn3GgcZ/xnHGdcZzxnHGdcZzxkfGS8ZJxkfGS8ZJ xkfGS8ZJxkfGS8ZJxqvFr2VeGx8WLxYn9pheB79rtA6O84v7i/eLp4mviauJ O4lDiT+Jg4yLjIeMg4yLjIeMI4wrjCeM64rziu+Kc4p7ineK74n3ifOJ54jv iOuI54jviOuIh4iPiIuIV4KPiIuIT41XjVON74z3jPOMz4vXi9OLz4vXi9Mb oR1bXNvp2rPFLcUxxS/FLcUxxS/FA8UHxQXFA8UHxQXFecR9xHvEecR9xHvc q71F/MVr2l3EW8RfxF3E78bzxvHG78bzxvHGlcaZxpfGlV6onenL2pfGlcaZ xpfGlcaZxpfGd8Z7xnnGR8ZLxknGR8ZLxknGEcYVxhPGEcYVxhPGEcYVxhPG 58XrxenF58XrxenFpcWpxafFpcWpxafFpcWpxafFpcWpxafFh8WLxYnFh8WL xYnFe8V/xX3Fe8V/xX3FUcVVxVP9bOQnv9M+Jy4nTic+Jy4nTic+Jy4nTic+ Jy48Tjw+PC48Tjw+PP44HjkO+WTtj5/QHvlr7ZDjZeNn42bjZeNn42bjLOMu 4y3jLOMu4y3j8OLy4vHi8OLy4vHiz+LR4tDizuPQ48/jmOOa45njeuN843vj PuNA4z/j+eL74vri2uPc49vjtuO447fjtuO447fjquOs46vjTeNP407jCOMK 4wnjCOMK4wnj8OLy4vHi8OLy4vHi3uLg4t820A7sdu3CftceLL0B+gN0B/D9 8f5x/vH98f5x/vH98f5x/vHl8eZx5nHYcdnx2HHYcdnzPHbtleOX45bjleOX 45bjleOX45bjeuN843vjeuN843vjYuNk42PjYuNk42PjPuNA4z/jPuNA4z/j JuMo4yfjFOMW4xXjFOMW4xXj9uL44vfi9uL44vfi9uL44vfin+Kh4qDin+Kh 4qDi9+H54fjhkOKS4pHikOKS4pHi+uH84fvhe+J94nzie+J94nzib+Jx4nDi b+Jx4nDiY+Jl4mTiV+JZ4ljiV+JZ4ljmt08DFxgnGB8Yz7e/0e/3WUa/0/Fy cZBxkfGQcZNxlPGTcZBxkfGQcWlxavFpcV1xXvFdcWBxYfFgcVRxVfFUcYdx iPGHcYpxi/GK8X/xgHGA8X/xgHGA8XPxdHF08VvxXHFc8VXxVnFWcV1xXvFd 8U/xUHFQcZxxnfGc8ZTxlXGV8XzxfXF9cXJxc/FycTlxOvE58SLxI3EjF20q dbxSv0ti7t6hRlzBpWJ23XNA/7c5ohJWRa9a46luN+m/wOX1JdXApm3pb7ty 5FXfcuI74JncenTws2uQu3x27eL14HO2DE8/MfDGZl/VeMmPcfNGP1G/3BtS KnNJtvy9f5T7DK9nYjf+WNrKUX7SIeqI66qB2WJq1nPPrKqPlafdlp6l//FX FXx3tts3PVvwuPG5cblxtHG18bTxo/GkcaTzvGntT+NO4zjjOuM54yPjJeMk 47fiueK44ufi6eLo4nrjfON743Hjc+Ny4y/jMeMw4xTjFuMV4/Pi9eL04s/i 0eLQ4gvjDeMM4/Di8uLx4vDi8uLx4nXid+J24nnhe+F64Xnhe+F64XrjfON7 41/jYeNg40rjTONL47ngu+C64Ong6ODn7MzneIzRPCAuE84O7g7eDs4O7g7e Dv4LHgwODP4LHgwODF4JfgluSSX9PMFaP0/IMXqeQCecPjj+ER4SDpLx/5+u KG4jjiN+44jXb8zPFA+TxkVG/uNm4iW301uGux3NyvPp8Opw6ujZ07ena0/H mq41PWs6pnRN6Zni6ePr4+rjs+O147TjgOOC44HjZOFm4WXh5uDo4Ofg5uDo 4OfgwuDE4MPgUeJT4lLimuGc4Zvh8uP04/Pjy+PN48zjleOX45bjVuNY41fj vuHA4b/heeF74Xrh/uAA4f/g1+DZ4NjgLeIv4i4ONb+308QiW9lsvFN9TJC/ cvq2rsPXPT5Ct5WOK/1WPD58Ply+GTdbP8oyM5wXfhsz8bNDlGog5QOH/hmT 16GnS0+Pnn42PW062vSM6RvTNab7SweY/i99XHq5dHLx/vD/cP/w/vD/cP9w /+kA4P/jguGE4YPhguGE4YPhW+Fd4VzhW+Fd4VzhK+Et4SzhK+Et4SzhmOOa 45njDeEP4Q7hDVlof8hdu0M4mLiYeJg4mLiYeJh4kfiRuJF4kfiRuJE4xbjF eMU4xbjFeMX3V2yd1iAoRGbbVbP3TDLcH/ywC1hmG57n1+DZ4Njgl+GZ4Zjh l+GZ4Zjh+eL74vri+eL74vqmaZ8Xr7ePdnrxefF6cXonOdmUCBuaoCYdG++1 a3Cqctx2stvxYD/5uVKlo/Xd49XU9tUfVxmZpsLMzzYbXdU7zyXG992nXV88 ZXxlXGW8Zvxm3GacZdxlvGWcZdxlvGUcZ1xnPGecZdxlvGWcZdxlvGWcZdxl vOU4u+FtP10PUtXDW47yWhSn6rvk1B78NE1wl/AYcBjmaDc4VbvBb7QbjF+P Z49jj1+PZ49jb6vdNy/twOG/4b7hwOG/4YPjheOEH89nfRZ/9oDRugYOrJPR +ixzgvg0eKfGx/FqjOcE8Tzzmx80niPAk89v3baJ0fos67B4vvi+uL70DOgb 0DXABcYJxgfG4cXlxePFA8IHwgXCf8GDwYHB38TjxOHEecF9wXvBo8SnxKXE o8SnxKXEu8e/x73Ho8SnxKXEr8ezx7HHrcOxw6/D48bnxuXGccZ1xnPGTcZR xk/GacVtxWvFIcUlxSM1djC478XNxNHEz8S1wbnBt8GXxJvEmcTdw+HD38M1 xjnGN8ZFwknCR3LVzizurLn2ZvGD8IRwhPBh8WJxYnE/cUDxP3E/cUDxP/Ex 8TJxMnF5cHrweXAzcTTxM/Ec8R1xHfG48blxufGd8Z5xnvGd8Z5xnulV0K+g W0GPgT4DXQb8MjwzHDP6BPQK6BRMHNg3eH6FbDWxp2Vp10Nr3bo3rrNqcnKo 4MzizuLN4szizuLN4rDjsuOx47DjsuOx41bjWONX0xGhK0JPhI4IXRF6InQ7 6HjQ76DbQceDfgfdDjoe9DvoatDZoK9BV4POBn0Nuhp0Nuhr0LGga0HPIq9j obsW9CzKvrnn883we2xk8vkK3nP9JCLaZ0zipWyhb0Hvgs4F/QZ6DnQccOpx 6/Hq6crQmaEvg4eOj46LjruNw42/jU+NV41TjWeNb41rTe+E/gndE7xm/Gbc Zrxm/GbcZnoq9FXoquBB40PjQtM1oXNC3wQfEy8TJ5MeA30Gugw4tri2eLY4 tri2eLZ4uPi4uLi4ojij+KI4pLikeKR49/j3uPe47Tju+O34d3h4OHj44Hjh OOE4sLiweLB4pvimuKbtmmyL/2lqjrr/R6ueJxsvcPtSJ9234eHHgreOv467 jreOv467jmeKb4primeKb4prikONS41HjVeLX4tbi1eLX4tbi8eKz4rLWsLU bfXZJTlqyDnn9NE757mFPT7k1C/dW+gx0Gegy0CPgT4DXQa6DnQe6DvQV6C3 QGeBvgK9BToLOJ64nnie9JDoI9FFontEB4n+ET4mXiZOJp0euj30eujl0M+h m0Ofhl4NnRrccBxx/HCX3aa5F1Y+UAtafPljsV2a6nvtVffc5HjBc8R3xHXE c8R3xHW0q9avlneTh9Jy+g2v9iOyRTrHjL4wMzDPm8Ofw53rXqTDyBHNPGT+ olM1Gn/MlJ/TJ794djIyz6HDpcOjw6HDpcOjw8nFzcXLXTJ6TqFWFhGyak+9 QxXPGq6nX7vtMB0QmucP4hHiEOZ3HE8QXxBXML/jdAXoDNAXoCtAZ4C+gLGH hq9I34XeC52X/vp4oNFxHElcSTxJ3NJJ2jF9of1Sc5cmg0J3p6rnbvaDTJd7 K2li1XzFjQTBW8RfxF3EN8Q7xDnEK8QvxC209IxM31k+U+59TT73ND1M5rkm bu+yMiTPP8VDxUHFYcRlxGPEBcYJxgfGO8Y/xj3GL8YzxjHGScRNxEusVn5G mVk7smWQqUXvP1bcFHebsD/3NwvK81vxXHFc30z06TP9e5x4zuy+Y/HnWxLR b+P28DfpEh1rPfRHt0i567G7VoLhfuXxTIcJM25m5PmheKI4onQU6CrQU8Cd xKHEn8SRxJXEk8SFxInEh6wd3njHbJNYWb3QfuvjXRlyc2/Hp9LdUwa/elux 6d+x4jzz97mD7TOkYalPGc2GeMq9Vzud2/k/VNcDGnRvaZmmzhUsemFWVrzg KeMr4yrjJuMo4yfjJuMo4yfjJuMo4yfjJuMo4yevGTu4+uifr8rBzR7tO1TJ kRo/2V1pM903z+fBW8VZNXZ7cFZxUXFS8VFxVIcbHc/vv89vrh+nGLcYrxiP 3tloPyTuKg4r/iqdD7of9D7oLtBhoL/wSbu+VkauL50euj30evBz8XRxdHFy cXPxcnFycXPxculh0Megi0GPgT4DXQY8fXx9XH16VPSp6FLRo6JPRZfqVE6/ zl2Ts2TB1MiYL5P9ZGC19ZPMCgbmOci4yHjIOMi4yHjIuOQ45fjkdKHoRNGH wsvGz8bNxsXGycbHxrPGt8a1xmHHZcdjL212dG/GwXRVr1DLmV2sPJTvgJ59 I5u9FJP4y5uPXc1Q/aoEmLzZHaq2bqq1ebV7uOCo4qriqeKo4qriqdYe8O1M tSfxaumE/hfm2KSqurHdzfcsDJRfLCw+Wh17JlMqTF3414EsiX5Ut+tZkxB5 ob3QeO2FPtZeKB0yumT0yMapG4sffcqQDrd6b/06NVim2R297dInQlqt6Gb2 rnGmnHkY7lsiJlSKuZUfVKJyqPymHdEORo5ofu5TiRppbR+szFT1ukyx2WG9 2a3cT3PXL64WIw3mTuuze3amGtIsZlDTtU5qiUdVr4FDY+Rrg27fX9/PUNcn l0pdYH1H7Z7g9ibJKlZax/0odNcuS7l3G+c8edcGtzIuNY9MKhUpLiE9LlQb nqmKRv8c5J9+XqUFWdR12RsjEdqDy9Q+3C3twm0/M6p586Xx6uj9qFSThv5q 7KNJAR+yU+VoiQDrVcUfS2b4dbML9bNlQeH11z1DA6XQgTWf/LulKKn6feXQ qw/VFguH158GJMlnKweP4gdequT7yzvW3hGqKnpbJ5ycmyre+vnkXqPnk0fP vJ9rO8xXIkZYDEm6GyQ1KmW7WtzMEg/thVlrP2yxdsO2nfENaB1suI9+vWjQ 4V4ZYtva83RnuzAxneF4ckuHMEnafX/yX6mZMuOPB/XK1wqQoWuzgzZMSpfr kRd+L3srWg7XutDuzKBwmeC4Y2x4pTQxXR/duNnXFzJno7PTtNQI6bDieveb w1NUzba2f99ck6B2bWpRcG98sKztnGNdbE6WcnjzNeDU6RA16Oa24Vf3+kiB q2dKJgYqtbLtl4nPhuxXC9OGujRwyxH7qp5plVKequ9V9rZv9iZFjfpn8pZG Zonil89zZuPzbZI+35YNnTD+SesUSajnU+VY4ktp4dLvyNa7kVLhltP1TpGP 1KRPxfdvWJqkbv5zNOT822TZfsSjoGVcgrz82+XL5n6pMsLKr8L114//vz3b i3ofOPunI/V+6il6H/WKys1dx3h7qz79XsY5moapmKlDL5ovyZLlb8qOj6pn +P34JfxSQddU5ba9XIXuvqFSJbDb7Ue7k+Vh/6cXrtndlKh19Va7rEmWmnrf 8xG9D3qn3v+8R+/za6r3/WXr/X70h+gRxeoOUYJ+Lm+vn9Pn6ufz04y6hIv1 +kU93Z97pXt0DrpD98aoM9VcP/d7rJ/XL9PP73fr5/bsb6fPSZdzqr4fpc9A l+GA9vSLal8fV5/OBN0JehMDngaFHKkfpBbNvuCnqsUr8Tpxd8GTVGl80GV7 50hfZd5qQLf7fZLVo167lje9nSQX85kb7ajdmxvavems3ZstUxe4dh2zUVWv Nbpp+a6XVeCuA+1Lv8mR4lvWvbkW6y7n47ellSiYKUcPT1vTxSdGFmhfZZyR r8Jcf1M9199Hz/Ub399a6Ptb86ApuRHT0qVU5PSUJfOixKfkNe/fjkTIxenn XcqYx8iv8719PrsbruOmJlYZO4IN97dN7ZLuZqtPlYfFfRz5VC1xmml2s8Zj KefXcnErw+uya164+TuzIGV6RtX4/iT/81WBW+dmzTK8XtWWTwgoaXj9vsQ1 urDa8LrhSpzQzoS59iWGaPfBSzsQXtp/yPW+vzXuaYJ67TJmZcEaKaq1f3VH k7jgvN6iq/68vNSfE9vCJnXMPoequY/DTte6FKc2LH9nu6BgmhTcYL6r+Rcf ORv93rJM8TSxqvd62Lpd8VLYz2/s17b2snjph5UlL3hIYv0X/cecy5EdzRqs 73IxTm0NbvrH77mhakGVtuUsC6XJEYdXrbcZXsfDdYZnRBle18E+nTxbG15P 5mbL6TnaW3p+tqmeS2ROMU7PJ/J5nWrUEzmRj79x1+g5eVP9fRmlzxuh+ryx TJ83Jma2Gvzv69XmZJbnY8Prd3/Hi9aTDa+bdaVSFk12xIjLe1PLwhWTZU7N FmuLR7yU7fo8M1KfZ6L0eabDsNJ3LIKypGTzL2ZmG57K+ZILrGJKB8s2fd6L NzrvvUqo2q5DnSjJvXrPPTA6QQIc/Ts0n5Ukjl+rVRq2MVsiR1kVm9vCWzwi fZe16+IvqbdGuOywylRLi9kV7lI9Sp13bBZ164avlNPnKyd9vgrU56vx+nz1 bcR/56s/c/47X/E95HvJ99F4rpn3hU423ey3+jwWrK/Tt/V1+76+Xj/W/xyr //1dfZzvJ9/X3/X3dH/9408LTrisbDPm3e9daoOamDNt/bfXORKm36ff9fu2 XL9fO/Tf00T/vavKf3/fr3q+4JaeL8jQ8wXNTS51PGt4/9IWOZaeuC1GHH4U efIl/GXedeFnfV14qK8LucEdg3IM3/PAMUMedjJ875+NeHMx3vB9P673s1nr /Wx+ej/bvg8+baZ99hAX0yuHi9tvVo5XK21wOfXvXFib/W1iEmTZkoPvftSI kilTb9z49/3Nb19rTX3d/EtfNy/q6yYuCeczzmNb9P3GDX2/sVLfb4zVfz4n /ecN0X/OpjG1S/UwfG7mDyoUss3wOfIdPDjknuHz463PI0P1ecVTn0/GGfVA 3+vn3sn6czBLfy7e6c/DV/05m6g/d3ze+D7z/Y7V32vjdfw9+jrIP1fV/36z Pj5W32+56/uvVfq+q5WRm2qp3dS5Ty0v/Xte/nF5sP2/5+lKdSr2+Pf8XM/o fmy2vh+r3X2kg1mxNIl+2uPq4iK+0tvmwCx3w3mP8wi9UAt9PgnW+xzc9D6H s3qfg/F6wUf9unH+XavPx0n6PLyma4nt6w3f8+nNbPr++71Pj2tR+GfD9728 UafJXF+nvujfod3179AS+nfoz0a9+zB9H3KoRfM2kYbr5Z3k5/uKPnaXSKu0 K5sM181p+dwPfPYr3aWe4fzl0bFP9r/ns6GdBx15bjiP8bqP0e8Dr///AVqM C5g= "]], AutomaticImageSize->True, Axes->True, BoxRatios->{1, 1, 0.4}, ImageSize->{362.18793053232923`, 279.30220842919783`}, Method->{"RotationControl" -> "Globe"}, PlotRange-> NCache[{{0, 2 Pi}, {0, 2 Pi}, {-0.9999912474224566, 0.9999989945521549}}, {{0, 6.283185307179586}, { 0, 6.283185307179586}, {-0.9999912474224566, 0.9999989945521549}}], PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}, ViewPoint->{1.3659294817570578`, -2.4169480933669827`, 1.9345796868665321`}, ViewVertical->{0., 0., 1.}]], "Output", CellChangeTimes->{{3.578915392892733*^9, 3.578915396551897*^9}, 3.578915661528022*^9, {3.578916409869656*^9, 3.5789164131034107`*^9}, 3.578917027988261*^9, 3.578933952484123*^9}] }, Open ]], Cell["And here' s the anaglyph:", "Text", CellChangeTimes->{{3.578915633521426*^9, 3.57891565019311*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Anaglyph", "[", RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Sin", "[", RowBox[{"x", " ", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}]}], "]"}], "]"}]], "Input", CellChangeTimes->{{3.578915401824279*^9, 3.578915404329443*^9}, 3.578915666198135*^9}], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsvWl0U8fW/rl7+NCrP/Ravdb/a3ev/tLrZS7AZh7iAEkggUAguQmBkIRc k5DkXgLhBhIS5skTlmxZsiRb8oTnSdjG86RZ1uB5Np5tMDZmNISEVO+qIxkD Boxx8t6bnGcdxLEs1TmWVD/t/dSuOv/vp/98x/d/BoB9/xvevPPJdz57935y cPP/ij+8evDbv3/6v+DO+/8TwOf4j+1TUaJEiRIlSpQoUaJEiRIlSpQoUaJE iRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJE iRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJE iRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJE iRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJE iRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJEiRIlSpQoUaJEiRIlShTXMKU9 /93nIEqUqP8UtVL6HqVxlP7y330mokSJ+o/QPUr/H0or/rtPQ5QoUf9BOkLp /6D0A0q/5wx5toBSH88mSpSov6xeo3Qn30EU+D39YeCBxqhEgIgS9ZfVx5QG 8R350yEAnp1HHuDry7YxABEZIkrUX0QlPElBBVN6aLwHwJj9h2TwQMO9IzJE lKi/mDZTqqR0D6VXnvgVPPqjmwajxHhMT2GIKFGi/pS69cQ94NnGymc0zKDj cWOsxjBEDEJEiforCB7dd//ICfBQY7jxGF4e13gMESVK1J9J40PAk3o8dg9q 9XiRyVM1ChCRIaJE/Vn0DGjQ8biB96yndPvEufFYC48yRJQoUf9xGqfvjzU0 nuDGCkrX8hr1XZTuFZ4OwLZJaBQgIkNEifoP0fiJxhPO59juvMLXdxWlWyj9 hNJveN0pLLVMnhuPHXeUIY+ZKqJEifr30LNzk7Ea7cIreHqy2tcXg42vKP2B 0oBl5ZKN5fBZOT1YPgXoePRMRhkylc2KEiVqshp3vPVpY6w+nqdgVvIRhhm+ vu9QupvSo4uL5ZuKtJ8VwoFCGlhIw/OmGB2jJyAyRJSo/24919B4TD78KT/w WzmlJ3x9N1G6a3XB4Y+KFO/ma767CIE5VJtD07N+J248cjKjABEZIkrUH6IJ GhqP6RVK3+dTWvC5NZQWAWzdbtu5I++Hg/myjXmavTkQcoFmZ1BTOnUkvyQ6 Jj626yMyRJSo318TNzTGSoDGPj6GEsgbKQRIBPhEZj8Ymit5r0TzdbbqnA4y 0qkzhTqSpowbL9LOKEOeHTiJEiXqhTQ5aKzk4617+eTZVO6FwqZs5EaC7vIu gP0OZ1DMxcjPs1V+mZCcxoINe+LLcGPFY9x48aZ8RIaIEjVFelFDQ9BrvA9+ SOm3fNpsGqXbNuuU3+XCW5lxkso9APua6gLqclX/zFedzIT4VGpJeklubKB0 I6Vf4gmvKqcfO18ydBEZIkrU5DQ5QwPGbO/yObP+lCZuTv/sQPaBiAJIL47f c/EAwHeNDX61+ap/lSqPZEB0KtUnUnsCtZ2fdH/fTukBSj/D427LoZ8W0MPm qTJaRxlCRYaIEvVMwbjjrRPoMvj4rymVUZrF93dTeurNlNivMzPP5XyTWQC1 ZXGf66LU+qMAp2oKleZMxekciEihJYm0Ip7a4ibX2ZfwSCOB0rDFmd+fKwL/ C/RI9pQP0PiMyxARI6JEcU3O0EAt98QYAZSm8HZ2fZF97PUkza60tLMXDibn nnQUwZ5c7Y+pZwBO1xQrqjLk5wpBkUzzebBhnSQ38DntlOop1a3PiI0thMoi mp9ONWm/39juIzPsRIaI+strcoYGahOlUZS+LcQYlMYB0z8ADgEoP0lKOZ5+ LC77lDkfGgs1Jy9Izl8MBpBXpoXJy0GbSbN5sGGNnURPBw83ygCy7tyIHahX d5ZBUxatedkBmono8aVCRIaI+otpcoaGoI28rCuPX1plJ6WHKdV8kQnnCr7T GY7W2kMAEg+lJGgyg8suQkN+ZGCeUpmmQKy4UsCZAgkXITOeWmOoJYaao16o s2NgY+Sn3QrAuHFzKO5Kvbq9BJqzGTecMVOCjgkO7z4+zV9kiKg/uyadm1A+ lrGHV2hkUFpN6ReUHlwVK/dNzTuTA8nFfg6zDCDuaEacIk2RfwHqL0JdDkRn xSA3nEkyR1JIejHkpVJLNNtehBtb+LUYMvHkj15rLBtm3Bi+En+lQd1WCM0X p4ob8OLzdsdZr0xkiKg/nV4GGvjc65R+TulJfgU3C6XOMMvRzl7JjoSMoxkQ kyc1lUciIs7mgCoDsjKgNhtqshRJ+XAxHXkSYk+QXjRA2QV3x3yR7rmF26GR lDbu7YQLXSWt97MB4i8jN4qgJZfWJE8JN3Zymxe+MFFt7eTLQsbeJTJE1L+l br7Ig18SGiX8KrGf8LXN1ZQWhZjMOVV+jW2qoW74MRXUWVBcmNBmQHJoonMY Nyp1UJ0pzyyFkmzkhoRvYOHz2kwatk2sb/pwDxa5EbDWZfl7LcTVF1UO65Ab fXXK1iJozaO1KS/PDWE0+SRJgE91VFn6Mq2Nv2iqyBBR/x4qpHT2hB88/mDr xD7D+EUs5eOtjbyFwwBhn+uy/Isg1QqVdbEDbXBCB6oLcPEiNJVqACKTCqAw h9ulgMQAU4EcoWGLk1hjQQgzjJFseyFuLCk48W6p5RsjhFkLq+sTkRtdVZwb +bQulTqjX5IbC7nfCytiEj+PZ01V5L9Ma2NPXmSIqH8fjfAlcaZN4JEv44JS HmN8QelpXjVRQWk79vy+W5EfJ8Kx7MK4sjyzA/oboK8uIfoi5OVCdT5yQ4Wb vjCF26EhzuQQAAVAEG6WaMYNRyI1RlADburndvb1nvPfvTr15CcZmh+zITw/ z1oc1TwQj822YJ5ykdalvzw3VvKjdAmwu9E7NasMParxF00VGSLqD9RJ/u3/ XG68TG6CyuHjJtc9uUkJ9qmCNmgbYJ3rcGa2Ok9XYoDOyoxuV0xSIZQWITRw U9TlyIVIw5EosSdgeqIECMTNHAVmLXWlMGLoVWx7Xt/EX5fh7fqMXQBHEEfH UsyxKVCWEeW8lIDNNhVCXRqtz2B5ivX5FHrGUXA7Q6kN/z5VP/T30PaSP6Am RGSIqD9SmDIUUdrxPG68JDSC+BBGHefGMKVa7MLBJtDV2mo74eYQUiEtuiCl qAxThjSOC7CUYaShqbkg49DAMENij4eK80G2OFVtFnIjwKQJMEZCZTqHhpKW K5/dN4HPeclmQxzwaWvPIcyPDiXlRSZBaZLG2cG40VIGrjjakEldsdT6fAo9 TV78WN8C6EKHCo+0g6ONduqnPuQYr8GnrtwulqqKmmp585T/TUr/D15BMa4m XdYl6HOemyRS6hS+ji/dgb9nwOkifWJFSUUjDPXBtR4kRpzRGAMQ1aZXtZRi 72ZhRlU6I4YrRdKYH2SLBWtMoCU6sC4nAMDfGOFvUIM1lpaHs61M8YyOCdxX kWB+BKCPr4DqpgPIon8l5CkSID8xsjonsbEJw5hgZww06CjSY7LceFhpDxAJ wGIqXR10mWltwh/AjVE95xJUIkNEvbRKeeVVLKX/N/ccHtNLGhpC+xjMHKU0 hrePrbU13YCbD+BoTmG0PktfmcFtgBgeZmBfUzUVyhvyZfxOqSsZE5Nge0JQ RTwSA8xRAWatv0mDxPAD8NOrACMNJAbb5M/oR5so/Qelp7Dxf6Rnp1jA4vq2 pz4YIC8kHrLj46oTEu1ODG+CHTHQeIFWnn9JbnyM4RCevaSgzGlksVN3Ba2a mlqy0aNMPIB5zuVjRIaIegl1j5envGRuQvkFYY08MRE6lAtvM1vstUOG2w/g 9n1doiHRVsVqy3trNN1OJfc8ZXU5stqskOpMzEGYoYG5CUAgRhpmLZgiA3iY 4W9QMW6Uh4NAjFLcwmhJ2NO60g5eI3rk3fbgUzkJ0UVQbPimucIfMRUYB+lx CVXnk+2VaoCgqhSoz6BVCS/Jja8AjF/Eg/VGZnM144bNQKsmUwz/1ENgU6de eFnm518HU2SIqJfWOIOt9MWgcZD7GEKMMcTRBH7GipSGEtflbO5jYNagFdyM douqzYDckDcWyqozZJWpIc5kcDBoSKzRjBsmTaAxAgzqAL3KX6/0Lw9n3CiT g5sYMr6FjtuVFvL1f9R49K+aj56rUyt0WVl5UFl6GkB9OiYxMRYqYmPs1Ywb tQir87QqkdrU1PRUCj37FVtPKYYu+sD2gsIBqK3BPwrSC2lNAnVOdLD42cI3 QPtqKuzJpEn6STcoMkTU7yF4dJ/9+CIfoZOUFnA3I54vEIpPbyq842qhhi4K iTVpLu5mXLscM9ApcEPdXAwN+Yra7DCMN1wpMnu8lLkZ0RKzVmLWMG4YIwIN ajCoAjg0/MsVE+fGBs+fUHWsFpxNkGdJSEoDU/axtiLs4Ikx0WCKVlTGqm1F eCCoiKDVSdQWQY2yyXHjA0pPAGQddOQkNIKjVtWex8KD2lTq0k5J+fo7AGfe zgb5VZo7SKsuvmSDdCIX4xYZIup5enlDA6WitG1MxNIa3m423i4cojqAVOxF 9Z2MG32NMV2V2ksWTXOZqjYLqtIVrmTGjYo4mS1Wao0GSxTjhkkTZIpkAyhj uBGA3Chj6HBzo/RZ3AA+ytzHDZMigGShrKIw+XCDDtOixEgtlGqDXdFqWwnj hlnOSs0rIqlh/NaeoWn8WKsBvnqrQPn3gkyZCQzV6sZsxg1z0stzA588F3Mu EqLdVpx1qpHmXqIVJS/T4GN6fhBCRYaIGkcvb2jQR1fvaabU9Z1FH9OW57qJ /Sfz9s3U4SvYj+IBYi6Ztc0l2vqLkdUZqsoUcCUpHAkCN0IeckPDuRHBuaHC DR7nRhgVNiHkeKJjAp9yi7joqP8Fbl0vRW5cdmrbC/GpPwDg4ZIVGsjXBDm0 kbYyzo0wVmpu106CG/jo+ZR+iW18yZYYSj2aBRmlqipW7Eorwql98mO7o+0v ANhDwiS7TbmHDJBmo4YpW6DsMU3oYtwiQ0RNBTSOeXBh5rf1R34GHS07YipK aclrvJ4FkHG1PbmvDjrt8XwARVt3QVOTqa5KE7ihdCTI7OdlAFJbDHJDYtGC WRNsfsiNQA83WJ7CLY4zpWEwlhuPhhy49x2lp/FYQfdthbdg4CpyI/VKpbaj BBrTofq8lDuxkBURZI+MrLjIuGEKY76oPWpy3FjApqWEw1kbCC2r06S2i4wb diW1vrBh8ljjsyl9FeAwCT/8nTNuX0ZMXA6tL6QuzaTbfPrBHp7nhIIQKjLk L6qXrNCg3Hss5O308ds6Sp2qO9DKFsYpAMBgQ3etN7XbmXzJAM2FcY25bOC1 9oKmOkNdlap0JYOTxRsebsTKPNwIGsONoEe4wS0OgRtl8qdx4wClyKjAH0Yy o6/qK7vhcj0mStrOMiXnRqArCkMOVboKKtQae2SwJZ3FMHYNdUQzf0MvnXhP F4D5Fj59eUwN3jb3HwGIDIqW5sZDbSJ1qKjpBVobt33kxkaA4GVRX6/QSL9L jxKGYquiJ93mU44EtPLauKc6IYBQsczsL6EpMTQorwjFdq5Q2sXTkyoAGzcS Sq5dyxvoyupv0HXaUi/pE1tL4poKoOEi54ZOXZ2urkRuJGG8EeaIZ+YGjzdk 1ig3N0yRQUYPN/TKUW54rNGncoNZiBhvYE60v80/9bI8sLfoYgv01mYgN7oM qiYdcsPPFR2C3HDFgU2pqVAHWzLPCCGHM4aNp5RLXogbhI+QYlhluNgMVc37 O6ox5JAmR4IwkmKW0ornFLU+u/05lO4AWLk2cfs7Onw54MANPmluqhcow9YM Q89uc6JBiCCRIX86TYmhQfmqwtm8tX5e5VUP4DzaY3aOGDg6cvuqM7srdB2m 1LayxJbi2KZ8aMjRYrCBfZZxI0XpTApzJsIoN6zRIVZmigJCwxQRjPGGUR2A YcNYbpTJ/XB7aHGMw42PeUfuPub0y2uSnO2L1dRChZ1xo9ukas5CbkBltNQe ocIHGRUam1JqvsC5IWOl5mY5LQ9+0XjjOz6+nJ1XV2BxQIPJH1uLi5BYw7k1 GkJtzypOe27j3nwFxbfey/zuk8L9Pg44eQtct6e4gh1P9BMdvTg4ieWGJiSR If/5As/tIx+RF3lDx1qgw7xIo+ura6159zFQrwDQDwzoB9rgch0mKRldVl27 Ibm1JL6lKKYxD+qztbW6SABlVVpkZbLCmRjmSEBuhFXEhthiJBwdErMGeLAR bIr0cCMcDCqBGwEIDW5xgAANt8Xh5gb+W0fZ8A18UtKFJ3OzP+jk5TBVPWQa dC0FjFctFxk3nNpge4RamKRvUUhtrJwMjKGsZNQcPgluIHa0x/Pj063tvffh Ssvp1izQRAToPdwwhUyaG7OwbzJzI9B3Z/7mPeZjGysiJSNQ3T+13GBFau9m srN1tlND+gs998WCECoy5D9SUzh0gjHGz56dVvntJgDX4B3LtYHSoQ7DQBNy gw2/dloyL5UntxTFtxTHNOZCXZa2JlMtcMOF3EgIs58XuMGIMYYbSAyJOZIN pmCq4uGGX7kiELmhVz7kRrnCzQ2ODuBVZ3I+8MomyQ33BgxUhcgb1CnGLFOW FkDemgc18cGOSHBESvhjAs1hUmu4n1HLp+drqUU5cW4Ir8MmSjGfkoaW6w63 DtWNZA31nGhlgyn+RQqwKagllBrOTZobgrkxm5z7iZxbv6RAssMCIRWQ20T7 qlkGNBVi49Tniko/zmevwNoSGpMx6aZEhvwp9fIuqNCIH7/9ma8VdgX3v25p BGgevue6dc043Fc0eKn0cn1BbyX02FMRHW1lyc2FcS3F2oaLUHdBW5OhrkpT AqjdIylx4EgY5YbEzQ2WoWCeEsDjjbHcCGLcGBNvlIePcgPv20jpSQwqDtyJ ir0LVcNGfO5llzSkSZlggmK2SGlYW4GsNgk4N4L58Cu2LzXL/Yx8WQ9MUqyq F+XGp3wZoo1b8+P+2TBsvJl78ya0FQYhNy4qwCJj3DC+QADzWPuzBXPDO1QK 8IFXNIZq2vcKayIqaE/z1MQb+Ge/E741vDznKz17Bdbl0qOT58ZYvRhAqMiQ f0dNlQsqNHWd0jt4CzAA0M2/tavv3G+6fdN+Y1B/radgoCWvr6ag2w7djmSA xNaS1Kb82KZ8TUOutvYCVKerMEPBkINxI15WEeuJN6IYNyxRUos2yBQByA0j 9zf0Suza3BpFbsgZN8oV48YbeB/+Pdhh8078HHd2OCWnn3ssjuAekzzWAvnZ MZUxIZeKZHUpCI1AJ6tzd3PDJDtj5MuIGUNYqTlyY2LoECq+vqJ04cfRO+YV YwvDmO4Mj0CvLag2nrkcwiCs8QWM1rGvM/Bpy//AdlZFLAPYSUJw99haU8W/ LlCbnToiJvH2PX4UfM23RW4lUjjgKCHZgZsy6f5Umj+VgzUvHIRQkSH/Fpoq F/RjDzRwG8RIAwC3tivss+e6M+K6OeS8MVQ62Jl7uSmrt7Kg0wo9TrYWX0tx amNubEOOpjEvslYHVWkYacgFbtjPM27Y41jRlzUq2KzBGMDDDVWwUY07Hm5g yKFEbmCe4j+WG2yCW9goN/YCKLa1G8Ju1OcMpanawdKASXtQR7Fca4Oci7H2 WOx4YfVpbm7YlLxyQ4Z3njGxmbjUEMJKzSfMDeBrfM0FWETYaspsFYC+34S6 VGQg81qtvCYN440XT1UEbrwqeJYAXvPDgB0o8ctNtgzB3KhPefmKMgxmIn1j dnuFwMl6H+/Ufe8nUtkwLRh8mWaffjx4YYBQkSH/PZoqaKz0jLf2860HoAu5 MUJb7/2C0GC24vBl11APciOrvz6121nYboJOa0I7W1sjteFiXJ0usjFPzbiR qnYlYh+Qu5IZN2wxUgEdD7kRJXAjyKBi3DAwbgTzVIVzIyyApyqsVzJuyHnI EQoloe8AfA/Q9FVPa/xAV9ewua5JleJiDkbbRZm6AnR58ZbziAh5QwY4NIH2 CLCpWKpiCpUZQ87wzk4NUlqhYfUbE+CG0K/fpnQ+uJWQTNsqWVkstGYFCdww c0dUH0T1gZPgxkxsn7c8D2AOOYs7K0mK71ancDhqfdnLU+KTdwPM3pPwg48a pJdWL4v7cEcU/ed1er77ZZp9ysEeMXInE4RQkSF/kKbE0BhtShg96eDr/rV+ Wdt097e2uz+33bntvDnMvLWhLteV5rLBLl1fXXJXRc4lve6SHtpNWkxV6rPj ajIiGy4qMU+pTFE7E8JcSYgOzo1oiS0acIdxIzKIWaNRwcgNVu6lDPZwI6hc wbmhQG4I1qiHG2Fs1a8SGXJjB+9NZT+1Vrffq7k2VHH9kq7XBMUlmCtJWrIV afnxhgQZm3urA1d0oE0ZUMFGYsEY4uaGng/KWMJZ1DFhbsym1Gu5n9CR/Q9X FuU3ASswMwArNAMol7Jgg3EjaBLcmMXjAdQs/Ef8vABeW5TA0paDzZFZAy85 pILPXEbpfoBlB1OCNsQuJNGvrYr88KCxANuUNNOm5km3PN7BgEqzaX7JS9WV PSaxzOx30BQaGpQvKlhDaRNvsw2gEaD61q9Vt+5W3brJuDHcXzrEluM19tWV Xe3M6qtP6LBmtpbqWoqgw4wRfGx9Vnx1WmTdBXndBahKUTviWa0XcsPBuWHV 8ngjWuCGxKLFHcYNfTimKgFGlT/jhpzlKfrwgLKwoLKwh9wo5dwoZdxgHWyL My73gbHxZkVfn/NGt67PBm05UdhmQ6o8qTC+lMc5TVngigm0ygMq1AI3gpAb BunDkMMYOhFuTOPQwA17ND5x9dzcf3xRqomxQFsls06q2aWiThdKqUniDjle pI+PmhvYyAxydhY5CsTfG+BtHzY/z/9HR0FuG+28+pLceA3g2PIzb/LzX0CU a9eF4SsSh23G6Wmuc9ItP3EkoLui6TdJNClnKuvKHpPIkJcWPLHDNNkwI4cv wmPnNeSMDi20fuC+a+iO+fp14/WrjTcHncOXSwdaWMjR49L312f1NyR02JJb inUNOXCpPLKlGHtufFWqpiY9rC5LXZUKjvNh9ji2RDkCBLlh0UBFDAOIORIp wVb6MmswTwnQh0vw1qj2L1cwI0KP3FAiN4JLZQ/zFNz0SiiTIze2C6kBhjfm q2WX2quH23Iuu+LacqAhBZ8e1pAOhclyRwQzMirjAsyyAHsEL9sI8ePcEIIG qpewUvOJcWMGL+ZcQILg1cLXVmR9sTc/OK60tLKeIaP2POOGUC/KcDQZbvgI 3MB4g3HDT0iIjnzdcupIaXZJEy1reklubMIk5bXAD8kZjGSWEOlbmOgtypTu SaHf59DoctrhmnTjYw4DdGkwXSOH7VoankpDz9O8lIk8T2TIH6ypMjQEZVKa y6+XZOQLa9S3Ueh7UNN723n5mvHqlZLBHvtQp3P4SulAq66HmQn6Lnt2f2NC Z0Vsc7EOo4vmQk1LSSTjRoqmMllel6WsSgNHvNwWLcW+jAkLxwXYomW2GIEb wSzkcHMj2MC5oQ/n3Aj3w5ylTC5BbpQrzghVVYwb4YBZTEnoNwDZuwfZ2p5p 3Rn1TdW9joKB2rj2AuSGhq1ZGgu5qXK7Co8LVfEBFnmAXe1nkeNPfqZQxg19 sJsbrNT83HPRIfgPBMCHhHq/XrHhzYx9h3O0iuu60sbEzhKoT3FzQ5if8oK+ 6Kh5go3MZNw4BuTsUs6Nd9+IOXqmRLe71BZtos2Oyb2twiGQtLM2SoGcnAew 3Nv/a2x9Wejh1zRxGxMrAnNohWHSjY85DFASACQ4doEMNqnplzE0MeFF25g8 QOjkP/l/KU2hoUH5pRjzeKSBt6UAFgBEQ/N1Ct037d1XjL1dRZfbyq40Oq/1 lA206Xoq4ZK+CDtvb01ipz2qpSS1VpeIIUdrqRJTFYw3nAnymgx5dRo44+VW rdTB5rKF2WKk5giwaEMqYhAXo9xAXIBeEWxQBpoikBuBjBsKP8RIOeMGRiBn 2DphwEZSysMxFFmLnfSNJpfqxvXk7nYW+lRltJmLrjbEdZQiN8LYmqUayEpT WNVstLc6EazhATaln1XBuSHzwzxF4AbiwqygZc/hBnj8B3zKegDMIN57P/nA P1uDz7XFZzSlNhdBazHYwk6zeOace0ilzP+FylBn8NvpnBuzyXHMU7CxXVvy Nm+KPSYtK92UEXc8ixbkT7oyZC6lnwPM2yqHuScIc1xPMSoRyddEEUC0OZvi 6YH0KSgRYW0G7CfBISQUSDjdoKHhsZNubJJDuqKerqk1NChfIzSFLy9cwy96 Ulj+QO+6V9F8uwo/Cf23bF2XDV3tRd31eX1V5itNnBtV0G7QAeR0WBO7HFEt pQl1FxJrMjDkUDZc1AJoHHHyqhRZdTogQGxR0ooYNipagdyIZIYGAsSiCTSq mDXK5rUhN8KDMdLAeEMYUuHWaEC5ArmB9DhjUAncwGBjqUH1Ebb/VaOt9PrI jXvd1/uFuXWlV+vju4zQkIpRRbBLC85IJZ8rJ6lJApsy0CL341NIMN54yA0h 5JgAN6bzeGM2OQxzg1fMjfp0u/mLXdYjp2xIojRbCdQlnqlQMG4IIymYp5QH vFA5mWBuCNwAckJIUr7+oPi9D+ODSNLWranHAHSTtUbxOUvx/AFeQSKtCJgD sJp38C+JZDtRfE6iokgyazn8ZdGBrW4kAVtJ8CmBGySSrouih17gguBP0wtM 8xf1FE1tbkL5NUeiuB1q5kZoW9avuaX3Suy3jI3D9p6r+GGo6Ogv67xU2FmX 02Uv6HWWXWnl3DAmIzdaixO7XNrWsqi6rMSqZKjPUTbkskJH5IYrQYYkcSYy buAGIK+IlVoi2QCKlVd8GdVBBiXez4ZiDeFBekWQUeXPq80l3BplpkepLLBM PhpvQLl8sVG9d1nx6eCGCsNvMPIb3LxWc535LWWX8pK7LdCUKa+KllVqwa5U lWkCbeGswrxCHWiW+dnCwW1xIDckoOceJhJjYtyYTek8zCAA1qyIeP2VbBhV UX5QY/oZh+qMwA0BGi/IDR8PN/hgykm8eRvDAyL5xDdJOf/8+p2JXyEMP6kG XcEk3l9sfw1zXH98mxwBctiLn/VsEuhNJCuI4n0SHUj4AmnvZb2UhQIwl5xe TPzfIEEHSQhGMsdIBCUxUzu55pEgZGyzwudf5MZTNOXQED63Gkp13NZoTqfD 2fcrim7n2YZL6wfMXb0WFnJcKW1vK+ioze6o0HUaynqrdL3VCe1GaMrDL8HE SyZta3lkfXZiVRLUpCsb85ScGwp7bEhVqtyVCLZojC7wCz7MHst2TCqwaKRW LYYZAQbWr4MweTEog8rlmKpg8sLCDG5xYOwRzIdUzug5N0pD55fJ3wT4eFuJ /MCvYPmtH6Dj1p22mz34W0NzRkpvhaI5R17FJs1J7CqwhQfaFMzisEcGmUL8 bHyqi1HKrFHGDc6K8nOMG2XPciRG8wiMBPDLetFCjKfgnVcde/7RHpvJr/TI 60XPOCPYSQqpygtyA7dp3BSdQX4CnkS894p6KTn31Z7Uhcti3vmK+a7wqQXO jT+4+ez2manLWj4E5KcZjEvHZzFuBMwh0rkkfD6JXsvuzAFiYI0XTTKz4Cw6 PZv4zyGBK4j0bRK+j6gpiZ7iybxjjufjKS17+PkXuTGeptbQQB3hkYaBt5yA 6Uk0dRXQnprfunNvFBgHC6v79e1dxsE2lgVcasttr9G12zLby3M6TLremoR2 E3IDv6iSmwsi2wyR9TmxlUnaykSoz1bUZGDXUmJu4koMcyUB7iAubNHsomwC N8yRIdYoXugVHsyGVCI93Ahns1T0iuBRbuCdZbIz+nAh5FhcFrYDwHe/Mfbk r1DxWz0Ay6RuX4U+E/6f0e9QtuYrBG441GCTB1rDGDccmkDGjXA/s8xjjUqg /Jz7I13+LG7AWG4AzOFf1ovIBR9S9e6HzaeC8RQgrFEH9nBwaWDUFJ1w6dco N6a7ufEjxhtLAbatiVq9WHqARC5bo9m6gK1VsOOLwjPpdyfHDWx8+pKjQH7k 3DjxKDdivAVuYMvetZNOhWaO4QYhUm8S9jlRURLlfpFxS1dPouWnHA9oUuLo qfr4+j4OkD+pbr7g46fc0KB8eT05X5O8g1K2elUY1aX/ZjT/1tzxW5vjVlPZ lRxHd1HzpbL+ppIB1jty2moyL9nSLpWmtBXrWHWoGZryo5AbdZmRrfpITE8q k6JcCRhyyIVpsBXRIY64kMpkzo3IYKsmBLlh1TJumNRsxzzKDVYyGoCI0Avc COfcUPgbVcGCNYr73OJYUhbm45MG73eB4pc6/LnvatVwS6FQ9Q2Q2axTtRVC TTyLYRwRjBsWGQtdnFGBJqmfRS5wA0yyR7nxLIsDPDNTZvJDEHKO4YvkrFpU u2vf1TN8LUQml1b4n5b7T3woVnhbvcbEGzMZN47gN+nstec3rJLNI8pXN6hZ Pdi6nI8knfui+ybBDcK5MY38MMqN2ayP+3NuKL1ILCfhxY3Y8sJa6tPzQu2P HoVz4xTiCDdCJHNJqBdRbgbYz46YSMlU+K7UU4l6XPOwNU8v8OEAmYJD/Ftq kNLFlP5flK6Y8FOmsEJjVF9TGkhpKs9NOgBu+dPmmN+g4LeCmt9cVx80Dt6t MV82Wzty61tKuusLL1fjm5/dWp3Wak1pK0lpLcxsLWbcaC6IqsvAkCOyMVfd kKeqSo5yxYMrUV6rUwrcwA3zFExYkBuWSOkoN4wqlrCwufOcGyY1H4pFbihY nsLvhHI5xhtBeoWUWaPsfoIf71IZbL0A/HqyzGIYvlI1WFfaa0wcZkERJk3q 9hKoTZY4IoIwa7ApkBvBFsYKFm+YQ/0sYZwboadHuSHcToAbs93cYBxaSvLW vl6379ggN0xa2a1D7eaGsBknNBQLY9qf5h6ExTzl2Gu8X7+/XjGXhL3+N8Uq 3vK2H2sSZfWgq3vRQd5pvPHpjBs8T2GN+/HeHTKPqLxInMCNZQyIdXR1L337 Rb/W+AgyhjGMG4G8ZSQSNh4ueClAEihJpSTzRZsd90h0Wxj186wbPxYa9M8c b2RT+hvf+T8prZrA46fc0KD8sj77KfXnSQrGG3XBv10H6Fff68q6CxUjhu6R 6ju3nX2DFkNbTlVjwaWa3D5XTq8d3//UFktKa0liS35Cc15CW1lUcwHUsjUw tTVpqsZ8VVWq1hkPzvPy6vQwVyKiI8QWFeI4D/Y4zo2IYKs2hFMi2IipSgTn hjKIUyLAxIdiy+Ws1JznLMCWDURuhMvK2JBKgIFxQ9BXGE5E/yqvuJWLPwzU lvThWWXFdbB1OLSdZVCXKrHzWWycG4HmUDawa5b5ITp4CQcYQ04bpMzfMIa6 u3lZkBsg473+0z1JCkMHCZlPIpeToi1/aziKP6bcMOZ36+rKPKfm4QbGG2V+ EyxfF6AxjfuiQA7PIiffmntiPjlL/qacRyTrhXY/LfT90ig7Y0yOM9Lrdyf4 Ro9CYxo5KHADuPU66yE31N7kvMANvF21rB5e66Wbhl8UTTxSOsa54Y8btozo mEfYwDdPgs5TksRCjkU6GvVy2Qqe2E45lfD0Z0wv+NNzY1T/H1/U4tmackND aPMUL/EKoFRBacapX2y6B92WX/sAOlKuNxmGoWXYfuua5caAvqOzxFGX3VyZ 3VuR2W1l3Gg2JzYXxzfnxjXlJDRmRzUXIjfY6El1iqo+W1mdpnKeB2dcmIvN SXFzoyIaHJwbCApL5ENumFTBrHJDGfgoN4KYxaFiXge3OIIMypCyMKHyfK6n b37z9wfxx28Xplxllsfl2oJeY9qlPE19EvBrw0FDhtSu5tdXCg8e5YYlLMAo FUo4zhilwKzRYLx9JOR4Cjfc/oabGzJvErWSlH3i28gOEd9f0H4/w2Zxn5mw SKDgi74gN6ZzdGCSMh/7tffZZeT0HBK0YHHQYqHlt9P2bs86GuqQp7VBw0Sz lbHcAPLDjCe4MZ9EeJN4xg38N9/02or6zW/00c1DdOdE0UTHcIPnKWc4N0Ix MBO4ASQS8BAs5EihREffTp14y08cCeiyQLqbw58+EmzQvwY37JR++LzHTLmh IegQL9Wo4RPWnIdG4uJ/Lqn5pfH2g+6WO80AdYWXnTWX4Wq/fri7aLA9r7k+ p86R2WVJ6zRCh57NlG8qQmjENGZFNVzQNOZBbUZkdbKWLeqVrKhOVzjjFI5Y cMSGVSbLGTe0IbzoC6waxg1zhJS7GcFGJRiViJFAo+ohN3BHLw/iqQre8iEV BeMGMqRcPsugBIPqFd6HDhy4nRH/80DOQPvFFuaLdpVkdRRpkRu18TEA0iZd iJNdxSmwQgkWmb/ADasiELmBeYqRT04xhTJuGKTP5gY8yg3BFF1AYlcv0X/9 L3y14FB0W9qlez3XrrCSUZMEScVNUT6Y8rzSr9EMZZQb09mQxzHswjOXnFtN Ts4mSA928WrwCntvqfajrel79pWcljjtRXW0sXgi7/XTuIEtc26EYuzkTRhv GZ0WmN94peG917s+23KV/v0O3ftggp8oDzeOzmK+6EmeBEkJCZ5L+MA3Q1PC QhLHQ440lq18/sJFpJ4jAV0VBN8ojmCzj0KD/gW48Rtf/uXXpz/g93BB6Zhe IGxDe290y2616+60ukbsg/fab99uunYNu2GFvQO6O0oH2woHGnMu12bVVmS0 GVM7ypIvsbLu+MYiDg2dpj4zsi4DuaGuSlIBKCoTFDUZckesErlhjwlxJYS4 uaGRYsjBXdBgszp4LDfM6kATcoONniBAeAmHYHFwW0PghlElLVdIyuWz9eFg VGPiv2FtyzH/wVLHr3W9N1uHulxltgJ8ZHthVGOqML9Mwq4jGcW4YefcwJDD xBoLNEr8TKGA2Qpwa5Rxw1PCYfTECU+8YtMe5cZsFtInvL3O8AP+vNu8P6E/ i8PE1VLwME8pPUtHDdLnvR2j5oZnMOXISrZzYpbXSQz7BVItIyGriOKtxdE7 3tEFfVeUGmNosjx/BqsbGm5ufA88T+EWymkeFQTO5dxgqQRHx8pFlrdWNW59 7dJn713e53uLfnN/ghbNDLeje3Qma/YEt0YDCTk3jzArez5ReZMY3HxYyJHs RsfRySwWxF6Ldec++y78tK/v6Jk95MafGhqUr7w3wHfG9Td+D0ND0JeUnqA0 kleS1+8ehm8GIfDaYNJwv/lGT8+ttts36m8MVA332gAMrU0w0FBwuTqn15HV bctoKk+9VJzcWgAteexqSvUXouozNJih1KSqazOgKhHjUYUrHjfkhtweA3bu iPIaUalVI7FGgk3LoCFsiA7ODQlCw6Rm3DDwuWwMF5wb3PRg8QZLW5RSvQJ3 kCEslp5bun1btUzTIzX/Utp7u/tyt/NqNcNZS1Zcc6bCww2ojAm0yXl6gtwI DTaFuLmBGYopFLkRggBBbgilX/pg9wWYnrA4Rrse4wY5KqBjCUnZ9gEb9t24 t4HViIZ1Z1ZdFaBxYtTfmMBQLIxBxzR3kvLDdD7kMYMcm0mOzxSqwVl4EIox /yoS+cG8uH+8nxV8WF+YWEMHup79dj/KDYw3DoHbemXcmMO4IZtP2NjxAnbo XJ+llrfXNH70estnf+vb9/l1+s3IC3CDmaLIDQxjTsxh1uhpYeAJ3KkQokO7 gCSsH0XH6y9ewMZaO/PWxnNfIjRGR2A9v/zTBxtHKf3fKf0f3Bc9+sRvfz9o 7KD0W16wIadU9/mgM/7e0IW7I4ohiB4YKBnsar3WdPta/Y1+17VO82ALs/ku VxX02nO6zbpOfUZ7SWprfmLzRWjKjmPcyIyqTdPUpGCGgsEGYKSB0ACQO+PC HHFh9mhg0IgKsTNuIDQkFuRGlBsaJtUoN/BW4EaQmxuqQDc3whk3uDUabAiX GsIFbuAX8TKAr/ZU+v5461TOSPK1n1u7e+x9NSVdpfjIhNYceTUbUmSTU2rO B1rDeHoS5m8OcXPDEOxnlICZcUOK9xg8pV94iwARxlOe4IbbF2WdlxWLziPn XiEZn39hxv0dP/Qp15o3/Og4mFmT1tsETs0j3HjeUOx43PgeUxXeDY/MYNw4 LXBjDrMLFHOZHxv7jnfyd9vypeqa3MtDz37HxyQpBzg3fhS4waOC05wbYV4k SjjE4nl5a5Zb31ldu/2NJt8Puvd9PoSUZKnK97899yis8oQlKQI3js8mQbMx UiLBnBtSDGm8SLg3T4gwW9nP0JHufokcExkZ8ByIxUWn3/H13XdSKXBjbNn5 n54bz9Dv4YIKepd7ocl8Bopr++V29f1hE/2l/beRS/eh43a/aaC99krjjYH6 Gz32a23mwYbSK8w2KOgx53TpMxEabYWprXmJzTnxjWwMNKYuPao2VVOD0EhU VyaA67zCFce44YgNc8QiMQChgRkK3rq5EcH9DeSGapQbHB3hAjeEVIWt+sW5 EcjSE1bxBXztL6lBOYtzg0WpPoWbTlR/8+VwZOzNktY7Q1e6mztri7r1yQCa OkyUzoPTPR4aaJUJ3PAzSQPND7kRxEs4JKxqVMqGYs1h7khDuHDbs7hxHJMU LxLy5nLd3n0s3viaFC55t/zds5bvT/TG6puLeLwBE+bGf40XbxDmcvwkcAO/ Xmc9yo35JHYJSXoXYB+//O6zSzHHcgM4N2a4uXGacyNoHpFj+iC8XMu889eu tL27qurDdfW+Wzv3fX6FeQj//IV+++DZh/Bw4/BMFiOd5HnKudnkJCEsN5xL JPOJdj6Re7GBmyRvEr2AGR28ZAsDj/1ptEAxwc8wsOHvUx/4+v5AzojcEPSY 8+DWFL0O64TrBfA58jUAPQA/8+0ObkO/Dl+9B0O3WoeHMNiovtFpv9ZivlpX etlV0Memi+WwYKM4ta0gtSXXzY36TPyojXIjsjIeuaFyCtyICbNHyRAXFVqw aUJ4hsLXH2bOBgjQeMiNcMYNPp7isTiUbEgFoSFwQy9wQyE1qvD+BXqFN8DW d4thTTccuw3pt4tabsPtQeh2lLYb0poy8MGKuiTgxd6oIL6BTY7c8DeHurlh CA7ESEMfHMSqRkMYN0wyt8Vh01D9I0sKP2aKCo6iN5F/sP7CJ8LP5OKyj4u2 r+475tv9XUxjVBcbqnavFigMqQhGx1Pe8YfcEEZgWYOHuDv6I3JjJjnBYeXP uSEb5YYXSVoK8B6A9myTPd70jPYfTVK+R27MdOcpp3gegdxQCIOwQJJXLsx/ 08f2/quOD96s3bWtfd+uPmahfnUH2Uv3/PaMo8wQpuOxcz4uDKnM4vHGXL6u MmHxRvQ8ZqRgtqL1Jhok1QJy/ruxgdkEx4YAfHx9d/xdgjilvMJ8rP6C3Hjy VRs7xvTy2k3paUpjKTUA9O++euvszVuJP9+y0OsDdAhg+N4vcO9u853h6pt9 zuudzqFm80Bt6WVnbq+Vc6McuZHSlp/actHDjYzHuKF2nQeMN5yxcjYDJVpW oQ2xaTg3WKTBVuaxqDk31G5umFhxhcCNIIYOzEqYxcHCA4ObG8FsbEUhcAM4 N1gsTVJgd+lmgG/V9/2LH2BOUnLrKgzUW5qNqc0sEFJhhuKMYA+1s0U8MOQA xgepv0UGJmkA7iM3MFUxMG4EMIsDuRHqTlUccY9dK/YRc0PwGZhFqfp4G5/U 9nHVgkW6V7/K9X2t5YOv678OrT6tr9AZJTDWGp0AN8YEGywkmOaON44K3ADi P/vReMOLsSuN/eqdYggsBhj/AE/lBjMiTgr+w3wSDiSB+Rsk2WdxwQYf8xYf 69b11bs+at23q4u5IbtuI7aCdz+gX91/2l8x3c2NQ9PJiZnkJ2xZyIOEl4uw qtHweYweSAylN6NHHKJji/AqkfN0fSw98vwJsyzD8vV9bcWZXV+xMObJibF/ NW78foaGoA95PbmU0sKFTe37hq+fuTEccXNQd3vQcmew79f+X+gARiB37+AX d9WNHtvwJc6NmqJ+R26P+SE3WvNTmnMe4UZNiidPEbhxXuGM83Aj6nFu8AyF c0MpbCwY4NxAPmCYMYYb4R5uMIAIQypgUBLODViasgjgzX927jh7fX/CjYCK a3EAZUPt0Fma1pitwYCnMgpcGj4BViFxqNkFZ3HfJGWVonxIxR+5YUBuSBhV uDXqLv3CSKMimq01+kS8MV3IU8iPvDY7+DWi2fg+W030QxLvvTp17XLb+vXO 9761fq0ynsxt14zNU9hQ7FNLOMY1RaeRH6Z7uAHk5KyH3AghRD7KDSCpgpN5 5NPCQFkpWI3jtj+GGz+M4cZJDzeCvYgKePHGwrnJq5cVbnpFv9nH9MHbrl0f Ne3b2ckGjD4ZOYmw/eIu7Bqh2x+v6BgbLM0iP05nLf84m5yZySyOswI35pKw uWxAVjKPRHmxbAXREc8CD+GFIjFs+0RLIyKe4wX5+hJyfP2aM1/vCxG58fsZ GoLeHfP5bN073B/1YLiA3qmkw920f4T23H/Qc/+Xnp/vstmktwaqrneZh5ps yI0r1UV99pweE0IDf5NxqSi5NS+5OSe5KRu5EVOfAbWpUQBjuBHH4w0hVYmW 2R/nhkTgBo802GYcnxtBHm64N0N4iIALQ7i3IVwo+lr0mnH5R01v/av3k7Du lJxOaGhn9/ZYc5rSNTU84HGoJXbmmwEfTwngiYMfbpwbAYwbwWBksUcCt0ap UPqF3MA8BRlieBhyPDQ3GDcOz+TzxN9+RSuMjWL47fV2wsYlZW9sKdvyQ9GX fg9OGx5k9DaYx3Lj6UOx45obAjdmjOUGh5WHGxFubrAIQYdZ0vqVBQf3lkBK 2ZOfq/96YhB2hnukBnv3Cezd2J3x2x+bYssGzk95fUXhxpUlm14p/3CjY9dH dXs/7D7AD3Rix1344gZ8eoO+/3jx+Sg3hGm801mG8tNMchajjjl8FVM8CqZC c8gZXmAWw7MVpReLN9hxvUn09yQqkETR1RoapH62i4LBxgJybPNb2PhJnyce 6cbIX4Abv1OFxpOHkPGFNap29jefu9Vz4f5QDR25TO+M/IbpSf+9e+33RuDe nQ6Atpv9MNwOgw0w1IjxRklfRU63MauDjXBmtDNuJDZnJzdeQG5EjcsNZ6zH Go1h3HD7G5FSa0SIO+RQcX+DBxvG8Ee4wcdTHucGu4ePwPI7gU+GxS+pRXPL V6xpWvf3xj0n2bQ2PQCevL2vqqhZp61hgykSh0pawUMXqyzAHMK4YWHBhr9n KBbRASZ2f4JRGmiUstIvKy/Wskawy7cZH1589qG5wQdhkRsLyWmfDe4BCOzF C71TVy7M9fkwe8vOtq+D7p60UuGKkyCEGU8fioUnuMFTkoPCd/cMcngGH7uZ JUT7RMLLqDg3mDHL18ogmQtJziKSt/mdwgPSgqjqvCfbf3Qw5ZCHG5inHOfc kHgRLeMGiVixIHXdivwNKwrf9in98B3bru3Vezb34a++Azi84zrsGjy6ffDI 5iH61rXHP2CsfdbsdHbO2Ozh6cSfT7EJ4GfuN4+Ec49U5kU081jUocLDCejz JhpgWyQlGropih6Mpdr48T/Jvr4I0mXk2NbNfj7kxJMv6V+EG793biIcYjel ZyhNoNTwbofrxyuNUde7TPcGr9KR67/eu/XzyJ27w3dvw90bzXdvwh0+P+ta m/FqbcnVGhiogb4K6DJARzHnRnFya258U1ZiY2Z8k4cbNUkYk6urH3JD5bE4 ZKx4QyvDkEPghlUIOVSPhhx8EVGjwj2YImwef0P4UcJGYBk3ZhvCwf1Jy1hE DCuWNL+958pn+LNrRDs4WHS5lo39tBXE1pwHYfq8wA2b3N8sFUo4/IwStzUq cMMQjF+HcUZJkJGHHFYF+yhalLQu222TjunU7gpzcnIGW1zUb/ayEN5tQ8h8 hff82MVLU1du0L/7Qc2nITewk7Pp7pfMJfoAd8noU4ZURsu93L2b7H+MG7Me 54ZklBuYWXi7uZG1iOQuJQXbdxafkpeNXSD00STFM5ji5sZx5MYcFgkwx5K/ qpE+i1LfXJ7z5vLcDauKPtxs2bXN9Q/+gv/j3WHYMXDo0/7D71/+YcOV/Wuv 0JWdo4cA9zRbNlduGhsAOjybHJ3OikWPCO/XHBIwl3EDc6IwLyKbS87hn+BF wvhfEQlE7UXUPkQNGH4sj6B/19LAGGqI462PedF4tcYMcsSHHPXZ6gfk+F+T G38MNHZQ+j1f/a9gTYNzd3vNub62MtrTTYeuUbj+AIbvwI2bcHu4785g053B mpHhxps9bCr9QHXJZWfJQHVpvz2ny5DWXgTthewT0JoHTVnxDRnxjbqoBuRG yig3VJwbameMkKowbjiiQ+xRAjcQGlLrmFTF/JAbwYI16gk2hA1YwYZ7X8o3 NzdI4Hz2Cc9cTEw+K1q34L1nbx9NG4qr6VP3N+YBFHYYEmsT5IK5IVR8VSjc 3MAM3RjsZwkFoySQWxyMG/rgOLbOWCjjhoUXi5rltPaCe1j2CW5gAIBZw/z5 QeDOHaRzSBjBT/7ipJWr89Ztc7yHRwm4DkkD7NelZzzxxvir94xyY9pT4g3s HTMfciP4UW7Ecm6kLyAXFpGLGHKsXlWw97vihIySx9ofw40DM9xlIce4+XBs Djk7ny3lFzeXpTyRq5akrV2mW7s8a8Pqgg+3GD/bUrWbn9HX716BHT3fbe/6 fnP3/jd79rzeS5e1PfL6uE3R76cxI/fQTHJsBkuCWIHcTGaKBvKTx9hGMZeV tQfPJRovEjKPnT9GGsr5bFO/RVT/IErYGEEPa2i2lmaWPXzReF0oL0Y9/Pq8 oz4sfXsKN/5q0PgdFkXczKfJSylNXVhbBlDHr7bW00SHeyhcoyO3KNz6dejm 7eEbg303Lzfd6qu6fcV5q0/gBmKi4LKjpN+e243cKExrw04JyW15cU1Z0JCO 6IhpyNDUpkJ1IudGknKUG55U5SE3bG5usCoOi1ri5oYHHZ4hleAx3HCHHG5u hIewDCV8tttPiPEmF5bO1a9e1fYB/nz058OBPVG6NmNDXXuXIQsgsz5VUckC b6iQB1Uw4PhbQoPM3A5FbphD3NwwSqSGc6A/F8OypzHcMMpoTQbb5+h4xBTl 33fzsC/PP/MoN1RzidZ7STpm3Jvx3mOXDqub2YFdhcmj/sZ4C3+NZ4qybOIx bgA5zc3Yc6Pc4OGBYI2mLSC6hSQb0bGY5G34oGBfWJ6qJpeOY24cHMMNYaj0 GCF+XkQO5Pw8VvGlWbM05bWlaW8sy3z7tdxtm8s+e6t2l/B3vtv9zY5L375/ 6dsNl/as6/pydceuJY0CEsdyYwbjxjE+pHKcr1d2HPiYNSHnZrIxX8xWlBiw zWEzZLXzkB7s/FlRB98ilpDwT4kCloXTbXH0cAaNLniEG9w8mUsO+yw+ym2f Y381bvzehoag1zk0TlMaQ2k2BunBtDWbgp0CvuE99M4wvXWXDo9QGLnffedm z+2rTQBO7Gq3+yqut7ERlF4TkiLvsj23x5gGwEYO2tiiXnHNWbH16VCfBhhv 1I1yI1FRNcqNGMxTcGOLerEqDq2bG5aHqQpyQ/JoyIHckOKOsAnLbriTFDc3 Znq44UXOe5PshQsM6/CHrdd2/vgrpD2Apl/hxrCxxcig15Sj5CtuscEUG7uE dIDVPTMlwCRhvqhJ6uFGsMANiWCNCjGGQUqrU5nXYZaP9osZo9xwd7qTHm5I eE0FckMzT5gqvr4OvnXuCbKeiDfyTGZ0SGUca3Q8c4NxQyjemMlWAT3BuXGG cyPIzQ0hSSEx7iEVd6qSw9CxKO/D3SVHVUbhzJ8wRQ+OiTeOIjfmEv/5fNIZ vyaCZvWShDVLktYsTd34es6Hm4s+eZ0tt7LtrQ7Y0vaPbY17Nzf9Y23z7rXt n73asnNhzfvs6KZpBy+OmqLTWJkrpj+HprGh2B9BqDzha5Ugb2eTAAwqODdC 5hPPYghENY/I+BY+j8h9iHwrCdu/QSP7JulhRQfvHcBfEx/y08xXMJg5AuPF b39Wboy6oI/8zb/DX7qS0p18xquc0uQPBouO3a5K+hVK6M0Ker2eDnXR69fo 8M+sbKPnZwr3fm7G3najs2K4xYI9GIBzw5zbrUfg5AKkdRQlt2Sn8Pc5ji9s xYvM0zXIjZpEbdV5NYCiKkEpcMMRo3zIjegx3FDLbGzFHjc3LBECOkJMSpZT mJRKjg6pUSkxhrMeh7gwhssMbMP9WdzcmMsKvM8vIHlLl5k24M87LrOvd4xt Sm5ltF+F/jpDWx5b5w7jDQe7lpPEKgsQEhYTO0iQSeqHO+YQxg2zTMpTlSgA KfM3pNQsoxXcz69MppdM1MLNWN7vZgr08MwZAXLKM8Yhnc24oZxLIucJHeH1 8nV/L/oksP2bxMEj5ZdLR9HxBDdGx2geT1I4N4SpbTwyP+7hRuAYbiR6TIkU b5LBQw4BHTmrMK0A0LrYeqdjTNGDwiCswI3pLJtg3JjHrnLCCmsx8XllodZn ceyri8+vXpL09tqsD98q2b6aX5R2XevnW+q//FvN1xtqv3i9/rM32j55peEj bxeLrEj5tI25EJ6AxODc+IEXnCA3Ts3i1exADvMzD0EGziFBc0nobHKKsOkw IQI35jG7Q8pHaXGTeRPZW0S2a2W436exbm4I0BDqQ8ghH+bPYCRz+K9jbvwB hsbogbZSupcv5KV5szPz2yuGyF+a8liwcbOa3mmjNy/Twdu0HwC3bv72NY5c q0JuXGs0DtaXDbeUXK1ldkZXeTZuvaa0juLklpzkZjbjM74lGzOU2NpkpIcG o46aJKjkpYZubkSDI1rFQw42fZ6PxoYxiwPzFMYNIVUJQXRwbkgQFya2kjnw nRCjMsSqQZKEGdm4icykijIqVXwOy2wTm1OJCfJ8EruAZKx8RbjoAew+eGu3 5gFyQGfs1ve2QFs+u7cmHpwR7NoKltAAHngEmKX+HB3+fGZKoCHYnxWZs9Iv TGmKjNIQRIcplFao2AfSlUDb9JRfLuGhuYEfXXJYiDee4IaCsC7AOjIsz1zx keHtH+r2hrUGpTfGW2ryBHQ8MRQ7yo3/Gt/cQG4cHZcbPOiKc1ujJNmbpSoY cnB0ACzyykGi7kWSY276iLnxPZ8ud8gziwQ78vH5JAj4TNgFyI1FkT6LEB0x q5ac37gu8/3VZVuXWTk36ny3VH7+juuLta6dr9XueKN5x/LqrfNt7OLXhBnm QmUI5wYbrGGHIKc8SxH+NJv9CcF4OMIsDv9ZbDQWUy1/zyh2MGGbnJDQuWwL WUlC3ychhzdHCtAY/Z6dzuzoH179i3HjjzE0BG2k9HMhtllaDb6XQPILpFDQ 0/5mer2D3uulI9fpLYChn++zZcBHhptHrsOda/YbnZahev3V6pKB6sKrtWw2 eFeprrM4o6uMcaM1J6H5AjRnsWmwDRkxtcmIDpah8HefxxvxCBAkhtoRBR5u yDg35BUeblgZN6QeboRwr4Phgs1LVQGPPTg3VJmcEnJnUpRJrTWpwaSabY7k CbLKiyR4eWUIK+Zt+qp777+GdkbeP1l0L5GPxlo6DNCUyX7Hy70AuWHjSwJa Qt3cAPAzh4IxOMDDDY0huJAxKpRxw8a54YyjLWXUphzlxnQ3N067ucF6xNnZ bq8ylH3s2T1RvC8ne79V8PoX9o+PV3yvNgcZftU6S3TjDcU+NpiCUb3b33Bz 4ycPN054uBGAh+MH0nqTKG4qxnmTRG+WqqS70SEsvPN6LuzXQ4wLKps93PgO 2Epfh6a7Gz8yixwm5LgXCcbTxi68eK5k+ULlyoXqVxZp1iyNfXtt6ruvFr+H Ta2s2LHO9ekWm+96287VFTvWVH24pu6jpc53Ad4ipUDyV2Ljqy6MLjc0gxWf IDqOjM6em0NO84qOo3OJhAc5fgh/Bg0SxL8Iggg5x4tgpYRtIfNIyFtEun+1 gtWbcW4IeRBCY5bAPUbUn/4K3PhjDA1BazzZEAYbUR8N5xz/BTQUcig4WIZ4 k09IuQdwZ+T+0N27/fdudQA03+qvudkL1zssgzX6AVfJZUfeZUd2nxU/7dBR xEzRzpLE1osJTbr4RtYlYxoztBhv1CRpa1PUtcnAnI1YJVt54zwSQ23HHCFa wdEhWBxyT6oiw42HHFLGDXUIYgS5YVYhQFhiYlIlmlRh1sgwszrDpGKd1hEf Y44oMUfMNEdAVeYclilHsm/YhbzAe5Pzg+1tq/b1fay85Vfwq9x5DZMCS1W5 np+kW1ZZoCVU2AnwcEPqsUYlJikYJJGGYIRkmFnghpJPz4yhzcVQoQI780mm C/2axcknWGZNjs10BxsB3KuUubnBQo44zCC8l+gW/a3k7T0FvrKe7zIHT1v6 EGha5IY5ZOw7Ne3RwRSkxFhusCVAyTE3N9iQij9feS+YHyXKi0RwbsR6kwQe cnB0sMKSjIXs/vRtHxVAgDn3ovO/xgzCjuHG4dnk8FxGJPbC4wu7dL5k6YKw pQsUyxeqVy+P2rAmZeMreWxlwlXmbeusO94xfPqGcfsqywdrnB+sqtq2yLoJ 4UQKgeSsAFhP0qdvS5vmn8JWRmXc+GkGn6ovTMebTc5MZ4c7jkyYwbjhz9xR d3AVPoetihw8h8UbEh54hM4hkuVEsgVgD/dCx3JjHuPGD3xRoz85N/6Asq6x WsoP9zVfXkO+aTBl/32QUmcibSqlfQ0sxoAb9Jcbv47cGLl5+87QyK2eu9fb 7lxpxrj++iW41my8Wq2/4ijpt+b1mt3caC9Iu5SffCk/ofVifFNmXGMGNGZi YK+tS9bWJGprkx7hBoBS+Dw4opSMGzEynqrI7Q+5IbdpeMjBuYH7ZpWCoYNz w6zSmVVyS4TcHpNqVrPouSI2yhIJlsiZeOtKI4wbynkkdskSHvt/UPnRG1Wr v+3cHXNTlv3LGdvNzOp2ttxQAztxcEYCrxcNsnB70mNxuHHBrVGJRYYAibSp GTeEeEMo/arQ0KYCaDeBg3FjpidOFia2u8c43IlDEHKDf3syf4NzI96LpHi/ nufja3vnZMu+yBZJTn2y3VEA/LKPY2pQZ4w1RRk3fhLMjYfcYIc7I1ytgC/o 5ydwg5dchnNuxHixVCWRuxys5nwBn7HCbl+/sHl/yXeaMrXFYAFhzsuBMdz4 aTb5aR45CYQFY/NYdiNZ7C1d6i1DdKxZoXlredoG/je+tUr/wbry7etLtq8q /eBV45bV9vdfsb+3wIBIWU3Yqq7LiW4xSd2+Jmna/sTpyfE8WzkM3EUBcoQn KX4cUydnM24c4Sv5SIWPCWYlfMExyRwSMoecm0OC5rDxqWBMXtb5+u58/SE3 fHgqtOghN378E3PjDzM0Rg+H22e8YCNwTZf2i1twhurVtPoC7bDRQQw2rtCR 2xTu/HZv5NfhOyNXbg/33Blqu93feLOjBrvbUB0MVJZdtpX0mfN6DNldZZik 4PuW2pabjMFGW258Y0ZcYzo0pHFupDBu1CSoa5OgejTeiFPgjsNdSImxR5ib G1FQoQnhpV8Kzg0MMMCiCsN9SwRyIwZDDsYNdQbDiFrhSki2RNSZ2WhjDH7v W7WzrBpwJvFF9ZVuGwHT7g32xRsrNxzu3H9o4P2Eke8dv2gbr7jqquoAXLWJ UOmeGC4xS9lU0gpFoFmK6UkgR4dgjUqscjBKlVZFHuMG9zesCurUsM9kY96M 3lrkBou9H+HG0ce4MYeE8eVGVdyujJvPtiTvBRne75at/bZyp3/F0Rg2lhPl ytSNucz0KDemPT6Y8oNwIHB7Kac83Dg7hhtxc/mKnazEnaUqCXxmeoo3I0YK CLckyWf7hZ3HnWdSO9Jqr3Fz48B03vg0Nzd+nM+g5F4xeIFX4EKvoMVekqXe oWtWqtcuS1zLz2gjZivrCre+UfD+K4WbffTvrLK+t8K8eX4pv0LTheVs8aIM TM2AnIdP4+Cnomnx1mmueuQGj53YXJ7pJAC5gdnKDFZ5fgT5wF+uU5wbgZwb bC3BOSSQ/YrtnJvt6/sKe4ybGz6eyTXCho0/FRq/Z//6Y/QHQ0M44jZKv8Fg Y4FTtv0K8KEQM0AjnzJ/pZ0ODdDrd+idexR+/m34/oO+e3c6RoZab/fV32hn 3BisgQEnBhslvca87rLszmJdRyH79mq7mNyandCShcFGXEN6bAO7j3MjQVud oK5JVFcnAOLCFcMX++LcsGvxVsHRAWyOm9viCLGqFTxPQW4gLngQEik3q+LM Kva1Z9WkYZhhViud8cmWyBoL5wZ+79uiZuNmP89nZ0TOm8vKyOH1opWkZNE2 1/uH2nfs6d2iun7I+mtC8628Xn7dtLpUoSMGCtyw8lQFAw9TsMTNDWaNYieU Y582y3LZjsANOXUwR+6T+hzoqR6PG8fYZc74OCwPNthXJPuMuy0O7XwSi9zw wtxhTe7ST0q3HCj4CuD7i7/6FbcKpzT6Zo0dTIGHxRvfT+eLf87k3GADvm5u nJnN53oIFzoR3NH5LGGJ4QPTCd7CKn8IEPdOovdruk3fGPap6sOKLkFDq+C4 CtNsZ5If5zCXAEHEfCQ2tXb+We/5/gu8gpZ4SVYvV65ZGiec7Saf/C3rct5f lfPOyvwNPqXvrDJvWap/e27BGv7bZUS3CGMbkriAxL75WuLuf+aAvBxM9bNY Nz/q4capmcxLOTudmSrHCEefUMk2hy0AgueAb2uAkIUJLylyw9vDjceg8efm xh/pgo4ecQsvKT9IKft4/ZMm+9GCWGoDaLZTYdwEbwfvUSTGrfu/wM/3+u7e 7rhztelWT82N9qprTXYA4xUHPORGUWZ7flobWxU/uSUroVkX15SJ0IipTwWE BpuWgtyIV1fHq5AblbEqgRuVsUpntJJZHFEKRzTeEwIeMUowbiBD8E4FpirW yJAKrdyijsX0xKZl6LCo9Wa1ynk+wRlfbWWZSmxD7kx2waZovsIMq7ACPmgI K/MXLC5e/rnr42W1K/d0fhQzdCrrAXbmRPxVfx0GV/bKaLCG8WmwkgC+XA9Y Zbgv5dVfDClGxhCGC6Mk2xLGZrkgNyxubmyqy4RuF3JjuidUZiMF7MN8nAcD p2a5uSF8e+KJyYiQrZDo+eS8F3Zb73TvDSVrvqj8AGBvzm+Bpf1gtuZ4wPG4 uTHKDT7FYww3jgM56Vljh72x84h6PtEK3JhHNJ6QI57jIoG5sqydRHaPV8Ir O/I/Oms/fN6ZUmpvJN97uPHjLHKIMG4EcvoFY54yf95Jr3mnvef7LZ0f6LNQ yWxnviLH+leyN72RsWlF5voVF9e/UrTxVcPmxcXryEUf/pYuJllAUhayXCl6 +cLorTvSfzpTAEX1M5pr2AvFh1SmkZ9msfDGz+NySDk3+DxZNqyDuAid48nC WAjn68uMI4EbxNfHM17j2Q49ixv/sdCAcT2N3/nPwcOtp/QTSvdQyj5zO3/R /PQgLfxBKX7h62lzNe3roFeu0+4RBpCB+w+G740M370FI9c77gw03eyqvtHh Qm5crTbic/vMheNw40LC/8/dm0ZFkaZ9n9eZM5/eM2fOnPkwX2Y+TD/z9gcX IJIkAWUR3EXF3VLLXQpU1HIttbQEFVDZZJFFtiRJkmSXXRAQFBBk33dkEcEd FXHXe+7riogULau6+3m7q/p94kRnpwlkRkTl/Yv/tXehkRLfkaZpT4U2jKTE tOhjODeaEiKb9dCoi5L1RrjIjdrYcI6OehzpGMIBUovGi8iN8JrYz9zgUuR2 dHxVVGy1GldCVXRtVXRMnU7fmtFwm3K32nKn362DWq3cfULyoJgJWaq51+dZ 3bZa1Gz/S7+L+4NzWobFFA8/FI897eu+Vt8UbyCWLyWLYqGK6OKoCEikEhXk RlUo3ArKaknlisuz8hJwbtRiKTe0pMBQLdwpm96sF9+Ey2yRG2ICp5Hkq7xI 338MI5KXI0ohaEyxqU4iSo7ZVy3WNiwFcE77CBWPc243Fzfkpot1nV87Rc+L nTdk5wZ27BF7/IrcoB47IjeiFUKkIPolsKCeKxwtooNWumitUHyWP49XLclY euTGwYvXw/yHClMmmprEuUsnjYWTCvRCXKSbvjc/coXitFJxVmnqZWXmbWuO 7UrMqXPgErt0xzmpS6zTF9rmLJlV6Gh/Y4V5wQIhy5auiaWQyRWOOYIrViXE LFqu33csB3I7pnT1QtLY9KJHtOTRlzJN8J0qeTkC6Ip5gzRpxZdi2edJbwQS NLBjgMgNhMYXeuOX/5LcgG8+/9efy3zG1jO2izEseV77Mvjge63PhyyAG3ms /jbr7mYj97EgZfQlG35D6ODceDUGLx8Ojd/vejHY9Kyv9mlXDXGjZOQWyNzI 6C9I78tL78XgBXEjXdeeqmlLiW1LhtakGEwTTUBuNCVwbqDeqEeBYeBGBEmO z9yoURsWcjAu2ChuuYTXYHYH50ZitRrtmprYGs6NWm18a0ZtjQaqY/HeNMzv +zqx+wQJ9VjiRoZq+XULoXzmd42LvHsPbHu4EGBPEYOu1yX9g/WUVG+YgSR6 RMVCFdHFgSy4FYTcqLnMn2Q2JzaJ2ebIjShuJxhxXAzcnvL03vQrqBEkIwW/ zGcM3KC+NAG09MJNJG5EKLCrFUoOpZBkRq4De2e0GeGnZ2n+T26U3Y8hyfGF cwO54Sm2Ff3MDSSVD2C/L4kb3KwQ0DZRyzbRZa49JMmBFyQekFdpMkDiMaF0 ZoL9lsxtu6vOeXSr9c9zG5kYKjVGtX/amG79FOFFs0UQ3BSKszNU56xVAeJ1 49bKIrvEJbb6hVYpC2wyHWblO84qXmKWOxtgJn5KKjpg0buiVWG9SbSNXew6 14yjABGHH9TH3TfKvCOaRcZYXH+evKPnQPItIxyoctbPhNqCIS5EaHDhQZ9u T3bKV9xAaPzX4sYf79AQt1mMrRDFBsAph8fg/Db8l/f6S5/4ai8tZvWNrOsO Gx5mLx6ysWfs4cSnkXefRjg6Jp6OjD+AF3e7uJEy1l3ztKvqUUvl/VosmB8u K7h78/e40ZoELYkyN3SRTbqIJh00xEnc4AARuUGSI5TQEU5Oj+Dq6PDb0ZEE EFQXt6M5KEJqNBpkSAzOWxFfrI3Ttl6BpuRu4gbcrYWua6LeAEoZBVyVaSoh 31y4YelUt0pon73x6WKAQ1kMGhl0jsIdLI2tr40GCsL6U44oekergkVuxBNJ ZG4Epzbp+B9oqkKPV4VBTaRrI7le+8umPLkLRWVwsVjyVZJfVEz8lnwO+Pyi iRBiLB6bcFlAbsSaopdDL3ID9nY6bO6AH0fhQv9xbbtPcX34V5EUXBdn6PFn 0UFqRDbRNH5TxvJSj2n4CnpUaNBJrInUeS+cvMTRKDmQG3Eg6KgJWAIBhIsQ jRn/0bz0FVtLD51o9tQ+jmhgaRQqNUE3qYd4zGQE/WJMq5uLEHNTTxyhQlMs 58zQzLeLWzAjbo5V4nzrKwtt85ZY5y9UZNjRQVogNFIskFEaFSqfSKXissOO jF3cEvy5tSm8b1pC05Scimn45u7kVHEzoY6g06neDSuL8Rj8ueAxwmYgvsQN b2NKjPkNbpz8L8aNP96hYfjcxZQdyv9jgd0grH8N+99Ld9krmOtV3crah9jQ 4IexkY8Tjz+OP//0+PWn0bfvueoYHr/f/3wInvU2P+2oedJe+ailQuLGjTzk xvXM/oLUvrzU3pwvuNE+iRsEjcjG+IjG+M/c4I91HBpqqFVzXIRJ3IgLp2hs GHFDNFti6DDJIxqTcTsG6uIT6TlwkrSgY7OmRoOrdei2WJ2BdorEDa3SMtVM yFHZXLdYXj3LvJ0L2hWyuuBqQX1noKKvFKjihgKvgdxCQW6Qi4O/oiUXh/+t IMRX5aWUBk1DYzw/T4/b4Zk1kSsbiBt9xVMfDUB9HQS1TJNkwGlq+HmWvvze spHOuRFAAOHWCueGRolejnhay6hrVPOuw9qGPbs7N3s0Hoipcs8v9S+riPma G270eEp2ip6aKgVhT8sZqh5i1ywuZkTjSMDE7MsKlBwxlG+mRpFD9W6ATg8N mTAxSusE+7X5mw5U71Pf96hnWoAm/Fu+AL2mk5NE9pSiF4Jzw4xKP0zJ9WFv GTXXJmq2pdp+ZsJc69QFNtkOM7PnCqnWdJ1VGElBjyiJjSglQizMzjJ1E8Dp o1X1/o1TosoLkvOnW1dPE86I3DCYJxKBUWZc5CKEqykjCRro/uVM5v9B/yJy gzp7fOEU/RU3/md0iv7BGRpfbXOo6BWPwaIdlj8/98MbvkjVF1mKluVdZaWV DNoY3GUw8vHxyLtXD95NjL179fL9M4kbD/qeD3aO9cCTtprHLZi8cb+ulMrZ YKhU5kZuak829GTzFS1yI75dtFMS0bkBENkUT9zQcm5EcGLUYxgFPRsSN0hy UPsv0VRBblTHcIbwr2zM7Sg0Xuq0HCLpt6PldQ99XGY0UzVMnW5aQ6KspS+C WAkicgMdCJkqhyI7ocJqVhf+8uoHcOLZct3rQ/UsAqBspLuhAYMCPqQrfG6R 9q4O5dzg/4zl3KgMjqSx1DG3w6Aupqa3qBIgqFoP1RHQQKHknnyjh70w0AHq QZkbZwymyiRukDcPX+d2eoSAAiBKIcSbUsCUv2xmmwfLKuf9UL3W7eauJY+P 7HvoEX0nuKU2ZBI36M3FTEu3SdzwkrmBQRwTXM7hghBjTIuaRiiGoeQgRwfg HZ8UDgoPDg01QoM/msaolmYscLm5Neruz/y7Mb+32QWr1cQ07ymC/xSZV7Su 3Sgt5IyChIGdRbi9ZZitRTQmn1slzbfJWGRxxV7QY0oqTmzMpF5/cSo85UhT 1D+hKjPNcgC3H2/Uny3zC7yaKZTnzi6f4lw01TvHiE6NoipnxSfk7A3g/5zu 7ExNjM8bIUO80ekqOP9FPEJKX5edGyI3vk7e+J+OG3+WbSJus8gdyo8BuTz/ gdv3LznNQ06z2BCWmsQKClhZFattZ+3DrP/xJ3j0Hh6+mXj8+tWL1+Ov3zx5 9WKYK/HnQ51PiRuPmioeNty4X1ciceN6zuD1rP5rnBspPVkpPdjsdzI31K2J 0GLghjaiQeSGRuJGvcQN2VTRhImmCudGNXIjUuIGt1PUkZwbtZp0jo5aKTGj qxoNmdSuqyI6PnOD8r7obkhWgJDOTRWxQaUN/9+8vjk/ja7VPz+e/za26RU/ jPy2vFrOBDJVxGRRv5pwqAwKqQjgUqf4VhB/r8P8MGoiuG1S1Zv/BGBpjRYa dcYNsfiN7c6Zfr8dXr6gm+PkYMpZefiI2AQvUOZGAHGDL58oKlfRIN84PSzS YeF1262FjnM7tiwddj3Uf/xyj2tJxxka503OjYv05u7iWFhjsdseteT6zA00 0/xMMcEywpiaaFFUmiQHiFWlalPyqEyCRrQp7lGmcxLtdhSvBdhvVRvj0NKy 5zb4l8CVXOLGBZEbU7BDl9t0WtrG6DL14HCwMb9ko7pkZRExyzLWfqZ+rnX6 PFWyraCllNREKuFHj6gZt1ComlWBcaXQeVzyuVyDY3nnvZK1wg3dwpIpe/Km Xkw3zk4gXKB3VAYITovj0KCL6S8JD8FHFBuTuCGKjVP/NYKwfy40+KcvpMet jO2264UVz047v+L31tDzTBPJ0lNY4TVWUcWa2lj3XTY8xsaefZx49hbGXk2M vXw18fLJq2fw8kE/X6RPu5set8KjxooHdSX3a4ruVRYMlaBlMljEuZHWl5fU k5nUnQXdmXwBc2jEtydrZG7EIDfITmng6IiDb3ADJUdonSRCMMhC3IiqieXy A+2UanVMXVxsnTatWp1fG6dpRHXRBlDRlBzTmQdd+SJJyLkRIMjcUErcSFEJ eKT8azxPaIQVXXPP3N0Y8shd8/J4GfNoeawZaiuj8t5ykRtkoYguDk68oluB 4SRFYuqi4XbY8e5cV4DN3JjiC4rLp+YEXMV+KVP2I0dl54aoNzyIG1wM+FA0 NtBI4gYHSKQCRVGU6MAUDxWTwWbnWljfWDC7cc2Krm1H2zZEN+0qqzvdMMoP IAvXhS8R45TIDSP6uKmor85OpagK+jCpi4WpEGkshMozEQIlyYG/wA2WWFNK 3gAJGtx+4TDhyidSMSOWQwDDOtaVEY63YX8JBOU5HbkKsbegto0Wppu4i2rH CP2W7uYAM1X+lmaBVuZhNpZccsTPtUqZbaqbIajpU5JVQoo5elFiyEIJpxPH YLT1XI3DlmzYl3RayAkSroc6FkQczJgWkih6LabJj1Qjc8FYuDANuXGBSt48 uQKxp7P7Jje4JPs958YfuPr+09uf5dAwbHPoGL5nzMmyARY8Or5x/AzZ8vyr GE/tMvjXvbyCNbWw3gE2+pQ9GWfjEwxevoXxlzD+HCbGRsbvw/NB/p+Gc6Pm YT3crykZrSrC8vlSXI0DhRkYh81L6ubcyPzMjTaRG0nIjWYdl/qcGyQ5JnGD myeinYI750YsvRiH3KiJiaiOialB1wdfvFouLWrjYht0qTWxRbWa+EZ9KWoM 7VBjYkpH7rT+G3yFGvcUiauSuCFOGtURN2iZmF/HdqNCLWxqn+3fv2PnvcPe Y6tT3x0snwhpHcrrLOTQKKkMxpAK1bKJLg7+LoXkLM0UUz4qL/l1ZroN3z7A GdJQCu3Z0JKIq/hyGZxsnCaPNTFwY5rIDSmN09+ISrRIePB1eslEiKZ4R7RC LJLlqsNGr5xZaGdXvXhtw+KTNWviKnedHOBLNPzOuwCXvGqyd6ZIOZZuRtJo aT/AbntuU2URQm2yojAIQhEHqU0x/jSM+mhxmZFEKzrG9DM0+B6BP+VoBdhq dSN8ZSkczlsVmrpjffnhC03nCvqh64HMDcQFte1y52+jUpy1UJ43N/OfgZIj 0m5G3OyZibaCxlxEOWa2J6rQ9RqlJAtFgRBDbgjWEbAmcbOgPy5kegiF51Zn +xxNWcD/JGZgqu7OtJsPQK6tQ1cGtgw9S9y4MF3wsBcnTHFoGLiBB2bgxu86 Rdm/Ozf+RIeGuNnSMazhYgNgty2WwnPT1fPgxwCPj+FBTBPH0q6w/Gs4J6UB oBtg+DEnBoNX7NUbNvHmPbyeeILxlNG+Z/1dT8k58KAO7leXYvJGOXJjAMth 0ymektSTldSdkUjzjLTIjaRJ3EiI/GyqxEEDcUOihPozOqRXNKKpElGD3Igg vaGt4b+j0dTrUmvjCmo1KQ16/OAG/WiDHhfvnVJoyzLqLBC9ByZo3UfS/VSL uVX4YppKyMPFYllltat5oUPH7jUDc9werUt+dSzrU+St0Yj2lvRbwZwbGEwl bviTiyMMuRGE3Ki6dAwg5XZYTHt60D2cl7S2sXh6YBl0X51eVga6Djg/Ookb p4kbnpO5YYQ3SpEb4hFeIgfmZczlQG7EghCnVCQoLXItbMpsN1QscL+xwqzB 5adHnBuhbez84CcQvPqJG4QI7JdOvkofIAEgvkjvGSQIMdOlz/IhR3EgcYPf 6LnewGtC3BChwV/BTA/RkBGEWG7KbZ5ZBN9dXXAsbaWQu31r2eGARs/SO2cK h1IKX3JoGLghdsVRCu5mCk+V0scCJUe4raXa3jLeSoiiy66leBY3UtSiO5TE RrCYxGJiFgwOkeuE+INC+hHz3OMb0mzO5SyySd608/qBy63Tbz+SuXHamPoM U6dTbyOct3J2MjdksSFy46QchP3typQ/fBn+/duf6wWdfAzLRbFh3sMv79Hv Xp3i3Dj20d+ThYcwTTxLy2b511l5NatvY52D6Hl7CNxGYeNv+P5h7PUrmHg6 ivGUgc6nXc0ANQ/qykdvw0hF0fDN/CHOjWuIiTtXU/uucm4kdl3hO3Re0eBs R86NpNjWJHWLnov5qF9zo/5X3EAvB75IKejqSOJGFHFDI3EjPrU+vqA2Lqch Aft+NKfc5QZLWxb0lUBPIUHDl8RGqJzLHSdzI5XyJAthbvnMzXWOZs12m/tm X7i/yfvpqeh3brmvPRofRXSUp5WTU5Rco/6ii6MyGE2gyqCMqkvIkNrI9LYU zT2sADNpKoDchikDlUYNNZDVD5fGP0tr2UUppoxSWoU3VZyJ2V/BmMVBZW4K bL4XTV4ONaAFoVGq0pVWxVZbCucKN5ZZNzmfHDvJbYdbT87feAnEdgzFEh+m 0dClKVyEGMIrlJJtilVgUdMlZ6w3VccEUNJIMDUOotgrUKUMQgPHM9Hr2BuE 7ypVEsy4Ct+nLRDSVljkbHO5eTCswbOqzzWmJzD6aRGGSt1Ft4P4RCG4K4Qz ZqZcclycoQq1sYi2V6kthHCxtakZOjfizNAjGk5uDX4MwViehofKLaywZYLG SUjZaXVlpguWsSyZlbTlx5JD6nZvupjoFKVsjakUaObsJbHhwc/uV9w4JTs3 xCDs1503/mBojP/jfwK/eoLbnwGNxaLYUGBXvAOOz48DuO354PnzJ/8LLPwy 0yaytFyWd5OVNrDqHgYjrJ+Svp4AvHjNXnGAUM452iLoF+1uftTMb7TIjXsV cPdG/tB15MYdXFipfbmcG/quK/qudJEbGpEbbUnqVuKGZKpoI0VuNBhMlcnc IHRI3IiNrFFzbsTUxsbUxWHcgpsnnBsNCfl12uKGhBKKpAw3JkFbJvQWw2AF ccNP5AaQv1HkBmCgU+TGVVh+w1K4NdOmwXZn91zv4e2H77ufn9gU9fEAgDjK nRsjeWiqXMS7NRaqBOUCtFUGpVdd4ue5BaCoOSF9GBNmoTkPWrunHGqE3tap 1++DLDbkcrMz0yZxg6xyb/EIiRsX5fLYEBOJG9HEjVhTZaKpTY7Fjgx7odhx XosTgE02W+PfC3GPSnPflQkXKmR7BLkhBE7BIOwvU4gbRrgYLygwSyRcbFFo JCZYkvlGNaRcYOgmQ4MiwlGCJDaIt2bxSpt02BI/V0hZbpu9bd+Ng+r6Oe5l O93bAtxGucwrJ7ExVVYdxliD5q5UeKmUvhaqYCuLCGtlhFLOnyHnUiyFUULJ zRJkInODIl+XFgoxa4XEDQuyLD0abISYpfOSt/9040hCJ0hmjpvoDqWoiic/ F3u8sJ4iFb/khhiEdf/TuTHA2BLG1Iyt/Uf+6k93aBgOYwEleqHY4Fd2weOj 3EjZ9sH9x09ep5i/HwuPYBo9S8plOTdZcQODXtY8wrqpI/EDIsb46w/PXr16 /PLp3Rc4GqOdAvq15D8sIW7AYDH0F2TcuYoFbL05ST3ZHBq6zjS+Q0cqoqM1 EfUGukYTYgzcaIyLaNDIURVJckzihpq4EQt1xI1atbo2Vl0Xh2VvdXE6zo1G PedGRUPCjeYUpGFT8rS2rOk9RXD3Nq0Of2q+IRZlUEImvki53MiNbBAKVULZ jAW11gc6HRw7dm29u/zQmCPALt1Hr2t3oa01piKA8yGz4qI4UYVrjxyAlspg zg0uMk7wK1CvLh26CWMDJi1Z0NYxJawP7vdNrXkucQPvwme+4AbVjEz/zA1f qrPg3AglboQaS14ObD2K3UcVcaazk82ETBvhmqNj2wwAa829LT/iud4gx5QO oFg4bUT1I1OEoCnodz01ybnhzU/fSLgkT1TxkvKj8BP5vT7aVDJSODTCEBQY 2YmUxIZYO6NUgz03NLSzhaTl87K2HCk1T6hz2F60f3t9+E/30M9zbCSXWgii X0W0I7jkUJw1M71gbhZgZR42QwiVeiGiZyORcr1EdygnBtbCo6VGmTacZrOF yEXipBsAWyF6+ZLUHb+UQVp3AMW+05yd0U0keBA3vOwxm9R9GmXG/hY3JKfo n8eN5dSql2+OjGX+fX/yp9smhsOYS9DjYoPfIsFu9KDjC+SG08fTB9k5d+bn y0IvM7We6XNY5k0G9ayim2HS9SPW/ZwNTbAHE+85Ol5MvHoy/vTB85GBsUF4 2tv0qI3bKZWcG/w9ud4YLM7pL4A7eel96B8V9QZxIxU60ogb+tjWxC+4QaYK SY64yAZNBEkOfPwSHdSKRxNVi2JDUxsbS9xIqouD+vh0zo16XUWjvrw5BUvM WlKhPcuop9BoCHudUnOGMLkINM6USicohUOMIFzhkkMllFgsr7ba3MitgOUb BmyOP10FsPfCJ0h7f7L5rVdHhZrbIxUBuFDJxZHGlUVVSFrVpcrqsEjx6zpw XTnWi4uxvWV6IQ4ymNrx9hvcAENIBUegilkcVGdxSS5zwybnsnc0UkA/QzQ2 IBV0pkLaTCFPtbaDryYrjjX+C+4D53QvDwZMgLzRLJIAwDWFYmOaxA3+/uHT 8PUz8pTG8yDV8vPbfYxsuInQwFbJZKSEETcwEm1iehnmR1oKGjtBv2xJpupk ibn3jeXzco9uqVcfH+Uixn9rX/jpOpC5MRW5cRolh+k5c6X/DFWISnSn4JVP UnF5I4kNTi0OjUAqMwkUIc/RYYWWTpzZzlvmwmV7IWrVqnQvjwqLnJ5NAOec nXMx1OtJRorIDS9ydEjdF7/kxkna3Ygbf6Zz4z8Yq6cn+2j//e3fwaFh2OwY W8TYSi42AJxmDnKxcQjgyOZ3J3d9On2IgTsDXwYRDBIZ5DIoZeJ/hOq7rOUB 6xtjwy/Z4/G3Y+MTLwCejI+NPB8ZGhvoftIDj9pr7tdXjFSW8pXF/2CwOLe/ IP1OHlCmaFJ3pk7kRkeqrDc4N/ScG+qWBODcIHTEyNyIIskRgdyIFQXGZG5E 1mEKOnFDo6nT6OriMJxRH5/RmFDQmFDemFjVnNLdhs4V6MiGniKjwVtA5rmB G5TFbeBGkuwdzVEJRebrK2cKFctnN87cescOYJ3r2OH9HyDww76cN8danvJl piaZUU0uDl01tR3meuN2mLRie3NB9BK3N0DXS4N5AlKA4wtuiK7R6TgF1cCN i5iEAGIiR5js5Yik+34UoUOjEJKVQrZqS5cFgP3MgsNb68BzEOKeg8czt0Oj urgmsYhuCt6yzxqcG8bYZI8vxoip2EZYbAJ2lvwA3tRzLEQh+opJ55DVwK2k KEH0PBi4gXNSwlWC2k7QOa7KMPO4bq6IXbfw6qntjVEAe5y7jq5udl9TBRey Ddygtn6nFQoP9I6qgshCCaErz40UbipeVkgWSoDxF9zwEwtaBX5Uh26rhHCu PQ5tyACfW7P499bZOUBsrCF4idywx9YcZ/Hykuk3mRtTpSDsKZkbv91WlP1z VuX733h9nLH/nbG79PwUpUD8zvbnZmh8tdlQ/RrXSGsBtqp6uNjYv+T5QX5x d3yA3QwOs3Onma8/C4pkkQkMsrASIaeGFbczGGAwyuAJu/uCPXj58cn422fP x7jqePBsdODpQO/j7uaHbXC/oWKkCrlxF0fBcr2KlSmkN6A7Q4d2SqquI0Xb kQLtybEAxA09uUZlbjTJegMBopHRoeHciKC0c3wEoC6CsdxI4dDQoIWiRW40 xGdybjQlVjQl1rak9BE3pnfmQG+RGPQnb1uIzI0YkFK/+F0vUfKOChkqywKV aZGtcNNyYcNM5765AJs3PnDa+or/fCv/X+YINFEHjIqLhItgqA5r4E9uhzaL 3Gj4XHZn1IeqZGriF86NqYI0tuNLbpybxA0xiyPU5DM3QkC674voiFEICaaq LLOdPeYADnYFp36oA+9B+5in244/9Fo1kvhja0TC9TO09MQgLEhO0bOCcNFI iJyKTo8zhh6nYt6UCYYzYs04TvEPL5GfgdSOQWxIbodAfmxKIdpW0JpuuGLm U2wtxG5ZXOD5QzO/Da3dULdzQaWX6gY4Zx3Xx4nnK0oOQTiNporyItlfYldk zg21KZI82ETstIOnHGQsGSl+9CRImBGrdKvhf7JdiIzalqkIqprv7LxXcI6Y xA17LKU/T2LjzHSqevuV3hCdG2LyxunfNFLYP2FhFjD2f/zqRYNb4/9krJZe cWLM9bff5N/EoSFuQAkbi0lsbFS0Oc0cgvk0k3HTu6NOH0/uYaePsHNnmK8f Cwxn4VoGGYzfuTKqWEETu9HFagZZ2wMGzxiMf3o8/n5s/M2L50+5EB99OtD9 uLvtYSvcb6y8V1V692YBjp6/ntt/LR2dojmpPdhzD7nRkcqhoW1P5txQIzcS DNyIaY4nbnBTBY0UaNRyyRFJ3Ihp0EK9hmsMdV1sFCVsRJHe4P/k3NDWxell bmQ1JhQ2JVU0JTW0pCa2IzeMunI5NyRoSLfLMFNcjFHEDa2YrmCGPWqwwaZq dp5KKFAJpRaO9TO2dizkQBW/hBvfgNdbV4DdACe55Ki4iHWyt0O0t0PQFVkd BkU6bqAdbYrjpyaMYihWdF9Mje/DR9I2cns95AZIgRVPkRuT7BRfOdtc4gY6 ckXnJHopReGhVdjkUBVJ6sp5BbC7DvwGFgQ/2Ln3nu/CwfhlA75u9w6lPzoC 4IefhUFYcop6mOAIktCpWKhydhI3zlE0NpwqcGNIVIiuhjATxFSoIBYRSyua c+OSqRAhKDSm29KVdhp7M42zY6HPrtaZACuW3txjVQRC0eFlDU6/9BxKHpna +tQgOZQKLxIz/LOwxzviGt8/hCyUi8YSNwLFputA18GIm5ZztfyjbflFsIiC ndmK8Oolzs6HBWeNxI0zxA3EBQkPqYvaX6jthvgoc+O0HIT913KDkaj4ajO4 Nf4/2TzhYiPvt9fp19ufFxoWW6UtYGwZY+uE6q2qXpg1Couf7QU4sOX90R8+ ndzHzvyE/g1fHxYQykDL+Hco/hpLK2d59ayknVXeYQ0jrPMpGxpn8OIdvHj1 7Pn4w7GHIwBDj7o7H7TWjzbAvds3ZG4AZXylcnT0ZOG6Rm6k6CRuJKnbEtXY tyeBc0PdrAPOjeb4GDRVJG6QzaKJxCke2iguOeo1HBTqhnj+HNd8Hf+nxsAN DJ806HIb9UVNSWXNyTdaU0HkRvdV6CumtSC2dgkmXMSKoVjSG4lUP54EYn8t LjmEqyrVdfPVdZYAjvyGvngQvhtbvHxs497n28PGt117vrPpMb+lcRDkVIeC 1Hc0HErjMmsj9gOsaUsyHrxp9vK++AWeGjwEh7Km4rrzmPq5ru1rbkwnP4OR 4GckzVD2p0UULntHI6jJfzg5KvmuFubnmRLuNjlcg/31Ku++peeG920fCLDp jbBqd3ft2Rk5uAEAWyJQ6x4S/F789j0N9y+4QZGIiwLmeHOKRtK1Eu2FcBMU OSHEjSCQzAfpR4JlrGJnmlKIWGih3bOyePGedht+7vZXD+Fo+3wn25K1R4eX 68b2VjyZ2tg6TTJVzoo+WLr4OhXm3V0WxYbcZPXX3PA1Xq7jH+oghATYxgg/ 5iqcnVcDnBKc9RI33OypSHCa5Og4C9/mxkmxdRg6NwT3P54bBrfGNsb+X8Z0 1OXmm4v03woaTHaHcrGBk26UHTBzyHne450Aeze8Pbj5wzEXdupH5kEBRzE4 HkT9gbUAKVye17CCNlY6wKpHWPMj1v2MWysfHzybAG6pjD0eeXK3nxsiD9qa Rxuq7t2GobLCwZI8gKz+axl9eSm92SliOiXfOshOQWgkwWdu8F3iRpRkqnBu xMVi+y8NlxzcookiyaHmzxu0sQ1x/JXE+jhoTNA1aLmRklqvTedig79/I5cu SdCcDK1pyI2uXCxUv3MdhPOksUPl5htq8RHDjlT+CaKXA9FBXg6rYtXSW/wG utS2ARwHYenQ0oUjW9Y8WHfq4bqwe+uvDByo7D6NnUVDYyuDM+uwmC63PBba UnwA5rQlQn+hMDYAQ/2Y65XbCpuSSXKclYOwn7lB0JjMDR9yOFyUF5GYahKK 6xR9DmJg9LKYgk7DWBNh2TWzI/Uqr+4VJ+8cXtvtZ9Xsb1l/ZF3TZoDlqR0u t1p8BLcMui8L6H29NE3wFxeX4ZHqwgIFHK6qNaVOoXTrDyZYYQR2ktgIIK8L HpjJLLViWRwXHo5WukNrShSuLfZclKlSj2FYKmedkLloZ4d17JvleY8P32iJ EE6Xk6kComJB5wbWspGREkgna+BGgBRXEq8GNgHwE4SAdZz582IFZ2eLlXHo FBWxgGXyYkUMejbELI7J3OD7VIkbpyjEQ5GUP4MbX7k1Jn5jhX5j+7OhYU8H vBwLoJo3W9wBu1GnJc+56t63/t1hyhR1B/D4iXn+ws5fQF9oQDQLS2DqTBZf xPjCzwHgcr98mNU+YC1PWffzT0PP3o0+mxh7ch8e3xt62NsF0DLSUD2M3Cge KMklbgDXG1jRhsmi+J9T9G9gcUoitOmJGzraE0Ru8Luduik+qpEzIY4/EbUH p4SGWnPE1MelNWi1TQkaEiFcYKQ2JqQ26gIadfkNCVxVFDYlqpuTvFpS9rWl Q3vm9K5c8VtkTEaKMfntiRjRIjeUyI14cfYQNdcSJUemyr6IGy+z+Ov2jbB8 0H5e13L7vrXWA46b+pcd6Vru17Lh6vtDtwb8OFSrgmvqImsA6iujQ7KzuWmg ak3kZ238qBNePZ2W8RzUtZJzQ3QpgBSEncSNc2iSC+elBDAQPaJ+5CQMNpF8 HaHkpQynVFIxKirGWfSwhnOjdubZjnX7u35e3OYzo/qMReWueZUrAZYE3F6T XH60vJT/YhZNf54uhFI7js9ig7hx3hiHnUUpBY3iM7UuGaNNFD5ZbMjcuIg/ nR9Dc+Evr7bVW68rVWy4MRdgi5B4HLmRuYiKBGdwyyXx8bGs5phVT6rOvSUg 8M8KJucGp7RaIQWdyQUqcePiJG5443wZHCF90YlfCmdn4Zd8WyGAW47+k7gx DbnhIWaaiYm43+KG21QpCHv694Kw7F/FDdXfcmv8KS3+fn8DiqHMF+teAb5X dcHMu9vnP+Y6jxvsXFof2fb+xM4Pbj9+cP/powcGqcDnIvMPZ8FaFpHGYvOZ /ibLqGN5nayEMjRqH7OWZ6x77N3Q2CsYe/H48X142Af3O2CkEYary4fKYeB6 bn9RDvpFr6KRgsUpGZj0hZIDTRUN1xvoFE0woINzI2ayqcLR0RQfi14O5Iae c6NRq27g3IiLb0mKb4zXkkMjo/VKRpM+vElf1pRYzs2F1vT0tvSQtisnOrCc zainCO7cEJ0b9LW/JAYFgEpUFJhxlGAmRRASqFYlifZ0SufApHLzOY2woG2O bePqGa0LzbvnL+mfv+f+Ur9njtmfXJqYO82KqqxBa72/JiL9asZGbgRxtdOb a/SgCd5MTBscg7O3vuCG6NyglTt9MjeoNlauqfc3krghdeSgqlW+kC+L8SAx dVMQYsEsATZcUx64Pcu9bfMPrUdnNXpZlB1RlW42LV4MsODwtbnHR52CJiD+ UYhwNknwmSaEUVn9WYNXltIsL/D3x/H0QgyxyF+ayyA7N0A+EqpqEbkRZLw0 mqNshhC+0T5J2HiTA8dBiHFCcy/HQUjj0LCYn2fp3sdFyAmHDu3K+8V+7/I5 CtoHxb5JKkGvRKdNEH2Wj8yNizI3fIxkbnDVocIfBRk7O5vsvTIPYI/gfEzu GgrEDdlIcTfoKAM3pkjcOC0HU35jkLRh+2dz4wM9HianKPsNt8ZXLf5w//O8 oIbNliwU8XjWKlu/N+8Hu/sc2mikrHp1aP2bY9ventj17uSBD27HPp4+gdzw 9mW+oSwgloWmsJhslByplSyrieX3sNK7rIJSvFqevoMn43cfjz1+/Ojhw8HR Uczia7lbA4MVJf3X8/sLMwEy+q5CTzZWpsjc0BE6uKmCdsokbqib4w0uDnWT lrih1ZD2iG3Q6LnAQMmhTW2IS21O0jfp+fvENuqgPSuvJVnbnOzRktxQmd0G UNKZE9+ZCyWZ0FdmdOcWDNZI3KDbNwghCpkbpsQNpZT9hTVuSkxD4txIofBK Djb2n98I1pXzzSsXm9Xbqlrt7DrnbxtwOPNgQcq7DQAHu96E3HlaXo3RgYa6 yLLC9Ln6chTh1/Kmj1TDs8fTyh7AVgwtTZXL2SjD3EPihgyN6VIDqwvUBMyb 0kdFbvjL3Ag0QW6Ek/AIFX28wJf5TD1sKVTuuzXnl2an9fWHZlSeMS/arSzg pugCu9I5GxpnHeoH7wc7o/p/Tm/zvVGrE0KorN5jMjeMBW8TdHXGmAqRJuK9 Xkw8o7JcE0n/XBQntE6yofCQ7PixzUsRtpSbAzgKMbvRvZxhQ+3CLFQJ5vuq VXY3YGEzrL2XFfyOq1bjhm4hO524oaNy/gAihrcUSDLEoD9Dg2sk71lin+EN OhPrS5yHRwTnpRwaYs0acWMq6Y1pZAdxLP/lV9zgRiJx4xcmnP1Xi40Cxv4X xpLkf/5fjPWTkeLwG26NfzeHhriBDI1ljK0WGtaZdYPV8FYAJ4BdjuP7Vr86 vPH1Uae3x/a8O37ow8nDn/iF93Bj5y4w70vML4oFxbPINKa5ynQ3WEoNy2pl BYQOeIh4aXvyuu/R2MjD+w8eDI+Odg/fw14u9YO3oL8E+osy+/LROOnJTsSK tit6LE5J1UnoIFPFwI3meNE1GiVzg0wVzg2dGmUGckOHjYvjUxu0Rc2JSa2p iQDcYIG2jKKO7LTWVL/W1H012f3803sKsnquwe386boso6EmGG6TjRSMEYgT gkwkbmiolF6cdUgOUnFHFY2NwlQzrqtm3wZl4SLTMltV/QxVg71Z44I1XfOP 3Z0b98oRwKVkwjfzBXSOlzVhO7KskpS2FJI3Tbcg7ua0A4XTfDvomxw27cvK FPhSbBi4AVKtio/caFfkRgitr0u0lkMoKiRmk0YJs/SwMd/UtWzRobrtS28f sCg+apa7RZHlADB7ZsGsVbdn7umCM72rLjW7Jtz2KigJL6nQGLhB0CBucEMg 1BStBtG5wT89gJokR5CREjiJG0EyN0R0BM/lR7IwTViROxNglaDeTmEpU2r7 YyGoVeapMKt47YL6kE134fJ7rhudqlo9QvIhsdns2mMF+m1EsTGZG36TuSFm tlAXrwDjbXpB8ONIPCpC4zM33KdgtFc2UgT3b3IDp7Ohc+NrvfFP58ZX2+RS lF+7NUA+hn+rqjqQK+WXkTt0rWnbBhVfW5iK4OzwbPeyl/u/e3Voy+vDLm+P 7Ht37McPJw4hDU7/wjw92Tk/5hPCAmJYiJ5FZDJ1IdOVsVSOjhYGhI4qyi3n ImNAHi09cK+t/24df4eK/hvQVwh3rqX35uEK7EJuiPkbKDnakxEdKDn0CA0O CuQG1xvaGLJW1GSqxDRq0VRpio9piOPcSOHcaEpIaeTc0Ke2p6c0J2J2U9uV 0t6S/Pb00Lb0Yw3Zm0pK+emlcmq1XJ9+pcDIOxtG+2Vu4OoTMwforh1FYcc4 gkacFFihVlfYl48kh5n1dZXFNVDk2ynLzFX1M82q7ZU18x2aZu/vt494Ptvt 7caDb73C30HJ+313XvCVry1LKk8vGRoqw29+Yes07/pp6yuJG8HcOpCdG2el jj1SpujvcOOiHL8QIw4hdAqXRG7QWUTAXL2wPtd0Z6mjS9WW2eV7Vdl7TNPX CKlzAWYps2YuvWnu3AQ/Ny71veUUU3Tqp1s+6o7gytFIwUMrQcxjOnLDj9s+ nJ8CpWMZiS3BZUeKbJj4ywdzUXZjkrWiCDVefMXETmsLsE6IdRRSgHJxVYLa XIgGld7MJn/+vNvuTgOg/rAWYPupZN9jZWU+faB/KWS/ILFxQTxl6T0/GykX 0OfDd+zi5WNsEWT8XayF4LcRR8p+xQ1qFCAZKR6ikfIrbpwhsXH6DwjC/qMb TKaHs7P93/j1P2ITD8mR2gCuVTStV/ZwsbHZ/sF2fq9c/HzPipf71r/av+31 wV1vDu1+f3TPR37NTx5l7ieYx2mSHIHMN5IFxrPQNBaZwzRFTF/O0mqRLVjB NMJqHrKWx1S38vD50OhwH0D3UEM7//GdmyW9hdBbkNZ7NYO4QcUpWJ8CWEef pGunAIvBVPkVN7jkELkR36zjT/RN8fiXLYlJjfEFzfqC9vS0tjT+FvGtadB7 vazrqqYj43RLtlNZKb/VzhmsgL4Ko4JSuHQN9ueYSLObQ3BYD91STbDPQxTV 0YueQI3MDYytYLEbZZCaWReBkDlLcVWlvGluVmmlrLA3vWVvW23n0sOXifXq Jw6HXkDoxKZrr11r3nn1jWtvJZRmFVXGNGOKe8PQNO3AtM+9ejx/mxvnJ3Nj ulRTPzmRg9wL1LVYBKAxLXATfi4L9MLaLHOn644bb26yvO6qTN4q6B2EVFsc SpKmml8IW6rND5Yt8CjYNLv86PftbufveeW+9GvA4ThaiRuenAMKTN6IMZGG kvgSqS4LlD0CBlBIDPE3uDEV/MDMwo2XZXJNMhtgE7YmSxV7DamESJUQBco4 pVW2+ZzyPa53Fug+ruQ3rEXZwT9Uw4WBytQJffjj2IxOI/TqGLjh/yuxcZ4q 17yNbIO5MrERfHeIrYYncWPqJG5MlZ0bk7kx9TM3zvx7coORQ0Ocf81k+fFn AeQLaHALxbTze/MBsBnZwuXigqe7lr7Yvfrlno0Te51e7//h7SGX90dd0Ug5 dZidPoZRlXNccviz8+HML4YF6Vh4GlPnsvhihEZaPcvpYEWDrPw+hVceIjoG Rh/2Dfd1DeGqQXOltyi/pwD68lN7crjI0Hemy8UpyVqUHEnxHRidRO8omirx hA6tiA5MCWvScnRwbuiaE7jk0DVqOTeSWpO55ChoTqhuS8vozMK3bU2FnqJa /jXszPLpyN5TWboivw6/e/dqjMpuQcwN458LTaR0CKyAkI2UMHIDxqM4BzGR Q0c+Up3BR4oAMU3HohXihkpZam1aOkdxw1YoswaYOad35opRuyMP4fKT9YVj u1MmPPM+aOofJOVdS4przHvYUCJS4pc7IOdpTJNa9p2VylImcUMMpkguDqqp p3XkayRxw1/mhljwFQIG1TE33mTVFatthUuWF28wz96p0K4RdLOF1BloKaSo 7LJhXalq91X7LTnrlFWum3sP+Tw6nv/uRBbbVfohAKAA61O8TISLVP0aKRby k2vlkokQKXwBCj/jyQzhx0YF+MYWEcaLkjk3FuBgaA2IaeEIjcuAncmjTWem K2aXzDzQOw9gxaKEbQvyInfXgt9gUcrLQxdH/H2aU9Kuy+1H/CYZKZ/FhphM azSXn773XMHXHq+AsyEXdBo21jgj5sRSnvlpAzf+MokblLzB7RSPPyAI+49u 8Nuf+6cABCi1dSWllK9TtH3PL+jMu1tmjaJzY9GYy7IXu7576bplYu/WN/u3 vzvs9IH//Oe97NQBzBr1+Jl5nmGe3uxcAPMORWslNIFFpiM0dCVMf5ulNbOc HlY0zMrvva8dfddy/03v/RfcYOke7Ojsr5PQ0V2Q2ZMHPWSqcG50pIn5ogbJ gQlgHBqfJQdyQ9QesSQ5iBs6bbNOR3ojjXOjJTG/CbmR15WT3p7OJYeu5xoM 1eT1FoZ05x6qLV1bhIbS9PtNRnV1kFgpGykXaX5osMwNbCtB6QrRst7Akaxm YhNgcTwrFVCAkG7GuWF2Q2VaYKO4NksomiGUWPK7+Zy2Gav7bY4NQdTwGs/h 3T5jHsEfwvTP3Uru+CbUhQfejefmUkwbbK38khvncP7RpHI2SWyIHlFqU2zg htEX3Agk/4YYDDVwIwTsNSbLUm025zvMy1+rTNomxCwWdDY0/QTHy85Ig+U5 qu3JVkLhcsvqrduGXPyf781k9qHYS9YvfZBzowkH2AWaUshV7DhKrX1DROfG JFD4/4obfL9obBVpbBlmJgQuxhmv2NmV88cMC2oiqBXPZYVlssKu0PJY9xx0 nCbsWnI1/sc6CLqbkTzu5Dng5lwbcT6/KFkrSyw/ecT8hUnQoLo/e34dvBd/ mxvuMjc8DM4NAzT4Lg6nJueGxx8QhP1HNxA/9FdRnsnbHwYQsb3GCip6XSe0 cGhsmnEXrO9xaOyY99jJ4ZnLyhe7Nrx0/f7V3k1v9m9+d3g7GiknXJnbj+z0 IZQcp0+yM2eZ5wVEh184C4plKPEzWGwB05QxXS1La2U5fax48EPl0OuGuy9a hse67j3pBxjubxroq+qm4nrozkvtuYrtPjuvcGjEi8UpbYkoOfgjJY4iOiaZ KmpCh8gNTRN/RRffnIDcaE7AQpfW5HzUG6mVXdmZXdlcciR2F8Dg7fy7NT49 V6Gx1L60DjK60UDuaIWsemMpAhtIzg2pMktAWa42xQKxKJEbJDbERI54pbhT wSYIaWamV1Wm18wVObZC3kyhyFwosgCwtG+c8V0HnOie+0vPiu13du5+eObQ a1f3t07RI/uvNZ8MGTxf3hbiVald1Stz45zU3QtXgefvcMNIQoevzI0AmRvB smfykvw8GGxijJckzfw+d8GMrNUK9Vohxl7QWQipCqrXU5nqYKEe01GEfAfr utVODzYGvrECwNlSNDmirOpOnnA+F98zyoRsH8rluEiJLpflmKxUX2aEKfoG I0Xkhr+xbTT/fXP0OYQZC1riBsdIKIjQEMIEc50wL1/l1mkvaJYIun3LC1IP 1UPY8Gzt2JqT3UfX3IrckVXgq9GIrlHKhyduiNA4b3ABcXPGhFqUGxmMFLFm jZoTijmx5Pz8mhtTSW8QN9yRG78DDfZncINsE/hdaEze/qX0AAr6SNAA4NDY OGMIoWE7ugONlCdOS567rH6xa+1L13Wv965/e+B7nJZy7Ad2YjdmjcIhBkcY HGPA2ezJwI9BCFXFahgkYbEbFDIoZ1DHoJ0V9n4q63tb3f+yfmCsafBh+9C9 PoCR3prR7pvQdQ268qArB7pzUGR0YBtzDWdFWxK1/ErkkkNDAVkDOqA53qA3 YmVu6FsSuOpIFbnRnprfkljZltLZlVXcm58OkNJ9VTdYBfc7I/qvQ2upUF4H OcgN6O0xzmiXMzeCiRtiMOIS5VRz20QtSGrc0PhLqxR3qfsoTko1M80zU2Rb CFeshVxzbNBxDblhW225oQGONNnPb1g2u9Nl1cjGHybm7nq70vf9jowPRyiJ LtCtg2ukWm7mEwrkufCUIEorVN65JiePqNz4y8ggOcCQTREoF3zxNR78mRsz I40XJVisypxrlrRCuLxEiLHGKfMpxI0EmmXAuZGuFPLm2Dc4uIxZXPrETZhl AIcXdcSYt6U5DUDlTcDoarQ4do1adAaYSKPcAmVKiEcSbPJZbPiIjQ2N7dX8 8NBw43IFf4fjIlhF3BDEYnxVrLAk1wy7Z8Q6KHRH11yDY42bw4etI+5/f6j1 5JJSzez0lB+qvPy7AvMefmGkfBYbXtOoZNie6PoVN6Z8wY0zv8uNM38jCMv+ DG7QKTNybvz9f/SvkB+GBoCfoWExsNlqGERozHnktPCp07LnLivGd62acF3z eu+6t7CRpiw5M3Bl8CM7cYCdOMhOHGanTrBTZ9hpb+YVyLA9dCSqjtBkFpbN IoqYpoKl1DPoYND9EXrfwp0J6H/eMPikc5CmuXdXDHcWD6PSyIEunIAAHWki NzDpS+QGSg7ixhfeUeIGoUOD/9QltiTomxNEbmS2p3LJIXKjqq+gvDsnk0uO wVuYdXavATpLoarOKL/bKBFbkRnrhmWn6CVyioaK3KAJZbEKLPYUByLEKSXP hjhdUeRGPGBGR4rSNMdMSLUUrlgIuTgxQbjKuWFhVW6xqRJsb9kKtx1ndTqu GLXdMTF726uVh17uCJvg3DjW/+7EsZFQ+lYMWQS1SE5RTxBjr9/kxhfQQG4A VWp8mQMW/AVALMKN58erFqTYm6odsdI8RiXoqD9YMs2JjqVefKlKIdtqfpNq 9wQXBpYr29cAnFRU600bYF2Hu9cQ5Dxxb30GknPDm7SZIZLiJyaTTLKYJnND PDZ/Ozyey2LI2BQPTEyJx6ixoIwUVmUrcOi8eqF5gtuGQvilSRk6ZB84tG13 vceca4mqzJjNN497tRwAOP0NsYHQIG6c+z1uUEIdOTG+5sY0iRunyUj53SAs +5O4MfnT/8F0r38WQMCQqsGhwdgGDg3zOwgNm5EddvedOBvmP3Z2GHNe+txl 2TisnIA1r2Hdm4ObSG84s6Ou7NhedmwfO/Yj+5nT4yg76cbcvNhpPzw/30to sATEsaAUFpLDIq6z+NssrR6TOvJ6WeHQp5KhdzD0Coaew52BoZ66oY7Sobb8 uwCVHZkcHUnUyVzTJiWZk+TQa9sTqcZN/1lytEjcwF+QuZHYok9r0ee0JuWR 5KhsS+3szGzrzW/rK6gAyBko14+2weOBRXeroKnRuKjbOJW4IbXe9aOEpUBK oOKWO+dGJBkp3Ki/DFJVbDw90Yh9wGgIkRYdHYoUpSLNTEiyENLNhFwzSgaz EHLMrYvNzYtBuDFDcdveptNq2ajN1pdz1r9YSYkxnBsHujhRH0MbNuJoE3w4 N8pQbMhVbF9xQ7rPfpMbvhI3pDTvYPl5EC5ksxDj2RqldcIsIXSJED4De4Em EDcSzfD41dTgIslUyFQubsU0tnVtllbFmwA8FNVgWr1vST383LUycdjh+qBT ZYc3pqP79qEj6DJITiEREf5Gk+SHDA3JmOLcmCFNcI7mok5J3DBBswWjxoJp mMlcrQkKkhhHK73X5mLT083KSwMLzve6bK3ymZGjF1KD1hbtO1W3mkqPsVeI pDTOG6AxDXvynJv+G9wQC34pquL+FTemEjeowTsXG15/HDc+fPj2669f/2rF fstE+WMBInb/EwMoEjRUvZtn3t1qMwIiNOY9dl74FBzGYOlzWDa+c+VL1zWv 9q5/w4/98HZ22IUd3sWO7GZHXNlRKqU8RnUrJwHc6IvtBXCeqt78dCzgCgu6 xiJvMG0F01ezlGaW0c1y7rLCe1KfH+jtHeisHGor5Nzo52u9g+pTcDJsciwK DIkbXHJo5NxR/nOuMTg3NC06TTPf4+Mx3UsHk7hRCFDYkc7fp70zc7Q3v2/g el/v1WqAvNGWPU+HFfdbYLjDuKYfMkch9qXs3PCn5KVA2UgJoS4WatmEV5tK qeaxxA3aKQkBfR2KZMop5cuQcyMHh7thNVkmjlzBcvsSlaLKwrprhuOo9aaX cwFWzRvk1/kQXYDvm55JZyT4NyM3vElseMrQuPC7RorEDaNJ3CAB8CU3+D4r RjBVWwuhszEHI8ZE0hsJZhgVjTHD6IYeMQiAU9hmZNgIWdgZwLR6r2nFCrsK 2Nc4O6p3QVLLhqzbpwqvxwt+NcKleknY+Ml8CJA//UtuKJAbAqkR+gWuMfwB sRMqRo2p1jVIzFWzFKLX2CXBjuumHi3K4P6lp9r3fnczUEjXCclejnk7fqqc Q8NZ9js7BwvnSsSCnc/QkEr/fosbvzZSJnMDl6bEjT8kCFtXx6ZM+frFhw/Z wYM4xuzkyS8XLXy7MsVwSP9igABVoIAYdSVofK/s3jxjaKv1PZg16jQbG9bB gqewaMzFYcxl6TOXZS84N3avebVvPXaxO7CDHQQQd/61P7z74xHXj0d//HTs 6KfjpzA+6+b56fT5T2e8mWcwOyfSgybCh1ONRmw107Vi+Rtg0x5WOcyaQN5a UCN0AzR1ZpJ5gtzQtOpFdMS36rnBIkoONUEjlv5I26Lju4EbKS369C+4kdbe xblxdWTg+sO+a/z3g0abVz29azI2bPxwwLh/FCrGIOW17NwIIG4EydwIpZkg 0XJek9pU8ohS41/c42RuxJkqEmkNJirRS5BlJlyh0pUrKiETsKlgkcq00nxm l+Xi0ZkA8xxGV1t14qo893Db3merfnwPvp/OZLOku5+Oc7Um+KQKF/pp8IHM jQu/wQ1pYU7ihmHlBk0qFQlEhlhH8kVqhaUiXE0ZuKEzQyMlGluFAyiUVxSr u5RLy1QYLcK6YTC9tUBRamlWDNur5ng3zAsuXxZ1bb8uIyxdl1mSzu3BXPwg X/lgguRgyld6w5uKR4gbOFoiWOSGMYqNSxT4DpIy5PGiRW2amww7SxRnmlSB fSuPNB52LAoWUtVC4s/zM9b/eMOKX0AzZxdnZ1+Exjn4bKR42ssuDsrDd/7L JG7IYsPtKyNF5MY0Qgdx4ywTPL/SG/9CI+W///evX/npJ1ZcjE8OHWJVVZPW LUgujt/f/rMA+Zvb3K+gAbDZcmCr9TA22bB/AHMfuQC4iNDg+xKZG3TM+8R9 +8f9Oz7uc/pw4If3B13eH9r14bDrxyMHP2IPh5Mff3b7eOI0O+XB3H3YmTDm pWXnE5lvKgvIYEF5jBvy2Lihk+n7WPodljfIzZYPZX2j1ZRT2oVNeq90taZi OxvODexIrBczN7StCVx1GNpxcKXB0QEtOkxHb0nAR/6bIjdaE3PakgrbU7B/ aUd6Z1fWSO/VZwPFMFBScrecL0x4OggTL4zHHhg/egZdr43DGibdmgNB6q6P s8lMERqRsvcvVjZS1AppF7mhofislvp56pVCmhIlh9j5PJ2jAwtYuORQVprT rDccvz53AK+mZdPORX3rNzxYvHccvCdWJb7ecevt4dYP5wQfteCdL5zj2qNf hgb5AL3hG9AQXZE+EjeklhRiJ72LX3BjRjhfoZboWOCrVW0ixAuS5RUDQpSS jC+FZaZifQ+dUYKDkMVvDasUJWaKa+aKq7C2ZO7h0tm/5M31SnUKjPNO0IQV 5oc3DWBTNfz0C3QAwTI3voAGnQLldkrc4NDwF1CohBpLSiPQRNRIeD0jTRal wJ4bCvfGGRd71++p/nleXpCQFCQk7J2V7OhSyC+snbPzVgBPmRuTofG3uOH+ 2UiZZKdM4obHH8qNv/7161dmz2Z9ffgkMBD3ydvfpsak7R8EyO/Lj/mUqgEE jfXUOHSzxZ2t6Asd4dBwngyNxbTzf1Jd2+612AFv95b3rlve79nybs/Wd3u3 vd234+0Bp3eHnN8fdvlwZN8H5MZPH44d+3T8BDtxip06y9wvMg+OjkjmpWbe 8cwvhQUBhJXhBdDQoLeUOyxjkOX3vym586Kyta6e0tHJTknjz0takzg3tMQN TWuCjlsoHBrtOBNBI6FDB60JIjrQhdqamNKayLmR25bMuVEKUNOVAd1ZXG9M cG7cLdcM3+LfN+XTAXj5zJgmsaJ5/lPdpGqsQDnn4ZICk75iBLG2VOQGqQ7q vxdD3NDK3CDtgelhIjdSzKTmYOlYwEI2C+7WHeB4FxxHF87qXMONdLPqrfPa V64dAtdH9heeLNOPbSp9tjdrwqPoZUTzUI5wvohfAeFCBUFD5IbR5/Ryn29x w1/utxlg/LlUJFDihhLv7Cq8v4vc0ArSlIdozLyidgEKmxzBngukWDMhYRnA FkWJUlFgpsgFRZaNQ5795ix7l0TbY9r1fpqTcbGn8m+41z08A+AhePsiGfzF 9FRyiv6aG95GklgKAcGX+pcGG4kpalIXL1EdhVoIESaOabD/psKt3s67c/OO 8tNWGYGC3kuI32ERz008lbOzleC8AXvyiNwQoeEp0oMez/0WN6b8bW54/aFB WOLG+FevPH6MT9Rqtg87fo0ZfvQPccOw/Q/bLwvkwdDrDNDgR2J1F2xGnOzu w5xHLvOfICUcxnYuebaTcLFzydjOZc9dVo7v/I648f0b141v9vB90+u9m1/v 2/pm/7a3B3e8O+T0/gj/8d4Ph3/8ePgAO3qYHTvGTpxgpzyZuzfzuMjOBDOv y+w8t1moiXF4GYuqYlF1jC//RIB0gLy+8eKeJ+VNt7nSaGtN7xeXdCsW0Wta EsTWPQbJoeH2C1koOuIG/x09vUl6G4Zuc/nenlrYnnoDoLYrE7qzoffqE+RG mec9TK9SjA2YTIwZv6XYUPKA8aomY8nuxu8wyH0CaSxINDWyEBuNaugxRiE1 DI+d5O4QPR5cciSYCilUaK+n3LA0LjwAhUeOSnULZreaLx2wWTSwyKppHcA2 oXy9feOSlb2we8ju/LCDbmR90PDOwKduQW9CE0cTr7fyT1ULF/TChXQqzZC5 4fP3cWNyqUiAvAcJn7kRR9zgIkpshHgZ51PPzsN5kejrSOBHaK24bqrIUSky QEi1tU2zc9DZbNFaHYlb6h3rrNbuzK3hKtRVe+84trm4kCkX9ZC7w/craOAu Jl1QZasgNfwJNp7c+k/Kjb8MK9OFfaWKX2rnnW52Wn/dzTQ5QND9LGjWCzEz nZ1VAu5UtobODUC3hue0z9wQx9tNcm5I/g33b3JDhMYkbpz/I7kx8Ne/fj0k ZcMG1tvL/9/1woX/++LF/4exbsOPRBfHfwoe/yMOkGXyjFdxx1Uz8+52m3sc Gs5zHoIIDdp38X3Js11LxnYhN565rMJb8851r3atm+D77vUTrhte7v1+Yt+m V/s3vzm49e2h7e/Qxef84eCujwddPx3+8dPRg5+O//Tp5HHmdoq5nWVu59lp f+YJ4B3JIIEFp7KwHBZWxCIqWGw903dgW+Pc3hdFnaNl7QN8bTe14FgTbNfb gtaHaKpwgaElyaElvwemhBE3ksiWSW9PQbdIe0pxe0pFR1pl15Wazit9AA97 cqAvHwaK0++WwUiVzSN8V4FzY4KugOeI5BSVlpghw/yS2KWTStswkY3q2mIV 0hRUkRtxMjfUkrsDuZGoxJgm5Z9zbuAvpOLIFYtys3lNqiV9s+Z1LjGvXou9 a26stLk917ENdnXbevXM9exZ9WOf0/7R4weeB5x67BZ150RtxxnhwnnhQoBw IfLb3PCVnaIGgMheDjGdQ1qnn7lBS5VzI4ZzQyF2XZbExmWMNavUND5JPUPQ z+MvKvJNFVdUmA2rn6XQ2S6It9oYZ3kgdo6XekVU2qpMTC3eeb776MGuQMEn i/I6CvAjvuKGBA3yVXJF52NCtXhGYqQYR074T1JHl4yVl+G7KyZ7SoQTNQ7H al2X558SEvwF7T5B7ShEcbFhJjgrBWdHPLVz/0GJtX8XN8i5IUHjS25MF6Eh ODOJG55/GDeW//Wvn4ekfPyIz8LCWEHBC26v7NvXXFv7xW/L/o3/FDjk7R8B iJgRagAIUsu0davlwHbre06zRp1nP4R5j0Vo7Fr8bNdSwz7Gd+LGOHJj9fiu NS/4vnvNC9fvxvesR3Ts3/T64JY33BA+sO0N7Hi33/n9/l3vD+x5f2j/+yOH Phw//PHE8Y8nf/l48iw7BcDR4XXpE4Qz/1gWqGeBV1hQPgu/wdTVTNfG+I05 t/9VQfeDwtbeMm5iNGGWV3eLvrcloQslR5KaNAYqEEQHcQPFRkJKqz4JXaaY i459uzpSoTO9rSensycb00L6Cx8MluQPlsDwrfX3axc/6oGxhyaihSI+citb il3KTlHiBl9HJriHidyQPRuRtLK46sB4imi5EDfUNHcggRLRcXYqmTCi2EhW KbLA5obZ3HqVQ7edXdNi05v8drlBKF4yo2yWQz24NFkfa7b/rsHRsX3rsoEj qx65bhlff/bdFm4k1jfsBXATLmgF70pJ5//93Lg4iRtyL1+JG1xHaYgbBrFB skpqaBxjL+ixwaAiy1SRrMLyPa2NEG81J85yncZ8r3rG2Ri78KuL0/vX83vF 3obD6+qDBd88Ss6Pwo/4ttgg22EyNy595tukxh3GlpGwMcPEtVj58+3l+27t XZB1Soj3EjQ7hOg5HBp4VZ1NBeeFxI2/YLaGARqfufGFkfK5V7n7N7kx7Qtu nENT5Y/hRl3df/y3/1Z/8yYTh6SYmrIHD9BI2b+/qqTEODj4f6WuX5+3/6TU +I3tbwFErD3ZMKnDmL1psz3AduthERou87BXuQiN3UtpdxT3sZ18X4ZeDljx bOfKZ7tWPdu1+vmuNc9dv3shcgMlx5bX+/kvbH61b9vrvTve7HV5s2/3mwP7 3h7e/+7oj++PH35/7Nj7Y6cwUnDK+xP4fzh3kfmEMd8Y5pvAfNJZYB4LK2Ex tz7paj+mNX/I6HyXLi7/5mSp7U9zQndLwkArZm5ouKmCkgPDsuQLRWhwkqS0 Jaa3J+NfdV1Bl2pnOvRkw518rjTeAIw+7ih80HDmYfPcJ50w/lAQu9nI6DAm Nz5NMCSxQf4NcZYQNdwLE7MUgNoGyn3CiRvSPFYRGvwVrkZ04lxI+lESUSUJ y+1NM82sr5vNqVYt6rC3rl4oXF+JbSiuzVMV2S68Bc5VMx1uWQkVi6ybNi68 s3H1w4UrHs4BWBY4viljwrV8fG/9My424qkBY+3X3PA1cAOkqIq/1J5C4oah Abhh7Ei4sRBlIvVNjSRuiNBAZUWo5KdJ3BBSTTErTMO5MVPQWthpVGtilbtj lG7Rs0JuOPg1clvGaVX5UZuyUEVF5tpm+HngjPqJ8fVXRhUPf4Mb/oB5Mvxo Rb1xUe4XKllVeHg2UbDhismuQstjVWt+KHW1TTkpxP0sqDegWyNMKXNjNnHD nvQGtQeRofEtbkyRZqP8JjemfcGNc7/nFGX/TL3xRTfRyTkbb94wahj4vzHW Nun3/7nkkLZvAcSR0kE3ycTYzgmmbHbi/7mth+1tR+3tH9jTitjp8IzbJruX GIiB0JC44fgUTZDlY84rx3auGtu1+pnIDdf143u/f7lv08TezRP8nggbX+7d /HLPtok9ThN7d77a5/r64J43h13fHvnx7eHD2Jj0sNvHn73ewbn3Z7yYlx/z DGGe0cxTx85zdFz9GFbA1DeZvpbFU7uepK530PM6j2a6VTYnNDTr2loSutuT +iXJkYDcaMNeXimUG5aG3EjK7bqCvkRCRz/tTwBeUcePeJrKuurFPVz+L5lJ P4NUBkdfTTJSgownOTfEWUJkpITJyaJopFCT8ChacXEyN2ImeUrjFGJK2Gdu JIKQoDJLN7MqVNpXquY3zbK4uUC4tgIrNa7aKfJgwfWZNsUzhOuWpuVzbRsX O/RZrblvvXQEy0JP3d8S/2h3xv3thcNQMRjQ2JeCcU+fQsHnhgyN3+CGPxkL v+ZGwGRuCNi56zLxMIxmKITSRIMIOnGRGxyDsSo8R62FEKeyjlWuUCudo5Un 46wDaxYArHYs2G5ZcFy4HiHchGW1xw517Qof3Zj5yCi/3+h6sxxBJmhItf/e cpuyAKPP2emTuRFobB8N69JMXK7Z/nRr48Zrrma6n4XYfc7OjsJlg9hQCM42 Eje8xAGOWNfz+9ygdK8vMr6+zY3zYsTTsIL+pdz4m91EV3zZLRD+R1wcf3OT AbKM/C0GmcHP1tms2cWyz8V2xGXWqIv9AwyXLHhi7zDG6WG/hJTGsue7lz2j fWzXMi42nu505IsPnJY/dV7x1IXQsXPNM9fvnruuf7H3+/G9G1+6Arh+/wI2 vNj9/Yvdm1/s3j6++4eXe3ZN7N/56qDL64O7Xx/88e0BgIMn38GZVz+7vzt1 6tNpD+buy9wuMffoTx769z6p74OSWXgO4ze/qFsskpLS43s+pfa8zqlrKwao aNZVtSTUtyY2A3S26ruRG5LkSKGkjsy2JAM3bvRkQXfG3Z6csv6CiaHSCb7W HjSefP5oyeMHeNnfvhJeMOhjxukMNtz60rkRNIkbobSCJnMjRkwc/ZIbMV9y Q02qI05MoKJ6N72ZoDNTppjNzFfalavsb9soC+dzLSHkzheyrXAWQM4MId9C KDI3K7Oxa7Bc0jNz9Yi1wyDnxqqD/VsDB3ZH9W3Ud0Fmu3t5e3jxSIzgoxV8 UgTfjK+4Mdk7SpXmRpLxZejXJ1orgWSnRBI3xGI9ERohmHaFZ33ZBIVWoiCX ugO21onDsc6WaoVjjHLH/0/dm0Y1lfX7n/tFv+zVa/1fd7+pu9bt7vXcKt1k YJ7CPARISMIQ5sEwUwxSCFiolKjFoCAKCMggIKCAqKAgKqKiTIKAKCDghAzK jIoisnvvfU5CUKx6nnvr9n2es34rK54c5JyQ88n399u/oYCzp1o34S6+CjGv 1gs2JMCbWbAFWLV5hfaLM5+blz0zPz/gf/F+8tXmyub6dpiq4gaFRsqPLDeY 1n8MN47+xHIjA1gU7XCu3qFoNI1pc3O8HAxL4mChv0JhRsUGAw1IXQ8B8VMY biT/KTdop6+vM0VpX46vuPE7yw0lHP5bufFtN9Gv8ke9v/qBvyTE8YcbJpUr rYLxp5V0AQgFIhSkM050hclMMA1+BljMBVkvAOye4J12iwKHJWqEG0EilhtE bDjM+Yvm/MVzCsf5AMl8oGwhyHkx2JWCAuMCH+G6GOSyEOi6EOi+GOi9FOi3 HKxYCfV/F+73LnzXe6w9wgGI2PMB7H0fG/8pLvZLfAKK/w3Fpa8n5Kwllnw8 WLKWVriRVU5WaY9fQZktCNxH+X0bpU8QQQcATX3lN/rLWwfOYh+/fbCy+9HZ 3kdnBwZJI6+qwco6Op6J+ClDtc2j9XewmMfoGK0fHm+qe3lrZOJOEb7Y+dce A/Pg/Qrn00e4iMAI2pHwmAY3Cpgox0420/KEMriRs5Pt0pmjjGycVg4lYYKi TNtAhhjsSFYVN2jooJLWu5H6WR6nkqvTwDVq5Rrc1oMNZkRsXDKCddoku+Oi FrzCh9f4/Nt8QY+W3YiOZELPYpR8myse+/w6GHCkH2T1uFY+jLz16EDt1OG6 sXSYehKmYXRUq3FDqToYbqQpS0WOKb/N1blBxqzQy8yjYoO0QFdy4yTtTari ximGGzzifBVp8As5NgUcr3xOzBVteT32pESwxhs2JMKb0fAGML5ptavbIGVY P2dAUHjfo6w58dyF4kzSr76e6a5Dzud3yo00yg22z/BPFBrK5JNjwKJwh+zc Dv+rVpG33axrgmBRnELhCnN1KYoZaEDaavgHwo1kJTdUfsrB73Aj6W+aKZtO CkI/6G9yg0BDnRvMRr98BV9p+L+0MuXbbqJMl1EF5dWlbydK/3dJDXaTKDUG xkUQrdwPphZCK6OxhVjMYQtmoEHHHITYL4WIGFsUEFsQiOYDHYjYUNjP+jvM +otmFeK5AMlcoGyecmMpyHUxEOMCH+E8H+A8F+A0FyCfD/BYCPBZCPJdDPZZ CvFeDvFZIb8x/H3o7mUQ8y4q+mNM5Pru6I2YXz/HHP4Um7m6J/fDvuxPyVlf UgBIKUIplQhc+pJ2Y/34/fW8jo3SHnR+ENU8RZewbBg42zRY2Yw9kcHKO48q 7j6quD9Y2QsA4caT85eenG8eqrn+lHJjtGFstAE8a7r+suX+5P3sqS5ffJJT K/ymZc7ndTj+HhRM7ZAPU27kKaOjVGzQpC9I2tHksNBQTomlTkquGjeKldw4 rWYUHXRkCYd0EcRGByholHO1LnINb3K1m3XhJeybW8BaHVijRbhxgQ8vkzo4 rVa+6QNNu2Ftx5dYhFtrdspcH3gFdfrsvg/SOm3LevwuDoYWT0cdXUssf5QJ 08pgWglML4Fp+f8YN5jGPqfIZZIDGGicoEqDNgojaqSAiq5C2hUwnwngYKcG apzmWORz3PM4gY2aOuUC0iijxg82xGFowGZjnUZNzzbd3wb0U9r1Mq475dTF RNbnBnWV0Y5hRfD3QsC0y1BxA4uiFHqqx1StePDJA7OCHZIq6NtgE3Dd1bgi UKGIgKfsYTZXjRs7v+bGIXVuALVcUDU/JelvXCxODmxyQ3c7bmx1UpBKb6iC AP8NFW3q3USZXI4NhN5se6iKG/8N/JCpESOYPg/FpjceZv4G+4nYwhSKUOuF EJuFENtFoIRGqIiaeClEvBgkpnpDNC9wmBMQbrz1d3jrJ3rrL55VSOYCZJgS C9TmCSvwtchm/WVvibm89Xeb9feaU3jOB3osBLkvBnmQyElQ8DKIWAgOXw4L XY0IWYsIW4uM/Rh14ENUykp0+vu4lI/7jqzvB+DAiS8HitZB1edD9WupTZ+P N3/Ja0FFbai0a6Oib73qyVo1pgT+/npcdWWwommw4hYtcyOtOYaqsd0Yqml7 epmknj5rGh7D3LjW/7KlZPJe+kw3eDtGPOKOVY36D+D+p50H3yqDorlA1bBi kxsnN8UG5QZNAMtnuMEGRVluqIhR8BU3KDTO0jVZWnGvWcsxaOZwL2ONgd9S Y3heC1Zrwlo6pfoiH0sO7Vt8s26+8Im26JkhADb8NpnNHU/nW24/3wWH7wuK uiSlj10zZwL2r8anfTxauZZ390suANkwLY9m8qtFStNVuaPKPhhf6Q11bpyk E10ZXDDcyGY0GDNJgeEGgQa9Ro5pnoZLiYZlJXZbBEQ11Shgg5xwo4nHuajl 3KIb267/63Xd3+rEwbURAGTSsVyZu9aOAoCFUSrbcYh28mH7DKeriY20nzTS gUn+DnGFpk+9tWeDi0IRAPP9YI4Z4XCWBvnTUGhQP+WHLcENtcWUb7jBNACk bTcwNw6w3CATghQ/6rF9Av+EG2p37l9+w/5DGxvQ/6v/WxcKikCGFfQ5WeLR H8d/xEjsLNgsRNguhAsXwyg9sA4JsVsiIsSBhQa2YMINAo0g0RxwIOuzAvs3 Aoc3AtEbP/FbhWQ2QDancJpXyOb8ZbOkyEL6xleCbYaYbMbX9Y2v+1s/t1mF fI41Urm4AILnAgKXghXvgxUfQgI+hEa8C41fDju4GJ60Er1vlRTH7f8cl7oG Tn5KLP64r2r1wPm1lJovmXUo68pGTvN6Xuta0f1PJQ9WywfeV9KwRu1g5S0S FK0cwQLjSfWtoZqW4VrsofSPN2ElMTTeOPGyFby6c2myPflNL5gd08anOr6u cW4NXNnYGb0IlKNgKS6Oq3Njp5IbgMkUZVdSTlFukMUUmuXFdA48rczoKIAM QMjBTIbYWcCuyZK2xlz+eY5eIwfWaMLzRqTq8xwfVpNuP2R+E5Ucui188y6+ 7SPsquADbLm3ZLrXPBxvOIW0gt/aDPPbBSeeOCa98ftlPnbPfOqJxYy6FXIz DswdgqmFNF7ai1WHMuihxo2jP32tN04wcyEpN+gYaEIMtlSEPme4QSZr8yg3 6Lj5fNJVwOiUhuw8vkx8+YaUG16wwRBeB/AKD9ZqiRp1g67rR9TpBlbZ4i8L zTb83Z8kfrPPZykx9G1I6lTUuVeA7Xx4dIdyjsOP5AzZWY0/aaQBwamfRGf1 vS5Zyy5gbijgKTk8qUfe1SzaNV0hUI5S2i64cfArbgBlY42/6WRQbiRt4QZC P+pSbuhuz41/NmggdcXxF0U5VMHPEITCqMcUQfdEG4xHAxBtu4Afo+yXIu2X IhyWI0TLYfbLwG4pFGsPxhyXGAt2VOMGAAH2b/ztZ/ywOcwIxG8EkrcC6ayv 9C0xjAt8hOO0L7EpH2ySKR/naR+XGR/nN6wB4Ov21tf3LfCb9fNZVPgsBfgu B/gtBwYvBe5eCIpbCI5dDvvlPcFa3GrUgVWQ9iE2+/2egg8JhZ+SitcPlX5J qVxPr/2cUf8p69pqzq0P+b1rhbR6tJaOgGwfrMQCo+vJ+bbhWsyNS08vjY43 Pgfg5fPrz17deTX1AMxgaDy2eDOq9XaWLHC0IJj2Be5appQ4o+QGM+/shBo3 stW5AVknheFGEeVGIeUGQwwCDchIDrKTSY0opz3BMDRKyAwFXiVH5zKH4KLS kCZ10BT0ah7ZQyWH/k2eeQffpl/TZpB8lXOapZpXPeybRYoWsO+2Ts49o0ND Drvf+IS+jt716tCBycOnZ5IBSGx6vuf2UEpnXxGBRmorTLurarFFzoT5Ns9Q 4waTqMnMoT5JuXGcRjyyd7DD5TE9Tqu4AUiso3AnO+b+lIZ+rga/gAmo6sMy B1gjgA0asJnW4JzXtr6k635Rz69cBwAzeNmXfy8Gf+QkbyLdZ3w9X0oTx8Hp EdA0CG530/eUNAv9kbbm+GlzXGMqMMr5yb5M1+OilULhBPMUMNseZnHI2X7L jWRA571+zQ3lWgnDDQ7DDeP8v5H2gN9wQ5sOZtIh/y1+25FO9r8KN/6a/416 JRgXUdQiMS7ozt2GY/hvF2O/iB93i5ejxStRjiuRju8ixCtAtBLusByGxYZo mSgNSo8QhSLYcSFITKARKJpV48a0r8O0rxiLCoILgeOMwHFaIJ72xkeIJr2J vSYmfu0tnfSWTmHzwiab8gLA22UaeE75uL/1cZ/19Zjz9Zz385r385/3D3+r CJ8PCFsMDF8i0dqod6F73oHfViLSlqOOvt+d8TEu69Pe7M/78j8fKPmUXPHx SM2H9KaPGQBkDaCCh+/Bgzf1XeMNj6uaALjx5HzTcG3DyIWLTy/VjF+denET n/rUxN3JmYeZsyNeC2MWCxNgckZnhuSWK1HQtJOUguZAZc4G5cYJFTcgHSLA JG/QsEau2mJKsYobkLVCppcgJOUexUpulLLQwMdzyjm8alozS24rLjzHJdyg lSxYcmjU8Q2u88zu860falo+xB9gW3hFwmlwtWkU+l4H8be0fr9vEDssDHru 4TMa6fY0MXw0AYD4nJGoov7Qyq6Yujupl9swN8pgWiUNmapzY8d23NhBwzhs TzA1bjBzG5mUbw3KDRLuYCbAwlwN7RzI5IYRyVRmAWsgy41LfFilbXJe16Fc lzQeqTaC9e78+/74W0P6Vu78HIiHQcQgONbne7Yr9sLt+KtNR+kCEFByg0lp I0tCBtk/Cc/oKhSWJqUymOsPT5gRsUGavu6kLcp3bOEGE9z4I278xHDDIJeZ Y6WCxg+qpUasNLRZvSGQHCdri8rbags3/gmggdS58V8+H8YZiUEoVmkx1IDx GNH/ouVYjA7JSoz03W7pu2jZ+2jp+yjJO4DpgdEBQLh4OcxxOVSyhC1Eshis UAQpFIHYixGRMjeF/Yy//bSf/RThhmgGo8NHPO0jmiKswO+ww2uBwwQ2b2Kv sHk5TniJJzyxOVIDwEv6Gri89naexgDxdp0hJn/j6/HGb9eMv/+s/645/OkK CFzACgT8vBQctxiSuBS6/134bx8iDq1GpXyKObq258TH+LwP+0pXkwA41ILS bqOce59Bx3JJ53RZ+1jVUE0tANXDtRUjdaVPLxWPXTn/4kYLAGOv71bO9B6Y H3NfmnR5/xa8XeK+XOV2I87RKWDWDVmhfgoyoKDOvnJc0clNsUEPUDoppzRY bhQxo2OZNDBGb1APBat6LDyK6fMywIoNGkTVOMMhrflI2SyPNtoi2aREdZDR b3zuBZ5BM8+0jWfVo2XWZUqGIV4Ww0tSiyvAs0n/lxua8e06QSPWno/dnAfC RP275f1YPYb9+kBxqM376E2/vQ9ijz0BZ14cgWmpMO0oTMuAR4vYsfVHt0Lj KNsHDDDZm8d3sBUrTHCDSUQ/waTDKbmRT4cd5GowsyOZ9HvKDUi4UQ9gI5e4 WhXaemW6ZLBCBfbFdGC9jHdfhtWo40vgOKQp7DPz6wZJ7QFZtyLyr4aV1e6v KT+J/U06UP4ndhIK5Yb+iZ8UCh15jYXOaSnMlsPjuuR9zsTnRsc1qnPj4FZu EJ8FqOVmbPFTdDEkk3/Ylhv4FtJS81Po9nV517c36bt3aG7uv3jn/ic2Jrjx Xw9xAAqKvQglUItHKI4a/o/j8FeS40qc9B2hh/P7WOcPsS4fYpw/7Hb6sFv6 HkjekYiHI4FGmHQ5VIqhgW0h2HE+WEzFBqUH2eyn/OwmfTE6RFM+DpPYvO1f e9uTaW7A7pWX3UtsAmIvvLDZv/R0wPbCg9hLzA1PEf7kvPKSTHhLJjylr71k r72dJr2dp7zdsAiZ9vecIW0JfWb9/ebArvnAn+eDIheDdy+Hxq6Exr8PT1yN PPAp6vBqTPr72KL1eKzMz2/sv7ABGr6kXn2Xce1t1vWXuS3DRa0Pi0Yu5I3U 5Y1erh2/cuv59faJ230AdL95uHdhNHLlDVhdESx9AtMbnOxX3F1jwKhPqToK lQDJ2cm2B9zqpNB+3UonJY+69sXK4Ea+khunlR5KPjMCHpKc81LAQqNIWXpf QhPDyjksN84z2aT4jiOJYfpNXJPbXKtuHcE9EwCs4UUxvOgguAxcr2pFXeOH dmh6DFhKul2EnUEWHSGW7Vihefu3yAGQAiCm1xJKuxzgv2kkTIuHR9NZbhz7 hhuZyuJf2s+Hrr3SpltZO9k9TINBEiyl3GCmzWYrjeaUkktguHEZwCtc4mqV aROYlGiThqWYhw02AFgJRoDDEN+uV9uy3czpDoi5Gbj/StCRGp/MsuhT+YeS 6/LzO4qYpWQlN0jrP+sibefz5jBHArMcCIFJXxQWGqou5Sw3ktWCooQh33KD aQD4N60Myo2Df6Pc+L+V3PiJ4Qb/a26gPxAbU1OkqU5Ly3e7df13bgD9NUoj EaH91PYpDe/ZSz9ICbJ3e50+4OcJrh/i5Ktx8o975KuxLqsYIMDpAxYepK5E shwuIdwII9xYxNwIodwIEpEVhwCHmQD7aUwOP2q+9q997Ca87V4RE77EPggQ vvAUPleZQPiMMQ+7Z+7YAPCwf44NODz3wCZ64SF+4eH40kPyylP6yls64e30 2td50gcAH/m0r/sb4PkWAyTAfz4wYCE4eCkofCU48n1YzGp4/IeoFJJ0Gnti Iz57I75gA5xB+8tXD1bOHzr3OrVmNKPpxfGuxfx7j0tH66ueNdU9b74y0Yol x523fdcXR/3fzYBPq/ozn/mN7ziH5rmyaWDfCjUv4vuaZQL5TOYy84OYFUnA ZHxt4cYpNW4U/ik3aA9SFTQKlYnopVSKVNKyWYYb+C4r42nW8PSvcgW3uJad OoatAsKNCyJ4wcagDsjq+WGNfI9OvmOHqdUdqUmrr/4t/I55ACABwF6v10bw 2EL2DATNSH5dAb+vgdxPQLWRb/Nj4CtusAtJTF8OxklR54aqszHRIfjyldNm T0I2xyNnJ12O2bnJjXp8LXzSqqtAFxZrkSUkfIFX9PEJmDzlCXv5Vvd1TW5Z WF8D/g2KsGqfmFI32BJg2hnnO3QkaSqVrgcBdW5YFmralZvDk44w04y8mVu4 oRqltB03Dn+XG7w0AA/92/e4wd5OSm7QJ4JtPYK1NWRkhJ4+/S/eudts3/YG VG1Y26ht/0WtgX84Wc0OIpSE0AFsZGF0eZ/zh30uq4nyj5gbez0+Jnh8ivf4 FOf2kdDDdRW4rMZgdAAQJV0Jly6Hywg3QjE0JPMhjnNAPAsoN4ADvsWmgP0k sHsN7CbYWVHYhC+IEW48p/Zs02zHsQmE1IggGQf2z+jjOHB4RkyEvd0XgMjX F16Sl/gW8HJ67ek86eU6BdxmfN1m/D3eBnjNBfrMK/wXAxQrwYHvQ8Jp5lj8 5937vsT89iUmZQNkoL0nPu3LXkoqmD1U+/lII0q9hY52oJO9y7nPW4pftVZM 3CHl+TN9F+dHzy9O28y/A68R/8JnXtwqN3oQsKskRWrcOMU8UYqNbOYloOak KBdTipWUYNLAaHCDjXWouFFMm/kU0SnMhV9xg8Ny4xwgfQXL+bCUxz/P1Wvg Gt/kWLTrEC/+giWsdYBYq9cC8UW+TyNf3Ma3bBEYXhNrN7oB4AqAiHvTSqvN TK/byGQAOI2B4Emwb9Hqt3cOhxbkxcshTe/2Pl4/SpdBy0jWaAYFyCY3ADvO lSlzy1EGRTe7hFFBkkPaCDN9g9nc+5M7mZ2UGzthNSQprxfJMAXKDW2SXFrK JWvQpHsbV/CIa93GN72pa3gV6Ne5iM95uZbI4VUJvOFm2REaMBRzaFLVZJKE OxSKnzQzfrQo0DQrMoVZWEfpkYLZDAEtAdixDTcwMY5QbrALK9/lhsbvlBuk 1hUT4/9R81PUb0h1P+WrPexWUoJ27kS//ooKCghD/pLte70Bjx1DOjpITw9N Tm49TSXc/vEN/0wKtSPUDjOG3X/neeDx4aDH6gH3jwfcP+0HYJ/Xp0Tvtb1e a8BzDXh8Au4fgfwjwOjAm/N7IFvBkAGyJSBdBJIFIJkHjnPBYgKNINFMgMN0 gMOUwn7S327Cz+6Vj5DIDG/hC2+FwpMCxFP4TM3GPWzHPWxG3W1G3WxHXbGR 9PUxgd2YQDjqYTfmbjcmtx+XO4zLRc/cxFh+PAPi5+Q0pC+B7BVwfg0wOlwm gXwKuM9g7QF85oDfAlAsBwaQrNTwsI9REZ+jdq+D2I3oX1Fs0npcGko8gQ4U oENlKLkaHWlA6ddXM1uncm715E92lMz0kPSO8VEwPAHGFk8+XeddWOfHfQQe /RoGbQBewC6DBnVSIIlLsNxQVnipc4OBhoobNHd0kxunNVi3pYCVHyw3imkk RD2bdAs3GCeFZJPCMzxeFVf3EtfoOsf0Llb7RpgYsNoOnhfwzgPhBb5jE9+8 ma/fYIQFBgCOsMEOAHNOs5HmbaDbDsweApcR3dAJQeK85a8LdjGv3Y5Oh1S8 TWxfTX/0MQWADADKYcZ1eGyYtiLfwT5mAHZIE+HGTjYomvkNN3LZvsHkACah NJtZxqXcOA9JI8QLZJgCCYfma5FO6WfoBMyr5EoNO7lmN3iGV/R0LgBupRxW ucIL+PyFsNle2OEV8sQvZZIpxA6BqV4KRTxMyeYfBWb5mnqnTGCGPXmvjglo Rd523EgGW4Ibh/5jy6ub3KD7j5BCV9cChhv/7/e4Qbc/CoeGhqLDh8mTgABU VYX+km3b3oAfPqDAQPT8+Tb3PrP9478H/8hRhNLVLA3RAQRey8DvI/D9BHw+ Ae814E1mqwHfz8B3Hfh8JvTwXEsg6CDCIxaA3S7vo51XIpyw3lgKky6GSRdC JXPBktlgR8KNQPFMoAhzY1Lh8FphP+EnxNyg0BC+8MJeCT7C9pknBQgxAo0x D9tRD+un7jZPXRnD34zCUSAcdbMZEdg+FQifCuxGXexHXR0IPdztRz0cxrDe dnd8Lpe8wOhwd57wkr30dp7wc530c5v28njj5T3r678IfEm6OwhciQj5AH7+ CKLXQOznyLj13Ykbcb9t7D2Cko+hA7koqQQdqvqSemEus34su+lB/tsBMD9c CkDV+Exdz0JDx8crdV+af5u8Tt91DqzWgBVKbhRQCJxiWcEEABnnRY0bJPGJ dToKlNzIh6z2YBZk8yHr1xQpO4OxiWE0dWqTG0qxcZaHxQYs4XIruDp1HKNr HOMWLcIN7N2fsyblLVV8q2q+WSNP9yKPfPnWCOFFa9iAhZwupxFo3uTrtmla PADyJ9rhL4x+nTWPfSP0e+q2dzwk+8XeayvpvWvki+PuoywAKuCxHniMTMeD R1l6bAY3GG4c344bzDrLcXrAyR2s5dBjVNwgbUb4BBp5mqRVKfbRyiFsJFeq f4trVM/XqTHgkWJ8CawQwxpbeNkcXjMVtYt/fuJ47LUUAOzRmCoUHjA1Aabk ctOAySm+xnETsphLkl0FVC/t2J4bh9W4oRQbaujYyo3DSHzqH+PGt3dncjKq qSFP6usJOv6SbdvegMPDSCxG/+t/od9///r2/8eZAb5nJBixmh60BgLXUgI+ H1Z8PrRrnWTd7PpyAJv/+n6/9X0EHZ+B11qC56c4AGLdVmPkH6JcViIxN5yW wmQLYdL5MOlciGQWSN6SAhbxdKB4KkCk4sZLH0KMF160UZgnvfs8qaNNDP/d qbkDIKdCGpsTfQR0D7PThbqNAvqcTGyhhl9yET8D0hduspfujs+8pC/8nF56 uUx4yqfcPd94+cz5eMwoAAj2mwcBS8HB70D4+8DoTyD6I/jlM0j4nLB/PenQ RkLaRvxxtA+Ag4VfUsrXMqo/ZF9eAdcW8lpni+6Nl49/qOlZr69abw6fbgXg LqeJA88x3FCTCnnqDgsVHrnKxRQmuKHiRj5gF2eZ0jC6CMvGOlTcKFTmkTLZ HV9xQ1nyRrhRzOWUcbVrOYaNGgbX8Be3Aawyh5WmNFOdZ3aOp1NLS0HPacMa U1hnCOupl1XP5zfzdW5rWnYBt0ea4eMGCW9MIyds5Y/cQh6FJA8nVs+nAxB3 dya0oWN/zZ2TeYO36N/iFjxK5mmyTko2DXtmf58bTCu/4zSv4+QO9lHFDUy/ Og14jnIjD3MD04NLrp1wg/QT07nC1a3m88qNiAArtYfltrDaDF4y5DfpSNsF ux9rHnuJ/TJdAKwUCh+Yuh+mFGqkAuMcHvZNCCfTBWx85hjLDTZT9FtuYDvy FTdU0PgPw0IAf/+qQP6H7+RN/RE08NbfT5wUvNXWosLCf/T+3X6jvQFJhrmy N+DmNjq68sMP6OVL9X3/aGhURYl8arnUshE6id3Ynz9nhn8GYevpoetpIV9S gr9g+CYHouTAjYMBG5vowNrDZ22v9xr2KGM9Psa4fYh2XYlyxtxYDHNaCJPN k9IV+ukKUhpZiqXmC4APrUYnLglWGkRvjHtgmSEcI4aVhs1Td+sRuULhSg1D w8l62MlmBNgMu1o9weZi/URmMyQVjjjZYe0xIrAZEtgOEWjYP5XRX+pKMeJF zYM+d3WfJuigIzMCPd8E+84pFIsgeNkv8mNA+PuQnz9E7/4I4j6BfV9A8heQ SmZQgqwNkI9SStHxc6TU5XjTp+xb7wtuDZS2rZ/P/HgJgCZy71xrg9U98CyN UhbRtE/Gv8gDDCW258ZpZYHbNtyAW7hRqEwlzYeb3ChRcqOKlryxTgoXc0Pj DEermmNwRUO3gXKjwgyeNaYZpzztc7TpRAVGjSas1oN1AF7mkealF/m8Rr52 i6Z1O/a8NMNGDeKmBSHPbKW97q6dYXseJRS+wZ+BiMtP3UuvhRXfP3z4eT0Z swCa6RJtFszMZJ2UUzTsmbWVG5mUG9nKVn7Hd2xyg1mlLdgBS3cS+l3QICdT xCdi4xSfvIF0OAtsIpX4mjUcfqkWPE25ccYSlpnCc4awTlunketyn7dnkJ80 RFZhFAoh/qTB1IMwpQSmACOSOWMM0wQ0Sf573Nga3MCPTMntNtww18sj3Aip +up2+89wA29xcejKFZSVhRYX//6b9w+253K5cHS0CCEnLC2OHdvcT5vnFMXG Om1t/LVZSv930AMfUUatBKFiWn5bSOmRB0Du7vXs6C9Z0V9A1EZG5MbRCJT2 M8KO7eFQdCgYJQdtHAz8kqRYP7BrHfiv76MxqHg69CSGzjKIwp8uuoRHcsBk c6FS4qQES2aCHKeDHKcCxJMK0YTC4ZWv3Qsf4XMvJpRhS+anE8dEBQ1b7J6M yK2H5ZZPXC0fO1k+kSkUMhoDwbhwsXzsYjnoZDkotX4isaXosB1ysX5MAiA2 TwTCYYHDU6l43EU0Jrcb8cAmGnV3HHdxeimjMMEM8XF+yeCLiJzAJc+fV32D ljHWIsLe74la3bPnc2TiesihL5GYh0c29h7bADkboBiBSgTqEGhEx298yLvW URKyWAVAnXbPDdh4BdaS5h4A9MLix8w9zi6IbC68qiVvsNygy6kFTCWpcvgj E8RQKhZWtDDpo5vZHd9wowKonBTCjWKO5jkN/XoNrTo++Z4tN4FleiQDRDVK khnOUk2DCZe55Fa9wOc18LWva9q0Aa9efshTvT2Tgl3Ddvad7pa3QoMfJmS9 xn/roKIux+JGjxOde+NfVSo+gIM95fiDQaYtZB6BJw4TJyV35+ZiSsZWbpyg wuMrbmSpuLFjkxun+QQauTwyX/405cY1wg1eKYf4LyQXzgSWCOAZA1ipBWs5 Bo0cj3vcvYMkmqpQ6ECFiIY4jtAGHcCAzOc1otwAbL7rUdUK7He4cZjRG19x 40fGSdHORjAF/VyjfqNtm6f959Bgtj9Y+/jHN1FOTmlTE35iHx5+kUEE7Rko Qoh0EUxOtt9aGMvojb/HW8FHYJ/qPEJVCFVQepQyAAGgMH4jP24jdw+Z03ry F3Q8BmXsRum0huhIOCLowMKDWhL9Xfv818nKrM/aHq/VWI/3u91WolyXIlwW w50XwpzmQp1mgewtlhzB0pkgyVSg42SA+HWAaMLf4aWv3XNv4TMvIdUYRGxQ XAip2T51Y6BhNYSh4WIx6GQxiP1WqdUTYP3ECaODMkRq8UhiNSixeSK1HZJZ Y5I8wm6LzGpQavsE2I8IRKMC/Gj7xN3msZtwyEX0VCZ9JnGZcHJ5hYWHt+OY v+y5r+sr4DXjRl0bLEIU3m8w63bTpIWQuM+K3zYwScL3ftlz8EtSGko7icBp dLAc7bvA0gPcRiVdqEajoxlerYa1dQA0kjlHxd1UHgyRiWkFysDmqa3cwNBg KtoKKQeYJNICZlGG8Uf+Pm6UKf0UplSWig2m0yC/UkPvkgbvPI1jlJnAUj6d 285lO6WfpYVy5zmEG5coN2r53Et87SZN4W3g8YAfPKz7y4TA65HQ8q6H5pUQ 76649Bf4e8E77Zrt6St2h3siw6eKfBZA6ETqkdZDpAn58SR4MhHm7iWEPLkZ FFVyQ5lKquoSpuLGcSU3zuwgqqmadhrJx9Dg0zJA+lZU0Dz2Cg2NUxyYp0O5 YQhL9Mkq7VkNWK0huMrxuceNf8hXKLSgQh8qpCTtJDWdVtwDLonACOjcecDU 16jExhZuHFZyI5k+2Z4b2AkC/OOEG4HnvuLGV9vfC42/evu32dmeiAjU0hKe lcV6KRwOSkz8t4CAno4O1N4eThM7N8/u7ztDfEQ9BU7dVnrgL47S/ah4Hypk hpLQ0eEn6dJbBgDp0URy4LfycNjGoZCN5OAvSUFfQMD6PsV6IuaG79oe79U9 nu93u69EyZciXRYiXObDnOfCMDecGG5MB0unAiWTgY6vA8SvMDf8CDfGvZj4 J+HGKMsNCg03m2G5NYbGEwIN80cYEZQbj4HVY5nlI5l5v9SsT6JQYBPjR5vH UqtHMot+LCeklgOO1oNAOCS2H5EKnzhZPxJY9gtsBgX2w46OY47OLzA9MCU8 7YZ8RU89nZ4D90knvzknxYKH14yf66tgz+lI/7nQkBX8efKmnlQQFVH4qxak oINZKOE0iq5G8WfRwUqUfpGMuq6+h8hMuEeE2dWw9AosuUXDEd0APIYFGB0j rA9ySs1PwdBg2gMyrQI3ucHZnhuqf27LDbZUlmaTFnEZxcI7q6Fbp6FxlktS Ls8Y0uI4LjNNko6SxD/Fgec4sJYqkItkRAunlq97Bdjf4rt18QOfaEc8M3Lt tRO0uMPLQfL7WE+G/d7tcrDeLKvRNL4vxOcNcJ/O9B+P3v1wf2o9/gzEwewY eGoPzI2lFTpbuZHBTpjd7ErKcEM1djZ/ByzZASsAO0wBi40cPrsUlbeTcoP2 G8zB3NCl3NCGxZrkTSgj86wtrnJ2tXFC7zHcMKZzDWJgahLlxg8EGqkcmKas r/kDbjDBjUN0LtWRH7bjhhM5xWNo90XkXfHHt9v/FDfYboEfPybSBj5kw3pm Y+P/WFra7CKodvzfww38cjNCTbQd0BZ60AkC5bS5QXEyAr+h/P0oNxFl/4qy AMjcg47+ggg6IhBRHWEbyaEbIPjLgaAv+wFI3LW+1+9TnPdqrOf7GPeVaLel SNeFcJf5cJe5MGfipIQ4zYTIpoNYbkxQbrzwtXuGueHJeCWEG089qLnZstBw sXpCnBFMDPMBYgBILAeBJf2nWZ/U9KHYrE9sMSC2eoTRIWUMAEfzPrwH2D4W CZ9IrAdllv1OZr0yqwGJ8IlA/FQgeyYRj+I/vZv1gKfdEzfJGJC/kvi8webm NuEjHQ9yfh7mOakInPOOWiGB1l9WFSHLEWEr8TFkoTkBe2F5KLAKhReg+Bx0 5AzKwVq1iRAj+z7KeIhAPwIk/k+WPzoBGIKnO0kPz/w+mPcYnhph9UaekhvK 7j3UowFsi86t3GCDJEqGfJcb5Ty2ekWZ48Er09CpZcppdfBdRn5FMZ1OS1LI NKjkoNyood/vF0iqFec8X+8ysLvBl3fwAwY1g4cNJR1CvSY3eDFIehvTQPFL s/jAZcND143CBgPdJoDz8z1uw5EhXXEJN2KPVUTBnHCYFwZzSC96VXBjCzcy /pgbgG0niNHHiI1sDsn0OLUTVjIZdLSiNk+fcKOIx9bVlmrAKg2bKxpBdzkK BV29VZhChSf2nWFKFOUGTfEiPQGU3GCdFGZ0I5ssSpdIlNw4TDsQbuUGJcwO tvN5Gjp6C7mU/cHt9j8FDfT9boF/0EWQDXF851Tx3jsI3ULohjo9aA+Kmgx0 /iiqTEflqQj8jooPo8KDKD8JkZ4Mv6LjCSgDoyMGpUURdBz+eeNQ2AYI/XIg ZIMszCk+J/h/ivdZjfV6F+OxHO22GOW6EOE6F+4yu5Ubk4HS14GSCYX4JeGG PebGmCcRGKM0uPHU3XbEfQs0sIeCpQWmRL8UCwx8kMWAxIKBRq/YpFds9lCM KWE5ILbodzR/KDXtcVQoRAqFg2U/sHnkYDMotsQ/2Csz7ZFY9IlsB0UOwyJH 7LwMkSUYi4duNo+AeETi/MLRc8rR/bWL0zNPh2GFaDhA/txn17Tbz4tk+ebn RV//mVCf6djgWfDLYvShD8FUhwTQYE4SFWOYtDlYjNxCex+iI63o5H0EehCW H6RxByykWrfgPszvgXmDAAzAUwMsNwqUTgob3KDcKFZyQz0oekqZ2qHOjSKG Gxy2xJ4plcVOSiGb48E9o6FZxcRptcjyRBHNACkBTAMxdh5clZIbtVxYxdOo 5BvUAWEz3+U+b9cA3/+Rod1dIb9eDusC7W5gGngG1VknXtSMa9HzHvZxGgOO w96SRxF+96KiGsOTqkKy8gJgHr67Qk71h5NL2uQGYLM7jm3HDSZNPW8HLKbv Qzl+Z7hEbJBmgxpsC4JyFTdopPQ0n0CjiNbV4jehgmPfoKFQcBwv8cgUXYUl VPhif5MGN6jY+J2WvKX9uKU7x/e4QaIclBuHv+WGL1SYk/hGJjp0A4lKvnej EWhs13zj/5/te90Cv92v2tgQxzf/FRO06UToPkJtlB4tCF3H6ADgSh66dArV ZaOaLHQ+E1UeQyAdlaSioiOoIJmESXP2o5MYHfEoIxal70YpUehI5AZGBwjf SArdOIC5EfB5r/+nBN8Pe7zfxXouR7svRsnnMTciXGeBy1uypOI8Hew0FSyb DFJxQ/Tc1x47KaNeVGPgU6bQGGahYf3ExYrEK2SYEtQlIWLDvB8QPhBoOJr0 iLGZ9ojMHjpY9DmYP8TPHU0eiABwMO0BCoU9NZF5r8TkgcSkGz9xsB5wsHvi 4DAkIrrloYtZj8CqjzBENi5ynxA5P5eJR9xtHvnaDfo6j7n5TEhDZiUAOAW8 8fJ4GSQbi/Z9CaKmQ5IWfDI/uOWs+Sa/i4he3Ld/JT39Qz4N/uxtQeGdKLYB pVxF4Baq70SAyo9LA6iafD8WYM3QS6Kmedj68XOWG/kMNyg0Ctmc868XU/6U G6pSWUZs0BwPTjHkljHFMlp04QbQpFOaLUYKW2hZXKUGjSdwyFQ4mmtqUAts mvjObTy/Pp5nj7HFTVt4wQXWKiyb8N/RSXHBNOECP/SOlmzEUzwI7Ps9bXvD 5K0hwZeD4sv8U7K9MzrwF73vrw8C4vpCmTQJZTfj7K+nJ5xgg6IMN9ik03Kq H/K4FBpUbDCt0tiKWhU3IIEGU49fpME9i5WGhlO9hlklww0hVGCw+1Fu0EZe X3GDqbLfMieaIuJ3hhtM92Plzi3cCGKmKf3aiPZd++cUG+j73QK/3a/atnVV 8L8HEOpDqAehLoTaKTpaMToAuF6KmopRw2l0KR/V5aKabAROoIpMVHqUogOA /GSUm4Sy96GsvSgzDqX/glIJOjZA5EbyzxsHATgQ/AVzI3HXx3i/D3E+72K8 lnd7LEa7zUfIMTfeAtc3pK2fihuyiQDJK4XjCz/RMxU33ImTQqFhO+Rq88TV +rGL1SD2UDahYfYQ38KOZg8BVhdmDyk0HogED0QmDzAlMDTsMUAE3RgI9oIu e5NuYNZjZ9lnh1lBox9YgdiZdttZPrSzfWQnHLTD/5XpAyfTbol5DxAO2js+ Fbi+EOBH4aDc8qG3dZ+7ZNjJ84U4cAb/Uon3K3fZqMLuMfAYCw2b8Pt1Vp6+ 4pq64hk3Fxo4FRc6fSSRZDXsO7cWQdd28eNBCoFqAFrbUUMnKu5GRwdQYe96 DQ1fAAIN7LPk98PTXfB0G8y/tcmNIppzvi03Tm3HDabvKIlsgE2xwbYLgxqF kM17P61J80sxNzBqaNZHMe0wVqbGDWYq3Bm+fjWwusqT3eH69nJdOoyMm2xh rQuswXeLn12NvV+N/p5avtd9vqgfCB/YW3e5W7QHOl5X+NT6RhZ5HMiUR96W YR/Qt93Ls9tPmV6VTDPSD2w2Qt+OGyT/nMnTwOeWiz0UHhEbTLJ6jnLNhSSl a1Ju0Alxp3cy6bVa5VhsQOtzGrQ/OfZTRJQbThgaVG9QbpC2YCpu/LQ9N46w Ux1hyn8w3KD3jjo3vFQNh2Ov/pHYYG+8/8lK+W+7BX67X7V9L8TB6I1+hHqV 6LiLP9jnUEslai5HjWdQQxG6eBrV5iGQgypPoDKKDrK8chjlH0S5B9DJRNZb SYtBKbs3QBQ69DOZmJYUsr4vcC1R8THB/0O877tY7+UYz8Uo9/lIt9lwOXFS wlxmQlymg52ngp1eE25IVdwY87J76oWJQbixBRpOVo9klgMyC+xlUGhggUG4 0QvMiK6g0OjG5oDN5IE9poRJt4NxF3Y87Yw7sQHTB3YWvXb4UdApIns67DA6 qAmt+oQAiEy6JCZdItNuYN1vJxqyk47a2T8WWfYKzHsEFj1Oosci+TimkMhv QuQyJscKxPYRcBn2C3zhtmfa6ciC075ZedhkoPvz3d4vD8bOYE8tuvS9onHN +8Kn4JPvweGVzNwP5VVrjQCUdKCjD1HCAErq3MjrXL3YsQRI0CN/mBbIUxFC YhdtWPVRSbCVG6qgKLtu+x1ukCZglBv4x09z2NiIsvkPDbfSma2FtEFfCVTW 0lJuVJCgIltOW86DJXzdc8CygSdp5Xo/4DjeNdStt4HVMngeI9Hd5ryl93l+ yEW+YyffthNY3hOa3XET3PKxvurpWikPynPyvo5J62DbIrG842Ry392w2xtm RFGxEQyPhWzPjePKsrjcHeQMy+h5ZnPhSS6pu8+i8dWT6tzgbHKjYCfTwASL DftqqF9MB02SYa9SqHABwIoVG6mqNqTKrj6p3+fGYTJFmvxIyg/bcUOm4sbP DX/CjX+O9hp/57ZZSv99emDrAuD+JXT3AmqtQTfOoeYKdKUM1ReTdcaaPFSV gypOkMkjJemoKAXlH0a5v6Hs/ej4rygjHqXHotQYBKLR4QiWG/uD1vYFfNy7 60Oc37s9PssxXovRHvNRhBtvCDdcp0NcpoKdJ5XceOnv+NxPNO7jMOZNuDFM nZQhOQMNawINJ3VomPU6Um5gYgCsKyg0HARdGBQOmAkm3cQYOGBuGHXYGbUD ky6h2QOhoFNo1I7/KWTMtFto9dBGobBhXBjjDmDcIbTsFdoPCh2eCK377E27 pabdTmbdAmG/wHmEtMl1G7cXP5ZZ92ERAiSP3f3GJNETkt/eSqInZT7PfB1H ouRj+yJe7wYgoGDR49J7j9Mrfr8tgMC3KQnzhSdXympJU6C9j1AYbUFwlIad r3e/B53zoO3VDVhYRZ0XJiLaDgubYXHt9tzI+0NukMiGsupNlVCqLGwBTG+x 0zR7SsUNZW0L4cY5ZQZIGQ87MtqVfPN6rmMLx6tLQ3hTn1drBc9J4TlfslBV JfA4x/ds4Nm08yzuAJMWG6PrrvpNcuNLLqJSR4cGB5MGzGRrzjUbXou9ZptE u9NP0OduNwbk0zLFisuvq64nP+2oXd9xb+NrbrDDFPBJlu4k50+gwYFZUFWJ z5bTEj9lB+FGgZIbuRBDw7hMw/gMk8mPuWEEFXKosCFhDUZspCm5wXQDS/uJ HXC5ZXSjkhtHqJOSxqzCsNyg6MDH7IUKO+q5kJsr4NK2t9g/idj4Rzf2XCk6 vnve+NVmmn5Qj+5eQrdq0fXzqLECgVJ0sRjVnEbn8xBZW8lCpcdQcRoq+B3l HUI5v6Gs/SjzV3Q0DoFfsOSgVW/YVQld3x+MubG6V/E+3n8lzncp1nsh2nMu yv0tcHsTjp0U1+lQl6kQl8lg54kgp1cB0hcKzA0x5saot92Ipy2ZGO9u80Ru 89jVetCVQsPJol+GoWFOoEHEhmkP5gYweaAGjU6WFYJOYhQX+EMrNLyPDQPB xqTTxui+Df2njeE9Yiad1hY91viR4OW+HU0hIxix7bex6bcx6xaadDiadIhN Ou2se+0kT/AnRCAdElg/FFj2uFv2Yl9e6jksDn8ujnstDngmlg17OTwJlQzF Yp9336Tbybfy8kV56qxXxDTwfH0wciYnZf546bt91z+F4APufIkq/3yo5DN2 VOrpzLjmroXyttcZt4YxNLBH00bTvdphSTMsugULa7fnxqnvcIMRG8U0srEV GuxjAdjkRjFk467MUKezkOVGBZcmqAOtszyzS1zRDY5Hh4Z5kz48ZwWrpLDS B7+3ZpW68kqeuJFnfgsImvUMrlrrNrhoXZJo14gMLgjhBSt40RwAU06TCa/F UvOuo3aH0KjbHP99nV+Z+i+Y7V2yPLkirH3veu+j/x0URZe2lUzAIiSb0uDM TlK2g7mRpbFNGb6qEr+ATqTN34ndE5irYVaqwc2FtNuJBl1MsaU9+ugCa8oP JGdDnRupDDd+3IYbjNhI2YYbtItXFBMUZbjhfeFbMvyLQgOpcQN99WTzCKAW FSXD3MFFdKMWNZ8jA5rrS1FdEaopIMuyFSeJt1JyFBWmovwjKDcZnUxCxxOJ 5ACxKCWGjIM/FPHlYNjnpJBP+4JWEwPeJ+xaifNbivVZ2O01F+XBciNMPh3q Ohni8jpIxQ3JM1/xGMsN4qQ8cbN5LLcelFs9csHQsOx3suiTmT+UYmiY9Uho wJNyA/smXSIKDXtMDMoKgg4iJygfAMB8AAb3MDGsjdqtDe9ZG2BrY8243dq0 09ronhX+hYZt1oZtAD+adFgrFKwZ33cwvm9nfN/GvMtGNGCLDxP22Zp1O5h3 C7BZ9whcB+2DRh1Cxx3chhyEA27CRwF2j4IB8NjzQnZ0SpY147LntdzzBZC/ SAyayEya2Z8/H3b5nX/HR/9zH0NSV/FtcvL4x/MX1pq71rHwONo9D7re4vew uHW0GYAe4t2XtNEcdUaEVG7hRt633FDOVflKbOR/xQ2wRW8UQ7bOpZDp+QNh lTJIUsLDv51fxjOp4zo0azjf0TC6rAsrLWCFBJ6VA2AhOMtzxlS5zjVuBPqX dbXrLPk1Is55e1hlTermak1gnREABpxGfd5NM607hlr3tfTbgfWAjmzc0G/a ZO9by5NzNjULsrurvjUIfzASbq1ktL4qu/e4CWb0stwo3kkSvRixwUAjU9UX aCs3aHCDcCNbQzuPdvNguWFJJYeyRXkq5UaKkhtp3zopqpGvjNj4aSs3VOjA x7BBUYYbLtXf5ca/GjSQKtl122xzZlWIWVNhlmMxOhpJGgdGB6hBoArVn0UX z6BaAIjkyEZlWagkAxWlo/wUlHsYZf+Gju9DYC9K34NSf6GZ55FfDoZ/Phj6 aX/wamLg+wTFSpz/Uqzvwm7vuUgPGtxwmw6TTzHcCHbB3HipkD1nuOHr8NTL fphy47GbzaCb9SO51YALhYaT+UOZea+UQkNi+gB7zWKTLkCgQeIVGBr21AGx M7zPPAoN79liXGBuGLQBjAhDBhd3rfRVdsfKsM3S6L4lAJZ4v8FdS/27QP+u pdE9S4sHloJ2S/wqDYBYYTNptxI+xHixMu+yMunAOgSYdtibdQqlfQL/IYH3 kMCh3876oZPNQz+bPnz+jpGjjodfOu5/KVWMA9mov9PYHp9nSXETEcdnvM4v eF9c9jm+5Be9hJVJ+uGV0rJ3ZS0fsM8S3/8RX/r+GyiHroPfuT0CLrVi1dEK T9fB/GaCDizI80qBMln9j7ihEhvq0dT8zfR1IjkYbhSxnUsJOrDPgrlRCdkg STHhBu8M17iWY9ekIb6poVNL5sjDs46wXAyAkWEZV3SWa3SFq3cRaFXrcKvw SzawwpJUzJ0zgtX68IIOAJrcq3z+DZ7Wbb5WG1/3DrDo0ZWMGPm9NE2YsDox ZVkz49iy6lX0Bcuw+Ir59Jrh0ssPrjTe64EnO8klF9LWHFkc0v8z80+4QaEB SRiEaeVBuMGlSV8COt2AciPtBzJDVp0bX4sNFTeYZRTa3Dh1G24g5KkKbmAT fV2c8q8rNpgNKAvqv/Myver7yrXYZoSuInSZpn9V0/qLMpr3WICqclH5SVR6 HBUfQwWpKO8Iyj5IXBVAXZU0AIirEvUl+efPSWGfDoSsJga9TwhYid+1FOtH uAE830ZibrhPh7lNhcknQ10ngl1eBTm/DCDcGPcVj/qKRjA3aObGN9yweOjE cuOBxLSbcEOAuYGh0SGi0LDHjgaGhuE9YgZtQoM2W4M2wg1CgzvW+netMSiw 6WG7bcmY/h1sFqQo6TZjAD8a3DE36SCP1KwM7lhiUyhYM76HDesQYHzfSnDf xuGBjdegjbTP1qJbYPFAYPnAy7KHRAJDhhwOjDuEj4qkQ0A85OU4FOkyEhX5 zCtlQl4643bqrUf8Gw8AIne9Tf51Li9vPr1+Kf4unZ19dSMmD6VloPJadAWA u9h/aXlcUducBfPzYP5FmNdOb/wmmJ+/DTdUc9xKACs28jW2QCMfbD4vAKxr UwQ3h7Ng7VHGcEODLOMWcWEh4BRzjao5wqsaNo0a3EodWG4Gy8SwFKsvbb1S rtk5rk4tV7MKcMq0YKkpefWsAFYYwCpteF4T0jJb7hUu/zpPq5WvdYevfROY deiJBo18R80Sxi1PPDc/P+XQ+M795FoAAHuyXqXmdRcVtdWX3WivunKlthYT sgmeuAiPa5AalozvcOMU4YZCQYOimBvHVdzYQRdhmVbDyoK19K3cwE7K799y 4wclN35iw6epTNLXV9yQUtWxbWLGvzo00LeuyvYHKa/9JkLXaBbIJYRqETpH XzqDQCEC+agiB5WdIJKjEEuO31lXBWBXJYFUrKTEbByO/nIo4nNS+KcDoauJ we/2Bi7HKxb3+C/E+MwBL8KNcMKNyTD56xDKjUDnFwGyZ/6b3BhS54ardb+L VZ+L5UMni16iN8x7pGaEG9RJ6RRTbjgYtyu5wUIDm63+XVsCjTs2encwDaz1 blsxptuKzVJpFrqt2D81173FGCCPrYQYeq1fGz7MuM1coWAMGN61xGbTaSXv s7LqtDLtsKIKhOSP2T8Q+A8Ifxm2cx+0txsA9gNy+0chokGfoBFZ0jNZ/oTT gQlX3wlXAIK9JxOjptKPTcdVzgY2Lgdd+wAKVkP3rR787WP+6U+VjZ8aACh5 MHf05uCRhnvpNJ3sOszrpnqjAubV0ywOsJUbdAm1WFlivxkSoaBQZ8hX3Min 6KDcIAecpekchVw6nZZjcE7DpkHD7DJWI1qk4LTUAQBTWMLVxnaewztLSVWi CUsFsMwIntUjfYMruCT1tJrLcqOZp9nK07zF5zcBk7u69g+NfR+bJQxZZo2Y Vk0KL8y7AOAXNxez//GRw3cL0q5fymy4nl1Tnl8OCs6Xwqx8eDwfZuR/zY3j m9xQKGhz41zqnpDO5EwXoB0kvU2xtUX5UcqNVCU3sJz4/cfvcoMRG9ivSUVb uw0zj7bf4wbTA/B/KMvr79q2rZvbunMLN/70QlTXW89KDvK8lJbInkbgFAIn ETiOio6yrgqgrkrGXlrp9svGkd3rhyLXDv78MSnsw76Qd3uDlhMCMDfmY3xn gfcbyo2pMPfJMLfXIfKJYNeXLDekY36OT31Fw94MN4SD7raP3GwGMDdcVdyw 6PmGGx1KbtxXcqONio27tgaEG7aEG0RFMLiw0r2FzVIHWwtj5tgwEOgTQB5v YjPTafnadFvMADDTayWm3wr0W1UAMbfvJDwxvmcuuGcjuId/qZVlh7VHr8Cv nwRArHuBTa8U+y+2fWKfQcf4Ecffxx2DxiWu41Iy9uV5TOCLPcmvFAWTPtVz oHDB/8CC4pfFuD3LGRnLhedXClpXsOuXePf5fgAOtGxg/6UGgBs0QEGJcaoF 5jUQFaHiRqlyhD0jIVTQyAdb0tTVuVGo4gb9ZylkUzSL6Ujr01x4mqNfqWF1 GRrW4lc14RkTWOJAKvGLufwiDreUWSwGJBhyRg9i1XGWR7BzlqSeYmhoXOBy G7j8a1zNWzzNm3zeFWB0S0/YJfDpNYvvt8gcElRMWFdM43fDR/E8KrzjUHRz 7p76S4nVdYfPglNlWZkX0g5cOQQzD8OMI8T+mBs5tNkgnWjAZJ8q5xqocSPj B5I9os6NlO9zg+Si/0g5w9w4X3HDTBUE+BcSG9v2DNxuJ/jO1f3JpgJIFU0p O0Pr6vMQykEoC4FjCKQhcAQB7KocQJnYVY9HqbEbR2LWD0WtJUd8TAr/sC/0 XWLwcnzg4p5d88BvNprhhgfhRqjbRKj8VRDhxnOF07i/dBRzwwdzw2GTG3Kb AbmKG5aEGzLzB1KzbonZJjccBO2EG8aYG/fsjCg3DO9Sbtyh3LhNudFqpcdC g3KDhYaF9k1zbJgb2jewAa0bZuqmvWmm2jdM8C/UuUmtBei2mDBmfNtEoTBV KMywGd4xx0ZliYVTl4W4y9KsE5h3Ciy6BNiLsewWujy0ixy0jxxycHziICFJ qu6ykXCPp4r4MbeMF+7FU+C3ac+waa/wN5ERb5MPzmYWziZfno1umY0BIBaA uMIvqSWfShvWMDrqSyoaaePBcphXAfPrYEEnM1Rlc4T9aTUPJU9JiXxVLQzY LGkpZOpq6fFkRYYeU0ZTzk5TbhRo6J6FlhehdiV+VRMWC2CxNdH/hRwOk8HO dB4r5pJXy2jSKTFSJUe4Ucvl1nP5TVzNFp7mdcCr1zJo1rO+J/DpMI3vMj/2 RFA6YVH0UgyAl2wgwu36Qe/LubvO10VXlCeXg+yz+5Lr9wTd3b37Sgw8FgMz YmBmLMyM2+z8c4J0/iHQKCCTrAk3sja5oQYNNW5kbuUGXVjZmgWq4gYzmY7o DbV75+sBB6qbRbn9U0MDfadn4HY7mbP/bnzjTzfmTSuluewFtJXPCYQyaffA 3xE4hEAS4cbRBJS2ZyPll/VDu9eSoz4eiPiwP+xdYgjhRpxiHvjPRmOP3ms6 wmMy3P11qPtEqBvmxotAl2dKboz4iIe98VnaP97CDes+F6uHMoYbFg+k5pgb XVu5cV/JDQyNNuFWbgB97KSoc4MSgxiFBiYGvtO1bphrXQda183UzESz2Uyz 2VSz2YQx/Au1mk3wfnqkiTa2GyZ6N010b7IMUShY0281Fd0zwyJE0AYE98xN 7lub3rcybReIugRBDwWufbZ2fUL7fiEAUtEjf8ljScQTafKoU/JzEPhcvuul XPEqIHAiLvb1/uOT4eWTIRdfh15YCM9bi8hc3Z+1crJ0sbB+vgxf/t3nhTAv F+blwfwSWFBNkz8bNkfYU7HBUkIlSNS5kb+VG3lUnODnZ2h9+hma4k7y0Ehw VbsMml+AnFIsafiwSAALBYROm6OuAbsuc4bIFZYbZURy4MM4tVzeZQ7lBlYd gHdJS/eKvlWrwPuO6Z4O06ODRoUTptlj9piiwo5wq0sH7M7lelXWRJ7N/60M ZFYFxzX6ebT7mQ/6SZ/5+88E714hHV1gRqSKGwQap3awwxSyldw4vhNmCZQl rlu5kUW5kfYjG+JI+TNupP9d3FDb/tnXUExMVr7tGahsJLigtvPvim/86aaS H6doC7DjtANpKu1WTJYBENi7AeI2UmLXD8esJUd/TMLcCH+XGLqcELQYF0C4 sRuAKO/pCM/JMA+GGy+D5S8CCDfG/KVP/SSEG/h/8sTcsMPcGJDb9stt+lyt H7pY9TpZ9sgsCTdk5t00w7wTmHaITVhuOBjfY7hBoEG4cUe4yY1WzA1rPRYa 2BhoUG7cUHKDgALTwFSr2ZTAgWWFEhrXiGFu8K8xBvjX2J3YmOO1lSTBh6kA YtAKDG6bGN42M7pjZnTX3OqeuXeXBZYflt0CqwdWANjZ9IptHzrs6nOIeywK Hgbuw44eT6Veox7e4+Ehz4KTn/lkP/M988wfAMVvH4KSl6IPz6WcfJNRNpVV P4HfqLSG++nltemdH7Pa1wthYSXtVExmVMPT7TC/i533pJIWKm6cYrixk+UG 08eDbYAMYQnlRgntPFbAcANqnYGmNUymBw+eNoYFdJpqgaqvqZIbJUpulG2O ceHUcHmXOPxGruZNLr8RcOu0tC8aWF4z9r5h+ku7IO2RwanXxunD+I/lZtoS onN+v21VrkdFVUR5RlIZSKlxCb/hKH4gMelztH/q6fk6MHwhhnZ/CiCFIZlY adCOYQw3cneywY3jzHSn73Mjg3Ljd1Zs/BE3SBY62MoNtG3jUOX2Tw4N0uDr 3/+9aHbWCW3pGRjy7//+f87O/l8Ijajt3FZN/ec3FUCO0W7FRxAJAR1A6NcN FL8B9qyDXz6B3atJke8P/LyyL3QpIXghHnNjF9HbSm5MhLm/CnHH3Hge4DIe gLkho9xwJE6KlwPmxiMP4VZuWGFuPGD1hpIbIpN2B8F9JTfavuWGDcuNW5Qb BBpWSmiw3NC6ruRGM2BwoYQG5YYaHwg3mhgD/CbB9wxrY81rAq1mgfZ1AU0k w48mei3EjFtNrO6aCNpMTO6Z4sPM2gXmHQKLTit5l01oH3DsE0oH7GSPHJwH ZS5P/D2HXOKGXI8MuaU+88DvSeyid9xs0N6phEOvDmQ/Tzo7Bq6MJAFw4Mbr pIvvDjW8z2xbyaPZp1hsXIQFDTCvCYDWzahp4R9yI1+DXZ0hQRLKjWLa6ZSE Uon/wi+GBpXMwXinIcznU24o47HqqaeldCW3TENVYcep5vIucvhXOfwbXP4V wK3V1qw2sKw39rxmsvueIKVf/8Rrg4OPLQFw0W0I1jq337oy2/1sYXj5ocSz wYmXzH1vm1j0WRj3iK2GPFxeBgbORtH+Jz4wwxVm+nzNDSa4QSevsYno33Lj BOVG+t/HjaM/0t7sCB79tgHgvyI3SIMvuRyNjpIGX8qegctYbsjl/aOj5Ai1 RoLgPx3i+OMNKGfHYEvaQIkbKOELivuMYj+h3asg6j3A3Ahb2huyAALnSG9z v5kon6lIr9fhnhNhHmrccB4l3JCO+Kq4Yf/IXTjgRrkhx9ywVnGjW2rRhbkB zDodKTdEhBv3lNyg0DC8Q8zgNuVGK8MNKyU3LJXQsNBRiY1mbFhaAJV+UMfF Fmg0Mgb4jQKV8ZTG/BO/IWqvAs0mghFKD2J6NwX6LQKDW/gwE6PbJsZ3TAR3 BaJ7AnGHwKbLQthtaffA2qHXTvxQ7NgnCu13jO+XhJN23C6hb1zDJz0jXoTt GYs+MgJyn8RUPIqtHYo9/Sa2ZDa+fD7p0tv02zPZABTA00UwvxSASniqhixi MpENNvj5PW4os0EKdrLcKKTcyGcHP/EKieSgR3JgnqEy6VRV86LGjTOQrWBV Bmk55zm8Og4Pc+M6l1cPuNU63Ap9i1pj90aTqDbjw316x17rxvebS3tl8Hyw ZtV+q4qT8rPHQ8tA3DmPqCu6Tvf0jLrNDTodTPvdHccDfafDaLWgO8xwJP3J s0Jhdjw8lUKuKEfFDQEzTVKNG2otytW5wULj26CoihuA5caxbYtDv9r+yaGB t39DqCcnBzU1kQZfWFfQnoHtX77syMn535qa/BHZi5S9Rv9ivaG2bZkdg23v FxT/Ge35hGJWUfR7FLECwpcA5kbQHOk16j8T5TsVQbkR6vEyxP1FsPxZoOsY 5oaCcGOY5YZo0BNzw27ATdgvt30ot+lluOFk9UBqqeJGh5j4KZQbAsyNNjtj yg2jOypu0KQvzA0qNvQoNHRvWqqgQbhBxYZms7nmNbDpd3wFDaoxCDcaTXjE AKHEVWPG+I3GyucCasYAKF8ir24hDDYVQDBedG4IdG8K9FoE5rcEgtvA5K7A rE1gcU9g2W5u3WFp02Xl3WUb0CsEwN7zpYP3hMj3uWTXU9/gJ37xj8DvfUGn ekJSXoSmvwrNfB12YjK2aGL/hedHWp6lAnAU5h2nDUAKetbKYUEdXUvdyo1T lBuYEky7j3xl1noBaWFBC2ZpVESZ/sEpgBosXjRIU748FTdonxzV0gwT4iij 4RFaKIe5wT2HuaHBu6JBgxt8zjkdjTP65ueM3a4KIu4YJPXpHHmhHdlratsm hVVBvMp9FhWZLuWHg0vB7hqRopln06Wn326ue8/B6IGb3dNA9wnsoXhChZNC IYKZrjArAGbH0naLgLRMz6JOCuaGKhd9W25kUm6k/AE3mMFtP1FogO2g8Uf3 wj/N9hGhGTWbYxp/zc6iiIjElharrCz2OA4HDQ11R0T87y0tg6qddPtrQhxb N8G3uxh6YG78QrkRuYJ+XkKhCyh4jrz/u2aA31Sk9+twr1ehnpgbz4PclNxw GsHcAJIh701u9LsJ+zA3XAk3elysH3zDjXaxyX01btxV48Zt22+4QaDBcuMG 5cZ1JTeumRFuNBFEqOOCMb6SGwQahAyA4cOmXTHmEhPgRxU08E56JMMTyhAK GfZRDSBYkGhfE+hcB3o3BPo3BYa3BEatGCMCjBHHu6Z2fWYAWDo+tpQOWTuP 2LoOSt37nEJ7QEKXe8KAV9ywz69PffaP+R58Fpw+Hl0wsqd6MB6AfTU3sAtz uH4xtWk568FCIeXGUbpo0kiajefeISFEdW6oql3yGW7sVCaJKeMeTHbZKTJ+ EeZxKDfoj2PLV1ua+YobxZQbVRzuBQ1egwamKK+Oz6nUhcX6plVGrg3G4a36 v/Zr7RvFXo/ApFkCKwM5lYlmZzOcyhJ2VYCI/6+9+w6O4zoTRX/q/rl/uO5W 3Xr/vX1F1eq+t/eVgdN58kxjBoOcCJIimClyh7Iky5LldZS967tr77XX1woU AZBEzmmQM4nAnClSVLKS5bAOut66XnvXYXftvt93TvdMDzAIVCSJ89WpUaO7 BxiOMD983+nT54xEdy6q4es+79mYcabCf2FHwSsPYYWCU9mXE1JCn9lCDz9I a5+w3TiSaycbz+as5sYRQp9lBciqnaL2QirPfBIfn71L3ZixrCJXe8Q9wdfv fpee4MsZtlH1u99lmb3HWvcQjnVEFjTSP8xJPz7L3Pg0uoFfJn5uHfgp2f+P ZO+PPg1u7H7n4Z1voxvb3zwIbmzFTtF9m1/ZV/ny7gp0Y1fKjWJ0Y2vh1bQb +ZeqYherohcq885XmOfKbTfOMDdOl4RYkYLdkovF6MaCy405lxsnmBszMX2G FRS8zZpL0ODVBwowCY0wIsLQ1CnWcDvlRkiZDKlTIRUeJwl7ZIbgRkjDk21D QBi+kUhEGCBEn7ZfAGPEBEai86Z5Diua+OW8oqt5JS/Eyl8oqLxSvPsiefR8 xV/eqPrUi1sefWn7469s/9yre7/8WuJbtz519IVHey8/QciTDT/5YsvPvtz5 7t9N/Ow75398BOlo4PVLN61P0qNzthuNmW4cw6lvbDeOue6C4WLYblC26HOm Gw2ZbrSySqeZ1Sk9sjIoqeMSvnWDmtTlpU0Bszv8wHj40UX/F1/UvvCKBO+G d6Sadj9Eu5/K6/zOlvYn9vWRR8a9FWcVzxmffiqqLZTrp3ZEb0KFspvi9I+4 ojR9poIe3kNrH0U36rkbJnZurOnGcy43/mF1N1iRcnjNj8wdiEbWWGniLx77 lp2f0cXxvmM1NCASCeenknT71LtW4mfWwZ9YD/7Y2vdDsvcHZPf3yc63P7UD 3Hgj8YDLjaqX91Tc2lWObtSU3qgpeaGGu1F0dUvhlS0Fl7dkceNsyo2SsO1G ie3GArhR4Gdo+OYcN1iywdwANKK8oEh9clnjXRnpXgtAQ5mARpSJiDIRgsY1 YNuwx5RxkURnPzxOEPYYYY/YtCm2wZ6FbqAhiAkDhDBA0BD3yzBm8Uf757FL JHImL+9cXv45UnEqWnUhtvViwfbLRbuulu67Xn7gRvWhF7d9/trOb17aU3t2 /9++efB/vP3Q/3znkWd/+NmGHz41/tbfEfJN2vAP9Ph3cVmT+vr5X/awUR+5 GZ0bR8+gG43MhGPpdV7QinrW0nQ4bhzPzeh6bXYuxbbwBW1lqQ3ckJgblHVu aFK7hzYGwl3hraPBh+e9T76ofeYGxaVMujfTrkO068uRjq9XdTy0a5DsnVGi lxR9waPO5ckny9kqWnsJ2Z7Am1sL4FeAPlNMD9fQ2kNs/btNOJYj5cYzztiw Vdz4h9XdIPaEY4ctemT1T82dPjTUFVkn/qphn+jRzKUQeHyAXRzrRSPjxztv 7F/ablh7f2Dt/r61622y401S8wZ54PWD27BzY381uPHSnspbu8GNshs7Sl+o KbkObmwrTrtBcKrhiyk3ysENk7kRATdOMzdOMTcWwY2iAEs2/AwN242TdrJh zOIoUG06ixtuNNZwYxxaWB6PyOMhtxsKfEzwUEQdD2Hj+8dtQ7CiYXs0bIQ9 hrkhLP1AQ3T2kuBHGwwQaDwVCc7lmQt5sVPRwjPR0nOxivOx6ovxBy4XHbxQ 9uTpikduVn/mpW2fe2Xnl17b/dXXD/zdG480vPrY+ItPEvJFevwpQr7e8ZNv 9v7s2cWftLLLrKnOjW56dNReBb4h155r3Y3Gmm40ui6ptPC1KSWpVZa7JSVJ 1TGqjhK5V5dawQ1/sCNUPRI4NO957JaauMzc6KqinQna8cVw+xfKesgDI3lb 5hXveUU54WF972V0ckfg3I5EYjNN5NMEXpCiz+TTw1vQgfpN6MZhFxrPZEHD dqOWufE0vzllNTfslON5i9at4Ubql/wuiSUTf/3Rst5d4cylbrynf6P53tDI eB1Mj/3gxjvWHnTD2vmmVfOGtf114rixdzNzo8LlRsm1bcVXwY2t4AacFL/E 3LhQFT1fmXfOceMMtJKlbiwUohvzKTcADebGiZjnRMx2YyoKf+61KdOmgzVb jCm7oRuQUYxDIzIqgVxwAWBDHguzBhoE+X4UY4woY/AYxsfxoOrs54wQEuZ7 tAl0w9kIYRICgEyG9KlwIhF2A4J6ICAE9PCcML3QTub556LhhWj0VDR+OlZ1 Krb5Qv4Dl+K7rhTtu172lzcqHn5xy2Mv7fjbG3uOX3lw7MKhb7z+8Lffevzp 7z955Idfmfv1d2hDg1OkfJcePUKPttD6EZZs5Np9p240XHSwQsZx42hqEVs2 LTC/pNLMl5mTpBZZ7pKUAaqMUmWIyN0abUY3/O3BqiHf/nntU7ekPWcpLoHU WUU7ErT9r4Jtjxb2k+oJo/C0Is8quAb9pEnHy+jYTjY7fRG73ySMT8EZ0Sts N2pNHCO6TjcOO/mG44Z79cZUnWK7UWvR+lU+L3cdGrcVxN3F8V7RWC1AjDXR SL8aJ/3Y/Zbjxvesba/h+LHql8nmlwi6cXNXOXOj9Pp25sa2oitbCy9XL3cj 7yy4UQ7JRoShET6VzQ2WbPhOMjdOxGw3ZjLdmHK5MZXRwA2FuzFGwAd5jMnA sg5gQR4NQ5NGuRtBdSKojAWVUaKMhrChHuCGsx8bc2MsxHaCGIRjokGbCGvM EJ2lIpDAACMMENaJOh0xpgno4WHdIJh+MEB8J/N8J+FPcDS0EIueihWeiZWe y6+6EN92mey4WvzI5bK/Pbf5kZtbH7+1869e3vPlVx/8+hsPsdX0/p42fI4e +xI9+hQ9+t9p/XcHrs6hCUdz+cIuGVys6UYDd4PRkXKjWQI3ZHSDKElF7tRo o4c2+L2twYpB764F9eAtunWeudFRSdsP0LbPeTsfjA6R8mklcIGNmR/X6ahJ h8sTie2emUo8MxFiRQShzwRxxTd0w2TVx/rcqGPrL3yX3+WKN7qyKQGzupGL P6XeosfWcOMeRcNKDTVPzRl4m/F+04yVIgUIuAGPW1+xtrxsbX7JqnqRVNwk 5TdIme3G9gw3LqIb+ReqYucrotyNM44bp1hbZG4sMDfmoTE3TjI3TjhuzDpu YAem6XYjA41JbOgGRwOJ4G4ElQnMLvBLhgZzI6CM+dUJPyQb8kgIG9IBhvjV cWzKaAC+xHKGkaKOBZCOcaICLNhAj7DGAZlEPeBMp5zBl8EAIfBoTJueaabH jOmdzeN6EIJ6QAbin4sF5mPBhVjeKVJwNl59Jl51oWDbpYJdV0v2Xy9P3Nj8 2EvbCDkw8b/2Dl44SI89RI9+mh797HOXv1Z3hQxe5GkGcaUZz67sBjuZ387v dgNnZbfdkDqp3E+VEaL0K1K7ShsM2uAzWvxlA54HFtS9t2gZLvMaom2VtG0/ WxJ0e3iUFJ1kaIzKdFijgyZNliYS1cZYIaspCFsizUef8dPnCm03niduNFzr KK3lxndWciPXnpNnLTSse98N54uV5/7KFh8WGu5IAQJuVKMbVuVNq/wFq+w6 Kb1GSq6iG8VXthQxNwoubo5fqMo/z92oYG6URU6jG5G0G4BGUXCeuTHndgOL FO9syo2o7Qa70qEDHZlisGsojhujRGJEyKNBeSygjAdYsoE+SNgABBDDr6AP RB4O2XSMgBW4X4VDI9CYGyPQUp5AZhJQsYEkLA8ZC2gTmJ/gmXZNBHlIGJIQ Y4oYkyEGSFoPLxun6p01fSew+dN6kMACAJIfXIznnY4XnC0oPV9QdakAsv0n 3ij5h7crR16D97Pmsxd2feHi/q9eIv/98nf+x5Vh+/IEQvElWv81Wv91evSb 7txjRTeamBstrK/jGHOjSZI6qNxHlWEi90pSK3PjuE9r8pb065sX5AdeYENB 2oK0tRLnBm+BRKjcN0nMRZmOyHRQpgMa7QcwS2kPW94IV3r18IarOTwXp0dM u1N0/W48/8mUG+zP6KZldKTdkBpW+pjc82hYy91Yd7XyUaDhjtRrAzcq0A2r 7JpVepWUXCHFl0kRdopWO25Uxs5VRs/abpjgxinmxiK04qVunGRuIBr5gAa6 MRMzpmM4oAu7F5a54UJDncDLpspYBN0YCUuYRQRk9IG5AWIM8xaw3Rhz3LAb 44LvH/HLeFpIGYYWsN0YI8yTAGCCdKAefm0CDsGZ8IOwruF5iD5BjCksYfSJ kKMH1i+e6TC6wQBBPWa5HiboEYA2H2N6xEKL8dCpePg0TnFWCunHtaLN54of OF+8+3z5gQtVD10kj1361JOX/7r9dB2tO0DrD9H6R2n947T+c/Tol9CK5W4c c82szt1oyWUTethu0EZJagc3clnnBqQfKq4BfdynNHry+7WyRVpxiU+VHMSe z5Y9tHmX1AX/6/gCLhLtJ7QHx+rTzjKKN/MZbFEDnTecW+M5qFA20dpNWLDw iX0y3PhkFjfquRvshjXHjVRzuUG5G7721dy4p9Hg8R4uxX7UaLiD61Fuu2GV XLGKL1tFlwjLN0iGG2fKzdPcjVLmRnF4gbkxz9yYS7kRRzdm027gRdjJPOxe 4G5MOm6k0MCrqBHuhjwWkUYIHWapheMGJh7w5RBr3A2WWsgjRB4KwE55KCgP wZc+ZdSrjPrAENgPbshD3BMvoKHCU4Z5Y56MQOLB3BjzwzeUR/2s2ME8RB+H ZCMIaOjjrIEeExED6xc7A/FMR7zTqAfSMUv8XA8GiN+lB7yFoEfkTIF5tiB6 rqjwfHH5+ZLqC6TmYuneS1v+6vxmWreN1u+k9Xto/YPfnD5EyMOHJ76zohv1 7LKL2w1cF5u7QdGN3lw5SeRO8ATc0MEN6bgR6VcKF2n8DBtC1hKkzaW0eSdt qmZLXUvyJMGV6LslvAOl3aRtxWztNi6GxlvaDWjPEXey4XIj41qJ7cZhx43v LHXDoYMYjhvRvqyfl42QbPC43UuxHycaqUilH44buF1wwYqfJ/nnieNGWR64 cYq5YScbxaEFEgI35pgbJ8ENQMPlxgx3I5p2g9GhT9powJfqRKYbUKGAG+hD UBrBj7MyBm4EMNMYCtHBIB2Cjzn3AZIKIoEbgyFpMIBuDHtx/4gXtweZG2w/ dwMeFdjGFsI27FdHvRrkIaPohgTUYFEThjxEGwM3/Pp4QBsL6GNBpkcE6WA9 IZ4pW49EAvXwzRDQA+lgxYuPjSXjuQe4EVqMRU7FI6cLzDMFeWcL8s4VReH9 vFBSfLGk8lJp/cmy3afLD5yq+tTitscXcNHtp+b2Z7rxOJs76Aus+5TaA1C5 G3zJOe5GA5XaqNSTK/cTAIQeZ24c89Bjmn9Aji7S0Bz7bs0B2lRMm3bQxmLa TJQJgss/dUq0nSYSbD1KnFGEJRg2GipNKHgpFrjgbjy73I1PrubG09wN4prF y00H0RISd6OoafnnZUU0/jXrEkZ3dmSd+CsV//Ivt+XGHYGGO9xDyJgbVvyc lX+WxM6S6Bliu7EIjScbxaH5TDdOMDdmmRszzI3pKOvcWOJGhKOhpdAY50UK u2IyjG7Q4UDajRHmxiC4EeBuyIDAiA/dGAxIyZCUTLnh4W5IST+6wfYrwx51 FNzwyEM+eRBICSmDAQBEHQE30Bn4hhI+HfMQdQS4IPqEX4MqZsSvQU4yGtLH wtCYG0GoXGDDAw1LGPtuXP+JiH/Wrl+8jh6ExEGP8CI20MNEPUje2ULIPWLn i/MvlMQvlhRcLiu7VF59sZyQyn3nqhJnt3x7irAkZDcuino8wQaifxrRqHPc aMxJu1HP3MDVWnOlbiL35kitULyoIAY9BgKo+gANLSIa6EaTjzYW0cYa2mAC R8ooikFb2eTkkKIgUEF2E67KxWDNxO8Pbjzv3HLiQmM1N446bnyXu2G5xLgv Nb2G4kw4vNtZ8tVV2mevUG7csDZv/ig/E+83sk78xePppy2v1/L7rZ/8ZOn0 RGv2Eq8UHz0a7kjpwdywYmes6Gkr7zQxTxFzsSTDjTnmxklo8bQbM9yNKHMj T58gqMQ4t4K5MeEkGzhki7sRRjdGuBuQVwRYDsAqCHAD9kCykeRueMENqErk IQJi0AGgwy8NAiOAhkcZ9sqDPmkATgvCfnnQa7sx7IFtGfYAJknuhkcbw6fA N5TAE5aHqMMABbjh1UZ9uA1tJKSNhPXRkIE9IX5jApKQgDEOX4IeEc8k8eIg EJ6EROweVNQD8g28Fya8YIbmY+GFWGQxHoF373RB3pnC6NnC2PlC1APouFRC SFnR1fLiaxWVVysfuFJF66Hh/bnsrre99NiDh5sSS93giy2iG6zfg7khdedI UL8cU8ANTBuOQraQ6z3luNHopQ1x2lDB52yXk3glF9HAvAWeEkFtjitscnKZ YiZA+Xoo9DmGxuGlbjhoLHeDTWJsu/FJPrEGC7cbsMuUEtnvH19p4tDf/956 /nmrtPQj+hR8EPHv2eb4wvUff/Mb66GHrHfe4XuI6/FuRcMd/P+d7cYpy1yE RiILJLyAfSCQbKAbDI3ACebGbMoNRMMzlekG0hFhjbnhoKGO4xAjZRTcYMnG EjeGmRtJaH6WGzA3hh03+gOghAQmDAEChjyUcgP3MzcMdYQoQx456cU9AwF5 wK8MetGNUQM8QTeYJ8pgSB1ibox7NKhuhqD51eGQNhwGPYxxrGjgUR+FFjDG YE/EM068kyHfbMg3zTMQPooMfu2xeyc4B2iYwZNmaM4Mz5vwvoEe5qnCvNMF sfMFqMe5Ikg8CAE9yoqulBdfrSi5XlH6QmX5japtl6v3nCOHFrd+5sT2L0zu xlm26h03nMUWMRmoY2605EpdROrMYWPMFIYGNEnuRTGkjlx7utTj+eyOGNZh 0sLQOMYrIJkeDSA47MIuE4PydQ3Sbjx3+248s8QNK9ON0MrzTmRPNjo7rR// +C5yY8ay/rMzxxef+Aun9GF3r2z73vesqirrT/8U5+JY6VJsZtw1aKQihT+6 sWBFoM3jIJXQHLbgyQLbjVlsPoaGdxrdMFZxY9xxYwwauuEUKUGXG1CS+CVw gycbKTcgqcAixS8NcDd8UhLcAATQDSnpk/q5Gz456VFgP3djwAv7pX7HDfRE h2eBG5R5oiQD6hDRRjz6mEeD7GXQow761cGgOhTWhgEKH5ypj/kgCdFHoIWM 0YgxxtyYCXingp5xLGH0ybA+ZbLZUPPAEEAjMGsGT5ihk3lhWw/TXIzHzuXn nSqInimInS2EzC1+oaTgYknh5fKiK2XFV8tLrleWvVBVfpNU3tpS/eKWXde2 Hby4ndbvoMd30cY9tGk/bThIjyZwPi6ehzTnSp1Easth101khoYKIEhdueo8 YStr57JOD3ZPKx9vxpdPsrtTJHzKMWfSIbw8arJH5sazjhvOSvesfTJrkWK7 UZ+D48yf4V0cy934r+yTUrzCFYTsaFy+bN28iWn/nezGv/2b9ctfptuvf/2J +++3fvELPMTm+MIpfdiJ5fxGlTfftDZtsn74wyxuZL4Ddx8a7kgBwtywQnNW 6KQVPEkCJ0iGG9PMjamoMem4Me64MR5hDTc4GmyUOHMjVaQMBqBJQz5MKsCN oQAWKUDEAH5ybTcw2fDhzj4/7Qc3oAxhbgx6kJE+1tvZD4WJoQzpOLBh0EA3 +vxSX0Du96EJwzq6McjcYJ4oA6AEuGFAHqKCNmAOCAOYJCHlgPLES4hHH/Vq Q9CghAnpI8QYDXsmAr5pv3fCb4xiPyobj4r5hjENmUY6AwnOmqETJHQyFp4r NBfM6BkEJO9UPMqu2OafK4yfBzrKiy6XFF4qLb5SXnKNlF2vgsSj8sXNVS9t qX5l+5bXttNjNbRxJ86oA/VL/T5CDqAb8MFvyqGdhLbksKk/ZFqv0Xp4hEyD KBOYpbARqjo9atJ6g92hRnEllLrUZV/7Rl08LZGb3Y1nb9eNHNuN7y4ZBXkf /1W63bm8amqsr3zFeuIJCz6JLS0f+K/2BxPXr1uf+Uy6Pf30J9jEX3iIzfGF U/qwEx9jDeMLX7CuXs2YSXVZAnZ3o+GOFCDoxgkrAG2W+KHNEN9MDN2YSrlh ghs6R2Ms7QZLM5gbo1ih2G4MZbghDSMd6AYUKQN+2w0sSRw3+sENeIQCxEA3 hrgbXtrHMhPmhjwIyYYOG/Cl1OuTev2y4wlOVZE08O4M2N/H8xCiDevaiK6C NgMeBYSBPGQgBFDoozgISh/xqEnIQ3zaYFAbIpB1eMb9vmmfZ9yHSQjrR4V/ FGjpmYoETwQDUMJMhvxTXA+CU7KfKIgsRPNOQ/oRi8xD7gHIFMROF+SfLYmf Kyu8VFRwoaTwYknxZVJytbz0WmX5C1UVN6uqIPF4BdpWQmoeeKOm5q1dn7+y 62vde2ndftsNHHqRw67YSrReZV2pRGrNlfv4LXI5DBMTnakjNhp1mTfFHEuN 4zIdPVZy45PrcuNZPidP9t+gVdzI+pRbt6xr16z5eSsYtN544wP8Xf5AYvns PTw+wSb+wi02xxdO6fOHP8BXX2N32WN84xuW661Y3sVx76DhjhQggVnLP4PN N0280KbICm4wOsYcN0ZTbgTl4aDLDT93Ax8HAzzZcLshDRLIKzDZcLkBRQf3 ARxAN/qgNnHcGDCkPi/t8UGDDeaGpg6BGzq6ATt7WR6SJCq6oamDutzvkft8 ch+4EdCGfPooCKNrUN0MQPOpyaA2SPRh5saUxzPm1YeghPGpOEKVuTEZDs4G AlDCjId8EyH/JAlMmYHpGFsRBgeShU6Y4ZN5kTnsQc1bNKOnzPwzIEZB/Hxh /FxR4QVSdKm05ArQUV5+varixubql6sqb1UTsgUSj22v19S8uXPn93ft+cHe v3xtH218kOLSlEfYFVsJk406nNNPgvqlhaORQ+s0Whegtbk4WqPOcaOOHapn 04fabqTRSLtxmC2JAm44yQabbGcdbjyzihvLY+1RXpDz35F1yvLZe3h8gk38 ZS0sWGyOL5zSR5atn//84Le//cihQ9alS0sWRLDDfVFppbitu9Xu2OB6MDcs 7xQ2zyQxJgi6Me5yAxu4kYGGMhJKuSExNFhjaAz5aDLlhpf1YWIXqJQkuKeP NwPdwNQCN7gPeCbuh0wDp7JhbnhoN3cDahZdGVRhPw5z6jVgv9Tjl/u86MaQ pg2rSlKX4bQen9wbUPqhfvHqI+CGpkEe0m9AHqL2B9QBcCMAYngnDWPU0LA/ xKcOBZVhcMP0TIYCs37/lN87FoDmGyf+CdM/GQvOsDRjIeJMR5ZHSNScz89b KIqdNgsvmPlnAZCC+FlSeL6k6GJJyeWy0qtVQMfmWxVlN6oIwbJlyytbH/he Tc0bO3e+vWv3O7v3/nDvg/9IDv7sAK1P0PqHaN3DtO4hdKMBTUANwIdajdbq Ljdy7JZy42hqMZSUG8ReDOU5txus42JNNw6jG4Gj679V654c5fUJ/p/fQT6C s/fglD5sLEfhH/84+c//7D5zyaVYvKlhle97D4jhjlT64Z0ENyzPBHafGugG cdBw3BjlbvC7SNANacjlRtJxY9CH26xIgbyCueHBYgTc6OdoeNGNfkNy3IA9 eENWD1QlsB/dkJOaDCf0Mje6cb/jhmq70QVuQGrhUQbADRWaMqDJ8PRun9wT QCUGPfoIjojQBjUFPOn1KX3MjSE/ujGhGyOGlsQ8REkG5UEcjuKdCAZmfL5J r2fE5xnxe0eJb8z0jceC09HIXCQyFwpOhwNTkdAM1wOSkKLYqcKCC9HY6Vh0 0cw/bcbPmAXniooulJRcqiq7VlF5s7z4ajkhVeU3wZDqrS9vfeC1mprXd+18 a+eut3ft/QHZ/+N9B3964NC7iYf/6RCtfYTWfpoeexxkQDdqoak2GrWckZwM OlZ341mXGwwNMGFtN57LKe++PTfuLTQgCflPFq6oxuP/YmvLL5nSJxXuS7Hm 6u/DPYaGO9xDyIxxS4c2BnTwZqOhOmiw29A4GkGJJxtuNzgathse240BYicb oEEvc2OAFykG7eVuGGw/ZBpEHtAgx8A9XY4b/ZqShKSCuQH7O71IRK+Bbgyq 0BR4Ip4P+/1KH1Qlhj6MY6LUpKb0sjykJ6D2gxs+yDQ84xochfoFhJEHgnIS h6N4J6BI8fgmPMaw1xjyeYaJd8T0jUWhWgmfDIVPBgKTQf9EKDCJt72EZvIj J4oSiTjPQMy5WHSBxE7F46fNgrNm0Xmz7Gp5xQslBZdwCuWS6xVVN6qqXwQ6 tjzw6q4db9RA2/UW2fvOrv0/2nfwJw8e+vnBh39x6NP/+2FCHiHkMUI+S4/8 Fa1VcPmkWuZG/TI3kA73YijZ3HiaX4dFNJgbOcvRsN2oQzfCTYGynnW6ce+h sTx+7WxkHfCa+sev8Vbcw2i4I6WHPmZp0EahERXaSFjlaOBAzZQbgbQbSZ5s +Bw0HDcGMNmQ+j0MDR9mC+ADK1VYkQI+4JAM2g0butSXckPHPV1e2gWJhy73 IxrKAHOjm7nR5ZV7CXCBbiRVuU+TYH8Hd8OrJlmyMaSoAyp4gid3oxvaoBcy Dc+YqkOWArlNLyQtQXkAJ0H1jvsC04Z3zDCGDD3pNQaJZ8j0jnI3gqFZn38i 4MP7/YOBCTM4lR+eLYou5hecM/Pm+TBUXNoytgh0lBSerSq9gktpx84XE1JS fLms/GpF1QtV1Tert760a8frW2u+R2pe277rjR173t61/wf7Dv7j/kM/O/Dw /3qIrZ2EdNAjn00kPkdrv0hrn0q7Uet2w7QrmqxuPOPkGw4afIbAbLN42W5I z2tV/aSw5zZuuLjX3Vg97Ewj/XW2UaMbBA138PeBuWGpIxaOxYI2DA17NtCN QceN5DI3+nnzpNygthse7oZdqqTd8GS40a+BFWk3ejS5D9EAPXCIVBe6AY9y D7iBaOChXk3qYm50YR6iDvAiRYYT5G5D6gQ3iNrn1wY9xggUKXBIVft0GZKZ noDUD24EvWM+/5TuHdX0pK71e3UoapIR70g0MBkJnwiEZry+MZ932Adn+sfM wHh+eKYwuhCNnwmbc5HQNInMmOaJPJaBlCQSFaWXi0qvxPPOmNFz2AdSeqm0 /Ep51fXq6pu7ar63+YFXyLaXttS8um3n6zv2vAV07Dn44/2HfvoQXqhN4B1z 9MijicTjtPZJRsdXaP1f24nHetzgaDzN3OBoONMR81m8lk+sAUejbfEDMyTa vYYGxLU80MYOsqyLw1rSWboB0UhFKv0AOpRh3vCXD6+rLnEDR3NlJBvcDXhk RYqHJRuZbvSzzooeA28GRzeACw3v9oLkoUdHH1hLu9HH3OhkbnTCfqL0MTf6 Fbkn5YYX3eiHIkXRkhKcIHfptN0rd8HJPi1pGMOaMSxrA6rSq0tY74AbUHoE INPwT2ieEVUf0NReovUF9QFwwwxMhMOzvuCU4Rv1GIPohm/E9I/lh6fjkGnk nwpGTkAGQkJTkfC0ac7G806WFJwpSyQKWQaSb0Lxcqao+LxZetEsv2JuvlFT 81rV1luk+kbVtlvV21/ZtvN7NXve3LX/nX0HfwRu7KMJpCOR+BTOSV7L6Khj i6FwN2w6TF6qZLrhmmfYnWw8557GnMiJTUaW1ZTCW4eL9s+up0gRmQYP4uri 4MPhMq7JbmQ03JECRB5ij4MWc4NIyWVu2Gi43OgHN4w0GnZXhoHFSA+KwdyA BAPcYMlGn4Zfcjc6dakb0glMNtJudHjQjW4Ce9QBRemT5W4VzqTtHkwtenQV MxNZHZCUXlXC/eAJUXq92oBuDEORImlQ+HTrEjoTAAq0QZ931PCNq8aQovVr CiQnPUG9P+IdNv0TQUg2ApO6d9jQ++GlBj2Dpn80PzSdnzdnxhYD4Rm/f5QE xoOhSTM8Fc87UVJwuqTkUrzoPPxdjrIeVEhCCovPlZVeqN78grn9NbP6pll5 tbz6haqtL1Zvf3nrzteAjr373z7EVjTYm0jsJ+QgrX2IdZY+TuueZG5sclIO 00456rIs2pjhBitP3G7ICaInNvmXzuIF/6jKQ/PR3cKN245U1kHco0YFGssj BYg0yFqSsGus7DLrEjf6bDdwqpneZW70LXFDQzd6CPZU9DpuYGoB26rE3ehl bnQYrOnsllLIQ2S5VwZbYA9th5LEkLs1BYWR1H5J7lEl2N8GnhClx9AGNH1I 1QcllechuJ+5kfR5R3TvmGrgIU2Gk7sCWl/EMxTxj/tDM4Z/XPUMaVovumEM mL6RaGgqmjcXjs77QlM+3wjxjwQDY2ZoIm7OFsdPFZdcjBaexcu7wdm8vLlo fAHogCSkGtr2V0uqrpOyi2YlpB/Xza03q7e/tG3nq3t3f+8AITsSiZ00sQeX Uqp16Kh/LIsbdWu5wW+if87tBqBxH6ARSbhLFXhWISG7vnQ1tH1mTTcEGisF KwEFGuuINCBJiw5YjA6CRNhoOG5AhdLncqPHbtizwTsxUm50oRusSMFthgZz o0uVejDZgEfmhs7cgMIE3JCVfuZGl0rb0Q04xNyQwQ2lT8I8BPa3GTiEG9zo h2RDhvpF7VXkTnSDduIQd6hfPCOad0TW4RCUPB1E7uRuhPxjvtC04QdSkqqK JRXkIaZvOArZhXkymHfSE5wg3iGPd9DvGzYDo3Fzpji+WFhyIS9+Ogj5v3/K NGfM2Ml4fL6s5Fx11bVK1okKjBSVnS+uuFS2+Zq59Ya5/dbempf2EbItkdhO Ezsw8ajdZ9NR/7DLDTPVy5GJRqYbzzI3OBqHeY9oDptA48+DiU2xxKaijHxj F/zcz18l1TOrmyDQWCMAjkRieaeHiOzB9UA6+nljemRxI40GuoFfptxgUHA3 ejUJDOnkbui0U0270a3idBNuN3qYGz2y1Om40a7LXarSizeKwiNs0zbHjW6s XyDZ0KB+gad0aLTVQztwiLs+YHiGVc+wpMMhSHvaiNzh13ojnsGgf8wTnNJ8 I5IxoCpdzI0+dCM4YZon/OasERgnnqRh9Pu9STMwEo9MF+cvxIvPm/mLODmA bzwUBmGm47ETZcVnq6uuVmy9RcovRQswAylKJIohD9l8ddsWSDxewJEhNFFN E9sg8aC1QMdeWvsgGxvG3Dhiuq+qOBqs4MZzhKORcgOnDEvc70uQvMSm4nTK Ac96HOqUJ66Q8uk13BCfAid+nXWvq7uYuDo8RKwWqfQD6eiDxqbl72NT2y1D A6xgbrB6xOUG7SasSEm5oaEbnSrv4oCkwnEDiCBSJ1swETs3ZNqRcgM8cdzo kdCTNg3daMeVStQ+BTIKrR9wkKV2cAPO527oniGoRKjWJynwMlqZGz0RI+n3 jRqBCdU7TPU+VemEl+rXe03vELgRNmd9kRndP0qMfkPr9Rt9pt92I1p8PhSd x3EpnuFAcNQMT8Sjs2XFZ6orr5ZuuUFKQZWT0YL5eNGpgtKzUL9AmrE3kdhB E5Vs3DgOPqS1NbR2F63by+6HZYuhHGHrRDvDwFZz4znmhoMGr1PgfxFN/L96 wp4D0OXGI4SUPHqFFE2tMZXExvwg/Id71UfLvrP+t7/dttL5rqlIll5zEbFK uIeQ0V6LucFaphss2WBEdOkZbthFisaSDZcbPeCGYrsBH3nuRjcvUmTaruLO NoO2qbAfxMAJObslqUNhbhAgBXIPtZdVIlC/wFPauBs+qJK0fs0zJBuDVIUU pYPQFnDGr/aEjKTPNwIZheIZpFqvKrejGxq4MWgGx4ORWU8YUpFhovcaahd6 4h/Oj0wV5M+bRWehhMFb8PSkzz9kBkfi0ZmyotOVlVeKN18nxWdCUSheZqPx uXjRYlnpmW1lZ/eyCqWM4oqNOMqUlSQm9ma43TiSa6cctalLq9nmJ3+OTUrM 0Xieu8F/gf/Csv7/JbOG0sRBQmKHLpPYim5sXDSuXbP+4i/cOyrffbedTQhW /tRTy5eATEfmREbL9diQ7+b6IkOPHmiENYYGpBncDcZF2o0uwooUlYnBNjqw QQohdSu0k7mBaMAjoR3MDSxSAAGeV+jMDcl2o0ui7TJtxfwBDsmd4AZWImoP 4MD3gzPMjT7sEdUHKByCzATdaPOr3UFjwOMb0fyjkidJ1W5FamNu9KAbgTF/ ZMYITSjeQaL1GHK7X+8x/UOx8GQ8NmcWnIaj+O9Se33eATMwHM8DN06VV1yO V14hhaf85mTInDSjM/H4ybLC+W1FC7sTiWpCimmigOIK0WW0FuiopnVb2N30 JqtT1u3GYebG8yk3CM83LOv/4/9nXCkHPHEvHD5webVkY2OiwePP/9z91X2f //x1NiHYY08++Zhzj9tqsUwPkYGsN2w9eljrJk5LWeG40UmwiyPlRofG0aAd CmQa0GBjiRuQaQAdEiDQxvMKaIrUgZkGutEp0TbHjVZN7pSBBa2fKt1Uak+5 4cXb3/oUSDZ0ONRFpTbHjS4/FCDeYdU3Qg08BD/dkFr9WnfEkwwHxnyRaS04 JnuSRO3SaQvsN32DsfBENHYyFF/whqdUY0hVur3gSWAonjddVrhYUnEpVn4x VDDvDY/7QyOhCNQv02Wxma35szsTWKQUwJ9+QgoQkFqgo5zWV+LsPcvdOJIu UpYMILfdeJ7dp38khy0tnZNZbBP3bMM0UQNH91wSyUb2uP9+91efyMv7EZsQ 7GvPPlv47LP23tXnMbbWTj9ErBjp9KObN1CCN+ZGJ3OjkwOiutFANzoVVqQo dj3SrqAb7cwNLFJSbkDWIaMbXWyFow6JtqbcUOUOyEOo1sdxkGmLBj4AHehG r2wk2aFOSluYG61+pcun9+neIcU7RHU41MHcaAFPwp6BYGDUE57WAiMESYHS qdmvdZm+ZCw8bkZPBPLnjOAE1ESK3OnVOk3/YNycKi1cKC6/SErPB/JPGMER rz8ZCg3nh0fLIuNbzYntCSxSYqx/I0pIHFd9rS2m9SWZbthorOkGdi7haXbW sewXdZOTcsATN8NjzcpubBA0ls39Ze/PdEO7//6rbEKwg83Njzz22GrzGGeN bOmHiHVFGpAu3lgPasqNzpQYNhrYOpEO5ganQ2ZdFlihsCKFN+ZGKxQajhvt 3A2VuQF5CGYaai/FVUtaJduNFgNHpPdQY4DCo9xhuwH5g9Lp0fs075CEnRtw qB3doNyN/oB/xAhPKr4hosM3hB/dDPtNbzIWQjf80ROAIdVwGUev2hHxJ/PN ydKChYLyC6TkjDc6o/gHdU9vyDeQ70+WBYa2BoerE4lihkaIPeZB4kHr8tlS s5tsN57nFCx1w17r2e3G89wNdn52N1IpBzyxDE5+6NpSN1JDyjdILJv7y96f 6cbnduxoZhOCFX7rW5NwTrZ5jNeOJemHuPRyW5HRg4posJaZaWBrtzccNxSm BMHUopMXKaweQTRkBKENKxS2VCJNu9EiS+2Yaag2DuCGynzAEemwEzs3unFl E1yapNmgzT6lw9B7Fe8g9fBDrcwN8KEzbPR7/cNaaFzCzg041MLc6Ix4B6Kh sXB01ps3AyeDUYrUgm6AD5GJ0oL5/LLzpGjRMCcl34CudYaM7nxPT5m3b6uv vzKBPRthtmhjgC0u73SKLnfjeVuDTDfS11OQjiPrdYOVRVl/czd6hcLD7cYf /vCjurrimRm8s55NCGZlzmN8299cXHx5P5HWowMacZqDRru9YbvR5nKjQ8ae irZUXsHdwNl6EYdW5gb6AG5IYAK4wTo3cHpw2qI4bsjAgs7rl9aUG16oPrQe xZPEzg0V6xcF78Zt9isdAaPP4x9Wg2NACsFDzeCGD3zw9pvB0UDejGFOyfAa lC6FNnmV9oivPz8yXhyfyys7RwrmtTA8sVeXW0JKW77aXqZ1bCWkLIFFSoAt vuZli0QHcL4vdMNk11McN55f7gaxb2tN5RtHmBu1OSu7cZ9Dxyq/qxso2Vgp rl2z/uRPrNOn7S9l2XrtNevxx//VmRDMypzH+L3/IHHx5f2ESw8GCHZiKKmG brjQ4G4wNLgbCoMCG3yGHBwkhgYQgbmE0okNceBuNIMDLDHoolovVXiR0sz3 e+R2DcoTcEPnh5q5Gz6lPWD0Gr4hJTBCjT6iwA9q0rgPnj4zOOLLm9bCE9wu 5kYbeJIfGSuInzRLz5H8E0pohOpdOm0K0aZ82lQmNeOVFDboy8uWT9LYSq8e Wu9l6yC43MiCxgpu1LrdyPqLt7obAo0sker/ZBOCYWTOY/x+v3+29EP8b1hv pNOPdovRwVpbNjfa3W7IGW60cRx4f4WMbrRizwYrUnANI+YDFilwJrqBPRg8 2eBuGHKbAjWIh/d7wHdrYm6gA169R/MNSv4hqvcQdkjjPnh6w8FhrzmlhEaZ G23ohtwa8fblh0fz4yfCJaeN6LQUGKRqR9oN2lQBxUICixSdrYQisRUbFZyv OKsbh1ca8UWc9eWZG3Wru2GtgoYlKpT1ReY8xh/YtxUXX95PpAFps9jaysTp AiU2FNjzya3gethWYOdGq9sNttGKaDAc3G5I4AkkIUCH3OZyo0lHN7qop59q vH5pkrkbMrqh+pIUmtZFpBbbDbk1bPQEAsO6OSUFh5ldLcyNFvAkPzySlz9L iha1vAnq66dyK3yrIHOjFBohsQQWKaqziBL7J9Szzo0lbhxehxvHiH3vW+3q bqwUItlYb2TOY/wBR9beD/G/Zv3hAoQwNBw32mgqx3CUcNxocbnBoWhBNFjP Z8oNhX26sQzB+gUFIJBXABpAgdQqASZGH+QG7PwmyXajVde7FW+SevtZ50aT 2w1fYEgzJ6l/kL0G+FaNXqk54unJD41E8mdIwZwSGaOeHoo/ojFIG/NpYylt LCbETGCRImW4cZTQ45luHF7NDU4HutH4ftwQaNx2pMqWDylcVxBE+vFewtaj 1WJ08LYUjQw3mnkKYVuBbrSu4IaNQ8oNBfYDC3oPZT0YLjdaNK1L8g5QTy/r 3GiEpoEPckvY6Pb6B5XIOPUNsNfQyNxogv35oeFwbJrEZ6XQMNW74JDbjTgh 4YRdpHwQbrQQPkGHM7JUuHGPhLj48n4inX7gBVaSrkTcbjSnmsuNthQmLBlo kviZ8PFn3RRuN2SpGTMNrRtqCnaokbmB+YOqdUKyQY0egoccN6TmgN6l+5Ny aJR6+/ja0DIuD90YNrrygkOB2BSJTecGkrlqe26mG1FCAgksUtwroeS63LiP 1t63Qr9otvnJ2wmuzeTcNns7v2ACjbsgltUvIm4vnDdwk6MH4Sy43CAuQJwi pYk38ME+E/IQGwd0Q2Z1h2S7weuXxpQbutQsw05PH6QNRGrOTbvR5NM7Nf8A DQ7nGt257JDtht4ZCQ56o1MkbyLX15+rtLjdKKKN8Gn1JrBIyXTjGKEN78UN rY25Uc/XZhJo3LORLf0Q/wtvI9Iz7iIUrAd1uRtNvHsz1WTbjSZMNpzODco+ 7Apq0IR5CNAh4c5c5gb4oElNktqR6+nL1ToI22+7AU3rUIAFyCj0zlx2SKYN XtoQ0jtCgaQRnZQio7menlypKZc26LQhSBvyaUOcNkRApIQLjfTia+/JDS+4 cTSXHs+hjWu74Tou3LgrQ6Qf7zvs0ZIpQGw3HCsYDqkmpd2wKxHCEJBZQyuU NmxMgJQbKmxDoeHpzVXbmBsN0DT0oVHXOmRwAxpmC7gf3PCAG1q7PzCAyUZo KNfoTD0F3IjRhiht8BOiLnOD9VTcvht2qQI/AnTCVSPX/kXaaEPK79XI7DsV o9dvK+yZJWw9MIUgdiLR5C5S7MZ6L6nTTcHzB4k1tEJpzZVbM91ACkAMrETk FvbxxKayvELT2nO9fbne3mVutHn9/SRvHFMRrW2JGyY8F+fiyu6GSY/dZ7vB blJbdnPKCm5AlQT/qHZpfb89Ao17KkT68V4jQw/8HC0BpNFu3A2phcuQcsO2 AtCQm/nHHCiQ2IcdHjEJ0TtZ50baDfBBAU8ADSBliRtqq+HvI+ZYrr+PdW5k uBHGbpNE7lpuZL2pLQsathttlHbKtFsRbmzYWJJ+rHLiR/ea7o5IzWrlql8Q B16PoAzsqgfvw3S5YWsAGQXvi0i5ofJtyEO09lSRwt3QQQm1Ndfbg50baTeO e+hxv9qq+XpJZDTX250rwbOOQ9Po8SA9HoOjODT0dtxYPdngbig9Mu1R2WyN a75LAo17PNZKP8T//qyRmqAmMwNhgHA3sCsAEeB1h8uNdEaRi5kJK1LQjRbW ueEcosdV5gDu93RjJYLfFnHgbniVFtnXQ8K8c+O42w0TTkCR1uPGspk3VnFD T6oUF59aT+fGagupi7hnYoX0gyw5R0RmENdkvJmANBBHDBcF2d1gpBzH/UoL cQSAprCWqzSjG0rLEjcMpVny9pDgAOvcyHAjDBt48ppu1Dlu1K7LDd+YRgfX 44ZINjZcrFS/iN+EFYKkypZlemxy6ZFudpHCPukOBbYbctMSN2S+3+iCQ0vc 0OBkqFCwc6PZ7UYAihR4bjY3nDtNlrhRu143gjM6HfGs5YZAY0OHu34Rvwmr ht3j4d52j9BOpx/s0+30RSxzoylXaljihr1f74BDbjcMekyWG4mni3VugELH eNPosQA95qHH6HrdSI8bz7GsNdyIzHvohG/13wZRoYiwbqP7VEQqliyvnFm/ HOctixtSoxsN5gbTQG5klcgxPtoTmkyPgRsUkPF05hodKTRSbmj2ybfvBpvi Lwsa3I3YWR+dXp0NkWxstPjV6ofF1dvbiaVuZOkAYXpkuAHJxjE3AjLfgHRC bU65kcP2gww50nFidORorTlsJ2+w30+PKWwoOCYPiWWLNqbdOHof3lNfZy/W lnJjedmVcqPgkp+eWMWNpWj85jcf+hst4uOLX1iW17L+b8sKrXmqSD/WHdnd yCxh2Nj1YzYX4IAjBkfA3pCO58iNOTYFuEfiMsATjfYcpXmJG1ikrOqGSRvu y3CjbqkbS6qt1AsueSGoLKbdWKKEu0L51a+sPXusQMA6cOAjfMtFfKQxYVl/ ZBt/alk3rfX9mVjhzn0hSSpSg8RWyvxJKvew9UA3crI2oCPTDUqP5tCjRG/L kRty2DZvGmu4vV436ld0Y3lfTfnLYf18Rr7huoshI9m4csX6I/ud+m//zfr+ 9z/aN17ERx3/9Ve/+v3t/pkQF1/WitUyf6dySRvC0g8XGkedR04BbkgcDXjU W91ocDeUFdxIDTVx3EA6ltwan7o7ftPyxqBbsUhZqTu0sND693//sN5ZEXdA XLWsne/5z4Q7/RBoLIssab+TcpDMR1cGwmRINQeNDDe0luVu0NXdYAtM30eP u9yAlKN+iRvpl+1qK6qxEhpvvmn9zd98CG+niDslAItHLSu9SPZ7/jMhej9W jpX0SNUyZNkQMq4HyXSDptxQm5a7kXN7bhzNXQGNjJe9yizlK6EBf4Ceecb6 wx8+0LdQxJ0V37asd9kG9m+8/z8TYt7CFSI7Ha7lBpZPfOHOQNxEYNeEfDyH ZwtOU1LJA+diDTeOrceNVNxestHba/3zP+OG6N+4R+PrlvUnlvVfWL/o1z/Y PxNcDwGIK7JcrXBxkf36S4oOPJN3ZtqPSxpdrxsNnA7mxtHc9bmRJVZCo63N +rM/s3JzseCFbRH3fHxIfyZE+pEZS+hIc+FOOezB6ktzkk2ZgGRpt+HGsffu hhgaKoLHh/1nYln6sZEZcSce7jQjPcSUf7lqCcMBWdMN93OzupEr3BBx54c7 /djY119SC7hnpBZsm7gXW1x5HIijR13GIK6Vkg2auC/txvH37oZAQ8THFaL3 wwl+lTOdcmRmCGu4sTT9WMONTehGI6fDHqHK3BBoiLjLwgXIho0VB3i7OjrW piOdfiTIym5soo1sdmLnDjvhhoi7OkT6kXWM9/LV4Ve67OLuEknYeQvJ7kbj JrmJqC25etvtuSHQEHFnhkg/lt8kYg8DS2xyd32sQEfKjeUn2G6o7Zv0jk1G F8784+tZlxvuW1E+kndAhIj3GNnSj42GScYwbzcLK6cca7vh7dvk7yfBJA0P yYSolqWt840VyYaIuyWWdJ9u1DSEOG/CJvdVmPfgBj8tMkbyxvXYpIcQn0BD xD0cG773Y8lN7tbylGP9bsRnSeGJYHw2REhkPW+pqFBE3NUhej9ckTG41LmY uy43Sk6RsjN58ZMxQqLrc0OgIeJeiNQtGx/3C/kYIz241D1RxgpumG5kqi6S qktFBQvFhOSvo1NUoCHiXot16HEP6+JGAyN1uXZ1N7bdIJuvVBSeriAkvrob okIRcQ/HyunHPYyGxVOOJZec1uPGrlfJ5uvbis5VrfnuiGRDxEaITD02wiWY 5f+8tBuu8WMZbux+nVTf3EVItUg2RIhIBSEbuf/DdiNVwix3Y89bZMtLu1d3 Q6AhYsPGRtUD3XA6PTgdGW7sfYdsfXUvIVtWdUOgIWKDx0bjgyTspSd5wHam Gz8iW1/fR8i2lScAtESyIWIjxa/+9V9XPLZh0g9wY8kec8l6KNvefHDJG5G6 CUWgIWKDxckbN3I2b17ztHufj6xupOiAf/sD3z+40jsgKhQRGyl+8/vfP/H8 839RWrreJ6yQftwLomRzw0oND2P/6uxuiGRDxAaLb3R2vvbjH9+GG064L77c C2hYS91wO0Cc9VAOLe/cEGiI2GAxfvny3M2b77z77ntwIxX3TvmyshupEMmG CBFaTc3Wr3yl5IknPnH//X/d0vJ+vtW9MPZjHW4sDYGGiI0Xi7duzVy71jE/ /2fB4JU33vhAvuddrMftuiHQELGB40e/+MX7qVOyxl2Zfgg3RIi4M8LW464A 5LbcEGiIEPEhB1lev9yBkqzfDYGGCBEfYbjTjzsOjnW64Ygn3BAh4qOMLOnH nRC344ZAQ4SIjyvurN4PlxtLWUi9QpFsiBBxZwS5QwBZxQ3LuYVtpaMiRIj4 mIID8rHpsboblqhQRIi4c+NjSz/WzDdWOiRChIg7JpamHx/2VZh19G8INESI uCuCfGRXb9dyQ6AhQsRdF+n040OqX1ZyQyQbIkTc5UE+vO7TrG4INESIuIfi g08/VnZDoCFCxL0U60o/1gmL44ZINkSI2CCxWvqxzg7VJW4INESI2BhBlgPi fPyFGyJEiFg9SGqh2/VfvXW7sQSN3/72A3+FIkSIuDMjS/qR/byME0w3Gu++ a332s9bMjPXUUx/+6xUhQsQdFOvqPoV8g52Q4cbnP2/NzeEXTz5pXbz4UbxW ESJEfCzxL/9i/dM/ZT2yWvrB6xRn5TW7QsnLs956CzeefRabCBEi7r346U+x oFhYsP7jP/63Zf14hbOypx8832BipPtC77/f+sUvcKO52XrssQ/xlYsQIeJj iX/7Nysctt54403L2mZZnZb172s9IyP9yOrGjh3Wm2/ixre+ZT399If32kWI EPHxRGurlZv7u69+9f9paLgChqw70unHEjQg6uqwUxQCko2rVz/QlytChIg7 IB591Pr7v/8by/ovhw7V9PZ+2bJ+d5vfgAOS4QYUKY8/joXP4cMf4CsVIULE nRLf+IaVTMYt68D4uHXoEHz8v/1Bfeff3a5AIkSIuEvixRetr351n2V9d3DQ amqqE0M9RYgQsZ740pcWJidroKb45S+fsSwxVEuECBHrit/+ttqyjlnW45b1 84/7tYgQIeIuil9/3C9AhAgRIkSIECFChAgRIkSIECFChAgRIkSIECFChAgR IkSIECFChAgRIkSIECFChAgRIkSIECFChAgRIkSIECFChAgRIkSIECFChAgR IkSIECHi/cf/AQVKOX8= "], {{0, 344}, {360, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> Automatic, Interleaving -> True], Selectable->False], BaseStyle->"ImageGraphics", ImageSize->{360, 344}, ImageSizeRaw->{360, 344}, PlotRange->{{0, 360}, {0, 344}}]], "Output", CellChangeTimes->{3.578915405788097*^9, 3.5789156677546253`*^9, 3.5789164138916187`*^9, 3.5789339546452436`*^9}] }, Open ]], Cell["\<\ Because the Anaglyph package converts the plot to an Image, you can no longer \ automatically rotate and zoom the graph. A workaround is to use a Manipulate \ as follows:\ \>", "Text", CellChangeTimes->{{3.578915680509659*^9, 3.578915701861211*^9}, { 3.578916070702036*^9, 3.578916106673912*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Manipulate", "[", RowBox[{ RowBox[{"Anaglyph", "[", RowBox[{"Show", "[", RowBox[{ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Sin", "[", RowBox[{"x", " ", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}]}], "]"}], ",", RowBox[{"Axes", "\[Rule]", " ", "False"}], ",", RowBox[{"ViewPoint", "\[Rule]", " ", RowBox[{"R", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], RowBox[{"Cos", "[", "\[Phi]", "]"}]}], ",", RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], RowBox[{"Sin", "[", "\[Phi]", "]"}]}], ",", RowBox[{"Sin", "[", "\[Theta]", "]"}]}], "}"}]}]}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Theta]", ",", "0.61", ",", "\"\\""}], "}"}], ",", RowBox[{ RowBox[{"-", "Pi"}], "/", "2"}], ",", " ", RowBox[{"Pi", "/", "2"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Phi]", ",", "5.18", ",", "\"\\""}], "}"}], ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"R", ",", "3.38", ",", "\"\\""}], "}"}], ",", "1", ",", "10"}], "}"}], ",", RowBox[{"SaveDefinitions", "\[Rule]", " ", "True"}], ",", RowBox[{"LocalizeVariables", "\[Rule]", "True"}]}], "]"}]], "Input", CellChangeTimes->{{3.5789157190922937`*^9, 3.578915782848578*^9}, 3.5789158936659307`*^9, {3.578915972310055*^9, 3.578916063136511*^9}, { 3.578916456402575*^9, 3.578916471996318*^9}, {3.578917033329926*^9, 3.578917033577064*^9}}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`R$$ = 3.38, $CellContext`\[Theta]$$ = 0.61, $CellContext`\[Phi]$$ = 5.18, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`\[Theta]$$], 0.61, "Polar angle"}, Rational[-1, 2] Pi, Rational[1, 2] Pi}, {{ Hold[$CellContext`\[Phi]$$], 5.18, "Azimuthal angle"}, 0, 2 Pi}, {{ Hold[$CellContext`R$$], 3.38, "Distance"}, 1, 10}}, Typeset`size$$ = { 360., {178., 182.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`\[Theta]$443$$ = 0, $CellContext`\[Phi]$448$$ = 0, $CellContext`R$449$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`R$$ = 3.38, $CellContext`\[Theta]$$ = 0.61, $CellContext`\[Phi]$$ = 5.18}, "ControllerVariables" :> { Hold[$CellContext`\[Theta]$$, $CellContext`\[Theta]$443$$, 0], Hold[$CellContext`\[Phi]$$, $CellContext`\[Phi]$448$$, 0], Hold[$CellContext`R$$, $CellContext`R$449$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Anaglyph`Anaglyph[ Show[ Plot3D[ Sin[$CellContext`x $CellContext`y], {$CellContext`x, 0, 2 Pi}, {$CellContext`y, 0, 2 Pi}], Axes -> False, ViewPoint -> $CellContext`R$$ { Cos[$CellContext`\[Theta]$$] Cos[$CellContext`\[Phi]$$], Cos[$CellContext`\[Theta]$$] Sin[$CellContext`\[Phi]$$], Sin[$CellContext`\[Theta]$$]}]], "Specifications" :> {{{$CellContext`\[Theta]$$, 0.61, "Polar angle"}, Rational[-1, 2] Pi, Rational[1, 2] Pi}, {{$CellContext`\[Phi]$$, 5.18, "Azimuthal angle"}, 0, 2 Pi}, {{$CellContext`R$$, 3.38, "Distance"}, 1, 10}}, "Options" :> {LocalizeVariables -> True}, "DefaultOptions" :> {}], ImageSizeCache->{405., {250., 255.}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({Anaglyph`Anaglyph[ Pattern[Anaglyph`Private`graphics, Blank[Graphics3D]], OptionsPattern[]] := Block[{Anaglyph`Private`\[Alpha], Anaglyph`Private`isize, Anaglyph`Private`vp, Anaglyph`Private`vv, Anaglyph`Private`axis, Anaglyph`Private`gl, Anaglyph`Private`gr, Anaglyph`Private`il, Anaglyph`Private`ir, Anaglyph`Private`ils, Anaglyph`Private`finalimage, Anaglyph`Private`method}, Anaglyph`Private`\[Alpha] = OptionValue[Anaglyph`Private`ViewAngleDifference]; Anaglyph`Private`method = OptionValue[Method]; Anaglyph`Private`isize = OptionValue[ImageSize]; Anaglyph`Private`vp = ReplaceAll[ViewPoint, Options[Anaglyph`Private`graphics]]; If[Head[Anaglyph`Private`vp] == Symbol, Anaglyph`Private`vp = ReplaceAll[ViewPoint, Options[Graphics3D, ViewPoint]]]; Anaglyph`Private`vv = ReplaceAll[ViewVertical, Options[Anaglyph`Private`graphics]]; If[Head[Anaglyph`Private`vv] == Symbol, Anaglyph`Private`vv = ReplaceAll[ViewVertical, Options[Graphics3D, ViewVertical]]]; Anaglyph`Private`axis = Cross[Anaglyph`Private`vp, Cross[Anaglyph`Private`vv, Anaglyph`Private`vp]]; Anaglyph`Private`gl = Show[Anaglyph`Private`graphics, ViewPoint -> Dot[ RotationMatrix[-Anaglyph`Private`\[Alpha], Anaglyph`Private`axis], Anaglyph`Private`vp], ViewVertical -> Anaglyph`Private`axis, SphericalRegion -> True, ImageSize -> Anaglyph`Private`isize]; Anaglyph`Private`il = Image[Anaglyph`Private`gl]; Anaglyph`Private`gr = Show[Anaglyph`Private`graphics, ViewPoint -> Dot[ RotationMatrix[ Anaglyph`Private`\[Alpha], Anaglyph`Private`axis], Anaglyph`Private`vp], ViewVertical -> Anaglyph`Private`axis, SphericalRegion -> True, ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Anaglyph`Private`ir = Image[Anaglyph`Private`gr]; Which[Anaglyph`Private`method == "FullColor", Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ First[ ColorSeparate[Anaglyph`Private`il]]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null, Anaglyph`Private`method == "HalfColor", Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ ColorConvert[Anaglyph`Private`il, "Grayscale"]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null, Or[Anaglyph`Private`method == "Optimized", True], Anaglyph`Private`ils = ColorSeparate[Anaglyph`Private`il]; Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ ImageAdjust[ ImageAdd[ ImageMultiply[ Part[Anaglyph`Private`ils, 2], 0.7], ImageMultiply[ Part[Anaglyph`Private`ils, 3], 0.3]], {0, 0, 1.5}]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null]; Return[Anaglyph`Private`finalimage]; Null], Options[Anaglyph`Anaglyph] = { Anaglyph`Private`ViewAngleDifference -> 2 Degree, Method -> "Optimized", ImageSize -> Automatic}, TagSet[Anaglyph`Anaglyph, MessageName[Anaglyph`Anaglyph, "usage"], "Anaglyph generates an 3D image from a Graphics3D object that is \ suitable for viewing with 3D glasses."]}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{{3.578915736097034*^9, 3.5789157838331842`*^9}, 3.578915894630334*^9, {3.578916003568091*^9, 3.5789160641088037`*^9}, 3.578916414653719*^9, {3.578916464639853*^9, 3.578916472849389*^9}, 3.578917034547639*^9, 3.578933955196352*^9}] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Anaglyph Options", "Section", CellChangeTimes->{{3.5789153864957447`*^9, 3.578915387909968*^9}, { 3.5789161187800817`*^9, 3.57891612137603*^9}}], Cell["\<\ The Anaglyph function takes a number of options, which are explained in the \ examples below:\ \>", "Text", CellChangeTimes->{{3.578916144225956*^9, 3.57891616780583*^9}}], Cell[CellGroupData[{ Cell["Method", "Subsection", CellChangeTimes->{{3.578916494961371*^9, 3.578916495950592*^9}}], Cell[TextData[{ "Method controls the coloring applied to the Anaglyph. True color anaglyphs \ are not possible because of the Red/Cyan filters in the glasses which only \ let through a portion of the visible spectrum respectively. Three possible \ settings are provided:\n\n", StyleBox["FullColor", FontWeight->"Bold"], " \[LongDash]\[NonBreakingSpace]Anaglyph tries to preserve all color \ information present in the image. This may result in an image that is \ uncomfortable to view because the brightness levels of an object in the left \ and right eye are mismatched. \n\n", StyleBox["HalfColor", FontWeight->"Bold"], " \[LongDash]\[NonBreakingSpace]Anaglyph reduces the color by putting a \ grayscale into the left eye and the Blue component into the right eye. The \ color is distorted, but the image is typically more comfortable to view.\n\n\ ", StyleBox["Optimized", FontWeight->"Bold"], " \[LongDash]\[NonBreakingSpace]A compromise position between preserving as \ much color as possible and balancing brightness appearance between eyes. This \ is the default setting. Strong Red and Blue objects will appear recolored; \ images with green/purple/yellow will appear with realistic color. \n\n\ Different images may look better with different methods, so you\ \[CloseCurlyQuote]re encouraged to play with this option." }], "Text", CellChangeTimes->{{3.578916497675125*^9, 3.578916609239464*^9}, { 3.5789166636859426`*^9, 3.578916999316779*^9}, {3.57893147730272*^9, 3.5789315175958757`*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Manipulate", "[", RowBox[{ RowBox[{"Anaglyph", "[", RowBox[{ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Sin", "[", RowBox[{"x", " ", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}]}], "]"}], ",", RowBox[{"Method", "\[Rule]", " ", "method"}]}], "]"}], ",", RowBox[{"{", RowBox[{"method", ",", RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}]}], "}"}], ",", RowBox[{"SaveDefinitions", "\[Rule]", " ", "True"}]}], "]"}]], "Input", CellChangeTimes->{{3.578916406049944*^9, 3.578916450188367*^9}, 3.578917047494154*^9}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`method$$ = "Optimized", Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ Hold[$CellContext`method$$], {"Optimized", "FullColor", "HalfColor"}}}, Typeset`size$$ = {360., {170., 174.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`method$569$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`method$$ = "Optimized"}, "ControllerVariables" :> { Hold[$CellContext`method$$, $CellContext`method$569$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Anaglyph`Anaglyph[ Plot3D[ Sin[$CellContext`x $CellContext`y], {$CellContext`x, 0, 2 Pi}, {$CellContext`y, 0, 2 Pi}], Method -> $CellContext`method$$], "Specifications" :> {{$CellContext`method$$, { "Optimized", "FullColor", "HalfColor"}}}, "Options" :> {}, "DefaultOptions" :> {}], ImageSizeCache->{405., {212., 217.}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({Anaglyph`Anaglyph[ Pattern[Anaglyph`Private`graphics, Blank[Graphics3D]], OptionsPattern[]] := Block[{Anaglyph`Private`\[Alpha], Anaglyph`Private`isize, Anaglyph`Private`vp, Anaglyph`Private`vv, Anaglyph`Private`axis, Anaglyph`Private`gl, Anaglyph`Private`gr, Anaglyph`Private`il, Anaglyph`Private`ir, Anaglyph`Private`ils, Anaglyph`Private`finalimage, Anaglyph`Private`method}, Anaglyph`Private`\[Alpha] = OptionValue[Anaglyph`Private`ViewAngleDifference]; Anaglyph`Private`method = OptionValue[Method]; Anaglyph`Private`isize = OptionValue[ImageSize]; Anaglyph`Private`vp = ReplaceAll[ViewPoint, Options[Anaglyph`Private`graphics]]; If[Head[Anaglyph`Private`vp] == Symbol, Anaglyph`Private`vp = ReplaceAll[ViewPoint, Options[Graphics3D, ViewPoint]]]; Anaglyph`Private`vv = ReplaceAll[ViewVertical, Options[Anaglyph`Private`graphics]]; If[Head[Anaglyph`Private`vv] == Symbol, Anaglyph`Private`vv = ReplaceAll[ViewVertical, Options[Graphics3D, ViewVertical]]]; Anaglyph`Private`axis = Cross[Anaglyph`Private`vp, Cross[Anaglyph`Private`vv, Anaglyph`Private`vp]]; Anaglyph`Private`gl = Show[Anaglyph`Private`graphics, ViewPoint -> Dot[ RotationMatrix[-Anaglyph`Private`\[Alpha], Anaglyph`Private`axis], Anaglyph`Private`vp], ViewVertical -> Anaglyph`Private`axis, SphericalRegion -> True, ImageSize -> Anaglyph`Private`isize]; Anaglyph`Private`il = Image[Anaglyph`Private`gl]; Anaglyph`Private`gr = Show[Anaglyph`Private`graphics, ViewPoint -> Dot[ RotationMatrix[ Anaglyph`Private`\[Alpha], Anaglyph`Private`axis], Anaglyph`Private`vp], ViewVertical -> Anaglyph`Private`axis, SphericalRegion -> True, ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Anaglyph`Private`ir = Image[Anaglyph`Private`gr]; Which[Anaglyph`Private`method == "FullColor", Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ First[ ColorSeparate[Anaglyph`Private`il]]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null, Anaglyph`Private`method == "HalfColor", Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ ColorConvert[Anaglyph`Private`il, "Grayscale"]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null, Or[Anaglyph`Private`method == "Optimized", True], Anaglyph`Private`ils = ColorSeparate[Anaglyph`Private`il]; Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ ImageAdjust[ ImageAdd[ ImageMultiply[ Part[Anaglyph`Private`ils, 2], 0.7], ImageMultiply[ Part[Anaglyph`Private`ils, 3], 0.3]], {0, 0, 1.5}]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null]; Return[Anaglyph`Private`finalimage]; Null], Options[Anaglyph`Anaglyph] = { Anaglyph`Private`ViewAngleDifference -> 2 Degree, Method -> "Optimized", ImageSize -> Automatic}, TagSet[Anaglyph`Anaglyph, MessageName[Anaglyph`Anaglyph, "usage"], "Anaglyph generates an 3D image from a Graphics3D object that is \ suitable for viewing with 3D glasses."]}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{{3.5789164167982817`*^9, 3.578916452026226*^9}, 3.5789170481840687`*^9, 3.578933956002429*^9}] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["ViewAngleDifference", "Subsection", CellChangeTimes->{{3.578916494961371*^9, 3.578916495950592*^9}, { 3.578917015069993*^9, 3.5789170180437326`*^9}}], Cell["\<\ This option controls the strength of the stereoscopic effect. About 2 degrees \ is typically a comfortable value.\ \>", "Text", CellChangeTimes->{{3.578931755694961*^9, 3.57893180264513*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Manipulate", "[", RowBox[{ RowBox[{"Anaglyph", "[", RowBox[{ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Sin", "[", RowBox[{"x", " ", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}]}], "]"}], ",", RowBox[{"ViewAngleDifference", "\[Rule]", " ", RowBox[{"\[Alpha]", " ", "Degree"}]}]}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Alpha]", ",", "2", ",", "\"\\""}], "}"}], ",", "0", ",", "5"}], "}"}], ",", RowBox[{"SaveDefinitions", "\[Rule]", " ", "True"}]}], "]"}]], "Input", CellChangeTimes->{{3.578931707448408*^9, 3.578931730221932*^9}, { 3.5789318057839518`*^9, 3.5789318111843443`*^9}}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`\[Alpha]$$ = 2, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`\[Alpha]$$], 2, "ViewAngleDifference"}, 0, 5}}, Typeset`size$$ = {360., {170., 174.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`\[Alpha]$667$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`\[Alpha]$$ = 2}, "ControllerVariables" :> { Hold[$CellContext`\[Alpha]$$, $CellContext`\[Alpha]$667$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Anaglyph`Anaglyph[ Plot3D[ Sin[$CellContext`x $CellContext`y], {$CellContext`x, 0, 2 Pi}, {$CellContext`y, 0, 2 Pi}], $CellContext`ViewAngleDifference -> $CellContext`\[Alpha]$$ Degree], "Specifications" :> {{{$CellContext`\[Alpha]$$, 2, "ViewAngleDifference"}, 0, 5}}, "Options" :> {}, "DefaultOptions" :> {}], ImageSizeCache->{405., {214., 219.}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({Anaglyph`Anaglyph[ Pattern[Anaglyph`Private`graphics, Blank[Graphics3D]], OptionsPattern[]] := Block[{Anaglyph`Private`\[Alpha], Anaglyph`Private`isize, Anaglyph`Private`vp, Anaglyph`Private`vv, Anaglyph`Private`axis, Anaglyph`Private`gl, Anaglyph`Private`gr, Anaglyph`Private`il, Anaglyph`Private`ir, Anaglyph`Private`ils, Anaglyph`Private`finalimage, Anaglyph`Private`method}, Anaglyph`Private`\[Alpha] = OptionValue[Anaglyph`Private`ViewAngleDifference]; Anaglyph`Private`method = OptionValue[Method]; Anaglyph`Private`isize = OptionValue[ImageSize]; Anaglyph`Private`vp = ReplaceAll[ViewPoint, Options[Anaglyph`Private`graphics]]; If[Head[Anaglyph`Private`vp] == Symbol, Anaglyph`Private`vp = ReplaceAll[ViewPoint, Options[Graphics3D, ViewPoint]]]; Anaglyph`Private`vv = ReplaceAll[ViewVertical, Options[Anaglyph`Private`graphics]]; If[Head[Anaglyph`Private`vv] == Symbol, Anaglyph`Private`vv = ReplaceAll[ViewVertical, Options[Graphics3D, ViewVertical]]]; Anaglyph`Private`axis = Cross[Anaglyph`Private`vp, Cross[Anaglyph`Private`vv, Anaglyph`Private`vp]]; Anaglyph`Private`gl = Show[Anaglyph`Private`graphics, ViewPoint -> Dot[ RotationMatrix[-Anaglyph`Private`\[Alpha], Anaglyph`Private`axis], Anaglyph`Private`vp], ViewVertical -> Anaglyph`Private`axis, SphericalRegion -> True, ImageSize -> Anaglyph`Private`isize]; Anaglyph`Private`il = Image[Anaglyph`Private`gl]; Anaglyph`Private`gr = Show[Anaglyph`Private`graphics, ViewPoint -> Dot[ RotationMatrix[ Anaglyph`Private`\[Alpha], Anaglyph`Private`axis], Anaglyph`Private`vp], ViewVertical -> Anaglyph`Private`axis, SphericalRegion -> True, ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Anaglyph`Private`ir = Image[Anaglyph`Private`gr]; Which[Anaglyph`Private`method == "FullColor", Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ First[ ColorSeparate[Anaglyph`Private`il]]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null, Anaglyph`Private`method == "HalfColor", Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ ColorConvert[Anaglyph`Private`il, "Grayscale"]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null, Or[Anaglyph`Private`method == "Optimized", True], Anaglyph`Private`ils = ColorSeparate[Anaglyph`Private`il]; Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ ImageAdjust[ ImageAdd[ ImageMultiply[ Part[Anaglyph`Private`ils, 2], 0.7], ImageMultiply[ Part[Anaglyph`Private`ils, 3], 0.3]], {0, 0, 1.5}]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null]; Return[Anaglyph`Private`finalimage]; Null], Options[Anaglyph`Anaglyph] = { Anaglyph`Private`ViewAngleDifference -> 2 Degree, Method -> "Optimized", ImageSize -> Automatic}, TagSet[Anaglyph`Anaglyph, MessageName[Anaglyph`Anaglyph, "usage"], "Anaglyph generates an 3D image from a Graphics3D object that is \ suitable for viewing with 3D glasses."]}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{{3.5789317251774807`*^9, 3.5789317316725073`*^9}, 3.578931811602096*^9, 3.578933956906707*^9}] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["ImageSize", "Subsection", CellChangeTimes->{{3.578916494961371*^9, 3.578916495950592*^9}, { 3.578917015069993*^9, 3.5789170180437326`*^9}, {3.578917058828014*^9, 3.578917060154398*^9}}], Cell["\<\ This option controls the size of the produced image\[LongDash]useful for \ preparing print quality versions. \ \>", "Text", CellChangeTimes->{{3.578917062941134*^9, 3.578917063914485*^9}, { 3.5789315435839767`*^9, 3.578931561185275*^9}, {3.578931658410726*^9, 3.578931685418942*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Anaglyph", "[", RowBox[{ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Sin", "[", RowBox[{"x", " ", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}]}], "]"}], ",", RowBox[{"ImageSize", "\[Rule]", " ", "200"}]}], "]"}]], "Input", CellChangeTimes->{{3.5789315321327963`*^9, 3.578931546811981*^9}}], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsvXdUVNm37zvHffePN+544zfeGeO9+89Lo8+7vzdudyusqqJAMkUQRBRE pRUThi6zbWzjz9RmUQmScxKQICCgiEjOUZIkEcUs5ty2rjfn2rsKVFQ6nV/f c5hjW+7a7F21a+9Pzfldc8216qsFP7hr/xMArPuf8cF9/kbN2rXzN0/9z/jE dvP67xf8T7hyBv9V4T9a56M2aqM2aqM2aqM2aqM2aqM2aqM2aqM2aqM2aqM2 aqM2aqM2aqM2aqM2aqM2aqM2aqM2aqM2aqM2aqM2aqM2aqM2aqM2aqM2aqM2 aqM2aqM2av8m9pDz6//scxi1f0/Ww7kH5wmcv/lnn8mo/buxV5z/P5zX/rNP Y9T+ndlOzv83zmdyvkUwNmqj9ofYeM4XihUN54f+yecyav9+zIvzo2IlSKD1 gX28ZdRGbSRWKIIgmg/n297/EwiuNFqtRlr5tz+5Ufsf2aZyHsr5as7vDNlI M+kgUVotFyvSMsrYqP0qezpkHXRQcYkfCS29fcTYqI3aF02e8EurlVaGcjXM XGB6wHSYjdqofWx6qPRb9Fw5YbMR4AsTzQ1h7E88y1H7H8rk2Pc+EhJXzpx7 mpds9Coe+QSGmlHG/sObJKhgOAA0Yvty2/zpLvm79uVGpeT8hrkxBwEbZew/ jH0c+4aaO+frkKTjjbPW5W3dlR1VlD5CrobdTTPK2H8M+yJU+9yypglZldRe tGFTVuSZVKhL4iNAC74kxkYZ+x/Lnox4z2EFlf5PtExJ3xZwNqutBAmJbyvb tOtcWHoK1CZ+kStkZt227F8hxnSMfep8Ru2fa+c5NxjBbkMzVMOaK+d7hcNZ fzArpTp/y84sXD+Qmx6ckAw1CV/kCiak5V8ri2tLG4lnG2qaUcb+evaC8zWc f/2l3T4f+7jo0OmYkbop5DyytHVHanRBzuHAXIKsIQVOZUFV3OdpSat4gfvm XS2Laz81Upc1XNDUM8ZHGfun2l7k4UtcfR4qyY/tO1JW/vDOlsNZCbUUASHr FLSchtxsSTL5f1Y4TbLrOpzSizuc7SuPu5Q5UpE/q+Aze2pGGfvnWTbnBZz3 fZYrOZnw6ZsSzvnluWlbokqzrnTC0dNw4SwxVHAmSrAUIB598V95xKdc1uSZ BZt8K3CX7CvlcR2nR8iVvcB1JHsO9k4OZWwUsz/N1JxP53wi53/jfMdHf/2i oEIb4Hx/bnf586fgkwONNbkwaMH1J5PESlhl9JHKaCgNG5Yr+D4P99kQm1rc cA1XEjpzoC7qy2IM7eAtuFn/qzJjmqGMcT7K2J9kRZzncR7P+f/9UVHxFwUV F/UMl7WZkFADN/rLBULJl0sS8L+Lp0LRU9Uk+FXH4bMj5RHeNSegJORjWvCv h8WBq4OSY1qScSXxUhbURY+IK4DaW62/givcc8jOH5ZYjDL2R1v/R3FwJFCh KvM50wvP3raLW5x1oxkfo9rOhDZnBdSTo/KpiT9SEQll4UjOoZJgKAr6mBY3 18vbTxYRT94JoXUniKv6GKiPHQlX2zs6v5jveu+QbcP3KH3oxPgoY3+KfaaD Rm9+uMMlDunEVN79W6kA0V2FuB7akBJYeyJAuCmfsvAjpaHopoirokAoDPiY lmX+HeBTAbXnSIMV01FJVaFHG+I/zxXBtLU5u7ZLtDe/HDSlYxbv7IKa6s/v NcrYn2SfSXsO3QdO3cRbWgpAjbfeqvhLedGNqcRVbUJAdWxAZdQwXBUF8MLj QxnQK7F08XgoNwpqqsIBjjad+LwXwr/aAOw9VZGG4q0ufESZfObnvr4u90LH yJNjw9QijjL2620kKn0H7vPDEwkGdE9nr9WlifW4i+lRjSlhdYnUAKyOIa4q IrANKLgK1nEVyIe6LFL2z6Lv36Bm4CVBVmp4Yj0BefRiMpT6fQYAYBHLxPsm tJzwrQ78Miq4KwtatfBE8K+Jm9KBfFgnxkcZG5GNRFBxcX+wzdaC/93uLOir yO2+kHbpjOAqLbwhWRJIAVUxfiiryiN8kKuyMImrw0WBh4qDhoZC3HPTzoeH Cy9Ra7AjM6wxFv8PrAkjrhrjodT/c1yh1V/Chz3FYUerg76ICu5gaBd/ROce R3xR4ONzGL6gepSx4Wwknor2WTbwEOAKKpo7l+iHYXtLM7oKUtqpBia6KTWs PjG0LkHiyhe5qog8imK8LOwIKvaS4CMfSCzpBj/srYtpCsSV7txQ4al8xWaf 8gAoH0aMyWdCGYaCmO6XT3vzISd0JKjgDuNmZ0/RFC6tvjlSrnA3yxgYDi3J hndifJQx2UYqqDh/ilf52aOe+301N5sp091TmNJdkNx2OhrXG1PQWcn+qjrW pyICF2rklYZ6I1fFQYKrAD1X+Ke9BU+EIGvxLcmg/+sjZW9SFeyHjxXDNB7l k0GbfH4dwK2+8gTpkLJjX/iMAO4AGwB27ipv6Mob2XUBmJYJFucgOfmL+35y VMh/yDTsSNyUtNsAwCOAO3ipH99rvttT2l9P3TNdBUkdZ5Nbs1BZkVaqTQit T4Sq6AB0OCiuylGAAzorwVWgt8QVSSyS7rD7UVB4H8F5rfho/ulBriqO4wNx VTVMsks+Hwxq+O/6G5nDSj/i6ovtRwBT8RhWUDHCih3/FcUwIXVF1NMv7qw3 ogvgkwND/gMwNkJBhXYLoP8l73v+HFca7l5GZVXWV5V2tZpkVUtmSutpVFYk jWrjsTHoVyVagshVWSiUhVEoLA0Z5KokBLnCHebHX2t/druruigL1frpXJTT 4aiv6sIlCURcVX+ylQfsEO2U13Ne9m/Hodz3c2KM8zGk2w/ggzH+a3r+5VCI e6xIMMBHj4ipm/r5zatfvEr6A/Vn8slAKdm/R8ZG7qka8Nref9P1+HHj08eN 93rp6Z3ussulad0F1GVzMS2xLTuyPlFwFRdcHetXTVHxaGWkH+JUHo7S/TBK dz1XZaESV1D2CO52V14roa7E1LyA+sjIiwlQH3GU/uQn4mAAL/EZJj/POTkr 89xx4cW7OyqFi/P9jArikrgC+FbQaLfkAmT0jESPubCDzgBqgJl7crIujGyC E3xZD/pa8dZTH/zlC8Mn/8KM/SGFeR/sVghQjOz0P4LbN2rv9RTe7W2kANRc 1Fue1pZJwa8pJbo1K7KBsutBdfGBVZF+1aR1fSqjfEuDpVTDYXRcyFVpCKIF pRTdYO3tPQA13Y1wo5ZCYVOMbx01AwNqQoiTcn8ioNSXlwwT3STnYzYtfbzP Tf/Okvz6cFm3f77xiFxJ/63PWb7h3MXe8i98dvSobA+6ODN2FNThfptHVOwq shl+4BjBcxM/tcsXnBgfUQT5t7EBzk05/784t/rSniN0U9KeyEpD1eu83kfl AM3XLlddbyi4d6W8r5KU1ZXKtJb0mC6CIrQpJbIxObCGcPKvCPeviYXyUHRT PuSvwshfURwMOlwSTL6ohBJIZkUDmY8fYjSqud1c3EYxNEiIfP9KcmWHUGKV +mDQ4sXDcSURMqVoOsBGWWDBvhFwRaHQPcdr/7n1AEvx+/L5jy/tT5wcncHC FwAUxqR/6ZLhzodcme9OFgZ2Xyg2k+yTObG/huVw/k6s/AvnFz+928gFFYiL lF7K20oeXem6hTKm5koP9NXm9ddl9VVRWqGvOr01I7KVcu2hdXFRjSf9ZVkV 7o9xUOB0lPRV6NFSSrZDafDhkiAKVyVB4FU0N/8dddjcbaIbd+kUuio/kYPy qfAfyhV8giu6gfhvHoUz9HWyvyo5/JnPAmwH0ciOGbAYcoZrSj8fCr9m22T/ xo4ZsgglgCeu5yR99qoRVwbMx4oFaz/L+ccmS31piO5fhiu9/X+cv/7En0YO FRre3fYUDl3vii/c62u+Wni3owgvWm917uULGX01xFVHXnrr6cjGpHhcr42N akr1r4oU4S8ioDICKsIp014edhRDYVmoN3XoUCj0E6ULyhlX6X4NEBXUodiV i4LMv4a4OoL+qjpIBEHB1XB352v0JMzPkJ01/uGOO0Io3f2yo7zEe/giHHHD v2b/oN1URywsQ9V0ov2LPuvf1Gyr7BiJqyiV9C52Nz5z0cjFsYMG7BhjgUZI rnT+XzTpM+KiuzV/tYGTdZzP+sSfpNj3+X5kveEFRRXenv5yoPsFPHvSUtPd cLUZJXpedxV0n0vtLkhqp7RATFtOeMOJ0JYMSVn5Vwt/VRUZUB4GlRGIkHdF uA96p/Iw5OpoeZjElbeMwXPCpq8AuUq8nB+HGqkmCKGixmB1sCSuhlVNoO9S ZBfMAJbXv9JFQuCI1ue42kFcjPefBGCNaxvK57c++NR9F/tvlV52LPMxZNEy V463PoOK4OqwATtqyI4r6QwTgZ3igVFfuNz4guvD9Fz91WYVwDi4gvNfPto+ ckEl2SaAtoTXMU/eoYO6WXen89FNGOgt7aw7f7WchkB05iZdyk5oz6bY03o6 rCEhuJ48VmBNtD/qq0rquPFDcVUZCWUhR0hiEVdHpZhYHEiZB7R1z6al38tH dK+XQesJeqnaUKgNQa4oYlYcJ67KBFeSbh/aT63nyqzUEh8bHwY3n03To/Vp rr5hu0F9YAzGKTo2HBafWRp50fcTlAxyxQ6OZb6MxaL/gXE14NjvufD58AGO dt45RsRBxvwUMlcnOcv8whXHV9sVDvp5Lf5iXB3i/K5YGaqvflXs49It23gf 0h4P9D/rf3IfA1Xz3a7KWxfhanVu7wVyTJeyE9tOxbSmU8xrTAytjw+uo049 dFb+tbF+ldQ080GuKsKhLFjmqiyEtBZKd9RXZSFjAayCri++8TLx3qVOgIK2 REqYN4i+5iqRfyj3I59W7k+LlGf4mCvmg3g4L2+C923YxiNBglzRUT99y/aO pZVAExY9cVnenpxLjR9fBBFqUV+JNzpggFxJr25Ra+94eZ720fph6aU8xs6x 7CcD5m/AxAdhEWqWZMtSufWZz13xcYfg/clS/jpc7eL8v4jZPv9FrEv2a6Ga ynlY6PPsjrcX8+9D6927T2713O+6iJ6jvwKuFOZ052V0nKaWW0tqzMXkyEbq r0GogmpjAuriBVqRvnquykN1XAWjYsdHagmWBpN/sCmA1Y/2d70IvNZJXHWc 0lNxpIKyVkfKfSkaVgb4CpfFS99LeIJMSBA6BC9c2Vxlk9e7ZwRcEVpsxzds n0iQBmFoU7IUN6H3Pj7ka7ZJ0mNj2H7kRCG9uk39ROeOOYvvbZDe64Oj6PWR q10GKLHoLQKULNiIpajZCTqrvZXDX3TcU6udLl5OwumvJq4+MKkqT/9F+PL+ 4gqXAzwEePHk9ZNnj+DxtfaBSxdv1lHDqbcgu/tMqsxVSszFpHCZq5igmigk CtcRKt+KMKiglqBPeYgUB4+WhRBXZSEi20lBUKEttjv6Eldi7ndD7zl68fow 6b55I1cVfkfKfKDCn0JnqQ9d74akD7gSWjoStfcClg22V1x+6poHkPB5rtgW 6b7rmngBxBUARbeQkg8oEftv1nG1F50PcaXIANvqKZNaZy++vmG495JC7bfk r3YJroKV7LiKhalZHJ7qJr04//i6a7ULRGNQsr8yV79KUEn7L9/wJCWL323j D1/zOwC3ng3cfHgZ7rXV3qguAsjtPQ9dOSmD/gq5SiDfhP5qkKswn4pQqAiV uSoXXKHjQq5EOguFluxWdj5wO38XLzV0k/6Pqg8LwD0R7Ep/5EpILP8j1LF4 jG5f3WAiSC+uDGzisGEOdilqx5rZW17N7eiRKuR50cEPPtp/HyKWvma7dFwd H+Rq2vnN2WUfcbVF2vFb4iqQRLs608qmZKpb4xyA9QTDS/B6NvQQsfOeb2j/ nwRXYSoEEo9lJ6j5yeLAKmYY7LVa9Tz6zv3Fufq1Kl0+yrM/MfEFXOO3Xvzy 4tXLh6+eX8GPOtAB99rhehVVhCNXndnJHadT2tJIZl9MDG+ID28gJxFUGxUg uPKT/RUhdJT8VfCRsmDhdoJxnfR8mcilszLjea3YIqM711dcdzE2vi7Uj7AU 4wsrJdHuQ6FQioM1kbxcLjGVlA+IjKUd3euTymlZmq335uiGkn2casAn/134 H+FPiKsxeq5IV2cByxu3+9y6Ift/rdsfOfmW7TNgIYSfWZadVb7r1No5UgJB ew88BnY7yvNf6rja9y3bj6GWyGcBBuSyfJTCtaKDBRYFs2N44pA8PEYTtkvD ftIMHcrx1+Pq1woqyTys2/Dul3Xxjsf81sNn8OwBPL9HbuluK9xpQq6gN58S 7J2noSMzqVXiKom4aiSuglFfIVfVEf56lyX8lU+ZjJN+BeERX+RqY4Dx8ffh 9pUUgPMXY2UnVkniCl2W4OqYkO5+R6tDoDKEVwbqufoGwxPbI9jwQ5/AbHLw rrlF3A3Vx6YPRL4ORSlOAds3lm76cUMAkQrIAHZm3LhztuGFYbpDBFebBCeo 8/cbMvrWqCwyJljmOE8rnye91ryrGyf1b7S9ulJX84Mu7lu2A9uDkks0ZHsM yGVhW9JfvFEIxsRJxqHgHTWYraLtOzV4Vn9hrn4bVPhN2b7/bVoVb+7l8JTD C/702WP8mDextYetf3GJ8gCQq7TO0ynt6dAm2vSCq7AGkusosQJqIqEq3J96 YcIQraGhcJAr4awM2EnluMpxAK4n3sKjF3CloLZFjC+sDYZqcjneUhws8yGu Ko77VolC0MYTeq7GsJ3UrBNcGbBQGY/dtVD55pAerSHXRM8V6iUh+PcBOypx hWbE0oBlmyBasws8ABIHRfsWwdWuMeyA1Bg0MUt2ME93mnoB/RVM7QWPzrVO PSusOrQ6aPEQbEKibpd6fxgJ+GDGjjOpa0DIeCULnPld7FFdqkq8xQ7NEKr+ asn2X5X2HDwKYPnKO8Gn+fkGjkHwBcB9jH4A1x/3wf1LtQPtKKqLrpejv8rp zkkRlyuuPT3uIpUuQEN8cAO5muD62IAaDIXUuxeAXFWFI1cYwPzQcVVF+lMH TTSUh0ZVCHHFkpWiQkAy/2tV8pqUYajwPVLuA+W+uHgL9Z5fSZWkvKeEi4uP y7fkdvRchSAeCtVpWN04Pq5H21AhDb4YellAtAQlrnTiylvPlYqlAMs0Ztnj RMHDCnHw12yjpMe+oXzUQeJWFWQ5LkZjmexkXzqLuGpe7NK0zPHSfNPGuYPO cCse9Y2U1advEPqrfWNZkHBWKOD9FSS3AqzNgzYKrsSZbNVYiKaE7oT/Olz9 NkElHzu1DcI4VMjy4PnLnwmtp7f6HvXB3aaqO42F6KyunIcr59M7s0ixt6bE AaCTQsUe2RgP9THQQL18QbXRMlfotTAmVoYhTpEIUnVkYAVpcqiMiBa9PMBO 4XU2X30dAp5OqH9yAIEawtVhUe4CIttAXAGcFTV+vKtA5kq6gzIexwyk6j6W BJML1DsuzDr/YBeSX3lc/wG/lSPUJvG4HeS25GE6kCVInKtZOnJugot7HiQ2 giSu2LZvRF5iLCNRDcaB5iahljbxE5ApfOpeMd+u0mt8y0wAD5aPGzSLTn0j Ul5yzGVHv2H7mfBdIkHqbUgtUIyJfoz5TtXKTk7DtpqILJn+hP8iQfC3xT75 WE3f+p94WDpdeVRWj579Ak8fP39xHxuDl++3t9yugxvlhf2iOOpyXmpHBoar hLaU6Jbk6OYkqTAlGECuLK+L8Ueuasg70YrgKqoyHCrD86oiKJJVR0VVR42h axtPbSvnRjg0MKXq7WqA5I6Mi7Uh0st4C4mF0j1QZLFwNUfi6tJZXhuh9zw6 t3NUx1UCsDSjJbWWIU2rkOeyY4m6iyMHQcHVN6IfR3B1UKRGRQqdnaAUk1Ts x1JhS96ckrvx4l4LrrYbMHFKRsdM1MfNNVFO0lu7nJ+tKfGwq8fQ6UoHZpib kQ//tl4angtj2U/fsMOGbLeBfKr7sVHJ2BFD5mOo1VqzQa6+/utx9bugEnMU 7xOfrhyg/zG/+/O7J69fw/O7Nx/3dqFov10N/SWFffnIVUZ3NnScSmxPIznV nIRohTeSmwqujw6uj5EAQ6gkroIQJEIrHN1TIKJVn4DstXSeh5oYYIGG0vfX q9FkQd/C4pezUbaBzqqOH6mSWnVi6ESFHwKZJXHVlsUbYvRE6f3VWPG/guEr J6smnFNv7MS7vLZRBMNhuWJ7qT3IDgiuwkSEilOxJLUUmlkyuOdaRF/a0twK kh5j2+RwqTygVh0xGRdBjVCbM1NsT0+3KZhsXTYNwFECksUZL8qEnAbp1AzY 9m/ZUcpRyKd6QHRGHzHQag3or8SVRmQ//mpcSWnP3wzV9GmP1x/4BT9Reguv e8j7Uai/fnXrxcNHz27BoyudKNpvVVZeLwHBVXpXFlxKT2hPFVwlRl48oeMq JrguGupjg3XNfIFHeGBtDD5GCsag9RTFvysV4vIGivYgNu0rjDf3WACsvMyX i4No+L3krMop/FGSocIfuUqrPH60jqaggYFr0st/w3bpAUMnIB6xCZ+gZCno f9Q577ziqSc6+6PGIB0lWl5j2H7Blb+Q09ShbCRiopqdQDzUP56b6dMf3UJ1 MnqxZMh2KpT71FKHtXXaRItUF+uzE83y3cXYWArELFrtGD85oRGC79eKmDuW clmy5hfFM4jWUYkrYFo9VH8drn6PoJLM0erq4h9+ps9byKH3Xc1tfu3pu6cA d54N3Hp89frDTrjXghen8nopXMk/25ND3/9LaRgE40XbLfJigsRVaENscF1U qHBZAXXRwdXhUBcdpqOLVlBrNadCTYz+zgqZnQ6KIjVrHSfloDp7pT+dlf4T EksqcQ8Sbc+MWhF1716GsErB1U/YHsSVsVKOiG5TFGOxiAdF2LkdcKAb8ur2 ihkIQdeD87XM5E6ZSeGssL0GorBKxeIFV3GIh5FLluX2VpTWYUTgLumkxlBA 3CE3N6xjxpsl2lqedjLOcpa/JvFqFmHEQnCH5cc6G1Mqvxb7i+bnLnE4thT2 jEWoRBePRvgrwdU/UMgNLYb/Y0X7yAd7/J7YJ5k5fiRPGjWAjeqoKp5zjcPN N3D/5ycv3+DW+4+u9N9vg3vNyFXptaL8vnzoyUauUi+lQXtKQmtSNB7YFB/W FB8qAhNyhdGQGKiLCa6JgNqoMGJsEKShJgUFBcYs53wjM+IKfJ9CN199rSFP v5PwWhJXAc0kWm7WChF3q/Xr3Cuyz2F7USOJFBYqlgCEQUqeU1ybUgU7ityX 31lb2uLNeYLuVT/iKpIgZAGMhQldfUI8jTZiESqzOOXaaoynOxY3t+gPp47F HbLzGRekMY3RWKSPV5y0paPSgMWoWaiKBeJLTdteAcGn0tyLUJuJM9wDbOe3 wlMJuigEa+TX/CgI/r47O9T6OHfhPEr8mu0X7fdDRb7O8Z706w/e6Tymiudd 4w2P3vU9fPnkyTN4fp+Gxw+0dNypg5uVxQD5feeh+zTGQWoMtqfE67lqjB3k qo5KESgm1kYiV8GUKY2GutiwurgsgBQ9MKgu5JVEldSBYncJIu/YZ77e2nET 7zc2q8rRWUkJh0p/bIr6NtC7rUgS0/35J+nFlQBD6j7GO3UMWLAhhapo9Buq 8dlge9F+Xfu8cw3z8TNOiS7QcTWWHSOuhAMxQBdHh/sZUqIpBAOZkg6PULFI JQtFPKwtq5b/UATpaVDUJHEldBphOc7IZ5xJuJV5sh2LtRAfRzirYCVSCmC7 DDHL85+TEyY8qvi8O78lT7WP4i87qBlkdauUzdDfnd/G1bC/gIxQxYmVyZx/ vkxHjn2/j2cw7pkpPtS2QI7xBoNZLkDDU37tJYeXL188uwePLqPWgts12BhE cZV3JS8L/VVXBnHVlhzXmhzTTN3N4Y2xYUO5QgEv1iWuwmqjYxoTEK1M5Krh BPQUwMU0kY0MYnT7ZK7UM5vAsWe87+PJha9XdVOhTMGguPI7TxEwFG43+zYV QmcuJDfrCZW5Ei5rLPMBUcciGoYxSlUyWJUbby0d//31uQAHAKIpEYqK/R9j 2GGd4D/CWLAIoJSpIK4oFEYAC1WyCIVoWTCzC7AxHb4rnp/ZtbvoAbKh58pI ddjYOMjcNF5DoTMR25VqyqUHKEQK1JAaEdmblpzcMSlrelSHCIU7x2i136Kn Ev01Y/9QrvI4/1/f3yJ5qv+dcwfxdJVYPskD/8KUQSMx/AhujgPkrHbwneHc 5wyPa+S513mN+JgDAE/FI3mmW1V1JNppcF5GTzZ0pqOuSmxLRrRiWk4gAOFN cTSXQoMOpzrhplDD15Lcwh2Iq/o45CqzKQm6zulcVrAho1SqktEoZ7V5BUy9 NH7TDc3xn7dgO07PTQXRJUVGr5u1ac15sKYeiq+9xxW92uGxxJUvUFIoQLgs FPDRSsszKlaAAnt23h3r7BfAdldJ4U8MHhR4+DDmM1Zyd/QYZkjSPZRqb1go k7iyPgUsxWFR4bzCDssDV3eJrgfh7nYaKPap1H6mJpGk4dlJVHdqFqikc/A3 JOcZPhFgHoCFe4ZnajedJ3UC7vyG6pN3k7PSJRnIB/4RcfBv7z91E54KN9oL T7Vd/D7RMDD8bpWufx1Hi2vkrJa/27yP74ogrqKaeIYE0vO3eNsePrn76GHf dbGltr+4sE/w0J0FHelJHWmkVVqTJK5AcCW7rPrBUBhKjMVEI1cN8dAQn9mc QmUwnYPqib7OxBXejlNqdgG+vzjOqXMChsTwtwurSM6gRr8oJFaOlHO4LqYA PH3j68EIuPtbeUVKF/gJAe8nXjwchZPCIV7Jzkj58wniTfeKzNU3TJr/G1H0 V7ADuhblUQx/jDxPEFC3S7Dc7eKIiCZp1hbMnZLltLIHQQ+Mr6KYznZ9y3Yp VEeNlQEm9DRVLeoWGPM1lF8t0JooDbOYm410zdZqA2SJdUgjdxPoudo5VLTz P4irf+W8QcztOVN4qkWcLx8OBv6b3utjw2/KFKf7MPv1mh847OMQxSFHpK+v crjP4dm7vidP0Fk9edB7815b5w1qeRXhv8s5BF5HGlxKEVwlxrQkRjXTalhj jDT9S2h9dHi97LJCKe1AXMWhv2pKzGpOoXR6F3E1VtwvRgKGGl8qyvmcVbNi tXu7PYD50l9WJD6Dq31QfkyWWMXhMJzp8wzof4TE8hEZIX/BFcayMAWLVrAM 9Dnq6RWeIXdhzQA2KlIFkCCzFGgo1sVdPmKA+9MKshFqSC7ruJBe2FSMt96R b6TJmIZN4BkXl7oXCie5C0/AQHnQSE6ko7jCQ3wNma84DYrhBjNzVSzEdvkZ 9FR4bCIF4p0atpeqI973V8C2v9cY/E33+m8fPe3nfL1QVk5iyX1/hz9EUMkv BTDRvJ86thb8Amv55r18dygXNZk8oZ3n3uCVTzk8/Rke3cdtd++09NyoasAb 25efK+ZMS5W4aj+JeiyqFbmKF1zFRjbFiZW4MBTYjXHoicLrZa4SkKvm5NyW VOKqJ1/ckSApxyhxZYQuyzRLzc6r57biF99Bh81igF3SIB0x7AsupQ7LFWU4 2X5ZugsqhFLCWBaiYGHMnLgymlsB/jeMZ11bM603Ov32GoDdgi4DFjJWJCu+ lbBksSJBimyEG1Bz1U+wdxwU0cw2RuWU7YXnrDm/gOXBnr5ZTQN4AmMUe+Rh FCzWiPkzko4S3t4UnUnyBcGmcwqtdqHEMxXD7NKpO5FkkPqV2K7fn2T4gCu1 GD7TLwaTOoifsn2PhN/6Lh8bvpS9USeMH4CZr5cArBaFT3t1w6MQhvQbvOAB b3j85vKD+3cHrsLt1ivXq5uv0r3N7aG6O/L/l05CWxJhhHGwOV6EQsFVI6mp sIZYaIzFlWhaiUtsjEcaMpuToVVk0y+LNpm49WIlgW46S0YBY8TOUK7bvg2c r4L7rZnH+qfnd3iiAKwJlr1Ve4rbwz59PzVItS4g6fb9UuXAWPQS4sUNWSBy hTpcOMZE5ZJK8L5i7dCx3aQOP+ysoiYvASTurFNoP31LnddxIsngayCEFiPB hrD5gHWkIQtRTj67EsCMpS1ndClss+96Vp2Ppt1EvyELV9FonSMyV7TlELZQ UO/t12rxNOiXp9gODds9BiXWh1xt+8O5+kV4qiixjp5q6DBa+INUut40rAnM r3uKz7RU+8u6dW+37+D0nY/nR8/y4DpK8mBLvvThm8aHz3ru0dR5cL0G+i7Q Sk92RhcNlhftwSSKfy0JGAcll4VchQmXhTI+Holqisetcc1JcDEpEaCs7VRx x5mj3fLMHAYiUgBJoESRisSWVLKR1DCc0A4WTWDc5brslkPKz5MAliGiuHMm TdemvtNscPOJ8C0/faPLmZOz0nElYpmAlpRziIEccONgRTn82OZkWr3FqBAb BRM337SLGUBVFsOO6Lja8y0V+Em5LH8DAaShpNbQBbmEYwPWZFo+o0wm5YZt 3QpQs02acgtbMTlCUAmpj+9O6Q4DGfKDIPXXOISYiu+vhuIdvpFcAv2VnBTF ePoHJBmwPfifONdPovRfOa/k3JnzhPc9FQx5/RHWpX/e6JOoe6gLfvLThZ4v Vyz9eeP6t9Rb5s33RvBD6dyviEc385SrHENe6b2ncPdW363OO0jWlSLoJV2U 0ZkhtQeh/aQ0JmsIV7E0UweuNCcmNsZBWxoGvGRU6a2p+ZW52NS5UnMWrjVJ d98QPYPgiomuZ1GrmSRxBZZlalU5GDWaTOu0DXsyHmBq1RNKu5/NotsZVQy+ l6SbImQVJdsJKtRXeBPpNb3Hij5oEcsCpc5oQ+NYQ20heNVONT6zHmCuZb7t yk5zv1bILtnO9obruBpDqY9gBTsMInWvYD7SVwCk0MYCbGcV4qtNZDS4w4hF GltfgJk0qDbaN2NHdh9lwKiPBk9gCFda7Vh7wttB6gckrn6SRgMN4eqnoeKK /0FJUX2C/fkHGAhP9Uf9pja9mqIFoZqBn8Tt2aJ5L1ct+xm/ues3c9jDd/nz /QncO5sHlnF0DqRj7nHU6+03qUl4BZtxl0U7rvNUakd6ghiYkNAmavAwDuq4 ikau8BHVaVM8tKXiAWkdufGXMqAxF+/QzJ4yCD4ntdrkkicWyUSXnIIlUXk5 SxT3KwtU5eaqinFWtajhbRY/sTr5EtrfLi9Kiwy91FB/DXS5BVn66rgSKwel hAMpIopl/nKRg3UceJ1jE4unKk+uwoahIt3cqw5+KrCb0rQ67v5e8SsVWVQf FaIg5pGrIKHQjgmujgkfSOV/BtbRhlJtDItUo7O1yFFpL28EmDar9Ej4AMTd CKUBhod1YOPJHBij1Y6ZEoFPp4l+wK+Iqx36IKjjaveHQZD/aZVXusI8/VCy 3wkYsAZ39RWCasJDL49ni+e/XL7oDV7k9es5/IPvOsL3hvD9SdyHfgyCQydP ufku7/YbVNodV9t6ELDuvOaeMxgiU1A8t59MaKdgmCBzFSehFX0xHi7G48bE liRoTTl7KeMs7n+1CtpzMUAuu9UIKRUw2JGHQSdKQWntaKnrROrwVaE3MCpR K86bsiIrgHEr+s1O3obgF0vO3QmLafYRg6/Pylz9JO6OcFbynTo0Rk5k+YBw ifJ7WUWBZzYzyXVl0djet2QnVe5ngOWPm3bZK/k1SqbJAEHsYLtc1XBkrCg9 lToFdFwdGasOEk8jJoqQp8Z2gWmqYl2nGUtwW1ARFv8ANnZuiTidRlyJ3gRE nfpr9o8Z0g8ocSV/NXRcUeuD7f2juPpMP+BDqdp5aMTV2W8DDF9pilH3DIsb s3HN5fGiGc+0s16hblm1mMNqvu1HDrs5HBPveZLDeQ51HC5z6HtZcO1BXX9/ y+UadFnXO2kmBhBcEUbtyQltoliUuIqTuIpuETP5t6XmtJ6E7jPtGDqvNyb2 nE0tEkUjBS2CKykIBhiyGIVU2UI4xYnHROJKkWPEcs0xaFvWjFvTOs6lDWYP LN7+dvqp5nkFl3cLtIR32iMeDwzlaiwusnr30+ccDMaFwLRTSmXcBBYzUYRd FVUd5Bp53p4oUlvYOk4iNyVVGx6TnZVoXVItH0mmw2MtQg1ECY0BZbcowaUw jkO5ZczinJdXQcw9I23D6lkns4OvBEiiXYaK+gIotS6lFOQ+ICkUylx9S8mr Pb+Xq19+GaYf8OVLLnJW/wfn/yfnXVJt6mcTCyMHDE/XFcOf+XXKLTgMLHJ9 vMj9uXaGmMpgKYcfOKzhm7fwrQf4dmx9h3FI5X4FPLCJx/Rw6H0FV6nEHcRU H/1donuuLTmeJmRIimlPjpNuqPBX6LVikKuWExggs4mr3DaAhv7azJuNUNUI J29JqkNqLlH9FYtR0h2MFURJufd4pSId0J+wHBO8ieMKTdQlYNxsMeO+leii ndfzhmrNzanIq1GOfYNcjR2GK5EoUB6HySeRB3sWYyZkvBGVK2Sq5j82cm3E N1qqrgPvq1B7m+rV5TbFEQPh+sSKt4hu3jQ6m7b4KCijFWioEgl5Zdyk9bUQ edt6eulWq+yUQ62LADZRXv2AgGrft+zAR1ztlsTVEH/10+/iqr6ef/2129B+ wLt3+dq1PC/vybZttpw3yygMDpH74rxtnwdMqtf1MO2fZX1rngiCMOkxuD+D GeSvYAn97PI6MQgOdcJmADFcHPZnc+8i7lfDo7o4OgeRDr0IrfJvKLW0JUNr YrTkslrJeVBWoTkB/Y7gKhFjZHZ7KnTntPTmo6PrenR7981uOHtX3C8UKlLr KVia8MdQVKSAVITAYlWKk1SYx7JVlPfOMmbnwahZPfW+VEjjBUNMcEXFDHI9 wyE9VxTLBMC6TKkfmEUbsEAbFiOyB9FGwjWJpmgaVYcqStw3NEFcvePpcxuZ P41loyk7jui4OixeWYqw2IbFlw02oPYmfRBD84SZ/2iAI5ed7M4cYEnYxHBD DabVhuLpEVT7NHJuTfuV4Ap0pRR6rgiq36+v/tt/k7LrXOoH/PFHXlCA61Xr 1hlUVf1nkWzXD1B6Lw6ODLBhoDK5Msvq5jy7e+D0AJwfLp70aLFIOUoT6a9c 9Gbl4jerV7xFujb84y0GxK2+5Lj2iI5a6rNAr9WHjcSXSFWZVHQHUCtx1ZoY J9R7VItchJLQkpjQSltyOjIKurPhajFV4Ty8AQ+lzkbhrBg17wwpuUTVAiKh HYWLHBNZnJIqCtIEV+lqJtILACbW4jdKPG/POfAUil7ObH+xke1HkpsFV2Nl rg6PlZ2Mt46rYxR2Rb8hai1zmSsqY1apUxVG4rQVZYsUZ9Vzi2BLlsYn1uvs aTw/f3o1Xb+hjivRte0n/FUAfTskaO2SYGutYmvzVGWqN4vfij5Nq3Vi+4GW vRoxivDb97n6WscVbhR/2vthY/A3cPX3v0vZdS71A9ra8suX6YmvLy51nP8v nLcN9Vcf24jd1yTOUajPsrwBtnel24o4LcHF/Qk+wqxXS2e/XD7v5YoFr1HA r13xy4Y1HDbyDbv5Fm++I4Cjs953hh+tJDixMZ7Q/TCroaCoJRWlUk9LIiBR rSeiRII0piUhrlVSPZDedhLaU1Bal/bkwNUiuEXjw9SvfzGUufLXifYwxgJ1 JZQRSsGVKFCJFVwlCq6ILjBvADfKpDkpy+dN7XHd2w+B1119nq3MvBxMAByM YYfS6Y4f/oArkPtTpNymLzXoWLRIIFCZodIqkzHK6ToqzioVp9Q2KTA/zvJg 9MTMCgxkS9iB3UKbicQFQkUuUXDlLVqaSOkxmSuXk7Cpmi2rmMcSD7HoRVqt mmlFuNwnuNpLA1T1XMnlWx9wdeAPEO1//7uUXedSP+Df/84HBuhJVBRfRVUM U6ROHJ2/+mTmaiTuCzWJxXXQ3JGKrNBTLZ30kBa8btOfwvQnS757utTz+fK5 L7FNtHbRz7D0l9U//LJm3dsN296ijNnqw7eHckiilKlvNQ8So28ymun3IMqR q5YTNBVa6wnJZcW1nkhqTZIjlBgRT9nUayXlty/KnkrmSoyyIa7CFVJvDjkr XI9mxFUUiKHHCvRaouYT4xRoqmBCF7qsCaxg1sRGu+0t4Nbq4H5r8fqXS0S1 wAp2CEGJH8qVLLGkIOgj5cwFV1G6HsBgBZVaUS/zOEWaApuiqnjLWTHjdkeO S+mcsKFxoXDX6O4CZWd1aIw8OBrlvS9lqCigk8I3mJ4GGyrYzPxlLO6AVutG DVutGIUhQbVX5Nm0eq6+oXqGD7ja/4dwNTS7nuvpyXt6aKKqgwf5MZrN3kva 7eM4+GsAm4rHqi6C+fVFNrc1QvFqEKrJj5ZNfkgLcjXlIUx9tMTj8VLPZ8vn vkCuVs57DoterFz+csWK16vXvkbFtf7AzxsPcgji+07wvWfeHSqR0ZJiXn5z QlV7cntLQp9oFSa0JSUJwNI7T0nlc30Ar8XQLervS9DNpTDIVSiTuQpXku+K Ef4qkooQWKxC9NMpWTIoU8C6xMimDrkaz864TSikKdTMGyzdb0wAsPC5537m zrJa8fOX7HA++RZvHVfe0iCdsdSyO6bjKsJAVFUBjYjBNl24CIv4duQnx02L Um2jufgc7PLnslLv+S1wYkCb30vOaghX6KzGShktqePAIwXWlpo5nlrKorZq tdb0XdAqKLGwV+irD7mSg+Cf4K/69dn1t295UBCK9v/K+cxVqzR1dVn6ij4h sT7nrz4NGOiU1RIxI+uSiY8o6rk+1rg+0rg+XOb6ADfClPvaqQ+0Ho+WeD5B zJZ5Pl7m+Qi8Hi9d/HTJ98+XL325GmD1P17A5neb9vGtwW+2Jvy87QQ/RKNN uf8lenGEKaflRCFAZeuJxrbElvbkpPaT0HkKRf559FdXC9sB7t58sOXVU7jH FdtbQaga3WisAENqDwYJcRWqoMR7rI6rCAXltaSnicASjCwLVOMu4O22ZZn2 VEB+zsSqTu1+DZW85eauab6tS9KaIevWXnbYh3lHM+90ObZ6S3kkkSjwId8i +ndEDiEQqGIZzyFUVGqFCK6iVJMilBuykGc7dnoWKz4wrRKCrljEVU04lbUX IE/O5x8eQ/4K6TomJNwxg6lJ8EORg3G8VqtdLHysQk6t70FHJHElpRSEvtr9 tegr/0olPaU9B4fSa7XyWIlfyxW2B//Lf+ElJVzKriuVvKODr179tLDwnb// 3aF7jtxfDT1ILEtEjmKFVrvS6cFK54fLBVTL3B4vd3u03O0h+a7J9zRuA4vc 7y/0eKid8QgxW+xxH6YPaGffX+T1cNHcxwTkqidL1zyDlb+s2fJ6rffztT6v 6Fc/It/uyXwDRb8cqOSBLTxO9BVmtCXmtiXmA9RcSoUOuquorBqvFsCtGso+ pD+DC0/lvjZ9QKRi8kBdEAxGIc1EzkFJxS3IVaTQ8IliMGCckdkZFcvEv9qw NBOWDixXralRu/ViO85mRoXHpoq5CfX2QXfm+v6yjh0JZt4YEwMpWhFXY9/j yl/HVQC5SnJfIUO4imCOYcrvqPjBmp2ewwrAMV+9o9r8cJa1mFkoSKTlvSn1 elRwdXSsVAzjdsJgRYGTVruIBU2hj6Blcmp9j95fDeVKqsHQPR3ClbDBn5z+ PSbSVmSvXn2EyKC/GqHXknZbiW5Q3L61kx6t1WpXI12ImdvjFVNwebTCjZzV 0sl3wfWuxv2eZvp9zTQqcV/gfgfcby+YcWfBzHvzZw4sAFi4eGDRoifw/bMl q54u2flw2dYXKwDWeb/aEP0CTvy8NeXdvtw3R4tf+dc9DxO5LAqBHaktneml vWdR2F++UXnlTiMMiJ7rqLeSCzGUKqNEsYGhzFW44CoSJbSACoVWhFylKUZa YXhSjctUshTkyoKlqakIMEttX6WeTIpLY3du+upiiKiy3HbPZeWdFbEPvIUu 2skOp1IclLINeq7kDDzgabBAMZNeiNgSgm9N7QibYOndLdhpD5YHZunG2tPm InG6bMqdLfNvbwjrA1liHR4rv/hhcIkbq9U6spAFYuQXQSWn1vd+wBWJK3N/ qQbjK86lOAhCpehvoobzoW1D/uwZv3//12I1bMp9cOOvcVkg+qxRua0Td3CD +9MNU5+tc3+21o1GP6wSdKEHW+52n4Lg5NuLXW8vdL+LOC2Ycos8mNsNXLym 4nLTa9rNuaiHZ9/2mnUP5gx4LRhYsPw+NpEW/fBkydanSw8+hSOvVvm/WR/x emvSC/zuHWj65UjdLWg/mQqQ3ZWR2XsmBWXY7bqBB72HBu5Mus7VctlbsKiX CxCAobsQJVWkskKY3BgMpzlhdFxRCQ2lHaJVximULwUwxeYhSwJsu9mWGTm3 qJX5DmY5U5ech901xtrL42d0YBjaHHBxTUKpNqMB/VUQO0JZKnIvvgaSxJIy 8OSpAkUCKlTiCt+X5uUwwjMJw3c3YacZywEWjy7RXCS45ky9M2dKB+xuhISS tcQtQustVNxhmBCNXDmwgPnitDU6WmSodJ2YMlfWod9IPc7IFXWuyf7qvSSk xNWtW3zbNl5YyH/5eJrYT9qwQ28+3KhzWSOBajvn27AFh/tPe4ZNuS0zXmz+ 7sXG6c9pNjn3J2umPVk59dEK9wfLtdplIkounnxzkevNBZNv4NXwmnQNF5h0 VTNZLK5XZ+OVdO+Hqf3zpt+Y43Fz3qzbXujT5g8sWHofVj9asuHpsm0vl+19 Sd2Lie82ZfDtOY/g3BXvwsbA7szg3lwU9ufv1Nc8ubHz5Us4OwDf9cqVb5K2 kfyV/BydFaIVLbgKowoHXR6AsThJ9igVqKvjRWRMoYoaozS1psjIvtqIZdkp M6Z4nYHFdeopNRqHyvlCUs6UxrMDyLWYg/7qmC7tECAmpPITZTDHBVfBYmx7 IJMVVxZjlAw2YXFm7CQ27uwnXwLHqnHLLsCuU0t8Ixdvq/GW5g1ArrTaMWbh dqhYRZpUoxvCLIsryV/puTL1A7bn/9VzpbvLEkuDzurnn7m1Ne/uHjlRkrm9 fPnx0Bs5D//smbxxZP4Kd9jHOQrLvdMe7Z5BcyrumPN6++zX2zxfbRFPYdoT mPYYpj4EdyoBBdfbMPmmPC2kNOmESx+4XKFlYi+40MhQzaRezeRecL0Cbn3g fg2minEKM26B522Yew8WPFysfbpo5Ut0fSt3vV135B0cf7457tmOc3xfNT/c V+h/vTQcIOVhf+bAzwlhP6ulAhg5ugVLdBnKGdFgchGCKwVVeEYM4SqGoKLm oZQyTVZQ+V+CkfqkkfV50U+drmFprjOyYHKZ2jLPQszVP8W02n5SB6y7C/94 BHFPZgppFCwSpDpp50vlCoSTxJW/4Ard13FpwIUBizNkGUyM5jBh0SYsib4U E8pVVmfNJqcCy/Y0LnFbc3mNPFOfFuxCx7DjtqTKfOVxW7J2OiC42g/61h82 DFWHpSzoV3p5o4dq6KxKMTHc0JD/4x88PJwYG4mJjpt/zctrQC83dOjNsWP/ amraYG7Ob96UN46gSYh/OioVVi18BfNfg9cbWCCWeT/DnNcChuebPJ6sm/5o 9dQHK90HaO4dt9tLXW8sntSvdbk236XPS6udKwCbO/HyXOfuOc7d6KxmuvTM nNitcenWTL6sce2d6do7C2Du9GueHv0w48a82XfASyC65Cn88Ap+fAPb3gFe LX++M55vz7i/71yj7/12+jpXP007+ewsui/URcRGuBigFyza+FJjUIQe5Efi inAS0VD0toh8KSquKAFbspI6i+OMVCeMLM+Kqq0Ua5bs6EotBSPq/812VuTC uFJwa4ENN8zW3HTYdcXz/NPNAHhr97NjmfJNxzgYQoU6ctbUT4x09hdbRIOR xRmICisVCzOmehhSjgqbHJU6yZLaEZkuVkWazd3oEqdptc7s0HYbCugadlQj 1WsNcrVfX8Q+yJXoe+I6ZwWcv6fY9VytWMH376eVxYv5CH7ukEx03FDKfd06 XlUlD7158YIvWfK3vr7BPDz/sr+STgxvRtDKN/4rfoFlb+nHIhe/2/v92z0L 3uzy+pn6DGZhQHyyweMRfr9WSnM6ieTDYhEm5ou8ojRr0xytFpfZWi3NtyMW EMVa06X0l1ikjbPFUZ5iZaH20bIfXsCq59qNr1fvFvo88B3Ec8h641f4LKCf h/70UlRUppYRGxGSXxLYBOu4QtgihCuTJsUK1+0QKdbxr3quTlANuSJWZZEj OEy0YlQ+YYQuhaWKOs9MI5MC9dQGWHvVWNuj8ar3jL2HXG1MLlp88HKYqBYO oNIs6t1jg1wFgJyN13MlWGUhxgT5SToZ4wQVNV1jnVi6zfhC9a4uI63WlGLf oQMWNLLDeniu9n7E1UG9tBnqMT6U63v38rQ0WsnOJrRGYqLjhlLuouNGHnrT 2cmnTFH/y7/UHaSpVgfH43zCX+GWVM6TOKe6go3von7kwetpX18xkPOAmBxG Gsi0XfQmo8de43Ef5dCKqbfB/eZSt+tLJl3VulzBJgy6qTkuPTCxe86EztmO lzzHt8/QaqcLDzbDsW26c8dU50vTELCJl6a79WgmdWpcOjTulz09byBvHh5X UXdJyfw5AleUc0t3vl127N3mKA7pHPI4FD4AVp7I0nJQ1bNIGqklhzmJq1CC CvmR1VfUEK4kGY9cRTOp9o/cRTTeX5VZpuAznuYBoElgTqDvEh7mlMr4jNqj Cn7oVXs2a2zy0c1uPF62xLfSadHTvTtpPqv9LHAXC95Bol3XJU1o+RkOchVj QMPho1QsWE3eNYWxZEbDVKkT0xLl1uQLyk1NyBUV2LBDlOdl3hpScSKjNcjV ez2Dui7mQ+8VFQwLFVpzMwVBtPR0Hhk5Iq5Exw2l3EXHjX7oDVW59/REffUV v3ZtcDwODKPbQVQy53Aa7pcm8pNSsQpN5LKO+6zi3iveHVj6luYdWvh6x9zn W2Y93jDjwdrvBlaR1rq9fOrNZVP6l0zuW+RyeT5xJaBy7pzthFC1zXBoQac0 zbEV7C+in8dlCi64xanVfVInTGh1H9/sMblT43FV5ME65nj2g/bhtJn9M2bf 1K54vFy4snnSbK4JHDFblcb3FMvJdhD9cWhtLKyBhXQQPMhVpEIEPrFDpJIG Z0lchb3PFcITJ253pNI0TRqJbE4aLFbwdlKkv1JV6kz19DJY0aV2rbRSZKFT Xbfz9MzN9cazbsDi1jX7z2xhQeuk0xvkykd4reNygkv0IQLNsRAkzQwvWq+h RsQVxuVE5lGg1GpVTGuCF1j8iKFG5PZFrkwriXYdV9Los8FkO+zL/xChYblC 27yZ5+Zyf3/+6NGIuBIdN5RyP3gw4dgxfUG7XOW+cWNCXd1glbt0Mu9DhbuV cl4AcNaPZx3laYd50j7aMXIbD97I/ddwnx/eHVpJIWn3otc7vJ5vnf1448wH 62bco7zW9FvLp91YNuXakslXFrn0CK66AKGacMnTEaFqxsA3bXzLNIeLYNc4 zb5pimPzFPtGN63WXat1RSfm0OhqVz9tYpubWxcKDLcJzZrpvZo5N/Dp1Kld 87W38QWnz785c9Gt5Tspv6H96aWXGPITWMwP5fP1FRxauRTsgFR6aDMLu0hc heqqGoZyFfo+VwlKoihShf7NJFkqhDAVBTZALcdkwdVJlUmq2r0YlrYb2RdY s1P4cdZtzZjo1ap2vwTf1S7ckLHSPwBvvNfB1qWD5esSVwH6xKkBpWSDlFJO Xs62haqFLzVk8UyrFa1XrbnomhRcHdZzNYgQcUV//WroxgOFHyD0nlz/wPTp zZGY6LihlVWrnteJ/ue3b7k+bbV373tV7h9BhUsjp9HupdG8IIznBvFMXw7e NI4mehcP28oDN3Dfte8ot7Lsl73fv9o1/9m2uY82e95fP1Nw5XFrxfTry9yv LnbtXTix24u4Qi90ydOpbcb4Fg/0UciVw0V3uwawrZ9iW++GIGnqJmMj0q5+ 0vgmDI6TtFrEbJJzyySASfb109w6YWqPxrFJ49KimXcNfd2UqV3unt2LNt5Z cuzpjJW3Z6y6vVZEZ/QSC8SlTarhqY18X/0z0TIMaxeTIYj4GE0CjFgK1YXI oVzFKfVKXhkjCTAjkYigvkWWJKXoVSaJRq4FsOiiatxpK5aKwXrRhjQr14tq p2pwLJ7/faLXuiKEzd2j1pP50PmwY+sHuZISp5EGLBaor+e4EsOlPEs2Qh5F g78QKtd08V5aWyEyNaKofoyc2x/K1f4x7LCeK5Cc5Ja8Ybj6Q2xggK9eTfku dHGSKZV8+3aSZ9XVqOTf2/n9rLtMGhpKl2ReHMfPR1C/MKrMpEM8fi+P2sGD N3O/9WKc6fJf9i1+tWvhs23zHm2ePYAhac3M2/DdzeXEVd8S18sLXTqRK3C+ NNupbaZji4fDxen2jciVu30DaOrcNLWuNjWutnWTbKoJIU2Ni20tWFdNtK5y sa93xqaQWCa7tIBz80S72okO9R4zezS4TGjSuLXCqquem265f9c9df4V1F0b s57P2flg9o/3IeFFuPgxi+VCAaaXX0cnIM8zw6JLWUSW3BgMHcJVjOAqVngz 0UkNoBP20dLgCyRKIfk0o3gjlzyjmZWouCwooCdPn5elHl9qZH0ezM54ume7 A7go88cblztbN87yuA7rnk+OeT2l8Z1UCS+4ChfzqwcoSdvriuRlrkKIK2Pp DLUTpVmGaJDgsFzR7zqBlFIQXFFd5fLsD0ut/iiuJNN13JCbQnf37h1//Pjj vR7qQJLfHR8pBAr5lUFoQSz9PTOApx7lCQd59E88bBsP+JE2Hl75Zv/Sl3u+ f7pj/qMtc4kr8Ly1asaNFR79y6ZeWeLaswjbg87tKJlmObZ4jr/oYd843a5h KsBU2zqwqXGzqZ5sXTUJF7wRVhXOVpVgVTHBspwWTfUEACerclqEwsdHJ5tK 3NN5YpOzfZ2zY73m+y7N/C50Yujr5v/jmtex29PnXp3+fT8cv3+05MWy0Jeo 9jfm/Ix6K7mW5oc/zKLyCZJwkFuFoboUhJ6raKnyQSGpMtoHHV201AeE6kts j1UqomFCrmpSAXowM3SemhOOjnlGFtlgnG6tSJ7EUscD2KjyzE1Kbcwr1O7d sO6uJubBhOKX2ApeXXwNQ+NZFtZGct1fSWJeajMeF1xFGmi1huboUQMlruxE BPxK5urwIFc6iT5Wz9WQ1PqfCJWwYVPukg0WuvP3Q6E+N3teCPd0zhPFDsEc /HiSN4/Zy8N38MBNtM37hzcHlr/cs/jpzkUPt84b2Ci4Wjnz+kqPa8um9i52 615IXLXBhJZZjhdnOjR62Dd42NURVzbVYFPlZl052apikmUF0jLRoszZogws SieYlzqZlzhalTsCjDcvcTAvAdtqB8tSWrRaXBxxsal01FTCrBYn5wYCDC/+ 6i7Nyh5X9w7w6PLa078yacBz1T1sqS2NeehT8Yp6YX05NloTSntKWXg8o3m5 C0m0h/hLGXiZqyjQSy8RQKnsk4JghFD+8VLKiyoixmcpbbPQd5li+LaIMzc7 pVKdABZvyRI17CQNx1CdUZkUGxkXqCc1w9peTfQ1x1OPsG2yNKLu8IkL2acy skhZ+SVL1YD6nDzNW4UC3l8hiy6tcFZHvhLdhWNE/fOYIVyNYd5jxL37JFd/ AlRcyq4LYfbBbFdPXr4cLHTnwzcJZbqyxEos5+GcB4oBNQc47OKkWza8O7Lm 5wMrX+xd+nTn9w+3et2j8aezbq7y7F/53dVl0y4vdusiriYKrpwuzhzfOMOh YbpdHcVBDXHlal0x2ap8kmUZcWVeMtG8GMyKncyKnEyLHHEBcDAtxAXMix3M Cu1pKbIHsLcottdq7YUTc9BUOGgqHQAmL7ro5NyomYga7KLHhi63rVcwGLnP vjb7yPWdGQ/mH3wMm58uPvHMR/SMbCvnO6lIDx0XddudpZUYJpc6iLplRgNJ JVcmuELwwlF96SYSiQC7dIVxEvouYwzfxtEqRYwQ/PGmLNFYhEulKldlXKRS n4UJ1WZrmjXhV+wj7rqsuLxw0/n9u9MzgxJg99kjzGcf892n54rGQYQZUGkN Bkca/Khh0uygx74S8zBItdBDuRrLjrzHlXQn9VnQz8j132N37/7r2rUNKOC3 bRtMuYtUfFVensG2bXKhOx+mSfghXbhEcR7Mua/43cGfxBEb38G6nw/98GLv 8ie7tA9pNMTcW+tm31jt2b/iu75l03q0UzopDk5sRXU026nJ0xG5qkeVO82u xl1TBTaVeq5cyF9JXCFUhbg4jruA0cTBpMDB5DyYnLfXLRgXbMcV4AKmF2yt im21Wnn5rtrWttLergrsqzXfN2kmt+BVdXG/NHlLp6f3telLrsPym57Hbm/N vI0tixUBr1anPD4KECfag6EsIl4eqqPHKQLkBIWeK/RjsQzREqkwsEkhF8ei 1FRJFSF6gqJF2fwJhZgOQmmUrTIuVBllg0OR2epKTUgPno/DhHKvaal71iam +SbC0hLtkryFzFcrGrM6rkJFTt6PSVDJXPkJrg5JhX9yPYzM1VH9ffuKfzYL +jsM5dSdIcv9H3/8W0EBZdfXrdteVSXPdqUbQ4Eb66qqqNCdf8JffQqwI2J9 B9dsfss3vIY1L2DFk11LHhBX826tn3N99axrK2dcWTate7E7cQUurXOdm2dN QK4aZoyXuKoGTZW7TYWrdflkqzIXy1LkysWieKJ5EZgVCq4ujB9XILg672Cc D8b5trScszM+h+0jW3UeLqDO0+BifE5jkk9xUJSr4QKWxbYelbb2VbinxqlO o23UeLa5zLwEs7tcN3YvDuyetfX53J335/vc3JTetw9gT8HTPdU/o8gPF84q F6CYWIpgg1xFMqn9SCDFiNrmMLBMFKIrXEWdO+EiUFKqnLEE6ssmrrJUxheU qgzQnDFfWaLx77bG81FnznZJ3rUqIeZAGkytdXBoc1lwe4GYGmWeVruUun5I dDHRqziEq+NfUcHzcFy97w+G3sQ/MALmcT5hyLLc1lZ9+TJlGXx9F/n6ytn1 98dQTNFlRz/prz42qegCH7e+5Rtf87XP+arHsPQBvYLXzfVz+1fPvrpyRu+y 6chVB+XJJ7XMm3hx9oRGT6eGGY51HjJXlVMEV65WpS5WMldgXjSBuLrgaFow ftx5jG4OxudwAcRJXvIEV2dtjc6C0VmNfkGdrD6Liwbjjg4wgs2qWONWpnGs 0jjXaibVa7wasS3gor3ruuya+49dC/zbIKZrZeidVSfuri29vYeF+9CQ5LAo FpEh902HMIkxqdJGBEFDclxhCrM4CTYpaOpkGIIXLxdOGGUq1fkKVSp6Noul hZqD3RaUYj05c0LizuVxh9fmzrSuG2dZM3HG1fkAi7Ta6ez4HBa8idKk9AsR UsWCnP8kro6CVKWsC4Jf6Wa1GparP0muy/b3v68fGIjilHZ3WrVKTrm/P4bC axCWX3EagzU8uKx/zn94zJffp/UFN2FuP8zug5mXl3l0LQZY6NYGk1vmuVyc 7dzoOaFe5sq+CmyRq3JXm7LJ1qWTrEpEHCwC88IJZgQVcWWSL7jKszPOQ640 xuSjCCqjM7hojM6A0Rkbo1wbFS14F6yMcnGhjWrdotXaSICZ5oPFBY11kcap VJSBtWqmX7Kf1ei8uRo2XJq2tXvWT72zo9uWA6xJvb85+zFKLx8RBxNZSAYL L6R6PJkrhMpQyk4YIWwhuhrjcEPZrcWIQBkp9FWG0uiMQpkElgkW35/X7Owx Jc+W5DE+YfuiJJhdaGtaZmJc7Dype75WO4sm+vB3FwNRAaGSFZeeq4BPcsWG +b3oPxcqTln3/p4eqnI/eHC1GC6B9l89Pa/09Gjx3Q8ezDp2TC/mR+6v3hs/ KAbjy8uSO3zhDT7vGp9zhXtehu9oLN6iKcSVl0vTbOeGmRPqZzrVTpe5qpii KXcjrkqQq4nEFerzCxPMCgRX58cLqOzR/xhjsMOQR76IQptRrkaVgwsgSKoc WqhRn2NlRAsY5VgbSeu5uN1KnYuAWQmFT4yZ5BFXZgUa6xKNfanGtQI8qu3m 1NsvaprwjxrX7Z0e+y/POXZ1YVaPNGfX7rwHh8l9hesnuSKQ5OxEsOEgVwhb mHBrGCVjpaJBpSpdYXSaKeLBNNZ8wTnLH3uMqZf5hIdt3JZZ6TC+UmVUYCzm jfQSfVj2zN9ZFCUKrnze5yrwKxqXMSxXAR8i9H5p6J9iuqz781WruC7r/lRs fIf6Xb9Rdz4jOZsPoRpqesCIqx4+o4te070NXJthUtOciQ2eznXIlfBXlWCH XJW52pQSVwiVZZHElRNxdd7RNB+5slefwQWMz2qMzwquzhAVCJUyGxcgqLKt lKeRH2uxbqk6DarTVkbZuFjiIzmxHCs1LaDORcbQdyFj1sZnrRGwcec04/I1 puc1Vhc0DiV2bhV2M2vsFzQ4LGuesLfJPbPS82DPfL++Zef6NrKwQBaymwV7 k/RClkLEMGqJqxDDQSdGSXtDkbdnililKk2hOgWKaLU62nTuGYvFLUbqk0oW P906dqM7zUEhhi6edtJqZ8jJBH9R7Oqv0Y9FlbiSO5R9QAxZ1UOlj4PD3KA/ m6shWXd5zm3dGAp9Kn5oQTLosu6fss9BNdT0gOEytZW7NfNJjeBSD851M5xq kKupDshVueCqZLJ1MQVBy8KJFhfAvMDJjKDCxYG4ytVxdYagkrlCqE7jIrg6 baHMIn4IqixzZRaosnAjAmaOYgbXjQgzC6PTgKSps62NhROT6MJHk7MwLk9j ek44sfMa8wKNRaGdQ6n9d6UOM2rGL2hwXNGMjtQdYDYLWRhQQ/U/dOuDJa6O SmjJXIXouIqiYkJFtFKZylBcsXAjZYTp9DOm31UxMVxxKsBy53xgp5XslEqr dUL5KQgxY/4WLEhDPdS+Bh9xRWUMEle6ofGf5Eq/5fnzD+/LH2uvXg3OuT1k DMXHKdMPUmof2CBUIx/KoadrciN3qefO4lcrHavAoWKqXbmbbSlxZSNz5TyE q/Gm5yhPZZSDaIExiSUNehsj0lFIlI0iExAnVTZCZaHIEFydNldmmiszQJlB 66pMwVUmcoVQ4QoYZVkiY+oc3G6BB6pzrE1I4cuM4cua5tmYndOYn9dYIF0X NJZF9tbFeA7jPZscZ5Y7Lap0XlU1eXMNEuXPgheyYBRj6+RfBwgTwTFEJFGR q0jBVZRCeZKhuEKuWJjpxLPGItGqYNFuor+P5v2mrEKCk3BBJiS9/IxZoEbu oZaKmbVj3+NKlwIdOuvCp/oBm5q4u/uI7tHvs7991G09ODHIs2eSyvqMxHoP qt9gEl0Ta+nRsZI7VIB9GdiWgqZ4kk0RcuVseQEsCiaYn3cyQ2d1bvy4POJK nWOHIYycVa6NUY4GF5RSyiwblgGKTIklC8UpwRU6qwwzRTooT9G6KgNFsrm8 ngmqU6aqDAujLCv1aVPhx8zVWVYmuaA+bW6cbWGSI7svXEzzrM3OgXk+aTCk C3mzLh6vKR1vW+7oWAnuVc6x511Y8OQfC9CJebLgxYNBMFhwFWWIIl80GxXK ZBJXNCd26Djbs0ai7gupc1HEAc1mk6DQahWipEfNtFREzfw0pM/f42rI0K0h XIlRNl+ZfMjVYAR8/ZofP85dXH7LnRq5iUTo30R2dOjmfz12rMHUlJubrxI1 yfzTydHfC5Xe9O5rfDm3L+O2JVxTDDZF+KbOVsjV+Qnm+U5m58ab5jkIrhAq W+IqV6POEVxl2xBXmdY0e1UmBTtFhjlLsyQXlGWmPGWqSANluoUq01R5ahxG FrFupkInlmaK60aZ5kZZNMu68pS5UaaVMYr8TDN1lrkxKTQrEwLMQtBFfmxc nrWpSIthK9K6UGNTbI/fArtyR4dKJ8caDI6TZlRPZsFuVMwZNlPM8L+IAIsy kEc3hzNFkqEimn5RQvzUoEKelDt8gpTb12pF7iLMXIxcVlK2yk/kqXz0XI39 kKvB1DotqiGjAvWZH8kSEvj1638sVx+mRvlgTTIXNcnyfi9e/G3Jkv4+DIaD PxAwrAj8w6AaavqroSniNlQsBFYFyBU6CkeZq7N2MlfZoM4RXGVrjE4jV9aK DMFVBgZBc8Upc5ZqSa4p05ScQIq5Ip2clTLdhLhKs8B1Es8p45Sp5kYZuJiw VBNlGq5YGqPoSh9ndMpUTZHUwjjTzDjL3OS0lekZMD1joQuRBJVlvsb6gsam SGNborEtdXCgjssJE2onTqx3m9Q0eXo9fF82bcM5DxY6k0XOZWGLAJai71Ik Gv7/7Z1rbBzXdcfv534oYMDot7pgEDeIgZDzfu0suSNSJCWtnrZr0VIkJzLW 8QOOlS9GGrh1gAhB8qFRrJjUg6T42OW+uEuKpEhRpiTHdmVXVlVLbpq4YqI0 dmFUtdHAju1WcXx7zr07s7MPPiRQ3KU9f1wRsw+ulrO/PefMufecy7L3onBE lWdYGSO3bDgJiAtZ2eUkS3/FmgpcPdfAu9P4nWCBq4NVUutV5wEvXKCXL6Mx WVGuylOjtJAIRa5YIrTwvLfeUrdvv3jHHfRHP/IWJFexq55uUyNKD7DmOWq/ QEOniTVLTAinZxhXANWUw0YEoJI5V2MtQp6IY7Z0whLyFuPKksbRWAmZkJiD Y13MAVemOBqSx4AiIqYNKQvHLIOU0aWspYyBKyTyqCbnTHUMyVTHdXXM0MbD 5klinLS0yZA6ZbM0foQBFmmeI865jshZZ93PnbZXnPbznRsvRje+vil6iWy9 vG3HL3bc/ytcSi0cweoP4eg3Reww0YitPw5L8gRhJc9wE2cEcGbZi/kxOHfw ADzgTz2uvlbOFevD5j9z/iyo/5GuLvq979H9+3HN8MDAin1SN27gmlJvfPgh X5OMXLnNZHgJIq5Snp+nDQ2dv/vdtPtWiwVB/tdcha0P+f8bOk2tU9ScoQbr rqYBV5PIFUClTETkCc5VmHEFTtAScsCVjVyBE4SLr4wljoIT1MUs4ypryXld gvtTupjBYwxm0pqUsZS8pYJ/zKpSxlTywBX81JRRXc3bxlSzMWmoYOgw+HfC p5vNqVBoOsz8YzsAFjnjrDvX2vaSs+GfnI7z8JNEL0a3vrF165Vt9/7bjp3/ fv/ua137fvN1Qh4SDj8sHP6W0AOOmK3c62kUulXGVSNWVfA6aKxcbmImC4xS A+8fsgyu/Crh6s03sZHC2bM0HL6F2sAFdekS/fa3i+MnP6EPPjg7P489t91m Mn9B6TXWHQtTpk8//ZQvi0VqApXvvy8MYxp/Mq5wAFTI1QkMhMQ8ciXkwQkC VBb4PuBKzBu4zztwBS4vDxQxrjLgEDUR7k/qYtqS0YgpQlIT06acAyeoSmlF TBlKDsjUlVFFTutqzjYmbf0EMKZJeeTKPmXr46Y5YVlTJHKmNXwqzIJ8MDvt Hec72l5sbX/F2fCqs/mis/Hipi1vbLnvX7fvfOu+3b/Zvfc/yMPv7n30/X1C 97eEo9ijSehuZMtgGFcMLXcSsKmQ/+RcHfQvsnK5em4hrqpnQd9777bH7b41 yTwR+iFbk8z10YED/ucSVm1dVK02afUAUyepOkEV8FlwWYfVwWGMo3K2kINQ inNlIVc5A5sqpC0gSsrpQlrHllNpOFbFNBFGdDFlyqPssmtEY8dEziliEgYQ Ba+gyRlJwmNiTFjaGDAGT7b0yYg1bWk5TR8j1mSkZc6xp+HJdnimxTkDtquV Abau/aX10Qtb2191Oi842y5tvu/N7bt+vfvBt8jea10P/+fXH/vvb7KVq4/H YvuF7qeFnr/DyZqFuMJN6L7mvxjkXG1I2FW5Kvu8VlM3sybZC7HwX613lEZ5 gMnjVBrH9+dxhU4wy7kyxFED65TTQBc6QSEFl2A6cjVKxJTKuIJjhfXZVsWk IWeJnFXEERi6nIW4S5FSkhjXlCzRT4DVUqQR5MqYCJuTuppV1CwxJyItL7RY k0hsaKLFmWtvhZB+mkRmI2y14VbAbP3L66OvOdsuOruuOvddIV2/3LHn1zsf fpuVQMbAcD0qdD8l9DztcuVNLjcWufppoReuPwUKR4+erYLVKkzZLCl/M5mF 1yRTD616gMovDzAxT7HybpQN5AqoAJxcrtLoBMHZYX16SpXACY4AVxrcI2UZ V3EVWcoQKS0JcUVMwLGO+7+PiMKwpmSIPg4/RXFYQa7GQ8YJVUmJcpKY45Hm 2bA5Drxp5lg4crrdmWu2TpDwVGjd6fWbXt3ortUBI7Zl5y93bLng3PsvTtcv nD1Y3L0nFtstdH8DfWLPk4wrh9mrUq4gbn+O8IIdPVbC1UNnFkut17FKOszw tmk3tcRh1cTpEkapkKUspmLTr2nGVUrHkXa5SnInqAoJDX5KGc4VmCxdShMw UNgKO64zlyeKcVEY0uQ00cEJpkRhkHE1Zul5sF2iPEKMsZbwjKXnsJrezIcj s60tsyF9lFhjIWe2beP5DvDRzTPhthfWbX5tMyspAsA67720mfOGLq97l9Dz DYyvnm/A1HpPda54YQVw1e7zgw/MlX8aNfSAlarWjua3n3xS2WHGm9BZfMaw ZvKnBIU0ZVAxrpIMrSQ2NwaWRLgzobKhSGmXq7gqpYiIJagwNDkF0ZSI5YFD KtglLSeh7UKuTD2va6Ngu0QpQYx8s31S1zK4z6CRC7fMOOGThgYcZkKRmdYN /9gKHFrjZmTaiZ7fvP2fSevpls4XAa1oLLZLiO3AeUBkiY3nHTRZ3RVcPcdC 9EON7kQt8XqjVXzH68hYsb7uJfewVPy22dlhlorf8sknxTXw1eiqm7/EpyJd KYpoJdnA6IjhNMK4iqvo8pKsRS2261ekJBHjElYxD2lSEiJ2EcsDB1UIq9Qs 2C5BGIQnG3pOVdNYOSgNEz1nWxOqksStTvVsuHm62YabCaKlrZbp1s6X4IPW 9YzeMuVsemXzltdI5KTVeqq5Y24TW14Vxc6l3VHh8DbGVYPHlReiI0KHuLHy TjXhjdFY/4rbtBZ0ZfTlL5fcZKl47PT+2GO0q+vJ2dknS+d6UKWT0XVKF/UD NkJZpw7W4BEGM1BCXBZHOFc4pBFWGo8DnaCU4FwRKaEoaUEc4ls1GdqoDCAJ A0Qc0vWsaY7JcoJxlbGbT2INjjREtKTVMtW6/mwYXlyOa80TzsaXN298mdjj ang8HJncxFbCtLMYe71wpINxxfqOPl/OFVtPhWj5TnLBWHkfASH15QG57r67 5Kabin+7tZU+/jhO6Pjnevzy+516Nl/UC8ASbMQJGwynuMvVEBETHCqR2SXw dGyp5wCR4pKMIHGuwOsJchwXrouDcKwbo4gccKWl7fCkYWRx7bE6YjZPtrae NtWsIA5o4RPOhp9v7DhLzKygJ20zA1xtZ8lPE3s/HmER+8/4JnGNxRXsXr+F 7jKuSOU8SA2NVWXWnauMK5aKx7Yz4B/37sUJHf9cT1WtPf8Yp9jKgw22RQ7j CpwgVmaJhd1zBjlLBACTEuwYm2WhE0Tbhf3eNS0NOGE7I+G4oiZtcIJaCtce K3ETWIpMawjkcc0eczaca2ubNVR4nX5bHACuokLMFmJsId9Rl6ufVeHKc46l p7TkDNfWWFVm3bnKuGLtQXBC58476Q9+gB1m3LmepbUm6KJ+wFjZNlbKDwI/ Eiuu4W0ZOFTc3wnSMIcHtwxQU5wx4EdTk7I6wmpw+hV1xLJPyEocuZKHTXvc bp4AnwgPaXbO6TzrRKYUCaukbaF/E/YFjWlCzG1fU8FV0Vj1VOXK/7fUnQfk 8nPl9nXHCZ2vfCUxPo4dZty5nuWqmn+sUxUBG6RYQzpIOE4Fro5zfyeIg/wY VxooBZAYVyOAEL8JRBlWTpAGcU27NGjaeTOUZw/1aaFRp2OOhMdY5VefLfQB V+AExXKuDi3C1bLmAetHvr7uKP+a5Ace+Kh0ruemtYD5qscTUQSMNSDCD/R4 gasCYP28psYDCbcuVRKCxCHsk5Vh1ciw2i7gasAMYTdjXNEn9KlWxmk/Tcw0 v8m5Crkzy03V7JVvchlXOC/IVd0aqzL5+7pXzvXcmtZE7ssTe6vsAv84KYx+ wRvwOUuD3Oxg5yJlmK8xBlpkeUjSkmydXl+T2G9aWcmt9lLNVKTtFNHi/KZN SHsMneByuGpgfT+aKrmqz2vA5aty44BblkeXl+JbsZdeaRXp6m9gponRxeud +zlUgJAgD/E1xkCLJA00IWa9rAdan2FmvCpC1UiGnEkiHec3QyzZLhZXwhxr cPMM1bgC+4m9vivPVZ16wFppUfNVd2eKBzn4+fYx51ggisHT2yRjBb3L1fEm aaBwP7NRLlfHVD1hhPNsaSgOLN+IMahcrhyh50sLcaXgftZK5ZlZ08bqtmrt 5L68FCUzIL3EHU3cBHGuxD5mrArwSEbSq05VtWHZSjX5uFKrcFUyiVPkypqs MicbQLWUPqBV/GOdSojRYg681wXsmMtPL4uUCvA06XGPK0UdItowL4uGAVyJ 5Vwd9nPlrzOtOg9Y5Orjj1f9LNS73qPUpPQvKW3mt9eE+eJouUkAZr54l79j bgVEAZ4mZYBBchSGogwQuZ8fNzKu2BpRL/8JXB35kj9PtThXHKoPPqB79lDb pvv21ehc1KlOUvoZ+7rdQell/wN1nlzlXPk+dzcAO8o7LRf4EXs9rmS5v3i/ cET1c1XYMRC4OswnaxrdmeUSrnwpwYKlev11XC8Huuceeu1aDc9Hfcn3dftr Sv+v8gl+81WH/tE1XP6PviCc78PBd+zCIfUSfsCG6OOKR26OcLSMK64Gb4rZ +38rI6vOTvrHP67Wn133cr9uF++5Z9fiX7d6Tt37rRZvau1F+ICWy1ijeMzP VWN1rvD5TaVccS0G1fw8ffbZ2/93rjEBWE90dn66zK9bteir9pj5ufL13/D5 x8NE5PvBuaMKV8cW4aqgSqjgi3nwIPUVvATi+vH8/HX2dbu85FM91af5cje3 9UJ6QkiJ+XJnZMiCXB3lXC34F1VylU4X6hGC+Mqn73/22Z8dPHjnn/4Ecfv3 b+H36+3i0Utzea2JKzIGnhFjfWP8XPUuwVUlVEND9K67cK9AiNvhOJCnFfm6 1aH58vvBUtKKx7EieA7LtTbIxxfkKsiCLl8r/nVzASN1ZcH88XwFV3wgV1a6 IYzbpGrV5msCrupCpYDV+J1Qt8HF4ly1zTS0n4K3vC6YB6xzVZivGovH8yyX XoWrLa80dJytOl9DyzpjBKoTVUZfC6+9vL1vw2+7yrjaeaWh0sAGUNW//Oar Jlz5JWB3oyJXXpBfwVUA1ZpQce1EbaMvgk0JwCfyyaDqXAXGak3oo4/mWCq7 qNpGX14HFdaVqIQr13EHUNW73njj4x079lP61cqHKszXKjHm68zj8HTE4pPL gepNrL/0gWj0V1W58rTK5svlqgo/gbFaE0okpt5550w0+tvFueJatehrIa4C qNaEWH9p9fr1+6PRTZT+OaV/v8xf5HTdPsACrta0WH/pF/fvn7377vjAwF2U vn6zr3CbAKvKVQDVWpGvv/TbV68u7QcX0orT5efKrRmhAVRrSyvYX3qlwvsy exXkFgLRlQjvK7kKoArk6Zb9Y4UfDKAKVEU3a74CrgItX1XNl7eSwS/GVQlU FXtBBgpULt/aCVrViHGu+JXg9evOd75DK/aCDBSouhYyX4T4uXJYA2p8aKH+ wIECefrDH+j77/8Ppe/QEsAKcletowdkDajxziX7Awf6Iuvdd8GjzZ879zef fpqgtKTm1jNfbliFXLEG1Pjo8vsDB/qi6cYN2tLyv1ev/tUic0Zu9FW4BmQN qPHgZvsDB/riaHCQNjU9+8wzd/b2dt248bdsc+0lVLEXZKBA5XriCfrDH7ZT uu+RR2g6DRbpx0v+ykr1Bw70OdaBAzSXe4jSf5iaoo880rP8hOcK9gcO9PnT lSv0mWfOUdqVz9P+/oOUBjmpQCuj736XTk/fe+jQ0d///ilK/6vWbyfQ50ds UubDJZ8WKFCgQIECBQoUKFCgQIECrTX9P+YEEgM= "], {{0, 183}, {200, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> Automatic, Interleaving -> True], Selectable->False], BaseStyle->"ImageGraphics", ImageSize->{200, 183}, ImageSizeRaw->{200, 183}, PlotRange->{{0, 200}, {0, 183}}]], "Output", CellChangeTimes->{{3.5789315385285683`*^9, 3.578931547858494*^9}, 3.5789339578069973`*^9}] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Further Examples", "Section", CellChangeTimes->{{3.578931852522998*^9, 3.57893188088766*^9}, 3.578933856506694*^9}], Cell["Explore polyhedra", "Text", CellChangeTimes->{{3.578931870488324*^9, 3.578931877399352*^9}, 3.578933856506955*^9}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Manipulate", "[", RowBox[{ RowBox[{"Anaglyph", "[", RowBox[{"Graphics3D", "[", RowBox[{"{", RowBox[{"Yellow", ",", RowBox[{"Opacity", "[", "0.3", "]"}], ",", RowBox[{"PolyhedronData", "[", RowBox[{"polyhedron", ",", "\"\\""}], "]"}]}], "}"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"polyhedron", ",", "\"\\""}], "}"}], ",", RowBox[{"Select", "[", RowBox[{ RowBox[{"PolyhedronData", "[", "]"}], ",", "StringQ"}], "]"}]}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.4701058756832657`*^9, 3.4701059633517313`*^9}, { 3.470106554467156*^9, 3.4701065638536587`*^9}, {3.4701066171367064`*^9, 3.4701066541032953`*^9}, {3.470106729186952*^9, 3.4701067573909616`*^9}, { 3.470107127698585*^9, 3.4701071427455606`*^9}, 3.578933856507428*^9}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`polyhedron$$ = "MathematicaPolyhedron", Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`polyhedron$$], "TruncatedIcosahedron"}, { "AcuteGoldenRhombohedron", "AugmentedDodecahedron", "AugmentedHexagonalPrism", "AugmentedPentagonalPrism", "AugmentedSphenocorona", "AugmentedTriangularPrism", "AugmentedTridiminishedIcosahedron", "AugmentedTruncatedCube", "AugmentedTruncatedDodecahedron", "AugmentedTruncatedTetrahedron", "BiaugmentedPentagonalPrism", "BiaugmentedTriangularPrism", "BiaugmentedTruncatedCube", "BigyrateDiminishedRhombicosidodecahedron", "Bilunabirotunda", "CsaszarPolyhedron", "Cube", "CubeFiveCompound", "CubeOctahedronCompound", "CubeOctahedronFiveCompound", "CubeOctahedronThreeCompound", "CubeSixCompound", "CubeTenCompound", "CubeThreeCompound", "CubeTwoCompound", "Cuboctahedron", "CumulatedCube", "CumulatedDodecahedron", "CumulatedTetrahedron", "DeltoidalHexecontahedron", "DeltoidalIcositetrahedron", "DiminishedRhombicosidodecahedron", "DisdyakisDodecahedron", "DisdyakisTriacontahedron", "Disphenocingulum", "Dodecahedron", "DodecahedronFiveCompound", "DodecahedronIcosahedronCompound", "DodecahedronSixCompound", "DodecahedronSmallTriambicIcosahedronCompound", "DodecahedronTwoCompound", "DuerersSolid", "Echidnahedron", "ElongatedDodecahedron", "ElongatedPentagonalCupola", "ElongatedPentagonalDipyramid", "ElongatedPentagonalGyrobicupola", "ElongatedPentagonalGyrobirotunda", "ElongatedPentagonalGyrocupolarotunda", "ElongatedPentagonalOrthobicupola", "ElongatedPentagonalOrthobirotunda", "ElongatedPentagonalOrthocupolarotunda", "ElongatedPentagonalPyramid", "ElongatedPentagonalRotunda", "ElongatedSquareCupola", "ElongatedSquareDipyramid", "ElongatedSquareGyrobicupola", "ElongatedSquarePyramid", "ElongatedTriangularCupola", "ElongatedTriangularDipyramid", "ElongatedTriangularGyrobicupola", "ElongatedTriangularOrthobicupola", "ElongatedTriangularPyramid", "EschersSolid", "GreatDodecahedron", "GreatIcosahedron", "GreatRhombicosidodecahedron", "GreatRhombicTriacontahedron", "GreatRhombicuboctahedron", "GreatStellatedDodecahedron", "GyrateBidiminishedRhombicosidodecahedron", "GyrateRhombicosidodecahedron", "Gyrobifastigium", "GyroelongatedPentagonalBicupola", "GyroelongatedPentagonalBirotunda", "GyroelongatedPentagonalCupola", "GyroelongatedPentagonalCupolarotunda", "GyroelongatedPentagonalPyramid", "GyroelongatedPentagonalRotunda", "GyroelongatedSquareBicupola", "GyroelongatedSquareCupola", "GyroelongatedSquareDipyramid", "GyroelongatedSquarePyramid", "GyroelongatedTriangularBicupola", "GyroelongatedTriangularCupola", "Hebesphenomegacorona", "Icosahedron", "IcosahedronFiveCompound", "IcosahedronSixCompound", "IcosahedronTwoCompound", "Icosidodecahedron", "JessensOrthogonalIcosahedron", "MathematicaPolyhedron", "MetabiaugmentedDodecahedron", "MetabiaugmentedHexagonalPrism", "MetabiaugmentedTruncatedDodecahedron", "MetabidiminishedIcosahedron", "MetabidiminishedRhombicosidodecahedron", "MetabigyrateRhombicosidodecahedron", "MetagyrateDiminishedRhombicosidodecahedron", "ObtuseGoldenRhombohedron", "Octahedron", "OctahedronFiveCompound", "OctahedronTenCompound", "OctahedronThreeCompound", "ParabiaugmentedDodecahedron", "ParabiaugmentedHexagonalPrism", "ParabiaugmentedTruncatedDodecahedron", "ParabidiminishedRhombicosidodecahedron", "ParabigyrateRhombicosidodecahedron", "ParagyrateDiminishedRhombicosidodecahedron", "PentagonalCupola", "PentagonalGyrobicupola", "PentagonalGyrocupolarotunda", "PentagonalHexecontahedron", "PentagonalIcositetrahedron", "PentagonalOrthobicupola", "PentagonalOrthobirotunda", "PentagonalOrthocupolarotunda", "PentagonalPrismSixCompound", "PentagonalRotunda", "PentakisDodecahedron", "RhombicDodecahedron", "RhombicEnneacontahedron", "RhombicHexecontahedron", "RhombicIcosahedron", "RhombicTriacontahedron", "SmallRhombicosidodecahedron", "SmallRhombicuboctahedron", "SmallStellatedDodecahedron", "SmallTriakisOctahedron", "SmallTriambicIcosahedron", "SnubCube", "SnubDisphenoid", "SnubDodecahedron", "SnubSquareAntiprism", "Sphenocorona", "Sphenomegacorona", "SquareCupola", "SquareGyrobicupola", "SquareOrthobicupola", "SquashedDodecahedron", "StellaOctangula", "SzilassiPolyhedron", "Tetrahedron", "TetrahedronFiveCompound", "TetrahedronSixCompound", "TetrahedronTenCompound", "TetrahedronThreeCompound", "TetrahedronTwoCompound", "TetrakisHexahedron", "TriakisIcosahedron", "TriakisTetrahedron", "TriangularCupola", "TriangularHebesphenorotunda", "TriangularOrthobicupola", "TriaugmentedDodecahedron", "TriaugmentedHexagonalPrism", "TriaugmentedTriangularPrism", "TriaugmentedTruncatedDodecahedron", "TridiminishedIcosahedron", "TridiminishedRhombicosidodecahedron", "TrigyrateRhombicosidodecahedron", "TruncatedCube", "TruncatedDodecahedron", "TruncatedIcosahedron", "TruncatedOctahedron", "TruncatedTetrahedron"}}}, Typeset`size$$ = {360., {178., 182.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = True, $CellContext`polyhedron$41506$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`polyhedron$$ = "TruncatedIcosahedron"}, "ControllerVariables" :> { Hold[$CellContext`polyhedron$$, $CellContext`polyhedron$41506$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Anaglyph`Anaglyph[ Graphics3D[{Yellow, Opacity[0.3], PolyhedronData[$CellContext`polyhedron$$, "Faces"]}]], "Specifications" :> {{{$CellContext`polyhedron$$, "TruncatedIcosahedron"}, { "AcuteGoldenRhombohedron", "AugmentedDodecahedron", "AugmentedHexagonalPrism", "AugmentedPentagonalPrism", "AugmentedSphenocorona", "AugmentedTriangularPrism", "AugmentedTridiminishedIcosahedron", "AugmentedTruncatedCube", "AugmentedTruncatedDodecahedron", "AugmentedTruncatedTetrahedron", "BiaugmentedPentagonalPrism", "BiaugmentedTriangularPrism", "BiaugmentedTruncatedCube", "BigyrateDiminishedRhombicosidodecahedron", "Bilunabirotunda", "CsaszarPolyhedron", "Cube", "CubeFiveCompound", "CubeOctahedronCompound", "CubeOctahedronFiveCompound", "CubeOctahedronThreeCompound", "CubeSixCompound", "CubeTenCompound", "CubeThreeCompound", "CubeTwoCompound", "Cuboctahedron", "CumulatedCube", "CumulatedDodecahedron", "CumulatedTetrahedron", "DeltoidalHexecontahedron", "DeltoidalIcositetrahedron", "DiminishedRhombicosidodecahedron", "DisdyakisDodecahedron", "DisdyakisTriacontahedron", "Disphenocingulum", "Dodecahedron", "DodecahedronFiveCompound", "DodecahedronIcosahedronCompound", "DodecahedronSixCompound", "DodecahedronSmallTriambicIcosahedronCompound", "DodecahedronTwoCompound", "DuerersSolid", "Echidnahedron", "ElongatedDodecahedron", "ElongatedPentagonalCupola", "ElongatedPentagonalDipyramid", "ElongatedPentagonalGyrobicupola", "ElongatedPentagonalGyrobirotunda", "ElongatedPentagonalGyrocupolarotunda", "ElongatedPentagonalOrthobicupola", "ElongatedPentagonalOrthobirotunda", "ElongatedPentagonalOrthocupolarotunda", "ElongatedPentagonalPyramid", "ElongatedPentagonalRotunda", "ElongatedSquareCupola", "ElongatedSquareDipyramid", "ElongatedSquareGyrobicupola", "ElongatedSquarePyramid", "ElongatedTriangularCupola", "ElongatedTriangularDipyramid", "ElongatedTriangularGyrobicupola", "ElongatedTriangularOrthobicupola", "ElongatedTriangularPyramid", "EschersSolid", "GreatDodecahedron", "GreatIcosahedron", "GreatRhombicosidodecahedron", "GreatRhombicTriacontahedron", "GreatRhombicuboctahedron", "GreatStellatedDodecahedron", "GyrateBidiminishedRhombicosidodecahedron", "GyrateRhombicosidodecahedron", "Gyrobifastigium", "GyroelongatedPentagonalBicupola", "GyroelongatedPentagonalBirotunda", "GyroelongatedPentagonalCupola", "GyroelongatedPentagonalCupolarotunda", "GyroelongatedPentagonalPyramid", "GyroelongatedPentagonalRotunda", "GyroelongatedSquareBicupola", "GyroelongatedSquareCupola", "GyroelongatedSquareDipyramid", "GyroelongatedSquarePyramid", "GyroelongatedTriangularBicupola", "GyroelongatedTriangularCupola", "Hebesphenomegacorona", "Icosahedron", "IcosahedronFiveCompound", "IcosahedronSixCompound", "IcosahedronTwoCompound", "Icosidodecahedron", "JessensOrthogonalIcosahedron", "MathematicaPolyhedron", "MetabiaugmentedDodecahedron", "MetabiaugmentedHexagonalPrism", "MetabiaugmentedTruncatedDodecahedron", "MetabidiminishedIcosahedron", "MetabidiminishedRhombicosidodecahedron", "MetabigyrateRhombicosidodecahedron", "MetagyrateDiminishedRhombicosidodecahedron", "ObtuseGoldenRhombohedron", "Octahedron", "OctahedronFiveCompound", "OctahedronTenCompound", "OctahedronThreeCompound", "ParabiaugmentedDodecahedron", "ParabiaugmentedHexagonalPrism", "ParabiaugmentedTruncatedDodecahedron", "ParabidiminishedRhombicosidodecahedron", "ParabigyrateRhombicosidodecahedron", "ParagyrateDiminishedRhombicosidodecahedron", "PentagonalCupola", "PentagonalGyrobicupola", "PentagonalGyrocupolarotunda", "PentagonalHexecontahedron", "PentagonalIcositetrahedron", "PentagonalOrthobicupola", "PentagonalOrthobirotunda", "PentagonalOrthocupolarotunda", "PentagonalPrismSixCompound", "PentagonalRotunda", "PentakisDodecahedron", "RhombicDodecahedron", "RhombicEnneacontahedron", "RhombicHexecontahedron", "RhombicIcosahedron", "RhombicTriacontahedron", "SmallRhombicosidodecahedron", "SmallRhombicuboctahedron", "SmallStellatedDodecahedron", "SmallTriakisOctahedron", "SmallTriambicIcosahedron", "SnubCube", "SnubDisphenoid", "SnubDodecahedron", "SnubSquareAntiprism", "Sphenocorona", "Sphenomegacorona", "SquareCupola", "SquareGyrobicupola", "SquareOrthobicupola", "SquashedDodecahedron", "StellaOctangula", "SzilassiPolyhedron", "Tetrahedron", "TetrahedronFiveCompound", "TetrahedronSixCompound", "TetrahedronTenCompound", "TetrahedronThreeCompound", "TetrahedronTwoCompound", "TetrakisHexahedron", "TriakisIcosahedron", "TriakisTetrahedron", "TriangularCupola", "TriangularHebesphenorotunda", "TriangularOrthobicupola", "TriaugmentedDodecahedron", "TriaugmentedHexagonalPrism", "TriaugmentedTriangularPrism", "TriaugmentedTruncatedDodecahedron", "TridiminishedIcosahedron", "TridiminishedRhombicosidodecahedron", "TrigyrateRhombicosidodecahedron", "TruncatedCube", "TruncatedDodecahedron", "TruncatedIcosahedron", "TruncatedOctahedron", "TruncatedTetrahedron"}}}, "Options" :> {}, "DefaultOptions" :> {}], ImageSizeCache->{444., {222., 227.}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{3.5789344445601377`*^9}] }, Open ]], Cell["\<\ Try different color schemes to find an effective combination for your \ Anaglyph:\ \>", "Text", CellChangeTimes->{{3.578932134435685*^9, 3.578932179114079*^9}, 3.578933856523732*^9}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Manipulate", "[", RowBox[{ RowBox[{"Grid", "[", RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{"Anaglyph", "[", RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Sin", "[", RowBox[{"x", " ", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"ColorFunction", "\[Rule]", "colorscheme"}], ",", RowBox[{"Mesh", "\[Rule]", "None"}]}], "]"}], "]"}], ",", RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Sin", "[", RowBox[{"x", " ", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"ColorFunction", "\[Rule]", "colorscheme"}], ",", RowBox[{"Mesh", "\[Rule]", "None"}]}], "]"}]}], "}"}], "}"}], "]"}], ",", RowBox[{"{", RowBox[{"colorscheme", ",", RowBox[{"ColorData", "[", "\"\\"", "]"}]}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.578931896165084*^9, 3.5789319016007977`*^9}, 3.578932131412216*^9, 3.578933856542604*^9, {3.5789344355152893`*^9, 3.5789344360052767`*^9}}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`colorscheme$$ = "AlpineColors", Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ Hold[$CellContext`colorscheme$$], { "AlpineColors", "Aquamarine", "ArmyColors", "AtlanticColors", "AuroraColors", "AvocadoColors", "BeachColors", "BlueGreenYellow", "BrassTones", "BrightBands", "BrownCyanTones", "CandyColors", "CherryTones", "CMYKColors", "CoffeeTones", "DarkBands", "DarkRainbow", "DarkTerrain", "DeepSeaColors", "FallColors", "FruitPunchColors", "FuchsiaTones", "GrayTones", "GrayYellowTones", "GreenBrownTerrain", "GreenPinkTones", "IslandColors", "LakeColors", "LightTemperatureMap", "LightTerrain", "MintColors", "NeonColors", "Pastel", "PearlColors", "PigeonTones", "PlumColors", "Rainbow", "RedBlueTones", "RedGreenSplit", "RoseColors", "RustTones", "SandyTerrain", "SiennaTones", "SolarColors", "SouthwestColors", "StarryNightColors", "SunsetColors", "TemperatureMap", "ThermometerColors", "ValentineTones", "WatermelonColors"}}}, Typeset`size$$ = { 549., {169.125, 174.875}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = True, $CellContext`colorscheme$41632$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`colorscheme$$ = "AlpineColors"}, "ControllerVariables" :> { Hold[$CellContext`colorscheme$$, $CellContext`colorscheme$41632$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Grid[{{ Anaglyph`Anaglyph[ Plot3D[ Sin[$CellContext`x $CellContext`y], {$CellContext`x, 0, 3}, {$CellContext`y, 0, 3}, ColorFunction -> $CellContext`colorscheme$$, Mesh -> None]], Plot3D[ Sin[$CellContext`x $CellContext`y], {$CellContext`x, 0, 3}, {$CellContext`y, 0, 3}, ColorFunction -> $CellContext`colorscheme$$, Mesh -> None]}}], "Specifications" :> {{$CellContext`colorscheme$$, { "AlpineColors", "Aquamarine", "ArmyColors", "AtlanticColors", "AuroraColors", "AvocadoColors", "BeachColors", "BlueGreenYellow", "BrassTones", "BrightBands", "BrownCyanTones", "CandyColors", "CherryTones", "CMYKColors", "CoffeeTones", "DarkBands", "DarkRainbow", "DarkTerrain", "DeepSeaColors", "FallColors", "FruitPunchColors", "FuchsiaTones", "GrayTones", "GrayYellowTones", "GreenBrownTerrain", "GreenPinkTones", "IslandColors", "LakeColors", "LightTemperatureMap", "LightTerrain", "MintColors", "NeonColors", "Pastel", "PearlColors", "PigeonTones", "PlumColors", "Rainbow", "RedBlueTones", "RedGreenSplit", "RoseColors", "RustTones", "SandyTerrain", "SiennaTones", "SolarColors", "SouthwestColors", "StarryNightColors", "SunsetColors", "TemperatureMap", "ThermometerColors", "ValentineTones", "WatermelonColors"}}}, "Options" :> {}, "DefaultOptions" :> {}], ImageSizeCache->{594., {214., 219.}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{3.578934446685011*^9}] }, Open ]], Cell["\<\ Using ParametricPlot3D to visualize a surface\ \>", "Text", CellChangeTimes->{{3.578932208405347*^9, 3.578932248846417*^9}, 3.578933856543024*^9}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"\[CapitalGamma]", "[", RowBox[{"\[Theta]_", ",", "\[Phi]_", ",", "e_", ",", "\[Mu]_"}], "]"}], ":=", RowBox[{"{", RowBox[{ FractionBox[ RowBox[{ RowBox[{"\[Mu]", " ", RowBox[{"(", RowBox[{"e", "-", RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"Cos", "[", "\[Phi]", "]"}]}]}], ")"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["e", "2"]}], ")"}], " ", RowBox[{"Cos", "[", "\[Theta]", "]"}]}]}], RowBox[{"1", "-", RowBox[{"e", " ", RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"Cos", "[", "\[Phi]", "]"}]}]}]], ",", FractionBox[ RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["e", "2"]}]], " ", RowBox[{"Sin", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{"1", "-", RowBox[{"\[Mu]", " ", RowBox[{"Cos", "[", "\[Phi]", "]"}]}]}], ")"}]}], RowBox[{"1", "-", RowBox[{"e", " ", RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"Cos", "[", "\[Phi]", "]"}]}]}]], ",", FractionBox[ RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["e", "2"]}]], " ", RowBox[{"Sin", "[", "\[Phi]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{"e", " ", RowBox[{"Cos", "[", "\[Theta]", "]"}]}], "-", "\[Mu]"}], ")"}]}], RowBox[{"1", "-", RowBox[{"e", " ", RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"Cos", "[", "\[Phi]", "]"}]}]}]]}], "}"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Anaglyph", "[", RowBox[{"ParametricPlot3D", "[", RowBox[{ RowBox[{"\[CapitalGamma]", "[", RowBox[{"\[Theta]", ",", " ", "\[Phi]", ",", "0.2", ",", " ", "1"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"\[Theta]", ",", "0", ",", RowBox[{"2", " ", "Pi"}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Phi]", ",", "0", ",", " ", RowBox[{"2", " ", "Pi"}]}], "}"}], ",", " ", RowBox[{"Boxed", "\[Rule]", " ", "False"}], ",", RowBox[{"Axes", "\[Rule]", " ", "False"}], ",", RowBox[{"Mesh", "\[Rule]", " ", "True"}]}], "]"}], "]"}]}], "Input", CellChangeTimes->{{3.578173459301993*^9, 3.578173463197021*^9}, { 3.5789322420834923`*^9, 3.578932242485009*^9}, 3.578933856543961*^9}], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsvflfVNfS/1t3+OH+G99f7/d5ni+ZTuZ5nmPMZEw0ao4ZHOKYmMmoxylO cYhD1KgEZ8SAAaJBBBQEAUFAEJB56Kabhm666Xmou6rW3rt3N43mnOfcr8k5 6/Oqw4tDCJGW/eZTtWpV/Y/pn7w68/8EgIX/j3jz6rTPHl2wYNrnE/9v8X8e +3zRX6f/X+KdD/8P+T96H5WUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSU lJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSU lJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSU lJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSU lJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSU lJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSU lJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSU lJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSU lJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJT+DZTFcRIx mwN03eo/l5KS0i2QePIPIR5FzGQyCCacOoR5R/F0Jhb8jIWnsDgXL+Rj6Wks +w3LizlKOM5jxQUGyHksLYldKI4VnYsVFcYKOc4Wxs6cjeYWRPFMFPMjt/q7 VFJS+kcEHBlMiSOSEgDZ+zAnHXMPYf5RPGOAIg8vnMHSswhFCCUIpXF38Q+r HKAUoKQiVnAxhqUxLIniOQUTJaU/nAQl0hEPGnYCIGsPnjSBghzFSSzMxqJf sEQ4ijMIkhW6avSorUQRdVVYV431lykaajhqseEKNooQn12HTfV6NGCzjKta gIjGZP5UM0+KRbJTi3g5hpeiWBbB86Fb/copKf27CMaG0G6EHzFnP+b+hPmH 8PRRLMjEsyexKIeyD/gV4beEZ7lKgqICay9hnQSFzgpJiUamRBMjorleI0OL iEZsEf9+I7Y26XFNj+ZU0UIBRuhqZJgQSRqR4kpU/DNUVRQlpX+qJCJ2IO5D PABwEOCY8BUAJwFyAHIB8uUDmY3wC0IewmmEAu05rQCoFKwoxeoyrClHMy4I FAYrarGJWSFBISjR2sjBcGgT0YztIvjxF2/bW01x/XdEmx7XEYwAaOY/ZJ2A RlMMG2PYEL3VL7aS0p9bEhdbEPcg7gdIF8TYhkd34YkfMTsDTx3GvGOYf4Lq FWdPYVEeFptMhcAFXKCqRWpc1BAoJCuak1ghQaFTQkZnK8d1ii7xlduwR0R7 quhIHV2m6JTRju3tCO3MtzaUPqReGo+rEWyIYI3KZZSU/g4JXGxA3CWIASCI kfEdHvoej/3AxEjH3KOYfxzPZGFBNhb+gsX5CGfQqExWlGDlBaziXEDgAi4h VGJ9lWYtzKxoMbOiiU3FNRMudFZ0yTBYITgg/kud2KtHn/F+B0dnYnSZoluL nq54iC/W1UkkAT0EPWolQJoiWB/COgUQJaVxJQ3GVsTdiHsBDqyOHNyCR7Zj 5m7M2ofZP2HuYc1gFOZgkaxdsMoEMYpRI0YZVl/UDQb/Bhe4gFoEAxeCFSlx 0WxyF0ms0L2ExEKf+E92Y5+MrjHBJEn4SHdi9JhCfKke7O3Bnm4OSRI96pl+ WvWjKYz1QawN3Oq/JSWlP4qkwdghiAFAxNiEB7fikR1MjP2UleQewfxMzWAU yQoGH3qWncM4MUpNxDDlI01cRhDuQp53tDVRtF/jSMJF6xhcGKwwaMAPvoWf d6t4pzsh+sw8GYMLixG9eoivw+/09WFfL0VvL2GESNKDYIoaSY/rEbwWxobg rf4bU1K6ZZIGYz17jF0Ae1ZH93+H6dvw4E48sgcz92NWBuYcwdxMPP0zFvyC hflxYpQKYhSNQ4xqnRh6PkIGA0CEoAQ0Y6eIFj0EK1q1ZKTHlIzEcWHyDPKR t4oAEG/FI2/tSR2WVGHtTYw++jrQx+/I6Kew9DNGEkN8mvjPNfFhkA6QENb7 b/XfoZLS/1YJYqxB3ASwA2DXquieDbh/C2Zsx0M/4LEf8UQ6Zh/CU8cwLwtP Z2NBLhZxVnJBEKMQy4qombPiPFZKYpSPSwyjgkHJiPAVAAIUIBBhhMld9LZr NQqzu7AwLjQg8MNuk8GPvM381BvRO36YP018hX60mYK4YUkRFgmTfgSOln7U KqidUbwexiZlP5T+9SWIsUrYDICtADuXRXavw32b8MBWPLgDj+zGzH2Y9RNm H8bc45h/Es/k4Nk8rY5RehbL2GaUG6WMcqy5pDVgmInRnEQMmYxcx842qmr2 yIMMHRR9Bih0d2HkHdae+PNOrOhHuxEAdn6K7WNC44BOmCSqyK9DIb4lC9rH hC1VWK16WBD0aDaqHx1RbAmpJhClf0mByWZs/zK0a1WMbMZmTP8eD+7CI3sx 8wBmHcRszk3yRW5yinMTgJIC1GxGsWYzqjgxqTFKGbXYeANitHCp08hBhFNg SoCkhA4Ka7fJV3AY1sJ+kx7zcWU3wuQrNEQwNxymGMsQAyP0vhVtHAZDgKPV itr5S08M28PYrJIXpX8RSWKsRlwnbMZnoR3LIru+xb0b47nJ0R8xMx1PHsKc o5h7gqHxCxbyo1dyFkvPYVmxZjMqjWpGJfd5cuPWDWyGrHZSMtKBPYapEI+s CC45jgVFMiX4l7tjbAA4xvtHehjeIOlLOjjgZtBICCvHgBY2PUCPRkmPfsTu CF5XJy9Kf24ZxBA2Y9uX4Z3CZqzHfd/hgW2YwSXQY/vwxE8MDVNBg56u3zAO DWkzZB/XJaw1chNzn6e5cavFdD4ibYapZKGxAsDKJUdbfyIrjMfZOiaSuMG/ 8ZM/foPo14IqFYkM+V0Akf+tAQ4b2vWwcQBHi5G8mENJ6c8jaTPWAmwUNuPz 8I5l0V1rMSE30c9Nsg/jqeOYJwsa/DQV/4YXkqBhLoFe1u6SEDTkFZIkm5FE jM74YWjcWphxMR4r+CEdEmHVIuGf/r3oYGiYyyMaQ3RDYgZIaoYkooPCzqEn RJIe8quhNYa9YewMKHQo/Vkk65/CZmxeEtn2dXTHaoR1CJsQtiBsR/gBYS/C AYSDCEcQMhF+RjjFP/Cn+TLaWYRzCMUIEhrlY3KTK+PkJq1joNGlnaLGK5xG yUK3DfHH36qD4gZhMOTv4oaERh+H+AOw1aH3+1P4kBs4EMdYdIhPtiNwGO9Y 7HR+xPSIYm8IO/2KHkp/cFFuIh+AL6OwPAZrENbjnu9w/1ZM34EHd+ORH/na O0A2wCmAPEELgALpNABKAEqLsKwEyy9gZRlCOXeMVyFUI9TQxfYUBY1mvT88 CRrSZvRqDRI2c8nCZBuGuEQQJ4ONwjk2BigSGCK+muFDbpqh9Jm4wR0gtl79 I4kMGQuQODeS0CH+8DYCxZCAxmA8JD367NS7ggNRtESwN4idvlv9o6GklELx G+6Lo5v5sJU6NADkZZN0vtB6BICgcQizj+KpE5j3M54+hQXsNIqNmgbfN6nU b77XAtRdxnqehgF1CPUIBjSupYIG3w1JsBnSY1iS0xDj8Xeyw48jwp4YqQDi 5H9xyOxVfg80mBuCGNBD3DDHWIZIgBg1kAR0yA8O0B+bQCf+kIM4xBGnB0cP N83iQAQtYewJYOvQrf4xUVKKC3SnsZ6roFtX4Y61uGsDO41tcadxLB1PHMST RzEnE3N/xvxEaFw4h6Vc06goxcqLWH0Ja6qQoAHQwPdGyWlwQQOaEMznJilz E8NmWFJlIoavEA+dQAf/jk7AxSDHeAAZ4H9rAG9kOczQ6KUgRAB1qtsSu0xt PeMwRO/4SshfZHrFNsmhc2PI+AM7cIjDwQEO7HNgJx0MR3EgjJYQ9qi0RenW SxJjOYCAxjqAjd/g1pW4fS3uZGjs24oHdmDGD3hIQOMAQ+MIQ+OkDo1fsegM FhckQ6OqAmsqsbYa6zg9aazjQVsALdw33ipnYnALKBjQ6ErMTaTNSCpymtMQ MyIEBPgXtGu8GAsQRgeYix43hUaPxg1r95gwGGIAxORAHIn0kP0b2jdlWA4T Ogx6iIAhCmE82ogeERwIoSWAPV5FD6VbIjBDY3507RLc+DVu+RtuW4M71uPu 73CvCRpHD2BmBmYdwezjDI0cPANw9le6C0/QKERzWYNqoQY0uLOrqT5+dCKg IR4Bah0H6GJiALdyQaLNsFviD5fD7C6SHIXEggNdAC7+Be3mcOnvuFPSQ341 aTnGokOHhiMJGj3cZC5B0ZUYvwcgQC3udBZjJCxmGCZywzmUEDCMlmGaIkLH tfYwDgTRooyH0v9uiR+4uVzNENBYNT+2Zgmu/wo3r8Ctq3HHOty1Cfdswf3b Mf0HPLg3ERpZOjTyNWiUmKBRUYaV5aYMhcsaTXJqXyO2SGjIgkYbEjTEb2+A Xt1m0GMFYGObkfAbeTxWGHwY4gBw829ntxEOU5jo4bIncMMpuWHq00iARk8c GoIMYIKGpZODm1fHBUiPZlRkOgO9mgMxyqQJ6LCPQcewFgId4MReJ6ctQ1G0 h3AggP0+RQ+l/z2aiTiHa/7LAFYKaHyG677ETcuRyhrf4q6NDI3vMX0XQePI fobGYYLGqSzMy0Y6QOErrsW/YfENyhpyMrAcBXyVoXFNg0b7dZROg6qg3VoX qJXDZrbxprKh8btYw4UZDiKG9RDo4EeM3k+ix6CODoMbtoQqB3GjLzE3MYgh USD+hDxhg/jQqUODr8lYOuMMSbYiMgzmMD3sifQY0unhTDQe8jt1SXQ4KQQ6 bE5quW8bjqIjjPYgDvixz3Orf6aU/sX1PuIsgYxJzm8AVszHVYtx3Re4cZmp rLEZ932PB3biwT0EjWM/MTSOmaCRh0ZZQzMb57HcXNa4nFjW0KHR2qxBo7Od Ju9pRyc9NL+CrpRKp8EHDfKsAewpHqJkUIhwoscIAPmOQIdHxDjcSE5VGBpD 0maYiWGYB+PZ76SsSuLCIu/WjQlLUnTSvA4L/4txT9KjVVAdprRFlnydtgRz ZaDD5eRwIXCIP0yXM9YyFMHBENoCaFXGQ+n/L00X0BDpyVsEjeXzcNUipLLG N7hlpamssQ3378SM3XhoHx79CU8cwpPHMOeEdoBiLmuUJJU1TLVQMht6WaO5 UYNGm365NQkaFq6C2ripErixwaHnJqCbdnp2hhJYEceFi8Irw4leAHor0THE 6EhKVW7KjbHE6NQffx4JqCGinaNtnGjXA6CPr/HGqdI5Dj1MaYvZeGjAlN+1 SwsYodxHfPH24Qg6QmgPoE1VPJT++ZqG+BHi/DeGKUOZiysWoMhQNizFzX/D rWv0ssZW3L8D03fjwR/xSDpmHsKso5gtoZETz1CKZIZShKVJZY3qMRmKuazB E8K7uEmjR56e6NCwGtDgRkrqyuAjEqd+oJASFxorRih8Li3oI4nouCk3nFZq J5Pc0KDRlUgMCQqDAAYxrmNvK0WPKXqvmwKgl8+MepNgYqKHMDbxtIVPacca D5dDd1kGOkYIHfYRolmPMwpDYY0eFtet/kFT+tfRVMQPEee+RtD4Zg4un4+r P8X1X5tqoRsTaqFHDuCxg3jiKJ7MxJyTmJuN+QBn8vAsbzYR0CjhsoaWoZRj FZc1KEOpxforbDbkbiOZociyRpueofCwXzM0bBIasqZhpw4o7XQVQP6qBU7t 3S6Tu5C4GBuSHowOwQ2v2XKM5YZs5GBuJJiNJGIYzqFNg0CvJEYL9ohopuji oPdb9BBPdAuRBCRSDJi0aejok/WQROMBev98kvHQ0GHiBqHDjQ43vYY9rmi7 M4LDgh5BHBhVxkPpv68piB8IaEyk3uqls5EylMVaLXTLKtz+Le7ciLs3497v cf8uTN+LB/fjkZ8w8zBmHSOzcepnzDtF3CjgM5SiAiwuTDQbFVhVSWajtoa4 IaBBZoMzlBaZoSSVNeSY3z69rJEEDeNMgXMTF4C0GdKcx3HhTowkegAQQAx0 jMcNaTksfDxq5oYwA7KCYUpGNPNwXTcYkhjXsKsJO81xjaLrGh2bdvGEwzhJ WnRbYqKHJYkeEh1jKx6DY7IVHR1ON+UsFnesyxVFZxSHhPFQ5Q6l/5Ym8wHK 7AmOz2ZEZIZCZQ2uhW5eiVvX4o4NuOs73LMN9+3AA7sx40c8dACPHsTMI5h1 HLOzyGzQPZQ8LEg0G6VsNiouYuUlrK7CGi6HSrPRqJuNFjYbbZyhdHZgF2co vbKsoUMjnqGMhYZ8TAQ6ADxMDPGYgHsMNFICxIQOzXLI0ugYvzFk5oZhNkzQ 0AyGePlMxOiSxGjEdhFX9WjUA6CdO2PjJDE8iQEQSY9UxkNrEtONB/1R2YC5 +KXQXhA9jBsxdkE2eSdOhEOVO5T+EYkfmrf5AGX2K4OLp4VkhrJyIa75HNcv w01/wy1rcNs63LEJd23BPdJs7MGD+9hsHDIlKTmcpOTjWV6pJsxGCZuNsgtY zpUNzWxwktIguGFUNuQuRbkcrZ24QSsDOEMRZoPOXq16hmLTzIa5e8GlFzQo PRmhsxKRffg8KAI4Ahw+I8YChNEhEhyvGR3yHFaWUODvEG1gSSKGZEUDttVT tIoQ7zdQYxu95eWzcZKYGNIpvkhLCuORgA4jZxFk0ws+Ro2UEjc2YCBZKl8T 8ZmjaBXvuGNqiIfSP6CXECchTn+4Y9ZL9oVTgpShzMLlC3DVElz7NW5YjptX kdnYvgF3foe7t+LeHbj/B05ShNnISEhScmWSwscoRWex+BxeMJuNCqxmbtQZ SUoDJymG2TAqG4bZkNDg8Zt2PnJNcBoOk9MwoOFGr5vhwOiQxDDQEUhiiIEO w3JIdOi/qUk2bdwW9U6Ix5MHj1OS0qUnKXrlUzMY4l9pThj/RY6CidFax3GF Q74vjAlf4ouTJMmNNOn0aNXGLPeOrXjoQwMM1wF8wAQOvVAsz5L0F8erowNG 6Z1WdwRdIYUOpd+vFxDfQHzvwbaPn7fNf8f/mfhZ+hi/mY8rP8U1X+K6b3Dj 33DzatwqzMZG3LWZzMa+nXhAmo10qogaScopmaTkYwGP1ygqxOIivFCCpYbZ SKqI1nOS0sjc4DXN0mx0pTQbOjQcshaqN0m6TFl8AjRGKQIAAfF2FIPiAeF3 tEgCiIEODtIQP3TScsgkRbZ7SW6YK6Km4xItKwEQbgFMHoPu9upqqcWWGmyu 5RCAEW+v0NKoFoMkZoY06AxpGsd4yC44U84iL/cNpaqRmrlB6BglPLrolYkB oSOIwyphUbq5nkV8DXHq/dc/enZg7iTfoulhMhtzcflCMhtrvsb1y3HTStyy FretpySFzMZ23WzsHzdJKTjDe58LtZk8UIpwEaGCFjLK8Rq0Xk3elL+q3XgF eXktyWz00moAaxI3BukOl2yrTgENjwkaXgrhnyi8GjqCZnqYABInBlsOrRMs JTfYbIC5smGGxjXq7qZ6hZ6VSINBuBCIqIkDpOkybUsRb8UL0myQhD+t5YrJ k0iGjKFH73XttFee0kI30Uwrd1i1rvukGqlHHi3p3PDyCyISOuco2gkdYRgJ otOPgy5FD6UbaALiO/e2znzaOvvN0QVTQ4vFz9xsMhsrPsXVX7DZWMFm41vd bGwjs5G+BzP2cUXUlKTk/MxPBDeIynWuxXI4j9zSmDRnQ78vr61a48pGG5sN kJfX+CkA/ReolqQY0DC44dQOC5Kh4dWhIcLHIdHhRZAfHNUiID2J+K94uIgq Cx3mAqnBDaNtQyQu3cwNPUNJgIasc7LHMIhBWLhM0VSNTVXYKKIyDpDGahTR xNFcrX0mhc4TwkgSPQCEq5H0AH7RtB6PHrocB0Zrh57QxdEhuZGIDg+hI2Yf jfZ5JDp86HAqdCil1IuIk/7SPONJy8eveea8G1g4Iyp+3r4yzMZXuG4ZblzJ FVE2G7u24p4dCWYDDvEAwOPaIyCSlHx9olfhWUpSSjhJKSvD8nI6Sanik5Ta Wqyr4yTlKjaJJOUayivz8auv8gqb+GWqJymgN5OD2WyYDhklNLyjidDwJYZA B78DBj2kFZEpjHAdJm54h7kykMQNeYwiuaFnKL2yrGFAo4G4QSULMzFMuGi4 xAFQX4H1l3jKGUv7eCVFowz+V8iWmOkhX6hG2mJJVZQWU9oiKx5mdJizlVSW Qxoz8WowOqI2QkcIRgLoEugYVuhQSpKWoTzeP/PVkVmTfPPfi5uN5Ytx1Re4 diluWMEV0W+5IqpXNmA3wo88NRTgGMAJOQnwJJ7KoeJG/jjFjQrBjUqsqsaa mlTcaGG/0cYnKZ3Y1UW7U3t747fYbFyclEkKlR1MzV0SGh4TNIgbZlz4TSEo 4dc+DhIjXj15YW4EZDMYQEpuyONXm7yzJn7Fm8oaBI0mrkXwo91ay9mHQQwD F4IV5RTCcdVdpPStTg9Jj7py7ROIKhU6ScRXkPQQ3owzF2jg+gmXTLWih6yX jocOR2K2kpjQ+WhEB7i9sSGvQEekV0OHGtyhlKAnEF8RGcpDHTNedn30xqg0 G0vEj85cXLYQV36Gq6XZ+BtuXkMVURo1vJVHDe/CAwAZchJgBh47jCeOYdYJ zP45kRsFY7hRQdyoHsuNplTc6GZu9DE3OEmh4oY+SY/OGfnKp8ulHyy69V+d OjQCY4kRoAiLANDCj+CjMNIWzXLo3PBwadTghnYHlg8vZGUDBDckNJrp+SUP UI9tV4gbghhgJgbjQjCBEFFG0Ki9gCLgAtaYoraU6VGKtWX8aRIpbEsaZGbH yQs5mTo9beEN2sZpi4aObm2cO/DVP4mOpAKpVj3WXzdhObwALkJHxDYa7vUE we1Hl+omVdL0MJ+hvHVv89TnHTNfdX88yTdPNxtL57HZ+BzXLOWK6CqEtQgb cSfAbn186AEubhxMxyMH8dgRPHFc54bIU3Lx9K9aUTSBGxf/e9wY4NUhciSv A4eG9K5y8StyBN1sNoBzDfHD7xsLDYMYRhjcYHQEDXQwN6jFlK+8GdxwJnJD Xnel6yfXuXtcQqOJq6ACGvKUpIqKwEQM6S4YF4IGggyECICaYioaV3FUG1HC wcZDgwkzhCpCMqnhuc0ybWlmdLRexbZGEzraEtHB1SENHaazFZmt+JIsh4/R 4YsKdFgNdDhHFDqUxE/A04gT76yb/HT/tJdcH74+OvvdwIIZ0c/YbHyzgCqi q77Etd8g/I1+W20F2A6wcwvu2qYVNw7sxYz9idzI0rmRN4Yb57G09O/hRsfv 44buN4xmSK9uNjQLkQgN4kZQD4BIECO0bwSIIX7dcniJGz7mhrzvJuuiYOZG r4kbbXyXpFnPUBr56KQWWy4TNxov0fkREYOdg4YLEeeZDwBVhXTeVMFRKeKc HkUcxWw8BEPO0ycLetTwyHeih8BRNTbWYBOjo6VeR0cTTWHV0NERR4c2QVHv I00odLgTuCGQK0BKhQ5CR9g6GuokdPhwWBU6/t31BHd5vfFox7vPOd6fQGZj 7nuhhQCfz0KYh8sW4colCF/TD+1GgM1rcet63L4Jfw83cpO4cQ6Li2/IjYZ/ BjeE3/Cghw8T5UGqTFJAeonxoBFEYHRE2HVIdFApdVTrHRXckAM6ZH0DzNzg tg2L4MZ1lB2hEhrCbNCxqQ4NYTOodlFKyYiGC/YSVYIJAJUFVAIq/w3L+K0W BRxnKYgn5+gzhQRDqs5zRiP4w2lLHaOj4TKj4wqjo0FzHQno6NImvUt0UAu6 qUYqvkGvvLlj4kaAyz4ef8zpizgEOrxBGA0gocOh0PFvq0cRn0d89YFrbz9p e+9F1wevj856JzB/RpSSlDm4dD7Cp/RjswZg3QrcuAoTuPF9Ijd+inPjpOBG diI3zqbmRtUNuHF9HG5Yb8YNN3PDq/3k+/hQ1XAaAh0giREiSkTEWw5gehjo kIcshA5PnBvaTDAzN/qYG50aN0SSAte0Kyea2aimlgyChrAZjIsaiYtidhHC VxRgBUD5aTqtLv0VL/BbLU5znCGYEE/EpwmMFLLxEP+6+CIXsFoYj4tYy+io r0pGR2sj76Vq0bblSnRYeRBrihppkuXQuRHwm9ERsmjo8OLwoELHv6Hu5wzl 5bvrXn+s991nHdMnuD98yzdnKpmNxR8jfKJPEP0S13yD6/6GG1cncGO34MbO RG4cwsyjqbjx263hhldyw08/+doBaxCDDA0IURjcAEkPHR1hPlgJSHSM6qkK c4NKKINUFwWdG/ZuvUcUQJgN4DOUNsNsVNLq5/qLbA9KKCXR8o5zWCFcBNOg LB8hDy/kYrE58ihK8ikETC4ASIYIW1J2lv4tKCJ0VJ43oeOShg6RszTzYjuJ jnYDHe3aUiqt0GGNFzoIHaZ2Du3w2uBGgPDr8Ued/ojDJ9ARgFE/vdCKG/9m En/fjyM+hzjhobZJT9imvuCc+drox5MD86ZFFurdR98swuVLcNVXuGYZrpfc +HYMN3aP4UamiRv5ePo0caOQFziauVH+3+aGnZs3UnNDpCpJ3JAZCtNDOA1p NggXYQoIJ3KDPzPAqQqM0u9f6iJzUcuovJtv5oZN50av4MY1rZmc+rtq+ciV Dz5EegIlWCNxUUiegZyDMBLCVABc+AUhB4tzsNAcp7BIxC9YLEL4C8YICIac xgtnsLSAdlSJl7SimNBRJXOWxHKHRAetqeJCh7ZrxshW+nR0yCuBuuVwmyxH wKtxI8jFH18g5vZHh/xhu4GOEdVH+m8k4DOUpxBfvL/ptUf6Jz/tmPaK+4M3 fXPeDQH3en0+B2E+frMYV3yOq77GtWZubMDt3yVy40fixiEzN06m5kaJzo2y JG5c+bu5Yb0hN7QSh+SGz8QN4TdCxAR5gCKJAQY3GB1hMzfYcnhHuSHExY8V c0N4e7opZqEubskNOWGDuHFVq2y0sNmg0xOA2vN8VlJIHkMQo0wSI49cRPEp LM5GOImFJ7HAiJ8pzorIxkIASRLBFsKIAIgwIcJ7/EbMAYEgrppW6cbDKHc0 1moLuI1spVNaDp4QKCc5g3GQbRxIyaqyoITOjXiKJz4eiLr9kSF/yO4L9hA6 fDiiaqT/LhIZymOIz95zZcIDXW89PvDu8873J45+/Db1Vs8HWPR7uLE1zo10 wY0DeCgjkRs5N/Ib/wg3en8XN1w35QajIxzmimgyOmIRWfoI0MMSYHTQicxo zCsth5Nn/Dp47IaZGx0J3GgTZkP8uq9CKodepN4MkaGIb7+ygKqdlG7kY2ku lpwiIyFwAVlYkElx2ogTeEZEFm2nKhBvs+hzzp4kjJw9hYUyi/mVjYf4OxMs MoyHkbNUYf1lWkBDJyzcfNvOQZ23KS2HOVWRlkNWlWV+J4K5EQjGPISOMKMj 0OP1g1cN+fm3kDQbT9556cV7Wic+1D/pqcH3XnbDG3SFa+60yAIubnw+F2EB LvsUV3yBqwU3lqfixnbcsyuRG4f/u9xokNxoTuBGeyI3+sbnhnN8bgQSuUGW I0z0oGwlYs5WYuFgLMyfLP4tenZ8Ma83Bp645XAOadygiT2J3Ojing1gs9HE ZoMOUACqi6jCU6HbjJJfKCspEtBgYsBxPH0U849g3lGOYxT5x+hKYP5RPH0M 4RiePs48ycIzwopwFkP0yCfyXODyUdk5LGd0VJZi9UVqCKkzrcikbIUtB8jb K/K+Ty+XWGXTvrxlz0uatNEcHq0BRrMcTA+yHMGoOxCR6LD5giJ7IaQqdPyr S5iNRwGevavh5ft6Xn9s4J3nnPDq6AcAs94NzZ3O3JiFn3+CsBCXfYYrBTeW MjdW4sY1qbixJ5EbxxK4kT+GGyXjc6Pe4MY1bGZutOrc6OQ8pUdyw6Jxw6Zz wzGEQzfkRrzEMZYbEXp2pPHQvIeGjhhxwx+jTlFvzEuXQzkJclIdgFY5y0lf zA1LR6z3eqyrJdZJI3diUEN9odQRKszGeXqEKwv5mPVXzWYUiexD+AfhJY4j CGIcxrxDmHsQTx3SIvcQvXriI+IdkP/3MOYKpBzH/BN4mhOZs4Iev2BRHqGj xEAHQAVfGKwux9pKrKsmy0EXjbkLnc56TFWOPsNyDCRbDrepOgo+7Qgbgmw5 OItxB2POQNThj9j8IbIctLNKoeNfVuKv9kHEJ267/Pxf2ic82P/Wk4PiJ+F9 gA8nBWZPCc2bEV1o4sbysdxYl4IbB/YlcuMEcSPnd3OjugZruC5aX0/caDS4 0UrcaGvXuNEludFP6LDK0qgd7Xw5ZTxuUGnUxI1AKm6IIL8RQYkO7SOhaDgY DRA6YsJvSHS4PYwOF3sbB4/rscbsvTHoimncaI6KRKCtnrlRyS1epXyGItsz TjM0hM0QjzwnIGfYYxAWMvDUT5iTjtk/YXY6B0D2ARQB8v+Kj2dgjkDKEcwV biQT87PwNBuPs79gIaMD+KJxqUBHCVZc0McUVCFc1tfecYG0jdfQyLHwtIO7 l3fpsuWQ1VEaYCI7z02nKvESh0RHkNpj3FwScQQiFl8ARtXZyr+sxN/rfcJs pJU+ffu1l+7tnvjogPgZmPqK5/3XfR+9HZg9NaxxYzZ+Pg9hEXPjS+owT+DG xlTcSE/kxs/MjVxy2pIbZ1Nxo6ISK03cqJPcaMSma5yqJHKD/Eavxo2kIxXj XpvghnMEXcwN92jCkYrPnKowN4IGJchpxChkvVR8MBQT6AgQOqJef8zri1HH 12iMDh4FmoZjQ47okD3qALD1RaEr2tce7WmNdjZH2+iWWUw8qk3CbJRxc1cR t2ec4aOQHCw+iWdP4JnjtBUiX3gJSQyBiH14ch9m/cgBkLUXRcCP+kf2Y9YB zBL0OIjZh/HUUcw9jnlZmP8zraQRCCoEKOLLgzThpIgmnIhshTbtXiLLUV9D S6yaG3jHriyQtunLuHtMs53l+CM5+EjeWPGYrgTqhg34HEqEN4ieIDW0OAKh HvEqe1SB9F9T4i/1AYDHb6t5+s6Olx4Qzx9Mft713oTR99/wfzw5GOfGHPxC cmMJdZiPx41dSdw4mMANylN+YW5w39fZAizkH+mSErxwAUv5Hn3FJayswurL xA1KVeq5NJrEDc5TaHN0T8KcPbOM221xuePpuewzl/2iccshuCHokcSNcFTW SwNhDAh0BKOgoSOqocMTc49EwRkZckQc9ohdOJ++sKUrAsSNSOe1SKvkRrVW 2aguoc4u6tD4FeEXgkZhJhYc48REpCE/0SXi7P14UlBiN57YjZk/4DERAMd2 Icj3RYiP78XMHzFT0CMdszIIHTlHuXwk4CPQkYMFv/CLw325wnKUFWvbrKor eG9mjbaSpvmqvi6T58P3MDfkOgk5zERywzmsXSs27gYGTNwIMzcCIdTpEXXJ 68lethyOtlv9Y670T5YwG4+klT1xe/Nz93SJv+fXnxqa/MLIe696Z77p/8jE jc8EN+bHuZGcpwhubE7BjYOCG0eSuUE/2L/imTNYoHOjeAw3qkzcoBJHYwo+ aCM49KPYPgtqpyrjpCou09RureGcLYeWpOu/NE2Ww+BGNBiOBhgdvlBMWA4I RJgbUY83Sl9zJAzOsGMo5LCHbAMh2sLWHYL2cFdrpP1apAWg6Uq0sSoG5brZ 4EYLkaFANhadwAKRm3Dt4hQTgxzFHjyxCzN34NHteEQEwKHvEb7HQ9s5duCh nXhkFx7ZjUf3Ejoy08mQnBSJjO464GeEU5T4FPLE+JKztAiPVu7yjgm5OpO2 WdXrSzObdW7IpRJy4R3PM0nihiclN0J8kYfRwXSNQCA0FAjQ76FRthy2q7f6 J13pnyZpNh69rebJO6+Lv+EJjw288czwOy95pk00ceP96ALBjbnMjcU35Ma2 G3KD+zdO3ZAbZeVYLrnBpdEaEyUa2W80tyaWRru0VCXpVOXG1dF4tmJcV5Fn i2w56DemdggbC1MwN0KRQCgsq3/eUMxLz4VAR8TrCwtuuNwhlysIwwHHYMA2 EKTrbD1B6Ah18ilnC88ru7GEzcgRD/6PCHvIYBAxtuGRrXhwC2YAZGzG9M0I WzBdxlbM+B4ztuPBXXhoN1FFuBFCx0E8eZhqqpDJCUs2nvmF0cEt/bStu0Tb aUVjny9rM59pUHyTvpKmjacvyg1WMlWxUf8tlTjkBCQ5+2gMNzTLwbwNUDYX 8QZDEAja/X6Qc4yH2m/1D7vSP033Ij6UVvbobY1wd/vzghtP2N56dvhd5sb7 cW7EJDe+XPA7uLFjDDcO4zE+T8mS3DiVUBo9exYLz1H7U7zEYX6chOWow7oG rTTa1Eyl0RZGB5U4TN1fPX3cuSQth22M5RgPHXqB1BegbCXelhCicgdb7iiV Q0MRwQ1fKCzCG4owOiKeYFj8SvX4gm5vgPqjXH7HsB8cPqvNb7H4+9gLQWsQ moLQQAsjGi6FoTRSVRSpKIiUApTkxuDn2NnjsdOHY7npsfi3vBOPfo9HtuDB TZi+icaY7N+AIkC83cixCfd/h/u34IFtmL6dqHJQoGMvHt1H9VLIIHRkH8Pc E5jH63cFN7RlE+f0tVYXefIzj4vXFtPIBROt2koagxtWqz4Z/u/hRlBYMn59 XMEgBALg9/J4I0B7463+eVf6J0iYjfsBHrqtBu5ofhrgxUf6Jj5lf/t557sv e94zc+OvzI1P/iFuZGjcyMzU79GfSi6Natzgyj+pIjFV4dJo/VVKVaTlaDFO Y9s1y9ElLUf/zS1HQoF0TI3Ux+gIBPV7KzJtIXREgP0GcyNEIZKdYMhDD4Xf 5fU5R71DAHanFxyjFm68pF1FHV5o9bU2+Zvq/dRVXhGEC8HKc6GyM+EL1O0Z hazImSORvIxIzr5oFpUvYrBDB8gGPLAO9wPsWYsigN/u+ZZjHe7ZgHs34T6e c5IujMdOqnsIoyLQIVzHCeE6jmJ2Jp46iXlyA69cblVIyybKLmhrrWhiPO+0 ohJHo7ZgQuOGnPasj168OTdMJQ4+uRbciHpDYXcw5AwEHAE/+Fz/Q21P+FcR JSlpZZBW/zjAsw90vfxY/2vP2CclceO98NyZydxYeTNu7GNupB/QuHH0aJwb OUaJ4zSe+Q1l2Z9UQpe8ZInDSFXoVIVLHHVc4iDLcS3ZcrR3pbIcN8xWNHTI do7Ejg4f39US6AgEtWMCth+xoEhMhPEOhXzEjaBHhEBHwO8Sv0x9o0OjniG3 xyGbtO3uPistVOns9LS1jELjaGOdtx6gptwP5/3lhYHSX4PF4ln+OQTHQ3kH wzn7wyd3RzIBDm2PwpZoxqaYJIbUrpUIK3GniFVa7FqNu77FXQIpG3Hvd7hv C4IwHjsw4wc8JJfwZuCJI3jyOOZkaUt4C/JRpiq03Oo8L5uooHV4tGlC7rS6 Ssfc2ha8dhrAqHHDwiPUjCMVOXHRrR2p+JK4EZLooKKQgK2PLEdIWA5nwG/x e2DUoRav/GvoPvG3nFb1CMAT91x/7qGuV56wpOJGZO4HGje+SuLGinHrG4Ib +3/UuHFIckOf96VxI49XIYg/AO9BKCqiG14lF1KfxspURVqOpkTL0daRYDl6 9CqHRecGZSt6+2iKQodHmzjq1W+Iyyv2RA+ZuXC9VHoPkbMHBDqE9w4GPcGA O+inu2z+0SGfG7wjDo+LTlKGXVa7C6yunj4XtW20jkCju7HOTd2hF0ehxFta 4CvJ8wtUnjkRgMPBU+nBk3tDmTvChwAytkRgY2T/2ujeVbh7BZFhh3h9lqGI bXpsX47b/4bbxT9agzu/peQFNuHeLbj/ezywEzOM1Xj69PjcnxP34ukljgq5 EU+WOHgyklbikNzoJA7Lac/aXglZGk3JDX8yN8IhjRtsOYLOoLAclKpohY6O c7f6B1/pHxclKWkiOYBH72x66v62Fx7tfuVJ5sYLZm6EZjE3Fo71G9/gmhW4 blUCN3bo5yl7d5u4cYhLo8wNrTQKkCt/m3JpVKYqxbxCRXCj9GLyqUqN6VTF aABLsBxGD5gpW0lAh9lymNHh1tDhMdChT+fQMhd/DAJ06irCJ3enivQkGAAR AZ8r4KHecv+Iw0vbHW0jw+JBg8EhGBjq6h9qA2i9PgyNzoYrrprqkSqRgRV7 4LfR4lyvcFl5x3yQ4c/eFzi2K3iUKp8h2BDetza852/RXctiggzbvsKtX3Ha 8iWK2CwDQMSWFbhV+JDVuGMd7uL93Xu24f4dmC5X8abTKl5tW83P+h5enRsX TPsmZNu58EKNV+PXf2gGY1ecG1a9NKqlKi7tZrE2iGN8bgSYG16yHIEhYTl8 I8QNV6eyHH9q0Q9kWvlDAI/dfe2ZB9teeKz75WRuBD56JzRrms4NrosuXYyw BFd8hasMbqzVuLHtO50bO+PcyMjAg4e0I5WsTKSDQvHfzUHINaUqzA1pORJO VQzLcUWrcjRIy8F3VRJ6Rzlb6UzMVm5U6EiJDt14eHn0ruY9KGLgj/j8YRFe f1hb7BgIuMXvUL/H6XdRZcM3TL0K7kFwDtLAjYFB6B9s7R6koV5NQ3BluLrK KZ7TsiIXnHGfPeURRivvsBcO+E7s9h/5PpABsH99ENaEdq8I71wa2fZlbIvg w5IoLIlu/DS2EWDjYpqVtAFgwxe44SuEpQgrcIvcqrked27C3VtMi64O0Kyk TDlAnhGtWTuAIpEOnudksIKwLJv5BZAb5Xoa/aZbp75ggrgxkMgNp3YU6zVm tKbgRjTI4WNusOXw2/zClTkIHUMtCh1/Ut3F3HgA4OE76h+/t/mZh9o1bjxr f0vjhk/jxnSNG0v4HPYryY0vcdVSjRsb1uCmdbhlg86N73H3TtzD3DgguPGT fhTLqxCA+wpkqpLLqcppaTkKsZBPY2FM42i8kUO/q9I4NlsxCqTdWrbSKy3H 70eHTg+vQQ9qI5fzwWI+XxR8EZ8v7PMFvb6g2xekW/N+r1M8Cz4n+IYoQxm1 W9w2cA3QRTbbAPQPtHbbmuj42A51g9VVjgrq9x6GX51nc1yCmTkZHtg7enSH 9+Bm3wGAvauDsDy44+vQ1i8imwQfFkVgUWTdgui6+dF182JreLoaLMI1nyJ8 juu+wg28xTth19X3uO8HbYw8nczy2bccXAD5vOJK7sWT3eaX9I14xi2VZm0R Hi204oY6Y7sEyA66Id1vjOjrJFJxI0JdtdJvyFRFciMw5Pf0+ShVAWcbDtQq dPwZ9RfJjbTLj9zV8MT9zc88rHFjopkbbwU+FNyYIbgRlX7jc8GNRcSN5ZIb y3HdSuLGxm9x8wbcKrixBXcKbuwgbuwT3NiP6YIb/GNMTQWmVCWHT1XIcpzB MwW65SjGYt72mKI6qh+sNDToluMfyFbMhQ5zmdRED4+ZHjzHmCPm9UbBG/F6 Qx4vHby6vH4nN6MKp2HnX6N0jOKxwogFhvupbcPSDz0W5oYV6gaqK20iNbhQ OAj5jtPZw+IbP3lgBH4YObjNQ9BY5YVl/m1fBbYsCQporJ8XXvtJGOaGV8+O rJoVWTU7uhJghfhvzKP7Qas/wzVf4LqltMhb263JlZBdcpK8sHnpVFOiLVdZ NJ0DuFumgLvN6eqxeHnFa8tMlp382vUfuQuvPX7RmJ5x061YYxyHZKx3nDwl Eja4EZElDk8wyKnKqJW5UT/ShY6riht/Rom/vvsAHry95tF7rsa58ZTkxvA7 rxA3ZkhuCL8xU+sX1bjxGS7/guZvrF6Ga1fi+tU6Nzbh9i36kYrkBkC6+C9l 0C2tY7L7S59OnJ2Dp3IxN58thylVKdZPVf4Oy5GYrcTPVsaiwz4OOqTx0Onh 0elhXsUOnih4IuAJgyfkHg04R/1Do76hUTpDsXsHKUkZtVBv5EgvOHuoIjrQ 29LbC+19DQA1df1QZSkTOcJZG+TZ804O5gj39eMw7HCmb3aJh33XMg98Obrp U9+GBf61AKtnBeGj0IoPQstnhpfNjHwD8M2HUfEW5tL8kxWL9TV5cig0AL3y W+llp11X+xB+QjiMx2TDjLxIeJpMHV0FKiFuiDRQvLDyVa0zrg226ATWuaFd +ZGjF40lViO8ekk23I7PjbCJG5yqBJwBr91HVaAWdy8Mt6ClQqHjzyWZpNyf VvHgnbXEjQdSceM15sa7GjcWSW7MI2588xnCF7iSubHmb7hOcmM9c2Mz7pDc ANgn/hv76KqFHE189DCjw2w5OFXJS0pVuAEM9OpoSsuRUCBt1iyHuYM0IVtJ OpY1TR/VBnToI61cY3o4qQrqoXHlRmgaCcJIAEZ84Pba3E6rZjb6wN0j/mG7 swscXXSXra8L2rvrAarreqC6txSguMACv1hzswZOijxi9yBsc+zdOCx8wvYv XfCpe918z2qAlR/6Vvw1ADOCS6cFv5oW+hLgyxnhL//KuzVn41K+kiy8h/hM OgcXL76x7mon7t2D+/dTTYkSQ8GNn+kKLcH5DJGZ+nLP4wXBZAFk8arqZ9w0 pkCfUdAm2WtMUePXTYOtHILEdNXu+Mgm28DNuCFTlYDP7ncRWj191a42tNUo bvy5BBo3Kh+8KxU3Xhye/IpnKnPjgymCG+E5f40u/Cj2GYDgxpcLcSmn2Fpp lLmxYS1uWo9bNuI2wQ1pmLkNiTzzfv1WrEDHEW0Qh7AcJ7MxW6YqbDni1dFi reccZHVUWg55sJI4kWPcAunYbEVHh3ZVVr/y5pAQGI6vg3Sx95C3MBJCbm6S /8gZk79wBWeGnD5wucFFX4nKGiNdMCJyFGgdEo4DmvvaobOjDqCqrhOqu0rO 9xaJj57qz8m0nAA4tMMG39l3rRvcLjzDp8Mw37lq1ogAwtJpHpjqXfKuf8k7 gSUC1+8GP5sahhmRJTOjnwt08B+ZjrQEt1fQkQqs5wxR4FpwYy/uT8eMw3gk EzNPYlYO9a7n/ork6Li4UawnKRWXsaoWa+q0xhiNG3yuLQ9T5Esn5xIQNyRj pTHj4ydjkQros53j3Ahr3Ajo3OBUxT/kH+nz0WvV5OoAkar0lCh0/InEJynn 77+9SnDjkXuuPv5A89OCG4+Pw41p4XnMjcUASz5JfaRC3FiHmzfiVpFob9P2 PNKRyl69+0u/GHtMNnJkaXfcTsnq6K/c02iyHMVJlsM0kSN+0+2q3gZmshwJ BVJTtkLc0BfI2uXiaSNnMSaD6fVSSQ8NIEYIVjh5do0z5h6OwlDE6Qg5GT62 IZdl2C4h1E5dG9Ay1Npsa6VcvqsVmtuqAMqqO6Ckizrccnqyj/UeExncNgts sO4gaNhh/uCK2UMiE/nqPSdMdi2e5F74pncBwII3/QvfDsA7wYVTw4t46dWS uXS18JvP+UhFQFu88uJl34o7duKuvbj3AO4/hBnH8UgWZuaw2fiVzMYZhkbR BSy5iKWXsLwaK2uw+grWciOuLG40ixfQmE7QqxWWx3LDncgNbToxN8jpIxY1 boTj3Ajr3HBbfXRBuWWks3SoEfvLFTf+LBJ/T38hbpTdfxtz417mxiPtzzM3 Xn3O/oaZG+9KbkQWfKhx44sFdKTyzRLqKFi1FFcvx7WrcP0a1BLt78gw7/ye fvcJy7FPtxwHZePoIbYcx6nOn2WujgrLcZpHRrDlKGTLUTLGclSz5ai5Eh/K oWUrYy6tJDSfy04wiQ5Z5dN31sv10/KE0Vheb9CDAMLhNkJ4jGEeJToUdToi MBh22oMOW8Bm91nYb/QMdfF5QQuVQ+3XiBvd16ClpRKgtPo6lLSfFQ/yz51w uPsIwP7v+uDb/i0AG+dZYZZt6cxBkZIsedMBrw/Pm+iaAzDn1dHZE33whn/O pMA8HvFK0ww+oRYa+ApXrMA1a3HdRty0BbfuwB17cPd+3H8Q048yNLIx6xcy G3ln8PRZLODhG8VlWFqB5VVYUYNVV7CmHuvEayhv/bBha5XH2T3xAylt7qJE q3NcbsS3SDA6xnAjxKlKwBnw2Lg02u7uqhtqAmsVdpy51Q+E0u+S4MbdxI2L ghsP6Nx46pH254gb/To33MSNSYIbQcGNue9HFnwQXTSLU5X5phIHc2PNSi7Q raPSKHyH27bgju+1bnNpOdJlA9hPbDmOxO+qpLQcBWw5iko4Ey+lE0OtB0xa jsvjWw7zmSyb7S5uQqA+BB4IRk80756m36EDSK7DRI+hQd14GPTg0EGhhSyG 0OXQwZjTHgVbGAaCDqvfZvFarMPiWWsfbGsT/6GhRvGmznJVvK1uo/dLq5vh fKtgY87JdjjYcUh8aEP3ttU9grfrZvXDTIvIQRa/NQATbHNfHvwI4MMXXR+8 PAKvjH440fsxwOwpQUESmE3FDfHKf7MCV6zBNRtwo4DGdtyxG3ftw30ZmH4E D57AYz8TNMhsnMF8AY1z1BgjMpQL5VhaieWXsdKUoTTKYymT2ejqxR5TPVkW RePckAfWSbOdTSur6B4xXaiPSW7IGz0emaoERu1+J5U43D0Nw80FA9XYU6Qs xx9f4m/oLgAzNx6+5+qjOjdeelrjxtuvuKe85psuuPFOcNZ7oTkzIvMFNz7W SxyLcOlnuOwL2vO4ahnS1jaRZX9LifaWTbiVS6M7t3MXh7AcvBBBVjnid1XG sRyn2XKclZbjPLedlzE6jJtu8nJ90mW3pEsrbShndBvZCg3aZXRY+MKFGR32 seiQxsMcDppVLoNWEQ3y/GE7DdAbskUdAxGwhhyWgLXX19fjFE9c50Bzq0xa Bq6IN1UdddBw9YJ478I18Q1mZ7VCehsdM33buWl513rxzsyeJdP6FglH8VI/ PG99H2DGM4PTnx+EF4ZniPcBPpjk+2gadVTNm4+LRYayHJetxtXrcf1m3Pw9 bv+BoLE3Aw8cxYNZeCQbM3+h/jqCRgFBo5CPqOIZSi1W12FtA9Y1YsM1bGrR MpS2TmzX5y4mJylGUVTnRvJMePOqOzmCgNMWulCv+w3mhtfhd1FLrae32dlS bqvB3vOKG398ETfSTsa5cWftQ5IbD7c/+3j3i0/1T5DcmMDceIu5MTU0d0Z4 /syIVuKYh18sxK8+5RT7K1wFsGYFApc4NsoSx3d0JqhZjp2JVQ6953w8y0GZ uEBHouUo5UXJxh43s+WoS1kgBTCyFepfkjtWeqlrWqLDItFhJXTYEtFh5CwJ 9HBwDOph5+DmDccAOqwxhyUKfWHoCVq7/JYOX48+c4OGh/TSm7ImAsjZ0gbx 9uSJa7C/ha6trWoT0Fj9UQdM61oAMPeVbnimR0Bj6hPWd5+2wjO2KQBTXnK9 97oHptIqitnzowu+iC5ZSYhetQnXbcVNO3HbXtyZjnsO4/7jmPEzHjmFmXkM jQLML6T0pJArRSXlGjRSZigtqTIUs9lIKIq66SqxwY2gmRtyzx1zI6zTgy/G RthyBF1B75DfZeMjlRbn9Up7LfSVYsfpW/1YKN1EtwPclXbqHsmNNOLGg4Ib 9zc/wdx4gbnxOnPj3dd8097yz5wc+HhKaPZ0LnF8FF08O7YEQCtx8LZHqs4t 5y4OvftLWA5KVbbpjaOmKocxjiOl5ciVloNvyN7YcoxbIJWd0nq2AsZgHwMd kh6yDdKanLM4xhoPc5ihwavnhyQ6RNAi6Zi9KwodYWgLWlr9IkWibMVaqZ3b tlQTNy4SPU4eb4Qfr+0V761oXS1ew+ltMLl9NsBHT3XAY53vALz9WA880TsJ YNIzg5MnumDK6HSRtnwambssuuhbOnJdtRXX78Ctu3HHftydgfuOYnoWHszB o7mY9SunJ2fxdBEWlGAht4ZeqIinJxo0GrA+MUPRzIbMUGSLvi3ZbBA3kmbC j23ekPsx9YFpYUaHT44roRKHb8g/QhVkT3+rq63aXne2vww7f1OW448s0LiR m4obbc8+Rtx45Vn7ay8OT3rF/e5E33tv+t9/O/DhlOCsaaF570cWfKiXOAQ3 AL7hrlEtVTGdxpLl2EyWY2dilUOzHD+lthxaL4dhOc6lsBxy1HnqbIUXghhn K7QNpM002Eeio5vvhpuMx1h0JNODwzmYwmxQ2Gg7W/w8txft3THoiEJrxHIt 1Hc12FnvFyhr6Kogz3Gl+ix/Vtaxeth9dTd1Y1xbCfDlZIE6+PDp6/DQ9ckA rz/UAY90vArw6uP9r786CFNH3hV5zNfhWWtiizbTffk1O3HTHiLGrgzcewQP ZOJBYTN+wcx8shmnAMhmFJPNKCqlF03YjDIuhFZeofREcxoMDcpQximHJlc2 hhNnwntTNIsGx+FGgI0HjSuhVMXn8o/QyzXa3+5qrxusL+ovh64CxY0/ssTf zR1pGXcB3JN2Ps6Nuxseub/58Yfann6s+/mn+l9mbrxF3PC+94Z/xttcGn0v NPf98PwPIotm0VHg5+KnnUsc8AWdxgKfxmqnKuu0hvNtsgFseyrLIQ9WEi1H 9im9fTTJcgh06JfrjWwl4WxF3ujUCx1wDaEl8VhWoqOTZtFIdJhzFqspZ7En GQ+OIT2SicHQGJKnM1YkywEgfpPau9Em8qO2KDRHoDHUUx9qqw02AdQ2VJDn OHOZLunsqtsp3i5upBbQN659DDDjITp8mXhvyysPEEZefKTz5TdpqvwbANNE hqK3m23IwB2Hcc9x3J+F6dl48Bc8moeZv+LJM9ynUWiyGWW074BshshNdJtB NQ2ZnrDTaL4eh0b7mHJoCrMxos07SrnwTm/eiOcpBjcCvEKCXEacG5bOkY4G x9USS8WprrOKG39k/S/ixhGqi6aVMDcqH7gjkRtPCm7YJr4w/MbLI5NfHZ0q uBEvjRI3Fn4cXczc+GIhXc/ULIdxqiIsx7e4aYNWHZWWY3dKy3EwYQhY1ljL UcDzfIpM2YqBDvPZinge5bEsZyswpkYaR0dHHB3J5Q6dHjadHpBIDwMdQ/Fy qMYNYHQ4JDf6eQ09t4iIsLaj5TpBDJpiXQ3R9ppIS3m48Xyolu+ww0pBO/h8 SgO8eHWGeO/Oq8JjPH8Pnb88IxmxFyf8iO9xw63sG6f7JmadxuzfaCIBNdwK hyY9xgU6bDVshpab6DZD5CYNxqxFTk80aPRo0DDKodaxuzLHLq7yJw8JDJv2 cce5QTMDefxXkIYlGtzoGulsGmoss17K6z6nuPFHVhrAHWnH7ko7o9VFDW7c R9x46tHu557sf+lZ26vPD73xkuvtCZ4pr2ul0Y+mhmbL0ihtUaESB8gSB19U WfE1DZYxGsA2rtero1tuZjm4fTSTLcfJsZbjrIYOedntgn5pRUMHQBVAtene CjTEOzqS0NHOEwWT0ZGUs+hpi2Y85OVxUxA0bGiEg6HhkNCQwdxwULaCti6t zYxaR1r5qqnwQvWx9upoa0W0uTQKxdHKs9HS09Gi/GhBfiw/j+ds5NAiacjk OIF7TuCRk3g0G4+ewmO55CtOnMGs3zC7AE8VUn8+iW8QA+PiQjnvVJIew1TN qNFthjHYOV7T4PREgwaXNRLMxlAKs+Hxppi8YeYG749AuW4mrEGDxo16g0Fv QOQrlNZZRi3g7moevlYxUHW6pwjacm/1w6GUWqBxI1Ny4960iyC58ZeGh+9r fszgxjO2V59zvPGi822RqrzmnfaW//3JgQ+nUml0rqAFlTiiMDdmpCrffI7L jVRlZTxVoeooj/EZt8qRVCAdYzlO8yXZs4wOagM7j6VyiuBF+rUbr5FeRqil 1auG69DQYW4Gu56ADip3dJnKHUwPS6q0BQw4yKMTUyRDQ1oOyY0elNmKtQMt 7ShnjcpOEqKH8EX12FqLzdXYcAnrLsaqL8QqLtB3J/BYBCA4KQIKaZldwTnM L+YowdMlnL7xWMViAYxSFHFBDmVlXEBVHBdUymjQExOzzZAFDTM0+pKhkWIx 9023cjM04twI8UZdEzd8wbA3GPAERoXfoIKx4MZIV+twc9VAdUFvCbTn3ern Qym1iBtpe+5IO3FX2um7qcSRyI0HiRvPPtH34tMDE54dfP0F5sbE0ffe9M+Y HPhgSlDk4HO4xAEfRz+bw6cq8jSWU5WVfKqSXB29meVIfSarWw4tWxGPj3iU DHSU0qb1cv7FWsnoAPPJbEp08OGsGR0JxsNcLO3TjYeRtlhRax+3JiACknDB YRfRT5voJTfsXYnouI49rfSEdkEqXcaGaqyvxLpLlHxVV2AVz+MC3utabkQF FYfLL/H0jEvMCsZFJX9ylVz5Wq/1ZsisRPMY5sSNj5nau7VCKEHDin0DN9vK nbjqLrXZkEVRhoaJG1FOUsLegN/jF9yg64N0FDvS1eZsqbXVFPWeh45fVary xxRzY9/t5DdO/0Xnxv23Ezceuq/50Qfbnnyk69nH+158yvrKM4OvPT/81ssj 70wcnfqGb8bbgZkAH3OJA6iLI7p4dvSzT8hyiFRFNoCt4FMV4FQl4UB2fMuh zfMZ70z2Vz1bkZdWxG/YYt6xLn69lmIZT+egX7Im15ECHdcS7tpr6Gij1UIa OszF0rFpi4UXD1nQxkwAhgPo78RZkRSMDlsv2npotTQlLJ30dYgebUj0uE7j cbpasLMZ25uwvRHbGrA1FUloro45LnPUUNDsRPH98rdcqw9D00rEvCdaZEZN ibhIGozW1atBo09Cw3ZDaJjNxlhuGGbDBI2IPvUrEIz6glTc8AZ8Hr/H6XNq x08jne3Olnp7bUlfaU7HacWNP6ZM3Pg1mRv36tx4rPfFJy2vPG1/9TkqcUx+ 1TP1De90gJlc4oDpobl/DS/4kE9VRKoyH78Q6NBTlZXfaI0cdK1eXnPbMK7l oHk+41uOeLZiTBEsJANPV+zlIMFSPi9IREfNmBkdCXftJTpaaSWZZjzMFY/x 0hZJDxM6bgINAx3SeHDOQmVSSY9OtHRgXzudEfe0EUC6JECuMUCuMkDqsaWe GlGa6mh5a8MVCuC39XUc9RwN+vcov03+TomTAhcAza1UxJCH0a2SFaYJA9oA 537tyFWDRuJco5TQMJKUwO/gRjjIO7g5vMGINxDy+n1uv3uIuWH19AtytA+3 NNmvlPWX5akWjj+q/ifi/yJuHL8zLZ+5USa58cBdzI0Hrj/xcOczj/Y8/4Tl 5adsrz7LJY4J7ikA73GJA0SqMi0kUpV5H0QWfRxZPCe6ZB5bDj1VWbGULcff TJZjfXzoqNly7NuL+8e3HAkF0l+RRnPIXQkGOrgMqM0S5JNZkCezRlOHqR8s PhlMoKOZ5/wb6Lix8RAOoZ/oYdXpYWNoGPQwAyQFQ8zoENzoIfth7UYrAwQ6 sY8B0tuuAUSkMF3NBBDJkLYmciAtjbTWRAZcpbdN/O00ycKvKVqu8XfH3yC5 CwDDXYD5dnBvwkU/o6AhT09uBA3z3GaDG7K4IW/Qyz2PQYxQxEQIaAQJGhEf LW4T3Ah6/V63b4QmpI3awN3X6+qgeo/9SoWl/HSX+BtW3Pgj6j+JGz8yN/L4 KLbs3rRKkNy459oj919//KGOpx7pee7x/peeGhDceP2F4bdfGXkHYOqbPhCp yrtBkarMnhGaOzO84KPIIpmqLIh9CUDV0S/Icqz6hidCmCzHlg2mYT665dg7 vuU4kXQma1xaKaAioUBHsTxDMB2vyFtvAh1VRlOHvsU+PhlsDDooZ7k+PjrE M2VUPAQ6mB4yK7fpZBibsyQDxECHeFKk8ZDo6Kbud4sIQQ8JEMkQCRDJkFbs bOVbNi20Jr6thc5zNSwkRpsRrdr31SbXUZlu6ECPdvQcvxpsXNKxUZhnGSVD wx2f2CyHvQfMM0XlZkzJjWCcG+FgLMjc8MW5EfD6R90+nuHsGQB3by8PHBDc qLKUF3QXKm78MfUfzI3b0o7p3CglbtxG3HhQcOO+1scebH/q4e5nH+t78cmB Cc8MCm68BfDORDe84Z0xyT/zncAHU4MfTw/N+Wt4HqUqkc/mRpfMj30hLcfn WnV0FVdHYZU+dNSwHPr8wN27eIRgKstx7PiYM9k8feY5uw6BDpp0V0T0KNH7 SMv0FnSqEFZr6Ki9chN0tI5FR4cJHQAJOUsfgqRHP8reDLO1SGk/tJDoEJ9v 5Cxc9ABpPBgdFgMdHL0dbEJkAAg30iXjOuUdnXq0J4V+1tyu97lpKYlcus3X +sBMDB0aMB40XPrURAMaZm74U3BDhwZGArEgRdRHIYghIuz1+z0+j8vrZG5Y YaSny9nWPkRbcwU3irrPKW78McXc2Cu4cUda7l1pZ/kolrlxZ/2Ddzc9dG/L ow+0P/lw17OP9r3whPXlp+0TAd56yQkTRqa87nnvLd+MyYGZlKoEZ78fmvdB eMHHkUVzop/Ni2qWYwlVR5d/rVmOtbzaI9lymOZypLQcR5MsB3dNa1fsT2PB GVr/IdBRNBYd5fHbK2PR0ZCEjms3Q4d41rppITuhg+kBjA5rn4aOOD1MABnP ftABrt7XIY9ogdFhTUKHKXpFdPHbTiYYw6Sng0gCBlI4uoyQ58umI2Zt17Yc v6MTA0x99QkTSBIHriZDQ26fH8sNOSHQxI1wgIKhEQskcIOLGz43XQYcHbS6 LeDq6hq+3upobLRRD36J4sYfVf+RtuG/iBtH70j7RXCDSxyXIK3m/jvqH/xL 40P3tDxyf9vjD3U+/Ujv849bXgbgLo5heMUlLMfUN0env+2f+W7gw/eCs4Tl mBme91FYWo7PheVYFKPrKrI6Or7lSCiQjrEchw7jkaOcrUjLASAsB2UrubzZ LR+B0XFWJixynKD4eQO4wGPBzON9QNZIjaGCSehoSkSHuVLawb+g9UppL9Oj j6/h05Ll3gR62Pqp4pEEEMdY+yG5YUKH4IbdQIcOEAtHn4xuU4hHvlv/uCyM GGyRuZWprmv0s/XqSZZGDNNNHDD30hv3f42pI2MyFG8iNwJGccMYK8qsgIAG DcmNgJkbtHQm4PF53V7ihsNjs7r7wdXZOdzSMtjQMHBZciNXceMPqf9I2/Rf aXvS0o7ckXbqrrQCnRuX77/9ygN3XX3w7uZH7rv++IOdTz3c89xj/S8Jbjxj hxeGJr3sfOdVshzT3vK+z6nKRybLsXhOZImwHAtjXy2OLQVY9iVbjmVaD5i0 HJt1y5HiTFa3HAkFUmE5AITloGxFXrHPRcjD0/l4xkBHYXxpQhI6KnV0gERH rQkdDbTNsKlxfHQAdOq/u+Xz2Ms5RZ9uPCQ9rH16JALErofDDBD5fyU3GB2C Qo4evdxhCouIbn5rRK+2FJ6QxR+x8p/HwhFni/HHS2KFuY1NX9eYYtCZacqZ ywwNd6LZMHNDQMOoiyZyQ3w84I+J8PmjHIIbIY/P7/aNurwuJ+3OHYCRvj5n R+dQc4u9vs5aXdV/EbhVHip33eqnRClZJm7k3JX2G3Oj/L60Kk5VGh76y7WH 72197IGOpx7qfhZApCrwtG3ic4NvvDQ8aYLrndfcU8hy+DTLMUNYjtD8j8IL Z0c++0RYjihZjs/4Zj0fyErLsW4Vgm45tozfBpZcID3OG5pktpJNG5rgFObl Yr6Bjt90dBTF0SGyFW0YqXHxLQkddbQFdTx0ED0AjEOWLj1ngUTjIR9Py3j0 4CDjYTCE/YYGkH7KdwQ6QAeIvZfbPMSXShnG1xePf5/p/zJ5zJ9m6dNu2ZgP jo2+NTBGIwqC6ZduINVoRJcxjdlkNnxjkxSAeH2DQ4OGnyKQyA2PP+zxBT0+ n4vNxpBn0O62gqunZ7i93XGt2VZXZ62s6ivVuFGz71Y/JUrJYm7sTks7fDtx 4wyXRi9SiUOmKnc1PkKpSvvjAE8/3Pv8Y/1Apyr2119wTHplePLEkSlveKZN 8k5/xz9TWI7pwdl/Dc39MLxgVnjRnAhVORZGv/xUtxxL45Zj/WoEo5cjleVI USAF0Aqk3M4B2XgqB3MFOn5hdPyqoYNa0JPQISIVOkCi48rN0AFgLnd08fgO IxHoZXoYv9w1dJifbg5bnwkg/SaASB8i+536UYZWNZV9YknBX8Eop1D7mQlN IN/RL9DZbsAK2Qwvr9jYOWnSp4uAKTdxJULDw5EADYMbAhpGfYMD+O0YaBA3 vIIbPjYb3lHX6AglKW67bcQCru6e4ba2wcbmgdo6y6WK3gsl8pW5kn6rnxKl ZP1H2kadG9l3pp2WR7EiVbkv7TLcVvfgnVcfFqnKvdcFN4TlAKqOWl55ZmDi 84OvvzQ0aYJz8msjU94anT7Z9/6UwIfTgh+/HxSWYy5ZjvCiTyJLFkS/WCws R4wsx9e4wmQ5Nqyh+VTjWY7kAikAFUj1dg7Iwmy5h1qiI1dHx5lEdJTod2aZ HuWm6/ayH4x6LBkddanQQYcsAMmV0jYqQnbJgqSp4mFODWQqkdIkaM++6Xm3 9+vnL+YVDOPIfrMAoyRrpYDxWKETQ7vGyzvXDJsBY6ExokPDzdBISlIkNEzc ABNAAjJ8MRE+X8zri3p9ZDbcXmE2PLQW0+NwuAcsrj5wdnUNtbbZrzZZa2r6 y8t7Soo7zihu/AEFiP+TuPHD/0o7dHvaz8SNtHN8S6X83rRqSLty/x0ND//l 2iMAj97fDg92PfNIzwuP9738lHXCs7bXXxxky+F69w331Emj09/xvT81ICzH rL8G53wYmvdxeOGcyOJ5EWk5vvpcQ8dKPljRLtevRdAvu8n79XKKYPKZLIC5 nQNkJ5hEx88mdHA/mIGOwnPx1QmylbRMv8phoEOesBjX3xLQ0UjNmXHjoTeG gXHO0q6fsyQZj24dHbLy0JMKIJxi2BKzGDCd4aY4uk0srhpFkuSPyNBx4bgB K3Ri0NAhObhMPMLD2oZocCYsi5HEiEPDnKQY0JD9Gz4EfitD/7gBDeaGN+T2 +t2jXtcoV0Tdg7YRkaT09g53dDpaWm0NDZbq6r6L5d1FRe2UpkDt/lv9oCgl iLmx4b/SdjE3Tt6Z9utdaYWy21ykKvel1cDt9Q8CPHx3y6P3Xof7O55+qPu5 R3tffLL/lWesrz5vf/0lx6RXhye/7prylnva26Pvv+v74L3ARzOCs8hyhOYL yzE3snh+5PNFUWE5ln4RWybQkZitbFxLU4vlZTc5RXDndjqT3f2Djg6AeLZy CMFoPk9Cxy9xdMgtb6nRIRIWRkdFIjpqdXTISmljAzZd5cbsJq3rUvZWQWty W6lR8TDoYT71kIVKi1HkNNBhKk3Es4zEztLx0JHiPNf8f427dUnQsCe4i/iY MmPaob6iTlvx4ELQueEZ0aCRwmwAkN/w3hwaAQ0aMa834vYG3aM+96jH5eE2 0RGb1dUPw8JstHUOXmsZqKvvr6ruLSvrOlfEU0RUfeOPJsmN/yRuHLwtLeuO tDw6UkkrZsuhpSq0m/4v1+Ce1sfva3/ywc5nHukWluOlpy0Tnht4/UX7W68M vT3R+c4bI1Mneaa9M/r+FN8H0wIiW5n9QWjux6EFc8KLP4l8tiDyxeLoV0ti 33wRWw5gzlZk53lKdFC2wtuQKVvhK/YgCx0SHccxK1NHR3YiOk6b0GEsbNIv sNCNezYeKdEBRrkDgIwHd3ELesiGbRjTVtqeZDxki0Xiyan5NERDR2JJM16d +AfQIbgx9k7ueNAYTDQYphnL2loH5oZb30wHDI1xzQZDQ+MGB3gxqIf+wZiP w6tF1CPMxiibDY+boTFod1nB2ds71NE1KJKUxhbrlfq+S1U9F0o7z9IExavH VQvHH03MjfX/mbZT50YulUbTzv1FT1XuE39ntzc8eGcT3N0sLMcTwnI83PXc Yz0vPtn3srAcL9hef3nwrQlDk19zvvvmyHtve6a/65051f/R9ICWrcwKLZgb FpZjCWUrUcpWviR0ULZiFDp44DmMyVZoKeTueKED0k3TOeRgn5ToyNPQIROW s/Lu2zkdHec1dNDhLF9FF+io1NEhok7SA4DQUa8ZD+0mSFPceKS+z2KmR6eO jq4xyYvkRmLdA5JOXn4nOiQrEtGRnJ6MtRmpiOEeju+QktDwcIABDTM3eKRw vL6hQyNgggYjJQ4NjxYR9yibDY+HjlHcQ3aXzersh6HuHkdbp725daCh0VJT 11tR2X2+pP03up3ScERx448m8ffx/6atE9z4r7SM29JO3JF2ykhV7k67eI9I VcTf2W11cMfVh++69ujdrY/d1/bkgx1kOZ7ofenp/gnPWSe+aHvjlcFJE4fe ed055a2RaZM9M6Z4P5jm/2hGYNbM4BzOVhZ+El68ILKEspXo0s9jy76KrQAw shVZ6EhGB0BCoeNHBFkjNQ/2MaPjZ8wR6DhF6MjNS6h1yMNZrZvUNOdHa0Tn CRX/H3vv+dRmlq19739lZs6E7p7pkXMOOOeMbRwxuAFjTBNNNGBMMskEEwyY YMCAiZJFDiIIJIOQkISEIopISEiInITk5963AgLs7j7ve57qnvN411UUXVPV HxrpN9e19tprwdX21q4wGnx4DulBN6PDRA9gqpd+jR7CTbFFtNF4rKHDyg0L OsCmcsevo0O5iRu2s4N+AzSmbKFh5Qa6uXJ2MzdsoTG3FlWWUAHLL0tr/5MR 0fyccXZNhpm5lZnZxZnZuZkZtLIxNaHSKeFaKs2oWM3jjbM4SiSkUKhSElnc 2SlohlVReuk3bvzRjoUbmT9i3mEwldvglUoDElV2mKIK7Dmn7MMMga2Mg9tZ h3dyjuzmH9svPHFIdOaIBLUciitnx69dUN+8rLl9TXv3hu6+w/SDO7PO9+fd nBbRtLJsSit+XvoA39UgmFYMMK3YosOSVpITPgNTWkGXyWaaCh0oOoCpRmq9 XrG6jnLLIvvfgI52G3TYPn8jfbLMt7HOJkWNBwNFh4kewFTxsI0tFnpsjC2/ jA4J2lNhm1lkZm5sKHf8OjpsuWEzcEyLNnHBoYW/Cg1UM9pN3Jj6PGtBB0IM YDUbJpthW99AibEZGvNmrYfGrH5mdmlmZmFmZhaFhlalUyknUbMxIRCqODwl kzWGmI1+irSXJCJ0AtDEqga0d5Ab39DxRzrIH+M7zMt/mrlRsRVTsy6qQG4M AAwVYOgHoOVg2+3iHtnLP35w9JSd+Owx6YWT8ktnFFfPjdtfVDtc0dy2n7x7 c8rx1rTT3dmHjvNuzovQcrgte6Jpxc9bH+i3CtOKCR3PjFEAxKwvdJjQgXxO bAsd4I1NR4dtM5htYNmEDlOtY62vw9qIjpY7umwrpSg6YLnDNJsUNR4mdKzR AzEe62PLOuOxaYKHrfGQWelhaRHfWO6QrXHjt6LDCo0N4wotY07B16ChsayZ s0LjS9ywWo55EzqsxFgvYPllCdX8es3OGi0yzCLQmFmemlmcmpmbQhLK1KRa N6GaVAKtTDoxKlbxBEoWR0FnyE1mo6d3tL0dgAZmJRgszO17/Y0bf6hj4sYP mIwfMUUYTBla4sCht7FoVDH3nFP2YmhgC+PgNpbdzpEje3hH9wtOHho9c0R8 7rj04in55bOKaxfGr19S37qquXN98p7DlOOdGed7cy4P5t0eLj52XX7ivuLl sWJJK6toWjFEhBgjnxmjEXTYXMvCGaQAIGkFpJhrpMBaI7W9md2EjiobdKwr k6LP30yN6HBEmKncYUKHbaXU+gLOhA50pRpCD7qp4mFDjw3GY8NF7brRYbZt Hrb1UtPTkvXoABvaPDZ1d6i/CI0N3LCOR1abuaHbsORFs2435UZufNFyADCP yOo6LEL+EWzCyCZuQHTMzBhmZvRTMytT04tT0/O6abQcqtOoJlUK7RjQSKRq AdyAqWCy5FS6tH9A3EsWdXUJW+GubUZ5GSU/uyflW1T5Qx3kj/EPTMz3mIx/ YQr/jSndgqncao0q5nWxJPRCdhD2cmxlHtyOWA7O0X2I5RCeshOdPSq5cEJ6 6bT8yjnFtYvj16+ob13T3L0xef/W1IO7M87351ydFh79tOSBWg7vJytIWvGH aQWiIzzIANNKGLoREgBzocOyh9qEjow0uFFo7XolF44TXIeOkl9Eh6UlDBoP Ezp+tVJqGk/a/5kyAAMLFe2koltiC9OSWaA2oGOT8RBZ+kulG+iBcGNTxQNs 7hD7IjqUX4KGiRs20DBxw7zYZT06piZsuKH5pagCLQeKjnlUAP25gP6ygSFW zdtoxizDzPTqzPSKbnpJNzWvm5qF22R0WvWkWqlVAo1Mqh4Vj/MEChZHTmfK KFQJmSzqIQo7OvnN8DJl6H1Jf25WZ+I3bvyhDvLH+DvmxXeY1H9i8n/ElKBR pRaJKtsxLQg3dmK6AbQcZCStmCwHklYO7xyx28M9tp9/8pDw9BHRueOSCydl l86MXT2vtL+kunlVfdtec/fmpOPtKad7Mw8fzLk6L7i7LD15tIxYDu+fV5C0 EuC7Gvx0Ncxc6ECfyqJLqOMAiI+1uA4LOoDpeiVj3UP7tRZ0CzoqytejowYN LCg68Dbo+OIlS5cVHdaeUtMqlv7PVPQpHA2dzwllvaVFMwtAi6VgfY/HWrHU Qg/xenrAJ/Cbih5gc5PY12PLF7gxvn4dA0qMNXRspscmdGy8UkFvVWZNrmPq 8zwqMGWmxxc1u14z05+npg1T06tTUytTUwg0FrS6Oci3yUn15IRSOy7XjIEJ iVglECo53DEmS0ajSfopol7SaFeXoA0JKc3DNYBaXEx+k94e940bf6iD/DH+ hgn/DpP8AyYXLXFYogpc+9gGzI0cpN2Y/j2YQVgg3cI8uINlt3vk6F7u8QP8 k3Bbvej8CcnF07LLZ8euXlBev6y6dW3izg3tPYdJxztTTvdnXJzm3B4uuLsu PXFfRiyHj9eKv48+ABY6IDoiYKEDnc7xHN1fb1voQJ+upNmgI+dr6EADS4XV dVSa0WHtJrXezzb9QqXUOtkYrXj0o/QAJuNhrXhYALLhSQvcYoCuhONx1oql wk3Gwxxb0Cf5MtuSKbrk2rbTYzNA1l642LSRb7ActmtcNnJjc2aZWFfoMDVv mImh+2yViRsA1bzl55q+xA1Tt9jUlGFqCkJDN7Wk1UFowJ25kzqVVqPUqhQa BZiQiVWjIiVPMMbiyOgMKYUmJveP9hAFHQQeNBsNzCpAKSrszUhuifrGjT/U Qf4Yf8WEfodJ+AGThUSVHzGlGDSqbIPcaAGYDsRy7FqzHNR9GHgne3An224P 59h+7omD/FN2wjPHROdPSi6dkV05P3btovL6FdUt+4k7N7X3b+se3J12cpxx dZ575LLw2G3J8/Gyt+eKr9dKgA9aI4VpxQhnkD6DacWMDgAS0Kcr5qUJ6Ks3 YG1Bt0VHwSbXgd6wmNFRZUYHYjzwGyql69FhLncAYK6UWtABJ5SSPw98+kxB jQfVtl6KoAMAJiLbvnTTNskRS3vYJuNhji0IN6zew9LpATb0iW0GiOWNrfl5 vgUd6i9GFRM6VJvQof5CuQP2iJpkeyeLCqAN58h3dhYBCCpg+mVqo2bWSzdl 0E2t6nQrOt2STreonZyHNQ3tlEqrVWrUigklmJBL1RLRuECo4PDkTJaURhP3 D4z2koRdXXxoNppYdTh6BRgoyOtOjW+M+MaNP9r5KyboH5jY7zGv/4l5+yOm GIkqW5CoAsB2TCOAF7KEnZgeFB3QcuyFloNxYPvw4V1su72cYwd4Jw4LTh8Z PXtcfP6U5NJZ2dULY9cuKW9eVd26PnHHQet4R+d0b9r5wazrw/lHrgsej5a8 PJaRtOLrbbmWDTDCwT4ARFpdx4vPCDqAxXWY+0hRdADr6xXbh29fR0e1DTp+ 5ZLFOhTd1N1B/ExCl92TLcZjYL3xoFlew5npYdpebdPgAdDmUmBrPPgoOgAw xxZrchmF6DAP3vlao+l6dEAp1tHDFh229AAoPTaiw0QP00JbRJbLWevNLNDC p23AChDEgdikGGDjRqwyPYIzS2fQ6VBoTC7pJiE0NCg0lBqtcgKFhlouVSHQ GBUqeDw5i42YDQmFKiL3C3uIfEInF7Z7NTCqAfV9+ae8HEJS9MeQb/cpf7QD MH5/x0R9h0lFo0rRv9GoshVucKsH8EK2fQemy2Q5dmMG9mCoe03tHDuG7Xaz j+3jHD/IO2knOHN09NwJ8YXT0svn5FcvjtlfUTpcU92+MXH3ltbxrs7p/vRD p1m3n+YfuS16uC/BtPKz3s97FRY6TOgwDeiwPF2BE4xR17EBHZkoOoClH2wd Oqxl0lILOirM6KixomP9MxYrOmC5w7TCyVoptaxUQOhB7vvcj9LDZDwoG4yH 7TN8BB2oOKhMFQ8TPQAPFR8dAWQpekht6AFME0RN9mMDQCzo+MJwjw3o2Hwb a+KGLT2suNiUWYBF61o7TLKiw5YnNjCZWpNhanJVN4lCQ7uo1UJoqDTTqolJ 5cSEQj0OVGOycalIKRIq+LwxDlvGZElodFH/gLC3V9DVw0PNxnAdfqgCUN6V knKy2+LCv0Hjj3cAxvNvmOffYZJ+wGT/C1MAowoAWzG1APMR7R1t2bGWVj7B znMkrWwdAtsYB3cO2+1hH9vPOXGId/KI4Mzx0XMnxRfPSK+cl1+7pLC/Ou5g r7p9c+Lebe2Dezonx2kX59lHLvPujxafPIbo8PXS+6NpJRiOITVaa6TA2kcK ALxesUUHejObaYuOvI3oKPsiOqo3ocNmPClckthm01Pa+bkHXa6K0KMXNR6k rxgPqq3xsK14DJuf03JR8VCZYgu8nuGbN5iYBguvTQc1eY/N9Ng83+Mr6FBv WjoJ0QGA1iKIi/X2A5iELjv4hetaKCTIWA3JenSYAo5u0qibNOgmV7XaFa12 SYtAQ4M6jQkUGuoJhWpcrhoD41IxhIaAJ+dyZCy2lM4QU6ijZLKgh8gjEDgt sLJBh2ajor+giJiR2RQV+I0bf7yDfK7+hgn7Byb+e0yGKar8GwDEcgBMHXqx 0rQD07YD07kurWyh7ds2BHYwDu8aPrKXffwA58Rh3qmjgrMnRs+fEl88K716 QW5/WXH92vit6+o7Dpr7d7RO93XOD6ZdHs4+cp1/7L7o6bHk7bnsi9ZI4UrZ pwZTjTQy1Ai32Nu2oCPoACA5cT06MiA6gE0X+ho63q1DR+VX0IG3RQcA5nJH 2xo6gNV4WOhhNR6bY8ua8dhMD2tzqRUg6CYCoQ1AzFrvQGSbG8a+go41elim ANkKIPQYX5dcbPWFFPOllg/zK3ubOANscg3agGrUaQ06rV6HQEOzpNUsajTz ahM01JMK1YRcNQ7Gx4BSKlaIhGMCLoQGmyVlMsQ02mj/gKCPxO/q4sJer2Ym Fk/7AAaKS0l5+V2pafXfiht/yAPAXzHB/8DEoFElB4kqPwKAwXwAsHcUh/Zy tJjSyk5rWtkyuHcr7cB2OtjJtNszfHQf+/hBzkk73uljgnMnRy+cFl86J716 UW5/RXHTfvz2DfWdW5r7dyedHHUPnaZdf5p95IagY8HryZL3z8t+APj76oP9 9SEBq2FBqyDY8DzUEB1mjIkwrnu9AkAKgo7k9W9mN6AjfxM63pvRYXs/W7fh fhZxxU02lVLUeJi2KnShxoP4i8aDYjUeVnpY2jxYmzvETPSw3tVaAYIuhxX/ 4sQe65FbRv+Zp/9ZZJoFZBpCuDaCY/3cHjND1pNkndTmO9wvF1GtxRA0zlh+ N2o1Bq1mVavRazUr2oklzcSiZgKFhnpaqUKgoZGNq4BSIVXIRGNigVzAlXE5 UjZLgkBjiCaiUITkfn4PkUsgjLTCyga9BgyWVX5CzEZWTntSAi7kGzf+iAc2 dwWgXRyJ32Oy/gnAj5gSgCnfgqnaarYcjTvMBVJrWhnYu3UQ7p7eQQe7mHZ7 WUf3j5w4xD11hHf6uODcqdELZ8WXz0uvXpJfv6q4eX389k313dsax3uTzg90 Ls7Tbi6z7o/mPR4veAHg8/Oyv/dKgO9KsP9KaIAeBOkjQlafP1uNCjfERBhi I43xUcY1dKCtpGkp657bI+gAX0dH+a+hA+5hsVZKmz+3tXxub/0MbIwHLJb+ Gj3MxsPSX8pYT4+17nT2Z2vdg2e5cxGipQ/kp2kBipi/ll/WNYxZvAdAmz3M klkktwidN2jb7wG+2F9qm2W+RpL1E37MpVQbkqDRxqidMGgnVrUTeu3EMoSG ekFjgpgKQkM+rpErVUChEJugIRPypDy2ZIQpZjJEQ9TRQYqwn8zv6+V1dXFQ s8HA4qgfQH9xWV9ufmdaZktcNErL3/tL8u1sOpAbfn/DhP8DE/cdJuMHyI13 APMesRywQIrBbsPUbzcXSNfSyt6tA/u3DR7YTgM76WA388g+1rGDIycOc08f 5Z85ITx/WnThnPjKBem1y/Lr1xQON8bvOKjv3dE8uD/p7KRzeTjt5jr7+NH8 EwC8PBd9fl7y914O9F0BEB0rYRAdehQdq9HPDbEvDPHRhvgYY2Kc0dyFDsAG dOSg6AC5FnQUWNBRbEHHl1o7sAg6ALCWO2zRYV7I0v658zcYD1OH2K/Tw+Q9 TLOArG9bUAF0+ZrQRA8rQEwFEOEmgGyYDvT1yR62c0fXNav/Ika+MCLMliEA WH43ArVBp17VqvUa9YpGvaxRL6lVC3CoqWpWOT6tGJ+UKzVyBQqNMZlQboYG B0JjGEJDODggQKBB6uX19HDgK7ZWZn09rQY38B6QCoq7odlIaYiK+AaNP+oB GK+/YkL/jon+DpP2PQD/whQATPG/MWVoL0ftNpsCKUwrmF64m2lL/75tlP3b Bw/upB3aRQd7mEf2s44fGjlpxz19jH/2pPDCGdHF85IrF6XXrshv2itu3Ry/ e0t9767mgeOks7PO9afpRwA8dp/z9Jj39lzw9Vr0914CvstBFnSEQ3ToUXSs xrwwxEUb4mINCS+NifHG5MTPEB0ApKetQ0cuig7wFXTYdoVZB4XBFU64tUop nIveaFnIghqPtYrHb4ktljYP2i/QA4CNL+NM/R6czwLOZ6ENQIS2ANncr/7F l7YbHulbh3v88iP9r/Wuf4khMH3AX4walUGrWgUqvUa1olYtq1WLKtUCpNb4 jEI5pVBOyhUamUINxpQiuVwgkwikozwJjy0eYYmGGaN0mpA6IBiA0OASezhd nWz0GoWOxQ9+AJ+Ky4m5BYS0zOaXCR/Dg75x4496/oR5AjBBf8NE/gPz6jsA /onJA5gitAeswmI5TAVSc1rZjendC8Derf37tlP276Ae3EU7tJsO9jKPHGAd Pzxy6gj3zHH+2VPCC2dFly5Irl6S2V8du3ldccth/O5t9f17GqcHkw8f6twA eOQ24+E+6+kx5+O5ABB0+CwF+iHoWA6B6FixoEOPomMVQUe8CR0JCDqMKclm emSsf3Gfj6ID2KCj9GvoAGCtUmqai47SAzR+bt2Ajl82Hr+RHqaqKQDrkgvr MxftNeWhADHRYyNATDscv9Sybts5Zvvedt2MoK8/mtuMEWsnqno9RtS2QtAx vqoZ16vHV8D4snp8STW+qDKVWZQzcsWUXDEpG9OIx9RArhTK5UKpRCAZ5Yr5 bBGHNTpMF9JpAiqFP0DmkUnc3i4IjY42xGzQ8Q3UGmz/e9BXUNyVmdOalFIf FV0b7PeNG3/YA6OK/18xYX/HJCLc+AHzBsDnKmbLsQVTsxWD24ZpsKaVXZju PSZ0bOvft4Oyfyf14O6hw3voYB/z6EHWCbuRU0e5Z0/wz50WXjwnunxRcu2y 7Pq1MYcbitu3xu/dUTve1zgDANHhMuXuNv0ERQfwnPf1WvDzWQz0Wwp6uhwS uBIK0bGCoCNyDR2rKDoMFnQYU1M+Q3QAgKAjywYdBXkQHQBBR6EFHSUWdFi7 wgBYd8mCogPYGI+N9Oj4FXqstXl8Wk8PqoUepgZ1a9XURA/LRCCulR6/BhDr Gkdr59g6B2J6b2tjQsCGcR8b1jSsx4hKsSYrRlRmGaEAUClX1Uq9WrmsVi4B 5aISLoucVSim5WM62ZhWKp8AchWEhmxMIJXwJKMcFBrMURZdwKDxaQO8ATKX 3Mvp7Rnp7mQT2mBZo6GBVocf+ABIxeU9uQXtaRmNcYm48PBvpY0/8oHc8Pkr JuRvmFiUG5kA9oAV/ogp+TemHGMukFrTSjscQIrpWUPHTsr+XdSDe4YO72WA /cxjh1gnj4ycOs49e5J//ozw0nnR5UuSa1dk1+3Hbt1U3Lk9fu+u2hEAZyet y8NJNxedu9sUcJ/x9Jj19pzz9Zr381kI8FsMeroUErgcGrwSFoqgYwVBR9Rz vQUdqxAd8QYLOoxpaZ8hOgBA0JFtg45CFB3gS+iA97MArD2Cq/2Mq/uMN+1y shiPpt9oPHo+k75Ij/5N9ABgY3JhQHoAJqSH1X7YAsRED8F6egit9mNT/5j1 3dyGFAM2bXz7BYzYCiWJUakwKBWrVkF0KFaUiiWF6YpnbFY+NiWTT0rlGrFM DWTjIqlSIJXzJFKuWMQRCdijHKYQQoMKoUEhcz71jvT2sLs7WYT24bZmABpo ODylGnx6X9lbUELIzG1JSsVHRQMQVOj5jRt/5PNnjCfABMCoAhmS/k/YA/b2 R8y7H80F0hpLWoHo2GlFx5bePQg6tkN0HNhNPbR3yG4fAxwYPnaYffIo5/QJ 7rlT/PNnhZcviK5clthflV2/PnbLQXEXgPv3VA8cJx46aVweah+5TAI3nYf7 tKfHjLfnrI/XnAkdgWZ0LCPoCA+zokNvQccqig6DBR1GGFgQdACAoCMnx/zo 3lTrQNABiszoMN/PArBWKa36XIcaD7Aps3zZePwiPSA6NreYmuhhmiRmfZVv ogc61oON2g/O8DqA8H4LQPjrAWLzdO5r71/W7XmxbUbdiBGjRQalfFUh1yvk K1BjywrLTmqZfFYmmwayKalsUizVAKkaSMeFEgVPIueKJRyRiDMqYAm5TAGb zmfSeLR+LoQGcaSvh9VDGO5sZ7aj0MDjB2vr+itA37vSrtyCttTMhriEOmg2 /JJdfu9vxrfziweAv2D8AObZ3yE3Un6APWA5aPuoyXJUbkCHxXV0r6FjF+Xg HuqhfUN2+xng4PAxO/apY5wzJ3nnTgsunBNevii6ekVy/Zrs5g35bQDu3lY6 3ht/4Kh+6DQBHmrcXLTuEB1TTzymvT1nfLxmfX3mA/wWAp8uBgcuoehYRtDx PGIFQUc0RIceQUciRMcqig6DBR1GGFgQdAAANynkwvvZfLRSWoyiA7z7DEzl DgA295QCG+OxRg+bW9rWzeggfO7p/Ez8Ij1I6+hBNQ30oFiKHiZ60CA9AEoP lsV+cGztxwaAWOghsCmfriuAmFKM9emczfuXDS9w122pltqSxGgjg0K2qpSt KmR6hWxFIVtWyJbMxEAkm5VJp8VSHZBogWQCSFQCsZInHuOJZByRhD0qYgkF TAGXwWfTeUwqd2iAM0ga6e9l93Wh0GhjmKBRjx+sw/ZXAtL78p6C4o7M3Kak VNwLxGwEF/t8Mxt/9AO54QUwwX+D3Ej6HpP2Aybrn5i8H9EC6b8xFUha2YKp /QI6tnTv2WpGx34UHYf3D9kdYIBDw+AI+9RxzplTvPNnBBfPCy9fQtAhvm4v dQDgtsPY3duK+/eUDxxVwEnt+nDCzUXzyG3Sw133xGPKy3Pax2vG12fO328+ 8OlCUOBicPASio5lBB2Rz1cQdMRCdOgT4kzoWE1G0PHKkJZqSE83Zrw2ZmUa EXrkAJALAGI8TOhY26eAnM2NYZWfgcl4mOiBtXlF+6vGw4YeZnRsbjFF6IFw Y2AtudBRgAALPaz2g/VF+/ELANlcQQVg7RZGaH7/sqGUui7LQBmhJCYZTJJJ VmUSvUyyIpMuI4I2BpF0XiyZQ9AkkkyJJDqhWAvEEwKRSiBSckVj3FEpWyhm CUdZAgGTz6XzR6g8JoUzNDAySGb397JIPcNEArOrndEBoUFtwFOw2P4qQCqv 6H1X0pmT35KaiY9LrA2PQMxG3reQ8h9w/gzAf2Gewu8U5uV3mFffY17/gHnz L7RAiqQVG3Tg1qFjiw06AIDo2Iui4yDj6OFhcJR98gSKjrP8SxeEVy6NXgPg ur3E4YbsjoP87u0xcE/p5Dju7KRyeah2c5l45KZ97D75xEPn5Tnl7TXt6zPr 7zcX8HQ+KHABQUdo6FL4s+Xn4csIOqJerMRGrcTG6OPj9Inx+qSE1eSk1ZRX q6kphvQ0Q8ZrQ2aGMSvLmJ1tROiRB8C6dnQEG6jxAKWfgaXiARDjsaHB4xeN h7m5tO1zJ0oPEzo20mP9yzg4hNDqPSz0ABb7wbACZL392JxfvlBB3ZBfANhQ AxGbXsGMriulWjBitJEBkVy0KkMk1qNakYktxBAviMVzYvGsWDyNoEkkmgQi DRCpeaPjYFTBEcrZQilbIGbxhUw+n87j0rhsCneYwqH3j1BJCDSGST1MYiej q51ugcYADvupGoFGZW9JaXdBQVtGbmNiGvZFDGI2inxAhvvv/Z34dn79/AmA P2N8UW7E/AOT8B0m5XtMxg/mtFKMFjps0VGPoGO7FR1bu3dt692zjWRFh93+ oSOHGEfthsEx9qkTI2dPc8+fQ9AhuALAtasie3uxww3pbQcZuC2/f0/h6Kh0 dhp3eahyhejQPHbXenhMennqEHT4+Mz4+c0GPJ0LDJwPDl4IDVkMe7YE0RGx HBW5HA3RsRIXu5LwUp+YoE9O1KckI+hYTUtbzUg3ZGQYEOORnWXMeWNEjEc+ Kmg8rDvg0IqHiR7A9pbW1niY6PHRZuTg+uZSs/GwoYc5tnRvKpkCYIottvSA 88QoqPcYXE+PzQAZXgPIZvuxMcIg6FhfAwE2DEF9iNFGBqhRg3h0FZUe1QqE g0miBaFoTiiaFY7OCEanwKgOjGqRTwpXqOYKx7mCMSCQsfkSFl/E5AnpXB6N y6Fy2JQR5sAIncymklgDxGFyF7MXgUbbEAqNwUYIDXIN6KuoIJaUdBcUEnJy m1MzP8YmVochZsM/55vZ+I850HJAbkT+HRP7HSbpO0tasaLj3xvR0QTRscUG HdtJ+wA4sJtyCEHHgaGjhxjHjiDoYJ0+OXL2DPc8ABAdl4XXro5etxeDG5Lb DtK7d2T37405OiqcnJQPH467uqjd3CYeu2s8PLRenpPeXlM+PtO+fjMBT2cD A+aCguZDQxbCQhcjwhafRyxFPV+OfrEcE70cG7sSH7eSEL+SlKhPTtanvtKn pa6mp6+ixsOQlWXIQYxHjjEv14igowChhwkdRZAepcVwE5wJHcBU8dg0+cca W9bqpSbjsTm2dHy96AHA2oUL2XxdCywAsaXHFwDyNfvxRYAg9EBf4K7VQNBX /CKzjCKBUQxlsNEqKr1YqBcJzcQQChdFwgWhcF4onBUKZwTCKSDUAeEkT6jh CSZg76tAyeaPsfkywBMzuKN0roDG4dFGRigjrH42k8weIrOovcMDPUxyF6OX QO9uo6HQoDTi+z+aodFTWtpVWNiRm9uakVWfmFYLzUZIgQ9Id7/7e38dvp3f eBBu/BlyI+xvmKh/wLSS/D0m/QdMNlro+DV0bCXs2mZGx34UHYdRdBw5TD9+ hAmOQ3ScA+D8Od6lC/wrlwX2V4XAXnTzhvi2g+TOHen9e3JHxzEnJ4XzQ6WL i8rNTe3uPuHhoXniOenlpfPxmfL1nfb3nwkMmAkKmg0JngsLnQ8PW4gIX4x8 vhSFoCNqOSZmOQ5FR2LCSlKSPvmVPjVVnw6Nx2pmxmpWpiE725DzxgAzS66x 4K2x0EQPABB6AHR2RynaHmaiBxJbQOXnzRe162Yd28YWlB4ES2zZXPSAnR4A bLxwIX8GaL8H1YYe6wCC0oPxRfvxxfxiBQgA62sgRsA1CnkmGRAJ0J9C3ioU H5EekQB9rgvFX+TxF3j8eR5/lsef4fGnAV8H+JMcvpbDn2Dz1Wz+OAsAFk/O 4EoZXDGdMwpG+LQRLoU9MsAa7mcxSMNDxOFBInOgh0HupPe2D3W30ggINOoH GvGfPtaRakHvBwiNzqKi9ty8lsysxpQ0XGxiFWo2sj1B4reblP+Y8yczN4IB JuLv69KKCR2FX0THNgQdW8zo2Lmte/d24t4dpAMAHNw9cHjf4JGDtKOH6SeO MmECOsU+d2bkwjnupQs8cJl/7arguv3ozRuiWw5iBB337skcHeVOTmPODxUP Xcbd3FSP3NWPPSaeeGo9vSZ9vCd9fXX+/lMBT6eDAmeCg2dDQubCn81HhC88 j1iIjFyMjlpC0BEbuxz/cjkBomMlOXklJUWfmqbPSNdnvEbQsZqNGA8Act8Y 8nMN+XkoPfKNRWgTgnnrvek1XJl50DH4AOmxVi+t21gvbdhcL7WhR5fprtZK DwB6iRuvawEJ0mPASg9bgPya/TA3j33RgSDcGDFaxeUYeRwjgD8NiATcVRvp rW/8edwlHm+Ry1vg8ua5vFkudwZwpwFXB7iTbK6WzZ1gcdUs7jiLq2Ryx5gc GQMA2oiINiKksfmAxR1gsfuHh8nD9F4mjcgY7GL0d9HJhKHeNlp3KxVCo6G/ EUf+WNdXC4iVFd3vSyA08hBoZDempn9MSKqJjEXMxlsfkOp+//f+Lnw7/42D cf0zvFjxB5jQv5nTSuJ3mNTfio6t7Tu3rUPHoT0DdiZ02A0dB+DEiWFwinX2 DPvCOQ64wL1ymYegw95eePPG6C0H0Z07knv3pPcdZU5OchQdSle38Ufuqsce 6idPJjx/1nh7a319J/39dAFPpwIDp4ODZkJCZkKfzYaHzUVEzEdGLkS9WIyO XoqNXULQER+/nJi4nIig49VKaupKWpo+/bUetodBeqxmv1nNy4H0KMgzgHxj YYGxqNAI0QFAKSrzAmtTh9gHiA6AXtR+sTX9y7ctG+iBoAMAs/ewJhd0GqEJ IAMkS3jZDBDK1wECHYgREZsJxRk2sk2CcwuNHERsI9csAxgxcEdWLYK4ME0W 4nKWuZwlDmeRw1ngcOY4nFnAmQGcKcDRsTmTLI6GxZlgctRMzjhzRMkYGaOP yGkjUhpbDG+WWQIKi0cZ5gAmm8xkkhj0Xgath07pHOonDJHaab1t1O7mQUID 4jQ+NeHJeGxfHYRGV1kp4V1h29u85qzshrT0j4lJdbEINCKKnvpneoKXLva/ 91fh2/lvHUtUCbRNK+hoDgQdb9BahwkdZRvRsaVp+1YLOrZ3795B3LejD6ID ALv9FLuD1CMAHD9KP3mCCU4NgzNscG7k4kXO5cvcq1f59vaC6zeEtxxGb98R 37snue8ofeAkc3449tBF4eqmdHMff/xY5fFE7fnzhLeXxsdH6+836e8/GRig CwyaCg6ZDg2dCQubDY+Ye/58PvLFQnT0QnTMYmzcUnz8UkLCcmLSctKr5eQU BB0r6QBkvNZnZuizsvTZ2as5kB6rIM9Q8NZQmG9A6FGM0OOdsaTYaKYHABWI 0JVwVZWfqyz0ALWfAdpc+oV66ddKpgCs8x7dn0k9UIAI6YGofwNAyL/iQGwi jJFJR8WAYjGhIEbgGzoTRgxsloHDMgDWKsdmkiGHvcxhL3HYi2z2Aps9z2bP AfYsYE8D9hSLrWOxtUy2hsmeYLBVDPY4g62ks8boLDmNJaWyJBSWiDIsHABg gMkjM0fIDBaJwQT0IeIQtWuIQqB9IlBJbYPEZkpXE2IzAMB/asKS8HW9dVU9 VQCBRocJGtlZ9WnpuKTk2ti4qsjnAITmeINXj+5/6y7/TzuWqOL3X5gQJK38 DRP9D0w8Wuj4Ijo+YDDVG9GxrX3HdsKu7d17thP37+w7sJsM0YHo0OARO9qx o0MnTzDAKSY4wzp/jn3x4sjly5wrV3n29vzrNwQOEB2iu/fE9x0lD5ykTg/l D13GXF0Vbo+U7o/HPZ6onniqvL3U3j4Tvr4aP39tQMBkYKAuOHgqOHQ69Nl0 ePhMxPPZ55FzkVHz0TELMXGLcS8RdCxBdCQj6FhOAQDSI30lM2MlK1OfnaXP ydaDnNW83NW8vNWCt6sIPYoKDcVFhuJ3BkiPEmPZe2O5iR4AVAJQBUB1NZxZ WoMaDxM9wBcftmygBwDmkqm17oECBFgAgjgQMnEdQPpNEeZXAGKk0Yx0RENG BiI6KoaBiQi+oTMwmQYWOjaZhcYx1vAKa3iZNbyEiDm8yBpeAMPzYHgODM+A 4Wnm8BRzWMcY1jKGNYzhCfqwijY8ThtWUIfHqEw5hSmlMCUDTNEAc7SfKehn 8MgMLgkJX3QWcYjRMzQEaIOd1AECldw22NdK6Wke6ESJ0YojN9X14WuIdaC7 CnSWl3YUF7Xm5zUh0EhHoJFUGxdbiUKjwD/g9RMQ7XL99/4WfDv/7YNx/RP6 AfsLJuCvmGfo3UrMb0XHlvptWxtN6NgJ0dG1d0fP/l29B3eTDqHG4/AhyhE7 6rGjNHCcfuoUA5wZBudYFy6yUXRwr9nzrt/gOzgIb98evXtXdM9R/OCBxMlZ 5vyT3NVV7vZozN1d4eGhfOI57vmzystb7es74een8X+qDQjUBgVPBofoQp5N hYVPh0fMPI+cjYyai4qej4mdj3u5EBe/mJC4lAhA8qvllJTl1NTltPTljNeQ HiBzJTtrJeeNPjdHn5erz8/TI/QoKFgtKly10MNQWmqA9CgzVpQbKz4YzfQA oAZVHQBYLJyXbqIHqP8MGuCjWmChR7upZArAWnKxAISIDiREANJr40C+ChDr izkUIHDUGMVIHTTSEFFRmQCC7mhgWHdFwcd0egZ9hclYBowlJmMRQC0Axjxg zAHGLJMxw2BMMxhTDMYknaGlMzR0hprGUNEYShpDQWWMURiyAbp0gC7up4v6 6aMkuoBE5/cOcXuHRnqG2D0A9NAYXVRaJ3UQDPa3U8itA73N/d2IzahHoEFq wfY11vTiq3rqQFdVGaG8pL2kqKUgr/FNNv51OjY5qeZlbOWLyPJnoQAEZHuB JDfHb2/Z/jMP5AbmCdoGFoSmlRdooSMeDSxp69FRYoOOujV0bEPQ0bZrW8fu 7Z37dnTv20WENyz7yAchOgbs7AbBUeqJ40OnTtHPnGGAc8PgIuvS5ZErVzlX 7bnXb/AcHAS3bgvv3h29d1/k+EDs5Cxx/knq4iJzc5O7u4899lB4PFF6/jzu 5a3y9lH5+qn9nk4EBGgCg7TBIZMhz3ShYVNhEdMRkdPPX8xERc9Gxc7FxM3H xS/AGelJi4nJS8mvllJTl9LSltLTl8Hr5cyM5eys5exshB4reTkrebkr+W/1 Bfn6ggJ9YaG+qGi1uHi1pGS1pHS17L2hvNxQUWGo/GCoqjRWVRmrq401NUaE HnCUByo8+n0xjREz0QOqGW1SRehhqpraAARYAELs/AJASOsjDGwes3SfDvQb KYis22wBoKGiUlehaHr4j7QVQFsGtCUwtAiGFlDN04fm6EOz9KEZ2tA0jT5F o+uo9EkqXUsdmqAMqSlDKsqQkjKkGBiSDwzJ+oekZJqYRBORaMJemqCXxifS uEQap4fK7qIOd1GZiI8iDNLaKZS2gf62ARLoJzZ96ob/BUhtuL7mOmJDdc/H yu460FldRqgobisphNDIycK/zsC+Sq5+GfchKrIsLAyAwLd+PqkeIPKb2fiP PZAbj00FUjSthCPo+IcNOr43o+PtF9CxBbdtqwkdzRAdWzv2bO/cu7N7HwD7 9/Ye2Ec6iJoZOzvK0aODJ47TTp4aOnOGfu4cE1wcvnSZffnqyFV7jv0N3k0H /q3bgjt3hffujzo+ED1wFjs/lLi4SF3dZI8eyd0fyz2ejHn8rPD0Unr7jPv4 qXz91f4BEwFBmqBgbVCoNjRsMixcF/58KuLF9POomaiY2Zi4WbhKMmE+IXE+ MWkhKXkhOWUxLXURQHosZWQsZWYuZWUtZ2Uv5+Qs5+Uu5+Uh9FgpyF8pLFwp KtIXvdMXF+tLSvQl71fLylbLy1fLK1YrPqxWVhoqqwzV1YaaGkNdrRFbZ8Rh jTicEf/RuAYQAJpRtf6G8aFEi3pRkVBZfyfbqB8V+GQAn1ZBPyI9GFiBoixD DS7Bf93gImVwgUJdoFLnqdQ5KnUWUGeo1GkqDdEUhaaj0CYpNM0AbWKAph6g jg9QlQPUsX6qvJ8qI1MlZKq4lyrqHRQSBwXEQV7XILdrcKRzkN05yOqkMAkU OoFCax+gwsHO/Z9aP/U1kYmA1AVtRm8rlthU01Nf1Y0DnbWAUFXSgUCjtKC5 MK8hJ+tjRnodAo14FBrhKDT8fTK9QILrN7PxH3wA+BPm0Z9Qy4GmlVAbdCT8 Cjq22KBja/OOra07t7XvBmD3rq49e3r27iXu398HDpAPoxWPo0cpJ05QT56i nTkzdO4cA1xkgsusy1fZV+1H7G9wrzvwbt3m37kruHtf6Og4+sBJ5PRQ5OIi dnGVuD2Suj+WPfaQe3iOPfFSeHorfXzHff3H/Z6q/APVgcETQaGa4Gfa0PDJ 8Oe6iEjd86ipyJjpKABi42Zi42fjE2bjE+eSkueSX82DlPnU1IXU9IX014sZ GYuZmYtZ2UvZb5ZycpZyc5dy85bz85fzC5YLCpeLilaK3q0Ul6yUlK6UvteX lenLy/XlFXqUHqtVVavV1avVNas1tYa6OgMWa8DiDNiPBjzeWF9vrG8wwgHI jcbmJqi2ZlQtRtBqbG81EtpQtRs7O4wAEQFVJyID6DKAblQ9q1BEVL160IeK pCeRVkjkFTJ5mUxe6v+0NPBpsb8f0UL/AKJ52Nk+MDdAmR2gzAxQpgcoU4Ay 1U/R9Q9O9g9q+wc15MEJ8qCKPDhOpijJlDEyRU6iSHspkl6KmEgZJVKEPQP8 ngFe1wC3c2CEMMAmDAwTBpjt/fS2/qHWfmpzP6X5Uz+CxCZyXz2ppx5FXx2x pa67sboLX9mJBYSa0o7KkrbywtbS/ObC3IbcbFxmem1KSlVCfEV01PuIcACC 3vr7ZnuDV49dw11u/t6f/W/n/9fBuEHLgfkZTSuBKDoiLIHlV9FRC9GxBb9t S8P2LU07t7bsBGDXzo5duzp37+neva8H7O89cJB06DAZogOAYycGT56inj4z dPYc/fxFBrg8DK6yrtiz7W9wrjtwHW7z7tzl373Hv+8oeOAkdHIedf5J5OIq dnWTPHKXunvIPDxlT36We3qPefkqfPyUvk/H/QNVAUHqwBB18LOJkDBNaIQ2 PHIyAoDIaF1kzFR07FTMy+m4+On4hBmQNJOYPJv0ajY5ZS41bS4tfT799Xx6 xkJG1kJm9mLWm8WcnMXcvMW8t0v5+Uv5BUsFhUuF75aLipeLS5aLS5dL3q+U lq2Ul69UVKxUftBXVuqrqvTV1frqGn1N7WpN3WoddhWLW0XogcMb4CzTekN9 g6GhwdDUuNrcuNratAqaV9sQtay2I2pdJbShakek7+zQEzr0nQR9F6LOla4u qJ7uZUTEnmUiEdFST+8SEVHfYm/fAhRpnoSIPIeITJ4lfZqFFuXTNLl/ChGp X0fqnwT9WnK/hjQwQRpQkwZUpIHx3gFFb/9Yb7+8t1/a2y8h9ot6+kd7+oVd /fzOTzzCJw7h00j7J1b7p+H2T8y2T/Q28lAzmdpEHmwiDzSQPtWTSKjB6EaS GranHXS3VHc1VnbiKzuwoL2mtK2yqLWsoLkkt6kopz4vE0IjFYVGTFSpCRpP fbO8QdoT15cu38zGf/yBUcVqOfw3oOMfa+jI/AI6tlRjttRu2YLduuWjCR1w S/WO1p0723fuJoC9nbv3de8/QDxwqO/QYZLdkU9HIDooJ04Nnj5DO3Nu6PxF +sXLTHB1GNizr91gX3cYcbjFuX2He/ce774j//4DwQNnofNPow9dRl3cRG7u 4kePJY+fSB//LPP0knv5jHn7jfk8VfgGKP2DxgNDVIGh6uCwidAIDWKGw19o I6K0kdGT0TGTMXG62Jc6ED8VnziVmDSdmDyd9GomOXUmJW02NX027fVcWuZc ZtZ8ZvZ8Vs5Cdu5CTt5i7tvF/PzF/MLFgiKEHktFxUvFJUsoPZbLypbLypfL K5YrPqxUVK5UVq1UVa8g9Kiu1dfU6euweixODwsgH/V4PFR9/UpDw0pTwwpo XGlqXGluWmlF1LzS2gLV1rqMqL0NVfsSoQMVAdFiZ+diZxeihc7uhS5EPQs9 PfM9RERzXb2zPb2zxN4ZYh+iaUQ9pCm4LJukI5IniWQtkawhkicAWd1LVvWS x4lkJfGTgvhpjEiW9ZClPWRJF1nURR7tIgs6yfxOEq+dxGknjbSRWG2k4VYS o5lEbyINNfVR6/sG6/sG6vv68b1kfG8fjtiDQ4vDdd1t1V3NgNBQ0fERtNeB tuqilg+FzWV5TSU5DYVZ+LwMbFZaTWpyZWJ8eWxU6XOE5EF5T/2yfCA0Eh89 CP1mNv7zDwJ+jOufoOXwRC2H/1/X0BFlQcerr6IDU4XB1G7BYLdiPsL7WQBg uWNHy45dbWB3x669hD37u/Yd6DlwqPegXZ/dEfIR1HicOEU5dYZ65hzt3MWh C5cZl64ygf0wuM6yv8l2uDVy6w7n9l3uvfvc+w94D5z4Dx4KnF2ED91GXR+J 3B6L3Z+IH3tKPLykT3xk3r5yH/8x3wCFX6DSP1gZGDoe9EwVAkBohDo8ciLi xcTzKE1ktCYmVgvitLEvJ+MSJuMTdQlJuoTkqcSUqeTU6eS06dTXM2kZM+mZ sxlZsxlv5jJz5nJy53PyFnLzF/IKFvIKFwqKFgvfLRYVLxaXLJaULpa+Xyor WyorXyqvWKr4sFRRuVRRtVxZvVxVA1VduwxvXrDLdbhlLG4Z93EJh1/C45dA /VJ9/VJDA6rGpaamRUTNzahaFhC1ti60tSGab2uHau+YayPMtSPqnCN0zhK6 UHXPdHbPdPVMd/ZMQRF1iLqIk129k7BppFfT1TvR1afu6lN19Y2DvvGuPkVX 31hXn7yzT9bZJ+3skxD6RIS+UUKfoL2P397HbevltPaONPeymnuHm3sZTb30 pl5aQy+1njiIJw7gif04IhlL7KvrIdZZLpWqO1srCU2VHfXlbTjQWlvcUlXY XJHf+D63oTgbX5CJy03HZqXUpCVXJiWUxUaXRCLQCM4LgNBI9XRLdH8Q7XIH gJO/96f+2/kfOBgX1HJ4/Bnj9Zf/j+iogZVSAGBm2dqwfXvj9p3NYFfrrj1t u/d17N3fuf9g14HDPYfteu2O9h09Rj4GwHHkw3Nm8NQ56rmLtPOXhy5eZVy2 Z4Lrw+Dm8E0H1q3b7Nt3R+7e59x35Do68R485Dv9xHd2Fbg8Erq5jz7yELl7 ij28JE+8pZ6+Um9/mc9TuV/gmH+wIiBEGYh8UMPGQ8LHw56rwiJVz1+oQbQ6 KmYiOnYiOk4TG6+JS9DGJ2oTkiYTXk0mpeiSU3XJ6VMpr6dSM6bTMqczsmcy 3sxk5cxm581mv53LyZ/LK5jLL5wvKJoveDdf+G6+qHi+uGS+uHSh5P1CWdlC WflCecVCxYeFisrFyqrFqupFeHVbu1hTt1iHCLuAxUGBjwu4jwt4/EI9fr6+ fr6hAVXjHKKmprmG5rmm5tmmFqjm1pnmtplWRO2Ipps7plsJUG2dU4jaO3Xt XZOICF3a9m4toVtD6J4g9EzAy98eFaFnvL1HSUBEVADiWDtRRiBKCURJO1Hc ThS1E0fbiYI2Ir+NyG0lclp7Rpp6WE09w009jIYeen0PDd9DxXcP4roHcN39 2G4ytptU091b09UDBy12EioJbZUdLRUAlLfhQSsWtNSApsqCxvK8htIc/Lus j/kZ2Jy02syU6vTED0lxZXFmaOQG+mX6eKZ6ggT3BzEudwJhg+i3kPK/4cCo glgO9z8hluO/j44fMRX/xlTCcgcAW7dgt237uG07fvvOBrCraeee5l17W/fu b993oGP/oc5Dh7sPH+k5crT36PG+4yfJJwE4BcDZc4NnL1AvXKJdvDp0+Rr9 6nUGuMEEDsMOt1m377Dv3mPfcxy5/4DzwJnr9BPP2ZX/0E3g6i508xC6Pxl1 /1nk4S329JF4+Um9n8p8AuR+AASEjAWEjgU9UwSHKUIjlGHPlSByPCJq/Hm0 KjJGFR2rinmpjo2fiE2YiEvSxCdrEl5pE1O0yWmTyemTqa91qRm6tKyp9Oyp jDfTmTnT2bkz2XkzOW9ncvNn8gpm8gtn84tmC9/NFhXPFpXMFpfOlryfKy2b Ky2fK6uYK/8wV145D9vGqucrq+cqa+aqaueq6+Zq6uYAdq4OO4fFzUJ9nMXh ZxDh66HqG6brG6fxiJqm6pumGpoR6RpadA2tuiZEbZNQ7Yi0TR3a5g5NKyLC RBtBDdWpau0chwKgrUuBqLVrrLVL3tYla+uWgm5xa7eotXu0tVvY3C1o7uY3 d3ObujlN3eyGLlZD13BDF6O+i17fRcN1UXFdFGznALazv6aTXNNJqu7srSb0 VKEdLJUd7RXtreVtTWWtDbAe2lxX3FRd2PgBNJTl4kuycUWZ2LfptW9SqzOT KtMSKpJj3r+MKn6BQCMEQsPXKwVCwwmBxjMXewDO/N6f92/nf+xgXP6EcUMt B0THf6Gv7P+KCTKhA/wSOuAblh8x5dB4ALBlS83WbXVbt+O27fwIdtXv2NOw c2/T7v0tew607j/UfuAw4eCRTruj3XbHiUdP9B47STp5moyg4zRCjwuD5y9R L16hXbo2dOU6/eoNBnBggFvMW3eG79xj3bvPvv9gxNGZ8+Ahx9mF+9CN5+LO d30scHsidP959LGXyMNH5Okn9vaX+ADgGyjzC5YFhMgCQ+XBz+Qh4WMgYiz0 uSLihSIiSvk8WhkZo4yKG49+qYqJV8UkquOS1PHJEwmvJhJTNUlpmuR0bcpr bWrmZFrWZHq2LuONLjNHl5Wry8qbynk7lZM/lVcwlV84lV80XfBuurB4urBk uqh0uvj9dEnZTEn5TEnFDOxa/zBTVjlTXjVTUQ1VWTMNaqerEdVNIarBQtXh dHUfobD4SUS4+klsvRbXoMU1omrS4BE1a+qbJ+pbJupbJxpa1fWt6oY2FVT7 eEO7sglRh6KhQ9HUMdYEQBNB3kyQNRGkTQRJE0HcRBABwmhDp6Chk9/Qyavv 5NZ3cuo72XgCC09g4gkMHIGOI9CwBCqWQKkjDNR1fKrpIFd3kKo6eqs6iKa+ 2Yq2jvK2ttLW5tKWxpJmPGjCFQFQ0FCdX/8hD18GcMVZ2MKM2ry06uyUyoyk itS4sqSY0peRxVFh0GkE+WX4eaX8DBIeO0eboXHxm9n433Sg5XBBLccTBB1/ wfz8XxgfKzr++kvoMD26L4WZBfl3bK3csq16y/ZasLNu2y7ctt347Xvrd+xr 3LW/ec+Blr2H2vYfbj9oRzh0pMvuGKTHsRO9x0+RTp6B9DgDAHx9f4V66Rrt sj3t6o0hewc6uMUAd5jg7vDd+8N3H7AcndiOD0ecXDhOrlyXRzzXxzw3D/4j T4G7l9DDe/SJr8gLAK+nYt8AiV+QxD9YEhAiDXomBWGykHBZaIQ8LFIe/mIs PGosInrseawiMk4R/VIZkzAekzgel6SKS1bFp6gTUtVJaRPJ6RMpGZqUTE1q liYtW5v+RpuZo83K1WbnaXPeTubkT+YWTOYVTuYVIdLlv9MVFOsKSnSFpbqi 97piAIrLdSUVutIPUOWVuooqHaiarKierERUo62s1VYhqtMgqsYimqjBTdR8 RIVX1yGqR6TCNqiwjYjGsU3jOETNSqgWBaoxfOtYfau8vlWGb0MkhQIA3y6u bxfh20fx7UJ8uwC08/DtXHwHB98xgutg4zpYuA4mtp2BbR/CttPq2ql17ZTq 9oHq9k9VbeSqNlJFWy+MISa1dpS1tJU2t5Q0NxU31YPGj6ABW9BQkw9ALr4i B/c+C/sO1BakV+emVGYlfXgdX54S+z4xqiTu+buoUACCcoL9Mvy9EWjEI9Bw vYtAw9fl8jdo/O87Zsvx+M9mdHiZ0PFfv4iOHzB5/8QU/AuOQy/5EQA42XjL B8zWKrCteuv22q07sQg9tu/G79jbsHNf425Ij9Z9h9oOHO5A6HH4KEKPniMI PU72nThDOnWOfPpCP0KP8wBcuDp4yZ565QbN/ubQ9Vt0h9t0cJcB7jOB4/A9 J9Z9Z9aDn9hOriPOjzgu7lxXD94jT/6jnwWPvQUeAHj6jXr5j3o/FfkEivyD RCBYHBgqDnomCQqTBIdLQ55LwyKl4S9k4VGyiBh5ZKw8Mm4sKn4sOkERk6iM TVLGvRqPTxlPTFUlpquSXquTM9TJmeo0RFnq9OyJjDcTmTkTmbkTWXkT2W81 2fmanAJNXqEmr0iT/05bUKwtKNHCWR/vtcWIyjQl5ZqSCk1phQZ80JRVTpQj qlIjqqhWV9SoEFXWoqobR1SFRaSsximrPiJSVOEV1YjqFTUNY4jqGsdqGuU1 jbK6JkRSLKJmCbZZDNUiqmsRwevRViG2VYBr5WNbedhWLmgdqWtl17Wy6lqH 69qYNa2Mmtah6lZadSu1upVS1TpQ1fqpsoVc2dJX0dJbjj7uK2vuLG3uKGlq K2lqKW5sAg0NoAEP6nEF+Nq8j9W5Hz/kAJCFLc2oLUqvzgeVOckfMhPL0+Pe v4ouSYh8Fxte+CIYgMCcEAiNV14INB6i0Lju73IZMZa/92f82/mfP2bLYSqQ mtHxl19HR/YPmFwUHXC7vdl4YCrAlg9btlZt2VazdUfttp3Y7bs+muixax8S W5r3HoT0OHi445AdElu67I73HD1JPH6678RZ0ukL5DMX+xHjcQHxtABcuT54 9SbV/hbt5u0hh7v0W/cYwJEBnJjAedjxJ9YDF7az24iL+4jLY47bEy5cKOnF f+zDf+Ir8PQTePsLfQKEIFDoFzTqHzIaECoKeiYKChOHRIhDnotDIyVhUZKw aGlEjDQyVhb5UhYVL49OGItJGotNVsS+UsSnKBNSlQlpyqR0ZfLr8ZSM8dTM 8dSs8bTs8fQ3qowcVWauKitPlf1WlZ2vzilQ5xaqc4vUee/UcF5QsTq/RF1Q qi58rypCVKYC5aqS8vGSCqjSD8qySlRVitIqRVm1oqxmrBxR7VhFrbyiTl6O CCuvwMkqEX1EJK3ES6sQ1Uuq68VQDSJUo9WNozWNwpomQTUiAGqaeDVN3Jpm TnXzSHUzGzQPVzczq5oZVc30quahymZaZfNgRTOlonmgovlTRRO5vKmvDMUF fBTc2Fna2FHc0Fbc0FJU3wTqGwAeX4DH5X+sy8XVZGMrs7EVmXXvMwBIqy5M rXyb8uENKM+If58WW5Ic/S4+ojAmND8SgYb/mxCf10+9XnmDeA+XKNf7z1xu otA4881s/G89kBumO9nfjo7XP2CyUHTk/wtdVI0WS98DuACuArOlEqHH1m01 23bUbd+J3bHr44499Qg9du9r2rO/Zd9BWPQ4aNdx+Gin3fGuIyd7jp4mnjjb e/J835kLpLOXPp2/0o+g4xIAyKfumsOg/W3qzTs0h3tDtx3pdx4wgDMTPGQC l+EHbiznR2yXxyOuALh5ch79zH3szfXw4Xn68jz9eOAp3zuA7xso8AsW+IcI A0KFgc9Gg8JHgyNEwc9FoS9EYVHi8GhxRIzkeZzk+UtpVLw0KlEWnSSPTZbH vZLHp8gTUscS0sYS08eSXo8lZ4ylZCpSsxRp2Yr0N4qMHGVGrjIzT5n5VpmV r8wqUGYXKJH/R84pUua+U+YVQ+WXKAtKFaBUUfheUVg2VoSofKy4XF5cIS/+ IIOqlJVUSkuqoEqrJaU1kjJEtZLyWnFZHSqsqBwHVYEbrfiISFjxUVCBF1Ti +ZX1iHhV9dzKBi7cFNMwUtnArmxgVTYMVzYyQCO9snGoopFW0UitaBwsb6SU N/aXN34qayCVNfSZBgiU1HcV1xOK8R1F+LYifAv42AQ+NgAcPg+Hy8XWZWNr suqqsmo/ZNSWpdeUplW9SwUg+UNeUnl2wvvXoCQ15l3S88KX4fnRIYjNAMAv K9j7dYAnAo2XCDTcEGg4+Ltc+QaN/91nzXK4/9kmsPwF47sBHWCtJSz1O0z6 9wg64LZZWO6AxgOuuS/5N5z5Uw53OW2p3Lq1etu22u2QHjgTPXbubUTosRel xwG79kNHO+yOdx452XX0VPfxMz0nzxFPX+g9e7Hv3GXS+avkC/afEHTAQccA XL8zePMu1eE+7c6DoTtO9HsPGcCFCVyHnR4NPwTgoQfb9QnbzXPE3WvksTfn iQ8H+HK8/LneT7neATzfIJ5vMN8vhO8fKggIEwSFC4IjhMGRwpAXo6FRo2HR ovBYUUScOPKlOCpBEpUoiU6SxiRLY19J41KkCanShDRZUros6bUsOQMqJVOe kiVPzZanvZGn58jTc+UZeWOZb8fgTqgCeXYhVE6RPPedPLdYDopleSWy/BJp fqm0ANF7SWEZVFG5GKpCXPhBVISoUlRcOVpchapaWFwDVVIrQFRah4hfiuWX YXlQOG4ZjgP1caTsI7vsIwsGDfxwGZ5ZjqeX44fK8DSAp5bjB8vqKWX1A2X1 /aX1n0rxpFJ0ZhGi4o9dRR8JRbj2QlxbAa4FYJsAtiG3Dp9bh8uprcuqrcmq qcqo+ZBeXZ5e9T61sjj5Q2FyxdtEABLeZ8WVvI55lwKKEiMK4kLfRsFskh3q mxHklfb0cbIPePnkoQ00zn7+fPT3/mh/O/93D3yx4mqDDvMNywZ0/G0NHUnf YVJQdGT+ABdH5proga6rLkYXskB6bIH0qNqG0GO7lR54hB679jbu2d+092DL /sOtB460Hz7WYXeCcORk57HTXcfPdp8633P6AvHspd5zV/ouXCNdtCdfuvHp KkoPewBu3hu85Ui9/YB2x3no3k904MKAV4SPmA8fD7t4DLs+Ybn9zAJe7Mfe bA8f9hO/EU//Ea+nHJ9Ajm8Q1zeY6xfKC3jGCwjjBYbzg57zgyIFIS8EoVHC sBhheOxoRNzo83hRJKIEUXSiKCZJHJssjnsljk8Rx6eKE9IkiemSxNeSpAxJ cqYkOUuSki1JfSNNz5HCeUF50sy3iCSZ+ZKsAkl2IRQoEucieifOKRblFovy ShCN5peO5r9HJMwvExaUCfPLBQWIKvgFH/iFiCp5RZW8wipU1dyiGkScYkS1 IyVQ7JI6VnHdcAkiLLMEy4A0wNFLcLQSHLUEN1iMowDcQDGuvxj3qQhHLsL1 measFmK7C7CdBVhCQV17fl0rqG0BtU2gtiGnBp9Vg8uqrsusrsmsqkqv+pBW WZ764X3yh+KkiqKk8vyE93lxpW/iSjJjAIgqevW8IAG8jQ3NfQFtRmaIT3qg Z4o/SESchqfzCwiNWyg0zn3+fOyb2fh/4ZgLpL8JHX+HL2cT0cyS/j3kRhZ6 z5IL4O7Igh/X6FGGrrz/sBXSowahx44d2B07P+7cjd+5t2HX/sa9B5v2HW4+ YNdy8Gib3fF2uxMdR04Rjp/pPHGu69T57jMXe85eJp672nvBvu/SddLlm+Sr tyBAriP0AMDhweBtJ+pdAO65DDm6DgE3OnCng8cMFw8G8GQ++pn5yGvY3XvY w5fl4cfy9Gd7BbC9A0d8gkZ8Qji+oZyAZ5yAMG5gBDfoOS84khcSxQ+J5ofG CMJjBeFxgoiXwsh4YVTC/2nvPNzSPPcG/PwrzTbDCIKAqIB7izNuXHnZyJQp S1EERIaKintvo0aNUbPTNG2zR5u2p+dP6fe8LyYxaTrO7OnX577ui8vrXKc1 sXD7e553/c3h+Zuj+28d3h87e350+n50+n90BX50B3909/7Y3fd3b//fvaG/ ewf+7gPAP/T3ADT89+Dw3/tGfoT2j/4Ixn4Mjf0tNP63AejED7iTPwxMfT8E nf4uPP3d8Mx34dk3uHNvhue+HZ7/dhS68M3oIu7Y0uvRpddjy68IX46tvBxf eTGx8nx89Rl0YvXpxNqTCdiEtUfja1+Pr301vvbl+NpDsPbFOHFT94ija7dH 126Nrt0Irx6EV/fAyi5Y2RlY2R5Yvhpa3uhfuhJcWg0uLvsXF/0L87752e65 Kc/chHt2zDUz7Jwe6pwKOSZ728f9VgDMIy5TGPYDaGE0eg0Kv1bSrQYueVOn tL5NWAOjocbgf6C8n35KQ9H4ywA+nQ7FYTrw47ORdLSBmI7TMV2H2x0ARMX0 RjZLQcwQceOO0aP1iCHqQY5ZitSDQrmC14O+SWNcpTG3GInb8aydBPa1pORd duoeO30/OeMgJetGas7N9Lxbmfm3s7l3sovu5pXcyy+9X3Dp86KKB8VVX5RU P4SzRwUAlQDgj5VselSLPebxHzcIngDREyB+CiRPgeyZoPm5QP5cpHwhUb2Q qF9KW17KtK/kulcKw2ul8bXa9FrT+o3G8o3W+q3O9q2+7Y2x/Y3R8Z254ztL 53cW53fWru9sru/t7u/bPd+3d3/v8H7f0fO90/e90/+DM/CDK/iDuxfX0/dD NwDdoR+8Az/4Bn/wD+EGwt+D4e+D0JHv+0a/g/aPvekbe9M/Dv02NPFtaBL6 TWjqmwHo9Ouh6dcDM6+GZgnnXkLD8y+HF16EIy4+H158Nrz4dHQJ+mR46fHw MvTR8PLX+FNjVr4cXnk4uvLFKPEIKsjwyt3wyp3wyq3wys2h5RtgeR8sXwdL u2Bpp39pq3/xat/iRnDhSmBh1T+/7Jtf9M3Nd8/OeGam3DMTrumxzqnhjsmh jomB9vE+21jAOtpjGek2AWAYdMAxA/S1KgN6WU+L2K0EzuZGh6TOLqxuxcrV GJwJ85MxFI2/FocbHT9fsODpOB7TciQddhDjOB3jxNOBd8MX2SwFRD3Ov6/H eGTL9CJRD9JhPVYosatU6hqVth5H36DFb9ISrjKStpis7QTOTlLKNXbadU76 HidzPzX7IC33RkbezcyCW9mFt3OK7+SW3C0ou8ctv19Y+Xlx9YPSmi/w2aP+ S1iPakIeAHX8R0D4qEH0uFH8GEifANkT0PwUKJ4C5TOx6plY81zS8lymfSHX v1AYXiqML1WmV2rzK7Xltdb6Wmf/Rt/2jaH9G6PjG1PHt+bOby3Ob21dhK5v 7e5v2z3ftne/cXjfdPS86fS96fS/cQbeuIJv8FsG9b3x9L/xhN50QwfeeAff gMFvfUPf+sPfBsLfBIZxgyOvg6Ov+6Bjr4LQ8Zd90ImX/ZMvcKegz/unn4eg M88GZqFPB+aehuaeDsw/GZh/PDT/aGgB+vXQwlfhxS+HcB9GHnY5FHHx7sDi HbB4a2Dx5sDiDbB4ABb3wOL1/oVrfQs7ffNbffObgfmNwNwV/9yqd3bZO7vo nZn3TM+4p6acUxPOybHOieGO8aH2sQHbWJ91NGgZ8ZmGvcYht37Qic8YAKiC RuDTSbo1wi4F6JDVt4lrrIIqE1amwieN/AwUjb8keDci6YgMHpF0NMN0HItR H0mH5VSM7XCnFIAz+JrFC+sBDg+1/FI9ZknEpgesRyx5mUpZocatxtGuxDHW 6cwNRuImg3WVyd5KTN5OSt1hpe1yMq4nZ+2l5Oyn5x1k5N/I5N7MKrqVW3I7 r/RO/qW73Ip7RVX34Xu1tPZBGe9BRf0XlQ0Pqxsf1hC/cPGAANAAQKPkUZP0 ESZ7zJc/BoonQPkEqJ8CzVPQ8kyqeybTP5cbniuML1StL9Tml2rLS631pdb2 Umd/pW97ZWx/ZXK8Mne8Mne+sjhfWbteW12vbe7Xds9re/frdu9rR8/rDt/r Dv83cHbvDH7jhPa+dvW9dve/dodeg9Dr7oFXUO/gK+/QSx80/NIffuEfhj73 jTz3jz4PjD4LjBGOPw2OPw1MPAlCJ58Epx5D+6ahj/pnvsad/ap/9ktoaO5h CID3zt/rB6B//k7/3K3+uZtg7gaYOwBze2DuenBuNzC3E5jbDsxu+Wc3/bPr vpkr3pnV7unl7ulFz9Sce3LGNTHlnJjoHB91jA23jw7ZRwasI33m4aA57DcO efWDHt1AlzbUgRcDALnfIPVqgUsNOuWgXVpnE1W38sv1WIkKP+San4ulo2j8 VQEfp0P0qXQYT+I3GCTWLPiU4iTuUOoBRD3O/mo9YmA9SHMk0kIseZESu0Sl LlNpq1T6Gi3+Cj1hnZG0wWRtMjlXE1K2WGk77PRrnMzdlOzrqbl76Xn7GQUH WYU3sotv5pTcyi+7XVB+hwtAUdW9kpp7JbX3y3mfV9R/DhoeVDU9qL78RQ32 kCd4COtRHwkIABgAfPkjvuKRUPVYpH4MNE+A9gnQPQX6p3LDM4XpmbL1mcr8 XG15rrE+19qe6+zP9W3PDe3PjY4Xpo4Xps4XZucLS9cLi+uF1f3C5nlh635p 876097xsB8Dhe+nwv+wIvOwMvoA6e1+AvhcuaP9zd+i5J/TMM/CsGzr4FOod etIdfuKFDj/GHXnkg44+8o9Bv/aN4/onvvJPfBmYhD4MABAEIPKKO30Pd+Zu cOYOmLmN/yeYuQFmDsDMvn/6un96F0xf801v+6a3vNNXvdMb3qn17qm17qlV z+Sye3LRNTHnGp/pHJvqGJtwjI62jwzbh4es4ZAl3GceChoH/YYBry7k0fS7 NH2dqt52BQAyf6sUAJGnReRUAUdzg11SYxFWGbGyFqxYgRUAkFuIZaBo/JU5 XK38VjrwerTigwcAxGZpB4gsW/BDLT3EM1mCxJ1/IlumH9TjImk6hjRDIs+S Y+cplAUKdZEatxRHW6ExVmnMNUbilfikdSZ7IyF5MzH1alLaNidjh5N1LTln Ny33enr+XgZ3P6voIKfkRm7pzTwACspvF1beLqq6U1Jzp7T2Lqi7V15/r7Lh flXT59WXP6/hP6gVPOAJv6gTP2yQPIT1aCICAhXADwIAYs0jifYR0D0G+sfA 8BiYnoDWJ8D8RG15orE+1dieau1PdW1P9e1PDY6nxo6nxs6nJudTU9czs+uZ 2f3M4n5m9TyzAmDzPrP3PGv3QZ86/E8dgacg8LQj+KSzF9fZ9xjq6oc+coeg X3sGvvYMQr9yD33lgYa/7B4mHHnoAaCb0PtW3/h93/g93/hdMHEHTNwmvAUm b4LJG77JA/z/M7nnnbzunbzmndzxTm6BiaueiU3PxLp74oprYs05seIcX3KO L3SOzXWOznSMTHWMjLcPj9rDw7ahIetgyDTYZxoIGkM+Xb9X2+fR9LpUvZ2K oEMOAMyFxGsUAyDs0oAOJWiTAau42iSogGOGGiuSYflCLLsMLU8QkUvsf54O KZEOJZEOzYkY7cnImgV/PdzxII7SdkX9Yj3ww7X4lilp/CJp4iJ5KiZ2mkSZ iaXOUuLmqbQFKn0xjrFMi19hJKwyktaYrCsJnPWklI2ktE1W+hY7czs5eycl 91pq3m56wfXMwr2s4v0cAPLKDvIu3SiouFlYebOo6haouV1Se7u87k55/Z3K hruVTfeqLt+r5t+vFXzOE35eJ35QL3nQIPuisfmLJvlDTPEQ1kNIKCbET1mH A3nkZqDmR8DyCFgfAdsjYH8E2h6D9sf69scGx2Njx2Nj52OT87G567HZ9dgC gNXzGLf7sc37yN7zqL3nEfA9avd97fB/3RH42hH4yhH8qiP4ZSdc0bzV+fYV 6norztB9EL6HO3wXd+QOGLkNRm6BkZuekRueUeiBe3TfPbbnHrvuGtt1A+Ae 23GPbbvHrrrGNt1jG2DsinN0zTm62jm63Dm65BhdcIzMtQ/PtIen7OFx+9Co bXDYOjBkDoVMoT5jf1Df59P1ejVBjzrgUgY6FX6HjCiGuLtV6DYIurQws6Bd UW+T1raKgIEfGTO4EiwXgMxKLOWnn1h/9HsW8T/Bp9Lx2ft0qI7jT2BpOXl0 8MB3PNp+Tz0ukIajSaPR5LGLseMXKRMk6hQ5bppCm6HS56iM+TjGAi1+kc5c ZiSuxCetMtlriclXklLXWWkb7IyrnKwtTs52Su5OWv61dO4ufmVc8fWckr28 sv38S/vcigNQeVBUfaO45mZJ7c2yultl9bcrGm9XNN2punynmn+3RnC3VniP J75XL7nfIL3fKLvfJP+8SfEAUz0QqL8QaL4Qtnwh0n4h0T2UGh5KiYAoCJXE Al/1O+48/Bv4H4AA9HMQ/Bz03sftg94D/dC7oP9OZwh62zkAvdU5eBN36IZz 6KBzaN+Ju+cMX+8M73aGr3WGdzqHtzuGt/DdleHNzuGNjuH1juG1juFVEF52 hJcc4cX28Lw9PGcbmrENTlkHx60Do5bQsKV/yNQXMvT1GXqDuqBPE/Cq/B6V 36Xwdcp6HFIiniK3Wegy8Z16rEMD2pX4lpFFUm0UVugwoDocM2C0M2qwZDRp IN6B3xDsXTqwD9MhJ9KhxI/PEmuWd8sW4v7GtlO/WQ/S4AXSUDQ5HB07Ek0Z jaGOkeLGybTJWPoUhTFNZcxQ4+dozHl6wgIjcSk+aTmBtZLAWU1MWWOlXmGl b7AzNznZV5Nzt1IASCvYyeDuZBZdyy6+llO6m1t2HVy6zq3Y41buF1XvF9Uc lNQelNbdKK2/UdFws6LpZuXlm1XYrWrB7Rrh7VrRnTrJnXrp3XrZ3Ub5vUbF vSblfb7qvkB9X9hyX6S9L9bdl+g/lxg+lxofyFofyM24CssDpfWB0vZAY3+g aXugbX+gc3yhB0Df8UDf+cDgfGDswjW5HgD352ao5z5u931L9z2r9561B3rX 6rtr892x+e/YoYHbtsAtW/CWPXjTHrzR3gs9sPdB9+39++39e/bQXnvoento 1xG65hjYcQxsOwa22geutg9stg9u2KEA2AfX7IOr9sEV++CSfWARDMzbBuas AzPW0LQ5NGkOjZv7R019w6beIWMwpA/26QJBjd+n9nmVPR5Fj0vu7ZR2OyIT l9Bl5jtNTZ2GJocWtKmBTVFrkdUAUKEXlGkwICfGDAzLgj/8coyDbhmK+IiP 0xEZPMRv0yE/PD6L36G05USM7gTx6/Td7BE5zePdlmnkgAtxuDZ4ltR3jtR/ njwQHTsYTRmKpoYvxo2QaKNk+lgsY4ISP0mNn6Iyp+MSZmmJc/Sk+XjWApO9 lMBZTkxeSUpdZaWtcTLWOVkb+H2PczdT86+mFWxlcLeyirazindA6U5u2bX8 S9cKKnYLKncLq64X1lwvrt0r5e2V1u+XNeyXNx5UXD6oxG5UCm7UCG/Wim7W Sm7VSW/VyW7Xy283KO40Ke9gqjt89R2B5o6w5Y5Qe0ekuyvW3xUb7kpM96St 92Tme3LzPYXlntJ6T2W7p7bfUwOgab+nhTru6Tru6Trv6jvvAuddg/OOoeuO seuOyXXb6IbeMnpumaDdN81QL/SGuefA3LNv9u1bfHsW/57Vf90SgO5agtBr 1l7ojrV329q7Ze27au3btPZtWPvWrX1XoJb+NUv/KlwlWfqXLf2Llv4FS9+c uW8W9E2b+qZMvRPG3jFD76ghOKwLDOkCIa2/T+sLqnt8Sq9X0e2Rd7uknk6J 2yEiVmp8pxnrMDU6DA1tWmDXAKuq1iyvMkkrDaIyAPCDJjIMRMYM+JMvxlgo GohP8mvpkBFrFjnRDXzH43iMFsTo3q5czJFNjyNbpkfqQfKfJQXPknvPx/Zd oPRHUwei4wYv0oZI9GESY4QcP0qJH6MwJ6gJk3GJU7SkGTprNp49F8+ZT+As JiYvJaYsJ6WusNPXYDeSs66k5Kyn5K6n5W+kF2wA7mZm0dXs4qs5JVs5ZVu5 l7bzK7bzK3cKqnYKa64V1V4r5u2W1O+WNlwva9yruLxXie1XCvarhQc1ooMa yQ2e9AZPdqO++WaD/Gaj4maT8iamuslX3xRobgpabgq1t0S6WyLDLbHxtsR0 W9p6W2q+LbXclltu4wsZ222V/baq7ZYa2n5L034LOG5qO27qoJ03cJ0HuF0H +q59vWvf4NrTu69DDZ5d3O5rRqh3x+TdMfZs4/q2oCb/VaN/0+TfwA2smwJX jIE1U2DVFFgxBZeNwSVjcNEIgCE4ZwzMGgPThsCUITAB/ON6/6jOP6L1hTW+ QbUvpO7pU3mDqm6/wuNVeDwyt0vq6hQTO8MCALAOc2O7qaHNAGxaYNUAs6q6 VVFpbC7Xi8u0Qnz/E4ACMT5mwFSkVWKcfCwRRQPxK/xaOqSHm6UAHItRHYtR A3zw0OInpf9CPUCkHiRvFKkniuw7G+s/RwleoPZeiOuLpoUu0gdiGIOk+HBs /HAsc4SSMEpNHKcmTcSxJunsKQZnJp4zm5A8l5CykJS6yEpbwp8smbHCyVxN zlpNyVlLzV0D+VfSC65kcNczi9YzizeySzayyzZzLm3mlV/Nr9wqqNri1mwX 1m4X8XaK63dKG66VNV4rv7xbge1WCK5XCveqRXs14r1ayR5Pulcn26tv3m+Q 7zcq9puU+02qfUy9z9fs87UHAt2BUH8gNByIjDfEphuS1hsSAKTmG3LLgdx6 oLAeKG37Svs+sO+r2vbUbXuq9j11+3W1A1fTsQvVdl7Tdu5ondBtbRd0S+va 0rmuat3QTa1nQwftXtd2r+u8V6B675q+Z1Xfs6LvWdb1LOl7FvU9C/qeeV3P nK5nVguAtmdK1zOp6xnX9IxpvCPAG1Z7h1TdA8rufmV3n8ITlLv9MpdX6vJI ulxiZ2dkK5jvsDW1mxvtpgabAVi0wKypMamqjIoKfXO5TlLSIipW87nEYdY8 AZbdiEcj9RLGzsK/gNGI+qPfm4j/aT6RDiGRDvHhiWF4N/BlC8D3SzWHy5Z3 9Xh7wIW4ZylRD5IriuSOInuiYr1RlJ5zVN/5uMAFWjCa3nuR0X8xPhQTP0Bm DpITwtTEYWrSCJU1RmOP09kTdM5kPGeamTzDTJ5NSJmDv/JYqQustEVW+iI7 c4mTtQxylpNzV1LyVtMKVtO4a+lFaxnFVzJLrmSXredcWs8r38ir3Miv2iyo 2eTWXi3kbRXXb5U0bJc2bpde3inHdsr51yoF16qF16pF12rE12ql13iya3XN u3Xy3XrFboNyt1G126TexTS7/JbrfO11ge66UH9daLiOH881XZdAW69Lzbsy qGUXWK7JrdcUUNuO3L6jsG8r2raVbVtQVftVqNKxCVV1bKg61lWd0CsqJ3RN 1bWm7lpVu6Arajd0We1ZUnsWNZ4FtWde45nTeGY1nhm1Z1rtmVR7JvANW8+Y yjOidA8r3UMK9wBwheSuPpkrKOsKSLp8ki6v2OkRd7qEHZ1wuuDDAaPN1mg3 N1hN9RYDMGuBSVNtVFXoFeW65tIWSbFaVKQSwGLkS7Fc0eHCJA22ohhLSsWj Qfnpp5N/9LsS8Sfg0+kQRSS6gQ8e4HDLNFIPLVEPA36S2GE98E2PUzGO06QO QO4E5K6oWFcUxR1F7T4X5z1H6zlP90czAtHxwZj4XhKzn5QQIiUMxCYOUhLD 1KS3AWEdBoTBmYoHADYkIWU2MRU6x0qfBxnz7KwFTvYiJ3cxOW8ppWA5lbuc VriSXrySUbKaVbaWfWktp/xKbuWVvKr1gpp1bu1GIW+jqH6zuGGzpPFqyeWr ZdjVcv5WhWCrSrhVJdqqFm/VSLZqpFu1sm1e8zZPvl2n2K5XbjeothvU202a HaxlB9Pu4PcA0e8I9NtCw7bIuC2GmrZA65ak9arUfFUCtWxKodYNmXVdZoNe kdqvyOxrsjboqrwduqJwrMgdy7gdS4qORUXnorxzQeGEziuccwrnrMI5o3BO K5xTSueE0jmu6BpTdI3Ku0bw2yR2hWXOQZkzJHX2Szp7QWdA3OEXd/QIO7qF Do/A4RK0OzHi3JVGm63Baq43m3itBmDSAYOmUq+q0CpKW5pL1JIilahQIciX Y3lSLEeEZWFYRgOWDkBKOcbOxwALg2MG6aefjv3R70fEn4a36fjw+Cwhfhk+ nD0kn8XIwOHpYYeneXy6HiT7KXL7abIDxHYAivMMtSsqznU2znOW1n2e5j1P 77nAeB+QGBgQJhGQhKMBGcUDAgCdPYkPIclTzJSphJRpkDqdmD6TlDGblDnL zp7j5Mxz8uaT8xdSuAuphYtpxUvpJUuZpcuZl1ayy1dyKldzq9bya9bya69w eVcK69eLGtZLGtdLmtZLL6+XYRvl/I0KwUalcKNStFEl3qiWbFRLN2pkm7XN m7XyTZ5is065Wa/arFdv4uejtmxCm7SbfN0GVKDfAIZ1gWFdaIReEZrWRNDW VTHUvIJrWSZcElsXJVDbghhqn5fY56DitllJ24ykfUbaPi11QKckjgmJY1zi GJM6RqWOEYljWOIIix1DYscgvk3h6Bc5ekXtQWG7X9jeA9q8/DYPv82F2bua 7J2NxBmz9RZbndnCM5lqjQZg0AGdplKrKtMoStTNxUpJoUJU0CzIk2G5Eixb iGViWHojlsbDUgDglGBJcG3CwKMR/Ue/DRF/Poh0fDh4EOLdOLyeBcRIIw9W IOqhipxfStRDT9TDFKkHfpYpyXaK3HY6th3EOgAFDwiAAaHCgLhhQM5FAhKZ QBjBaBiQ+PcBiU0MU+ASBgAYkDjYEPYYnQMdB8njzJQJZupkQtpkYsZUUuY0 K3uanTPDyZ3l5M8mF8ylFM6lFs2nlSykly5kXFrMLF/KrljKqVrOrV7Jq13J 561y61YL61eLGlaLG1dLmlZLL6+WYqtl/NVywVqFcK1CtFYpXquSrFVJ12pk a7XNa7XyNZ5iDT+bXbUGbVCvNWpwm1pWgXYV06406VYw3TKmX+brl/j6RYEB usA3QucFpjnCWUHrDK55GtcyJbBM4lonhFDbuMA2JrCNCmwjQtuw0BYW2IaE 9kGhfUBgD/HtfXx7L376q82P2XxNNm+TtbvJ6gbWrkZLZz1xkQ6U12qrNVmq DaZqvQHodKBFU65RlaoVJcrmIrmE2ywqkApgLuCAkSnAMi5jaY1YKg9LJh7y y4JDHVybUPFonP2j34CIPyswHR+vWd6lA59AAL5ywXdNPyOOtkSWLceITY/j xKbHCfzaFlMkIKfeB8R+Gk4gsYcTSCQgUTAgcd1nYUBoMCC+jwPCHMAf+ZQ4 RAwhYSprGArYI3TOCD15lJE8Gp8yFp82zkwfT8ycSMyaTMqZZOVOsfOnOQXT ydyZlKKZ1OLZtNK59LK5zPL5rIqF7KqFnOrF3JrFvNrFfN4it26xsH6xqGGx qHGxuGmp5PJSCbZUyl8qEyyVC5fKRUsV4qVKyVKldLlKtoxfjdu8XCNfqlEs 1SqXeMoloFqsUy/WqxdwNfMNmrnGFuhsY8tMgxY63aiDTjXqJwknGg0TTYbx JuNYI9Q02mgaaTKNNLYOQ5vM4SbzUJN5sMk80GgONZn7m8y9TeZgoznQaPY3 mH1wlmgwd9e3uutbXfWtTh5xQLwWarTVGCzVenOVzgS0BtCiA2pNmUpVolQU y5u5zRKuVJQnEeDrEQExYDRhqfVYCg/jVGNsAJKKsQQAGKzDXdBTf/RbD/Gn 5+M1S6Qb+Bfg/daH5FP1iCxb9IcrF9zWU0cDQvowIJQuAANCPQwIsQfiu0An AsLoxR/BcLiKCcUmDsQmDYCkQSprkMoeimOHaZwwPXk4PmU4PnWEmT6akDGa kDWWmD2elDvOypvgFExwuJPJhVMpxVMpJdPpZTPpl2Yyy2ezKmazKmdzq2Zz q2fza2YLeLMFdXPcurnC+rnChrmixrniprniy3Ml2Fwpf65MMF8mnC8TzeP3 EZLMV0jnKmVzVdDmOSCfrZHP1ipmahXTUJ5yiqecrFNN8lQTPNU4Tw0dq9WM 8TSjvJaROtxhnhYa5umGoHX6QcKBOkMIWm/orzP01hmCdcZAndHPM/p4xh6e 0cszeGoNbpiIGoOzBr5G7iegswGdpUrbWtFiAi1GoNEDta5E2VKsUBXJFYWy 5gKpJF8syhUJYC6yiFykNWApdRinBuNU4WdlJMIZIx9jwFwwDqOBNjQQ/x5+ vmZ5n45355cebnp89olNDy3xMGs9IbF+iWl9P4HgDSECQnachgGJ/TAgkU1U mg+/JTIxhFyMD8Ywe0kJfSChj5zYT0mChqisEJU9EMeBDtJThhipQ4z0cHzG MDNzmJk9kpQzysobZeWPcbhjnMJxTvFEcslEaulkWtlk+qXJzPLJzIrJ7MrJ nKrJ3OqpvJqp/NqpfN5Uft1UQf0Ut2GK2zhV2DRVdHm6CJsu5k/j9zAUTpeK pspEU+XiqXLJJJBMVkqhE5Wy8SrcsarmUWi1fKRaPgytUoSrFENVyqFq5WC1 arBKNVCtClWrof3Vmr4qTV91Sy9hsFobqNb6q7W+am1PtdZbo+2u1nqqta5q bVeV1llF3LyoAtpiL9dYyzVmoDYBlQGo9ECpK1K0FMo1hc2qApkiX9KcL5bk CUXZAkE2hmUQuUitw5Jr8QGDVYElAQAHjPgCjJ6FxXHwYsQAcA6dRo749/JR Oj7oxruz098tWz7a9IgcrsXP9yAeLhlpiPEwIDHmk78SEAoekChqN36LQjwg +BASzfBFx/tBvD+GGSAlBEiJQXJib2xSbyyrj8Lqo7L74zj9cckhWuoAPW2A kTEYnzkUnz2UkBNOzB1Oyh9mFYywC0c5RaPJxaMpJaOppaNpZaPpl0Yzyscy KsYyK8eyq8ayq8dyasZya8fyeGN5dWP59eMFDeMFjePcpvFCAAqx8SJsrJg/ ViKAjgLhaKlopEw0UioaLhUPl4nDZZKhctzBcukAtEwWKpf14zb3lTf3lsuh wQp5oFwB9ZcrfYQ95Sqot1zVXaHyVKjd5aqucpWznLhZ4qEqWymsltIMFCag MAC5Hsi1hc0tXJm6QKrKlyjzxPJcUXOOUJItEGVhgswmLJ3IRQqRC3YlxirH T+JiwuEiD6NlYdQUDDDxaFz46aczKBqI/xBH1yyfSAf/w3ocXbaoiBNN1Sfw q2uPNuQXAoI3hAgIGQakEw8IBAYE3wbxnKV5ztG7Ab37AsMbHd8Tzey5yPTF JPhIiX4yNClAYQWo7CCV3UtN7o1L6aOl9dPS++mZofisAWbOQELuYGL+UFLB EJs7xCkc4hQNcYqHUkqGUkrDqWXhtEvhjPJwRkU4szKcVRXOqg5n14Rzaodz ecO5dcN59cP5AOQ3hPMbwwVNYW7TEPfyEMCGirDBIj50oIgfKhKEigX9xcK+ EmFfsbC3WBTEFQeKxP5iqMRXIukpkUK9xdLuYhnUU9wMdRc3u0rk0K7InZkP bbYXN1uLmy1FzWbQbMJ/DjI9V6otkGoKJGogVuWJFDlCeY6gOUsgzeRLMjFR epMgrRFL+ygXZfgORjwA9FwsLhujpmIgEQMULBqAs+gMDcR/GiIdeC4+0Y2P zvc4uumhiCxeiJsQqt4GJNKQyCrG8EFAIvf6OBoQAE7jAek83EqN6wJxrrM0 1zm6+zzDHc3wRMd7opndFxO80JjEHnIS1BfL8lHYfmpygJoSoKYGaem99Ixe RlYfI7ufmdufkNefkN/PKuhncfs5hf2cohCnOJRcEkouDaWUhVIvhdLKCStC 6ZWhjKpQRnUosyaUBUA2L5RdF8qpC+XW9+c29IOG/rzGvnxoU29+U7CgKci9 HCi47C/A/FzMx8V6uHyot0DQDeUKPFyhu0Do5opcXFEXtEDsLCAeQcUlxL+Q 2LkSG1di5YrNQNwKxEYgNgCxLl+kzQMgR6TOESqzBYosvhxgskxMmn5ZktYk SmsUpjYIkusxDo/YviBykVSGJZZgeC4AoMFcZGIUWIwkDNCwCzHYWWIL9LM/ +j2F+Evw7jjL29v+/CwdP9/0OLzC5V1Djn/ckMOz1k/8SkBgOqCRrVSKA1A7 cOM6Ac2JS+86z+i6EO+CRjPd0QlQDymxm5TUTWZ5Y9leCqeHkuKjpvri0v1x GQFaZoCeFWBkB5g5gYTcQGJeICk/mFQQZHGD7MIguyjIKQ5ySoKc0mByWTDl UjC1PJhaEUyrDKYDkF4dzIDWBDJrA1m1AcALZNf5s+t8OdD6npx6by60oTu3 wZPbCHXnNLpymly5TV25l505l525xHNyc4nnXeZFvua35QragMAOBDYgsAKB GfBbAd8I+IZcvi6Hr83GNFmYOhNTZgCQcVme0SRLb5SmNUhAgyi1XphcJ8Bb UYuxazB2FZZETBcwF8wifMMTFoOahVHSsdg0ohh07DwJg+u+0z/9dBytTRD/ TWKww8GDSMenuvHRpofk3cMlj/1iQyL3CGr58CjM+yUMfgY7yfouIIB4PUOI 3zA5zgFoDkDvwGV0gngnLrMrOqHrYqIrBprkJrE8ZI4nNrmbkuqlpnmp6d64 DC8t08vI8sZn9zBzepi5PQl5PYn5PYkFPUncHlZhD6uoh13cwykhLO3hlPUk 42dU9qRU9KRWetOgVV5Q3Z1e3Z1R48ms8WTUuDNqXZlQXlcmz5nFc2YC8LEN baDBTmgDjVZCC2g0ZzRBWzMbjZmNhsxGXUajNqNRk9GgTm9QpjUoUhuaU+tl KfC710mSeeLkWiGnVgBq+OxqjAVbUYEllmMJZRgTThcwF1wM5iIOFiMDo6Rh 5BTi/E86do58WIwTaMxA/FEQg8e71cov1OPovYAi17lI3l4l9/OGHA3Ih4dx I5ftk6Dmk2TzKbIFxFpOxVpOU6zQM1TbYT3gah2Ac289H7l/DrMDMDtBQidI dIIkJ2B1AbYrNtkVm+KipLqoaS5quisuw0XLdNGzXIxsdzw0x83MdTPz3An5 7oQCdyLXnVToTipys4rdbABYpW52qYtd5uJccnHKXaC8K7miK6XCiX+oAUgl TCOEX4DqNlBtx62xgRorbq0ltdZM2JrKM0HTeMY0niGVp0/l6VJ52lSeJoWn TuEpU2oVybXNybWy5Fopp0bCqRbj51pUCZIq+TAUcK4AlzBmGRYPW1GMMYow Ohej5WP4OXIAwAED5iKGQxSDgZ0lY1ExGPwpRYqBxgzEH0lk8CDqAX6jHu8C 8ksNaT72fjPkXUBa3p8HAtNBMpwkGU+SoSYQazoZazpFaYWeoZpx4yxRUJr1 LJRug55j2KEXAMAP4x7x4r9+L69PUtZGaAeXbIRWKKfcwik341a0cipMhEZO pYFdaeBU6jmVOk6llg2tauFUaThVak6Vil2lYFfK2ZUydqWUVSlmVYgSK4SJ 5YKEcj4TVhAOFaUYowQDxRi9EG9FHGxFHkbNwSgAxAJATsVIHCyGTaxKGFhU 7GExTqJiIP53eJeO3549Prra5d3lcuIjj7qWHhlCFEcunWs5Dn9XkrQnSLoT ZFwQqz+JazhJMZyiGE9ToaYzcaaouNYoGtQcRTefo1vOMSznofHWC1CmLRqa YIdeTLDHQBNtpCQbiUXItpM4dlKynZxij021x6bZKel2aoadmmmnZtnjsu20 HDst104DgJ5nZ+TbGAW2eK6NybWCQmtCoS0BvhZZCM2J0OLWxGITbokxqcSQ iKtPLNVBk0q1iaUtiaWaxDKoOqFMlVCmTChT4F6SJ5TJmGVSZpmYWSZilgrj SwXxJXxYCQasRBEGv3scDEUBRs3HQC7RiiwMbwUAJLhkTMai2Vg0zEUCBuLx YpyJwU6/LQZamCD+53i33fF76/ErDZEce78ZciQgkbsGkaCaE2QNILeciIVq T1KgupNU3Smq/nSc/kyc4QzNEEUzRtGhprMM0zlGK2586/l48wXC6HjLW824 TGhrdEJrdGJrdFJrNKv1Irs1htMak9xKSmklp7aS01pj01spGa2UzFYKvs3Y Ss02xeWY4nJNtFwTyDPR8lppeSZ6vhHKyDfgFugZBTpCLZ3bAmVwNQyums5V 0QtVjEIlo1DBKJRD6YXN9CIZvUhKL5JAaUUiWpGAVsinFWKRREQqAScKSh4+ UVBysNgsjJyBgXSMRJyvdZGDRbOwC5FcMPEZ4wwFOx2DnSKuDzqGxgzE/zJH D9F+WI/fEZBfacjbgOCX8CuOkaDK42QlIKuOx0LVJyjqkxTNSSq05VRcy+k4 7Wma9gxNB42iQ/VnDzUcyjBCzzGM5996ISLdcIGhvxCvu8DUXUjQXUjUXUjS XWDpotm6aI4uOlkXnaK7mKqDn9OYNB0pXUvOwI3N1IFMHSVLT83SUbO01Gxo C6GGmqOOy1FTc1TUHCU1V0Eop+Y2U3NluHlSap6Ekiem5okIhdR8ASWfT4n0 IRfD+5CNS4aVyMRI0AwM/+6p2EVitYWfr5WInU84nC7wXNCwU1TsVAx2EhUD 8Sfi6GmlkXr8Y+PHr2yGSD7DuyE7RoI2HyM3A7L8WCxUcZyiOEFRnqAqT1JV 0FPQOPXpQzVnDm05Q2uJwtW+VQdfz37alrN0zVmG6my86ixTdTZBdTZRdS5J dY6lOs9W4VslHFV0sjI6RXkxRXUxVQ1S1RfTNDFp6pg0FQmariTjKsgZcigp o5mcISNnSMkZElImVEzKFJEzheRMAQmaxSdlYe+MySSEfUjHYtJwL6Zi0SmE yVhko+Y8lAjFWQZxwTsdO0XDTsZhJynYSaIYJ1AxEH9GPrqK9p8cP37WkMit P0hQyTGyBJClx2KhMuhxKKUZegJXDj2JqzhJjag8dajqNDRO9bYq6jPvVUGj qB8ap4yiyaPozVEMWVS8LIopi0qQ4UdtkmTQsyzZOVbzebYcsOXn2YoLHDk0 mtMcnSwjlEYnS6KTxdHJougUqDA6RRCdwic8TMGFTwr7wMEusHHPs7DzSdg5 4iDR2cgBIzoWRcPP2sIlWnEiFjtJxk7EYMdhLlAxEH9qfn4B/qfGj38kIERD 4D9OEnxGEkIB/ir6jBxRDD2GiyflWCxUevxQWcQTh1VpPnlYlUNPfdpm6Ol3 UqWn4ySnaaLTdCF+AglDeCpedDpedIYpjmJKQIIkKkEalSghFJ9NFJ1LFJ5L Ep5NEpxL4p+DH3zCs79kIm7UOxMImVjksDJ+ggoNOx2HL0DwlQkFPzn8eCwG yNgxEnYshpAoxmeoGIj/H/zS7Tv+6YC8/ac++/i6GEI8KYJ3Yfnsw7C8rwpZ cvx9VQ49ESvBJeMe/1gx9AQ0VnSCIjhB5ePPkYkjlgY0/kmaANAFJ2FP6IJT DD70NAM7Q3j6nfQPPPUr0rB3J8eepOLjBCASERHvA9EKEHNYjMOfJCoG4v8f v3LrsCMNAR/6m9347B/dMPlEVQ499oGCX5Z/LIaPv8LPL/wUQ2Nx8QGAinuC gnvyZ0b+d7igeOfxj4wsMSJGQkEifNeHj5r5YS5QMRD/n/lkPX7ekJ9l5HeM HP9d8eUS9hmZMBYfCY5RDhsS6QBeBvJ7j0XWFEc9Gopf//t+9BePHOlGAwbi r8YnFy+/fxT5H+kGfCVhkXoAIiDHjvpRJWLehyLylwK/c7766AfydrpAxUD8 Rfn57Qd/T0M+9aH7w7rxLl+ktw0hPDpO/Kt/5nf/BpQLBOIov7J4+R0Zec8/ +hv839iN3yrbP/yHQdsXCMTv4Zf2Tn/rk/vxWSKfTMo//UH+lX/hfyJZKBcI xD/H71y//KO7HL9eld8XhH/+u/+ePxXau0Ag/nWOPL3lFw/B/Fs+vP/c5/2f /tZH24VagUD8h/gwIL/0Of2j0vGPTjuoFQjEf5tIQz5cQfxjH+H/Tjd+YQGC WoFA/PG8zcjRkvyXu/HZRxf/ookCgfjTcbQkv3Cw4188sPIBKBEIxF+EI235 oDCfCgICgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQ CAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQC gUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAg EAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgE AoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFA IBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAI BAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKB QCD+OvwfkoPVJg== "], {{0, 360}, {360, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> Automatic, Interleaving -> True], Selectable->False], BaseStyle->"ImageGraphics", ImageSize->{360, 360}, ImageSizeRaw->{360, 360}, PlotRange->{{0, 360}, {0, 360}}]], "Output", CellChangeTimes->{3.578934457886002*^9}] }, Open ]], Cell["\<\ Combining Manipulate and ContourPlot3D, together with Opacity, gives a new \ insight into the shape of this surface\ \>", "Text", CellChangeTimes->{{3.5789322742162046`*^9, 3.5789322947484703`*^9}, { 3.5789324359189157`*^9, 3.578932440316782*^9}, 3.578933856571186*^9}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Manipulate", "[", RowBox[{ RowBox[{"Anaglyph", "[", RowBox[{"ContourPlot3D", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"x", "^", "4"}], "+", RowBox[{"y", "^", "4"}], "+", RowBox[{"z", "^", "4"}], "-", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"x", "^", "2"}], "+", RowBox[{"y", "^", "2"}], "+", RowBox[{"z", "^", "2"}]}], ")"}], "^", "2"}], "+", RowBox[{"3", RowBox[{"(", RowBox[{ RowBox[{"x", "^", "2"}], "+", RowBox[{"y", "^", "2"}], "+", RowBox[{"z", "^", "2"}]}], ")"}]}]}], "\[Equal]", "L"}], ",", RowBox[{"{", RowBox[{"x", ",", " ", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"y", ",", " ", RowBox[{"-", "2"}], ",", " ", "2"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"z", ",", " ", RowBox[{"-", "2"}], ",", " ", "2"}], "}"}], ",", RowBox[{"Mesh", "\[Rule]", "None"}], ",", RowBox[{"ContourStyle", "\[Rule]", RowBox[{"Directive", "[", RowBox[{"Gray", ",", RowBox[{"Opacity", "[", "0.6", "]"}], ",", RowBox[{"Specularity", "[", RowBox[{"White", ",", "30"}], "]"}]}], "]"}]}], ",", RowBox[{"ViewPoint", "\[Rule]", " ", RowBox[{"R", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], RowBox[{"Cos", "[", "\[Phi]", "]"}]}], ",", RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], RowBox[{"Sin", "[", "\[Phi]", "]"}]}], ",", RowBox[{"Sin", "[", "\[Theta]", "]"}]}], "}"}]}]}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"L", ",", "1", ",", "5"}], "}"}], ",", "Delimiter", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Theta]", ",", RowBox[{"Pi", "/", "3"}], ",", "\"\\""}], "}"}], ",", "0", ",", " ", "Pi"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Phi]", ",", RowBox[{"Pi", "/", "3"}], ",", "\"\\""}], "}"}], ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"R", ",", "5", ",", "\"\\""}], "}"}], ",", "5", ",", "10"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.578932322954976*^9, 3.578932416674176*^9}, { 3.57893255787823*^9, 3.5789325583992853`*^9}, 3.5789338565721893`*^9}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`L$$ = 1, $CellContext`R$$ = 5, $CellContext`\[Theta]$$ = Rational[1, 3] Pi, $CellContext`\[Phi]$$ = Rational[1, 3] Pi, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ Hold[$CellContext`L$$], 1, 5}, {{ Hold[$CellContext`\[Theta]$$], Rational[1, 3] Pi, "Polar angle"}, 0, Pi}, {{ Hold[$CellContext`\[Phi]$$], Rational[1, 3] Pi, "Azimuthal angle"}, 0, 2 Pi}, {{ Hold[$CellContext`R$$], 5, "Distance"}, 5, 10}}, Typeset`size$$ = { 360., {183., 187.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = True, $CellContext`L$44909$$ = 0, $CellContext`\[Theta]$44910$$ = 0, $CellContext`\[Phi]$44911$$ = 0, $CellContext`R$44912$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`L$$ = 1, $CellContext`R$$ = 5, $CellContext`\[Theta]$$ = Rational[1, 3] Pi, $CellContext`\[Phi]$$ = Rational[1, 3] Pi}, "ControllerVariables" :> { Hold[$CellContext`L$$, $CellContext`L$44909$$, 0], Hold[$CellContext`\[Theta]$$, $CellContext`\[Theta]$44910$$, 0], Hold[$CellContext`\[Phi]$$, $CellContext`\[Phi]$44911$$, 0], Hold[$CellContext`R$$, $CellContext`R$44912$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Anaglyph`Anaglyph[ ContourPlot3D[$CellContext`x^4 + $CellContext`y^4 + $CellContext`z^4 - \ ($CellContext`x^2 + $CellContext`y^2 + $CellContext`z^2)^2 + 3 ($CellContext`x^2 + $CellContext`y^2 + $CellContext`z^2) == \ $CellContext`L$$, {$CellContext`x, -2, 2}, {$CellContext`y, -2, 2}, {$CellContext`z, -2, 2}, Mesh -> None, ContourStyle -> Directive[Gray, Opacity[0.6], Specularity[White, 30]], ViewPoint -> $CellContext`R$$ { Cos[$CellContext`\[Theta]$$] Cos[$CellContext`\[Phi]$$], Cos[$CellContext`\[Theta]$$] Sin[$CellContext`\[Phi]$$], Sin[$CellContext`\[Theta]$$]}]], "Specifications" :> {{$CellContext`L$$, 1, 5}, Delimiter, {{$CellContext`\[Theta]$$, Rational[1, 3] Pi, "Polar angle"}, 0, Pi}, {{$CellContext`\[Phi]$$, Rational[1, 3] Pi, "Azimuthal angle"}, 0, 2 Pi}, {{$CellContext`R$$, 5, "Distance"}, 5, 10}}, "Options" :> {}, "DefaultOptions" :> {}], ImageSizeCache->{405., {276., 281.}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{3.5789345683491592`*^9}] }, Open ]], Cell["\<\ The Spherical Harmonics are very difficult to picture without a 3D object to \ play with\ \>", "Text", CellChangeTimes->{{3.578932475404345*^9, 3.57893249379393*^9}, { 3.57893267513727*^9, 3.578932689039029*^9}, 3.5789338565881357`*^9}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Manipulate", "[", RowBox[{ RowBox[{"Anaglyph", "[", RowBox[{"Quiet", "[", RowBox[{"SphericalPlot3D", "[", RowBox[{ RowBox[{"Abs", "[", RowBox[{"SphericalHarmonicY", "[", RowBox[{"l", ",", "m", ",", "theta", ",", "phi"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"theta", ",", "0", ",", "Pi"}], "}"}], ",", RowBox[{"{", RowBox[{"phi", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"Directive", "[", RowBox[{"LightBlue", ",", RowBox[{"Opacity", "[", "0.8", "]"}], ",", RowBox[{"Specularity", "[", RowBox[{"White", ",", "10"}], "]"}]}], "]"}]}], ",", RowBox[{"ViewPoint", "\[Rule]", " ", RowBox[{"R", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], RowBox[{"Cos", "[", "\[Phi]", "]"}]}], ",", RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], RowBox[{"Sin", "[", "\[Phi]", "]"}]}], ",", RowBox[{"Sin", "[", "\[Theta]", "]"}]}], "}"}]}]}], ",", RowBox[{"Mesh", "\[Rule]", "None"}], ",", RowBox[{"PlotPoints", "\[Rule]", "30"}], ",", RowBox[{"Boxed", "\[Rule]", " ", "False"}], ",", RowBox[{"Axes", "\[Rule]", " ", "False"}]}], "]"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"l", ",", "0", ",", "\"\\""}], "}"}], ",", "0", ",", "5", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"m", ",", "0", ",", "\"\\""}], "}"}], ",", RowBox[{"-", "l"}], ",", "l", ",", "1"}], "}"}], ",", "Delimiter", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Theta]", ",", RowBox[{"Pi", "/", "3"}], ",", "\"\\""}], "}"}], ",", "0", ",", " ", "Pi"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Phi]", ",", RowBox[{"Pi", "/", "3"}], ",", "\"\\""}], "}"}], ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"R", ",", "5", ",", "\"\\""}], "}"}], ",", "5", ",", "10"}], "}"}], ",", RowBox[{"SaveDefinitions", "\[Rule]", " ", "True"}]}], "]"}]], "Input", CellChangeTimes->{{3.475518745369318*^9, 3.47551875539787*^9}, { 3.475518850758829*^9, 3.475518906947134*^9}, {3.4755189396591043`*^9, 3.475518940090143*^9}, {3.475519010443321*^9, 3.475519075990765*^9}, { 3.475519248666697*^9, 3.475519283280333*^9}, {3.475519330522468*^9, 3.475519331663355*^9}, {3.578932572493971*^9, 3.578932630522345*^9}, 3.5789338565891247`*^9}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`l$$ = 4, $CellContext`m$$ = -1., $CellContext`R$$ = 5, $CellContext`\[Theta]$$ = 0.4398229715025711, $CellContext`\[Phi]$$ = Rational[1, 3] Pi, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`l$$], 0, "Polar quantum number l"}, 0, 5, 1}, {{ Hold[$CellContext`m$$], 0, "Azimuthal quantum number m"}, Dynamic[-$CellContext`l$$], Dynamic[$CellContext`l$$], 1}, {{ Hold[$CellContext`\[Theta]$$], Rational[1, 3] Pi, "Polar angle"}, 0, Pi}, {{ Hold[$CellContext`\[Phi]$$], Rational[1, 3] Pi, "Azimuthal angle"}, 0, 2 Pi}, {{ Hold[$CellContext`R$$], 5, "Distance"}, 5, 10}}, Typeset`size$$ = { 360., {178., 182.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`l$45134$$ = 0, $CellContext`m$45135$$ = 0, $CellContext`\[Theta]$45136$$ = 0, $CellContext`\[Phi]$45137$$ = 0, $CellContext`R$45138$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`l$$ = 0, $CellContext`m$$ = 0, $CellContext`R$$ = 5, $CellContext`\[Theta]$$ = Rational[1, 3] Pi, $CellContext`\[Phi]$$ = Rational[1, 3] Pi}, "ControllerVariables" :> { Hold[$CellContext`l$$, $CellContext`l$45134$$, 0], Hold[$CellContext`m$$, $CellContext`m$45135$$, 0], Hold[$CellContext`\[Theta]$$, $CellContext`\[Theta]$45136$$, 0], Hold[$CellContext`\[Phi]$$, $CellContext`\[Phi]$45137$$, 0], Hold[$CellContext`R$$, $CellContext`R$45138$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Anaglyph`Anaglyph[ Quiet[ SphericalPlot3D[ Abs[ SphericalHarmonicY[$CellContext`l$$, $CellContext`m$$, \ $CellContext`theta, $CellContext`phi]], {$CellContext`theta, 0, Pi}, {$CellContext`phi, 0, 2 Pi}, PlotStyle -> Directive[LightBlue, Opacity[0.8], Specularity[White, 10]], ViewPoint -> $CellContext`R$$ { Cos[$CellContext`\[Theta]$$] Cos[$CellContext`\[Phi]$$], Cos[$CellContext`\[Theta]$$] Sin[$CellContext`\[Phi]$$], Sin[$CellContext`\[Theta]$$]}, Mesh -> None, PlotPoints -> 30, Boxed -> False, Axes -> False]]], "Specifications" :> {{{$CellContext`l$$, 0, "Polar quantum number l"}, 0, 5, 1}, {{$CellContext`m$$, 0, "Azimuthal quantum number m"}, Dynamic[-$CellContext`l$$], Dynamic[$CellContext`l$$], 1}, Delimiter, {{$CellContext`\[Theta]$$, Rational[1, 3] Pi, "Polar angle"}, 0, Pi}, {{$CellContext`\[Phi]$$, Rational[1, 3] Pi, "Azimuthal angle"}, 0, 2 Pi}, {{$CellContext`R$$, 5, "Distance"}, 5, 10}}, "Options" :> {}, "DefaultOptions" :> {}], ImageSizeCache->{405., {285., 290.}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({Anaglyph`Anaglyph[ Pattern[Anaglyph`Private`graphics, Blank[Graphics3D]], OptionsPattern[]] := Block[{Anaglyph`Private`\[Alpha], Anaglyph`Private`isize, Anaglyph`Private`vp, Anaglyph`Private`vv, Anaglyph`Private`axis, Anaglyph`Private`gl, Anaglyph`Private`gr, Anaglyph`Private`il, Anaglyph`Private`ir, Anaglyph`Private`ils, Anaglyph`Private`finalimage, Anaglyph`Private`method}, Anaglyph`Private`\[Alpha] = OptionValue[Anaglyph`Private`ViewAngleDifference]; Anaglyph`Private`method = OptionValue[Method]; Anaglyph`Private`isize = OptionValue[ImageSize]; Anaglyph`Private`vp = ReplaceAll[ViewPoint, Options[Anaglyph`Private`graphics]]; If[Head[Anaglyph`Private`vp] == Symbol, Anaglyph`Private`vp = ReplaceAll[ViewPoint, Options[Graphics3D, ViewPoint]]]; Anaglyph`Private`vv = ReplaceAll[ViewVertical, Options[Anaglyph`Private`graphics]]; If[Head[Anaglyph`Private`vv] == Symbol, Anaglyph`Private`vv = ReplaceAll[ViewVertical, Options[Graphics3D, ViewVertical]]]; Anaglyph`Private`axis = Cross[Anaglyph`Private`vp, Cross[Anaglyph`Private`vv, Anaglyph`Private`vp]]; Anaglyph`Private`gl = Show[Anaglyph`Private`graphics, ViewPoint -> Dot[ RotationMatrix[-Anaglyph`Private`\[Alpha], Anaglyph`Private`axis], Anaglyph`Private`vp], ViewVertical -> Anaglyph`Private`axis, SphericalRegion -> True, ImageSize -> Anaglyph`Private`isize]; Anaglyph`Private`il = Image[Anaglyph`Private`gl]; Anaglyph`Private`gr = Show[Anaglyph`Private`graphics, ViewPoint -> Dot[ RotationMatrix[ Anaglyph`Private`\[Alpha], Anaglyph`Private`axis], Anaglyph`Private`vp], ViewVertical -> Anaglyph`Private`axis, SphericalRegion -> True, ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Anaglyph`Private`ir = Image[Anaglyph`Private`gr]; Which[Anaglyph`Private`method == "FullColor", Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ First[ ColorSeparate[Anaglyph`Private`il]]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null, Anaglyph`Private`method == "HalfColor", Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ ColorConvert[Anaglyph`Private`il, "Grayscale"]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null, Or[Anaglyph`Private`method == "Optimized", True], Anaglyph`Private`ils = ColorSeparate[Anaglyph`Private`il]; Anaglyph`Private`finalimage = Image[ ColorCombine[ Join[{ ImageAdjust[ ImageAdd[ ImageMultiply[ Part[Anaglyph`Private`ils, 2], 0.7], ImageMultiply[ Part[Anaglyph`Private`ils, 3], 0.3]], {0, 0, 1.5}]}, Rest[ ColorSeparate[Anaglyph`Private`ir]]]], ImageSize -> ImageDimensions[Anaglyph`Private`il]]; Null]; Return[Anaglyph`Private`finalimage]; Null], Options[Anaglyph`Anaglyph] = { Anaglyph`Private`ViewAngleDifference -> 2 Degree, Method -> "Optimized", ImageSize -> Automatic}, TagSet[Anaglyph`Anaglyph, MessageName[Anaglyph`Anaglyph, "usage"], "Anaglyph generates an 3D image from a Graphics3D object that is \ suitable for viewing with 3D glasses."]}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{3.578934577545506*^9}] }, Open ]], Cell["Visualize chemical structures", "Text", CellChangeTimes->{{3.5789338839205503`*^9, 3.578933891099324*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Manipulate", "[", RowBox[{ RowBox[{"Anaglyph", "[", RowBox[{"Show", "[", RowBox[{ RowBox[{"ChemicalData", "[", RowBox[{"\"\\"", ",", "\"\\""}], "]"}], ",", RowBox[{"ViewPoint", "\[Rule]", " ", RowBox[{"R", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], RowBox[{"Cos", "[", "\[Phi]", "]"}]}], ",", RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], RowBox[{"Sin", "[", "\[Phi]", "]"}]}], ",", RowBox[{"Sin", "[", "\[Theta]", "]"}]}], "}"}]}]}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Theta]", ",", RowBox[{"Pi", "/", "3"}], ",", "\"\\""}], "}"}], ",", "0", ",", " ", "Pi"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Phi]", ",", RowBox[{"Pi", "/", "3"}], ",", "\"\\""}], "}"}], ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"R", ",", "5", ",", "\"\\""}], "}"}], ",", "5", ",", "10"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.578933841552446*^9, 3.578933856606846*^9}}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`R$$ = 5, $CellContext`\[Theta]$$ = Rational[1, 3] Pi, $CellContext`\[Phi]$$ = Rational[1, 3] Pi, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`\[Theta]$$], Rational[1, 3] Pi, "Polar angle"}, 0, Pi}, {{ Hold[$CellContext`\[Phi]$$], Rational[1, 3] Pi, "Azimuthal angle"}, 0, 2 Pi}, {{ Hold[$CellContext`R$$], 5, "Distance"}, 5, 10}}, Typeset`size$$ = { 360., {178., 182.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = True, $CellContext`\[Theta]$191044$$ = 0, $CellContext`\[Phi]$191045$$ = 0, $CellContext`R$191046$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`R$$ = 5, $CellContext`\[Theta]$$ = Rational[1, 3] Pi, $CellContext`\[Phi]$$ = Rational[1, 3] Pi}, "ControllerVariables" :> { Hold[$CellContext`\[Theta]$$, $CellContext`\[Theta]$191044$$, 0], Hold[$CellContext`\[Phi]$$, $CellContext`\[Phi]$191045$$, 0], Hold[$CellContext`R$$, $CellContext`R$191046$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Anaglyph`Anaglyph[ Show[ ChemicalData["Caffeine", "MoleculePlot"], ViewPoint -> $CellContext`R$$ { Cos[$CellContext`\[Theta]$$] Cos[$CellContext`\[Phi]$$], Cos[$CellContext`\[Theta]$$] Sin[$CellContext`\[Phi]$$], Sin[$CellContext`\[Theta]$$]}]], "Specifications" :> {{{$CellContext`\[Theta]$$, Rational[1, 3] Pi, "Polar angle"}, 0, Pi}, {{$CellContext`\[Phi]$$, Rational[1, 3] Pi, "Azimuthal angle"}, 0, 2 Pi}, {{$CellContext`R$$, 5, "Distance"}, 5, 10}}, "Options" :> {}, "DefaultOptions" :> {}], ImageSizeCache->{405., {250., 255.}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{3.5789346440762*^9}] }, Open ]] }, Open ]] }, Open ]] }, WindowSize->{1280, 694}, WindowMargins->{{0, Automatic}, {Automatic, 0}}, FrontEndVersion->"9.0 for Mac OS X x86 (32-bit, 64-bit Kernel) (January 25, \ 2013)", StyleDefinitions->"Default.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[579, 22, 102, 1, 92, "Title"], Cell[684, 25, 116, 1, 51, "Subtitle"], Cell[803, 28, 854, 19, 49, "Text"], Cell[1660, 49, 140, 2, 28, "Input"], Cell[CellGroupData[{ Cell[1825, 55, 93, 1, 80, "Section"], Cell[1921, 58, 355, 8, 68, "Text"], Cell[CellGroupData[{ Cell[2301, 70, 478, 13, 28, "Input"], Cell[2782, 85, 213506, 3529, 294, "Output"] }, Open ]], Cell[216303, 3617, 106, 1, 30, "Text"], Cell[CellGroupData[{ Cell[216434, 3622, 446, 13, 28, "Input"], Cell[216883, 3637, 106215, 1746, 359, "Output"] }, Open ]], Cell[323113, 5386, 309, 6, 30, "Text"], Cell[CellGroupData[{ Cell[323447, 5396, 1935, 53, 63, "Input"], Cell[325385, 5451, 6902, 134, 522, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[332336, 5591, 153, 2, 80, "Section"], Cell[332492, 5595, 182, 4, 30, "Text"], Cell[CellGroupData[{ Cell[332699, 5603, 94, 1, 44, "Subsection"], Cell[332796, 5606, 1519, 28, 258, "Text"], Cell[CellGroupData[{ Cell[334340, 5638, 851, 24, 46, "Input"], Cell[335194, 5664, 5877, 117, 446, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[341120, 5787, 158, 2, 44, "Subsection"], Cell[341281, 5791, 202, 4, 30, "Text"], Cell[CellGroupData[{ Cell[341508, 5799, 907, 24, 46, "Input"], Cell[342418, 5825, 5915, 119, 450, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[348382, 5950, 197, 3, 44, "Subsection"], Cell[348582, 5955, 299, 6, 30, "Text"], Cell[CellGroupData[{ Cell[348906, 5965, 500, 14, 28, "Input"], Cell[349409, 5981, 34849, 577, 198, "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[384319, 6565, 126, 2, 80, "Section"], Cell[384448, 6569, 125, 2, 30, "Text"], Cell[CellGroupData[{ Cell[384598, 6575, 922, 22, 46, "Input"], Cell[385523, 6599, 12743, 207, 500, "Output"] }, Open ]], Cell[398281, 6809, 197, 5, 30, "Text"], Cell[CellGroupData[{ Cell[398503, 6818, 1351, 35, 63, "Input"], Cell[399857, 6855, 3907, 69, 450, "Output"] }, Open ]], Cell[403779, 6927, 161, 4, 30, "Text"], Cell[CellGroupData[{ Cell[403965, 6935, 2503, 69, 81, "Input"], Cell[406471, 7006, 73318, 1207, 375, "Output"] }, Open ]], Cell[479804, 8216, 283, 5, 30, "Text"], Cell[CellGroupData[{ Cell[480112, 8225, 2603, 72, 63, "Input"], Cell[482718, 8299, 3180, 60, 574, "Output"] }, Open ]], Cell[485913, 8362, 250, 5, 30, "Text"], Cell[CellGroupData[{ Cell[486188, 8371, 2878, 72, 114, "Input"], Cell[489069, 8445, 7690, 151, 626, "Output"] }, Open ]], Cell[496774, 8599, 113, 1, 30, "Text"], Cell[CellGroupData[{ Cell[496912, 8604, 1336, 39, 46, "Input"], Cell[498251, 8645, 2583, 50, 522, "Output"] }, Open ]] }, Open ]] }, Open ]] } ] *) (* End of internal cache information *)