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AAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDGwXqMHpG7DUgAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGBgu0ANTt+ApQYMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAA9sFanD6Biw1YIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhjYLlCD0zdgqQEDDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAwHaBGpy+AUsNGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQa2C9Tg9A1YasAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwsF2gBqdvwFIDBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggIHtAjU4fQOWGjDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMbBeowekbsNSAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYGC7QA1O34ClBgwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAAD2wVqcPoGLDVggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGNguUIPTN2CpAQMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMDAdoEanL4BSw0YYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBrYL1OD0DVhqwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDCwXaAGp2/AUgMGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAge0CNTh9A5YaMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwxsF6jB6Ruw1IABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhgYLtADU7fgKUGDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAPbBWpw+gYsNWCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYY2C5Qg9M3YKkBAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwMB2gRqcvgFLDRhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGtgvU4PQNWGrAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMLBdoAanb8BSAwYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYICB7QI1OH0DlhowwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDGwXqMHpG7DUgAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGBgu0ANTt+ApQYMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAA9sFanD6Biw1YIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhjYLlCD0zdgqQEDDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAwHaBGpy+AUsNGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQa2C9Tg9A1YasAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwsF2gBqdvwFIDBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggIHtAjU4fQOWGjDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMbBeowekbsNSAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYGC7QA1O34ClBgwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAAD2wVqcPoGLDVggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGNguUIPTN2CpAQMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMDAdoEanL4BSw0YYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBrYL1OD0DVhqwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDCwXaAGp2/AUgMGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAge0CNTh9A5YaMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwxsF6jB6Ruw1IABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhgYLtADU7fgKUGDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAPbBWpw+gYsNWCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYY2C5Qg9M3YKkBAwwwwAADDDDAAAMMMPC4DfzWb/7Wv3N0nb1XSw0YYIABBhhggAEGGGCAAQYYuHvSNTh9A5YaMMAAAwwwwAADDDDAAAOPy0CE4Z//pb/yp8d6/6c+8y1HVtw/lmD9/N+lpQYMMMAAAwwwwAADDDDAAAPbE6vB6Ruw1IABBhhggAEGGGCAAQYYeLMN5LC8huY//blf+MT3fu8PbLes8ZguWNelfv7v2lIDBhhggAEGGGCAAQYYYICB7ZHX4PQNWGrAAAMMMMAAAwwwwAADDLzZXeY5LK+B+Sfee+9nx/qu9z7+63V9/N13Psgrfy8e14XqwvTzf/+WGjDAAAMMMMAAAwwwwAADDGyPtAanb8BSAwYYYIABBhhggAEGGGDgOga6c8lzB/iswzwC7xqWvxCSv/P2l59fPlufePfbvjLWn/von/3nY8XXz++bgvUI1HWon+/EUgMGGGCAAQYYYIABBhhggIHtkdbg9A1YasAAAwwwwAADDDDAAAMMnB+S751ZHqF17jCvgflLYXkJyfOKwHysj/2Zt/71f/it//7XxmWsWaBew/RVhzpX3lsYYIABBhhggAEGGGCAAQYYYGAToEPgjYABBhhggAEGGGCAAQYYmIXl9azyrqO8O7e86zDvAvMuJM/BeF0jOI/1H/x7/+79iq9ngfqqOz2H6Ua9+zvwXsgAAwwwwAADDDDAAAMMMMDAJkCHwBsBAwwwwAADDDDAAAMMMBAGZkF57taO611YHoF5DctXXeVdOB5f/8fvfuxr+bKG5xGg5yC9Bup7497rqPcjHen1gwb+hvwNMcAAAwwwwAADDDDAAAMMMHD3JGtw+gYsNWCAAQYYYIABBhhggAEGXq+B2nE+C8y7kewvheUpMJ91lM9C87pGaP6D3/kffXWsT/3A93xtrPi6BupjvfWN3zB9rm4PddT7LEhfdeXXMfDCdO9P3p8YYIABBhhggAEGGGCAAQbunlQNTt+ApQYMMMAAAwwwwAADDDDAwIcfoK86zV8IzUtYXs8p3wvIY+XO8u77NUgfK38/r/HacVkD+/y9cVlHvXdBeq1HHlsf1wXp3pe8LzHAAAMMMMAAAwwwwAADDNw9yRqcvgFLDRhggAEGGGCAAQYYYICBDz9Az93mL4Tm77z95a6zvDuXvLvcC8jzbbP7jhUBejwuP35cvjSyPZ25nvefn3MWpK/Od481O0+dVe9XDDDAAAMMMMAAAwwwwAADDNw96hqcvgFLDRhggAEGGGCAAQYYYICB1x+gR3DeheYROkdYns8f71Ydr753jnk3sr0G6l2I3q382GqMsesAACAASURBVDqmfW/M/Esd6emc9Fj1Oep9IkyPEF2Q7v3K+xUDDDDAAAMMMMAAAwwwwMDdo67B6Ruw1IABBhhggAEGGGCAAQYY+HDC81uC8zpyPd/WrdqFXp+j3l7D8G7cew3O8wj3NkSvQXrqSo+fNR7TPjbdt96en7s7S71bOtS9l3kvY4ABBhhggAEGGGCAAQYYuHvja3D6Biw1YIABBhhggAEGGGCAAQY+xOA8dWbX0exdF/heSJ4ftxrnPgvX6/nntSu9drjPutLrWecRdn/fj3729+p499oFn8P4LljPoXp0ro9a1nPUuxWj85n2vsYAAwwwwAADDDDAAAMMMMDA3RtZg9M3YKkBAwwwwAADDDDAAAMMMPB6gvMR7u4F5123dxdar7rPV2Pbu9fovhcBeqwItfPY+FmHer4+HvNCB3kTondnqteO+BqaR0A/Vjzv6hz17sx0Xene27y3McAAAwwwwAADDDDAAAMM3L1xNTh9A5YaMMAAAwwwwAADDDDAAAOvHpxH13mMMh/Bb9e9XbvL61nme2eSd+F716E+e669IH2scb+3vvEb2v3NOuejizyC9Liew/lY8bp5xWvHY+KyPm89Qz2flR6rBuk60r3HeY9jgAEGGGCAAQYYYIABBhi4e2NqcPoGLDVggAEGGGCAAQYYYIABBm4zEN3Ns3Hto+O8O0u8C8H3OsxX9++etwbpszPQa0d4BNjvf/KH79e4Ph77DX/qT+52uOefNbrJIwSvAXkdG9/tKYfpqyA91ixQF6R7b/PexgADDDDAAAMMMMAAAwwwcPfG1eD0DVhqwAADDDDAAAMMMMAAAww8vOv8Pjh/950PYux4Fwx3QXMN11fnnnfh9egQ70LyWbd5t68caNcu9AjSY6x7fr28v9U56XsB/SxEH7WM+9Vx7jVIz4F5XM/B+rjdWHfvcd7jGGCAAQYYYIABBhhggAEG7t6YGpy+AUsNGGCAAQYYYIABBhhggIFXD85rYB7B9I99/KNfOxJW1w7t2qk9G8e+N7p9r7u9C7lr2B1Beg3ruzPYu475uJ7D83jOvQ701Vj3CNDruehdiD5uH7+/WHm0+7g05t37oPdBBhhggAEGGGCAAQYYYICBu0vU4PQNWGrAAAMMMMAAAwwwwAADDPxRUB4rj2kfoXl3znmMKK9BdA2+Zx3fOaCerRpq1/Hn+XXqWehdkN6F6nWfH33v6+H2eP2f+8kf/1pcRtf4aqR7F87H1zl8rx8cqPWLGo0av/vnP/0vout8PCZ3ot9/iKEE6HEWeheix+8yQvQI0selvwPvhQwwwAADDDDAAAMMMMAAAwzcnV6D0zdgqQEDDDDAAAMMMMAAAww8ZQNdYJ47zV8447wE5zksX4XJNaS+NUSfBevdWeJ1HHwd7z4Lu3PQnQPs/JoRpo817pfHuned8fE8s9fJIXod+V73MGo+Xj/XfoTocR56hOR55U70GqTnjvT43Z9t0VIDBhhggAEGGGCAAQYYYICBTQ0E6BB4I2CAAQYYYIABBhhggIGzgvPDoXkKzmOMeB073o1Bz+PK68phdHxdV+1CryPQZ4F6DbRnHeNdsB2rdtLHa459ff4Lv3x/Geejd2ehR4i+Oo89XqcG6bNaRpAe94lO9AjRIySvZ6Hff78E7TVEH8sYd+9F/j1igAEGGGCAAQYYYIABBhi4O70Gp2/AUgMGGGCAAQYYYIABBhh4queZ3xKad+PUc7BbA/G4/3f84Kfbx+VzwOvtsyC9PvesO33VFb8KtGcj37uu8by3COlnz1PHudfXHN+L58ofTsid+vl3UDvvn4foEaSnQD1ujzPTuxA9xrrnc9FXfvI627OlBgwwwAADDDDAAAMMMMAAA9sjq8HpG7DUgAEGGGCAAQYYYIABBh6bgRpyRqd5Ds73QvNVSJ07pvMZ4TXsngXnORzOYXB3HnkdpV6vr4L8OLN8FZZHp/jq+12ons9Ij/PRc/d6fmx+jtoNn3++ek58rVNXs+hEfx6Q51U+BNGF6LUbfRaiZ0t59PvZ1i01YIABBhhggAEGGGCAAQYY2B5ZDU7fgKUGDDDAAAMMMMAAAwww8BgMdIF5Hs8dXcbdmeY1ZI2O5y6gnq29jvFV+F0D4r1u8Bqu15HyXZd415VeQ/TuvPS9c9Nrx3wewd49Rw3sc4hef6bVhw7y6PjoQo+APIfp43qMen9+nzTqPQfoXYg+G/U/lrHv5//dW2rAAAMMMMAAAwwwwAADDNw9uhqcvgFLDRhggAEGGGCAAQYYYOBNNHA0LI/APELzHJzn88xnZ5cfCc9XZ5uvutFnQXrXZd0F0DVQ784xz/vKr9GNd89ff+StPjjv9lAD+27/9TVzAD4L0ett9et8znoO0fPK4XkXokeAHl4iGM9TC8JX/gBGPO7I2HdLDRhggAEGGGCAAQYYYIABBhi4E6BD4I2AAQYYYIABBhhggAEGPszQvAbmy7C86TSvYfWs87nrQO++nt2/C+X3wvWuC712iueVA+98v7e+8RvuVw656znis1B+dl55vn08dx7pnse61+A7j3DPHei1Gz13ts+6z/Nz5rPXc/d9Ds8jXI/L52emv/vOBzVAzyF6XtVWPK6G7d2xAUJ274X+PWSAAQYYYIABBhhggAEGGLgToEPgjYABBhhggAEGGGCAAQZeZ3BeQ/MamHdnmefAPALUWXA+u5x1ps+6z7vvz84oX4XyNezuOtIjII9Vw+kapEend/3Zcnf4bIx7Da5ziB6PqSF6jI7Pq75Gt+dZiF6fL5/xngP02tHfhehdF3od514/mBEfysjj37uwfbYE6d4T/bvIAAMMMMAAAwwwwAADDDBwt1sDRfKHwgADDDDAAAMMMMAAAwwcCM67sew5zJyF5jU4n50hvhqtvgrS82U3Cn4vRK9np68C+y78zyH0N/ypP3m/cpieV/5eHvNez1LPoXQdw96F+Tmgj9vyz57D7dwhX8e5dyF6BOe5LjUsz2F8dy583vvH/sxb/zpC9OhCz4F4XvUDGvlDGvGYHLjvrRyke9/zvscAAwwwwAADDDDAAAMMMMDAnQAdAm8EDDDAAAMMMMAAAwww8JAx7bvd5ulM8xyaR3Caw95uvPoqND9y7vlsZPvsfkfHxHdBfw2y889XO8677vT8de0A78LnLkiPOtYQfQT0eaR6BOnjwwE1RI/Xno1yz6urWxeix88wXu/zX/jll8bhDxf5+n0X+rMQ/S/85C/+zS5Er+F6dldvXwXxdTy8EN17oX8PGWCAAQYYYIABBhhggAEG7gToEHgjYIABBhhggAEGGGCAgVtGtUfHeT17ejaqPYfno9O4Br7dudzd+eM5mO3C7BzKPrRzvZ5F3p3jPdvzrGv8aJAeYXcE3vm2HKR3e6vd6Pn70eVeO9xzB338bLMQfXZGeq1fN4I/wv7c5d+F/12I/n0/+tnfqyPa83SDFwL0Z+YifO9WF6Tn89aH7+Hde6L3RAYYYIABBhhggAEGGGCAAQbujHCHwBsBAwwwwAADDDDAAAMMdMF5Htdeu867ULOOa6+heQ65uzC46+Ceha1dh3Z3vQvk926bjUafjWzPe6p7rt3btfO8rhjrHvfNwfpqjHt3NvpYNUTvRrpHEF73PAvQj4bo+Xc4Lsc+6gcPcs3G18POu3/+0//iSz/5n/wvOfzOH9aYmXvewf7sthqq5+fIlzHO3Zno3gf9W8gAAwwwwAADDDDAAAMMMHDnDHQIvBEwwAADDDDAAAMMMMBANtAF513nbhdiRsd5Dc5zcFsD5Vk4Puu07jq+u3Htsy70vQB9FYx/89vf3Y40r+POuzPEu1C6dp93IfpYtUO9O5c8fyihBvzxHPGa3fj8eq57dzZ67aivQfzqPPQ8nj6u15H1sadh6Xs+9Rf/SQ7AZ8F5mMurC9RXQfz42ih374P+LWSAAQYYYIABBhhggAEGGLgzwh0CbwQMMMAAAwwwwAADDDBQw/NZx/lLoXkJMUdoPtaR0HgVqM+C9b2x6UfOS1/ddzY6vju7vesm737GcfmRtz72/LLWIj8uAvIIz+Oy+37XUZ4/LFC7/Fcd5eN+MV79ISF6rXM3zj6eK37m+nvOwfq47+hArwF6Zy5/WGNcTgP0Mso9O64BulHu3hP9u8gAAwwwwAADDDDAAAMMMHBnhDsE3ggYYIABBhhggAEGGHjaBvJZ5zk8ryPbuzPOZ8H57OzsLig/0pVeu9G7cer1DO56WxeS1+ev+56NZ191lOfzzWdj22ePqR3puTO961bvgvTcVd+F6Pn18yj2WYieA+76e8sherx2/YBDjJKPPefHdwH6eMwI0F/oIC/mIjTP56ePNR6fz1LvgvN6lnqcg64L/fz3IksNGGCAAQYYYIABBhhggIG7y9Xg9A1YasAAAwwwwAADDDDAAAN/3OF5HdeeL+vY7Bqa15C468LOY8O7ce1Hu8+77vAc0ubvrc43r89Tv56F3rULPILo7vLo6sa5d6+3CtFzkJ4D8Ryo147vOtI9OtFzmN6F6Pk58mXu+q+j5eP1u73WD1vE48bz5E7ycVsOzLsx9hGe1wC9C8+j8zy6z8N/nIXufdj7MAMMMMAAAwwwwAADDDDAAAN3AnQIvBEwwAADDDDAAAMMMPC0DOyddd6dNz1CzFl3+ezs71lgXrunV+H3uP7R974e6s5Gu9dzwOs493q9O+981qHejV/vusVnoXc937y7bXUm+pGVa59D8NwZnjvtayf6uH+E6FGn+qGC8Zh6Vv24jNeJ2sZtXRd619GeLQxj3e+nWsmB+3hMfr0uQK9heh3dHqsG6ONDJmN1t9XbLTVggAEGGGCAAQYYYIABBhjYHlkNTt+ApQYMMMAAAwwwwAADDDBwxsj29pzzZlR712nedZ7XoDzOAK/B+urM7DqyfXVm+Xf84KfbsPzoqqF6PQO965zvzjPfC727zvJuLPuq23wVoucO7y5E784kj8fkELxezz9zDtHrhxlyF3qE6PHBhOhCz89RP4DRTSDoPojRfZAi76E7/zyvPLo9/g7yGeh1Cc+9L/u3mQEGGGCAAQYYYIABBhjYnmgNTt+ApQYMMMAAAwwwwAADDDBwxtj2VXA+O+97NrJ9dc75LBBdjWyvQfeR9Rfe/7kXQvHuXPBu1PjqrPRZZ31Xn6OB9ypIX52LvvdcEVDXGuyF6HmEevfhgvH9bgx7Hb8+Vh7dH69Zx9YfnWCQO87r762+Rox/H46/70c/+3vPg/NnZ6nX7vMY3R7d5/EBk7i+F6DrQvee7d9tBhhggAEGGGCAAQYYYGB7xDU4fQOWGjDAAAMMMMAAAwwwwMAfV3h+JDjf6zDf6zyvo97r/bpANIe9tZs8vo6QNneg1xB9FobXseD1zPN6Hnd39vqRDxTMQvBbVzfu/ejj9kL0PFo9d6LnED1Gu+cPEtQQvY7Bj871HKJH2F3HuO99KKPrSO++zkbGfr/nU3/xn0RoHrYjQI/u83FZA/S8cjjeheZxWw7bjXb3Hu7fcQYYYIABBhhggAEGGGBge0Q1OH0DlhowwAADDDDAAAMMMMDAhxmej6Avh+erM86PdprX86y7cLkLPuuo9C7k7brPuwC96zKfXa8B8mzvNQDPofre2ejdOPZbQ/DZuPdbAvSxxn7r2eazEH08Lt8eQfgsRJ+NVo/XqueW1673egb66gMZ9UMP2V7tnI/9DtfRkV4D9LzqOehdN3qs7r7dKPgcyOtS977u33YGGGCAAQYYYIABBhhgYHtDa3D6Biw1YIABBhhggAEGGGCAgQ/LQIR/IzC8D88PBOcjpMznl9egc9bJXcPPWdf5aoR7vf2j7339bO0autdR693zrc7V7jrn83nfXQd5Do/rzz0L0/c60m/pUj9637GPcTk727wL0fMHHvJ940MLuYb1gwW51vE7yb/zehZ6F5yvPqgR18NkPO/4GWO/+Rz0Gp7H+eex9kL0+HupKz9HXjEePj93DtWF6d7f/RvPAAMMMMAAAwwwwAADDGxvWA1O34ClBgwwwAADDDDAAAMMMPC6DUQXbQ3PIzjvwvPZud57Y9z3QtHcld09Vw7ruwC8huHjft0Z5t39Vl3ys7O498ax507zOgr9SJD+qmPdbwnbZyPwc/1qZ3gdAR/Xo67x89WR990Z5Tlkj3C/C8hnZ6x3H3IYzz+e66/+xm989e/87b91f72O3o8gPZ9/PgvRZ0F5HHXwfGrDbMXI+Gdf10A9wvTx9+i93ns9AwwwwAADDDDAAAMMMMDA9gbU4PQNWGrAAAMMMMAAAwwwwAADr9vAKjyfBb+zcLyO3Z6NJ68hcg3P43lmwX0NSnMAWzvR67ne9ez0PLa9drB352rPutP36lK/7s4wf51h+tGR7vn3UUP0XLf4uv7+Zt3rUYvctV47z2uAHvWffVijfoAhv06dfBC/v/EzfvDbv/XVsSJAzyF67UDPYfiqkzwfcRBr/N10q/teDtPz60W3uxDde71/7xlggAEGGGCAAQYYYICB7Q2owekbsNSAAQYYYIABBhhggAEGXnf3eYTn9+Or3/22r+Su8whLR+d3Pbs7AsvoCq+jzbsgd9WdXUPo1Vj37kz0I+ehx/U4Azt/nUP1HB53o91XXfR7q/uAQRd4v0oH+i0j3es57rVW9YMH43p1UH8fsxA9fpc5OM9j3PPlbIz77EMUtfN8PM94jvF7Hh3o+X5diN4F6HXlTvJ8vMFq5dA8vs6319euIbrz0b3n+3efAQYYYIABBhhggAEGGNguXIPTN2CpAQMMMMAAAwwwwAADDHxY4fms67yuWbd4DoWPjCfvutBnYXkOymvo/R0/+OmXbuuC8VXYHtdX56LPznM/en75qgv/aAf67MMIrytkH3uptc6d+lHP8fPnMesRitcQPZ8Bn51049vrBybqVINqZDVuP35/4+sRno81nqdOEOgC9C5Ez53m9WiDmesuRF+F6zVIryPdBene+/37zwADDDDAAAMMMMAAAwxsF6zB6Ruw1IABBhhggAEGGGCAAQZel4E8tj06z2sgOBsx3nUDr7qt985L70LULkxfdZvnsHfWjV6D8jqyves6XwXps070VQB+pL5H7vM6g/T8fDGWvTs3Pofq9WfO49lnIXr+fcfzdN3n9QMZ3cj+lbv8mAjSu+cY5rsAPYfoXcf57MMjedWwPG4b932VIN2/Af4NYIABBhhggAEGGGCAAQYY2C5Ug9M3YKkBAwwwwAADDDDAAAMMvA4DI4gboVyceb4Kz2eB8KzrfG90eReM1xB1rwt9tWooPjvLvOs0z19349tnI+ZXHyS4tdP8aBd7vf0h49tnY/ZzwJ1HstcR7bkLvXaWR8d6jGjPtahj37sPT8wmGnQfzFj5m4XcuQs9zkF/KUhvgvPVc3a/99mkhbjM4XoN1GMvzkb3vu/ffgYYYIABBhhggAEGGGBgu2gNTt+ApQYMMMAAAwwwwAADDDDwOgyMbtYRysXo9gj68lnnEY7OOtBvCc9riL4XYtcgu4bh4/Kj7704mr07x7wb5T67rN3nXbC79/N1tai3zYLyen1vfPvssQ8J0PP9Yp95ZHuuT9weXeh1mkCuY35c/fnrWfbdhyzGbbGn7hz0Wb33piR0Z6FH93deEZzv/e67D0nMPjxSf5YubM9B+n2on7rRx9+uce7+HfB/AQYYYIABBhhggAEGGGBgu0gNTt+ApQYMMMAAAwwwwAADDDDwOrvPHzK6vQaBs1Cw+14dv90F5DUor6F2N5q9G9+ev9fdr56NPhsjvloPue/qMatO9VnovXefW7vQc4g+6vJzP/nj7Vny3Sj3+PnyaPY8GSB/6KL+PjsrY8Xe8rnoR8bmdx3fXaDdTT2IAHsWdHfGZyF69zrRgZ+fK394JT9+7CNC9NyJLkT3b4H/DzDAAAMMMMAAAwwwwAAD2wVqcPoGLDVggAEGGGCAAQYYYICBVzEwQrdZ93ntPO+6i7uR67Px2HshZff93JFcw/Ac5M7OPK+3rc5Gr13Vs9fOt6+C/tWHAer9apd7d+56rXcN2Gdh+usI0HP4W+udu9Djtuwk/zzRyV5D8jCWf+f5rPLsKO9nFZ7Pur9nj+k+CDL7MEPXdZ7vm183H3FQf3fxgYS9yQb57zHC/Byijw/AOA/dvwX+P8AAAwwwwAADDDDAAAMMbBeowekbsNSAAQYYYIABBhhggAEGXiU8H6Hb6GAd3ecxnnrWuVu7xve6rVeh5OqxtRM5upZzcJvD8xpKz+7bBe719vzYfHu9zypA3+uYr7ftfQhhVb/ucd0HIGah+K0henRKd6Puc+3Gfur55nkse/7d5g8A5OevHdk5kM4f6qgh9ujcXo1P3+ser3UfrxX1nb1u/SBDDc/3/l6++e3vfuFs+L3Av45zHyG6LnT/Fvj/AAMMMMAAAwwwwAADDDCwXaAGp2/AUgMGGGCAAQYYYIABBhh4qIERnj/vPn/n7S9HeF67jnO4uBcEPrTbfBae56C6Xu+C8G6twvDVbbVTve5j1Tm/6mDuOp5vWauu6vo72utQj4D46Kj36CDPv6M6Rj+u55A612XcFh3r+bZYucaz+tSQelzm4HyvU3zVPZ5vy53jdQx7vV8dob/3d5P3mz9gUX9vs6MTIkQff7vjAzDRhW6Uu38T/L+AAQYYYIABBhhggAEGGNgE6BB4I2CAAQYYYIABBhhggIHbu89HeD66z2N0ew7Qa7g4C8BrKFjv1z2uBqtdIL4al74Ky7sg/Bc/+Z3Pr3/m+7/9pQ71WVBeu8Rv+TlrR/hDgvRZALwK1rtAuD5/7ZLeC9Hryp303Tno+baw1HXJx+8qm8hd6Hnse/75ui7vozVbfWCh6z6PcDtqNHuO2Tnr2creY+PDAxGidz9LrkeMco8QPbrQjXL376F/DxlggAEGGGCAAQYYYICBTYAOgTcCBhhggAEGGGCAAQYYuN3A6FjN3eddqBgj0WvH9Sok7s70zvetYWs3Hj1e80iHeTy+O/98tlZnn9eft/sAwCoQn4XbXRdxHfW9us8qrK0h8mwEf97v3jnps5UD7npOfHcWeuwh13A8T5z/nQPj2FMO6WuHet773s97NEBfdZ/nMDuH/fl6F57XDw50rz/7neefuXvNNkR/950PxgdijHL376F/DxlggAEGGGCAAQYYYICBTYAOgTcCBhhggAEGGGCAAQYYuM1AdJ+P0c/jHOUaoEdYl8PlLkjugvOuOz0C0S4wr2FsDsBzSP75L/zyS13mNSzP16PzPI8WP9p1ngPyGnAeOTe8W0fPHe+eY/a8NYTfC+9X339IiN6d657rHGF5DpNzF3X8Hrqz0Ltz0utej/x8XUg+69bvHpOD7FUAPutez93nNXQfa4xyr193z11/xjzKfazxd5xHuXtP9O8iAwwwwAADDDDAAAMMMMDAdkINwAOPAQYYYIABBhhggAEG3tjx7ffd58/Gt3fdzPUs6tpt3nWZ5w71ejZ2Dszjvjkon3WZ/8pP/Mjzy667vJ513nWmd+eod2d5dyF+3Xs3snzW1b4aRZ/D5/qhhBwmd8HxKlS/pXO9e70jK3zUnyH/XuPnrZ3VORAf10ftaqd55692oOcAvdZi1X0+6xbvusfz/bvfT/cccT1qs9dxvvc7jDrNxrpHgD7W+HuOUe7OQj//vdZSAwYYYIABBhhggAEGGNieYA1O34ClBgwwwAADDDDAAAMMMHCrgdGdOrpUR7dqHd8eoWQOxnPA23Uc5yD9yGj2bqR6Db6/9NlPtWH43hj32TnoR16/dqnvPWf9GY+MjO9C+rF+7OMffSmIrh9aqN3HNVDfC2P3utVzSH0kRI9gO36e/KGK/LNFF3oE2/XDArULvY5xj+91Hybornch+KyOtQO93n8Vnnffy88T++4mBXT77yYQ5O70+rq1A/0+QH/n7S+Pv+sxXUIXun8b/P+AAQYYYIABBhhggAEGGNgE6BB4I2CAAQYYYIABBhhggIGHj2/PAWcOcWuXdu4i7zqxV13Ze+eZ5zHtNbie3b4KyFfh92qf8fP90Ld+0wsfEKjh96yjvBsF361VkHv0fPWue/xIZ/MsSM8fptgb456NVDPZSj6zPAfo47YY7V/PQq8f5Kg/xypA7z4cMOvg7mqeX68L0Pc61OPnr2PmV2P8V7fvfSAi/objLHRd6P4t9G8hAwwwwAADDDDAAAMMMLDpQIfAGwEDDDDAAAMMMMAAAwwcH99eA/R6jnntKu/OQu+C8xxiz8aZR7A9wvJYRzq8Z2PZj3aEz/ZTf+Yu+M4d+LPv3Rp6dx3Se49f3W826n027r0+pguDV93o0SUegfHKTt5DPV8+urXH7yiC63zf+D3n7vT6M+4F6Hls/OzDCjk8z9MYuvHss7Hvcb2Orj86tn1W69yJXrvSaxd6nIUeXehGufu30b+NDDDAAAMMMMAAAwwwwMBmhDsE3ggYYIABBhhggAEGGGBgPb59dKjmEe45DJ6NaM+juWfjyWcd57WDvAbnNVifnWM+C+1rQN7tPYe6s8B3dq57DdBXYfstXeezLvBVZ/jRjvRVeD4bKz7by6xLOofR0UFea7ga4x6vGb/DCMrj9rhvfY5Vt/bswwld2N19+KGObp/97mbd6VGH2n1eVw7Cu6/r7697rhqej6UL3b9//v1jgAEGGGCAAQYYYIABBrYTawAggAwwwAADDDDAAAMMMPBGdp9HgJ470HN43oXmNajO53avgu1uTPuv/MSPLM9Ar4H4eK1udHoX1M/OGT9yFnkdPb4ax77XqT5b+X5dV/Orjl7vQvS951wF6LUbvQt2axidf9buDPMcSEcne/x+VmPcuyC/60CvHeU1FJ918+dQP98nutK7wLx2uudzz2t9IyTPt4/bVr+HrkO9flAgwvO4Pj4YM/7Gx4dlnIV+/nuvpQYMMMAAAwwwwAADDDCwPaEayJr+fAAAIABJREFUnL4BSw0YYIABBhhggAEGGGDgqIERpI0A/Xn3+Tgr+d1v+0rtGO6C6Rood93lNTSfnXW+ur2G2fV162sfOVe9Oy+9/ly5K32vc7wGmavwueuAnq3ZePCjgfjRIH2vI717zlm4n7vQw1EOkvMI9vwaNUAfl3mk/vi6dqzHc+ydFz7rPo/nyvud3a/+TN3vphvjXkfFr+o7u98tQXp3tEA3xt2/E/6dYIABBhhggAEGGGCAAQYY2AToEHgjYIABBhhggAEGGGCAgfnZ5xGej3HPufO869hehepd53bXWd6F3Htnk0fneXe+enfWeReW1xHv9fZZSF+78LvO6q4TfK9rfBVWHwnEjwSvRzrTZyF69xx7P2MNnGtAnce71/vn58u/ixqg5+fYC9C739Wq+zyv+rPc8uGHWSd77jLvarr6HdR919/b+HpMdPjg73/5a9/zqZ+5/3rcN8a4j7/38XfvHHT/Hvr3kAEGGGCAAQYYYIABBhjYBOgQeCNggAEGGGCAAQYYYICBPkDP4XnuOu86sbuO7xoyx31Wnd9daL46w3w1fr0bF9+tuO9nvv/bp68xG9e+Ot98dvstXePd6PEanB65z60B/C0d7TXkXT2+BujRhR631wA9d4PH19lSHeOe696NcO/umzvic7BeO+TrhyG63/2qDl2AHqF5/V2tfqezDzXkn6v73lh/52//ra/9tf/m770YoBvj7t8A/w9ggAEGGGCAAQYYYIABBv6SEe4QeCNggAEGGGCAAQYYYICB6ej2593n77z95eg8z+F5Nyo9B83d/XNH+OiEHWsWnHej1GevmZ97BOCzgLw+Zqx8NnseTd+Nqq8/0yo43+tEfujo9S4Q7b5+SKC+F6J34e7e4/PPWUenr8adx9ngXQd6BL/595D3lj+80HWdx/Uc3ue95EC/C8+7rvPV2ei1NvmDA/V3Mfv95Z+96yzP98976J5vrL/6G7/x1fF30Y1x14Xu30b/NjLAAAMMMMAAAwwwwAADmw50CLwRMMAAAwwwwAADDDDAwIud5+Ps89F9XsPzLhSP0e35jOW8csf5lz77qReC864TfRbG5/OtVwF+Nyq+C+BX4XcNdmeheHffh3Zx741KXz2mG1E+G1u+F6a/SojedaLnkef1PnF7rWPtOK8BegTR8bvM961BdReg13A+77Geyd45qaP6a31mX3c/2yro3jPS/f5nv5scxlfDMcZ9/N3/9Od+4RPOQvdvon8TGWCAAQYYYIABBhhggIHtj6EGoIHGAAMMMMAAAwwwwAADb1R4PrpSR3dqd+55DhZrJ28OznPH+Wpse+4Qr53JXSi/CuzrGezdGPc6pn3WgT7rMn7I6gLrVdDZdU3vhelHAvRVkN4FwA/5QMAqTN4L0OuHEfL382vMAvQcjB8J0OvZ5/F82UMOynOAXsPzrjY1rN7rPJ+ZWIXnex5iH91t0YU+pk3oQj//vdhSAwYYYIABBhhggAEGGNieUA1O34ClBgwwwAADDDDAAAMMMDAzMMLz0Xmaw/Pcfd4F57Nwu45kr+PYa4Cdu8Jrl3nXUb4a417PPe8602Ns++y589dHw/RVd/gqZN67b9c9vgrDj3aiH93bLSF6fc7ahd59kGD2IYPu/rMAPX/gogbDcQ56rV9c77rPw2GdVhDP34Xne2Pb6326/cx+P7OvV0H7LHAP73WM/QjQowvdGHf/Tvi/AgMMMMAAAwwwwAADDDCwCdAh8EbAAAMMMMAAAwwwwMBTNTDrPI/A+Ie+9ZteCipnY6xzx3kXnsf1GnDXjvHVGeb1vPJV0B5B+bjMP8vYb1yvP2d3mT8k0I14n4XDq07hrhu761yeheazQHh1/9nXswB9L+zuRpHn/RwZaZ6D5a4m+esaoOeQu+4l/266kDqH8LMpCtlTBPEzC3t1zD/PLAw/MjEgd5Hf8sGJHKCPv8MaoOcu9PE+MN4TjHE///3ZUgMGGGCAAQYYYIABBhjYHnkNTt+ApQYMMMAAAwwwwAADDDCQDYyALMLzMbr5Pjx7Fp7XgHl2PnisCOZ+5Sd+pB3VXse116A7vo7Qu559Put4zx3jNUR/yLnnR9dsLPeso3rWbTwLwGdB+qrjePb9vYB19dpdV/Uq1O5GhO+tVYDedaDn584d47cG6PU88lV4Ho/tjhc4UrtVt/5e6J3v+5G3vr633Fn/kKkD9Xc0wvOxxt//eC9wDrp/K/x/gQEGGGCAAQYYYIABBhjYBOgQeCNggAEGGGCAAQYYYOApdZ2P8HyEZDk8zyPbc/d1F2DnkHp2zvmXPvupF7rO63nStYu96+jOIWsOzbtzz2cj3rtx7KszzVfB79Hz0FeB96wrvAtM99as+/xoiN6FubeG6Kvu6hogz2radd93AXp0YNcAPY9Tz4+vj8md1/l1o5t9dlxB7j6fPfesfrk2s9/33u8m1ycC9L3f6dEPS+QAPY9x14F+/nu1pQYMMMAAAwwwwAADDDCwPfIanL4BSw0YYIABBhhggAEGGGAgRrbPzjvPY85ziJm7vet49dxhXi9r13cXQq/C6Np1Xkesd6s7l73e3gXhR0PrLgiedRrvhd9dZ3AXpO8Fs7Ou5r3X3euCr2H57PoqRD/ywYRZOL96/lWAPgvdu0B6rG6iQe1s7z44MftARFfvvd/7kWkCtXN8Lyzv9le75l8K0NMY9/F+4d8N/24wwAADDDDAAAMMMMAAAwxsAnQIvBEwwAADDDDAAAMMMPBYDXTheR2XnsdYz84jz53m9ezzuE9+ziNB+ayjfDVK/pYgfhbez7rKu2B5FpDPQuCj4erq+6vbViH67DlmXcp7r3FLiF6fJ98+mzDQPV8NwutzZjfdnurjaqAf9wtneXJB/SDJzMfemPSutnu3r8L1WGOc++r7syA9OuxzLXKAboz7+e/TlhowwAADDDDAAAMMMMDA9kRqcPoGLDVggAEGGGCAAQYYYOBpG4ix7V14Pi67sPwXP/mdL4yzzmF5Ps88d5zPwtCum71bszPLc+Bdw+ojnd/1Pt3Xs1B9FnB2nc2zMPlI0H1LqFqD5iOh+Wo/s8d0gfOqfkc+hDALpGe/n67rO26PAL17nvr7y8+RO7Lzh0eqvXhc132+Cqxv6TBf/R5mzxf72wvR63OMv7Fx3ML4GfPPlgP0GOOuC/38921LDRhggAEGGGCAAQYYYGB7xDU4fQOWGjDAAAMMMMAAAwww8LTD8xGG1TPPa4Deja/O557n++Svo2O36xquwWR9XBeY1w7kLpidBbuzTt9ZiFxfo36dw/QjofYtQfoq1D6y9oL0I489upfVhxZWH5joHj/7Hc9+l11wHQF5PZu8Pi6PLO+60TunOZSPkP1o93l3fWbm6O+s+3BD/ns7sp+84gMytQv9Pjx/5+0v33/Axhj309+3LTVggAEGGGCAAQYYYICB7ZHX4PQNWGrAAAMMMMAAAwwwwMDTMzDOMM6d5114nkdgj6Cw3j5WHt9eu9BrB3AONWun+Wwsex33fmStAscjj5+N5549X3dm+l5I/ypB+q2re42uA/mhgfuR8HxW++77+UMJe53o+XVr+L0XoNfbax1qEJ8/yBGPqVMVjnZ7r+63+h3sdaTH98bj42/36GtHgD7+fvNe4vzzEZ6PNd4rxvuGc9DPfx+31IABBhhggAEGGGCAAQa2R1qD0zdgqQEDDDDAAAMMMMAAA0/LwAi+ous8j20fQVkNyHOAmG8bYeLsrPN8znkNM1dj2buAvjuDfBWoHgnNV8/5kPC4humzQDUHoEde+6Eheve4Iz9b7t5e3XcVZnfd6F0XevcaewH6kdfNndPdGfb5sbMx/PX56/j23H2ew/QjAfWsE7yr1Sp4P/p7PNJ1ntc3v/3d93/LeS/3Afqz4Dwux3vH+ADO2e9llhowwAADDDDAAAMMMMAAA3ePsganb8BSAwYYYIABBhhggAEGno6BWXg+xjSPVc/57rrAo/M8Os0jOK9nnUeIGY+vYXl0oc+6z48G56sQdjZiexYsHw07Vx3m3X5XAWgN9R8aou/9jLd8SODoBxVqaN49btYBPgvR61n2XTBf91J/7u6DEvXnWAXoOYSuxwjk55+ZyN3we7byz7lnr3q4JRy/ZcW+4/zzEZrHpIoI0Mf7yNnvZ5YaMMAAAwwwwAADDDDAAAN3j7IGp2/AUgMGGGCAAQYYYIABBp5WeB5j22Nkew7OZ13nOQwfoXeE5rFqcF5HXtezznMH+mxM+6q7uYbktXO9BvGrlUPbW0P7WcA9C4BXIfpDOuFngfIqEK+13QvHV6H1rOu8q+ORTvNur91Z5d1lBNB7e4iAOL4/C6zHqp5mgX33u60filgF50cC8Nl9Vj5eJUCPfQnQz3/vttSAAQYYYIABBhhggAEGtidWg9M3YKkBAwwwwAADDDDAAANP78zz0Xlew/Ou8zxCtOjEzeF5hOA5JK/BdATu+az0o53mq0B7Nlp+FajnQD/vt4bxs+71WRd0DdP3wvFV+L7qnD8adN8aoneB9F7ovgq884ctVvfJdT/yOz/ygYEuQK9BddQ5h+5dIB1+w07dV/eYLjyfBdS5g/2hq7r7sDrQ7ydVpA70cV0H+vnv65YaMMAAAwwwwAADDDDAwPZIa3D6Biw1YIABBhhggAEGGGDg6YXnMba9C6Rr8BjBeT3nPELFroN8dt55DbxnIeosAJ49pgs8V2PhZ13Dqy7v1b66EHcVYO8F4nWvq9C6ft3VZfX9WcCdb199yGEVjM+6/bsPLsxC9ZWNVcg/G9+fn3fWGZ5D8Nx9Xu2sgvsu2M7h/UND7/y4Wcf56+xAH+8TEaBHiC5AP/993VIDBhhggAEGGGCAAQYY2B5xDU7fgKUGDDDAAAMMMMAAAww87fB8FtiOywijo/N8hOjRjd51GedO9SPnm88CwBwEzkLZowHukaD4yGjsWbi8Cte7+62C6lkYvur0nv3seyH7rD5HajZ7nW6KQTdK/4e+9Zteup5v2wvuZ7U98rvqvp4F6LX7fBVW12B8Fvh3r/fQwHz1t/MqXe153Qfo77z9ZQH6+e/nlhowwAADDDDAAAMMMMDA9kRqcPoGLDVggAEGGGCAAQYYYOBph+dd0JfD8xi/HkFiBOI5nMxd33XVrvajAV4EqLWrvJ6tPut0XnWJHwlSV53ke13gR++zCtRrwLz6kMDR4DnfrwbWXff7KqyfdZfX30n8vmpoHqsL2mev19Wp+x3v3S9/rxuHPvv5Zh+sqOaOfkBk7+/gyAcZXldwHusjb/3R33YE6ON9owbo433l7Pc4Sw0YYIABBhhggAEGGGCAgbtHWYPTN2CpAQMMMMAAAwwwwAADj9PA0fC8CyBHmBkj28dlBJxxhnkN2XPH+Y99/KMvhey3dr/WDubcxd4Fx/W883x7N7L86KqBaRdsHgnGa6d1BNj5sguOu47t+uGB+kGDrqN7XO++l1+71jM/92zV5637iMtwEc87roelfN/ZhwK6YH32oYVVx/ksVK+/6+41a8hew/NqY2+Uer7PzNktPo/8bR35G+zqMs5Bz2egjyVAP/893lIDBhhggAEGGGCAAQYY2B5pDU7fgKUGDDDAAAMMMMAAAww8zvD8/Z/6zLd87/f+wJbD8xyg1wA4QrYano/vRSf6+N64X3QW57PNc2f40bCudgCvwvCuE3nWgX30+zV8XHWrH+1G78LX3HXdhcOrjvIaSsfKwXUNorsPHIzvjeB6rHiO2s2fn7c+/+wy7puvx+vEhykiMI/Xjq/zPuK+Xe1y2B+3H50GsBe01w9GRIhcfz/dhIS8l/p8R0ekz7rg98L37ue85cMq8aGA2XPn6zlAH+8nAvTz3+MtNWCAAQYYYIABBhhggIHtEdfg9A1YasAAAwwwwAADDDDAwNMJ0EfQVkc0R1iWg/KxRsA5vhe3RVCYx6nXoPvWMdXxuvU56wjsGoB2r3kkOD0SpB8JzOtzzzqzaxicA/Cjq3Z6167uGlbnoLwLy8dtn/n+b3/hPnG/eHzcL77OIf24Pf8s+b75NWLl1xrXx6p7zEF7/ZBB92GK7nfYrVu71PPfQn2dvW72VXh+pIN8FajX55p9yONIt3n+GY/udwToMbpdgH7++7ulBgwwwAADDDDAAAMMMLA98hqcvgFLDRhggAEGGGCAAQYYeJpnn9cQO3edjzAzB+o5zOyC8/p8Rztga3BeA70uwK5d6F14udcpvgrRu9e7JTiPlYPpHAzn0LmG5TX0rl3nOQiPwDkC6gin4/r4AES+La/8vfh+t+dY+fdd79PtI7rN8/W8x7y/vKc8/j//7LPx7t00giOheg29u070+lxHw/Pu8mh3eOd/9uGQI89TL48G7AL089/HLTVggAEGGGCAAQYYYICB7QnX4PQNWGrAAAMMMMAAAwwwwMDjMzC6z58H6O+8/eXRQVrHt+cgboSXIzyPkewRbo+vu7HqOdC8teu8BvGrruAaZs/Gac/C7lUn+SoIXXUcz84CX3WHj6D4Fz/5nS+F0+O2GmDXUHvWLR7XxwccxvPkFc+dV32e2FO+zHuK147nq3vMzxNheH297rJ+P+9l/CwR2OdwPnfG55rPxr3XzvHZhyZmXmbd6bMPYBwNx48G6TPbXff60b+7h7xuvHZ0oMcI9/G+4gz089/nLTVggAEGGGCAAQYYYICB7ZHW4PQNWGrAAAMMMMAAAwwwwMDj60CP8e0j8IrwPIfPuQs9Os8jLM8Bd/66CydvCc5HGJefq+uurYFlF37uBZGz57i1m70LWnMXeR2XXru2u8D4V37iR+5XDpDzbTlYH7dFmJ6fo3aO5/vn58rrV3/0E8+fL4f0+T7d642fqX6v/mz1Mfn1Yz/j9ePruD57fB3pXjvhVyPy80SEVWjefeAiX88fDlmZONpFvhecrwLxrpP9liB+r7t9L7Qf7x1jgkUN0Md7zNnvdZYaMMAAAwwwwAADDDDAAAN3j7IGp2/AUgMGGGCAAQYYYIABBh5fgJ67zyM8rwF4hOef/8Iv34fnOYSs4XkNK+u49FVwN+5fzzWfBYKzjvNVN24XMs6uz4LxvbHgueM5usxrEF2D6xwKf+mzn3r+/XH5X37+/Re+ju/nIL2G4TkgzyF83cN4rvH8+TlHaP2f/8T33982VoTYEayP783C9wj+x+PiNWpon58rv2b92eL189e1VvUDArVzfnVOfHYbt++NdO860fcmFBxx1gXdD+kcf0g3+yws7/a86jwfl+P9Y7yPCNDPf2+31IABBhhggAEGGGCAAQa2J1KD0zdgqQEDDDDAAAMMMMAAA4+7+7yOuI5gLIfnuTv8dYTnOQCv4fmRdXQ09tEgsAtCZ931XUDbdZjXTuwuuK7rd37+7vn3I0we4fW4fTx2XI41C9dz8JxD6hpaR0gfzx8h+Xju3/3C+/ffG/fNIXdeNbAf9xuPieA/d5TPAvLxejm0j9ePle/bda93QX4XpucPNITdfHs34j1/OCPuM/uAxmrU+yxYf0iH+K1d7DP7tzz3LPjPP/N4D4kAfXSf60A//33eUgMGGGCAAQYYYIABBhjYHnkNTt+ApQYMMMAAAwwwwAADDDwuAxGgj6BrBIMfeetj912k4/oIy8ZljG0fIWMeWR1hcj6jvAvPZwFhfq78mL0zp2fB+dEwctY9m4P87tzycTmC1/Ehgghc8xnm4/Z8znjt9s5Bd4TWH3zxc18dq4biERiPAHusHFiP+0WwPS7/7hd/5v72eFyE1/Ux8fz5tgirR8gdt0WQHXuK14r7xvfyXmvX+rgerxehfH5c3Ve8zt/8hf/0/jLuFz9/fa0I86ObfRaq5w8v5BA9zm3P4XntUI/APEzkUfB1IsGR7vRqbW8iwi2d5XvrSPB+NDivr/9SgP7uOx8I0M9/b7fUgAEGGGCAAQYYYIABBrYnUoPTN2CpAQMMMMAAAwwwwAADj68DPca3d+HxCIVjZHvXiV270PPI91VQ151BfeTs6Rxyv0onb33uPG59XEaHchey5jO2czjbjUjP3dYjKK8d2CM4/ge/9vP3awThEYjXr+uq94sAOsLmCL3H9+N6hPURWMfj4v6xx3x7vm88V95TvF7uGI/b4gMA9fZ4fH6u/+FXf+qly//+L3/6pZ9/BOy/8zM/9Dykj/A/AvV8mce91xHvOUDvOtS7UfzZa3d2ejW59wGQVQh+NDy/NUi/tdP9yHOtAvRxOT6g4wz089/vLTVggAEGGGCAAQYYYICB7ZHW4PQNWGrAAAMMMMAAAwwwwMDjMjDOPx8h1yfe/bav1AC9Bob19tx1XgPEWXCezziPEK7rQu+6w+ttRzt1u0Cw+0DACEvHhwVyCD66yWsIGx3n0eFczx3P3dU5sB7Xc1geXd0RKv+j3/yl+zW+Py7/4K//6v0a1//HX//s/e3xdTxPvV/cNlaE1PX+9evYT6y8xxzS5+vjMvb0PNhOHeM51B/3yd/LofgIyuN58uW4Pb4X13PAPl4vXnME6hGm5/PZI1ivQXr+Xc7OTc/hebaeu9Fn4flqesJsasLsCIJbx64fCdVvOe7gSPCf/45ihHuMb48A/fO/9Ff+9NnvdZYaMMAAAwwwwAADDDDAAAN3j7IGp2/AUgMGGGCAAQYYYIABBh5XB3oO0LvR5TkcG2FZdJzfGp7noDzfZ9Z9Pgsh8+NmgWPXaTsL/OLniRHs+azuPOY8jxrP537H/caI+xqcx4pAOgfgEXzXIDu+l+8zW1/5G792v/7x737pa//nf/uffe3/+Ht/7f7reI14/i4E714v7zOH8CPEziF+hNrjMq8ItruwPZ4/7pcfP773P//mL9xfj8u84rb8mNyh/jxM/5kfet75nsfJR5BeA/U8NaAb9Z4nEHShej6yoE5S6DrQVx8O6QLwvRD91g70WQf7q46Ij59/HP3wQoD+7Cz08R4jQD///d5SAwYYYIABBhhggAEGGNgeaQ1O34ClBgwwwAADDDDAAAMMPK4AfXSHRoAeZ5/nQDB3i4+vZ8H5LDzvgvM89rnrzn3I+eerEe31uXNwHuH56DTPKwLxuKxj17vzzGtwHuF5DsJz6B3Xc+Cd7xOBeKwRknfX88qP+d9++y+/0Jkezx9Bdg6wuw72HJzPguwcgNfv53A+vj/WeK389Vhjr/W2/Jz5uXNneoTo4zKu57HxOVAfv6cY+Z6nDHRBeriIEe/1/PMI0qvX/Lcycz2brPAqHeerEe8P7WCvl93RDPEzj/eOFwL0WO++84EA/fz3eksNGGCAAQYYYIABBhhgYHvENTh9A5YaMMAAAwwwwAADDDDweAyMrtBZgB5nPuex1Tk8r123XadrDg1r6DYbK911767CxnrmetdpXkPz+LkiFI2wtHai19Hs9Vzz3JGeO9S74HysEW6PNcLzuD7Wv/y9//qF62P9X3//v3jh8v/+vT+6/7htXI7bxvUIzmPlMD3ff4TUOWyPr2twH2H2uG1cz+F2vV5XDcfr9+LxOeCvrzEL0HN3egTpIzSPy3r9+Yj3ZyF6HvUeneh5rHuE6d1Y9+hGz+P+uykNqykKsw907IXot65uWsMtj12Ng6/3qUch1AA9OtDHh3XOfr+z1IABBhhggAEGGGCAAQYYuHuUNTh9A5YaMMAAAwwwwAADDDDwdAL0Gj53491n4Xk3Zr27TxcmrsZid+Fi7nCvXfH5gwA1NM8d6CM0j8sRntagPM4yn51z3o0/r8F5Dsjz+n9+/+uXIxDPoXm9vX5dbx+PGyt/Pa7/q9//7+6vd13rI7iO23PAHtfje/k+/+y/+uLzwDvu14XpeY37xOPqZVzvgvfVaPcI0XNoPlY+X/2+G32Mdn823j2flT5C9DgrvXag1xA9d6LPRrofDdOr6S6sfh3B+Wx0/NHn74Lz1TSIHKCP95MI0N//qc98iwD9/Pd7Sw0YYIABBhhggAEGGGBge6Q1OH0DlhowwAADDDDAAAMMMPB4DIxgqwvQc3heu9C7M89zyLZ3Nnkdr547cnPne33+VdCX91m757uVO4rrKPcI0MflGOVeu89jnHsOzXNYHqPZ61nlIzwfQXbtMI+we3zv//3Dr69xW9w+LuP27j55jUB9rLhPdKhH2D6u5671EYqP4HpczwH7uKzBedyW13jsauXHxdf5Mgfp+eu6ajd6F6TnDvRYI0SPse4RoD/vRk9heu5Ez6Pda6AeKz6I0QXpNVCvQXr3d3N0nPtDAvUuDL/leWcfjqnTIsbfTxegf+K99352vM+c/V5nqQEDDDDAAAMMMMAAAwwwcPdoa3D6Biw1YIABBhhggAEGGGDg6QToOTyv49BX55MfCfJqJ24XnO8FezWo7MLyCMdr9/kIyKPrPAelOUCtI9zzqPY8pj1GskcQHkF57jzPgfn4/r/5w3/4/H45JB/r//tf/+FLX8dtX/3KP3rh6y5Qj6/H84/L6EyPAL12u0d4nu+Xv+7C8701wvB4jnpbvozQvHao10B9Ntp91pFeV4x0jzUC9ZgikMe559V1pXdj3btVw/PZRIVZN/otgffe2PVX6Wo/0t0+7UB/950PxvuLAP3893pLDRhggAEGGGCAAQYYYGB7xDU4fQOWGjDAAAMMMMAAAwww8PgC9BF0zc5Az+FfDgFnHbSzcG/WfZ6fdxXy1XPPV2ebR2geIXke1x63527jHJh31+vI9gjOx2V0nUeHeazoGM/d5LFqSB6BeF31eyN0z6F5fZ4axOeVu9AjSM9d6zk0j8A/gu8arM/C9VvC9hqm1472PNp973z0bsT7CM1rd3oO0e+70dNY9xGix8rhee1Mn4Xp8eGM+ncSYXo9WqCG6LOx6KtpDt19u+/t/Y2uAvm9146/xy5Aj/PPx1ERZ7/XWWrAAAMMMMAAAwwwwAADDNw92hqcvgFLDRhggAEGGGCAAQYYeBwGxpnEI0AfI5YjQO/C873+h+p7AAAgAElEQVTO8yPd4qvQL57zyONno9pzl3kE5DU0r93CEXzmoLwG6hGa1w70GpxHMJ6D81mQHSuH4bWbPG7L3eazgH0Wwtfu9LjMgXke6X5kzYLy7nvd41Zheg3Puw70vSB9NeI9B+m1E32sfC567ULP1+vEgno+eh3jngP0o2eid93o3fXu7+uh550f6Wqf/T3He8X4AE4N0J1/fv57vaUGDDDAAAMMMMAAAwwwsD3yGpy+AUsNGGCAAQYYYIABBhh4HOH56Aod3aH3Afo7b395BF85QF+Nnb51tPRs5PPR58j7qKF5XvX2GmbGOec5CM2dxbXjfHQnj3O0R2CeR7bXse155Q707uzyGnivQvLxvW6tQvUuQJ+Neq/j3evK56bXoL0G6LOgPAfqt4bo3VnoOUSP2yM83zsnvQvRn5+N/ixEHwH66mz0VSd6fEijC89nXeh1qsPqaISHHJfwqmPbj4To8bOMAD3OPs/nn4/3m7Pf8yw1YIABBhhggAEGGGCAAQbuHm0NTt+ApQYMMMAAAwwwwAADDDye7vM4/3yEXXl8+5Gx7UfDuRqi1+eaPS6PZ8+jsbszzuttEV7m++Qzzt//5A+3wfkIT6PLfATmY40AfQTm0XEewXntPM9njueu8r1O8VlgPgvQ6/1rCB/Xu8A+d6LXFSF5Dc278PxIl3oXrj+kG72G6bMO9NyFPhvnnke65y703IkeQfq47LrRuw9d1G70fA567UDv/q6Oflil/s10Hel756EfOW6hC8lnr5n/pseHcLoA/ez3O0sNGGCAAQYYYIABBhhggIG7R12D0zdgqQEDDDDAAAMMMMAAA4+j+7yOb58F6LOzmm/pYs1dql0o14Xnq6C87q3eHkF7HtdeO4dzMJrHs8fKHecjPB+rBuf1zPF6dnm9vKXL/Jau8y50n42Gn3Wi1xB9LzifjWuf3e/oSPcjAfqRM9FXXegRov/uF95/Hp53IXo9G72ejz7rSs/HBXSBeb29G+O+Cs9nYfoqBO8C9b37dOPauz3EzxHj2+/XeF95772fdf75+e/5lhowwAADDDDAAAMMMMDA9shrcPoGLDVggAEGGGCAAQYYYOBxj28/0hG716Vag7hbute7LvMuIK9hef56BJQxxn10m9fQM59pHpf5fPMcnH/lb/zadFR7nGV+NCyfjW2vneTPg/N/9j/tBuqzrvU6zn12NnoXoHdh+tEO9CMd6g8J0SNIz2F5/jpC8lmonsPzVRf6uIwO9AjR94L07gMauSM9TOZQPYL0bqz70fHt9b57Y9i7v9kjIfwsOI89jP3X8e0jQB8TLgTo57/nW2rAAAMMMMAAAwwwwAAD2yOvwekbsNSAAQYYYIABBhhggIHHEaCPcCt3n9dzmmuot9c5vgrWV92xtfM8Os1rMF7Pjc7Beoxrrx3nOTzP3eYjEI3LPLJ9BOcxqn01pn01jv1IgH60i/yFID3WDd3qs+7zWzrQHxqeH+1e3wvQo/M8X98Lz2dnokd4Xs9EH6F5XHaj3GdB+pEz0mtwnsP02Tj3Vz0H/SF/n3sd56vwXIB+/vu6pQYMMMAAAwwwwAADDDCwPeEanL4BSw0YYIABBhhggAEGGHizDbwwvv3Z2eddeD4C6S7MOzq6/dZx710neRec15XD8xG+f+oHvud5iDnCzQjRY43gswbnsfJZ5zk8j+t1ZPvRM82PdqJPw/NZmJ5D9Xy/Z9ePjHCP613nef76dQTnR85Mj+A8X88BeteJPgvOu5HuXSd67UbvRrkf7UafnY2eu9Gz3bjc60SfdYMf/Xs80o2+CtdnHfC1Az260L/rvY//ug7089/vLTVggAEGGGCAAQYYYICB7QnU4PQNWGrAAAMMMMAAAwwwwMCb3X0+wvPoPh+j2yNA7wLqh4TnebT00aC9jmnPQXp3W3wd3eojNB8rgssI0XPXeR3b/js/f3d/BvZYf/eLPzMd2T4C4dx1noPzOnp9GaSnULsL1tvu8xqQr75ehOi5I73rPL/1LPT4Ot/e3a+efz4L17uO9G58+2yU+2qMew7Pu270HKDnIH12HnoXpOcPbKw60WtHep6akL9eBem3HIdw69oL0Wdd6OPvrY5wHwH6OCbCCPfz3/ctNWCAAQYYYIABBhhggIHtkdfg9A1YasAAAwwwwAADDDDAwJt/9vkIt/Lo9trlfUtINwvWbgnORxCeQ/H4Oo9qr8F5hOY5MM/d5znUHCFnhOej63ysEZqPNULUGp6Plce1r0azL0evNyH56v7LbvSu8/xf/u/T8e6zML/rQo9u8xqed+H4Xqier9cA/Ugneu0+78a551Hus1UD81U3eheg5xC960KPAD18deeidyt3necJCvlvIZuvf58fdoh+S6Ae+xh7fiFAH0dDvPfez44P64z3nbPf+yw1YIABBhhggAEGGGCAAQbuHnUNTt+ApQYMMMAAAwwwwAADDDye0e15bHsdIf2q5ysfCc8jLK/hYe0wz9+P4HyEldF13o3MHl+PUHOE5hF4Rtd5hOcjOK8d5zGqfYTnXYBeR6Mvx69PQvHVmPcXOsm7bvNZeJ6/PnAeeh7h/pAz0bvAfO/M89no9np7N8a9C9BzkJ5D8jrOvQbnEZ7HZXSh1wA9B+kPGeVex7nHZe02z3933TEF+W+yBtnx93TL1Idb/5ZXo+TjtZ8H6O++80GMbxegn/++b6kBAwwwwAADDDDAAAMMbE+gBqdvwFIDBhhggAEGGGCAAQbe3AB9hFoj3BphV3Sf1zPQbz33/JbzmON1cjheQ/LaiV5XBOT5eg3O89j2CDtz1/k/+LWfvw/Pu7POR4g7O/N874zzo93nddx6DdZfuE8NyidB+r/9p3/Qn42eXiP/DBGazy73QvRZmJ7D8b3x7fX88zzKvetAr+egr7rQa2Bex7fPRrnvnYdeR7rXAD1f785Gz53osWpQvrdWZ5K/jo701d90fv58tIIA/fz3eEsNGGCAAQYYYIABBhhgYHuiNTh9A5YaMMAAAwwwwAADDDDw5p59Ht3ns2Du1nPPj4bnEe7lkew1NK/BeQ3X6znns+A8h5gxsj13nUd4HiPbY0VoPgLcI+H5rON8b6R7e1757PzzOr49h+nj+l643oT5s670Gp7XEe9daH5LF/pqbHse3V7PQF+dh74K0Wfhee0+n52HngP0GqSvQvSjAfowHZc5RJ+Nba9B+Vhdd3j+/quE6bOQPv+9x99sfBAnxrfrQD//Pd9SAwYYYIABBhhggAEGGNieUA1O34ClBgwwwAADDDDAAAMMvJlnn0f3+Z/76J/957PgvAvtXnV0e36NGpbX1Y1zH+Fi7Tavo9tzeB7d5zGyfawRnEeIPgLTfN55Pvd8hMA1PJ+dJX5TWD4JzXdvX52B3oXn3Znozy7zvus4970x7reOdN8L1LvO81mYXkPzvEYwXkP0W0a3rzrRZyF67UKfheizAD2Pce/WrBO9dpjn7+2F36+rE70bIT9WdKBHgD6WEe7nv/dbasAAAwwwwAADDDDAAAPbE6nB6Ruw1IABBhhggAEGGGCAgTe7+zxGtu+F5686AjoHfTUwr13mXcd5fsy4PYL0CNVrgD7WCM5HYD5Czdx9Hl3nceb5bMR4hMU1PN8dx74Xeq8C8y7wnn3d3V670nc60esZ7rMQ/UhwXrvRu+702Xj3VWC+6kLvzj+/ZZR7Dczz9b3z0GsXegTpt3Sh5zA9QvP8wZKxcpDeBea3dJu/zr/lbsWexwdzBOjnv99basAAAwwwwAADDDDAAAPbE6zB6Ruw1IABBhhggAEGGGCAgTfLQO4+/8S73/aVHKDvjYt+lcAtnj+verZ513ke4WE33j0uu87zEZ6PwHwE52NFx/kIz0eQOrrOx8pnnke3eT0DfK/7vJ5/vuwqrwF29/WrrBjlHuH5IkTPHwaYhedxmUPxI2ehd4H5Kjy/pRt9tnIH+pFR7rMQPYfnsy70vRB9rxM9m907C72Oc69/U/W4hdcxsn32d7y6HvsY7ynPA/RnXeg60M9/77fUgAEGGGCAAQYYYIABBrYnUoPTN2CpAQMMMMAAAwwwwAADb5aB3H0+Qq4cmj90dPuRbtUaBI6QfIxej/B8dR56DQbjthye15HtEZzHyPYRnMfI9ug8j/A8d1ePwPjf/OGL4XgOz8f12oG+7ETfC7xruD773kOeu4bpTUd7/vlWXeh7wXn+Xr7edaTvnYO+dx56DdK7M9BrgN4F5t1Z6LPu81mAXoP0PMo9QvS4jO7zuMzB+VgxWSF/cGRvdHv3AZUj0yNe91no+TVHgD4+nCNAP//93lIDBhhggAEGGGCAAQYY2J5gDU7fgKUGDDDAAAMMMMAAAwy8WQYe0n3+qucl167zCM670ezxvdxlXrvX8zno4/4RSkZwHp3n43KsEZxHiB4j20d4PoLaCNFzgJ47zmuYvNtxfiQUPxKGH3jsC699JExvnqt+CGB1DnoOx2eB+V4H+qoj/SFno9cgfdaB3gXmR7vQZ2vViT47Ez2PcI9O9K4DfRai14kQ3fUubH8dXeizIxlqN/z4YM59gP7s/PPoQB/TL85+/7PUgAEGGGCAAQYYYIABBhi4e/Q1OH0DlhowwAADDDDAAAMMMPBmnX8+gqwRaI2QK4fnt45vPxLKdWOmc3Bew/P6vdhHDdjf/+QP3weQ4/oIHUcQOQLzEVBG1/lY+czzEY6O8Pwf/+6XnofntfN8FpbvjW2fjmM/OpK93q8bwd6F8g8Z+96E97MAvQvJZ2F5vb2eJz8L0W/pRK/noO+dhd51oN8yxj2C8iPd6KtR7jlEr13ouRN9dv55/ZDL6gzyI93iH0aIHp3n3fnn4wM7P/25X/iEAP38fwMsNWCAAQYYYIABBhhggIHtCdTg9A1YasAAAwwwwAADDDDAwJsTnufx7bX7fNbp+iqjn2sgn18rh+L1jOd8mcP1CBnj6wggR+f5CCfH5Qdf/NxXR3A+AvR87vkIz2PFeecR/B4Nz2vYPO0m77rRazD+utZegF5fcydAjxA9d57n8Dx/ncPz7vYcnq9C9HwG+qoTvY5yv7UD/Uj3edeFPgvQh6+Hhuj5LPQjZ6DXKRHdWee5E331N/uQEH0vnM/7ez7CvQTo4z3o7PdBSw0YYIABBhhggAEGGGCAgbtHX4PTN2CpAQMMMMAAAwwwwAADb4aB0f05QqwRZo0O0dn49trl+pDzk8f3P/LWx144/zwH4jkYr+PZZ+F5DtojbMxnn+fwfHShR+f5OO/8D/76r74QnnfBbxecd1/vhuaz7vMaZNfzyeuo9b2gvb7GkWB+p/O8dqF3ofjeivvXs8+PdJ3vdZ/Pxrh3neirc9Bv6UKfjXGfnYP+QpA+JiGkEL2Ocl91oUeAXo8xmAXpR7rRX3fneR0b/1KA/qwLXQf6+e//lhowwAADDDDAAAMMMMDA9oRqcPoGLDVggAEGGGCAAQYYYODNCdC78e2r888fGp7nx9eu8xyI13HVXXgeYWIOFsdlPkd6hOfRdV7D8wjO46zzHPTmkLg7+7wL0fc6z59/f+8s8nw560xfheJ1lPteyN6d155C9O7c99UI99kZ6Pl6F6K/6gj3VQd67UbvQvS9IL3rQp8F6NNR7s+C89yFPkLzHKQPt3mk++oc9ByiH/m7fd3j2lcTJnKAHh/KqSPcx9QLI9zP/zfAUgMGGGCAAQYYYIABBhjYnkgNTt+ApQYMMMAAAwwwwAADDLwZBlbj24+G50e7U+N6Dsbj/PIantczz2twnu8fY9xz9/kIz0doPlaceT7GtufO8wjPc/hbx5TH10fPQF8G6N3o9lloXgP0ep+9ce2r8Dxdz3ue/Ux1jH03ur3edrQzvYbpq9C8G98+6zifrQjPc4C+6j7vgvP89V6AnrvPu3HueZR7DtG7LvQuRK8fNJn93c7Gur/O7vPuwzKzM9BH97kA/fz3f0sNGGCAAQYYYIABBhhgYHtCNTh9A5YaMMAAAwwwwAADDDDwZhjI49sf2n1+S9DWjWsfAXqcfd6Np+7C9RqkR3D+cz/54y+Mbx/h+eg6z2PbuwD9X/3+i+PJZx3os/PPX+rk7rq7984jP7qOjmbfOwt9cd55HeHefaigC89rt/leeD47D71+b3UG+ixIHyF57T7vutD3Rrh3Z58fPQM9gvO9TvTf/uR3fbUb596F6PnYgm5Kw1i5A3wVor9qmF5Htncj3EeAPtZ9gP4sPK8BunPQz/+3wFIDBhhggAEGGGCAAQYY2B55DU7fgKUGDDDAAAMMMMAAAwxc28AIrJ6Pb0/d5915yjk8vzVsy8FaHtmeA/QcAubO8wjK83j3saIDd6zoOh8hfISNY43wPI9sjxXheYSwNQjuzj4/Ep6/NKb9lvPPH7K6EH0vqJ/srXbPr7rQj4bot6zchZ6D8y483xvhPhvb3q3ZCPfceV5D9Fn3eXSeT8e3Rwf6z9+1neh5pHvXhV5D9Pg7mXWhd+ehd2ej5+uvOlkir/G84/axjwjQ788/TwG6M9DP/3fAUgMGGGCAAQYYYIABBhjYnlANTt+ApQYMMMAAAwwwwAADDLw549tHsHVr9/nRwK12wubnz2PZa4ge9xvBeHSo5+A8wvP3P/nDz8e25/B8dJ6Pke3RfT6Czzj7PJ97Ht3ntdt8b1T7LERfBuh7Z58/JETPz9G91sFAvf48R0e55yD9lk7zGp7vdZvfch766vzzHJzPQvTZGeh7Heiz88/bEe6lC72G6BGg3zLKPU9xyCF6143+urrQZ88VrxMB+riMAD2WAP38fwMsNWCAAQYYYIABBhhggIHtCdXg9A1YasAAAwwwwAADDDDAwPU70CNAn41vz0H6bHTzrSFbHjMd49nr6Pa4bz4fvXakj+B8jGsflzlkzKPbR4AeIXp0n4/wfKy98PyWEH129nl7+6uG55Px7f/2n/5BH+KvRrffMMp9FqB3axWgr0LzWTf6rV3oXYjedZ2vwvRXDdDjsp6BPus+j0B91YWew/P6gZLZOPcjXejd3/LR22Zj3Ovf+rheA3RnoJ//74ClBgwwwAADDDDAAAMMMLA9oRqcvgFLDRhggAEGGGCAAQYYePMC9OgUrUH6q56THM+VQ7XcSZ5HuUcQN4LzEY7ngD2C8xEm5svchR7h+Qdf/NxX8wj3CM9H53mce96dc370zPNpkN50dC9D7Vu6zGvgfuQM9L0AfRL81zPQuwB9Nsb96Lnnq5D8SDd6hOVxPZ9/vhrfHoF5PQu9Buh1jPssSN8b415D9LYDPX09C9Fr93kcZ1DHuOcPpNTwPD4MU7vRa0D+kOs1PI+/9dqB3p2Bfvb7oaUGDDDAAAMMMMAAAwwwwMDdo6/B6Ruw1ICB/5+99wuxrj/P845CIOCQQqnTE8UtUVXloCixSsDYpMYOI9w5SvIVCUcCS8QRgiixmzhW3QO3qSlGEhVEEEqqP/TDimrLDTa1FfyJkBPZpsqXE1km1AdqbfKHHPhAIiKGIJV7/N7je+55fmutPd8nrXnfuQ4e1tpr79mz9m+uvebgWvfzXLMGrAEMwAAMwAAMwMCjF+iSVxJZnUCf0qur2cd79cf++B+kyrOtc4s+y3O9xvLcrdudRM+yTMzk+Yfe/QM38lxbCXSLc8tzyVVLdMtfJdAvTZu/Hgn0m8T4pW3ajwr0VQv36WcW57wlzbN9e7dwP9rOPUV5ivDXo317P96af35kHvqeOO8U+qo6de6Z6LcC/cIUeifQM/HdqfStNu6dIr+0hfvUZcJbyXNvJ4Gum3gQ6Of/P6BYAxiAARiAARiAARiAARiAgasnsAannwDFGsAADMAADMAADMAADMDA42ZA0ioFukVXt3B/LcnzrRnokuKZLk957rI4t0z3z/i4hKKflzRXOYEuaS6Brnr15Q/dzD73/HNJX7duzxT6lLrem32+nIO+N/u8W7g/JI0+PXdk9vkg0PP8p7btkzDPtVul0C9pzX5EmHf6/JL27SuB7q3nn2c5hZ7bSaRn+nyvjXvPQ+9UugR6SnSVBfok0S3SW6J3S/cpfb4lxVei/OgM9DwXXV/+9Jve+IrFueq7vut7riTQdTPP2ddDijWAARiAARiAARiAARiAARiAgesXfg1OPwGKNYABGIABGIABGIABGICBx8uAhJUEugSWEqGTQM/27a9l9nnPXe6W7ZmO9VxzJ89Vlum5n/JcIlHSXOUEusW52rc7ge4UuiVvtnGf2pRfkjzvFPru7POHyPMjUj23e/L+AbPPJ1nex7w/Jc+3xPqqbftWOv0Sie5qad7CfEqgb8nzVRJ9K41uWe4E+p0k+tDG3Un0Fuhu4a7vUM5F7+9xj09Iyb2XLD+aQJ9S6HkzDgL9/Os+xRrAAAzAAAzAAAzAAAzAAAxcPfE1OP0EKNYABmAABmAABmAABmAABh7//HMLdLVWzvnnKd0e0t652zi3PM+0rJ9ree6kudtRZ+t2HbdE9NxzC3RJc7Vvtzy3TM/55zkHfSXP9yR6S+fD6fMpLf5Qcb56vPo90zkcmIE+pdAnkb43A/2hs8232ruv5Pkqid7J8yMCvSV6y/QjAj3T5i3RbwV6tXHvVu4t0LP8PcmuDiuJnjfGTC3Yjwrz1Uz0lOi+MUc36ZBAP//aT7EGMAADMAADMAADMAADMAADV094DU4/AYo1gAEYgAEYgAEYgAEYgIHH375dbZRToLc8n9KlD5mL7JbtEnvZyt2STWLc8twiMOeju0275bkT6J59bnnuBLrkeSbQ3bpdJema8rzrqCzfnIHecnorBX5Jm/aHJNNX4r7Pt+T5SppPafOegb4lzieRvkqetyBfCfWtOehHW7mnOM99C/OtJPrUun2VQJ/at7dU35PoLc99Q4m/N06lZwI80+fZzr2/2w+Zgd4/P41t6AS6bt6hhfv5/wso1gAGYAAGYAAGYAAGYAAGYODqCa3B6SdAsQYwAAMwAAMwAAMwAAMw8PwI9G7hvkqoXiLUvJ/zzichnzPOO6HebdslCbN9u4RiC3Snz93KXfPPU6J3+nwS6CnSV0nzVfv2UUwfEeivhzSfEun9O7Zmpddnndq0tzRfSfWtxPmqpfv0+hbmk1hftW/Px5LlmUJved7ivNPnXXn8IS3c7zx+Jsz78STQVxI9xXl3eZg6S2zdEHPJzTJHZqFrO7VwV6kThq5HzEE///8CxRrAAAzAAAzAAAzAAAzAAAxcveBrcPoJUKwBDMAADMAADMAADMAADDz+9u2SWZ1AT4F+qUTL8vtY5rU8d/JcZcFu6efycYtzP1Y5fZ4CXdJcAt0pdM8+lzxXSZxL0B5NoE8tzSd5PibQW5xPIj2PvRaJvvfzW+3jv/i5b3ztS59fJtD3Wravkuh7KfQW5Xut3acE+pZAn9LnnUK3SPe+JfoRgX6khfvuHHSn0UOg385Bf3as56CvWrl7BnrefOLvUX6ve3RC3iyzmml+STv3vHlmK4HuFDoC/fz/CRRrAAMwAAMwAAMwAAMwAAMwcPVE1uD0E6BYAxiAARiAARiAARiAARh4vALd6fM9gf6QBHrLs5ylnnI9pfk0tzmT53pegtD7EoYt0CXNVU6hW54rgZ7pc287VX1k5vlWK/cU6xelz4+2dn+ITF8l3QeJ3p830/jTHPSVTD86B/3ILPSW50dEeqbPp/btUyv31ezzftzt3I+KdInxl3/kpTuyPIX5JM5dqwR6S3R/R7qNe36v3BGiH7dEXwnyS9q3T7PQJdBvrjeRQJdEJ4F+/v8FijWAARiAARiAARiAARiAARi4egJrcPoJUKwBDMAADMAADMAADMAADDxOBiSrJK0s0G8k+pve+MpKoB+VaS3MOu3q592WXcLPKfOUep5xnlsn0LON+5Q+dwLdM9CdPpdE9wx0y/NOoO+1ac+E+er4eGxvHvrrOfd8awZ6/q4hHd+ffyXQ9yS656C3SO+W7ZNY3xLnU0v3vRbuXS3Qt+afT/J8auPez/cc9CxL9DvCPKV5b0ug5xz0qY27St8jy/Nu3b6VRF+l0I/MSO+27dO1YJVA1808CPTz/y9QrAEMwAAMwAAMwAAMwAAMwMDVE1iD00+AYg1gAAZgAAZgAAZgAAZg4HEykO3bjwr0S+afd3toVc5D98zznHeucrt3z0LvhLqOO4Xu9LnkucvJ8xboKc8ldbdmoE9ifGrRvjn3fE+iT0J7lR5fpcsfItD7/SspPyXQ9+pSgb6S6EeT6C3Rs7ae6xT6Vvr8iEDPNPolbd0t1vdmo1uei+nVLPSVRHcKfUui+/uZjyeRfukNNJNs9/v+qe/4E19Oga5rEC3cz/9/QLEGMAADMAADMAADMAADMAADV09oDU4/AYo1gAEYgAEYgAEYgAEYgIHHLdAzgb43A/2SVs6dPPVjt5PO9HkKdEvyfJ2fkxj0sUmeO3ne8889+1z7lueSrHsJ9FXL9mkG+iqJfq+V+6qde8vuaWb5kTnnW+3gp99TYv9SeZ4C/cgM9L1qwX50LvpWGn0riT4l0FOaT7PQu5X7JNUvmYeeM9DvJNOHNu4rgd4S3fK8b07pmr6jLdL3UumrbV8DbgX6s/btlucI9PP/H1CsAQzAAAzAAAzAAAzAAAzAwNUTWoPTT4BiDWAABmAABmAABmAABmDg8Qr0nEEsgS65JYHeidRuy7xKpfbrnG7NVHqmyp2GzWOqbuHuFu/Zxn1Knk/t25U89xx0J9Azhf5v/vFank8zzie5vivNU5778STMX+/W7Udl/aIt/UqktzCX4J6S6KsUeovxS2ejd9p8q437QxLomUJfyfOt1PmUPrcYX4n0luf32ruHQLdE71noqwS6qyV6S/KtOpI637qRRtXt2926XaXrES3cz/+/QLEGMAADMAADMAADMAADMAADV09gDU4/AYo1gAEYgAEYgAEYgAEYgIHHx8CHP/jhPyRplTOILSmDFYMAACAASURBVNA9p3hKn+/NPe7jPW+527NbsFuWq3TM7d1X8lzP9ezzFOiS5z/3gXfdtm/XVtJcEtXyPGtLoE8J9M027XsSfStxviXDH9LG/WjCfZDok0Dfmnk+lV5rGb6XSJ+S53vz0LdE+Vb6fJLnKdGzhfuURM+555dK9FUK/V4qveaft0BPie5uDCnRU5pP89D3UufTcw8V6HlNsUDP5LkLgX7+/waKNYABGIABGIABGIABGIABGLh6Amtw+glQrAEMwAAMwAAMwAAMwAAMPE6B7vbtFlkp0FdybS9l2vOOe+ZyC/SU59nOfXrssiyURM8Eulu4S54rgS6B7hS6W7hLnnv2+WoG+pZA33p+FOdTbaXCjwjxS1PoR9q3X5hAb4meSfQ9qf5aW7ZPrdotzCdxPkl0yfKVSD86B/2hSfQjM9DvtHB/7/WtMJ/auG8l0fUdsjhPgb4l0f2dnVq3v5Ykun+PBHq2cHf63KVr09nXR4o1gAEYgAEYgAEYgAEYgAEYgIHrF3oNTj8BijWAARiAARiAARiAARiAgcfFgARVzj+3QJfU6vnnLcQvleeWcZ1Ad/o85bkfZ3v3fN4JdJUkoYR5t3H3/HO3cFephbvkubYSr5LoKW0ngT6J8j52SJrvHTs60/y1tHEffs/XvvT5MXm+SqDvpdD35qD3dk+UH3lNCnQ/vjR5nunz1Sz0VRv3PWm+NQd9lTi/J9AX7dunWeiTQJc0z3buvmklv5NT2nwS65eI85VA1/XlZgZ6pNAR6Of/T6BYAxiAARiAARiAARiAARiAgasntgannwDFGsAADMAADMAADMAADMDA42PAAt0lkT4J9E6PTonU6Xi3bU957pno2ipF7rbtFnye2+xW7U6eO1GrrVu4Zwq9W7ircva5E+guy9kteb6XSN+V6KtW7lMa/Js1C32VRu9zrET66iaCFuUrqZ4p86327d2WvUX61Lp9SqJ32twp85VIT6G+JdFXs9CPyPPe7rZtfzb7/I5Af9bKPRPokuaW6PoeZCv3rRS6v1s5C31r7vn0vd8S5dOxvo54DrpT6BLo2cpdbdzPvj5SrAEMwAAMwAAMwAAMwAAMwAAMXL/Qa3D6CVCsAQzAAAzAAAzAAAzAAAw8zgS6xdWtQH/TG19ROtTp1FXKfDX7PB936tzyLltD58zzlOdOnlueayshmAl0C/Ru326JnvPPs32756CrdXumz71NaZ4COVPZLc/viPWW5Htz0Fft1R/aun1Pzm+1ca9jnTxvgd7J/W7l3vK8j7cg30uar9Ln0/zzrcr0eR/bS51PLdwtyF9r+3bL80yi5xz0KYUu7jOBPqXQcx56tnDfS6I/dAb61I3C+5Lntyn0auOureQ5c9DP/x9BsQYwAAMwAAMwAAMwAAMwAANXL/ganH4CFGsAAzAAAzAAAzAAAzAAA4+PAQt0b1OgO4XeAiwlWSdTt9o/Zxt3H8s27ZbrlufaWp5L/mmb7dxVq/S5t5LnLrdvzxT61L59alvewnz1mmVb95U4b2m9JctXLd73RPuWQN+Y037T3r3mvk/zz3sW+iqBvpU+32vVPsnzKZHe4nyagd6vSYm+moO+mn/u8uOVRD/Swj1T5y3SU6BPCfS9Oei+6SRT6J6H7jR6d5xYJdPzeIryo8n0e23cF3PQEejn/3+gWAMYgAEYgAEYgAEYgAEYgIGrF3wNTj8BijWAARiAARiAARiAARiAgcfHgCSVhdWtQH/zmz7RAn2rdfuUNp3mn7c8l7hbyXO3dVfl67RvoS45mIlbp89dmn+u5Hkn0C3PlT7fmn++Jcb3jq3aut87/tDU+TTTfEu8pxRftW6fRH/dNDBJ9Emg5+OVPN+aca79nmu+kujTayaBvkqgTzPRW5iv0ugpzx8yB32zdfszab43B70l+lb63Pv+Lk4J9K2Z6KtuFFsyfbpmtEDPOehu445AP///A8UawAAMwAAMwAAMwAAMwAAMXL3ga3D6CVCsAQzAAAzAAAzAAAzAAAw8zjbubpcsaZUCvaXaKmm+NQ895Xi+xyTMu227qgW7E+uS6BboEufeKnku8Sh5rtnnkueegZ7yvOdrZ+v2vbnnRyX5cjb6ak76qo16p8/35qUfec+hTfsyNT+0ce8bDlYC3WvryjXfSpwfTaEfad2+lUqf2rbvJdCPivROo+cM9JVAv5Xl3b79mUy/4Xsh0bONe89A7wS6v2t9c0u3ct9q4X4kgd7XizGB/qY3vpICnQT6+f8XKNYABmAABmAABmAABmAABmDg6omsweknQLEGMAADMAADMAADMAADMPA4BbolusSVJJYF+iTPtxLn/XyL8Zbqfi6P5czzaR66xblnolsW9gx0SXOVZqBbnmsreZoCXfvdvn2afb41C/2QKN+S5tOc9FW6fNXO/chs82km+1Y6fkjWew2mNWuR3u3c91q3d6Lcx1et248K9Jbney3cJ3F+yTz0qaV7yvS9Nu63VXPP/TjFeT62PE+J3gl0C/Schd7ivFu4r77/fePMtL+6scYC/a1v/s++mC3cc6QECfTz/z9QrAEMwAAMwAAMwAAMwAAMwMDVC74Gp58AxRrAAAzAAAzAAAzAAAzAwONloAW627e3RNuSYlP7dgvwnoM+pV619WzzbtuukgSUNM90rcoz0JXOVSl9LnHuBLrleafPt2af78nzS1Pnt8cnUb6XED+SRN9JoOc8c1cf63P/6quv3EueH2nfPm1X7dudSpfU7hbu04zzaeZ5zjbPlPpeG3fL8r027kdT6HsSvQW6hPnLP/LSMok+SXVL8xbn3cI956B3C3fPPM/Z51ML9+n7vxLpLdT3BHqnz5mBfv7/AIo1gAEYgAEYgAEYgAEYgAEYuHqCa3D6CVCsAQzAAAzAAAzAAAzAAAw8XgaUQrdAl9DaS6BP8857a4Gex1qeO12e7dlT8OVxy3NJwKmFu+eee+vW7S4JdInVnn2+kuY997sl+W7yfEqWT2nwreN7dfT1B6T/9Hn25p97/baS51lb6fN+3DPQt9LnW6n0Iwn0SwX6Q+eiW557X4JcW4l01R1x7tbtnUSvFHon0FOeZxv3lOYW6fl9VGUq/egs9L155y3bp/nnCPTz/wdQrAEMwAAMwAAMwAAMwAAMwMDVE1yD00+AYg1gAAZgAAZgAAZgAAZg4PlIoE8CvVPokxRr4Zat2ztx3gI95XlLdbdrd+t2lQSg5Xm2bk95ngl0VaacO32e1XPPV3J9OTO8hfWW7D7a3r2T59P7euvX1fttCf/pc63a1U9z0Fui+3jPQN9q4T61bJ9S6Vut3bfS6Xtp9Jbne7PQM4luaT4J9Kmde1aK89z3HPSef741Bz3leUr0VQq9W7nnbPSt9HlL9aOt2+8l0KN9e84/d+nGnrOvjRRrAAMwAAMwAAMwAAMwAAMwAAPXL+wanH4CFGsAAzAAAzAAAzAAAzAAA8+HQJfQ0mzibuO+16690+cpzJ1Ez9flHPRp3rn2Lc8tzVOke97zlkB3+vzVlz90075d6fMUuv/mH2+3Jm+pvivOV/PMj7Zn3zrWLdxXLeEXyfej89unmwam+fCdPt9KnedNC5M43xLqq1np07EW6dOM9K1Z6Ze0cN9q5z6lzyd5vmrf3vI8559vJdBz/nm2cO8kuqV5dnrwd9OjEyaJvmrlvhLnq24V3cJ9EuiS5wj08/83UKwBDMAADMAADMAADMAADMDA1Qu8BqefAMUawAAMwAAMwAAMwAAMwMDzI9AltiS5UqRN4myS4n0sBV0+vxLokuNOnlucT/Jcj51Ctzy3QFcpfe7W7RboErgp0SdRvkqib7Zrn5Lnl7Zj30qpr6T6KuE+pN8neb4l1FcJ/F6nbuneqfM8Nkn0fLwl1KdU+iTMt9q5byXRO4V+VKKvWrlPs9Cn9Hmm0LNt+7127tXGfUqgu1qgu/S98tYSvVu3+zu5NRd91cr9aEt3p9BToKc81/VIhUA//38DxRrAAAzAAAzAAAzAAAzAAAxcvcBrcPoJUKwBDMAADMAADMAADMAADDwfM9AzgZ4SvUXZlE61kPNrs137lFK3MF8lz1P65fzzTNmqpbXEuSSjZ6D/3AfedZs8dwv3Tp/3zO4jrdxHkf56iPNLakqrr9Loi3T51JZ+dWwly/t4p9AnkT61cW+B3unyo2J9kutH0+eTPJ8keh+bXjOJ9Emie/75NAM9E+h3xHqJ87027lPyPCV6z0HP72l/7/ck+iVt3HsOuq45Kc9JoJ//P4FiDWAABmAABmAABmAABmAABq6ewBqcfgIUawADMAADMAADMAADMAADz5dAl9xSWaJvzUCeUqqZZM3XpahLiZcpdLdt177Ts06md/pcAt0S3aX27UqcW56nQO9W40datz9YoK8S4zq+qiNt3I+m2UOcTynyaX8lyKd1mRLo0/rm/kqeH61JlG9J9UmkdwpdEnxPpq8Eum7UyGPd4n1q6Z4SPcX5Vvv23l+1cM827inQLc7dtj3nok9J9C2JvhrncCR5ngJd1xkL9Gzh7gT62ddFijWAARiAARiAARiAARiAARiAgesXeg1OPwGKNYABGIABGIABGIABGICBxy/QJbEs0F2S6C3SJpG+SqNPs9E78ZrHLM8t1bPltPYtBz373C3cJRcl0pVCV/JcYlNt3CXP3b5dM89T6qb4XbV0PyTRp+T31kzy1WzznnO+kuhHRHr8vq3W69NzW0I9Z59Pz03ifKsmOX5ErHfqfKu1u8rSvFPoKc/9WMxoX1s/tjy3MO+thLl481bi3FuVbuqQPFd3BG9Vq+R5p857BvpWG/cU6Nm9IVu5+/vkmed5E0t/L7eS6Zem0HsGegt02ref//+AYg1gAAZgAAZgAAZgAAZgAAaunsganH4CFGsAAzAAAzAAAzAAAzAAA49boEtcWaBLbKVA7xR6S/FV+nwrnd6vdUt3CT2n01P0eQ66W1S7nD73VqLS8lxbyXOlz1ezz6djK3G+K89XrdRXrdgnaT5J9JU4X4j0r33p8/fOb0+Mr9q576XRJ4F+STL99z77B7PTW6DvifRu9z49TpmeyfNVO3fJch3P7gUu8SRBbmlugZ7yPAW6y48niT7NP79Nmz/bF9tTAn1rDnrOQLdMdwo9RXp2gVhJ82kEwyTOt2ahd00CPeU588/P/79AsQYwAAMwAAMwAAMwAAMwAANXL/ganH4CFGsAAzAAAzAAAzAAAzAAA4+bAc8eVht3Sa0bufVMpEugtzRbSfFs3d4tn1cy3a/Ndu4We24zbQnYCfQU6EqfS1a6UqAfadneIrkfL+X5avb4Ko2+auO+1969Jbr3V+n3YfZ5S/StNu4tz3MNU5qv0uxTGt1ifEqor6T5dGyalb5Ko+/NQE9JPkn0TqFblqdQ7wS6S9J8EuhZUxv3luidOvdW3O+l0DONnu3cs8tDz0P3DTP93c7jR5Lnk0B3Cn2VQEeen///gGINYAAGYAAGYAAGYAAGYAAGrp7AGpx+AhRrAAMwAAMwAAMwAAMwAAPPmUB3vemNr3Qb9yPt2Lvd8548t8zzjGYnz7ONu6VgzkC3PFdJULpSoLuF+54835oBnhL9m5ZE3xPpR+agD+e0uilgdcNAi/FOkU8Jfr+H91et3J043zu21+79aIv3FuidNO+akucp0i3LM23ujgfZuj2luUW6axLoS4keyfPbJPowAz0FurszTPLcN6SkNHfr9pyHPn2vO4m+lULfkuiS57dt3N/8pk9851v+9N/RdQeBfv7/AYo1gAEYgAEYgAEYgAEYgAEYuHpCa3D6CVCsAQzAAAzAAAzAAAzAAAw8H3PQJbIktFyZQk+J1onVlWjbavPeZXmeIt3ST3PRJQK1tSCUPM/0ectzzUKXFL0kgT6lscc27gtZvUylr4T5qp37kddsSPSU/FPyfNW2fdWyXZJ7Jdf9M5lOb3l+dCa6hbqT5w+R6D0fPSW6BXoK895m4rxbuLcwTznu/RbkluT5nPdTnnsrpu+0dT/Qvn2S6KsEutPnLdFToHt/mnveSXQ/18J8EugW59nCHYF+/vWfYg1gAAZgAAZgAAZgAAZgAAaunuAanH4CFGsAAzAAAzAAAzAAAzAAA8/PHPQ7Ar1S6K5JoG8J9Rbr0+MWeTn/3PI8W7k7eS7hOAl0J9D35PnUhnw1H3yV7u79ZRv3Iy3at1q3r/YvSKFf0s59SqdP67Y173xrBvpeCj2P77V1vySFngn0ada55bk5aoluWa6W7J0ulwgXk96qdFyM+rj2tdVxH5MkT6Fuge7kubcp0CeRnm3c95Lo6uzQN6/0GIb8Tq/GMawS6T0HXa/VDTkpz9XCnQT6+f8DKNYABmAABmAABmAABmAABmDg6omtweknQLEGMAADMAADMAADMAADMPD8tHGX0HJZomcKfVXZij1T6pek0bOFu8vi3CLd889dFuhO9qb0dPp8S/xOs71bLK9S3SuZPs4kv2TG+bQ9mkK/UJ6vZp8fEeZba5rzzn3MQnwlzPeS6p1MT6HuxynOJ4mes8573vmUPE95vkqfu1qMZ/m5lOsS5PkaJ9H9OAV5S/StBPok0FOeeyyCv2OdPN+T6FvyvMV5C/ROnyPQz7/2U6wBDMAADMAADMAADMAADMDA1RNcg9NPgGINYAAGYAAGYAAGYAAGYOD5SaErDepKiS7xtSXRO0lukb4Sb9PPWeDlHPQUgJ597q3btzuBnulzSdNJoO8l0A+n0CdhPUnzlOct0rek+pFZ6RcI9NXM8/y8U1q/JfglEr1np6/S6P1zLdhXwv1IAl1dCCTJtyS69jNprtIIALPUyfOeZ55yPEcLeGtWLc297+clvv2c6/bxs9btLc9X+5dI9LxRZTVWob+rkzjPuedT+nxq426JjkA//9pPsQYwAAMwAAMwAAMwAAMwAANXT3ANTj8BijWAARiAARiAARiAARiAgecrhT5J9CmFnq3cu637qn37lDzPxHq2cbf4cwrd8jxnoGf63AJ9lT6fWo0fnYlu0XwrpyWxh3bpX331lfUM9Ie0cZ+E+yTlB4E+Jcm3PuMqkb4lyf0zq0R5C/WU4nm8H69+Zk+k6+9uge6tpLlFurerhHlXivOcX+7EecpujxXI0nN904fktvddNyI8xfmzWgnzVRJd752z0FOir1LoebNLjlBomd5J8xTpR2ag35PozEA//ZpPsQYwAAMwAAMwAAMwAAMwAANXT3QNTj8BijWAARiAARiAARiAARiAgedvFrrKEr0Fes5LTnk+SfRpZnKL9amFuxPnTqGnCHTrdid4lf61QFcLbsvzI4J8NQO95fnUtl2yXPW7v/r7P6dty/Ovfenzf/D4IfJ8L6Wer1u0mj8iyI+I9oek0DNVPknxlTSfxHs+3puHLlHuBLq2U1v2afZ5ivPcz7bs7nrgShHeYjyPm+Hc76T6ndnnMQN9kudHJHon0f19WqXQ/R2cJHp+p4/MPe8Z6FlOoevawgz086/9FGsAAzAAAzAAAzAAAzAAAzBw9cTW4PQToFgDGIABGIABGIABGIABGHi+JLpS6CnRb2aiVwJ9kuZ9LFu3byXRvXUi1nLPyfMUgBaQmfiV3LQA7fT5UTE8SfMW0n5sae76N//4H9yUhbpK4lx1m0i/RKBvtYDfad/e570l0FdrY9nt7dZccx2b3ndq4b6VMN97vs9lSp67bbuT5ynRs2X73mzzluct0PPmjUyaW4I7Yd6l581vvs6jCPzz+d6ZQlfdptUPSPQW6Kskum9ayRtYVjfE9Pd6S6ZPpWtItnFHoJ9/zadYAxiAARiAARiAARiAARiAgasnuAannwDFGsAADMAADMAADMAADMDA88WABLpLEl0CXbJrSqDnNo+v0uZb7dwl7iTRnYxdyfOUlqps3a723JPoPZqinhLn3pcstzyXsJWYVVmgp1T3a1OojxJ9a8b5JMsn0T60kl8l0FNET7PQJ/nt1umrhLjT993SfauFeyfUV6nzLQnvdu3Ztt0i3duce97ifBLo7mSQ5ZnnTpynLE8hbjYzYZ6jB1Ki+7EFd0r4Lt8skgJ9qzqBniJ9moee8lyPp/R5fo9Xgnyaez5J9pVA1807Z1/7KNYABmAABmAABmAABmAABmAABq6fxBqcfgIUawADMAADMAADMAADMAADz+csdAt0CS7JLkkvSTYJsBTmLsnvFOidRu+27f2aTJ+rXnrb990KP4vIFJUSjhaeFqPT7PMtmb5KZbd4VkmSW5y/+vKHbkqPLdBbpFu2ZyK9654sb2m+97haxd+K+p30+Vbb+q3W7NMM8klyax3yZ3J+eb7PlCzv5/O43jfT8Jk+dxrdSfQteb6ad56iPGuS2ynJU0r3jR8eR9BJ8Eyq70r0d33vPYm+JdMfItFTnPs7nTe4dAK9Z6GnWO/27XqNrhve6nqiGei6OUfXGF1zEOjnX/sp1gAGYAAGYAAGYAAGYAAGYODqiazB6SdAsQYwAAMwAAMwAAMwAAMw8PwKdEt0z0GXRHe1PLdA72T5lECfBLrT597mvOacHW05qLba/+TvvPs2Tazq9PkkZqe0+UogS35r67S55bm2ErcW6N53tUD3fgv2O6nyHVF+R7hH+vx2zvqzysdOzq+S6P3Zez1SYE8t1Vdt2FOMH5HwK2nuspDPY5k8d6v2I8nzluadPp8kusR2ym7d3KHtD7/jL91KaY0cyES3+XX1/PPp2DQ73fsrab5q4z4J9CMSPW9m0Vbf05Tp/r5utW3Px9m2XVtdRyzPc/752dc9ijWAARiAARiAARiAARiAARiAgesnswannwDFGsAADMAADMAADMAADMDA8yvRvb1Job/5TZ+4SY6+6Y2vSIKlNF8l0Pfat6sy/Sqp1/Kx50ZLDL78I3fT55p/7vbtU1vwo5Xy2NI75Xm2brdIz8eSstrPNu8W6t3W3cn0KaF+Sfp8q5X7JMUtxlfP7d14MLVen9Z7Net8JeFXsj4lurd+bbds13qLA23d0n9r1nm3aPd2mnNuBiXNU6ZbqKeUtkzX9yHleqbTO8He7eC740LPQT/a1n2S6JNAnyS6vtM+lrPPV6nzSaY7de4bb3Qdcet23ZxD+/bzr/cUawADMAADMAADMAADMAADMHD1xNbg9BOgWAMYgAEYgAEYgAEYgAEYeL4YcCtlyXOXU+iW6BLok0TvWqXPpwR6ps9Xra8lEzUTWgLd6XPJcwv0lfSdpPCUjk7pLCnrNu1Omv/mZz/179y+PaW5K5/z8/o5y/hMprss0Vci/Y5UHx63ML/Zf/a61fzzvFlgJcf7uSl1nscy/b9KnE8J9K3W8G7Jn63bs22+b1JIeb5KnrcwXyXNOwVuYe6tOXT63Gn0Vao7bwbpVLrfzwLd79Uy3aJ8EulTCr0fvxaJ3qMYslap8y2J3rPPSZ+ff82nWAMYgAEYgAEYgAEYgAEYgIGrJ7YGp58AxRrAAAzAAAzAAAzAAAzAwPMt051CV8vllUC3RO/tljx3+lyvc/rcIn2aJ53y3Olzt2//rb//gbF9+yTSJ4HrcrtzydmW5xK0KcktZX0sJbpT6CpJ96lyZrq3KdNXSXW3afe+jlucdzv3TpdPc8dTgm+t0Z7s3qr8HVPS3H8772fCPNu1Z+I8U+cp0Kd27Z00d8I8q9PmkzjvtHmWU+ZZTnCv5qDrObOdMrsluuelrwT69Hhq7b5q597fOW1ToKdUTymeEr2leZdbuVug5/zzs69zFGsAAzAAAzAAAzAAAzAAAzAAA9dPag1OPwGKNYABGIABGIABGIABGICB51eeW6CrlBi9SaGHQFeiNKV5C/SpjXu3eFdJPk6zo3XcMlGSU/Jcs8+zfbtKAvWIPJ/S0pLMTjln6/VuzW5ZnmnmlOmdQPfxfNzPqyTTLelzXnom1jOVno8tzW+T5yHOLdYzbZ6iem+m+ZY4X4n0bqG/JeX1O/N8Uqx38rxbtefc82zZrk4EK3kublbt2SdxnmnzTodnZQK9E+Y+lhLd4trvmzeK9HtM4wtaou+1cL8kie4bWSz3nT7P7/JKoFuiq/J47vcMdFq4n3+dp1gDGIABGIABGIABGIABGICBqye4BqefAMUawAAMwAAMwAAMwAAMwMDzy0C2cW+BLrmdCfQW6S3fWp5L0Gk/5yxnArfT55Kgn/3vf/BGhGorMarkec4+X1VK306qdxK855ynMF/J827bnsn0npmeP5O/26n0FOp+LlPoOUvdwtzHJcq9tUTPFuwtr1uoT+nwluurlu1bqfLp57yflcf3Uuc559z7Kc1bnuvmCwl0dTFYtWhPsd0t2lfHJmHeErwF9STiU9r3e2YCPs991cp9Sp/vpdCndu7uDpE3u3RXCdXUvt3POXnu9PlNPRPotHE//xpPsQYwAAMwAAMwAAMwAAMwAANXT3ANTj8BijWAARiAARiAARiAARiAgeeXASfQtVVatNu4O4G+lT7vmeedPrds9/xzlURlJnCVGLYItTx38vyIQE95a1HrdHPOKE8B3oI8KxPnFrst11uc52Mfy5bu/TsynZ7VM9VV/hxOm6dM900CluP+/L19Parfa/Xe+XdoWZ5blVu0pzzfmnP+f3/wfXfEeSbOvc354l2W5C3NL6kW6i3SVzeJtETP98rXtUTXTQGW6SnPVyJ9lULvxLxvdPE4Bn9/e775qn17S/Rs3y557gQ6bdzPv9ZTrAEMwAAMwAAMwAAMwAAMwMDVE1qD00+AYg1gAAZgAAZgAAZgAAZg4PllIFu4ew56t3HvJLrleSfPc99CLhOuOQvdIs+JW4lQl+SoWnW7jfdq9vkk0Dv1bBktOSthnbPVpzbumW620LZw189m6nyVVN9qCZ/y3Un4fOxUupPyPuaW557jbmmeKfts4Z7brbbue6I8k+wpvftYr7v/btPWwrwfr8R5Js8lzz3rvOebZ9v2nmmectrb9Ci2DQAAIABJREFUbtmerdpTaLfozuec8PZ+zjrvJLp5d7v2FvK5zXnouZUwT4l+SRJ9JdHdRcIdI6bW7dm+fTUDXTfbdPLc8lzXmbOvdRRrAAMwAAMwAAMwAAMwAAMwAAPXT2YNTj8BijWAARiAARiAARiAARiAgeebAcstya7bNu6LFLpl2yTPp3K61a+3RLRglNhT222137YYlSSVSM1Z2JcIdKeZLZVTnFtYp5jWY51DyvWptfsqpZ6txL116X1Vft0nPvrhm98j2ZuCveent1B3At3llu2W51MifCW5jyTLe4b5SpxPx3qOec4zz8f+G2u7Eufdtt3r2snzTne3HG+hPrVZb4mdYtxl+Z3zynvG+tQ6fZLoeU5u456CXzXNRF9J9Emq77Vyz/EK+Z1ezT+f9j37PAV6zj5Hnp9/jadYAxiAARiAARiAARiAARiAgasntgannwDFGsAADMAADMAADMAADMDA882ABZeSom7jnin0LYE+VabQLee0VWWba+1LgGbyXO3blT63XD2SPs8Z3E41Wz5nu3bLWM8mz3R5i/JOi1vg5pzzlOy6AcCfwaJX4rxFr8rHnWhPQezzzHR8CnVt9VmdTvf+Vqt0rYdluF+bCfSpLXu+9og8n5LnKc4tyVuWe19/897muni9fPOB55x3mrvnkk+1157dorznkN9I62e/139TPfax3lpgt5RviZ6v0c/5sZ/P82iJ3sJ8SqTvzULv77LF+VYSvY+1QKdt+/nXdYo1gAEYgAEYgAEYgAEYgAEYuHrCa3D6CVCsAQzAAAzAAAzAAAzAAAy8OAxcItA7fd4iLlPnbhed6XMJwBTP/+TvvPsmfW6BnGI2Jfkk0C3PVZKy+nm9j2V5ivRsnZ7y3Glxi22/bkqfdyq9E9IpWC1c/f4uv0b7Uxo95XoK55wZPs0U33uc8+EvTZenJLecz+OeV99J80yb63P81t//wI0kT2Gu0t/f8lz7YkJ8iBOV1ktSuJPeW8J8Jc/9s93qvIV5l8/F5+Pj2u/jk7zOFu/dyt0jDVqwtxS3RM/UedZKoPecdn2n/f3MGehbrdwnoT4l0Jl7fv71nGINYAAGYAAGYAAGYAAGYAAGrp7oGpx+AhRrAAMwAAMwAAMwAAMwAAMvThLdc9C7hbsleqfPV4l0t27XvttEdzrY8rhnn1vCZjr6SALd7dslZ/UelueSsZLaTnJbVqc4t/R0K/meY56i3ZI8Bbfbt+fz3td76ndkq++U5ynaM52eUr1leqbStUbZHj1ld7ZTbxG+Sqsfkear8nlY9HfqfEqcW5hrm+vs9bNA9xr1jPMW5FvifGrHnlL6Vk6XFPdW5+K/UYv0fM4dBzKhnufQ5+XPkzPQc176Xjv3VQv3VSv3TKBbovummKksy1dCHYF+/vWbYg1gAAZgAAZgAAZgAAZgAAZg4BqBDgRcCGAABmAABmAABmAABmDg9WUgW7inQM8UespybadjUxrd6XOLQwnBTOxKlDpl7ZnnXXvyPNu3W9RaQjtJbhluOZoztdU+PoV5ivB8n0ygd3VKPVuOW5pvJdMtaad56v6dOR88xXRWzxhv0b3Vfr1bsVuk3/xdPvaRW4meMt3iXM9vtWy3MG9xrrS5yp0IWpy7nD5fpc73WrOnML9NbFfC/H9/3399R477b7JXeSNG3hyS7ftT3ufn6IT4lJBvyT8lzy9NoXu0gjtMPCSBrrpJn7/pja/Qwp3/y/xfhgEYgAEYgAEYgAEYgAEYgIGrR7AGp58AxRrAAAzAAAzAAAzAAAzAwIvBwL0Z6JVCn2R5SvQ8lkn0nH1uOZjpXElGi+EUvEcS6Nne3T+XM8vdyt3t21UpxVei3D+Tbd9dv/urv3iTbM/55P1+Tp1bAFuqpnBNke51cLW47US6hbRldUv1FOlTQnyvsg17Jty7PbuFurY573xKn7ttu2W5992uveV5C/RJBG9J597eE+dVEueW55Mg93nlTRe57/NtmZ5//07R97zzSfxnu/qpjfvtd2khz1fr1jPQczTD0RS69jN9ruvGd33X91ypk4U6Wpx9TaNYAxiAARiAARiAARiAARiAARi4fpJrcPoJUKwBDMAADMAADMAADMAADDz/DEh2WaBLgKVEzxR6tmz/ge/5s2MCvVu8T+nznDHtdugpaY+mz/XanH+eMtv7Tppbnvec8Zw37uP6WUlylQTxb372U/9OWx+TRFf1nHQn1DPtPsnWbP1tSex0dc9It3h3Un9q754CPSV67k8SPY+3HO/q9u05j70T5ynNp+S5JbqEuSr3e30897wFsh7/5FvecE+Qr+rOvPAQzhbnKc/VjcBbldfdgr9vvkjBPt0AkZ/F5RT5JM677Xy2bu/PlJ+lZ6NPEj0T+x6v4O/rljjfEui60UbXC103JM91LUGgn39dp1gDGIABGIABGIABGIABGICBqye6BqefAMUawAAMwAAMwAAMwAAMwMCLM/9cAj0lugV6J9At0Ldmoqsk5yTQUwj2HHCJSKfPLcJTnE8CvQV7Js+zZXvKc/+eFuaZJLcktyB3ffXVV+7Icz1OiT5Vpt9Xs9T/z//2L96RrBaglq8t2nXMP6OtBa/Ert7Tye6U15boU2v1vST6lFjP1vCrGeeTPM827dr6vFX+HLkWEtpObG/N857S2S3c78jzEOf6PVpHr7PX1PI8xbnX2NsU6vnaKZne7d07iZ6VEj0T6qv555M4n1q4e9ut73vcggX5EYk+zT63QD/7mkaxBjAAAzAAAzAAAzAAAzAAAzBw/WTX4PQToFgDGIABGIABGIABGIABGHhxEuiSX6o7KfRo454t27N1+yTQPVtZol3S7qW3fd+tJLQ4dPt2S9kU6CnLJ3neIt3C2oI8W7Bn6TWW5xbdmTxvif61L33+plKaaz8fW647se73TZHeaXFJZQvZFrA38vhZunhqKW6JnvLZYtdzxb2uU2t3ye2jrd6dPO/XrhLnFudu2W55bnGeaXOfu6V1yuxOUqc4T2m+Sp9/9G3f+XVvU5pn6ly/z5Xnkms6CfNJnPtYdhno7ZRE940TPSM95XnPQL+R5M+6FkxJ9CmBPgn0bOHeAn1PordAd+t20ufnX88p1gAGYAAGYAAGYAAGYAAGYODqia/B6SdAsQYwAAMwAAMwAAMwAAMw8GIwIPFliT61cZcoyyT6NPu856K7fbvk+ZRAdypcwtbyfJVC70T6JM+7hbqleCfP3eI9E+MpwbMsy7tapPfP5Xv6HLI8+zvnf1vaaiupm8JXEjYT0PkzFrn5fMprbVNs7yXR96R6y/isVbv2/qwW0P6sKZlvbyAYktSWyRbke23bO3XudV1J9BbkPpbi30J9ev0qhZ5z76dttnVPiZ77KdGdPL8j0J9J9Pzs0xx0d4TQ9zPlebZxX0n0fG4S6LRuP/9aTrEGMAADMAADMAADMAADMAADV098DU4/AYo1gAEYgAEYgAEYgAEYgIEXs5W7BXqn0HsW+qqcQJc8t7CTCLQoVFtrC3TJ5mzHPrVvnyS65LSEruW5W7dn8nxq174S550wz5S5jzuNPkn0bu/eLd7dRr1l+iSaLWtVTmanjO1W4ylzLak9X7xbu1uiT/PQW55Pj51ob3He8879e/duFLA0b3luASxZ3uK8j/XPtDifhPkqeZ7iPDsEtCjfes5/n56F3q3cW6A7Wd4SvZP2mTpfpdCnJHq2iHcKfRLoLcyn4wj086/ZFGsAAzAAAzAAAzAAAzAAAzAAA9f31oBF4YsBAzAAAzAAAzAAAzAAAzDwTRHoTqF7Frokes9C137PRtdjyXPvZwrd6XOJvmyxngI9q2efdwJdst3paJXFbcp0Vc8nX0nzTJJP7dpXafSvf/Fz98S5BX8m0jO9nRJ6ks1b7c4tf1MIW9SmeE953pVt3XvW+WrO+apl+1bq3K3b+3PkvPGU5z23PFuypzzvVu1bs85bnm9J86OVAt03BHTiPGtLpHvf349s1W6Jrm3OQL8z//yZOM9jvR6ZQk95rhELluiS4t3GfZp9fkeev+mNr5BA5/8w/4dhAAZgAAZgAAZgAAZgAAZg4OoRrcHpJ0CxBjAAAzAAAzAAAzAAAzDwYjHgNu6W6Cqn0FugS75ZordI93OegZ6zz5U+l2yU3HYifE+eT2l0/ZyFrqVwtkvvtHnPJ8827f/+n84t2VOuT6/rbUrzTNVboHeSeyWgLcDzsY9NUj3Fuipf32J7kuhZTsqvjvvnpvPP98/z7XbtKf5vZp4P6WmV0+WXtGpvcX5k3nmuX0v+ntWeEj3btvv5SZ53pTxvgd4z37dauPvz5n4fy/fs9LnKN71YoHcr96mte8pzXR9o4X7+tZtiDWAABmAABmAABmAABmAABmDg+mYNWAi+DDAAAzAAAzAAAzAAAzAAA697Ct0S3fPQJ4Ge4jzLrdudbE2Bbonu9u0t0Hv2+Sp57n2JaKfQe855tnWX7J3mnPuY3k9bvWfKcD+2NNe2U+lOmnfy3ILf8jwluhPfOUc80+ir+eEtzieRngn0KYWeM9H9+7Kl+5Q+z/Nzbcn/1TlbSGeC3rVqv+7HFulOnE+vncS55fkRad7t3fN4/0yn6H1jQFd2B0hZ3u3bfcyJckvvlOeZQrdMv73xYEihT3PQs4X7lkBXtTz3NtPnlue64UbXDWag8z+Z/8kwAAMwAAMwAAMwAAMwAAMwcHXyGpx+AhRrAAMwAAMwAAMwAAMwAAMvJgOW6LcC/c1v+oTnoLc0n4S6hJwlumSd0+cShZbnmRLfkudTCj1npes9JM+n1HkL85bl/dj7KgtzH5vEurf+GT+fKXmdq6uT6C3SW2zvzUffkudTCj3f10n9TJW7pnPrc0yBrp/v88yZ5y2ob+edL5LnKcdX+5ckzyf5/c0oi3Ol0n2TQAr0lOcW6CnS8zmLdMv0bO1+J3Fe8nxKoa8Eur6nrp6B3qnzrBuBrmvCW97yV5w+1zXj7OsWxRrAAAzAAAzAAAzAAAzAAAzAwPWTX4MnvwB8CfgSwAAMwAAMwAAMwAAMwMA3N4muZKkkmVPokugrke6SOLc89wx0J9BToDuBvpU+79btnULX1uLc7yHhLfmbAj0FebZY9zbld84vz8d5Xj07PYV8n6dF+iTNO+k91Srl3Wn0TkuvJHruW4ynJJ9Euitnt2t/dW5H5PmWQO8W7t7uSfOeDb/Xut3nuGqLvyXbewZ9brNVvZPnen3OPG95ngL9Nl1eIj2F+h1pnkn0xUx0VcrzlOjduj1nobdQv02gl0Anfc7/Y/4fwwAMwAAMwAAMwAAMwAAMwMDVI1iD00+AYg1gAAZgAAZgAAZgAAZg4MVkwDLMKXSJMgkzS/Sef25xrq1bt7tyBrokoeefp0Dfmn/eJZnt1LfbjqeodvnxJM2z1XqL+m7F3r/fzzuB3ueWnyPT5ymlt5Ld2WJ9EuidSl8lz7OFe+673IY90+cp+N1uvqX6agb6qnW754N36/Yj6fO9tHkK9D15Pq1Bzmmf2uS3MN+S9d534twSveefW6Q7ne4Z8JNEb2meUrwlewv03E5z0C3R9R1Ngb5KoqdA1zUgBTrt28+/ZlOsAQzAAAzAAAzAAAzAAAzAAAxc36wBC8GXAQZgAAZgAAZgAAZgAAZg4Jsq0VVTCn0S6Jk+t0i3pJvmnzs5nknwoxJd8tqpbifYLXzdNj2T55bbU2t3/86W3963AN87z06ca7tq1Z77PZM826xPj1cCeCWDVav0eZ6LZ7PnnHafd4v0aQb6Vov5TGT33POjonxLnK/keYrzTswfbY2/kuhbLeNTlue+H1uid8v2no/eafQU5/cE+iKF3gn0FOj6nmpf25x/3gI9SwLd8891XWD+Of+H+T8MAzAAAzAAAzAAAzAAAzAAA1ePaA1OPwGKNYABGIABGIABGIABGICBF58BCbK9WeiWcZbomUKfEuiS6CnQL5HnltUptS15Ja69tSB3u/VMiFtwpxTXNhPjWRLJ0+OW7NPPbc05b6k9CfMjKfRVTa/P90yBnuK8H3cafWrhvte+PducpxTfE+RHZpxvifM8R924sboRYSXMp/R5n9uUTJ+k+W3y/r3Xd/ZX8vyOZE85vmj1Pr4u2rhnAj1buP+Xb/6T98R5Ps5W7jft258JdOafn399plgDGIABGIABGIABGIABGIABGLi+swYsCF8KGIABGIABGIABGIABGICBbyoDSqC7jXsK9E6h975Lku6lt33fnRnoTqG/+vKHbkV2p7+PtHGf5otbnlua5yzznoee7+PjKcN7/neL89XrunrO+UqAT4K80+JbIn1LxmdJfDtBvpp5bnG+aj2f7d9TTm8l0Hv++ZTmfog478f6fToPdznwuvR5+WezdXzXkXT8lEhffc6W6CnSt2ai70rySaZH+3YLdH0HM4GusjzXdpU6t0y/nX9eAp355/wv5n8xDMAADMAADMAADMAADMAADFw9kjU4/QQo1gAGYAAGYAAGYAAGYAAGXmwGNNt4NQe9U+gp0rdmoEuge/65hfelKfSU55K83vpnO3VuUZ6p8an8Pkck+iTL+/3zfVKg76XGJxG+l0hv8a5tSvNuHZ+t2y3I82aELAv1TKFnG/epHfqURO9Z4Ba9R1q6pzx3mj3Lv1NsOWmuc1HreP2cE9gpj5W+zupjHkEghvWzFusffdt3fr0Fewv+bOHurYV5SnTPQx9T5wtJPibPV6+PBLq+h7kG+q7qc+61b0+B3vPPdX04+zpFsQYwAAMwAAMwAAMwAAMwAAMwAANXz9YAGIABBmAABmAABmAABmAABmDgW5JAvzMH/ZlE7xbunUJX8nxLoLuFe6fQLciPCPQU334fC/ROn3cLd8tt/9yRNHm2cm9hnufXCfdOpLd4zhnmq0T6NHO85fX0My3NfR5e/745oG8UmG4a8Hv69zvpLYGdn0ft+iXPPf88U+M3QnmR5N5Ln/vnM3We8ly/W89LGksWSxJLAP/RP/KH75Rak7s9uRLYYtbcqpzOVlmoi+dMqbdM30qeb7Vxtzi3TN9LoR+V6H5ttnD3DQROoHcL90mk65humkmB7vnnXIf5XwwDMAADMAADMAADMAADMAADMHD1SNbg9BOgWAMYgAEYgAEYgAEYgAEYePEFugSZ56CnRLcsl1TL5Lm3Epfa/vA7/tJtG2mVpOoqgX6kfXsK8WmOec4+n1q4Z/v3TolfItH7fKeEuxPdltdHJPhKiOfc8iPt21OYd4v2/qyZ4M9Ev8/f206gTwl4J88zgZ7yfGpv/lpmnqc81xromESx5LCkrwW5ZfkqZa3nLNHFrEuPUzI7nS6+M5U+tX2/055+SJ8fqc1W7hcIdNXUwv1IAt0C/TaBzgz006/NFGsAAzAAAzAAAzAAAzAAAzAAA9fjGrAwfDlgAAZgAAZgAAZgAAZgAAa+pW3ccxa6W7hbmmcK3dtpBrplp2agS8im5E4ZPYnzf/9Pfz/ZbVmeqfN+jxbnU8v2o/Lc8tmv2WrPnnJ7EsiWvqopeT4J9H5vPd57/TTbPIX5kZb2vU75ef2Zpznomaz353cKPdu3P0Se+3281e/Q79WNGfo5J859g4cluh8reb6SxBbFKdHf/yN/8zaVnu+p1zqR3iJ9TNaXQO/tJM4zhb47F31HujuFngLd39tJoOeNBz6mdV21cdd1glno/E/mfzIMwAAMwAAMwAAMwAAMwAAMXJ28BqefAMUawAAMwAAMwAAMwAAMwMDTauOes9Al0aZZ6BZz2cY9BbpauFuiS+ROrdZX8jwFeqbW3TLd26lt+ySDV/POM7k9yfRswa6tJK5krqRptsq2qJxmbXu+tuWrJfEk1Lfmna9S6JNAnz5/p/i7G0Cm+zNV7zR6SnT//mn+eSfQbyRzSuWee/7suWzV3q3gJc31u5w69/pafluei8MPfvR/uynxmFLY0jjlsdLm+vn/6ad+6usqSXQ9dmt3/Q69xlJZf8tDaXQL7Wefb6uVe+4fEef92vwZz0LvGeg6d7eqzzXI9ek18udFop9/baZYAxiAARiAARiAARiAARiAARi4vrcGLApfDBiAARiAARiAARiAARiAgW+JQM8UugW62jhLoqU8z7JAl6zzHPScga4EugW6Be2eOM/9nDfu4z17fC95fnT2uUVxzve2NM852xKLnqMtKbmaud3HVW4Lbpm+NxN9q/W7zjVT6NMM916HTvnnzQhuh+/18+z0bueuv2um7z0HvVPj3cb9njx/JpxX8lzPuXW7josvy3PJ7k989MNft0CXAJc4/7uf/MxN6Xmtd7crzxscnELX+6gs0i3m/ff2a/2377bu0w0BK4mu74Y+r0r7nUz3Yz/XUn06NiXQ3cbdN7r4ZoAjbdzzhgG9x4fe8ee+oFJXikyic13mfzMMwAAMwAAMwAAMwAAMwAAMwMDVSWsAfMAHAzAAAzAAAzAAAzAAAzDwqAS606zat0h27Qn0To6nKJ8EugVvy/P8uZ5HPon0PXHuhHmmqSUiJREtFCVVbz7bM+Gqx1oH30Rg8ap1yTncKSw9g9s3HEjEZiJ9mnO+auPeEr3leafPcx1zPftYSnSvnZPokugW6T7nXLcU4CnQJ3k+pc9Tnuu9nDzPmxckx3/2//jUjSj/jrd83408/8TPv3JzzAn0/+aHf+xeG/ecba6/kRm++flnf9Ob+sB7btPomeI+LNEtzQeh7s9rgZ4i3fs+vkqarwS6Z6C3QL90Bnp+TjNqif6pH3vXT1mi08qd/838b4YBGIABGIABGIABGIABGICBKwQ6EHAhgAEYgAEYgAEYgAEYgIGnJNA9B90CXXORnWi1SHdlAl0Szy3cLdAzKb6aeZ7br776yj3J62OZmr5k/nlL80ycWwD/w5f+/I0wtHTUVp9JYlWC9lc+98pNSbpKNEqyTunlbpftrd5TW6+VtirJ1pToR1PoOQu9k+f5+Sd57mNf/+Lnbsrrmzcl6G+XM9Elz71m+vtmCr0l+r1Z4IsEutva589pO8lzsaW/w6v/7J/dinLJc5ek+n/30//rN/6L/+ov3iTQs1W538MjCPQ3UjnNnkl0HdPvsoTONLql9E++5Q03ZZG+JdFX8tw3GbRMzxR6i3PL9Wm2uiV6J9CdPvc2pXm3up9uEtDnsETXtUGjHkihn3/dplgDGIABGIABGIABGIABGICBqye6BqefAMUawAAMwAAMwAAMwAAMwMDTYGBrDnom0J3ctTz3DPQtgb6S6JM8nyRvivRuPd5zvFez0FOgO7nd8jxFqfZT2Kr+v9/+7RuB7lnZEq6StiletdWauIW4pbnf1/O39VpJUctOyUqdxyTRW5xn6/cW6F7fvlmh11PS/Gtf+vytQO+Uf0r01Wx4z0Hv9P5u+/YSypLnmV73Z8y27drXOvtv4XXW1q3bc+3dSr8FetZKoItfi2in0DON7sct0e+I9BLokzyf0ugpzvN5S3TXKpGeCXSfs28W6Bs6UqZnQt03xPSNAZlCR6Cff82mWAMYgAEYgAEYgAEYgAEYgIGrJ7oGp58AxRrAAAzAAAzAAAzAAAzAwNNu426B/qe+4098eZU+l7ScZqCr9Xe3VW+529I85blS0Sl3u337SpyvWrd38twzzj/6tu+8SSWnZHW7dotzlwS61sDpc7cTzyS6JKQFerYOz3baN8n2ELWSsG7pfkSiZwJ9mn0+zZjPsjjP6vnzKdG7hXvOQXfy3ALdcvyePK80tpPnmV7355K8zXXLmxn0d9B6+2YEjxDQa3sO/STQxaxvBmmBrr/JSqD3/iUS3UnzvHFgEuqdQs/XWKpPrd17Dro7KXgGerdwb3me8+H1uW4+x3uvb/4m+gz6juiYJPqnf+Ld79B14uxrFsUawAAMwAAMwAAMwAAMwAAMwMD1k1yD00+AYg1gAAZgAAZgAAZgAAZg4OkJdKXQb9u4v+mNr6Q8l5STOLdIt7zsBHrOQLdEn9q3t9RdCfWe3d3v1XPQLdC1TXGe4lepc8nPbsutz6B0tWR5ynOVJK4koxPoeuxSW3GJ9ZS43RbbEv1GwD+TtRKhlp76/RKoKdFbnH/hr7592cJ9WmfVJMy//lu/fr8WafROoOc6dgL9TvrcEnlIn/tn/B7+THqPlOdi6xf+h/d+4zc/+6l/5wS61tty2Mn+FMOdPu+/gVm+I9A/8J57CXQnubWvv5Ee629keZ4i3TdB3Gvp/uwzd+reNxmsEukpzKeUem5ToOd4gE6gT7PQm1F3RLg5h3d9781nk0BXSaD/hb/y4+9nDvr512yKNYABGIABGIABGIABGIABGLh6omtw+glQrAEMwAAMwAAMwAAMwAAMPB0GUqArhW6BbmGe6XPtu317tnB3sloC2gn0ldhdtWufpLolcCfQU56vWren+JWolYC2PLdAT0koWSv53+lzC/Q7Ejxaf7c83xLoWrsbgf5M3Ep8WsBaou+1cPfzWwI913Apzn/nN+5J9JyLnjckTAn0noGeLdxX6XMnz/05tNV7a+vW7V4zCWl3A9A5aetW+pmcbpnex7t9u7i9EebRut03NLRAv0lf19+oy8+JoRboLclTok8J9JbmKc+PJNB93pm2n1Lo2SXhztzzZ3+r/HwW6GrjrmuEbro5+5pFsQYwAAMwAAMwAAMwAAMwAAMwcP3k1uD0E6BYAxiAARiAARiAARiAARh4GgxIhnUb9xbomT538twCXbJRQjMT6N3CfUpGbyXNp0S6jnUr91X63OI85bnEuURgy08f0/OS50o7S5hLLmv7la9+5U4C3SI89y3N/9gf/5O3+1P6WY+1XhL1qpS2kpc+FyWx8/wtrHUDQEr0Fuhe63st20OOj+lzP/9bv34rz6cEep9PyvNpBvqtSH8mkv063WThtvCuTp9bXosnJ9A1u11bt3FveT5J9U6f5w0QN3+DkOjZEaDT5Vs1ptBrBnqKc8+QxlIEAAAgAElEQVR+3xPqK8F+m/AfBPo0B31Kn/fNBTp3/87+fiDQz79OU6wBDMAADMAADMAADMAADMDAFWuAQAcCLgQwAAMwAAMwAAMwAAMw8K2V6C3QNQO9W7bnDHRJNx1z+rxbuHtG+STPL02hT3O6ewb6lDx32/OU5xaCFtV6jZ63+Ff7conalOiegS4p2RLdlenznis9CfRbgfuB93zdEtTnqZKgzs8xJdD1WXvOfK7lsnW7kueukOed9Pe6+jycQl8J9Emee1/P67X6zF5rcaKt3lcCN4W3edJr9DdxC3dLdEnwLYnuv0Omz90BwOnzbOHuGxlSiHu2uaX6JM219c0PufVnb4Ge8nwS50dS6S3PLdCdns8Z7lML9+lGBX0WnbP2p5tMSKDzP5n/yTAAAzAAAzAAAzAAAzAAAzBwdfIanH4CFGsAAzAAAzAAAzAAAzAAA0+HAclzldozf/on3v0OybJMsaY0n+agS2ZOLdxXCfQtaT7J80mgdwp9T55n6ZievznHj33k5nU+Zwt0S3RvJW01N3sl0C1vU1BaoPv12mqNMoGucnJb5+XS+eUM92x5nvLcazC1b99s3d5VAn1a02wr3/PPXS3RLc/dut3pc623S+/l9fJ8cb3e66QEuv8OeUPDJNFX7ds9vz5nn2f79uwCkG3YfTzbtPd+SvM7c9Arge516JpS6ZNET4G+auNuga7vpT7zSqB7Xdy+Peeek0A//5pMsQYwAAMwAAMwAAMwAAMwAAMwcH1vDVgUvhgwAAMwAAMwAAMwAAMwAAPf8vS55LnmHEugZyvolOcuHZek02s8Bz0T6BboD02dtzzvtu49A92yt+V5l467/bnKAl2lc1YL86wU6W7jfrRS3jp9ngLdJXGqc9O+zkHn/6/+9t+42eoz+XPl7HO9bq8t/m7yfCHQL23hnvK827hbHDuB7hssxIg/m15jed4CWz+n3+X2+k6iq/T3WM1D77oze/5Z6tzJ8zviWzI6xHnXJNIzrd7vlbPfs7Zk+iTRLeMtz3Mm+iTQ9Z3MGegp0jN97gT6lDxftXDX9YLrM/+jYQAGYAAGYAAGYAAGYAAGYAAGrr7FawB0QAcDMAADMAADMAADMAADMPAtE+g/++nPfLvT55/862//jGSZZFwK9C4JSUt0S7tJoLtamq/2J2HeKXT/jNLifv+UzJM89/zwlOc6R6fQJaz187/32d9/X5UF+lYKfUqjTwJdayXhaWkukayyNJWk1NpZoPsz6DyzjbpKn1Ut7Fc3JdxLn2+J9BToixS618sCfyuBPol0y3P9TCfQ9b56jWSttn6NtlnZut6M3Qj1lz90s679d3AyXet+M/P82Y0Ld8T5M/HsmeK3s8WfSfBsyd77lunduj0T6FMLd7e89/aoRLc4936K9G7j7pta3MLdnRFyX8/pNZ59jkDnfy7/c2EABmAABmAABmAABmAABmDg6pGvweknQLEGMAADMAADMAADMAADMPB0BHqmzyXQf+Zv/eUvS8g5yapKce4EurZOnx9t4d7Ct0X5OLs7qn9eNaXPu3Tc8tnyVueon5U0l0R3OYmeM9At0SVt9VklaHO+dgr1lrme6e225Lm1dJYs976FsY5JGKfE1mfQYwv0XpPl+u21cQ/RPiXQLdC3Wrhblrc81zYFugW455/rNRLO+jk9p9LxfI0qU/g6B9+E4JsSnNa2SLZgtjzXemt/mkGec9tToE9J9C2pPqXPM4HuOfD5eE+gZ9v2nIm+kuiega7v55Q8d/rc392VPF8l0HXNOPu6RbEGMAADMAADMAADMAADMAADMHD95Nbg9BOgWAMYgAEYgAEYgAEYgAEYeBoMqB3zL/38z73ZAv0f/Y/v+3UJdJVknBKqTqI7ca5Se+iUcHqtReWeQN+af74n0ac27pNAl6y1PPfMcJdbt0vKal/nK4meMl1bS/QU6Uqha/62pOWR1uFan0yed7JaAtXnm0lri2rPOrc8dyJdNaXzt24+OCLQL23hPqXPJ4neCXTJcYtxHffPW4pbovtmB+37d3vfAt/vmzLdKf+U1ZOoTmmes8vvbKMt+644j/dYtW+3RJ/OrcV+Cv6U5d3O3fsp0J1AzxbuvqFDXDpFv5LnCPTzr88UawADMAADMAADMAADMAADMAAD17drwGLwhYABGIABGIABGIABGIABGPiWMKA06ZZAz5nKFm8S6J6JngJdAi8T6JK8LdFX0vxItTCeJK8lq1PnKj1nea5zctt2VbZzV6pb4txlka527m7l7pJI1yztbHWfKXSJSUnNbNfu80lJnuLcx/05tO026v4cOtdDa+lk+SqB7v1IoPtvdalAtyzv/RboluN6Xwt0vaffz497zbbWLtPwOYM9k+VK9Lu1+s1+ivJs4V7t3Lt63vkdeR4/75brKp+feJi2ORfdc+Mzge7387ZnofuYv7M5A71HCuTs8y2B7vR5JtDVrYIEOv+f+f8MAzAAAzAAAzAAAzAAAzAAA1cnrAHgAR4MwAAMwAAMwAAMwAAMwMC3PIEuea6S0HMbd7ewdit3zZN2O3cn0nXsaAv3rfT5pTJdlYI5Ja8FtNu2W+Y7aW4xrPPUMctzbZU8V0mcp1DXcyrPSFfp5/V5laiWGM4W5ZmyVrUIdvK6BbrntPucMz3vz7KaDb+7djsCfWqN77WaZqCvhHnXJNBV2s/1SCGestw/n787U/x5Phblvc39mwT3M5nu6sT3lkTvuk2yL1q3u23/JNKPzEFvYZ6J9KwU6E6gW6LnuAHPP99Kn3cCXdcICXSuzfx/hgEYgAEYgAEYgAEYgAEYgAEYuEKgAwEXAhiAARiAARiAARiAARh4Cgl0zz9PKeoUtcScZLnnoVueW6xboEuIpkCf2rdPs9B3BXCmp4cUekpxt2hP4eyy1JcQd0rerdstzlVOmkuSW6anWLc8d3JdlY8t1lOKpyR2e/kUwX6dxLKT8j7/FOg6/72E/nINvW15fmBdpwT6Vgo955+7vB6ZQNfjFOlOnmcC3WvmrVvfZwv8PDa1ls/28v18HkuB3i3ep5bvU+Ld7+eW7UcS6E6hT23cVzPQe0Z6C3SJc7dwt0R3Av1o+lyla4OuEbrh5uxrFsUawAAMwAAMwAAMwAAMwAAMwMD1k1yD00+AYg1gAAZgAAZgAAZgAAZg4OkI9J/99Ge+3S3cU6B7JrXk5tTGPSW6Z6BboFsqT4nzQyn0lL1TK/JIXjsdLuHrRLlFuSWwZb5/v1/TyXJJcwv0FOcp0P3Yktzi3El0lfYzDZ/y3BI45bD3JZRTmvvc+waAm3UaxPfhBPpUBwR6fo5JVO8l0PNzulKgr9q299z4FOqdRk+R3vtZ2Ta9ZfokxbeqP2/OO09RvpLnKdGnBLrbwe8l0FWdQHcLd+07fa7v7l76PGW6rg3vfM/73opAP/+aTbEGMAADMAADMAADMAADMAADV090DU4/AYo1gAEYgAEYgAEYgAEYgIGnw4Ck2Jd/+ePf7xnoanMtCShxKREs0ScpZzlnQWeJ3gI9U9lT+/aL27hPordajvf7SnLnLO8+Dx+zePfPZgI9hbkFe8pzS3PJZW1TCPe87qyU5zn33G3bnYzXe043AUwJ9IvbuC/WtVu4W6B3+vy1CHR/3pVE9zbXLtu3d2UyPRPqXd3uPWuVWLccPyLPU4CvZHmfSyfQexb6JNKdNvc2xbpT6BboTqFLnjt57q4Rey3cM4GOQD//Ok2xBjAAAzAAAzAAAzAAAzAAA0+dgdNPgGINYAAGYAAGYAAGYAAGYODpJNCzjbsEugSkZ0lLbkrypTxXOXnurQV7JtCnuedb8vxeinqVPl+kpvM9ptT7JNCVQPcx/azbs1uc61hLdd8ckG3bLdJz/rr3LYKd4M627p53rpKozrbyluYp+XVukyTfkueHbkoogW5x3+3bVZ323pLmqwR6fv6+8WAl1FOib4n1SZLvPe9z3bspYCt53uJcv8Pb3M9tpuFTpLc4d+K8JfrWHHQL9GzfruNHWrinRM/557pWnH3NolgDGIABGIABGIABGIABGIABGLh+kmtw+glQrAEMwAAMwAAMwAAMwAAMPM027p6DLokuga5SW22lyyXfnG61SHeiNWegO4Fu4dvyepLoowTuxPmB9uNTIrsleia5+5xSnFueZ6rdCfRsE6/9FM3eSgTnNiW0jzm9bhGf7dstz32u4/qEIJ9uQlgm0jfWb2/++TQDfRLQ/fyWRHeJn9V2au0+tcGfUuqrmpLqKbSPpOw7dd7CvkV6y/PVHPROnluiTwn0TKFboOu76fR5zz/Xd/aIPE+Brk4VCPTzr9cUawADMAADMAADMAADMAADMHD1RNfg9BOgWAMYgAEYgAEYgAEYgAEYeHop9GzjLoFuiS6hZzGXAt2toJVCT4Hu1uOTOD8sz4/O7b5QpqdEnwR6Vsrz/NmU2imaLZtVEuQp1H3MIt3iXFvLc7dvz9S5E+d31mvxWXv9dtvjd8J/mH+uaoG+SqBPae5JKq9S6NPjbvG+avOe77sn2Y9I9Zbr/jwtyrO6XbtuPNH7eNsJ9E6erxLoOe+8E+jdvr0T6D/wPX/2NonuUvLcxfzz86+/FGsAAzAAAzAAAzAAAzAAAzAAA9eH1oCF4ssCAzAAAzAAAzAAAzAAAzDwLZfo2cbds6SdQv/pt3/3rZhT/fA7/tKdecoW6K++/KFbCZy1JdE3W45vifLf+Y2724VAT5ncs9j3BP/0OD9Xzix3gtwiXYK8k+k+7tS527b7PSzPVcvW9iW9HyTPh/fpz3hpAn2vJoHeIl1iPGej+7GT6NnqPRPqkzBfHW+pnmXZ3aK7Z5jnsVXCfDqe69bCPRPoUwrdIj2Fekp0ff/yRhd9P506t0x3Al0CXt/pI+3bdVMN7dv5n8z/ZBiAARiAARiAARiAARiAARi4OnkNTj8BijWAARiAARiAARiAARiAgacn0NWiWRJ9SqH/vXd9742oS4kucS6RPgn0nOG9l0AfU+ir1u0ty19DS/cW5HtiPcsJcbdw92d2C3bfRGBJbmluqZ7i3JUt2zN5fkeQL24Q8HOr9RzXdlijTp9PAn1qfy7hK1ZWMr0l8pZE79noLdNTqKdE71bvLdBzHv1Krkugezul01OqT+3ZJ2G+lUDvtvHZEj6T6FOrdh+zOM/y91PiXNuU6Z5/ru/0Spz3/HPat59/jaZYAxiAARiAARiAARiAARiAgasnvgannwDFGsAADMAADMAADMAADMDA052F/tuf/eT7fvNn/pefdQrdEl3JVwl0CzqJOIu6noFuIdxzx1ct3HcT6J02PyrSK2G92m5VS/YW7SnTnR73sRTkOpbpc5Xlu7ZT2/alLF/U6jONbduHFPtDBfokzCdx3gJ9EtzZvr1T6dP+1AY+Z6fn7PmU7SncW6i3SNd2Sqd3m/bebgn4TKBn8jxFes9Bz/btKdX13XM5hZ7S3J0i9FjfVaXPtxLomT5/53ve91YJ9LOvTxRrAAMwAAMwAAMwAAMwAAMwAAPXT3oNTj8BijWAARiAARiAARiAARiAgaebQlfiVAI9U+gp0SX2Upy7UqCvWre3RB/bk28l0LdauR9Moy9/56IVegvpnI0u2d1z0VOeO5Hux06nd/nnd1uu74jzVfL+Ie3bjwr0KXmuYy3SW6hP7dan5Pkk1lOkt2RfzVJfzVxP2Z5SPSV6ivWcpW6x3qn1/qwtzn1sSqFbnE8C3e3bU6h3C3cLdAtzS3R/Z93CfSuBnulz3VSja8PZ1yeKNYABGIABGIABGIABGIABGICB6ye9BqefAMUawAAMwAAMwAAMwAAMwMDTZEAC/cu//PHv/xe/8vIHJdAlBlOgS/JJvFmeu6W7HkvcqYW7EtaWyEfmjG/K3aNzz6dkde9fmObektVZTow7RW6h7seuFuaW6vma5bo84HMcvjGhEuiW51sCvdu3H2nbvtXCPff1u1pwZ9q8BXuK863Hq+dW6fRVKr33/bhT51sSveegS5ZnG3dL80miT/K89yeB7u+stkqf6/Vu197yXN91pc/dvv3s6xLFGsAADMAADMAADMAADMAADMDA9ZNfgye/AHwJ+BLAAAzAAAzAAAzAAAzAwDkMKGm6EugqCUDNT06B7vbQnoGeAv3BEv2SBPqeRN8T0Vs/t5in3iI955Zna3cnuru9u5+XQD/Usn2Vpr9UrPfnHgS6E+ie1b4n0Lck+kPauD8kgb4S5Zbx+gz5uH9umqPeyfTcz3PuRPpqBvqqhXunz6cE+kqW5zEn0L21QPfcc5XEub63NzPQhxR6ps8l0H/p53/uzQh0/h/z/xgGYAAGYAAGYAAGYAAGYAAGrh7BGpx+AhRrAAMwAAMwAAMwAAMwAANPkwHJMkkzCfQvfux//ueShf/qb/+Nm3IKXdLNyfOsKYE+CfTD6fMWvQ+pLcm8J+lX5/PFz33ja1/6/M3W7dzz8+mzu7W7E90p0PWc5bmOZ2v4iz73Sooflej1XinQU6IfTaC3RL9kDnq2cO9KWd6zz6fHLc29nZ7zz+Wc9EyfTwn56bkW6qvZ5/m4xbnXcJp/vpLo2bY9Z6G3QM8UuiS65LnawU8CXd/xT/71t3+G9u3nX48p1gAGYAAGYAAGYAAGYAAGYAAGrm/XgMXgCwEDMAADMAADMAADMAADMHBaAl0C/bc/+8n3aQ56CnSV56BLoKeoWwn0VfrcIn03cX1p6vy1vGZ47Y0oH56zQHc5RW45rs/nFu4t0PXcNPf8jpw/IvdXIv2BQv21JNCPCPStGeiTPHfae9Vyfa9te0rylOe9nX5+mpW+Eus9L92fbUqj59qlRLc0d+XjIxI95bm/l/pOpkDX91TJc5Ukun5HCvRMn1ug63rA/HP+H/P/GAZgAAZgAAZgAAZgAAZgAAauHsEanH4CFGsAAzAAAzAAAzAAAzAAA0+TAcmyn/30Z77dAl2SMRPo2krWKcEqASgRJyH30AT6g+ag71XPSZ/mpV8o2C3MW5w7ge7KhLnT6N22PWel67V3kuev540BRwT6IoG+EugtgTM13RJ9S5yvBHqK9EvE+ZRAT5GuY966/HjV2r3FuY+5xbvPN1u8T0l0i3Sn0Lt1ux9bmucM9BbnkzxPae79nIGeLdwt0CXO9fO6GWarffvZ1yOKNYABGIABGIABGIABGIABGIABGLh6tgbAAAwwAAMwAAMwAAMwAAMwAAOnSnQLdLVxT4mukgSUrJOks8xbzUDPluAXt3I/msCWIJ9keR5/rUn2ktE9B10SPNu3u4V7tm13Sj3X5t5nv/RctxLnnVB/nQT6EXm+JdFTLu+l0F1bafHVXPNs4d7yPCsl+1ZS/WiL96127pnMn9q4T/K8k+ct0lOiZ1mgp0TPFu4rgZ7t27kO878YBmAABmAABmAABmAABmAABmDg6pGsweknQLEGMAADMAADMAADMAADMPC0GfjyL3/8+y3QLSAlzyUTJQaVYJW8kwSUrNtKoB+R56NIX4niVdp82u/XHU2kr17zLHWeCXSfv6W5P8v02BL9njy/JHU+CfMtqX5kHvqzaoGe8rlbuG+J86mNe0v0TKJPM9Anae3z6KR4C+9Mma8kekpz/1y+puW5j09p8yPyvOegpzxfzT9Pod7t2y3PJ5GeM9Bz/vkqgd7p83e+531vpXX7+ddhijWAARiAARiAARiAARiAARiAgevbNWAx+ELAAAzAAAzAAAzAAAzAAAycLtD/xa+8/MH/9//65BecRP7Kxz5yU5J9EnASfWpPrTSrJZ4Euud7p0DfkuhLgT5J80kwryT6EVl+gVi/bd9e0jnluFu6W56nNPe2P/eD2tSvfmbVBv51SKCv5p9b/K5EeovkFOedQp9Eegr1FNqrOeYtzScp3hJ9lUBPcb7V3r3l+dTCfUqhp0Rvgd7zz7t9+1b6PBPonoE+tXBXTQL9pR/8oTdwDeb/MAzAAAzAAAzAAAzAAAzAAAzAwNUjWoPTT4BiDWAABmAABmAABmAABmDgaTOg+cdq4/7VX/uFz/zrX/z4v7RMtUh1C2pJPKfPVZoHPQl0i9mU55tt3C9JY1ucT/K8n3tI6nyQ0z3DvZPmfTyPZYL9QQL9Unl+oUCfUuirBPokzy+Zg54CfUuet7jO1HhK8Ume9+OW5f26rZbumUDP/b0Euh9nCt0t3N2+3RJ9r5X7agb6KoHu9u0S5ZboqwS627cj0M+/BlOsAQzAAAzAAAzAAAzAAAzAAAxc31kDFoQvBQzAAAzAAAzAAAzAAAzAwKMQ6E6hW6ZaFkqUa6s56Fk6rhbukuhTAr2T6Ltz0I+I9Kl9+6VJ9CnNviGwnTTvOegt1lOcH5pF/lol+tbzO+3bM4GuypsmUp6vBHomqPdS6KsZ6EfauafIzhnmkyhfVYpzVd4okDLe75u/c28uerenn1LoFundxt2pcwt0Ce5pBvpe+nwS6JboEuiag94CXVLdAv39P/rj38Y1mP/DMAADMAADMAADMAADMAADMAADV49oDU4/AYo1gAEYgAEYgAEYgAEYgIGnzcDPfvoz394CXZXyUQJQIs6J2D2BvjcL/VAL9yPJ8YfK87327XEuU4p8K5V+aA756neuRPiWOD8yB71+NhPo/fc+kkBftXFfyfNVG/dVCj0T392KvSX6kRR6V0r06fn+nauk/FYS3SLdHRxanlucbyXQjwh01Utv+75lAj0F+jT/HIF+/jWYYg1gAAZgAAZgAAZgAAZgAAZg4PrOGrAgfClgAAZgAAZgAAZgAAZgAAZOF+g5B91CNcWqRZ7En+S5WrmnQHcb906edyv3lsxjO/ejifGHJM63fuZAanuS6P5sft3t/PRJbB9Jku/Ngd9q3773OZ7tt0DvGehHBfqURM+09V4KPSX0ql16zzTfSpdPkvxoQj3buXdb9yPyfEqgW5xP6fNV+/ZOoEuQ67WW5XrP3GYCvSV6tnDXVvL8H770578hge727R/+4If/ENdg/g/DAAzAAAzAAAzAAAzAAAzAAAxcPaI1OP0EKNYABmAABmAABmAABmAABp42A0qgtkCX+P69z/6DGwkpiZizm93CXQJPAl3yPFPo2Rp8K4G+2cr9iAw/ItGPSvbhPFKEr+T58vMcEd178vySnzlaJdD1N17NQF+1cFeS+bXMQz/ayr3bqPec8hbhYnH12DcItFRPWZ7SPNP4K4k+fQ7J825/b4nec9B944HFuVu4t0xfpc4t0FWW5hbokueS6m7XngI955/r5pmzrz8UawADMAADMAADMAADMAADMAADMHBVawAUQAEDMAADMAADMAADMAADMHAqA0qgeg76V3/tFz5j+e0EugSiZJ3EoASgE+gW6JlAb4G+kuiTlF62Ok/53fs9B/1o2vyAQM/jeY6rdvT9OZZt2R+SPt9q136pRI/P1PL8kgS6249vtXVPiZ5ieS+FPiXQu4X7Vrv2FuV+vJdKT5Ge8jwfp+zPbafte/b5SqBvpdC9P4n0TKCnPN9LoGtL+3b+7/J/FwZgAAZgAAZgAAZgAAZgAAauHvEanH4CFGsAAzAAAzAAAzAAAzAAA0+bAQn0nIP+r3/x4//S8tsJdLVrl1iU7JOwa4Gu16ZEX8nz3VnoLbT3WrGvnptqlUi/QDgfqYtT5EdmpT9Alq8S/tl6PgW6yqI4W5JvJdBbom+l0bfmoO/J836ckjvbuE8p84fK8ymBnudypIX7qo37Sp47hZ5t3Lfkuba6oaUFuuX5lEDXlvbt5193KdYABmAABmAABmAABmAABmAABq6Xa8Di8AWBARiAARiAARiAARiAARh4NHPQnUK3RJdctSCXSJTgk9CTtJPAe/XlD90T6C3SL5boq3bmWy3a90T63us35HPvr9q4757/6vMcmFl+abL86A0A2W3AIjnlcAt0y3Ntu5X7KoW+NQ99JaIfKtCPzj9fPd/yvNPoqxbu3bo9y9I8E+g5O35Kn6dA32vfboHe5fS5pbz2VZ5/ru8888/Pv/ZSrAEMwAAMwAAMwAAMwAAMwAAMXCPQgYALAQzAAAzAAAzAAAzAAAw83hR6zkL3HPTf/dXfl60SiH/vvdc38lxiT/LPAj1noOf+SqC3RF+msFfCfNWivZ8/kkD/rV+/M+98ks4rAd2vWZ7/lCY/Wjs/s5uGX3yObLVvgd7t27MFeUr0lOcWtC3Qp3buR2ahH2nj3oJ7S5ZfUtPvmGagT+3nLdIzhT6lz7OFu9etJXqm0CdpnvvqBjG1b1f99Nu/+55A1/zzd77nfW99/4/++Ledfd2hWAMYgAEYgAEYgAEYgAEYgAEYgIErBDoQcCGAARiAARiAARiAARiAgccq0CXUcha6U+hKlLuVe7eV1jEL9Bbn/tkU6FP6/CKBvpqF3tJ8lUKfxPkiDT4J6L2558tE+RF5fkCur+bHHzq3jRbuLdC3ZqB3Cj1rbx76JNFzv+V0t05vcT7NQN9Ln69e30K+Rfok9rt9e7dxb4G+18K9BfqUPm+JLoE+zUBXAn0S6J5/Tvr8/OsuxRrAAAzAAAzAAAzAAAzAAAzAwDUCHQi4EMAADMAADMAADMAADMDA85NC/7df+Ef/3O3YJRklBSXt3HZa8k6z0VOe59aCdk+eb85C3xPokzCf5qQPrdtHeb6Q6EeS6MsW7l/83L2E+/KmgQtS5nvntSXdsxNAzkE/OgM9hfmWRJ/auG+l0S2lM3ne+1MKfWum+ZQw35qNPonzbt++auGubafQ9Xm7fXtuV8lzC3S9pueef+KjH74V6RbomT7X1vPOU6CrfbsE+ks/+ENvQKCff82lWAMYgAEYgAEYgAEYgAEYgAEYuEagAwEXAhiAARiAARiAARiAARh4/Ax0Cv2mniXQJQ4l/iTxJPhSoFu2b7Vw35Lor2sKfWsO+jCD/FamL+T2SlLr8yzFeEv5jYT7nlTfuvFgaz23BLvOXRSZk7YAACAASURBVC36U6DvzUCfJLrqH7705+9J9SNJ9CmBPrVv3xLor3cr9yl1PrVwX7Vvz/1MoWf79m7jvlWS5J1G13v6O/jX3vZnbuW5U+iS6DkDXVv9jZh/fv71lWINYAAGYAAGYAAGYAAGYAAGYOB6dw1YJL4oMAADMAADMAADMAADMAADjy6FLonuWegS6BasloYShJqHrq0Ful7jtu2rFu4WtylxNwX60TT6Vvv2veT5gfbqh5Pzq7bu8f5Tm/Wt1HhL7yPH9uahO3kuge6/bbYy79bkk0BPae6ysN1Lou+l0I/MQp/S4pNI3xPrbgM/zT33dmrhPiXQ86YACe4W6L4ZIeV5p9A7gT61bfe2BbrluY5lAt1/K80///RPvPsdGtdAAv386y3FGsAADMAADMAADMAADMAADMDANQIdCLgQwAAMwAAMwAAMwAAMwMDzwYAkulPoluhOoaskDCX5tP1/PvN3781B93Zq497C148vFug917xF+lYCfXrf4Xdn6/WV5N6S7kcebwn1aZ225shvJdBboB+Zga6y8F4l0J1u3kqkTwI9JXrK5y2BvpLpLdQvnYu+JeW7ffuUPvfnyOS5q+efZ/v2LXnu9Pmd+uiHb9PnK4Gux55/rr+N3sd/Cwl0zT9HoJ9/jaVYAxiAARiAARiAARiAARiAARi4Xq4Bi8MXBAZgAAZgAAZgAAZgAAZg4NExoHSqZ6HfCvRf/Pi//MrHPnIjFD0LXVsL9Kl9u9PonUDfksC7NaXP99q6L2ahj63bU6ZXcnw1a3yVHv/qq69sCvjVz/ec8unmg17D1bltJepToOcMdAvilMBbbdwlarNd+DQTfSuB3in0SaR3S/UjAn0vjb56PM1Bz9Logkyeb6XPpxbuq/T5zazy917fEepT63bPQJ8EuuS527f7vfR3+Jm/9Ze/LIGu+ecI9POvsRRrAAMwAAMwAAMwAAMwAAMwAAPXCHQg4EIAAzAAAzAAAzAAAzAAA8//LHTJc0l0iUPJP211LNPnK5G+JYOnBPYozlep9FXr9g15fi91vtPKfdWufUp4r+T1VsJ8Spxv1V76fHnzwZBCzxbunUCfBHq3bp9E+lGJ3nPQM+G9mkG+J8+nFPqR1u5TG3f9PqfQp/R5zjz31gJdnzEFeibPJ3kuIZ7p80yhZ/J8SqA7eZ6zz3v++ad+7F0/pe4SCPTzr68UawADMAADMAADMAADMAADMAAD1wh0IOBCAAMwAAMwAAMwAAMwAAPP3yx0CXSn0G9mnH/sI3cEuiRhCnS9ZpqHvieAD89BnxLoezJ963i/34483zpHpdmPzETfEuYtto/I871E/LSWUxv3FOjdmvzSBPok0qeZ6J1AT5G+l0D3tsV3yvFs3Z4z3o+kzrudfafPpwR6t3Lv+ecp0TOBLhGuNUqZviXQXR969w/ciHNXJ8/1u/TY6fOcf84M9POvsxRrAAMwAAMwAAMwAAMwAAMwAAPX4xqwMHw5YAAGYAAGYAAGYAAGYAAGnps27p6VLWHolK2EYs5At0TvNu5Oob+mNu6reehbM9J3EugS3znrfKt9+70k/MFatWjfS5z/3mfvbrdmoG/J89tW9c9qS6BnC/dMoO/NQW+ZPon0PYG+18a9E+hbEv2SOegreT61b/e5tUjP5HnL827fvpVAb4neLdxz+xNv//47yXPNPdc6+33891D63ALd8hyBfv41lmINYAAGYAAGYAAGYAAGYAAGYOAagQ4EXAhgAAZgAAZgAAZgAAZg4Pmfgy4RaWmokkjUHHRVyvOU6BK13cY9xfHUgnyS1ndE8CDUb5/faun+O7/xB8K832ejFftFM9ovTJ97HSzKvWba+tiRGejjeU5p/Gev898nW7ivBHrK75ToW/JcrcOVhj6SQvfvyt+9kuerOehHBHqK9JTvbtmerdt77nkm0HsOeibPU6Afad+e0jtbuKv02pTmWRbo2lqge721/h9923d+3QJd7ds1lgFxfv61lWINYAAGYAAGYAAGYAAGYAAGYOB6cw1YIL4kMAADMAADMAADMAADMAADj5IBibZpDrrEuKWiJbrkucRkS/RMnk8tyS9uQb4hzw8l0Vet2xdt3O/I6RDP03nuyfYteZ7C3CVx3gL9SOv2/N2dPM8Eusq/Y0qgq7KFu8V5C/SW6Jem0HMW+pEUeifEt1qwr2T6lD7345VIz/nnLc87gW55rm23b7c0T4nu9u0rid7Jc7dvT4Gux5boEudZTp9rLMPZ1xWKNYABGIABGIABGIABGIABGIABGLhCoAMBFwIYgAEYgAEYgAEYgAEYeBEEulPokuMS5RKMKdAt0VVu555CeDUP/UFzvKf0+FGRHj9zK5jj2FdffWWeex7ieW/O+er5Vcv2XCfJbM+Qn9ZqWrNlq/lF+/o8h0ygq1JQb7VwP5pCv0lFH2jl3jPQU1hPAn2vOmE+CXNvxXI+lxJd5eS5yxLd/KdE1zYFeifQU6K3PE+BnjPQJ4Gu10icuyzQVT/5ljfcSvRu3372dYViDWAABmAABmAABmAABmAABmAABq4Q6EDAhQAGYAAGYAAGYAAGYAAGnkcGJNuUWJ0EutPKTqG/+vKHbiV6zkG3CM5W7pdI4dc8E32ae94yPdPa8b6TLF8lz7eS6HvzzpUCtzTP6tbtRxLoLfzvfN5YizwPp887ga6tpXa3cV/NQu+akugW6Vtt3KcE+iUifUqWTwI9xbkfd/Xv7gR6tm7fm4G+kucrkb41/9wJdJduVGh5nu3b3/me97317GsKxRrAAAzAAAzAAAzAAAzAAAzAAAxcHVgDQAEUGIABGIABGIABGIABGICBR8uABXrOQfd8cwlXCUancrONuxPo2c59lUDfEsMrab2U6CuxvmrjvmoNf2TW+dDO/Wjr9kyeW2DnthPo2XJ9Jc43byxYCHTLe//eFMyZQM8Ueov0TqBr7nlLdMtcv86vmVLoUwI9H2db9YfI806kd8v2aSZ6p89bnrsszqfW7ZbnLdG7dXsK9K027k6cp0BXtUB3+vylH/yhN5x9PaFYAxiAARiAARiAARiAARiAARiAgSsEOhBwIYABGIABGIABGIABGICB512gf/mXP/79KdAlwi3IJReVPrdAzxR6SvScha7K/U6hb7V1X7ZxX6XRB3Hec8HvtHHfKbd33xLkPj59njyWLdslsL/ysY/cblcCfXNdVjcFWJ7n53923i3xjwh0tyL3/jQDvZPp3co9U+iW6P49K5G+VSt53hJ9NRM9E+iW5npfbzsF77btmT5Pge61yvR5zjzv0lr0/HO9PhPot/L8ox++MwNdW5UFeqfPmX9+/nWUYg1gAAZgAAZgAAZgAAZgAAZg4PqiNWDB+NLAAAzAAAzAAAzAAAzAAAw8dwLdZWHeLdydUE+Rnil0y+GWxJMw3k2hlzRvQX7ndd3SfUvIL4T5KoG+1bK9Z45bkKe4VmUCvdfh0I0Fq+S5P3ek7/3z/n1HBbplcAr0rEyX53FJXQvenod+SSv3lOZ77dw7dd7J896mPHc5gZ7ivKV5zz+fEuhTC/du3d6p81X6PBPoFuiW6HmTQrZvf/+P/vi3nX09oVgDGIABGIABGIABGIABGIABGICBKwQ6EHAhgAEYgAEYgAEYgAEYgIHnmQFJt5VAl3y1HJdAt0TX45bplucW6J1Av6SV+z2R3pJ8lUZftXyvx/feu4TzNA/9iDhPeT5Ja22n+eeH0uf92fOGgZbov/XrtzcG+Jy2WrhbZmcL9xTDKc79uLeZQu927plC71buK4mec9ovnYfe889zDvoqgd6t2/PGAs8913Gd/5RAX7VvlzTv9LlKgrwT6CnP9Zqcga7Hf++91/fWl/bt519DKdYABmAABmAABmAABmAABmAABq4vXgMWjS8ODMAADMAADMAADMAADMDAo2Xgwx/88B+SQNcc9K/+2i98xjPQM4UuQS7BuCXQLdF7FnqK9K2U9a5E35mJfi+VvnpueNy/Z+vcsjyvvNu1rxLfFuhemyOp880bCRbzz/NccwZ6no9FtQW2xbal8DQHvcV5P+cUupPolrwW7ynnM4n+hb/69jvz0Fft27PyudXsc8vzFOlT63bL80zkTxLd8lyPp/T51MK90+eZQt+af54t3Fugd/pc889Jn59/LaVYAxiAARiAARiAARiAARiAARi4RqADARcCGIABGIABGIABGIABGHgxGPiln/+5N1ug/9sv/KN/nuJ8Eugp0T0D3RI95fmqVuJ4SoFvzj/fSaOPSfOS69Pvms4hj61mn6dAn+S5U+BHbiZYtm6f0ug1+1z1u7/6+++R55Tn0y3cU5ynPNexFuYriW6xe7SVeyfQW6CnKG+R3o9z1rmrxbl/LlPnmcLfSp+nRNeaaL/FeabPLc5VEt+ZSLc4dxI9pXmW5bkFusoCXWsrgS55/tIP/tAbdCPM2dcRijWAARiAARiAARiAARiAARiAARi4OrgGwAIsMAADMAADMAADMAADMAADj5YBibecg74S6G7hnhJ9auPeCfQtcX4kjX5HJq+EeabKFwn1FsxbCfc9ea7KFux+3OlzCdt/9bf/xs32Kx/7yL30+ZEbCPYerwR7S/2cw55iutu3txDO2d5b1W3cNbvbIj1npncCvVu4dwJ9Sp1PqXQL8qlVe0r0TJ6v2rfnuflxJtC7dXvPPrcktzjv9u3dyv1OCv2jHx5buOu9blLoMf/c7dtJn59/HaVYAxiAARiAARiAARiAARiAARi4vmgNWDC+NDAAAzAAAzAAAzAAAzAAA4+agRboSi9LCEuEaz9btq9S6J1Ad+t2/fwk0fcS6EtRvGjLvjsTvVug+z3qNXvt3FucT7PPW1Rr6/S5276vPuPe3PXVuvX5un1+C/RMnmfaupPnKdBXIn1q854pdEt0p9C7lXsK9JVI30qdTxLdsjwfdwq9E+iZRO/keYvzTOpPbdudPM/W7dMM9Jbn3co95bnW0TJe2xTo73zP+96KQD//GkqxBjAAAzAAAzAAAzAAAzAAAzCAQAcCLgQwAAMwAAMwAAMwAAMw8IILdLcAdwLdsnwrge4UeibQU6YfaeN+VKCPCexOYh+Q6Mt0dwn1Fv+57dbtKXWVQJ/at+cM9S1xvkq8bwl1vXZL6GfbcstztySf2rNL3Fqe5xzzFOo5B11yV9L3J9/yhm+0RE/5vkqh9wz0aSb6lETfmnve6fOU53kzQSbQLdFToE8JdN9ckCI9U+idPPf2qEB3C/cU8lpPzT9HoJ9//aRYAxiAARiAARiAARiAARiAARi4vngNWDS+ODAAAzAAAzAAAzAAAzAAA4+egRboX331ldtZ2m7pLlnes9Anie7XOwV96Tz0SWxvtVnPJHkK8G7ZvhLoW63ctxLo3s+Udwp0t2/38VX6fCXRM93elc91Er5T5962OO/keUrwrJTEmcDupHoLdJcFuipT6KsE+iTNdXwrie6W7CnTp0R6tm7370uJnm3bLdFbmmf17PNJok/t23MG+lQW6N6miL9Job/3+raFu26AYQb6+ddQijWAARiAARiAARiAARiAARiAgWsEOhBwIYABGIABGIABGIABGICBF4MBtYD+pZ//uTf/9mc/+b4U6JK4LdCnOeiTPM/k+Uqir1Ld0zzw3XT6ImF+T8BHQn2vfXwnwZ3sToG+NWM8W7drq9fuJe5XKfJMuHuWusuv9dbCfjqnlucW4xbf2YZ9kuiW393OfS+Bbone89C35qBPMr0FekrzFOW93/K8E+jT/PNs2679vIFgkuZu2z4J82kW+ip9brnu9LkkuqoF+ofe8ee+QAr9/OsnxRrAAAzAAAzAAAzAAAzAAAzAwPXFa8Ci8cWBARiAARiAARiAARiAARh41AwovWqB/tVf+4XPWKCrUqCv2rinQE+J/lCRvpLlS4F+VJ7v1JR673NazT3PGeNOnjsJ7desPp+T6Snl/d4W4E6Su1Kq5+szCe+fyxR3CuI7s8tjtvZPv/2776TGs/16y/QpuZ4C3bVKoVui77Vwb3G+JdRXc89VFudb7du9tTifEugW5SnSPac8555beLdEXyXPLc9boOd7WKBnCv2lH/yhN5x9HaFYAxiAARiAARiAARiAARiAARiAgSsEOhBwIYABGIABGIABGIABGICBF0Wgew66BLpS6E6gqyTFJXct0CUej7Rwz3nolufdcnwl1PcE+pE275uz0g+I9JU4X7Vvt0DPStm9+mx+P1UL+XzPFOlTMj3FeYrmVct2VUpylUS3BLoleorvTKNP23wfC/S/9rY/cy+FnhL+C3/17fdmoWf6fJLlq/0phe7Uec8/T1G/Sp93Aj0luufCT+3aLc8zbT7VPXn+0Q/fE+iS5/pbWJi3RM8UOm3cz7+WUqwBDMAADMAADMAADMAADMAADFwfWgMWii8LDMAADMAADMAADMAADMDAo2fAAt1z0J1A71bu0xz0TqBLKlukp0SfBPokp4+I9Gm7Ncf8yPH+HX2OPvdOia/k+Vc+9pF7Ldw7bd6t2vO9ck53yuKU6ZlM73btKc9bnLfwtjiX7Lb0VlmmT23dU577/ZQunxLoOQs9f3arjftWC/dVGj1btk8ivd/f6fMU53mzQbdun2ag99xzJ9FzbvmWPM/W7Rbonn2utXcL93w/C3wJdKfQNYrh7OsIxRrAAAzAAAzAAAzAAAzAAAzAAAxcIdCBgAsBDMAADMAADMAADMAADLyIc9AtzrVValv7k0BveZ4p9EmiH02ib80HT9nt165mpk+CfDqe0rzbq2fiPJPnnjc+zT7vtLi203tlinyaVS5xm7I5k9kt01soWxJnu3aVJXcnziXOv/c/+Y++8Z/+x//hTWlf9Rf+9HfcPJciPUV4H7NA/6Hv/s9vqgV6t3HvBPpWK/e9Nu7T7POee54p927b3vPPLdC3xHm2VHf79jyWMt2SfW/+eQr0m6R5zEFPWf8zf+svf5k27udfPynWAAZgAAZgAAZgAAZgAAZgAAauL1oDFowvDQzAAAzAAAzAAAzAAAzAwHM3B90SPdueu4275Hkn0Fez0FOeb0nzltd7En1Lrk/t3afHq59fnWPL8ykx7rbtN4nzj33k3qzy1ex0v4ekrtqaSzBLPEteW2prK5Et8Tyl0ju1biHt5HkKb8twp84luv/4f/BHv/FH/8gfHku/X69xKj1FeG5dPncL9CmFbqG/lULPz7MlzVct2/W8xbmPrdLnmUDPlu176fMU4zn73Gn0KYk+tW5vgZ7J89sZ9c+EfP5uBPr510+KNYABGIABGIABGIABGIABGICBawQ6EHAhgAEYgAEYgAEYgAEYgIGnJ9AzhT5J9CmBbtncc9GPzEFf7U+i/Igw32r7ntK+hbnbrLc8d2pc1fLcz3eL9kydT7PKJc8lmS3NJbVV3pfM1nOS0RKondRO+Wwp3C3bLbGdPm9R79/j3+3S83ptJsm1P7WDlzhPgZ6z0DOt7tbyludbEn2VSE853snzPJ7zz73t5LnK0vxI2/aU5inPt9q3Ty3cnUD380uB/q7vvfP7SaCff+2kWAMYgAEYgAEYgAEYgAEYgAEYuL54DVg0vjgwAAMwAAMwAAMwAAMwAAPPxQz0buHu9u0SzF/70udvtkcF+pREzwR6SvQ9oT4J9K30+d7885Vwn+R5C3Qnyaf0uAV6ps5bmk+zzi3OnTy3zJ5KzznRbXndSe2eeT4J7kyf670svFvcW5x76xR6ivB8zxTonULX8Yck0PPmgNU89BTp0+xz1STPvV6dPLc81/m1PJ8kes4/T3m+Eundwj0r5fkdgf6stHY+DxLo5187KdYABmAABmAABmAABmAABmAABq4R6EDAhQAGYAAGYAAGYAAGYAAGnlj63PXFz922a5c8l4hctXDPBLq3D5mDvjcbfUqlr1LoWwJ+1Ube8ryT506aq3IW+U3r9mev1c+68vXd9l3i1vJcgnkS6JbmKr3OM8RdLc/1fquZ57kvGT5J9CzLcwt8C/QU4p1oz/nnUwL90hbuR9PnnTbvxy3PtVX5HI7OPU9x3m3bU5xvtXD3Nuefdwt3C3PPVfe+E+8k0M+/flKsAQzAAAzAAAzAAAzAAAzAAAxcI9CBgAsBDMAADMAADMAADMAADLx46fMv//LHv/9f/MrLH7wjz1Og/85v3Gx/91d/v417CvS9FHom0Hs/RfqeUH89ZqR3Yj1Fuff7PFqeTylyp8/zZ1OiTz+TbdstxVOUpzi3eLZwdro8RXknz50+t0CfUuOW5ynRnRzfEvmW5SnSVf7ZfI/+DK4W6FML960E+hGhbok+pc9dmTzfm32eAt1J8Clt3gK9JfqUPH//j/zN2+ctz/0eLc4t1CXQP/Vj7/qpT//Eu9/x/h/98W87+1pCsQYwAAMwAAMwAAMwAAMwAAMwAANXB9YAUAAFBmAABmAABmAABmAABmDguUmf37Zub4EeKXS3cZeMzDbuk0R3Ar3T6Cmmt6R1p9EvFeh7rd9Tnqv8OzN5bgmeIr3bt2ur4y38/XPT7PNu3W4B3eW0eYtmJ80tzDN5bnGe6fMU55M891Zpcf9uS/CW4X6938vt4HP2ec8/12ucPl8l0LcEerds9+Nu1Z7pc5cfZ/J8at2+Sp9PbdtdnUDvluuS4UdmoU8JdEv6nLfe888l0N/5nve9Vd/ls68nFGsAAzAAAzAAAzAAAzAAAzAAAzBwhUAHAi4EMAADMAADMAADMAADMPA8MyDplunz27bnLc6fJdC35qBvJdFbpHcafZLpLdVXEr0l+F5r9lVr+Bb7U2X79hTonn3ev8/nlvWVj33k5mdSnk8JdInpSZ67LM+nrVu3W8ynOG953vtZmUrv/Um+b4l2C3zL/S2BfknivCV5t2yXLPdjp8713inPpwT6Vvv2VRv3TJtbnh9p454yveefd+Ld+7RvP//6SbEGMAADMAADMAADMAADMAADMHD9oDVg4fjywAAMwAAMwAAMwAAMwAAMPOr27Tn7/M4s8ZboOwJ9moWeJcGcKfRJpP//7L1rsGV3ed6Zb67yB09SlbKJp4pglwlRapyRCDGKbRwRbA5WDh5HF4KCrQiQBJZASFwEbUkYIRpHt+KiBiFAl8hCCFnIXCKIEIoHUkjCguABYztxZZwwdkJNVb4kVblUTWlPPavPc/L02+9/rX1aLe1W9+/DW2vttddee53/+Z19Wvqd533/20JL95oqn3uuE+6j55wUT4FeU+d19nlNn+u8KvCzNbxT6BLoqtq+PdugW56rLMV1/n98+6W7M9O7WeFOp1eBXivFtx/nc06U57l1pnlNyldxPpLnmUB3y/m59Hkn0uux0fzzPN/iXO9TW7fPyfMufZ5b79cW7iNxPpc8rwn00XvV9Dnt2zf/WUqxBjAAAzAAAzAAAzAAAzAAAzCwjUAHAj4IYAAGYAAGYAAGYAAGYOCZz0C2b9d888MEehXp3/nyNAddEtxz0Ls27lWkSxzPJdCXWrp35ftdJ3k+ku4W23VueU2dp0Cvs8wzfe738BpWmZ4S3Sn0kejWMT1fxbIkurduZZ5p+CrRva3z0LP9esrz3M+yNM856SN5ntcZyfMlgT6XRO+O5bzzus3W7evKc8nqUfq8k+KZPB/NRF+S6CnQp5b3O69LiS55fsM5f/dxzz7XH8HQvn3zn6UUawADMAADMAADMAADMAADMAAD2wh0IOCDAAZgAAZgAAZgAAZgAAaOP4Fu6bsk0SW/q0C3OF+nlXsn0atQ92OLaT2em38+avfeHUtpnm3Wte80uUW6E+dd+/Y5eZ6VAr1KdInwrp27U+Y6x+XX+L27e/NscIt0l2ele0Z6nY1uke5Z5ZlCH7Vwr1X/CGBOnqdA71rUd+n6Tp53rdtz3nmmz7vZ51WeW5ynPLf07lLoXev2pfbtVaB36fPu9Zk8lzw/+1WvfjbyfPOfoxRrAAMwAAMwAAMwAAMwAAMwAAPbe1oDFowfGhiAARiAARiAARiAARiAgWOSAYk3CXTPPz8sgb5T//W7XxsKdNcffvHu/76UQk95vq44T4HepdJ1z6PW7COB7uvkc3XWueV5ps9HAj2vd9j6+Q8QIo0+J9JrOeGucyzKd1+3c59ar5T9mUTPsqBOmW6pXWW6U+p1HnqV5SNpvo487xLoXRv32tK9SnTvZ+Jcx7yt8nwk0SXMdU8pzkft20fyfDQH3WJ8qYX7IbPT/b3YuVZt207yfPOfoRRrAAMwAAMwAAMwAAMwAAMwAAPbR7QGLBw/PDAAAzAAAzAAAzAAAzAAA8e8QG9buFcRvFMWz0r81jnoS/PQU5inOF+nlfuorXvXun2puhbu2bJ9HXmeAr2V54Mker6nRbrnojtpbnmuY37/3XNjffLea2v52uJc3y+ntCWUU6KnTB+1es+Z6PW5FO9+rdvGd+K8ps/n2rh3Mr0T6CnNu5nnS+nzmkKfa9s+18a9JtG7Nu6j9PlhCfQdga6W7ZLnSp3rZ1Yzz0meb/4zlGINYAAGYAAGYAAGYAAGYAAGYGAbgQ4EfBDAAAzAAAzAAAzAAAzAwPHFgFKsdQb6rAgOgZ4J9E6ijxLoXQv3LpGubU2IdwI927Hn/Y/E+kicW0KnpK7yvKbPU6AP//CgkehOomciXbI8Zbrlue+ntp2v1Ul0lx7r+5Fy3Un0bO1eRXqm0eu+RbmFe27zOjmLPeX5qIX7OhK9a+ue4jxbuI/kuWefO32+NPu8k+dLIn2UPu9S6E6Ze8a5q7Zslzzf9OcGxRrAAAzAAAzAAAzAAAzAAAzAAAxsPYk1ACAAggEYgAEYgAEYgAEYgAEYeEYIdLVxT+k8l6KW3JaQ3WsCvWvh3tVc+nw077y2bp97TSbAU6IvtW63nM7Z43Ozz+faudfZ6LW9e85l75Lz+bXlfXsOes5K1/fC96wUup7L2ehVpHcSvUrzFOZVnnfSvEugUJy+eQAAIABJREFUd23cR/J8JNNry/batn00+zxF+l4S6J0017GaPM856KP55963OLcstzBXqV27xTmp881/ZlKsAQzAAAzAAAzAAAzAAAzAAAxsP+k1YBH5QYIBGIABGIABGIABGIABGDhmGZCQ+9Mv3PbzauP+7/7ZHY930rZLc+scydi5BHonzkez0Edt3TOF3s0+ry3RU5BXsV5noNf0dhXpnTxPge5W77U9/FCcz6TRM5FeZflSC/ougZ7yXFsd15p3M9JzJnpNo8+1eB+1Zh+J8+498lidg74Xod7NO6/p8xTmTp9XcT4n0Ndp4z5q2e4Euo91yfNMmqtNu/64RdIccb75z0mKNYABGIABGIABGIABGIABGICB7aO6BiwoP1QwAAMwAAMwAAMwAAMwAAPH/Bx0p9C//7nb/kPXEr1KW8lap5klL9dp4d6JdAnydVq6pzQfJdJr6nwpfe7rZIv0mj7PpHkV6PUeWolepXl5XF9XJfq6s9z9tfv+c0579/U4oe4U9yiJvk7NJc19rcdf98rZ9u01hV5rqZV7zkOvEt0z0Gvr9irPfX9z7dslwDuZnnI8E+j1+FwC3TPOlTh3m3YS55v/jKRYAxiAARiAARiAARiAARiAARjYPuprwKLygwUDMAADMAADMAADMAADMPCMSqFbomca3eK5axUuOSmRXiV6FeeW5V0avZuBnvI8tymuU6qP2pvPzQzvEtxLAt2Ps317FedrtXQfSPQ5WT73XAr0mpR3Ar3OSE/xXFu6p+SeS5LX89d9XSfRuzno3bFOlncpdMvzrmV7CnTdi8V4CvSU5k6d5/GRQK+z0KtUz1no2b7d6XPmnG/+c5FiDWAABmAABmAABmAABmAABmBg+ylbAxaXHzAYgAEYgAEYgAEYgAEYgIFjXqCrXXSV6Cm/qzhPAStxqfrOrb/5xynRu/T5SJp34rzK8xTe2drdM9m7Vu6jFvD5xwApn5fmn6dA92tH8nxplvycRM/n5sR51xmgE+j166vfw06gL1UV5U6Zz0n0JYFeZ6Gv08J9NPu8ptglz1OgZ+I8tynT123dnrK8S6O7hXudg26BfsM5f/fxbN9O8nzzn4sUawADMAADMAADMAADMAADMAAD2wh0IOCDAAZgAAZgAAZgAAZgAAZOXAaUeO0kumX41LL81vfvitdMAE8J9Ft/849dkuh/+MW7//ucSM/W7XMJ9Eyh18R4lz4fnZtt2utrLJi7Fu4jie70eW3hPhLnSyI9X1u3vv5SWr0K9Cr7q0R3i3d/L49Eoq+TQp9Lo9fz5tq2dy3cU557X8+ZS1eXQLcon2vdXtPmelzl+FwL95E8T4Gubc4/P/tVr342An3zn4kUawADMAADMAADMAADMAADMAAD2wh0IOCDAAZgAAZgAAZgAAZgAAZObAYyia6Z6H/4iffdO0nx265eZTl1ruf++bsvekznuZZS6CnOnTK31E2Rns91bdw7Sb7Unr0+rmWZPifPM9XdCfQqwOfkeSfZu9ev2+bd99/daybtc4b9KIVeRfqcVK9ifKml+5xo9/sszUCvlcnzup8J9Jx/nsI8ZXon0O+86O/PtmvvpHoV7HX+eSbQLdA1/1w/gwj0zX8eUqwBDMAADMAADMAADMAADMAADGwj0IGADwIYgAEYgAEYgAEYgAEYgAGn0dVGuor0bNWuY3pO5+jcPC8FupPodQa696soz20V3aOW7JlE93k+lq/NNHp3bQvzTKEvtW/v2quPBPo62+4ao+vX/RTo7haQX1P94wGn0FOgV4leZfaSUJ9rzd7NQh/VqI37aN/SPOege/55tm/vWrhn+/YqzufatY8ed9K8ynPv1/nnEujMP+dzmN/FMAADMAADMAADMAADMAADMLB1nK/Bxm+AYg1gAAZgAAZgAAZgAAZgAAaOhAElYS3SLdMl+VR6rOdTtqv1uyV6lefdDPRMonu/ps87ae7HtYV719Ldgrumr2s7873MQK9Sfm5++Top9E6Gzx0bHU+Bnunz+vVlq/e9CvR1U+lzafO9zkIfpdG9n4nzKs9rC3eJcifQR4nzTqArgT4343xJnOdzmUBHoPPZzO9nGIABGIABGIABGIABGIABGNg6Addg4zdAsQYwAAMwAAMwAAMwAAMwAANPhgG1k/aMdJeOubq27zk/fW4Gepc+z1btKc+79PnSLPQqzjuB7tnno/nnKdJTRnfyfK51+14k+VwyvZPwdf55bd9e1yDbuM+1cO/ked0eSS0l0LsUeifSc79r3W557tbtLrdwz9btdQZ6CvRRa/acdb6UTO+S6Bbonn+uP0Yhgc7nNb+zYQAGYAAGYAAGYAAGYAAGYGDrOF+Djd8AxRrAAAzAAAzAAAzAAAzAAAw8WQZSmHdyvbZxzxR6J9AziV4lehXq3fzzKs0lkXXMMnlJoo+S6LWFe02hVyG91MJ9bl756Lk5ad5J9CWBXlu459fvFPoogT4n0Wsi/Ujmpc+1dJ+bh56P69zzKtGzdXvK865te5173s1AT2m+NPN8bgZ6ps8t0M9+1aufzfxzPq/5nQ0DMAADMAADMAADMAADMAADW8f5Gmz8BijWAAZgAAZgAAZgAAZgAAZg4KlkQMJv1Ma9JtBTmmcL95pAT3k+Spr7cR63SK+iuD6ea+c+lz7vBPo6c9BV3fnrzD4/LHX+J4/NyvOU/aP7dfk166bQR+3VU3xbVlcxXiX53Kz0pTbuowR6TZ77+S597qryPGX5KFU+J9H3mkDP+efu7sBnNp/ZMAADMAADMAADMAADMAADMAADW8fxGmz8BijWAAZgAAZgAAZgAAZgAAZg4KlmoGvjPjcHvc4/r0n0uRnoXct2p88zhd6dt04CPVPoFtF7Eeij9u05j71r977OLPWU51Wg11nt3ezzuoadQO8kesrsLiFexbnLKe8ufe7nujno9fFI3qcwz/nnluY1ga739FayvBPoFt+5nyn0kTSfm4++zvxz2rfzOc3vahiAARiAARiAARiAARiAARjYOkHWYOM3QLEGMAADMAADMAADMAADMAADT3cK3XPQuxbuFuS1UqqnSK/t27v0ebZuzxR6SvQqk1OcrzMDfdQOfWkOus6pEr1ryb4481zy3FVS7RboNYU+EuhdC/cq0KtIX0qfW4RbUvuYRXnd1lbuXWv3JYmeAr3bjlq3zwn02sa9psn3kkAfJc87gU77dj6n+V0NAzAAAzAAAzAAAzAAAzAAA1snyBps/AYo1gAGYAAGYAAGYAAGYAAGYOCpZkBz0DOF/u/+2R2PW6BboluS19R5J8xrC/dOos8J9U4Y+/xRC/c5kd7J9xToczPNu4T6bP3JY4eel+K8CPTawn3Ucr6T56MZ6FkjkV73LapTfFukV2leBfpIps/NRJ9LoteW7TWBXlu3V4leW7hXkT5q5T4nzkcCPeef076dz2l+V8MADMAADMAADMAADMAADMDA1gmyBhu/AYo1gAEYgAEYgAEYgAEYgAEYeDoS6BKASqG7jXtK9KUU+mgWuqV3Jsm71uz1eG37nvK8brtaEuidPF9ntnmbKq/7uVX9P39w+P6CQJ9LzLt1e23fPifR5+R5TaFnAj1lueR0bv2c5PRIpI/S57nfzT3P5HlNoFuaV3EuwV3T597v0uhdq/au9bvFeZ19ngJd88/1RyjMP+ezmt/XMAADMAADMAADMAADMAADMLB1AqzBxm+AYg1gAAZgAAZgAAZgAAZgAAaeDgYkALONe5dCr0n0UQv3mjivIn1pOyfb5yR6leW1RvJ8KW1exfl//e7XDk+Yz7Vrn5Hnrv/xxUPluMrH8mvt5p6nQF+3nXvdzqXOLc6rRPd2LpHeVZeAr/ej93f6vLZvX7d1e51/PifP95JAZ/45n8n8XoYBGIABGIABGIABGIABGICBrRN4DTZ+AxRrAAMwAAMwAAMwAAMwAAMw8HQx0KXQLdCrOE+hPjfzfCTJLZA7ee79ruX7qIX7qI373BzxKs3rjPMq0A8T591+l0KPmefd/a1z3KWW7ZLnKcW75HnK8y6N3s1BT4me7dhTlDvZ7eT5OjK9k+g1bV4T5952En0kznO/Js+7eedPZv75P3/3RY+5fTvzz/mM5vc0DMAADMAADMAADMAADMAADGydQGuw8RugWAMYgAEYgAEYgAEYgAEYgIGngwG1n1Y5hd61ce8k+qiVe4r0pcR5TWPXFu41fb7Uvr0T6CnN8/1Gj2sC/b9886GxMF8Q6TU9/p9vff/udrrHna1T56r8enRuinPV46975WFVZ4unQB8l0au8ztbtXQrdAj1rTqCPUuidUK9zzi3z102f5wx0basUr7J8JNCrhK/yvLZvZ/45n9H8noYBGIABGIABGIABGIABGICBrRNoDTZ+AxRrAAMwAAMwAAMwAAMwAAMw8HTPQs827k6hj9LnSwn0URK9k+WjOeg1fb5OjQR6V51AtzDXvu6rS6YP558P5ptXeS4prm3dt0jXVsf/49svnaqKc8llb0f7VaRr1rjnjleJXueep0RPQd3tV4meCfZOpFuOO2Gex0bifB2BXmX4SJaPWrnPyXOX0ucS6Eqf6w9ONP6Az2k+p2EABmAABmAABmAABmAABmAABrZOkDXY+A1QrAEMwAAMwAAMwAAMwAAMwMDTyYBT6Ou0ce9qL+3c6/GaPPf1qgCvx5Zk+qht+zopdIl0y/NZid6Ic4nyKsurRPdzSper8pjl+Shtntvc78R1TaVXgV5T56OZ55Lm2cZ9nTS6ZXpuO6HuuecjcT6S55Lf3fzzLnG+JNBrCr3Kc9q383nM72QYgAEYgAEYgAEYgAEYgAEYONEZ2PgNUKwBDMAADMAADMAADMAADMDAplPo2cZ9L63cU6bPJczrsZpStwTP18xJ9bo/lzivwryrQ9q3L4jzbLluae59C/JOrEuUp0hXjeS5SwK8SnQJam9/5+xfOExkdzPQM22eAj1bt2fqXLI5t1Wsj2ahpzyvKfO55Lmu2Un0FOY1ge5aEup7mX1uge727foZUfpcPzN8TvM5DQMwAAMwAAMwAAMwAAMwAAMwsHWCrMHGb4BiDWAABmAABmAABmAABmAABjYh0LsUeifPU5p3bd1Hbdpr6rw7NxPoVY6PZPlc+nyuhbvbtNckeh5Pme5kusuJ85TlWZLk2lapXtPnPsdt2+fS5zV1bmGube6PRLbkuRPfKbfr3PMqyKtAHyXSu/e0qJ+T6EcjfZ4t3OcS6D6WIt7ifE6gZ/t2BDqf0fyehgEYgAEYgAEYgAEYgAEYgIGtE2gNNn4DFGsAAzAAAzAAAzAAAzAAAzBwLLRxzxR6lzz3fhXnKco7Sd4lzvPxSIaPEujrSvMu8d4J9E621+NOnTs1XrffPvCWQ7ZVro9e18lzCfEuaZ4lGdxtfa4ed8I8559bWI/Eebc/mo3ezVTvBHqV61WcdxLd75Wpcctwb6tUH4n12r69CnTJc5XS5xboyHM+n/kdDQMwAAMwAAMwAAMwAAMwAANbJ9gabPwGKNYABmAABmAABmAABmAABmDgWGjjvpRCz/butY27BPUoaV4T53Oiu9aoVfuSRHdivB6v6fil6zl1bgkuQa754pLf2rokuvM5P59SPZ/LxynOa/l4SvSbz33xtD3wsr/1hPb92PsqS3GLdIvuOv88W7anMK+t3C2rfXyuhXu+T4rzTKfX50fyPGV33mcny+u2Svd8zSh9rvrn777oMQt0/Ywg0Pl85nc0DMAADMAADMAADMAADMAADGydYGuw8RugWAMYgAEYgAEYgAEYgAEYgIFNt3G3RJdAryn0KtHr7PM5UT6S57W9+5xEX0d0z52X0rxLnI9EfabOqzjvkuM+XsW6JXkK9FHyPKV5lepOmVueZ1mcd1I9ZXqX7q4zz+t+rS6BPtfOvUrzTL/PJc+rtB/J8pFA32v6vM4//9XXXvQCtW/n85nPZxiAARiAARiAARiAARiAARiAga0TbA02fgMUawADMAADMAADMAADMAADMLDJNu6ZQl9q417lede6fd0Eek2BLyXRlwS65bjP6a5fj3cz1VUpz1OGqzRXvM4pd7v1FOlVrqd8z3NGyfOudbsl+aiqRK+p9CrOu2T3nEjvWrovJdDr8TmRbhmf95rSu6bKR/J81Na9vr5r357zz0mf89nM72cYgAEYgAEYgAEYgAEYgAEY2DoB12DjN0CxBjAAAzAAAzAAAzAAAzAAA083AxaDbuPuWeidQO9qLoFet13b9LmZ6HOJ83UT6HWOeSfzR/Jc4vzf3/XuKXWuShGe0rzK75Too+rS56O27bVG0vzKX3rB9Ny1r/zZQ7YW6XqsmkR6JLNbUW7hXhLn2co9k+FL89BHMr3OPa9t5S27M33etXLP/SV5XqtLn9O+nc9ifh/DAAzAAAzAAAzAAAzAAAzAwBZrgEAHAj4IYAAGYAAGYAAGYAAGYODEZaBLoS+1ca8iPZPne5mD3rVx7x7vRZp3Un6UMHflY33NTp4rae60ueV4bjvJnSI9hbqv4+1Ikq8rzt918rNX3b4rJXoe2xXpRZLvPi7bTKqntK4t4VOYdyI9Z7CnSK/HR23cU9ynIK/CvBPp+ZqaRp9r3878881/PlGsAQzAAAzAAAzAAAzAAAzAAAxsb2QNWHh++GAABmAABmAABmAABmAABv7CiT4L3Sn0bOO+rkRPcS5p7XT6Omn0uZbu64rzUaVA19fh+7IslyhX5b6T52qx7hneKcZHglvbFNndPPPRrPO9yHO9R1ejBLrS6S4/PkSip0wvUr1Lemca3Y+1LqOZ6CnIayI9z+kqW8zntqboR5J8JM5HCXSlz7N9u+af08J9859RFGsAAzAAAzAAAzAAAzAAAzAAA9tP+xqw6PzgwQAMwAAMwAAMwAAMwAAM/IUTXaBLGLqNe02hd/PQawv3UYv3vc5AP1qV1/b9WKRbmHv7b+676RB5rpR4ynOJ5ZE078T2i3/sh1dnnPKcw4T6XPLc53bHs179s399urav36XPLcrzdX5sme40uuqG15w+FOlOmh+SVt8R59m+3ed1Ldy7tHkn2as8t6yv887n2rXXVPpoNjrt2zf/2UOxBjAAAzAAAzAAAzAAAzAAAzCwfcyuwcZvgGINYAAGYAAGYAAGYAAGYAAGnikp9E6cj1q2zyXRq+g+0rbto/btVZpn63anzVOcf+e2q9vkueV53dZUuIS2xPkP/eAPrJ71l35ot378r/zl6bhqLj0+ei6vrdL18rop6p0y9/VSmmv7xpc9/xCJniL9MIkelTPPu/bt2bJ9lECvs86XxPmodXvOYs8kvLedMB/NQq8SPdu3K33O5zKfyzAAAzAAAzAAAzAAAzAAAzAAA1sn6Bps/AYo1gAGYAAGYAAGYAAGYAAGYOBYSaFLotcU+lLKPEtCvJPrXfK8S6AfjVR6zjp34jznnEuYZ83J8y7dbYFexbnluSW3jqdM9zkp2S3GLcfzcb62Cvm8for0JSlvia5tSnR9rVWip5yus9BToqcE72ag5+OU6N3M85o+H4nx0f6cOF9KoNf27Xwu87kMAzAAAzAAAzAAAzAAAzAAAzCwdYKuwcZvgGINYAAGYAAGYAAGYAAGYAAGjqUU+p9/6beuzxR6CvF1Z6JbrmcKfZQ2z+dqkvxI5XmdfZ5zz6s8lzhXqXW75XknzjPdrVbqnTjXvsV2ld1VfFu0d9Ldr9U29zvRXo9Zpuse57ajlu5dCr3K9E56V1k+l0zvEugW9JlAT+k9moWe9ziXOB/J8/fs3z/NP1f6XAJdPwfMPuczedOfyRRrAAMwAAMwAAMwAAMwAAMwsLXBNQBAAIQBGIABGIABGIABGIABGICBHYnezUJfV5p3qfMU6KMEeqbO9yrQ6/n5ft3cc9WffGzfbuLc4jyT550wz8S5RXlt155lud6lxet2nRqdW+V8bfFuoS5pXgV6tnTX17crz0sr9yrPa0v3Ln2+1Na9a9/eJdBzDvpconxuLrqFfCfQlTzP9LnbtyPQ+Uzk9yIMwAAMwAAMwAAMwAAMwAAMbJ3Aa7DxG6BYAxiAARiAARiAARiAARiAgWOFgSNNoVuau4V7bd0+J839+Mmkz3NmusW5BX4KdKXOJdBTnHfyvGuFXsV5nUue8rzuL4nwvYrzpar3lNexUM/W7plCP0SgNyLdYrvOQ69yfGkmurddqr2K7y5dXo/lc1Wa5+MufV7btyPQN/9ZRLEGMAADMAADMAADMAADMAADMLC9sTVg8fkBhAEYgAEYgAEYgAEYgAEYgIGdBLrkYZdCn5uFPjcHfUmaz809PxKhnu3bO3lek+eSuBKxnTx31VbtmfD2DPQ5af50Vjd7Peev13tfR6CnKK+ie24O+mgW+jrp85yBbgFucT8359zn1/0qzz979eunfaXPLdDPuOAdl5BA57OQ34cwAAMwAAMwAAMwAAMwAAMwsMUaINCBgA8CGIABGIABGIABGIABGICBdVPoo3buPl6T5xbqdf55leaW5Zkk36tA71Lo2bo9BXq2bZdo7eR5ivOU527NbgntyuT3XsW332+0HZ03V3lPXbt5X8dJe1W2cK/SvO7Xrddy3eT5nDjPJPpc2rwK9ZE472af337gximBLol+5oVXfP0Vv3blDee+Zf+Zluh8LvK5CAMwAAMwAAMwAAMwAAMwAAMwsHWCrsHGb4BiDWAABmAABmAABmAABmAABo6lFPo6s9DXnYue0jznotcU+tz+KGHePTdq3f6d264+ZPZ5N/fcMtniOeV5leiW1Fe88uenWeKeMa5j2t7wmtOn55TszpT6nBSv+/V1Xem96nm+vxT7Kc4zge5W7nUGepc679q1pzBft117J8392FI8Z61XMV6ledfyvUunHybQdxLokui/fP6vf08S/aXnvPHOTKJv+ueRYg1gAAZgAAZgAAZgAAZgAAZgAAa2NrAGgAd4MAADMAADMAADMAADMAADMFAk+iiFvpdW7k6fW2p3Qr1Ljx9J0jz3M32u8tzzddLnmdquc8S7+eeXXPbWSZZbmEuma98J56n2vfYJCVwd1/Mpvi3MvW+hrfNUvifLbm/1Xvm+lvcpzlOupzjP89y+PdPn3WzzmjSvSfLu+Ny5db8emxPjoznnc8/pcZdA11by/MJzzlqddvbF33/h6ed9SxL9p3/6RVtnv+rVz2YWOp+N/H6EARiAARiAARiAARiAARiAga0TcA02fgMUawADMAADMAADMAADMAADMHCsMXA0ZqGnKLdErzPQLb9rMn1dkV7Lx5U+z9btnUB//HWvnMRuCnTL5Sqbs9wSXfJcElYCW5JWwttiOwX6vZ+6ezpP5ee++Vs3TMemWdyxzdcdcmyn/F5+nOI+28lbnmcK3cI8Z5+7LM4ty11Vntf97rl8XNu119T56FjK8zyna+dehftS+/ZcV30PJc/PftlLVqe/6IWrk37uzO9Jov+tk0+5RhJdPwdI9M1/HlGsAQzAAAzAAAzAAAzAAAzAAAxsP61rwILzQwcDMAADMAADMAADMAADMAADR5BCT5kuGb6uUPe5Et2jVu17nYPeJc9HAr1K9Jo+7+aT19JxSVfJV4tzSesugf61D195qEA/cOMTX/ryQyuJdVem1Xf3i4BXq3GnzrWfqfZMm1ugO81e77se09evNvZO5adEzzR5J8lrujwT5+vOQJ+bq17F+JGk0Uft21WW56c9/yefUP2N5/zVP33BSX/tO6ec9LzbX3DyyRe4lTsSnc9Ifk/CAAzAAAzAAAzAAAzAAAzAwNYJtAYbvwGKNYABGIABGIABGIABGIABGDjWGJAwzBS6JboFesrzuVR6Js/XnX++V4FeW7pXgV4luksivZuBXuWytxbNLh/rnqtC2tJYc8a1tVTX9svXv3k1paJ3EuWW6D5Hz6n0nNqt6xra11aPfa+ZOu++ltHXp3vV/emPClR5zzWRXmV6Tarn17qXGeg1SV5noOcs9KXUuY+5dX4rz3f+OEHy/H/7sf91EujPOfmgSFcK/ZTnPfchp9DVyh2JvvnPJIo1gAEYgAEYgAEYgAEYgAEYgIHtp20NWGx+4GAABmAABmAABmAABmAABmBgIYUuiS6BvtdW7mqlPpqNXuegp0j3thPotdV718q9S6FborucRpfoTinufaXT16n/+PZLD9t63+XrVcm+1xpJ/JT9VZCPys9LRmsNLNCr+E85XkV614J9KXFeX5uvV1v2KserPF83hT4n0PVHC0qfW57/7ZN+YqX6iR991n/aTaHvSHRS6Hw+8jsSBmAABmAABmAABmAABmAABrZOsDXY+A1QrAEMwAAMwAAMwAAMwAAMwMCxKtC7Vu5dCn0pgb5O8nxOmi+lz1OeS9qnQLc8V33ntqt3RbofK40ucSyZXsX40ap1ZfxcpYSfk/FdGj6Ped8CXYJb0jyrJueXUufZ7r1Lm/v4SMDnjPOuZXuV6Ou0ax+2b99ple/0ueX5jzz3pw6X6Cc973an0GnjvvnPJIo1gAEYgAEYgAEYgAEYgAEYgIHtp2UNWGh+2GAABmAABmAABmAABmAABmBghgEJdLdy/8NPvO/eI2nlXpPnXfr8SGudBHpt517FuoW6ytL7P9/6/sOqivHu2LpCvW47eb9Xwb5uer22nl9KnHfivDtWZ6Pn8ZpAtxjvjimJ7kS6qmvfnsc7+Z4ivabPL7nsrasf/yt/eRLoVaJboKvUzj1T6HxW8lkJAzAAAzAAAzAAAzAAAzAAAzCwdQKswcZvgGINYAAGYAAGYAAGYAAGYAAGjmUGuhT6qJX7XMt276c897a2bj+S5LmlucX5SKCnRFf9m/sOnqd70WtSlncSfSTVl2T60Ui1j4T7XlrFd7PbO3m+JNJrO/ZRy/ZRC/cU7jn73PK8Js+7FPpc2/a5BLrS58/6Sz80SXSLdAl0bVOiT/PQI4UeMeUpAAAgAElEQVSORN/85xHFGsAADMAADMAADMAADMAADMDA9lO+BiwyP2gwAAMwAAMwAAMwAAMwAAMwsCDQO4n+/c/d9h8s0NediZ7ivMrzJ5s+XxLo9bElul+v+/kfXzxYKdJdOl73R9vc34sY32s7+G7WepXo3s8Eutu333zui1cqyWkdn0ubj5Ln3Tz02ta9E+71dSnKnTyv6fP6uIr0JYH+2atfP6XPJcolziXRLdJ17C8+638m0Z9z8ktWk0B/3nMfesHJJ1/ALHQ+J/ldCQMwAAMwAAMwAAMwAAMwAANbJ8gabPwGKNYABmAABmAABmAABmAABmDgWGdAAl3p266Ve6bOvT9KoltU537OQF9Hquc89U6g5wz0POa0eZXsei4T7dpapFc5Xvfr4ye+8+VDnlMdjZbvo9eNZPooiV7T55Lnc+K8S6HPSfDu+Zo8r+ny3NY27jV57rbuc23b29R5SZ//0A/+wCTMLdAlzi3VJc9ToLuNO7PQN/85RLEGMAADMAADMAADMAADMAADMLD9tKwBC80PGwzAAAzAAAzAAAzAAAzAAAysycBcCt3ifCTPqzhPmb5O2jzP6+aep0jXVoLcMt2yPAV7Pu9rS3hL3v9/3/jcIWnyrqoot0D/L998aPH1IzmereMt30fz1zuRPkqkj+S50+cuP16af57CvD7Olu1VqHev6Vq1d/I8W713KfSl2ecuJczdut0CXeU27inQ3cb9Z37pNV/IFDqfmXxmwgAMwAAMwAAMwAAMwAAMwAAMbB3Ha7DxG6BYAxiAARiAARiAARiAARiAgWcCA27j3qXQnUTv0uhLrdy7bd1fR5x3rdzXLb/W79Ml0NeV6Kr/+t2vHZZSl9yu1/KxkUDPx3OJdAvzL1//5rXmnlugezvXsn1uBnqXPu9atXft2vM1Eua7Er/Ic2+X2rfXFHon0C8856zdWecW6HUOutLoFuhOob/w9PO+5RQ6An3zn0UUawADMAADMAADMAADMAADMAAD20/pGrDA/JDBAAzAAAzAAAzAAAzAAAzAwB4kugR6ptAt0FOiL4l0C3K3aq/ivLZUr1ufk+VW7Bbi3Uz0JYFeXz+XQB/J9JF0Hwn0Toxn+/e5BHqXOl9Kno/k+V7nn1dpPjpWn0+JnsctyOvs87rftW7v5p936fMrXvnzkyivM9At0juBbomebdz5zOQzEwZgAAZgAAZgAAZgAAZgAAZgYOs4XoON3wDFGsAADMAADMAADMAADMAADDxTGPAcdAl0p9C/c+tv/vGSRN9rEr3OOa/bdVq4ryPO85wuxa7nUmDvRagvtWtfmnm+btv2LnneSfOsa1/5s0OBPifL59Lnc7J89JqaMM+W7XMifZ30+VwC3alzS3TNRHcb99Oe/5NPqCzP/+ZpZ66yjbsEuv6QZNM/ixRrAAMwAAMwAAMwAAMwAAMwAAMwsPUUrQFwARcMwAAMwAAMwAAMwAAMwAAMHEEC/Y4HvnGtBfq9n7p7NRLodTuS6JlGn0ugr1uHJMlLIt2zz72fz3cC/U8+tm+31hXq64jyvdZoznmmzpfkuWef79aOuN5L+/Z1Ktu01/3a2t3Hsn37qGX7OjVq437Da06fBHmmz1Oip0CXOJdA/7G/8w8OEejMQefzkt+ZMAADMAADMAADMAADMAADMLB1nK/Bxm+AYg1gAAZgAAZgAAZgAAZgAAaeaQL9ls88cv6lH/jsHfs+8uCjtx+48QkL9G/+1g2rkUSfE+ndzPNs017luZ+z/O7auFch3s1HH4nzFOj//q53T1UFehXlVazvNXVeJflS6ry2al+S55k6r/J8KVm+bgK9yvJ8XN8rBfmohXudf76UOB/J9BToZ5zynLZ9eybQs327E+jMQd/85w/FGsAADMAADMAADMAADMAADMDA9tOyBiw0P2wwAAMwAAMwAAMwAAMwAAMwsKY8Vwv393/qd3/hbTd95orzLr/xgQvec+e3rz/w8ZUlugT6v7nvYKq7ivQukW4ZnvLcx3K/ivPacn2d9HknyEfPS5xnSaBbkEui+3EKde2vK8nnZppnynwkzvcqzy3QO3meYrubZ/5kWrxXaZ7t2PP5FOdVmo/atleZvk4aXXX2y15yiDzP0uxztXi3RH/h6eceItBfes4b72QOOp+X/M6EARiAARiAARiAARiAARiAga3jfA02fgMUawADMAADMAADMAADMAADMPBMYcAC3elzCfT37N//xCWXvXWS6JLmEuiqTqCP2rinSK+yvCvL90ygZ/q8SvZR2nwk1UcSXSWhbVlugZ6Pn0zKPAX6XlPnI4mu1PVhbdt3BLpnoFfRfSQz0GvSPGV4TabXtHlWyvO63UuJSQt0rYH2tX3jy55/WOv2OgP99Be9cBLnLol0t3E/44J3XKI56Jv+WaRYAxiAARiAARiAARiAARiAARiAga2naA2AC7hgAAZgAAZgAAZgAAZgAAZgYM0E+r333Pcjbt8uea569Ttu/DPJSol0SXSn0F2dRO9S6N12SZqP0ufrtGivEl2SPOV5legW6G7nXmV6JsvzWE2S5/b3rr9omDBfN3WurUR4J9Aty0cS/UjkeVfdNVKu5/OdaO8Eej32ZEtroLrilT8/ifIugW6BnuK8E+iag66fBz47+eyEARiAARiAARiAARiAARiAARjYOg7XYOM3QLEGMAADMAADMAADMAADMAADz6T552rfboEuea56xYWXH0yh73vtE5LmnoXu7ZxMH0nzfLwkzTs5fqRt3Tt5boHureehZ9VkuqX5tw+8pZXnud2rOO8qxbjbtWfb9kNauO+kz7s27nsR6nMz0GsCvRPmcyn0uQT6kUp1C/QX/9gP76bOXXpsgW6JLnH+0rMvnLannX3x97ONu7oxINE3/7lEsQYwAAMwAAMwAAMwAAMwAAMwsH3U14BF5QcLBmAABmAABmAABmAABmAABo5w/rnk+blv+o0nJNAvPOeslSpT6NrmXPSU6DkPPSV615Z9ro37OhJ9NPd8nUp5viTQnSiv27kUehXl3eM83qXQJcPrtkr0Q1LoFugLSXQ/V2V5t9/J9FEb9zrz/MkIdbdn7x7XfZXW44xTnrMr0P/is35iNoHuev7261YW6G7jjkDns5PfnzAAAzAAAzAAAzAAAzAAAzCwdRyuwcZvgGINYAAGYAAGYAAGYAAGYAAGjmUGJAndvv3ct+w/0wLd6fNfPv/Xv2eBrtnRSqFbnKdAXzeBXsV4fTyajd7NPq8t3Ltje0mgZwv3LKXMVRLmqv/zmtdMslv7uV0nZd7J866yRbv2U5i7DkueNwK9m1t+JGWBXhPnc+3aR1Ul+VzivBPmluV+rNdnC/dX/+xf302d5/Zvn/QTuwJdLKc8/5kzfm1KoauN+yt+7cob1MZdf1Sy6Z9PijWAARiAARiAARiAARiAARiAARjYOsprAFRABQMwAAMwAAMwAAMwAAMwAAMLAl2iUAK9tm9/5WXXriTPM4GuVu6S5vd+6u5WotcUeibQ65xzS+51Wrh38nyphftInnfzz7vU+Uief/HKV00lAe7t/W85cxLfo+1Ikud+pswtzb2t0jz3d9PnjTjf3Y+0+V5lenfuXCv3mkSfS553c9C7BHqV5tPXvCPOvdVapEDP9u0//lf+8iTQn3PyS6b0eabQJc8t0GsKHYnO5ye/Q2EABmAABmAABmAABmAABmBg6zhbg43fAMUawAAMwAAMwAAMwAAMwAAMHMsMOH3ezT+XQK8t3CUvawt3VzcP3W3bXaPkuR9nAn2URl8nkb7Utr1LoFd5/p3brt6V5xLnLklziXFJYslvb7PFem27vpe68pdesFKlOK81TJ+X2oscr6I8HyuBXpPsI3m+lDwfzT4fHUt53lUKdK1bCnTJc1Wmz2sLdwv0v3fOpSt1XDjzwiu+7hQ6En3zn1EUawADMAADMAADMAADMAADMAAD20d1DVhQfqhgAAZgAAZgAAZgAAZgAAZgYEaeW6Br/rnluepXrrhldc7lHzhMoEtUjgT6XDv3JXHe1X975JNHlEyfm4m+lxbuc/LcAt3p7pTmFuDaf9fJz9495q2O5eP6mhTomUDP+edDiZ6p8xkhPifX67xzC/JOpqf0XreN+1IL90yZzwl0Xy/bt1uga9655bnS55LnNX2ukjS3PFcphS6B7hS6W7kzD53PUX6XwgAMwAAMwAAMwAAMwAAMwMDWcbIGG78BijWAARiAARiAARiAARiAARg4lhmQHFT6PAX6efvvXb3qnf90df6VByaBrlSu5PnZL3vJokDvUuhVpNftUuK8Hk9hXiX5ukn0TqQvCXS3bu/keabHO2FuaZ7bPM/p6ZTlmTjPx1Wij1LnnSQfifMq26tEtzTvkugpzkft22syvTuex0bzzUcy3e3bLdAlzZ1Al0zP9u1Ontf0+UvP27d6+QVXHZJCP/ct+890Ch2JvvnPK4o1gAEYgAEYgAEYgAEYgAEYgIHtJ70GLCI/SDAAAzAAAzAAAzAAAzAAAzCwRvv2Wz7zyPkfvO/R+9/8kYe+d/61969ec81duwJdCXTJc5VEehXoo3nonUAfyfQqyefat3cJ9CNp6T5q5T6S6HMCPUV6Cu/cWpbPndOlzudkeRXnuV2S6Uuz0KtE71LpexXjS9ucc57yfK5tu7fZwt0JdM8+z/btI3luga7RBRLonUTn85TPUxiAARiAARiAARiAARiAARiAga1n+Bps/AYo1gAGYAAGYAAGYAAGYAAGYOBYZSDbt9/xwDeu3feRBx+VQH/DBx5Yve6ffHJ18XtuXb3m8utWKdCV8k2Bvs4sdG8lrb3tkuhz0ry2c09pvk57973MRU+JboFek+hu4+4Z6F3Ku5Prnfiux7Nde1s7bdp3t3uYeb4k1DtpPkqed23c1xHp9XFt1V7bto+S5ynPnT5XnXHKcyZxPhLoLsvz52+/7pAEugT6q99x459lK3dLdFLom//colgDGIABGIABGIABGIABGIABGNh+UmvAAvJDBAMwAAMwAAMwAAMwAAMwAAMDBjJ9ngL9sgMPrt5ww29PAv3Sd16/uuSyt07yXEIyBfqojXs+XyV6JtMt1DuJXrd7SaOvK9Hdxn1JoLtSpKdEz5JQd0Ldcl3bTnCnfB+lyUfp8lHafC8SfSl57m2K8lECPeeZd7I8Z5bncz5uaV6T6CNpnqlzl9h848uevyvQ1cJdSfRu/rkS6BLnTqFbplug6w9HLNGVQs956Hym8pkKAzAAAzAAAzAAAzAAAzAAAzCw9Qxeg43fAMUawAAMwAAMwAAMwAAMwAAMHOvpc7dvP/CZx//oylsfXr3tlodXkuiXXntXK9C/9uErhwl0PTcn0GtlKr3ORM/U+ToifSllvpcUukV6beWeSfRuNnpK9CzJ5k64+3hK9e74kSbKj3Zl+txVH9fKpHnd1v1a4i2l+XR+zIDP1u0qCfQX/9gPT/J8KX2eAl3yXFsJ9DMvfvchAr22ct/0zy7FGsAADMAADMAADMAADMAADMAADGwh0IGADwIYgAEYgAEYgAEYgAEYgIGjL88zfW6BfvWdX1lJoqveftPvTCJxlEDvBPpoHnoV6hbmSzPRLdG1zf0lgb6UQHf6vNt2s9CrRF+S6d1jS/Yq3EdVk+p7EepHK4Ve0+feVnG+1LK9ynOnzOu2ps2zTftoa3nu+ecW6EqfS6B36fNMoEueu15+7mW7Aj0lulu5K4XOZxG/j2AABmAABmAABmAABmAABmAABraewWuw8RugWAMYgAEYgAEYgAEYgAEYgIFnQvr87i9/+0EJ9Pfc/ehKEv3Apx/ZbeP+nv37n7jwnLMOEehdy/ZRO/cU6VWaS1Z3CfTcXzd9PpqP3j23bgK9inRJ9LnW7iPBPpLtluVLcj3ldnf8qZDrVZbXYynNawq9ps5rm/ZR4jxT5ynJ6/4ofe727apOoEucayt5XhPornPf9BtPpED/5fN//XuW6EqhMwd9859hFGsAAzAAAzAAAzAAAzAAAzAAA9sIdCDggwAGYAAGYAAGYAAGYAAGYOBoMaA5zpk+tzy/8f5vra679+srSXRtRwLdbdrXEef1vC6R3qXS9zL3fK9t3J+MSK/1nduuPkyoV7E+l1x3Ov3x171yV56nRB/J9LlW8E9Gpq8z/zzT535u1L591K7d25o8F19VlI/Eueeez7VvH7Vwl0iv8vyl5+2bEuh1DrqEuiS6U+j6+UGi83nM72QYgAEYgAEYgAEYgAEYgAEY2HqGrsHGb4BiDWAABmAABmAABmAABmAABp4J6fO7f/e7f/rhz31rJYkugX75rV9d7fvog6tfv/aWQwS6tusIdJ2T541aumcKvSbRazt3bTu5Pkqb1/btXTv3kUxPeZ5ble47tynSa8v3dRLrozbwnVBfp56sTLc8r8LconwkzeuxTJ8fMsO8PO6kedeqfSTOLc9H7dudQHf63PLcc8+9L4E+tXG/4KrdFu6S5xbonoWuOeiW6Ij0zX+mUawBDMAADMAADMAADMAADMAADGwj0IGADwIYgAEYgAEYgAEYgAEYgIEjleeqmj6XPFfd9uAf7Ar0yz56cBb6uz907yTRNQddAl2iMuW4RXjuSyaPJHqXRJcU75Loc+3bqyhfmnm+JM87kZ4p9C6ZbvFvmS6R7q3WwK3fu5T60ix1l5LpnVQfpdPnZqnXfVWV5Z04H+2PUud19nknzZ08d7v2up1Ln/ucKs/dvt0C/Uee+1PDGei1bbvkuQW6tpbn3kqgO4WuOeiS6BbpJNL5POZ3MgzAAAzAAAzAAAzAAAzAAAxsPYPWYOM3QLEGMAADMAADMAADMAADMAADx2L6vJPnKqXQb/jsd1f77nzsYCv3u7+6uumO+6YUulphS1J++fo3T1LYojwluisl+jot3VNG54z0bib6Uvq8S6F3z3USvpPonVT3veaxKtlTqFumz0n0Oke9E+p7TaanLK/JdMnzmlBPoV5btc+J8lH6fNTCvZt3vk7V5HmXPq/zzzOFXtu3q059xVsOEehq494l0J1CVxt3zUJXSaZbqKdMJ5m++c87ijWAARiAARiAARiAARiAARiAgW0EOhDwQQADMAADMAADMAADMAADMLAkz7v0ueW56tZ/8X9PAt2z0Pff8dAk0K8/8PGpfbsk5Wevfv0h8lz7mSj3c9o6hX77gRuf6NLocy3du3buuT+XQp+T5XOifW6Wet5DzmvPe/W2a/Fuid6J9DmhPld7Eek1iS5Z7lo3gT5KnVdxnrPNqzQfyfPayl1yvKbOa/J8lD63PPf88x/7O/9gV56r3L79+duvm7YW6JLn2jp9bon+igsv323jrhS6Wrm7LNRTppNO57OY38cwAAMwAAMwAAMwAAMwAAMwsHWMrsHGb4BiDWAABmAABmAABmAABmAABo4Fea5krOR5TZ9bnH/qa/9uKu3/xn3fXV31iccPJtDv/frq8vfds9vGXZJScjRT5hLDNVXuhLoFehXpdY56J9I7ib5OunydVu3rtH2vNZeGryn0OjvdKfQ5md4J9CWZfiSz0ucS6KPkubfd7PO5mecp0jt5npJ8rrrUecpzSfNMn8+1b88EetfCXeXkuerMi9+9skC3RFd5/2d+6TVfsFSXTFf99E+/aGsk00mn8zth078TKNYABmAABmAABmAABmAABrZP6DXY+A1QrAEMwAAMwAAMwAAMwAAMwMCmGZC4c+t2pc+zdfv9X/n2bvJcAl3by+/5g9XrP/rI6k0f+9rqnXc+urry5s9PCXS1cT/7ZS+ZBGYK8JpAt1CvKfSuukS6Z6LXJHpuq8hepx37OvPTl15bJXq9r9rCPSvbuadAr4n0pVT6kkzvpLlT5jWRPkqgL7Vv71q1dzPO15HncxI9nxvJc3VFqLPPlTzvWrdrm/L81J327ZboUwv3C65avfKya1dVoLte/Y4b/8wy/bSzL/6+64Wnn/ctlYX6C04++QKJ9CWZjlDnd8Smf0dQrAEMwAAMwAAMwAAMwAAMbJ9Qa7DxG6BYAxiAARiAARiAARiAARiAgU0wYDGXyfPaul3yXOX0ueS5yrPQ99/3f62uuP1frt7/iS9NbdydQs827pbn3q9z0TOJ7pnoTqHPtXW3PLdQ7yR6ly5fkuRd0nydFHpe47898sn2utm23dtOpEuYdwK9ivS5melHo527xfle5p7PCfRRq/YU5+ukzzuxPifPJc1/6Ad/YJLoSp3n7PNs3+527Tn7vKbQq0CXPHc63QI956LrsQW6rnXSz535PVXK9L918inXLMl00un8nuDfCjAAAzAAAzAAAzAAAzAAAzCwhUAHAj4IYAAGYAAGYAAGYAAGYAAGnhpprrS5550fJs6LPLc0dwJd9cEH/mgqzUJXG/cb7//W6q0femD19pt+Z0qhK90rEWr5neLcLcqrVPfzNYH+5evffEgavWvnbiFtod7NH5+bd75O4nyvbdz/33/xyXYme02gdwK9E+ojiT4S6FWkr9vKvabOR+nzw+rcF7fyvIrzOYkucX6krdslzb21PM/0uQS6RLpnnqsyfS55Xlu3V4HukjR3SaZLkk/z0Xf2s717SnRdyy3iLdIt0yXSTznpebdbpluoMzed34P8HoQBGIABGIABGIABGIABGICBrad5DYAO6GAABmAABmAABmAABmAABo5LBrL9s5PmVZpbnGfq3PLciXPPPU+BrsdX3fP7q/d+7l9P8vzqO7+yuvLWh1fXfPyBqZX7heecNYlMpdBzFnq2ck+JnpK9inNtq0QfzUZPkT5q577XGekj4d5VbRlfK1Pn64jzuVbuKdS7OelLLdyrQPe885pAz8cW49P+uS/+n8dCnneSfB1pbnHeJctH227uueR5bd0uee727SnQR7PPM21ukZ5CPQW65LjFeQr03FaBLmnu99W+EvBPVqbT5n3zn7kUawADMAADMAADMAADMAADMLB1nKzBxm+AYg1gAAZgAAZgAAZgAAZgAAaOBgNVlluYW5rXtPkH73v0ftWBzzz+R6oqz7vW7Uqd+5jat0uiK4V+3b1fn0qt3FOiS5DmrPOsFN9dAj2lebZzrxK9toTvZqNXeT7Xzr2T5+u2cZ+bhV6ludu0u/R11PbtOpbyvEuid/K8k+h7SZ/nTPQuhT5q096lz9dp2b6UMB+lzr2fbdu7uedu3y6B7vbtVZ4rge6SLM/k+ak74lz18nMvm9q3S5ZLoGd7dz1XxbkT6C89+8LdGevPe8k/PkScp0CfS6bPtXq3UEem8/uEf1PAAAzAAAzAAAzAAAzAAAzAwBYCHQj4IIABGIABGIABGIABGICBE5WBdYR5TZunNJf01lbzzJUqT3meiXOnzm968N/uPta+5Lm2kulKoet6V978+dWl1941tXJ3Cr2bhd6lz2sKvas6F722gJd8TpmeyfC5uejd8e6c7rHE+GjOep5jgd7NOJ+rmjSfa+e+Tvt2J9C7FHq2cK9t3Jdat68rzGu79lH6fCTOa+p8Tp6nQK+zz10S45bnFue5zZI0lyCXQFdVgW6xbpmeCXQL9Jy7boGeNRLpnUzPdHqXTN/0ZxTFGsAADMAADMAADMAADMAADMDA9jNuDTZ+AxRrAAMwAAMwAAMwAAMwAAMwsBcGakv2Tph3Ldolzvd95MFH3/yRh76nueWS3Wq/XuX5l77xbw9Jm+f8c211bgp1lc7VtVS6rlPokuiSo0qTV3EugZzCe9TKvUukZxo9U+kp0rOduxPpc0n0UYp8TorPtXLPrQX6SJ7XxzV57se1fXuV5nMt3DuJ/tv7zp2df+527bm/K8wX2rbPCfQU5kvifKllezfzXEnzTJ9ra3meLdzdtt3iPFPnp/yDg1sfP3WnjXvOPrdAlzx3WZinQNe+ztN7SZBb4tdaR6ZbqJ/yvOc+JKE+l0ynxTu/W/j3BQzAAAzAAAzAAAzAAAzAAAxsIdCBgA8CGIABGIABGIABGIABGDgeGZibZV6FeW3R7sS5xPk773x0dc0935gS4xbeKslwiXOXHkuKpziv+y4LdL1GMl7XP/DpR6Z27pLol1z21kmaSnJ3ifPawr1r5z6aiz4S6aP56FVur9vGfV1xXhPp3bzzdVPnoxnnoxq1bq/yPIV5Pq5p88XkeSPMJbrXSZ6P5pyP0uadQF9Xnqvcur2bfe6W7TnrvKbOddzPWZJLnntOuuW5E+iW5pboKdD1nhbmP/Lcn2pF+pw8n0unj1LpJNI3/xlOsQYwAAMwAAMwAAMwAAMwAANbz6A12PgNUKwBDMAADMAADMAADMAADMDAkjRXZdp8lDBX3f3lbz+YbdqvuP1frvbd+djqrbc/Nm0luFOeqyTCU6A7YZ4z0POx9lVOqr/3c/96dfk9f7B6+13fnFq5q/bf8dDqpjvumyS6pOnt+177hJPntWV714p9qaW7JXqdlV5fnzPR3dI9k+JLc82X5Hlt5V4r55zPCfJRAn3Uqn0kz9dJn6syfZ6p88MS56OW7ee+uE2epyyvqfORFB8l0Z+MPO/S527d7uR5ps5/7lcOynC3c0+Rni3dnTy3QJ/EebRyd3t3z0u/9J3XT8c0A12PM4UugV4rJXreq+amq9z+PVvAS6KnSH/pOW+8M1PpiHR+x/DvDBiAARiAARiAARiAARiAARjYQqADAR8EMAADMAADMAADMAADMPBMZWBOmlucV2FuWe5SwnxqpX7PN1ZXfeLxSZ5ffutXV0qgW5rnc5LmauGeAr1LnTtpngl0HVMKXQJd+0qf6330/pLo7/7Qve089JTc2c69ptDnZqI7hV4lulPoNYle5XY3H73ONM/9pWNzAr2T53P1VEjzTJ9bnGf6vFZK87k27U6ed/LcdSTyvEpzb3Pe+Zw8V1me17btNWHutu0pzbvW7inQd2efh0BXe3enzXeF+rmX7c5a17Fs4y5p/hef9ROtSFxekhkAACAASURBVNd5FucqvT5FugV6J9FrKp3W7pv/bKdYAxiAARiAARiAARiAARiAga1nyBps/AYo1gAGYAAGYAAGYAAGYAAGTmwGatI8W7Rn2vxtN33mimzJXktSXOI8y5L8/BsfWF1881emxz72po99bXXuB7+ymz53G/ff++M/n6S5pHgn0G/47HcPkeja17G8jmT6Vff8/urKWx9eXXf3V1e3f/qhSaJLgOY89BTlVZ7XBPrcXPROpNc28SnRM5WeafQq19cR5d2xTJ0fiTxX6b4tyucEehXnI3k+Eui1bXubPG8EerZrr+I85XkV4UvyvJt1nhI95bnEuUsCvcpzCfUU6CmkU557X8I8H6c8d9q87vuxU+qS5bqO3kMSXS3cJdH1fAp8VZdAH6XRVbq3nI+eAr2K9CrT66x05qRv/rOfYg1gAAZgAAZgAAZgAAZgAAa2jtE12PgNUKwBDMAADMAADMAADMAADJy4DFRpPkqbO3FuWe455irJa1UV6JLdluVuv64W7hLn//DGh1cvvfK+SaDruMS35pc7gW5Z7hnnmTjXe+n6atuu57Kdu2X6b9z33dWFtx1s5640ulLp937q7sPmoc+1bV+S53Nz0UciXTK7ivSci16leJdMH8lzXTvlud+vE+eW4rl1jWT5uvPORxK9tmyvc85HyXPL8xTmPjZq1b4kz0fbOXE+Sp6ruuR5lecW6NpKbufsc6fNLdCdPM827p00zzbuPlet2lOSewa6nvMMdIv0bOWeKfTcT4luKV/buC+J9FOe99yHLNJPOel5t3civc5KV23685FiDWAABmAABmAABmAABmAABmBgeyNrwMLzwwcDMAADMAADMAADMAADMHDMinMnzlOeS15bllueW5prBrnktY5ZfFuE6zVn7P/86iWX/9Ykz3/xvQ8eItCdQHfiXK/za126pt9P+zkfXY93W8Pf8/vT/nvufnR6nzd84IEpha6Z6Beec9YkZ0dt3PN43TqZXaV6SnS1ie9mo9f3kjz3NqV4JtEt2GtL906aezs3y7xrvd6V7rcT61W4pywfifOaOh9J80mcx3zzKsk7aT4367yT4iNRPhLpFudL8twC3TPPLc9Pe/5PPpGy2uK8ynNLc21Vde55ps7r3PSU6hbxnUDX+7t1vM7LOeeW5KO56CnSc5Z77me6fSTTvd+J9JFMT6HeFb8/+DcEDMAADMAADMAADMAADMAADGwfd2uw8RugWAMYgAEYgAEYgAEYgAEYOLEY6Fq1ryPOU55bnCsFrpI0z62T4Zbbes1FBw6mziXQf/yCW6YU+nk3PzrNPnfb9pyBrtdZoKdU17VVKdh9fsp83YfmoJ9/4HdXb7r54dVlBx6cBLoS4hKikrhdEn2pqjyXUO6S6F0afUmid3PSu/bso1bt2bLd2yrOR+3X/Xgk1fWcvpb6uqV27bk/O+s85HkmztcR5zV1XiV616Z9KX1e5bnF+Uiep0BPeZ6VAv3Unbnn2mr2+UmnX3RY+/Yq2jNpnq93Ql2JdM8+VxJd4lzlOegS4ZLmTqnXJHrd6vz/5X/fPkymdwn1FOkHRfnhIl1J9EO2Jz3v9hTpVaanUF9Hqm/6s5ViDWAABmAABmAABmAABmAABmBg+6isAQvJDxMMwAAMwAAMwAAMwAAMwMDTKs+71LlnnKc8rzPOJaXv/t3v/qnlueW1RLVl+pvu/NY0f1yCW+dLqOscSXLNQZc4V0miS6D/o+u+OD2fAt372b7dMj3Fuff1Ppbovi/dw1k3PTK9vx4rif62Wx5evf2m31ldf+Dj0zx0SVFL9CrSa/J8VE5ruyyZM4leE+l57ZToo/2U6n6uyvNMmTt5Pmq53gnwTqTrfmtb9po6X0eaW5w7fX7YrPNMnUf6XPvZtn0pcb4063wuiZ6PU5yvmzxPea5Z6Nm6PdumW55LeCs97hS5ZXmtFOWuFOy+xjT7/IKrJlku+a2tkudOn0uYa1/bTJ47MZ7ivLZor8lzC/Qq0X1u/sFAXkNbSfO/8Zy/+qfavuCkv/adXbG+I9It01Oo70WqI9b59wT/noABGIABGIABGIABGIABGNg+LtZg4zdAsQYwAAMwAAMwAAMwAAMwcGIw0KXO1xHnktLeZvq8psJ1TK3TtS9xrfbsFth63WmXfmz1oy99w65El+BWAl3XkTT3nHTt1znoKdP9fp6HrvfU1s+lzNf+XV94bLetu0T6NR9/YEqiW6JrNncK9HVnoY9S6LUk0LM6Yd/NSfd+16a9k+eZNl+aVT5KjVeZPlejNu3dvPOaPD9EmEfqvJt33kn0Ou88U+frtmdfJ3XeJc8lyDt5rqry3JJ6Topr38dr+jxbuGfaPF/jtu2eh67EuB5LmCt5Lmmu+3AaXY+dQK/CW3X2y16y+1w+X1u8V4le56WnfB+1hO9kek2sd2LdQn0k1deR65v+PKZYAxiAARiAARiAARiAARiAARjYHq4Bi8MPCAzAAAzAAAzAAAzAAAzAwNMmz7Ndu8X5XMt2l1qhe+553UpaS35/+HPfWr319sdWl9z2e9Pc8dd/9JFdqS1xrdT5c894x65A1zlq6a7XSprrXF3DbdydLpcM70S69/V8SnRtJcy11fV0n5rNfvWdX5nu48pbH96dhy6JLllqsZ2ifCmFnuI8t25zXiW62rlXiZ7layy1kJc092xzJ847ae79JfHdSXTdYwp1b3U8r9G1aK/J87lW7a5OmLvt+kiaj4T5kVaK81HyfCTPPfc8JbLT3W7bnlJcAlzlmeZ5PKV4zjuvgr2W5Li2P/yzvzq9p1u3S5Zn2/Y834l03Xcm0p1C99fh/fz6unbuXVv3Uev3Ktwt03Pr1HpK9k6qdy3g5+Q6qXX+3cG/O2AABmAABmAABmAABmAABraP6TXY+A1QrAEMwAAMwAAMwAAMwAAMHP8MpDx36vzSD3z2jhTnVZ6/+SMPfU/C+Yrb/+XqnXc+urrqE49PJRktUX7xzV/ZbZ8u4S3J7vnmkuNKl0t8K1Wu+ec6rhS6pLmuqfMls3MGumS6BboFud4jpXkm0J18V2lf1/BrLPkl01WS6XpPnSuZLomuuvCcsyZR2kn0TKV3z+UxC3An0Ws791o5G72Wr28pXiV6Htf5cy3au8S5EuKZEte+j+e2yvR6jUybW5Zn4jwFekrzTJtn6rxK827W+ZHI8bn0eU2dj2aeS55boM8lz7N1e02dd4lyzT/P4ynF9bxnn9c27ynXXXpPCXSl0N223S3aU5BLsHtWuq6he7bc7lLpbseez43moo/keSff81xdX/ft99F+d67EumR6zlP/mV96zReyDXwn16tUXye1TmJ987+7KNYABmAABmAABmAABmAABrZPyDXY+A1QrAEMwAAMwAAMwAAMwAAMHL8MWACpbbtT5xbn+z7y4KNVnvu4BfrFBx5cnfe+L63OP/C7U6JcpdbsKs0w16xxi2ydK0EuUS5JLon+po99bRLWOldyXXPQNYtcolzi3ILdAl2iO+eg67qW5TkX3cJcW7eJd/t2leR5JtCVUL/wtm9OWz1WSaYf+PQj00x0SXSJ09v3vfaJ0Tz0kVwftXOvKXQL9SmNvu+1u2n0PCfbwFep7nnrde6632c0u7zK7hTnc5US3a/r2rPX2eaHJc6jTXsK9C5lvk6rdn2fjkbafNSyvZt3Pte2Xcckz097/k8+kfI8094W3Z537tnlEuGdQNcx73diPQW7kuR+3nJcElrH9Fw3kzwf+z3qfPNOiOs1bgnvVHpt7+79n/jRZ/2nJZler6+SFM+Z6vW1EutOqVuiS6jreNcGXmXBPjdffSTXq1Df9Gc6xRrAAAzAAAzAAAzAAAzAAAxsnQBrsPEboFgDGIABGIABGIABGIABGDi+GMjUpMS55bmS5ynPXRbn2qY8f9VvfmYS4SqnylUpyCWv1UJdqfQz9n/+EIHu7Rnv+u3VZQcenGS2kueS7xLoKotst3BXst1CXUJc182Eec45tyj3PVia63kdm56/46HpfSXONXN9Sr7f/dXpPSX/lYBXK/d7P3X3JNElVSWILbDXmYPeJdC9n0LbW4tzvY9EepXpS1Ld2xT0luVusZ6p8RTfNR0+KkvyTpbnXPOuRfsh4rwI86xs1V5nnXfi/Gi1aZ9r176OPLc472aej9Lnluc1ee5zLMyzdXsK9NrmPRPoFuiW2npOEj1nnTuFXlPkLr9HSmun0kdCvc5NT5GeVUV6VynNU/LPvcYS3eLcqXVVFe0p0rNees4b75RQ9/aMC95xSRXrc0I9U+qb/tynWAMYgAEYgAEYgAEYgAEYgIGt42gNNn4DFGsAAzAAAzAAAzAAAzAAA89cQd6VpI6kuVq2u227k+eW5hLkFuV13rmOSYYrMW4hntJc+5LRktaS0Dqmxz7PpWtMAn3/56dkucS4pLZkthPlF77/wZVEvfY98zxnoiv5Lomu13gOugW6hblkuYW527t7Drpep63S57pXXVvX076Oq5W7pLokumaUW6xKDGfKO+egz0n0mkDv2rmr3Bp9JNLnhHq9VhXmmRh3VeF9yyVn71Z9nOemLK/t2Q8T5jnbfEegW4jXNu1zM86P5pzzKsy934nzvSbPLc8la09/0Qt3ZXLK8yrHs5V7CvQuXZ6vyfNq+/Zplvl5+3bbsjuJruOeX16FdMp2v8Yt4Gtb9dEs85TqrmxjP1e+l5TlNR0v4V3bx2dVcZ4iPmV6Taa/8PTzvlW3VaynXN+LUEemb/73I8UawAAMwAAMwAAMwAAMwMD2cbEGG78BijWAARiAARiAARiAARiAgWOTgTlB7nLCPMvSvM47T3muUjt2tViXQNascx//R9d9cTdBnqVjek7t2CWkNeM8z3vV1Z9cvfxtB4W7UudT8vsTj09yW8JaZeGtrWT2ZR/9ynSu9iXH9RpJbbVxd0t3SXDJes9A94zzFOoW7LqOk+oW6iq3b9frJPuVdNfXfPmtX13t++iDq2s+/sDq3R+6d/We/fufkECVaJUo7pLoc9I8U+g5kzxT4inRLdJTomelTK+P9Rpv/XrL8pTmFuOHtFMflM+zSE/JPve6UQv2bq55yvEjEedLLdz1/LtOfvZhAl3HOmneifOU51Wca7/OPHdJYld5XueUq/K8lOq5r60Fus+vkl3i/OUXXLUryiXNVU6mO3k+ktiW/Zl0z/NTaDvJXlu2d23Zq2S3aM8Ue6bhte9r15bz9fhIukuGa9/bPN4J9K70nIV6FesS6irJdCXVR0LdUh2ZvvnfoRRrAAMwAAMwAAMwAAMwAAPbz9g12PgNUKwBDMAADMAADMAADMAADBzbSfJROWGeSfN1xbnnmEsmS6JLJKsuOvDwlAiXBFcCXXJbklzS3PJcr1PqXMlyz0jXcxLfr7/xs9O+pfk0e/z9B2ej67hEuMT7vjsfW73zzkcnof3yfb81vVbCXCWJLoGusgBXqd17SnSLcpWes1B3Wag7ja7W7Zfc9nuTTNf76ZgeS/Lra3/DBx6YkuiW6E6i13nknURPcZ6PLcs9n9wzybPleqbGU3p3Qt0S3fsp3lN4pzRPeT4S3bVSqHfy3ecstWRXpRTvxHl9bi+ifClxbmnezTlPcb6OPE9xnvI8E95zSfFTd8R4yvVOiqdoX0qlW5hbbvuxW7d7Hno3o9xyul5b180Z5zW1nkI7JbiOu2183sPctVRVvKccr++3VJla92Mn8/V1nXb2xd9XHZTlB9fH52p/lFTPqgl1yfSRUGd+Ov++4t9XMAADMAADMAADMAADMAAD2wh0IOCDAAZgAAZgAAZgAAZgAAbWF+ZzCfJOinclUZ4laa6644FvXGt5Lmn+ppsfXl1881emlugW4CrJb0lxJcElkXWexLlmlntOuUS0UuqS3hLib7rzW7si3e3SJeElonVMz1nE61rPPeMdqx996RtWEvcS6Hq9U+Q655xr7pvez6lzy3K9tx77HlR6veV5Jsw9E91JdpVnrLskzSXv9f567HS7kuhTm/f3H0yiS6JfctlbJ5EqoZsSPRPptZX7KIVugZ4p9HXmlKcQlyCvcrw7LiGd+0uV6e8jrdqWvZPiVZx3NRLmebyeUyV5FeZLifOuZXtt2+59P5etymsqOpPlJ51+0VQS50qKa5vpdD+2wPZrO3mej3PfwtzyPo9VeV2T4im+q5zPtHleI6W2n6/7UzL+7Auna73iwsufcFmq+/lMy/savk7eq1qw531Y0mfiPl8/qrp2bl+vdbdIt0S3aK/l56pMz4S6pfpIppNM599J/DsJBmAABmAABmAABmAABmBgmwQ6EPBBAAMwAAMwAAMwAAMwcCIyUNutryvIU4ZLgns7Vx+879H7a1mcK1UtMSwxLkmukkjXVm3MfVxC2QlwzQiXLLeolqDWY6XN9ZwktmS40uvann/t/ZMwl6BOYa70uuegS1y7jbtbuKv0mrOuumt19r7bVvd/5du7qXO9n5Louh+nyfW+nnHux5bjnp2eAj3bu/s8pc9Vfo2219379SmdfuWtD6/eftPvTK3cNQ9dc60lVyV3Jba7JHpt5Z4yXed7m+LcKXQn0evscs0dV1mmV1FuSS7JX48tifIqsdeR3XPXmrvG3LXnWrV3ktz7tTV7lzqXINd5nTifk+eqKs4tzT3rPNPnKXVr6/ZMotfU+KgdewpwJ8G72eg1MZ6zzFWS1RLM2X69E+jaVoEu0V+FdpXbWd1zmWp3TQL9gquGX4v/cEDvr0rhbmme7ej9NWTyPV+T9+D7s9TP435ft67399KvH4n0FOpzc9Ul1FOmj+amb/r3FcUawAAMwAAMwAAMwAAMwAAMbB1ja7DxG6BYAxiAARiAARiAARiAARg4esI8k+Wj1uopyNcV4qOSKL/7y99+sB53u/a33fLwlCxXu/RaSl57VrgS5JLNktj773hoku5TC/f9n59S6pLh5113cF/C3LPOJcolzF900U1Tm3a9RqV0u9PikuwW6BbnktdKrKvluwS6rnfg04+sfu+P/3yS6LoPlaW+XmOB7nIKXcf9nNPqKdIt2nWu7kFt2/WHALqHaU77Pb8/3YtEur52SfTrD3x8N4Uu6apkdUr0bja6RbrS5plA97ZK9C6FbnGubSbRayJ9LhGu+5aYvvCcs6bHc1ufZ5ldj3XPHY2ak+RzLdnzmEV5ps0tzpfatS+1bO8S57Vte8pjC/OU4xLBltynlvT5aP55le11LnoVzhbBKYolki2bO4HuPwbIWeQ639eriXHL59qivaa76+MU1bq2/zAgk+A18e6vWe9/7pt+44kzL373bkrdcn8S7Tti3UJds9Uzne6ku66h81Og+z1TqHdJ+PwDCM+arwLdbfjdbWC3yjx1ifRX/NqVN3TJdNLp/BuMf4PBAAzAAAzAAAzAAAzAAAxsI9CBgA8CGIABGIABGIABGICB44mB2oo9pfmcKLfolvw+8JnH/yi3WflcV37O19LWzyndrVS1tpLlKolzPVZLdpVS5UqgK0Euaa5W6pLaKd2VBvfzKr1GW7Vel2CXfHd7d23VJl5t3JVwl6SWQNe+xbfapUtgKwmv+ee/eOmHJwF/3v57J3kuiS5pLqEtAa5jEuBKrlucW5TrmAR5tnO3QHfKXM95Jrvat2ur99f1Je0lzyXVtR4S6pe/754pha5Z6JKNluiSzqMkep2JnqLd7dszie59PZcSvUuhZ1v3nE3epc5rYtyPR/I8a+m5ucc1UZ6iPI+tM9u8inNL8kyfj8R5FeadOE+Bni3bs127SlLW4rzK8xTomT7XfkrXKsRHVWeQ5/FunnrKae//8M/+6u4c9Gwr78oEerZxr63c9fpOoqccz3bs+ZzT21379LlZ77l+taW8xLX39bxbw6f81mv0Nel75q+vyn1Lc79/ivZsKW+ZXgW66hfOv3r1ovPetfq5XznYkl8CXcLcbeA7kZ6J9CrTz33L/jPnZPqmf79RrAEMwAAMwAAMwAAMwAAMwMDWhtYA+IAPBmAABmAABmAABmAABp6BDNSkeSbMqyjvpPhhIvx3v/unKcV35fnO8Xy+CvdOsitJbYFuiX7p+z8zyXFJa6XF/9F1X5wS5RLaEuWaRy6ZbBmtrUW3JLuk+ZREf9+XJqGu4xLPer3O1TV0juS7RLrltUS2xbaO6XldQ++v9u66Fwl0lVLnTqHrXnRt7UukS5y7/bsEucW4hbnT7RbskuH+OlKeuyT89XptdV9q467S2kmgX/rO6ydRLJkq4SpRu65ET3GeIt2p85TotY27qrZxV9150d/fTaFbpKdMn2uzPldzwnwkzi3GR/sW2zVtPjfPvBPnXfrcCfOROF+S513qPMW55Gsmz1M4d63LM4Hu2ea1JfqSPE8xnkn2TrC7nDJPge79TJ87pa3Kr6drRZ/y2jJ5NBu9JsdzDrrfN6/pr6P7euo88rouLklpJ/K1r/Ms/CXas5W955p7jrr/uECp9ilRHon4TNf7vSzNcz/FueW5Bbq6cVii+3kn1N0OfpRKt0zvWr0zM33zv+8p1gAGYAAGYAAGYAAGYAAGthHoQMAHAQzAAAzAAAzAAAzAAAyMpXknzlOapzC3+O5qEt2ffmSSyxK9qtG5KdGn0vWLUK/yXNJc7dvVTl2CWm3XJdGVulYS3dJbW8lulSS5JLjnhSs1blmu10qeS7Jbnqt0jq6hsmjXfqa/Lc8lqi3rJdot8k997XWTPFdLeL2P0ud6vYS3ruc27m7HnjPULcgt0yX8M4nue9B2aht/z+8fJtJVWhd/H1RaQyXR1Q5dovG05//kEynRJbKrRK+z0S3ORyl0S3QJ85pCt0CvZZGeAj3LAl0t56tQH7VS77ZOjHfPV9Gd8rubad4dG7Vvr+K8S6GPZpsvyfMqzl2W5SnNnT536/PTX/TCqVISZ8JZUlWiVMI025OrdMxidZQsryn1dWafp8jOSnmd8rzOQc8Uep1tXtud13br3R8ReH54t61fs5Pk9Zi2Pr/KdCfQ/RrL60l+N7Lb5zuB73S6ZPqUXL/gqt1z/ccC9Q8EdI6Eu76/rirO/f21RE95nuXXu/17TaVXoZ7JdFLp/LuMf5fBAAzAAAzAAAzAAAzAwNYJtgYbvwGKNYABGIABGIABGIABGICBJy/OMwFu0a0UtMrzvH1MglbC1tVJ9Lu+8Fgv1Bt5/v5PfGkSvkpPS0A7eS6BrvbqFtqWytqXxJaclgDXOZLfSnyrLJsl1d9088OTcNe11WJdc9B1TK/16yWudb72p3ni0cpdx/WeEttKq7sdvES80ucS53/zV/ZPEl0yXcJesvzC2745zU3XfWlddCxT57quruk56zouwa5z9P4W+F5bfy9S5kuk63201bW0TtrX+Vp/na+1VRL97Je9ZKqU6Lfve+0TI4leq0r0mj7PFLpS5ynScwa65LkT6CnSu1nokuiS197msdpqfdRyfSTXR2J9TqQvifPcr23au7nmFuVzbdpHs87dut3t2b2fbcAlUS3O9b23WE3hXMVwJ5w7GdzJ8kxoV4luWetkeJXYbkGureeapzy3LE9xnm3pO4nua9eW8f6jgTzPX19tbZ8CPb++mrDPFHo9N2fF57p0gj1b51t+Z8pdayKB7jXQ67VumpWuUpLdLevdyt3r7vfX90Jp/yyJc6fj/UcTFuZKrWelRM9U+tLMdEQ6/1bj32owAAMwAAMwAAMwAAMwcCIxsPEboFgDGIABGIABGIABGIABGFhPms+Jc0ntFLVVnrt0TNJcElniemppfs8fTFLYr5G8ra+zUFdq3a3GLctdFvKedS4ZLmEtiaz53pPc3jk2CeSPfW1XHE+y/M6Dc8YtwS3Sp3T5gQenluuehS45LiEuaa5rZLpbj/U+/vo8q3wS9QcenK6h2elKx2v+ucS59lUS9BLhqkluf+xr0/2rjbskud7T96f30vtYnPt1dR66vy8S7W73rvIsdH0N2te1Je21fm/90AO7M9Il0TUPXRJVLcy1TYmu9PicSM80uiS6W7nPtXHPOehdAt1leb67PffFbTt3ifMU6l0yvCbPqwyv4r2+rsr0ev1OmHfbFOfrJs6XxLnKifOcay5Zngl0PfY5NWVd5bnT0Barbt+eye2UvKN0uV/vc+vzlraWvZmUToEu+etZ4JlAryK9m3/eifRufrklt2V6zjz3mnQz0XMN5pL2PlbFeD7vRHeuba67SqJa53uOe4p1i3SvRbZ3l0TXH8xo6/noel7n+73cSaCKdHcZ0Gt0fy8454pJ4nc1kukqvTYT6oh0/o3Gv9FgAAZgAAZgAAZgAAZgYOsEXION3wDFGsAADMAADMAADMAADMDA/xTmKgnzJWlexXmV5ym/lZ62PFdJdlsuO1UtEezXSZa7dF1Lc71uSoNHcn167t6vT6/3MUlkbXXMclvvobS2HksST8nzO781SWPL75wJ7n2dL/muRLvl+T+88aD8V1rcot3vo+s6lT4l2nee133rtZLwSp9bmEueq5RGP+ea+6bn9TqtmV+v99IfBEiA61q6Z319vld/bW7H7pbubt3u74/T925f73XRY6fnta811R8UaFa7ztfaX/PxB1avufy6XYEpie5U9zoSXZUJdD3Oeei1hbslutPomUQftnAPeW5hXsX5SKSP5HjXhr0T7UsJ87l27ZblXdq8ps73kjZ34lzlOecW5xbmKZUlz3We0+ddi/Iqiy1uUwJbjFrw1hnpORc709R13nk3N9xS1/dime4Eumd+O4XetXHv0ucpzy3d/R71nvJYTZvrdRbs2cbd+3UevNapk+T1Dw8spfOPCbzN67iFvr8v08/rBVdNjy2vJdUt4J1Idyrd7d2VXNfPu871vWuN/fVYyKfIdwt3yXS3eK/S3Kn4nKVuJvR41OY9E+malc6cdP7dxr/bYAAGYAAGYAAGYAAGYGDrOF+Djd8AxRrAAAzAAAzAlUzZsAAAIABJREFUAAzAAAyciAzMCfN1pHm2aHfSWYJXJfmrxLSf12MnnyXIp1bhNz88PdZ5Ls8en6TtTpJcdf6ND0xbHdf1JchzXreOSwR7treT2BLCFsMWxhLd2QLdEl2v0zFL80ymq1W7tmqn7vS4JLpe5xnkTrf7vXS9FPGS8HqdRLkkueapS5z7mI/runofr6tT40q8O2Xue01JrvewWJ9mmO98fZ6J7tb5vm6m7PVa/VGBE/dKvqv8Bwv62vXa2z/90OrXr71lV6Irjd4l0atIVwI9j3m/ps9Tomcb90yjp0TPFHq2cl8S6esk0mvL9vp8psyXWrZbjHf72kqKe+vEeSfO99qq3e3aJcW1rzn2Tp17xrmOWZ67LJJTnqdQtiw9NYRnbSPetSmvpddVoTw3+9wC3YJbDDp17vbtmTD3PXcS3Y+79Lmv79f7a+lazacct5C2KM+1yhR6puolm93C3evm5/J5n6NjVVrnjHFLdD92El1bS28J7Eyj+zp6Lwl0MVBFuhLp/gMFy3R/D/39t9DPVLrvQ+93+q+99xChruP+Ov11+Z51vgT6L5//699TnXnhFV+vIr2bk+7faZv+/UqxBjAAAzAAAzAAAzAAAzAAA1tPcg2ACIhgAAZgAAZgAAZgAAZg4BhqzZ7S/IP3PXr/XNLc7cEtzi23Jcy1lYC2YJ7amt/z+7uvlzD/vT/+892S+P3F9z64+vELblk994x3TDJZJQFuIW8R7/dRZatyCWSVxbLbkksQW6hLREuaO3WuFLnOcYJcSW4/VnmWue5D8tzX0L06ya1jFuaW0HrsGeM6rtbtkuQS5y/f91vTVgl0CXRdS+L83A8enKmue5K49jpqq/epbdr9Xn5fr43npKu0r7XN79duQj8EutvX677PuumR1es/+siURFfyXfen+9JjS3TJNSfRq0Tv0uhu416T6JboKc+937Vv7+T5rkQ/98W7El1SvG6rSJ9Ll1cBPkqgjxLmddvJc6fPLc6PRJqPUucW59pKkqc891xzy2OLc7dy1zEJUs/CzvR5ndudEjyT1HPzzutMb5cldTdH3fu6B92fpbnFuWefW6C7jXsn0X2s26/J9Zxfnu3cU2DX0utSTHst/PoU5RbPvm5Nmbs1uo7n2uU9WDxXca6tv0e5L3ltgW6JrfP1Wkv0XEfPU3/lZdcelN876657yfbtvsfa2t3vaXHv9/c9+mv1/ev4L5x/9VQp0atIH6XSEen8m4p/V8MADMAADMAADMAADMDA1nGwBhu/AYo1gAEYgAEYgAEYgAEYOBEYSGlucd5JcyfNp9pJmmfaO9u0W+Y6AW7Z61bjEtCS0RLOSmBXca59tUY/66q7JnEuoSypK4kt2atrWJZn0t2PM4Ht8yV6nbhWklvJastxyXBJaslhvU7n+rGT4no/J7L1nO5d5fN0LW3dgl6Pdb96jWS5pbbPlZiWHHfqXPLc4nx3Dvp7H5zeT69R23S9TudnQt8pdLd31xpYfuuYv2Yn1v31uG27W9or2e9jvlfdv8sz3N02338soLbzSuIrla6Z6EqkSqBJqjmJLqF8yyVn7wr0uZbunofeCfQufS5xnvuZPF9q6T5q5V7T5zWJPtqO2rvXlu2jmeejtu1PVp5bnLucOrdYlkDXHzxYoKucPrdcr+3bLahz5nkmplNyV3luoWopnOK8S6lX6V7leUrtlPpd+rxLobsyaZ4zz+vzPidFeP4xQArzPK/+UUAK9DoDXWvhx963hM7X5nt7Tat4djLdEl3nSkb7e5Ez0i3QLbEtrbVNAZ4y3dfTeRbptUV/Jsp9/3ofyXNLdG2dOLdIf9F579qdm+73UGLdIj0lukqt3VOmZyJdEh2Rvvl/c1CsAQzAAAzAAAzAAAzAAAxsP6k1YAH5IYIBGIABGIABGIABGICBp0iYd9J8rj27hXm2Z8+yuM0EukW6n0t5LuEq6V7T5jr3rR96YEqaS5xLGk8zyT/2tV1B7uS6r20p7GN6H8teJ60t0y3gLfAlp506n+T3zus8D93HVHqdrqdjEvC6L20lwSWTdT3dp+eF6zm3hNdz/qMC35P+cEDnKH3uuedTAn3/56fW9Eqbux283tMy3wl3r5fuVcf8Hl5vf92Zfk8RvptSj3ns/kMIz0P3ORbyOu6Z7/7DAX2P9LUoGa8U+rs/dO/UPttzli+57K1TuXW60uhLEt1pdM9BT5EuUZ6t212S5Yel0JU8b8qivCbRJbL9nPdzayHux3Pz0Odmn3et249UmtfjI3GeqXOnzFOeqyyInTq3THc79xTIni1uoZ6y3JLWUtaPLVK7uecp3jOVXWV6ivNJ+O5IfItzS2sLdH+dWdmuvRPpKeTz8ehYl0R3a/YU6DknPf94IGeW+7HFd03lV4FeX5Nr7NekONe2JtNTmFuaS2CrUqJrP99fla3ddX2JcP0RjSq/P/4eaT08C13vbRGegl7z0rXv+/F9SqJLqPs1Fu9Vokugd63duxnpTqXz7y3+vQUDMAADMAADMAADMAADMLD1DFmDjd8AxRrAAAzAAAzAAAzAAAwcbzPN56S5xflImteUueeWu7KtuMvS2C3PJVl1HZ1vaa7rSJq/6upPThJZ4tipbclwv5ckrq/pluR6rOu5Zbqfkyh2ItwiXKLYSXS3YpdMljy2TPeMb4lwS3Y9Vvtyy2fLbIttSXCdr69Pr9F9WKDr2CTWdwS87lnXsbhWmnyad/6u394trYFeqz8ykEDPeeyZ3HfrerVVd2t1tVXP70Gm9SeZ/onHd+/P6Xwn0v1HCDk/3n9w4Fb7OuY11T3qOp6tftcXHpv2lULXbGRJdEkwJdHV2v3y992zuv7AxyeBnnPR5yR6ynPvey56TZ1rm48PmYNeBHrXur0rp88zhd6Jcs87XxLqXRt3V23bPpLnc+nzUct2p86zRbuluIW6j9d55zkHXJLdElRSV99jt3PPNHO2cndZtNdZ4XMz0n3caWZXlffZTt5iPNPnTtCnPK/zzjuB7uoS636/vN/8Q4KU/ynZfcznZUo7pbiT5J0crzPQ/dypO4Lb5/lxJtF1zMK8CnS/Z233bqGe4j3nk+vrcyJdW30dktuS3Pl9NC+W6Dov389yXgI9W71ny/ds414FuqR5ptAt0RHpm/93CMUawAAMwAAMwAAMwAAMwMD2UVsDFpMfKBiAARiAARiAARiAARg4CuK8a89ek+adOM80uUV4tmeXoJUIl8jNFLpbq7sduKS52oNLwuocJ6f1vOZ/SyArbS5xnnPN833zPfWc38fC11I6j1tSS/K6fbvK8889e13nKU0tKaznLN71nPb1Wgt0i30LdEnkC9//4LS1WNd7u626U/B6va+h7STlb/3qlDbX137ONfetzrvu87sJdF1PMtz3ZYmucnt5vYfWwgJdpTS71sBrrHJLe32dXi+nzP19cuo+hbjK0t8SXc95prvuw7PszYpeoxbvSqFLuE3z0HdE2t973XWrS6+9a3XpO69fvWf//iduP3DjJNKXEundPHQLdYv0oTTf2TqNLnHuBPqohXvK8pyJPjcfvWvXbqm+rjSfS53vRZpbnGtb5bkEuCWzxLkfq9W+xKZFs2eJ5/kWydm6XduU5BKcKktTtwOv7bwzSa7z5wR6Fc+W1L4HC3Cdq60E7ih9ni3cM4Ges81Tmo/au/tYnWXuPxro7ru2bq9JfB+XPK7yPBPqluV5HR/LWeM15V/lub9f+Vzd13kp0b21bNdj/Wzr/Sy9U6TrnJxxLoGu70t2CPA8d18jt1WgqzNJCnSL8//jkusPS6FbpK+TSM8Z6STS+XcX//aGARiAARiAARiAARiAga1jfA02fgMUawADMAADMAADMAADMHA8iPORNP/gfY/e36XNLVglRrVvce7jlthOnnvWuUWqxK9aekuu+txs0a752ZLFkr0qz+G2oLYo93vljHOXZX3ORK8pb20t051Od5LaQtkyeDelviPNLcMtwD1/3fcoMa/UuSS6kuKS4Rb1buHudLtK+ynh9TrNDD//2vsnga518Bx0CXRdJ9vIW6D7vnQNt3HX16V70bqrPB89OwJ4HfJ76vS510qPdU2VE+i1Fb/X32vsWeqS5ip9TdpOKfR33borRS3R1YL51Ndet/qVK26ZZPqUSN8R6ZLidUZ6ynPPRrc4T5mubZXobfr89dtrJc+rOM/0+ah9+1J1rdotz6tEXydtbnme+2rHboHu9Lm2To5bBEtwWqhLaqoyZS457WR5SmQdc4rYz09p43Mvm0pC1fLY8jxnn2cy2/uW5yl8U56npHby3cltC+2aRPf9da3bU6DXueZVoqcw9/t3M9D9xwFu095V/nGAxXfu18fZwj0leW37nnK+psP1uCbUfY6T537sbR7zNaaf2zjPj51M9zx1HbP4tkj3OukcdaZQa3cx5MS+z81Uvq7h9fLX4j8s0Ht4Dnqmz/XY96I67eyLv+/Kx06nV5Ge7d0t0Wntvvl/z1CsAQzAAAzAAAzAAAzAAAxsH7YGLAo/GDAAAzAAAzAAAzAAAzBwFMT50kxzi3GnjlVOG0uwSp5alluGOwWuZLmkbSaR85xs477vow+uXnTRTZMwVptySWGn1XWepbbFt6Wut05BS9zWWei6V6W63Y68th73+1iQ+znLbIlqtUvPVuw67vngvqYkuOS2W5l7/rkeax10vtu2e/65Husaeq1Fut5Holwt3CXN/ccEk0jXDPSdmer6mrTVe+oeVdl63Yl+J8r1dUroa99rr30nzy3Rfcyz0C3MVb6+9vX9tXBX6Tn/YYTeS/enc/wHEBLob/jAA9MfSVzz8QdW++94aGrhLhGmlKhK8utV7/ynq1+89MNTUv2mO+47mEjf99onJMEt0t2uPdPnPp5bt3LX1mn0lOk597xus7qZ513b9joPfTT3fG7e+dKM8yrOuznndeuSRLdA134KX4tjyXNLb82nd/rcqWCV08LZsjyPO4mu4z6W7brdgcDtyy0/q0Dv5p5XKe228ZbF2VZ9Srrv3IfFeU2fZ9v22r69k+U1kZ4t2+uc9S5dbvnbzXB34joleG49A7wmzvMcC3W/n4V4ivgqxi3PnSTXveXc8zwvj/vaToV7Frmf136XVPfXaZGu0mP/QY1nrKv8xwlmSq/ReR4FkWvh98j27Z6hXr+elP26ngR6JtIl0VOk1znpiHT+Dca/w2EABmAABmAABmAABmBg6xhcg43fAMUawAAMwAAMwAAMwAAMPBOleRXnczPNc665RakEqQWu267XueaStxK1FuZu951Jcx1Te3NJYUlz1UUHHj4kvWwRXtu/W/R6nrkle6aeJXMtey2rfb7nfLvlutu767EktmWyryEZrhbonvMtEa5zUzL7tZ6Zrjbqv/jeB6etzpMUdzo8788JeLdy1/3oNSrJ8lf95mcOSZ8rna/1lyzXayzzdX/a+vtkmV3/UEH3IJGdbfT9NfmeLND9Rw+W5Z4174S7xboZUWcByXx/r7TWOu7W95qD/rZbHp5a8+trUML+/CsPTPJK8utF571rElqS6pLnmo2u1u5vuOG3J5F+yyVnTynxFOmZQrckz+S527jXmehdK/dOnI8k+pwcX0qaj1q2W5TXGecpyfeaQE9xnnPPte1mmDtBbllp+a3nU7g7mZ5pcz12glivsQS3EM1W7G7dnqnsnA/eCfRsfW45bXGeSXPtS8hamqc89+MufZ7SPEV6lzTP980UfD6fzzkVb/Hvry9Ft782z//2sSrRLaurLPc5dWZ4SvZ8babIq0R3Yjz3/TjP9TWcAFe5lbrvwec6va40eBX6tb277ztnmSc7E1c7jOq1lS3xpteZvRwhkPfjlLzKAj0l+kikW6LX1u6k0jf/7x6KNYABGIABGIABGIABGNg6wddg4zdAsQYwAAMwAAMwAAMwAAPHEgP+n/cW5t1sc0nzOXGuFLmEp7aeMW4BK1H6ppsPprAto1N2W7h6prnTzynN9byEsASLpbkEumeG51xzC3JL5kyZ+7zc173oPiyo3VreaWydq8dutS5hnC3Y3fLd56ZAlyx2u3Tt+3V6zn9IoNdKfmvrWeQSymrf7vbnlvASzzrH1/d965jfR7LcqXP9oYHWzfuaB6/30rlOrVu8O3Xv1vC6rv+4Qc9JXPsPG9wG32tUpb7u2S3atZ/36nbvWRbyeR2/r6S9Wreru4BK6Xq1apcYl3Q99RVvWf3yZR+cUuiSWUqX6rFkm47pXAl1pdElriW9JcWrRHfq3M95a5FuiW6RPsnzItKXkudd7aV1u+W527NbmC+lz5dmnmfiXLJb+xbntXV7tm3XjHPLcO0rde6yKJes9PmeL67HFuY6N+W555B71rkl5qh1e23bnu3cUzpXeW5J7XvLVvSefV4lehXnWqNMm9fkeYrxfF89p/upLdvreZmc7+a3Z1I8H9cZ6DVlXmec1wR6SvaU53letnPP5Hkmui3Ga5JcVa+jyhbu2tcxv87XlNi2jM+vwSl7f38k07W+Ysrzzd3qXcfMXJXnFujmLdmzOE9hXisFepXpo9buKdMR6pv/NxHFGsAADMAADMAADMAADGydoGuw8RugWAMYgAEYgAEYgAEYgIFjSZqrUpiPZptXcW5hnmX5LckqIXrxzV+ZxKuksEW2U8p6Tq3KnVDOmeZOPL/+xs+uXnPNXYdJcwlfJ81dEuEWvhboKW0tZn2u0+MW4z5H92cRL8Hs9LlnjTuB7j8AyNe7Lbu/TktxC2lJcK2FvgYd82s9i1xiW8/rjwk8O92y3Yl1J8fdzl0CXIJdr5Vcdrt2zz9X+ZiS+hbo2rryjxss0PX+njUvma/26fo+6bj/0MHrZPHttuveTtfbaVfvcyzN9Xx2KvD11Jpe3ye32Nfs80vf/5lJpL/9pt9ZXf6+eybWlDSXID/n8g9MpX2l0iXJtFVr/4vfc+uUSldCXcckayWbp3brRaQ7mZ7J81qW6NnS/bB56Dt1w2tOP0ymjxLpRzrvfF15vtS6vZPoXet2tWiXKE9Znvv6IwWV5GTODdf2tOf/5BOqTHRboFu4Z0K4yktvs3X5aB54SuZs3V7luaq2oVflvTutrPPUjr5r354zzGv63O+RKfSaQM/z8thodnudbV7leYpwHXPrdm99DV83JXZNr6dEr8cytZ6t2y3Na3t0bT1PXEK7tnH3a7N1vDtM+B5Sxqegl/TWsWxL79n0kukW6v7jDL1Gnw26D6XU/bmh7STRz71sOp4t4S3XJ1Eec9LXEehVpM/JdNLp/Btx0/9GpFgDGIABGIABGIABGNg+Iddg4zdAsQYwAAMwAAMwAAMwAAObYmApab5O2tzC08LcM8wtwHVMAlVyXKJbotzzuiVQJ0F788OTWK3iXPsSpZpp7rS5UseSvJLFkst6nSSurmVh7vbqluJdq3Y/dsraLcQzFe10uFuj+5oW5flY17Awl1z3a1S6tqW4r+d25Lp/C2ydK1Gs45p1rq8rJbskuY9ZQOs6PmY5r/O0dWt7Jc0tzs+66q6D7dz3f376nljeT/ey0zJf3yN/Lf66vMaehe4W73ouv+c+pq/R4jwT+Jkq9x8W6LjP9bUt0f0adwJQ+3aJc+1Lpuu9tX3V1Z+cZp6/7A3vW5362uumcjJdJRGm5Llmpkuk69i9n7p7krwSxRLSkty1tXsKdcv0TKdnK/fDEulrzETfi0jv2rXrsZLnflzbtvvxum3bLcolt3Nrca7UuZPnNWVuYX79gY+vLn3n9bvpXstLCecf+sEfmMr72uraltQ6X6+VQLe09n7OPc/0eSfOT23moGd6O4V5bZueIjxleAp0iVgL9JTnOb+8zjL39as8T0mdc9g7qZ5/MJD3bbGeIt0t3C2ua6vzLkXua6RsT/me1+mukW3aLbS17npcn7f8dvvzlOF6X33m53Us1pVGT6FeBbrKqXEfT0mfM+It07Pl++4fTJx3UKpLjmsrLjOR7v2U5zrv1e+48c+yJMq9nRPpI5luoZ4z00mm8+9G/tsBBmAABmAABmAABmAABrYQ6EDABwEMwAAMwAAMwAAMwMBTJ8+7tHlK8yVx7tbcOb/c7dolQj372yloJdAlayVGlWSWsJU4zdfrmlfe/PnVy9/2sdVpl35sEsFKRbvVu17v9Lf2JZH1nMpSW2LaqW6nor3veeYW6HpO75lJdL9Gx92m3YlvJ8UzcZ6p8CrT9TVLkOuY28HrNfranRrXeS6tm+5F15Rc11Zfq0S69nU/eux0uIW5hbf+UMGz0iXJp7nnOwJdpWS6Hmvr74e/Hv+Bg95f9+Lra98t6j3n3a359TU5hZ4z5DN9XmejV2Ge7d8zhe4/vtD9SJ6r9LVrBrrFvY4pEX/ptXdNEl1/JPCLl3546lagdu96Xgl1JUpf908+Ocn2L335odU3/9W/mur2AzfuSnQJbIl0zUl3utzS3FWPZQJd8lyvtVA/pL37mjPS/3/2zjZWs7M6zz8r5UekSFGVNBJSUPMjUhJVUSJGqpBIaDNAJ23lYCuWCTJgAzGWsXEwjBgjO2YgjG3ZjicZzDDYwR7bxTaYuAMZj00aVwNJJ0QImg81iihOP1B+tBJRm1aqmOp6zr4291mz33OOA+Y947N+LO3vZz/72et9z8f13Pf6cIHqOwHrCdFrLfRVavStap7XpRAd1TnwXICe0Jyl8BvInKpfwfmqAM5nvXTgu+pzAXq1z651wFnP2tbWC6+KbQG21umC9YTnaeGuWllb+YTnW6nPU3me4DwV6Anwl2qj57ElW/al+ua5vmTfLliv4DzhedqgA6GzL9Uq3XVrqFfFuJEK9VSkZw31CsMF7+6rbboNVDfcBzCnPUC89u+UciCE4CrOWedZDfoqXBe06wJA2wnQheiC9CU1+lZAvcL1K2+681TC9KyZnur0Bun9u3H/btw50DnQOdA50DnQOdA50DnQObC/FeidBP1F0DnQOdA50DnQOdA50DnQOfDdhecqzldZtK+yaReYuxQ2qygWoGvLzb6r7jw1ADrAFhjKvlSZq1QH1qIyR2nIEsCszbpLLdnThl2IzXHuq+W5tcQF5tYmz9rjwmzrdftMbvMMgmSgNEBb0KtyW7V5rmv3LsgnuC5Bv+dZf9wQwmvHznGgsVbtgHQgt9De5xGg08fXfvD0bG9/5ZGnhnJfC3ffBcp0Fej0R4W7anvV8D6nz8A70CKf98f53A/YzbYTEXzWAfuxbp8gOkvGleBdpe276nOWAHKWPA95c/8TZ75tG//wc0N5rvKdcwHlWLoz+QJgfviBM+Mc1oHrAHSAGUCMfbSHEh2YLkQHLlMbXYguSM9YZem+CMwDnF9QK914+4GVavTtwHmq0rMe+nb1z7eC56jOs+45cHuV2jxt2gHXwl4V5j/0A98/L9mXKvQK0GlXO/cE6CqCBeipLnc9oXmteV7V2qnoTlU6+wDi1hvnOQCnKsvpl0r6BOeuC+ArIK+qc9tPtbmW8mktv6Qw91mW6pXXZ1yC44LsatGeINyJCKtqqq+qkZ7wPEF7wu4la3ZroFdVuTXQ63VZH13IzrYK9YTqWT/d6/gOAKKzVGVOsE+o7ro5ZxmBnISRrglLddOrvTs5XdXphIC9qtIB6alOr3XTl0B6/57Uvyt3DnQOdA50DnQOdA50DnQOdA50Duz/Lo1BJ1MnU+dA50DnQOdA50DnQOdA58CeyIG0a98pOD/65Lk/B5xnbWoDwApMVbGc8HlA5xPPDdD7vvv//flDJzbUwoQ1xQWf2rQDeIHm2IunIj2BNqBbcKvKW4AvKOc49wU8A6C1S+c4/RZYZ+1ygfYMeB/98tye0Nya5NqwC5SHjfykNhdgc1/7yT6ht+cIllWf0y79sj9pzZ7HBPHarQvOrcmuuhtVOeBc+3bGFBU6S5TbQHTOIbSGF6Bzv6zpnjXbBfj1/TnmAOycWOH706ZdO3ZyAthu/XPvzXEnXqhOpw1qtZMfQHOs7bkXcJxn1PafJRMx6MMMzSfLZQBbqpCBooBz7NyB7VwDRAcEo6wWTCdIX4LoqTqvx9PGPUF5rYu+ZO++SqG+k3roKtGF6dXSPSH6TmzcGY8laK7iHCjIGKeCW1CeIUAXqC+FtcUF6KrPVZunujxBrwBdwFlV6ULpCqY9J5XiwnABqUtrt2+lPF+yfU/YWpXv7rPP1aa9RkL0JSi+BNNVUy8dW1KgC8v9zDhOaQ+vSnvJAp7rvNZ2E5YnNF9lw85S9XhVmtt+XsO51kWv53hc+3bU6EJ0beNZatPOUqW6IP1fXXf7mHxDcA7lIDLYT1kIQbzwvIYqdYNztX03VsH0pbrpFaQL0/1Zv+7fOTp6DDoHOgc6BzoHOgc6BzoHOgc6Bw5c1GOw9g509Bh0DnQOdA50DnQOdA50DnQOvFg54D/SX7DifILnabUt0BSQDoB8/OwMoFUWA0JVEANv2afaXKU51wNLsWenVjUW7dqSc8x66iqTBdOCcG3Xgc/Cc6GvKmqV4sJl+qsSnaCPti2c5xzrkQuArT/OfqA8/bQ/wnOt1O2HwNu+cZx+eW8V9JzHvVR9c3+2R/3yackxoT99GPB4gvw5AYDjvCPGnXFUYY7a/PLbHp8t26k3P45N1vDZvlbw9p+l0Hy2pj95bqjGGRvfpypzJlJce8+psZ4KdSG5in5yKiE67VkH3XXOFaAzwQJrdo7T33GPj50az0Ku0A+AOvsAu8BXwCtwi3WWKNABrIBP4DnXOKkDG3cAujXRUVsTqeQGSAPAE6bff/At30r1+SJAF5rX9QLR/z627ltZuG9n374EzwXn2LSn4ty65IwtdeS1aSeAq1qdV2vzVRA966CnKp02VKBzX96bCvSx/8qDm+C5Fu2pQK/K81R2C7VVDnt9gnAt21WJ17rnW9m253qtd17rm6+qbZ5wfQme75vgdFqoZ41zgXYC7wTYr2QSAAAgAElEQVTcSzbvqQ5PO/Z6j6pgt0Z6Kr9rDfSqQve49c7zuap9O1A8+8Z9eM8JzlnnPEB3XqsCHWDu8VSk5/XWRweU2w7bP/+2I+Nalp7LceE357MEoPP9AkQnyFuOCcoTrnMsgbkQXnhf1eoC9rSD3wqkpyq9IXr/btl/X3QOdA50DnQOdA50DnQOdA50DuxvgN5J0F8EnQOdA50DnQOdA50DnQOdA6uhubEEzn/z8S9+ihCaG8BKYClQlCXgVigK/NWWO2tWCyQTlnN82LMfPzsU0cJc1oG7AFtgtYpsld/vOHp6Vj8Ly4W6szp8Ukar2p5V08fPjrA+usr0CrC1bheKq4T2nj4n6wBn4K0gn3NVoacdu31JtTnt2BdroHuO90pVOqCe+2X/Wef+qs61i/c5nCSgsh7bdkC59c7ZVpGOcpvxNITmPLv12FPpzn21y2ebewK+teAnV5ywwP0F3wJ069ozzjgTcA6gnG0U5awnXNfiPdXlqM/JLWz9eRagOkpz807QKtgVngs/AbKALtTmWTrg688/Py8B6Fi5A9FZAtX/7HMP/x/2A84B09ZINwTj1j2v1u2rbNtncF72vxBwntbtuUzleYXpW8FzwLlKcyC545fw3PrmHEvoK1ROyLwE0gXnuVSVzjb3oz3a575sqzQXoAM4heWpNK/bCamF2TOMnxTlQnX6qQrd2tcJ0OuzVejuPaoCPaPWM0/QXlXnS/XNU3mecHsJmCdUr/XNDVXkeW3WHXcc670qlE8Inwpz26kwPYF51jrPpXXGl86xbeG3AHzJLt57AsIF8kL0vF5Vump21wX07mf7NdfeNaC6AF2Iblx+0z0zjGf5hvfdN/Z5LMNrKlgntHhPuJ4wXZv3rJPe1u79u3D/Ltw50DnQOdA50DnQOdA50DnQObC/FeidBP1F0DnQOdA50DnQOdA50DnQOXCh2jyhearNE5wLzROYqzhPeA6EpvY0wTrHAZ7A06w9rRpZaG5wHhbvgFvt2dkWtAqbBcTW9B6K7uneWX+b8wG8HFfVLDzWOl3QK9RWoQ2kFzKzLYT3PMJ656wzYWCGyFMdc8/zWsF+1jSvsF77ee9t/1SxZx13+yWst+a419s3wXqq51WQcx2THrA9Z4LCqD8PQL/r6QHTgefWh1ddbl8cZ++hyp1rVNrTNiEo553zjLxXnp118ofQ6l2gznHrt2vp7rnCc2C6jgfWVAd6C+xZYj1vDgLRh23yG28YAeBFPQ3UTHtwtgGyWLsDgrkG1ah5K0inTRTpQHMDkO4+wLf27oLtTTA8oHkF6ov10RegecJ0lwLzrUD6TpXoQnPXgeeAcyYNqOAHPCY4B/AJpwXQ1g+vQHkrgL5VHXRqrgvoWVpXvUZC8lr3POuEC7NTUZ71vbPPabOe5wv06XOF5vncFaALypeU6KmCX7JqT7Cdz7Nkt56QfElpvhX8TmV71iyv1u7bqdaX7lnV4FWFTiRkT+t1Q3itzXoF56xzPEF7AnfU56lG9xqCbfdp6y6IT4jueQJ41ezC8QTogHL3A8c9j/V/fcNvboLrCdwzBOksgeeo14XoS3A966VvVSO91ej9+3L/vtw50DnQOdA50DnQOdA50DnQObC/Ldw7CfqLoHOgc6BzoHOgc6BzoHNgL+XAdhbtRirOgeQoeIGVhBBTqKnyPME5oNxa6Kp3DbaBo7RBrWoCe3YCkKult8AaaGydb5XXWoSrbub+Kq5ZZykoZilkpW2hOhAXIKzNu+0Ks4X1gmFV62m9npb02qujCFfxLfS2XaG4Km4BupbqCdDzWq3dsw9OKKBNQLPP5SQBFfBpEy9A51xV6qi0UXoDzJm0wFLlPyCdd6p1u7FUUz1t8T1uDXIt7FWZ029t77mOSRPkDMec0KBFPUEfaQsArvW84bYqdGura7uO/Tv3Yv8A51ffPGBkBbJahmftbW3CuQ5ghu279zCv5+UzZ87f/8SZYfnOugE8T4heYXqq0+f1UJvnvlr3fAmoC863gucVnG9n457wHMU5kwOsZw68TnDOtvbjKrNV/KvWtgZ4Bctp7b5UAz1hOjXXU+Fufwa0v/LgJnhuCMVdF0qr+hZeC/61nPdYBehcmwCd2Ep5nvXP08I9lehp4b4EzAXZWa98SYleoXq1V/e8hNQVdGODvgTRK4jP+68C79X6fQmoJxyvtcxT7Z6277kUlvP+0+Y9leFGqtpre8Jxgbz27gJySolo2Z5tJlQHhidAZ19CbcC4kW0kVPe8VQA9VelawucxQ+v3CtKrtXtD9PX/jtbRY9A50DnQOdA50DnQOdA50Dmw/yIdg7V3oKPHoHOgc6BzoHOgc6BzoHOgc+C7YdEuOF+yZ0/F+bs+cuZ54DnwctiVHz87w1GUxoS1qQGVAOoKFoGXA7w//Nz5Q8eeOv+233hkQHNU5iwFwGmFrkpbEC0wZp1zVTyrTGc/4FxVuuBX8A1cBfRzLjBYyGs9ce/BMuE2sDShvcCc8wC7aYtOAM+Hjf0EsjnGvYXYQuess+552Y4q74T5aRnvedrDW/Nc0K21u3Xc0y6e+xqcTzCmQGqt8kc99FseG0CdSQ2Ok5MAtJPXdj7t8bP/jAV5Qai4T9cBQhW9+eI4cB+e4bUfPD2WPDt5RD4SAnQndJiHuhyoZnef9uwsE8imJTjrbqNwFhYDwgHjBJCcUH3OukBdlwW2BelavVMDXet0QpCewBtQnstcr0rzCs9Tfb6dhbt12pcs3bVzT0t3wDlKfcaD5+KZhOYGAFvgLEC33jgAVaCcyusEylWBvqQ6T4jOubxPrk0FegXoCdKBuQnT05Y9wbjH7Vuue57tCr7Z5pjq84ToS3XQl1ToCc0TpqfavKrAE6YvweslkL4Kni/VR0+wnSp111O1nmC9qtkTgFcL92rnXvdz3Sqo7jqwmmUq0Kv6XJDN8XpOblv33OsI97lu2GaF4C5TXa6tOkvt2gXognNDgM5+Femcnwp2zmGZAD0hesJ1lgJ0golE5OyrLn3HNxKkpxq9lej9+2b/zdE50DnQOdA50DnQOdA50DnQObC/AXonQX8RdA50DnQOdA50DnQOdA68lGC5wHy7uuYJy61tbn1zgHeqzgHB1qgG2gpAVZYDPgXT7zz27PnX3/zQ+V88uKEu15adAM6qMBfGe50gGTAO1EUlrnpbsO75BGAfi27OFaKznjXI0+5du/VRg/vkubkGuLXJhb/CdKEz9xVC88z2Q7W4/R4q8JPnNiD+sY1a3V5rrXXv4X2E0FnXXZW6YFoL+ITWQniekXsZ9lPFuu3k8wniGS/6hOqccQSaC9CJt959eraHz/5WBTrHhezj3ifPjXFmfGkXdwJdAcwjArjNJAzt3AHt1LN3PLJ2va4F5COKed69zgi0c+jEszNEt9a5QBv1JUASeF5Bea4nUBeeC9C1bheaqzZHFc9n5e6TT8/wnHM9b4boB9/yLdXoKtLTan0Jpq+ybF86f1UN9FUwvdq5r1KkozzHsl1oTjiZQNW5CnCBtMBXeK5KO5XWrm8HzreC6Tkpgn4IRhOgpzpa9XnWYzcE6mk3X+F3qtQ916XW7VV9vgTPE6Jr275KTb5dVCi+VP+8WrBXy/VaBz0BerZrCK+tT27kdkJw2kgAXiMBfIL8vEY4ntDc47lM1Tl5oNqcYB1wzH6WnpvgO0E666rMvS6t2ROWE9Yyz3UV5wLxVJbntkDcEJSrMgeCv/mWE/NxzheebwXQ3cdnVYt3grroOjYQgPR/+i/f/FlAumr0tnNf/+91HT0GnQOdA50DnQOdA50DnQOdA/svkjFYewc6egw6BzoHOgc6BzoHOgc6BzoHdqowz9hpXfOMVPYaqnoBo9pmUycaa+srD39yVpYTwHNqaguUAalAVqCuEF4QyzlsawuvUhpVtDWwZ4X48bMDoLoEshPatwORU2Wtcl7luup5oTvPw/EEzAJdIK4gWmU3+2udc9XiAHQV7NYkF9ALrQXfgm6uyXbSZh3ltUBd+3Qt50c/plru9Xnts/dREa9qnWfnXXAv3ivQnEBxzpgCzxkjlpybbeQzpSo9LeetSw8QZ5s+Od7a/JNL7APea+fOuQBp1t3nOsF7AZgDzwHmtO8ED2C6eWrpAALQC+QE8AI5Aa8v/+Ef3ARoMwDoAGOV1gJ0a5sD0Qkt23FVIP9VYtN/YLr3V70OeKbdS1/z6k0K71SlL8UqUL7Vvp3YuAvJ0869Wrazj4kEPCfPpgJf9Tl1zw1U4IBSoVytL57W5Cq6a83ztNFfBc3zvVWATh8ItoXg3Cfh+U5s24Xc7BeIJ/xP4G4fai33Jfv2CuIrRHc9QXeqyBOcO8a1nnhVoLuv1i2vCvOl2uhL8Dzhtuv0xW1hdYXlqyzcV9U+rzXbl1TnKta9JyHgZl1LdWG4gBwYnlCcc1mmtbpQnHNQjLNMaO55VTnuvlSQC8uF2oJzgHi1ZK8wPSF6np/AnP25vbTv+g8/NIN0ADqfF57LySaq0Rui9++Y/XdG50DnQOdA50DnQOdA50DnQOfA/gbonQT9RdA50DnQOdA50DnQOdA58FJRmtd65jWsbf7ue598304AelplAypRkwPHf+oNh8cSOM46tWBZB7QCNYGXQE2BNNCTfYBSIKp1ylVUC1aFx4DwYRN/8twItoWkA1ofPzssxQ0Au+DdtgD1AnXhPGBdtTWAXbt4QK5qclXa2qWzX3v1VIoLjUd7ExAXMqs8z/rpBJMNANPAbttMtbl9qnXYU5XP8wnQHVvb8T5Ce9XxPo/15AXgqtZHffKT5zbU50D0Wx4bYzos3A8/NZ5RIK56n2fQAUB7+FT4aznPu0Z5Pq6fFOlOpsCRQDt33iPrTs4YEzQ+dmrkjVbsPCvtsI88U4FObgjOVaOTr0BsrrPuOfCcpSrhBLaG0BbADTQmAMUVoCdER3HOBBKAFkvgMn2//u4nx1I1On0ROAPRsUNfVXe82qq/0NiJ4ryu55IAnt933aUbyvkJnhNsqzznWRJaA5GBcAA5YXWqvdOWfAme19hOgc574v7jnlMddOG5ynBhedq2p+o8leT2X2iesNvzshY6297vhcDzJQv3VXXMq9q81htPK/cE604ecL8W7zmRYMnqfVVN8gTzCfSrxTqgmv0qxbNf27UvEGe56tjSuUuRUD1t2gHrgHAgtUA8YTlAWZt1QbnnC8PzGq3YAdwssVpP6/aqNs/a5AOI33RkEyQHnAvJU12eNuxLSvNV0DyV61tBdCcIANBRpmPpnnburURf/+99HT0GnQOdA50DnQOdA50DnQOdA/t3+RisvQMdPQadA50DnQOdA50DnQOdA3s3B7ZTmycoB5K7nnXOl+A59tOEwBw4+e77nh1L7NcB5ajLAaqAT0CosBwArVob8MmSfQBsAal27NYGB6Cyzxrkqq4F4KqogbrAXMAp5wNL2cYenvZRLrNUoS6gF+6mwn3cewLpKKvZTz+5Tht2FeYC4wrNBdeeQ18F0oLxBPC2q+KefnCe46UinPZVzdu+SvdsR6W512VdeNXmAHSXqsYF6GkbL5B3YgNjLTR33NMJwPHwGbTIV+Eu3M/a6k5k0EWANnQOQFnPUoW5dus8M8vDD5wZ71uADoRWce/z8P60bjd3Ca4ln7kO+AsstEY2S8EtKvQEtuwHzFrr20gVugA9QTqQHHh+012PDjDFEoDvM3kufaE9wDNLQTqwutYcr+r0Jei9E8X6drbtSyCde2vZzrMB33gu+i80BxoLzQHJQFPgMxBOgJu1x2vdc99BtW/fifJcqO471V0gAbrwnH7lcqnmufC81jwXdKdVe73OSRk7Aeja2FcFelXor7JTT6juOWlRX5XpgnPOFaBbQ33fpBZfBbVXRUL0VJ5XJbn9z5rlVRVfa6KnVXtVl6c9ewXpebyqztnWkj2PCckF4kJv4XjWLBeSq14XlHtuXa8KdBXlrqs+rxBce3aWCdHTwl0Y7nbWP882PS/bymPauY/zbjoyIq3dAehX3nTnKazcgejUQ2+Ivv7fATt6DDoHOgc6BzoHOgc6BzoHOgf27+IxWHsHOnoMOgc6BzoHOgc6BzoHOgf2Xg7sBJwLz1WY1xCaH/zI6S+m0lwbbMCjil5s16+9Z0MBDJwVhFubHHAJLE9rbdXQHBsK55PnZnV3BbzWHp8B+slzswobOCvsFtzSDm1o3Q2ETQU6S6C4NcaBwoRK7mFpPqnXtXsXnKvM5lxreXOu4FxVNftVgguKVawT2rCzP2t3C7QTbguyDa3QK8h37GhbQC8AtwY6kdbzCdutzV5rrmuzblDnHKU44+KYar1OG4JyJwakZb1j5jP4zhh/2uJ9qWLnPQLVeVcE74W8A44LyDmHc8kvJ2nwPhKwW+Pcdeuip2vCe+799FyPHOgLtASusg4IXWUbTrzula+4AKAvwfMMgBRW7ld9+FNjwsm1dzw27k0f7Id27vYjQTr3TJC+Sple44UqzbdSnas8pz/0kz4D6Hg27epZF5wDT4HFgGHBrTXPtYRW9Z21zjNWqc63i5/98Q2ALtzWQl6wnwBd2/iqPFdVLuRPOC5A9zwhe25zn1Sr70SBXpXnq2qgL1m4J0iv1uovpGa6UD0V5AnZ3f5Hv3DtooI87wtQTji+L6zbBfVeW48tqctdVzGe0DzXKzCvy1SgV4DONlA84bnXuC/rmDMpRGt21ehp3Q40d1+uZz3zWt9coK0iPGG5EF01eu7L2ucVuAvQaTOhfJ5fbd753KTKXYhOANBbhb7+3/86egw6BzoHOgc6BzoHOgc6BzoH9l8kY7D2DnT0GHQOdA50DnQOdA50DnQO7K0cWAXOl+zZKyyv0HxYXU9q8wSOAEhV0cA+YbmgnPAcjrFt7XAiFeiqtxO2CnYB2NbnHurwk+dmpbiqZZXYaWGe9da5BoAOiB226ZOVt7XQvQdt2Z5tAHS5Tjt3IicAqCQXvNt/Vd48p3Bcu/RUrVuznH5aD12luv3wuTimTby269YnT5U513NcaJ6qdc5NWO8kgKyVzjtJtTrnMz70k/swZowJgaIfdb9jqbpc+D8s2MM1QDDvOHsP7doB8boU0OaYnDFZxaN2510J17Vvp53XfvD0aN++0r527mnp7iQOluTHqIU+OSlon04+A3618saS3XrVAE2hbQW5QGQB+v1H7/zWVvCcALJzD+47asgf/uT5gx89PavS0+Kdc+kHimnuwzr3AV7/3I/+wwGxV8H0VQr17WLVeRWi86z0UVW98BzbdqG/FumqqAXnNfZdduM4nspr1hM0A8LzHewUoNOW6m/GUSt51efWKrf+edY9rwpyjtu/Wqfc6wTy2rYLz/P8hOdLEH0r23ahdsLxrHGeCu0K2VOVvgS8q8V7tVOnXWA5fSB4b1V5zn6BelWWp+o8gXyC+YTjgvVa65x93rtar7udtc09P891G/htbXPt2YXnWdM8j6lC5x5ZtzyXFbCnal31ecLzVTXLl7YTtnsdS4C4IJx7ZL10oXuC8myvWrsvKdKzNjuf7wToBJPy+D2jVejr/32wo8egc6BzoHOgc6BzoHOgc6BzYP8uHoO1d6Cjx6BzoHOgc6BzoHOgc6BzYO/B8+3AearOKzRPYA6EFGgSqsaFkBxT2cs+rlGhDaQGdAouE54L061TLSAXKqvUBqoKoq1/rmJbK3RBs7DZcwGkrANcBehAXlXztM229u1axqN0VpE+APqdp2Zwq/Jd2G/ftX0XlAvI7bv264LthN/C8KwLriI8VeBse533FYI7piq6HYe8Pt+dEN57CfW1sM99Kry1g9dSnbHQvt068gJz2+Z5GE+dAoT0WvRr8U571X7f98E7QO0OQOd9OWb0S5t74D7t+2xcq9pcgF7D3NOWH2cFYLYwGBAM/ARoWw9dkF6V6ADaVKHXOui1HrrBubTJ5w0FPHXQgVXCPIAWIJo+WUecfhDeS0v3BOlLMF2QXtXo7NvO5n1Jec628BxwTv8Ixi6V5/ZXaM4+YaT1zwekfOMNA9QCzIXHad0uBBegVxX6VjBduC0sV9GvnfuSqjst04XrqSpfgudZ91yleyrcE5z7nDtVnNcAKgvR057d2uMqthOWp/J7yY69gvNcz2sToFeleNrB13suwfK6tF+0me26nZEwPdtfUpZXgL6kSld5npbuAvNa+zwBuvuE4dquJ0BPq3Yj1eXC71npPSnNa+R5Syr1VJhzPyG5fdAmXujOPs/JawXxCdezrvoSRL/6A5/4SlWhA9H5nWTdvxt19Bh0DnQOdA50DnQOdA50DnQOdA4c2HVjsPYOdPQYdA50DnQOdA50DnQOdA689HNgO9V5BedL9uwDnE/AnKjwUeANoGQ/4FFgrkW2UB1IDWAd8eiXN1m6J1gW2AIwtQ4XKKsyVxU9FOkTmKWNAYGxYJ/swFU5ew/rg9NP62uzjz6/4+jpAWaty03YB/qu0loLdyAwMNf+sl9w7b0I7qVqW5gt7M4649qmq8hWeU4fhOws6Z8gW+t22tYqneu0vVdh7tgJ6FNJrqW8ynMAd22TfUL3hP32x8kG2t+rRnccdQbwWVnXUt6JBb5PQb1jSjAGAnRgPSp34PmoZX/87Ghn1E8/8dycnyr+VZyTp1wP4OdeCc6zjEBa8NPeDUdPD1v1u08+PSCw1uOAVoEr20tW7oBajgnQE6JXcO4+jnMtsJl7CrKAWipngXrAqoTUnK+SWkt3AHqF6Du1eN8Koi/VVOd8n42+AVJRdGvbzjrjRb8EyKq+rTuu6lxgKcDWur1C8hcKzTOE5r4/LdzpH+sq3hOeL9m2Z93zVI8nOBe2s83zCek9r9Y4X6p5vhU4V51dQXdauCcMX7J2T8BdYXmF8gnQKwyvYNxIiJ727hV0b9UW1y4B9ITiSzXRE4zXc92u1u+e62eOJUCcZR6vanKhedq3e9y65QnLE0RXRbk26qq+Uy2ewFvleFqzC+erpXsuhedVhe4+4b9tvv6mj2wC5pxLP+btqQ6661tBdH4f8XeUdf+u1NFj0DnQOdA50DnQOdA50DnQOdA5cGDXjMHaO9DRY9A50DnQOdA50DnQOdA5sLfg+U7B+bs+cuZ5VLcA5aNPfGFAcG3PBd4JJFUiC7+BnMJQr7W+tKpvgva1dueYtcStay6AFqgLqgW8Kqq1+hZc57G0YNcOnnNVIauO5nyW1PBWgT5gL4rqqQ47faZfqp9tm3O1D1ehrmW8696D+/IMwmYgsWA+AbVq9QT/nCtgFjqr6mbdSQycN+rC0+dQkDt2hrBYqC8sT6W51wn5BdKcwzOzz76wRBEOnFZx7ngIwwHt7tNRgGvtp+8ogb210HUv8D1xHyC6Exp4F1zDO6VdoDj10AXkrquyJ3+th54QnTFOS31ylPzk/TOZBCU1inSgkdAUUAR0BdwKeV/+wz+4yd4dUAs8B3QDmYkKzl0nLn3NxnUANNTugK6ff9uRAeT2XXbjgKraZAOvBOncI9Xo1kVfguirgPot/+Rli/B8KzU656M8F5bzvPSPfvE9otW8wBqlecJz1fzWEWdsq017rXdegXpa6AvJqyNA7rf+uKpwJ0So4heiC8xVv6fy3Jrn7qu27RW6qz7nGP1fals1usC8KtBTbV7t1FWXC8cTnuf5td55Wrjnca3TrWue96jAm1zMffRVMK1t+5K6neu81uuzrQrp8/yqKk/l+xI8F477OWIiCiC7wvesZ5730AWiwnTWcVAgKjRXpe4ya4UnME9lt8AcaK2VO98Br7n2rgtU6wnBhfJawdf66VkjvW4LwtPG3fsKz197/W9vgvaC8rSOn5XzE0zfDqLzO0pD9PX/ztjRY9A50DnQOdA50DnQOdA50Dmwf5eMwdo70NFj0DnQOdA50DnQOdA50Dnw0s6BJXi+BM5VmwPOgdrYmANHrReukhwgC8RM8KpymetUdWtlzvUq1oWQAFD2cw/WhehaZtOW6mzbFnYnJOdcAbYqb++rGj3t27U5rzbr3N/rtRvnPoJ+92vVPmqQ3/X0+Ss+9OQM33kOgbihrb1tA46t7S0o1vqc51E1zjKfz8kDWterjp7V2RPArnXNVe273zF2n7bueY19E2oL1D3f/b4LJynwPukrz8cY8U5QhaseF+RzPYDd2vK2J0DXtj1t7J3MoIqf90Xb7BOgp8qdd8M9rHUOIAecC8+B4zyX46iaHXDOOU4M8fnrBBDLGADRUYaj+AZuAotYT6grtM0a1tYpF6ADmtPGPRXowlggJMDqbb/xyABWALKfufx953/skveOUHkMuAJUCdGtua2iGiC/pEYHfO/U2n2VEj2V54yNEB8YxzPSB0E1z6NluyFQVtEtXNbSvILzjKVjFZyzTHCufbv1x1WeW0tegM56Quy0ZE9Feh5LeG4IyFW8c7+0Zve4yvNUoGftd+G5MFt7dvdpz77vshs3AXShuOeuUqGvUn+nAl147v24V55rH1Ihnjbs1T4+FeVp284+o6rZs03XWVqrPM/hs5LKc5bsE4wLwtOm3fvmOVzDPqG5x61znpBcC/clqCwcF5ZnjXKXqSIXijN5hnAiDQFMTxt4w3PymCAcCJ7Kc/ogmOeY963KdrcF6QndVdXnc/J5Gs+3AqJff89nHrjk6vde1xB9/b8rdvQYdA50DnQOdA50DnQOdA50DuzfZWOw9g509Bh0DnQOdA50DnQOdA50DuyNmucJz2uNcxXnt37iDwacJKz3rSJcoKuSWcv1jLQt5/oZYJ88NwN4wCfKbe4FQH/nsWfnOuqcN+zdC+S2Jrr3GcrqR7884KZKaK3erdudQF1ALHAe/ZoAuSp5npljQFlgrAp29gnpE6y/9oOnR/1z4S37fTaArFbj9E9V9KjVPdnCq7zmHqq36R9jzn6f1edSCW3tcq6xfcG0immBeQJvYHFC6oTrCd4dW63yuU4luoQNUcAAACAASURBVGPoO8k+8W6tZT7e5dRvxoXntZY448Y4WNtcAG/fst59KtIZW8aQNugTecJYJUD3XWkbb+5xjXbulhewnroTF1BHL9VBtzQB55kvtPfu+56dITpwGBgMIAIaC0YT6P7Ej/7IJogOQAVyZw30oYSPpWBXNTZATohOUBP92jsem0HYK6+59/y+txyZwZxW8bQDoGQJDKYu+ipL9+0g+pJtu0vV9ON5/vivxmQC7otSn2dVXZ527MJbIlXVAuOMVepzx3UJrqcafWk/MBu1MNergGecBOcsgX7Wt6+qcgCy/bMPqsYToHO98DqV50vqcuG591uC5zlWCaOXwPiSTfuSXfvS8WrlnuduB9yX6pZXdXm9NvdxXVWEJwRnLG2TZT2e1wjR3a41zbOeufuXIDvbwnbV6WxzTdY3Fyar7haMqyxPqO55Qu20Xq8qcYB4QnL7IiRPgM8xgDgh4Gc9FeVL9u3Z97nu+W0PzVCefhK0JVxX7S5Mz4kCfC/iNMHniO8Egs+VID0hOjXRW4m+/t8dO3oMOgc6BzoHOgc6BzoHOgc6B/bvgjFYewc6egw6BzoHOgc6BzoHOgc6B1768JzQtr2qzgnV5sJGwSeAEsCpIle4CkwU0Ap6BdmC72yLY64DLrVu575sC+3Z5liCStpJe3hALUvtwa2bre0412r7LcRVaWwfB3A+fna0kZMDOFeALhTXkp12VT2jPAfcYiFuDW76LbzVtpxtxhBgDFhWIQ1Efv29G1Dd+t+scy+WRKrBXQquAdW0SZ8SPHsN26rw3Z/tqOhP9bl10hOYJ6BPZbwW8fTDd84699O1gKXvzRryeV5OcnAygfuzzz639eZ1AmCdcPx9n6lsF8SzZJKG9c5Z8u50O2Cb/Ca3BOkCdyE6wN7nsXY753MOEB0oBNQEEqm8BqAuqaQFrUBVzk2ILkAH5HKeABbIm8pUQBYwDjhNYO9+xft/Z1grA7DoBxBdS3dV1KqrgejA8p2q0VN9nttZ83zA88kmnzEBRGt9bm1x7c7Toj0V50DTtC5XrZ51xQXlqyzdd1IfnbBOvO9qlfqcJc9SAbpgWwv2BOipUhega9ueML5atud6gnnvlcrzhOC1XnnC76yJntdWSF4t1vO6bLO2q6I899GObVXonnB/3wqbddsRXgvTmajCNakQtw2XwOJUqVf1edq3V3t2wXgF5FkD3WtTcW59cKGxSu2E5AmZqyJcdXnWKhdYc4zPel7PUuDueSrR87q0e/c413CtgF54T2SfE+ILyr3O9lKpnrXSVbUDz7kn4yY8N1KNDkTndxN+R2mIvv7fHzt6DDoHOgc6BzoHOgc6BzoHOgf274IxWHsHOnoMOgc6BzoHOgc6BzoHOgf2Tt1z1OfAc8E5qnPAr4BYla2gVhBuzXMAIvu1bRc+pxIcIOr+rIcugBaQa+0OONfGnaVwHSU3IUDnmFBWpTlLQTXnaZ0u+FZBLjy2XrswXdW7SuQBi088N1u1C0y1WGcbcP7qmx4cABs4DrwF5KZKXQX+sBOfFOfCYoJtrhWqC5V9HuuFC5mzhrmAXEgsdFZJzbsA+CZITwW577aCc9bzXBX/aTfvMvvg+DEhgOfQjp/9KsLtX9Y8dxxUravCzz6yPp5xqm0+APmxjYkDjjvvQft24Xm6DJiP9IkJGsJxxloontbuAHQAtnbuWrr7XPTJUgAc+/rzz4/zUaEDhQDBQFgBEQA1VdAJ0AWmQFXOB3QTXLdUS1s7dGC51s+qzQV3wHPUnqpAOdd2gcG0s6RE34kafRU8BzADzxkPxgJbe/oF9FdZroI64XLanwtUBdKerwX9kgJ9qS76C4HpWrZzD8ZWm3vheUJ0QlAu9Pfd5H2XILoAPW3bKzDPd+2z5zoB/K7K86rgXgW4l467nrbsta0lFTpgnKVge6kftMl5FcK7b19Ab9ezjQTgGQD03I/yW6he65azXpXkXpeAPGG6YDwV6VnLnJxWaV5rmFdQzjmCcoFzDQE167hHpB17XrtUz1zALYTX0j0t29PWvbZX1e8eF4YnVE/LdtXntsO2ynrvRR94fmE6Y5gKdL8fq6U7EJ266EL0df8u1dFj0DnQOdA50DnQOdA50DnQOdA5cGBtY9CD3x/AzoHOge8IjKyKHtf+bHUOdA50DuztHNgKoKM8B5wDswWOKrGtMy4sFjwmKF+C58JWoaf7XQ6YOlmfcy/V5UJMFejYurv9jqOnZ3t3r1OZbg31Ae2ntofielIhq5QX4grAtZ1XqT7WT56bga61vGlfiKuaXCUzwBbVs/CcdozR1jSmKuE5D7grDBemcy4AmOOE9cNV1guyBdcZtU65z6+inOcUutMf1eMJwoXt1rKfYfVkH299e8G6Nvn2y/egRb6W9yrKfd/WeGdcx5hNwDzfjX3Ld8d+c0m7dydYAMx5D9Y55zrrqjvpw/O51ufk2cgtJ1JoUa9lu7AcCIw9u/tYqrin70wW4D7Ac0Mrd8AQ8BBoqqI5a25XkC44VV0sbFaNLUC2PjbrQDyU5QSA/NCxp8YyaysDtwBfqtM5F7U7ilAgrlD4VT/9k98Cnv/sj//jRYhe1egJzwXqqObHOD2zUed832U3jokEQvGs0537WQd+CkHTtlywLIAXqlfAnOfn+nbwnHMF2ku1z+8/eueIBOjpCOB7SuV51iwXojvxQeV5VZkLx32/FaILzlM57npVn7vucSF2VYALzJdU66tg/KqosL6CdKH2Ktv3qjr/sUvee0H984Th1jd3O1XphO1Ui3bWVZJnW9YyF5QLyY2E5db21qY8YbmgWPW55wnCa3BP65d7nlCd/cB0FekVeKeq3LYE79q0571ow33WTxeCC8UTwGeNdFXnCc5ThY7jBdtO4tG+PsfEfgnMhed+X7ENRCeA6Jf96qE7EqL337br/52yo8egc6BzoHOgc6BzoHOgc6BzYP8axqATrxOvc6Bz4Duy4wWI1PBYw/T+fPXnq3Ogc2Dv5UBOphKeV/t2lOcqdrUTBzZqWa1tNSAdeG39Z0OwqopZ8K5aWcguTOdYKtqF5wJY7eMJwTgg3XrsLKk3DTjlXCHqXGN9sooXSANTBafCX8AtgNaa6CqTVa8LflW7M7lAEJ1gnnNVPatAVx0tYLYd9qedeKrPsx88S9ZZH/XHJ+idCnPrnAvRBblCcWuTO0FAa3vrmQN/B4j+xIaKWhCfSnTBeirAhdhVye4+lfFcT9v0i3vpFOBzaFfPMfuSQD4nAthP69Ozzbhrp0/+MonhFw49Pt4B+7HVt3a979d37LOyTd4cOvHsDNHN+cx/APq195wauae9u5Mv2Md7Yl14/s2//eZsWw5EB1gDQAF0wKFq5V4jVebARSFtgud9E5S23rMQGniI4hxQBcTS0l1wLqASoFsTnfaBwpe+5tWbVOir1Oir6qLfd92lmwA6fRH8akEuIM563MJ0+8+zpnJbWM05FShnDfWchJBjuQTMc5nqcyYVAM/Zl8rzCtCrdbt9TLv1qpTneCrPE6BnCNDr2NV65xmOJcA49yVAT9guPKfdJQiuQnxJpf5C4PlSXfOsb56qdY8lTM/rBOBCcde1as965WnHnnXLAePA8FSdu4+o0BwATE4IrFNdnvXHDdoSPKeVuUDaSCt1gbVqcSC00FwY7rogOlXinPuL7z4+t5NtZo1zIbf9E7B7virztGUX6gPPhe/UQFeJTlAuQrBueFxgLvjXUl+Azng60cYJP6rSG6Kv//fIjh6DzoHOgc6BzoHOgc6BzoHOgf27ZAzW3oGOHoPOgYsTmn/tsx//Z89/7oFrVgXHhek9c3/977Cjx6BzoHPge/0zg+/+VfbtqM9VAg/r8ONnB0hMgGhdaNXlqq9TVZ41qgWqqVJP629ButvWJgeyqi4XUgMoAeUVogM92Y/qG2t3rrNeuSA77duF9JwnQAauCtsF8Cq+tU4fyuST52bVsnbknge4ZdIBSy3pheX0ZYbmE1hn6TPz/MJjnsv9ti9UFiyrjgc8W+/cmuNZQ1zI7uQG639XxbpW6QmtheSG8Dyt4Z0cYV/Mh1Sj0y+APsd5Hz6vkwcE6DlxQdt38yFV/6rWaZvrGFtdCJzEgJ0+78GxJy84h3F3MgBtWMNd8M17I8z3VJob5D0TSADp5J127sB1xykBOgFAF6IDZAGVaeW+BM9/4kd/5IIa6QmbgZT7JnWtkDHtpQWFgE/OV51uP4BT1kEXoNOnrEn+ule+4vzLf/gHBzinP6vqoi8BdKA59u0EbQv1Ad8JlYXAuU5wLpE27UJx+sbSeujavXtt1hivFup1TNPanXMApIDtVbXPlyzcE27XdhN6Z1307WqeV5BeY6lWearPc9+SAj0Beu5bpQivsHwJpFfIbVRw7rncL2uQe77rCc6rIr0C9LwX20y+yG2P+/kAsBMJyIkBiCdIns4NLN1frc9zHUCstbvQWZCuHbuwGvv4CtJVc7udyyW794Tf3POV19w7A/e8VqidwN2+Ccbzfpxz6cGPz0ryBPxv+41HZhAPQJ9rod/20LiGNjgnVepE2riPvk4Anc8YY+ukHt7LEkBnmUp0fofpv2f79+j+W6pzoHOgc6BzoHOgc6BzoHPgwJ4bg7V3oKPHoHNgd+eA4LxC8//69IO3/+0XP/O48b/O/d5f/Od/+8A5tzleQXrb363/fXb0GHQOdA682D8ztrJuR32ufTsgEQAJoBWeC9ABhMJtVegC0lQbs9T2XICualk1c0J29wmIhbBCbtXjwEruD2AGmgPP6YNqdYC1+1WkY/Xu9QR955qsuc4zA1tZjrrcKL8npbL24Vq9W5PcvgrIVUIzdm+9+/TcT+6jql94rrLdNpwkkLbrgmVt3rV9Vy2d6nEBtPsI34Mwnb4LvjlP9bcOAQJu4bJq8nmyw5QPnJuW8QnbfYfCeFXvqss5NiYOTM/Ju2GbexO8G8J99tFxEvD7DgXtgnffJxMpAOiE48c7MGgnnRCcbGCdea75td86tQma+zkYef/whuPBlUeeGsCI2uhp8845FaCzTv1v4vq7nxxADwgqoFUZXWt41zraCVu1MQcyA8H2BSzUfhqQpVUysJJzgFKpQgdcsS5ET0tyVOhYuAPPE6BvBdJZR31u7XOAPWBSu3L6m1BZcKuqWuArbGc7lfjuSyV2wnMV+ml7LlCvAD3HWvU54zFcAop9+yqIzjOlRbsTImo994T7TlBYpTxPVf0SNN+JElyI7nhWcM4ybd6XILgAfVVt9bxvVY7TNutuVxCeoF27/lSRV/t2c1uleq1nbrAtHNehQTv3VJhry661uHA84XlC9NzP+cBkPmNAZK3JaY99fvYI11kCtrVVTzv2CsRVhmvV7jGvFZbnNQJwrkWBXtXtKtAF/RWwqzS3X7SR4Jx2Wc6wvMBx1ecAdAF81kh3koETDFSjM4mACSt89/BeGF8mPzDefFfhnpH10a2Lfv09n3kAiP4rb7nmZxqi9+/Q/XdU50DnQOdA50DnQOdA50DnwIE9NQZr70BHj0HnwO5XnQvOE5oDzIn/8YXfPf93X3jk/N98fiO+8bsf/28EMJ2oIL3/8bD+d9vRY9A50DnwvfjZsaQ8B55j3z7X657qPwsNXVd5bu1zVcDWLBeQqxTWlr0qmdmX6mUBrNCcNoY9+gRPAaDA6KyNjnU7EJX9gnO23UcI1YHTQFVgtjbqWsJzDPAt2LZGOX3zfqqeVbILjz0mAAfO0hYhhOcc4bmqc44niKdtAbO28EJ39qNqF5Sr9Ba4W3s7Ld0F7Cr+rSVOMD5OcOCcVJDTvu8ma6OrWPf9+u5qPXJhNFBbO3jvK6y2TcaYMeK9CNB5JnLMmuIsVaT7fIJucpBtxsgJEtreq0AnaN/3YWkCa5+be/ZJVTz3Hi4CR0/Pk0f8LHCPq+48NfpPfgHT6bN27qrRheYVoB/86OkB5wFBgFlgL0sg7JIqGnhd66FnXW1BqwBSMKW6EziFEhQI5TaKdNat4cy9WaqIVxUNMH7r5a+f4TlK9ArRV9VF/+S/eXgAdCbdoHAHiAEzrd9eFecJdqv9uM+sotza59W6XXjOfRwv1ekq1pfGOAE6YwHEY5s+MybAPfZXgO52VbmnzTz31XZfaK5t+9KEiFWW7O5P2O12rVte658n5K7rCdlrTfQK5Tle4XdVqScUX6pxbhvZPucIuj3fddvJuucZ6bRQVeZC9KxhnsDc0II9rdlZr3bsfq5qvXEhuhNVBNMJx3OpGtxrf+oNhzfWr7l3bjNriicsF8azv4L3VMITwOxUrbtuLfY8P4G+sNx1+2AkGOd61q+947EB3LVvd8l3j6p3x9+xFORbc54x57MHNOfzpgKd7y5jK4jek8L7d+j+O6pzoHOgc6BzoHOgc6BzoHPgwJ4Zg7V3oKPHoHNgd+aAykHheYJzoDnx//7428sMgPr//dy3YXoq0luNvv5329Fj0DnQOfBi5UCqz/m+J4DnCdCPPnnuz4GrwnEhKWAQgK5lOSFEVykO0Eyb9oThCV/TFjxraavIFtZyL2FrhabamgunAeHAc4A60FyA7rOw5DgwFMUz0NMYFt4T6FahLih3IoGg2Rrls0q8QHUCWCv4Zj/9EIg72YBnEtRrJy54pm1V0LZju1qfp825ynNt2QXhHBeAa4+vujwnJmihn+px+1Nt3IXLqKsThrvt/XwGob227uSG6ndi2NSfPDeXC9Cy3fv6HFzrJAEna6QC3gkLtEWbugAAwFlSC30cn9wCVKpbo70+J/elL1zPdbSpCt2cJefGhIyjp2c3hEPHnhqAXNCe4NwArKNWJ1CAA5YBRiqdq8o8t62DndC8WoOzDXwEFgKtAFAAL+ufA6MAVxwDjhEoz1Wj039UoPQHcK7qWnDO0lhSowvPuVb1OTbuPKN1zYGmLoXmgnIBeoLiVJEDoZkowFhU6/cKz1l3zITXqfJPaJ7rTGZI+3ZC8J8A3RronJt9TCt4gXn2Qxjvuaus2nMcUj0ufAZEZ+3yhOU5jktRz0+IXu3ehep5v1STV+v4PL4vlOcJ2JcU6ITXpFLd7YToCcpVrassF5oz+aHWLicE6GnDLtx1QkkCciFv1h7P2uSprma/yvFUgSc4d53jhEA84TRtsUxIv6RUz3t5TBW6fReCZx9UkPv8nq86PtuznayH7nPbt1ED/baHxnWozz0+LNwne3eV5zkZgffle8j3xfcUnznV6NrnJ0yvEB0XnYbo/Tt0/x3VOdA50DnQOdA50DnQOdA5cGDPjMHaO9DRY9A5sPtyoCrPE5z/7ZfODEjO8ltffWZTJEQHoBPf/PyJAdJRo//Zybs+2RB9/e+3o8egc6Bz4MX8+ZHW7UvwnHj49//0awBRYCdLFcfWz1ZRDlTXlt1w26WwWNApiFaBrt270NJzvb5auwvnVWmP9ZPnZniq2lwwLiQXphvAS5aez/qohX7s27XTCdTqKstV12urLigWZFNfWxW012vrbk11YD7PYH11nkOLdrdVqs+q9Lue3ujbBH6zrnkqzoXXCdBZOk5ek7XG3ScIt457OgVUu3377v14HkG0qvOsb8555JFqcW3ZrT0uAAd0E4wFx7kf13kvn9W2Bd/e38kU5A3v7fLbNqA544d63/fp+DpZw3acpGEdeoK+0CcmMjA5Q4W5ucz+Kz705FgC26mHDjTGrpzzU32eIN1SCDwfuUgNcoAqQGg7hbQgVugqYE4LdEOLa2GgEB0Q9Z57Pz1U8K+/+aEB0ugDcAqgb39SaY0K3njVT//kt4hVSnTWgfCMA8/LswKlh0L+0reOPgM4hbYJWtMiPOG5KnKgWsLeVK8L5lPtneB9u7F1fAHm1iZXfZ62604sYD/rugJkvXX7nAp0zmFJ21rJV+v2CrmXbNpTLS7UZpsxXFKm19rnVaFuGYBVivVUji8B9KW65gm/fbfVkp192rJzDjnh+Uaej3MC+1JprnKZPBfAph27FuwJz61NLsQ10rnBz4y1wVkmSE97dYEyS5XkGak2T5jNuU5isT2PW3Yhld8VwM/geYL0Wqh7nZHq91Sh57Gsq55qdGA4SnJhv5MFOIdj3Nv66KrPVZ7zvcJ3jnXQVeirfrf/Oe4q0LmO98k+7fMF6EuW7kB06qI3RO/fofvvqM6BzoHOgc6BzoHOgc6BzoEDe2YM1t6Bjouvpqn/HM/tdfev47v/vis8B5jP0Pwv//ACeL4E0oXoA6SfuPt8Q/TO1f6sdg50DuwN+/Zq3U48/MxXTgvPiYTjqsoTirtfYCkItz52glettwGOwlzV5wngBbm2kfXSDSG+MJ1t7dEBuyq3sxY2UBxw+o6jp2dYDszV4l2obs30Yfd+7Nk5AKFcr7U9IFagPaDupFQngKgq8WmH6wYMn+CuIFqrcet3A2sTzGujLgRXze3EgYTgwnMV3KwLwgXM1kVPe3InQuTkhlTD6wBQa6DbrpDbdyeEpm/DFn8C3k4c4Dr6xz2097d2Ocftv9DfnNP+3YkIHEtrea5Vic86ynBt4alPrqU+SnEnRFgrvj6f4+OkBhXsgnTa08qdfYB5+sySdgHiwGLA8SW3PDa2V6nQOY/PGe3d/8SZASy1Tv/+7/sHFyjQ0xZciL7K6jtrg6vM3jcBSqCVdc+BUIB0oDr2y0AuLdyBvEBwgDoAnTror3vlKzap0llnnyAdeP5DP/D951Fma93OknYAYwAxa5MD04kEpCrU6avAN8G0kDeV64awmuvT7p4QrKfaPJXibmvfDqCjPQC57yRV7QnOl+rSp7U+1wjjOUY7nrMEzpeguc/teHlOtWFX1b90/ZJFeyrIqwV7VZXXZVWQV7ieMF0r/iWA7rognHdvVEt2FeZatpNPacFOjqV63JrkVfGcS+uSC4/Zrx17WrNnLfOsBe4xVdsJuoXjgHKs2Yfa/Jp753MAzu4Xrntuqr+1Ure/CbqzBjpAW0ANxPacrGHOUggu6E6on9bvs1X7pCBnXdBvOwJ07u0zzQD9tm/brmv37rtxYoP14n3X5ADPxHeU60LzGtXSPSE6v+NcesWbXsb/Rdb9+1dHj0HnQOdA50DnQOdA50DnQOdA58CBF2UMemD7w7Xjf4b7D/EM9zdQf+l8SfO+ebcVngPEBzgXnq+A6EsqdCzd/+dn7x3x1RMf+otUondN9PW/844eg86BzoHv1s+PreB5AnSgngp0wbg1zRNsDtXvBLIJ1eLahbvNOQJi21KBnkr0vN5zBOgCTo/TpjbvXitgBmQKroG3KMO1VRemDvh9/Ow4D+CaSvXcBqoLZNkWnnMP2mW/9wHC0yb7GEPaytrq2q6zVDFPeIwA0lr7W4UzwFnV9ZiMcPzsbCOvgpxtoDChet13kOp+xkrQnbb6TmZQ6V2t9o1Unmd7hjnBtbwbxmE846Q8t8a7NdLpt+UAnAQgKBfMp+08eakVvfdn3Ee7J8/Ndv28g3QR4D5MhKAeujXQ07bd/qtGHzk7WeZzrup4AtisRbsOC44bz8x+VOXUOdf6varQVaAbQGogKrAWpfaSjXuC8wSiSwrhhMzsS2U664BYVJ4ASIE6gAsoJVAHSLEfuA8AF5obQGQhOoEiHXhu3XMmCbDk2YTyqsABvdzbmuhC1n0TJBUSC6ATImf99BpCZOF5gncV30vW+Gm9znMBYn0fbKsaF3arcCcShtueY62inTaseb4EzxOaZw34qhYXoAvBU42f4HtJxV6V5Qmwax3zqixPOO69qz17rYPuNVtZsec+1OVZx1yYWpXmANdUmScsZ3/W1wbMao/ONvcQbhPW/s6a5Z4rUOb6hNRpd54qc6G3gBsobY3yhOZZ41w4bhsCd9XdKtMTyifMzzrlKsSF3oBsIvtouwJugDbbQHsirxeWC+C1ZWfpftbdDyy/8vAnx/VX3PrIrERnYg7fI1rGE7yvhOm8NyYusOS7gqUAnf0JzasKXYDuMiE6ddEbovfv0P13VOdA50DnQOdA58Df9/8nNTqXOpc6Bw7sujFYewc6Lg4VGWpkFck1PCZQbyB68b973ic1ywHo2rYLz//3n57dDM9fAEgHoH/jiSMN0XfBe+7oMegc6Bz4XsBzwXnCcwCl8Fy1uEBboClIVw2cAFzFcyrIs465QJxrst65AN7zE4x7PecnUE/lMEtUz9YYp28CayC09ucCaKCqy7F+7NmhUFeBTjsq1DMA6iwHTD96eoQQnmOCec6xXjtL+qBduxbvQHct6K2Fznmq2wG4AFuBr/1Xqa7NuLXB0869QmZBtGOa1uUq/t1WWW4bvkfhucp3z9c2XmW6bZhLCfZnS/ypn7oS2D+V857jM/huOeazWmKA6xk3xovrxvMePzvv8/3zzqiFrkV85qOTExw769qPNo59cVaho0hnH9uAb0C4YyVUZx9j6iSMt9/5mXk/MFqLdCA7SnXaYT+AFkAKvAXMVqtxIa/W7ASQEsCnwleIyX6ssYmE6q6r2k6oCowFUlpzWEAJRBaAA8xVUxtsq0RHeT5qnv/xXw14znPNivarbx795xm5BqDMvfZNAHXYu08KZOG5tu0J0Okn5+a+BMbapav2FjJXaF7HVbDNBAbt5hkH+yswpz9auXufVLzTb+/lM/i8ae9eny9hd1VpZ51w9zkWWt2vAucJzKt6vELupfvUmuUJxJ3ssFV981rnPKF4bUtVufXLjaxhnsC82q5XhTnAXGgOZB4W8FONb+ugqygXTFsDPe3OrX1uffMKplWWpx171jEXSqeq3Brq9T6uq0ZPS3fbF9h7H8F8WrMLyAkBvvdlH3Ab6J1t+ywq1hOgZ/1znj8Buop1gmND3X7rI+MYYJvvO1XogO/hFnDLiTHOftf4znSqGGUkJoeBBOf0PSF61kVfUqIL0fuf3v17df9t1TnQOdA50DnQObAT1pJl7zJSnNi51LnUOXBg14zB2jvQrIX6YgAAIABJREFUsbtVyEJzYaqK5KFKnrYJjleY3iD94q59nurzGZqvUp97rOwXoKNA3wTRuyb62t91R49B50DnwHfzZwc/87eC54BzAHrCc0GrMFyAroW41t/uE0QKytPmXTirgtz2PVfFcsLxGdIXJbX3cF2Lb/uiQt463YBMILaqce3UtWJXMQ4AR6EMHAXyCtCF5J5DsF+ls7bv7mddoC5A51qBuvcT0NIPwTr3RtWuSl37cOC5yuxap1vAzDlasAulVW6nalzonWNabdLpS058UOnv/XQdyPaE7CrNff+Cap0MBODmFv0FTNP2gPAnz22qSe771HY966CTq55n7Xnt1x1P6pMP6/W7nh6TJBhTSwpok+8EkZyAwH7eBeerZEe9TtBXbeqB38BxlPasC491YXj1TQ+OvCKHXn71faMW8KETz879I3+0fAcWAVWBh8DCJcgrqNUCnWsSFAID9011sIWY1pgGtnqetbMTqKuaTjvxat2d1vFCZ0Ay+1GpqzxXVQ/MSut2ztO6HaAMWBZys8++1xrv2r4L+t2XCmyX9sfa355f1fwZPjfLocyfapRbR1v1ueBcZXsC9FymCp17O+mgKtSz3znWS9DaZ0m1OOOVAH3JQr1C7CWwnWpy1eMJwZ1sQS55XirIV91D0G8/U0kuSK/wXIW5AZx1MseSwty8t655Ks8B0Kk+r3bsadOeKu+E2arRs/a4QDzhszbu3tN2WU/ornW669XaXSW5bQnNvYdta50OUPY5BN7WGweQEyrSVZgLu1Wge/8lBXqqz93HOUJ4IXqF6XzXCelRkxNAbuA5yxmkT3Xqeb/khN8XuGDwHTEm8UznWztdNXutjc73jctq587f0P0P7/7duv++6hzoHOgc6BzoHFj1/5J09pWfPPq+N1/ueooT+3eKzqP+Ljmwa8Zg7R3o2N3wXHA+Q/MvnTmf9bDdn0A9YXor0i++d887q/btm8B5heV1XwHpDdHX/147egw6BzoHXuyfG1vC80l9jhoW2GuoClZRLgAVaAq3hdbuF6QmoK326+6zDdXNwsxUQwvLK0DXIpxzVSprCa/dNwGgdh3A6jaAW4UxS2t7A0q1ZFfBrA27tuBatwPFuQ4Ial31AdYf3qizTgBZPZd7WotdwM89OIdt7jWOH/t2aCMOtKX/qtS9VqgsNOY8a52nGpxn0yZdUC6gzpri1lTPiQ6+L5XnTmrw/ITySwp265RbXzzvI5Tn2XQlULGe+WUe5IQMgT3n0r77nSihXT/bQHRgOGPJWFtT3ry1LID9t08A8wHpJ0cA34eTAmhLcK4i3Rrp3MO84div/dapAc+F67TD5+7uk0+PABgJxQFCQFpU6BX0qvrmXJTdBCAqFaaCc6BhtclWiTvWL7txgMcEnqrTs854XReiA0fpE4ptxsAJBMB0nkH4TF95Hm3IVXV7zLrn3kcYLTBPWJ7AvO6zX04ySPV5rSfvuRkCdPrEtjW1nTggOPdc9/tuMnKMfP6E51Uh/kKAd9YsF6AvWbVz72yXd54g3O0E4Tm5ogL0ar9uDuX1LFOZzraR8FyVuWBcdTlLa3sT1jxXoUxUu/WsQz5bpU9w3WtTjU6wLpxX0Z2wOhXYwnT657085rpQ2/YTfickB0L7ea32756vwlsVu/cRoidwz9rkdd+oR37rIzMEt766sNu65CrYsw2V7Y6DAF0L+Bn0T8+EfftS3XRAuoA766ALxA0nSfDdwRIFOp8/np/1hOdcz37Wl2qjA9Df9N47/0tD9P79uv/G6hzoHOgc6BzYu3brW0HupZK4ihQfvumNh2EnlDfNYD/HgeotTFz/O+/oMdg/jUEnQyfDBTmgAjnhuSrkDAFphekJ0nv21MUN0LFv3xKU1/1//R+3hOiq0I2qRHfSRc+0W38udPQYdA50DnzH8Pz3//RrGcJelcMJWNPCnf0sh/L85LkBH4GFQvcEnFlLW8Vx1kf3PNXuQt6sky54TyBv2wJ0+5q27rSJKniovidoa41ttofy++S5GUxn7W2BtcplQCzKclXrb7379GwNL/Rm/IDkCc8NQTsgVbt4gvZpL9tmKagf/ZruT3+shz6eYbKk95jg2bFQZZ1W7mmFz1jTFu/MMWE8ra3u+87JC7YvtBc0JxjnfeSY+y7oj+f6rtMO3tyzbbYZO+G5uTir+qPtYe3O+E61y3VJYBznGvTHNtwFGHMt4nNc6HdOFHC8vZ518sJc4T2ljT4KcuGxVu7c/5JbHjv/iwcfHEr4q+48NddI55l576rPgVLUTBcgAo4E6EBXIa3gVwgNVLIOMKCKEJ6pfhUcCtOz3jRwUftkVcAC2LR5T3Bba3QDwZ1EQGDbLjxXpe25qTafIeqkQvecfM6se56W7YLavE6wLeR2jKqtelWdp+KefUBdAb810NOKPeuYJ7BPiM4x1fBMLqCfCe5zUkKtGb4q0i0gt61xn+B7lRo9Ibz54LrvPp0JnIjhNmPudeZU2rGzJLJuufu0YheUCsrNeRXkhIryJYt21eXs53phO+BWlbkAO1XnwOcxcWCyKjdUkgOChd7jHgGS+Uw5QcUQICdgTgV3KtBpS0DPdtq5pzKcpbXIBe2pdM866bZpPwjP4bpR5/zmh8Z3i+p3z0sQLvT2WTLSst266a5z/auuPz73QcU5bQ04P6nf33Pvp+ca6ON7YaqDvgqg83nRtp3vEHIo7doToNtOgvNUoVeI/itvueZn+m/Z/v25/4bqHOgc6BzoHHjpKsczhOP1f9i1JC5AnP95C8q/euJDf7Eqfu/Xr/lD/0cuRF/3OHT0GOzf42Ow9g507L4x4Au6KpBnaL6N0hjg+jeff2RDpb6gRm8wehEC9K1U5juJFfXQV9m5d66sPw86egw6BzoHtvtZsSU8L+Ac9TmgEnU0EFIoqa04IBLgJzBXqS34FnwmcBVGuq0SWjCbtt9awaeteKrNAY5Cd9tWHc82kJz+qAhOdbsKauuLpw26Vu0AUo+x5FxAqRB92HpPVuuMUdYjV43uGFhzHVirKr3WUHcf8BRrb4G669YIF84b9Cvt3LVqZx8h0BacZ130VKWr1Pf9WrvciROcm8r1VJbbToLwtFVPFXhavbOOrTvbjBXPZz4IxAXg2rOz7brOB9rLe3/zg+sF9qlYH/ujjjn35R1qka/S3pzMyRc6AHAeS1XnLBlvVe6q7XmfqMkB6E7cYN/ltz0+APprP3h61F/nGOdgP8/5gGfihqOnx7sHNgEZAUBA4O//vn8wg1fBsDW4gaTAJS2br73jsRmkowYVpLOc6ylfduOAegnRibSerjbvCV6F16qfgcUAcycPWPMc8AU01qY87clVZCdITxCeVuipMk9VdY2sTy4813a9WrYLvYXY9tG2R93tN94wQN4HDh8etdCtp67tfNY4F85XFbqTC/J8YX2qxZcs27NmeVWeC9EF56k4T9ieFu9Ldc6zLnnC8QryMwdyAkYqzNPNIFXm1jBPC3ZrjKsuF4ibe+xXQa6jgvBcUE4I0IW8acWe9c49X4jO/iW7dqG0kNtr/AxlLXPvNyvfJ4jsdWmr7j1sW9v1hOip+Bbie79sR2t3+wrMTlW71wyAfusG0FYt7lgIxAlAN30RrGvBnjXPOc53C98xWR99tHHwwXENfQCWcx77OOa219oW321cn7bsgnFyhe8OPnt8jzCBhXzKmucCdJe07SQirkGtnlA9IfolV7/3uobo/Tt0/x3VOdA50DnQOXBx50AF4AnBM7RfT9t1S9tlSdyE5n95/OD5rz/06xfEV47eeP7sbx8aIURXid4sZf050XFgT4/B2jvQsfvGQPX5IjwvCuNUoldACkgHjAJiG4xePLEI0Lezat8GoG+lQv/rz55YCdHXPRYdPQadA50DnQMX5kCF51upzglAHkBXm2thOOBTe3WtsgWtw/J8gqMCWFXq1ktXuZxgPO3as7Z5glOt4g0Vu/aDdetvW5tb4Fst3LOOO+2ruBYeq/JWScx++gYkFRjbP2unc05VJwuzB8ifrL4Fw6rNUSNbR53xBrBbF519HBOWaz2O5bg1uAXB1gxnXahucMxlThoQrAt8rRUudLauesJxIXRVkQvYfQdCdicsmCuOB0vgOeGY0H+uSyt1+8I+j3MN675z+yd4Zz/v33rktA2gtr2E8I4p/XQChPlo7jppQxt43/F4p8e+OPrC+3DszRFrt3OcCRL0C3iOUwETI95+52fGewGgkwtCdj57BLbu195zatwTm/d9l904oBDqZQE6Yf3wBJlARKAToEil5wBWt22AdBSogCUgWqpVhZwJQAXogj62UewS2n5rzS2wFZ4PgP7MmQGvgFiAZmuPC91T0S5EF54TaaXOs1Zg77r1wBOaO6FAtXtaphvZvvXR05be+9AGoJdnUIEOBGcJ2Mt7OrHB9rOWPG1xDecL8bVuT0v0Cs4ruE5r/QrS63W1Dd6t+1gnPC8t2qsle+6rdu6E9uicq5OBkDst2VWQr7JjJ99cJkhP6C0sF6AnKFYpDcT1OlXRgmhtyBOMJzQXFAu3heIct9/cU8W2sFvg7Gcm+8t+VdJ5X/qUEF5o7jJBt9cJulWpu599Kuc5xmfeNofK+7YN9blLLeA5VwW5gN02VKtbP13LdL9TBOOC+1fftAHQaZcl3zlCeNu//u4nx3cTfWLbPjI+hiCdnOH7g/VRM/39t48cq5bvjq3vJgF7VbbThhD9+ns+80BD9P7bof926BzoHOgc6By4+BXn2ynH3VeFgwnP8xog+TdP3D3iG08cmdfZD1QnvvrxWwdIf+b2dw2IjqU7fWgV+vpzo+PAnh6DtXegY/f9sOCLfqX6vAD0qixeUhoDR5cges+g2p1Ra6DzLre1as8JFdso0StAX6VE71l268+Fjh6DzoHOgVU/J7aD5wA8VK9CPOAfcA/IZ01rgbXKcgG46nQttVV5a8/u9mzzPllqa+0ucBfcav+tNbwwMwG6kFy7eEG57aVyXWCf9uNaz6tgdr/QnOPCdYGsoJ2+adutglqwzDWMHecOwD4BY/YDUAeoniA769bETrU56wB0wbownWOAWhTugFhqcVv/3HXV0ASwWTW9wFelOtDZ56N/TgzwPavG1lLdcc9znMSgit/3ptLcdzJbxJ88N7c3Q/vjZ+frZhv9R7881Nn0T3V4qtoZCy3beUaO8b4A1SzNI/PYd8tYCu99bid+mG9EBehOFuCejDVBP7V/Z8zp66htPo2Zqn8naWjhznX088ojT82fLdb53BEo0IXoAHT6D0wHPgK9K0AHvgovAYr7JltsIBJACjgFwDp07KlZkYkKFRU8FvIEwAuozvkASQGmimIgufDSGupaX7utSplaxcJzvk/ufeDxAb/ovzXLq3pc8Cs8V0FuLXHhubC8Xlvrned17KNdoHXWj8+a5FUNn3b0tss++mY9ehSxQDjruQvODbYF41nL3TGotvEqxxOIc43jXyH4knK8QnOuz/1OevBYVbZXSO/7J7ecWFFV5/ZNaF6V4cBPxitrlXOeNuppvQ70HDk82aWbi+ajkDgV4iqv85iqb0G6xwHVWrjPNdFDXe5kEZf0n3WBrLBZKC5cFlontBd6C+KF3NrT82xZY539CZLTWt1z0qpd1bfPUeuqp0I+1ePs00ZdAF9rqLMUhnOOFu26WtCGUF3Ybptem3btqtI91+OHHzhz/raPndpkf+/4CNMF33zOyMHxHfb+28fnMpXmgHVr0RMq0ck/Qbrw3PVUogPR33jj4V9Cic4/vPt/Hv27dP891TnQOdA50Dlw8anOKwAn/tPj9w7IPUexXN8pOKcdlwnQCQD6f7j9mhmitwp9/bnRcWDPj8GeH4D+EGz+YUGstG8Hmk7gVOV5AtEKR5cgeq2L3rbuu+9LiD/0cxLFDNB3YuW+1XlbAPRVSvRWoa8/Hzp6DDoHOgfqz4gL4HlA8wwAHxAPUAjoA8oCLwXOKtGzHnlVGasWd7+wPa3UE5TbTsJtlc6C7KxjLpTnOgG6bbBfsC+4165cdXoCdBXpPKMTA1RlC/oF+Cqahegq1l23bwJYbcutK8540g5AVHX/UDxPCnZragPGAeVAcpTJAGSuBb6rTmepep1jnItK3frogFktyoG7qsSFzYJ2n1OonI4CAnGC812nHZ9NZbYTBLTQ930Iyn1P9sN3bK11FfGOqeBZJTrH2c9YsI9IW3na0Urffali911bq33ca1KiC+0534kc9F8lu8/IEqgtRHeyA++LdzeXAkCdPo2jEzdYx10AoOxnjOu4J6CZY0BulOYoMzkucCeOPPzcBQAdEEwIaYGYWlkLKlW9Yt2uEp37sI49/FUf/tRYMlFGiJ6qVqCa6nKBKgE0Fdpp884+lOZf+pM/ma3bhecAVEE1EGzfBJMThmuTXm3b00q9XmOo/gZGpwJ9bncC3E464LxUmXOOCvoEyD67z09/AHKs8xw8G+pzrq928N7f9nlm+sX7W1KfZ93yBNwJt7VgT4CdivR0Acha5sLzVJhzfKm2eW3Xd05/DI7z/ILvVJMDhg2PCcttS0V5KswJgGdC4lRp534Bd4b7EjwTfiY8Z3ZUmMC7+4TSrrv0viqo2a81eYXYAnQBfu2P21xDv7Q8p02WCYA5R9W8nzOV7LZlnXSWeT/riQvNEyoLsY1qBc89/fwL0O2/4Huo2W/bcLBwEoHqdb5DLrnlsQ2ofsuJ2fGCtpzMQ9AWCvahKP/whqrdfjqRQkt2PnNOVgF887nje4LjXMv3GctUonONSnbrrKcSvUJ0rNwv+9VDdwDRu3Zp/w7df0d1DnQOdA50Dlxc8HwJgAu+x/+tnzgyoLcQHcv1BOlem+DcdcF57kt4ngD939325lmFzqS8npC3/jzpOLBnx2DtHejY3fAUC++E6KlGB4b+3Rc2Q9BVgJR2al10Z2fVeiH9Q2F35IA2/rzjTSr0CsiXtr/6zLJrwVefmXOCdmv+pBLdyRY9yWL93wsdPQadA50D/nxeBc8JgJ4gHVDHNpBQq3BAobAzwbWAWHV1QnMBbMLzVKULrYWwqpnzmCriAdEnBTEBROV+CfAr5EyQr0JaWA/8VO1sP9knXLWdrJ3OEqCZinafhWuAoAJ0oa3PNODpyXOzmluADrDVUj2h/KgDHrbuQ9l+4rm5rjrr1pznGpTMBvtUqqtSV+muUppA2a1KHeibcNnJANY1931opW7ke0s7f8fGcQRU26416s0n1ehCfkJbd+Ay/ddenn08G8+ZNvS+P+udW1OdHNYVgP4MJfqkMk+gnm4DvsOE12n/r/077dEXxpaxpq8EY8x+JjB4D66jv7okAML5jPF501pe2IylOxAbtTnnclzYDoiyBjrQNQE6IFYAq0IUYK6CVtW5dYc5JnRClU4c/OjpAbmsXey624DtfZOaWQg6QGKAUECy8FzlOf0dytFL3zrXC6edhOECZsF6wvFUiGct74TnaZEOmBaWV9t2leeeLzxPxXcC5VRVC6K5B2Mxanlf+tYZoNca56PO91TnHOU757LOkki1ej6j97YG/ZKFOyBcuF2Bf8Jv1eFGQni2fZ8J6YXuHMta5iy1ZFcZnpDcfcJyzhWCWsN8BvFTvXGvSaV51ipXGZ325kLwtCxXyS3sznroXAN4BZSmQp1jAFz25VJFe6rYyX+gMsfTUp3PkPbownPV3WndznqWSRCAC66zDnu2pR182ss7LrZhnfO0j9eK3b7abwJYrVo84bftqSp3TFS0j+c/+OCmd6P6nO+KVJZ7vv1iP24X9o1JO3zXAdGF7PSL7yNhN8+fkzF4JwJ0vlP43JH7KtStmy4U18pdGJ/Kc8NrsyZ6QvRLr3jTy9p6tX+P7r+lOgc6BzoHOgd29/84qno8ATjB/6sB6NV2XeDNckD3j986w3HWl5Z53DYM4Tlx8t1v+FrbuK8/TzoO7Pkx2PMD0B+CC394CE8BmdQxF6JvUqNvoyZOoM65Xg+QFaQbWS9EkN52Z+v9BcJZd7wfcmATRA9gfoFlu8erEn2C6EsW/xncK5XoCdH7Hw/9A6u/rzsHOgfW+7OB72Lg+X1PfuGqqjwHzlX1uXWlUTtfdeepuSZ5rUEu8LUutHbsQkNVyJ4rZE+obrsqfwXSFa4LNOea6wHUhfpCzrTcFpgLfO2ftcsBsyrqBfHcy+fxGoLz7C/g1P0AU+Csz8yzAMd9Rp5nBuGTAn5A6pPnNtmW077W5a5rGa4CnX6petbaneAY27wz2rV+ukCd64DR1vsWog+l9/Gzs2151qDX4lyA7P6E566nTbvPlzbweb5W6zoMqIa3Vjj9EpbT11TMOzlByM6zM/Y8t+p3rmE8hPXcw/ejvT5tmF+27QSHLDngczuhg/MZQ87lnqrNcWkgGGOs9+mDtdDNM56PftA27wObdj9vfv7Yj3LT/eQQ7x/ADUQSACVATxt3gJKKc+CUanNgEzbJBAp3oBWwCrU4kJslAdjCzh01us9EAL8GLLzlxCaI7hIYS994hq8///wA6AnPBciAbMCqIFh7dK3KAdNsa70u7K5W7QnOPSeV6irQiYTnWec8gXyt5e0zCaDd5jraoT3t6IF6AHTaYj/n8Cw8N8Exw3EgEp4bad9OG9WOXeV5QvAKze1vtiEYF8jneT6n4FxQDrB0qYqcZ9Z+XTV5VZVnpMJclbeq7jwu9E6r9axFnspy64WnwjuBs84IA+pPcJnc1R48gbVtzArvqT66gF6learhs066imdBcVq4C9BRQavoTrW799bi3WevNd4TcAvXU11vW14n/LZ+uhMDfE5KN2g5DxC3n6kwt567anPHQJV5qt/nmum3bqjKnTDAMT7/w5b+1g0FOkvHB5cNzrcmuwryMQFhUs/7TnOSBbln/XK+C/xO5HyXqtSF6KrPM5aU6Fq5A9Hffe+T7xOit0ig/47pv2M6BzoHOgc6B3ZfvXPhOf9/rvBcaK7gSxt2ATrA+7+/5/rNEH0C6KrUE5TndsJzlrQjODe6Dvr686Sjx4Ac6EToRLggB4SnAExA5jc/v/HDApAO+ASEL0FQfggswXNBq1FhelWmN0jfHZAkJ1JkffsLlOhFge4Ei3z3S7b/uaxKdGxtWoneP6T6+7lzoHNg91mazfB8AujaSCdEF5yzBFQCaa0nnapwa48LSgXeqdZWmc51AGltzdPqXajONuekYleYK2QVKArIhZ8J6RN+csxrtOmuVvBsW4Pb/YJyVdkDbkd9bvvrpADhsQBfpTOQlTEU1gvbHRv2AX9tF6Ctbbx9FbCnyl2bdOumC9ZVPQNu5zrcJ56bATvvUcU375XrreFt/XWvn+uST88rmJ5rj0/QXJv6BOb5LgjfVVr2q3DPevH0JWutc3/6pvU+29aTV43O+pgwML1H9tGW1vbus8Y67dMP2tUyPu3ps446/c4JFEBsn003AUI7esA/bg3vOLqhmud5uK/nEJzjPp6L95CfPaAzuaP63OCzgWodwAMMBvYAapcAOvAVgDjqnt+6AdCpMcw2gBxQhfITiE4ArQTrnEsA0XkWwDl5KUQXdAEEgZOphua+D332Dy+wbRcsE/smQC7ETct0VOkotlkKwrN++RI4z0gbd7a1SNcKnvHJOudV1V3reada2m376uQF7iEYzzroPCegOQE6xwkBerVvT7CvkrzaqicwT+t1QXmF4dlv31MC9KxvniA8gflSCOK1P/c6wbjwm/0JqD1fBXo9v0LzBNY+TwLoer3Xut992spnbfBaSzyheaq9szY6/U/1Oesqn4XNAui0a+e8VKDXZxM2ezyV6yyBvyrjnShgHzzmcUG4UFsYLdR2H0A/ob428UPFPqnJadPa4tk/leaCeeG9AF3lO/difKydjusFE3GE5mzzfcJxLd3d5ntJhTj95f3x3cHniuC7hcga6ALzVJsT9C33WRddJXuF6ksQvV3V1v/7bEePQedA50DnwIv/f4Ol2M3wvFq2p+pc2/YE6MaScpxlgvME5Fk7PcG715572y+PSPV5Wri3qGz9edNxYM+Owdo70LH7xiDh6YDoTxzZ+EExgXTVyBV61lhSICdMF6Rr774VSN+NP3D3go27Eyl891taua9QoqdKvU6+0NK9TsZAiQ5AJ6yH3nbu68+Ljh6DzoG9lwMVnqd1u/C8wjsVr8NmGuD6wJlZiWs9cY6r0haia/Eu/BZiW0eadSBtwleVytau9nxBfUJaQazAPNXgaSNumwJqrbGF1PaNpZbr1txWAU4/hLbuH0ruqGXtefTJ64XI3FMbdoH3DF4f/fKGzfo06cBn0JaetgDY9gVQK3zXNtza2kOpPtnA0xb3A3oCZbV4p3a6sN39LNmvZb111TmGcppzVaVzrRbzacMuABaGJzBnXMifVPwLxnUESCV62rxb45y+0Q+As5MqfBdA7tmufqorb9121lXlW+ccAMyzcY75wXG2uZ8qf9+5Ezy8X46//dWCn75yPn3l3gJn68/THkuOs3Qigtb4Ois4gSRdIMhbYTTPClQHMANwgdy1BnoCdGLUUz744IYKfbKYBw6xDbjCxh2ALswCerEPVajKUJ8DRwACZTzXqtwVpHLf249+bJPyHLgFMKafS7XNBegGEwM4BlhOSJ7nCpi1LbfGONewXzjtPu/r2LAugF6yLU+YnADa2t+eD/R2zAHm9F1r/YTlqmATnmvhvmTf7rtL4O390749LfQToKdtO7BXm/f6PAnKAZOqxYXjs3o7ALnwNmuXV1juOrmnbfusNp9AdNYeT2ieQJ0+ATgF2Fm7PMF31jP3HoJlgbVuDLbv/lXtAlcTnKcNvFA8bdUFvAnOa71z72X/KqTXDj0nAeR+rdfHc03jlhA97yt0B0TzeRZea8vuJJgB7Q8+OMpF5JiM9g4+OCC6992kWI/JAdmuYF3lOJG11jmPiTkCfBw1VJzzXUNfWQrDUx114WkrAAAgAElEQVQu8EZ9zvfKBw4f/taYuPD+28dnT3gucM8a6Gnhbjse8zqXBgC9QnT++d3/11j/77UdPQadA50DnQMv3v8N+F8yP+v8/4Hru+1/+kvwfAgIJziOqIv/TQvPXa/wHAgO/HaZKnShuduuJzQ3AOefuvGXzn/u0BWbAPoD7/zlxx9935svp6+7bQw7egz276ExWHsHOna3hXfalwjSU2G+yo570cI7a2EHaBWicx0QHWArSG+IvntU6EB0Jk1serdbQHTe6wV5MCnQU82eKvScmMEvJyrRhejkZc+6W/93REePQefA3smBFwLP0y5axauh2lxILCAVJLIEEAqWVWhnqABO5bEg1drQtJWW8MJWVcNVOa76WQDrNQnWVYoLzVXJaxmvOtg+aeVOCO613hYYew/HRtgtlLcOtxMBuB6o67Nxjn3RHj3t39kvuHZcBbpauKueHpD/5Ll50gBwnPadHDBge9Q/51kF5sSwGD/x3FgHKnut9+EaoW8CdNpLBba2+sJu7fCtGQ+s1hGAftqWY+44O2mA53JiQirxtW3nvHx/nMvSZ0hArXW+SnSeV+juJAbeWb5X1lPlnjlrTrOf673WdwZEZ9yuvefUDNF5B0wG8L7soz3rn7OkLT6PQvME6ExkGfWbp1rcKMmBsQB0IK4wFwib9bGBWjccPT3g1K2f+INZ4QmMVwFKP1kCwYBpWr+jSAekM6kCS3cmZwDRaS9BonWJ6SsA/elnzszw3Prf1gN3AgAg2zroLA32A5aJVJ0Lw4HLqTZn22Ncw5ho2057QFxrqKeyO9XnaW++pMZOa3IV6LQH+FZBLvzn+XhPvB8mFKhyFaJr4S48t50E6FmPnfFJeK4Cvfa3KugF6AJxAXmqy4XYAlkBOPmlynqGzqG8pg2ur8rvqhy3nrnXJ/RO1XeqsYXrAE9cDlgO6+7JVr0C97R3T+CdwD7hcPbDcwXO2qDzztxnX1Rus0xbdcF6AuQEzJ4juPXchOTeY0DtK2+Za6hrvW477CcYe/s9W6UffHAoyO2PE1zos5NjVJCzzueba1Suqz534sHLr95QtWvVvulZuW6636hxfvOGOl1rd6G5inO2Rz9u2wDlfKewj+8knDCczONEHu6RFu7kAUvfC58nPktMIuIzxueFc7LueQJ8jpFDgPRUqGfdc6/l3ATw1kMnLrn6vdc1RF//77UdPQadA50DnQMvnppbO3QC8Ou6/8vdDRA4a54v1TtPUC5AR+SV8NxICA70FqAnJE+4/szt75qX7gecE60+7++mdX82Og6sHIMenE6QHc/G2gqi1+1N4FR4nhEqZa8RogvSU42+m37Y7oWodjba+W9SoS9YuesukO92K4Be7dyrq4EQnfwjD/3Fq/Ng/TnS0WPQObB3fg5Q93wJnqfStUJ0tgG62FALw609rgqd7VSjpy270DNrnacdu8dVlw9AefLcpvNsx7rati8Mz3rUKpwFtgnZBfCC3YTW2qIL4+2f7aD6VZEMhE17+VSyC74FvaqoBcPjHpN62WfiGhXUQnfOE6aO+utTHXPhuf23Vrdge0DhCcbOoH6qDz9qv5947tsg/PjZTW0Pi/RpH0ufdajgj5+dVe5pWW69dG3QhfJCdm3RzQ3fB/dLpboqdq5R6e1kCEAt++i/kxdshz7yLGn3br8E5VzPMwHUVewTTBSgfxwHbg/l/aRKV9XOPc0bzsU6XUjPeXw2dC7guQmfSYU/48f9qSMOOCfGhIe7np6f18kjPB/vnb7omJDB5xFrdKA0kBVQC+RhPe3bCcArwDnVwNYa5jlQkAO8hOeAMJTpQHFUpgAxwBdKUY6jEqVOO+cA0Rk366PTzlCVRt1zvl+AxwnPBcvCc+DuvstuHNDZeuhas1dwbmT987RqT8CuLbrtonbn/o5LtWrnvgLoVGYDUt1W3Zw1xbPmuhAdAO4z0h/V58I41hkH+sOxVJ+nDX2ty57w3EkRLIX5jiVRrddzHXiYkwFme/JQlguzsy53BckJb7U7T4vzhOPkkfu1bBfWJzh3vdquWxM9+6eFe95H8FvhesJ064d7f4Cq7aOAZps+OinE2t6Ca4F5WqDPau2oEZ7KdKGz5xNpr+59CLa1GqcvXKPte9rAO/aCZtsTjnse13t/cpDPvyp8z68gXDt3wu8BvgP4nKfK3ety3fOF84J0ofpQpk+KeI+PuHXDDUNXDCcOCMFVjY+yEoeOjmfXwt1JKnz2GLOsce51rqcC3f1V5c5nFIAuaE8luhAdK3dtWPvv2fX/rtvRY9A50DnQOfCd5YCKc4E0/z+2lriBBbkq6nWr0atYrMJz/v+c4Fx4LlTP2udCc8F5DYH4Z259+7wuQPc6wPmnL/3nQ3lOcG5atzNu6x6zjh6D/T0GDdA7CXb+Q2XEx289L0iv9c4rSN8OoC/VxM42VKNXiN7vbP0q9E0QvcaCjfts5V4mTdhOfff8gsLSX2C+9OAd56uVe+dB/xDvHOgc6Bx48b7//RmwCp7XSIAuWAd8AhIFuNq4q/hWSZxW6kJu9wmwVXur4BUEC6BTsW47CeEThnt/71mBtoAWQGmbqpOzxrnPwnWATiEsMNRzBLzDPvzkubkGt/31vkBPFdFakdt/FcruV82smpy2ud6JBLwjAK2wmb4AdVVnC9oHBJ/GhHOz3jb7vY/24jyHdbhVd1v7XODuM3IO7RGCdK3irUvu89oP1dcCdO/HccE3fasuAcJkc8b3K2D3PCdIkHep1ufe1ni3xjn3py+CbIE6Cmz6o5U75wDRdRgYsP7RL8+qcbZpl6Vtsq6rgPf2uVX9A9HpN/dGtZ3w3HWf2QkPrHM979rPoEFOAL+BSEJpQGYCdCASoX03sFEgJtg6+NHToz+A+gHgJpBO20O5/7GNmuiALiC5SnTAFuAdiA44J2jnyiNPjf30L63bAU8ALoAxIBiQjfJasG1Y7zyt2FfVPNeyXQAOKNfaXXiuVbztc09rqXud6u1UnbOPUCmd6nNhayq9l2qwO/5AeZ6ddzSUsh9+aAC6oaKdlLP0awmgJzznPWrlbj/3XXbjuD99o0/kAPcD+KXS3G1hsfB7KLmLzTrrAMtNdu2TWltAnmpr2wJG2g7HhNvC9FpXPC3SnZgg8BWub6oJPvVdNXXCeJ5DeGw/7Z+R5+YzWJPddrU61w5dO/KqUq8W8I6n7WZ/BPOpcB9K8fI+UrkvNLY99wnkVaV7fiqyVbWn1byqc9vRYcJa68SwaJ/U4yrQnQzgsQHGheVcEwp0JxTM5/E9c+uGw4UTAGYL+EnJLjDnOEsU6JwP4B/10EOBriU7zzTU6RPgJvgcCdD5LKWinM+cNdNV/Scsz7YToFd1elq7C9Ev+9VDdwDRL73iTS/r/2v03zH9d0znQOdA58BLAZ4LzrOOeAYwWJC+bnFcFQumbXsqz/P/0v5vOuG5luuCcVXlbAPCrWfuOQJywblQXfW58JxgvNK6vX9fWH+udxzY82Ow5wegPwRb/wPdH4abfhBOEF0lelpvqyDeCUBPeF5hvOv8MBOit/p4vXb+OAIsWbknGJ/rna8A51r2L5UAqLlg3XUmayyp0Puz2z/AOgc6BzoHXrzvfuE51u0VnrNUQS4wT0V5KtPZVg2e9umpLE41uEDafQLotHZXCWy7HAM61nrieZ3AedTlnoC26mNBvLBdBbNKddsFfAJes+/em3ZUcKsiZ124q5JcIG7Nb9vVztt65e4DrAqxVYoDeQX/gOi0gQdisu14ci9gq7W8Be5OOrAv8xhMSm1V9tzLdhxHobkAmWOcoyU7x4XnHGepQl3rc++tOl0rdRXpqtKBxdY9dwxTqW/9dN9R1kdPNwDDCRLaxbOuU4CTILSEB0zTdy3fOYajgrXSuY5rAOujpvrDz825AOjmWWnXZ+AcJxCY475nYT73NMe1uQfGOxGBtoTz1nn3XTmRQwv5tHLnM0tuoN6k9i8BfE6ADojVonyGwdfcO6s+AV6oyrFr57ncB7hC3c4+lOass4/jl9/2+AzXsHYHlgvQGSOO333y6QHPCa5N9Tn923fZjTNQFprPCvGpFrjK8WrdznpVn6cqXfU112rdzjb3sNa68DyhOOekBbqAV7gqKAbADaXxpPYGVmcN8rRb1yKeJc8L7OP5hHG4BwD7gOc8r/DcEMjnJAHuR/A8Kslpj/aBtwJx9uc65whrrf8saBVWC2mF5ALguZ55sTwXCgvPU3GdVunC9GqfLuTOmuW0lbbtCa2znreqaM8TNGefBfQc41w+A6mI9/qcNJDqdNXg3s9r07K91mpnrLMuOufweanne45jnYp2IsdpwN7bHpqvUzENyFWN7/tkv2p09zkuKsC9B5/nhNgjprrkfsaHbftUE50l57D0HJfsV5U+LOGnbe4nBLdeOs9ifziH7yD20Q59Ypvr+c4hVKZzjfXM/Tya13yWDD5TfM5zsoo5ar4KzzkuXM867cLzCtQtvVCV6A3R+++X/vulc6BzoHPgYs8BQXSF5/zPmP/fwgwSOAOXAcPrrOe9ZN2eqnMhuopzXVEJ/i/N8yzBc56NYB0QrqrccFtQLix3P+tL6nPFY60+X3++dxzY82Ow5wegPwQ7/6HIDxi+yM/+9qHzQHRnZQnQjU0QvdZAn6Kqz1cB9CWI3j9A1vNLRlq5r1ShT+/b91uXVYFenQfSwj1/Ycla6OZB/xLRP8D6+7tzoHPgxfnOz7rnwvNV6nNBuYryauGOGhXwp/pcoF2tubVDH0rtSY2cIHRA00ndrNJa+EtwnPZU9uaxrAsuhBVI25+0lvcc+qgtuH0UcGrzPgD6ZK0uhFblrepZa/KE+DxHnu/1qptViaeNu4pt4ClLxndMCJjsxekP+9KK3vWsta1VOG2o7Kdtnh0AqhW+IFx7d6G393ZMrJEuAHeiA+9dq3tgsgp1xlA1uhbw9IP9nCdkRv3NuiB8VrqHXb7vxwkTddJEToRwYoQuBuQYY2SNda3cBdD0ifasNU6fGUfrnjOWwGxrnPtuRo3vj/7BUGlbc33Yrt99ejwf92A/nyeBuzCd53UCCNvj/nc9PdTatMn7SKA+xnXKKSdr6JSQEH0o0D/5R8NOHQB73Q2/NgDxVgAdGAbcAv6g8gSc8wyoxt957Nnz7zh6etRBB4IBlZhAgEKd4FyWfP5ZB5QD1Ybi/PBTQ50O+AKeazN//xNnBjwHOgGIgcdA7gGzJ3g+b1998ziH5zDYXqp9Lqy2pvm+ya5ci3bWOU+LdKCmAJu2GI+sAZ5KbYGqUDmhZqqKtUwH4gm3E6Rbmzxh+nAKmCA+EwoAfTwj7+p1r3zF+Vf99E/OtdrTil1oDvwTkgMDVYir6OW4SnPBqucLU4XVPIsgc65JHmBbaCwMT/gt2LbttA1Xxa2dO8BU6Jz1yucJCpM6O1Xw9N2xFZQmfK4K6wSpKsCd+CB0TnW90FpQ7X774ngKzIWu+WyC7ATsTi7QpjzV+ILsrGfuZIEBp8PyPc8X9Hu+kfCcUEXt8VTNq5bXPUIYzft/z72fnuuiqzIHXmvFTn90raCfHBvK7yl3LNmgHbuq8wHnJyCvhbuQPK8BridA5zy+m2yD4NiwnP/wQ7MifLgETIp7xoHvQIJxwPGC7wI/B2kB7xgJzx03wvYJgXoF6FkLfSuI3n/T9t8z/fdM50DnQOfAxeZUJyfQrp3/14544sgMm+EGWQu8guHvdd/TYZX/bVflufDc8P/RPo81zwXhwnMYySp4niF4F6I/dvCNY1vlOW0kQLfky7rfeUePwf4egwbonQQ7+wHJD0dmijlLix+ASxAddXHWMr+gBrbq8y0U6EbC1Ibo6/3CXmXl/kJs3Bdro3/1mcV3r7sB9/EXllSha+nf/3DoH+T9Hd450Dnw4kycA56ndbtgfAmiC8NTdU4A8LC8BlS6TxWwiuEEmgJltoGAwvWE5YBVIbqAXUg6VMWTOlvgq9JXgE6fPFe4nMrlVKb7bCq/Z2v1k+c2QXmV0Fq2W49cIK99t1bktCFAd2KB4JZ7o3LWMn3Uyj55bkPh/Mk/GoCVdcCltcy1805rcFXhQm7twYHUKsDTQl1FtVbw1kbnfI6zLQznPr4ba3nbnip6nkmrdt0CtBpHCa2CfCjuTzy3Sbk/LN+PPTv3zRC4Zy11reiF54S5JgA3r8wDx0Rlf1r2C99V6aeDgJDa8Uv1udb2bAOIr7rz1Kxa51xg+rvve3aT/bqAnHOsW++EAO7H+1Ztr4qfa4HpjBFAnbGjfT9Dcx31KVKFPiZXTBbugFgAEqA27du1/BYUArgAQ4AqgDn35dkA4bxPJ8nQj2F1fPNDQ10OyNLOne8AQotl4DnXA9Xt3+EHzoy+oQgFZgmGgcdss7QOutvargvQAcoqsIXogHFrunMu1wGX900qc0A5z8u5o7741TcPqKp6lLHheNqya8cuSM9a3BVoqhr2GEsV7IJu1jPSHp4+Cvt4xktf8+rxHKjlCfqrmjztvBOAp/26IQQEGHpcED3D3am/wH8Apapgnqs+kwB21P0++OAm0Ey7PmuC4Bwf2xTiptI7x1ZoLeBmkofXW29dtfaY8DABfCcFpHrbyQSputaiPJ9fKO24bFLXo55+/+9sqm8ufBXcCsBVtjMenGPbAttauz0nGagEd1y0SxdAZw1z+0u/HM90RRCg8z7zPtrcq4If0HqyU7d/w9Z9Up9zDp9h7wMwN+ybCvJsVyg+1zCfQlt276m6XQjvdXleAvRRb/2up+f2zGs+p04qcKKDrgxAcL9z8vORtc7ptzXUhePCciF5rYWedvBLEP3qD3ziK0D0S65+73X9z/H+O6b/jukc6BzoHLiYcqDCc0VWBP/HJRI4C8+1OFeF/r0UxiX0r9btFZ5r3a4KXTW9z6I9O8Bb5bnW7QnPP3HNvxjLY2/8ubF88IZLZ7t2rhWesxSgL9U/b4C+/pzv6DEgBzoROhFe8A8bvswTomc9dMAoAJ0fNlq6Z63rrVTIq0B6QvSEp+usm7LXYvGXjc+fuKCO+SZ4Hkr0pViqe29tGX/x8hcZATq10NPKvd0I1p8bHT0GnQMvve/6reqep3W7YV1pYfAMnidlNIDP46rM03KbbaGiKvG03qZN2gJQAgUFw0JCYXbWyBaIer3HvVa4mrXIVWFnnfSsVe05qUoX+AuNhcDCcJXk1vcW6A94/OiXx7ik2plzAczarqsYT9t0IfKs7p4U2Nqf02/V+lrDZx11lfDCXQGxinXt3p0MQJuAX58/LcidFOFzj3cy1e9m3WcVrHtvjtEO7XpMNbzqau4hmBYYq97XEl4L+HwuFefuU+WfddBT+e8kDMch1ejWN9cKf9i3T/f2HGAwfbZmPP0EcgPTgc6AcGCztd1p0+vZRvWvMl17eNXo5jDrjEFCeiZasI9jfg4E/r4TLNGzDjoKUmEsAFb1eSrPAYsCwFFv+MhTA0wRPCfPgrqcZ6PfwHFyFrjFswDOAeKso0pnnSXXokZHQYqSHaCuOl7IJNQHaKuoBn4DywXrHEctDySn/0Blnkf1+ZJtO3A8wbQAzTa1hgeeUR9ZqGZNeEG5imigXKqjZ2X0BNBTkZvw9/+z90Y/d2Xnfd6/0LsWuWqKGL4t4qKZAEV7YUAyDBpIpGYQt4E8KCw1rQ07xtisJrLGY00mg6FEkIIocFKKdmZGlBnFVsYgmHYoj40QYMcGI1tAFCBAkAur/4GNJnej4nnPetb8vsV9vu/jDMlDDt+LhbPP3muvtfba6+zzfed5f7/3mQGkVbMXjB05x1PhTsmc44JyCuMTkKt2Vg2f+zKHtG2tFuoCVGG6Odt5n+P2+gS6Cc8TpnMccEpxvrwGr9N5W1XeaU++5j9PO/Q1R3qCZ7bpu8YzrOMz13iqxAWr7nc7lehpG5/OAt5rc56z9s3fLtAWVrOdfTnfCbRVtxv04D5zhtOHdSj2IbD3fgvCKQJoFf8GCcwxj/0GP2Twgdek2t1try+t2wuQv/DWvO/eIwJp/AyoOC/Q/cJbU1XutalkF5ATgCNkZ64E5NQBmNue9QT49Kk1/JrLnn5oizVedu0vfnmmRsABgn1p227gA3Bc63YcMgDpq3X7VvG4zzafqVv50IXo/bvG4f8O7tJz0Gug10CvgdPlPE94zm+2/H4rdOb3W9Xa+wD6oxJE0cea95zflNO2fZ/6fIXnXINW6wnP0479uLIC9ATnFkA8EN0c6P2bdz+T+pl05rGYg4MPoMuTMQd+6fBFSSSUVu58iWQ+9LTf9ks0jyVIT3ieavOtYlTYFkQ/9Nw8LcX7n38oJQQ/Tn2+VdYc6CrP848YgTqFdbalQu8/KA6/Nrr0HPQa+HjlPT8Onq8AXfW5QNzjBZav3q6yqoIzD7rnlAJ5QFTVwgJi2tOmOm3WtSBXPZ4q8sx7Ttv2JcBXRS14VMXu2AXpFFS2wle2BejUpx8gqCp0wCjAVMWySm7eA4uF5lq/04Zq8bJ5H2BclTrnp316KfEjTzl9CciFp4JyAa3qdeZLeKxNvqrtsm6//v3dGAeQVvmt6trrELo7h4J/x6TiXmU1wBWorIuA6nQBufb2Am/vu1Db4AkdCGosV+5Me3cgMgXAy3HbcHvN755zYH5176VqdteF85r26LojWB8YXDbtl9+reWZ8vAfm4BTA9Wv1XiD63I2qw1ynEt3gA5XdBpWwXYECw6aeawWiF9zHUp02R10V7X6GGA/nc3+xKk57dMB5qs8z9zkQCnUp10BfFAMbGJ/3lXHxynVSgOdYsQPNE6ID2XkVqAPSgfvkPac+UMm855mbHLAFAHfMwG6szL/9z75VhW3gOZbmwnPV6gnPgeGZsxyADqznOO3SNwDdcVBU5DMnFM5TuaziW3AssEx4Tr731V47ga/bHEuLdcGvKurM5+0r9W0XqKgtuCC03AACrKqAFqhXXvaAvcDIVbGe0DwV7YJcrbqF3IJu4XHmJneetLpPVflqg5+wfJ0zgw4E7znmhPoJylXoG5xgLna204qd+qqt3ZdBEb6qcPYcIXcC/MyB7n1J+C7sznZXlb2A2/uF2tr2ckzCXNdA2sonKHefQQU6BmjVnmMqOP7CLo+5ucxxjkiQzTNCBbzq93wPCBegVztjfwVhDDguhBesV18vvjEhudbtts8zicAb7lNd97CB99on8B/XyfVlQArnsm3u87Jmf/HL9Vzh2WhaA+G5Vu2A+syBrkK91OjDMt4iiCfQhbZyP2txH0THyr0h+uH/Fu7Sc9BroNdAr4HjfyvYgueqttPyHOgMDE54fgiAnmlp13Gv4DxZhrnRE55jsS74XtXnCcpVnfuKGl0F+hY4z30q0Bug97Oon0VnHqs5OPgAujx5X5h82QnR+bJAhb4F0dnPlw2F4wLR+1WeJ0TXyl0Fsl+6HbH96O5//uFRwPsPd38waeG/lQt9tXHfyn++BdATnvsHDOtqhegdSHH450OXnoNeA0/mGvA7dAueUwBlwnMBc8LyhOcJ1gHvnGtubPZpi70WczULUFN5LgwVZmpvrRpau21Vx54vEF3rmCsdqDjB6oDsqskFwZkX3f6B0AJf4XEpwgfcdLyCVq7f/Oa8mtNcsFtq7Ku3qw3zgas4B84WnB/qbmEyMJPjaRmvlbvKffsG2gr1VY1TtJl3nKXyf/PPCurmvAir01pcG3vny/kF6AJT07I+Lde1SM/86Vrm0xd1va9auhtooCKdOir6tfIvdfiA5/TBOLgO5ohX84Sbd92+nCuv1/UpZDcQQ6cD3gvUfa9bAPeEVy326RcVOq+8r+MXbtVYDEoQ8Nsn24Bm55tzGDOfJfoR4BuUojOAynTmJJ0DVPRzLmNR/Qwop6RtO6BaeC4IKyv6kXOdsRMEQV817uEmwLxpP8820Kzs97+xy4HOtbjWgOnce+r/yqV3Sn0OQAfsA6KAS0BtAbj260BuIHmCc8utP/hulX/0yiulptfWndfMgw4cF6ALqVF1q0anb3OfA9cYD3OjfXvNS+Q8F3wLWFNFW7bWWFy/8NYRoJnAWGAqsAQSajO+2nGrONbGW/tqIbf73BacZg5s7qfKZ62s175W1e4KcQXzHk81uPNjzm4AYeYMX23uXWda2qcte9qY5/le2xp8kNeZOdcF5QYaWNd91st87tPefYHmaS2vSts5EaKnjXuq1J1ni1bxAuuc/wnSh708kDjV07bl/czc89QV/pfV+shdntBc5wGgb+Y7N/hDoM059MGatlQ+9N/8ndrP5zxV4wJyjpnLfHUk8DiQ23MnYA+AzjYuFfZhEbwD11Wwcx3eO9t3PnMt1+f+f//aVKADt1WW83nneaF1u+Dbzwn1AOjUVZG+5jwXqKs+F5rTVsL1VKSnlXtD9MP/Ldyl56DXQK+BXgPHrwF/C+Y32H3wnFft2wXOwmfYAXCY33EfBUDP3zi24HmWFZxvWbdzDULuhOco0gXnl37qJ95fIbpW7vvU52z7nrbawr2fRf0sOvNYzsHBB9Dlyc2HLkRPK3chOopyvnRQqfuFw6sQfS2AV1XoK4hf7b3XfOht5/7o7v2WlfvqMLBl17+VA32ffXsW1pSW7kYGrhC9rdwP/1zo0nPQa+DJXQP+Y2ne84LnG+rzVJcnOF+V54J0IBnnq2ZmX9qfp+V2qtIFqlrBC9KnVXpYdAs8U/Xu+cJOAWXmOnd8QEfBNefOPOoDoK4KdcE47Zq/nbpAUxXKmR9dZTbgUXWw6nQV76mQBz5nfmzV1tN6HYh+5c4E1fYPlNRiXEht/nDgrUphVfsCcMG21vBCaYMAvLZSdw84L/yvfNoj2MBrEt7SP/Wnrfm1u9PCnPfa0jNHXpuw11zq1jGYQGDrWmGs7DcIgXME5l4f76kn9GXuuBfaxLNNHft3rcz3w5Je9wHV8tqwp4tBQeah9qd/8p2zL3Okq8KnHgVYrmX5BG0AACAASURBVO1+rkWBO+0Av4X4Qnes21X4cx3mR+dcAw0MLqjAjsvv7hwOLr9binIgoKrqVP9OkIXC9NW3C2IB68nfjrrcteDcq5Tns+QzgH3UAaDz+Qeio5JnLMwJY+Qc6mrfDsACKJnbHJivBTsAHYU48BxQDjQHlv/2pfOzCNJRkqKoF76nkt0iRNcOnTr0R2EeBOj0CUDXql1rc+EtubcFqAkIVZ9rU+3+tABPYJqAVqCqDXbaw6cSt+DdUIwnyE2g7zm2KwTPbVXoqr0zd3rCeXN2U39Vh3ueMNuc51rCp0Kd9wnSXXcezwAFx5IAXRAsYPZYWqGvduyrIj33O3bmKNXrGeyQCn3BOdeRiu5UsXuPzeeeUN5+DWLwGm3XPN1pty7EnbbqA76zvrxPa+oAAzLMI+45Xiv7K6f4yFXvusvPf9qzl5J8bAvGeTaY/7zmZtioOw7ap85MJTCAt8Eg5kenFHR/8Y2q7+cHuM57Xq3nc4n+qMdx6gLk/cy4vbo8uL6E6QTP8DxIC3fznwvNhd5cC7btqs8pgnOOqURfc6CvBQX6avOeEP3Xvvb2F7ByR4newoDD/23cpeeg10CvgV4DH6yB1QJdCK1ymzSuq/pc5bnwHDYAHIYj+Bvu46KYXyE6vzn7u/Nx8Jz3+1Tn+9Tn+6zbLak+f1Qq/S49B70Gzpw4Bz1J/UH50F+ePND58uSLQyv3Ap5DkQwQ50uHL0q/eChpz31c8UvY19XKvSH64SD6kcjDCJxIiL5p6x727itE31KfbwVT+AeN+dAZR0P0/sLvZ3mvgV4DH24NnATPV8v2tHFPiO57ATVw8eK1W9P6W9CoHbYAVVhJHcG4x2hPe3Mt3bVgF6oL4hOqC+aF76qNtXG3CHzNGe457HNsAn/BrcBaVTr7BasJX1V00xaAWZjJeYxHO3rBr3CaMTF35kVX6U0bjkG7ey3jhesqm2kH8AqEFWAL5QXlAnIt1xmfwF5FPW05Vtv1HgjJVY1PG/crdyZsTwW8kF5Vd6r80w4+HQac+wTrlC1nAs73OPNJW8JmxsF1MQ/mFldZb276suK/cKtU17xqD+95BkmkjX4q2DPHubbyQm626RcQzXwIyA18ELAzHq6L98D3ciMYavOai6u3ax91hfXmQPfauGaAuvnhdVtgDgH4P3/+ZlnIZ85i8wcDxLAdB0yZ4xzozVpizrlG+jHnuapz1qpOFQanYNXONq+cx1xxL7gGxoPjBAAdG3cAFuBatTggXQAOQEd9LjxPcE4BrCdER32eNu7PPPv8zHWufbv7hGio3jkuaAR2mWtdG3BBLXWA5xSV+hbto4V4BQJffXsqxoWgQnLBOW2zP23IE1AnzC24N2AuAK6suF9460j+c2Gy4JG67Fc5q/U5770mc4SnSls1dIJpwWTmCU/FuPO15iVPIC6AJ4CD95k6IJXpgui0cPcepkW8Y0xgah8Cc0Gu22sQgJbmzKXXkIr+suoeCm+V3BSh8QyEGFBaK3eV6Zlb3XMNgEhVv8Ce94Js1eaZrz2ht+dlYZ/AW3W5oJ3rKIA+6rLf9SwgN++5a1dXhRkUEnbrAOVSiwfcp56258LvI5D+hbcmWJ/27qM90x9QeE87jLfW6lCg0x/X52dN1fv6uco1AkBn7QDLeW7wDODzwPOH50Bat5vD3GIudgow3TzoXHsC8QToW+rztRD0kxD9U5/9/C8B0Ts9Wf9P0//T9BroNdBr4HFZA1sgOiF0qs8F6LAB1Odp3V7utVdf/XcA9IftIrqV9xyGwNgSlq+vXkMC9LyGBOhsqy4XllvcLzwHmp9k3858pfqcvwfaafXw679Lz8Enxxz0YujF8JG+jIDo5kNPK/eMRAN0fliIvtfK/ffOHcmHnnbufU8f/R9QCdHTnv0eJXrkRj+NffvW/fePGi39cw087CjGLj0HvQZ6DXwcv8v35T3ndQuQp/I8rdsTqAPGUK3yw7z5q4GhQkUV2LTHMUE2QE61uLmyhdNalifsLkX0yCVujnUhLMeBeUJeAbvnCcnN683YVht5xywAp66KW/sUrKqQ57jXS31hrQAdGO455r9OK2+umXECGpk7tkvNPwIDpo38UKTbDm0CZulf9Xkq4p0b+0ylujnCuVbt09nPNTomr4f2DRZQQT7zgQ9gvAJojnPdBj14PwTgBlHQR1n/j1zeBkdwnP2q6Nk2H71t59xTVGczHiE44NegDsYO3EW17lhThV/q8Au3ZhteC9vMu1bmmZ+c++V+55zj5nFXoU6bOg4YnMA2fTAWIHXmVud89nHcdtgGyte1D5U/5wLfvQ7mw6AN5ovrpx1ykAOhgOTmOvdazcNuGgHng/kyuINXA1Nof4XoXDfzKkxXwQ6Qx8pd9bkWysBs85WzrYrcnOfAcYF5WrizDwt4XqnDcVXotgEos6AoV4EK4GKf+c9V8zImIDxgV7gqIFYRzH6ebQnPVeESgCDUY1vgLbCkrsBVGApgE0wL0wXOgmzh/nQJGHBUgJuqZ0GlbWkJrsJZgJ7Kcu3tE5qnqnpVmjtfmft8zZPuuDKPu6ptS+ZFT7t35tc2bE+b91SgJ6zXScFrFHpyD1TxJ2zPYIXMUZ7KcO25PVcXgLQod15UQhtckRBfgFy5vAdAd36E25yjXb31bT/7sV3bED4LkO0zFei2B7gFSptj3Dziqsytx3NByE3QDeekrTrruHKRD1BvXW3VGZP1Ux0uYD+Ss3yA9LJ2f/XtaRXvOqfvVa1OHSA7+wDsv/r1m7trHbbwW2kBdN740te/Xc8APgMq0P2MpMqcdgXoXJdwneO8V3WuYj1B+nHwXNCuCp3y6c994U+0cvdH8/5d4/B/K3fpOeg10GvgaV8D6UKqiluhm/A8hU4q0AHCgGYBNHnCzX/+sAPFtuA5Y1uhef62vOY+h1/AMSgZBCA8B4gnNMe+HZAONPeVonU7oByL9tW2fZ91O440h773XXoOeg2cmXPQk9EfiA/9JeqXklbuQvKEqX6h+sVjBJd27h8WpPultgVQ+5/Nh/+Q594L0Zl/IgnTfSAB+hZI37JwX9fDlvqcP9LyPP7A0Ymg86H3l3s/z3sN9Bq4/3+Gt/Kep/p8y6p9VXKnfbtAHYUp4AygW2B4AGRV6KrMhaNpsa5y3H3agqe6XGV12qGrTBaCJ6QVSGvHnVbtjgEoKQzmmGMQnAt3VTprG68tudbZqaQ297fbjll7cvtzvGybv1soy9iYY/Onm3ddtb7qa63LbV9lsqBb+K663OCDtHG3XS3V2VahzjmC0lUBznUzbqGq6nTm3G1gr+MD0NIf5zk2oC8wWEBrPnHOd7/Kd0Aw24zJfPaq1L13FFX4FXRw5c4E7RSt5zPAQ2ty69AW42KfubztV7AteDdwwOABr1PVuIB9qtiXteq1mr9clbl53A3yoA335VgrCGGo/rlu6gi4/dwyfuaOPlCEc09oh23ujcBfO3nXhmve4nHXCO2rRrcv2uVZYjAN55H7nH3kPv/t3/vuBEnPfu5sqcApqNG1c2e/6nIgOWp0FedbVu60+Vf/5t8+YtueOc6BZKitgee0j60yAM1c5wAyjqE+B8YKbjOXtCpvIXpB1pd/d0JAACBgr+Dfb+4AnCritMlOS3dhqP2oIk64ytgK7v+9V6YFdrYleBXKCvQF8QYAAPRUpaeCPGFjXqf23wJJgbyqdWG286MyPSH5qlA3n7dtbVluC4wF5glEU12sXf3an4p95ygt77cgd0J07iP9ce9Up5tnPsdpXu5Uq1s/Qbf7HavzkQEGwnODJbaCLjJtgNbyqZC2fQM9fHU+HI85vQtYv/jGBNkqywXgtR6/+EE91jV9ap/uGhOWax+v+wH7dLZwrs2tzmff60slOvWr/dHukZzpY60L6tnHcV5VpnOcV4NFcn1TdDzgeVAq8he/XM8CnhF89gXnadMuME9VunnQdXdY7dszJ7qK9no9e+6I3XuC9K186P13bf9v02ug10CvgV4Dh1wDOpAqnlp/n00VuupzRHMCdAuAGGvyhy188jeO/K1asJ85zhOgyxdmutAh/kt4rvp8hefA8lSgC85X6/ZVdW4Rqmvd3urz/rz3M//MYzkHBx9Al4+HEtkvJr5gVKHXF9Ef7grb5j2hJEQ/Luf5lqX7lp17Q/RHf/+3ovr2Wbnvg+jmvT9tIEWq2/1jbcvOv4MoDv986NJz0Gvg8U7Fwfc38Hxatw94nuBcOL7Pqn3Ni57vX/mn3y2ABsQTWqs8XvOSZw7lzDuu2n2C7KE8F/oK87KeMFEY7bmr9XvmDNfmXVgq5BSya3POuITwXifblYN6qKe18mYMjod2BNcqxQXQ7kt1t2BSlbjwXctvbd6dV8Yi7PU8+tQ6W8DunAnHa0wDmjIXwGygsvNpwAL7tBFXHV7l8s6S22vifFXz2r+rqtcK3pzu5k+nvhb37Gdb8K4innOAvuadF5Kr3Bes1zxcuzsDCdJmXneAVN/bjnOiely1PfPgvUW1LUh23rWtN3CCuTAowWvO/O0qulXGm7vcNlTNY7VOvel8EEEOzAPj1N6degaTGFDhcZXw2ub72bHQj4EBR8Z67W6955jHTRGgjTt9q8S3DveO+eXeeV+xggegkxMdSI8CHfU5BXAFTMJCnaL6nKLtOsA8AbpKcwE6JRXpFPKXm+v8mQHQAbC8UoBbQC/BOn1xHLgGyOIYAF2YDAhT/aoSW9V5gceRs1nr6VTaAgMFhKqChaUqrLVhT9gtPE4bd8AkxxOyCnxVXq85ytPmO23ogd9ec0LctEcXOHuu1u6ZD161uTnKtyzds3Au4JI5ZQwC8cxj7jypbk8F8WrV7rmZ13xaoIcS2fuWOczTsj6V9kJe9hlskIEOguiE94JkrksA73hs26AI7c61iU/XgHQPoGhVXtbmKMQH0M9c54Jl55/xaMEvXDcgwXVVyvOXrs42hOSMG2BMv4Ju1ybbBoa45lnfrPeC5eduHFGSa9NOW//g4i6oRNcGzqUf6nFfqt0A6JzDca5VKE5dHR0qMGXkZzdPOgDdNr0X2u3zynWaAoDnDetPC3ecKlyXgvFUmatEF4Rbz2AIVea88lxj/nOfkHxVpWdedJXoaeXe+dAP/zdzl56DXgO9Bp72NZDuo6rP03HW7bRvT4Duq+rqh/l77eqWKjynCM59zW3rMHY4hXnPVdAn/AaKr9btme98S3me+dMF8IBzj22pz/s37cOv/S49B5+MOegF0QvigXxBCVH5gkord76Mypr7D3dfSgnRzZt+WoC+r1Quk4boB/9jKq3cU4meMD0V6ak+34Lk+8D52gZ/tK0QvZ0I+ouun+29BnoNHP+9fQSeh3W7oDyh9hZA37Jv9z0gD6Up+aRVdau6FWoncFfxnHBe8O2r24Jn+7c9FfACdaF5KtApAntApcA087SrnlYR7bZtCvYdl2rkVSGf+dgFrqqfhbaO3ZzijhcgKVgVmArCBa1CamEl86zCm3FxnqBYQEs9c43TjzCbbdpSzew4zF+uqtn7luDYeyGodptzqowABIDrDCoYkJtxAKZpSwiuCl4Arrpdm3fHm4EFwumC7te/X9dBuwRvlNJ9qLez77oPY3z07XyYs5ux0Z7A2zz1BkKo5me/a8vABNXsvhp4wThSge76cg1SnzFTBOjCcXOOe81cf6naL7870xxo6a7dPWNhnznRAdhauwO/eV+52sO6nTlhH3CdOWQfxxiLtvMcZ4xYxdtWOUxcu1trnOJao74289jF84wBnqMUN/e5ynOgN6/mJ0d9DiAHmAvNhen5Pq3c2Q+UMtfxM88+P5XnAuNSjGIz/dxLpUaljqrp/+Nr/6LyqJN7XQU6oAwglwraVOt6THCn2la4DuTT+tuipbUwUyCZqmr7E7wmhJ126F/cKdJR1E6I/NxLE7AmjF7zkpsX2vfmJLdubqcSfQXZqVxXeS40BlwK3NnmXlgvc5EL6m1PEL+q162bYH21NTdIQBW0+eBTgc4acC69JmFo5hjXAl3Vuvs8NwMZ8t4mPM9AiPV60zFAC3jV/DoMOAYAsUEWtmPghvdGNTyAlmOq0hPMa4PudQjQXbfmSBfOa30/1eZDEe+atc5WPnOV4uQM9zjXXPnNI2+5xZzrAmsKnx/vRynnL749Awsck7nTCdTRhl4Le+61NutsA8t5VgC6zUNO+gjXmbb2zKEgXcV4pkDQ1l+lOfV5nvH80elBGO9xgb7Q3Dzp+1Tonf+0/5fp/2V6DfQa6DVw6DWwZd9+XO5zADTQORXoAuKHad+e8Dz5hHBcaK4YzyI4T+U5RXjOdQi/Ad6Z31z1uSXhedq0Ow+2lQr0FZ4/7PzwXXoOeg2c+VBz0BPXH56P/CW1KpG1avdLSgU6X6zs8wuELyVV6Gn3virN90HVtP4+DqJ35NajyYejCj0t/Lcg+lqOq7PmSk8lu/tXJXpbufcfBP1c7zXQa+D4fyx5bgPPt/KeC88F5pnz/Ljc56k+53zaA5wB2ThmTm1B5kntUYTFwkj3JQynrbR+T8V6AuwE3rV/KHNLyXzlTkFVxyXMTPgssNUu3j6BhNQXrqaiebUUpy7zYb5woXDaZJtvHGC9Bh3kuASv5JMW2rLPHOZCeZX2CeqdIxXg0/5dS/Frdye4BXxyPuO2DYG798VtQbttmDOccxhr5k93zgSzBZiHHb0BAdruOyeOlf7ZdhwcV8VuoIHqbu3htd/n2oHR7KMPADT7vZdYjXPt9jFzmI8AC+3snR/XnIEUKrcNtDDYwJzh9Ot9pb4W/86VAQOepyKc68v17By7llTjC/FVnVP4HJrr3sAMbeaZJ63cVZ4DzdPCnbExVyrbKf/Tuf9rBqEI0JkvLeuZYz7LtAXswpHi1y/fqNQOAHRU6QJ0gBawG2iuSpyCklyFucBcBfoK0BOua8kOFAMKA8YEt6pOeRV2qTzVtpn855wv+BRkZg7rVOwKDYWSqn5V7QrlEmR6fr4XmAtwU7kswFbZnGpt1eMJu1V3CxK5xoTFacVe1uLPvXRPPnFV25nTXBAsbFapvtbXjl5FPdsCRN+XhXjYqdu3QQBez1bOcu4rYD7HLER3PLxazC2fCneV5eaOF66ntb731XY4rkV5jstztVpPi3jva+YCXy3VM6DANWdghc4HCaAdGyC64PXZ12eqAEE588tYnVvb4RWVt4Eg2rfTVt2bkYdcJTrv2Z4pCV7ejYNjQvQ6PrZrfyjotddXQe7nQqW5inXV6uarF5AL8H0tuD5U6BSgOvsobvsZ18Y+1eA8W8iBrgMGzwsCZoDZKsuZO7eB/2m57n7dCRgLfVEA9D5jVMBTPI/+6EeFekH6s+fuUaKvVu79W0b/X9P/1/Qa6DXQa+BQv/WnYCqtz1OBrgW66nPBs8A41ee0+TC+1/yNYx88Z4yZ8zxt2wXoq/rcaxCEA8ZXaJ4KdNTplNWeXeX5auEuPMe6HXhu4Fx/7/fnvZ/5Zx67OTj4ALo8+XOQkV5rPnS/nFSj74PoAlfhua/HgfPT2LnzBdog/eHe/wyg4I8U/vgQou9zF9gC5wnGV0i+5k1f3ydE9/63lfvhnw1deg56DTyeAW/74Plq3y6cXt+7nYpxQSL7hKCCvLQDT6t2wbZ9AtdWgJ5W5YLDtNL2VWCeOdUzF7l9Wh9YKJAVinquYFPob7+0xX7HZk5pFddpCS/oNe+11u+8By4mzEyQTnscI4e19txel0prlcsqkhmXMBllMOeotBf+OhYhtWpuimBUdX8p4N/cHZt27VfuTBW2eewNGEjoP5XgAwYbrFCAdwBf+6Bf85sLpSu/+lCJGyjBNmpoYT3X73hV9guizWtOu4Bh7dsNWCi7+Yvv1Pyac107du3jDVSgHRX+ziHbQnvmxGAJgwgyL7hjylznqs251gpAwA59rCvaUiEu5GataQ+vTbvA3DWmWt31yLm6HbhGSq1+5c4E5s6z9vjUBaK77X0zt7vW8gRsMC62KVwrxzmPe1Rr5/K78xlQ9u7fuFnAHNWn9u1AK2AR0Bx4BTAFJqkWf+bZ56cCPS3cU5Fu3vMs3/vTPy0whgU7bajo1mZZu24A7JcvfaOKua6BZpTMfy7wTJhpyXzPwkMgGUrhUr8OwKdCF7An3FQdK9wUsqtozjzfjiPt2T2PusxZqsw9TzAOMMz84QnZq+3IQW5J1X5avFu0OM9c6Vqum2td1b1tpyKe46j9BcmOI8e4lT9d4Jzq7rQsF6Bn7nrfq8wXXBvk4LgyN/lUNasuf+GtuXa0A0/beM5jDVXe8lgn5vA2pzhFmGzQhKrr6Wow+jRwI5XdE56PPtw2p7iBGtq9C6MT6AuvDfgQTAvG2QZ0MyYV5IJ06n7i13e27SjBvabMWQ58T7eFXNcz0GTYvwvb+Wz86tdvVpvV7oD1tm9e91KGM/aR85z3BObQP6/arqv85lXluNBbpTjPH0A6zyI+8xVQs+Q4L+X6sHFPJTn9CNBVobMGKWnVznuAueeaPiCBvvDc17RyB6K3Cv3wfz936TnoNdBr4GlcA1tiKcG54rdUdG8BdO3JBcQPU32+wvPvvfWVI8rztazwPBXoCdCB4IBzFeeXfuon3k9wnsrzfTnPE6InPM+54fu+nVQPv+679Bx8cs8c9OLoxfHA1sBWPvRUogNV88vKLxEAOsdW2+/TKtAToqtE1867Qfqj+cNqvfcJ0U/Kab7mRn//3//xB2UB6Scp1BOidz70/uLr53uvgV4D98JzrNuPg+erRftWPvTc1jrdfOa8B6Rh3y64tq21Dc5RFQwIFKA7BuG3tuzmcU57dEGndYTjKs7zWAJ2wB/9qDA2l7aW27YthC8b8nFMC3EAIe0J3HnVbt1c6wL0ylk92lHFnRbkKuMZl5A423T87ANUc1zVtvnaBbSqt70e2ixgOtTPWpYLzx0PkFR1OO0wZvNw+yqQdtyCZ+Yclbr284JZ4GoB5xEsoPW54JhtQT3tcE/MH06hX9qkLdrhPW1yjQYRmANeS3X2cx2AYiAvdQgsENazzfm0q8Kae6Eq2/20AVTmPPpm3kpVPcC3FvGZJqDU4t+6PXPBp2OA4zegwMAD0wRo2c6YdQcwN7vBBplPPXOTcw2Mw/mstXflTl2vQF4bdUG5a4v+zGHP2Lku16JzYOAH16v7AfebcfziV29WbnMhP/Ou2wD1Oc5zBuj95z/8YW0D1YFFWLaT+xxgDWgC6pZa+tnnpwJ9zXsuLCc/ekJ0wfrf+OnPFJRXzaslOv3RPrCOY8Bz4BkQC0CG0hSIBkwDtgpagXcAQ/Obq9gF/pnPOhW3gj/PLZj58jen/XQBzaH85lzGB1hTnZ0QXGAsEBZoZ/5uAbgW6amI5n3mELduKrwpmROdcwkwWOuoUudeqeAWsmfOciF5WsWrTk84nHnahdarNbxzlKprgw24Nq200zLeeXRM2sGr1E4Av7oL+F4FeJ6bedQzJ3qq6j3ftVNq7gHiK1Bj2IurBJ+geFira9HuuKcyPtTnHF8dDXjPGuac1Q7dHOJprT4t2imvvl3w2ZzermvWq31rt852piawrwwIMJgkx2i/gvAcSzo4MC4AeVm8j3mzP1XpBgUAzYHugHTO4fOL04XAm8+7VvAqyAHfPFvSwp1nAG4VpI4wh71QfAXq5qAXkKdVu8Eame+c93y2rZcW7rzyzMuyBdHJh44Kve1c+3+a/p+m10CvgV4Dj2oNrLnEtW9P2/aE6Nq3J4DeUp8/bOv2FZ7vA+ingee+AtBXeL5l2w4UT+v21b491ecrPG/b9v5s9/P9zGM/BwcfQJePzxxsWbknRF9BOl9qfHmoQjd67TiQvlXS8t0vQyE649gC6W2L8nAj/lYVeoL0DIZIcP4f/+2do/B8A6Ifl09dFTol86G3Ev3wz4YuPQe9Bg7//Wze84TnFKHgSaA7rdzTrp2SOcrdh1IV0Kelu9Bb0J651lW2pwJ9K/+6QBFAKAjPkgp1YbpgM3OXCxodj1CSPqZqesDztG8XeAIYrac1ttb0QlMV75wjmBWgC7u1TVcxLVQXVqqwpk3V+Kq/BfKCT6G//ZjPnKIq25zUmeMekCzsRJkt6GVf5ccesFTFueNhfAYXmK8ciCrcBuhyrdmeAB4g6z7zlnPMgATreS3OhefwnnYF2MJu1dYGAKAyRw1t0IGAN3Ogm8e77PyHoly4zbxRl3MF+vQj4NbGPXPaMwbWvuvAXPUGQ1Tfw5a9AgfGGHQV4Hq8Rl0FvCbPY44ZW9nUX353rlfgEWPkXJ0KAOLMN+C8AhIu3JouB8Jz2tMm3oAB6rAmVK877syHzrzwSttY35v/nGugcD9pD9AFFEIdnvbtwCLt29lWsfkMyvFnny8QLiTfl/c87d1Llf573/3Rf/5j/22pridgHDAcSKzSVrUo0Ev1J2pUYD4A3RzZgktV5kJCrdpV71KElMJWoaj1UVxTAI+CY2HpqhBXIZ0QnTpcQ9ZP2/NUagufhdpp+U5dILjw2zZq34DaadcuNE/Ar4pcoG+7qZgXKjse2qENrj/rOk5Vytm/sNixr7ndU50vpK6ggqG29nyt4gXo5o93O8G3gFbVedq2J1xP+C0sNjgAcGtfwmdzmes8ABi2L89XPZ3ry3EBtBlPqrsF8bab8F6QnakGJgwf+xkDABr4XLboQx2etuxprS7QVpFuAWB7DZVH3bYilYHnO56Zw30EnmiHnrbuzrHbtkNf9Fmq84tv136u4YX/8536jAnN5+vL36zPN9t8tnlO8AziHPbzrCF4hmeQ90/lej0fAqC7LTh327XkGlShLkRP2/Z8r6274N3nEQD905/7wp+klXtD9P5/qv+f6jXQa6DXwKNaA/6++5fv/f7vbqnPt3KfC6AF6A879/kK+oHnJwH0ffCcAr9I9flq254AfVWdU7Rv17qdYjsU9qdtO4EF6HE9uwAAIABJREFU7TTTn+l+rp95Iubg4APo8vG2ctemnS8joSpfVgBVXvmC4guFL1uOpwXMcdDcvOn7lOgN0g937/3DJfOhb9m571Wd/78/2JXxvsD6AssToidgX/OhC9HbCufwz4cuPQe9Bg773Qw8x7o94flq276lME+78rV4vpbuQnUUpuaoFooLqW0rQfpWDnSOs72q0lVOazOt0lyLc/N+sx8AqCpYIK7ltlbXgkyhvCDW91p3C3Ar3/OA4irC2RbUa1VuUICwPpXmgmft1HkvBOd8+lAVr8pbQAvMFBoLcVV327/K5MwNrjLeuVHNr/qZ+6VSW2DveVlH1Th9MuZ5bdfulvOAynAt61Xse/3sF8hr8w5ANj+4c8I15rZqaVMD0D9AnHniWOXwvv79gsYq6wX9XBOgl/N4pY752gHKHNeSXSt+2uN6zCsvNC/F+DiHgAGhuPAYeG6f3hfaYZzs0yKeV9azsJ+xUOi3rv3q7ZljXAcA9tX6u7xTfhMgQC5y7iX9Mkb6oD1slunfnOwGLdCm+diB61wDY6Bt3mvxbu56Qb0BCPT78+dvVttcF/sYA9fMtmM3qKKu4/zNH128dusIPFd9Dqwm3zhgWAv3v/KJXywATi7yz/3s/3gElCcsT6DONs+dz/zyb7xPm5wvmDUfOMAKOKZqW9WzQAvwRp+o1zkGCFRtbs5lgV4qlFXFZq7stAYHFBaAfOnqtHGnXdoXdKtu1hZci3hV42nPvuY/38prrqqcttPSPXNtJ3DXeh1Q7v60ZHf+hOhCa4+nxbwW9KrDtVdXnT7vwbAadx69Jq/da2NeDRJYleUGSawq9lSr13UPWM75qTJ2/hP2Cki9D+s9P2KlPsbv2KdyOWB02sGruPYahcrOhXbx1nU+6AOAnuA885BP9Xdct4pxAzhS9a2FOuvQPN8EugCNhe20TR3aYLts3UebQnDV6irC/6vP/pParx08+wxGsC1hONfAcyrzmNdaGLnSVe97HudYX5gOPMfhol6/8s932yMVg7AbOJ0KdN/zymee5xGBPLxnLZhLXbW5EN7Pz2rnznufIemE4NqjnhA9AbpK9FSs5/vVyr0hev8f1f9H9RroNdBr4FGtgZNyn6/Kc63b1/znqbJ+0PBcAZ/8IdXnad++gnTfC81hEarPKakYP059LkBPeO72auFuHnXV58JzAwv6s92f7V4DZx77OTj4ALo8HRCdL1EhOiW/zPgy4biA/X4V6PuKX4wUvvSPU6Q/DCuZp1WFnhB9VaIT+MDrCr/vUZ8HQFeFvmn3LnwPsL5CdO913+fDr5EuPQe9Bh79c5ln33F5z3lNNbmQeoXlqswF4NZf1eu8V3kqQBduC7FT2S7M1V49oXqOy/cq2TOPt2p080zbj+p3wbUwm2NCRECgxwS+glxzWzsuobVAW4W5duvakgv2VaJreW7OcM4TeGuzLigHmFpPqE7Rppx+13YEsqnENsBARbVBBNrimw/d3N0GGxRcHuMQyANPgbOMR0W7inRz1LNP+Kx6OucCsAv8dZ6F3bTPuAX3XFPB6it35phpU+jNuYBbwG8psK/cqfXmPGhpznmCa85X5e28mtsb9XQp1d8caunRpiptrpO+OFb55K/cqX2AYlTXBlgI0LWI51p45RyBOvtUeNO2ucV1NcABgPcULfGB5ZxHXQE2c2qgAnXZ7xywz/sH6Gfba+IcYHflUL+8s1lnHphv5xN4rhOBQRfUN/DAnOfUq+u//G71Q9v0xTbXa+ADgA5lPNbtAHSs27FOLoX3Z36lIDrAWlgK/EWRDgBHFYqaPK3at5TovEfdjiX7f/Zf/LWCYbQF7AIOCoyFYdiTqz5V6Qy4A6AB3zku6BVeqmoVkAIEJ2gzR3SoizlPhbXnCXkzH7WANHNppzW38Dptx4XYAvZUobtPCJ7APMFz2qwDzQGfqtKFf2npLixPW/zMUS7czoCAVKoDPfO6OC6kBoZ6v/K4udaFreaF91rmOEfec+ZZBbvnCfR1CkiVuHMjGDfwQdietvwqt4XBOU6dBrRSV6kslJ/5wcc4eO95QuN0HnDNZV/UFWCn3buwfeZLHznYy+78patz3WQAiICa6wJIC7U5DmAWXKs653MiOKeOecith4LdY4L/gv0DmmPHriJ+pjgYYzdARat527Z958CgA/tRiY7iHHjOPPIZZSxcgykZzDtOEZ6jNNcBg1eeG3/1b/7teuZos097qTKnHS31vb8J0LWKN/jC54TAPAtjSPt2VejatwvSVaGnlbsqtf7dov+f6v+neg30Gug18LB/P9ASfVWfHwfQU31O0b6dth4GPAdAyx1MI5vq8yxbAF3VPOU06nPznqf6PMG5QD0t3AXxW/Acd5n+Tu/Pcj/PzzwRc3DwAXT5+FrF8iXJlwNfZkJyleYq0fkC44tLFboAnS/l//T/7MqaM5uy7j+iTv/De+1ZtHXfZ+3ecPXBghqt3BOiC883c58fB8/Dxv00xTUiRMdyqO/z4Z8LXXoOeg0c5vt4C56bdzxznq/wPCG320Lb1c49wTfAHCgPmFTtDIBTeU0bCcO1SNcKHji4KtG1d+e9NtmZ69kiPC9V9uhHFbhAWbvraXs9lNgq5oX5wnJgqbbrjlVbcVXawE6vTdit8t086KlWdoxcgzDbV8H6Cr+dL6GnAF91OHXcFvIaMCDQ1N5eNbjW8dp1p+Ld8Qn/AaMAXdoQSqtop33AMecIc1VO025awVOcc47zHoALxKYN6lcubmD0t25PC3jtxzkHIAu45Rz2leJ55AVXzV3Xcfndmc+7rMcv3JqgXwW1c+Ucqeh3ru2fMaoiZ344V1V7BSxcu1ttGETAPaIuY+Nc0wAYSEA94BUgGqjNWFGRUx+Arbqf45zL54k6pjwQfNfrsGfn2lSuA+oF44Bu5oq+eVVxrrtAWaxf+qM6hlqc/jlPy3bGyhiZP9qlHd57LZ965ca01GebuWFOGI+5ic19XgrXX7tSSnPgFRAdgA68ZR/wnPfPPPt82an/l//1T1YBogO6EqJnEZ6jIP+Zz35xgmJglFBVyAq0x8KZcamKBvKh2AagayU+VeYD1lUBjAYoLAX6gKXabwNt07qd4wJvQaqwVJidwFk4O3NdDwt6lc7mNdde3W3bSBjrtahgd15UfKuatR3V2GkLL7gXEtuf7aWNusBaVXXZuIfi2LppnW6+9qyT56difZ0362WQQQYwUA9Iaz5yIT3HuI/m4xbIs81amLnHz74+oa8AneO05T1dc6JTmFdt37VCF2zzeROSA38NONCZYG1T23TU1UBiobswXPic1u7mE3d+aMvrMCDAa3W/aQN8D4wWoAOfy5Z+sYDX3p33jDFt3Sm0D0x3/ahYV3lvXneeE6rQnR+BOcecP/phDvK6nzu3s3E3mMV5n/nLgdMvXZ1gmucDOdB5/mDfzrPjE3/nc/W50r2ANrhuc6mv9u2+55Uxa/kuePe4nzVV5UJzgz9YJwnSE6ivEL1V6P1/VP8f1Wug10CvgUedntPc56rPTZ/Ktjboad9O4bd9IXTmP39QY9uC5/QnPKesyvMVpmfO81U1r2Ic6C0437JuT/X5FkA333nCc0rD8/4c97P8zBM5BwcfQJePN0TnSw2IzheFEF0len6hGe2ljbsAnS9oX82B7XaC9PU1rdwTpleU3ALSU41uVHdHgX34e79CdP+oUom+5jE/AtGF5xsKdMpffu+7p4boqUT3PrfjwOGfDV16DnoNPPw14PfYVt7zFZ5v5RzfUp8nTBdsr5Bdy3UK0A74JuQtC+rrP5gAWoV42nwnuLcdwbtKdt4DF7VuVxGfkFx1M+1yTNArHNdSXFjN/lTEa/Wu+lZluWpyc2Z7TIAtFBaAc32OSxjOeJ2PCcjHeaqZp4p82LAzjwJxVfEqrj1fi3OgpXOm0rvAaljGU885AJoaPAAgNne3ecYdC6/0V7ntr92dsJz+zdutEl3wzCvtmttbdbjQWqt8ldSsmVKRj4AGoDAwHHhsPnX6NBihcqRf3UH2uvZv7aCwan9t1Olb6K0NOiDYc+nTNqnPeRxnDCq9aVslOVCbNgDNzlnlOL+4g9PeI9riugg8YH1xHlCbflV1VxDA5feqf86rcVx8Z6fAH+r7Uq1fuFWgiGsxuIH5pL3MbU5fgHnacc5pyzEzfoA777WmB3oL+//nV98uiM591AnAYABBO/Ccc1TR0zfn8F4Lep8zAC7mDvU5AB1wBRQCVpsDHeWn6mfs23/8J3+ubN05BhBHHfrMs8//6NnPnX0fkP6PXnnlfVTsvgK/gOco1qmnVXsqldkGrgECabvA2GvfqeMqbDlXNfyErCpvB5QDhhWce3mXP3rmtQaqD3tsAa4AXSiuWlhYjepb1bLnqCDmHEFpQuk1R7glIblgV5DuGASDCWyF0ZmzfM03bh1hrEBdS3fznAvnc8xCYPvIYAHHqRKcebZvzled7Pw5Bs+zrv3kXOQ4Peb1q6I3uCGV5NYx0EN1NEUluZA087inEl1YXcEIY13oZqAdOq+qls2RPvOdD1g87e1HrnL6YwzAYutnjnOBteNQsW6gAscM9DAIgHYZR6rs67wBp4HXvP7q129OIO+YzJPuZ6Hu17hWLeLpR8DMe9sFdvPq3Jcd+2vfnBDcsdkOYyKAgLYB+xOqD4eA+nvjte9MtwMdH4Tmqr+1UyeABnjOZ59nEs8QUw64XrV817KdYwm/XSsGzvh8yaAac6GbDz3Hkep4beWF5ltKdFTov/a1t7+glXv/VtH/T/X/U70Geg30GnjYqTn5LXWfffsWQE8FOlD7QQL0FGzJGRKep/r8NAB9SzEvQE/rdgvq84Tnq2V7gnRzoKtEZ1+qzzvveX92+/l95ombg4MPoMvHcw7WyDC+2BKiq0TPLzTzpQNaE6ILQxOku0+onuDcc/ySX0G6ZUuNLmBtkP5g86GvAP0eiG6u81WFniA9QLt50dPCfd2fED2DJRKi948Ph39WdOk56DXw8K3bV3iubfs+YJ4W7gnKheRb9VdFu7mtBcYAONW8gmTOFfxu5UNPBbrHBOTmHAca2rfKakF45khfAbpqba3jBelCfs9PW3CV07wXrgMYtWIX1gvuHb+qZY+bQ11ori2715VKcK2z2e/9s2+V6BSV7bSjTX3uc55VzQu5gaTOkfAeeAosNk95gnVV6SqkufaC6gYJDAW29t/OJVCVeQCmMm7ANECb42X/fXkXcMG297Gs7VFBn785+2dstG9ucfububevf7+2nR/GLrBmP2vSdpxbYLK27wYVcJw1yDYwGpjO+arMtVR3fXCMuuxjXuhH2/sKNLhyp44TDGAec17ZR11KKrqF2tqtA60ZB23mGhKgA5dUmAu3gdn2y7mCdObN4Av6BZo7RrYB9cwN27RR4P/STsHuMbZVolMAWMwZ95pzWKvMGW2Q9xwFOq9Cok8890IBckC6imogOgAbFTqQG5BO8T3KcQA6oBylOIX61EGt/syA54IwAJT5iNkGbgFPaQsoJbyrYxffLmWqCnRts7VsVpk981UPNaxQMPNPp8JcJbTHhbyqudec3Wkzbr20edfSu4DwUO9qf56q6ATiWr4bCCC0doyCZgMHgJRpza71uypwwX+CROccmGnOc68l87p7nbQ9gXGovVWbr3bqzlVa3Rt4kCproarjT/U6UFNAW1bdIye9qmUArCpqrkPFteM0oCHt4O3XeXXMjEOArmOBQNh1ZLvsF3ybn9w6jCNV+5lOQLgvMOcc2/FcxpxwvxTj525MgF71B3yfOdvHe9Xi1PFclevMmTnHheGcR12BN9DduQJ6C+Ar5/lXbx4JFjCgQPt3x3ck1zrPnte+Mz9zHuezy3PVHPG0bcAFa4DPt+uT5w2vqM/Z/+uXbxRA5zlSQT2ozAcQV0UuQBd+GzSiRb+pIgTomTtdSO651dbZc1NpLkBfc6EnPM986KjQ08q9/37u/6F6DfQa6DXQa+Bhq8+3rNtxF9W+fVVyrwAdHvBRAbq/bfD9B4DeguerUG+rbI1XtXmWtG5fwfmqPLe+oDzV55n3PNXn7YDbn9t+dp954ubg4APo8vGeAyG61ipGdW0p0YXoWrkDWxOaJzxHiez2WoToaS8jgM8v/y2QvuZG7zxjHy14wrw5WxDdQIcVgt9TttTo6+u+c//NH9S937rHfX8P/3zo0nPQa+DhrIF9ec9X5bmQei0rHNde3X0qnLN+bgP8AHPmkKYARivP82/t8nRrbS6kFTpn22kNn+85F3CuRbz5z1Vdq/7W9jzt2wX3gnJAonA87d05T5W1OcVVGmvpbm53Awg8Vyt62q+80CNwwJzi5iE3/7jzoU2+kNuc1/QrkOQYfVnH3NdV//oPZq7wtItnv0p12gPS1rVd/8FUjNs/Y6RN7okwX/junNOHMF5LccfDfvrwXMfNMSAzfbMWgKxAV5XkAN4KKBiKcWE29QDAnqO6G2hMPebWYATaNk85Yyzl+dgmVy51aQeFN+0An1FPe1/Ne87aFcarzBbE055QvGzhRxCC/Qj0bcNc6SrRhdjCfNrnVRCNehwAzj7qALu5Vl65T4Bsxska45poiwADroP+uTbO5b2Kc9pjW7t8xuDYzIvOudU3ls4XbtWcs5/zsMynb8DUVJwPJTrvVby7lijcc+49UAn1OQWAjuITUAUMR3EuXGIbgI4CPQE6r+xnH+85D1jOe84BvmsdXu2ObcCWMF0oDKDjmNbN7Ad8sU1B6U4pMPrcSxP+VV7ms1+dANX2hHtH4O2A2mkxvubJdls4LCAXlqc6HKhNPYG49RJMm7c57eDtk+tn/koRPvJIUwSEtC/Y1uZcKD+V6iMXuup0wftqO54KbGE/x1TWO0cC+bK4Hv3ZV6l3A2BOIB3zlzDeuXP8AmD3qVrn/QTl53dg12PT8nvYipddOqB9qIgFvdaZ+0ZRsZ37SyEdCmWPrddCXwYkAIkBrPQNcNaW3euiHbc57ni0waeo2ne9C62zXz6vaYu+wnyBdlq02w4Qm354FgCf+dwDyhkP12gAQsHlV9+e6536WtmX5XvMK2MqeD6geM0ngTxa51N3wHmOeS3OCa88FxkP264zg1UMpPA9zwmfFWVP/+KXK5inoPdI06A1u+sQMA7IFqYbQGDOewG6wN2gG9sSiptPPe3aLStM57jbmQs9rdw7ELz/j+r/o3oN9BroNfCgf0NY1efH5T1P63YKv+cLpVWfC4w/KldgXFvwXDv2LWAO6D9Jeb7Cc63bM9+5r2nTvqU8z/zngnXhOePuvOf9ee1n9pkndg4OPoAuT8+XsBBdJTpfXOuXHdtauZsPnZIgXXjOa5a0dReep9I5VezHQfTMjd5q5QefDx2Anvf1iJX7Fjy37MuLfhx8HwBdK/d9gRL9A8ThnxNdeg56DTzYyPF91u374PmqKk94nUp01cqrMjy3AXzmRQZ2qkBXXWw7wmRBsyA22/JVyJzqcC3UM0e5QNt9eY4W7IzB8avk5bwV4GtPbu5wVcqqyVHyC2y1SAfGJkDXTp46Xqew27FwPC3pqasdO9fHcedclbrW6pznHPOqXT3npJLbfVqAMw7O136d8QrJHSfbqXYW0KsUZ2zU4fjM2X7lzlTh0zZzVGD3t3aKceAu56JEV2mPgp26wF/ALm2xXkpVfv0HdY750umr7M0F/Nfu7uzTf+t7M1+3ednNk07/KBRV8rM2vVb6YT9jo33gMMCbPqlTwHmoxUs5/uaf1dgBR1wH4wVG0Q91C15zLwbIZjwF6i+/V2OgTWG2oJtXABQBAsAt95kPnfEApFWgc62Ac45zDkXVeSk1L783ITzjZRvYDXAX+nNN2sirhFe9DuyiL4MH6J/5ROnJ+BgD55hX3nulKwGvPG845+Vv3Cz1OQD94rVbBYMAVhTArMpOQHhCc3Ohs0093/OKel1wDog177jvVTgD09wPLGX8tIXilKAAQBsATStn1e6eI1BOOJZW3LTn+wK2A0aqCl5BubD9CAT2nKFonlbjI9+2YxDMCyRVVrttzm2vX+U57wWIQkuguYppoXwCTY47JgGk+c6F9qqufZ/jT8ifQQGppvd852mqyYcNvgB7AvIBWnP+EgrbZkHwqMvaSmCtrfgKlelT9bBzxXtVxhOGD3g684+rGA9FdF3bAPl8XkwDkLb+GXDhHNheWZwPu/I5vrEenDfhtq9avDt/2qinotx5Me+5UJoxGiCgs4LtWE8luu0yPj5DgOuC56Mvg0yoS0lVvu1nDnfvy8xfPlwdHIc29I6Zvrxv1NHuve7Xxbd3AH8EaxiAkqkOfuxTny8wzTOAzwz3mBzoBObQPu8N3OCVtqyX8NygCF614l/zpGdudJXrqS5fITrbla89LNzdXiF6qtD7f9j+/6n/f+o10Gug18CD+g2B30b5rfQv3/v9383c5/n7Ob/TC9EB6AnR0w5dgK546cOOKeG5PGGF51i3C8u3oLnK8wToKzxXTZ7W7ak+57i27QJyC/spCc9Tea51O8Fv7SDTn9d+Zp95Iufg4APo8nRZemdO9H0RY5kPfbVzB4auIH0F5JkPfZ9anX22lTnSTwLpbe1++nue931C9PHHi0r0TYi+wvAE6Kul+xY8X4F7Q/SDPwO69Bz0Gni037crPKckOE+A7qtW5gnUE5JbdwXcaw513gPLgGco67Rs19ZbeG2bKpcF2DmONed6Qmm2OQ+wq7pcOC0093xBuoB8BegCbSGwkJ+6wmagoH1rT65tPJBUm3iOZVAB9bQSpx2tyFV1276KdNtwH+MCSqqaXy3pGROvqY5X4S701l5dK3r64RWADAQ1CIE2gLEGDKjeF14XeB0KbNoQmrLfe8B9p0+OEwBgjnPPAzoDYM3rXrnjr92tflGGOjYAsQ4FAFrt7jkG7FZtTh8e49V1BiDWZpy63APGxTn2y7kqsLVdB9Roqa7ym3YBRqq82RbqA5c5n2uizcrZPlTaXAN12Kelu4AZUK0qHVUn7QCt2SfwFrAzBuZVBXgFRQwFPFCcuSugff7mtJF3vfFKGyg66cP875VT/cKtqktftAVIq0CAkSOd/QB8tjmH8XGObhKlfr/0R7vAhbG2WTvAftYbx8k1zPMAYAVUAkaRu7ws1AdABzB9+he+NMH5M88+P7dTge4xcqarXKdNra0BZEJGIaswvXIjj/zXWnebZ7xUqK99cwJ7wbSATyCtIth9QL+EqyqayxYem+kAkAlKhX/mftYee7UhFyILfIF1wnAV55mbPW3EBaKq16fK98U3pq38CrxVhztvnGv+eC3btcUWBAM5M7+7c2PgQOZZzzzqwtScF8cpjBbWmivbAIQMPFB1bb/Ton70LQznuOrqygU+ILDW9xOECkaH+px7IBgXnCZ4Nye3+bfTdl7r8zneUabVutcewH/C7riHmR+dz3Gex9xUv+O8VUnufAmZPdcc40J+r9G50QJeaK6bgONH7Y3y3Nzp5kQX9K+28HkPVZZ7T7SLV8lPn8J0njnmT6/zXn37A8A/1gn1VfOXQn1Ab/YBzIXnwHTek6qB5xLPHO4vjhQAdO+74NzAD63XBejpROBzRUguRE+Y7nvGNNXqA5SjhKcP4DlBRbTDtmVLiQ5Ap6hC7x/i+3+s/h+r10CvgV4DD2IN6CLK7+D8Jr7mPue3W387T3i+L5945j//MN9VwnNt24Xn2KPLEgDnsoRkCkJ0HW9XeL5Pfb4PnidET3jOWGgnlemd97w/j/1MPvOxnIODD6DL0wVTzYm+ZbvCl59feHyh8eWWdu6pWl5heqrL+ZLfUquvMD0hutF0M0rt6qv/LtXKCdKF6VuFL/iE7E9znu0tiM68rhA9gx2OWLrvs3LfUqOvavWE6CMf+oyYXIIk2rL/8GulS89Br4EH88z1H9/Me74Pnif4FoqvSvKE0OY+Tyt3AXoWle6AQ36YV60NXFMBnDnTBd+8CruBrlvjAcrZv/DYMWbecNr3uErvhPF5ripc7ciBoJkTXXW2inahtm0I8e2fbdpxnNStfOtDSW7uaSGuAQaCal6pL/jmWmxPqO71agFvMEHB6AH4AbUGCrBfRbmwucY88psDSnUOELoDbL1nwFNegacJ4DPfufnQgaden8pwga8uBIBhlcyq3c1TnvbnKvrN126+ca3szck+FeejX67BHOjsVzHPftcgbRh0oCobcA30LbX45X9V8IZz2Id6nHH5SqlghWHrzhzRnvDfuVJNDtwuy/NLQwV+4Va9Z1yquIH+qskF00Bv+jDnOvu4JuaB+VP1Xrb9F9/ZfebGfXFOqWOAAoBJpT8KUvOma9uuHbzjrgCES+9UmxTmw/tHG8D9mQt+fP5Yr6wnoBcOBAD0yid99vWC5ijIn3n2+QJawCjAEIpybdoTllOfwjYgnQLkBohljmchL0AKCAwoo33hOvAXWGaub5XeKtOBaeQ/p+3MtV2BE698e8I+AJ6wdoJsAeKA6R5XPesxLawL/AGTh820bacteebcFngKe6nH3JozPHOLl732V3bK34KtIx+4EFVwn3nDBc1pOZ851I8o4eP6BKbm8DZftwA762p1zboRKAuR03bdHO6O1bzSM1/2GLfBDGkdz6sAOKFt2u3XPRygVNtw83Zri5724NSZVuJaho/7rOLdvOgqsc3fvcJw7odA2kAJ25qwP3KaMyaCOwrSDuBsu84FY8tAA/d7nbl+ZmDIGJfrrlwvRr5zLdOnbfu4B8JqzyUPOwCdYyrDXa85B3ksgbfjylzsXK/qc6E5nyHvqRDd67Qfle5cD59lxqT7guBc9TmFuQZUc1yATloIP3NCb1MWCL11okhwbn3hOs8y65oGgXZKTT7arPYHQNe23YAg856vAN1jbeXe/y/1/0u9BnoN9Bp4WL/d+rstv5Oa+3z9vXxVn/Pbrgr0hOeA7sx/fr9RlLIVAAAgAElEQVS/iW/lPF/heTIEQfmaInZLeW5J1flJec/Tnl1wbmE8vKY6Xet2leed97w/t/3sPvPEz8HBB9Dl6fxxny8Qo8iAqkaP+QXIF5y50o8D6ak6F8KmbfsRVfNSUrm+WrqnGp0CaFWRnoU/MNYiZN8C7U8bVF/zoTOHQvT1fnrfjs1pvq9swfOA6LRLH0esh8b9bcv+w6+TLj0HvQYennU7ACvV5qtiXGvwLRv3fVbt5iFPBTuvqrzN5QyQA2hOiDtszM0xLhx2n+pzX1e7eGCndQXO5u9OZbpjF6gK2bNNwa3gWxirWj3bZOyCd23ntUYX1qss59XAAkGv4+ZcldDCVgEz/Qr6gZ+l2h7Qmz7s02tRsV7K8jFGlfRch8p36pYie+QWF7jTrveBvrSEV0msUtvxUgriXv9BQV/t1OvYyBdOEYp77TXHw269wO4AtYDZqWofdeiL/bQDKBb+akePYly7fO3tGYu5wq3H9Wu/Tp0Kerh6u+qqslehz7brlVfqF8weOc3ZZr952LkuAHYFFAyorwq9rNixi0cN/tp3pt09UMec4UJp+imV/VDKA81pF7hNKVX35Xernqpx62uhzhiF+eY814re3OrUAYqXjTz5i4Hll9+rfVjRV67hEbRQaRcu3CoFuveGVwIJtM2nHvsE+tr88+rnj88071Gpmv8cUAVMAgYBqVWGAqjYB1QXnFtQmgPPgeKVy3zk4lY9XSriYf2c0Je6qbC2Hy3JgV2ASS3f2Q+gAqAD6IVxAkBtwYWTADvAoypzAa2QVbAqeBT+zXYGXF8B8wS9i/q9VNBDAS9wFMofsZAfoDTHqxJ7VSUncDfIIAF4AnbHZX5t4a99qvwVaqcNuzbxKtCF7YJWx5RwXBU610G7AMcJ2kP5rQp/2r9rn//CW0egrWNKNTyAk/FyX0qJPu51zptQmnb4DAtMc96dh5wnc5QnrBZ2O0/WTQV5qr/NBe41JAzPdcizIsfr67SoD1ju3NqOTgk8++iHMXOdFewS7ZiqgOeHQQk1vvM3d/MyrNY5n3suiGef+6lPuzxbco5dPwL0VZmf18CzintlMAHveabWvqGupz/GwOfZlAMCdF4p5XxxdpeagBQTKL9/5jO/UuvM54mAnFfhOJBbC3f2m2c+0zvUuhwgXct21psQ3H0E7LiPV8bCc45tn5Nb1u6UtnLv/5n6f6ZeA70Geg086DWQoid+I02Avtq3Z/7zfepz4PGHyX/ub+U4rMgMhOeA6RWgK87aguce34Lnqs8TjGfO8xWepz17QnPaEaRnPnQDCMx7/mGCCLr0HPQaOPNYzcHBB9Dl6ZqD+4HofCnxpZZfdFv232u5B57vyY2dEN2yQnRBesJ08sFQAK++bsH1FbCvUH1Vqj8N7gMnQfQTc6J/GIgeAJ32M4fPVoBE50Y//Lrp0nPQa+DBWLev8DxfUwGeivA1J/pq1Z4K9ATx5jUHXgI3+bG9lG0DkAqSVVALqlWrphJe+/QE2YJyIbhqbWBeKtKtQxsqYj03c6OndbxAW9heMPDa3blPBTegVlW3wNu67NdCPQMMzPGu0pw6wE3V3UL4hPK80hd9MJ/W8bqF5iqoPYe59ri5vYXuAnPaVK3tmM1XroocsOwxIbk51GnL/Nfe18p1ff1fV2EMvLL26FtlNtfPfhXPqt+1qxeYA6jN6067AGHANdu1roaan7zpQmxhOu3QB6/mGacOoJhxaDuvtTvbKsrNGQ5oBhgb+MF55hGnboHhq7v86GXXPmAz2wYGpB165UC/tNtfEPvCrWpLW/+C4ZfeKdgMkAYgmctdJbmKcOG/ynOvg/rAdRTldf2Xd6p1Ax0ATIJ585pXMMXV2zsoNkB5KstVsNOu0Jwxm2u95nvkUdepwcAJCp9rxgM8v/Wv/0NZJpeaeOQ/xy5dgP1MWLYD1rVtL7Xocy9NCFX2ywP8kR4CUMW8oYYVjqtGF9yqTKfQP/uwk2c8tEe7rI/P/PJvvA9AV7UOoGNuhJcqgoWIwlXgoCr0gvED/KqUncreF9+odaDltYBRi27VwQlMBYcF2wdAdn8pdcOKOy3AVb6nzbl5uQF/1Pf9tPgeFvAT3Acgn7bhYdOeFuBahwNUp4J75A7PvO2CfpXPpdh+8Y3a5jyuKXPFZ55r65lrPQF02oUTGGH/qeC3rbQhN2e30FcAavvMlQEL1p05z8f8ZjBC5lWfdYcDgSB4BlIE4PaeJ0D2+tiXNud5HzwurLcfinnNc104zwnh7bPA81d3DhWuV7brczD65VzqJOAXjtc6P3djrn2DHzIIgHleFeVebzkqjOup1AjDCp73ri1dDgzUqOCfczcm8Beym7+cZ4gQnecA+/l8p4U7zxCeR1i4p4U/nwc+k2te8/qcjPu/Fvph/ZaKfKjSVaP7DNO+XTAuKAfO48JBn4B03mvbbi70BOlA9E9/7gt/0lbu/f9S/7/Ua6DXQK+Bj/p7rb/VmnaT375No7rCc0F15j3fskX/sPnP7xeepwAvQXoqz/dBfi3btV9PeC4IX/OeJzRnLIL0tG1P9TnXgYq+063057Sf1U/+Gjj4ALo8vXNwHEQ3fwlfSCrRVaML0beU6IBSXjfh62r9HRDdbS3eE6SrVgb0CtMt/9/d/7us3nkVrK9lBewrVH9a1OkJ0Ssf+gZET/eATZB+nI37MQCdNWH7rhOjKQ2O8F7ty3t/6Pnr0nPQa6DXwEnP1y3rdkBWqs5VeCf0TiC+wvMVkmdJmJ4K9ALHV29PgE7R0lvrdKAk5wPbPD8t49l23CqzE6h7HbZnvm5V5Vqwq5C1nuMV1Kqcti2BIIARMCk0VvVtjnUhujnLOY9X5ltL9aliH9bqWqcDNmnXPrViV82uarog5LCMdy6AquaaNhjBnOVanNuXoFPVviDc/OMWzlUBTp9a2dt3Qfart6vuqrg3f7rqdeoAvXnvvLBfuF2BBJd3imb30TZ1AeHMe7ZjX2yXTfkA6wJxldEzn/oYU+X5vvxeAeA6N4I4ANvsNx85YNm83qqtOZdrANQDr4XPKrLNAc54OZe2ec9+8pJrG49CEugM2AF6cywt2wXaKtINTqDdmouhOBfGUwD4zAt1ve/U4745dtoFLrHeqGeggOfRJzDMHPGOnXFST0BOv6VwH2p7Ax445me7bOzH/Pr5BWyj7vzzH/6wgikuXrs1LYkBVn/lE7+4g9vPvTRznaf6HLgNABOgq0BXcVyg6rXv7AIYhpU0AA1ApnWzQF2IC7ziGGOh0D4KWsYKlAKgJ+xVyTyBHeDs1Z1FtPBcKCjYmxBvWHanJTV9CU2nHXhYY2sDbr9aW6ed+QrQzTc9bdwX1a5Ad1qbR45wIW3mB8+c3ewraD0Uv2tea2F9qonTsjxV7sLRzAduIIL5wlfYbV5rYWzmC1fZn9dbgPcru3zxBiaYl1wbfvs2CEDFsfdEgJ9q8FR0u+19JZBjXm+UBL2+t60E4SrcncdUZ2sJL2zO/OL0yzU4/rRBF9o7RoMl8vosQmnH5rpznFqk+zmYEH6c67gE3dTzc8G4zA/vZ8Ax85mr9XP+5gfrebnu/Kz4eSIIZQY1vPp2ta1teynPx/ULzLVQ9zlQz4LnXvrRt//Zt8q6neAbLdwn/B8q8wTn5kD3+aMDgekAdEOoQJ04RzgufBeca83OMZ5JvAL0U31uHd8L3lcV+rP/269/hXzo/pbQ/yv0/wq9BnoN9BroNXCaNeBvz8Jzfgv1d25+n014zvuE5wnQt8D0h7FvV2x3P/BcUL6q0Fd4znmMkTZ4pb3jcp6v4NwxpG17gnThOedQtG4Hnvf3c38e+5l85mMxBwcfQJendw78st6C6HzRCdP9cuOLji9qAfqqRL8HvO4DqxsQfQXpmTebIqxPu/EEshQg+nFlheorUF8t3z9OMH1VohvdmBCdP8wyIOJYJ4HTAPSoZ2DFDK4YwRIJ0Q2GaJB++PXSpeeg18D9f5cCz1N9vi/feb6qlt6C45n3HGi62sBvnQecM/+5+a4Ba0C2tHMXZtueKnSBctrGp8U8r1q9q5wXkJtbXDU2ReW5fXJstaB3LCq1eaUtc3wLioXEeQ1lJX/tbgFPXldluvbojs0+VIkL9FW+J9A317eW6irqaVv1uADdcWjVrk072yrJtagHfArw6VMo7PwYWFAgOcC3au+Zg33AavZ5L6hDXYCv47Yv85hznD7YByBG/atKH+hNfeZDoEsf1NeuXXt5Fdy6EAjaVUGbEx4ob/AG/Zmz3Xze1KVf1idtmr9cRT51AczmgHcf97zyY6MOxxL90h/NXOLMsSDcvOKCdHOma8NO34yjgkwuvjNz01MPeM86SsjNuVyTwRyOjXMZm/PGnKrqpw/vs0pyQXkp68dYywb+0jsz7zxrgGM6JuhC4Nx633h1PKxnxsz1qj5X5YvCElv2Z559vl55j9oSoAVAZx/gy1zFvgcwCaJUSpsfmblF6U6QhHBTcM6rSmLO13IZMKUtM/s5n/cAdPpLCCyoU5Grghhot6rJrWuudOrWHKPwPX9z5ngmsCiBszBciDjtrF/ZQUZtq8sCPPLYJ9BVpSxAFJhyzYLwzJ+decZVOTt2wKCQkrGq4J8K7gGoEwQnVMz5496tCnAhPPCy8kKP+lrHC09TDS6kXQMQDAAwp73qe+3ZVRVzPYL3zBuu20ACZqGxfWdu8bRTd5yr7X62p3Le/N3pDuA4Bd7m9HbdEQDD58Y87GmZn/0kqM81OO/3UGvnPE+r9LB4n0ECoy5rTZt9Ybr33zppke+6FKBzf/mcuMYMIDFgIK3sVabnGq11jMo8AlP8DDn3qtx1EWDOtFcHRtMXa1A1ucp0oPmXvr6D5dPCfQS0CM55JnAer9TltdTuGyr0VKjTN3VVjwvNeX6Zm11QzvNPgL7mQvdcVedp655KdFXorXDr/536f6deA70Geg3c72+0Wrfz+7TW7fwuy+/c/j67WrfvU3QLz1N9fT/qc+D5mvNc63TheQJ0QfkKzPfB8wTojFPoLUBPeO7rvpznWdIKnvGu9vUfl9/0u/QcfPIpn4ODD6DL0zsHJ9m5C9F59ctNBXoql1eIflp4/h//7Z0JU3M7C5A11cv5ap8J0VeIr6KdV8o+qL4PqK8q6Cf9y5fruAeij4hBITr3czMgwvt0Woi+BErM9RH7heiWffelFemHXztdeg56Ddy/dftWSRv3tE0Xiqf6nH2ZHz2h+lq34O/IFc6P6IAXwbC5v1WgJyBPkK/CPPu0vvbjgnatx4Xpgm9eM3+7uZkF26rCVVarOlcFLmTUlh0o6ViFhGnXruW5Y85x0rb5pZkD+9bOPe3btU83d7t9U5droD3qOU4DFByHNuiCem3NHauKdhXougKgiHYuVZyrdKYt2qnc42/uQK4BBAJxAwkE26VEv3Jn5otnjNq1C80dA9DTXOulth59GoAhLM6c90LyUtRf3cF3zuU946E9YTpwnvMrCGLMhe1SFyU7AF2bctozVznguNbJAN5ch5bmtMV1Fjw/t7M053gp+0f+cs7X1h0obZ5zVdy0wyttmosdYCVUpw/uF9c286WPPPYGNVCP9rgOxlJjRd3/5p/V+FSwA8IZI9cv7GcsjI1rdWzmUzf/O/eHNlzfZZ9//fvVX31Grn9/fmZZ++wzVQCvAnQAMJAIWKQ9e6rDgdbAdF5ViVMPsC5cEpwLaUv5ff5mQTMAONuM1zze01L77Os/+gevfZCjmD5mLmPg7dnXC/Sh/sRWnj7vURT/2pUP1LRAxRffKAWtcFpb9wSSQD7WAseYY95zD4GEvLeeCmDhsPBcy2qBIddbYHLk6wbkpfJbha4gXAU0c8WzONXCCalr31DyppL7iJI8cmzPnOWq30edzF1tXwllvR+qzgXoWtdb19z21nPuBc9Thb2o7R0X917gOmH7gNhCXvabA501oHV9wvDMSa9K2rYKtAqZA+BmfnbH5xrx3rovFfVzvkMVnir4BPXmtDfIQXU57Qm32W+Qhvcs87JXsMFo3+s1j/u8RwNWm2aAz1CqxFl/Oj+oEGetOx+Vr3ysWde4lvB5bfRJG7Q31+cIkBC4Gzzh58T7XOuCgJLzN6ftO/1q3V/zevb1eoZwv7kGnkFcP68AaCz/geN/46c/U9BbqJ+KcdYIdahLHdX1qs59zgjoKwhnvFdFblus98o9PyA5dYTmHHObsWnhXpbwA6BbVoCuCh3b2yf9t4IuPQe9BnoN9Bo4HDxP23YKv81u5T4XoK/wXICu+vq01uWM5zh4LvjeguepQj9Jec44tV1PBfqWdTslwfkWPM/c58Jzgwf6O7mfZf0sO/OxmoODD6DL0z0HqUrmSwagmhDdghKdLyW+5FShZz70hOhHFMunVJ8nRAeqrkp0c2cnON+Xez2heYL43N4C6qdRqB+XQ/1J+IfZoAn/WFshOn8AmW8n5/W+cqPnfV7yoE+Abp1QolPW+7IPpH/cAhu69Bz0Gniyvz+3rNtXiL5C8MxpnlbtacOeryrGV+v2VIoD7mgXKJn5z1U7276W7I5BgJ7tAQ+FuiqzVToLv7Up185cqOd4ra+ynPrC2FJRDwV1QcpxnhDYvM7WzzFoDc8+rtU86OZY9zxBuaCb4yqsKVquqxAXsmt97jUK/9lXAHhAchXhgncBs4EBtmvwgu4AQliu1fmxrtvCca4v9wFdnRP2c59Syc44AayOTxhb+cKH5bgKcIMbhOEZACEkVkHuPWG/c67i2zWh1bv269rI6ySQamwKVuj0Wfbol3d27EJy6nM+/QOVVacDP5k3xmbOdMZHe7RNHaCRAQ7UB1gDsbV155wC1cDuy7v99Os65lqE4bTDfArDS+F+5U5ds8Ee5plnfnU8YBwF5YcKXsV93aOrt6t/xqadPK8F+0cb5R4xcpxzHmNyXoXqrm/TFvCecdRnYOQ/5zmkHbLgB1guGAMsaYFc4OjlXS5xQDagC6ikuhMwxtwCBEvFev5mXScwG3hHwARQLwGo6lCgl9bvqk/pg3Y5H0iFrTwW8FqHU3iOmccZeJ2W1cC6UgGHVTtzKjCfatlX365xV3DFALi8r9zQo40EhfbJNaVKPFXMQldzbQsqaU/L7cyPrqra445XYCrANO/0tBg/twsU0ObcsQiyE46b59pggCP242E9r7pc5b3qe63BtbAXbE/FeCjrtWG37bSDF8R7H1lPzrHzazuMF1Crq4EKb69PpfTMsR3XobPADD7QKn/k0FbtTXsZYFDjPXdjqsgz+MK+tdrX+cA+ErSnmp9rYH2mBb3W6QYnuJ6E2Ksi3vticMpMRTDmydzmvK9UFNrU28cIUFAJzmfR+z3t1UNFroOAMN4c7AYVuE793FMXC3cV92wTnMR5qtqB3GXpPp4ZBt2wT8CNuwXPAApQndcE6D6vqFuwfATbVKoHFOsXdwEntiegNxiDe+C+zH/OcZ5nacd+RGk+HDE8J49lzvSE6Gnl/qnPfv6XWoV++L/Nu/Qc9BroNfAkwXN+4+T3zi14zu/eOr8mnN6yb094fj8AOUV1wvOv/Oz/cPfy3z9TQDqt21N97u/HKzRf4bkAXciv9TqF9rfgueB+tW5f4flq3Z7XzvV03vPDr/UuPQeffIBz0AuqF9TBv7xTlbwF0Vc7d76oUrWcdu6owe9RKy8A/YiK+QQFeqrQaXtVn29B3k3Qu9GuffJq2adOP00O9a2yAvbHAfTmH0lHIPqwcxeiax2UKv8ti37n7iTngSPnBUD3HgrPaes0IL1hen8ZH/qz1OXpnoN91u1b4Hy1ZV+Budup9E7rdI8JuN1ORXvl7r7+/XoP8ANSaPEswPU8wbN9a+G+quFVaK/QXlW6gFdwrho8FdVpiy5Uty1eGdsRq/Bh/a6dvErwtFznWNalD5XequLtk33mGdcGXYhsYIHQvcD4yD1uXnLV8tRhnlSOu1+4qTo+850DQLWWTyU642KOVWdznG3a4vpUlwNKzW3OPvoF/jLfad1unnf20Uep381Hf+3uhOtc08xVP6zmqStIB96yX9cC+qdPzmW+SwE9lNnmVgdKlpJ7KNEFu84fbVqXfeYsFygL4Q1O4PoE5aW8v3LnCGDX2p8x8h4QTX+l/r/87k51fOHW7INt1N0AKfaxzT7qc92MQYt05pjPjhbxtq01PudpXW/AA0Xbd45Rqr9h3875quNpG1t42uJ9rftrd2tf5lnX5t1UBlrMF+i//oNdSoJx/xwHa4h7xD6CBbhHAPRv/ss/LrCNsvJr//R3C1wDkdgHiAJgAakoQijV6tq3a4ssvOP66APABjwD1vOqQlyYSf0E6VqGA9sYByAf4EY+9KlAjxzowmdgoG0Jj1WXTzXtgI0APeFqFe7FUOQK0AXhQMPMey48Nce1QJP3PE8rKGlAUOEpIFOFtopiwaPjV33NWITIR+y9h4LZa8j83wnThcBC+KkSJz/7mFdBq+Mzb/s9+eGHbfmqvPZ6BZnCWcEsr7ZJH8wha6jWzgCfHNPe3DkoQIyLwatv1zwKe8se/8U3dor+cd+9r7ah00EGLgidzddt3WzPgI20HK+1PgIxOL8U9zE/Gbgwc7kP9fiE9uEWIGwXMqeNvve57OAH6Pa8zAevMt1ghQooGC4AGXyhnX2q4qc7wQhAqPPO3ajPgefzKgBXHW86hZlyIPKZp6MA52oF75rTlp9+OI/jBeAB/699p0C4anHXg1b4gGhSQ/As+vKlb1Qdtn/8J3+uoLSpAVhTnp850bXTVzVfY4u67GMtTlA+oHmq0wHf2MYL0ulXaG7JHOlat68APSF6q9AP/zd5l56DXgO9Bp6UNeBvsSfBc35fT+W56vNV3a36HJDM7/ipPj/u92dBfirPhecA7YTW9GWfsgD4wBY4lx8wtlSgC9C1Xd+C5wLxfXnPc0zawAPOheenvfYuPQe9Bs48cXNw8AF06TlY82Nv2bknSNd+RcUyJXNor7nMBeZHIOseoH1P3X/zBwVvaVOAvpX/PO3Gc99mf/l+gcD7YPppFOprUSn9uCnX7fM4iJ7uAltzvRmgkK+r60DcxxWgr1D+uPuwFdSwBdMfl2CFLj0HvQaeXuv2VJrvs3JPlXmCcgH1qkLfguv2AwxU1Q34A7bZnvmy07pdMO75aQXt+IB/9mmOcNXGKrO1lla9XPnIhbehWqcIwROkawcvxJ6QmTGPPM8CdRXmtkc7Wn1PaP3mnx1R8tunimwgpUEFmc+cugYZaIHNK9DTa9UynnkxlzfXC+CkCLoTrlLXAARBtqph2lZRbhAE+1XfMwZzypv/mn1sc4+9NuuXYv7KnRmsoIqeeUQN7dzSBlBXu3XGaN539gt8DTBAVW4gAtsGG5jn3fVlIAXvBeZcY8HsAfMNYqAd6mtb7hoyXz0qbfvhGPCathi7ay2hszBaqC68LzX3F79Z+wToXJsKcYp962SAMt4xlTr88nszFzljLuX4CCaYwRdX7uwU4Zd38F8ree4f59Kea4q67DN4oAD5hVu1nujDQAT6YHymHdCWXjivlb8561WiA7cB53/+wx+WAh2FJyARaA0Q4jiwHfAN6FLlCegSPlEPhTjAKWEbYA0ACYDnHrKt1TzXPmF2wEe2S2k8rNwF9bwHzAHQzYGuvbWq3VRdqzZXYStYVWEu2Jtq8XM3psU7dbkvKtFVaJsrWgtwldicx5xlbnFV8QJG+9BCnvaAk5lLXbibebhVbicg1468wPIIQpiwWNv0UD2nwt7c4xOYR15s250Q+ezrExanTbpw1b4ExrRnYAHrxuPmnq4gDKDrsGDnnqaimjmv+/biG7XW0tZe2L/mU5/K+AFwnTfBt/njBdpCdOfKvOasMe5NBTacfX3OhZBZJXVatKfdewWIDBt0x5kwXicDATnjAyTPsQybeeaHNZbzrdI+c6GrPi+APs7V/l+Q7jWnE4EODSrlDeTIkufyDDSlgpBfu3iV7amIt/1MdcB7gTrKcMbN8yQDHMxZbj5zYTeBMwBqIDbPJJ5PBM8Aqb0u9pd1+oDiM3BjBA/MfOkDtgvItW0XnDPP7AN2C9XX/OamlFiV58JzQfkWPF+t3FOF3v+HHv5v9S49B70Geg08CdbtQnMcOXVeFZ4fpz6nJDy/H/X5XnhOPvI96vNVgb7atgvYHZvsQH7gNmMWnK/wfAucH2fdLkD3uvs7+PBrvEvPwScf0hz04urF9URBdJXofpEK0QXoZZU+1MYr2J4AdUMBvvWa1uvZDn9YCNK1Gs/ja91TW48vRYB7Uv70FequivUtyH4SVH9U93vTzj0gOmWF6Efu4+oosAeeH7n/q43/MufHBTXsU6VvwfQG6Yd/rnTpOfi4rgEDkKb6fFi3A0pXiJ5AesvKfVV3C6VXsK6tNkBuK1c64Ew1OQAGsKaSnH1bwD7bFsayj7zJjEGAnmMT2GqJrnW3qm4Bt3WpR//CPVWzwl3aoq6AXaW2Kl+hMPCR6zH/Ndu0CWBknAmTBffOixCa49p4a3etuly7dmG+4F4FuCCX+cl878J784ebd13oDRA1f7vqda6B+bI+1yqcN3ii8moPi3hzoGv/XeMZKmzPV8XONdmH9v2qqrWs93q1qy8l+rduH7F3dy4ArbSrEwD9C3pVvKOgNre4sJ1t9hu4IDDXVp57AFSmXgHyAaSdO/thjMJm4JR54GmPbVXavKruTqt6AB7n0p/W6CrtAYI6CDhmQLR54s07r5W79vxaxtOOgRJejwEMQnPzwQPIXTf0yXH6oh3Gx7o0Nz0An7lwnk25YHCDVv06M7g2uB7WGp9/nkMAdKDlb//edwsOobYFcNE3a+Llb9ycCs+ESIAmbdx5VcEpQAdm0TfXwViZL15VoQs40zJbq3MhFtANUAiwA6ADoQDoWLh73szjPd7PPNivDoXuuV0bAtSZq/ncjQnzhY1l5X/+ZsFz1tygEjQAACAASURBVBbAT6WwgJPXtH2nFCweuc0LZr5y44jCXat3gjkEmBPSvvLtI2p0Vc2pJhe+cm9mvwO6q0hOxbNw1Ov0fM7TOjuBtjBzy4Zd0GuAgPMrLJ1K+AGyMy96wmrPVQXufTMYQit4be6n9TvBEOd28LXU7mFFnwEGjkMVvP2qslaRP8HquF4t+lVvOx8GdmQbaeNuoS0hv+eyblXYq+w2X3hB9KHCdr/3eKrMVaFrNz/udc6vwN77LdT3vtvGDCz4ygdrQhAu+Ocz6WeG5yft8Vng2gwQMD0C29iyl5X5mP9ap+OeVF71YfOuvbqfGz7HtO91Uh9oznxlwAz1Aeg/89kv1jMHeI4SnfQNvK9gjVff3inKX97VT4iuJfy0en/5m/VMoRAkYV5zn2V8rnyG5XEV5cJyzxG+C9ITnK/bvk8r98yF3taxh/9bvUvPQa+BXgOPMzxP9Tm/sx4H0AHnx6nPU4HNbxQnwXO+o47A8//lp0sRripciC383oLnW5btad2e6vOE6MDyrZzn9Kmq/Djl+XHwnPk99H3u0nPQa+DMQ5mDntj+cD1WayCVyQnR18gzo8m0/E7bb7/4tZ3R2l2AKmRfYem+/OiZ1zxheoL04yD6piL9pBJ282tu9jWH+pZa/TjAvgXWDwXUT4LolFWJnnN+j6p/yXu+T2V+T51TBDLsA+knWbw3SD/8c6VLz8HToD4XUm8pzfO9SvI1F7qK6VSGJ0hXgSw0XSE8oFf7dWAWfQDCbXs9J8G4baoy57h5v1P1rkJby/TM/a2NuGpxVdHCbHOtJ4A3f7rXKXCfiujr35+5tBP0O1eCeUCjwNprBe5xbFqWDwguGBWIO76E9UBjFecC/lLYXrmzsyYfgFT4rPragADhunnOvbaC00OZD3BznGwL7HURUL3OWICdtg10BQA658yNINs89JkDnlfGbMBAwenru8AD7dbpg2IghHCfdrTK5946DnN5q5B2rFqjzzzs1+7O4Abhvup5bdG1WjdgAJjM+jV4wUAAgTMQk22ui3NVrTMOFJC0w9gEzeY7z36pWxboV29XnwL4gtVjbrVfr3LxnYJO2qYzJtvlGly39GmOe9exwQ6uC84zmKH6H3bzWrSbVz3t4Q1KoW/GQtvU5xjzqnsC0Jg1z/zx2cfCnfsHhBIIAZO4fgIQgEZALY4JyXkFcPEqfAKI8aolNxCt8tef//3qv67t/O9Xu6qEKewDogosgV1Yw9MnUB9IJkAHpKlAF2yrpk3grOKYYIEEhNqra9GvMljr9FL7vrJTIzN2oF/Zxb/w1i6v81Akp023UFQIa1sq4afd9yvfnnnX6ROQaA7uUukOFXRCVcG6fTK+ssAHwJ/fXVMC9qlWj0ACx2bebdvjfqtmp90EjgketTm3TWEu49DKOxXStM/+slsfY2M7FdWMRejK/BoIUDD7N3+nPsOem0rvzLW+qrwzUGBa0Q8Abi5zAzscS0Ht1z4ILrCNe5TZr+yCMMqBIHLSu151UnCeCDphu6zftYxfcpKbysBgh1Uhb5CF98HAgyPBESOAwbWbgRSC97JQH/bo3k/TKngPUynOOs97adAFYzevuGuez5OfHwMqOM7zh+eEVvMUPoumcTCNgHnPVaBTWJdarfN5BzwznyrQAeiuRdvRtWIGfrz4xu5ZNBwQrEO7gvB0uuBzKDxXiU4/PAuF5byyz+efdVHIr1bux5W0cm8F3OH/Vu/Sc9BroNfA47QGUqy2WrcLzX019zm/sWee8VSem/t8Bej8hn9SAJfwnLoqz1/7u//dhOfmIE9orTX7PnCuW20C9GQIabue8Dwt21fV+ZYC3fetPD/8mu7Sc/DJRzwHveh60T0xEJ2SKvS0cRGiU7SV4Yv+L65enK+W4xTMq4V7QvNUpef+zI++QvZTgfQEuVtQd5/9+5Zd+aq+HtdyWjv4Lfj7sKH6PojuveV+CtEF6cL0zaAErz8CIE4MYDhlYMNpYfpqsb+C9LbVO/xzpkvPwZO6BvznF/W58Fz7duH0qg5PUC64TvV31s885avyWyVqAnhhu4prStkzD9AstFa5bh2V0xb7tgjTE4Knjbngu9TXb+4gt4pm4brAnWNCfnOJp+rb8QnmVUoL61WdC9+5Pq+XawJi2h7b7hMk894c14J2YaUW2IJ2847bN2OxDc+nrammHlbm7KdPbbXNI84+58H9wtUJiSNYQNgu7Ad0qmpe87kbgCDE9xzbyftGHSG/gQK0BQDN3O5AXeqa39084lrzs84NMNAyXfW4MJ/jtGn+cPZrc65SHbU49VR4m+scEEm/Kt+1dPeaVXnTBtulTP/tP55QmHZVdQOraasg4z9+Z2fzrsX8lTuzLYE3IMkxUt+xm2MdeMQ+14EKetoTuLOtnb9F23v6L/A7bOw5n2AAihbtzLWKctrO1AneD/bbr3ntvadcM3OnAp35QAUKYNLCHdgFuAIUqbYESgmQzAkMzBYmUUfIBoAWYBvgwT6DHABb1KMtQBptC/nKcvnFL5fFvGpS5kcLdyzjtQwX7gk/zdMMnKRv1MOCSu2wp/X2V28egdMqyKs+kH1A7akYV8Uc+cWFvpyj7bh9cb5W8AU8L9ya9vJCTqGv1uBCVO3chaaqjX1fCuQxvrQfFxTbrops4bVtpg2342DecSPQjl/VsoryqVAf52vZn3nSbd/gASHpzNM+YLPK7QmehwpdaOu1Tqv9ULFP1fxQ4qd9euaKdy5TOZ9tCFdZB9w3z014nm4ABlykMp9ggHlvBrDNfp0X+hDyel/sTyW4dbmvFfgxUgYYJJKBChnAof0+7c/xodC+9M6RYAHaZN5VvxvsYO5yr935Zk4qFcUA4dqwq7h3Hp2bgtIjPYKfY+rSNwEjOJiwbjymatxtobYKdJ5F7KNfAPpfP/O/zmCdef3Dmj2DPijUK5eLoSgXoAvn3VZVnjnQhermR/ccnTE4Rtvau6syT4COev7Tv/Cle5TpvH76c1/4EyB6q9AP/7d6l56DXgO9Bh6XNeDvj8Jzfqtc857z++qa+zwhugp04blW6JT7VZ/jkrIFz//JL/2dI/DcnOUnqc8TpK/AfLVv32fbDlinT19X5XnC9ITnmfP80Pe5S89Br4EzD3UOeoL7Q/bEQvQ1F0oq0f0S5Us+v/ApK0S/R30eUHW1c0+QvtrDp6X7Poh+apB+v8VzT4DxHyXH+qpSf5AgOC38tRTSun/Nib66CmwC9GHjnwEO9+RPXwMRtuzfT5jD06jSt0B656Y7/DOmS8/Bk7gG/Od3WrdvqM/TGp39674ta3bgWuZAV4Xue7fN5b0PzqM6BWgBsgBwAl1KKt0T0mvbrso9VdDCV88R1Ho+/aiGFdarjBZIe74wPpXvglohuvm/VTibB53iObZF3cwDz7YqamG1Cnqts1ULm4dchbOAn2OlMB99uu01eb450lV0C+JVmGc9obkBBs4N9QC3jhPwmbnqVYDTRkHmN3cgl3NUiBuAoJ13WtWrMudVgO34SpU8LMsn3B4qbwG3VvCqps0Z7z2iH+3zuf8AFMZqTviywb96u8Zb6umrt6d9PtvmHueVsZsPHKhMPc5zfkvNPoIMgMQVSHDxnZnXXGV5BRsM23rzn/MKMGW/10/bKtcN+FB57xyYI9688AZcMBfeH10MvI/cJ47bhvfIIIO00TfHuWNwXapir8CFcEhg7mmfcWizT1+q5f28MZ8AMdTnlLK1/8bNAj4ovYFXvAeiY9Fe1tZDpSnw1NKdwv4CZ2e/OkFdwevL/6rmm1I52i++M/vWBrqg39nXZx/aa6dVslbugKwf/8mf+9F/87NfmBbhKrIFgqraC1Kev7mzkz6/U7wLVgvgj/zRmbNZNW8p1S/cmkp1leCMmfa4DoEw7RAoICQusHfpj3avI0+5VuqOo1TBo/8E7NqWJwRXEc85gv60iE8LfC3I0+5buGpd4Woqrt1fEPKlq3V+wd6xT2V1Qv/Mme78CelTGW5dirnhtcNXIe155vA2oEC3ACGzyvwMMsh870fyoTPfY4xpZz4V62Gd71wZHJEK7lKYLzA/51IgLxB3noTWKvy9F543gzXGta257lW7234GbaRVO3MJnDaYo/odAQhluT7U7xlkYNAHhfugpXyq02dQwZiPzKHOOWnV7zVV4AtA//zNeY0q9zmXz4/AfyrGh3W/z4/Kc3/29flcIViG5xAwHYAOCJ/j/Mo/r+eU18h8AL9VtKsU9xlTAT6hRAdoG/yTqnJeU60uQDcneirWE6IXHP+FL014TvnML//G++7fUqED0f1//dB/u3bpOeg10Gug18Djl/fc36/9DVuh0mrfvirQE6ADnPmNnt/r+d1+3/dO/t7r7/vCc4rwXIAuPD/Ovl1VeirQj8t7rnX7aS3bj4PnlJOuuUvPQa+BMx+rOTj4ALr0HJwGovNlzxcUyuR9lu5bEJ0vTUF6FgHsEWvvzI0equSE6KsaPe3cBbVG7+2D7YLce0B6KsqPA+UrJD9NWWzht2DwPgC8Zf++KtQ/qjo9c6J7v4Xo/oG0QnQCIXitgIWN4IfVDeBYcH4cQN+a85g/5m2F6SfZuzdI7+def/f1GniQ1u37APpq0y4UXXOQC5mFxJ6zwnTOXwE89QDnbjMW4aG27St0dj/vgW7CN1XgFMAqcE7leirgLYA94KUAM9XqQsIE6r66z4AAiqBZG3jaExALn4XvjBt1skBXIG0fKt3NyS7wtp552wWa7AcqAzq18xaiOy6V9F63SnQV8l6HUNpgBIMEtDk3GMBAASFp5XcfgLiCCkbed+dUgG5u8LTX996pUlepr5W8wBw4m0p87cpVkHu/AMnmCzcXN/WBiUBc51iVtNer+p1xckxlN68C81qb2GUP9T77CzAPK3PWUtmxj3k3iIGxOQ62zX+eoFz1vNcE7ETdDpxnPoXgugI437RH0U6+4Dd54AfEVvnvvLquDB7gmrWgF7Y7PvrivQEIOg8YUOAa1NrdcdNO3e/rP5ifG6G/Nu/ME6/mceeZwD7uN+pzADpwSoCFfTpwSIUxEFvFperMgoRnXy+VJ6ALyKWFO6+l+h552nWSqGs/d6PWB59L6gDPaMdX4Tnn0W8pUAeAA/IDv7Bxtj8BYsHBYckuIC5gfv7mEZAuGNVmGkAobBWemr+5lLcDogsrAe/V5oVbEwRrZy2wFeQ7hoLx5KAe/duWEHaFsqmWznaEkgVrB5jPXNkzP/hQJzsPR8BtKLYT5gpdK3Bh2IVz76diedjFqz6fausBwL2uzG/uewMaEjCbp1oVubm2BeIZ3OC1qNBWYS1AT6gv/LUtgS/3MFXY09p9lFJUj6AGx68Cn89BWt1POD7U6xP2j3lmjrRe97orIGG8z3ub6n/vp0EAWqLneihoPeYt1fCuce+PgQi6MDjOCkJgjQ/Fu8fYJ2CnDfPQa6tvgIBrHIA+64xx1TWcfX1nlz6CSSgG4hAEwznAfp0GpoPDWHcqwn0e/NinPl8BPAT14EjBZ1/7dS3otaF3brWpr2fJb/5O1Tfgp8pQu9OXedETjluP4/RjEI8BPSrVtX+nmAcdSE5wD2MWlrOPgCSK+/7Wz//DHwrRP/XZz/9Sq+L6f43+f7PXQK+Bp3sNJDxfrdsF6P6GrXU7v6Wn+nxVeWvfvuY+5ztnHzznd16V5wnPL/3UT7x/+e+fOQLPaXcfPF+heb7fUp9baHe1bk+1+WrTvm5bR3iuXT3X1PD88Ou8S8/BJx/BHPRC64X2WK+B1d77JDU61u6ZD51tv3wzZ4vw9YiKeVGjZ/7xhOjC2K286BT+CLH/Fdyu9YXom6r0FaSfFpafBNJPUFRnnvV9KvX7UaifVLi/Fs9NK3fuad5XoyK1cWe75m3Lhj8t709S8O8D5/uCERaQvgYjnCZPelq7H/qz1qXnoNfAE6Y+H9btKzxfc58Dt7Uazzzkad0u5E21OCWhuucngBeas804zHsMyALEpeW7UFmA7ri1FDc3t7BYqE5/gneV3UJ33qu2LSA51NrAwLRqB6rZrznEU+1OHS2wBZtCY3NOaxdOHcZNO+bsdg6F9/TrPuG40JTxqngHkPJeRbfg3xzsXpPjdA6t4zUI94W+QvO0qBe2CuidG/bpVJC5swGsGWDg2DnfAADXgjnlBdmMVaW4c1QKb6D1gMJaqlO/oOfI6a6lvLBf8IvCXLBL28wpY+Fc+1XpT/tarnP9qBPtSzW2c6uSmusVXANAVa5TF5WzOdTLPeDKnQLUgFvAJwBZ+/MKkhjHvVa2KdQRxBtsoZpbm3zt0713BloY0OB1mr+9rO1HfniDAoT1XBN9ArVV/HMdzq9gnTpTWR7W77oA6GbAe+ZKaO5nzXteLgRXb0/7dmzStWcGWAGnVe4CuwBFQkHhmCp0ledApMr3POA3wIw+eGUNGGzDM4d+yo59APQCUK99pwA974FfgnvGSJ+sDQG6OdCFxQU4gdrnbhRUow+gtepZwBoBEgWgh4o3c44L0IXYtMc1WI9xCue0xaZtYCp25+aMLtXvsJbWXl0lsDnA7S/zm9uPCmzaNl+7QJmxs94NGhB28mr+cO23VXnbDvdLa+/VOjxhtDnQE8yWEjnsuhO4ex2OR7Cu0p9t7mlZXWvrPvpl3mbu+bAlT+W3dvven7Quz7zwmY/e3PLCXa+H9U+bXKOBDALtGvsAutrdczwty7nn7s8AhZm7fNiyZ35yr7cA9YDeFRQ0lNsZAMGYBPza59O31vvpEmCOesfqZ3KmGRhtW0doLSg3aIAAEc6rz8QrN2YdgTjX4ufefd5nXw2UyOtxHPYPbAei89nl+8HAjFSeV+qGANw8E7RwB2rzioX7f//3XvjA7p2xj/nyc8iaUQXvs4X+BN2lJB/tV8qDs6/vbNUHQE9rd54/tKsSnfepRM96FPYxZuA5z1AV7gQksZ/XtHMHoGPlrgq9f9w//N/vXXoOeg30Gjj07werdXuqz4Xn/Na62rdTEl5TUn2+wuSt/vflPN/Key7UVjCXEP04aH4cPF/znlNWeL5Pcb6lPPd6mde2bu/Pdj/fzzw1c3DwAXTpOTjtF795X1eI7hfjCtEtRM35xWm0HCXt3IXoEyJvKM8Fy7zuU6+jRF8hOtsrRN+nRqccUa9/BID+F3/5F/cP1SNYwGsVBp8EhBOmJ1BPsL7uy+I5np8Rkpa0GFqDEI5Vlp/W/v44WL7P3n3s22frzpr43p/+6Y+OA+lt697Pwf4u7DXwYdXnwustgL5atae6PKF4qrrXvOh5nqrtLft2XrVtBmqh5BWq8t6c4OaAduxCcusKybWpFuLbr9vadNumCnQhIH1kTndVtOZrV4Ft/54rvFY1LRgX1Gm57jkqrgW/gmmV69bRqruUykO9LSQVSjtH1hXYUlfwr/rXcVvXAAHhqPPr+ewT0mp5L/Tk3jlWAxqE187vVKJfuTPdCKhHP6qSp2I9FNvmagf2Alaoq9LfPNqMRdV45lKnLc4zKIE6tAsEzjkQKmuNDjA2D7iW5oJ6oTngm3N4BQiq/gZwAsLN784Y2ac6u6AnkP7CrRkQIDA3mINjeY4gH1BLm6WsH1b5qridX5XjnCuY57qZWwMtWCtT4c49DfW+99D86tQRoGtvn0py75GBIgYsuLZ0EWDMbNOGgQA6P1AA+IBtYBNwmudAOTV86/aEO5Uz+PzNqqv1sqCv4PLlGzsgPBToqonZNlcy95NCu4yReaF4nSrAOa9g6lChJ0QEuDFGXguCXnqnlKgCdKElBWjOmAXprOFqfwD0PMb+Upefu1FtMk9amq85vFXxAuA5xnmZoztzmJvfnH3MscrxVFKbm11obu5027PNhOoqzifAHu2qPFZxrEpdC/hULRv0IDROy/pUUAs3E6SbM9trtV3bVv28WrkLVgmsYDzCXe3MtRK3TeoIZgWw3OP/n733/bXsPM/z/ot+yIcACRAY+WLUrgCrSIIGNewJBMKAZViI0JR2k8g/U4eCKtaEqQlVeUoMNcSI4BFGntFYGlukFdKmmBBsqmEEggNQisBYcZE0MRAURVwg7bcCCQq0X8TievZzvbrPO2vvc85wqENy3g8v1t5rr/Wu99daZ599Pff9/PrRD+zyZxt51dQjMODJHUh2vG2fdvWOxVBt99o1BzuwlzWuhTrtU92cgHr004ABHA46l3oFgkSQgdbn5pMfdvMdAGIAggr/mttWtzsW3hfmbXf8bVOmJrD/aeHPHAKxfW+wgU4LBn0Iy7lHKgAkgH0pxXt8nVvnwWAHg18cYwM4qJtxJaBGwE1ftfv3PNwsVJBjg/6VP3rt7c8fffntZ7/6h6VA//DHPjWCGqjD9VPq8J4bc6lTDMgRmM8pI7R6T0V55jzP19q5qzaf3ycoNxe6Nu6+9hmbEH2p0Nf/Fet/y7UG1hp4sNfAlnU7v6kqRErbdn5jTXA+K9BTfe5v60JlrcxnmGy+833wXIC+pT5PBbrg3tenBefCb+qe4bkAnUCArXznWyB9C54vIdT5r/NV1hhc+CGNwVpsa7G9ry3d+QO2D6KncpnCfv9Y8ofyrV/+mwOiDyvw2cJ9UpoL2rfsweec6DNEB6QKpfedpw08r72u57wTiH4iTN+wQJ/V9jkeh5TpCdQFxLk9TaEO66R+x88AhU079i179tPA9HtR8W+83wfQLVsgfZ8afX0RO//nzSprDN6Lf/tQnwvPKQLyLZg9W7nP8BwoKXBNgD5Dd1XVqajeuo4AHfBszupZZe5W2Ke9uzbgQnOhtbbQwmHbpZLdHN3W5zlaoQu+zb2ujXzaxGvLbf9RSgsiVXermFZJn4EAwkaDC1QWq5wXfKv+H2p7QG6DYgCpVtSCZICFeakdY3Niqy5Pe3frEn4L8m2n9aoY16q9bPQjz7r9SYhN/Sr02XIOx6r2VrFuUAP9oH7BcCnigavXd3bnabGv/beuA6qiBenVzlbDC9CF5qrphcuCZorpCsznDdDW0txx5nMAFQDd/N4cC4gVJHNt++46Y80Aj9mnNTznmhOdc4D1QmiDHLRJ57WBBFrNl/KdIIff+xdDWW5bDYJgzOwn9fCZQRec73rlOPrDcUBc3tNOr6GiXav5suRvBb4qfNeSgQicZzACbUtl/ejDtW/VOOtEQcAA4BBQBLACFnFcwe+vvlbgTeimrbt24cBCrdsFh8A27gv6rPOA9vX0T6cBlcMCuqyPgrodCCY0RSELRAOgo/LkHEBfKswLdt94sxS1XEfrdhXhjEnCcsaqoDUW3w0ltXUXVAP5tG7PXORC38xpzmvapN21ucoL6F56ZadkDqtwQS8Q02sLZlWgZ97ytHVXMS4AT4V3qtsTsnJtQWmd35bcpepty2vbpYW4wNj+Zz7xobxve/M5P7nQW8t3zgGol6q+1dGebx9SvT0CDXpsPU5YOgNxi303t7duBAY4CLatJ9XiAFpV1oJd1pLgfrZyN1+9du86CaQimzaxftmnO0K5BnTAA9fz/kk7+gxaMOCC8RtrtF0CXAtasxtckmtB2/UKfCCwqAMUWJfCctd2BgXYftedARMe5/xq926Ocs/jWUPdBLno5qCym8+HAv1zX6t7nnN57gCZUZ4D0HkuAdG596mLOukPY6ozRqZn4DPaQZ1la9+W8ABvri1EL+v4tmZnK1Cvc3u/AN3zec/rUs933nOV5oDzOQe6nydMV52+VOjn/919lTUGaw2sNXDevx3Mzp6H1Ocqz7VvN/+56nPhdarPAd6zfXu6jKZlu/D88Z/50NuUk9TnwnOvm22YQfoheE79XGfOe76lOj9JfW5fGdP1e+26v9cz/qEHbgzOvQGrrDE46xo4ZOmeID0huoU/vEah8QcUiP5//vePDCX6nJN8BuczRLcIu4XnwvAZoFtmNfq+9wnw74LHCbsnGLwPmJ9Klb4B0fdBa8HwPqB+1uK5x+pqAO04J8zfB/7PlOv8fpYNO/cE6c7/v/4nz/+/FKJAlxp9PQPX38G1Bk7zN2+f+nyG2ELpzG+eecuFyXlcHpNKdK2bBc5C9S2luyp4gSTgTStzLaGF8RbPA/AB3lP9LOBMSCxITxv3VGX7GTCtLLRb3S0sT3t1rcnLSr3bxrmAQQvXEyRqwZ7AH/Ao+NVOXJC+FTzg+DI21Kd1vNA6lfGOPWAu63JM7C/76RvgPy2tBZ+CZNXGWtZr7a79O2MGALYNwmbaBjRlPFVpe0xafAuZHccKYOjc7Lw3qKLG6fk7w9qez12L1imopo3maVdBr807xwpvWXeuCS3KhwX+1/+krg2o5Hjrps1cH0AKmEyXANpp/vXM+e46ox2MN0UobjAB1wPoGsSRTgxcn37yGa9tI/03OMHgBQMYXC/mXndt0C4t01Viu561elfN7j1Vue07KMG+sL4MMnD+DGowUMNivnbqpF/AMtvkvGKhDjwHopujGNADqAJwscXaHUDF58Iq4BOvVe1StOkGorMfiMg16bfwvNbQc28VRKMAjGmLKmFBpCpcgWupSD+7A5hlpf3bN0cOdPaz5itf+tOvFpzj/mBL/awx+lnw8iv/rNYA41FuC5deGPboHMuzUMW3edNVfg9wiIIZ8Ehe9ICbCT1V5wpaPa+A7qUdrBY8Vp74Bpy0YVYnC1tpkwEAqTxPu3PVvmWj35BYUK86XJWyVvcqy81lbv55857rPCAgZb/g2Os5hqk6T7g+5zH3c84RfKtqFjanrTtt1Yq+AiQuvzSgqXDfMXV8KjXAky/XeQYLCOFTPS/AL5A65T233jkPumC+cr23Zb8OADX/T79ac5A5zVXzC57T5n5A385p79xafyr+DbowXz39rfY9s3MwMAAgHRR0PLCvOb4GG6har7Z0wEfmVed9Bcz0fKSFewZ25P2QlvxCfV0nuJdN0WC+86qnITfrgvueex3gzHE8i7Bwr+CZX3u26kp7/UpTS4kh9QAAIABJREFU8LndujLQx/VhXniuyTNK5XmqzI8pz/s+UF2uTbuKc9XoWrdTqFeLdnOh//QvPlb7OBawTkkb96VCX/9TrP8r1xpYa+DBWwOCa1NiKjpTnKT6nN+q+T1SgK5te4Jzlefat6fSG7DN7+nat6s+B5b7m0WqzjPf+QzPzX0u1AbMU1IYJyjPdmyp0BOeqyqnbiH9rDxXfZ7QfAbotEvlOazBvtLH857vVdYYrDXw0A99DNagrxvvfR1Rd8jS3T+8/LFNNTpb9vNH9Bs//1MF0fkjzJcEou/SHnxfDvOtkgCeLyXm5054zucq0VPpvqk434DoW58dhManyel9D4r0LRV+BggAvrfAehb6z9b663Vs7xrrLUC+pSg/SYF+j3D8UPBBzaXbEyD6DNLpL19oZzX6sgQ6/2fNKmsM3uvW7XPu8wTcs5J8hu2zOn22dJ/hu+/T5n0LpPMa8ARwAm4J4AXCgmLhOccIflVol6K5gSXHe+3Zbl6wX0AYK+1Wr6tW5r0AUSioxblwEPiWYJrPSkUcSuxUE6fqXMhPn82Tbu5oIbUF6Gcud4MC6Fcq2h0j6k+gLGT2fME07WfsBN4q84Wpqp/N+a0lPm3xOPpA3Qm9Aa/m9hakWpf24qmsd+xslyDWsaeNBVwbMGfucuric9tiUITW58JzITZ9sM/mNHfcVb5zHvXzms/NF661u44CHMNapVTAxbVvVfGawGX2a+XOPlXaAnRzqPO5wRKqw00nwD76zz7mqBT2rSZ3TaeFvUEY7OM82mBwhukFmDPguUECnqPNu2OnwhwgXPbvcY4qe1MEGEBgO8zFXsEYDdgrgOD3/kXBXm3TKbQPxTlQnPznWKQDz7U4BhwBw4GUqs+B5gAqjmFbCs7OQ8zxqEZVZALzVNFnKgVANm1kC0BjLoBp5llWWWtO6QJujx+9ffufvlbXBIYCyoBZQDQAOoCMfYyVEJ26C3Q/9crOgp4c3s+8WuPANVWBm1OcOlQEZ25t6tT6W+U2bWOeGU/O135adbJgWsiqrbXwFkguPBxAtPNPW19au6tCFyAnAB4q4cg3LageauWA5wJ3zhEQp7q5coO3FXopgp/Zqc25tgBamJ7XGoECoeI2Xzn9cTwFtENpTt87L7h9UM1PHQYOpKW8avmySm/FcdrIey0B+zwHqcp3P/OhSlk1OwEitkM1dTocpOW8xxXwbrDM/TPyoLcS3ONUtY+gg8hVn3PH59q5Z953gyuox3l0Lm2fgRLsZ43zN4J+GjQgPOeeEWjTb4MudCKgHwamCMaF4cMav6/teKpQtw7aCszmOaK6n2cA9fE8MT88feU9zxJBtmpu7nXOAaD/5Y/82s6K/XNfG8E8quu5hvehDgs1h194eTzbhPTDkr5BecJy1ebmRE9oTvs8FgDOe4qQHOX5w3//H3yfdgvMtXO3pJV75kLHyn3lQl//z5z3/zOrrDFYa+Dd/71gC5yjPBeez79LqzyfIXrC8wTXCadTkQ0sB5r72/ysOk94Tjn6G//Z92f1eQLttG4/ycJ9S3Uu/E54nsrzBOf7zk/lecJz+rjU5+t5tp5nDz2QY3DuDVhljcH9huizfUuq0f0S4Gv+KG5B9IThW1br+6BugnBzq6dyegaoW0B8M/95fzag+z5wPG/vUam+N0/4lAs+4fmck3wevy2oPHLO71G332Wpf5LK/LTW7fcIzve93hq7LYB+WjX6bOm+npPrObnWwIO5BvZZtydAn4G4qnKh9lY+c4+fAbnnJ7AGsCW4nvOiey0gnDbuKFEBl9qFC7sFn15HSCwAVtktoDYH9xwIIIAG+qW6XIhtuwWvw3L9638yAKP25NqXa3duvm6PVUGtkjvVweaPVsmdsLwgo/bY3R/hOeeYe5z3BX5bEW4djk3mtlb9Ljy2mBNeiOp8MQe0IQMKDDbIeoW6qpYLVLdK2fGmH9RXUL0t1RPWmwO9rNevfatem1dbRTyFdtAm6jBHt44DBiQIyg10EJKyr6zCe4xUvmeu9sw5LiRXVe65zK+gmHYAlwGYXEdFvSpuFdpV57VvVR2Ac8aJ/ea8dn1xvgrpY4EaX/+T4YygK4KBJZ6jdb1APdvNsa4j17zjxzHa15uTXgcCLfMrqOG5t8Za0wVBlwYDJVwnjnfljn/+zrHgiaFSb3t7XnNtxpF7HIAOTFdh+6GP/9bbf+mjv1kgjLEDsAGUgIMFxxpAAae0MkZ5qf03sKyg8pMvjz5W/6/tgjzMv17jcfmlAntauAO7yGvOluOB6dRH+1SoassMQP+xn31kqG05nroAe5XP+dJOeY3SvWA9UP3ad3YW0td29vbmwwa2JrT0Ne0DvKnCHQC580NnLm/h97H85ZdeqX3AUZX1tFXAn8emrbjQmb4IVrW09xjqE+hrs26O+MzNLcxMy3nHsVTLUy5v5mHkbO8ghLJBf2YHJgXu5voe7e81kSBbdbbQN+GvqnfheSrxU+WdOb6Hsrr7ZGCEY5Xq+nyf1/ZcryOEBuoOO/SG0qmeLhvzBslapptuQFAugNfO3fHSAt0AAt4z/qnYd5xyDWUO+wxSMBACwFtrqW3YSzFPsMSTx/O1GyziejcohGO4v9nPOqdPBixwn9gW1jrFQAWONXDDwIgMPnFNlsKb8bp4q/pba+7KiwW5VY5r+Q6AZvx4ltTzpKE18BnbdkAzCnRe/5WP/mo9d2gj9VBM4+C6pE+03+cSn2njbq50VeYeIyTn+cJrrdwF6uwTkhswxOtZeQ48F6C7z6Kd+/w6c6F/7FcfvwLgmPPTrrLGYK2BtQbWGvjgpDg1HSbQnPIvbz75p4Bz4bkAnd9ptW8HnFMy73nC88x/LmRWfW4+8CwJzgHYwHOAecLztG9P9fmc+3wG5rNtu/nYZwBOndS9Bc9n6/ZDtu0GCiQ8X39Hz3/dr7LG4MI5jcFafGvxfSBsaraU6PlHcV9udL4QqETnj7YQnS8PWyB9zoG+BblngD7bjidIT+W2x6Qd/F3XOZST+xAwPgnSnwTQN+qbreszR7lK+7S4T8V5bSfFdtZ7Yp7zfWr00wD0+6A4PzQPqtH3QfR9wRSq0Zel+/k/W1ZZY/B+Up/PoHyG5ifB9FSaz/UJSc2BntbwmQtdS3be2z5V0wJogaqKV0CbYB2wpzpZm3WBtLbp2RdeC65VzwJKeQ1sVNGsXbVqbduvIlvoChjUhh3ACeSjHtXhwkRfc76Qe+Q073oci1T7qthOMMt7bdkNGjDvtwpg9tEX+qYaXJWzgQeepz172ZKH/beqYdoM4LM9CfuFvQJXAw+4pnOp5TcQWDty59hc2xwvuLc9tN1x0UbecaTtwE/7nbbrwlwt1NNmX5V/wfdWZBtsYD5wrgkQF0rTZlXZnFew8+rtAepVsmvdTmGf9vXmRmfreaXGvvatgu+Mo2vY+dJNgf2C7ZqHztWto4Aqb9fhHCBB22ud9H1iwETmK9c63nOF6tq/c56wu8A5jg033twp9XstuG49jzpQV6uwBygxH9qnM76q1M3BzlwQRENbKOYbR1n5Fz/xA6U5UPuYPXODUQCSeX8LPH3h5R1QbhU2cA51O+0uZTD34o03qy3AbvYxH9qaozKlJNCl0BYKsBJYlgp02lQq8qd2qvJ6jb36pVcKpHMdP+dZ4edlid8QV0hs/4S8qagVEta+trgWMALgVZELv7m2FuDCXq27C24KNNtinXNpK9dX1Zy5qzP/d9pj83nmM6/c661CNpd6tS/yomszznhlPexnDr3GnCNcCF32+qjQe9zS7ttAiFQiC+MdR/syLNobaFuPn6VaXKW+9uyV276h+rBGv/zSyCPvWJn3PMef47SPtzBG1kGdwFMV5UJWVc2q+oXc9I+1WQD2czvbdver2tbG3rkkWKXUz/2ZNumOSdnKxz2gC0FakTsuwvyRM73vJ8E/zwTXw3AreOqVAtqsuQLRN9tVoe3xKwiFtrRVvGtEm3TX/3AcCCW6UNz1MOav2629Os8MgmQspoBwy/NIgP7Ixc+//YXnbpcC/Sc+8vAurcOTL1d99IN1bxCGgRbmQXduGTuDfBLy0yeV6Nr1C9QF7qlIV4VuPnSV6DMcV2HO59q3z9btlFK5e95SoZ/79/lV1hisNbDWwLsNzhOaUwqI/+Pf/femE90Hz7VtF57Puc8Tnmf+81SgWxKcU4Dllv/2b/z420/8p39+M/d55j0Xnu+D6DM034LnW/UnNJ+t22f7dvs3K88XPF/38XqWP/RAj8G5N2CVNQb36wsEoGELos8gPS3dLfxhBaTzx/Tf3nhsQHS+VGjrrpp8U4W+oUSfjxlK60lRLnwWOu+1br+PVuyH2nmX6nwfUJ/q2FKf+/qYmrzbJkS/q/4NYH4qoL6ltN+npH+3cqCfQok+w/Q//t73NtXos6W7avSlSF/PzPV388FYA9zrqs8LoE/qc2F32qcfUptnjnMt1BOgp2279uJarqt83qdcF5wDzvjhvJRboR5XdV3K46//qwHZbYfgTqBuvaqB89rWp10574WC2sEL0I/l425lL9cXWnIMP/BrFc9nADHaWerz594a11GtrlpbAJr1sc/3HDcgfuQi16Jd5bhBA4JxITntEKhqUy84T9t0ATrgV3Wu1vSAX/tXdt5Xbw97+VSuqz7X0lu7chXKCcWp1zUiMM/+0QZBucEEtEErec5nzhLSU4cg1nnxc1XjmWe9xqmV49TnGAG4eU87hLsGCZiTXJgMGDFggq3qc47PsdfGXZU27xlrc8RzPWAS+yiOrQp36hRsa2Mv9NWVgH5yrjb5zrPQ27lyXIHHKu+1Zqctrg3brHpepwQDJLRAH3nU2ynAnPRawlOHAQQ1f9iVH31z2O8zZqXGvv7GuP+A2zwHWIdCY1WeQHPU7IAqQJkw0eMAaloZ/9Tf/WwBMJXAjgltrvv45p0dyG7Yz/wWkGvIbd5u7dsBaIJa4BJt4LOC+p0XGYBOG0ce8bZjLzDeKtyyar+263cdc/R6BVEI0vksVfCqtOkD0I39gj9zkdNeYV1aRdf55EZvZTltKDcGcsU3vFaxTRsEnxxfNvatmE8FuoEEgLqyD2+LcxX+CUsFt6rOzQFOHaqLMxd4qt7tH8cyVirctUPnGtQheBZQp6W4luDmxRYKC2w9z3zZxyy/A7ymqj3rLcV/W74L4pkL7dSHVXzn504Ib37vbLNt0Z1ANb7BH+V0gO33Z3bq5ALwnQ89863zWeWcjzzbBgKoOE91vwr1qrMt6BOyC8EFuirGHSvBfI1zfG6gAnNlUX3OOqx573mk3axv7m/GTxt36idlg44Mrn2dAnQL4DNV9fQ5lfQ+H3g9gHXXlakDVIrrMkGhb9zT7CM4hufLhz/2qbf/hy++UKputgT0/MhP/kI9dwbgv3irXpfDyKUXau4MEiDgxrnUUcB5AooL0Q38EKKbH51nkU4DHK/inDbyOhXkqToH/NMHXvMM4/UM0NkvSBeib6nQ1/+S5/8df5U1BmsNrDVwL78NzDbtCc4ViVEA5zM8F5xTtG1P5blb3VoTnmvdLmBmy+/tQHO2gHOg9QzPAeYW9/G5cJuS1u1b9u1b6vNDtu2zdfs+1fl8fqrUt+D5+tu57tn13H7ogR6Dc2/AKmsM7rcanS8TRsAlRPePZKrR086dP9z8oVWJDkgXogvShekC4lPlId9T0ro8lchb1u6C9GP1vhOwuyePeSrG9wL12J99OATR08b9RDX9CTD9JFB+zBL+JPX5tO/MqvPTBi6cIi86RYBuXnS+DK/c6OsZuf5OPnhr4CT1+QzNt3Kab+VAT/g9K9Azp7jAVuCrDblKcOBa1k17gGe3//n/VrAQoJaKVKGxFt2COtvk52lRLRhW/W6fbb9gXeW5yl0V6FxfyJv5ue2r1uIqo61Pa+5h290AuVTSN94cqnOuo+24tvG0xZzizJV9EUiqaKcfqoq1tOd41cXajNuHtHIXsAOLea/Knzlyn+MKsDU3N20UpKqK1kKc8wF/XNO5SXCrYwDHsN/15PV5LYTV7j0V1CrhgZ5ck2sLpbXPHyrzzjFvEAOf0XfXo9BamK/NPuNJGzmXfWUT3u3NY1SBq1IHhAneDRhgHIA/2pYLzw3K4HPApk4IOg1Ql2pw14LXTScA5zadCcyvbtCIedfnNALuczwr/3vneqd+toytwQojp3nY5Dt+wC4V67TRQBBBPMcaLKAtPONqPnfAGO91JaD/PAOwcGfL/gJkjx/t1J0Xb9U5ArNhJ/3pGwUcC5x1HmLOA3YBr7Bbr0ABAlQCoAPvGIsKZLl5Z6eajdzV1AcgF7RagPNf+aPXCi4B1+gDcAuA/qN/61JdG+irSt+UB8w5QI33tAnFKwDd63IO8FCILXTXmh3oyGfCbq3YE8iyFdjSDpXuwmnGHXgn+KQO0whou11j0OpsrdZT9S6sBBwCTQF32sanpXwqmGkP7VaFqwJdi2vVzYJnAwZUawtjVRYLwfN6quC9hsBY2Cokr/Y/8+pQJKuKLvvuzruuLfoI0Ojc6Y6LTgW0k3lk3fk5+8zT7pilfbmOA1yb6wzQHI4DrCnt4IXprH3t0avtHSjB9c1LzvWYX4EsYFV7eoMJ/Ew7ce3PheiZY97PzdlddT39g7FjP/Nf9v1dvypvldXDOl/re4KyvvhqrXfXufOnOwN98D6sQIJW+2fOe+v2OVCBMm3L7v1L4Vpa2Xse12Xdu/7oD/eXbRaaswVUc1/zGugMiEZ9Tl5x7mMU6D/+0C8XVGd+aKOOB46j61tgz71jEAn9Mve6KShKYf65nSLd/OhaubPVXh7IrTI+rdxVn1N++hcfqzaTCoPPeZ6qpE/gzv5Unvu66ppU6EtFd/7f81dZY7DWwFoD70Rxbn5z1eZCc4F5loTn/rbt79wzPE/r9oTnM3RWpU3RLl1wntbtuS/h9qwO35f7/CTVebbn2q88NOrXHj6vkUEA+yD6Up6v+3I9m9cauLBnDNbiWIvjA7UGVKITYU20mBCdP4T+AU2IPqvR+UwluhBdNXoq0gXpsyL9oKL7EEhvIHxakD6U6u9EVT1Zps9K8pPyve8D15kTXWW99Y2+3gOAzjYkiN/KC39s30kW+HuKMH3eHjp2bx8OKNIToKtGB6Lf/qevvQ1EP6RGP+/7bZU1BmsNvLv/JA/1+YZ9eyq1M3f5DNBnpblAes5rrurcegTSqlUTqqciXBW87TEvNj9uA50Eo4I5IKfXs37bZx5nFc7Dujpgu2BRUGodKF/Lrrqtt1Vom3tbECkUzj6mWl6gaY51oW6pk1thrt21CuphUX/zzrE83iqwDQZwDFSJG1xgTmuBM9BSuKwtuBDcsVShrYW8cJy+mANe9bmKdIMGhLQq/zMXvQDcsdNSX2t05ob5ZrxdB/Rj2Kd3W0a++D6ncmm/8N1qQ9mq95h6nrb27Ncqnv1sDR7IYAJdABwDc53bR+riXPN2q7TWet1c6RbqAk469ow5IHrYrl/bqaxVvWt/XrbunZudwBGV+wJxc5tTSq3c68kgBcbOoBX7YqAHY1+K8Jh3x43X2t8DrbS4V2nu/ZrW+DoFCMUN/NBVIANFGGcBOrCQtle/vvDNYZFu3m+uA0ikHtYFAB0VOspzABJwiRzoADDGSTiqCl2LZEAXUMkc0JwLPAOMaZ3P3NM328GWa7JGUYZyPOCK4ADhoACd61A3EI22AboAYAI6FegCWuo2v3pZVreynzYA3pj/tP4GMFc7G1qrPheUUjiW+aJoYa0KXSVzqpHNxa76VZt24ah55akXoKnqnLFStTyAeINAxoPXQEBVyCrTBfAqg1NdrkuAyneV4tTJXNEHLemZT8Cwam9V80DHyqt+/Y1xTS28VVcL2QWpHqeNvbCX+lkbgl+h8EgJYH7vzl2typ46KjDg0k6pr1Jc9b3K8MzbLiCv+Wnrcq7F3Og0oALez1SdA9NtU81fQ3+DLlSaO85agANdVSs7jsOSvefCscg1IdB2HlN5LrQ2SIBzvEd0aajAD1T5F28N1wCDEXRFoE/UwWf017XsmJa7QLsFOD6OkYrtsu1PBXfkEuee9Nmh2t6xUNGte4AguwJXGrxzHydEpwDRKcBzHDGA0DwnUHn/J3/1vy64TZ/oj2DcwBTaYxCDanIhuq4K2rQnPK+5BJpjUf/oMwW5ee5QBN417q0cp01Acd8T7ENhH1vBuMCd9/RHUK76fEuFDkRfKvT1f9v6v22tgbUG3r8pS1N1fpLi3JL7ZoAuON/Kfc5v4QmuE0DzXgfXGZ4nNN+C6MJzzlXxnfnM07p9LvuU55RUvyeg35f7fN63z7Z9/eZ6/vfBKmsMLrxHxuDcG7DKGoN344tG5kVPiP6Vx/7O92eIPhf+aPPlQAuZBOlp7Z727lsw/TTwfB+EFqQbMTir3Y9B9Bncn/Z6G9bpmc987tPe3OQbivE5j3vWlyCbH1kPwumT+nCW3Oc/TAv3uJagfJ5n88Jv5UMHpKtGF6TzRTkh+lIPrGfn+vv5wYbnW+pzAXrasKvgTpX2DLeFY1kSeAvXfS/AVkEtVN+C5yhNzVnOe0EyYI2tilu2QBMVzNQP/BBcC8YBeF5TkKhKW+gtFBQwqpSnHUC8VJ0L0FUYC7VVM5sz3L5mnbwX0gu3K7d5g1jBLMcB2sz7nTmlBdXmuTYXvKpfr6NNuXBcJbqqZFXg2Q6upUJadbr5w83BroqeObD/XmsokhvQU79tcPwBxFr4034+Twt+XgMStfXWDl8rcIMADB4QMLvmnHOt92kvddpO1wznObb0T9t063Nchk1+507nc+uw31qfc6w577WZ186eNqnmFpZzPaCtivXKH24O8obcBgBwrG1wrRpwUdb+N94c6nidEPicdeR6THW4Y2QggWuncrn3+Ooe4JpLCE+/VOBrUe99RJscX9tvGgbHhPZqSy4oBaQ554BAoJMKdL7HkF8YgAhQ0hpd2KQiWMtrlbLCL4Ej5zMmPh+4Vo3RjTdrbphb1id9pw3mG07FqoAQoCegVzVNP1EGcx0AOpBK+Kr9ONfTFl176npuAMyvfWu4EPBZBdF84Zu7fOWtMjc/dQG4zpWuglaoaFACClaAHnCtFNhc79oOnBfwbDiq7bdwWJirurrUxW05n3bkKnYF0gLZzGWualsFscC81Ouof1uhrFp7wPywzx/Q3fzsXT8gsvJH0+/O+857YLHwHyhqkMWw6W44yvi5bhw7IadKba21tSZ3vfFe2CsgT6htG2kv867SmyAJ4biOAlqIZz55IapW58LrAWMb9JcN+m/fHMpwAxe4D8z17X2DOjmV4NY7bMpbzW2QhfuyvYLxCiQBQIe9fgYoGHxgPbRJ+3SPZfwcH6G+4Nw5ZwxMgeA6ZJ/np0W81uzecyPQoINqmANzmdMewLFW6CjGDfKgTarnPT6V6CrQ/9xP/70CzvxvBVgmEIZ7DYDOvedcfu7LO+eAcpS4slu3Bg1odW/ABmueOa757Nz2gnPqVHVOe1SKC9CF6KjJKWnDrgKdZ5JAnPco51WeW4fHb0F0t1q5LxX6+X/XX2WNwVoDaw2c5TeBQ3btW+Dc3xR9n9B8VpxbMu/5nPNceD7nQRegp237bN+eUF3YPsNt6014nrnQUwW/BdD3wfOtMoPzLAuer/tyPZvXGrhwYAzWAlkL5AP/hUOIrsWMEH22dPfLQlrVWBKkzznSE6TfiwJ9HxhOiO4XoVmRvhdmTxD3LvV4lLvU2gHoDQ4Q4icY32zLdB3B8Gzl/o4g9inH736A831g/zSq9K22OtZuhegJ0tOBQDv3fRB9RUSe/7NmlTUG93sNaN0+q89RTFKA1ILkVJjP+dAToAsrPU8F9tZ7AbqwUdguiGM7518XsPMeRRc/NPODM3BPFSuACOBVYLGt2gXvwj7OBUryo7ZQXSW3ymeOF9hq4V7l+Ts76N+20sD5AvRffW0UjlHxWwpSrvf8nQF9hfVCfdoHRBXoC74Fz8BPx3XOsy4ANue0SnpBK/UK6lWss08bd3OqzwBa0KrSnboYZ63aBcXaxAuZ2VK/7TLfe1mBt73+CDxo+M17YLGKfK3VBeqMJWMkdBbga3Nv/m1hMcc5Vq5f15ljJOg1F7v1CqJ9reV8Bg3YN85XTW6AwQDjrYCvNAMdWKDCXVhuwALzqyJdJwFAu/by2vgbIKGFvXbtgnTHgnMMQmDN2jbPoT4V66YVUFVO3dr12zbdE2iPOeddw7TT9WV+dT7X3t25oV4DXBgzrsX4MT6MMfeQaQ2q721jLizlc9YIAAlIjPIciI4qHJUnKk2BESCL4wCZ2karBgY+8cwQAgPFgG3cnyrtCzxfvV194rWuAN4XFQiAvXZbU1OPdvDmQi8g++gz1R6uC/AWogHQ/9ovPjEUv1qrGwxkjnH6qRofUMjYMF4cC1wTppszXEXuJ/s98NG84AYllHL48aMCXb/xyf9upyrtfMplK31pB8q1dGdshH3aTKv4HRboraCtXPM9phyjcli7+6HWbivqVBurBtaGXkW7ymzapo25amUhv2ps816n3bt50NOKXiBLnxljj9PaWwWwwQ323Rzjwl/OFxinOjzzoAteBfGCeue45qr7K7TOPO0qoxkXlfGz1beBDe6nT0JX3QiE1rWv509VPuCV4AkDS9hP20q53YBbiO84eX3GlLblfGYaA+4H19AxtX2o3Jkfc3nrHuD65Tq8L2eByD8/AHmr1DlmBGhceuWYMl5Vv+OVARcFwNuO31zmqtZVeRtEkukDHDdcJngPlOaexgFDJTpA+fNHX65AFcYX8IyFO88qnj+MGwCd+XKu2FIvc2QwjGNjuoPM6S5Ep04t3YHpAnLudS3fzYHOZ7Rp2K6HhTvQPPcLytPKPXOhJzynTsqcC53vmut/mPU/zFoDaw2sNfDeXANb8BxwnvD8//rHv/vvLfxiTfrrAAAgAElEQVRezDZ/P86c58JzRWEzRE/rdn73Tmg9W58nPJ/V5/vgeeYln9XnWQTmJynOLcBy25GA3vzngvoZns/vzee+lOfnv/ZXWWNw4T06BufegFXWGLybayCV6FixpBI9vwRY8g/1bOkiRN8H0k/Kj75lNX4SBBaspv2OIP0uZfMhS/c99e/NfT4pyee85gL104D0WWF9GoB+UJF+Lwr1Axbu9y3v+VnAf4zTVi70BOgW7dzNi76U6OvZuf5+fjDXwFbuc+E5Je3bheOzZXsC9FSVp2V7QnVAXVq3e45wU7gsnEs4LwT3mqhO+fGZH9YBc0LOsjYm93Srs9NyXtt2zgVmkZ84c7R7fRXPHEPxHAsgy+sXmP7qa/Wa4jEAQ+qnuC+V5m4rGOCF7xao05JcUFmWydd31tXUJ9T2fFXD9FOrdWGorwXoad0NAARWWocW5arEvYZzI3gXkAtyaTPjU/39+p8U+AS0cqx29cJ9r8VxvFchLcQXCgt5OY+6VfEzP4JoznFehOgqp9MBwAAKxpfXAEfPtw+Oh7DUNlMPQNW2eJxqdvYVcH3urZHrXJhs8ILW7qryWYPakWvX7vwJmnV8MFhBdwVeM5ccR73Cds53v0pvUwKo9qc9rCMDMwx+MPWB1veZFsD7UZt17yfTGviZ6nbXretHtXQGFAj8U8VPnQWEW30uZBegF4gF9H9xl9sZEMUWgE4RoJNfWFhkbu5Sz4aCt8BhF9pZsPbirR0YPnq92gu0A9QC2hxn1o/r0BzwpQhH0Qyca2CndbsqZNpCYCIwkrXCcxU1qwCdzwV+9BXQKVhTMU+byr6/bdsZa9paUJ3AoS98s9rPs0KALJgVuqoQZ1uK5Iufr8KYsa19QLvLLw3FL+eXArbV7ToCaA1Pe4SWqquF5Yyf0Nx87QJl4aX5181ZrWW8sFUwrCq97Nh7XlRDC6aFpWljL7yn7sr33sEOAnnAI8ewnuhLqrZVbtsHAfxsT+91tfPO/O+CcutTQT1A9NXbw+addVRW5JOlvpbmBgs4H0J8c8Y77xyXsLc+a3W34JV2Om5atNNX0xgYTKA1vOM8ggnaot3c9MJw55c5MoDEdaMiP/PQZ75zPtNKvRwH+vqAceYHOJw27qr32QqhOS5zyqtkL0V5j7ljZnDEWDsdJCBEx6VAa3nu0TEHvRYptA1YzbEVdPDolwqmC9BRopNLHCDNPgNXUKBTry4TWu8T8GGACvei6QW8n3nmOa68d5zMIa9anjalbbvPRPOeuy9V5hRfq0IXoJsHXYCe4JzPMy868JygHAA6BYCuCv28v++ussZgrYG1BtYaOAzPM9f5DM5TfZ7wHAEO2//vn+x+Q1Z9LjwHkgvRZ4CuoExoLuh2y34AtUD8rHnPBduzJfz8W3zmXc/f5BOAU06C57P6PIE6TICS1u0EmC2nz/VcWs+ltQYubIzBWhhrYTwwedH5ArKlRt8C6QnR+QPrH/0tkH7I2v0dK9L35EV334DXM0A/CeJmWyYb+C2rdqG5Zev9DNK1o/f8u9q90dZTw+xTgvTRhvto3/6OgPuU8972bUH0LZC+lRd95UQ//2fMKmsM7ncKEtTnW9btqs0ToPOaz4Xl8zaBeSrMfa3KXIWx11DVqxrZXN1auGfuc+Ei71GkAs8AEcAjwJvQUeWztudaV6s4Nhc31xOu0zfhuUpwbdiFiamOBwDywzcgWkWvttRAL+pK9blgU/W2qnIBsjbWQmKBqrbXwLPKG93KZ/ujGt182wJx6qVfgl/bbL9VWnOuwQnORarbcy6E/KrVmYO0VdeSndcCcsd62KLfvDPgbc65wFyAzpb3jCnXdE4YJx0E7I9ttb98pprdHONa2Ku8Byw7D+atF5TyOcDZoALV93xOu1VRs895UzGeecTNUQ7Ac65YrwZ5MH7az1Nfjgl1Ah851mAE2sUxBVDbmUBbfwG6Kmpeu95oE58zByrPR776Dq7gMy39DYBw/SVcN7jA67l+6x7uuao5euG7I5e368U0Afa5rt8BCKx5jnUsS8H+1C7/OfcZkFOgBnRSgY5Kk/UAOALUAa+Em2zTWhv4BODTvaLswoG75FlvMFyOAde+tQtC6LF3fdN/tsAvjiulM5CxFazCWZWvACfaKGinHuAYAB2oBqwbttvkfwfuH70+1OdsWQOmqqCNZVl99HrtL9AeqlzqoK8C7grU6Hqpi2P4TMUqMB+Ibo5lzqVfAuOCfK0mV+GuVTjPPLZCYdol4BOmUif3cKVBaGW1W+t3Xgp8H70+gLSwN6G2ebfTlttjK0d3K7yF/xTrZ7wYU6Gv7aj6e3wSkgum7ZPBFiq42cc1R/7zVsbzt8g83AJiVdRarmurX5D36u0R8CBULpv0p3dqfGG6AL3s+MMGXkW3UFn1+HBH6DYLlLlPtAB3DHxt0EZB9k5DkHOWKmnt3nVRSGW/Cm7n0IAS+6flvAEY1GWghfdqQfG438u+HNv6VvpzT5lH3sACob4pBJwXAxGsWwt8gbtrqdZGw/NUnxuUoOMNAS20nfNRdKfFPdBcgM79z/0FlK5n1KNPvf2XP/JrdQ3dBAxG4F40+MJgFp8Nzp1rh/YwLuUacPlrBczNi5627cByCtcTogvPgd2qzikCdNXoAHLeC9BnsA6MT0ivEt26VaF/9BO/+RsLEqz/Xdb/r2sNrDXw3hWAqTrndz/g+El27XPJHOiqzwHkCsF4nTnU07o94XmW/G18C5Jv2biflJd8VrrPYrYE3wnOE55vAXoK7y3zuZY57znjv1w+z/8+WGWNwYX34BicewNWWWPww4ToqUZPkJ6RbTNE54uEuVUos6U78HwLpO9VpJ81p3dAdMGq6nPB65ms0Q8ptDcs2HM75zTX3j1t3vdBdNvpF7q7LOfvFaTP5dDn7wI4PzP0D7A/XATi9ZaV+z6QLkQnOGR92VvP0vX39IMBz2f1uRA5leWpOBeMC8z9zNznCcW3FOgCPI5Rbayqc4bW7vN6QCi2gDfO533ZIT/9agELVc7YtwvPtW43v/NsD68iXbW5EFFVc4Jl4avQeUDfG28O5TE/qgMbVQarfOa9+dGFqkJslcLu0+ZeK2wBt0CWrTbbgkkhshbbAFSBsmCadqh+Fy6bv5z2A5NVtSd4FaqrSPd6gtAMLBDwFry98Wa1Y4x524Kbt14ITz22BSBnsAD94L0uCNRJsIT9sZ1pO6/KXPeCUpy3FTzXN9+513ZsHTeOEfgX7DbXeAN42s35qsEF/boeVP7y53fBAdTP9QTiQnfnjmsCjBwDFeTaxqteB0ryufb21sX64DVgks/MZy7cdpvzaW577wE/Y9zYnyp0xyot82mXbfOeUI0uFGfc6CfjpVuB86n63C3jRV+8R4C9KDAZZ/plDmrucfoHrCogfOmFuvdVn5vP2fzDbIVoqlXL4rwBGnWjBKcO6hNqMo5cU4BsznXa6XNgpAPoe55jy/Y8rK0L6gLRP72zggYEmuMaGAb8+pGf/IUCbYBEgDagVGityhtYpxqeLW1zW885VNMEY7R6mr4K2AGA9boBOq8FxCrROQfQBuCrvNHW1TnDeV9wHCVu50jXEUAFPueluj+DB9hHgIiqZvqjQp86AZAqqWtuAP2XXxqgOnOjJ0QXgNZcNrRXlT7yRndAQine2x3AXPFp6S1c1wpfGGs/VHirhh4W4KyZhr22X9v2CvroeTD3+Mib3Vb0gHwDO3QyGNC9c6GnvXkFKBCso6q+gwC0sE+re0Frje+VF2v9FQAG+l+8VTCafeUS8Okb4zjzoxtQYEBABjTYJo5TNZ/53lnnXCtzjbOP+tmvxbv2+am6p5+s73RRoB0GdlRQQPdPsCw017GhjkHZf/HWCOzIdAHen7TL9qTd/AD/j35pFyjSUBqQzrzVfdIAmzHkMwCyEJ3nTz2D2sodsPzCP3y+ADT9ADID0A380KKd9gLQDXxwbGkvz9JSvF/bPadU0nsPCft1kaCt5jYXpAPyy+2iQTeAmy0QfAbmQvTMkc5x1JE503kvjN/KhV7H/dJvfTdV6AsUnP/3/1XWGKw1sNaAvwOkZbvwfAbn+6D5XPg9mt+l/Z1acO4WcA5En3Ofm8ZUcC70Vn2+D5xvqc+/8fM/dQyez2ryWYU+K9/3ge8C57/y0DHluddIcH5Iib7g+brv1rN3rYELZxiDtWDWgnng8qLzz6Jq9ATp+Qd9y0aGYq4Xlehpf+MXEyH6DNLvsnU/pJreUFGzTfV25tNO8Fr73w378Q0QngB9K1hgBvAzhD8E0d9RW/fVecbrbMHxrfznB3Oip/r9QDkJpPtleR9EV4l+3vfZKmsM1hp4Z3ZtqT7fsmNPeJ426CrTZ4CeSnNzd+c+FdHWLyAX6AmntFLP63sOUFCAzo/PQJGCmw34eK2FuJCP+gFwvjbnuYp787KndbttVvkuUBeOmkOb62hJLRC0L0JLwXRaqSdYT+trjxeIqwjnekCzChZo9XIp3RsYq25WSQ1sEWhrVy5U1eqdY4WiBjeo2s+c8ZkfnLr4nOsLTgWvwmaBthbq1OO40c6hiu7+CrqHer9fq8ougP7cW6MvCfJV6QvfmX9hfYJbxpv9WpjbT8dZgM3xqrRV/KvsL7vsHjvzmhssUHPVampe20deA6etW+t0tgX/nv32sMgvCN39ZlyA8eZUN8+5gF6Azvh4XAZZCLM51yCFDFIZNvQ33hzzY/CG8F/HAsdMRb7r3dcq9HUZoA7mQXhewS1Xbw/nAa7JeDsOgGjGFljGGi/ge+2NAcD5nP0qMQGOpAz4d3/2Z/UcoP+AN6EXUIzxN5d4qcm/vIOj2nnrDFGQ7vJLw0a5FNwNcrVON6iI/jGXtJ31JOxTha5qWSBIAaxVXueLt2q+Acq0BRtnAfqwm+baT71SfeW5BuB0bfFeaF4BH0+9cszCXYidW/tbMLxVzILeApFXb9e1CVLQHr0gb1vnmyNeyJ+AuNwWGhQL3HltMIGgVRALlGTcfA3YAwhWGxt8jkCHnmeBuJBTpbbwUUDNeCfoFTLbDuGsynReq0zXSnyomLstwtqRa7oV54yXY2VARM1vw2Lro221/iK/uyp94Khqa45l/hgLAbr27q4jrlmBC0ev17m2VdiaedPNVW6u+OrPlRd3gQ4Xb9UxtNc87wJt6iv1MgEKHQCiBbt2+8JnrycAz6AJgiP4XDU61x25xNtm3HnyXvGaBmCkfb/OBPSVvjMO5v424IHxowzw33Xk/HvdDAYQRKscp+2q5dma49wAAJXwriPBOlsAOefTZiE6AJ0xJ70ECm8s2AlWIXimgnwu3qp9BgxQN31gbdBXFfb8zee1c6bTQF37iZtDTa9SnDaXgv3xo2MqdD4TgAvVAf0C9FKgP/zJAdDNd25Bga6Vu/usSzt44bzXmVXoC6Cv/9vW/21rDaw1cH6/T/sb9ZzvPOH5acF5HpPqc23bt4oAfYbnQuyE56rP53znhxTpmfs8c5LPkHwG9vts2FN5nvnPBeacdxJA5xozPF8BZes5uJ6Daw1cOGEM1iJZi+SBje5TjT7nRz+kSPcPO3+Y2aJCF6Lz5aRy0vSXlH0Q/VRq9D3K8HHuPoX1BK5nYLwP+mY5qKru6wh3E6TnFzvbmdbuuU0L+PsK0bOOQ/ngzwjO943LmVTpc9vuEaIDz//4e98bIH2G6Ctnz/k/Y1ZZY3Avf5eE56U+f/1//d8pAuoE5rPyXKCdn20dY65qwNts324udeG5r1U781qV+gz1hcsq0oFbKFABS4A4QBeQwRzXqs+pl+N4LeAWOtuuzM+ebbS/9kGYPENEivBReGpObSFsgmNtwwuqd35qivBS4MmxBUvbGrtsrckP3TneqReop4pb626tuYWftqfyPv/uD0C211Cxr3JdO3rV51qZq1DmOPNnJ9hOBbjjocoaGKj6WKW/YLxed+5wbcK1uOe1a0TLcpXYKrpZC9btWLNlvDivFOK/t1NZGwjAuKkmL4Vzq+q9vkER7Dc1gLDeQATrNXhCm3I+Z95oA2PtOnHu6E9B46PXj4FrgwkMtijQfOPNEajBa9edQRD2lT44H+4vm/EO9HBs6bfzyXkGrAxw3w4Fzo8577Xv15ZeUO/8uwY5X+W669W877x3PFSvU4+AOC3bBdSAXK7DMWV5/NQrpSAHoHNf8ywAGAG42A/4Yj1Qh7b4AHPe0zb2WQBrZZV+ZZfzW3vuglhf+WcFvLkfeV0W4P38YD/1cS2AuHBLNbgQGJBEG6kfyMd52KWbA9282RUYQP73z3xtQELaw1gAryuQ4OlXR/5zFeK0B4gIMAW0qbinHawdVc/UX+uzlermXC+V9aWdKtr2J6wdiuhuB21gW/PQwF/78aEm775zzADul186lns7FdK85lqqwUfu784PTqHNFRQQ82TwgjB2WHM3AFfprKrfIA3V99W3hsoqwQW6BGgwp6rUC5I3MNfNQDgu5AWemjJgHNcBCNqIm8u65pYx7/awXhlXFdMGJwjZ2VbwBJbjl16pNavlu3bqui44dowZgQXmyqYfQF6tykeO7Yb/gtnMZw7o5Xj2l4tC28GPPOXttGCe87LR1zL94q26JwXLBmCY89zxMWggc8Vr15854rUvp90GFQiZCVbgfuS6dWyPa/X1yZeHE0C6ARjsoFOEQRvCdK7H88E0AqwH0wDQNseD4wmUYaywbte+XYgOcCY3OgE7j1z8fAH0tP6nL9xLPMO4Rj0jbu7SvrAu6KfXN0Cg7N2vvLhLvXD5a/WaLc8bc6AnNEd9ThsTeqsqz/znH/ulR8vWnWME6Nah0l7Lds9NFbql2vHoUwXQU4W+/m9c/7Os/1vXGlhr4If/e7S/Sfu7dOY7zxzn/r6av7WS2/wkkM65irxSdZ7g3HznCMNSdT7Dc38XB1QDyTPXeb7eguj8bi4Mz7pmBbrXSxAuDPf1DMe3inXksYLzhPILnq/n3nrurTVw4YxjsBbNWjQP7Bo4CaSnIn2G6Wklk0r0GaRv5UXfVKOfJj+6EPoEm/LMsX0MpJ8mP/ppVdNT2/2ylrbuc070fC9EP5Y7/T5Zre89f6t/Z1Ch79ueqEDfp0bP8e3+z/nR91m6C9JnJTpfvFnPS01w/s+XVdYYnGUN7LNuT5V3FuBRKs8tCdFVo7s/FecJpxOspj16WqfPsH4rB7q27tRlDnTq4rWqaK24VUdn/mJBobBZgMl7rwWU0wI926OaHDBZwPjmnYKCACdVv8JP1aqAm8ztzvkqz4XYQmut5lUN0xeOZR8/phdke3ZnOQ4wY58A/Bj4biW0ynRV0VrdC4ANSlAhzT6uRX30STAsCBcCj2tFPvgcW2GqsLfU3M+9VXVmvneV9yO3dgN+Pue67pst8W2PY64DgW1iPViXkNYAhpFGoOGvY2GggkEcZdfe+cqFweY8N/e3gQzMs7DegAbaIzhOiOx4sg+Y5lpUhW7/VJ6zpe4CzCj/b94paMRnXJf+0V/XFfOnpb1Q33kBGhs4otrde5D2Os7UST8M/hhzevPOuG8MHjCYYexr4O99oluBeeR5zVhTl8EOHKM9OMewzxzfZY3/wneHnbV5tbFw18YdiA2o5DMAFMdzTCnNX/jurjSQYisA5zxtlAGUlFJCd757zq/Ak+feqvN4zb5KNdBAHGAHDKQe3pu7GEiGLTNtBGgBEWkfcPYnPvLw2x/+2KcGiOT8guINLwXMXENb6rL/vv7GCCJgrCpH9M0deDVnPLDN3Nm0m7p5z3hSlzBa4Ms8qGYWfKuytZ56f31nJc0Y8VqgqeW0NuGlPG6leOUT79zdKserj62KF2gKUoXiKpYFuZmLXKjqOQJeXpu7u6Bzq3WHovvpBvwXbw11fampH/3ScDqo/nZ/tGwfsLmDBQS9dX5fS1hr3nedDoTBgm9V0oJY1dPmuueaHGMghP3Q0l2Ynkr/BPQGWuhsIBD2c16r4M65MYd5WqSzBQYL3IHKzp/jYboElfqVcqEhuHA+c97nfOqSMFwCnnhxBKTYRteJr1Wdq4QvJ4AnXy64zHjWHHVu8wTy2qUD9LWp51quUYM7zOmujbvr0DFhroTXdX6PL8czPkBzxgzQzGtU24Bk6qJfKNBxn1AND+x2nVIfQNy1yfXYV8/Fyy8NF40RmHLphfo81f2Cc4A5IJt2cG1AOBCfLe0RrgPBU4GOehwo7n62QnPOow5f8xn9m63ctyC6KvSlulv/r6z/WdcaWGvg3f/deR80V3XOb3lblu1byvKT8p5T+P05AfpWAZ4DsBNQC7JniM5nCc8TnG9Zt6sMF1rP4Dxfe41Uic/wXBh+Grv2+bN8rWAOF1p+/18CpPX8W8+/tQYunHIM1mJZi+WBXwNpm7OVH30G6alI9w8+Xzz4ArIPpAvQZ4h+6tzoCa33WZMfULGnsvnU1zsFOE8QnqpyXwvIE57PbRkQfQbo98GC/Z5A+xmV6PeSA/2sSnRB+pwLfR9EX/nQ13Nt/W17f6rPhecCdOG56uvMdZ627bPi3PdbOc9zXyqd/XwLnmcOdduQ7ck8xAAHFKfCaFW1gDohJq9VumqNLogV9Gfu7gwc8Fq2W2W4YFOIDNgUnqrs5hitx1OBLkCn7UJl4algkv5ouQ5Y5HjaJIykCNHtJ33hNdcvu/Kui33CagGy9voFcLvvqorNZS1gte0qzkuZ2qrvVGWb81wrdBX0XoN22TfPsS9Cfm3F2WcudOG081QK4FatGwBgAEfa4ruGBNwJ6T1He3nOs98GAzDejh2AMfPXH+t390mltmCf8ajrNVCmqEIvK+u2cy9o/oVvDvW4sJy20C7WVirhdSHgPTCYNWEARroc0C4DGgTWKtANtjBwQsU5x2upn+8NUDC3Ou3Q+p56GQ+vyX7e68jAMaYeyLzxvKb92qEzBtpZA8E4nr5pUy5AFHZp4c79z3MBuATcAehxvOkZgN4Ab/pQOY0bABd0vniroBoQivuxcqBfemEATc6178JVoTwwD0Cq4lW7cu21tbQGaPG9CcD1Fz/xOwXwgGR/4T//2bJwV8WrxbhjIBym0C5dEMy9Xrnaj75ZY8c1zaNOv9jve9Yuc2jdw967rylEVc1srnBzdWuTXud0LvWRW12lcaiEaYtjKljV7lzQ67WPAWJy0bdSvEBuQ1o/F7CqUuc4+ido5djZyl4gLKBUIU/dAnhtz/3c/PGpgtaVQPBtsIQAl6LC2oAAlealhkc132vZtgiuzYfOez7ndfZ1tjGv+eo88Zyj7Tp1maPcHOQJ2JkPAK+gmz46dtYhYNdO3+CEsSY/+wc/AMod7KBCu9TY7QLgtc1DX7by/ZkQfaQS6LF1yxoSoJvWwKCDKt1XXnNtQTkAXYcELfwNzNByXmju/JYd+2f/YDfGF28VdAYqm1MccOyx5pdn/rkugTJlix9jAjjn+SNwBlwDkuv+f/SpuveB0gJ022A7XVdcw5QIPOcMXCEYh/t7BLX0/VEBHq2EF5xr78572kFRSZ627gBw856XfXtbuOOOIRxXtZ6Kdva55Tjt4s2PLkRfKvTz/96/yhqDtQYeLHt2gfkWNEdxrmU7vx3P8NxySHWe4Jzfm09j3a5lu7bppioVes8AO63bE6Lvs2zPvOdbv6fn+y3b9tl+PeH5DM4PAfX5GOE5v/mTxmS5sJz/vbLKGoML75MxOPcGrLLG4L32BYc/pFv50ec//H7pyKg51OjauhvxJ0Dni8wM0e9So58mT/YhS/KtY0+yiT+NQv0ASE9Yntu5HAPp0UZh8TGIfhol/Gnaep9g+6Fc6GcC6WdR+cf4zACdwnpKiP7CP3y+IPrKh37+z5NV1hjcL/X5lh175kLPsmX3nhBc6J0Q3XzkQktV32mp7f4Zzuc1AUh+pg2z0FR1NOBTQKqSVxvqAoQ37wywqFo3Ld1V2woZVam7P2Eq7wFaFK4jcNT6XOty83tbn5bVqeyeVej0U+BM+3hd9XUeZNstPOYawlyttIX/1MH1hNJuHSPOS2jK9W2vdWiJznuDBqyDMaUtwmXHWsjtmNhXrid8TYgv6HYctFI3OEIgr7pcdb1jx1g7jwYrzNDc8z3GoArOM9jDIA0/o72ATNsq4DdfPPUBOlT+215zsrNVXW5eco7heuli4Jixrq1Lpbb9UsltIAMQuoJEbt4Z6ngBt/NsMIVBI65tA0fyXjDtgUEj3rdaxbvu2Ee7DWCxTzozMFf0CRjOXDunrheAV4FGUh20XfivB/wtsHb19g4mYb/dlsoAKlTnKLsF5cAicg0D8jhXRT4A6it/9NoAywAu4Zq5yamXuTXvNcfxXlis5T33HcCe+4r285mqVM7jntYm3YAAoCWqU9onFAOa/djPPlIKVXM5pyX6gIydv5zxYGwZS9ZY5Z1vWMz1zBev1XNB3etv7IJ0WlXv8aXI7RzzpZBue3f6URC4Vb4Jixk7Vewqq7n/dQRQdV7As4H1GN+wzFa1W3C8rdMFxKpq2Ydy33GxzrSFB2YyBlpzCzgrwAD1blvEmw9dQCtwF+BXv6/srqkC2CAIjmGtCSm1vDfQoXKY97oxd7p1ovxmDmhLrZG273eNmVPc4wGrzJcW86rMbbfvzTdO4X7xvUEBmdPcwvrTsr5A9sVbA5Sn7b328M5ZzUtbvFN/WuJrZa9LQcJztoybeeCrTRdv7RTdDcVHezsAgOME4bWfv6Va8/d1KpCm7x0DHRhXr8HnrAnG0nHIHOjUQRsK6PeapJ2OC4CZzwHEvOYz4HMF3XQed+rjXgBy0w4KATJc0xzoWuRzLvUCoAHowGX6DVDGfULlO8ECnF/30dHrBebNs84a4/llsBT16JhRjhUdgKCd/LCib3gvROe1AQIUwTegG/hNfnageW0f/uRQnvOZqnWDCwTn1iEon6G5ZanQ1/8o6//UtQbWGnj3f1eeleb8RpfQnN/tVJxTDtULxGAAACAASURBVMHzrd9VE5ybTtPz/R16H0DnN2vheYLzGZ77fh88P6Q8n+F5Ks9ngG7Zsm6fVeczHJ+V5vvgeirPFzxfz8D1DFxr4MI9jMFaOGvhrDVwBjX6ofzo/tFHjZ650f0yZDSgAP0gSN8H1Lfyn5+gZj4I4rfqPYtiOiC6JW3c521atg94HvXx2V1BAlu254fs0A+VdwGkn7lsqezPqEJPC/cs//Lmk3/KF3Ihul/g13NuPefWGnj/qM+BTKqtBdWpKN9n0T7bq2eO81SP5+u0bxdSAqIE035m/bMi3a3nY7EO2AJoAR+0DAfsqC7XZpsfn4F4gEavK7gWfgp3hY+CYesBXmrrnfmiBYqC68zNDVykmBOb4zMftWpuCu0WXAqYuZ5qdq8rrBR8mrPbNqtS5zPqEmBzPGMgUDafOXVr3W4gg9dQfe+YmAObdmlnLpw197Z26LbR41XQmjecubNex19FN3VoE08dwFf7Isgcc9N24QWcO7e8dZrvWiUuayhBuopz5zdzuDM2Bm7UNW7e2QG4zmtuYINjwHnmsD/mhnBtFyQhTOZcA0VU3/PafPYq4rmetvPCU66pE4DrS4DK2qavaYnvfWnwg/dopljwOPtggIJ50TPHuWuK/jAOtIktx3IfDUv+hvqCf9ca7eM6nAeMrHzhV2/X2qePAkX2AWlV9Xos97GAj/segM6WawPEAEyoNAFVgCYgk1bcjHMpqn/7ZkEuIFwBps/t8gfznmMBV7SnrNiffnXkQGcs2LJumR/q4zPaRD/NTcy1Sp3aEJb6aWMB9CdeLFU71yEHOorVsizvIAlzibPOVNE6HowZ48e4mApAoMvn+Zrrag2urb95y81xPizUG06aF111dJWj13eBGl/cqfa1Qa8ABJ4bfR3Vy4BvQbc24gJgXtP+GusrL+7gdB9rXw0aGNbjj/3+CETQzl31MuNlwIBwtlTlDUdVCg/Fe8N56rMec36rbNZG37Fi/1BNt1pfgF4gtiGnsNfr0H5V2oyJ65h1w9ow4EIAynUrR3tDd+fEedAWPtMN4GKQSn9BuXMooC1Q3ipqjmPsAaqOt5CZurSnV0UuiOZz+jAs5Fu1Xi4Orfx3rEee+55H28I4uD7NKS6QN1hCy3vXZeaXN/hD0E6/dTzQKYHx4f7y/kmFu+tR+3W3PA9Ub5dC/9EvDRt3QTiAm+txfj3Pn/1GXYsxYB54z+cE9qjG5zPOBTITQANAx5GA1z/6139u5GZn3Nlf7Xv227WefF/3bz/HWO8EAulqUPdiz4NzavvNga76XFV9WrkDtoHdwnMV6LwXnnOsedKpIwE6WxXnHiNEF56nnbs27uRCV4W3/mc8//8LVlljsNbA+28NnMaefQuaz+B8tm33N9QZnGf6zMx5rvJ8y7p9znc+g3PLDMIF5I//zIfusnCfFeizvfpWStR9SvSE+WnXvgXPtwD6Fjj/nd/Ytm3nb95y7Dz/+2aVNQYX3mdjcO4NWGWNwXtViU5OsFmNbn70fSCd1/zhZytE/+PfvzIgul+KgOduD9q6b4H0LfB6kmL8JAX6Pmv4e1Cjb5X8gpf50ROmZ3vuUqOfFahv9fNdgOr3lPP8LNB/ssu3+CV5Buiq0JeV+/k/S1ZZY3C/1OcJqs39LdDeZ9+e6vM5h/kM7BKMe54A3WN8n9fzOF5zDFsAuoUf3lXEalPNewEp1wPeaMEuvEwwDeAD9NlmwaHQXFtyVbScA0wToAtAVZqrFjeHNjBKuAto5Fw/A1IB7UqpHgpswab5y1Urq4A3r7TgV8CcSnfttqlLsO2cqCrWSl1FtzbbA6B3u1SP80O/+dXNQ851BeGq2oXUbqmHeumvcyrg5ZpatwOiuYZOAgYrCIKFstQDRC5I3krrOa+3luhsrU91vGBU2G4wAHVoea8NP+BL1b85xcvyu8dNZXna56si93MtuF3T9JU2ZbCC68qABNelOdjNNc+x5lbnGjoxON7WmcEPHOsazpzxme7AwBLvU+eSwhouF4hOLUBfBO7Oj/eSASUGJwDUK5Ck1xF1qfIGdBHcAXAzP3eBwIaB3CfCQsAYoEiAjp06zwCAD4Dpkcs7q/RS73debIGr9usqcQdg7fzGlR/5yZerLd6/3rPMa1nCNzwHXgG7VGSXC8XllwrqsV/bcuAa7eR6wDCuD3gCoJdaFQXwte/U+qLQlgF/G1B7jVKCX3uj2mcQQgHzq7d30PD6t4faVsVu2b1f+87I8U0beU0dnMe6MOc7bVapLWjWFl4lu0p0xrZs3TsPM9CQ9nj9kRf8sR14FYYK0xlrc6ZrIS7gpn2CZ/N3G9wgnBfmVn7tthk3j3fZprddO21S3S5EV4Vsfm7aD4RUiS8kFh7TnmpLA3RdBzKPutDe9AOl2I4889RBH5hHnm+Maandr7w4zlHFriLfgACDO1xX5vbmfAJGMmUA++wXY6jlu8BY1wUgayrVS03dNv5at2vzbloCbdC9d6xXW/gKoGi7duH5GLtP3xjzozq82tq51CuQpJ0Kap0+3Y4IcVzmRGfOGItyAmhArouFQR3Mj5b/2qzTR5XatFWAzr2oijuV5JzDM4XrqdK374wnkLqcFS5/bUBmQTYFK/QPf+xTBZ15hn3slx79PgCdz1yn2rZX2oqjHVA3aIZnBs+Fcs1pcM8x5XZxfZduIBXo5kLXvt1tKtSrb5/4zFCOD4DeKnRSS9BuoHiqzROec65W8MJ2ofysSBegC9Ef/tSln1u50Nf/Let/17UG1ho4++/Gsz37SUpzCr/bJTTfUp5r2e52huf7cp7vy3vOb9Np2b4PnCcMF5ZvgfMt+/YteH4SRPeYGZpXm37loYMAfZ/aXHg+q84XPF/PuPWMW2vgwjsYg7WA1gJaa2DPGjBfzQzSKYL0rQg6tv5B57W50f1CM0P0zFdjpOHeHOlbVuCngdx7gG3mRN+0hz8NEJ5A7wzSzZPul75Upaet+2ae9mzXvr7cqxp9trA/Ayy/J/v2s4znHov7/OK8T4UORE8V+srrs55x6+/c+0d9nrm+Z7v0GYTPEF07dQFoqsYF1gJ04anAXDt0Va2z6l3VcYL9VMPzOdc3/3EpOr+yU2sDzTLnunBcYAzEAxYKvrXVToAvjBa+8942qHAuaNx5uAWw5n4WJgs3tXDX1pzj+GFce3dBpyBaG/ZURAMaBc7aaAtmeW+eZq7Dj/D80O+5CduF/Y6JYLTU523/baAA8+SYAA21q1fBbp52j1d5T79sp30S7HO8QE9VuWOZVusVVICisEGvAQpcB9AgRC8I2LnEVdVzPP1gjWS7Vb3THs4RhFq/gQ0GL6jqH5bvz71V13a8GOOEws6pinYBsop7oBnHcJ7jC/TmWs6h+d4NArBP7BNW27ayCp+CHsoCP6C1IJ9+u56E6o6DwRyeb39G3vO2yK/gAiBqBxl476iS51jq4XniutMmnH2uNfNnm9u84GmrnbVsF6Sqlq4c1Q3TgWRAIaC0LhRAxIJHT9wsi3ZtrlUxA/Z4L0Afubvbvl3gXDCuVdcEtGiZzjyVY0KvIeCnlt4co/1y2cRf38EuYTTQi+cUsAvbeV4D28iDjGJVKFiOAw2oS8neMJ82FVhvSG6qCLZasAvKzSMOzGTNUATtOihwLdXmpUjve01Ia75rQJ2AmHN1FHBsK2/69TcG+DTvtbmyBdECdOfC1wVEO4/1yFceKu60I3e/inZdCeiH9TkOwvS0k1fNO+zQOw+5eb4Lwnfb7Iv9MSe80Nf88CrEBegFVMkd3gDcoAfOM1/7UNBfvFV/t7Qfr7zrT768U4C3hbxjq4U666Bs6vtYjhNSFzju43hvAIZjriKeOS24Ckx+4uYIfgAAU0e5NXRgg2MCcAXoau9uznOvpS37rHZP+3wDH8zX7b1MPbo/aFGvW4ipBTiOe9GAlFTnV9qLvn+5v7iergSOA+epxndszXsvLE/IrIW7wNk1p12+lv+1vlo97/HWAVg2hzrwmNQSKLJRq7P98Yd+eeRv1wVBxT5t5JnBs5k1wLPNQAHs3CnMkWNiQIOK+Zqbbo+BDgJ2A4cSnA+A/vAn3/4vP/7I2Ke9uxAdQK4CPWE5W9XnWVShpyp9qdDP/3+BVdYYrDXwwVKaU2ZonoDc4vv5s1l4dJq859q2C88RcM3Kc36XRnkOPJ9BdUJ0XwvOVZ6zneF5QnTV3vvgOdc+BM8Tmlusc4bmlq889ne+P+dJ37Jr53d8Cr/rL7eV87+PVlljcOF9Ogbn3oBV1hh8EBTph74M8BqrnC2QblGJnmXT3v0+WZHfBWsbet+zCn1L0b6npCLdL4mzrbvQPAFyvj4VIL8f5STwfSig4SzX2denaexmgL5PiY6V+1Khn//zY5U1BveqPk+1uVA8LdsToGvVPNu6JzRPm3UBnlBVuDer0gXU5ma2DULjuV7gKABNFTfATrBf+ZUb5vHe880tDRhUiW6O6Mof3TnDEwgLNm2jIFCAKfDmGsIq9guvqN885yqUBbOAEPNjG1ggJOaaw4r8ubfqfVmXt125nwt8U3FPnewX5nKs1uvCVueF9qhy1n7ez1RxmxvcuagggVb5pzI8AS7jpJ18Keu7PiG+an0hsfDYNprPW0CboNdxMgCCMdF+nPFPJbr5yZk7lc+uD/unLXoGGDjvroPZQl0grh2/udkzv7nzbxtdA9QjmBaUGzThfBsIQJCBAJd6VJir1Hdc+Fy7fwM6zHfOPuaIfbnuVaDTnlTsC/8p3o9s7Z/3Gvt0bDBYQpW29/lsYc/rGsdWXGo9rk12WmCbq1u4rvIXCAUI/OPvfa+eAQAk5gpIJDAk4IRrUBdqdFXA1MGxQHSAmLma+Yy20WfOAUxplc7cGXhDvYBPtpxP21nfpQi//NKwby8QTgBN22YDr4BeAHTqASoB0LFw5/rMccJw+817xqmg/1OvjLVUtuqtHAe8Mf8cV3mnG6K7XiswgaAV6ibHdr9PGMz8qfoX5JqjXnVwpQdou3H2CdcTIKsOr3znocDW2rusp3tMhKxAW+ahcltfeXFnFQ+o7GMFlbZXlX9CWZ0LEtSr3B9q8gb9lef88ktDFa6aWQW3MFMHhAGm+70AN/tfoLyhNnOXcN5rVx77BsqqrJkP86NbZz1bev1pY66K2uAF5iDt8TmWeoT85grXOr2U4b0OOacU0q3cL4U1EP2ZHcDW5pxiEEjBa8A4a6EVzwJ255lrsE/Qbdu04M+ABu9xrelZu9ajy4Rz4xhXcEKr0Qs8N4TX/p/7i6KK3RzsjGmtl1awGxwhVBZ8E9QiENb6nD4ZaGNAgIEhBgOYkgAIX8+TR5+p10B0xvfhv/8Pvm8OdJ5dKNB/7GcfqX7yjDIHPXUYOEJbGDeeO1q484zQ7t1+ms7AeasS8FzVPe/N5V5pKxpsW4DmwHMBOm1mP1bvBAEAyLMA0h0rbdwF5QnMtXf3WFXojzzzj76qCn0FXq//Xdb/r2sNvFd/k91Xfli/Bx+C5v/xO//oD7eg+QzOs6AuRzl+CJ7P7+c6Mue5vzNvKc+1Sec36swtPuct573QfEt9PoPzKr/y0F7b9n35zmfleUHzrou2zEA+gfkMzt2X8FzhG7/dKypaaUrO/15eZY3BhffxGJx7A1ZZY/B+zI/OF6ZDID0t3f3j736+xKStO3lqMmdNbvlCJUy/S41+VpB+CPIK0LdyoZ9WgX4CJE4Qnmr0zJluDvQ5P/p4nar0LYX6lpL9fgP1s6jczwrOpyAE5yTzy89fmE+jQl9fFs//+bHKGoPT5j5PK/UE5QnEZ8v2OVc6kFr1earEBeLDFjtU6Jmb2Wup3FXRbn3CYdvH9Wi/1+W1qnQUqZ4PrBLMq9rmevwoLagUIic0F/CrkhcgqroXWpvvW/jJe0AG1wI20TauCRzwHD4H4AHROA4I4LmqnVVhC+4F2yrWBbzmXwdMqtwHWJrTXCjKuaVgbsgsoDU/OdcQ0Gsfru23NuO2C7gD1BWe8362edciXWBMW9wnrOda1Jt519nH+Jhj3GAB5y7t3M2Vzn7XTbbJvjrWzqWKbeGuc+i4Ov8GCDDfnA8kBV4KrAXVAnParCKfz1WMC9NVoQNe7TtrhNcZRODYa9/OeZyjOn7kVe97Sht7LdcNGjCvet4f9M1ADcfBoAcDSziHrYpzVetCd/OrGxxjQEIFZnQwAONUgRQdIGAghE4M9IcCDOXYsq5u2/SCvw3GzDut2hSABGzSnph73SAaYBKwB9gE9AI0AfOBS4JzgSngi89UcmpzTV+5VwtWdeHaXFf1OX1hPDhOEDtAfyvoAVx1/efvVN28x1oeJanuF+RBFqBzTMH2DiYo2H319shHbY7nej6Qa70/L8v16ztYXtbunb+71NINeflcm3cV9cwR+wX1QndAowpsc7hbB9fVKhuoWe0IwKrKW6gsSHfcgXqCc0F1gdGwJ6eoIFYVLnStc7vegq3ksEbZ3FB3tojnmsJqrme+ba3OtYcvuP/UDkbSDtXw7BPWC6U51rFl6/rQQl/YW4E1DeHtD8fWfB69Pmy7XdcGRqg61wkhbdxVe2sxX+pyVdXdxrLzboX2fIyBBQVWuz8GGqjeV+1vMIJjTpszV7l1lxV8z58wnveVl7zt8LWCFzZrrW5gQI3HlR0EryCJS6+MtTCAe48R57Bm677rfZX/PQA769LUAQYZMC4EE6ig195eK3PV20Jnc4abXkEobS5159W+MxaAcQAxx/EconA+9zdAGYCOVTzt4N7/cz/996otvGd+zd/OvJuywHXDc4Q+uN4YG55djJvPNPPMV2AAgLxzoKeS3rzsfDarxQuid/5zADrwG/U5/TC/OSDd17Ote+Y8z7zpaeMubFeF/tFP/OZvmAt9/c+y/mdZa2CtgR/276xzEVifVDxOQPpOwPq+NpwEzU9Sm8/QfOu9gFyxkdt94DzV61vq88x5rnW78HyG6Flm5fkhy/a0WD9NzvME53fB8y6zZfs+YG5dfrbs2tcza/3dWmvgwrs8BmuRrUW21sA9fKnyi5R2MPvU6AnRKbOtu8UvPBTg+VZJkK5i+0wg/dBxZ8mDvg8kb4H5LdC8kdM7YbpfGPO4u2D5bPW+B04fg+n3A5pv9f8QVN+nRj8L2N9Q789fnrcg+qxCX8+69axba+C9sQb8G3JS7vM5D7rwNAG5yu8Zos8AXaW4EDOLebmF6AnMtZIXrqeNu+pYC9f0ulgiA6UAauwTdgPQBeB8BjQzVzMwrHJuX709YCXXoY2llA2ArFpY1a3tdVtgvu3PVTYLZdkCRSo/+HNvFVjlh3HqZb+5uQGq9F/Vs0pTx1RwK1wVVpqPXGWykD1tvYXM7NOq2z4JUXlNPdQpHBW4WqhDi3bhqXnZ2a9Nvfm0vb7XMgBC9bTw1a1zo0pb6MyYAFzNSV9W7wHrDT4wCMC2GQzA8c69/WWrdb/qaAMrcu1qSU6dwnKt2pkj7dZ5LxzX/tzgCseVY3lN/cBzwblzqquACvwMhqBdrBfXpXOXTgIq8LMf3le6Ezi/nANQ5ZqOufbuuizorKAdu/eF1vAGAhgA4b3tPuE8692ACD4DJgNoVacKHBlP8y0L2ARn3F8j1zhK72uvDIDOfV4KzEe/VPuAWYInVdkqiqkf4AToZU1Qj6peIDRzSNuYHxXPtfaee6v6UAr0Ps+c14AszuE1/aEtdczNneU2zyfU8gJd1hQgCYgGsCuVdwD4grLdHvNkA7i5BvVyHOuI+atc3g0POYb2qho317nW7wWZL+3Uy/SjlNIdrKAquEDwpRdq3tinzT77GTNhPkBPZW/CxAomaKDNdQxOEMBqK17q8qdeGQB+WH23rbvW1ALustpveFnwvCGsKux6f/HWaEO5FbSym/NUVQvlza2t04F5xemPgRuCTZXUCbDpF/Uy1qrHy/785g8U+2zZV2u8AzLKfaKDEcwpry2/ueXNOV/Pi87hruLZOapx7n6rYGZsVctzfSAwnwvNBcRjrtsBQBid88h7UiEcy2ffc8NWgG5wQwUedDCDwQ3au3O8W44RaFOn68f70vzwjIcqd/PdV5qEp3cW867xYcnfwRqOIXUVWL94q54H3q9c2/Vg8ApgmL6ap10Ld7YFnxui+1zSzl0LdgqKda71o3/rUtXFedRPIZ84MBuoDPh+5OLn31aBjtKcMTAAxbFRaU+7eW5yDICde5428GxjnGtO2/pdC33202et9g1coZ/0t/K3P350zMK91OYff6QAutCb9gLQAeFCcS3cgeXmP8885543w3NeC93Txn3lQj///xFWWWPwIKyBQ6DcfOJC64TX+0qeQ8n69gH1k4B9tiHB+SFofhI8z9/xBOem8ZwB+kmW7QnP/T05rdtVnqd1u/BZiJ4FIJ6q8y3l+ZW//ZG7wPlZ4PmW3fpQwk+W7TM4T/V5gnO2W/B8qc7P/z5fZY3BhQ/YGJx7A1ZZY/B+XANzRGKq0f0DPqvR+eOuvY15YIwM9IsOAD3BuvsSrAvSzwzRDynQU+V9rxbuZwToc770hOjHggQmiD6D8bsU6wfyqG+C9HfTEv4kpfppr71h5W7gQeZQmgH6UqGf/7NilTUG8xrQySTh+WzfnlA8c6Cr+k4FuhBUdWsC7sydrrrcelT7pvLXono2851TAHBeg+NUhQP8gHzAM+CUAF14DhxSfU4bEs5zropm1crCPs6nfQLPhLoWAa5tUSkvXBWIoqYVbmrVyzGpTDaPNO9VNFu3ObUdh1TKq/JVSa761zEXyqvuNme3eb8dE4pqaq3lM++785QwVkBvcIBBBpyjOtkx01ac1xyvhT/9KtVw28fP40x7mAPbbr53+sV7AC5bYCyf0U6uJfQXqte+594adZqr2/VoH+yvEJm1ojJc0M3a0Y4fAMb8Zg77ytnbqn/nUlv6DHDgdc15q8ALgrY1egJ69tl/AbpzTnt5zTrXcl2oqnsB57reXatp68/n5u12ziisD45Vec+5mYudz12fmXPe4AXG3TQIugWomKZvwmUAopDI3NBCwVKENhSsHMdPv1rXAySa0xhIJEBni8U55wGouMeYNyBT2Um3KpixVl3L5wAxQKWW0RTGtFIxXH6prN9V4qqcV43N+WX7fuPNATi5Pu2llKU2wO3irQoYoJ3ALJXpAKgf+clfqP4YfCOwpb3CVdqi9bpQfgSYNBRXpUuhjrIdZ7xR9QIZr94edu8GJVCvoLjAfYNv4XipiNsyu9pw6YVqq5+Zb3rOU64C2DzTKsCHhXfDPAp9EfpynQEoG/hnDm/OFaaqWNY6u4Dg5ZeGitnX5rumvSrOtZvneoDOGrfLL1XfAJScx7gLyw1EcB1V4AGq6rZU186etcW1mHdhr7m4zV/tPFaww9Euz7cpDYTuBpSYBkDoP3Ksd/5tjlOpz3tzkwNynRNVx6rABdyZK10gTLsF3q4n84Qfm7t+n/A+LeZ9rd29YDfnhnYy1rxXWW0ghLnWDXQQsquGV6WvHTlzylhaP/VyXZ7PZVfe42KecK7H/S405zqq0FM9zmvfa43OuDBOaYde9+vFW1U/dQrQqZPCe0Az0Jy2lAPCw598+y999DfrNaAbiE59zCdtow/0i/oB6PSF9cCzzTnjXD6rnOqf+9rx52cHLJQNfQcuqLYHgGszD+QGbmPXjq28Fu68Zp927SjROU/FOfVyHv2q9fb40TFLd6G6ivRZha6NuwB9qdDX/y3rf9e1Bt6N307n/OFbkDphdRYV33OZj6NswfVUq58GlmcbDlm0n6QuT3DOZ2nJnscKzjNd4yHL9oTnbue85wnOheezhbtwWuV5qs4TnFsKoAfo3lKE7wPpMzzP13Od+6zbt2B6wnN+k+dvmIET61m2nmVrDaw1cOE+jsFaUGtBrTXwDteAX8BmiO4f9gTpvPeLB19cZojOlmjBWaFOEaBr6565w/eC7HuB4fdDgX4SRJ9Ad1qU+wXymGX9BjwXiO+D6ceg+Ybt+1028KeB2Ycs1+fPD9V3ypznW2VW7lP8Eg045wu0Nu58yecLvxGY63m3nndrDbx31OcFzxugzyrytG53K9zOvOgJ0bfgeYJ3wbj7tEgXVGrpDsyzHdrKp+JZmJfKc2F3qcqfv1PwDBghZAf8eQ7vAU+qZrmOx2bOarYer7pWZa3wWGt6wT7ttV3CW84ThtJnoKagFVCizTjgEegivNQiW5V15ezGYh478gbs2t0L2lUHqxwWRlO3+dHtj8rrhOTWpVpcu24V+kJkrcxV4wvQhfkCavsO2Fb5rZLZNnKsSlot2M35zrGeVwD95p1h1+7cclyqux1XIa9rrCzLO8BA63yhrsptFf3OK9c0h7dBFgZEaKlf+ZkbfHNdxsmgBM73mgY0GIQwbNxb+W0+e6G3EJU2sgW0sca1wBd+A26ph/MAm4yJ64vjtHN3reR9pxMA19NlQoCeyn7XH2PlejFfurncGYsRvNHKduqtnL1f/+dV7D/7+Fx1rgEeWqtrq666VWBayuvOYSyEBx4BI4FbQGkBOs8BwRjXYJyAcbWmv/rasIwv9bn569u2m8+0duYazAVrVNtuzuGarE22zG3B3rC7Nsc05xdob7CqWh74JUwtdffjR2XhDuCirfSPcVG5TPtSpcxY0C7GUpt7PudarG3t1+mjqmv2V9qBq7d3ql5Vutd2NuH0wTGgnYw1Y0VdHm9uatpZKliCbVp5P1TVDe4E6NStYlfrckGrYHtYuF+8dcweXHhKPwB9vhbE8h6FLvNFOzmGUjm8r+xU1ebV5rqMrfmw6buuB6rn6YeFNSR0z2CDsjxvIAyAHXnZG0YLszNHu+fzXpU570tt3HnSdSwwcEKlOgA1LbsdT+31Vcmr8s7c5rWOW2WuZbv26lqsC1gNSqj82x1oAAh1DZbrQ8+P16B+c8qnC0Bdry3EzRPPPaES3HWk8t35N1jAeF7SSAAAIABJREFUIIgKhGmXAcCxyn62zLuOCAY0aOPOWuc41q/3nevJ9Uf7DADRtp02Vj74R79UMBjAyzNEAK4y3dzu5ilnHJinCgh6/k6NG7AcxbkQnXoA5UBuLNypOy3czS1vTnOeAYxTBQxc3aWX4DP6zH1ezgAdSMDn1AV812HAwAf6VvPeQQCuC8aAPgHBgeLmJgdwA81Ro1O0cVd17rHmhqcAx/N9KtFVtOdrYbpltnFfzmXr/8X1/+JaA/cLmp8FUlMQgFhUelsQiGxtLZ7j+QnZE6if1AZg+aw031KRz/A8obq/0wnO5/f87snrfTnPt641W7ZbtpTnWLeb9zzV5/la5fmc83wLnmuxnqB7BtunUZ4nOKcuBWaWOc95nj9/tgXPV67z9exaf7/WGrjwLo3BWlxrca01cB+hCH+0tXT3Dzpl6wuDXzxSpc4XnS147pcjc6On1Y8w9R3lRt+yJT/ruadVv0/QOCH6XbneN4D5sdenVILPCvTczoB9zql+z+UsoHxjfwYRuE14ngA9v1AL0euLdKvQl437es6tv3XvXev2LYCeucRVrWZedOFpwvaE58JuYblALnOcq4TVrlpw7nlCWusQXud1tIsH0PqaNgO2zF8tYFV1a/7nkeO8rZhVgVNXAn4tu80VbluE96nuFfQLnjmGH/epE9BkzmyhZKkXW1msAlno7PWFwJxv21UvC0KFlua1NijBoAChr3VxvKA7Ldt5PQcrCMM9zpzxtEXQngECAnaOZx9jYXsNCOBzxkRVNlBLq+88L/vk/twK2s1DnTbhQtzRv85vzzwxJxQV1ZwnwE/FdAYRqDzncwEw53Ms7TF3N23xWhyb/WQuXHPmVVdxLiRnv9fWaQA4boCEdvGcw/oxFQLHq3R3LTFHACn6yGvzpjtXjpPrl/VMn2wn17P9Ob4GMOR8sd9ACteV9vJuVeR7bzB2wCDGQHDOGKqEBgoBfIRxWjYDFwFfHmeeZOD5v/uzPyt79LJxv/y1yjMOSKL/7BOiM9Zag+u4QFtUeAu3E6CrqAVwqjoH8FUQRee8BibSD3Nuc70a+6++tstJ3rAN8Kb6njp+4iMPF1wTVLKehN8qwbkOYJB6hN6MvZbvQrVyPzAPeQcaMEYGeZQtdreFOoTZWuMLUIXb9EcI7/6an6c6H32r1bU3p1/j+m1FnXCebeWq7vzYKnGBjKrYaQ/tNAd5WqZX3vHO262VuAEMwmHngnYY9KDlvPBcdbTuANrE04+6RztYwfzl2pfz3kCJDDgoK/Ven9x3KsPN7Z4pACrY5trO7UC7/rLnb9t+c6VTFxCV9wDaHEuhs5bmwFCt6yu44NEv7VIZtLq81OudA5v2MO6cI9yvNQAgb8ANsCU/tkp/1drsK2CNgr0VztRVqvqYd4MoWKuVc517uOfV+rSLNy86fxt1XeD6OkOkXbrOBxVUcH3n7lABCdj0P7MLgjBQw/lSqZ+gH1juehAma7cuNKddvKYYdMDnulUYjKFtPRBb5f8M0HkNKEfNTZAx4Jg+AKtxn6C/1MmzgvZ6r3sf8potwTf0kfc83wy60E3B/pqSwMCPstl/4uYIUPFeoW9psa59O8p4wPlf+eivFjTXul0VOq8J/FF9bsl86IByoflf+8UnBqSfVekA9J/7pd/67rJxP///FVZZY/BBBeYzqN6C5IBqfstyu1V4fp9mSx0J1vep2BOUp8KcOmZovgXPU0mO0GnrnATjqUDfAuuHFOcnwfPMeY5QS4Du9iTb9q0856k634Ln+4D5IeW58FwbeOs9pDSfX/MbOylUl2X7+d/7q6wxuPCAjMG5N2CVNQYfVIg+W7oL0ucvBijRtXTP/DRshena8xjVOH8B0wL9HeVGv1f4ftZrbIH0fQD9ndim/x//6jgM37jmliL+LpAeMPyYcn1S0c/w+8yQPbd7VOdC9X3wPC2c+NJf2+euvsA/K/wDs6yMzv85scqDOwZat//Oy9/+u8JzFd4WobbgPJXlqTBPeC44TsV6KtCFrKqbVX0LZoWSwnHhNcXrCd49hvZRBP/abKM8dQvcM9+4EBWAZh89R7U5P1YDNgBXAs/MbW7udAF/wnzzj7tPQM91+FFfa3jAI4BOOKwNN59XXu3Oj13W3P25YNRc4tp1C8i19E51f9qs+1mqjfNz6rY95toWOJeKvvN5C90LxHcAQL2/tlNyU09Ztj/31lCPe42yJo5ACY4Fqmg7Pq7ZOdZVQZc7QANi6zAfPOMq6E4HA4McDDQwlzl1so+1wTVrfTQ8Vk1N3QYpGDAhkLd/BpbQHlXpBV2vfafaVXnJb7w5rOxVZ+d8anGusl5XAQAn9anstl7eM15a3DMX9AeIow09baZfOhNwrDbqBqcYzECdvEYpKUSnHu9d22eQhip3x5qiOt1AjKHgpy8drGHAhHNhX7XYr9zfDQwFktikA5vMva3KWBBkTu/qx9Xb9TlzCYgSoDPH2KQDprnnOV+Azj7mtQIF2iLaHOfDWrtBqHmVmWutwVXDs/4q2OL5ncJauAecEvaq6qYurqM1NSkmaAuwjC3vgVWAtgqiuPHmAOispzr3+s7qm3Pob1nZH71ec85YlAr3+hs1DiNnfKvLtXFPRTT10E76yz7WnkXLdJXtAkYhOuCOsVH5KsQditfP/kF9LrhlXISNFq6rXXvB9FYAU/fI703ABDblDbdL+dyQkPepIlf9neNf4LqDHmwjMF3VeeYyN++9+dcF415bWC90Z/xpqwDWtqQtu3WqNh9uB0BR/u60+rwCGwjm6FzfZRnfASUGZ3AtALqqauY5rfLtN2NurnA/Y3xVqwOFAcCCVvPR20bn2jFzDoHNaZ1e+c77ugOYsxamNmnHr7LdfmVAAnUP5fuVF2tt0Ebazb1JXys4pB0FSqlOQMmNN8ffbdd3rY3rb4z1pno9oX4pzjuowX6olq8gjEe/VKA31eha3lc+9FbYM8euXa5dThif2SnAAdUExAjQKdi/8x6QzOfs4/oA6R9/6JernfSJ/gLJXXsUwDxrieuUOr3TMwjLM6jFXOp5L/gcpe5Sn3d/aSt9pU1auJfyHHjeAB0FOsDcInD3eIG4MJ3XjJl28Gw9V9huznQBOttZhb6cy87//4ZV1hi819fAnD98HzDn96gZVCcwP0vRbXGGyBQ/21fm6/8/b/3Pf5qwfN4mAJ/Lll27+/w8f6PN32zn33LZHoLm+8C58FxH08x5ngB9S30OFJ/BOa+3VOcJ0E9Snc/wfLZrT8v2zHk+q8tPY9m+4Pn5PwNWWWNw4QEag3NvwCprDD5Ia8AvkJkXfQbp/OGf87rwJYIIvPzCor17AvStaEZLwtW7lNT3U01+AKL/h//4H85mFR/A+BBA36s2n485ZEl/QAW/T7W+ZRF/lzJ+D0R3HmYluXN0yKY+z8/XWxGs+UV760u1Nu6q0BdEP//nxCoP3hjcpT4PeO42rchT4Z1FYD0DdAF7QvRUiqtk9hoqsgVvniNgzDzUqtEF2NatYpYC7LN9BgDwAzMAUuWrAE0Iyw/zXrNsUhtCZf5p6uU6AvgE6QLSzPEOQLS9FO2z6S9b854LETmez4SJtNdrq/Q1mIDjhM+OEeeoNjd3earQBfqqh1WS06+yZf+9nTpfCA/g9HP3qZY277hwmmtwfUG71veOOdBRG3NV/eai1oo+leGCakGyDgR8BhDRXp16VGs7HwmlhelamWshrmI985uzz0ALATJ9UtkuyDdfOOpo15pBE2n7r+W6tvV8JnzXtUBrfwMCzCNuHYJyleyq34XrgmoVsirkHT9zuZtyoGyPu+/2w0ABzuU+SIt3518lunBdRb/W8SrLdXdg3QOTc93QZvrjPUjR/tz1zfyYJxxgZW5qcxsLOc2jXFbbraBXWQ0oAioCzykAaQoQCvBE0UmCsa775quv1RgD2gpKX99ZJ2u3DiATOpoPuxS3V28PFTR9BFgJyQW2wtTKp/w/7lTs1E1f2adCnjpoE21FgUrgQFk493iZ05p2AsX4jPZZtAMvKH70em0Zm8rTfvX2AOeltu/+qM7mfUHyo52K3WPrmldvj1zuQlXGQbiuUl3AV0rjngshtABWuKz9u0BZlbqKZY4B5pnnW5Ww1xesD6V01y3YF4Kb+9p1kfbxAntVw+YT57UQWxhZsLKtxw0cGPnS2/VAW36tww1a4LXKdeapYP3V27Wu/UzbcevSIaACKK7trPYNwmC/eeRZyzwP6Bv1m2pAcM39I0g3eKGO6VQIBYkjj/mwkW/wXHnhu55aRz1H5q+nbZUfvMfN+9P6Vc9rt+/56R6QKRrMle74qbbmfPrOmmGt8DzVncBAEudFpwiOc11rdc7n9I/rCaO1L6fN1U6szTuvOWsQSA44BxRre25udFX0ZYvfwSIj53inROB1gnMKgUFuhc3c78BwIDMq71//7Zs114yxNu7eoyrbtftX/c98qSzXtYPx4XmFVbwuBWyZU2332fqa/gq4UYoDzrVw175dBTrHMi6qzwHf2rcLws2Pzmv6pho9Fe6C97RyF6AvFfr5/8+wyhqD99P/tqk0nxXmx+zV3wEo33dM/ibKd7v599Gt44Hmnse+FKWkOOW00HxWj2/9RpviF63bt8D5vjzn8+97W/nOZ3C+T3Wu8hxobplV5wnO07b9tPA8wXf+7q1le8Jzj/F1XmNLdb7g+fnf+6usMbjwgI7BuTdglTUGH+QozFmNvgXSRyRefJEBpvOFB3U6Xxq2VOj5pS1z5/gl7cwgPY6ZQbjv7wLk96pY3wDhAuWEytn201q2HwPp87W22nxSnbO9+wHAzfbQMQnPc7tVBObz8SdZO90Vldo27uZ+WhD9/J8Tqzx4Y+APDIfU58LFORe6cFtYnUr0OQd6gnVeJ0Q3P7iKaq3VhX/UPWy+O1+09QltVY5nnQJ0PjMfuj/UUxeQDxiB8tR+cm7lRP7D/6WAWkEzlMMNNgSbgDbheAL0tKg3v3ZZ1QPU2v7anM8C5rJc7jznKkyBAuZaF6p6vDCdY9kCyKjDXN/OX0LotNzXjl77eQG0OciF1oJOjgf2sdXaXNhrXm8hqnbiBZIbngu6nbuEuc65UK5gyPVvV9tUWTumAF0hLtdQ8c4+re5VOptb3KAClePahwv+zc1t3nH6os28oF/rdvus5boW5l7XeTUgQpjNfNImAxWcY/vvWnduDVYQOGthryOCCn6t12tt9Pib6127dK4peLdO+2HaAANYVJ873rSF+a8295gZRGCgBsekLT3tc00ZVGEQDvUzh5yrzbwpBkxpwD6DBVzTAl+V6Npal3oS6+RWxQKUOLfWV9s2A80ARsJzleZaJ2vXT1F5D5hjTBlzXwPl+FxLaCAWUM7c2rSh7KYb2tJG4FxZqh99swCVAE3YqrWyrgcAL/IfA/fLphrb7ssvvf3hj32qIBNjR/+Ycz4/pggH7LclO+vL16UUf+LFcayK7HLf+MJOLW7ubnNFM8ZAtXIBefYbI3+2CmjGRKCuDbsW7fbdvOFC77z2sBc/er222s9Tj30xn7ZQVGgu4OaYylX92O9XO4b6v5X0QuCCtK32LsDY0HaooAlyuPLiMVt6QKbqdZX0zIWwtfraddZ6Fd6iZu4+eRz12a+CmB1QQBtH/vRWXvOecajAlWe/MWz6GW9z3vNaoG/Agmtf6Jy5xB0DgCjHAXoZ21qzrZwWGHOM6mOKTgH2Ne3mhdtVRwcSjECEPtZjHFvOtU3eu6Y3yDztAnTt500boPV69fXo9RqjOvbo9V1gSwN6Lcy9P+tvaQcCcL5/0/lcRwE+N3WCSnP6cmxMGpgDgVGMA4sZP+3d6a8BArSLrTbrnM9rQTzH8wxCiY51O1Cd16jDeU4BvSlaptNX1xN9MO0Df5d1wKB/zL3KeZ45leag1f7a33Nu5WRvJTqF81JpTxu1m+fZAygHZBc0f/iTA56z/dDHf6sAOjCcsTAIIAF6Fj575OLnhwJdNXrmQ58B+lYu9BV0ff7/P6yyxuC9uAa21OYzND9JXb6lsM6tx8ygPBXd83YG4fug9lbJ39X2nbNPle71Z1v2hOf5O55bjic150mK8xmaz6pzbNtTcZ7gPFOHKtwSmh/Kc87v0Vu27QnM5/czQM9iXbPqfEt9nls/17LdfOesu5//r/6bP79ynp//82CVNQYXHpAxOPcGrLLG4IO6BgTp/GGfQfqVj/8Xb/ElIL9AzDD98Z/5UH2p4UuRX5D4ssSXpy2QvpVjJxXpm6rsU8DwvfD8fkB0tpNK+1Q5xGeoHrB93m5a1J9mewp1+pYS/VjgwoY6PZXpW9bsmd/cL9pbX94PfdHO6FTyQC2Ifv7Pg1Ue7DFI9fnRy2/9G5XiacmuAnWG4plrfEuRnrm/tyzfBeS+VkWdQFy45jHaoVtngn2VvNq4C9NVpJdy6+YORvDDM9AvIa3QXcAIaKM9lRf4+ht1rApbQfLcJuGy/TS3tnmgBe4FGFsdrUV6AlKV5vYdqMI1VexrkW0QgBCX1467kFjbd1Xeqp9Vmqsc1g5euC/I5TjzYzvuQlVVyMJz7csFzwJ09vPaHPQVwHDjzTq28py36rwAXCu3K897w3CV8Y6RdvQCZseSvtJWgxYMbLA95ggXkmuLz+fOsap+bcpZF94H6YRgnm/V1s6t64B1Q/+EwraJ8wtwtorbgA3qo320SdW5Nu0eb+CH0N3gFu3aBe0cqwU9EJU6PZ4xtU1CcEG2ANy16zrjc4MjdGdgP689h7p0SVBFr4sErw304LrOOecZKFKq8qu3dxbYOD5cvV37zOkNYKYAHAtIt/1zQfWndipdbY6BRUAg9mHZDkDn3mYuAU4CMwAb+1Sh024gOvc+95w27Oa85jWFzwT3gichbx3f7Sg77bYIL0j12O+PHMYCYXM1q9CmLgE0gRsANKBTqd17jgWPvB728q1gZq4E/QWwgZGd8xywZ/5k1pVKdetSTW1+d9pXn7fq3ZzV1GG+afOuC9JVBhsAoBW/+axVKAvN6SfXUfEPuBvW2g1V025dEJ+fUbStFlgPBXTD5LRid65Ub1OPYNzgAKE3x7EeUO3WMazLDoxwTaQCPc9T7W0AiLDYwAHqqhQEfR7vGdNUGDt+WrqXfX/nUne+eB5o7y6MZj9jXCrzBuUU4Sj72TJm7qvc1w3UtTlX2W97RrBKQ3HH2DEo6M767DQK3CtlHd7OAvRPCJ9zqttAzQWOLF98tcZBdbUqcZ0qtM/nNXUYxGH/HYPKK9/BE3Xfdy50HQW4LmPHtcrCvQGyMByIrCrbnOcUILoW7uaLNxjFwAj64RhVoMaVF+scLdtVo7OtYKBPfKaCaD5/9OU6FqAMYAegay9vrnOeTa4v2sn4GoDg3Br8UekbrrxYbaFNvC+43mp1+sqztQIicAz49I1hu24OdArAnOcRRft285dTCC5wKwxn/BKkC9bNge5rzmNcPV6ALryfVegLTJz//w+rrDF4r6rOE5yfpDLP367ytZBclfkWMM/fxk4Dz7fKDNdPgujzcYLxebuvffkbXn52L3btadOe4Nx856YA3QfPE2IDxfcqzieAvmWvvg+cu29Lec7rLcX5aeA52y3VOb+tL1HQ+T8PVlljcOEBG4Nzb8AqawweZJAuRJ+/pFiu/O2PjP18MUlL97R13/cl8S6Ivg+kb4D1LWC+CdNPY+F+gvp7L0A/bb7z03y+ry2nuc6eOhPWC8r3KdO39qW6POcrv2znl2y/2Gek6v/9P/0gWnefxdMM0fmnZ33pPP9nwyoPzt+AWX2ewFmALjyfleXagKcCPc/NMtu5q0r1tcpdLcaFdOZb5jyVx0JR7bYTsHsdgJgAnfaQ+9i8xwI/LcNVMAvQqYPPBGpACxXUWpFrye44CFgzz7s243N+cQMShL5DFd2Kcq4lkLbftEXorQJdmK8qVSts6/QaKpaFpiqRAZVDvd2gVGt4oa3gWSgraKW91E/bhKuqqdkvBBZCl1K7+2d7OK/AW19HtbHvgRpalTtWBSZb+c2YMzdAIo/j85w7AxFoj4EOqrPZZ18E0NrRO4/amadyO0G67XacGGMV2MJkXQJcd5WXu2G5xwJKVebXerjx5lD9q2Knr7SZ+Wd9mz5AFbxw3n67dqg/LeQLjF7/9gA845o9DuZSt26DO3RDUKVvoAF9UP2u6t+gBYM8TFVA+8v+vt0NDBQQ3hfQvfHmDohd2/WZ9gvbtIQWRgt+SjX97LfH8QJOPgPgkQOdZ0BZtT9/pyAVSk/aylj6fFCNzjkULdErp3xDdK7JGI7c2q1C1Upd1TrnA+WEwsJF2kmpfM3tbsHxfKaylLlhjQL/f/Sv/1xdw+eQ48N5XI/6vSaQTXt7FavATsa1APjRLgCAsS2A3YppgaVqbz6rAIebd+qchOtcSxWwltk1Fg31+ZwxM0+1CnTmogBtW10LRrkux7LlXM7hMy217cOAs8Dzo9dHIEBa6nMubdLiXsWuqmYDIDK3eQY3mP9beEw9BguY15p2seV9KZsjQMD6KuClx0SgmvnmDR4Y0L6hr1CcuWUMhexCX+dJcK+qmXVTecj7eoJw0wgAfwk6UXU+7OoffWao0TnG87S559wxNt1eFeVsBbqCaK9pKWX9lRdL8ezaciv8pVTud+zx273AetN9oP429DWYZ9YmY8D6ow5t2mk3wNm845Vz/urtql/7dpXqBEWUyvz/Z+/9fi47z/O8PyFnDpCj1oDR+MSxVCMlEqWt0kYMhEkRyzARoTZrp5aMqHFBhSBh/SKGogbEjDigaI7wUaRGoij+MoehqbJsLVIOKwIyqdKJncRtDfSgtVAUOStgI6dicd37uRafebnW3ntISR/JeQ9e7L3XXutd73rWu9a3v3U99/18ancvMQYAbZX7vQG/oza/7aFA8NQ9r2V877jZlmMn5pn/BdbjrNBU6wBjADSfY43/a58KPP/0+a9EIf6hX/54ADv9Lm4Q557LuG0mH+Q4K4HA+vb8DWFbgHnOwT07N4rE+M4ndvenukeZOIHyXdgN1NaiXcV5B+gsI1Z8z3qsb63z3limcl8YL3RXge7+ugJdiM53//A3Pv0DILoAff6vePr/Q8w2Y/BOg+eHwPlYQ3wfKB7V3h2KrwHyLeX3mvp8fH62r6b5vmeph/a/1dbs28f9rKnP99U4F5pr174GzUd4rqPpm2qcD9DcNj6P1j5daN7hue+78rwr3nndgudbwPxYy/bTvh5mmzGYc+DMdReDUx/AbDMG1ytIH9XowvQxK28NoPNjqkP0NVv3oyzd91mbbwDzt2TjfgBaW//8KsX2IcC9ZcO+tc3WmLficC2gXrX8AMvXrNq3bNx7pmq35N/Kpt3KUu0/ukcr969fuvhD/tmZPz5P/34w2/WtPh9rmKv0FWp3JfkIx0eY3j93y3ZV48JngR1tUZ4XiGMd4Vu3RhfsC7Lp1xrU1jNmv2zLdwAywBiQDDCk6lQluDWuhfZANqGm9sfaptPYTsjqWFT89iQCEwOErqqAtU/Xelyoy/6iEHvk1WzPZ+Griu1eQ137bJMB+J6+jJN10oWpbOc67l+gzjJtvR2vCnVBq/GyLrh1w3n1WFV2W5udffea7VqGq3wXtLNfABJj0Aad91FXomIvtX6vs802xEfQrLU651I473paslsOQLtvIa8q/MWm/LHXsm/PkesKe01S0NKd92xrMoLqeGKh8nqpHf/Q95ZjsSSA58DvtStXpS14VX0u9GY7obbuBCY15Ngq6SDn9t4XlnPEvPbcM4ctMcD+BOYmCjiXPI9Zr1TmJhpoe99rsS8OAJdfXs5rwNb9u/hbk53jV20OIAqwLdW9NXqFoLwChrTpphEr+qdf+hOwAcW4lgHoJM9wHwAsAdD5rLqY9xyDyk5AoXPRmt7CY4CjEBnwBBQCqAnPgVWB52X7vSh5qwa2sWfMJEMQv9ihX3x+AfkcH98xnvf94i2LklaHB/bBe/YZpfxT39+pcsuaPWr/OgYBJXESti8AvYCcaniWGbck6jSoHTVtWXKb7CAAV7Edh4sCx8JoQb5KY2ttq5DXmjuK44pZlLpVJ5v3KmZVnQtxWV9IL8QWOgszc5yVFGBygXbngY2MtfpdIDhq8lIRu51j9JVx53hrexMVYp1fammtzU1gWJIBan8mKKjI51iAvB2gq74WGLN+dw6gH+ecIJX5uCSWfO7RjFf1uWCcz6h9VZ4LhgX+9i38ZRzE2/Fqr64Vfq9pzjgCfAt491rmi4U+tcKrlMECybk+ym2iK9+tPS+s9xxzLUdhfv6ZvKquJoYc45LoUkkIxDgJH+y/xqJ6XjW8inJf4wpR9u0AXpYBjYkXy/hMMyHAeU9f2qkL8/ku5wBHgILwgGdAOnHiFXtzwDTxAyxjkU6MuBcAuzmn9APopjZ6rzkPdF/OTZUn0NbfJIUkfZQrBftgG/qhbz7Tr+pzwPV/+is7pbl28tRkF6JbH53GsbA+c2qE5zSODYhurXPV6mt27S5jHI5lzcZ9gorT/z9ithmD05wDvTwl8JxnSX/5yree7uB8C1ivfXetbR/APrZZu3zLdr2PUXX5qCxfA+aKaGwjQD9Wee7zuz9/9PNvqm8+Nuudb9U4Hy3bdTd9EzxvDWX6WOt8BNuj4ny0ah/Xz35bn2Md9f4qjB/BOZbtU3U+73/zb+CcAze+Q2Jw6gOYbcbgepoDx9ZHp639wKBp6T4q0TtEP5QduQrSN9TnI0TfVJlvfXcIsI8K9EOAfK0e+j5ovpUkcAwwX/t+Y1+jCn20avcYu8q8W7evAfNx2b46UfsU6KMKnTk366Gf/v1gtvf+/V71OfB8VJ8LpDtAF3oKi9cAurC8q9HXYLvL7Ecrbq2vBcQq1IXVAnhBIf0A+7RNV0GufTuvqolZTp88WAc2WT/a5IBu0w2gBB4BTVTIal+spa5Fq1HMAAAgAElEQVQxMVa9/rkQ3bHyHaCl256rIBcqCynZb6DKyXezjSpY6xmrtDapoCu7TSJgH4xFhTff0YcKZQFnV6hb2519C0q7GlqortraxAEaYxZw+6rduiBaYK+6P+Mua+i+PwBHlPFlg606eam53hT9bKN1ehIbCpRr4S5kpmkl7zzuSmiTEljme9bX/cAEC0Gz9d1V43sOjYmK7wD0UpIH/JRtfSBejXOpBV9OCKkp/uSfBLAC76yVLpD3nLtfllnHmzgI86MyLLiu2wDLaFr6Wy9+qXFe4N9a7T1Zodu201Tlsy/vFe6XJhgn1lxbHoc14Im9wDs1ikulz7EAewS5QC/gOaCKuC1wTzVqqZm1v6ZPYJVqcWKI0hwLdyA67wFJwCgUmazLe5NuaIyPV64ZobnqVeAbr4vC9fYHFvgFwGLcQCvWE2r3Gtg0lnE/EZJ7fXAcgHwAPutxThnjX/kbZwLJ6JN1hcYLsH/k1XzWPt6a2Z5z6z1rde1xsX/hudb4SWIoS/YkMjy4g8C6JvA9+13U0ReeWyAl3zEOgbr1z1UAx+ocFW7Vxwbysa2QmxgLP1VFq3zmM98RY8ZKv6qhBcsmV/Qa6Yu6uwC78Jv+WE5f1vbuQDVAF7WwiQ+UTyjVstb0jCfW+2Xpri0/+7G+vaBduM4r49WqXPW/f19UuDtnAu8LxhNzkyS0fDc5wWsl57gU5iYIAESZrxwj15IqaECudvZj/Wthdxwfqh59P/7cw6yLXustyREVR44l5+zeFzIO69fzXZwFzj+z1ERXRd3LGQjU+Rx1fZVpMJ581nHAmvAZ38lzWUeAHKeHqv/NulxTjIuYex6WOu8VF65r3pvswXhZDvTlekcVnuv+toeWxAPAseubDMIxsT8TBLT1Jwax0T97OQCb/aXkwO33xXUCiP75Lz8V0AyczvVVzgc6IzCengDhvk12YI6wPrHinspcZ1yMp8eQY2P8qNlZXwCuFbvwnNbhOQp04DrroUDvNu70YT/at7NcgC5c93O3c+/10LuiXYD+Sx//zPenCv30/4+YbcbgnWTZruoceP7vX/v9Pxut1tcg+iGw/S//1b86CqBvQeljQfuayn3tu/5ZQL4GzNeW9WeA7mNNAd/rrI+K87Ua5x2ad3g+AmyeHaM2F6D7/ip4PgBzXjvc3gfPRwX6CM5H1fkI5LeebXdwfkh1znw87WtithmDOQfOXLcxOPUBzDZjcD3OgS1b927tbus/MPyxJES/FiX6+AN0+bG3pdLe0/ZB9E2L930gu0DzQYDea6Mfa/O+D4gfa+vevkvMxs8ravRRXd4bGahC9FFtPmanjj+896nOu/J8DaKrRO9W7vPH6OnfD2Z7bz90wLq9q887QB9t3EcgPoLxEaB3WN4/C8H9bN/W7Ba4Cu6AUHx2vRGgs75jdwxCOxrQR8UugI4H5wAq1tdiWiCpohiIpbpbcG2dV2uDAywEph6/ML7Xpu4239qnL7bhJ3+wKLhjwX7vC4vquVtcqz7Xjlz19qJAL9DMeASf7ouxq57WCh8YBFzTaltoqtLZuJicwHqsr/280FRQro28fegEoAI7wPax17JvoKBW74B0obvgXZDa66oLzR2rkNhkAuui873Hy75MZiA+KutVNpvAQIy1NlchrR16LxdgXXdV94zHeuM5p1rIF8QHTuoSkPNHTetS2mcePvLqoup3fppIQZ9CaJpKbPr2eIXiNMCa89hEAONBHOiT9YBNxMKa6LwCcD0Ga7r3EgPdbcBzSiy4Lp1/nvdFdY+6vpwRPDb2RwwYRyz6Aaec55q7xIv3QB/V2V1hK3QCAMYWuRTEqiuF5bGAps+L38r84prlegagq0AHmMfO+lPfzDrcD+I6UfAcKAlksnYwUE5lOepwXmM7fn5ndw3IQoEqBGQsxNp65UJtzpMW+gJf9peyAqVYDRh/cJcQAexnHwB0IB3LLSGxKMVr7sddoUC27gU6GFjPXMW5FuHW3lapbPxMutGa3L6ZE0JdYkTsrFuu8rpb0qu+Dkj++qvpX2W39vX0I3SnH7YBoKvcjSL67meXGs/OAwEo/ff4qmBmP7x2OMtnFeTWg2ZMnEOt1LUM77XgA8+Js9uSEHDhuZwzEyNYn7mtFbt29q7HGJwXvT638dE1QGeBRWn90PcyF4gNxxcngIKf1rmPAryAtcBdlTfxswY6/QEkk5hQwJxzz9zVVpxYqJQWhGu3bpJKt24Xmvfa7v6tZBkxs1Z8xlTxAOjrBMC5s+4849Ke3vgRE47d+atav6+jC4XzyLnBd+y/l1wQoFs2gWvLJAoV+MBx4mbJgcDxSpbBct0a5nzHMmLHvoHQWqNbzoDxRNXNvKrEjNjNf/ZSXvmOpkKb+xQ27qqvgdWs5/xhP47bc8dxCcq5Z2jnTxzyvizlueYYI/dAFfkq5hkz36FGF1hb4xxFPE143mugqw63Vvpiuf7J31n68bOQnOMSjrtNB+kCeQF7b12FzrOKqUI//f8pZpsxeKdYtgvP90HoLUje3x9jjS6s3rfNtQL2tXXXVOdjqcYttfmW8nztmd4+u/YRnHdgrl37CM2F5B2c9zbWOheY8zoqwzs8H2ubr9U7HyE4r4LzbgW/Bs/X2ho4p/k3aMLzeQ+cfwfnHLjxlGNw6gOYbcbgelcnvl2QPlq6H1Kkb9kOXStEP2T1vgnQNwD5VQB9n836AYi+HMuWyn5rHIcg+gEV/GI932zot2zaR4g+/sgeM1bHzNV9AL2D8xGiY+GOEl07pKlCP/37wGzXh3V7V58Ly33fbdY7tB4h+AjIfRUuj993eC4Yp3+AphDUesoqH4WBqsQD2guq9rrq7EvFLJ95SO4+AWRAKR7CA+xYDzihTTfgTkUz+0lt1aoTbc1dxggoEXz1YxKWa2feIaRq414LXVgb++x7X0j/NOuca0nuPoXH2n0HaBdEU73MMh6yW8Oa9aK0LhAKyBKgq+52bMJbleImInRLb2FpB6uMvyvp2U61tKp3xqRCXqtwldfWxk6fTaHt8VrjXXtxFeICfeu/0xewxKQKY8155/hUtucYASoFxoyfSQn2qeI84LDKCwjltU0XtgNLM4aC1YyPsQjQacxj69THqrogvlbnHre1vBmXoFrLcyE66wdKF6z22mFszAP6sRyBCRTEBHDEumwbCFsW/sbC8V01RwvimcDAnFDtbkKF/S915Otc9vnGMXEtEXvV7wJ8VfeqorW85rpQGQssAgIBuwJ8S0EcgHnppWU7+otq98HdfYSxWwOdBiRS5cz+gXOCdGtqA6wAStpi0xfrxP64gFMHlAG+DZiaBEPzHiLE1j6dfRFj66yzz5/+2FdyzIB67lWoUKNAv/2BxYo/MUWBf+mlnA/dJYB1HI9JCsRMVbT3FuGkkNe68tZHN4Ycr7XfY8v/2GtZljncan0TH463H2Oui7JmV4GtKlvALNxX3b4kFFTShBA72xL/sg0XcmtDrbJbUGmdcq3zhb8ce+ph37NTo3OsJg2oxqUP43pVTXMSPU52CnnrvrO9SnsTA1gWsMz2l156I86lpmZ8zCFriQv8VfzTtNjvqn1dABiD8FwnFet+R71cJQ60Cdf+HggJZAUCq5pWrSwsNxmF86M7gHNDECvodz2t1dNHWdKr5vZc8WocAqirzjzAmO+Zr84768O7/6XuebPhJy6s0x0mrOfNNolHzQtimXNWCQvGiWOxTIGW7cJ1YgIY517DGI2Z8QPs8lnLciC2IJ1YkxhAco71yHWgyNy44xv5PskbzQUgtuu337dYwwOwAczcpwDKwGreJ/Hry8/vgHvBfdXvHHdiU84E7Ifj537KfYx7WxwZSqVvEoHzifeOTYBOE6DzGoh+8ycXeE5pCeLRFeUdevO+W8HTVJcLyPt2rsf+7JeGGr9D9l4LnecTsxb66f9PMduMwWn8HzvCc8E5z7VGiN7bvu/WQPhaDXFg+1gHfQuUHwLoa/XJ1953IL4PoO+re96TCtZU5+NzO23b1xTnvc55rzMuMBeI+74D8qjMV+D5WltThK8Bc9+PynfrnI/1znsbbdvX7No7PJ9/e+Y9b/7dm3PgxndYDE59ALPNGFzvc6CD9G7t3u3d94F0f2CNivQRpL8diH5IcX7Ion0TiB8D0I8A2FfVTT8Cdu8F/Efuc4T1HZyv2TiNKnSWCdFVoXeI7rIRqu+rfb6mOF9ToKtCn5ZIp3/9z/bejAH3cxweUJ//ztOvPKP6XBDeIXmH3CNU7+/HOue9fvpWHfQO2YX01m/utb67DXveF6TWmtv63vTjflyX5cAmreKBUgA04Q3wJ4D7sdeyjjWorTMN4IgVcalkhSXdDlyo2uG+dvSqf1UyC54F1IJ69sexAKgAi+ynW8jzwNux8Vm7aSAA6wXWVM1r67ar6KZvx6OlufbaKqcZh/XfewKAiQlCfNXYHrMgl8+MS4AeS/VH/nhRehNna9F3AK3i3zrhJhiokNZi3Xj3Pk240Pre+HkuBfzEw30Ar7Rl12Y9UL3ZvKve1lK9lzLQxt3zSOsxt14980VFcxS5NX9iaX3ppYBiLcwXm/pKJLAmvBC+26ub9GDcXabS2215T/9ua7yErZzPfryeD2CL88Na9R4jfaqWNxHCea0a3+tOQH+V68G9L+S4ma8mD1jX2eMUokWJ+qlvBnBbCxtIBJgCmAPKBOe+pj73nU+kL8GZan2uexToXPtAaeAjKk+sklnX68j6yWzbrb4Fh7nWLu4ALcsD4LB3Pnt5sU7Wcpx4aJWudbf1ya35zHWda/nxl3cw6wuXMzbhJGP89PmvBKDTN8tUtVvmQXcDYbdOB0miAJATm6p9nPFYr7rgbNTJBdqFtkJPreKFu+5rrA2upTixVlWtvXicFi692cab86Z9On1qD7+Mo9TJ2rELawGO9KPCWHUz7wGAnjO36X1pr+/4tNMmlkJ367xrjc56ca+okgFCfvrSmUBbfi3yWZfYsZ5JICqyBfBatptwYWKFdbwFxDoNsJ226QJPxsv5EXSbnKCKPI4CZZdOU61s/W1rkLOtAN3a4yrKcx7LgSXHUokTxDFwuFTVnlct3AXaWolbH1xQLSC3lnn+JlcsGIP2/XzmGIX0WrknvuUWISTnfuJ5j9q94u75tn/Ws5a7IDqxuPh8ElVi4f65RzOPtB3nPQCdGALQaQB037Odc0tQzrgZx5JYcfH57C827Hd8Y3dvu/2B3D8E80JmIHIs1e/4YmzT2cakodxjPntpud8I740d93H2DyQ3AYE4W7bA8+H84b6cuUsZg7qfcd9RJW6Nc6D5qD5nnAJ2VegdnAvSVaMDwgHxgnNhukp048Brr4uucn1Uod9867lfmir00/+/YrYZg9P4P3YNnm9B8P79tdQtX4PXIzgXpq8p0tdU4Pvg+Na6IyDXdXILnq+B+xGa73t2t1XrfITna/XNu9JbWN6V5B2gd7A+1kbvn91Xfx3rk/dtVZaPdu1bdc6PVZ3zLHyqzuf9bv7Nm3PgxndgDE59ALPNGMw58MYc6CCdH60jSO8wvdekGa3duyp9y9qd161My7eqRN8L0PdAa/YbgL5l3b72fgTmhz536H1IYT6Mbe/7AuUjPO+K9F4Tvb+ONdHH92s/wtcU6FuK87XG/ECJTpanNu7Mt2mNNO/F8178o0uI6urz0bpd+N3rjQuHR5V3B+JbAL3XRu/LO4y3xrpW4b1mNxBIMAn80v6bPrrV9mgfL9yzfjrfW1sYmMaDaB4aR5VYgNmaziqxVZDysJkH0tpKAzJULHfbeZtW8CYPqDAXYHu8LmeMAu1unSyo56G/ClMt2QNIy/4ZSKu6GUCsSlS1uIpi4aYx67Xj2V6VttBTuO06QCSTHKz3bXwFtUJtj0tFMf0zNpXc2sRzfunTRAjrmvOqKplXjkfgLQxWda5VuSCdmLAfoTtjU0XNcmKn9Tpx5vxzbMSN8aqm9pyxPttxPFfFqBIPBPSqwYVffs+6JgZwDEKdflx9/i016evcOieFwSYSCLYX4F/nMfD4wT9cEhwE1cbHPtjWmJoYIKDvlvgmV/RyB7w34cJzzXocjzb2qvldrqW9SREcm8paAKG12QWzqoVVBWvRDCACpLOeQH1RTVetaK3FiQH7U3nOPYCG4pMHnrxXRS3MVxHLdiqbta5mXCnFUHbHgDbBOe+F6vRJHOgTYEUfqeNcynGV2Rwz9yRigfIctTljUhFLjAXoHKe144mr4J/+GDP9aHPdLdTpJ/etAv/aaAsjF1v0spuO0hkr/bNXdhD+3FO5NlJ7u1Tg1gXnvdsE1la/bMu5BCb2muqc79SiLvDHWDmHwnDreHNsJikIuQWlgmJrtwNvF5eAsi4XvGsPLqBW6S9spHmOrT0u8LfWe+KJ8p9a3g2Am2DB9wGlWOcX8OY9iRCqsx2roF3Qa/1uEwJYznlMQgEJFSe7+5JqfpXc1vwOZK9zxTn2e23CY6lOPWxU+Lc/EPgrFA70bcpxvvN6Mn5CX+uJWzOc/hgnx29tdJ0CtAsX6i9Q/c4nlsQB+9CKnfuN59QxM06+p++oq8s5wGuc2HCP8VyY9KH6mu2457DcJIokvJBkU+4ES03xssC3PECvBU/cAOckt9Cs861tO++tlx5Yf8+VgG/H5fxjTnNM7JNX7h/0C1AX0gvvX/jOrgY663D9/0f/xX+zxJWxcZ6SFFGJO46XOUOMcq+tYxO8J2kLl4QvXF7miyUpdIjgVXU8xwDgBmQDy20o0G+46dbUPu/qdF61nBeY97roqs2F4Xz2lfXYLmr737ywSypotdCF8G7v514LHaAxLXTn/4rzf8X3/hzgOj8Ez9cs2o+xUd+nON8HvvdB8i0wvk80ND7/HN8fUpv3Z3WHntmNAH2r1vk+u/Zu0T7WMO+1zIXlvf3eL/+9N8HyDrbX6ptvKc47OO8wf6t++thYdw2cz1rnp3/dzzZjMOfAmYMxmEGaF8qcA+9gkL5m795B+lo2IK+jKn2E6aO9+9qPy02L8y0V+RY831d7fE19fshC/Qh79aPWP0aBfqjO+gDKuxreH9zHQHTbCNGpx3QtWaxbwHx8ZW4A0PmnCGsuIfp8MHL61/5s7+4YjPC8W7ePKttu0w4A6zC9A/Gx/vmoUO8AXXDebdsF6AJKLYpVoQM7hHKqYYW4ttFC3uPxOABegGPW4QE9oIoHzDTfA6EAPlFulW04+1psZasus2p0oXBXZKswFzhbh1vg2NXLwm3XUzls7esO01UkCu5VLGvNHmB5slP2dqW8imZrr6taVsluDXTrjrOtivQO+TkGbdR7/W9V3cLh1JGvutds0wEt+7I2uaBcBb/W4ekXC3ZsoCtGAkcTEgT1zAlV5CY3dLtxwT9NGGy9cVX+2pYLp3m1DrcqfwCmCRI6Ijh2EwEE5PSpOj7w8ms7eCzI19YZcMG8Y6yAXhM2xgQCoKq1rlWZa5XfnQOsIc+xBKQ+9f1dzfm6VjgGjt1yBcJ3beHZxnNpAoKxja1+zSPPiY4NXstCdJMNhOyCeue6ynjHybzWTpz5qnV7zkkti036vS8sltE263urltWiXHU7fQiaTb6hcQ8A/LFO6myfvZzYaN/OssWivOp50+iD8RJbgRMQLIC3rJ2F6kCqDlVV2WrbHhBetYyBW0uiTkFM9sc6wDdgOtDqpz7wq1nmtUCcGJN23zT66Spo76Wxx0aZfP6ZHIMgHegmTBZUCmlTB72gGtDO8Qbclr25MbA2s+p11fDCUdbjvHBNpBb0XTtlr8BcVbL15mnEkc8oaKPwrnUE5Jz7zImyq/b+qM24dbhVUFt/XAhvvXNiHbX5yXeXOHieWI99c28xMSWAvZTffEdMumX7onIvcMoyIbL7YY7pkJBrgKSIKilCf8wxzpVwXNt7VdQLrG428EmMuPeF5TuBcFTO9z2/JHpYa1tQG8VxJSgwh72Weg10Vfw6CkRlXUpryx0I9LXMF2izvQkvlkXwWl4SIyreHKfrso71y7XH137dc0psvb54ZU71mt9Cf+eBcbEWPM15qMNFV+cTDyEyMJikGyAvy1kG6NUav8fTY9f+37lCX+xTBXr6A3aXop0+6Yd+ccm4/+GdHT0g+Wc//ImMKZbud+3GyraOhf2mvjklIR5+MWMwGWlR39/7wqJMF7LrwsN1ZkJeV7UzHhXoqMaF6DfcdGsay7VeV0Wu/Tyf+d748dnxCta7tTvHSRO2j5/7NirQsXK3FjrPImYt9NP/P2O2GYOfxP+xPB9ag+eHbNKPVaDvg+MjtF4D2Vt1yY+B7PtqmK8B9mMt2o99Zrev1vk+cL6oypvyvMPzbunOdjS34X1Xso9lQdeU5h2ej9C827aPdu0jPPf77qg6gvNp1z7va/Nv25wDN74LYnDqA5htxmDOgbdWJ31Uo/uDhR9SgvSuSu9QdQ2m9x+0b7I8PxZQ77Nq33j/JvX5lu36EW1VIX6oDnt7fdM+e731PRC9Q/H+fklGGOzcO0DvP8hHkL6vhhLn8C8uf+lNAF33gQ7Nx7pKKNC1ccdiGtg3Ifq8F8978Y/mwYPW7QHoBc+FzgL0rh4XAAvLul37CNE7dFd9PVq9dwV6V6hbbxsIBMwCuFjP25q/KtEF145B+K4KWXguNAeS8DkA/eyVBSgBB3mIbB1cobo1pYXUfMc61iBP7dsC28JVIaYw3aSAUZ0u/DeWHE+3RAdwBmpffnmpCwxQSf1XrMELxJpgwPFa29i61dbwVdEr0BVkcgzWpGY7gadQVhW0yxw3/QjWrUkvZKdfzp1KaPsBjrAfGmOwrrbbaDHPOUq8yvJYa3bPgXBXkK+KmVjxmTmjNb6wV4W0avYsv/zycq6EvMwzYsOxMhbrzZss0K36jb+qefumL/rh+LV8dr7oGsB2zB1hsfFnTI7FxAnhp0Dc+u181jreY1P1z/k2CcHzoNU62wrQe014xhE78KYutwyBSQEsIy66GljTXThvQgHnIEkUdd545RrkeJZ68ZWkwXGzbyE677W6tgnJu7W0NtAdoHNsbCusNdaeJ+AV8Jwa6IAp7jdA0J/7lXMBSYHnBcaB6CqmOY+Mr9vMB3A+/vJivw4EAzgBmlSfp3Z6wVaBtNehKtuoQUsBzv6JE8BKW3Ma++bcAdcA6MSAfhfledXOJqYqt60Driqc/QtiTQrIvaJU2sJllbdsR/xUM6to1uK8W1ELk1nea3azDvPU+5dAMc4aFTcArNsKtQF/wj+O3brNfKfdusrlAHXmSR1TEpsK4hsHIWaSHAps8pk4xkK/lNq8pwn9hfDC6LhSVPkB+uWcaZWvXT7baNlP/ExiIA46EjhW57zW5pwPIa8JJQHklTBl7KOAL/cClf5855icc5xH1fuqq4G01kPXbpw4WCedMaqa5nwwHvbncTifFrv8BtAteWDtel0P+hwDinfrdhM2tLsnBr10A/OvQ2jr2jsPdGVh2WItD1yvhAoTVmJhbjIM8L9cA4zPm2q/37ZTdhOXgO7zu8QCILkgmM+8Aop5zzbUISfOKYdQ42NM1iVn34BrmlbwzG/OA+MHmltvnX1zLr546avZPwp0ALq10pMocO6pJSmCZbznnkHc4uBAIg9lXQqcm+SiS4TrLA4xX34jQULr/UD6smEHXneArvpcQI5K3LrlqtA5FpXivO/1ztlO4G69dBrbdZU5/XZreLf3XADRpwp9/n84/z+8PuaAzxxVn//lK996+t/9D1/7fw8B830K7WPV51sAfB8ot1E+6ND2x6rLjz2esa75qDTfV25xDZ53R1FhtyB8VJZ323af+3Z43sG7IN0+uz37Gjxfg9+j0vwYcN6h+5ZVewfnMznr9K//2WYM5hw4czAGM0jzQplz4F0M0kdbd380+eqPqtHifayX7o+8tR+2i7q6qayPUmcfC97t91qU38fC8y31+yFF+YH+R/X5qCy3xvk+1fkaPDf+1j9Hgd5/qF9L/fOuOBea9/c0ADqQD9hH4x+m+QP29K/32d69MRjV5yM8F2ILtYW9HXCv1Tvv9uldZd6XCbnXlOnaevMKTLJONXCgw3T3pRqd99pUC3Zp7Ift6Nv66cJqHtoD0aJ+u3+n9hZo8ln4pqU4fQnXVVHzOSr5AofsW5gqTHccQlfV370+OADA8fPK+KxtzrYmEDB+4SzrAfiEyNbA5jiE00BPVcxakhNLITCfVT9bt9zxCtc7VLUud1d1C1lZJpxWHa4FvPCV71UEc16FrJwT+tDqW1t0ATJjty+BsWOlT/pynlhX3e90EeDVJJAoWkstbmIA+wOKeqwmKXjudRPw/KUW8skrV6nBja926Sr9hOjCdd5b95xjU9ka1X6p3q15zzLeC/cz14BrNW7mCcestX+3ndfNwNrsztNYaD/y6pJYoCq/q+MZB/s0RiYy6I5gkosx0l1Bm3yTL7iWLKPAMlX/9mfiiirxOBGUC4RwnO8EmcAt1amquG0qdFW16kig8wDjAJ6rQuf6BxABzAFsxIN1osR88o+W2uGCOJ0dgIi5Zr78fKAh67NMm2frKLOcdegrAPPuZ5dzL/QVysYpgvhWXWcA25cee2EBzMQFsIaFM7CPsQSSnryyKEitT26987gafGlnPU7/JgG5Tx01BJmCysDpUnFrE55YFKi3tri25K7HcmKQ+tyVvBMAXjXAVWpbL73baQeIVk12jp1jFoJ3xbjnw/kQeFu1ygPzuW6+vAPixA44SF8cp9biQk37MhlAu3nWF2ZrDZ/zdfLKTt1b+wggLRt85hjHKYDXQp9EAMG2temXeu51HWqzb4JB4GbNCQG60J51emxYztxKwkeBYW3hORfEknIAUXxTS5ySAAVdaQv0rTrc1klXhc85oQ+TUrTCj1K/xqKKXptw5oQw2xrk2rSbqKHy21rtAl4TFExmix1+JX1wTCYKaKnPdiYMCMVVpbO+ZZ1KcMYAACAASURBVAw4DyYkCOwZk8sYM/cQYmLtcsatAhvwa+MaJ/lABb8gnfVIUFBhb3KBySeO0WQDLdKF41xTSWioOuaqrQHV3J+wcn/fL96ywPrYvp+9nPPHOONocLKD4ib7cZxAeK5f4srnJN8UNCeWzA9LK9AYO+dcy3nmA0kCQOxYtw8Anc+9Lnm3WAeEsy2fBeiCb45NNTmJA9Y6F55bA151Ot+zH63cO0TvtdCnCv30/8eYbcbgxzkHRnj+71/7/T97OzbsWxD6kDJ8TRG+BsxHcL4G0rcA+hY431fjfbRs34Lm+5wij1Ged/g9Ks/7KxC7K859/vs/f/a/vgqaj2rztdYdTdfU5r3eeYfnox28Y9hX45w2S0jOe9n8ezbnwI3vwhic+gBmmzGYc+DaIXqvkT6q0TtMX2rl3PzB/NjpqvQ1mL6mSPcH5Kiy3gTro3L7kIrb5W/Rmn2rLrnvj6l5ftW6h2D6Cjjv0HwLlnfF+QjQOzzv0LwvW/uhvqZAX1Ob9x/qyw/lSxd/GFuugug0lejTyn3el+d9+e2rz6l93qG5VurdWl0wPdYw7wr0UY0+1j7v/apO7/AcoAUMFBTzoFyIzHvtjbVUFyiqOO91xwXl7AtAQT82twEuAdDykP9rO2AKILF+tTBSxa2gk4fS/UG/ttxdhd1tz7Vy7wC2K5qFjrx2MBw4WzCV/QcEPLJTELNvxq99edTN1HtttuXW4Oa4iB/vuw23QFqFsoCf74iTY+BV63YBvyr5JCXUtsvxlmW50Ny5o/JcKOx5VOVtbGJnXyBZYE+coyJ88o8W6KvKvNdqFwKzP0GviQS9pnhU6o+9tqjMTWzQ2t1ttTi3nEHU/rUu67C9fTAWYm0ddC3lVS/3JBDPoyCz2/GrUGa/1md3DjiHWCaYZl/0AyQymUJrffZn7WTWtcY76xAzbdTpX6At9LaePa+xMj95ZVmHV86D59050RM3LEmgctbyD8THxAPPK/CPWLEN3yc5pWpBC4cBRqpzgecBbKVA5zMAzDrZ1hm3FAPnmnExXwHoNCzROX7gOe8BRrwyFo7H+05qTlN7uhIKOJfcNzh+xgPYorF/4FlU6FVP2prQgrjucqEaWeVt1O6VMAIA+/o/fzHjEezT/vZH/knskq2/rTJZaM55op+UnMBhoyyx7beDWc6RdaYFmL7POSq4b/IArwGnl3avqutVFxMr9i2wZCz0rxODamziDURn2/+uAUWTH7S5ZxsV3jmGpnjXslybcMdAn/QtPGa5imzBKn1pR65bgbbuAlvt74W6KtNjxV/3/tS0L1vsANyqT853bMsrMWE+BfhWUkFAZam3rTGfYy0nk8VFhASEi7vEBbblO8ZN3LXAV+kvTBdkq9ZOzO74xlIHnJhYrzv26FiV3/lEACzLWC/KaSze73p0AajG3iQIATrni7GqULfGuC4G2qqzjPkfK/lyD3D+aMmvGlrHhyQ4lLocMGy8ArcLfgvIM3eZa19+A6BzfhyPcyIW8JUQ4vh0AFB9bh3x5Ri4dsvSPSrxslcHmAOv+Y6Y8jkJNGx7+wNLMoLzmLFYMoL9ETNV7tZUV+GuvT6fgeasAwRnHQC6sJ79sCyfGXvVPuca012H+aGjAzHhHkTMuK8QY0tdBKKXS4wg3vrwAG1BtvAccN7roasSp6lW57027oLuDtBVl9O6El27dr/jc9/Geun2JUzPd7MW+vy/aP5v/J5/xsj/sFq3A88F6Icg89tpxyjMt5pOliM4Hxs12vdZu29B8kNukG9VdX7Itr1D9LGeeVefj3btwnO37wD9GHjeAfhY29za68dYtlvrnOfRlIzs8Lw7Xs7njad/7c82YzDnwJlrisEM2Lxo5hx4l86BQ7bu448e2j3/+MOrqvSteum9Tnr/oazV+F6g3tpYJ3wVoG8p1I9Qmo9128flIyB/03Z9nEMd89W+hprmxqK/bgF0YbnLe0zH+uf9dV89pUPqc0F6r23E56d+9/HXU6MZpezTrzxz2/3PfgaIzg/b057fs80YvJfU56PFunC71zzvKvN98Hy0dO9Qfq11JXtAalmNR1FcqjNtrAWAqoEFnEJV+1Atrepd+3ZgvQ+06VP1MOCQvlVdA5CE9XzPg+fUai21ljXKWVcVtSpaVdAsV40uIBYsd0W6cFR4p/12xlZwTIU7+xWWCWNZr9eMF8pyPEvt7Ie+90aSQSngBZ1dKU6MksRQx6AFvmPtymf6VIWu+ji23QUtPRfWGRfMmkjQv+tg3/HHZr1eVeQbB5MbtBK3nrnHQh+sCzToyvGAUY65Ysw+rcEubFQpT3/sGxg9nl/hM+NQXQ2UZV6ZkACgsf68jbEEnl94blGnC8+tbR0IXUkc7EMFO3F3mUr/qC1PduDdsTsfrOltrOmfvlmuUtxkDZNUOixnXMTNz8bA9/06MymC16WcQVm16wTAeiq5OS/AG84r8QCWqeYGMqls1qJdaJ565+eeCwQUpgtX+V5oG1BdSRSB84+/vAB04gigBhwBq4FLgCcTbYSljIk48hmIzdh45XMUpfdcCdwCaGmlHFBIjeU7d9bQ1pBmLliXm2PjmHW1UJHOueT4EpfHX97dgx57LWMDlAGurLXNnCCmgYkFv4hzyjxUHWrHv9RjrsQf+hBqMm+NIZ/ZRmistXjmyYXde+uUW9PZet/OLwGx9vuqq4mZ9cSJjQBdK3dhqrBecG6tay2x6U/1uckK9kXMrA9uDFiHsVrL3XVVgvdzIuBWNU9sVKsHgnOtlEW8qnvGqlU4+2Z8XpM6Sah6N1lB4K4C3kQnlicJqZTVJsEI6QPGKxlBKGz9c48r57QsuJlLJhLc8N9eCCgnHqqWo0qvV2tes45uBIviu5IjPFZguzB8sYy/sFP7W1Pcv5Oq0dmvSQ8AXMZkjfkO6DtIZxnraqMfhfU9V5bzG9U0JRIe/G4cG0wiyPULlL/nyuJ64NyKjX7BbbYV7Fu/nPHGJh01fanNdZVQ9c2rFvg2kxMA3hw/9ybex0b9/DMB0xwL41HlzzWt8lw1ewfoHBMKdcaCSh0HCuAx++JcsZ7Q33rx3I+Mr0kCxIVzZhJB5vjJbu4wt9lPrhGScSqZwX1nPLdfCEQXoP/dj95ylfoceC1k7zbsvXVo3gE52491za19znKOVVW761or3n33euhThX76/2fMNmPw45gDIzxHYNHV51sq8rcC0A+pyw9ZtY/Q3M/7lOjuE5Duvnm/D5LzmdrvvO+vh2D5IdX5mm17B9/76p6P4Lwrztf66OB8tIlfs24fnxt39Xl/rtxB/z7L9g7OeV7Nc2ueX09wPu9j82/ZnAM3vktjcOoDmG3GYM6Bt/eDF2gzQvR7PvqfvSZE7/VqeD3/jz6QH2FbtdK37N3XYLpW46OiegTHm+r1NbX4UL98TR0+gvFNoL4Gxvu6K2NbW+eqBICVeuc9qWDLvn0tPj2Go417t4jaynr1HKFEHyG6AB1Q7o9mfwAL0F/4zouvU6MZpeynHvj2K7fc962HtXKfP27nvXnem6/94QPXD8koXX0+1iHvUH20aQdAr4Hz/trBuIC1q89VMXcgb51mlluvW/te3mvhrmW0quhem53vhJcqYulL4Msr+/RBMQ/bAzhKFRuAUbWxAVf0qw20D5uBEiwTFgMQVeCyjZBZ9bUJBNbk1qpeEMl7ldXWlwacaGUOGBPyAlpU6Wvbzv6tBc74VK6zL9WpgKwolUsl7r5VZbMuxyKkJraCXJMQBN+CcdXiqua19O5Kb+tuq/S2bjp9CMsFrwJZ1dNCW+u0O07WETazf63KVWsLhT2nAn3V1CY9qPg3icDa6Kp7Vfhz7CrsjaugfrHir8QFkxBYV9W6YNuECZMeonitcXqMwvSctxq/VuQmiTj3jYf10gEz/dgzFqBNxZlx8r11qbVup9GfSRkmInDcugBYqsB5y/skC5Q1PGPj2mIe667APpO4UXEj0cBECGMC+FOJbnkCwA7XfQe8HZz3uuhat8ey+74daFNJvMy7h76X8QHMu4U74BxgB8ACLjl+1tMGm+8Zb2q412dehcFakNOEk8IsQasKXgBVt6dWFW75CC2vmXvWeOfcs3/GdcNNt6aZHOC17jZe/1qTAw11e1ANLCgOMC97bmCeNcCF2N53A4mZJwVIhaJdBcy69Me8VREsAGYssYQv5e+ixi7VMecfQAd4FbRa55r5IDSnab8NHLQ+t+PVblzLbMZh3W/ha5ThBZfjzlEOAElyaHXIA87rbw7ji0sEwPbSSxm7yRM0vzdJiX6sf27NeRMahMmsz7GxXABPvwJdkiW0TNeS3b600idebOM6An+PX8U5EFdXBOak0BfLbL5n7quEVs0PkE0t8LL453iMn5bymXO1PvuKTf7ZKzt78KaED8Steudsa93x2JfXuTFhIPEtGO7c83i03/e8aFPufGSM/M3QXt99cS9xTlqmgDh1O3laAPmdTywAXcW5qnBt2nmNvf3t9yWGqtG1dqd5PyEevDeZgHgApfmOPoiDVvqWf0jd+qpvznkhwSfz/Qs7iP3+M7+Z/aHYFuxbE937H69sl8Secr7g/LBv/h44V4Xs1kH33OmwQB805gYAu1u4A89pqs5HkK3avNu5R7V/+4VFQa66vCvIRwt4Yvxzv3Iux8t23fpdeN/7y+emQp+J1vN/xPk/4nvrWSLwfLRuP9aCfR8kvxbQPirLtz5vwXLfj9btHZzvU5wDyDs436c2Z51D4PwYy/Zjlecdmo/qcsD5CNF97ftZg+j2sWbXPtZBH+3aR9v3Lct2S0TOZ4unf73PNmMw58CZtxWDGcB5Ec058C6fA702unVl1tToHajTUKOrSBeur8F0fvitwfQO1WmC4A7VO1zvQH0E02MW6qgqX1ORj2B8r8VTU5N3GN7H1t/vU573MY/Q3OPd6nd8XUtE8DPNuPLabdx93VcDXYA+wnPO+a9/4K+/jvocgE7j/f0PP/06EF0rd+2VTnt+zzZj8G6YA6P6nMQUQbfQt0P0rtoWjgufOjzfUpz3z6qs3V//vq+nYlkQmnrMJzt1amBNWXureFV9brOWuIBWpa5QuCcH8DA56sJS9ALJhMuqfVUmWweXh9E//bGvLPW1VTqbIJBa3PV+tHHv9u6CVmtZa6EPILHutX0zxti8X355sQUWpgtdrVsttLTmuPBfuLvYkxfYdf80warx47uuFO8AVyWyanltywOrn/yTpc652wA5hOrafvdkAD4DCVWhx0L7yT9dAKz249rys6/UmC4Qq521fbC+IJn9qdBVBa4KneWqrJ0vbmtSgHblWqobFwE8x8h3bNeTMYRrzmfGbD17PmvhbmKDFuxCvD6/TCwQXHcnA/YXaFY15rWfpy+Bv7bwQm8TBOifcWrXrgJdRbqJLp5v962Nu3XldTPQ1p/9xbGBkggF0GlsYwyj6r/8ctYH3CRxBeUyEOlLz+b7rjbvKnTt22lAogA3IXDV/02iRF3PKst5cCk851iAQ+yP/XMc1kHnGgNkMh5eF9V52WkLqgCwAb13PhGgFbU5tbwL1LJNFK/UHMciva5ZYkM/2pyrfuY8cDzWro5at6594VXWLXWzc4h+tTBflLUXnsv5XOzIAdFV+1xIT5w5FmtvW+NbCK7CGABHU2Udtfz5Z95QimPpfe657J8W4FtW7lqMm3hAvFSiC6+1VVf9yr1ZCOn2fOd4s+yeK0s96Sh6ax1V8ay3JDFQAuKrO9BMH2zHq2NQocwxEGuPSat5QGPuRVWvnDlsPLRRz73k4rcWC3Zhr+fFuvLshxgwv1WZC9q7gp2+tMnXOUNFOuclfZbDgfbgzru4ITRFuWUOeI/6nLmq2pllwFoTQugvQPnuZzMfVIJr1W5SgwkNxpLY8b0xtia5duqq061P3+uiL/3WXOaaMOHCa9pj5Xro9vLM19iOX94p2E12YAzsk+sMIM2+UoLl3FOZVyYJmIhBXCwFYS1yY6TCXFiudTot9dDv2im1iTtjJF7sn+XM41wvVQed88a4ktRw20N5Tz+cB0G8lvA/++FPBBpbA53PrIOiO7XQyz2AeJpkYI35QPGT55ZzS4yA6Lpr8Mp8Ij7a4/PKfZM4cu6A8BwX7gV/59fOLjXZBejcj276+O0/FIxrwy4AF4ZzPKrKUaqPFu0dvnt8vCe2NOG5tdQ7uBegu/wf/sanf9BV6PN/xNP/32O2GYMfxf+vx8LzLSB+SJHel1+LPXsU5+OzuD0wvQNzrdvHsYzK864wt42K82Nh+fgMTnjewfk+eL5W97xD8w65x9rm/f0x8LzbrY/gvL/vgLzvq++zw3Ms26fqfN6X5t+mOQdufI/G4NQHMNuMwZwDb28OWEPmWtXogHNgKor0Eaav1UrnR2BXpnegPsL0Dn5HhfWPysrp2PW3+l4D3Psg/1oN8w7B3b7/kzAmEWypz33t33Vo/lYAOgpzXv3B7Pn/zD/6L1//rb///vwDATyn5ijwnPbPHnjxB1q5z2zReW+e9+ZrV58Lz4XOY93zDpk7QN+ybB9V6qOSXQg3vh8t411O68pXVbLaHner776NqlyWC8J4IMxDYlXdQDIAGipT7iv0B+Szvjb7Yzu+C1B/ctd4yA3kENqpUhaGCjRV+ca+u+B5r5GuWlsICZB3e5XeWq2rLFZZDfhkbLG9BZKWSrRDdI9f0KISme0Zn+pfwStj0wZd2Kgi3LEKQFXVp6Z3A7jWnY8qG2V8QV5iyvnmlfECjbREVxEuKKePXnPbhAOPXaW+Y+vQXkhvvXsV4gHo976wWKgbZyFoB94mRFgDPYrepo5Xje559XgZp7HUjcByAHxeLJwLStNMbjDpwbEK3ty/kD11rWt/biusdn7oRmB9dMbFdiqTVdibNOE5oRELttdlgL7Z1v24b90duNaSiFBzREW/CQieXxMYLAVALI07c5frTbtsExyEqQJXVeZjU5UsUKdfoE9UqSc7S3KTKjh3JtygQLfuuTbFXOtsYxIHMWYZ66mSBjYxV4X+2p3n/Z07OKcttlCYGAI2k0hRNcUzh6rucpTzl15K34ybvvlMgg7j01peBTqwCoDG8dOnalEhIsfPORAMq9QNWLu4g5FacxtnAWYs5+9+dqlDzrrc84BoWsTTL/vlGO2H16ilq058EnxI0CgovTgLFEj1Hkb/xsVa3lq1mzAFfNSinXUYjypk6zOnTjXXTI1Tu/yozlFoP/jdBQwSZ6Gqqm3Xt0SIUDb391KTa//O+WObqMCJ+0m5f5QtO59Vhjsf6YdjXrZpNdBVkOs80JXUUa2ff+YN63ot5FWf1zntNuocG2ONvfod31jU5wDUbtnO+3wu23YBeubAHd+4qi45/XNO2UeAqmrxi29Y8mu1H8eIcj9gfIyTdbTJ10rfxADLHSwJH5XckeStgurWhWc5cWI7YLJ1xLvdPe+5ZuM0UHOTfq0B3p0KgOSq5IkzsJqYAG/5Dmir8lxrdsA2kBYYLMzlO+Cy66oi7+p8kwmcl3yOO8Id30hzf6itrakOtEZ1rWU79ynAMwp0vrduusk/XhtcM+zD+yZzgf69/omd9dAzNx/fJWWYgANwZ65yL841fu6pjIV9Mh7B+S989DN5BZ7/g5s/GXDeQTYAHDBuMoA141k+KtC1au/qddYzJh2s04/QnPFYO10LeFrG0lToU1E4/0+c/ye+N+qeA8+te34Ijr+d+ufX8pzv2DrnwvIOzEcF/BY4H+F5B+b9dauu+ZbS/FCt8xGcb9mn9xrnvo4W7aPq3P77+y3r9rX9jqryEdSPtu8dnk/V+elf17PNGMw5cObHGoMZ4HmRzTnwHvwxzD+1gvQO0XntKnQhuiA99u43fzDtkCrddgxM70B9LRu1A+a3CtC3VOtvsoUaVOR9PB2Ad9X6FjjnmADbPUnAmuWs09/37dfg+VhTqsdsBOjXokIHpHf1OfCc9/wjwgNvHmZjUYgi64uXvvq6Vu5ThX761/Ns7/wYmLgEPEd9jnU78E1ora16h9oqxkdr9kPwvK8nlO811Ed7eKF6r8VOAxgJ5LTDVa2rwrbXZFYBa11nAB4PgoEOwnE+c9wAdBWmQkegDk2VLOto4c7Day3TBSY8rOc9/auIF4yrwhXwa2Ev2FWRHuVwKcC1rBckq7TXalv4xjrGhNfY62J5C7wB8paFfJTCqKyrHnqPS68XLgRXIUwfniPea+Ouul3L7p4QoG24iQ0u09pbG3dtzLXSN97GRihvbW/2J6AW3pskEVVu1dhW1S/85bP23cABjsNxm7gQ0F0QTFCvEl1YT38eJ8chfHZumpAgVKepMmf/1mjnvedIu3QVpcbY8apq9byp+BXWsz/6Eghb7oD4C8JZtydFWAseEGXCRmy9W4KBrgv2G4Xy/bukBxMHnK+Z3wXlO9gnLlr+62DAcZn4wPcdnquOZpskM3z5+YzfGt/amtOH74VT2nULr4mbCQhcKxynqnwTM7gncV2rRgdi8dsCUM12LhcqJZ6VpKL63HrPbKttPPtmXAAroKWW1XwfZfvDLy7nQSiostY54bxnHfrR6YPxMG7G+HP/+S+9/tc+9E+XeuWcR8Bi7PULOgvGGLPzR5W0qmFAZmzgz+4U3NpYC/UD5FtdbbYDjgq3PT5t9rXftuyE6vUA+aq5LNRk/nYVumrdpWY1qmXuRWVtHrBbtvMs0/ab7zgOLdHph++zzt3PBhoGDF7cwVbrPi/jLfjc66ILqBmD8eRVlwvGkBrgD31vsW3nvepzkxh47/zJ2FDDP/iHy3E4p2zGyzHwPXHL+Ept7nhUZZtgkGOrechc47g9x6rIhejWO1eFDvhlDmgfLsxVkd0TFJwnJn2oSLc8gfMpLgvnn1mcNlSxx0ni7JWMOQkMZWG+uAmU/TjHw99lrzPiqCW/Sn9re2vFn7+b3I9O/iDXrgkSrE8/LDPxwvrp1or3OladT4y0vicmwFyWCdBpxE3VudCbpuW7SQEcM/tXHW5pAv6XyTwtgC6kV+HO+RIM8/8OMJlteAWoowRnm9RGP78D5knKqWMEmnvdsAwVuXPG5BOuQ+7nuiPolkCs+L1jkg3zgfGzP0E1CvSrAHrVRee7nlwAMOczMVK5P1q2dwV5/87Wbd+F+G7H+648tx9V6EJ0nO+mCv30/w+Zbcbg7fz/2uue76t53hvPpPqzvDVg/Xbh+bG27eO+O0hfq3O+ZtO+Bc4PPWN7K9B8DZ53QL4GzgXd43ajynz8vLa8g/EtcN73tdZXh+e8jsrz6WI570nz79KcAze+R2Nw6gOYbcZgzoEfP0TnBw3w3CY8t0V9fvMHA9A/+1/9wgLTrZfeQfr/ctc/vkqVfgimj5bvaz/E12yfOiQff3hfi/p8a/1uw75mxy5EXwPnvI5wu8NwP/fv1lTp/R+RUc0+qtC7Gn2tDvraj/tu4c45Rn3+kff9B4Hqf/GXfxGAjmqCh0Ao0IHoqNCB6KjQJ0Sf9+d5f95/r+U+S/b+mnW70FpgLsgWfo81z7uF+wjQ7asD9FGN7mdBOQ/Z+/54H4iFMvnyy4Fn1ivPQ91SlQrRVbeyLaBPWEzfwBwevPMQnvGoROc9D7m1YhdeqQI3HkA3oVpsdQswCUwAVwFTJ68soFxoLNQVJAtiBf7Wie6W7tq6aw3O2HnvMQNrBGIeq1b3gnEVwywTxKoSXqBnQWbBvaA1oKjqXKvE5XO39xZmW8e91ycXtHoOeE8/ngvroAtqO9w1ZuyDZdZPV8Gu04CxEry7H+PWrc4BBs4L4bcK7m4F7/nuyQDWavcYaLHyL0WpY3Yba8YL8rVQ1+FANwDAinbvwmvt5LulvMkaJmiYFGEyQK8H7/qq0J1LAlvt1lkXsAzc0iaf11jbV8KHyQm5ti6/nHXdvwp7Y8wrcejXm+4GuhZ4reoIwZiBNqrRPXbhtGpfVbfAN8anbbTKXGGftZStJa5ThZ91VWD81kD3muZ3BTAmgOvBHfRknAC8JF4UlLeucuJfcC524Cc7NXDUreeeCnSjASfpU2UofWWe1vnR2jwK9TqXOhzEzeDCTo0OzLImO+1vf+SfvP4zH/ntBYZznML41MCumvJCa+LI9WTNamGugHSxTS9La74XKgeWA4rrvqvFtup7LbMFn9buZsxJhCjrdIGvSnhixnqeX/cr/BbKWo8ZsBmb/YL4WpQvULXqtdMf+2YOpr78SVnLN4W34Nx64qpumeMmn1iqY1HuA/hrXe3F4yxRNcED1E9217h/q5LoUYkcngvr1WvhHpV2zXlLcxCLJDLUfcPEA+tUczxeB3zWChxgyvYCaY8TECwQVmHNZ77jvdbuxDXW4wXj+Qz81UnBMTtnGF8SBVps/Z73nDPt3Z1vgnSBviUBOA7WZ12Bvfb2Hp+Kdp0biLHx4LhNalgSHmoupSb7yc6SPzG758ouUYP5XgkKjMX7ifFRSa4a3FdhMACdxjrE0FrkvCeOKt05XsskcK/K+btzVx9dpbsW8aqtPS/U/QZQ8z8PAJn/fwDDAHReUZ8nCaHqpevGEfeOe65kH7oUmHSQe2uVMuBaSRLLg3+4c9d4/OX8bWAbvqfxPvXbv3A590kV34zrfb94y2LhrvqbV9XjKvU5FkE4x6qaXBjfrdk7QGddmpbtxIbGNq6nOl1beMYiUM/+f+PTP/jQR3/rEVToQPSpRJ//K87/Fd/d8HzLun20be8Cj2tVoW/B72sB5WvimA7Kt6C/0HwU96yB82Ps2X3G5nO2Ds1Hu/Q16N0V5GvK8xGeb4Hz8fUQqO/gfG3fh8B8f+0QvcPzmVh1+tf3bDMGcw6c+bHFYAZ3XmBzDlwntdG7pTttAedA9Js/eBVEF6TbRpCuLRA/EP/XL35irzJ9n0LdH7NbUH2f1fsxEP1Q1uuxWbPdnn2sVd6PZQTovNp6okCvee53Y98jMKf9xb94c0JCsCKOcwAAIABJREFUh+jHAnSs2wHo/GOCIkILd1XoH/vCI/8GFTqqWq3cT3s+zzZj8E59ALHUPn/pf/u/VJ8LslX5CrCFq7zv4HxNfb6vjbbwvd8O762xrDKZba37y4Nx1VtRnFUddEAewAIoGUvpgn88IBZ2RJH82GuLtbfKdo4lAOjkuXzmO+CnalVBd99OmBaV3bnnsm+BocplYa3AnM+9Prqx1uZb0Mxxax+uipqH2zbWY9+sF5XkyU5ZHzBw704dL/hdAGcp5gX8WlmzTGt1bbPd1rjSVHp3lXMgeinktS1XPSwUF6p7LP3cCv2F1awj/HYOqngnVlrBOwZhOZ+1nrfPXq/b/rpanvVMAqAf5gwx5Phjy13K9F433YSDvu/EtBImTJpgey3NOU8q9rVyB4ZxXCY/JFHhZKeS7okRbqPi1QSSPjfZFwDS86lzAN8Bs1xOP5Y7UP3NMZrwwCtza1FvlsU7MMWkFOa+c855KehnH8SZdYWPJlbE9r8cCxh7ahQ//a+XhAAV0ZwfxqJNvTA3kPzSSzt79nO7utQcV9SipYpMnWLsvc8/kzELzbUMV90NXGM8LANC6z7Be6AZwCu1gqsWNbFlXfalKlPrcaASv0X4jj4CyU+eyzLglAAOKMn9hZiznNgxny2zwHFGUf31Vxd4ZUJO4GcBPW3HGSvj+it/40zUp4Jv1dpCYa3/oxIulwyVywC21CkvCAok1VK6W4Hbt7BcG336ZBnnhm059q4aZsxxPbj/97I/wR3HptU3y5mLqtoFyVqQqwy2lrX238Jy3i/KeO7zgOmq665l+ALBy+o8cP9kl4BhjXHLb/C5Q/5eO16Av1iUl8Jc1bng23OmbbuQnXiljECz6u9OAPSjDT/NZIBY5z/y6nKeVOJ3Nb9xU8G+1BUvUKrSmevDOcn7wPLbdg4JqWld36UWuPC+xst3AdoVW+eEsFungzgSFDwXtOsQoSLahJhcy7UfGsdPX/TJmKxhT78m+DgXtGo3lt4jBPH0xX1M9wTH/cnaN/FgPnG9mpBBH7G5v+MbSy1zVecsUxUuJBdy+36JXyUp0Id26ZZy4Ji5VmI7f/6ZJVEgzhlA47seDSynkRwjnKfhNgGMtt45sPinPvCrO9vzszv7ds85fcadR8v4e64sCSnEWnt/5lacIr66S8DgnpTEl7oXsz3b8H8Wsco997OXMlbgOZD6hptuTeO9qm/AtnERfhtPgTr3Lta3tjnH4fH1GugCd9ZRbW7ygt8L6AHnrsN42MeaCr1D9NP+TT7bjMGcAz86eD6CdJ9n8SyK5nOrNQX4MarzQ7XMt6za16zl19qaPfvY1uqcHwLmayrzUWne4fUWIB9V5tY8H5evwe1RUb4Pdq8B9d7n2P/Wtv39Vs1znhlOV5J5H5734TkHbnwPx+DUBzDbjMGcAz8ZiL5WGz2tWbh3gL4PpHd797Fe+po6/c8f/fxBkD7C9LXs177s0A/2Qyr2NdunQ1m3o3J8zGYdj6Erx9fg+1o27wjk7aPD+mtRoaM2F6Bj3w5EB5zTsC7lYY7w3KaV+1Shz/vzvD8fCc9b7XMBNpBLqO1y7dY7MO/K864476pylguOu6q81ynvAH1RHRf8FqADnqw3DIDRMpmmklJILIQWHvHgPYC14LHAUoUsr1ojA6ZUF2tProU53wlusXnmYTMPqHmAz4N3QYo27YzHWtxdWW58bY5BO3f7EGDSj3XYtSwXkHK8Ws4LyHlAv0DQguMcB2NSzSwwpV/WdR9abAvYhbkqkAGenkct36117TFaR13g3euVE1fmhepbmirqqC7Ltl1wbb14Fc4qm+mD89WV2ElqeGRXl13lrnXBPR/WMHc9ob9qa97HArj221XyzimV9cZcJblOBSaAOA7nG01FqnNFYN9t+VWos0/eWwPesgUCZhMBVM8GZPP+kV1pAhMeBPE2lmmXnhr1FVfmsXXavQ5ZT2cE3Rocq4p054FJB1197/ztMWNb5qOuAYyJxAGTYxKjUvMCb/jMnLYeMtc0r6qJgVNANQCN9u1AJNahX/ZNX7y3BrUJFd6/dLgAunFt89uCeACVgEmMM0rbqrPca2HzeyQJDAUt2YY+gDiAQMAZYwOgs57gr1u4C3hTO/7yywFVJqawLlCN+w/3O46V8XL/AZ7dcNOtgZCq2J1j1tXmeLUStySD9dg9DsYplBXcerxCXBN2tIdGkWxtemuNC3S11yaGKqkDtktNLOiLPfkjf7xYfaswVmUtKFfZHivzSljSIpz1BOGC2LFmt5DduuvsozsY6HLA2FQ1s5xYeW/n3NEE9Dp8GG/t7ONMUiCXayLJIJXkJXS3nrdlCHQzCQCvhA+P2fNkUoN17BlTEmTKvl51eOD3uedyTnMeiPU9V5ZSByqp+T5W7Z/b2Y4Df2Mhjr07tdELouscwPa853gcVy9NYE1yFffMD+3/A9sB6HUMi0tA1Tx3fCYuWOc+Y774/JI4xvWQhJ5KYlGBT5xTnqVKK/AbwSQU9qMjQyz8G7QOiL/3ySVpIlD/7JVAb1XgxEsYTty6/bjfCdG1c+/W7yYPWD88pSYazOb7HPPtDyy1zwXzQHQAMPbovAeg8x4gzL0AQEwSDfcalef5e2PfNY9V4XMPihIftf2dTyz3E65BkxN0VMm1WI469MG6idU9V7J/oDU27TTuQcL0XoNcpT7HoN29sWN71rEGOscgOKd/+tX2XUCuQl37dvoSsgvJAei8sk/WJ45bVu5C9AlO5v+M83/Gdw88p+75Png+wmqeRf1//9P9aT7b2lKaH3r2di3wfG0s47M5FeiMifejyvyYWudb8PytQPM1lbfPTnkdYfn4/pASfZ9Fex/H1rhGMN+dRkfYvqY831fz/LTn+GwzBnMOzDlw448xBnOCzQk258B1AtH5wbwPovca6P3zGkznPev4Y7D/8BrrpY9AfZ/N+wjU97V9wPuYH/Jr3+37cS7gXst27XXeu3p8BOwdmo/AfM2qfa0f/nEZFehCdH7o938APAf80OV8ffA//KnFvl31ORaCPOT+9Pmv5KEOAJ33HaLPH8Wnfx3P9s67r3Jd4NLwO0+/8kxXn3dFuFBbmM3rqDrvtu0Cc0F5h+rCd+H5qEDvn7sCXQCtUlkYZ73v2KaXmkwIrO067wVs1jDutrlasauS5liAI7EqLWUtD5EBgSpvAVj0zXesq1pby9rYMxdcNElAEOmrywW8xlpFs1BRVbaQ13MgnBQA0zgmwWTUvJe+vdhhM0bV/wFnpbRM3XbUggVUTVQQYAqVBb8CUW3SPS8CV/qzH5ZxPnrdcu3PWcfjiGU19Vkf/ZeJNWNUkSwcZp9C+m6p3l0KTCzoNuaqw1XxqrRXSc8xsj6AWAV1rz9v/XaTGjyvY313GscryKdpTZ4kiILWwAjPLzDD86XFuNbwgnVjqlpdCC4g5b329MQaOMz+BB6e11inn+wgvPFhHyZUdAt9beS1/+f8MSe09ff4XaZbgDHTjl03Aq8V578lFrSOX+JTx03/HAdwJzBMBW8p5K2ZLKQVTEU5fecTi+14lJ4Xd/CV/pjnWjYbe4E+1z0W7sQjpREuPp9l/MYAeHGdW6tbEK2luNAWWA6Y0i6bew2qa2BWQORtDwWAR6VeZShUK9O3KuYonVHhP777njlDrDkvjIPfPtyf2L8K9L/6M38zgAhls6rcJEZYm/zeFxbVubbgCySmFnKNRWWuYJExCca5v9K37hpazkfhf/bKDv5Sb/zrVb6iGt8LoAWwAEwt8FUza7stCOX3XGqEl6rZhINFWV0QllfmBOcm29+5q/XNvnIPqzFoZS9g1UbfetoARevZWxNapb0uEnxmXW3KjQHXj4Ay1129CuV5T5+pw/3ILumJ77imhfuOk36ZI3zPeNif6nfG7py2REASCrjO7/+9q2qIa1+v8jzJGeeeWupgqzAHZgInBZssZ84CtXnPnEKNrcuKiWqeFxMaAs/PXsm15rFb993tTLAIRLb0SgFy9slYGbug2+vYmu0CXY6bfTpfVbpz/Pk7UIA4ynLmdSUf8N6YsU/nEdclywTZbLsoxgv+AsGJk8A8NbjbZxrXoEp1vtciPzXpK/7Mz15TPu4KBdKXpIXaJ411R4DOeyCzdcVvuOnWWLiz/27dbmzZvyVmVP9HjV4JRiwjWYc5GkeScrDxszbunne2o0/GB5C21jnW7YBzADXQWojOOqxrUoFxUcHO99q3C7iF8yrLibXq8kD5sognFgJ0Ldq1bmf/Xd3ea6sL0bFy/8jHfvu/5/nChCen/7/JbDMG+/5v5Vkg/7segudrz9hQnfMMSgW6z6e2nq1tqdCPheddcT6WfNx6DqeyvD9f7MtGBfo+B8ctxfk+aC6M5vmo5TIF5rwfX32/pT7vNu+H7Nu31OkjNO/7WVOeb9VR75btIzyfLiTzvjP/9sw5cON1EoNTH8BsMwZzDvzk5sBekL4CzbsifayT3mul+wOxK9P9wWXN9DVl+j6Q3jNFx7avjvoxNvBravW1fxaO2ceoGl+rsbQGxdfqmo927Vvb9DiNKvTxnwDi3gH6U7/7+GLfjuLrlju+GGjOQ6OuRgeia+VuLfR5rc779ZwD6+pz7ch7XXJgmCrfXpt8zb69w/OuPB/roNvvCNH7524Dr+pdBbcq14DOqpOr8lvbYB6+q6oNpC41OhDC2srWm+bBusfFdxwPD5JTD/bSS4FBPHQX/gprheeBwwWlBCBaIwu3tRDXilzbctWv7t91tDpXvdwhpNDWeuaAE6G3FsGqoWNj/thrOwBDfdOyoFehL5QWhgl+6TtW92Uzbi14jldArN02AE/QrKJ9UUSXWlsFshDd5Aft4okP71O//bHXFkcAmqr/WNDWOBwjY9NiPDEp2Ov5Fi4TF9XaxMrkgahoSz1ufW7GyXrWpma+Rf1bccrcevJPlkQQ9gukcV5aT92xmCRhuQDHGzB38kasoiQva3bmZpT31H8GRpZ1fJTxBcVjR12KTJMHVL+q6l5A/UPf21nJ1/xxPFr9E1/Pk8BfuKwzgkksNrbrSnvdBrTqZxuTEnrteO3KewKIAJ8YqLTmOANscB+oa4tj5ToHlgL1hDlRtZaCFdAnSBOkm9xCf55DbeKtjww8Zy6zjHkOxAKeAxtp2uAD8RL/skXn3qCKXGAOoGP/UXWePLeoSbU+BpQRf90B2CctDg2PvZax5Tw+voPgvDKmJPo8/OJiNc82vAc0o0AHTGnPrkNHgHCpnlX1WkecvrVUZ5nqW+u6qxSP1XXVkjcJQViucnpJZihXAOaPYD323SevLNt7n1qUylUvW8geJ4dKcrA8h6Cz328Zk0p05gTz1trkwv8ojS+9lDgEPmOXfmk3D4SrHKNwm/V1A+C9duT+TcmyB3eQfVH2X3w+c0uwzrkjwYF+VL1bk14HCZMcTObSjSIlHarGvLXMTdKgv36+GA/zgXkgbGf+ce54DcQ/99RSJ9zEAuID/ARgptxBQXPmvGpeYCXr8P1iK16qfuY1/TLHiR/LhLM6EWjfzpgsKdBt8Bdng0svZXvhsXBdyMvxMQYBvNcK16YxdO5mm3JY4FyyrUkQXqdefxkTaveyzc8x3vGN5X6SpJeC2IyLmHTVNE1bdut0873QV/jdY2kjdvTN/rTjF0gnceHOJxZreIEzjfeqz4HH/P/zoV/++KLYZjnreG60q9cNg751PAhAP/9olvu3x+Qfk2ZMbDGJI3Oxrs2c67K3F3jfcNOtAehapWvHLmSnqThn7rG9NcsB3XzPa1eTsy5J0m7HMt4LxFWju33fViCvvTtAPRb3t++U6EL+qUKf/xfO/wvfXYnfWrcLz48F6KrPVaAjBNmC5PsA+r7a5oLzQ8/jxvrm/bnhGijvKvN94Fx4PtY4H1Xn+6C54PyqdvMHNz+P8HytHVsDfR8839rPtdRTH+E5z5N5HjLdR07/+p5txmDOgTM/kRjMQM+Lbc6B63AO7LN1X1Oed2W6P/zW7N2X76teutmT1ExfA+n+WN2qlT6qrP2B/FYU6sfWPN9XS2nN1n0LgG8B7zVA3iF5t23v643r9xj1fwRGBboA3frn/GMCQOeBtxbuwHJat3F3WVehzx/Ip3/tzvbOVJ936/auQO9gvKvJR+v2EZqPFu693w7RhcQu73XShcpXWboLSUsNaP3eQLeq/xqL3rIL79baAFfhqXBGZXYezD/+co7FB+0BSQWXeR1trGPjW2plYBAPolXQBnCUElhbccYvNBagq6buCvQxwcD1rAMu3FTJrXreWuQCai3giZP1t1X70i+v3XpYRboP1K1XbR1z4hRoU0DfOSIgF6oHEAP8C9LzXht4wbwg3ZgIUVlfqB7gXnXJY2V+sqtZrRtCr19OLIxLb9YH532SCxp47y4GAlUt5dlGYOUYhNA0z6d24wJ8IbrnkW04Fr7v9vJADEGyCnOtidmnFu42z6Vq9dRNLwWs55X3qStc1vOeG+3VVZUnQaMlFZhwYDKJ6nnPC+ed8fOZ94Hsj722uDdwzWjRT9/E1YQc+mIs2U+dK67ngNBSx6tOF3AyNtYHSnLO2Z/qe+MhQBfgpnb3bQ8FpKYO933PL6pVazezjaULBKkq8vk9ofsE9wGhGTBKK2jiQz+qxU0CMamC/USh/dU3LJIBdyouA6jO7+pEayOduXX/7y1qcBMeVFMzNl0wOCfWxda+3WWoT2O9fffOipnjEOgK/RlvLPCrBrhW4oGXdz+7A7xVN1pADXQLdC3Vs4kfuY+iWi2AamyjUj733DK3TWAwASYJRpSXOHtlp75uam3vWcSWuMQm/5FXF/CvQj025aU+Dzi9+PyikNa2n/OmA4cgPU4cBb27dTrx6Aks3PuFzkJhwb6OAfSl4tzkjKjpK1GL+WINepOZ2NYyG7lGqZP+4A6OO+8XxX+ppXXMEKrrTuD5MJEj+6ikDWPgebMueJIgALZ3fCOwl1fmIwkY2owzV6Oi5tq584n0eZWC/cJzS+1wnRj8vlvXxz0DF4M6570+e5wHKjFBi32THlKH/cKuvra24lw3WsSbyOW8N0HEpBAT5IgJ51yIz/LYld/97JLAoBre44k6vBIeWG7JBcBth+bETdW5y4HfKs9dzxrpwmLiyXr0a430JPmc2x2vyQ+sbzJD1OafuH+x1ucVUP7+M7+Z/3PYX2D/zZ+MhXvO6907Bwz6NKGPfjnPJsTQ2M4a8Z4X55frcI74u8Fykha8pzAWjlPbddTnf/ejt6SpQheYq863mXBAE2LTrlKb335h+ZwEhLOXl3rv9Mt71tEuvq8nOFfNzutNH7/9hwB0msp1940K/dduv/j8VKGf/v8ms80YXEvd8/F5mSUG156NWftcBfqoPr8W+/ZjyimOz+C0aN9X33xUoI/g/Fqguc/PdNXcUpzzfG0TngPJfXZa71dbg+hb8HwNoqsI36dE7+C8A/s1ML8PnruvEZ7zPHk+G5z3nfm3Z86BG6+jGJz6AGabMZhz4J1VH32xdd8D07dqpI8wXaDebYiA6R2kd1X6GkzvVkxrqvSx7vg+iH5Mhu0xYL7/gB9ruY+Qu8Nu/unwVSi+BtfHfke47nb8I7OvBnoH6L/+gb/++hfOnVvs21GLCcpRKPDghIeBvPehoCp0a6FPe755v573610CUlefd3gu3BVc+57WIbrgfA2g288aTB/V5qMKfc3yXZgudLZOsaBBmMDDcgAan+nPOuDWrBZ6CYB40A7Q4NWa3Oybh8TcX6Ke+9oO3vpgXttyYau1rQEoUc6VOpDxdOguCO8qbCGn9b4Fz6wvqBfUCtC10Wa5KmmV1ip6rSOuojtwrgAs36m0FvQHJp7sQCygFJjUa8Zbg1zFMWPQWnyB5ZWsoNJcYC1QZQzEzLrewnMhtqp4vlN93uvFC6WdF+yTeeA4rGGuDbu14wEIbJ+xMEdKza09uetxnMwZleLWQLfOvHFTfe885PyqHPb8Ok+tMW4Ncu3SVbxrdU2MAplqTnLsJjUIjLsKXeitRbeqb2KhgtZz6TnUSUBgT98sM3aCf2POeWbd7lrgXHZuMhb25/UbEFPqc5MWBPfGUZW7CQ80kwt0BCBOxIPjVO1sgoDwlaYNNO8BuC4H7nDdu1xFrJbh1nvnmiUOnEcAOtc+cI5j19aaPrimA/HKEjmq5XtfWOZ4agafPJdjZn0BHA2QBtwFoAHG+N5a3sST+MXauiC/84TxA6py33lyd79LosPFbwV8cW9ie8YMeAOeAes4Xo7Vus8BhgUXOXZrO3Mu2J915QXtjIV9aEvP+9iC3/f8ohQWaFubnvUAfoJOa84TI86z59LzJ0gVmpt8ZN1szjfHJ3y2DnrU24K9snbnWFnG/hkf49Z6m+977evca+u+KBwUTqv85nyQAMGYhO15X/dSLcktAeA1ar143ruOiTnsR/AeB4rmXmA/Xv/Gl/FFYf3kny7nwrj1v3cB0JWEIBSmDxX7xsha15yfANrbHsp8AbLym9ka3ryynPWY08ytODZUQkLqyp/b1Ytn38xP/zaa1CAwVwGd8gsX3qiLbkJCkjnKRj1W4nVN01SVs+8o3U92x6q7An2mNncBfuKxJM/VZ+E727IN80KgbHw5PmJmzFWfa31uzXNhOVDXBASWB+SevbzURAd6s5729zSuf+an/fGZBAUdMlTeqwr3HPT6572eOjbuQGrV1YwJKEwSDdsaR+LgfYVYaxOvdTzLiBGlJ4iJ90piT7xoJnA4F4gn10f+5yr1uKAbSA2UZkyMz1rwxKkr920C9K4eV81Of6rJO6jvtu6q2lW7d0t44XlXmxMj99cBer4faqHP/xPm/4pzDrwzE7/3Wbfve27msyieP/VyhPsU6FtgfR883ydi8Tnb+CxwzZ69PxfbguZbdu1rNc4P1TZfU5x3585NmD6o0LcU6LRuob4GyztQH5XnW0r3ffB87H+0bZ/K89O/rmebMZhz4MxPPAYz6PPCm3PgOv9BvQXSe430LXA+vo4N1XNXpvujzR9pqNL7j9Z9qvS1jNKuSD+kTB9rmx9TU+kYgL7VRhW9sNvX8f0aGF+zeO/g3vbv/vmF1X8SqHdOnPlxD0B/4TsvRn1OJi/qc+ue8zBHcO57lej/7IEXfzBt3E//Wp3tnac+B6Bfeva1/0Ob9jV79V6XnPUE3Pvs29fqmQvC177ryvQOzLWNZj9ALiGqUFL4IRQKUKtavwBb63trXy5Y5juhqDVx2Y8gDXieOucFzAEcvBdAcsyMQ5v1xVL7/DOLkstx0Keg2FraqphVnRsT4a/qZYGp32sHrzW8amYBM+8F1cCF2Jif7FSMql0FmT0uQiVrrmf8BV8Zt6C1A3Shq5BVUC64FaYzbpaxf7YFrNG/Km7OJWPRypvl1ps3ucBl7Ic5Yn14remNlWp3lcHsP+4EBZc9f8SoW5kD9nQ1EBrQn7W+Ba7a0muP3u3O3R/7F6SrDLceuEkMKr49X84vYRvxDtgslS59aT8e4Fy1paPKp09svwH+WF3XcVoz3NroOhYIrHnluNh/rynPvliPsUfhX6p668urol+gbh0f89xEAePNd5ZbsB/PpcDcBBa217VA23oBnOBNyOn1HgXyPVcC4ASJwCkacVR1HpBIrfkvP79AfOMQq/OyQvd+RuwAS9wDuKeo3g4YPP/MYsVvLXdiJdBT4ZraydRgr/rswn2W92sxtb5LVU0seE1iUEFXbbx5T7/8xgF4cSw6ZvA7B4AOMCIGgnfj5rxQIa9lOOs4r6wjzZi12ga48zn3g3NPZSwqzjOXiHvZsGsbzf1GS2/2w/ERE/ajAwjrqD63Vjbfc/zeHzhmITpjtvZ3kgFOCvgDHkvZbA1xk5i0Rmc+sq7Xnip0xsU4BIVa12sR7pwR+DpXdAowCUu3BOvVc44D2E30OFdq/3IXYD368O+Dzg/Gi/nMvr2H61SgHb6w3trZ2V+BfvbDMiE88en166P+vevpq9TmgejnH91B2ILqNJTSwHVhPPvplvq818HA+evfPePPuVSlzpzKubn0UvrgeKJQr+Z5BCzTct3V/qxLznoCe2LouWM87Js+ec/3bJdkpK/u5iwtsLy5z/C/Q+zhAcknO8cHE18Su3uuLBDY+ubd9l4VdoflLLPmOe/9rD08x8Y15XlSmW49e89F1NS3XwhE/pmP/HZs0VWusw3XOsuAwYwTYA1AZ/3A8rJgdx54TtinNvLEm1ihLE+CTSUVxOb+66/uSlzUvDUxgXj6v5W1ywXYAHTGI6AmXir2TUjqin7hNuu63NbroQvfWU7fKtRZx8QGFf/WONc2nvWsz25tdscnUM8+BhX6VCSe/v8qs80YbKnP/+//8eHX+jOtNeX5D//td/aC7S3gvqZAf6sClg7MOzj3/Vpt87cKzbfA+ZZd+6g6HyF6L4spLO/v1+zbLYO5z8a9Q/IRqK8B/rX66lvW8FsqdsD5hOfzfjL/psw5MOfAmcRgBmJeDHMOXOdzwH90geiHQHqH6b0G+tgE52Ot9A7SUaRv1Um3rcF025iBOv7I3rJ9+lG2QwB9DXR3JbqQvENzX1WpqzofX/fZuI/qc+LOK8pzGg+QeYDzxUtfDUQXnPNATKDOqwr1aeN++tfpbO9M9Tn27cJxgNYI0UfQvQXQXdaBeVeyj0p0gfAIzv1O5TV9uA8hpqpYQZVqOFWIPtD3wb0ATFimCp19aK9L/wCLbuOsgloVu3DUMfKebYVdKvR42MyDZx6IG1dVu2wHLBSAxwa8lOg97u7L/QqThf/atXtsAu2ukBZmBx6WPXIgPfa62lgX7OH9mppbACoE5jthc76r5AHV2SqZhedsl/VO/mCBtIAyticOqetdqne+4zxEjd7qdQt0hdQZW/UHhATCa9eugpkWIIKq+8k/3QGzGqeQVhCe7yp5QaDNunzPtlrss6/UKK9jZDtYF+gaAAAgAElEQVRt5LU07+M2+YB+rW/sXGB7ofQC6QoWsx4wIypqVJonu2QQgRVjVMnv+h3qpgbzk3+0lCugMdaedJBzUCp23QgcqwDb88k6vcSAyRLa3PO96nTPZ6zvK/njquSRUupr8a5i18QO7fBV4HuurYnO9W7da9XVAdNlB63qXJUu1yPbJY7UTC8o6lzRmYLEmZ48wz2A315ARBMihJQcm8kEXovaf2thrTo+qt7P7WAaYL/X2qavBXBf/FbiwP5U+NKPdaC5v7AO42Kcqni5XwHAAOiAJBNmhM0CXksgEFdrrOvAofOBduQmNTgfMzdLfZ+kI+p+M68u7pTaQkePpau2VQZzTrKvUpVrF835isK8EhSc+8LjqGhLnRvw73cnu7rVxIv+Bckspx+vfc4R61sKQHBtvXUTH4SuUYTXuchYCm7H2aQU60lOqRh6H42VeJWwsEa6quyowBvA9/oIzD/5bs6vTiKqr7Vv5zuud+Jp2QLGGdv3+ttHfHI/vP/3AkZZ3mvHsw5zMLbkBXq1F6cBOK23zauKaZYHtJZ9uuBcm3/GqD28sFVrd+eScWL+CNhdJ+4nTU3PPoC9OjWYAGDNbqE4ceEaovG/ANeE1usBwGXtbiKBY2WdJJBUzXP+R3Duahmvqw3HHBv7pjaPtf3tD+T/Da414ihcdz3iydhNULCeuVCdpsp+gfXcx75wOdcxfQvROZ/AXhToqtF1smD5/Q8/nWNQyQ1AZz1hec5h2cbTF59pQHAa88rfSuzb0iGcF11ovLfGAeXCc5mP9OecEZgLroXeKsSJkUkGxLCrx2O7XlbtHZJ3VTvr9Vrygm+s2LsandjwWYt2PwvQrc2+KM5L5d7H0lXoU5l4+v+rzDZjoEiG6/GQ+nwE5x18A9hHYL71/hh43pevPaMbleajVXtfPsLzfcB8C5yP8JxnkiNIVgEu5B7h+Wrt81FpPsDzNUv1sXWorl38PjV8b6PyvPe1VlN9DcwDzn//8594tSvPeU48k6Tm/WX+jZlz4MbrNAanPoDZZgzmHHjnzAHV6CNIJ6t8hOlA8tG2fQ2qu55QvYP0/kPOOunC9DVV+gjTewbqllJ7fC9cX7OA78sOgfMRoPfPa/BcyN0/j9BcwN4Berdw37KJ7wDdeHWA/lt///1Ro6M+p6E+x6oPQM5DJF5H5bnqdB5GTRv30782Z3tnxKDXPld93muMdzX4WJN8zcJduN3hdwfp/XsBfYfkqtJHlXoH7qrR6UtAac1tIVmUdZ/65gLKeAgcmPPQ9/LAXWDBg34eHPNwXxt266CrcqYPgIn1Wa0pLdgVgrO+Km/rraoMZN8qH4XuKqQ7TO8JC9rDq0DXxrxbpfO6qJCBi3V8qqqFoQGqwMyySSZW1phWPSlYFGprDc62ADft1B0TxyvA51isPd5V8/TFMalmFrwL3XmlXyG7du8+sNee3XrZxFVrb/ZPnBZo+chOqa4K2+Nyfyq2rd+uYlrLdt8Lkd0mcS6Q6/zg1XPOsRMTAbvbC5XpU2DtORK2OQYTDPhO9WQssauGclTwdY7Zn4kfws7Y/gM5L+wAO/uNarvqR2sLzXkFJvFKP8TBfgTobusx9KQFa4SzDsfvupxjEy1Yh7gkaaHOnXXXheeBXvW9iQOq/Hkfpf3JDmh22+8kaqCIBnqXXbgwUZWxoI7rv1u5q+607jfz3evVOtbGToDOfQ2ADnACzpkEwzrMfVqSAyppgM+pF/zgGxBWRS0ATrtslfF8bx1hAXNqlJ/saqfTl3W5WYf9EzdV4YyL3z8//bGvZH3GC1gCoHOsHBfbAw0XqHtpp+4mRnFrqJh5HQrjGd+iWq9EDfZh7Wua58jSD8Jalmup7XkRntM/51J1NueDcZkU4HLGQF/s17rzqGtVvru+tt+xdX/wDZcC1hXGC6/5TLy1sPdvg/1572Q9xkqccl1XHW0TW0zMMFHFOKsg10UjimgA+qVdaQWvb7YxicdzwTYCX5O7WFd7fN0EVLrzN4nxGGNr0CcGBYWt473Ubb/07R3wRIFe85FGQocQPcC8oDqA0XWYT15Dgm7HF/U887xguUrlqMAf3JUX0E1BeK71vZ+tme78EdhH0f2pby4256qjPV+ZG099P+BcgE7iRFrFg/E5l1jW7yHsn+8ytnNPRVFOc66riue4tWXXhlx4rPJZaM53xo1YCst5T2ICMea3AetHwV5KdCF/2j1XMgZt3FVVsz3wl/c5H8TnY5/L/zkAYtbn9ac+8Ks79wBKT1QJi4D7s7v/jeiTfXJeVOabjAFA517Ddcp90qSlJM4UQO/W/fSj+lwYzZiA6VqxG5OehOB3wnPGJUDv/fXmd9qzu639WZP+ljt2wFz1O6pzgbqgXxW68FzgT/v13774/wjRrY172r/XZ5sxuF7nQAfnKM+B56jPt+C5ywDoAG5f1+qjbzk3HmMFf8j5caxn3l/X3Ci7eGQNoG8B8w7ND9U5X4PaW/CcV59xHmprfW4BdKH2MaCdJjgfAb3rHYLma6pz7uszOer0r+3ZZgzmHDhzqjGYJ2BehHMOzDlwlLX73/pbf+fGX/j5n//YIZA+WroL0UeQ3n9g+uPOOun+gF2rld5BOq/+gB7tnHoN8RGw+92aan1LUT7+sO/v1zJl1+B5B+Tdvr3Dc5Zr595fu/J8TYXeAbrxIobWP3/qdx8PPEeBzgNkVeaAch4kjcpzmmqOqNTv+9bDgEN+PM9rZt43r8c5wD1R9bnwvNc/93NXnwu+u/J8VJv7WcV5B+6j+hyAM4J5AbNj8HW0cxfaCWJ9kG59VWvELvVhC9QIkgTLAkpBId/1Ouup+Ym67uJO8aZ1t/bp7BOYKHDkIbhgyDrCquwALAJyAfOoBhemq4ilTyH7UmO8lLtdrR4oXXW8OYZYQ9d7IS39ARHYlmPy+IQdqnLZD+/ZdhnjI3+8bGMN7MCSGm/q+RYA7/XMWaZ1uokHi+VxU1OreOahvYDcJAL7c5nqc/fbrePdB5+1ojcujF1Qz/iF5iqmtX83nqra+3vVo84940E/Ku8Fw4J/5glj04afPvg+KvXHXssxqgLvtckFkYI31nHe0lTgO5eMpW4BxNJzLrhWWch81prd5IJArUd2NdJZ30QJHQaMK/FizpvAoRU767BtLH4rKcLz4xhVrhMjxkNfOhNYgsBSAondg2/YeadecUHgAK8Csya3qGz2utOFggbAUuVqnW1rqqd2co3XMhECdI4LNSrwB3BnwhDj5BrzvuN9AICn2pffH1ppCyCBZap6VbsyLs+3SmiOzxrXjD+Qq6ylOcfEA4iqQjeA/el/HagEQAfWuZ4uA9aL1tKesbMfLdW77XpAcUEy62qzPpDReufW+iZGxJyxBXQW7AXCeZ605fZ+rJpdaGqctbbXtYPYWFdeGGzdavbPNrGnvufKTg39yA50+70JKSqWY4n++Buqc8GtriEqwXWJELZaV9z7JK+sw3wUcJvokIQOlODlEsG4OL9Ce8ZhwlaSWcoBQKt9ITRjYpmwmmPiHNK34+BcZm7xN4Za45VIps0+55C+rGHfSwgIPoWM2oyrpgbWAiOj+D/3VNZnvpkUYvKB15s1zrurgEkn2u6bfBG1vK4YlZTRj5OxM44c2507yKwi34SQfv0Bz7mXCNBNqDCJweSE/Eao8+d50vVBRTjXra4GgnuVzTTAtNBc9bXwXAV6bMkLsKsU1y5f9bfx1Eqf/SRRpBJvooQvgE5/nCshPu9jhX7Xo4HDKrX5v+cf3PzJ1//ah/5pvrOsBceoih5oT7/OI+INNCeWfOZeyGcdWHzlmrGMCOfJBKXA+I99boHhwmgAtWM3Rlq3d2W6NuxaqI/g3HVZT/U9n1NzvuzbBevEkxjwfx7LSTagGSP60+5eBTrL+b7buGcMH//M9z/00d96xFroU6V4+v+3zHZ9xcBnd4Bz/l8FfArPsW4HoG/ZtK+pz0fQvc9yfQugv1VXx31Kc5/7XatF+7FW7Wtweh8037Jx3wfQx7629nHMGDosV+3us9WxjxGgC8+F5qPiXNU582re00//Gp9txmDOgTOnGoN5AuZFOOfAnANH/RjvIJ0fU8D0//jn33fXIZi+BtK7Gr3DdH7cae+OIl2YPoL08YfyqErfqpW+tmz8sT7C8P55TQE+qtpHcL6mPnesQPMO1X3f+waga/m+zy7ehAIBerdvJ96AcwA66rCuMldp3gG6qnQeGAnZtXHnH7L5A3reN6/XbP5Rfa5N+qgi7wrxrjzvNc/XbN1dHxjF527DPtY67+rrsV46gK6Ddu3bhbQAN+vY8hBeyBbFk6rBssCO9WxZnXcAK5gXoPOgnXHyyn0GMNDrXVsb21rPKo15AM4+oziuur4CO6GriQG+1wpb2CqIFbh6vCrTBZDCc6Fjt2EVfDIeoALjAdawLg/KWV/4a31gjp19xC773hcWqAuYCCQui3a2VT3da2Jr404fAewFxIXl2pkTn1gQV310j11L9Khdq069ddYDWguqemzsU+t8+hEYaz0usFVJ7jj53nr0bMf+hMUmLgh/rc8tZLd2t6/E13kRl4EC6bHur/e9zro1t03GUE3erdej5GeOVp1uQZmWupYaEHwLNqwF7HkCjApEtKJnTOwzLgknryQu1pEPfKtzoQV9FM81ZmMSwF0OCKrfTUZgzqhwt266c9bjdl3j7jlkOz7Tv8pcxgncTZ3smkMBvbgtlLpUtwliBFQW7Gg3zTLgkbbOfNbCXltn9qUyWAW6dcX5LYF1MteRtu4cA9eRantemVPME+Ab3wHA+E6ba62bBft8HzvtSy8tavbcW1AVF1y0LjggMjXXH/z24h7BfgBdwDe+474FUPqrP/M30z8xVMFPDIlRSlaUI4fq8r4fATf9+Tkg//wzO5X+uacWwKmaV6trt/UeHBtuatSXEwj7Sc30B7+dWAsK7cM651q/q24m7oGBpdhXgS/YZmx8RzzZRotxVf2qz1MK4eyV5d7vsbGPfqy5D1XiE9sxfsuBpJ55JRYI0a1jnjIfX9pdc4HFXF9lM27dea3gXa49vu4Wftct8B2/lv/CadZjjAHjrewD3xvXJEVVsoPzP/Pl4vMBkdpgq3C2TrfvVYJrqZ7klXuupG8TLuhbW3ydVmKVXipwbfRNjPEc6wrjebFGuzXtVW4zfpJOeK+lv/dm1edcdwJ0nQp0mBFKO1+1lFeVbSKAFvWM3bHoXmFMVJgDc1VTs5yYRgF95xOLiprxAqtdj/dAXy3Ik6hQUJv4si8SZbjvd2t5vmd9reMB0DY+Uxf9fb94y+u/8NHPxJUCCIwCnf7tg5iYhJBkgbOXl8Qhzh/79XwyRy1l4G8l5nYSWS7v5rv3VcYmyGYeCcW1Yad1ZTn7FXiPqu8O4VGLC8f93jrrbtMBug4AnhsU6PQHLMeyXbU5jc/jMtalWXfdWuijCn3+v3j6/7/Mdv09q+tlGP/3x+59Sni+pg7vIF147jKV5zghHlKPrynMtyB6f262pjjfpzY/ZNVOw3VxzZ59BOeH6pv7bHJt2RpI3wLla+Bc2L22/do2WyA+/Yw28fVZ6/Z+HGtJAqrNR3A+Veenf23PNmMw58CZd1QMTn0As80YzDnw7pkDo717V6UD03ut9GuF6YDeNVW6P/S6Kn2tTnpXpfcf2Ws/wsdl3Qa+g+pRxT5C7L7skF37WMP9zx/9/FWq9A7SRwv3Xjd9H0CnTwG66nPi/cJ3Xgw85wE36nMButbt1kDvFu6q0n3Fxr2r0OdDkdO/Hmf7yd77yOhXfc6DZ0Gl9ugj1O4KclWYWrd3CD7avHeALqS3/27xLpBjfx3gW1faz/ShmlbwxgNg1bjCGpVrPuhlOQ/FeShsrVr74QGxAFXAz3tegWWo23jwLpCMVW1BWqEo+wbu0AAFqtZ5EN7VrqqPtQgXli8W4qWoj/U1cLIU1Ty8dj1BOlCMfas+F8AyBhXB7AOAwEPvZaylEOVYF3vwUkaafKCaVxtwbcx5FaQKox2Tteh1CLC2tEpzLb1Th/f+nRpfdbwJDIyB+Ug/1lmn8b3JBAJt7exVfVuXmGVCe+MqzBbmOreELCYUCHRNSOhJJSYrqNTWycBa845HC3neewzsh34Eo4xLOGztaZoQNXbNF3fq4NQy/9ob9eKtm2x8rVtvHW4BvDCOfXDczkPnhhbxvC4OBmVJbW1465Uz1m6Z3+vBByCe7L5XGd9dE7RoV80Yh4OTXf11tgc8s5xj5TxnnhXo53hNMEgf2C6X8jyg7e5nc40LzbnWBVMB6ygk671qaK9jzlfqQ1dta/pkrCToeW/Tzpjj5z33A+eHynPmIsApiSYPv5hXYZ9JNQCsqHhve2ip2c5nxi18pF/OeVTIdf4YE/eSJHeUnXTKM5StPOPkmNkv9TcBTz/74U8sVujakqtqDvh85NVFNU1crT3PeAXAjK1DWpXprGM96qihL+6ssePycXYHVnvNdMGyCUwq1jkm63GnRnrBYiEvcaVv5qFW3BxzygbU+WebXpM9iutSsC8JAlUvvSueTfJwjNr4C9EF90JuzpF25CYImHRg38aQ88Y42Lew3HMZ2/AHdw4NJkUslvyVzEAfHCvjVv2vywJziHnm+oxJVbb3bNX+NBMATGSI+0JdI9ppq2YWHPZ66IJhAW8cCwrEOp9MUuD4GDfnTxcW5xT7Y6w6xXA9m3ShA0RqgJfzAPvw77c27oybue/8MHnFpCH/7lnvnKZKnXgzh4T3fEds42pQ6n0V66kdX7XlGQdJGSrJAbe0qMvPXs62glsbkNw4EicV5Kq+U4v77OX07f2J41KZzmfmhcfgfaNbxwui2Tfvb7jp1qXmOON9/5nfTA10zh1JEElEYLzEsZxxWE+VOfPUa5uYqUQPxK/fSt6HiKXXnK5ewGpgtqBboG0dc/4X43teHbff9W1Gu/auZqexPv3QVKSzb/dB32mlZtemXRU67wXlKM5VnQvu2aaPiX0K0Sn9pmpx/q8y/1+bc+AnA89xf+hOkYDRf3v57j8TWG/VIvdzh+m+76UL9wH0LaDeIXoXo6y5Q249rzsGnPfyhb52Ec6W2nyEyVsK8bVla98dC9PX1llblmeja3XUOyxfqa++qNFXLONNCNiyaud5B8/6ZhLUvHfPe/ecA3MOnLkqBjMg86KYc2DOgbf0Q90f61vK9EMgvavQV0F6/RAc7Yb2gfQ1dfoI1LtKXcg9KtfXfsALr9cs2tfA/BY4F3R3gN5hfwfya/B8hOh9P/2fB2JE7XPhudbtAPEvXvpqVOU+oLGpRO/g3FdroQPRUaHPH9Xz3nm9q8+Fil1pLhTtdcuBXb3meVeaj1btozq9f6ctt8tUVHfbd1XavLJfmtbywl/ht2BWACRYix1xqblU8amw7mq/rvJmP4zNY1URBniz7rJw0brUgku+i5qtlOep6frQ9wJKgAO9trQ1oUf7b6Gl32vP7b60LFf5LNTVFtyavcJH1c9ahAvxreOMak9lY9TtBcCsfRyFYdVfV81MY90oQss6vcNqQbf23Gzr2K1FTv9dUU4TMnUlflfum+jAueE7tu+gW5ivdT3HzHqxX2912OmLZdl3wWK+7ypwrdcFpmzjfq23zjqeC89jt253354PPguSBcvOo4B0bJhLESns09a+14SPrXZZu9N36jZXfE3wUN1vTOmH/rTL9zyqQs7Yy4rf8ZgEoAJdx4Wo9+ucsB19GieheHcWGJMouB6iSK+EBq3dowyupBBV2SZ55Lqtcgwci1ATcChAB8QBirRwF9BGkV7A2JrqHDPbc5zWiAd+q0DXjh1Qze8NgJPXDePiuKxZDXxjGdsAwKynrPo8IO7srvawNu6ARdXnugJwj2GclnYQFia5pWqNc47o39rg1EDnM3AfeARAD/TWQrzmqBb2lrKgr6hLVY+XDXkH0jTVzdketXcpfOkbiBioVtbg3m+Fbuxb2Mz3WpMvtZ7v21nUa6PNvTZ1mZ/8owX459otC/nA8bp/s5+Uy6iEBGLM9cBYYtf9+Ms7y2mSakrRHjvyuvd7XRG7qG1Pdok9JjoJiVV1W0tbsB1QXXb4WsQz3vy9aElJXqvGRDjPGF3uvVDwz3rOUfsgTnGk4BzV35ckYDz0vcw5gClzSghtfHsdb88T55HrA5t24CxAE4DIZ+A5rwJY5qpKfsslEIP+t9XEAyG3zheM0wQE50NXy7N9t6mPPXwpv72GeFWh3l0CTEyiJXY11014YRx8JxTmOjMhBlDOq3FZLNO/tEs04Bolhvl/4UvPLrAa0K262v81uK6BrVzb/G8hQA/MvWsH0KOoL3jM/YkYa+O+XDdVs559O8aA9rJ+175clTX9xVb+o7ekrBXW7VG2f+xzr/8nH7456yeh6FPfTBy1dNfRgP4te+Ac5nMA/tdf3c3Puga8hi1JQfKBycrCc5XhHKMQvccoivGqwc6rqnSt1K1RLkAfbda7bbv10O3fpAbt4AXkrIcyH5U+qvObPn77D+1bgM77binvq+AeiI4KfVq5n/7/L7O992MwwnOfvwFIeR4kPO8wu9c4/+H/+epeVXovG3isHfuW8vyQTfuaW+MxivM1pfkxtc1VZY8Ae0s1fi3wfJ9qfM3m3fV9Dmrj2SjPRBfHzoLlvh8FSOOYxzGpSgecM086PJ9W7ad/Pc82YzDnwJl3dAxOfQCzzRjMOfDeqJXelekC9S1leq+JriJdkN5f+w/CnjX5dmD6IcX6lmp9DYwfsmtf67fXKqeNSvQRoo9tTX0+AnRiQsx63XMeaGvHLkDvCgTt2gHmPDATmneozjZAdKzcyU6dKvTTvwZn+8mqzx//zr/5tkC626erMh8BerdvH5eNwLxDeKF4r5Vu374HpI3bCkw7wBfwAw2EcQLwWBujZAOiNYBOs95wIE6BzyhpL+/U2QJb1dMCaUAg22pFK7wDwATYF7SMGrPqnLM+IExoxz60zLaetuprra6FxUJEIbSKX+uLuy3AwHhoJ66i3QfeglparJtLHU4fKsSJhQpsvs+5ACAVOOL7riJX9e7+gXksYx3BrBbg47hNemBdVebW0OZcEk9BewBaqcudnyZ5WA/dOtTa+TIvtGC3prbrCp9NAOB4HJ/fA1BNaNCCXWeBzLHHXltU0SZz8L5b1DNuldomCrCuMNrYscx66AFyJEeo/i1YbC3x7gSgQp51dRoAFLFOV/x3Zboxpy/PIWO1ZjnrMF91ZRBG5XxWsoWKdecD6/jZY/J68DoyIaHPWc6B1u26GqhwF86b9MB3lmmwfjvjYn7qNBFV+YXnAvm4LgFV1oDmPfAJgGTZANXmrGvcPaYktTz8YuA5MJpzFPh9/tFYHFtvOckKZWFNf5xzxsb63CcAqJ9ssJnfK8AqayOzXFW8dd21oO6qZuH6cg+oa5XtORbAOXEAkgHu2f8NN90aBapKadXBHFugdwFkwZh1vFWVqhb2XicwNe7AMxXNqsZVnuv4oUp4qVVfNc9zvi/s7NCBeELOAOV7n8yxqdjWalsVeOzjCxo7vsztUi9b81vLc2tlJ24Fz4V/zjHmAOeLc245AOaD4FoVuXDXc2F5C++b/z97fxd7S3be952XAXLhGQOB4yQXkYxoNA6SjKRxIhpyABkCREMgDFg2CQiYMIoxpGFn7BHDkDAzIocNukF0Swckw8Mcmq22JL40O82EItFoAyTF6REByhYoR5qMc2kYCOYidwPkZu7EwffZ61Ncvbn/5xzapg/ZrItC7V27XtZatap21fo+v9/zf77/6qW+uU5Ux6W651ChjatHdWbX3n7bT9s252bBdp0yn0W8czIBTSs4YvJ4r3Zgoa9PgdkCIgDi+l4wVc7z0hMM0H3XcwegBeM7t11bcqZTt9fHO17nsvLI8071X5kEHXB8oFjnsnCo+ld9RzX/1GeP4BL5x+UilyudM0H3hq6Z+j2nl86ngDDwHGRvWddi7wSu09oDtPcZVAe+qcxrE8p8MJ36GcBtArqD1nKi75/brnrJiy4n/R6c0vXQPaf9tg7VNjV1gNdxAui9BwWHu1f91M//9bF0H5i88rpTsrPVn2CS7l2/9soF1H/kck4EbNSvm1pHyghBEtTsAgnY/wPiTZTiyr2D891uXX3GRv2t7xjIvecq77u85EA61XkTSG+f/c7WHYwPoLcfwPxafQ7Us57fFejXKnRW7ue7yvm+dvaB7877aWNvjbk13vZTf/Gv/v23/8JfmXG0IGnjRLfyklOcmwD1LNvvyl9+F0C/tTx3n1v7uLZrv1aZ72rzW+D8Vm7zR+U1z42xsUPzWzbtj5oeJ+/5w9TlOxC/Kz/6a9ZZwBws93mH5tcg/XHqoWzX4LwxjlMYc96jz3v02QfOPvCmR7bB2UjnhXL2gbMP/AsD6bdgOmU6mL7nTN+B+rUq/Rqke9i8hujXedKv86U/LlC/BbuvYfitqNjr73e9BOxT4Fy+cgD9GpT/f//+R2/O74Ln9lvdezju+GzbGwRrgIv6YM9vvivQx+7z116ZHOgAOgX6DtB/8d33XinS+bRyP++fPyjq81wXdvU5a/UdoIPf17bs17nPb+VCv86hvsPPPY+5417nPlcmny0HmoFLYHYHx4d695nPH/C8gf8GjxsgD/w0UNx9hLJTnm9q2sraQD8427r9PnbQKx/zqE43hTEba2ouEG/PhwtmHkrlpRC+VloLKADGd4t3luBg/K5iH7v2l37vgPuUrPKXg57gbseonvJfU/qCPtYFSUf5ueBs+wK5+zyWyAtKt9/qwIq7tmkdgQGtI9+4elGSg6a76hmIbRvKfAr+lgE18p1XFhC/fbROx+78gim7cr7+CKKD5mC3iVLb+ao/Hhb4D7517psEBoDzHXfyHb/4j4/zNjniV65y8Lx6AKf1s8rYd5bTwTNgo75bOTpvoKK6T7t+5hsHBFRLVS4AACAASURBVATFAXkuACzb2aO3bnUC5J3z2voIOFk5zzkiAOCVSX+VL14fb1552+d1sIh+xDWhtgImR2m9jgGsAmIBNrC5egXYAD+wjfocXA1EsdumoBYY0r5r72AcgB5sC66CjWzLKWe7zzSpY/1obLlfuNhSD7xOBfvC1+ZZJIhWGQKM/Vb5apO27Xi129wr2J4Hr1cago4x97qPXRTF3cekieiYrOWDQQGj6l/9qJYB8AGrn/jdA4wBv+A0pbh88qDtOBssVbr84GOJ/cznD3BL4Vz5qmv1BOCbKseeD51jCGV7xxhYt5TdcoJXRssFBchZL29z5WmyHuvzzmv9o/PARt11UN0ozwF6Nu/ue8FfqnWK+AG+3T+fv0Bayyeo6/mvHVCb20PL5KOv/7juB5Cv80IpD/g7zlidr7aYoIDuN8++fLRL+x318uYeQBlO0dz+qLk7PxPg9Uv/zfS/lOYB9Pr3ODa8++MDZfsMZLN9bx+CKNpnfXGCWhbk16+k0qh+lXHcIZ6+lJnKfu5zGxD3mV29fN2VX0qG3VFmB+hdX5WrMvv/lxtd3m550mt/8HxynS+b9lGe1wc/+luH6r15kLtj1161UXP2982bWq8JLPZbbUmxDjpXF3XgkFEdJ5/4U5+dugS5vbNQsLNxb+qcdY33OVCe40QQPVgMoKe4DmDPPt7//MWl4amLjXx11Sc7D33v3UgfllpAmpnW6Zy1/jhk5MazbP65Fewq7l11Psr3Bc87tnaq7AD1Ya++ADq4LV859Tk4TvkueKG26rN1UrI3FVBQuxRU1D59bs7efVeg7/nPuwaubdxPFfqTf4c5p9f3+yl4nvvjj//pH/31P/On/3f/7zf/hZ+Z8bPGva7zkl8D8l1pfg3O71KQ3/q8q9xvAfW7cp7fym/+OPD8YXnNpTDc4fk1NN8B9zXMvvXbXXnKHwXgr8H5vs+7lObXavM7ofkdCvbd9v01x13Q/Nqu/VSdP/lr+ZzONjj7wJu+b9rgiRfgnM42OPvA67MPPAymF5W+52i6S6G+w/RrkO7BFUzfH5wfBtNvTY8L1feH+odB9FsvANfw3G99v94PMM7e/S4l+vVxvUAU+Ut53iBYg0sNwjQ4FBxv4CcYvtuzG1S5zoHeIHbTvh4VelDxhOhP/lo7p+9eG9S/99znFMy7zfoOsn1/mPp8V5ZTlO85zndr9N3G3bqjpv17F0to67B0tp1ymrPfpk5l88tCdx+Ip5yjTKV0ky9Vfm9qcwpwynZwSx50UHGUc0t1DJaO8vhjF5vbpsABi/gGnykcm1iKU1trjx0QBxsEEVD0gpLyhlvGzr3yg48Ux4GDjgeOA+BA0bTLBstZgAOj+zLbUodPWy0VOuvlPju2fN9U5gIOwFHHcT5rJ6CcHXnrNaBPdd5+5RBn117dBFRwI6AApz6X45xFPxiuzQDoAxQsUOY8g+lszuVNr77U98psPbnQqeibV271C5xR63dcIA/gZmcPoLfvQ3n/4h8ekK59gHOcFfQ5fVRAguAEwJ/SXBADBf+eK7rl3BacHwEBQLyAhN3KfbdjB6sFP4xd/urnckPXnoIM9mt8nAk+fLFJB3A7R00CZAb2Pf3yAB3Are/93udR9b7/c4fSckD4Uhx3z6i83bvkQO+a75nDc0b7oB4OKAXrKl8Aqj7VtT/9bqWLYJfe7/0GWg4UXGWqLgMBX/q9A46OxXi5pFefEChS3bkhtL9Af+XqmabyVoaAWhNld9sI3AGdWWC7bmrDjtN+uycOBF1K46Ci9SiFxwFg2aYD6bU/e/3qCPR3fBbfhzX66qOs0bl6zLWy4DGFd9uzn2/OVlreb4pmIFaea1CXxb6gEEEYnUcOIYJeBlSvdm99QUgcAUDgjl9/paDe3UcCoJNn+qnPHvnlq8OkdFiOBa0nUGbypj+4gPDW63u/VT7K9d1JhBpdP5Zbnsrbf4/c3kD6BI8teD7q6gWFm4KFQfTAJiAaPJf/vKnvbds5COp3vPov62/14UzA7h0sn//l9d9Xf5DywL2H8wZnh4457gVLqe26MbWN+0jXDqcCqvvO8bwvrP7SOl1nwWEK9R2gT6qCpz47AN37gnzvOyymGmer3hxoD5Qf5V1q8wC47ajYBQK0b04UTa3T+01l7Fx0/Mm//tRnj/Mk13rnq/P0hre88wiaCfZW/q7/vsu9Lod89exeMSkGssVfgVf91nF3R436dJN7d+3p/OwOAZUJDA9Ss1nvuJV/AmmC6eVhXxbyladtKnfrH9D8re8YuL3br+8W7nKg725j7UuQAIhOZd7+fvbNbz/22XF2QM/G/TrHem1/DdCbfvYX/uYnTxX6+Y52vqN+98bYGlvb4fnP/cc/+c0Aein8gGzzW6D8FkgH2e9Sm98F0a+Pd2u7W66Oj7Jq/07AOXi+g/OH2a1fA+27lOSPsm+/C8Yf36+s1l8zvwHJbyrMt+93KdhfM1/jqqD5Cc7Pe/F5Lz77wNkH3vTP3QZnI54X0tkHzj7wXQfpHvSvc6Y37TD9LnX6tRr9lr27SNO7FOkPA+n7Q/rj2L3vQPxRoP3WtCvQd6B+nSfdZ/buVOi3LOOVvYFs8DyIlfVisNyAdraFe57zXWHe1Pr7MuuMCuOZT8++/rO/fe//Uy70ckKzfTqvo/Ne+oOU+xzY2/OeA9o7QN9hecCmaVeeA+CtAxg2wG35rbm837eOC5azbwePLQfp5KxmrQvGUOUBbABP3xscBlioXxtg71jtM4DRYHLf2b6235Y38A98BgCCCaMsf+7r83uD8QanB6QFnx989VCOy9sOoqq3NjPtSmfwWdkAdQr8tq8+1aFBbgpfQQCU6i3XVmDvAMFl3w56A6Zt12cg9sgpvOB/51q9WHBTzTpnASCwGQxknQ24UqRTNO/52wFZ1t4D3VcO3D0ne9+dSwpQin5tSFHdeXMuOk8TfLHlaD+g4wLEe75ydvVj577A8Q7XBQYEagQP7MEGtfEeBEJhG2gS0LHbslP6K0ff5RCvPoB6ZdvBPBeF6hYAYeWunUHz9l0bUJDudvDcFuS258ogl3vrCuSgdu83eeFZtlNRU+q3jXYAigUmtA9Qs/5MMRz4cV6BX/nPD1i+ANWoRD94SdkQ8BkYR10d3FtK6PaxW9Z3rQemqboDQC1raj+Tz75yLBvpPZ+138BXyvhRMK88ztS8qVkDkm0zMK9ggs98Y9pfrmjOB53r2qlzOME6D7465aqcQfOWdx2Wp/2HfuxnBgpJO2G/1KWAM4Vz5x2Mnj6wADm4D36OivnZl+dYVOhs2tmcc/0YNfoHv3Cok+c8PP3yYeE+YHqpmSmsd9t0NujgtHztHU8u+CZ29Bw/+l1O7n6TI34PJBjL9nXvHJX/05cc3Pr+OFOs+jof8r+bu6cfeaHleX/25ePe2qRdWOh3rgVvcAVgcd+6LWs9Fu1jD7/OldzxTdIQTB9e/2ldE5TvggnkDZdPvHahSu/6oDynajYfeB7UfddzB/AEffUJdVQGudnbd+1T2wsMmACV1t/SVEwu7vuvXpwsNmv++Z/56G9NWSm9QezKJIUAx43+HzlY6G8U50FhDgNdQ13DBeSOW8PKfz7leObzc92Cvm3X96As8M3ivu8+7xBdoEGQuDZuG/brrR8Eb10K9SbHYKk/VucfuDhl1QZyr1cmFuXyqwd45fYOovcuBF6zLVfGji+IpfNS/aaez1+CQppaPumuclV44WtH/xRUVfv1ewB+DyKgOjeB260DoO+2+GzfA9PBbErww1I96P2Ll+VyoZts6/2tYwkoaPnYwL/tvYfivH2lQrfPA6qv/YP+tRX7di4CrNxbp32eKvQn/w5zTj841u0//qM/8pXgeVPwvDGvLNkfBtCBcvB8B+d3AfSmxp2ugfm1wvxhavNb0PxR8PxRuc1Bc+D8Fuh+lBL8GoDfAuoPU6nf+nynAv0h0Pw6t/nDcp3vv9+C5o2vUpufivMnf92e09kGZx940/d9GzzxApzT2QZnH/jB6QOPypnO6v2WOv1alb6D9P0hV56jW3nSv1N1+qNyqN8C7Ldg+Q7M2+/1MtsHzftMed7cdK10v4bnLNvZtgNYDd40SNzUII1lcpQC5A2ONe3wnCq9ganAuQGYU4X+5K+lc/qXpz4PoO+5z0H069zklOl+u7ZtB88tA9+vc6EDuXs+9F1VvoNhv7Es3/Oxj237Andts+cIl0t6YNACMKMu+8grh/LU4HaD5WOX+sEvDAhosF8ea/bwY8W8FLJTxgV6AIqAQOBNjtwG8Buwb9nA1WUdPaq8ZScsvzcLbPUe6Lu1gYAGSnhttVu9U1M3B0C1N0gGLrS+763bPoIK1Y1VNlUoaFObANoUy3sebRAYXKbYP4IcXvzDA5hXRrnFqentAywNAgKyVMwgO8Wz8spfLCBAoARgzAKZgpwVueOBvizlm4K08qEH0PqN3XBQtXOnDM6hY7VfFvWTE36lFpCXHTx3DYB3tYM86CyPAW1W1gIbnAfb2i+b+gHxv/GVI5CC/f6eY77yUBWyawf69eOxo175wDt+y6RaABjZruu3bcPKXsCD/PDK3LatI7hCQIDf1VfdgznBHlb/bSvQBdzv+hpL8Pd/7rB67hqlWu0aDwSC6AAo9fooZR9cnAYEy1Tfyt69DWQLBPX80fNF1/8otO9fVJgs9SsHyDTwKYi+VNyjAn76pbmmdrUpqD920it4RxvJJa8tWOALuOhz97LuOZWlbSnmf/Ln3jrgx/2NUwXLdmBsgkzuvXLAzUkFsFTNlN3Vd1TWK594bTC5lJdV+LglFJi0IPaoeD/4hUN5z7LduZRHOTA4IHjBaOpledL7rB3ajm3+qOTLu77u9eylKcErI/Vz81Gef+LiwkAJPfnOV7DT7gzi+BNcsvoJi3ugXYDBuGosdwkBO3KZg+Pg+uRkX8tA/N0BwX2LHfuuPO88S+vQd9ba85+2glu4rbROfapzJqc9+/WWSWsw4PM9nzosydmCt6zvAHqf6/v1MykDqJjlMx/7/dxYVkAD95cmVvnaWIDEfq/WDrbhJNC+Jlf7gqOV2fXG+WAPElPf2mCCRj7xpdcA/Pplfbfro3eH3gNGwZy6+32/eeQGlyecbbr6A8KAedPk/C49TPbyC+CyKqf6BsVblw07IN/7R8fsfYQ7Fpjeskkd8f6L7Tkrd+eK6nsCHt7yzgHRBRVnW962Ad+W1WbqUJkmwKTAuY/+1uW+8htfOZx0uia6n3TOuofV92s7qTNq1wHsH3pxyl2Z5AoP2st/3nHaf31NXnlq+111HpgWAPAaZfhb33FYubNVt/9p09UmlQFA77hymO/7SnmenX37q512iN46bVN5spCXx30U5+/4rw87d+p0EP1UoZ/va+f76r/4cbRb1u0//RP//h/9ez/8bw1Eb0woCL6n/btLfb7D8Yepz3eAfq0232H5nut8V55/J0KTR+U2b5xvz3He/Dqv+aPyjN8C6Dfh9CMg+y1L9rtA+TUQvyu3+fV69veacc/9tw2c79DcGGv9pTGNM8/5eT8+78dnHzj7wJv+udrgbMDzIjr7wNkHvmdg+uNYvV+DdN+vH1x3e3cP2tfTo1Tq1w/zt1Tkj1KY3wXmr0H6dSRuMN20K9GvXz5mf8uyfYfnDfQYAGtge3L7ffgLM9DT4FADNtTmza+V5wahdpi+A3Qq9KzcO2enCv28l75ec5+zb9/h+W6NHoBjaw2i78Cc+ny3ct9zn7d8t2O/pSrfIf2uPDcH4ipD+2sOpLFtBdB36CTfaYPsQayBhWvQekBP6rtlX9uAe2CBQpt6FkAHR+WSDkawOmYdzaK3soGtR871BQIa9Ado+p0tt3o0D5ZRlrNkF0TA9tby2ge0lD8csGaPzqoYvGXXTQl85Ftfud/7DG7JYQsWg23s3Zvsh5IZ/Gf5ThUPsrMCr10DlEeu30/+waHyp6B33lmmd3zqc+1SmetbIPIce8HV3bpePnP9Sf8C/gF1+wXvrM+mXc5yUJ+iXxAFW3mK9B1SUvlXp/67lJ+rQpAHkAb1BswtFb4ysrIHmQVP9Bv1OXv6sbxegST1OSkG2KJTl9sHUNn2ADXQ5TzsudOlH6h8zufuWNCy2hno13/0D7nm91z21OlsqgG4QwH5wrfguZzKwOHkT1421V33gZauV9ds12TbTL3K3yuv9eqblL1Bpa5/OdAB6p4RKHflAgbxKPKbB6iaVwbW3DsQ3JWblOns8usTVOaujdpvFOpb+oLmrdM9LvjUcajmg4M//Gf/0sBRltncOaZvLXXurtwGoid45cOXtvI7RbHc55W3clNEj737UtdTmYPNk4t8Kcorw6ipF0CtfZo6VvvuHAY9BSrVhtwl5j622lfe7yNlwFLR10/lMwcJm6auC3LL3d180kk8/7VvAdwFutm424c+QfHMcl7fdN2wuVZHQVNU1wOP771ysXFf54KLQr9x+OAKIRCMLTlYDwofeeTvvTJ9fMrxsVfmf6d+3rnwP2TizlAbUJjXTwaev+u5mQfNQXR9NUBJvUxJzIFAHvvKP9fJg985rOP7Tc75yuqaBc/1kwkwWcr+lgPk9an6V+WiPm8f1bf2ce8TAEQJ3zXQ+4L7gbbpfcBvQW0BtdUPYB57+01F7nMTEF1ZrnOdv2adBeYdg2J9lPTv/vi0bd9bp3eQUVR/+AvzDgPo1+9q48nL/sv3p1xy0wO9fW5fwd8s23cFeOD4J9701w5oX79Rv+OZZwUZd1/1n+MaFAjk3sHxhHqdUr985JVDHZ2nfptAk2c+f9jgtxyYpv5uHsgOblfeyp1ifHKXryABEF2gQ+2r/SnFqcVZt+9T+wTSO1b7TqmuDIIA7MPUvptTyJv2XOg9Uz/pZ/tzOtvg9WLdTn0Onjf9sX/1X5kxrx2C77broHnq9B2g//9+99tt1++apBC8BcuvPz8sz/ldNu23rNq/k/zmD8tB/jAV+sPykz9Msf6odW/Nd0h+Sxh0F3A/lm8Co2t79iZjqsZYjbk+6f57TmcbnH3g7ANv/D5vgydegHM62+DsA2cf8GB3V970poeB9Gugfgum7/ZOt4D64yrTb0Hxa8h+60XgUSr3axurwPmeH/0antvulmV7Axns11NZNGjTwBNQ3gBNA0G+U6Jf27rvEB08v6VCPwdGzmv49XYf715EfZ59O1hDYX6tRge/wWS5z0Hz6znlunV8p163bwCYlTXFMuU6CEtZpmxA23X+c2AdYG0AGAgJgsh3Poqy9376UGSxbjVY3yBx+xsL7QXl5ZGuLMGB7i2geXPW7aMCXErpoErgokF+FrrUrwETlrXtu/qyCNcm1M0At0ABOcUFN6iznN99tp9+A2+BGUqyfmMTTkFMXT5qwmWLXJ3AMMEJ7ZOSdFdetq5ysnFXNnnSqaQprtme76BbHvcG6VsPEBZgAPg65w3o17fsxzoUzZTP1MWVmSIeMO/8AeaCCNi+g8H9BiJUTjmprc/OfgDdJ353ylS7U1gLghD00HGrn/4uEKG+Y/0d3ivDbo2v/QV3sPt2jts/pfm073Nfn+/HMT7zjam7bdqHII/2VX+XjmByFn/id+e8yLmufK2rPeUzn2tx2dZLSQD+Op8DMBe8r1wD4VegAJW0dulzQMn3ylWfO6yhlwI3cFc/De50vXetg55s3gc6rjzNA02X2r5jc4joPHn+qE5Upl3TO6AE7GrT7qfdewTvtLxnEgpi5QPc5B8OMLGrb95+aovavPsXR4BgVm1Ye7ZcXvXAeceorAU19azzv/k/vGmgGoDe9Tz9mVp4WcRTCVM3d7+qT7BPH6C71qlOtTUL75ZXDsGL1Vub9nvwr/twdWq9ue6e/9r0DQFF1hl1+INLEEN9obrWDk0tB2dZsev7rV/7Ua8PhF33/f3zca28+IfzncodAJfzvGVs4CsXO3HBR2zV5WefIIBypa/rRxCIXOm1PbcSZZhzuQXZCACZIITyy6/AFbngO47jDojufKz78/Tjpz57Udw/8/kDXrf9qLXf/7kDnIPpEzj21GcPtTkFevAwNfABZf/GRw8LdykRxlVgU/f7LFhAO7B3PyzvV8oAgRLgvyCB5tTjlO3+NytLQSIgvzL3W+dEGpaugT4X8NK1ECjv2ug7SLzbt3eP8D5AOb7n5x44vEBtc7nIKcz73Dy4/ZrfN5C+A97avWNSjbsPsKaXm75tR9394UugTveJ9s3KHkzu+qaQpuL+E3/uPxlgPE4ZCxxXvvbdvauyDERf56t+3rGa5vzcf3WuCQFjgoEEy3ETaKpvaBv29srY8eRtp+bXdpTi4HVlDHo3f8Nb3nnAbqpwyv22290ABCPIO8+63b7ActO+b2BdGwLnzg3IX9spq2mU6psKvff6E+I8+febc/r+bIM9HeKhPv/RH/nKv/tD//Y//Q//9L/zzT/1b/xrMzU2tFuxB7P/1//Ht4D3tY37XZD8UQAdRPf92q79Ouf5XeD8UQB9H6v7TsH5/nlXbz8uGH+Uav16n9cq9rvynfu8g/Ob7ppXIP0anO9K8x2an8D8yV+v53S2wdkH3vS6bIMnXoBzOtvg7ANnH7j1knD9stDDYaC2l3AgHUS/S5V+/WDrIRtEv6VO/04t3h/2++Ps61Zedcr0u+B5v+2W7Q0EN/AV6G4QI7v1BsQA9CY27iwFGyRrIAg839XmLdsB+jU4NygWQKdCDzaeAyPntfx6uZ/fpT4HuW9N1tnh+Q7Ir5Xn5pS1YC9Qf61wN1DL2psCHTy2r5YD5MrlGJS9/b7nraU2ZUtMAUX9NTlK3/vpCzxht3z/1QPAAvsN0s/+f+2VGXhvv8ELtqcUrG1XmSjOqe3GRnxBqNYJElD1Xqtw+0yhDzyDjoFOSusdQgL37aN19nKDNRTHAhHaB9UkwMzeeOxbX/q9wzYY2BvA+eCyjNoSDJa7tzJTMYOtVMoFAOgLgPoEC6y84+yeqw/b6codRBNA0FRbt4wyflTay04exOYiUDlbn8X27mAggIT1MpUnG/b20WfQfIDWyvl+WNdvDgLm/UZtKw84MEzxrh0EgajL5PFdwRP23yS4Q3tyMpj+vupM/S1XeOtSACtTEIlFvuCC9sPC22+du8pTP6hMrdO8PtC+Wl+gx+QAf/ESDFCbCRJwjD1QxnWvDaie9VEW18c1sYIswE5AtusKaGxZECXw1nXGyl2+5q79+tZYWT99uQ7lhO4arY3aV/WprVpWPQPoPYdQxfb80HH+1Nv+7mGL7Tqv/etPk5/83hcvAPfplw67c6A36AOmUaQ3l3O4Nq5f1B6VuWXaq313jJbVFp37nnMq50Cw5796BBwG0Mtt7b5TGw0sW/mO5aruGKMqX0C9+kt7IEiALbd8252TUZ9+5JWp69jPf+yVKXP1kWe9uWtRAIr88JWnOTU11Xht3X7kPBdIIv0CtT93AvCbvXTfx+J9qZsro2sAhB77/ZU/XJ8SYEAtT9Xu3gSAO95AxADyUsOrH5eFzofgDMeiTm+5unUu1Rto3+3axx5/5YsXfFW/OyzlV2DW5JBfedKB6pbVTyeVyEpxEHimhAbG+z/s+6jPF7BsvQB8faj+3v+m66pjTBDVx16Z9gmSVu5+24NVfNb3KpPr/fh/fP/l2mD9P3nUP3ZRXe/W5lIy1bcpo3s/6Hpo7jt1ef2zbbr+eq7v/aF3hpf+2xcGoAfSwWeQHIyd4Jtg+rJsl6vccmp1AByAt671KJhB4wlceN9vTvsf+3jqs5fvPZu867nDRaN7xrhoPPXZS5DCunfYrnIHhdt370dgdIHF/Vb7peZunQHo7/vNOY+dU+2pD3V+5t3p+UvKDwC9600KgSZBKRwqKnN9R5kEEcjVTtFv7j2r9XcgXRmB7TcsK3qguv0D6CD9BCGtyf7A82vVuWUg+g7Z57h/7dnXqM8dq/JT81Ogy5mufLsK/bQQfvLvN+f0/dcG1+Nhu3V78Dzr9tTnjXXt8BtIv6VC3xXoQPrjKtEB8R2e77B8nz/Mrv3WmNl1jvPdpt343XWO8+s8598JFL9LSf4400Nh9yOW3wLw3wb5H6I0Z89+WrM/+evznM42OPvAm35g2uCJF+CczjY4+8DZB77TF4cibwPpvZA/TJV+rVDfFenXMP1amX7L3v0uGO77XZZTd21vfkuBvuc6/zbl+WbZLtd5gyMNoDTw9eXfvuQsbGqQrGUGyMbicOXZ63uDbg1q3VKg78pzU4NrgHo27lTowcbTxv28ll+P6vMdoFPSAtM7QN+t26/t2oFwCvZrNTpQCggDgNTdew70BtbtjzU1yClnNEi5w0fQFPyUl7rPo5z90JcPgNBEvdYyA96pRgNBADoFMLgZBJnylyv0/sW2HTinCqfaHLVoKuxnX55BZ6Ct78B8ZZJzufoCzGDRKJIXaKXGNwE0Ag3YbQ9EXb83n/2uXNrU4LadPPLreM474FX9W39XT1OAVjcgbT8HysaCHMwH/rSnvOPO/24JbjuwOCDDvpqqHJwOoMnzLlc6KC5XtPJRg7JcZ23Ochvs7feWCRZQL/2Twn9U16td2aKzw9eu03+XalVbqkP1b92Aj6CRyuQcOd/tHzRkSS+YgtMA6Dtttaz6q49UBKz1BQKwsNZ3AWpK7lEdr7zochYPwFv298oHsu9BBUe/XfV3DgQy1LbO557DvbrW5tTz9uHYyjugbuUrl5d+8iXff3XgDLVr13H9Ezinug22BO0CSK0jv3rbdazOZctA9O5jUseMGvzpl44c6N0/OnYAcBwmlroXzOt+wnq654pAGAUs5eSoXz/8hVkemKqP1B5zjAWvKs+cz7UOhbac6ZWh/fXsVP3af/fplgXQg0PVlT1zbQjmUgX3fc5NQHvl7O56GQv31MwB9AKFFjgDoUfZ/K7njhzhlUdqgOre/pyvzq1j6Z/UzFTk+kD7n1ztWa2c0AAAIABJREFU978052JU3iuNhmvWNd62ADO1P+W8e/nkRM9NYblP9Ln2aD0BV6OqDcKvNmC7Di5K0SFYo3OhLasjVX3lGyX8vQu0B8MBeSkVWMaPu8ALl/00SXExbfzgcp4FARzwfs07Lvt3zgHy1qtT536CIJ767OGgIPe2/N17DvRAIWjpf7Lrpd/af/tgN197j4NA+cJdCyvFiRzl9QNq/s7NETix3CSaWk4l3nWmTajGW7Yryfve71ymBMsGjYOdP/oz/+k3/87TT//Rr9+/90fB8t4bmrpGsvdtLvA2iPqGt7zzAN2vsWNfanRwmGNE7VWb1BbgeO3anLW43OcDzReMpZ5nYd6yzk/b7Okc5l61rOt7j+ncdf5BaXb6FNNyc6dAD+xWr+45rVsu9D/9c3/jyBfePjun/V671b6dJ0EOfZfCpuvYvYGrzgT4rPctOeCpwlnhdxxBD7u6v/lu8V6770B6n+Qir171xe5j+u60Rw4BK/AA6N7hORDfZ1bwoPfkVn/bewekt3/9vkm7qlN9yno77Jdb/VqFfr4rPvn3nHP6/sx7TkySdXvq82zbqc8D6I0pAebXSvO7IPpd6vNrFXr/CTuM31Xnt8A5yP4ocL6PpV27Q+7QfFebPwqeP4np28D8rjbfbNv3/Oe3VOc7OL8Lmp9K8yd/XZ7T2QZnH3jTD2QbPPECnNPZBmcfOPvAPwtI9yIhV/pdMP0apF9bu98F069V6dfzu6b9oX/fx//zA3/1Tgh/y8Z9n0D0a3jeII1BpwY1gtsNnjVvIKOBmZQplA4NyrFiNii027SD57uFO1X75FDf1OjyolOhBxtPFfp5Lb/e1Ocv/Pb/+KUXXv2f/ilYDmjuVulNez7z3br9Ouf5rhZvnR2s73nPR4m6ABuAC64rCztycBg4B+lBOUrNya/8mW8ceZYB2AZ+WQQHshrw7l7R4PYoM1cudOoveY1ZngOwHbOB5OoVIAsQyEXOvh2AYy/e7wGg9tP6h9Xzh758qGupageeL5WtYIMDwq4gAopk7aZtBSmAmC2XI5savGM4nxTetQ8b7OrX9kAsiAN0V+c+A4sATtvueerVI7gFPDd3Pvss5y8VtUH69isnPEgtMKF6V17BGJTV1MrVlQqe9fYOcNm8y9EODuzW7hTlytrvVLOcE/bghubAHut++ZirJ6tykJo9N4v5IFBT+24Oouv/Ah30wfoOK/Wx0v3MNw7gKsc5Bb1c9mzX2UvLkW5d9tKcCUBztuG7tXSfx3J6nbfqLN/8nLvVRwF/kF9/VSbnXLABi34BAdc56fWzQFvHFxQwucs3aNi13fcgUM8CtYMgGYEz1bd1A1TdAyZA5MG3XCTY1tt3ZUvN3bxnirZrHhhr39wlqLK7dwTOq2vPIZM7eeWBHuvxlPy/9so8u/R802+Bpq6XwKBrp+0n4GLB/e5d/d7zzdjPP/vy3NOqw6QeCEJ/6MWBfB2fCvwnf+6tU86OJy97+wWGBV80dU/aUwfU7s4vUCwnN5vn6gWWzr1l1XFg30cuylnK6gmCWGruygIkt8+WKUfrDyBdrgdzPlc/8N+krPpYdW1y3gWAAOn6L+v06rJ/pvTu2GzgKawFCrCGn7zmK8BAQEPbUuqOEv/X/+EBvCc9wlLhs87fnR5ajx39qHu7BlZgA6Df+soitYQAiCNn+/0LnK+PtozLQv1F8AjrdvmpQXNT3wFZDi3U6vKIT8oB6U4+cbFvl6O78k9ageViAoJ3vevj8mfvMDwQXp8XqFI7dp1MAO0HPj3XXNcJBXOfxzVmQeKB2O9+dqZfuf9rByw3AehNAfXgeu8CHS+YGnAPPlM472rnwPORt3wpxIPnrPFdxxTltQO1uvznQDqAfuQIX0C461tO+tp3VP5PfXaeVfpNrvnjvrH2RxVtXh3KgV4b1Ba1z8+++e2zrONR80991vnrnWcU7ysoomO2fHf0cX3Wn7p2uXyNyv2ZixJePb139btg5draeaoN6lv1scpFeU4hTkU/tu4r97kgBEEGHac2qX3ta1eUv2GBc/sH0CnIO15QvEl/d75ZuZt6P2y9vWwD4ResHxB/qtCf+LvNOb0+RCSNed1SnzfGFbTe1efXkPwugE6Bflfu9FsK9F3gAZbvVu2Pgud32bTLc/444LzpcZTktyzUH0d9fsv2/aYV/JU1+8MU6Ds4f83+7rBn3y3az5zmT/56PKezDc4+8KYf6DZ44gU4p7MNzj5w9oHvtA/clSu9h8weOIPp1yD9l//in3kNUL/Olf4wVTrrqOsH/Lum1jU9Ktf6rZeLHaLvEbzynaf2asDawEiDJQZiDNSwYpdnlC17A13NKR8oU9i575buYPmuQr+G6QH0axX6aeV+XtPfz1H+d6nPr/OeA4aUyY+ybGevDub6DTzfbdl3xbs5OGy/O9Bn8Qwks+T2eyCFjTgg1yA94AZcyOvdwGsDuQaxqc1mYHYB9AaTD/XyytMdmKl8FI/yJbM63nNMV9dRoD57gWujkn3m8weEYeM7Ss0FDDtWdTSn6AWiTdpT7mzn7NjXApl7zm3AXc71PWe63OO1v3zpAA6l9BHwsMAopWGfwVxKcLbljinQADynmqZeHjvql37vAMtgavBcGVsPXKbipqpm5z5A7JN/cAlOWEEJbOTBW3nEK/dAznUOgH4AVyAGG3nBIc3bb+uPNf6yGAd0J3/4Ond7nnR51IFh9VT//vOARefduRE8soN65w/wkx+8Y1EB62NyesvxLbgCnB3ou2z+j/zMpT9YSnZwuf2xha9MrPg7xljDr37netnPXcsmmGX93rH2e4E+IABA4Id6duzWqWyCPSb387KDlkd8VMjLdvxQnC+LdrA74DtpHe59cdqg61QuayCzNuq67bw09exQGdonC+SmjkUpP4rbldNbyoEBUc98/rCy7pi1YSAuMNkzS7BxrLzXdTOK/HUOBiSuHMSHzfy9Lx7W56zZ2z7YGGBs3x2bhXv3tX4XNLNbhAsC4Vwg93vnavryspTvWPJLS00xAD1QuOy8K9ME13T/7H638mOzZm8dVtBcIdpnx6rOglFYvE++8+UyIACkZfUb6SXajzapjNwzpCqozVm5c1+YvrVSULRMXnrlm7zbT798+X7/ouK2bW0BWlOI+9x5quwsriev+wL4LRs19oKUzi11vOsX0K+NQPbqoK/bV9+737CSbx2uIK0jWGsPGOn49VmqcoA86FowWYpf6vOWNQ9gguxdY7Vxz9PU350D4LtlXSvAuFzjTfLZc28R6Fo7dL8S/NAysNhzeWWQs3tU3h+4qJvbpud8gbZdS4HO4HGQ/Jfe9yvHM337GZv2dz87MDVgTr0eTM3mPNg69ufvf/6Atn1uO3B1nhGeulxj7OwnBcwCr80rJ/X5bunOHl/wwg7QZ59L5V69HIuFffeQcTzoPWgD9FTTlZvyurpUx5TnqbLLAV7dgGe26pW9PtO56L2o8yBFQedLkNrc11cAjf/HudbL074U+gIFdsv2PXVWn6tTfamygteVbc9RXp/r9z0PuYAB1vXmnQPHBNDB8fYJyL9hwXQT0K7tdut2rgB7zvrKWTuC5zs4N0+FHkQ/VehP/l3nnL5/2uBWKsPGuajPg+d/8o//sQHojTFdq8dzE2naYfl3okKnML8G6VTn12NVD4Pn/yx5zm/Zte8CGAD8GqT/syrSb8Hxb4PwN/KmPwyc35Xn/DsF52de8yd/PZ7T2QZnH3jTD3wb/MA3wHkRnBfB2Qe+f/uAh8lrVfpu8Q6i/82/8BMzPQqk37J49xC/52ACx6nVAXO/XU+31OxU6OU093JxF0Tf4XmDWg3mNDDTYAWb9gY4BngvpVGDPg3SUDeYjyJmDUA2iGeQjM37tY37buHeQJsc6OD6dS70E6I/+WvjnP7Z7ifX6nO5n0HqHaAD4eyuH6Y+32E6SL5bu+9Kacuphfu+q82vLd6DIMDprkSnEGZJTp1YWQIe1MVtP4rapchr4LpB4wZGG8AGzilVm0A4UISaXe7nBu+bB252O3Wq5GBLbds68us2CH7A+bX/UXKtvNetWzvtebxBSFbt6k9Z3DJgmDI7EFNZ+21g/1IEO0esfhsQFxTQYPgAtKWgpDStfmzPqYwHsi/7eqp2YIv63Lk1ZyUv+AEQ2y2/wWmQmcoZpAZzg2HOq+WUw20rRzhVeZAXoAW+WePv/ajyCUCorvLIU2U7FvBbewqgoHofKP33Lkp2gQL7Zwr0qePaV+0gPUF1GyXrAhaTAmABC7b4426wIDJLa78HPyhh29dupy64YbfFl0u5enMVAJH3PkCZb5l81lS+/aa9a8dJX7DSHTj/9fXWca5d8wIyagOf93POMYAVfn3Pdee6DuQEf+Rm7vrqGg8WHuD8/Z8bcA6eD1Bc+ZfbpkmQgeCD6iugT5AI6GW/LevcdcyuidqWA0DX9GEd/8EvzL1lFPjZmi81K5Alz3XbdT5qr7El/9BFmduzzEDU+68e6tRAIwv0IGVlHQXoh78wFu659fzrP/IfDQia3N7rXtj5rOz6m/zn+lffO+YEAy34zZJ+wNm9C/jk3kGZHFwdUPz05V7XdqzMuRi4p1bHpo5bO/W8Vp077sDWpT4PtkqnQEXeclNtL0d8z4Rs0yvv5JtfwQLdh+tH3DfAa/nLjyCAlcICkK4O/d4+2p+c64dt/ALirVsdKpPgqkMh/uzFOYJLAXt2SnMBMNxSasP2Yx/tv/PFUr912sfAzk2hrj8LBgDN+2+r3zen4BU41jnz/OuZeE+LFPBuqj1B8j4LLJFuoM/WFdzavieA9fmvTn/t3HQ+67eU49IYjFPD+kxx3X9z17B819Wn5ZNm5f6XDtgcZAVyA7D/5s/+X2bqP36s5ZdivuN3jAIH5HuvvAHSP/Hn/pNvZnNe4AAQLiB3h6qeEVzX9d/a88iX/oFPzzH33OjHtkvZXkBAy5ur87hULEhc28hNX9n7Xf7zniO8m4D84DlYHCyvPtWrshQs0O/Vq3YQeFAZ+l4dBBh3HGkzuERIRaJ/CuqQGqO+pU9JiVNZBRHsbQCeg8+Vt3Kznu/8AdUCOLQLOK8teyeUux4UH6D91nccEP06nzrlOIAPmlPQC5pQ3o7R+nsOdCr2HcYH0Fm5n7nQz3e08x318frANTwPqja29ea/8DPf3NXn/9mf+9/PGNJ1/vOmWwD92uL9Fki/hvHU7aD640Dzh9m1X4Pz63G2u6zad1i+f771/bsB0u+C5keqyLf++W+zZr9p134HOL+lNj+vl/OeefaBsw+cfeB7ow888QKc09kGZx84+8C/aJgeBOvhM5DeA2kPpwD69XQN1K8fvG9Zve9AfbeYMvd5z910S4l+/UJxDc+b94LCsj2I3sBcgzsNIMnX10Begx8t67O85nIMUjk0p0hvCpw3sGdAb8+VaKCwSd5zSpVdsdI++x1E7wXvhOjnNf39eF/v3nGtPt9VzWyud4gOzF7nPd/B+TUcl58ZhAfx9vXlMt/t3Pft5D8Hjvdc1rbboTGVMbtRKkaWwOx2gw1g2UCtNUjNppaqjFKQBTjQXDlrB6q6Bpsp9AMYgGDHa7C5srFElX+WShNoA1MDR7t1+253DzhqI2pkx24dSmP2xdo/gAzydX6pjNsHmNRgOdVn4EqOXaryQE7lA9UaPG/bjkEFykWAEwCrboAZBAWw1YdqWvBA+wdI2cuDx3K170EDAGttWlkox6nt27dlzk/bTt7glHQLbgO/4B4rd6Cenbjjgf1Uent9KVF3e3427gMlF8gXACG3OkitHnKltx/9QpADxbf6cE2gsNUPOhY1YVP7pHZtv9Sv7PrbJhDHdrp21UemLB/+0uEeYA7gc1JwHVL1a/8jcGD1CQEAAL7rjRoapK/u2r7yVoZ+q49KiTB22Pe+eCii5aQee/Gu52cvwTOtI1UDCN5nttzVsfMhN3VQuvvf5O++/6XjuSIVenV2v6QaH/v+5792KMCDqgOUn/rswK9JBXH/S0cgYM8zPbeMuvml3zvU2BwZavf2MTD43itHKgjAPvjVsp6dKqtggoBmzy4p0Lu/cRmYoIf7l3zU0k5MEMKC4vKfD7xe94fuB6NIXwpoua8H8i6gGeiTKqPzUxm7jll9N3VeK0PrUaCz9m5d/ztB2qB67aI99NnagzuJFAjtk118ZeV20HruV4JB5h68Pre89SnU5Xff6zhq/+e+Pm0sHUdlALqbc54Y54tySG+BWx2jif015X7HaDuT/uY8DRBfcLPtO6djM7/laK9NB4Cv8zmq9tW3AOzmTRwK3Mf3ST5xkNzUs7PnZr+NVfszn55l7b/vPZe37iiSP3DJsV1fYbkudzcQTnHdepOC6SOXvOo90/e5OoDeXbOTr32lYahuHfta5Q2uBl6D7pXN/hyjfdZGwdI3vOWdh5I+4PzDf/YvzfxHfv5vz7NAILX9g6ptM/eWpz57OGMd+crX592ufVdm95mCnY17bQGkD2xfFvC2FVQw1uorSKU6eddpm7HcX8C5+jQFzgPHXfsp0Ct3AL13qD6P4lyb/OrnjnYV7DBBMuv66Lrj7jNBZSuQgmPHXHMrhUNT7S5FwOSB/8ClbeQXT/0fiAafa+8mjgeCAZr6XPsIZHhNu65J3vNA+G7XToXeFEzfreHBe6py4Ny0W9JXhtYxAeevgfXb512FHiQ6c6E/+feec/reHtNqPGuH5wkVgq0B9BTocp83ftWYUarwWxbu15B8V6Hfmj9Mhb4D9I53a+zqFjy/K+XhPl6227Xfgugg+bXy/BqcP0xB/rjW7Lds1nf1+TUcv/X9UdD8LnB+QvMnfw2e09kGZx84+8Abb7TB2THOjnH2gbMPvO76wK5KD6L/H3/sxz9QrqgidJvugul3gfQdpt8C6teWUiD6DtKv86JfA/TrF47dsn1XnoPbKWD6bvCqgZMGZChlqMRZBbbNbucur6JBWAC9AaPdDn5XnxuUAc+vVeis3HeI/qT7wjmdbfC4fWBXnwfP2VaD0Hu+893OXT7zXWVOae63fRkrdjDEsh14s2gHvv2mTJa3f3AyALGryo/PG3y3LpvuAZcf+vIMugcQDNTv+WAPS9XNmnUAVXlll8KapTSAXlnbX3ClweXqSH2952Vn0x2IGUvd93/uUDdStbNAB0nVRRtZxhbescBb9u4AK/DMLpsymJLfNo4Nlsn9PLl0V+7gfq/McpJ3nD4HdwIvtUHtE+wDtQRUDFBc6nfBEO2btXzLBTsIBACfBXOArg3eq/uRU3u19a4S775PSQ/UV05l05/bt4AI0FiQhD5FCb/nOa98wHr7VkZ9WP56wQRtP7bj7PQ/840JaGBN37qdE4EjwHcwTHkEgYDl8p1T5cr3XhsNCNns+YFtULS2YdFLOd62lYetPpU5e2vW7SA8pf9Ysy9Ve5/b72FDva4Fduxym4PigjWsV3v1+0DqVS5uAHKxz/lKbb+cJIB9gQNSCoxt9cp1PjB05SCvPsGqcZx4z0WFTo3OqnuCBlZ9KkPPCj2bNNVOXcNBxIB6x9jvjQJH2LC3v+lnn7jkvO6+Uj0Cdi2rTPKlC/qjaO66cs/pc+UDsAf4p+ZdsF+QwwTz/MZX5jiVu3IFrQJq1bNrrzJWNwEz1afz1qSf+F77db4qO9W1IIK2rxydf+p+ed4HRD/78tS1+y4ngFEfL3cE92nntLYVNFIbSsHhGW5A/Dqfgb792u5eU90pdCm6XbvUsl0f0+4rWEKahwkcKMf5sjq/tmcfO/8CBzaYLsd3/yd97jzILS+go3sR5Xrbt07HPgJVlkvCnktcgJcApuraeW9fXAhAbzbpPvt9zyUuNYSAhH5nfd96k8e6NCcvfO0A2kFv6vNREm8pjZoCmi0Dr5tXznEaeObz84w94P9XPzfbTXvfuwBbyu2OU7+pDamv5TOvPBMY++FvBbn1vM7RoLJ5jq+s/V552J/3vsCanhJaSqfm8nZ3rOrd8YKjAfQ3vOWdA9Czs7e93NtywHc8FviHkn+px1nJg8d9Z9/ut+Awa3KAeM8N3rz6zXvPU5cgATnKa+fOG7jb9qz25T5PeR9Az7krgN49IEv3Jm0EcE86q+zgP/iF6fv14dpj0ogsJ46uUddp7S+oov5ae7Y/ARH6kHar3pVVzvCgNWV5E4Ae3K4dgfYdaHsH263w26dA586dvOfVu3MIogfPs7Lv991+vWMA6E1U5+z6fWb7zyKf+pyKfQD9AuhNP/3m//x/2VXovaOfoOh8Rzvf02+PY/VO2lhK10pjK00JFX7x3fdeefsv/JVv/tx//JOjQP/zP/wnDoB+bbV+lwr91vQwK3fA3Bw839MM7lPOio+ya79WnN+lOr8r7/mj1Of/PEr0mznKH7Hut8HyhwBz0LwxyhOcn/fA8x549oGzD7zp+6YNnngBzulsg7MPnH3gu9UHevnYAXrRuj//4z80qvO7IDpV+uMA9Uep1Xdl+m7nvtu334Lou2V788n9+qEXjwG38hd++be/ctgotow9YoMou0KcVaKBu91assFDaiEKmwbPdgvEW/btu437tQp9z4de+5+DI+f1/f00WHGtPgfNd/t2E8X4rjyXE33Pgw4oA5wsmymg9+U+7wp3ubvl82Zf7jd22+3LcpDcfgI/4It9UTayFZZLODDRwHwAowHZBm0blN3t3Of3APqDrx77lU+aRfxYw5bn9/6rBxg87OcXJGrdyiAnLft4kJM6t0HpPrNc363swXGfD0vVBaf3c6YcoDGoTk3m9wAOdTY1JXBZ2RpM164BobENX9AdxGQzzAa8dQQ1sL2Xq17+crbLoPeeJ7tl+gQ4DUizh6dOFthA2W1bedP9Lve5YAR9FqADmWuDJnnoWbJX//ZHQQqOsxevPaoHhwDKcu2lf/bbnmNdn5H327mq3HKMc1/Y7dH3XNEUwrtCfP/eOlIEsI9vPrD8Q1++OBMsa3dKcjmp6w/Npy1XHnnq3YBg7SDveWWUu3nO0wpgoOznrNA6ey57Vv7VH3gfe+AF2p1LZQHxJxBg5Y+2zz04oHO127TPNfrM5w/IC56zxbZNAFDfUb/aNFgeQO8+F0DtWqXArOz9NukBnvv6fJ82fXCBkhToXfvB+ebV4UgTscrW8Vs+tvFLgTzTSkcDkMurLRhHKohRfOemUX2ffunYV9AngF495TWefv7iH84xDwv8FNHLraA2GNeMFSwBNlNUVy6q6o7X7wHyvlPGt37lqcwD+APby8Z8rORf/MPjvto+Wdbvav7atLbvWY7qPygY2AXX/W+Ni8K9L85x2MXrHyynqcd3BbgAhspe325OQQ+6A/+cAPrM2prN9QRNrHK1TtO4CLxwcSJoec+mOwxve/nDBQoA363Xd5BcXvHao31br2PsqnIAvYmb0zgXLIjcfyEVtxzi9WdOLAAlOB5Y9DxsGcUu9XhzfWnW+eAXpi3nWf2Zz8/32mFU1h+85PPuXI0rQ/D7mc9flMvvuqjGOTPo46Mi/9WLVTg3qcrpOR6o3qEyQAu+U5LLJ94+W69z3f9BdcypIZgrH3wQfpTvSzkuyK4y9fl4XlgK+cohV3v1u7ZtrwxAbMfz2THUQ1lbTvUuzQPrde9CgWKq+SbW9f/BT//leWcJ8AZ75UCn1qecn3QPKy2W+2ptXB+bgJP1f8/VxH12Aud+4ysHQPcuNe9jG3yujlT3cpvXRnu+c0C65QB2n4Hs9j3nf7XF/g7YBI4D5s07h294yztfow4HvfvMvp0C3bvmuBhszmbtv/V263Z2+VTvuwq936vXqUJ/8u885/S9rzzniAac9276no9/6R/8+v17f/S33vFffjMVemNaAfTGoRpH2hXooPitPOg7HH8YRN8B+j7dBdD3lIQPg+d72sMdnl/P74Ln1wr0XRl+V47yplvjeY8Dy4993pHX/DU5zR9iz74D8zO3+ZO/3s7pbIOzD5x94I3fYRucnebsNGcfOPvA67YPXCvQyxfVlApdXnTzonkfx+Ldw/fDIlKvYfquRr/Of36tPv9H/8P/cKjOGwxsEFDOc/nI+97ARYMuQDdgvucnpygxKNaATgONgJ9BR6qbBkoHVK0BqF1hfm3hvqvSr1Xovej10neq0J/8NXBOj+9YcUt9vk/UudfKcxMY3rzvFOK7Utr2o7ZdAHU/xrUt+bVV/K72BlUofKmV2TxXBmrhAbYLfgLYwMXkXF1W4JSEo2JduWEbTG6wvM8GxXcLaKpS0Lv6jlJ5WdZOPunnvn6obambqf9aB0Sawffseu+9MmUCEOXgZm1PVb/Dc9+dn74Hu/a2C9AKLLCdYAYAHTDtMzArOKA27V5JpVydaytAuXWV97AqfvEPD+Dm2AC6cwScymPeQLw62Xe/q5f2rn6U8q0DWE8O9xf/8UzVpzaVlxtUB9kEbMjPrY0B+vYXEBiF95rk4e6cVobg6q5I7xjs5p33sW9/7uuH6pTCnDqeE4N27fgCRvTZ5gEvbdkxW799tq/JLb5s4qniO3blqw6du7FyXrb3LQNF91zxtZc+wIKdpX/bye9MNd8ySmd9znmtHpXDtdz+OEa4VvUb22l7IFXqAQrplgO5cqOznwdhK8uuoGaXPXmOC1ZZsKtJPmt2w5wg/BYEdK5rC8rv+jiAXjlr2/Yb8Gs/rQd8Bgn7ve363P2h5T2jUMaDu80Db92bqJ7bRvDCwNW1D5Ab3G0bKvtx13nx9weuTc7vBy8fAL5j9wwTQG9d/UoeY2kMalNBF/qtwBWOAK3fJLe2stRHOjYV9cD+e5ec13LMd9+Tp3tyji9Fe/1FgEf7Ac5Z5teu3T9BdHPT0e4rhUTHBJvB5+4/AHW/dSz50WtfedcBe+vK7b2D7X15+92B92GDvu45uz06NyQw3frVuTJbR5kmMGDlEhf0OUrxBy/PszFb7/pa0+QD/8TvTF9oHwFvfHieAAAgAElEQVTmnldbb1ID5Lb04S8cNuhNAUnq7yPII1eDgPeyKa+PX6t/KYv7r+xz++k8Uy+3v851ZdpzmQ+kf+qz87nyUfO3bylTBs5/4L87bOcB9qZxQbn3xcOK3bM/YCtXNTA+Fuvv+dRr1NwCAGrzwG3XhTYLggbQy4FOvR70BsYP54otzzfbdoEHh934smzfVdQt71rc1c6gMkAvTziVe+u0TMqG6iNApjq0fXUOFlfuwDmInmV7U8unTX7hovRufwIBpKvpHNS3BJbIdS7Ybe5nK7XEPEMVzPOJ35n/nMpVfYH02lqgQvvVlkHnysmefZ8EPtTeAiIEbwDaUnbtYL5tqc+BbGBbLviB2cuynQI+G/mm3vMo2Z0vAQx7sPauPO98AeY7tJ/pysq9PM6nCv18RzvfUR8Oz3snBc57Ny1I7qX/9oVvBtEbt/qTf/yPDURvbOoaoO+27QD6w9TmD7NyB81ZuIPn1xD9Wnn+ODnPbwH0azHKo5Tot0Qt34ni/C6Yfg3jH8ee/dqafYfmndvr3Oan0OS8D573wbMPnH3gTd83bfDEC3BOZxucfeDsA9+tPtAD6g7Qs7oqV1Q5o25BdPPHzZe+R7Leimr1YA+i7/btALpI3Vuq86A52/Ys25sagNjB9j7tAJ3aYQaTHrw8g5IGOw2e+txgk9x97NsfBs/3YzzKyv206Duv7+9H9Tl1rknu8z3HOXC+Q2+QbLd5B0H9Lg86G+2WU5KDuqA7tTIYTx0MplA0O1ZAxzECIQBuEIhNt/2yomaBHcAZiHPvlUMB2pwda4O9QYOWjV3rsy8fUJIiuLICI5SRVKujaHxwsTSXn3fU10HV+xd7XqrRjsE6HdiubmzMgUnttsNmykVgkh3yNZzUZmAYhfvYsy8ICzbLKw2OB9YoOAU0ANZsnffc39aTn579a/1n7Mc/840jzzaoTElvG+ebkl+7DNBdudX3POks4FtGAc/poN+o8FtO7Qz09l8wttorPzy1fcdu2QD1z3xjQDNlbutTcbPKZ3E+IH/Zu0/e8+2zPN+uFaCdbb+c72CF3yr3XhYKYNbdrM07T02jNF8q38rZsoGvK2c7kC8wwfmQMxo4F6AA6FOf9x8q4AJ8Z1vf99qU7TzYzZLcus577VUZgBptoG0o+CuPcglc0AZs6Fm3j7X8Arwger8F97ruaitAqvPaMnBq9rUCbSbI4JnPTz16dgjoUg9Ty1K4axuA9HjOWDC3+8OAyc0CvPUngCbF9MopTl3bdtIJ9Nl5oDKnfGdRP3b4n/jSlCXA3NRx3MsDSAG1npMEfzjv1dln6RvG2eL5r007j13zCuhoW+pyZa5stal7mnsIqCulAEv3fmdfPgEwC+K77jp+7djzYW3eM1zPhM17Zut5MVDX8yJ42nJt3nXiP6v9+LxDdXAaUAe7d6cVQZjdC80pxx3HNUmZD3ZXF/bu8muzjp8+tYI4g8RN/Q8A4JyUaiv5vQfmfeBbub9bt74SYOycB5M5rLTuHOfeJT9467AsB4C5MBwK8A9+YdZte3m4K0Plav092FSOcSkRBm4v6+9xHFjuDup+2I+nJn/qMqdC739YbvRxDQjcr3223vSpUq9kAf/UZy953Z+5tNXkGl8qYX0AkG77/sdTkNfvu1bl9+ZSVfmDtWzq57/g7zz/zX/9R/6jgepBUs40wDbbcwDa72D0/l2QATU/u/Ym+cC1ZdB9B+qgOZhOeS6tTPVpLkCBdXugvLIH0CcI4C3vHEgsr/hP/txb57MAAOmvahtBFYKI/H/0/+s/aYJP1v1pUiXce2X6T32w8h0OA8uKv7YWyCBPO7gNMge/g9Pq6ZzuCvB+u37vo1Cf+rztvReL9re+4zXW6nKes3K/znve1LveHuQgX/01QA/WT4DlqoPJ/gecL4C+w/ZThf7k333O6XtvzOoueP5ffPwr/3PPSwH0HAhB9NTnnBUbVwpk7/nN7wLot1TmD/ttX6fPgfMdnu8q9IcBdNO1Ah0ovwXVb9m270KVfb4r0K+V6Y/KeX7XNrfym98FzkHz65zmgPkJy5/8dXZOZxucfeDsA2/852iDswOdHejsA2cf+IFQoP/4j/7IV1KfB9GL2G0qf1Tg+9rSPVush8F021zD9GuovsNz+c9vWbf3MrTnOt9V500NkrZOAz4Nmoyq/JlPHwNcM0C2BljYRzbIAcD3wtUADwi4q3waGGzwzICpQZJdZT7QfFMkUDpc27jvED0V+m7l/qT7wjmdbXBXH+jFtgGLXX0OtlI0g7F9vqU6ZykOzIDoO9ilkAZER+38yYt9824nbj8UqoA4RW6wYof6IPuAt+e/dmxPdc4im3oYpN+VxIBUA/aBskCPvJ0NKgfQG5Q14N73gT+B7wcXBRZ4v7tbdH+ipt6t1ftMTTsg/8HFJrrB7+5JFNuTS/ST//BQvQLmcoFru8rvs2MAT+ATNS+AzB1gz0vefbB9Oz7bd6pwiv/AWuUcu/ICD5byrHPG8hropAA28L6ryfUfbUOVDUBTlrO7Z4e+W/FTrutPlOEs+fVN21b3fqfqHsv3T/7BYRMuv7agCMEBfuNoQJ3Lun7O4wo6YHfPXh0gHsvxle+ctTzo3P8RqA5U97l23ZX98jf3+0DvlXO6/qR89d/KMHman/v61B+0rgyt17lsPra7K1Ci78HjjicgQM759g+iXucuD5o4h+NKsPqrfOdyRQuq8Dslub5gmTbSh/d+JzhArm5BMUfQxwqEAWQFFrSvUUM/fQGGk4t62aQH9oLe/Q5+c5+ofeu/rQcmj1vE0y/POaOI7jmi/XSegny14+Q0L5hlUws375mh5w0AMTjVugG8nm+CWJWle5Lc5D2XCBTovPaZlXJ1bT+Vld24XNvtozpRZgPEbddxAond5wR1uA6kZhhHjPuvzrH0i9q0vtg+xvXgwaU8gbPK5h4w+ayfvYDY+kh1lEdbTnCQdQIIVhCH62mu667RB18d+Nt/Tm3dM18W1D0XBtSb517UZHC9uVQ/A0+XY4ggovqcNBzVe57/StHzzOcP2Fw5X2O5vizVm7ev/i9qn9p9d3gYK/jA7LoWRvX/ict1ymK/bbRNIDXoCaS3zqy3wHLHqky1Xf0MpB5V7FKM1ya1fb81gertkxq9c1p9gej6Y2UA3TtG+xP00DEqR9dB5QJupUaiAAZHPQu3vjJUP3Xu+qBKr0+ycJcDvX1URhby7aPPAHHLBu6//3NTVtB/lOe/ellWGdicC4YN0gZUQduxMf8/Pf3NP/W2vzvt6b+fAr4+U/9idR9QBdCzOw+Qti+qc3nawe3AOtv76rrnSe872N7vYym/3G3kPe/4PsvzTQEtkKBtO7fTH9Y9bFJBLAU8OJ+yHEBvDqL3XhVcDvyycOce4D2q/YDg7mHuQdJ5dC24x9V29SkBIG03aRy2IAjBAh0rqFzb7rnDwXPW6VTn3vF83lNs7bA7oD1QeynMAXRQu3nLfKc8B7ib5FnXnwWqyF2/v/vtUJzK3LGbg/gdg8V7UwCdCr1n8PMd7XxH+0HuA3cpz3snlXbkAOi//0/mf7//+8aaEoU0JtU4054H/Vb+8+tpV5g/DKDv6nPzoHkQHUAH0Xdo/jg50B+lQH+cfOiPC83vdI5c1uzXn2+B84epzU9o/uSvpXM62+DsA2cfeON3sQ3ODnZ2sLMPnH3gBwag/7s/9G//UzbuKdGbQPRbwDyQfuvzDtKvYfot9flu3b6/TPSiQXXeIHSDu3JYgucNYjXQ0wBJg2G9QFGJG9jot93msIG0tqUIasAUNG+awfaVy29sMdcAsEFAg4TX+c93q3hqdIM4ytLnAPovvvveK1TovRCeUbdP/no4p7sHLQr02NXnIOUO0W/B8x2Og7CAehOYTiVNJQ7a7mB9t3AHieWJZqu9A1SKdADcde531ruTnmFZp4OQA4bXAHCfR+27LKjZH7OqBdAp0E0Dh1Z+4LFCX3CGSr7vDWiDL+znqxNr4srZ4H3gY4AV1emDf3BYo8qHfQ3Q9zbeoTibbJCRephqbLcDZ6VdmWo74BIk3S3fKezlb29eGdmTg7Edt/oAziyoqZyB8T3IArCmyKaIp4ptmVzd1hM0oF12dXK/sxgf1VyQfdn2s3o3ORYwIGhA7u72V7val9+pZeVXB3dBR4ECoP5u888u3j71VWCC0h3Yrl6s/wUIsCsHH6kDKfXrewAy9T9ASiFLcVwdqJk7hwIXJuf2chqozqPyXrnLOS+A8e1nUiIsZwfni4sCS3lK8dahxu848tr3nUMARTq3BnVgNc7JgJ09a/lAT/uhAg/KUmYPsFvgrn4pFzrA13eBMpTclb1557VnBSr2yiX/efUOCsrF3b6qg3zA8k0Dnj0vBJl2NXH7ANlYncvNXd2CrnIPV0/noPIMPF3XxwSwPPjq/K7s8/zyzOdnX4JPAkXBxOrs+pXTeNwTPvTli+r+Q18+rjO27e7jfQaZJ5/4sxe759piyrTU8SAyOAw6W59DR/3A/UPQje+s1Hs+6xlvghc2eG5QveVges+QYKnrUrqP9sutoLZqufs+y3ABVbVL/Uo/7HMTVwPX7jtWvTq33Ata1rrcB1runj8wcKmvW29g9koRQoE+7bbU0VTmY3H+4UufnTQk63vH6Nhj59+1+7FXpv9R//fsPL//6ufmWbo5ON5v3BDaHsBufc/WAlT3gFV5uNlrT37uZd1vP8rY8qnjU599Dehv3665ylP7gJWs3qnyKeEHyH/kcg2xl5cTu2fxgLsc4wH0PgeM6w/9pzdneS+QpbZu/X4D4KtnFu5B6OzOA9tNPRuwUx/Qv95D2LrP5/c/f8DsCSyov7//EkTQ71LEtL8dLlNnA8Mto2CvnFThyl+bmlc37RG0BdCp0JsKCgZ1f+JNf20s3StDx2j7jj2gfqVa2AN2/KdwNnHfnSCb5WogCFpww64cZ82uDNTfTVy+qO5to8/tn6dvrPVrF/B8Ahx+4ZcGYB+26guiO1bfAXSAe7eN398Bd9v9XYXeelT+h2X7gujU5/uxd4CejfvP/sLf/OTPv+1v/63Tqex8P/tBfz8Fz6US8z7a1H8ngM4xpv94//eNM6VCb77buN9SoN8C6A+brpXn4DlL96D5XSr0WwD92sL9Og/6XerzaxX6tSLd/HEt3K8h+7V6/dtU5nfkNe/+dQ3Oz/GuJ389ndPZBmcfOPvAG79LbXB2rrNznX3g7AOv2z7Qw2wPtX/mx37sbT/1F//q38/GPWDexM69qRePx7Fw38H59fxx4PlrrNuvcp1T0DQY1CBF0DwVUQMsDeI0cCZ/46E6X4Mpu30kyN4gNli255nss5yOcigbIGxbaqVbNu4zkPLuZ7/Nvh04l4dvz4VOhX6+VDz56+Gcvr0NetEV8d+AxZ6HeAfoLG+7VimX5dFuCkrIp015eqijV15tSlGgfLfnBukpkAF5gBTAbx/s3ZsDxsA10EtxCuax/AYq20beXkpaMHKgz1LfyZXcYLY86KNM3aBF+xiV8hpYbv+VrQFlqkvq4MpVGQD9uU+98LUZoO643UuCWX1uIH/g9HNfP0CunN1U2tqTkl47guLOx+4qQH0PXO+gPdhm21F+LgC8g/UB7Qs2vwZeLsvyUXSvtgS/wVcqcf1iz5XteCBv+wDpRum+lOaANLU0WEvJXX30Wyr/ykc9ra8qf9tR07Zt7csmG3iv3aljbedYOyjfwTfFufZl7b4r8Cnl2dFTt7fOYef+yUtwgYAPOccp06fcC3Tal2VNqYHZ1wPwAhYco7KyIacQ7xhynlumf9fmrLxrZ0BSu0ifsAdtALmOC8JSkUtT0LlyH2jdylVbzfX64j+e3/v/7hrTT3blctdbfRS4rY+MJflSZ3dNA+ls3LlJsK2ePOgLAsuf3rlsWeXlsNC1C6BXxiBt0GhsqT/4hXkGGUv2+69ecoynUg+6sax+//PzzNMyeakrSwB/QObTL71GbR4s7NjyqQveGSeMldsc+A5iVdbOaWWpbGCYfN1BpmAau3epEDrP4DL79tqSu8LkmX9wcXhwzY9zwLJll1MeeB/Qt9TWlSm4X12oo4N+IPnc8x589egDe1BKx9DeHEK6L/fMJqCxe2hlqL7BNDb5fRdQ0v4pyZV7ggMW4B/F7L3LXB75Udu+cAksaLv6Zcsqf/Wd5StvenWnaBa80TNu7c6e3/8HlwHK6tal/KYGH5eBlSeeCr26CuRoWW1Yn5I7fSBy18RqY3np5RDvdznFdzt10B6krR+Nk0q56gsezcL93R8/AGPnYYec1NiuqdlXQP5XP3cpfzb/S+VffwzYzjl7+uXp91wfKlvbsPxW3vY7Fv0feeWwnJcXnDV919We/7w+Uj8PdPa5eUBcYEXHpBKnam/93gf6j65uFOiU7JW7Y8lLXpko39m0d3wQXz50QQIs3NtPE7v2tqc+B+Qp/ZWPg4Ac8KPqf9clqE9ueO8n7bMgmcouD3rTDnS7DwTZWaZ33+t441Dw9EtHqgvPIt1TPPNMAPLmQONeJDWWwA/OXsBzE+V21+mRb3wFHxyq8/VeN85juWxs716V1bmrzdrPDszbd+drYPbKRQ5yjzJ9ge63/l//73+U6h2AF7Sww3ntzl2g32zDtr12BOgB9D77XX0B9GsV+gmezve0H+T30FvwnBACQCeEaOoZRqBcaQmDvY0xUYnfguf78mtQfkuFfg3NgXPzXYEOnl+r0G+pz79TBfo+rnYLmt9SoD8KoF/bvV+rz++C5rvavEle8/P+9eSvpXM62+DsA2cfeON3uQ3OTnZ2srMPnH3gddsHAPQiRIt0/8mf+8U/SEn+9l/4K9/8O08//UfNQfSf/ol//49uwfJr5Xnb7NB8h+fyMO25nPaXhWtwTnXe4IgBZMqiFFwNcDR40stT31m2U3o0sDGD1Qtw+71Bm1GhrUFOMF3OUhHMDXh33AZm2oYdX/urTDsY3/Pr7eAeYLeMtR+A3nSq0J/8tXBOt9uA+px9+w5Z5WQOLFzD8z3vODgK2AZCKJVZlx8gbimXGnjdwbuJqh0gB9OBYMBcXvTd9llZgDcW2qAiyBo4GevvpW5k8cwqucFfeWp3y/YG24F0FqwNDHevafCYGosCOJgywCSL7AWcAjggozzplXXy1W6AYCyVH3z1NWBeQBBlNFV/baOd95zjfd+BJEhJjT5BAwuO146HnfxqFzbk7OIrB3BPuSx4AFxvW/bv4G3lFbhQeaiKK2ftA6a3jVzlY/n+4JJ7W8AAcCVYgB258lLC72kHRrm7oOuhfl7rA9wU4EC3YIGOBcq3jjbTxkD/bscO6o+Kdx1XkAE1OfU2EN7n6nu04YL27PjrJ0B55QSlBScMsFt57IH29snCfYIMPvkHc26pjzkzsEunjqcmdJ1WPgEurKh3BwPpAyb9wlKvA/1t33yU4iswgoU9K32uDMDpbmuv33GV6LOAhAH4y8mA20D/7e0joKj/ueYCty1jF30ozBe0YzFN6dr1GFhrXlmo0INI5v1WH2HhXl2Dg21H7cyWfO4BDy451sHR2pJit+eQnmnYHHe/aV69Rhn8/Ncu7ZBN8so7vLsatO9R3S+rfPcv97vK4VkoOOYZqOeZYFptMgr31NKrn3QMAF0OePey2rbjTzqBF/9wyj0W7s98/lBkq2NloabuHLUOkDpq7JVzW8BTZaneAo4o4N1X+i+q73MFmUCCBVgp21lHBwwDXDtAl5e+/5LaUt+homc3TTntXtq9yjnmXDTXw2985QDftTX1d2VQ/7FEf/qlSzs++J3L/T3oGKS/98rsX25xgVss22ubvtfe7ROM73eq40lFkBJ55Z4WrCE/deXp2ZgSnLqeZTwb+ZbJtT7newUQtH31BDTHfntZl8uZPWr4+vF7P32kQ+hYFOUdX9CKfj45tle/r9xtu/8Huh6b95wuYIC9/W4f3zJKdqrvJmpu4Lj/8ezKe9foe/2iZU09/7dNfabfOmbQJsD6w3/2Lx026EHa+h8b+47RcXsHGGv293zqWyr09axgEiSgbGB505zTFcTbVDl87reANiV37yhjex9A/8jFIUBgwljxv/vj0weCvEFkZW+q/pTn1bkc6CnQ+1zd2K63vcAOgTwCsI6gkhUk5H+7/t39sfPZ9ezaB5+bqk/Hr87VkZ09BzApA6qvNAScyeQ8r93re9T77RO4fsNb3vltuciB837re+uydwfQAfHdOYAjBRW6ZTtA35Xmu138YSH/tve+xqa+CUDfVeinlfv5rvaD7IImkPsanjcRP3D4MUbTZ040jUU1/sTG/S7F+V3q82uAvkP1HZzv6vO7FOi3IPo+HvYwBfoOyu/Kg34XSH8su/YNnB/zt/75Q21+QPQbFu1N3at2tfkJzp/8dXROZxucfeDsA2/8l9QGZ2c7O9vZB84+8LrtAz3c7gC9l/UA+N96x3856u5fv3/vNRA9a/drgF5U713W7bdynl+D8z6LCGbX3mBzg7e9FI2SZKnPG6BrUKPPVBw7PAerDQ5RJgDerTeqomWV2YuW3OdAQ8dg5Uwtsluzs6esXJQS4DzAD5bv6nTbU8HIhc7K/VShP/nr4Zwerj6/tm+XZ3q3bWebTi1KZQq+AZRsv0FeinO/7xAOxKYipzDfVejgL0hOdW57wA0AleccKAXSx358Te4LgP+okZcycAaE733xGAAHzqnQ5SudQeZlNcxamtq9qXtOA8lAaQCQQrd7VXXt+KOMXUAhGNJ3Ck/K8u5l2mBUxgv0ApwgLfhJFQxKcgKgLmY7DqIbEK+8lNbatv1VVlB18iAv+2bH6zyxuR7o9eAfTH1t3773PNodt7LrD3sO9MPCeamjBQFQZHdMwBrE3vPLs1M/1OxrO1AcBNC3WOsLLhCsAMo7JkvyylbdAooU560bQBAoAvTqq5M3OVj94h9OO1CWaytAFGTus0AR+eu5KwTI9O3aaj9flMjaENiorOO0ssCz9nUc9t/9FvQe5eyyyhfMoqys4oOKe9BIx5i6LaVi5ag+bTvbrfOpHdjHjwLXeXru64fqWLCGczU54VPwrt/sV/qEaZ/7FzvzUcqv3NwU+f0m5/bkZgag9hzK97905CkGjlo/iFPZAuf18SAhC/eeaWqjUZO/51MHRGchX1nbF7v4Ab25ZKT+XYCm+wl792CQvNTBoQaOO1bPNhTi8nALIJjc6g9+53j+2QNbKu/kBP/9fzLlot4K8AQOKb5Zjo89+Uu/d1iTux85L+2739mrd8+sTuNK8OCSkkLu7gAyeDt53lN4L3A8+bgXKJ00AAukA81N9anJQb8COPqP6L8ouNYzV9s1yU8+iukXf39AZXULGO4W7p1DKQHmf+s3vnLA88q355KuXJ0z/b15117tR91P3S2lwFxz9754UZc/uDiLsFyf6/Sjv3UEBlBod2zwvHLXVlTF/pPYvLevykCJTkU+KvEVqEHZXp9VL/bsAPmhPl9Au/+6cQ356G8ducblfd6hvedcimpBpUC2vNkdv/q3/wHbKcafvuRb59AwLhnrmul/b463LM6B4NpPvxF0QmUtaIKt9lixb0r4ytV53PtBU3A8eOy7/iGvfNuyfPd+wMI9+CyYjmrdNtpk7OXf9dwcWzCAoIPahxX7nvcctL22cqdQB9Ep/7kQqHfnGkxv2QTkLSvy6lIwSWXvmu/7L73vV2bqe8rp6jaBAb/4/jn2BDd0P1rXqwAuKTk8M7nfyJHOrYATRedbEEFlCdLLfR58Hpi86nnY+9c3nr3A8+rJFr759ONfvn/YzHce2kcQfM9tfkDzq/znb3jLO4+85+B2E0v5yjT34gX65bH3nqoeo05/97NTj/04tSW1OeV7x9K2fgugnyr0873sB/29dH8PLZD7hd/+H7+0w/P+a6Xga4yne14Ohd0Puja7LvstcUZjWo+jQt9B+j4Hx/dpz3nuO+X5rkAPmN8F0EH0W8rza4D+qXd8axztUXnPb1m4P44S/aE50q/U5qD5tUX7Cc2f/LVzTmcbnH3g7ANvfAJtcHa8s+OdfeDsA6/bPlBUL4AeyA3oBs+begFp+pX7vzbf//wP/4kDot+C5rfg+S1wvr8QzEvEyktJcd4AbgMt1AYNjogqbjCnAaTJ67mpZ4LX7CX33HcNpsjX2LoN3LBv7UWrfR6Dh89/bQb0fG6Ap0E3OR3lWKfusJyivDL43TI275aNAn0N5AHou5V7L4mnzdWTvy7O6VttsKvPAxCU40FaynP2xAEiEJ2iGTxu4L512h74baIc3tXPO/ymtN0tyCmTqZNB9N3SHUQ/AOPK50x5bB3wE9gwCFxdm1Nytk3fB0h9+AKAB46+99MHQDdo3sDtqMje86lZt20GIn3iAkXanzzorIDZmrM07nhsrAc0rKnBYzmWKecplgcGrpzwcqhXx11drS0FNTQfW+6VL1x+6VHcL0v0ykwVLi+174c6fwEkCuXqGxgF2yiaa7MGzUcBvRSw7OvH5vkz3zhU1PoR+MvRoHJPfRdYd96oUkFufWt3MWifcpPLFQ5Ka5+WdR76TnkvvzNb9MMufVmX1+5BvLY98q1/8gKM5YoH7fcADSC9fU3agBcvzgeCH7R3dRlg+ff+0WG5Xn3qn2CxYIr2pX93TVDmTn9aObL7n2vfzpHrdGx413kX3ECFDmD3vXOkbm0vPcK1Hb1gG1bYglU6ljK4bjkWsMbvmBwE5LWn8HdcinZpCQbYvPR7R59sPUC5fXXMlo1SfamWOTmMpfizF6BZO4GUAmVA8+AfRS97aArr9t0+A7HN5eLsuaZnlaB65aFQFyzTPaB51zdAWn8edfFSXfbs0PF7rgh2GzBu6hpr/WnT1OYLFrMQ79idh9qIOlr/qV2Dgz3vtc/KIJ1Nz2GBNe4SggXaXmCG67a6c9Lo3uQeJDe7YKQB+bXvh748++p3YHQA/aipmQoAACAASURBVApwoMTuO6U2CK0cnttaVttW99q6qee96tp6faZQG8X1so0OlAbsXuMK8OBixS61DwjevLaZcr7vN6dM4PHcj1bAS+vV7mOT/pGLWr51XGOs2+XTphIHlHu2BYVbx348k46auvI/+/L0yepXe7ev5vWPUe6ngr13sfTnvFSbU6S3TwFcHWvyzZfqYSm6qx/bbxbo/ebYh9K2ci1LdMGl8nk39ZwcbBQkMBbtSyW+X2cCV7TN5L1f7Quq91vnmW1728iXvpdb/m8q/Nqtsnj+rt08j1eHgHEAnQK9uXzg/s+bg+jtu+uivlPbBkmzcE+FHoRmBU8d7r1hVNZLRT/lqd0C/EsxDZLPtb7U2DtAB2/Bd4CdUr25QN5rxbl29V7lOO0TQG8K4lbv3rd6/wvuBn1ToIPnzqdzMdfoFoAIogtGnvvNb3xlrr9xCdvehQQn9Y4FKteebNw7pven6iONDjeB63n9jy2/8nae5DFvWd8FBuwAXZ7y5gPO3/qOw3a9dvI+t1vlO69SDXRssL2pYwHnFO2ONSr7tf9rBXrLQPRThX6+l/2gvZeCsLsL2qE+3+C5dDNNfXef40bRddo9p+cwEJ0K/ToPer8H0h+mQjcB59fwfAfrIPo1OH8cC/drcO77w9TndynPb8HzWzD95rTU5rPuFTg/ofmTv07O6WyDsw+cfeCN32Nt8MQLcE5nG5x94OwD320FevA2gN5gyX/1zN8dYN7gSQOqDc6mRm9qeRD9T/0b/9rkSQ+kX8P0a3h+bT3V1L52cA6ey2NFNS4PY2WoXL0Mtc6oTVa0fy9JbPwMxFCztH0vU80bvGm9XQkxtuz3L9Z/9svetOM3CNLgRwM7ppaPQmhZtlO3K4uy79bulOq7Or31/ouPf+V/pkIPoveS2MviGbl7XvPfC/d9AxcGLdhqg9K7bTtFd59BE2ok1tuBrwY/5Z2evNXLLlvuaYA5IAYqApbgORDXsUF0qnJAnQ28QdzWZ82+W8LvoF8u8Mkn+4nfmfUpbUF01s8N7nePaWowXu5zKvRDWfbBLwwAkDed5XHt1GCPXMdHPuGl5Bpw+ZlvzP2Q0nNyFS8r2gHuWZivwADlBJr3oARAVy7voLDgAaB21l2W4eztA2YU/dqKPTwQzJqbjXHrV7exyl5qxxlAf+HSH2qPAbHLUjq41D6UHRh17Nn/qge7dap3fYh62+B9vwm4qAzydlfvsVBeIKtlQU77FDRQGzkfYCulc8sdf3K7rjakNJf3e5Y7j6t/BSr7b1Eu1uMtB+GdBzCfApuNudzmgT7rVAftIDBFcETbVmbXWf2a8hvsFUygXgJPqk8wqn00CQDpPDgG14DqIrhBEIvP1Ih9rm/YboI7Pvyl2Y7iVn3ltK5dxhp4tY3rnwW+QA4OFu4XXWsDdD95uYbVDZzvt/a/W6+3n6CQ7z07dA7rszs8p5ycPOjr8+SNXnnA7btruXsUgF4byftcu7cvFuGVq2cQ+bmpaVkvH1bB7/vNeRbqmannp6aepXr26PxIVdB9Q1uBWCCr6y5gGmitDUZx/77fnIHnzo3AqJ5ZUtbWBq1fe0zbrHNVX+RkMGkqym+8lOECYzpWx2Xd7P41yu2s2lMZL1UxO+e2HUh6/9WLAvr+qwfknXvph758QObOuVz1te0O0KfNyjX/wiXwaZwGVr712jVISl0MoHduQL/OSf2gNmz76tN5B6IHolf+D335EiizUla0bW0r0Elwzzgh9Cz6/AXIg8ljYf7i788zKkv0tmt7OaMpbkchvuU1B2PHvnxZoQPdYH37bPv66SjzC2j42EU5XNk4Kyg3SD+Qeim5p91WsIg86X3uHEyw6rJRb93+/4LOo9L/5fvfgrYLWFNd1/eqU20yAQNbYAqbfH2GRbvf2fDLGz6BAatNKOnHLWBBa6AfYBlr7a7rd398ALX83+a9Dwmu6L+9895Uf+p767StQFkK9JazDa/+LL/HGWtZlQuKEUwLngPoLZPvvHVA394j7E9e8D0nt6nyTDDxsonnIqDtBBy0Dlt29u0U6IHeUnkFs4O82bi3XnVTBikB6gsC8dzv60vSgExw3oPlRLGCkiZlwRZo3HE6tncuOc/lGdfHOh7HsPqUfjl9Zl0XLOCB+EA2SN35Ac/ZuFfXNyxb98NufeVB77Pc5+2r88elQT/1Tgisdw6C9U3X9u3HtMojD/quQHf8U4X+5N+DzunJtMGj4HnXP5cj8Lz/rv7Huq/1DNRyYzY9E/S8VPBhY1NB6sD2NUQH0m9B87sU6NffHwXPH6Y+p0C/Zef+OKrzW/Nvs2O/kd/8Zr7zBc1vgfPGD0+1+Xl/OO+PZx84+8DZB9541QZnpzg7xdkHzj7wulegB9Df8/Ev/YMGjEDzYHkDtRROY+/521+ZAZXd0n2H6NfwfM/F1AvADs6bDCyza28QpsGUytAytujNG2BrasCEyrzfGgykIgfCmzdYMyD8w1+Y9VrW1L5ncHkB9fYH8LBwbz2Ry9TkgHoDI21XOVuv7QBxygrrG/jZVeiUOtUJQL+lQn/SfeOczjbY7dvBcHbMbHIBU+pgkBm0o1Bm20yNOKDxua8PhAkUyD0Lzoxd9QJlVI1HTuVlUy6XdQMoFPCVBTCiUB4IvFSqcqSzjlfe6xzgY8m8FO+AUJBuAN+CGg0CH2qy93zqUKGzWKXY6/exOF71BvMpQ6kA5YhuvSBfbVbdOt7kQP/IK3M8dsnd44DYzg8FLlW0wIPKHZSsjQU5tN5YYy/FeQPdlrFh13bOuzzVLPgBbDCV1flh/b4UzZWBmnwUzs99fc759JFVBypvOdWpxzuX7a/9VmdBFGzCqc3ZJ8ujTe3ddtS2gLzADNbPrT9BGAt4q3PfByKv3PV9pkQfWL+U2f3WfsBxbQ96sySXr5s1ests377lE6dCb13W76z1D5v6575+BB9U5rFWXnnQ9Xvt6ny2/hEosNTnrdM5DxzKaT/K+AX9219141oAngs6kDOdxXefBdM4z7Una3ZQt/7KYh/EZzcu2AOsd66lINCmAmWA8sNyfl3DwP/udsH+m5OEvN6U6Oy0a8+eHaiAWQY3D9btMI3VNDv3scL/9X843wUZNQHSXfNs3msHrgdtxx68ac+BLiVNIKiB4tnnb18Gepv3vBGwrF92P7FfKWoEd/S8Up0mqOg3vnIAyere9j3HdFzlLpAyKBikrG6ua+fLfQ2gb9/Oz57bncqeRbdnrbnmsi4vUGMpjQUQuHd23Nql/QsSGHXyh758UVw//7X53vmoPD1XNk2A5Mq9zRK/bTgNVN/u2T/183/9gOj1A9epwIa+s4GvLJ27jgVYV3b3tfoj9X313ZXhtYlc6j3DNq9+LLDlpe98VGbpBQRSsFWvD8lBzc7af4P2naCRYPamdpcvnVK736oDhXv78b8EwOv/tRebeGr5yte5OhTvC7pXNrm8+x+khlYvQQ3ts+O0rH4pELblgl475ljSP7is2/G0E2jevvtMsc4SvuslgA12UvALSAmCs/itnMA5iN77UL/XN1zvncfgbOe866Lro+uxZ/3/7Z/8dwait+1Yc7/ruUOB3gRct7zy7bB7VzRPrvl3f+Swfu+dAUAHhuU+r9ws8vu+v7NIM3VY4Nf+z1xctbjjOFblTTn/hpX/O3gbMGcvnp196vrKsavqO0bngmODIDb/u/XDcZtZAVKCTbovjIPCcgVof56bKk/g2zGo1aefPbj0w7kXLGcK9wkOHe2z/QDoWbcD2dT2O9g+YPqb3z713W3bW692B8/lnxdUQn0uoJuTgPznOyQfpfub334cp+NOPvm3vXeOX9tXtl0Jr4y7Ch28Ot/Rzne012sfqH9f5z2/tm4X4MZNsM/9D0ld0T3WcqKJa4gevL62cr9l4X4N0K8V57fmdwH0HZw/LP/5dwrPHwek72Nyd4H03ar9Or/5teL8SfeTczrb4OwDZx84+8Cbvufa4IkX4JzONjj7wNkH/mXkltoB+pFL6n2/MhA94GywlgVWudH/5B//Y0d+9CzeTQH1Q31+/94f7WrzeXn5/X8yLzoB5/ZNdQ4sOzbFeQMzk7vy+a8eqorWldexF6Xm+0sU4N7yBnnA7uajiEpRutbxcjU5Oz/6W1MGihvQuwERKpL20TrN5RNsYGfPw06JfgD0D3xLZWIgaIfotb9c6KcK/bzmvxfuDbt9+w7Pg7qs2kFs8Dy4wU4c9GqwswFnMB3kG6XoGlBt8Bs4A6DkagYP7c/kuJWDGh1MB9hZbQfXlRGID8C1jAKeWnvU1csSu+0bsKdsrqyCACpzA/dj174Gbfc86C1jozpAbFmut33lrG7uV4A9xfPk2c4l47/7fx1KWZCkfVm39pygoZXXm9p+zwMv9zs4fVitB2rXb03tgwuAifI6EEmZTKVOlb/nuqdGp2aX83u36aaYly+5uvcZRAdA2cpT0Tbg3/9Ay5rkPd5dBABYNu1ScgCu1YHy+xjUX/s4rOE/+a38rfojlbgggtbbFdWANut4Cndlqq3ZmMvVbTmwy958z/8NvKsjlTwwPhCf6v3BVy+23+z1VwCKulK7s0SfdAoBu5XzXvCK4AkBHbv63bVbO3ZdTbuUO/zB78w1Jqe5+4XgFRb0LQPFAXjW7V0TAEz7FZyhTHLQ+53DRPt2reorFP2CNNq3gJ36kWALwQTNu8b8RtlLbdu1LF9v8AlEBaIm5/IHv3DkkpfPec+BHujpmaHnG/nPazvXa98dt32CRgG9ylFbte3k51772VXoAhGDSgIwWsbyXkqKjjmA64WvzTGpt4N7lVVQoiDGoOCAuA99+Wi36b8FEmXXnovPul7ar0kKigl8ePAtS/YBtr/6ual336n8BSaByZ73BpC//3NznDn3S9Vde7ov19bVofMNoNfmPRN2/uoTLNgrD6Be2/ZcFmjtnAyUvf/qa1wWAMB3rLKNrf4CwBxDahtW7wIN6oNgr+dN9vUt3/vMBFAsGM/WfJT9H7vYnLO1b7vWA8UHZj+4WLBPapF7Xzzyi3csOcz3PONs6O2v7dnHSzVSuw8wf+YCJcfyfSnaqZlrq9pth/Ps1OXwntQHy8bd/6AUJH2uzSqXHOq1dceq349q/kNfnmMOuE9dvHKiW659KqM2cd1Ir9Ln9lmdtFnP4eB5U/A2eMnCPThev+/7pJN632/O+ev9qGuv96ICL/reNRek/aEf+5nZjtV5kzzmngcGoi8Fc/eOjjuQPMj/y/ePYAPvCn1uP61HBb3D80Ary3CK9fYliLe6zfcVjMPOvbYTDNy+AfTDfv4t75z6Dex923vnc+3Rcnm/2Zd3zjqPu9PFBOsswNX73ajf17PeuF3Uh+69ctxH5X3n3lPdtZP85vWB6avLpaHt6zftz7mm8N/biiV6IDyo/RqgveU+Z6UOrrf+Ds87P4KhJwBl9R3vpBzIBACA8O33sIp/89u/zTa+NnV86n/LgPSffvN//r/85bf/334viP7Wdz79l4NYJ8A63xNfr++eOzyX9/yFV/+nf7qrzz3fHEC9MZwViNW9WgBRz0n93v2DKr1npgQdgeQdopvusm+/pT4Hyq+XBc5ND7Nuv6U83+fX+c8fB5rfymVuPZ9v5T7fc5wHzU9w/uSvh3M62+DsA2cfeOP3WRs88QKc09kGZx84+8B3+0VFhG8DANTfDTz2uYGhXuD73CCtwUnKpwB5U4r11Ol9Btt3aE5x3uCvHIkNZhkIbur4IHSDWL0IVY5eihow6TsluUG/ljcIaLCmF6eWWa+JPeXkM/7Elw4F+uxz5RZuPdC7QZEGrhpYamoQg8qDIp66B8Rv2wbV2LmbDLg0WGWAy4CQ+oLoqdAbHDlV6Oc1/72Qe263bwfPr/OeA6e7mpsCvYFVSlT5jk2BD7mGKUDByoBPczl9rRu4oWwCuNs/5Tlg3LxJWZQPVDbQq/zdF+QNb+CX/Wj3h0CKfNvti8JylMZLkdpg6sC0d13ypHbPaCC4e9wo7xZoCUhQh3a8ytF9AJiwb2C534GbsbtdFsejGF25sVnUB2vAqoHOC5zKpT4q4QV/9/zw6kXZDNQ2H1XuyuPNIl+Qg32zxQbVbV877hbbbP9BeSpW55T1MYDKih5g7rvACjbyIKrzAewdue1XPwP4Wb0rz6hjP3lRmlYuMLXjyfncvPXkUtf/9D2OCPbBUWHPE965AXqrj/O1py7gqgAcg93OBXAM0E4qgQffynU+fTpgtmB+6zmn46Bw/2I/Daa2nuANKuxARMcMgI919YKAVNv1XUEYFPr1a7mvuT5M/vPl+NB9Qv9zD9EX5eTuc/tm0c4OXC74CaJZtvide+C79p1ghXWuHWdyTi+7fDBnV693PUrLUFmpIal3WycQM4Ex7/nUAWe7xqsrNaq8yGBQMKdgFxCya1YO9Nqz33tWaBlL6PbX/av6U2FTSXdfCcSk/KRu3weApb+5njqeXN+uoeoJnnd+u9/ULupSuatzz22Vseevtq+ddoDO9l9gCneOJqkPXDPU2LtbRu28A9+WybGtjlTn1Nnstyd1z0qbAYqD+K0/lv/Pvjx9TpuPS9HzlwCKsRr/9D+6wNZP/O6R3136jWBpEL3+daQOWdfWpMi4f/k/GNhbgMQqLweCcfFYQZVzTaw0Fazn5zl2/W8A0QN1n730O/b+IHwTUEhp3jHY+9cm1W+s4AtueHBRgdcvgwVj0f/g8t8DkIPQ9sUWff57PnZRzO95s+ULnxz1S909aQaevuyr51mBH5Mb/NmXL/D3vd9Sesv1Pf9jKy/7pPK498V5Dq+cfVZvNt/+7yrX2HevwJR+r89Wn/r5sd9U5su6XYBt281z/YKvQLsA2epSOXs2D1yycg9mFlAcvK5eHK46Xu8qnvcrf997PyoHOsjMicYzQZM24ULVb52rgb5PffaA+vsk/zmA3joU4HJ7e6+gWm//6tx+vasIeqiPTeqY5ZYlH3j1p0IfK/E3v30CmbsHBdALDuhdsO/ObfWYgJ0Hl5QEAiYFO7ZMuizvcZ0XjgRNfeZUUFmqt/7EeUCfcD47F2PfvlI/SGPQVJ1AbPCcgp8aXT33fON7HvQdnk++9y0FV/PKLcUBiC5gmn07gA6WH+r2lVedPTxFPKV/ZVNmED2Angr9p/7iX/37pwr9fD98PY8LNiZF2AGe78pzsLx7SvfjQPo+tmPMSKqafh/hx3//lbkPdk+iRN/zoV9D9F2BvkPz65znwXIQfZ8C5w9ToN/Ke/4oBfrjWrjvoHyff1ve85Xf3PJxkFzK8xTnBeqcivMnf02c09kGZx84+8Abv4/a4IkX4JzONjj7wNkHvpt9QKRv8BZA7wWkQdpAeN970c/OD0Sf31ZuzyaA3KDuvuzapr0XHIqf5g1SGYBiU2qgpHL08mPgpWVtT1V+wPMXvnbJFbwGKxtgAckNkO250A8L95WHspevUWostbgBGAMoBqdYFtZObOOBfbB8z4XO0o/1HzvF1m8/BoOaWLmfKvTzev9eC6wJjIHngWqW7cEsds3UogGCIAMrYxAzOAcKUHw20NpgPkAXAGERbB1wlYKxz+2/bQFz8JwFu1zIvlP9UgzL19y1D5C3P3lvDfy2vN8HHAcGl3JzFIlLFTjWtcuSVtCNXOgG0ClVBfrIDRrUGXvWv/HRS+7XZ1+e4+w20PLiyr8M2LNx755KIV6ZK9+RN3zLG09x3jrU4HLRU42z5aY+7lywhtd+LMPlQ5czeLdgr8yT4/oz3xiQJA+qQXbuA9aXM1VfocbeAXoAkH0zdTZb8Lbpt8CgnOaCBF4D9hfUrW3Z1es/3c8pqjkX6Jes4CmlAX4W7tIMcEmYnOkrpzUVeZAUWB5gtIIQAGSwG7Bz7selYbNuH9v3FZxA6d5yTi3K1jbjxLKs3IFGOcD733I9dqxpt+e/djgggMus8Jvqt4Bz5a4t+88deLfK7nxQIVOOC3rp/O+BF7uCnXpf4AIrbH1Xf2bL3mcBHZWr7bqmXPuVWQBAc5bmziPQ23XX9QQKynMe3Oqz72A64NmcOre2lhJgnAFy2/g7zx/W7R27/Y2bz+//k8MSXUqApvoFuBgw6nkoaNXzV+e233r+ugucX089V01qiM7LyjE9udnvv3rYYatf5e7+1fmk3Op66LfyIld2/QBAr5+2nwm02e7ZHBvsF6wVJND3UaMv8DyBSAHEBRJb3vmg+Ge53rpzLtY56PiUrXLKVx6BG9UnkNk6Hbv+1b04SC4AgtqYhXv70Ddqt9qg/XH5mJzH91+dsrKcr05s1kdhvlwiusY4GshpLmc8CN92FLSdDyrq2qA2nv+mZWPe+WehTkUsR3jb9RxZH+3ZelS+Wap/5JITunPqObfPlYETABg9+3j+axcb9adf+paid/vPmWCw9ZmaWj5zkF2u7bHUXkrigetPv3RR0N+7lHn6+zOfn+uFOr726bwJUBBwAdJyjOr35p2XQGoTOC5v+AQHfejFOb66djxwue+jcn7/84e1NxV6wLh3k8kF/p5PvSaAd57rP/DpAe1d45Nn932/8hoL97brPIDgo6peQTm7NfnY8S/wS63ue58r3577fAfqTe0L3KVan1QPC9Kz92f3Xzu6Btt35U9ZzTq8ax1U7p0PcGbhHtxl4y6NQFP9ibuIoDyBNZ3fPT2W9zPvR/KdK4tzM/1ouzdUdoEgXMBap3IA2KzTm9duu/q89lMfwQK7TTrXALB9D3rmIla5uJD4TuVv/epEgQ6c7yp0SnTLtT3orswtY/NOhR5Ef8tf/+VfLdD6tHE/3xVfj++ewXPuZzs85zDoc/eQ7vvGdYgxrgF69zljVv0/dI8yfjVgfUFpEB0kv1ae32Xhvlu1fye5zx/Xut38lvr8lkX7rja/VpzfsmrfLdwB9O4xUkWcThdP/ro4p7MNzj5w9oE3fh+1wRMvwDmdbXD2gbMPfDf7QA/IXlayEadA36fJsfm+X5mX/gaVRPl6kaFMB9d7cfGiA1i336Y9z/oMlqxBjwaG2PVRT+35q0QYs2zv82HbtaDU5CP/8MUWcs+V3uBLgxzAeQNKFLIG2eTZo0ZpAMRAjAEUCoNewijPDQi1/34fy9Fl0W6/+0BMx2jbyrHbve+50E+LvvOa/17Kfw6g7/nOQR826JaB6AECStGuNQB9zz3cQCtQzMY7GEJxTtkqt3YD7/LYUj+ykJfruylYGUxjcQ20BtfA9tah0qaIpuBmXc0mG2gE/IMAFJTguNybXedj2fqL7z9U6JRmY2u/AgHkt+1+0D2E2g6kkie0tp+8y8suPghBsd/xKytw2/7A7spO7Q0Ig5v9TqG/Wy9Tq1Nb+40ter818FRfAGlbr/I6JpVv62ivAeHrfHdvruwsxeXrBlPZoDtv7M4BVLB8B9hs/gU+UIbL7856HVzWNv0mYGJU4+t37dJvADI1/qg9F9B2TfS/s+dxbxt25ezF2bRTKoO82gtIp2JvG+1MPV1dp69T2C9Hgeo/qQGWup1rgPzkbUNhL0Cg8gULqxs7eUC3fQ7sX8EottUvWqf6SK0iwEBQCqW7/dS26iAFAGcJqnR56zkv9N8up7z9qaO88c31JfeIrv+u8QHQK6+8oIb6oBQNA9Xl4l0AtnKylqYI7vrunHWNN3Udy71M/Qh4ave5fp99efoyt46O0b5GubjUx7V3zzXdlyaw5MFF5QpgdqyAXErX2q1nq8eF56b2V1lrz45XPbldDBi9/+rcW3qmqe6Tm/2X/pvD2r/1AzwBZu0l/3jPMe2HKwJgNv1/DV5PnbYc4tNey8ZZzvfKJUCBZfvYoC/I75rpnAhmqF8C8P1eYEC/td/aqTbvGSvI1jMd2M41oHnnI1gadGwZgF79XFP1b0r+ya/66/9wylG92e1X1q6nfh8L8geXALKeZSvfBEStMnJAaP+j5F71CxK2L9bpfW9fbNY7H7WlHOkDxpcNu/M31vJLFcxi3rq1RcfpuZnTQc+d4zrx4S/N8nGMWVB64Oi9V6aN+o8ad4kHX72omleAR/XbFd0D/1cgWOUf9fqyST/ysAfg7796AbupwFce7J6DAXM5zdnOq3/P1PWr9tXn+l9lnJy3H74o2v//7N1f6HXZfd/3y0IvAoUQkuaicUjruiQhdh0yODE4pHhCML5IKhHfpIpTqyCT1K6iIWqkYSbKRMzUw2jQoz5ixONYo5E1jFRVYphQjSKEBXY0lYOl1oXelEKSQm56VeilVN7fs15b6zn+Pfpj1/PTI++LzTlnn73XXnvttdZea32+n8/nF56+BGHwea9My2d5afxNYarjO2+A2vfcOZjnJNz7/md/4m/M78qg/8dDfQXZBsYWeFH9qrwoRdRe28/PGyiOsS3IoP+qd8M6X/0Kn/IdQMc4L71A3R08r11ibjfeAJ4D47uewIKeXel7Vm2l3+/S7XygsiCCQPMBfH/uvfM9iXrs6GGKl99nLtLqJJUrCwEolEOosrAkMG8CmO/y6H1imO+WA9QeJohxBVObQ/VsnV9aAHCf+4aVTq5+/N7XPfa/wMc2z0vgNEWG6p6AkKkT77vIxrt+dSMwHGge+P3I8pa/9lsHstvkg7S7PAL2yzsW+injfs4Tv99Uz3bwnPrZzjy/BtKHCHH31fv+H9LFmrP2Wd9U+7Qu1Xva2tbuhx5IfQ2i76zzB0m374D5zjrv80He59fs8wdJuX+n7PP+29nn1wD6fXLui3Xep/8Dzv/6D/+Jb/y1H/8L33jLX/0r08f86J/7cz93Aui33zbO7SyDsw6cdeDRh6wMbj0D53aWwVkHzjrw+1kHGiDvPugtXOx+59jk7WvSHyuhhYLdv7wJzT6pIZtOpjzAHJu9xeC8p/psYYiMIilAk5zSmwXLD12uw9OqxZOOCRzgedyEqcU/wHTHt/gy0u3/+N5MnjqXjzrp9hZqAN6AfL55LbT4ZP4+SQAAIABJREFU3mII+b4WqUY68wOfOdjjpdeCkcU4gQCY6AIEWtjqeiTcgfJtAPS3Pfbsa7HQRf+e7f9s/7ftfw6Ea6u9YTTb18bfOrAqoAD4jJ0ITG/BfuS3l1TxDqTz2MUWHgnbxeasfQNW9s9hpS0AFjgMXCTpHIBT299l54GbJOjLH8DtAHAXqF5+R5Y08HuxoPpO2nn3fa2dY4m1EO/3LGgvL1ogOr/4+jqAAbCv8qByESDXYjXQrbzsUt79Hmbfkk2mCgA43oFWbGwA864cQN7ewnd5BGBjVfOM50tNQtx1sIGxMDFsAabk8IHEA8Q/9/oBkvIn75qk6EunNLGgO0f5eX7z3O9emPBUA/h9d656dEjIrzIBqAvcAJpjdgsQqE53DzsbGuN5QOtVbzG53VvHjC3Bx79yMHorS+mQNCfXrlyVNTC5PKjH5O93CX/PFGgNuCt/XUdZCIYAhrNMEJRBmn7yszzFqQkoR9L8AO7ulyoBFr/7mUCEX714tAta4aWOxd7+jh9m9Avf9LccsGzVJ8+547RX+7AdK9euM37ndy+WDwIehvHfGGI9I/WHhcQE5b345QHLho2+wLze2X3H5O17IMsEzCzgq/09D+zr0lf+jZ+6F31FY4fyN2zkZ1+be3CvjX8wM/kyB+LVZqoD3y14zj6n8cX0Xwvgx4A+PMyXnzhwvfFJ5VB9aZE5UCdQjTKGAKC2ATeXSoMggM5TZ9o3ftyvvHGAveNn/sKvfRM8XkB45dmxxoRY3XzJAWldQzBAz4o6SG20sRfvc2NBYHDn1yfbenYBpY0Pd2B9+rqXv3osvlNC6rlRqhCAgNGPLU7FofsAeh92PyuAZhj4dy6sueqRBf6+N4YdIPgDl3fBBI7F0l4MaIzsAdOzCVjBVexEGp8KkOg48vjtEyQxAR5PvTLXwCJW1iP7fu/yXA91hcaqiwVfPju3fHa/1ekJLnnXpR2UT4Ax32+gNfYuv3RBCDu43vHDxs8ffgHAvN1LW3BAZQoAr64oswkiWMz48kDOnix4+yojLPXJ0wJdA74Djm39HuBy1YvdW7xP6lkA4QDmAPRY3NWvuZfHPnxhlff+XsENQHLS7tQQOmb3je88QHz5INm+jzGw2/1PMh+A3rMd0HwFXFR2PWNBCvzWAbblPdB2Agl+4m/M1u/2FyBQe6n/mzLr+S5lnZFqf+WNwwZnLAteeWPaiv7Be2lsBJZ0uyACjHxzKnNLFgbllUpI9aE6ecimv++lmUuWTvM1nvHtA5w3hyPPjt3d/XZvqQ30W/nyYefxrp5gnNduay/UDgDt2O+jQlQeFoDuWm2+A9aB6LzOge37tjPR2/JCP1no57zw+2m+ua9DAc+vfc+tM2GX7+tNSBf7f2z9encL3Gk8M2qFr7wx+/f1rUDlAGsg+s4yv5ZtvwbQd6/zm5jngebJxfvcAfSbWOj2fafS7TsjfZds3xnnT//Nv/RN8Hxjpf/tv/Qff+NP/rE/PNuf/oE//o2f+JE/8/Uf/aH/6H/94R/6wX96rkPdfvs4t7MMzjpw1oFHH7IyuPUMnNtZBmcdOOvAmynXbDICRG+C0aSjhaIWjJIpbPIPGG+/xQ5e5u23EAw879wWGPqN1c3H3AIrFjmP8wGm14JKC2b9x+/KhIqnMFn0PltUIe3Vgkf7Oq6FHRKAAHPyh5gDLYDwzwOeYzfw7GtRyqKZBb4W56TbQg4p936XXosqLRjxYtzlIC3I/e1/8Oy/CUS3OHIyDM62f5u2DjcB6JizvMcxwAMssYEBkB0HpBlANkBhgaeBDiPxvkBPoAtgnNx0ABygDku4Y4aJnHTu8tvEHsYEBgRiIQD8MebJfAN+d7n5PslHj4/1s68dgNEwI5f8NKZq+/mb7gvfLaJbjJ3F4iWHC1jpfivD+rIBlp66SLgrv52BXD9mEXoYqs+8eh+ILigA8IoZDCTtHgUBYE/v3vWA9IOR/+KFFTws8gVeA0+BrwBNfuQ7mEvGdfcEJ+u9B00AjPvds+GZSnJ7D84QNFX6mMjluTKMdey4Ybav4ICOIR0PLAfCChToGgDqvmPzY62XZvcyqgO/fJGuJz1ffrD3ex48sI98rOCRjp328Mv/8niOmOqH5P7LX53v3Xf34jkCrwV9yJMydx3WBKTdu+fyh93tntWLriNopWck2GGAjiXVrh6Su8eAr3yk13HaJp930ukj3b6CW0jWC2ZoI0ffNQR+8FbHOFe/ycRrfwXE8D8nOa/MypvAuu4XK5JKQm0N4B0wUz53JjPAewCpFbxSGyQLLvhvGOkY2ct/XvuonTZ+Ku3Kp2Nr642nGptUL7E2J3DkVz5/uec13gm0alzQcyydHRTvs3FVwYjfiZR799IznL5jeWBjA0/g350vzjHlJQA6NrYxVuOTgLOdOV4f1rMQ5FRZ1j7da2VeeXZM59VXC5pq/ARUA+ZPus9eJMkHBF2y75V3//UMOm48nDdVk54XG4nKt/MFVXZf9b8BffNsf+G/n2fH67yt+wooJetOdh6DrWfcfVV32gcs3D3vWSSQIB+lB8EJdxYA+NRlrNtz5etduu63YwLqyKz3u3rO87zxIhb5vPcWAN85o7C00umz+wC4k+0G4lZG5NaPd9aq3333/i2v5bl8DuO24K/k65dkd989TzYlPZsZA3/gM1Pu7d9Z1wezfPmgj3/8k4txv96lu+rAAKQfuASNAe3J5FdOxvgD9C/JeJLpAzq/44OHJDp2P5UpbHRzgIBUDPS2vgduPvLWd07dAMR3vgCXn33smYOBXjvlgQ5kBsJSpxnW+Qq82QF0wQZAcbLuQHhKNpjoga3XMu7GHM7vdxtFgAn4WM9sAiZeuIDo1ceOxz4HoHffBUtXBoG3MdCB6fI1IP2yCahNzDhvvTtZNjQPnD5t9enzzN9/CdwQeFiZAs8rz+ZF5pB9F6yony0d9WyCJZ78xDwfzxwQ3vzNZ/O57olcekC1QAGsevWGOoC6W70prz3z6pt2JoiaVUHXwHwHoHdNn4Bw3/usXAdoX881MN1/5RWw3nfpJuP+kz/zd188vdDP+eH3o+f5Dp7vxAzjJOpE1oF6Dx7rRvcuQaCUCQ+W+r2LRU19CjvBjil9IHrAdkzsgOuA7puA9B1A31nnN0m138Q8f5D3edf+dgz0m1jn177nD2Sfb6xzAPrf/as/MoD5H/p3/50DPO/zz//Qn/rGn/r3/+j//cM/+B9+/sd+7McfPdehbr+NnNtZBmcdOOvAow9RGdx6Bs7tLIOzDpx14M0A0HfADBgOQI8tnoR7+7AS9sWOPnlPAc0DzFsUmEWrxy7ygy04AMf7bDKEYWdCI5K4hQrs8Fks+6dfPsAVEcZ8PfkbHuB0k6jFgm9xA1MKI36XZW8jsQ5MbxFjl3Dv/jERWgAD1I+c5pLRLE87K8IieJ+lS6J+90w/2PILQO9agegnC/1s898rATU7gE4K3BZwCaQGHgEpgXpk3S2qYiwDGYCNI/G8mNmBEFi8QHR+5Ad4/sIFsAnIcezudY3ZCYAESrYfYIlJXT5JkJc+6fKuQZK4vAKGAf+7nyiAHLut9t5CM090Mu/YlxaSy3v9QP1I4M34hS9gkQw+j/b+77q8dUncK1PnAnaB0wFc2O6H7/m6f+UL9OODjj0OrAZiBlQLVsASr2wDnfTnGO1z7LoO4FhgBMbzIfW62P6AckEauyQ/32tS5p4nz2PqAgB9APwETy3A3b11DSxmoK/gA/UO+x4jfGfNt1XGHS+YoHR793Sf8gVkpowgHb7nJPblj1e4/OxBCgIdKo/dr96zEgAgCMA9BCyTdh9Ac3mxC5aQJ8Ea/OoBeBjn3Uf33LtXoAQ1hNqBfRjoww5eASrq4K4mUT4D90n+d92eVecKuun5j3z0UpQAoJOE71iBHf1f3pRnz7hnIRjGfY+M9d0LqN5/wHUS4JjNtVXKEJjmvd+1dXLiATu1Z/6/5REI2/ipull+O14wYqBc5YFVRWUncKZxQ2OGQKrAosYy1+D59Xe/A9Sv9zeOG5/rexffcgD4EdxUn/LiRQWjsqkdB0qND/jHvzLjlkBmcvaBR/3Xc2vTDzXGIoM/Cgkxh1e9EsRTWfF6H/D++QsQPcDuYlPPf8tHG6BKLn1At6XUQXofiA4Ar7yrp/W9AWT86rsG0ByA3tbYL5By94NnBdFW383uYIKZAspj0RZ8slRJev59lv/6g+pPvwN5Bal0L/p95dSzr9zUtfLpHnmOj/fzYoEDQMtf9aJzsbsFHvS+weDveGzynek8bP6nXj3eSR0vQGHSe/4CXA7r/alXDkn96rjAkY4HzvNMNx4ncR2zeGfx8oun2jTKKUtqnbe7QNVdhr1yBJayYSJH3n0BO4HNO7PbfxjFnWPeIrg1gHIH0NuaxzQH6PvMD8rje+5MmXSN2kTgbPfTO795USB6+wHoZOzn/b/Y6KwEHNPmNwupg1n+jg/OOAKruq1ryjfWOXAdAx3ATRmgZ1IZqIPy3LwjkLb0A89/8K/8FweA3vc8w5u/9Z0HevmUVwEO1UfBXKw4etaCcOrz1FMWFbzZyzMwHcNbgLJA6mnvyzKDIoE+giS+YBmAedtIqSe/vzzRAeiB1oHX3TNguvNZbdnUX3Wta02wzNW99Dwqp64JoG8eiWm+f1a2QPLY77zQr8+RLwx1nu55oe8s9ACuc53onDM+rHPNHTzneQ4831nnlHqA6PUP1o3Yp7Q17qIac6wtreC3+pj6IuMw3xszAdHf89M/OuA0EH0H0r8b8PzbAefXoPm3km6/BtC/FWh+EyN9Z6D3iXX+R/+9P3Swz3cWegB6LPRk3E8W+u23lXM7y+CsA2cdePQhKoNbz8C5nWVw1oGzDvx+1wHeU2TcMcpbYGrxtUlGCxEtKDW5j4XewkoLHQBhUuQtKLQo08R/XwgDFvcpYrjNb/8Dvy2QmCQ1MQK2YyZgpmL28Ebn1TgL0EueUr7I8LUwMv5277swxEd6/Yl79wHnmOel7VysGAu/LRJhzlv8w5qvvPrs3BbP+t+iUGVVuljoLY6UDyz0ay/0trMvOPuCN7MvAKDvnudANx7NLVIAyclHD+t3SWB3bovuAHagC1AFuMDbnP/sLgPsnPoEiyRdbxbjF6u6RVzsJ+fvYKK8A1kBh2TPB8BbgGNpYzWWp4ATDOpADYBb1517WKBH286AIxVsIRzTr3wHwABZADQt+Ctb1wK09B2bEMOzMsP+7B7Jo9dHBiCR0ea/7Z4P5v0C+0hiY3RjAe+e0wBZLH6gqwCKATRXekD747kv72vyzvOcSnPtx77G9CbNDUgOMMZoBpB3T9jauyR/vzHM3afPXX6cNLx7ch+CJBxDwpw3PFZ7x6lfQMm+A4rLB8B4JMxX3ecz7t4OWfYFNAOGPavusc05XYv8vn2eB19yahCBGgBzrHTlQh1gl5Anl96zBwaT/uYlT5Z7DywYRn3t+MVL3g4f8OdeP56FYAf+lOrlrpAgCIbfe2l0fPsFJQhUcF+7EoK6gN3PB17gjj4Iw1a6w/Bf/t7DOn//Z6YttpEND+DCcO5zB8+H2b78rvsN1K0dBqDH6K5udB6P6dKuPyPd3jhgvNQf/+iMa/qvviQQp/HXg0DzawA9Vvr1MeWh8UXXrdzqS6qHbd3PBC2tcdJ+XwDjAggDBcuPwALKF6wjqBVMUNGSx+//2sME9qygDGz08WR+10cOYE85V5aj8rNAdLLjQPA+ywOGevv6Dfzu2Mq7RfHqw8imP/3pecbltX55B88D2xpPYhlTH+j5eReQne+5stDo+qSkS7f7oizCsxtLnffzBFwuD2eeztWH7hmIGAjNl3zGk8+8OuPVYVtnwbF851mJVD7tG6B+BQn0rlGeGOOl13sGu7ttwPfnL8B0Y9oJCnjm4qdOTaD6KWgC0333QXddvtTtE6xqTjA+1o89fzCgjf0PNaglvQ4Yr853zzy2gfHlnSd699e4WXBAdQgQ7VPgS+cBsYdFvnzMyxv2NSWCHUCv3QWK9l9p8MLunns2zRM6nx98Eu4B6IB4IPbuhT5Bdu+95HXfsM8F4GFAlzeBeNVVXuh9x5oWANw5u+c6ZjT5ewBSZUl6XNBwaXWtgPKA5UcWgE5inL97/w0AvcD60qz+AtDrr/tO5aQ61LXNcyp38yPy+23XwTMk0nteAPUJNFzAe8+jctRPeu6VhwCD5qwCDYDPOwMdmE3+fqw5Vvl3b+wK9sCOAe1XmyxvnlV1obpSWSmzPndQvI2qQRsg/61vf+zrpOXJuve5A/HdSxuW+jUL/ZwfnnPDh2194Fq2/SbwnHUKVRmgeO/3/q9fAI5Tvdjl3ts6F+sc8N5vVi++N06a9a47z46fOCn1HUj/dmzzHTjfpdp9fxBwfhOQ/sl3/61vK+EOSL8JUCfhDjTvmIID/vIP/JH7gPO+t6Zn3w6g/6d/7offdwLot99Wzu0sg7MOnHXg0YeoDG49A+d2lsFZB8468Gay0Mm4t1jRAkEgcBOMFj6awAect5jSYlH7LJgMY2cB401k+IzbR4pr96sChgPS+z3spLXoB1h3DTLuzu3YA8Bfi3pt2AItdPHbwyawCNZm0cl+XnmA8zlnSV1ilpc2f8vx+VtykhMs0OLwC782gQc2Eu02i0lY5/zk+ecB0XcWes+myea5SHL2BW9GX9Cixr6gATwHUGEC79Lu4yMdwPbyVy8yz4s9638y4I4BJmIW8dclyT6MvrsXkLhj+V8GUHT9Fvh5ggPSpQfcAYx3PACvDQBfGp3XdyzRQJLANz7JWNwAE8CT6wBX7mOiP/bhWbRtQRaI3oK6RX1AUL9H5nrJDw6gvu4XiN5iceUWsDN+tPmvr4CDkcJeADiQEChKLnsHkklz8xvnhX2AoYsNTSEAqG7reljnXaP/sYHVgc5XZuPzvMDRFrgERNjUJ2A+4F6+u04s9mE9rnz3LigtEuTlyzXVK8zsvu/31z5y3sDbfgPKgOn8v7GaW6DbgxAw8juGJ3nPbmdyY7X33ir/AgW6pvqorWC6A/X7To7dMYD/vS4DoR3L1xFDvnwJdBlJ7fUsOhYI1znuJdBQHdzrVNfq2ZOrplbQvj6rkwJMBkxc8u8CIsqjPHtflrb7KX/KDTtf/wGs3+XRBRC4d+1A2fSfYIAJIli2DF27coj1rn/hy1v6tc3+r20GcGPqYkcC4YDpvKe75wGSs3pYzOjS7noY6OMlvgJl6i8CbIdx/NwlaLA6Un8xTPG7r865AXop/zR2+k78zr/+r3/7gcB6YxuqGnugAOAKexuANcFDd//FMWYLPKsc2o91PkEWSzUEiOy56y8oNtTmRlZ9+WwDPoF7fd9Z5303rqpMu3b1dcCz1ecOIL8kqqublSkAvW2Aucc/etQBQFxAW/dbnxxI1Zir39LAQmftUZvonjDEB1xeAZN9juLFknAvz21Tj+9+YdLqXscjedWPyhwoTf69dLCFSZm3TbDA4x+dtDomUNd4uTIqL5XfqGwsQDkAHUA/AZ0pLdy5tO1+d0zpYQB3HeA+hrg8lXbl1/iaBC6ge2cIC2rtuM7rc4Jan74wvxtfDyC+6vuuHIUV3jlASf7lZMKB56VNSpviVNep/mAg9+4FopNxF1BAlarxdnlrDtBWWwv45l/e91S0an/VifbJ69xf3tuPPXOANAWZ1EZIuAfUAs4B26TkyxcAmjIVGXZ2Uj4Dd0ur9stWiq93mzlM6ZjnkK1X5w75+6UAgInfsUDtrtW92x5ZAHpbUu4A9Bjo/MJLR90zptqDI4yTakueHx958yJgOnb8KCwsmwJBMtQCqnc9a/VlAo6evKiCVb57uWGE95ynXrztiSmvazn19gtM6J7Gtz6rnRVoADTXHgWYkG/vXjoP233A8wWAuxZv830/P3bAOqAcqH6A8Guf7zuAfu2Ffs4Pz/nhwwaeUz68Bs93tvkOolNAAnyzAMQyt95E7n2XgO/cfiN+7MqHe5pA9EDngGsg+g6k71uqP77zOb+JdX6T1znG+TXb/CYQ/Sbw/EFM9J15Trb9WrIdeL5vAPT/5E/8B/9nEu47gH72L7ffbs7tLIOzDpx14NGHoAxuPQPndpbBWQfOOvBm1IEGxyYz/82HP/+vSKy3cNGkoq0FiYmy/1u/OAB6nzubfJ+Q7JMZC36AeZMVMuw2MlzYKC2C8rtqAagFFxHGQPqDBX/vwjrfWQ0twsyi0WKb2N9iTQstmAojl7oWKPyeBZgn7h1SfS3ckMlsgWf3YMSCHfbrAsgt9nRdUvf71uILCcW+z0LPW995H4BucaQJTEx0k5hzInP2CW+m/3mAFbn2w2t7SWyTvA4wAa4C0PlQ97s2AtichdZX3pjF/7ZhjS7QCcMci5xUO8AdCDSLs3cv/cV4pi/mG2/x8W9dns7AOOxX4PmAD8uPmeR8wAfGece1oIvFCnzCmsWUGvBoLazySW4RewfQR4b1HR+8AFZLkjhwpbQFEg07/e6FaVu59x92Z+VT/9a+AajufWnKYEDuxYgf0A4guvIvCAELGWjcPZO/HjB9sZN38B14ugcfdA5W+JTP8sbe5cj7TSLbfuWNyT5sygXcYqCTlwd6k2rHaq4+tQhWHgN1+NnvcvTkwDFgybkL+sBy5uXef9N3L0a86wOhBYrw5xbcQCK875WtgIPKFoBI5howDzzHYt+DS+RRHrpPzPLD93uxzd2rtjbv2lVnWBV07fIiIKJPsuieF4AcOz2gQ1twjT61mT2gZexUXnljrsHXvt99kuHnge5+BSlIr/21HUzhYd6u56F/wUg/1AE2H3QS/e6dykD7Rw1jBbSRou9aIzd+99Ju9A/1FSwSysPI8j5zkbceAPfuBeylMIHJe7C1n/jkXAMAzwebhDtGNJC8MUj5rbxHdeLjX5k0AbuBk/UrATONFaoLN/mfX8u5P4id3oJwYDGgf/rOF39rrlUZjYT48nyvHyq/gcmNqcp3+Q08K3+VY8+hvLOMaDzU9z6nfF/8raMvF0DSZ2W9K3AIPOp+MWaNzyagajGlByR/7vUpf/tJ6w8o/Nzrh4JHn5VXQHNjKhLbFtQH+FzKQ/XHjbkELrQB0CdQJpWRgpXufO4iDfurF0l7jFsS5NXlQ0r27qvzX3WL/znLjcrYeaU5fuhPfmLOxSaf4NFnL+NDUvftn4CpJa9fnQAEdM3KpPONswNUq69YvMBT8u/7eB04eIDady8sYAC34Nc+KzOguWt3funP+P3uqweQPkoEa9zN8mA8wRfgyaqAPP0EO+SH/cQlcHUUW5a3umAW42+KUgdIvzzX53kuWfS+k2/n2a5uld/dvikQFXheOxHwFoCOgV5bHIWE516ee8RoNrYv7STcAeidDyQP5MaS5nm+s9Lll/d2aQPXeWp3rdKhVFW9Nn8Bok8w8GLiK+PKbIJPlpJWvyuP7rs8CyQoXR7opM3Jtve7z7buC+hcHivL6qmArfpfARS16+oslYOeI+a4udiuVDD5W0ElAiOnr1BHV73ruMp97LrWpt7wtS9/VMQEIex+4n4DpLv/g7W/+n3gubomuKj/2XBRF+t8IDnwOyBcwMEOjAPLu/ax/+feex/rfAfVpSevUxf+y//2X+0sdPPDc73onBs+bLaBlM528HwC95aVVu9M4PcOeHun956qT97BcnO9a4AcCN/7vPchkL0+3HsMGz1gHECNjb6D6TtYfv19Z53f5G9+DZQ/6Pe3Y58Hkn873/MCAQLPd8n2HTTHPvdf7HMA+inhfvvt5dzOMjjrwFkHHn3IyuDWM3BuZxmcdeCsA29WHSgiONZzMu4Ww/hEtQgbyyLPthaVfvItbx8QvUWE3YfKwtou1W4hbt+/L8SJIsYwbyJDun2XcgeWj3T7Yp5b+HMOz/GRjlxg+i4Z2EKLBac+SSGS4OOPPosvT3/6PgC9tDAuykvXtDi8T9aanPU/BrqFRIs/GBUW8LpWeX5kAej9TsYdiN4CyQmkn/3Abci3A+VISu/+2dfMdODj7v+MIVz74Bm9+6kPi3iBv4EhQO1+A8pJrZNeBh6T7es4crQtigR4jXTvnS8eXrbYwgBmYP7hJb6AS0zX7jHAA/DbcViZwzx96pVDAWM8mu9+YRZgycXyYeUX2qI839AWk0kS6xvrY1qYBQBK8/BqXgvJwP3OKx8Bdx0LvO0edw9xjNhYt/xJAezASCDx7h9fet1v3wHPvh+M7Ze/erC7+6y8sdM7llx5ecWOLx+7HDtAvXqyA/FY7AIueKdXh3qmc193/8VRz7C4yfVjKHeMusrDvXJSNwHTZMO7Z6xZecQCL43qmqCR8lEeMVXJqvdZgMGAikvanQx+74jxN3/5q/Os+gysxMAmZd75/L+VAbY6RnX5KQ1KCTvgj/Vb+upMeeP9fvjBL+a/oBDWCljoO5DevQtQ6D6mnVYv73zxABbZBpDq71iAvrrNLkFbBKxTfagd208BoO3waF/nevbKp2OrH9Qwpi9Y+aitVs4k3PveedVNktxdvzZWmw5IqR1jItZuA4AAgTsTnew3+Xbe3xjoLcgOePuBzxzgZ//xo+76e5p9Vq6NTVIA6l6B4z4bj+2Aeb//8VNPff0mEL00AvUGyF1S/ZUHAHpX02hcUn7rnyw4Y+gGmI1s+t1L+xOI1D6y6vzQS2/Gf6+8MX2X/oCHcccD8AeweubVo28EPAtQAJh3PgsNgUjKnb95YzSSrGRbK/fuw9itsV9lXJ/cWKtrdy7P7NKlrqJ/bqxZWt415bH93X/P1rX6PgE69y7S586nqtK5E4y0jY33gNCuY3xZObW/87DxyqvAU5+1F1LwAkmrv0BMY9j+6xrzflnpNYYF+mNzY6l3r6VbPWj/2B89fxm7NjcQlNozG0b9YobXhgCLjW+nTseIfuLePOsBtmtXS4llAgkWS700Ap57dwLBB0BenKpJAAAgAElEQVRfzOAJVnn2s1NG5ijjb/7kJ+b9urfZAT+fvgQSDAi6gic6pvbW2Lxxf23DFkDcf30WpKLtlL/yhTldPjtmVCIWE775UAA6BnfpYJa7F/t4o++y640Z+q+0+aD3CQAmT16dHfbyYk1juUsLw7xyGiny93/mUNEgYb97fGNgdw0MdOxzXuHdGw90bO7S7jnozwUgejfu0u3svVhrCVSpjis/wQl9r+5NMNaznz3auPZhPmcuBYAXFGE+hbUfM1xwANA8oJokevfdPVXWAi4wzuUP+7x6JThhvj/24W8GYG/geJ/NlXcAfQfYsdL3//btPgB9bX53X31ee6GfLNFzjvgwrBcCz/d55rVse+82Y4sdAO+/Uf5b6y0270OMdWpM7at/8pucO2uSfY2LPUjHNH5oLLWD6DvIfQ2o+9xl269Z5zcB49/p5vrXzPP9c2ed71t+54HjmOc7aN7nDqzv8u0//EM/+E8D0M/gnNtvM+d2lsFZB8468OhDVAa3noFzO8vgrANnHXgzo4L5oJM554fOc6oFgSbvSbnn9xfovE9krn3NeZqPV9WSKm4RZGejO8eCSN8tKPptYWUWzhbYbl8LGS0YtQ+bhYfgLPwtifadrdHCiYWgth08x4TiZ96iDOZGk65ZdCxYYAFKJnMmaAIJmpR1fYtcLfK497b+a/Fq8vfYM7NoUpBC+YiFzg/9GkgP5Dxl3c9+4fej/e/s8+o1MHRn5gLTsT8DJav3u782kBArFBB/gOcrDcxnoF1gAd9c0uw8YUktk3tvH5AByNZi8bDXA5/vfO5gsgOBSTyTgy5tYB0P6645vsDrGljFmMYtpLp2x9Yn7R7o/DP5l9oA64E3ZEJLo4Xi+yTdX3nj8BEt/coOS7T81l/2OxAQMAnAdq89jwMkXbLgh9d5zMoFMAOwd9Y24LT0Ox4IynecF/cAaUsGnjQ+iW3Ma37apLntB9wOK335fx+y8St/GMJ9di1seOoGu487djyZdP/b1//lXaDBIcee5/KyFSitAH71eGfVDUiw7rt0SsM+TG7XxNDvmpi37fd+KE89V3LwJKYx/YH7HQvc7v/SpEpALYDnO5Z3eQNokLavXAUXKEtBAJ6958c/XKBFddH9aqtju/LKGxd1hGdfm/aIjd85POsr2z1Yho+5+x1/3Be/PMeUdnkcafkVPCO4Q+DA4Q3/8ld/B7NdEEXHY/R3PZLjlCUAMto94LcN87v3/khOL9Cu9/4Ab4t5Tk2i/7Tlzh0A/s4XDyAZm5uSTuc0hmpcEIBU+xcM1D0DcQOWykfXZyfT+Otb+aAHoLfYexMDPaCocQ3feIDsweZ+6tWLfH6A25MXVmjjnZ5p5dlYKKBwJKGXAoc+kcx3fbM6c6gwLGWM+sf6uZ551+q58VhnjYHhjzmt7DGnycsD0bueAABlVvl1bpL5lXdAr0BI3sl9x1YOGA24JKkvIKKNgsc+bsWwn35/Mef1/7UhC/wCMzDjAO1YddV/zDmL/2MhEHi3gOiRp151sjwDA7DFMXJJtwMEDp/oAPPY5CsgZPy13/vStC8BMKUNcOfD7r3Uf7UxoAL2cmlWru3ntV0bqG7M9bJhufO5g3VdmoBjecDwnSCyp16Z8zt2/KTfe1EGwEDH3B7Z+8YIdz431xSE21Zb7d47V+BabQZL2byAilXlZW4AQL0G0fsMPK9NVfcnPyufM15/30szXq9+TRDTP743/ueBzAG1Abf8yfd7MTbgnW3/HkhbWs0LOl9gbXMVXt4jRb6+Y623DfN8zXt67oJ+tPHKu7pQewY0d90BbDcAPeC8e066vUDpawC9Z4utXf3blXy8I/rOTqtyrsw9r65PwUPfS7b9mDeu4OjOZ5tD9ad9XX+Xgt8BdOpi3VPPobmq5wws7zdfcWUtEEPQdm1g/M773Oor+fs9cKF0dvA8kLz6EYhOsh0onuf5Ltne890l2x8EnO9+6gIBAtH/4k//7D/jhX6y0M954cMSpL1Lt++e5fcpGS7wvM/dC/3aAlDADrC8vqPj/DYXAY6TiJ931hpjUU/ZmeiNq0bS/d1/Z3zRHyS1vrPM9/3fCjjHGL8GyP3/sV/85r6bpNv37ab9Mc+B5zexzb8T+fYf+7EffzQA/VQ9vP22c25nGZx14KwDjz4kZXDrGTi3swzOOnDWgTerDjT5DkD7hec/+yvJuJMgb5GiRV9e6FjoLag0mb/2kgIgWzDZAXUe6FgsQHCsAgAzb8XSNLEBXpMI3CUcdw/Fm/z9sGEseFhkaTGIZDvwnE+ftHkIHtKVa/GeXGGTPlLC/VdZTTncffXwKWyxxb0LCKgMSMWTHSRBaIHrWwHp19LuZ19x9hW/V/AcK0AdFyTCSxxz9pByX37WmLoBkIFXmOkkwgPhArgAXY4PaAHkDht4LcK2YEoCGAtvJKTvXEBjgDpfWgzPWYx9+tMDoLcB5AeQW0xaIFC/gezugW9vxwPhxnv9I78+C8WBCZXNAPyLNQ+sB/i0ANuC7LWEe7+x67Au27oemdPuDTDY9bEtAr6Gobsk4y0oA9q7n51dr7wxxkdme3l3l++ek8VuctaAc8CxoAG+2ny9K6vSbwMaUxdQhm0Y0Z5paalXpT0s1Q0gpjQwzPS7Fy96gOnuDw7Mx7SfIIkFXHdNntk82gH9lVVBAd17/wFq/S/og3Q4eXMAc8cA9MsnWXee4MDb/gtErjz4IQO2gY8k6MmPA87J4rcB6Lse5YaDSb3K/KZ25Xn77T7aBxzfwfMAxz34ZRYjX/zytK+RnH75ty+A+MsX+fzebf0nsIW1Qtcqf4IYaiMWPPufWkLlNGzYFy8M/9JkJ0ACXn3U77CRcBxf+qP+rOCGzp3yC5T94KWO8aYfr/aPf2WAm9I+nv9Tr8y91JdUtoBy8tG1TYBuvwF8ZMTHJubuBazHQi+9yqKybWss0T7jHqz1ypGU/UgcP3UBbEqztBtrNY5pzPAgifZvtTUWCQwcELn+MmuLD712yLB3D+Wr61f2gOSRMf/4VybvjU+Sp66clH/1ofOqH5VhdXoPqBEMVf/G4oaqBbZ7G4nmQD9+3Vie7R+ljQW29Wy6h7nWqn/SIb8+4PpSH6gMA8v6j1Q8gBxIGlBY39y5+1aa1AlGjnwFVLExqI8vH6ULUO+59syr7wJAyZQ3TlSXHVf+eq7sgOYdEBP7fZdgAt7fIxl976JsUDoDwj55CRi1uV8S6d5DQN+R3l71dsbZ974w18X2b0w876Ul/76P4Y1/2w+olE9tZIDMxXg/rJKeuDfj3rnu256YPFBY6JzSqoywr0mcY4g79ghkWRLa3VvtiHJL4/beq12/c3rPlh75+8bhwGUKTz3zznnkre+cOoBpHUjZ/TW/CXgtoDUfdF7XA2q+6yMDfCbxXvsqL+ZDMdBLh5Q8gBwzHuiKPd7coO/XjHBS7ZjUgn0DTcm3S4NU/Ei4P3EBlfvNJmYsYJbFDJWHmecsNS7S8NcAevcTcN7vggP67N7Gk/tdHzmUAIzR+qT4w5an9r4rhHl2Ap17Zv0nkIm6WHXaPKnz2q/fKN2uTwJ+PNRXkDTG/64uBijH5Mc+bzP/wj6nptD1WB6M5P9qJ9QT9vLrGZBX32XXd39zTPP2B6BjodtfXWs7/NJ/7r0XT/UFou8A/e6H3j5S7s0Jmw+e88BzHvgwBGkDz3d2OXAceG4bIHyttexy7tabmguYKxmjOrf9rMHaz5KwNPQvtWVrXN4tlGwad6VGEkj9D//mf3YA2b9bJvlN201S7A+Sbf9WW/mz7czzB4Hm1wD6Nfv8DMq5/XZzbmcZnHXgrAOPPmRlcOsZOLezDM46cNaBNzs6eJdxt0BB2rMJR5P3FpVaBGiBlxwlFvZMXmKXLY9yQPruBV46MTz63iJV/2EeYIx0DPZCabVwIToYaM6DDxOBz2ETIiA06UaLRdgeLRrxISf3jvnTObvMvIUdjDmTN1HRmOjY9H2OvOXjHz3YGoIDTNp497WIE1OiTws72Cj23wSk95xOIP3sH36vbf4m6fZdshuLFNjFv/yQeF5svb5j8ALNMHlJdO+S2B0XqBIIOEDXYuS20IHVBMweQDsW48tfvSym5o27vG8DNDp+Flbf/bHpJ4YpvnzVOxc4N/7Vy9tWPmah/YXfGMAHwMizHasbiI/BhykLROGzOiymxz96yLZeA+jYq7yUeayTMcVWDAQiodvid9cGHPUZmDRM0qTeF4hNCt0zAboOa3uxTwHjQGagKhCbT3rHAoYB4qUNlPcdY5l8dmoEmOSCEgD3PA1Jb+/y4Ifs6wq4UDcOqfkFro8k92Jz9xxI7u8Ma17opKSlQ0HB8QD26p/7LW/KpXMCbUmRUygApgNwMW6V124RoE4LLhhG/CrnruvdAZxWLsqCPHzn9v6tnCb44e4X5rjyRwrec7YJZOk6nVcdFjTRf92zZ6K8XFsQQ/fmWQNGy9MoCqzylhfy6FQndg/0riVQpeuNtPeS6cUst095UiHo+BYzBRcMg30F5fCgrwzUKxYQvM+B+c4D5Ap2GMn1Zz87IA5WJN/lPg8wb7VZQB+Ar7bPPx27vc/S6Zm1UFt+AkMBhYDHjuu5C84ZP/blC12+An0aa/H43MHxbweod+0YR4EsAN/6jEDOsV1YQUj1X9jh9V/1Qe23iNz4KPCs/Ass4XEeSNfz1zY93xa1x17jzqWfEmCgTybnzv98+s/FWA0sbV/lUZ/qOQw4HhD4wm9MedsA6L57Z5F3FghS2uW1ZxdIHoDeGJD8+751zQnsWEoj9bfdI+uN8jX5eeqVS4BVZZB3+WLc98nD232y4pgggWe+aV/UvgkQXaxhUuW82QF4XQM43TOhumTMOrLld754sQJ54eJB3n10v4HXvqu31bHKpHR2/3Ag9bzjVl08ntECGL3runfBYCMbn8pSNisreFWaw/xd5S5Io3de9b5jA4FH0j9G+mKdUwfouc7Y/JlX57vAA0BrbaRxcmP53q8CY8tLc4uecWPqAO+2WNXZHfQ90LL21VykY9tXO+uz3wEnASt975x+t/V/v2Oot/V/4HlAMy91z7KyGv/3xz86eRJQ2xhfMK/gXWB25SG4l1pW+0i394mBXlqAeXWCmkDPTKCPvIyf/POvHT7oQPw9qKR7KWiG93lAevt5pI9N1gc+czDQgVPAsLZRsli2OuPDvoL/em6jerACg5r7OU7foA+s7AVhC5B0L92XtLp/YPYEOixWP3Wx8itgAqjef9UVARilMW1pKTCMGsmmNqT+C4boeVXvPAvM812qfcDyBXYD2QHowPPyVH7KJxC+rbTbdnn4AeE3ZjoWelLuWOhnMPU5J3wYfM8D0Em3W0vZ2eWNB4HffUe42NnqneMY0u27fHvvfXPWXfad5Qo1JbY91qVYttT/ANGHiX7n2a/nJ34toX4Nbu+g97cDznfp9e8UPA8g3z9jm/f9PT/9owd4HiB+E3jevsaF+3/X3ucn+/z228y5nWVw1oGzDjz6kJbBrWfg3M4yOOvAWQfezDpAxr0JTiz0XW5chG4LPy2oNonvs/92BjpWDdnE/m+RhPRjCyctOPEGJ7e4A8uA5r5jgVs4I+9nAW0A8icuC4pNgloQwTSxHwu9RRaLEhbaHIO9Tm6wvLeIgtXTwmcLQMNCXYvLpKubwLnf7p1vXufyHlSWfAF5pO9g/iNvfecspHRPFngsDrZdA+mpBexA+intfvYXv9eFjR1AJxONsQpAAX4CV2sHQDhAOUDvYJwvQNX38YVe3uP8qPljY+sFUgQK8OptgZV0L3YjX90BhAI31iLrMLyfe/0iyX7nAlTXToGGggJKH2M5cDKgp0Vc8vADfCwAnyc5b3HsQmw/csEtsgIldvDcd5KwpX94qS85ZGxdfWngjcXnkRD+5X95MCQ9ixaKKjsS552/s3eBtANarrLuvrF9eWgrB6A88BkAz/d4JJoXMA5IvZbJx37HXFeHhjm+6k7fx998SaH3CaSVPoZ9v4HeZBnVHRLwO8vevQHFr8F/rPby0XMnMS5Yof8wuAUl7GWkjvNyd4+1BR7d7cNsF7TQc5HP8iNNsu97oEn30PPvmJE6j4Wft3cKCx/59SNAQh0AOO/BD2ToBRAI0Jj29tzrRxl4zgBt+0jtY+uT9Re0MKDI8jcHTO9+uIJkeKgDw2tHggDkeyTqn33t6EeA+rvHfYujHac8ug7wvOPI1pev8gI4Vne6p/JZHxEgByQBfgfetU8bJXXc/kCWnSmLrY55Tta++tRzI+HOZx3ICMgEMAuEmMCdD/6PF0b4GofEYmxRF2PqO2GiV8aBYAFfjW/Uu67RPWJpTRk9c2FxB2xiZ3UPFpo7v7QCwbQFjGhAOoZ2/2vfPV/BBIJq+l49dd36y8oAyKdMB+wD+q3944e+JPL7XvlV5sDzfpenWPNdY4I3fuXz01aGEf7il+ceBDYFFla+9d2/g4Ge1/YKpjqCItZ7hrw/9RMS1B3TsyRd33ugvLHn6L4aB1IoqK8vn41rq/uY1t1L9ax89HvY5c+/NuXKCgjLuHIU9EFOnorSvJMWiF9aGOgAbIB1x3ad3kvDsF0S45U1n/Zhqi8AcYDMJy+g+wHULun5ju2eqjuluweSeSfymu+8Udj40IXlDuCl8lB+PA9tdZjl77lzWDg1J8EWr40Au/teu+uz//ncYpS3v8/OG+Dyb/3iAVg2BueJDYj33w62/71f/Pvzu3F85wObq1cCB/iZdz8A62GKL5soYDplLABwgC6GeaCpfc0HMKmbHziv9DtGgIXyvK+PeuKTh+Q+tjpJePLmO4CehDsQHROdp3f3Uv0VLFLdq35SDAN8z/2uOj0WA2u8NfXl+dcOX3PzLYo+/V+9ry6x9qqcJyh52T5U947+4spLvk8ByOy5dka6AOXOI/s+wSFPf/rwOGdxUX2fgM3F4h87jwXQ81jHLgd238Q0xyDf9++M89IS7GHb/dpJvh/X2ED0WOinF/o593uYwHPS7UDt+9jni4ywb9T79mME0g77fK0/7elJcwfm65uw2cfKJMuUNQb0fgXWUxPs83/+3/+vwyon0DogfQeyr0Ht3812k6/5TeD5vgHNfb8Gz3eg/CZAPTB9l24/2ee332bO7SyDsw6cdeDRh7gMbj0D53aWwVkHzjrwZk92THRioTeJAOS0cNSCapOJJvQt7La40sJGoIGJDcYAMJw8exsgHpMDwwOYvHuvA8ixwMdDci14tvjj2L7zauQf2L4WOMgkAtQtRMzCyhPfZJ5jMvSd3HyLKZjuLdq0UMTrEnjePvLuZP+azJFwb7FFEIFJnmACjPwWeB4JOH/i3ixi8fJrsQRrAVMFo70tEP0aSO/ZxSY+Zd3PfuP3Ap7bWhRtEXMHP3mEAwqAqIBU4N8uIQ08x8wFGgLoyMS3gAocAwBjN+6fHbfLBJMhxqrcWU8DyN29/AeYw0YHpgGKAUL937nlse/j0fnCr10A2AD0ZNsXSFf75oFu4bcFVkC5z0AETLwB6ZYvb58DhpfOY88f7PvxVo1BHxvr3gXUd9/Tzy72LUZvACNWLknxgDnM5u6ve8AeBi4e+1Ywg+cGQOKxjgmOBd6mDKW3g8395xkCPwcsX9L5juVZvXuOl3+gaXls20FoLFNscHVo90oHvgKmecM7vvMHrF+M9P36mOC7FcGoKyyp8AM4X4ECmM/VnfZ3HcA2n/Id5O4Zl6+eV89OmZEm5zVPYn8A5xUoQOZcEMvOahcYMIEF9750+KAP43ixt9unvteWBITs7bjrUWnwHLQ/0vKj8vDMqwc7V9CCe8TGV95k5F0f+7x63u/SYZ0gqGKX6HfNfpPAJ4MvUKJ7rw6Q7Ox75wjEoN5QH1GbwiomdwysrU2SYAa2ke8F8PUff25MWZYQvLID8Vp43f3E21dbxzavTWNIUbBp3CHgsGvFeG3MYSEYK+qakY4x3qJobNgAwsY2lWvp609JnQ6Au7x+yw9mV3kwxmnMFKgWUKXfnzb9gUsbrv8cGfOk2lebq3+klsHqovO6RvkBTAuQZIExZR7gt1jlQF6L3IKJ+DqzEcBGb7/2wxe7Mu8+yMFjZAdENv5sbHUNoM91V9/aNSZ4YKkfCXBoG0b6kpOv7tRHT1v60AUQrI50zA5ak6GujCqLxro81QUSAI8HqF9BB6OAFFPuiXsX8H6xZWd7/2cuwWHJZD9/kaRtP1C8d0/3XJr84suXQE/S59IV3FBdIy8PbG+c3viz87CC++w/91PdocC0g+jlQT48Y5LbAM/GudW56nFtr3Zg7tHzCsAYgHxjh7dhjlfn+w947j9zgGlXiwk+lipve+KYC5BX7/5GRv/xj069IRfPb7t0BLVUh8srn/BY2mTV2y9wt+fBO9tYfnzhlxc6CX32L0B07OX2k3HHSG+uM6D4uz5yzHVmvrIsEXY7imHA97wW8Ez2nER8843yfhMDnb+7dlP+qxfVud02RVsBeguQ1n5ruxP8uJQoagOCrakwVIcoO3QcQBtbvbRJ9wtAwMRXfuoSVjpJd/O//mczwO5AADZls50x33fju8rQfAzQvfuTA8UDytt4lvNB54EODN+92Pe0PPfdAx1rfd9Hxh0L/fQsPud+32tzzF3hDHi+s893IB37nFR72wGkL1Z6myBA7PUdbL8G5XfP9B2It7YlSKzPtt4rXdf7xTutsRxJdyA6IP2mrWPe/jP/+QOZ49/q+03nXIPmfdrKR+B5YPh3KtveBjxPuv0v/vTP/rOTfX777ebczjI468BZBx59iMvg1jNwbmcZnHXgrAO3KeMOQBeFa0LTwkgT9xZZmvSb9JjAYK1bcBLVWwTvTQwqi7/A8iY+LVwMO2ex0fmcN9Hp02Imub0WPTALdoZBiyctRJBIb1HtYKa3AJr35ubhOIyop169MCbW5IoUWBM1C8uYcJ1DvlNUdFv7LHyWjokg9rmtCVplWZ7IUZZ/CyYtcJGi3yUb+VDuQPo1G/2U8zv7j+/U97xFDWD5gGQLLMXcBo5Xz3nOkefd5Zw7P1AlkIRfOilpns4tjAZ0ANcH/FqAIaCzfeSkATeBNK6JkQjYwzonkTsspeWribVb3rDmSwdQDGCqH5vz1wIvUJFUPFnin19b34e9+sQnpy8Z7+X3vnRI0O4S7tfsc17o43n8/AWEr12P7/TKQ5sFI2zO+rn6EUApOX1M590zmhw6Nja2eWXWM+o63RMA3bPCggd8ByYBlUm2dyz/U+A2IBdAjQkqWKLrVu5tgPD28VAmmz8M8AXGYcqXrnsjxQ2UJ+Hdc8QOn8WxT31tGKlkHLGWeXEDrnmrj+T6Ap73ugtI7nr97r76DiTHjO447HUBBsBkigdHkMnHv3Lkw3UPn/kVWCJ/JON3P3bABel5+Xdd53tmleOw3+9d6g4v96nHix1eel2/+gVc54FefXH9OeaVNy6BJqv9A8+7H4xk+bwOzFBvR+b9Vy9M9AOUXwx2ZUYxYMp3U8HYZfTJxXds+STX3jGUKgZcX768vZv7HwO9ttUW0NR/47282miynW2NJepPBMXUxjtnZ3jW/nv+5YeEe4uu1cGeUe29341zau/6MH7CjQ3qUxrXAJIal7CUAaJ3H/3P/qatsUEM0sDz2KKNechk8ycOgKakQ8Gg/qTnSkK9a/dM+s9YL1Ct/oySR3kuvZHw/uBvzL62+thD0nwx0gU66XPqL/okx919k24f4HpJpFeW/Z40l1c7O4thoS//8/ZhoXeMgBne06VPsnWXcM9+qIXwxl07eA7oLu/dY/Ww/rky67l5B4ysc3Lm7//McV75tLhf3oDn1Rc+7occ9Ps/c4yXJ+17XzgYrkBvgHfPqGP4hmMTd1znlKf+m3a7Aj9J4WOel97kcQHXpOW7l102vWcCSK/dHCz5NQ6f6z91YeO28UjvGOPSCYx4+qVhLAe6Gn9Xv5tHBKp2LeB4oHfgN4afgJF+Y3y3f0DWBV73KQCV/cn4lz9x7wBJtJ1+l0csdUBsICgZ744H+pfGANtLNQBI7r76HhDKH728BDrXTrpnvuY9AzZNfLvNSXyOP/t6VqTbAfsAc8Apb3RS7gIPSqPfoyZQP5XE+AosphJQ/wB4Li/mZdLngQ5AFxAAQK9PeeSt75zjpq698sbUWd7Dtf/atYAacx9KGsquz+rcqFA89/rlPfChCxudwpjAjLF6oO6x1H2oeHgO5nrdGzZ5dQKAvit5mVu1edZtvM55sqvbk+97F9sLVgmV7dglvOfOIeEOCAegY4hjp1duwPA27PLd75y/vXmfueDhhX7NZl9M9yPNt//DN2Khn77F55zve2XdcAfPd9/zwPMd2N59y6/3A7utq/BD39ebnDvvgU2qfQfSgfSOQ3TAMt+DGFkI9r5gNYiR3nuJpHvvJJLp3w5M/1Yg+00g+vX/O2DuWvt2E3jedxu2+f5/x//5H/pT3wCe/+TP/N0XWUFEwrjt+nNuZxmcdeCsA2cd+KmHrgxuPQPndpbBWQfOOvBm1oFrP+Rdysr3JhB9tliQzF8LLC1GWEgZ0GvzM7dI1oQDWA5Ev4lFRQIXQD6e4jEsYzmtKGHs9CY7FvjKA5a5xRNy7scixM+9d/Zhr/OSHPB9sUdHVvDeF+a63WfpW0xuQbzF8PE8/9UvHaA7Cc/2jRfXr17AvoA6C7gWo7HxlUufpBRbRCE76LfFx/LaJ6YKAJ0cJCB9Z6OfIPrZf3ynvuekd3cPc0xRXtmBLi1qCigBhlbXsdQ7BgAKKMSOxYgm9Q2kDTQjK41dvLNOAcDlB2iOySRPwBRS7iR2Rw753pcOFYlh1969gOfkhAXD9D827IDVgYzPvjbpD1NqMcEBKGPTsCTlA0vIpnZtLHRbQMLORidn2+Kt/AkeEoQgkEcZDMNxA6f0ucpqB2dJcweuAMKl0f0BGoGV1AEwfvMVX/IAACAASURBVKkEYGgDL7HDe0bAX+D3HhRBpr0080Y/2KmL5ax+lCcBF/p5Mu58sEca+eXfPhjH899Kr8Wv8tI1Jv0XL8za9nXvmMmd1/nAWsB/x3d96gLVXax+AC1m/wCuz71+BBiQbsfoFbDQPsEo0sDix3xnfcBrXblP4MNKA5juE5NcQArP+85TNj0LwRWeRd+xBQfgWMD7KCisoIry1H51prJgDaCMqm/yf1gxLAb7AaK++FuTrqCD9rkeQL7zlXd1mUS9dq4+CALgQd9/lRmJ+p75sOk//pWj/Lte5Q6kFwjTMfqP0tcGgNgAzmm77/7YwezM67gtAGpXlADaDnN6sdrLc/UHkFReA8wbN0zbWCBe4wCy8V2vsUj/BXqRNQ+kmTFNntQF2fzSJw/2eenW9wD7A1rrU7BTB/zMW/vl3zzahucjkGQsBpaCyAT23fvSoY7BU7TrNI4KVCOn3v31DKsnlVvX6VjBFMq78h8FjRcu/eZYByzP9QmAWvfe/1QAupcAqgFmn3l1rtUxPI+piFTHsP57Rn1OX3rni0dw47T55ZVt8byxUsdVVt1T49qexQ6g91/peR9O/7sY4gDj+uDd6mMCKRbbXHDTBJE8+9oBoJffaWMrsKtnWz5rK7Wr0i+/GMQ80MtL12EDBBgehnTy8U9/+gAruzbZ7PLM85qUu+AAvuITNLOCvjx7zP/S7z6whys7gRrA9vGDXt7egmobYzdu7nftpvoe0ND4H4Nc0AfWOMC8z4BpYCgf99pF38sHharqFFZh5UKhqvLp+PHOXYpP5gsCe3f7pF2RivR930mxd39A9mF+/8wvDIhc/QlU5rHdPIjMubmHOQmgFjiPed5n5SgodsD0Tc4dkA6kBaqTcceuJufOS116lVn33DG8u9UtnusA9PLd1j2QbbcFoAsO6NjKkHQycKnyNy4yLqQEtFtYAbUEYlQHe1Yk3aXnWU2g0eorfALRzaOA6bs9GOsNUutj6fXYJbABgF46A4YvAN1WHSg/pOVrxxQtRiXi8Y/eL9++5pZY5rv/OXb/zlbfwXMe6p5t6VIf6/iCS3Zp+KM+kIxfTPRY6ACwk4V+zvtue+3QHJPC2U3M88Yivf/5nM9az2YFiHHuHbkz0ZEbrDn5D+Gh7/ualE+e6b0f+72z1MsXoH5XC9R3AdV7j/U+804rwPIaSL/evltg/Xp7ULpd86//8J/4xl/+gT/yOwDzBwHpwPOf+JE/8/W3/NW/8g3gORuI+o8TQD/7kNvuQ87tLIOzDvzUQ1kGt56BczvL4KwDZx24DWYqYA0L3YYF1cJjE/tYPC2uNOE3gWmCYnIDJCZ9dRN4fhMj3eRqn9y0GGwiRSLeYqLFMOzzYX889uGDdYC10UJYCyckAzsPgwZQ5j5aDLLgTLa9hWh56tot6JHs7H5H9vbjXzkk7fmOtuhd+XXt8raz0C0UYjSU1xZEgOoYFO7LohkJRgtALTrmW3+C6Gef8d0sbNTGyYa37TLsmN+YhMMqvXsBzEnX8ock6Qso6fwBWBeAHjDIKx3oGnsRuxUIC1AEru5gKTYyIKz9vGcBFi2MyAvQvLY5TNTFfBqA+e4FWHfv/JQHBEom+M4XD6/x+gCBMl2rcwAYmOHjub4YUuR7AeW7BzomeiAE1qJ8AQT4g9dH9V+/MesFM7hf/tmkz4GHWM2A25G7X+xe8u17OQKZB/xeagA7u7xjy9Pui34wwReAT+J8l4Dn6e1ZdkxlKkhgB/+BfIB8wCfP7UBiIK88HqyUAgmW7DiWcv+T+tZ3l3b1rvt2zzzdMdgP0PrjX7mP9U5uvv/U7f4XgNFn96Pfx+rv3K5JYaFP7HMBI+6t84Dj7rs0+r6Dk2TLqQ/IY3kiGw/Ex4oWqFJeulcBI6UB+B0gY4HoypE8Pya3/wZAXRYAPdPS4jnO510dKR/6EEEtHVdeBAIM6Bp4XBDA8oBXVtKpD6k8ykP1vjLuu09e7BQmuhcBKNrEALOL2agdk3AfxubyKe577VN7xV4GMo6s+94HLMl4AH3tufFNz7S81p57t9dPdA5v6u4Z+7H/ApICa2r74zH99KcvYNXLvznjkL5jaVLz6J6qI8Ou//hXDmlTgS59knFvf2kIwnHd3b6GMkAgXsxU4FH3J7gKgG6cJDDEZ+kDOns2lCew/wUJ1a8NeJ6EvuCF9RuwPlL5sduXjccETS15aqBwv7vPghwb4wHNun5jrfLQMQOSv+3dM47lUY31PWD36vfrM3pm5NFJ7Hf96Qs+8LmDERfoVr7ZOFQexz0tr+YB4jp3WQg4v3MFhvY5HudLml39ah9LpJ4XJnvlM77Xz71+AIHdT/dJsYhsuq3/BX/yMycX3mfj0WuGb8Ag2fLKLbA78KD6CPxmz9QxvMgr9+YK/W58GzDdNbuXAON+A2AxxusfuqeeMRbigBqvvHEwBqu3A6Qv1aqugzmIxeyT/HqALL/s/gNWkkTHEm+cHUDdvu69vqBjyitwM6C5Y4zlU+MKZAZwAv2N2QHY5aPvpO3JvZNhB6zLE9A+oHQsYBZ4TuIdwN/1Rpp9sdBLu+/dp/QF+U0w0PJ5F6T7yFvfeci4B6B3P9cAevffsYKrBBXuoHflwatcsFKf1VeS6DyNR2VjKYSMPc2dy38AK3mvXtdGqP3UV7EQ6Nl2TXXWdwz/3cPeHEqwRPncFcxKr/ZLypllWNcXDEAtAHi9+5FXhp4VdvjOUMc0r+x35jl1gd0Lvf21mwNAXxLx6uvOcu86P/GWn/+3Jwv9nPt9r6wZ7vZg1+C5NZTaGAWj+nBqW7vHub7e2EQ/Qx0C+I493rzOOKN+RWBOaWjnfRc8fd81F3jvfdT++mzEEetZvYMoMl4D6QHagdl9PghQxyL/bsFz6Um77a/9+F+4Dzzfvc5vAtOvwfP6jNQLd/Z5APpt159zO8vgrANnHTjrwE89lGVw6xk4t7MMzjpw1oE3uw7c5Its0tLChAWzFiabxMdCb5GFhOQ+0cE834Hza9B8B9btD3C3AIyRTiawBbXSxtoa/8WYW2uxtAUvHnhtO/jcgkqLL9go44P67DcXrffo5yZbuyQ7UPxg2C+WevuasM0C/ZLlbVNOA9oE9D/90rFwaGGRn2KLi7sc5I/81H81CyPdR/kXGND/fCKH7frujx0LSBaU2gLSTyb62Xd8K+n2VApq39UVYAfgg4Q7b2MetwOmFTSyPMDbj/FtA/QCEQNLAjWAOYFlgXsBTNrMSBJvbGWs4d2/m+Q3ZmOgEQY6yfUWS1qExRzkh05yvUVdAHv/AQSx4fuNie68AaWW5G5tjBwxefjxi332IsHecVQhdj/Tm0B0oA359wGh1uJx5auf6TvJ/AFNFuAdgFMZlp+RdV4MfuxzQGP7gZl97x75Qbe4jXnMx5tfNWYvWXLsc2x2z4PvOPn4zgkA5h0+ARULsAeSkzkuvy2cd6zjeM1jx5eGoIDD+3sxx7GrB6xeDHuMdkAdcLl6JYAD0Fu+gep8XMs7Rndl27HqMY9xDHNy94Dro76ucivdUTx48bfuS985fRdwgL0PEOfFzosZ21qgCzZ457k/wLPz+Nf7zT5h6sQCz7HHh9l798JO97/n3HH6hsoigFJ/AaTmbQ7cL1+jKCDgYT2r6nD3QwrcM+v4kfNeATK70oDgAMoR2ERk3KlgVJbqdm1T0Icy7drDel9AJilrSg9kgklat/k+DOzHP3oA5+NRvUDRAYKWPHx56frV6+pbwXMsBXpXkwQd/+d/8rlJo/R47U4w0J1LPgN4pq/Kl/q51yedncktUKh763p70FD1geJHZdEnO47yxb4B+7z7Md6qH21fz7oxSpLOfInVk57n2FmsoA5tW99ZfqZPWYvXFrcpGOhDe249g+5bMEP95igDLHUO3uGVKzuCju8aPL3bKs/qQ+MuXtmN9UqnzwFCl3pA4BMP9D0NsukkXseO5+lPH8FMow7wzDd9zMnDdkxb+6qvjfNI0/eM1bWRoF8e1bzhO6YxXsBc5Q0A7TiBGxNU8diHZzyISSxd8t/9Vz4bWzYWNrYM3O6zfY0hjT0bc5Z3MukA8VFbWj7iyhJLnAR6v503TP7HL+NsMutdp3F6Y/MA/MrfWIHk+gCVS3bXmFlgbOVTWZHZBWh2zZ4NtnKf5ae2IjiWXHi/A6p77sDsykoAauUVGN1WHpUvb/De0wD1QMvAZXLqj7z1nYfnePcZ4BzA3HHG7K7Xs+oZkrk3NqhvIeOOSU7CXeAs9nKAqrzu4HrnYqtLlzoAif/qi3o4ihmB9wtAF1wMyC0wgAf6DqAHqgeiTwDwUpvQ5gHjyp0lVvsw0VksdB6ZZSA6WwnjkdpQ9YSlAVC88tOea3/1Cd0Tqwvgfed0X7sf+n0A+gLP1Z/mkdQq2Cn4bwInV6CKoKrKDSC+s8CrE0BtADcw3LH7bxLwO4vdMdjnw2Rf7HPXAcq3b5eDx0LHIj3Xj8454G3UgWvf8x0831ne9eO19dqZcYL5Afb5viYD7GZJ0/jFd3YStd/GRn1aj5og6AXKC47ZPdMx330/pN6XfUPtvr7KO6/vCBCCxnYgPeWVvM+xw9uu2ejfjqF+zTK3ldaebhLsN4HmN/1Owr19wPP6CwB67PNTvv3sL853xlkHzjpw1oFHTwD9rARnR3DWgbMOfHd1IOmm3bfKBIgUIB8ozJIWWhqYN5EXuYux3mTpmnV+/f1BjPTObTLTgq5F4GEnLvZ5iylAY8Cy6P3yic09DJLled5EiJ/jAb7H0lgsKb7OgAIgOLYh6TF5MenCiGyCFrjQ4jWvdIwdTHOLjy32lMcWQiw+8jq3QFfegewWf1pUIy+LTdG9kR0EoMcsPkH0s/+7btu77/kOngM7W8wc8OruBaAI4BjP3BXZz4sWgxQDncQlNjpmQIsbO+hJjhooHshVmsCI2g65Zb7RpJ0DX+RXnkt7AL47S943ifNArSSGl0etRZVhlj978ZPloSt9rMBhsy4wNnBiWPax0ZPufP9njnTd585eIuHeYmuL1Ba3gect0mM58qQl+V55lkYL4cPq3eThJ5gnj9e7F3AQC/3w1F1+0/WT2Mv8o7GmyaF3XvePHUbS2zPCBMYKrmx3WXDPDqvV8+w/zFRS6TzAdxl+8om82afsF9i7+3OrA6WDUdI9YLwDkjtOHaOWADwPTKsPxkKnNFDeSbBXZtJ275j6R1orrxjrPYPDN30FLAB8scrZEQRiHkoKi20/ftcvXwIceIq3HyO77+WbJ/oOqpNCr60AlgVL8IQnY68MOmfSXRYLgh0oGQieqP17JspWkAnJfeU1bPYVwLIrAghwUT+qZ+7RsVQuPPu9bClBqHOCADzj8bBvofNTXzuUF0Zy/1e/dNxreQbs99396WvaR7599z+vPxi543d/7Gi/APXa9jB9n3rlYKTz8Z6goedeP4JrtNPKivJBwM/4oi+QMqBWH1S7L0+df/RNy4KCP/DcU2Ofl3/zuMawjpedBXAba7dNIIqF6MpTEOL0rUsmtTbZ/bU1LhnQaMmhNz4JOKtPY/fQ88GI179Ssei8kepfW/0xVva03RbMe6YrQClwatQx2G/kNfz4R2eMMwDZuz5y/Fe+2tfzJMHfMwCAd1wBCzxK24C+fe8zwBeo3G9e6QNILoUBnuaTlye/qRokX+W5Y+ujjXmHzboAvraOB06SPK/edD5/amPX0hBEaVG+/JHgtkjf/x3XPQGv+949k0af3//8cp8AcgzxfisP1+p338sr4L3vJLRJY5fX6kvfgRqzf3mMd50BsO99Yeps5xpTd5yg1P4z/gaM9Fx3tSlje0pRHdPxO1Md4AIwB6C3laeOr8wHEF8BbYDpngnA2nt5At3e9sQBLAt888wrk9pB4/LOw0bnvU7CvfN5nQPPSbe3UbgAmjuucUJ59YkdTtqbzLo8upcB99/xwUMKngc6ZYEJSknK/10fOfKD7d65Oys6cL57CDDfwXMAeopjI6+/ACoWDYJbqCD07D07gcrTxlfQYv1Gm0Brz7289n/jK+0a61swBJWC7knfXbufYJysFn7pk4cfumCECa5eQdbtN2cqn8aGAr9LY/qrBdhVD1lM1B+Yg5m7AbX5k+9A+OFhvoBuLPNrgB1gTva939jn7SMLv5/j+B1A54V+yrif877bDNC+9j3fwXMAOoB7QOpfuqhwGcd5v+hDDjn2dby5ZccD1SmF7SQOyiW7RLv1qWu/9d2KgkIGYL3/2EZ4f/Z+rX3uyivXQHrvZPLuAG8sciD5t5Jn38Fz57cFgJNt/5N/7A/fB5Lf5IHed8f1PXD/7/3i3x+g/3/6R+/4MgD9lG8/+41zvfysA2cdOOvAoyeAflaCsyM468BZB353k6AdaNtZ6E0igMJNIn7yLW+fBZaY6DzLLbbt7PO2r//r3z72YaC375qF3hYLvQlUi71NmJpwYWVaKOt6Tb52+XMLEvzvWkSxgNVCHuY6yeW+N8kq7RZp+8TE2rddor68lI8BHF/+7clfEy8sR+B5i9QWO4HnffcbiwGATjazhZgWQ7onnukWgbrHFsksBnUO8Jyfe/d4guhn33fdri1sFFhRgAUpZsBjdR/w0X8tTgKXARgtbrbY0acFTF6sByjy7IVFbdEjYAtbNNArYK1PLOhAF97aQDAe0IDGXWacb/IBGC5P7RZfu259RiANVvx4VS9mfAstjiu/I5m7gNtdKn7uad3j7sfb/s4dX+LnL3KA9UETPLAAF0B6C74t4F4D6LYB0POofffHLn3JAmlaCOo6gURdt/LG+uq5dGyAaP8pO4An6e8Wl3iX7x7lfWKhYx4D2AG9noHvgh0CoXdmOqB896ve2e6k3zGxsXMBoZj/mKX1l+XHb4zzAQsFAiwJZ8oBQDsgKWCbBzYAvfq2BwoIRFC35As7XblWlsqi4yZAYcmAU0SQDrn1CQJZgQYCGng382AE7juvZ65cJpigcxbLvs/SBEJWvgNAfOprh987ljNJaR7u5OW1a37jgOv2Ac/HSmGpOXRu+QRua3tdY+wdVhAE1ruAF3VFWfbMBV+QexcAMkBwoNoWZAHg7/47lwy/+qW/Kk3KA/x4qSGoI5UBNQLBNrVn1gHk5huvYILXdkeafWNt8pLGQLwPQH/+0kd0H55tZdm+8kVNh+w6BlN9SfkY7+4YlUv+HQO99h8w1Xm85qlQTN+2+mRSyRPosIIzDoDqU1+bZ6I+VL4sEkbSdFlx9D+P8+6x8Q3lnMYbMVLLpzaJfdp16yO7j84ZtYUF4uv/yyNP+13VZMC0BcRVhpXlLpPcJoCpY6mHKCPttP+A3p3TeKsyb2G7sem+uA10pozUZ4Bx/3UO4Jo0a5/kWwHwfOiN6/Zj+935fjeuG6nz3/w/Dr9vQZmY3OOp+psXef/6f+mx96Hk1LnAdfnmI95n9wU06Ltx4wCGS4J8gPunLxLUvX8EwrEjqvyMJdXZxuDqdXmhxNR1gRWACcxyYETvxfon78fdC9scgf0R+frO791Z3cAerH1gCpeXaYdPfmLqDjYxoHvabSDyxt7vEzMb+zoQdAejAdq+t1VGw1Z/30sH+7stIDsgvTE6hjMAnez77j9vqwyw34HZvNIbs1MRAO7LX5trArs7rmNIz/NPL82eIdsA7drngPbvfWnOcx0M9K7RfTSfKyjaJzC9ucpYyrxwsafw/Kj91DZH0eOJT87z5R/s2XYs9aIJqlrMc0ES1Z/qSuXRdaRVP1g/gD1fnR71izuXvqVjWDgIwFEPzJXUfXPA8lc5sfaRhxlnrUAPwR0TIPr0pydfFAwwynmZk27vd993D/OA7vuY45tn+jXbvO89Wz7q1wB630nAO56Me+ntLPQCZhv3n2sg51zw9xs4fxB43toR4Lz3HoC6NodpTnkHgI4F7h2EZX68I5aCxe6bfn3egO13Xz2UBffjAOXUY7znBYL1jnWMd5v3s/Wb3sfeyYLc9s2YwxaQHmDNK30H022xwu3zfQfOY5sHmrftzPMHAeiAc8cl914egOdtf/sfPPtvfuW//puf2uXbzz7j7C/Od8ZZB846cNaBR3+XZXBWnrPynHXgrAN/IOvANQsdgN7WJMLko8lDk/hY6C22tEhhstNEBRvoegs03z3PH8RQt9iMJTWLwwvEJ13eNcnhYZ+3yEFGETu7yVT5bgGZt7MFu1kMCsj4wOdmgTAWOclpC4Y8+UgNtoiNYdtnAEfnNeGShkUmi4bkW8tXMu0xOiyEYhe1ONT+FkjIQGI1AdgtBpGp3CUILVT1/QTRb78tfa8FxfA9r24AzjEoMRoDMdoHvCCtS6p8vHcXK9B+oI99tZO23Uu5PqNFEp7PJKSBmiSdsXUxewdYXQxhcuG79zd2c2mR6Qsckh8s5vHci6m+WOp9rz/AWAbECyQA8nQ8AEfwwLC4V3mMBO/y6sV6nwXzTcY98LytBfh+t3VMn51bH9VWf1QfgsXaho1V+Yzc4YtfHgAdCyywk2Q1SW9+5LzsAeXutz5sAPTF6sYsPbzrFygKpAbu8q1vw2TtmQKtD7/wJRWO8Ure3XNU11wXuE2VoPTKN69lwG/7eRD3vbLoE3u6dAB8QGtBG6TWh2G+AHzgdue5nwHm7l783jGc27p3wLeyAn7X/w8wu0D2rrdbEJAy9+zKH1Ac2Nl1gcXqv/M7tnsEZlMcaFGyc8pX6bSv9w5mOaZ2dR84DcjEJp/AtE997bBVUHZk1ve6Uxvu3qpvQHDtB8hNiYAqQHkFnNpH6p5HOx921y8tgRPKQ0AIILhyZzmhDguWmcXVT33teCZ9115qS6T+A0ZqtyTD2xo/kHAPxJ22vUCqXd4dwAM8AtoLRmjs0jim9lwesdlLvz6lutfvwN/uvXM7TlADsHzK+dmLFzfp8MqIJHZ9kuc+i9Dr3gWR6DP7XRlUX8ivA+4rk32R2TiGhPv0f3d/7bDuIKPed8z7AdjzDH72ElzED91zF/jRMWMJkAx3LPYnP3EAuMPQ3UC/9vOn71hKI2TsSyuAjUd6dZ0MeeOk8tZ9dK2eWeOlCVz5lc8fMtkHy+yxZ+bTIrqxYeMztj9Y2JVLwGr7eX43NrPgzqO69lJajVFbcJ+2uYInBZwO83tZf2BaA1b7rzKWl1GpqHye/MS02+6fHzhgYQcqKnMy1MOMX8Fxnd+5VJ6oqJSm+wRI7PZG6oa6gl1ufEpa3Xi5/dV3Mt/2d39jffDUKxdlgSc+OX1UZdBz6pw279uxEHhiBao9c5HuBhKPJP+7LmB53zHH2+4LVFtAdu9cgW2BkdjYFKkqd+/q3uFA8iTcyb0HZAZaAmxrI4+89Z2TFll2rGngec8A0D2e6I9/9GCcd+0AVsB4aQD5gfY7A728O54iFcWMYaJfqeHow3im717rfLVLf2ed70B6+yuHGTN+6MIKBVKxK2h/z6j3SO1TwIO6Ul0GfOn7BTCR8wdSUSkQwIFlrp8W0C2YsefOn3zvR+oDera1z65f+upg1xUQiZVqXFc5Ul6inEAa/ib2+e5TDiwfRvjP/6PpV3am+c5Gb+t/7PO2AdAXQE6qvXSlTdYfwL4z4PNC/4s//bP/7JRjvv151x+EbQfOkS528JxX+NiCrEAy7ykkBOsWOwAOKLeWNHPHpTxoLWcHxrXffcNMt86zkx+o78ib9xsw3Tus7wB1su2t1QiOY48iMM9/1nP6PyY6dvrBTH/337kPTA8U38Hya5l2oHns8z53RvlNAPo1Mz3QvOtixZcvIHoM9AJuAtBb+7vtOnVuZxmcdeCsA2cd+KmHtgxuPQPndpbBWQfOOvC9ALg1GTKJMKHAuAnsxVpoUt9kaFhwy9PwJo/z6+0mkL1tpCaffum+aOMW5DBOyPJZ0OgTwNwCEUlJvpCdj13QfYxE2Mu/eVlQfuHXDsn1Jmv75KrzsGtNzgAE3WNgOdDdd+cC37GNyh/2QawDEzJAevfTQskjb33nHDMLe0+/dEzosIp4Au6+j23dW4tZfMVOEP3sQ0i3X/uejxx5oOxiNAK5RhJ4MX+AF+TEx3tyYwa1MKtttMg5MpwL2Gghkt84UAjYCmQM3PHZtQE9uwQ2pm/HOb+NRDJwBniHyeweAark6LHksepnkXT5n7fx3+5+O8aiKslSYDffZAAQFlS/64Ow3gDoyb4C0jHHAAAjn1wZvXAB7F2/awSw8W8eRtTdC7A5ZbvY5VjfgXI7kxfQ3feA2/EXXRLlw0pejPFDtnsB6AO6bTLqAZh8tLHRgbE9F5LdnieZ8PpEYD4mtwAIIHX5wmLnj15eAnr4omJ5S2PUCZZPNzUCbOXqDCAeM1p+x4d7gfXY3sqbzUBlS0qd8kF5ap9r9N8wtu9eGOD2Dci7yrCt84C/I2N796IeQHZfGSkHYCemOfa5vI9Syi9fmP4CUqgEVIa9b7r/zquuUiQA5k9bX89/pMVfugQOkAbHGK9MANqkuyeAJPWGAPUFogLRecIDdqu7AH1BEqVXPnuuAHcqA3Ne/uvPvX6A64f8e77av3wB2LHHez+T53Rv7q93vjbsfobVXlDMajvlr2PJgg8T/NnXDoAbc7X22ff2A+rsA9ry9p3+6+NfmTzuDPTGA403qtu806ePeN+F8cuKofthWVNaE/Rw9xKIFNhTvilmzDGLhanvnTq4mPkUAwQsdP9TJncvrP6+6+/KV/22RW5M49IJmKnfqj+bunz3UrbeFYB9DDLs/44h17zXL2oaQGH9KOasYKTKnsR7G8WD0qSMUPmrE0A7+e6aI6X93pem/Guj6kV54cEKgPesybPXj1efu1bPXZBM53Rc5wkOagzY/91b19B+gP7ei8PA/civz37+rQIVANu7AhIQQb2ghERVwthSO9jZ4H0GApanfnftxsTV967BN7pnfbBtNwn6njdwonGlAE1gxXhXbyx30utYvo7tGYwM/wLAsoXD7AAAIABJREFU51351CuHvLh2Ra4f0E2BIAB82ssCTx3fs++ZHe/RdQ3n9Ry7P/YyAtqG2b0kzynBNNbmV757nlOOoWYFVAdoB3RWLo3ZA9Abt7evY7sexnLfq7/2C/Jt6xo7+z2AFoje9/Y3D+B9vrPm+680x+f9iXtHOQjq06+xilEHSL13HYEeAPQdPN8Z6N1fz9d4SvDb2N08+9n71L0ouAh4ETgzVjSvvHHU7T4HHH/u9cOypvpROpidwKxRGmu8tSwizN+AYmTWqVfUn1Qf9oBj9dU8qTSrH5WToBG2YPyPO86xPOPZhQVsA8+B5QBv0vsAcbLvfM9J8F8zyK9l4I9t80AHoO8S77zU+/wLf+1tv7V7oZ+M0nMO+P/3+tA1cH4TeJ50O0B8t8Tzvur94D3m/dU7kKLQvu1y64BzXuqk248grwW8A9DZMthnbYRyoICaXQnDe1AftAPoFF8EOWGlB0a3v7baulhbKji1Uf7p18x0gHYAd9LqJN2B6sDwP/0Df/yBHuc703xnnLeVZum7VtsOnmf5QL6953n2FWdfceIOZx0468BZBx49AfSzEpwdwVkHzjrw3deBm2TcMXMstPZ9B9CbyLfQYDJzE4C+g+jY6H3+v//br/8Olnrpt9AjihiATkoVUB5QtbOyx28wz6oPfObwPG9r4QcjwmIq0KdJk4XK9h+R0GuRpsWUJnb918QLk9ZirckhCV3lZELWpKtFj8rLQlsLb3tEc99bYAGet2jWgkiLZCKvLRzt3pTkCC3+iOi2PQhEP9vFHyw1CeB59Rdzc5c+52tOSpc0JnldssIWsw8GZizI5ICXZHrpYHhjSZIZxogEdAMGyXlblMWQPfyTFxs3cBBA2CfmM7nm9vXdoi3wyMJriyndGyYlb/eOJWkOkB1v9o/8+izQDhN9gR9z/gJ3sCUFHZB6Jh9qcfoaQB8ZTvKuS8Z9+qvnX5vvI0+/WP2VP/AfwIhlHOg6wNWSYB/P8uXHjEnN+zsQcjzeF3C7s4YB6Pt+QQ2H9/jyBSfVjmFOthwozb6Csofnx4e6Z9T9HAvwi80NAAXaAuvlFyP9AOI//pVDfl6gAB/46oD97gGTni+5ey69+nKM3OoRAFtQRucC+gGVzt/9yPeyKw/de8dTYigNgQpdS7AC24LrgBKs/tLo3rpWz9WiJJl5AQt86YGZvNPlSyDFrjagjZD1Ln0BDiT0q0/uoXSB/faRjO/4+ojqYMAlxjx1AEEtAmqowWBOqw/qq/er47D3208FpufpGVUfhzG4nl330nmVV31AQOthTbH6K/3YAORL9ngAqNWe2wYI2+TcAejA8q6Bsd+9Y5QHoDdWaqt8A9XKC7YsAKdyxx7uPPYX/HhJXWNt9Z9F4J6dvFQGgjcqg47tGIB8+9ji1E4BsPVVpEhLWzBhC8J5P48FzvI0pzow13v5q8cz5U3vXdI9URPwjuk5KbP6s/I0wFmA13oW9a9YySTtBS8JjALCS2sCbZYUbGUfaNj4qUXugLSurY13vfLaWK5zKA7s77OOr/5SaKh/I90+i/aV/4sX8NvYD7AsCIg8+rxv17PqHgQWAMc7ft49yy++MgEM8Ip1rOCGnX1njAkYrB71HCufxsPXQDYZ995fA1w++YlDeaGxdMf5r+N7n5X/nlHvqPEZD5x+6pUp38aiQPd+A4/Hcmgps1S+vOVLW9CC4DFguiA0Yw/tpDpXnSivpLrZLRzP7alXjncy+4XqQ3nH+gae9wkg77P7lufG2v3ufd1nY/DSqz7t7/B+U4UKYI6h3vGuhX3exgMdI7qNFzq1LBu2cmm1Ac3JrWOMV9YD5G7XGvZ9HugLQKaYoV8D6GPKS7P0UsUCnAfY7CB6c5LaCiUTfVxb7ek+AGop/VAiYeHAIkQdB15V3ntQpuCH6hQvYrLr1DcEq+zgG9b5MM/f99LBOCeXf4DpAeRL3lmABTUI6VLyEgxa3fB8gN4k1AVEH/7mP/feKVMe6JQu+i1owb6dxU5Kf2en24aNvgD76p0AbAx0tl9k3E8W+u3Pvb7ftsDV5pM3Mc4Pv/Pled7G8oQFyA6iHxYhmwpgx1AG9B/lwcPjfIHjmOmUd1yDIiCgvTbOlsSnsVW/BScKHqMuI9BGMI++xFa/VH+i726c1BpObTIwvG3a5lvePvaG9mOmB6YDtIHbO8i9A+tJr8c6513elsR7APk1YL4D59Lc0w00B6An34593vM82ee338bO7SyDsw6cdeDRh7wMbj0D53aWwVkHzjrwvSLjbmK0y3E1CTBJaJGliUKTCot6TaCufdBtAeb996D/Sbg3QSEv2aIIsJxkZPv2BRLy7mTbLZS0kIbhWf52T9dd0qtjeDWORGYL/x/43EyYhtm12JS717mJochqPljSbsLV4kkscyyEJlGladLFT6vFk0cWgE5eEiOne2whx8JpZXCwKZYnswVci+07kA5E75n2bM9o4+/v/sViRwsdu+85wIOHMA/LgIjaCaC839hepNotbJN2bwESyNH/JOGB57zGSf0CRYF5fWLvYi7t0tBA2d1TGnBO3h0A32ItRi+p8mHhLqn6rs/3F+ucpPvcw90LSA1kqs3w2S3/wJW576Rnf+mTs/juPlvEnsCeBaCTaLXwfr343rm7XDRZ3crXIlHfAStYru4pgBEgy88am7znCiwEIAOzSZ9XXpi6u486v2je1JjVnp1ngr1MTYDcOhl5/t4Y4wMqvXxhpO8gqqCFjhUEQH7csyXVjm28S7BjbJP65m8OlAdUYymPFPpiwQvWKC3gOYAZ+xxTep7FChDoXbEztksfi76yIL0OzAaYl8+DAb+l7/5Lp3bJX766R9JeYELlNh7Vq/73qWwA+f4HYJcG+XXtjjy/51+9EkxBNn+CYWqLH3rtYOJjywNkS2/eqYvlPEoI9750tEnPSx2rPmPmY/xb9JxglRd+7fCyVx9rY12zrWOpTJDCn/fhS//yWEjtPAoGvRO7b4oSIzm+7BewYgG309c9+YkDdALsAeSA5wD0+seu0bXqM23tA6A3lgGg987ve/1C5+++wAL4ejbYVexYyh8wxzu+vmuCapadBsUKAUXY+xamdyb6AbyucULXAUBOUMyvfH4AZODggHLv/8zhY19+gdY9H3LH+irtu7LYlUA6H7N+ApTufmGOaexSnzmS2L1rnv708Xwm0CGW6gr66L70QxOssVQdpp+rH/4nn5vybSxVXwu4nfJ74TcGNO252frfO23Y0MlEr4Arygu14cZ0w569++oRTAUYF3QwQSh3Ls9iwLhl+zMA9PKrFzxQmffceMF3z8ZqLcpjwVYOmHOev2cHDCRJ3bHGvFOmyze6d9JuP1D9FSSC2U0tZVjfC4wlh95/necdNyDfuy4M8Map0mRNgm2t3QDLjSUOlZsnPnl5rywvbWOMnuuoXDz96SOor3Lqu6C/PfBl6sGSg6+MmiN0za4PpB3J9gWgtwGo29+xlTmQtTE4oJIk+/4OL6ik++7ZN54n4V65KHOBCF278hiZ/i3ot3SNEQDp2Oft44keqFragO6Y4gBYoC55cbLl1YUJ4luAMlUHvusY723Y7Xm4N4/b/c9971q1AwG8M9/4pUuf2TOozIHPtRPe551DyQSIPmOS5TtOVUuaoxJy1Z8B2TBWa6cDxhesucCsmUut4I4JhFiWCMZjO0CGXartlj4wbZdsp+zB/1y5Acab+zZ363vPh8S6AAi2YuZ8NgA8sN3xAPRrIH6+Lw/0nal+SMev/W3TFt/y8/9290KPhX7bc5Fz+/6Vat8Z5/saERCb9ZV1kj0Q7ZBQX0GDwO1D/aR1i9VO5z26xhWUaJAdOk+A9LUXer9HwWe1Y2s9xj3WlyhN1Df4nPfqImX0boj0UB/SWg1LQ5Ys2mB9AlXB+ogdUK+tsl4IxO44oPa+3QSoX7PXA8l3NnpAO6n2a4b7tWy7LfY56fZzPej229m5nWVw1oGzDjz6kJfBrWfg3M4yOOvAWQe+1wB0/pL8rJoABJwn89fWAkETi/5rcaRB/LW3+YO26/+bDJSeBUIsmWFDrUhhbI4mNm08DC1etrUI0iQOUN6kC3toZ3cdi5h3Xz0W4fnwkfAEmNv2iGqg+j55nHy/585MmgLNy2uLUS0yFSDQwpvAg+6pBZGYLPwNyT22gC1QoMle+baYZcHUZFAEN+YSQB0T/WSh/8GyYeh58z0HbpBu9x3wM2D68pvEtvYdqE7O3EIG9iWgpn3AamA6qXSgY4vmmJIYt/KDmQxYJdmO6Rz4tjPRSVj3PyuFAfYW4Idpv4P7wPPywse4RdvuoXsBRgfk7YEFlQ0mHP/iYecv0K32ieXVJ8Dc4vu+CB9Q0fF8WQe4KQghj9Hl7wyUJYMtUAGLdvdKx1gGxpJY5ls+4OsC0AGlANQjqGHz2B7J9wXyApf5igfwAmSBz57N4Z3+8lfnEyBdv9t1BEfw4MZSA8wC53e1AnVjmNHLX11gRfe0A/ZA8/JdniqH/i8vgirIoJNhB9gDj92vspcmAN3+8XpdLHk+6jvIXx66b0C/csVSVw79336y7Nja0vZcBB9oDzvYjo1s69yDWf/c64cFgvz1P0WC6o86Jaih92H3OGDgYv/2TqkcMLtJ5NcWy4/AFaC9IAb57j99jjrNX32CVBYbu7KnIlH5lZeA0c4jrd99dT4lGIuqR1mvPkSQxLDOF3OyMUL7arNUNjBaeSwDGGvHvJWBcP0PdNWvAYf2vjUAvc24obFA7/7StKhbOr2/se2NLabev/C5i2XNk584wN6xjagvWkoTrDUEKnW/u0S7fq3yoqrT2GxfqK58SU0bO5SXxl+p5gx7+ZlXj36mstS/Y42xXSDfjy0qEKdy6fzyVr6n7+2ds56Ddw8bkPIyntfrPrsmVn3PmIT7yLfXNldgBm9rrOdR/FiS4fYpS89/QPzFhAX09lnaQN/KrvwNkPxPvqkOIuhC39L+0u6aghK6ByCygAH1vTHrKLU8dZGtrl5UP2Zc+/SnD1lz1gJYzb0nyNTPcTGd33cZE3eOd4xzBIMcagvv+sjx/isNfuHdD6l0lgN97/xhrMf0fezDc+zuMV4enF89OGTbl2LNgK1X4wyBIdMnr3o6eXzqEpg35besUjp23kF3L4Bn19EWgLidM1LjL3zuCHgpfcG3ggCA/8PwXoECbaTV289qpfvd3+GB57Xjyr5rUuEKQCWrLrB3mPIrMMQ+FlSA/PJirL+D6IITAPkjK//Wdx5APSaz+U/zItf0nM0dSltg39SZJeHe+QDZP/sTf+M+4NzW/klnWQ9gZTZfmWe8nqlgPeCUuVXPj2XM1IvVj8zY8skL4A3YxmJvn766tlJ/ZF5FFr46UxqAeAHVo5CwAqlJwpc+FS8A2Q6gt1EvEYgBWOu7wAoS7odc+wK7A85uAtAr44A089N5To89cx8z3banAWDnpb77nPf8qws7gL6D6O0DoOeFfsq43/587GFnnT/I4xxgPsD4P//8sf6xK6gIWqR60xxtB9LZmNTGtX8A+Ki2LNuXxg3a6W6nZ52F1Yi1ERsig7SpTexe5/UPlFYG9F/tvb7E2gzrvPqWXR2jvtDxlCZqx23Y54DyyCbTVt/y9tmoSCCi2OpznQdQ3+XXd0b5TeD6fqxrk5jf2ef1Dyf7/Pbb2bmdZXDWgbMOPPp9Uga3noFzO8vgrANnHbitOiDa+BpAb5tB+gLQG5AD0Ft8afLOb7zJR5OTnWX+IO/z/XffmwC0KNViw7Xnt4UMkoh9tzjRgglWzizePP3pY2GOHDufySZvopOxecgEAhqaTDV5CyQga9r5OwvdhFE0dcB4Ey7+7C16WEQpvyZ2TaQC0FuA6z/+6Ekpdg5Wwr4AJ49tpM9Ky0RSdPUOoO//BaQm5R2oerLQv3/7lweB5yL1dzZzi5uzCLqYX4BijE0sczLtwHMy023AVx52gBPgybAsF9MO0NVxgV9tvH+Be4A8suKkrPltB4zuEu7X3tNA1763CLuDxJiRAKcBdZe/pnvErOXvTkK9c1u03f2Q+31IPC+GV202cOEaQL/+zot1fHcXmDTSpsvbegDJ5Ssa4GhBClsfsCRwgZd9YCxGBgB7Z/MDUIHV9pEuB2Yr1/KBmQ583p8X9nT9DQ9zfsOlM8zBBdQCywHT/R8g1X/8wQHa3YN7xWLtXviRu//dd93/gGls1YDm0iNBD8zeGefDOF1gHwlwUvU84NW56nvPbECBu5d7rV7KC+n5a6BcwAlVgPFAfvm3jzoubWlg+mNwK+O5zpKlV+bOxXYHxt8nu73A+MrOc2VZALgGdEsPix6DfsDxxZ5332TVgdiVt2AUdUGgDACdH7uyBnYLBgHkCnTwn+chUKKtvm3vd9gXdK5+rmeNYUyhYfdUHkno/JgXaAhwA5xj2gLQPcvOUU+7znx/9rUBzy0QVz4BkqXHB9q1+WMLxuueG0eN3/izF1Ytxu0e5CSQYOrmhy7ypPUR5QkgPx7Fq7/umJFOX5Y1jSnGG3kxdS1Gt29Aqcf/uwEM698qq+5rZLGXfzzp9tIaNvunvnY8x65ZXe05V9bqVt9rbwC3HYjmZTxt8OlPH++m6atXUFD3RAq937ucfPWwfrm+tfQqb4B5190Z58Bx/9XP76z0/f8+u7fK2T5qLJRYeL87X/1xnLRZAwxQ/e6PHezu6oP3zYCgi7ndhhkO6O278aB3kbpVfvpOnhxwP5YBT70yZTWM65VvAXLq/rS1p145nkX/6Zen3Jd9SXlVL0uH0lP1YrxnX7i0Ae/Pjpmgk2cufeak+96XJg1BfMBwzN/xL1/WCdjp5P3bKoPyOoDrU68ctggTtJCawfJcJ6vOVgUDvO8H676gmcc+PGUaQFkgq3bf5w6gN54PSKkMHnnrOw8GesdhPe8M6D4FHwywuwB0wQ3l5RpAb+zPcx2Aji1evrHWScFTvaES0FY5zO8VgMv/nB985QBAN4fbwfPYjd2X5y1IiOJB5d7zmGCHBXj3LAVUArSA4/UVnbcrGrVR/cLs7HiBmtWdrtH+go/q4+rvh61eANsKHO4eAehkl9kNUCXrt/4NcG5+JNC4a5UXdmGjhrHmmFTEDlb4kmDvE8PcM+w5seqy7R7qu9/9Dspjl2OwA+rbN3VsKZQ5bpit23kA9N3f+JRnvv052cMq174D5+z8WPoBz62D7ASC2qeA67b6iH3thYLfzlivbdZOBWM3VtEuD1u99X0Hya9Bc2siPh2vXVMGrA/ngY5p3n6gOrb53p/s8u7Om3PXGk/tNvA7AJ1lHz/01sqA6L7voLl+t76Y5HufWOqHvPv/cAHKW1sDmvNi35nmwHPA+TX7vGd7ss9vv72d21kGZx0468Cj3ydlcOsZOLezDM46cNaB7ykG+j//Xz7XgH2PNm7A3uCfX17fm0RgA/TZYH8HyffPazC976XdBKKJh7R4DQZOtfDQp/0YGCOxlWRiC3hFJC9WlMhmrKz2N5kq77t0qcVkIBNWeUAFML00MP+6L2x70u2lWZ4wBJpUDWvg71wW3ADsTZ52WfcmOAD0nWWAgW6xtEVK2+4fZiMjv0dnNwG1b/dDN3k6+5nvv8UPbbfn3DPH/rFhdZIwb0FzFp+fe/1gng+zcfmb7yxG4BbfYWAnEP2QsF7yyx2P2T0yvwtcAXwB0UlSA8x3H2xgeKA5Gfd+k+O2vw07F7AMGAYEHiz8Zy+SoeOxu3x2MVUPpuP6H/u6csFUJVFLthYzD3MBgAFEv2aik3AHcgDHMEL5+/EdPcpw+Z0DAXnXkwcmZxzQAbC+LtNhKW/PDmsZY3f3HwfE9oxcu3P0p1QCyLx3XNdtX98xpgGe5FyxrNvXfRzBFh/59QPoJVVfvQSeD0j54iVIg0Q8mXh+8NjPjuNDvrPsyzfmsLSpI6jfQPPqWsfsfuKY3RQTANkxbLxDlAtp7dKp3KgCkCPfvczLG3uFjsOydy/9P8FfC9Ar350L5AYq9nsPGgFcVhaeARWCg9W36gx5/KOdb7L7fMqpClSuQN/+63hWCuqswID27R7z3ROQG/jMO1u9E/hBbUHQy3i1f+hSrq7ZOZQLBAph8HcNPrwCNgLtgOeYuRNAtMA4wCYQEtsW07a8T5DFMxfg0X20dc8Widsqw5F1LtDv8Y8OyAmsBxr3ru683u+V6bBzV//EoqW89bv8dk5tfrduwarsmvW3u83G9O/L87pF5M4pnUC2xi+NT0qzsizvLQQHGHbvU97L9kBgS2lT8mEB4NkAuvSpI9m+glQw9SdAa71zMP47pvLVH/R/1yPhDsQX9CL9vvce6LlgRgPQgebAbWzo8gHM7tl1fUAywB3A3qYN1p7VAfLyFB4qc/XlkCpf1+J5D5THwu343g/Y9yNfvgKkhoW/wGdKCN0f5nhjQ4xsaiqdJ4BAcEL32f+j/PDsZ2c73jvV2WXl0v7yAfwWlNXvaXsLsOw+SewCOQWaNf5mmdRndaG8ThDFZktQXR7p7Nr9um8S/uPBvqxigLTlITC08uj/0ur/AamzGVjKMBNw+sS9+5jfjaUB6ADrxtijULDG2qyigNW7nL33d5/JqAvgTfo8AL3j5xrvvcxJxnZptbUB8xegvYP6JPKx3rGXS4dke3MB3udtXccxgHTqAhS6AMnUKypT4HnX7vvBwF/XuIl93tb/pdNz2tut/mgPoPEurJ1Of373AoBhrQOdAqF6dgIqBACWHjCdWhj7nX0e08b6YhRACrZ4+tMHaxyjndoGMKz7UP96T7BGKF3jPTLQnUvhbFQFKtc1X8M854Mu4KHvQPT9Wdp3SO4/9sx9adXPYqb3jHcPdcD6Lt8uoAJovrPXAe4nC/3252LfL1LtAedY59YaAN8FCTZWaC1kV+Sj2lU/yCKrttV/lMJ2EkJtuuNmDLWUuCjk7DZ7+/V38gCygHN2H3Ry8BjngnX4nfe9fdaRsMwB563P+A4016dcg+e119qzPoJCBaWS3hV9tgWaA9AfJMH+IIY5IL28dd2uz4sd+H4NmrcP+7zg+lOd4vbb3LmdZXDWgbMOPPp9VAa3noFzO8vgrANnHbitOiDyuMkTAP3/+Ref/RQZdxJcgcGPvPWdA3jzQW8wb3JhAaOJDib6g6Tc298xpdXEosUJEwPR+7u0FnktQPohYb7kvDBGTaYGOFuTKdHIu0TfLMAsD2HgeZMygDuP0uuoaZOx7rfJUotrLaphGbRIVv4wKJos+V8+dgY6L7wWSCzAtGiIRcHzfI/KBpzLIwm1Q+Jsge0tGO1S7j3n0/vq+1O6ne859jh2KObNARwvWXBAS4seLba3SEqiF7AJQAQi7lLR/MwB2EAt4HfHuj4gbiRBF4jbeQEgmKoAeOxRgGTXACTy225BBvsXcAtEA8y3QFqbkCdg4y5/TIJYcAFmce2u38pmFuqXtC6G2u5/XpttX4vUu+/5zj7nx0pGdleYqC9iEdH9d6/lnTdoi8bki3t2QCVAk2fWYhSQtPQAn6S2MYUrCwxp8utYvBjangXAlic3CXHPsDQA5GT3/U9yH/AL+PaM55i7F/C86/Ub4MojHcCPsd75ZNjLC4lxEuzVKWz1g7G86rCgiZ57aQOzscyB8QBcfukk2wGCuyc99YDZ//JF7n0CPRZwXx7nvpcnNWZ+x/cfqXOM2/LcdwEr6jNGOKWGnanOK50svLYzbPPFaj8CEFbbIovbNWs/tYvKpf0Y5I4BFJceqXABAurfMOtX+xNQ03HzDJfsOaBc+ZIA7njKFgItqAsAbzGc2bEIiBAoIzij+1ZvBQgM+LuAdCBpbRrIiQlLClmQjKAZ/soYl+WV3UMAaffD6qa8Ne4gid6+xjBYyny/gabGHMPgXcBQ/VELw30CZAGmwE5AevflXS8/O+DVuKn8Y2IO4/YdHzz8hEu3Nlvf07hk/J7f8cFDKr6yLX/Vgcqs5wdcrY0NA/3uZbwh2Ip8u35GIBVArvugeAKcLt9Trgtk1/Ztu3UFNnvp61t3Bjq5dyA0S5LqSPff+f3nE2DeJtCBWoJgGsxyHs8UOEaafbHMvVtKt7bEkmAkya+k3DsHA70y6b+O9d5RJ7HYgeW8YYHkAqbaJ02AM1CcvO6wuTdwn994dUqd6brksgWXyHfpTb/woUs6855YwRzVjWG5L5Yw7/PaIAuCec+ugJ/xzL57AeIbE3fO1I/FRK/O8IHvHozdx999BUGUHka2tspnHIC+A+m1ayxzkuwsWPb/hi2+wPZA9cb55iSBmIEiAZiY7gNaL8D8F1deAdfjC7/k9oH5JNX7Dnhtay7BzmkHTTuvNLovkvBUC4D1fQb8YmYLJuj4rtO55hmpXjV/+5N/7P9j739e+MvuO8/vL0ggMItkk0Ugi1lkEwIRMwRmV9CYWUzHgiHEOD3YYXpgGEdYtGhLlNDUmKpWITVdmq8pudy2LMs1Uqi2U2gGy2OEBeqOsD3uBPfMKvQim6yyDLNqwvP9OY+rd336q+6ZQPpbKt3F4X4+98e55557zr33nNf79Xr9ax9hnzcOm2DlBUp3XwQxedb2jNtexKxaBMdMG3rnce8AU5ifvkEniO4oX3Sf289zTGCWYGjjpsox2188LCFG7vmMPZ8B9MZPlyz7kXMHuM0+J8h071PqWQ1A755vD3NgWcu+79wrQHnP++oauLbHs8aHGyjHXMdofwbQLdtHUMWsPzLutpcC0P/Nf/tv/Ofb5/hVj0/u9PEcM/73Ac6B1/X5vmWoET4z0Odb5LxT2AXV37aMu/35oHv/CGqpXwoMNN+x5zrYRdTvJ3Dr7Adwn0CYp3VY6IBzILjnBrl26z2rLPfxAdYlATE9CwTD7N/6cO+InrXN/wSgF7TUsudtAHfBCObDnj3Qt4w7tnmJDHzgONDc780834B6cwOUKe75n1ffB+9018HdBu428NonpA5eeQHyrjvtAAAgAElEQVTudNfB3QbuNvBxANAv8Pww0LHQRR03WCc/1bKBfRMPIyPeBPe7D8nHLee+2ecA9QYMpKyaDDB5QOoOyHyB5mtSB/BkkNRETROIgPCWDbAM4trHBFfHtX/bmxDazDH7GzCWMLVakjytTE1mNOHVxFcgWZMcTZhhqTeYMWhqANU1GTw2OGug1bHVp0kYnoV8MbHlTcw12aOMBrau+QLRT2oydgPoNwv9k8s+39LtAHSe4OOTeyTVgR5bth2AxMuWhDeGLL9pzPGRxj4+1HzJgXy8kR0LWK8tAskuwPz9f3zlSZIaWNLEPFZx58JCDhwL7Ck1KYOJSxbeMRt89B8rovy3l7HfQH4yzdXXgOeHVSFhqPJVBahjoDexuhnoG1DvGJP9GOjDQnz3wbaqDwfcBBTwJgcWYW1XN4E4XVPrsXutH4nov/94fg2b+wBB6nRkxRfbGJOSF/g+Bgh93dPD5K5cjtse3+3TvcE0Hrb48VEH7tcWKCJgnZav8pNZH/briweYPn7WB4Rv2/aAr03I2/7T7s91dJ4Bwb/+w1nXviTmOwd2OOCWTPb0oQO8t11wiXYC4G870Lo8qSMMAPDtH/3Yu73jjp+8+yn4RFmAwOVNIr2yAvhZFrA9IIuOsY4133rvr7Z3zvLcwPgAmMdDfpQOTqBC/4ept5QELpWDwzrWPgQJ9E4C2NvO+sSEKil47al33AR1nHrpui51gRMYAlzs+sjPzyTqCd6gkuF54z51HsEBlDYwc8enmcTyeQ6SGMYirS/37m0bX+gB8g74R9Wh9kauvHdyE6ItJ4jkTLo24bxZ6Lycy2/u8WH0to6cd9vKR/Dc5b396w8QcdjTxzcaWDtS/sdnujw6HkjYdZUX8Grks5N9/uLvf+R7p++avuvan3VE/WeYoVnkHDYqtrTAnq4De/T5+U0VoPNiFZfH+A8X1PAf/aeXL7n7IdiidVcgSF7YB1QnL9+27k3PYcxx99r3n+CDtgk6AnK7xxQKtge6ZwzgcOTL3/jwEUBw6qHf5Put2yz6jgUI8PfmE46tju09bfAE92Cb8xmv7uq3nQtzdoPslc07nrqBoLn2Ue/qnH84f3FlEaA1+7314VU/A5af/oJRDVDvvmOka3uuByAuWK17IgAFAx4LuPMIJuvYeae9/YeTL1b3KEe9/t6UQR0JavNOxramENN39QbPSbsDvTuHd3nbx8f6S9+cb3vvcmORvv37Xg9A79u9fEil62euAbN9S6l3jlJl4ond+KnfQFLrBNRWBmMD3w8k4zsf6X3y+M4HNMaodp7yazyywfP/8f/ofzgAemBPx1IBMN7qGcWaRH949iNu3NN+gni8L7q3JODJL8+z6MXDXqs8ureklnu++yaoDFsWvmua+l0y0e1jPMj2qyUZeW3oPzjlAPz3v2XlE5hRe6B+VjtrGbAdYAW4Mk51/8i9s/LZqmkTqH22WY+1DkAHtsnXtu2DjqX+LOU+Xspnv3/r5/+D/1cy7rcX+qsfl31c039f4NyYRHBv3zIjI778zM079L5h7VC/7tgt3e63/x1X/8Mgxy7vHeE9vecySLzPO+QoD1LnG7u6E4TjPxDdd9hmjlODqH9inCNmPLPUMdE9FwTG1Ec3kL77busoRFj2zG2uq/mgQPHqwdxS343Nh5Ft3/LsOz2zy3fa0u2Y6Zt9flv4vfr+d6e7Du42cLeB1z5hdfDKC3Cnuw7uNnC3gVfVBhpUPcu380EHojdoapCTNBUGestPffozM/FACk9k8Pat2iB0A4Q+7gOXt0eUQQ3v8C2vhVGwWRF8PVs2mDIIM1nDA4+kYxNu/efd2OQnL/OOM1FMXqz9lL00wP2RkG8wFDjWZEaTIE1qVT7X3LV0fU1I2U8Zna/JFAz0JmNMkmHck6k0ob5B9Gc5dwPSLene4NQAdQPoNwv9k/OcMRFCur0JcQzSJh5MUpNlvzxXv/K9AR5MQmKDAs0wtrG7AwVb8iInq/4MplsC2km2V5YBhA/oBgQDwg5r83glYzACqTBWsZflzx8dQ5hHekBd5wbqth5rt3rAsAM4NOEL4Ow372wBBz03qqPqiydtk+A9U8jrYq613qT7Zp9jsvG/7XcT3hh/pAqxwCsHtvF4f774Rw9Z+QMQk8onRw6kJlHuPyY4cLjrxDAHnrovA6gc1QFANf9pDGj3APu5+gZkbx9vnuokuQGtZKFJ+pNkB5KT3u5YKgpAOvcUcA2kI9mP7dxxo0ZwmPGSugUIA9i1N6AwILs8a2Pl0+/u0QQvxTo9bUxQB0Y0ALr1mNrtO6DXYftXlx9hmZ8gFfVOXUBwg2MpMZSHbe4F5nXPf37zAlMA9CTS68PjKX48bCegZHmLa2OAf4EMXfsAn+/+6cW01146b+crqOUK1HjvB3O+2vgwyI8fPOn9uV9v/+HDL3mxfQfcePEIBPE8oCRBol5wUNeMxb090ytvxwmWGGD1xT+6glaAMIBz/tD1u/rnMD5TnPjckgBPQv1YP3R9PWPlLTCodlD99s6t/Dw3qVOQ5O4clbF6m3Z5wEM+zt71PHr7NgFmbkCTnHn3svps3/Yjh9p3xLBU3/pwnjcA+gng+I/+03mGlbegvyaCAwcD6tqXgkjXSZ59ZOKPlQHGeHWBXe7ez704ARDt0/0aOeWew+faBgw97PCuo9/eRVQntB1BNNjhXX913fdY342sSCpL52Pp0/kB9CO5/vUfXgoA1QU2PEl+ARGVQb+sTQLju7YpQ4FXp1/1v/ptn3mWvPVQAZggjuMJvtUEtDdBRED9C0B/4+HrLdihttF1CfACQAPIscgn+OC07/IBdJOPn7IfX/H2w0rfAXXjAZ3KwQk2JbPO/xwTvmvqHKS4S5Pflx8qCRSgnKv2CWDBksd652PufTuWRYHVJ5jhYrcfVjUZ9NYBp4HnWyL9Zezz1gE75QWYtk0QL9Cy9lVfrj/17V/aAHrl63j+7IBsZfC7vLHOffdv+e/OZVsAOmn5jsNAH4n/85yo7GNv0HP0nT96sOk/91DY6N45X0ts5/IOyAk0L2GfB+x0fgEt1ft8T37tuxeQ1v/6BgWVUY459wpb03hMUIk2ghnKCmusar7xCIDsGmo7GOcD/r/3J5eiQccby8jfs5AiRe0HyL7LIjCltlU9lW95AfE77wbfAWWk17WFrRZWe6hOux/Y58Zv6pyC2gbdntNmtpf/BtQx0LeM+wbSMdABdAHoNwv91Y/JPq7pX+Zx/gycm1PQ9ynsDNh75oJKAsTqR2wSMM+fgfMNnvfNxhpPUMs8E864bNtYebdsdnp9dj93gOaUJzwrMMzr1wHLzSsFTleWzQA3z1V5gOZbbbA8gONbqt2SlQJQvfX1zfopb/TeG5VB/SlH4DlLwA2WA8e3P3r5Ybv3H1i+Gej2/6X/+Bv/9xQpYp937191G7zTXQd3G7jbwN0Gfu4TVQevvAB3uuvgbgN3G/jYAOjf/yf/FHhu0FTqI7/BAPm/Jl0CiZssaLABuDU4atlgpomqJhYATAb9Iukxz2fSYoHnlltui+QfeS4TfZuNPqyewwJpksmEc4OwAQCO5OzIth8genzPD5Bl8AX4b7DTubsGAya+xk16mIBu/wY41U+THE2kAM46rwHpgOyvv/eRyGWTfSZhyDK6DpLPBo/V6xXBvbzCRG0D0ANWbxn3TyaboMmQzT5v8gH7BwBMipeEbJOe5HPbB6P2kro+S4AfufSA6H4D1EtAdmA6kL0ETMISvybbjzwzwD2gi+w2Jq6Eaes3gB7jFjseWCwB2IFu2KLOL2gAWx9LfwCQ45UOiMFSHxne178zAJgJ91L92zqT9JuFPtt5rx55WD7ogK369K6nzhfI27nrw8DBzQod8PPUV5PZGGIArPGfPfXW8SOlfDzNSZgDYIHG1YGJsNYH8lLpAHh3TPXZ8QOOn9+CHNxH0vH80wU0mIDHhMfKrg1WRmxyQBo1AW1MUAXmPWY6n/LyAVTzFcdAFxhA9p00OKlwrFnMdgC5doUFDbhXr9pgIMYOACl/wSztu6XJ1U2/ey+UT7/rp/oEZrvf6qXf9a0dmCAohcwuBYjqgV+9/u1cmH58i8nWu7e1B1LV03/PxObI/x+QlIyvidHuqWANYCugkax35Rsv5KS9DyhDnQBrmQf65HWCPCqDYAl9m1x++/Vc03cFZQDVsW4Bda3b0u31xZb1SzYLvK0B6O0j38nrPBsAybw+R3b7jQ/ne6fvA9LiAm5sH3Z9sve//ccXmNt7H1jYOx74ytIFADqsytPehzn85gcX07k6FUTIx/0CbpN+/tWvXwGCrev+8tfcEu48rTGHAd2YytV/52xb+3Qf5xnx3sPfdNjYb314MZ19f20VFKBy/z2b9eHa4JaI1jYD+LrvfZvWJisvL1WBIuO7fVj67tE8w7768EPGTOWH7vo8FwRVCZqhzNK2ke3PeuL9f/wRSfbep9OvY9lW5gIhjhIC2f3LY/zNDy5Lgs4x5Xzrw+tap87Pu0hwl3f65HfaMY/2AdsPo13ghcAB5Rup+ANwd67qboDOw+gbG6SsmM435rYwaZsgPMA34H6Aj4JpjuR69dk19Wy47vVRBiDrDfgF4Lcsr/pG7V7AAR/xYaG/9WjDAZ2jLPHWhxcT2zu5feu/vYMB2C15gEu+scsr4BmADtBu2Xd53/H/+l/7mxMo3Lka/0wf+cXXJx+gedtGArxv9dffu8D1yqsMrRMgvM+1AXTrMNCVpbJWxqmP1CNi2KeYcTzkfZ/Md0VS6sd2pmOAvYGvXUeBz4Hmm30eqD5AcZL0BzynxkPtquc+wNp7fKsIdP8DnLDMtXXBUbUJY6oBuE+70S88t4BXgPhLleJrDzl3THZ2GNQkMNEbuykDOwD9A+hWGxw7hHcfQcmj9nGCtI09yfZvhYDaRAAZlvrll35S6zHOAeg7v8083yB6vxtXbnD9ZV7oAHTgnHE0EP1//dd+8S9joZNsftXjlDt9fJTKqAy+DDjfbG/WcPV3v7eVX6k2DSwX0N/x1GyA7ju4v+3y9EwpT+8JATm+ebDIN1P98kf/1g+mD5dYPLBx2HNGWOX12UDlzvcvshYEppvz2Qx2IHr9s76Jzf6yRCGi+bHeGS2b7yGBD0ivPKTaKx+1C8QSyhelAenPOoD5Zp1v0B37/N/5pb/1H97s81ffB+9018HdBu428NonsA5eeQHudNfB3QbuNvBxkHBvUAVA54EuUrfJj6JoA86bfGnJB50En4GPKH8+d9gBTTDtgcj2izM5YX2DlmEcnOOaqOKJ16BG/k3Ede7WYyc0kdKADRMQsM/Pt+viuUUiDGgumrlB3sitH1C/yYsGJ02qNDnG69yAqEmo6qfBEuC8cnf+C7A/YHfld82CB5pUc53SnhSqHsa7/fj27cjrBpRk2wUFiNi+AfRPbtDLZp+PFPA7359JxQGokppeIDrPORObJLQBoVuKPbAykK5B/mZ987lu3QCsB+Br/461X2BSCYuv/bZ/82YsB5aUKg9AEkC3wXS+60BcvwMngcjOjd1ZIiMNYMT4w/AGwgHUSeCXAGfVKZnYloDw+nmT063vdwl4DlC3X5P+HQucIwvf5C8f2wEODpDDo337dmNZb9Y1AFk9kULHLubbiw2N7Qz8BkiTNQXmA8TVpbZCbpuPN6lz6QJsD5gLfG5fIHb3m6d5z0RAU9uBo9oKQBgAXf7ajPqYgI4je4/l3DHV22aut6w+Ozf/6sAAwD9VA0EDvOKHpX3aa2UToNAzfXzkf+/PLqlybVhQFql2jHTXht3euepTJNw7R3Ve2f0mW05lYgPK6gV4LXigYwbkOGWnTkE2nVpBk5aYgFjf2hOvacCZ+0q1QN8B6ruX2lFga+fC+udvO/K5Pa/e/u7VhoHm2MZYvNq6duucG0AXTAFwZGtgHWlpDO7qjs9zQJNgu/pm/RTozYf68nc+zxPM8749sLB77vTeBWTN+/z19yZPNg6tH3b9uW7KPWPlkG3E8V4HOPauN1nc98aASu98/3ouAO+BntUHOefKTTmjJQZ6Zem7pW+gUSIJzP3WD+b4YaAfdZJp74f1rB0JdhiJ1W/92NJgVA1ePGTc+72DIdoOSKOSUR5ds/qY6wkIPgCdZzWGtnao7ms/fZd233q2YrKX/xW0cjxZpw2ec+sD5T9S4ALO8jk/YLP2hkXPdmQsNgLjT6CM4Kvqhr/4eI6fehnroMOqx9IbGffDMB9Fod5RBzAGBo6CyIvHu5paw8iaHz9q3uGVpXwHKHzzgytYwDcwdjqVhZGxPtLul6T6Ac+75y1JX3cNGOGk/y/Afak2ANIBqNjkfavu/UnCk+EdlYjGBAck7ft2Am4OSD7lP8pWteUBZE/AxbDGP/e7l2Q6Gfed+I1jEI/dyi++Pu/iLYM+APzxUW8JYK+vAk0DzMujsqQs1Tc+Njs2OKB6wJp82uvDhzHPi50/NoYzcLb1GOn9dl4WT42JyhvDfoPzviGA6BvQVzZ5zvV/+jMzbgOgW3ZNnbNjq+vanO+n2sq2jKptuG/6LSn1zQodgPoEnO1nAL/jxlaeq4I8+l0+laPttZGp3//k8R0LpMcMrY3Ps/hIsZcHoL1yznfxab/DQD8KZc5hDNn6lptxuhUJtsWYIIgB0c94rfthbGu5wfPNRt/geUtqB8/rN8MceC4IAvv12S8dCz3g7Of/d/+H/+ntefzqx2qvepwYgLoJEs+M8wHPDwDOYon1Fin2Ld/euvpGz7jew0B2FnUvA80tMdoB8v3HPDd/0f9NlDCfQWGQ2qC5IOv1Xd9KnrOA7soPOGcviHm+k/UxwoHU06/P3JQ8L5XELzwsBwHngdz124Dz5scsMc7bD+EC2zzWeKC5wJgJjvn5Xx6wfHuvP0u2b+b53hb7vOB6qoOvuh3e6a6Duw3cbeBuAz/3iauDV16AO911cLeBuw18XAB0AysRwhjoDQAaDDQBQ/4v0HikrQ5D2oTvBnBFHM9E/ZlcMaHQgGdH+89A5EvfvKKJAcfYKq3nSWXyYyaW88d785uXzDkZMvKA/gewGYxVHqzLymnSZYP0JjIaADXxXBl5/pEjbGDTxHMTbU28NbisLE2MVAeitk1AddxM5Lz5zcsvbydsluqT57tI7OoBeG7gi21OcrV9fxKAfkcj//Q/Z2KWPLPPAb9kX5tkr32Y4B4w7sVDFtPkKM9xTHIAdQmzHBBOIr1lQJl9So7BKgfC2w/7GIjd5AzAm/85j20s7NYNM/yUETCqjOVffljs/cZ+B+LzXce0BrJiIVZfzsdPGbDOUxjzm3wt9viz9/kzWH6xz9ekfsfZB6iFUQaIagK5iWLP0cCm/g9Yc0Bg0uNAxQ1e9Z8MsXozgQ1E5Ue9/YrlCzDD6r0A7ON/7l5hNmN8VseAY/u23jogNnY7sBQ7zbl2OVvaB3MZyx4DvHWUCARqAM+voInDKnf+8lNuUu6CD9q3ttM7q+0tAeT6iWuobZBFb7/KYQKyeu/aAcDKMWD8URgYhu2xQOjdtIMDxgN7BY6QzQf0t047oC7QcT3v5YuxK7CgNj5S2gfk1LYEi5A9B1aqP4Bo6/tfPkDKyuv+jl3DAQ+7pgG117VqeyZnMZt3W+z5xQIAg7x3Onl61/PMuN95uAYgc+9BQArljd6jw9T89T942CkcCV99tb5bfwUWtk/9X149Y/tNpaL7jFEkuKL8BuR9/b0B4+v3gdo8uilikExv//Ft/tLD87xy9P7v2rfMcP17+usJBui6ePkOo/dIXve7axAM0P5dd7/7zurbpevq2O5dk699w1Sesbn4+g8vIHX864/8NgB23ilHvQQ4pm2Q+AfCC8aoLVEK6DwY9d5d8xx88QDeBEzUdgUvjErD69+Z+1+/C+ysfrveYcYfSX9BQJ4z4+l8mLJjo/DWh1M3U3/ZCBxJcUCd5+AAzsevWTsXnEamuu3dnwHGD0AuMGLk3t/68FKcGIWRAzxPmz2Bb1h2LHvYH3h/9606AThHDn/UBt768JJPH7WCIxffO8W34mUD8taHc0ztHehOAaIykrhuP4Gl2M0CuyqbQI3u1bTJvGi7V0etYAD8I6MLeCcB37HAzGfJ+VEyOEEFGO7qsmNrq20btvnnfvcKMO3eC2oT2AaYDtT0Td13+YCP/95bD+b2F37nI4zh+jvAnYx6oGXv8cY3FKj6zi9AFtg9oHbPkANqA69LFLVsE1ADhAHst9xsdOD5tnfi3d49uID0ruOLj/ONB/tnf2PqXsDxSLqf4wQQ5O2Oeb7l22PZV0ck0AVqCWKp/QOrpPbr3gmKEKDBjxhYJkBF8Fxt1DiLT3HlZx1AFQHILnCY2kPtoPvReLRxlCARKgajBHPYqYJOBBgYV3U8AF3wR0tjru4T642R8P/CQ5Hgebwm8IqaASb6lo6+JOFPILZAcUD5M6hODtrYE4DecjPQBzj/F7DQ//f/3t/8X90s9J9tv3OS7Rfr/PRJczwIBM++532Pbh/zPYchaK3vk47dDPXLF73+fb7DW+78zSsB0Hfg/wbHZw7ovKsA59QlKAUiEJizaftmjZfqR8mk/yTG+TP7fIPowOs9T7Vl3Pf/+mRpg+al3hnY70D+fvf8CuwOdA8sB4BjsQPHA9mVY8u1b8B8+6HHPi+w/v2//Tf+3duy79X3xTvddXC3gbsNvPYJrYNXXoA73XVwt4G7DbzKNiBKuQhlLGkDHdHHrWuQjoHOBz32QhMNJl+AvaKat3S5iRNy7KTwDHqA4gZHgPcGba03cWaiCGg/Enx/9zHxJ6raJC/wfEuLmfwxOQnYNsirLJcn3fGxagKsMu3o4RgpTTo3AZWse5NVPMCa3GqyyADToG+A7QOgkwHcfu8CAgQOAMxNCBlQVu62lR+fMAEEJixbD0BvUHUD6D/dz5kmxLqHGzwf6dUjN9v9b0K3wBFS/uQ4SeRiBwYCkDwHiGOSA8dJuG9Qfcu4t47cOxl3APoG3VvP77nEQ3Mz34GQwH2g2GbM9985Ot6xJmqA+EBWHtmVDauw43i+10ew8QDV2ICAMV7xgVrYbuTbn8HzDawD4dr3GUhviX3e755dQPwBCg/AF/hjXdcyQMZhFJMV7jqAdqUmqUci98jfA2AB0hjXmL8BVAGbwOSS+vF/qwQAkLGxAbnuP3ATMN46Et7lGwBU6tkLCG+bMvAjpiywfb0rA4B1s721r36TnwTYznWdurza/vFfrXwCMap/gPVMyh1wvOvqmoDi8q/uXAuAuLalvOoT0Nu62idWfnmrNz7qWPDbvsD1USGo/LzDAfOdq2ujStD5huH/3g8e/rUHQN+s1pHY/sr3ruvASm8fSg2VGdjbvp1DsIv2U37aRkv+0V2DfkPpATjfM0kgDxnrknqiplF/7xkGPG/pna6+pY655OdT3/itv5h+NYEJh7kLbCnxYu7bov/6p/8jtR7j9Ui9szdgr9B1kMnufH0ndR+7n9VR7/Xe+/VxIHaJkgU/z0CfYcN/8ffnmeA5EygDsAS6llftmMqPZz/weTyjjzx6gFHXsNMwrV//zuXLPJLvR4WgSdkme6uDkVQ+Hvcjxx57/azr2ls3tg/nHaKtbon96oDVgn4PTKOEEhg6NgpHYr9ERcAzX1CEZ9xmhQ+A+Pp7c73jdf+V7025fOsJplBH2LXVH3WB67re/u7sX/3VlmpjtbXWUXYQIMIHHbt8ynvalbYigK0ydr2UT9gHlHfbyx9Y3/G1ge7xBMWd+4pNS6Id4DwM/yNRjXHevWz/tjsndvCAnMunmiy8/YDy+skw6A8wWlsh2UsJqfOPzP23HsEJk++bH0x9AjSrj84vgM+3KmsS3ywbVK/uO35UFAroKO8vf5R9PoEthz3ORgVADeAklf6pT3/mWg/QDvzoe5vVEgC9b/5AygDnvusDncujawg8DxSxL0Z4dQEgl0ivl1g0bVa8BDTdcu6dm6R7+7OM4X3O6qFr3jZPrB8A6PXxlvNt8ouvT/m3fHupMRzFnMpYnWD+69sC6rrXZNZJrVMeG+sDwU2//fD1BYZ5Xunj3kGjbnPGM41vRlq/b68DiG/J9s5BTcgYkWd6dSAARBs2liovAaTlQcFLGh/3Y3tQAoRrPzvgoSVgztjVeBQwbyxnHyx0APpO2wd9M8+3nDtw3Pptgbb/A9kD0W8W+s82cP5SyfYFnm8QHVt8M8k3cL7B8elPx1aj5wqyhOO2x7kgOOqA5pTMh+zlM7juPTPKI298+xGodd5r+j2W+iYZUMCoH+rDPaf+uwDmL1sX8B4oDfie6/+1d6YvXj7nv/T5eb/0nmgurBSxpPdEz9aWXVPPQ0C6+SPM880o36xy6zb7/Bk438tn6fY7gObV98k73XVwt4G7Dbz2Ca2DV16AO911cLeBuw286kHXjlRuwiHw7Dn6uEHDM4AeiNwETJM2Gzwn94d5vgFqEyYmHwDqpF/3Pg3YGqxhYJm8K2Hg8It0LDBpy4X53XVgPZiMxGyvDA26up6A8SYlGjA1YQU8xzrvuptgA56XmtxrQFh9DYPq7T+8BoozAD2MDZHUm4U+LP4mXg7b7GWefvu6Z2L9TJg1wJyJqCOHxtOyibANoMdKuGX9fvpZBaTbgVsYfDPJfgBfLCIASBOWgHSMU4AhefbNJPd7/JYPMxcY/gySk/sGcpJ137/LA+AJcOQ3vfMHgAHjLlb2AWIoSfQf+z2wDNsd45zMLml4rMotE0+2sHNI29+4ZwZZ9crQhH6T91uKHWj+MjAdO24D6D3L5GESfIJk3v/zC1QIDMIkH3Djtx7sb4DS9oUHXo5E//Et57s9UsLHaxsbePuXA8kA74Dp9mlCPABs2OyH9bwZz+73BDocBjSWNqAbuN49qf6xmTfoVt06R+fEhCZnfnm7v/9X0z7kq52WT/defYyEeb7L7z6k4nnCA+nFS0gAACAASURBVKXkV/1WZ+1jvbpRj5QZus7uCwZ7x7n+6oMnvfqd/nf83cuj/IDllbv7494B/9UtuXYqCYK/BBS078hSv3gAEeoeYNm7u/WC1+QJgK49CxLoWgCTZNSBdIDC2n3HtayM3T9BG+1b+YH3QH2s3QEszj0m9V15tT2S8e0DVNvtb55pX//hBYKWtwC52jMP9mG2Hp/rto0lwQkCmcCbmLavf+fymp5+lzf46w9P6EBr0u0A7foq5YmOIWVO4YMUefXSsnd830yeNeOr/rmHbUPfE+VX/sDsAXsOiMwX/fJCP0FQvcd5n1embfVAUaBrnro78t0Y1OVXO7lA/hd/cpW176i+Kcbe460Pp3014UzCnbex+4QBzgJgVBZe/MkV5NS67iNpfoEllCRKE+j3jUdbUI+km4G3LBmoTYyU+W/9xQXgD9h+ZPz7xuo7CSDcPQHsdx9qlxOYc5RM3HvvTAB6dcQvvfXd19pTdeLaOl/HdU3qwjOlspEpn+fWV753ncM32rBrD7iuffW913k6r/ebYAle8FjqgkDaVt0Dnd2rjgc8dm+B9EDsYZIfpjoJ7mEtf/6bU9ZRAThAufK1/wR5HXZ++VW+CeR5+w8vcL9v59YBJnmjd91dB5CS173gVj7olX2rPPiWHfb0kSgvdV3k0r2HMbFb1/4F8vbu5TmOUU4Cu/3aBgjt2x5obX0pNvanPv2ZSY0D2q96a7xTMO0G6es32N4DbhcI89nfmG2t2+C51Dbg+QbSy1d5+aC3jbx8YOyw5w/zufY/wQBHyaa6YwXVMZUNm71rCszZ8u2N5YzfKGQAoxoPjVLB6f/ezfN99PYDwAJwVze1I+9Pyji2G/fxHi+/+oq89OOurzYx/f2oJrCo0s9ZEWGpj1LZ2Y+Mu+BEqmXGiYI8xtLjzQ+mTQlSEnhM3p0iiHbxDKAPoHbGaJX/2S95g+wbQMdAJwndfe8ePTPSA+Yu7+MD2G3AnMS7xCcdC/3T//6vfflmof/sjQ9/kmQ7kBzg7bfvRN+Z5kt6h24wfQPq7Gr0zWcJ996Tve/rn+aBdhn2eTZAv4F4AeD655zr2z+6+rzgHSoWgmooFwpiiun9MvD8//0P/y8DkD/Ltz9LuwdMY5vrvz0Hdh8MPEemKPW7b6mer6Tb68v9bh5sy7a/jEW+2eh80Hmf7wRgL6/A87/+y3/7RwXX1+9v9vmr75N3uuvgbgN3G3jtE1wHr7wAd7rr4G4Ddxt41YOvLePeBBcgmIR7g4A+1ptEIgEIQG/gPh6AX/2Dj8h1NaCZCP8jey7xSCc5zu+KpBjpdhHP/OsmIjnG0IsHo8GkyMgCfvtHM/hq2aTyjqYms2uQZ2BWnuQZG3CNHP1n37o8yZsA4XPOE71BTwOjIo2B5zFYmrhpsrp9BR2YXOLLPJHRX3p4u2Pjk5HEZiDh3r4CC3awwP69mRQkNU2uk1UMaM0TC4B+RyX/dIPnz9LtAyAdAB1IwLO4xHu1PkPuGnAOcHxmoQP6NuOc97ntgD/HkaLeQPyWcgeS83vGKN/S2W3bfuiAFPLBJL8xywH0WOb93r7gJEhJyHeezsFbt2dFYEP/t7cwQAPQ0jqAG8ALcL7B8c0275kw3qqf/+blk976Jth5HQPXR73j/T+f82GPByby0AUyAm2wwrr+trmOANyebSNBfyTZSZRjk/sPtCVN7JyAWuA30JbkfvWPRd16ADqWmnwB8mTK+Zj3bOKN7XqAkSS+la/9sdMFRoyX9jf+cu41ifoB2V786dUWsc/73/lIhQMBsFvJm9dnALqVrXORYlcH6heTvmPZG5Beb3+e5F3zAJxHuv1ZeQEAr81vNQUsnh2UUv24z+VT+fSB9u+8ylVelAAEk7nXPQdMmlIw6Lqmzr76kLDmLb5VG2oPm+G9771jy3f69TceeQPL9Kl5Pp321zl3e9ZGgeqtF8zSM6x2jbUIEK0MlG5226keeC1fvstJvL/9hw/A8Mvfud7XWNuCWoYhfrzDMV3bt7JW5toK3+5LxeHFn1zfSuXdfQx86dsAcE6xovwpgXQ/+s9nfbyqCxp66xG4MAFzf///Otsr4wR7vHNkxo/U+QRaCDQ4oCYbBvsKqGr/8mkit7K2zaQ2xm3XOgD86995BAO880dTz+S8R4r7BAjwQwf4UngApGOiCwZpv66x+8BDuXJhpu5+Oec8gUy1odrD/H/xkI2t/H1r9U1W/iTlBY90PCWRyug94n1YexXM0G/sVvsLKBEEwou9c42yy9d/+AhACFD/2gO42970LadvHRB61DaOksCAxcczvTrjRa6dep+PRcFvPsBt73VgNWBZPjzgfSOPEsEJCJv2fgI0WBgIvFQXw1j/yvsP+f8vf2fO0ztK/Qz7uVS+b3z7CtgYBvBhkgMVtwrSyGQfJZeO4xsvQKQ667rnnfi5x7mwzEcN4gTQ9r88+10qr47pm7lv9d61WxK9dy7A+lOf/syAlLzL2Uf1rQ9g7hgAJqnsjgsgEeAaKNJ/QPslpR4z/pT/AvYPaD7M+BjiB8yun/FDB5jzwVYWDHTAvmvZ8uwXG/2Lv3+BxrzX2x+Q75zVTczIZwCd/7lnU+3M2EQAr3YyAS3n/o1dwvInps4wqgjnnSCYeoPtADDP5dqNoBUgdPvUz0rjoXwA9LYpj6ARsutUujBkKTIA4FgLdB4BHqzCsFgBddO+3/j23PfqpnbS/Rqv89d/zDC/1M9OwPPcn7P9mXFeewG+aWeAdIA5Jvr+DagbqefFRt+M9FTStNdSIHoy7r/wmTf++u2F/slPjelfKtn+B3/232yGOfAaeN63JeB8A+h91wKxAee9bxEp6jO1475p6i9A8i3/vmXiBdTJXz5byn2XkT1dfctcEcsF7xjEB3NHW5Vvgsj+48d8ToD1T2Kg/7P/5199xBf9GURv+fffefufFXi0+ySlCAz0gqpS92guTCLd3rX2jWIeiXR7oHcJeA4s30A5T/VnBvqz7zkAPfZ5ff4Gz199n7zTXQd3G7jbwGuf8Dp45QW4010Hdxu428DHwVcZgN5gZwPOAOE+1reHXhMwZKrIHO7IZgOhliKIScRvkL1kv34DmrEhgO1AYQD4lriUH2nYBk4GacpkwDZA32//8QVeN8k0DPJf+JWHB95h08ujZQObrrOBUhPNRRp3DC9Nk7+dx4Czc3UtBpgk/Ubi8/iX81vHWsAsKQ2L4ki5k2ffQDrQvAmhPXFJJpNX5Q2gfzKk25scAZ6TZidPC4TA0OElCmBvf2BcE/MA7g2Sb/CcnzgQr3UBPnu/gEGS2BtkB6hvtjqGOLZ7CXPV+o4fqdxv/+iSAiZtLpGtBvYDI/f5gOLY0Bv8w+LkYY3B3/4AHVK7pKuBW9icG0R/GXjO7xyLDmi+mevjS3p+tw1DF7uwJfBGsAHJ9a5jJLmPB3X1Rlp52FsHPC8N6LeuH8scyFxb6HnPV548NVa1IISW7h3PbrLjZM7JJ5Pc5n9tAo2M8wbrgdqur3xbDpP86z+c7RjmQPbuaesxlh1fWaoLoHrtyzHtX3tVn23rvdAzeLyJDysO27/t/N+3TzplBCB0Zdsy5sMKP3UvwKT7qv2Tg29bdSUgBPMcQx/7dMC79x+qCwB/8urbe16bnsCGI4WO/SugBCscsK2uecK7B9oA1vV4KR+rBiz88U0+ADKZbWUHOGIMAsxa8scWBEJpQYDGgHvnHlWO1nePyFVXFqCs5wy7ALL5A/Z8/Yfz7sMq1q9NspI6r38GutQHJ9DlgGAk3DFj6/vlTU68cwuoqHwmmHuf995vkrXfvZMB6ADbytAkdcc518i4H9DHfj0DqoO2sZgAErt3Ao0GaKoPvvtQJxjgu7Z7GMqCj7oOajxUdWqHTTo36QsI9gyqnbQfie3uK1DefRLIIyCK7/m0v9/7s6mH7pdgJGBw/3llTzpKA3zPyctr71QxKvMEKwRGf/Y35vnqOiuntoT5PP3mPF8FE4w0/xsPNQLqI4DvCQx4/68u2wPKB8O8ff/Ppwy+QVvXtxxGvbzqC5V32k0BOuecldF7RJvuvmKTK98oKJzvuPmm/doDNBwlgt98SMOPbPXxTRcIIg0z/gSfdB1X0McBz8u7awC2D+u7MhyQHWOeWsIEkhwPau/CC3x/5/sfUYbybQ7QJPVOqp1E9zzDz/u1cwwgfIIeao8dj8FfOfh/lwDoZNk3W5h0e+uA0y1JqPe9HajR9zaAGfA+nuO/9PmPyLiXTwBNwEhgif1YLrBgIDlPJl4AneDYDeyT8AaYtywFivoPQO9boeUE9Xz2N64AvGc/dGx86jcC+cqvBEAvNYbbAHrnEJBB9aP7CPjhMTwKCO/+6eP7oHfcUf2Y77gjte5dyQYHEFYfwhwtv+7BgObnXVECNs246KhdCKoWiN2y/NpfIPRmpfa79jTjsrcfoDmJdbLQ+o1jsdL1KcHMtS8BE8Mo/9KPGeZbOrr/m4Xe/SXfLg9BGgD5zUIH0D3/B5QD7Hif+/+pT3/mAaj/wq9cbHQs9KSc76DpT35w9csk2/9FwPlmom/p9Q1u8yNvnW+b2nlKFqWeN41xerbpi+zwgOg9FwQqP/ufO89mxluyp/E+MScjUKX+RPVh9/8rGOYEuNS/ngH0DZQDz60PlN4e6KVv/2ffGtKE/sUqYas/lEi3A8/7Ta69Z1rXWl7A8/IDmAeUlwcCB/D8JzHPn+XdN/v8tul79X3yTncd3G3gbgOv/QzUwSsvwJ3uOrjbwN0GXnUb2AD6HtRsGfc+1pt8+Z/9T/61f07GvYFFExh7QGZQNNHM33pIrF+DqwDzkwyugOnlg/FAmg9Q2Lr24Rs8jKNv/eAC+4cJeQZyW0be4A1joomOzVhpoomcsvyS+CpiuAFU19ggp8EjyfYmqEwk83EW1d3ga7OktrxY17Kl7jHR27Y93k30NLFjcgeAzv/LhA+WyMVkOt6YbQ9ALzr5lnD/ZEi3d1+xz5tc5GVKcnaD6EA4TGzS0QDnnwSgb9A7sAfrHGMWgB3QUNoe6CX+6VvO3fHAvPpLS0xyYPAwGQ8Lsbx4tJKzxa4FEAIMyx+wpIxtw3IG1GNoYqzy3G1JQrd8t7Q7CehACNLOe6L62Qd9th0wrmX7PTPUgWoAdCDoADFvfXgxn7F0pw4OuwuYjuUceMgnG8haXli+bes+AYjbB3gKGOZrbMnPW8CD9kO2ezO9W9ezGmjcvgGOwFrl3N70A1AfaX/XRHIdYF7ZgdPKC7CrD/BCB3o5x/SLw4Zr3QBpJ/CCl7h3kwAFwQm8ugWQOEYd8PkmnQ5A5+nO+/mStv+9P7sCQ9SLc/P8BnxPu3vxYIbzmxe0QAlA8ATZfMfyax5g9u/9GDTXHjDOW48p2zHKJx9LDGB9VLDA9JOvfG/Ao86P9b3Zh/oVgJ1HLmB+8nn/r2ZbIHr1QH4dQFvZyN1TCVA2QX5jKXDA0baRCC6Pyg3gC5jrXTheyl/8/QuwBo5jcNZHMTxJbk9/PwBpZeUB328M/d7zPfPInPZOb9m3Bv9z0tPsZtqOXdx52LtUrvbtGuY+HD9zAVLdX/cemF4aVvtv//ElO48hDRzmP04yuX0xzgJuCgocEPXIy/PzHpucA8aSSa/NboUPqiJjiXECeLTV7mHHuq8DuB4PbsAx0LdjupbZ553vX88hChzVefe9MgdE9n1W/WAyV5/AgFE/ePODKWfX3rfRqG0cwPm6rydoYAJoAvYDit99BEZUtsoz1338wXsPAf4ENwwYfEA799I7uOua77o80Q/A3X5tI2XtWO/yCeA6gXFTH0cmXqCkvNrfN1+/a19zDw7bnWR7+UwAw9sPUEI7qO3zGC+YSzACD3QBYy2n/n77j6/+xC5mlBNOuQGh/NCH0ZwyxQkAEAjq3rgPZNzlNce+8e2Lad8707exd+Z4Zn/hd/45xjkAfa+7QO/P/sYw+PreBrD3TR/A3HZAdse0rj7Rve4YDPTW1186d+WcevvC71xS7uVb2Vs3bPDDSN/+5/zWsc4l7PPKBEBvHVB+S7T3n2LGToL7HCuRcMdCb+xWgEDfK9Vl9TsS6ue9MMGF7/wYFGPDxTfc95dARMB4/UYf757r9xNgtVnfB+jqtzYKEKO8NUFEJ1ADIx6j3dhO0AkmurGTMtQ3MNX1nxlTnb7QdVV2QHv10PFAu+qZSthmm8tL3pKAaAC6BDiv7QwY/8Q+3+A54Nz/DZ5v//NPHZUE/7eMOxZ6Abi3ddcnO7B6S7ZvJveWZ99g+l7X0rdL3zHUHDZ43vMvqfL6wUipv//n1zhGEGJ9pv7p/bu91jd4vr3Qn9dT+xuLu8M0F/Sof2/A3LPEnEl9bwD31x/9rzmcDaD/1//Ft/7b1gWex0Bv3f/nn/xw5mtIuu/9WzcM9BWgUp+LSNEy4Ly5IeB5/3tPVF9dSwB4zxfS7c0lta/89O3AcuA5YL3/zyD6s9z7y9jnr7pd3umug7sN3G3gbgM/94mvg1degDvddXC3gbsNfByimF8GoG8J9wb4W8IdA72Bw6c+/ZmLPbC9tQyKDIwMjjDS9zZSfSPReCYASe/tCZaRbD2Tk/4D600iY02M7+O3f3SxyYHVXQufwWGd/OrX59w7arhBjkAB0o1NqpgA7NydL9DPAJT8Wb9nUHYkvJqUIXM2jIrjH+b626fBn4GgSRrguWTSxsASeN7E12b38EK/AfRPxiTJlm4HQmB2CZjASgd8bkYxf3DS5oGDQG7Mb0A2aWqg2YDOh4EKEAeaS6TbMVAxz4HqLSXg6MVuPmAlWXhgJMB9JHOP1K8ggSZwMM077wZkgXbAPZLwJK2x1NUL6WteryRnyTRvT2Iexdh5m4W+fdEv4PyA6M+e6SSdpc45MsTnOjHGyV1jBpMRxu7u2da2AKwSZrL7X+L/HbBlwnv70G9memXAyqYuINgAGN1+GMCk1bG2tTES8KTLW7rXgHLAs/0x07FAr0CBA8Zhtg9z/v1/fHmq8yu+giYOKN819XvuZ2DcYctjK2uL5OTLH3ALSAael9dImwOsTzuVR/9r7+oDA1xwSs/92rI2h1EOeKy+20ffJeFOon0HhLi3AGm2DGTeh+V95OQ34AzgFDzAK55c+/ZK15emHRzA2P2qPnm7k9Qf6fHD1HfsDl5xf7G2BSyUT+erPwkUAeDUH4dJXGDJmx/MdsEOgtUmoO70687bdWCcD6v11/9gjisJMgPKYY8OIPe53x3wUFDMllbHwgUG6We1KSxa73yTwb3Pm0TtewGAXr48v00cYzIPUHoYlL3jMaO7fx0zjNb/5I+uayLVTyp5A8TYn/yLycxXN+1TmfpuaB1grEnaUeH51a9fcucYx3P/3/7DKziLOod+RXlg94/aTet5mQLCqjte5CS9J8jhAF32rwzUDgRz1Na6ZwIxsUExtX1XaRtA6vLsmP2u9PwG7nX/BSh0zvmGOuemdjFS+X1XHYnzCRw5IDcAuWvz7qD8wnd5wPPDFBYk1X7Duj/vb77ggPd5xx3Auz4gv1LrKhM2ed+TtRuS8oLB2q/tXW9lq46Ul0T7DtL0rdo+ghJGnv6wzAUTUEToetjFCCioDWOy923evQHCk/gfoH/Jyg9bv2CKI8HNp32CXQ7rPOC4vrlBTd7nBb9gmbduWNXHCxzoTcI9ILPf/MGB2zzRS4HLHVNfrn8EjAQilVf9hKQ89QqS6mTmAfwjQX/k1FvXeQNGK8eWkMeGL3UezPD+8+QGnGOiV08tqyMS7gL2yMgr82agPwPo1dH2EhbI5vkxNllHJewK/D3fEZSAgOhALt+pAnkwwgXl8BoXVMyqZ74NDkjeflQ/qBpQB9vAN7sF5waGb1ujkWl/82GhVb61xdpe19xx3WdqXy3J5WP6jxT/UUYzDnMdgpIw0Hmga2vP8u3b8xyATsZ5s8+ff28QfQPowPMNov+b//bf+M9joSfjflt3fbL9zrdk+7Mk+magvwxM993ScfokJT3zFwHGtWX59/4TRFxCTKhfsF4wt/FcJsz3l80PmbfZHudY6MBxAL9k3mlsJ948ffT0v2cA/Zl9vv3OAel7Xwz00jOAXuqZCjy3DHCvPgvuqww9p/7OO785YHdpM9dTNGlZv5/vxWPrIL2MgQ5kxz4PPL/Z56++X97proO7Ddxt4LWfoTp45QW4010Hdxu428DHAUBvMDZRzGewY5IXk7oBTIODgHMAugFEA3rSiLypdj4bJAckW0eyC0ubJDo/u7ZjdmNANDHShI0JUyD6ZkoA6vttsqUJLBMYJs5EOtuvAcpc08//8kQANwHStTVIC1wElovO3oPQPWDsf4Ow1mHvkJC3jzpuWb1tBroJmvEMPT6ZJdHYMwn05e9cE8hYXS8D0GMv3/JeP33PGfJ83T8A+pY0byJj2MVnAhIwDMCqjwCwgZuAaQD6llff63mmA99LQHEAIjY7BnkTqhuUx6DdbHQgGACRZzTAj586Njq/ZhK7vGY3AAw0BrZsgJ4cPNY6II6c9PZaHy/sI9U7cuhvfXhJSw8ocZi3TcjyTG7ivknrlkByoNwGzyXg+V7ORO5hWdZ3geV8v12naw6IrG6qMyxGACpQElgNEAoEIk2+Qc7yAExjl3Z9QFmgPSlvaiCAewEKQGQy+doNRYDuJ7AZcM33e7PqMbJJNg/L+ID3lcM67O3tfd71jGLBbz3qiBQ9AM5+wHysc6zZyqttCRSYe/L1H15M9w2eD4h7tukLm1HuvlUf2r5gk90mgY+VByBZ+d3HyqKP8CzX3kfu/hsPgJBNg35LBlu98qkHqLvfgizGc/6rD99rgLaAh+6f847M9pHhB+KqGwE6m/mszsmgU0XQ/zp+fL9P/gMAv/iTaU8A5gukOVL4/d/582zfzwmgqH7buvoCmXQMc7LI1gPQS4A9QA4petLDvXurmy2F2nfQ//zf+VtzbOB5/bzzBIK3f/t13wC7VGmAN+U7sueHIX3JyB92veMvX/i87b/1UBmobbVPeWMz8+7uGtnSVJeVs++Qvikw0DtGvWCtVy6AqQAIYLr+LiiGekLl6h5NYA1/5BMMQ1Jf+Sov5YjxXj8Aq/48feOcu3vf9xY2Kzb9BBR96wdzH2p/w7p+48MpS+s7r3NS96FqpN3UjrZdkGceeflh1B9wmVS5wDXtrvyrB0B528iXY3V3jwHOwyQ/ARCAaYx4su/dl1E/OcD7AKaf+90LSC+/ztn+ZOMrW79HxenL35lydk7n8T3ZNzZwvN8BEJQRBpB870/mWqZs5/ty/GhPm62eycBjC1c/rACmr/7en10BsAIZ2kfQp8AQ4KT7U3kwii+GdwEwn/2NSxp726gEZAdEA9D7HzgdgAy8bh15bvLt/Sb3HgDZ+KBloOXIvX/h7wyz8FOf/szlMQ6wDlztu12ADE/01vEwVy5s+M6zg3gB6M4f6N2Yiux35xkFm198/ZKx54Pevb/A81M/XTsP755DHRe4Azw3dut6hh1/7kN5YZJ3HygYURHpHhq7jPXWYaP61qCAUrvBEGdNwL5l95P6bs+i2gXVnNl+rBEupvk3Hv1SgA3ADnBGrcFzA7Bdm8KQnbZfcPKbj7ZcfVGfaN+ul8VBCYBecAEZfvsBy3ewMzYsEH2D51t1YLPOA8KewfL9n1z79fuJgQ6Aq83shIX+6X//1758y7h/cuZptiLZR/zOnwDqPcfAOu9l4DmFQeB57ZhtX/Mb9c1Y1T0DMdQRIaa/vvnBPHtr8203N0ONkEqQuZuXESo2U12/3oE4VCE6BxAdkG4fATeOQ5ToPC/zPweax0gPJMc+f2ag54FuLijAvP4mNRdm/ouEe8/WwPLqNYC78vI9J8uuz7Ys3+1xjn3+DJw/7+P/7X3+6vvlne46uNvA3QZe+xmsg1degDvddXC3gbsNfFwA9AZk3/r+P/mne5BjkNVgQKStSRi+gA3webo1WdSAh9Q40LfJCQwCkysAwCZFWt9k50iIvvXhJf85E5Xv/ukVucw/HJOhgZOB4fMArcGViQzR/Q08ZpLiV79+scDLowhg0cZdS+uA8VtyzHk2iE6y7JJPWzLwWO3lb9JnDybl2/oGsM8gurrb8p39B6yTVNzbbgD9k9EvmyjZ7PMS9h/wqwlObEBMZMA0kE7aXuXAc2zyzT7Hfm29/UqBNpbbQx0QKl/ncF7reD0DzVt2PNDSvvyhAb4dg1EZsCDIpol5vtSXPPXbD/Bp2I4YmAcoJWuOIY3VW9mBdoAS4Bym0jCq3v7u7IfBirka0Pbsg07eHXDevlvmfQPoA+a8+NMB2JxXYAAQGpAegOpeDwP46z+c/k/CGwOazDTgCcNrs/NHrv3FA9QA9vJABbwBNeVLKh9bvN/Y0+7VsEeXJDp/783Q9lsCiG6/drLdrh3jWnAHFrx1zvscdNC1CwABCgPRAc3j7f1bj7KRjge880Pn+QwAHzD5eHorg4CC6RMHOBoZ9ff/6qpP2wV+1H/LY4D047uubl0L0BjLXpAImX0y74JQWtc7Ehg+ftanjPt4oAWmeXVFan0HUHjOXGoBX/negw1/wLQtxz734YC6wI8JsjjncF+842sb2L/TNo6SBvltwCsJ+a5n2MQ9E178o6u/911QPWzwHAMbgN47s77C53z68emrVCWA6MBIsuZAdEE6wCCy4r2Le9eziel8I3P62d94nO+ND6e+KnfPOeCTIIHO41nWtUxg1BPQWx+uD46qxm//8eV/LtjIM6z1U863/3C2BwhVBt8kVHA6pu+2AEIAHEly4GzXPkogx98cC33a11GoGJb2uz8O7qqdUbMQRFK+3lvTlk5AgGCLrcjAoodqSNdAwr3yB1K17Bq6XrLrwALgMuBtVHs6d8EA7/zRgI/dCz7jAyC++w+v/Vo3Mvrn/rAPqg5GavwEF3RvRmb9zQ8uqf/aQeBddTg2Ct27w0wX+5l1zgAAIABJREFUDIkdjnFOEr2yknrvmw9wPgz+I2fbuu4n4FPwDHsC76zqpP179/C0H9Wi5G7f+8EFmgPQR7nh2Aa1nnd75+o6yhfoP/7wv/3Hl4w72WyKMbvuL6WEgPlzr8cL/igytMTUJ0Xf78oOyAT0YmNjoPfeLfUuBVYDz1sGIluPuV2egGsy7wGcPG77HYgd0EGNqv7RdkD4eJzHcD9KCJVH3hjLnROLeZerPEjHA88tAaTUsUrbA737Mtd+JMarA8EF+zwlnsX9jnG+AfRAn87T8dX13I8T3FG9Y4EC4fZ7UiB04xbvhq12IqDZmGbUPxYbHbsdgF4qv9qCgCfPSoHXtZ/55jkBPcZSAVTlUz/wXVifFsxdHsMi//U/mHJ0XTNmevG4VuoJwHX+yuyxsNG3tdYen809OMx0Qc3PAPqWZ3/2OS91H8j4X4D58j+f/Rd4vkH0zYwt+b1l3GOhv+rxzJ3+/+N3/sw43zZ69UV2N+YwAOnUcsxX9L2CeW5OAlj7TBCQqOj0bKq/UdQxt/HMNq+fY7ubo9mKh/bf8zfP8uxA8s1G199aAtD7HZj9zCrfAHrfQi+TbrdPjPHmuwDmO/X83BLuPVPro9VVz6T6edfb78qxwfN+t+8zq3yD6IBzvzHUt/c59vltz3c/X+7n690G7jZwt4HX/hXWwd3g7gZ3t4G7DfxMtwFRzTuiGYi+pbz6cCdR9cxCbzDQIL9Jp6RAZ3Lp89/8sWTlkZRsoqJJPPK7zxHTJk0NqtpnwKx3HnKuBntNVpjceZYAwzZvQNWklMFHA5oGVQ30REg3mAOcF2HcPiZm9mT4Bv2B9k1OGkTOYG/JsmNokI4n095kGKY+2cBhR/32H08dlK/JsSa2sNGA5CQ1sR5IuLe9uho5Q1Kjx4cyBnpMhJuB/tOVtvc5AB1Q0CQjkBeY3sQhluAzcP4MnjfZvpnnQPFAoP5bj9FKvn1Lszuu/7yvscyx3q0HoGPHbmn3Jlt5b3d8bZcsaBOyGMZAT8A4+dvWYVzypN6+24BYQQUYthtEBBoD/obx/s7DDxfjne9rE83kdluSa2/imvwzoBwrfa97BtF7XgKpOhe2Y4AU8JT8Omb0MOXf+f7FxgZqAd3bF7hbmwC6dw5y7dtTmiRxQC9/dO2IfDv5f3L/pLGn/s4xmNm8t7G2t7Q3kHt7qQPoschrE4BTTGgAOqBcYMfOe1imBwTHtsasHtWDc9/V3bBbDzCOUa1+WAkA9Z7rbEDm9/9qrgXYS4Wh90Jl865rn8qoTWKsl9qHTD8Qv/+YO0Bz/YV0rrohVQ+8d91NZpYHFQgs8Mnz3PNpEwesJyWNCQ4s7Z2CeX3ZBPAxP6zBnkfbPmLq/QB2lYNKTPcMo1197vYrsGV7amu3rQOEkpfWf0nel9eWiwZc1gYAdmwYhtl7+ivG+Q52AShZkmwHfFbv6oV1y8hfB4B+4Xeu7wKWDjHRyV13Pz2rvP+BNb2z2TlUd+UJCPI8qt4wtjz3tDUg8dhTHLAYKNw19s3R90jfDNj/TcgGEFZWnt5zP/KeP5Ln2huZZUoVlATcz1L3QECNa/Gs7rh5vsWSPnYZ1nlGa7MbAKAG0fbq2+Q69jcAq3bReXi4s/UZJvbf/e70k87J733UNv7eP5h6KHWe6V9d95GBB7BXzkB8QB9JeDLkfNUFXFAF6h6TZ+/+qkPr+Mtj65KKr8zeCwDpAZqPH3rtyTeigFJy8bzctXn71Y7ap3YBnObRPkpGb34w6zF4+du6FteGoTxt7tS7tjZ+9uebuX0wg9WldysG/wQbHEZw+QPQ+wamDgGMDkTuG/pZvp1kO2/zEsCarzlJd/7grWsfAHr7kXAPLA/oaHzQ+AbgTFq95Dt9J+fAkO9ZgP3eMVuuXfn6DUD91Kc/8xFv9LYJDqj/YtHP/fnC7zwUcE7gi2vs+JaOL20AvdR4B0hfXqME8JXvXWoAVMEA2N5dtVtS7iUKE5RDBEO2foPofMcpToziz4uHKoFAZWzy8tv+6YCz2plzAPox5qklsLoApI2CwFcf9gktK8evLOl27XMCvQ+Avj3hR6XhBEToC5uNjq3e+gl4Tkb69Qd4zi4MUL4TcBxQrm35vYF0gBtG+jOA3vraTW22ZWnLuN8s9E8WeM7v/GXMc+v6/eyDDjSXtq0esgRSwAQO/dLnP7LvPpZFXecQHFwfMK+z931mnT+zz/f5N6mAKiE59wHLv/oH89yp7/Ye0Bc9c/vNPqFnW8+WDZ7zPX+ZtPv+zf98M82xzSXbmhfr+eo6A73NRQWex0Cvj272+LOX+bP/+Wae9w7a+z2zzwuQqY286nZ6p7sO7jZwt4G7Dfzcz0QdvPIC3Omug7sN3G3gVbaBLQtmcAZAb4A0g4k//3/Mx7xI3Gcv9NY1kOe318RQE9FNmAw75Uy6Af4wpPbAjvRm6w2wmmwju9kkCQZ6ySCr36T0xn/uCw+5vCaIKjNPc357oqCLDG5A0uCn64ipQQpMBHOTIDOIOd5aJownCvqwEsfP860Ppxw8BMtDhDSGBZZ7A7vK04CvASC5Q0EEynp5op+JTQxzUpqY6SNjesD1EmnRDaDfHlk/nRMmm33eva3fSE1cADL4nQde8KDDNgVAA9D5MmOVA8M3aL6BdiD6lmoH/gUgbjaw8+z/wBD72b73w1gEnGHJ8rsmqb5Z0gIGBBR0LKZ6wFp9qfopL8E4Myl8gGBgqHP237NpmJSHwTeASN6sRx43EAk7b1iHZ9J/ZNsPIBcwzk/Z5P+WcLc9edXxHv7c717MVsAl0Ld7RF4de7xr4IOORbwlw7E+A5qAyti9nQfbGeAOvN1yrbvuN1u7PLCgsUk3k7/nmECJ/gNFS5QHtIuubasMlDc2JT9uEuxAaGzu2rhgDUEiPIubRMdwF4ig7jy3u96OBRjv/bXtC+w7rGtths84KfP+D5v/+KzrL9WF4ID6a21evWuX6nTec8dTnC+5fqnOu2bg5vYdr/1fwSUFW/zen10TqNaT2MX0J42NgTvlP9LcGPHD/v/qHz0CJQ6TfRiIpHtPPVp2znln/9ZfXO8tftht6xj1SDZfYISghvGD/voPLyAUGC9QojoYpZV3H0EhwJ0JAADkvngAkgM2H+Z2Zd/WCtvDsxTAXb8kXz5+1m9+cHllk9XuWVD7wqgssb2Y/vbbfzzPB6oySaOXf8+O8gL0V2d8u6c+f/PBBgZaAowuyeZAxvMN5Zqxtkam/Ns/up5vw9I8z7DxFP/aA1zqO6Zn0KgBnWdHx/dNMgz0rCi6tjc/uBjWl5/6YcdXz5VtGKEncG8/lwRHaiPu78iwd2/rzwFRBxjW3jqutlKfwAAvD/3Ic7+8m+RvsnzUO859AiaPitHJW5BV+U4f+dp3H0E7B0S2j3frBHMdP3LPtr5hZ9u3fmyTQnoeg5wSQdtrm7U16gXl1b3lTQ6UHw/wtz58sMPPeciqAwfJu+/2iO0toItce/dEnxM80ndk2zHHJ+ikb8Yj6z5M8y/8zkNZxe83P5hzD9P8iw9wAgO+vKoXqlKVobyA5pvRT353gjfefYCiPNhbUqnidz5WCp/73SvYoHLwnwY+e58CSwDo3rG8zDfI3XgkwLLrbXvH9V1P2r3vfgzwzfymVgVIajwB2Kw/j8f5Fx8y7VNnbz6k5QUPN17oP+b7BvZJyyvnBu4/dQBQADpGedfoWgcgPwHK3afOWV1VTy339QSqdo3PDPT8z7uOPQ6Z4IwCPwRUnecwJRHv4/r59NN3H88XSiGes94dtQMgNIBZMJQAldpC6ztH4yTjIYExPXPrL7zXPfe77vpe7UnQc6lz6k+1v+5fSXtkjUB23XhK/xvG+evvXWNKdgITZHAAdL7MlaH9N6AOQC9hoQPNt2S7ttSy+01+vXH09jrfMu4vY56PAtwv/Mo1/tZ+bhn3T9ZYkN858PxlHuebgf7se/4MoFtXv6otbwZ4/aigDXMlvVsA2xQJzb9MkNcb377GNhQrNiAO2LdENDB/AyA3x7MB91GVOQoU7CHqsyxcLqn35n5SLDnvBqn+xwt9M9BfJu3+zD7f3uZS30l+P0u3Vy/VW8+b5pd6f9Q3yws4zgsdYN7+wPEt4f6TwPYNnkeMaN7uP/w//a3/watup3e66+BuA3cbuNvAz/3M1MErL8Cd7jq428DdBj4ug7RnAL2JygYUDWDIoDdQN2gwGdPkTOuaZGpSqsmiJiAa3JhQBZpvua49+NsDJswFzJwmQA3gthwYpjm5wiarDTICp3iXm3xxHJ/zBjddVwkTZ5gGv/bOJZ9I6rN8SLVu0H/YdEfOEshN/rD/geYNqMgNlvcG6oHu5W0SqAHhTMIc6cAGhqRHeaOb7Gm5Je1NmJvYAaDfUco/Pc+ZBsTP7HNgXsv6Q+0ZMGDikoRmfQ7gDWBsicX6/B+oDhDf6zZb3LGOJ+MOPLE/FjSJ+NKW2wYw8owmv96xGKwDmr/404ulDgTtOps4HabRVx7PiM0AJosNuKmOmuQhpTsA0PEw7hyVGcjoOWUSVt2OVO5hhg6oEYPuTPjX91vyUm5iG0i+Zdvb1rOk9cC6nlGlYW+8ePi8d86RUD5AKLlwgLLgCBPJvM/5EAM/u6aeKdU1+WTBBa4RcIx9Pd60Lx6sZuAs4BW7VH7Dnj3MX8xrwBnADFsce57k/hW0cMBiTFP+3pjlW+adVLl2BFCf9vbeD+YYXunk45VD/QHx+82vuesFEI8k+fJHB6SRkMbori12PhLhAGqBBQByAQRbYp7crb7E33w8qwtaOGB0ZQEcdr1Y9nzoO58AmPKVF0nzYSAfaXYKBluZAFOInyWWtvINGH2AQtLr2oMgDazDXQ9t4+Pc+wjwzRPbtVF96Hq0r8oxSipHSYMcvEAZsvQTtPbiIbHtuVifZGNAcnv8rg/DnmQ7BvAoRnzuwToHcNcPSa1jSbZe2nLjgni6xr4J+lbyTTD+4UfWuQAZAYX1+84vYG4Yl/XXI7M+bMfzfBmf3fd+cDEhK1PXV10LRjAZPe3qgJfuGantvieq05lwfu9PLrnhzmtyu2+nJoM9xzz7xs/0PIc9nzDcK9sAp0f5QpunGkRdorINoPreo40AxADAZLyrR97pnZMf+g6s4qldsEL3jGexOiJ9DuTtnlFCqN4Bu9VTz+ItIe9b0zOyPLxjeXfzkgc4Y6JPOzsWGcNyfef7lz0A0FiQVUlQqGe4OgHkC8zqWtpWPt3Py789YL5yHhWUrnFY8m9+cAWPYBW3Tt1giQPZB4QVnHEY4Ludk1QXiIIJT+7dNydJ7AFD85F/8eHUE7C+/dxnzPy+a9s+rPY3vj31gsE+bfQErWJaU3gBqvu/fc8B0djoAcqt6zu+7+n+d2x5Y3lvH/IATOB5QOUw/9785oCUjW1aD/TmQR54LcgFgA78p0IDaOeB/jJGOsAcixgjvu3Vw3xbnPy3z3r3sGdL56seScyXT8eTcd8e6I3XOkd5lTdVrAGaj1qFbxAWL6MWcNRW2rbZo2T7ge9j8XECpOaen+CP8Qc/rO2eW7UTtg8sP7Sb8h1FhNM/KlfnY/0luBGI3thKoPK8H1Z/JEmvv1DmoOR1SbYfu47+C2IWtLJ9zuU51gNHCcxzdVQJTvvFhN0g+rNEO0B8g+j/Mgn3DaAP4P7zv3z5oZePRMY9Fvot4/7TOQ7c4Pkz65wCzQbTt+XcBsqfJdz3HEptumP5nNfWevYBz+s75k82q9xczMwPvf3dGcvU9ns/v8zj/BkcNzdTn2dt9wyi27f9jHuRFShQANZHmcS74wDp9b3mewLRzWf9y8DzGOPNDyGLvAxAx0CfwMNf+JWpE8B5ZaZsuNUj+h1QXv6lfm8AnU/6y3zQ299ys89vZcFX30/vdNfB3QbuNvDaz1gdvPIC3Omug7sN3G3g4+aD3kDNYKlBFRZ3kwEGAw0wmpB5BtDJJTaYwZRqMpSk345EBqBv3y4RyQZW1hu4mSQZBsBn/+6A5g06mnhoMqwytm0PxDoXH/LKWzkrX4OdPXAzAGvSyqSbCVl1AUBX7pnUaYL3AOEjM/jmB5fEKCYC5rl6BKB3ziZvyBgqD1YDppAJckA6Dz4gOtCAxyY/9c1Ab0B+S339dEyabPY5mckm102yA9JJ6PKaBpQBpDfTezN2NziOcS4Bx8muk2e3Tt71hfo3ZjtZ910OIB+AG7AKGNnsRRLhHQNI6To7bxOygHHy9cP+O/7kANYB/w6QGqgAKO8YzOcmgHmu7wRUHJnZF499MAk7R31sAJQjR9q6YQd+5XsXsxVTDHBOrh0D/WUs9LYDc8uXLPewug9TlYR2AJKAAX7eQEYSrG3HmCSbrF6w0R2LYd4k9YAf7z3aF2AZ+x2wH+BJ2htzmQ+y4A1AL/AMQx3YDjC1pEJQGcjN78AK9959dT+7F5jsgOv2AeRt0A8jTrCEwA4BUF1niVf4MKW/8ZfT9nrO74ABEu8Ad37o2jA2/tgHHMbeeJ4fqdvKS8bd9t03BTnstox5L2Bge8eTA69cgMsCTLDXpz0FpNc+8qo+ligjw/7+X32EWd097pjxUa7uYvuca3aPPIMm0OIAFeUpYGAHarRdOZR3A4dA1mE5J+t7gHTPBV7jXRe2Y/tVTnWgbXYOgN0FzhUc8pXvPZjlh/1bPyXZXr/lgR7AbZ39S0B1DPCeEW3fkuJ9G3gWjtT0AScDyQLRy7tnSflXPt88fTOwXunaOrdnGvYyP/W5T299eAVc1B5JfwN4u97WAUVbX110H7vOHUjYN03l7zuhCeHqYJjmR32j83cPyotyAulywLL7Y6lfUtHomgQnkS7veAxncvoUEYDUArO29Lv6rt5Ghr2gpF//g4e392FzV8faafds/Nnf+vBSFxlw+PynjsTPvf0x6rv2zbK1j3vVes8W7Gxgm+ANPuajEnI8mifw640HUDlgNPuIw1b3rbytBuRPAr7/lWUAwBN0AeQE6GO7C6SorvsuptiEcd56akUYttj8XSOAVsDm9o0etvC3f3QBGQD+/pPGbx9t2bFYi2NB884jAA1oql2MP/thxAf0bgC9RLqcHzkvc0B139iByfzPy6tvel65tmGpY4QDtOuzLJ0CJgNLyGzXT0Zha7Hk91IK8O66/CaxvgH0LdvdeWMRDxP5//jWlJccO7Aes9LYwv2q3vqOaF9BAcDzlwHonaNyTTtISeCwOQXcsH+hxKD/UAtpnXEV9roxivcMK5WOvdQPDggtyJhkPGsK/QYQzjah7WPx9ZsPFYl5P/V8P6C9bTzR9W99APBNDUFfaV3bSv3HKu9aRinsS4+6JfnO0su4q/pjsyHYWVDCAPAnQDs26YBpLwHQN4h+MdDb54Bu+7hn8Dzg3HGO9ftZxv1Vj23u9N99PmaD59vvfM+fYHtvEH0D5r4xNpi+QW1S6Bjhte1A3+17juG9AfF9/k1s6FnUc7NnLNn38n6eiwG+TxDNew+LBkFY9jcPAqxn8UCB0HH7uVV/EyDFjmFbaPRs4HkubU/0b/9n35r+xqrwZRLuzzLuzSex6gv0JtsOEK8+S4Dzv//O2/9c2vtvBvozeC799V/+2z+KfR6Annrk3a/uZ8vdBu42cLeBuw289q+wDu4Gdze4uw3cbeBuA4v1KtJ5e6ADrhugiIZvYLElAQ0uGsxjUbS/QdRmK+zBmIHVHpQ1GDIoce7xGT+gdAOiJroCz5vk6jwm/YDv23u8wUiDmKKFG/Q0wGvQ1cDFJAe2Sfk2sUQOEzBkIFqZ+x+QQc59gIIj81d+Jsz4IJZn9eY8ztn+I7355e9c1901ttwMHP57Jmi2nJlJqyaRNit9A+gxmbu3N4j+8e+D2/s88ByAjnnJr5pvMDAZ4EQ+ewPoW+Yam3yD3oD07Y8OVAeI7/3Kh6/5ZrM7J0BVftZj0uo/tmGBKyMmvMlR+5AEJs+OzTZSw7Ht3vn+w/P2//x/m30xcQUBdGzACiYVFi85YyA6yXgSxgOOvP2YuMXUG3Z6rKoDytTntt85gByQ/jLwvP9NODXB3fHksisj8JTPdRPSAGVlB1phwwI1S4ITMIp5lQOJMcX6DdxuOyY7QB/r+JLY/sbDsxrIzltc2yBrzgO935jk2MsY4oBtxzTZ3T68fzcoXp1gnm9QGriMvQ1EBr4OEBj4fCb/sd4nn6//8GorWKfaHwY0gBcbWjvd7Px9LaTWlVv92E5FgJy9gALS9q6tpB2wM9jM7favbXRfeKWTvR7weikxaAMAazLVmxHuHgdWKGv3YySWj/pB22tbE6x1QPLpT4EtyeCevuqau4fVf9eL9S5ogtQ+MH+knY+/rcAPwQT7m6Fy8aFW7+1TubRXATJkx+uvA2jnDX1YtvU9y81E5xkdaN61da4BWk+AARnztg0Y++IhTx+7SaBf5Rzm6OvvTf8GoPddMADvO390TX43Ccx7GvMY6AlkCjgDvgKbqfXw564Oy7dt2PZ9SwiyK++eO2xlsNdG5eDv/YMHk+pXH17wmNlTrsMSbwkcr84Fy2z7EEoontPuNZY8D3kAvXoVoDBBIAdknz54PLbZa1TntYkCFrB6h+X9zvenPBiprauusLE7Hy9yLGgMe8EHWwWhclDjYO8xz8MD2FUHlBJcg20Ab6C1oKjy7XwY3mTXBZK0vmMEVPR7vMCP33lLoDp59rmvbz+Y9vP+O2nYtEd6eku21xYqb+0dM923LnAc6FD+Xac8uj4+8JWhbZW1slRO/tbY7pj3k8dbHz5kvo+H+rynPv/NywMbiN+5y2MCI774+5cqVN/RglKwsUm48xEHUNfvgJZActsaK2xWcP8F/GKBO64kyLYxQ0AlAL13evVIRn0z5fnKY6VjQpJxV8btuY553G+y64D/rg/oLyBv8v/i78+9qS5IKPd7S9f3XcEDHYDeWK3fnWcA9NNWa5vGFMAr7w5+6CxBKPsEehm38Byfb4fDEvecB1gLniivxmXko0ep5GsP9YJRujntgrpB/UoAE3WOkvY6fe6d78+28iXzzJJiAs4WaK+snmnWyRPjvLymTZ6AGdLt7dc6fQbDffpOQUFHnYA38wbRtw86EP0Z+PZ/+6ED0Z/3B56Tce//T5Jxv4Onf/rB8wGev/2jSyb9mYQgAdU3gL7Z4IgIu783T1IAD+C69bVp76rNIpfPlnTvf32k5w9VvfrQM3ud2l7Pm21b0juJYgwihWMROYDr+vBYiJygnFLPbH1UkBh7i56/PXcxxQPMmwMCYAPMmyvym21hCesceN43U/2ysjWvU5q5m8Uofxlw3nn38pl93vLZ/3yn2OcF2Nenb/n2V99n73TXwd0G7jbw2s9YHbzyAtzproO7Ddxt4OPGQk/G3SSrgZFBS5NOBhmB57zQMRu23FWAehMHpLoM9EQgiy7esmDSXtdgp0mkBkEN8BpcNFkQe7OJoyY8TOaIpG6Q1GCjsjbxYIDThAZ5Pd6GZFab6GoANpOuLx6SsWTbAwv3AJSMapM9DdiaOOv48i+vylo5myy7JFJ/6fNz3gZ3gHETSga8Jpe2jLuJORN1E619Bo6bUWHi5xlAL4lYbtAVSHtPpnz8+t8zeN4k3WafAzCAGCb8eSJv4HxLrPM7x3wFrG8QHbC+l9sjHehOhnt+H5Y5ljsgFZN8g+TAyMpNVaI8BgQ9gDvPb166vDXLAyNdAoaSVAakA+jJlAMoA2QCIZtQBeS2bqTNF2hJspjXPHZU64ZddRhTrBMuputhQALjgOjAcmC6/4FGPNCb4AbW8+XtNzAwgIVUMlBnfD4P+IJlWwpIBJQCrXkKY1xjMJNaBXYB3wHv461+5Nf5gJOCBzrzDO+ZiAlObl/9Y6STgReAIQjAOTo3pn3rMbMFEgxgfwD0CbB48Qh2sA6bHhBdHcmbxDkgeIDHExRA5hxwO4EAp6x8tdtnB1TVJoHPgPfOKYBjBw24d2TxSVILBGFvgsFuAhSbG3B+MdJPsEfrlcd1YsKXqjNe1PpJ5+zdESBR/bTdPRym7AlC6VzaY8vLo/0AHG3nmQuk3EEWnRt4Qmq/JD/S6mTbKy+rhQE/TzvBLgT46r+Y/xjD+ixPdu/wARO/8r1Zdu7ekSUgM9A80IPtAgCdhLs+iZEOrB8rhzc+vAB0E72YXX1DNWEbeC5gpnx7Z/dtAzzHim6fYcoey4jqA/CEgczDvGvkP+2ZNEE9B/D2bTGsLCzjQM6jhNM5KmPtIeCu77XKNoobh+FPonykjQ94RbEBiM7PnWrA9Lnz/PcM6hzulz6F1c5zvnUULQTPuOcCi6p3KiFUdzpeOxbsVD2RP59gkQPuCzYAdncP26+y1/4n8Ob3/uy6Br7OXVcg2Sj8HKBu2x7I45I+P0D6BGzUZs71dQ3TvgpM+eLvX0Fg2OLap/fLSM2nJHCCDAb4fvshn4753juobcNSL6DsqBUByDvvKBIkWX/Y4QGt5Y/Rzc98rIEO0I6NPsFWp021j4ABdicY8ZV9n4+tEI92DHyMeSD+/D+gY+fCFB6f9y8+fKUrU+Xse3hLumObk23nMd4Yhde4fXrH9n0+EvsL0CTfDswGbAdwznjhs29NoG7jDQz1+c7/0o/B8/qYb3/Mx8CaDdwA81sKrN3A/aeO77n/XY/rqqzl0f3CvC8Jhqg+nNMxwHMy7oE9jdUC0Edt4lhtVc++I0YR4N2HnHLPMoFj3WdexJ7nvku8z0iiTwDiYYr6pvEs9lwBkGObAryn3RWMcwJn5jv3gOiev51zpP6Pp3n1bcxGeWP8yM/62tdlWfO1hxT1ts+i6AV4L9/px298+yMKYeONfsZgxlYz3jpjrfat7damp48dZZPutaANYBgv9Jb/v4Doe9/NQLdv/60LRE/GvbHfDbZ9/NNPAs8xzYHnL2Ocb+/z7UMOtK4t65tk2Wv3re951FxIfYOUe79r56w1NtFBGfYJnf5aAAAgAElEQVRcDTC9dT1bKAE+e6jLW/DMPJNPAGH9C2CPbd6+W4HQ3BTvdHYQ+mD5Vd76NzKD5/SzxcKlCJGy4lk2t6UPAtH5nW8Ges9Uku29Jyhg1M/5nD8D50Bz/wPXf/nf/d9ecu8/yftcflu+/bble/X99U53Hdxt4G4Dr/0M1sErL8Cd7jq428DdBj5Og7c9cGugsqOLGyA06BAlG2Aeq6GJGWz07Y1eapDRhNbLPLC2RJelAVIDkQY8na8BRedsgNegZhjnZ1DUwKlBFI/xookbBHVeDPUGifLE8m6QM3kn0/7Fh19kk31do4Fq4I2B4mbtmmCq/ONl+fYf/nOyjCbFAvxbNuBqcqNzVv4maBrsNcjD5sG0w4ggCzhyjQdIJ+tOjrBJyvLAmOXPZ5Kn1KALE73IZd5Zt6T7xzOAhXT7MOeOPyQQvXsOKDTh2WQ/j2nAOSAdo3wvt3T7y0B0rHVgNia5JQ9zoBvQvPKVHwYuNnz7VlasW3kEMgKzN9AJqG/SE1jeOhLaQFVALv9N4AxwA8C/pds7H1nyyuL86gI7G+hsUpb/KxnakUx/68NL5n2ApzPpH9gAPBfkA0TfgHoT6v1vgrtJowGqjyQ2YJIfKZY4ticmMZZyE0b9bsJ7WOVHAn4ku9/904/I3/efzD7pa1LJpMxbN+zxQMkXD4lsgDcwrPvHtxwAXJ0C+jsGw9+5t0qBNkFRofNiObd/k3UFLwGfqw9thG/7lP39v7qAeiDz9kyfe3VY8dik5K55a3ddgFtAnqANPuW2AdC3n3pl6FxAw+2BPtd7GPHYufLBbBfQMsy9b/zlFYDQ/u4xdvuAmKcN85SnPkDyvbqvzTa5iPGvXTfx3zY2CqTugRaBIP0X9DKTmwccB5S6F62ngMLXuTJVZhYK1Zv7KCjEvRgP3AKFDsu4c+yAAX7o5Pox8NuHb7U2r+/3u+vTd4Gc2LvAc/1yWLNf+J0H2PX5b15+zR0XaGMpYATgvRUA+k7C9hrg5svfmWd1gJZnQEB6CYA0EsZvfPuSUu6+9Lvl2EO88Xi+kGcHYLp+QUbtM1YSB+juW+aygAmg/MLvTDuqfQfqmETu+6LnVd9SfStVRsB59e5+9rtzeB551usH2pCACQoEngslQSOeqYB4vsPeX/W5tvNDFyxWexrA7mvfnbrueUly3jOk/LpeoFj/2XEA9Cn1tB7DHhCtbwlSsn/vne7VeNsfIFDQlsCCS8b9+IADnfmXt9+A4W892tO+V1QX2IGwBplAipPPAKVffLDOqTXwcm4/LHUS87UxfuzY0vPtEPP2gBVk/nml1/aA652r4/hsO6ayV4baZPU7/W75oQs0I1FPvps0Nx9qqkrWkYzXd7TbytG1D4C+vMAB0yWy60B0ADRZd9LufeuPD/eb3xzAqBSQ3LbGCYGaLUsBJYJuG8dgiQPPJ9DhfI9LW1odE135+LED7P3nw14qfyx3+7lWEu7di8si4lgg9L9xRce1nzrAQifhDkBntdX1l3/3gVz6fFMdpnbvDkEkszzWVOT6ez4JDGlZ/6ztYrX2fKGo4HlWElwlCAYQNu36zQ8egUDvfP/axr+cbY7gFGAZximLBfYGghkED3kuABAB5uVZu+IFT/WhBHQbRYe3HgEg3evqm9Q79qvUOdsm2MP+ZN1HhnkB6BsUH7D8+J1voPzyQn+Sfm9sGcDXOBPoZ8z5LON+A24/PWPA7XneewloDSDfYLnvDsSEva4lgLk2CJSunU/Ax1LiqL0DqrdVQeu3kuD2P9/Eh97LpfbxTVEf5LO+FQXNw9RXNrDds1M/wjbHkAe87wRMR26QrwCBS03jPIv2vAh7va6/erj65LEpBKRjnfM+RxBpPWZ8+5l/CuwuPQPnzwA69nnn6Xyk218GoAPPS7d8+6vvq3e66+BuA3cbeO1nuA5eeQHudNfB3QbuNvBxlnHfjPEGJZjdPvyfgXPgOTZ6g6jA7AYnPMBFQpNp34mHFJZ5kz2OGY+/z3/zmqAx0MMU6ZwNahqEkD0cKfQzIGnZBETLjmmghRUPJO8/tjn2bBOigPSRyf3WD66BG2YCKcaWJsP2xNiWVGzwVt7l08BNlHUTPyZrK1vXjKmOfT7siq8+Jh1bNoHTxOOArIFwZ0Jny783sWfwVfRyA7AmVLrXTarcQPrHh31egAPwHHOHr2nrTEgDJICZWKna7LPPOfDcOgEhpNoB6Zu5vgH4/X8DlkDKLeHOi1w5ANiblY6hC9zTzzZrfaeO5eeM8WtSifT6xZQ9ANAwkY/UNMY5EFB5OyfJemAPSd/KASgfwPWAPfxwm0zF0AS0NdHaRDfGucRnGQt979OE59zfxaTH8Kq82Obd466XTDn2LXngADIe4ZjLJRL/rrl6AaCrl653JFxPWyKrTuZ9PKoPaI0dzxvb/QM2b3lv0uvaKhlYTOrKVF0Cfsure+x5y9N7giNOW8GAww4H2joHgFqbaxsAnX8rRYJ9XqAv79ep66/+0UfOvVnolzz+OV7gCPa8dilQA0N8WPcnIKKkj5WAkZQWyOUL/OgeAZd5qmPstx37vcQzHINeYIMAjdaN3/MBP1pfnU+b/8r3LoZ767eqwYCSydoe4H7Yi4fV6/pL1RVm4w5iwerFTsRK1OZJxLMIqP1Vj651gmUOaEeZwHkrO8Y4wJx0e+9MTFpKESOTfXyEA6SGzXtYtRtAx8avHWDX8naunQDQfdPUty+FieOvXsLyrk10XYDRrhlYuZnLPMkFBQ3oeZQMBE9Vjn6X14BSh53ZBDE5b8+HvqWUr/xrL523bzQAl2cKKwvn9gziTa7Pd2/Is2vnXZ/Jf/sI0ujYAbUOcAyEJikvkKNleVCvaJ/WFYzRdx2Qly993z/l1fcUcLxy1zYoMXR92KiYs6OkcOT+9WEBA2NLcAA+DPTWs5ngFS/Ailw7ABkwXlnHZ/2A4ZUDmE9xYJjqR56dbL4AEAD2xTA/Uu3V0wB8bz3kpwckOJK4gisxyrfVUEsMZlLrWLNt8y3pW5PSUb/VM6lu70KBEB3Xb5LdAFQBINXZgPtvP66dTPwEshxWNwAS8zogcoPngb+CVjeQDpgmf75Z6BSmqFk1JsE6B5y3DVBZX2nZeKY8+47vOAEv1zd2gPlJrJs65wTDHKAeGE4evu3GB8YIrK94mAP/ScALcOgZUZrv/OODTqoey33nX76NjaiEYaC3z7Dy3/zm3EfKCfUDVlKCNVrPqx743D2cZ+AJXGRrUV5bZln/8e7xzBesIwCajzHGuLYlL+1C0Mv0oRjfh22OyU4GunbIVovlAZWGEgloNgMA7val4GDsWV2zPhlFjxPYrB0PuH7+dz8EUFF1UA5jYGPWDaJjmu8l1jnZ9/6zUQOuazfA9M1KB6DfMu4/PWPAnwSeP3udA8g3mP7MStf3ntnnGNgUO2qj9Rne5NQfSKxvRvgzs31LuZdq38119O3TOIelXm2+bcB5/fp6hh4AvbKwXPA9hVgBEHe89fbZPuvbBtB/QTP677b0MD+kv9U3qTxsZcWenz1Lm6fqeptbCjwvxSjfsu0bOP+v/4tv/bdbvr19gPXS9j7fqbKZv7nl2199f73TXQd3G7jbwGs/w3Xwygtwp7sO7jZwt4GP0yDOAC4Z9299/5/805fJqZOiazD/b/0v/xf/bHuh89grBX5/6tOfmYnkgHSsigb8QGySouVrsNDApG1NgDX5ZNDToE7kc4Oh9gkwb1KowUeDHgOiBojl28DIBJlJsAArZWk/12gA2AStwSEwUDQzdg82DzaLybgNnJewQYBm7dsEC7n2ju/aRpqtAeoC0AHm2PbYDNgR/E2xLoDqI+fYJNtnf2PqwiQeID02OiB9y7rfQPqrle1rYJxKAFlwHq07NeG3fdDJZG8fcsD29jC3XQKKb2C8CZftW+6/fFkZAMM6D4DSPuSkAbQb2ATcOp9ybj/rjuetjgnsWKx0Etf1FdcD1AOgk5LF2Oa/DHxXdv7g8hSIMEDkYWXzA+b3Wl49i8jwdl4sQ2y+Z8/z8SU9zPPNSA9A7/nY8U1Atw3jHTt8wGsM++P3XTtoQnpYxy8evwVbYBS3JJEPyHavgLcf8RI/DOuAJgx0gC9QHGuYz7R8OoZ0eku+2fZzH+wHiMMI75qoEnRcZQK+dWxLzHT5uk/k34HcJTLkI19+wHNL7GkM8cpCepxMvDarDBjcwMWxUPjGI6CKUgkPeL7rQPXN3Afqk50H5u++NHVzwO2uU1CB87dv56usl/3BAXapDpDYHon6A/C37TkgoXUd136Ox0zvmNYBtidA5bf+4vKwHuWTPMbfeLD4WCpIWMEb5Mb6B55OOzv7areYwMBwfu0YxUAXagqVDXjOh1uQEaYkee3xZ37zgwGy+Z+PAs3xy+R9zv8dW52iAsC88vHJ7l2ehLsJ3ep4GK9f+ubFPCffHhhaXfWM61pMUJeA+aThSz0jWl8773rLxzPMNY2cd5LbX/nevOPJomKgj7z2u/9wzl35KmtlAjz3zdJkN5a++8FeoO8JKh+sQwQZCUYS7CG4pvdGeXume2dhp3tuenZt1nnl7/q6n9o2ZnjPvb7RsON63rbvBJYcgEsABquBlu0DWK/dAnw7vt/t0zk8l6iBANhqRwO0BZofgE65axf9B6YJeJv2ed4NVByw0qtnQSe+21qnbN45A8IfsFsQCJY3mfdhZhc88eXvPADPo0CwAT5scwC1AIvaE5BdOdsOoGhJlWGY5S8eAWTtW1lq6+XVtQBfMe0rC+sETHg2Q+5D93qCRr7wOw/J9wM+Vo7r+/fzj+sLPN6AOTC97+oNNgPNNzu9pXFB181vHFiN9W09/9mChAsuCUjBZO988mpdvzuv73MS7aXORa59q1Rt7/bnoNvGEuTifbe3r0ACTHc+69YBz10T9nljsMZIjc1i1jf+8R1i/EXBwHdI7RZwLMhDEOeoIBwmurbb/gKXKCNhlGOTbt9i8u4C/CZ4+AQSY4uypqK0VdvYIDdLgAlsfONhe0XdS7BR28uva6y9bRue9m3dgPvnuvrferYK00ePWlj5t71jMeNn/LfaNfb5yEgfJmzlvxRBFjgISA80e5Zr378FdADRScA/s9GB6dsbnQ96Mu7/xr/xv3ntlnH/eKYNnlMABJr3jH0GzyWy6oDsZzDdc1ybm7Z+5kjYzQHOjWvMIegvJYqB9VFzMLzUn+Xbm9vpuTNBXu/+w3luUe3rudozrfLIs/4h0M+7ibKE8pvz8RxBuNAPyadTGWwpWEXQ4LPve/3cHFTzQxs817+awyLZbl6r90HPUWz6kWrvu+8JPH8Z+3yz0NuXmiNix8uA880+b94m8gMFwVfdbu9018HdBu42cLeBn/uZq4NXXoA73XVwt4G7DXwcJcQaxD0D6CJ4N4DeBFMg9maibyC9gce//tf+5kzatGyip4mhBgalBvzl14CnQUyDugY8DYwM3Pb5+Us1gOkcTRIEkpvQurzOP/vWR2QZsVbaZ6QQA6Vff29+GyyKXBbdLcIboCg6W2R2A0OTYED6wDDMs5aYI02el5rsarAILB9p1jN5aEDZugZ4JAixyMlHYlBg7lQek6xNkBqIVqYdZW4yruveQDpZ95uN/uq9z+eeHPYWVjIgqLTZOZtNLQGugdPA8r0EnFNb4EX+DJBjpEtY6mS5AeIbvN8M59KW8AbGS00K+U0S2/8NrgdqVAe2m0zix86/tkS+WX0NS+nt716gV0BJ+Wx2O7lzIGZ5AFOwOzsOW8+kkn6HWQe41weB6FJg+TOI3vOn5wT5Xn6ynbfrwcQdn+d3/miAVOBlvzHUAb6BOf0HdpMXJ82OYY5ZzrceaA5kJROPNcwb3fmAwkB4wRJk/4HTZF3LQ71Xx4DcK8jhG38556iM2OPaGIB7e64DZDHaAczbKmB8xJfvavVAgrlzlA/GfPvwg+84MtnsBvS5rn38fw9rX8CFsvKf1F71xfKrLtgrVN6O1Y9Hjvt4xfNT71ytd5/bn//2DhRQR6Td3feOFfgA+N+s8/b1/OBF3jbBKZjfQFH1qF9oM5PfCToY0OFIYLdveWAbdkzXPyD/sSrQnoDgHdsxPK2BbwBQ0t8Y9fVHwSblUf2U9wZo9aeWATK9bwPlApFJVmOWDmP4jYfSRH0y1japbtL1lREIWpvpnrO66ZnapHTv78qLed6zo2P6BqhcXY/nOi/zYX+//YeX3HHHdGznaWIbM1lAQfeQXPYAPQe0JGHcsroEBPXM8T1XXibC+TxXtsozwUJHDh+QDBijIDDPjtN+geTdR0A5S4f++y3wRPuqjDzOt3VCbU4AlcAb96Vvw+q675+en5W1Plrdbsn22mb1SGIcA73/gtC0D/XfPp2HpQNggeoQ6XbPet7MAjY24ADUG9C89nSY6J2vpeCG2tclY38AZQB05xkW+JvfnDz4oyszhuu06WNDVP3xDh+J3qNoglELnHau2rz3FcC7ck3A5q8/vGRJrQNgBB1URm2NnDy57FHqyEP6vR88wMij/LCtBVyDING2Y/Biow94frzaS70v/fY96/sbcF3/s04Aa4BOfRzz8lPLXgn7W2pMUZ9oXBGAAkBvLIHZXpmB+X1Pd+5Ro1osdB7ovM4B8HtZ2gzizgME3/v07SBQoPpx3a1jP9G1bt9zqetsrISBHqOya1CXZJO1p+q8ZwX/booFpZ5JM445LGxjEwzv2jMmOlAaoLwZ6UB0gaJUX7aMPwn3UTx46xEE1f7lZSwkcEObBZT3n4pD+5BeJwffNmC2QBGBJgK2geVjI9B74gSkdD4gXOervthnAdA7Fktfmj51+iYWbMsNpBcIfrHMn0DzEqUEzPW2PXunY81a3jLuH/8x4DN43jxA78HNPH8Z27wxG1/yj8i29747fQ1oTE1hwPMTkF87bd++L7RbwVHY68M+P/t4T77Mgo8ioOcIUL7+URBxfXYsRH7tnXkukZR3DuMpcxoCUJ4l2/f/ecccdr3fnvGbTAEsx4JHBClhn+tr9af6GDWHDZy37DlKAbHj5BdwXooAssFzzPPNPu+8+vmWbpeA5xtA36SH247h1ffbO911cLeBuw289jNaB6+8AHe66+BuA3cb+LiBedsHXaQvAFsEcwMSfk994APNMR0abJBxLwWet64JHpM1Bj2YBwZhO5qZpHvnCahvgsHgwuAHeN1gxEAI27zBUJNLTYA0gdIAkafdTPidSRESZfy4WrcHhg0GG8gKIuAdWt68tPrdQLHJrmF+HPlmEp7kWfk5YtSPR9l7Pw4WmAnkI7uGSQZAHwbR6+/NpCZ2BgY6RvreX3Q1hg0A3aTf88AsNvrNRH817PO8z00UNplXm8ACHD/0dx7AURMYtZEm9rcsuvTM9AYU+w9AJxuNrb7BdGDoBsjbh6+5fB2vHCTRN6AOmG6yZ4Pn23sdmA/MBQgPULS8q7tuMuXVBWl6/Yi0Mjld4IVJWNLswBlgT9cGPB3Q+chmY3ZjhQNdMO8637BaA9nOJHPb9Hfyzc/McxLSfNJ7PmFq8h4mJQzwxC7HPiblftXTAYKxhx1Pkr311TM/dB7e1AQAoh0DAOY7vyXdgbFAdfuQRMeQ3QzqkU0+ignVGRbq9jLnQd42suTUAzCp+YMDvFvfeXkwb+Z195lvtkAMErIDGi8bga6Fz3vHYc6rW2C49tfxtbn6A5as9sMX2jFY8gEL6qX1tTllxpQXAFN+lxLAYf62HqBMlp3Xe/d1y5g7N295ktzKCaietnGCJdR368lukwp3XzCPgfj9do/bD4De70CLfndfhy2PCV9wxfEQ559Olnwk9g/ATFa++1Ubq74ESZCwn3o7UtraCMCXj3dJvdXvOnf9rf4H0Ov/SGsf/3MsxY7j21u+mPieK5Wte065prwCvvp2aGKVhHspkBdrnE1Mv/sOGDuXNz94AKyHfU7GfZ4HxzvaM6DrpBYx3wLV95e/M/eMdHj5CsLo26DjeUv3rUF2vm+yAHSS9T3jui/lhckvoGSUGl482OKA8JZsBSZo4xs/Bsw7/w5+qLxdN1Ab2FVZx9bmBG5UPszvtvN5L5/K3DeU757KR7K/cgIeNiDfcaNC8u4fzbbqCiCg/knSCwoZa5yjuNE+vMTHquPce0zxYdG9+wh+bN8JPFnvn4vdfyxARj72MNDbR+DCBBQdIE9ABfYtJnj1QRkAwE0Fpf/VaXUzsvBvPHzRARLyAXp7Z7WOilH79f6qjruWCRo5wKX7NcDki0cf735RU8CQn3t2vkd5pg+78QSFDjh5gPv6zASv1OcOMMs/GhAt8LZvfUx0ADnpduxujHMe4wHI9cO+xTt/21pHIQuADUCvL7Rsv8YsPMNJo+/AWeWojAIBANPVab+xzYHcyt0+bStv58c63oB75xP0O6B99y8LgyNr33Os73kA+k7lW9rjs8ZREyhwQHTs+PIwdhCAoKwbpN9sesz7kvHKKGocNvZ8G73z/VnWBoDWfImBZNd7IPWSY0eAUdo+giGx1fmKk1uvPQKqMdEvdvoJSK2M2l/trvz63/gS2N0xQPzy4Z2urVZmASn1N57ngkf8p6QwQPmpD2O5Lf8vsKB3heD0LetuXAtg20AbSfdr/1/4lcsv3W8AOha68d2rnmu408tJC8BzbG++59LL5NyfJd2x0fmA+xYR3FPb82zvm6Xt7UvlpGXP+7YLtCqffgt6aokBb76muRH9WVDhsM6PDUjP354ZHWtep/mb+lrzHcqsH1sHZN/Aef97NrT/VnQomYsxB+LdISgFYN6ypM9RdigJREEC6bnJBqP5p7GR+cLfmX7mOWWe6mXy7TuxKHwZgL6Z520n3b7JDvcczf38uJ+fdxu428DdBl57hXVwN8C7Ad5t4G4Ddxt4AtCffdC/918+vKRIgZl0aH3LBhGAc6A52Sse6C2bsGnZ4MaghzzXNRD7Lx8DI3JYDSLItJd/jHcDFhLtovJfNoFkkqjJcWA9uU+TrSKsS1g4vP5It/e7fflvNQnyDKCPlOZhyzQQBaCPLPORzmzSJgZHZeocTYQa8Db4FNE9rCgTQV/+zgWG89bD4hDt3TUZ8M6E6GHBkHA3eKyeqrPq30RZyQAtebB7gPavFkB/Zp+THOY/Oyy8I0/b/61esIFxoDXW9wbKgeTPfufbI518O1ZyaeRz33+A29Y/M40B7RtIdw4TP0DzLf2+GfB7IghTfbObA0JaD9QEtANd+GIDAbFXAWG8a7GYgUFbLvxivy9/auAcWWqe6ECMATsO+68lgLhJKIA55nl9frxJz++WAPSeGV0rX1BsTyxwjGEqBCTdt5T/eBQfxjOAFYOTB3r3ChOdPP6zR/oAru8/vIg9FwU1kDIHZGJ78kLHyCY9r4xNMG+fcPeD2kHAZECrc5QH0G7u6ZFhrlyY8FjuQGHA/3iAL5/7yjd+kAe8tq7j+adj1W8PbxLQ1A7KF5ALtGbzIWBF2+H5XKocJPEljP2A+8qiz26QmVy/fk5yXd12PtvrQ117v3nP7/MKVgBmdm2Cwro36nQrLwxo/nt/dt0HLHw+7OpLUAPf++pyALwjp45drmwjk38kwakPdP3DNO5+nmXHALABx2OV8NaHF5uYDzl/dOoRmNADmB9AHUBMmr10yUN/7nenP1rXPoD3YaGf54kAE7Lu8zw+Hui9h6vP8hlQ6Yu/f3mhF0TDT73rEJjXM777UX1V13yp5V85gKqCgvh6q4ORMT+KPUBLjPHKC5itfnrelH/fG0m5960RaBfAiB2PRS3Awn3qXo6KxwGVKYOM//gB6jew79lUO2QToA+O/3jt5N0/nXPqj47DonM+/uOds8lrkuRd60jIH2Zpx5bHqF3kW35Y+vO8O1LQAFxWKYILyMR3f/gsC+ppG8BdMBs2/nyHJW3/4tH2KTpUb0C58tF2WzeA4AEruhYAnP5lX8B4ZRkv9BOoVVuihtSyaxBoUf59swIQt6e44FC2AQDxtgkGwMBtKaCDCsu8W09gQG2KzPwEUf29f3D1TQxeQW21idaR3Z9riCH85gdTf+MrfuxPBkB582FBNGoRZ4nJ3fcsKfXAZ6zr1jUGAFi3X+DxBtCBKQX0Sm2nkNWycUt9ou/6xjLl8REA/dg+KNsGuX3/tw3ovX3YMdgB/iytJKA/1SzHAOMv1vjxC96y7n3Xq4/yemagA4EaT23A3tiJhP2WDW/9lgmn6CXtAAfg9Pb6Zo8hqIfKTm2i/om9qW0ImOIpLq+WA2QftZ+Ww0A/8vnzXD3fevUJY8QB8b/4aNvAcUxxsutbMhpYz7t8ZOOP6on+0/VU/s7ZOmPiUWYov6Uc1u9RgjjtGisWwC6InMy8OhmrgcWK3WA5AB3wtmWgt6z7y1joN3v14znf8gyel54l232vUTkqPYPnAOfaE+/x+oF5gJ5Htdm2IUX0rqjd+w4SHOUdaH4BgN7vZ2XA2vDMhXzpm7P/JkFsufWeTT2T+t0+la1nVs+yyrCZ5Zt9vqXaJWA5W4eueZMZtoWG55WAIP3Ec273qWGh//wvj8ohAohnZ89Rddr+XfsGz1kQ/iTwnPe58/wk8Nz2m33+6vvpne46uNvA3QbuNvBzN4B+N4L7QXC3gbsN/IsGdc8A+k4NFho09Psv/qv/agYLDTZE5/LZK/GPamKqpUkdoHa/G8S0n6j5JgJIw5swIBdPPqvfBi1NGvEw3D6CM3l15B8tG6AZYGJfmgDGAi+Rv239+J4fGTDsDIM1k3QAaRKeTZZcg9Hjh9zkNGaRbU0gNrHz/2Xv/l6wy87zvv8HhUAPWnrU0JNCT4tNiqFnKkGUQBtDoIS0qVNwT5qaiDrFYoQ8NTP1IBuN+rpS5EayJE9GQbYZVLBsI2JQG0eO45YUelIKoYH+Fy3f+1mfrXsev68t/5BHP/bB5nme/ewfa6+91t5r3dd9XdcvngkwWSGrhhIAACAASURBVNW+D5j/4r0LRB/W+McfgRlsdWA/f2Y+YpuBLhi2Ew1I2Xdck+rq52UyYTcb/Tv7rKiOYx8EoP/Xv/Ab/0LwYhgzx4+2gCIm+mYHbxb3BsoxyDcrHbC9meYtGwjHMCdHvX3KscqBsJiyI8lMAv2L35zfARzO2Xf+0APIf+Ybl5d1v/tfUAiAjwVv2WzzPqsD19m+2LOWgJrqrGWYfEceHaMc45XfNt9nftJASl7fPJH5MQO0AjcwC3vGDPhyfHX1c2zznkc9B/qUWLOXAj5b7prfdQApxnVLwSvgOla39gAAwgQHvHetrePbjdGPmd0xgdYXE/lIcvdc3Kz4zqNetqc5P3DgFQCftDjQGHjdM6tjbOCUTDiQUhIDwL97jYkNHBxQ+bTDykgGvmN2bIxxUuf8lPtv5J0Psxqwh3EO/FOPwxr/4jcfwOFJJOk3ljuAmac6ELznNHUAoDj2fOXsPo907ZGDd+8kIZDH3nXS/2Tku17XBsCUIAK8HGnMA9xj5FZXGMPOS1KfZLb3o/vc/5jJEigA3a6F5UD9hM8tWV9S/vpgS+v54PadkgCW/AbItb36HaWB3rn1S/egcgAiyWaTW9/gOU9l72ae6GR/bc+3XMLK7otAZclAFvtthYnqgK9ux+l5R8Wj/ld5WyTvbfYkJjE2/Xh8H3n87t9c/yd/5QGSn4Q6dhWkWbvHjR8kBbavpMXGAiU5Ng4YmfK3j33ISayQ3NK1Vo6+b/sCcuuUKCSHSAzBKteHqi99XhIChYLtqz4g+mGuA6EnofN3/6+5dwMaHnuOYfO/+d6VcFY7lUgh6F9bmWf/Ybiy0/FMr13zf5c8QdWDjHvXSnJ62vEbX7naNOl2XrIk5feYj889lRlJAOSiJWiOUgAFhNNubA+MG8uFs6//SEnXBtqO3ZBrtS/PaIpMIx3/0c9dyQWNeR2383c9+r5+1XHm2X7k5+f6j/JBC492qi21PTLWykMBot/GrgDhxrzAaMmqGOfuf+PZxuH1M2B1/2NQBxSzVWqeUD/pszlJoHrLM4jeYrzcfKZjAO83iA3UxzqvTL3LlXezz5uTOMZmzJNbB6ADtiUEWEi1SwZuXFFdAsQw2wHwjoVpv221mpsForeeTHFAKynw9vNpIXePmbnBdGCVewZEJhdNAl7yjwSM2swkpZxkDSC6Z29tjBQ6ULljt56MPFZtdY9Bi+UOxOdpztoHO96xWF8Bwme8mErJT/7SXJM+OvOvrAdOeTHR+ci3X/2b17lEB3UwCdNnLuf5AwDERt9e1Zck9QHVKKztZYPozfUA5lvWfbPQd4L0HQf67gDPxVqegfMNnj/7m29Zd0n3tut9V1va7HPWFrU90u+XCkQqJm999RqzsAkxDihxRWwEMxx4jr0+Ngcn3gGcZ2vjs23rz+ys6iPiK9QEO9b2Kt9geX3TcwV4Tq6935Ms89HPzTWK0YzSy0keYPGBSFD/eY47DbB+bAm37znwvPVdC9vB7X3+7bDP2R/quzsp5jkhBvtcXGazz+++e8dw7zZwt4G7Ddxt4EMfUB3cje9ufHcbuNvA3QZeIinWpO5Lv/m//zoGemA5hrilyUOTBgA6H3TBGkB6E3heggWnJuDy8YcfaIE7QTxshIDxJhodt8nNDhA0qek4QPQmSrwGBbEwQkheYvWSxd6TVKCEoF8T0wC8PkfO+e89WAVNygSKrmDRYYGMJNjxESygOEzXfPY65wnYYoQ1GcVq4zUISBzgPHbxmYCqF0FGADppQHKdgu4YPMD2ylUgBaOF3H2fEgFadoCyz//ob/23v7PZ6DeQ/p0LohRAId+OgSMhQsAPwFK72oDpBsgxqDeoAbTejHSgeG283x0LOE76HZAOKCf1bjueto7jmAD97TFOztp3IAmmLVY8iXigEnltjOqRbI5Z/M4/nzIBy/sPIxdQWeAHIIUtyFdYn3RMkuOVXd1tJjr5akDaSIsfD822xaQr6CSZZQLGb74frCPjbCmAVNAfS6zgFuY8lvwGcMlHAy2B+JjjgCcAOvAa+Av8uer1eL7323eAKvl6vumVY+ryAJ+TrNP/MbUOKK8cEhwuAOzd35n7VZmrS6D2AKNHphwY7/rHd/n4kXe8yqQdKfPIyFd2jO2zXeuBttQ9NjhNoYAVgkQBSgs7aQE7esp22N8YxxJNtGfgqvZam8RO71q0L6zdgO+RxT8e7VsRAdBeeQDXGPCXl/lRGXBtJM31g+q//wVbybhj6rt32+9+pPW/+M3Z3rbA+u0hLYGFeoE2KyGh9kHyvD4AgFX37rM6o4Cg/ZKGH3A+SekDGGOh69tYwQO+HrUFfQVrHOuxfl/dSlwTxO0djIUOZJk+dkDOK3HmWEjUhgHq2lnPrYLEJNEr04wNPv6Feae2PaC+/QW9q1Ms9NZ7hmASY1tigvGNp+bQ2Il0dnXUJ/l5YxwJgY0Tur7GbJWza2q8VVkqY+O1YbP+zK8++sO53tqpJAeJM/ros7XByMmf/3Yi1yRUnOO1vvY1yX9HJr19Se57hgxj+cjEYntXj+qu62zb6oediSQfSgRjQXFY2jzpsci759jeQHwS862TNFV7G9n+w5Tu2NMOP/G1S1odG9vYb455mPzTlj7xtYs1O+pE5z0EcAiUoDAwDPkj+dx9nKSS46fOs5xvrXbTfcU8xzD3Tpqyv/UYRxojVhas4e45OyPJFxf7tqSRF7/16BuvP1RXrjIdOevqS7u77EMOE51E/CX5/vavX/0C6/0CyFN9+OjnZnwKQL/G2Acobty6ZcSNxXt3YnVjire+sS/G4ySx/Ff/wwWmAMoD0Df73CdmOP/z9gF6kywnJU/GnMIMVSrgd2UC6m/mOZn5LbXeuSurawLAz3zmJAhQuMA+317rW4XLMZt/YVBuJuVmpe/vVMQwMPukKGYB8m9VqwF1DwN0+xAD0oFaez4k8XcD3mOxdRKHtsw/AK3tWSlsELpFgkn/80buszY8CiSvfcu33bytc/R8bhvJxx1jxnDnXmON++4aea+P9PQb30oO6Rjmo+oEWx+o3n3sfiqHuV7fO5b6kASwQbZXstD/+t9+qSd6SyB6Mu4lR9+J0R9s3OdV4PmOTQDFnyXbd7IeYHrvv9nnvfdqTz1HanMbhO85Xz+pP23lm57Ve+7EYkVS1PY+L07jeTz2Gz//Lfl2DHTbKmdl44tem2cn09hkA+nY58V5JrZyEk3YN3jGeK7M8+HYjCAe9Km/6nf1m62icQHpP/ZTA5ADzwHonofFtyrfyNJ/9L+/lBKB7x3nGUAvTraZ58gMG0DvWLtf+wSeF4+5vc/vOO0dq7/bwN0G7jbwoe+SOvjAC3Avdx3cbeBuA9/NPuhf+vr/8X+b/Gy5Kv5PgdwtBWAA6HsRqCkQRcq94E4BuyY6Jn1NzmQad46O3wQGAE/GruBY+xf4apLBd6/PYcwcf7mCGLL+JwB9GHN8gC0FdLffr0xvfsSbAW7yhrUtu5mvGFC783Q9I396JGl5Q2LkFMwhKWuCTFK162nSWaZ310Ry0ASRb57kg2G9HwYSqXgByAJdBeWqt2cAvUVwRuCPJ6Ks50D02xv9OxtEwT7HMBTQJ3vJc5anK/9ZLEZsb2A08GKD0wB3Xt+Y3qTXNyBo3y0rvcHzjgWcdy4g9JaSf/ZkJ0m9jwesB9QD0QH2AHPl8xs7eQMuLQEK9Yctu86DEwhenwPkANMxpyUABMr0P2CmPoyB7plSP+aFWUCoffpOjre+1DkLFJFr3wB6C3ZcQf4Bzs/9xs4MuOp6q18Mv9b1nOk6sOYlAVXO7WOOYd+zRMICdnULiW/Acft37Esq/DDWgejVl+MHFgGqNkN835vaKDYxYA3THmsYa5sMd9v4D9AtWUOblPg0DPPDBMd8xRAG9gLIWwC33SP1q10Bb4FmfWqHGLSuczPqSVEDkCQdVLYAyLbhJy65BMsdW1z9A9/VibrouzoDpnet1e8+pnbtHozH+QHjgZ5YuuoHeA2EJ/2uHLU7DPfaBhb+bmPDMM1j/YDj6ra+Q1mg9nIlTBzf+bbvfJWFj3n3UjIAX+X+k0Cib7JhoSjR9pKN6qssHbCJAeL8zgc0CYQ6fs8jzXx8qqlLdL2Y88YRAHntRAC4JLjGDo0V2Gwk3d4zoM+ePZjftq1fDqP/+J+P3URg7RlL9FzxrJFU4371f59k+Me7+ihiSMSrffBAH4b2J96ZcVxjhNZ1vN73BY2rD+xqCQz6TO3K2MY9l8S0JdvJrEus0ib0DWOs2k/n4q1KoaB9AeIjH3sSREpUqP6qr+p6wLVzr9qv567Eo8pfvRR8r46HxZp6QXL57/7OtCdgWevG4/vYLXjGbfUEYDmZeu0AW3u8nX/+q1cyA/CdHDWJeEBdZe0/qkTeIXyeR30mIC5p92MZ0tiOl2z3AfvVdsN6PbLsQGtM3guYC5g8TGB2Q/Zv/WYEk7re3rgSWcbK5KhAdO1tK7mP5/P4vAecv/GVh4T1Ww/m4agplNT6+rvXexMbV/mA5sBKbHIM7oDbLZ++36e9R5sf2A543u+RxH3jCwOaNA/ZEu7ew9Z17PaR9CtpFjhafQKtJdJegOkB/CUpGG+3LrBJ0m3fsdMpZ/3wYaD3n2saFZtzXGD6eKwflrtEHccHoGOhl7xMIaw52suWf+0v/Ct/YN4GOKquOkYgLOCcFHLnnDlYEubnOllNAY6bL24g2L3f9792AQS//NNPf+HxDoQe0FvSxZnvXDZaB4ieZ/m5V5VNsojkEW0KO5wiCSBfu3Pu5ppzD0/Sc9+HTXq86J1fYkP/k+vvHkn2mON9/NEGu7dz/057oMKgzVyWC288AHog+vZE3yA65Tb+58/gORn35nQlRTfX/6DjDT+IS8kLr/I9Z+e2WegvY6VjgEu8b5ue1wgCwPPapASe9gNqS/KSaEWJgXKLhEXJed7bPNk7Z8/62nBtnI2VpLfO45q2giEwfSzoXrw37b+y2a5nBZAZiP6+JJIV26jfeN60bOuRtn/2Rd9JPUDsbVdBjUPikJiV762nwoh9zj+9PkYtMaD8mXneegoSm4G++zAg3TabfX4rR3zw/fZe7jq428DdBu428OGpg7si7s5wt4G7Ddxt4I+QFmuiADyXwbszZv8wAF0wRiCmiUgBqyY6TcZMqppQbTmuJjgAX4wSE6cCDU3cOpbJV2XjTd7kjzyYiVnBTSwhgJuJIKCvILHM7/bDBGpiihmAHeC7wEeBFZO3govYj4AMjDkSoeRmC/p2rgK8guoFvndiwZZyJ084jIdTrmEiHTBP4gDvL6yaAl88C3mDuZaO1fqCjUD0lmdJ99jotY078PJnp/TwzD6vjQ5ge8AhTJ0NoAeY1E5qs0D0QCiy7Bu89t/2HN8e51iC2MkYz/qDY/Em7xOAX3slt065AWAOrOVlDoytzWO5b2Y7QB1Iiv2OZbzLqUyVw7XVv4CZGMMkhzE3MZB4ogPZsX5dR2UM3AOqYEjXxwZAeeMrEywaFvgbX7mkaskBYxF2nkBzXuiBaBtAB6qTkh1f0CMRjNXr3Ni2gEiewBs8xXDeTHry565lqwcAgbGZsYpbKBpgIQcKVY6uH6CuHIBhwKxnHvl0QNv2QAfOXd7pRz2AlDzPbzL0gNbaDU/yAdwOaDwS7r/4aGeSooDpJOkrO+BvpGRPMgAZeEBsgFVthWw4YJ9UeMflEw+wbpuRZX7767PetbsvpOsB+ZP48c7vT/kkWqmT6/vy9mZNIJmAhQL5bMx8rHfHlRwAyJTgQFadnULnxRQez/pTP1i35N8lTXiPYaG7T/zsB7j/zDcuti7Z76mfI+nfuSWvjeT0uR+up3MDJ7UrFgvj+5wX+WHz8oKf8pScd/4DZgLH6/8BHALGmIdY6RhY3cv2rU92XtLl3Qdy4rzVK2fPQrKovaPJ+FYHnReATuXGu17CTNsBlSTjjTQqFvphdrdt1z/qM0eZoDo0BgBO1k6cC9DefZrjv/ZgU3ZN49f9iXdmLIWxDETX5lrXsbyDJEkYv3R8fV5yjaRA7wPjHQmM1Wv/SRTofLVbSgfY9fpRdVcdtq66C9wKJMQ659VNtp2kPABinntHGr16Yqeh/qvHrrH/KFRIopGkw7tZkhG7DuO66SdHeUSSZO2DtHrtLNC8bXicVx7s9Jb6Lc9mzPXOMdLvb753vVsq/ySWvP3wZm59+89752MncRTAfsaEAeR8n7XP6lmb85ukLw9zjOFrDHsUnbpn3T/vLeALb3RAacdkCVCZJlnl7zwUGSZBJBb+GVMDPgfkPKz07jUwGdMcu7s2sKXO99J/O0GtsXrzixi62Oc+24b/edt2XqpZElABtADYzRqe9vjjn7yScjDHG1e3b7/JtwOb+79rkhQM8ObpfllRLTAeSM8WpvXAWccn4U6WHnvS8qo52maht091EaBEYr7jA61c9yhWfOrh4b2l0VsAwYFM5nXALGzs2gC7otoqQKxnkuvFsJf82ydJ+51IYZvqurYjwUHdVJ9ta5nr+cibl7KBBSu1z46FKR4A1vn6rq4lElQeoNyeQ7WPtts+5Pgdg6UPoJ/cvbZVnUjc3rL4nedl8s+S2rf/+QbRk3FvPndLQX93sc83QO6dZf1O+GfxtoHzFj7m4h0TUyj56SQeYYW3T9t6X3i/UK6RPDjjhZ7Xh40uIQ/7vHgQy4hREVnsc+A+Brlybha6z2IY+rdYBOAbG11ijeeG5zsSg1iG58YG0Lf8u0Sfjgu4Bp6zG0Ta2Kob9aGehzzP27/PwH7y7QBw4Dgv9P5/BsZt4/ezqsQGz2/2+R2fvWP0dxu428DdBj70XVYHH3gB7uWug7sN3G3gu7EN7AxpADq/KwEgk4Ym7H9YYAbzvEBMnwWsmsyYKDaxEzARaLkmPD/38BcumCAQIrMf44SvZ5M1jK4miBjuvMEKqLY0OSzgZzJocgqQ7BgtE0x88d4FVPO1w0Ahs9c2pDh5lF/g1t//jTlfwdUCtICAzoNZCwRVhsrUtbdvk1bs882CL2DVwi91s33UVQEg3oUtTXYlIajr7StW3TaZxOrBRt+S7rc3+p9tksr2PhdkxmglK4uRvr3PN/t8J38AgTHEn5e9HmDN4xyQCWAFWAPGt1z79lIHaJOFBxzaBggOHO/3Bs4xzjHmyXJjpbcfr/TW+Y0J3z4A5w2Iti+GavWJSQf8BrgAz+1DcpwcOVCRVC3mY588ieuH4zX9+rtX8gOJ1Ql4/50HYFOgCYje7wL32HAds3JcUumLuYnd3e/NeO6aK6/yY+p6zgCB+WxLFuCxjfEduEWpwLVjlrcd1jAwjBw3z2rHch+writDdYqVjRHN25zcO9DWsTvP9vzent4AcvdamwLijVz6kvYHrAOiKwNQnR+56w4YtWBYS/ro2OpBokL71f54eG8rA4xv2wPQXZOyOzYGLbY4drqEEOC6upfwEljYcfSH9iFzzk99EmSORLX9Sf23nuS64wOze/8Apnt/VU5sXKx47HnKABtYJz1eWbCOnU9b0cc637y3/6dHwlvPs34Ds5Wj/Xi1+5RQ4bmJbc7/fOxcjjf5xT4/1grsXmyDYT4A6mEfY5zr/z1H9NPud2MYsqkA2o5X+6mfY6JXxu5F73rqGTyix380Jlfywa+/O/0Hs0tdYpdLFKpOKqNEBQl/kg86buXD/jeO6VztX7kLCDdGm8SgwzYflnEJRodl37Eu5v+R3qc80D2hGEDJAZDdb88VahodY8ZiX/rtKav3Xu2rew6odYzuYf2xOjRe7Dr6j6e8JKkWyUbk2J2rfcez+Ej0D9D94pGQVH81Nmzc2LrO2f8jTX9k9FkdYF13vt4rtqmugAnaW8vltXzY3v0HvMAUnwSc7sFhpI+s/zkWSWkAtn1rPwNgnHcSVi7fZixeYHttHpvdQkKbf/qMY3/+AaD3SbWFAgtFB3K51CyqE97uk4gQ6z4W+fnO5x0wCByl5OQ92bqR4T7KToBUICmWtc/mAeYE2Nf7d59sUgCez+xzIHrrGiu3XcBJ/aLf7SN5l5z6ZqSTZ+9e90wBmAP7G4sDwkfG+0i8KxsAve/AcwB8xwDKd4zuX/eRfHxLQBBAq7J2HNeyk5tfBaQDzwFH6qZzktnvurYMu2dM912foBhCchnwJSEamA5An+dv7O+f/KX5XdlJwqu/FgB+/5kHSlKQMNBn9cA/fvvBk/bH9N9s/+Y86ryl67aP9tNn2wHi3TNqBwB2stASOJojK+s+Bun2Od5JvJjEhFixh8G+VQ+2vLs5Mkb6MwsdiP7MQueFTsb9ZqF/sOzzLPI2SP4Mom/w/Jl9bp24RwuAGnO7dlJ/2qB278GerRKsvEdGheV4nrMQ610jaQ4Dnad5x9fPap8973sWPAP4CAljIXXiKpvY0PHajrx6bb54SoSIsXM47Rs4Tk3C8xcJwLNGvxBDAsT7BMpv9nkJVX3XT/rNBoEfes/GjrEZ6NjmAegdj785gL5jPgPrttmAeed6BtgDz3/spz//v9/s8w8+Fnovdx3cbeBuA3cb+PD76uCukLtT3G3gbgN3G/g2sqRNGprINOnoc/tB7YAMNsMG0FsKUgHQCwZgWWFtySbefldN8shV8sKTgVxgpcBEE7k9gWzS1oSNRG2fTTj9V7CzQG5BU5KqwGsBocrWZK/yKeuwjg47oAloAUEg93il//yDFT5A2pGObhI3+x2G0gSb33lIxJsQA8+rh4LXgYNdT3WgbjBNdiZ19TTypIf1DlwnT9h9KmhSMGhLL14sEmz6jz+O2QSRrKTlWdJ9e3HdPnp/uiBK7POZJJf5f+TGC1YUwMBCB0yQt9VugHQW4Dnm8ZZ0Bm5joAOpgdHAc+xfgPazl/mWycb6tR8gHCN8A98Y5879zDy3jsz7/sSc32x214JduwFJst/DrFwBIIyKLeUMJAKc87B+lrDuE2iHDYvNCbjARuxznldvPZ4HwIIrUHxAAiA6hlzPxcoEvARyAp1HevgwuStHQA2gnIx65cYQB3BJAnDPgNaSDDDEsZ9dMyBV0kb1tAHv6hyI3z58qK9jL/lxQP4E5g6g27XFQA6UU7YN+LsfnVN73VLs4/m+5P35gyuzttx9lzSwPcM3mF89AsdrG5eU/lIyAHYDcjt227VOmQHm4yGuXX7mG5cEvL4D/JdY4nqUEVvfstnV1Vn/jyLA2U9boS5QeQHRnRtYrl2NPcCRsO+4gGAgPunq7m8ApAQO9Uni2310TzoOD21JF9jRtd/2c47+GwnRY0PQ+VrHtqL6otzStbq31V/lax3Vg82YH+/Ok8wAeCcT3CdAkzTwyOt+/B/O57C3D7u2c2G3t29lwzTuPMMK/uSjLoG6JMPZqXSszlH/dt7KRGXGO7/xQUHogEqS3j0rqosLPI3xf2TYuyek27HLsY8l1lWWkSz/0kPqvfqvTWCEVY7qve+99xufVVYS/9oBZQas7p0gMcy0d3/nuie1BcktWNvUFvSP2oV3WOUb+fqTIMAyo+ebZIzqv3ru3lR/lbW67p4ApiVrtNSOxif+WHlUPgxzz2/KAuTMWz9JN1/85mWxM8/8k/zR9iOdfxRGGvOx9sAk5w8LaOZL3rGAFNpb69uH7DrgnyXPqCT85C/NdnPck5Q597/2d5LtKkvjUtY93jnGzNogUH2sfg5AX90rR8dumWs58u/k7SUOAM27j9qlRINRyTkguWP3HRjPv925+75tEzDit6d36xp/Nl7F1MY+D6AMeGycu0Fz2wA1MbkByn1vzNt/gaTP/udt02dARu2MB277YRVXFiD4VnPibd12vdcveffXPjufW4r+Ytif8m+wFlDcd8kCF6P+xz85+1c3mKVAVtsCjLHZ+wSgbxD9ea7WdaoHILNrlXDRvavt74QVktHdb+23dsV/mKoYUAlrG/CvviQcALrdu5auQ7kw6wO3MOPbJhCq7QKtgF/NfWKWYuL3v99930kUFvt073fycUvHdT7laL225dy2s4/fXVNzMokfXbN7JqFS4jNWbsfkLz33YNlwmbNtUA6ATsZ9M9E3gH5LQn8wcR/2eM/s82eWuQVYvrdr/iPGgQ1ev8RG7zt7AoB3n+1Tf91JduIqo9p3lLQoifQO7f2MeICMULykdif+QvGkfbYXe88D8Z0+G5eIl2wAXRIA1nrtlIQ7wLtrqV+QYN9EACQAjHP9Qt+YeMkT87u+gn3OHrC+o794BpRQFHj+l3/kh6aety/7ZpgDzi3bZ30zy58B9D4B6I4DQN/xllv5747T3rH6uw3cbeBuAx/6LqmDD7wA93LXwd0G7jbw3SwxjYUOQG8x2Wli1tLE4lWBmc1AL1gBQMfckJU8TKET7G1yx/+7ydyW5JyA8SfemUkbKUM+cU2YTHBIBQvWF/jbsujYtwB1zPORpTyTTB7qlYOMOpY3v0hBI57kTTgx4JtQFnwdFuPxtjYxHrnSw1irrCRGTVLbhizbJBZ8/AsXcwVzXMJBdSnpoHoRWCsw0yTwh08gR3BKYG/LuAt4dUyBSDKEf5ikOyD9g26v3+vscwHJAhnDLjwedBh+ZHG3UsHLmOYYuM9s8w2gA8K3VHqfmKD6xoDQBwgELLedfTcYvtnogL/+D0Anx7291YGez8fZ60nJdwws40AO2/e7pd8BHgAtgB8v85HIPmA5n1kLcE4ddzws6M4/YNnbX78ANCA8wLx7FEAxXs8H4OKF27NpmHTHN3MDdy3bB73nIgnfnhMb1O53oAT5dmUGXNcu+FdX1i1Fj/Hcs2oDvfyxyakDzJ2X5HL/S0LgFz7A5QGsSXJvP/HaBxAbE9xzD9MdqEaSu/vcf90j6zYbe0ulWzCwJVtsuff+48GsP0hIAFxPYsVpa2Tz26b2JDlA+TH4Kxdrjivp4wCH/QaE608AQ5LyWO1bBcA9B/oPQ/bFA6R3fmD1XPcBzDf0LQAAIABJREFUONUzxQblHa/iUyYy/pjEvvOqlkzQdpIbANCY4tWT9gKg3mzwfrd/bay+UV3ylSaXr49httdfOrYkEG2pbalwkHN3T7Xj2ebFA9x3z7WdzjFe6W8/JOrJYNe3gNj9DrAYWewDPrYM0Pgzv/o433n+9v53TdQIMHJZRNT//sn/+S/n+TpJAp/8lRkT9S5v2/p67OmWtseK1icoV1DEwFYW0MYOm/HMW782v6sXrPDGHu1LnhwwDRgFqHeMxm+N2ar/9qN20xit5xUfcOoS/Ourxz534gyp/frLgNTHrmDsBY60/LaFGAb/Lz6e6djmnqktbDnaj589z/nuZfessWHvg8YpkpAAuz2PA9D1ZWPHltZVJz2fa2udb8Dm49vKFmLGc6c/+J+MLcC6+u0/z1vS+xjp06YPY5xyA8/z8QF/65FoiQHI57771Pkba00yxQEse6+QVp9kF8c+CZwSTbt/le2SiD8s+7ZpnMeSiFoSJiIWOguAtqttXGz9k9w3VgMvHoB55en6AfVsHVrPxmS8z49ku0SDxvzG1jzPycvzqSbj/izJDpTGUh7wdTGEAecYvsa7wGkM8G1ttD97Bwc8An353/bfgJhHLpx8e78loHYdAH5AuYRXYD/A2DZAUmXfLGjHIhWOsT7s/BiUa/zetpOUd64fk71xf8uzvdbzPA3zvHrAKr2u8WO/fD2Lmq9QBJnEjdMm2DtgmY6t1JG7B/aSHXc9o2x1wGTzFQC5pF9gtkVCA2nlvm/J+f17S9Lvuej+/TxP3f87joUvMob+LpfyBrzVVlq3gfnuwU5oqI4lbLjfF6v9xz95Scdr9/2mksI2rKW6w8xtCdBjqfbMQN8Aej7ot4z7n/+8rwUpYbPP95z/Zd7n/kMAuJLtT7xgy7e3rrbT8whbfcvBU32ZmMZJypL81fPfmIGM+wbPJf31SQ1hnofHhkO5AeQA7UkSPOV7mS96YyXxpMYn9b/6UG1cTIc/OlBau+eRvtnnm40O0H72HafY0NLxMM33M8RzpedE+1fGjrUB9NbHQO/787m2IsWzfLvP3jcvA8+p/t1KER98zOZe7jq428DdBu428OH31cFdIXenuNvA3QbuNvCKCV/AqAlfPs0bRCcJ1qTnn/7e7032boGZ58AE9nnBqQIHF1jEq/tI0zWJE1guKEfms6BnQbkWwWYsJR6SmF4dh3yYiWb7C+Bi6poE9h8p6M49rO8Yvy9+a8rVxJC0aBPBJpuYO4KX4xF7gpsAO8HxPgumAuV5C1fGgrUkUUfi7N3fmcCxyaIJtGDjyPidCWtBtCaH/TeM+I8/gnjqkkxlARtMCswWgTnZ24Jw2xOzyWnezEB0THTLlhbbbPT7WfLHZ5/zPse8rL1hjwpYY/NupjlG6PYq32AYOXS+5YD02nufrcfexSbn6YztDczeYCGwfS/8f/3H97bj7HNtmXbg9zMDfW9DJQIj3vn3MQHqmJKufwDBA7wFmASs9J2vPP9iYNuAQQdQxuDGeMXK5DdtX17Zkh/IU3e8AeWOXG8L0DwQjSc6D3TPxNoCQLVzlxBQucdv+Bwf07JlAPLPfON9zzgg14DLBwTruRLA0X+1BWCs65UogGndd4AvgBKwdUk3n3qVdAF433LzAO7K2XkHGFuJFLYZWeizHbl519d2AxK+87vTxrDbtQXXAIzm7d528744IJ5kjO6VhA/sZdc/9/TIuWPAYujzMB9w/6yT5IExT2Ye4M0rHbN+X+sGr3mMd4zKjHm/+zR2+siuH1BdW20bygGb8Q/UB9yrF+z1LQO+kyOwiPUXzPGxO/jiN68kByzt2k3vr+5rfaL9MMIvD/rVF0eh4YDmA1KfdjQA/889pECnjJ/5xtwTSQ8D5ObReWS3B7w/gCGfTmxkEuubCb7l20mst90sR+6dN/yWA8dq5utev27bzinBpnFQbXySSz7xzsX6altWDQOgv/bli9HMJ7yxBS/1GV98+n95yLkfae/KD7D0HShbe5nnzXnWVO9UBTpe1wwkbswiID3s9Hd/Z8pMwn2O8YmvvS/ZRNLOjMNOAomEDyoB3ffOC3gfBYaj/DDKFO/8/oO5fBQsJPK0fftJFKvcAvXz3xl7TVLB6+9N/bX/jNn+3iPwXz25X9Vh9+Xy4O59epQxjKeog0x/OeNHsv+dl1XKJBYdafxpY0ceH5O6a2y/6nCY5699+Uoc0a4rC1aeuq391e7Gq/z4no+PewD2seZwHZ13zneY5cYG9mvMhuk+CRivfXnqjM85Njggo/Eh6V5s+rbru6VjSGoNaBlQ/fWHL27tZ5JHznkkvHRsDGTS+23L953ywyQvvPVrAwYOuH/GtOPVfsBpySzAZQpI5MsB6C2tq19hnwdAkmrH5t7AusTRbW1UYikZdyA6wNe8pf8A3wB4ADMrpyn7kXfvEygMBDXexjxvIdUN5N9KUa3rWhofbLC9fcwHAqWA7ABXdSAxICBqg+YbPN/Ac9tVH9VV53IOyTzd085H4lliEZUBczTKYZtl3r0ik7wZ5p0PsPsMXr0M/DavfJlV2LezPB9jH+tV3/+wZZdTPQL3N7vddQLQA7T7rh6w4mtn3W9S79WbhBDzNm1mEjc+8vBnr31sj/me583HN4i+AfR80LeM+z1v+/MnJMQ+f5ZoB1Rv8PxlUu5Ac4xuyfv1T/N54DmQmmw6ew6JWROvOIB4z3RWd2xQNngOsO97/V/MoedExwSOIxtUromRrO8bQN8sdOA5ufSOO9dz5Ntr1wHtbYPd3Xoe5y1k3zeQ7XMD6BQaJJpIjnkGziXM1Mexz1/mf77B8w2Ot5CLb90QH54A9GfwvOMhKtwqEXds9n42323gbgN3G/jQd2EdfOAFuJe7Du42cLeB7+Y2YNIXWzbAr8lCS5MJEmIB6E2EmmwA0QUWAOgtsuxjoBcMaBLGT1ym88h+HRAFUNgkr+BqEzqyoa0bifYkLw+btEDdlnI36Wx7EsdbOt1krsliQSGTQxLa2FxkCp2/spHDLFDa/00OW9d5BK8rM7BumHtHNhcbno+1yeRIjn7pty+/+f5vQjjsjY9/YYInJsjAb56EMsJb3+Sy4MsO5ggmCsQUmFT39iuYKtjaNgI6BScL1GxJdyB6QPAt6f7tg+fP7HNADfYa39faCdAJk1R70Y4ByRvc25LtgGQANUY6gNr/QHhAIAbtgKyHKTvyzYe5CzgHgJNm31LtpOE3g9x/QD2/N1i/vdM36/1ZQp7Mu7oBMgJbbUPqnNR49csvGPgF+ACc8NZuH/WOFd3vAJKAhEABgAIGaMDAeMcen2HS0fUf/qhAdEB6fWwC93nankQAYGNlx4iXSKFtDDD54ltAUWUnxz3s7c/+9sUCB3ADPoHkm70MgN3S7Zd0+mmLANXqCzhKkpx3OjDbOYHUPrsvJOn7Xv1OezpJCoBjLHLbT5s4IOZul+SXh4F9mOuuzb0E3HfOth8w/sVDKpq8+cWOXkA1Bu30i3Nt2haG/wa07VM7tO2Wbgfm68vW2W7Ay1Nexx/56AMyB+YOEH6k08mxt60y2s8i4cD9nX3Ofbx8lc+9u2wAtK/DegccXyzx0wb1I20VyFtZyeF3X6oPzHkgIan8KcdhGQNex0v5JMQAc/vUn3tXVm+APAkwI4n/4rFN/bLj6Gv80HnuAtTJg/c/uxjvbX2F5cPInh6Je57xjQtqT1hivY+908dn++2Hfzf2OxuJyojV1TMCgF5dbU/SngveC+0DzB4Q/ksPlhg5bqz01mFNd+wBhvMo/tkvP3yJD+O78VuB554/w47u2dMz5Tw/qOdop+4zFQL9kTc2sJxqRNt7NxnT1QY9MyRJAKvZURTo7x4bR0laqG4LtvMFtq8EGPewe9I985zqfB2LZHzlvWTKT/thM9Ay6gVvvjfXoE4q07T519+92NeVcfpWiR1Jl5/kkUmcqI2c/jXM8NffvdQQjC9bV7kmIeTcZ2xtEu8jfX7+6152jcamtqWm0LrGc1QNMAxZEQ0w8dkHABpAwefceYChkj47RucD4FcXZOf1B7K/o3zx4rTP5RGPxdyxKqdEzFF8CDiPWVvC6kd+4bIgwkzmd4u5zDe8TyBzv0mA+31JYy92d8BwY2mgeQvpb6BzY976SGNoAHrv58q7AXKS7cbQMx4/KlF83Pmf8y0HKG92PS93UuWVA6De97apX/acUgaJBnyDJQdIHHBt7d/4P7D3X/sL/8pLAeD+7xo7t7qq/FQJrjZzQLBR3nnjK1fiBul9cvuVrXK6H7EwNzM7gIws8gbGXwVePzPEX8YkfxXgvgGxl61/1bFftTzbk70MeN/HfxljXT1U31tmHtje3LjvWzGMmgAma3UrSXoz1bdXdEuA3vZDf5mM+w2g//kwz/8o6Xbv8a1M8yztfgHtxzLOJ4W8UcT4uV+9AOltZ0e+nYVG33svUPzDQG8dmfUhMXzpAaRTCKx8fdf3Z99jMdI1iUVQ5SMXLylLzEUin/jR137zNwY8rv/UX9qH3zjLjc1Ib8EApz64gfRnEB3bnMXBc9LOc7/Vd3sH1H+wz0fB5zcfQP4G0IHo28t8s843mL/Xb4D/ZeD5Ld3+wcdA7+Wug7sN3G3gbgMffl8d3BVyd4q7Ddxt4G4Df8QEEGM2FvrzxKTJhElQ656lAZuICERZClI14Sfj3tIEsAkalm2TNGB365vgYcsVZJUdzf+zYCk5d+x4E0dgOtYuQG6D6ACyvneOAr+dp8kgxheWBXZUAUVsJ5PfFrKXBRMrww7iAiaGsX5YVAUcKyMQvkkoqXxe6GTcm1j2G5umgAnJxD4F7QquNEkUvBEgKygj6EISHohOGr7zA9EB6ED0K/j5kV+4QPTbF/3be4YAz7f3+WYu12Ykc5D8BzoIppClBoRvn3LbAscBd8DnYWofEHCD8ABs3ulYnL5voHIzwDHDN4huGYbvAUCf/9ve58B7svHASUDf9lbfstiBhBjrQElWDNtvuu2wKAHhgkWkaQHC2JI8z9W7BJzqF3g2STsHOB/J2cDF5V8MoAscqJ/Vd9oemAdM73t9rMApAB0gRCa78pPn7v4Bpvvs2YH53PVKviC77HnX9hijgEsgszrdTGuS3cqAVTl1+8VvzjaeZdjA/Lv7DVhrveOR2K4d9dwb0PaAxpIgAMW1Dc9rbG3fNxDcdUimcF6AtKQJXvDY3EB5oHcLKfEBzs5x1TvPc6A+9rwkA3L/kkxIr2vX2vAA/ccj3fvI/gBRYLG26DrVOdlzDPjqkTe84+kLKRi4drLttd3WP8ur+95+A7AtyfUBBU/yFwCZrHll7HklSaV6w0rHdu9YlA8GzHvndy+md8fqvUcZQpsiDa8dYT9v+fmrHZ0Ektpf10tmGKAKIK8vksLtHVa/LNBLgrvncQt1mwHhD3AOUHV9ANK+80CneDMg6AGTqFTUx+vrbT9e0UeanGQqufDquXERO5vGGPxF2w9wP+Bz44tja9P+bdf4BIBMxWcSF85/jbMaU/Dyrty98xuj8Wj3DOk+UfuhdDHy56ftTKLFSULxzGW5IPFi95/uS21Cclb9yLl4cfNeBWaPJ3nJGi8ebPrqpWSF8fwOyHv9vauNVi/Vdcch3T7n/Mw3phxscmo7jaW69x2XtQ7W3SgYnPtUu6v8kiOBx2TgK+P03U89GOWSOkm/A/HJtZNsb1tqRhI2+Ni3DVY5hq//KCeMtcuR4R2P9SOVTp6X33j/YaED8htLVn8AesB+5xzZ9SNZ33c+75IDtNd53yXxfqR+q9PeeRJKsdwx4zHmeWpPPzzyv1SUeIsHmEgQ7dN41th2g89ksEm8+837vGVYvwd05KWLoc0/G2OYT3UgC1/w5iuAb0B/342DAdqbhb4l263nWy6BFbu4JcZxY3TAtzG6a64uMZDVlfmTpAKJA+plA+gvY2OTJjdHqB4qS2N9Xu09Gy6p+hSwfurh8475PsB/84PlEa5unxnlr2J6vwwEf5WU+stYohaJ2vv38zb2258SvXfC98vO96cB4JVFUnPgnXqvrqyX8KwOd3KHhIRJSjjJErXl2pe2wkO9e4WNS9adLzoZdyBdc/w7DvSdA9DN+y7w/LDPtzy7OAT58+f/AdcAbiC3ZKieB73bn33TeZFLauo9tkFy6yiMOLckPCp7wHWxGe8ZAPkVRzlKJ5WlY4tZtB65oc9+k25vCYyun/Q8qs13XAB6z8ael52v53ftP8D63X/wpfdJqQPQgdk+eY5v5jkAXULPBs0tng+A/o5Hcr7vAd4Y5FQfyLYDyTcD/WVgOuD8Bs/vOOz9DL7bwN0G7jbwoe+ROvjAC3Avdx3cbeBuA98r0mOxZg38myy09BvjmwQXFrogRaD5lrWbwMDffPMKSJH7CxjGDmzyVuDS5HGYgj/36xdDRkY0VmQBxQHTP/q5Oc7OwjYxJX8NMBzA+/iQA8ZlXGPUCFIWaJzg4ZkY8nq0Hxn4yo/FCyghsQy0JNG9fdevyeqL9y6QHJOtyWYTx4s99tMPb8E+LzbM8WTEfOF/ftX3YrcIRmLKDKv9yL/zk8dELzADRJ+gzY9/8tqvgOnLfNFjWt9BmZcHUvSjCZy/dYLxR8bdb6Au9rlkj2kvB5QDdg+oepja+z9gnf94nxf4B6hjn+99AX8Awb1sRvtmmm+pdsx0wOHeDuC+QfTN6N3S7BQj/KdsgOJLwvuUF3DadWM2Yz33fOjZABCqjuuTA7rFBDzyw0BKQDlG9PYNb59AmhZsUgBBv4ctxq/y4w9vQH3m+v8nf+lKSKlvAdDrf10PD2oMYAAqCfTAICAosAoA23WQTiY9jMnbs433t+279mHtHuASYAR4BhBhqbed593U7UkiwnoHKncf1H/PtmGo/uJDWh7rG+td+SkESNoAOvNzx1xtH3XQJwCZCgH1AudoP0omAGby76TMyWpLMHAPur+SKlpf+fmeS5jSx/jN67fbFqH+S71B/TqfMrhGZbxA9aO0MNL75xy85EnCb0l+yQjVU+eSSCA5AFjdeskHbQ88pw6APS65JJBTH7iSxE6SxJV4cI6/2ePeg70rpy185hsDLAYGUw1Q5+4XVjtJ863GoEwS3+wj+aT/SE/rm1fCy0piAdzVL1s/YN6b713JAZWP3/nc+yPnDkTvOyn0xhoFVntGk6Tuenu2xz6vj/fZ86ZyU5qYsr325ff5VgcUNwYYD/D8ro9FxCT8HJDfWKU2PaDv8eXG2DZ+aTwh8F6ZCzBX1v4TaO+cjRWqk45bO+t8Eha1Lc+LfgPV64Oeq2wkJORoC5JN+l77r8zzvE5+Nmn38+4zhhuJ2X/4v805uhfTno6/eddR+THyq7vqEhDvmdzv7gWQnupP9wqwDECXTCRpsvIP4/q0R2PAUZX4+79xJSbN/k+gckv7aGuz7d//jcsP3LkBzFciQO30Y798JX70vuBHDnivDrr3vT9ql4D4YYafY0x7ef3dRxv82C8/+uXr7865Kn/lrL5HSnxZGAwz/qOfuxL6doJZ1yl5ijQ+1nplbdvW176AOHyzXWvHIPlLvp2cef8DoiWDUkjabO3WNXatbhq/zjt0geiWwEbgIpnstuEZvdcF+DaWDsjsHdwnkCbQs99tgw3fMUiqY1sDtLuuyomlDmwn9w4Mx9jGoudb3hi9xXVIHFAPgHf1Z13Haz0ZeIBryzOA/u/8m//G+4BgoC4v786PmR/YChRvPRZznzzIn8Hpl8mtv4w9/kcB4xvE2qAW4Nm8ElD/DEBL1raOh/pe53ivOt8G2rHmXyYzv0H4V3mvv+z6Xyb7vhUBaoPV91YU6F60vk9y7+Z0LLew0/mlY6NLDAlAz2P59kH/8wXPx/d8gefPUu1Y5q1DHjBuvRLijpT6JY9ekt1Pf3ZA3t6LLeIdbdM4wvuhZzQlGiz0HXMwllGuYZwfQJ+SCSZ7v4HoFzv9LGxB+mwhNe9c29ecAs5f/Q8eyTxjOfBfvDkxCP8FQPNQbz8WGxjhr5JQf5ZGB6LzO//DwHPS7e1LXr7x3QbPO07PlUsa/sd+6g/4nr+Mbd5nCQOA/ZbnOErKEHcM5YOPf97LXQd3G7jbwN0GPvwH6uCulLtj3G3gbgN3G/gj2sCWnTZZaVLeBEBWbkz0PptUPAPoAgRNjppYTKDobz48Dcfn6uNfmOBAE6MmWUBnWdBAGRM3GdRYRv0ugIuNXoCxidw/+T//5QWk8xrnAQ2MGAbvYX6TkO+YE4Q83qEkzjo3aTKg+gDNR7a9iWrrBW4L7DbpwxwO2Oj7gOKHRSxz2yTZpLeAXN9NGmdyeCTbm1xinBckBa5j7BRUK8Ci7gvMCL5gqQjmCcTt4KWJ71zni/cuH3Qe7LwcN4geo3qD6Lf02Pv7UEkF2OcpOWAzDovtSPWOf/YBtyRckHrebHPAIgbxBs6wa4GYgDdS7zzDgd4bSLctVuwGqQGTLfWhl4HirQeOvwpk35LygEdAI9CexPsG+AGRgHzA3+VVfcBvLGDHA/i0T31sgKjjBQ20w/wflueRB2890HQYjp//Z3PMtu0Zs2WHA7ys27LQLSRdA8vrq0DzPnsGbgC9Zw4gG3gJpOQpzaMcs9M1YHwCXLUljGXPG4kJpJaxp7G/PWsB6B1npJrf+f0LQK8egbIYwgCzLVOOkX5JPR+gtk91GwDXtTlX+zsPdvo829/55/N8bN/qOTCtda4Rcxsovb3Hsc6vRKzk2Zf/O6Y1b/iuH8ta2dV5dTcA6GHnSxbRDzC69Sey+aSrB3A/nuUk1gHmPKIBkJVlbA0O21pigbL3LuHD3rZ9Auc3eCkZo8/qtHU8vyUSAIjda+0QA7iy1dY7BmAfc7966f+R/X7nnz9YtQcc7pg9wzrugKSnrZCiJ9m+pcHbt2NjD0uC0daBdrVDcvJdB+9vbGbXuK0WgIbbC508+ABfB9AeNvin/9GUs2Nuf3UWEFQnug88z2sbvTv5j3aeyhN43tJ3Ht+TqHOSppSFcgWf6ZEcT93heLADYBsj9J9gd0BwS9tglhW4ZkFT++k4pFGNS0YZ4O//xoA2vef502PibxWCbeMwxz/qCBJyJNtQLgFIA+ElgrDkYcPTsXoPVvbuueREkvWdD9vfuK5nZc/Q2oIx4yQ2HI/5kff/9KO/TuLGSaDsnFjRZMkpKfQ/hl7fKRtIcJTUKSFrEh7OO3yY8G89gOa+A/L7XfnqE6NAcJIlAOe9H8hhA8Qr37ynTjnZCvRfY+V+Uz9xLkD1eKt/7CGt27qxJvn0Q0Z9JHWP+grf2squD7A8wJ6f5KtjU0Sufs79+kP6nYc9f/e+Y/hPu3/93Uvy27XyYcfenus+DFqe6GTbsayBzTzFtxd649kt4w4YD0zuOEDl5hxA8GdgveP2f2BIAEvj6+YqAaIBl+2vfNvD3P1qnTExMJvyjGsxLseEV7btf84XHLvetkBycyaAPMBUXT5LuLcEBL0MzH4Gtl8mc/7tsqtfBYS/CpQGEgPAn4Fu3u0UtAK6SJ0D9TfgTxp9J2hTDmg94L91jbM65magAuWdi9T8ThJ4ThjYbPfNXn+uA6D6/u/Zb5mUvqX6qNzNryv7ZqRTCqAkVpvATK8tN5asX9TGKQXwi+6z7f7Kf/53/wUA/fZB/86D58++5xYguXe493HvZ4mjVGSA3cDzYZ+/eG/iAe3f3Mv4Q/I7dRH2H+Ip3q3t31ilZ3lzf4l2ytR6FjO9T4DpMxb61MN3XfxCufifS+Tq+d62/d/25NyB0S0RMYoZ1Q96DrY0dul6+r/YB79zDHbgOzIHxjlQGqi9l+15/rLn3X5W9btnAHJIx+XB7liU/QLOOx/w3PmfwXPA+WbFtwTGP/fH4gV3bPaOzd5t4G4Ddxu428CHvgvr4AMvwL3cdXC3gbsNfC8B6IF/PNAtJjN7MvTMcigo0ISkScYEdv6T1yeI1GSqSaDAWJMvXlmynQvgyXLm3UUK1mSuyWKTwgJ8BaDJfRbYNrlUThNNMs+dr+PxIccsx3zixynjuu375FneAowpwNpED/DZOTDdAS2yzAs2N6nd3uvjP/n2g/m26wKIvj3umvT6XtCv+hRwaxK6mf9YOoIugisWwcsCnAD0jl8ZSMOToxTcJIO7QfTayO3f9Qf7UJPi7X2O3UXytPZbe8CA40e8GeLY1gC5vm95aUxzIPMlxX3227Lr0+4PIA2s3hLugVrA7O2fXl/aALpj7fUbON/bbTl2oLw+guUrcQAICwxvuSS9A/g+/88GfO0TWOk4vKHJkAfe8IcO1BmP6CPri0ELpOLxXMDJekxav7Gtsc971nQvAyxIRW8mOp/Xfre+fhP4s0H0Arv1JUxIDGsAJUDKufl1A4D73rMEkNq9H2/pF//rg/l9wOnNDN9S7RtU3/Ls7okkIWx433myA/cBxu1HQhyD3fH4kUti2CCd82GZY3jzKObLzlt9+6yTf96+62079fLity5/8dqS+tEmJtHiAPzKiuXashn22id1AB7p6mJ7wQOo+Z4PE/0A4rzWx2d6MewlxWD96ofKpj9KUtF3Jmni+KED/jfQ7b47Z+BP+02g9ViO6H+ua8DMA2JfSRxH2hojGwC+kyCudnqAaMks9te2JQzw3SaR3XaehY7ddQbe1e/0TxYHlBN4WF/M8wM0Th99873LPqH+yEIBuM6Kwb4SBqrT2p5ntuSZytz37mugbs+57m9jiQKtjTM6liSZzkUKfNrf278+7aBrBoRiA7ftSGqfcQWrGM+pytw1d76Osz252cM0dmg/LO9J6Dgy58Y7JNwbq/Vc6j/y8gBk9cpSQH/xXKi9aG/bFsF9o8BT/xoW9z/83y6mfGXHbPYexHb2zJ36fvG/Ttm63t4zOxliAvhd22HnS27pE1gPZJf8Ut12bslJwAzjzK6LbL9EoY4lacK9r96x5Eey/ID4Ayqf8nScyt497d5ZQFTSAAAgAElEQVRSPdAW22Zk2j/2SIgEhgMhRk2h9rkSPHihj8XAUS9o3wHoX3/3AtIxDcdr/cV7c6zO1e/qnPwvK4NRmziMcol9XRufc4l+tS/HlmTQObvWGdO8eEjgd2xS7oD9xpbGj33v0xi0MSwJdID3BpOt73vAIbAZoP7sex7AsUFq4CIAvXUjWx4Q8tf/9oAajad5oEs63V7mVJ4G4D9e5N7t3utbjn4k2v/OZy659RKF63Mk5iubhSd6+3Re424y7eTg1YMFeE5CfQPozccw0Hmh/8V//V99pXc3MAlD0/cAo74/y45v5nqfwG2At+Ngrw+Q9Td+8n3s9sBuCQ19Bxq3zrb86t3Lvd5/Eh76bhvMUHXTf8N0/WuP7+qKT/ku/wbXge8b8O/7Mwt/s1o32A5MfwbYfT4z0p/Z81tNTMKF9u+ataNLNeC0oc2MBaBvH/Sb7fqdU+4DnotpbOB8g+nb/7zvVGYwt4HQrFiar/dO25LtbSPJbqxiznuEPcm2ovNMl2TX+03Zntnlbb+l5IHrm+0e6D2xkE/+ygWUtx9P9Nb1XcyIV/lf/pEfmueQRJL6bHEOcumBzWJFG3jnRV7b3sqIQOsAbPLogHPg+HMC0bPtYJ/UeipvxwKgF//qPG23wfM+n5nnz8D5M/P8GTyn4PdBx/zu5a6Duw3cbeBuA3cb+NAr6uBuHHfjuNvA3QbuNvBtAujJkAWgN4kgacUfymSnCYGAzbMHXJOjJvUjUXck3HloYZr0u8mhbOMmayZ/AnYyqZvQdc62F/gjL1tgq0mbCWYTIVnVsqVJYguwdi2dpwmlwK7JZeublDbh5HMKaMOWJ7lsYsnTuXPsyXLH6FzjVfn21+e6Kk+/C971fYLGr787E0n10T4FDk2eyfP1u0lrk9OWJpvkGzExAOi8Eat/APj4TS4PSrJrnV952kYgsQVjbhg2ByRseQbR7+DMt4Ip2OfYXQB04AfAbhJDDuON7QDwYoPjZL0HbDvy0AVAtow7yXMgKfDvGZgn+b5Z55jh28N8M8/9Bp5joAPyNxsd2xb4BxAHJvUbSLalqQNOAttIvF/g5TkesJhnLjDZsUhOjwzyASwxc0kR913iDMY64ACgTtIbqALY3j63A668/fUBMQqiY6LxSyXbvj+Ba/XR+hUwGQBZebEwebNjFwNFsaZrKySuSadjmGOIAlQHVP78t+75s5oBljGfcvLn/Ocx4bFSh918QF/1TgWguvFslJjBLxkAXrvvPgN3+z5e1yfJomewRJCOR/697YHqgDsM946xgfT2bX31UvskUy3pYMujA2dJ+QP0SZ9vb3Z1pO11DOoOLRjV7D28EzoPljpWfPv3v35sn82ol/hS/UkKwCyf98lJlCDB3/H7jp3uvtV2a/fDDj8JGXzHJTZsVjHpdIoN2O2b8a8+KSfwkpdw4Pnm/dl+XW/nG/b0UZypL1EhGBnpJQsuyUL/7P/2xZLHkiW1jslLGUKCHba3740fqEh0fv2dXzvgv6Xjegb0rg9A7/nXOKO+0lhhvEM//Y/mePXxAM/KRIq1Oug7f/MB8D/2y3MNAW5t735gkQ2w/OIByAKHWxdICYieZJMj7+79op54V/cMazzR+Kj3fUBRzyQy+ZPUcbzUvYe8T7xz3Mu+t922maAu4VhA1g1uS3YYm4T2Pf7txnDaW8cimY/t37YDEv/Mr04/mefIaZeVtXNi02Gid58aU3bsGeed56H9tMvuW9cw7ev4rAP7591de3r9vTm397ZETgkeLRIi1X3toOM1Rut+1UYoFLgvkihqB/2HLd45A00lbU1bfv29y3ZggJIj8d72tWW+9xQLKiOgfiR2f/6rj7b+0c9dDHisdNsPCz0lpgOIV56OB0jRdhsvSqgZW5RzjAHEDxudtG9jytYbfzb23Kxz/ueVC5AMVAaUb/9wAPsG0PsNgLWusXNL4CLv85bAD6zmgJGAk8DVABIgZIsE0+qvMgaCdy2z7rDTu9bK2Lj9Gfh2neM5f2S2eZZPYusBRgNhKh+Jd0mxykAenkz3lvDG4Jwx/o/+xPsAdOD5y4Dzl0mlA7xbAoqqo+q0sUqLZFzLMOiP1VOflAAqvzruOBiaIyn+Yz/1voQGYyIJAftze7zzqndv+3SsvlPc6veWVh4/8AXEb9Dd0vUC1X0PPMcCVwdAd3LwWOrP0tCbqf4y//UNvm9QfYPpG0RX5r6b0ylri3svOYTSwWXf9QSg36Ddd450cPmeH1l28zq2NkBp60i2e4e3X8/WFvGPPnvu9J/YS+/yfvdMnufRSfSSCCimQYFEwhpiwMRUjkrLqJsdkP3Zl91zXwwGeE65jgc6hvok4x/1Pon5yl0MqXjR87Ootl5sA2Ad4NzzT4xmy6nvWFTP7ZKg6gP1876zGiTbjnn+sudgSxYXPS/bHtmi51XXt8vT//XHDd4/y8Zvn/O9tG/H1A+Tbr/t7+447B2Lv9vA3QbuNvCh75E6+MALcC93Hdxt4G4D3wsA4JafNmlpstQnZjepKxm+LwvSCMI0IQKWN5ErwNTEv3UyrvmxkivrfBi3rW8yRc6sgGnBu8naPlLssqRJnAU2NPHrP/5hA8x//gE2YdWMz+Pr714+pOTV+12w0OQTa87kcwKJB+Q08SSJXBnIgQlEKoOM8mEGvfnINK8sU4Yj194EerPQWwqe9T/ZNPKXBawEXgR7BJ2A4D7JZPJZFJzjh86/rPJ0jxyDdOQlaRlQeNg4gehNCmsvP+hy7l03+XbscwA6b+HxhxaIP4EUgYwtw749zQFmmK77P1LdW9Z9/wdIf5kP+t4ukBHTdUu3P//eLHP7vQxIDyjD/t2S7Ji62MFAcYkq5OQ7NnCQx7VtyT1jO/NA3/LkGwQdQOx4/PbMIAfdtkDCAArsWz7Pk9hy5PfJqHf/yGS3jpexJJNAis1Mq9+RY90S7vUr8u0AJD7fI5t72MObKQ2sws7esuxARaAuJvVOQgB6Arix7QGukgfIRfMgd5+cBwALBN4s6s1IJRMP8J5EiKSn3/n9i73Yecnsj/rA8aLXPt0PIDuAGRAOXL780Y+EP4Z9gUve2YBbDPEtpa4eR6ng849rl5DS8bDCqx/1jrkNBKeIoG2RwFcntemuw35Y2bsfKo/EEPtLOtHG25fU/PiRHxCbDDk2+0jhH+YtiecNmgOoAfLuKZZ/6zFPK+e+rwO6n0Q2zzmgPdluMt68sZW/9sk+YYC7t79+2RMMILiSMOqDfMGBrpPQchJYalMkrocB++YDbOw3IL3gcv+N3/TxSB+rhcPyrT4lIAB1gel9qlcM9Jbe7/0GBvYsaLv6OJlvz/jq4xrvfPZhBYGRPIzdn/nVR5JB13eC3r2H51l1EvywxtqHBYU+NPL7sayPYkDlKJjdWI03OuYaD3S+49qK5KS2ZZfjvaP/to17KVHF/WDd4F4au3luuM+d0/1U12TueZtjmwegN/aoTiuv91zHMGaUFMnKhJpF9XUp/XRvj/Q4OwzvEs8DiVXer9QaqksKBXNPT0IEefWpw+OdTkpXggT59sZY7rPfHVMyY8dq39ok6Xbs9Cl3/ez4245lwWuPZNS+jwz78UFvoZqE/V5Zsc4B6AD8SUA9fugj6f7GV+a+97tjA+YlnPR/x5eA5jhdT+2bRHz7GVsO67sk2sp3xp0Y3RtIxzIHnG4AfSeEAgr93p7ofjc+BrIDhIGrfcemDrzpEwN9jvPjn5znBF/zytvY2/h8vIZ/+rOXtzzwvHOTnyfzvmXXbbOl5wN6gfztV3lIvksuwMbvevq+EwV++Ed/4gJRm3NtsGjPy55Zl0D0DZ6row10d97qjKS+66l+ur7LjuJY10jMde82SxMrumvsmOrEvhc4fxISq/cB1c9vx2wfKgbGV9jXkjC0I22J7L179AzaS8DY7WwD6y3PrPXNIsdOB6w/+6o/A+jPIPqzxzwAnQIAML/7jDFPVrqydp3VKVBdG5lElJfIuDdP+UGdp/1Zz/mA58/S7Xtut9nmfrM1mffYl3575vzAcwB6zyAxDe9viW49h4HWPUsnCf+A5xjn3uPsU7wzybFv0ByrvWWXd5T3TmJdZZSE75nf+GID/hMzOTEcsaJiGc9S6rXz2nIAc4B4S8+JnjWU9jZozpMcuI3xDbwORH8V85wSx7OMewA69nnH7flUPWCfB/rza9++5hswJyG/QfV+t0+APgCd7/kPepzkXu46uNvA3QbuNvDh75k6+MALcC93Hdxt4G4D30tyZBtAN2kgVyoLuAnCnqyQ5yJ51SS+iT12c5MzAaeCUKS/mvSRSDeZw8IibWbiWMAXuMV3S7CviVsTPcDH+yadX3qw22WHY6EX1AWw8zbvu0koFpmgMQAO0CCw3afzFjA2Od3n4+3eRFkQdCaOrz0CcgU8CjC1rjqujq7J5QHRsVQKmhR8A6ALtGCdF0Qp8IxJ/izL3oT7CuwWJPy5X51y8TdznwSwBNA2iN5+SbpvEP0HOTiz2edkXmurGMuYlLVrQYqAsz4x/C7Z8y9+c/7DEgaGAwcxV7GKscX7j4x637HMtyf5SH2/888vtvlmnD9Lt/vefhskxzAHppP4xZon3U2KWvAIID4y0Adcb3/s38ANx6ieLu/rz3/LI5Dv9+W1fQDy6hbINwH/U9dYlFh0QHHANdB5/IU/843Zl2wuGWfMcODlgOdvPkA6gBiGq+A5lpXgMAC97/ykOxawrrJgolY3XV9AywBnB3gFVFWPANmOAySWjMAPHYC+weiODdAcAPvFA9AeEPIcA/B5yY0fJimp/AniHeANoMzL+5Jwj1l8tlfHlAY631Ye2OfpuU2CHwA9QNCR8cZ07niYr1sans+xBAIMWQzx2kptbhIoTpvbSRlbnhq7XdnIsHcM4Lb75d1U+aorDHRMV6A/1qukEAoNc6zTv10LP+n+A+STncecVqbKOokCp7+7pvEojt39qa9eQLX+tsHsyk6e/WJ+B9CdpAmJCpMg89nHu5q6ivc1mXUs3+1ZTx0BAx6QSrqblHf/YdZjSO/tq299k4pD7yQA7O6PAPTeVZJcfHZtWMSVu7qcejksYpLcZNy754HnlG66/gE1XzwA/Latb3dOSQTDmn7r1+YcxjrK1fquCasaUxsISZGn78D0fmObsZeZ8c8BhZWzMcM//b3fm7FXdVl5G78F2IxH9+nrkiMqh3aIRU7lQIIJWwjJTpQeKrtngD408vIn0YeiRWVW557Dk+BxpOkB3aTnMdAbk1Q+SkK1pa6x8pCrxfKb58qpA+O4AT3P2K7zUQoC6k8fefMhe461zlJovOnferC1x4ao9vHmIwlDG2o7qkXdG77YfZJRJ7Mb+IC13RiKPRBpcAon7VM9DUBygG/M+M7b+rGD+fSvz3nGF/1nv3yxD11z68fH/pO/Mu0FK30UJE6ZSLcDW9q/8wyw/7Nffsj/HsB8mPI/8wDvR673jS/MO881N15sjNjYElhuDGms2WJ8icW9geLt64zBDRhsjCxRdDNvt4x7+3SMLR++5b7HX/qv/q05byAOL2pj5+7F5XEeiJ5KwAHVld/7XYLc9j3nhd6Y3TUq+2ZAY1ZjDQN6yci3bDn78Uj/sZ+6rmUDq825NvM8huXLfNC3DzfwfJen+YekXd/5ukvCpShGrn/q6ycfz9U+W7rn9qneaicA9JG2/+gjIUAyBXD+eja/8ZXLAsf96LzOZdzlvBIX9++tAGSdT+x3iY2A+C35r55rQ9ujHCv8WYIdg/zZB/4ZHPf/M3gOiN/S8eZ1m5UORHfva7cUFoDnfdeunkF087Qf5Lnad1K6fUu1S47eynTsX6jk8TPfYHTPbyosgdBtQ5XPWKDnNNuMPnveT+LjSdTvU+yj84ix7DjLBaQDyw8RgV+7/eadeLzUpz8fmXaS8+IHQPht9/cq9nnPsp4BiAKBzeIfjVv6XtyJP3qgtphU3zeY3Tkw0DdYv0kezyB+oDv2eQC4cmOfbxb5M3C+wfOWDZ63YMW/KoHlg26/93LXwd0G7jZwt4G7DXzoj6iDu5HcjeRuA3cbuNvAH3NSaKKyJyuY6ED0JhEmKSYosoubyPd/kyFMcRKOBWiwsUmJm6g1QRTEfV829Lu/c7F3BPp4jRYMJRvWhDWAZAdYZV7LpgZwFwwtkLgzqJuIkipt+yayI3d2gsPYWoL3mOdAJX6iWwqNP2WTTz5ilx/5a5+92BAYNJWv+m1i2fY80NuniWXBqB/+0Z+4JPM3E10gsAVLYwPpglrKIyC2ZfUrw2aFCChioBQwHb/nn/yli4m+5dx/0CaJ2Aixz6c+DnsZg7KlNgtYEWTBttW2nn3QsXsB5pjotgPS1Ub3ejLvpNXJRG+W+PY6f5m3OXBdYggPcqA8UI8vNABGIoBzt319ouDOZrICVQYMWsxaPrQTpD+AYf9tyWLAMylpyTZY4o4FSBkg8Miwk2QmW0uGl/cr2XQgGrZux7Md1mtl4Hs7Ad0T7CXXLrBLDpXVAtD2YnC+8/sXqxhT3Db7GqtzCRBkiV1Ln4BRYNZmLgPQgdWbkT7g1jl/67BeMUMHyDvs487R9tonEJocOvAfaA4IJ9++GfXY/MraJ9uA7U+OXU72Xd1tL3P+7J7/QG7e8MOCP9d8gZurDO6z5BVJAOpAQgqAELMckF5fv9i43bPPP94/2Pwk5cnfV67KUd/V93dSSPu4NmXCWgdqD3N27UNqXbsa/+c8z49Ki20xoyU5ADk7dv2hdl2b4klPyWH7xnfu3sFtT1acbQI5eGx2oHj1dik8HHUO/VHfHTb1kefH6CeTDoTH2q0skwjx+ruXDDcQBcAC0MGY7NoA8DzJN9N8vKhP3+4YlaeydC9JuBd0FfweD/TX35t9/+KP/Y/zPBg2s0S6d39n1nVcYGcArPcCULala2lM1HOp69s+6kDUkeXuXX0C7e0/dhmf/e25X9M2P/krM04LnOpdUxl7rzdG6B2uzrXl7k33kAKERAsJJdrzVhLYNg6UIeofVHu8NzzrPdupsUwS0ie+do25OrbkpcYh1XVjoK6jOqufzLjryKtvQIG1x/S9F791bauNDkB/vNArU/Xc+uqL73z3YnzcP/XwPidd331pPNT/nVuShuSLkT6PGX58yhtPkVMHRvMdd/8ba0qiGHWEw1onz95n9UAlgRS7/bHZKyO2ujrtu+TS9tVmjPeA/T0PJG2QmnceKgrskiZB7Y2vPNrxp//Roxy10eNtzru9/tX4Hou4dQP8nvGj8T+gOICvdaTJmzNs6fa93WYJk6nmA739xbGdgerbE5vlUfOSxtZATMmnEkWrh85Nrh2zGoBMmh7YDeCWoEolCtDuOoCyLYGel9z2SSgwXq8eAfIk7cm4b+l2oO5moD9LFwPTsZ4Bve0/dbTmCs4D1JLAix1v6TpbX2IwWwBL7UjShOcvxmrtr+MC0ofVf9j9/UeVYeZHx95gljPnAJxr562rrhpvGX/1OQmQp032TAaku2fmWxIbrbMeCE1+XiLGbkfAbcA2+XVg9/ZR3zLt1j3/9wy07+NsNrrf+3zPCRG1EwkaLc9y7jcb/Tsj3b7l2jdwvv8bMPwAz0Dq+gcA2rs78Lz3NmAeGYAke8/p6QdvPd5Xm4Fu3iOussHwzv0+ufbDMt/e7BT82qY+Pu+x3jsf/dwlNf8MoAPseZ9ji//V/+BbJAvPn9omawzPA0D0PBMOQF3MqedMMSgMcHGpfMbbh3w7AH0//3ZsSuKK52HHqI6VQZnFvDo+r/Vn1vkGy/d6SwB6/5FuFxu52ecffKzmXu46uNvA3QbuNvDhb6sO7oq6O8vdBu42cLeBbwMENDEEoO/Ji4nE9qUqKNvkB3iOgZ48oAAEBnqfE2w5zAqS5E3E+g+ATm65ZWd1DzPxeIACBLF6mzwWcOk8JM8AjgEPMq0x/jDLh0lxZDIrCylUmdgAT4FwxzNBxoLsuLw3gfYmreQ+K3sBnCaiTR4FGXlFCsCZTFfHXY/JaeWTmV39FbTZAZfYrZuFToJ9y7nzacQOslR3nbdzkdbHqsGoFQTFBtlBsw2i135+kDzR9ZsST8i38zutPQnS11a0Pcv2ou7/gMMADGxV7e1Zgt13bG/+0ADywA5ApGO2PLPLn5ftZ84nvQWozu8Z050kO4Yi8LL+1/bAl7YHpl3S00kmB5zkH/vWVwewCmwZttvxbea3SkpXkAbYBhyd/nvkbdsW878AE6ZG/bBz93//Cbj2X+caZt5hoReU3Sx0YBvvZexU4LmALYargC+2EwC9PlrgFAsQ4xZLt7IB1LE9N5CpbQwL/YvffB8rezOTgaEA0wFYDyjJ8xoYC9Dqc8uMe+7yFif9TXrb/uThAWlsBYBuLeOHfOSRA5tJxisTxjVmNjUD/rtdk6QOoHf9hX/7APtH0QDAV31VL1QaKhelgi2NDuDrOU/9AXtfv7rqd5UdeE8GH3Bcudue0kTbSAzTf6kfqCtJM2Tgu6ZJVDmS6/PuOfdAooD+sWXVJWC4hwDazu/dV10q21ZpUC6sdtuR3a9c7iuAlT0F4FzSgmSMrgGbWYJNfaky85Zu346jPfPy1iasG3bxZ77xsFx48Qggz/mPXzMP9N6v5NufmYeAT4A1NvfYCbz+7qN9v/1IHuiaMbVbtoR738dP++99dd7zng8AdGMSiU3D9n3r8RwCtHqeSEYIPBoZ9pNsOPXw1gPkHc/uF49kLOAn5ntlpdaBfW081HmA/L3be/ZUFxIYJL0A4Le3+Jb590yiKCBJZFs3sACQ7MBKZ/rcW49kgH5L6ABIS/6QfFL9dX29j7Dduk/eL8Paf+vXLqsfwMK2taA21DgKW6/zUkFpaX37GHN27RQ8qhfJIbUjiVe1M+ojlUv/Al4P8/qwciszpjhQu+tt7DfJRAds1JbtZx3lglFBOG21e4/Jj6U+Cgsf++UpS/VKnan/Z9uk4N98sAcrc8cjAe+dChxnkcKfXfusPbUOcFM5HQ/4j4WOkW7siY0PoN3gM/B8j0/JuW87ou2B3tgWwE7OfEu7A9F5YFuA54Hm2NDGz42b9/gYmN3v6hf7ekD0j/3yNVZ3bmPlzZy/ZMjPdbyM3YwxXx10PEA2UL7vJNWpTm1Pb8tmWm7J4g2qbwCd5ZO5gnH9yPCfBAHztvG9Pwm8td3aeP8HOrWu/0fm/qgt1NZqw5slXp1JAJHIATh3PoD9da6fe4zf2Dp0nNr1tkagonUx4I+8fOfpPwoIO7nDvaFUQO5d29pJGBIY1PuWeW9cR+69+xGArY2Zj70KQH9ej7m+GejPTHQg+gbUgegY6RIqfGprlfvf/6v/5f/7Q3/5b/yzQPQYsT/ICc9/HuxzoDcgnSIelrZ3eP1HLKT+Bjy3vaVjAMXNZ4xfJK15Xo/E+yEY9F+Lc/uuvP6//M5X0r84CPJC/XYnwiBBkH53XR0f+zyp9B0bqq3WD+vjbdNzoGex2EYAtAQbzHOAdf+JSfU9gDuwunhTny2dp3Nu1nt9K3C9z363PZZ8xwn0x5jfAHrn7fPZ/xz7XFyMXPsG1m/2+QffV+/lroO7Ddxt4G4Df/I2cFfe3YHuNnC3gbsNfBttgI9zmdUBgRgITSBMDDYbHYhesMEkqQBVwYQmMwWx2p88eJMwjAueX03IBGsEQwswNkm85MUOg7z/xufxBHfJT45c5VuP428QvUDuxRBvwnp8wFovWxp4VFn4VPed33DbYqJjEQfmmBRjZe0scYBeZSXtORKaBzQoYFRwTFBuB32aULat7O/qpjqUhND/7VOQZAdmdkDth3/0J66Ao8DeM4sGE13gE0tkg+jYRHzQLRMgPr6bzyB6MuY/SCB6fYZ8e3UgUI59DujazHNM7c0EDmipXVE7AHoDrX3HHrcA5Taw7juw3Pf6RcGZDZoD2oGW+3idi+w7uXYgKjlqbEa2CRJNNvAyoMphALYPcJpXc3U1rNcXD+9a/qq1K4wiQVNBVexVUrOA7C3fjFEnMQYgEdDV9gVf61f+w/jDMG9bAD5Wqu9thyXovFiu9YuCsRs43wB65+0eAzyBSBKCsPV5cwOxJS+QFCeHDyQfSeUXD9AKCAzwct/IdGNXA5GBxGTV+6972baAU4A/5jrwFzubxLfrwRYn3T1e50dCvnZQm8LGBmyRWO7TdV7s8AMid97Kthnk/Uf6G/NecpNkFd/J19t3wNADlmPRS/pQJqA0yXQy/PzWnRfw2/vGvdrJWOT3N5ufqgO7gfa/kiWO7DT2u2simd5/Ek+6NsA+cJUEs/dTfYZyi+tR1yT9a2fTb5JOP+xiiTDaLcaw/6gFYL9TbxhZ8MNk1WbIdUsOqTztQ0JcWwUub6/2SZp488H47pkyCWqnP5KK3gBOAMpWiZg+fhJj+I6zh+mYGLh995xSFpKqbb/9RzuOc3Q+IP/2F6/Mo15x2OeAfECycUfHJc9OhhxLuPVtg7VGxr7P6euf+urUychP/9QXpkzGQ40devYMiNV5j4UE+fyusfbpWeO54hlSm9CXqRyQ+zcu0oe6dklWrddOJCr0OfL/sZxXAk/Hqe56X5SoYBwyz+l3fnfWT5LGJ3/lYkZTGCIFjz3etpNk86kH0D71fNpP/QBo3vadE3tvkjfOOJB/bOsomXgXTVs/+2BsY4ZXx93naUt9nnGV8ZJEj9qpMUL/eacoD3l4yRYj2/75f3y1I214zn1ASoxgUvBUViRvAMK7j9SXqESMBHD97LDmtUWJBBcT8YCY2PKSKhtPDmB6PKqB5MaRgSKA4Q1KY34Dy7HRLQGVxrL7v2cP9MbEWOwxhzdDeIObABoM9BkzH/Da/OQal3/kF74lI36SHDaTmfz6BtEx0ZWldYBMoKvr6D/S8QB3Vk3bH77/HKPr2WBp864t4b6B9GcPdIAsAJ2E+fY0dw8lQugbkntrz5WtT4nWPV/qq24USkIAACAASURBVNpH128stpMQr6SPk+Cov3TsAaqO53xL5+iz81SeSSg+vzun7ZQHKD8y8Wu/rqHj919J3RQCgHX9BpoD1VllSUbG1PcbkN69aGm+Sx1gs8X3Yp22uAH0zSh/lnP3uZnvz8z0LS+/1ylnZQtEb/n3/sP/7H/GRv9Lf+lHPnR7o//p2efGV+Z4gHRg+raj6z0rOQXzfMu2B+ZuH3Lgdtux8pBYT2FEspoxU+uMFfisb4CbJZZxxlbr89k1tG1l7Nneu0ACjTgBJv1muXeuwOQtpd5Se+yZ1zHalspex/f9snl44wsXWB5AnbpCfZciIqZ3YHhLAPnLAPR++x/Ro+14n3csUu7bthD73Pk2iA9YB573rnlmpj+zz2/LhA8+VnMvdx3cbeBuA3cb+PANoN+N4H4Q3G3gbgPfSR90ADpfKFm+fRc48dkkgoQ77ygM9CZDBVewLVoEYwDE2A0mYEBs8rAypYERgLvZ7rDXBxD+yC9cMmImt3v/9m3SKTgqc3uYdAdoaxIKNB+P2/O7SSOWV5NYE82Cw1jtJsqdy6SV5KzsbQyIJqIFZArW8IhsHZaZYzXZ7lgmryUmCKoIomzmQQtWxWbTbD9zbA3BQd7mlQNDqU/7CyYC3ieAesAKYPoPIoguoLLZ5+TBBeEFUQRVLrDhMExJV18S7od5HrC9wXLbYKRjlNdOgeAbLLds0Lz/SKwD5jbjvP8H6PviN6/1F4h7JHhHLvewl+uHAFUy6u2PLTfgwmH01b8KzgIJqqvaVr8FWHc7I9uJuVR7bP2wiQ4QUYDW9pt5OmDZCeqTygVSBKBjn/cMuNirb399ynDJgL7+3gNoP17NAHXbYHKS9d1+nORBt3w7AL22gdGJ7YkNTOKapzuGrmcMuXwexNjoAxL94oN9TX6YugFgklS5Z9YA1ItFDqAGmg7QddjrozZwADSsbZYWQG4e3rUvwPz2we642i+VBGBdZetzs0SBzJVDXQT4baAb6IyhrxyVVz/zX2UfZZJzTskrAPqe5/zZJQGwA1FXWPOurXPoIxjLwwI6oHvtYxIFjuS18w5T+60HILavV73aZ5jBxy5BHXlGkM2eaztS4xj4tdXapbaETUTWHWt8q11gY5NvlnxRH+k4WxK/uvTexBLfbOLqyT6Y8hj0I7t+npM9J4CC2izZ/u5Hz9CukZS885Kiliig/2FmSaIhAew3X/TexV1j9QSM5YM94OMnvnapWWDQ9xzltd0zDlAExAbWY++Trq/+qgPPM8A9MH/q4vV3L7b0JLMctR0JBt7Hox6BaVxf9Y4544XO0biqsnZMEu4Fi3v+dH73Tf+SVOOZIlGDhcgGx23XuTwfbNu1Gk9J5PDcqZztL1CvTVWPmNzuT2PCAHQyrxIHsNepDgCy2fiQbTfWa7vKQuqfEgxP2bHWOVYCHX/ex0eJpPrFTu88/OiB0rVPyRsAwa5ng+djG/Lal6/3V2UHiGOVA769/+Z9+cZXrnZMraBrabvaiKSzjj/JKG8+PG/bDyuw4w5j8Oe/xfbvOH03/gXCUHGZPpzdQwkfx1sX67z+wnbA+1KSW/0OIE6xqE9jR4A6YNhYdLPPsc4329z3PtueF/r2Dt9AZiAh5nC/N9sXaAmIabsA9O2BXv8lXz599YyRgeKV4fIjzxf9tc9eQKtEATLnQNr+3xL0lcv19Wk+NHZJKxmADzogfbPyn8HSDRoB0n1uEGsD6NSqGps0TiG53r2UgKQ/9nuAuze+8lDQ+rlHQnDPmeYlkqRrS5KAKzMwnj1AbWna7XleStKonddWscolVZsfYuk2D2ohHw8w59UOgCND37Z9VteY7QB0dYtZS3ofeG5eBDSvjmof2qXEDu2uOdlOkLBsdri638kcz8z0zTzfYPoz0L6PZ7uXAeiWZyB9s9GfvdE/6DnV9xr7fLPONxPdAlzmdw4417b5b/fOlqSHKT5JySe+ARz3/uzdyU99VJ6++M1HwuGnHrYi9VmAOMD7AvTXu7LjsG2y/SU3/9nfeiTdf+yXpw/XDynDdC0XIH/GH/XLYkKB1s/Pnvpez+b6d/vOGOzYOGw5d4QLZI1A6vbFSm+J3V6cCTgOQI9l7llIur1tsM//8o/80JSvMVHnq8zVN/9zgPlmmAPG9+dmnwPbsdP/0//mrf+nOMj2Pv9+j4Pcy10Hdxu428DdBj78fVUHH3gB7uWug7sN3G3gexUQBKJjoheAknFrMgMkb6JSUKrJSgGqJuukvvoUQCsAUeCiSWATMROmjuF7+zRhw2y7JNcP+wxbTNYz9hXJRbJcTUB5F5sobj/qYXYfudRh+Hz6sOWOlLuA/cjcHqkyDJ4rqHPkgYH5mO58X0msdT1dX0Eo/ucYG9i2BZzG4/N4lRX4bnI3SQYFRj/6uQnWkMoXVME8x1IRpNsByg2oCxJh1QAqtzzisOaPFOUG4snAV05SpID0ZxD9+9n3S0AF+3yY55/42qU0sJnnghYARwzQ2s1mfmPSkkJ/BtJfJsFO3vplTPN+973PLcsOCMQyD+zoO/WGyq88QDmgC8lfQXxJJ8MqPIyiCbS/+d77pTx/5lcvkLk2J5lDwN1/2hr2V//z1dQGMbe2t2WLILDtKSQI7gO5AO8YSlh32zcZSwqg7thA+vl+mOrD3jr/X0D6kvwEnvd87DmDUczLPFYy/3ZLwBOGIGBrPLEP0N26AE3+v8BKgDvQG8jF/xsgzV/bcbcM9wZ6Lzn2w64uAI59LQnE/hfQ9s7D2xtjHLsdSArodl1db8eqjwB1AZv8zwF8WNfY4W0z4N3xacbSluix5dwBzpQSSD9vKfT3SaKf5IGRzzzsXCz8YaUeFq8khS23D0Rvm75jrmPkW+Y+vXhI729WuOCsZ0NlqV+5p87NxqE2hGVbG5MQoH10jN6h6k3ShLrCCAY2YpcDuHmsY5xj7JLMBo50nR0HUAhg7Rwdo2061wAyx89deZxLIoM22vbVXcAL3/OR8/70/3LZKZD5xb6u70qs2c8gQLRknjnvSdir3J1DIosEIRLuVGfafgLKB4Sd581/9+uTnEOyXHuWvEHqm3Q4FjMAHUudr7y6rc8CPS+f7Le/PuWovJ4RxkqNMSprvytv3xsP9expzDFWFeeZ3b6Vs+vbvubKznte/78UfQ5rX5JF63v/DNDGJuGoV2CDS3S5rv3YONSGBxB/++vz7Lwk3Bsf5ZV8ZPV5xFc/7hNp+OoYCDBJh0f5QFJU+2uzEk4Ay33vOndiSPcDsMwjvePVtnrPPYPhY8twwGTy7a2v/XWMQAc2I5jnHW+Y4a89xrWSAtpOW/Vf7Q1b/bmM1ScgUrJB49I+KQ5QgQCoG49K7tSfZvy7wPrqFJg+LPif/fLl4b4TMEe+/vieW4xDgZUbYG4u0IL1/cwq779Ak8azWwodExu7ewPKLfyfn0FK4GJ9oPFzx98AegBpiza3xxQb/Gez1Hm6pwDX1gPSK1uf1c+WmjcekATAz32rRRnTAO+dWx3w4t5gacDQM4D+hzHQG4sAVTeA3vhdUkT33POqNi0hRNueZ/9JEtVW6psttRFM9e2XXL+WFGKutsfMk8x0kmMqg3NQTagNSjKqj8z8MOnnN75yJXAMIP7aZ+daJjnkE+885jpY9R/5hSsB2JiwbY1JJRez/mgBoG8GeveaR7oxnvsrYbL5WMuzvPrLGOfPgPpOdNjgOVD+DwPjO6d93WvzQ3PEl7HRt6T79+uc7TvBPt8sdO/G3rt7Idcu+QPjWpwCcC7xH+AO6J7n/kme8u4GoOt/LZ3DejLs9QOxCcp5fZ9E/cOSbx+JAMYc7e99Un+sv/Uf8sMQCA6Aztu99QHKwPNn7/OeZZjxEl3Y0/E8p0jYd1Lt1CK2hDv2OQl3Mu0bQPd/6wPPY45X3xJw1Dfgv2MHzj+D4sBz61un/7M35IEe+3zbJNxJKR98372Xuw7uNnC3gbsNfPiPVQd3hd2d5m4Ddxu428CfABSMhb4lxPvkxVcQSrYuD6smFAWlJiv4b/zkTJqaJAmidIwCGFvGq8mUjOwCGx2HdLmAiexpwb1hrR3wfTKZT0Cn/wqqFvQogNXkKAC6CZJAI9kzAWey8I6N6dRx+ImRPN7yZwPMnIxr0m3D1vnZhzwn+WNZ2+SklaFr5SmG2XTJQh9wethAJ0O6+qgsTTir/x0wKaAiMLIBdB6H22NSYHDLbg77PSD9BJmwQQTE7AvUFAQlCQ903GAlEP37Vb6M93kBlfrJgEFHLpUMLN/zzUjA1iVlTFba5/Ya34zyDZwDx5/l2F/la24JqOuYQDnAHAAzICuwpPbceUm7FuDEdGxdbYOXLk/aLfMvIaNtdkByWFTHF5yXqeBk/1kvGNmCwS1IiTklAI3lTeZ1y7puwF3SCGBdwFTQH9DGL7Pv3dM55vFP7j9KERdTa20PzG8RaN0y7i09H6s/bE6y6HzhMbx73lS/40t7wKuAyUBS4Dnwmbx1+1pGmvx4dgOIqQf4DdjcHt6jzPHkgczTmkS8T+DaMNY///CFBqxha2OIk3PH+h4G9ecfcuq80ikisN8AFrcecDkM6ONf3rMUS3aD8dv7HUse0xubuT4gEYuce4kkA0B+4VHPrZcI0Hbbl7x1BRn7LlGB/7JEBQomPdd5RgNGAevqbbPh3Tf1UV9Ux6T0d+ICCfruETsFKhIBE5WdLHttGlBIvh642breP5P8cnzupy0eOXKg7TDNA2EPCxdAKjEDw5ByQ5+jOnAAe4Br5SH1PskBv/hP53i7HrH4p80db/Lxez7tsuOTZh9WaO+zN997XzJafRsbnUf05W8d4/moHFCh6b/A8I6p3fdM7HmrbitDnz2TJ/Hsra9eksU8wD3zPXOxhTGBAZtsK7CXu0beppIT+Ia3nnc8WfwZ+7x49IVhl//0Zyco3ziHHGzjsILI1UX1fqk4nEC8ftS2Elj6pNgw6gMBrJ//xxdgzfe879R9WiiW6HuSYQTcsemqDwkbEgMkOFTXjXcavw0Lvfv9xleud07XPfu9/fVLIlfCojqpjVYHJKSHfX3sey4P8M//40txYJI63v76pUbQuj0erC31rAcm8ycH8Bv/dK+6hlE9+ejnLg/0aYP5hx+pdaCk5C3y/pWh3x0X43sSNo+/fO3HMTAS9e2xOPrUI7F0gPGTOOD5MyB9yheB4EcavuOwMRqgsj58mMaTIHIAdAmmfNsxknlnN5b1LuUnvRm/fQLOt1z79jQHTm61qg2eG9cC1jF+t4R7+27w0ZgBoNjYtf0DdwDoxiZk5ysrALtxQ3McCXiuAZveNl3jHme38EjfHtqN1Y1n9thcGTDdHQ/g3pyqT0Bs44q+bwD9GUR/FQP9Yt3/jdeu8Zek3hbJzCOD/rHHXGCD6Nor1YTpAycJqLYATAOoN3cE5pGD1tcnMfiocVB16Dk6SSKf+NqVANNzkQ1B5/csvax3zvqOLxml89R2qRJ5D1zjvTNvMYbb41eAOmWw7gnlhNpDSeK7TarPSYR48ql33927vmuPz6D5BtefQfTs0Upif2ab722B7H3XvjeArv31iY0ekP7MRv9+m7P9WbPPjSMB5433tpS7pRhBcZKtotA7unkAL+7N4vaONC6rbxkL9OytD7GLY/sy1mFvfOUxblw+6/rttsGjnGfc5tjba30vLGOQHTb73H7Y9V0Xtvd+7mCg92wBmPedMgQ7BmoWW9Z99gvEfuMLU5dk3Z/Z5/3eahybfd76v/XX/uP/72u/+RuzdAxKhZt9HsDesTDNAfgWIDnp9r3dzT7/4Pvpvdx1cLeBuw3cbeDDfyZ1cFfk3ZnuNnC3gbsN/DGBQTLuAHSZwS0Fdgq4NCls0oE9bvLUMhOMv/63HxOfxUwQdCogYaI3kmNLGownGOllEzcTNswdk0CymjtIWaCj4/JWB2j/7ScAnpQ7H03+5bxXSacKNAPbm6gWaOV13jk6liCjoOZ4rH7ptx/BqPNf1zrLZ3/rUXc/9/DOFCDG0sA2amJeINkEtWBIE9LtgffDJyjCh08wB6gnSEdeerNryLeTauPZOaypc18KBJKFx9zdACQJSDK1m4leQOb7jYm+vc9Jtwsu9v1l0u1bwh2bD1O1ZQPmm3He/ccmfxlIjoHus8V6xwnMwGpvwQQGeA3b9sVvvY+FgNnJ21WgZrO7CzgWXCE5irmzpcyB4thOQGXssedAIH/IvQQ8v2rZ/+/tnyUxdz/ZfQQTfvtdbqDd9VQPPb8qO5a65ADgv/377ZqB5xhw9ZmAUWBOIM724wZEFjTGNh7G/2E6A1vHa/uoGhRcBqJ1D7GFa39k2bGTA2iB2HzGMb87JgltzPMtWe68wyIOyD3y4y0UPsaTfHmXY5rWvgeU+vy3fMYxq8mJB2LXbttXMkDBcNLumwUOGG+fqZcDyFN3AIr3OX7IR/GBsgIQujIWrHftytz2rA7aDqgItFavmPG8nu2P6c7jm8T8AOef+cbcI8DWlUxw9u++ubbW8x2X1AB4vjygDxgZ8At09TwC/F8S9efcHbOydC3uTYBE//Uda3ok/w9TuGtsPzLdI8v7ia9dCUCda4CPkyDQf2TNW9c19HwCjkjSaduOsX3QMd13nc1z6tRR5wLkAENYi2wrBvLuABSKKWwZtFWM4soK0MGYx0Cn0FE5gaPe05ictYnqArup7fuU5LdluQH4GJjUSyrbjBVOcLvzA9A7Tu9n0uibUV6dSoBr/MMmoWBxz5/qADN7PO6P0ggPbP1x3lGffyR2YZn3W1Ad4N723VMM7iuJ5agJNPaRJIAZxwtWH+m9stnl1WsAemOmAtvA+Y7VPQKcd0xJO0B0Y6qRcD+gPZBv2/NUT8Z+vOjZFrQdQF+yAsWC3nmSLKjuVP7KDkDsHUmiVjIkexxgOA/xAebPebDIgYTGgMBC3uctxsEk1o2hKRCM6tMay2ITdt2Vi1VD61glDJOxPv+Zb1xjwVHoKBHgZx5j8IsFH4O4bY6Ci+9bbrzxYuPG1vVeDHTe48id4Bkw3LsZsxyITqYdQ73xbdv12X7PgHTv54DNZ89owKT3vXcxINoYeSviVG7X1H0zpgF6k/SWNGBcXLnrfxJOXc8edxin80InF7591CUWtO3+3vVuFvozgP4qBnrzsi33jenf+auzUXs4cuhAdN7mAC7Pla532mXvjAOkU/DBJMcWr481f+w45ny1pc5lPQUxyU0SUc2Hpp+8eFh3Uf3p3Nte57LuaQx+7KUktfpvrHmO9c+29ZAYSbq/z/pJ9TPJzkeun3oCr3TtZnuktz5wTZKne+2+vaxtvszX/FmOXRt2nJf997Jjbln53X70mw2iP7PRv5/mbH8WydLY5wBpoLP3/F6A4tT7Ru1uWdq1TeB54wRxBe97rHB9qGeu413s9BMPoc6w4xrY5+TcMePZkngvbJsYamniKo4PNB+lmyM7jzwgvtJnz48Nnu/nTokfAPQ53okXea6wYvCfmFPgNMuN/t8e5Rs8J+cOQO/cm33e744VeP5Pf+/3ZmFtAzzHPmdB2FK5ncM6THSguaV9k29/TkT5oNvvvdx1cLeBuw3cbeBuAx/6Y9bB3WjuRnO3gbsN3G3gTyjjDjTf0mOk8PpsnYlUk5+y45vE7MlNE6ImcrPPxx6BpQIR7QNAxxTA2CYVZgJYMKPvA4ScdWT8MISGvXPk/Pihd26TvT6Bm/bH8hR0LahiIkvilCQmf76uc0uCbpB9ArQLMCeLKYubzCYJNf6SlYu/OoBDoLpgvMkef8dn5rlPAcj3sVoWSAjoAxgCAQGhgHPXyu+w3wKLF4B6WEVtR257M9GB6AIy3y8g+k4yqY9gn1u6jwIr3bvN8AX6Ac4CODaQDvAuuPIqwBxYvpfNNLfwO8c0ryzANaBfgFvlaBtBzK5HULT+UB+jmNB/EjPmPn/kF97HvMEK9x2AvIHkvQC5C2b33BB48dvnXoDlz4Eay17fsplY+/jA9h1wFNTGLKrcAqOA/2dJT/Kv1gHPSbc7dtfZuXtuYoACrnkFB8picQJzulfje3uASvtigwIUMYL7v2CzbQb8PmAYZiiZZu2y4wdIkj/fLPQNogOTMd+B7NjVl7z6AdiAvZWn/4Ck28sboF0dDGv7yIoD8gPMMMJbXx+o3mqf6owkft8lP9WPAOnA9+oQ05sUuyQC9eM7D2sJKLP/i4fEPUUAbFv3hFQ8dvgz+Kt8jtF3/RMTG5BJoUKyAaa7RAYKAABMADf5arLY48/+2pcvBjk1guq1/9q28mPH89aWKMG/XtLEBs9rn4ESlRlI37WRtgaUS/Co7FQtJBVgXJN575jqqu2983nCq9uOz1uc1zQZYl7nZHiTVu+91Xrs8gHHS7w7SURdc//xWsc+l9AQqEtu1btxxij/0z+e68VapZjQtiw4jBPGg/7008YI3pU9Y0l7A8UHDH7nd6+kq/r6yB933wN+D3ikHvvOx/saG33mG1PegsQj4d4z/LQJY5iRyD+JFO6BPtH+GPTsRfrUjjaIrj95DlzPh2OHUx1gqXccXuyTQPHWY2yH4V2Za0uNKaqPDQBgoJNs73iT1PD3vnrZ8gAKRoL8JIZ0jVh9Y51xAGwqDf4HEo8lyVmn3kmiV97uX9c/lgASI1778qPfHgAde5sPNBCd4hDp9srXPQNCVg+VY2yEzrG9lwd8/8TXpswzdj0gN8n1yiVRtHq4vKZP3xi/9Pry8XafdnXA/+oVkC8BtPtXO8fkVX4+3/odwJhfOGl2sut+kyUHpgPasdD77H+MayAzML33sv8a924W+qjMnMQ8SXO9s0lbB2wGxLR//QHAKPnFuLZzdk0db8Dxn/rCpWgjsQ74Tz4cC38A6I9/4WIsX4D78sh2XVj4mPbtg6FPHh7ATWGqsnctLQD0zTrfyzOQtT25HbclAKjzBoJV/u43sI+vOVALAF7/MMfRP/oEbu93xYByAfGHvdp3ymY9m5qfUerquFQ5JNdU/6Mo0TlOwjRwEVAuKWXOf9poZRvQ/PWHnZD+g0UP8G+d66aUUF30Cdzre22DAoF2LikcmE4twDiy+yhhwb3TLp8l2oHgm1Heuu47sHyD4M+Auf03i31v5//Njifnvr3Rm7P9pb/0Ix+6Jd0f8ZBXeZ9vpjkG+gbQkQu2LHntfMu2Sypp2TYnYhTPUukju36Y6pTvjC8mtnESUszdN+BuHAFA377nfXd8IL7Yh/Lpt/VXLPfiEq0r1rPnX+ZjgdjFhSYZpcScQ4jARJe4s0H1TdoIsMZAB6q3Toyp49fOe77t5x4AXTlilwPMh4n+u//XBaD3n8+uoyXwHHC+WehA9Mq0P//Kf/53/4V4x+19/sHHae7lroO7Ddxt4G4DH/4T18FdeXcHutvA3QbuNvDHaANlzQLQTf6A5CaAJmcmUC1NjgoeNHnBdmji1KSoY0xw4uNfmCBSwYcNoAuctJD5IuXedwFr8mV8xYHd5C9HQj3m3WFUF9xo/8pXWftvfDCb/B0mUotzdJyLUfTme1NmE7mOyc8P27IA4yWZFsv9nYfU8ASOPvUI/hSsMYkl2T7X+fGH7zl5+ytQ/cVvXlLDAqikxjDQBV12QIXUY0G5zTAnMSnAU7AQaxwozveQP/uVvHBk56oPvumYOJgqAk+YGwANTPTa0feTNGDlr39gn5M3rS1s33PgOTCRaoHf29+Yt/gz8xyIDiQn6byZ6vYDwNu29TzOyQkDzwFblxz0W782bZESwtzLj/zCtInurSQM3uOCg8+qB0Bm8qJkKgOPN2iOCfXMEiczun8LdAOhN+j+zFhv/R/GWn8ZwA5kf2axO/Zmk+9lM8r8L8C/PUZ3HXT86vGSwj6AaKCjRAtAMACVekbPG+Bh93XLlGMnk3MeefbllY6NjoENvMYUBdTvc/cfyXbS75u1jZU6APoB1Xr+KZuEkfEHPv7cmOLDin7n9y/JcbLRtVvXDETnRY7RjAFcUBywDsjnr658/SZLDxzGkHdM4Lf9JCUAD1svyQWD3jlHJeDz/+zydFZfXd8AkqdeNnDteiRD6Ldk8QcoPu8RSQv1W373nfMC07GF8zQ+x289ll6AcGWrv/OO7v9hoB4gVTJB5ZWIRs6/bdUxEHyedYeVC/zmZQ60BFADorvOvg+Y8qUHUFuZqR70X/tJYgDW913CAdnvrqn/sIF7L29JXsk/1RMwsoVFCol3LHCWG5IGsLux9KvX3t0x0EmiD9v5xXvzTm5fzOPqovZZcNbz232uTsiFbxnsysV3vmvZ4K73xrwjDlu68UDH7P+dzNI2I6n/4r0pK4CU52fjhY5PvYCagbqXZDK2OkfJofbf9UoKkCAjkYF6QZ/qquvYbVaf7FoqP7/V8Sdf98r96Z5Vf9U5VSJKDpe1w1FGmHFpz4vDPgcEjF/3Ye61Xt23HeY5IFpyScerPdiXdcDI48bYP22tT+O/7sWMd478NGsP1jgbNMd2NbYEimPJYpkDs90/3/ts/Egd5vK+PYz2yoaB33+YhrymMXP5obf92IicxL9RfvjUw3O63xucbCwwyQFvf+saGxewc2m8gDkNHMfA3QA5UBJQ27sQkG4boLIxB1DS+HZbFD2/b22z2bjewb17m480pzFmsF/nlwDQp7lD1zWWRyWGnqThDbJjJRsLYypLMnZ9ym2stK/F9Qfuqx8M9NZjOxtrPbOIX+WBvsEkUsrNy6qD9hvm+4/91AVs9dl1VD+k2/s0Z6ndBjK1kKI2/zI3A6zXrsYe4CQnDSP904+ED+12AMIlaw2Qw3TtOI7Xp//NwSqX5GqS88au7LGAieZbkoO7tr7P2P1cIwCv9fN5WPgtbAgkVFRPkzB8ko8ljLjXu51uGf6xLfrRn5jx4GaGb4/zrZi0ge491+vzZSx0bWL7o79M5v352K+SdN8+zt/r87Y/6VwPeL69z7dMOyC992PjAR7jD9WsGQAAIABJREFU4iXiHwP+vvGFyw6mbTHKtVFJYX1K7N9KZpOcdhRcWvSdrTTCK73vAHJscuQDCWZbGa1tqcTYXv+WNENFwvUB1AOaPWee5dvHo3w9Z3iyd7zY5BYKey380DHQ2QRur3FAN6C8c3n+OW/Lv/tv/1uXT3osc7L5geibgd7vd//Bl4ZJzv8ceN6+Gzx/BtNbeJ/f7PMPvt/ey10Hdxu428DdBj78p6qDuwLvTnS3gbsN3G3gTzBpDPgcAPRk/pqsAVSbBPGR4lXZRAeAXqCmLN7WmTgVgGjy3+d4c50JZJO+PvmIN7nq2LKV+fGNlNiL9x4B0Lcek0FMCGzxARPe+rUJbAR+9SkAQ/Ks7dqvwM4AU2/92jWxIzNaEKx9u64mdQDmCegeebTO24SYXOv4lB3w5fK7PUw5AV+T3JHUPEHTkTs9k9j2A4wKEEkoaKlOSeULhAjWYLbspboGpAPNBQv/f/bu5/W/9Lzv+7LQRaDQRbvNrotuuhItLYUuFIroJk3AG5P+cKDJpm6IqNPIjHCEGaFBNh7zbaTItce2PJGMazNMQXJUUYOjGDeJU9Rt24j+HW15Xu/7cXTN25+RU8X2V2OdxeH967zPuc99rnPOfV+v6/V6/fW/80gMYdj0XmJUX0uUdQ6x2q27WTkkvYHom4n+DKL/WVFoeAbPJTswFDqfmMKT8AhMOQxXADo56S3j7vwHfmOUAziwygNngG+B7NiO/Sdgjfx0iXEJHu3sOzK0k+T/7IOhQ0GgWN9xs2NLUhtA/LGTzAWa83WUqAMePyfuJLb9X4LwJc9Ir5vVbtt+399tkB6wvkH7l8D1l1jqkkD+t9nzgPS9/52U3Ova97BA3/jSBxi/Es1iZct0S3Cxk7g8xE/MbOY5NjUWO2l1cs1YpVjWQGOgLECWTPblt31AYIAr8B/junYCvYHrigPGu/vI0HcP6bfAYazz8b3+hQcAiG3NQ12c9p/iegC3z7z38NM+wL3+axuBypi4m2nfdklMYzW7DodxukA+r1j1gNz+328KCy5P9+NLDgh2zMBg6g6tN+D1q29cAPAw945SQMdNSpPM+pbAH6b4Yfj2nfPRsdbvihPaRtvtWEmx2xY2Pil7rGPr9MrTvO+LO373FxN9+W9jbHdMcy5PDAbUtb3apnCCLHvH132q5x9pf/3d87z+0k+KFMSBIoEWzGE+5z2ren9J8y7GYfc4cr0AbDLZJNR5T2Pc1ncdW20AvALQe3WPTwq0fqoN7aP/7KS650FL+yXH3bFOXAbKHvn29i1pPQDrYRkDi70n7arwod+K+74fEPUw3NpX45je9133oMDO+o40vcIHNgPuP/zqe2Z4TvVegU8xPtfrKRjrd1YIXSPDkPvK713s7dbrv5jWxQC2vSJGAHrPnwCGxh2NwTq3ZOwnps+YqW32Xfuf+9ixy1FEVFsw0nmVK/wYufZj8UP9Zxh2J/axagHa/dY4sPdtk684YLz1x87mPD8bB/Fgnt8+/WuXfDSbgZZdRMHDnC0RKX8S/cYaU7BytqHgbfzdl6Q7YJzd0Vwvh4He8XcMtadtdZ6ct5G8P0B56/NnJ/3fQuaazHsxBTzs+cwvmh85lnlAMHC9BdhM9cUYFvNaoR4vdcCk5Xn8AZje1jAbYA+gbL/NZxpD91zvv3tc05i2c8cLm0KT8W5Lx0eavna2bJ93gDoAvN8BqxjkW5J+S9YDsan82EbrAeC3fDsP9Gfg/NkHfQPosTZ5+DqOFipUCjiKj5FSP8UXLeZImOPNq/ghb4l2DFXXGmujee79wkMJhqWCuVCLog+qXeZ+5mvmI6Sk+x44Ob7KR3ms4yATz0+ZtD7gb4pzgOanaHj+/6lH0bii7/rjUidYEu9dE71XPNF5dh7FL2UiNgW7sETMbs9yAPj+vAtB+m2D6NvCy6v3tvUMxgPTn73RvcdGf0nS/YcJSH+Wbt/s8804t+zv2R4Agy3FdM82BWLs6oqzrgMgNgAdCL731bXWM9m1OM//A8L7j1zH9jjvO+MbSmTPFmPey28Yj1xA/av3Lma9opeA5meVsGf59u551By6xrpm5FXKDykuAKCzlAgo96oPAegk1uVDFBLJP5Fv/w//nX972Op/6S88WOgk3MvZkG4fdvrbb/0/vXq/AfQNlgPTN6i+2ed/ltT27uXugzsG7hi4Y+ATP5R98NobcC93H9wxcMfARykGTBxj2OaDDtDeslpTjfylb3wAQO+1yU6JGjLuTWKa7MwE6Wd+80pUNZmSmMQSAIY3kWz7JATn9XioW0ZG/XhLAnpJjZPnG2bMYaCRc2+RnAHcYzcBuIH4rYt5MayMA5T6bpI3ZNu/8ntXRXlJ2hLK44l+QH9gBXn32jgSyl/42uU3Kum8wXSV5h2fooISX5JhEiElYjZ7pz6WzOHR9wx8S/4BSUnfA9C3jLvJcxPf7RdJyhIrfeQ8f/KXrkRU5ycAfYPoEjEf1WuD9/lcG4flRnqvBEQJhp0IGXbfAc15ym7mucSF77xip1pIRT8D7Rs4x1IPkOs9H+a5to6cNHnMznfXEAYNpuZm1Yy3/WFhiTEyqb3f7C9SqJuNLdknkbjl3rckKz9Uv0k49rn/8RnfjJ5nRni/7yThlk+XHNyy8c9s9Q1y/1HA+vZYB84DyjfTfr+3n64hctSYp4AdwAzwtu87v+QUAYxAXaxrrPGRZn71AHg630BQzG+FGhtcJqm+/dexmQHvAG6SzJjGWMiSdR0LgL3/to/iEZiIoe17sugKAzCQydZjLxfbW3bdtdBSPNeG1uEDPn7wp0gBkA3UB9APuHaOSSGLY1U4EADMqxkTHRsbqD1y7Emvv/vt6/hJXStY6JjHkuMUNPTdJWt+/ov5jiXefsh38+NuAaC3r31dA+ABwBuIJrFdm0lYA/7Hi/3I9JOEHu/adx4FEiToyXoCXoc1e0BeQCpwu/W3DPoc19sPZntt4msrhnZbsZj7H2BbPIv3kaX/zPGQPn63AI1hIf7EL1/s2Y4FWM5jGmDbZzLfFDlsW+xh3FekVOI7AL2xA6Z5z+3W4bdORaDfu3aLhTkvndPley0R3jOy9mJP8zrXrpH0Xwlx93D3AYoHvMJ7TgPBGpPU7sYO3QeBYrsogwXAvh7mHvLuAzzvnHccO266LjrmrRrQMSsemSLBs832N6DvWw/wl+x621WEiO0N1B2bhi//zjyH+s5ztd+cN4UwHWN91BjF81ZR0jC0z0JlYPzNO98HVO9ckzsHWEwRy1E4AnJ0ni5p97fen3M27O2uh6N6VOwBnzsHpHQbc23paDHbPsbe6FMPe5SRqU6yvfN3Cloabw6gfwD32t02ayPAvN9nnHnaQwXCWFYcsTDquEi7Y7kDR1gKsEQaL+hTaIddz7KH+kOLsaT3jT971gHXyVlvefLGp57/2zcd6EzW/JmhDihXtGcMQj57F+S1XrFfQW9j5+YizU2oOLXO9h5XFGrcsxnlwGbgef+7pOwPQ73P+xi2fzmbJSDq83ED0VnFtM2ORwFjY5iWzST+Xgz0lyTc64eAn0Cq9jkS9OceNPfQn/jleSaQPr+K1E6xS/FKyr2Y2zZefddc0Odip1hji8BuRvGd5zF1GM8OhX0KXUaufRUSKxrZxdAKSswLAf8dQ7E7c8Of/KVrG8UxpTLXn3XaV+8VXrm3K47ZvveAwR3T4sg4dzPQXQvA8y3rvuXXgebP7HKLeNhA+Ga1+87/9/sNqD9vo6U4jYn+wyjp3rF9L/B8s8+3ZDvFsbku3vyVyYVgUhcfvfI87/0oKZxikd53X1YQRr59S6xv33UMcWD5LmCh4mB9oLrizO13Ts3pA9veEvKvHs8FCnoKYxSxlNvpvvIMoLvflP8ZKfQf+9TlY75zOe6lWPoAda8VTmGg15dAbD7otk++vfsf2Xjy7aTeA9AxzQPQMc4B6C2xz3tt+wD07X8OON/AeuD5Zp9/lPMb93L3wR0DdwzcMXDHQDFwB8IdCHcM3DFwx8D36fG8AXQV+9sbT8KER3cTnSYuTWZUADcBMoks8QAA63OTR3LwAPQPyOodT+7tgS5J6b2EhwTLJEUP86wkS+8HHMYyOBLxEj5NJFV8S4b3X+0taWISWXu3JHttLgndJJTvmQm2ZC3Je8zC9suftskqaVSy3phdJs0SVnzUapfkX5PHEmKSMyQlS+JsCffNSMe0efZoHAZNSaXj50iGdLM2Oo760naGnfzXfu4D7yVUJ7n0U78+y0sg+kcxCbPtDZJv35J4z0UPZLcBkxjGwEigXrFCgn37oQdKAOKAjsA/jHQsddLuvQ/46LXfB8h6+xRpJO18JGQxcDrPJWonGX4YnVtVwHtFEuJm+3qKBR7gCisk0gHg2DtkQref6E5YK8awbywwEoCKNrb3+LP/eK9AfMD7Zvxsdvxm6DxLxH8vpvpzkpr8+97GBs5ts3aS8R/w/DAjgaDk0jtfmKLDODmewoBvoPN4Vh+mN8C3//RfxRTD6D4sZzHV57aFOd7/AaRYxyXMAZzAspFSPjLS9qmQCHiONbz92smnD2B+mMeXnPpJrIvnYcF07zus8L7jDY9F7Xj6XBvqg175QkvU8xnHpubH3vWCtd9nLG7e39rUsdSPlADmGjtsdu3YAH/XPkDeNqYoDNC+fLz51UuUur6BovqGD/yWaQeez7kLfM7f/a3fugBgaiit0/b1B0a+QgTgheIIctQTo6eIwPacc8UVgOcBGn/9n10Me+oFzkP9gd1cX4iHjqF98O+sL8V9bZxzdmTzJ46TAX/1AJmxvnu+dG8hLY1p228BHwOSHD90gEhtwK7EyCZdH5jYMUyhwvGLrm0B5wHmrBAum5P8xr/wD2f7faftxgSNixoTKO7j10sedaSif+KXLzBo+vaw0VxX7Z/CTf/fNgG1r+3ULoAv5lj7r+/7LwC9/py4O/HS/0ixe8YoZtlFXruAhQVI/9MWUvL6w/WvIGMS+a/eu8ZJ9VHniZoA1n/nJwAdyMU3vnVrf0vPlvqocekw/o6lT/uorYoUAPR8vesTz+h+UwTifz0bFTPxRm89ygHkrGvTeJcf+X0y6z1P+93SfowjG1sqmOq4/J/8f9dYxw9gr19rN3auQo6R9T9s8+5hgHfHM+ford+6xrSKRIDqYrZ9KLjZfueAcu0cNYRzrfX/kSpfhZY9y405jQ02gAwwBjD6nhKV4jwgtrEskBELu3lEIAzw+VnGfReRfmwxcgGNPX/bTucjYIUvektjBAD6HtuSbwfy9BlbG4heH2xJd4D/LmLdjHNFhVR2dkGh438uPgiAArQ+e19vAP3DfNC3JU3baFv62BzHnKn7S3FQLCk2EhdUCrqOisGuF4xz9zMMVkDbqGgdtTH/VTilsIsSyx67KCxU4EMVgh2Jopu+YzvAnmPUR8711LoWRQKtz16h64cfuvfGwu437I1aX2Fw78VA895iU5GFMewuEuE3r/BiKxJ8L1/zKfD4kQ/KuIsdcbSLVbet0rNku328tNhey7Mv+g+LpHvH1LEBz599z3mRKyzbTHS+5MV8AOwHCABHun2etUfdQE6DpUFjCkV0cx2dAjtjYSD3tivZ15TPrj1gNzCe5Yhx/FbJUahpfwr2e3XM/NypEXaMAdMvgecAdDZ+3b+GOf7Gl+a43TuoE+onIHrfPTPRAdrY6L3fQDn2ue+o9NVGAHuA+fifH/B8ZNzffuv/AaJT5yDhjmH+knz79wLP/yxeG/dy98EdA3cM3DHwiR+aPnjtDbiXuw/uGLhj4KMMFDapIRFmYjMTmjcfwDIWuglQk6UNoJcgIN3VMmDXX/4bVwIam3tLkM3E8rAAyPHxw1MZ3X+GkXOSICUveUJiPfU7efISGSVNTAxN5rwfKdhzTOMFftpbIgULHfOB53mTS1KEKtEB660XgIDZPp6y7zwqzDFJA32wqyStt8f75fFXYvfIwTWhlAwDokuIlZQBoktOltTB/NmS7gBSPujAzJHyPvKV2Eh8CMdT87BxNgOddPv+DIiXkKp/gejF1kdN5qy2NkEuqQJAl7jYi2Q1ZjpgsQQFD2p+vsAJ311y10smG6BW7ADgMdQDlVr47QaCBK6XWMcSBtSNxG8AzvFLZVGAOTfMnWRoj7cjSfd+B35j3mBaYeMEHnXuScryTAVskaidBO3ZP4UI6/VKMYIUMzl5+/WbBOWf/7FHslK8Y6ID0MnPPyfaN3N9S62XZCef+UeB6c8e6s+A+mar76X9Y5DzOx4f2yPrvZmlABcFFQMe/sI/nvOLKb2lwzF4S0BvqXdS4ryIN9O8pf8NCP0zX/tDPuLbG51Pu7a3zoDiB2gHmhartk0amt/25bv+zsMjeYDXA7gCeHmgT+L8HG/JPmBv7aXGoG28nWsjELDvMJbJqM9/T/EK9YfWwQbHiMdgx5rXF2QvAdKS/CXr7b99A40lKlt/ztWrBzAAHK/fgZWOpX0CIAEKgOOebZsNTwEF4MBLXbGDooi2BfwEIG+/8ZGKPucB073jZ/WAjU66nUICNvSwqc55dt7dz8iMt948/456QPuvPR1D2+m7/gfU7r2CAz7o094DQHe/GKDnja/OvaFryatnGgY6QH0A9APeDlh0ChQUJQw48+pRrCF+aj8Jd8/4xgZsZ+qPYb8fL+mRtf/V37/8NiW+3QPHV/vYwUwiOabvz75/geYzHvofHj70lgGdjwUHeXXFdoq3WifAPoYVedfA6MY0infEDz/73a9bmcC2FVLwre8V8Fo/Bp4rCNN+xSVdT9RZZvxzpNJH9v4wrBXqKPzoHAHQO4cA9LbhudD/ts+388aSp1fgM/n0AcCPsgIrH+PNi0V+lBF6f0lYH4l1Yxj7A3wDHIsHz1PFpY3d+q5zPMovbz3apGgUOKfAUhv7HrucVVH7UlCh2Kr+ngKBCkgPk7//te74Tr/9XSl6DPgB5Ls/nkKA+qL/t/6oMBy/dT7UmObY6J7/vd9jTcA472/MagAyqXKy7UBiTOgt626dDS6TgN92RRtMB1pfijaHSQtYbLzc921jqzeRS1coeDHOP/Uo8useM3OBN77LMubfvo+//2wQHRAPUN8S7FvC+7kQESuz//ApJ7f+EvD5L8pA397a04d/7ee+qzrUOO/ItCv+YHXhOi3GPWMUq4yqyBkDX/YjRyKazzJWLGAPu9VcDlCo0LSYdC/aCiieN8ZHCuU20D9FKeceohBsK6V4DrDwGIb6ee374l5BllfzIWpnu5C8uVgLZS4WAMWRWGJjsItIOpfN2Vo6t1uiv/nctgYKgGy9vvcdkHwXVYhlIPuzbLv/bGl410ivcx0cAL79B573foPoW9L9zxpQCDxPYewl5rn5PsD5A+D5+a1n1jMI3MK2pO00j6butnMaCrt6frEssS/5BrLv1zW1fnctURxTJKaw5fI3X57q2wO93zbDnVXfZp9v8DwAeYPlz+A5BnrxS3adpULHrrBgg+ebfa4oxf96rYhqg+nA8i3f/mEAeu2q/Y2PWgLQA8+x0Dsm7PK2Tyb+2et8A+iB53+Wr4l7ufvgjoE7Bu4Y+MQPZR+89gbcy90HdwzcMfBRZ9qasI0n5Zu/MhObJhlNOvLCa0KC0V0SQVVwE5cmJU2GSuL2G5Zo2wKc8zr/AOPmc1+9WOPkxVv6T+vWDhNQUoEYnQO0vPVbF7sCY6R2Y58D9ftvyZFhw59tkoTHvOl11j1Jbv6dkrBk11WDqxJvMtwEledYCzZjyXVs4ybikuD8zfjR1paOpb5TgU3mr9ePLUk/CUQS65J5JDexfIHpJdGsi32M8cvDfMDWTz/8Aeu3+gd7HePY4jOPT6wOyTkgehLoH7UJZ+3smiDf3nXRIjm4AfSRf401eZKCAQxAdHLQwIqWvsfalSAHzEkkAiV4PbcElpcMCTynZEDWHWjB47nYVQyCpYm9syUsux4GBD/gddeUxKrfRhb2yNBiEPKy3L6ul8zyYgMW19iEfsN+6j2/TBKzbQv4BagfydG/+cUr3oD42O7PLHoFJC+x1H3mYS7JuCXg+Ub+UWD6M/tLQlsSu9euTxLuFwPrAEgBdhM/B9QjCQ70BngCZsktb0B8e11vOfdiI8BrJKaP/7j4A3gCZngduy8Vc5jlmMTA+yt2337cf/l0YxNjkWPKb7lnn0lK7wIjqhx9NwUm7377Iet9CgUucO+sA6An/+4Y234gNWn4/kcCngwnQHfkzDHPj6z6gOcH7JXc7DvAP3WH9k/OOvCcDz2P6D5jwZPodl2TJr+kyo+H+JbJ73/jyXwYgUBf9x2scuzi+gU4SMlgihliD37hAVYCrIFzpP0v6fCjikFO/IrX5K8PeE5tQz8A/bHTOx5s+dbpfxiGFAKwfikSdC/ZID3FAv3fe2xqICTmrufWFG6dAi7ruScZH/Aad88ZOeuY2V94sO5rA2ZYAHpL10SfA8ZbXHtTKPSZ9y6lkb5XVNd6xk+1jXdv/dLzFBvy8u0+fvZ97n3/b5+ALeC8xH7X53iUf+FrkyT+59/5zrwH4Lev7lPu16OG8OoRgwq7FKAozlBw4ZoamfTDXCPPTpGBck5xDuzCKuWvzX/eefa9WKxdgK8A9I6N1Q+w2LPC+Wp74h+oT0K+z2P1c4DA2jTjkCPF3rokbo21PBeB6SM3+7MPVaTa0WvjsWGWn+cdb/Ir1k5BZ983fgU+t01S0saSpORJpo9EfeDekZ3G3K+PWhd4r1CAvP94NR9JesUZU5S2gEVy8Lxt7W8k6U97p+Dgp39z/ruBDnHLE5qMuzEm8JcMecfdc7Qxd//Brt5y7hi8zQ34pbfdzUDf3tGAdmDjtnMh9e73xsPASSBj85C20T4ByhukNxa+bCAaA+d7fsbAgHKS7UB7wDp1HmD6ZuKPJ/YTSDng6GK7b8Ddf0kYA1kxhfe4pPHFhzHQjTsc7+WZvWyXRlngKCdcRY5vfVeRAFA9xX1HLWeeQeeZ576hsM641+/F6dzTzvwQINfn7lFbknqPoS8Z9wOady9SeLpfuz5cpwpMjEkpZbheuge4Ftz32XtMAemxWOAHb6yrGNj8cPs1jyLDGw+VCfOniZsj7/5cEKLQ2XllVaTYA9v8ipEYvD/64x8Av3eBSJ8bq1JcEmPbWgmA/mHMc7+ZS/p/y2aib0l3vugflfnbHzW326zzl2TbMbypBRk7eg53XyZtjlndK7uX/svqQeFc64r9bSNCyQEjXf7lA7+fHIOiFPPQFjmS2uNZt3MQH2C0n7zDBt4pzvFOb6GC12s5iGfwnHUfezngefdfMuzY5m17M/Q3mN41A0Dvf/Nc+ORnr/t5ead+65oAlLvfte8KTbZ8e+v1W9tQCNA5w0Lfku2tj30OQN/S7c/M8xs8f/3X7r3cfXDHwB0Ddwx84o+9D+5OvS+sOwbuGLhj4PuIgQ2gk32WVCPJXkJKVTLfu9bt++1FNZXEb3xpkgUliprsl3DAOrf9DaQPEH4SGED0S6r9S99NmrTw/ySP2n8BgNt7vdfaXTuxSlq/NpR4wag3Ue6/ZDpVaJMzLWGJ5QX0KtFTO5pYm/QC3P2//bSNEtvkYEtWb0Z7+1P9jX0+bJgf+9RM6nYSTeKlpeTMZgSZsEvM7aQncBGwiJEisYZVjoExzIvTps6BbW1f9fbjHPkv8JXMaQD6X/nkW+8neVa1/0fFL0yCpWtiA+g78de53ol8Xq8Se8ARYPmzzzTQdIMLvI/JIfNAJ+EuKdISkA7MACyKLd6qWIzAKUUnfT8AwVE/wAJqXUy4kYU+ctGBS3yDBxg5srIlL4dF+/mvP4C/w4rDvAUGzP4PE3akez/zuJ6GPXfaNRYMx/9ZYrOY6jgkK0lyFrtXMQgW/fJz73fMoC39Lgm/mT29l5DcPqvPzPSW7nMveaW/lNAu0d32BiR99d0+AWCTAL8YV6cYCNBKzhkjs5gZT9ukpw/zeMCxA4wr3qFiMGDYL/72pWgg8Y1hKh6BlXNPPdLmtisuR9b1sNKBhvY7YN8B0oGJvZIh73gsvLdrf/FcfLcO+fn+B8Anmd6++agrKqn9rXt5Ob/zKFYipa4ogHx462/Au1fgPOAdKF2b2lZ94rrqP5jau32AeixmyhGdr81C38UHWzYeSN22L+/sVw81iZ4XA+idvgWiATOd464ZsdJ7su/FE2Y/Wduus9rR9dUx9R058wGzD4iBYeheNgDHASYkgBVhKAbAONc+MvYY5rYDLBHjCipqT21pXW3BfMQ0bFvdB3o/vqKnUI8Eb/eGtkGOt/VJpWMbt60BOikcHBl3QFF9BkBv6Tz0/I7pTTq9bQOMKIBMYvrLD3Wa67n5qV95XPdnfNN4B0BDmUCxC//v7uvk5l3DbZ8srDFH67Q9gH37DYxuvBOAVl8MMHZY5rWDd6t7jEIRhS6eA2T+L9b7lx/nThELJRXsdve1tjOSx5//+hU/ZPpJmI9E8vEm7/5cmxtXtnS+FVzUJ51XiiX6rGOae8yRh+64GqsoOrgK+I7dQPsCuI2aBin+w751DZB+B4DPeq8eRV7GptRbOg7FmuR5h9V9igmnyKVz/tb7Dxb3kfP3bLWNvu87sdn/tt858MT7KfT87INt27mfYpfPfOWSc+c/7xlvDFdbFa+OXP1pa9the9B3/d54UZHKjPfOcRpjYpBTQAKKY6CTYQew90oVCkNXkZtxOuB8e4Q37iV93XvPbvvFSueFDqQclaa/9FcHFGku0vN6+583DmAvBTg3bqC41OsA6D/1YKZj2wPut4S9cTHA3vFoO7awPttMe/0AQMdW3l7YzxLuz8zzZwCdtcxW4tnj/I4NYKxYxDixOOh1WzYY2xnfXaoyp2BuF80Vh+yxqHFVcI01iyXb76SwFSZ7vm2w/ALYF7tWUYoiTgpg5pEY9ApMzB0pJhXvFJCoNATmKSAB/AHQpzDm2Fxk6RpKAAAgAElEQVSRbWddNWz1n/ylS0WAPRa1Aedc3BfHfus8BzrO5x/5LqBN5t35B7T3GxUlnulbwl2sUFjyW0vxvwH0rdbwDLI/y7n/WQIOsc7/EHC+wHNzc3M84LNxgNyIwvyWzm+vttGzrJgoZhQrtz7VBRZ1xbRnO8B871/OAcP8ko9fgHjtMR9TTEah5pl9bo4ASH++JhW41P4NNAPKAecv+Z8Xo4qAKIjoK37oWOl93+9k2zHQfWcbLRs8b3/d/7rXIRX4PrC79712z8mCpzEbD/QY6ADz/M/b7jOA3n9Ju38YeP5npZDkXu4+uGPgjoE7Bu4YKAbuQLgD4Y6BOwbuGPj/GQNNBppUYttiequ+569lkth3QPSWvi9pZSLV5AdoK4nT+5IZk9A8cqYkJfd35NsxAXptUtdrE07y8lgUkxw5DNkSI70nSc5vmQ+6SS8/6EnIHIZ6k8mOpTaRvZW87LcmuSVhWrfvMESBmqrCJetbV9Jokppvf/NiGPG/VfEt0YP9g9EjKcivefs3SzSSxiSHub0nnQMe5UDGzR6/ZB2PbKHkUslTsrUSBRKLmFZYSi39HxtLkphP4UfND/35egCeO5/YOqTbByQ4LHSJCcATABIgQc6795NUJ+V97AjIT252YDFmwQoErJOkBhIOG/3EobaSvWwdrGNxiFkb0NW2ATQYPAFLJU6BcoBVbCQgGkYr4OOSGw+A/+wDFMcWsk2FMFi2mLjiZjMQ+VkGMpGKl/TeoDkpeAUiG0QvaWld37s/SUZuyXdJSnLvPNT/RRnpAej9B1jesQA6sHMBTYBzQGe/kVYGFgO6AdWBxSROMcjH8zzGe8DzOw/W+kivnqKNzeQmvyxGebJjYLef9g/AJdvMOxxoXRzxG5f8BphPTMcgP4xy+7BtDHCf21b7b7sYsRjNCgOw4Kaw4AB7taW46X8k77U7gNz/awe5TIUAtS9mba/DSj9S1G0n1QeS+UBCHvGuOcfeNVbRgOuWBzr2Naave0bb7v0wRyvQOpLoWz7d+aVs4VoD+gPiXXNtg1T2xNjbX5s+EVv1UetimwOsFTaQt+64MNk7DoU3w/Q9Mvn9h688r/OdqHVPmYKJz74321SgoIhA3Iu3fu/Z0zFihQ/g/dO/ebHPSfOOMsUBWDHCAe2XXO+nf+3Rb4cR3H4oYbRtxT/uSbWn64gHeq8S2thnvbp3bflVxSM9//qu5yevdgzq2qBoDjNS4rz35P37f7+PJD622UmWS67PdZfM+KuHbHd9XptLBnff6dgpRSh8AnqP9PdRMGAfwCqEEgI5dsfWUvvcA9yfNrA+KggHgO44KUW4pzk/2KHdj7sOStg3dqnNtbdjZPEBaBarU5D11mPMBjAgUT5KREfqH9NbLOj/zk/7ALxhhQ/j9sigA837D2n3vmus039qt4JNku1sUPjcsrMxprpUELLxOM9lcaloU0EJe6L263nceQYE9p+5fx2fd3LaZOZnTNxxfPrXruc/G6Q9RuvVebBeYzzqDsWwIrXGfUBwnt/A7Map2/8cG1tB52Zbb5lz/w34xszdQPm2ZMFG34Bk32Geszb62F/+G/NcBoz0PnBH+4wHjAM6tom9w7yvz4wVAO2KBoD+Cgr0jXmGYwdQbrDSsTwD6P6zpeo3oLmB9A8D0LeNDAD9Yi+fsU5L56MYBmSRmBYTClEU07lHKYL0HXsQ4whWKj0HPXsAg90/pnD0MGUvWeoDDI4NwykmBOSZG3WNdi2MHcP5DYN1irDPK5brLtKmHNH5nCLsN3/lksynrtBvmxFbvPf7WGkdUF1RNyWk7knXXOisvwsqFF1sNQWFJBQU+m7bEjR/btnA9ga9MdWNTZ/l2vdv+3cFHB8m8d62XwLPNwv9JSb6R6UQ+nuxzr/8D/63rwHOe6b3zH0G0THP/aaQSry1AIEp0JRHUARvXl/8AMuL0e658h+e5SxKgNjb63yD4nIStal9IRF4FhqXtE0WNN4rcNxKEPt1mO6v3pv2ByjzPSeR/sxE9z1rOcxxfeIeQ8WhbfespzCyZdwVI2wAvVcs8/bj/oew0W/A/QDx2luRwzN4jn0ecO65gLH+DKBjoN/g+eu/bu/l7oM7Bu4YuGPgE3/ifXB38n2h3TFwx8AdA9/n5HID6Nv/DVg+CYbj9dUkqIlKku59boLfRKZJTRMonsvYGMNWPiygJnyTIDwJywEjjlwmdjqGUOtOguMkKUmOlbiqfVuCrO9IVJdgB5CVsCBHNoyi4wndcfY9T8m2RX6tzyUkt7SaZfxfjzQuyV7J45F2OzK4wAP+oRhGw95/93+dpBGvwJJSJOb1GQZ6iY4NnkuAYLVsycwt495C4hqDFwMFi8J5wkDfHtkA8vpX4cHI6x8/7NaTZMTukMAle08lgJT7R8EPnaXBM4DeOceaVgyB7YVFI3lB4hKjcychge1XwvrIT26meNsJwHsGz3meY6UHjrUAz4q72gYEGUbr579+sWmxHnndAhZ3MQj2LoYRwBYjmHw4f3ZSzkAw4C9Z4C3jLAkLBMUM1W+1k7fl5W+5/CsB6SR2gWf8cvt9rA2yJjiAhvj3PQlX0u5b3t37Z990ALr33eu+F5DOp6/1MbW3ugBWMMZwC+Bz+3+OYsWv/v6cY/7nAZNz3zvg+vZAx/juPPHWxi7uXtbvQLB+c24ByhQyrsKKswC43dvmnB+pecl2HuaXD/mJczE2LPNTaEEqGmjX9kllAsDbxhRanThWwNH9BPsX4LjBeNeIvmJ1ALxtHzwiW6d2tV3y3DuGh13++a9fxSCtv2XySdwrRgBGYmW75jDr9Xftqh28kYc1d1RNqDBg717g+yp6AEy2TWxxQOa2hFBcQSKdXcC06xQC9Vv758ve9/v65HHv/gJwF3fkpN2/xJaY2wxmsb8LiTr+tlXxAaAV8Lml2DsPWIPzeiS4ewZ1D+CPrsiGjUj7wFTGYHYtjuzvUQ8g/V9bsc9LxDYm6DnYM3Mn03mk91nCuucDCdXeU2bxPNRXWNN9p5iwNtYe+8Cq7PyW4Fd4ZxzR98VPCeJea1PtbZzT/ah+aRtbbcI5oawjRsS9Z4wCqvbjXq5oy3XjOaHwReEYRvc8+8/9TGEHP+LOUf3S+xjoHa8Cwrm+fv79B1B1pMlZi1DrUQRBEQFoX59MAcUBzViDuM9ejNszHts2IgoAR+75FAgaF/KupxSAld1/yKI3Dup4nFve4saXgHvWJvUh9nnrF3f9R6GdPnTesNPb5wDi3Vt//gHWY7S3tK3aoHBjrv23HuxHgL52t9Rm4z++5yyUivsNoGNYN7bejHGACFBwg83Y3P1nA/D93n8B6EA9wDlQve+fPdDb32bmKjhtv4EqPaObl7SNroW+672xde1RZNuCbd75cG6NoTGL22+fjYONs+uX+m2zkIHhWzFqg+iAc2P2zVofkP9JWnsz0J/B8z//b/7rf4iB3nyhsQewHnO+/dUvxWVzt5buF4BoBbNe3ceoiIhLz+JRdKBscwr9FFcZv5jrAMX5R9uH577vFBRZV5Hzbh/w0vUFpOt97NNdMN31UBwD88wF2/b2rlaMTTkEI92zBqu4awEQT7pbgTFFAv0t1qgX9Htx2jWAaQ5A73xvVvk+/xsk934Xez6rKCk6sbStZ8l3182Orw9jom8Q/d/9d//9j3+UQHQF0c9e51/+5v/+fz4D5IDlzcb2u7l6MUXivPPeNbUB7b7v/LLKAoSzAMFAB6BjuV/y7Od9/+vV3LL1AOJdZ9ZVYMI+wdK6CgO2/7lXEu77mLHEA5X5nm/w/BlEl/Mh3949FoAONGd7oOClpWumPpqc0icfzwV2gRs8b5tbpt19zj59DzwPJG8MNCD6Ac5jnud7HnhuaZ9sPnisb7/zDwPPPyoxfy93H9wxcMfAHQN3DHz8X7AP7mC5g+WOgTsG7hj4PiaYgZpVZgMMAeiqhpuIDYh6fMp7X6LCRLKJTpOZJlRNTFpPIonUMhnK7cGIeQ6cJCm2wUmg+pYowzyT8MD6wT6VBCthIXFAUq3124bJMFC975oAk27nZa1KvO+wByXKZ78HKDWB9f8SzhJHTU55Xpv4SoiW1JGArb/JspuIkqXESCDlvpOLHackzQbM9T3wEFheUpMcO0aGJOoHXk/CUD9Jol6ShqTbD3udp2LnAmjQucZC337oP+jXwpZvl/DA4Or9SJ8fpj1QBJCElc6XsX7xmXfkxbY+cpkk1IHnAQu9AggBjsWW7/nQjnz8KfzAEgU69l9evpI1878j+T4WBAcwLfG5fW6BL22v78kt19a2BaQMsAWMYua2TUz0LRduPX1Uf2xvvpL+gDOgGFYcViL/Waz0DaB3DWCaU0aQKO9377e0+wbQn0F0npPebyD9w0B0ie5J5B8WMUASwxj79gLXjmcwaXISqsAr7GwAuqKHAMCAVOxz28YG53s+ffv5r8//OufbU717l/uXAg2MYO0m8475jL1OYh0Ih4kGLJ4iouP7zX8cY612F1e1jSf3gN9Hcp4PO6BaMrPt6wvFJPzVW6/vsNDdt4ul+qffgLmuKR7O5PKx7PmzKhpwTfTdfkZgV5N8BxrqP9eDIgb+7wpcgNEKbnq+2CZJ5/Y30t0HCK/9Ck/cV+xPu2tDYFvx1f5IWyvkwLDlgS5GgHYk5sUpCV9FMTxzh3HMD/vzX38UcZxtet5he0/h3AL4McAHXD+/kfLuu/G0futRaDBe6AfsHPnlU/R12TscgBZ42m+ez/2v+zggnV82X/aKP/qt/24GOl/xxgb1P9A8qfXGRX0uZgHJ5LcxfhUAeFa2j8Yeip0AufpazNfftXuUb07hyu6zttkYLA/0YWu+eu8DAHp9omhrlBaO0oeinB277v0sZ+aaf/sRM1fcv/sHV/J9Pxvcn8gwk1AeCfV3/tFcb6M0chRFWpzPzmHPOZ6ywOWWfqMmQPGkY64PO49b6pa1geetZ7Dx5sTQm79xSUzzPd8gOhlzz3hs8u1p3rr81knyz7F95ivz32KO73jHuceZjWMVGM7z4AAqI9V/jqdtKSIZ5Qbn78jVGy+wIaifPeP4PG95en7z/R+QOGpDy/NdEeUwco+9QGO7PhsDYtli0gLAG4cC0P22pcqNu4HEmLptc6/zseMZDkDfgHmL7bYedqP/bQAd8NgYuf0GwnQt9Bmg3Wu/GSOTqb/Ulc7YGBiqaKBxwbPEO0Y98NwYfAPotcfxOMaOBWOdHP32fN8AKmCz8f8fJeHesgH0/ofpaamtGOisExQpG+cDnxVPF8OtA1xvHUVoAD5zIHYvlFGm6OcU42zvZv7oG1CnsKGY2veuIcswxE/8mksW98Vt/3e9aS8WcK997vi6JqiYsApigdBn17LCGP0E/AOem1cquJhijDceTFqFJNsnXQxWUPLshb4BdMUh2wcdQK6IeoPp3m/VBnNfv21rga2QQPr9Jd/0DaR/1ED0zTzfrHOAuee5Z/pmn1N9YdG2r5cpOjn+3MWqwnvFHWwrFDS51yv8pXAn36EofxeOeLYZm28Ll66xeX4f9T62ca6f7du+fdAdLx93x6ooYLzLP/nZCzx3P9kS7gB1ioOY4M8AulwRZQfXHyKGa4lfetcG8BzA/Uexz7UjUPyv/sh/OqB547WA80BzrPPA9S3NTprevjZwDjz/y//V3/7cM3j+g1z4fy93H9wxcMfAHQN3DHz8++iDO3DuwLlj4I6BOwb+JVi3VWcDDEsglBxooiPh0WRQEqLkRgnkkrhNRFQDN/EvMUS60cIbcuRKP3sSJcff3GTSJJK8+v6+CexM/F49JDdLfkj8tYzM3k/+0gWuY0eXQCjp0KSWzJ9kIp87AKmkC1Zf7TTR7FiBVAB/ydsmtE1i+f/xNANo9BnDs8SSandg7PYZl4hsIqoKu+RZE8ad2JAYKRGzZTIBh14l/QZAPJ+bsGJMYBxtH2ky+H7DAuHhyjeSDCLQXdX9AKPHA9Tygy7lXnt45G32OaaWpDQGOvCD/DowEUgBTJDUx8zsMwCdzC3gHIAROBMTkE+0BaDKB7okCu912yc1DXy7JPsOAAu4BMYD00lyY6JvsByguWV5B+g8/s6Y6v0GJAX8A2I3cx2oiP3sONpn950pxHj7mw/p3ePR2fuANqA5hjrgXBK0eJWkn/vBkd30ugH0rh2fSbu+xEYHogPPtz/6h7HRAei87YFj5Pmdp45zs/PrkxJdADPSyd1X9PUGlesT7HCS/hQH2l+/81MeCeRXD1ZYrwBQbDEgLdnVAT1ffesDcuptX8Jcgg9IT9rcsVBeAODXXsUdAHOguSKMYpD8NyY3ljC5ePu45NyPXL2CjY6DLDuwfKTJD9Cuva0jFreXvHN0+ZgfgLHfNijumnV++50qhPZo3zxDD+MeSCoeYj9jm0uYdm7qY3LTHXvvtyR3zyvqFQo1ei5131G4Qg2AfPnIW3/hH16xoLBl5MUPMD+S7QfEA2hi7dZu/c7PnEWE46mtc388jHRqBN0rMRSBgwPMv/rWXMvujwDY2grcZM8w4OdhCFOb6br+8z/2dx/S7gcYdR8BylLAaR8lkXmrY1fWP63fMQdEA9Alrvvc+/7b+VWYVH8DgopjfqTGLLWVykD3KGMEnvdz3zrXCBUHsvPbv7v/u0avwofPvzttxHiunYFjAPQp0jr3F7FKIpwdRG0oLlkvKN6Y58W5LnzeMrBboULRD4UG8vMKMbDvAeh9Hnn2z399nnX1xxQN/sQvT9vaVvfxUSYKBH/7m7Md9/2ReT/Jf+2pP0njKiTDnvUcGfn0L5wiptO309a8xU/hCHnnYouCQdsd1vspcjImoNhjrNNnY0lxqPizeAPiUykgN932jY3HRuLV47ndvsfm4Y2vXuCeGOfv7tiAiZRNeMdTyAHcKHgkb23Mx45nWLZnDN3vwPOAjsajgOLte+79liPfPtCtD0zcMu9+3zLpjXeBj9cY9y//jUuyvf8DnzFpWxov9xp43NK1UXvZH/kv8B9TeApKjypVxwjsV4DqeBWpAkkB6Bs4r6/ahrZiZjpmIPoG3xUVOP6WZ+Y5AP0l9vlWvSHjTrGq/9QnChya7ww7tuNYDNlisM/G+ey2to1XbPVeA9q6xzTvG2WMMzcksd7C4sgz0H1eUd/YiGCYH9BwlLmORRbmu+/M0cwH3WOpTsy2T9Fux2Qd10mL88xewbOBEga1C+9d1zOmPCxarONdjKDoxHhToYl+VqjR+63UsFUHit3tZb4B887jZos/F3U+s803aP68kHXv9+LStbPZ59Z7CUj/qIHoHwaeY2YrgAOgX+D5shegcketgWJDsWA80LUgTt0viwXPiZ5l17zmPNeB6HIeLMF2kckutvcecxyYbg7a956FxvGbfe5z7WWhAPinzDCM8U9+9srlULR4iYkO2N4AOhCd3Z/rRpEJAH3LtgPb+aAjDWCYb/Z5S/vc7HPgeKA4yXaMc3LsvNH7T2xzDPsW7HPA+V/55FvvB56Xpwg8L4Zu8Pz1X8v3cvfBHQN3DNwx8Ik/kT64O/a+uO4YuGPgjoHvEzxsohnAueWqyf0F8JbMUPkPAK7at8lj6zSJakJT0qaEUMk4yTEy36TIMLSayGGPDzjzc//jxTQHQvvcek32WleSk2967SI9PtLOAcZ/5Y0PMLHJTaqInsnsYcCXONoAODk14Ge/dfz8QLHNTHR53ZLoHkbRSe6WpMbu4y+4k04dDy+92rv9EEsAttSnkmFbtlIC5pmBvgFErBoAOUbR9oMGrlsGlDxge31d/2J/dK63BDzG0rxfEvAkRSUMiqst5f6DmHiRcHEdAMo3eE5BwW8SgiN3fFjoGLbAJ0lznrTAru2B3XYCrwMUAmIswOVhCL777Qv0w0QFxvkO0xdLtiRJ7SNJTb4dExdwDsgEzg7QeNjl4yV9QBGS3IA+PrgY1e2LnzovaOxGXtt8pbGUeXrzWuYRzB++axV4ws92mIwn1gZUOCz1gBkqDFdsH4AdkL79T7t2eo9lBljfnujPAPqzLzoQfYPpJXtKTGLrtgBNFS8oGiBrLQ6A3ySY+YRuSfW2UR/qc97inS+S5hs8VsAQoO43IHl9L4YAYsPSffWtAXd5m2Lqbmaxwg62Bdo4LLRTcIH12nekzPmtu5eKI37jigWGKb0Y4rW/z73qK8zxAYu/+LsT246X9QAp9GLctTOy8u9++5LH3oxa/YwJSj2hfY8M+5FD77U+cuyUITDSSbu3D5LyjncS9K++dZ3Hjoc/NQbflsIlk97SM5Hku3a3Hqls9xfgeftQ5MNPne0Cj/SOwzPMtVhb2u4GYcWIYjKs7mLc842lhfsC+X794fjELzsH4HDfBWTwkibL3n2AdHvf9RmAzs5hQMwv/C9z7WPnk/6vPa4nPustCgkwuQOmuxe3bA9elhoS120LeL0Bpd4DJQGZ3W96dmyAvPO4wWiS853HsbN446tzPGTLawvWc783LlFIMHH1996fe1P3u46ZbLgCm9nHq2984HwohOiciTPPAK+YbPUHuwjFPNjTCjamMOPtx73L865zB0ToWBQ/xUCvzcYg07bPvzvHR8JWYcWPLxC697UJCNHv2/e8+5PiSs8IzPORoz7MPSpC5NH7fpjaR3p/xp6fe6gI2DY/dGPa9ttx1W7jVexb9kNbZYSiBCb+sPVP4UsLOX/XHXa8IgRy8vv5SMlp1n31UC7ou8agikan/Uct6PKMP0oOQHTKQsB1IDngD8jLQoj/Ob/nDaQ/j015PwMYn/2/t5c6pjaZ9y03rQ0b+ANEUmoaCfcf/fF5PjdeDtzZwHcL+e7Ob8fa8dcuY2MgN3DceBernsQ7Se8NCgFFjeEd65Zt733j8y197zg3iF77XwLQn9nnzb+efdDNEzYTXZEs8HiP9UfW/zPvTXwA0AHr2NysvQITsdSbBwYy9orh3eL67ZrtPmsspMAFeN7/gImuabLS85w0Vn7r/evaUADjGe2eaZ1tGaGghfUPhQnPkm0LQr3k+XyTbx9w8Kg0ANjJ47coiqDyhX0eOOm6AHSLfd8pCgGWi4P9ncV/jVMVVm9Wev/bEvBiwhxSkca+lrZU/Esg+r/3n/zn/9MG0X/QiqE3KSA1MbLtW7IdaL7fA88VxHUfpoggTov5mQ+f5+m+DuQWioE+s/zallPFYfHcbxTpFE+xDBmZ9qM6skF99kNX/uEUKrK3A5QrCmjZRbEWRYEtCgKwz7tnfpjXORY6YB2ADjgHpJNwZ5HQNYOsQMFhF6Ls9/0XaaBFG7Z8O/Z5nwO//9Jf+I8GNA9A53fecbSUL1HIVJsB5t2Te79Z54pDFPnfwPnrv47v5e6DOwbuGLhj4BN/on1wd/B9kd0xcMfAHQPfZwyo1I55u5ngGD0mhE0eSw63NBHrtUlYExQTqyYnJLkk0IDkfMFL/JWsaZu9joTfYQ70isU7ANth22B9l9wYEPNIuJOfBNar/G+99q/iv6RAk7kmcm2bH2QTZCBAAEeFATxOgUk8y5p0AkYAYbUf+26YdafCfKQHj9zp9lKbxLMCgs99dRJXEi87iWhiygsMiL49HyXidnJwywa2bPBcYudKop2F5+iWvibjWVKgPhtVgFfvXZLvkm4WALPkPv/q7YVOyv0HLfHCKw/7vPPyzDrn9U62cku3k64l87+LL3rdcQ80xQbFVAXYYKpuwBvYhf0KqO499hygrriV4BnQ5DDMA98xewMPL8n1d//gAuz7DGwnx92yQTPy7BjnfcYKAv4C/gGrQED7JOMMLMIowpLlCc4LNvBAX26p3WGnJ+17YngzUlskivmn99tmmElmP4Poz+D5M4BO9hIT3bKZ6CXvgaRAGqAr8BjQC0Tf/uBklkdx4Emm3LmxzgBIR0a9dQdAPWDvJL6TNV4e9tinAH3bV2zRPkknb7BVfEjmYZEDsjGMrzYe9YV+ty4Av30Ao4dZe4DyjgkzPlCXR7rt8/TGlBevQNlhQ5/CD/7mbZdag0IQ0vdk3B2bYgIFIuLVcbn/T3yeQhBsO+cukBWbGjOd9UG/AcAG9H/n4Xk9crSnGKV92C5QrvYAnMci5Cgz1EeY31Os88XfvVjViik6v67D8c8+igKYT9QG+n/7xcx2PkhLt82R3D5AK1Bde/U/oJd0u2uXzUC/Ya87PxQosNOBIEBLMtWuZwsQ3fVN5pqsO6auIieFFn0ulvjOTwHEL/72AOgBuy09r9lG9Px3/1OAV7vbf+dOsr0xEeZxz0gKPArLWCwMwzpwqmKKU4BBfpzcN9AcGGRc0Xlrv93HyBiTm+8+1HPcOKR4Dogar/FTAAE8p2TiGpyikrWO8+/6LnapO+zrVdGDvlT4MZLOb/3WQ0micdpP/+bjWD7z3rS95x0GbOOxUbz50jemzzpulgCjYnGKEuv3+qD2dk6KLX6wwGZFC41bpnghsPAzD4/xLdnOK5wfeAtAvPcAimnLZx+KBeTcjZNHgeGMEygqtf3+owCx4+u/nbf6qeOovXNdUS1453FNGnu7P2Dvuo7atmKTYgmb1rhkxlxv/sbslyd7Cz93x8vrnLUPZSJgcedgM6ONS7dMuXGosWjb2KC4cSkgHnBu3DrP3iPhvvcD+AVC9z4Qr2cuMHpLnJNwDywxzg9AASRvOW1tqi3kvesv/TDyy2dOsWW5p8DgMCoVCjimtg1IVwyAldnx7QIE7X8JTH1Jvt0SiPTn/tV/5UNB9M0axbxXXKDYobYqMDQHABS3XEDfT/7S5QNebJmjKSbiKd7cDzu91y0Dz5ccs7z7EbuS4lbBMgCRgtP4RJ/nQbE6945zT59r+BSFuSYU5LA4MOdo3bn+ThGsa0KBTN8B+MhMT5H4m4+CZgxaxcjb+1yBkv8pNlewrMBiF5Bsv3ss8C3vz65ArD8D6C0b3N7XCMC8z8VN641U/JKB36oGgHZFoM+xtneZhIMAACAASURBVPdpG1vOPRA9pu4PIohOSeyZeU7SfIPnvvuAhPspdqeSUEwgDRTv/X+sR169N+fca+deTsIc2TiBFUixaR4447CTA2l/lGFcD9jm2uR5xw6hZ8ioE/FsP3O/zah3bFvKHYg+CnpHSv3DwPMt4b6l25/Z50DqFoA5YHxLt7veNoiO+Q5El+soLknJd4/bjHNS7iTaY54D0GOYdyzuwWK44xhW+o99al4B57dk++u/Zu/l7oM7Bu4YuGPgE6+lD+6Ovy++OwbuGLhj4PuMgQ0e8ifnzVgi20SONx1P0JLFWBeSOE1QsE+auAPQJesB6U0iedyVcBkZ2eNDSgbQRBHg3rolt3gjY0DzEb+ky4+0+PYrlEQooTNA/E8/fCn5rpeQIWHdsXWMI9ue324sxy//zpWE3mzfEsW1WeIZO7mJ9ABEh/FVotkEGOC6J9+TnPnkI7E4oP+ZlDYR3AmNzT7fDIbeY83wcMS20Rdbqh3zaJi5h6G7AXRMjZEI/dxXLwC9cwVYlyzoFRMdWCA5LXmwQfSqvH+QKrwxFroGaqOkKsYWuXoAOvC88+y9xAhJ/+ILcIQt5jfJ8eKomEuyPWCCpzOJc+Bg6wIVAS0YnoDXvtt+4u2r7ZBsB85j0wJbycKPZPa7376Y8MBuADogBTgLYOGPjSkPrJSgql2KBQB8mLD6EuMaYIZpLKE68sMVHxzwfMvqYqgHyCjaIM0eiCYet+8pAL1ro3gHols2y2eD595vGfeXAPTuhX0u7jtvtRkLS8ED1iYg3DmsjzuHinWA6pjJ42l8wCtg+YCuRx4c+NW+BkBfjGqA9d4WcBujVExQKAC4A9AxJgGfLd3TAN7knxVZKJ4Y6e5zTvmXb6l0gB5mOBny2tQ2KvCwHnC7dgChMdYDtbFkbbNn2BRrnN8mrr7wv0wiFIu+3wDqbU9xCk/qLU9PRaL/ABMVR7jerKsgActZccmWna/PtgT+BiC932zutlOsB0jU554v2oANP+fhsKX5nffbZqeOF+cB7oESFB9at/9NQdC5D4xM72l7bavdnoVk+4Eg5MEBG2JJO3o+YCjWl4Bi8uoj436Yga73rl2gNlCFcsqwdI9XNrB2fLAPoArkHUD41TcuBvoUxP3ib8/3GOi9NlZoP8YmxQdvchYJI8F+JPD5XlPFYRvhPtSxYMV3fUuU256xRfsCuA5jfkmTU8Lpc8/jroHiuMR57ei+MxLkn31vzglG8kgjv/O4p0/fv/rWtJVHufu2IoEWlhIDKKzrYopKMPDP/cw9o2sFGIwpyupGIUbnoz7B6K9oqX7CPO181u/DvP7812c72Hf81qn/jALHYWj33FZ8ZUxn/1jlQLd+J9VOxn2eH+d5j+2OkcvWR2HD/GeNC/p+pN2Lu1PsgL3YsdTnlI06h1QI+o/n3Pjcn2LRrVjj+nEdA2OmsOSz7z22f8YWZKgx8kc+/q1HESz7ouITaO6177CtgRx937MR4B3A1/fGnZjn2/Mck7pna5/9hoUORNxAO8Y5JrltbEa6MXC/BZJsJi2wsGdv/29MHcCCgd5/jIsHAD3j4Nq37Z+Ay/Ufb2v9oE+Aoba3JdyN3bU5MAiwqVhAWzp2YxCe8vs4sc/73HG8JOH+EgudDzpQtG1ghmq/cY/4N25XUHHF9Ju/cUmaKyJx3ylesM4peWG06lPex9i7ro9d9OlZQmWCUoMCEde4/9QGz3PKFqwMKEKY0wHBax9wu/kqGW72XxvsI1OPae76mPnNUUMxL2o7ezEHYnG1Cy5cR4onmtcpkN52BVuufUu4b5l33z3LtPuvoozW22pKzzLt4ky8PAPp/R5o3n+9/0EG0YHnm3m+GdfPrHMsbesYh8k/NNftnt16xUVFauxcxFFx7z6i6GTiPFuIN3/jsu8obt3n5xo6hVLUGKj2eG7KFbDhaulZQqadfcwuCCBPbx5IDWwXDlD4I9seE7sFaL6l258Z6Bs8b9nAee8pjHQtYbYDzfd1tlnnAPztfY5l/izfzhe9e932Np/z8g8eKhibZQ5AF+PaC0DndU6y/QfdluBe7j64Y+COgTsG7hj4+B9jH9wBdQfUHQN3DNwx8MfAvuXdNcyBIzfLh1XCd3ugN7FssqJauKRAE6aSNE3it4S7/wPJVVtj+WxWAjlU0rZkz4c5cLzDJTYwgDBIgMMlgvq8K/9LMtQ+iVUJy8047HsTTmBjiR7AFm/XvsNsVLku8SPZ1PbbtuOcietJao73+mY8HJm/2lkVdhO+JoT16bPsn4Tj/s52JPSwHjAiJA3rGyDjJeH+E798SV5LEpWc0pfYJED0zVxRsACo5xt+JRDeesgtBk4XY8VaE9YfBBC9/Sff3iQ6cB+ADnjdRQFbvn0D5ookfJYItADNt/RvyfJAwcBqwDnQC7AI2GwbvS/uFGAUY0BpIJsEEKY65qsEysTx8ZgmI95+sTIxFfoucA5oT66bB3L73b6WwFYe6eR1eS3P67kuMPWHAXE8pDd41+8XSHnipoQpT2Tyv8CzAd1PoUOJVACbmBa/7gM8QFtP8hrznPe5hP8fxUT/Xiz03ms74KO2AoY7bmoF4zN8ACESyhJgwCyMfh71GMZY44DiUS04jGAMUyAu0BsLvHNGCYDsMCB/2wFs1i62+yS/33ncC1v6rvVITPLTFosAevsArgactkxM/cKDoT6s7F94eKBPO19942KKi2tMZqx2oGCA8gDN73772v6Wlndd1Y9de9jUfd+9HSMf2OgY+KOLcc+EYlYM72IIwHDtqb1zL3j1QQ9phTGKy7omyGD3GQNV2xWgdH8RQ8VWbWMH0X/mefnr/+y78tFHhp8f+ViNHMDU+Qbwd88fwPew/ubaPexbRWa1t++x7KkSADbEFw9rjPbaoQiia3knqwHkPMPJlgMKgYP7OcXjGiDbf1t8D2BsERP2Q7q+9Xnxtn7gOQC9e2ZjnRK0jRG2hGrHrEDEtUlefVjIB/h3P+LV27PD9UwGdrMwSecrJqq/2b/0XKVeURJcMt9zpDYOiHi81ScmP/OVObdtQ6EEdQrANqnwzgNFktrWZ0WFrjv3FoC8eB+rgJ/52uP8noKCef4fCXcFEc4xCff6vftq92ugs/NNuQVoTgUA2MYyp++x9vtOUQCZ/H7rHHRORrr9sLMBb2R1sdfHT73n0SkEVIDgs3HogIpHWSCQrrZMYdRRpcFI73njPNUmahFAcQVxAO8BF0/RqGLLxiGeJ6O8csD+aSe7nAN0DhPyyLgrgBzJ9p/45Rkv933rKq6cYsFj+bN9z8m3U3ICjAMDPScBxwD2zT733CXxvre3gfQ9rvWd/QPYWxojB8AAR7DgASXNRQLYsRgbQ7dfxaR7LEyGve+Kj/qCNzqW+i4o8BkgagzRdxjHAPPtaQ0s3yzjZx/41qn9my0MxHwJQMfMBKRvAB2Ivq2fKFptpap9jrCs9Y3CIcW1xkytW/ywDuj+NRL2xxIL+xwI3fu/9eaDldrcB8BIgn0Xl1J1YDtgXrjBximg/sxD4cP9AqCP7dr4ve+0YZQoji8zi7G23/VjfEhlgJqW31xPU1Tz1kNVYtQyli+6YmJzUIUXFtdI/U65QOEJX3Jx3vnqFWjdIiaA4tuzfAPlXrc/et89g+cbKLcPqkovMdGfGek/iCD69wLPNxP7GUTfMueKj9mhtLSNxgCetwNCH9C8c97571rq+immFJMXBxRjejVX2rLrVP625zrbpmL+mTm+8ybAdcB57TMWB7Jv6XdL+wRukzLHPt8S7c/g+QbOsc+fAfS2t+0sLob5Gw+FvV284veuA37lbQNIrg3ubXv/Q9T40R+f77vXA9CTct/+5qw0ug+23b4bO4//8m99J8n2Z+D8deci7uXugzsG7hi4Y+COgY//KfbBHXB3wN0xcMfAHQPfZwxsAB2rSdWzSaXkn0ll4HkTt2FpffJnpxq4yU6vTYzIHJY8IP13ScgehoDEyPa/I1E63716bxIXJUB4g01C8zC8JE1I6ZFvHwb1SWhZaoskVZMorHdelyaxZLNNsoct9PY3L7/PviOBhk3mv4FgWFz9JuFTH/Uei4msIeC/Y6i9JVGa9PFzbNLXpLT+3LKPEpiYsxJy5CYB6dgxEl+YERcbnTd0crgk3c93wAqFCPUxyboWSYKSTAO4H+Y/yVBJJ8lknqNbyr24e90T111AUtu2vyFWDpUDyQ/ALkB8e5ICI/mmYryRdQXckU2//MiP1HIgT/EW4BT4h53DX337Bdt27QCgAyKBGwBUwBXwko9y++TL2rXef8f7+ng/jwLEAWz55QIIMax5LmPm8hXuGAJKgEuuif6PLds6fOLbHtBkju8wSi36ESADPLvUAn76N2d/YnkUFZYHOjAL0xwbfQPowHKsoC2b2Wu/97pZ6KQwN4jea8mx+h+LEIgKRN/exyS1N7vTfYW0OKlnnueY1JQKNkANBG7hmz6s4wN2PasZAKuBaBvoxvBuX4DlrXwgJsUq5iQ2DfB7mDOHBT8x9PYDcEuBQdFE/TXFBQcAHwuC4uHIrAN6xy7g3W8PqAfcF+PFb8fRb72/lBTa1tk3QLxrsG0BNPtP16QChfE+P1L0VCEGlH/noa7gvLpeectTTlH4wn8bO995l1gt9p2ftte5x86jOICxPSzYU5jimdM10OftZ933JLDdq9pG6/Bq1u+KBbrOWCW4toF6W8nA/QErnidn57pteKZu6XSM/NrGS7RlWPwH5G4d1zqvatf2MHFPsUzX+Ui6/80vDiDbf1k1DIP+3BvI9Yqftmd99xj3wtqJgd7Scx7rrHFJY4Lu3X1vTDAWFl94XKcXi/IUWyncITXf70Br0uPtm82B++RWHBl51667L3zXs3uKPj7/7rStZ3nb7H3g4gDoFS2+/c1ZX5EC9QP3bufBOQSIU8BQKMHmAfvcNa/YcK7tA9br32usc5jTJMz1fUsWG1PA8vfev4DtXqkMbQb4FHGdgkrFBFeB4pu/cUntsvVQtDEswLfev54BxXFjlwHDD5O1tvEQ7/8k3LFvi6HOEQat8wCMBvb3PwWgvZ9ndOD1aSOVohkTngIGMVN/szWY598Xf/eKJYxfnunY9mS2FfTxfwbyU9EB+mEUF5OseGbsdiSqOxYMbOA1SXJAr4JNhZk9B1t/S73vMaox+GarvyRljkX+zNBtHSCh/22mNzsjHrw9o3vfeLnncUvfG/tv9jWgvGPfRbfaDFwehuQZS/sfULSxA0Ce7D1gGit+s+tfYt4rHtjg6AY4WyfQaMu3/xv/2p970Qf9mYXe6wbRgfu7//Vl+zdf80qK2mJMBYjWT8DnAbAP2xuIDjQHnnUd9ZkMfO+pI/QZcMlX2nu/9dp16HPbs01zwSkSOUCd/fgftQGFv533S9HkeKZ3z+kz1QpqWl1bz8dDhYLkf++3bYECDL/rMxZnzv22L+h8kXnv/QbDO4/7u9YHFG7pd/FnPTH1DKbvgo+XpNw/DEj/QQLRzeFeAs973QA6YNl8Z/uCA86xvZ3r8hyNB3rGdn8v1sVu59h5p8hWTBUz3e9tq/imZMPqa9QVjpx7z6SeqaTZ+Zrvov1Lue6wyPm1O87n/1JU6llurHEVfXzysxODgc3b73zLtvsO8xw7fIPnVBT6rDCk2O++KfY345zKwyh7YJ7/2KceigyHgQ4k3/Lt9g/Mr91937Yan20AnYR72y1Wi+stNw9AB5y/7hzEvdx9cMfAHQN3DNwx8PHX0Ad34N2Bd8fAHQN3DHyfMWDyCUDn/8VbywStyZvveYWbZDZBGQb6j/74JcMo4QV4lEDkq2fCR0q23zbzQGLwkg08rAUS4xI1QGO+3xgjQHwMD8mEkkpN3NqXiSwmGWbs+Mp++cFE73iBQoE92OaqwclUS3STMZYQVTBAthDjrKQKJodkJT9HVd4A9Cahl2/kf/FgzQICN6DeAizHNr+k7Q9jnOfos58swGGDD9adRP1JSGGhY2MA0SWsgc/9Lgm8/ay3lDsQ/XXLt2OfA2hIuTqOztEwCY6UODBqAPRzjNhkxUqJOEn6EiMBddujDuu83+obgB5J68AHzFSgMcYrgGn7hwPDhg17WG6S8QB0YC4A/vJlP4AtuW+A4fjxHuYrgJwfNcYx4A/oTaq7/5C/BhxdTPwDPvGLJYl7MU+X5yXApevEutQRSkhtEF0CtFinriCZpVBkKy9Ytnw7FvrzwlvS+2c/9A2iY6EXFwAx4K2+6/5Qf14s9aMioJhiwPLDptS/mNLWwfCtL8khi6GRqT7ANx92ADg2Kta23zBsyZfXpkDqLRWPIU+yGngN2Cb7bZsY6+2n//I77zvM3doNdC4GK8Dov+wMALekv8f+49f/2UOS/Vd//2LlA5sxzfmhAyNbD8jvesCsrS/7LiuF+q3tK4Zpm20DyDl98qu/fxW4KAJx/O0LqIoNTuFB0VXL9O95/pDGHpbwm78x33WeFCoM8BZQ+eZvXOCkfbJdAWZ7lgJHMfz4JPe+vm47HQ8A3T2EL/qoA/zMdxmxV/uOZYDj2D7z+qPjrS/ZFGwFADE0BXTJVp8CHPe0AfEPQIrp23XN37l7ckB57R+P8JjEy85hvM3PvQA4Qj0Bw79tdV8EzE+ByNtf+4CEe/fqxkKS6n1uzFO8Ap8l4Ydt9uv/7Bq3uGeTSgYi2w/Avv5TBCHm6qv6AFhNkQczuu30Hlu779jpdN/ptxZxQsGDRYNiEED5XGsr/vquYx2bhK71ikXe/fYHbGusa3GNuee511MCKKY8t9yL68uei91z3adbz3nU9rYrbqmb1B+8ZIdR/daDCavoivqPuMHoVqjUsV8KDQfoNhYz/nQORynoFAYWD213QLXj6z5y7ideW2dk7A8gP/eQU0TY79f1f2wOgOvW2yo2nnf6BCjf/z37PA/JcWPQb9/zKTA77QQuApABwwoiAaPG0IFmxtEvgX1A7/63v8dG337hm22+PcA3kLuB9p6tZN17bR1S5HusrOC0Z2+/xzQEIgegkErfsuvGyPWNMfP0xSkaxU4nPwwoc5xAUkpP5h+NIRQNtO+WLUevUGB/Jsfdui8xhDu2APRn4PzDvNAdOxZ68wjt0PcbQNe/jovEvGKBXVBgjtX3igbqr2LKnAAr21ysz7HQx1P9MHSBjQB0gCRAvO/63Xv34T6Ti7c+L3sFJWNxsBSyFL9SBjFnIVW/5ztTgMkC5Kg87PlN+8KopzKiCENMddzmbLuwW4EFoNHnYmYrL5inOv9b3n1Lt4sR19IerwLX/Z/vuaKMHW97Pz5vBYSXgHS+6BtEpyr2OhTEmsPle/4s2469rViZmtaovxwlrovl/eXfGWJA/y8ei6e+A57HRO++rqhD3oFyAcWP4m8zzRXVicFNHGiRF2F3RDZ+kxg8E7RTEX/LZtBjn7c4XuA55vnkaH70xycHEuHBfWOzzl/yPncvaVHojzleTCl6cr/fxfw80Cdf88nHNcD7vGsBgN62XgLQu5fVji3f3ufGPY3Vtv952+B37v4J7BezxWuxcwPnd970zp3fMXDHwB0DH/8h7YPX3oB7ufvgjoE7Bv4sAOiSFReAfl6bqIwX5vmtz5YmRU24m+hgoEsIkDbDtDLpI8k3YM7PP+TMVU97j4lDOhwTTmId22Ak947n3iXjfhJgZPQkK7BLa++079O/dlV+d1ykPEsclxRuctrkWdIbqIPhh+GF2cgznhwwL9u+m8KBw7wEzKrSrq3k0D52ZBubIJJGkywapsoT4Of9TshI5mzmSH3C91xSiJw72cZnUJ2v3/Z5w+hoUvyBxNGRft8LuW1SuhYgeomPEiCvi7lAvv2vfPKt9zcrRd+NjGN+9kclgW83j1IS7sBCLAGAZwUXSdWSameLUByQZN7MXb6tgCtevsCEfpe4qx+x3AHjWHCbve27rkOsPgl11+X2SR6Q6rAKsb4xIbGpMUWHOUeC87Dq7HcA3gMGtv0BwAJij7Q/GV0gBZnfvgOk1/8KMTYgJrkJZMc+t05Ln8Ukn3RqC4Bz1w/g/FnOfbPSn8HzLeO+GekA9K7xDRBieG/muXMKYAaaYfoDiDtH2OFkyYHkANiSbrzrMdIpCmCIkqDGRN3e5lgwfgOsYqwDyQDaA+x95feu74Ddm7U85/HVQ2q9OATUjWz9kXofwP/dP5jj7De+1Pqj9rfdrh8+0ZjlFEPcr8nIA+2xbS8f59N27HrKCr12rSo4UDzCsoB8fKCwPuk9xjww3LPAMWNnd/1dygOHEXyB3u9++zoXQHuFFW2HvYj7Qv/pelDcQgmCjLZkbNcGUH3UCQLa3/7mJZ9fO6kUDCB32L7Abn71tYckvyIO97vuixi944GdL3zFOcfeRGzxmh/f51NoMIz3N7462/yAmsRR6+BxS2K8a5afaNf2gBen0AmYSPlDwRbbB0UjHYfiAQx0svz1KfC8e3bPfaoVHYuiwZ7tk0w/IHSfKRhse48BNw+AjqlcmxpPtS9y+4qXXPcY3BQnKAoAkyl7tHT+GxvV5hLU3YcwKFvP4vy5zooDzOe2PfejNY7BzFPoNfLt7/7BBUB0Lvd9qN/m2c4T/tzbawu1gPapmKkxQ22uHxuXGN9RR+CBHvDR545z7HtePWwEFIiJP5YxCi7ry0sN5o2vXpLqHTOQfAPRI4d+nlGAE/61o2BwGKjY6a0DFCcBjzWvcG4Aj8NI357xI917rimFUlM8dJiKIzl9QPf2OeosR41hLCWOBLbiCe3XBxjnrdO22AcAP407ixeg6AaCgaVAVupImMmY3nzNn5nMW8IdyEzCGkBovd7bD0lrrPRiubF771uncXCgS/sEnjdWJtPbmLnfAlE8k20PiN4C8DQW2GPg7XttDAgIchyKA4Dmw8L+qV+5igwAmtuv2ve70EAfADdf8qA2F8BAB6J/GAt9s0brE+BRy96nc4lV3/eKC/qtMVHHbv5UrGDetw77rPqx9bcVlaJmvuO8x/nPU7ICpgMgSbdPcUkx/rmvXsD8Zq6P5/iZUwIz2TFMoWn3njMuVGip4EURr2eD67nPrqOtQKWQxFwTCNj+ge3bBmFL/ruW+n0rofVbsSwunxUeWrZlEDB8y7SLkc7vtgjYi7gy532WfXe9sQ543vb2YX/2T9/Lv/Uf/MXvBKLnJ/2nzUL/Q9LtB3TGPAcgfy8WunGsfEb34Rb2LT2n+r57OZU8Re/iurjsdwpm3XsB132+nvO/+NvX/VshvjYouGSbsn9TRLcl3bW741KA5bOiAcUAiA7lZroXFH8twHIA+raBeJZu3+xzALp7S9tS1LTtLihRuC5IvLunkJJ/CUB3b+s9FjySBhb6AOj/4LcvAB0DHavdPVB7Y5//xb/63/1eAPrrzrvdy90HdwzcMXDHwB0DH3+NfXAH4B2AdwzcMXDHwPcZA016nwH0Jo8tPpNQ9xsJ915LdJQoaLLTRId815VwOTKZ5DcHGDmgOalibCLy7a1vQon5w/8ZG0hyZhKcJ+FxeXEfKT1sidojySCZUJKtxAXAwYS6tgFvsIeB/qTogS98OK2HWYqlbzLba+2cSvCf+c0reUfar/btxFsT1Z0Aq09LIrU+gA/7HINBMm9L12MYAdCB6PZdn/Wehyf22iWLfdYpwSXZBUTvPbnszWrnSbvBzs0gLllVX/BDf10gesmXWBPk2wHmijBI8dY3kid86J79G4GYxQWwoURIwLlYYQNQrACnsS7rH/J8EvE8eutHbGXA0fhTnn4fIOjI3vaZNQEA2XUxxQwxbZL4PQk/rPpJHC4vVYUOvCk79x2f9iomGMnctx7MOgAP0B/Tou1gFA6Q8tb7s53x6j2gBLAlsMf/t6zvVkzomLAA2y6v3+fiDf0DTN/AOfb5BtCfl2cWOiB9g+jPHuglnki4z/k4QG99A6zin4zRXB8PYHlAR/e9YfqedbCzyaHzu25bgPHuMWSli722F8iFJfrsXd+5IvEOzOGNvGX2Mdqx0Pl/16buc8B17GQs444D4Gu7G4wG4pKHpsIQgN4yTPjja66YoH22fTYD2+qA1DkWed/7vc/9bwqaDkjoOgXKd/+uPwHf7v/1Q9exAgas6r7bPuL82gHsgPR9j9AHGOKOq+8kSgGpgHlS592D3HPqz/oAMCkmFC+Iua4DPuuKNxR1aIN7FxWB+nXLwE/hwSkSUtggTlsH4A8c7//AP6oFFBjGk/psY8DWA7ADfdtG1yxwvfcXm/kU/vCgHrUJRVpvfPVSAjE+qL+wkFlRDIB5bAgw8vvctrs3Y5uVNFccZ7yDMQ1A91x3Xwc6j7z2zz7Yvu7LWNC1RxxQAcGIpoID/NwS/52DUb1555/O/0pMN/6qz1jLlEDunkSGGJArLihasD0gxS4mXBuY552r1lVU0/qO17VZ+9hDUBSqT0cF4Jwv3uJzPz+S7km4134s/yn++fn3Z/sjUX7GCuJsxnjHLmHHrYKEkTlfbO5RUTiy6sCyKQA740zPrim6OOCbZ8q2cVHsxRu5Y+o9wBzo3ngIEIfVWgzWNvtSFEaNaAqnzrUyrPpTFNB7svDjs3t8crVlYuez7313zHXGcgBzfszGbix3jDNbB/hLqYjsrjE71jFGoYJYIPGWW99A+GaL97rZy8DwDfJtT/DNyN4Llm2ACLbiZqADnxsr93ufew4D0LfnOBltwPkA5BWJfvrXLjY1wBTIrO92v2zw3HptH9gPmNzy9LuIQMGAfgJgtnwvAP0ZPPcegN7Yo2MHdGGHbv/5XfTacSsgMOZVRGBuAjAHhG02PgBx1LTOPAvIjGU+FgEHcFeIW0xSTsH2VoDj3q9AlL868Nv9oXU8M91fXN/zTDkFWcbx3rtWqDP0HdsphdnDKD7gnxjpd9dM6+35lHmRQgOFI/qRusP2Rd/KCMX0BsJJrfNCL9Y/TGa97/sfMHPLwG8w3ev+3n+3O7HAGgAAIABJREFUpHv/fWaou8YUq+zvsXqTxf7TlnL/XtLtns8bMMfUNi8vVhTJA5uLTZ7nwHPEgRbqCNQWvBfjxZTiLs8ac3/PR8pS28/8soI7wHvPjMuX/Ui1j63clx+qNJ4ZchOOyzFfCiRHOr22dn90D+0eoeDmmX3eArR+9j7fDPQt5b5VLXYRCaC8z/vV9xVF8ScHoD/bUgDPe42k0XcpQfA//7lf/PXZRgC69rQ0DyteA84tAegVe9zs8ztneufN7xi4Y+COgY//EPfBa2/Avdx9cMfAHQMf1RgIvHwG0Em5lyj2HhN8A+g+N1EyAasCmExdSZmSNCaOEoSkZjGI9u8qtIch++q9yytcAhpTQVITQChRIUGx5cRaJCgkrHbSoO00qd0T614BHiRwTYpHkvoXHj6iJuz8z1WQY/APs/2dhwwvD3HsOclLspSkK4Hnfa4fh8n/5q9cydDaLKGHxdD7zbZpuxI8m2kkMcYTvcRP2wVMTPI1di9Wx5FB9F4CrGSDbW8QHbPjYgmSQzxyuZhb/81//9vf4Yf+OkB07PPa8J/9t2/93xtAb6lf+J4C0MWvGCAHSHEgkG5k1I/M8YB0v/r7l4+5RInkPaahRCFQGCMTAI5JXZ8G+I4M7gGEey8J2m99LzGH/bK/J+kvieoa5Q/Zb5fH7AEVMF1Jtg/j4iu/dxWDAHRrX8fR9YI5ikFvIXOsMKN+IdVOnhijbjOCMMlJuE+xxmceErbiUn/xNxeX5NuB5z4D0AN0Pgw83/7nG0wn2f7sgV7yqddp+5Gm3uxkEug8hQHZJJABlViil3T5kSkHHgHOAe8ULxRy+A14OFLyB8jlk17CboDfd/7pxC1GOnl1nuLb93yknH/19yeOu8dRXQDWYX2P9ORhpJP7bju2BbAFyLuWAt9qi994Z29Pdgz+fh+f8lffeki6pxByrrvx1j7y69uf/JISf/fbF9saY7z/jQT12RaZd9YFCmFqU21VEKZ4hE0C/0m2Bh2Pwhks477nNQ1c5seuXb7D3gd81za+8+1DQQRmdf8dMPKA0855AHCfbce9rWNqfeDcJdUfmzrllQOwi42OZUtPY7uLD8U/+qzPFFjES33SPnrd7GUM5GEFHhC2/Xaf6LrFPqTCMUVceZ0Xq13/n308I/sfxQ0MbAUjgGnWGK1XvJJwB5YX3//4n/yTGf903MWBYoTGQ10D1BV4qLpvke/dz8IB8Y8PfdvD6m97kt5Aovqqz61TnFALaVuds3/+ne9c0vGNxSqw615U33Y8FCC2VUTnjZKDwgznDQsemO96J/1OFrb1NihP7cI5Yi2hWGpk9j/zAHxrBwC9Y6i/gWwAAYxRNgjGiWwm3Otm3HJ+4zU+z5XPf/16vnoeacsAaVmeHHb5PJsOc5VvOjB9JJ7feigKAOCAbp7XxjXGTlMw1vPq2JL474xdT39hnbNnuca153wrZDMO1lbKRVOccmLE8xoTFlg4oO+RnS52AaTDpD3s6nk2HnlpXtZbphsggjXt/WaKb1l2frYY6ABbvuDYj5t97jdAMhDaPnrW7vEsKXhAoe00Vg586bPn8McO+9uYH4DZcfbq+rwKCj71YFRvC6jtYw04VpS7CwPE8C4CsH/zjn2Mux/3ut5voHQD6M+vzwx04Ff/AW45V4D+sTo4c6ZdFGuMT+r/8vUOAD/S/4FWfOE3qI6pP+zzs27bNXYzdxnbrM+/e80zFLdQb9pzhXkunPETRrmxgc8UlowXMdd7z6t6+6f3m/Zgwmuv77an+4DmjR8rUjny7wo/FQTsAgOAIKCQpDt2OgCzdRtnUnHounGtuD6Kg+J/YvhHvgtYi5HNClckAkTfzPMNim8AfYPvvt+//SGm+QHQe93xGQN9S2NXlPynAaJ/L+l2APpmoAPQSbdbP1C652cx0jlvnZ5LjQHkPVqA5+JYgUjn1byq81w89pwqBt27qeopWFbk5ZkOUNdOz70tL38d12Gie1YjJmzwfJRifvG3rzhWDCI+i7fNPsc4f35t6V7yLOEuztxj3F8U+1MhdC21b4vftWV7obc9YPmzLUXvAfmtQxkx9jn/c9LtPND5n2/w/AbQX3/O8V7uPrhj4I6BOwY+8dr74LU34F7uPrhj4I6Bj2IMkLF+BtA3iE4CbKQl/86XJlFLJi0gvf+ULFDR3CSIV+Ek9U4ysUXFNLn2JoOzr/N5S5xh4ACd+1wbbKt1MFkxoVs201zSCLC8E35933pNEFuv5AjvsgFNjqS75A7WkMlwSeOS5yWVeZWZFGOTqRY3SS4J2jFg/ZZcIUkpebj9C3cCTt/XR01MJTSx0AHp5BhNanciECN9syewUDCvJLEuecMjY6pAoX2TlK9N2DzbYx1oeXmKH0YZadJe6+tiDogemF3ypXiMHf4n6VFG+q/9Jt++JdsdB187yZPtVctzGisYGDqM1wCiAxySZ+eVjo0geQhg2ExKHrGKE3h0lgQHjJPyH0bTAYZbr6Sc+AYGP7NPJKQlciXeO/a+V/TgnO3ihwHoYrUdNkW/BcB03COfW4Lys48CkdYfhvhb70+/bZBjGPQB74dtvyU3gevsGcRiv5MuxkS/bAcWo2wXFjiX2xe977f/+b8I+xyAvpnn+z0AHXgeE6z9FhMSxBiwfIR5zfcZK1dBxYAtX/zdi5EMUK2f+70k4ADPB0xuvcDfYpFU/GZtb19uwDYvZODXBrcB+mTRsbSx0RUEkekGimrjSMYX4wcoBxzbPnCuz/ZVP3Q/nd+XLDnwFxAe8I3t3vH2TOnYbZ+veX3D75yPOzZ6y8W4Psx13uak8RU51NcdHwAaA5f1B5BzKwloK9/tLX9PPnrkmM9+sbqx491H2lf7webXl1isrQeAneKHoz7h3NeGue5On7fexN4ByUfx5bCPyeArhgHQK4ABkALWyatj0g5D8EjOi+8p2njnn16FBxRnnFuxwidaYRLGcdvs+h7J6k//2twDAKwTN4fdDEzfPuljkXHsNC7m7qtvXSoamx2tKIWEe68907v3l0jH9C5h27EZr7ChaR+eFd0D2xbmqucndiQA9SqgOd/zWSf5qiiFEkSv7bc+6Pnb2KtjpnbTszhA45l5viXc6/Piae5Dx3Kh89rvHdew2U58sxTYDD7FM2KQtYRCoLl3vfX+bMP9GgimOKrz2T0W829kmX/mIb2s0MgYi7WOYgMFGkDzC5w+qikKLsar/ADnrgeA937u1J5+Z1XS86N1FHlteXbnceLljD97v4sOR269Z/rnvnqNBZ8LRjHKxS1rhs5j7SZhPdfVkQMWs6SmFQgA9nrfeGWrzgD8PQM9HzFmG1NjiSvktBg/Kj7d4+iPHTAOgP7sYw54t+3GLo01Aky2XPj+HzD5WdrcGB5wjt0NSGzcHEjScxeQaPxcO/f4mSJTxwooBY6zf6rfgP1bipjksDYA0DfAvvugfQMoAZJ7bO44Nti+JbU3cBlY9Czh/hIDfcsvYwk7/hbzI2P9jr8YoaylKHYAwsUgb13S6aSgAc7mJC3AMnE3RQWf/q40u4VSCFssYx2FPsX69Uw5CiZj83GsgeY53jV9FLPMEWtL77sHV9TdtbR91bV9s4eB5L7DPB8/9QO2mxfs4lp9uJm2Hf+ea+2Yw0zn/9znxp+KMXiiA8LZGADQi4/GmmJ+qzO0KEzZILix6/ZON2/YY9y+30XlW9VBHPv8AeD8P/5r8//A8z7zQ4/d+6fhhx54/sw+twCcAdKKnJ+XnudTNP/l35kYL2a2bLs8SDFlPDD2ZUfSvxgxr1ZoMvY6p5ije/7Mc0+BlTkg8Nt4yHOutmCdX/7mx0Zvg+cK/R0XyXbPahYJG7gurtkHlKvZYPlmovt+M883gE7CfStcFH+bga7AZltAPIPnu9ik19r1YQA6T3Ty7pE0Ok+NgWKf8z/HPGf1Ufy2zQ2ep5RQjL7u3Nu93H1wx8AdA3cM3DHw8dfYB3cA3gF4x8AdA3cMfJ8xsAF0jLQSECUXJCMknEhvSeBiPvW5iUqTnCYtkm8j7/fpBxBJ6lx19fZUb1I5yZsvHQb6SWqUwGj/TR6bdGIUDLj+s48EymadYtlK3G0pSe83S1uiItCr3yRUTWAlyTGIJHOmGv3IMZNFViFeH5Zk3qwyhQHjF50069tfu9q5fRHruyaqkhcSHxKQTYJVwde32/f8GUjf3uiTyP/bb1/MW8tIux+wG1CKbUXGHejZe8yUzTIh0y+JbMEGHED0MKawv4DKmOgvAekB3BtM/+MG0NtHjAny7ZeP+0k0FoN85kj/kTV2fjFQWwDBgGbyxB0z1lh9CfzdTOktKw4o30D4S4mxZ2lGv3mPMc1H0X+AxOLEdeP97oPLW/iACsXw5SlJ8v0UAWDeAdv5kgM5MPpIrLdNzPPNtq/fL1/Jo4SwwXMM8gHsKvg4LPX+0zFg19tPbe1zffzc366RDaT3/iX59hZ+kc8M9C3n3vcB6OSzp50HRAIoX5LfB6TdjNCR6z0gtvjqPhOgRdoeix2Ld8DXdx4S6Ip1gLbArUvi+wC5mMdkygHk2/8cMxu422fyz8DmAdGPvDGAHAPZd223PnDs/J0BwCNNfVjk2MFA5MDvkV8+gP7Io59jte2Oof+Qi3fM5NFJ3/NFB1S3vwGGz7pY4q3nfwoQJCwB8knFUwhQRBNbv76MKTcA7gHTseUlTRVi1dYKcdiXdJ0AvwcgPOon7jGY9z1PAZ9Y6kBNDPcpIjiMV8Uw4k0M1Z76WcGPcwy4Bd62n45RnADlyf9j248ndz6hp5CjbVMPaL/zfD/v3SNdB13HYwHRawDhUavgTbuBza5d95oplDmqJ2R/t+d433WctbfzosBproklqd65J9va0vhmpHo/9StzXIHbJW0xxYoBnqg980vkNlZR5Ne9BphUm/86MPY8DygVAGAx3rGItXNbYygu8Vyuj9jP9Hzv/sPWgkUAYHsK+M79wHVKIYDagXjv2KhUdNy1C+DP7kFBjsJAhRmue4AY659RKjj2LiTc6+fGM63jnLUNakRk3HuvP4y/gH58Ztsvix9y7exFANu1C/C+fdP7jZqKwqzWU1DKx52qSutjhCs47JyLUeoO/Veh0TDSu87O+R8lnpi/BxRXOKKgtGNXaIchTBHm6qsDlNe3LHU8O3k4G6/1fWN3n43dAH9bjlyhKZb19kTfku4tARbeG2crYjXOBjbuIr7tF75Z7c8y033fPvitY2UbHzdeDvTpc+v17PW7bc3z3utf+7mLid0cBTu4fphCwiPzDtx8BkgpO+25Rt/Vvl1kYP9bhn77Xeszx/EMXFo2gL5B8/3dBtBbfwPo5gIUh6Z49oDBxTyrLvO4xvX7PjaKGefexe95+5J75WmuIMb8jCIRtnnPhK4jz0Fj5K4naiyASKokrgl2XsB+4Hjt3wXG2Obi3Pebia542P229tYvLBr2PEZ/iRVFFluyvddd6GpcjXluffO2fus/VBs2E1x8FP+BlsUBOXexsoF019L2QncNub5s39j/eb6wwfTtg97YdsvF1wZg+jOoTsq9OdyfJAu9+duHSbdbPgxA73nW4n2vxUQxj3mOGABUx04vbhQlFdeKcKh39CqWtmKZgivjvHmGHal2CxsUYPol335UbwDs5qIK3hzD5Yv+5d+5PNqRHwDY1A42w/wZSAemP/ueb1uIDaCTTC/+2n7XQmA44Fz/bN9z10NA91wTLwDoW8Ld++Tbu98FmDtXW749EJ0ne989e5/zPy8+75zpnTO9Y+COgTsG7hj4+A9xH7z2BtzL3Qd3DNwx8FEH0JuMTlLyS9+4EiolKiQryZVJmDTJ5JXeJKZJiyrhJkgYziPtl3Tf8T43yePRxWO9fZLM7j0ZVP7nw4A6yRtSmgA/iSFy1fwM+w6YT16xhAFWDABdkmJ8AE8C1z7JoU1xwVd+75JdJQdHOndPgk3WTXY7Xsc2rNSTiAGAN8mTDASgY9TwYSyxZTKKle+YLZJlEjgYypjG2LiARgwmSaISXBLMkzw7MtsXI3lJF/J/25LwgEtMsy3jPgDHYdfVVyXMgOjtLyC7BZC+wXTJmD+OhAzVBfLtAPRhah1gAlvg8ns9oDgQovek2Oc4Xj0YZQBOycLAHeAwoLbvdoxuJvSz3/YziBtAgvmxvbh9t5nSfpfkss3tfdgyibn/4sFGl/QD5HfOnFcMou1DSY5/AL3DzgOgiCksDDEEoCCxW39g/mMuYQl2PniYA9qfQX7ggM+bab7Z5i8VKgDMd4LdeQCo76IFffkScA48vwD0v/nFCwS+2LhHEhvAFQCJBQ5YBmxhZgPb+UsDVDHByYwDLCWm7bttYCgPM/wAxgCwADT+51Q1aitwVNtm30cuHosm9nS/dy1gmWL89h5A3j1wzvmrb81/AOjA7IBsoHX/JdUKrG4JNB+g/N1vXxLrwyg/oDD2N9C/ffR/AK3j7zPLhbaBgY+RT8aej7n/KpgCWPNIr48UhvE5ru09OwDOCg96zgWY+98cywEGB2RYhRN8XKkWYIj3DGlfgfVk/yVY+30KFd5+FHEB3QF27XsYh2cfgFDnmey3woBhQp9YBKySyVYooUiiY2TJAngHzmN4KyLp+DHY2/ewC9/46gXAXz63MQ6PfDUwZgq11r11K2RskNP9adjNpwhg+qdCigPaFGcKRuq/mOd//3f/r0nMtowlzE89PNT7nmc3728AaW0am48D6PIZ3vYbrTOM77d+a45TjHZMtXkKRY6FA9sM/uPt1zmZGPvMQwUIO7nfGxd1P9LH1BxIt7vGscjrB9eXQrH2sRVVFJW0HvUVigz8yRXStO2KShQtuLYVohlbdt42gN7YrGfhANKHPW+8iJ3dWKTzOcUqv/jbj2K2wwr02xQOvPkbl51B/yt+FG9qFyl33teA6gvwO89ujHLPLM/11u15VHs9D0lG811nRaSoYBRoAgsPS34XCQD2i0Xs+eKItDagHOivoM14bTPO+VGzNRm/51OMWj83bgce8/0GFgPJNxPWb/zNgXB8tY2pMc8xnRWztQ1jq9pmuxsk3MA8RvZmcbcuRnjreQZbt/Fyz1yywgB0vw/odwpLjYu3ZL3xq320DjAcIM63VxupaxlzA1EBRcBrbaAWtRn2m32+meq7ePYlAP2lZQPo1Kuw3vdxK6jAtgYctjSvA7gB/4xdFI10bosz80JqYGOrcRTL+m/XzbbtUTCryOq6Jt4+FiKHoaugupgFXlJLUDjcYg7a+16BnH2veMmYEuhJyp3qiAJLhb7Go67nzTzfDGOxUF+KGcXICqLd//3eOdjqX6P0dJjn2N/FqJjYNgbNTa843kXVi/27gXevxSMgfV93imi3QsIG0TdYviXdN1huDLy/9xsp9/zQ/yRY6M3fKq7e0u1bvn2zs7G1n4FzYDSwHPMcIKuohCJD8ek54rpRtEHNTbFG94DWm2LG84x4tqrDPOd7ThnKc7i2yyPUZiz1LUXv85f+5//jAuOpBypupxIx1gqHlb3Z5y8B6L4vjwM4H9/zH/3xDwDmpNx3QRBLgnJBLZQIn9noL8m4t37bewbQsdFrW23qXphku3PXez7qtattbDn3XgHoqc3dAPrrzzney90HdwzcMXDHwCdeex+89gbcy90HdwzcMfBRjQFeYgHosYFJhzXxa1JIwhqjRaV/32OhN0Fr8lTyqkmOBANPRZPIJqOkKgHhLSa0TTz9Brw1WSUjT1q7hAaWF3b0ThYB0Ld/oQShV1KSfBRLAPQbmeqRnedj/oWHDKwEtQpxrEKJJsnTjvOSRH33Dy65+kn4HnYDVs5OBpKj/NhhsEh4mhR3nKQISw5tf/PNOseGkESTxNn+l9v3+/I5P8CDpBbW8ZUgOCx0Sbgmx5JDWDn9jm0G5ACYSCyUyAK2tfCz30D695J3/5dNwCTj1oS6fV3ep4dtr01YuyW4t/Rv7Z5zfuTKHSdgF0saY3qznQG09VPnGUN8A+LPUuEA2pdA2/2dbfgesG4dwLCY30x0sSL5h6G0CwvI4iqSmN+XagFGue/YNwC9JrF/iikwEXudmDyS/6wE7APIPkUZp2/rx2IOONB7/Uzi/SXwHCjut120AETfAPpm5uzEob7d54F0u6W2jvT5AUjIVWNKk8XG4ibjrVCjewt/a2CnwpNhYh4Pb+xoLORiEzjf9kfd47C2B9B59SjysU9A8CTEj0Sytva+ZYDgt96/WNKAfj7s2jfqGgeYb5E4H5nrA0RjHQOV+671Om+1fZL2hy1Orj02de3oOMfzvMT8q2/N97V7igV+4dHW7rXsFbD3O3bMdIAkMBDDvN/b5gbVSb8DHRUstP74sR9wuGPtMzAcoE4Sve12HqgMkMPGViev7hzXJwDkttG+u656PxL8B6DgQ+64KAxgJ/GnBurrA0UAAFCS9YouehaLLUoGbAaoH/AOVzSAiU/SX1sv2e13/tGsO+05QKl7LFBQEZLPbVfhFTAaM1n/kG2nSNG++4+ihGHvHgsBcubAVQVP/dZYJgCdN7cEOkWeErbFTeeu/sNqA84a27S/eb5+6lcuxRHAzMW6PB7n9UXb9yxhlQAQFkssYigz9PzPm73+7LvA/cZc3atG4ntJILsfiD1+9m3nspo5TLdipt/F9mVpsCTnAWsUdkiUdyyx6OtT94vW7Vz03fjBHgWS7vsDBBywrL67JNgDvY7aiQIIxSl9PwVEedVWsHDGaP2PEsEoCDVePTFmHLNZ3O1jntkx0j/3YI97vgF8nT8sce8VB2rLxUo8SkvAFscLnFN4iW0+Kg7J3Z/2GT+SpN/qSopLjFEUMs410rOyQsgDUve6rXWmfaf4UjEcMPBZVtw4GQBnbLmBOQDfBsIDSrY10mazA8gDM57Z60BmAMyWHAfK9exVOLo9mLXDczegBIDO/giLVzuA3saq2OV+V0gArAeeOy7vgWbG5rsAoXUau5M11nfY644XyL49p58ZvW3nwyTct3w7/3PAV8dv3ALYGiWApJXPOJ4UdXO57m9dg10HgO65L6/X4u+y9jjX9jDGzxi+GN52M/u5gFlubqQQynyvBZBPfl27zDXN/2bO+OaD6a5wBZBv/P5c5OkeDLw3NzFu94xpTKhNGOqKTxRX8DvXp5fi0Zn7iKct2d7v3Z8Ub+zikR0jXo3PO/8tz/7n4ss1YOyKBbyBed9v9Ye9n81CnyLSsz/zz71/3z+D6cbDfU7S/U9Kyl3xs3wFAL1nFxCd5Pn2BN9sc57i5S3EWr/1zO9/ijTEWnHXPZo0u+fVgL/HtmAK7TrfP/V4ZlDPmzn6zz5IAz2/X2Kbb7uSzTrf6mf7s3Vqq2K/3nvmmJdvCfeul2Kie+Szx/lLADrZ9hjfQHQAOvZ595hA7/qB5zjmOSb6viduGwNqDAB0zPj28SzhvgH0FgA6laANoG/QvM+153q/APTi8nXn3e7l7oM7Bu4YuGPgjoGPv8Y+uAPwDsA7Bu4YuGPg+4yBJrhNSAMrA9AlNEYC70wQm2g26dwALnl3IHoTosuj6sc+dQHcEnYSJiN/ftgEEqVN/Oz3udp7vMZ+9v0HC/uA+tg+JrSAeImtEh+bdb09n58THuTsJCVKApQEkZAZ1viRle9zCZmSzzyMAeV9TwIZAG1yj11WsklxQO3aiY36DIi/2efA8Ukirir3/q+gwHqOB8Pe8W5g3XeSaWQMMcFLJl3+5ycBjJG1/cHH6zVp/8NIl8RVHDDM88NuL0mFBYntVX+Qz5WAUwzR8mFAOmn37wdE7z/k29uefUhMaxvp1459WJaHsXIBN+fzM1gLpN3S4Bs434AsYHsD5xsUf+l97KKXfLh3EguLZDOmgcRbJnLLTJKdlFh2zXYeFFfs+OiYJX2wPYFfmz3u+rkAsdN/9al+U8ghXsgmYwg9s88VgvCplMCujyVFn5nmzg32/8U6PyD6s//5fu9c7eKE5/OywfMSUb12nQVkkfX3KskMmNysclLLrB5IFmN7dh+6vLOPZzoPZX7nvI3HI/0AcOTDSyYOaHdYLu3PtgB5mO4tJKC3zLX9AiUD23hoA5yBuBLpW0p+kpGHHQ7Ejbk6RQWxv77wDy8J+mE1H9C3Ng/b9zDNAcIjwXmAc4A/MBsortgAAz3gvQXDtnbF6OaHzqe+bQVw8z/vPLU+v3kFEVjlCgjm/QEugfLOS/3unNbH7RdIga3f+sU+CXSAvvYP4H3aQhqa9LrnkuKB2tl2xBqfWUA5KXXxBkAZ//Av/u4FXioywCzmqU2BY4DVX3i0VXGIAg2gu3PZ+wv8PzLB7h9ADuolXfvdDzCz+T+T7aZmwRaCZULxM89wQFAywXy6jzd4/6WIUl/wQJeUbmls0zkj4c6HtO8k6rsPYZkN2+uNh82NMUjH1PF0vJjU2/al/VO3admqFTzna3/7bDuNn2pn91dMuu6D3YewoCkRsF8Q58BzhQ29Kja5bCWO6oN7Q8c1qhfv/sFVFOKeALAi5T7FCec81CcTX6eYiqpC9+H6sXbXXwCK1hkg/KiRAOkV3k2ByqtvXDK1/MmNp+pbPrP1+Ywp3v7mnGfjC2M5SikDiHzpG9e4o+cf6XTjzP7fezL0M144bHTPPrLTtYmH/YDox/LAPR3LvWNpmx0bULJtPctfA/vYmNTH2oUhe8m1nwI04/ZRfzrgufHjJeN9CkqBrIENjeGB3Hy+WxoXNz4GSgPvsLE30xpzHXAHnN+A+2Zg7+82S9bztrEMUKY2GAeN7PWP/NfzGZhDAab/9hk7sjGD4oGe++xpFHtSA6LYpLhWcajP1gHoG4tgqis20FeOe/eNz+TpLQDIjmWDlh3P92Kgb6njffxUhpz7C9Q9stP8ymdO9pXfm/hTEOV5cY1PWF68/c3LIsJ99VKR+ZnHtc42hFJT14IiZApkWOtsDgDo3ddYOgAyzRfdIyh+7LmJa2rbIxhC1YOXAAAgAElEQVSX9l33lNrNRsk9a9RLdjHwuXbcw11Dzu1eqJ2Z4xqbAg6BhOZGxpxiZS9A9QBESg4bQFf8ugF11+S2PFDM8gygm+Nu24RnEB2QvpUgXIcbLN8M9T2P2bLvpNwD0f+4pNzN3V5in1/g+QGWgeUbPG8BnreOnIbnfTFI1QCLW9F63ykmNgcf1vnx+jYfV4BlzmRssVnnPYepNmGgP4Pniu03gI6V3nO2bTiurg22A/2nmKMkwZIBUA2g3gC6z5YNoD/Lt2Ofk2/fbHMgumITMu3ulb0C3F/yQvf/9gs038sG1lMJ6Jx95e9/+f/9W2/+3evYAsqB6c/vAegKO+6c6Z0zvWPgjoE7Bu4Y+PgPcR+89gbcy90HdwzcMfBRjYEtiZYXNRm9EsfYVE0gJZInWfjGl66Ex/ZCbxLUBKfJVRNKYG0TSiBtyRPJEUC5xKh9k3MfWcozYR0P9TNZrF0Yy0BybFRsYpJ6AN7NxB5p+Z96sOax0LFMShyQ6ePXPcyxt792VaVfksxf/N0rIYSZKXHUexP6jktiXDHAAJenwr+ERZNTALpEhsmoSTqwEOh4MUmOr54EICn3zTiX7CEfT3auvpqk7eceiWF+1gESvIwliSWqAe9X0mklZnsvscsXfbMIyZECDSWQSaQC8Em/XyD3J996H5Bewcf3A6K/JN+uD4Dom2HtdcvcY9BhlLT8Uf7ZO9H0DHpvIPwlcPz595dY5ZJZW579WZ5xs+C3zGTHgTFJ4p+0JUl+MroYFoDx56KLkWo/fWU9bCCMOrKz7UuyyXsg2DD4TzvIY0qAk9PcSW7xvWXZN1j+DKTvoobrulnyllspYLNsns/bXko+eQ1A7xy4FwCkd+KZlDqwjLx79w3XAwWLgKwBvANwPvPeBYhjkLY+mWWsX4D6Zp2TKSfFjmXqs2SfdS6v88XEJvuNjV27+Lb7D5DukhQ/TGYS88C67o/Dlj2y65OwPyA2NjcWbetiupPhJn3Nx5kHPOCvfQZQY2gDDQPUO66Ae1LnWOa2Eyje+9pM0n0Yre/8o5HNxD4nk30BkEeKvXYNo/R4XW85eUzeLZ0+LN0vPNbt2uqcBt6T3Q40B/w63v4PJORR3jZ6bb1hHB8wtLaQS+dD23YqBmhfmPeAEooCijIUUtTvbbeCAl7gYlhRBICVlPu0/9WD8Yxxj3nVeeUzLoawwy9W8nn+sILwnNjs7r73fjy4D9jS86s+mqK3I1sOIAK4sGz559/5zuWBjpXp+Y3RpmCu/zTuGd/yI8k998RTeIjhOwVqp4DGMxRbHzjdNqa/D5sTg7zYbZ/1k4KQjqe+6z/8tYvHxivdl/SP64gtQNtWiNGxsyQQN8MSPUoE1CmspyhkPNuT6z9gePsHmmPYK+rRZwOMN2749IONV/t7fjbOCwDAmAbibWl0Cgldi4otSOFeRW6f//o1jtGuFmPN4upSP/n0AwS/nvWf/rXrnBQj8yw8zzvAnN+B2mTd+9y5poDw/7F3Pz/YbWd53/+DSpU6aCcZdJZ5B5Y66aieWFWlCqQoKiIlBNVSo7okqCQBGZFTdByODPKxXmKwCwdjDjaxbFmuZCCNQAKC+GEjIXVE1dD+BWSeVN/7WZ/t+33yHmMapNd292Dr+bF/rb322muvdV/3dV3f+8ZnL6WiylWZqOz0H0BdcohjdI8mqSOv859+sF8pu1Q+yWOYspQWOqfxCBaksd7zmEyCpaTWDQAC/YwzgYWNEQHAALctCW1dx+bx7VzAcMpEmIjAvkum/TBnbb9Bde9dAH+ATP/1jjVmBjADcwDILfxvJQtKZmFbZNxjrGH99knHNN7jJYmp5g7qSuKhsTzQ3HWrr8r+XA+upXVAdIzjbwZA3/7nQMzqjY877+2+X6o9Zyzm+TUu0e+yaqndshsY26JPPMYs3g8SAesvxi4jVYbjAT0JxGc+B+gEYI6VSLZYByykZAFsrFzen9578/0klcxzvvr9bRPV+SXXzPzjh376pSRobHaS7JOwc1jtVAmoOFw2W2ceqw11/3fb8vwArPu/47EIACpSN/DcAdFZEDyP3yV1+77Z6UBuY1fPSe3JnISVwgbaL7b5ef77DkB/TvLYibgbKN/H2gx1LHRS7n9VLHRzt/fyPn+WbN8S6C0bbGcbB2jX51qwzCWoU6MRe6it1IYAxJKNzI2976itSfwAflNoepZk71N5/c9KzpijY1jXs7NV+QDm/Vc8BvMcOB2jPIB6g+evAtK/kf/59j4HnPdd4obYyf58tsLY6zHYh4X+Cgb67uPqBytbMadf+41fHyA9AB37vGWz0fvMLx2AvpM6Xnfc7V7uOrjbwN0G7jZwt4H3v8Y6uBvg3QDvNnC3gbsN/HsC6CamMrObpJDJa9LY/002sVL55xVE5ofeJKgJT5Mc2fADah82Ks86Wd6WgicYXCTcAbomtJXDJJEXOsC8wBXmgEmuAKJgCIlzADRWhiDe9ncsONGkbhgoP/LpCYjKBMd8FZDnMUxOFJiAlScznPRuwZ2OWQCvIAsGCkYB9vnO3HYdTTYFKQUlJ1B7An3Y59jFO4lA0NT/GOPb6099uw7AxQaTBWeB51gasvBJH7Yf1hc2FUnF6uWZrVKQbDxBBb0OgH7JBH/kSwOmbzb6X4bdsBkML8m3n7JOQPG0081U6n/A7GaZC3QJPm2QfIPn3wgcf9X/m02+AXKfW3Z1B8HcawE/geDrfv/wL37dP/wA5HsBcNcuR3Z8BewtEg0GPDiJFo4HJMdcF9zcXpPOo+1J0NmAPY9cPub8XLdfq/tDhaFjkMt3nwDom12+GefqzL3smau+1eerEiG23+MzeL7l2wv4dG/0A8+gMmAYmAwQ7rv+A7hGJhV7BaB7sRwP8Nbx2jdAzHH5Zm9WqXNbvz3U26//+sR6B+C3T+Bj5wOqCwgW0MM8JzcNDHUMnuoA6s1m34Au7+aO1fdYzWTrAYABixjv+of+4+E8APaRJsfYbr3jzb4B5+8+AqhAbUx5Euvdl50ohYkHiAdiD/P0nX959VdkzMcf/K0vXkz93h+t73dlpRyA1cvLHINWsgTZ9Q1w84uXaNDxA8MB8xjCErkAx+0nCaJjYf9LFqA8QFIaa35UVj71uObu1YDnv/T7F4iKqd8x+3+rDLRPZdeG6ksAi+PH/dFfm+eXRPCzRDtQh7e7RB3JWpRCACnVycWGPqz2ytf1tfCbBkz2X/cDA73P2sUkhrz5+QvkHuWcI3+Ptd71V8/GJ5KMdlIQL2+S8V37jAeOrDFgqvtPglxd9oxJKOmZGe/246/ecboXlaPxSn0UZvUoCgSIn2eAekH3gqTsgAd5uf/qHz/6kXce7b7kCG2z76wauocAtAt0P0k4m5naNoDuykkloHKx7mjfj33lT68xXPeLjyu5fSoL1cG0gTceHsf1+QNGH6Dc2IW/fGVX55IuKBZ1bEkNWKreS7UFige9UyQPYp93TRL+utfGK3PcU/5h/x/Z9c7R/96XXVv/D7v39Gk9R6MikWLFxx/AX9t2/K18U72RBJ5kksD7owrU/8aJlZuEMDCdctBWl2lsDsgDYBtf7uTN1gFKgMEbQN8A+7MMeuNS721jXaBb2wIaAXZY28bg3r3+874FLgc0967FfOR/Dlzc0ukA7524ty1hgKLKKulA0i0FJ0l3YxuzLJbsqz4ATH6TfzfW2OzzDaA3tsBCfwbQt4T7e/mfSzrYoH33gVqUedUoQ53+lRLHWEg0TzvgN29xYGJzPIk7kp/6bBsgpN/UySRaU+6ofbOqkXjm3T7WJB959F3erfUDkqsmCfEkq1wKZGccKokJ+DnzyhdfuhKot2x980TJ2J4N41H3UvswVzKedO8BhruOW4y3a1eTuPBDD6C84+59tvKCeWdL7V3730kVvgOsL/n281/HmDnrOZ9xrOdXOZ/nCuYRMz4+Zart1o7MNQD6gPwNlu//AeyVKRAdYPlXAaBTytvs82ff82e58+17Xpwi1rJkDsxzcY5L7e4o2pHuF6/Y9geep9brWyReUAfxrpJ84lnZzHMsec/Slprf12T85XvbtA/gXHmv8h/2/Evg9Pf/yEvs8lfJuG//8w2gP7PQ9W2bgd7xkQ82A927RKKBpAMKDQHdbVu77fibgf4qAP3vfujvzX0DoAPIN2gOTPc/AJ3/+V+lrcC93HVwt4G7Ddxt4G4D7/82rIPXXoB7uevgbgN3G/h2bgMbQN+Sek0sx+/rzc9fAZQmcPwe2w4Dvc8mSwVxmpA18RYw2D6TTSx3UEbQtAkihregJEC3yStgtkmifQeAOwAbJtNMHg/oTr6QXxlGjCCIIBlQbgPognyA4crYtZugYkCROpwJ7mcegAXfv4I+A7AEYhzPTvKBlbFrEjw0Qd3BSGXeoD/pOAHJghuSBwREBH4A7TthgEw3n0/qAHvBLCY9CgTHphCEJX24wf7thy4Tf/urWwBfpHUx11oEvQS2254ML0b6XxZE3+zzJtIdA8ABwN0MfoFVwaUtwb4lvX1/ZoV/IwB9A7HPUusCURghgnYCuZIgrrZ9mGjupYQIgABQ6WLqnKC7e7Ov/2IvHknk2vGAIOQuz73c0rUSK66A/jmmNsQKYNpc93EF9iW5ANX5k29WPOB/t2v1QVbVMbcSwLPv+fNvAUZMc4kQ/b/vc/eCdP6rfM+f5dtbCvj0DLMDAHTrD7CeB8Q8EtgFinvWhoV9PJIB29hgBZUDIDsu8IrkOZlljGWAb8AxX2MsbF7HAGmg+14E7zCLScJ3LfzBA5h5KAPSAuYA8JeH8mEhY2ADVtsG+w24CnCtP6jsgXrYbsPY/9TjOAM8HXlwktTsMgKF26/rKlgK+HX9/QdcrKwY/aTPgdHdq8DW7hEAeORqP/Vg4mOcb3b83MdAuuSkk/D/8OfmWmIJjwfsYcd7trDVtyT29p11LvWILU/KH6h83ZOjZkASXN2Ty9eeRmL7KA0A8Ie5vaTeKa0MePzuH0y96qMlPAxbcIH6LdVjrOHLM/2AuJWv43RdPfO81VvXM8/qA2BOBWVY6/mMH5ai5K7Kof8aOe7eV7G33/jslYDA/32Y0x/9tTmWuu1719F2JNyB6C2VEVu6OmjM0baBQI2FMKLrg0ah44wVWKTol/SFfIE9G9UNtndA9QDcb33x0Y5PH9E21adntnoBSnW8/m/81fnqowBj+g72BsYpkle2nKw+w/Y9WxhyEmwu9Ym3H/7n3Qusdp73gC5MbdLt4+t92P69H6rTzl8dG/N17/tvFDOORD/bAMAZQJwaR9tOff/wL865LpWfwwwn+e+903m8k3i1AxONyySK9d/0Ted915gToxCw2P/sZ4ZteixINpse4M7yZBKKjhx15yRN33na/npvHpWFvlNakJxBwajraQww5f2hn7mUg3zHkn9OxMQ0B94ByrYVEMCXvDt/2+3fDBB/9vkGGGLbemdjwW6/Z9s/g8kttWflkuDWe3YS3Q7YPAD693xoyrcBdOdxfExI41NAuiRDTHRsY/LsxtR73FFbbdzLZkmCbos5RIDSlqsHmvs0x7A91jnwvOUvknDf8u0BX+0LQHfO5l/k+40JKf0Yg0swAYQDwM0DgdHmhs8A+V76zzYY5y3Xu+C8x9nA1DeZRwHwxz7kxQOk71hbtWz6izcf6mE7mbrvc57DwpW43Kekb4lXFM1YNsw75IDkUz9nnAk8d++3/DoW7VZwMP7W1qt73s/7efMZEIkdvsFoz9Uzs1ubaFwq4XrPFTyb5grbXsD8b7PpzYXNN1s6rkSPrdqmPJ1zJ8K0boP72i4WeiD6vy8L/TnJPwB9g+e9/zZ4XrsZkPUoyWiX2ncAdL9jaQPPNxhdn0mlToL4M0ANDN593gbZWdQAzEmwU1gYxvlJKgGOb9DcO38nBli6nkmI+fAnX4qZKDuQfwPo3dcNoL8XCx147rP9Nuu8PuYZQOd/3qdnQexH/+N5kWiifLYhw/4qCXf9XP1gjPPua/c8//MAdIA5z/MNoHfc//pv/4M/uwH01x9nvJe7Du42cLeBuw184FumDl57Ae7lroO7Ddxt4DsNQC/4UZCB3/lmIEyQ/83PX4GSJqMmqE2imuyQ9Xrfd//gTNJN8jDReZ0LRvO/a+IJNC8IePmNHVDVZNZkdwKFZ9KIjU1KjXTh9n8ktSbIAWTGUBfQItXY/gKCnQv74rqe2LlHxhdLCQsTIFTgCDMDGC2wKXjYZLUJpCAb2T+fym3iLiBDKrP7VB1g127AlXz19rzeIKaseQFmQGnXM9KHR77UPZBpb9/LY/MACFseHquZNzYmOqYguWpe6MNCIc2/5MCv4PZhomOj8zR7L0l3zPOAduB57PO/9T+/9f9shglW85bvBmhvf78NjG9p72/ELn9eNrMZWLt9t7f0uLpTzgvsPm2cLCVZV/6sWzZYfZOx3fvsgCo2ZO0AMKA9AOUF9q9kiNh8b3x27r22zUcWIxPQPcDGSbzAqtu+64BuwUzfX/JrX0kF1mEHbYl2AUL1+QygS4jYXo5A9FclQPj9Kg/0DaD3u/6v5xkLtjZeH0ACu2Bx/UMA3ng1HyAWGwuoiZmFbS34DIADWPZ/gbXALv8BvchWY5JjmgOaSYxjuneMygbwwZ7vOM5F0nzLUAK1MWs3+7ylc2HekIB37Pblsx1gvKXgge4A66mHI3evHqiAAAt5nPdu6R4A2IGHlTNQV910PQGYAvytC/CuDD1D7SeBgFx62w6b/AB51T8ZdyA2yX3MZzK07buTr67kho8/JJ1Ju1e+Z/a7tiQ5onOpAxLz3QPHJ3mPlV9frgyAUxLTtdXqbSczVF8tmMqt6/ja8b53tefqEtOqz46zfdi3PHbbk69m9TBJHQdA5Iuu779UMI587/QfB1wEggIhJxno7X/xANJP39Z9rX1tRnrliWlcMBvz/Fd++/+adzi2ovFQx+h8/K4vv/EY8z/2y1MOlhQjmX3UTboGfWb7CZC7T5Qc+j5stMNA164GIDggfts01gogqPzVc2218zV20C9TnZjkiwNSYb/3X8eunbFO6DeG+X5ubVtdklQGvvNHpn7hU7JVdSPRoTqYRKpjgdKYr0A4YKw+XPLEJHh95EvX89Q5BwSvfRzw2XihOgeU7/ZVOxkZ59NuLtn10zaqB1LpxrPuz6gtHEuZ/gNcDxv8SLW3zfx/vNCdf6yGjrrGAO6nPoEn1HcmKecTj/eDdy1FBAo87FG8J4Hn/HZ57rIxARQaG1SWy1rngObYkoAz4FmfGyTGkt0M9Wcf8+2rvIFBPuEY3NvXeQPu9nX+Z6YtSxXA937nts67t3lGAA8A/VnaWnm2lP1mGe8xyFZuMoY29iCHTQZ/JwpQhNpset+7NvX97H/uvy3dvr8Haj0D6JuJ3lhD4l71YUwJ5DKH6Pm6lD2O0gImd+OywERzsL6bkwEge1YAkPVHgPUNupPINmfYYKExgfeE3xR0KE1UFgnWzq1MLWP9dRi2LVfS9JHVHunqYwFBfaTnxzJj4JX82biQgoXE4D3PkUTRvQUCus/mKOZXxqzGp20LbO04z8/PZqCbS2gX2r9ki9b3qX0A0Pc8wtxPcqjnHWiu3bNE2gA74NN3KkyeU/ZUpOLNkSWeW3YCQCD6f/5f/Xf/G9ns/y8gusTnV7HPx9f8M7/1AJ4/81tXW+t/IKuYhaV3e//XprbP+ZZBFzPYbUuMAYDOEsHngMDLDgyAbixEfaH3wgbNLdjo2w+dVLsxmDEV9QRAubL3/8zDjjT6MK9P8lP9I4B8f74KQLdgnm8gve/Ac8B8MR/y7c/guf8slTcQvMU2yvrNAOixzru35Ns3gG6RUAVAH3D97/zD3xMrqB3+Ze3f7uWug7sN3G3gbgN3G3j/d1AdvPYC3MtdB3cbuNvAt3Mb2N5iWAdNNptMNkkp01cAo4lLnwUIWl8wt/8wD5rANRFromUCVVBBVjZgjU9dSxO/PgdA+PgjINNk1LaYAiSbTWBngnskxwcMXjLuAN5rIvxTX7gAcRPkZ8lGAbeCFbKptxS8oLigU0GaAqAjUXqkb4f995nfuiRSBY8A7AWVRv7xgx+7gmrvO1n7TVAFIAQ/BDlke5t0CuoIkAg8Vd7t+0yecnt2b0ASa1jAeUufAgm6ToFbzHCJC+ThBSZl4W+/bCxlLHRsMcxbcu5X0Pntr8z9AxiTgBcAJDfOG93E+DlIAzxv3XuB57xAJU9shvmW7v5mgPFnsPVVbPQNlG9Z8e3NLclhAGQ+7Mub3W91pU6x2njDXiz/I4ndduM7mRXBYeNcwHvSmUmBH2WFkad968uXPLF2vz2IB3w4bA1JF+T++297s0q24NnaeV3fBsAFIZ+/b0UAgbudVLC3d86dkGD/7XO+AXTB/H2/ntUGNgNdML+g/QbRWwr6FMjnDQy8qt7qq/ihY/hioQ7z6jC0ey6whOtXAqDrS7qf4yn9s799+YBTvQj8BDRvQOwC6d/56te9zw/Q3DbY6wDR2odgJEn1DUID0QHh2LLtU6APs3gz55NLB8z1f6CqgDrWc9cdKNwxBA4xp9ULAJ6kNba95IE+MdP7XrAeA732Omz5d746104yvnqvPIBoCQf9F7jFI3wSEj76a1OG9lf/3WMM8VHsOEAiMB0wKHlhnsf61pPowAO++u64gOr+9/y6R90Hddq1aQ8ATKBd18ifHIN/3rkHfNeG2qaA84eWHDypb0Bv55Uk0XqKIFjq/Vc5ANLuH6l/UvvY+5KngPoSA6pLZdTPkyRvnX7Oe5fdBN9sIOTV72XH8b88AF31xF6g41IY6PiC641RBtBegFD9Vf91/N63wCgLX2yMc2MVVhZd0wTXj0c3lYfqSbLEPLeH0W784Nkkp9x96hyscypX6ypb5apfAxp5Xtg9kEyWIFMbqz4k6nR/SyLhOw4093xoux2brDx2eMeVHAOIJt3u3YJ9Xr3Xp1b+EhYqd31pfXhlCeTqGtqOVcAkwtRHvPHZy1O2cwGbSTi3nWSLZwWdkVjPQqgkpnNPGkO0XfXYPbUPmevK0rG6dyOb/tMPQHqev6OQZNxKUaJthm17pKqxD411JW9UHxbvQ+9USWitqwzecxIXJaORHacm471nnLYlqvu95dYBeZSWWreVXfZ4eIPjLIa2fzeQ3D4t1ZnxdeNWQCDgDchHDerZp5mk9JZ7r914//Yu9r7tPAHOfcfgdmwgOMAQE7/6Uq+VpfK6hs043vUBMN9y7dtOaXvGby93dSQ597lOKy/P9xbf3wtAfy8Jd+MS9WwOY3wucde4nLIY4Ll5EjAd47y+pu+jwnCSe/hGj6LKmbNJthxLD4pSLx59C+UF4xTs2nk3HesDYLmyAO+32hjmOOUHSaD6GYk0El/m3XGSUq6+aNkOGadK7pUEjCELINUuzBt3gpSxsQRlKl9tZz/1L1Gk++IeGc9KothtAaO7ubT2UPveKgUSUrQp4PgeH7MqG1WnkxBgDC0hwJySutV+Hls/IOwPfGS258Xu+VD+DfwrOyn3v6zl1qvA82GfL+n2l/zDF4BechnwvKX2tJX1+INvtra57GUBd4BxAPokCZ+k/NooBrWkCjLlnhPvAoA4e4/t0065qOto7CFesAF1oLpnr7KIaYzawk994VJhEPsAovMnB6Bv+fZvBKDXvjaA3ud4qC/fc7GI2ol+BtsciL5B811Pfd/+7IHcGOid71UAen1gHu7d1+Tbi0kVmwKQb9Y58NwSA33HCW4A/fXHHO/lroO7Ddxt4G4DH3itdXDfgPshvNvA3QbuNvBXyEA38Zxs39/49X/72V/5zL/9x2+88W/6/MM/+qP5T8AFIyEAvQldS5OggjpNbrCl27YAoiAO9rkApAD4+OgdVhJZMmxvUvD8yYYhdrLGW4eFvQFyEzYyi2TRycLvIJuAV8EKwQ2Auwn1+K0f5m8TZIxdvqBY1K0jYYgVV8C5yTHpSKAdaTRBFWwcE1YSaE1UMYLIM2L5VKYm0aMCsADYAifb867tN/NG8LX7soFzPqIAU8zlS/r7MKKqbwFFIPoG1Le/OnB1ZF2T/X3ryy8BvLx5O2/HxQ7BxrI4TmUIDG9yvCXdTZA3eN42z+A56U7ALAD9VUD4q0D05/+efbMxNjbLXOB4e5RfdXeCumRpx0f1AALbjx6rsXp7ibl4WLAARiA6r8naoaCn5Ihhex75Zh6UfIiHZXqANSCIgCEgn98vAJ1/LKl4bRN47r5tkPxinh8wve9XoPMc6yUQfYHqJOM3s3wrCezvmDT7Prjnvj/fS8oDz0oDz8zz/VnQp+8Sa6o7HsFAUJLngGt1zkObjzDWukDb+OoeViOv9AGVPvEAkT1DPIwBYcDPfgeKBaDxpt7e2iTIBSMBrvyDgb5Av9rM5bN+vK87dvvWL7a+Yw6j+ci+kxTnzTyB9tpeXvAvHqxyDNdhYZ9z9B1ojrGGmYOlj7XdswAI5r8OtMRUD9TfMtRTp4et3X0go69v6j9+4dj4XVvPjjoAOAOjebFjx3Zu9/RKhDjXuCW3Adm81q2vHFjD2OqTtHDeO51j2teRqMf065oCYLHnMeL7HXBa/+E6KQx0XNfE5x5YzjO3hY87mW9lJSvveoCx2lrfJQFo/7Uzx9XWMYO9o4bZf/pADOeR5D3sa8ccBY6jANAn31GJDYDaQMr+j9lUHXW8SUY6AfbasaSi+qMY1JjWnu+2B74BIWqX3pOY/5Wh40hO4YeN1TwM9c88kmnaFpOz8Vj3bbORgepT5n/8kHCvTCwR1J/2AbiXcFIZAOHOL5mn5ycZfv2DYL/3S/e0tsOGpWvBEq/e1I/Eiu4PQJgsfgB6gfDGVbaV6MUCAWACMKt9TILJkTzv/lAp6F1grNXnyMAftjqf8e2fvC1rjE+uRL8f/YVHosQZ74zk9EkcM3btvTNj07ce96hraoZI/z0AACAASURBVLux6zmS7yN1f7zuK/N+t873A/57r18qC0eWvXZkrLbVmCRWUmJpe2Cd8d0kn553MKB3s0UlkQGCAXwAa+D1ll/f3svAP8AaSWuKTj0HmK0Av96nG5jDzsVS3yA6iejK2XZk3SWyYV43Lm7O0ffG0RJQgdSOYVxKFcf4TzKrOnJN6rN9KT31iXG+k28tEmK3DPdOWmhMb13b+b2T9Fr4mW8A/dkDfUu480DnQ+0+uQ6WOOwGzJm27/PMaX7yc5es9UinL9sMz3LvU+9sia/6Uu9z78jpP0ra/MxvTR9GSYM0O3l2ACevciC5Z6NjzjNy1DwoK22rDgm2l3rJSbC5knoPOL6TrSehIIuv819zquoLUNkn2yqJyOYk5jXVHVUHageARKph2nrzued2znfc82HZXugA9A2uu7+SqbVbQDmpduXXN/Rdu6g8nn9z4fZzPIkh1RG2+lX+D37smifvhAD9imc+KfeSl79ZKXfAeXGJl8DzL/z+/9E45ALPP/NI7Nuy597j/M6LU2Cks6UD6moX3WNtvvvl3m8AHdMbeC62IS4guab2RF2Popfx6fY9B4xTmcGiJ+vemKxP8zV2BoDonVjCAx1jXpJD/SLgmyz7e8m4A9U3+xyAvmXct1y7ZP5nW4Nh4x8QH5CunsRitrz8e3mgPwPojRUkR5Bvx1y3bO/zjrkB9J3EcTPQ75jpHTe/28DdBu428P7/H9fBay/Avdx1cLeBuw18JzHQx/P05748k5VAdMD5v/qzP7uW8Qr9jQf7vAmNpf0KCBTUaYLEJ4xfFxaZSWYTxpFTOwEcfntNOguICGADzlvXdljlAkLky0jnAdFJjG/Ja1J2gDxgGuBasKLfBRyuzO7DaN/BpZkcx9w+jHSyhOStJxmgbPQm1kfKfYDhA3zLEifR9yzzuGXmm6RW1h3oFPDD8pWVvr0bSWFXHoGSLZEuWI0pL1AMsAAAAMy3XzovSYFEwaNX+XFjUGPJAT/4gJK8GynivAvPscl+azvY01ty8xlEr00XsCnrvHWx1QWVCoKpn+0xvgH0zT7entjbo/y9lg3mCt72XRBLYHaCcof9ol6B0wLrASoYjmSJBQ6xQLtfgjItw5w9IBVQgqy09rr9mCf4eMAW8u/2weLpO3ac8mFrYLkNuL4SKNwbahLA8y2XD0R/9kHvOJtFs7f3OW33gOvqeECCw+rfAPpmnm+Z/B2of9W9fAbQ38v/3CL407rqDPPZvQN8bglswDo/ZoHn8QQ99xBQ2W+MbAB6YJhj8MV2P0e2+oC5w+h+92sXg7RAOBZ5353vOseLf/4SKErZACucr/sA3+d8vEw7B7Cua8LEBJ4XPCQzX1mGpX/8zV0ziftJ4vjUYz8Mt74H8PFRn/IHiL/z1csnvGP1LJCfB7JXFn70m0ULIG5/QPkAwIHgRx2gZ9VvoDGfbYzdAcsOQCzRQbkHeHjnAUYDnslkUyboWiQ5jMT6kXyXBNH1eG7bvv3bxzlIwlfv/QfwKCjbQoWg/uUZsNcv1FYw91sv6aPyXgk55z70CWynCGB7ddJ7vvIOSHxA+kkOqv0cWfYB108ySH08YH3k2QM63vq6BDdpdn7EfLYHGP/w5666bl/y8WT+64tItwN+GvM0ppFkgK1ICrtgdn1xfdOouZy2SS69c1o3Y4YzZmGp0XaNUzrPAL2n7iQEALW7TsoiAyK9+M1LUlminvc95lplbhxRPzWM5cOq38ku2gZ5ceoPLBEkonTvJe50fMk8lCXcI4k5k/Twid+52NOd/3qWXjz6M4lYLdXPBtBLvKxO6osxVqlqVObGlJIaOk7jw/qOsSY4IHT1RD1FXU9/dJK/3O/u0R7PNEbs3vtPAhg2q+S/Sfok896Y7pOP8Ym22HG717UvyRDTx56kgdqJhMStXuQeSxChBtN+FyP2KCBRWpEgCgRr7OKdi5m4mdaVHxAGAN5+zI0xjS8B2dsCyDqMa77Nxp+jpvS9H55PLFYg3AaYMWyBbySmMWKB3QAZoDMLo+YRgSPex0DmwJ/AHCBQ/2/PceM6ZSLVbdy8VZq6ntYD3SXhPo/BtzIU8NICQH9OOFB3u973/+YdAHC/u6ZvloGuTuyPlczGiW0TMPBZPWrAwzMPGzumLCjOWL0+FEBde75sqw6rnMoKBSMLtvn2TN8A+lhrnPfkpV5xEgk3g1xfItGmfkSyjIQYylfz/0n2pRwG3PMJQMeElVzdZ/XV/lM35/lnFaKPZ+fQdhtsNQf17Dqmtj12A+fZ2nL7APTGqO6dZ2YrE5gTbgUD4Lw2bdy8rZ621YC2LgHbM2o+BFhv8f8G2D3X5N6f1SOUfYPoW8r9vcBLSc9Y583nikkAz2s35jibed733hGY3cUtamvdDx7pxSmaG2+/cs+3xBF1tdXWelYknHh2gL8Y6KzLJH9IUJaEikHec7DZ5xtAlxCwpd0bq41FTEkaB8TH3n4J8D/PLPAccO4e1raewXO/6zee5dvJtmOfa5v7mBv8lkAANAeiqx/bUnWovWCf7+VZwr1+bycJ1Xe4t9jnAeRk25/B8+scf+cf/l4JHGIDrzvedi93Hdxt4G4Ddxu428D7X3MdvPYC3MtdB3cbuNvAd5qEexOVJnpNVALKgeYbRLe0HoDeRLNJnQlZEyigapM8DOICkLKoxxvsAL8Fi/sPU4DfFyb6lim7/NDPhFI2+Uh5vvHZi9kOQDdhxj5/9sDecopNFgVfroATP/UPPyTfmuw2CcacJx+4pW4lCWBVYOYC9gVPTFQ3W0VgQsCuCaHAiaCjQKSAV9fPQ7B1BWQwnAHIWEtYWALQmPPbc9wyAeoTYOaFLQjHU145BW8FfbHO+ry8uU9gjuQvkG4k749Pa3UHLAX2Y2H3fUvRPzPRBWCwzjfYfikArOQJLPQNfPu+vbU756vYznubZ6Z05xR4U1+X1O8Bgy5m+WHWTP2/+fkJwgywecAhgUlMY/61fIoDFbfnMAYqpg52IYAUqNsxOh65cQoBZNzbFnA+gPph3rgewX92B1tOFutlAo+vUEdQF+p6tx3+7+r68oU/jKqdBMPX9Jl9vr3PLzb6Bz92sew8R+7/BtAFL59VB74RgN7SOski3Uteyd0XAHhAF99qjGyKDJcf9wEt3W/A+8iif/IRcPP8jGT2YbVvb/WRuV6+1wBMkuz6K8Co/yQA7IQKCUIkyoGmrmlApBcPwKjvjiN4WFmB9c7zfLwBpd740si5s8AIzAUkDyh2GG7A4QGgD3sdMzvZ+9YDnAGKQGpAO5n8YWy/eMhGT8JCLPWTDECivfUdZ+7ri4cUNiDbs4StR1mAz7zkgNpA5/XM9Vl5SG7zDQdcV4aea0x6iQBkrtXbxa7/pd+/5NQlS+g3CspWlrbtHkkCcFwWEKTmJeP0HwY+hnj/STTQpq4+vHt2wENSppQS9GNkr3nFA2U6hncD6WzfKzNQdvxsj4zuyPd+4jcvZnrthXIGNrYkk45fXW4p94KykxSYL/cnH/7YxjKVj/qDfnz61+NnTg68pf6HMk/7YkPr63l4D2v++HsDkCQ2UYLBttwstPrCwIIt697SOKv+qvrQh5Bx9x6QJCd5pfZL0YDkOOuC3Tf0u/YybeL0JR0XCD/JGvzqTzKEJBPS+2T2266xQPXd2LHxygCYKa4cJQd9QmWqz2g82rmrF6y+SU449xY4XRmrc6z4yjLJZ4eZLlmh8g3gf+Tf9zgIoE2On91AY505z0++DJZL6NPvdY+69tpL5ZQouKXlte3qozajvQG6gOYSxIzbSEMDygC/tje2AQ4CAwHoY6d0xpUA5gAG48nt473HlptdDUDf8uZY7MomUVBSqn23L7mkNeeUsEouuvE3gK7naYNB9t+e59jolJtcw5amNx6hoLTr0rheUgDAUdKBMXT7bQa678bpbUuKG0gO9Hz+zls+1vyWbjcHafnLAOjVRYvjSf7cMvQYoO6p9mZ+tEFE4xdJRpsd3jNAFYIdlwSfURH75KPPai6y5bS3XcxWCZEQ1XMySaVH1cGY3/i/MnVs80bS1ZshDEwEehoXXvPGH3+MG7cvePeW6oNnz7zQvG1A1h/75as+WYVdymSH4b7nWc4LaDSHM9/w7LQ09gQ+W7SD2kTLvp/aKhB3z/EA5ZeF0pkva8fbG91i/znG9//IS/YE7avP0W4ApBJHdpLNXvihfyMW+madF4v4H3/6iz//wz/zld/9n37m1/8M0/wl9vnyCOeHbqmddR/6joneciXzn8SG5/s4bf5IsW92OmU9yRLUMi4m+0nMH0Z4FiBHNWYD5xfgj21+QHJjS783o759N5BvEQOhIGHZ8ulY3XzKnxnn30jCPal04PmWcd9+533HwgeQ7wSVV3mhW9f21j8D6J17M9Cf5dufAXTS74HnG1DfEu7P/uevO952L3cd3G3gbgN3G7jbwPtfcx289gLcy10Hdxu428B3CoAu4BGQ3USl3wD0WOjPTHSLiU1B3SZ2ZNxNnoDg2MPY5rKnAei8vPu+Pc5f8jpfE0a+2+1P+r3tBBYFhzp/k2VyzVsyW8BBYI5smSDZM5sA+D0SfwHkn/29h1z7mfQCh0jWtggoXWyJI2kGNDdRrXybgSPQImtb8A0LYCSyT3AEW766qA6ry82CljyAbYIZzJuePKlgL3YIkLfg2IAWRyYR2C5ItZk5pAPJcgeeA4m3XPWAHQfoIcsMWChAh90OMMUG6TgClq6pcsQ0L/jSEni+mdBXosQBcHnRW4+dDMBtHcnc+TwMaiw6co48FQXd2r9yYqwIhJPevVj0sRdJYJ56GdD6MPv4Qw578O0H2MrjGjO47/kmB7CNN+Wv/vEAhwFsQNItkc+Hmpw1Cd+OP6DtkYHG/rTflThxWHhAAQkhPFgLQnpmXgrIHUAcy+XZ23yzpOaYJ2DaOrLu9nMPqrN9Lze73X1+FZDufJuFDjx/VhvY30nIAs9Jtj+D6QV9+hyA5jD3gYKYudjmF6h3/Kg3AxNLHEBJcjmQaXsnu0fAc/vwvwZ6tS8/Up7m9geQj3/vOw/5bYAmeXCe7bzIWza4VnsFDhc0tA8AHrAK0ATMbpnxAac//LkH4+3IsQMBsWOB1UBnqgvtA0QGjPMCxyTv2Yip3vbKvkH1vg+oe7zj3Q/gorJjIHcPsZvZJPD3Vq/9B9gmaQ+47Jz6O0A2FjnZ+sDgnm8y8l0Ln/V+dwzPMsB7s/UlN6hv94ccNyl510gZgJR+ddY6jGvXBTTXhrDh9SmuRb1ggEuqqHyNAWo3ATQtbQ+MJa8+NhNvffnyx8ZKl2DDqxpgTu0BgF99k+QH4LsXc743vjR9JwZ67/LaQO/QAcJ/4guX5Lky8KJv2wLnIzF/JHtnvHJ8U7EUx5/9jS9dffAk2502Qg5/3r1HyQHwWh8y9VSixke+NH0aGVPsu1joBY/rp7asveSbsTZYlgESMrwfKOO4V+T7+1+An0UNa5DpH0qsO/LkEl/cB/W833dtx3KjOilZoTHeSHSfsUHbkavlB9892VLSXTMQb5QNjhd9gFrnn7HjkfyX+NfStWCTk22X9EVtoN+V03jqYqcfZruECPLSbHw8S5I9ak/9BwQ0/pEcNJYYy58deMeLe6Sf2/6M1YzdNkBmDChJzfsRgA4wAqAbR7YAo4FfG2wmU07hyHdj0vYFtBuTYqGTnAegb5Wk9x1mNhUf43DKTxi2rIuUmRRw4M3lu/43HuByoE+/AciBx4B+SQCATIBp7eN5vApMJ8WMjQ+U6lo7hv2ARN0vYL066Tpd6/aK9z9pbmV8FXAOAG8O9V4AumS9DaJjom/Gcsc1xnFvtw/29uneQLoxLdUhwPQG76qTDVibxwG5e749uxJ5eqex1fA89HwBzikyNZcDjBvfd57YxPUPA5AfoFMZWshwz34/9ssXY7xzAccldBqzXwD6SYLCMKd+Yr63GdkbbG3/bUXU8076f8tWt2zmOIszqgdk/rUNCdOe292mr3npuQ9brYIFBaWxlxIIzjx2e6Xve7+fjT2O30kXngmA8lZ62M+yZ6DPWOjPXujktDfrHHBeuyHLDlxuYevRO7DvvQ+ffc/9R02vtrIl1y8rtx//ur85RQYKd5L+zW+pYWCxb6W7Fup5EqzEBbDjXcsn//f/81ICMgbtfdz2kvLbX3KGdrPl5Kkd6KNaANl9bqY8afT6SqodzzLuz/LtPr0n+u7Yz5/7O2Bc/Tz7oVsHWJcwtcu5AXT9X3LtjRe6x4Hn/SbhHrgeiM4PfYPnEutvAP31xxnv5a6Duw3cbeBuAx/4lqmD116Ae7nr4G4Ddxv4dm4DJq8B6E0ASYaSZMcWAp7/+b/+838HQG9d27XPTO5+6CMz+WlS1PfLTyxmV2zAI2VZkIVEmqBJS4HR8XD8sQeroO15QA6za0n0tZBxJ/G+WRUm/AIeW85O4EJQg+wc+ceOwS9N4EhQHJOD/3Rl5uteILXgLUYZmVaso67LpHeCC0cyzbkFTAqUKNsOZGIF8HOfIMABkquLJvOVR6a9AOwOOPF4bcIvoCzYjRUKECLnLghM4nY8Bk/goTJh+Tz7oGNWY1ID5MlLY8vO7+NL3LkxPgS+XpJXPcHXrg2LrOsp+BKQTgZ8BwvJJ2JrAdaxCHmHdk0FoATfL2n142c9bPrj2XtJ3C/GPmnXFiBk1zwszCVbD2RUH7yVscCx+ICUGMsYhQA4waUCMwBDzFOgDL9sAB/mav8DzIFygBDPatc+gPq5DuC5NgAs2sEm917yw/ZfLLiIHSNBgqS9JARJDCOZzIrgBCc3AO9eYtIAx5+l4reigDJsGXcA+wbNgeptv5noAPMC1n1v3asA9OrvpfYfaHYSI9wbjN7N5ga0uUe1l+6vxAiMWs+O4DR5Y0xeKgNkV4E9FArmGAdkJt0+AOcBry/Z5sMYCzhufeWvDVwJGAcgB6ySg66s0/7P/4BHkurWVb4Y55235wtAzZOc92oBSYkDrWvfgpKbDVswssU1AIPJmZdwMskK7zyemeqSfDkpWQB+4HWAOxZyfbt6m/IdVj7pdtfi3vCcr8wksbG2AfLuoXtCUr/9+q/tu26y2e3r/7Yni87nu+vCNu4eed7dewDnJeH9zlenTsj5jxz7ke/HbJes0PEkDahXoCqQRJslpz8KCYdxPYk/J9GiZ7n9JZO8xEZ840vznNcWsBMH1Dhet54nsuEA2EnyOTYXLFU6Vu1JksTIqR/p/Q2gF6Bt6XvvSQH5zjsKAof1TMZ4gOaf+/IEyL0DAZ7ej+Tc+ZmPt/oZG1Bj6fpt4x5LorrA1qNUUJ/SOQOR5vu7fzDlLHBcUpc6dE+wyCVDqX8JGbUl3ua861k01BZI0LZNx9BneSe1HzZ2S/eg/akEUKthZVAZxiv5zc9PXVPMmfoq2ajkygOi82ZX90DwSUb48GPsWNlIPQ/j78Xj/pB2J6Pv2axOJ1EhhvlRMBgg71iQVN72oWKEqV59eqdL6JBkiBm/36O1u0lMePG4f0BI9jgdu/3GS/0kjSnXjDvPOxWTVAIngJ0CUdtVL5eSS6DnYlAD7DDAARaBF4AtTO+9GC8Dhbf0u/EoYGR7MW9J9y3hDihWjt6vGNyTRHHAY4DvBukx0CWb2gbIE7COjR6Avj2mjQ+NDyT4GW/0P6smZQYWGi9jogNL1deuH4xgIGflA5rvusMqNs7v07U3hjAH+GYA9Ff5oO9EAufx+QzIAj2BuXvMLrGk37XLflPzMmej/rXZ31jYPUPDDj+sdO9r78xJIK2vPLZAFwi8VMUGjD+fzUmNy/vP8dvW+NvcTJ/LYmon0D6PG4HoElGA5VsljIqaOWPfHVNyRvVnvOn4W95/J6Rs5SMJKBJXuk9b6h/Y6JnfycQk2r33qoPKLAFg2451HzfTeubHB1jfalG23d930oA5p/YzSS7qdLUv3u6bWU9KGxMYcN7vZ9Y58Fxi+pY+fwbRgecS/jHP2QVgpAP7xQEk/l5tdyXbA8bNb7WX6gD463iS6ms77OcqmzJWns2gdx29E3mhm7t5v80zd4BznuJdgzm7trnn9uwvJGY8A9OvknB/lXw7BnoLOXgMdNe++2d1utnmFuUn6W7fSWb4oYeF3T5HZSHfvvu3xjuNF0aa/4Dnm32+Pc998j/f8u239/nrjzfey10Hdxu428DdBj7w2uvgtRfgXu46uNvA3Qa+EwD0JrBNQGVxW75ZAB0LvX3KEm4C1IRoT6gm4HGkLE0EybNjpTeZFaTZYO8lWfbhT15BTJn3W0ptAO4TUGmihi3Az4y8peDGDiZt7/GCBtg82+MMUGjSPayf45VqKTAK0BesIAEKgCdpJtDWhFX2/kwof+AhwVb5KtNzwE5AB3De9WEaYGl0/ucEAnU+gacjSUpOf4COcw1ACED6SKu//ZWXvEEnwHCCDYKoAo+CL8BVADTgHAi4pcYFnrH0uo88sMcb+wSMOz/VgOrDOQDeQG9B0e3rSRJeEJU3qmAeudzOwVuXjD3ghSw3lr7v/JuxU4cxenxoAdrk0QXaLyDzXDuGJtlloAZ2fmUgfY9Jiy3Y98Aw4OWW7wWaDXD/zlcnoAmAxwpqW0yI2f7IKw/ocUB1IAAwoWUzeTBgugcY/FhyfQdeb0940u2XysABA4DmWP+TuHDYetqE4wDoN+N8BzRt32LdBtLJ81Op2Kz1+oMt6f7shf7MQG+pPLWJyzf+o7923d8Bqg8gxyMY0xkrG6t8AOOTuLCTHsgGY/7W53TvALPYvPsZaxuAu2A2yXBgOblz7cezD7TlKdzvls6HOUNSmRWDZ32YmwFYgdoHqKsdY7WS1cbCDvBsW8D2MPSP3zZgvYVkMuZ56wpGth2mN4BafWJrY6oD+XtudsKBdZ639le/1Rcg2fWML/kB/Hteqtu2B07uY7ZIOJA00/2tHkeK/92vzfrqwTMpucF9mASCt78y22159dpQdbA9qlvGW/soGVA8IJmtXbZ/66sjIGnHHh/zUway1oGwrhlwzvu6813JGKevBNZ2nAHNT9vsegGPbA2A5CS1q8/6gdZhgfdbYs/8d0B1oH6/gZodF4jcOQG8mO+NXcaO5g/+9PGMfPzLF5sWAFwdKRdrBklxl0pJYKfxyQGhavttM97gh3GMqX8lVemfDzNdQkRl1OfqS+ojHa93PAC9d6EENezzaQMlgpz2S80EQKFP6r64RoA6QH/LzW6f8km6aSz3id95KE4cL3iy7cD8rr/jGU/UjzfWqK5HxefNT19sbIzPjicJ0LsVo51CjkQj9iKjApHs/k88khEA6JbNAAdCsQUA0D8rJQHWKy8bjmerm2HQvvn5KzlF8lvbUx6a8cnZF2hPAp7cfOc1pjO+oaBjnNt646w+p86W6g/ZdUxjQNz23gZykDoHgmCNA/aMNSVs7m03mA7E8bmBc+9YQP22FWoBwDb+3UvAConexsmNh8laA6IDi0f293sf372br0TYo96kHNWp8QILIwl9fXZfjKeBpu4B9rmEv50YIMHTPEP5AOTqfltEPUtzb9b43uYvAtA3yARAB6Lv40kS3Kx485+dNOBagYnA1eoCw7y5AnBbIvGA20sJjOpGz6zEMAohEqbJwW8GOVY14Nxxet5GIvvMn7Yikvs6SVZn3CgBZQPdxoLa6cXW/rFfnnXVBU904B/fZvNI936PL7Wpjue5AH6rZ3MP9eweaD8SW3ZSywahge9Y0wBbLHsJDtX9TnjY3t76NvXqv708J55f58TcPoA8NvpuM8rqGaDoUB3N77/9D/4sNnBgZjGHzTrf4LkxzJY6BzxvALp3du8QYHnvi2c2ev81D9+2BduKTdtz/RI7tlXbzPHPfep/4LnjqOeWxg69u1h4kJVX7r5X9sZVbQNclyAtARngjEmO7Y5oILmh+pbkIiG/NiBBqr6xZJr3Ypu/FwP92QcdgC75ijz8TrR6lm73G9juf1YSA4AvX/XOVd/1LN/e2Gbu9W/8+sQ1ngH0Z9B8f39O2njdsbZ7uevgbgN3G7jbwN0G3v8tUAevvQD3ctfB3QbuNvDt3AbKym0i+/Nf/oM3+YVhoPdZ9j/wnIz7v/m//+QlUP2ZhR6A3mSsAFCTpD055w26wU5Z17K4LYDQKyBzwOeCkgVdSbsP2P7hTz4CYQe8a91mSQDRTUgFIQXCBDowdXhIOiZmgwk3+Tds8s5fULrAqSA8FgbwWHDK5Js0ZZPTJpCCXsNGOEEdwRQByMkqXzJ+AP6ujfw1X/jqkISdAJAAQdcAeL7Y9UeWVOBlru8wx8e3/si9k0EVdOavxx9ze0gKsFxA4gLR+b8WTCYnLLggqFBZAJy83rEvBHW7R7sttYxk7I/+wlVXgrkDuB4VAPKOAOH+I6GNwQuQwObjEQxowtDjHUv6Gcu7bSyAvWEZLm9qALrr5rnMs7zfJLzJI2OPxpAF9AVqBQQCIbsO/svdO0AJkB2jVbmH9XcAdOUlNS4pwHPYPWPZIBC1lQL6fknYn+d+s3Y28E1qEsO/e7L353sOQN/qARjrW55/n+eZxQ5A/0bfBcQ3iI6Zvlno+zsQvT6vz+nLPvnwIK+tY9sCtq7kjHPvd0KGZBLAZPeF7DrGOjAdEA704u9MbnxL8WurQHRyzCTOHQPQCxC1Xf9veWzgWUAXoF4iwCgVnESQ8Td98ZAIJ3Os7V/P23nGSLZ3PBLSbbe9U2OGAwQFXHmgt8Rmr3xAcb7hBSyT0CRT3rPTM6SOKwvAmRx9ddY5gLBk7snTt4/7BuT37M8zes6/faOx1idpZXlyk7glMT5e7MfXfR93GLK86Q+zD9O8Nlc/wFO6uriY4KePbb+26Zq61uoJgIrltb2yydtj/wPVAfmVCctbm6RcAOiUFFA5eHxjNWMH62965/Tc1xdg/ra+579FnwCUBaDv5wAArSxk44H++rOWZNCTvP3faQAAIABJREFUcMdoq48BjlTm2k3tfGTCz3PFYsM7HlhjvNI6/WF9pnfcsLXPe6Dy80ntk/pL+2hrpNUl0RRELhjfb+VtrPW+7/7BOd7uG0ZJ4SToAMcva4dj0VA99O7yzsIsb1v+rfqc6o3Mu76FlLv3ufECSXYe92xbuleNR3oOq5f6W8B72/SOb+xUnfd+aQGY916pTFj5wO/OY4wxSWcHtPZeAlJrK71fMNcBeWSqu8fApamLj757ycN3LZWDRQUVBM+Xezvv1pN4d8nF974/dYGZOwkDhzlqTLjBPe9IHsuNB73vsKKfpciBoltWmRx676+AlS3JvsGuvksYA+YDhkm2S+oE7G2AmBIDe53tIb5th3Yy5wbFa8MbQMdabHzc/7btewDL3/3Q3xsQpfctGXTXLAnWuNezafwH9CTfrc43yEZVCchsPLmTGHwHJLF78bnB9L1Y1+erGOMtG0D/j//D/+Abgugk7Uk1d8wNnu+lOjT24gdvzE5BypjKtTe/uGTTD1PcnA6AaD5mrlAb772g/26f5pM9c322AGexoAGF1KaM+1go6PslwFCTYJk074UDGnt+WAQB0LWLGbue52orlG0WNtb3TgCVYLk/gefaGyY2z3OJI+Z0tfGtgCZppe+ea/NK8t2SFqpnc/Xq2XxZfzn1/+JhazFqHue375LWAereYS+x1A+AvBPXMbm3jQFp8710fdtqQh8UgB5gXrzhmXVeu/F+rn+NwY21zT88ljYp9C3T3jX0uWMW1ZVkD+V2b7sWSfqUDcxlLfbdSURA7d1G5v1yrD8kppk/bfD82b8duO6aerdQM9js7Us57tS/WIb+v3Ji0VsPlBZXAE4/A+b+2wz17XvOzg54DkDf7wFtFyiuHYuzSKqwrnjHlpj3H1uOZwC9WNL2PifhHkAOQOd9viXcJWzc8u2vP8Z4L3cd3G3gbgN3G/jAt1QdvPYC3MtdB3cbuNvAtzuA/uV/9rm/3sS2iSzZ9gK15M8wtF7lhe53Cym1JrBNipoINSnjP8ZXjNf2BD9XQMCEHvBrkj9A3Qo0ArLJ0cnMdizBGIA8absd4BP0M8EXCCnQ0aRPwKL/gck7Yx3LYQP7/c/DrGsTzMBS3oDzztYm/VhAbSSj/8YDRBe0FFjZwUfBPUEgzA3fMQ66h9Wl4B+AkNQfX9INpgs2Y4GTK+971+O6eKADswWnBK4u/+u//7MTDJu6OgA6gFpwniQxsIiUbPW4/T4FyQRoqheMMkw2PrBdP0YSVtIEBA9jWjBdgA+Dj2TuBjCAg4C/QAfgduBQgBQAr32Bf5a2L3CCkYN12HZ8pYfZd7bFCgVo8CfuM8ArELEFC5h0dZ7FJK952fKs7jgf+8qfznbY54EmLAgEc7BYA0oGJDlgC3CkOmZXUJ1jweykC3XbumlHP/m5R9DpJEBgpgMRqAAIhs76n/i6FKd99iKpZTw7z38DlH/vh6820T3nl6ztjG/6UVKgSLCl4TvGVlXYfuhA85aC9v33zEJv6bkYSe0FhF7S34epXL3wlAaeYSvvxIraV8eQvIF9DnSub9lAK09eoCs1A20ICx4YqP3wqK4N9B/1CeXr+0h5L/UIgcOAWGUUPKfcgImmjQ8b9+yPJezZr+0NkHyeQ6xcxw+A2sA2oLDPgpQ84NVrzwDp9J6rgLsCl23f79aNfPwBW9VbwLp67VySBuZevPsnF6iPTUxCHwt/QPYXj0SCjkcm3TWyYmBjsSXQSc0DQzHVO6/tLy/qk+RgO1LsAPLqa+TnO9/pc9vfvvqK6f8OQN9x6hMA+u0DiMcYb1v1JvFAspHEkNn+3a895OAPM32z/PutjJNYcvpfzHBsc+2QnHsLcF0/0/ulbbDn+76TS6bNlczyqUcbB573v2A2Rlt9R+/N+izBeuoDkxhwnonqrLZuHKL/IS1MIhZ4PvXz4uHJ3tK+PRN98jqXXDCKL+dedq765t7t1H4qG3/wwLLGLbPfUWvY6gnuYe+GAbePeoL2pk8YX/Gu8xMP+47KU7kkdUnAAq5X/9P/HxAZ61S/433vvrZUP/XpJS0EYFTuC9A+aieS0JwT2MyT3Liw42Lik20mv25c1ifgqLLwJNdmqNH0DgEuXco8n/znc/+26kD1WB11T4HjWP3Y9pQTWKawvWl97WSSQ7N6Ma48SQPGOdc7alvhHFCTMgLWN0BIMiUA2XrgHib69uXuOyCvxbuu7xtAB4ST4AWwS+5kc7IB8w3oW8fqp+MAgja7HNNRGQFy7/vuH5w23vrAkT4DWAJM+h/rGgu2/YH42LuUmvYY2FjwYp02hv6pL1zlV3b3BVgIKN3n2MmuGzjfizF+1/PMQCfjDvj+yzDQ226z0DcDfbOdtQHS28ZQwMVJ1Dhy6pd3+Hk+AHhbTloCsTGcseE870ddhxoIxavLK/2wzAFt/KcvJvBJTvGMdsw9Xmf3o4/l6w2Ed03bu9xzA3wE5G1gGAvYHAP4vRMunpXLOp/nwlxtPxfq3jO02eQk8AG+9YmSECRij03YZ35r3klULfb4+0paOAx0IDCQ2LxY/bJTu7zj608POK/vsx/GuntmfrmVzTagbj6754HW50mdvVbAeUvfK88kRJ2EUnOPDTq3mG9tb/HiDcUaeKGzkHO92uv2q1f3bTfv5lP/4gdiBLv/s4+2AtCWsE09T/mw5o0r+l35ybU3NmscOmz6z/zWpXgDkFbezUIXKxhljtOX9W7uPey+YnzbFgM9IJz/+Tfjgb5BdOA2tvgG0HciFsn57Xu+f5NrB7a7pi3hXj+mXythKDn57mljns/+ymde8j+v798A+l5at+XbUzu45dtff6zxXu46uNvA3QbuNvCBb4k6eO0FuJe7Du42cLeBb+c2wIusjPCywYHXLU1K+2yC+irZ9mdmOgC9iX6TqiZELU2esBtkbJPG3Kzz/ucb2ScZtr43Wbz82xagvX0id2a9YMcGvcnbmfwLrrXtJfl8gh0m3MDmzifAYbItgGoC3vlaj63W5LhFpnsTZVKcAok7gElCnrymTG6Mhe3FqGw7CIBtj5Fe0KP6k6WP6cuTGluYB+nU/ye/zqwiw1yAmCzqBCaO/CjgEmMXA13AAYDOp48PqAVLFfuV1DLwDDtve39u1njnf993/+AlZypQPeU/wG31QhKzut0SjIJxE+A7TGG+4wBwICjAG6gtqIPdCkAfT+kjFQ08bx2WLFAUwNH25KsBZRixgSYFWfZ5+n55Yb/43flsu8rD37n/yS6TbgbIA+6mvMcrvc+AdT58rqdjVDYy1O4J0IfUv/txydSewOcVUC3R4sOfvNhC49Va4Pq0MVK4tQcA+pbkn2f4px8yvK3vuIAQQVz3kfR76zsu4JzKACY6KV/tCXiOecUvvQV4/ioGOm/0DZ4XzK5MGLvAKuxtYG3XNFKyx1tcckb1Xf0O6/MAlBs01w7bloQ6v21MZ1LW9gFyt01tqGPv8vTd/pjIyoytvuWJSaTvcmG51j9gRPNk57HetgDins/a9/Xsv/0A7qZfODLtgLf+65zk3du/6+7Y1Ba2LPuAgx9/sGMl5/R//fEwbt95sIH6zk5hJM0//gDl9EXqUkKKcgzj/N2vXcCqulJPEhO6nva9VB2OH/hWChgm7bFuAC63PVsIkvM9n/POOf7WJNgx2u3fs9u5a+PY3xKCWiepwH2RLOU8u41hK0tS0D/xFO93dVJwWHKERAt1On0fNYTjgS4JgKS6OuWTjVXe0n8sNVr0Nz27gNcBbAIzT6IThQ+AcX3N5W0fqPPGl66kBR7oBbWxwRv7FJyvzWJDYw8P6+88n96h814/7ySWL8DbSQQ61y8Ro/LqRwfgfuerl2LFJfH9id+52lDl6p0eU74xVvdL+5tg9w98ZOrCvQNC70SSFnLo2kDnpQQziRYl/P3sb0+Z2UdoC/p+3uS823mjS7Ca856EBzL78/y99cWRcK/Oqu/GJEC7YZRSODkgPLChOvPOwOquXJW7MnVv2g8AXjuQnDkJAIepOePGw0Kvn69tAcrav+N03yah8LQnzEg2Gx2/c2vnc91870+iofHRtPuTjFi5gVbajHcXIBBYixW82cHGs8B0CgnGwFjC2NBUlqgXTaLhUTsCqgL0+s8xyKBbD1g1HuXbvG2P+pS4JhkVe9J+1esG1Umlk66ecdwC0DdgHwhUuTAhJ2Hkv/hvLoCo7/blJU0RiSc7iXrA3l4Ar1se2Rgde1mCLQCVStWzz3XnNoeYpM3DnAeebwAdaI493wL4bsHC3Az0//Q/+Y/+Hfn27YOOfY7V7v5vGfCdgAigltgrgdb4qvXbbgug6jmQlCJpis3FNQZc1gxAWHVsDkfhi1rEtgu6kk9+8vGszrhuJTN3vEnQPizprcwAfAx05Hu95eqpi5nHTFLl+V8ipWRO+2CX70QV53Fsx70sIQ4oXT9UHzX9xkceDPH6dZYV9VHmiS3mmeZdAHUgufvg2rclmqTxZ3B4S7f7/Sxlft3vAzJjOJPfx/B2XmApNr+5IHsDzOj2KUnfspO2zT2Hpd28+TC1zbN8711c8lWflYUKC8u5zsPGbQP9Ej9I0VNTuOby5/qN/7cCADB9J1xcSnQnob8yS57fnudY6MDzzUhvW+oX5s0AZv0+wH6rJHReiassE/b1bf/zZwn3bwSgj+/593xolg2gY6ED0QHhfe4EIqC/9sB+w37Y6LbDkldOAHp9XX1a7Yx8ewA68BxI/sw87zn3O/n22/v89ccX7+Wug7sN3G3gbgMf+Jarg9degHu56+BuA3cb+HZvA/zIAtBJfzfBBIa3bBb6BtGfAfS24yXX5KyJUJMzjI7xwHrz8xMgweQ2AZQJL2Ai8HD5ueW5fRgSQPgB8BaTQqBhAiPHo3vLlguCbPnL7XOIqQwMnjJiyq6MfAFysoLK3HGrwwIAss8FQ7evIHaLQOVmpwgEmlBjNgDTBVSxjp5l/iwm1JIguq9bvhKwLWCFEUo+0SLQI2GAbCp2sMAV5s6WfuRLCDAtcMRHt2U8n59YuoC3zkm6VeBzWDHnftQWqg9gJ1Yx4ALzrHIUTMTi58ENrG3h7UyeHhsY+xv7nAzxxS5P/jqp5gUu9T+Z9NbF/ONLDhiMCcmL3H7AKwzkwAPgOMC7fQKCSG8LyijTAFfvPLZvXdeA1dsCrCdjfX2e6wCck3YGsgPTyDtXRwP4HOAAKHx5Xp8g4QDrp51c7PLu4fGjtT9J3bYVeNXG+g3UAboFymCqYqZK/Oh7/12etydRYljsfT9Mx74H6BSYxUDvv8v7/AlAJ4O7gfPa1WagF8QeAP1Hf+GS9Mb8BWZtYJqfOOly4HUBOSxxICogC8O0bQuk1TZrp90v8uJASW2L0gEpbcDogHenzbUeKNr5SY8rH4CsY7EiqA10ryVZDND39svPtkScthkw6jBfyZ9fHtAHiAd2S17RrrCWeWd3Loz5AdqTmD6y7JJyes4klZD/5DteW8cudz8s2NSX1/IBJgPrpx2e55Z9w7B9P/WHD/WLF4/tsHcxxMn01zaVCdsYWz9WNz90/c4kGb37tUtSu2N0PzCsO+9OhtjtDmOchzXWPvUC942UPhuNjiMpo2cF0N0y1/Szvz2fkgaobvSsai+VyzmxpapvSgfayBz7eKJrMz2XLaTOKb50Lsk6laXntvKRPZ82eu5lbXMsBI6cOwY/5nLlaP8C8gG6Y7Xw7tfm3djYZ4LvP/6QTK/8vfN5YI9v9rHiuBRdjtKKd0vPQfu1/fidf+LRjtVVANQA2i8ebYjPtkSuyg/cru46bu/18c5++1/M+KJyBpph00qQ2gkajsFT3H2vji65/aWGIWmuctfetKtL7eLdrz2Sso5EMEZ26/THZNEnCejI8wPl6lOr7+q9PrT+Vjvo/TJs1iMn33iycYtEKPe6uptkmJ//9SspoHMZZ3UMcu7Xe2pZ0mz7kI4LyDEu8o6iutO1dKzuW8eqzkbh5RMPsHwUIQ547nyXdPwBdCYp7DynxioARGA50AmwsgHBLUN+jXd+6Gcur+/KC9TjtYwF27hyA7gALuNPAHPb9+7rE3MXAE8VaTO9N8O541JxMt43XlWmLRsPhGm/3qMD4BxQZp8DoxqI0ztWYi6AqH0dG4C9JdaBxsaRFI2A5xYJA5cf/RnXbg/rZ99fsvjKKxkWy3xLz5Oj9/kq/3O/XwWgbyn3V4HnFuA5K6gtYY0RDoymjNW8pfro2apdtx2rrNb3X3OJtjP/Yp0hsYy6hmd05mgHoN+S4OZnlItYdsxY8owbJUz2Cay1L8Y6H/Ytx+5etx3AbgPllIg2y968SHsZxbIzd9SWSbADYTG8658k2uwFO3yrd1nXf62rX96gOb933y/Fs5M0bj/g7aU8dubF5tCsvSSY7wQR9bGTsfc82fVt1QHbUhAAikuE2WzjPdevzloneUASgLmy56n/m6PyOO87ha/ejfW1m9ld3y/xjcoauzLXs6/Pd8nmu17VjQQl7wX7ihdcAPyZb7et94tECAnTEgBcT9dAst2cTrKDdou5vcusj3HfJPCNStQnHspe2kHlww6vb6w/qV/cDPNnD/T9O8Z34Pn2Qd9y8K/6DhT3fV+H9qD/wWDfDHRA/QbQ6/Mqh3hSY5x/8vbPvQSet35/Bp5jpsc+/y//xv/wDu/zm33++mOM93LXwd0G7jZwt4EPfMvUwWsvwL3cdXC3gbsNfLu3gSYZAejJqsk0L/u3iWm/m6ySSQsw//N//ecvAellCDfZaTJLVq0JEk/gliZdZCK3zLjsepNzQZHtq1eQVNCmfXhcXvLQJ9t8MyUwJEg8mzzPBPvItMmcFozB7CmIooyCMQKwU8bDgNre7YIkAkZN5ptQT+D8MKEncPFjX89yF5wUMMQSatlSboJzLa4DW3ZL0QGysf37HwMlSf6ROj0TfxKzAlWCZcCUgrwYg4AOrOOLHfnWo97VJ9B/y98BFjCxtqdtxxiQ7IBmwF/sWgxC6gOAb17vAkSCxJ1rg+dAn64VM0lwteNgtKgDAfDNggE4qQPAH6YuAHozRXlKA7kH3D5SxhtAH3DjnQfDAqiEKQ6gEogBoNt3JJ7f/ZOLlS4o02/gPOBUuSoPoLbPgH2gedsJ9EgMmPWHhY91XxCIfPaW5AZu+z3g5U89gIfqUiAUm/Vijh7mYvXeJzACk8knOeeRxj0+zBIxeCkDjoHsji1ZA6NVgHYHU7ERaxfYfT1j/M/JuG/wvKX/Clg/M9B7brFSAGHAE6x7bNnOvcHuAbvOvQD28jBXvwD0YbCe6+3Y7dO21UMgbsfFiOk4ffb8to32oJ0ArmtjGMvt3+J+Y/ZiWgNjL5bs8eUGym1Vh8A69wlYukHrbZEwTO0Y5KfegPwtlQd4zk6BygLP7torH3QS1W03vujvfHWOib3fObfv+8VePttgtANAPT9Y2J1rZOsPYOx46pV9wmbrVpaWrrNrA5hXts5xybMfMFRfQ21ge8Wru8vn+90/mWfaMwicxPpm6wAQda6X7ATefiRNYeeTVh/rlZNQo39tG8kc7tNIuL/7J5d8uuB35dG3b1UGsuzaluQY/TfQsn4EcLOTYyRn8drGnu7cWPtjgXGkvLdyQUBu45aeL1YrQAYgaXXee14f0iJZiIXMBdwcD3cgtHenZCbs9QvkPYlWnas2r14o73QdPbeblV+5BZcLQtdPYYFqmyTzp66Piow6mXp968uzTdchoYHChPvDxsB7ad5NJYR8/NFGRnr3PMszPvhf/+XV5wJLJCzpx1t6j8T4771eP9v4IBWUjiHRqvKR62U5cymXpLoAaDre5VvOmUVQ/xmn1ecDrodlW/LkSigECrZQOjEmquzuoT5t1ApePNQbvKcAZdRXOlZ1U7lGXecwTyUvdg2Y0MN2PsAvFuQGdoG7vXOMg8jotu1mSXecQFTHBJwDcjcwDjT03Xiqz+0jvqXK2/ZZIrzjAq37XZtsLNiYs32w1J/B+PZrCUTBcNygM1Y1JmTziQCftt3sSXOMV/mgj/rNSbQFkFa27gtQfcbQpz1u2XbXv/3dycJXH5XVOJ0FU+XeALpr3Pfh2QP9mZUOQG95lQf6BtAl8VVXHV8iRG1CWSVmeIa01VECO0mPtcnaeX1R7Rw7mlIYn21KMcZerAp6LjyLQGDPZc/D2H80HjwWSvp9SSuj1vDm56/+XTmBnZK7Aco7QcV5tiWPREhzBn2QpEkJvsBzIOoGWWsTZMbHnuXYWJHrHiuXkzjTJ1DcexQ4LtlGApbxTdsCxnfS+BzzxZeuua0EcvPbtiV/D/gFFA+jfiXfYFSbU/r0HEgW2ds61iVvf8DyPc+0DVB0qzFgIgO7jZPcT89O184ffIPnxqmsPJrjUMXrnZAay8i2H2UEiQPkzJWZEkZlkXA+jPiTGIKpvlUK1N2uBwz0nhfvFKzzSS559w8ui6Wux5xss9GB/91XFhYAaMoczrNZ5zzpJVF6blv2PhtAB0wDyp/BdP8HnLdgoJNxB5Rv9vleAq0rI2CczzmWPvBcstRW1VNWfWXl2AA67/Pub7GLZ/Y5pjwZ92f2ed7n3/U3/9Zfu8Hz1x9fvJe7Du42cLeBuw184FuqDl57Ae7lroO7Ddxt4DtFxj0QPV8yWfUFCZqsNuFr4jdyWn/wpzNxDTjvs8zgAHPguaUJEqZIQZ4COwJcAldAciz07WUOyCePRu7dwrvwJcm5n/rCY0K5JOmuAMthPgi2mmQDm/lHkqSU2W8y7dg848i576CrQAhfy5GtPmCd4A6m+3MwUSAUgE7CUrBDMECQb6Taf+wRLBZEaX3H3ZNWwdO+S4qo7FPnh22NAcHPlPxqga3tnwwMwgztWgUfMHUsW8odsEAqnQwrQAEbFnC85awlKrS9ehLQIp3rno1P3ZufvwJ3AAU+dYK+W2qUdOMGYSQUtD+fY0AUMKqyAc4vr+DDfAXGAe76H9sbAxwwGnASqNfvFkzyLdlOwnCkt2NRHv/zvpN2bgF8k+ruXO3HFxhAB9zaDHP+0MD+1rV0XGx2nzycSVFjLW8mKuAM4LBljLfUteQE4Le2MKzyE0DFpLzYwQegvTzFD3Dv2rBvJUG4r9tKwH0XSMWM77egKyn3lg2YP0u4Y31tAL1ncgJlSacnLywx4rBBWRgA9wOFtS9sUSBl1+OZu7zFD2hNOUC7JMEPbOZl3NI5Wl8wr2MBYUmpU1FQf90LTPO+A2SBpttPm+w8xrigevu7bveZpDk27AWek0Y+YHXbAN+Bw8qjPj1v2nkMbs+dpIQWADtAXZthu9AxtiQ6uwX9kmQYEuw84tuv69bmsWEB6F1L55AAoQ33X4FQ8uaSIoDQgbuA9FEO0JdU58f2wXcgKY/t7jWAXPsi3X8x+7vG43u+k04GgE91IwuSz/7exYh2Ty5W85M0fvt0DzYzXj+GhQ4Y1n6w/CVytd5zj8mM0U7KffqJA15jPU5/fQBhKg3+4y8OpNGGJfIAojHZ+Ir3Tmu/7lnPIvl+ALZnt/eMxLTeMeP7ejyBjQsoJswzddQaBN6vJJR3HpKutYepm4986WJ/S+Lqv8ZWlbP7U7kr78huf/Bjl9c4C4Txtk8O/e1HYs0khix7BeUC6Pd9+tHzDh7FkxePOtCGx8/9PANkZN2rScI6yhmTbHjY562j3EB6HwBS3TVW7DikeY1DKPkEqAwQf5iz9dNk8AFj5IqxWY0N9PNsP/oPeO5eXaonizG+EzKMQQDmWLsSJ41NsdAHUD9s0VHXKMngqC4pH0WFygMsl4TY2GQr+0hS7Br5C5OVxjQHfjsW2fDNyt5WQVvaXGIr8Ltx0R7HsR0aJaUl3/u+k5C4fZ4B/r0z+W23X/soB9DFsZoXYJAPg3jJ/mJC8skF/PQ74GQD6K5vM887n7E+8FziJXlmY9cNlm8mP/bxlnY3xt7yxTsZgHw7oNz/VAE243yzzvdvYFLg+au80Df7HHhufGvcMkoFZ25wte3D/K4P8c6qv8KOZh/R9569lmG7HtUh40xjER7d7KL6bsw94/Bjq0TBpGdXP98zI6GSgpDFewjruYXvd9fgHSDhxhh+K0tZjP0k3kqmwIRXXl7iEoVbqLQYq+rn9JsSxIDDkpMdb0veSwY279pJ2M3pJAUBybG29W1kx82TqZtNctEB0s3HJDZrp5sNTO3iec625f617b0eu3g/GxsUBZpL9gaeSySVqN76noPKCGSed+1JtOu7pN4te97+HbP39byrj4Q55v1mbW/w2WfbXCxylhoraWLbZLSu+IcE/+5P795Rczvjit6r5jzmx+TajUmB6ZV/bEbefKgXALs3ex/T3X8S+WsnnU+SAQDdNVzJDQfEBqDXL1Lp+IsY6PpRrHDA+WacW5S9MkqG2qoclUNSwE68wlh3jQD0ylJfVj/X9xIDWQIGpne8V4HnAPRn9nny7RFDXnds7V7uOrjbwN0G7jZwt4H3f4vVwWsvwL3cdXC3gbsNfCe0gQD0L/+zz/31WOj5k/EgbwJp0tiEtYmrzGBSbv0u+ImlPlnhb356JmKCPAV3BNCajMsAbyKI/WMyyH9NYJI3pex8XsoFRIDtJOcEJYG2V2DhBFnJ3AkwANwLBpCu5JUtSMC7XRATIC+YSgKQj7sgYucA4gPaZf13fDKLAn9bErOFd7zA3fb5k2kviLHZNf3eEpEds2urziujIBFWCJYE/1A+9YL7guVArvEyfvsrV4BGoELw8Zm9w+9wAliHZQygG1BtgTTAVWw2fqJYK4LLAuQdt4DvBIWPrCk2CHlp8shtizUliDzB6OPLjc24WY1dN+Bve0oDx5T3ksM9jHJAeUEVrN4Bu45sOx/nWN6k2zdTnJQyED12XgB22ztO+2Of2xfDdgCbn/3trwduDuBvu8167HfgOX91xyAF3zF69tu2bfpvmIufejDqMd5dO5Y+6XhGcC5zAAAgAElEQVT1VP2QfybR28In+vLKPSAuQLDzYdR2vkDSPtum4CsgT1BWUJhE+AUSLgWEzYbcCwB9M9C1rxbgeQummP82C71nYq7/xUPWtDK5dokFgscARZLo7Tfg8fEVB14P++kksgBaSUaq09Zhm9fusaC7x5QBWi/hYLOSByA+4C6glyS0ZwAA6Xm4QLXjdQ4M3kAdNnp9zOz74mGDcAWml4S468CSxqjtd4FJiQbdc5Lj1gPLtTkse5LVXVftmAT1MELPc1i5hpF8wEEgunYGJAZmkqHvevVj6hIwzIee/LW+guUB1j+QmWVE5xqA8MjrF2yvzFfCyItHoNZzpS/Sh2BCddyW2hZLCRLT2pZ2VxusrO3b9WAhux6AvXvjuQPaYmDxZgeyt3Tf+gSat6+2oz5InLtvPYs9qxK5JHa1SOzyHPdeAZJ0vK6dvPsA96ctAtEH4A3sPOzrxjTGNY1jei+OdPh5h7SucYKkESoWvZeAxcOA/NFfuJRNgL2jMHASHCSd9b0xDX9z9dUxsMGBVWO3kFz5Z39v3vlZ5RRUBjg3Pqu/2cos7hOP7lEmOeC4PgFr3Lhu3pUvvp60QpUEKAAs6pgBGNqLJI/uD6n5rsu9w3aXDFW91af2vum8vLvrG9R/11QZNnhSfZBw75OqAFsOXsnY3MaAM/74kU8/VFJ+9BeusU/9M9l27E7qQZRLsGBnzPmRL133hOIKxi6wHOPetlQThgl/WPnabGMs415jKBLnPJRZ/WxG6QbCNnC9/boBxxssB+5uYJ03Od/x9sNiN4brO3DsOeHTOAoju/uqztsPSNz3C9T5gYc9UoCIJRBFgi1w3vZbUjiAp/lEAEvl2QA6FreySDTYctwUkTaYvv3AgTvG/dSUGttu1jogaPv/+o2JDwivjrouigDmF8bmgPMNoPe96wGg78/3AtDJ3Hdc9/xiXwe8nuRhSb+12UlKWjYT8+x+4vFMU58YxutR0mEJ0jsXUNh68tn1aZLEZixwlD6Mu3p2qeLoSyTGYaYPwPhTX7iOB8Cs7MD9nWClD5KYi2FvrsHuQ4KAeZu5pz6WvQg5bgCp/sL7yrNbPXreMe/NPSmm1Jdsv3LzSEnYzo+pjl1uDrk91PVT5rDmmOZAMwc9rGmy4/oLydi7nb7KlkHb1KeYh25bhLbtudzJOLU5x+qZHEDzzU9fffeoKR0VOWzwjtUzbBuA88ifH6uR3f/P/OO0Bcn8bMkk1T/PQbfFGQu3DbBftgDLGmB7w3ds82T3hgKDxAoLpS9s+T5rT+ZLGPa1FwlF9XM78UC/BwjXTrTt3TYl8GtPjgPc3gA6EP1VgPlmp+tjAejjgR5IvRKaJD6JTfi95duB+PtdIUEA6O4a+a1vAL32AzyPfb4B9GfwPOa89wj2+Xf/9//oJ2/2+euPKd7LXQd3G7jbwN0GPvAtWQevvQD3ctfB3QbuNvCdxEL/+x/7wj/cXuiCI/zJBJsLdALWWkx0m9g26YntvANeBXned6QjC6JdLHRe2idjX1Y1xjfQXDb/eFofBg9vPMx1vmxkM7GOsH1GIvCc6/JHO2xuYK8A3wQnTzASMD+BixOk7nzVD8Z5QTiMpAIg419ZIOdcZ4Girsl5m6xjogDPm4g22RSs2BNO3nLvJcG3PccK2AmoXQGRD37sAXgfdhZW/xXsOcH/HVAW4CFXOoDPATFaeHBaXgWgS0QYP8LD8hIwGmbWYcVhLAKlgEFAtQFP3/js12X5zrXwBBXIFVC6gKoDzmAjV2cClwKN1Q35boDMZisDiYAbQB6g3PYUJtWOmQ0kwdQNbCaF23ECxDHBscG3jD1QGzjdtoByQLttfMYu77iY693rLcsOQL8keRfwjWnrGgLFBLA2kA8wB56TAudX2Pe2q5zY0OTiAZSY0RIIAnVaD/DfLP36mo7beQDoQMUCstUloGb8lw9T+pKIPkFXTPTNPN9M9A2a80KPde4T89yy/c/30jMN5Bx28bEHUE5JFwWUN4DOZ57ct/qXjKBOSDliqI4c+GH6kssEgLmv1QtAbKsgkHvewDKwV3AQ6IihimkNGPTp2eUV3fZYwvV/At6emR2o71zK1bVhs1duLNjWDah1vM/JVKs30u2AaOzzrq22iyUtcURCSe0J+199Tts+9dO6yti1eD6nr/rIl67rBXBr+9XbllCXWKJNavdk2l0jll7LvPPOs6Ct9+l+b+Ad219Aujp0HLLeGNr6pSsJqOfpMMapRXSOynIlfJQsc+4dv1vg6VYbcGwM+CuhY7WprnWDvBQosJYlyM0zfUDHLRvsee3dxSt3/OQPUxtAcfmfd9zTfqdcn3p4u9dGqeoY1xjnCJQ3phnLgKPS0vmBqcYn3qMYzyNL/pHH9VDR8N6THKae2B94p3Te2mGfFFpa37sPU746rVx9J9Xde2+YaZ/+w8seRaKS65as4hkGbri+9rHvZl5KRhtp+hIrDihGNWMn11UG97VtJUC4r927K6Hkjc9OPxoIEKjOLmjq9bTllmGN/vDD7766ZQ+iHJ3TsSU5AtFrA5WrcU3XJHGQlDBW+yTNnbHipXzwxgN8A5J5hqqjrWwyqhNH2pc9DXshfvDDnl0gHMUc4yXjPkmHvW8A6MZQAIrKDZQFgpFeB6wb+wG7G/NsUGwf237A845X3ZE2b9xkvLTBYiBJx8FklwjQeF/5Bqw+1kQb5CHj2/zAbwBNAAmQZy9/90N/bwCYgBfy7tjXVJww7C87ppOEAIC8LAFOIm3XucfV5ilbAYpn/JaG7z8gOoUtibDAxWf/+Q2g799bvl3yMQn3V/mfs8iq7gDw7pH7SGVBku+2mxoFkjMuZi1QPyARb/dNpMqNBfqv57JnlZqM94n3rvfDttvxDug4k0S0QGwMdko0xhVjPXGS1DDAAfOdd3uIY3QDG8mtYzfPcvoYiUUSziQDYJdPktzHH57kgPDazKXMcIDZ+guJO+aYlcO40hy19kdZrXVk2zH/zRu7V+ylsM4l+3hepz84oPmef+k7nq0MPKu+a58SPLRPfYq2SZXNtvVJrAd20oe23rPXvJhyAbZ2fYjnpW377p4YqwDRJWxI7iJ73rtuJ/CPmtp5B2+p+e1Vvxno7CS6B8/y9Fj77om4R/cKgC7JvPZX+SRcbPAfWF6bknzc77brfLzJqcKZs2+AWb88KlQn6ZTdEABde6x8XQ9JdNLqFDuA4UBqgPn+TsYdgF5/CkAfED0A/Xs+dMm5S6Kgmuddsln0VEa2nL9lS7x3POWpT6tv63rY0wSet2CYK+dOriLdHvv8e3/orS/f8u2vP554L3cd3G3gbgN3G/jAt2wdvPYC3MtdB3cbuNvAdxKIzgs9FvoG0UlqNbEhHcoT2QRXQIUPesBSk6ImSAV7Rmo0hsb3PQB0wHWBkIIFgpkk0jsvOb1Lpu2wpDfra/ulY3xfmdp5YcfyWUA62T6BEBngwOvt403+UABzM87Hdy2P9bzplrSe62hbQDJGUgEWfuUFggU1AMDKAMgHqk/g9AQCZbBPEOCw501qTZybBDdJn0DnBz92MZj4zgty8O2TYCAxoYCX4E7rSc5iqwyr49Q77z3sHAEM9SeZ4JJxP8HrzsNnXYCf1y+wGAOXFO2WrBeckowgsHl5Zh/fUpJ3BQtrF+1f2xT4AZjywybpLhhGBhx7j9wxFqoyA+PIMQdaXQD4YXwCntsOy7z/A/dagMRAr2HHPkm2A9F5xpOH71yY6fbr2AI85NgdB4DNO9rSeuB4x+n5BmA7x74O1zdS0+9+bbYf/+N3H/sBCvsOqMec5+0O6AVyYjlh1vLklJggYWHLuwPhgGy1geqx/bZ/MCDmP/3+f3qxzntGgOf9v8Fzy7P/+WaeP4PotUXqB6Set6x5wHm/yVADEUl9q4+2r/1i8WJCY/wCYN1H9SXpYsqwgNfLguFIcAPt1KtgNVAV8xuAXrmBSID4ub8HPN/ey/UzPMuBiM7p3moLygDU75ySTEhFt14gfdrYAWnJp/ZZWTCZO2/lF8xs6b+OXduTNKC+ANjqtfWY8VhFZOE955PgI4HgqAu08NPmlz5g+EmIIT0ruWKUK8497NjYdZIE5vk8dd96DPL6ZVLylWHaUYD+kXWvfiSbVIbtP++YXTfpafdzVDPe+uKDQV/fEyPx7Ue7xUaX3HQpDGDkH9Zh5QaqbqC+fYdhWB3Hzj3PMJlvHuDzvB5Lh23DANSU+AIEGiDzJMzMOT/67hxbUs30awdE7xiVo2PUvwPQA3D73rhjfDeP7G7jnWljsd3yCtYmj82NMQlZbxLCcy9ePNp++40U/M99efq3jkFt4pI9P+84AHfjKc8rn92uq+237Hz9zfj3HvUVgLt3k36FUoR7BbihdiFBQcIGVYltpwIIqz66Tgk8ygwcu8552jhf4/apf+3aSlYYNuiP/pO5h8M+PPXMKqHnHLA3vuSH2UmhgPVGZWs8QaLbmAbIPmOeA+TwQe++NTbZaiTYnaMe8OI3r2S6FiAhxusk152kiZHFPko3QPMB3N/8/DWumDHI2b7ffW6lI0D6Zn2SnCa53HuJly+1IipE/QbmAskc630HyG3pf+NeNkX9bh9AoHEblmvn36D59j4HqPcfX3DsVAB349KAHYD7ZjRiPxq/jnTwAc83U7Jt+N22vmMHHnf8lm3BtNnk5K83mGwMT6KeshPpdgzWrQ4AQN+S986jTrbfPFByL+7Blmvf/wElu9ZvxEAHoG/wvGUnQnQfjPk9N/opfdulBCLp4xO/Oc+VZ1+y02bb+s+4pP7JexND/VLaWYo7AMf6B+DqMJQPoF1f1jb66G0TIuGHPDYgvHMCFvecT9n8T2q7dYD6zq3v6r/6neoEyHol0L75+av9U3nQxjxv1XdjxG3HoM3pH+qnqE6YZwHNW0b56x+9fdlL2H6Dkq13jt13sC6of9htcCdxUELY655tA/q/58pYl7LD3sbiuet749/K1/tb3WPXz/zvgPwUGoxfXwLOD+PcvZGY3zuzeELvC+B521Ao0D+RcN+Arfm7+Sh1u+3d7lnfrH8J+Rjs3SftiiqDJA3XQO0LiN5viWnOVR+n78Q2x8YWE+mz90d16Dkdu7UT4+h4GP0TSzgM7O1NLg5w+Zl/1995CTB/BtCfJdwB79jnz77oOwmKcshzwv8G0cUs5lqLYxyWesfuvPVj9Wv16+JMxZyyCASeY5xXDgx7Eu6B59jn5Ntv//PXH1O8l7sO7jZwt4G7DXzgW64OXnsB7uWug7sN3G3gO6UNNOFo4vFPv/A7fzsWOil3AWX+5lgHBU6aKJrwYqAX2G1i1+SIpxWZQSBnSxMr0uhbtrLfsqtJ5ZnUAqwLShQMwlQXRC8oUVBofMuOxHiTN8cpaHYxyU92P3b3Bq6xUARDHMckW7D8WfZcME7QDuuc/F6BWMwQPuhbNk8QsHI0Md2+8c/Z9LK5K6OJrGxz+wHQeSEWEGgCzreQv6GAooDzgENHOhaILnDAXxr7XrBVIBGALnkA84ekPoCevPFmuGOJ8MEDtFwg6UlK2IyP6rn/CmABEpyj+r+u8SQFtFTnQPQWnpGA9Ms79UjvY7NjwQjs8WIWWBTsawFs8z5vwUqICR54BQweBvoJPvKmJtEOmN7S8Jfv+ZFc377lLaTVW/ibA7AxbwOrsU6xlIFcgFHHBoQD9Qd4O+dwTmC69R1fGYGYOwmgOmgbZXKdGOzKwF8dOLsZ/FtSu3sSWMZTc3sl80jGUgScb/B8s88B5hs8f2advxf7vEDQ+777By+5UTKpyglAB0wC/2uzgGjtCHtyAssvHoxrzFAAWcswts/xq2N1pt7aFyiLvQyYG2nqk5AgWE4+vH23TyqwF8MU2x8LvGNuOW7sswHUT/vCYsP03pLxAHQJJwC4AWdf/O4ld11/YV371194xnreld1zo+3zE7+ezaP6oB0BAyTAtM57TgJAbX7LtgOBXZc6c70SU67khJNUgUULlMcSx9yrvpWt65R0Udm1lam37kXnOPeajLvjYmB3D6c9qrcj2U8yfOTGz/UUvHa/laelY3Z+Ut3Y8vov3tTAC/fQ88r3ewO1JLGpF1CM8Ox4jslmB8AO6/fIEFefA1hvdnty3ucZ8xwMiN9766gYTMLGW1+8VHX4qg6D+h9/8gKKJQxOwP6wFfsEIk2C308/Avm9b7znJuh9ZNlbMMeo7mCx904lb+96JknmJFxUxtpWY4z6q/Yhd954oD6n/72nJODw36aCoH/UZsjq80IHumtD/NolsU3bTjFmSTRfqiwnUac26f56/sba5qgBSVwCnPXurq75orcM4PQTD6Yfb9zuCe/gFkluAxjF9v/orz2S6RrX/cQjARPIXZ1L1DMOwD4mxw9A57887eb4uM/74yggkGwmfz1jhR/+xeu+VlbJgXM/jurBtNU3vvR17+WjgsSPe7MzqZ9I2hz1ngPishMBPjSOARTtcSL5cIzSzYwGBBqT8kQ21q2Mld/5xyJpMcw3exVgDcDfDHfAbu/M7Xfeug3EYD3ONX3Ph2au8MyY3EAOpmQLgL73LSAHmIhZyvO6skumrW0MQH5UlKqLLf0MhHNvJP6+JJf/vR++tnlm5mP1Kpd70e9n//P9HWD5LOH+KgZ69WReJRm0MbHrkAixLZk8E7XNnm/PRN/nHX7+0x957mv73hGSboxL6o/0icYi+iBJZJjs9jHOH8/0892z7p3neJMk95mvM+H7bu7Sb8ltQNgtr00OHHu+Oqgfx172fuGx3vO81bNqN545/vLPNggShyVfk0T37F4JMydxkxIShjl7gK12wAqkdbWfLb9ujrrnjM+M8BYqZPs/fYB2twFx2+9xrv9b+u27RRusvqrPndDQ764L4M9WoLl492rLt+9P8YTecUDybbPSvSOlLoF7S7hLdqASAJTWv838/SQPAdfN280PxSC2rP4kB5y2J2nTvHUzziUcz7j2SPMDz/ecvvuwpdfFDdr+Sl47Sm0zZz+y7b5Pv3yA881g3/YXzwz0Pvtf3xogvROUgNIAc0lNEpueAXR9+vZzB45v+4BXLZt9npJGfVrXRL79s7/ymQHQA8gr5yXdvt4FleMZQP9vv++D/9kNnr/+eOK93HVwt4G7Ddxt4APfknXw2gtwL3cd3G3gbgPfSW2giQcv9C3l3sSmiWuTm8m+PsxwE8rNPm/y09LEBoDe5AwzczNtyK7zriNV98wqxz4HuE8A9LDWx1/uMIQFiuzLk25Lk2NEYy9jnGPgkK7sN9Y3GUtlJDcvUDtA+keWX1qT8/NJYt7knRdjvwVbCopsIH17ozdZlHCAbYQxb/I9x1iSbTwtLdjlAtYSAMi37sB+2zV577fgGh9BwHb/T72fQPCWDiQBKgGhulTnF2swhv6RuAWc80XGSBW4wxwEgHTtHRvQLTgKQO9+jZ/p8Vvv2gT2SfR173aQqfruOAXjOw4QhNQiAAcTkk8kwAHoR6IZEBWwhe292eHDvF7AOgCZJDpJd7LngHiAd4B4S+sA0NjjAdPAbSxwXoRtDwTHGAKOY6v2HQiLrdtv8tVbBt62gHEs+y1fyMudpPtmzGO5AjhdHw9qgC1wnvcyr02e2Dx2sQVJ61I8GIbgYfsITgJftt+5ZQPo3yxwXgCIDGHtqnajXJilABmy8wLXWPPaD5uAAd4POC15QIC4/3jbA2/JkwN9q8+26/+eIT70vNSB147b7/blQ4/NinlLglV5Ox5lCuz56S8OGMp7fvtpt60kFEF1xwXG238kj49ke2UeBvxbDza/Ou0YBS0xyvs+5Tge55IOqoPqBCDdMWuP6rZ9sYMlbgDQgek9I6PskP/pSToZkPrF43zbskFbVWbJQNQa5vs7X71Abuz8zZaWLOI5AGJPAP5jj3s0ct+/+scv3YPubetdJzl/SQpAinmmj6y3+9o2gAyKDtj+laNtu07s5A3UYzqTbr/8bs95KQ8A0jtmgA7LldpB/e5WkQC+kmrveQWEkd6WmDVy44fB7NnT71d27Mr2GZD3zc9fDPRhmh9mWWMdbfOZ+SZ4DtRun945w1o83tqTsHaAOuov481tPHHabs8K+V7tn7VK1wOYGvD9zU9POQIUauONsSpnYFvvr50E0bW638OM9m46yRu7n5HwArSa3wc81490/u45YI3/sDK33r32rpZkpp10LwFIHb/3V5+VvXrjxd511Ae3zthgmKGHjdf97X9Jcp1vku1+7gGuUwqafue0RaCVvociDjaydzo/de8S6iGk9yuD5BUgPkUkYwPLsNjP/Z3380e+dCUSSsQEoBnP8SGnhKPt9NlYjyQzlndjQ+MhiZ/baxxYBtzGojYG7bd22XEkIBortk3t2vgXcP++w2rt/ajsGK7Yla337jSeJRkNdGmO0Hg1IIUcL1AlsGSzFDFegeaYkpvxjQ3ctV8g6A//4lXn5P37LYEAyLmZ5xjcXTdfeCBg/wNVXTsw1dh9y7I/s9A3aL4BzO2J/gygP4PnAHTgefdB4q3rwILezwPFDu8K/Y9EH33IvI9XwqikvdZhebc0rtQXjp3RiweY7n3jOyWNkW4/bPAB0g8YuRfj/j6B8dunfBSljupT/TFFnfouzHbvq/oEtlqUIXisx2o2ztcvY3F7TtyrrQpBWWEnqWxAnXy++Y4kXwnHbCe2bYC2Knmm90fHqn2z4tLGtZ09f/Fc7AXgrV3t/fb+rsW4Fmj+DJjX3vZYt/Udc+aR556y8Bibko8/3n2ej9po17kTJnwC01t6z46N0ye+Mu0DeE4Fz7tZPGDL23f8DZhLDqImsX3iscL1b2zixA4knrBp2ckfJOYB/6yWmsf0Xus/xIDumaR2ihXm/WIP7Dx2Mov2Yh4uaYC1HRn0Vy2A5ueEo1cxzoHopNxfkm9fYLp+e6uHbF90Cf3bBx3Q/uyB3mf1Ursi3945dgyJ//m/A6Af1vleAs/Jtwegv+442r3cdXC3gbsN3G3gbgPv/xatg9degHu56+BuA3cb+E72QufZVvC2wCVwvAlyE7wmdDsrm7xo2zSJEvAhyYgNg03TZ+fgzWdyyMeOzzjgk5w7tjdJQiAvBnXHkb2+PcPaf7PcMd+bwI7k4WGoY54ILGL2mNQKxPC9VP5hSf3k5+a8TYJN6oH12OiCdzLgt1cdMP19J3BjvYxuk+4WcpYmy000R7Lz+x5BnMsv78jWF/CVkFDgGZMDSGbB6B/P5gNIkoCuPrHwL3/FI5WHGSFB4vJAPx73E6w+bFvAjKAZuVnACnlugfrKNOyxwwopyOT+FaQqsLUDh3MNb3z2YtBj2Iyv8CceoIrAU/WNAVagh1SjhIrti06aFwOVlDOJbsDXBuGwsoHd/t/s8g0qA6QB5LzHMdc3q/bZG73FsVvXfgNKv3gE8i38ygGqAW6d1/6tH4/cX/3jCzzv3MBGgDg/9rnGw+r1n+tzTj7xmOf8iLc/9QCEB/iszrH0eYbXbgYcOkAt8I/kpiSZvrt//a7NANC3x7mAqUD0X8Q4fwbQBbSfAXRgDbAJeEoGmBQ0xleAH5/Q7TcqoWAD5YLJA0q/eASl247KgSAzT3Ay5JjdZCb5iVaWtt3JIGTHpz2eAPqWyyezCqwmmY7tTIJSEgAAz/V2L9XB5Y1+tiM537GoItRWMFu3zz258tqVhBtJANhrGNdAbwzx3cb5lmOCT5IDMOEklvQJDJesQNqcrDqP6/63AJE3E7vnybn4tpMXl2zAk/a6L+989aproDp5dv7frQdeenb0U5I3AJ36VwkJEif0Kz1/7usGYSVCbDUI7YXNhWu7ZNRPW5WgQPrfPSQl3HaSTgD4fLQpG1SG/gO4X+DlUTTZ7H4y8qwHPI/t0zVsD/RA3AL0f/hHfzTv8Np+AXEAeu+N7l3vzN6Bw4w+zDGMNuoo9TWNX37tN359jtfS91hVY9Fw/E0rX+/cqaNjGTJA9ZGlB9h3rI5BTadjVS6Jib2L9YXVbdc7nyfhpAUz3Tuqz+6ZbSUNVDa2BvoafYc+t+N2rMpW/bZ/dcpzHeO189QPUAepTXW86ruxHwYmaefqAIAsqa5n2DirutZnzPv4o7829wyjnb916zrG9kuvvG03HuRnHQn4FtLumLqsN0b2+s2HRD5/4xICjOWA+WTmxxongPITv3klXXb/hul4xoLAWzLhWxbcu6pte0cZ/0lUBMBIQg2QwGIFoBqLAXSNy4wzjREHND/gkvEae6WOhyXJJijQpbEp1nPrNnhO2toYtncoEG4z0cmxkxeOhdhYduR6v/9HLs/bzTS3AIaAmNjBm6VrLGgc7xov9aejytS2jRFInwP9XL//bUthyVi942/2/bMs+7P/+asAdN8x0KuPwHPA+asA9LapXoxZnqXrtbUWCaXaKRWp2nfPuzH/JK+tflS/MbYh5z0L/AYo6iMkRz1LvW/Q8fp9bCusk+AJTOWLPopXR6FpA+QUMkZ6/fiV17f0vbln/7eeYgYlgtqB5OXqST8tMVmSx75/kjRa3J/tOU81wrM0c7kPfuwh0Z6ayFFw4NXtPXGBuT/+6Zfmf1taHZDdEoC9PzcD3PK8/i9anse0z+scy3i3dte6nuGuQ+IE1rlkNYkb+rP6sOpvQPEl2+6+b/l2lnAdv+9s48QVyO1jZGOPt/0khx9LtumXT4LLVpIzDycn3n7iBTtOsJUbtNUN9LuGZzZ976bOwapig8+bLc5HvDJsOXj1KNmlOuuYEvf3WMN1PIPTr1LskHD0LOG+AXaA+v7cADrwHCOdhcH2QAegt7Cf217vyrtVRurX+h+AHnhOvn0D570TNnDu95Zv/66/+bf+2uuOo93LXQd3G7jbwN0G7jbw/m/ROnjtBbiXuw7uNnC3ge90L/Qma01oClJiPZFX58d1Sep95rculnqBAywKmc1NwgtSALGaYMUEGC+vH//0S5LtQJxZsX4AACAASURBVPSdEd42ne+SOnv7wdgisyYobv/Kx0MTa6KJpwAmENsi+Ih9wiNSkLzjXQGCH3vIzMta73uTXCD6AMZk6dc5HFNAZ7NmBCF5110yj9/3YERs38UWk1oL5rlAquAQBu74hjdhf/GQhjZhde+GaZaE7duPoAEG6wae+CRi9gpICEptH8bKLUgl4QEQ3bn4sGKaYcFhhV7g0WG/OO/27ASQ9rvAVvXkHgwo9NYXH2DrCUhIEhh/2h/9hcvHD4A6YMQJtPKPx2LivUvCdhjOx1O4QB0AvbL334ARB2QKkCrIwi8d8xz4CZjm/Q7EwkQHmGOyB6bzdgYAAuit71OQq7L0H+AOs/0CH9/9kzkvRnrr+UEHrvM873eBotaP3/IBt0ljj4LAu38ygNrl2X2uR2LBJAKchIHWjfTzi999Sc46wCWQzDrsR2AZNmXfNxOVtP8Okm9wQrvcHuc9bwUJvxFo/sw4fxV4DkAvKNQz1rMEoARYTtt+64sXcA2YBhZq75jM22saoGQ/4KYECUysLS0JqOw/IDmp1doEIJYigXbpnmIrA9+UCRDbcTFasebbVjldE5YbEBQYzTvZ/oDWti1oWRvBdldnyjGs58Pm1cYkKFBQoFaAia1eyaoL7lNPwM4bNYgjc618Hafr5bXOp77v1ZUEIXVVHQGte2+xbZBUA3RwDmA8Znhle/ZL7xjjF376lY7XNfVfbajrxrYeL+tjEyBpoe1J647qyEla2hL6guLqmDpG7z9t9WLSH7l89eGap12989Wrr3T8jj3+67/0+9czDIhtwT4fBYnjd465DAwdv+/DJN+s4Uu94ABBk0hwEm3I/gPzhzkdwH0YboHo3ocF66u3yuh3988z1buyZ1vCH3CkIHDvQu+7xkv/6s/+7FoCvRtL1U5rKwMKn3sw9XjAbu2upTqpr+24jZXah6xtn/VD9WUjK76sLPQn+srpHw5wRsrds0zinOzyBsmGgX3UFUYev3fykZmvPUxizrETYPsi4a33QHUjAa1r6z4ae1SPXVd9bvuNksRbX3wA3m989vJO7rjV57z3P/ixeW933NoGv9jLQuckR2KGY0NiygPXJFnVfiRGNj7qs+2xxz3XAzKeMQ+ArO+9Z0Zt5LRFTFdjpY7T+wfQA0BvrGTssiXcMdGxviV4STRg2dP4sPeZeml9dQII3IzZFu8+5/JOBH4Ys1XG2plxpnExL3UM3JYZa50xbOMnSZ6ASP7ItdG2D1SJVTgAzHf9nQskB5QDRoArWNb9Bl5uWfQN5mOHU5EhwW0MvtmoXc+u+83+Bbq7fskIgLgNtu6Egc0s3fL5lc/yzCB+XgDqXfcG0DeI3hijZAPs4sYvkiwAVOY4wPParT5h7G3O97E7SHr75x7zpJ3UQ/pcAkvPuTFEfYHEmi3J7r0n8Q/znMQ1ti6VFGONec///K/PORsjj5LIJ//59BGVh62KPpdtxiS5nPlhzx/FhBbKAv2nXe72KdkCOM4Cq0/Aeb/dr1d5gm8bAwkb29N8s92prfX98oL+8UfCtme0ZTPAAePd75aeI98xwm1jTPoMqj//B3h3/H2u53W+e36bu858fwHeEh0maWglGPGKl5BaG9xJElvCXxvavufs4CRNSJJq0QaAycBzKhkS3j2rm40O3G97+2N2z/z8xA0klZOmZzHgveg/zHPtW4xh5vVP4LPkIV7lnbvrAcSzSfPOk3DqXTZt6s2HJPzETE6C/5ZUJxU/nuHa9AHDgeTPEu7PIPpmnis/T/QNoD+fV4LAqyTlbSsha8u3tzQukijR98Dz3gUbPK/O+qRWYglAxz6/5dtffwzxXu46uNvA3QbuNvCBb9k6eO0FuJe7Du42cLeB78Q2kIz7ZqE36W9S2yQWgE72zP9NcvsuCN36JkZk3Jt09VngQZCqCXaTqQLZTW4x3YfN/eFPznk65nifxyqOCXTAcvJqQOuL6XNAYNnk/Yd1zDPNZHr7pAuC+d13k9TNJB+Z0AMcV9YB6998ALY7aINhJGt8PNGPpPueZD4D6OQum3BiRO9gnHUj1bkmuTLBBdKUe0tXFnCufFfGffV9AlV8Scm6Y6YLBJNZBmy08D6X4a8eN4h+eZUHLh32fsEBcpGCbDsoEUiEdYlx2Of2JwVuUw3oXOTYSeJhgWAnA19IyVeG9t0gumCsoOoG0XlnkwcHUgCPgF88nbecJUDaJ1YN1ibJd77iwHFgddtXH+TRsdoDKcim72O3Hgu0e9j9bb1zkGHuvIB1zHJe2EC78cRu/S/9/hXoah9gHXYi1i9PaABEZeycJOsFUUf2c8ldTwD2JDsABPkwD7vvqApIXnBf+JlLzPFbIL1nC1DumRLYc8//Iqb5XwScbwC9wGN9w8gzH8augPXF3lwMejLDJM+rP6wvbOjtLU3uXZC6eyLIXP2TKgeubx9QAWtB7H67Hxfg/s5XX0p66B5sP+7uIblw3slzvsOWuZQEFvB8eScfiWdl98z8v+z90et+633m9/0FPctJCAQSSsGQnpSUCEpLTjqGIErJxAMm1MiZsaEOM4zjzsZqRkI7tmbYe7yRjTT8HNnblbZkaY80syNnoxZLaU0NtmvsQZ7WFHIwpQxz0OP0pEfT8v5879fSZy9/f1ueofCzpOdgsZ5nPetZ6173ute97vtzfa7r+ukFrmtTF+h3QFuJKsDp9uHpLgFl6vyc8wLGD9hL4aH2XJkxRQXz+z+QgK1C/9my+pJI1NOVXHCY9ZWr6+r36atKFDjqHYB8Fg/9z7Vhn19A+VKiwJin4jCy8Ic1XP1sH3kMdkoBkp+URRvUPoDflYH/df2iZAvl0f+7N0DwrhmI717VlrHvAcPbf10iBKngYcS/+f7FXvaeucCe099iHPe565jfTxJT/YLroHLg2SO7PQzoTz/1LcDpgHMS7kDpnt2OxYtVEL97LLDevTNGaVxwjRV+4ekd37sQgL4Z6B0fC742wWLBu1Z9bAuF6qVxRn1a18I+p/L17q+fm3fd537nUrPoWr1neya27QGv+fp659ceqqfxZk86/YBhytrzQe5d8pt3OOUYFh2dR7LBSNl//MmnvjL2zk0av6W+uX575J2/8O3pu9ipaIetG0NtiWNjispbObpnG2jgJz+A+WkX13VVLwfYZ63DDqb/d0/Vb9ciuaP/XHY4r3/16ZqO/RCVBO8mKgrAvbzfjYGMm7qOLRsOBMaSZTEE+AYGYXxvv2as445LUafxoncesFyCB79sIEf7di+AM/Y1TgU2tl8gS4Banzsnz3OgJCb2ZtFezNVP/r0BboA3rdvWb4Ehjo1tDtSpnd8BdD64yr4T5FpTI+AHLsECkGZcjJGPaU4hiwUSAM49cC73Y1/3SLwfsHyzme/S7hj0dxZ6awD6nX1uAaDaH3vZHGau7yhOaYtsK+r7aveSD3tuzOFmrH+Y3djpEmcAnfVHxjW1755PyXYpCWHrGlMYGxs7pujRsyX5q/6A7QxP9voJ/dbM/U5fby5lPsbiAHAt0WMnhOykBveFnPaoPXxIcsNmnKvr9qE+ADw3/yEVX51WTipoLb0T2t622qB+bFSQ/srPXe27tn8fY0qc2G3gZWNPn/dYFYj+svX+vMFz26rvmRseqfbtWU8hBeDLKkkieGPs6moztll27WPpb9UX1RfJapME/+L9K1m9fbacOca5ebu5qGfUc3FZG5y+mKc6+xUqa8bIkj62V3tlwTpnVdW7tGu/bDQO+1vfdXmTH7lz9i/b911SufgGCxLl7RpJzgPPt6T6PgfQ+85CB1xvKffdFyM7WG+FO/Zwm1G/Pdfvku13qXfsdLYcta3abEB597rxUWOmkqwA6BKtMM7ZdwDW8z//Sz/+1995sM9ffdzwsTzq4NEGHm3g0QY++he+Dl55AR7Low4ebeDRBn4Q20AyWFjoP/WL7/xfA1qB6E1wZNE3kWsS2yS0yW1rfmX91iSpAFABn5Ha+k//i5mUY9kIcmB7k7vDMO+Yc64joUn6HBDLL3QCnl/7w8vv3AQbW/2SLQ9sP9JnAGYBsspU+fgnmoxjK7RPZSh47fwCJcoOPOe3DsAXtDTx3b7hBfecu2BMAZVhFr323eCPCev+fF/aV+CAv17fyYpiSY03a5Pz4z1Pjv4DcvwHSC8ogmVJVpikbmAyNtWWxsPowXLCBHLezoctS1ZWcA6IDrQf6brPfOu7MpMHxOk4GMaBCtVt5xFMxDDinds5C8I4P8/SSXI4Pu4YU7yvBeux6IGy471+GM/qAnNQYgFwqGscud5kjgtM3ljl2NaY45f3+WECk2ovMEkK3TH4lm+pdoA7wDCwK+C6Og30Bjy2DRAiALSPXzBnmKuf++1LHh7I03H6D+lp8tNAQduxnAGwpLe7f5QGSA3z2dyAqjbW/ZMgg5kI7AC0CEa6byTZJVQAz1u7xy8DzP884PnLpNut+x27VKLFgLyHeQ5w9kxdz9fxx+w/PZP80cmbC1gCIUmmUzqg2sAvW/sCvHYfup8ClgAv0qsUAXiOS5ypnQHtsU35qPeMkv6WCOO7BBgM5309+/j2AcKRP8ZclmThHCON/Nnfv5JTALcAd0xqgLC6aV/PBBZd9enZw4za8uQ8VgX8B2j/zT+a4wiuVh5MYu1XvZI7lwjheSH1ThpeAs4kqwSKn2SWSaQ4gDUA3jMGCHW9kgh2+1JvwEv2GZ6/9geSu1880AHoY6dwmNsSAKiDbEl/Ut5btt29HUDxMMCHGf3i6V5c0sGnfJVnJPwD3Y+EvOdCco2EE8+K5BTMdd6hVEg6fvv3e9ffNh7jgef1aY1bCuJSuun/guTkXSXmYUJerLU3noDL/mdcVAAYcN54qOP3ud8qY22i42gPBdG3bUP3fpIST99NupYKDnnb+qneT23H9p9+4I33np7FGKiL6c9uxLu3tszuQRIEb2EKEdpZ9+ZKdvv1J4Bty5VXr+0zINhJUBuv+JIOu1enTVSmwHPX1bu7PplikP4cMF9d9U6XFNXv9f2SkHigd9+7Px2/dwc2eeft/TFjjTO2sa+x2VjRfOKJsbuVizpHZZA4MUo4rz/JtkvqIhnf75WL5/ooNpwkjo4haZNs8zDTD8PbWA+gDojaY2Vr8tEDtC8bnWmPr70577nNhLb0/8akGwzGiiRDblxce65db4AGGNT+1H4AxpLR2m97r7cGxAE9mhcARcj9bql2jHMA5gaj2UAB6Y2LJQgYQ7dIaDUe7nraT31tm5ct1S5pAYi+75F6q16A6H3eia/KrF6Vu7XPd9/z/bl6uAPodwY6xjB/a4BwS9faNfW89By0SECaRKk33pu2Sb1Lsh/7i60kY4xRn8CXuuV65o98OusPiXHtS2WiZ6ftQHkJST2HxhIjFf/i/ZlHGaNXbmoNkhg8DztpQNsFHGr7Fm12bzeX2vekNaa5pFp1vBMVAOiToHGSbvYcqnlw31tLAGfzJYkbeO687KS6r3ew/MOW2om2sj/fgfbNYH9uXPvcOLfnsPsI+DbeojggoYJ3t3enZ0eSatcNcAegA857B9g2IPKL9+c9TMqdBVtLx8YQp35Hzrz3qrmfd3DtZfuNm6taHI/EPquU2qmy3u0FfG4ONGX82h9eZdOmNnhuEUeYuMZJ5GJ7h7lukeCizfBE38x5ijd3cLoFCx0TvfLcmeabcb63b7/x6/NRuNsqDRust2w2/C4Hxv21/0/87LT12mJttBiPhAns8/bHQKdM4h2Bkd4SgE6+PfvBVx07eyyPOni0gUcbeLSBRxv40b/AdfDKC/BYHnXwaAOPNvCD2AaSwcJCD0Rv0oaJTsa9LGFgd5OefmtpEgRkb7JjIl/Wc5Mv8oObpez4Jr6AZ8xunzG8BFh4oI8n2vHmBr43wTb5xlL322ZO36UZfRek2X6K/i8AxYtNZrjgCN9F1+H4Jr5kN8k+ytjespBb0r1JZ5+fk2wX4BQ4A4wDHgcwOCAGRnbBbIFXsqRdh2x40noDHh1QSiC9YHABYtLsu04FZgWC7wD6nC+WwgG7Oj4gkFw0sLbPGCzjYfvWNy95YP7rBaF4DlaezbYa+c6YYocVVlCkewb8HmbOuf4dTCeLSRpzpAjXgsU/68NKb72Zf9jT2KnAdUwcAHkgEvCMpDkpdkEaoHqM7+qmuvKZrDrGOVY6ZmhAYcfHQAeGYYwPQ/CwlzsWNv1mWQLLWre98pFqxh4ChnbszSa+PIsD2g6QBQADprZ/96i20DW3jVQ+6XwJGnxIr/u+fCO3HPsOTpOR3Z//VYDzPw94vgH0CZoeuwAJHBiggG5Ba+sJbh9/5+oA8EhGuYAhGWWJCMPKPj7PGMUY2fzPgXDDFDvexu47wNrzDVAbieYFPF8g7vEFd38Bqd0/kq/a0AXcHi/kfiNJfnmYn/ZFens/Mz5jZpPDt3/l5BsPPBzFBAzsF0/H8QzUviR9dMyCl9WL6+4z9pw2PxYHPR8vngDvDRpUhz2j3SOM+0uK/SgJ8F7u2ex5DPgnkXt5lL/zneu+uZZ+wwi2H2AeoO++A+bbr2us/5DYQNJ7jv3Ge1fSD8C7a5PgIHFCgsAkLxyWff/rOrGj7UN2vz4Pu59qxLDiT3vBqO9z+3Zcsv5k97Ub4O1mVEtY2nYc3nPDJsu798UfXIxL4Ln+hpw5dmP1Ol7if/xPLza04H1Lx9FvjsrCAa4n4ezIvnrnU1+RmDeA+X/zXfl2LHdgyiTIvPHlOW5llpgkaK//n2f0JHb0niVpW7l4wn7kr/zcvGP5HKsrdTr3/1Nff7IlOM8PtQHgPasO7PPOx+O89tYzCASe/v7zR1b5rd+asnunUSXwLA7AfZIZKBJIlOk6eM/vBMH6db7upOIlTUmWwuaWTANokTgJQO/8Y9VyxgGVozrrXvYMkPyed8vxNTdGqb2QtO5712m8QN1m9s9W5jAvtUsgZe1p+qE337/UlVj3kGvHPjf2AxSSfN/JYvy2e88Bgj+gxPSpt59AjnO87QuOZQ0cN07Dwu24jSOpJ9RO7yxCoPAGsjHevWM7btfWPQwU3OzG5gxAEWBP4A0wGHDp+BuIBn467wbpJQoA0AFpkxiRN/0ZQ/A2b6zYfcBMbzGm2AC65FpeytVHdeNe7QUoW30CRe9WTFvlaLOcN4Datuprg+YbFN0Auv/0f2B+C5lq4LnxlLbKdsIcRrKsRKaeX4ky3oE9r/alOMYay/96//TO0ddSI5P8g/XuvKOQtVQZzP/Ut/rXVs2BtEH3/g5W7jp/Tvrf73tfa/dg72eMSdGIqhbbiPrm6rPrbOmaq6P6SeOW+uBJvv1bT0lAO6GTJcIeQz7HOr8D5/f1/fNe7qz158a3m3XePQDuXmDvAbkt5omUh6oHzz/wvPoy3pSwuD3D97HNPXu3TZLGGScBzLVZSU6jALfk2/f8vba1ZfupFGw7DYC/BHvS7RjolaFzGedJUFbusWKpf/n4l+Z4WxVut8fm6JWv949xKOY+NjsLBfNU11m5ht3fnPeMM0jE3/vnzfDegPcdON+gufJuAH1ba+yYw5Zyv8uzPyfnvpcNoHcMiSKdg01O7+a8z//Gz/5vZn/l6J3Rtr6z+gCeb/n2v/Gf/fx/71XHzh7Low4ebeDRBh5t4NEGfvQvcB288gI8lkcdPNrAow38oLaBJiOx0APRf/Ln3/rnWNYB4wHmfRYALDDW0kSWl1UBhCZMTZIEgkzSBEg3c5k0Gam7Jo6+FxhtTRodMC1wDlDHQO+zoMbFOD6BGsEl8ukCNFu6XQCt3zHGAcFAegw3kvKTwX4k5oDtAPPK3mflE2gw4Ze5fffpAwjz5TOZFVD8yF/5uWtyO4D/z3z2Cr4OE+8zT3L7Tdqx/QSxBlg+9bFlS8nwz+fkGT/3BGwMSPq5p0BQwWesHVKKBYeAnKQ0LZsNfp37zfcvWVnnCMAByAruByCQJ+YLK0AnoC4whfWgXN3zAjCASF6mlaX/YJwJ8vNGxVLerBPALfYb0B7LZ8sN+ywIOYHLw4YFlAdMFGwMQCEf3faAtoCm1jHPMUUxwcm7k1NURx0HwF5AE7uweiRxi1EuyFn9A2wkNeyAFWAMACfwI0mg/xdoAoQBEEmWA9EAw8PSPd62EjFI7XYfSKdWp5j/LcBy680qB4zzL98ekh/GNK8PetnnDwPQX8Y6vwcnewaBrbv+tyS238m6846+fKnPsyEIO8yVrzwxzgHmEiiAwN0fAD3GOIAOEMxaoO8YRbXBLa1Ohnw/k8ohqM4/WbIIKXEss9oG9uqoXmgLB3DHztxJOtjwA7ye36sTyTYDuh/AeftrX7KySy5+2yN47lp4TgPLAf+AS/0Plq57IDmFJHr7ex4ADyTbMaKpPrBo2D7nAP7xdz3ANWnT1tQD2o6p3v/aXxsYIP3I3rfu+Z7khvxID4B+JRS8+ZTgQ0nE/do+1hj1na+ydY1da2XBHMdOJ+VPcQCIr38AVJNZ9z/S7hJquvbWWPtdmz6jBVDJ451dS/fl8vg9Htub5eyaRyXkKF1ob33u/gfiAtCBHzHFOye7Ciw7SVe983tfto0UdO/tgr/9N9D8v/t//3cfWDaY3r25ZPrPc1O7G5bnaQeNoernsd6qeyytgvmCzo0FxrbkE1++ZOolp2zP4+qIl7y+GyuUFzqp9uqVYgULAe2t/qdzTyLPGU9UnpF4X8kYm3nt/bftGKpr/vPDOovt/BM/O8FzbDNjmt4BjaMwG1tIPM/zepixkhtJy/O5b7zVdQNwGodI9pMISNFmZNlPn1J/K8Fj6qQEvL/1axd7d8Y8Zww69/PdP7ksEiQ0VAetgSF8yr3HJBluAB0AJDERk5oqkrEzEMg+fNVZ52Cs3+XGG1cb/0rCNKYE9vATBowYe/KFDpjEOgQ8tgzACXxZYEysQsxC4EhJtfyVgZlY7gBMgM2WQ2/pPa9MkhF2UuwFJL/+lOApCWF7o6tX4DqAfcvmt/8G5bblEnuYnaigfHfwfAPottv3zkAPXHpOuv3OKJZ00DEkrW71pdqyxFUsWfOilv2czBj8jDdG7eMoSlCskKBifkb6uvlg2ykvXIm6b7x32WF0LslGY3lw5lralzlP99jcZ7PF1RPgb6sUaHeSLzZ7XN3c61vSwcuSGrQ7z4TymQPMPOLmcY49XJ0Al431JDFRQ6htbNuozTr/l2WfPweif9hyb0ebld738Tr/5W98gGG+QW4AOACYuoj5NWl7Y/H6PeOafYwPsNG/8pSgITFjAPSzz7Zkq9813+645tcSLu5e9/vzfr5ZqrX02Tlq/5RHvJsbGzUPA5xjzLeMQtqnvzbvo8t3/PiNa5+1b8/cB+oyBagzzwLaj2JJiVenLVEs8Nxthbd5P7z25p/xGG+ZJKXNGD9JTMDz/R3LfP/m90vC/bDQu57thV7CC9CedPv2P1eu9rdPZeLDXnsrbgQ8bxzwi5/+9L/wrmgs0Ln73Njqf/e5t/5Fv7f0WwD6x15765sB6KkmPgD0Vx83fCyPOni0gUcbeLSBj/6FroNXXoDH8qiDRxt4tIEfZBZ6klj/5Td+/68l475l1gUNmkA1YWo9spN/+3MzCWoy1NJ+TcSauJNyb0LURKyggWxqLHSsLoCz8wlYA5+btPLH433ahBMrHftcwGYD5wJkLU3otj8aAF1Q04RwZFqP1FsT3CbaXVvBA5KhAipk4WS3d0wTaL7sgu6k4k32BZBMfjeAjmUjmLi3NUl1DQI12IYFN8jO7uDWMNSPNOX2h+y6Jrv+eKEDsviQbilzwe0CdYK4svy3hDuZTEwwsr1YcoAu/ti8sUmKkw2egN8B0vtf543Nccl5H694PvASLro/APyRgj/AzMXgOixhddA92Azmu382aU9SswLvgHR+r90L5QX4AerIl2Oati1meaAJNvkGy4FosViBagWYRmL4H/6TC7wq4FPbxxoElgC5MQ+BG/zOebZidVbX1RlAyv0iA0oStP90jPZx/fyH3esABh7lFAuGXX6W2o3AW/W6JfQxy7F1ur/AcgA5wPx7sco/7PO/DHD+Mvb5Dkp2nRvQ2+xzrC1A9E4OwbrlI09WGSumz/V32+c84Aar3/NDMn1AywMs8xoFGo9c+AEygc6ChtuGANO5Y5F/Zq2A3eu//kfqEuOUtLR2xxO8sgH0eWMD7DzvGK5XItBh729Qley4cg6jOVbd6TcA4Fi/WPaSTnhOA6Qt21+8Z1E9ARSxd/tf9RDD3HXOc3YA9e0fPiDwZ58C7D3jG5TmaU4dANDqGNrTlr/H7qXg4Z6MP/wB0qe87/7pEwh+5NLnfO9855INH2WA33jql7SDru/ugQ7871okOkkIkpzjvgIjyb9LXpgEigVqO2fLqIR8+kk1RBLJKKWcpC8+07zPJeu0rjxA4/43ffu5H/WPHQNgVN8JxG1pTFMQv6XzbWuR7XXd2rtcAL9xz8uA8/u2QPZ5Z338S1cCAjZfdYOhB8APoB4g9pNfnDYNZKgtF4iu3xwp4XNPau/Vz4Abr3/1ev6mfz+ArufVs1ZbYR3g2cC+3vuN9PI//CdPCRqBIyd5R//Sf7eVSf+pvVSmygtgZ2PQuK/6bnzUdUyg/B99+wJr+WLX/+uPey90fbVP0smNW0hXN9YBvgDwAIZ8nr3rjVmAjnzmRzq3pKR3/2S2TyLA6199Yr9/8otPoOHHvzTH1c92/ZMsdcaiEgWNMxqXklAfsPUkiVHN6d2HoS4Rcyd2shSSSFYZKA419m6sDCQHZBjf+k76l/zvXR7dWLTfjZGxvduHR3nvYuA76el+635Jguj+ATsvb94DzvgPABRgeffZ7Zybcdy6a98S3ZulXNldt+ROz657TYGq+7995IHld/bzlrvfgHn/A/ZKiqidDtv/xmze4Oz+reUO+G4P9H/7X//X/gyYjoGOhY79LmGVSlJtawD1j3/pUvPiG72VHhnCmAAAIABJREFUFIzTqiNWJBKYWBtQlBhP8mNP1XPX8cw9Ot+oRXz8SzMm3ux99bcVtrQ/93YD4Lt91Mc9t2g76mGzfnf97rZj0aaek9DXrndSwlbaojhGpr7+K0CUBUf9Ru91YwWWD9pN173Lfh9PfhiQ/q8Cmn8YmC4Zo8+T6PLL35i+szFH7yae9r2PAOrW5tkstYzhWxpTV2/enwBzUui9Q/iMA9ApFvTOw1AHMo9E/PGX3+D5HUD3jEp+2M+ndjr9/Zl7TLLAsRkwpjPuwQ7foPlOHNhzdYk/gOk+93vPA0DcO3DLtUtY7nr6XBn4vRtjTCzhXCumff0zVved5b2Z3sqFcQ4wB5Rv0P/ORr9Luffb9j0HlO/vG9RXNwD3C0T/sZ+edte7guLP1/7BVy7v85af/vH/aPYLLA8473dLY4S2R+zY8u3FrF513OyxPOrg0QYebeDRBh5t4Ef/AtfBKy/AY3nUwaMNPNrAD2obaDJSRm/SWFjovMYw0U2IWre9pUlQwcwmRUD2Jugm7DytCoQK/PB9JON+9ynHYNi+oxjfTTCb8GJXkEEbCdvjGyaY1uftvb4DPJulw0cZM6iydC2Aff7rArMXYH7KSyIOWD7lPWD7lpm/B/6GVf5X37y+C0YIAnxkBYOalCpv11aAbBg1AZJJsr/9FETHvCrYVUAM0N3/sKsvcPuTX7z87Md/9UjOVqeCy4BzAOfFdjmsHh54WDqb5cVznbT1looE4mB4Aq/Gn/uAWOTcMdDVIVlO/qBkPkei8xNPgXLyuyR+204VAKCOidZxBPEwKTrmlnbfi7pQNzxRh5mxWGi2AbIDnTD8usYAdPLsgT0F4YDnl4z2YawDNUfm/sgkV2/jW3/k/zpXALpA0TAmjgIAxqI62dsF/AdAPwzxgoW1cYx7vrL26/63b791XMkkFADaPqz/AwhsSV52CVhbm12+2UUv8y9/GYC+gfLnvn8v4HzLtpNm/17AuXV1BTwaP8MC0wdEHpWAAz5ifw6geWSrJR+4v8Amz0v3uOe5NkEdons+wM/nnwAuzMmRMD4S4+NLf+SOAXfOcXkbHxBMIBg41v6CqpvJ2++1hcpmH9LKU76TODAg/frc0mfg2k4mqL9qwRT2jEjUID/O1oFUOlCw6+r/6rO6r64lF/QMqbthK596cL+6/p4xzFMAt3u2vchtx/6VNLO9wYHVLCgcb67xne9czHK/T/D9sIAHYF/S8OTRK7Pkmspa2YF4AHcgNWltSRfATUkW04ayGDjS/13PsLaPBzZPXNdQn6KOscv6zjOedLu2oN6mvb/zxNxqG6AdgN51uO8SSXiV6z8lqAHMgen9TtHCttqD5I72xarkm11wnIx445Wejd5Z9VOSV9qvPrJz936QIAWMauzTmOc5oPw5Brr9SJdTOej83YPaHlWQzl3w/u3/0//jYld37ZU7YLf9MHDrsyXoaKOeUbYHgPD6CjYCknC8g/q/9kPZoXK0rn46d8+0d/E8k0dFoM9sJNSxZ117lohVm6kP67qqhxn3LXsc46vGI/xQMc96Rxi/9O6Q3GjsNpYRf/9JSWfGlG+8N+cCYAzo/Ob71/iruiP37f1de+nZm2fogI2TnHgSvjCbsQb10Zdt0JtPCjRAko5fvRnXAqsljBkjday5tsrxt37tAnuA6BIEjV8lhjY+Ba409mlcLsG1pTayQfjtHQ0gNx7cLEK+vhSQ2rf3be84gExg5val7X+Vr3X3qv161wYWtm/7OI5x1rAfbwpLAPINoJPyljxqbCypwDjeWB/L3Pi2sS3QfANS1X9tR5uQUIvJf58rbHDOeStj9dz3DcjeQXQA73PS7v2250uWDaI3xtgAuntnblPbIVndNfKANxfxTBinbn/06kk7lxh7WemcJAQJBzu5Q1veKkH8x+8+8MC8O0je550c0OeW9n0ZeL5Z+C/znt8y/zvx4n4f2l+bArhSexhbgze+fNlE8Du3DlitTzMeqA81B63uPG8Wz9C/jGz7c0D6/z+WjtV9kgAgoRFrnDKPpC72XhLbyItv3/OWxl2S0DoeCXTJlX7b8u29Bymgtd1cfmylfukkhZ15pufXou/TZ3lO2Zvt+TnVOMlX9dNd03MS81sJ5mLEv/Hl6d920kb3tLYqqad77x0p8YBsu/cEL3cJspjofN/FGFqar3aNYjDPybe33uD5XjaAjpl+B9c3gx6Abp8t5e4dg/F+9z5vG1a+/ykb9jnLv5IPA8WB570fAtCfA88t2OgB6A/59lcfL3wsjzp4tIFHG3i0gY9+X9TBKy/AY3nUwaMNPNrADwMLPSn3WOiB6IJyTeC2F9cG1k2GC1a1rcmSCX+TpyZYwCsMXiAwKfctf46BDtC1yNJuwtmkuH0uRvhhFQu0koMmcSnYg20C7MXgEZASSBkZ0V948rEcye/jx0YmXhkx5ZuwT/b5i/efyvXGdz3YB9Rd0vA7KLe9HAXjsHGw0bdXesctqI8VVXkAWp2v4FflE0wjH7+PP+f7mc8OcNA1YVQA2wY8/ZUngG77gZM9Jam7/d239KXkBXUlcA+86RyCFdivvJEBOhcQdaSuL0D6k198CvwuH/SPJMG4GF3kBfmd9z9lxmzs+5Y9LQgCcAWi7+DQZkZvYB0rXdBRgLKAOqC538gYd71de0Gazbjv9/E0P56yFzP/eJXzuQVOCHqyFsAEIm8vmeSS0u9+HWlT9UDiVLJD9UbNYNrta796AeitJWP0H8kDfGR5DfZckN4llyrg3TZ+kMDy6hbDzRo7a4Pld5n2Aq7/Mt7mf14A/TkG+t0P3X4FezeAPioAJzGBHKq2TErbb9gnJJUBX1hA/T4A+JF/BLBjhZNt7tmRVCHJYgPV2DbArPYBoF2M91/7vQEzMaDb3j5b6nvL9SsnZikAjiXA9kndSgye8X7brGX1QAYd04kn+9gAHNZ317UBW/3DsN9/48kvnEwtCwTXyhMdAzhQUn8TQ7x9Ood6BV5jUwOOAc8Y1Y4RMD5JLUfGveOM//d57tktDIv73T+9EgiA8/UFsY8B5l0P3/G+dy0AbhLaEnC6FoA7aXkBWooHFACq6+13K0GiPqVjdZ0tWNyVFVO+c5Nt73idH/OO/zvVAW0eOG6f2uMkVpzzS5jo/pNvr04G1H/jvUtOXZuXJNLvo7ByJPQB6/VHzqc+KmPgdAB6bO4A7foq4FLn73dWBGRjvUN6jnrfFijO7/zDwPOXsdILHle2ztF9HiuPkyzVuXcwv3tUOTHSa7vJzgOGMKf3c1kbGfnwnpmSCs64oPrSz7BuwBb3DIys/me+dSXdVKbGBYAE9dN2zxTP+LZRDxh2+xe+fT27+goATXW6xzlsgfjSAsbrT8m8FqSncgQUbizUu0BSW/tXrwC+vlfexpDGKjM+Ouo1H2An/8KTikrlA4pXZ707vQMxfAGOHXMSkH79CbznNd31AkJ2kiiQGhjeO7FjGatdqj6vf/WSZOe/TdVnM9SNuzaQshmZxpd7jLvZv8aDm2HdOB0rHEiJodg4nj8txmLAR2P3zg8YJzXe7+OJ/rEnr/WAlI7n3b/BT2Xa3tV93ox5y50BTn1IO5p7dpI/JfVhnmOvzn6v/eoHfM+B5xL8bN9g/R6Lu4fKfgeNvxcTfXt2bwA9BvpzMu7qtfuw/eK3eta2pnKNgMTaliQNgLiEjS0FL1HD9e1kX+1EskNtwzVYAOQbEAeSkw63Bpy3bNBc29k+8RIPNuitH9kJyL5LDgHsm1Np+xs4d536jp7X5lk92/U/M7c9djpsYFjEeCdOf7jmyMokCfQ52fY/j+f5vR08l8j5YUpJ9/923J5hll0SmQG6wG9jkd47WNKep+kzTjLs9j6XVNCCwd3ni3l+wHhzvw2gt7DnkHwuMZhFmxiBvk5ykOd031M+6WIKEoJJpveOkiQguU6ZbWdjUHvAzJYIUjut/VO2oH6DfS+ZSiIzoHyz0rHxxTlco3eh8lfWsTw5zG7JUls2HSv+7ne+meebiU6+HRMd8M3XfX/erPI7gL9Z8L0POs7ep7X3BTuYnqk7+/wOnDfGugPoxaQid3zzH339Rx7s81cfL3wsjzp4tIFHG3i0gY/+ha+DV16Ax/Kog0cbeLSBH/Q2EAs9EL2JShOWJmrY2APkHACtCSofbZPg1k0om2BuyTiTu4ImBTQA2yOV/saX51hY5wOSv/EEXAtOAtAL6HZOoChGMbCWDKagksASxjLwWGBJMFNAZYPqLeTAyYKO9OHJZB+Q55SxybBsd95/OwMee6nrNOFvQoo9UzkFfyYoeFgcgnYCFh1TsgGfzcpA2lh9YDdtBtJmZIz35ce/dIEEZAkL2E/w+9R5v/H9bg1IxcTChtoy7oKSpA87RvtiOcj8L4jAj9l6MySBbaTIB7B66ylxAnDt3mHk9L3yCGBXL9qFax1J91NHmOTKXrAL0Lq9tp8Dz22vLN0bZeJDuSXL+awCMwSR+J1jYwZ6ASUFt6gADNB26pwH/YDjJ9njrhag/W7AoLZ2Af4HENiy/vdEiev5WEkUI2N4zq8MEhE8e50D2E6ZAJBOml2SAkBcfW/A3LJB8Q2cbzn278VGfxmo/pyk+3Og+YcB6C0Ale4zeXV2BbVnwC01AixvbHSsUSCWABx2d21/JMrPcUd++5e/y/Amlc1vubX/e74uFtE5zwXqHvB3JKHP88fzHBO5fQDzwFEJLvU9lx/y8ZVURqA9mXoALsDU7xcQeKRjh7X84rtBxrYD0dVrSwA1b2R9CAb4AJRJTp86KygcGFw9FCAFPAPESboHXHd9PL87bwkvPOc7Xr8BngHoPL07Jlncy+/83T+Z/2BbdzwMbmB8YLQkIsoTAGgA5wDyR0IaAzhAU/IDQL5jYJjVb2AHA8yx3ds+8veHrd1nvuiA/D4D1IcFrmwv/uACv7U/UuqTNPHun16S/tuKo/vFa7416ev+2ztG25ZUMX7wR83hYqJ/5lvftZdYzPQB2T/19Q/YI7ACCIDGQO9d13uiz737AMRtB6J7dwno9+6NOXVnn/e9gK/trbc3+l7XB3fM7jXlAwB6gAUZ2d6dlW0A7K/87pS93+oP60Orp66NfL1nhgS++huWZJK4J/FB8ox2J3mtMnhu2geoAVCpvQBWhtV9nu2ORW2DvD8vce82/UL/73oqZ+XtnS1BDTjmXdH97fq6zt5R3ZeWxk0F4KtvzOaW/tN7Hfuwd8+AIC+elGuAztVr76Te195RksRYmVA5wnA3XpUoB6BtXFc9Ajwo7rAd6nwsigDbEskuUDxVl2Uv0/fur/HT9igHmrue7UkLCAcgsf7BGuw7sLPt20PYmBAQs72mMcgBLI1NgYO+8zbfDOnu5Z0depfV3sD5Xox7O/7+7JpI1hufbAl3Y55JIDyJfXuMyld4JxgYCxn3GFtKRNgM9J2IuoF9iZwtwO3nfNDvjPQNoGOd/zv/1r9xAZ99BqBvJrbjmjO4n+Y3OzGA57tr2vd+A9GuzbLL/ZzcOoWBO1h+Z5UDyFu2jD9vcmDfB5iw535LvFC+zbw3p3MftQftjUJV90ISh3rZx1Av5m/Ndzd4TnVD/yfxiAoH6wgAfOVxf+vbXqZk9GEs8Q2GV2c78cBi+8tUlJ4bw9ZXAIv17XsO1vuC0o1kAVZPbL0oSH2Aff5LX7/2x+LGODeGuzzQv/aHlz+4hDHvuc7Vb1dC1emzJSbU522vc/1B7cf7Qx+4k3ol32O48zfnX7/92VucZ9rNDTzXh/ZczRz8jLPrxyVgkbwHnu/FfLjPEz948f7F7Cfhzq7DsqXa+Y/vbZs9vv3NPVPk2rHQ91pySctmtWOfs4zzm2UD6Psd4Tey85WnpI3GWSXBbfZ5CjOY50D03u0t//f/w1f+P8Dzlo//6m//wbv/+X/y4w/59lcfJ3wsjzp4tIFHG3i0gY9+X9TBKy/AY3nUwaMNPNrAD4uUeyz0j7321jdjoZOyGz/ML3z7Ak77bgLaZLTfmgA2gd0Z9CP5+FOfuMAqwSqBwY4PTMdKx0BvsokBPjLyn3r7ki0HVgOLMXQE+HgZbr9zmesmnjsw5n/t03k67zC5f+HJT7DvlWsk3ZYcG+bBJUW/JN0H7D5ykn5Xrh0IELTa7Ijx+/6Jn70kJy9Q/kjSkdTmMY2hLXDWdWJfbI8/AeGCCV2LoAF/sia6be/6gMNTtsNax/bDbsbmsWC5SB7AuMUuEGARrCkYVbCdRDRgT9Ae41ACQ/fkDnzz0e7c045++Wlf/+FLKMgtaYEfKalKQKugfguW24cB6XdGOiAaC11d8Zgln42BH5gBlAR0ApRGceC0IUA39tAOygv29107EzDc9gDj2bmCxJIPJhngfMbKt2+/bc9UwLrzadNUCCqbdoGxxVN+e5xvBvpdpv0u3/4yUHwvH/afDwPNXxaE3MHI+wJAr4/rGcQswUbBXAZeYw8DywHngMnagXY+sskHDBsP7CPV3/fLx7zfDvAIwO/4tZd+rzz97wKP3/7dS2JfuchHd26s82GBH2lSHsI8IwGWwNXWgbo81gHf7dN5Bmw7ignt65qGqZwU9OefWKvaPsBV/fDSvNjQbz8x6is7sLtzVt8B3JWF1Pp4ki8AGqjcu0qSAClyiQTj232SCUiZ8k3vOBJfJBVM0sE7T3VI/rQyDej74rts3fZVhs7RtbRP5dnbBmQ/TGHgPRAYUB/Qyru9c28bjKnD33iyhNB/Xmynr/3h5RXfvpWt/aqn6SePOoBrA+TXRqd/PkkU5Nl5cJMtpbYA4O/cvO679v7Dn7v3poQTiiAY5tpO149Vrg2xxeie97n73X6SMVhLaG+A3u5LgPSA3UvCHYDe8RrLSAYEnAOijU8CVe4Mc2ypDagXFA5Ev/uix7yqbAAMbax7KqBf+65v7X5VrrFXefePZ927vD6O7Ph+/igz9EwBt1sXoCfDzioFC50agueBrC1GPIWA+c95j2+7BR7sEnK0LUkUVDEoTXStn/3tf3pZVWx7mBaATO+e3nejivDZ/+pi4wO2qvOC830uKB8QUN0GNnSc3jX9Xnm8zyYxMCbfAcN7d9WG8jmfd+ff+e1ph5OI8ItPiWXGPP1nvKY//qVZ9x/9L5Wh+mBKRJIYu4YABe9ezGnv2Y4HNKGgBPRt/AbAML7sXlKE4m2O6QcIByJ5Xw/Y/ON/85KRBjptcPgjh23eeJO8b+DGxVz82Mev8gTINKYHjgLNyb5j/QJnryTQk+zYubCBN4De9n0Nm3Vu/ApArb6MZYHnlY+STm2t+pf8SU0AmN42YLMEww2sbrB5S0O7pvtS2TczvO97m7Ek4HsD0hS7tmw7EP0OpALwOsY+/wbRJQ8DlgFew6Q9ibv3ZIb7WAxI/mEAubV9JDdukNw13pMIfN5JzO5vZQTOVebAN8xwKl79p3vnnu2kT3LT7t1mzUv0lDixpep7jnsvjcT26TPJtNen1VcbJ0hGGq/uX/r61V9QAth1eL+PL2Of+30nIOxkA9uA53tce09YuI9TO37lAhQbQ/V9Ph92fZ+xxo0Xu0ZWFhJRKEnUZqp7Y8fNQHf8CyA/4Lnz2z4S7ge8nrl2iV9n7r8tBCTE3xNzqFh4RiVxmyPVr/ZO3LLpG8z3mcIcufSOic0tgaVt0z+fMcmezxn/q8/tf26cO4z/UxZz7O1/3vVO8sAbT8nRo/BxWPebcb59yO8AuiSUu6y7RIDNTL+A9aM8cmea992zZ5vvAPLr/Mv7nOIKxZLezY2tAOi9WywbPG8JOG/sZFzl97/5K7/1heJSDwD91ccJH8ujDh5t4NEGHm3go98XdfDKC/BYHnXwaAOPNvDDJOWOhQ5Ab1LYZHczl4GuAtJtaxJ1lx/k3dmEG9A5AczXfuUC0LF1ML5b87IekORMbrF8SKQDiwVPBPs2WL3Z2FgNLX2e7OkTWCIPyleRlLWJrWAnCXeTXaxnDPprv/NZIADjdwOOO5NeEKAlkBH4TaryYiMtgF9AUBAQw6brI8UpAHl5mJ8khH0t3bsC1UD0AkntD5jdrGNSucPIOgEOQCoAlY/bMMGPxCvJZ17LBadasDsxdv0OTAGyFPDunJtJjQ0BwJ6AdwDDAVywzgHoA0Ifto0g3rAgP/21OQ4gtmWCoyvAD0i3vgPols3k1tb7DBACPJHqxlQtwNN96J6QhG8tULg92DdjCNDtPuxg72ZJdb2eRd7jgtl9F1jt8w5q238HvV039QbPDxb6Zvjcg82OLwiHrbODuBsMf5nv+VYK2Ps/553+YT7p30vWfQclNyPoAtA/9fblHQxcAo53rwuckTMmwQ6s1M6xLgX8gFH8zXtOBDRbxvP7MLr5b2KH970gJF9oXurb07zPWEIY3ZiopMM7Jza6Y2GL98wC6/odGxxLuLJhH1++1AfQB2zX71Q2/vDDoD3gHjAWAwzTuOAjCfbKMOD9AWKBwaTo+YLrawR0R+nh3T8d6XZAov0ChjtuyT2ey8Dm+f1zT8zaSTB45zuzsGIQfAb0A7y79u5Ra/UJ2K3+23/2DQyPMX/qQfAeEDz1/c6TlHxl63+Vi4rBViLAEteGxq/+sPF5Z7fu+kcW/dd+70qswNwGyl/3+yQ6uXeTyHH6aYlA1SNm/SQTrISI/l8/PO3l1CNAHTO+pXcuGwy+6OT920aFYN4Nv/GPr+eMakr7l0QyCRuHeV15ereRcG/du7mkvN7Z1WsAbe++3nuS5DofNnEB4T+vfPv2P99LAeTeTbXD6o6dR4x0/ufVTdcbSCvhDLiPgV7/2jWr+wnod6+OPznVi3mvtd9pB+5ZbU3CxbX9PGu1Y+oEngMJH6wTJLZ1LgxzvuOAe9vJ2mKhdz3kgSsnFvYGp3vPsfLwzmrs17ikped/VIx+4ekeFsA3DuW1WtAe0INxPj7HJ8FNokXnZUcy7fJY8PTO7X/GOwA3QPpY9rz91JZrb9d+H//SBdA1Jus9LCmAPzkA1DVgPbJZaYwyku8//gSCdzzqQ4AV4Dk2ODCJBHrvWWz0PnuHGvtKEgxIaQwMVOlzwEbgBzWkO/PYO7nz7HEGoJKf+k5M3T7nG7jfTO6+32W4N0teMh5Z8j2XYJfDwqd191Uiw2ak2590+x7D7mWP0c0ftjS48cydSd+2DZz3fbPRt1XNHUC/A+nmUJuFvp+NnRx5B42pClS+Pe/ZDPg7QLtBcuOcO6iLUU5yPYCuY7lG48I99ruXzzjWc9W9owwlAbP2zuZrZJ/feJqPme8AdO/3DsjX/3biNAWHa15XW3nz/Xl+W0tQnPHTeZfXF9b36QO9T+rH6is2wOtZfA48/1cFzjfz3zO8n8MNoN+l8fveOap7SbubfX2x0A+APnZAK5mqvs0cXELsnvvwPt9s9i2DvtfeYxtYB6aP3VCe48syrXsk8bxz76SfFn2fvqPvvNFHxeT0AY05epeLT0iCND5UJ6N098aXp98DnEsQqU3XdiRg7/da5W9pzCDRdIPpEscpu40dwNf+8FItAdwPmeDYmJjji23cwfMNqG8AHVh++ZEvYN0asL790bHNJWzdl32uDaA7t/9hxyuzhKyeYZYsGOibfQ44x0APQN/y7S1fee0nPp18ewSPVx0jeyyPOni0gUcbeLSBRxv40e+DOnjlBXgsjzp4tIFHG/hhagM/8XOf/stl/QaiNwEKkCkwiYG05dtbsLmaON2DA02i2g5wFPTaXujWBUALnJA3MzEtQMkft4mm4An2iWCXgJ1J6PY5l2n9kRP02vKQW8JdkHKkwF//6hWEI8VOVr5y8kJXR9jPAH8sdMcAnm+vQbKapCFl0jcpnUDjASRNULHkBQOVeQPyO2CHucPvusAIv26e7jLnBaJdS2UnW1qgiZQ7MLtjYjlvFvoEQApgvPXNi4lau8GU3QBA4ErrCbQfwAcLGysX611gBbtowOPDQJDsAHi+GCYnUHaxuJcUJyZaYEJ1tL24BSiB4i8D0u+fAfx7fQf2MVtaSPkOUzkmJSn440vp/vu8JTdt22XABrvKc0BrnwEx8//zPOz/CYIKEBfA8+zWtsiQbiBe8oqyqSvBVN8FVJ3v/v0Oit8l37fse/s/B7jfgfTnfvvz+KHfAfYNpO/AaM9iQTEAMT/w2jBW8Waga/ek+rHStzQ7eeSRLD9ANSUHTPKeT9+BjBjsw1g/4LXjALcAXC0j831ASWoIAauSAdqG2T0g7Zvvz+f6YT7mQGyS7z3bJLiB18rbtvHQPgxO14JtD7D32zDpj6Q4FrvnZAKU7xw29pGw79nq+ADnjgmgFzBtaZ+udQD6I0fOe7zjYua3jfQ7sLrrkWAAWMTaJtePBdx+yoHdJUhP2r1jBKJW5vbpt2HDn7J3Dy+bi1/7vSdp1dNPSqzgEb/tIDqXepOQsL2wsdsvqe1zTOC1PrgyYMX3DiDXjSk+iVHJ4Rdw//yTZ2zAa23gkl2v3ZyEjwHq33pasz0A1Hes7mHbyL63vTqo7Qzw/4kvXxL59ad80HuX1XdWRkkblbVzNj7Zi/dyfWzlKKAfsOCZkrAlwS9mFVb5n9f3/A6iB973/uwaa1/VUYxsgEbloJBQG9RmjK2AlsO0//RTMkn/Y7cwfc6Lp0QOkv7UHNwz6hLqtDL0f8kilUuiBynfK1EltYxPfX2Oi6HuWe/5aO0ZaQykL5Rg0dozDciguMKKpnLwt+9eBqh7p2JQF7xvrNM9bIzYGKTxigTAgvWNIwvWF4QPFOlzIBzwZxR+jh1J7+jO1/W4/41pGht0HZIVJcR5j5c0UJ/TbyMd31jpAE21GeM37y9g81bNqc6MHwF7xrLd767X+A6gYr2B0j5PQuDxpjYmaszYMTY7mDQ74DxAo8/9t7oCvN7ZrL33JRViegIOt9c04N71X8o3B7y1re8A3j1Wdeztxb0TA+8+5oBw6lisnagN1E4mgfXI4G95c2PGP0CxAAAgAElEQVTCvnd812SM7l7s+t4+8vfkQIuxDKDbeGVLube8DEAHnm8J9528sP3BdxLC9ibv+BuM3cudXb6B+u41sN5xWowFW5Pwd5/No7Y8OnZ4z1ifx2bqgG/VtwSHSXw44xeJNJIhKEeYI24rK+AqVTPt0v3aICTGbP+VrN2979mePu2MmVgoleRTv8eaRRJbfWPPff2N+R1Zc/Wz7X2+F3AOpHVftROJK/dEhw2a3z9v4NwYtXuDbU2JZljfR1YduE3tx/iobawQmsuan271Ld7n+xiA8t4rlFbu0u37fNjafNbrz7c9mzmzxPadZK691+66v5Mg9bFPTZvq/6yMLpb7kavfdiQzX19gcPdiJ4Z0Hkx2Y11JgMByUu6k6MUs+kzNpnULtv3Yi52+n9S8Nl4d1E4p6G3A/M8A6AfA3uC4z3cAfcu86//3M7wB9DvrnYT+lo+nSLL92T1rfSZ9TymmdaB575g7gG75x1/6pQ+A5723U0P8L7/x+3/tAaC/+rjgY3nUwaMNPNrAow189PumDl55AR7Low4ebeDRBn6Y2gAWeiD6f/ar3/5nBSQFDpo89hkLfTOXC8YVENqydS1NmprcFiDAVt7S7YBooHTnAeKaVGNMz3mOzJlAlwk25rmgo+CiAB/Jsi1jKPAHRN9Mb/Lf/Ng6ryx5gU9lnMlw13RY3RcD/e9+45JYJ70tIIG1IFC4pSq3D6dApQAr2XrBPhNYACjWSb9NsPiwpibIfQLWExz5lQ96twHRyRm2FGDiE9r/trT4DmYCdMdf+0jfk34FemGw8VYlx1yACphI/pVU9QCMbz3J+UtQwLhuXZtSZ+qYFykwGlhCMlIgeJIdTuC//fudxPiWHAeGb5Y5MH0vG8jeku6kYEfu9c33py6xAQF51TUGZXXOQkB7FpwEotd2fd/nlxywAe7NGveZNDvQeoPYwO0tQ6peCuh5jj7A1l8Bcu37zuraZd2A+gbS7zL5wHufN/P/ZQz0ve05dvoGyF/mj/6ybfcAac/AxZT+1NcvGWuscwHYzT4H5gLVAd3DeuUJ/plvPflAf/a/evIy/txvz3kA4m0DhlNrmOfksKkwzYFbncNzh10MAAUCA2kB0/YbFvFv/tGVzILxXFvFeieDjtEMpGshtQ6cHbD9rSNLv0B9YHmfMV2VqTV22LDAvvK7V9mHVQ7kO1Lg6rvyDQv7AIGAb8x7DO3YZiTm+1yQdYDnX/u9ATYxyvtPfWXHwkirTPbHQu+YnR+zvP8qg+vp2e9cGFnqseMMk/9I/QP4McSVuQXYj3kcgF6ZAJfY49U3xhX/d3U7bebFE9jcd+xl4Lv67fiSD4CuAFdJIxIbOpeEkZIwWgo2189WlpGJP+oCkwzw9795MYOx0Fv4qwPi69P7PxlzbXKSqs55JA50vsrT/cNAH4nyw/oFuLW9cQWgtHcc8AAQ8xwD/c42v3ug76X3aoDwgDAHQAfcB9jkdV6dNZYINC8Q33793lL/ygO9OhjmXgH7d57eo9qAZ1r/ox1p75JTagdsEdiHSPbBQmRP0KLfAryPesUpo3svKaN2BFgH6uv7yOhui4HWEkG6t54zSUnuJ6sR7xpgSoADhnrjxsrVmDXQvKV7VwC/d1brtu33YHXU+6jj1N92v/veujGesUbtpfqvDru+AWGW/RAQHIgA2PTO2rLVki6Ng0nkbi/lrlNi5GYkYmDu8S1w0xornex6gEbjcEzzPm/f9JHk/Ymf/QAjGVB7T4RjfWM8u9nlgHPA6pZsN+b2WRKr5DuguXHtBs1839YxPO8pUgHeJD7UJxhHSXTARlanlz3Sa0/HVAaS6JvxukF07PI9TnJdOwnTfnsBjG7QnPXVy0D07T0O3N7r55jkL1vuAK7j3JNHjaslSWq7e84lqaM2756Y+1C8slCN6Dnl8Vw/y/caaCtxduxFelcc5bHureNTYqD4QJFLgjYlLJYI/kd9pIXqmfkPdYyxl/rNP7pAc6o87dP/JF7suU/1tuv2OQB91/u2K5Jkox3t8fS+v+7xnY1+l3HvHD1Tlw/5suzBQmfVAcQGntcv9726k6AtGXYrb/WMbda5sQXW+QbQW2Pu26bOAdxU24wP1LHncIO3EnbNQzyf7Wd+Pvf1xdO7rnNi3QO1OzYQXh/ZUn1Pn5iKyGp/vdfUjWQwqlA7McF1Sfb3e9+188rHAkBco/Yp/sGGYF/zXb5d/7qB8+17vn+7tm1AfXmd77Xjb+l24PgHmO/nP2TbKy8P9I5fW+xdAzx/DkDf4DnQfIPno4L4kG9/5fHAx/Kog0cbeLSBRxv46PddHbzyAjyWRx082sCjDfwwtYGksv5Xf/Vn/t0t5V7goIBfa6BxkyPgeesmXXzXBH5aN4FrIk6yuckr9vKwuk8AUlCx43Uek0u+4gKa/nOXOwMsb0n3j/B4/KlPXGwXgS6sW4ExATMANsk/k9sm0gXYMdSB6jzZBfP4Vgv6kCUs+GQiyrtQ8FAZtvRl59oShAKw/T7B/rXvXYqt7TwzySsPIPHiaSJPJrGAgntb4JmcewEHgW2sQADdSEifICWQ9woO/8xn55p5ew5QdmSLybhjngvOFyznE4eNTkZwQJ0XB4A7HqObASV4hVGOjURBABPpLn/e9o43QMPnnhiy1Slw984qt41E+9333O/3ffcyQZnDzO9+8H3vequrABYMvMrW/aFeUACSlD7Wyz63a7sD1VvpYAPVPm9w/S7XLvFEYE+gb7OStoS9QLug//Z8BULcGenbl12A9g6U38H0XeYNmN9B85dJu3+YJ/r3Ath3cLSl6+oe9nwErnRvMTGBz/P5ANvY3cAlgHPbe95IpW8f4fEaPv/H5MV0uUDjT339kn8n7Y653jZMcqDmsKvPsduvAGjPJFCURLPykQB3HGA3eXP7VheY6jyRp6/4zLee/M7rOw4r1jOABQ08B5zx0yYPPez6Y/swgODnnxJs7NuxKFn0v4Bjvu6uKYDb//1nM735kmOfCTgLpldHo8RyWOdsKYDK1ZPPlQvQ3LVvT3By67HeMZCrq37rHOS3MfuVtXstAYckfOfYjPTKQIq987Vf5688A9K+/dT+sL4LFLsOsuiVjbw9YJUSwZa07fi8tbu3WMeVB0ham+nZmHfIG+9doO4A6m8+2bXwOm+RTCGRZADtv/uN6x0kWWCrlATWkG+3jIXHW0/qOQHo1XNAde/s3nHjJ30A9MYzW/qZCkj9cP3Z9jq3CPxuML3g73Ns9eqhvkLiDO/zDWi0XdkKxle/7de7ub5n+tef+ezF3MeC614AeSTNaE8SW9pn6vTF073xrtWGKGHolwBIki2ALOwfqsvGaTxkgfQA8Z5Nz5l+SAIPeXpMyNYSSCTVVC7HomLBukISHe/03Zf3vipIXz32LmldWVgFNb7BSK+eZ7/eoWecyEKnpfdvY71+Jw1c3dc26oskTF7naLz4qbevMV5gDIuUyul9XTtgtdFCcho43lhu+4t7fwKoN4hizLdZxxdA/WM/PaBQgAXGIabrJbX7U5+4vH6rQ0Cdsfq2sgGm9a6XQLl9tYEw/Q+YYgy+weedtOoarjHvGZ8ZQ/g8xzuewJimxoOXf3BzhSXRPcDtAle35HYLFjPAivy8ZFrja+xWZep67qzyvWxJ8/t297U634B56zsTfTPDMdEtG1R/jkm+fco383wDsiSfaxfuzR5ba6s+U34aGfyPf2nu/4xPz3zHPCywjIoYOwyJt/Xn8144ScetsW+HBX6Y3QOiHhZ67zsLhaud/MAiq9928oRnVRlH2vuTX/yAJQRbCL7c9bcBzZLsWJtIWuy6mlsYg0uSIJn+3LLvS/dkJypswHyrS/WdPP4dQAe+39sA8Lz7OcpFZ4zwnC854Lp+fQPd9fHj1f3i/Q/M7SQrd+6egf0/gPlz/uKOi5WOiW7eU1kkz0uUpw5Blt1c/t7nbdB32sLpfxtPdK8kb488/RlLiSd0XdWtuut5HHW3kyxfO5LkSWaebLt3V/v02wWev3j/WhuLY8F7P3R+jPT2K3HatSubZKHL53wB2+qgdxyQfHua3xnne9lJB5f3+QLT7wB63zfrffuu7/2owviPvq13TmOvO4DOKqSxEr9zS+/m9mu5s8+zGHzVsbHH8qiDRxt4tIFHG3i0gR/9PqiDV16Ax/Kog0cbeLSBH0YW+i//g9/5n5NyL+Aoc1/2fgB6i2Bq25qUxabYQZ0mVAUICwg0CSe/DkAnrQfItYyH2PITF5wks952/pECKoBqk8QdsPvIYb+QkOQ1jsmD6Ut+EHPFxBxoDlAnJ0h6TQCPxHpL+wjykIvsfIIlgo8Y5qQjdwDLhHoDk65hB782W2fO94mnCTvJZWBWk/edGLD93JvQb397Xm7jKXwY233vGABeSQstmwEuwDAg3gFUBOsBWqRjgQlbKq/ztFzB8zfeu5ISNoCOBb2DfMP2joV+vNzVt6Uydw3krCsjBsuw1o9Efse7s8kLBvY5wBuofQfTsTZsx84XzAUuYmbww+b9232ovY3E/FtPQUTMdNeHeen8jq8MEkEE+7SrDbhvpjgwG4OM36f9NtDuWdpMPoA9htLdR/7O2t91xb+y7R8GnivHHTB/GZB+Z6g/B5D/eSXe7+yilq4Vy5vP/QDen/nWAIfAcKBXbbsFsMSDmG848K//AdUB5e3Tf9tW2y7wSKq59oBpTma59lXwrqDoeGQfVQfs4wDWfgcIbwYq8JrkMw9wDN/xYj9AOFYrQA8bHOjNC1sST9sAoBIFBow/dcDn3bVSiSD5rPwYseq0fSoj8A2w2zUU2MTYBnIDzEmUb6Z3198xCqg7Pv93SQAFhQXZyWZjamP6D/C9PO8DzAHPG6zv/JWz44/H6pGHB3R3nSlWYGtLOKreOh7QebyZO9aLJ+Aa8A4EaM224rq3BzDlxa7cge6Af4kMHRPQ3nV2Pn06xQVtoPs49fW537mAf4oJVAm0eSx4QLtnA6hOcUFbDgjmPd2aFHggjXs4TP5PfX0Y3ZjeFG0at/RuVmeVmbdy78GO6T1QP9z4584s73sB4C3bvr9bAu9715JxxQTM99zn1iPP/4tvT7C59173teezcVH9Uv0teXkWCuOpftqXBAfvUOoHXSNGuHtHph0ozuZg1CcO8N7v7AskrmDiSXJzX7on1aOkCYoL87wd2wIg+QD9R62g5/ICdL7y1Gb0J9VB/+m9r0/0nlQP3W/e6ZK49OMDGh659ktV6CRcVKfk3o1jU1AKHCiIH/g7oDPVl6NMoP8i44zVSjYaW8/YrM/GKRLsek+Pj/qR650x4mtvztJ7d9vwdA3k2LGhLdjjPK77D/lhXreBppVjxsuf/HtX4mi/k3wGsm7FGQC68QE26ran8c6mTGOs3Tm21G/fW4wrNjudjcwe21LdwfreUurVtQTSLcPO71giJBsfcu7df+Mcsu/mDPsc5gHbf30z4bcXete92cLPgeZ+uzO8q3Og+fY+v4Po//7/6H/4L74Xk3wzm1tqA9UrtSBjuMoiaXErGEgSINMMNJXo3HPGvsla8hIJ9vahzNWzQbHsShI570xJTt4PkwDUOOaoSPQ89tl86kpOPmpgWO2eZ4nXkzx9+uth+f7K05iZ6hMrqso/STnnHdr5gcqW+iwJRMbpkzzz6ad5b+fFPO+5eZlc+1YPkLCwVdC22sEep9eHde+6jxIfyO5vSyFJLxs8738SlC7A9yQqbfB6A91dsz6dssj2i9+KVvULAdQbMN/e5xjo2OxA9t69WOB9r+6Bz8az5kb8z7cix1ZZo3ax+4fpfw/43b3tWt3jGWscW7WO231QZ9VxfZH3PNB7M8wvn/bFmq99UnDru/beWttVjpl/n/6J7/mOF2zVOvLt+vwtpR743Dui9QDox/u8fn57oG+2+ZZ1v7PNEQs2eH73XW/pnLZt0L3v+gz2CtjnxYB633i39k4NNAegV+af/vH/6AMgOpC9pZjTX/lf/+1fKgZVLOoBnr/6mOBjedTBow082sCjDXz0+6YOXnkBHsujDh5t4NEGftjaQBOWMn+x0JsckcQkn0eOj0xXE8gmWljoO9gja7nApskh5k0Tx5H8PhKaWAnbY7yJpgnw5Wt3srVJtvv+kROw20ydJoECSdi1ADlBTxPBJvPAbExtgVIgOmBdOUnGtWA6kIFtEYDpPySuWzDjMT8EVMbj+wDoAl68INu2r8X18lMna0jutgBS96Zy8hKfAMCp8+t6DqOqQEf3lLStwAhATwa9QBK2TkEWwU+BNYF7oKF1QSoBFv7API8xFQcMOsErzJKCN5UfEx0LBCMboIx5xB9xs54nOHhAF3K3LR1b0BA4w4/VcQvAtRS0F7gXVOSPylu1db/7PsydU67ah3qpHrYsMQbegIVL5nqklY8EvH0HtD1sK2ybHexsO/YaeUtJBtvuQD2RwndP1fH2Yyfpydd1M/uBBJvptbdvCXcJB0COzZ7fcvhAdcHfO7j+HIj+sm0vA8/vjPPvxT63rp4E2YZRe4CkSVY5oBZW75UIcgBaygwt3cfua/cUGxRrE0uYHDrgk9wxYJwkNvB9qz6QdsZoxpAHhJEVB3yRct9AMKbzvg6+5hjqrr2ydBznw7yurgrQqg/9A3Bs5N+PysWWpVYXlCmw8cevu/3OPeg4nitS9pUNoK6/8ezzLc/7HbM+kLvrDSAPyB5WfcdZyQWk2IG17Vf/BVgGhm+PaXXYOnA0wDof7N0/Ah0rI7a1BIpJBDj+0/Ofd5+SjqrzjtfS8cmMAu3bPp6bX/7Hl/Q+KXjgqiB4ZasNAc+pKLQfz/iON0z53/yjp8Sqt745Zdcm+IxSQuAVyuu281Ms0Jdpj/1WXz91nkdtvx02mHtpG3uR2kvH5mMrWWCsRv7uN+Y9Fogukaz3Vv1d/608vEv1SR2XHy8AqDECGffnJNo/bJHo1zu3OttSwZQfAtMlj/Q+rgy9i0tiq3z1P/W3gOPqrv9XH9V1/5XMoi1Jnug+dn3dC4kOw2w/fr9tA8Z3r8iuSx7hta7dV8Zp9+e+U3wAykjyqL14ZgAJ1Dow2odl/uL9OTclgtZdl7bOyoE1xvR/gVlv/+4l7987rfsN7Ore7XdHfTmlGnY/jX0619hBHGUjiYMF/yWNYnYDYFnUYAxusAcoSd3lkgj/1NvXO7O2t5WXGpsCxzd4vv3MW2NqAy5GLvew1QFuJNqxpgEmwA9AG7Y50Hp7j287FaxtzOPNQpZst5WdsEVbb3DfmGEzR4G3zwHYwEX7GNcakytT342tR5r5jNskvGIfN75wfayeJJoCkLfvOXBuJyvsMc+WcDf+fhkjfXuiWwJEnwPM72z0+zzqOeAcGFgbp6qFWd89lzhpfIW1r11qv7V3cyDJCUBJCbczDj/9bc/xHrN4L0v8qr8JUGwO0dyD3/WVTHf68/qmngP7mkd5JjGCPXPG6N1XHtQSgbvPEpo38E5GHnhvqQ9iocK/exSyloT7JPS98d71LNcGejZeBp67L8aRklG0e0kY5gOSdoHFAHTP6AbON2i+wfTO238oE7HK6vqA1C3eDWTHt+w60Nj8d/cHFKj6jjl+Z55v1jnm9337taQ68pXfnXs+KgXnGZYoz1Zhy5bXv9QXt6YWURm35VrHkHwloabnurqntNFCqaPj1E4ka0sWp3wmMXQS3wLHT0Jn7c7Ypuu4wPO3/4+X7ZIEsD53f/sPCfeL5f7Ge0/2E3/7c1d7l9yyr18dSLKybAb6B8Dy27btV74l2DewjnEumUtb9b7huy5esvsOCWfVcW2//q3+5O5/DkAHord/79oA9tYtP/nzb/3z2Oc/8XOf/ssP8PzVxwIfy6MOHm3g0QYebeCj33d18MoL8FgedfBoA4828MPYBu5S7k1sTHJGJvOTf+9ipJPqGon344W+AwtNqJp4CfJgZjcxI8fOD33L+42U3GtPbAjZzvegpWDXzp4m+dZ/BcUwtwX7AOg7gEcSXsAO04W8nIzxKcMJpGJQ+G2kYw/g63/tAzhVlg1ECs5uNsJm5rb9LvXnf/0m4CgICMDnKYjJX7ldk++Ve7LHjzyiQIJgMhC9AMEAYocJXkCKzDxgU4CT97iAGoYoD1gM9AIMgJiCEZiVfe5cwHRet3wut2w8AB0DGlAsaHpJqp86HwWET3z5YgQL9hUwaXv7Y9503vYZ5uQBbLDY+s6z3FKADsi+GTt3EB2QjqmLnQ8QxAYGugHDCl7ySOYBjJGofMAf9bUlid2zSXA40pvdL3XW99otlYh7AF2dCy5vX3mfBZ13wHlL4QPYO95mxG9W+t0PHfMdqH4Hx59jpfNuf06+/WVA+cuk3e/guc9d37BWjmyjpJGRIz7scKzwAa4P6Ot50O6A7GTRAUcUErCQO9cA3kem2+9k47ULLF6A5rDMT0DQcXsulQ3YhqGqvAOmHwALS1t5WgDsAFlsVEA2r/L+45nhpQ0oHwbSSQjQX1yA4JESr277nbcmtj0AjYy7IHCM44LH2PKYxqTZyVz3vwDhytJxya6Ta+9/HcexL9CTpPtv/tFcC0av5ISWvg+wfABozPPqoXN0rPbpN8DmAApHCrv9tRWS+lvCvnoR3O1/fW/pfg9Af5jn/l+9tq6+sOXbl/x3xwGO8zrHWlf+YTW/8535XPk7BjBkljfff/KQ/8K3r/41IBbozXKg4+8+lPLCMBmPh7Y+VbLEBsX1g9svl0oCoGT679e/egHobEkE3esXJYxtQF5/Wf9U2wE2NbaJTb4Z6B+25n3eO7v/1ib56wKPqw9SutVLoEb/qZ+rTNVd7+b6oPrFqZPjG4+1X5uQkOJeSkYZ5YQ33/+ApLtnQIIHiwMJJtW1tot1PkzwI/HeM6hd6Rfaj6f7tgmQGMcrvWNu+d9RlzjJLx2ne6bv0/e4ntYDth3wSz/R9U0y2VG00LdKNvA+lqzlfQTcpNxSPZMUpnIUCBCQEBBQAgUAYMZLgQ5ZxHzsU5f3ODZknwGnjVV4MXt/YlNjnwO5MbYxCrEKSaMDfQDogRCBGmTa+0zCXjKp95d3WWNxyQQzzjnjS+xHwBlQneJP+14KP6/96qzvnuAt2/fc78bZm+24AXLjibvK0p1pCkTfyYgzjgrU/eQXn97BR/0JAAxkb78PAG7nunh3b0bwZrYCNi3uresFqG/G+XPfeY13TwFNLwPO9/rf/tf/tWcl2/c2CSKSFzDstTUqWIBk43NjeYDeMLiPZVdtzLwBYxYA2FIfDygcyeozBqkPmnfqsYto/mBf4/qfPX1Rz+28zw7gWRn6TfL0zFGOqtdmRXd9ZN2792PxVALhSSjdydjKDaiVeFg/WF9VP1S/TL6dbLvEH0oT1Aq6pxJR7ozznZxCccDYVYK0Nrytnagk1OaA88BxALo18Ny5qLx1fdsGi+oX1rl3gH55A+Bz745svnnBZsVbaif18QB0ALmksDsrnTd6C1DfeLTySjw1RyXnLpHDXGJbSQF0JdtI8pC4PnPuxhC/9PXpa7b1gf60//Y/UurzjvrCty/bEO9OHurKPKp459jtNwmZJzm969lA/CSJ/fo3Z7tEj+redbMlMweTaOeaPwxAn77+pz7xAY/z+/ryPD/77XcM8Fx/tM+xvc43WL/3QWC4YjLL+/x//CP//WmPxYOwy7d8uzWp+fa1/X/51/63/yzw/D/8qZ//G8WeikG96jjYY3nUwaMNPNrAow082sCPfp/VwSsvwGN51MGjDTzawA8rC52UeyB6E5tAdME7WdIFGflcAdGbDAHRLTKcm/QLlgHQd+AG6/wDLJ0DmAtkCPQJamD/mHQKzMn23z6Ll/TiYSQX4OOfvtkpvNcnI/9IujbpJRvIr0/ZMdKblAsEkIYDoGPlbpaSMvJxE7zYfuwt+3qwfnbA7/JuP0kAU6+vf/WS+94sjQKhWFibiTLnf/2rl1xdwfyCx+NpeLYVABgf9U98+QPXok4HiD3Mj4JaAlwCbJibBXRIyAqsCyxgsQ4L8wTYC7JITMAubwGwAmCpB+xEBOUTGO4YwCFB+mEvvvXN6zjYNRi0G2xsEbQH4ADPSUcCZO5gems+kgCku4cxAAN4gP2HnQzUAiJiowPXMdUxOy4f0COBKYgqkMo3tLofCdTjH8q3feTwz7bdzgTbWQ7c5eF3u9gs9gHblz/89pC/M9B93sD6c7Lttt9/fxnT/GWS7htAv8u273X9W8/hsJJPIA7AxX9ZIDYgGeCzweaLLV1yBBD5gJtAyQF13/qtCxQfmc3D/JSsA1QEwgPxtWusoI7jOWSl0DEHhDsB70v94Eil2398qz//+9dz4DrGD/Kw6rVZMs31GVjDyjfg/Tk2UBiwCjwje59keGUhp9r+mKn8zTHhPJfVYQFe/5Ekwxcdk79ySxwo4Ln7IkCjBBasfOzqtscariyT9HLA2ytRoufzbPPfwOe5B3ml/9rvXaxxIGXnJzE/4OWR4G4fvuJUAwKxtQcys7zc1SkGefuPesAJnndc/d4l+f+V352y/p3/+r+9/M39hjl8l5yv3OTah/17JOq32kGBc/eWdDywvH4FmN7/K/+wsWKbxz4/CUkA+mnjJ5Gk80geab8BRg6L/eoDz38CzwO+A9JZY/S5sUZlIMUvyam6HPWWwxDrWfJu732Zx/kGyfmf35npvTsbazTGIVVOyrbvF5B8fuv8/aey1ddNstkXnmTG64sqGx/h6rpro2Ah+aU61gYwwUdx4SRlkWuXjMUaAUNc0hq1Cc+DpB1ASfdeO25/SR8lAOh3yPl3bWwigA7jAf7uH8/2rkMS25UwdJj0PQ+TKHCY6Z2HdG5lkHhCOaF9JQFp3zvBQ19BRYYiSu+J6rj7ZTxoXEUquvvQ+LZ7VBuINReALaE0IGDUhI7XOBBsqy41Du19yOqm8SrQhIRu648scHb8nX/qE9f7KcAjwN+aT18AACAASURBVKHzBpwDIlowB8kUY1tu+fALCD6JbEBJ497NSJdUN4kC630tEVRCamUFmiv7/TOJ9w2gG89umyJjX8zwzTZlF2RsTgmqz7UPSa5Ui/odE52lj0TW1saJxorKY1yrLBtEdC3bysZ1AsvvPtcA9NYA9OTZ/51/6994loH+Mi/tQEDMzQ2eb/a5e2usB+jCjDWfkaDk8zD3f+HL137VFenrxv9ta+wPMNw+4tjEPbP1C9O/vHhSoMDeHTup4xN9JeOexChjI/LwfKwxyc3/MNIlegL0JYRKaO275GXy2uTl286uov6FrUbfe7f1bqWWA9Ts2aemhPF9vzeAc7ZGLbXV2q95iPmlpFUAujF3+9VG7qC542/wnBpB974+cSdESTIy7tEfSx5sG+CbTUd95yh8HY/wPYavf6xslwf4WaiTkWkHoOvzsdW357okacpJ068f33X1M2oHh/UsIafna/cJba9M5rWUEqrb2kn7AM5HneNjH7+SaVibTRtba2UDmLdNUjzFgxbJFYBxkvHt51iszsi266coGlxJ+ae++Ynfmfe9W/ZaX9/1kHDfMu6biX75oi/pduD5ZqbzN9/nFePZQDqAHWN+4h6HfV4966P6vuXb2aM8B6AD+9v2l3/6P//DpNtjnz98z199DPCxPOrg0QYebeDRBj76fVkHr7wAj+VRB4828GgDP8xtYIPomOhbQhIrPSC9yVIBlQIVTf6B6K2bWDUJK8jQhJaUJoYEL3TedyacfPFIvgs4Yl/vyR5gXtANO3kD6h85gUlA3g7OjYz58VzHHJoM+YL9J1CPgbEn7f5jUixgI7tcUACrlzQeP7fKXPmxKzYofmfh8Gd0Da53yn9Y8Zcc3mFvAEuBAF3P+Ly/9iTBvln2/YZZghHXuusR/J+A2Elm6P9YXcDnCYR96utTdwPkHrlGgBJGpcA+QJhk+2TmH1AQqA5A38DvBHSPjDvwFbAu2AvEtVSnpP46Pgl38tCCXcAbEsMFTSo/ieVAHCAVv17X3X8mmGd9ftuMdLLvwGyAAsCzYJSgXmXb0tkYEkD0AdYPswboczF0VsCUZ7DzYvVg5vTfywf+9a9OeQegff2rUydApi3Rvtnqm00uQL/91fdvFsz2u8z7BtL7fYPpH8ZCv4PsLwPQ77+9zP/8OXnODaADqsiXkxIG4ACZBTGxzTHAAaPY0mQjgewY3D+7jkm9gTQnYGiYuAdoJnvt2XN+QCgAf4LGB4DDENpM1QFsD5u989YvSCzp+Rlv8nNdrgeAWjusPnhpA8iw2El5k2ce5v7nnkBR/ugdP0CXfzc2PanpDbwBB4Gp6pZsOnYWaeqC/NVjxwHgAwYxs4YBfwBtCQ4di/w2Zq81T/KxY/i135v9+n9roHzfqxPfMXvrWyZ56MWTjKzrqr/l7z52E0eq3T6VvfN2bX1WZ9VT16ws5LYB0dVT7afgNyl6LN7KR56XlPvI07/zne+yhN/9k4spr31gmrMPGCWBA6JvpnBlcb7aSP2RpKthfh/1FAoD2s+WoNdO9G8j036UGEq+6NwB0gHoMef63HsrALTgbv/p2odh/daT1OoFuJ4kq/FXf/2rT+yzAt6vvTnvxI45vud//E8/wD7v2AGtJLQDBgLpO7/nonICGaqHjl3f2n2uXFQUOkfv3fqhLTu/kyc8x5XTfRgLgLP2bAOMumeXHPtRWACMSHjBEOcHDBTre/XV9YwqyumTtrettiHZBHDSNVFuwIwE7m8lDe8w7HVWDKOk8Pmn/Rojjlz86S/1kdOXHO/btklk0jdR3xhw73wepZa3vjnvNe8PAHhjRcBu7bOydz8bkzbeDcDuXvNN737zpyWpDuzseIFeAWQBZgEZwCCs9S2f2/4AZcApwLx9YvU17ga4dJ7220xz4LaxJlCMgs8G8LaFirExWwMgM29syjTGop1jK85gn7f9UqhZ/s8k3AG+mLmbkb7HxfMsLRl2ybWNPxtj94xQM5ix40n6k+zJF32X37jD+IXKkzH1Xc7dPIJKwAbOLXcv9L2NjLv79B/8T/+9AdE3ELuZ5z7HQG+8Yd3/W8jBOy6/c/OG7ttYXJw5C6/l5iYSZdXTHisae/dc9HxgjEtyaSxjjgecHoD0zAu8/+vbjS0ow2DnAtMBiK1n7HnUkzBzr/K8/jSXAaBTAWs+QyJesvOoL52ErfrU/gtor4yVFfC7Qd/6x/oFCUPal/bQvaze72PBnm0KDKy2tFMKD1QTJH6Yb42PfEmqzROP+tVzsu0A8y3h7vwdh2VHfZ+63v0wQN0Y8M4Ml4glCeWerNq6+r9LsW8J+LsfOvC89xg2+lYXkww1YyqJ3McqYKvJ7edMUgvVtepNwjp7NAkq1VHPWc+F5Asqcdoh64dJqDjs8kmcOGx+ILlno3eR5NSrHb/99EwA4icZIKn306Y9e+ZlmOcSRMzJEQp2QhXQ3Hths8OB57zQu+bLo3yB0wD0eS8d73Ms9JZ9jsvn/MR1+g3w7j2F9ND7jyx75dBGq/P+S5XQe1KZSLgPmH/A/3//x/7T/1fs87/043/9ncDzH/uPf/LffPiev/rY32N51MGjDTzawKMNfPT7sg5eeQEey6MOHm3g0QZ+mNtAE5mygZvY/M1f+a0vBKKb6DURasJlUlRQD2O5CXETqg2i9x1DRza5CdnFNj+gXoEBWc5b3ox8mOCdoJwsaoE33zFlTBg/cgKKPJW3jHr/JV2IDc5vb9hxZ0IMQBf8AT43KRaEMGHvGPwaAerOtT0eK6tgowDkLuNm6uzfBPnI3mGRKJ8gI8bNZrljdmDfX3KJn3r7YskJkN2DZR0fgE5CHQhaMAiDHMBM8nd7/hbM4ZMcYDO+yCfwgNntGOMx/emvXRKiOzlhg6tbFnwzogtkAtCBM8oIKBm/6VM3PFk3q5v0bQu2Sl7EgUiAu7YBLgHvW+6dpzop9T4L7LQvcAWAN8c7bJ6LNX9AESAGoAmA2Zq8u2Do9vbtmgWeeM7aT7KCOgqU4Svf/7ec+wbQdxAeeK5teL4kWPR/kuxtF6DfTPUNoN8B9Q2Q36Xe7yD6y8BzrMMNoGN0vczzfIPp9Wf1Y0Bs3ojYr9XpBM5O0sMGkIHlvBa3RHv3RdCT+kD3BZsUc9zzCRitffGX3vLulm2fILCNOb49zwFmfe9ZB05tOXjPQuWuTezEAMxxzFhg9gZRybVjTAG4JBW0b+DnAFZvPwG5grx997/KOQHJ5QkvweRiKy9gvaBuCy/lnu2eNezz8Vd+8SR3uuVcJRQAkTvvgPpHVr7/DvD64onlDhhtaf+OP96q7/7JB0BMyQqtJznhnafrBZa3b9+Vjxc8tlTH7/zjAc7u4a3veoEDRzdjGUsXC7360CbUX/sD0FumvRRgP2x8ktztm398xx5w/YCS/af6AWLr+7DCB8R/8/0nr/Zja8CKonbecwBY35659f8xh7dsN9C9d87I0J6+kDd2gdxA7sDzf/B7/88PAECdpwB/C4/0znFJDae+sFjoOzA+7N0DiBQkbuxToLiAcIDWBKHf+PLUb2oFnaO6w/Su3U0g/53/y/QTlbc+tuP13AWeV+76zvqZzqfvniSP83x5n7ZdsgKQhNpLv1FAwDrng0tNYMuoY5mPRO27f3xJ+3ceEu7eNQMgHF9b/VPbtkRw/9POajvOT86+eybZxXgBWHf1cQcsn3t0kixGjePIugPzaz/Kefn6nr5AOyVHD8SpTP1OFaY2AFBnB9K4kYc2NnpL46Luv6RScrZ3djrfV2A4ZmTgR8fe7PL+37sGwNC+tS2gOeC8Ne9ZbHMLRjwAaidd1pYa92GZG09tCyAgYG3SWBH7F9i95dqNZbfXc+elAGUfAI39AdPsmNjA+M5XvvIA0QHo2JuT+JkSVMDqLzzZ1TQeGUZtSaW/8s1rTAI834pQ2+bJOTeA3rprMPamVND1Acsx0jfrvPUGufvePQagt07y+MNY6PuzMYm2wzrA/aUeQHGIyod5CwB92zcBqb2797vc+M94RtIbK6fql/dzzylf7b63fSffeAZnnPzWNz8AZHY/zbmush/lAwmz81ymYnMSI7qO/ke1DFt+WMjHvkGi6PQvJwkAqAs8rw9obtJS/zT9wUkQrhzmD5t5jhFe/e/EXEnSFCaqf5ZZA+QfpbK5hjee2mWLZGeWVKT6t0z7Bs2pD3Tc+lH9YPcEq1vCpYSt9mPjIjlq2OmnXzW/qs4B6MbafTcvMTchA0/S/c5Kp7ZiIZevT2fJoa4loHvu2T1QW9vJ5ua6FsDwZpz3THhHS8xv6XzqyruYWhJ1lJb22wkl1U/th7qFOsM2rw0CzwPGqWJQbriA9SMBL8m+spGk7zruQDnWt+UCn4tnLK/zDaDbfnmi8zkPxD71avtdtp3Ue+UAkPu+SQzTBx9m+Waft5RQttnnkspYjOwEMwA69vlDuv3Vx/wey6MOHm3g0QYebeCj39d18MoL8FgedfBoA4828MPeBsi536XcCxySnOTFKLDYBLEJ2WZYNOlvgiaY1ER4GAUHPLdgoXcM2zof/0JMcwwVQS8TRsC6SWnbKqPt2OmbmUy6kURkZcJWkRUPlL4CeAdU39LtTY4vBt2RcO83SQGSDwDpG7zfoHrXKCgmkCBAhjWOyW6733g8ksJrEXwEkAsmdi3DSj+ekW3rWnnRWwooVDasjy2nj9m0JdKBtdiDwEDSxUA8YAlwbbOnC7RhJmICTEDsgOeukQ/llgcH8u57fAVRD9OQx3CBEQy17tGwG15/ktsDKpGi34y5/pvnL1A9sBvzBlN1A0DAQ8C5ZANlah/XDWgYtuC7f3qBIoC+gj0YouSOMRNJ5wMENoA+ZXjjvSugNKytI984oOZpu+1ToEsQktwn+X8sf+wuwPodYNduBav9BiS3HctcO9qAOVD+w4DyDahrD3em+cuk3Z9joT8Hmm9QHYDO01Cdkv6vLqd+P/8EuFI4ADBismAG9bvkBSwuPtXbZ5S3JRnMQMorYeON9y4JZEDyTlgBCtd+yMRvaXbAskSRAp/DZApYPnLgGKHk0QHXkjo2oz7QbphdR1qbdLTkGdKtm2F8PW9Ldrk1tvlI5p9+ZPvGkyoFAAvab3/tKf+LJ+aypBgqDwWDJcJMcPTzv38xwoHZEgwmmeU3/vH8VqCY33rXCCQkQ79VNiQSdZ72E7R3TVtetevuuJ/97X96ybPrAwaAPkC/vubqZ5MIPX3OANKk7U972EkTAuwDyL7znWvfvmsb9u87Jj3QtTJMglEs3pUkct3fVdfDLPzMty7gH9Bf+fVdw4h887uM8/ahfsD/HNPa/WOjUXD6SlQ6v/X/AvaB0QHpLQX8WWhM4PzF+5c/+niAv/HelcQiwL7ZZJ713qE7UMyHurEGidOO0bED72sn2sokq/z9p2sDMNSvbqZkoHuAf8eqX1LmC8A6agjDKjzPZPcDsO2+7mQN6gudFzNcYoT3MyUCyieY4J4xgBP1ifoloJkkrz5Xz/1v2O1f+a6ccNevzWNA7v6A1D/552EKpiaRrcSRv63uBvz6/FNdtFBOsJAQptRQnehL9F8ApOqya+o4EjLIv1OO6T3UuKx3BxZ497pxWiAB6yCJpb33sLTJ1pLMBXIAFYDqgWS2AxjsC6DfgASZeOB5x29c67NxLzY0FrnxI49jIN8GptgYGWv1nXVO2/mbG1dvmWDM0bsX+gbd2TD1f4A+wBqA3nvcmLgyD6B6xuNYyBJCG5tQsaqc1IqMZ4xLNnAuAdRYpXLyWN5zjD02d80SXQHmd/b5ZqHf2eLd7+5ZIHoA+h5j3H3Qn/PZ7r8AdGA+iWr3VnKvREg+082pAp3NuVj7SDa43gnHm1oCmkTA+nuJOpJdelZYOGAfd55JkjmJOx1X39yzJ7lzElmPYpb5ifJ3f4bFfcb9EqYo7cyY/CQ0S/AAws/7ZilMUbohXU5dw/tasplxsQST7nPPk3tQ3Vfv2vO2BaD2NWPpX3z7z9hnbZ9ufX11rS3X1u4A+h5zUrBon5mLnfEhNa3OVT1X9/WN7iXGuf4X2E0hp/N7Pp5LXu36+j8pduohAPSWOwOdsov+3f/4jAOfJXTwEfecScKpD6NKcbd66DkdNvpJyu+56n8szyQy9I6nRgHgrl+YMfUZg1ZPEsXbTnkO+xzDXEKd/1NaMs+XxEOanjy965PcLq7BtgMLXFIUAoDfyKhPH3sk3CmcAM+3jDvf8wtAX57oHzjGAcwtksAA6AD91sDzIT2cJC7sc+B546DGWbzPjYu2bDvg3PJgn7/6GN9jedTBow082sCjDXz0B6YOXnkBHsujDh5t4NEGHm3gCUTfUu5A5JYm9SZ6TayaPAWit0+TNiz0JlqypUci86++eXmbA3IBtqQym2AH1APOTe62xOPOnt4Z1gU6BBMF8vwP22TLM2IQVCYBFCznDQDyXgSiTz0c0N9EuvI32e6YfSaxLjBEZp78OV9IvnmCA4J6yk5ScEto+w4cV14A+WZGkMnrOF0LeTvX6do7TvVeQKHAQgv5x9YYIMpIhnMC/YetjBUoCIdliekJrCqINcywgnRnfwzdAhgA4AmuH29LrP7KQ0Ye+LoB9AJA2wOdvzmQhpz2JZH+xnuzXwE4oELBdz7u9rv+cwA74OFIJ7/znT+TKIDRKYh/ybgflk1rQbDNpu3/BfcLRLUe6ejf/KPLX9iCrQ+4A9Rv+XYMTTL/vNLJde4gJUYKSUzgeftoR8DzgoLYagWd+Ke3YIxok1jo2z+dzHvgBBY65osgnmSIl7HP93e+thsY3zLvzwHrG0B/zvv8vk1C0ASqT0CtZwVrawPE3ZOCs4Kd1W33FiBMHnWYMQdYxBomd+w+Y31iazsX0B1LerPFtmTzpZTw4ikQvhUNMI+3fzHGUc8tkDrAjR+54/U/559n/BwfEKs8XV+/S/wA9nnurcnSA2ZJq26Jdn7h+7r2Ut1IwMFa3wD79EvvPDFqL9/xAyi2LylsbN+eRcxeyQx8zAH5ziP5hfR75+kz5YpR93j3jy/w3HUA28f//XiWup7qH8OW1Hx1XN33X1LalaXtrQMHSvLhG495C2gdD/QTTHdu1+84FjL1+nDy7ZOMcTzuew6cq/vatUpgUPY51rETAJBfPumH3YU5GfhKjnu2LWsCag8Dyhz1hvEJXxLdtd+k1Xt/Xd7nn/ziBbJvlhxQuWsYRvWvP1kz9Fxf6jK/csD1F+//f7/133z7km0PSO99yft0GIDvfNcTtr6bFUe/sSzhe1/fWvk6TtfU/jHQG+uQcAdosVXYCgldC4BIAkZ1VRujYgDA6D/Y8ADtSQKr/S/bAUlckmhYnQDUsRt5x/Z74yCS8G3r9620sK0Ehn16mJKXpO95tj0Tktf2u7f9qOMM2/LYXWCrK0/fq8dhaJbI8+mvzX7UEObdfpipLWPlYJxxkjdGVeQkZrSt9yEWae8LjG8Sy1jlgQmte2cBggK+yAxL8MTyu/uZAzw2yGHsjIEKNGpNxjvAFmMeWE2piAoS6XbjJwD6lmpnOwTQ7H/jCV/S6GFMjjXLAtCNwYE/zm/sCkgHoG/1pBZjXeNdddeifMaxwzg/TGosZUBqn4HoGM3GIxIH7tdrHE0Va7M+3avtgY4V+70AdNu3fHtL8u0B6LUZLPRk2l8GpG8QFWBV3SuHpNuu/1I2ohpwmOgzBvzc7zyptpyEUCxpicszZn/jvScrjsP23u/nUYP6/O/PQmHEe4rfdf0lufTtk94x551/WNIXMF5y51I6kMQhoYM0/1gL/d1vzLPYc9j5p89447253n4HohvLUmKpb6svYEHBUoWiinkOSW1JwazIsMEvFatPfvHpPdJ4/Y33nmTET9vruq56P8z52qbf+jxjwFPP2mnXC0B/bqxJRaJ9JHkNK/okClJm6X7V55knYIuTWse0lrRZWSTEmi9JXK0OWGbcWebAcsd8zhtdQpPfJatVPzzCtyUYQHnLt2/p9q0wN4DyUejo+dpz+D0v3wC25AJJG1tBoTY6sYcDlrM3kLTFE/2+uJY+Sz52XufEQh9J9xM3MTfX74xq3YlvAL+B2jvGcQfLAdF7+8VGPzGRS9799NOS8p2jJZB7y8VbNvtcGfvee6u6r31KAivus9nn9/ca0H+zz/+9/+Bj3/kPf+rn/8aDff6ItT5irY828GgDjzbwaAMffQDoj0bw6AgebeDRBn5Q2sA3/9HXf2RLuZsENvnGHGlShYVesLqgQpMrIHqBgCZ4BSOawAnSXR5l55gFMmYCeuTdgM87wMUr7c5EF7gj2W6NQUI2fQO/QPQdqLMembgTfCMBiTWDBS2hQCCla2+yTDodsCyYKACwAXze7oKQGAm83Efy8mc++2cAdAFCjJpdbpNza583I1swE5gpYCi5QSJDgbACDhIdeMULNnU8wc0NMgP3NrMWsAacE1gHqm9mNJAXM503Z3UqYLKVBICwF6B+pPEvttUnvnxJum7/ZkCNJAR+qZg2W4qSBy2Jd0HF9o8x/nf+6//2Yv+RxwaMdoyCfwUBeTUC0zegTd4Yewb7FBt2s2yBAsNGXAx0/sLORa6wgI59SR4DqCxb9p18O390ba77gFlDxaD9uh7ysBYJDDw6JTlYMNL3ts1Wv7PQ97JZM8D453zSn2Oj7+0vA9AFru+MsOqClyNJzi2nDHTD7te2ye8DMjd7m1wxNq62Bmwv2LfBcwzyLZsuOQRjfQOkQDfg2chpnjbqGQSCkd9swej0vNzb9JZ51XYBnsrkGJj4W4Ka/PZ+/kmj8+u+AMPPfGuuS6KC5xmY3G/Y+NQi1DMGuP0wr7vGwOZ+59vpP3eWbs9g+wFG/Z6kOb/PWOrtp277XN/QdxLTjimQry67ji11Tj4f6BkQALxQ15QG+KR3jI5Fnl297X6j7eTlu9b+s8H5y/v83NtJEDr9ERltMtnVv3aJadh1jTz5YU9LYGBvgT3df+tnel7qmzajrvdO113/1T6k1ed/r3/1SvoA3Lvu+iXe5y197p3c51hS7Vs99jnwpGvp/VabBwKxLeF3utln/Y5pDYAh01+5q/fGMD1H7Qc4573a/6gb1E8rZzL13ePK0Xs4gHRAzFO/6rXjd60tZM93e6y+SbFjqkviALh3PBL9kxzy4kl+HcuwsnmmJWkMgH9k1Su/RJraXvcMgAPgAbxrn5KCMMPZYEwix/Ht7dqB/K0vP+bTRmvz1R+GusSWzcrvWPrMvlem6p4qQuuODUgCFEpUqC32/3nnffKLl2f6jF+O3PEAe6/96gUOA8C2mknLllbHHg68KOmi8VTr2jkJeONU0sTb07ftkkMb127G4QZVHcP4coOTQKbe49vmB2t+SyRj125bIL7QAHQgP8B/s9ONJ7G2t8e5cS8GPwn3FmNeiaObhT62Tln9HC9vvt6X3/S5Nl7alH6oLAHiN8PcGPn+2TxhzynuPufb63yD51ji3asf+Z/95X9m6X4GopNx7/uHybfffbfbn/w/EExdGpeRtwfY1cYD+mrHjT8lVtY3s6GyBgxWx97FlD4kfXk3UF5hC6E/HHDyxfuzmD9Q6dK2Zhx5xpY7sWErffFL53W/lUYkQklExfZmj9MzvaXGAcot9XvGMGw9JGp376rj7gHWee1XAnXnk9g7yRtn7Fd7m/HySSbFYPZeqw5ZIUhmpaBQm6uNkcSWMOGZwYbv/5LvnJdkO5sb/St2vT6d8kefr+fnPPuUnrZqV2V/DhynqLJBefL4u54385yEO2UXPuK1l+7tVpWTYI6FvZ9Dz6AkJfYK+ioxhamnI5UOzAZsV+/e4WTYa6+VBVjemopF+1V+QPm2DWjdMdlF2Oc615Hpl2TfubaanTjGlm/HFt+A9gV+L99zYPQkW/3YT1/guf9LwtJHbLn2+7Kl27HGseK9o1pL+mI1Inms/QLPi/1sVZ47eA5sB6D/T/4X/8n/vrhSVoEP7/NXH+d7LI86eLSBRxt4tIGPfl/XwSsvwGN51MGjDTzawKMNPLWBJjhlCWOh70xqgQ/yXkD0AhNNvDYQ1SRPoKmJr2PsCS8QvcmwoAj5MAxpkmKY23tyLYBICm5Pyifz+uxfkGCDx5aLzXLkBElFbvlHASCM8e3N2G/kBclgArhdw2bhAPXJz1VeQbjN2tmBJgFAZdme1DsAugF34DBJd9d9930skCJY2brrB6BLGOg+dR1YTv0Hq4kk+ADmBzQquH8xTpdMM6B9mNwvvusnjSEzzJnDiCmgUXAQiE4VgHT3xTRfkvKYyyOHf0Dqyx/8sBcBBOMH/vpX59jDPDjgWmxCTEwg0EgbHxljwcTxin33T5/YfO98ZwA5gbrqAHu08/KtLoCIFda5A5+B4FjKgpYAi0AGIGlA0EhhHgl4jCyM8Q2CY+xgwJCs3cBa9TxB08986yqjOgMm1PamnIfJsWXdL8/0E9TEcNPe3D9tcCdgCIBrl5uF/pyU+wbQt1f6HTx/jr2+11joW8Id60iA6C7n3rauTXAZiD5y1MuXvm3AN2zLae9HPhiYu2Wvu8/kiQGWAn08JEl7A88kemCKTZDyyG5jW3nOtnT49lvnh8z/GChPArp1xwJeA/CAT12ztoPltmXdBVGVn8R65/B5A/ASEdr/Uow4/cRm5VeXngEAHUn3FuAjtrNrIeHe+YGS6ox/M1WJAeXe+c4Abti6BahLlnGP3IM+Vy+X5Pm7fzILqVjn2P+r38Dix97dIKfEjM5ZXyppRzKGRIhJWjh+7NqVc3Tt+itAM6YxVYutTCDxYSTbT91fMvCHPS7RwT3SLiVGkO9tUd7Z/3O/fYGhlX/Y42wF3vqt2WfAgK88AQU/e/ZhibE9elmAdN6OWT86KglHwj02d4H96p6cO4Z6n7HPOx/FFUAEphxWu8A7YKB7cXnKfv7Jl7424d51nwMW+p00cmsgQv+t/MB6TDBApAAAIABJREFUvqv9Xt/aWMk2CV+e7c7H3sC7tXr3PtP22oflALCbFULHk+jR9VRW7EJADdAek5Gk+vXePG2FfQWLAn1a19n1A7S7n5Jp9lI9V6/GCmTcR4nhqBN0fMoJkks6X2UBhM877Fy/tty5r/fdabNd87wLT8KYtijhg8T7nPMAiZJtgCI8jiUuGsdtCxmWItjjvVe2Dzpf9Uk6fe3NCzQHmDamxSRvDMf/mq/49jsH6hrf9r3/bWnsbU+0VYlsdy0z9jtjxv0e3+fbLPkNoBsXGpcb4xqTA/eNO7Eid4Kr39gRAcAB5JNYexQBrI2B3RflNmb22Rhjj8HNESwSL7HPgeYWLHx1vn8HoEt2iGlp2SA6FvpzUu7PybdrE1joAFZznMZIxn5dv7mV9jrs2jefxp+SL+2LbVtfRAIee9Z/sYZnPHJUIki761M899v+KDCRT3ljSPOQnRDb+SgemF9W7p4L3tLAyca0LBYmKelYbQCs9Q31JcDdPpMzn3fq537n8snuvJWl51FCgzqufvd8acZ9h6FsXN05jbe7rsqGcc5/mw0Fr3b3hQ1S7Q04Sipe+6z/6LNxiQSBScw6il0SsgDnPtd3k3w39un3ylw5yLfXno2juycd03uOigkPeUD5lnPffuh3trqktNbawyRq/fo3r6R4ySv1BZtt7rnsXkg+0s9gqF99w1Fim4T8A2JbAN9Y52T7a9MSsvYcydgd6N09pzCHWT4qT8emzfNBic5zIzGFckqfJbR7bj8Akh/wnFT6cwz0Ld8OPAegv9QH/QaW669bAsUvi5C1j5gO9jmAXV9U3xVAXnxgs8/bZ1uVUE+5s895nz/A80es9RFrfbSBRxt4tIFHG/joA0B/NIJHR/BoA4828IPOQgeAF1ww2WoSRc5LUFBQoklUwaUCAuNneKTQ+WsD0GVptwCdrYHW5NxNok2yLXeZSP8FpANeBT27BvKVAm48wkmeCzAC0EmbAdCxPiYj3edzHR1nA/bbK1LwUIBR4G4zczo/ycnKQU6Tj3pBD7+Tzt5lJoWHMQzIx8R3LgkGQFDMCd6JXWtBhNZAazLeI0l+JBQvgOvFE3vt8oA9DBZAiqDexYA+4C4wuMAFxsT26gOq8rQHugoGAU4FQrGot38uyWiAf4GTjt21bC/qrgFIXvANy/PyhXzxB7MNYN76OSa6oD7wp0Am0HmD3gU2AQKYxoAJrGSgEclrjJjN2gd2j8fwYT9i8lx+kgeQEuzkxw2Yal/Mmg/Izn/6a5ek/lX+4wvZZ4x/yR7je/pXn+wDgOEk2iVDANM3cL633RnnQHTsGaB4oMX2Rb9Lvbft7osOPN/sQQD6c8FsCRlYmrUh9ee+uIckgcmCA2X6TdBZm7iY54E2R5Ka5+J4GH/lCWDH0BYsHtbyYYP3rAE/dxLHJbN+QGM+5YBTShHafMfCNOZXjD1a+xi58c/99tVWroSMAz71f0kekggGkD4y6tUfIFVQetrvp5/Y43cJ53l+jicrBjqmuUQGrFOKEfxWu8b2I6ePQTfg3emTel7JTGOf3xMKMJ4FqDG2+Yvr9xwLM7mAMbC15xhoPok3b//u1Cu59M7btuo3Njv5bex3ADbAHbC9PelJb3fckd4mlR8D/N0/vfoyYCT2+xz3APbAEAB593Jkyj//f56+S/LDHPeN9y7Ljso0yRN5wR+wlQIA5QUgpj7rSgY5/RAf0ZGqPaoa2tn2tK4cGOhtb//2CxwPQI/ZHYg+UsVnvNI4I5/x6gVzsnoYoOcoFpBjH9njbC8+/bUrOYAMbp8lQ1TPG7TBtA9AuOw1Sug4ssrk2Ld9Adn4/t/7OfCNz7z2Ov7mv/lH81/nJLHveAAV9gEk3tlK7OQKQEj7swzBAm+7xJu82SsbUF3yi3fIBq76L3UAyWOdi4UK6XS2B5j9nR9I3TV1XyToYFpinTuX9zS/Zf1q+/Tcd47eQTuxD2N++pdzXIxRQB0AXd/UMgkAhxFr3AtkppJkPLkVegIpWgNZ+w5c7fOWaMc4B5RjYpM5DpDYwBIgCUsa4Gv8eHlj/8IT0xU7W3LnTroE/hv/SqB0fVvOHDgOBNpy58qs/C0Aoy3trozG7sbCxrttb5zLfsHYAwCJ4Un9qXsk8bZr6F7t8Tpp8I5PGUfSpTGKcfNWL6qMEn93Oe8A+pZzx0B/Spb42HdiW7b8uz/yP/i/GVdsKXcg+pZwJ+2+2Z4tjVdqM4D/ymxtPDaJmcfKRzKEMbwxcM/wJC+dd6hnoPbPymeDkAB0jF3vnivh7SjG9OynyOLd31p72upDAPTtXT/P7OeeQMvKL7EaI51/+54jALF5W+sbMKY3S1oSY/tKPpZs4h503+6JHsapPQ+Vg+XHvCN+6YmRDiQf+6PG2EcFYct+z7NXssBRdFIGCRnOu5+LgNCZK50xBiUdScfdl67ROOLu8Y557/NmzUtm3ePuroG0uYSqDZB7Z+ztEqyGcX5k/CWnbQ914HLr7nH96E5e0aeYrwPLPXt80vWzO0FIgj2mOaY43/l97mGgn8QMfYl2NPPNc59GVW3J7dcWWZp1bymyAeP7/7wnz3n7fcvV77iGOMadGd53PuR7e+3grmRim89bxh0bfTPSt+/5ToDCLt9e6Mq3vdF5n+uTIkkU68m+r8/A8y3XjnlemQLPW/7Sj//1d4on/dh//JP/5quObT2WRx082sCjDTzawKMN/OgPQB288gI8lkcdPNrAow082sDzLPSPvfbWN3/y59/65xtANuEyoQpEl+HfpIosXRO8AocY6FcA7LBhgNH72FgoQHQM9C1Rvifhgh5bilGgj8c5htAHgorHx1kAkcwl5gTpcEHFDZ4LTrX2f4HU+7I9IQVvBFoxdgQiC2zIyN/y7QIv/b5ZNa5Z0HPLaAs2CDw4huBD5bizLQCyBRskRUzywy9/4wMMYgB1+5JwFqQT2AFWBQIUcMOcI0cM7GrZQLAANoay4CbgdLMnngPQJQ6QhXd8DFaB9cAF1w4EFPyvjAFOBa+wWTeIsCWKBa+wT8nFAtcdY8DHwwICgGOxDLv5SEFugEx5APLYtZV1s8U3I0YiAvbgZuORtC0Y134F/wDoWPICscO6Oce72Obnd/ffMQRLMc6x1DGPAN/k3vmfb1CdvLv7Gti9Gec76LcZ6Nb2AZg7vraxvdE3cL6B9OcA9AkIfezjl6coX+DNCgL6kHb3PJBsx0wf+f8FXgLRSTYX8OMnTIa/9oSF3LHIq2OMY6ICzp2zZ6621/9qj+3Lw3uA0iN3DNxzTZ6FDWSzOLCtcmEEY266BmzVvnd+gFfnHpD4BLS1SeA3kBSTdGwMvvDtaYcA9NrqAOCHSQpII2XdNXUs3uIjM/sP/8llwVCAXcAZONl52t85yU9LkrF/Ze56AguA8JMoEJj5zpNFBYbvTqbpP+phEhVOULyFXPokN7z4g1Gy6PPcx3e+c9U7ufW5zt946lME2IEEPpOW7/soBRw/e1LXHfeSfj9JCxjy9QGA9Pr86ouFwEiIH1BzEixYFJz9MXz/f+zd3+t+a37f9f9AEASrHqjFGipWWj2wKEJAtFI2RbAp5ESiNSm0KBbtYJSGGZJJ2LsZkpAJu+5x2mYSJpOZOE0dRphEHSwkWmmdVD3QAxWLgif+C0We78/1WPP+Lj/fPZP+2nWyDhb3fa97/bjWta51ret6v96v1+tjh13fMQX6ay/V5VYfGF9rVhQ/8StXUFpShWSfP75UByQS9V2b7r8C+8DzPgXFqcywRHAOAFHnBh50f/V3WGlY1JUfI3BL5QYWBNSQDu97+5O01we4L5jj+uef/tr/OsdozFT/NH3rjx7G/nkPSHQBFg8TbqlZSLBwTwfkZouwlBwAKpJsxjP4AOfAMZ7hGIy2w8juf2oBkwCQHcFhirMJcL8lagCxXf8A5u+/MOrJD0tUwBrVTiWGKA954o7fbwC9Pk9SnvsnqYNVALUG7YMM76VW84lfmHL0nmJZ0rGMnTClgTjAL6DbZlpLVvSbXHnjri31jnEoQXQDLiR/jdecz9hxA7/b0ge7d4717pev8Z1x4pZoN8bF5tyqRlvSHNgDjNnjWqAXNrlrAQrydL4sitYnGyPj3MpBQlvinnHhxSw9UsoYyd1DSQESWCW2Vo/uz7Z0Mn5unXqUoFCZLVuqvuU1CXf+593TgPN/5nf/nh9u6TsG52ai321iXmOhNx6hZNBxzWe0Jfdw+6EbkwHQ1c3Mac44T0LlAIVnHD6fMdM/9ZIECHxs4W2+JbAxe9uezPoexxuLVq+SfM2T3Dfn3UkrElYuKe6ToNx3HugSc/TDQHNJuy0Y0D3rUx8//CLtz+9cHUvGrb2RVtdOtbOuFXBcX9Oxgdn9b0w84Pm7L/VMHrw63ezzrl8yyYxXz7PReWtDlW1kx884jnLQHltJHqj+9Ynsd4w/7j7oLBCM0a+51GGfO479gOMdE5vf8TbI3ruL4kvrJYVRebHPtMGTfKTf8LkT3iUY7WQd/at+TXzg6ruOjLu2PmPtI90ODOdLXt218EineEOFgTLDjDmybTrtsW3J8xujA9AlSwDPLyWHA6CLGYhh6D8B6frUu+w6YPrOOO/7BZgfv3OA+fTTZ90Gz/c5NvMdoN9nsRwgPq/03VcFqNcXRJog3d652k6c5zXw/F/7gf/oLz3e50989YmvPm3gaQNPG3jawDsPgP40gqcjeNrA0wa+U9tAMltf/MIv/f0/+Ytf/5dIuW8QXVCvTyz0wNb+67MJVH7oTcYKEjSxajK5vfoA7vYDlGPfWAQTd2Bu+3xjjQhM7AAmdjbwDYCMMUumGmBOUhC4vtk6JuvbJxLgv1ntJMcFKJWN1Odmfssktw6Q6FiOK9i313fsLYknSHVn129WegELMu7tt30xMXcKIhQEIeVe8Knr7bgXaH3A0YJlBRsE4IEmBXIKbBV8IaEo8D3AyQHTgeYYKcDZjn2xVpZM+2YVCwRtQLX1XacECbLbQMotwTtexn/y56d9dj4AHJBDEOvu64z5huEJ2Oo67wsAE5OX5PUOMl7y5+f6MUmBS4A2QTTsOv6swOpLEQBIL1j6iV94YcnwPw+ATwLz1A1m0vZ67J5vdYDNOve5JUGrb7LupCKx2Pmk22+2/b6Pz/0SvNyscvf8zkC/3+s+N9N85Pv/6E+/0Ra2FPxmoW8AffvX3v3QW5Jh/Vf/rf/wr2GnzH04YHltBTiOEc63eYNX2+t7PHY/+cK8BVrxD66NYeJK1ggwxTgFImN7YbkDZDFAJVpQUuh35bxbKAiSKsPloV5Q+72vzL3EONve1gUJMYwxzoGc7TvM11VHwFbXK9GgfUh670QCzPDxMz7PDAC18rU/5ugAcV/4jauPKejsmi/v9XPullF2+MyvzXk7R9eBVe6zvgtLH3sfqx8wLREnwBPTXQINFQpJBF1H9a8PIDXddvpOLC+s+/arTnjPUqdon+qh75s1jA3eOXmkA6w73qVacJjzzglAp04AmC8gLlFgkohi8a79Avvdc+11J+vMuUoCOM/CADjnGOwLCjgDbxobjLXGadeC30B+bUQygGSCtiXhHnhOehxgQeqXTDg5Vsx3DLoB2w4AKyFFEhagRmIY0IBtwgbWJ8ng9PElW2xp8e5FZRwJ9/dfkjX6XXC6PgoQNQoJfM3P+7X7N8kn5700SRenD99exft5BWxTFtCOWwes7rp2f9P1AM9rg+23/ydJD3ShtDL9z1kvcULyGfuECxw/fdkoSJy2W5lYP7Re8op3Z+soc2BhUp+oHiRw6I92QtNWR5Cs1n3mtwyopd5Sv3e9I3/oZ2f8A/AF0t6BcgkbxmrGXPu7MRi2IACpcbTx4ga4t2c4mx9gO0BXYiM2ORn23quV2/c9djSuproERN9j6816710KWPG5meTKsn2MscoB/+oLY94Y2PlsI5l1wOCP/enLoxtINvYIRwLc872vG3u959aYfUvFmyNs9u+VpLkAzTvzfCcKbAl3gHrjh2GLxzz/3b/7+wONfs/v/K4/+0/8I//w/w6w3VLuLa9JuW/GJwn3jl2973kRJanuK2YxNSB1Vt0EFgaOtY6UNxBd8qs+mrqOd5ux8CRAHWC75xNYKFHFeNS8SQIExaxtyUWOHyjO63y/HyS4SGIxd6Qixe6kPqz3uWQcfVf90Miq/9SL33l11X0Fnkvq1m4A/fP8fu/L/e3ZwLyXLAUUlwClnJjxzWfV+3ig/9hL8oKxeuPTnVRSe6Gi1L3vv/pI5wRA89hmeVMd8KCXJIgBjpFvXIp9vhORGyN3j1iMbAAdSP7acoH2x9oEmN47RN9NsUUZuhfm91sJTRKNxBAAur5RXyJBfNuhUZeQNC4xQ+JH16WNbYl1CgGSQKb9/viX3pBtB4JLwNH2+43R7njeI2Thr3fOebfsuMYdwN4MdOD59K/5iC+lEoD5BtIvQJ1k+wHU74lOe8E437+3H3qKgsqJWd6z8k/+o//Q9EXiPKTbSbYrGwC9crR/c6bA86TbeZ9/1HGtZ3nq4GkDTxt42sDTBn7fd0gdfOQFeJanDp428LSBpw28DqI3+cFCF3QrUMDDrIWce2B4wGsgNPZEwYEAqoIG9h8Q/gDRm22zAXPSlRuElsHu9/YV52W4/yd12CRbAMFxTLp51V0M9AOw81orqAKQ3sD5TNAPy4PX35xnyatv2UgguoAnAH17SNpnA/Z8KwV8HIMEngz9HaTdCQZbjhNDWxBiAhAnkQCYPnLfn35hmnQvW4DxGOh8vEmFYyAAhXjvCbwArgdEOgzXAY5OwBsDDKgsCOdaJB9sr+stDUlhQPm6BwBexy4YTqYaiNk11C4DLwo+tg9QtCAdL2FgIVCPrDAWum0A5+R0sUjI1QKgyBFv0BrTSt0IFLYtJknHBt52r+YaT31h7QuiAuc75sizHxluICcQCZP47pEpQERu/pKd/xMvfpTAciB7dW4964GdGNB6vuiY51vuHei95drvTPPXZN3vILu2sFUL7h7odxZ6v7HPtwdp4HkBcf2f/qL628HjzcbF0u1zg+0AYPLn/KxJwGubHX+Oe0AvHtMCp9qE+ypBg+80AFRiB+BrgPwjkQ5cxRa/bBZOYkntub5OWQFP/R5GU/7O59jThs9zAhBvnSBvS3UF1JOk4nhASwxbyTUAZ76ewDLs3AF+338J1vI079ik0gHogZjksCtb33s2227Y95/7xsXoBtptKfw+uwZs2bbtGO2r3jHAMHrtS9a6ADNFjspGfpvfaOuSza6vdC+A6/3nWBJ1MHtbh61N6lof0brqcVQP3n9RHwDG81AHzFdXAH+e2+TIuybbaDNt23rKC8O4pkZyEo6A8vo67Z+CBjDE9WqX43X73gsDEaiyE0+6BmoO3ce2j/kdgE66t/eaBLDf/v3/8SXn3z0DzPQsD7B+2IqYeh1bWeacH//SnGsSJA6YOyzHL/6lK3Gja63eO0fl4TsM0CbTX/ljySc5X1/Mqx0DHWN92sgBnPmrUxKQKFKbYsswag3H4947qbJ6Z0lKcd8wwNunMvR+knTTNgPcL2UCiiqXisHpS7zvS2Tg535te/of/aK2hp044HjP4Rf+p4v5jj0JRJpkiNNHep7ZKnj2N0B+2cO8++UBnQa8ySbhMAUlbLCK6Ri9m/TlEvoA6JLD9jhkqxEZf/Lc3qDwBqON0ciFS4A0hsE636xiY9070/vO4MamrgzA/A0qdR3GhZIkd0ImqWoAuyTMfe7GSFiTuxxbihkY1jauD9CuLjb7VJ2ol4s9fkBYY1IMT0xeQC3gHGvePTA2l/hgbLzry1j8skQ6UvXAc+D4ayC675jnwPMY6M13Gi/8c//cv/D7WgLSf893/Y5f5SG8P4FTb2OgA9Ax0AOpzFu6XvMM1zBe42ecxcaAekbzspbmbZSO2BpQJmLPIIHLQgnJWMe727i6Y5LRB5BLgNW+tnUAAN29lGyEya4MxpOe5QBJwG2f9X/1XxJ2JKlJhqouzNW6VywTuv9AeUkrO4FCokLlkyyFfU7Fp/rtHOwFKCMMaH4A9VF3Yp/QOPk8b5JhGotKuqB+1LUaQ+zEvVH8OYk9fepnt9IVhRHzrsraPTMXcD8kHneu7uuWat/sctft3cLjHFC/vc8tEr4kG1MzAJ5TP9v2D1jZlDguJvUCl/Ul+pf216Y86xQMgOD68M0YJ78uCcfv/X17mV9KAj/0sxeYjlEPkHcOwPtmpPdsTFLFime4rtfAbv9vufbtLX4H0IHn6qx1VEs2w9y6O+vd9y0xP4kM3/MDl91ERIgAdkqDJePMOZfveUv9H7AfeJ50e4lESbc/3udPjPWJsT5t4GkDTxt42sA7D4D+NIKnI3jawNMGvpPbQFnD+aFvKXcg+PZCbCLW7yZXTbJiPTQxLiBUkKAAQdnJbbO9wQr6bLl2ILpJtd9b2vLOcuGpbGldgS4SbwJzGNSCh4J25B551mFt78k+X0o+bgJ92PSYMqQ+d4AU20YAVuBAcA64Xh1uP3RBAv7ngmRbSrRtBTx3oKryYRDxTBSI2PWNbY+1UpAA2FxwpSBIQIRzbwBdwEIwpcBN30ei9gDFwHTepcAJrBbMVQENQT2egepUYJrf9fZCB67fmchbchybDIsNeNl5a8O1045ZPWBzV64J4B15XCxfPsek1TH/MOn6HmgXMDCA3Bd+Y9iaPAr5YJO97jxYQQBpgCqJWkGyloKMIzH9qb/wEmj+sV9+I0hW+bHBgdZbOnl7VG9AFlsdiFSdkWq3HuDv2ED3fc5+V55pW8d3UTnuySXa82aNA8MB4tv7nMz7HTi37d7+tQV4/jYAXfC6JeZYwe8YFC31fxtA5z+MtQVoBuySEL48vo/8cQFGUug8tGuTgCXgd22kez+ekp9/8Wr2bHXM7hsW+5b4BjADW7HStyzoMEAPQA/Q1EbaH8MdeEn1QED9kl0/19e2k5xxQHHrNgN9wNN3vzzXRMq+7bFKL0D901+/ApUkTAWRN0h7JQAcX2PAL5C98rGMIGfdUjlJU3eOYdd+7gW43kAxSXVKEj3H7dOzzR8eQC7grT8Y7/JT15VpfNDPvQNmAuHrFwDOnQvrb+rlyFi3jMz8+//llIkPt+OxZSCprf1cntULRO8c3ZcN7PLHVn8k/ifp5zClsQPdJ6AC//ctGd5xOo/khtYNW/39b8puUwa5Eng++QLKYFUHqLCVAMA7TttWdklOPSMB03md977qvcSCpOe+fnz62gPOUdDoHTb19ud+dcYsATVtQya38u1EE/e97+TQgboAX3YYWJXKLSkqwLwykkFuaUxR3+f54lnvHTNJbSs5p/MHIFVXtSNyuYEYAP7OtdVUlMF/bdcCrPY+uhIpPvjaXM/0G++/tE/bae9UDSS07DbDKgAIJMGDxUvl9Vzo2ySiqBdMdv2U+h9bgSMdz3Ki4/G0Hcn5n3lhX1IgABiR8d1sZuMZli9A2pbeT9uXvHdW7zYS53u8BpiV9Lnl27dSkTFb7ysJZ2TIjTuxzzGe7+C5c2zFIuNPqkKSQzdDGyN92/EAnwd0X4ztDdzfmectG2DfiaAbLLL+Lt/sGoz1jcUHCD7qEZX/Gmsez2LqQpvR3L1kD4N1LzkXUxtrf49ld0KrBEzJd3cW+t33/C7d3hJIG2gUeB5o1GdS7v/YP/jb/p/GF31iou+xRuNPYPprAHpLAJr50G5H1cce/xuPXfY8Z0xdmwX0egamrb/30l9JUqHywXqp/qVP4Hbb6N+mfR0WsLlcfVn3lj3WbnfbtovPOcsFikdY0zuxk6LEKIacfq5P/VTjo/oKYDbFBaBi9dl92u1l+5Hv+9r97j/1ATzWH00f+sHXXqTzT9vENJf4QfUJU7oxtGeq91HnMQ7t3nbfO6/+Xj9ILau+T6Jx/cS8q45NhkUSQQlkvRsm6eqw5L3zugfmy61vP8B53zcoLvHZvMV6YDRW/gW2f/4vTrlImBvPjgx+9/kkCJlTS7rZwPhmoIsp6Asl7O+EcfW77TjGD/0kQ5nLYIzbBuCOTS45x/6+dz381QHzjRXIxZN8t99IyB97GG3cXLtyuiZ9o+8bRC+ZDki+Pc7vv9sOeA7EVnfAc8D5Zp9fEvHLIz0CRM9l23Xc+prdP4nrYJ8Dz5XBuZUtAB14nhVgcaQHQP/o43nP8tTB0waeNvC0gXe+Y+rgIy/Aszx18LSBpw08beDtIHpS7v/uT/2FP7el3JtUYdSYEJtoFSQukFHQIuC8pYBQgagmdTuI0tJ+JpPk4WWtW08KDaAssCmAKFhDbnPLnwtkbjl0jG5BuzLFBVUE57Z/+GZO+D7SbieAhNEgGClwJ6ho2UEbwcXtkQkY3tfYdhs43z7xw7Y48oDKvgOwjtFEGWjZf9g7rkegQCAL0FGQpLrZLP6R6M737wBgBV8KsvOTxV7jn4uxRtJPcBuLhQLABXqf6xEII+u9WT8A1x30xGAekH+xprFkAU0F0pW56xK4DEy9ZMRjsW9vxyN/Tqa5/THtgHok3wHuMfNa2iewoMBWANj2oLXvBSAdVgPQBAiGbcPbHOjOs3zLuW82ODn3KduRl7xkNw8rFGjg3N2fgk+SCagDYJN37Jid7lXf/cbak5hRGdq+RRuV+EBaE1tcMHtLtgPJN9D+GoAuOYb8+/ZAJ/f+Ngb69sW8/DF/5z/+Pxb8ToGDCofAG/Ab6ER2tGeBRPQApgdgxsa55NnffwGDq3eJJdg+EjEGBF2WAgOut98nvykFTyZZAscGtLBQNwPVAsTCVgVkkvHGmgdsdh39BrCRjh8w79Mvcqnde0kD046PVDumMfsD8t7YbxIQAKpbhQGIHgA3lg/n2oH+nXuu+ch8u+7AO0ki/Nddm8A8Zvn2iQ+0BBy0tK7nLkCwZxgYPAzYlbDQsbC9OzcP9a6nehagvjyqz3MHlNUpbNV3AAAgAElEQVR3dBxBalLtWO7OwzfdPR+5/CNxjZlLllU7Jc3OK916wKcki7bhVb/lv1smmejI8/epH9UGMdOBpNoL71b3jI83cFq7sy1AwnnYT9RGvJdGvvuUqf8w0AOmO3/9DqsSPq/Ths+7ErjkfYe5CAAAoI/1wie/eN2P+nD11XfgsvuWp7n2c/WrB/DGsjZuGDbl5//iKA80tqmPqpxAq/aR5NGxJHBJtpDo4T7wEL/3A8P8Ps8JAEhSlveg9jmy9R/8+vVsdI36H4xIwLv/toT/Vr3oWZHs0SfmvIQD3uuSPfRTAHRKDvOeXioazrltACTDUe/Ql/AMrs4lPF0gO5nlAzYb0wDFJFIaP20ZYet8N05ko9N7yPgLoMyeaNu2bBUZAPiMNT/2Tb/uDaD3btuqQ3tstG17dvLgPbHTubteY2eWK45RWb2Lea0D7zcLe0u0277/JQxQhTJH2Oz1jmvcK0F2A/mUnYxHr7HLWd/nBkMpFnV/JQKob8kGzt12LGSUveuQmOn6XOv2Pbedz+Y4WOgtjRmARoHosdAbSwDP9xJovj8/DEBvzBJABUDfYC0Zd4pTlLBmTH0SGvU7Epj7PrLsx9rFe1gfvxNw2MIYA/fZuC4Q3RjTWN38RmKGso3M+bLwqs9THiz2S9Xqx780fcMkv55kRX3HZpwbf0hYrO+mxBBIWL01vuv3qE+shJIW7XPf30kyTp3iM792AdkA5a4dIKutGg9Tf+oauj+uX1J3be0OnFc2Ev6VS5Je7yKLRGPjzOpigOmzVA8b9G4cOeP38+xICjfunmv/kz8/93b7nttf3Vrv+nvHSmyyAN2x0r0/JYQCqCcx+8zpd0I4ZjkQfcuQb4BX0nzr9Be7v9S+9e19mucoC1l2YDlQ/A6a+01hzvb6GjLwxgm+72Pbj8KB94ZrurPPA663BzowGlANUH/D+9yyrDXUX8ci0U6mHZC+2f73MrR0TP3Pb/8H/r5J3GlcVULij3zyk7ONcjnmLtcdPE/F8AHPn/jqE1992sDTBp428LSBdx4A/WkET0fwtIGnDXynt4EmPncp90D0LeUO2CWZXpZyk60m022HmTGSyL//j8529m0RTDG5NtH2+y5viVVSYEImOs/xzdRu2RLqO8hn+46BWQ54xjRSFtsK1GE5TFb7mSjPhDtW+pGdJJO5GS4F7La8ZwG4Jq4FzgvUCbZixgiQYrIPKNwk+Y+890YZyRFi+24GlOuWuS9geknfkes+Qa2OwUtUEGvYbZ//i1cQdgKiMbx/8OcuH9OC6wJO2zMPwCDYItC/wfMB3w5bBUsCgM4ju+870LW90DeIvpMksKRJ6gJNgIFYwAWTap9J1W0g3XUKFJKYBEa3FLgXeAJ0tZBbDvCIid4SiBDAUpAMgI7hiiFIZh4IWf0Cvsg9A7awi4Y194lfuOoJ+C+gV7lJdg4rRjD6gLuBMIBxnrD/H6bmYSmpT8kJ/M67FwHoWB8Cpi0CrMrEK9Yzor0DuwHnW1UAs/xbeaI73mvqBN8KQMdA7zP2eYHwGGQFgTaALpmiBWBJsp08eX0DoEciSv9Jfmg/QWuAOlnOnhUAMonm7hGwCbjWOTDGW8h6A1k38xXIh4XOk5lUdOfuWIC37hfp5PFkzqv0BM+HEXqSL9q/8raNa97BeFLsgr7qqvVk8DcbH4td0ByznKQ05rkA/wC5K9FgnqH3X7bFsgUKqisgH8AR+7z1PJ87hmsj3V45enaro76TEC9BRhlb17aBiyS0Wzf+26fuscHdk5FC//TXZ7/W8T2tLO5h2/Ok7rr6bB99Ev91CQeY8cBObG1AZOuAvF0/IH+SHI7HuySJrmUrDwBdWQi0DnNewoC2XH+wpYCxhj0bjjnPxgcv5ZHwVHvp3Yr5Xlk6Z22Eb7ft64PzEicjWz9T/zBy8Kd82HujnHGSlQTbJX61zPN31lcG11I9dI9qQ33Wl1MiIT0+APvpszGnKTK0rmsBWhW8jzVfmRs3Ba5INOhedp76fAkXFnVA1l07194uBvhJyACGADswFyXXAOopJPCYn37iPH9dJ+a9NqSdXs/7YYdLIJOAwtpl+59TU6EIc7H7jyQ+ZQYJZkC87ol6nWtd4Pkk5f34S4IcSwiKKxvwkJxGxh+gLOmxT2AgsBIo4fe29tlMcMDxZp47DnAb6Mk6B5C+FYQwFHnhNlbE2NzscwB6597qSYA7zFjAJpWmzk+tpk/vemNHY2mA+GaZA7/95svefpjbrn+XeVsr7d/qULkvH/NTVySVW0+NAZgOEDX2NZ6VKLOTYF2P+2zcuOcGkhW2xzmgfIPmm4G+ZdyzfAkwB6C39P3uhU7G/TXg3BjkLuE+x//9f3TaxU70NY/RZo3tJVRK1Lvq68iaV0cst7y7JwnsU3/h8nJuDtdSn4Wx7nnfVj4SJI3Buh/Gemx8qDtMYtRJipj2+fGXuSA7KfMs6hAUrqhWAHbZW7RPfUT3uHbSve2ZwTqvnMYI1QGA39zBfWQNVZmB0p1rA+ijDPLTf35YyMboxtmSCF175/Vs9hw0Bt2S7e57845Ayvot/XLnZOHSvZD0RK1qzvNjvzzjAH7pyigBzz3Ut1SWsWvIT/6nvvrGNbZ/7zPMfutcP5C84xq7Aqf1650v9nX30vuUlHl9M/Y5FTnA8pZq32DwBngpWQwYfBQy9MNUoXYCMIWFNwDxYxln/l75KDL4H0h+JWMdVjmAfd7tJxGjT6o1YgADpH/8s2+ccyv2AavvEvWbgY/V/YZU+5JMvzPQt5/6nYEOFL/A8SUfryzb97xtaou1S5ZWkR+K6XzxFz8/nx3XuTHWN6i/fc8f6faPPob3LE8dPG3gaQNPG3jnO7IOPvICPMtTB08beNrA0wbe3gYEgraUOxAcU7zJORn3AjMx0cl/m4zJ8C+Asf3QA2/bhzz6/nR8Em5bvk0QUTBzS64Lim1/8NYD33b2eufATOdt6fxYRXuCPSyOxdrmdyaYt73Kt7+ioMEOhPqfl+UGvu8+0cP4+cMv4KOAbL/vCQPbl3JL0AumyJIfOeoTKBAkECzrWgoOdN1Y6B2jgI3AMzAQcLeDTQVoAhT6LFhRgGjLRvIG3Ayw7aG4g75dUwEowUrBrw2kbzl8ASxg7wTmDvsMYyWwALu8ugKgC2b2WaALKA142Z7PO7h0JQwc9h3Ai5R7nyPJfPzRA89bCpj1aV/MvAGNDtD5Biv5MEIBStv/HPsciA5EAkph9GDpAXd4xZPP5JO5/emB8Y4jyWEz4StH6+dYJ4i9Jdwxlfq92yvA3PMiwLnB8i3PDjgv6HlnogPhtZk7eL6B87eB5wW8ybC23BnoW84aeIQRjd3vHm75TX7pgpC+C3jWhvresbCfNvhJXpmccve2diioTdUAKA5E1YYuBugBwC+G6vHSJstOSltCh+0xgcc7/CSQADJdA9lyDHysMdLi+gssd5L4WKWATfUK2N2JI/03Pt6f/vqlgtF/kgvaHgjcsyfx4GLIfu4bF+O8ZxGQq44DIMen+SS7SHThMYpl28JHmqy6frD9MdpHAv6AixjqgFc+6xi4GL3uC/92fWzHxGQfad2Pf+lKhBhZ75Og0DW0rfrC/GUz0eL++6wfw2iubbU9sJPM/6gVvP/Cpu/c5PWrd6AqSXefA6K/++VL5rvfVAoqD4adJJ2O617zEyfdDpitPknR936JgZ6Ee2DQMBuPtymP8OqkcwJ7ajfqgJVFZe9d1/HZI/ARxz6XzNC2scdJokuict+A0l1L5+53ZQnob+kc7R+zr0B8/VRl6lxUSrRfz0d1AMTWriVZ1Ma0DW3TPa2swI5+83OXHOA+bOsBNiddf9d+qResOsEO75yUHLZ1wWYnekeSKR6w6Kg6VIfUHYD3o/xw7AIqX9t0T8YCIoDj9Ksb+MO8lNADhMNMx0zEcsVGvSsTAV6xJI3VjLPIkdvemEvCo/GdbVsPGGa9IsGsdyLwHIsa27IxTeAE8BbTnBrQ9pl2DjLmjV2pK/U5iWwHVKUOg6kOuN5syRYA+U5UdG2VZ8uce2fvZNAt124sfgfPjdtn/EcG+xMv7E0e6F3PluTnBY2JvsH08T8+dSkxE0AveXYD58qypekx/n23/s5CNx4NqG1s8c/+/u/7RgB6YwYAOhZ6djCbhU7GnXz7nZ2+Weg81jtX5zYnIfnf5yQ0niTUbWll3Oo9MMlrB3DsGQkMrv/us6VnVWIL73GA4/aHJmFOZcgYzVxMQoQ2jqktaXPLyxtzuq/YxBJvJQFu0JecNrsmz0r1FehXHennJOtJ7tRWt3S7Nl4Z+X47X5+tq48bRvhpc4434HBKWof933VMOzuKSx13jz/d95jnzTuq0/pYADq1j665710/ljNLit4nlXF7l/cuUdatrjGWBaeeqmuWH2Tp78zz/dv7YyeBzhj3jCfZbDhu5dSO/B4G97FtM0fHPr+D5ltm3Dp9CtU17Ys92yQFHDWZ2gX2+z43efXacv9XRqC6ubzvA4AfRQNJAObIrcesJ6W/4wA+zZ2p9W2gfDO/t6T7sMwPEE6yHWgegH4x0c/+F7i+mO13xvkFeH//n7w+eaf3X/UJPO+z5B7zodpm34vlbAl3gPwG+98m3f7E1Z7Y6tMGnjbwtIGnDTxt4AHQn0bwdARPG3jawG+pNhALnZR7IHosdCB3wCoGyIBnJwBn0tX/spoLVpBjBqBjPweg85YEnG/Zdj5omym+g4eCc020gdQ7gLk90Qv0mIDvgCig/JJtP5NzoHgTbNdb0AiL3nqychIKNvsdQ7/Jq2CooM1mx9tX8AWzZ4PkgqXKtmWxBSe2L6dg70jPn4CbQJiMe55ws/4EmwsCdF8E0VoKGgjUkAoetljS5ocFWYBig1KAwznPAR0BdYKcgn0tArp3gLVAYsGuzT7fwV2BbG1RgPhKFFjgJhCPjLugZecAuPadcgKAdoKAx4t5QLPjAYypB/jEHi7QDwQrABc4slnpewHoAUccM8Bhgz3V4zDtPvUis1098m8XyASiYwkN4/wwxDHSBTMxGaufgn8dtwAnYL11rnuAgANK8FLcEu+Y6bXLzm9bUrXa9pbI3eB3v7uH1b9nAngOMH8bA32D7lQf3Mvu4QbQCwz5vgPWBbrvMqx3AH2zpMlSa+PkmkmW85PeFgeYuJfn9NkP2MwXfIKWh0UMsPZcYYDz+y5oOiDdYZ8CvIDuQNeOWZnJd3sOLrn2w/YdL/VzbSwYhn1zwNbOg/XdOkzSNwDxw47uupXHs98xL/b5knWnDtH/mObqEpsZU1edkJ6tTDyaL9nnA/pVV1N3778EmNvGMQK13ZM8zoF/gD7PLqZ3z6RjkvfuO/lrLHXAtv5BXzHM9/dfvGVJsQPSyeUWEKc60LXZBpse6MsPHKu/c0gQUqeA9+oR4Nt5Me7Jr2MCk2V3r1sveQiI6/8N9mPid/1tjy2vLegPqXTwNK//wGSTpCFJxf8UBDDW2SG0fXUVgM4HvXdcIHVB8vbvf0kr1ESmfZ9raAEi9W7DlJ7n5PhrdwwM6e4JSw59Phaf+3gxCT94SZKhMBBAn0JPbaBzVc6C0fVRA/weNjv53JHiP+8Q92qe4fP8zj3OW/7P/JVpx+T6J5Emf/df+qtX8oW+RBILpYRJ7DrvG8k22oKEEIkVEib0TawiJpGnMpwkMMBT16JfM0bAMgcWKVP32PPTOhL4kjW69vHYLXnmvKOAGcNO/4kvzHim988k8CxWItAQq3nb9wCwL9DvfJegOYlpB7zGrJYQueXBJTtuwNiYk+Q2QLH3ZOWQjEbq2r6Y58aKziGpsjZOlt14kGw0OWIMTcl1gL0t1847fPuvb7/yDaIDs7acvO02KK1elFuSaGPfzaA3V9jy81dZjk0SQBWYhUUNIDTWAIAZdwByN0i/k1U383wz0KvvLeN+B8vvXugbQP/n/8C/+Z9LvKPetVnoSblvBrpPiZsbSN8s9I69z9c1YPNS53Lvd/sFpktqnHFLSWenX/Vu7fmhNDXJarGJj381Bnrfgbg7aZra0x6vm59JiKV2JZGzcni3+22sXjnr3+sXKFcYp0ssHJugT/zCpfxAGr26qj4kCwGIAanagPu8FQSwz8nFA6XH2uMLf3nKCxSuzBJUKnPXtxOyJS9soJ4SG9Y5lm9tp+NeXuIHsGab0e/7uHzA4M++lIfqV315nzMOO0zpbWPWPRq1sZ/85WuOthMS9vkB0JVhe5kbx89Y5pSNOlBlxPCuzdSm2n5LoFPXoM5xB8s3i3rLueszJNCbY5t3Y39LopqkkMMM36C4dtz/+79RcTt9zWacey7Mk7fveceRrKe/lbi32fYTJzmA9j1RAHjO+x1AXpsoZrJZ51vSnSc64LrPOzBPFj6QG0BuvXpVLox23uf1S9pp5yyOEwO9RACA/B08/+7v+WP/dwD6wz7/6ON1z/LUwdMGnjbwtIF3vuPr4CMvwLM8dfC0gacNPG3gw9tAwaCv/qdf+p2BSfzQBW+A6Sa2LbzQCxY3IcToHS+/P/LeS1b48b/DPgeo70/ekYIyW9p9e1LuQNnOUN9g8g7QAe+wBkhvArF3MHVn8/d9+yzKOr8CTAd0x2LaPuwCAQXAAveaxArqCUBuVj1AfMuFYqPLvsd2B5xvFhHAXpATo6dAQeXfEvTby00wou27PwUcSNwKQBT8byn4QuIYSAFYH5C2YNMBuC6G84+9eBXyyxbs28AqNhb5+uqrtgNAv8u4t2A1YYEIcAk+kSDGsCFRX5lirfBAr2xtX/0WbAC0bga0wB+g6kf/s//lkp0FogO/gRMCVcNOPCA6IL39MdP73vZtV2AMcxYYyy+4erRIDNngMhCdP/mU+YAK2JiYxtg/5DYtgIvtKT/nPAFRPpvqud/DRD+y7W1XW5r7caTmK9cOMG65dUwwHqWWfc/9d1chuH8HnH+77PMC3Jt9jkUGQE95AwOo+0CaHAMaC51VAQln7b+AGwCdRDKGJWlyCgTY6djfAEpy64DI9sFKr/2M1HFt5TCFgGesAAZoXUA0sHrYzNkTHKCahzef9z92kxKdQOoHL2xkQFffgeASZcjWk1R2vi1jT+pe/8BeYCSlyTMvRjC2unJNgsJixyqn5IQNCFZ31TEJ2MBDAPCuU6AnZi92GEARqLlZu5jBBZYxgYdJdljnZLKdT7JD19i9045GkvsLv3GxngGZEms6d+vI4m+294D7y+O8dV0TRRD3npf6qGR89i9e17QTfrYPLvBC/W7v8s5R2aggYE7z/8Ye119SD+jc1zvi1H/H2P21doGZDOzvHVU5On8gRwB6S2OO2kvAdO8q7XbY0iuxoPMBeauz6rL3mXXAc7YKgeXdf0C1+03mFoBBXaD/qK9oS/rQnhuy852zd3R9FJUKAM5I8v/MSz2wauAdP4kSJzlDIgYGuPtIvh/wPkooBwTvuioTYB/Ds/8mUeG0TW26MgPPu1bJHh1/2uXnvjH3EwDeNpQCsEiBYspEmWISck6ix7ar0H7YmuhfjUEArbUF64EfJHx754zqwWEoDyB7ANi7FDswGaBuPGh8KQlyq6dsefA99mq8RUFHghvGagkcGNfeiY1VNru7hf+4JEhjQ4DzHutIGJxrOL+NgVkVbWltALZEVONp18cX3NiUqtGWZb8zzG2HMQps73vgDTuhnXhwH7MDgt1bPs6NVXsOjWG3AtT2zwZgSlqQ0OCemAts//PXpOrvUu4bPN8gOvC8sUTsyzvzsnnTZqGTcgeebwD9Dp5vAB2IXlk6d3U2SliBYAdAl1wL3JY4wVO+uvSu6Pnoe30rZrG+DohsbCPZ1bjd/eHtzZJHMnN1T6FMYjSgkoJPx2P7oa/FuK6/YE1h3GBMqQ13z9yT6izwr3YBdMeg34nN3e+diGBs2O/Kjdm9fb97t9SHj9XFkew2zpXAQT2rc8yY+4xrJW0aZwIl2UR17tq8BCPvns4l8bB+jnqKd231B0Sn8qF/VVdbul1ycs9D99l7yTWal2yp9t475nHsVCRAVz4JCuZSLRdIfeZUbcufXH+7E2ju4PkGzgHpAOe7qoeEcP2aeU39wN3b3By3z+7fzNXfPSoWZ35ClUSyhX26ni3Ljp3ufeNc+iOqfGIYGOF3Cfe9/g6gt9SeNwv9Lt/uP/YiAPQ7+9z2F1h+2OfA9ssX/V//49dcSDvFPm9M1ee/88f//YutvmXlAejk2/WBj/f5E1d94qpPG3jawNMGnjbwzgOgP43g6QieNvC0gd+qbSAv9LuUOzn3O2u8bGUAehM8wSFAVkEG2+8J310aHhgtw39Lq/PI3jKc2DlNXptwVxbMdkE6k+4tgUii3DlN1IH2QHSZ7ybiBYgEaki5CzJN4GjJgW4/yAIsvMkxfLaEtW0CQu0rsEsKe9cB1pCgYMecRIOT+Y5hL9CIibWB8y1ld/m5vfvzI8VfwKVgTgGlufbDgBB4AfxhrfIJBBhhQ24pxUtmc/mQCkhZxi/+AOi8JkkuvuaFfiVKLInUAW9/7JcvIHP7TvNQbV8gOXZO22NiC4bxYO9z7sc5NlYnEH3LK3b9fldP/ZZ4EPgQYG5pXSC645CRJm9Linkkqgs8vvvlC5jZEu53JjpmeIuAEZASmA4gB2pt6XeS+H4LVG+mP5Ac25wc6zCMzjHYDlBnuMq4ZNsxgqgKdE8LNt4TJqyzT5+1Dazz7XleEHMD5z71S/mXFuDeEqybQVZgqKQh8qLAy2HnLCBzQLAjN94nxYCLBXkY3sBxQCEZ+M0+J5EMcJKkgv0MYNyg+Jbh3ix0AKLfwwQ9CgbATKDbJUuf7PYqo2vqk2/q+H6fZx04LklG2fZ+ANk7Y9+1YxvbXnB/7zfA92GoC74DFj23l/zzYd0B5NgvAGwD/iYgeti0pKwB2QGJPYubbbyZ/aTSh7V8GPHVbUx2Qe2OR5UCwNl2w85+7yuXlDtAGEMY05j3/HiwHln4YXCfe7Pl7rHC1fkEsn/iV6b8ygiQlyzBo7111c32Np8EiHMcntxtA7TVtkj2V7b6L9fpvlA42ODNPA/vfeUFUPzRFxUELESJPVvtwfXWtuqLeOpW/sBzPuj6N7YU3Te+uQCW+t/eZdh4WOYBCkDbju8+YEV3zdjdfZ/n+4Nff+M9uPv8zpFUO2ZnfWTvVtv3X+/p+qqufZeHugEA3T2dBIoDPFNHIC0vKcW1AuS3dDpv8tpp59G2HFs76NieFaAUdQVgTW2EBYljSHQgRSxBQ38msQQLHVAumabtMSG1vQHRAzmo43z2v7zGLI1HWlc/VN0GakziwQFVNtNw2IZnzAdgxkwF7G7Ln221E3gJ7PX+Ahq2HZ90YLTEQMlpe8yz35PGsNuOBpi7ZcZ3gqpxrvEsoJwUtmvznuYP3SfmsjI6JgCdgtNmbN8Z6ZYNQmOoKy/ga8sUq0/7Gderc4mUGPuSVTebFbje+t5DpML39ur17ru+x8j36/L9Nc/z1xjoFnOarVyz5039LikPC31LuW8f9N/+D/x9rzLQtwe6c1e35k/VBzl19918wbrG8eyZvGuMNYyFe9YAuPXJko0kzNXnXuPqpTYmybX7JkHD/cP6pdbl2QNIGkfoVypXfSPLkNpz41LzHGP/6lxd1bbqK+rT+ux49ROuXeKH+3l51i/2edtVlgGtz/sCA711xm8SqSWIju3AmY+phxYKVpWz+4h1Lom8c7aP5L/6wXknfP7l/dQ5eYvXh1M5MqeiWESthErQZe10yieJontX/7ql2TeAvqXc1QPZdknXnX8rGW2m/7xjfuZFrcA9vSTUTz/tOa/dAJM3c9p9Aijv3y0SbvQZEoCwwiWJYMPr74HhmONU47wfqFzoXzDSN8O9awKgX9YH573D4501mqU+dkvU7++vybdjle/vwO7tM74B9ZYNzm/vcwA6uXay68qwwXPsc9LtbceKr+VHPvnJi3V++a+v7wHoKXBs+fYHQP/oY3bP8tTB0waeNvC0gXe+I+vgIy/Aszx18LSBpw08beDbawMApSZKG0TPG6sFuB2AHvAaiN7n7/1D/95MOpu095sv2N37zCRQgG8D84KXPi0CnEA37OwtcXgPbN7lOwV2+sRQwfgxUcc6xzy/vM+xzs+k+5KFO3Lw/Nvunos7YLdB4M655eYxn7A7MKcET63HUL8HgwW6riDQkcUFMhQUuHtOur4m0S0CBgWUuqcY9zxdsTUmKHc8msk0C47v4JuAn2CpwKkAMyB4s00KPGGM3CXcBZ/btv27ToHVO5sa243ncMBEdVnAq3MKHm656Pa/+3FjsFRW/uAD1B+AqkDclrItaDXH/DMvvsKAcnLAw3I8Eu7AdWAnQKGyApvIspNOB1KTNt/LAE5Hvr39JAcAtgRHa7cFLwXhfALTLwDgsPs3MK9dbbb6JdV/gozA89op5t6+fxQGyLBrz8ByQDl2OaaP/zeADjz/MPa5JQD9tQD42wD0gmiCm4E5ZND5ewo+CyQCdAGdw6g+wGDAEw/J7jEmNsAVmNzzVDton9oAFnv/kXPHTN6gumNgCgF6N0seq717TDYcgA5Q3VLw9Qet77zjiX4CuCTo265rcI6LbX4CwBhuWPXVKe/pjru90jdrvXIB1oGr/W5/SSWkYVv83zL+6if5APCpvshSY/EOyzpJ+PdfZPeBrgW6saupAmCTk8bvO0Ywli8QnOczgNP2l+z8URzgYy8JYK7xlC3AFNhImpvHdooWAt3qmRqGdqBdaFeOAfiUBACU4F9OWWEnIHQt471+7kXn4vfecyBJQxuaZ+MA4+T6geiAGkxs1906suuTtHC2d87ePcm39x7qXmGmVu7aI2Y5SVpe9gB0vuDaAdlg5/ecAX87Vn32vZ/vmMBvHvetw9qu/23s49nBQi8AjYFenZA939YFEmhYN9QWJEpgjEu+cA0DwBzbB2Xtt8QuMp4WCQMAACAASURBVLyVjX967UfbGNA6JvphhpJS7hjeXdV/n5QS1J33nPfslibW5rzTum7MeOA/qeGea6xK7yVJSZdiRQmBRxVlQI53f376Z2CXdZIZjcm2chG7HMpDfm8rHOOqPX6TvLnBYGB07zsg5nglA/GPBPVOFgR8AuqNcYDTFIWMi40PK4sEUextY1vb8EHGTLb9Hk9vBSlqTFuifS+Vr0Xy52W18of+vRm/Y3sbzwPMAegbwFb/XZtxtPHG1NOPvSnbPompJ+HTver/rsuYZMuY78TSO2t+r1Mede8a74zzO3gOJG1MIfnuNeDoYqH/zu/6s7HQN4h+Z6DfPdCB6Pv8fVafZKIlDEjsUD+WPWfZCbAsJlgpSNDUV2+/comSxuvGcFvxiAICxvOMJ490OOZv8wky3xLjOn9lqgxtM0mtf/Snr7Eh6fUNSMeA7Tj8w3lue852Ekj3UiLCXiggtb33HTWR5jlk0SsTFj6FrsrnOWfzsNnnLKCweVO5an1tUlIQEHq/p/rsPbaTAtlUjIXKSSpsv50YBnCvfO6XORB1mO11fpeNl7TV4rolQjq3hEt11WIsjLFN9l0im8Raqh580O/AMmlxgLH/9TXbGkAiu3u9lUda9Bfz/Ydfkkcq5/aSr11SKvG5VS20V9Zl7gG7F89T20vqIR3fc7mVNlzb9j7fCQRbvr3lLtH+Bnh+WOQbYHeszTbve9tgjVv4oW8mOVWM2mrrAs0jP/A932B527fY/wWA/75vbPn2x//8iak+MdWnDTxt4GkDTxt45wHQn0bwdARPG3jawG/1NoCVSc49ED3vqyZTQPSWJpBNvn7lv/jVmYgVOC5YLNBdcKJtmvRtyfE9sQSAb8aMwKBJNEAc4N3/d/aqwCBAeQfXMHdIEWLg7KCmfbDWydLxFDeBHzb3kSuUcS9I1/UIxG4PyC1v2ffxX/zDL7KM2Lqua3u+b8B8XzuQcnum9ykbX+AAK7jgRmXf7Cxl3zL7LV1fgYSAB+yMgmHdX8EfQYYt+1xwBXBCTnCzzN2/DaBvT+8th7gBdL7XG4DdzBvBoxbgNgCZTOXFbHz3y5ff6DDGDoglMNX1FATq2MBh5x9pzT/83sXS5mUbSADABLIME/b9/2YYqgEMARHbTzfgaoPpfGJJ7PIJBkxX1xugrs5eA9Ax4SQUYEVX1gvsPpKGgHmB7A2i78C/dW8w1X/w5wbcqh4kLihbZehcG0TfPuf7XmKlb0B8e5pTA9jgOQD9w2TbgeebfT7e50u6/d7fvQ1AB+CQdQRqCjqSZgf0kRQnOQzYAn5julJywNLGWmc7sJnGgHJgMKAboxpw1vEvX/bDKsZ0J6UKeL62OcynDXxKQhnW+UkS2H7wgHD+4MNgPx7pmGEdB7gHwJ4A7AHctW/ysbUn5QPsqx8A+fbT3mB9x6w8rg3LDusemD1y2TF4k+g+gCE5957D9u85TSWC1PQkEhxwvPrFCFbv1QFGMvCVnPuwu8/1t/CixryrDBcofvqpARqOdPc9EYj0dschsV5ZNlsNI759RsEgL/rDFC94LmmoepljvPeVN9pHfZLEKMxmwDxWOgl37G0qF3yse24k70zywEnmAZJTcegcMbsw4HdCU+eR8NFCwj3/89qSsUblrsyNOQaUOKw7gAH23UjXniSJ1vWcSNCQQCWpAPg+oMbxtQcmUJzA9G7pfenY9X3GPtWD7wW7eaDbfwBrIPZP/Mqcx3M/bfK8E7D/ML6B6Jt57lnDQqekADTRHrVRiQqdcysiUC2oDfTeAtbzve+7BBHMeO27OqiOMC7ZVYws8gFtgDv6gp5zII7n3jM/iQUnIfBKDPzEC6DSeAaAiKnduq1oZNyxEw23nLukTOMyAPoG1I0VvcN2cifQvO/GXBv05UfOOxrQ23ECUDaATnrcGHaD54Bjkt2kko0BjWElExhnAf6VYfufG2tuFjzwvHJtqfNdN/2uTgBGLZW38a26U6/G5zuJoXs00s5/4jPfBN4OeHuxO48s/4BnByRrPwDyruPqaQDeA8B1HZX/NTb6PUngLuH+Nhb6BtC3//lrc6b+L0kvFvoG0QHor/mgG6u07PMb60qq6P5K7iSpvsds/J3ZH0j6G2uGD17G6ZLUJO9QcyBVTuGI2pG5BwDdeH2SYm9jwu5jz/QG8PWREvbIamsXHdM4jmoQQDrQrj6l/tp4qXPsRJTuY8+S+7SX1pmTDVh65NBZddQP9V7Rd1bmeed86qvXfKh62VYAA8Z/70u72EB/7N7aImB2lFzO2EoCk3fT9JEn6ckcyvuWXdMkAr775Utynex822BEU/oy52Mb0n2VDOhd6B04yV+ff0kyk4A0tk9HpWrbtuz9ANPmhxI4ebfPPPMoXZjj73n+BpGxz0e6fEm7iw/sJJ+edX3WTl6/A+EtAP6pl8MwB/Bjr7Nrq41Wv1TmWLS1nsd62/XZ9W7m+raea7l7vQPS9/rWbfC89gIcf03Cfcuwb/C8dZuFbp8NoAPWNyBeYofniud5S/GbZNu3XLvybBZ67PPsKyJV3OdPz/LUwdMGnjbwtIGnDTxt4J2/5XXwVOrzYD1t4GkDTxv4/1kb4O23QfQmWy1A9FjmTcKajAWkt5iU9Rn4ygOsifAGy/mDCRBtEB2rfIPIGENA6QIaBWAC1e5+j5jbjrH90psAA8sF6UzWMeH9t5cNng9b4ZSz7Xewckte7om0QCQAfXu7v5YAgN1kHfaUQKLkAteLvSOQihWAHULGzvmcu2uwX9dSEIHUYMH/Pit3AaWCWTzzePgJrJNw71gCcD6xzAXhAOvY1NWJQKUg4l3OG4C6g7OXvPipEyB6nxcb90jDtlSHBUurKwAYwAJ41zVU7paOQyJ1s6Mv8O8AqLGFsTYCIfgOXzLtS/K974A6YBn5RjLUGHkAwrmPn3oJVu1AJvAcy1/yAgl/vpKk2cndks2UEECCFpsIIL5BcYFSUvBzzE++3G/n3r722Esb/L57mG8G+R043zLt2+t8g+ffin0uUF1A+8PkV18D0LsnvLkB4gDfLT09UtDnOcMix7TCCAYGYmMNAHaAp5FL/9yLXPgAq0fSXXIKGXX+w2S/HbP2UrLG9s4WoAXuV6YBvWJxn4Cptu44Arf93zUP0/SUHahOcQAwjJlOyl3CgeQCHqc8JfuUMGDbSVw5ABo2u7JhnmPhK8sG9DsG5Qb/9btnm785pYAAbAACKWp1ywuavCvQckDFz70whgtid1z7BUQOiEq++nPfmHXb13xYv4uZPoktn/76i2T4kbgnr7+Tedw3yRPYYVOmn3lhMW+2eX0JEFVCRO1WebXF8W4/AfvZ9yQobKYxwGWsOn7pr16e34DR8bn+1F+47qWEjfoh7OrA8jnuu1++kkOwTcnyu8eY1+T4qWYM8/q9r8x7CIA+IPr7XxnQnLds695g9y2wgn8sEDfQZBIeDkDrGNqYdq99uC8SyrQ9Nh29HwP0q+tRq3j/K9e7UzJhQe5AsfqJjkm6/JLaP+0J87x72T1Qb6NewBaCxPvZn7VKZVGXfIZ5DU9izWd+7QLSd8LC5T1++iuMSX7ml4XFYemzHBnQ/7zbOm/vtGEqHuULSS0diyw7z915/mo7n/zibK/P6D3UevsAzKnmbOAUC9lYcRLyvu/jL79/+AW89v7ayj7AN0mOGMubeU6hCNBu3U7OHGlnFiZHel5i4N3CpvP33toM1g3mOl/7OifgzpjS/+rhssc5tj1b/cd4dI8lt7yyc3TuzUIHJrdY7/ot25YI+9x1AdC2+sweGysTMEziATURiakb8KcssMfk7gFA3hj5Ndl55dj+7QD0rpMqzl7ugHpj08YU3wpAbxzxGgsd+/zOQr8z0Lfs+GbSU+rq2ht3aVv1sdsSg2qDRDpjYCA6eepAQX7frTOGlnhytwma+lvJr9eY8vTTA2wfFrR+SvIRFrpnxr1Qv9typ/rpe2WingHs7bqMLyVNvA08t1SHbA3qkwHSlEM6tiSq6mNUTXovJWd+QFKMf+P/zol5/tv+3r9n7mH7kZcfxZpPf23O6T297Z3YrHTvqKxc0u1n8Z7HANeXz/hz2Vbw95aIxGf9Shpb78GteiIhxbyCBUufxrBsujpmc0LJGc0DJUF17g2gSzgy590S5nf2+QbTWUNIHpI0f9m6naQpiVTXXJys+nk/SKyS8O73vJvzLD8JI5O8fqyuPAcs2gDp5gHX/P/dlz7LsbSPnSyw5ehfY6AD0Dfz/ALQybivpAIS7GIl4gmk2jdQDkAvLrP/xz7XVsVsWpJt34zzgPbKs49b3Ofuff5Rx6ae5amDpw08beBpA08b+H3f4XXwkRfgWZ46eNrA0waeNvCbawMFhbAzybk3mTIxCyRv0uW7pUlYXn8/8L1/8ALRy7jm6Qco542+gegmd4J7wGOBt80E2iAqdrbJ+5ZtF0Ak2SmIY1Iuw51n+kyyz8Sct/rFOD9s7T6bbAsUdA0jjf7uz7/BkMeEETwgH0lSUNBvA/3bu11G/2bjN5neDCPXsSXuCohsX06sYwwp7J7tEd+1Ygl1bQWbCiwEDPBEJ80IICigJSiFvercpEaBvOToN9iNQd5/G0wFkm4QXQDL9y21jjXjmgvEDvPgBKYq5zAlj+QhOUcSzSP3/Gf+ysVCJAUNRCdN3P7KWdkqA0Bv5N2P9OEEDU/wEPgUaEHSHXjORxfgANCq3NUn8BbQ1DqgwQbQX/NBJyFLdUCQesDyj/3pi10DCBcAJUMLNN8gu/2tB7y7p9Wr+7M/t4f5HRS/g+N8JQHkvu//sX8+DDzHZHqNfX4Pft8BdM8Kpk8LCUvtir8zpYcCjt1/MtGSK7QnADHgiMQxf9KRFj8S5ReT+f0XIAsjF1guUFv9l7jBrxKDFHgFcG5/SgHY4YLe5NTJuGJ5YYt2nH2tnU9bJW9/sUeP/PKwSA9TV9uVCCKZpfXVadsCjCtT5+QVH3iKGQ3oBbK6JpLu2P6Y25P8cNi4fMj5i1N56BnlBx3oipFekLtnVH8AdG99x6IEgJENSMRqlwzRvtjqQHBlA9bzWVf2izl+ZLyHDVfA/f2XeynZobrsXBIbSL+PIsa7X54ySE5wvK1WMH7mJ4mh+sCE63P69cPgHnWRD/7rYe1prwCa2kj1jyE/kuYHqHE/238kaZd8vLbofo4PfT7xx5e1/7rO6pe1RveHjDv5W+BPvwPQ+aNL/uo5Gb/zT78w63m+UlfRhiVGVJ/b87X+u3Yg+SlAvONp390/wEZl8V99Y/WrvKm31Cf17udXj/1PLcAz33VL5mh9dVzZgBrk93kJUx7o+qifbHBoq5u0DvNdm5x+7qgw9Cmpg6pCdcCGQEJBdWHdlp2n5uJ9K1FlEm4OQCSJo/NsxQttAkPffeG1XJ8hMQ8YTEkHuNqnseL23b6zoHsnbbb3Boc3YC5ZU8Km7b2DJaiNhPxh0/Pnbny1AXSgPSB82/kA5zdovqXltw+7cdN+7wKIAKnY6hvsV95t+QNI3ixJY9S7DDqASyJs2+9tJB4MIHbY9q0zBjc+cD/cPwmsrIaM0YadfvZt3EldAChmTO+ajP+3moAybeB8X98ksr5Fwr31LRtAzwLmbWMIS/9hof+e7/odvwpATzp5s9BfA9CNd3YZzHO6tsZsjUWMcydJ4yQ1SurxfmEzYcyyJanJcPN+Nhdgi0XhyviSElS/1bkkS4kPwNcWfYdEHokSnr/XpPGN1wIQew80Pp6kvw++dpW5di5xoyWgbyc37EQENkGSTrxbMLmB2ZRx+r+6pcY1ycYf/+zUu+fVuJOyUWzePjHO63+pcbV/bZwCiHNi0k/y1lHzoTBS3ycBQhKm5LwWCYrGWBQ52KoAycm3WwDo3hfGXXuuRCFGAqekspnfHcZ65ZH43jq2PB2LpHn1V51Rpbizs2f+egDz/V3fo5/dDHSKIhJo5j4dS7Ltaw5At3QfgeH91/YY55IPWiQGXJLuP/nLl6S752OD6y3FCQDau//cn6+x70m3W4qfTB0c9vf2PS+u0jnEW4DpWOZbst3/iA1bvr14TKoX9Tv9h3keeC6GU3ym7bbv+R08J93++J4/sdQnlvq0gacNPG3gaQPvPAD60wiejuBpA08beNrAt/ZET8arSZWsZROvAkFN0loKFn33P/27/npLk7QmbE3cCjw0MbwD6ED1DV432e03FjaGDs/wzUwWfDRx30D0DiBiyu4A6M5wF+gUtMNs2iA6tvb2lMTmbp1AY78r255cA/sFdLc8/Zaux9ghQeo/cqTksCUY2Gdn6guSDVvnBNtm/WGCBYQLDshuF3B0zOpfwCDQoaBJ52w9kKL1l1fxCcoI7u5AHIBbgO4OoHdNdwD9NcbyJaO4guJY150DwFuQqQBPwIBPkofaTYEnkswbgBpf6gNYYdoAwlrXeQT9Km/HwsYh+0yqu2ORuS0oGOgCmJkg4QEdlBFQQnK+uu3/CVZ+8kXqGqNMvQpuAtBbuk7MeUkTfMt5qvMTvXwvj9y/Z0W9vrHNYqMD151foFHQ1b3b0ux3ifb9udnnW4lgb3dfvi3p9u/6Hb/6Nvb57t9KEPo3/oNP/Z8AdEAOAJ33InZv6wuydU94dw+D+rCKyYEC3LHPSTaTysTmxPrBwhX4ro3w9MZKKigLGG0bstRbGUKbuqRPj7Q/EHqzgi2AVNfMa7ugIpYSdrmkggG4TyIBGWaBfP8LDgPS9UOAd9cywO7xUB8AFTv6SHurTwFfyR+Y0I6jDgSBAfLAYwkHbd8nT+ueT37ifM97foHefa/swF0y3B2npee9+wPobjtgsE8y5tjCpOrd584tmN0n+flLmUI9ldRzWNq1t0sy/kjCkr2vvyGpD+Qe8PInfuUCyR2XRzvmHz/ssalYFhMdo+9d/wZP+z3JXD/11TeuYfrF06dRRVAH2MdADn0dCfq26T2DzU3Gvf6n+/LZ/+p/m/UY6ADytgOoY6VjBLZuJP1/5qtTR1vdgVx71wKE7jz12bXZKf/xIx92+H/y1escfafaEqhduVqAd55hqgAA8eoQ8913dY4V7nt1U106FhZ659NOAS/ADwA4T/veZ1Qm7skcYxfwwUsbAHhTVADuVyd84pWruuy+AGq0Le83x7g828+4wXPcczAKMp/4heveYHJLBDPWAowB2I2ZjCn22I8UNbnv9gXCA603W9kCxDG+tGC7A64lZTbewgxtX0pAEjfJsdcOvB+3N/e2/qE41HjTNWPfjqrMqhPgp7GXseAeTxo7Gm8pz2aFGqcG3ALDN3iOKQ88UmbX1FgX6OseuXb3RkKsMm7p8WEpLyUcdjq1A+P56hmbufpoXL4VAtzHDe5v7/O7jDsQHSN9y7dvCffA8zyAA8cbL7wNRKLa9RoLnXT72wB0rGnjXwm42iV1qPrQbZ2Dxb89t1uM2SXN9axXl9XxZVF1khj2vKO21Xiu9nn3PedzLeGBjQ9FpvoBoDEVHW2xdrTtevY4rvWVQ59CgYWaQ+fc/vUBkcDsO3jef93X2gX57spTfVDgGG/xz39Tyr45zoDXP/6lqeee3z3P7JyAekkQAeg9B6TO6/s6lzFQx5LIxVKjvtdYUSLaqFb9zDdtbzZwzQOdohGf8j4lo/Ezl1hZ37yB8y3dLqnCfK362QD6jOtOAlb7VmcsSuqLRh3g3Z+/rlUSegAzoHuzsu8MdFLmd/Z5n5JgHGNbjLFtqE4rDwY6+fXLXu2A3xfj/CTfDAD/iReZ951Ion0Y5/df19L7b/uj+648HZsF3WaevyG3fpNeJ+G+AXRg+fZA30kFWOh3j/PNMN9gOvl2v4vPRGaovfa7WMwXf/HzA55vv/NiOAB0wPkDnj8x0Scm+rSBpw08beBpA+88DPSnETwdwdMGnjbwtIHffBv44hd+6e+/g+hkv77nX/kXLwkwv3lu9Z3EexPJJuBN0nioDxD9sffeANVNfFsAuQVSBBUL6mD2CI5hnwORBQ0B3AKaAquAdHKfGEKCfk2USbmbMFs63paYd17Md+zyLeEOON8+mAIEArkk2m0roLXZSQBj/po7QQAgL+AgA79AgcCZAOUwGU4SwJb0JL8JCFV/l6/iydQXMAYWyNyXiDD3ZslAbvnH/YlZVWBMMK1A1QbON5vZd/ddMHtLuZOZBoD6PgyOw16qTAVUgAJAdEA5WeI+gcXkdcmWF3QVBC0gWH2RR+7/7WuLYQpAL6BWoEywE/CFfXuBi0fuGMsdaL0B9Dd8KbGTDrAgAHmX1Xd/LAKhgpX+t23rAe+OWxk8L1vmUuD1NbB8L3cg/A6Ub6b52wD0vS8W12af9z0AvYD2h0mvsqkAoGP5aEMjJ3yA2i1HjNkvCCnwOwzkoyiAYSs5YryfD1gFTJecIQgOhNcmqBRg92J+k20dsPv4bAPqgW7Oz3t6Mz3HemExugHpALrN+gaCtl5ywL6m+z6Y6o5JKtR1YE9hzwkSA9Axnh0POLDlaoEJ2NZbmh7Tlfd3x8Z2ty07ip7r1CEwizGDJb+MtcL7L4AgT/QBOA8jF4jefuTc++3ZpyCApUetor6TVPewg496Rf1Iz2TbYr8Dmi8p11NPpLxLyHEvAauBERt8nz7op//81N0EjQ97vPvjXJ1/AsmnDTlWQfiC8rx1sZ/5eE8iyCkTuXlA/Xwmi3v6VP7o2rK2NJLAh9GonXV/Aed9BqRLZum8APQ+C/gD0FtHwrala+ozVZVLyveDl3YP6FVHPOJbAsZ7z201BIkpI83/03/+8lbv3H/lv//vZ/u+91k5gDqURK5jnHakfrHMWYqQ/ud3zjLkUqo49a6P0J9IFOkad/sdpv9J6mob/vVtM17Ap00oy8gRH3UB7YBEMb9d+5FiJyVMUp7yQv9LptlyxQAhgA6J3sYdfLIldxnDGUP4DvjzvtpWON5PxoHeVZIljSsBrlvxaEu5O15jiAtAP2MtY6xL8ecAwKSSjeskmgFojWeA0BsMxuCu3JI7Ox6/akmg/Wcb41tjyu13rh528uGWPAeeY5r7bJ3flRUotAF0wD/g8n6e/pMAoD6A/qNQQc7/01+bfWaMutjRWPXqeifZOndl4htufLj95V2rayKTDpTFXO43j3rrA9D/+T/wb/7nkvA+DEB/zQvdeOQ1BjoQfcu3axtbpaA5R4mvQFpj3drZjPOPTYrkE4lAPau9S7zHL3/5A6BLqnCvtuf5XdlIG8PWre+jFgG87dP7o2fZMQMGXZN677NyKGv9FcC/peurDJ7NDWRb7vXXcbHpq4fNyB4rjJNg1LuX2hTWOXuI2otEUOpHd/C837VFiUJ9UqKorZN175qM9y0UcygDsMqQ9EcVpaQoFiS22dZOxl1t237GO7McwJwawSiJAfnPvIJnPeWYziHxq3eX91hz9Obttb8BlM9xzCf3nPvuff5GEvkBiy8G9gGJu2cAdIt59WaVX/PMk/ihj8BK7z5OYv6ZvwO9MdUB7PproPskf525cu2799GeQ/fpvOIByrmB828FoN/B8+17fgHaHc/6A6C/BpxvJcDuD/C8GEzfi7EUh3mb7zm5dkSIls77NvD8kW5/YqdP7PRpA08beNrA0wbe+TtWB09lPw/c0waeNvC0ge8wJnqMjA2cNwFLtr3l9/8L/+x8NlEr27ms5yZvTTwLPJjkbcB8M9Evn/QTMANcC2hasM7JbW72jcDoBrltA4zGHtqB1c4BON5Z53d2vEl0gSfl73/H4em2pTAtBQyUSbCz9Zggyr2DngLFPCSVHzuHHKbgQdsU3GjyX9Y+8AlQVnBKsgA5egyALX3qeHwEC+Zg/vB/ldWP7VzArX23R/cG0jeI23peiHcZS0yt7YMu0eEuXy7QjpVKZhC4MKy+IzPd/qSkAQ4BAxs0I0NdoKtjtgxTM/bu574xgETnLoBXkKLyV77WDQv8AAUFywo4kXUOEAnYUj5BvUAzAERLARuACq9EIDbm+at1cOoV0H1JsZ9EADLu20e+/dyTC3g/Eu8UA7qvO/mhc9yB860WsD1EX2Oaf7vLh+2jzWg3d/C8wHeBbMyxtwW8AegSDmrrWD4FKCU0AO6wqQGPQHTS7VjBW8I9sApDU7CUwgB5zo7lP4Bi5+HJvb2jt2cl6c3aMFaTtltQu7YENG9fbPQB+ZcUvfXDID5M14KLrUu+fergSJgD+Hx3jQL5BWTrF+b4x0caA36DZS2dA2O+fT1rpPF5m6uDS+r5AO7uA//VjlN5KUFcLN7zOfX46a9fLGrrKVFgBWOM9byTusb0JrfdMXqGgasFy52TrDsvc4kFAALSrJIfCl4DVYHP/ScporoY1vcnvzjf+ZHrO0Yidkm1D0P4MJ2B+ZVPwsHc4/f/64sFDOzEgHZ/JWZsZhwJdx7Y+i7PzFbkEOjvPJI6qtvaGzCabG3X3X/uaduQaQ88B0y3VA8BuYHnwP3uBzC7slJLKRC+nw3ARO0NgDNA86lzTLz271xdH4Z45+m6ASYdv3P2/vuV/+JXL+AhIIKEe/2i5BysfpLqVAPcj9pG11EZKieFAIkFAG+eupIgJIe4Z93r2iu1A/1Bx+5eU0bofg4Qjh1+VFS8E7HiPQ8SzHjHV172EfWDnZeNgvZ4teFjOzDPcZ7wbB2OxUznBZ5fYPQByu+qQtbzRPfe29vdJdyB5zsBERC8pb8lFgKIlaPxUOfYwE5jH+xgDN2t5rLHrNuCaIPodxa830BnY7w+MfC3rHb3f9dF+wHYMdj3+Nk5AOhAZoD5BtH397svuvH3Zq/v5MhJJD0S7sYS+5rcYwpG7iOQF9huvGt920kykGT6GvP8Nfl2dX+Xa3+b/3njiOY83wpAN0/aLPRAdCz0+wJAN37ZIHrl0DaAi2TcSZqzPzBmpBIyY4uj+NAzLplpJPJ/8OeuxMl9nzwnxpXGlsaPxn6SG5pT1MdRDum8vW8GND7zgv6TBZkN6AAAIABJREFU0AIUlYQy0tmnH60f61jY2JI2+8QAL6mBPc9OPNjsc/e589VO9OuA7Ppy/V/lpwJUvba9RBxgvbErf/a9kGj3ztH3eea69nn3HEAbMx+7ufeO8QrrH+8n22KVUzfC/JeMZgwEmN9M9PpqbcHxKo9+SjKohEYJV73HAOjVSwBw87/Ac/U0ZTos+8tr/DDHXwPPt8IFAL37uZN1qFhsAL1ly7PzOrewLhvW+Zmj7wT8/us+AcslZwHi78sG1rseCmwbmN+xiu1bTmJ9A+fY9wD04h4bPN/L9oW/juv/c/ztd759yvme+11spdgL1Yv+DzjPIg8zvedls+Jf8zx/wPOPPu72LE8dPG3gaQNPG3jnt2QdfOQFeJanDp428LSBpw38zbcBEoVNrJpgNdH67u/5Y/+3iR4vrz6B5302eSuwXFAFi6AJYhM7k1FA7QWen9+Ab0vBEYGlDTgLojURx/QmY7mZ4RuIxjjYEoZbuhOgb5stK7cB+UtC/eOffSMYqjzYTIJ6AouCj+Q0sdAdT1B3e7qTwxTY7bouSfyPf/YlKeB4xhWEavJf8AOIPgDcYVuo0yb7gnQm/51fHZLq4w1XgKzjdt6CDgFlBWEENjGqSM1v8Hyzl18D0LGPt0z/BmZ9vwLSi0ld4AqDEWOVTy1GbEFawDE2YIGj8X89ADdwAwOv3wFMvM4Dz//gT//6/J5r+d5/d0D0Amu17bn/B9CWtLBluzF2sHcvJuABa3kybqC0+8b/FEsIO2jL2G/AXECaRLttBN6HKZ8k7JJkF9h23zw7m5kOPN/S7EDzzTx/jYH+7YLm5Ex5ZX7YgpUEQPcJQC/w/VrQ+zUGOllLAc7Ln/4A17xuhx2+5DAx1nlUb0CRJUCfgqiWjgFoBMTXPuyjLQOuME4xkrFTMTxJuQPC+t1zS6Kz7eu/MLl5obevz8uf+tNfm8B2zzgQGxjGa30D+i3A85GBPhKyAMKLeXoAMzK0tXXnrf4Cv3mcX+sPS3nq9sdfyqKOSYMDYWfdAchJYZPLL1hPTYJs+/bxVu8BD/0XSB47HbO8eml9zz8/6+0LDWQEaLSu7Ttnx8QiHvD1tBUy6FjdAyj3+7SxzkshY4Oh2MW8pwMHMKnbZ8vf89jWvvjHU83Y8uoDeh4QfPvZV+9d14DN73+zfY0seM/EAcv1pfueYeB3rdVl/ytD58S6m6SjA/60fecuoP/f/c//1yXNXjLegNo//qWpI4B634H8W84dkIEtKWGlckqycH+7l4BfbEoMP/33BoS77jn2AZ9Jw9YOgf0DzP3h9+YZwi7vGIBmVgmbEa7d6EO815RBW5m2e5jjVAQCskjqdw393z1qcc3k2SV6TNLYKYfkEUk5wBWJPFQOgFGVR1LF9J0fvLAeJXjUtiYh4IOjBPNTL7LKre/cwI3x0j1y1D3/gJPGFcY93l3GbIDVDcoCugHge8y3wVjL9ignoX4/Nkl2DPD6rEvG+OOfnfGQ7bZHOeAY+3wD13ef7s0+36pF5MzJ2LsGY6namzGVehjA8wd/7gKsAaTe58bIm4VOynzLtrft9ik2Xt3y4gB0yafsh8h/G/sZmw749Cc+802w69z/rXJjTDLJiAeUNH7sfXZXfJIA4DqU7Q6qu67fe8D0/QlEVw+BS40tShbeNjAfBqAbU7TtgOjf9Tt+FQudF/odQG+8shNH9zh3qyUYy9fues6GAXySNNml6D/0ofULveMBrxIUfvv3/8dzfyRTjpz98j7XZiVdskYiIz62G597SZqRgEMivT6zuV7lrK/pOcZ0ro/Q1+6xec88YNTzeJdP33Y9G0SnJkBWG2MYsNz5sMTH2iJZ9PdfxiLjP54f9ukzak8dSyLDBs95nwdodhxzBGOvGWMdRjb5dvYhmODGTvPe/ODlfknwrYz62frwEurUj3mbd4hxgWtUl3zQvU8x74Honbc6di+cr/W9r3q/du+A5n1vqU57xrs2bHts9lETOvP27oE55QbQNzAMuO2Z8/zZTv9rfj3z7SPZbh4KPK/tTuL2SRyX4O7+SypntyRpo33039jnGOr9L0mH/zlAnt2BhPM743wvEgECpfmc3+XagevXuvPbdz7xfQeYb4/y7Y++wXhM9M0+LwZTvMX5AtGx4b8VeP74nj/x0yd++rSBpw08beBpA+88APrTCJ6O4GkDTxt42sDfuKT7BtGbeJEY29nnk2F+wPQmcLGxmpRjEzSJazJXZnTrN4BuATLvwCHJRuC5Se1mmwvsCR6alAvObIlL4PElgX4m4sDyJtxNpEnEV9a23VLugqOY7zsgu5dLtjwAdMnGC6zeA53bB/0uyQkEJeNZWa9s+ePRicHfeizxYYqfYOydyV+Zm7BvlpFAMx9G4FiBsspTAKLfJMArmwAgoNc174Ayn0Hs4c1AF0TcDOc7I92xNwMbwx6gBmQrMNJC/tL2wMkCSAWgAgWSUt6AFpYkpmbH5mM7TLof+tlL0r1Am8Be1+M8BSALPmIeFwzjF8sHGWCG5XzJGh+gSVC+Y6k/0vyCzdsLnm8lgL2lwGn/8yAVhMcwIpWrTtkGCLzu+wY8x9T5MLb53ff8NRb53m8D53em+WvreJ/vAGsA+tvk218D0L//Rz73PwBwxhvxyCIDqvvsvvRcda+GZXmCiLU7wNL4aR7gGNiFHYqtBOjmYz32AIedCXQsuBqYDGC0CJZLwAB0AfYFaTF7gdeeDSxoUvW1xcununZ+mO8SCbDoMdXJ2JPRrh2NSsJP/Mr8V39wAfurPQ9T9QQtyX/2qe3zy8bA7pjAucocqCLBBNg/MuLr2cFw5mktuI1py7c7YNwzDCQnYU5Wn4+5QLmEGmD2AArH9mF86z/49TkfgAC7PAY7H3ss+o4F6J5+5EjC868HopPSxo4GknZtknLmvh3AFQO/43ZdwFoguqQhCRtdn3ba9WzgXb808t9HBr51AvSTLLGuA8BbPWBoT/s4bPrqsXt4KQt88iuXuob7QmlDckrlC4SIfV5wf6Ro3//KBPUB4oBqba76B1hg1WHQ1/YkHHgGARf9DrTgR99v/2lX1Ac8p+1fe+RBXh85ySaf/voF4k/C4B957w3lhKmbz/zaxSAdIGepDri3ElywzLX5ytNn95j0v3b101/7X+c7UEUizgbn205yVn0MewXttPuhvWPCO+8G5zcQTsrdf0C1SUh498tvSBVTnagvncSUw2zVV/C8HruHJdV+Ma4P4AVI3+vtC4wDIhtLUe3B1N7WOnOfzn+TsHbGMxu8AQgGyrQOiASwkUQI1MY8l/Ro/CKBESANCAb2b5a862NDs5edVCmJsX619zQQHwC/x5p3xvlrXuHbD/3uNd62xs6uQeLnXoy3qg9j7J3gWVuYhM4f/qVr/GFcg/VsfFLb4DO/FZpaSMgr52af72sAzG4Ar8/NSgegv8gbf983Ut4yjvhWgJJE45RvPoyFfvdA3xLuPNopOHV91Vtt7rI8OJYdY+XwMy8KNhKm5pk9FiHaAuuB6nMnnbLckfip3RjvTqLoj74kVNXfeD9LOJIQVTnq+41TvCuG5bz6kM3GvtQofuhn33gWMcA3y1xiJPAca79tL3Wuj3/2xW7q9DOSfOqHKWsoBxl6SanUwHi1d44Nnhvbj7z3ec8aX7Ej6FqwvgHonRvQTa2n++fdgckOAO+90fukz6nHo87Qu9M7mV86dr3+uu0ljbUA8NW765dcxoardyvWObWD9gWmx2purl7/493P3oiKGfD8LuO+Jc47Rs9XwC0Geut2f9P+5urk2i1bgUHyElU4IHp1CmTXV3c9FhYEknew0i8w/hz78lQ/MYA+ebxvafr9+ZqUu6SBLdsOGN9y7bbdgPodLEdS2OvubPa2SQUwAJ33efEXQDswvzLVv23wvHlQfV0JQPVhxXoe+fYnVvrESp828LSBpw08beCdB0B/GsHTETxt4GkDTxv4G28Dm4nepGuD6GU6BzLPBPWH/tQw0VvfZyB6k7kNeDU5JxG3/cYD1nmlY30DvnfG+fZPB3wLxmCJk3kXVAMaC2L2G3sBUO44gGPS6ZVrS7ptcB9LvoAMtrkA5WbNAPkF9ARQN0COwQNAL6hVOTcQLRgseFqATZCgYEOfBc4qL0k7SQPKS26uzw2k76Dyvj5BiYIrAgvk7voPqwXYKpi8JcEvH+/v+/gFgO4gIhAdEwVYi5XjuOTMAdXVBdY3mWMyuGQWC0jxQcfGwwy/QPQDpGOXkmIGOnc87L8Boz75lTkmr0RtO4C3MpNB7x4WlMQQ5y8NaATMArEAG60XRLvLa7Ye06vjazeA7/4vCErivn0wZbaHrDIJym/J9rsM7ZZtfxvj/MNY43fg/G90uw2o3wH0fEsLYn8rAP0nf/Hr/xIAHfhN2hL4PCDJkeW/2tEJlmLRSty4AOPlHy7QKpFj2OiHoU3eGyMKEG+9oCmW54D7B+wO8OIRTpKdZ7u23gJoxkazTEDybD8Ae373B0DnQV75q4uONyyrA663DCj2/gsY33MwDLP/5AU4xa4CupMNdb4tSQ/kaz2f7dqsfSo/JQZJC4Bzz8hm0pMNlwCBWc1/PmC2BXBd8BkzXTINoDkAue+VgYT7MHuP1UN9BOCYdCof6n4DvQcQPwtAH+AOeGzpPNMuPvXVKzGhvoiKANAEgAJwbRuMe0H2jjfsuMMmV54B7g/bHvNcvwOsd3zS7u5n11bgXgLB9u2uvNUR1j/AgPf2SJF//EuXjYikCcxuagYY7V0PBjo/8toHCd3xmOW5+6mX+1/ZtAXqIkAEzzHAh2d3YILEh/GpPdeJsViCBfB4FEKOasEGLLqG8V7//EviCOZ7fRQPdKz8jn+xzt97sXfQf1z39ySkkOaXZOA5lrix65uUuv4A07zz8D0n+67vsDgelYDpP9bz4fqx+D2nEr20t1F+OLLDgCP9WMfs+aUGI5mhtsDfF/McyDoqKcdaZHubA7gB3sZtkgN930xziZSbWW7M1pgIgCJZjaqPcmxAxtgHqA2gNMbyDt5AL1Y0L2hjQKCvcgC9JbhVlmm7J7mtRdmow7g2iQPGjEB542eKRz7JJwfY3L3Dldf2xqu2MZaUNLrZ7uTjjSUq81Y0It0+DOCSL894aCTye0cciXdgb/8HanW9fRorqw9qT8bSklgr+90PHVi+GemvAej8z9nAfLtsTCA6KffNQr8D6IDg7eO9x9/qtfu9Gej6Cf3eTlRrfe/hSfI48yTPzrZPurzOT4IHe6TGiBL/enb1FSxcvK/0j1RwetYlpzUuGJWd09cY//Cd3vd27uO57u6HOQGwHFPf2E69dZ+UfZKIf/IlQbB+fPt/1xdXhnlnHP/zkQV/92VOJzm3Mkjwpiq1VQParj6xa+1aJA31OXO1H/6lS9Y9EJxaC2sbNlJ93+z7nfDVAkB3jlEgOe/N+k6A+JZ7twDNu24LT3RS7uqk91VLIGt9QPXhf2B6z49no/oFoEvOtgDQN0N7g8stJMMBxRJY2sY81DE855Lat+/5xUg/6h+jqnTmprbfSTqk2EnBk2oHxuvTMdGdD9B+WaMty7M3kgQwyBd4vv8DWr/BON9g+vl+Z6rfmed3tb87+5ylnmSPYi0bQH8NdI/gUPymORD2eQA6EP0B0J9Y6RMrfdrA0waeNvC0gXceAP1pBE9H8LSBpw08beBvrZw7ED1AnO8W6TCTNxO61pX9XFCiYEX/AdFlem8JdYzvHQwkAdl/fLpbTz6NhCcQHnDuuAKnmOQm7put5NP37YP2Bmh/AqfKKFiKYQQkJ4u+QWpBPIFIwLgg72Y1uSagKR93wWXSdRha9hVgJlMvYNsEn3w8JhHQfMtftk/nK7jWNtgwgReSCDbLfZj+B9zmDb7lPAU+O8dm4ZBwf81Te7PPt//3ZnsJtGI4FnAiUSvQ2KLuABUYHAWOCkIloTigyee+cTFQgaBA6ctn+gu/MWBILJ3qofrcYK5rUw+AboA4pgNv4pG5Jhe8QMfKj5VVgFNQDZAOmMdQF5ge3/Pjnb4lOfsNhLiz2LdygGQQLC+g+WaM/2a9ze8A+duY6W/7f/uG3sHzkfU8gW+yq2/rx94GoGNS174LFgJ8JWIAgbWJAsXAYAvWOZbVSCmn3nCkPLvngEmBamB7QGQBXwzqzTjH/MHQBaoC5wHGmOIFqqcMR2Z+kktOMLb/SbP23F6S6YdVyudZGbR7jHUAPJWGSfZIPvbTX5vyD5P4yMGPZOlJNADG8zTfwD4AHAN3S+j3rPACdV94pnpGHBMoTA4dg24DAvzqO5+6DBQogN22w+L+M3/lDZ/s9g20BKDWd5B/b/uC1W1XvxDg0DE3mN7+pNjbl28pyfnKTdq/doDJy9OWxLgEgD4x5Cv3AJvvf5MJvwH0AVs/82vz+0f/s//laqva8rSZwyCfdZ/5tRev6yMVLxEAG5piAfajsk9/G0vyJHeQob/kyI8kOR/fuS+nLAO0nnrrWgDogv2900au/Yt/aZjpXeewH48CQ/VffQ6r+ciF9xxPO3r3yy/tJkD0XHe/6+/fYK7HVj8AOoCcFPAksZx3QmUNsOBn/3/8tb82IH/tFEhRnzSM46MA4TmuLid56iSZALKvpIij2CAZguIJywdJKxRUtAugdHXatoBzfuYDrn3hL18JJQNmnb4HgK9fGjDunLfrYxOANU+dgr1A95m0Ppn8Sa5L/aVknvNsTn9z5HWnLzue55J9tuc3IKRPYJmx2AbJ+wR+DJgNRFnS5977e8wmabBlMxslkxlf9d7Ejq78LFBI/m7Pbu/NLaHuPbpB2y0rvlnTrlPiAIDemKf3vHHdlqiv3MaffhvnGjsak25WNvBcsucGzDeoDtCtPQPY29c5jG0p3wBstwQ79Rv3tTbAx93YyrOLgd71DkP9+KDbfyf1bX/2PeYGpt+l6n8zAPqWb/92QfS2D3hP/j0p9wAtwPnbGOidV3KFZAd2Vc01gOI97wMA/tRXLznuxhMSWfsPYOhT0mzjtz1+7vh+zz37ky+qCi0sJpxDIl8LSwj9XIlmfW9d76TK2X7Y6zyojUm12e1J36JO1M8G0Xd9dX+oiVXu2hFG92ZhUxeZBLcPvjbvAuOiGUt87Kemznned57f9vf+PbMAIjHeWVRsmxbJgR0LM39Lo5PR16ZnbHmUT3biE9AfEI4xLiGuOqNStCXZ68tL4rMPQH2zzH3fwHnrSwZvLg487/8So1uPEc3WYWzXjsy5ZI3aXO1SWzX3fk3afMu3+04BQ98jqd0cnOoH4Lvf5v2Smbbn+fZG3//3TNQ++r0Xx7X93W9dUv9WxXON9+t8jXG/gfL9CcSevvYGrgPHXwPG7783M93y3f/07/rrJX/EQhdv4X++PdQtd+n2O3j+SLg/sdInVvq0gacNPG3gaQPvPAD60wiejuBpA08beNrA334QvYlbS1nOTfwA603q2uaf+u5/7WIXtB8pdwsfNNKbW8ocsN0E2QTeBFcAUsBws4xkufNu3Kz2/mufLQmH1Q6k7/veZnu0Y+Rguvgu6CjQtwF1Ab+238FO53UOfo9k2y0CDcMgJvd5Aoxb2nSD8s4hMUAwS+BUsFfAkS96xxHAKLjAE929KigBuAWgXyyXwzYBemOdAD7vMt4bMBf026xnzO4N+mJ4AwJG1vaDF9CwINSAQTHJf+hn59oKagVCBKAIQmGhF9Qq6BboRAoXS5UH5YBu77+AQwUUC07VRqq/AkUAXRKUXR8gne+4wLtA3AQbjw8xABNgO0zdj39pgLV+bxCdhD0QXRsg3b490n3fzL5L1vMw1S9/+dN2q3/Smvse3Vnnd+n2DwPYX9vn22Gnb5n33X7U9/YtfVsAqPXsKALQuw9bfl3beYMVvoBcwDFQHXBlASaO3PZhmVI5IOdZ+wFGY6N2TIzsDU5TKgDqbzaqMpAtx+LVRrDGL8bxYYRe0qAnYI7RDeAmG1o5AJ7aH/l3yQXASIA0afHNNOff7tzqCXgGQHHMKeuReu+8PVtXuQ4gN8/GAdC7fgD/JUF+QEkA5Xi18y09wPIAiQcU9SzzSweUb7/qnnlMZPUPKMdg7x63LWAxIJJXNbavc7dffQfGfJ/1R8D2vmOTk+1XdmWsnxrA4PMv7bVjCswDZdsGGxzbfAOmwFDl7JoD5SULkY2VUITdjAVfnZP9d99t0/9kmi9G3QGynQ+oXb0pV/KyAeUttf0C/4HWfcf47tlSz2SDKweVBSBubQQAOs/c8ZTF3OOHTuoWmIG5h9VdPQJCKkd1VP9R2Xontl1lazxTn1QfKhHF8zHs0U9//Uq0YQNALQHjX1LNBtMvKeBPfXXKO0CaJK/P/NqUv9/UFrR17PexCVjtz7Otb5DAMCoPq7w8z9tP0hmbAWx01g084rHOR63jKEd4p3VfAOgANsk8wJOL3X0Y130HeAyD8ADlo6pyvmMQSuYDjhs7Ddj+7st7d4/d+h9A670MpG+/SYJYEuPX9gcMlugIRAduk07frOINmPde3eOtu01P1wOEBkTXB2J5A5ZbAKXbG1ji6Wa530FlS2NAzFDl3ONXn8BLx2zsDGzaSgHGGKT4JUdQSXKfrzHtD/7cG9L4QEPA2CTUNs45xwWQ7zK17KRUILlr3fLtG0B3LwB9Aej/8vf+25/bYNLfDAv9NTB4Wxe1GPMqO8UpDHQJQWNncRRf+o1RLZH1snM6cxjKWHtMThlgEh1+8CVBRAKMBEKWTRQl+HXXL/ZeAszWX5CNl4Q344a87T/2py8P9pbKMQD+uQ8SFu6A+V6aKwLPL+n9M+Zvqcy8vPXZkqEmqe0kOnZdO+m4et7M80Bz7HPAeX14Zca0N9YBpLMc0Q9jh1ceKgH1jZQ75p10mOpY5pWVb3mL85gDzFzl0197g/lvH0kNfN6z8SDhLvGspXdon4Hkzb97Zms/1F3MywNyqw+JCqTVJUVgcJsPY2Xf2ecbRPdMYaCTcrdsFTZz360GtxOVJG2bl2OYt44KB3a5dryZ563vf2D5lcR83ivzrhV/OOebRPuPvXcB5W9j2VuA5FvC/Q6g/3980W8g+2tg+h1Qv8D47/mBeUZquy3FXL74i5+/CAuA89YDz7HP7wD6A54/8dEnPvq0gacNPG3gaQPvfGR18FT+8wA+beBpA08b+C0Com85dyC6zyZ4PLcC0QPWm3hiohesaLsm6STggbUyvpvEbjnOCYx+7IXtjU0uM/zOIL8HMLdE+QSoPvbe7N96AP5mb2ObC7SawCsPpny/t++5cwgQCPgVJNvBSgx5QDnGEIYNVtEViDxANVlMgLnA7/YE3Z5y/Q+oF3AQlBXcwqDHegesC+JVTzL7C04VkKEEIBBOIhxgS2pdULnPAmd3KUt+2ncAfQdweaALKAOGNxubBHFBrBYM2IKvfXZdBUuwOAv0FUDhbRhIwGO2oBQGKDALazvwgdw7pmtARMfu3t4Z1ZtVvX3c3VPytuOT+P4LI7MyB1piDo9/9QGreFWSwBWE3kA5wB0wvpnsOyhv2eUScCWl/9ryNt/zt4Hn3w5z/TUgXfsoEPdafdom1hjf0m+n74p9DswjDU5yGBgMhAT0AaiBla0nHd33/ht20ZFc7Rjbc/mSYj7szs1qHxbmCZ4OQ/UwRNu/AHEBQSxrfqiA/drzsLsPKO68wLBp5ycoO0B44PZhdQ+Qda6bxHbn4bEqCI4BjlUr4QDQRj59A6mSWgSdyWljwG9peT7Sw04/jDXP9AC2K7mEdL3kh0kaOGAh4N76FrYNbB4A4vya+aeTVK8PaN2c59Nfv5j1XQfp6wE5D3DZJ1lbKgIBrphmI6F9AuGtC6wEvJPIBoRidbf/eNefhJ/KS2Wjc3cNjlM/RJ6cTHzHxFjWr0nIuVQCTuLFBa4f329+6W2P5dZ1sLHoOrCZp70diV9gqnICaHsfSRBxXMx4iSEjI3/A9AB0DPTafe+a3kH1jUACbaqxQ5/VZf0vJvQFBH3xL815Mdan7b7/wvrr+EChuYeff0lqAFTMc/v5b8qUUw7gc9u5ej9W7gB1/rLendp2baK66lPbubzPjwd8n5I89C36n20ZQcUBE5UdSXXQQlpdPwYMH2DnyLtTwOj43Qesc8lDQCOe8MOGf/8lsYK/8VbbYFHgvVWb3T7nARVsGKrLq985z/Ak5RxA3PhlM7HvIHrjDqA5Gxfjj0m+OfsAl8mdG6sZAxnXKcv2U9/AO7Y0WXXnUXas844pWfA+/tye53fJdAC8xdhuy8lLdLPtyFcf8LTjYug3TgOcboa4c99VkADqgM3NQN8e4hjSGN8+jb+NVY2TycpvqXvJEt3H2hz2s3voPgyw+2Mv91OyAkAeu9+YXiLCvj7JqRssn/HjuUYArnE4JvSLB/r3fQOADjj/zbLQA6ReY6EDhbd8+1ZakgTs/nWt9XlYwi31a1sJCjO3et5KW30Hom97KEkZEuVqWwBHIH19S89r/V3Pa/2WvrT+orFF/VzbGmuzdZl+6sxTao/aYfVMWWorCakfdURdaLP0u08SJSZB45S9voiHOPD6LmVem6uP8mxqM5jngeabed7ctHbQNl2LRCGAtfGfd53kAolYAPKdNFR7n6SiY7ehzrxnSuY1fgDOSzSUuGCbFmMuzPfeR3sBnPc+mnn1D/2pmYPXJszdWt+cHXCuXQLPW7p/vOu1kd033ZnZdxDdsTeIvr3Qt+rCpRKyEtiB9WICQHQA+maQA91bJLld7PLDVm+fGQN84kW2nXralonXr24G+lbpIN2+fcxd8wbJXwPI3wagvw0030zz11jpyAit6x4HnrdknRdQ7r7fmed38PxhnX/0cbVneergaQNPG3jawDu/pevgIy/Aszx18LSBpw08beBvXxvA5GzyFWhVwGmz0WU+N8lrwtwkr3U8zptsCmAUsGg9kPYum7aDgoJmv/cExADCTcA8kkETAAAgAElEQVTJqd+l1gQsBQV30BIAjKm9M+A383pYHQeE3pN8ALogJZCaBKMgKrB/B/HIaN6DqBg8lWcDnYKN5EsFj0mrb4aF4LDA4pbbJIPpN9YQAH2z1l0XpoEgBVCj82Ih8ZNrGyAuQBZo2zkKiN3l2zGcN+t8y7oPEL881vdxgeekgcluF/gis8xjWODV9gVSsOUKdgGKMFOBHBiVA8hJZjisyeQqR74yWcU/96tzDyrvBnuxjnxO8PaUHwt3gsbHF3R7a1fuaXuHUQ/AHHnZA6jyjAWSt2DtvpZosBMQMNowlMi29/s12fbX2Odv+/5h4LnvdzB8M81bBDPv4Ll6nCDrYY3xLf3NAujAJ4DwAJcnGQMLfdrWAa4BtYBdbW5YXIf1Om3qsLQ3yxWjuG2dE5MX6AtUwHgt6DlS5qdMwDS/+Xu2AO+xwgCUtRHA5pzrx7+pZADAu67ngBgSTDC/5xgHFMWKBbxun3bgLRZyvwF4jiOxBSC4E1267qt9HjAF850XLCB9JzUETqpfLFds6fHMPgA+IHPA4C/8xsXcbgkgCJjmA01CHbDMm7pjYIu3/f4fkF5ZAqd5xU4w+vRLu6/hs62vGbn4k5Aw8vYHWO9anJPEunMD6SUFkK2f4+TDfoLuGO8bBMDUB+ZTR+jY6klCBxlf5/PMjLz/ua7dznZSRsdwT9u2Ns2XnYR992wz6AJBgDG1MTK9PTvanDZRXWGi927Czu+aejdVtvH5/tQLOBQg3DmA5kAKgMx41R8FCEBJz6P/vQerfzK5lbfAdu+tyo2R372Y5ILz/HS9lVUiCZC682lvXVNlqE4AKx2HJy12e9fScXgR80jvvNmSdOy2wUYfdYT3X+TZKbDU/lq2ZHHnHpD+MNGnrZD/TxHh9Bvdh46hH+y+Tv9zGPiShSS0YVduOwmA9SR7HdAYw5s8OCazJElAO/AFaAtY6b2JrW2cg7FufNX3zg+o3fYmvSsxnyVDbD/vkac+4K6xV+9O59yMc8CucWhjwMZOwCrgoHowhjMe2wpEGOqSI7d8u3Fb69qvc2DdbgUkEsrALL7hgPG7fPvdb9w4l/+5Mlxj01PnGP1dx5ZSHobye1+Z9WTxJXHxnzeu2Yx2CQo7MXYnyG7G+Waeb/n2Ld3uvz43gH5nn/9mWeiNRWKhNza5s9DvALqExe3tbQGgS6LDrCXbrq3vBNntS22cX1vXnln/1A9Nn3CUmnq+sZ3ZjVBlklDTcy5hpz7WGKRxQsl5Hb/zdc/MvdwLakZbrn3b8QDO+29bO5mvsAKo7Fv9ogSo+m2Asv5xGPvvf2W23/Ovjgs8t2Ceaweda+woTgIk1vfU0Rd+Y+rG+bwrJOCZb0gWGe9wNieNyU4f3H5Ab+U23lTHbYdd3/bGGc69fc0t46Ue6/5jL/Ot7gMll+qk+VrPOwl7wLlkBfPR2lX3XOKi69H/3r2/N4je8TfbHIjeor/xPLq/24Zss8qpzqlLtm/bRgzYzsecGkPvJlL/o37y41+a85B3lzhPKt75dxxiS9IDyzHQXTdwffuak3QHmksgeM3j/A6ob5b5/ROwXuxkK/wFnrPQ26zzH/jeP/gG67yYzQOePzHSJ0b6tIGnDTxt4GkD7/xdUwcfeQGe5amDpw08beBpA39720CBImyLJmRb0r3F5A2ILksaE72JaZPqghf9Z8JLEnJLxDWh3V6HGxTfkuMm9QUOBJT8D8S+ezf2W/AUS+kN+bgli2nZ2fCbkb5lMwWvgPa+F0RS9ntQcwdMAd1kQzGhCoQpH7ZUZdngf/9d3pPnulwvYF2gjUQ8hrhAM3a/7dWFcxSMCDzok1LAlP2Ul9Qif26MZjKWW8ryNfn27Yfu+10afoNsgveAGsE1gcH+rz47Z8cR9BaIr9x8mMleYyoGrOSNHkBRYBE4XSAygA0TtWAbkLGlMm8wuADVBoJrCwLnA56f4H3HBgYNCHOAW8D5xdr95EvwcvtJOzdWumSBux+6BIe2I69ZObbn+Wvg+Ietfxug/q0A+Lcx1TH1sJWA5wKrgqEFvet/vpX/+dsAdNLfQCpg9oBtp+6rZwkN2OZksCVuaAMYwO4NcAzj+C5/zh9aggSQSeCPXDyZVB7n/KXHR7zgoqDt+cTAnnIcadxhwL/75Wu/K5nkbOscgE8gNCDdtQtgt5CRD6xUP54j/ubqgHcoC4LNhJc8QvK79llQ/pJ8Ps84kN99owKw1QSs58cKOO66lJsf+rB0j7T5sO0+999OUF4CDelqUteYZIDtftc38CZvHVZu6/mKby/t9i9wTh6b1QSAvn4HS3xLfGPAC64rH0nwPjuP6x2W+Ke+OscnN6vvkCTguCMD/sGLBQG/dcB6AAF5+spU/ZCmxVinsNB1S/jRltzTbUUx93XJ7EuuwJ4LDOj9Miz8H/mmDzpmOvBVPfV8VZbWVbYWHq5AYv0qRrnPkUn+pb86AMNIAB/AYhjXH7yoB9iXr2xJfzHl277yVO4C2eR/PafKR9Gg8rH+AC4DpzG6KR5cihSHDcnuoWsnsS+ZheUIm4i+v+Flf0D1SYh474WpLuGA7QEJ5g2sYXtefu2rj+TPq92MJPRPvYAT4wf8My/XNsB8yQH5r3/yi5cvvX6qdiJZcMu1b+/zYQn+5C9/U+b3JA0aLxmfkAIn/2297XzvfPodLGljgfonjHjv0t1/AjiB9Bcz+iT33UFrgFHvrN5r/Zbg2f9A9w34d3zgMSBZEqRrAGa5HlLw/d5e7xvI32W6mJXHE/2+3QbQtw3QBUgeVq86wH7eyke7bqs745wtlw8M1g5I9c/2i6XePpI974mxxtR30Nxv44kNmu9tAejNZ/5mWJmvsdCxz+8MdONbSQA7EaHrDaT+s//pS6JOzw5Gc89adbMVhdybbVHgmWL3s8fIFC4kjtXHUxjxTqe+weqkfm4SUz/zaxfrnFe95N+uYScqSJLtml+TbN8M/XuCgQSNGSOf9lPfs5PesNArI8B7xh6nH5EkOmDt974oYAHOk74Gnm+7Akob294Dy9168vbeHWTcZ9x+kv4oF3kPUTmRhMW/XYKWxCgKQ5IvAeySHOy3WecttZXelSTHyZj3zmrevVnh6tlibtpSu6ncXa93xJUM8COvs8/1IwMiHw914Dkf9JatDuHZlfh09asxyUsSOfNs/UHLMMdP/6I828rAthJKqaBsCXfvkitBfjHfKTl0bVuq3TXdwfMNsN+9z++S7hdwviTf38Y+vzPU7/7nxVMabxRTaYl5fpd5B56XFAQ4bw70SLY/MdInRvq0gacNPG3gaQPv/F1TBx95AZ7lqYOnDTxt4GkDf2dBdJLum41+nyDGQjfZa/LHJ60ARv8XkAakm8QOs+Zj713gOr/ukUg9DG8Bvz2J3wA8CcGO1YR3g/HbS13gCRg8PuOHDbRZ5ybxJuwFZ3YAbHwMb56LAkqCdUBhAcAN6G9muGAjAN13TCoenbYlZSrgvAMDmyl0yYWe/8k6zjFPEoHEBVLuV4Dh3S/PsQvqFZipHrq+SS5IUvpISZNHrcyYzRtABy4D0AUS204dbWBdYPoKKOcJ+oMvgDLgBrAo0DSg+HtfGeCmMoyM+lEAUBeCjG8wcd//ZuCI13QBRCzQzhcQP2yYwwgp0FVgMdCsAGX/Yd3vZAHfN5Nauya33vHH13wFDUnGbgYywPxi9B6mPDCdbyowfScdCL5inmvHAPS79/le7oD4fd19eW2/10B122gLfOU3cE6lQHB2y7d/WND7NQAdaNz9AvZibGNQYkgDjdQ/KWwg+oBcH7wwVrF9A6JGIvmAyJIsAInAdKz2jsNDc8CzE1AFiALQSbYDJrfMf+2VdOmAY0dWFbtvWJUnScNv1wcgAqhfYOdhUQm8C2JLPJj2f+S0Sd4HFg5L8zybe1+sTkkDtW1BfuoQtc3AQNcjqCyxge1B1+GagOhUBHoeqmtJNQHqPa/Y8FjfmNo9u4LllR9jfKRcj6WDvqH+AOgIgBjG8E/8ygs4f+5dx5k6PlLlBaUrW4F/Xt5A0MorYG/f5NslQowyxQe/fnleYwQCTiehJ0WAA5JK7ACGSJzAJr9LemObU/EA5PZdOwSwAKUn8eTUoXrfdgj6IcAvJQHnnOSUD379AnYCogOmA9Gro4LEfS+gDizAlgYKVRb9NCuE2mNL220vWkktXUf3jRQvefaWwIl+1w5KoGq/jgEolzwG5CcJ3/uwvorSiba/1QQkKvQc9x/5+w1utR0wu99jvbASqfQHlAq0jVF9SO7/+EgD7cmys6QgH9/9HrD6JAfw55XgU1lbD2zrGJN0cUBwCQuYipJh+r1BdM8C4K8Fu5uUNKBvy6n3/wbPJSxKEmQxMX35YahP0sbZD7gs+RAQJ+kRg9zYSd+KBS250D6A7M2GBxpu+x1A75Y7v48JATA7edI4btjYCzTfljzKfiUXHDCJXY7rvVsZGcttH/T7GHUzhttmM7ftv8fd7H82uL5B8xmnnrrUZ1/s8jM2qd4xXlkU9b1nRDvo2jo+iXJlVbY7gL4l2l/7vddZYosbS/yNgueWOwsdeG7B+K0MQFttiNQ6efX6vhY2KBLuKCIZ02l/JP37ra67F/VH+vVhkB+muSSv+jDrJIkNu/uoePSOwULvue9597yS9Daf2cA51vkGzzHOfZdgQHFInXS8S3L+9BmVReKTd65+e5KhPv8yzpKkoa021+R5bqkMwHNzlPah5EK6vfexhCtgt/GcsX+LfpCChvejpC0S88YYkrccs3fS/8ve/73ut+b3fd9hoQeBHqXQo4acGBoIoSEmYBMoRSFsclBbAp8YJUYKrSmtEBoSbKkzdcdhtjWM1dniq+yxZGkiayYzqpC8mYDGqIMEI1l15SjFofVBSmtSyF/Rluf7cz3WvL9Lnz36MTPaM846uLjve93rx7Wuda1rXev9er9erx9579dnvPdckyRFtcZzv/PtWdRnz7kAcsAsufaWe3cOwL2D5hIV9EXvRb0TNOerbiPRn7LSAtB7lwegU1K7s8+xzl8SU16k8QHJO+nduEFFDgAO3KZwtlXQAOTULdiL9cwBuGOZq7dxsuVbpcT+qdGpR/WrrjtBQAGkbzb6a8D5a7LtG0jfZYPne9kGxfmeIyNstvlrnukbPOd1/q2ObU952uDpA08fePrA0weePvDOt7UNngZ9bqqnDzx94OkD/x3qA4CpLenei9u/9f1/9b+teKnrJbpPL329hFvOD72XQuC5YNkGwwXKtkTh3Z8RMG49wPtetiUy7XezN3h+e0Hf4DlfNi/eJCVl0leqEyBYcGIHKnvp3tKdGEeYTCM3erzNJxj88Rd/drLfgsnbL3RAsvN9S9M7XwD8XiZJQcAZUM4HzvmoX8s654JyrRO4EZgARN8+6dtnrvOsDUiab/C8AiQXOLsDr5hOtc32ciywCgBUSDYL9GF21nYkwgXpdvBSYBwQh7GHFQioCqAI8KkNAnMHuDxgG3llPsEFwkaa9oDBm3m/vb+3hD32/vaqVDcsYKAu0AQ7/ZJL5gP9iS9czPPq0ueASJ/4wsU6J41PKeAOllu2Ae5v9v0OmO/t74D7Zp6T63RdSLd3/wwA8VfefateE4Q+Qe9A8T+MNfZhALpEBGxnLGm+rBIwWrc+jXmJ7a2tgd6BbADmgo8kOUmrF4wEFA9768d/8S32J3B+5CYB9QcYBh6TlN/S6tWxz9ZRtpe5hJP6Uv2g+3IH5DdAjwUvQUMiyrZJcH+MnPqRnCblTZbeuhjpmK/Ok696xweGVm9SvxIFMOhrK8Cpfaij+wCoDoy86vLe117u0+SqP3+8yd+8qAUYK0a69ou/f7GzMewLJE9izJvfuYDXPkcZ4L2vzbZJgtsn2VssufH4/sxX5zhtV1u0vP0WeCf/jhl+ydGf7wHjQHQMOJLfWOn6WMclQz/j0edfvGwDhYHbWPn2j8HuXIyh9R9sfOB917jjA1wxkrHT3Q/6huO5RvoECXJj2L/0Q//JrMPDNRC9Zws2emBA/ugBEIEGc+xzzWpXrL6uX8cl4dt6XfP+I1FPnjhwvO1bDtho3/y/+aC7V7D5WqcAfHUis4wZ33je+CW5yzPI9RnLhaXUQM2BvG/LOweKCKNocAB4RSKD6zzM9pPgpV0pNAB7qC1UB4kRo4Jx2OCYedQQOs5YL5x+Vh0Ba+OdvlQmal9JBlspAqA9yV8nocXzDFANWAU6sSMx/zEWN6+5z41IsGO/ztzoUy8grUQ7ajMXMLn8xfe8aKslSAC8vNAPo91+xlYAQHwY4eagQOXq1DwPgMdL3NzPs04in2exhLdLdn7NQc0/t2IQIN98YVSKDjBkjrwVjzBNN6AMUMeUp/QESJcgah4O9K+Qfq9e5sBArA2e62uSW7pum10K0DLPYV9jDlM7tR4AnT/7XXpesur2QAeY+w2o9d+eSwDQvxWgSWLx//Rf/Vd/qH1uEL33He8F6i+BEptcImX3ZONa44tnVPcNGXa2Pa2/E4t3wgXpc4lDjYc8uEm1Y1QDzyuT/HIY6W0zlhZHMcf9KsFjJ1VIvsRyJtW+Pc/vsvaY+VuNattaTRLcea5QiFHnxrfaqOcExY3GAEkz9enae4PnfM83eO5+rM13IkGfAd0AdOx3Yygg/5oPnASgPnt+UeZpHPWsoXJin4DqzssYv/8nId/59X1bnPTuVd/v3czzyPyp+xVw7r1L8ob3EO9D3gfcvz3LJJIBo8meb3nznQgEXMa63gx03407FDgcU+KHexwLfavT7Xdx7+5bFY4qW8+ju7Q7AB3zfLPPd7zBfiUCbE/3DabfJes3SL7B75Z/GED+zZjmd1C8caMS07w4CeB8y7VvoL3Yi/Hs8Tr/6ONkT3na4OkDTx94+sDTB77vAdCfTvAMBE8fePrA0weAU4JGMdF7cUsOEYguI3rLj+3MaUGUsugrAFxy7L2sC+ptaUwv7oJ+Xv6Bx7zMtlf5ltcErG92jeLFmkT6ftEmLQegx1pv3+pKDlugzku24KnAgUCp7QW+sKwEUTGrBM5IlBY8E2Dmo8kPU2Bu+6EDzgWPHUewmfznbk/bOW+Bs34DEgp0FIzi1dgxBC5qE0Gsu5f1DpphoG/AdoPrWya1zwKJ2w8cWEdCOcZpwa6WbwBdQPUOoleG+X3Yt0CwwIkAtICNgmDkcQsm1uYBAyShh5n5+ZdgHol3weD66wbPX/MTJ1ff+UmMwDICkm4AdgAqIOJhLG4g3efFUEwV4CRmtH/y7htA58sJ0OeJ/how/lrZ/90B9A9jnu9gcp/aSYB8A+iuI//zQPE/LOC9AfQf/Ninv/Lv/Yef/m922/RJ+rlgJxnhDf70SZWga4rpTTqcvzFWKFl34BLfY9cMo7prQvYdCA5Q54UOfCA9jz1eoSoguI3pC5yisICxXgG4GE+A+Vc/OvLqwPrd7wbYj5F62mJLPJMx38kGElEAhZjom90vOaDz4iffsdpPbTr39gH33ee234C9AHTbkiLfDHDgf9+7r7HKMLL/4md/e+7zvldfgWxsYZLtXa88pvtvg84Xwz0Q/Od+72L4keFufb7RGM4F3yUS8B8HWNbWxhYsYIw3oLU+6DwKxGOwTULPF3//ArwBn8N2O3YDkzB0QP62BcQCWQaQDcj9/IuXNunc9i/BhG/rBZy/97WXBIczNkrimb73N7/Bzm/9bSeAWRdAECgSCJE6TUHxAAOAOllbbEGg0GbNYSMCIarzsPG/+PsXSNL5kmZv39Zlu9CzzL3XeZHhBegWqFen5i492yR2DRhLcjj58jMeswLRlu4NPuZAcJ/1e8k6GOUUE4DnpNuBTJIFjCvUAMaP9yTjjLLK8SCvrrWV5JvtWz6gOw/fM75JPOqzsRJAKhlIQttWsqjOwLfNNh+Q/ICtQMENUPM6BywOgP7jvzjHa3zAJufTy1cbgxnwTbYdKI1ZDjBnoWL9y4+d6s9RxiA3jOFuzrQlpzdDesu3m3duyejNYOfNbn74lmLQYdX7X7080y+bnyMtv4+1weQNim/mOXDfdhtM33PIzTjfvt3ms+YXFJP0p3l+/cQvXMCYRFD+9a4Xdqm+4Vps+XZ13hLufK4lK+xEgc1a1w4bQOd//kdJxvujFEnFSbm37w2ib/Y5CX/Xf/u+1z6Nf403Wxpc+7LroT6w7Z4q/KLJmWNvS+4z1pET9wxsve7xxgPs58bH7u0Bs881uRJcbz7n5m5A8800vwPn2Ml7/iip2L3f/IZdxJ5fk5bvXNRvxpyjwFAfxYDfzPNKy+o3xgV9pvPGKpeshinuuYuZDlgHnvM/pxjCd7vC5mKD5j17tse5ZL1KCXmuiznIlmwn185Cq+dUzyLJDJQAgOeVLaevD0qokcgDaK6/dVzzV4prW8IdgAwM/zAA3TUGoG8f9P2OyeveO/i2S/Pu7Z3SWHMxzNlBfOoXL+Y55RKMc3Lu3n+3zcdWoSvuACC/S9Tvc96e6J3rHfh+TdYdceCbSbgD1JNg930zz4ud9B8A/c48f8DzJy73xGafPvD0gacPPH3gne+ZNvjIK/CUpw2ePvD0gacPfHQg+pZzB6QD073g9fLXi2QvhF4kC6r0HxB9v9BivWCQb/n1u484oLz/NsN8M3F2EHAze6y/wXsZ7q1b0AATezO87QejfHtICpQWPNhykztoqk7tD2iKITUBsCOx2os/sEzwV3Bxs0E2kL+Po30m8/6wuADoAFvtJKgn6UAQQ6b/lpJvWSB6AYmO2+cwcf/6e1fb87LeHugbOAa2bsB8LxPk4YG+AXSB/AAEHscCWiOj/Zmvzno7cOQYW4pUMsJm3mKUYuPwioyFN2zbT35p6tb6AKnxtH3zOy+M9TxwD7BQALTrVBAJ4wZjZ7dHvzvvnTDgXAGNEge2ZPv2cNcml7fukQbfQCoWEdbTnY3+WtmguDbc/2vL+zavycHvZdsKYTO09FsAOjAfgM7//E8CoAOayakXKCxg2PeRwv7pF5AcIEtunN+z7S5/39PW9QMew0D57c0NSAfK8UsuKDuMwgMydY27J8mjk0gWOOcPS54dUGU5YAqITur8skA4wfq+A/IlCpBVv5jrh1G7/YD5s28/a0Fg/Y2lQr+3NLy2J4M64PdhLQ5w8u4HF4CAfQYEJDcvWQEAj6XdcvdA5+OeALY3JnT/dtyOz1d0+5pj9w7b/DCCMdeB2fxJW1dgf7Y74wYvaqBoZXxU3//1AWIx3AqkB4BO2wf0H7Yamfnq1LEkDgTck3QdZvMB3Ktv2wKAhyl3fG47B37YtT2m4TDPl5x9+9JWwHf7MJbyRa8d6gPuDfLk2p8KgHaglNC+AcbAY30iljkJ94ACz8OuEzljAHrLAha6RiMvXrt+6XenfrWv38D+AZWPb3zL/+bf/6cXoDT2C4fZaL89w5xT63d/tN/AmvpmwH73dQAXRiAAncc3pmLH6TxHneTTLwz02p5nr/aQ8CHZ5C11hfe+dm038v4n+YRKAXa949TX+i6hov12HVpP8o+kFQxuY8a2eNA/jBFAduoWVE1m3Pzc1y8GvMSW6qB/SdaZdQ47Hcjt+MAzy+9y7RKbOj9AO2sZjHV+2liJ5mtsW7Z9i22AMH0C2gEv6tEyVjLmmuZKnn8t2yDRBnA3GxzQ1frAb3Mtz72tUgTg2vLzzmsA10+9zOnsx/N0S8nfgXMJqHdJc4C087E/89093wZmSbR0PpISxtv+9CeS3z3TsKNr04AtbH/PgP6f59Ca3+45/z4Hc7mdsLDP685IrwR6+QSgJ73+7QDQzTfa32ah3wFj88/dH7VdoGXtNOoYh8msr7rmvQ/c58Ok2xu3JBPx4W58o9AEAK54rnlGlEgWADwWFJ/7+jyHuw/avwQS8/Ltd77Bc/P9zTzfKlRA1baVrMlqQR82v28c8bwdC46TzLoZ3GN9cFQY6hNUn8i1Y5+3rP/Nb2rDzqV2bdysPbDzGzvZmPRbu+3EA9LrjYPmjD47xqjenNIzxTNpA/M9B1wrvu5b9n17ndcnAmTrH63XPvtOBQJw7npsqXbf76pf9SVjXfuiljTlzQdvyaqT6yfdvv3AAefA8463JdxJxbt/9zvr/V1ccvp9maR2VmsXEL5U1CgwbTCdyoV1JD55pyfdzkP+zjQHlgPTt4w7pnlxDT7nd/n2t/6/eZ7vIkbSJ+Z5QPkGz/tsOeb69jzfzPMvffGX/8VHtv2JiT4x0acPPH3g6QNPH3jnu7YNPvIKPOVpg6cPPH3g6QMfDYB+l3Ov3MH0DaTvl8aCS6TcK4HoggIAYfLuvbiTpwTQAooxuivA8+2HzvNccFI2/Vvg+QLTvWB7yZatLohEdl2gERAo0LeDehgnQHMBV+uqv2Ct8+Vrjm1UoEfAoWCRfWzWEkAem2WA9iPhvgN1/OQA6bYfVvqREt0SooIXAprVT9ClQE7/kUJsOTY+9jn2yR0836D5LgBaXt3Y5wKHfQL0eMmSOiz4xIe2+gr0Kft6KBgpAEPANNZ5gTuA27ADP/PVacfq2jYBRK07zNPjfV3gc35//iVQKSB1l0DfzHQe5CTsnfcAC8fTGoi6EwiGgX68nwGK/KaBt+ONe6TAK62L5S5BI0nlyp2Jjh1/B9vvnxs8/7CyAfXWrd3rL537xTI7x9h9QyCw8YT/+R81oP0WA50P+gGRsJgxTisSFjYz+/LwDbg+nssAI4AZNudmV5OybX2AO9YlX2GAPcUJxx6g+ABM7VPwF9vySrxZPrPbz5eSAVbUZp5jmQPQ+Z7zWW09/cI5k5UfcOz4IZNIL9jvXhxg981hJ7/34vNNsh2Yjam+2xswVz0kBTgvPtrAcvVwLnyege48ooHTfQ6A/NPfYOuODOsXf//Fp/mA6LPtz/3ei9T3+9+Qp2/f3ePkw40LwEkS15XY1tsCYpjcxwud7ym5WMxvLDcMe4x5cl3kwsAAACAASURBVO3kuNlTkDLv/w28j+T6YcQbiwC52qjtKQiU9FMBpADOWza+2W9+Z8YKx5qEhgX6YzzPfXSSfIxLAF/rW2Z8dq6xz0m4D2h02GXdG0AEgFKlZdh8ncdm1gO+O2ce6TtpIZaffgAkcT0B8LzAuy8pLgRaBChVl+rPG71n4ZZwrw1qt651RXtTA9ky7p2/a1dd3Ff180k6OPfKtg2g+uD68ihvuz4xNTvHDYR3LpJRJC50f2OMS8gZ71tj27n3BqQ+CS2UJNx3njeSWyQCqHfnMeo5Z9vWwyanqoMd2HLzoEsy/Uh6A034ZAO2Aa+2w9Juf+Y7nqPmQJKSNpNxMxcHSD+sTMA8ljX5cfMx805z0oCVO8t7g9obBAaQm0+SVDan28x0IKN1dn14X5sHm1vejwk4257o5kTqZB4L4NpzV/XdiagKufz6bu0m4YJdgOcRhnnPpFGdClw/akv6Gub95UP/Qz/+1vxaPXepnTuX2t/3PpW7JzoAXTLetwNAr1Dlao4CRAeIqYM2lQhr/t89KBG1sSbGce2kHSRsjOz/f/SfXiC6BKXur8aq7nPJYMb/ni+Nf5t5PqD0kWufsfrN78zxWHBIKJnjnKSPzTq/g+fm+1uyfStPkXk31zOvnPub8sSZgzfOGb8xtNlwNK5SiKl+k6B65ovVB3C+P2t3c+c+3Uv1T8+Laww+qi/UpTb4jaVOTabxiAqGpCJzrK7JsLp/6YX937Y9R9pPyyV48V6nFuCZR5UFiF2f6DkYmF6yN0a4pASJwtuLnlw7uyTvjH0aM1lveWYNqH/eV8irdyxAc/3gLZ/w7//hy+sc+xygvvu8xBHjiHFm22tsQF2yEAB9A+kj/X7k2T0n+j4JbGe9zsE7u/3eVeS0o+Tz11jnnVcg+E4a2BLuAPLKBs/5078mz75B9M0mZ2/X8g2eW3/Lt1cCz//CD/+13zWOPZ7nTyz0iYU+feDpA08fePrAO9/1bfCRV+ApTxs8feDpA08f+OiZ6ID0SqAVML1AEhDdSyAZMiz0DaJvL/RecHvRxX4BcPcCvVndmzkNPFeA6PtFeQPxXqat377Jx/FMw8K2bEuo24/g3GvMHiz1gjaCBRIFvOBPcPfU17kKMDjWZvxgmQsoWBeTi//nZqUK1gHntx+7dfmKXhn/Z/8C0Ns3PRC94FH16PzVrWAW8PzOQgeSb+nwO4AOSBVYlhQA8AUEAGOAM30CzwrGbWZG+xZwBZ7voLVA+zBujwwxliiWSp880WvDAGFe4yQQMQA/9sV/MsCaQOWwmD/xhatOgl2biW65wDaGjmA6AADIWl22LzRwGFgB9BSMLFjad97TgJLtnR6I3mfHvCcvfFhpmw2ofzN5dwVwcMlKHl/PO4C/g4GYFn8SAB0wAwwHXgO8rzY798DFqD1MyAs0OiC8vodVXQCVf7nj1NYtb//a3vUCGtR/hsV+khzaVjJEgc1hzvz4L74sO2xJgePNOgeM8cgFfnd/bsliSSIA+bfsAN794AKyBLMv5v3ytQWQYVnzeAb0TdLGCUC3LZlUYDrpdbLX06cDsRerf/uzt834LbdsyUQ7F4xHDGCApfptyX4M7IL0gNhK92jAuUA25h6J+mHUHqCy9bGHa4/AdIB5Y0ZB8VjjZMvJyQNDGxewsEfC//3fvrymsc4Bz4Dz9knZYgDYsx9JCyNV/vf+0SWrXt/maS3hoLpN0P6nX5jDzqt11HusK45ELUn5KxHh3Q8ucPaS7j6sY9dWW2NR62PGUn0KCxt4HlhQvUi5178B5gHfQBSMdBLuW3q28wxkqPCul/iAXVc/pBbRdsB3wHnH1M71p3633+YmHbf7g39684aecY1TA96e8xpFgcPo09ckqky7H/9zn+3T+CMRBYDORqA6UDbo3EZ2+cgaTyLHSfKoL5XEod27h+oLErEay7G1L+/wA6A3dmCdd7zuTe0gIatr2/qYqh1jg+iSXSQIkfQeFYkDol4e6MdSxvP9LYn3M9Z59gG5zYe2WkbPDnLnwEZqO3ep644FrAWwSCqUsHixvj/xkqiE0W4s3UCQueeWDL8zdVuGxS2JD4h1TwalImTONwmaJwGgZ2LXQJ02c9dcEltUfbYE+vZkNz+9lH6WN/dWWqq+W76d0lPletYcVZvalxcxhZBtDSIpAzgreWGYsJ4HZz7asjtQbs6vHZUN1GnzfpuTB2z5DNjrfeQOoH+73oew0EsiJuUOVKw+rin7JfcDNn4A6Wd//pdnnJP8Rq1gM895o0/S0hkreg7tcZ39BxC6742JAPTGKcoXjVeUXiTQsfrZ/WWznHeS7PY9N+fnu+16mNdKEpWUaw4jeZWqBeWTgGfP6sZ9CWDugfbbsTr2Bs/5nhv7WAwAk9sPNvgkrZ2kMyA5lRlzAYl3LZcIeFf4odjRfwPQHwWTzqFnWXOMCh/1LaPfOQLPS6Cont0TbQs87/1zZMEP43m/a/I/l7BgrHGPe7eUpNM9Vh+jxGRO3G9zRu/G7efOPnc/+ZQsAkB3D1LmoIxhrLpbsHXs3im9+27w3DjtnsEur57dIxIBBkz/1C+OWoz5s+cCW7biCsBz7PO3PM6//4e/8fsv/8h8xzIHqgPLN6D9B1jpr4Dl9+XIBREK6rctKxaS93lxku//t/9nb8VNgOiB55XGGe9E385x7ClPGzx94OkDTx94+sDTB975jrTB07DPzfX0gacPPH3gv+N9ABu9FzhgOvCqIFVZ0l74YoKSch//rn/tX5mXw/FC/4m/dbGwe/H1cru9yzdzewcesWM2eL5Z4ZuZvn3W+7591npBB+JjoAPS1a0X9C3r2b6236KAUcsA3QKQG5h2HEFDoKIAZsU5FkATaACmbqB9e6nzA52A9GGVbqlIoKx9Vg8AYwFyIO1mGe2Ac0WgVOA59oEgTee/JRwxUQDZfxgDHcCNiSXAuFmxlQ00vCV1+5mvzjYCa4JJQHnH0G+2ZDw2OjCIr7KgJCnHAl+1V3XG5uNTC9i4/Il/7vcu/+UCRCTuNyNbPQUnN+i8gfTOC/NoJxLUBvfEAgAiUBJwtCXHB5gEgH38G0zlHUQFogeU3yVEfe6A64eB5wPI/+DHr4D7JC4cD1MBYuv1X8svGco//xdGqpBn6bcCoJMSxjLdPtrAbe2IHS7Ae6kUHFYmpt1mVdsesxXLvPUcA6hAJr71AfW1J3B8AK4DMGHmkb0FRgi+S5rBkNRnpn+uRBqfXettizDnezyFgea8mwEcZLwBu+5B/Y3HM7CZT7zvvLN3IgdgtQCx+8z1sF/X7UpAOOoB1BZ4pgOXB7Q87Yz1y2danQXlA2gLirsvhmF+pLGxuoHv5OBJf2Ovt13nQTJ8AO+zP+sNQzD28Oe+fjGKAc9k4gNBMI3Jw/NaJf+9QXnM8ravr7mvMeSwhjHKjQOAXQx7TPnOq+1rF+C7+qqL5IVhXJ8EnfGBPckJA6CePuGZArAxFkmkAKD3SbY9EKH99z3QIQCBDHH/kbutLn3HSqxetQHww/l1Ldq3/spSAYBCuh0j8UpE+8QX5jjzTPzYT11gQ8cI4Ajo6tnW+DYA4kkWcR+0XddlS9tLuiF/DmS8xpbTF/xPlp9kuz5Vfas/dYDaf/cptgxzTx25c0kxxpbL8/tIt89YUtLNGcs2k3KOvZQf3EejitF5nuSh6k1BoDlCz7sZcxb73DglWafxSTsA3wGLtauxGoAOONljmXkVBrpEy8sm54yLfNWxn9+S+l1l5mqnfoCexkYywNsmp9/AIoD5lg83f90y6+Z7m41pLut5bxz3DOh/4+CWpW+99t+8FEt0e5kD9dVRubPit6pS9dte6Bt4w0Df1kCbhT4JmOcaaU99HPN1J2hthjqVJHPhnQTQOWhLbbvl2+8AutLvLd9+9wz+dkoebyl3IDpAUR33e4s5uSSWxuzYxo19fZo/sFkAnHsWGic8s4C+jQ+Y0o0hEsPIoPcMa9mokHzmq3OvUibaHu13mx3z0+arAHTFnJ9k+05s8N62EwGMA5f600lcNX8YVZEDYEsCGPB8JWFIoCAbv8Hz6uE9qO0k67AQ8pyQRKVQbeo/Nk4sX9jAUNy45hinTuZPHcvzZPuZU1Bhh+P/nmPZmfTJIivQvLnJPP8+88W53wCwgOs9xtwVAnbiDP/3Szr9b/ziJUE/yjwn4QsDfSey936r724AXT0U8u33ukkYMp4Asy/G+bLSAHjzQ8dIN5bXrvVVRRIPlRKqIjspCpO+fVdv7/a83Dd47rwkCAwrfXma7+/99yr7fAHlAPXNVN//bfC8PhxwrhQX6f8+234z0O/s8wc8/+jjYE952uDpA08fePrA0we+74/QBk9HeTrK0weePvD0gacPfFMAq0BSL3tKIDrZsn/9z/zLk2XdCyMv9EovjADvXoCB417E+d6R7eTXaJtelrf/5D0LfzPAAcMkJHcGPNC84mVdVn7bdHwA+p1lBJDdvm9Y9Tt4uiXhrStASSLTuh2P9+XFYDnBBee1GeYCrIIWbcszroCc4DHZuwIpAuyk3qtPARztI1DddtqogEPBktoiMH3Lt/f97gFOqv0173MSj4DUC0Q/4O5rQDEmScFActuAacwX+94Bwi1LviXj97E6xoBZn/8vLjYkyeMCmF23AnOkiUlBFnyLiRqo3megVAHBAmsd6zWP8LusO+Y8qwAByK59+6mOGPdkewuCYjZvqfHWx7QB9mDuYxVjEQaGbJZyQVuJCxIZAO5X+bEXcP3D/NQrbUumtaBc51hbtBzYa923PB3//F8YtsUfNVj0YRLuGOYY1QPYLAAIy3yzrzEPgd+1C0/6go/2I6CNyQXo7b7B1MRQ34A16eBp49OG+vzU4cgYY6NvEP2SND7JM8AyPr7ACd9HKv707X67lh0HmLR91slJAz3rMwLIgLXtf43N1diCpQ6EH2DwsLaV1h829k/8wkuCwZGPxebf9zpQ0Pdhbx8gVNu2f4D7gPOH1cY3fLOQu0e7NydQHnDd/t//7WHydl3bbwF9gETnNXLtb44P6vu/OWxf/uAdN7CjfWGCY3MDrW3HDqK2w0zf8uw+yfIC9nmW951EPBC987C/zpVEOO9z4Or43x4w1H46r7YFKmABGl8lNWg3fX4AjdOnXQPLNvsfc7Ayfe/0qUADMu61ecBBz6HqhpEXkFCdsPjGF/bIErdf8sR96pfVDWhU+5GyB8QDYkYa/ku/O8fmqzsJaKu/tQ7gb8Dxn/7K1LvnXoHvxuVJQjnJEB2rfnYlfpxED21hvJWE1bEkMvWfew743zWvH5IaBqDrx12n8Zz/5Eu76ec9s9tmnuEHoJprdcYPQPUFqp9rxlbBfactW6+2NDZKNJOUsJOTJFKMTPt5TjW3aL7AxoK/+PUsOYlA2//cb+xCIIpjAeE2kNIxzKUkDAK7JSO1TfeqeZakw/q4uRkw19zKnAfYDey5FIYWmIV1Cdzdc0MsaoxuAM+2luFRfM1/DrMe2OScAPz2sS2OAJe+A/ex0HfZ81BAOfB82wV1PG0JZKtNB2w9ljOulX40iQdL/cS8wfO2wv8bULjrUR3M3TDjd9vuhACAuXPdQDqgbwPo3wnZ47uU+xzvgIquu/PbViyV+iS2cYk9fdb/u7+whCm49ClZx/hvTACU91vyEyC9/U9S1Ek2a+wY+6yUbf6j/3TqtSX+AbJUkoDnm4G+rZrMuV0f/WonwW5rBn1F0qpxe/ufS3Qyr5JUUb0AkHff8yvh5CgtdYzq0Zy6ftq+a4sZK0+iG19y4yv59upTew2Yf5IazKEutZwD6lPdoJJS6dlV+dn/8//zSgoDqPcsqYw8+1HB8H/1K1Grd+MBehdoDaTufq499P2tzkBBQtIqYPnqQye5gNS8fga8fgswP4V8PDBZfTYDnZ1C/xv7qFd4994J7JLYvf9LVN9J3Nv3fMbqA5BTvOj3jD1L5l0yFdB8e59Lyn8LPF/ntb3P7/LsF9B+K6/Z1b0GnBffaL1/58/9G5dqQgD5Zp5v9vmoDpxtN3guofjxPX/ikE8c8ukDTx94+sDTB975nmiDj7wCT3na4OkDTx94+sB3bx8oQFUgCRujlz+S7jy/YqH3YliQoEJSDdi8s+EFRzf7h8RcpZddL+wCl9gsWwYeYL1fsIHB2zfNi3wBJnJylm/fSUC9wKmAH8B5e6VvL8ldBGp35v9mKgHhSb4Dslu2s/BH7vRT3/D724wXwYs+Mbu292KfAuQBBf3fcTcYh3EkIDPlY+9OcK3z38yU7YXIp+81FvodUL+zry+ZRLLTRyJ4fJgPS6VA1wBRn/qVCeaSSAdEY6FvX1Ty7ZIdtJVg/iVhfYCo5BcL6BVc46/b8bCoxwuXNPJhomOstm1AOhnf2lFw8g6iC1b6f2TOl5ypgBgmjyCStlJnQON4Y3761y6G5AYogTXA9e1zTTIbOL/ls30HsE/iwgmSbkn37ZNe+9au3Sud414Hi323BanQLbn6RwkWfTMAvQLsnODnSTAgt749focpe8AafY6PPObRxUJa6g1ARQxzUsqOiT3pnsJawrokcQok3zL+QHQglPtekkvr8KO17sVe3+D7krQn7VwbYDxetgDYygdgkzRQuXzOz7oXq/n0n+6Ry/v5zQsgW/8CVmImDyh2vN53gkHtTG3hYizmJX/sCSSFkJDWt1tePcmoA/+NFQOyHlAd+FDQPKCyuo6n/fIU51XavRwIXl0B2ICM9tW2jUPd6x2vY7U9MBWzDZjceUziT+e0PM87LpY15jFvdKx39Zjx5qzDX3v7Zve9RIGtsCCZwXqd67DQ37wA15IOALMz1r3/Ih8ObCgAr83r13PsG2DsftFWEjG6plvCPcZlx+3aN6Zh7WGhF+AHZGDx9bu2rC8FOKhTRfuyTuBlLnlAoguwpPq3TvcRoLi26r+C8i0f2fZP/cpsQ8K98annBRUHygZdfwlMZJF7NrS/kUQ/oBa2d+1KCn0sCD7+5VlHcgWgmuzvJGK9/5I8sJUfjO9dK1K8Y41w7BAAl4BkHueuk/N2HYHurEHeGhvPPTr95yTkDQvw9AvJPxQ8GoNqS2MXMA2A33eS69UPQ7zPAfjOXGOPmTzK57qdZEvsRvLi5NAxyq95y2KgG2f3OGlOBbhXf/MwoPNdwl0BcG0/cttuBrs5KXAV0D82HWdO2CerAG0ncdJ8VZ0U802AaAUgtBnoWx59F3Wxny0rT8HHXBSQf0myH1nl7pVJxvypr0yb1r+oHACB+78+WvsGItYWXaO78pT287u2vScEAH791+cfBqB/J957gOjNWZq7dMx57zlg555DA8/ZKDQHV9jD1FYlFrWse1vbAZ2xmed5cSTBGxsbHyikNGY0d20snUSulfjnum3meW22kxhfY573PQAb67zk2dp/s463YlH9dixXTlLFjEeNTWfeUJ2A59d4/f43bDgkzbD/6Zivsc+rv+et8YdqWdu1r8ZoCiajtHIUViQeqEfPG0x+tky77pIAjBtdF8+crtVmlwPMSbX3feT1/85L8ljPO+v2Pta4B/AFSm+J9LuFmH5PsaFCKn8rWPBtZ/VS0VYSqilaAM2B6RtArx5d8w2iA9D7rB9Qe9tj3bZeM25LSDKetd1mn782Lm8VNMvuzwH7FUvYku3OaScJaOsBzW/gOiCdrPtdmr24xl26Hfvcf8DzyAMle/A9T4EPeN6y1t2Wd/YVeN47DQWNjzrG85SnDZ4+8PSBpw88feDpA+/8kdvgaaznhnn6wNMHnj7w9IE/NJC0QXRZ2uTLKrzQ/9Z7f+eScg+U3ZnjgOXNjNn+5hX+dspmdXtZB2jvl/ftr75f5rHPAegX+/ps0/odV1CPLJzghboKVApkOp5gggADoBuTHvAO2N9SpQJCBeHsyzoCzs5VsLP1BZfbDqjHB4+U3wBIJ6sfgA6wa1n/kU7FHCiQUsCtYNpr/ud3CXcS3xtEv0u6A7sF4DbTmqQ6X8IJAMW0fPeDObeOVx0w3++ALjlygUz/8R3FlCbTPX6R731tgKUCkQE4fIZbB8hP4pvcrkBcATv+yQNYfepX5hjaZXui+71Z+9sjvvpXx+orwI6t1rWqDgVZB7A4MspdWyA6cJ2s8JYXJs+LzQmkxK7fPtRAnwoQybVy7TaYPv3o9Ft9AHhe+wHanX8B0saHP27A+w8D0DeLkfQwH9AByk+bAQfn+up7Sz7VfWAflyTtAXq10figv/lgrgdfWF7mQKJLkv0ASdv/92Kes2NYkrfuS8FEsqiTzHHO0flejKkDpl1A5wG6BLP5rgO8nR8AvbYaie+jwrCZqNiuGNMANusAv7dXKCCREoDkhcujfXmn+wQkbJ/uAe4PqLsTPtyTc+8er3A+39UvUAGQPckUJznGOQBau++75wHv3c/ks8mAFyQnu972Bd3dO+TQsbzbN/Cg/1uOpV8QnX/5SPW++Y3Lex0zfHyoD/O47x13rvlhnEtewD7HFAdmj7f7SRLAziaD3jFJ05Ojbf9YetQFOh5Pd0kP+gQwoeMHoutTlAYCEQITYuYFDgFVu0Yt6787C716DOB+WHN8ZttffWLu40CCn3phlfd8qK+1Laa35JcBw89+jPMkvlk8tF6eqtWj5ypWest6vgzzdvm6eybN9T+A4WsqCvzkgd72cbHVP/PVS4q+diOxr+17vmxlhZ5HHZNtwviWH0nh8SP/xPERP0Ay4NnYRvGidcm0Yw1jlhvv5np/4gtXQoAkGMC95ZL07hLylEywOAH42w+aJC9v3Ipl6tF6xkkJh5iKzhHIfqn0LPAFY52iD3Bmy7+bOw1b/8wXt7w5sBp4i2mOBe2/lkuGtB0ges8FPR+vOUiMy5NYMs/600a7fjsp8z4/3sxsILPPDT7fAXQgqETQrd4j+dA8ss+eb9p75stJjx+mv8QUyReeWf3fPTnfS7I480mgH2Unc2rnBCzcCQF3wPwOnvucd5C/9L/+fHOD7xSAflfgAqJvL+j9LDceSXhpPCPh3vfuq767v8xVjBNj4XF8zimWGIeolzQPbYwwfgKkO3b1II3f3AuLXwLn9j0HoPu+gfPKTuCQ5Ck5ct/bYztzbGTG/uTMNyUDAK1Zksxz7JNfuvrCXbodgF596l8Y1o0VEjzmneIHfvRSLJnPn/8HVwKY5LBhZR8QH4tcnSjeNAaaz2Cfm4OZ10juApgrJY11LSSOVADrXZssQiSLk2en2CRBxL17T5rxjuDdwPsv5Y3qF1jfZ3X03ld/4oMOPMfCvoPOWNpd97v3ee/ymx0PfFZH7+iSwQHl3nklqW/1D0k6A+6fZ9hVluraZtp7T9/2a97V7/7nAPM+sb0vAP2wziUFWK4dXvM295t8+933vH4LPBf7CCjvXae2vLPY7evOPv9OjV9Pedrg6QNPH3j6wNMHnj7wznekDZ6GfW6upw88feDpA08f+KZ9oJe8u6QhFvqWPAswD0Cv9L0i232/7HrRFhzcTBXMGQC5l3Sejm0PvCYhh+Hesl60Mc0321xW/n65xxJvG8cH5G+gfwfNKgIc6qtgplQwhwITnQMv9bbbLHjMIAB6ZQPugHTMJkBZgTOAA+B8M9ExcrEsBpg72+/fE3T+2LsTWBBkKxBA1lGQDSC8AXSM6jtwDkjFsN6+iQCJAY3evAS7+l5wq4BWYEPrFWgq0LcZ3EDyS6r9x178oTG+BPu2zCpGL4ZpQb0Ck33GKA9UC2wr+AbQE9gMPKsUrBv2+t/7RyMFnwz0MEQ/+aW5buTmax8sfeD5/ftOQthS9KTnL6axAG3fD4hIVhWLF9uR/DDgBOsYcMfzETCDcX2x3A+rFMtIO24QfQMC9W9elALym7kuaFvfId+er+gf1evvwzzQ9eWA7EuB4VwzAVftsMHv7gXWANqytgO8jezyadPtla60TscExpMxJmc6Ad9zT9lmBw3fYpAfX8/Lr/xcZyDxWwzzIyHfcQB/3esAPXXgcT7gYezcJeEsSDxB4eMXyscTkzkpc+xbrHRJGVjR7gnS3vavPgK5/if1C3StH2K+Y9diyl7e5gd8J2O+veYHHH/zAn5j9gbqkviWDECyvXu1/wG3wz5f9zp5cJ7qjQckxSUddJ9f/rMn6QCYDpye8eAA9yMn/ndf5HeHkX0SCdgrALoHcO36Lml2Xubau/Wcc+vM2H3Y6TzaG8eA8SObfgCbYbwfcB4z3XmQEB+gjJ/6UV8YOeBTP9dFIlH/VfSDADcsvICD6jeAxQG0yd0GKJDArU1aXh37r32oi/u0fgQcJctbvSkeDIP7/W9IvQ/I/ne+MvuWCCVRRoIZdmD3XNtVh57zPV+ob0iymufAT3559isRx/PW+Bp4MjL+1BSSyD9y55KXSOZTWKje/df5bsUDcvdz3TC/VyLPJJu99+vXc2wA/DPOzPP7jAHjrXySgjrH7e+7mcIUPHaSQp/a3rota/99qgtAtXW6r41BJL4lBqoXZQ3zMYA6CWXPctttiWCsRaxECY8bWPF/34HR5gKSBqn9bMB6qwUByO9e3AAkoNYGs8xTN4gOkN4+69uWh32I5wH2Mosfc9LNLN/gGzB5s+Sxz803Hfe+fCsZ7bY1L6NsQjkAQIdtPLLQ57pRbanu2/PePuwbo34nA5jD83V3rhIE9mfrAM4D+shNbwD9O+kd/FrycO89W2ngSoY7VgmSDbqXB+R+88EFpHefAdL73zPVmN//PbM84/qNfd64CwRuHGn77vEZi5uLfOxnLtb5a8B5c9MNmu/S/7tvASmbx13WPwc43+o7246JSpLxmbpIz092FBJHyMp33Dt43mdtykO9cco9UmkOXft3DPN4c6LmZ7UJNSve5J7FFcoA5M63YojEzA1Mt+8NnlNbkeDc9e23RDKJE/0vibsxpGtSH5akLFEBw9s9we/cmOSdb3uIXyoRRylEciAFER7oG/y+De6FQQAAIABJREFUs7SByYG9QPQt464v2Pb+ji6RW0I7ufi7Gpx6G9uoXGwJ9z2GS0rdihzG/v2+vuMKmOWV4hAtM1Zgm29PdAD6h0m0b7b4a57nvRdTSug9mUz7D/+lv/ih8u+A+BKB7/LtT/zpiUE+feDpA08fePrA0wfe+Z5pg4+8Ak952uDpA08fePrAd3cfAGZtEL1M6nvGdiBsEu5Y6AB0oPn+vdnnAgkXs+MTL17dgopAb6D7h0nGAaoB5UBoL/J9x0QfhvwC0cnFC2B6QReAHA/28wIuOAnwJlkqQFBwYbPHC/wIAOzgg8ADH1Oeb86LL6jAhQAl9maBE8AIcESgky88dgxZeEF14J5AYNekYMCWdtxSjwW7MCg223wzjjfregPd9yC/IggLrAOuYUHzYue5vpMVrn0fAHOD51vKncyqgA1watifn38B1fhNklwGgBQAzDM9QK0S2F5Qrm1++Od+b9iDQF1Bd3XdyQYbON/LJGIIhF9S98cXFhsDK31A0QO+bk/SS6r8va/NsvrHsMdOYHODwVu+na93nyOzfRjDgqaAc+yjrrP+KKEBQ2kD7dhF5EILPJMr/FYA9M758ks8ErIC1ljNzts6AGTS66Tb9UUJJVtq/AKxF6ty2K5vPrgAhCuR4YAJ2OJ8SHeSCzAQqxIQhrktAF4bA7zIMw9YdpheVAgCRiU/YGnPdp/56sWSHRD8nIt1hwn6s791qRKMDcAB8AZIP23YOpixAHPS6O4N4Lrtt0e0EigvKQMz13W7QL0DmFMLuJI/3v0G6Ay0VLbUfL95rQY8sFvoHGN7B0gEBnXf/s2//08HiMDCxtImuc6Xm+QssNu62q3t+ZZjwGsXjEEBfvdX+wL4VpcBxw/DHGDiOgC+21/XG+DNIx7TT0ICkLZrJhmJVzuZd1L1fON7TpBsByT0Pyn8S27/sKjbFwuErfgQoABUaGyKeVd712bY5zxjARq+Bzb0HeALtB4f9SUdPUlLJ0kCmxErU1KIYwYCY2I3NrnHsPL6z3rVtzGqMcu9AljunAeIOG3U8e23NgTUSDZhQdCxan8y9JNU8vl/eFkiVGfXeu7nA6qPV/CS9JcUUxtUFxLqxhTs7+rW90nCOGN8dTU3GH/qn/2tS/XFOGF81L8B8117LPY9hgHwt4VGdWwZ6w8JQZeM+0kGM/Y1HyHfbn5S3fmRb8D5mv+d7YDme14IEL9YoIfpvZPPzM3Mqchb3+XFAUaA6g3iboa3uQVQeNsRAaaHxX1Ul0Z6/oD7+9luTkLOGnhkDroTN7HNN2gOgN5y25I6tyqSekoY2O0qMatzkngiWay+77rVvmw/+hwA7Mwf6kMATvZD5uGY+Ob5G9TXzvvc+n2/DgqAbICxf/ff/8//NACo5iBbyt17j3PYiQg7YUey3fhzHwC90rjVeNc91n1vvGn82oxqliGjHHRshIzZ7Y+KTPdS989m+AOmP4x5Tk3KJ/C8dx3nVf/btkvV0/i5EwipNZkLGMOA/CM5//f+0TXWAUSr55ZuB5z/C//9/97UYZ5tqbscpQ/zofpSde6TglRtrG+Sy2+8BKJr05ZNmx8rmsZGYxl7DAlFnhkSITzH8jLvvTblkkD4lvXsA553jYHX7vvadSeBYPpjn3v/9F7pvbh1Zlw4459kGwlLjccsAhq/Jf92/8378sfefUvOHAvdsT7M+3x/30xt49BO1NnqcN6n9/u58ZmiiPvlPh82XtvG2LHt0Ixl4ggjo/6DLwocb8mz/9CPXwx0APpbjPQb4/zua/5hALr1ts0A5T3Aeu0GTOd77lO5y7c/3ucffXzrKU8bPH3g6QNPH3j6wPf9Mdrg6TBPh3n6wNMHnj7w9IE/FoheMKkXwYJJ18vlD/34/28D6H0C0TcbfWfCe6H3ot33LZEpEAeY9jJ9MbNPcAEDfXuqb3C9/wVsvegXBCHp3noy/wVKd+DyCqD+pRdJTyyaHWziI451LYgqeCqosP0mBQoKHggsSxhQb0HJzWLFqAOeFCQCmAywd1hoZJ+xiAS4+aQWiMFO6ry2dHufdxn3AhJ3pvkGhjHSSbdv8HX7n2OlbnAOgItJ2zYFmwpYkETfXtybsb2l3DtXrKrKZqLXptoBA7Bj913QrbbhlVi7xlS8l5YD8DCWMWvItQPSP6y97kx08rBXssbyMeWbSu57+8+Op+SR1t3S7LUjZvpmVktcwNJ2XVybzUDfTH9tr03HI/Y/eNsn3TXYgdwJMh32eePHHzVg9GEAunPHWL3LuQ8wdpJGBoACih1WNiAXe2onIgAE6heth2EJ1BagbP+O7VM9hhl62rz7dcCtIw+KtUU1ARvzAuEPcxZ42f4A09vXuH436xw5b0kSznfA0JMUIDliM9ED6MiXkgLH3icL3jEF+Tuf7pMt4e57228WF6AOk5c3+HUO5zrs88RcFcjWPyeQfZIjAJUAdAkjjXmXhOlhZscaKwBfnTuXxsYC4eOVesDPzg3bunu9ZY0BrTuA7QHPB7h+8wIgV+/2A/AWjK/PkY8FbBtPKCJ0XoBTnuxtO2385kXqtv8aWySyAMIHzH/z8r1zBHI7D4AFAIOndnUOaOi769Q5Y61dShYn8aICQHUPYUzzUgewjUz+T3/lYubFQp9nU8lpn34BvUnfBqoDzS853SXfHhDQp3tCIlhFYlP13LL0nZM2JT0uAWrbcLhHyLTrf9Wl5ysAnQwxtYDaFtOaekPHbH8Dvrz7weyDvL37QrtWV+AYqf62x9Kc5If3f/NShNBvsP9JnEvaMAb13VgCtDd2kWyXCIOVCBx3f7WN/tzxeF1XLruPM55O0tU5FtCM4ktj22YdUwYxjgH8N4hO6aBtgMokxAHoxsudUCghsefkXfpXMgR5YHMqCXSOsRmUmxW9wWmA7R1Ap7TjOeh5bb55t/FRb8Cfc6yO/b7Uf378BVjqXOxzs9A3aL7rRgZ9s9DvctDbH31bDm0Afeapn/7KxaSWULa90IHm9Q9jNkBvS7pLBNsMf2D/lszfwDjZfOf5mv85P/o7gP7HScj7VpOHm4fs9x7XGgBoDuAZPffUmw/mebGL5J+xADrqI92LLEd4d5vPs7BguzGJLUchovGLlY42lMS5fc/vSbGWS+IMhHSvDHB+kifNKztHY7TxgeUPdZnq6nnUuOj5S/mncbX2UsfqcWef935Rm5VwJfmIJYf3isbr+i4v+Nq0Tz7z7Cd4yI9yzHlG9myl5mKuJJHROLXHvZZVl47R+17vjB2rZdjofbIjoZwiebvzrf92PfTl3mn2uLLvUQzufc9KgpbQQPVBssCw5L/0u1ciS23Dd70+uv2/vXtvAD3gdwPnles++1/8L6ee6lW92UF4F/fuvctOAm87CfDG8drIWMFSrOWUPKxn3963/4AM/ZJn3wD65Wd+wPWLWb5Y53ep9jtjPOB7f9/geZ+9G5NqxzwHnN/B8+IgG0B/5NufmOMTc3z6wNMHnj7w9IF3vmfb4COvwFOeNnj6wNMHnj7wvdEH7owMwaReZr0obgAdiL6BcxLsW9Z9S2MK8GEGAdqvwN9inl/Z9ssjDZDuBbyypduB1pjo2EC9bAuqAjG31+QOUAoEbpCTF1yBJ6zz1hGQEmy4QNAjayeIic0FIB/Jw4/9zASkA8sBbVvGuuWxHsjXYhUKOglOtP54xx5GWfssqKWulQI7AHTA+Waf76DbBn7v3ue84zdTfLNZALR9AhYAXbyBMdoKPBWwqF6b7Q7Ird6Y55jutQ8AWCGR2jV9K2HhACr8Jnk3VqcAo4Kcsc5joX/21//rKR/74j8ZJqtAXHUu2IYRWN/Y4PlrIPpuwy2Dv4P0+3wx3DC9Nqsf4662xQoU1MQ4JItfEHMnMfC0rHQ9aivnstv6DyQuHElb16Gy1+t/QVzs8z8OeG6s+dIXf/lf/DAAHaBdfUnLkhi1HMhOwh47XbBfsok22YoIXX8S+FuudJibBfzy2T37cUwAkzb1W9BzfMQPyGyfpNoxPfX/zYzCGCVhzVdb0gQgESvNMXhVUx7Yvp9z7x37hAGCV2Bc+7Uuv1Cgu/WxbgX2x4u74P5hOrdO61anncRB/cF1IJ+9z9/1cE3b9zCgP/7lb8iLH/l24x05286hexhw3D3c/QxUL4heQJyXuYSZkUM9jHKJA+0zIIOcPGl54HrHxkgmCc8LvuNL3FA/CRwds32MkkBJOG9+52Kik1tv3QHAD4MPK09bA14DCbS7BIDq0pjaeQwTuWMd0Lf/gCDDYCYhT4XiMJgBQe3bvTB1/9zXX54jn3mxCdmytlir9f1p8+PVy/+85COJCgClnkUY0CxHACGtGxiDZafv6GvjLV/9T9+iHgJIHqbeSXbo2QuIxx4sKN5zb8D1T3zhhYn/E78wbdu2M4aeZ2bbtXyOeRjpru2MAwdkr837X78Exu97r2vEb11f4rneOUjyAMADxC8m/bkvjFcXwH2SZzwLWs+YgDl6WV0cEK72p/yCNV8d2u/2UPe83BYY8yw9QHjPpeZAM5854/Qk/sUqPHOR6mIeY4zkxU3CfXub29531jota+4G4JXUBHjZvrsdw/79b46453MbuL0DuUBqCZNbLQn7EsMaeN0xeSCbjzZPa1nnz1rGXHCD21v6HNP8mhss8O0O7ksWNNfZzHlqSdijW4EIUGpeQCGgUv/ArKY2YM4xiZmpvBzgkWy++R72OfDNOW7QvHl3/23f+d3ufZe42mcS6gHof5oMzrsfuveezUCXdGDOIfEAwHuVA+QaS2ZsOs+hxoXGRuu1ztwvR3mma3Gp4/zEL1z2AbVb7fQa83yzzYHnvM6bY9ZPeg+rH5iXX2o8n/zgLYsY4P2VcHjmFpKOWMM0Zs842FzgqCV5H1K37X1ujt99bttRADmJcfUpc+LOo7o0FyfPPgzsz3zxUjBpW7YfQPTG152QZXxtnKYmZByh+FPbt5/um55trEqU3r0C1fvs2hhfGg+ME3drgp43OyEGQL1l0o1xW9VC8q+5pueQ8zHOSyRqffuVqL7l20dN7bCmKyW6VlglbL/wvm/LNfve7/Xe0ff7ud+N1YD1vrfsnli1k6Qkl1PxUPcS1DeAPgD5Acp9xzR/S679LP9mnuaY5FjnG0Cv/Ot/5l8ez/P66r/z5/6NWf/7/+1vgOh7mw2gIxHwP2/8+OOqcT3laYOnDzx94OkDTx94+sA73zVt8JFX4ClPGzx94OkDTx/43ukDvfRV7oyMXhB7UeyF9w6iY59vGXfBUC/IAnwCCGTVewkWlLxnuvOh24HMXXbGO1b3yOr92Ofe8kLfgVmZ+5sZ0Es4poYgKcYG1sZ4HZ/9FfAA2mJWCTALLrZ+9R8ZzeM7CSDHCBtWRbLjh4nOk2+kIX/2NyZwk6xggVnefkAI7LD2OwF9gC+W7gFdC0x1jgVOgOebhb79z8m3333Qt4T7W/7oPM+XHykAvcDbloUOuCrYNUzXA+J2bME1x97sc0ynLedOxl3gD4DeNZhA4195SXggR9uxeN9q3/FFPhLtlWEOHgZhyyv9xvgHIgi+dd15ngObX/OH3wkHuy3bBqMfKI3BhlHXMS5mPzD9sAGBm8NQPwzKLVEuYA40F0gHzAPEd3tvAH3X985SJ+M/feZ4nwsWfTsA9IvlteTTB1j+zBcvULz7QZD3CmgfhjUQG9gOsL4k7j/xhSsBAcC+mdECrYKZmOf7s/u1a0UK3z1/AU8//sKUdG9iZgIxMbQlQfBgrm4Cy6TbAXFbth6ravytjxf6MFAPwIZpC7S8mNHHD/zy//7kly6fcGzZAsqtA1Tt9yhafPIFxCcrz5sVu3krYwBmjQfq1W8e0L6Tiee5rk0Avx0fiA98xiKvdP8GZieBG1CNIeeeBl60fBJq3vvaJYVegJ69A1ldjEES7djd/Ue2lme4+y3AJHAB8xD7nCz6tOUBgSUFkPoGkGMyY763r5/8tf/qhY186t02selbZ5IWTl0xm4fx/v6L1y71DCACYLRS36TCsKX6q5v+2TVoPwD0AIWeP7HNAxW6rmTcG1OxKIHAsfhav/rwcw2kkGjQOhjlmIhT78OgBqbP+gdgBp5L1KgPkTEPyK+eHatjV6+e9Y1X3aueiWRyKTuMzcFJpnD/YpCPVP/7L4C47dSjY9aGwBp9uHUpOGDS93/fJ7nh9K2RUX//N6/kEl7ewGnPb0oOVESA+QDrUWY49yR5egD/VhzAVneeknMw3N2z5hL8nim+NMaZb/RsAkqR58VcB8xKFmR5w7v8AuGPKtFOetzqRFtOHpvRfAtozu98A1HN9YC1EtOwuYG6+3tzP8AW0Nzcb6skmRM61rbH6f+uRc+o+rjzcY6ApvZBnWgfczNVq5t5cQUYJ/lzA+kBTcD1Dc5jyY+c/bl2mORUbdyDnmmSE6mvsA/YjFL9YTPQt0y+85KcymPZeWwmde3euSoAsY8KQL/7oXvv2QmZ5hcSRfre2AfkNG83fnieUGvZQK9nWmNk60qGmTH6jFP6sDZq3hXArADRzd15b0vIkOAAnJXgKjlxJ90ad/QTz+LGhG1fUiHd3vuJdxH98A6ek27v/atzljRWe3T+U6+TjNE5tn1jWsfhA6/dKVAAyoHnle2Jzv+chUVjm7ndHlOG4f3mg5lPbqY5SX7vXJPgfJK0qRB1f7lnJSy4Tt0PfLp3Mo73XO/BxizJ4ljmW2XK86USiO9dl/e6BPTNPt8A+pZxD0Df8u3uy/axxz/v586DxHv1rR0kl28mugT3xkDv4rUTZTiFx/n2PAfQj6LbAdGdx/Y0v1joAPP77xvTHKC+v9+B88q/9a/9K//f3kMD0QPNAe59r2Cd38Hz6ur3eLMf9vmf5H3oKU8bPH3g6QNPH3j6wNMH3vmuaIOPvAJPedrg6QNPH3j6wPdeH7jLGgLQt4x7gXQAei+/Msfvcm+CpF62CyJ4ecdQ2XLu29uRL5rPzTLaoDrAvBf4zUYCmgPSgekCrV7Sq4PgKvlqgV8gOdb7MID+V5+9fg/A+bGfmWCK75cM6ZEiFbwREOIxy9O8QE6/MfdI32KhFzxReFsCrACLWGoDUv3EL0zglIyjwNaHybcHsANN74DvfbkAXYBqbQHIrpAQ38DYAOkH3MLobt3qRDKPB/sG5rGdgMoSFbCUtzf3ZsRvQJq8fW1c+2LM5t9cYLNgW+DCruME3Q6AVxnm7mEEThD6x14Y3DvRYIPn6vBh/wGhd0LCZqh3HiTtt2+6NiHFqq35ygPStxLA3n4zygH4G+yXPKI+O1Fin9MEa//8X/hnBbobI/647PNvBqBv7/H6OXbk9gce1YUDUgGUffJCJ01aO5B13n7xvNK7nt1nmJPABaxxAPgG6fkw3+XxAcZ9JzWvrpt9jdmKZSvpAaA1bOkD7FU/YN7c6wdcpVqxpdIFvfvt/ICa9g1UBbC2bDN7C3C7b6vnMJsPSN49wzcb+9p6GO78vY1rwDp+9SOn+u4HL4H8c38B/N1ztUlANOlYHt28zIHFgZOUJQLQgeaY2+MnfrzP+797fFjWn3/xqXUNLjn2T78whB0PM30UDs5+YuAV1MYUa5tAbR7YHWfUAo5ku3PENCZTjwnM/5tfNsbylnG/fF0/9/WpQ/9d1+C9rw1o4PoJuo+v9gFp9WP74Dt/WUCs66Df8+0GRvfZWP97//gfD9DQONB42nJJDny1yfN6jgFKMA6737Q92fd+jzTwUZPAsO5c/O8cedJTSOi+CNj/f/+zfzbHU6+euz1bGvvYomzlhtqcjDrrE0zzUUY490Z1AC7p1xIQal9JLpdiwkmGYBUyLNSzfNj1J9nNvYhhPiD1uY9J7EvMkUjVNpPwctrauABgmn54CqsFDPSxODiJNx23vuRYFcx0SUQzpzhgEZY5dqwx+gJUD+jfuCfhkDQxNZmL0XuW888F+vLStWwzGSkY1Y+oApkfYHibE9qf59mdKXovgLA7QN130u3bbkVCW589FyUWSPi0HtY9Zjh5ZGB682X12wCzOgGhNwi3wXbz1l03QD8A/VLuCQQ+7GYgsOecuYJ7H9Pab9ts8LCyWavm6+bUO1nhm8m3A9I3gI7F2bziT/Od5zX1rUtm+yQvAtNZXDRvH6uKL/3uBdx23173+3nG8zW33oyJsb5LqDnzUvfxTjTWD5qfA9C3YpSyWee+uw+6tvPsP4kSXdveI3iu9726zDxmPZ8aMxoTJK0BzxvnWKlcilAHPA+k3QB64Hl1n3H/l//L6/mJVd25erfo3AJ3a5+OZx0AumRBz0osdF7o+1nCPqSxzvgJRGef07XsWRTzvOcFFQE2ULVNpTr07NgAtvdHfbn6u1d5nGOfD9B7G1O6vt4tq4e562WtcMD/Yey//8Kip8ZRv7gkzm8AOk/2u2z7Bs83gG77PtXdO/xOjgH8A8EprBlvWZLtRHaWZPt93Tu7c6hIst8S7ndW/dWOAHPy7jefc+Xub76l1/fv2iXmeSA68LxPjP0783x7nr8Fwp9x60/6PvSUpw2ePvD0gacPPH3g6QPvfFe0wUdegac8bfD0gacPPH3ge68P9AKIkRHA9e/9h5/+b2SJ95KMfU7GnZRZL+e9UAK9vTBjmG9GOYAcOG6bOzPHcbfUu8AWAL3M+ArWNxB9A/kCpHd/TGD+ls4U6MCg2mA6f8v22zGxkbCmBFcnqH180bF4SDsXZOv/giOkBAXSMPf65F1aIIck/QAiJzhOIpK3ONly/ueAWvLtmxlCwr3AiiAcQHfYSz/48T8AnAOEgcEFsIeJe0BaHq0AnuqGiQ5sqz3avjoVYFOXroPkBAw2AXjMaezzDdj7Tx1cL+oBmCuAJCxd/soFqgoKBhAC+PhCD9ABgDqsWmyt2vcuPb/Z3Hf2PvB8S70D4TcDH5i9ExUuT/gji7tZfwN6LJAYmKutWp80/K7PZqG7LwTyuzecD6BgA+hbuv1PKlW4AXQBar6VAOvt+b2Zc+6l+smWdS/IeMmn51e+pdv5hR8JTyxsTPVhtp7+gbFLpn0CpyWmHFDhkik+UvmCs/0m432XXh6Q+FyjAtQC6eTWeR4PEH0kpAFs/dYe2/edXzop+D7Hs/swoDGx3ItAb4DkWyyzIzGOcT0KDO//9gUmS0wY2fRTX6D0nFsJPe//9gXed2xMWCAiEJSELHABMAgYNW4AJ6tvQfMA6tbpv5QiCqADrIH/MbeB+dWh4Dows09StM655aS19zlXX9cScA8k0SYDhp66Y54DKcl2j5T7Wedi2X/qVy7Wujo4RusBpClh1FZTvyMXP4kln/nqHLM+5NqT4teHBhw+/W88bN9/6V+SgTDPsc/df9o88JwUe8+fwPOe+f/SD/0nV4JGQf62aSw2xgOLAh46Jq9yzEMe4oH/nneSl7qmlCRat3WATVj8Xf9Jfvnl//JFjvfUrbnAgO6/9FszD+m5MmomP/6L094jhXvUIKrr9Lef+IVL8leSDOZi7SD5gw3ATrCqLhvY1/7uIyoGgHb3HKBKUstWp6lIljLGGJMw0KlBuHfaFtBimbGgY4/H8fHS3SC7uQhAHigucahCDnzGViz+I/E9VhcHFLf+PJ/OOLkTvy4Vl7MtcAUwg+UpYbFlnQ/WNvB5+5D7jRFtntmzDIi1weg/u3y3X5NwV1j+mKsCvDxHgf3bhx2gPwkHJ3nP3HCD/Hv+6RmvHuZYwPFrDnD8ife8dUu472PshEPtb84q2bL79vI1P+zja350Er+uJIpzzbBJgYFb7h54vpMVtvf8PUl1XweM9O8GAP2eONx7z/aqdg96hpqfS3xtLOy+9/wba4qjnGJuP4ksRy2k+7p+RL5dH3Oda6NL8ecVAB3z/J6oKcFhxpCT5Gfco67jvucRTo7duws1Ewz6SfY6CV4tl0yqntXt/o5R6fyyRep5SDFlS7/XZ5oHN1YHjNaG2YG0fmOZ8eYC0D/z1esZLsGqdT0r59l1xrxJ4jvvTJclxhnLO/+eE7HPe8YMAH8SvqgMXAkGZ+wDIG8Affdty7om7lcqa+6TrRbhnXGPt1R8JAGw76r0v+Nv0BnATJp9A+h9Dwy+g+cVCS8k5rfkvPHPuLUBdInorWf83QptAHTguvdvY3jPaczzzTrfn696oC/w/DX2+f4O6N5+5dvHvPUCziu1U7/zOyfd3u+9Psn2P8Bg//6/+t82VjzS7R993OopTxs8feDpA08fePrA932LbfB0oqcTPX3g6QNPH3j6wJ84oHQH0TeAXsCzz/Eh/4m/9RYL3Qs2lg1WUS/jpNL3S/gGzf3ennFAeMs65gbPMdD3J6/NzYTH0NkBvzuA7tjqu0F0AYArgHwCuHw8BVExo5TxiuMPenwoC5oIoGBJF7gZaffjSdh/w1R/88GVHDD+uYfhAtwRhMeMDczgA1pwLbD6HtjaHugFPDcr+g/zQAcIA3bJhJLJBgpuT2ZMVox1AHos9OpRHWpvzC0Mqrvneb+VzQDGOrYtAJiEqmskEHd52R4wjKR0QHp17RpYn0yu7VybAfh/8ONXe2y29mvA+t0v/TXJ/C2jbp87aUHiAtC5az5sqJ/9jUtWHDCinWoXzPZ7EXDtHnEub3m4L8n3rlHg+ZZu/1YC1htAlxgycs+H6QlQHY/ggpj/8a9eSgwC/wLQQAB+5XPvnz6pPay/kw74ymO7b29ghZxyQdmOBbzXvrU7sBiz9y2588P2JtPa74K+BW1HJv1zX7/WA3gDsgfYOgC5tiBL3nYkqcnBY5ANCH4A1+oOhO9cSWNjvArQdkxSrVjcgYSByo1DQMMBGk/9NpMZA732UK8N6FWHgt+8VoGUIy0tOeHdDy5p8QucPD7gA1K/9wKgC5STW6+OWNbVhcRr/wHRgRqdHyn1QHkBeazx9klSHSDdvgDePMrZKVTXsYA49QU6APKxpvvsvEnC80Afpt9hh5PYJ/3dfxIO2l/TwroIAAAgAElEQVQBdvvgtW6crV7V0/XG3gNw8rnFoK7uXc/Wcy0lONTPAxcChgIY+t2zufGg/+v39YnaDdDbdW9sAi617YxTJ7HLvdVn9ez8p18dBnjbdN4DoH/yg0vmXVIBYFtCAInbAP3qIMmk4zY3AaADkDrelmKn2FIdAPyjdnCeC9Wh/uGedf1d99QMav/qK0Fk6nASyFqv66xfAde1s/YwXkkAwkAHXALvyK2Tb2fR4JpK8nFu9fM+t6IB5RuKHnMfHuBU0g/Fjysp8GM/c7HBseKB/tR4huF/GIkXQL4A+JbbHii2JdwBLZfs+WEwApsGbDmgjOTGDaj73P7hG6TdLOgNSgOw9/xyg+lAIPLxkikx6CnCUAm4EgQO034ztu+y5825tpz7Hdi/F7LcGzj36fzvDPhRoTnPL9el/s3fvE/AHbsRc6VdRnnlYz/z1tx4J6bu+t8B8tf+61oE6F2S0wtAx+T8qN95gOibhW5uUHu5n7CXGycbD1veuMCWgjXLJHuV4HaeyxKFLn/uc81qX4oEd9/z7X9OOcpcuTmaxFGJN+aE6g2wHVD5jGPG50rrS2Cs3j07Pasmuey9l/OVpKGO9yTd5vZdU/NrY6vnkjHBfdlY3fOlBLhhlR/Lqis5+IxPtWkAO7CbfLsx1pyHmg9gGoPcdSPBH/uc33rnyO5CG3k3Yz3h/jJO6M87EWaz0Tfr3JhC0Yyqh2vj+dFn9ehcWX3Nu8iROd/S568B6PWPDaDv7/f3Xe/c9rVBcwk/ktgB38pOXpLEI9Hgrj4n8X3e0c85APL3PjfjfMu4A/8B5QB0HuV3Gfc7eG5ZsYqWBZa3bZ+bZW777X1Oge+Sa18A/yPd/sQYnxjj0weePvD0gacPvPPPTRt85BV4ytMGTx94+sDTB753WeivMTK239lmoveCOSzz5YNeIQsHnMa02bKPWw7yLlu5AXOs8+27NgD+p16CJBdwfkB04LrgZfXhb7n93QQ/BD183/6a9iFQYFnHIvvHB13wWNAV6E5qXSC8wJag5vihH0ZIAWaBy86BpCBZ9z6Tdh9P7wOgYDYKwmnPglsFp+7gOfn2AnHbP3HLtN+l3DeQLmgH2AZmk2cG6AQsFZgKeABU1kYAdCz06gHM1XbY6BtEJ0sOQAcuAYkFuKqb39QI7E+Am+Qw1gcgynkAQkmkXyB61255vwOZ1RHQre0EvoHiAGkS+9tL/e6hDtTe12InFlQPUpcXy/qwg3jYCvzv494B9Or32nFc+z/7Az96geffqlQh39G//Z997X9eoBpgQ6qSpClguO/D0vrkly6vWSCOoCgQqGCkgCf/YNdaIHak3Q+jHYgELAfwSU5oXTK3gqn7PwCYgPV1nHOfz74/+QKIVgCk2LYViQIYqoFspKALqAKUL/bokoLufhAYB+a2zZaOBUzv4/CCJykPHMQwuyTMP/f1i1WHCX1JVr95YdZKFJA4M7Ls555xDYF6pLH5Me97jsT2sHTP9lhv5OsL6ms74DiQuuWB64GeEgxGmvvN70whb76D+dv/PcAR0A5kHxD0/ReJcexBTGpjXXVQb/vESm8/GO7DXD7jSN7tpN7J5Vfn2OjDBv/MVy8WngSk6sWGAsjP013QHbAsoQOjlFKBMYwqSOtJVtkWB7xhAysCGepT9bXA6v7vE+gMhOEr3v1IFnczBzHft5d9bUspIfBJO3culbmOb16UBEgg699YiD3zOgdAe7K8Bbt7zlFJmf596jbt/bmvX0zRaZsY/T/9ch22rYF70T3betj6lxz7J7809dM/22Z7zEs26XpLhmn8MM5g/gOteZwDrgHrriGv+eopEUXiDDsLfYFdgPsNw7J23wodkpTujEhJafuZiS3f8s3IZmEjibACUAeOY9ZvuXYA9WY6Ascr5n7mNp7x/t+grvncZkS/VoDm1tnbSDxsHWASC5lLiv4kN0jIUjdzPb89g80dJWVu9rY5556HbiUk9dnbmFNI8DTvoLrjukn2mjoesJ/POTWVGROOVLt7qXPrOTtz0L/9klRhXma+oOx5c225ExXuy14rgWGVjxpA987zGojOUkDiicS2xgvguZIaBnZ091n3FgWM7kP+3j132b3Yp/6/VQlqu8Dy1+Tbt93PWCoty58rqfXYeezE0calxjHz3Ooy9imf/rXLYqNn0f/ul/+rGacbuxrHSKCzrVKv/Y5RUmxgumcadRFjuuSS6t25sXOqX3VMyX685iUGs8eZZ8uXfnf2NdYqB0zH2K6Yp7cPnu8SBUdR5W//6lsAettcnufnuMbEfreN94jNQN/JNywJjC9byWKzz9sPVbK5PufdsONh/ksA3GMyBnjPtjsTHdiMcb4l3FvWdQKg91m7b4l0kunqabki4b3/jceSaIDoLMtIum8A/S7drs4bMN/Aud/qe2ec39nmd/l2AHqAuWXAcwz0QPLNXr//fm0/Wz4/mwfj1eN7/tHHrJ7ytMHTB54+8PSBpw9837fYBk8nejrR0weePvD0gacPfFtAdCz0Si+T2Odbyv2eoU56ve93gHoHHlrnLqVJRnx7nW8PNdnsCtB8f/fiLrjaMoGPnfG+gXvBEUA7EBZjSnCUPDt2OZBbUBUwLvB8eYYuCVRBc/sTpMS8Gmb38f5s34Hm+b32WaCHRG6Br4Aj/qWkNgvk8D+/yysC0LFZXgPRNwt9A+gFvgSUh6F7PLl5QAO/qlfBN4ACoK+6FXADoBc8qy4jfQiMP3LlJNoFCQHHF1B8AmsC1VvaHZAu2C6ID1S95L7/41+9gomTDHEkwWOjX0zgAzwJSjouj+t9PPUNZMKOvJ/PZpVb/+6VvgF00u4SF7RHBTtZMoHz222nbAC9T4kGru9mqm8AHXhOXvVb9fm7A+ik2IF5PIkHJLx5ow9jKybpYeYAoUgMz75O4BErdlsoaJ/L9mB5pF9A4wH+XFsB6fZDatnv1pUcckmqHysATF+sZExUAN2AnQeUJgMu6eQuvQ6IDfwrEIxJ2LajcHFAve3F/FZdD7NZvYDete8ww45vOLYcb/G+dw6BteMfnqf3e1+bMYcUOzYb73NAXm3T/tq//gnArC0uOf3PfPXFT/3NS6B/AIXkbw8zG/CKuY8Rbj/VTdJO2/3Fz/721GFk33/u9wbw/z9+5f9++ZxffvJf/L/Of4L8WHfYu+O5ekBeoHrng3Hcucea20x0YKvr6zpWxy2/7bpfMvbnXIDyvMm7zhj2QF0gee1U3Uet5JwDyX3A/IDuByg1VgDQgfOSMxpfu04F8f8v/4//zyVx22+M8sZF227Pb32z721Te7NI2F73W+WgQhq/c+KrXht3rdhsbK9hwFPHqL4BVsnNN7a3ffsp6N5zrf9rB4lSOzGn0vjBMsF6WJfUBy4/8fdf5PZHbeHcL5Ii+m/6x7mm7kXb3RnoZIx5sZsHAOnML0bN5lhQeFa5XhLxeLpjtvb96udnvKq9gFfmE+0LsCp5ybgJxJ56nkRAjHReygBxoL85jjkSELk29vy91jkgmuPspESJiYDa5mSbaQ40JtluHezOnYC5vbd7fu7f21N8S5E7zvb4xuzdLPvOi5/75Qd/AGaM4s1CJwW/FZA2A33X585ifU1q/m4z1LO+T+0ukbO2pKazVQ48A3tGUnTZ8u0UXfRPrGHHkwhLDnonLGzZfCDwXuYTeF7ZgNRHAaC/ljjsvcf8fIPo5gkBr2TcFWBuY9Qw0g/Q3vjY/83dG8fatk9zOdd4y+EHflYkvJJv30mXbTv+2Ueifa4fC5wlCd5xJeVtG5gK5R+KGqxPyKOPcs2nfmXGVPWrLpt93ly+0jmMlPpJLBoP9aM2Ajyv/tjrbdu40rPas2TGstPeW6GodvXcaKzHRAeEew+jzCRZofqYY/YfdZU+x+YiIP7NyzU1Hvq+AWNjTW1wZ0rzoK9t9n3h3VVSjffA6rn7Ae954ze1qy2fvuXbfQ7o/Jd/5C0Jd17ed//zPQZe8ujHe7x6bgB7H2+/e2uDu4LIfl/XXuoOoKf8hv2uDm8xu7+J7/lr0u3fTLbd5wbTPww034z2yACVvW/bGqu+Xe9DT3na4OkDTx94+sDTB54+8M5H3gYfeQWe8rTB0weePvD0ge/dPtBLYV7F30zK/e6H7qVzM9B991IORL/LZSqAwv4n325dL/L+A5b7PoD2knW3HOAuQPBnf+BH38q430FXzChBWoFKcuACVXwwMQo6rqBqAaL+L2BVUEaWvgCrYCtQt2XY8wLOzu1//9NfuhjoE5zji3eWDQB4PJYnKPqxn7pYwx/mf94yALqACqB8e5+TOd2s6A3IXoD1YYMrQBMAEWAXoLsZ6Fjo1aX/gPGYv5jnfa8eZLMxxbFXsYvJljuW6wcIEPQGHmC5X9K0x7O64OIwU//OC7ACIHVuQFPLRxL8eIZvyXmAviC15VuafrPWfe5A9R1sr1y+sieRQFts70tB9Q2gbw/2lmET7Wu9mfDbm/RblW43rgDQ/7c/9Ws/vwH0gpjbP1u/BlRP0Bdb/Uh01gauA5BcMolkB8CQBAigAUnsruUAVZ98SYjARMcQA4jYr2NinmNoS6rAPAWkt/8tt+wcC1Dz3O4/jC3eyYBW30fG+/3fvgDkAZ4Dvpd0KTBQwLlz5/tsG3Li2GlY7WTLRxL6gPfqzKdcfe/3Nwn8SeY5EvmdP8AZcA9UnGv8E79wgREY+EBCn50DVnJtg0nOW5onNeB6ZMnf+9qsE4Aei64AO/A9YHdAgfd+ff6vPSsC9wX9yamPTUaytbEJP//Cwmv5+N0ewF8yBEBfu/S7/bY/CRJY3/y8J2HgE194a7zsf366gFdqALUtEN+1tE7HKvECgKov91vCkWV81GvDftcPtf8G0GOgB6LHwAuo7nnTPjpOdex51Lr9dv4AdMz1C8h572tTx67LZ3/9v77kfS/2/wF5J+Hic1+f7x2Pd/CW2u8atrx7Fmiln3TcnvGBTY1/2gfbfOwSjkoKv3i2ApjqHYuvvHp2/cn3A8O1PzuV7XfOdqBzdkyJZMBLyTz7WdT3+yc/4LZ1z0nakHTC81xiB5WEtsMqnUSYT//aXAPJNQNcn+fnllcGuFYmCendD15Avtr0yM77xFImYw708nsnCHoOS0zcPudAZgA2Buf+n3T4TsIEpm8gfAORd/D2Nf/uO4it2Pf28DVHrACXybtLlAOqS1LrubGPB7jfzPkNlu856STn/cCPvgXotw6AXntS2el6ALckQnTdAemuj2slkcrctu/NL9uX9beCgLruOfxdcl5Cpvklhu6dqQsku4NSH9U7T+X+zrNBdEx9dj61U+POALi/9FszLmGhDxP9l37rUo6gItI2OyFwJ1roA+TRt+d5QHrL7wmYFVYcjUV7rO84HU/dJN9ciaFnftMYT5HFWN2zi3z72Lx8+isXgI59vt8vAs+7np03RZcZAw8g3Vi0EzMbo3sX6J2kdmmbjiOpyryP9QBFDW3bd2NzYxrZ9/YhWcDzkiWOeTMGOuB8nqfHK55C0VYzS/3IvUjevHfIPbawJmC5oI9L5qakcb1H/tQ36iiZzfnVFp0v66E7gxsbfcDmI2v+GoAuAWNbJqgX8N9Yixkumdx53pPXqYVIdpIs779tV3EH5Xdy0Gac35MCLsn2PwQ8r9zB8y25vqXbN+D+mvT73j/pdse3v8apu3T7Rx2recrTBk8fePrA0weePvD0gXe+5TZ4GvG5kZ4+8PSBpw88feDb5g34Y5/91b8moARAJ+W+vdD5nG0G+manCzoIwrWsbe4v3QKLe9nOhLcMcH4FaT/+UjcBiy0Bv73rvKwPMH4k6B1ry+4BYS+mz5HW7DgTRDlBYoyjzTYu8NKxN7OpoOY9eaD9tl5geYGfgllY5tgq25ew4ErBrAJDBcW6Dpiy7Ys04ocB6Fu+vbbYHuh3EH37cm8wt88Y1kD0ygbQAWCYlAWCape2uwPoZB9HWnB5m7evu/d5x+wTe8ox24a0++VffdpjAo0nMWOz5C5P1gNEA8MxdwBoQCgylwJt6giAVVwL9QFadezq7BwA4htMlzCA5a+tre/79ufmO13dAOmtU13qczsJAng+rPaOdyTkN4iP3TQBwX/33//Pv13g+R5T7gA672TBU4FeTGABYkHHi5l0ZNOvto/VfILTrpGg6faIt90ltb7aU9m+wMCuiyWab/EBCLFi+XWP3PkB4niPj+/2AaGx0gpMdy9j3Le8e3yWHTAWmD6B1gN0k0/HQh0p0y/97gUIAoBJ4Ouvl4T1CbJX7E/b8hMlPX+xlA/Art4FnBunOjdgPWY7uXAMar7pAGjMaHWTiKB9JCPYb30Cy3w8xN9/AfI71lXHw+LmlU423ZgpQB9jvAB1/2HHYbsHFgAbOwaJeKz3UQF479dnn1jbwwA/cr7Vo/tPksCWjLeO7bQXSX3S+CP3e8B8/txUPFyb2mJ8jA+I2v9/8+//01nWMQLQALVbEYFyQCzytp2EjfdfgHMJE/0XqBCrOwC9c6+/t4ykbW3YedXnajOM8wCJ2pOccdu6/pIv2hYzEPA0nrd/9x9OskNt0z6BT4Hj/earDjznVSuBrfNxXMoqGPUDbrtW3b9HEn+SIE7SCeB57rsjfczyoLrwAgbadJ6dT9uQmm8ZcF2fKjlBIsO2eiBr33/tszGq8Xc/k/jDS+4iN9+15Fsv2aTzqF6t0/lO+xyWae0DdJeshHHKw/vONgaMd4/zzLYucLz16j+8bwHslHRYsmxWuiQviYRb5tc+zLcA5ntuJiFy+5bz2G0+t8FnQORrnuI7QfCevGmeJ8FsF8dWp+Ze5nsXw/Qw77WBOUfHxEbfdQCsb09254GJr65bZt7cdCcMDuB25sMDoJ/EhepD+WgD48ai+rjlnmeARB7gFfP0LeG+Geh3z/kt3275XvbdBKAD0b3zbBb6BtHdm7VR90fzdtZKjVEB6I1D7snuo9pRQu2MyZ/80tVP6juSRirb+5w61AY9AbmSWbpu3feN7ca2xg2JMjMOvPvB9b+kS3PGxnWJREDvbEYknlHOaJvujeqx2ePA84DbxpXGePYlWOLmYOawzUEbo5v3907SOo3t2PJse6hVsBPAOJdUhYne8STXdS5dC4zyxihzDUkFLEPaxtyz9Rpv5jgngaRrNPfCX3/vLVl244vkEeC16wQc7n8S++b0VD+qR8ceSfeT+FadWG1Q8ukdFvgMbN5MdOzpDZ77jnl+L/blnVySe3W2b4nqW6p925R1P7T9BtipjUgIMUZsxbfXPM/fKjew/DUJ9zuADjS/+55vQP3OWv9m3zfrHAt+PNAPeP5RKmU85WmDpw88feDpA08fePrAO9/2Nnga9bmxnj7w9IGnDzx94DsWUCKZvgF0DPRhfp/vyvYd5zF5l3bHMpcNL6DkxXtnuTu+F3xZ8VvK3Yt9dRT4BBhuppJtgfK+V8grYhcJglYXAV8BnoKpAsYts49hKPyVd7/BZD9tJCBBcpPHM1YLKciCcAW1CshjdmA5CvwAWKsfdggAHYjuOylIAToA+pZt3/7bW+Z7+2S/JZt+WNBYjCSbr+8f//LFIgegF3QDolev6oH9Bvy8A5wbTCf5jv3tmKS7N+iMCbbl3AHcgnsdR0ARUArEHRDjBD4BLlv6ezNXgDsSC0iBA+dJxnd8wXfMaCCu5RjS1u1zWFDLexhoiVENABLwBAZs7/OKBAP/bwC9oG3S7d9u8PzOQP+h/8Pn/2+8NwsaFtDkg4ltPsHdw2h2Dfy/+8qWO8a24wXdstrJ9QK4b/YzYMh+MNGBDQD1AR2O3D9AFOAA4CK1DPzEhALkdv+S66xgrGJXY7Ty0h5P7899fcC6mNPA6tpt+3uPV/cB6zsGBvrIrB8Q60pQOEAcIBCIDoBXf+fcOFO9CsR3HnzHN4N9vMA/9/Xr/sB0A+Be1/KoPQhq8wDdx8R+d1wy59jf7kNM6gBYHu6BzAOKf/H3p20KTAdmCpxjtPM177+RTv/kl+ac2oaUOL9VQXgAZQWbHoB/Xftz/bAOR02gczsB/QCW9ofZHnjecV1zbe66bADdvrH6257su+NcHvQkaQ9gH0Dedn2y2pDwpH177sRAH2nbI4vbuDlMwPdfWN6VwKLaMsAEu7/lvpM2D5BwXnxqaxfSuxWe9uSEJ/Hh5//BrFMbkZEfRucBrzqvnvPtixdxywMBAmgkGvE7B7x3H5M7v9rzJEbUltNGH//yAOa1S+uSxydvTFmAF/qwP8/9aRkLgrYf4HnJ8htLqkPts59HxjDPE8+g9mu81/epC/Cjp8YguYcXMAZ+pTlKfXAsF46se8dpHVLtJIb7XttjyPvPMxPb2f9b1pw3Lmb5loMn4W7Ohp0p0RDTcyc/Amg2YG6uuOd3Xf8N5PouYXAzve8gNpALG9ixNiDkNyCpdtrr8niXdKC9sNTvABzroLt8OxWkDe6zGNrJnDvZrvmOxITN/tefKAfMdT/JXcZ9/WP60lEkGJWCo5zT571Ou+02yx9QjjVt+Wag95389Fa6+aiBqeYnqW/dpdzvILr5+iQWfepFceqzP//LA94GojcmAX3ZgfRf3yWo1Mb1m91+e26u7bQjH2rJcJ6Tkjkl4klQqsxYcBJ2JMtQiVEHKijGtsbtSSB786K+xHoIE/6enNscvj7XmMmeY8b8M0+YBKKTWLoB9LYN/MUuH7n3k9hF7UfCAj95x6Aq45kziUyf+/qVXAwQ7zNAvmOwriCTbt5UPbuGXV8KYxQz9hjjfiNFrq/XJvq167STe0ieexZT3+m4FclkzeVYlYyyx2J4b7b2lm8HnlfqN1u2fQPo/NDv/ufbeq3lWOMS1t3rFNe8W+/3ZOOx/6l0tC2Q3fF2PCBQ2nkBqTejvvoC0IHb998bON/At++k2O+g+10C3nH3tq/5nnsneqTbnxjjE2N8+sDTB54+8PSBd/65aYOPvAJPedrg6QNPH3j6wD8ffYC0oYBSoBc/dKzzvmOfbyn3u5caltAObv7Z4xln3Q1s72DjDpgCyrek3B3U37Jz20vdPgGqGOgdE0ucd53se97kPDCB9AWWCiz0u4DalvjcARfBV1n9F9D/N37xLeC9QA9PvAI7BYtiF1YKoAf0tKxAERANsCyoKsAVE+EOnrdsA+cCnXcA/V4Em7d8pGA5gLkAHjlrYM+AM0deHeDe8e8AOi/0jiMYPwBT3onvfnAFh2ujLWMOYNgseKxj61EFIM2P/baD/WRwL5/Qwz7Ech1g5q//8rDHJQUAczHgBZ0v1u0JcF4exO++gPtAD4Fs8uSX/G8JAYeJ336cm31ccsAHrLuY8QH+B1QTuMdMw0AHnmPXCcZj6d/B84LZ326ZwtcY6AKePLOxggBBgFisHMt51mN5+tQeF5P8BCxJ3G+1AYkSvIn5DTsGP2+sdf19qxUA5IDSAH8JJZhhWGm8RbFZJcgU0AWoB5RjMg/r+QDVWM0VQOtmVAPBWybRoPMjyVzbkgh9SxK8pJHTptjS5KeHVf3erw/QS2q0sWgA4Nrmva/N985/gOADFgO8sd3bTvBfsoc6qEcF4177DngZgHjA346HnQ0gqI06J6xgxwuwra1aFijQetjTpMx5WGtfwfyC2R0H+5xce+eHEU9q3/hM6rt+B0CuXtWzcYSPa/290jFq10rtXiIA1joGIJC9+gYW7PHVcm1Q8gDwVDJI9amebCUqEpyoGZCMDahOuh2AjVHW9eq4tSEQnW85D/NAgJjrfM0nUeH9l/ZrW0B3dem7xIYBm2vD066YhoBtUvo9H9tfYFX1iynfd0B8dQ9ACKCZ5Kozrtauw5b+xAsbeyT0l5xxxxg24kkmIQ1s7Kl++rC+RFFhA+a2dVxJCvV595KxXLIOtZCRx+4Z94kvXGA6lQHXu3q3jMx8/9WP+bZj0VPsqB6108h1nz5BuhmoTqmi9uDPCyg3jmK6kpa/LEQOiLwl282ZWofk+k42lDQIQG8e1Xyr5zNQGVMbWAOgMX9rXTY8/gN2YGo3rwRIA9BJj28m95Yjb9lOftwS8j0nN4AkqcTcrt9bPr1rKUnSstYjk7x93AH6wH6g6vZKr2yWPGBrJwtuhqjvl2LKT375RYobs/xYkQy4fsbjbQFC/l/f5K9+l5/XbuaKW9ZaAZ77VGqLAKvvJgD9NT/0mKcsrACEkky65n02NjWXj5EeUN7YdMmE/+w35jR9kgfXt7QZyW1zdFZLfrsnZi54xv+xTTmWEpJyxp7lJNJRyGAb4Z6m2MPawjPcHOR/8/n/Ysa6+o7k10BvZbPPq7N5BVuOUas5CZDY3HcGett230qs4mU+40lJR+++MMH7Ldmr8a51Gq+3/zn1IvMBDPsNUmOgez51bXou2K57YluBud7eCyVBA6+NKxIdJOnsRJ9RgTpqAfWR+ou5aW1DeUgb6C+1uzrs8W2D0Nv7HOscgN7nlm/3uQFrAPedEa6fSWSXeExVbcvYb8DcuGDM3kD93j/wfPuwY59vEH1/vgaC38Hz/R3zHDh+l2zfAPz+7y32+QH1G58e6faPPhb1lKcNnj7w9IGnDzx94Pu+Q23wdK6ncz194OkDTx94+sC3tQ985f/05T9zZ2X0Mg1Ix0L32UsyMN1LMx/0LbNJmnB7om0pdUHQ/WK+WeiCFJuVvlno6iIIYb9kLu2vgOMGWP3vO6ZRYCPAXIAUY0nA1feKgLMgKslGQRpBOKwUDISCKkAqwBJZxGGGxOr89Fcu9pqAaoEToDkvvA2gF1QBoG+5bgxlIHrLBLp4WioY0oBewPVdwhZwWCBLEK5gYIGzDaDzQictXnAPO6b9C7xjsAC/Md8xcPitA7TvYDp/8S1/KjDc9ZlA8QlCYpwGQBRkGybgYUU7lmOQxu6za8ePFgCjAPu3NLn1tzf1xcA/jPqOx2tY0BT7F/iI4ThA8/Gu3eD5ZqA7/+332qMQ5DQAACAASURBVHUtUJRs+3fS44/P6AbQyXJj/GJ9kh4WFA7kwbLuXEkPj5T4ArmB4a7ZBhJIubt2mHftk2IAEB3QMIkOB2QAwFMBwIjt+gfuDsBW4sfxKMcKBXJvT2WB0+6Vlg+w+vkX7+QffPMSyJZEw/f68i1/79cvyWYgKMZ6n/ocCXdyvRIWAM5956tOzp0MLPb4yNIfWfRYd/P/575+AQIC5aTjJUJICsGkBo5fKg5Y8Fjv5/iTZEC++vhM20f9nuQ65jswYZad5IHasLYchvKXfneA39jSANESFGrjtpkEiAOCFpSvjgDZSe4416v19FMABfCc6gBZcGDs5Wd/mOESo3ZSxZZu77hdG/2HR/mc95vfmG37vsGTwI6O2X9Y58ZB90Hrb9uLnfDkXmpZ5xwD/T/7+v9rzrGAfoB67dA+arfqh/lHrn0z6Dagwd9cUhJ2pHatv0oqYUNgDADAY/y3Xc8F7PPf+8f/+JJQrj597znXONdYXttOssm5LiNbfa6X5IyWYZdbT//X76976fQRCS/AbXLw/XYftd/aqTbf11/iAjsJ0ukVoCwAnXwyX2PPGZ7AHbv+IcFDktHum54x1f1KlDmlbciyT0LaYaZ6zmFRe0565k49z7g4gPgCWbGtsdBnrvU3fvHy67ZPQDCQfXuDYzlTF5J8uZnnm/0I2JKAaW65FY7ugPoud0sd29kvAAk4vRMAgOtk3LWBpL1+SxDoGat+6qpu2NwUkiREbun2LZ0OTN/WQRLAmlPua9JvYCJ5+cvn/gCH+gTJa9fX+bTdnjOou9+dg6TYzc7doPn3CoBeiYX+mh/6Tsb1HgJE9O7ROFRpTApIj5HeuDrJYm8+GCB1rtFNkQCIzoaCWpT5N9sodg6UbIwJwHHzDgl8W8XJuCOhRiJOY1TPyMaIsbh472vz2XtKfYAve3VKdh14HshPWafxrmesOs1+jve4ZM7Oo/eK9tH2tR3VEmA4uyOJIdRERl5+WXy0HdlzjPuKc7sSLk/yoGej5K7+9841bP2zXnWqr/u+E7olwVT0eW3Tb+MFKwoe9V1z1j9A/fGoP/MvZebyMe5/8svTl+4g9wbTAeOA8/rOBtB9B6Tvd2xJAHu/xiTscuOWJHTr9H0zz/d7eevb7wbMt1/7JdW+AfabPPtb660S434D3a8x0P3e3uevgeeb9b4B/F02eE66/WGff/Tj81OeNnj6wNMHnj7w9IHvewD0pxM8A8HTB54+8PSB79Y+QMr9NSb6BtFJuHvRv7Llj/95L9fb71FwkMT7DmrKgLfO/YVd0EpwQyCL9J0Xf0GPXsqB8YIim9VE3luAdHtfCoiQFwW6W3/k5o/39d3bsvWwgASQyRQWUOGPWJCFdPDFPD3Bcp5/BV7aFrMTcw0LqKBJIELBqYJcQHQBlYqADxC90nce2ffv1gt8JbO6vb4xcklIbm/lza5r+4I5gm9AdN8LFhZkG3b1Af4AoLVxx8ZGB6p3fAwSLO22rz7qepdyF3gWABf4JsGORc5TlHQ71ugFoh9wY4C1pHkPSLR9JrEcAYCY7RiJQLnxwj5BT57JJIX75P1YgDMm4g//3O9dst/t4wJej0Ro5y5B4g6gk5P9w8Dz70SgqH2WjEPCXZthYPOxxKqdYPAB0IFB5DjJtHctupdGSv3TX7kCxVQCsCeB5QVn3wLZl4qCZcPaPoBzQMLlFX2OCXQvAAvwVV+AbNcIWAcwxzyXEFMJlATktn6/xwc7OdOYsG9+563klECzSx7+zW/OtsA88qtA8c3gHwbiYRiqg2SFjsMegk812ejLKuBIfG9G9twrP/kNJi9QuP1QRMBo777B2G5fWGb7XiDLDgTUppuFjuk7gOeRd8fgrvzFz76A5wXzScfXJqTOMe5I5/OL3klLmNWBs8Ps/vSvXUkOGGxY/+7V9jsgxgFaAZ6Y+GTCMcwliWDvdV7kaPtvJL/ff/GA7/uwm4+XOTDceQBU9X8y+Zv9LCGHz3zLGl/0tcbSwJ4A9ICf6hKbMqC6ZxPAnnw7wKNPINFIrS+pduCOa03NgBoDwINNQL893/h6dw71yZGV/6UXienG7eoWwNMx+x5o1TO+51Zjffeq56dxZu7Bk6A2ChYlQp37s+PUj/Sv6gz0lxSx7z92BdNXT8JYtgEjiX+sKCRbsR2wX/YjM1c5yTkS8jAWAVzY5Z43Y8/wUy/KF/qY742D9U2AvfUAbJfyBkuSA3BhpALOqe7waq6eAFUqMbP8SFoD2T17mh9hbd49wanybGanZ5G51QbRzfk2I9v36oWdbdl4hP/Aj77lz10x77yD6XdP9Q2eW8ZTnG+1NpIUuZMDauP6H5B9+4ZvcByQbg622fF73gvU739zUPMx7Q7oHhC9Oevf+OXLkx6ATmFH3+rZRb59lr/7YiEkcVGCJkUBdj7qow3NPTFxtwd9vz8MPAdYfTcC6JXNQn9Lyn2pbPncCR4SbBuP+KI3njZ2dQ36r2tS3yAHbk5+B8/NvyWgmNd0DzdWNiZ2Hb0XGIskl5mvuN71E0mfM+86z67G/9RPsMiNC+6DDZ5Xesdo7t57G/BcMpSksUncWWNM90TnaR+9B9QO25qKEgorLPdWdWZjhYGOse2Zgb1tzu39w5yuPt3xenaZo0mS3Upg3g+8+205ciD0vmYSRfZ9i4XOlmoncnaPsdHoum1WPe96Eu73JPQt307qfL/bbQDdvea7uvedLPwG1LHSncNmkhuT97uzBCdgOtb6hzHPdx2A7OIDl9f5AbIDyu8+6Ja9BpwDvItBbAb6h7HPP9RnfYHqwPPGJuD5dyKp+ClPGzx94OkDTx94+sDTB975SNvguQDPTfj0gacPPH3g6QPfMVZGL5N3Fnol+fQdWJoX2PUC7WVdQFNgYAcX74E5QQkv/DzEL/bHx96dF/gt465sOXVAunpsudACJlteXeATQ6R9dPzNSAciYxqp45Ztx07nkx4IIQBNohrrof/Gi+9v/+oEUfigk58dkPSAtwVgBKULyAzb+LAhtvc5EL3vBR8EU6y7WeWBq0BzzPPKXc79Yn//2IscsEDrlssF7gOSybfzUQSgbyl3de26dIztg76BdEyvi5V+pM5JkQ6j6ngdjprAAvCpCwAqtpwsphZWdNcEc2eAiJ/88sVKx3gnz31JZR9gCoMZMxhIc8noHvlfrFu/Bf0EQEk0Y95g4gbgBKr2WV8RfBxA7dNfuUAM3uddzw2gY5K5phs8797+TgaJAOg/9tlf/WsB6LV1gOx4Uf7dfzhBRHKd2oaPOMl2SQoDhB+QqWs1AeJz7XmfA4YA6PoHCX2S1qTEJ4h6Eh9aF5va9bsYekfmXQGYuWYjrf3mRXodaNr5dc1c94998Z9cvzFbA0snEeIzX708QQOEByD+3NcH8MRYx+Cub2CmCzJjNFUvAHrjCzYriXPsLf0S4DtB99P2tRtp9g38b4Z9x6htHE8QXaCe1y4QEYNXILvlmMfYsVe9Y2cvSXnrbzC+//Sj2sx390y/AzMC0TuXkhQCDFxfEtwA+4DQ9sNeANi9Ew+Aq44jcYCv6r6nsaGHpd51Clg+16zzAzyQaTeO9h85f97ud09sx+HHbdwiy2wslvgBiGUFsRUyAsNjnPNBb1wswat7a7P/AOfalUf5tPHP/4ML1JDcRC6YJzm5fPd6zzSsdEoenadkptozkLxCirrneuMyAL1j9vzrGTMS1gdkah8j0c5C4c1Lkggp9M5dgoS+cvXfT/3Ki1rBYXwCziWIzb13GN6UITrvYXf/2Ofm3Maz/uNffgHgj2fxZn4PEHu8pqv39Vw9CV0sIuYaHjWM6ts12coG/Z77VwLWSSAAmLJPkGhBBcU9Z8zczPM+gbAjcZyKxwG1LkbzAdD5f5sbSWosyUECHACdhY452AaUN4BuDralzs0L7R+A7j+M6NcA8w3uviaT3rFJpAOEMErN/SQKSCLQHqNycv7Hsle/Cv/k9l2dzFu3F/tWX9rFOW5Z+a2iMwmAR3qd77l6do9Uz/plv9nV1H8lceo7+px71XzPnBbzneKR66KdtzWTssHzt2Sk//KPjLfwdyuATi1nS7lX3+2tvD2kN8DZu0SgbGOh8ck46h3D+06fJZYCzTd4PkmlJSH8B+++MLHPeD3jyZmzNMZRfJmEu/Mc+JGVlGQcpTgAVN7PY+ooxhJgMpWqO/u8xNz60vZNr1BoYX8j8eYOoFcA6BRbJBzqv8YVz1yJW50TBnql/z2rWSN5/zDW9b3/exaQTqdcZKzbNhSSY9g6bEU0fR2Avu/h/pcgRL3sSkA6SW3UacwHqLd0DhQKtgf6a/7nQGWgOYsubPSdsCJ5vXpvBvpmoTvGHod2IrzxcI9RO3lkJ7PzPXcsDHj3/Z2VPv/fwG7/dY7A87u/OZb53Q+9zzt7fQPnwHz7Jyt/+bKfsWn7nn+nkoqf8rTB0weePvD0gacPPH3gnY+0DZ4L8NyETx94+sDTB54+8KcmbfgaAx3QDSTfUm6blS4wSF5dUFUQTlC1fd0BdAGGDZJveXfBXEGILcEneCrwuv007wwCbCpBRMHfzaoqyLMZQgKfAF/rA9AB4KQFJ5CZbN8JqBRM4ZmHKVRQivSggDdJUYEc4Pku/5P/8f9oPrcsnqCn8we07iBepf1aFxB7l3AfoCMW9WHk7YAVsCBQIPC2/fFmLwj3P/wf/AsXAx0LvXarbQK6Ao0waQsgbi/Vi/n1iS9cABY/a16y5FSx5THYK5jYd+nVi/UeKB9L8Mjr1/7VaTMIAVQAdQAJqXYgOpYhpj6gD4MUQAOoK1AaaBp4M/LGq8RsDpzFzC2AeLHaDyhDwv0OoO9kCAFA4Pm/+W/+ue/7TksUvgagAxe7hpICMNJde8DPMGkPAEi6vetChlobu/7AdEWChH7CI7x+hnHe9tt3XQKEYwEp+VhOsPj9375ATGC3xAbXt3UAh/2H9Y313Db6+4C4f+8fzf/kvWunke4/QCCQb4OxbWddywDM6g3U0wcvxvxJTOBl3npk1P/qAglHmvvIWPf/qCQchQZe5te5LwAXwIylvqWxBfzJvLuWgHXXWMEa30C+Ni0gr64t63pUt2TJJxHl3EP9J0lpGOPk0N/72gS0AwckAwDlgaCuAUYzML99Amy1IwUKSQpzjQ5TkEd4fYt0O+92fu6dz8jiHuAW29541+8BoY/CAJULVhG1JRCfhPhle3E++aOTcI8x2fOn4zaWtG8+58CLSfB4/9dfmOiH/Qcwwghk0QC47/hk2qsXQBuwMeoD77/YWQB9+rSfgPbAKIxgAHB16DkfgN7zrPNxTfb+3Rekc6sjRvwAOOe61v7Y6xRVXDtJLhX93ZjdNrXNeN2eMZ0yAh/5Ddp0HpLo2L1IGpMA5JmBzTnj0Pu/ed0nLAH63vGBNGTdLdtWI5c9xpEL3mMkAMoznsw8WxXrUNTx/Ox6AHa3j7l5GJUfKjAYnlthCPiyQZrNxN6gI3YslvcG1wHlwFrzHHMZksvmoBIqHbNjmWO6Lj1Pfb8At8DIk9AHfDPfcH0Bao6zVZbUk3S7xIBdNoi+l93nQFt+n7rB2B0c6WgS/eOH/uZFqaa+P/PLn/zyJWdtPxjPO2kR+3zPn2vjzfxXNpAOrANOAbQA6M1BvhsBdMpb1W0D6Jv1+haLdb3rbCZ6Y1ZjI7az9xOJwbXjnnObs2H8U1sCnLPH2ElBbz1b3vzGZXfRtb6Sd84Y5fnbZ8+dnlPA+J4H7mVgMQb6Ts6tT/QMaP7SmAcElohRvbDYWSd1Po3Rzf8D0Dtm246dTYlZx5fc/Ns95HnSuNz6Erjm+9lGIkjvUh3f3EIyWfvybO54XQuqRZjhFWz/nTSz1dC2fLtPwLoxasaD46lO2cy81TxyJ+eNzczpHxXy8QDsO/t8A8ESo7fS2JZu3woQQHJMdAB6dddvJccYrzdIvq0ksPI36O7T/rHLsd7fko5f56Ced9D7zkb/ZtLt2/f8Nfb5tb/zTGjZ9lhvmwc8/+jH3ac8bfD0gacPPH3g6QPf96fcBk+nezrd0weePvD0gacPfMeDSoFgW9qQ/zngHBNjMzQ2I317osuyv4Dn832zjWTE330xtychFvkdRL/vawdZt5/bZgIVQNkBYED4Bt75fe7g8Xj+HYbvZg2R2MQaErT5/7N3f6+/Zfd93y8DuQi5zHUIFN85tFBDwHdhoAy5iFNfBeOmVkpUaGO7Eh3Hmo6Qx+EoGmQx4x5pxmNZo1/jkazKFgpIaixskGSjOJaDeuGLmCL6f7Q812c99rzP1veMlCaac+ZoXyw+n8/+7B9rr7322mu/X+/X6/WB37rJuAM6MF/5b/e9wHvgDMYnCWTB6M4j8PkuAH36oMv+F7TFPp+y7bO0fPqk8/vkTUjmFviAaUtyFsOXB2IBp8liOZf+q04Aan7NQGue6ALHlYAeCQWT4cdjlhchedypEDCvGalSjJnFfPnw6wc7ErhagA64gy1zyGvuwHNBSCxpQBUQGGBHVhn4TeYbOz1gBLgKaI0ZW7AzVjKp74AcwdN17pv9dgbP+34Gz3/ip39msSzeDvDc+FESzl0A+mRQA40xfQV+SYNL2hCQ5HcJEF/MwJ24cYBEMQMlPmwJ98MqYLPYK4cP5b6+kiGwq92jQPbF8NrAH5A7ULPrAjD2u30UwJU8sa7pBnXd4yS1sY59FyQHrGKIA9CxeRXtCgA/Au2BavdvABz28mSKkzjnoY6p3LIFhO8+h43u2nSeByN7J9MI0j/Q9wejX7u2TdeDnzq2NDBQnSWiAOS1DXntzikWHBWP6om5hqmGRSwJYYFLW8bWfdS2C4j/4C2RxfmSjpfY0PbGwOmDTkJXWwL4W4/sf8F7tgXk3bVPoAAp+PxhJUZQNlgWAlvSvgSGmTCgbTAVsY+rq/GoTx7okn/6XpIBAD3AfAXzNwu6epyl23nFY6C3DbDa5wK697hMkp1Hes89tgDz+TeTVTwrG5+X5Pvzb6xnckz5xufl772Bqp6BjXWd35Jm30BF7dGxAITAoq5x471xpvZll+L4jbPk/ilMSGawbvdx7Vcfmu3fOl1bPvAdp2eMJK3lPb5BTc+dqXDSM/bsWUztQgJN/UySSudV+zqf+lm/qaeQ5cZ0bLljePYdzNENYi1m9Qc+dSjoANMlBPb85OkMMJs+4Ye8+J4/mQuRR56s5jnP812iH+D5zBw3F5zguiRMakMK0KtnoLmf9c39qvOUoQemmUM4ZyAZuempbtP5YRlPpvy5/uTPlQnkSyo1T54AlXkLhmzX5/Cu3zLtZNktNzfoN8UjCShdvz6b69QXW0+SpwQJti/n+bRzmteICgDgDng+ASsAer8D0MkkP07vbs1XppT78kM+S0FjsnaOG+yTKNyYBDBv/On3YqLf+9T3JQtPAN28e71D7Lm2MdqYBgiWALesQH7rBqp3f7qWKyFiP2vNSz2PGv9WAs7923hdn1gA+nOvHvWa8u3A80DatqsAtKf/uGd/dZmKR+0LgN4+Gvt7Xjd+ZrnSPvQ7ya5tT02kc3ZM8y4qM31fiif7nM3rKHp0T9YuFHQaQ1eS8r2bwsaaE773o0cStASf3innNdYm+re+PQF0idzeC4755vNvHPedd5vOv/bzzledeKCf1Q28J6975h/+s9Xfzp7nChZ69TwA6p3gMRNaJgsdmH4eX70fn/3gpw3aXP+BhJnheX72HJ9JAA8Dzs++54By+zozz2eCyxxrvg+cP7Phd7tM3/OLef7ox+CrXG1w9YGrD1x94OoDT/2I2+DqZFcnu/rA1QeuPnD1gbcFRJ/+gKTcpy/6fOmXge5F3su6/3mhTzbRDJoKqnphB9T7jqlOPlHQElPpLJE5WUpnGc/2gd1EHr6gTp/9h5HTvg+2zl5GqrMAkHUEVQWPp7zm8kBPSrig/GaZYyIETCzwdstAY45iCcXqFrx5KwD9LhBd+9fWU7b9/H2yl4HmpLEBFVi6QKGDzbrZdG0HiJ+BuFmA6gWnWh8o1CfJyel/PkF0THiANpA0YAD7HCMdQ3vKyQqAH2y6524JGOfkBlLiAtLAqMX02mw1gO5inAy5TFLER3Bvy1HzROZ3S2IYOEjWPcnpwJzA8wqWc8FHbODaoX5Xv5iy/NpeeRTg+Q8C0Ce4iTkMGGYTsFiUmy1ccLb/Fji4gcuu1cHa7L7Mi/79nz3k3XlDswUAfOorPDFb/5AM31LHpM95DgPwS2oomMvjvG2A6AV8FyC/wVDA7ZRsl0wBpMNEx2bnLUoaXiIBT2oBdIkUgLNDEWIDwgWr6z/ku0lX8xzXFvXpxSoPTN7WDLyytYMgvqSe1fa7npi3U+LcvgTXlyfvBkoP1YqRBAPcJ1V9+J5vwBuQKOlkAdAbKK4exlOe7gLuWN6Tfdf/5OQB37UTMFUbLqB21yGwoeNIHOg8sMLb39EWG1AoSE72m3wsYLq6BQos+d09Bqx97jZzjy8LgdfelLMHqFI/WOzo0a68v9c9sAFWoGyla6iPLxD+/rcWAE7Cna94YHrXoP/y8w007zsvdMxBfax1WY64l4zH1QFbEIsSEw9b3vgdAFR/AEJQlliM9F996f/96v/5tVW/zq/jdO/3DOk55bynlUGlOhrDF3C025u3uCSGabEhYc093O8Fqr/wpn+t/tI9qe8f7PfXbgllXUeschLFXYfpK17peTKTsTAX25dnq77/gLrBTlKhjLHuu6EG07aeRfWT6s0XXVIKSe9pLbNk2Pc15HkOYCcXbv5jvjQVfDxXqfmYBx3zpOGbPQHwyXQGhM/15pxurk9lCPOyZx12NLll854JFFUvoNCsPwbt+Vyq//Q2bg4xky2nh7pzBUpWB8mYM5lxykD3aV4LRJcsqh6Vjs3nXBJS16hx2j0DRF2qQHu5+5E1CRb6lN0OXHRNMVAx/jGnAYlT0egu9vnhfb6BNCDXAgEfUwDdnKV6TRY6UG7KX0+AsuW1U2OYdxHvDv3O7qq29b6iXWZSa8U7BPa5JBzP9+Pe3ypWjYHLX3uDwqww3PfGnp4DjR2enUvRaCc5uT/Vpfvn7H3e/l/8yn84EqqMs9MWhkJGYwT59t4pAtCb59deGOU9LyWcVTeJIdMyqvGOPQ3Anvx5v2uTxval/rETKZ2ze2Qm+VFemOofrL5IsHt3xJyWhFPRn40lxi33J9Wxzn9ZXwzVqupUXZeP+/Y/XxLu9790JH8Drb07T+W2CTIDzvveex5wHYA+wfPZR6et2pR0n0nmWOaA8lmPvmOoe3/vO9DeMax/l4T6XQD6/H72PZ9lAutU76YyxDzeXLaWn0B97TrB88aj3lUe9fhzlasNrj5w9YGrD1x94OoDT/9I2+Bq4Osmu/rA1QeuPnD1gbcFCMPMODPRBYZm5vzhpbZfdAUkZnBiepR7gZ8S60oBjvmyD0yfLPRe7qcvm5dk9ZnAuqDIZLvzPicD75OvHaYWiT7+l4GX/b5Lchyzgd82GVperAWQABLABaAT4Lb1A5IX0/3dLx7BSxKLgQi8zwHoBVlI/RXAKnhAXl8QG2iuBMhPNjpmOCYhD97JLq3OzmUBHTtYND3QBeImC12dKx2bF2zBtMWszL95Aw4CipNJDihdgAswfYPXAHSJC0B3spIVXq9dQ56vS7r93qduEpixTrdkpmDYkrjeLLwV5JNQ8OwnDr9tUrgC2QLU2ESATKx5MscktDGMMYUwWheQdv/GfAxAW4DO7hfdL+TypxzoAZ7/9M9877/+b37+z99u8FwxbgDQBXIBx32SrJZMsFjMJEo3yIkdDawjY73YqhtIAJTzfO06UEVgmQBQaJv2AbxdoPH2ESV/ShoViA1kA5RX58WQB7h1T3z8Tw6wmxQ0ULTr1mfLAORAaSB2bYGh3PaYVksCHDt9t91keWOzY013HvyYMcprw/Yl4D1l0qlK1G7k8gGxgtU8rtsPOWvtIvkAoLhY04D659842PB9l0AiiaFtBOAn8H4w2zbbv+UYvkD2fvffYmtvMB9j2hirnljpU56+ZX1vPd6u7lWM4+rVNQ9IBsou7+4NrncsgBVQv/2orzGz47Wf6gB0p1BBNr/r2DZda4DHYWewPXHrX74bh7GOMVGdQ+sCWV2PlnVdeaAHmvPt7bN9eC6RmCdzP6Xb2ZNgM/f/Grs3sxlDsM9lwfLCTXaXLyyp2wNwf/YTB2sSELLUCt770TU2Lx/0j3x5sRd7DvdsWc/YDRhpX8fuWinGlcPvfF8T3uaSm1bS05Zul0Ahscc9mPT/keCyk77ce5KvFLYSnkuS4Yxbrs0DgOZOPOBRzBOYGgVAXcKGfUw1h+V9va0RsMglrUgu8nyrvcxxpnS85x3Gc3Ws3TsXkr+sbLCV+YpPSff+m97nZxDqLrWgM7jsv2nNY944WZbTo5jcsu/2OcGyybJc7NdnP7G+T9AaSI6FzuKnNnN+U3pdezTPUgfHU7cp6z7PnxrTWbLeXGUqrLiO+hIw3PjkOtYP13NtJ9p0L1T3qeZjHmSeNRm25uUSAALpzsD52fPc9+lZ3Dx0AYAbQC8x93FPGD6D6AC4CUZK5l3JsZsJDkD3GYhe8Z6kTalKVZrHYZ83Rnd/LhWNndBFJcb9TYacEsVMGJyl9Y0lksioUax+ugFv7PPeGRpbm6t3np6nEwD2/DLOVh9jSf3V/B+AXp/pWZKySYlZ1cH51HdZYVGIOmxPtq1Jx+l5VD3aT/+vBLKt5iEp0vNkWRds1rekN1LpivdW75nuvSl77h52vY0n5zFC4hflsY6HXd41aZ5B1UVCQPek95AzWO0degLNE0Dvs3c24Hn1BKK791rmPXvek94DZ7K6d2nHVp+K/71zTyb7/K7u8155K8B8Ms4n+H1mn9tu/neWbj+Sc/7hP/u+MccxnTsribPv+eV5/ujH36tcbXD1gasPXH3g6gNPsnYU0gAAIABJREFU/Yjb4OpkVye7+sDVB64+cPWBt13e8C459+97+X/X+9YL8PRGB4QLvGGEzzJl1vt/Sm8KVmEOTZ/0PgUcHWtKUE5JTYFNGfdA9+nNOSU5K3fJw08mUp8FUwqaFRgpKFagU4C6YAqJYgF8srYYcRNAmgywAjPaoXYDmE8AvWDVBNBbryBW/y/WwpA4nVKNAHSSuFO+XUAOeI7RUUAOc/bwTd7MLKzoyUAHoM9PTBds945FJnoCKZOdItCI1beAgA0UYsyTcFzBrR3UIhGJ5TPZIl2bygIdPnSTBAeqk+DFyJMcQQYXmI7tCSwnrcoLFzCJvb/qv+U1+RoDyQVMeSrX5os9ev9bh+d1dZi+51MOtFIwjd/o2+V5flcpGP0bv/v1v//PP/L7v4ORAxyu/3S9C5BW+CWTzCajrC2oH2C1LiBsB04P6eItQbzUCLZ6AjAOG4uaABYsRqZ9OiaGFUBdAgQW9wEcb7YyYBxo3nIS7pIFeKPztCdlj2EGICYb3bW3DVbqlCXneU7+vXU6rwK0gbhYq5IxgO4Yy+fCx3xK7beP2iHQFBDf+R9eq/ve06b9V1sDbiZ46zeQHSsS4E5dAAjk2koqat3qVH0ApjPpRFA/kHXdS5vV3ba1zwK2yaz/5g2MTVUAIx+oDTCVYNGyAuCSOYATLBdcS+oKtZW+3D5WG+xkEEAGhjw5dtenvt5yLPrFHn75m4cqQt+NHQeIsFnYrqvEnPqjJBLg+WrH599YEu6B5wEaPYOw4RrTeM0CdKtzYE3HC0AHFE0p6a7JUvd4381vGbu5fQHVJb1ITiGnK+Fo9at8vLfUev1gWTRsdnbXpPboudmzo+NhVes/APSuNfljCQjto3ag/qB/uy71Bazz2tm9Pq04Wq99ta6xrOXLFmArI7R+n/yxJVdJ9qkNVuLBHnf4V0vYwZ4kQTyTLajSqLskto4/1TZWwtBWRjGPWNfq2U8cLFZMZtdn1sXzDfOcHHjbY1zOOdECWT7wqQc8dTGysZXPgPFMmpy+4WcZ9wmgW27+CNgypzzLi097HeD0mXXqe8vV2xyCl3v3F5C9/7sH7vIvn4A/8N4ybQCUM5+bSaTqgwnf8SVsdh3W9dhzG/OQB6xK9nzlsJt4/o01liybmp3k4Z6tv1JHkvTp+LPO89pp63kdJnB3yLcPxucC2wCAjzGA7l2nuk0pdyB67zNTAto7DwWjI1FlKxv1TgLsm7ZXE7zV13qGNk6XTNe4vawy3vjTY35oTmnO+sD7xLb0YaWEdU69pX2latT+XvydW1KNBMwJnpuTS25t7An07TnJv7zxdKnyALH1pz2nrh91zzUvBcTXHyh4VCQqNj63n8bxtjHesC0heW5etBIKtsVL32tvwD1LjO4BADpbi8at7lf2E+ue6jjv/cgDnuOU0ShaYKH3e1oXTDlzdhad90yQkhBFFWc9t17/t2se0bl4/1jvixuoVpfZz84M9OmBjnHefH/6oHv/mwktUxVifnrf9Q5/lpCfXuaWHXLt+39lSq1XeKOf/c1nmaD6wwD0CYo/INtOKn630/kY05fd2NS9LKkYeP64jkVXudrg6gNXH7j6wNUHrj7w9H/WNrga9Lqprj5w9YGrD1x94G3pA5gZBZYC0AssBaDLVC9AVDDAyz+we4LrMuPnC/xkn0+fyzPrSJBzZsxjecwMeQD6ZDNNNhI5SgC6gKn9TgDdcTHhsanIgRckO8D8zbgCuGNrCQrxIcUKKqASGFGgO7BHIJ5UI4ZR+xLYrD4FAybrfH4PRBdYKaAiWNtybd3vKd1ewdwKkA2gLriGXT2ZLHyjl5T0/Rs7UkCfTPoCq3eb3wWgA899dvzaiXfzAjA3u24B4gH524sUg1xdADEF4LBbge4LUN9A82T5kIZ3XZLZbB+VJWO7ExcWY6Xvz37iuK7VByMekx3LfbXZBiqwxDq2BAQgLIn3CkYmBun0LS6QOhnOS+5yHx/r/GHgeQGiAtUFiALPu3cfBcNiAui/9NGvfW9d1wE0A9AX+PvKNw72LXBau5FJ7nvtNpnAtecC3XZiQkFSEqhAPmUqKrAhwNI+2NoTRN6yqCwDSJLzRO6T5DmAEoAOGAXcYhkv5vJrt+X9z3cZO78AtfPXVu6N/usYbdP4UR0wjQHIwHnMceDw9FafbPzapd98sgXeO0/tz5N0en8DHklJ2w5jv2XVD9CO8Y1BJmFB+07p/tVWW05/qnYAoTGLnSewmYR+4CaAk+R57c1jvHWwkjsviRHzGhzA6U4AqNTGk2GMId46AHuytthvEh+oELQOX3TjfXVTj67lUuPY/ZsFQNeiz6XCsCXgD+bd7r+A9cPrfCeLsJFwvTpX4HnMemPf8qve4IXkksai6tKzCljhHAEFnZ+xkv9sv5cSQuexwVuAS/vDDJec1H3bssZa42Jt0u/AqerScQL+Y3NioHtOYhq2XcetkM/Xfsrqk0Ploe+k89kzYJW7j+c2ayx67nPHmOS+WOPFvp8OJvcGsBdgtZ8R5gXkszHHG7/0twOoihn/8duYqP9PoB5I5l5on4u5v5mQS754X0vJEyTbjYvVobZ3ffhg97yRNCbJYcqKn+dMffbMm97oE1g+S7dbNpMcgVYz4XFKu1vfd8DXlCVujnn27Z4gN+9j8wJzS8xrALL5HSuYpX6zgcK5TevyVHYs+29edWbbA6TNk6wzAXnJm1jwEh7YAEggrG6sTTwDeUJLgNEP2CK0L3OlNfe5d5vzSFbEpJ8M9CmrX/sC6Srskc5M9MlGBfw97gC6eQsp94C2yUI/g4beczDCV9vue8p7inW9G/WulCXF9M4+xuo9B+l+7L5ec4oXvryusyTPQ7Fiz1Xahh1En6wbJOA0V+h5uFRYPvz6oRTlfcBcEoDeXL1+1zYSHAPR2w8rHs9l1kmskeo3JNzbVzLw9afGsOVr/vp3bvOjYYlijr7esd794jqvnnGOuRR/7t+SoWqXQx1mt8V6lu5kLmMblrfrQr5d0rNka/cdoFh/1s+NRVMRw1g3x7nDemQnBUr88/yfDH71ra94fwVSA9PP4Dm/8xKdJ4COkQ48N04aA+9Sh+j/mdAjkWh6oAP0J1P9qNe+B87y8MoZ+D6zzjHPJ+A9rR7ODPMz83yC5ndJuAPzDxu5DdSXVFyZ4PmjSCy+ytUGVx+4+sDVB64+cPWBpx9JG1wNf918Vx+4+sDVB64+8LYGlnrp7OVzstAxKwpse2n1Aj7L9GabMusk9Kav5QwotlzA9gygnxkdBR0dT6B1emC27/YhSDLl+1rv8G/fAUQB1YKmmAt9kmgXKBVIEUwuMDK9K8nZCrDEClkB7828xjLDzCMXSlpzSZD/7C+vYMnZ+3yy0En7CSZ3LjdQ9eeOAGjr8D2vFEAjcxo4+7ff9bHDTxerBfiIHcczebJQOn/BsOp6F4AuSFepvtWj9QFA2oF3J2l27HFyuNoR02pJ4Rb8/5dfPBghtVvnA9Tvc/qjA+dJmgI8yKW61kByxxeI4zEMcD+YhRuAwMgULOMnv+SJP/z6bd/PfPJICMAWVUhsY+S3Din/CZoDzqdk++MQIGq8+PLvfe4nAtCTcecxTJqc1yUGcZ8FGbFDsa15OGOHkxw/GOZbvlqfmaxy/WRdnxMoC2CgXAA4FyTGlsb2XWDES19fQCjfcUzfgsLA2ulx3ucROB3AOnCd/HhB1vo+BjowHJAuANv2WMoL6H35JicNIMdox5itzhjzHQ9zf0mmv/T14//u58Ui33LsS+Z9J38sIHyD5kDFydruWgJxXRvA4Ewa4Z1qP0B+8u0AZ+Cx+1qgvvXJbksgMHYCoTvvAu8sEYDZLVuS75vNrw92HcjCk1rvN7l1csgAzZIhMP8ocrh22P39bhwX+A80ILsv4ah6AeLrTwvQ3wkZ1V07sjkwzi3wfKtRrGQOSR6xrDdwAlBZzMWhIkIZoQA+/3MMP2AEW4zAlsapxrfuscbHtuv3ZFG3Tdsb9wCMMc8DLoDLi0G+26dzlYi1jrstMLrGi70+lvU8D+jvs30uJYRffWk9P5bVir68P6tj7aRvUCqoz2DxHz7yJ2UIQHTrYkD2n/uVIoTEEtYSbEwkBxxqDsNGBFt+qphM6xFqJRRLjvtjJzOsa5vqy07mWckV3RsxjreiDWUITFj9VmJXy2sfzzuAHzbpAlmHVUnPGs/LronEM2o7M8kR6NzcR8JZnxMEP0u3Tx/tCZDf5YU+wXcJjiSK/a8ESNv+LAWvmKd0/M4L69tcC0DuXKd9jP8kDU62uP0A089S7ZMdP9WQpqy8eeW0ApKUJ2lvXc97t4QW15aMt8QodjGeecYtczYS2PYNQMfGdw7n69Acvno3x3sYgD6BLPLtAHRJfY/zu9vDpNzPLF3vIt1LJfrUliwQKB1IIubnPEH43hNab6kQbfuVxjiJcStZtfeHj3x53bPY58bIxgoKMhIwl5T5C19e86nGLc+hpUSwkzK6RySrSKSV2Nq8vHHi1//gL9fYXuJZ+5hjasslRek3076AzVTz/tqo9fmas/FhI3G8M2ybJSoykgIpk5gDebZI/Cq5q9L35tVdh6XCs9VSXA/37FKYeu7V71OMmIoWU9WCP7j3QfcoIH4++6oT8J4V1JTBr/2WIs72r2dPcgbQ570DdMZAB5p7r5vsc/eh+3QumwD6PHefkwWvHt6XJ6g+5eWnnQEwewLjx7FPAPpkn0/wfILi1pv+56ThJ4B+lnM/M9wdhyrX4/BudJWrDa4+cPWBqw9cfeDqA0+/7W1wNfp141194OoDVx+4+sDb7of+MBBdmYA5kHxK5fXCfmSu/9wvPpDtPoMV8wW/QMVkO2GfLwm85978nJ5yd7Gfzt7rM4Dg2JP1XsAEMC8o3HIBI+z0GUAVLOWbKbgC8ODlTPqVJGKBH0Egwc2CPRhBpBbP8u0+SbELmqhH51zwskALlgUAvX3yLCyoBmQueD6BxSk9D/gB7vad9HnnfPZAn/WdADrPxeW5/p5XjiBdIBLpxSXh+8wnDwYfr0jAM1ATU37KvlMNAKCvAF/ntQENcu4T+JlSqYt1vtflyT7BczKv5CMx0TH4gUxYZAdTZ0vQ971kBaxzgLzvEgjaR9tLdDgD52fwPIZXwaFHHaTu+I0X73nxi/9iAugTdAykKlhKCjvgrkAruWoS28BzoDJgVeIFFj9AgZzxAoR3AsMhnx9o8JFbAkj3Y/1uMsAmQMW/m6S4BIDD53xLigK9gV7d14BYXp6YreSh+dpbP2AUsIuhDlTVZsuyYLNeSX9jWgekVw9tCtRtrNE+AGty6RJj3EOLobsBd9YN5PYBz9j31YPUdt+BvyTXjRFAHUA5Nv/0Vfd/yyYo4JpWFut5KzL0XWJCgXas6IL9nX/gQ8usU9sBy7sWfbqGgPnOrfU6bp/Y3dVhrtN+V3A8L+oY7xtwrX2MYXxeScJLjsDQB0Ksdn/+S0f/6Nhr/Hv5m0dihmsBYHUPPDAW7/6+2nMoVvBEN062z/pD4Hkg+qt/+Ferrj1vYqV3f+i3bUf1YjHG798SVaYtQn0FMxKDvd8dYwHOG6xTt86Dp/f0Sl9JSx+89Ses9M6rcS/ZYdYoPSNjb/YsaUyfSTH6TyCGpIiDAfiZm6e5BBaS7ZJcgOqSKlp+jDWvfGNd49pksTBf+PK6d10T9gnAc+crwYuSyrQekahFgrt2rJ6uIwWDw7d935/r/nn/Z4/knY7R+Rqr9LV1f6dqg2W+xzygUnOMvk8GvGebZ98CcT1nN6juWeQToD2LedBdFjq8js8S6xM0nx7bZwb0BKWnnHif5jDNP+zHPM5xDyWf4T/dcgzaqVpDfaZlK0lyzy1aDxMf0MyzfO5zMs3PiQDqJnERsD/l5M0bHEsiJsC7+xZwfqgH7EQy8wfWKZRa1vo7QaoiGXFe+5kUMMH/u9oceG6uD9yaUswBYc0Bm6O8UwD0yrStAqLfxT4PBG1MAuQCbN0j813oAAA3uOc9pvFSglBgq0Qf7wFUDwDzFclN5j9k3pdayuvfOcarni36h+TfKd1+lm+vH1IG6lnaJ4UXcxAqH0vhYvfH+ihVhd5DAOjVvXNqX9jj7AUkEElcaT/VUyJTRXKsuUfn1DNmzQE+88eH/3ztXvu3rNL/+jxmetcK67vrZyyoL0+Wdr/1b/ZhxhLS7d4V1nm4Pz9yS1DybKsOJNzXXHAD64Dzrv98T/b+PBnoKyH65IGOfQ4g9nvek2f58vleOEFzidZ9d/9O67WDff5zv3jUT5L2BM8nY3zWz+ddEu6TYf4w1voDzHPLTwx0x5nriC9M8Lx72fvRBZ4/+jH2KlcbXH3g6gNXH7j6wFNvYxtcHe7qcFcfuPrA1QeuPvDI/NDfCkSfHmpTyl2m/QTZJ9iLFT5B7RVY2IwBQUbBhwLBE0SfMnS8OWegxL4FCAs4zCDwZJaQ6Jsy6tV5AuvWm76afW8bgGvBm+rGn7SAJrYaJiHGYsGVJTk4pFS1g8DUGThX+JkHqE4ZVIwB7HT7EbydbHsgNfYZ/1xABfADkwmDVwCWVHrBucDxKQt5FwO90rrtA+DBI5kP+wSmMfgAoXwH+wzQwN4G/PBkP5jo2wt9BY43mIFtjt0FQBcEnaxz7YJZ6D/f+ahiH/KFB447Prn8ygT0sb4EFAME6mNdpzOAPoHzKdn+OIDnCgD9mY9+5VsAdCBPQFVBVYAVBigGdcsD/ADGAUYYufrJIXO/pcB5+GL6Y5PzisaUBo7WjxdLc7OlKyTJA62wWjF7AehY4ws83GzuBVy9fPMsre5Y9Z2jgHSBbZL1Kzi82fadp/Nrn+v/pMg//e0bY+v+DdhrP0B621T39gnI58WNJe5+rf4AYAxqoJ97B9jqXiQHfLBhdzt2XDLugO5pPwFsPo69/afVh2819vD0aaZuEQi8khb2ta0dXJ+OAbRs2ZJrffXfrEA9xtxKStoKB12f2rJg9gSvVwLDZrxjq5M575wpBJDnN3aTkl3y3kMhgb+r7SUN8FVfktuBs1uqXntj5HUMEux80asDdQTM+qmW0HeqIZQT+mxcAfLW/s6lOmGg98nz/Dc+/dVDKr2AP1lx3vYtA8C5XpUJpmBjY99J1ACM912Sy2JrvvDlYywnM91/Pdfbp/GUmktgSc8zADpguON0zbWle+HwqH/pxkrvuhl33K/AGokT1C/+6W//2U19YjPV60euu37uHvI8PwDrEkC2tzgZd6xzQLTxyXHX+e/kncP3/P5N9YAMu2OxuOiaS1RoO/dhIA62ef+1bd+71hRW3HeSkDzvAG3mH5K4AMoAPHMi4PH0zj4nJgK0eaRPhuddLGeF1PBbSbrP7z0vgfKA6SnX3H8A7wmit07t4/dKmNwKNFOtpk/zQkAzb/QpB4/VOtn2U77eb3Wdc0jAOQl5ySPGx8Wg3d7l5MIleLE0oEghOYoljj7S/+5v/VIiYcefTP+ZxDAl9l0/SgBT3nl6fwf+lcDZXKUEv3cKgD4Vt6r3BNG9J1C/woTunpuWRuZz04u6eRtgsH2l3NXYW+F9vsDvz9w8vFeC0XOvPpDEIgFzKlz4vSw3tn84+5XqVZ9xPz0MQO+9oLG0+YSkrwWa7/ETI968wHyLv3h9xdxf0mxjdlYhkoVTFKmtJHHUL2snCa3LhmMnHUp2kxzV83uxuT/zx6u9MP/77BwlWE0Afcq7e+cEHhub6sdT/ty70WRrLw/tnSjt3a7z7rckJUmv3Wcz6Wpd15jzO+kFgM6uDGjN+/sBlvcAzwHFk41+BtKrv9+rr20QfALozl3S+Nnf3Lv6/A4En+D8lE0/M8KxzSfrfLLEp7f5w5joU7r9DJ7f9fsA6seyu8Dzd8L4c5WrDa4+cPWBqw9cfeDqA0//Z22Dq0Gvm+rqA1cfuPrA1QceSR+4C0T38k/SfbLOpzzdlKmTzU5GfQZJ/RaQFfhY0q2Dge479rl9TwAdq92+z17nAgvWJwkvsOq/lpNVFzCdLCSB18V4xWx+7tUj2En+liQy6VUef4sNuCVbKwVqBGALhszAFAB9MroLgBXAmkFoQZACLoDzGcwVDCeTDjgvsIXhgjEKJKneAI8VgN/MmADhwOECwwJzb8VAx5pfSREY5RtU4Fc92d8L4N5MMew44BzQQjB4epFWL2B233mJCh7zrgTIC5gLWGILAtDVBzB+SMsn47iDYzOoyR8SI1479b06zkCe4D8wAKP/h5Vsf1yCQyXbVJePffGbvzABdCBXQd5AYkxboDrZ5AL/iyW+Aa0Y2i3nf70YlpuRvOTeN3B49n8F2AHB9Wny1pivlgEGgdG8lIGRWN28zIF1WOgLqLx/8/u0Tv2TDyifcwBp56tgWGG5F4StncjZLxD+099edYmpjCGtDssrHDC9GbSLuRrLNQbuBjVJtwMdqSAcoEttsLcni32wa3eb83UHwJHnXkHrEg02kCqoDJgHmmPFL3WBwSSWhNC5LQWAnRzjuNUPw4u9wZSVD0AvWN02h0/5K99Y3wW1WxaLmGrAAm2HMgLwoOuof2GP81APFMB4kyggQYpc+eEDv9tSX16g9mCGNwYFDiTnTvbefWF99whrB4omWM684oHBU6WDD/oC0+59YYHnAPQADUxH12glHdz7wk3W//k3DvlcTEYy0oEZ/Mwxz6kFkGqvDXiS99n25MRJERtzq2dj8ZJ/30BN46YxVqJcz0GMRb7stR+P8q6ttqiNasvq0W8JEfoFlrdPag7th2zxuoYbFKGysBj4L98S4A57jn0NyGhLzvIcmclWPfMw1a3P69zzdp3PTkBY485rf7LaayXU7MSew8bi2U+s9YDmHVc786JfiXq7bYGt7Z91jIQwdjVA4wmweq6thLIBik/lnqkWVJkAOuB9ss/NU84y5/6foPycG/a8tM2UYLbMdhIx+JwD9zHFKRwBI+tnJXH0ebbxAXRjotqmtmTnM+upbkcy47ve930AOpBanaYN0JxPAuo8pzBhJf5JqJBsY1yWBNn8xTy0PgFAd92d25FQOWT2J7jYp+/TY3kC6IHnfTb/A6C/kxjolam4dReA7p2gOV/PgiXjvpNfp0oDEH0CnRN87FrX3wC/gcPUIigxSaY1djQmkj6X9MoGaVrHALqpZbl+zbvnXLzP6toYR6mFuka/KcGsedRWw2Dd5B2i/tz+G59Lmu3a1ybsZ9ofYB8bu/Nqjsu2oD65EhA3ix77ve16VgVGKx//vdvzt/3UfoDbCaD335q7fOhzx/WQYK1vSwo5Kyzc9a4ERG9sMC50nbwrdv3JtteGwHNJfo211VXy9Uws96569kAHlvNDP/ugk2x3L1ZaTnXsDI4f/uAbXJ8JMK0nWXwC6O3vrjpO1vjxvf38t//0+5jnD/M9v4tpPv+fIP0EyCeI/wCAvoHz7tcLPH/04+hVrja4+sDVB64+cPWBpx6DNnjkFbjK1QZXH7j6wNUHfjz7wJRzL7M7EL2XVQC6zylJ17LJTOex9lM7YDEDo4KwU4Z9+rFNH3RAetv4PmXjBQMW6DjA5YIj5OSrg6CK4Gr7nqyqzmXJue/AsgCqoDHGUJ8YywWDyJsvecIPfe4AGkhyFujhJSuIz78SuFpgqrqfvc/P/ucA1slAn4GR1hMIqa4YV5OhfQbPMRBJXgOJFpsp4GNLrFfXAmGV5OEngI6Brq5TQr66LtbXB26SwIBR0osHq3j4kGN1823GsCKbbl0MMcG5BcLsgPRktWNAFpQWTHadARL2iQG0jrPleQXUMciw1XmKAsIFGPt0/oJ4JGhb3rqkJbGFXN+3kmx/3GQJq9Nv/O7X/34+6L/00a99b8qwY1gHGgZ4kS0nb46NDhTrv5ZPr+ADYN/9cbGKN6i0mNkv30ACjFcAceu4z/of2LAA0sGwworX5wGs3bMVgOhiqW5gnfwzwNM5kyAF/jsHbRBoB6jkgT6B08msJcdtP23PH73PAs8LLE9u9bWbDPhKJKjtN6Mbk1rCDgBdmwTS9l91XgzsDRADrDG3gYaC1As0H0xtSRPGEsdeAHoA/D7OCnRveWrXo3XW/oaE9WLibsl012l6fPe7wLW2DVgViMdsmz70EiwAprzGSa1r49pSe/Kq7X9KAlNBA6BOpr7lHfcA43e/Ac46p6T3gfW83fUTrMDqvRjqL9xYhfzDgeSOf1zPbbWBTV0wP/A8yfY+Fxtwy6iTymU9sLZ54fdXskCAQG3Zb30dkIGBDpxr+9bl9+p+wSbsf8lknUdj7ALyNujf79qhsbX9Bzw03pZM0vO950rPAMAzVQH2DxQbJMbURo03kj7cn64FeffOeXmCb2UC91//axv3tOSVrj+LCMoAC+jegM1UMvEc8mxYz7iP3Fj47Wsx5FOgyC5hJ8J0DdkCuLfaruu42Iy/cbOmAJKv+2jLC1dq//XM2vL7S0J4+KS3btsuufI952BpMrcDtLKwAT73zPL8k0SIiW0eh/kNbG9O07PN9mffYf9NEPwsJw5wN38EQk3wvX3bHgC5wKYNipsfmHOuc9rzgq5pc0LnNi18fDfXc42nTPxUVborMbT6nhnzALo+JYViwZPvX6ohO+lvMuMlD0qKMB+S9NL1bJxs3rTkrH/jlqSoL04Jd0UCANB1Ao3a/AygT/Z5QFbzvXcqgD4Vt3rPmQD6fAcBoANIJZtoQ/30zBiuAHS9ywQ4B6AHslbaN9azwmbAnBZ43vgkka/xsHFjJltQ3Woe2TxzAuiV+kpjqDmIQk2kPkeavPOsv6xxZieISvaU6Ntn2yw59uZ7e863xtWdAFTfntYH7Zd8e+MouxZAdM+inl2B5xUWH/Wxv/HX/9oaA6jJ1JbG5sbjrpmEnKl8ZsyZ6goTPMdEN/Yd3ud7v97tJKZUT4ljkiZZaHTv8aL3XjaTMiYgfZd0O+9z/YgHep+HP/hO1gCse8fcBlloAAAgAElEQVTt+1R+A6CfwfW7fkt+n/f5BMzP/uV3sc5bNpnlk4V+lm8/L++7JIGzv7rtjrpfzPNHPnZe5WqDqw9cfeDqA1cfeOoxa4NHXoGrXG1w9YGrD1x94Me3DwDRBZcw0SeIvqTX9os4QH36qgGtAdtTAnSW+TIvaAXUxkIvqNGn/WK6C071Yl2Q0udP/ewv33y/f/aX1/4xlATHAMxYwuoyZdsFfki9C4SQnV0ssHtvSoILaGLnBXbEXsDswBQCzHYMAUq+gpOBrpBCLygGgBWYFSzBIsBemDL1GCxTAh1gRp6Yny7WdoH9yczGqlYHHudTbh543rkA29Vztc8GLSUZLDBjgNdk2ReQvkF+IL66Y9NWMMan/DsWHfn0zr9zmIy+JQ3Mb3TL7pKqFzAnbTsDzoAFfaL2nV6vs31cLwD5XHZmnD+Mef64+/mdAfTFkN5gOIZT4G+AVZLJgM3JJOXzjVU1Wd+ASNLs2NfsBbCt67MraWX7pi+lgQ02ToZugV3gcfvG/FQEqKs772tB5uV5vWWjSZ8C28izT3ZYYKBkAUApsJxPOnC8dfpc9dhsd4x06wDRu1cDL/tv+SRvUJmUeG3ReS2v9ZdvQO1hmzBUHbqPgKWdKxnp2ke7saXA/G97AK7gMbY1wNG4IhmHxD5QbyoD8J3v+F1Lku4SGqh38NauTTsm/+jarWWBvwLZJLvJXS+p7a160H4pgbAaAGSTAFdvTLPFkt/JDgBxYGvngzncfg4Vg90XXEfnXFIEUFcyx5LN3UlCnU91qJ21v2QR7Wtd7HyqCxj87Y+Ee4y+SoBNn90XGOi8WyuBFuTeW87fnWcv/1/2B23Pu7bjtR2P+Oov+ap6USToP/1vrbPB3Y4bEELCt2B5oA/mvWcEZqN7r4Klr68vOeMxxmjr1q3tJU1IeOmaSLSQ2EUSf8npv/KNNwHwnXjDUqGx/2wJ4jkGYANCkXuXbND3+kfnR6lAMglwvTpjmS/rgK3gsMa+4c9Lsv14ru32VgCtnuWttyTcN3B+ThwDCpJB77mGcT4l0/l4A6DMlcy9zqA5oBmoPJmfFIoA6eYzgPgpwQy0nhLMAD77A6IBx+fz21wBa521DeZpRXIElvE8b4UK0lkCfdZtMtBn0kHHXEl8z716qD24dn2u51rS7fe+sI5LBYg6RPeQhECKD0sFaT//lmrJTriwb33U3Hb6uKu3efpZQv/MPm/uHYDePHMy0P/uT/wXH2cz8055x6k8jIU+AfTGqArbBnPDmQBsrjeB9NnPvSMlQ459XglIXwku+51gzmVdU6xx8wvfjQ3Vp/t0Srcrzcfri419KbiYmxk3vZ8s25LtP169JI7oN+0Ds917yXwun/3J13xiJ5waH5YCyav/5oEkAP7wlZ5FlZ5X/+ql31p9rGPVx5of145Y60utaCtJuGeNVcYP40ljCIurmYRs7HKfsreQvOadzjONXUil51WF7dBKsLh3u8+W4sVIJq+Qb58gNPC8dp3S7ZNlru4TQAeanxno0w8dE9161qGQ8IAHuv2emORt/4D3+K7zwzzP30qqfe57WkFMcH3Kx58/1TH2effqJdv+6MfQq1xtcPWBqw9cfeDqA089Jm3wyCtwlasNrj5w9YGrD/x494EzQ2OC6AIC2OACa+TYDhm4zSQSRASYWy77naz6GUD32/8FOoDg5wAF2T5BWcednnCCn9MLXSBMPQQ+MZsEPgH5JFCnRzdmCpYCgEIwU3C+gBXv78BfrOUCRGf2+QTQMZQno+sBhtAOMGCi90mS/vBT3AAGSdvqFRCzgq6DmVtgHUh9lm8HEE8Qffq1Twb6BNCXL2xStJs5zHtxescK5gvsF9juE9uydgYYSEIQFPd7+qBjnLVvcrfT1xHQcZTtc0hhQGLFGURfQMQO2iuTde78p5zmVBCY338QeP44s7kaHwLQ+aBPAH0xdLYfOJC8a84XHajZ/33v/gBeA5VjNCWzzVuZXC3WLplwLOeunX4CBGubBVYOcIHfeUHPKavMnxgIV6nOmPH8kjsv8uHk18nBk2HHej381LdveoBky/vefvmln2XtSYPb/2qr+7fzAB5LfuExT2a90vfurf4/vHE3qFybruU70UBSAv/txgRS1t17gHQs8fYPDJyM8nX8nTDE356HteOTHyfjvpIZtpf29LHnYQ8s7ziNqQXX53Uj742Vpu+tvrOvNZZx27UOBn/rzUSO1b4boJ7e9BIusHt5WC8Ad19L8uCuN3b+8kbfntZLmj328/0/WhL9AF6M59btmvWfNsJAB5ov5vYGlyWP8Ll3Dhjo9bXqEoAeUF3du7+6B2vH2i1A5dU//KsFYkhEcG4tW4kEW6K2Y9SO65rsa8aDl/KApArPRezGAJkD0K2NN4AOTGpf1SkAovETsKhdFzizE2yqP0BpXcPNCpS4ok92HOxuz7vqqs1rO77wkmnW8/D5m+pB22hrCV2Y2lRTer4cQPl+hrAM6XvPobahwnBIt9//owPEXv1OMsW+vzHea7fqb6zDXG8ZGfmlzrGB0pWQVoJcqgu/9uqRDLcA9u2BDSCSJNZ58PudIDRJdKxy3tnmTTygyR/b5ixd3jOwMr3M2eZMdSIg+Fmq3Zxn/p4+6JP9PuXmJ9NaMmGl+YFEvX4vhi+m97OfuCVo7uspeZIM/F0JoEDz6Yc+E+scFyivXpQhpox+11N/WSpGger/8qZCAFSXnGF8t95KyNhJHrbTH8yVOq7EA3XVrq4RAP2t2OfNzc1ZA/0mgP44z1numsNMP3RqW5OFHkgLQJ8JCeTNZ/uZ82EIa+uZmNI+G/Mw0LtPu8+BzWts33PRjtN41jhdkTBWXdazawPd+n3HNzefyZyt0/jYmJ8SCjsZqiyNORJbzZW931BmMJedAPr/6F1ng+eHtPxO6sGon4m0VBOA6BjonRfw/H/6xf9l7b++hX3dsWu7jjfB/5Wgd+/mAS/J+qxioU9PiwJ1Mu4si65dGg/5oPNzr134zh9+7ZLsXriN75JZ5vvplEbH6J4sc8C594Tphw5Mxy6f8uzA5qn4NhOqJ7CuLvZ7MLz3cvf3GcCetgRTVv4HSbefwfMJkM9l2uQMoE8rhOP9djPPA8+ntdU7aby5ytUGVx+4+sDVB64+cPWBp38kbXA17HVzXX3g6gNXH7j6wGMJopNzB6Jjg8+AwfQ/FzwQZMI46pMv+WSVT/n2CaCT3HSsc8Bgypp3nOmveWbbWBdTiRz8lP4kCXj2rSTl3roFWFaQ+/6XDqnwMwsd0Fawk7RtQbKCS9NX8Czh7nsBq/4vkDTrP4OcU+aucyloVhuQCsUWrH7AD0EhUsSTwdu5BJ5hKp3Z52cAnVxkv/0nQNWnwBlgozbhBwy873jLD/eZTx5Bbqxz7FTA2goUv/8mc9p6wAwlwJ90fe2MAei6dL26dgUo+TUW0KyeQHFyrhM8n3KWpDaBBl1HAUwMF9722C8TPBfcfCeC58aGL//e537iDKADmnl/AwoL3AZsBpAHOi7g/P63jv8DXQtMLobrK984gE2AJMY3OW0+nUDiJXO8ZcABjKSaDxns3YcA1Vjd7lMSpoB+/trLL3yD2JIEANnkugP3prw7FjIw3vljKDt/QL1kA/uvPSZrmQ886Xly+RWAdn17gWcbtHbfTDn2xYqPuVb7dX02k3H5gu/2cZ5k8Q9Q8oNfOkBL9QWMS47pOgCTgX2TeY4R32+JEMYn9zubC+fKl73+IXlhsd62HO0EzyUv8bTGzAZ8U8FoHwto38kUtUXrVF9s5uq9rsFOHFgJUlupYLGZd7vyf8dyJ+lOTQF73D2y2m1fe23b+aYq0PljmHeMgAhJDZIYGu+ArkDfSscNLA9Al2wQ2BJAUf8AmC+P98//xQMS+Fj8WOWtD0wnF9wnH3jgR5+uJ490/Wb5on/olsxiHaxrwF7LOt7vfuP/Xs+uniON4TNpZtoqSFIhvV+/wErvnDxrJRSoa/0ey9uYsfrH/W/dJIVfvl0bCTYAdmMJueTpg9zzIPCGEo3ELEzhnme2k5xRH1sJP1uuvc9lcbEB9rX+BsXrc645wLx6dh3at3tqPQs325wM+BoDTrYnZKFJgs/tJmN7SpID0HuWs7IxV5q2PEBwALJnf/OQs882higZ97bpeX2WSG8fbFEwu6c0/PRdn2WC/zPRTcJkz24AuYS9rt9UIaJmMy1cJuPYdyDpZLyacwL5HZfKDaa7/gLopjxBeWHZP+zkIrZAK2FlA5RtQ2njSFBpvN/9VCKHORLVgNnOXRPXaF6rt2KfB5o1r5kS7v/lT/7dD7zTAPRK9QWiz3ccCbwY6I1RWP1r7rjfAWY/ANBOef+ZwKHtJWRMgJ4qkqSY7v2UP1jDUEkhd969v5J3tmR4Y6dETuxz9w0bDCoqy5pkP1sl3rGbqu8ty4+d4FF/Ncc9A+jG+8BkFhWNT1SjGqNs37kbN9vOM2eyz0v2qt0n47p27HfH7X2mZw4Anec433Hvkt5B9Wlzbn29cqiVbRUytg1Y6MseaNsHeRabc0hGoHojebB3wbPN2GRb8/oGSE8W+mSgA5AnkAx0BoBPtvkExDHwp1S7etwl8w6gfoBpPvYJ5AeUT5AbgO77ZJSf2eeOcSQSnI45kwLOx3gr8PxxVei6ytUGVx+4+sDVB64+cPWBp9+2Nrga+7rhrj5w9YGrD1x94LEH0ScLnQScQIEABmn2yfwWdGpZL/wAdJn7glcTUMdCt26/J4AOWC/QwwNvSscLppw9KwU4p7zlDMQC0KeMp3PgKRqTDsMZIF0gisQxFi1wGsh7BtAncC5IxccwoHUGkyfLSSAFs2t60BfQEXTzWeCn4FMBugJRZJ8DK6Z0egGwzrtjTPa5IJ16As8n2/rMQA/oiV0ZIIWlgmU4/R6Vjs0L3bYBTMAYzMAFug9fdEwr7BcAetenUqCLzyN/QyybKdWuAPMB5qT/q2PfpyzkBMa1Q+30wzLPSaC+E4LQbB4+9sVv/gIAffoPY5kHmPc7sHKBX69/5wDJ6wtklFsvgK//C0oGePECXwypDWgv8HtLN0v6wLoDNiywboOKWJtY1BPIPUC4LavdcQGJS6b7w189gtdA5X7XDzu/xbK/fwusShZwfhjprQvk/Z9f+/MVvO535xZ413EEZCUeaMO2XR7lm42+PJgDJXfCC3YzZhSmKrAdg/fwNP/wV1ewvDGA9zZABjiMLQsk5kNuX6TzXW/WD5jqU8IdAOsatS2QsAC7/QHpJQuwW6De4dO16FoVtKcY4NqVpEBatd/UB9a1yMP+/oO+5bzrD6WCDXJWl5bzcrcce9kxsfZX++5kAqC+sd9+p0c6mXnX2bUELNc2nhW1jX4K2CWnjyHf2Ng1ajwPQF+S7G/86bqfqHx0voHUFUzGQAtABhZh14M3rXvnYEfvJIbGzMZRfamxdDHsX/j9ByTf60eBCotFn1fv+z51S4jIEuA9ryzgIzCqulR6pgPQyVm37+o3AXSgEj954PlKzskPfSehGDMARrWB+6DSPWh86r5bQOXu7/q0xAV9uGXT2qWyEtU22CQpYDKKq7vkEn1wJbrsvl77UoEwjpEOrm7q1T47V3YwfLEBpdMDHTBePfWl6qaO52WYrBMMnnLulZ6TFH14egOxbTfZzc0/gIoTRAeAz/33TAXskki33Ux+nN7i/lNv8zNJkJ0TZn3re85jhWuLdZ12kuS08MEcd75nqfiZjDnZ9ZPB3yd28VSwIcnfNV9A+lYkqJ/Ul1z/+sZiBL9wA1mxjgHv5lHUKA7Z6X19l4/1+x70P59JErWxcvZBPzNUA8/JtwecPwkAurlM9T6rbVUwxAN3uw7UAvQlfU6yyCySSpa1w1anUAC2FUB9YyrQfI2tb/zpYUnR+L/m7/v5Ynzy7jIBdPNQSRuNmeZYK/GtZ9l+RksIAJ5P6X/71x+ar85k2fUc2Cowkj4ovBxJc3sMMlas5JU9F+g8ewZ1XrUvOzA+8ebXzZ07Xm3VuS+m956nLFWRAVpLbpFIrZBDn2PRHDMkRjtvtgkSm8wNsc8l6pk/1YYrIWq/l05rs/lOPFnnCuutyfSeTOwzUD7Vx+YyCS9nAH0y12eSu/YC0h+e5xvMPhIZTozzWT/A+mSW+z7Z53fKvO+YwfRYn/sGnFf+3j/4J//6As8f/Vh5lasNrj5w9YGrD1x94KnHsA0eeQWucrXB1QeuPnD1gasP6AMFl84getng80V5BtvOL+kCCUBxAQ7Mb4FT7CbA+gTPFfsrkGd74LyAoP0VfBHMxRA+M4UmU30GgXniYYsUpJl+lkcA9plPHsxuga8CLn3Huus/QaoKJnP1KbBzF/Mc+3yC0q2vvtNTVGBIG2NlCPhWd0zE2IkYiQV/MEaBbottN2TVBY7vknDHRhFUw3yZADpJdWwpYBYPW2DZlGAHonds0vMH83xLmh7S7bucmXaY850Lls2SY/zQjSnJY3ZKuGOl8Xgl8YrBZd3aA8v9rsSCs2R7RQKEa77+f4eC50oA+vRBB1wBfIHFS678tT8/pNnf+/p3D9Y5xnZA8T968Zvrv9Yh9T49wftcYOIG9g6wfHukYwX7b8leb0b2CgpjksZYf/kGhmPVYgcDVYG9GMUPsF63DHe/SaF2vp0P8JRse8uqe9t1PljUvOExy8g7F+TGXu8Y/ea1KdkFi5YUqrKkzbfCxOH5vM8NMIgltiwlXrsxoLHVz0xrntYHYF5wfficA3Tbnmw824rqiI0MZHZd+LAf7Not8U6eveOT1W/9CZb2f2UywGrj2oc87WT6O7Z2Jj3fOjzBKWLoH9qx/0glSw7ounbefOyx3PvN33UpBDRebbWDmSRCxl17kY4vmQIbvWcFVmpttFQQAsq2hHvjqWQi8vDtI/AlCfdY5gHl9U1s584bgN7/ZN4r9fXWDcCpTesfte/0Zqas0n56lvR9Pe/u3+Tbgf8B6iWU1VeonlAZAOwtH+d7n1p1CJzCQP+Vex9b42fnh0lbXSqt0zG1nYSv2sT9UTsDO6g6UAGonSWNSPSpDSlRdF0kJqjjklPfgAoQHVCOqYhxPp8/lves0ec6h/ZDPcP4QtEBoMXyYCZsANyP/4Y8fsc9xsNnP3FTWtmKOBPMB+gD2yWtAGAlDgLOpzy7hL3p6QykJtc+fbXn+hMwlzA4AXRKPxOcplLU8rMM8mSnmwtJGjQ/A/iv89z/9Sw3lzO/dB3N57DPSa1LkmDnI4lyHn+y7M0rz+xj+/dJIl6i5bquXZut5nFYIGw5f8mZfbKxcU8tqx0+5zvRwniu7zofCgOTgTuVAWaywxmEA6D3CTx/UgB0Zb7j9H4TgG4+3T1lvuhaSkSQzDoTENgKmI82Z2X9RP1I/3IfANAbiyUx9QyqzMS+xoXGFhZLriMv+2UL9Y+fX/81Zjbvah9LBefT3177aflhRbL7oDEbIDztijpPikreU6oDYJm1TvuVONXYI3GE1VFtAZTu/HoGJNveM6Miybd2CUw1f650vMZvzxJy873fsJegbAZAP8vrz6SXszVF40TPJe9pVKvYmGDbHwD6Tjg7APR7n/o+Frwk88NjfAPWwPIzeF4b8z9/ALwerPHphz7Z5xj7E1QH3k+Q/QCoAdj7Hp9S6tMr/QEv8s2gn1LuExR/K/Y5BvpcNmXg+31mnV/M80c/Ll7laoOrD1x94OoDVx946jFvg0degatcbXD1gasPXH3g6gM/iIlekOkuNrrPmX0PPJ8BRgFQwVIy7pjnU8ZdkGTK4pGrm1n2BUkqk2UOQBdMUQcgKYa6YIqAsMAKdkLLbTO90AvmFKwsyFIAbDJkycwWOOocCrK0rToVNHkYgF4BvvJAx3IStBO46//aZh3j2X+1gn7Vr3qTH29ZwSr+fStI95kbOLWkhQf7hNxi7YDZMiXcO95Zwn36n1fIqAvkd5yOKfgbOBCQFmBSIHgC575jL5JT7DeGOlCDRy2wu+L4nTtgAgDEtz4gCCNosvAmE73AH/lTCQUAAhKzkgtm2wDP+92nALVrBTyfged3mhxhdT4D6ED0yTaPHUp6WUCYxHsgcsBiAGJlSYwH7P72DXTHyp5y6AVtSbZ3bYGkpMsxsakX8LHmp62emOcSR0g/T2byCghvMLy+Q8J7JQlsJleB6CUD/dqb8u0LyI35ysN8M+5bp3sPOHZ4Sm/wfHrIS0QgLQ40JAPOk3qCu1PqHSjHZ7s2Id+OVY2RLUGl/VXP2gKDG7jM61o7tk+ywZjxroU6kaMG5AKpSWRTBOD5PcG9A6D+4I3tTLmg+gYG1I71DSxvTPzaPfY1uXEJBUva/fXvHIA4EJxce8cF0i9J2902JFx5r9uvBAQM+AVCb89tku2SKtwTmOktr28C89snZrq2oqQApDdOtZy1RSDwur7PfW6x+QLQybjzP+9cCvgD0DEZew5guALRAeULoNnS0K5L67VO+wUMr/Md9x5g2DVvHHWNezZJDACgt6x6VK+e3z1HbEOqt+PwPZdksaTPY3W//KYvLbn2Pt1/1CvcH12LNd5s6f3WbcypPY0dkmqckz6JVY9RvJ4ZO9kMsHn4VdfXn/3EkcRirDLeANerHxl898a814ClkoCU2n0Bejvhrf8x/Enn6y9rHvCBG8OVFPih+vDCDZQFYAPLJgBsvgFwwmIGIk8gcSb4ta75CuAKgD4Z7lORCBBeMY+bgD6lHetItJzJkBOwlhwJyJ4+5P2e6jOOAzRUAOjNpSb4Nj/NHyUNzLrMOpGNP+6tbUXC+1oiCjUHNg4rSSK/582+pc6w1Bz2+vYnSaJjkYmfUvzayvWYUtd3gecV7HPy7U8SA32+40w/dCz0xqoA4drbPTXngtPCZ6pE6Q8UH4wJbd81WoznnbzZ3Nw9K8GV8gbp8JnoZW7fvsw/zbsrlJcaX7ClGz8lHx0e4tvjm5Q6JZIlD7/HBYkhk4HevL+6S1byfCRnXt+d6lLHvPndL67+3DYSuXqedA/3blI9q1vrzwTUSvWR3LgUUHZSg8RrwPkaxzYIXL+WvOrdsP26r6mLHUoiz90UByTaeqeT0ABAl9Al2aX1O4feYec78FRoA2wDoCsTQF/y7JvhPVnhFVLr877sk6T7ZJ4D6Q9W+t4O4/xclwe8yAdgbrl6TXB9gt5Tkn0m1QPV71p3Auh3Md37/TDm+aMeJ65ytcHVB64+cPWBqw9cfeDpx6oNHnkFrnK1wdUHrj5w9YGrDzyMdTr9Au9iogPCBRN6Ib6LQTSlIq0/A6kY1dMHnQy8oILgjgz7GRQk5zcDwnw3288Mep6DuIKqHWsGbVsu6LICJiNwXhB7yTxulmtgSwGfygqQniRFf5D/OUY3APbsKwpAV7AQgOUFdci0LxCkwP6vvrQCVnwHCwQtsH8z3QT3sJpqgzP7vN8FoQTSqmvncWagTx9yDFdgDdAsIPxvv+tj63Oyz3mgH7LbGyRqvf73X8AHv3bgOXn8PhdDa4N6PNBJPwoSYsALmGOhA88LqmGck5s9+8MDz2eigQCgwN1koGOev9ODQvmgB6An447tWVA18KrAbZ8BVNjnAZuk2jFyA8t5MhdY7b/WJzkKROc5jo0MJCeBDVxbjN7t5w2IBERjTgM4gcStBwgt6DxB0Lbp2ILFBbSB7QDt7vHOARt5ejIvL+YNoPNxJxstSM4bnp/34TE+fN8B04B/zHAKEge7dUuxT0lqEtv1fyzu9g/wXTKv+UC/tFnWm0ne/gJpJaAcjPbdxktufAPjjtPYQTIfqxKIiHUOvLMN32+KFBjA3acA5dqEykdtRq6b1D+wtf5lTKM04N4HVmPMaSv1kGxjuTbFsgfo84GfoCifcPvltV178p517gvE3bLubT+ZyNro8A3f458kIXVt+eobu680lgPQASJ/9u/+3QF4B1J3j5HdXZLmL339YHjzyDU+dh0XszvQ+H2fWp+SrliCUEVoHO175wZAX8Dge25WHHzil4T/ljN+8Xc+v561PaOqU8/eniOdY8+g2g34j31Z4sRMWqjfdh4vfuU/HOOHJBcJFyT3JUBIlqituyaSufhQu5eWnckA0D1DJVMBKHs+LM/g7UeMMU6SG4heexiDAGrAJ9YGFCHcP8s/fftiH2PZZqB3beYzeyXy7WSP6hXAJEGs/9ayrTDROXXPAfynDDqQmMLP9PM+S7sDij07J6h8lgmfc5UzC9R3IA92tznaXSz4/pPgOKXWgeWS4IDoVIOWsszPP/eAjDvQXNKd5//ZW30mfk7QvvNTb0WdAPWtJzmRGoDxju9ypevep+QUgHvXmpJBfRUIaq7mGuunSyJ8J09or+opaaH2lZhpPjpBuMmiBaAD/cxbnyQAvXKXlHvAqvk09YD6iOQIffpsXSS5ZPW5933qkAQ3/rj2klwCbrtn1/i6bV3qAxKePCuoFOjTUyHK8atj849KY2fPxD5XctAemz1bmweXJNA43HZLivzeF1adJPtioE8Avf4laUzi2lIcevH/WMmpE4huX9rL8yfwvNJzoPV5qdevu6clD5Nwr179Xz3tf1mEvPcjRwKM98CZ0GD8MQc39kjI7lNiw0xucL8doPkA0Dtf1hutR4rfe6p32gmgT/A8UPkuCfe5zmRlH8s2eD49yu17Jr4A3K17/s/205v9YeB2deV1rh59f0COfWzzMKD8rmWT1X5mn3tHusDzRz8uXuVqg6sPXH3g6gNXH3jqMW6DR16Bq1xtcPWBqw9cfeDqA/+xTHTBtgmAe7E/y7pP5o5g7Qxo9P9cdheQXnDnnDE/s/2npOYsZwD/DLK3DxKeArQCyzNoi4leAFPQqYAOBnplsfTu32RXV/D0/Tf/w7sA9IJSColMLGae2RguZ/Z5waGDhfGeV94MxH3mj4/gz5LAfekrK5DV+kkmLtbHXq9AEGZ9gSRyqJOB/lYAurqSbhdUx7elIF0AACAASURBVBYP+MEK5N0rkMizHOBeIdOu3TDNffIOdRxs+cnEaTlP4clCx+7jdzgBdAw1YHmffOvX9x3MFzCd3ud8z6fs/iwTPCfb/k4ea2Ogv+fFL/6LAHSM6UCrJRf6+ncW+Ao8L5jbZ//xLCbvLtirYJ3z71zrbaCQD3b7DgQCVB6A5wa2Ab1LNnzLXGOsk1FeEtobEMUiDtRaAP1ev7Jk1TfreAHl9791SNADY+vbfG2XjPcOePedR/ohG78B9EPi+bU/Wfvre9uTau281QmArC4AcqzsmSCAyQpkZZewwNI3/vTwFu/38iQdYPVUiVDXCfIBk0m/dg93PwIJ1z3Very/733hkHLn3UrinNevcWCeFwl9ah61R+1Q/VwjYOlMfGgbcv/VnfRq12opIvzO146khP6fEu08x4HgPMoXY3QnRa16vvKNde7Y6tjlfM7Ji2M/d1zL6jvdB64pFjzwXQLBqt+9L9za5P2fPdQ2Fqj+/JfWuEptoO0CWgDojeuBPh//va8d43sJUwEXnT8QAIDcto2n+kfbkiEnUdvytm3dAIzFoN7y4cDmrhWGM4BI8kTXaO2v5JbnPncAi51bdWu+wLtXXyC9X13J/LvOAJvWqW4SwihI8KuXhAJAN15IaJGwwB5EP+6TesqRKPfejx6A83xWkge3LECKpHpzAwkS6/m37zvXW2JBnxJ23D/VFbt8gatb9aFjkA92/x2A7JYJX2zlzVrueD1TH5Cift+nDnWaaafTs22q/Ujck1RobgQwB1hPEF2C35Run+zcM4Du2GSIrWeuNxnpk/ENDFZv38/S6V3HPqdNy3kd57YS/oZtj+uKje8YgChzQwmb05LIXLbtp3JR+wJ+m8es/vbMba4i4dC4LWGQpYGxqvkmiwHXmax/5wpk7Xiuh7Z3XWpX4HqfU+5ZYmzgeffn9D83b32SAPT5fgNAf9evvfbvK93TGP3TEsB88KwQ5d5g8eCZbPyZ8t/Gl57Bja/m7ErLJAx1zVtfn3bc5qLNPbsHjZ1rvP/8XxwgN6l2igYsOhaDms3Nlv7HrAaiN6cFoP/Nv/V3DgCdOojx2Ni2rD7GeFNda0NWUiV09ZxqvZK8nGff62sSUOtrzZsxwfucxf1JoQKAHihrzq3o45JyajcMdIktkp+67zDPa7vmrVO9i0rRlJH37jtZ4hVA+GSbT+n2znP6fwOTbUfSfcqwA9QPVjiQfL8Pn6XdK/MYJNUnQ3wyyfte3SbYD0if9ZvlDKC3/owLHF7qu56Tca48DDx/pyl0XeVqg6sPXH3g6gNXH7j6wNNvSxtcDX3dbFcfuPrA1QeuPvCOAtFJuQOxJ2guCCqogA1zZn9bb2buC6wGnBeg8FmARdBC8FLAbwL1WDVTthJLHauKf7o6kDPFmBAIBa62fLF7dinowuu1YNAKjMV+3MFPoBI/0gI2BXIA6EDoM3heoJIMoYBQ3yuT9VLQDLN+MePJvG4pxenjF2jT94J2nU/nxXuw9VdwbktDkmad7Jb5WSCNV3v1BSKvoOwGwydbHNiDQbnYnM+/8aZv+Waf80wk91igmAzm+r59z7H+ZlC/tplMeMzx9oUBWNAQC/AA5HeQWZBcAL8CGBBw8z+QvvMm5Q5Mt2wC5zMw1L3zTvM8fxgDHYDOS7jPCaAXwF3g2+f/Ynmc99n//9vn/68Foud9HojesgU4/vafHXLurQOAxwIvKNwx2jcQbAFeL3199e/61QIaY+nufnYwoj/81QOALghK3pvMOTBOcPRICtgANeCOjPqSYt++s+1nMs/Jsrfv6lnbkPImIT89zANTMc2w9jHIeKi3/7av7tjlGOikffl4104AbFLqWNr80DvHElmMX4Bz4G3HW2DkBi+BtUvmex+P1DgJbEkJ0+dcEsMBsm/2OjYxKVkAg4JBXvuRrSe9zh+98wSOksUGfrf/xrvOo/9ry9oUmAnYJN2u/yxg/v5Nbh2YtTy19xjWurH6GoPaT7/bt36hz/Ba7/tiPW/pfvfIZMFTVdBXeXbXXhMkNWZpT77xgRKB54HoPYew9BrXMefIzwLCj4Si7ftaP2h52wFWeN0C4fuknLBUCWJJ7/7PrxlrmlR154LlqE4kxfuv/RZ071kCxO7adI3XtdvXSHu1jBpEfbg+QIK4/7t33GMSOSQz8JrHRpdoMv2neQHXzj2P1vf3vHKAZ5OxaBkmI2sXz/zuudpFP+i7hBvJIwBU9926Z97/2UNJYUlyv+9Tax89u1fSwmZQu5/WvbtZsu71pTrjOZeaygduIKBEB895c7IJbJND9nydc6I+rWtONBnoPSt7FtunOUtzsbm8Yp4HcAKgTw909QOSm7tNhrnfMxHOtZrfV+Jl0tLP3JRryLOz86E8ZK5pnbNUvXOZqkpTMn4C7zPhcqr8TFn+6tSYSLKdqhFgkwoEb2YJYMYGSU3t39xoKeoMhZ3J5J/qAMqUcNf2zbUD0Ls/m5M+6QA6lS1S7gD0yvQv955wVkdwv+iLJTpJfJpjjdI+u64SJgDoVET6zsKldcjJmyuf5+XLZ3zPM8i3L2WOnUAKIJf8s6TedyJU44g5MiZ2fbe+gYHeO0oAesv5qbPnMV/o2QAM7zmE5V5CVyXgPAC9/+tbzrPfvY/0Hta8uXm85NyeF545VFOsS75d35VUrHh3mmMcFnr3ZNfAJ6n+2gBY3nkmOQ9AJyVvvGU3dvidTwB9e4kDiM/+54rlCyg/gdrA88k4n6Vzm9LsZwDdO/lkegPPK2fW+GSGq4t1Aelnf/OHMdDnsnnsw899AOh3gee9J13g+aMfG69ytcHVB64+cPWBqw889Zi2wSOvwFWuNrj6wNUHrj5w9YG3CjIVKJsgOhb6BNJ7qZd9DvCeoPoMfE4Q3e/5nSy8wKZ9TE84wPvM1J8y8XcFiQt8TUb8lOrEJhIEFUDGfsdcEJQGoBfoKUBPsrFAy5IKDfjdfoAFh6pnQZS75NsLGhWoqA0BtwLILcMcwnruv/a7mNqbNYdhAsgvAAdAB3xgo3dOpBdJv/J9x7SeDPTKwzzQrQNAxxh3fGDlYtW996NHgHEC6NoW8w4rtQBzBasHc6xApcAZAF09+o9fLfYfmV2SrhIkyGHWzkCDxYz7uV882n9KdALMp7+56zPBc57nk3n+Tg82nwH0BeS9/M1Djnx5Om8gvODqr//BXy6p5QDMvgcgtr51WrYYo/e/tUD0vgeg8z5vncAx0syth9mNlU7SmtQ25jm57H4vgHWrRNQPli/1ZvViW3ffYiiTTAdyt333T30ZsAvIJEW/2Ou//WeH1zv/ZSAaYB2Y6hxqE17qbcNTntd12xbMXYzcfU6OD/jGaq6d2pdAfeeMve0cOs4CjPmlb8n1w2N3JyeQ5sZuB9oC7w4/9OffOKTmA9CBAhjnbXtIeWOkDw91QMPyid6geu3SOdVmZM4l4mgrnu38sBcrbLerhInOtz42ZfZXwkIs781iJ83O611/ql6uneSK1l9qBrv9Abb6Aon3tun6keSXWLFA/u1HT/GAFzYpfmomjYHGPskIkkN4txfcDzwPnCCv3vjYWD5laMnZY9FJtFpyuB/4/AFOBDYCwSVWAINXosln/vgAzGvD+ku/28ehVrDVCBaAvv/3nKyu1W35fQdEvPeDCyhpbMcsXyoHL//RGge61uue2GB6168+jqUZCN82+oR+uDzEN5C+2J/3vnBLmnn+jXVtFvvzg9sffCiTUI0BpC8FgPe8crCJa5/JSAWQktC2vyOBZbPwZ6JKv6d0/FJn2QCbpJeDGdqye19Y183zrPp0nryxSYRLcKGwMhnnnS+1CWxo6i2ee55vEsjMjSaYfvga73XMncxRFAB6hSLQmYVunkc5aFrxzLmaOZhjTgY7QEw9W05dhiw7ILzf/Ket03yFHH3rSNDEIsdyv0vRaBZzyaXCtBP8DrWFfaylIpDs8060IOMuOVASSX1B0tKyGikxctvQANmp8bCl4aVNatxcaSo+TSb/XdcI8Dbl25uPSu6c89QnCUCvzHebM4geCAxAP0u4u+76D/9vsvxdV0ll7IfYllAz6Vo3jimN2SxJjufz9kzv2q7k0G0l1HHXmF2S3+vfOUDt5iTGSc9ZyTkk3KnOeO5KbO08O6fuxTMDvf4tKRd4DrDvs+dQBSjeZyXJ9qXU9Wuvrj7Wp2QByVztu3lz/avj1fd6Rkk2a732sWy0nnv1AK6nX/tZvr0SIGydaa9Q4XUvkYyCWOfCeggbXZJAz07e6VMBbfqfT0D7DJ5PJrrvWN6AZQD89CifXudTvv0umXZtw1+97c8M87vk1Sdwfpfs+g8j247pPv+bSQA/DHj+JIwpV7na4OoDVx+4+sDVB64+8PSPrA2uxr1usKsPXH3g6gNXH3hHg+jHy/4IJgC+BZ4Uy2YgFbBtu4LrZEX7zh99ss1npr1Arez8yjnweQbuz3Ki0+tSPQV4geiLWbTl/gpgkk4vWF8Qhnw7FnUAMTnEgjxnNs9kdGNzzzaZ3qCV1jlYWe9+8QiUk3MtaLdAnA2qYd4uRshmWpBobF+djyASCVMBusl0IRdZIA1rvnMi4w5AXwHcDT4EFvCP5n+OASOxQMAXC77fAo6CyxM4J/dOar724kGOhQ4UwGLv/LtWtREAfTLoBJkFlfWlrtdkGwHItQfwXPB/gud/7x/8k3/dPfIkgeeVzuVjX/zmL+SD/ksf/dr3AOgxygO7eJcDhkm0F+AtMNm6fgPJY6n3G7AOQAaaL7Dz9e8e4PliBg+26ZRn7r5bYPoGzwCPJMxJhi+f7w1YAl7JKQPLyYUfPu+vf2fVoWNhUs/6rPoGQL/8zbUuBjvgv20WSHj/jxYLvO0L0Bb4niDgAttLKthgLJDQ+fMj1waA25Zjns2EgZbxIDcWkI2e0sHapgK47njAvgMk3ccHhmMcP7DdZqFPIBHT+mBabpAdoE6qWF0wwLHk+l0dai/tX5C7YD4ZbzLpZO5bF5Me81/ywPJU3/VobGjfSy1gA1VA7SlPz5pCogVpfizjzmcqJUh6qD4zCaJ16+eNidMyoHNtvcbDxr7+XyDM7se1tWsX4BIDvdL3QItY6Y3x7aNlGHwsR2rjzj9gozoHDi2W/u987fBblni0kjp+89Z/sPCWVcELX76B8vdv12WBgh/+6gH2sxBYagf//H9f51Dd8mcH9HXNevYsBuUznzwSTkjyk+Xn/d0+2Rtgw7tHecpL2GiZ/tgy9wdwWp0BytWH1zgwnQ81ABYoigVOvYRM+JK/34kiwHLJbJUjQWffF7zL3UfVs/MAprasdlOnVc/hzQ4Uo9DCHxuA7jpiyPdJ7h0gDZT2fQLkAOnmCgDCCTYrE0CfABaQcVrqYJnPpMXJ7gboT6DSM7p9AqsB6a3TfYIB7hp1rrOeAHbJA6xaKtNGiCQzf+OpROO8zuxjjPyWAfcw2uvr9RXJiWS7fdYfunauqcSUqUohUWrKR6/ruZnM3QcUFMh8s8MxTzyD5hIVpjrAVHQKPO/TXPUMoj9pAHrvNnepbAHReYPXF86KRcu+6Gd/ef0HPOdfz8pEktSRKLPHIcougc78wRcgvRU/jGH1i3XPblshc8+OVx8ip24O0W8KIvWPmWzRp+8S5VY/HEknlK7OAHr9wzO2MY1CiVL9Y5s31v/KvY8dSdDkyOt33SNtx+e9+pF7rx86ZiBubcAqBcgtydcYMseXrgMgHUA9E0hs595crPOk7F+4jdudG0WiroPiGdpniWCUKtqnd9CzndgZQJ+lOk4g/SzjDnDG4J7LJ4A+md0zCeYMVgPksckPlvwGvjHNz8zzCaY/jGl+V5lg+iXb/ujHt6tcbXD1gasPXH3g6gNPPWFt8MgrcJWrDa4+cPWBqw9cfeCH6QNvBaILIhSAwww/e8RNqVBBSwFJoLag5pR1x0S3bHrBTQb6DAr26btAyvQ4F8x1rMmOJxvf9iTh1aOgKP/JSuADEGh5yW55Voyxyei4i32O2ROYwOdugujOAWAsGaD2CPQuCAQgDmwBbAEDl6z7/S8d8owCQCQTO8aUJBS8fisGOsDfOtjnkguAScBLHr79T0YWiA44x5zC4LHuBCumVKY6As+Vlhdo7Hi1A3YeieKYJ/Yxg+OCoVOCdrLjOt8ppd+y+f8EzwWYnzQ5wuRO80EHoGPX8jfHPi/wyP+8Qp48IDx2aczgPvttu+WD/tqfH98B8yTeAZL9h/Fbv6rPB1pWFmi+QU4B6ANs3lYLmLySS0isY5sL8HaMJX2+meGkwq2L4d7vxZK/f5MVX8zpvWx5Yf/2TV66/ws+t10AKwb19IwvkOv3AlS3n7M6AO1JmJOjX4DtlpZvHxjnmOSYwoLotctikG8p6AXEbLBcUkLnDjAFwPd/4L9j8Vyf7HIMygmik0F33GP5TvQxVgUsdFxgfHV3/oCBgtyLNbeZ3KwEaktJCAuEf+3P17WtTgCoxdIfnsJrbPjQ5w6WJxb0lFpfSQAvff2QbpfEMH3VAbmSI/Qxy8izr+u15e7bRn913Tr+lG6vtG5jGaZ+2zTWBljwQOcr27LGt84RK73+TJFkscF3G/DrnpYfGOLsE4AJ87P9AGf63vbVa13/nagiUaHxu7r3XKx+nU/XvG0Lrjdet0xySdsvBYLNzqYQ0P6MIdWhxAnXvv8lqOgrC6Ta92ef1e1IFtm+9gfb+/2fPRI1JKEt+fb3f3Y9cwBLWMyYmpXWlRRwPGN2nyFr3+/aCOtdEsRkha9tA+K3J/G0gQGoA/rXfbTlwA+gfLP+yc4foP72tG+dKb0O/J3y3pIaAa/mSv6fSQTnBLQ5z5rPz8kyJ3lu3qUOiucpFix2Lwa7+aXlc742AXQy7K5bJQB0AuqS8M7zvfW5gfZZP+cHPD0D6Gx+9IuZWNG8qntyJjN0vUn5A9ONeSvpYifusJcwji+VkOffOJbrK/oD8Hz6008W/UxysGyqOpFv794Emj/pDHTlrUB0SgJL8vvep47rDlSfyRvuZ0kRK4nuw19d47jkCM+2xrJY5wDoxrXGWQD6Umk5JUVUWrbUQ177k5v6z05I7PsCnl9+U27cmDXVKtq2/S+LGIlTu79OtSUS7pWW81mv3kD/6o95Xt+htNX7Tv2tvuUe6F2kZ0f7aF/GLMpYAPS2kbRFfWEppux7u3tPPz4X4Ll3qYrEHLLt2oaS2LIY2b7xFE7uAtGrg0RqAD77g/lu6r30LNd+lnA/A+hnMH2B2SeZ9rNcOz/0mVR+BrLnPie4fZZpP5e7ZNnPQPqUeC/xZkq3Y8/P41+e549+rLvK1QZXH7j6wNUHrj7w1Du4DR55Ba5ytcHVB64+cPWBqw/8sEGmh4HovTiTcJ++6GeZOcEGoO0M2AqWTvn2WbAaFhNpBBFmAGGyEgRvLTvLvwPrzzLy/rc9tjoAnXfeYqFvoMr3yW7D9urYBRrO4PlkcwfAVgRqO/4E0Mm3C3AB0Avo8K4FThUUEiDCLD975An4kJefSQodb4LnfX+YhHv/A6wL+HfsgvwBmsAkzDoylAHumCeC3bw7lwz8DhpOf1NtCcSunMHz6nP4mb/7xRWoLEi4mCZbandKwuobZxnZ2lyxTBKDMpnpXZeuXZKETyp4XuneB6An4x6IHoCFTV4hgYmJ3vf+B4gHnC+G9maezwBwYHNg8GS0r+1e+cYKFk+2NxAbeA5kLlANYCDpDRQFOANFsbYwnIHzgNvqwodcn+47sK/jkDINmFTXjtc6GPfqAvQFBpNd519Kwp23KNYvFQdgtHZof9UJSAtIA+a3Hgnv7kPezLGFgbyC/Bi8wG4qAP0m3f6ATD7f882eXazbD90A9cXM3tsAmoEGQPqWA4f4iy7weHu9F9QnpT/l+gXeayfMcsAoVnnjTvssIA6gJeWOuY8BiHV+ALa7rpN9vvreToDAzO/Tts5nAbm//WdHH9RHq98CUGq3WM5b2r0CDJke2cDcxkBt3DWrP0pMAqAHlAfABOCthKqP3GTTASlUUapndSRXS8rXZ+0PVD8sDIaEfUAJAESfap3+y6qhtloy/hs4ap+dS318+VA/88nDv7z9VN/GbGol+mzFb/unBtF/tXnjCuWB1Q+GKgXlAOxdliD80LHDAZbVl2KDZC4JXQsY/cDtuQUgm0Dy8tPejOL1eyc/kEr+xb3/rgXwcwGez37ikLevTy3W+LZTwEi2fsDXknDfz/V+Lw/l4ad9JDBsBj0g3rxAIpqEPiAUUBsQOJnfndfZR3syu88A+GSKm/MA0M3xJnv0LIvueTtVYdRR0uBZQhuQj4WOoe4a9Rugba7hus3kAEmV2Pf113l+khfPli6k7dtffYTCTZ++L2Z487Ltxy5JQ7Jg/XSyz3lTU+iQ3OEZ1v3Ck3n1tZ0A1P3U3KrzlzxAGcecZlrO9HlmrlJ7MldtzjdVk55kAN385i4QvWvY9emTyoB7qmsMgGb1sBJl9vgzk/0q5iEzQQkLPZ9wUu7mFCwAli3U/s4+pv+Nf823PGMl7kyrB+pUnps80gOFgef1z+4D9khnAH0BzJ+51bt6sg8pQao+I4G1dvHOJhGn763HWqS68pjnu957UMeqL3ZuEusoL9S+3tWMHRKpvcdUvEvN950JoK9Eh1QhnrslIGOYNxZTQJHIQPGkZ1bbTrWKhwHoZ/Y5CXdgNe/zHwSgz99nIP0BYHqcJwB9guRnNjl59zPrfMq7q+PZ03zKuM9tJ7Devs9M9Mvz/NGPb1e52uDqA1cfuPrA1QeeegLa4JFX4CpXG1x94OoDVx+4+sB/TB/4YUD0CWwX8JhBhln8J9giwApkB7RPL/TlUz3Ac4GUs5S7AAfm+8zSP4PmjjtZ8AKl0xudr2iBl4KZgQ4FWXgJ9ykoJNg6GegCUkB0bI0CPoHRpAErBeoAt0sm/Wd/+ajr4cu+gXJsij4LivV5SJbu4DRpwApZ/AqZee01kwYCu8lGTgC99VtW0HZ5M777xUN2dDLQAXMFrRYQ8OwnFhtFMJL0+wQvsNTPwWoBbKA1FvwE0Pusvrx1F+u3pIbtFYo5tGQ3NzvlLgbdDN77nDK0riu5yyfR8/xcSggIQOeDDkDHQCfVXnAXIyoAPdC8//ts3cWYvv+twyd9yZC+/p1Dvhzw3D4CzNrHktDcIDWpdzLa9TFS56TbMYAxvgSXD+bqBuzaD+bxZBg/wDjf62J/t5xPOb/RJU2fZPgG8zpHgB8Atm0aK2wDcAfCA1zJZhekbt0lRb2lyAH7jo9tj7U7l3cvFvjtv/axvLcDwjebfwGTm+kOYBQwlmxAmhq4bN3FXNuMfqzjJRW+2esTmJS0YD3ANDlyKhFLznr702Ngkjh3LTDBu2Z9r60qkhuMxdWPdzrZdYoBCzzdnwdoff9mNxFQ3XYY1RO8qixwf1sLAJf523Y9Fyvw9e8c7PyWzUQPvrT14Y7RsUirayO+tOwseJ/3vf31O+Z5gEslkBwI0nr8toGw1DiqI5lhYC453+WXfv/mT475V9/pe30Qgz8AhZf66t8vf2WBIu2/fUvKILFem8VOjCXfuq/+4V+t9RtPG6sDdlg96PfLe33fl/1eigZbuaFr4l6T/KIPGBPcD4cKyrYBqG20b+1NVrn/ACs9H7A2+97ygJuZzAWkZBPSs4xPOfC7sgDS7WNd+/FHb73FhNxM1SUXv5nmQPD22fkvVYCWbfaq68vTe3q4n73c+w6kmvYnAOXpHw4Y77kmYQCAPuXbbTN9zSUrAsuB6EDo+WydwDWAfTKkJ7v7LPUueRLIDxSfdkCzzp17n0Bz163vtgH4OW5tZY7VPOAMoJsfTLl7gGrzMcfqGkhEqC+w2+n6U9fp+vRdP5gqBmwlXEee1Z5trjeJbtfLde07AL15zmSgTxn3KUXdnLC5+13+50+qhPt5ftM55cfcu02JggB0cuwsh9b8dcu7uz+pTMyEiPW82AkRnrsS6TCce87zBQemN0ZKvKEy4V7v2SPpcM2zXv/OkXTXs7vtGnMacxvP6/P6UMsblzv+Gme3pHvnIiFXwm7jszl//ab9VsfqxzYEA1qSwWJ3b2uF7tf6V/Px5Tv+G19c23fOK3nt5a+s+6L7Dujd8doO69v4xRLBe4nk12nbBZQmG+8dsP7duDNBdPcoFRXznsk+73vtqq5UvCQZAK/nuy15dSD12QNd/QDUU+59+pyfweez4trc5gEp9yH3fpeX+dzPXH72Pp8s9B9Gun1Kxc9tf5Dn+ZOWZHyVqw2uPnD1gasPXH3g6gNP/0jb4Grg6ya7+sDVB64+cPWBd1Qf6KU3OedegnsZ7qV4guheuKcUuxf9yQCf0u59Tol1MuWY4gX3Wn/uT/BVkLBj9nsGGgQbfBdMPHvjTW9OAL1gDbaTwFkBGOyvxfLjM7uZhoECpDQFLbErfhCAviQaR/IBNgjwFrAPaC6oJ3iFsUa6cQLogjm8LiUoBGbXzi0vYFqwTCAbI6VgU22m7pOBHgC+JNmf+eQhv0w2W7CYnL3kg9rRvrGmBKKnv6QA9WR9Y8UDr88y7hjxgIuCYoEl2ql2WR6oOzjefqZfKznbKTcrwK//ti7ZdszzpNu7F570oNCXf+9zPzEBdLLlBXIBYQDzA1j/9LcPRnr/x9TlFY5JBTxf4ORrNxCeRClp0+WV/Pp31/8FgNsGSAfg5nkM8K0PkoVeQWOS7ft39ZiM5NVfNrBMSjXgjk9zAVey9QXCSVk7D+fmGIGoWOwA/MYMzLQ++cW3T2xurF8sdSBm9QHKdnyMafLg/LlJo3cOEgMkt0gC6D9sa2BzAXX1w+QnSz3Z8MBkIORKntkAIQl3+5bMwKucvHvnI+kG83oxKzcYgalX+9UPllz4BtGXYsGWRsfwm1LHJNGX9PlmJ9e3MOgBtI1JBzPvlW8c45hEAf2r42Cyt67kCX1LW9VPXafOv7piEJFE2AAAIABJREFUowNzWx+oKvHqYJruawc0MX5iUXcdWxaAHgM9MIMMe0D1Ant2W7Rdz6GSAnouYadjSUr4Wmz6zVYv+QpDELu9JBcy6wc48/q/PRIZuj/bHsiE4d2xAu+rI6n5vlfXnsmN3dX1SLr5zS8fUvy1L5Z77SpppNIxuzdqP0C6++2wONhg42Lwb2UUIPRK4thtgPG92vj9n33ATmSxi993s/wACB/A8rtfPMBOCiodp7nBwQ7eqgw82LHcp08ysM01Jt9OyWUlAmyZf2Ar9rK+8YCH9mSg7+tdIWPMOoUlzZR1nxLtU61lAu4T3AYiez5ihs7/7pKKn5LuQDZAe8ur15x7mbtN2fYJXlt/Hg8L9qweAEg/e8FXalft4rlvHQD6PB/H1261P/Z544iExpi3fa6xcie6tA6rBmMr4Ny9WX95gElMqv+ZTx7Xmsy3pI/qMtu0eY45b98r5qSSTc1rmmMHfDUnVc5S7k8ygH62qmmeg4Xe/SSJiVoSy6KuBa9zsvoSIhrDJPKxiWnMao5EAafxsGSlxm9jLp/wxsPGxcbl1mm5xLG2ZWsB8G1cJOHe3B7Ab9wzhhtD2yf7jt4HjAksnsz56yvA/T6B5/W1xeK+/6XVz/X17p/20Xy8+XX3R+uQSO98qGOYh9ffOlZ1mAB651GRfAPA1p+rh/48AXRz+saGxoLaos/2qV0w9jvWZJ0rwPPqagzEMp/2B/PdYP03APTJPresdz7g8mR723b6oTue32c2+tnS7ADQR8L0BM+B63d5n58Z63eB59jr8795jLN8/AWeP/ox7SpXG1x94OoDVx+4+sBTT0gbPPIKXOVqg6sPXH3g6gNXH/hPYWsA0QHoXtzJyU1A2HJykVhFU1Jd6X8At+/nbH/B2ykTPzPxp+TdT21GwmQ3tR+SnYK0mN8CJJP1zVsU0DRZHH0vkLaC25vl1DErJNBnIZFZAKV1An4xgmagWhBKAFqQ/8xMWRKPWwa9c7BtAaUbS3oHajYjgww8Jnrt2rpY5q3HV7TzP8vOA6uX7Pozn1znDiRcAN/2SSa/OD3MC0KTc18g//7ELpvysc4feC5p4sw+rwgmFxQTLCQBCbifkvb6D9BenbQP1ok+NyUiJ3j+X/3kT76re+FJDSq/lQ86Gfclyf76d47gcH1AcLffAcsk3PuOtQ6QBj4HkGOUBtQF0BUoBoJiqGOiY7X3f9sttueWO8c25UddXQHAwOW2Xdu/9JUVuMUErx8XQCWbDnR33NZZAOpmnXcuWPABgLzM+w8wyDObBykWLTY6iVWgfP/ZL79pzDNSrEB0gG91AqiTP8fw7jMQksw1QBLDmow0lnbjGhDSuWCHT7Y4KWnA85LJH/7nkhn4U7c9ZQDsaIA/th5gHxDdtZm+1/y6WzfZdufP4759aet+tw9swPpU7blAj1jIr3/3AK8xv51H+wDW1lauW/t3jWqjJWG+z039+921alltvRIGdh9oOduNfvfcmNetsWwBqjH9Uzt57U/WPmrDAOnKIfe7wWnM5u4b16i24WmP+QoQIpG+2uqlm4S7sXNalGDjsRYAPNQ+gTqt6xpK0gD6BQx9/Pe+doBDlcbTxvLA/c7LvjufxgjqEO0fs7y+1n3KH1diCmCq3+5VYOOyEIkpvqWyjQ2rH9z7wi3hbbezRLBKwD+wecqAY3ID1zEkschrk/ZFKr45AfbwAt6e+eRav/oCWYH3EhAWg3yD/YByCSoA/wWqbwYydrvjThas8+rZBmCdcuoTlJqS5+YvE/Se7PAJlk8p9qnaMoH0CYhPmXZqLhNEN0ebyWt+myeez8Hcwbyn31R6JBtWJgN/Sr5PNr45gnrPhL5ZgOcV+zfXcV2pE3QtsdHPiY/uRUlEhzz/7rOsAIzhC8h9/jaOta9l37PnfVOe3jUy98VInwz0s3x74BjgfLLQzVV/HAD06YeOhX4kpmzVEr+XKsuef1OR6Fp5P+jerLB+oTazktf286bryx6j0ljemNn3nlONiVjflfZh/rMA6b3dAtH39/qEfVYX46tjt0+s90Dv+mX9fiY3S/rtXaD+0rqN44HnAaj1r+ra7/zP+wwkr/91f0j8pfxAUUT/7rzNrztWfexv/q2/s+rRep5l1a/3lNb1riiJtX7dPHyyu88e6BKz1zvlToDufpHM1nWarPNZ2JpIRjiULgZ4PeXb75JwP/uezzpa7/zfXRLvwPqz3PuUbQfE23aC3N5dpm/5BM8B476fAXTbqO+Udp/n/YPA88aNJznJ+CpXG1x94OoDVx+4+sDVB57+kbXB1bjXDXb1gasPXH3g6gPvuD7QC/Bbgegz8x2IfmaeT2l2IO0EzysCFlOGHYguYCEYCCgHrk8m+gzOAtsFYwRkKtg7mAvWBbbzRY1BAUDHUiiIJhAl8EpqfPoJThY6OXRsjQJCAsBY0Fjp/S5gCuARcO27wH+BIcFkwSUMd/teUqXbM/cuj/nOs7Zruz5rC+C6gNoE0BfY8MwnV10wfAFJ6knelGwqUBx4zsdUYNo5WBdAfmagk5KvjgLaBcgKHBZsLPBY4K/rVR2m13vf1Yt0P6AdM18f0JaVdU1/+me+V8E8/3EAz93v2FkFljGpJ9N8geSf/vbqBwHDgXktJ/cu+Os7tjlAHVO9z4Ka7SsWbJ95TLfelIkHtlUCpniWVxYgvr2ceYpPf3T/AbeBo0BxrK3pl953ctKA1epEvrv9r0SAV75xsIwB/AB6jHyJAkcSQufz0g1cL9BNrlUdsWz5mwNYgdf8tQEtvFixYLtHA2GBAVjNQOcpdT6ly8nIVweMbQx4xTYk31fywgb0+97/GOzA8+q3GPKbuc5fntw7ZuYCdD9+6yPth0x55ajL9p/v/PS3ygqUv/KNNTa3n9psHWdL7JL9bx1gJR/zxjWe9kBzQD35/SkRv7zmN2CubbvmEg0oc7Sc9Ltkgym/Xz2W9O7+rzF2JiwEnvPN7bwa32IGBpyQ/13JAJuFTWUBQO95sXzd79+uEW9zQHP/UQEALgTK9F/ja/93b0sOOastdI9W1+r24u/c5Ml55wbGNdaTV6ew0P/YgPpT13IpKOx7tvth+dJuKXeSxIvdueXztRPZc/2gc+u3PgD04l09E9AOD+v3vLKeExLAeF6TRgaUVqrHAshTX9glAIsiRsfzu2sNRJfY4b507wL7/fa5VAr4Le/7erLOzUUOxZWtFENi3LzKMxdQPsFkgPIEkzHWJ3Des3FKnFOwmVYwZ1B9qgCRSW8/5miHhczYt2c00J06zvQvdx4S/7pu0xd9qgnMZD5zrfZHxto87My0r06Y69oTII9dTj5fYgU5/6ke4DpJftRXAYwSUlpvjc07gYKiwkpaGf7VRwLlsKXp0/wFeN73yW4FoDfvA2Semec/Tgz0CoUt8xz3mdLcmbISO4V5b5JTl2zkeQb8puBBjt8YDvTue3PQvjeeN943NjbeL+b45//iAMGnBHwlUNuyPgPjG1Ox2s2JzYtbv2P17JjvZDOZtj7VuN2+MKibJ6dm1VheH1pA/L03feLN391X9dfahKJNx6sdm4tPAL1l1qufk5f3nqbP1o9nmezz+S44k26q21SAqE5di45Xe/JoV6iyAPonUH5moJ8l1Kfn+SwtvwtsPuq9Aez5G0g+k9Ilq1Nfm/s7S8FPUP8HMc8nuH4G2X0/M83PYLt6T3WuCzx/9OPaVa42uPrA1QeuPnD1gafe4W3wyCtwlasNrj5w9YGrD1x94P9vH3gYiA5IL8AiwMAbXfADE31KsvNCB3SSFCwI03cygzPrnxQlJrrgRsew3O/phd7vyvSRm3VbAZdkLTeArl4FiQo6AYAKThVYIpdasKWAEbA3wBUDHYubhDs2d+uQE58A85RuJ8Eq6E/+t+AqBnhBfcA91rmAV+0AFFiMjg0WS1ZwPWKTkHXH8K4OE0Anl15gPnBH4B9zDqBE0n56rJJeJ98uuD9BdPsGngti8yOVcDDZVJIy9LUYMWQx+yQxOQN9CrZ57fIr9z622kBAbsq1S0gAnk/m+Y8Dq6LzPMu4A4QDzsl1Y4YHeC/J9de/ezDNA70CjwOV+28xtTeAXDATgA4kbxte6vYHYAZeA/AxUgPfAGsBVdUJUD/B8PZRkLp7mFQ7/3OA8vQ+73/+4MBhHu4trw680AHO1SVw1PGA8G0HQA9w79yqI79vyQNYYyTKgaxTvh0wO9noWLDk1hubAOKAueoP3G/fC2jcAPYqG3glC+7ctQOQkie5RIWO2zEX62y3r7bACCfxDjzHvF9S6R/80sHeA3ZKUlifL7+pMFE9aj9S9c6hfrLA+n3Mo422CsH0gydxC6wkt65u+ou+0bKuFbl5YL3jVG/A7SGDvwHgxRh+6eu3dt1gL8/6dS4v/P4B5MbQbh0y7K578u2BKrXtknr+0OdWoL996Fcdk4c6xYPq/Ot/8JfrGVK9JW103MCW9gEID0Dg9d4++dcChiot43fef20LiK/UBuv58OwnFkjUONwxFtDxP3zwUFHQf7rHJbG0zD3c/dM1dn8EdJDyd693D0qKcN06/uzv/IwDqgJPyKCz9wCueBb0u+cUZq9nFNn21Y7Pv3F4/HoGkmwHfvLanbLxs8+tNtzJJ+qM4drnkurez3jAq+Ur+WezlatD1wdQy++3ZyX/72lR0m9y5BLJPKs9kyfrnL+2ZcDayvQ6n6xy67YO8PoMoNvG8ofJwftPfV2PQ1lmMM8rXVfzDgxWTPUp+459PwF5wD6wvPr0W10B80B34NwCskso3OB4yyYoDmwl304pYI0X928WFBXjHvZ593jbNhYsP+v7t/68VCzyWH/vRx8A+gHo0+rIfGmC5wB0rOO72OdnD/QnPWHQPOfMQp/XVDJJfUCC0xxrJSdJQjKOGtckHxovXHdS7RJ0m682VrVc4lTj35RUp/ABQK+0vMQlbHZM9pYDw63bMShSeb9q/itZtv7dvlun5f0Gngd6tz41LjYJ7pPurcaezo1NTufML735eu8oLKRW4sAbf3ob1ySdvPejxzufdzUgcX38zOo+vMh3Mo6xu3rzejd2NubyP1dWssFn/vjwh6+ekrYB+dP+4Hiv3EA2MHsyzL2LAZcB0ZMxPmXWJ6O8tn4AGB/37l2KaxjhE+CeUvF3sc4B/mdZ9ocB7Gd591kPzPMLPH/0Y9lVrja4+sDVB64+cPWBp56gNnjkFbjK1QZXH7j6wNUHrj7wo2SiA9HJtwPMp0e67H7LAOjk01s2pcaBvVO6/ewP5/tPnbzyDtk7QYbBSMdK738BW3Ut8FIgp8/A2SWXugHjgi1Y6AKq04fyLOH+gCzmBrtXwHODyVM2VL0W42UzBye4VJCJL2OBK/ubPpY892rX6ljAjCThlLfHcgCqd9yCrrP+fSebXmBe8FAgWPAf6FPdCjZ2bp1T2y3G2X//wUMCvgCbwLXgdJ+OITAsqQCTyvICaNO7syLQ03l0zUhBChQ6d+A7P0IJB53nBM4X+/ynf+Z7U7Y9JtaT7nt+vt9jZ33si9/8BTLuBYEDNgPmArEAdWTXD3n3DXaTeifjHmDefwtc3/9hGmMdB4YCyjte+w6wA1xWCk4X/MToxjQPIA0kFsTGuAXA89sEeAM4Aaa8l/mVV29e40sCdHu1T0C9Nmi/wEDHt8+k6DHcK//oxW+udTqvtmn/QHYyrcsrOxn7DfpOn/JVpw3AYoMDy63P87NAfOA1H+72wcsdSD7laidrvPUmCN89HvCDXSeIvlixm6Ff3YEGJNHbX/t3rAWkDjCdL7fzkZRxZup3jK4Nn3Nt6rMxs/3qTxXtqi6SKyQgUPVwjUlw10+xqzEMWw6kB+BTQ6hu7XMBux/+6lGfzm+pKexxkmR947qkh9qvcbGxdUnob3Z77V1QHyMxUESQP1CndbAT698UCapPSSgkgAHNrdt63UsL4N0JASTaMdYlSWCct7/VzjvRgjzxSorYiRH1g7YNAKEKIqGpcbmxv7Yl4W5scO9KdiHZz1qhY7e8erS8+8a1oiZQ+3YO1R8gzTOadH3P6SWfvoFzUthYpeS3e055ppM3XxLA7e9Dnztk0/X7+k7LsM31FdLqpNynbQLgXdKG691vEt5LFnyzklkMkCAmFd81BLRKqmg+0TlgZgOcp1XKBM0xtScLfbK0J/u8Z+dZrt0z2RxqAs9Tmt38ZgLpU+Z9LgPaK64FAB2Y6Tyr9wLt7t2SBc/S7OSqpxc6kE2Z/5l3zHMki99xj2S8D9yUI8zHMJeXAsdW5cCsXckb+3qSbMdUBjZO//O1zfZapzZADUHCwEy6bH7kGk2lgAmgNyc3527+c5d8+yzNfX4cAPS7WOj/3f/6wv8zxwvS5K6zMp9FjVPHvObT3z7GTomG3b9sGxojK1POHSO6/xtLGj9L8Oz9o/msZM/G0/qvZIjJEO69p2W9h7Vuy/vd57Rxavv2u5Jrd+IwMLdxpHGb1VXr11f+xl//a+uTDYbn1rx3KEVUf97ijYf1bf2u+bY+1j3LQmT19Z2sMNXL9Gmy5FMCveLdb6qMdX4sN1jO8KnHPqe0Qg7fuNo2Z5n2mYw9meCT5X32QJ8gNvAaMH6Wb3+AaX6SaHcsnwfrfb/DTVB+yq/fxSqf0uxzPUpkZ7n3uY8ziH55nj/6cesqVxtcfeDqA1cfuPrAU09wGzzyClzlaoOrD1x94OoDVx/4T+0DZxD959/7wpcniD6z9M/fAecTHBf0mLLuftt2yrgL7EzZdp/KZOSc5d8Fe+dyAV/bYMMXVC94tYL/L78p01rpu4APUPatAPQpry6oLFhEFnQGvQXpVuA+BseWmAW6t58A9IIhgqF9doz2P6U+AejHeWMr7DaYSQu1a0wT9Sc7XxCxfWHGARSwJiuCzIDvCaBXCrhVBPSxejD4W5+Mq0C8IvBUfSQNLBbFu9531J1/4uo7J4nByVqp3QSxHgacn/38fpzAc/f52QcdMzuAMRA9MIs8+/IlHpLlWOJA8gKVWLF98jufwHlgcwBz+yT9DszsN3C1ZYsN/ulvH0xkDHKMcbLTAPJ+B8IBBIHoBzC/wVssbUkAAHH1rC4C49PTmUd6x3B8yyqkrxfY+tLXDyb9Auc3075AbgFnvqnA87kdZjQQERAHlGts6r5sP7V54FsBbEzoBbxtaVVsbsA7hjQg0H9ksjG4l7T5BubXthv86zfWdvtfCQJbnhpb+JCnH97pFD6OxIDdXksSd58ntQEA9QLAP/zVG/C62btrbN7XqU/JDXzka4/qCdQ/mOm7Dal9SJTQXs7L+uqkffyWKHAAZfe+sPrg9ApvTD981El3b19dLHWlMRYDPUnfnkGBLoHj7e/VP/yr9T0goPp2rArAveWUDCRo1B6Au9qi78D11VbbD335re8EEUoHpN7bX+ey2Nb3v7TWLQFgysuTFF5JTv/4+bU99p/EBrYPjRHuMbLHi5H++nf/P/bu7/e+7L7r+7/AVYu4rEAVNygILqKo5JIRkq8aFAmJoqBgolqoTZQ2woDdscxgzeDR4M4XfYnNlGQytodxGIxGbmUH18KSHSwLHFDUu1ZtxF9Ab3pFquc667Hn/d0+n7Hj2Pna+e6LpXPOPvvH2muv/Ws936/X+3cFzHTdoOReeaGnyn8DyWV1vvPdLqD58g1uU5IGbFYu6UDlVhD3Gxxj706F3jzyardvy/p95zZvH1myczOoDQGbZbW+VcjTkt0n9wUpGLqmUaY7P8F0RRoZ+yygrrrJD67+niXYtLvXTpW59DFTgU59Pi3Yp2r8DMPP383veeasUlc8D7atPi1jOc9Fnl3mM4N98VnpeNgHucEFDFDaTtt31u9z/89BfROgTxU6Bbo+5PwVANFx6hj2ufLcg67jOqNfCvZYAP3jnzss+qc9f/2t71OBP3PMCzIUIFkxTYCDYMme0ecz4z2A7hlouu487eeRH2Rp/+RC731mAfR9fFeAzfOvrfOKI1Wl6+SR0mZDc9cyAUGC+NZ9ZbheSA8FoPdJjb6u2xuody3lqiRHd9sNDnNSqs9Mx6z+87w90zZI1UR5vN6pNjwV9Fz/6FrS9oLwXKrqEwH0+txK17Kvb10LbaO+1v/tH5t0qUCqp/cCAasAumA67zj699lVoe/TGWrCdO95zn8g33nkXuWZCDh3zxPQMJ26ZnqwM0A/3jmHuvshC3dger5/nK3Xz7B7gnTbBeAn2J7W7/dync9yVqSfIfmcd8J09aGMv+D5079eXeVqg6sPXH3g6gNXH3juGWiDp16Bq1xtcPWBqw9cfeDqA99PiN6A00//t3/n4z/11//2N85KdIMNZ3g+wTVF+lQcgOdzmSPv3GkAwzxnyzvzTwgPws6cdgZnKtRIID0lU4NlQQKKywZlguoGURs8MnDZ+udA5D2ATn0OEAscMKC9Bn4+/KtrQKfBrDm402D+AtE/8/wTINn6G7SpHgbPDNjN/KaCDNjFU2z4DqBX2DqyPTVYXBs0mNd38Dz40/aozkBxg8/Lcv4Drx527gakDXRPO/tpt1pdDZwZ7LXvTTMo3rGqnViiUhaybZ8uB+e8rgbj2BEGzuvX9e9nybb9XORBPwP0BiBZsweyDB733wJbb/72LW/xVpnLd55tc6XvAHrzNi2IXFmwc6vQAbXWD/I1MN3gbIAOVAXGWWoH+nxSaPebQjwlM1UyZTk1NGtuedz7r8FWCrNpxU5Zz64d5JaHlJIawAf5A4Age/MCiPJvCz5o3ezgBQtQ5goWOAD6K186rJ7ZSMsDvuZ59JXDup0adub0bvllL7/baqlet0U6eE6FzC5+WaVvqB9Y1ebWQe3ePoD98sRSPFvnqttW1GsbFuJtYymTH99yfc/2XPV8/VtH7nZt0fWIHT+L5KV0GzCfAjjAsfKIP/+5tWz9k+uAfgJuWr988tpwAdyPfX6to+1Ux+V28KmvPaGOZuvcOkB0/1XA9aa1/wH0SgC9Pp+Fb0C9+gDl8pBXb9MmwKAcFxghZ/eCNxtYdz76H5Rf0H1bx7cOeeDXMdrt4d7Ytbx5u1+Ch33v3ts1veW4qbReaQvYswPspoNT9X3zLyBVENs/ubkDVMfjeOyABQpgecPdAyuUk/KYdz+T43zeL92DqZ2lQ5GvnlIRnAG4KYnZtlOpstHvmPZboMU8f4Hz6q4/1P+cz/pH7drv7nVgK1eXCZwFAM586FPBTendss3T/vYc4JlkuvIIMARrPbvMnOeeL6Y1+xmwT8v0GTDpWWyCe/8LZpz50Knq7SfIab6WAdZ7pgDVZy7zqcBX94o0QtTdbO8FEC4HiFIBbBX6tPcPAnZ82PoLgKAk7/sKaNlBF+uZaTtTTMt+gTbs2+VYb3vy0s9j0zPMDDacFu4zP/RycsoRYjgWCbycEL3vzxJAf1CFvnOey2/f8VhBQDvQjX27a5TiXi79SccZRHdt4YTBdl16qK7vwPpMS8SGXa7uSstLVdTvVOX9D/CD6ytwdiiPJ8TtWPe5nJy24rwS3M4W/r/7hf9hwfPmq/8J4KmPdg50Lnp+X4EBz7+25hGs1fkgvUL9tOf23ivaXnXuOs+JpVJfZ53uPU1w8gyi9U7AbWy+w7kmrFzvL7692qI6rzQ+b33jUMev58ntJrbesUb+83ldmu+w3jcnkL6nPgegp0U7i/cj+HvmSKc0V4b6fb7fnvOdzyDhaePueJ+t28+/p7p8Bht/mxL+OyjPn9V3pKtcbXD1gasPXH3g6gNXH3jfD6QNroa9Tq6rD1x94OoDVx/4Q9MHelmm2rgH0eWnnkr0CbcNDhhEnbadU4k+BzIm9D5buVMiTFX6BPis28/rAvN/fORDB8/ZgVMhskxtcGkNhn3ojQWrDWa2DuD8IQV62zJ4OweTDRSvAe+d0xQMbrvVR87BlmO3buCTdfsaCP7Aq4fVKHXVtDCf+QIp6Psd3E6dDaBX/yzcQXC2xMuOdFsep0JJfRhEPwP0pYLaVvUt3/oBC4P4Bqqn9eu03aecmYXlev+pW4PbDVRSs/a9dlyD3HvAvPn0NY4DBrTYtZ9V58/ywFD7PfOgB3SmtTaAPpWjS3G9c6FTjwfIX/3i/3kozyvyn0+AHqBOadpv80ybeLbu8jZPK21Kb6CQupxaW27ylmXVzq6aeh6QpRZvHoPjoHn/Hfbxr39r1ZWFNpjaOqnrWZarf/P8hb/3rh1462aBb1C+dmi91O5yTi/wP4B15yHV9FQ9L+V7x+rxDeRXbwAceJfr/LB9f3yDo32vDkF9FuXANXt7ClrgmKp/2YEPBTpgGmwFqqme1Z96WJ50NuRts2vuUvVu0D0DCCxTH5Q/u3Ztebbs7L6njeuqf7bzO6hg5RVmr76hVsdp2alv+2x9CvDXTmzEW0/X6tbddVDQQXWq7R2jgCY47hrV/HIpt76upf1uu+17sLwSRAeoAyzBh6A6C3c2whR2Ta/O/W6/lw36y/9iLQvuUeCxdWejLo996xAEwUoavKW2ZUXc/rt3yfNb31uA42dfOuz79en6eL/r+9MFoetK9dGnbF/aBI4DfbLBXu4Du8+s47TV5ytQYat8QZQZkFY9qc/7DTr3G4ShSnd+seoGRZcTzU650vxtp2NHkbyg+Ibm08pfAMuCqFulzHZejuwZzFLp+AkC4TTRNqcl+8wXDlzN5wvPGFPNLWe6dDQC16Y9OLhO2ey+fbZ7778Jyy1/tm33XOaZjAsOmC2Qcta9uvZMVmkdTW8fn3h22s9IQHnzCRKwr54/mgbGz8A9ynV1sIwgvb7rQ/qX1Das2zv2y/Vkp4XomNU3W67zrmPcuS7oic07d6OVFmH3taPP7iABbVTbVsDy+Vu7z2fgADpoOoMvZw50QP1P/5d/4jeeFQt3zzpBdCr0IDqALmhU3vPOzQWHx/W2z66X61miwKtHX3nCdWRB+H2OUVpPG/f6hOt6187rkAqCAAAgAElEQVTeO3rPqMhb7hxpWu8E/g+cZ/EOpreeQDqLd5b9CkDrf2C6fqNe1aP/2bd3HrgeAd7tx3Ru6JxpGgV6+9S8ra/5BMEC6O4n2mhdV//Oo+Mdz7uKfj2h+XSNmmkkOjc6T2oXwQaC+Lj7yH8u9/o6Z/c7luDte/CcCvus/OaGNeH5hOPTdv6c93yqw58A4MNC/iFoPu37z5br95Tn7zX9uymB8zM8f9bfka5ytcHVB64+cPWBqw9cfeB9P5A2uBr2OrmuPnD1gasPXH3gmYLoDTjIvThV5FNZPm3egV55+vw/lTQNkPz4HhxsEGDmfjzD82PAYX83yGJQ5t40KiR24A3+sM5dg0pbvUbVFhyYNuP3LNxZqxvYnKom6i2DwdQpbEAPCPyh22BVy1caqDHo2WfrpxSXi5YdImW9Npw5RTsO8oyu3KI//YsHQAfm1+DyB15dkKCB4iBQdZO7sAHi/mufguSU5NO+XTHIrQ4zf7zBK5aT07JxwvM+m9/gGdgR4JJHtHo2QM02nspwugwY4GpQKHh+qc6fPL8bGGPjHkCXBz34BaL3GcQMuFKdByApzVmcAuJ9BtMBdfOD4M3D7r3tLNC27d0p4G1/QbQNoUE262l69WLpvgZLH33lyFU+YawBb9D9vG5qMtbT7ffKL/34pogXWMBOXr3lPQf8G7ytTkHXPinYwUKgni24HOLWHcCedVvAN4D78rvQRg7dtczLN2tgKmgQr9K65I5XZ5AcoPTfYRf/+BZoQHmu7Vp3dQdHqbNtr/9B9WnjToUuAMCyC45v54DaDGhs/gXUH33lBuN3/Y/c0y+9c+St7/uyAn90Ax4L4H7qawfIXTa4j76yfnc940agnZeF+lbay7Xed/tFfX6o0LPE32p/KvLaQ0DBsmd//nO3a+i2aAdUZxqMpnetb1+nAv3tf/XvFzDvvtT1tX3pXAIqFgDf6uSmLTDz1jcOa/2m1xfkXKZyXjDhMzdL9/pp0HuB7Dd/61Cr61+12cofvmExQN18XdO7P7bdYJE6sHCvvq1TDnRBFCtYY59P8qFTcrZf1O+1v3NoQeh93J0boKP+DXIDJNqHVbD7anXtvtB+AK1nVXNtQ6m47Nu7xwxVanVcAPXlW+qE9kO+Y8EmADwnBvcp89UeTdNXnSftV9tpviNIJQvlF95a7U1FDyB376eer/7AFjgEtnv26HMG84FhgDiQLjBuztc9WECaeec9vek989RfQfOZ99zv6TxkWxTorNbZrbPXZ9cMSE4HH/t5DhpwbAVJUN5Pi/i1X9vlp+W5/pi37U3rdm5BzgeKcykSqNA7bv6rL3Scu0as6/KHf/UIqpj5mk1fKvfhICAQwfPqtLv2fDgVvLVjz+IVEHOqzs9KdAr0ZwmgnwMGDyv3FOg73YeAs85vgW/yaXPTWOds9yVBNqOveP70zO1aTIFOsV1/oioH0ltuWapvoN51bAXZvvjGuieY3icldcfec/Q83kD6VFrLj965tJ7rR+7znrcFBE1Xm9rGtUQga8tyP2m/1jvT86+tPjrt2/ts+fq782JdX5+/Bcec1edyoFNVezeQ/3ymn1jBvluBvu5Z+3ySQkRxb+s4tP+1mUCFme98QeoR/H22cL9n3T7V/uo8leRTpT7BOPX32VltAvdvU6tvEO7/WZd7OdDPQP0enD/nPwfPz0HGFzx/+tetq1xtcPWBqw9cfeDqA8/9IWyDp16Bq1xtcPWBqw9cfeDqAz/I/IETolcM2ikzsn9ask/A3kAL5Tl4/uM//YsHZG8QaeY7n/Z+QLZ1G2CZ25zq86lAPyD8tjalfGpQalonGoA3CGtdDRQbnJwqdLaYcok30NQyBqHnQDbb2TnwH6wIAAP17et5QKzP1UZbSdegkUFXbaL95mCTQXZKdYOy08KdAl0u2AYRGyheg3+Pb3l6GwirfoGSsxV709i2A9kGohX2om0/BTxYXk70fleHSt/lL6+ebaPjtGDYVpU2wAc6BNArYMm0jBdwMeH5NSj0nfOgB7LkKAd/g0Js1CdID6ID0NlCN8BsWp9yHLdOedCbJqdoZQJ08BhwBucBN2AwOE2RTiEs9zKF7YJQ24obtK6e8knbBmv4Ca4p7kFAgBosXnbiW/3ePHKlA/8T4MtpDiSypGfj3gBz22r/A7vA/OG0ID/5S7f85SyhK9pjgfCdaxyMlKsbNG69lOltx3dAc8J2Fvf2RTvJ+9r86idv+vzetrXlAsj7GLGXBymo0qtjbdJ82l+wBBUyZWCfjpnvSzn++La+ld5ht1dQq/7DUpuSeYHvR19cx2Cp47bavGUcZzC+37UzBaqABjb9co53DVouHeXF3ttv/pYHQYMn1Or9H4CYOdA7h7iidF+YTgczzUjTA+H1ZXlz5VgWmLXcIh5/+YnzQp5zKvDqzlZ82eHvAI223b2gaypb++od5C9vb+tkPUyBXvu1bsEx+ohz1/ku5cNKZfDmbx15hCss3OsL1Ivs0rXbOgb7WFAH177UpGyygWbQnMpYmXbucp6zZ28dSzG8FejLJnj3xeoEeLPori9QjwsY6Xvte7g5bCcGSnQpEeTO1nep/dtGn+tev/Ny930dlw3+p1W574DXtETvOYcNszznUzE+84G7f041+QTm3cv9z1lmrg+Ynwp0IG9uaz6jAOYzX3nTDoC+c1QLFBCQqJimDTgLeKbptzY5BxlIPSMYz3G3nDYH01n31yc4SwgU8ozS78POXV8cVu4riGI7PtTvmledZtt4xgLO5/PvfA723BwMAzG/U3lWAbrUVD3vLBX6Trkh7ca6H33qa+ua2XVMqgspP7pGHak+NmTW3+bzZ/2SY0XXSsFKHXPP1r13CITts2neQzggUJu7L4DnAkzqF/OYz/RSy7Z9A9f6xuoj7//Qmu4doGXkNafaXvfjl//FLYB4B2y0T+0ri3tBXdW1c7t51KFtt80Fznf+c7ndq/98N5zOCgD6zIFuXo4UbavztjZz/e+YVR9gX6ACF49p3x5AB8x9ztRh0/HsXfeqb1efg+amz/lNB6hBc2ryqUafudLfSy3uv3Mdzv8/tJ6zMv2e6vx6T3r616irXG1w9YGrD1x94OoDzz0jbfDUK3CVqw2uPnD1gasPXH3gDxqiU6I3OHOG6NPCfdq8n3OnsxQ9g/CpOv/xobo5ovXvQPNpDUiBPgeDDeBSO7EDpPqgQm9ghipoAfCtkDgr0KcKHeQ3MDxtRymjWI/Ltxp0WSrqbdsOnlfA86bLZyo/Z+ukDDMIRa1hUJqaCkB/SIHedFazBr0MFFfn1QY7v7kBcyC9adTn1a+B6JZp21wGzvkNJ0BX5PUMoAs4ANBbX4PTDUBSYS5w+OLbqx37Xy5IkGDC80tR8d7ndqqsBpRToa/B/63yNZA8gbp850B6luxNTy0bNDcdLJf7XN50tuh//X/5N0ulbnmwHuCsDm1XjvQGsanL5Q9v0FR95SuVb3kpW0e+7eZpuQZX2dMDdxPa2+dKg7F+q2PtwqJ9QnJ5vNm1B8T7LW+7AXlwGoyW/x3gptKl8ga7DdizemYHzx67zwbqW2fLdH6Aqf5v3YIKql9tYOBcPtepOmd/rx3lfqXYZ8tNaQ3y97tztXoeiuFtect2ve/s1h3T1lWdtHP/s/AGUtmmC6A4LN03oGybSw2+c6aDnitoaaiF22f1kKoAyATwV07rRzeV/AIsW31e+3ICqC3AMQ4ecuIuK1wK0w+9ceRIlzO74wWgB6dbX4C6780XjAbCVx77l965pRrZcJnquvsVOOM6KV96sKPttB+1cccHBGn5IA4bcWCve1L7yYGkz+pc/t5K9wUAvftT133qbHbHwDkbZKkZQCntD051zAVIcXygyhbIwD7+sOQPnn/w19ZyghTklgbNZ2BX9wkAvfm5uXSPBKu1IcAJlvZsUB3kRl/5z3cgV9unVgfga7PaVz5s5wKL9sOCfudOd86tgLUdaFedOOJMa3rPFsAwiD6V2O73YJvc2p4ZVt7kDbCmIt1zSL97bvN9LjfLBPMTyp9zpPcbIHZ/n4rzaekOoLNpl4v5rFYHEYNiUuAIJhA8wVpbG1HBayPgvH5UkapGv1gq8W1n3THs+bDjqh9yF5AqgvNAv/UlFvBcITy7VAKknImq5wxm6LlpWudXPNsIHJ2OTz3z3lOeTyejZxmgT1ctKnQA3b11Bcw9/vK6L3eNkqZmBoattC07sEawhWddTgf6budw19pK/cG1YVm5v3hLT7CCXEcQj6CorqczJ3r9nE18x5sr1j2APkG6d5T5CbB3PtSfg8+uxd372if7stTxz7+2+qh9Adr12alAb90966+grk98Yd2j2g+BLt6RZmDIfEcIDAui1ded6yzca4/ayP1dOhguJs69FVDXO1DX0QHvJ8SfSv2pFL9n4X7Oiz6B+cxDPvOM38tvDmabNuH6GXJPAH4PoLfsWXH+3Vi39350g/I3y/bLoevpX5+ucrXB1QeuPnD1gasPPPeMtMFTr8BVrja4+sDVB64+cPWBP2iIfg+gs6cDsKdlnv9Nm78p0oF3Cgt5NP1nEPGsNJ/g/ci1/Vd+4Rgwndbmc0CWneK0gG3wZ9l2/tInjsHLylmBXpk50Jtn5kGnmpKLU85F6jfW6gbDJjw34AkkL7vIbaVugNr+so9ns2o/QQNAofmmAj1gLbftUvJVv50reKmx9iBy6wqWGzAPngPohwJwqwANiNcfZo5ztoxtEzhvHX1qXwC9bfS9aWvfN9xvUFG+YoOY7RfrdoNx9+B5/ffK5XdfhS4Peip08DZQSe1NVWpQecJwec1f+9//rwXS+x0wl/98WYPvefv0P7gePAOp5Qfve9tuPnaqIHmD22yiW47ie1q7UzKvOn/mZrvKln7Bum2j3jTbXzbUn/7mYUcNAPZ/ywcVg+cALiAMKFPZUpkXJEDh3X4KRgCR25e+t61pm9/05m0/piU0SLwG8rfCqvPBPMGY/g8IdJ1oUHnakoMArbftUcEKPDB43r5R7MtRPlXfYKx+wp4YLF/K8l2o+CfoB0UP9fq216fW7zcrfMpyim/Hy7ETILCg5K4PO/iZP34p8h/fggDa5goG+fQ3jzquYIB9TVn7v5X+S8H/8k0xLL2FHOnWtZSmG5SycLeuCdXB3a6XrXMq0Dt2tXf5bgPoQPJKJbAh67Qt71q7cpunWgzUbmVz21wBAp/56gLoQe7O2ep45CN/4a21XqCmOrG7BaXXNX0DwZYNMoI+3Rfqd6kiu54HIZ2LE44v14l97XAudn2oUMCv8+HlLxzHlO37dB7gHgA8C25zP6QCpeQEmI6gsW3RDQpNyLwUy/ueTCUpWEX+c8EXHYPauzZYDhcd862CrL6tX7+f6nLg7AjkePHtA5qvvr0V9c0DpAHpVNDLln7vM1tzuYfB85k6ReAea3f7PeH2hOfU4U3rviswT/5tVu8TlAukm8p1oGuuk8187TN/qysIbj9AcnneA1/yp8uJ3n7NIAEK06bN55Flv/6Rz67nlCOgYm/fMxHVefPqD8CoZ6IFy3fqHXnP+wQ8BVt03jq+An4cc/BcQI20BBwR2t8Z5Dnt289lqs9n/vN7CvQJzs8A/Sd+4s8996wB9PaX604qdOfpEdT16CvretR1q/uf+zFHl47bdIfwfC8NghRR/d/xBZ2liuIW0vVUKilOT1IndU1fec73ea7fe6cQIOzZegZOzMK6v2Jegb6dC22Dyl5KifaR48MMxq2OtUfX7eaprgJ66pMToLeN9rf97h7UNbP5zupzgbMtDzyfFejSf3GkYG1f8BcHldqLO856P9jH1PlZGwsycd7IRT6DuUH0e/bt0yp9Tr+nRAfOJ1CfUPucK/0hYD7nv1eX8/zfS87zC54//evSVa42uPrA1QeuPnD1geeesTZ46hW4ytUGVx+4+sDVB64+8DRyok879xUNf1KGn/PMTVV6BXhvEPBs797ginU1qOK7wYdpZ2mQVzkrd6YKihKpwSF2ig1uAehs3KdSYlq4T0WHHOUGggDgilydBpAppeTorA6U5w2MnOF5g9mtxyCWHKAGqCc0NuhtAJuCZKrtmm8C9LbN9rQBYYPDDRizkaV0m/arBu4NsjUQWKmO1ChTcU5doo3kTgXRDRz3vf8mdK8vgAes74ELAQIG5xxvqooLnn/n8/qejTt4ntoWbGS/TGneoHKfAfFAGYW6/OiU5hTsAHPKc+trOiC9VOAbrDd4zfZ9gnPWz5adCnCwv/qvXN9b9Uo1TR1L4b5sxLciHNwFtYFu2+v6sCyat0q6dTSY3O/qQalm8F0AACjfOijsgdwFcD95g4jtZ/9RfbcuSnIwRg7llU/60RefCCZZFsNbBQ5gU70C8Yd9+7bLl29cWwEE8sxXN+tYCu1XvrQgoJzhrWcFIjy6gXPzUcnLD+9/Kniq7bZ75E/f62f7Ts1enQFuwF8uddbt50/uAAbXKc/bt6Ue3bb+BtvZiLN4nxbsC0rvPOeHjf6G7S2zVOrljN9BBP3Pyp0SPsAM9HYtXvbfL7yzjl/wPDV3sLtALkrjrnVNl0uZMwhFa/93v2o5lt9NBzYEuwQwBADUR+v/gC2wbhv1Ga4OLMo7fgIyFrj+0Bu3tn7hrbV813UBC1wWpEjod9eA6WDR/wH0lu06IBClZawDrNLPqh+75GmvTnXuvkppWDuufL/Pv3bcA8FZIHnmnJ75rls/W205zsFP4Kz/tUXLcAWg1meN71hwTBGEUVsC8BPSsyXu+K+8x/u4UlG61y3F/M6FDNwBeT0n2McFh/d08Jwd8swpPO/r7qHS0QBcwPl8vqBWZ+E+AfrZHh7gtx3wW12pyu2D5wsg2/HyLAMm2gcQs/+ky+l7kJKDjn6iP3imWmrz7QxBPS7QRZt33GYQRMe5869jta5JG3rWXxzTjr1+07GWgqJtrGCM126OBstVaIPI2WaeIT3bnd2ZwEXPyz0/nnOdz/znpt8Ute8C9J7pn6V3x7MKPYjuHAfQucEIAhLIJU/4SiM0AlQct46V/rhA71agp/DueLMVb3rPFCtY98U3bgrz3a9mIK/goPqg81d/6NNz8nu7DdwU3RXnKCAud3j71PW27wKJnHMCdqpX9wf27dVfDnTvRpXeLXo3a79XipNX3lzXM+921POe1Ssz77n6CsD23jjbVduy1Z/q8+rGDYTaf+Y+n25ovZdOeH4PRp/V5fdyost7fryX7nkB8jl9AvpzfvKpKLeOCezPCvez6vwM0O8B9bNt+3xHunKeP/3r01WuNrj6wNUHrj5w9YHnnoE2eOoVuMrVBlcfuPrA1QeuPvAH0Qfey84dKH8i0n/8DpI3mFGhNJebL5B+hutU59Puj/qi6SwBJ6xvPvNOxRSwzpa00oBMAzwgOlXIVJW0rnMO9AnQKdCD3YA/tXb7YqC2gbIGrSihKtbLun2qRxr8MJCaio6dorZjwzqDBwzksXJvAFgOwAaE25cGuCjna5/qt6xJU9ft/IzU3Q3oTyt6lqprgP/F2+Bf36uHQTCDRb4D59Tn2slxMgA/gwmmqr99qw7qQ6nHnt4xsh3q8yvn+e/Nxp0KHVQGkSnDKxNeT6guPzpFOgV6oHopvh/foHDzUbBX+h5kT9ndp3VTtbdNCukF7IPoW5UO1AHS1bnpBnkrbb9tt84JTPttwBwwbB3qZb1U2SzTg9F/8dWvH3nBKbaBwwnQFxjf/1WCl9M2vvq1DlbvK2f1Z27QeVm6P74BbgP68oc3QLws6needypoqu416J8d98duA8wU90Gg6tM+tM+CCQLZTVvq8a3slld9Ke629Tv7734vlfW2cAfB+x+AYIXrmJtn5Szdedqp1huYF6gAwHeMrEtwheAeOWhXAEPBA7tu7HXXci/fIDI1MIvxlZd6B0bYR8sB9lTrFP/rWphF/7aH9z+rc4pzbdznArxbjc7dg01005qvYx1Ar8jf2nW4e0cD/8FxcJvSn9q9/tr+B9krK6ho16HpLdf+2+e2O4NJml9QiX1t2/2mRq+elOvdRzpO4FF1635ZEFb3M2pbedtrU0rzJ64XOx3Dmr7dHpy3FIQs2wU9sFEHrH1f1tup+V98+7g/9V2e8KlSBpm50QCxoPu07aYuFaDFsn2B0H3/WYD2Q28cilHtT1XcviwYv8H6sone+6EPraCKXG4KUNhKZ9bglKfqstwM6kM7aGDZPs/ULD9728cJ0Cconvm1Z5ChYDzPSaA4aO7ZZwYl3st/PgMWZ850quqZexww96xyDmgQ6MBuH8ReqW4+8OoTKnIBhRToQP206W+a9ZgHGGSXD5B3DKYqHQiXPkAQxUqB8Ph2HrZc5wb4KICIs4HUBK1j3ZN2UFLPgi0DCh7W7T97S1/juRZMnABdmc/PZzVy5+YE6D7/5E/+1O88ywDdM09Bgz3zTBX6DPTq2sMZhbNKx3cCZoEpzh/uT02nMu9+3XV1BdpsML4+n3/tSE/Evr1+tIJ5dt/jgqVw5fK8e3YcmKmfPEM7h71HCBhaziOf/FeHepvafqUD2fXrXgS2u5csWL2V5T371w/Voz4HoC8V/WtfPgC665N3FuDYvkwL92mB7prjmrDSbv2Dzx/3du0r/7n0JMe7wlafU52f30nPucknqJ4w/Qyzz3nPwfUzQJ+27BOqP5SrXH3uqc7vgfJZR+/gE87PeR+C5xc4f/rXpKtcbXD1gasPXH3g6gPPPUNt8NQrcJWrDa4+cPWBqw9cfeBpK9G9wM9BivOAxczZCKJPJU2fEw7P/ObnHOhneC7n9lRZGdiibOp/tqMs3LPOBdD7bQB+Dgw3CHWG3PKfr4HJAYcN2i8b0l96aYHmqepouxT2BsLO62xdBvwNGlNcTft29bNPbFXngHUDTytX+U//4gH/G/CqHQ3gUt61/w1QGdhniQqWtz8+De4a8GLfLyhglmnXSN3m2DRNEILBOMr1NUj8/M0Ss8FGuWGrE5vT5mt9t0Gnn/lW/fIaGPq9qdB/+fNf/2tU6MBWQI4iGdimPqcyp8CW07zvFRB9WrT7pDaXMz2I7HfrZNuuUEnZHkgHylFGm2awd1q3g6bU3+ec3IeKfoPwpSzetuBNWwB45w7XLhRqwCDwTaU/4Xqf8m1X3wXZPvn1I+c8cLyU3yPPt3zjBvKrj9zqfbL7nrb0E2iD2QIR2haYytq8aQFT8GDmhmf7bn1s8qcau09KPY4AAAQQTwk+60RZb7/Vv98NgoP/zTuP8convdXiFOfW2zWsQf6uY6zj5SyXh3vZZ+e0sOeVZ3zZxm9LWNuUI3yqUJdqfkNm7bBs55//3FrvgneB822HflxHs4LeuZMDECzc/+nX/u/DFj0w1/6XEiHQbN3OCQEStUUgO/i+rMN3oANIbh0B9qCPvPDtW/PWFsuO91NfOxwEBDmsnPSp8DsPHn1x3X+o5WuvbOZr36657YughZbrOiD3eaVzoXpXnxVws8/FBeu3IwGAUz2lHAD6V7DFhsszRzllP6gMegp+657hfssppfsF5aj/KICpnfuvY7Du1x+6OdGsPNhZLW87dipjYI3zg3OYEllpPavP7CAwML26t22KdrBeH+meDHh1/waGpyU98AreCbZrnu6zPTP0vNG9tvuj9DYTdHccrWcqzrsvz2cLtu9TKQ2KsYWe8J71uuevCfJBsXt53AUFUJKv5XbAxMzN7FmKwrQ+WXH+cRKSxqbvE9TPnPaOgbz2ncsCI5y3yw3jhbdWH+75iH37umbsdArcKp4IntgpHuY0+bBnKp953DzbThv9qUSfAaj37LzPEH1C1iB6Dj3PKkCf7zDTyl2QlnuW+xR3Js+eIDnXgHkuHc/9G5R3/gd1OVzpa+u6s2HwcrfZ04//d993vZpuUwDuvfznjnH/TVcsaQxWapPt5uH+Boy7rs3zzrN38whQXLbv//gLN0eH3ffUIYBe/+TKAMbLga7veoebduZThe49z7WI1T2HsNpN/VnLU6BT+U/1u3cT1u1H7vGT8vxs134G6edc5xN0q/O0cJ/vR34D5DPv+cylfgbos37n9d1Tmvs9gwMC572jn1NbXfD86V+PrnK1wdUHrj5w9YGrDzz3jLXBU6/AVa42uPrA1QeuPnD1gR+GnOgGJY7BiZOF+7TQm9bt05bcgAeQblCCDd9U5FCjW2/rsOwZolOLUEdRhjcY1ACoARrg2cAxOH7OMziVHnJ2VxoAnQPDFFIzP2jzzUGws3U79X3zTut20HwCdGokg6/q3yB0A2fKGaBbt4H8BtVqhwb7KtqkdprHbaop1mDOnj6tGFmxa5epOlfOVpTaogFA62keysACHNTHvrZ89aA+b3CofnnlPP+9DShPG3fK6qmoDlgu+/WtOge8Ae2geWChz8Bd4IwCHfgDvltXsNn/LZONeetcwHmDdettwBaAA+KX1fNWywcYqdTB0aa1H8sKeluvTph+2JRviG1dc90LXm8leL+rMwhu3hTcrXMqzKszlbz6H1B850M/FPyf/uYNor/8JEhWVj71rQ4HbytU9kBk/7cuquI18L+3KRf5st9+5UvHfO2LtqM8ti1tsNTXn/z6AdJnYAEIDt7Pba193f/LNV77Lcj+6IurDinuKrXdkUN9WKKvOu9j1762/5T0gg5WPT71tQWIrcMAOvjFOrv6AAGtq/nOedlBaOr7jpF86kt9vgMu+lwK9F0f81Cbp1DvM9Ab/OuzaezhA98B9EpAuuX6DFRTp3ce6Ufsz2ur6kflvXLNvvWNo82A7NpBvwS+gaD2e6n0tmpannnLO9+A3MBjdavOlTf+13+91tn1un1ZAQs7MKV6Vmel9qsO0jB0XdBva0PuDhTsFP7LQaHjPKzrAWzwmaqfQnipz7cdNoXnDCTrOABC3UMWQN8qdPbpC27vnOfLsn4DcspT7QeOV3duCvWX/ut3x0yFWRkAACAASURBVJpiGTCnTG5dlPQLtO20JP232mCrlzkZCBKY+dCnWhugriyw/YFX17QJ0Ocz0wTo85mC483Ma+6/aeM+bcanww8Afs7BLmBhKnZZu5t/5nFvnzp2K+3MzmE/raznPjvWYKRnuNalDcH3GUwBqAtYkCrjCceDj3x2nd997zivIL7tTLGcB7YNdse156XOxa4bFLKOeeuQukF6hOVWsdNvqMu01BdkeLa7nsdxAvT/7L/6b44Cnnue7PsR6PmTP/U7zzpA9w4TQJwQvWcfQRHygXecz65HfUo3MNMh+F7/6ri2jDzo63l6A2XXGi4TCwo//9oTkN61q74w0xPNZ2zHdL47TMt27zrqNNMggc+U3FJPcOLgYLUCqvY9pnOAAr39EMjbtvS33i16F1hOP6/+82NfZ9D0fHcTDACcT4W3+eU/B8+5ctiPQxn/1jcOC3zBNIJrzkrzGeg985KD2Gfr9gnPpy37BOlz+oTk8/eE31Opft7OuT7ncraC/0627VTnva9f8PzpX3+ucrXB1QeuPnD1gasPPPcMt8FTr8BVrja4+sDVB64+cPWBHyaIrmTNbpDinAPdAKAB3Wn1/vMf/vsHXAdfgdoJzs9lQvrmm+DZMgaOGwBLodBATwMvbMxB9GktXrkH0Ge+7ga7GtydOUEprwwytx/U0vcA+lSftx/U5H1n1W4Qdar8GyiaA9bgQgPHAHrrbYALoLZcg3ep8GuHSt//1ou/vI5B85zz+U0llHYFsQ3eUeNT2rff9n0q0yc8N/irXQ3aAyOsdmcO+dbZeu5Zt1/XxO8NoAO3AayAl7zh1KTAHEW4PMfAMeX5VJr7bGC1+fudbXtAuemBaNugcgeaA/dgNvCsThV26aAya/QDoG9wLMf4Ulvt/1ae7gHiW39KejnY5QgH/OUyBwblcK5dWg/I2Lb6P5Vwn60DiBZEoG5yrDYYrE1XzuStcOYGQBUNWDdgHMhsMFmOcCCSzbxtUYhTtcsHDoovCF/u9K2It5/aqToB9VN5vazLt3pbPZdKfoNZyly2+P3f+qZyTF0BfOulBG0d7Sfb7wWhA6s7kGFBrcB7NstZzO/84yzYqQlXzu/tCkDFzcIcaG861Sjr9Er1AcFal/lB+wXpUwvvOisgemWtbytQ2x8AXY7cpgWn6y/s3Wujzqv6afMt+/Sd47z9aZm+BxOq2wTpTev/4E3Ldm+rPtVBcEP3vdZtflBFDtulqN7OH7WVnL7dN7vudl1m/1u91JXqnEW7c7njLKCm7VvuUKVvYC2gYe3PVkwCQCAKxTDVZJ8UzDN3Ntv2I6BtQ3aBWSu3+LbrXqrgnQ9bPxBsAXgC+bXFUm3u4IpDzfzSO0c7A6krzQLr961MdT8D6QQKALjWVeESA7ZNNxuAzLOGNuBg4xnoXMA1gHw+o4DonmWAdc840xXHOihz+w9UnLbWlptq6/PxohIHwYPfXHSOoLmtxgfmwfoF0j/6xhPrW041ex2epdi7Lxv9badPHV6f7P+CY5zj3CfWMdoAfc2/zzXW3p1L0kV0vFhJN61tdP7XpxzftsVK3vOMtj4/N3Wu9enZT/Bpn/13BugPKdAvgP7uMw+InpU7iF7pPFME2wi4EbDhWXueRwI7+m9dJz7+udt7RTbjn/nqKv3WXwR8VNb1azs9zVQD1q0fUGrPYNPphDWfraf7luuj4CmpJrr+ym9e/57BR51L9XWAunmXg8m+dgnymA5aAPq6r+77RiDb9UAAtPeGqbT2PjTTFqg/JyqBvq7JR9tuG3cAfdniv/jGAc/Xe+iA5/0G1c9wetqmn23b70HvCd0nNJ+5ze/lSbfcrMec7x44fwieT+t262LZ7t2o9/Te1y/l+TVWdL0bX33g6gNXH7j6wNUHnrsA+tUJrgvB1QeuPnD1gasPPD2InqqFnfu0yLtn4w6UA94NsMz858HbIG6AdyoWZtT/hMjT4vA8vQGtqdimgGpwhr16KvRAA4DeAOscXG69Z9g9FeNsxKm+Zj7yOShqXRQkZ3vNBk8MnE5LdgB92pUfA1E/99KhQKOQmfli2/8J0LNZNOjW9jpOHYtDlbHVEnITUv7LSz8BuuNyVsf02wBbBVAHyisTnk87SoNocrTPnLQsWeVXndbtU31+XQe+DwD99W+tErgOIAfHgnsHENuW65ThAHqQzPQFvff/1ldZ/28Y3nKU7lSrgcIGbKuH7bWulp327gG6gOYT6vJtWR5Mbblp1y6nOft10+R8b3sL1L7+rcPyvO02PZhuOSAalG1666quAHp1aD/sH6vz1tk+ytPOyppF+czBzpIdHG2QGGRumfalOjRf217QeuQy9139A+Ypl5dl+FbqU5UD7PaNSl+e+dqFO0H1SWVLlR8cEsgQfAL8KbntTwCp0sB3+199qZX73bFqXezeV/u/8NYtCOHxl9c2gOzaaoHNx795KM/B4eZZbb6tk5vWp7y2jhc4aXt9UpOznl91CIwH5Xf+dmDd/gbIFogdKnSFojkQtyzKP/LZpehm4U513n2H2q9pVN+s2vvd945f+0GRDo43TY71lat5597t/0D6ArQv3QIABGPMtqnuzb/Oj50TXU7nBR4/+GvH/62v636gQu7zCuv2ll0uA9vOfTpPuFZUl5ZpnTMYoHbQZgtOb/iz7Nv3vQ2MZt/OgnvZnO/AMaB1qpvB2L5Tfve7z9qh7QDzK/f4B29KcoEPC9ZvuN9/C4huN4SWmUp1UJyyVDqUtus+PfOss4e3LQr4BYr3vrGZn1bkE1b3m9r67FxDUQ76TVW5aZ6TwNx+e34Bu4HvqUBvO6zbbbd797J53stMID+Vseqs3lMBa18dT0p2+ZApgZvOLprVu0AJat6mte7+p7R1nKlaOw7OVQCdGwZ7/o6160N9t/ldWwrCdM0R9HAETNRvdoANFwXPNJV7z4qetXqems9dALr8556pQHNQ03Ol562e94Logg2f5WelnntKXxNQrC0mRKcQr7je6Pc9D1Ocz/4/HRHqjy27ruef+eq6LnApYPffuQ0w6ytcJvr0TA86ey845z+fz/ITPlcv15nqQ31eHSjQ22bT7afzolKfrc8LdmORXp1bn+fvs4V77cM5ZKXE2oHQtZG+7L3BOwP1vH0QMFA/5xZW0Jagg6mcF4hX+3bf4lbV/BzNercBtM+B3fegORB+tmq/l/v8bOV+VqUD3veU62dV+1zPWQHv857a/Kw8P+c7v+D507/eXOVqg6sPXH3g6gNXH7j6wPtWG1wNcZ0MVx+4+sDVB64+8EwPQp0h+lmJPhXo7Cd9f8IefFi7GyCc0B0oB5OnEn3atIO+VBgTXhsgbnqAfqmF9qCWQawGbSz3XnbrBiurB9hdHVio+21geiqvz8pzCpIJn6eqHUTv/5kfsG0ZRF4DyCmrPnIb/GuQVg7E1t8AFxV66wDNG2yqGARsmw1asUCc2z3Dc4M//q/dz+Bc+70XQJ+lASSqNvaN077dcW6bl/r8938ef+Gffe5PpsT64D/64m8G0am7KZHZqQdLpy17SnJ5y6dCPUCckjuVeYCTPXufwelAGtDefNZv3anO5UdndQ5kN71BUyp3EBz0ZQ0+rcvZis/84mCw5cBt+zyt5ttv8woMmOpakLrfggy0Q/toG02Tax0IrX6U8+ZpOnUzsEuxywadmh7ABy2p6QPmM3f6ytP9wjurbi1rGnDefP0nN7Y2YHkP1LetlpV/HFhu2f7rd6Co5Sy71MQbRFeCTw3OBxGqCwWZfO7tM3UyYO34Vc/qXbsuRf7jm402cL7UzJ+5weSVK54l+AisaDrltYCElUf8hbcO+/MFNneO9wN8vXyzfac6bv6Va30rTanNm1eebopq06tXIPz/+Z3fOSzc2fwWyNV/5UXvk61734H0+hdowN6e1a46B2y4EZRvvfUvmBHc2fm2u991n2i/a7fq6tzhygLstyxYUT1SyneN7pqsz3f+1qeznm+eqQqsLtOxgiWwfPeBndaxrLG32rv+VXAC1a7859PiPNCjTx15rH/pH93uvVt53D2tQDkwtX0Hs5ejyVaLr+3kNrD7AODZdHmK+7++06d+vvrNS7cUAq2n/V2507eqv2U5qFDQy3MM2C+4lSX443fezYW+7+GgLxV2y7d/08bd88qE0lSyU4E+Ldjn9/nfVEJP5flUkZtHIOLZjt3zyIT99/JFty7BDerOAh5ApyRvn0Fn+Zmn8nzlRt4KXsuazua9clj3D9tsyn+22ofLRcf5+c8d50jHvuMFmnesm79lO1c6P4685y+8dSiN13Hc/RZgt1/9xymg9gQPJ0T3rDMV6D2Xzfzn08Vnqs89a66UOj/5U78Dqv3ZH/ux9z/LAP0eRP+ZX3r5CwH0v/o3X/4PXJ30Qf1YoC9ILfj3eHfZ/RJAB82p0SnA6wNLKf0PPn+A4dX/XnxjPXdPty1W6RycBN/eg+feC1wDBIpwhBEEVXHtVRfXJE4b3TPr0wLc2ocF+Xdaquo1beR7t6gft53lXPPqPz/m5TI24TlgbB8Ez3p/aF77IaBBIMAvnNTxzrW2OcH9VJ8D6MpZDT7V3xOgz//OVvPn77YzQfq0ZZ+q97MC/h7EP89PbX5WrytTdS7fucDiK+f507/mXOVqg6sPXH3g6gNXH3juGW+Dp16Bq1xtcPWBqw9cfeDqA0+zDzxk5z4BOFhrAHBaujfoMpXqZ6gOqM/pP34CutYnf/jcBoBt4LjtsZBvcEzub/aKDfpYV9tpMONshzkt3JuHDaqBZoPbBo4eUo+c836zPqfcUtez4ltuQIN7bEsBgQbDgjYs3NtuA1xts/05bPT3ALS8jWxUG8SbqnPtqR6HHeHI0Xi2cb9n0y43unkMmvmcORwpTwzaGZCfx6UBYQqLy7r9ezt/G0T+5c9//a9RoQPJweGgV/CLGr3vYFjQTN7jc250uc2D6E3vNyjdNOud26Dwngp1anDQ3jxH3vMNvxtEXbnYqwd4u3Oim4dd+ITlVOetV45zyu2pzm4fWYAvG/rXvrqm+d38VOdLXb2XFRRAUV/9KObVDRRduUN3YMBS/26F+srHuuE9MEq5XZ3liG89/R/0DaAD9PaVkhxUZoPe9IBldew3VTFVPPV82+jYsX+XDz3IBHq3vequ/VmyU5bLuS3X+LLD3mrps2V98wgg6L/qtEDlo68cCvWlQH7pln6jddeO8qrXds238hT/+r9b13YBCw2+1wYrl/m2oQ9+sXxn39z8ax8Dpq986YBo8py3zWXf/OLbT4DzQ6G8LZzZQjctAH0G6F/6l7/xu//kn/3G2ucAOsU5FXpt1H51n+qzexb1+Qok2IC363772XYWLH7/h9Y189Vf+fXffeuffuYGaDaEaFnW1O3TsrZ/5c0DsrSd7ilr+5/56lKJV6/SfHTd75oMHDZv8LxzsPn7vnKdZ6P/qa+toJiCZepD9ZOK/tD22m8W7krtvnLHg+MfeuOAqNV7KSY3hF7zdP/bCmR5z0GwfrdM9xIKZbAbrOZgAJIK9lhg/aUb3D6A07Zyr+3B8/ZBXUEosLx6BankQJdjnnV761kQeLvgsIEGdqmvZ273qTxnIX3+bp7pinPOgQ5qT+t2SmigvHUJ6JvzzjrMZ5+mTeU/QAyyg/HNQ23bPJTm9pcCvQCCZR3/gVfXPJZ1/DwfNL35p3q4+XqOoJAX0FAbN68AEukCWLSva8x2Q6ifLrC+gy0Edrge1J8F1KztfuyWC73j3Ta6LjTfUrVvSAnuz2PiWXJ+Uh97tvXcfAbo5+fTM0hn4T7T3Tzr747Tzh1E7x0miD7V5hwV5OV27ngeXumVdt/vGisgZtq4L2hdsO4OlKkIwpgpGtqWdx3P32fr9ula1XN0hQPWCs4QYFTQxnbYoNqu1C/7XR2Czsf50nPBds448p7vYKjqvVTeL75xpA+YgcC9X1T39ZwV0H7xtj8CDGbKJ2UC9Kngrr+7Xk2Avs6dApe2Cl0QluvqumbuwF+OWqu8/0PHO6h304fgNRA+wfkZpE9V+j2L96lAf0h1flaYT4v3e+UMy89w/R48r1+D50/7XLvK1QZXH7j6wNUHrj5w9YH3PfNt8Mw3wHUSXCfB1QeuPnD1gWe7DzQI9Z1yogO293KWU51PG3e/JxyfavRz7vQ5HYgHnKd1u4FKAL1Bo6BESr05QNTAjYGpaVV4hufmsV4Kacqvlbdzw/OpZJ8DYRQk5lVXuUYnMKbyps5mu9inQdoGdwMPfW9ag85tg317dWifDIBTqVBnNQAH/s/8hWcrfEX7AOKzzGkTmN+D6NqofTVw1jFhbQkeTPX5tG6/Bom+9wHkaePOzpw1uDzeLMrB7KBYqtOgGQU5K/elHH/zt9Z6mt46Vu7jkft82razdl/W249/c8G21l2RQ3kp3Pdy1NALvH3yBripkUDjmRe8eSjVKwHm5mv+1t3ybRcYNh/ALvd626SObn3sq63H72kJX5vIMb5U+Nt6vjYBw1u/fNDynFO3s6P3PwBJQb7yfW/Q3mfbXIrvYRu/1Pmv39YFPssVTh3eJ0v5trWsZrf9uv3u/5kfnII7MERx3vq1d9ug+l5q7a3mXoB75ylvvf5nry64QBCBYITW1yD/VOizJW9fVoDEznFuoD0Y0LwUgLUDh4Kuk8Ht1k/BHkBb+7UV6IIEVo74oUyVD54qPQjnusvyG/QF0LseB9DB8xTmQYY+uwe1zqY3z7RwD153Leyze1T7EeyWkzyAsJTPO/ds1/FAd2B+ltZbe8jlvIBhVtNbUau0XTllWeO2rUrr6D7Udpcy8fVbgEvnqnlaXh9wXuhTS/3/4tur/7ITZvk/c4kDm+1X9es+Vvstu/wNh+TrXarnbXUu7/ayeN8wlq2yQDOKS+pjoGlZt2+oWqkfgKRAuc+OR+0od7a82K2H8rj5pB6hOF151ve2tb3fU5G64P2GQvZH/u/2F7ADrimse46Y9u4U4xOce67gdDPzn/sNllOFA+UrP/lWn7Ovtm3LAI4TsAPo/WYLLwhQcJw85RS/M1f6VN03j+efaUGtgORTvT9zpgtUmM4G9a0jdcDHPr/ObYETK0hlK9OnPT/g3vwr2GgrzDkXrH62rwNNX+4HG246jpXanmsSe2zPghS5nIi4M90LUDzD82nrPgF6CvTgWvf/p/3+8MP0/gKi9/4y308ELcyUCWzJPScLCuF+MK+n8qDPQN36oLQPbNxdy7zHyHvuWFN8e2/wvMwxwjWPaxP3DiBf8A94zkaeO4ngKs9NXd8FwwXec0mpfqB+9Qic18/6bN9bbl3HtiOEdzf9eQJlivrKnNa82pU1vvQYAlpWgOC+j7necsAQcD3zkT8B0B9Qf08L9XPe8ntK9KkWP4Nyv23rvK57lu0PwfGHyj143js4eH6pzp/+9eUqVxtcfeDqA1cfuPrA1Qfed7TB1RjXCXH1gasPXH3g6gPPfB/4ThD9DM37Tgk94bmBqrOFO+W1/yckPwN24H3m7jZ4Y3rzsBptUCswwUYxMNBgr4FLgPgMv/t92Gtu1ZfBWsoVduwz3985/zmAbBB12qqC6gZf5uCSwWxWoEtN+fzn1kD8AjYf+exSa7Fwp0Dvu4Fz6vWZG9SguX2ZyqgJ0dVnBhIo0659DgAKSJhq83NpvSDIzOtuYFF7TCXVBc9/fwPIAXQ27uBkgIvdeJ/U1ZTkrNeB9D7lOac4p1qnVp9501nAs3u3vpYJRlTkeqbAXhboG86DzOpEBU4VCuzJMW6eCZdTVjUwzJq9suDtBvrq0bxyOMv3zAZ+KvHNY1vg/Mwt3/Sgq8AAsNi2QGnBAEee9zd/a323rYIAqMD/wt+7qbTBa/nE5Tpn8W7f5TZnb095Da6zVl+W8m/+9lG39oEle+tYuYF3HuiWpaTvOwV89Zn7QlXOKaD1yrdK+e+/uS1BDwtkP/rKglaCJCjW2+eOp23UTs0TiBV80IB7baiNKOhZdMsPDoyvAIENywUbLJX6zjnOzpvyfObSBmKnKh04T2kekOh6DYwHMPoehK79qb+D1ubp90w90vZAVmrbv/XiLy+Ve6Vt/Zt/+2+Xwj1IT/HcZ23Vsv1eQWSv7XzkAZ9twb4Cs37pH61jC6B3HwmWCCZx7oLoVIsde7nng9P1p7bp2LLZrw+077Ur6/vVbttuvX3sO0U69XxtvIBp94k9DwU0mALEgq3TaYUauN8guuLYLXXjtnfnNlC9+y51wLLq3znS+/9QoW/V+crbHdTdfaPfrRPIpWiWB50dP6DvHu2eSAUL2lFrz3zkniM8h8zfnm8E683/J2z3jMENpucmQYKV1J6V6jSDB8/K8qmGn3bvYB+nAMpyv2f+6ZljWpsIjFiBKh/8tRVkoe3lVgcVwXXPEx0bARTH889HPnuc90t1voMqgPKuKQI9HK+mUcJaru/y2i818mtfPiCg50wW9J4dpQ3yvNVzEFt3ltYcmajPzxD9rDx/SIH+Z37sT3/0em76zu8v3kHO7xrzHYSDFkcnwTCd913rDoi+nzWaTjUtWIb9+ErDdFJrd/w7ztTa3iE4V3G/mikQ2n79r22wO18BUXcAumti9eZIQrHeNb9rt5ztXQP0z7ZNeS4HetC8bQHznKwEA5wt3CtTgc6FyzuOQB0BAXKgz/2obuzvqePP9u0Tnt8D6Pfs2adC/AzVz9btc11ndfkE6Pdym58V72dwfg+kn5XnD+U7v8ZmrrGZqw9cfeDqA1cfuPrA1Qee+yFqg6degatcbXD1gasPXH3g6gM/DH2gF/Z7g1DT0t3gBjvwsxJ9WuxN9cecfw7CNMhyVrU3P5X5tB0HbhucabrBdQBdPssGsQwuW2YOUoLnFXUwcMUu1kC1gaazffuE8Gcl+9lm1f6qS/WayiyKPNAmqON7/zc4TinSQBe1+6rzno8qqn1ofZReczB9quHvge97AL3vBoAVg2QzcGDauBs8ozibeVINKJ/V55eS6vuXB52yOPAaGMuOuYHUAPmRx3srpilP2TcD62C3Qpm+YPSG7NTp8pyzEAepQVu51QFn81Chg67gOIBKQT4t6c0LoMsJXr37zbJb3dinCxpgUw+a+695CwRYFuSP3wX6M/c6C3dW61TVrOEp6Gub/tNey+58W62D9vKcA+R9r37BXGp4bcLifm13K+C1R+0wLeWp0KtX9RH0QAU/re1Z2bfN9o1Kfu3DVhQ3L6tVYL/5qNkDTr6zZwfQW65jUV2ozJtnuRRsZXjzVPdAgUF/ebQXxNiKdCo8AQbLPvf1f30AcKAc7LBtAQW1scCDZTXfOh99ZQUqNT2wW93YuMuvbdqRY/uldw4FevecBSgeffGmjt026sv+/DNfPerc/WkB6c989aag33nKmw7CBRmCFSsH7d99bQHz4HnbaP4s3IPqzQsKCigAi9kJA/PVjR12oL82an2tawGRn3vpOCeD5pwo5GrnxkCB3ry1n77GNaF9W+frtJ7fwQbdi6pfbbiCEIKipSl5+aa4754FrAZXuKhQJ7NFntbd/ecet2D9BujUl90L23/3Uk4JALr+ZV51XqkRNjyb1vLVa0HcYUO/rP532zomh+vBtgpfaQb2euzLhOMC4NwbJ0QD1gHtPsHZmfP8nPt85jcv+I6SHECvru7NXHCmWnzmXxfAAJqD+wIBpkX7tNp3POdxmgp8YNyziueYjmXtqv3B9OadFv+VpT7PTWIrdKf6VgADK/fWVV/tOHb8nTsrWHFfEwRutYxzlBuEdXUMa8PlQjCCBLQlla7jMwMWmy6VTs+13Izkjhas+JCN+z2A/hM/8eeeuyDbd4bo891kulwBwt4z5E0XoNFx1xdcxyud132C5kHfmVucsh1gPSvQZ1BEz9Gs2wUSTavz+q985kr9V78UfEutLkCk/s1NpOtzfXu9G330jXVtAL7Zt1fqa61rBgac1fRn+/YziPZ+M10wBMksSP4PPn/cn92j+t1+BOy7xx2pvrYq/OyE5vtZgX62kz+r0ed8E5zPYIAJze3nnOche/Z7Fu3vpT6f+c6D570LgedXvvOnPxZylasNrj5w9YGrD1x94OoD77vbBlfDXCfH1QeuPnD1gasPXH3gBNFnTsF7EP0hG/c5+HEG62drdmrlCdAB53PO8DkQ2aBT8y7l1EffWHAgOLHyvz5+Zw1CgfVTLQ12G7ScsHdalwLoEzbfy1EJoDew8if+6795WKhStcz6T8Dsf7alBuep8BpEBgsaRG6dAHqfQW3gXa5Wg/RnaG1wfg7qTjX5tGGfgQBTbT6hufnvBSZQq88c8Abw+2SJT31+Wbd//647nbPnPOgLKL7+r5dS9gkg9uZvHWCVghxAB8xA8ArLdlbtlanmtq5+N51qu2n+t/0FgF+/gWCW5oBy35eyPTj98hcW9LAP4Lxc4NTbYPOE8uoGdIPflMjU4AuYtz/7/7bTstUF+AfIQXwqXtbXAg7a12Vt/egrB0Ru+oTVrOEFAFCfCxZoWynR+01tXr3YvDs+LNFrg+oqR/zMbV6hIGff7rgcQRSf/uYBmtnVU7LPOpqm7qy95RWmhJcfHZCqfewbsA9et4zB/qbXnh3zQD0LZmBcfm2W9NWza17TjnzwG26zd1/5rHf+dvbuLNyBCfWvBNIppw/Qm3p65z2XZ73rbIpwAJ0CPIjS9bh9EbDSvi4QsS11WQB3bQ+8dE1sue4H3SOCB6nIW3/wPMV58wfsA+qV1O8LgH/w127n16/8xqHApZjvPsBqfdnav/LmWm7Z5r7y5lrfysH8cy8dEL4+XYDNdKWor1SkahBcwXpXv2LhThW5jt0G5u5x7msFKlDE+28qpN2zwPVD+b3B+VSgO0Ztp2mUxWzVAe3agkKdxfqCtNuufVr2c4A58p9vAE7pXv0ppeVeF7g386u3zY4xGMeBRS5w92RBgKaB1jOHOIgOoE9wfk4XQSvX0gAAIABJREFUowDwLNrldqZ+B8UB/an0FtSgqM9ZKct2HmynYgfmWWHPY+W5AGynHF+K/t2Pa+d+C1KgRl+BBx94df2nn9XWtfNUowPoK+XEVvKu9BD/8DZvx2bNt68F/abW7diua8rOb68vCVKp3tIHzAADVvsTlk+I7hk2VW3lvezb75UjX/ZP/tTvAG4XQL+fzuYhiE55zpZcYIpgXcFMFX2oPsM+fbp7AOvLtn0Hizgn5vuNtEbgLmjdp3cPjlEcNlZfzhFjuyFQalO9C/xxXXFN1Nc9u4Dn3ELcp3ov8j4z859Xp+ZpHa1vpbDoHWu/13kHOwN0fXNCdO9C3Cxa32zPlU/+tS+v+1fvb7Xhuj4N57KpPu+cmSD9bIF+D+afFeRnu/V7UPxs4W47c7mzQv0874Tns67n/98r3/kVUHyNyVzjclcfuPrA1QeuPnD1ged+CNvgqVfgKlcbXH3g6gNXH7j6wA9TH+gFvgKi94I/IfoZks/c5xOU+w1mm97gCvXHVLEb4Op7g0qsEO/Zj1OgN4AUNAfQG/QBa1uuMmFvKgvg2yCPwWsDWU+ouAb8nmqNmUe9gZSgcvMLAjgsWrfS3rzTspEyY9k+bkVWvxsIo7xLRQagy38OUE870zk43f63jIFybTCt7GeZivKpQjcQxpLxnkp9DgBTqwMDbGAbaNam/W8A+LIp/P6ds2+9+ev/+cyDPq23U5g3oBrEBXKnlfpUmlKmU55PpXqfQecF0jfMtu6ZDx2oNc2AblAu6AdyLzX7VjlTY4O7rb9BVgplkBx8BXHlelcnilp1n6prqvGWA9kFAcj1HFAH8wPwttsAdMtMa3f7vWzttwK/AW8QG2Reuc63zTU4PYF/614weQcnAOjtW+0ChAd4am/54oF0AJ2akmKdjXoweQH03UbahSuAdbDUp5K3fjnal+JzQ/SZ+9qxAPWp1FnnCz5YMHtD8v6Tw7s6Lliw+2z/LzX7zlcsf6ttsZeX85yl7rKofXSD8vK0d8wEKlh+Wba/8qW1TWppwLdrb+AuUEcpHUANsAdPAysAd1CaMjGg3j2oYyNVArv4tl0d+x/E4zrS/a7rZ/e2cp63Htbtlf/4//7Hbyu2XZsESNr3ZR2+69p9of2Sqzy4E4xno1v9ug53f2i5jkV9vUKB3jx9r73ap/7reNfn+xT80rHqONbuAh2mKpizCmv8Bcy3shtAX4riDa7kBl/QZQPZ2kpwGOtsUB7Ybn/7D0QHa+Q/B2hXyoFPvtu3ag/uAfoBYErZPtXoYC7oDmZRua/Ajm13D+w6Bq0LuPa8MfMxe/6gAq8dum9O0AfUzoA4uclB9GkJD3hPq3Wq71lm0N3Mic5yvuVaFzDuHu+4HdvYx9D0giJW+42APpCdJTtoz8J/BVh86I1Dge6/dU4C/Vtx3vSOsWPAcn8F15QuYvSDPl0f+p99NEDZZ8d/necv39wUloL9w79629auB1hZ3T1rzuPhuRNs9NzaZ4Cwz+mE1LPdWYHe96lWfgigB9ye9vvCDztELwj4r/7Nl/8DeC7H9kwR4ZwT9EHhPfOgd53tGt51l8254hwQODsVzVN9rnQsBcTYLoAuEERgR/3Sdda11bmy3hNyY3jx7Rt83/N27V6pc3afZ5MeEO8dZTocAOj97pq1trlhe+3Exl1ggOCACa3tk6AB7wHaZDmMfOKWLx5A166s29uPFdglqHrDZgAdRD+D6LMt+1l1Puc7K8tnnvQJxs/bOBfrfkh1/pD6fKrOz/nOwfOnfQ5d5WqDqw9cfeDqA1cfuPrA1Qeee6ANrs5xdY6rD1x94OoDVx+4+sADA1ENQoHoMy/6VKKfP6c6fUJy3xs4Mk8DLfcs3OdnAzFB3GmLDrI3qEmBbiDL4HTrnhblQG+DH8cA5x50poKj2jIQamDGgNMZoPd/dftjf/5vPDGgfeRW3wMzBtJsl2pLzltgQS5AcKHBZhbubbf1rPVuBboyc6naPgv7yhl4n+3bW+/cZ3Xvc0L2s2K99pz/2z9q/qmA7z+qi/rUpbT4/l13asuZB33ZfW7IDYyxZfedLTN1aYWNcwV0naCdqnyB2E9/87auT39zAcO++59aOmheHcqRHnw3/7QdD7pOa/bqAQpTXwO7/WZpChazOac27vfKYbtt3FO7A9+tx7Rg9bSoBsQD3uC2ulJ1Nx1wpt6vbWor+aSDthMGA9LBTnnEl43545uqPtA7gwfsK8DfdsBwoLNyQNpXvnSozNpnwQAK5XzLAOjs26uffT2CEfZxqR4gecuzPKaaB/FBeDnG+6QuX+B6w/japoH+pncMV572naubeh9Yb/kARp+s0eU/B/PX8X7x7QMuyKO+FKLb0h3Enkr51kklLc88ZfEC6dTnH/nsmlf+8/pp0yjQg9i5O3TfaVowoO0HoOt/1WlB+BffPmxxl13tRz67rtndb7ofBjFSn7fOe8D8oZIiPUXk4Vjw4tsL+skzLvczUNw+rZQG//AL697afUKwRcdynv9Tgc7SXTAJVWP/OR5tr//ZYy+4+NFfP8BzdQD2QSJwXeoRcLx7Ru2zcmNvuNp0gWVTob4C5sph3n9bOereKT8w9TmFvOCLriuHNfwG8RPyW8723J8XdN+q9PoHS/iVl/6ld44c3Ec6gm0/bj+mqhyY7h4/Vd/AE1A9wbl7vWcNAL7vgg0oy1dwwM4frs+ZB7z2DNFvtvI9g4CNlZ5RWhYIty4Biz132D+5pLkB2cf635/6yy/clOv7OFLeSlvTPEB5x6hPx3QCdPnt2bi3vrZXMEvHx7HW/p13cpovJ4bXvnoEfgDqHTe27xTq3C2ASvmp1/VhuwoIiDg/d/W843mI81AQcAZUguRneD5tvqfb0QXQf38QXX8OCtf/9NWpPqe+ZtFevwJ92bdLl0GB7ryYLgSChTv2M++59wYAvX4kuGnmOu86vXKav/j2kZNdEI9p1dP1vT7fddr1umt6ZQVZPX5nncMrDcNf+vlvCwgOoPeeI8XBCgx48Qa0z+9yAgTOwFqflj5LsBBnC/bwrPD7vhT1H//cE3B/2bP3zhh03iB92ref4fk9kH9Wod9Tn5/zp5/znlPZ31OhA/sTlj8Ez3vnad7Lsv0aZ7nG2q4+cPWBqw9cfeDqA8/9iLfBU6/AVa42uPrA1QeuPnD1gR+2PsBCbtq534PoE5BPlTkFer/Z8k1b9qkE8B+VDnjeAAxQPtU98hayXVw5ZnfO2QZi/Nd6J/gFewHfBq3lIzdoTfUFOn8n+/bqP63lqbCpj2YORINmAL9BdYN2gIPB/wboq0/28BPc2ydtQt1tf6jJDeJO5fncJ0BffQ34KRO0n0H8WYU+AXrrsY9TeV5JedGA5qU+/8HkQc/GHUAPEsj3DZpO2/UJzidA9z+IHoT0G+CVf5xVaAO2qVZnLmXbCgAvWPz6tw4oDG4HbAFrCnGKafnPqZ6nmnhB0Ve+dOTE7hPApURnKc9yHsgGvdmWTzU5G/TqxX68+sthTnm7rOp3UAFbdPnhAXc26WzFm75ykW7IT2EuGEG7Wh7QPrsBrHzab33jsHlXr5UT/fG7+eDB9763XQDfOjkDUIuzxxe8AORTwC8l9Z4HIJcffeYSXnbvL3/hCFoQTLAg/0u3HO/gawP8wETrXPv+8rsA3XGmcKbsbzq1u/zTbP9X/9j27Q3Qt61A2MzTzs5/9a+Xv3Czi955uymO+7361P6/7w32B8tB9CzXu4a7XldH+c7ldHZtZx0eLGRj7foajKcu/71A9OoQHJGXeYHdbYFfm9VHqGrl1Q26B1O6r+gP65i//q3VX4LnncvtR/vDun0FZow+2Ho679tO7Rp4kZO9bYLo7LXZAwPj8uKC3MAVSMq6fVoVsytmoQ1yU2PaJsgUAKOGp87suHAUAPdXv9jPD5TGtdW0GmePD8rqbwd03f1WTnV5lMFq6Uym0hwcF/xGyWoegHy64nCX8QxQWwLoYDlLdWp+bQiYq9OE2E0PcAsqAOBBx6lW1/7SsxxWzUON3n+OZU46E9RTwa9AiI99/kiX0LTOmYrj6Piy63csVuAR5f+2Wu96xFrb8tIosL+eqvPW4VPqEK4CM5+69qI85yAhp7znRs8/8zlK4ch0tm+fz5Xzd4E1c76eOSdA75n8UqB/bxA9WCvAU/oIwSZ9l2Zj2v6zHVfqd65HMzCm5/7OTcrmswJ95goXeOLa1/akDxD8JPBjOa3sa/1hsf7i2+t3fbhr7wTo7tUruPjFWx2rX/WawcAAetNX4OGG9oD2+f3Oe80557h3IsHOqy1GIA93iNV+j985AhME53Q8Zu7zc3ovcJ1SfEL0c+7zsy37vbzocz3nZaoDB4H3UpTPZeb65jLA+WXZ/vTHNa5ytcHVB64+cPWBqw9cfeB9v682uBrwOomuPnD1gasPXH3g6gPvMRCVPfTMiR5E/7Z8dHugZcLy87SzDSBoC7gGvcFx8xp0pCiXf7vBnTXQtZVODcpQoVUA9KmalqPb74BzhVqaGh1QfgigGygCxZvf4CnQbPCM2sg65SS1vwbeVv7zrZwzkN8gWXWiQGezOOG4bVq/7c+AA20w7SQN4E17duuY0N/0Oeh7VrOrT8drWs7OvKD9P9XnDWxeef5+sDbuwSLq8xTX8pNTMFOQy4EMjIHp4PCywv3k15d9eMsA3qydzdc6yv/cfBTeweoK+3PLgXZU5IFMUFhO7KVYHnm9geVAZtPkQafOBtkpj/0HvK+Agm1TX2kb7OAFDYDYgD4oDipXx2lBr57ANzAOnisAtX1fOdkf/+bah74D8mzpBTy03j6tc6rPlw37gPjqpR7U9aCuHPNH3TYMnep86vUJvdW3urBPX/nOn//cu0rwnSt9AfjHN4BOea5t5LRXR1C8fWm9y0Vg5ycPfnWcwfqmOe7moVSnBF45zbdCvt+gWP07OLcg765D+5eiVb7rwFyQdVlDbyv09m/t44tvH7m7u88A6OUSZ0NPpd7+9F/QpWUEe1C1Ljj34V9d2+3a2DW9+2Mg/PeqQJ9K9O4j1tu+tt3OR1b7QZRgRQCj6e6ntYlgio6LczqA3nm80hJsN4KOT32qY+Wa0byAce2vLSi0KxSSFOEAzYLRW8EJsAPYcl77TfEs2AyUP1SgqYM/dMuz65OtN1t+ivCOe6V+Ko82UCsvenXjSCNPtz7R/rZe6mQBIysYYVsmt/1lH79hNFg91ecKSA/euX9OK/Zp4z7v7ezbwfilEq8fb4DNIl+AAoiuTSln5VynGJ2wvGUD4MH1pvVdPvf+Bx/Nz2J9Kdp3W7esbbe8/QXG2dx3zFi4a2eW+U237uO/0i688qUb3H7pnXX+yRXN6ro+Lmd1ENSx6bgvaP7i20fqAXbwAitY/E/rfscScAULZ0CjZ7N5rDyTzuemwN108pm27Yp5zB9E9xzVc/n1/vbdQ/TeXc5K9PodwCx1EnU3Vfg5FzoFOlcMMN47jOftaXcOoDfdeatveeZ3bRRcJtXACh7bTgvL8nzYx7uHVqTPEfRUqb6do97HKOID59PCvT7q2kURbn+eCJbegHta0s/AAO8U3CzWtacc5/taLRDAdXu+rwH0B6SezmZ7u+9l3X4G6Pfyot8r9+zZH8qlPuH5BOz3lOc+H7Jsv96BrrGX6/p99YGrD1x94OoDVx947keoDZ56Ba5ytcHVB64+cPWBqw/8KAxETYhOhX5A9D3Qcc55PlXp599AeoMtDTpSjgcUZj5165750KnUGxgC0A3KU1rMgUwAuAGRBnhS3x0W7h94da1P/vNz3nR2h2cbRjB5Kr19Nn0NvGy7wwm15SWlgpkKsQZvVx7Wj3/uUKa1/zNPYfXSbn1voGrm4Qy4Txt5dVKmKn8qzGdbmWaAaQ76PmThDqD3CQ703bam+vwaOPqDAeiAOXjNtpzSPEimgN19Z+0tb3awF3heMPX1b63vzQ/gts6WDaL3fxCdzTlgDlJbb4XSGhw2bwPXFM0zr/fKXxyAfuVLC6j2vf8AdvBXXnW25CzstcEKInjzt2726Vup336AxUebDQBMqX5Y4W/1Ovt1bWb9/mufHQ/1AK3B8dquZZpWu021f/P0PbAJoDse4Lz2nbnd217w3Hot0/xcArQtJfrMcX+ok3eQQ+BKHvcU3JUjr/vjd3Njs6VfSvWt3m9dXd8ox1nSt+36SMe19bXMUoe/fANcS0m6lehAOOvwpSJ+6Z01T9dNFu3LVn7DfcuznBcI8F+8/wbs6mfsxJuv9VCkN615W0eq5SAA+/bU50Fk8LdlOobZulNhtx8t172pfa3+rat7VNfVP/JH//ha10M5z5v2pX/5G+8J0Jun/OlLFRu0/tjnV7tVl9oheF6dy4Pe99qh+nbtbt7pwNAx6ni0rEAW56zP+vGy4v31f3dAapDnUG9vO3QKyba7YPj+jy03UMnSHVQBSmunBcU3EBYo0PZBmYIV5NBdkHi3MQvvStPliQfNp803xTLo2vTuzfaHhXx1CjKBXIJMFkDf1sfTGhxga/1g0oTiE17XPoIC3T8B7mnhToXuPg+0T8U3e/bKkUt829Of6yOIbwJ7OdXNzwkHXAff2bpTaLNZ9zxDMU7FD8BP9XvzUPyu3M4fvLklOBbVvfO8ZZyXAiUEuXDvcWxWKoFX3jzcAfot5zKVuu9SHfTJqUDwR3WeATIcKtjoU/97bmSrPwMZpyNTz20COQVmnpXovgc357SZBz0Y92d/7MfefwH07/zuUnkIovcM3vnmvGPnDp5ThVNOd6/ofjot3FtWUOzZfcCz8wy8bbp3AOpzKTc4KVSozWcqCikxmo9Cvjp1L5/BjxxD5BhXv8oE6CB67xb11dYllYbc52dnMdbmU/l9zoEuWNg5IiBYfnkqei4O1W9B9A3JvVNSna96nED1PXB+L+/5Q5D8PG3avVOgC3i4Z9N+VptbboLzMzyvD8p1fr0DPf2xjatcbXD1gasPXH3g6gNXH3jf76kNrga7TpqrD1x94OoDVx+4+sB36AO98E8lOit3IN3g4EO50M+q9FmaRqXcdyCYMn2C86aBw9RbDTSxcKdca10NMBvEPMPi/ms7Borl61Ons/ocQJ8DnhMuA+kTRLNzZ91O8W571C9sJKkzGhA2SLvm/0s/vwa4APQjL9/7P3RY3Z/VaWelmv05W7JPO/hpQX+G7PdU53MA+Jzzc24bPM921ADSdc35weZBnwCd1TfFMTDbdGrxStbN/Q6MUR0Dw+zXgV3Aud+VBanf/K31PVBovnKfU76bh5p8wdydV1ndWnYqull8VyeW0lS1C34MRTHQu/I8D/itvgChYqCZ4lsJmFKIB+gtq91aNuALtlNU22dt2HJ9X/naH93Uj/KfA+y1oboeueprkx2gsGxY3/ztVRcWrVTv2oZLQGXmcAfQqdC5CmiXaeVvvukUAPyD4IIIqPY7jgHitkuVXp0EOnAFoAIH1luGxfo61o9vqr7+D66zYGfVPvOZtx5KcsrfrpfymoOW9Q25qFvvsjTfNvRNX/C/nO4vvbOuuc0PtAfKKGebb+ViZuf+4tsLRgfJC2bo3pOVearzIF/T+l47UIK3T2zqq28gpOt218ZynwfQU5E/pC4//3cPtAfZuy+Cv50rgmSCFxTz1bUAl+49XbNrx9p0OhIAMfMaAcw0j7z1LPHllw+KCGRb+cVT87/49pEPntr8CFag+t522e6D1NHdy4OgC75suAXCU6O3zuapTZc1/A6CWKkS9rapkcGmpV7+5O1zQfANUAHmCatA1OUMs23apRZo2dqiPjADNQQFtN7646G03LboQDWAzq697XGjoZAF2uSsB9Hd39m5t87azCfluboD054zQDkQHBhnuQxuO2ZND3xz0BHMAP4LhgDQW7cgCMeShbvvggeC4tLWqPNKiVBAxSdubhCmd84u1XntvANnBNTU5hwjBDLIZd4yIHrXQsd8ulms7bfu3S/1BYCTs4H6s6BvPwQpSkU0n4M843YM5Z++V+Q+F6TpufOsVmfj/md+7E9/9Cd+4s89dz1LfXfPRvfs3IH0jo1+HXAOTjtnnc8A+syD3vkx0xgAzJ57p337tG7n1OTcXP10B37UDwWPcGeYASOs46clenWqX3uuqLgmS7fQOSydE+X5VKBXp9YFbs/85+fA5wnQp336fJ8A7F3XBSMIPHBt6V50wPqt3n7C3YzD2chNfi//+b0851OBfrZab7rvZ1t4AP2etftDAH3+Puc77535gufXOMt1rb76wNUHrj5w9YGrDzz3I94GT70CV7na4OoDVx+4+sDVB34U+sA9JcdUojdoMq3ap4qcYpxCw/SZe/s82DjXNQcjDUAZ8Ep9lxqwARnqJxa108KdEtwAT4PPrEgNaE/o2zJzMPOsQLf+qUI3rU/bm/boBs7mgF2DzhRbwQADZQ0uN+jV8gB6g10GfliHToAuuMD3mcsdBD9D9FnPe8p0g273IPpcpn00eKis7Z4sRxvMfNp9+Q/r+TnzoE/Fs0/getp4g+FAmWlAOhBesQ4KbADd/IFlIP7IQf6prx1QWV52y4C5R902sAdy5VqnbJa/thKcWjnat9JYPnEKdOte9u1v/vaCmvLAs6Sfiu0GnUF2edOtQ5ltAioHt1sfYF1d7V+FDfa0T5/rNU37z2PUMRS8AHDaRvOzoV951t/87VUPDgFU/BUKYusH+Nnaz6AJoFoe+NrWcajNK6ZToLNvr93b1/pGde87lacAiNY785S3XErulqUoBbZWfvWX3jlyka++uKEtCAqsLdC+gTtL8Wkpbz+okNd2Xnhrtc+y8Q6ed//4yA3+LXX7Vr1TlAcA2K0Hy1s2ZXcQvLZoWqXj0nab1idrabbewYTgRcu273Kgf6fyf/xvn/n//smjl//TPYDeNT/wEXBp+/UP1u0Bn0Bv0wLpgfvmd/z1TU4S1UnQxUxVsBwRdsBDxxSIPGDlhueUw93TlrX+Vp1zW6HM5hrD3tt3SuhAFgANbk2wCSSxU7ad9tn3St+leQFgBV2AVcEciusFoLcDgfzcq8/t1AUrqOTxl1e71q/lnNcWM2igPiNntjQx1OHAVs8A7OIBue7pbJB7XnCPd2/v/gq+T1V42wGytTOF+FTWChhguz5t2xWBC033rDGDGewHQH/Y928b/nOZ+dcPyL8V5zNogY10dZ+5z9m3+6yw4u+z45Ljg/Ne8IxjRn1e324d1LCdx/pjn83DEaF6yDdNsc9+XsDBGZrP51XPtD3L9qx17zlqKs/vBW165jznQQ+gX0rW7+7ZqADgh3KiC8g5vo8c453HbMfP8LxSn/AsLrBFcC379nvwXLDQzHk+r1fOi1V20NEKjtpuHn2niPfs4R5fcZ9c6S1yoviZ55/oW1OBXqn+AoSWIv/kBDZdw6izZ5mBtHM/VxqL7RYyS9d26v3DKn4DcqD6yIO+gbZpE4qf1fDnclaaP5T33O/5+dDyD6nRz6pz8Jxl+6U8f/rvSVe52uDqA1cfuPrA1QeuPvC+77kNrsa7TqCrD1x94OoDVx+4+sD3CaJP5Tk79r/y3/9PS6He54TjYDjlDsX5WcEuJ/rMMzkHcwPoBrWoLRqUaQBn2pDLV04N3uBnywPV1j1h8b08f/4HpQH0CerbzlmRTkEGeFNmgDYN8jag1KBc3w1it16DXTP/uiCAOag+IfpUlZ8t5+dvhVKeamaq6id8n/CcEn/mWJ/lDM8v9fkPfpAYQE+FfqhLt9J75ttm4d2ga9A78Ne0IBnL9gmT/+Krt2WDawHi5j1U0xuKB3GDdIeSOuC6AToVevO1noA8u/TqcMDfDabVmRI2GJu6+gC1j754wNulRt55zytA8Mq1/fimYG+74HLTAXRweH3f1vMr13ZtQCG/B6dncAAL+7kPprX/1OWVBrNZtrNIV1fA3OD3tHencqc495/89XKWA+7ywFOkA9aguRz1Hbdl8brBugH4lqlOlGzTJp8iXZuDiEEpx4Rdu/yrC2R96msLKFaXFdSx+5Uc5V23l735Rz57s0jeMJItNlXvsldPvb5t1vsMcldA22nlLCe6/qHPVB9QbQG7DUdblmrW/+yhKVurhxzoVN1y0gZaat/Oj86l9rV9s4+pv5uv9mLh3n0tNftUld9TmM//7qnVmxZY6P4RAKntAyv11+BP9tsBoOrFfr5rd3XWB6adv/7QPnScmta6Oo71w6Ww/uQtN3Blqa9feGu1L5trUMixA4Kap3veYeG7PyvTepxqsXr3/YBO2wZevu8Jn9ZxKlhi57ZXF30VmFpBFPueS+XJPhlwqlgXVTto22827RUKVYrnlUt7BwqAbAsAb2gOkst/nrqbKhvA6/sMkpvPD/N+T8k+wbRABPC3MvM6d8zk86Y8594z86ezhpfjuboAyFOB3rzU5Y4h8G16pVzoAkhAf3CcjX91U/dp9z/nWXmnNzx3XnIl0QcoejtOBeCsc/qFW7of1yPOBAIfpnU7qH8EeQw3Avsr7Y/nVwDV8x+I7pn2/Ax1tnGfVu6zeBalQJ827ldA4u9fiT6t3DlQCMjpd9fvj/7jm4MFiF6/Ma9zVM5zaZY4VAGxgl6c464b0mDMtBOuoc7f/nOd0/dd5z07SNfSNdr1sPONdbt+NNXnAHr1X/fRj33+ibzkAkDAcwB7BhTP9xKpq1y7nO8zGGUFPW1r+d4RZ47zmUd8lqksn7bpU3nuu/cSx2DavlOcH05eY92Ckx/Ka/6QCn0CdMEtLNsFDV+BLtc4yzXWdvWBqw9cfeDqA1cfeO5HvA2eegWucrXB1QeuPnD1gasP/Cj1gXM+dBAdKGfpDpp/W17zv/ILT6gafvynf/EYgOz7zKfeIIz55JkMfjfNgHpquga02JIaYKb2aZkK63aWpwao5RM1z7RuP5djEHNYop/zi1Njz7znYDeL+pm3dNna7oFbwIBtavPek7gQAAAgAElEQVRMgG4w1WCcfKhtayrT5r7cU5RP6D9zt0+l+kO27dOacuZ3nDkQ5eqcVqMNXF6DSD+487K2ZeP+P//6b759tnEPrFKEUzIDv4CvvMlU1s1PXd1gbUCy5cBog7YLCmc7PnJuA+wsz+XrpmYPUAdrATyqc9AVaF3q6p1Du22Cw2y8fQel1V3e8NYrz7t864d1+VbnBwf7vdrn9W8d0L1l2leQWbDABOja17bMC9C3LttVN3WwHvnSHQ9AXzCDbbfcspX/9DcPBfRU0U/4PhXtLOuDtUHejqXgBJb7h439p795wPq5zo5B62igfwVWPL5BaeuXb54qvrodx/LT3zxyk1OiA40BhPXfJ2+K5qncXgrhR185lOXL1n2DWgp4eYpXDuuXb2AwANE2+58VPNhPmXdA8ZTwL71zs2zf6TPA1SCZvMsL+L/y5qFAD0SnBgwGBECrOwv3YHmFkrvvQetK4EBg1Ku/8utrmdZ3hucP5UV/yOq9e2RAontI9Wqbrbt2Xbbrn/nquk9W7+7Hbb+27Hixe++73xXHtL7Uulaf/pXfWMeVCwBr89qHsrfvTRMQAY6za182wfu+BwrJCQze9n/3wtpcbuJgDHttkGsq4EFzFuvLxn/nhQe8KKSXCnso0Be0+vCv3uq84Xel39wvFsD92OdvDgx7G22/377rvwB17U89TVXN8pkKFbCfCnDPKfcC5MCpmUP9UH1/8NcOaA8AsmUW0EDVD3a3HcGH6gDus2sX+Leg1w48rHSOUKmD6bXpUsFvgC4wRV51UF3aHfnSgX/BFvUjfWgB9BGI0XVjpevYFv0zp3nrYdHfdaj9Xo4D+ziva9ewcdcHPYNxHhDcAdz33wwScJymM9J8/gLQKWzPlu3Tun0+c5p2D6Cf86Bfz1W/92ek3l/OEH0CdEEZXAk6f1xHl+p7X0vZkHduOD+4MAko9Wws7ZRgF8EhnDxcP9i465NNB+qb1n/cQTjFeJ7o3srOXbqBzt363vm9BkCv1N/q34D9Cuw9peGiQGdt/lBwcf9zz5AmS9CLnPFH3vkBzyekv6tEP+Uav6c0n/WaVu33cp9PsH4PmN+zaH/oO3g+VefeeS54/vTHLK5ytcHVB64+cPWBqw9cfeB935c2uBryOpmuPnD1gasPXH3g6gPfwyDUWYUeLFcMePS9QRIq8mPAZCjRp+03FbpByWkdCBqzgzdoxcK9wfYGaKYVO1g8QfYa5PzZG5ym/jLgcy/3+Tn/uf8p52fdqb5NUw/gn3oewH/CDnXnhTWIxXZxWrirg+3N7Wgz0+w/i3YDeuD5Q9btFOn3wPlZQTUDCwxkUUhNm1EDSde15gcf3JKNuzzoLJrZNFN5G3SdwDeQCqDPnN/szfsPAA64BnaDzQZuA26BaPCNSr35A80HpN2K6SfU5nu6AeGVs32D+uoA6q/c5FsV3TwU0wuyPv7Nmzp626Lbz5YNZFa31OUs08HwBqIpy4//tyK86dWd3foEzbOdqPvlLgfgzVc7CwKg+j8A+qe/ueq38qXv9px511uv3OoCGsBvivVZL8CbFbfgidq2dTTNtmcwgTo5JhP4t66WP/cN+ebncs0LqAYDWk6gQyAsQNv3wFX9prKg5ytfuinjt/X6grDlWd/27HKhy3kfvF1q4iDctuUGIZqW6pRVPJV5JQARDKUwb13SZkzb7vX/yJXeZ9AOQO+eU1vK/dx2g9MB9D77rxLIDrhkWRt0Wdf9j76xAEYAPRV7JRBu3WzZv1ug3rxdz7svBj9SSwa823Y28dWp+2NtXd3a7oImH/v8E8EeQDqXgor+2fr63X4D6Kz2a7eOMWttULLgA0p/CmKANdVnYKX5qJ2nNfgBfvc04BXIpD5vnSAUFWfTgkg9DwiqYLs8Yav+0u8CG1qubdavW0YBYPtfzu36H7Uoy/C1jQ1op5KZirp6T8v0YPS0A/dcMsG55wV27T1HSD8jsEDAAXC8rMh3u031p5zzLNLZ5rN/B9CB8wnTp2tO8EtAQ8sCzAIFpm38BObac6rVtdFUfHMOcK6ah/V8+wM6cj2QskE/ECCz8tvv879jdxzLfS2YQR3Np73Y4duXBVR3G2sfyuOpQvec2fPXfNY95z/3jHW2b39o2rRwn8GJ17PV9/acBKIH0N//d1//9yC6c6ZzWQoJ1yIQvftA/1U4NFR6Nzm7Xk3leX2lvuNcOJ71x7VMUBA79yPI5COfXX27ba+AqLe+cdi1c/fpvnzkPt/nExg+32u690gJJTCjOrSsVBvevw4V+gbG7wXQqb6bX/oJ55A2XEFE+73nyH3+XSjQ/X+2bj8r0GddlFnvsxr9vRTlE9rf+3+qzoPnvQ+fLduvd55rfOXqA1cfuPrA1QeuPnD1gef+kLTBU6/AVa42uPrA1QeuPnD1gR/FPjBV6A0+rQGobdm+7Nz3wETfZ07zmVdvAvLzgA01AhXPnKf1VRqgSaHWoH5wosGZc15wAL2BZ9bt/d+Al8Fi9vAToJ9zUBpoAp5//JQDfQ6g9p8y8wI2qGRAnAKtQaQG6dZA71ZXGRSvvm3TYFd1ofQ+D9gacDddYMI9G/dpN/9e4PycO31C87MafQJ0A0qX8vwP9pxswO5s4z6hJ4AOWE94Cn6f86NTaFcCtYBtsDklOQifsjkAHHAGgam0K80HrreOgHfLB8P7LzjXoHCDuBRWy25+g/VA51KCPv5XC2yW85zVN9gqzzU1un0x0Aw4s7A3jeW8nO5s4ynn7bO6953qmnJ+tpt80f1HHX9Wr1OHt28U+0D5tLyn7Acz+70CCR7/5qqH+oOgjnGl9pzAW+AAS3v7zYLf7+lAoB1bhuJ8QvyOiTzsAh1qF3nLA+aCOOQhXnbxj764/gtKrNzZj2/K+r6D7kGwLNrlOF7rfPSVA8gvoD7yWjdAnyK1+eoj5UNeARY7B/pSsddnQLoN1paieK8H5POdvftSGX/8cwfkDnp3zymAq+/N0/4EqPtNhR54bp/dn6hXDegHuHMGANCD3feA+Vv/9DOr3APof//RP17XaQC9e2LHvm0Hhrs/Vrf2vbr1O4hSm3TMnJcCZZyLSqrGIHqf7VMQR37pSgBS/urauv8O2/I9fQYotP/VcSqiwdalTP/wr65jycYd7F1q562kPpb9xBfWduQglw+9dVbPpSLetu8Ljm7bempyAL75rQ/E6n/gfPW5bQfe8eTAwNmg+Zc7Q/mSX/vyqpP8ye7tPXNwlulZAEwLnMuFzkpdICG1evOerdwBKvD7aMOPvpvfu+8zpzPYPfPOc1poGsU4qE9pviyqf+6lw3reMwrr+dYrx7n6UKo3jcpdv7CvLNwpZh0TThLyq8tN3vLO4frammenfXC85jF0rnf8uAlQp3dsWlfb6J5TG7W8oIZzagGfjgV47plPAOP87VkXzDsHJJ4LJe8ZnD8B3wdAZxH9tN8HftRKz0nzHeaA6PtckeMcQK8fBcy7Bq40AI/fWaXrK8tzz+NAr3cYgcGCTgDxzk/nJKW7axiXiBn0QqHetXzmO+eA0/VI6pDlyvJLn1jb9pzvvebsaEWB3rnBxasylecAdtDY+xAAX5l536ntOWzUPtrR9aggnN597sHzIyXY/m46kO3eeQbmE6Y/lOv8HiD/bss91fmE55fq/Omf11e52uDqA1cfuPrA1QeuPvC+H1gbXI17nWBXH7j6wNUHrj5w9YHvcQDq22wQN0Cfdu4s3eVI95v6vIGlaRc4lecGoyZcN7DcthqEqaS4q1A2nK01qb8NXht8NjAt9zeL86lAPwP0syX6BOjVb6rfFeBcmVatDTI1CNfgHIhD5VS9KdDngNcE6DMv6lkBdc+W/Ykc5Q/YtYPp9+za5wAwmH+G55fy/OnmQc/GHUAHQwFpKmbgDFQFeCnTJ0wPjoPgM3/4tA9d0HdAdypz6nNKdnbtU2VN5VodA/PNE/gMVlFaB2wbPA5wBE/7XN+3EnGpYR995VBCg8htC9gFyWfOcRbybZcV/VTaFzgAPls28C+wALBnuQ429z+4PNXhLQOGU5e3bUDf8Wie/gsmU8m3jvZnBgHIOd8xsv3W22C6QAb1Vk+QtO8FIlDeg/EU9bVn21MvML1pLScggctAn9wDBD1wBFg52h998RYE8PgGI1f+10/elOnN27Vv2Wpve3cAvW0Jmuiz417faJmuk8G/Q52+1ci1u3kBdDB85cDe8Lz1t66md91l2R7Ao6BWGvinMK903eaAUn1TBjY9yByoDo4HM+QOp4LuHsXSuWVbJngeMO/7Qzbt9/Kft0yD+YKoAjTVcynf3/rGYYld/SjTu/92fW+fBGd03Ktj56H+B6Czoq9/CXzo+ApIWN8Dsh96Yx1bAPPIYf2Rd22x+wwQBdDnfBNSsk+e1u1gs/0Blqalu/ze4BNFOIh/WLRvILX6TdeNofasb4DewHfwFSBvffJtg+qWEzwgn3rbal9Zk1N4S9ESOLdvwWfPJ9LLVIJMXHU8P7BGntbv1PnaUECAY8COej1jjFzehyK8c+/Dv3qsCwQ/W8r3vTo5LtVtQmb50pt3qV//x099W9363b6D4+zuay+OE6z5ZzBL/7c+OaFBcJB8OUrs+4FzzXFY14AdLLPs3Pc2Vptsx4TWVTvpq+ys5aR3HAU1OEbnoEklqAdCzmepGYx4D5T3ebZwn/B8PmddAP37l44qiM7GHTwXsFPfqE/Jg961VIDKVKB7rzkDdMFA6x1lr5NDAijfNiq9CxzBVjugy7W2+eY1WpqcFQS2739s3wF09Tm7asl/3r3AtUIA790g56HyfsjCvX7vPc37jaAowTfdN7uGlH6r90HrnhbuD+U/v6c+PyvRp/r8HkB/L5v294LnAfMzOGfZfqnOr3GUayzt6gNXH7j6wNUHrj7w3B/yNnjqFbjK1QZXH7j6wNUHrj7wowrrsqljg3hWoZ+V6GtgZA/IyI3eIE0DLXPgiVKdgtoAFDX6nL8BmQa8ghgNaMmx16DmvRzkE16zSe1zqs8rBi4fsnAHzyesfsIifqiQpgI9IN7/bT8FVmWpyFKjvHjLEdj3BvbX/8PCndqjAaG5vYp29RvYPxfW8xP+37NqP8Nz+Tr9L8hgKqbmoG4DSlduzqdr4/7zn/gXvxJAP1tysxqXL5wCXT5veclZmjc/YN70QK382uy92T833f8z/7ff/SeXN6DMAr6BYOsEaINxwbmm9Tvw0UAxy+SgyLJtf3wbPGYpflidv36D0ID9VMXbHjW9AIGW6zfof1ahCwxon0BtQQAU7LZz2Kq++dtH+4PdMwe6oIEF1gds73Mdh9e+egQ7pDynYOciwDJ/Liv3uO1bpm1Ub5btVO4Aulzx4DlQb398Z6EvWGLmX++YBVwB9FW2Yne5D+w85ksVXR7tR185gHbQu9+s3oNiwHmK8hwLFvD65NeP3MgNzgfBZ1AFBXHwbEH0QO5Wsve79bWe6r+U6lmRp4jdpetv1+FKkL15WmcAvRIgD2R0/f5Tf/mFJ3KNs26vrYMs8uUGP4Bf+az7r/UF2wH07zb3eeXvvvDCf5r3hO5nwRP5zFNJZtneJ0V898s/9uf/xhMKdIEY09Jd4AilY8dXPvCOMahcGy/rdvnpN7Sd9vvUxuY9lOIA98gFXvvImw0QUzNO+Av6aFOQWN5qVt/qQ9kst7BtUyGD4AvODngGSrWvHcOWl6Kg/lRf54RRPzRP04683htMUWZ6BjmDcHbtnHQCTVLMgNgKBx3K78MSfQcZsGoHAKnSZ+DByvW9rcmrF3v56td/0859WrpPZTqbZq4+6rYCJrZzgE8uA55/Vv/4yGfXOVa/qI2PgIeP3BTha74dALGU6duxZ6n9d+qe9qe273+OAAcgf+VLqy9K68Cunc07K38BHa4B1Pjg+Xm/e56bgZrzedD5CKCfVefz2esh+/Z7AP0cqHgB9N/fOwyIXtobEN2zeKW+0rtF/Yy7RNfsrvMzIKrz9JyWinsWJwkBQdI5uP5xQtBnpwX74Rzx0jvr2uveysJ9Bu71LFTfl/qi7bOQP/epwLm+VT92DlCuH0HNOz85BfhD8FxpW4J8ao8j3/mwba94T/Ru+JB9u3fICdHPtu0zD/qcx+974PwhgA7mP2TXflad9/7rHKw/Pe338qtcbXD1gasPXH3g6gNXH7j6wHM/oDa4OtfVua4+cPWBqw9cfeDqA79PG8SpQq+cAfq0ZKdokMt82rJPu3aAeirSfRqoWkr0519barYGuQIDDdYsQP0zzz8xqDkBNgU60H5PaT3huYGiqd4Gkg2WzvoaUK0ObXOq0dWhQWFKJ8VgOxV667hn4U71Prc5Fej+n4qnyqzrhODn+c7tcZ7P4O+9nOfUGJet6NNVoU+ATrUMqjbo+hf+3hcXhASBKccDlIAogDbzdgcHA8BLff36TQFVAZyB8pXTe6uPG+gNRFOpV5+WnYAWPAa85fME+lm0N0gMusp53n4ssLohulzqBpZnoACb6mkzDyA2f/thX/1HHQ6atz7qXICx7QsooO4GwX0ukLzbrHXNbVm/Okzgz6K16VTkgLrvjiNIzmLdticIp5D3f1BenZrnrCYHVu1fELZ9r70FLMw+ov07PtpngYdype9gBwpywRCObSAt8NgyAiamhTsV6QFmP/hrC4Yvhd4n33UmAOX73rW09ug7+3H5u6sreNe0Iw961tIb+HatbhsU6Ernghy4QYvWRbENpleCExSGgRL5wLtmB2Go1fucavTvBNKD590XQBL3tiBI8Dxgnsqv9fUdrG9aAL0+KzhDmob6R8vWFxxH1v0s+1NMVu+mNy8QvY7jVvlTTk54LYf4hNjyjgOks6yAsg3WD/i0wVL7CHC3DgAf/GbnL8d1ENx2AqftC2jEpQCoYuu+6vGxzy8o1fJ9sg1vuUAWqNWn9fRfbcF+ftkjv/LmAaLbnwXFP/DqE240HTvKbypnqWo6ti3f50xHc1afg+OHDf3OHS6wQHsd7gAbfnMuENzHSp5tfttJNa5uQHqfjg+FPcDfsgco3wp8gRQCBbU3le0KZNm27h0DynLuBdZFvbv2Y7c5p4PVdz5xC2hYx/Fjn18BMNwmWGF7Bmt5FvB9Cp4B0QUCaKf2v7bo+a4Cls7nwYrnXADznPbmIWj+EFS/FOh/cBC94jqy3DI+/rmlDA+kd03vWipHOkX1dM3yPN7n4Zp1sod3T+haytXCNdF5ubaZU8ujm/pdupTuj4KkQPX+b/76Z9eNaas+4Xn3jAB6gbE9y3euOp9YuE94voJATurz+V7k3UiQs312bZjK8wOo/9JLT+Q2vwfNZ5n5zM+W7bNQ29+zdb+nNL83TX0esmv3nnNZtl9jJ9f42dUHrj5w9YGrD1x94LlnqA2eegWucrXB1QeuPnD1gasP/GFQoQfRf+qv/+1vUKFXWLhXgGU50APszXPYs++BFOrzmQOdylpuPnaJBpwD5w1oNbjVQJbBZwOaVEDnfOEGue4B9HOZeSgB6LPV+dnKc6rQG2g1wNx3CrsGh4/8sUGFj3/uGHhu+QZ/Augguu3PbZyVTxPYq+cE4zMn4tla9L3Aue/aAjxvUKl8nA0oXfD8hw+gB8WW/fLjG+SlIO6/YGkKZbnMZw5symgq8AZtg4MBVMAbjJ4qZiCVMltu7wmtQXQAGHTue0C3+ratIB0IG2RNjQzAsu3uezCwElxlB89yfObxnort9l3u9wm8AfWpCLdsy8jzbdrMm962jzzme9kFxEe7Tpgt+MA2BSIA99YFbh/q873uBs7bh/6vTgIVHPfz/s5c7OrdvOrbMZ/57uW0PwN01rGO71Qrr/7wqa8dOemrYwP9C2h98pYfPSAdrGpeqvGlQH/+c+uzaa2/ecHylc/8xbcPUN7xBsZsawVbbDXwUr0HrD/4a+u3/MfyWvcfZTub52AZeDYBetfoYAfAHYjOfp1de/ee9r+2aVr9oP+DLVTo7HkBz+4Fa38efXHNG0QPYLT8dwLoX/qXv/G7f+SP/vF3VXM/88EDXgZe2n6fwZ/q231FLnP3w2VN/smvf1tgSfvgGK8UBNuZoutAgKcggfal/zq2M+f0UjBum3TK/2VznoX2BrcAKgjePCBlcJzluDzo7M373jLmA6epzcFzVsgTFgehqJqX8ngDczbfLNw7FpW17g2jAfSWqU8J0vGdBbN+V191rNmUV/eeTcDyAOxUn1N7nwE6ZXqlaYLyWl6b9R/gBoJNC+pl57yPCXBu31eO+K2On9uivp527h2D+QwG+vd9WslPdb3f7NDZUvfZcaheAUTPQtI2VL/atvOz3/6bdu+WlT+6z+YVfAFOdkxWoE0gfl8LVk76DecFfSitRz2nGl1ed4EFgjTP4Hwdnw3Qe271/NRzk2ex98qDflae950L0GXh/v1/ZgqgV0p9E0Tv2emsRO9crtTPQHRW6+zJXVdnOifvKb1ryHve8vXL7gmCkbp+sIUX8CIXep+uMd37PBtRoXe96ho2LeUfAujguf4FoOv7bVuA8qE+36r6mXf8DNIBa+9XgpSnlbu85332/gdgt9wE5/cA+tmm/Z6V+4Ts0/J9Qvf/n7336b3sus70PoLnHhroQU9sDwykJhkFMONGDYJOokYAw9CgpQC2BxYEMk23JJC2ywLLJChBJfzkKlGWSNGUSZtRUGAA0jEICWBLMmPJAw887Bjw51DwrLuezbe2zi1SakqXVbUGG+fc83fvfda599zz7Pddv3kfm/Yju/cj1flu2T7K88u/i5gyfTAxMDEwMTAxMDFw/efeB9PJc6NNDEwMTAxMDEwM/DfAuj2PYAL0P/jcny0791SRC9F5UaOd+54Hfc+BrhWi+6vM4uUmL7rMg87LGV7esH2+yGTqyx2PzdQXTKqqd6VG5j8357cvith/V4LzUjWXZdlzl5aFaisefbEtNMAWWJV4quF96eVL210Fn8t3IJ727An/7/cy91yOzl11nmqM+U65PEDnRTAAnReugEXt1IHTgGsAkApmpgmEhcIJncu+uXNlp2r6f/nSyfLcz1o9Z85z4a05xgW31CdB8VJWN1gGVpZl9NVJAVtWvDdONt9aupeSuXNeC9jNPW6OcUFvWs0DiQXoBY/bgt2c7dqVWx+WW2gD7RZC24cCdqG88FyAzXk8vhBcaL6U4Q2xBdUeJwF6wWqnnaNekC0c5xheDyG49Xd+5UZ/8ZRT1VzlR6p1z5e52vOcWrWranfgAsvY3pzmwnDz2wvLVf+ao9gBBwW7zW/eccAywT/H0WK9IPzzb60c58Q+y9KqmXXEj3bPlVe54VrBzsfvnNSlv/ulOq6F4/OdDTgHSJsHHYgC/BZwAL/NkUsR4vG9zhSgzXe9dtYFdT//7aobxwPG83sGIPmrd/7rPWp0cqC/+ld/WVOW/9mtr56gwMefXMCCutNWzlX3xp+8UBbuQB7qAnRBgc7vgwMf0m2BWKKwnfc021Do91Jhb7bXnAtwI8jhOtKmygfeVunCa9X97EsfMNVKfNmdt2pa4CrI1fbdvNTaJxec7lzrmVuYuqYaW7t5lc5afatU55gOdOBcqVgu54tbJxjLdWbgAPsbq5zDtBI5AMCc2tRRC3fBks8AQvVUo7te+CZANw1NWqLbbw4gSPi2lNo379Z1sN8Edas/Q0GeKnI/uywV6Ja0n8/5NSigobfuOpnX3HQL3ov0H/ca96OxxIAW4bcOBFwb7a8dNKADgi4BQkWul30giBfec/2Y+j3BlL4QnNNfqUJX6e+1TIchn8N81vR59n4DEs/Bc4D5Pn80aHEGLH64z007ROf7U5BOjPl9rgqd5TpKOPg3/1+YssnY0aJdiE5xsI2AXgeOypnO/frFN+r7Jgep8f3MoDS/h7y3iUv+GwGh/W8j9M50VBSe/3EiIbYd4KT6fA1svg8895jpzmWaLVNV+F3h97RwX0iuYpz5Pe3Xbql+P4Cen4XymRP9CKq/H1jfVedj2T7vSua/7cTAxMDEwMTAxMBjj3AfXLwCU6YPJgYmBiYGJgYehhdPmQtdgC5E56UIL0dUaCQsd7mqdLbNXOiCc19G5YtJYLX2obx8QonOy67KN/jEKZeoecS1MDc/oTD86KXmEUCn8JJUu1xfMjGfedCZ7rnPtXDUetW8ojUAoF8kL5jz+J2CHmUT2tafew5026Itvef1Za6A3UEBu/J8HzSQbV85zf/d794DzHdwvqvOB55/dIoA/cmvvPm9Ukk2QDd/t4pj82ealzxt2oWry0785XcXdFWNDHh1G4vwXLCaOcaZL9v2zputLXTalauGpQCQtRhnP4E59vOAchTItMvcxK5nHZ8pgm2tzwXn2rrbD+YJtw6q5gXXQvdUZwvZWad1t7BcKOnAAfvZ/lTxq202x7IPVfNbHKAgvE5Leuup9fo9qvduS4J/r4vbWk/PZV74VKAnsBfK81lHAz8zT3w5QMA86Sr2uV5CdN0CgNlMzR1NfcyPrhU26/ie5PhCcOA4g0BYXgrVGycVqaAwrcLZRqcCjln5zwXtrUR1W/ZnXhW6+Zl/5RMnJbT5z4HdwHIVisCHlRe3YUbm4+a8WgALRrQvF+6xP3Ccghq91NifuVXA299RfgeY5/wAdNW/qhb9Lan88rferDrze6JdMPeU6sjlOhH3HeuNY4oDbRgUwHUSRtJnQmXqzW8wMMe8vkJK7k2V0f7Gpb24+ctVQGtvnwpqBgVooe0ygazt9rg6uXB86uWgCK3cC+b3gIVULgu9dSZgvbBdZb25zolP4pJpgnXBMLHD+cydrSJciCRE9xlAJbc27bQ1YbUQytzCqjqd0j72s99sP3W0fdlOgbOFegnthOjmQhfqO7U+1Nf1Dn6gzgw8ccCDgx/YphTdPWBAx53KZ/7FU574HERo+gQHWXANcrAL5yuleV+bNXigUyWoMueeot1cHwdPCNHzu0QpW2sAACAASURBVKIGPbR1vPcQx2dqW2yjgxp4NqX/89kvn714zqyBob/zqbOwXFX5++VCz+1OQPS9568B6D8/iK6de0J0vsP5LkyAnnCY2EgVNnHCfeN3ld9fObCqvpd6UMvuHMG8du2mi+B7Oq3biW/uHQG6rlpCZJ/dE54TUzpjcR6P4WDm/K8mQD/Kf07xPP738f9Ofsf5n8z/NarbVY0fKdBddw6ip/L8yIp9t3k/pzLfl+2q80xNNarzy/+/mTJ9MDEwMTAxMDEwMXD9In0wHT8338TAxMDEwMTAxMB/Ywy8nwqd6VIXBDTXst2XNJkXPfOlpzKdF1MCd19O8VIGZR8Anakva3wJpMphz/F9pARKeJ4vnFzvcbSXP6f+zqICXUVX5Rz8zK2lsCsLyD/+62VHrEoDIL7nQFftsavgrUfmKT+yZ0/V+QdVm1tSdf4bv/7rn5gcgA8OQM9c4gBmIXYqs9NGXdibVucqq5kmJGcfQbSK51Q3f/Jr/7CUrS4XvFIAxAJsoJ55vJmmmlloCvwEogvQtQY3j2gpj6++U/vv+dAFylqcL6jdCnQ+W2fBNW2j7qqx7R/W8SI7VfbCbNXp2W/Zdvd3P3O/C/cF9NZN63aPLYBPGG7dzEnuoAjPsQ98SPhuX+e1dMCBAyOMj1L0hyqdF/v2q1A2i9bqAEfgg6rytOFXEVyOCVenwRAcl20EZ7Xs+W/VdgVrG4aV+vzqO0vZzjFUArOM7XQq0LKdee22lzK+ISuwrPJAtzIdIFqW2U++VPBcBTowBZCCWwjbUy/iATCSalu+4yuf8xNfPNn0PvPNAumVExab9XZMoI8A56rNAeccg98LvvuFCfyuAW8cLFbg8OruyhmtQtrc2xyzrMlvf6f6n98WwImDYqiz8cg1NgUCnzmOKkdz0AvJKRw3wY+26WWNHaBccCs0dWCBynH6gXb+m3//nxY8omjfLoStfNkNYhdID3V7QmIVyAuQPn6nlpVSvKFyKdS7TebWLhVzH8f0Arp0sC/9QR/bfpapZtdevK5/W39rOy9k0xLdAQOuU00umGa5tscCdgcFqkAXUNN27aSpV+VnzutjbmUHLUQecVXV1iv7nPNyToG+2yVAF/pz7SrdQQ92sK2W9bzDtep87UJC68N8pWTAxSBt1sN63mvNdg52cJnxxzVzkAT3Fttl/NXgFFS3DdG12jfXejoDeC13NX7mQN+f+Xgu4z7jfn2/Z60j6/Z85sySAxhRxM7AxQ//vwx9eg6i833KvcX3ON/BFJZ5b1N0uVKJzb5+FztgStt2858zzz3DttwDDrwptXurzSnCc2I6HS+8h3Xf8j9PwvN0sVoDiv/3m1Uf7w/qnwOctXJPgK4jVrpz5TH9r2N6B3Og8z3m/7s8rjnHM+VXAvQdmO8lleXCfmG4Cvxz6vMdnOf9JThncPgMEr78/5op0wcTAxMDEwMTAxMD1y/aB3MB5iacGJgYmBiYGJgY+JCg3blc6ICAzIkOABCma+NeIN2cdwHMtW1XyZ05BlVm5cstCi9qBOy+nEnwfQ4gp23mkdLCl0QqjXhZRHHe5YLttG8HhvOyVSUXqpVUgWnlq6WquU598ZUlAfme6zxzs7+fdWhC9VSf7+0/l+ucF42T/+/BAeiVd7znCyC//O49+b8F5sJeQCsQWZtx85+rXE+1OdsIeBMWC1/ZT/W3SvSE8C5Hwez2pX7tdVqEm5NdO3egICpQCvsBtwSSbMdywJcAneML/c0Bb50TsJfy+4Xv3mNrTRupN30iUGf7Usd/7b1+cGCCkDmt2/ec6qrVhc8q2lMRL0gXlFtP+si+9Lqlojw/0/cqxdmWvkn1sX3g+RPwC+95eV+K+W4bfVlwqvOyUowxlXKq57guKnlZV+D6xsm+Xagp1OaaFVhv8O0ACWAB61REl52/AP3WKWe6MLysvBuQsb/HYMr2HF+FsTnZzRMNSAOKaxuthTuAUICObTv9D7gGXAgn6TsgSaneb95dMFjgyXzBkqdeqDoD6+xDIAb3GMp2js+AMI4ryOQ3ATCh/TZT4ahAhn6mfzkmUIVc6dTXgSTUmd9AjuUAC64R8cy1NS4cpMFn+qzU151/nnPT/8Aj6uzvVtalFMWdW7oAddu6lxo88nULNQFG1Il+oWiZLESvXNytCBZyeizhqzbEQlXAFNfE9AEMhBCgEke7IlsAX6C+obpt5xjEtYMkjFW2Z5mQ1mXUv2Byt43fdK9jWrSzDevoO9tG+7VqT9W6QEqr9MxRXnEf9vfa0JvTXYBe7e++NU+4ynPPuecvT2t3zpUW7mzLsVjHPcNAE69hKuwdHFDrOu+6A0uslwr6GnDR9673pZCPddTZQREsr8EM7QKhu4DX2EFVqVB3W2G7ClwHNNTgmR78kIMaTJGgY4A50H32Ex4yVcXLM9U5GL6ry4Wdadmey+tZLQAfcG+ewX4+EP1IiZ4Ane99ITrzO0A3xVQ+6zvAyFjONBg5iIRzlBvGzbv13cP3DRCd72i+k5mv9BQ90EeXDePS1FQU/7fkYGCf+/l/QYybkoN7wVzu+T9MEC9E3/8frMEd/f+D9lME5/YBfeL/srRvT2juvOtSZS701onrCIbn9mk9b771c0r0yXV++f8tU6YPJgYmBiYGJgYmBq5/pPvg4hWYMn0wMTAxMDEwMfAwxAAglZd5qUKnALNRoQvR8yVJ5kFfL1YixzkvglwmUBdI85nj8dKTcwDRS+HxzEnF4bnSslw1whFU5qVlAvQE6e6jfTtlz3sp1PcFqhaOfPZFa9qvmhNVNaIvclWRHQF0X1hp4y6459hC8x2g7yD9SIWfKvW0fEzVOeAc1fkoMR5MgA4s074doAzwMYc165baORTlmX9byMa8L3HTKtxcyqlcXzC5gTL7aScugBX2CoABsNSvIDIqqzvvLMU7QEQLeM7PdmWh3GCUgQFCE146A/nYn/WqpAXSgEGtyYXYFgcMCJFV3TNVmZ6KdPuRAQdur2V6Wtyr8heoC+oF6BwHgMo2DiyoXN99HEudq3OLUw/nVburHrYetltFfqrVcwCDgwmyH8w17uAEB03Yj+bIBkibc5520OdMHcgAMBB4cxwtmblWAFeuF8BPFTpFdXoBevLFvvj9OgbXmbpxHO3btbJVictnrdwL8D7/VsWGkFfHj8qr3DB/KdH5/v3dLy0VOnAC+ErRvp385AJ0PqPyLmvfV3+wVO2qaAEUHIv901JagCv0Fl4LwDkWsFAlraproI0WwhXH3X9Mge8cjxhSMY/tPLCHKev5TeF3EwcHB8PQHmLPe4I+J5bq+jBY5sunPLzUn3lAJO2nXvQr7ax7sC3Oq98FoQErtcj3OJX//MmXqn+AlByvwHEPPFBlXrbfDcuF0hxPB5fKc9/n4hh879HP2rJ7vWvwBNuQJxvVfORnN7+2ectLnf35by+rduqr9TLXmvPWwJ6rk4KUPuZ4gnjrmrBfqMbvu4Da333bDWxKpbrW0Am4VYPbPnN2l+XzV9/LqazaVWv3yjP+zOsLsJdbQrdbYCxAV3WdFu4OArBumes84Xvur3uAam7dBwT+AkAt+nUt4Po5mMH89uZN997JQRva7Jtnmv1Lrfv8t9a1q/sTp4k4T8FI7eNjcIYDGpg64MHc8F6PdCFy4GQ+D+bz5RE0T9X5OUckpwnQVccOQP/5/Z+5H0TnHsvCcooqa0q6Rfh9ls4IDvQwjinez3zv8B0sQOd73mca4lr7d+OaeDb/eYLnVKDvg4CpG/dXwfObdyvWiWtBdwL0cznQ8/+ICnT/42S6B+3stYgXiDtoOnOfa8e+K9B3S/Zcd2TbnvOe6wieH6nOx13r8v9jpkwfTAxMDEwMTAxMDFz/SPXBxSswZfpgYmBiYGJgYuBhiQFeOAFYUaHvVu6ZxzXznS81eise0uodBYG5JH3xQvGFDMt4QZM5ClWgu/1u334/RXa+tEzL9Hzx5Munaw3RfWlEMUf7XrRxt96pTLHevtRlGS+1OBYAPS0TMw/6DvOP8nB+EHieL9mOwDkvlcau/cEF6GWJ3apzICL27Qmhhb+qhbV0B6YBZ7V1BqapQNe2XOCq8pztVVoDOIFyKrSBwML2hPNVlwa4LtNene0FetTRnNuUyvHcL5ipMypi2qgVtvlBU1ErKBcCC4pdJ1gWWOcAAMHyuX1dl+Da3O9M3ce+0SY9BxzYh7Q/lfIJ4VXSa5WuLX4qx80hb50T2BfUbnW7/W0udwcJeE4HEqjcN5+50JX+Tpt2gKwW/PS9OdO1ZSf+mAIHVJObQ7rspttNoIB7Q3QdBDyGAJ328dK/AHqDb9XoQELigXMzT90KkLNvK4YrF/pTry2LeKAF+1a+5Vb3lm27QO3Jl+qzQBpobr7wL339r0sxDtQw5tiH45XCnu/3tpKn3UAQgTfrtPBlGdeHetNmrcLZDljOdsASjs+5uX85Ftuo5KV9wHXgCu0T8FA/87bzm1jOLT2QhuvM8Sh5D2rhTn04B22hLpyL/cx5zrkAQ8Jmry+/aXwW2qqGFp46FbTSZwAkfyMFnAJ0Ybmgk+MWgH/8zhooURbsN15d15i6CWodMMF1EBypQC8l6LOvLRCrtTdt1KJdxWh9x6CC7nzdbsv14/fbQReqrAsSt8Uy8FUFtrbjuV61uQPsVJ1r4U4RWmvzrILbZwhiBXju4AsHpthW8yUTF1XfBu/UgetAnHuOVJALzwVjOursudKtuyp2r6/9oQreerOscpo//UrVu/qm855XSoUe5EL9K756YEICSPPSa8tP/HGfOHBAhwLznwswjRH6QxcAr8c+OMABA8ybj/5Iga6Fu0rgHaAfKc+PnkePlOvmZh6A/ouB6KjR30+JbjoO/nf434P7xDRN5j8XePsdUy4pDc9ZxvF0j6gBY+0qwnc8sayVO8v4jue8TpdyPIB3/n/ZBwPz34JYNm0J9eD7h7je8597vHM50HVH8P+I6vscaJKpusxpXkCb8wQ4d33Cc+fZJ///5LqE4qlW3/Od/2T+84//KFMi7LnOL/0sP2X6YGJgYmBiYGJgYmBi4LGPSB9cvAJTpg8mBiYGJgYmBh42Ffo5K3cAOkVIzjIV6ObESxW6L1LStl1lOiVz65XqvIE0n7WM31/I5EvK/WWmLyx3m8IEzhzrWr8oYj6V3yxLVfoO0H3pqgVr2rfzUlf1OS9oecHFMXYL96xT5lj33Fq7HynQd7X5nu9cq3ZfKKE6zxdKY9f+YNyDO0CnVA7qq1NucKChduECblXFKsWF2gVT27JbwJYwXAAvSOWzOcPZBlgr/LW4jOOY9zuPoY27dUq7d8+RSnpzZQt4HTAg1KI9qqg5HiA3QbBgO3OUC6+tbwLp3fa87N6/9U/L8n5B5RffU9zb3x5DtXgq8gXraW0vnBeCcxzqrm278HPPXy9QTyv3vMba93su4b3nSQt5r5N9JnR3QIMA3aLyXLir3bJOAZUD/ebd03VqkO7ysm+/ebf2K9vstnYvINsQmv08BkCM4me24buUa89+5ld3O9WsaSsuUFNJXRbjT71QMA2wh3IciMcUYAFAB6QzQAToISQFiFSKg7Y2B9jTT1ruGpe6J9RggqdfqXrRXzonsB1xqd29A0WEuELtVNkLQWgrQEXLdcBggZZXf1B1A6L/0q9dr99N7wkHyXjf6lSgS4WDAswnLbAXAGklXJD2uVN9Mh+5dWR7ldv2WUJ0+lgFuKp1wU6BV9xmIm+3KvTMj62lN1BKNbJ28cZAqj/Nh0573F97ZNZTX9NCsC3tYMp2tonzs535iCn8ltMmYrAGiHReY2G0OcAz/7jW6Pz+OzBQa2hzbguxHWgnkLa/OS9TrrnxQr1UrNqnNYCgoTlxrtI/QXjOm185BwDuqnMt5ak3RSt0ju2AAgejAAm9bg6SuGdgRQ/GMAWAwNy6qxwv9WynY6g0D308B6sYe34/+D2S4JLzUR8HNlRdn35ltcuBD7ZVMMiznM96e9ExaVeg72Dc5emUdDSoU3AoQB8L91/s8xT/ac5BdAaikG7DuOf/h4NhvH91mjL9Bd9RqscpHIfjcU8Sl/zOOEDKZxy/h/g+0WWCfVbe8gbQxFDCbf/LGGP8T/A/iL+T6zur47ZSXzXwPlKfHzliEfe6bKm+1y2jHMH6eMLrexTnDdLzfLuSPKc7ID9Sme85z12XqnMHo/B/NXOdz3+dy/+XmTJ9MDEwMTAxMDEwMXD9I9UHF6/AlOmDiYGJgYmBiYGHKQYYtc9LiLRy5+WJUBuAzhRonsU85YLytHRX6ZPW7uZHVxG127jnC5vMt/d+yvOj/H6+IHLfax/79FKAJ7zebd2F4MJz5rUC9QU2L614+cuLfRVnvnxie84pPE9reV68Zh72VJwnQD8qqlAyn+BuYziq8we37AAdCFbwuK21UaGrcAaWsg5rcgqgtCzPG3ILWPksmGW7tIVHeaxyXUU5cDjzg6vCVqEuoBU2J9D/+NX33rMbB5a/+KMqKq+BjKxnO+sBmDS3O1Nt280fyjzt5njAS7bRvl6ltaBaaM8667tD9lSS20+uF2QLudMaXcW5ywToqVxP1Xsq1RPgp0oeMJr5ze3XzO9eMLTXOyAhBzV4jnQH8JpyHPpaG3ive9r+C84pwF9eyqcdu2DVnOZCPa6PkKtU67dP4Jn9+QzsKvjVINxc93XNgasobz//7YoVrcMptNfzmBN9qc1v3j3lwO51AjXV8apmtXHXfl1Ftwp01Nz0Pd/hv/ybv79szYk3gLSwVftd+iHBdAH+hnrWSft1+g51O1M/6xDBdioRVV5rRS4YZB3wQst5tis4/tU36jsfGMg1c+CFcWa6BuroVOU7x6Se5gBX1WzeccEzbVbdy35MBdV8pr/Slp36JggWSgtT3Z7PK9d1w3e3E7BSD88pEBemMxiCawl4YjtBuLbrxAZw14ENLFsW+rferj4UfGnrTv9QPxWj9v+qc1uUr3o2LCfGtDY35znPMQ6g21XoPAPxTMB2LBN4E6cqrlXRC4RVr1Y8XJ0GBKiEVf2tTTrHcQAf9dsB+tFn6iXYp16pzr6nfdjShxW/MVNK+M53z/a6GQjWdSCg30sZ3qr06tO2uDYGua90PDA2dQvQ+SBV5yrzXed1IgYE5qmwZ94BBD7P+UznAEqfBX1W9fktYfkO1BOsH7kkZY5p0wjtAH2Usj+/ZylAag4MPoLoWQTo5v6u+71TVlSKhwbkqs11PzBHeqbI4HvWkgPKiFe/YzjfslsPeJzW/xT/wxA/fJdoK+9gKO5DjiVA3xXoO4zfVe1sY5oq3bZ0zlgOYl0/BzX73yxt23f1+Z6znGmq2FOdnhB9h+eZ5zwHoYxl++X/r0yZPpgYmBiYGJgYmBi4/kD0wcUrMGX6YGJgYmBiYGLgYbVy3yF6KtFViKtEX+qEyHueOfNcnnbuqqG0TvQlkDbuqWQ/si3fc4Af5QtM+3Zf1gjJWWbeS+E50Fxwni9VWcZn8wPyMlnYz0t7Xu77gtr8iTtAF6JbV1/cWlTDn4PnCc5TcU7ZXyaljeGoMR5sBXpBhNvfWdbQAO8C6J1zG3AmgFVRnBbrwvTMpy00Bqya+zohMAAdkMp2nDMV0wmgUynNeQqKt3KbZcDIUqvfeWeBX23CVanTNm2+Aa0A2FSoC3zNp53W8ZyT81PftFZPZb0Q3aJq3kECCbcTSFs/2ygUX7nHWwVuv+5Q3f0cbJDA3pL1znq6v4pi68TyGgDx4klRv1T9De3tizwH7SBmMvc5QJH+NaY4Hsu1mF+K3Ftv17KyfG8lulC81NZXJyApBC/w2fbLHNdtuY5cPyAC4JI6AyaA2mXt3jbufI8CBNiGa85nvl+BZ9q4sx3rl0JXe+cbd0/2223Xbt5zrL9ZxzKs0P/+n/912bcD0/ndATyqQAdKs07LXUB72vC6Tgt06iFs55o46KOcE65Ogz6YZ5lQmwKw1bq6VPRtm267gKL/8MMf/vit/+dv63cRgMMx+D0EJBt/xo8xyr0jrKfeqrCF/arQU8XNtqX+/fy3F3R3kFht9+xrC35yvYXVBSw/+81ldazyPFXaglSKIFaIrpV5QtdUqauOL3VxD45QpW2eco+jkt96ms9di3Bt98t6v1MOaBuunbJwmPN7nlRXC6spZaHMAAIG/LWiPOG1xWcGB9eZ/kXITz9SPwG6Odztu7Kaxgmi21sK/+6XlYO875FUlasezbqoMne94FxVOveIgwQcKFD9344OXO81QKIV+CrpWUY9Kxd6W7eXU0Rvq/26dSYmHYSSDhQOnDEFBPPEOwNoyq6+4bmqc6bU3Rzwmd/dfPVpXa+VPuXIcUj46IDNc89hu0W7z5jn9nF9Wk7znDYA/ef/XEUfv/E3r/3b+0F072OdJPxO4550II/gO4vx77r1ndkOOnxnm5KG71W28z7nHGmPnmrx/B9j/BCfDsDhGMJ5viP4z+T/pXPHTPX5DtCJeweXmI/dfOorBVcA8926fVea7wrz3ZI9Feq76vwoP/o5eD7/dS7/v2XK9MHEwMTAxMDEwMTA9Y98H1y8AlOmDyYGJgYmBiYGHnYr9x2i8zIlgToK9Hph01Z+qT63JFT3hQxTXtYwL0AXogvQLbuy4VyOyVR5J1TXMt1jCMZ3kM7ntHNPhbqqJXNr+rJMe2BVW2n9LkC3TsynEt5je877Kc+P4HnatQ84fzhKAnReuGo/bM5zARzzCfWAZkBH4XIqmp2a71zADvAWBqtgFcKmoluo6zGE5yxzHyCsKnigscBcuJ+W8cuSvdvjQIGCJ61EL7CrHfbt/7KU6e7P8oLTL7+7ckBrU2+bEmoLwIXie87wzFmeudHZFwAqdPcYWqanZb6AninrhdlsLzx3QAP1Yz11FqCnvTzrzGNvXZxX8Z8gn+N63ThOKcl7wIXbmZOe5eZFdwDFPf36wneXIryuhVC7VaEFJ69Olu6AAuLUAQ/Ml2V4w3bmKeZM57qb/7xs3Z9/q45vDnT2Awxoz8452c/c6OY655gqYQvwd25t4JzwnM9awP/qb99YCnThOUCdolqc/jY/utCbdUBopsB0ATp11lZbIEu9OQ7XgPX2I3Wl3QwOoK5ldf/8W9UPtl0ALVDktwRr4T985s/rd4dzU/gNoV2ZEmENmun7iRhR4QtgAd5wDtW92qOXnTBuEA2ItXlXFS4kUiEvDHc523gNqq/bSrjgecNtnVrSDrxUk+YS7+0EwiqNhdeCLOGrwDnt31mnSl4Y63WxP7X8pv1cTwc/+Nm8xuZXXwr5Bv/sL1QW1DJP/Xhm4blAQC2k9pmBbYS2KtMX/O+c6+Z2FzYL8rWlL8v27h9htIp/ob7PIBbOs4N04b/1y+0F6GugwJMvrXbymfOWCv25e+Mhr4WQ37Y5QMZBF9peVz70BuYqz3cFuo4IponQZt97r9TxPQAm89ZnDue0rqe9Dt50kKMlHZQo7/csdpQDPQG6z2quExACAQegXwai87/mKCe6JdMumArE7y8HbjCv6typaR64B3RkIYYZlMNvAt8vNXDn2dcKdpuyiv8+maZKqOz/ln0AsN8fnJfjaSe/Bh0DtOP/1jmAvqeT8tiZamv/zyYod5pqdJbtOc0TjAvDj9Yf2bm/Hzzf853PIOHL/2+ZMn0wMTAxMDEwMTAxcP0j3QcXr8CU6YOJgYmBiYGJgUcJou/wXCX6yn/eL3B2G/d8qZNqdG3cBei+xOLz/nIp1efnLNxVVqR6w/18UcTxANxMBdfWj7qhNtfOkJeozltXXsQKA7QhzpfXKJ5UrHN+ctbu+dozB3qqoHaLUF/inlOdA86xax8VxsML0FVo8yJWRbYA2rzgqpRVglME1JlD2xzoqsO1BlfJCjQkN7TwVwguPFZtLtwVrLtcu/dUnVOPVMSbc1sVtNCVdhbgbct6tjF3aCnQr04QEhjJdm5j+wX7qqyF0uYqp067Bbttz4EAguq0UE/F/W6XroW9bUsA7r72uZ9V4rudgxT2vOjWLW3o0yZea32vjcp5c2Obb70GVbz87hrMkPnOha3mpue6AK5KoXvnnZVzHohVwL3Bq2pyYBYv8jk2sIvCZ85fCvM+BlCBZWUJf+vt93IdC207R7pxIMAn7gETKtC1cVfpxzq3Ba4DzrVu1xqcZb/yiT8vpTEKdAoAnX4GSmOVTluA4wB0YTkFCOJnrolAGphCHwAyhLXmjhdS65jAvIp9lnEcLe3N7S50ZJCAMJLltIPjsg8DAPgNYxl9lPHmNtTVdQ5MUdHL8eozEPLqBHWoL33qYAVV6aWUbJDN9XMdEFSlvPnJVx70huipWFfVrcU204KfPWBOaLyU5p/7RgHWVJnrLCBMZlopAto5wFzA96jQY10poW+ecstz/XQX4LO5ifleEYoJ12mPalQt0vmdd4CAsFlAzTKtn1V189zA84PPDgXAGvp6ndOC3fzt5UrQAwK4HsSu6m/V/8ZewelW8+uEw/moB+dedtRdBMx7Ub2uXTvncrAAx3eZdaMd1FvY7/1o7vZ1r/YADI5lnnvTQrC9g2G4Dmyr4t7BOVwrP9MPBSzbGUGQrq019XEwgw4AWlGrQPea5LOXxefA3b59t2lPm+20cv+gCnQUtAx6HJegX+z/Gp6vdoguSDcPOnHtPe93grGVCvD1PdeDj4xRvotUoftbaQoGjq89uv+NhMqZl1wr9xxsS9z6natNPPGfg46JX/6TEcN53BxcLETP/Odav9+jOI//bdq0J0BP9Xmqx3N6BMmPLNr3POf3g+cOFh73hsv/X5kyfTAxMDEwMTAxMDFw/YHog4tXYMr0wcTAxMDEwMTAo6pETwU6hZc2mec8AXrCc4B0LtNak8/mQhegu8+1VggdWbjv+SZTuZEKIHNQcjxfZnJc60NRMabyHIBtvnaguAqQVFlp4Vg5YJ/4Sr0YY9u0WN/lWwAAIABJREFUYz96werL212xnur5HDCw5zrf85xfOl6m/PwU6EK7yj394veXRTRTQXEqyVWmps0zEFdVuZBVRXIqnIW6pUhuO3bBLQVo67aZi5ttU83sOcy3rTLaKcsdCMDUtpor1DzaZfV7dbJ3p761rm3lOQ/zWXfrZb+kNXparltoq5BdYK5aPJXhKs6pd56P6+CgBZYxAMFjej76Ji3wHejg9fD8Av+0l/f8tiP7XJDOOtX3Ws9r7Z9qf9YLV5kKqwt894AHQDagmn3YH8ArgDXnuBAYAKYVtsAYaAY00J5Zm/ZS5L36g5UvvJSzDQJLhdqW76XMbit/4YMqciG752A/lgsZVZ4L0Kvurdjl842v/+2C5xTAOVADKMcxdAOgCNAB0mzHOvYHOKeKVocI2gMIpF66KtDnQA763bbYV4JtoD/tVWXPvDlzv/T1vy5oXtfs639b9eG3i98drg3Xkbikblzzguzf+n/rnE49p6p35stSv9W92u7XNW4rcaCM4Nv83GuwGAC94W+BUdW//VtoXm6V2kup3NtV7uwGUmn9nr+p5oEXSrEffWMOc7Y1f7bQyv7lnFxTbfGFr5+K7xMH4TBvf7CefVSbW1+BucBfyCywFU4L1PmsDTRTnylsrylgtCMXPgvG7VevS91vWNE/dxoIoPU7bVJR7wAD1e/WUdv2tGnf7eWZ8lzjNraFOqJIV9lN/Ss+u57mmKevSh3e9dHCnUL/0mauW4H2rj9tcx+mugYwLdv2Z15fqQ1KqR4OBQ7u8DgOPHAAgYMamNr/5nkXoPvMxfNXFp8FgYI+t6USXeDIsn2Q45Eifc+PrgKdZzgAOs/Wo6D9xf6nofC8DIBNiM5/mwTo3ivEka4R3tfEON/LOpD4ncn9wO8DKnNdGda93N9V9d30xBfvcT4QmKcF+p7qyfs5v8s8LvCf/0v+BxN472A+leepQKdkCq6f+O92YNmeuc89127Bvuc4z/VC+B2oJ0Q/gufcM8LzUZ7P/6753zkxMDEwMTAxMDEwMXD9A/XBdNTcLBMDEwMTAxMDEwO/QIj+P3/yP/8gIbrwfC+qGdISU0BdL19S2RBKB45pTvS0Edwt3I/A+dF8gnNLqtp5gaUi3ReovGzlhZUqcV90aQnKyy9VKL5oZuqLMdq45zVPiP7Lv/n761ypQM825QvbHZwfqc7ne+DhB+iAINSpvDgVoAOCVEsLrbVNF6CqrjaXNfPaeqeielddC2pVTQtsBfGcX1W0505rcUCzduO/9acn9bH1EuRSWI8i2bzWpbbsAQNaUGu1vGBv521m38zv7aABzgNYFNgLzW2bwNrBA0LrVIJnGx1IkJbwqU7fQXYC9FSsU6jbqm+o/1X0A9a9Zu5Pu22D11j1edq+pz0/QNzBBPSv59Lin6kOAFqrlzq884kL2FUurxf2z50Uyl4fQaxWzMy7TJt3LW0Fuubj1prZKeclxhdM77zI+3oAHtedZUJ44LD5sCkAc2C6VvDMC9BRmQPQUZcDPFjHvaSlvsp04Lnqc/YBpJcNeyu3qy1tu65alnuTmK0BLn/53epHc5Fr9W5fOTBApb15n5kHlpADnfPSRupB/fldYF8t25kSO8JzppyLepi7neNxXK6JlsLlDKAiveGswFw1ONbAqCw5VoGaL5z6Ujt01eZsqypflTqAld9G9+NYqjlX/vIuqr61NQdO0VbhuBbxBf4bTGVeYj4XZH7m9UoNIMQ1DlXV0xd+n2gfzjrAl7GmRb2/7wn3VXcDpVXPu5353VnHc4KqcxXgPDNoHV4wvvthuQ3gstDW7RTatZTWquipy+e/fVKCd8yxDZ85L/XY86AL3gTm1ktw7mcHBSyL+UiFoIV7OhWYgsF6CgjpZ+rDsgLd9OnnvlExp1rdvlahzr1L3DmggXnaxj5aujtwhv2MPQdmZNEJwMGMqu1tuwMafAbLKSXzn/PMlupzpx/E3j0HeKYCPQE6NtQD0H/xz1g7RP+DL/5fX1eJTtHKnSJEN6UBMQ0gtziIhEFYfG9RFjBvlwVi2eNRiLGE52ldvsN0tvM7hO+MHGi4visaoCfwFlDvFu73A+i7Y5hFl7Fz+c+F3nte8z0vOuc7UpynOl1onvCce0V47n+egeeX/68yZfpgYmBiYGJgYmBi4PoD0wcXr8CU6YOJgYmBiYGJgUcB6B0p0QXpqs+F5wuK/86nTi91DvLy7WCdF0TmQlcFwny+xNFy3ReSu9Jc5bbLMp+gLy+XIqLhvkqkzHWe0FzIzbx15EWWL2hVoak884V5Hu+c8jzPJ7BPiC44P1KdjwLj0QLoAAPgQoGGW28XKDMPuopuldyqjwFpwDIt1LUNF1yr0s585iqfhb9pIS781fZ7V0prza7aHYBeOcob1gpwBb7m3C6wh6X41QniqugFdAm+hOvajJsfXQt74b2qd0F9Kuu1OLe9OYDAddqmp126gxNsi+12f48nOPezanPBussBoZzHz7RDS/xUywvpvb7mr6ed9G/auO8OAjkAQjeCBdZf/FGViper06AEFdAqwf0sABdCqkJXka7NO7CMfbQxF3oL3MoavsG7SlNguJC81NGtVtcyHtjpeusKtEOxzXaAdJabF52pKmlBpnmb2ReIBsRVga6qHPDBd7iqbQE60BgAThxq885y89nSZsFhquDZh6KlvekXhPW6AThogX4gtjm2sU9bUP9Sz7/4mxNI5njEDr+XwE3jgpLwHODOdwXz5mVXEc81sG+9pt5nXCft5AvuP/N6raN/OJ6W+ebeNo+5lv7L7r2hjnBZm21A07IpR5n57GsL1LKtynTmOSfrOZf7CXC1QlYtz3qWsS/z2oxzXOJnd7VwEI7uBByHbWmjIJ9z65BQOdE7/7igmt967ZxZlrm4Wc8gPIogWxtxnxMcKKClubbo9iH1tl3mVFaBbb1Vg5tCRrW4ucytQyrLGeBnnVjG+iOAnoMDvY/sf2NDS3cHlKgydzBGDgpgmcCP46r251iVsqC/b4hhVbsOuEkLbAdO6BqRuai5RqqGBZU+k/lclql4HCxpOh+fSbW+5llMgO6z5e4kpH27SvV9EKTHyWdQzpV50GcQ5GXt3HmWZiADED3V6Pz/uAeit1W7g18oAHQHECVEZ5mDf9Ygo1C166rlM/8OzY0b/6sQr9TDFBamtqkBS8++Vv+XhNxOc6CwFu67Cl1wvRTlHf9M+W+3w/M8dkL0Izv2VJ3nQIEE5uf2TdW5A03SbWvg+eX/p0yZPpgYmBiYGJgYmBi4/kD1wcUrMGX6YGJgYmBiYGLgUYgB1Ro7RN+V5wJ1Xrw4TYCeRYDNPC822Ub1+R987s/qpRDAOhXt+XIpAbkvhxKq58ubIwW6L03TVj5t1VNFL2Tn5WtaoaaNK59tlwoTVehp95nq9F19bnsSnvsSabdsn5dID+9L3R2gA7wADMAGCvCMZYA41eWqrwXVQFJtzlWIC3O1EVepLVzHfhxIpxV4gm9BrPm8zTnO9lqYa1WequxUqAuKVW6regZWFtTr3Nz/4bkTUAWwmGebfuCcAEn2cTAA52BQQQF7Bhu8+P2Ch0xTkS0kz5zie+5wobb94zYCfy2z2Z/zub0DCtb+fR0yL73AXejt9nkurePTuj2Bv9fKvPQq1r1GqfDXXt4+8vrZb/Y18Ao1t8pviupu86ELufkMEGPemCwA2dbrKkiJW2E4xxWICcrMiS6M17a5rJyff6vqyfGJi9rm1tsF3DgWxwVsCve1eFfNnVbjFsAbgJDfFAA6MBzQXKD7q29UDAPi+CxAB4YIz1FDs4551hW0uHWyj3eAxxogcOPVFafElLH7hZffWgNaHMBSiv0779R683KzrMD6U6+VhTsAnTYKx/mt4xwOynAQzT44Q2hOPehL+2jZ5HtNGyIDbAvm9vVW4StgV/lMf5adflhoC30LWjccFiypFE+VMPVPlTfb5zJBNgMm2L+26/Ob21xXCgcBCHGF8Krp6zurbdp1r6BPXOcAAAE1dbC+5mz3mMJqYJZQbNnStyJdpbfKbxXPQmz2zbQvwnn61Pzu1IX5vEcE+Ey5VpX3/MmXlkIcx4WC2luO8wTmqrCF+0JlQbq287ZLG34Bum21zkJyrfVVodcgnIbddW37e8BBAl4bleh+p9he7yut3TOPugMP0h2gclF33/p8pso+r4cOAD7TOfWZz+e3IzcgAbrQ/BxUT1t3AWkO4BSgq6ydXM6X/V8jRD8aIJyq8fo+eOKLpxQH/T2no4Lfa8Qhg7TKBr4HdazvtKdeqH2Jv7Rt3wG6/1sc2EHMsq+DkPgec1CQ+c9r4PIB5Baenyu7pXqCdIrHEnYnpM91WdKy/Sj/eSrV9/13y/aB55f/TzJl+mBiYGJgYmBiYGLg+kPRBxevwJTpg4mBiYGJgYmBR8ny8EiJngAd8K29e+bQ056dojX7DqiZpoV72sQvxXq/JMoXk0e25zl/pDxXAZIw3W2E2kwTpKeayxfTvBDLl9O0i30zhzoF2/ZUt7vM8xzB87RsV3U+dp8PfzkC6No7AzaBieZVToisQllwDYRbMLtBeyqahePaP2vvLnwtyNTW31rFC3JT0awCWjtxAW+p1SO/OvPm6RZIf/JrpxzmHl9FM+1Emcu6pVBv0KgFM/WljQVtex+21e48LdJT1Z1QW9V95Sm/884C1vZNQm3t6RlkYFszV7ogXsCebWdgAf2R0JzjZZ8KztMRIK8hwN52ORhCYK56PsG9dRKam3Pdc9NPXmNt9I0vllMnIaswb1m2oyh/5vW6HgCCVPYyz3VUic511J7ZdSrOBZqq183Jzr70gbbnQMJSqrb1e6nQb5yU7ACMcmdo1bGAr1S4v/ulgrDmQAc2qD6nAM8B23/05ZNqGoitfbtqQua1CmdbYLpQWevwUssDjb/4RqkSy7L8he8u+2mm7MO1oI3mJ6f+qtJVjauEp63UgfPTR8Qd5wfccS7OmSkJVKAL0PlsfGiFXbnp2x6fUvnMW+1M/QCebicQZ5m23CrQHaSg+jit1AWnqriFSqXofvzOWkahr8yxLRz1+nE8rjvX2vNp+W1+bc4vNBfGrjhoe/qMXwd4OE8fJhCmHuZYF9ia51iQbI5wbJM5r2BZm2eeC7QOV/UtzHWZObrpf5X9K59x96XqeXMsJ0zW4lyFt0r5rEvCc55d8rlFVbxgOe3NVch7vKVC3wakFMz//LcrXrgu5ULQrgEsp35soy09dTZ3u+sLsJPjHXeEHrCRtvtcO2NVRa/np45p4+7AAUs+r6my59nTQQM+p6UDEc9vzPtcmXDceeG5AH23ehegewwHSu4KdJ/vxk3oss9b/K85N0B4V6KnO0MNrGnXiYLkKNOfeuGeQUCCc/dNe/VUZafVuamjiEPi1HPqRsF3mb93FOK6/h9tyvDdut15Bxv7OdMLmAPd/zw7QN/h+Q7AcxBAtitt6s+p1c/B80lVdfn/JFOmDyYGJgYmBiYGJgauP/B9cPEKTJk+mBiYGJgYmBh4lGLgCKKTF31Xoq+XLJ/47ALmQnReuvBiRZtAld3CdV4YqT5P4M7xhN2++EkFx/1s2/PlpS+vUoWeKiS3FZ5rMU8dfTmuussX476MVk2f8DxV55Tf+N/+80+oz63zOcv2UZ0/2gp07Z6Bm+QTF2xrV54gVXCd6msBK8BIuPrxq++tfOZuq7ocUMv25tt2fdlS33lngehUWfNSl+WqrQv2tmJdsJ6q9LScp1A3wauqaKAxbdW2XQt7tivA+/xb7yl9r07w1eMxL5QEMAqzd4W4ED3hoxbu5pcuoHl1gvzmSs+c46qBhd85eMB1noPjcZwE6Gy351k3j7xtoQ/SUj/zu2sz7zLWcy5twYXmOgE4CMJBAwJz+hZQrR25NurArwK9X74XagGv2IbtvZ4sV4Wuwl0YmepfwDbQTbCurblgkzbzWchmzmXBr/UU4hETC9B97hs//tXfvlHgT4DO9zVww/znwGhU5QASIKdtRMUNOC+ofPVe3mntooG+QHTVzwX7WmloXnTqrOJZVwSV9gnKqT99QN97fxIrBaZfPKnkAf1Aauf5vQBqsq1qduLCwSfCc+OZolrbvPXacNMvAM/Kg95g01zbgtByIggL7pWT/MmXlm23Cm7zeVNKJdwAmn5kyrVg/4LPT71QfSmETiW6AN28w2Wj3gCJPlWBnnnTma94ePo0oMPBH8ab87TVeF0q6VDNC3ZVvrMN/S9Mtr5CMQEzzwEs3+GtqmcAr9tpN29fVf89dxqcQJ8wkIP1XFP7X1U329CP1p1zqkJ3UF/WwWkq0nm2yeeWHaCrlrVN5nh3EANxo8o/7fBtg/eldv+6iZRbRDgecL8wz72gHT/3VvVNK9QdWOBgGQdIJFSkjsShAxdYp7Keom07091tiGfAfNYTdmee81SeCyHPAfYdovus53OoAF1YaF7ncRS67HMX/23e+JvX/u0RRFeNLgwXluvQUArxZ775HmRvm/dMJcB/A/7L5KDdzFVufPhfhHg0VYTfS6Yz0PHBOM/Bxf5PyrzjCczzv5P/n4xLLdyzfgnPU4We8Ns2HCnOcxDzEUTf850fwfO5Ny7/32TK9MHEwMTAxMDEwMTA9Qe6Dy5egSnTBxMDEwMTAxMDj1IMnFOiA9H/p//4h/+yg/SE53sudNZZ3EZobi50Fe1Hyo1UUOTLIJft8JxyrV9M7Wr0HaarAGF7X7T6EtYXsdq258tn7UFVkfgSdVe1U3Yr+t2yfdQXj2Y5AuhaMTPNPOhCUApALfOfA9JUfKv6BsgKeJlnO8G7IFyVsrbsmRs87dmF7+5rfnCWsx/n1wY+Lcw9vrBeCFh5za/+rqBKKZM7xznrqK+W4dSbbYXrFKGw0Nl86AXs2+IayJz1TbV9WrezDsidinL25biZL12Q7XE5t2r2VORnjngV/wn0c70K81SqZ587b39qia89u/t6zbT0FrDTp4BntqV/GKRgXwkYhaFcB17Ucy0EqRWHt96seVXAbMP2HLuuY1uWq1A3l3NB287BvdTCbeVOHQt6prV42417btWvQDlUya4T1AtPAWwCRbbXdlvopwLdnOTCXNZp125+bS16LfaLymvhnirEsmj/8hsFQOkX+ov6Eb8C7uXe8PK7Jwv3zkNvrHIMphwXaI7lPAp5VfO/9GvXq52Z395BNMJz0x3Qr/R9Kd9bKU+9hZ6qnL2GQkv6S2BpDm5V2Fp3MzUPN8eu/OauQxHcucjZjz51WcHxhk30Dft5XNXtQiOvpVbqKo61XTfnuVbxfKZ95j+n3rod0P/EK6Us9htGaY3OMVS0C2mXhTtKU+3pu6j01oo9leWp8GZwBqXypTeUVuFOOylV5x4Ioso0UxOk6tyBDcY2/eO81uZp4c6zSQL0tGxX5Zo5wgXwtgPnBlWwAvy6FztGiCPV6HzOefqebQH+9Z0RAxT8bqDt3ltMHYBSg25aZZ4pBHQq0MpfuM81op+pO/1A3zt4IJ/RdgciP2tbbe7yTL2TED3znzvd3ZDcT4BOOQfQec4bSPjRKOf+25xTo3tfE3/8XyH2+KyLFsvSTYv/N3u8OZg3VeCpPuee4T7hvigHkVtvrvMR8/432m3WhdVp2b5bxfufyXuB4vFqkPN23FSf72rzc/bt+7r75TvXcYv+H3h++fthyvTBxMDEwMTAxMDEwPWHpg8uXoEp0wcTAxMDEwMTA49aDPw0EF07wAXRt1zoCdGF6r5s0r7dPOi+aBKg5wtL855n/nPXnVOgJzi/9rFP37OMz04ToNuGhOmUXbmhkj0husdMS/mE57tl+6jOH817KwE6cAHQALQzF7pqbeCZ9uWldm01sZBXmJbKaEGtwDeXlY155zDXmlx7dvdJQKyyOlXRwmTtzQF32qVT0r6dcwGlVZMDcmkDn2kfbQYmUlQll1oZ0N5w3XarflZJnUrrlY+9Qbp54BNcs28C7AToqsdVegu3/ax6nPqzjuJxabO53+0n54XhCfN3wG9dBeDmO7cAahP+pzLevvNa0n7dDBywoGX7Uuq22h9Yp4KfqTCMOgi+VSurChaAs32pmJ9/62S3fPPuUqVyPLbHfl0QaI574Jg52Jmn39gfSFZW0DfuLstxBgEA0VW3V47vBq8qclWeF9z87DcLqAMcAOiquVGa04fAdPYzH7rwjv0qD3gr0QXmAA1hZcHUBvsADvOlc1xV38YybUsFuqkZvJ/5rBMD9QHokwOdc9f9/NU3CmbQB8Y2/eSACeLW3PHMczyV9XyXAGMEMdR3WW+3qpxr5LVSeW9ud0Emn+nnsrFvICoIZRuhugA9VekJO1XtC6h1D1gwtWNrKc0bilec3Xj1PdX8576xFNxaoNd52wrc2E14rlOAbRLsUyptwLMnRbXxo20zMURBJU59jDWguEp0B9aZS1zYZu5kQbtWzwKyhOf0IbHG+VnuQAvqr6KbNgmzSwHeFukq0RMiU0hpIETnWYRluOEIlgXoPM+k7bwqW+u/7Nv7/qAenJ970rowTXiu00FdY90Mbt59T4X/3Huqf7Z1EA/t1o7f/bVwd3CLbgf0JX3PNaGNtCEt6nkmc+CAz2o5iFKoKTw/lwN9nxeg+5y57yNE33OgJ0CfPOgfrWcw/9twbY4geoJ0BgMBs4XlrnPe4n+ctEl3UK//M4hR/1M40KbynPdgH91DuE+WJfwnPntv/vKG3zs8F6ADrc1/nurz/P/i/gnMz9m25/+YD5L//KexbB/l+eXvhynTBxMDEwMTAxMDEwPXH4o+uHgFpkwfTAxMDEwMTAw8qjFw7kXTkRKdFz1O6wXMx59ccNyXQL5cYrmqcwsvb3zB4wubVAJlXr+0ck+LQl9yXgu1hUokl+VLLV62+mLVl8u+aE4Fya5iT0WJEF2Qn6VerIZluy+QEp5f+hpPubwCvRS2VyfoBbQCUKqmNJeylt+AXOYrH3aon4GCAuHMh23u5FRoC2DTJnxXU5t3WdibUFlgzzmoT1m4t0rWPN2uUyWunXxZfl99r8A67aRt5jwHbAEHVeUXQLv19rI3F6RrbS2QF+ZrZ73yuLdaWzW28FloDoBEwb9s33u96+yvHDyQ4N1jCThVC2f/OkhBUJ5qeGG/U4rqetZzXI+d8N39gaj0jfCfc/MZ0KWyHwDNMcvl4NYJNAKmhVSlmm4IaU50oarzmTObYxeUxSnh5t2lcmZ/QSD19xiqm9mPz+YNZ17wKcRW7Voq5efeqH2Ac1pCU8pavPNAr3zQDWYBgUC3f/jhD0vVDZymAN6wcxf40m+C+N0+nHmAhjCafekfwSH1pR4CWooDP8zpTKGd3JPEtxbv3B+cW4vyyhPdecTZn3VA/wIlT7703oCQnnLd2Ub1OcdPFXwpq/uacbxUdfs5r6kDHFR602attVURl4K7IY951O3vcg3A/hu1dNufsy19TL+RFx0IpHrfddqyqzamj+wHHQcEzV4j3QqEuMJ22qOduEr7GhTSsF9Fu/b8Bd9v3q31Vae27jeuiCGBussF66q2eW4AgAHWAGfMs5zCPoJ2FfZMiQkHImjbTlu0PtcJwBzgqMJVZBN35hmn3WnlnvCcKcspPN+ka47FPO3AZ3Olex9xXNrK4AH6if5ZgySeP90/XmtznGs3T0zTFrbhuhlLpjnwnheUG1O6HtQAhqdfqcEKqv21aqcUbHz65GTgOp2ChOZMeRZLpyGKAx6F7Lt9+172/OcJylOJnhbuAnQHZQ5A/+g/W/IMDszlmfzI0r3SfmyAnOJn1u9pqPjv438a/0Mw9TvD/xfs64AVn/1Mi6LrAtv4fyX/zxwB9H/33/93P2HhngOL7xlE0oBcBXqC84Tnact+pEDPvO5HEJ3/PP7voX9TdT7w/PLxP2X6YGJgYmBiYGJgYuD6Q9UHF6/AlOmDiYGJgYmBiYFHGaAL0fNFU0J0p7yEEaL74kigvkP0VKmzDZ/Np56KB18G7S8yXXdk4X5P/sFWbiRcz/VZrnV+dGE6L7rOKT/yXGklbwGY8wL1SHU+toWXj+tL31NHAF3rTpXY5kQXmAGGAdDAZ0E1UM6c4MJVQCoAE2hqnmxV6nxm+8zDLfDW0p1jqcgWoAuEhcfCYC3ctY1fltNtRU5dVYozr/pZgI5aF+ClUpd2W4SOKpZpA59VoqcqnT7Tzj6BdMJyc43/1Tv/dQ0oEGa7Df1Au9hGgK7duwMJ7De23RX82rovVXwfz75Rmc65OIdqeGF/7i80TRt99nOghBb+HrfcBdpiXVDNZ2Oh+rEBOutVvnJNtNYXdru/CmbmdQZQWW4OanOpC++1cuf4rGM5UyGnA0Mqt32opM0BDTwE8AMX+SzkJU5KQd8KZooW7qWIffykSGc56nMLkM4ctkyXIvvZk4qWz4LUyt39hW8vgE5RHWheaOpOW+gTVdJcG2JWZbcgRFcJjqMVvuCd7bXkBlgC+qkvUyzcWU6cGsNauFfM9eAS+pK4MSe9IKZy6bYVv+1ycIMQ3X43FzmKekCl4FQFe4HrViXXdbvx6ik3Ng4Enb9aG3ZhvQMi7HtzaWuF7j7auav8Z3vro/U711V4rs25LgEFZDuOVKfbv/SPymYdBFSEe37zoqs+L1D/zOsrpzH1Vf2cBRimlbNK0qXgbut3plqXl3X87ZNDAPXj/CrOgcxVx6dfqfjyGmZ+ceE5LgmVp/yJryzobQ50n1n8rEV0DgzUVUcAzf6VA/3Jl073Ug9GUTW/BhA8/coa3OB1pG5a0JebQTtWeI+wvL4zGPhy+zsrv7PXkmPj5MAgC64L80x1HCgng6deOLX5qZN1NutVzjM137ttFJoLLQXoqT73efAcPD+yb9/XrcGRDdCF6ZlGKAE6z8yjQP9oPosBcrk2R5bugvF9mgBdiK57VRbjUOct//cwr3sF33Xl9NGDZ0wrUjnWn7i5cp+bhzyt21V3Yh7ZAAAgAElEQVSa7znQUy2+g/cjhbkl16Xq3HW7Tfs5y/b833M0aHhU55eP/SnTBxMDEwMTAxMDEwPXH7o+uHgFpkwfTAxMDEwMTAw8yjFwDqLvanQB+q6+yHzoTHnR6bzq9QXQIwd6WqCnjXtC9T23YO6rbaHLcpvd2j0/77afa1m/wErVhS+QnPLi6NwLpFFeXD6WPyrlCKAL0VVdA4cBD8IyQblW5JnzHCCdquhUZrMM6LrbsKc9NMdOa3HtxQGzaQMvSHbe9eY6F6wLg7VwT2CumlwwLsCt3M3kiW5LeG2vqR/bCPvZl2NRVGizfwJ+wb91WbbzL79b26Q6XKBdueZR0re9e0JzltGnmQdeSG/fCbOpj9tlLnVAuwDdc2Yd3MdrxPl0ElCF7jae0xgxp3ba3JuPW+t8wPd/eO6kNOcYAGqVoawzN72qctWxKns5pgpxtheeA8l46c85hIJsA8wuaHt1imG3TdW5+ZQ5l2D/t/70zQXQhehAtWVB38CV/VDpmh9a1S4QAhCNjfvK+/3M6z/+5d/8/VpPnYDFQl/BfrX3xqsnGNuK9wKtDWCFtoBFQCjHBmhz3zLIpSzSn39r2dVrUV1q6t6n1MdtAc8850ZxTn3LFv7VH9SU35myEY97j3M5UMYBDcZAXce2jvca0CbiRBArWNcZwOWqvalP5SXveRXtDiBguUC41JE9oKBgb+exXlbs/dl5Vf4q0DmmcJa6OpDAgQsFlcNOXwCr80Etb9v5yn1+6zRAQzW3am9KWS13DAj0VcMLgp1f9uWtJBfmqq43vzkFiCto14pZIK+62gEY9j/2/BTjsqzkiZu2sjePO/2Rtvv2pf1mDnTOm+ryVGRr3W4R8lGoN/BZ63aV5w4QMAe5Aw2E6HWvRB776v8bry7XBd0pFlTvFAEOwinHi1tvrjQNtIfBI7Rpxd+z76VkYDl1rRQPT3yl1pv7nc+2xzbmIE3AOc92AnSXc2/pGKQKPW3bPwhA99ky4TnHdDnn1cZ9APqDla5q/3+ji1aWfZmDbQXjQvI9F3rCdwD5PQOHGp47gMnj5MBd5/cc5/m/iHjd4bkODCutwRlonvO7RbvnPYLpLjfe/e9DP+7/fS59vadMH0wMTAxMDEwMTAxMDDz2kPbBxSswZfpgYmBiYGJgYmBi4FitARwWolPMp0fZbdC1bBeWs84c6Kmy8GWR8/tLolRZHCnQUx1+7WOfPly3w/aE6fnSabcozJIvjtxmB+e/8eu//olRnc/3xwdRoPsCtXIRt7ISgKzymqKqWFV52n6rWtbafa1vS3Htx1E+a6lOfmzBsmBdNTPHU82uypltP/m1E3jX4l3L8czPLUAX6mb+cz/TZqALdbCUEv7ldxf8Fa6zjwpcVdWCcyG6imyt5nfLc1XbwvGydo984lW/tpxPi3f7IgcUCL5tcw4eUJ2ufb4qdY+feeaF8V4fQX3meKe9xAF195y2mW3sAx0J9nXmk688xjfuLjCtWlolOTFH/xY0bKCs1bRg2PznbCvwJl4zRzLnEIDV8Rvms6/KWrYl3rV19xyCdFXoFT9fPoFTlhMzgHltngGbQHHzMLMcGKj63H4TFHJePuNUQD04h/mcV17whrDei6qDBZhCZo5hDnRAqVbtmf9ZtTRtqNzincMdaKjalvznFNrDcoA6vyXU2bQD3u/Ejnm+zbleNv63TwNvzF9ekLwV2vQbddBK2xzoLBPgmhOc/hKgs4zz+N2kglgb/cx7rv34Uvu37bbAXKjsvOuE115LpjU44erusnT3fFq206ZSpfegCs4LkHYghKpoB0IIwWkTxytVdyvFhftVHr+z7NdtA3UQLtM24TlQVyt0IboKaXPAaxdvDnZt40kloN0/U2Je63/dH0yvwPYqUk1RkBbmFlXYAmXgOc8y2prvkJ2C5Xv1efcFwM4BAAnS7T+dJ7wW3K8OXhCu60pgCoAVK73MgS+0r3LSf/EEzWmn7gSZez1V8bWsbfK10qcdqb7nc+Y+zwGSPnuey2O+g3Kgust2wM7+HBdovtu4s4x1o0B/MCH6kRp9T1klOM//NMxzD6XDVs4Tm9rAA88dLOJvg/CctBCsz9zn/L9I9TkxnP+FdhU68XikQBeeO1B5n9/h+JGl+54XXXB+TnU+8Pzy8T1l+mBiYGJgYmBiYGLg+iPRBxevwJTpg4mBiYGJgYmBiYEPptZIiG5e87Qy9MXTbuO+oPqm8hZOnytHMDw/+zJpB+37vtc+9umfgOl57vvNZ45z8/1h1z6q8/ne+KAAvWx7G1YCHbQgFsoBQLVsBrownzm9ha1pSS7gVpWdduapqNZ+PHOcu60wXJgMxAN0a1uuUtoc6gBi1dyuVzHPlH0FvsBx28Q8AInjA/GExsBa9tGaXIBOneyHtDzX2l5wLpi2HzK3u3A77egz5zlTBhtoq+5+Dgzgs/3ggAEHFqTdu0pz68E88FWlufsuNX+rxlUaM79yyztAAbV89wnrS7ncAyG01FeZrHKboqJcYK21Osu1ky6l6PNv1TVRLS7YE4hzbmE514+6qUwX4LKflu3Mq0wVlHsslptjXAgKDBfAV27qJ1862UI/8/qybFdBLkwHIjKPOlUFOtcPRTf3E2Ca7YCt9Jeg3pzr5iE3B61W2mwrBBQkcxyWA5m1Zfd+FTKbI1wlbVlgP/3KyVa9geyv/vaNUiRTR7YzZ3uBjMfvrLg25jkH8aQim/pyTutgjnbbozK4rt8zr9c9xXm176etwBpt0607QJN6cEyV0OzPeVR/l0K7c1qbE71g69MnIAogWrmtG1YXYH76BI5UMgtVnScGGUhA3YTexoD2+NaBcwv9LfTJyhkOuG0L9jUI4pkT3C4Y29dGiO42quEr3hqss485xrVRB+TSLpYD0m1rzT/1wnIiWIOknn2t3A+0mffaCP21zXdQh/nb2U+wTjH/uXVQiS5QBqALzs2RLmhO+/MFqJ/4Sn3WacG+EXQbu9mnxpixwbbU32vpulLT9rXdUwiwX33nPP+tOr552LX8Nwc69aFPheaU3/uTF+pZ0jal65HPm2nb7nqV4hTBOKDceZ4BE6a7PCG6sDzBeSrReZ6kqMj1WXAUuA/+/5sE6f53yf8xFuIy15l6QIDu9yHx73dNDTzSuv3AZj2XHQH0/F+0/8fZByknNM/5hORHavS9GOOCc/prB+dj2X752J4yfTAxMDEwMTAxMDFw/aHvg4tXYMr0wcTAxMDEwMTAxMC9MfB+ag1B+nqxxIuYAOhaHPoSSgv43UJwV54fLTtSl6vA8EVp2rkL0Y9s3/NFkcc/B/F3cG6e88z3R5mXR/P98UEAukDR/MqAFiCduae1ORcQC46ZV3lsznMhsFBc9TiAe1mhv/ijBYoF36qlBbXCdq3PtTUXEAtwzXcubAd6q0pXES1sB8wCeJmqrBeG076ysm/reoE91uOV77kV6mlfrk29NvIqddNWnXmgNZ+pg7mlF3xviC7wzrzo2mfTZ0J0wTz7puJ99VdAcfqMPqV4fJXt1tn9rIvtNK84ccA65h2gQJ+xjH4SsqZqXdt/BycwpR8B1MaZIBLwrRpdC/LKd/z8W8s22+0E58L3suRvpTbHSzgPTONc9Dnra98G7WkJLzQspennv70gHMsE6kJ5oTfbaN9eKvTHTzAdEAdA//t//teCwMSUym4gnCp0oLUW7d57NXDgufcszOkH9lfNLPBkqgqcwjUz5zlAW+W3+wlIVv72Bogo4Kk70BDobPzz20hdteY3Njgm1x+QzTzbu4zrXde5Lc85t1bvKtM5B+02J7qW2oJT8/FyrwjziT3BuccR7KqMVnlN3wpFVZwL0ssW/akXliJfhTexoxJdYK5VfvaXhfaolDZm7V/35Xj0KzFj3m6BPW2xrhVXbVde8LsV18QS9TYHO8vTrt386KrRgc9MK985AKwV+ByL/vP7XWU/KTXod5Zr32wf00ZV1xzPQQPaPWvfLlTebdxVnSc031Xa2qCjQhdMOxjA3Od1Lz79Sk2pIzGqTb/wj+XUKXPS08fck1ruO0jGwTEF6Blw0XGkqwPLrYuKcwY7GDdOzTvPPcJU+3bmzfteueC3VDxC9Wsf+3SBboB4QnHnebY7UqOfy5UuQL+fAn0A+oP9/0aQzv+bo4HCmdvc/zcZd5Xv/Imb9dnUD37/qUSvVA+dT732P5OjfP8/sv8XUq2u4nwB9N/51BqknP+zhOcJzne1+1GO8yNwPoOGLx+7U6YPJgYmBiYGJgYmBq4/sn1w8QpMmT6YGJgYmBiYGJgY+GBqjSNLd9UXmR891Ru+zPEFjy95El7v1u3nVOiWI3v3PRd6QvOj4+YLKqb/6//4P6zpETjXrn1UF/N9cb/vC+6ZIwv3Uq02eFP9qjU0EALoDEwDyKikTmtngasgl6m5z1VFA3GFz8BUoLcKa0Gz0FsLdxXPKqeFy6k6x9adInhXHc/5hNSeR4tygS8AtlTNnYMbQKYav3KiYzf//Fu1PW2l/WVP//K7BWTNBy5Yt76qxrVGd50gfM9vbh5yAbr9mHnMPVb2USrUAeOpRleRLgDdbfJV7xdMb0U52zuwwPPQZsF4WtLX4Is776zioALzoqvo5zPn175d22j2p5+JBaF45bUGwF59Z+UgV7UuQC5Q2mBeIP97Ha9cR/ZzH87LIAiuIefQ6l0Vuwp0YZqglO20WBe4uVyFbtpvA8+BpoBG1OfYohOv3EfAPxSrQDnaDBgGsqs4L6vp59863RPPv7Xs/ulD+kmIbI5x2ku7UgGustiUC7pEqD6vwQANfWmr7VNxyzYcg3uW3xlgofFKvHgdHSDj8T0X9Shw3TbnnEdVueBbUGu7yob9ubbS77zvAt7Kyd5t4rha6ZtiQkW6ub5LVQ6wbggNGFK5bU7xUru3Ulz1Jdtq3S1cN1+6dRSUC/EFySzXKlwbdxXRHlMbfYEwn1Ver0EXn//2Gshgbnbt3FVFC8VpC5+1cxeqew1VobOf/U3ddRehr+hT+hH3Ac5ligKV2qrPtT2vnPY9yMG84AJ9854LkVN1nvA8C/UFoFPsB9X49JGDB1SCq0Z3QADLVcyau7zu286H7kCKSsPR7SjngS+eVPR+1v69UgA0uPeaCBZ5dsz2Mk1ozlRwztT5a23dnqp0lqlAF6AfwfG0b89luwpdC3fV6Bw/ywD0hw+k53+cTFm1BgAfKNIF6sSl8VwDULBrd7DNZ26t3OoeK6G1lupH/038r7TbvVv4vMPzdNk6Up0fKeBzUMj98pzPoOHLx+6U6YOJgYmBiYGJgYmB649cH1y8AlOmDyYGJgYmBiYGJgbOxwAvTMyNnkoNIXq+TNrVQKotdpCeL23O2RTmix9fGgnFPc6uTM/8gEcvoe6Xb13FufBcq/ZzdoXzEmm+Nz6IAh2gIkTXKlvlKDCiFL533imArtoYgAZIE5DzWVU1yy2s39XRgmPgLdDb3OhCceGuCmoty9MG3nzey6b9xZOiXVv4tFUXIguSVaMLoFORDtgDFGrxTvvZx1zotJF+MTc88x6Tbcxf7iCBhM2pHleR76AClfwcU4hunnS2V6G/bNZbOa5in+vjAAT3dwBBQvS0108XgaU6/9Y/LkW31z1dBjLPvTnPtWu3sA+xBOgCFGv5LWgt0BX5xjlXWa/fenupzoXiS3ne1s3Uo2BrXw/VsYL2lUfcY9x6s+q7jtHnpY581j6eepgTGVDINpUHunOvA9S8Nziu6nSm5mtmGxS17A8cR3EOAAbOoTQGkLIPEBKwjr07cVR53HtggnFF33H9Cww3BOVeAhbTtzom0HYtxZlqi87+5kcHCApIS5Hf6n7aSJ2pC/VlG+bJkc1vGfDQtAQ6KehA4feCsWT6A+qq2rnAZFv2V/767mdztDtIJ8G0ucxZbj53c6TTdo4lAC/l9LOvLdv3ZTUe6nRgs+p0oJGKS9XufBbQCmVZrhNBqZ2ffmU5HGh3DrQ1B7uDILhWfC5lPfHXedfNQe51yOXCWgpQ3HznmaOYZYBmFd9AL5XSwGqhrm1Ne3j6j9ihf7h2An7aQ/8ySMG+S9eGZZfecN30Ag4sUJFNvYTometciCxUFrBf67zo7kvb2J+pgxwcnKDdvvURoJfdfA9QcHBCpoYQmBvrtJdrY3qBzGmvw4DKdwa50DbbqRW+RfV5DhpwqmV2Pl/ek4/6dz611OdC9KPc53zO3OeWfTuOs+dBZ97885QB6A/XoMd03DoaLOwg4ATp/udJdwT+9wDSgebENNOybf/EZ2t9Au57VOWbM9c+737+B0pXr/xvlSD+Hpv3A2jOugHnl4/BKdMHEwMTAxMDEwMTAxMDj71PH0yQTJBMDEwMTAxMDEwMPEAQ/dwLpswPmCqNpUY/eHlz7oXRDtFz6sum/QXUB4HkzqMyZ7pDc+0KVZuP6uLysfegK9AToKtUBLCoXKz8xy+/u2zNVZoD6FSjpuV4lswFLjTO3NxAN5XmFNXZqZQG6ro8YTvgNgG6amrBMPBYJbpwWWBtbnSUyZXj/MUflRp+5fruXN6AWrYDLmnxXsrN3k77d5ZxfvYBGrOe+gnuM6e7OeFpiypvBxawjH1V2mvPnpb4DirIfhd0pordvklbePvOgQVMqffqEyDs1Ql2l6L4L07Q2zra3hxE4Wf6imJOdPrKwQZsx5RjCU9/609P8Jp9AOjCaqaCbi2X+SwwL4BOvuZWulPHBcdun/Ks1/Fu3l05oDkvRfW5EFzgWYrV507KYy3aKZXz/urvloW7gFGb6MoF/dlvFhwXoANFsW9HhU4duCZaiVNXrgPwnMJ1pm9om/Ep/AaYcw8ab0BkVfvMa1fPepazr/blXDvOoz23/aoqnGvE/ijQqSewnzYCVJkHtFB3rrkAXTt/Y0iAzjVmnv5hyjXQXp4BBJy/3Bxut+X+7TfXdwl9bm55BwuYp93vojrOqz84we6bp5z39KXA2vzd7KeVunl9l/Lc0vnWKxd5A3Qt1FU+C40Fx6VkRoHd8J76FkDv+FLZXeC31fcVh1i/N2Q3vzmFfbVlJ2bod2JIeE6h3sSi4J11qqCzPW4HDBOgq6RmH/N+Uwf6sezjqcNffH9Zn9OPuhrQlzouZJ0dnKFbgdbtQHBzKwPoVJs7n8v8LEBnHwF6QXlz1Tc05zza/JufvAYg9H2oe4D3sa4Elmr3c2/U/aXTAe0gZh3AoMLdfVS9cy7aluDcQQMARtrsYAGeHZkCKR08QOFzuh5RrjXwpuyqcwC5ucx3WH5k284xeLYUmnvcoxzoPA/zXDzq3IfDcesDg/TtP08OINbuHXBObLpf5iNXWS4QP/ovk/9/cuDwDs7PwfHdoj3Pfy7Heaap8r/fDBi+fIxOmT6YGJgYmBiYGJgYuP5I98HFKzBl+mBiYGJgYmBiYGLgw7F058WRL5aE56o1jqwF75eDPO0Hd4C+g/MjkH4E0O8HzTO/eYLzeXk03w8fhgK9lIptXa7yU4Uuy0t52ZbNAua0E09ls9DNvOUqpVVbq44GXDNN0OwxBMasFzqbx1tILnhWPS001rIciJ3qbvb1vIBxFPDYZlN/ABJwTDBuW7USX4MHqPsL373H6lw7a+G3ym7Bo9b2WtRTBOEJ1c0Rz+cC+b2d/ZX5zgXY2n3n4IFU3Xu8VMAL2gXh5ouvXO5t5Z657QX02d4C6rdPcJo+AoRraU8dWMbgBK6BqmoHYzAViC9r9Rt3F1RVIQ3g1T6fGCylOqrTdgwQkrGdYFlQLFAGHpvLGzhInYCWAELV2OapJta1bVcxzWcgnXDXe4Jl5jxne4Dbr/72jQJt/9+//EuBaSA4MQWY5nPZpL/6g4LnqL5ZRrzofMD2fK7Yuv1mTcui/MXvL6t32qjqmn5hXwd30EYHw7BcOF2DB27crXY7WIH+Bfx/6et//eM/+vKrBf+19wbQCf/znvS+1gmAa8J5/e7wM+0sO/mvntTj2s9z/FTPFyC9efeelBEODNCa3jzvwHjawrWiT4TkKs5dBkDmOMJQ1cQWVehCeC28tVw3V3nBY4B4w1WOT51MdeFyLd3pc+3/a76PqcpZ2MtxHahRedJbCU29PD/rBeTWu9re+cfZVktxoK250B0UQNu4nis/eLuKMLhHpwWOV9ewBwGYHiHbbh7xUng//cqC5uYst6jI5pkqrcwTKKcCVuW8KnShdaZDEOATI9q8Z252HQusr0Cc9bTLgQ3GloMhvC4OkuCY2sEL8ZciPgC6JXO5227tsbVpp61MhZUJ0FWL71D8l37t+tlc56lAF56rYk9ofg6g8/zIMzHPjAMaHz6QrvPWx5947o0jmL6K/3M2sL7bph/99zlKN5UAPKG5avLMfX4E0XN//3epNr8fOJ+Bw5ePwynTBxMDEwMTAxMDEwMTA49tfTBBMUExMTAxMDEwMTAx8ABDdF8sLYjeL3KWtfvBCx5f/twvL7kvgPJlUCo3dmC+K9rzWDs0P1KbDzi/fHw9rAAdUEUpKNEAskA6Cuyrvyu4UnnCG64CYwTpmVdcZbWgmKlqaqdpQQ6cBWKrQgfwChBVpSeINwe4lvDCWj6rovbcmV9cJba5zwGwZQPfIFeArpU2oFAACRQ0vzfnYx3LCgS3YluLcvYRZtPGzIWu2jht5LVOB6iWUvnqe/cMRLCtgv9Un9sHtsvlXg+Wc05KgndV7NriF7hvsK1S3FzmC6B/6x9Xvm3OITCvfNQ9ZZlKcaYsN683x1cFTiwJeFW7A7xQpGs5DdgqkN1gXWW5anWPXTmxyXPcTgHANs7B9lwn7cNpU0FM9u/c38DkqudzJ0gIeASyqUjXol2YDpxlnepcCqCNurPs3/z7/1SfsdgGjKNCB5LTp+RDZ75yOP/ldxdA18odcE5/ADj5rOq6gHBblgMBAaSq+JmynfDcNruuYvfWCYhqVw8s/JVP/PlS4lcu98fvLEW2anYUtrRPlwNjzUEaDqChzzkPhW20l7cfBcefubpbxxe0C9CZCmhtn2ri+o6JwT0U86ALzyuP7xdOLgVae5fVeyuaVWir6ja/eOW677zXqqyF7bRbwMpxtXanflwjzqMSmjYKnrVGN/87+3mehOgFcJ/4yrIq15rceq/SdQJau0ywa+5tVN1AaAG61ucFfv/4m2vQBf1LjNQ9F8Dce8V2cD1roEi3TXt9j2t9BOjUg/NrC00x/3mq0dPSnaJtuxCdGBSia2m/8p73/ckyY5n6lYq/B778H1/6P1f+dJcLxpmnnbTD+1bVunnThfLGjbFQVvgN0hOgm/+c9tpGbbKdv9YAPVMIAbwF6M7vinOeCY/U6cL1hOapQOd8Ce+dF6DzLOygy0s/g0z5cP7n8Bx3BNJz4DAgeleCZz7yzEt+5MC1Q/T8X5P7mOf8yK49t0vQvivOB5zPvTHfDRMDEwMTAxMDEwMTA9cf2D64eAWmTB9MDEwMTAxMDEwM/HQxcD+rw/2F0v7SRxCen+8HwI/U5ueU6/dTmu9q892mfc9xPmX64MME6Fr5qj4HqJhbWpUx6l2mKpK1YNdC3Vzbu2W5AFcYp3rcXOfuqxJb+O4yt1Ntncu1OgcwL8DX+7OOY2v3LgQXnpeVcavU/UzbVATTL0Jl17OtgJhlWrwDDoGeqrpV5bM9/WQ+eHO0C+op9o/1Tjt6FcD0ve21rfZzWthrz+6gA4+dEN1zacctQBeSOkgi6ypMF+IDxoHZ2nZXP7Rqm2MJx9lOFbg5v4XAQjzgOVAb2CUUVoWu5Tr7qZzmPFw3FeWcu6DYcyfIzfnZhm1Lhd0xzTXjXCqxzSkuwAWesb/W2uZSZlshKZBNBbu5slGeA9BRFAMYgeeq0AHiQHUAJHURnlOICbYBnDPP1AJopy/MCw3gY2pMCqvpe2PFQR/GFdeL+qk6p68yFzyftcl3cAhQHyhIHzgog/PpXuC5VLxrs06dzbPtQAPV4Vq0U4g7B+SYo7og+wt/VyCUzxxHSC0cF7qbAkBg7mfznqskpr+E56kwF9BbL3Oim1cbCGudhMnEhvb5tMEBHsQNy809nxCf9gj4rQ/baq++cqM/+VIdS3W1EFgALFwG9gNtVYFTBOiAaC3qzZPOea0319kBLAw+qGt0dXILMLVCKbYZNNNW+8xz/nJc6BQEqQRX/Z6qcuYBurude6rRVW+zP8dZAwR6wAB946AVrxl14N6i3001IjCvARZXd++5RzieMeh3RynZn3xppWEwBhKsM89x6TvqxTztZkCJin+guW1gHkiuPf21ANeUVJ8DCvec5UdK9F15frRcgJ7nFKizjHMxTQU6cJVnyQHoD9ez3P0U6TtIP4Lp9wPnORg4/wflf6RMV5XL8r/V0SDjvVi/UZxfPq6mTB9MDEwMTAxMDEwMTAw89jP0wQTOBM7EwMTAxMDEwMTAQ2jpfr+XSXseviMrw3NwfC/kM8/c5j8rNB9wfvmYelgBOsWcskAXQZGgSuWwucCF2GlJnlbPmbNcBbngPHN1C87NbS7gVXEtCE5YrNpa2CsY1r5dBbZg3KLyW1W4tuoF07GSbxt2FeWASK2nVWMKkVPlTFsBVHxO+3fPwzbLar6t5T135opPRXgOMGA7jmv7bKPKdtX39uXenyrOKar6mdemnfM4ECAV6JynVKlXJ2ArLBWg7opzre5VDDPlGtg37C/Eo09KPX713sANLZVL/Y5F+e3T8cri/anXaptSmwPD+lzGpKkHzAlO0Wq9clb3NTM/OkWVLRCO/QFopi0wD7r27pxLmEq7Sh3bwNMc1RRsswFvQHFL5QF/9rWC7NQLQC081yGAeXKPM8/2TLUuX5C/LebZlm0YrHGkJi6w3Q4MxIL53rXK91rRLwwmIBaA3xyL68w8v1cMEqiBFTEYhXMbt1xDryf1Y5325sLitED3e0XIzmfhrfbuxM1SPXeu67L1j/1V3LOt19zBDwnF2TIjIwgAACAASURBVNZ82ubRFrCa+9vta13blAtdvf5aspcSvaHrsjX//Ler7qrPtZKnbvQj85TKb/70K7WcOpiffMHyti4XEOcADrYDjAPFgbiqolWBC9BLPd3Kc/O8O/iAe937hDpwLxorXPNUotdgmHYdUW1vn6qCV/EuCNfKXKCb8NzPAnaBew4EUJWvAwB9YS52Bza43Huh3BP6nnUghXbutFtr/Yqd299Z97buAlrZl1NBD1zI/PJCc/vdXO85WIC2ZbtzmvbtTHmmBJiz/hwwV4nO1Pkj0J4KdI5nWTCzc11TeNblGXMA+sP9THc/VTr/L3IAccL0XSXuNK3Z027dGHM+IfqRhftR3vPdvn23ax+r9svH1JTpg4mBiYGJgYmBiYGJgcd+yj6YoJmgmRiYGJgYmBiYGHiAY8AXS7xQSmUGL2zOvUw6gucCcl76nIPlR9bszN8vr/kozS8fI49SOadAB9YBHIBRAlDmgSoFkVuJrvJUq3Kt3AXcWpOnWjUt2IXizGs17rKE7SznHC4XHguAhelpM+022rF7nFR4L6DebTCvN5AVhTLQFyt1tlHhC0xiisLXXOAJ0R1gwPHKevsvvr9ANPUT4rINbRZe24fCdgGlfWL/so5+SBBP+2wvx9E63/zxugGkAt3BCCqU3Sfzm2vHb5uot/2khT/FvmKKyty8wxU3bf+uLTR1BOAJeiuHdCvK2V+AmYM0zKkt8F7AvK3cKYJMVe30ucp26sQ21L/s8ftcKtjNsW6uZ5XZxE5aPbOdNtIF1IGeT760rKbZjymAXIttYDjwnGnZj1/d/fEfPvPnFQcCdOF5QnPV5+QOJxYY1EJ7AHrciypuK87+8gSeK8dz95VxSTu53hyD+1c7fJX3xBv7Ms95qafQm2Nr4a4qPS3cmXIfmHudY5Vl+9VJzS40L+vwzlHt9dYGX0grPKd/tGkv94HOQ+7AFcGn9vBsJwinP7RxT5U332u7Ch2wLGgXCJv3mvp53bUGF65bd6a2UXjvYCPV3lq9cy7zmquqrni98erK7w1EJnaoA3BY6CtIFiwLcAXoQOuc9zPHsH1+l1NvFeZM+X6i/yqf++3TIA2t+GuQSg8+oY3MJ1xWIa6NO/CYegmVBcdp157wXABt/nCOs9ry2fes01Xdqx4XoGvh7nUpq/buy1rO9WmAniB9Hyzhsd1GK3cGIGS7qKP9Tz2pr4MDrn3s02swAPM7QDe/dAJ085MnEDe/udMjVTrPksJ3bd89lhC9gH1DS68Dz7UD0B+9wv+d91OlH/3/eT81etmvx2AQB2tkfvUE6btN/JHq3P9EgnPqOjnOLx9DU6YPJgYmBiYGJgYmBiYGHvsp+2CCZoJmYmBiYGJgYmBi4CHNjX6kyjiC57sd+/sB9J/Vnn3sNS8fK48aQBdcAeSALRSAg7l8tec2z7XQTLjG1DziWounQlyldKqgtYNm+7QzFxoLgDN3uhCdfVTAsi1ASIBOvYCGQGDKrsAWnhfkb2htLva0dQdAausuQBc+mfebwjpt3Tke67VEFzSr9qS+9BPQWaBu2yu3ewN9BwKwrW0kTzzbCDMB4SrnU7muwlwwbr+73r5kucdOlbx1ckAB9baOrCceql+uTsBci3+V4kJyymr/t/6xtjGXOVAPIFY5uFsJrspb5StFa2y2AQDXOTqPOceh/cJtc6zTF6YfMNe5ytqqX4NzYb3nZ144KkhduZaZ7+0KaqJi72MDzQGgKM+dB7QBz4Hk3FOl7v6TF+ozbRegC9GZmv8ccH7j639bU5XMVR/ylDNQoK3QtcOnEO/mJOezKRZ0I6C9gnMHImj/Tjs4B+ei7hwbi/lrH/t0QUbjyPjJWHNAhVbguhU4IKGU/a1I18odCKtqvVwGGqYLoAWezAtM+T4q5XYPlDBPu3bpKvW1VqcAx4HX7Cv4LUj+zOvLltvc5xVTfe0F3Cy/B8o/+9qqH32WDgeqn82prdOBanadClRUA2nNyS4o57xaubtu5TP/45MC2tzmqT5nikIa2AvYLgV6q9AdCMV1Jva5VtqfV8qOvj/9LmKdDg6C6tUf5GpvpwUgMvPmPqcIlff85+TmFjK7Xogu+KcNHI82Cs+1Zy+VuQr9HthgnQTf1tX6Vsw98/rpnr/xarWVOHAAioNhiCEHSahc57wCfetG2x2ssKvP05p+L+cAOhAyc6BTgOcC9N26PfOjpwV85kCnADJVAqcKHYDOMy7Pu2Ph/ugV//ecg+n8L9lheg4o3iH4PeryDZ7vAP0clN9znVMXHRImVdXlY2bK9MHEwMTAxMDEwMTAxMBjP0MfTOBM4EwMTAxMDEwMTAw8JDFwP1WGL5IsCdT3/OYJyhOY5/47ME9oni+KxqL98nHxqJUdoAPtUIEKzymAFWGX9uZCMyCwSuWEMGmvLrQWeAtu045ddbqQOBXswGFBe4JlthMMax8veOf85ugWMDOvYl1FOGBQQG490p5d5bmgXFtwwCWwTgDltgBEpqy3jziW5xNWq4Cvur/8bm1nv2iXrfo87dhpcyqBBZj0Lftk/1rsfwArx2BKP7qtgxByMAR264JYr7tAVgjtgALV3GxP3VXk8pmp8VPrr06wWltojl9At8GXAJ3js72wVKBdsPL5t5aKlvqobheMe95U0VJHwb6gvqzbG+hTgGfCZGG69vKqnwHQWqAvsPfkSwXOgYpAPnI0UwBy//DDHxYYL+V+D0YhZgCEXAcKcaR9O0UVNrBW1TrbmL9be2+2Vf1NP3Id7ee8lg4ose/NWV8K9B4sQXs5tuCaY/NdANxjuSkKMn2C7gXGRtr+cw6PaV+XlXpDdcGm5zNPOO0k/7nr6TNzjzvAh3MIPLV/L0XxgY06xzRnfYHthuJadwvRBbVLad55yblOgmMtzFXT63og0K042wYIcA09F8da6ueG4ss2vkGw7gblgoBVfy+vgQi9DxBXsMsyFdHCXc5je1jv/lr8O5CEftbhgTji+qn8d7m5z4kVbek5Pu1RNa4Fe1qzC8mvtW07IFmA7jz7MvU4FI7N57K6Jx86gwg++826n7j3tLTnPqM+tJc+UvXvd4VqdK+HAxvcxr712tS6Z0+Kdh0JBOaqz1WgC8+zvbSTKQBR1XcqwLVxZ6o6XYW5IN186Lt1eyrUecbUzl14buGYCdEpLPPcCdB55p1Bmo/uAOJz/3+O/gMdAfUj2/cjcL7nPk9wvv8/Grv2y8fHlOmDiYGJgYmBiYGJgYmBxz6EPphAmkCaGJgYmBiYGJgYeEjV6PkiKWG6L5N2qH5U3M79KMByXwydU5pPXvPLx8KjWhKgq3qlCM8pQC3tiQEvqlaZClkBa4LZBMaCXiFuQlsBr4pp4bb7AY/NwS10VtnOekG9AJx1KmVVSwueBejmDTcnu2C+oGMDaOYByFqsA5OAukBBlqt2XorX3kaQKFxmuQA6VeYsZ70DAsxzro175my3DWnxXir1tsZPS3vzvedgBKa2Ma+FrgAeHxCa14w2aFNvW+wX3QeYas/OeVXYa8ldecpvvX2yF7/zzgKcwmwV/AUMG+yqDNcG3pzmbK/KXfWsytlS+kYOdq8RhX5j22XZDkAXht56+wQGb/+XUvxSBPaVI7xVrQwmKZvrPo4wUSWxuazLtr1BKcAPqA48//t//te6N7TxZjlTUyCYh7sszBmQcfvNdQ8CLHEzYF9TKVDoO64Nx+W+tf2VsqDX2T9cU1TtbEsfkO/cthJH7EsffOHlt+q8nE87+f/4mVsFLb3HHXhhPDkoRKW76mtV2RbqrB24KnMHOdBG84izP/0t9CyI27b8LOccbO82mWJCVbIAnW20TBeCF3RtG/Cy6m7QDBgVdqd6XVi8LPsb3HJMB4roSmDsCPa1TxfaC3SXwv7Z106W8m0brjqdY3BPUffKvd3t1U5c2Cx4BuyutAGf/eYJ9nZcWie+p+hD4tiBQFxL+jcHXbCdzg2uq/uh7dLpE/pAyG3edaYJzwXowGKt23fArgKdfbMtfFZ9zvm0uicOqcNyheg+5XNZtccgG+KK7b3e+36Cd639HXRQDgVt7Y6Cn/62z9knc59nfvds67VWpKcCXfW58BzILSxPaH6UBz3t3ffc51lQ+QvSBfeZg30A+uWftz6KudKPVOn7gGKt3o+AukD8fpbvR2pz/yONXfvl42HK9MHEwMTAxMDEwMTAxMBjH2IfTEBNQE0MTAxMDEwMTAw8QqqMc0B9L6xDXe62CcuPVOZC80u3e8r0wQ7QVbwCbAA3FKG6cFQVKMBPtTLrhLzasQuGBW5OVbImhDOnuUV4rNV4LkvozvG1B/cYAnePK4zns2p0reFTBQ/kpT2cB5jLdmyvspZ2mk9bK3cHEpgbXpU1/QGQYj/hM8fnsxC94GefL3NLC9CtO+cXmAO/2dc2OaDAvO7syzz2226fNvocS4Ce9u3M0wbmBdzmxxZiUyf6Q9hdSvmX311gWgcCVd86FahyFpqXgr2BaeYjV60usBNQqiQvBfmNV09wL9XlDRyZF5xTP22ozZmuHbw24NrMMy9AV9GuCl34yjUGqhbkf/6tpVwF0jEvQFexrJ078YuNOwUwbU5nYJ6W51p92wbapnU7KmGnFNMr0CdcSwtt4lqaakD1uZb8xBrnNz857TGW2IZlqOWF/dSXugP3qC/3Qg58YR/mGaDBsfhM3QvQPncacJCKX9qgQluVOP3I1LzcWqCbO9wBOuzvduY+14FAtX7lWb95t7bTPYN51eHC84TmwFkLy1SXC82X+vvZ1+7JoW1+8rIJv33qz5UeQIjeMcz5qY/W8dahgH+rnFWgC/ZX3R8/pQGoGHjmZCmurbgW7swbe6q12U9QT50cUJDKcvqWPvZ+JW7oR2Ow8s73YAxV8uZkF94L0FWgU9K2nSlQ188J0LVwp+TxzK2u2l41eA1i6Pz19hNt0/KeKfVmnnsq0wB4vay/edFrQEfb61PMVW89CuI/9cJSy1MXpuZst73XGlg7nyUBNoVlAm+V53uec5bvKnSt3FOtnsfiPLsqfVe/7wCdZ9J5BpxnwP3/z/sNKD6C6oL1HbCfG2CsVfvkOZ/4m++giYGJgYmBiYGJgYmB6w9dH1y8AlOmDyYGJgYmBiYGJgZ+/jGww3QLUJwXPjk9B8tHYT736oMI0AuiX90taGMe9LJ1b0ilKpF5VcZauZelNirxF7671NKC7YS52pOvnN+tLFcdrj20kBsYLJwXHAvy3I9tVVurhs085wXIX/zRqdx55x6onPbtQt8C3g3QBXfauHNM28tyVJuAplRnq+LUZlyAzvyeS9o+cmDB2rYHH6jMN3d5DjjItrN+h/GsF3YK2VXlWxeOz7lpmyp2BwKY/5w+Yb0gnLayPyBO+3RAopCObbUN1/ad/gCkso923qqVOa6gD2CXOck5ntbW2rB7vAKxN0+KcIG7auyE6h+/+l7tf0/O6ltvnyzcG9YDPamHOZQrjzeq4Vtvr/On/bn5z4F2ADVU5+afFpSj/Bagq+r+5v/9/RPExUK+oSsAz/zktIX7i74C6AlEBeg6QgiZvY66AQg+y4a941oLdvYFMLKfDgXEBefPfO3cc9Qdy2jOz72Qg2A4Hu1hO/Owez9oK69TQA0QIH94X18t1ZlnG9pLGxzwQNvLcruttgt4fu4bVXf6hOUsU2XuAAvzogvizb/OeoE4x6HvhehcK1XOC642sKU4iEjIzbx5xVWLmzdbx4JSlre9v9bxAlmt5z0P22UObq3EKVq8U8c6b0Nz85trK27qAIqQ2VztDopSxU8B0NM/LKdPtchngAWxzv3u4Iasl4MMPJfgO2GyBXCuAluVdqrQheoq0VWeC6j5/Ht/clKAey+VEv3xO/eke/C+UXnOZ90pBOjGHn3ideYz7fF6rsEqz3zznsEwtI06a+eOIwN1V3F/DpxTgN2ZA10FeqrGj9TmCdVVnjsVkpsH3ZKKd5cJzwegX/4562H4D7QD9aNBxQLyIzeuHZpPnvPLX+cp0wcTAxMDEwMTAxMDEwOP/Rz6YAJrAmtiYGJgYmBiYGLgEbQ4TGXGXgCQu7p8FOaXv35TfnYFuqrXPRc66wRVmU+3IHDnXGYqXNO2HCArsE71ufPAOUF35R7/1j8t2M56IJ/gl3nBuYBZ1XoqqwXIQnS218Y91equV4WulbvLAcqCcQcL0EbV8IBD8z6bD1wr8ewftmd52ssDrAScpdbvvst801pmO5jAzwnYbQ/tZzvaar5zigBdtbLXwj4yj7q29RzP+tE2gWgq64Xt5sC2rQJvITaxYv5q4aeDMGiDynNzLav61kJdhbh23aWOb5VvDlQQiAuQVf8zTfCt2p1CXAqtl71724CXxftzb5zs+vucbgc0F6Ive+jH7yzwJigFqAPLAdNcD+4J7ik+M7Wd5nTWEp42CfXtD+2/6QOui/nAuW4Ab66rudCpL+tyoAbr2C/zXLOtg1MAqsJi719geuWyffzOsoQnNrRs53i2C2hp7vkaVBFw3KIineOVrX6DWQFnbdM54t2H/gAkV/74BuPa3buNqv1SobfdN9sCh82NrtpbNbXwWjW36uTMRc5xzIutstvYSGCetuxCb5YLcFP9rPpcaJ9W76qlvda0U/U6kDfzbwuZBfPWj89CeI5NH9Tgp9unKf1G4T5hyjWtVAy3T9/npkhQnW2bHIDA9THWVZ0Lz1NtnhD9Wii0heasc/vdkp7rYX53iveUgxq0utdan6mDYvKzdXZggbnp02HAONDWnfN6PvtWlb3rbYODAcw1ruqbHNB8tt3atwvcM2f5nvN8t3HfLd2F5yrQtY73XNSFfs3P5mYfBfo8F34Y/4HODSrWfSuduI4cuXKA8ThxTUzOf7WJgYmBiYGJgYmBiYHrD10fXLwCU6YPJgYmBiYGJgYmBj46L5Yyd/m8CLr8dZny4SjQKQAVQDrQQSU6n81fLDRlCkQzXzZwlnlAN3BGIAsgLtj36g/usQ0XXAuB02JdsF2q8latq8gGElNUpKsyV12tarvyo7/4o3ts0YXnnIvivip22VZAzXpV6eb0TrtsBxKodlYBzXYqalXjA6fYj20dcMBn6sy5VBI7UEBFeVpnZ/539heCM2+u8z2PvNAz19lHAnuOI0AX9rMvdVWFXvbrVye7fvrINnJupuyvnTqgWVvlyh3eua3Zn33tMyE7QMwc5+aYB7Iaa4AxbcJXvvObd9eADlXXToW55llXkQ4UrfzfnVNd63aV6AXZn3ujzldw/anXqn2cC0t291H5ShHymUvZPOgsW6puoPfVaSAAym5Atap+jqf6nT7jXM7bTrZXmQ74JFa5Zqq/BdlcY6AphXMSRwByB2UwZTn7lSL+1R/UcbS2p44cnzoD/3/p164XdDRGHWDitVDVTKl7txXkbG/u7wXHW3nNclXo5tZmnutNvYiTSh3Q9uPmoOdYXEMH8zBlH23fhfaCdtYJUrVs9/zCbNXH5jsXpgrKvaaqrgXI1bYe3GD9vT7M17Uj7tt+3raXdXvbhguoXVfW7Q2+OT77azdOLCXERZmt+lxLc+rJoA0+ey4HMzjQxPQbumJwLb23K8VCpwBIRb51cPCDdQAsc08A84XmqTBPsKsSfbd218rd49Ee52mL9aB9dQ3akl8ATn/pZrHy0D/zeqVQcJ5rwXWm/lrB1/H6mKr2F6RvZb95z6mrqv/dit4847ZVxbeAnHkBOiXt251Pxblq8x2eZ770tGpPxbng3OXWz3MPQJ9nxA/jP8/9BhUnIN9LDi6e/0sTi/N/bWJgYmBiYGJgYmBi4PpD2wcXr8CU6YOJgYmBiYGJgYmBiYGJgYmBDyMGeIl5zsLdqbnQnS8w1zbSlff36gTq+CwsN2c2gCbV4HymJOAF4qoc15Ic4M1xBOnC8ILBL79bUNDtMld4HlOQzjbavAvu2T+PIeDX6loLcwE0oLMsgRsaa6GteloLc+EroKryCl+dYJXAiu1qXedaV9Wrqpz+43Pmerev7CdBuHb3risAH/nmHVywAH3b2vvZ66LS3eujKlxorrpb9b2DJrQLN2+5AG4pyrHfJs/4zbsnON3qb/ZV1Q0gVPEqOFZ1DgxTjcy5gMzsV7Cv6wIcy/MK2lWX10CGttjWfh/IT12YakfPZ86pTTvXC7imVTT7VT7rx+8ssK3NO/VS0awyV+jHMu3bSYMAsC5V9RNfKVhKv9Me60Y7gZ4OSrD+DhBYtto3T3m/OR6F/uc6ch9yTKE66wDrlsyZTmEZMJ/7mfaolud+ZzkFNS3tcgCLqQZUtQthVaDTf5yfIhCmXmVL3grrUmzf/s6aV+3P8Ti2qvKyYW+grOJeMMyxuQ85hiC/LPo7LlSk74rzVB0zXwr0yH+uApx5BwCoOK/SDgVCXNXuKs+rfgww6TaURX+r2rXkJzYYeKGCWpt0zl0AvvsqgT51BjSXGr3t24HEgn3q4cANj0v/0S9cC9XZAnSuCTHFPH3u97V9qTW+Vvcci3nzrguYKQmUswBxgbppdS5AT+V5Ktm1g2e62vb4nWqr96Mq9EqX0NfOAS+00wEMujjQJzXwJu5L5jkm86lIdz0DFKibVvW0mWW0NfO8J0BPy3TuG4oAW4gu4E4IfpQH/agIzykeR1BvXzvlvF4Xzz8AfZ4bfxEDioXsM8h44m3+q04MTAxMDEwMTAxMDFx/JPvg4hWYMn0wMTAxMDEwMTAxMDEwMTAx8GHFwA7QAX1/9OVXF0Cv0mrPZRvd81oBC2KEv4C+3/rTE5ABzgDyyur7W//0E2AYkI2NdKqny8487Nn5rCJbIJ5wXBicMN7zfPJrp2O5P3VyG+u7FOBtXQ5sBsAKmrVWp70q1mmv0JBjAECxCa9BBQ2G2b7UsZ1D3Nzg9pcqds5JH3EewK51Nu+09VNNrmLfwQOp1heg57wDA6grU2Gqds4cS/t9VfnZDkG6ds/mz2Y5JQE60ApYyL6lCn36lQXn3FcwXLFz680T7LpxAu2CcwdhFBBtRbigvFTrbflegL+PJ2A3T7oqd+pUcK2Xcw04Hm0QUAv3aYsgn+MJ7erY/z97d/T6W3be9703vcxtC74oNNCL3gRaDElpCyEXPiQk4DixWpNa2JGsYtl1JAcJyVEUKc7EzETDWOiIY52pImnkkaYje1AYpqCZpoMFI0tRLOsiF7kqrUkgf4Vd3s9vvfas8/WRYxmJgWFdLPb+7r323muv/ew9vzPv5/N57r9Zm7tt3fOuiA22jUp42boHAgH0FN3FYKA1kBrA1GbOHn7jigfjKEbUYnefFPqguecc7O75sWhvXj1noDyQypa/awWg29473n187rdf+6Pf+8535vm1r+NSyv75n/vMFV+U7N7fKaWwSjhItpga1A+/diXa9E3Za1FTZUuaYN0+wHs9j70fuDyq/Yd3IJTiPNA76v3lkrFDevAawA767upzYHoH6IAx+3Dqa+dxbXFtzCB4z4UN/668ZwU/1u3B7I9/+UrSuOzR15jVR28bK3iqaAC780nY6Fy7/bx3q/H13IoHv32LigW27sVE29Sx950f4L+eG1W8eWG53nh21Xnr6p3v4JwinX272uedZ2qIv+tOzd5vtcfBc+/WqMWXev9SpK/9LPfZzI9TAJX5Si7Y55VF+zzvdT8SAwaobyp0lvm3AP1WYQ+iB6z32uMANqt34LzW+l/8a+8c5XluD2zcqdBv4TqATsG/15rfLdtva68Hzw9AP383/jD/7XBU5Se+zr9NTwycGDgxcGLgxMCJgRMDB6CfIDgfghMDJwZODJwYODFwYuDEwNtWgb4rzz/4zAtvKtGrp/z5165a6MBrbYfCrKFHfb2sgMHqHVCDujvgBb3BOMrqXVlOdR3gVeubJXvH278D+sBk/YOXnY9qmyKdwvxWwd1xwHL3Qnl7WYKncF1qaJAZ4A3eAKHAc3CKMn3s1x9+7Q5ALvtr9+u6GmjemBp79+33ra02BTKr+9rUq17nYmMPunZd+ynT1XoH4djNs0fvmbeP7ftA9uDaqhE+8Aq8XGA7ENe8sJHe7d0p0qnKWamz4+4cFOpgtlrlLKfVZp/jA5DLKYDFfIkNjU+dZMexDR8Yu2rbB3xBcdfruK4P4AbjQPz6UhOrgW57kO5f/dt/f7WAdOcPpndPLNi7/5bAdPta51wwduRLxd+91HoOxXTHsW9Xu5yiuGfd+qjBV/mEzjV1sR/c2cIP6H7xWwMKf/35Vy8Feufs3Q/apdSVrNGYGqP3v+2uG8DuOs1F+0Bt6my25/MOLShefADRY9f+uW/Ocp79qnXfOQDmeX7LAl5yCjDf775VrXeN29rrFN2jWF4gOIAKrN4qvvf62NTlxcHA8U/cJYrs9u1U9O6luVVDnHU8W3Eqatbjl+J+HQe0T/LIgr4tg7x+B5nFm3POvfzaAt9PvXxB8vlGPP/t61tdvAPp1iV0FB/uh8KfJb1xUI43huAyqAww31q231qN1089ceepHygPqIPfvUtcINo26vve01WLflTjv3rnUrHbzu/JCX73zFn2p+Y3p2za2cjvEL3Wfe735152FTiI7Td4ToHeNhAcQAfHQfNbiF7bbd+p17v2f/UTH7rm2vUo4Hd4P+09/+BbtR/7qf/tuepWZ6v9Vv8NctqZgxMDJwZODJwYODFwYuDEwImBEwN//W01B2/5AE47c3Bi4MTAiYETAycGTgycGDgx8IOKgccB9FoAvZrnO0SnSA/wBF4CLZSyQZjAZQAmYN16oIZSGjwHy/fa3DtI7zxU0Szb1TEHhoFk4JxSnXJbLfPWf+bB717AXV+W8J2TDbzz7XbmratTPfew6pb3m935BcSz3354B38DTZIImoN+A88B5OYrKKgefPvUMwe0b5MMdpBuznYr/JmjVbedkjR4aty7sh5QZ8FdC96pY89WnNo74AxQg+odC8hKKhhQXd8FxGoQCQAAIABJREFU1TuGhX37AnsDPJedNKv3wHDz1rUDXVOTfM2ZJISOG6j9xJ0yvOtNnDz/7Uut3lip1juGSh1E79iuDahPn6fvwCuQ3npzBoyD/a0HlruXAej3v3bBPU297FG4rprUAengeS4LtRJRpib6l75+WbBLPlGPfOy179+B7VrPUaIBZf3M/5funjGA3nyA8j0TCQGNufuiEu/Y3u3eY7HY9qBw733z0DmzdA/EdR97YkuxCsi6dmMpDgOuE8/r3M0ZoDyJJau0gVrlap33fVHvno37JGUsRwMxA2Sroc6ym9tDS2B7X/eMgGy1r4OpVMi1+nqOwHTzckHYj37hUpeD642787ZtAPqKx+ZgFPJPvjTzsNu0X3by6xzj4LASAdrfcd1799S5A7uBZmr5XSk/kHip2tUBNy8SnsSBd7vnx4nAuz4JHJ9/7UrAkDQj4aFtjUUddHXZd9X5bT30//n9T842cBlw3uuld18B6oC5pAAKdJbq1Prey95JCQjKNIwCfYsZiRudR/JDjQtE1xwF/0qeaHstoA6as3IHz/d7bbkryf/Sqnm+K8J3gK02Ogi+t11lHjh/XC30APoO3oPnEhckJdR29Xvz37Xf+ff+0R/+7Iee/ncB9Hf8/Ec+cQD6+Rvy/DvixMCJgRMDJwZODJwYODFwYuDEwL0D0E8QnA/BiYETAycGTgycGDgxcGLgxMD3p0Bn474r0oFzyx3MAVeBGAA4K3K24CCvmts7QG97YBHs3WuRU5mzfg/WUZFTi/e7c+39nBsYt40lesAv9a7r1aft7NhBewp09cDbDjxRjlPiThLBgzubZOBKUkFwEqQN+HRc/UE/0G0fgzGplT7Q+/lvX+B8VP2rrvmu3Hff6lzv4DOw2vVAc/c4IPn+65e9N9CqRnj3NWNYauh+N/buB3jvHgLTQayxbF9Q1n0PhFsK3Zpjx1Z9wVH26EEuVtLFGbDdPdS32Op8wHKt3xTw1OOj4L3/+p2N+wLvjZHde9emKHbt5oPilptAwK4mOaL91OlTD3urqR2QC8alkA0Csm9vGWSuT+9X99Y2tcuzUgfDi7nmt3UAfazln3n1eib97hiW6sVD/dvv/VHnuhjcExHYgg8gfvqVS3HceCmPg+eNO3BXP7FobFwPev+6rkSSYLPyDmOpvmqYFyMAssQJ9vRXqYOVNNH51LdvvsUNZwKQmfPBxPSn7+7jstl/8qU7d4wFwSmn2bvvqm7g/Kp7vsB667uCfkD2r/7mnBeIV8O93xIyij9Avd9738Zs+z42fcQUpXVxFeztuld986WIL57U/6a65rBQ3Hed5r3tk1CxkmskKHUfkpi8o20DzynQze9Y7j/x4sBzEJ1yfAfiFNFB5x2g2wegO5YdfAAdTO9ed4AusWFXlUtgmXdj/e6+u98B47/21dnG5p4dvWcsUcL72/2UqEAF3zp4LjEAON/vhRq99b0G+l7/nCod/AbOrd8CdPB8V6h3TgA+YM7GvbGxcpe80PW67t/94FMDz1segH7+Fj5/C58YODFwYuDEwImBEwMnBk4MnBi4dxToJwjOh+DEwImBEwMnBk4MnBg4MXBi4M+mQN9V6HsD/di4A0RsuQNrYG8gzTZ1mncrdnXFQfDbWt17PXO1wIH1qX3+7Bvzm5IcbGbvXv+WU595A+32OTcbd2PROh/ADDKNZff916+kAArcfo8l9oKGrNzbVrusye+/Wa8b2GJzPyrg/XrrvEA+dTpLe4p7sJSSnOpe7fmuQXVqf1C1/mzr2xaQ7v661ijmH/zOBaaDyAG15kltZKp5INn1KW/VWt5V3lMbe9VAp2RVAx34ZrPeNds3QPTh3VgCeOp278p29dJrUz9+XZsifezo778++4Ln/QbTgUJtzrfUuAA8q/hU8cE4ABY4HSXygrHqJ3d88C8laxA6BXqwvLFTrnetEkeCxWqVB8Qp0FuW5EHlPwkLS2HPGcAzbu6dQ615CvXmTMLCJBmoB79AokSYICNonjq9ZecMwnWfuzODxJM9Zltnxc7J4LIRXwrz5qzr91v9cyUAOqY+1PMSNNTfnlrjT740cdG+oLJ7otIGgMUWsAxQA+GNa1eeB/nHMn2rcy4hwvH9rn/XtY11O8t0CTKTVLEcFkD+4kF97omttX4B9SdfmntUE73r9Uwa2/ue/M15Jmqi16/x9k1W/9s8TvLAine/x9J+uVNwNahJyJEAU19JFs2xZ1R8dD2JAsBz90SBDp7vNcL9Bpsp1NVFbx2s7jmwbZeE0vJ/fO+nHrHe75rFL0V6DUBvXbJFzwo8r3lunmP3uteOr01MfOyzV232d3/k/gXP2c1Te9/WQAfHqdDru1uog+0B8R2gg+g7OL9Vn+/9Oz/1OYi+15U31zXKc+rzA9DP38Xn7+ITAycGTgycGDgxcGLgxMCJgRMD9w5AP0FwPgQnBk4MnBg4MXBi4MTAiYETA392C/ddfU6Bvq8H0MGj4EWwDNAEcLNOb5+6zhTUuw35DtcBbYC438C42uYU6aOeXGpzoJEi275A+W4R73zO2bHqOu8106nXA076AIeBJVbtVNwgYvcaAGRn3vwEJ6mjBxY/+J0LANa339Tsu/JdbeKx3V5QP9jafQKlu5121wPdgc29pnn7m5OU92zpKYhdjw0/AAvqBwJBtVr31bkptoNWangH5QDzURkv4AkUsv5XJ1pSAdUtYDpAfSnHKY6nFv0Cq7vqHJRXpx1wB+q7JzXWpy76Up93DbXer4SC5799QcOAOTvsgB2Arha7fpTFgbixfF5W0oG/YOAO0Jv/nnvgs/ntebbdc1W/vMbevRgSC2Pz/dTLjyQYUIVzDuj5gqati5Xmu/4SFQKvJSW0X73wxlprfMH3Yi7lamr6R5wOljND62B5z6X9XWdAfurzzWJ96nCvbZ1fSYOeV89dwon73NXTA89XX4pocTPP9sFdYofn33aKYw2A32E6aN7yqne+1M57HfRdDR2Ind8f/uIFZKm/3S+AvlvVsxsv7sRV99Q74f1ojKC7Z93YstWvdQ73op46gO4d5GZRn93CX1KFJBT27fXxXWpb1xdvxmjuqPDZrFOO76B8t2sHykHn9meJHlSmWAenSzbZYfoo8MHyDzw7MSgBo/X93pvP5sz8cImon/e1eWR73zNUA11iw2Xnv2qiN67WG2/rLW/ru1ODu8+9Fnr7gfSOaztY/jgF+uNqoQPqjlH3XO3zXXW+PwNzToGuZd/+4+/+lT9QA73/9p+/k87fyicGTgycGDgxcGLgxMCJgRMDJwZODNz7Ac7BCagTUCcGTgycGDgxcGLgxMCJgRMDb1uAru55wOZSnm/bW9rOnjlwCogG1mpq5wK9tRTg7MWD2gFCamogHVwPeIPkAwEXSAa8934BSICvYyjL9ev8e51z59pV8W2nWm/dmPVld07lTrUdZM4iuyWoq/47W+lH1KGrDjTrdrAXxNUafyALAN2V+m1jKW9+qI+pg4FVatTGrOa6xIP2s8afsT/7xqitB1avBIJAFftv6nJQvXuk9la7OpAJfI+qttrpm8Lb9al1wcTdAj8Y2HHqrYN/o2J++pXLxpzKfOb02TeuRA4qcwp6AN0xrN1dm1U4i/AdcLKBBtRbb0xgOvjG0rp7Di7+hf/liQHoaqDXUpjXqNHVRa8FrgH0nkfb6tt6y/ZRw1P2S1poPrvvlsohNH8cIbpnczk1sJd9OpBPbdx1UqHXv/O2/hf+8t8asFjsK7OwJ5z07rWdlX/LoHDfA7W5JZOA2dwsgHLwWGmD2tRkp/ZfSQ4cCiTuAOudOyDaNvXQ2e1L9JmkgmUvD6SqJQ6kcxK46puzeV99AWTwmt099bj7A+qp6PUD16ngA7mNh4Le2Jt7Y24Mrde35hpXYsGqTV5sjDX789++3n0JFpJqegck5xT/9eeQIdnHOyJO2jYK8PVOTNLAR78wsBtA39XnYC4FOrgc7A0is0JvvWOzbK9RowevA9e9Q70/1OclpLRtVOjr3RPHvkdKAxhnc1vfWuehni8OuA+A6JIldoAOngP9gX/3JkFgV533m1W79Y7Z7dt3C/fHwfNbiL6r0Gt7UsL3ss63vgN0CvQD0N/6v7lOO3NwYuDEwImBEwMnBk4MnBg4MXDvbTwHb/kATjtzcGLgxMCJgRMDJwZODJwYODHww6qBTm0eQN/XA+cgOoAe0AkUAcIBGSBmYEbK52VJDjyDu4FvQBhAp5CmSL9Ur8vGPbCtpjm1eL+py4PfO4jfz9O+vSZ64K9mLM6hVjp7+B2kSwKogeQgODW6uugBKBCHehv8A9HVT6ca3cG52uV7HfmWjZFqlPI8yDq2+Avws2sPjO1jBcwp/0FyQDt4JvFhwNpS09tO+ds+tdwp81loU6GzNwdHO7a5UGd97OwXvN7B/AW5n3n1zrp7AXh29KDfbH/2jQv6Nacs6sH6UTkHM596eeah83dcYLf7olTdVb9AszrVAbZgPLX52EVnyb3qL1OfB+EG5q0azcG/1inQd3X3rz//6iyLv2JejXR27t6FWkrwaS9+a64L8lP5S0iQaAG8cznomSsdoHxAz3Lqu99/feaJSrp9nidwHwDsupJKmkfX7JkYZ9cHLtUzBzRLJOlbMXBzWbJ3/5NEEZxe6vLu6yoD8elXZo5n3rc48U61X2IH6M7Cfd65BZeptdVjbxxUzlTogCqQDm5TloP41OvXtjVnLbtnyv/uqzFwWtgV6p6d5Jqu07N1vQvSb+4Gl/34UrVPWYaVcDDv3bNvXMk5exLJ1C7/3F1CzrgQLHeG1vsmaJIfAH+qfuMe9fxS5huf+ufB20D6buNOfX2rQr+Fv4FzcL1z1XoOo9h+11MXNC9GJkFljYPyvHiYOvEL7s/7uKB689McN87OM7Xrn3nhUraz8O/ZA+ndR/0D5411h+hA+q6u3y3c3fPt7475kwD6LTgHynf1edsdq/75Pn+7At0z6JrVnwfQ3/fRfzYQ/R3v+eAfUqD/0i9/6M+dvyXP35InBk4MnBg4MXBi4MTAiYETAycGTgzcOwD9BMH5EJwYODFwYuDEwImBEwMnBk4M/PEYeBxAZ+HeMli+q89v7dzZM49NcBBygdcgDGV2AOeR2uSf/fpl1b4r0ANxgTlwnSJ8B9mBPDBvt3e3fVef7+cHxvVp+2x79o1Haq6DhPrsEH+3eG97yu7O2T0Cu0FKUHLqUKfOf3hXfztwSXFav44BrijPgWFW2Wzc1XhXJ77WOFmxA+vU/ZTobVcHGzxj7V4b6/Nn33hE+U3Z/Vf/6R0EbX+gEqze65r3m4J7VzkHsaw3H+y5u9+B9w/+5YxvbK8X3HV8cwWKz7w8vLOjVnd9ano/uKvTzF6frfk8hwXyg2isvtVbp0gPijuOXXzHjqPA0//i6kfhSmmsdjJ1dQAvm+nuo22jeF2QLiAXGK+pLz4A8IO/cdVy5x4QsG6/3+pU149yXS3qxqnGtkSBnrGEiI6n5i5GOAVcz+7+61cdeA4I8x6vd7zrdr3GE0Bn4S6mOm/PsTG3XrxJBhk77Qd3anPPi2I6WElt7V64FdSPgrpr1VcSA+v2jun9aYxXffVlAU+RrvY6iB9ErQVLb+t39yxG1b0gqhrpap23vWOKP+BW/fSB+wtwz1gWXHdNkL8GPPsmdK+dszYQd839xNZyZbhU8R9/E/C7lsSS9il9AH5zoTCnXc870nrPbXcJkWjRvE+SxooRiSWen7rsXaOxFMO34HZXooPlt4r0vYb4ZW++ap/3vlC35+AQPB9Azk5/zUXLSbgJrG/v3+4YMHC9Z7zqnLNtb9xgOdv2FOfU9C2D5ca3K9Apu4Ph1gPVu/p8V56rg95v8Jt1+63SHDR/nBL9R37sFy9wzrp9n8ddiQ7Yd90doFOgB9Df8fMf+cQB6Ofv4fP38ImBEwMnBk4MnBg4MXBi4MTAiYF7R4F+guB8CE4MnBg4MXBi4MTAiYETAycG/vQK9OAU9TlYztKdfbtl29U1DgZRYaupu6uqqR0BvfoFo3dwDQ6rh05hDlqD2rX6UpNTVILtIFy/6+OYfr/nn98p4B+xdH/+25c1PLv3wLgxuR5QvV+zpo54ADOozmI7OBVkDIL2G2gfW/eg5v2vDdhRU71zsnKXIMBCvvOAY5ID2DKrCw+CsWcfEL+st0fVu55P/VoGUgH4gCo79EBlcDXbctBywODn7tTM7QNCQVhqfEBzB/Gs7TsP0FofQD7ADWLXf+D5qldebFGnU+13b6zmWZQH3SmtWbarod3zEHPGNzWmF7hvvfil3lVTeuppr3mZMS7VdzE/oPPjXx54N/uefOmqtwygB+qC0MHzIHpQuj5Bu66zW+OnyAbSU5y3XpwMSF/1yBtjv7v+AOLlbACYNx8U7C3bV7yAplTM3X/zVT9gPkC6K+FLZmHh3n1I4mhZ/8bhvD0j4J81u6QKde3B5e5zkgcW9L2U2g/vYG7XUA/dcwKexY/65uKHErvx1F+td3ELqE9t8wVZA6k7RN/hK2X6qNMXsN4dB/Tz3Oe8K8miZzmJRQu+jwp8fSPFPEX5APgSM1ZyxpQP+PiX72zvV3kMyQdg+X7OmiSWvqvzXi1niq7TsmciMYTV/tiz33/9cnDYn+e4LeT+UMIFm/p1j1PWYM1h87eDc9B8r4MOnqvbDfpap1wfJfV7P3VB9EA2BTrl+SSyrGe0W+kPXO9dXAr5ngl4Pnbv6z2spSYPltckuOzK885HUQ/uA+h7IsCuQLc9qL6rz/fkAtB9r4EeHA+M79D8v/zv/uYfU6LXpyWAvreSDG5BuusG0Hf1OYgOoP/0u977o0eBfv42Pn8bnxg4MXBi4MTAiYETAycGTgycGLh3LNxPEJwPwYmBEwMnBk4MnBg4MXBi4MTA42PgFqDvinNK85Totu1gvW1sfllNUzfu9u21n3nwuwObKcap0QFu8Jwle33arr55UA8YbxsorgY54O1cFOagOihPrR4IZNu+Q2kq271WOsCvDrqxOl9NDfEd0DYP1LxgX7AqEDoAa8G+luB2+9V3p7DvmsGt9quBzqodEK+/WulU882LJIDuAXDfz+e4sW5/9o1Zst9XAxmYqx9IDZKzRVd3mUW1Gubs4J0L0GNzb64Cd6N2X+4F6o1fdu7ZxD/8xmVrD/6D8eIuyFcSA9gPwBt320Hbrkm1HdQc5fNSxAeYqc/35vmNFfhSnAftUmkPPF+/KdGD0Czci4XembYFSL0fICkVNsv2vRa20gisvz0jiRLFeWOj1Jc00bG9L51rkjA+/cpdYsHDO5v39rXsOlTybNlbD7gFFjsXwA+WN45xM1gwvPFJQmibBIgLFi878sYAjLde39YlW0gyUUt9r4PumLZRUVObizl1wp2T+hv83u2792X7AqoDiZdyGfzvfD1XEHlcJDZLd4p4NctBdTbuIP8k0ixFvHFergqrbnyxM/A8iB7IDvj/wzsFvVIMHTff1RXvPU8JE/t317eqc7cE0zlKdAxniL1kQ30mKWCp3t1T46DYBpaps29rcgPIOzi/VU0PfH7XU6M2D5y3DKgD6L1Xl6tDavQ1v3vNetb+XALMV+8vMA+cV+McUO86gfNa621jjQ6e7wB9rzUOmFOYq4e+A3T9d/v1XVm+q853JfoOzmupzh+nQJ852uzwPQu1z4Hzd3/k/rR3/r1/9IcHoJ+/hc/fwicGTgycGDgxcGLgxMCJgRMDJwbu/RDn4ATYCbATAycGTgycGDgxcGLgxMCJgbetAh0Yr7Fw38E5hbp+lJApS2uslikc1T+n1gY6Aelblfde5zzgswPhICGozpqdqnyH3uA7G3hKd+d1jfq2X0101wjGt2QVT6VuvOqqD6xatdVZr4Po7NipZymeAT+26Wqkt1+N4r2+Nwi2zxuASj1+a3EPvFOsO4fxUaUD71cSwrNv3CUdLOt5oA0UBftHZb9qlVPeBuioqtUWZ1PPVp1amsW9+em+gtkBL7WN+z3q39Syq2Z8Ywyud08A4A7/G0vH74kArOXZttvOIr59AevAcMAWzGx/CvyOc5+1KU3w9L8YEEcBC5oH7cDz1oOBLNyD0V2j+ue/953vzLujhnmwtLGNa8OCyQHs9lFjzzv19F1dcKphSQzFcM/c/Hf/3A96B3ZL+JoYK/bUjW/9fU/+5rzL7ORrf/GvvXPuRWmExtV+76b6481J1/RcbgH6bj/e+fQZEJ1DwEqCaJ3rQVB36pgvNXSt7ZTlnAXUPmcbD0x3TsvgKqv14HXzn8KcXXvrlwp91cRmG87inqJZTXUAfeq7L4U2a3c14Afsr0bJ3Vi7nhIDfSslO/S7GHY9NdnnHVsOEd2/0hCj9F9z0Hvh2yJ5RlmHjpH4sFu7Tz37z782c93z5FLgnW0MAHX3yb49NfcOiXd19m7ZvivTd3C+1/BW/3ws25divGsEzwegb/BcTXtJD+zdmyOqcwB9khE+8Oxlzd4723lbBtPVOG//Xk98H/vedrt2Vu17XXQK9H0edoB+a91+W+d8V5/XP1i+Q3QNSE+BDvbf1kDPvj2ArgHoP/7uX/mDo0B/6//2Ou3MwYmBEwMnBk4MnBg4MXBi4MTAvbfpHLzlAzjtzMGJgRMDJwZODJwYODFwYuDEwA8qBnaAzpqdXbta6Hs99B2oA+3BpLFwX8rQCxovYAvkgupqdwPrbQPJKcGDdEA162gW7iA2KB7w3qG5fkB70IiSHXCmNt9t3tnCA+h77fHgHtW3vvUbVfSC9nMvS3HNUlsdaHMyyu6lPqe4Dl5RYrM9B4XVnKa87loDvRYcq6l/TlFufthtq5muDztnFuhz3qXuN+ZU84BeMFkdddbvAV/AFExX0x2ABtapzdVh39Xp9Q8Qd311vTu/+t7U7pIyuq44Avn22uZTl37Vop+a0J9+U+HLAeACr0sZD6AP9F2AE2QPiKuFzqI9QBdsHoXyUy+PjfuoZFdTu7klW3QAvXtN6d01eg8kJZjjAGGwsucTrC5u69NvtbeB945rHsVzUNVcq1HeOYDz1juPBA+JGfVt7oOSvde9yz3/xvk33vn+AZH14wRB3d41lQ1oe5C2Y1nPi+nmtDkEtpsz7wTQTHkPqrc+SRfB71VXvXufRIql1qdiN2/ioSXVOut4oL5nGLweG/6lZu6+AfR+D2RdcNZ+CnUKZw2w3a3c1eBmz+6Z7vPRb4k1xbO5aHwlbrTf96Bn3Py3ZFXvWe9lDJRByO2jePL96nlwJeBkIPGhc3Xtmf8Xv3WNmWJe8kNzx9Y+AB143oHtbX1z67tau/VdhR64btl7klI8GEyJPokpH3h23q0g+rhBZG+/Ehxa75mMNfuv/tblHqBOfecAz3ueIDobd1bxQfR+t31X1VPS7yr0gHn38Vd+6n3TR63xHap3XL8p1d3/rj7fG9v2//4nfv4C7Lc1z3fVeXME9u9j3G3ju/4B6OdvxPPvhBMDJwZODJwYODFwYuDEwImBEwP3DkA/QXA+BCcGTgycGDgxcGLgxMCJgRMDPxgF+q46Z9nebxbuu6V7ABFEVwsdrKL6nLZAZdAuW+zWwVxW5KAwe3ZQd1efB4R3S3dwiAV7+/ba6f2ubjTYfaktl/JdDXSAvnU10QF5Y6PYbj/FuutKBqiPpAC26hTeYHGAsX1B3raNxfRSEbce0KKWlnjQPFCOUlzbXqOwnzldddAlItTYwl/QfanuA2fGCvhPXfaHd4pn9ZLVFKdknzG88N1LMQz2B+9AzLYDf1TkgF3nAAZHfb5gbeuz79k3BpKzhpeIAd63HmBsXN3fnnTQGJpbSQpqUrPT7/rU5Ozbg2+dV8KDcYPrAfMgHreAsfBeyupAXvtrgb/gXX3ZcGexHDzPwr17DKKrbS2JIajt2RvrOAB86etzbOrgjk39O1b3H/vK3H9z03x13L7ec50kggdvqstZd3ctqnGuAm3r3W3cn/vt12aMwcjulYV791NfccjOvfNTt7OH77iB9suGvnM1x1wEWi92qMinjvrDu6VnWfyB8VPu4MmXrtgUFyBvz4z6vHmUqMKWHqCn6FbjHAwfGLuALGAccLW9fuB6fS5Q/vE/vq1n0/gGYi/FPNU9eG5czcOu8pYMYB+4zrlB4kHn9g7Vp/eyee5ZFPO92yXytM4xQ9mE5piFu4Scnqt39irjsL7b5kwN9mKXFbo64Ts8v22AMoB+a90eCAbRWa2nqq5dNcw/fAfQe7/GYv29n7pq0avH3vbmrjHWr22NkbK8beA5mG5sbXdPVPUacA5Quw8NPK+5T8rzXZlOfU5pvtc9p0Df66Ozb7+teV4D9Pc67XsiQ2MKnrNw1/p9FOjnb+Xzt/KJgRMDJwZODJwYODFwYuDEwImBe0eBfoLgfAhODJwYODFwYuDEwImBEwMnBv5sCnTq812Fbp3yvN+1XYke4BsYDJxv8Bwk9jugQy0O5AR1gF9AmoKcapwlNZDNYl2zPaAEnHcsEO88LM4Bedehak99TlnO9h24poQfmPvc7z/Sh1J9r0kenGrZ/bMzbx4oclmMtx9IBwcBZwpy81T/7jNIxhYf4Ab7u4+OCaaaH0kBfuvPkp1jQPNcG0XwAuT1BdYBVOrvgdZLbR5ApGhlzw74syTf7zFAOkrxBbHZrjcOyltAvDF3Xlb41M9+B8Vrk1xQ/exl/Q2mg+wBaGr2xivBw9xSuavFXmMt3rL+e/3z4DN7773+efCO+jw1d/PZ+xEUp5w2j7eJDOpSz3NYFuvdQ2MH/yVFeLZcAhzvPVNOoO31DcizhQe7uwc10LuXtvU7ZWxwsXdmf/YdC84ORF/AvPtTv1ydcKr+qx76U3fuBf2uX8d6F7rHxstyXN1zsNxznDh46u5Zd03fGap1dcfnvVrOAh1z2bQvNbOa2JcKfdU+7/mB5I2R3XtLqmw10vv2SRRwn6zPxbopUJF/AAAgAElEQVRa54A6hXm/fTtLQBinhaX45pxAYV9sTpLFipOxiF/JKT3nAfIrLrpu7+Vu4V482eedtA1c7xq1georeUHCQGMuFoLQO8Dd1eetU57vluh+79btVOi3Vu7NPQeA1vc66M1xS3XQqdAnIeKDvzHrgDg1e2OtqXdOed51dyV690KF7vdu374r6WvVGt8hetC77Y4Bz4HzHaLfNvCcffttzXhL5zZu80/1XmtcwPkv/JPPzvJXnvzMbD8W7udv4/O38YmBEwMnBk4MnBg4MXBi4MTAiYF7x8L9BMH5EJwYODFwYuDEwImBEwMnBk4MfH8K9EAOWJ7CPFjUb2pzynMAfVehs3LfrYpBYdA0oAP4UrACcoDzDrutA9sUtLv6m0ocUAcSgUWqdOcC1oPkLdV0pj537eC437YFnerXOdsP0OvnfvZ65YEpx1PINj9BUPBNskENMASPKYVbB/XBL/fPVr17AjolHjT/1z2tmvTuydy3reOpeYNngdSeG3tokI7lM4inLjjFbKAv8BYYpIIGidlEj2X9qudMrdv5x8r8qZcvCJxjQeMKkIP8bOAba+fquPo1hvo2nvZ3DfE3auDs2J94ec5D4d/17WPv3rZRqH/sKwPrGl+/B6iueu9tV2OZrXuwbwBdquZNCUuBXpypX9/c9v70TABMYxjQvUAypXj3U4yqgd74G1fPkMJc7FGiB8nVUd/rawdSO5dYpCBP2etd7hkGzztHytWuKfnkep7PvnEd3z2wFa/1/MdGfanOix/wmKW/eGkdNO73wPf17njWfVc6f+co1iVZsOkHfnsf+k3NDjirz96+eS6B8QXQa21T33vg+YK1YHnXbz3IrhZ461ft883SnYq8e2WX3vr+bZRoNGr6pcZvX/PGIcE9ur95R5cSX8JH8wSGN4ddr3eg/twZevbt997tKvT5Fj34nZm3tjUO87Y/t647LgJPvjTzUJxTZe+wGRQHmXfFORjMxn2H6bXmXR10anNJDJ5H71bbvVts241J/fSeI0C+Q/TGCNjbtqvlqbv9DjgX/+zYbxXoLNxB9MA3uK4/KM6e/XH1zve65xrb9poEAzXPJQSof+56uwK9mue7Ar12APr5m/j8TXxi4MTAiYETAycGTgycGDgxcGLg3lGgnyA4H4ITAycGTgycGDgxcGLgxMCJgT9dDPzSL3/ozwHoVJg7RG8btfkOzoF0NZPtU3t41J9g0cNVb/r+6wNsbmt6A7pgOQBMJa0WOlDdvmBxEPs9//z3rkb9Dc6D3dYB887jN+v2zheMbp/65/o4h/G1L5gN3u/nB6xAQFbu9oFhgPBl75yCdgF0EBWkBkkva/hVc938de6Z0xsLd3Cza1Kes1JXGxtUU1OcUr5t6qQH1NTTDvSxkVZzOTDd2ANwQbmWjVsSgGcNek/97lWnfCDrs29cNuwtA8TqmqsrX1823eB49zOw+f7rVxLBWGIvlTKFPHjeMtg+sHpZsY8F+xMvX2pz4LD1qa381MvTh21096/meX0o0QG+AekLrgfpAPSWOR0EXX/vO9+5FNvNafPVNSnjAVQQ1PPouTXWGdczr14W8L0PPZ/dKr9zU4q3lKjABWFga/XfX/zWtR5s7B57nztfJRACgymAxbG4AmV7H1i4d09AOkvy5n/s7j/+5cvSH7yf78aWhMHGf+zbn7tT5ItHMB0U9570u9hm9y/hoN+j0F7q885JXU4VD6QPqP3oF+5Uz8u6vf39ZuveOmDePfTd85samuqc9bpkk111Ps9hxV9xYz7mnJ+9m6/mgzV//ajpJ+HjmVfnfjt/8wyCS55Q5oHrxf4N2ZMduGP0fkk66drew5qEkcYNTE+d8aVAp4YG04Hn3QZ9V1HvDRQGiDtHFu7FYMuaRJTmqQQPFu6eV7+5BADwrU8N+499dsZGld4SQAfPu2br7NqNa6+BHnR2X8B5gLvlfp/A9y1k39XnIDoLd4p0S/N0C9CNi8W9e6Cc323xG3PQfwforbetcgwp0H/i5z70Sz/9rvf+aP/tP38nnb+VTwycGDgxcGLgxMCJgRMDJwZODJwYuPcDnIMTUCegTgycGDgxcGLgxMCJgRMDJwbeNjHQ/0T/zFe/8W4Anap8ANGC5Hs9dNuzhrVPzfSaGs/qOlM0qtMc0GElHizcla0BRqputc6Bc9t3y/ZdLV4D97quWuUBxtva6OqZ7+euUZ0H0NtPNTwgc9m1t5/inep9r8UOXlH2AsiUu/Z1TPAKNG6Omo8AL4AOZgHg4Lm5ABjVQN6V9xINAptqzQPoXUst7M4J3FO3A/Wdr+OCdq2zdGepzXb9r/7Trz1iXz125Fudc89+wPkCwmAfe3RK84Hqy7Kd0vzWYh0ol5ShfjML/M5nPJTu1OiB2oA4qA5at904uo466YFwED1AOsD8A3eW0uBegLntQPvs/8CzF0DXeg7Nz68//+rA1xTetbGCf+LlefZdtzEVG/0GgYPZWb8D7M2Dmuft6zlzFGDZzYpbv3EOWGB75nGpp+vTeBpH73fx1DmriR7oC9ztSSEcI3qvLrv/1Odf+vplFQ6SswDvuo1b7fOWA7VT93/4i5cd+27l3/PdHS18Szpm4nYl54DIFOpjsf70nWW6pIjG0D2qW05VDsBygwi2snQHXxtnfffWNVoC6hKHdgU6F4GuNUrxT9+5F3A9aHytqx1PKU+5r16676cSBN497gVXMs9W7oGKnCOHBJsZz+fuLP31B8zVi+/YnnPre9yrGR/M3VXou8X4DpVvAfpeK506fIfDtnl/AHIW7rNclu49V7XNB5iv5Aegv/8Wta8+PafGmq07lXmt/4ZV93yvIc4efRTsP/W+RxID9ub+SjDpdwCc8n4H7be27W3b1eegu3kyZ4HyfV53tb65kgBg7F07Bfpe/xxIT5XevgPQ3/q/uU47c3Bi4MTAiYETAycGTgycGDgxcO9tPAdv+QBOO3NwYuDEwImBEwMnBk4MnBg4MfCDsnC/Beg1UDxAvivQA+hs3Ke26pN3oIL1c8uOA4wokQMzwSAqajB0V2cD6GzY+x3kZbFOBa5WOoV4YFv/tqVED4AH4zoX+/dgd/spyDtW7fNdQQ7KU723rfPsIHyH9upPA8/APYv065gFzkFrdsuBtMvafQEy6mn2zOqT70ruoJm62f2WbGDeqJPZeO/9KLp3qA/M6ds9AtigMzBes0/98at2+QLnQbjORTXr+bPuBrfVXO5+QG1q8rbrr68a6O2fJIwFx6nOqXmBQgCdellNc5bvnQvE1VeflOb2qW1OcT41lxdUHFXsh7849+13kK9ldu21QHlzPedZAJ71dvNWfzXc3Z+67vULaE+996fu1PJa5xTHxVTPbZZLYUzV3Ta1yXsvx3J8qfAB4Gzbax2ndvtYcb/3UzMm70DXooLunOD5OBhsyTMtJQCoeU6NrZ8+gG/vWuscASjO2bR7vmJO3DW2gc8L1r9/U77XWK4HV3tGzUPfL4rzWqB1B7etB2CnZvpSpe+qc8kBYLmyBQA6i/a+h7Xmaleq1zofJf7Ucl/vl8QANvAzP+sd9u5ZAuY9E+4AncO3cq9Xz1FCeYC9dr0a6s3PKNiXer+5aGlu1BHfwS17dr+t7wC9bZTnu+ocEA4as2I3/943YH23eK+B+YHwVOe1nmO/Oz/Avtczb1xt779hoDnA3/k6tnZr3X4Lz+0HwfVV91zbVee1H/mxX3zEsn2vd26uqM1BczXimwP7jIELQDA/UA6g78sD0M/fjOffDScGTgycGDgxcGLgxMCJgRMDJwbuHYB+guB8CE4MnBg4MXBi4MTAiYETAycG/vQxcAvQqTIDO8A4e3aKc/CcCp1iPXgOoAeF1MIOGgWV1NemoFQvHJSjmO73btd+1UVfwH23WdcA8l0hTiVLaR4kdz59gfO2DfBe2ynTAXbncTwLeTbuFOps4Hcoz5YerFZXPKUx0BwoU+uc7fJlr74Asrlqv/rnqZSvBIJV/zqgCpy37LfrBmKBeNbOLNyp0NVWto2tdNdkpd11BlguxbZnq0azBIlRby8ofNnOL/U5ANi5Wge1WU+3ZCW/1whvX/MmgWDqNKdKX4p0NtaUzGyzAda5ztOv3FnFL6vq1nsewC1FOHv3wHeQe0D3guDs2ilkQXS/A31AdM+he+kda71ziHtKX/f4Mw/u4D91cffl+FF1P/3KjFVteskS3e8OTItXdc97J3crcSrtveZ78Lyx9r4ac+AvYNc87c4Eu+1+4yp+Wc0PLP/EV67a5l2z/dwBurZ682zYQWXPtJjb3QZ8M7qHrj/OBc+8+kgcSbig2B54//B3Lgg+0DwV+qp/3hiplhtTCuXbOugdy76/OXQ8iE5RD6SnMAfvJQrMeNa2UZ+vxIXON9/TBc7Z0EsIYN3e3LGtl4SidMGe9NLSM5d00Pg8l76tLb2rygJwjvBOdb+s91neT1LBmqvHAWlK7VvF9l7//Na6nQ05SKwGegkbrNr73fs0iuy13b76t70x9OyC4oHvtrNgb73xgvlANEAuEWC3b6cqd1/g+G1ygOMA9n0dRN/rne/wvLGA5+zauxdLiQXGC553L2zv298YgHPw/HH27e2r31Ggn7+Pz9/HJwZODJwYODFwYuDEwImBEwMnBu4dBfoJgvMhODFwYuDEwImBEwMnBk4MnBj4/hXo7HoDRcFwtc+B9L3++b5Otb73DxANpFv2xgEstuas3AfKLVvy4E9Qh8o7uMgmGkC/rNI3O3eW8GzZQWzW6kB551IzOgB+C+n7HQhvH3jecbe1xdVCT+1uW3CZSh5IN16KcPta7/6zPm8JRjc/LM/bri75qLCX+pTKneIdmDYXOzTfVfz2sXRvzMHP4JxEhoAcFTtbZ0pm9cYvyLkUrsapNjmYroYzBXo130Fuc7mDvFr9gnjUxfo2Pip8teLto1bvXPUJLOvLsr1GhX1ZtReXrNuX8n1qoi8VuFrsY2F9//U5r9rnLdlJq2Xd7/pTpY96/aNf+GMW7s1/NdF7T7greKbde0txy1K/3wB686ZGOggNjrJqlxjR/Q5Af/DyrLMe731kJU4p3Xi5TNSv83VMNaADes15MN+5pyb3mndjS82sFrpYBus7pvM2bkrtsTBfSRFBaRbtxbPn3xiLu+ahbYAwl4Bd6V4/MFgtcvXJ29f9uN+uFyynLu/bB6AHKYFz8BxA7758I33TwPNdfc6aXX35KW2wnDk4HfR7FOnrvWiM6qBzD9gBufeQs4UEAdb6xUzz3L7mkZV/58gBgQvGXGNZtpesYa7G9SAw3zv7xIuzP2CuHry5UjcccN5BOZC8g3OAGGBPLd1vymkQnbo8QA6cc3QYmLzqoFOjA81gOuv1ljU1wls3JtvYz+vbbwkBgW39d2B++3tXqO8W7rfw3DrVub4A+l4bHjinypdU4P6s78AfzAfQa7/y5GcuiN7v3uMA+t96zz/41qmBfv42Pn8bnxg4MXBi4MTAiYETAycGTgycGLh3LNxPEJwPwYmBEwMnBk4MnBg4MXBi4MTA96dAHxi0rNzVNmfVvivRH9d2O3dWx+rqBpQCNyyJqZTVQm8Z7N0BOtU3qAtcg+6aPtbZru+K9N2avf239cupxvdrAeiXcnpdr+uD7bc10vdrd0zH7pBePWKAmWqabTtFLVgMlDeHQJla6PpIKGDfDaCbLyp6MB5s75qNo37qiFPhN7YU2AA/y25JD9Sy7a8fi2/wepS53d9Szwdfg+hBZsplAD3oR+Hc8QA9dbv62+o2F0sSCgLcnfMCsk/dwW9gfa/Dzrq+mKQ+p6QeUB44fGrVRX/6lYHKapvX+h14DuT9+Z/7zAA+VuhU9sH0+nScGugB85ap/3unqLuDzW2jGAdIPTu1xlnxU5lTblNlU7Kzbu++mn8K8Lb3mxV9kLR7bJ1aublRi7x5a84aWy4TAVC28pwdGlvX2ZXMA9GXHTiL9q7bfDTmXfVOdb2r1tu2q9vrxxZ+4mHVBp+66Cu5AzTvPuvbteZ5L6U99wv260HrICynjZ6T+tmB8757u/KcWp36WmLQbF+QHETvOlc5gQXDmw+13lmyu9eOnWM2i3v3Mwk1z31zkhE6pudMYX8lwCx1e7+7jnrnEkvUQ/eOsXGfd3n77rDH916ywDe+7r/5os4HoXeovINgdu5/EkDfoTGFNXAOlnsOxaVtlNjU54DyDpnBcHAcGN/hucbqHWiv363anKp8V6I3btbtYLi2W7ff1j9vHoB0c9J9SAZwjxIK+sao9c6OvuVeT7716ps/DqBToAfQ/8Y7338B9J/8Oz/7X5RAd/4+On8jnxg4MXBi4MTAiYETAycGTgycGDgx8IOMgRNQJ6BODJwYODFwYuDEwImBEwMnBt5WCvQPfOqr/wBADzLVxp74wcuXVfuuQN+BOcAOsl/btvMEemoUlUGmXWX9tz/1jYE6VNMAMet1IHy3Ywe6wW/wuj7s1dm9U6TvCnXQuW3OwRa+der3Gkt3LYhIWW7pnK5T63zqELOhB68bG5AlkWBXowPplL63alP91StvO1gOmNco7lnI79frfF2PgjjIXZv6xw9/Z6ApkLnXHa95jvUHPam+py76eubqurNZv0BqyRXrfsBXiQKj5t2s2ZvvUSOveusUya0HwgfQrnPXKKRH9f70KxdUBlD32uedJxjatUaVHcD/9J0Vd1AxeFfc9rumfrk659Tn4H2NzXswblegB86f+Pxr8340Rlb7jY/LAlBu3yi6X/zWVQO9uR6w+2tfvRIgJHew+xcjPXfPoTmfRIAnXp77aIwlBNQkFwRJiz211btmqtXgnufO7eCy/l8QXMkBluUs05vL+rBvF0+Nqd8s3NUA7/66r8ZYH7HYOa7EkwWZ7dtb5+9eLangpw76J+8s2Keu9699da5xla346BcGEI9F+4LlA85X/fTO0bN3Dmp+sH6U5AvwS0hguV+ToNGcSAiQaNC4u1dzN+UTVjKN+uZU940dDJ9kkmdend/FSX165soktN33pFZ8iSHvtNrxatB7vyj5G5P68MUtxfgOcUFmqvQdju9QfQe++75b+/bLvvy9n7pqnFvfLd/3PrazZN+h+W41Xx/K970B7hIDAPQdpLvX29rot7btO0AH1XcF+p5UoPa7e7lVnnO6UHfeeuMMihtrAL3f6p4D6ID64wB6/+1/q/8GOe3MwYmBEwMnBk4MnBg4MXBi4MTAiYG//raag7d8AKedOTgxcGLgxMCJgRMDJwZODJwY+EHFwIsv/NZ/DqAP9F6AXH3fFLN/92N3AJ09+w7SbaM8Vw8dRA+gqf97gbKHd4pKKuIAacvdSp2CEpAGyalya0AxqE5Fvtc3dywovgPy/Xr62081TrnuGIr0vTZ74Dpg7zzA/G6rblys6UFdCmL27JYUrOzug77AGHt1cwem7XXWnZc6nwU+u3BQOngWrAUuAfbs6fea1LYD9o2Nnfpet10N5rFDr673Uy9fNcgpXnfY6Te4z/LfucHurh0QH9CnxvoL373s1i879qdenntqHwv2sQFvrj/9yoxRzXPnbt/0e+LFqz56cJWqHPRtG0UsAL2r03tm9Wk9EBbw+r3vfGcU6MHzgHTzFqhtLGKItXv7d7U5aM4WHQxVo93cBWrr33mCr/XjdEDZzKZejXc29C1zEGi9GuiB/vZ3zc6ZQrd7kXDCbp9yXP1xinhqd84TrMinjv0TL14KcpC5beA6t4G9rrkkC7E7yvf7b9rXjwvCqh/uWhI0au1vPK23LxiuHnzXbr3vW/btQWIwHVCXCFD/EhdY0ncuNvVg+iS5rPuWILLbu09cP7gD1b6LyiL0LLsWdXrPS31yqvMZ/0oukfDCyr9vgASD9imTAMR3fkkV9TFnvi1dt2uor17rPFTnEg0CzSA0eNvvvc45BfotON/hueP2Ougtu9YOkwPGe7+B7MvqHETfof0OxYF2Y91Bunrpu417Cu5bBbp73JMFbgG69Vv1ee0/+x9++gLnNeB8r3Wurjv1fY1NPYBefILoxloDz3cF+i1Af+ff+0d/eAvQf/pd7/3RA9DP35Hn3xInBk4MnBg4MXBi4MTAiYETAycG7h2AfoLgfAhODJwYODFwYuDEwImBEwMnBv50AD1Iwsp9r4PeOii+w/RbgK4WOgX6ZXG86gBf9YoXBB6I89zvDyQL+rGuptAGtncADRir7x3AHkvzZaO+K9epvkHwwDHwrdb5Xm/dtajVQXfHO4byHIDf7eKpdHfFOeU78Nu9UoID58HSAWjb3LAfB9AprwPJ7OQBeHPY/Bkb6MimHaDsWpIUAPZHAP66hm22qyc+QPSZV6cF8hqfOuMgbzbh1OL6DIx/cGdpDdRRsF924pva3HEU92qkS8QA5gcQL4V1fXoWFOra1Hl/8qXrGHXO+x34bkzOE1hu/F0ziFXsAue7+nxvF2Bf1tMBt93CvVgNhAfTg7q30Nx6c2sbgJ5yna13y+4zoKtGOit4Fv3cBfYa8kFqCQJjO7/gf+fqXj/3268N8Kfw7vqAKVV71+p8ILrEi9bVTe/e1PJu3vqmDMR++s76HIDuHO1XCqDtLMiVOGBnvrsyjP37SurgMNCYp/zD51+7FO+du23U3Xud8sbE3p09ue9fzy+AToFeC+y2ZNXOel1tc/b0FOliSSLAlTi0wLlkDnHe/YHhoPq8F6nCKfPd9ypvIFFlL6nQOjcHc+Rd9m1ojpRuoJLvubW/+2CXP/fR/X/0CzM3gPMOpHfADCbfqs53uL7XT99rflOSs4gHlUFw8Nx7datedz427WD5rpTv936c2uh7f32ozvfW/e2Kexbuu3U7tXntR37sFweg11rf4Xnru3W7Odi/L74lPYOSPHb7/MYZFN8btfnjFOi1UwP9/B18/g4+MXBi4MTAiYETAycGTgycGDgxcO8o0E8QnA/BiYETAycGTgycGDgxcGLgxMCfzsL9FqAHASk49zroA8EevDwwnJ37Xhe9vnsN9I6rL0U6O2dgKxhEkUyJTalNKRnsBqPV/KasBLd3W/e9LjnrdjbubQ9+U9JSq++11YF1sNl5UmPvkByc3i3enbfrjJJ9gcvWW4L8AWFq9fp0j+4pJbh64KmCa0BvAGxXjN7WQ6fqdy4AVk15+7t+oK1rUXjXh6ofnAMwqVvbN1bVz7x61Ukf5fYTL889AIDtU0+dzThl+6X4XhbW3VMNYATH2UuDf+qZ6ycBg8LaeUbFm9p81ZQee/alNp866QvAs65m2Q4iq3k+dt0f/uIc07LtamEHtwB2Cu6Wl737B+621S9wFzwH0APnAPr93/7GxNAO0NteP+rvlj2nlrXeIYpykFsN7Oa9GGTnDnR3XM937nsp8T2boPmo6J+4g+lBusY1UHiB2JStAHrxoI52wFVszXw+/NpdUsZKmGk50Hu5Wcz7HkBfNuTipQYyi5/Or263ZwkeK2UAprN3Z31e/FOez1ie++Z1/ZbdG6jfN2t+b6UrOjalLxX61Lh/4sWrHIWkoI7vupKCnP/9233uSm727mq672UIqOS5CVCIu0cW7r4DkwDy9CvX3HuH2eFLepF04DpKRDSvnR80Zx3Put07Og4U1XtfavzmpXarQg8qB2fVPd8t2nd43jFgO+h9qyQPElNa74psNcEHri9QvkN5iu6U2iA4+3e27Ls9e/sep1Lf1eXW3UNwfKD/pjZve78pz9v+3/71//URK3fbAfTG2bokgV2Frvb7JOWs70lz0nKv557aHDhn39621Oa38JwC/QD083fx+bv4xMCJgRMDJwZODJwYODFwYuDEwL0D0E8QnA/BiYETAycGTgycGDgxcGLgxMD3b+E+9aGzHr7/JvimQN/hOCX6Dsttp1Z3HDilT9eYfdmTP3zTwnu3GKfcHpvxBcQpw3d1NYgOZgfIdzC+27gD6J2z5a44B9/B87apXQ6gByU7rrbbu7N4B9Bbuib1Nyt6TS1pltUU8O6bgjTL8qmPvKDyQLBVpxgkY93cst/uHzztvGqTq5U+0L36yQ9+95HEBVbPgbN+T4LDqkNNBcwinCJdEgQAWl+qWTCOvTvYaSwAOYjY+eo/QHKzJwffAf3gZNfqmsoCUNzWL6jZvqv+9ALEADvVOajcvrFs/9hXBqBfFu4LrAezBoj+k8/O+9F2oLx9geia2uitB9UDe7sCvRZQTgFcXATH2xbQDFxrPbeeSRDdvAfe1R2f9/Oz//J6zm1nge+5dIz3BYSV3OBZcRBoDjq28QeG29d1Gse7P3J/7kO8dq5515Z1ungxjqBs99CyuaLOViO+ZwMucxzo3JIhxNeUj3jhX8828Nmz3ZXa3o+x21/nZ99Oad/zVhOdalwt+lGZrxrfQeKWQVc10Pvd90vt8kkK+uydBTu1OVV6S2p35QTmXfr8a3MMBTxXCY1iv3vd4XnPiS07AC5ZpHXz4z2RYLLD8uZMPzbuaseD6VOnfnsX227sjbl5GgV+IP1jn71U5jtAv613vlu3WwfCg8e7Ah0sbxv3BqD8tp9tbONbgtz1uQXh1No7QHecfnuf3aq9bcFxlvT7kur8tn0vcL7D88ZpSXFek4zTe9h3SDJB88Fmvrarznf79kA5Bfpu364NaD8W7udvw/PvgxMDJwZODJwYODFwYuDEwImBEwPv++HNwZnc84KdGDgxcGLgxMCJgRMDJwZODLwtFeiBlBrgDYK3DAJRX4LrO2RXF33g+lru9u6ODx6BSXOuYNQCyaD1Vb/32TcGeAPWQDrl9w7RA8cBybYD1MHu+rcMFlOgt9552b+D2lTgrrXXPN9rre/nBdH3Gurqs7NON77O47c63sba9mAW+L9bVVOKA25AKatrx3Q+vzsnNS9VO1jOHp81/dzLZ+9qbI/N+aonDqhRne+1qT0fqnbQdq+NLaGAehz05UBAGb/DQpbUFPeU1b/5RZcAACAASURBVI2DVX3nq90CfDDVHO228BTowHHqfiBdnXP10kFzNc4B8QD6WHwvy/b2pUwPdgHoA9c//MWBXyk+s0QHz4s34BagTnXOot382keJDRizcy8phdV9cVPMqpHdnNdX3fGp1b3KA8zzXskQwOxu2d95G09zEABPHU8tPCA7m/4XvntZzIu1nmvbGnfrls0NBTkgyyGg5eUa8MyrM65JqlmJD+K/cQPorsViHIyeZJAnXrwszTu35TzXVcs+wN3xoLhvXWC4Zzb2/k+8OM+O04Aa7fYFx0H4jlWyYFeityxJAAg3J+zR+y25o+MlHkgaaCkxxP3tZRV21w6W7n57jyVQ9J0bK/9V+qLntMeHshGAevPWcuq49571Pn76lQG3zVMK7x2gPw487wD9Vo0eOL6F6kDxXv8b4AbdtVtQf1tn3TqV/D62x9m339q77/AdQGfhTm3+OFie6rx9WbU/Dpx37h2aq22uLMTebAfRqdCz0GdJT3WuBcj3Gui7Ap1a/R3v+eAfAug/+Xd+9r84NdDf+r/BTjtzcGLgxMCJgRMDJwZODJwYODFw7202B2/5AE47c3Bi4MTAiYETAycGTgycGDgx8IOKgVuATmW5A+5deX4L0HfluXV27lTnIDrVZg3cUgt4V1RTRAdOg7O7tTvrcxB9V6ezc6cCpzivUZFfNurPvnGp1/da4s7hWsA5UMnKHVi3nZo9ELWfF+SnSNef9TrIvNd+b9uoTJdae+pDbzXEgXfQuWPrl2KdMhVM32uhU6qO3fTDb8y9uO+u3XrPG8hlmd95AHS20J5JY2JDH8QDfWsU78Y8wO/B3X0NYH/+25cdu5raA8U3u2t1v6noWwLqA+er1fzwUbBIgftX/+kdBGTjrt70gNFnXp1tgXQK9YA5tXJAvG2td/xYK3/4iwNRB5z/2lcv5br66WqKd0zwK+B1a+H+m//nN//oU5//rcvi3LbAeL+b/2AqgB7g7H1sW/eUurs+7gUI9R6NJffDO6jbMZIMOgY0p2LvGp2/Y7rvzt1Yu0cW8n/pHX9/FLq7U0HXMzYW8ZMc8fnXZqzA70D3J1+61nvng8gtp0b4U3dgu3U1zCmw1UYXA22zn0K6OJ5SA6skADv4YqJ48CzZsLdd/fLGNS4an/2XdxB91Tfv29V60LJn2Lkb/1iZ1+fpu3FxATCfEoO4L3QuqnUOAGLfODuuOfTOdQ515HuGEk0kFFCfa96heddW0tG0z7825/HeSkTiYNCz40TQNrCcm8A8l6denrgeO/qlPA9ysxG/hdO3tc9vAfq+Te3vgenv/dSck6U79XnbWLsD784FpFOy7xbxOyjfreYB8VrxfKtmV5t9h+glwBg3eP449XnjYOe+273X1DunOt/rnNeKMbC81r59W/PAOn+3oN8BOnAOon8vBfqPv/tX/uAA9PO34/n3w4mBEwMnBk4MnBg4MXBi4MTAiYF7B6CfIDgfghMDJwZODJwYODFwYuDEwImBP5sCXa1gdsW70hwsD9JQ09oWfBol+q9/dZb1/8effvERwK6W8ECsp1+5UzovyEQ1HfhhfT5wdqknA8EU1KD0XsMcUAe8KccpMSnHKcUB7qlPvmqlq3MOkNdYr7fNeHZL9l2FHphWs10tapA/kKW/BAH7WNNTlbLMHui2rMlZuoPFalJ3PvbnXV9N9GAZRb15A7oB7c7b+QJpgbquRQnPWh1EBzTr03620FTmxsNCveOAeEpzKvKr5vl69lS6aprvNtdU7pS2uwX+KH2XsrzrjoX8Av85DbSfzTpYW9zVOiZoDoK3vtt+j+37/a89Arcua/fVOrfjA/H1a1yPs3APln/ut1+b3/M+vfCvHwHoA04XFPYOgKxswQHbxqmeds28eT7NBXcHCRFdr2uoX15cFB/sw3tfG0vr6rIH5IJ/XZt62XMCaXsuzRko3DdEzfaB0p98ZbY3N54HG34gXbKIOG0JHIPpzXF9JgFn1QFvfWzb779+AfqrZvqDfznHzHU++oWrhnnzlV1729Q+Z+W+q9Dro2Z6x7RdDfbdDh7A71j3oc75PJ+Hd2AafFcjHTxXo717KYmBlf1VAuHBnTK/83SP5ojdfeeWuLLXU6f+71j2/fXv2XS8sgDFsZrp3AnUcu/+moeU5+qL74pulug7QL9Vhd8qzlmoU4Krdd770ry3veQTtdBv66hbsm2/rbF+q4y3bjtgrqmJDqrvTT30YHjLfgfLg+J7HXSgfIfou2W7RmEOknM5GBX+2lbMzvqqgQ6gN77ex+A5wE99Hiy3Hjyv9EJLgP2qlX4U6OfvwvNvgxMDJwZODJwYODFwYuDEwImBEwPvOwr0EwTnQ3Bi4MTAiYETAycGTgycGDgx8H0r0Gv9D/yWATAQHWgC1AH09quH3pI9cg04B8/1BdBHqRn4WnWvRy354A4Kta6+OIBOlRv8Ya8ekAbPQezW1ZEOeAPjoDUFeXCRQhsM35Xu6p/7DaY7l+v3u+tcoPe5339k3PqB612vcwHRgPtey7t7nBrwy6J5wO4zr95BtFVXnBoYNAaVg2HBdrCMmhi4n2s89/sXPAfcm69g3PUslnIcxK0vy+/OTQlLNX4poBcEVt8d/AP71b92jo4L6qrVDO6zo97V6ezsrUvAaE5c3zyyvKZ4VicbsKUmVx+9uK9/fYHdWT7x4mXbXp9i94+BsAXPO75l6tIg1w7QewYB0qB5it6e3ajAv/T12T6W9gt6Tk3xtb1lv9UOb67UCfe+sOXuvou1wGfH7ErkzrXb+rcvYK5Oeu8uZTyAHqQLDHIKKHY7Vg3yYq9rNVe93x3bvbFHZ1tu3psb6yzVOQ40Bk4MNQBYTFJwU6D37Cm82bYD88VDz8rxEnYGuH/iK9NGlb6U6EFiv4FLMH3G+8SLV2JR5xUb02ep4UF1LhsAukQR90GZD1aD8pJJ1H3vvWF3L7aL/Vv3hmLPO0MV7/hiqvdnvqXPf/tKoFASQDKL5IfmlyV+6z1HdeF3gH5rzW4boP69bNx3lTilOfV5c0513rXYulOt74pz229V6RTn1Nq71fw+dtemTgfQJQK03NXz1ORgOnjOpp0S/dZOnupcE1uSSCapZJWBKIGjBqarfc7SvrEGwXsnd4DOpn1XoLNv/xvvfP8j9dJPDfTzd/H5u/jEwImBEwMnBk4MnBg4MXBi4MTAvQPQTxCcD8GJgRMDJwZODJwYODFwYuDEwPevQKcaDXq3zsa99QARyA6i62O5q80p0vudEl1d9YDVQKxPvmm1HAhSA5maOYi21/ZmIc2ueFd3B5tZt98C85Tntg1AXzXAO+YWhNeXlTsL+fqM0nbZvu+10IF2Nuyjul7bgfEdwAPmAWzQ29jBfWrRtnd9NbrV+A6Oqwm+w+XdCr/jWqq53v0EzCj729/5zSlLZ3bxammPUvXFb12Ac+pmP/zaBbt7hlOPe1lXOwbo9OzUyzbGzl+f4F/bWPPbx5qakp1CflfOq3G+K9VHif/g7lkFqAaIf/zLl3oYIGdRPcr0BUOBePB1bN+XqjmYF/jqfinS91rFLN87ru0B9mBY8Pz/+4M/GGhe670Y9fPHv3xB7N4bUJq9uuSHUQl/6euzDpg3L/WvUfsDr2Kne21/dcw7J1v4lpTL4Hzbe+d7N7OXZxnfvpSsgcGpL37/9cvVYGzMlxp8VNfLEp66v7mwnyK6eQzGKt/QnM8zfngHltXuFtNqtKvRzT2Bk0DnKabUU2/u2++593tg8HrWFOPKU/ie7Sr04GXAkmX/2PN//MtzjHhn2c8WvnapzRcEp0AHoUclvwD+WLsvlTrQrua7Wured1DbHChj0DYJLJMgsN73zj0x1Hy98N0r+cW3om+2JBdJOJIvRnV+//XrmUlwmASDj312YO5uI74D7F3tDZ6D2jvwBsvbtlu120eJTnG9W7g75lbR/icBdGPye7+WsQDq9jnu1rIdQLc9gF7N894PlvI1Y6U6Z9s+STjr28CNATyfxJIVf7W+HeaACn9PROieAuhAefAcTN+3Bc3taz0b92qg//S73vujpwb6+Rv5/I18YuDEwImBEwMnBk4MnBg4MXBi4N4PeA5OUJ2gOjFwYuDEwImBEwMnBk4MnBh428TADtB/+Tde+wP1z4MpFOdU6GoB7/BcnV8wiqU7SM7KvWPAdGr1rkPFSZ05FtDLjnzg6QLQrN3Zp99CdDXHwe29VvlutQ58s4unPu93anOq9FGIP3en2r61XB8Q/MK/mea6rh2oVlt8B/gXvF/jZ0W+w3X3KkmAcjs4RqndHOyW6WzS2TQD1O1ndd8Y2YGnKq4fcL+rlNl/d9/BPOpVtZMbX2C1ZzUwcymEB+wum/YdlNcH6Lat59oxbOeBQs8DyAfwnXcU5csOe6BoFt73X5/j1ZRmdd98DRBfqvKgVb+Lrx1+grDs3AHJtu027cVp8Q36ZvUOrrZeEgBItoOyQGzK81ogO4Deu9L7ESALgjb3vUssu2c+FlDtPntPenbBbrW2OQTsyv1RHQfBX/jXFyDtuVGMDxB/8Vvzjool7gRdv3llL//rz796KeUDb0HB5oGFfMd0PtBX/W41yj3T+htbrTn0HCiz1bDfLfybF32KBYk2XXOA+UqGUFbAdwRIZ6feecFtSSiX9Xq1zpetuxa47Nzs+jkMUJhzgpg67quuutIB7QfuJxZXwsm8j5+++556Xs03m3njnXd4JRJMvfsFzblyFP+744O5v2L4/uuXVX5xL8GmZ1yToMTZYCzpH9wp06/khAX9KdQn2WCp9cHzlrfw/NaufVebg8gU3qzb7aOu7v1pf7+bd+D42r9gedevOaclOL7XPW+8u8J8V78bjz631vR7LfMdmt8q0ndoTiW/1zunOO/9oTZvvec2TgYrjmbbx788MVl/iRyN8baG+64o3+uf/2kB+jt+/iOfOAD9rf/b67QzBycGTgycGDgxcGLgxMCJgRMD996Gc/CWD+C0MwcnBk4MnBg4MXBi4MTAiYETAz9MgE5JqY6yWr2BlZYBIEt1m4NK6hGnMgXRWwLo+3pQZrdzp6hkM7zbmQPolNttB7/V9waJp575C9+9ALaa5623r3UAnUK8bWqmq5MOnqshHmwOsAPyjmkfkN/xrtG49QHcQfIaq3fwn+07gH6B0GXtHCALgjU3FOZqmquJTIG9q8jVVh8184vfenMeV59AWftbN77O8T89/WhN6t0JANRuTCAfJfjAuwU+KdpB9anlvVlVq3NNZd6x6pybB1bsqe6DoAMcn33jAqJgFGgbzFYjvhYI1WdUxmzZn3l1tteXcnysv5dauW2pyoPhjuleAda2A67s3cFzdb5Tb7Nvbxl4Dkz/3ne+M44M9fMOqSnOarzfrde/d1ICBLWw2uNqmfc+ArbNJaeBlqB592/+Aszty8K9a/R7B+hqs2cBPQD9ibt56dj6q3EOcLOeB18B/bY3HjW1RyW+lNe+M5wLOrYxAboU22Kq+zEHnbvY2JNI6gtIU8aDwmqQN1aK870u+ijjS6pYimDOAp6x7yEVuqQfFu6cCjyHri0pSFLSJJs8ePmqV66UAFiuhrln7HlKEPF+eXe6L2Bd8grFfn24C/Qe7e+lOul9m/ptzmY+798p2HeVfnMDoO+wueWA7Xf8/UfA9K4Gv1V8U52rew5k7+vA8Q7YAerdSp4afYfhNUAd8N/HA+K7jnvaIb172m3Z+70nCrTdPOzqeOeRCFC87823SOJO8WPfFX8f/I2JTfB8B+hdDzgH0gHy2m7fXh8q9QPQz9+M598NJwZODJwYODFwYuDEwImBEwMnBu4dgH6C4HwITgycGDgxcGLgxMCJgRMDJwb+9DGQjestQA+cDOB6eGfjHORj0w6kA38soSk7qS3B81qwEEBXL731+gYQOna3caZ6BoyoWNmcq+0LEoKtO8gGFkF3+yjE2b3v24LcaqmD4fs5KMn3GukU6vpSmgP0gDrl+R9TpC84PfXOF0R3X6Ay22Z258C0Zf1bjpX6qp8eEGeHzsJ9nycAfc7x3O/P2PY67tTd7Xd+1vds5ts2dZlXffZ+g34BuZ4plfAoX1fN5e6p64CEO/if45775vRlTd9YAvoBbXXYgXdwW031xlff1LVtB7VnjIHOZ169qxv9sa/c1S5fymoQnhq9a6Uub1/zHsAfOP7xL0/M1g9knXrN//A3/+jP/9xn5piOH7v3T3xlgDR4XmtbAD1I3XncZzEk7tWxViNdwkr7zC+b7fqAtrsduoQKqvXGC6CPEvzjX57jpvb651+7El9apz6vBeeCg+pwq5XNRt75JRgEaUcFvcC149T9bltz3vYB7yuhAnwHyamyuQ/MM13uBW3jGOB74JiJ51U+wPeIzTowrGWlv1u5TzLEcg5gq0013Lw2f41pkhyefOlyz7i2LeBvftrfeSnKJ/llJR2oU04db94krQDrlOEdI7HIN3IvvWBb9yW5QjLDbvnOqaJ3QEmHzknZroTHXrM9oFsDm/d653u9cFB9V3qrcQ5Y97ukhPqA4/2+4PN7P3UB9AHk7/3UtT24XV8AncV5+ym3QXWgvr6uQ8EOTLe+12PflecacN49WqrzPipz0H2Ns2s1xt294IqjX/vq9d1pna1/jSvGbuNunK6r/vnUMv+FfzyAXO1zID2A/kgN9J/7hwegn7+Jz9/EJwZODJwYODFwYuDEwImBEwMnBv6To0A/QXA+BCcGTgycGDgxcGLgxMCJgRMDfwYF+me++o13Pw6gB1+m1vKXvv5IPXRKdEtACmDXt5biXF30AYGbhTsFesCGel1dYICO2nnU1ku9PbB1QfGp77tqlweDapTj4HWQDfCmIK8PqLnXM6dWpxiv3+05wHD10inhu17b1FZnD7/bzIPvO0SnlmdNH+QC4NmbU3xftY6XvfuuSKU+7rxg+ED057/9SF1416Lw3sE/y/WByfdfv5TP6i9TxlMK13cA7bKUp3IHMQG6SQhYtc3r6zogafuoYynSJQDMuJ5+5YKK7rV1Nct31bm68QA6dfAoflc8qZUN5s7xS9HLmn3U60/cQfcLfn3g2Uv5zpZ5r4d+gfknXh4IRoEejA5MB6lTdvdO9P40t0B5S1ATBKfKbilJZWD6l+5UxPXvvfKcGhtrcBbePQfKejbmYz3+ia9cCTC9bwHFxq7+emP+Kz91Z1XNEl1CBPV7/QDYmpreSj5IoqCobxwlJTRnxtp+SmpzssfQWKcXL+vZK/MwcfT0XQ14inY264By12R1Pt+qT3xlIKWEge6rZf16huzZPdeeoW9bbWJuKc7Z0Us2ah52UN9+9eS5LlCTd4xa8GC15AT27M1Zsd96z5IFv2+EJBvPz1geqcH+3O/POcS+JAX11ftmtZQU5drdpwSB4HSxsduis3AP7O51w6nOqbUB60lKWCC+RgVeY1l+C9BB812V3lhKfOgcnRtEB89va6jvAP8W6D9OKQ+Ks2iXIAC0U8rvdu0A+q46972QWKH8Q4k5ozZf72OxRolenfmJuw/+xpVssEP+4DklOcU5iP44BfoA9He+/9pX+8s/+Qv/4Vi4n78Tz78VTgycGDgxcGLgxMCJgRMDJwZODNw7Fu4nCM6H4MTAiYETAycGTgycGDgxcGLge8fA0//s6f80BfoO0INMmrq8oJb6vCynAXSgbK+XDqLP7wcvP1IHHVCnQgcZKDJHWfzMq5dFedsbizrawWEK67YF8YLAwXBKa/XOby3WdwgOtN8qzK866ws4A/Qgu33G0TUp0FnGA+q7Gp3NvGPZr7e+10Dv/kF7QPmqe5zN+VKDA5fqWash3n7XVGscbAPAg3Hd+1g9l4Tw/LfnuJTWFJGdu3EA2+zYuwcq9qm1vu6HCnye/bJ7p451DLjrXoojFu/U6a4VdJIIYDyBPzbVHReoHnv9VQudvfsox5e6nF1y6/s5qMwB0bZ3HXXOa/Vhu6xuMSAGlAXa2X4PcH/q5QFpxTeAXpta4/e/NqAskNuzAcx7FgF2IBz4plBvGWTrOjtE7x2sb7/Zi6s1r+Y9V4jLQv3B71w25C0nGSKL9P/9lRlD72bnTiUfrPuv/9p778oIPPnSjKlY8Y4X05TkIK4EnKm7/qU37can7vYC6OYT8O2c6ppT0gPBlxX6AuVU+mrau+5l4/+xr1x11dVDl0Sh3ETNHAwkXtbZu717LcC5JwTssNv52Lkbr3PXH5RW4oIKnH37JMksWA6aA+y7bbvyBs0Zu/UB3c++cc0txfl8Bx7ejdN3whza3xxOGYlVIkMcUdA33uZWgtNu4f44BTqoHlwGqR9X+zwwvCvMdzAOetfUAA9MqyXetvqN48MHf+NyC9ghu+sB6vXrOMD9tt9u6Q78742F+qjRFyzX1Dnfa51zvBg1+fquSAzrObV+lZFYlu0D0VciR/fm/ijQJSrUQHTwfLdvb/22BvqtUv0A9PM38fmb+MTAiYETAycGTgycGDgxcGLgxMC9H+IcnAA7AXZi4MTAiYETAycGTgycGDgx8LZUoIPfu5qTUlGt8/b3W2NLvNsw7xBdC6qxdA8eAujqAwe9qDEBemAtqLur0Ee5/MK/eRRKLyU4mF2jBGezzradslwN835X3xxwp3oGw0Fcym1w2nnA8yCo89co0B0TuAL4KcCBfnW/3cuAeyrslUjQOgvyHaA3b6DrVUt8QXaqbxC+e2k+AXVq76mVvVS9Hd+SnTvrdhbeVP/qprPR7hmppwyeg+SB3HEyeO6bA3I7npU7O3j1zllzD8xfavXAdPc5NtML6I99/FLlB2VBzOy+Oxasp/hsPSg+gPmplx+pfT5K9FVXHTRn306FTmFevHaPwUXWzOzc1TcO9JUsov559968pZ4N4AHBlOfNT+saVbrkFdC4sQDPapFLeKHS9/yLP0p1765a3JJWOv/UKH/4OwPMGyuHiBTogbiUts0TtXqxCfCyTAevwVzOFeNesK7Nlr1vQWNsnkBdz1ONc/ctptxTY6dUn2/Mc9+84kKSxSRMPPnSHM+SvHutv/vmmkGFDhT3bbrqoX/0C1eSwQDQFZuj3g+ELrje+pQJWOdpHOq8g/u+mxJEnIPi+3LgWCr/5oIFP5BerBeT3pn5Xj64Swbpuiz1a12PC8HY2ecWsb7n+lHN9y5KfmH3Pq4Sa96CvNTQgDLVOdtzQB2I3iE6EE6pTV0Optcf6Lat96TGDn1g+HIEAM8BdMpvMJ4yvd+s3Vmru94tQAf/gfMU6O6R4ty9cJvYr9t3hSvFJNx8/MtXjBUnkkomEWUlKE1CyYLoteKOdfuumgfPs5PPEeJ7wfOWwPlu4a7vj7/7V/7gAPS3/m+u084cnBg4MXBi4MTAiYETAycGTgzcexvPwVs+gNPOHJwYODFwYuDEwImBEwMnBk4M/CABuhroVOcgGLi1W7YDW363f1S965hdkd5v8Fztc+DcsgY6UfaqaQwcU0ru9cXZkwPhFOXs1AOQuyV767tSnDKd5XoK9B20d76A+P/xxv97wfLORYUOfjt/y84N8FOyU5XvNdFZutcCYRTt7mGvvb7fa+sDuBZIHNXqg98ZYAzwU5KrKT6wfVPUu49gHHvwscJfgLdl+0YtvqBlY2xclK9UyOzSJwHh1+8SKCjHuQWYy87tHMbOFn7qQS877p578QTkB8JLbgDKWcRLBph65k/cqZqBe3CeYjf4C1q27rrqnne9XZ0eQA+QDeR95tUZA6AeMBtA/vEvz7nA+avG8RN36x2f0pwCHej+hX/y2bFw770Iml91zlfyBIAOjkskoRKXEAC+snCvH2vuxi3xpf09Zyp07+2A9vWOd+3m/h9/+sULoDc+Fu7Bw2AmmNszZdkOCO6/JQcYl+9B/XrX1Ug3Bopr909xr174JCysOHTf6tVLZujazX/nV2+d1fzE0/oNck/CwZMvXd+mrh/ArAGaow5eMH6vV915BrIvZ4NJxnji5bsSAGuexR2b9r2mO1V969THVO7ei7FuX3XKJYx4tlMuYc3bfKsfrsSGZeW/JyCJi0lc6JuwbPDnO/HgLlHFuwK4d0+75T7L9J/64CcvFTrYXHIFq3MgfAfAO8Te1eG37bJ3X+UQxjr/E3clEsBq9dL3Fizv/OB4y8brmvv2W/v4XZUOqg/kX/fS9u6Ztbz7kUjj/TfGUZ4va3brPZtip7iYRIbNoUC5AEkCuwpfosKfpD4PkLNvB8p3BXq/O2bvewD6+dvx/PvhxMCJgRMDJwZODJwYODFwYuDEwL0D0E8QnA/BiYETAycGTgycGDgxcGLgxMB/3ML9cQCd7eyuBKU+BdE16kYAqOOpXIH3WpAqWK4m+t7atys9wR/qSkAQoB2Q/NzvX0AVBA4MB4ACtWyxqcAD38C5Ougs3YHwwOt+DsdTolOTg+jAvfNQnwd2934U5QC+8+9gvX4d57oU5wP3FzSnGAfjqMrND3toqnNKVRDb9r3WuTrygcuWQV3zr7a4+svFAdvp5rdzsJ9XT119duMzHxIARg29jRXUAwO7TvfDfloiQHMZyK5fc9TxEguKAwB+YCmouazXQU+wnHo/0EVRPMrxVeu85ShKn3j5DuAvVXrbdqX5QK9f++r8BuavOugfeHYgK/v2EjGK9VTegekgtZrnoLn1Ad9LOV7zHrKF7npsw1m5T/LDi9+6lM17DXrq570muXe0+6dQN76WjeNzv/3aQLcf+bFfnPN17GXNvupx9wzBc6C6ZfCT+pti/Bc2eOh5UK8D6J23/SCw+1DCod/782P7Th3edvPWXE1SwVKJu3bjrkksANG776A5GNrY2w4k7+4KLccOf1lz37aB5+v9EX/FsXNIHGAvX+u+vHuSOdi3T3mLBbpL5Njt3rtOx/veep+Ua/D97l1pnhtH75Bvg2+7vh3ffRtf64Fz8HxXoYPnu107WL3bse/bLhX3agDy9FkwNfl6qgAAIABJREFUml377FvvHKv0npH9bQf4W5935IkX77b1nn78y5PI0ru4K9N35Xr9/N5rmT8C+Ldx7QDds5PAwYHismlfEJ2jS/Pc+Ho/3IdEgOYm+/bWA+fNcWB8r4G+1zsHxetTu7Vwr88O0FOg104N9PO38fnb+MTAiYETAycGTgycGDgxcGLgxMC9o0A/QXA+BCcGTgycGDgxcGLgxMCJgRMD/3EF+vs++S8+D6CPenPVImc9DGYBXSBasGXqFWffvazXWQPrA2YBVakkg+i3inRqUNbvANtef5u6moU5JfjAvM9984/ZsAeia21T4xz4BtbZsIPrwDZw3jEdC5BTnKsbDqwD34AypTko33nYtwPO1sHtsUt/4bvTT230HaKD5RSlbaPCZtHMjv2CzyvRgB2+euWNOeW6udwh+ijFV31z1vlsxVm+14dC3Ny4DqUwQMcOvufa+cceesH3sVpfSlu1mY3dHFGCs6+nWGdXDtxT56qxrUY5FWjnBbopitmDB7qC5NTn1inTA2bBtbFoXrbuHV/NY5bvvTMdO9ddlswAeokJqcpTeX/q8781gK97bVvvQ1BdDWpAE6TunaKcpnrl7MAaGnjnSkB9rA767TvLgt073twM+P/wFwfIN67dwj3o1/beX/cCtlL0d/9qjYOvAxk79sVvXXWg295x3mXuBWqrSxoAzpUHoJ4Gyjkd9FtSRedTgqJrgf5qnVOfA/wt2946G3dj3BtreKCeE8CekADEF6egefelbrk57zqU4lN/fSV5sF+fubv/+p3K/v7rs7847LwcHsxP5217z673YFeq7xby5oylu3jZrylJpvnpGp23sRarKbFBXrbmADr1do2afBIRNot1NeV3OH0prxdIvpTcC1jPMdt5qNNbguNqiHe8hJl9+35uS+Mw3l2lXv/rWmssQLnEHGCcFfs8l5UIorTDlZSz1UG/jakpAbFU8ZINgv3NNUv8ADgFepD81q59B+g7ONfnAPTzN/D5G/jEwImBEwMnBk4MnBg4MXBi4MTAvWPhfoLgfAhODJwYODFwYuDEwImBEwMnBv5sCvQA+i//xmt/QDUOrFEysoGmvqzfbhUc4Ko/GOM8VK8gn3rouyLdEgxkgXyB+VWnl2q5Fnilbr7qfG81uYNq7Q/0AeUBXvXGAfOxPF/AGqylZA+GU1VTp++W7bXG4Tf7dyr1HcLbvivaqUCp1neLdbbvFNZg9kC8Z169kgoA4+7bPAGvu932gLDVR8LApYZ99o05HyD3CHxfyneqb+pwNutTn33N+9/+1DfmOo4XO/UF/rsn1tOuCTY2L9wM6keB3vUD1KzUKXLbvtcn3y2yO35XgQ6IXA4HIJt64Lv6fFeeByzHsn1ZMQfUHNt+kNw1QPS2g3HFdvA8y/aWqbuD6gGyIJ668IB1y96bSTRY9cPBdMCwew/qNY+dv22gsHmTHDCK/qVOZ1P+SOLLw7ukl2JvjvvEV+6SWZ5+ZcYWQP+xn3zPgNKO790EwwOwA8HXvA+4X9bkxt+9NiedD2QHlpszFusd27MH89mNA85U21wK5n1Y53GcfWzdd2v9fU5aSg5qfN1Xy+ZTEk9JAimBu1fbHaeBo1wAZv4//9ojVu/NbedvDnwfJSl5hyb+VzJI9yxRqWu0v3dLHyUuuHGM8n69Tx2vhroSGJTqvodq3SsJwNmg63Q+YwuYex8af1C3+WDhXlP/fLc7H/C8gPClHv/As5NkQjGufvj3Auia98sxoy5fpRMeAejLAWLey4/dWb4D6N5H/bvuDtY7L1X7Vbf8E1+Z/dwKJDh41hwFJDd4zzwzDgjKLezlSaYeekkYK6ZmHGueSk5oHpvbwPf3sm8HyPca6AB62wB123e795/90NP/7ijQz9/J5+/kEwMnBk4MnBg4MXBi4MTAiYETA/eOhfsJgvMhODFwYuDEwImBEwMnBk4MnBj4swH0XQWqjnLNfm3vwyZ6t3rvGDBBTXXH3Vq4B66AdEDstu5vQIcVeGDpsitfcBv4VYfc/r1eeX2CtQFC21KHt2w7gK2euXOzOwfHKa5B75Tejt1rsoPn/d6B+m7Xvp+X5TllOwX6wJrVqEP9BuLGnvyF717WzZTZFOApzn/mwe8+ohRvPhwLaoNtHQOU698+4+zZqGvOXr3j1W2mjKaC7TxTB3xZ86vvzuWgPm2r/yhulw37qMdf+O419p6F+68fAMnSm1IYYA9gFVeN39xN7egFQyUYdO2BbEvxO8cvVXbHqYMOiAXl5jqp0j/2lZkr8M8xFOhB9KByavPqoLNJB9B7d9rXPATxuDZIOMmpgd03IAjqBuK8N78ArG/1wCXA7HWy69/1JcF0TBC/sQb0ej8acwAuBXpz1TGdf3+3Wa+Dr40JTK6f+QB7nWOU08v6GnQE9yf54ZlXL3juO9DzkywxCTkrkYQrhvuloAbRJRno03XUgwdKQdPG3RhZbIPhkgAkDYxa/ek7UE/pPgkGK2Ybd9cDYRtr49/t4AFZyQXeLU4fXce7W9y1ncrZez5JLssFgM07lXnHSn7pHPXpWyJBwftK+S8ZoeY67MaD4jtED+6ybbe8bNg3iA5U7xbtlORAOigOcIPeQPgtANdnh+ONE0C3b29s+Wtqjw8cX+ejCh9nlBXX4vkWoEvm8t2RwCCRxH+/HEOdLs6u+Fo1z9ViD5rvNvnU5y0BdIAcFN9Bud/aDtDB8wPQz9/F5+/iEwMnBk4MnBg4MXBi4MTAiYETA/cOQD9BcD4EJwZODJwYODFwYuDEwImBEwPfP0CnTAW0Bp4vwAcQUC5So+/ruy30rWU0ML8rNtke7wC964NsINSo9u6//oh9ecATcFYfnCIdSAfId6t2y+A12N1vSvSOYcFOsQ6yg1xdPyDNsp1K3fGU5a41437h3zyiLmc3TzV/ay3vPqxf9ZBXMoHfU1f3mVcv1TawaC4aK2vvQHFgOAjUtdSmDr6B7qP4fe7Orr0WCALd+t3cBF+BcDAukAp2AungbeO46j8vBTmVe+eozw7+u2bzGzh0XpbfbLSpQLsngDCINuDx6Vcu2L3bf4PslMTN+8zngzvgOOB8KVdbpkgfBXyWzU++dMHRwB+AaumYIF7HBRz/1b/99wOlg9NB6SzcU3YX68U/W/RdKQ66eic6FkAPQlKu9p70fqkZvtd6DwpSnVMbj5vEl74+xwWQ57zVUF/v+K88+Zk/evX/eu2P3vfkb14W7gG4/+Zvvm/uSWkFiTIdB1qr8QwYDtRdNc8pc0Hruf5SUUt4qF9x0HGcEW7huYSHUdYvN4TdmYISv9jsGu5/h+uBS9s4YaRAZ6ndNcyPJAWKY8kW3A08dxbdwPNV33xZfgPwxeie9CFJ6Kpxvpw3djcF75YSASB6x+g7MXj/9csO39zenoN7hfdukja2GulKCkh2aD6amxrQu0N0tu0AOueF3X79guMfeHbidgfcu0W6+uHNY+dg/S/5wXm8Y/r3W337x8HzqYn+1MuPQPn61jie+C2ZQvKC+fRtlWg0Mbh9g0B1//0sdryXHDCu+/noF0bhXwPQm0sAXaNC/ys/9b6B5zsM3wH6rcp8V6NbB9cB9J/4uQ/90k+/670/+ku//KE/d/5GOn8nnxg4MXBi4MTAiYETAycGTgycGDgxcO8HOAcnoE5AnRg4MXBi4MTAiYETAycGTgy8bQF68GCHn2rlUreCMtSLoEF9byG6Y3bQToFuCXTtNZ1HobfZUANyO3hV+xsoHzv257/9JlBf6nGq8wAT+H0Lyeu310On/gbFqcnrX511ivTAbdeqUax3XOtAOGC/11AHyoF3SnUKdYp06nYQHSQD0cEw8Ea9cpBn1OUP7mzRWbGbP8kGu1LdXAbYWa5TuLc/EAv2S6hwTjHRvsA3xXrPuOOobPf4Afd2mC4xgvOAet4D9B5+41LPtz+g1bVqoGuwrOuqS93v4lBdduBNHe76sWVORd+9B7+Dbe2nLmfdDqBmS83W/VbhWmt/kIz6vPcohXkg/HO//doAM/E/6vj2LVt59bQbY9sD7Op2s6BufwBuFMLrGErZvd4y5bVEBmUUQPds5dVaf/dH7g88TyHfmGtZuFfnGnj0PnrPwUGq20leWPCfSntqkK93GbgUAzPO1N2bDTYw3BiBdwr6W5Vvx4L17msU1+s7Mg4Y27WarwtQr2Oax+Z2kheW+l9fEBeQDX5Tz4PnIOpeaqLzAuyAOacICSmTENA3bSUNjP39SiLgoiBuzfteM10NdGUIuvYklaxECsr0691+/tuXE4REiOaqa/g+9656vuIQ7N3heXA3+3bwPAt3Nu0tg+4s2nsf2KxfYHsrsdA92S5xYZIClkJcUonj2bWD086xP5O9Xrk5uRIennjxclLoOdVPDM1/Z1YsSsyQqCE5Yf57tFww9PPfxgu+L4cLCSJTL31Z0kuEMafNZcB7V54D37cK892iXY3zfmfnvgP1Oe6d738EsB8F+lv/N9dpZw5ODJwYODFwYuDEwImBEwMnBu69zefgLR/AaWcOTgycGDgxcGLgxMCJgRMDJwZ+WAAdBKIeB9DBGNA06BZsoWBkB24/VfoFv7f6sM5NfRsgGevcBy8PeBk16lKBAhKXTfFSHLcMXKs1rs4vED4AerN030E0WE15Pirt5+5qdwe/AXQAXh309qm73v1OLfNl3b7btTcO67t9vProXRNgB/+p3wHqfT1YQ+muLjr1NyjH7rpxUeZ3XFAYdAaoa90DRbq+VObVMwfcgG0JCqMEXopglu7gfvdC6SwRo/gZeJndcdd94bsXBB2l+TOvXuCfgn7spxcYNe7drr4+EgY6PrDdOAaOZfH97BsXvGf7D4qxwp4kgRTFC1TWj2I9gA7mNY5gXfvbV9+pk/6xr9zVT/7wXV820qlwB/YtxSwL90BZIHIg9UfvACTFc8A6oDY1pNd52n7Bw6Dug5dHja5fv9XXBgvZhw9MXXWWwWkqd7XWu0bvWIC+8za2rt352x88D/QH5rJwB5T3OuK3wLB3ujGxe6f8btm2y756gXEwdBS8S52+JzXU53KfWApuUBwMts81xdZY4X/ylUdgJqAqYYBludrujZ0Kea+BvQNZwLx4aL6A71rXvGzPP7nqZD/50hVzOyjfk4t8c6dUQck+T7501UCnuPc+gMCs972P3iMOIa13r2Pbv74hfa/neS31uSQECTG1SVpZSQy9u9T5l6L8o1+Y5I+AOdV56ympqc9bUq/v9cpv1eGU/ZJadlU5S31W60D05Q6xSjM4fhIdVumFx4F0/y0B0nfFu/vdk8T2JLA9UUg8+XbtFu172wH+JIysxIDupXetOWwu2eH3PaAYB8Vva5nfWrTf2rT3rj4Orh+Afv5ePP9mODFwYuDEwImBEwMnBk4MnBg4MXDvAPQTBOdDcGLgxMCJgRMDJwZODJwYODHwZwfowDfVLsU4G3aQZa+LHnwBcQAddt7tZ9sNmgV31E13fjVhA3kta/YF+UAfyuuW7L0716gml4oZ8KUsr19j6jcgfUHzZ98YW21gnK05IE8hHujOfn1qnj//7YHZHbsDcDbiO5gH1Xd1eedsvLvynTod6LJ9V8y7zg7RdzvoYE6wHByfmuGrtveuogTGG0PnD/ao4a7+OVW9RIC9lnzPzRjYxUtuAKKpnXerf4p5zTPtWAkIVO9iEGw09lr3K1Fg6mlvMQGmq008lu5PvDxjBc2B8qmh/vQrVwLCrhYOkO91z9m2U6S3ncp84PpTL18q26A68B0gC55nhR7wHhj4kfsDwupX/2AwJS9L68BhYLLzBNsCkR985oVpf/djn72D9J/4ykA5am0218CheuPA69QMf3hn2957BlK2vbGOynjVggbQG3dgjoU7S/aB5A/vFOFqn4OEQGXn2BW9ILVxANTG6z3fASbgPIB0q31eDI47wgLNuwJ86oM//+05t/ihpgY6rwSOVT6iuZS0YC7bPrB1AXRq90vxvBIrWt8V8M1H11UbfYequ7oZIO9dAL0p/MU0RwXQ3jG72pxtvHu9QPiC7mp5947t76Rrtmy+9jIdwHHbuAiA54HygPkO0YtdNc9HWb1cEgDkXcUvqWPem9VnB93t3xMY6iNWd/juvRPrkmF2cK2P5yipgZJ/t9eXrMBRpfsXU5J1xCMr9/3bAfDvyQ6+H11rEmJKQlgtYN63AOh+HEDv3QPJAfIdmu+Q/LYeei3791uA/pd/8hf+wzt+/iOfOBbu52/l87fyiYETAycGTgycGDgxcGLgxMCJgXtHgX6C4HwITgycGDgxcGLgxMCJgRMDJwb+dACdmpSaEihvSSkZuLTNdhBV3W0K0PqBWiyDKdavWugPXr7qngf2Oo5lNcDVemNjsT2W2/dfv+AqC3JK6vYBz9TTAemuDZh3TGMHuCnLA8XtB8ftDzBnh76ru4H1HYKzcnceKnaQnsU7BTt1Oui+W7ezjQfXO0b9dIkCgPBeV7l5bz4usBwouv/6pVyvz9SJXvCONT5l6gXyl6MA9XnnZY9eP0kTnbc+IF5jr8+4EjQXz3/7sr4WH+3bn53flPCjDF01iANm7W+9hIjOD4iybqdQ7zoDe1PlLrDd9UoYYJ89fRdcpEqn5G5ZzfOOA+Q7X8+iY9tXn+B5ILt14FsLwLc/MBuE1jgtZJNev67d72C6Y2rqRbPC7jwDz3/1N2fMVOiU6b0fYw29QF7z1T1TuAcTW+/4AN9Yvm8JK71nAdHU6KnOq9PeMoieDfSP/NgvXrXXO5aLROfcVegtZ/+Dlwe+TmwtoAiedkz7fBeo9Xv/G3txU0x0LtbaPeOe0ZQrWPXPR028wOS0h3fj2UtIULNTme+1xanlWY0bA8XzQOCn7r5N1NC72t11xM24N3z6zhaf3Tiw23XZ61OR79C7+KWO3u+h92Ig8RMvXmUG9pjdSzpIJmF137EcQ6j1d2C+25NLWOAsYZ59h9UyB38BdDXQKdHbJk4GZC/o3diaZ6pvSSliYlfscxJgH09Zvtu/m0uJDOqRz1z1ji+orQHyEhHEgcSG3YZfksIkBO015ze7fSp9c1jc9FssXO4DEg9WQk1zU1PvPDv8HZzvQDzgvdcxD57Xbi3c9/07QG8ZQP9L7/j7F0BveQD6+Xv4/D18YuDEwImBEwMnBk4MnBg4MXBi4N6xcD9BcD4EJwZODJwYODFwYuDEwImBEwPfnwKdVToYprZ5jeIxMLOD8BoQC4zavtfjpuSzb6+Fri6zpjb0/ltNdJAURB5Ycv/1y0KeTXuNmnq3dA+gf/b//n9mO/Dbb0C7fsHSttVfvfRA8G4Zn7K7eugBdGpyfUHw+gVuQXOgHWzf66M3xn6ry24ce512QNo9tV5SQVCZCl39egB9V6ebl56JxAA11NUeZ9sP1O/AHtykQmebv9dSZwvf2CjY2yY+6tsz35+X2vUDVZ+7q8EM0LNtb79zq7kOuBeXnYd9Mzg3wLM64svOvfG3b2zTl1IajGT/HDAPYlOpA2yAbvtB88A6tTordzWfa8EyCvSU381rEDs4PRD9w1+8wFoQvZaaNxgJkgceA9IpzzuWrXWW8N1bEFwdb0CyZeNWCqF3h5IdDB74/cwLM46O7Vqd61Of/63Z1ngbZ8rWADqFccd5d8cifym3u8bU/X7ypauu+17PHdhXY7xnDTJ7t6nLi4e9rnpxs4Pm61vw9JvA2nMC7XeAPk4JD9+0WB+4vCznKZHNrXvZa6tTuqtv7numVjlnjfr5dgK18318eNdfDW2xC/oC36Ast469hvcF29f3WXyC3eMCsimoG0/nAcXNK3X1fDtXMkn7O6fa6L6/4z6xnil3goHiH/zkBdCD6bUpZ/CBZ++cDFZNcokEEgPA711FTl1uO+W5eW/fPNsnXnyz/6Yc3y3Tvf/KAkhe2N0DAG7w2/OgOGfPT3HOcWBXo4vHzi9mKN/VeveO9c40J72vzVnvkRryWbdTnLdee1z983e854MDzndIvvexvX72d54doHdNgP4o0M/fxudv4xMDJwZODJwYODFwYuDEwImBEwP3fkhzcILrBNeJgf+fvfuL3S276/veu0qV0vQqiXIRNVEQ4oY0EWqISCpUFI6CSFWcQoUCDilgZBMRA8W1wTjjmCmayYwM+LjHHjMBY4PHM47jajSpxjSxiGT+xAFcCTW5SURoI+U6vekVrt7rt157vufhGDB/MqpZF0t7P3uvf3vt7/Oc39F7fT7fN541OGtwYuDEwImBEwMnBj5fATr4FNChGgfQKRrlPwfXAXR5sQHV6gJFlMXqdQRqKESVgGHqxwpbZ+rPBSp2nmvKY9blCzRv6E2RTs3NYv3Dn/zVBdGbV3UD2UFwecjlQtcHS/f6mXC+Ocx85fXRmsgLX78U5kB4UDz4Dbrru3O50qfqHJSfVvGV+pg53kFlz0T5T6EKorM1lzOdspw6tXcO+i81/k9+an0GtxdMf/dLl1rfGtV2rcFWsgJ1LOJ7/9dmi3LbP/OKOwEFrXn1LIBW/ZrzAqHbdh8Y5Xyw8rnff/lSh1P8Upqz8TY/+bSvHOuB0K3kD5DXT0Xs2rhBcRwku5Tnb/nAqisPekBdbnQAPRhdAayD1IBt6xl4BNCp0Jcq+m3vvwA5lXTzWJDxqTuYuJ5156cGKUE8Cmtq9q53LZjX56Ca3NWUxYG96qdCT4EenPuir3rDqreUwju9ArU14ExNLt+5HNtdA9zllqdeN3+OA96l3On1Q5VM9Vs/rq+x9sYeQLN1l1Od6ry5tA6s41mU15dNFlTK1e/6Ujbf/42QFCgFV6nPxekErZei/t2v9GXTR3F2zfvBz1yKcf1eed+zxt/fjdpYX5C9dtOefuamB/Lrx3faZpl+o6Zl/lStg+zU7BOgt46BYIUaXXwtSL5j0eYN731aulN928BggwWFOvA+1eb6uezeB0CnFge7p8p/gnB96mO6FVjzuWlmbeLZ1/wb+FCe8zZwbdDfUb73FVNPvbC+a3KeV9p80PcOKO/4X33DKznP+1yZec7B80dZuN9avYPklVIvBND7Tk9V+gHor/7fXqecNTgxcGLgxMCJgRMDJwZODJwYuPd5ugav+gROOWtwYuDEwImBEwMnBk4MnBg4MfD7BdApQVm4y38eOGC1HYxJTcvKvXugOXvvzsFVQIl6XZ0KxSZotgD6s3f5d6kfAQtW5fJ/A9qusTlfsGjDVurp5kdZXh0gnA37zI2uANwU4mB2kB3kZtNOMV7fFObU6Pq4BehTYQ6o97k5zvzp7oHs4Lpc5CA0S3eKWO+M3XtlKdO37bEc6wA5tSo1efdtCFBnvltA3z3W/auv+y+vthS07ODZIC84vqE/hXoxUH+gFaWuuVLLiytA0LMC5nKly2Mufs1f7uL6bX5rDcuh/M6PX9btYDxr5jZpAGsBbzbuE6hPBXr3gmqpz9uw0WaQVOQByG//gWcXsKaEB37ZuP+pb33vOq9OtuqBODnVGwuo61rfGbC+7w54HrhsrMYI4C1oua2y6ydYH9yrVC9AHuBrjp0H0H/oJz/+mS97zes/E0BnK79y1r/rH1723hTg8kcD01TmvY82D/QcgGnf6+YuLqiqm+uC8htEU/HWb+3k7u53p/a9d7mvgVBgtTrNoVh9KJf2ky9euc7FJrU5db/fokp9LCXxyHUOiFOET2W4vlnP9yyN6/tRzLOk53Cwvhd708HaILA3kAC71WNjbiPI3KRwWY7v7xEI7rtYHakU5Fa30aUjyAygr5QBW4leP737lSLgiY+u+AgAB86LneCsTRi+C8UjdwE25t5L82ZLP1Xh9S1nOYt38HzmPgfAa8fhwPwdOQPIbX4LyCd4B9/FsHs2kl3PsMcE+tc6/fArqvdr48rb3n+tV9873yfK80epzwPoE6hPG3ZwfFq6T3je8cp//trvvCB5/fTdrRyAfv5ePP9nODFwYuDEwImBEwMnBk4MnBg4MXDvAPQTBOeH4MTAiYETAycGTgycGDgxcGLgc4uBW4DOPpdVLeBNfcciXKGCZuXdfbl2XZ/Wt9PGXX5ieYwBkeBcAD1IRtm3INjOcUuFDNynWq7foL7x2ZuD5+zVg98sxuU4B9CB64Aw9ThoLf84gD6t2JdqfffHXl3bwHd1wHpqcucB8+o0trpdA6dBdaDdUR52YBk8k9eYjXPt2blXH3hubRa8HGBdTvKlZN+K+9aU/TN43vj1X99ypoN+3W99KxNeiR/jTfBNoV6f9XXZW29FenOlLAUKl+p8w3UgdgG2IPqGcSDnsupOhb+h2tposFWvAbAs8Ls2LeBT+/a5ttXr81IBA+WB9m0rPS3dFyx8/Pn1OTD9z/7lv10APdgYmMz2+ou/4fF1nHbPHUF0IJ3SnOK7fmsTmOu670tjskxfVuNbqd33Z0Hl/R1adWq35xHUC/Clig2Ifstb7y+VfPeae9/BgNwXfsXfWPeDpGy2v/NG6Vz/Ui1cecn3PFi6a9e81ve5TQzDSr84Acmn2ptbBTU4lwrQHtyUC53yu8IJY+Uwf/Azd84Cux/vzTv0OzN/jxrLJh6bMJoLq29A3pxB12XNvteo9e+5PNvcSFLfU+E8x1+28Ns9wnq0dsvFYd/3/WLDzpmhOQLsHbkvTOvy6vUb3lxbl66t97Ut7r1fVuTFhFQClOcB4alAn/CbtT51f32KdVbq3h3r9tneBpPquibPuH+rbpXmNkK47juhvv7ktJ957f0bo/6tw8HMxV6d3kXnHCg4PQTQQfNK3/0AN3De8RaUU40Hv+f1mfu8I6X6oyzcp4odRO94APr5u/j8XXxi4MTAiYETAycGTgycGDgxcGLg3gHoJwjOD8GJgRMDJwZODJwYODFwYuDEwO9OgQ76sCVm4S7XeaBmAnQKc4U6WD5d+a27XgHcJnxjQbwgxs6RnGIVdANfABVKYrmvA9iNmeJ5jbmaGycfAAAgAElEQVRhduB15gQPTge4gfWuBaSpy6nJAfDLvj07830d2NYfVbn6U3kOjlOrT9W5fuZ1gB5kn+rzaelO9c1KvWcJIFGaU6BTldtEwD4fOGcpbSOC9wZMN15rF/jraCMBhT8QKDc7G+jOQXS23MBcIHptYNhW3aA6qCeOPEtwm1rcJoAJ2BcMe+Zn1zGQBcjN/OiVlUP9/ssLTrOHX1B2bxpgE30py/c8F2jcaQYak810sFDu5qk+X5D7Te9Z57UD0CtByOaSsjsrd5Ae5O0Z5FTvGIwDjIOXwW35zJc99lMvrHl1D2iv/oqFrL+3+pzFO/AeMP9L3/TYBUGbb4r0AHrK8673/Us5PhXozUc+cFDUvCcw715HanSgf4HNnSd85j9fvzWlY3j6pYfsw5ci/MkXLxX62kDz5IsXOBUvXAKAa78lfl+Ku2AnpT8463wBz97nhuE2HVBJg9pTqWw+tS+Wpu33pXR+4qPX/K7ft62YtmFgzpHi2qaCvnMT1F+52HcB5OuH4pyNPgeR4uAC4TvVA5BuY4LvkhzzaxPMXnOOINTV4ikoDA537JoNHpwO5po19ysv+ADo3qnYkRudqwCwvtq9/UPXO7NOLPhB8WtTyf6OGqtnnHbwt4Ce40FjGM87Mkfqc5b2lT5fKRea3/6erA0Fb3rP+i6xbU9pLs8523YQHFAPeE8oPi3cb2H7IwH6a79z9aFU7wD083fx+bv4xMCJgRMDJwZODJwYODFwYuDEwL0D0E8QnB+CEwMnBk4MnBg4MXBi4MTAiYHfPUAHfNglA+jgufznHasDzlIVswFXqKTl3VUPSL+UxRu2BAeziab+pAydCkKWvSy667s5BkSpwL/pwZ3FM+BLuT1t3cFuoFq9nk9+8vpb+cI3wJbPXFsgHOimUtdn6nJwfqrKWbvLa94zgOvGDLxStld6vvkMgHJwjCqd+nYpXLfVPXt9gNomAPCs9W++YLV6653/1D9da8ji3WYIKlq51Clzp3X+tIrvPbV5Qc56my3qkwK3fsRLz1NdcK918Dwdg+tU4wvA3v/EZZNdHxTOLLDlpZYjGXitj+7LgQ6gSxkQJJNrunZsquUrZ6vOwrq47XrHAHp50HuPS+37+POf+cVf+qWVX7z5Sn0AWk4VulzKjR+4DAIveJe6t40mD168cpzbeAIA+t7Up75YtQf3vvSbn1xKc0r0v/LG/2VZy3/vE+9dUL3vYBCdAp26Xo5wzhHy0NvYQo1tk0L9yHEOWE5FrzgDgsXobQ7v3kOx1Lu24aACcgKkFP2tfeu1UkfsXNyU2+AomEtVLAanLf2yNn/mFUV/58BzR3XEU3Nb72n/Rvk97R01tljXDmAXi+Zhvs0R3O99guON4T3YKGOjh3cx17/vX98DG238ZlZ3/Y7sua4NN+9+JZe9DRJrs8iOx2VN/o4PLnhOfQ4og9YA91Ty2ywlLq9+3/b+9Xu/4vP7P/hKLvUNwTuvnXP35FOvL6pw/1ZwibCe/m2ZrhG+z9Ty5m/zw4T83qfNKDaDTFjed6rvUZ/lPGfbXvnSr/vuVcDyRynPp/p8AnI27VNpfgvaAfg2vQTojXUA+vm7+PxdfGLgxMCJgRMDJwZODJwYODFwYuDeAegnCM4PwYmBEwMnBk4MnBg4MXBi4MTA7w6gT7gTZAmcVtiuz/znYCVgSaEN1lJLLwX3zrcL7k7VOtUoiFYJ2l4q1K1oXOfB1A17Fgi9/4kL9MrdPZXZzW0purcSfoLw2zzlFQpt1u0LYO/PlO0s36eNu2NtAHSwHRRXrz5cVyjcgXXrXmFrHkBf4H/XBdOBcwWEpuxleW59KHfrl8LVZglgXL76xm8NWL8ryzJ5qN2ry4492MmNIMgttzLw7t7adDHSBfQubX6oTmvZXOoDOPc8fV4QNPX5VqYb39xssKj+AmM7Vi5YvkGaXNRUrADdsm4f1tET4oHncqazAu8+e/DsrgH0D3/yV9dGigBcedFTdwc3V87vbcdN4Q6gdo0N+4KXT9+pidmlBx3rJ/AItFM1Tzvy9TwbcAb1OqaMDZ53dC8gmjKewri+A3QU6OAscMy2H0Cem2DkIKeCrg2nia5f0PnBK5tp/M4AvwDxhO4zl/20/WZxbn2A7suO/akXrnkXB73/xqFIBk3rs75BdCr07oHg8nh7fu38jlGjLyeH/VtKOd937nYd9Lc2s2y1s9jtHrCr7oT0bOOts/l0ne29dTCv4lVKBpsLwG3vs7b9znc/WL7WaQP01hIkLn6orin5WfRfiu+9eQNMn5uiOvbdWWvw+PPLCeHKf74t0cHxC9DveUhNIL/9Atzjnvjo82XRvuvWj++H9dJOGgZzVLf1pYKnRKfIb57NPYDemqQ0l+8cQJ9Qe1qxU4rfKso/m0X7LHKk38J4OdCN1TyM9XWvf+tT3/jNb/iS7/iuN/+h8/fS+Zv5xMCJgRMDJwZODJwYODFwYuDEwImBe7+Ha3AC6gTUiYETAycGTgycGDgxcGLgxMDnFUB/y3te/rmZAx3EDhCxcAeWKc+7TuHMprvC5luZOdLZuk8FKeAUMPI5eAOgA1ZXbuFsu+9/4rL+puIF8APXFMrGpN4OtlJDy+UNUAeJ+0yZHqSmFF9AfivTg+C1AcOD6c6BeG3YtVO2T4A+77kuLzlVNgt3ynngHEQHlZt/QBAgpi637q0ZGG5Dg5zJ8qV7r3LZ61cb7TpOq/5ZnwU8pXzX5T5fudnvv7zaez4KY1bwbOMrzVmcXErzrUTvsw0UvdOlTH78+Qs812/rdFmLjzzr9UdpvmLpiY9edvLNa+UyzjI7VT718Aaj0wo6qEapDp4D1cvCPavpt9/lQAfRA9Ls2FN72yCyIN7TL93lqt9QFHylNraJpO9G59Ic1GdAk+U4R4baBT8rwCClevMP+AX/mmdtep7mlL181+u/vgNuX/CaN1+W3gD2ArUbmlMb23wDfj/+4z99KcnVn7nSxR8lNteH2i83ia2Otgmi9uzSZy7r3mfPIS4ptzuCuea0IGj28Q/uALmNEzbl1K61o+5nTU753H1xS8Uun7YYb00opK8NDXutQHx52j07xbdUAdP6vPW9IPLI9y4malO/M9UFO/m1DttpAhwH41sbz8NKv2df3+N3v7QAejE2ldZiLUgsBUDQuAJeW/OH1OIbSlOZ25hAvW6j1LRGN+76Tm6bdzbxNi1cTgK7D0D8ISX5hv7m4Hs6Ib726jTuyvn+jg9ez+47VOE80f2+77OeXOe3BUDveKtCpygPiE+1uRzot8rzW7g+LeBn/nMK9AnrD0B/9f/2OuWswYmBEwMnBk4MnBg4MXBi4MTAvc/TNXjVJ3DKWYMTAycGTgycGDgxcGLgxMCJgd8vgA7OANzBlOCMPOZgK5BKrQyWg7NB0I5gLsANuFJQA/WUxWDSypk9oBcLd3BfHuwAKjAfuA1ody3IGpBmb14JtLEql5c6SJQyuNJ182e/Ln95gNtzguVg+ATjLNvlQO8eyH5rF3+12+vGht1GhKlgB5YpznvmlUu867stBXrt2Kj3/NS2C4jtjQ02QMhh3nvtmnHlQwbGlw3+hvugdZ8DbtWnbPceleZK5d37qn1jUMdTvIPjrYu4akNAZW6c6Ni7rS6gO+3YjdGz9Ln7lPY95wKRD+5s5MWDuKc0X6rynXsbsDVO1+UpZ+OuHft38Jza/N/82q8ty/bWP7gYbKQ0B9Fr430t9e07P34prUHBqWSmPu9Yn4CgDQnz+0P9vT4/2JsBtipXf4BqOdCrU9/NN5j3x7/yb13wfm1uef4X1v2VI3vbfy/V/+63d0FxHFhsTrVhiz7t9FtXc7YxB0ie+cNtlGl8lvBAdvetp3tst6n3rQfVP+t5mw6mSpkFfNCVtTeF+Rx39b2Bts0/UzEPoK9NLI8//xDEpppnez/t3L1v/U+F/czjDZyvHOrbnn5a4U8L+bneE8gbp2PP3NqA+d23YYM1edCY6lyO7yB6nwHnS9G9LdBZtbM9ry6F97JE35sUHrJ1/8GPXVAa8AavlyJ+ty9m5bO3wWFtfBjQvmvVMzdK9gnEWclPiA/4dw6ON8b6vu15twY9/zwC6KnOb8H5VKErE6T3fQuKT4t2KnN1fb61dK/Ud8pzIN11EP3Lv/bb/90B6Ofvx/N/iBMDJwZODJwYODFwYuDEwImBEwP3DkA/QXB+CE4MnBg4MXBi4MTAiYETAycGfvsAHcwCfW4t14OhU1kOflKVA+UAeUDsUk9vNXL3WXMDvmDp+rwhlDzDLIaBqyBPJWgSkKK0njnAm09gGcQNrIOv1Q8MAt0geefT3n0qzjumbKdwr4+ur00E286dmp2yHEBfUH4ozgHz2tcfoG7NgHn1L7C/5zXzg/dcwHrFGvT8cpD33MFieefXBoT3fXLVk3Ocurf6rPnlSKbIZxMN3lN1U5P3GSBdkHADfOpxoF7O9Naqc3nr50aM5n/BtK0Gbw6ehXW/DRo2YbC9Xs/5vk/eQfet5m4ubNsXlN/QvuMC/BsqLvD59g+ta2C2HNkdA3XLrvotH3goV7OcyyBj69B5yvMgeo4KleBXqt5Ae8/Yeq+23/O+yw0A8O7eUkNvK24K+MqC2Q9evI59T5o3sAsGA9MAuA0xM1855wC513snfUeaewAvBXowMUV547TxJIDe3DhHsG8HTXs3U0kMzFJXU5OvduO5ffdt4KEy9tvS3FhvXzm6n/joZX9/qcCHa0VHimx5zMF1KvT1W7LheuAcXPZ7A8pbU9Ccgpvae4JwynbuBbXv2Wa+9jXHrYY3n7lhiDU/yA+eLxX9tnNnld9xOT7sZwaxPWvHmftdn57VOhq/tbjs6TeIZtcOll850LeNOVX8ssXffbI6l9+8utMyffbfO+gcEFefs0PjUooH9anLbWhpDs1/WdzvTRHeI+Buw8q0awfQV9/7WTg/sGnv2W1UWUr6N71nQXJW9n/pmx5bRwB9KtHBc+fgeedgeZ8nMO94m+P8UXnQ57X6+LNf88YF0v/cV3/bBc/dPwD9/E18/iY+MXBi4MTAiYETAycGTgycGDgxcO8o0E8QnB+CEwMnBk4MnBg4MXBi4MTAiYHfPAbKgRpA/5GP/NxHA+hUlKy5gzJTWb7yYD/36Qu4XbB6q7ZBrmkTvqDphuTU0fKhs/cG0agj2VBTVlZAkYCIXL+Us5TI5mNcqmzwnFpWHvfgdDCQGnzC80B5IBvUVocCHORewPe5X3lIMa4v8L3xtG8OzuX7lk99qtm71vyW+nxYqq+NDc/9ygWy14aFrUIH16dlPpv3pbjdUJuCHEwPdgXOuAawz27e3h/gTiUMelNJ1xcnAMp0ec2XNX2547d9+rSAX3mY99zkVq8fUHJt0sgWfD9P77E+KnKd2wAgDrxril1Qlc325X5QbDz90qUcp+5lPd0YX/nWjyyYTq1cfXCPkjyoVr8LHG7QBtCV+zyAvtTcjz27cowHpt/0zueuDQwswKnl5/q1PsW9nN/U8t1j5a6AlgsWblV+/ch1zdmhd9i5e+YQ2M/Cvefte9G8U7N+ydd/37WRpeetXc8DYoPfbOer22aB5r2UvhteUzqDuVTrLOfB/Muef8Nz9udgMYXz2rix1d5U8KC6/oDg+r1A8gbRYhf0b91s2uE+QL1MPW3jARBtbMAbsLexonvLWvyZOyv+2stDbsPHVGoDvvVT3ZXffoPvC6LL/f3k3kCxN0aY14qFDXrNg4KeIl+cL8j8zJ0LAktzrh82Kq05jDQALMspsCugc7HPQn19F7YbQ89A9W0jRWOyZxe73BTA+Amtp6KcKn61H7bs1O3LRv6pF66UCZ0356VEf+zZK6/5VKB3n21/ZVq467vrXauPr3/TD68CoFf+6297cgFrsLwSuO4ImFOjTwU6wB00v1WY3wJ0CvXbor++s5ToU4H+337L9/5a5SjQz9/G52/jEwMnBk4MnBg4MXBi4MTAiYETA/eOAv0EwfkhODFwYuDEwImBEwMnBk4MnBj4rRXoE6AHmwCnIFkq2CATmD4V6Cy4KbBdZ9PNyh0gpRieudHBXYrTBTofvKKWBtEBncqVg3mDJnCJ+pOCFTwGgKnjA4gV1u1ylAPoAHXPQBUdCKX8nqrv6lYA9Y7B95njnIqcupzlObU4pTube7nGJ+BvLOsFuIP51njCbmCdSr9rIPmyCs82mgNA0G7njG8uYKic4RTn3ktrx03A+7b2Xa9dcdM7ak4BdKrvjhwBtAHyK90D+rkQdPQ8S139zJ2i/ILjG+QD5ezgwcmOQXJQ3aaK2q981W//0B0of/zFBc31y5YdrG8egbquB9ynlTtFr9zIFOpBaMA8QJ1aPDv3js3bd4zTQ++JmpgCvULRHGwEvCecnhbkFMDylve+KMAp4QOJzaP7lOXB81/8pV9acLB5dT+Y90Vf9YbL1nz2UZ82pLBWp8ym5l522D/4scsKX/7zBZLf+fHLVry+e661MeDJuzWfzzyBue93fVKFrxh55u5eY1CSU2TX1tpQk7N7bw5Z4dtk0NrYCMDKnYodLBcj5sPynCJ+xWGg/MkXVx/WA8imei8GKMyp2EHvNb9tI999tuuNZTNF82YFTzGuHy4OgDP7eLCeuhxor1DC12/vrrkvWL5TEix4vPN+V77h+967ynJe2NcC2wugB533ZhOwPih9qcg3dJ/AXI5zmwR8l6YSvjHkWa+PmZ++fhp/bVZ453Of+fYfePYhgA78s2u/FOZDWT4t4vssJ3rPGSSvbeeB846eGzxPlQ6Qp0oPnnec0LwCqn82UE6FPtXlU60+wfusEzyfAP0o0M/fwefv4BMDJwZODJwYODFwYuDEwImBEwP3/gOtwQm2E2wnBk4MnBg4MXBi4MTAiYETA5+XAB1MC46xcQbPg3nAc+egN9X5hOuV6smlrQDDIDpVMeh9Kdu3KhUsCpQERII5gR25m6dyk0oV9F0W4UP5TqHNUr7zwHSfqXCD0mzLg+BLib7b2jAw851Tok/gfgvQ5Vtfa/uR/+OC3uo3tjUxLkheaY5ysrOln7nQbUSg+AfW2ZbPNQgas3IH0G1uoH6mMKdEpwa/IHZrsS3payNfORt1ucar39zlr2aXPt8HGE+NzPWgo3mKv/oRW/oGnNm3p6zvGHxtHizci5VAeJC8c5sJgNhl7f74i2tNqlM/faZ2BzzB0eAm+/b6D6RX/y+94V2XjXSQPfjGwr3vUrbnwbjAXkfP3/fpUp8/9+lr08qC6/u7uNT8T98pwNl3g8DTApsyOgjI6tz3l9Kbsri++743r86/94n3fubH/sFPL+jYteb9V1/7nUuBzhq7WAD767c5UPeDyAuKbyU10EutTuHdtWJgvaedb35aok/bc+tvk4y++tx4Sz2f48RuC656/mktr4585JTVflds0nkIQm9VPwX++u3ZGxbA+s4BbtbjS3m+57lU+XtDhE1CYDVoTuW/1u7pu988+dYBYvnSra217H1Q+VcXZAfsrW/9a+N5PDPXBCCa9Xp99TkITQUePK602YJqW550OcbBbyr0W3hdf9VfUHrnHb/ykO96M2d685jXwfZpDc9O/lZNTkke6FaHUh3Ap2K/5tn5Y89efVSn73jXe/ZAeQp0GwnYtgPo07qd6hw0vwXgzqf6vPNyonec9ScsnwCdwt14cqBPOH8s3F/9v7tOOWtwYuDEwImBEwMnBk4MnBg4MXDv83gNXvUJnHLW4MTAiYETAycGTgycGDgxcGLg9wOgU7uydgb3AHHnYDRwLr85MMr6W15uVurV7x5wCEoD8UDoVKNTtgLo4F9QiF03tXHF2PK2zzkB4ZdV+34OQJ9FOlV3sDygDWprHzyWf5wVO2X5hOT6ZolPST7hN/W+nOr1pe4E9cvKfbQNSgPZ85lqM/OkB8ootOWZB9soyasLiNooIVc2yEm1Xn3PBkQD8jOXdf0EYedGCfm7rYnx5DdnK77G2lC+OsC8vOZgc/cuUL6frQJ+r2Ow8/4n1nml2Klt8wBd2Z3XL5i+wPmG/izjL8X6Vr3avEGp3nHBvoD9Yy+ssQD0tVHix396xfEXf8Pjq45UAm2w6Lx31GfuCK1F61PMsxqvTgCPIppl+IKF25q7Z2JPDWBTjQO+XW8+qc4pl4OF3/LW+wtsNqdgOoAuXzSbcs4B8nkD66y5fU9tbLk2u2ybcPnJKcjlqAaF2acvaLrV/ROeA+Fs1+tLmoeus+guFmtPxc1SHUyu3UwNYW4zj7h6UxUNPNuIAHxbJ+Ov38a9icER0Pee5CAH/aWn8CzNX7zVd9fdqz+OIa3zlTt99y8XuDjP+eCya3/qhQWCrX2xSylePHc+1dtyhLNqr0wgvT4P5fm0Ye9cH/O48pfvvlisNyYQ31zmefPtfsAa1AbuQXJlKs4p3ynJza3xzH/C9p4rsD/n7VoFQJ8FIE9tXqFA/9Kv++6Vl3wC7qk8B9Bv7dsB9N8s57nzqWwPnDuqs3K1Hwv387fz+dv5xMCJgRMDJwZODJwYODFwYuDEwBsPQD9BcH4ITgycGDgxcGLgxMCJgRMDJwZ+RwCd+hVIBdJBVcphkJsqeaqgQfVp4Q5WAz1g9VJUjz4pnasjZ3Nl5kO/bL83wKNEpRJ2nbKa9Tl7cxAcOA9WA9nTyj0YHdD+759+Rf1MqU59finSN1zv88oDvvugeO9zEFyOdBC8eQHlLNdvc66zNQft16aA5z696tSf+VCqm3v3W8vW9MqXvteaNTqYDBYv+P1Td++WCr1jdcwXUG/M+pJvmrW+DRjU0/K1y5HtXdQmUBw0bvwVX899+lKk11bMsZWnJqeyB7jllF5W81tJ3nXQGRgXI2zC+8yOm5o++K1+91p3EJ2ymMq8EmhsvKBhCtWugaL/7F/+21UC1YH0IHVqZ8/Hpp+Ve7bpfaY6Z+Ue5GwtAFJwmToaFJXHnTJb3u9g+VSbN+fgYbbyQUxq3kCheVQCeH/8K//WBeMpr0H0+qYcb76AfaCWypk6vT7A2j63Tiv39chBDoz3XpofmA6GN9fmb6NGheK8uuYmV/yy73/sFQt2MJ0Sv/46753YdDAh+nTAoHo2b7b4NiCwFBcjfpNs/gHM2c2D7vJ/U5ZTuBszeDzV1/XDBp09PJDe/fWs25qcTbn5WaOudU5pPaG/39Pq9B6puW8t0FmZVx7KF77BNvgcHA9yX0C6HOQbRutH7PUeZj+1qzQXivIJtC9oP64bm5q8dyxvuz4mYHduo4D25tc1lu0U5vKfV7pWCZ53r/OZlzyADq537vNtDvMJ0OfnqTafMF0d14DzaRUPxFcOQD9/F5+/i08MnBg4MXBi4MTAiYETAycGTgzcOwD9BMH5ITgxcGLgxMCJgRMDJwZODJwY+NwB+lSdL8Vqx2HdPsE5y/VL1b2BObU1IKxN98FY0BxIBbgBU30DiPpgUUwpSpEqRzWFaRAZAG4coDXoShEPpMsR7VmoyNf89xy1BcIB75TpFN9TyU4ZDphrExCvaLsU07sP/VuPmWP9dX//Fz/zTQ/u1tXc6pdq3hwC5jYDzFJ/4Pvq89m7d9uzN0850KvXZgHW7HLZs1BvHVjccw8AztnmW8/qNgb1u3OOA2A1i/apTF926iPfOiW7dWmuzbM6NmKwLzfvBds3VO9+bdhvLzv0bOWffMWmvbZdl7OZqrz7AU5AHpCt3sqbvgF695ZddWracjbf/8SCdcHzVOiVnuPvvvv5BdKD2UFz4Lzic6X4LvYD3JTyxfoEp1IagKoArxzcnBpYrAdk5T+X35nymkq3/pobgP51r3vTr5cDfVl6b9DNRtx6U5N7B/W3cpDv7yh4Oy3Rg5us51vfpTAeKRlsBPCd751SXbNYlzecwvpSvW8I3di9n/nbQMld/La+QHLrPPOGA95zrZYa/O0fWn3qn6LdhonuU3F3Lbg785JbH5sNOgf2i2VrAl53/0u/+cmr7yu/+o0jwEp98MzdO6D0r86yJR9QX153fU1L9OlaMNXgfa49u3ZzXND8sWfv8rQPlToAvdq844MrNzgQHsimBm/MIHXXQWqleiD5bAe+d2+2NXbfv9leXFO5G3vmagfrKdvnJoD5PKD6rfI8YC7HORt3Vu1TcT4t3ScEv1WTTwU6QP4oy/fKa//23/n1qUIPohtv2sIfgH7+Jj5/E58YODFwYuDEwImBEwMnBk4MnBi4dyzcTxCcH4ITAycGTgycGDgxcGLgxMCJgd9eDATPX/oHL3xRAP3+xz71L4A8CvQJ96YaWQ5kwLgy1ejU5hOus2+vrrzcQcYKIK+w9wbdZx5sqtYF8p55Jfd2/QTKgNsJxwOvADFAHVAG8oPE8q9fAP3mOdZ8NgiXK51t+4TKgC7IDY5Tt1OlB86NBarLcV5fQX627sHzirlSp1PUy+3ues/iPc1+F7B/8I8vy/aus2n3rOD0yo3+4JWj9lTqlP6s02fecmr3lct6W8azrgbh5TIPVooLsdf4r/2RV8D7sr7f86vvxun9LVv6YOeP/fxl+W8DA1jafU4H63meubNw75zFf89QneKHqpxNNyt4CvTqyOvM5hqoDYKmQJcnufkEzoPoQfOANNv0IGZAvRLI7XrQeW0W+NE7AB1gbL6BVKBYXuoFSp96YbVl6Q0kA8/ArXbg51Js1/bBi+vY58Dgu378I8u2PcjfPJpnAP2P/MVvvBT3gVNQu/P5fVwA9skXL3U1JXiFyvqa41Z6y+3Nnlzuc84AoK5xZv7vSm3kXGf7DsJzonBufpcl/rZjZ4veWlKId693Qplv084ac8P9xvVMD20QaAPA3iBgTAp4qQBA+o7s1hsfCO69rHXcFuccA+qjZ+pzddsQQbVf7C+l+s5Tbh2m5XxjBIlt9ggkg+2g+ATsfWZzXruZMxxQB7BZn9dvam3nlOf1Xx8zb7r84eB17ap/9f3Ys7RUCxoAACAASURBVKtt16d6vfkD613X3jOB51O9Xts3PvGwTTz1OjV9dbyDb/+BZ6/xguLm1nmQOmgOoIPjHcFz16jOqcK7NqH3Z7Nnn+ry38y+/VbtXqFGn1bwR4F+/jY+fxufGDgxcGLgxMCJgRMDJwZODJwYuHcU6CcIzg/BiYETAycGTgycGDgxcGLgxMBvT33+Qx/+xF8OoE/F+a2V+4TnVOI+BzbBc0AYUFeHwnzmHQ9oBonlUZdDHdyV45pF+JXTfFi3VwJSfQ56UcV2XFbx91++lPGsvus/2AxSB6Cpuhu/84At1X0AvPoLyt8AdEBce/nPU4xXJ3tucFg+9Y5dM/a0b2frTokuF3afg8rNmcLcunsHU3Eu57u8761xwHnB7pTve9OBPqbNvfcgHz2IPkF5beQ0X1B92LKLBRbYC3ru3ORdD0g3Fw4DfZ5uBgtuv++T613VV+9ePFENi4/aVqjZvWvjgLCgP9tximG27eoA5KvfDYKDiOzru/8Vb/rAqu9IYSwH+pe/8X2rNHb3qM+VcowH6hbgTLk7VL9Lbf6jLz0ExQN5XVu5qH/47hjgC+Z1DIIHel1vzVde+JELnaKYrTdgChbKIx0w/N4n7iAiu/cAXBbuPVPPs3K771zboLBc4RThlNrLAv2Zn7mU8Lcq5wVtu77bel/yj/ceuwacFwvA8G3p+9l6zrksuP30Swu29r5B/H5XWje26MuJYL9vKnepI6i4u8YCHJBeqQA2ePZ8NjCIC/nfuRp0TWqBxmueVOLag9cs+bVdgHqPbS2La9+z5tj8KdRtsmDRzm3gUp6Xq/x73ncB/+KgtmzXbQKYdujF7tp4sMF3sVJfb3rnc1dcdo/Ce9qwg/DVoewOSKvfvdTqXVt9B+V3/5ed+v7c/FLma9t186Fiv81r3nhLKf/Ys9d3YoJ9IB9sB88rU22uBKgnQFeC158Nns8ywTfQPWH5BOi38PxRAL1xKdBn/nMA/W+++en/O4j+da9/61Pf+M1v+JLv+K43/6Hzd9L5W/nEwImBEwMnBk4MnBg4MXBi4MTAiYF7v4drcALqBNSJgRMDJwZODJwYODFwYuDEwOcNQH/vx372WyZADy6B3xOWK5TDt3brXZczHUQFW+WvVq86YDNQHvykpp6gXc5utuILGO081ytf9bbZ7hw47DiV0wD3VD93jdobDKec7l7Pclmy77mwcHc9GF0bcD279YC4/ODge9C7oyInuDL7ZOUOhqdi7xiUl/ccbGcTb43YtXs+4Nn7oMJfNthbMQ+ad6/1YOEfPAS9wfHW3LsB4INyoPeC8fdfXs9NES4+KuzPQVeqb7DeZoPa2AjRtUAjCC8GO0+lbt7g9y0YX9By50Fn4b7mseOmduJoxcsG0Cu3+I/9/KUgrk/K46zb9e1aY6Q8p05fNu5PfPQzH/7kry7lefA8RXcK2KW+3UCzOQWnWWYHsYN8S/26AWIl6LgUwE/cQUxQku06K/eZqxxUl996KZt/+KULboKXQGL5nAP8Xau/fhMCcCnQgdvWqOcFbddaPX0Hclu73heLdyp/tuqXzfwGzOzxqf67zjWAPfwab6ve5e+WHxw8n2DesT5Yt9ePd8XavvimzqdgpyAPMvfs+qvuZT3/tvdfMbWU9QNOs28HpwF8UJ/S3PyNqQ/Pf9mrb6V611iwK/O5QXSbLKy1zRLGFAs+dwTKKe3NRVoAsVF9kJnSvJgMIFNrFz9dU4LhYq3zeQ+YnlC98/qbkB1o9xmk75winHq88Sf4ltvcWGzgAfgrV/pWwnsmGwX6bN7NKyjOqh00D1KD5cB4wBwYB7KdT5g+IfjMd64Evbs285/P3OaPUqkbR//6OBbur/7fXKecNTgxcGLgxMCJgRMDJwZODJwYuPcHYA1e9QmcctbgxMCJgRMDJwZODJwYODFwYuD3AqBn3x5Af8t7Xv45AD2VJ+vsmRscXAfNQfQgaNem1TswnNI4SBYgnTC8ekCs/qme5SYHzcFtamiKaRAdHA2EUiQHnliVB0fB3gmaO29+E5pTxoPQPd+E4eC2fOKpyKnHwWgbA5bS+yd+eUHurPD//su/8lB+9MvefqjYAfCu1UZf0/o9YE693mfQvfPqNLdpQW9uE2gvuCnX+l57+b1758XAsrh++i5XtDzylNjastvuc3UCbp1XD6jvev01rrzV1XEPNKemX8B8b1aYQJ/9tXUWD2AriN77ZxtP1QyeBz5ttFgq4PufWBB+wfSdh5o9dnUpn6dlt7birLpyXadKr7DHrn3W7cHzIHrnQfTOA3m1CwpPyDdzQfc5KFjpnBX2LYRc4HTnoAYG5XReObaHPXelc31RPq9c0o89u5TZYH4K9BTpf/jPfPV6rrk5RZ82rbAQXxsids5131OW6BTgbNu9O+rtQPVyJdife2/gdWtZTMolzkUAxAfezWtZyO+YFSc2EtR38VE9ELtrxSn1e+Mu5fzjz1/2+AD6fOeAM1jOlaAY6Nz3zqaM9bx73eqXEn/1tYH57UaAlSP+B+/q2rhgTjYRLHv2B6+4DhQP7NfB+vVen/jgumejAIg8Ldg7Uq7b7DHt18UeiEyd7Tp4XoyBz9Wl5KY2nzEPfE/1+ATf+gbK51iAe2OyXwfkQfe1xlupXjE38H1CeeMoM985lXn1JkCfOdAB9u5Rg1OGzzKV5IHuW3U5+A2cu//ZbN/B9QnQy5F+APr5e/H8n+HEwImBEwMnBk4MnBg4MXBi4MTAvQPQTxCcH4ITAycGTgycGDgxcGLgxMCJgd89QA9iAeLUw9Tj7NEDvBVAHeisyIcNdgK1lMZstgFlgJ1dOOBrrGkdT4l+qaY38Jr27hSl0+69+xegHvm0wd+Zo5zC2TgTklOPpwgH0uUwB7up1yutEQV6n6nS5T4H5mee8gB5fdQOLKcqN0/jsJV3Tz7wrmvTuY0MFN7eS300biC5sWwgaE07rzinAu9zY4LhoGrzZZUtJloz4N3ziwGbKYJ5zbn5W7sJyeuj+af8rh+5y0Fa8+8ewL+A5a7bfJfKOZv1x1+8Nl5YE/CShbjc5iy8WbbLg16/fWbJDdauvOjbxl3u6eC5/OflF8+OvfMAXvC85wULF3QdQG/aUgfmQL9KSvFphT1zSjfnroHDS3m/LeOB9KWWT328VenyQVMt17bYDcAF0KtP5d/7qC1lvo0Fvnvyjq+NDRumLzC+wfCy9+/7uy3Oqcz7DbKBp/ZTLd7c2O+DzJ1XPxAsD31zsjHBhhu28ivP+tvev+6tPN+B6eD3VoYD6Mt94N13dvk2GFD0U27Xl7XqvHe3UkTsDQvFB5U6O/0F4APuG5QD6Fcu7g2q1bu1g6ciB79ZtK/NBw9efEgpn4PAShGwN1b0zJwKZp51EFrciadibkH07Wogr3gQmXNB54HjCcrVm9bsU3kulzgHBYpv+cZvVepg+Rx39knBbpOJPtea7rqs36fduw0pU+EO6htv2dW/9f46D0bbCNA5G/fANWiu/NmvuQPYMyd5Rf5zavVH2bVr5/OtjfujAPpnU6F3bQL0Ph8L9/M38vkb+cTAiYETAycGTgycGDgxcGLgxMC9o0A/QXB+CE4MnBg4MXBi4MTAiYETAycGPnsMlP8UQL//sU/9i2nhLgc6cB4clQ/dtfk52NlnebcnnL4g9IDPnQfUgGQq5+otO/Stig5K1t54lO99ZuEezAyEAsML9O6c6PUnF3ZQj6U8GExdToVeaf6BQ+pzqmj5uVfO8q3IDqAHbutjQnR5zlmud96zdj2bd8pwwLs2XZ+KcKCdIl39C6KP9ZwQfuailxOcApddeqCNjb61tY7e58yN3nyMNV0AvKPWFzCXg5ujQHOg2LY5gZK4+9U1T4WtvDz38sqXBz643VzNG9QGvuUv71rgsTgJKtaPuq3TsroOxAZct4U7dXD9U51fz/PglbGDpRTZFL7dd50leWBwAvTyRAcw/+67n1+Qblnpv/sOxFK9U8Gyag9iTkVuEDdwV19BR6AUEAVdqZfrc9mC/+DHLnU6ECu/e/NorZpLc6sOmB1AZOFeXzbHVPoMmq984E++eMFvqvP67B3Y8NA1Lgi9PxtdqMHBbrFROzb6lN9U5hOMs8PvHXVuc0LHlPTF/Hqe7VhhvrMvYFyu8Klm79g8AWpgH3BvLUDzqUDvSLl/jffOjz8E1HsvC/63WWMr2lf7bQnP0YA1vNitfc8HlF+q9KdeWDnsbaTgOhA4LmZ8Bp9BZoVTAfhuI8FUjYPh1NgTOgPoilzn6gTdb9vMVAWs2TtyYACvZ5uper9Vqjfnxm3dKMonmKdON8fZz4T9jdH4gPm0bw9Uy4UOjAfKqcsnPHc9uP4ogP4oBXrQOwB+C9BnoT6f9er7y17z+svCXZ3g+QHo5+/i83fxiYETAycGTgycGDgxcGLgxMCJgXsHoJ8gOD8EJwZODJwYODFwYuDEwImBEwOfG0APaAFNcplTfFOXs2mfOdGBaSr0AGhq5m968HOXpfdSlm9VtH6A6oBa1ymkgVb28AB99eRBpyqndu0Iml+K9vd98lKBUsKC1yC6HOeU1503L9bilWzTp4LcHLNoD+rWD2U4kB0Q7z6gXv1geufq16+877MtWD1heW0rMz862/krV/sG6LUB+rve+1yQ8p0f/w32+1231ktBuyH52kTxU3dK7zYKGBdQt86tb+26D5wGC9tYQMlPDT4t9L1vdu9iR7qA7oPzAGwxVT9dyxJ/QdqtBu+YQh08Z3sNjC9Xgg1lWf27F5AE52sLZrMJF2vaVJfaHKRfub3f+fGlPgfSg3HB8/KgBzRbzyBhau7gZJC266nS2Z53vfbVoxauHpgOsAe2g+zVyRaeVTWVdc8AvlIrq9NYwH+xvhT6j794l6v9f//pNU5z7V5APQV6ILK+uA30zijQ5TmfanObDsBwNubA/mXzvuv3u+M6wK2Pnqn595lVef1QtetnOVRsi3OOFTb29DzNBcSu//q6rNK3shwYB6Q7ciK4LOKffPGyTbe2UgCA3VwN2NVzPWiclf99w/llm/79dwWsv6zht0K+PlJWd13ud/nJpQAQJzYPTEW5zRLs0qedPwU2pXlxJwf6dDiYcBmMDjwHmNm1A9EAM3V6ABpsntCdil2fILq848C5OoD2BOhs1s1n5lWfQP02n3mltWhda3drOd/n5t8RxDf3jnKTg+Gs3ac9+1SlTwt3FusTjP9WFu63du1A+W3+9Fsb9wnQu38A+vm7+PxdfGLgxMCJgRMDJwZODJwYODFwYuDeAegnCM4PwYmBEwMnBk4MnBg4MXBi4MTAb8/CfQJ08BzEBLHB8nnPkc06FXgQlKU2dfe0c6doZ//OohyMo/iWy7r6zQt0BdhWzvIN4iiJgX3W7Sze5eAGv4OxFZ9X3Qd3imlKfCruCahZooPUtZEj/cptvm3VK+B5dZ79J/96QfPWAJBvDtTwPc/MtT5V561J7acd/ATz3Qfjg8sU9CA8e/yeo889b2tbW++s9uZDpU6xzw2gepTBNjBQotss0ZpPRXlzCEz37masdM55wLyaS3Nqrt5JABG4p2SmXF9QNEXvMz972bAXd6zWl7L3nR+/LOpZarP7lj87gAx4dq/2zcXn+mg+ILt85wFz6myFCj24/c/+5b9dYDoVdLA8INv1IGWAuuuBzwWap7X8/TvLbbmswXNK9KXkfcO71r3U6PI6B0GDgoHcpTxPsbxh/ervh++syTv2nWp8Ku4s5gP+AermVhwF4FKg1+fKTf70S9c7s8GmufrtoGiXRqE1ZNHPlpw9e3WkX+AUIA96c6cGl78bKGcDD17X3/zd4ohQHdfWZpDtxKCfpUjfudabG2Df83cvWN18WK0v5bdc5297/2XzDsSD8RToM+851TpwTkm/Nl5sNfhD+dB3XnWqdGp1c2ncqQ4H0anQp305df9Ums+2FUAeMA8cr7QC3/O+hyB0kHiqwkH0oLJrwDMoPcGzutpWl8p7Kspvc45PFbp6gDnYPi3ebRbQX+e3anPfpalMp3K/heWAffMFrgFzVu0TmE+4Pm3Vb9Xnv5UCfeY3nxC98/qb9uxzHADdvfVcR4F+/iY8/y84MXBi4MTAiYETAycGTgycGDgx8Mbf3zU4C3y+ZCcGTgycGDgxcGLgxMCJgRMDn3cKdOA5qMnC3bWAmSO1eHXYuc981+Ao2AkMd6TyZpe+VKAbjNYPRTj1d8rnK1f6noMxWbuzZ2fV3vXqg+wVc6VMB7Qv1feG+91nQ08lf+Ua33nZzaVjsLt2FNoBYHA7BTrVtvzp3QsOa1u7a4PBhvMzT7rrYH3zCGqC4pfSfFvFg+pcAFivs93Wv7zn1Vu269tqvSPQLJ84gA6aA9DeaXU4DCzF/1aIU5DXP1W7cZsrgOudUv03B04Dnl9ec/NgTV6/QW+28ktdvNXlMyd5ivHKX/mf7yBtYyxr7Xd+/Kqz8oTXfiuJu7dAaSr2x164xu0YNO/aVKFfOdb3sTpB2wB6Nu69t2B1JUgd6LTRIdArPinu18aADVuDd6nNl2r2sWcviBh0SyH+rh//yCpvfNvfu5TSzbtnXbnKH39+jRdEDAgvFfez/3iteVAfJK6virk11yy/U6AvCLs3QDQ3mxfksO99A9CU5yulwobVK77u3+WY73pHAL66rf+0d7cppnvyjHvP1e1cjvf66L5NH81RHb9hqbK5awDnAVQ27LUH/QF6Sv7Ww7pSqTc/AN38AHb55eVJX+r/DcFZxQPiIDqAfl3rHe5zqnEwHWinJF/Xh/26NjOneecd2ZoD8Et9vjdZVIfl+lKtv/X+guDFWnEAaFNpF4dgdWC5e+A3OP4lX/99n/mC17x5nYPRU6E+4bi+weqp+tZn8wG2ay/n+cyv3hxsSvDs7OGv53vs2StvOnX6LbRX5D+vBMqpvLs37dkpz4FsanN27xOg31q4t9YThHc+1eMTnGszFegToN8q0Cn/AfTXfOubv+Mbv/kNX9LfAK/23yGnnDU4MXBi4MTAiYETAycGTgycGDgx8NWfV2vwqk/glLMGJwZODJwYODFwYuDEwImBEwO/1wp0oAl0lt8cuGbvzv4b5ASylalC7x6IJa+2fOegNXU5NTvF98yNHlgFweVYZ+VOyZoq+FKi33959QfGmu+CexvsA75TFU8JL8861XmgunP31Q1WB8Er2bVTnnfsWnm7qdM7NncK8p6LMp/6+8qxvsdMrU5hDsLP/OkT1k/w7np93m5ksDkB0AfIrQMoHkAOcrJYX8rdcs7vYwWUV491+1Ss6887bvzaLJC787ezze899f7ETPOsLaAfBG9eveuemX3/gt0b9oPcnkFe9OYV1AbEp4o86/fazHzhM696x9r2TNo7AvFrnJTtu35QPdAaQKdCD6Rnt55NelBWXIHNrU+gd31ftj24HNZgJUgZNKufX/ylX/rMv/m1X1vHFOTLCn3bhNeW+ngpk59+aUF9m0MC5CB6x0BqQJIyPdAPoAdim1tr3vvzfWyucnK3hpTa1W0MMLjPvVeW5nKnA9ZSLQDqbOF9twH3ZYP+9Eurn+qyYwe3pR9Y93Ys1d/KFf7DL605s2ufCvfWB9y2eaExWkfW8/LEL2D9g3cW+PW7lOJPvnitPQt3Nu9gee+x+rVbcTbU3+B5Zdm5t5EjhfS2gu847d9tAJjKcSA9YDxt2lf+9G3LXkwsO/g3vWfNg+X5spLf59XvMytzVunF3ATf3WOfzvK8OA1SB86/dIPlzif0npAamNY3MD/vsYLXTh2Kc3PgwmBTwFLlP/bsI9Xonk+7OZ65VjzDhNbmDlZXRz3XAPSus6+fCvWKPijQb4H5VKA/yrp9tp1wHUB3r7HZtx+Afv52PP9/ODFwYuDEwImBEwMnBk4MnBg4MXDvAPQTBOeH4MTAiYETAycGTgycGDgxcGLgtwfQ3/Kel3+OGjiQxy4d+AaUqTflFQ7IUqQHywJZE5ZTQYPFzn0G3UFVQJkK3RhU6FPxDrZR7i7L7g3x2ItTw3Yd7Gc1XhtAHXxdytcNk6m3p6p+zt09sLwS6KUCX/B6Q/Vgb9eoxzvKmQ4Ue15rIec50M0u3pjqyMXeNZbuADqILv94z8zSekJ2zzufU37ynrX2LLttPqAkBisDVpTD1atf9vzaByYB/mW//+DOEaC5e7fLkv/BK+4GrWlr+00Pfm7Np/ccDF8bFLbieVme7/6DggB+dQF3YJtKXL7yAHp15U7vHoX7dW23nXWozlfO67d8YLWpL3mwOwY5g+ZKED2FdznPa18cVHofFOEB7s4D2NXreQBCEC4AGgwNmivB9FTo1MxyWK+86E+9cOX0rv8gbtCcrbx894HEPgeUA/0B9O994r2f+cKv+Burn7Vh5cHPrI0dzdnvwoqRnR8crC6OWbmD3Ta7tD4ztzk79o49Ozv72tRWXvXGksMcfKcG7z57dZbywHb92aQAvnfsMyv3zivNfeUQ34rxxpnW6M13Qe2tXm/ecqWrU9sVR1txDooDuyB7hR279wZ2r/jbQLz1ql7vvTrgOfC96mzofatCl9O8uuAyNXowmaU5W3fK7akynxB9qs1dV3cqxKsTPJ65wbsGRgPUQHLtu+4cjJ9K8JkPndJ9Wfv/wLNrbcByyvPWgcK8c4p85zalzFzrE+B3BL/NeQJyUB0o/7Nfc6cwp/6edu5yolenuj3fbR5zOc8fle98gnH9dU6tfmvhbo6v/dt/59cfsot/3ff9wlGgn7+Nz9/GJwZODJwYODFwYuDEwImBEwMnBu4dBfoJgvNDcGLgxMCJgRMDJwZODJwYODHwuQF0MM05pTdrZOp0imHQdSrYKcTl3QacF6Biyf7cpy/b9PqT95u1+rR5B3X1DdwGp4JnxpXf2DhyO3dsLmA/K/Cuy38OpqdynnnJwW0gvWtAemB4WrHPXOj1u+ruZ+lzOcyB7+rIhS6HufOgap97JlB+2s2D5RTqxukaqN6x+11jM88tgHuAfr2H1oHzAAU5gN56gd6de5/Ns/UHq8WEHPa1WZbq28a7dXYfYK1/yv+18WBvjrDpwjtj2b5ym+9c5Apr757B+6dMB8HlRO+8uinP53WAHCQH2htTfvTiY0HOfe3WAn6q23u+wDkFet+ZQGuwr3oB7O533SaU1j4wG8gODFaocwPZX/rNT17QnpqdCr3zAH1QkdKX7Xt50qsfHF4W7jvPOQv3AG8K9ubaHJtLAL1r5UCXF9ymiuLG+7dRhfp7bsbpva/c4Ntaf72//T0F4YFrVvZ+cyjKq29zhe88BfvKLb43d7T+jVXbnpHFO4v4tXmG8n1vuJArvbm0FnMurNap1+vTe2bb3r3Wt7Fao6Xq/v4PXoWSXb7tK0f6VqnLRX5ZtKdK35Dd+OB4cbNy0dfHBsVgevCa6rz5BIgBd5spgtugOhjO/hxEnznPWZ7LZc72vHgEmqUTmDnKJzBXqM+7Xvvqq+ez/m5t3W9zqM8c6D2HZ6UuB8knQLcJZT5bY4D/twp4YL8CTt/mOAelbwG6axNkz7bguQ0DE6BPZfm0a58QHTyfAB14N542s23q8wPQz9/E52/iEwMnBk4MnBg4MXBi4MTAiYETA/eOAv0EwfkhODFwYuDEwImBEwMnBk4MnBj4nSvQ5QHv2rRsBrfYN7Ne9zkwRRnOsl0ObgAVhKYEB7YpsIPQ4ClYB9SD6oA+JXkQMLhHGV0BbuVKr0x7+OqD4vXTMXVzkJQ6elrJqwuWT9jfteoGqqdFfdcA4wm3g+SuVRbA25C9z82HBbv1MrYxWbdPNTk4T8le3Zl7fr6j1tkzrU0DG4K2vvLJA+sd5UXvM4DeWLXp2oKbD37mIeA/FfATiFOhd5/tfv1oI3ao4yugee+YapwyPEjJ7ru2zaf3D3jWP6v54PaVs/zxF+8U5NvynU177bgaNC+22l1rLrUBQinUVwqBMSaATn0esF6K4K0qLgY+/MlfvTajzO8fVTPAFzwPGEqlkDo92B04r/z7/+ffX+cB9b93/0cX0AumBeHLoV4bau/OWbhTUQffg/CBx8YIoKdqz8I9MMlSvTUKHveeqcXFhFzkVOh97n14T60RgE51X3v92DzBbQHIpkhfCvef+PkLgrN2B9qLF2BdTvTO5UxvfdnIU7wvG/mnXlgA3YabPlOTd/8C2intA/VPvbDeozzoxRNrcHB82rNXnwLdPfntpwX7hOTTVp0qvPzq9fU/vesfXsCYkny1eezZlU9bjLEy1777U40dHAfaWaUDzGzSweYgbX2D3cFgUHvmNWdzDpjLbe7ahO7agcD6ArdB9WkRr9yq59nX39rZ366h79TMnX4L7CdEn+ruaek+4fg8UoF/2Wte/5Bi3fVbC/gJwR+lQAfVH1Vuc6DfFgr0nufLv/bb/90B6Ofv4vN38YmBEwMnBk4MnBg4MXBi4MTAiYF7B6CfIDg/BCcGTgycGDgxcGLgxMCJgRMDnztAl6uaKnZCcspl+cGpjSlJ2aSD5doBg0B7cEx9au9gG2tz8BdIrR2Ld31Qj7KVZg9NTR4I85kSGSCdubkbe+XSvv+JdU++bdB6WaRviB2cXnnANxAG1wH0mXMcEJevnFLcM8iDDuhXpn07uE5xDixfVvjlRN+Fmh2wl1sbbGfTTtXfM5irjQiB/6XaLm/0fgb26K1jddba7rVgB984taUCZsMvv7pxbEAA0Osvdfw15t5YUf1L5fyTn7rLL783WlCTixnvtPqXmnzb+C9FfHbf296dypyFd3VbB+3AdfnPbQoorlb9nfd8KfI3WKVCD8g3ps+Ux8G7IDeIHrTmLlAfbZbocyA79XKgNveHYHZgluL3z331ty2ITSFO1Q6aT3g+S/W/8mtfd9lvB14DxvUf1OU2EYxtPo0VRA84do3lfPA+gAla917A6QWX9yaDacve70efO7eZgOX+sunf1POhKwAAIABJREFU0Fz8UYyzYLfxZdmybyv2dW9YwXOd8F4bu3fGWr85sm2vfuc9e/33nijUbViQjz34fynCe6cboi/w/fYPXUDcs7J1B2nlGRcnV57ynYe8Y5Bd3a6B2EFhFv1TBc7evfdgw0P3weOpNp927NTsy+79sWevDRwd6/uLv+HxS8nt2GaLYqH+A69U3l1jfU5ZDgaD3M5B21uQPvOf11/gF0wHiyfEnvbtE743V+r4nqNNAQC5TQmgOhU6u3bPZlPA3CDwqE0BM/85UE49HxC/VZt3HminEp+gHICfEF2u8sYPeD8qB/qtffuE6OrNcaY9/FGgn7+Fz9/CJwZODJwYODFwYuDEwImBEwMnBu79B1qDE2wn2E4MnBg4MXBi4MTAiYETAycGPm8BetApqMZOWj50cJzSfOZCp7CeOcq1CXS6TpVOEb3A2Ya++jFO41Nyd48dtDlRLLOZn0pptuDALDjefRCPStl4Kc8rgK8c7Y5LEbvtzss5Xj1QXF51cLnPLNkv2L1hOYBOvT4BesAcJLehQFsqcTCcsr3PLPFTlOun9aNG18ZGBFDaBgXvtfWwmaD7LK8p0lnBe16bG9Szntav+HAtkG0sMWEDRMATgPcendvIYJMCFfpSoGcLvsFq1xYMD6amlH/6pTul897woF3Qs7k+lB99w/ErR/rjd+BdrIDljdW1BVK3lTy4rg0L9wBukDPQzcI9C/VUzgHK4CYFejEcQJc/PDgb4Ew5HgD7T/+T/3gpym8BeeD8sxV1UpQD4EFGymr5ylmT933qfiCx+cnD3rz/5F/4mjtV9JMvrndQbAX/a+s72zvq89xYsQD43rDg++p9yVfePIDxjr6j0359gejezWN30No7KHb6zG5/9bHzllOZN64joE+R3thdXxsXnv+FS31uXXp/QLs1c5w266C4fPNLZR7cBsx3WbbugdztXDDh+VKtv+k9FwhvbACYKl09cJ8dedepsSnSp108YB5oXRbv7/jgBcW1kxM9hXlxRx1OqV3dztmQF09U2kD6tFqfJSeECjU32DvhOAv1aQU/j3Kvg/x9bg6lNJjP4LlY46sLmNsAMM97BuM+CqCD0OD3BOlg+QTbrk3Arl950CfoZt/+28mBfqtmfxRAPxbur/7fV6ecNTgxcGLgxMCJgRMDJwZODJwYuPcHdA1e9QmcctbgxMCJgRMDJwZODJwYODFwYuD3Owc6+3bW7YAnq2nKdO1YsANQbJUDbp2zXp7AmTIYwA3ugtZgb2AuNSv43vXaBSvlWDcfkBz0BVkDahT0YCxAC9IGp7Nup/hmLQ98B+iMz2J+ztEmgqB0fbU2K4/5c7+ynpUynMocAAfB6zPg3XFCcbnN9SvfOgU71Tare3nUWcFPpfocmzLdJoSusc5WgPzuU1+vtdh5w9nBUyb3jqj9bWaoLRv2Pvdcy0Z8x4Hc1iuX9YaclO5Tad64M595R1begdelRt6gnLW3Uv+NF2Dvc23Ac8C2uchxbgx5u1mzy49ObU6xvnKfV//JhyE6gJ4VeiA6IB30C6AB6H3XVm70H74D/sArxW/q86yg64Py/FHwfF67VaUH37/gNW++s/feAJidOAV1cylPeorzlPLBx+ZbCaAHKJtjayEmbEZY35+n/9drU0rvt+t9B7pujadKH/S2fq7Z9KJv3/G1Pqnkt1U/q/gF7UfctO7VWd//bRMPzFOba7PG3hsJ5EavzgLzT72w1iD4TEkuZ/llw74hOjieap9VO/g9bdgDvStdQHnN3/KBhwB6fVGbA/AzXzpl+rr/tvevcYDjCZHZtU+FO9v2oDAVOvty/WYNX7wF0GdOcvVqM9Xk3QvUgs0Toiug+Jd8/fddqmvq9Nuc5mB64/cZoAfYPV/Hnr3vR3XkbGc9P5+ttQDG2bb7XgHoE+Kbk+eiogeyv/QR9u2s2qc6XE504Lxz1u19rj4QT2kOogPot6r32zLnoL36jTfznzueHOjn78bzf4cTAycGTgycGDgxcGLgxMCJgRMD9w5AP0FwfghODJwYODFwYuDEwImBEwMnBn73AJ2KFEwHkIF0anTwuCI/OjtvoBQoB79BdZAUTJ5QmvqbRby+uycfsutTgV4716mqwdr6B2LB9WlNrg6oHyxcc37yxWsjwVTcs7SeOcfrXx75d738ry4VuTLzqi8Q/tynFxgPlOujQr1endTxbNb7rExlOjjeOwmgyzPPvt0cQftl+/7ul653SGkeRG48AHzlid7w28YEKnEq7/ptvVnid2SZT53PVh3cbN42WICs+pXDvnnYCKGP5gdwt9b108YDdu4AfWP1ecXMc59e0DKIDqDXb/2py1ocQA+w1teC4hvaswhvLlO1DgI338bJ1j2gSn0eAO9z0C7o1zjre/ZT/3Sp0msf7AyuBv4CiUHJrNs7D7LXzy0oT2FezvNb5fltTvS/+trvvIBo4wdM6x+w7z13vzEC7gHJQHol+BcEpQr3/V/ve4NnR5bp3jHniJkHfa3V2+/yhk+3CLns66sj5bo4XO9iK9h7pyD6tGq3gaa5iqPqNh7Fes8kr3qAuu+AXObdr6wc4t/zvgtEB7ObT++2Y9dAfYrwPgPm00a9usHTpWjf8H32vZTqb//QBbNZwOujdzYV6I1JaS3/ufvep36rvxTZOx2A3OLaVbJxLx4aD1ie4Jl6G2QGy90HzOU5B8trw+p9AvHZnrJdnvSpQG9uYHqFYtzGA89NvV+xLjYxeN5bkN53ytgTnvsMUk8Ld9AbvJ6g3BFUv5T6+xxEd32CbfD7s+Uyn2rzz2bTru1UuLunnBzo5+/i83fxiYETAycGTgycGDgxcGLgxMCJgXsHoJ8gOD8EJwZODJwYODFwYuDEwImBEwO/PYD+4y/98yfuf+xT/yJApVCXT6X5tGUOUAWj5KlWh7K7I7DsnK13127zkH/TgzvgPi3hp/U7WEflLH964Cz4mO11fa5x9twoXkH2BdW2qrz69QneGUve78A09XnzocYOwgbJQHCbCdiM1656QTwbAQBx1ucU40HfniGVuHzvQHt9BITB88B686yP2kwQTklOEd9nY7NopxxnIV8d9YOIrQub/NaAwtz6tVYdrVH3KLWt7dw8sSzUt20+63e26tTt4mDlQN8we4HyJ19c/bDwLzb01zj139i1CYavc8rvx+8s1i+Xgm253jxtAgC7Ad9Lpb5h+rSCB9vZvC97951fm3qakjpg3v3gavW//I3vW2OmGg9KB22DtAug1/7xF68c6FTgYGwxFhwMNP5nf+xPL2V49QLh08K9z//n//ZT/++E6gH1H3j88V9/lAo9iBaIpDhOuQziNnZgt3qV6gX8Gzf4/se/8m+teXEMaI17R4H9BaN3bvLqgN02RFCILzv8DdFZ34Pl1e2z/OY2KLBwb6ximR070N394mRulFmbZLZNe2PLab6+73uDQjBbLviev3o9b9cuIL7V5D4vi/t3fGSBaeuTLb8c7WzDg7u1W/nfH3/+gtvTjh1A5wKgzbKAH7buYPjM4317rXrU6Zd1/K4DLk9Xg45U28UBVTu4HIwFlwFe8H1C81uAXr2pRp/KcnVco2KX+9zYlOagt3kC+YD6BOjWbkL0nrd3wY6eor65ybk+AfpUu/ccU0k/Ldupu6f6HBxXr8+OILr7nn3atE8F+bRtf5TynD08gF5f1W9DwPp+j7EmpK8cgH7+Lj5/F58YODFwYuDEwImBEwMnBk4MnBi4dwD6CYLzQ3Bi4MTAiYETAycGTgycGDgx8FsD9B/68Cf+8i1AXznQtzW7QnUNoM985kA4hfK0XaZynkr0rqkL2M5841PZbVxqd9Bc3u3a95kFMxDbnNl4y28MjlOzB5Mpm5tbwHopsrcKndre+QLcP/mpK9+zzQXNeSnFf/JTCzYGouVJ9zys1NWb6vGOQUj27fLCL4C+6wbQreFUrQP5Sm1A9Ieg/HOfXv0D7/UFqssp3Xnz4BBgQ8KE561d9S7IXg7rbXNeHzZLcBpg7W6TAZg+IT7lOdcAMNzay7tuA4I67NiNH8CWG53auc/ylPcMgdfGA8apx8F++c8p3CnRgfPruOE5RfKC5zfXW5uAeQr0d/34RxZAb62nlXcAPWV6gBdsZRce3M52PQv3NolU7zYH+qOs3IPqP3b/6d8A0H/sH/z0BSgDvc25svJyf/8H15p1P+AYjEuV3Hensb/ya1+3ALo4KY76LnVcGxM29KY2t4FlxceTd7ndgfHWSA55yvUFoHuPW+VtQ0ZtrKWNMBTplPC+/34DinPg3AaK1rO177ONCjYtTDheXx27Hlxdecgfe/aC0eWG75123gaJYHfrs0D3296/2gHolObLKn7nQO+du7fU4luJzg6+tm2W6B31/qnCWbqDyWDxlfP8+z/4kL17hfK9/nsGsHgqzAH0ldP9be+/ALe6oK52E6LXlup8QuipVO8ziHxr8U6JDo6D2xXw/FYFD/z3PNfGgA3PJ0S/7Nx3rveeA5SnhPdME/yzbKc87xpbdBC65wGlb/OZP0qVPpXpAPrs71EA/bOpz6nXZ38s3LN/fxR4v82h/tde932/8JpvffN3fOM3v+FLvuO73vyHzt9J52/lEwMnBk4MnBg4MXBi4MTAiYETAycG7v0ersEJqBNQJwZODJwYODFwYuDEwImBEwP/v4+B55/7yB8NoP/IR37uowA6C3clYFoBkaeNOsg9genKe76B+Mqvvc8Bdkpv19wHSydInwCdLTk7cFA3mNY8ATO5zwNh1NIALjv3BbyHgp7ymc34hOYzTzpl61TFzzzl9R28C0Jbh7UGP/HLC3hTnXe9Olm7s17vc/C9o9zmcrEHxQOV+mjdajtBNBhdHcp04Blo717t2LCD6Etp/9ynV/210WCv4VTzd2xNez4bBqzLdBhgsy6vPAgv7/la7w1AjQtwiw1KcFbuAVCxxB4dcKeG7zlX/ux3fvxuo8LOh82FoDUEcBtbfWry2l2W4Ruks2SntG+8wHvnC4QOO3KKdUp1yvTUySnQO771wR18p6oNXgdo5UFf8O/77/JXB/+yTA8c97n3P/Of/2YA/dbCfVq9y4Ett7Y18/1pPvJ1y0deDvTgXDC/5+q9FUutb+slV/mE5N5f869+/RY/wec+L3C9XQA6pxifFu5ihUMAxTk4L4954/Yb0CaE5iXHeWOtOsXp/TvlufXsqH1zWy4M5Ut/8OKC4oByALbPAHV1gtwrh3kK8g3EKcXB947s4VdfG8BPNTtwDnLXhmI66Lss9t/wrktdDphTnIPEPSeLd6r21lC+dv11HxzvWnFADV+Zqu+ZIxwgv7VCv4XSzQd0BtNBZGC8a9Wd9ab62waBijlM9bk1tEnBunfPM1DvA+7GsF6eB0SfABs8nxsAbvOIU3zf5joHqYPdbXrpenC9MkE6S/hpDW98+c9vVecTmD8KoNem7+hr//bf+fUJ8o8C/dX/O+uUswYnBk4MnBg4MXBi4MTAiYETA/f+gK3Bqz6BU84anBg4MXBi4MTAiYETAycGTgz8XgP0IN6yYt95mSmsb/Ods1Bnk01dHPRiUR6wBc3lK6e+BsjZvbMIp+bWrxzklM9U5NTCVKcT+gLfXa+f+gPz1K+A8+zSKc87Z1cPmk9IPKE7KB+wbkxK9sCZnNuB3wWxt1J82dUHeTccp1IPTKdG7hgEZGVPFS+/ee06T5EOtOt3QvJK5wF6cL16ALvNC/U15wo2Nn5twe5KADQ4WdvWcOaIt9mATfuE52tzQirjp++U7s0FqLaWS30cUH3fJ9dn77h+gtkUyaBuffUc63zbuyscAuRD11dtKqzjV/70Jz56WbVTtAdA2bFTnPccK/f543ewnP34so3fIH5+ZgNfLAW+g9BBv4BmYPxPfet7l4K50net++yoUx4HGQOOrU+QsHVLgf4oC/cJz3/9//qV3wDXHVOgB/dSlwO8gVzfExtCUspnOd8z9r4//MlfXRbugcDWT3ys+GLdvlX/3vOyOd+wHRgHrG3KEA/F0npPKe9/8GN3NuzbIr7+V776vVEBMKdU71hcNp/GLyaqU/vaBseBffXlMO96sHXlO3/7HRTPkp0qnWo9EN17ouquHkBNOa4A8gveb/t3UFvd9Zxbjb7KBuSuA/c2VGg/YXF1OrLjp0qf7apLeT7zpcuHnpoebJ426UHrZVW/Qfkt6H6Ulbsc5SA5IE5t3RHAZsE+4bsc6ZXiX+5zAL3zW2X5cgbYqvP17ONZbRSY+dRB+/lc1PUd1blVgXcOdt/mIp85zm9h91Sg36rU2bhPBflUoN8q2m+BeWNaWyrzADoV+q3C/Vi4n78Xz/8ZTgycGDgxcGLgxMCJgRMDJwZODNw7AP0EwfkhODFwYuDEwImBEwMnBk4MnBj47dm3PwqgV1JBB/QmRGfpDqZXglWAdaBz2rlTNFMJg6mANQt0Sutba/ig2S1AB+imCr623WPfTLUM8rNtlx9Ze0p71uwU6MC+zQDaeU6KeAprGwp89sxLmf6Tn1oAvP7Z38sF3rXLbn3XA7crqZLBdNbvcsPLi+6+HOts4asX9AyiU6erd9XfGxyMR63fs3IimPnsKdAXjNybB+Qjr461sskAxAZWqfytH5X5dCNYcPV9n7zeSXPtcwrwCji/bNm3dTw4Lsa6F4T1HvssD3cQ1YYASvSeB+wNfLMYB8FZkNtw0RhAO2AeZO3ams/TL62xWMOnik41ngI9q2+q3yBhED2b9GDrUnk/9uxSeXet+5Xg3hd/+V9bcC2ofQvQn//wTz10rfPyn9+C9Up5zfU1FeHFiw0bAeJAfSUA7Dxl6x/5i994l2/8uU9f30mW/+sdb7i91nDkmb+U/RueNy7VuvVlqd558Bf0rt9gLojO8r01bq61aS711zMswL37bJygs40C631t9TfYTGkOgLceVOfuUTt3veNSn5fDPqeBt39o1VtAd+RVb/xlK75t3AH0ZSM/bPrB7orc7Ffu8rd84IL7Vx9baT3zqgeduweCm/dyGdj1QXNq9K73XJcN/GPPXiXAzPr81rY9yEwdPnOEU6dPZfcE6SB7fU61+VS9B9GL/eoB4HKag/ytS8fmPp9jPhsHh2lVT4EO+ptroNl8J3Ce0HyC7Kn4Zuc+c5LLQX5rt65QnsuPPhXowe+pQKdwn0XftdUPRfwE6LOPA9DP38Tnb+ITAycGTgycGDgxcGLgxMCJgRMD944C/QTB+SE4MXBi4MTAiYETAycGTgycGPjcAPp7P/az33IL0KcCnY07C24qVYB6WoED4kFNEJm6VT35x9l1T4BO3c2iGXSnfGfJPa+ZAwtp90FufYDnYKqc3su6+pk7xfOCrBvyzueS91z+9JX/+X2fXNAXAFcuyL2V4cHGPrMgB9lv1eAgt9zlFOT1x3ZdG2NR+st1DtSnTg/A1y7AGZzX1juhJK89NwFwclnlb3hpHVqT2gDI8pnfKrprXzHOfObWmfX3VPY376717DYiiBnjBNDZp7NI77wxvedljx+U3fFnQ0DPkguA+kA/mE5pznq89lwLWJIHM+Upb+zmkkpdndahOVqH+q1OaxZAD0IHwOULD/YF0CvBz95TiuAgdRAx6+6OwbH//L/4igWwg/CPUqBnzT4/v+7r/7uHlOnufcd3/o+f+cKv+Bt3sO6xZxfQp94uXpZ9+Q/fqc9Tqwf1OwfQy4He+nJc6H3Vtj58P1qfjr2jjq2VfPRcDCpAd/cow/tOAsbr+79zqftey5Vem8apLqU5e/fa9q4AfTB5Wa2//UPrGni+6m/FN2v1rgdkp816nwProPRSf29Ld3B7KcuzhX/qhfXO2ak/CqCD8BTq6/5bPrDO5WXXp3mwML/yfYPsO/c6uG9O6rF675w6m6p7WsN3vflQcS+IvmH6hOe3OcopuXM1AMdnHvRZAuNAu9znFOHU9OzbgXNK8+712Vosdf07XnkHNggA6OzqqzM3AYD/9SEH+wT9ADkrdxC6e2D5hNITaLsHfH/Za17/G3Khq9+4Uz0+AXqfwfYJ7j8bzDdu7XsP9TEV7Ld50U8O9PN38vk7+cTAiYETAycGTgycGDgxcGLgxMC9Y+F+guD8EJwYODFwYuDEwImBEwMnBk4M/A4A+labA+hgeSWgy+KcSluubNcCiFTLC3btvN+dB1WBcDbiFN4TXAcx5UGmcJXPmPKYHfvKpb0h7gJ1O58xm3cwji07GLfyfG9IZ74s4Svg+bIK31AUvKbingCdrXXXgG9AvXvAMNU3QE5JDpIHvKeiXJlK8iB5fanbtfrpep979qBoSnSQ2rg9m/OZz37mfAfoJ2SvTvAz2BxgtjEBQG7tG5d7ALt+zw10Txt7Vu+s3JdF+N7QIEYau/EUcdMxSO1d1ie1u7iiCF/W6tt+vXsLxO/ncF3/6rqfmjgL76Cm/Od9dp9S3TjU8V0PSgPoQfK+T0Guv/vu5y+A3roVBwHtwB4FerAvIBiIy0I9BTlYPkH6hOS3edGdVz8Q/5Vf+7oFA4ON2ZX3PjlOFC/ND1wvToqfrv/5r3rtgn69E5sjimkbUUD03hV7e9/Dnq9rnctPHkBe9/f3sbVdkPrtH7q+h/ULmHdv5TEvPcC7X1oq7/rtfuu+lN1PvngXi8HpofQGpGvvvHtrbhugU4DXN2U7gL1s3p964Q58lwZgq8cXrP+e913wneV7fSyA/pYPXHbvK+96Odi3TTtQD4QvELznYixQnlK8AsDf5k6/+tv3QHqqbZbvYLl84lTta04bQBefE6RTa9/mEgfkKcZB6qlAZ5v+KNU5+3bnLNop6jtvXo3hvDnXX+fAO1W6OevH98ec5nNQxc8S4J7W87cW6YA5gA5es3AHx7uvPwA9C/dbm/cJuMHzR+VBB84fBe6npTwIb2637dU9AP38XXz+Lj4xcGLgxMCJgRMDJwZODJwYODFw7wD0EwTnh+DEwImBEwMnBk4MnBg4MXBi4HeoQA8ibxX6zH0ezALWg2UUw9TEE8IC6xTnADoAOq2/6w+UWwroDeabgz4okuXUBtLNr+uv/ZG7/uQ5v/Kvjz6mEt2cwHRAMVA97cmp2lmFyytOVV+b7nfO2r2c5tT6AdJpXw+WV0B2SvEgOOANsqsP3ne9ep03p+7LoV4/bVoA5+trqt57/j53bnNC9zyfOS67+adfWteCk/LKU55P2/bWDnxmdd496nLW730OPFOcixV28JwCeo/gvbhK4d0Yzae5U4LbIHFtjtjwvMLCXVoAFvAAeZ87Lui7VejsuZsDuH7lN9850QHzZd3+5IvXc9R+jXP/E6tPFu4B7CB6KnOQD0BvPsVNoDoIGkCvTpCQtXTW69/7xHs/864f/8hvUKHf5jp/VMnWvT4C6IG2FPCBXrFbafzgbXMI/APonadcD2wuG/wHd9+FIPtymHjm5VWKt77HLNv7vsk9Xmm9qledAHUx4XsnP/qC60+/dLkkBIE5Pyxr/cfv8qCvHONbdb5A+1azc6AAwWsvZ7oxgXeKc6D96nevARv3ZbG+1c8U5QH8xqYyb47V7zqQve6NsWqnX9C7AqrL5d29SnEIhgP1gPtlPW8DwAbJSvebCzB9KbpH3vBLTb9heHU7trGiOJ2QfALyW4AOhLNdB80pvOVJn/B62sHLfd55G0em/Tq4vhTmO7+7c3bs1OczLzuF/FTPg/9TeQ6k950AtW8V4EHwqeie1yfInjCbYp3V+rRrnznNp4V7c30UQJ8g/1Gq9Ns86NpPRTxVete+7L/5H/7Ra771zd/xtX/9b/6J/g44fyOdv5NPDJwYODFwYuDEwImBEwMnBk4MnBi493u4BiegTkCdGDgxcGLgxMCJgRMDJwZODHzeAPS3vOfln/uu9/z0r4Hn8p9TYlOhU3tPmC6HNQgKvgKz7L+1o+yett7yZNeusYDp2lTfGNNWHahnr86SmzK5PjvKTx5YA/21XUBv9FXpGT0veAuey8kNIFLcAuEs7IPXjR1QzDocrE6RboMAKB7g7hkbg5p8Kdr3UZ3u2XhAcd4563ZgvfqNWen+6vMnP7XeDTt+am1Qnbp8Ac+xOYDan8ra++5cPZb3QcDgpjUBmOufItxmCxbunAx81n+fg9eeK+gK+jefQHr9VSd4XdGXfOWt74KXT790KdnbHMFWnJK9c9B72a8/+Yry/FKXb8X8ysE+7N1nXu7mLof6uh5sf+yFNfeP//N/tUoW7O/40ZcWxPvDf+arlwV8AL61C14HpIO41Mig4AJir/3OVYLo07L9UfD8FqSXJz31ee2/7nVv+vXgeYA0MC4mAuiNX/xn395cexf9FlSylm9e1Oc9b2u84v/Hf/rKpd5xbWa4//KKIfbqPeN6D+++y1UOgHfecSrYgXVqcJbt2dr3PtXRx9rk0XtNsR2s3rnX5S9nyR5Q7n1c+cU3IF9q9q0eX2B8K8CBbuA8iM3WHfS+1Opve/9qC3Iv1Xiq9twItg17oBe0lu+clbvroPoa5y0fWM9s7NZf7u/GmdbsLOOpzbVZdue7X2C6919s2WAgDzrA/qZ3PveQfbsCwgPlE64D6PKwV1i+s3SnBK8ueK4/7eQ6ZyHfuXhl5965+VCoT8gP1HcOlk/b9qkupxan7J55zwFooJzKfELsW7g+Ld2nAh1Ib17OjQWgs29/lFX7VK/P4np91p6F+9wEMKF89Q5Af/X//jrlrMGJgRMDJwZODJwYODFwYuDEwL3P4zV41SdwylmDEwMnBk4MnBg4MXBi4MTAiYHfa4C+bJsnQN8lyAZuzdznl132sFqfdujBMWAZqNYHi+aug5PaAuWgr+v6b05U7QA6xTMYR4G87MA3RKWYv2D7Vj2D2tWxSQB0B/qpYMH54PEFeDfUD3R3HQCWx3zmPaf0rS6IrugTlAeeU5oD6BdEH3nXWcbLhU5R3pqC7dTcjduzAMhyhVNHwkRZAAAgAElEQVSN16Y+5vtaCvRty18frMrB8NYpEA1eg+fu147i3zPKYy+ftvfCin8p0X/il1/p8/4n7twD3vfJBdArbPVBWSkFgHhAWx7ztZni/t086ndau3v23hvbds/R55XffPczc6+zrrcO9dU9ID41Lwv3oHTQOqAX3MoG3josB4MffWndDxQGBAOFATHwMSiW9fu0cv+tFOjB8z/6Bf/lUp5XAujguXzk6/v5zMsrvruXwj2I3jOY15/8C1+zgCxwzpqfG8Xa+PLM3Xes9eidux6obe1AbwUIbw59b6Vb4BLR2gDwwVK5zQPVlSAzdfvatLCV5Ov7e//lC1B3PbAcqK6/PjunGqcQrz4IXvvqLGX8zleuLXjLlh1cry/nymUFP+zagfKVd3znLw8OA/4s36nPa6PdzH8Omk+FenN2Tq3dOBWfG2uCfTnGbRoA2W8t14F2RyrxaQ8PjgeLi/VAsRiefbBadw6iTyjeZ/OdCvRpe2/cCelrB5ibC5g+LeUp0IPLXb/Nf35bJkD/0q/77oes2V2/tW+fBfSeEL/vtQKos2Gvj1sb9ls1+rSE7/eiov20ftffAejnb8fz/4cTAycGTgycGDgxcGLgxMCJgRMD9w5AP0FwfghODJwYODFwYuDEwImBEwMnBj53gD7BOTV2JZA1rduXQnkDTvmuZw7qCXkr1M8gJyAOmFKrU5bLpx1goySnbGfXrB3LdlBzgd8N4RZYvX8HUKftODt66uU1t50THVBlTW9DQPeAQ7bqa4ytDAfUay9fPOjddZbsHdVj/S6fevcDl+6zcwf6G4/1e3MOimffznbdxgTW7V0H1m1mCPKujQCt8/2XL/X6Ba/389i4wP7c+5t5vqnLqws+excAsTzlxul5vaOliN9K7qXw33bsVPQ2WPS5+XrvIHoxCZ57Z2C2+Om5m3NxsmzbtyW7DRELelce3MUIG3aw3HOC7uz/1zgpzfez14YFfOrhgGTq8w/+o59fAD24FuwLSgf/1uaTZ15e9/rOBbCpbVMCA2ILID727DrPxj2IXrnNhQ6kdz3b9v/sj/3pZf8OngdG67exWhepGla8PXOnEG+ugfreQ5tpgul/7qu/bT2PDRsrNu/fwe7e47Jb37b+9bty2d9/+VJ9+072G7LSLzz+/JVKwfWuibPWmkK6/urDpobm3G/Vyne+YzJoXx+Ad+PKhd61S2WeuvztH7rLt74V6pTuvbMFyZ+828TQvfoA2MF3edUBdIpvivTOg/rA+UMwfeQo14b9euf1WwHKwWPAuLLg/ci/Pu3fQf6rj/2MNmUEmKeFe/cCzdP1AKzuSMndmPKVm3PXi1UW7cZY5zsfOXA9beQneKdWn/nPl03+rmMsavtb4K6edZl9smuX45wafsJ04HnmF6dEv81ZPgE6NfejALq2APqE5rcwHayf6vMJ0ycEn/O5BeOuZeFOhT6t3SsLnr/m9Qegn7+Lz9/FJwZODJwYODFwYuDEwImBEwMnBv6jA9BPEJwfghMDJwZODJwYODFwYuDEwImB3wVAB64AbNbKwPpUDs/c5+pNcA5Ss/EG3pbN8zM/u+qxeaeKZpdO5R4Mk4+cxTu18VS3L6XzsHZnzT7Bv/ozx/uEgmzma0dxq82t8htUpvQGrdUNXveM9Vkd61GfQeBUzyzYg9agfp+16b7rVOVAZuep3VOqg/XmUWEpLx97bdiSm3/vMxDPtl1ba89uH6hmu+4ey3yAubEAcu/QRgO5sjsHqsHpZf++P9efnOmuBTerU0z2rgB7mySkBGCh3rF16z1Wt7U2b8p2z7UA/j5O2/bgbH21jizgq9Pclq37djiovnzpQfQU5gFKCvSgdDA2yBWUTgUexOw7xjadXbWjfOUVKuL6SYEeSKcmr22fU5wH1oPmKc///Fe99s7+/Vu/f/UxlefgeY4IcrBTZVOGN++AehbuAdvip80f3e99ANgrx/39l1d7qvPWBMBecP3+XRoFuctbx+6xdKckB8Spx/W3cs8/8dG1Xmzjg602vQRwg+cAtxznVN5U5wHsy4Z9jFPxDPW/8pXv+QP8s0x7+AnLqdLlVXe+gPlWj1OIB37nZ/bt8qhTqgeHq9smhqk6r7CcB+Krz06+Z229WLID2/pmCX+B+d3PZ4PdM9c6y/egdzAawGa7bkzgfQJvqvp5vT7Lgd73JsjdtdZ+qtw9t7zncqAD/BOuy81eAdKpz9m2s1EPTrv2KIv0Rym/A9Irp/hrXn/Zsk9r96k0d78x5vVb+3bHR6nSb+H5LDYC9NsiDzpAr49gf+Uo0M/fhef/BicGTgycGDgxcGLgxMCJgRMDJwbuHQX6CYLzQ3Bi4MTAiYETAycGTgycGDgx8LkDdGrYAJqc4BUKbMB5wsqOgDZgGkSlmgaMgehbkK0t0M5eXH/LGnuDUqAVPKeKB23BWjCfffSV53vbeBubEn7mVe/zgsQbzpkLlbi+m681CAzrVz70lRf6x35+gVvj1y4I2f0FgB/cWZlXd24eAJArVPvypwPoLNDlSq/UBwv1Nz33K3e5wjdIvvLF7znbHAH2Lyv0xn/wjy+IzFGA0lwucMr/la96g/uuy2/ePGf76TIAWgPalO6Xff9+/uoETqnCKY3lTmepPq3bs7tvHgFZamZx03VrU7uAd3FFzczSfQL0+qZAtylAznR50xuX6r26HctxHrwMoFOg9x0L+AW7g4sB1mzeU3qnDK9QoU/1eZ8DxtXvnQXcP/zJX13zbhPGn/rW96686kHz4HngPLgXPAPjpTfwXe68zRh95pZQvebavebUGOVd/8Kv+BtrU0Dr1hoUZ633WrO9qaG5ffsuIHnPLwf6+n15/hcezl/+xEcfyp1uo0v9rjQD2+6dxfpyENiq9AXh3/6ha0MFcN71IGv1g6lr08K2cwfLA8cg+yrbNaH+q1t/1OCNDzZTxQPyOQmwPe8I6rNRB9SdU3+7BqCzfW/OC/xv1TkVuXzmwDOIzW6dQrv7NkFQrLNEB9Bbk9oVd7Vd+doHLF/zuIHnU/G95rVjEuie0Np4HV1jo64uNfnM3W6TgL5sTJhQH+y3OWLmZgfxrbFc6sYOJlPLT4AOcKszLdHlNL8F6a7PfOcToGt/a+FO/Q7cg+cToj/Kzn0q0mee9ql4r9QHiD4BOwX6Aejnb+LzN/GJgRMDJwZODJwYODFwYuDEwImBe7/Pa3CC7ATZiYETAycGTgycGDgxcGLgxMDnFUAPBD3Kwp0SNVh2qVY3DJ8gXB5wEHoCbtCdFfpUg6vfNfbnlNUUyyy5WYtT/damusa7LOKDoYHPrSYH0dnRT9i/AOuweve807pe3VtLeuCXypsqnjqfzfvM317fnQd5g8esyYPkcqJTiM8c74ByzygXOYBeu0CovOoguLnVf2Mu9fq22u/+VO+Dy7WhZAfZ5R9nQd+11qrx67cjJTob+Pq1RhO8U8yv9/3cpy8b+Zn32iaFCa+9f3nJ53l1WkuAnhI+iA2WSzdAPV+fFOk9T/1Xh6K9Neu898pe3kYFa1W/rvduKa27Hzxv/K6l4qbkDpAHLQPSX/RVb7jgazBzKdSzb3/sTnEOni8A/kMfuwDt2tywLdE955d8/fdd9tJBQPmg67ciprNq9z323eiz60H+gH/f/2JJ7vYU6EFJz9u9ywo/a/UnPnpZ2q/5PfHRS80Ndjf+Gvun/um1GYDd+vpe3L+zkF+AfW9woJavff3XX1DevAOpxftan60Sn4pyqm/5yRuj9WZXX9312yR/+8hXfuUp36D/skZ/7NkLqteudwaaL2v3LMi3TTvwbh4ANQA885cbi+06tfq0MAfQWa+D1TOv+FS5U62zXGer3loA6CA98Lws37e6W58ge/NoDp7rGnND7mnxDtrLZ65UZ9qxa1OhIgfb5W0H2inNzROgl8fduXFA8ebxqNznYPStwvzWLn1at3evzxOMU5xPe3Y277eW7VMVDo4D6BN6Pyo/+oT55t8Yff8B9De+7e9dedDnGAegv/p/d51y1uDEwImBEwMnBk4MnBg4MXBi4N4fgDV41SdwylmDEwMnBk4MnBg4MXBi4MTAiYHfD4A+IXrnyzZ9q7BnvnCKXmCVNTtQzBp9WqUHvIDQqT4HqVmML+C9wamc3gAr4A761m9gTi5lgNycF5TdqljwD3QFs4FbEHUp4VuD/azyq9c3e3a5uIFocNiGAip6Nu8dKeS7x65dnvKAuusA+sot/9ynF7Sm5l+wfNu9Nx/51IPnU5Vev5diesP06k8b95knflmv7/zfAHTnAWQbJSjzuz43B1x5yp9+6S4nfOu9HQjkPa9Pz2SNl8L8J3752uzQOremrbv5B4crqZ/rf0HSJ++uVZo/q3+wH2BfYLeNCOXcfvLFO/C/64LyzdG8qgPMg+mNkZLdPe4FgP3aKPDcp6+5cUxg5R7oC0KXBz0QnU16wDWgtaBgz5Uy+q33Lwt3uc/B8z6zC5825AvS/uDH1vwod2febkrqlOTTqp2DQaXvTtf7rqc2bw7lTw/21655B/YD6I1no0rPyhFgWd5vu/LGZadP8d6clxL9qRcuNwvK9AXIH7y4gDR7dxtsOGBUuA50bJzWXYqJ+gXfqdJ9ntbqVOrOWcPLQ89uPZDbcwRsgV0QHSjnFkDZDq5T1xtz5jNnPQ6ST2gt/3ntp4p6KtRBZO28c5AdhAfbgWyKe/C8+2seT71wKbiXzf1Wp9/mOZ8gfZ1//x34B9Hn+D1nwB7IBtCL42m7DpRP4M3a3YYC8wDarYnPnmcq5Nm0A+sB5D5TfoPOMxe6POSPsmufZSq/A+gz/7lz9uy36nNKdfcmFL9Vn9/atDe/eX/mdKc+B9DlQGfjPm3hG/8o0M/fjef/DicGTgycGDgxcGLgxMCJgRMDJwbuHYB+guD8EJwYODFwYuDEwImBEwMnBk4M/M4AeucLuj3/C5cClO1z11f+6g3Qb6E2qDqV4aAbpTKAOm3UAXdq5SDkBZFvLNWp3SeIr99p5866m8X3Aq17zqy/Kczlzl4g7Sd+/oLD7i9A+PRLl0K+fkF/ucLBeTCYdXv1O6cMp8CmGq+v1M6dg9+duxdIDpADntZxqvVTDz/7T/71pb4G5dmuT6U52/VpS2/zw7RZd2/artemea+2z7y8irm47/1ap6Xcf+7TV/8TXpunDQ/eL+t2sRGkDVgHpadtu/cKxq8c9hukA7vZm1PLd63PK195QH0XOc87ureU6NvO3aaPzlv/YqG+bBIAPm20CGgHxlf5nvddCvRs1zsGEwPUKYADfwFXQPNSBQ94XmH/PZXV4G9zWc+y86lXWPPbCFKMAOh9h4uX4jFo3ufea3X6/oPn1W++WbgH3gK2wPX6ro7NKT1383nI4n7bzbNzb33U8btio0vXVz/bNaJ5ti4ztcJUqNs4o//L1v2pF1Y/8qu3JtTutQuMd7352wRwgfzdV3XqPzjMEp2CXf8U0AtCv+Mj18aFuYGBbftSpW9Vede6B4BfNu0b9Mt9TkEOSt8q1QHxxuoImnevfgPX1WmzhnnKSU4Brh04zXLduPUlv7jP7unffKnDqciBfirwCdNZtVdvQfV3fPCC4DM3ujVqjuY5S+27DpYrrNopzjsCzwA3qB4IB6hvLdqnEvxR+c/LfX4LyW8LyA10A/hTWT4t3Kfl+jyfkL1r9TH7DqB3ZOHeWk8Y3zml/MmBfv42Pn8bnxg4MXBi4MTAiYETAycGTgycGLh3FOgnCM4PwYmBEwMnBk4MnBg4MXBi4MTA5w7QK1SrrNwvILdV2YD6BLNyW7MxB78op0FZgC2gBcJXN3jVeZCzom5wcwJK9u1TPc3mXE5uedLBb/bvgOnMiw6sB0zlNW/+oDUreApvz2WzAJgPEM8NBZ6tumBm/awc6BuSg8wLRj/36aVGDy4vq/bnPn1Ztis+s8F/18v/6rJMl299geMN0G0I6B7lOmjdfap3R0p141FaA/ws2Nna65dzAGANyC9Ivi30qfap89s8sPJm7xznYDglvJgIaAcqe7ZU8cH0rll378OzsQCXu9y7cR4M733XJ+guXztrd/nMVz70oc5v7Na39xSoBbClBOh+IDAF+pe/8Q6gp+SmQu+7lqo7eNj9FL3VD5TLqc1i24aW2zzcU0XdujfPIHHrNd0iVtxtgN478r3uCJLLgb7A9laDrzjdMD3wnwKdLXvj2CDTc7OUb2yuEOzhu8/aPrAvRzkV+kq3kIL7yRcvyA64N44NEnK/O/qeLgv1H/rYWpfm3vlyDNgbDfTF+l77nq26fguA/eZSvWUr/+DFO7C9nwFEn/nHZ3528/COZo713ilrdxsr9OPeBOWr7gbNFN5Trd7cmqvrMz/5UswXQ0/czam46rxrFeNOq/RikSW6/OWs3dWdnztf1x579lKJs3c3FznXgW3jeC6wXF2q88C452ZBX9+ec+Y416d+K4Hkmfd8WrhPkN1noPtRsHnauctpzkI9wB6MlgsdyL5VkIPowP1UwD8qB/qtOn1C9Kkml29dHxTo3UuBXum6a3K7A+iv/e7H/9rX/vW/+Sf6O+D8jXT+Tj4xcGLgxMCJgRMDJwZODJwYODFwYuDesXA/QXB+CE4MnBg4MXBi4MTAiYETAycGPjtAnxB9AvQ+g81g+oTkXZ/QTP5wwLx7M+d5QDIACXAGJoHwBXZ3nupAZ7BU/mwwrftAG2A9bdv7zCp6qt2piwF/YBhEq+7/x977/Wx2VmeaR3MY5ayR5iCaREJRTsikhTKOeiJFQeFTIkZqjKCFEhwYgntCT7sNyJaNMSm3u2JV4VLZuJjCVRQ2dsXY5cJTdKkOXFZiEanAZhLitDpK90EiFHX/HR5d613XU/e3/X5g0kZWu9fB1t7v3s9+fu21t7/y9dz3egBw/uRL9VvY7JhUYAO/czxpA2/f01KetrQLx2qd82m3LuSkrPnQhdMuShBw0zbXbVvld/atcsS3ep9+m2M8reWZW+GwCw1U0zuH1qsrQC5aAA4Lu+1HqsHpI/BflwAdAMyR7rNeKuY+9nlqI2+MqAY3N3lZpLeFu9bt5lxnDlSM1zMXjp95sfoE8Bag086yZ2/XA9sExFKWY9X9tkv8Wm8uymCsQHEhOsdAaPKKA6JVngO4CqLddX49J945YbkQnU2b8rQDB56aB9z3kevcyz3GP3MJPCe+mJdUd2vdzt5FLkBUvwPAfuA/sP9nf/kD1aYuAcJ5betdAGM/TPOgLXo5C3xllw6C+XJslNUK3kUtWrVz7GIZbdtVmy/IfWG3V51uLnRzkTtPziNl2PJ7pQU7z5sNyG2bBf87v7uw32fgdX7rCiBMzzzs/Pa4oPf9O5W454XVeSzkFrSr8va4LPqPXVhgGUAsdCdWVKhTRrCvywHOBgXB27Jd8J5W7CrD2Wc/6Ld9FKqrIFcNnvnP3cyfbrlUq1NngnWheVrY01fGwDtjqoJtG+Y9Txt3j4HJwnQhtgBdOL61Xxeuq9zOHOhbxXlCdsG5ZbmXbZsHfZ/CfAvMvSfhearQtXjXnp3jfTbuaVP/odvve3UA+vwtPH8LTwxMDEwMTAxMDEwMTAxMDEwMHEwO9AmC+RBMDEwMTAxMDEwMTAxMDEwMvDkFuuBMC3cAGhsQHfhUMLchlzbggnXgpecE5qqvhcDA8MxRDTjjHIBWRasQV0WxSmhAZYHYVhsLhAV6bFp6V57t7mcCbnMzC/aF2pW3uNt1MYDQ2zrca0cPzM7c4OYFN096qp3N/829qrpth2P2QE7V4/ZDO/fa/8n/t3KhC3NVhesGAABFjW7Occ45Fstq115q2zMv13nV9/bZPOXavJv/PeeduaFPW9W9wN286y6OEJo790BU77OcANt4IO6E1swL19lrAU85Vc9as9tPwTfl06peQE6dxJ627S7kMC4E7KUuP3296gCulhq9wTn3O3eOjXvfd3fbt9/7dIFALdyB52yogYGY7771ngKq9Nn3rfKLP/z8ypXNMZC47LhD/SyEJs59/sLqBOjElQDdfO3GDCCZBR0rXUMruIXm9If+YuEOQAdm+u6bB532tFX3va3zp3ZgnfOq9FNFznhUzPNeaqfOOChj+gjP14KVzrFO31mEoFU911TGa20vqGehhwsL8tvlIgL7wEZ5njH3CKnLotw86iev1vnKWc92ajd+wbg50svOnPz0qMqxRufcvU8viC4E19adtoXy7FW1e7/H2rlzTynvT+wAtxBb2F2K9s5hLuz2uukBBO32V9t01efr3laYC9cpQ1nOq0S3buG4oDzBduZST0v2zONuO/RLcJ528qrZHbOQ3Da0pM82VXsDkj3OHOL7QPjWrn2fPbtQPOG5v1WHZ+502rK9tHHXXj7t2blH9Xyq27e50hO2q6xno0wC9IToBeNvv+/VWz91zx2jQJ+/jedv44mBiYGJgYmBiYGJgYmBiYGJgYOfwhxMYE1gTQxMDEwMTAxMDEwMTAxMDPx3HQN3fPaen9kCdKDMoRzorT5nU72ZIFkFbKqVE6KXPXeDZSFzqswBY8LahOOqttmEuAVlz+7aUw0t3BXUVx7o09cLhgLstHVXPWo51bHmTRfeC5oB0VrHL+vvs39a8FFgZzktzAXp2qsDsVVNU4flhOmUF94D86hrKe07x7qKcyG44J29Fu/2w0UKBejb9l2VMNepC/CoYjit9ws2nr6++qldPW1oxa4yWBgu7NaeXaU597Ff6u5e+GCMrAUNDcldUODcaJPu4gb6Wwr0k1err6WaP7U7J7T3t6A7oTiQWyt92gSoq1jnOs9HKK7rQamoz313AXTmIdXptCdAV/nughAU5yv/eUNTFN7Cc1ToKtABh8B2nouLVHjHhJdCc8qb31u7d0CvgJnnTDmV1rozsBeeGyP1fBo2U6betX7vAc1AWSF/WrgD0GmXsWe8qRqnDubBhQ3a8ZuP3JzkWs4XWEfF3XUAn80ln2kjXBBAGW3dTSPhu0jbS0kO5H7gm3WeNgtyt4pdeK9Snc12OUc9ug6wpz3BdR23NboW7cJz6mSvxXnCdCF4WZbf+/S6rtrc/OQCZCE7m2C7VOwNmYXp9Fe7eHOqq9hWAS6kV4lueWG21wXjKrvN1S605rdKdcfiWK0/c5CjKhd0u5mTXBt2+2C7AvOax2MXdkr3XizAPADGsy4t3M13rsrdYyGytu2cS/W596o6T5W20FpInQr0reJcaC4c39q1b63fE9pnHnS3rcW8dW3zpm8V6Qn9tXH3ekL0Aehv/99es80cTAxMDEwMTAxMDEwMTAxMDBy8w+fgbe/AbDMHEwMTAxMDEwMTAxMDEwMTA2+1At3cwByrPOc3e/Mtp3W7ylDtjgWVgi3BaQJqYFZBtrM7i20Bq2A2bcmrfCvWU72tNbsqaZXrgtOsSzW8oNU+pY27+cFTMa+aXDW1YFv1PBugOtXV9t1+CvdphzYEtFq0Cw9Vlatqr7zSXc683gJm2kQ1LMRMVbiKaJX7lGFTie5iAHPZs1ehraW7+elrwUCDYevVYl3rd2E311wUQJ+1iE9bfhdQaEdvX1TEO35BtgsszEudecpViXNNuO4CC/Ys3KA/xBd9F64bH6rKS2l+7PlDz08VuxA4re2NRcujeqcN4pHnCCAFvALRVaEDvIHQ5j/nGJhFXmqgHgp1ngXvDwC31MH371S9QkrKAtEFmqqbabNynfd7qlqdeqjPd1fbfNMRmJuc+aKP2ppznr6hPjcXOv1+7MnLlQMdqMn4lhV/Oz8Al33PKhb6PXOxBmMoq/2Tu7zdLl4BlgKi6bPpF8yP7jdFS3YBubnU6706t1PfC+ZVngvaVZZTVjgvOGeuhPDEgIsKuN8c6uYxp//mbq9FBo9cWapz60tYznnK1nMCuj967ZAdOXVoi25fMrd4Kr5rf//FAsipyBZ0Z1kBMjGiSrsWH/y73e+0dtfu3fvTVp37a2sree3a7Y+5zoXntrtPYe6xanTBOnAYmMw150W1vMDcxQVC9LSGt21zuJvnnHPCZ8uqVM+c6ELlhOVblbmw/ZZQm6ciPVXfjMV6tFbP6wnPvZ/fgnRt5rd52jNfOvstEE81+hago0DfB9D/+R98/h9QoH/sk59+Lwvp5m/J+VtyYmBiYGJgYmBiYGJgYmBiYGJgYuBgAPoEwXwIJgYmBiYGJgYmBiYGJgYmBo5WoAvQ3cyBjhpdS2gBOmBMK21BaSmoG55pba2KPPOXF3xtYCac1hZc9XnagqciG3BnfcJYVfDmozYfOn1JO3n7KjwviNu5zssm/uQOhiZ0py5BPseqjgXr5umuHNgNKalP4G/ecXMup+IaoKf1N/ehNlc9LoT2fKndn31t5fgWogvfnTMBb4HVVuoK4VWWa+FO/QJrwLcgnLEAh1WWm9u75pT86iiwT15dfUz1NvCavYsBXDChQps66IuW+xk7mR+96u1nCdh0XKrXXUBBGSCwiyGMt8rTfvzqyoOuEwDxbH50Fg/43LRwzxha7gO6GIRzgnNlvfSBOoCBwHM2wCxwLy3cgejAQaAmsIwyWpcDyVX4qkYG/AEQORaacmy+8VKvh905MaU9O+cZrwtSdG+gPSAxUJJ+Ay25h3q5D2BPWeqizwD0n/+1D75+yydP7iBxuzsUqOad7xznLrLwGoC7IC8LFnCH6GdVbgKtGtfWvb4bfcy97IXrKvD5reKbftR7TH547NcbeNOWCx+0ca/3vuG46R2Yb102mAtzsVdst8163d/zLrzXtl6ArhJc63jt3oX3wndBtfbutuEzFZy7F2aryAYGqwRXuZ7q8VSDC+Qpw0IIrc9XW23LnvbumXe9+v/w86td4bZKceIgQX7mUtfaHRU6ce4+Ibs28CrVKw5xNzjxwmqrFgJs+qYKXWjOOaG5kFxrdzbhueB8H0AXVmd+81R7cy4BunnKE4yTe5zraRGf9pOA3uMAACAASURBVO3CbYF4qsrzngToCeCzTKrPheW595jviyr0BOhcH4A+fwfP38ETAxMDEwMTAxMDEwMTAxMDEwMHo0CfIJgPwcTAxMDEwMTAxMDEwMTAxMCbV6AnPGdThZ6WykK7BJ9pz10QqoG4oFq4bU7ktG4XpGv7DchVCW6ObQG0bWt37n3C9rRvz7oBiAnPVcoL2rV1V+muZbpwWqtxYWtB5DMv17W092YDHNtX5ktbdMF45vx2AUCq67WBFygDy9ku/NnfFxDlPnOwZ3lzreeYVP5zv2P2HOUSrAuFE8RrdS7wt/+ZM53x+ywpp3OA4N7nAyg2BpiXpahvZbpg/dDihrbO15Y9FxvoOMCxFuyq0FVZc97c6IBujv/o8t9UjKiid8GAVu6lVj/7veqvCz24bv3UwSIKxsUxG/nUKZ/W7fyuMR+/VPD8+//pvxaMBtoCNd/70ft2CtQvXC5waAoF4OohO+tWES/V86kdOOc35Tk2H3m9l21RLsB24YZuDC5qoC7U72xAZvOW0zcs27mXMvSX3+96968WOBXSA4XLxr0t3F0oYTsq6nWq0MZdW3UV45UqoRdkUJa+87vU7SxoEOY+eHGp0AHe1K+KXTcCIbp9EaKbVoI2a+FNq81L+d9KeZXh3KPK3Hky17zQnP5wD3W7oEG7fi3hzesubBfEqyg397jA2Hp85oDoVHln3nRV7uYeX/A6gHPmcOcaQBVbfqF42am3Ct3c6uZrty5t5lW4c19Z0d91ftnKC+XTrp0NOE7ZVKNr4W491qXq3Bzw9l87dm3qzbGubbt1qmwXsAOOgc70wfzjW4DOPVvr8wTfgui0a0/bde3b2f/S73y6IHrCePOgpy28KvVUnu9Tj2+V8GknnyA8z2/rQX2uCj1zoQ9An7+J52/iiYGJgYmBiYGJgYmBiYGJgYmBg7FwnyCYD8HEwMTAxMDEwMTAxMDEwMTAT2bhnvnO2QPP2DgGeqpKFUgJpIWMKnuBYQJsLc2FrAkjtXu2jrTH1qo9ASAb57SiVoUuyPd+6rePS/ne6lP7mWBNCGn+b+3PzWXOJtQVugJwE0DzG7BqTnVzhqvG/uN//5930PgrOwBa8/Lsa4fyp9t/2uJ+lcP2x/mgr0Bx++Ycq1xfudKffa3KlRL50quH7O4F1SjZzTVtm9yPOtu5TItz+rIU963q1TJehwAXOdAe5wTWAnAXJKiG1z6f+4T0PjMXRhS0P3m14Klq83y2nHfhRtmMtxrenOcC9GX53jntzZOus4B9Nb2A8F77+LK5b/cB6qDOUqJjA96LQFSfswHxBOi8Y1iiAzKFjJQVsjIWVcyAZpXVvI88o1qccuKFXX7vVjYLq02lQLmy3L7/4pofLcx5toJhwDlW8+yZL6E76nP6C3yj/8QHCnRyoL/n944v+3X7KkwXPtfihq7L90vLddXnQmpzjtMfACrlzUWuYtw85OYd57yxqsp7LZhoJby50F2sQSyaG576zcfO3NVinFa0cw9lmD+BvEDcBQGUUyXvtbR0Z/yq0Ld5zbUiF56rRtcm3bzlKtq9X7X3ym3e9S/b92MXCh4Ln815zrMUVgP9hduUSdW6du0eq0znHschpC8FfINuymmnrrLcXOQCcuF5qsSzPsfmvAj+Wchhf+172tTbpjDd47Rt1yZeO3Rt3LVLT8V5gvPMg+6xCnRhNfWqOhemp6JcwM1Ge7/50TurXFq0J/hWgW772Y9Ul3O/+drt3xaebwG6OeEToH/kD7/w8Fi4z9/I8zfyxMDEwMTAxMDEwMTAxMDEwMTAweRAnyCYD8HEwMTAxMDEwMTAxMDEwMTAmwPoQEzt2wXoHAOPhNxlvdzKYuG5YFpgZ/5v84KrDDa/tjmltcVe1u6tzBYqC1S1ptZGXsic7aUanX5pWa2iXStw+yXgU0EvQAas/T///q8OqdEFz2npDQguSN7tZ38zD3parQvFE8r7GzW347Jd5ksgLghnE/BT72Mv/t0hK3f7RxkAujbw3MfzTJDOOZW5zJeLCFRkA5bTpt884y5C4HjZ9IcKPt0B6tmiKm71vHMGbBbma2mvMt5YUmlcixdaWVx9O7XLba0CuqzEe3GDanf6BfAGorsBT80Tr5JeyM7GdVTh7Eulfupa9c35oKw28uZJZ96AgPQXaAiYNh860M4c6CrQAVvsAZylAAeGPnSlnhPPQpW2VuiMT3t7FxEAMGm3Uh6c26nOzR2urbnvB2VqrA3puf8XPvX4ytVOe+aaB97iPAGIBA7TR36jskWBzr3UzbjNL05f2arfJ17YvXcq00+8cDOneVvuUwewlHsF17Udv1Rl+Rapbi9I/vDzC5jTBnHnAgP66Ltbud2PX1qLLYTbfM/oRyrV7Z9uEarj875Ss2PdfuKFBe6F1yrABe6cV8UvFLas1vP85j6heSrAzfFNHVqWp5U7e2F1AnUhuGp2gLV50NOunWuCZuFzqtqF76r9S8ndYxSIZ152+25bWTf3qEBf5cPC3uPM++48awufuepRz2Pjr+pcSC6stx/CcSE21z0WZCdcV1XuXkX5VokuIE/FeCrFVbYLzLd27V7HdSKt27cqdcF43ptKdTfBearbt0p0wDnzdpQCfQD6/E08fxNPDEwMTAxMDEwMTAxMDEwMTAwc/JTmYIJrgmtiYGJgYmBiYGJgYmBiYGLgHQvQ2YBmW4CuElZArUJYIK0iPdXhgDBAbgJz4aj3qGo197UQXEtwylin6m3hF5sqbus2z7H1UhZwqz256mdBvirysmVv22vV5SrAKWdbQu/sS9qbJ0AWfmulzlwUHAzgzm+UvqrKLe+8Zo5wNhXoWtw7Hq3f7ZN1WQ+/WRjgGFBgqxbX1t25RL2tNXrmOud4zXFD6+VE0IsLzKfOZn2UM2+3z4pygvUcby7M0FbfOGGMldv82POHYsbnJ0AX3NMG9QC+VZcDSSknJOd+FfLuHXuVb7guhPecaQCEr1pzAw+1cQc6A861cOddAkp//sTjtQGxy8b+zIv1HHi/BMDMTS2k6Jhk/gTY2ogLzI13nSK4TlnTHbgYgbor//m9uzzttF9tNehWvVyK5mMXCmbTZ3OgF+hkbho0py175ZFHqd0xbY507eUF3sJsAbztu+iFb44pIyqX+zM7tbuOFZTzORY0732B6pNXd8+h+0UbBWIf3c2lwN80B+VocG4HxwXdzrFuAPSBjXoFvZTRxjzzpDOv3CNwZ2+9qWivPgb8FlDT1wTn5vVOBbhQmnvMja5yXft1Qbaq9oTo3m8579UZges8/1KaN4gXUqcKXaif1+07Cm0XBTi2ZUGvXXwfuzBB23jqI355TwTomdedPiU83yrPheCq3gXV7FVjs6ePboJ0j1PNrYV7qryF7LaVucsTwHudjeOE6J7z9zYPu+p5wfi+LfOepxKdMQrQGasQfQD62/+312wzBxMDEwMTAxMDEwMTAxMDEwMH7/A5eNs7MNvMwcTAxMDEwMTAxMDEwMTAxMBbAdAfee7l3wKgf/arL/2DAH1r4Q5M3wL0hN5poS5sTJt0Vd1CV628aUPwSVmtvL0f+JSQXVCtNbs28SqkVUQL91XMq9hO+C0gV9nNNdplfPTVPmvzLLw2pzPnmatqs/tSVugNlFN1bk5wLdcXwG61d6rFAb6qhjMfuPOm6pznUgC91dm5IEH7dK3SHacAf2tTb05x+0ofXPBgu+YM19bdxQPuXbwgRP83T/1V1UM7wnfmTcjvIgpjgXpy4YRqa+8x9/eCp6evVz3AdC3lfQ5ln94W7GV73upo+lHwva8Zt86v5c11L8AXvOcYsW43Zgrad52AQIAhcJoNUMqiBRXoX3/xPxbIQoXOBoh1YYMW/RVHDXmNx8/0MXOg4h2gyHljlfLstVQvS/aOId4d5tXc3czRb//xbi7pA5Ca9muuvviNguWofukXIPM9v/GhsnBn7CrznQvmNtM0+O4L0IX7gFJANP3VYl2YrgLfxQL0RTt3xluQ+9S1tQhAFbrq98pNTnuA61PXbgL3hti5kEYlfMHwU4fBuACb+5kXrrlYQKguqK9FE0BkgPvDz6/FAdqQq+DWol9ozDVV6J6vdqKMcDlzgi/w3aryBbrD9r3s2lvFXjD92IVDMF7ILdBPoF7A9cGL1T/qxR1BYG3udJXrwngBuhDdPOTsWUiSNu3mbtee3jGnIt+c92y2XfuwjHf8qtC1b/c371fmO89jrwm8BddCcmG7Su9bPvK5Zd/u78xNrko8YbgK8syfngp1rwm70xreOhOgew/XVZJnLnSPU6HOnue5zYM+AH3+bpx/O0wMTAxMDEwMTAxMDEwMTAxMDBwMQJ8gmA/BxMDEwMTAxMDEwMTAxMDEwE8G0AFVKj/JQbvNg54A3XzLQs3KMS4oayUwYEx7dGFrKtWXsrxV5wnhrUPVufmMhcGe0/pdgCzUN+e58DoV42kDTxntx4GgjstywndheNrDc60UsA1zUymtVTr9s89Ca/uc4Fig79zUAoNWlQvc6Z9jMud4AvICkH0f9Wojb17zpeg/s7OFF1QzDnN6a7HuYgb6UqCy51jYzkZdANYC6L2QAZiogjtzrQNsAXtAfOGwedRVpGuxTf/NaV6x0Opm7dOpyzjhWMBtjvqlNG9LdoG40FMlPb+B/JX/POzhtWcvu++TO0BPvVr+q6gX3quIR31cua1b3a2NOwtQyCsORH/iWy8VYFx5kO99uuA1YJ25LMeHS6+u+AJmmkpANb5qXIAtcJH30jJc09JdYOy7Ygyq9qbfLmCgnIpw+sn7z5wQr/SJHOilVu/nwXiZu5qLhtQC68pDfmoHytmXfXu/M6ZV4HkIvFXy+/1hzNrXqyDXcl2QbTul6m5grrW83yfLsaduzjEe23WBgQpxyzN3zKtqdq8JnXUaEPIK37lPgK4durDavOcqxFVbu9/mRDcneOY1F0Kr0ObYnObapbOnPhXZxoeQWyBtbnNzlZd9fNu3M98soOC8oF5oDRi3H6rVAdjUyd6c5xwD0LeW81q050IBxpwLCFx4oBtCquhtQ4BunnRBuQBdYL4F6OYR97iU8mHTLvAWanuO35QVTm8heqrKM0e55/ydtusJ0NOG3XYSoLMXoCck31q3O3YX6SREH4A+fxPP38QTAxMDEwMTAxMDEwMTAxMDEwMHo0CfIJgPwcTAxMDEwMTAxMDEwMTAxMCPj4F9AN2t4HHkQQegA4gEUQI7YXTCY8EUkEoltPmYKSPQFKICK4W/KpxVCAM6hfoJ4gX51plw3nzI2jSr5hbmL8jeNt/C9FKyh+pXZa+KbkG2UJzzKuatJ/sj5FVprjW8ynHbBcZyjuvez3lgcy0KaLt121e9rY274Nk6ANDmzdbm3QUAluM3dWgHL2DmOue0hS9I2eMT9NJ3YLaKdIFl2qyrzqbflHFxgrnHAc8+k7RwN1+6+cUrFhpi06YqcG3aheucQxWuNbvjEcKrEOe+hOUu1iiV/NnvVf5zc6KrsqZen6nqaa5znjq4hw0IWBC9N/oBhNTCXTcHAOX7P3z76+++9Z4CpcQ380o5IDrzX1b7QvBWh2tpnnm4hbvajPt+qqB2oYRAnvgQOuuwQNteB1wC0Okn43zuxg9ff+zJy4cAOnNivvBa6NAAnTkVXLuIxXdPQK+Kez3nfg+Wk8OZF2usLrxwbLpjCL/zW1WW6ee+U33nGsDYuoTnHDNW5t588Nril1V7g1vnlfsZm/naM/952Zfff3FZsZs73nznHLsHSmfO9GVh/sAOaLMtYN5zSswI0AXV/Ba2J5QvWH/swrJJV9WuGpw98yeILpv4E7t+CO3ZtmrvtIoviN9KdjYXieR51ekCbZXugvPM1+44UpnuOMwnTz8E5/ZdJbzpBQT7KusF4+xVpfs7IXoqtdOaPQH6b370zkMK89yE1JQXiqtCT6gtLGfbgvat8py6vCfV8GwsRNgCemG68D/hum0mQBeiq0C/9VP33PGxT376vXd89p6fmb+V5u/liYGJgYmBiYGJgYmBiYGJgYmBiYGDsXCfIJgPwcTAxMDEwMTAxMDEwMTAxMAbAfqXL3/vhQToQDBgVSrQK69y5zLmWHt2YZfwVChaABs77wZkKrv5jeIXiMU5IXNaegMlgZPbHOuCcxXlQnDV1wnU+a1Fd4J7QX9az6vMtQ0V5wJG86dr961aWzitOpsyqq+1e2dsgniV4ey1hF/50J99beVEBwgDoDknQNdeXTDNWFKBnorxVOtrAc91yjO2eraX/7rKeH/mntfWnj7TDs+La9xbAPbk1aWi1+adcuaTrzbbWn5B537G5vh2wYFj1mJfC3XuMU+9iwToh7nHga/01cUYzr2LL3JLS3dhvABX5TttA8GNPfbGL5vz5yIL+yM8pw3OqToHhqJCxwYb9TkbMAsYDgRDif5vv3KpytAngDnvm+pz3z+hOFCYe1VHCyHNxe07Z4y5iESLd2NbWF2g+alXXv/ytb/dqd6f2UFu6gXkY9/OffSbfpIDHQt3xkqbzA17rdnTAcK4Z1zGkd8VleRcMx+7TgTsHbvqdUC0SnrgtwtxrJP50DpdW3ZdIrSId8y+h1qcC9MX1H7oyu7ZAajbtr1cCxp4C9A5r+OATgA8H2EwdQvU/b3ym3cd22vmTudYlfchuPzgxRqrsN3FGqnkVuEuQBfEH1K1h416WsaX+rwBtup5yuWYVJxTT54XpFe+9rB6T5t5FwBo9V797/6qSneBgQp6wbsLEdJKXrt22014rhJdm/at+lvILBwXTvs796k+3yrF05Jd4E2bKtAF3P4W1me+831W7trGb23fVaanjfs2B7ptcQ5gLkD/xD2n/ksq0Aegz9/C87fwxMDEwMTAxMDEwMTAxMDEwMTAwU9pDia4JrgmBiYGJgYmBiYGJgYmBiYG/ruPAdRnAPQ7H/32kwnQVXEK7dgE6JxTCSoUV3nKNdWhwmbB89ZivVTNDc2EoIBSLbG5nnbvWo8DFTnGPrrUqU/s7MxVpKddtaDbvNzCXq6b45u+mDtblXHmDhfymie76j27U1Kn9bxAXMU2QBg4aW5xFeC2X7bqz762AHda2JsHnHsZZ14vVXgcC/oF+OY3r/4F/LWuzK3unGsrr/JdFXqCeW2+VZpTlyDffjuHlDXHNWMUhrqAQVAvKHVOVItTTlgvYHchgakBBLTMtwr/avf09aVIVyFvfPm7bNp7XoTvlYag3Q/shxb01iW8dQEAY0pAL4AFDNa+legovNke/Nq1AoJAdSA1YPoXPvV43eu7piKaY/OP0zfgKQCWctppazmeCmtdH9y7yEVFtq4CqttrYQfgvlXugEoUyli4A9YB6Fq402+Bv7nlayEBCu6HdjCaenl2WufzbDlH3SrCVZFX7vBHry0gTx9TIW/dqUynvOOiXr83BaUboJtWgT5ove7CB+JNiGwqAcoI0ClbedTb+l1gnvnPC+j2NdXSPJuCw2FFrkW7YNmc4wsWNzBX5Q4YLlU7kPrep+uaKmwBdAJ17eC1cwdUA82Fz95nHfQtVezmGhd2C7y1c9daXpv4hOFsjkXVuUCbPRDXuugT9zkftKNi3j6tsfZCBdXlgnvnzPzqqt0ToKfqXJgurE4Ft8A5AXlu3pMQ3TzmqrwttwXwlkl1uZBbVfs+aL61hE9lfF7b2sRr225b9o9rP8rCfQD62//312wzBxMDEwMTAxMDEwMTAxMDEwMH79A5eNs7MNvMwcTAxMDEwMTAxMDEwMTAxMBbkQc9Abo5znPDylmFqrmVhesALVXkCRfZVKqbR5xrwkkAp3BNm2wBrLASGJawWUv4zL2uUnlZgXc+ba5Rr/cLkmlfC3ft26lDaC1I155d0K69u5CW9rXaTlBbgLctxalDC3bKCrmF/AU7GzgLagXBAnAt27UYF4KrwBUyq/Kmbyq3qcux2C79yrLMlwp7y5jzvRZEtOLdcS9F/jO7MQjh6Zv302/mCht09vTDGPGZaa/vXLiIgOfjfbSrDbix4XPIPOeq3p1LLdwF4MJuAW8t0Dj2/CHFvfnoS0195uXX7/j692ujrMp/F1/QH68JebkG8KR+wCCgORXFwHMs3AHVAFKu3/nFLxXMwsYdKA2wBcIKE2uRyGP/b4Fs4q3Uy1/8Rr13HgMknUfOa91uigWfh44RnjO/OOcpzztNXaVAb2hpjGLnDugXoDOPjJut7NtP7YA451kIYAoF9gX4W0VOTAJlBeI6WAiyTRMgEC8b/obb1rFVsZsSwNztLqjgm6O9uup0beZVsacFvjnQeV7OiXnDa6x9r2XWPeRIDwV1gezOW851Ve4JihMGpxqcczxv6sYqn5gwn7k5zrVs1249c6LbD8ppby4Qt1wqzlN1DpDOPOPGgGp4z6Wi3PzoabMOrPVeILo54u1/WsVv7dqdG+tkEYe/hevCfoE/e/qjGl0VOgBZFTq/VW6rAk+QvgXZKtMF3VtVukA8z2nfLnhPuG1ZFez+BqZv1eMJ4tne+9H7DuVjz/LZlucZszbwgvwB6PN34vxbYWJgYmBiYGJgYmBiYGJgYmBi4GAA+gTBfAgmBiYGJgYmBiYGJgYmBiYGfnKAfu1bz//Sk9f+4kQCdOEUYM086AnQhVgr13lbePPbXMZCT461bhdwq/YVPAuhBd0cA+O0pVaBLKzTxt1+cr8gXDCnZXPau6tWFjqan5s6rU8VLOpxf6t+5thFA0BmNseo2h7AjbW3MFwYr/28QJZzqQbXIlzAmfB62cafv1FgUUtrN9X3qtqF8oyDerRAZ6zA/Mwx7fNWIW+dugSYP925FsBbXhU3c+pz0lXA52t8cL/9yJzpf3T5b5Y9usp1wbdKYurSDaCUxp0/e6UP6H7SH+ZfC3a25Wpw8mrtdThw4YRzTDnudUzUL8znfEH0dk0AwmNnvqD88asFSYHMAFBtudnMgY6aW7gL3Pqf3/9/lwKd8sDoAp0NSZdF9rEL9d7xnACsWnmrENZOX/W57wbt0DeepTnOGSftqKSmrspZjhK5FdWAS8pXm2evVt9Rwf+T//1jlYuZeTePPM9FlbfK/pqv/kboPOA7qesA/dNq3e+IFuxerzKndmpzc6q7SCDr5JxuC2Vnf/Jq3aPFOX0tiN4g3K3geAN0c5zX+B+5UvNsvDNHOgr4XKiX+kuN3/cL4YXrPkf2gvVS9z9yZS2UoF7GL3Rnvgt+RxxRH321Da6p0tZK3TzjqtgFy5znWBv3tHlnrwo8VezOTdarjbrnua9Afdi6pxK9FPkndgsGzC9vfdbDHLMJ6GtOGtIzD8RcKu1Vu/PepPIcSM5v7dMF5+YpF0bf0vnKtULf5itPEJ3AOnOjZz7zBN1sQvpUjG9V7Ful+z5473Hawm/heZZVDZ/W8KlMzxzoKuNHgT5/K8/fyhMDEwMTAxMDEwMTAxMDEwMTAwejQJ8gmA/BxMDEwMTAxMDEwMTAxMDEwI+2cAeg3/XYlfvu/eqL30sFetmjf+XaoTzoql+5nqrOVIWy13K5QHlDcxXGAC5huqpeQWpaYwtNBZlCX0Gceb69nsBVZbWwN1XnKmQFrwA2czmnOhfAbQ5u69C+XQtpjwXIAvW0rK8FAw2M7ZMW6dqkqz4XWgNs02pelXfmDjd/On2kXtXzqsFVny+Fd1uWq9ilPdp37lOdDATN+sxl7jXbFvALql0UYZ3ao6smdp4ch1bbquoBgDwPztFHXQoqD/VDV9YYKMNv59q5sl6ANnnMAdwo2lWra83OxvWy8T+1mwv7rgJ+jSvil2t1//FLBYsBqdrJA1OJI3NjAxiBlkBQwDkAHTU37xGx/NiTl1///InHC6J7L1ATcFoA9ePHauOcsQVYBHQCIrXfpi81L22dLqTmXVW1nUCadlRmFzhta3Le5VLGn7hY/QRgAi5ZcEFf3/XuX93l1z559ebz6EUH7J2HFTPxnqS9PHvht4thPM7fqs89po/mL/f7UvD94ed3i1LO7RTijFFIy3NwfNbvuJlL5ilzkpcS/vil1S6Lhla+8obcK3f3/ReXelwLdnOGqxrnvLnQBeF8P4XZqsJ9nsw5e4F9vQsN5F1QIShPgL5s4jvHOMeqxIXlKt7tu9fMzc59nFMNzlgot/KZP/DNijHBvwp0obq5yQuGA89b2S5kF467KMT4tQ+q1ilbaQtazZ4qeu3hLQcQTliushyIvgXo2qtnXvGE2PsAtXBagJ4KdKG8gPxXPnjnyl2+D5BvFetuKNG3inTt3i0vEBeq7wP5ji0V7cyB8Nwc6AnQP/y7n/g5FtHN30jzd/LEwMTAxMDEwMTAxMDEwMTAxMDEwMFYuE8QzIdgYmBiYGJgYmBiYGJgYmBi4I0K9MevfPcPAOiZB9185wJ0YBKKQWALIEVFp7BJ4F4q63M7+GUudZXlmftckC14Nde2kJP6tRq3rApkYW6q2gW+qSrWtrpALeCv82uretcSXHtv+6mtOZsgWDtsld4FzlvlLkzn2PznqeKmDdrC0p1xqkZXzV73N6h2DKXkb5tx2zcvun3QIp1+Vd7rtjmvhQGt4Keciwwyl7owX9X4cgVoZbfz5jmt0gXZlhPaUmeB8q7f3OUcA1lz8YKW/z5vlfPmEi+F+PFLSxku9NY6XEv7fPbayasKV4Wu2lyLcPdAe23HKZ/W87nwgY3+rdQCnWNdRbuLHQp2ntxBdUE4YBwIqQKd9wggDWB84lsv1QZAp8+quQHulWP63qdfv+WTJ5c6nXjhHSwA20BRxT73GbMqydlXPu6TV5eNvi4O9FVFsPVrVw6Ao19AN+qhv4D+X3zf71e7h57R6evrPaQdQO/Kt04sntstRPCdclGE8ea3wXfJxSuq9HNhjrnPhe/UZxnbddzM0cqt3qCdb9WyZT/xQn3XgOil0O3FQNzvwgPjX9W/AFw7djbqFWJzD1BXq3XrU4Vtnbdx7gAAIABJREFU31SlLyV5q7O18C8wfu9O2V4QuxXgqP8F0AXuv/iNOidYF4hrka7VeqnXG3QnKM8c4pmXXOt32kiFuf3X2r2g/LELFcvarlu2/jtxYgf1VY97H79TQS70917qFcJnXnbKcY+5zs13DhTWuj1hsmp0zgm3t0Bd2C0gT6iedu6pIk+wbnvcTxtslheMJzy3viyTUD3B+L7z3utCAfbYvLOpqBfyMy8J0M2BPgB9/gaev4EnBiYGJgYmBiYGJgYmBiYGJgYOfspzMEE2QTYxMDEwMTAxMDEwMTAxMDHwjgboBX0boD/4tWuVCx2Ax7WykG41p0BLK2fhtuDK/MsASFWggtnMcS3c1f474XRB4LCBBs5pK27OceG3ebXNt60yWYt3VbICu8zZrEJe23fzlAtq0xK+FMGdix14p625cF3Qr0Ja23at3anbsXKNvgGRVde6eEDAKJSmr7QHjNdCnXZVywuJUVirzFaVraLfxQjCeGE+1517rjMXqrrZOx/aZHMPVveq57Xht10t5LVLT1W5an5BOcAO4OmCBp+jeeUF12UNj4V3q/IF/NrW//Yfv7jaYw4Kep+8ulToXPPZaPHtAgVjEbhue+agr3nt2BAiA765Vgrkh67sVOQNvgXoAGogNCp03h/eJWAgecVVoFMfbVE+N+pyX44IQN8Lf7rLed1wnHa5l5hxHnVVcD6NEe5lXAn52QCngndgJfCSc9rGA5kBbwBQldGMnY36hM48T78BqItN5yAY15GCmDC3OVCX+7lHlXlau3uesi7MqYUf53bfF75FHLuYBwBNG84NG30sFfrDzy/VuIp17lHxnd8orpkPveZaa3aA7v0Xqw1V4NRJPxKum7ed4/xeUrYWSPRmPm8V7daRtufapgueVYm/oZ4HWg3etucCdRX0AnShP8c6DbgVwG67eevRll0Yn/nVPRa2U68xI1hXiS4Qz5znR9WdediF8KrPORacA4fNdW5ucGI1c6CbgzyV424J0lMVnrnKjwLZXmf7pd/59CHYnsrybRue8/wWpO+D9ls1e6roHZ9jFaCzHwX62/931mwzBxMDEwMTAxMDEwMTAxMDEwMH/4PNwdvegdlmDiYGJgYmBiYGJgYmBiYGJgZ+mgBdK2VzIQP/hOgFrICa5F9u0OVxWrcLPlVhA5LMj6wiXfBdgPLs9xbENV+4IB11rXBNC3RV2CphbYf6VHZTRjiuclqVt+17TvBq3nBt2xMI2weAJlCS8pbjngToHls3wNl+l2K27ewF0AX+ug/CY5XjQmPK0C4AHWguoBfOez/zqBpfCOyeeeFewf1yCkDtffJq1eczdT4ci8pc87qn2l/Q7jNgriin+tznZZ9UFld/e3yUA3xzP3NlvnP75SIHFwS4KMINBXnl6D7xwg7Sn7+xYK+w2fztLixwUYWLFIwN4vGOr3+/crTTVinpO66F2/aN9hiPuasF3xwzDiA68LwA+rELBbeAXu++9Z7qh+pztgLTJ6/WPNhGWeb3u1Oq44bDLgypZ9hjoq+lND++mydzi+vEoMrdvprfuxTVbT/PHNpv3n9yoJdiGtV+A3Tzvq/n30pv85a7IIGNOOCa771g3EUw/HacKs+pV+gs7Hae6UstxvD704ptznNORTrHumZYl4sLfPe9rxZntBrdBUHCXa3fhd22KRRWCS5kdzEBdbkAQMC9VVYva/NWY2vRTlkhs8BbW3PrEaBrB6/qG2jteSG86nfPlaq7t4Ti9iXLeZyW627Wnf00pzp7+rS9J4H5Fp5Tlv47do5R22vdrrpchbWKc23MzUfOuVs+8rn1O8E059kE1Am+LZcK9ITolPF+62C/rUO4nud57/N81vHj+pfKeMaevwXnad9+lIX7h26/79WxcJ+/H+ffEBMDEwMTAxMDEwMTAxMDEwMTAwcD0CcI5kMwMTAxMDEwMTAxMDEwMTAx8OYBOiBVhbJqcWA29tMAdGCaikrhlHArAbmq8ZXzvG3EVZ4K3oW9Kp/TYpzNHMgJzQW5pbiNvNaWU61Ov7Vdt80EvsJ7c3QLsbVrT0As9FO1LmBXnV75tFuB7T1pO5/W8FqCa22uylvAy5wJ+ADlzBPn0/qcOrVhp33nZFnAtxJ9zVHbjTvXjq9A8fFLaz74rfre68B2bf1TVayFvosMqFcwWor6Hrd53NkLeVWqo7rnvKC84C+K73A2ANSa81p47vhq4UY7FwC7OQfgpSzQlr6oFgdIu8Agc84L47Vjd2GBMJq5whIeOM9elTz1qrAH1DM/tGNOc0E6EPrrL/7HAoe8R8ItrJe5Tr20Q338pv8q9QXq1GdM8Y6qHjdfPPOO8pdnYfytd+Pk1bqHfgArtZYX2APNeY95JkBXc4OzWOa5Gz8sNfHP/vIHdmrrzqPue+MiFOaBa+Y6F4w7jrreYNrz2q+7kEIbeBe/GH9+Gwqk92IFfmvRzj1l094w3HdfhXotNGnAL8xWUV5tP7yLF+rTHp3zqsKZV1XTWq9vc6Or6vd+gb59Kwj90JUqox28ixaExvRDG3ehdFmZt9Ld8yxwUEVODACYt4CbcwXR7316wWtzoQu3hdZAacaojbr3qwTPsgJ64bg53DPPusp2rm/huMp261SBry07c2be9Vpg0FbvAHSBOiBdiK7KXFvzzHHuptW7ym0A81F50YHWAnBh+VaNLtxOkC5gz99bUP7Pbv3DBdA5TnV61pVA3rYdh9cE5Vq6m5vd81i2swHPeX8HoM/fwfN38MTAxMDEwMTAxMDEwMTAxMDEwMEo0CcI5kMwMTAxMDEwMTAxMDEwMTAx8OYV6JeevfyuBOgrN3XDKgAP1tFsAHQUtAnQtU8GTmnvzjkgHPtSsLeNOyBMuCpwFWxrLa7aOyGtm/bpqsEF24LCVG6rdHYDmAq7tWXXEl4FMvcAMbnfdoS9Kt/ZY/HtsTboQDoAblqkU6/W7oJzldhpq56LAFTfW2dZs0cu9Mz5LcxXncycA0mZY66Zg1wwrn08oJB+F9gOq3374dzRZxcTCEYz17wLDsx/ru2/88q1GmOry4XkS/nf0Fobdt0E3KuAr/znrarmd1mot+0554wDQDSQ3Hmlz/RdNfdSkTfMd/GC4+bZa9fO3jEx/8ylluXWbz9V0ANX6VfB1FaoAziB54BzxgwgBU6SZ5z3CQU6ZamL+n/hU4/Xfar8VXsLk8va/9yLBVGpm3uZf545bQC9aW/lr+9xcJ7rnBOg0w+V8irLzdmOvTxgkwUz2M0D0LVH99llygNTD+heYHoHF6S40EGAbq5yNuE2ccl9bMQzbbsgg/gscN1OF8xXWbY/dGUtstFWXRt2leumPVBdzlZ29u1qAPzV/t185EuJDvTt3N8FzB+6UnNkXvNq84vfWPb9QF/Ka8XuwqKl1G74zrj5LYSvsg2kqY9nUznJG9gn2Baes2cBRIJ1gbiqc+4X2h9SuTfA1sKfc0Js4XvarQvoy0Y+lPKOKxXm1m2b5ndnMQB7y3GcqnPrNYd7XkNFbt72hN4C9MxhruJ8C9ZTWZ4W6ZTZqrwTgG/vS9htmYTm//QD/3JBckF5QnPLmTNduL6vPsG4ID9V6eY8z3L2U4g+CvT5e3j+Hp4YmBiYGJgYmBiYGJgYmBiYGDgYC/cJgvkQTAxMDEwMTAxMDEwMTAxMDPzjAPojz738W3c++u0nAejCLAGVAF0Ax7G5iJfys2G7SlKVykJpFaTauJdd+NmdsjRt1wXCae3ONcGzABgYprLc8qqGsy1BvQB9wXmAdAN0YS+wVaAqnNYCvaD82Z2aXZhsfm+hPedRU9t32gMy2l/Ks6cNVemAWKCvUFpALvT3OPeCdNpTBQzopm4t4lXea1XuwoOyaG8A7PhdCFCLH1oJLpTkHgC+ivSEos6Tz9A84C46MO91PY9WizMfQEafq2p72s086gXN27nAHNaZw51jYHe5DkQOdBXmXOM+xl9jalU6Zb1mG+ZKdwGDc2TucO6hb6rO6T8qdPqgArrm4PilBVHNrV5A9f6LBbRRclOG2AdOAqnZBOgu3NCFgHkvy/XuuwsWeN94FsJPLeiFwryjbJWrvC3cVVr7HqnsF/Ln/KDqfezJywUqqZ/3HQXrL77v96uMscrcufGsS63diwpMocBzcfFGzX0r6x2LDhc6CwjwdRvwGt8MYO2yXj9/o8oZcyrwVZjzu75RrehmXrhuPV4vKN9AnHO8P6rRzZlOG4BdHTNUiFuGzdzwnNfufVmrP7QDxkLuhO/awadtuhD9UE7yUJcDuwuet7Kcjb5Ylutpp24M0r9Ur9NPFeWcU/GdbaiKdyGBwJyNMQjTE8ybu7zehbvOL5t686/XMzmxG+dSwofiXgt4+kMsCvVVofPuaNmuTXvaswvLE54nIE+1+NZuPW3aPSe8zvPCc0C5xwBw7xeUC9C3cNw689pWyZ5t5u9tXvS0dE8Ld23chego0Nm0cL/tc8c/9OHf/cTP8TfA/N00fztPDEwMTAxMDEwMTAxMDEwMTAxMDBy8hXMwATUBNTEwMTAxMDEwMTAxMDEwMfCOBujCLsAHsAmQpsIVEGVeYVWgBTq14W5VufA8FefCMS2XCz72fcK5yv19/kaBOe/nWJC7LJobnqciPe9PGC0INze59wCBOY9Vusp0fnNNIG/fbd+NcpwHWn/52t8WsAXCUR6VOnVTzvu4JnAGkGo9bs51QXLBwAbFeV11Pecdk/0yxzXzKtC3XXOPC1udU9XEqtBVxpsz2zniPPMt+C4VcdjV6yQgTKW8IFwFt4DaOdby3PGZ650+CnkBd7a3Fkd0Hnit5yvfeYN1zmmtrtJca/ECtFqkH9/BWhXyHGuR7gIF6iwL+vM3lgrecgD3mgPsvS/+ZUHKyjne19lTXmWxUJvx8v4AAVV22x9U5trdk3udOSCujD/fKZ4TLgOAStTHxpOwnTZQrrOvfrTym/uJCcrxTDNHuupzNuCpynTGUm3dfbJyoHNNMF5ODpGnnL5r7W5KAWPR98S51omCuviOME7myv5yP/HmM2GeXaiTNu7WUQr1szu3DFXtfLOYc+rRwt0UEyrAKVOuE8TQqR1UZ6NMOUi0Onx96xr6qm5PNbmgmWsFjlGOP3RlgXXLqsjO3OnMa4HvyE9uWZXZCZiF6uUc0NCe34JvLdMXxO/2F4i/v9X0kUs97d9Tba5inPtVkgvFE54L0wXpAvZVR1vBm1M+Ve2OMXOom/tcYA4E5xiQvs11ngA9obpAXYDO8RZMp4W6oHoLrQXfqQ4HnrMlHE9w7vVtvvS0bletnvclQM++JnzfLgRQcZ5APa3cB6C//X9rzTZzMDEwMTAxMDEwMTAxMDEwMXDwP9AcvO0dmG3mYGJgYmBiYGJgYmBiYGJgYuCtiAEAOnnQAejauJctcdtXqzgGLKlCB1ap4AQsVe7gtmUWwAu4Mm/2obzVDQOF7CpVgWxlUX6u7dYbtFce5XM79e02N7lgVninqjxzeXMNKCzQ4zd71eaC0sx1rp29IF6wzh4oZxsASwA858rqvCE+57iuujVt4RPObu3iVdtzXeVwWXe3Jbvl6If22UAqyibot38qbQXygtRUcNcc93NSMa99dtm5P7Oz01+OAmd346EM4xPEq2o3BhybSnOfmSBdMC7gpo8F0VuVLPBX8Z3KZzf7I6ClHiC3ccfYjS+V8BVn529UncL2BdzNw95jpE5hqJBXBbzjtu9lqc2CkobnQE0U6Bf+7O8LRgOLmS/ynwMEAee4EKhAp13huc4C+SxoQ8hbILSV+tr8MxfcQ0waO1wjNl2wwjxQt6p559AxAPaBmJTXfh6AXnm/e5GELgWMxZQDWqmnpbsxuJ5xA3S/D/SV2DVnOPfrZmG6B64bZ5xjPnSzUMWscp1c3n6fVLGrHFepruJcBbmgnPYrd3cr46nDXOnlrNH5u1VUC6VpT8hunamQd6yC66rj2IWVo5xNZTiqfwA1809ZYbzXUWELxdnThqA6leNugnlztrsIgba3avNUw5uvnLFp1+5CAcpQl4sG0radcXFeEO69gG/hPNfpb+ZWz3zrwnQt21ONzl47dgA688FeZbZQeZuzPKH5FmJ7r7A7955PO/ZUn2vDntCb86ku3yrRBeUCdEH7Aua3febQOCxrOzmezNe+D6YPQJ+/E+ffChMDEwMTAxMDEwMTAxMDEwMTAwcD0CcI5kMwMTAxMDEwMTAxMDEwMTAx8JMr0O/47D0/A0C/67Er9wnQhbhAqgJsAOozO4DOJqAS5GlnXJD90qu1197dreB6K8aBdCrHtYrXTp3fQC7aUQUtxBfop6rcXM8Cbu2itwDd8kJVoTgwWfgulBZMV/7xAO2AQsC2FukCec6pEhfGaxvvuOx/qa0bnAt+VRlrY26edfObO85Ub2sNbx/pkzb01MexYLtUvKeuLVAr2FTJriK4gHTnddb2mvtU/AtfAeH2U2V05qo+pIiPHOzOtc9K5bkK8wTVgGVhOlBZMK7FvHm4SzWvjXqr3FVXmzfd+LEvWufXuM99t8qmW4JtOk7q0Epeu3UhvNb2HFe+6bbWVoFMvwHn1//i72qPlTuW6AD0Wz55sur6o8t/U3MjuOcdAlwL0Zf9fyvm04bdvmcOcvYAdOG7Nv6ZooD3dtmsN7hH+Q6U/csf/KDap54XvvMfCqhj4a79vs+sFs6ceOHmIpS+5iIK4o92Vag7HzoW2G/V7+Zyd0GH9/A9Ud0tzNZOnG+RNuACX9wy2JfSuxcCqWLXJp56+MYIzgXftqOdu+0J9FWhA5Mpy7PmvBblfgsFzBynAt385UBj84wDsYmFUpW3alwA7TkButA7c6Rrx851rdhTXW775kI3F3vWm2p1+6bluorxBcqZ+2MXbp4/dmEp0AuMh9re3PHenwp37eadD4E6YyC3uXuV56rPhedatPtbEO6WOceFzp4XgGee81SPb/OXp1I81eeWzzzn23LbHOjbc1n3Uprf9plDtvJ5bQvKt7A987gD0LVvZ6v7br/v1Vs/dc8dY+E+fzPP38wTAxMDEwMTAxMDEwMTAxMDEwMHo0CfIJgPwcTAxMDEwMTAxMDEwMTAxMD+GDgKoFf+Z1XA2Cp3LnTUqAAtFZcea4EMeBKCqWgWlAnVCnBduKlIV7kuhBNiU1fCfBXiQrq0d1dx/a829QASBdClhD59fanMAX8AyoTMqswTuAsehfNAOW3cbcvc5pVr+YlXVo52IaaLByy3rM9RHHef6SswE3guJBfkc07wbP3WDXgXemfudcYsJC9Aevp6gWmek+1zH/X5nMwR7iICYagqY8polc9zto5S6DYwtT8C822OeuF62Xw31E4nAs5pN595wZ2vBPm5CEGbdXOkM1ZznXtvAvHMj26ecS3PU5VeKu9Wq6dK3oUPBSZbXV127q3yLUVv50AHoJPznGOA4BPfeqnem9/+4xfr+ZICQAcDYpJYALgzVy6O0Nqc/puPXqjMfFJW5TV1FwRmEUWnMzCWOA88LsV1x5jxD6T8/n/6r9VXQCgA/UtnvrYs3KnHhRkq0pele/fPd81nyuYiEuaDeadtnSucfy3ghdp+FwTcaYfOJrgW0qqQ5vuS57X755xwG8Dut0r1ej23UztFfbZLOdNWqKhO9Xrlf+9nrhOEedKNg7KeT4B+/w4mc15luUpwwbZW7sLyLWwWeNMn71XZrR27bQrMs27mRyCfVu8cC/eF5M5tKs1te1m5k//82IWlUPd31rMdH9cE5CrpWWCSwFxbdlXoQnOvCcf3qbY9TljOsUrwBNvC9X1QO6G5e9XsWxv2rENYnsB9C+ePOp8gPe3kc4ypNt93nTzoaeE+AH3+Fp6/hScGJgYmBiYGJgYmBiYGJgYmBg7Gwn2CYD4EEwMTAxMDEwMTAxMDEwMTA/94BXoB7rbYFoZr4S6gUoUuTBKA5m/VwSqGgWIPfu1aAayCcK0aFq6qPAVYqRYWMAvpVNlqQw4MFRjT74Ls528UdARCCoK9VzgseFf1LphXtSusNwf1Nh86oFOFedmco75/6pVlBa5yWKtzLdi1fdeOXUjKXjCszbvjXrbrnSOa36rrOdbG25zf2sy7SAFLcxTG5sv22aYqX/CsNbkLBOxbKcGPX12LDMxH77xmTnWPXZygrX0piruPXlcdrqV8qZJbWZ254FNB7XOwHEryguHkN2/ITXvmUNe6nWNt61VEA71T7a4KXYgvWE+lNHCeayunes8bcFA1vYAUCA2UZs87BEgEUN954mKVIxYA6MSqNu9sHHON981FBzwL7gcmu8iEd82YMn+375fvlQsbiAneWep2IYVW8fQV0Ek/zUFOP9l+9pc/sIC38WOOdhdAuJik3o1nbi5AYe7oG3UK/rXoN0UDxzwH6rYd+uM7qfK5HDGAwvc+vcCt5yhvnnPGBvDVwl31uN8mLdi1b9eivHKyP/PnS2XOfLDnGaQiXEt0fnvsQgbei4LcvRCA++rd7fLm+jb3+RZss5XFei/A8Jptq3q374Jw849bTvBt/4T2KtCXQl2VetQv6LYOrPHNf64yXYV55kLX5r7aa1X8Ns+6ZagHIC5A55oAnWOhuTnNPQacA8DNf87xVn2+hclba/V96u8tBE+Qvb3HfORb4M72v/3ObXvPeT7L7Nve/+Hb39Cnbb+2avO0cM9rPw6g89//+Ttp/laeGJgYmBiYGJgYmBiYGJgYmBiYGDh4C+dgAmoCamJgYmBiYGJgYmBiYGJgYuAdAdDZtgBdyCwULXDcCmcAOoAJSGUOdK2PzYEN9AJaJRAX2AojtUZWUatCGNBLW9SrHboQjWNV3glrhYRaW6finb4C9FRCp8LcugSMVa7HAGwUUKqops77n33tUA5ylepAbIAie8epsltgb15z9uaopoz1aMeudbh51ksNbW7png/yq1MHbXp/KfbbHp45pa/0R8ALZBYmq65WIUx5gXHll251N3WpgOYaZVw8oK29CwgE9xU74T5gDPG8Mw83dQmGVfGrABd2C8Ptj/1TpV6wta3a7R8xxFjv+Pr3l3qdY+vXMt65cKGE+c15Puypx1zoAFvfA+zfyw6f8gHRC6q3Db62+GwAaAD6I39yvcA1qlxs0Uupe/p6zSM50pljnynzwjM2bYKqcResJLBlXpl/0yTw7lC2cs33YgbKUbc2+1q4cyx4p132Kq6pD5j+2JOXC6CTn7ueT1j8+175zps7XKcKrnGe/gBgVaMvxXir2StGj+0AN9eFx1ynHmG3Y68FEF/8Ru0Bs0J3+2/+d8bv4gAV4fRfi3TnsxTv2LN3vnTGx2/jFoAsKNaSXHV52cd3jvQC920xn8p02qBNLdG3ucoTMGc+88x/Xpbtd391QWhV3ZQHQlu/MNpyKu8F5Qn/7We2o3pd4M6cCsdVk1e9J3YQXNW7tu5lKR/1pZ28z13wbo5zoLg5zrVvT9U5Fu1sqs61cBeeZ57w3Kdye5/iW6jOfmvLvrVy/1Hgex8g9/f2WpbZtuO5hOeo0LdQP23cE5ybF/3NKNA/9slPv3cA+tv/d9hsMwcTAxMDEwMTAxMDEwMTAxMDB++wOXjbOzDbzMHEwMTAxMDEwMTAxMDEwMTAWxEDWwW6imKAnABOcCgYqzzoF/50AT3tu4VUqrlVlqpIBkIlRBVcCwHT0lvolyC/IGIDY62krVuIl4pmwa724yquBbsAS9oXBqaymWOhZYHrVqK7qe6lLcajBXvalqfluLnS7ZfQW8v5UvhfenX1E8t2ylOfsJt++FuFuPdoR+/c0Cb3c4+5tfnNeXPQA6VLkR0KcO3OtbsXINKWY7P/QEvV5cLTbR55Yb5AWfW886OKfs1vK5OF+/S1cm+fv7HU6ObG5ryLDUoh3rCdfrvQwfYZfzkenLxZppwFzrxcc0f/vd9YWmC9FyBo8+5CiKqn211W5MevVl2qpAGH2Lbz3gDP2QMFAXzv+b3jBd11SmD+uC58FjqrqjYegZfASebf965ybj96833zefC7AHar2um/9u6C4nIx+NquDeAn9vIukkkLd/J01yKGk1d3CyZOvLAcGFSSM1/5TXDhjcCefgrbeYY+77LHR91P3wG1rQqv7wi5zFt9LqwuiNvKcgF4fW8asrMxrsrRfm7XBxcPMG4WPaDSZ64rLhuqC4JdIEQfq6+hNLc/qsutl3a4T3DOfQJ2c4uXqrvtz7fqbPfaqwu4M0e5luuqvAHQWq5bn6pu60z7dPtD/zhHjArrhd2CcsF/qs29bkwC0bVpp13boh3nij2q8gXauy81zmMXFiRPeM6e8gBzFehuvDu/8sE7DwH0tDBPgLwF4JmH/Cg1Otsvvu/33wDMj4Li3Cf4znsss095fhRwt919qvOE6oLzo2zrVcgPQJ+/E+ffChMDEwMTAxMDEwMTAxMDEwMTAwcD0CcI5kMwMTAxMDEwMTAxMDEwMTAx8I8H6Hc++u0nE6Cr2hZ0V67sr1wrFa3gHFtjzgnXVWGWerNBeSlyVTV3HmGVqNqLC72BeubbVklecOrszjacPgEaAY6Cc9XNQtq0n1exroW6CnSBr7mmvV7q3c79DlTV3lq7d6Gq9aikFpBrq66a3Tzayyr97A6+mx9aaKzSXeBc9u3PvlYKdK6jnq481mde3OVJb7t1le/ao5vrmvKCZcahKp36BcgJl0vli606sOvk1Tp2MYHz6lzRHgC5lKzkv271N2W1BHdRgup8IKQ2+1qAF9TuhQeUTbW68UI7pZx96Mqh3OcqyVUdF6w7uVOAswGxfYaOt+zZuyygFnW59alI18Le3wnRrYPrlWf+xAv1m/bsX1rBAw213QbSPnfjhwuOAwaB1CwoAeRi3878CmHLmaBtyIXPgmDuF1gKzWvOjl+qZ8N5ldyM1zpW/U+9clPljc34Q1cOWcNzDrU8/WOuAOgco0AvwNpzU4tM+p0v6P25wGjSAAAgAElEQVTotYo5Lcz5NmgtT2xzTteJtJ6vWGhVuNBd+FpwHaU0TgGda524M5d6uQn0PAi1uYdxmIdcZXk5JjTgBvJynn7w2zZUYzuvgnlV1ca8IHoBYvrRedGF/9knyzJ/QmYtzhOcq8jWTj0t1oXn7rOM6nZt3IXogmzrEFrbHzbt3Ctv+v07Vbhx4Jgy77nKewG8kJ9xV/tdRkt8jx0bG2U8BpS7CdDZA345BgYD0dlUXAPMAedcA6T/KIi8L8f41nZdy/QtEN/C7aPAeP7Oc9TruWxDUL695z2/8aFDv7fQ/FBu9E3Oc887H9q6J0Dn+J//wef/ge0jf/iFh0eBPn8zz9/MEwMTAxMDEwMTAxMDEwMTAxMDB6NAnyCYD8HEwMTAxMDEwMTAxMDEwMTAj86BLkBf+azP7mCyMNO85AB0wTlASrtkwZ+KUwG4m6pfygnRF2RvG23hqjnBzZGuGhcIhprX3OPC+bIkb5CeAF6rceqjDtXeWsKryvWc8Ne9uZzZMxcFoxv2AytVTntv5jtXLV1q8fM3Vj+xFlelzXmVxeYTpx0hu+eq3BOv1Eb9wn36UbDy8l8fWpDA9bKd77ZVb6vULjV2nytb+gbVdb2V2c6JYxPWC8d5zi4mUO3s5nNljMJPLf2B3pkfXahZubGdszO7nObGl1Da+azn3spvoLX5yQXapQBu1T39qDbP7izXzafuPGgTn7GkEl3VvwtJOOe74VhcHMA80JeC+oDTVsgDPLFwv/4Xf1fvDgAcuAmkRvX9G3eer3mquH5mt7BCRbQ5vZnvsjNv5a+24zXOU7u5o1/EAu0a375PlVf9mV080Qfro38AUOoD5jPXQMu//MEP6h0HsALQsZv/+V/7YC0IMG+50LyecUNt2iJGtIPXPp72zKmuep33X6gu7KcuF0wkXGfjHgG80LqAPpC886U7Fyz0YEyc0zJe1T1zKNx2UZDAXEt22zN/eNnZA4gbPKuGV129LNEDnJvj22uZK5zrlYM9VN3C7wWl+5xg23zpQGdhteWE86rNKQOE5rcQWxW5KvUac9u987tiNhTvgnnBd45RC3f7aq50+6xFvcr7tJQXoG/BOXBXe3b2gHLOA4H5rU27m7+357eq7X3AXGieAH0LwYXoR6nIj4LgCczd76vfsltovlW27wP/W2iecwJAZ3FBKtCZYyD6/3n3yZrXAejz9/D8PTwxMDEwMTAxMDEwMTAxMDEwMXAwFu4TBPMhmBiYGJgYmBiYGJgYmBiYGPjJFOgCQq25AYqZ29iczFq4q5A157VKcsoXCD317XVe0C1YUz0rhDxk297lVLEX8H5mB3LLsryBuFBYK3D7mABd5bMwTcgtuHasqu8tw9goAxRUkS1cNke6vyvfeqtcuafaPPPygswqrAXEtiWwLjV9L1qwb0L6UoefeXk5A3hOyE457bNVtJM/mzK0iR28z1SgnqCe+wXmWpi7AML5TjW5YLba6+eu1b8wVAt/leeCePOMa99fULPzYLsAQLWxbTD2UpUnPG8Ybl0qyIWhlNeNANhpvvRyPDh/Y9nrsyWY9xkJyzPHt+AduO899IN6gdGoyQtKA8/vOl9wHOgJHEeBDozWnQGofvfpZw8B9ALYD17eLcDo+Fc9XmC5FcGVNqDttVVZE3f0EdhKTKgM117c3OpamQt/OabPtfABKHrsQkF+rLm1OCcHOuAOAJr9Mu5VWruAgjpdGMK1VMC7MEbXCkF/zWvbrqvCFnKnlbiLCti08tfmXeBuzm7GZ59ctKMy3nzpnDPXegHfh64sq3juox7uSfvxlYO9ldXatfs8qNe986yCXUheCyAagqtG97rtaNsuIFdNbh32xXKpErdcuQT0vAnNtVmvZx/3MkbPcT1zlduWkJ0FF2VxH8p2jnVdcPEIZTO3+xaeA3jZuKZFu7nPgb1AYK3agcLsVZ9nnvNUZG/ziicMTwv3fcrwBNlHwfXcEoDv2/Yp1L3nzVzbjoXNsTonmf+dc2uRwMfvLXDOPKtAT4B+2+eOf2hyoM/fyPM38sTAxMDEwMTAxMDEwMTAxMDEwMFbPAcTVBNUEwMTAxMDEwMTAxMDEwMTA+8IBfqlZy+/65HnXv6tLUCvrfMTA7u0eRagL2vohuiZ99jry9q5gddSVDfYFG4J04XPXEsIq0W4ymftuc1NDtgU2mshrYqc44SgAmghucCevfAYOJ51WI42M7+3UFlLd63lzVVedvAbC3dBuOp12tKqXbAN7CzVcMN/znGfwNJc6uZB97dOASqnrU8L97K272ebinrrVRVuW84ZY3F+AYwC5lKx97NzkYLjZzO3usr1yh3eiylcJGFecudXJX1Ca/O1C9h1LWC/cs3HQovKW04+7XOHleJcp88u1nDBAL9pu2zeW51P/Sw84J5yR+jFEJkPXQU8x7QDQF/K7oeuvP7rn36sjlWgsweiAzFRdQMNAeg8azffGx0NXJjBcxaCal3PNWGuqn/a95m4aEQLfiB9PcNWQZurXdW1gFQIS5sAdCzcUaBzLeF4vVu21UpxF504DhfeODb2fifsQy1MaOU29wibjed6dq0ELzV15FenftXgKtSty/rduO5CA/Orq6wWqmvHLqxeEDls8wXiWUYXBVXwqrrN+651PFupzzc50NczaYW8CnZzlgupVXNb7hDADkCfEF21OP2ibRXiWrwDvcmZnlbvQnZBuk4Bjt167auQvAA6Y2t3g2Ub3wB9qzzXoh24y2/V54LzVFazCZSF6Qsq3/aZQ6rzLQjfblul+I/bEpR7vE+lvt2on/Ko1S2f+dX3bS4KyLzqRynQmRu3fQp9AbqLFbYAnf/+v91/h8w2czAxMDEwMTAxMDEwMTAxMDEwMfCBd9QcvO0dmG3mYGJgYmBiYGJgYmBiYGJgYuCtBuif/epL/2DeZ8FlQce2hE4FuhAtYbpAC8WmSlsBeoK1Kn92Bzu1zqaNqq+VqtwnIDfXOfXTXoHDsG3XilkQXO00YDeHeeZHFz4DdlV5q0LXFt1c38Jfy3JO5beKb5XcBY174YHAWNW3bXBd2M79KMVVswOJrRvQKKQv8NyW6/Sf647Pvlb/W5FvW8JxQTflhNClHG4Q7SIG7nVu7EflNn/qlbVQgvsBms6n8DqdBVxwIKQux4CnXllqdHNPs2W7QvhUn9tG5mMHZq+c2K2I10a9wHvPlar1Ur0D3BuC64xAndq1Uwb7d/PIm4/ed0DQLjwXYte5Y88vFwWA+FLfto074BqADjxn+1f/7kIpvAHsKsZ53pRj7zOu59yLSnzHBPTOOdBVYJ8pE1TTC6iZa+o3R7cwXOBOPcw1gBZr+VKun71a/QH2kwMdyJrpEUyDoP2/Oc+Fyarl6YPqc99t5o/22LOZm1vIKwBn7AJxymltz3gpTx+Zf8szbuILqGts2j73CrtXfvTuSy4C4NnVMzW39/070Oxig4LorZgXMhvLtKHNuWr8BOeCcWG1lusCbXOOb/OfZw5021QVLxT/zX958lAudevQlUHrdds3T3zmQdcifuUv7zgxb7xw3TpSac7ceN22iRk2+i7IFaQLyNkDdrVqN3+3YNjc3rcEMN9n1S5sPkpJvgXrbxaC/yjb9n1gfbt5z1HQnD5k/7a527fHad1+1LH54o8C6O//6L9+CoD+4d/9xM/N35Lzt+TEwMTAxMDEwMTAxMDEwMTAxMDEwMEA9AmC+RBMDEwMTAxMDEwMTAxMDEwMvNG+/a7Hrtz35cvfe2EL0AWsKqYrt3Eo0IXqwnEhUgKrgnOt7BQ6cR1Ao500582VrHKZMirWBaoCetW1KosBrwV3G34nPOa3lu6HLMc7Z7Qqb1TgKtG1Txeccw1VOBtl6W/lGG+FtVBYGK+anE0AzjmBuudsNy3S7SN9No85e8GwlutlF//UTq2eankt4LXsVsHOvcuqvS3MgcKlbm8QXDnJza9+9jsF98217iIEAXcqfAWwWtNrG671P/cW8D27s2sXCrM5Dz5nrbSZY56v46Vt4PUCx/QBkH76epUTsv+LU7t58hmUevzUztK94uzsbsEDUFHQrKp8gfpW4Gur76ID1fFYuAPbKxZaAS7EBqCzMR/ML8coz8l5LkRn/EBq3hfaZR6A21xjznl2WroLrDnGNtu2VNuv3NsNjsuanGd64oWad54FMDjzzQuBVQs7z4BQ4L6QPy3cAeilfO7nZ59c5LEWM7QK3fdNQO4iHBdiqHr3G6BqW3t53gH66vsuxFWRzkaZVNDrgqE1uzHKdb9f7K1v5TBnMUZav6NC7wUZ5iA3R7mqb8ZEf3gmzBu/nW9BP/3hHhYlZC50AXsqz4XP9Fv4DXgWnutmIOjmupbopALg+Nc/fqzaynpdfCDsVzVu2o20pXds9IFy5loX+qcK3/k1N7vW7qli516gOJu27KrNAbmCXvdpw55AeKs234Jl1dpHqc732bTvg9xb0C1cz73q8W19W7Ce5Y+ybN/C/hwXivocv2B9HzRnbti0cFeFzhzzHgPPyX+eAP3jd5+6NgB9/h6ev4cnBiYGJgYmBiYGJgYmBiYGJgYORoE+QTAfgomBiYGJgYmBiYGJgYmBiYH9AD3t2wHo2mer7FUdLqRWdS6AUUksvOK+Uvc2EM8cxwu+NgQFFGr/nnu2gpkNZNP23Wv2ETjIdeGzUE8YqqW7dtNag7sXXAvPVXRr+y5oF/pqK28dKrY5p+pcG3wt47Um55o28Nqns+e8il7zgmvfTRupNlelLvBnz3XHKJD+8rW/3anbn31tgWTV3Hd8/fvrGWBTrgpbq2/uTyv1XCSgnTp1qdrVxjvzymtBz3lV3CqHfaYq5QvMdz2VMgDA3RDT+dWCXVDMefNVFyhtQG9edOzU2Vu/5ylTwPXUtXrO9AMYThyl2tz58h7aYizEbNm3dy53nz1tABLXtdPXqx3AJxboAHSt3AGeAPSCmaevr8UOxh57AHotkji3WxSiYwOQEijvO1ZK6rYN9z1R+U6fXNCgNbq5u9MWvIBpP0v6Rj+Bpfzm+JE/uf76u979qwV0dZ5wsUt9B/o941nkApS10OLUtYpR0zuomDbneb0PDZu1VhfSu9AmLd8dqwCYMXBsXm72PD/LGnsu8jFne+2/+I1Vjmsu7tFWXoAuIPZe+k8fKauFP+OgrIp285qzp65UlTv3Krsp5yIJFeHmPReg89xRmZs7XUhNHTwb4o9zQnfzs9cCi+O7lAGqxwXrjlEbe4G5tu/U55zQN9t17myLcytH+kZ5DtQ3t3najG9zl2s7fpT6OvOB5/ntpi37vhzmQmug9laJngA9fyccPyq3ekJwoXnut4r3HMvWun27pbrehQTOHRvXUOgL0J1LgLkAXQU65QXot37qnjtQoONEM38fzd/IEwMTAxMDEwMTAxMDEwMTAxMDEwMHY+E+QTAfgomBiYGJgYmBiYGJgYmBiYH9+c8B6AURT19fuZ+1SAeA7cuBDlgxR642y+Yn1jZYQOd5FcQC8gLBT750SJmsdTvXVaKqUk/r8KWKPvFCgUYVpoJXAbCAXhgs5BZ8lc14t+9vYTS/7UsqxVWgq7BWPU+9Am2BcsJ6c58LwNOGnWNziFe7bQkPUAWK8xwYk30RQApg2Qvd/W0u9ILIbd+uLb65zrnGvNHfvFZK2ob+AlrVzzxX3QJUm3O/duSol1UmUw7IBmzUQSDzRnOuYHSrhrV2FwgL+Ksucsn3QgzjU+BeSvUG2Ld9eQd2BemCeTfAdYHS09d3+c87pzr304aLP7R9F+qiUE9L91Ktn3ihICfgnnNaubPXwl0FOnCauQOGUjbt0JkzgTp72uScAN282AJegbALVJhH+k+77H1PuY86BMXCTy26hdRYy3/pzNcWJKXtz594fFm4m36BbwCQNZ0GfD99312o4LVlnd/Kce+zfwDbsmg/ddPBgnjiHp+9Y0zobZ5wF/PU9YefXwt70i3BRQfCcBXjXtMi/hBkb5id96loV8Gf9u1cZzyCZXOHbwF65jcHfnOfanCvcwyAZu51DRDIa7lufnHr0upd0C/c1sJda/aV370t6FXLp0JedX/auq+5iLHUQoSHn6/7VZuz0S+t2c3NrS175u1OII76WtCc4PzHwfOE2Fs1unvV3JnHPNvY16b5y91vYf4+5Xvauatu36deT5V6gvntuMz7nqp7lftAcwB6qtJVoGvhbo75LUD/2Cc//d4B6PM38fxNPDEwMTAxMDEwMTAxMDEwMTAxcDAW7hME8yGYGJgYmBiYGJgYmBiYGJgYOJz//PEr3/0D4bkAXUWydteZW1wFetq2pyWyCvQ63zbAgndglnmRVaYKrlJ1LezmWinfz16tc4BOlawCVy2e2YTQqobNoe0YhO/m5lY9TJvmW6ecdu0qw72u8tn6gHpap1ufcFslMW0CyYXswGzqpX7Oqd7lXoG38FqFNNe0ajcneeZh19LddsvK+8zLtTeXuvbmzL+W6boLpE2+oJmxCeuXnXUrvlUaaxku2KzFCu1KQH9ciFA26p1ju9o68cJSEAssS13dKnPt+emD+bUFqFw3BzhjxE5d+3ntzamPsZornTZqrjo3uv0RyheQbzt4NhTpnOe5uZBEKFu535/6q2UnnznUBeZAdPoE7OQ3Cm4t3FF0E9vA81s+ebLKsTCC58uzYgNaq+A3bYL26+x9N9iW9XZbmvt+qcDP/OmqvlVzqy7W4lwIimrVsrx75ED/X/7X9xU4Zcz0h3pdOGOdqXY3J7bfA4GzgJ354jz1lMV0q55dkGF8udkGcSH0ZgzmXudeF8D4/XFxT6V6eODmQh76Ve31PAi4aZty7Fc+csfRCw4E0dSfkJty9Y1qZXcpwbFcb8hsGwmmVaGXirvLqhBX2Z2W7YJ1bdrpo/DcfOiqyb2eucmNYRZw1AKG/j4vi/YG62kvr3od9bn27wuad9/Mz8517drZqzrnWGU0AHdf3m6V1QmlE2pvofIWWKfqfAuoVYVvVeCpIt9nDb9P+X7Ub+7Jcwnbtxbx2abXtmr0ffW7AGGbB1379oTqCdCxb2evYn0L0HGimb+L5m/jiYGJgYmBiYGJgYmBiYGJgYmBiYGDUaBPEMyHYGJgYmBiYGJgYmBiYGJgYuBm/vME6KqyBZbARI+1Rxeepd16KtBVLLpp/YvCnLJaQAvfBakqtYXfgsJSjbc9M8eqge2TsM3fKpaXcrxBuqppzgE8BcXUp0rd68Jf+gvYFKDTR3N+m48cZbdAm73wmd9rwUGribkmWBe8ew9tqEQXgnufY+G3ZVNJD5B3/uyrKnTGUDmqz7y8ILFK7XzezmnOiepu9oJzzwv2SwHdSnAV9wVQ26o97da1bud62uarThYCc04rdDYXW/AMBela4qcTAWPTWp3nIvB30UCB/jMvFyAnBniG/GaPWh0YTnmuc16lO3VjdV+LAM7fqHudC8ZWFvDHr1bsC9JVNaNKB4gD0LFyR4EO7HzvR+8rgE7dPC+AOc/6uRs/rHeF39i88/5wnr2qb1Xnmc/cudHq3wUfxjHPRbhbqRYalvvuauUOPKddoTB9AaCbA53zOg24+CUXo7ighbmxbyrclx17Q1tj08U2tSADG/kLf75s2ivun/nz1e+0O6eM3wBt3+2XqukE5S7e0MJc8K4y23zx1c+zV9cc8CyNQ+aZ+gTKAndjlD3PX3W5CzqsP23OhdDu7a8gG9W5uc5VobPwouD4sQtLMc6xSvTMgS6Apw8s5hDOc86FD6v9DTiv/OoB1oXtWdY+2C9hOZCWRRHmP0+bdqBuQvStqnoLolPxnWUTlHsu4XOqxwXU+xTnCcOzja11/Bau/yjovu2PCnO3rd27YF11/DYXeyrO7ZtK/m3+ePbmlxegoz7Xvn0A+vz9O3//TgxMDEwMTAxMDEwMTAxMDEwMHPyU52CCbIJsYmBiYGJgYmBiYGJgYmBi4B0B0O967Mp9AnRBGOAQACkYZAOIAbyEpEImoFXlxm2lIrBJUCekEzapoGUPmMs6Sqn95Es72H36+oLvlgfUUE9B34a65n4GaFFGyJ/gVoCuVTsQmvHQhrm8ha/atFPGPOgqv1V6q8qmrPAcWKk9u3biWoC74IB85NSr1boqcM4L1blm/miuqUIWtnPNY9XognT6Jyzl/mUnH1boHgua19gbvjqustdv6G3+auEy0FpLbYG95Vw0UJAbINgOAjoUqDbX3p+yqs1VTtNvFykQR1vL94K/KNHbjUDLbO4rJXjHK/NfAB6luEr0HhPnfF4CchTr3kfca8vtYgJzoDt//Ob5U6eW7QL/vB9wiYU74ByQXrb2XzhTkBpIyb2qzFGqs9cunvdBNb8A0zQJAmDmsqBmP4N6/l/b7bVBd68am9gyj7YwuYDrvU+XhTsqeX7TFn167MnLBRG1EffZ+d5WHnQXYIRNu8CYvQtpXAgjUGarfOmtBE83BPOWc6/fl0wXkFbuporwmyHMzjq5RpxY1uvmCs8FGyrYjXXV58J4vlveZ4513QDMgy6AF/oLxgXmQvbqz4mLBZ0B4OYhJ3YKZB+7sK4Bqs2dLjR345qAXdDtu5W27lrFa6Xvd7rSA9z91dfvPv3srr8N5lXQc11Ab3kh/q9//NhSnQNv6S/HQlvBr6A3c3nncUJjoXfB4w/fvhdsH2XbLhj/pd/59Bus17cAnfa3qnI3r6mg3wfx9ynotwDdPv38r33wDX1OgL5VuG/hfSrNbTdV53kMNCf9AnueB+d5JijQP3T7fa9+5A+/8PAo0N/+v8VmmzmYGJgYmBiYGJgYmBiYGJgYOHiHzcHb3oHZZg4mBiYGJgYmBiYGJgYmBiYG/lsBOvnPtwBd6KyqW5tvzquoBlAJxABJBbjaOlhoJDwrC/ezVxcABEwBaDxHHQA/VerUDQwUCArGBWACdZXI5lQHbKm0TevwO77+/YK+KIe9xpi4Xwhf8PzsDkSbO1wVuABdCK1CW+AsQFc5LswuuB3Kespc+LO/X2XoE30237mqd5XonFP9Lij3WEDOeLVdd1GBdvna1XMPY1c1Ljgu0Hzs+YLA2qszBwX/eyHBsuZvq3KuUc5zgkmt0FV+F2Q+eXXlWlclTFnhsHGkjb/lBb/GH9e0/uecOcrNiy7w9LkAr9kKuHZuc50UauFAj1sbd/Nya8VuTHDsu5BW8PxWye5zBoQCnwGUQsmqp+EqQBr7dp4LMQ6YRI3OewB4d9EH74AQuN6PVnj73hRcvf/i2oS8gFYs2yuWe/GKDgGZH5x5rXerVdUo4Okz9wtc6QN9Q4lOu7ybQHRzoJeNewNm4tMFLKrBbXulcGjbcJ6tKnraUEXvWP1eLEv2rlM7dus1JnIT4Ktwdw5Vywuv/XZ4XXjOvbWg4KEra74qH3x/b0ppHhbu2qlnvnL7XNdOXl055FWpF1S/+9G1GEAb97KTP3Zhl1/82IXqhwuOgOHaswvLeVbLwh0FeENuz7kwQlhf1urtOGBOepX3tGked/Obq1I3lzpgXPAuLNc23v4K9nFVUBkNTOdeVdJbxfkWEif03sLpfTnPheKZm/woq/Wj4Hnel8D8KCv3oyD6PvCd59K2PYF55kBPpXnmas9y2znc5jsXoAvRK95OXFw27qr/E6Df9rnjHxoL9/lbcv49MTEwMTAxMDEwMTAxMDEwMTAxcDAAfYJgPgQTAxMDEwMTAxMDEwMTAxMD+wG6aluBocpi1edCXq3XAS7CFo+3+XGFTJYT2qhEFZ4B6QTtwlJhq0AsIblwOIGnYNhNdTV9Ny+6ecOFi1533MJwVMKqzhkv57QaB0ZXLu2eLwCq6nTKpspbVbt22iiRKUdubfOHZ555ywnIS0V+dgfOaTNt24XrugY4D/bDfO61YKChuNBbFT/9LCjfxzl/5qHXOt1FDYJy1fBa5pfit/OgUyflyjb85E4Rbv9cFJGgXHt1+iVQN4ZUpAO9XfRAnbW1kl6YzrX63fd5rtTgZ79Tv41p4Wo914bi5l+3LcG7EN586Ni924dSffdiEACl0LsU/udvFHxEfc5mrAMW2Zcq9K7zNYfMBe+KimFV+i4goH7gqSAUYE/7qrsF2wJmY0Oobr55c5tTTwH0e5/e5WxXKR3wlXpxQQD0o5wFoKvSFpKzUb9W/kLjtGyn//THPOXe58IJvyculil3h3arEKBnzDjH2rqbv9wy3peqfZ0PzNXt90pL91JxM693nV994Vh4zpYLDQTklAEmq7hXbW5+88yJDnBeucUbyJs/XCU6G4ssqJP55pp1CbVVpgvOhetar9tHnuPKo94QX7U8W8VVLxRIx5AE8SrX6Yu/tY1nDyhnj307GwpnNs4L0zNv9xZkb+3YVWJn+VSkb4HzFqYnwNYefQvfE+Bv4blt5jHbr3xwPzjfZzu/D74Lzvf12XFv865v7dyzX6lE3+Y99xhwzkKYtHGv57UB6Jeevfyu+bto/jaeGJgYmBiYGJgYmBiYGJgYmBiYGDgYBfoEwXwIJgYmBiYGJgYmBiYGJgYmBt4I0Atwdo5sc0QLEYWhAHRV4iorBWbmzwXepA2xMM5jgXsq0lWEegxcT4guKNPaWwCs/TbQDWCqGl3YrTW559gA40J0rqGYTuDOsVbbgFVhpGBZqM2xAF7QDryzT2zMIdeF1sBtwHdZwZ+7OQ6hOHst21Wjq44nB7eKZ8alHXw9g1M7m2/Kq2bWbt/2ucac2t+CkJ333bmwL+adLqV65xTXtrx+H790KIf91g5dNa6qc23aVXxrX+/zoJzwW+Btu9rKZ/5zFwQI7svy/8zLazGEULyU6J0H3WfBvRw7Jz4ble3avgvNq19tC+9YzI/unFBPQVjUy90n6yLmgefMJ88I+EledN6Rd996TynQdXkQjKcDA8+XWFHprHqcOTPXtv1yznn2zA9xtlwE+h0yRgGi9UzOvFz10D59qzJnr5pk96AAACAASURBVNY7awoCbKAB6IJe89lr5Z626aWofvDiDsq22pn30lhhngTcxonj0VI986CrZBfGs5VCu2NL5frK7/7w89WeC3ho0wUElQ/8rvNrHgXJfrdUhLuYgTni+QiuKwf8yas1X6q0U31uDnPaowz3rlzoDcuF37RJHHCOe6yLY68TI2y2z/m0UReg+71Vna5TgX10LgT39NVnpLpfm3dt2S3rd91+uM+87OxZDGKebW3cj1Jsb1Xi+yzRtyD5xynJt5B8C8gB4FtbdjeusXHePuc57xVap6W792AVv4Xuls086AnUt+r0fer5hO1pfZ/zu8/CnWcAOHdDgc4ewM5zGoA+fwfP38ETAxMDEwMTAxMDEwMTAxMDEwMHY+E+QTAfgomBiYGJgYmBiYGJgYmBiYE3xgCqMwD6nY9++0ns2wWR2l4LMAV5ADnzn2vhrmJSOL7sg9tWuCyGudb7KhvHqkAXKGuIZn5krbSFU3lOgKl1NH0DfAmRAd3CYiG7duLmLBcMqypXac/4AN0qo7UWF6QLgd0DKgXYwmRhrWBcsKu6OyF5KtwF/Fq5q5av9todADhHHaiDVZGqXldRnnnRc26AlVrQq0LPc/TZPPCp2qZdYbLwm3ZUIgvQneMCdg/tnAN0C6AN4a5l6VMpYxs68jypywUc9kmXgFzQQF/Mh841n7d1CqIZX9r158IMF02oJjePeuXz7sUKAnpzulOGhRcCdhcHVN7wXizAffSB8eA88NyNHxaM5jfQFND1nt87vqzXed9UQHM/0HMtXjh+acFQrrvQgDaBsL6jleP9gW/W2JYTQsPlWnwROeZ913RmMAc4C2Swmze1AvbznHvXu391WcXTP/pDXKlk1k3AZymMdn5Ujmvbbtxu++KCkFoo05uLAFSdmxrBc5lnXSt3ldRbwM78CemJW4G3kJl217mGyHzLUPKaF16Xg7reIL7irVXlyyWg4XjCdlXppQhvdbdgmvsA0irP2as055hvJ3WltXvCczZV86WQNxZ77PTFudY2nrLUsb7j3YaLCogDrdoF9LS7VZwLZoG3gOatYjuV2ltl+bIk//DtbwDIW3V5boLpo3KG77tHOG7dCckTorN53fNapu/LiZ751PfZzqcdeyrLE/7nfOQ8Oda0wjevvDCdLY95BixqAJqzB6C7yIENFboK9A//7id+bv5Gmr+TJwYmBiYGJgYmBiYGJgYmBiYGJgYORoE+QTAfgomBiYGJgYmBiYGJgYmBiYE3AnSgoGBaMFlW121dDQgDerEB1lJFvhScqM4bkGslrHLTa0J0rhc0azioIrXspclB/PDOJnrZj7eCVpW5wJZ+Ck2BdOYGB7CpEBeeFthtUIpdO8BRlX3ardOG8Nq834Ju1edarJPLnL3Qu4DyE68s+CvYLbh7/sYC58I+FeeCRoE882wbBRI7Dzr1mc/c/OoCU3O3J6RWGe/iAyB1gm7qBIqWlXyruoWq5jin76r/tQYXujOPlhNG04eCvz2nAnBdDrjfOQE0mhfaPOs+c+NOC/YcU7oQsJVFeCvZGav3a/0vUNZlgXNanLvIgvJ3fP37C5jXwovOH89vF0KscZy/sdpf6vEHbsZyAeW7v1pAGojOcwBGAx4B08Q+NuqVx73V1IxVG3fhOdeF56qamQ/zfGsX79y5OEKASj+E3LxHzhXXTBnAdeIHtflf/uAH9Y4DT1HPc44c6PaVjWfgYhreXxdo5AIC7ecZs1brLpZxEYmqeGG3z9B6VZ9X3SdeWDnSuUc1e5VrNTx1C9cF51xzwY5uGBVz/d1Kd4zMbc71go/93VKBX4sDerGQUFygzrFW+wJn2mKvCt1c6irPVXHzTcTeH0CuklxAbpkE7Lp8FLi/9+ll3c54XcBQDgX9naWPKvEpy4KO/BaroE8L95r/Ezs1Pv0SnJvjXLU5QBeIzrYF51uQvM3l/X/c9pk3WLwLuAXk+2za94Fz1eKqzLcwXTiu8pw9sDnPaztvGa8LplWBe48LBhxvKtG3iwUSpmf/8vc+m/jMgS4kzzYE6GlBz7NIFbogXQX6+z/6r58agD5/D8/fwxMDEwMTAxMDEwMTAxMDEwMTAwdv8RxMUE1QTQxMDEwMTAxMDEwMTAxMDLwjAbqATAWwSmvzkWuhrAJd2CL0AcbwP+oFPtr7ugfGLCX6sQsLkKmA1E7YHMbCUBWpBQI7V7qwV0W00JdrwvKE7UJbACnnAN2MU4iqrbl26wXQ216bDVjM/YBGFOrsqYPywrtSyXbecBX8wE7rUImuBbaKdSGvavmyzH9mNx7Buf1XHW051fWq29ks55yURXOrsr1fWKmS2r4IYbOfjJ25quuAyS5TivfOXa66H2DqogUBeCl1sT7v5yi0Bt7z7DmX9uU+25XvOp9fK4VLnX/+RpVxwYNA2/zowubqX7sMGMv89vmotk97dm3c/b1VxHNO4E07wG3t5x0/MQyEJiUAz0pI+cS3Xqr4/4VPPV5bKavPfWenZm+b+FrY0YDc50cb5pE3Lnw/hO7Gk6DcRRS6BTCf5ijX5p09zwGlNX3lPSX+AP13fvFLBdABwlr4G2fW6+ITF7qYaqHyoZ+9mXe70gucvVrPS2BOPzimfa7X4pyG3uY/d3GHqnPHrJLaWE21ubm/VYoXvG7QrCU+Wz2Tridt1DnmmyWY5piyzJHQXcCd8Nxc6V7LzT6la4eLi4CcgnaBdYJz9pyzfjbmiL66sGKB/37nVm77Vtj7HChbC6B6ntc3uIG6DiKMmf4BygXnbCrPzbtt7m3g7BaQ74PAQvMtPE+YnNCcY8H1Fpxjn871rEfV+NYqPtXmCdW3Fu7bclmfAFt4flSu9+xvqsuPsrL3N3OS17eLEPZZ3QvxBeu0zfNIeM7+E/ec+i9uA9Df/r/DZps5mBiYGJgYmBiYGJgYmBiYGDh4B87B296B2WYOJgYmBiYGJgYmBiYGJgYmBt5qgK7a3NzO7FWWAqu0bld5Lmjif84DdoTowh9/C2FUcyakAUbdffrZnVVwQ6Vl1942y4Je7ZwBcJ4HZHrenNqowoF3wG3BskBZCGvece26heyCWq8L0LUW55w269qkq1JX7SxkFaIKlwWa1GEuapXjWlw7DlXtgmEhtf1LGCxMV9FOXeb1po8A1OxrKt4ZF3BcC21V8gX9z99YsJl2zSmuGhiYKkB1DoHnORbnBnAplNeG2zpLYd5AVHCuGl1omrnKXaBAXvgFqlGUhwrbegDR1LXyqneMu0CEvc9Z1bmLKoTotHnbl7/z+r84tVOw6yygvb1W6wJaHRwYJ1BSBbrgmncBVTfvBuCTOaD/xy//9U03hLM7FbXP2DlkwQHtC8gto027i0aMCxdVCJiJK+7RsYF3TSV3AmXex0f+5HoBdPqKhTvvNWPVkp3YZEy+g6UMP7tb9KDFv+8q9ZvrnHtRuKswr/zpDXk5Jl5VlfNtcLx+E1Sya5uf+bw5ryJcS3NhtmDavWBcm3atyv3GLXX6sZ19e0H2Exerj56zPpXk5rgXirNHuW/+81TEcw/fSPObZ2qLVJv7HaU8EDtzoCe8Z+z2i7lmPlyMoOLd+XOOciGUdZprne81kPy9H73vEEDXBlyAnorotBnfp0LXqn2fAn2rLH8z1uz+1gr9lrBg30Jsjm1na9cudM+85rlleWF5HgvU9+V03+Zm99g+b1XqzMe+hQVZVqX8dnGA809/eUaZ/zwBOhbuA9Dnb8j5d8TEwMTAxMDEwMTAxMDEwMTAxMDBAPQJgvkQTAxMDEwMTAxMDEwMTAxMDByOAfKeJkAXnKuCBQKqpFWdrTp85TVvEA5oYQOwqJQEFnEMPMqcvoJ0wHkpOY/t9oAp1eiZq1eVqiBRxbmgjeuCWcAcANl84Fqup2U451NtDSgVjGee9DrG1rwhpHm+M7d4gcpWAKtYr4UGT93Mjy3M5dhc5/ZPYK2NtpBcm3dU7mwcuwBAYGyuc4G4Vu41B8/s7k8FuosLzFvuWAXcqrdtm3NAY8qwIEEwTVyUDfcTr9S4tMF3MYDgtMq2NTnXzYduXnjjqhSxvTBgLRJoq272y3q9FyFUvvCG66XSPrmD48aBv1WJm1+88lb3ohDBuIsI7D/n/q9z312W8bZlqoBaWPLANxeop3y1dfr6Icts7hF2E7sAdFTdzCtxBGAFRPKOAOW5H3h+/7OvVfvUSwzp/kBsODbqpC/Evopi3w3V6/7m2GfPe1WOCV/ZzbXg2nzk1FUuAG0vTjkWQwDQAXBauDvX9Mk0BC5wALqam913Rkt1gLyxYSoIF1MIw11YIQhn417G6/dgpXZopbkQnPopu1WXF6C+/2YecsbH/Au02ef3ij19EDYnCBeu89vy5jG3vtxUqNMH1elCefqowlwHD63iBeOmwMAq3XzojJ89cWh/zbtO38zVrso9reKds8pRf/dXl1rd73i27+Im9vSNeGUsfONVnQPQU3X9k25bi3KB8j6Q/qNyoe9TqKsc39q3bwF6qs1VcqdV+xacJ1RH+Z727gnfE2znJiTPPO7Og9buLjDIPOdpD78F8bbpAgbHwLMCovP+CtFHgT5/C8/fwhMDEwMTAxMDEwMTAxMDEwMTAwejQJ8gmA/BxMDEwMTAxMDEwMTAxMDEwJtXoAvQBZuprFXhu2yRG7qkxa/7zN0LcHvP7x1foAgII5ACzqh+Fd4USG/1p0BPS+hqP+Cpat7KD94qbsF22rkLrYXf5mkG1grYVTZrK24582yzB2iymYMcqAxE1tK97Lm7n0L3gsoN2JlP+0T5srtuu3DaXQrxXsRAfYJ2YKXW70J0871znrKAdq3ZvVdQrj24iwpcbKC6nbYT2C4r985hnjnTE1CrPlbZ7/PwnlKsP/DNQwsJuFcLd/oFSAVwrrzfxy8dWrRBn+mLKnVhvApxjoHV2oarTuc8faJ984AvC/aO87K57jh3sYgxX44MvRfw2y/P0y6/UZELUas/nauc64wHC3c2nqMgE1U312uRwtnvFEDnebjQgt+AelMFFDQ+ebXm1Lg2Fl08Ue/nQ1fqmu8r15hjr3OvsJX3jMUWXGee6fe//cqlnb38gxcLSqMUT4BOn+2LVvFaw9d3gwUGZ3e/czMHuwsjqh/9bBLsqlL3m8N95ob32VKfKnRip1TzvHv9PUnFudDcvcC74PT9FwtAc04gLlQuyHz/DoDzfcp85AJy4be/AfPuM98556xDiO6CIuvQqYPvoIuQOE77dtXmbi4SoA3mx5zr5jiv8ZK2oe3rl517AHaBvvHA3gVRgnUgLDCWc9q3C873AXRhryrqreJ8n7L6KGW5G7BaCL4F5/sU6pazLx5vIXgqxzNHumPbwvPt3mNh9xaia/nu9X2K+i1c357PehKib9sQoNOWfRKgby3cR4E+fx/P38cTAxMDEwMTAxMDEwMTAxMDEwMHY+E+QTAfgomBiYGJgYmBiYGJgYmBiYHDMXDqS6f+p6MU6FpYF1RsWF0QvdWf5jwXerMXAiVAFxCZM5cNCCNsV+XI/9S3rgI5Jw7DHC3RVamqSFeNnKpn7ba9znkV6QmGBb7CdkG3lueC61LTnnn5kKW5tuaCZ+aM8lpjq+JW1c6mClhQT90AePorwLeMIB/wKTymPeG3YBl1sG0sdXmr6FNhruKcfmmLzW8gO3BSaOviA9svW/eG1AJo6tKGHjDn/JkPXIDu3JXqu2FdKtAF15WzuWG3eb7X82gQD+AlDsxzrbrZZ5MW8AuQH7+0oK5tlmK7bdpVlRsHa1HGue+sPPGcV4nuu1Gq9DMv794P7mk7eIApynD6JrgU8HKMAv25Gz9cqmtinHO0hQIdK3quA8uZd0A755jHL1/723rWzINzypjKsvyJ3TPymbAx18Lz/5+9t/vd9Crve49yiNKjpupBtBMVbXFC9gEqRLtbilSVn4roVgMiUZQwm5SXttC6QDeDzYtjxwyWhxkNxkNnsDGvNnZt7BisQfJ4p5azZUjCpmGjRGkO2gOkSvuvwFuf67k+y9/f8jOkJW1HMdfB0v0898u6173WdT/6zXyu7/f6QCeZqDp3XlRX04Dk9M/7xvspQAeSEi/YuFsDXQV6KsGzznr9PrTbQirNjTvgu9cXqL7zkRUDqum1ojdeXHfOEQbTOOZa8TtTyvy2JFfd71qo0lZtLjx2n3buCaSJW+E653KOSnRBedrB871+Gz/+0KnjJA/xff9dFJgz1nTmyPP8jUw1uglI+TtcFux3PrLuK/y3JjpzThOis1+XD5MO6ne1a8Fzf6E5cYDaXPt2oKyAVsi8rNkb4i5o3AB9t3HP83aALii/EUgHmO9qdK7hPLdpab7fe7dkF4SrSreW+G7V7ve0qBe+C+JVfx+zr2cuOL7XZE9YvivWf9y8CfmPwXaOsUY6BewKdD4PQJ+/i+fv4omBiYGJgYmBiYGJgYmBiYGJgZMB6BME80MwMTAxMDEwMTAxMDEwMTAx8OMV6ICrVQP90vVTynOhpHV0ATeqIrX55TOARdgjBBIIqbTM5vlZD90a6DbAjkBNAGitY+uea9OdgFwIrLU5EF0LcJXhQm/Vuzw3QJKmAlhFt+A7gbeKbq2/hfSCP4G5sDrhOWMAoGst7/l8tyZ7KulTWa4dtyrzfE7rwtMfQMy+BJLW6K7a0l0b21ruwmTtyk1cWArshpvck/sLu+mD673GdbFOujXMrc3tfRgHTQhqzXj61G5d1Tv9cE8gsjWktZnXfl31s/Gqnb3KZ2FvqdLpu5X/KtoLrne81/r2WvL8qMR1Blg28J0I4JwCL2kFYBsUC4tRnwPIH/x3/6nGAkBnH+8GCQAAc2qkE6e6EzCnfreuPc+g5TyftTkvR4VW33M/zuH9UXmu6lzr9qrDzrzf/uV6x6pueSfHANc+dfnz5RxBH//mm3/y4pl/9Ts/AqADg63t7v3py6SWZcfe1vE8B/27fgl2WSu+m+BgvXhdJ6oMQAN/+2dbzxGlJHQvoD/iRvhdau1WXheg5r6tFi9QfNdDqzZ5PVer8ndlOuelAp219TdMpTtuA6x9wem+B33T0tJdK3evo29+Bwuyh017/kamYl27+rJwb8DPPsbNdxMCfAZa2dD3Z+aULeNN1Tnznr/D3FdgrhW4SVAqmwGzHAM2Wzs84bLAOGt5JxQWjgugUwF+DJxryX4MoPv9WM3z7C/t2B23+4DvtGM1ztOuPSG6wNx92bwux5T1y3d1+W5pvycX5BzeqN58JgbkObzT1kMfgD5/D8/fwxMDEwMTAxMDEwMTAxMDEwMTAydj4T5BMD8EEwMTAxMDEwMTAxMDEwMTAzeOgVSgA6oAhTThYkH0S9cPQLMVuoAqYY5AScWiNu2CH1WWCdBTpc53bYKzBm/C81LORo1kLbFVpgNEAXiqcAWN1jAXXqvOFrQKIIXH1kcvdfmVA5jWEl1FOZCT42XrfuXQpzXFE4D7mfHQgJhZ81wluWMX9grcrWHt86kg51yeJcG3duyAZQGrNvE+p7bmqzX8VImuDbz1vFVfLwV5264LPLWPF5ymSp6+uS/PwfFKumgwTh8mZvid9bSGN/dRPS0oLvDeYNta2tzLfpzLZdfeqnb6IIZ4JlXYxIZ15rMOez1jK+QdL+vssxP7AnThfIHxVr9zD0CmNu7akjMOno9xozb/4//wnwuaq9TGwp3ruA/JFIBqGmOtWP7aISmCOFSBXiC8kw2YB843SYG1IdZ4buuI01wr3yPPUTVdCQldD10LcGAb7yn7Ga8KdMdrYgjvoXHM74LxLwAXhnMPEzwE3iZC6NygAl0VOe9/qbpbLe67uyzIb//yIcmhFdUcL8DcCnVLTdCvMNza34J44Tpb9nF9qbm7f1XlqsRtgHF/34TcKs7Tnl2Ibt1178U9/B3kdzMBet6D/aWY3+C4W0G5ZTDc57M7N86HSv5l7d7JCDmeShJ498cXMEeBTksomxBZQJ1A90bQ/EZW7Xud8tyXx1SnC9OPffZ7wnH7TGjusWPbrCOeKnOBunOQ9dLz/DzuvKggpyVAT5v5Y/OWtdv3dmw99u0o0Ofv4Pk7eGJgYmBiYGJgYmBiYGJgYmBi4OR/8BxM0E3QTQxMDEwMTAxMDEwMTAxMDPy1joFbPnjrqwToglOgYNlxn3+6gKAqYCCiNZ+zvq8QTmCEalWwBHwRyAjmBO4q1bUjTvWjqnPgnerIqt1L/fOuVa3SGXAHXNSmetU3b+is7biQ2PrmAl/Psd65Ft8CdOy0VXjzGdCZ8F11sGrxVF+XhXjXSBfY0hgn/TvGUuCee6z205/j9BlVowMyVZ2z9R48OyAVAKqyXqU3Y7PeuAr9nBuV/Kk0JzlAEK8anfELOa19rmV4WsarKFYNrip5weheP45XskYrxrmPMSVAt7562aa3glloL4Q1EUCozdi0eVftXM9xz5MroaGSQ7Bw77rwjkuwz/q7j3ivOu49B9bg9jPPwHtiMgDXaCfPvfnOHAPPUaBjh85aAUtf9xsfLdtxzseunXi7/MS3a81UzatApw45AL1gdiu5hevem3GmElx4XPXQLxyez/dEkOx7WwkHbQsOgGUf7x33YszAfi3cjQnupRNCOVO0Wp/78NzWYa/3uGNZQG6yQ8aMa8b9dQKwZjf38R22VrrK6tq22jyBuqA81eKCZZ9Ve3UV2gJzgL3QWsCd9c6F3Qm9E6BzHXEhMM9a6J7n9f5OAuJNLEqYbX9pNW+NcwG6td0zeSDryvt9bTs2TBQwacDkCYC5JTeydre24LsiWmB7DKDvFu0JxK35nbBY0J3XJRjflefatgvyd3jO1gSABOp707pd8C2UPgbXd3C9t7Sxt+WcZeLAX6Yy32ul7/OSiQ181mI/760CnS0KdD5j4f6OsxevnfnX595KMt3N/ntk2szBxMDEwMTAxMDEwMTAxMDEwMTAm18xc3DTBzBt5mBiYGJgYmBiYGJgYmBiYGLgvxVAX5bZXee71LQNBIHK1rjmHKCfaltr/AqWjqnO3Qfs0fJ9r+Gr6lxr4rIUZt8dDy64U4CtVfAANmsjq7zWrlp4LGAXkKtKV3Wu+lXFdinXH3hh2ayrbgacA8LZ0pgjlMz0Azz0ulI3tx112rirLBfuCoi1pKYPrbiF1iquteXmXK3Shf27wp6tNdw5zjWq1LXJzvrx2rirAPferLMKf+G/88r1PiOf3xcgvezfW+XM2LVGr5rkDaer3ngDdIG39a9VbHONtbO9ju3qsxXeBbtbTa9Vt0kLgmxhctq8V4mCroGurX6pzjvJoOB4QHTLGmjtzrV1PbXU73i83gfGvd6LtqZnTOxjDCjQAdEPfesPC4QLQoG3KtCB5QnRC6B/7Q8KQKsk9zvvRCnZey19V3UHEJD6zgj0WTttz0180QZci3Hs3ElK4fm5L9byv/aes2Xhns/H/Yx/lc2ZJJHxXmC7FdG6SVgSwtg3EcCYIc7pR5t4rdx9LuaA+dU2n/4Zb4JsVezWQFelzRzSF8/LMcG+6nF/d5wbobb38R7Omf2rmPecVI97ftZGT3Cua0fWY69+b/vqug9j0KLe30zW0nMtH6Ainzk1ccEyCpyjo4SJAjp+aN0OYLXeeaqwAdEJawHgwt4CtzdQnv9lKvSExbuVe1qx7xBd63a2Hqdpx571y7OP3B47dqz+Oa2SA7b676kyt3GOtvaZdOA87lB8b8fmLaG647GfrLvOu8r65doNQJ+/FeffCxMDEwMTAxMDEwMTAxMDEwMTAycD0CcI5odgYmBiYGJgYmBiYGJgYmBi4L8eoFuHWht3ACFwCoDFdwF6WnHTBDeCcJWTqW71u/bWgnHVj/QhDHKfTbCjKl0FsAryBLpshd4C37JQB3pjJ93QWVW59uUcY6v1+w7cOQYc5zrV6zTV4Fqzc06pcS9dLzWw8MoxMXeq1nkea0WrJlc5r024zyZ0FlJbezwBus9iTXWP0YCygmH7V2Guerts1y8f1lb4BnTTvt5nATyWwrshf8JP+heKeg7XGjcmNpRVe0NSFcTlftDAj31ajnsu1zJv1qA3XstOvxX8nK/63SSL+v7AC3XM5zUpwXIFFe93PF7zZqKDMBgYyf2E+GUhfvHasm4XpmfCCWMTqle9+QuPl3U7ynPg+Ifv+71q933p6+XYwDWMjfroWrgDsYHl1qgu9f2Vp0uJLvzlmVhzkx64L+Mk8YDz6VdLfZM1XCfrtftOMk7eU/ZxD0C/lvB8twZ6XdPJAvRtWQGAvzb4QnTjJ5NFdA6oeenEC0sgcIx7cm0q0jmHcRhbwm5+G1KdLRRmfhKqc551y4Xkxm4mGjBnWqOfvfRozTcw2XrlfOY3znO0WE9VuLXWTSIyQUHnjl0xTgkLwXn+ZiZET5t5r9VyvqzX26Jd1TtN9wTmTHt/E1uYH6F7KvKpjw14xfJbeJ7Qdge1CXdVPR+r6S04Pqag3uuWu0+rdhXmu/KcfXsd9FLIn/nAy2qc77XMdyjOd1XrCc5p2tcnTE/LdhXonCNY31XnmYCQ8yCQ35XpPMMxVfoO29OqPmugn0poePfHFzwfBfr8bTx/G08MTAxMDEwMTAxMDEwMTAxMDJyMAn2CYH4IJgYmBiYGJgYmBiYGJgYmBv7yGLj4qYs/8/Z3vvd1H7rvqY8mQAcIAggLCJ47QMMCdZefO6jQG7oIrIRSWrALgoQ/AKSqYXzPkwuSW49YSEZLgJ7KyAJx3bin6uO0IhcQF8xDpdtgTptyIZ71pa0LraJcxbnPiiJY8K1VNucK5Nme+/r/W1sUz2W5fuHxpW5nHn/94sGKXeCtLblKWoCdNakLwrfSWcv1gl0NGQXDaR+fddHtpxICrhyUycJqlaepBuccxskx1dmqlQWhqT4vVXav1aqr3qpWxqEFtjDU+3EP76mSPu3WtQMXnru2C4o3qCcOKwECGH75uWXnzzxrL86H7QAAIABJREFUA+5z1fe2zC+Q3mpn1k1Fu/XPTRixhIHxQdyayJDz5hpos8/aAyy1YreO9lJpn3u6QCwW7kBpITguDNiiC9C59jPX/ryU36qrgey+IyaYEDM241PLeBpjJTZ4Xp9J6K8SmXVizIJdPgN3KxHm4w/V2H73swd7b56F9wkIB0BnvFxjEgsxz5ylpXra3QvOBeTElnDXtfG4362PLmznPTDOmBf75FzV1CZeeCzhcybvpL25z5puF/5WVTmEj11ev2OZDGTf6a6RMH9Xpav2N0khk44A6KlU57tK9QX/G9hnbXaBuODceDNxw/lwLlkT5oa4IQ6ynrq/3QJXgD4QfVefJ9QVqp+qe97nZ03vYzD9WN3zvSZ6qssBxHympZV7gnVhOGPws+NO2G1zrLvS3K1K+/06Ve157W6XnlB9r41ukkEC7x2SZ8JCJhfs9u4J/VOVnmPgfqylAJ34MlFiLNzn7+T5O3liYGJgYmBiYGJgYmBiYGJgYuBkLNwnCOaHYGJgYmBiYGJgYmBiYGJgYuC4Av3aE4+/RoAObBEoAtBpwC4V2UBD1brWJhZ+c70QSfCmZXPCMkE5TQgkMExAlCp1FacJvkqtev7pg51524hrGW1tcKE5MEyVNufSBN2pNBf2quYWqgPKAeg8P1tUwtY+1/qc86x9DlRlnuyLvgWz2renHbXfBcdpe+152ourFrcediYRME+Oy5rXgmnhOE34a511z/O7cFx4L3wTZJbKmLXoWtcquQXewlBBqrb7NMauVTtbVfjGinXYHRNza0IHyQUAdCBhqZzPHfrVwp3nqtradz6yXAEcF8CcuVF5znmsq/FuTW7OUYVO3zoH5NwZJ8B6kxOM8XqOu58qIA2Y5hlZJyzcUZ8TO6qYgVwAadXrzC/3rwSTVgg7V9YG973Snl9grbpY1bd10lWDL2eBe55ckBcFtUp0gC/nC3bLAvpDD9SzcR8A3t/8e2+va5h/5oF553l4V1mLelcvXltK+JXEwW9FJ2jwjgu+jbMF4Fn3BvFa76tK51zjj/18TuW1/QrPuabU2dixx2+Nvy28H/y+sBZ8Zlsg/I4Ha+5qe89DLwPou8OGluwmFak853phuX0wx0JrrrF0hX0XvO/rFnz3/h8/JE/otmH9ctX8xgHNeWEOjUtj099f19o654yFz8QkwJWWIFeIC7Td653vIP0Y+E219TFYvkPzVJlbD30H7QnTVWHvNcsTkO8W6zsgPwbT9+b+BOQ7sM7v7svvPAv7uN45SfW+5xyrDZ9z73M6LudJa3nXkZYq9KyB/sbf+JdfmRro8/fx/H08MTAxMDEwMTAxMDEwMTAxMDFw8t94DiaoJqgmBiYGJgYmBiYGJgYmBiYGXlEAHQhWFtmArcvPFdhTRQwsFLwWLGtVbqmH2/5Y+L1g+A68WyW8VJF9PEH8bt3+Mlv3Bumqfa3VbY1oYbI1wQXmKHvLTrxtxoGkNOuFq/DmeYTw7Ee1nOcBVIHo2rUL4LMfAaxAnGMCdFXD1l0vG/JOAFC9nUkAWsULh1kHQCNJAUB0nzcTCTgmuBdia1uuSrvqlTfUrHMuXV+JCq6FyuACyP2d69OGG5iqG4DgfCnIWwUOwBUSC/m0Ey+oF6p3FekmQzhHlbSBpXrbVJusULW3O4a8r/DePt8XSROq03le5kGADph3HY1t78l5ujMUxO955T0oxfsDL5xScpvcIbhmbAB0Ggp09gFMgWC/+O7P1XVsfSbVwfVOtiU8z1jJB62mNvYF5QWbz15dNvYmXqhKd82Ey2kLzpgTtqOMx16+3v87H6l4YqwATRMDdKYAoPPulWV7x5dzzrMI7bk3Y/WdrqSGBuhcX+MMC3jh+kqcifIAqXavmApFtrXLl4MF1uT9+5K/K8wV/QKOGQfQmvkAprufa51vx6ydu4kMqtAF6gJ0a6ALwoXm1j+nAa69DnitgwfXcw1bFPImETF/xns6PlSSS6jrVeLr3mASifNlgoD3ZEsTCLMFugrABdHZEqBn/fOsZZ7wfAfoKsqPgfFj1ux5neDcWuc5rr1ueULvfE7V9gnHhdH/2zvuWNbtfM5jacW+K8xVeyc4F6jvinOvEZRnnfRMQPCanE8BOd8zUcA58bjjEaCrRB+AfvP/9po2czAxMDEwMTAxMDEwMTAxMDFw8gqfg5s+gGkzBxMDEwMTAxMDEwMTAxMDEwN/VQv3Ywr0M585QE9Uv1pAWwO9bNxbjSssK8Uois6GTDZgTdUbDmtnVcP0pdpYtSl9JMRNVXr2qw00n4FBAL5sQMq0atfi3efgGVQSC6m19bZms3XOBd4cE5gDYrF457h22SrDBVeCbuGttuzWbhd0J7BX8c05qKMBi9ZQLwvuruGukp5nQ22eiQPOkfd0fh1bgd2Gn9p825j7mtcG2j6XitcEwmnTrnpddbDg3HOMLRrAne+o9E2oKAv5Vk4vG/lILBD20z8xY/1t501VvBCdBqgU6mYigwpzv/MZq33uyTpbb34li/QzmyxiIgPxW9bpXY9dW3IttBmnttrMJfAcC3fuQT9YpLNPBTrvGnGp4p9+6JO1Slt0ExdcH5MlgLAonK0fbzxp823SStUUx53g3GMFw01uKOh64fH6/sUnnq2xWT6BOQPI/e03/ov1jNaYTxBe0Lut9S0PUIrpTI4B8J69ut4BHRjSlr3Wv1X2qvvT5t/fAFX6Zc8eynKfL9XjqvcF34DjTNZZtuk9Pn5XBOJex3lcJwhXgZ6W7JawYC1s1krXql0leo6P/Vn+QjU7c+K81PvQv5EmTvjb6dxWiY1OAEkLfZ91lcI4e281QLogOCF61j8/Vr98h+e7Gj3V6j/Otj1h+Y87dqwG+htCaW5NcD4LvY8pyYXnCbzZZ19p4Z4A/Zgte4J6Ley1fheeJ6QXhju/2s0L0IXi2a9z7fiyZrzzsM9F3j9V6APQ5+/F+TfDxMDEwMTAxMDEwMTAxMDEwMTAyQD0CYL5IZgYmBiYGJgYmBiYGJgYmBj4r1egZw10GqCMBpQRHFo3OkGnSseEPWVN3IpHlcurFjY1rLsBMIU81gRXSSlAr7rHFx4/BdS1KVaBrpW5EF2wDvxLm3bux3cAHvCZ4zyX6nLAn5Da76jNVTsL0C9848/qOLASRbo1tVWuC/idk6qp3PPEHGjLLjRWMZwgXeguDNM23HtxXICedu/cN1XoJgiUHXoD8qoHrvo/EiGEoMI35tg+VVXTnE+us545a5N1zTm+gG+rm62frarduVABTazVGBtQF9Q/15A9xsX53tca6AJtx2R9bK8jIcGkiAKS7UKQNufWZy/A30p110yb/eVY8MALdR37SiV+6fqyzNYenePEIvD8C8/8aTX2A9Cpi85n1OcCcy26TWChvwVJW51tYoaxWHb1DZWdS+KC53WNTFIQoNe7+aFD7Xbuw5b7ANMB6DQszEkawekAaAdANwlGq3zXz3dYS37fY663tEPWLPfdoM67FvzC+Pwd0XVAMK+a3sQM7egLjLeNOs+tiluVvYpuz+dcrditM861bgXY7rNGPMCZPgXiy2a/a6wLw4XmCcw91/sKzK19bt3ztG3PMgeq9RdMjznPd9m58XeFcWVykzXaUcDbdkvytBTfVeTZFig+84GjVu4/DqALhFWiJ6CnsV8bd7ZZ+1z1uZ8dn88g+E6ALhRP6C/03lXrO3Q/Zuee+/fr0i7eevIC86yb7rV7XfS9JrrAXAV+AnPBv7XgE9DvIN066GPhPn8jz9/IEwMTAxMDEwMTAxMDEwMTAxMDJ6NAnyCYH4KJgYmBiYGJgYmBiYGJgYmBGwP0t7/zva8DoFvLWoCOKlcACCwri+sHXlhKXM5Tba06VlUpIHW3+wYu7iDY5rFVs9oavw3IhUSAv7IfvuvQ51Kud91uldmlfG51OnBZRa5wHPCtzbsKco4D+7i2rNIbUAopBZUq0gGUWrlzzJrp7Oc+PCf3YtyqonOeVPLvEJ0xCMhUyAv+2bcr5TkfqJb11QWRfnadVDcvO+yG3a4Ta63lt1BOEGef1l1Wha2NtNbYgvFUfwsCl5080LoVxJlUQCOujBddDCqJo23ohacqjxMa0ifjF/JXve8G0Flbnq3JIKrkhfrc/5Yv/PFS8noeY9SSnHHxedWQP/fYqgNv0kECdOYFRfeTz/+g1qtg/9l7yyYdmAm09hnpk5jiM+8g7yLJDgVOuyZ8KecvP3OA24/9UT3Phx/63gLZ3NOyBroP5PtlEooK+bJk7/ni+c5eerSa9u3AfyAcAF31uTBfBwWTMnRQcC2E5sJ91ozrTTDh3XScQnUTQrR+X64VqNHb2r7GQP3z2w6JB1kjXqU456VaXMV4xWIosvf68m5Vp6soZz0F3HwWtgPEq7Z41D3nPtaW1+LdOuh8tx+b99Hy3fejkkL6t8ikGl06/F1kvlTdO48+I8dV1HOO8B+1OWMFnvP5mCV5QvCEualMB5wLg1OFnpbjCc0F4ztEz+8CdAH5rkwXmtPoK2Eyz/C63/joKSv2VNcDjh2rz23L589rdyh+TI1+DIx7ngBdeO+5e630hOc5lz6b8yBM30H6Du4dwzGATv3zqYE+fxvP38YTAxMDEwMTAxMDEwMTAxMDEwMnY+E+QTA/BBMDEwMTAxMDEwMTAxMDEwPHAfqn/+1z/+D9937jS9q3C9C1ogbesM/622yrFnTDX1WuSyHcQFvYq3W3cNI60mVH3nWn2QrSE2YKt7QdFooLi7gH99cqGpCk0ls4rBIdqJd10j0fCCmktka2kF3oLjDXxh17dc4FdAo0mRfrkKsQty9V4MJy1ezCR8bFGOnbsQrqrenNM7IfSFnq34a1nC8sd95VsHvOslfvZIelym7bdIG3gNL64dZSFhozl9q8qxjWShx46D3pU/BurXP7X2vTsFYg6DFjTQhs4oFwn+/WAPc5fD6t3n1GYboJCcJa5gyFOfO5VOaXnysIzf3Lft/a8D2ucinosZZy+qHvVV8qrIXTNfet8La+OfsA6J9++HqtKQAbuApk5z37h598plTgWuurdK+5vPxcfWYf99ZxgD7ZohJXWcxzmVzCM+nO4FwtdwBhdqvlXXPmQ2eHAsS3fbXKIVDn/PVvOlMAXRW476nvvkp8ns/11EHAuutC6Wpd55w55BpLNpicwP565ovXam5U5asgt467cZolHohFnt3kBBXo1kVPQG4yQcJ3zxOsC7n57PnWMtcK3vOWGr7PsWY8Y3TN7UvYrjre/fS5fvNa4a+bhvFnIgnrSwwSc/RjIsmytuddDlhP30BzYC7jByIDi4/BXMFw1uPe4W7W+U4InDbjqUC/kSW7UD3hsCrzhOypOrc2OQ1oLkTOWuY+n5+Bx4w3nzmV9wnGU82etu5au+d1PrfAnK0gP63c85odeGd989znXFrzXKv3XYXueiRAzzGx7gPQ52/h+Vt4YmBiYGJgYmBiYGJgYmBiYGLg5H/AHEygTaBNDEwMTAxMDEwMTAxMDEwM/LWOgcce/frPCdC1zy4L7QbogB8hnlAYuKja1vrewlshIoBHK3DhedZRLwvsBuaAzLLLVoUeED0hHOAKKGSNY2umA9poADPsoM996dkaj2NkLEJ+wbQq2WyqyxkjYFx1OcdUmwOvPQZEB/wJ0t9x5Tv1TNbk1o6daxgP52gBr4W8ytus4w4U5Ritaq+j+m5InckKwlCTCBgn1zIvbBkX/XJPvgtQ2QIkTXjIOsql2G6Frzb6gm7m3/HSRyrTAXQF1xteC7RVw6bNe9ZQ956OQ5tugalxI6BlLtNuXfW6sFnQ7HGb0DcV0lra24fJD1qTV7KDddkZ36XrC+Bb357rM1nB5AIt/Gm8R8yNCnTWRZBK/XOO+y7w3jF+4ovzGG8ll7QCOeE581vv3YXHF7Ddbbwz8UTYWmvaSQwFl1vB7bowNt4hFOgcY05Y+1/45V8taFh28efbwr3r1GcywyrB0Fbr2qoX0L3tq8vKXRBs6QaTM9xn/Gr7bzIO8yXoFgxrEe9vBO9Rgm4BuqUfVr3zAPqqwgHMAHgV4UJtLdjreN8v7d79rrW7JSiE/KrwtWx3TMSB0J0x+Fza1psQk+Dc99L1JiZ8XhNVrIlufXRhPc/GMwBWBct7Te9UnquYznrn2rWrQD9mP54wfK/bDSy3qSLf66AnKBegJyz2GJDac3gWvifcNlmAxmdrnqede9rWC7895nnC7wTsgvW9HnpatwvRE87vSnaht9enen+vh86xfb0y0cHxZ7+OJWugpwL9Le++9Za3/eZv//zN/ntk2szBxMDEwMTAxMDEwMTAxMDEwMTAm18xc3DTBzBt5mBiYGJgYmBiYGJgYmBiYGLgJ42Bi5+6+DMAdOzbAegqcQV5QEwAH0AGwA3MU4EOUAdQp1pWqKtFuVbo9qkVtuCShlV2qs/L1vzS9aVCFpoJA1U9a+UOXGIL2AWesx/FLEBJ6/RUxacdd9miN8RNu3at3bVi57lVoX/84e9WY5/10/nOMzB29gM/6SNrqHOOlt9VO7uV6GyzjrF1y2tcDc+4h+pq59U5MkEgwbtJCyrWBZyujzXJVWULurWLXnbrPdcF6tpOPaG4dc3ZVzXq+zkEytYlTyW3dtwrAaDXJV0GfC5hPPs4X+gvkLeWOvOSMN1rtRm3tng6GxBvmayhE4Lg30QQE0NYV0G9iSA6AwjvWWuhucDaOWJ+qHcOREctzPd3fexyqceB2CRXmJBBQ/FtYoZbrrv8xLeXLb/W8OwXuJrUsMZ15yMHmNtW66q4TSoAlus0YQ159n3v3//7gv0qx+/6/LUD0Pun51+yy+95Zr4Ys/cUkBsvAOGXJWdEPLi+vMcmc+isQExrM8+z8N1kEkB0Wq8XuG9FuTBZYC7YtgY6+9JaXcgPWOZaVeicq8JcUL/AffcrOM/PHjOZINX3Qn7HBEBXja5iXZt565/rnKHCXhcBfxMrsaVdOSxboKI/a6pzDs/DvQC7wFxU2WlJnuD2WD3zHaDTsrb5sVrmxxTnJGQIzoXpu8pcwJ727oJjjr/6LbcuQJ0AXYgu9Na+PRXouT/rogug+ezxYzXUs256Jh6kIl3VueckRKftinW+Wyed53WOTRwwMUGbe/bZR/YlON9hegJ0Pg9An78f598QEwMTAxMDEwMTAxMDEwMTAxMDJwPQJwjmh2BiYGJgYmBiYGJgYmBiYGLg5QD92hOPvwaAftvVZ75TALIBNpDTusxaWgMRVY4DEYXe2pdzrdBSUC5wFI573qrp3TbuHLfGegJ061BrKS6Iy9rnbFVwJ2zSvlpYq4JbOC2MThW9tc65vtTf9z+/rNfTVp3P1j0vuHr5uZoPIKgg1PrlqtBr7jqpgDFpCa6quazf22aca6xxbo1r5zXV+VqGO2ZV3aydz5wOALvqm35V/i4F88VrC8AJNYF9VaO7bfOF8NYrZ+6Bc2xr7KEkTnt446MAI7XJLzx+UDT3vUzGEFBnbXSu4bm4/6p73XNAv1nznWcVFJss4Dpb49371Nw88MI6n2sZi7FRfd//fCVBmNBQ8WMySc8l1wH5VTaruBYIA89tAGkaQLzKJFx5viC54Pz81w7xxdywj3lCFW6iiBDWGuUqs1cN9obb2qcL/4XRgnFgLTbz7Cs7/fufr31ffOLZaqw792Q8KtBdRxMkjNtMimA/a4Ha2RhgLhMKu8++BM0mv9gYm8+2EjJaXa0VvckfqUxnu2q9N6xOYK7iO1XoXst11k4XQBdYv+PBur+w26QAgbe1z5fafIPsKsx5Dj6ToOR1PpNlEUyE4LOlHUw2Wc4OfY0uFs699c9VyhuPwHOgMPcW4grQhbypJt+txYXCu0LdOt1pNS5M3wG634HjQnKbfbo/rdxTbc49+JwQnX18FqQnQPc5aQBka5+7L5XgHvNzfj8GzveW1umpUt9rqtvv/tl7pZ278FxgbmO+UqHOOSrNBem5jn8ZQOdvgvk7af5WnhiYGJgYmBiYGJgYmBiYGJgYmBg4GQX6BMH8EEwMTAxMDEwMTAxMDEwM/DTHAP9Zjn37MYAuaCv42PbWAMRUZKvEFaZr7a4Vu7W/C6oBzR944VBzutXofC4YHwCde6B2T2vugu8NA0vRaZ3pVjwL0IXjCcq1h2afauIEjCqlgXY0LbK5VpW8YB1luVbuwM4CxZefW+2f3f/tmhvBp8Cdc31O502rcaGjCQXai3N/547xWJtaZbUKd6GxtbiFj1ynup4mWE6VON8FskI7vpfydgPoAu+E1ruVujC1FPJ9L63j6TvroFvLusZy4fECfCqRSd6wrrMW7Cr3Vcbbl8dViy/Xg7a3L/eCfk5dBDLJg/MrDvu6qrN+5XDfrKVuQkTWsmc/n0/VFu/kAJXCKqOZY8C5KnRgOM8NkAVYew/iC2DOlu+uqa4Kq377Zw/zTeMcFe/Gi3PJZ+ZFYM3cWZZBa3QU0IB/Vd4cRx3/vk88uIAvdu7UQOe7tvc1z60yZwy+bzoECHGFwsalCvWsb7+SYzoRwaQLAbS1vAXo9KHLQkJi4pXvVYNeq3R+xxpya+eetdCF5Fqb89w0vud1WR9dYO9Y9rIH1mj3WkE7Tct9GmuvilwIblKQbgZatNeas8a9jr6XNN9rznENPJb13hOcY2cusBX2CsBTfZ4AfVej79btthvB8x2g7/XP0+o97dvtfwfXAnVV59kSmucz+10VOvtUiu+256k2t4651yUgF9RnXXWPH1Owp+L/GHTfwXfObc61/TIHuVb7c+TzAM4B6Bz/lbe97/8ToL/9ne993QD0m/932bSZg4mBiYGJgYmBiYGJgYmBiYGTV8gc3PQBTJs5mBiYGJgYmBiYGJgYmBiYGPhJY+CWD976Kuufv/sTX/nBMQU6AEeFrjbnqq1VjxdEDxt27bAF0FrDC9nTrl2QrkIbeK4dOt9VoS8r9gbpwjrrfwOegEyAPAGxis2EUgl+2SdwV+GZIB3wraU2UBywmRDdxAHnTJW+qnSup2l9z3NV7XPmIJTQWt4L3BmLSnjht9byJiUI0LnO52NcWsBbg1qFblmGd8KACnwBN9dzHCDIPmsl81n7beuwm1BRym7BZittV63thqWMY6ndG+jute0L/rX1NNfwPFUyoGutW3+dLSBS6KtimrZquQfY1z7d+9C0zhfalnq8kzSyLvoptfydj6ySAyqiTXCoOG6Vv6p3x+YzCdNRm6s+B4azTsBMVeq6MQjQiS/WhvhRjc6Wfpa7woVDAoGJBT6v42R/qcBb8WwygfGv3ToKdO3xeV6O2T+Al+tLKX/mAxUbqyb8ucfW3BlzKsqzFEC1s1dPgWNhr5A8bfyzlEBZ9X/ogUNsXjjEBdcbEwmtVeVXYkJDdYE512ctdJMbVOOv+uht0461fiV23Hmwcxewcw/GwHfjIwG+0Nz1cKzGqxDezx6nWQbBufVd43fDd1W1v8Ccz75zJnEQX97DubcGelqS7+pzWoLqGynQ0158r3vONq3bdzV5NhXoQnL71bY96507Jq3Zs2572rbjMkBT7S0wp7FvB+pCZfap2E6QnoA77dFpKsuznxyXqvh9rKlWT7i+A/SE4B5jfhKS57odq3u+r1/auLMfgP6//u//5FsD0OfvyPm3xMTAxMDEwMTAxMDEwMTAxMDEwMkA9AmC+SGYGJgYmBiYGJgYmBiYGJgYOKjPfxxAxzIZgF5Q7tL1AtsFDu8/qMzPfOZg485nASNAsqy3G5JzXJgsGN8BunXDhcfWpmZbtcXb/l3oKTAUsKq+1j4cyChgKiVuq4KtRWztbNWjKtS1Tfdaa6Czjy1QW2Ww1u3MBWM3CaAANrD88jN1HAj6mWt/vmqkMwfYuwNFVTHTh6pb7qHqmCYAzXrqBc3aCl4g7LOqTLaeuSCylNKXHq37cI5W7sI3t6qAhX1AOJW0wlfmijlRGZyQVDcAwZ62+l7PuISCQl7XRBhrwoVOAcytCmIV8CR3JJRUwZ812rW/FqyrVte2XYhcySKdTIEqPM+lMZ8CTe7B8zDGchVg3hhrg2zt4stuvJMNhPFcBzynrjgQHKUzoNNkBN0dTNRg/Yll+i4V+pWn6zq+mxBB075cCJz1xiuhoBMoci545wTobC3TYH14+vn0w9df/N3PHqz7iTvm5md/6c0F/bVbN44Yd6rJ674Nk4XbKqa1NnetMmas2S0QJs4436SJTNBQxa6K3Fi3b5MGjBPOK4Cus0ZD9Yrhs1drPbR81649a5YXVG91O7HtnKtAT8v2VH/rdqDjAnGwQ3XrmRvz+btVZQPuPyRqcH9+YzKBaK11zzX7uAew37rqPA/rBlgWmAOuU70suBWAJ3xNW3fBeELbBPBC3qxZnvXNjynSPcfr+c74HJMwPVXfAvEdoPOZZ+U48FyAznaveZ4JBCqzb/Rdu/dj6nHHI0BPkJ73SvX5MUV6Htvhue4AzJdz4Lyr0BeUJ/DP/TSfmfkYgD5/C8/fwhMDEwMTAxMDEwMTAxMDEwMTAyejQJ8gmB+CiYGJgYmBiYGJgYmBiYGJgZfHwGOPfv3ndoAOXASmAXysgQ4YAwxrr/7rF3+/ICbwUeW1anLrlwsqhctcZz1xwbn11IXmwnZBu9BYm3jBq6rzpSpvcKR1u4BJO/O0HVeFrv3zsjS/8HjBQPvM2uPcm2cHiJdSvRMCVOHTuBfHVYoLwoGhJgjQh8p2r7MPoFcp+q8cQL7JCoJ2Abuqc+ElYxfEl5K/FejMlZBUe3Rt1U0eqO+t6uUcgRyqY62nvcY6zmWD38rcY4DUrbXVaap16T/Bpyp1IbhNu/lUrAuneSbWT4gpnKdP5s31U1muVbsqde3dC9gSu5084FxZMsAkC2G117DOxCfbihnWr1XzOUbHKSRVgf7Qt/6w1oh5ITYAndq364KwbNtbccy4TUbQur1g7dn0BiomAAAgAElEQVSrp9TeroNzY5zzTJWc0rDbfQW7+1m5h7XdWX/Gef3/erbOJa5RZAPQAbKlFu814Xzux/h9XmKFNdBKPeuDu+7GpIpqnkWQbmKFDhJ85neIOTVRQot2jxtXJhas5IKzV1eyh+Pgdy3tzbNu+qor3uBcGC/g577Gvyr4KnnwocNvpSp6nRmW5Xr/9vgueX/mSxU/52i5X+8nbh79nvte+LwmndhPOj/UfmLj7L21XgmPaYLqYwB2VzPvtc4F6F4jXFdJzvVZ15zPCc45J1XmnrtD/Kx5noA8gXXWFs9zOMazC9CF6AnBtWQHkqeC3PtznkrzVHZ7bsL1YwDdvtyf1zte9gnaE5TT956UQHN9TC7wM/N0zDFgt7vPuu7eYxTo87fx/G08MTAxMDEwMTAxMDEwMTAxMDFwMhbuEwTzQzAxMDEwMTAxMDEwMTAxMDFwHKBbA/2DV5/9IW3VqL7toEwFEi7r8SvPF0CnAcFVDQPQtF7POuhlT97W5kJjwXravwvUhfRZMzxBNTDJ2tUqahOEC9YToKe1t+fyWRX2sgm/eFC0C7GtQ81xlOOARO3mVZTTeFbt47mGZ2DMKpXpy/rWKNKtia7dvYCd/YJfVfg+p88D5GSMgjZrpae9Pfu1j+Ye1gxXSV21ou95aM2FsJHz+QxoRMXpfu3IVclSz3tBxwbmJi4kTE9lu+ukYta+C943DFSBK1Dk+oTgrBGQslS9DTm9J89rAgTHVZm7/iYdMB9CdLYLWLbi1/renKfFd46LY7Um9zxZ/dUzqey+eFDYl+K548114D7UPwdMC+VReOMMwLtGfDAXug0QM1xjzXbuB0Rn7lVCr/rgrc623vcqWUASRdeTJ260nmdbcJ53Kt4BzlEh/cUnnq1mfXMU8IBP7c+1e2e75o916EQLtoyDcy0JkJb2JhbUe9DQWQcE32WdIXxG46XU4X2vikmAdoB5QbhgW2CdW8fjWFNFruJcRXzGLfsZQ9YzZ03YmjggzDYBQ4v6ei/7Ot9Fkz34bIKDMWbyiPuZK3+Xsxa6z6Xyn8+AWlXntITo2o6n/fcO0K3BLZjNmudp0e41qSbfa52rmk7bdsG6EDi/C8XZprLcrYCa51KBLpjO5wWiq7ZORXqqz7EyT1v3BNpAZsF2wnf74tq8/65uTxV6qtZ30J5K+lT1J1TPWvWpQs8a8a7bnvxg4kPa9gv/d4COK838nTR/K08MTAxMDEwMTAxMDEwMTAxMDEwMnEwN9AmC+SGYGJgYmBiYGJgYmBiYGPhpjoEdoKNCB6Avy+GuzaziGjAMMAOQA9DZCr4BfUJvFeTWTle9nqBd1TqfVV5zjw8/9L1l9w7g9P4XvvFnC1YLmAWaAEBVm8JO1ehasmuVLdQX0ALpuFarZdXeZcn+tYMtO+drr63Nu89iQoDfeU5gO2PmWThfm3fnwIQC5+qWL/zxAuOM03lec3jlkHAgWFVlzWdt8qs2fYM4rayzDjXnWysbyAYoVa0qbAScqwIWSApsadaxxs57AcdWlzPXacmd65D28FpMlzK9QTvnVBJAQ+kFIRtKMwcqrW0qgFmLst1ugGgsrGSKCwdludDcPrUsN26YG87JhAvhOGOiZIEqYuvHm7CgK4IxhMKZmuKWQOBdSgt31gq4+a6PXS7rcK6pBJOG2drza+POfKeyWoCcQFoXAWG9Tgj07TNmKQDfOd8BvqtyX7bldzxY++j7fZ948MXX/spbC7wZN1VvuxNHtIzXOj9hNXFlYkOWFUgVN+P0s/XUheoJ3IXjOgSYRJH9CsazvrjjEJZXTfO7DmUK0hY+43QlngTc9/41hgb4BfqvHIA29+K7DhDa6JvAQR/sN3acA+7j+89+S1pYxkB3AJM09rHgGkBM0UyAoQmNs/62gDXV5scswLPGuRBXKMu1aeW+11Hfrdrzu6ppldT751SjC/pVbVvHXEie4NumVT2JG0B01ehp5Z4AXbCtQlwIrco8z08ATb+7PbvKeKF5gnKV6Lu9+w7XVcunhb73Nvkh1eVsGXMmObhW3keV+m5FPwD95v8dNm3mYGJgYmBiYGJgYmBiYGJgYuDkFToHN30A02YOJgYmBiYGJgYmBiYGJgYmBn7SGHjbb/72z2vhngp0rZ+1tVZNXXbiD7xQqlbhudCcLaDHmuaqsz3GPsAdfQCM/9n931611bV3Z8t5HMt66R9/9Purvviqs96QcVcHqxRV8el360ALULWhBhQCDbNWuip07bRVJPNZiC5Qt9Y56nFrm7MFopsEoC04362HzrN4Ds9NX8BIzuX6Ujff/+2lRBauZp3pgvGtTC/1esBcVfalCA/QpvJWSC6UZD/gTTvsBOQA1ALoH39o2Wov+/awfuc8a54va/yG45xb4PCeJw81mkO9LuzOutGnVLUNVwWRBbyvPL9syutZsHXvWtFVVz7mQscCbdXTEt5yA5U88cALC8JyvckWKoKrtvndB3U3fQk4PY+1VunPuULeSrC49Ggp0AHojItjr37LrS++9rfOLRcH4ot5Xi4Jdz7y4uUnvl2xD0RnjgC1gG3Xz5rn1ujmPulQYH1y4TX3oC+ht/ci/rhewEw/wEVt2D9yz+defP2bzpxSk1tSgeuZi6UkB2pfvFYgU1W271+B6E5moRXAbuW0im0a+/39UdXPnArDjdN0PzCZQIU/z38jkK4duwBdJbfPb5JKWq372TECrRljWsUbswt0dwJG/V42ADdhh33Gub8/brVrf18khLj1Pc566wnQAaTCcxXWxwC60Fxg/IawCk/1c8L0hLScm1vrdPOdrXXPE6JzTLW5sFxg7lardj6nujyV3mnPruqcZ07IvivPtS8XZKfyPOG152l1vlvgq47fYbygO63d6cvzsl68YFsr94ToAvRMXBCeC8LT6j7XSOcA1zLPzdruqtIHoM/fj/NviImBiYGJgYmBiYGJgYmBiYGJgZMB6BME80MwMTAxMDEwMTAxMDEwMTAx8HIF+uee+va7rIF+DKCr+NZGHRgIQBdyC75VjvvZ78Byv6vK5hohOn2rbk/1OcdsnGvfqcpWkS0kFOYJx9Oa23rhQiqVxNorpx280JVxAhoBdNxHgG4yAZ9pAE73cZ5Ne3qBOf2rxhece47KdWuZq7xnS1/cRytnms/BWIXsCbK1fk+VqzWfVWwXvDt79QAkgelnry4omRbZQkaBXdpUJ4i0nrqKdtXS1t8WYAtIVZlr9646l9hjTRJGem8dArR+F66uZ22791J1N+z3vkv523W+tcIuK//7n1/XahMvGC9VOI4JHSMq4oWcWb+d98WYU5HOHFIDHYD+6YcPiRg8CwD9F9/9ubqGJIyqq37vQdUtnD9VF/3K09UA3dbn1pJfS31BuvCcfphv54SxEK/0g7sA13KMe3BfADkNtTwW7swT/TF+aqAD/Ey6sFa9yQ+qsrM2t8A5IfZK3Oj30iQMAbqg2IQXbdDX9Xc/dSrBoxTfHefa1+tM4NyYQMBnnAFKFU/c3vHgAufaxJsAssoWXHh8vRc+XyYEZEKB0F/1v8kbWUZBNbkKda4VqpusY8IJz8HaW66hYo7671H73PHzTIBk3mNV2MLSBMcJxFPpLOjOc4Tju3V7wnOvU/Wctu3C9GMW7wJggLpW7QJ0wbSf2fJMfAZI84wmChCvAvSE5rlNq/a9Xnl+TyW4yv0b2bMnVN/bXnddMH/Min6/b66T4Nu5cr4E41m/fl/PPckhFeiumwD91/75xy6Mhfv8jTx/I08MTAxMDEwMTAxMDEwMTAxMDJyMAn2CYH4IJgYmBiYGJgYmBiYGJgZ+2mPg4qcu/sy1Jx5/DfbtAHTA+YI3dz+1ICLgUIht/WhrnKsQV4WOUhwQzBb4KzC3rjnnCNL5roJd5Tkqaj4LzgXqVRv90e8v4FzQuS3fBc7aUSdoEnCmunxZg7cyPYG6oNU+tBu3NrU1qVXAAydVn6uwZ+t8CP3ZVwA8njVV96rT6Y/vWmxXwsDlgyJdu3bhvHAOuMYzMs4Cmm1Pz7lZO1u764SO2HJX3ewG6MBEASyAFVC327wLxgGrBUXPXq1jWJHz3ZrpnMNW2K6iG+hX89xqcpMavIcW4Fpfcy7nuQ/IST9CU47TWBPvz3nch/VyvUn6EKDX9zseL5t1+jPRolwMok+hfo2ThJGe/3qmS9eXlXYmY1Sd9a4RbhKKAF0L93/zzT+peROGcy5W7axhxq42+2yB3TSTRFwHlehARNZRCM1x4s269Qv0n3vsAJkvPL7Wh8b9nVNgJOMEoPOZYyjSf+7Vf/dQW7pt0p3LrHUPnGYr9Hb9qzZ5J3JYW76gfluwm6zBdaybiSAJ5MuxoN0DuA5g6n7Op99yn+ia6OVy0HA+gbvOByZ42AfHVjJNP59qdJXijt8kBhMDuN44Ep7rVqAjBufwnmtR71rxnNY+973W+l8rft5zrrEGvO+H7hLathMHwlsV5wlPVZyn+vwfnflAfRdue67fE5z7PeGs5wnLhbMJ19O+XQv3hMACdOGwNc7d+ln7dhM9rHXO51Sb36jmedqm70r1tGD3mOcmeM8++ey9vTaV5ALyY1bzOY5cGxqJD2yZQ0H8rtRP+/bdJSABeirf7d/1GIB+8/8WmzZzMDEwMTAxMDEwMTAxMDEwMXDyCp2Dmz6AaTMHEwMTAxMDEwMTAxMDEwMTA39VgI59u/CcpgqYLUAQeA3sFprz2frlqtM5B+Ct4lx4rvqaz5znMRXsQGItz9mqTPe6hNCCeAE2YMnawtquC4+BeoA4Vb0FRc89fQpuAq/oS9AlZGSf0FIozTUqvelf1TKw29rnjJ+t4+Z5OQb8SlV6JQQ8/N1V91xVtdd7rXOgGlmIz/WCPkErYM15USErXAW4lR312asFe1SNAwEX3AQeXnj8lOq24OLZqwtyClgBk6XgbgW7wJbvbIWC3rdAXwNFlb6CRQE19xOipoW7AFpgKGxVwW7SgxBbSC74Txt4j5Wy3Frxdz9V80bCCPFdcU+cdCKJKnXinesEw46FY5XQcOcjhxIGuALc//xKDCjYfOl6xRIKdCA6tux8R42OnTrnsa7a0+uCIOxmy/m/+9mX4DdzS9ICSRAqrZmXhNkmHPC53oN2CDBeTHLQot/1B8QyNmzbAYTA//u+9PWqgW6N7VrTXivXRiW0Cm5jYdVMNxYa+vqs2r6vtbr9yyshxDXIeuJasNN/KttdF+eHZ1o11HtsQnHHYOyqIndcxnrOrW4MbrWOz98P31Pe3ywZYdyxn3O4H3HmnFiOQqcA3wvf8XwWx2jjHXRd+JwQOdXLbBPU5lbwqqKZ/YLxXX0uHE+rcNXlAPC0cReaC2yxdU8Ld8e3A3RrmSesVlWv2tyEAUG6QNua5wnQhdhZo3xXkWfN8h2i7+DdlgkL2XiWvN/ez9729dht9NPC3TlP6/esTZ/rlhbuNOu8uy4D0Ofvx/k3xMTAxMDEwMTAxMDEwMTAxMDEwMkA9AmC+SGYGJgYmBiYGJgYmBiYGJgYeCkGbvngra+i/vkO0EtdrsoTZTDwDxDekLfqbndNcz6X/fqj3z/A30e/v6C4ynMhugpyVeiqsYXEKLmBzal4V8X+yW/+xQLvtLJwf+CFZXWuXbUAXRgFNARQqkr2mbR7F4QLuVSQWvOa70Ay7icY817Og/WreRb3C9AZo+pxbdhNCGBueN6C/a02N4mA/X6mP75zXwAh5174xp/VdSqAtflWQZ326kI2wKrQaQHWqGMuQC9g2PuEh6p23Qq7aZ5fquKGjEJ2FdKqygtcNhxMZTvzwvyiXqYJQhOg6xKgktc62mn5zhxZc77UvK1oTgW7MSB4r5IErTh3H++AAJTvxJ6lDJxz51XFv4kVWnarMlbNTBwCzx/61h9WA4YDv1H9A++F89qXayEusGcuAdkowfnMdQB0gCmfWRvB8oLj3Ye254J4AX7Vor/jweUgkGD+XR+7XLbX9M99aSjQgYHahVsGIJXtJqao8OYegvqE59qfV9JBwGDfNc4n9l1jEjaEy96P89lPzJiYIdi3Jrvxwn2NFcbuXPGsa1ydcKD63dgVXqsAr/IBt3+53imTbnz3MoGHtfc7x3hWvltiwYQB4071OddyL39PtMoXtpcqvssmmLiifTvvd9bR1gZc1XdafacKPWF4Wrr7XWv2BOlZC11gzj2A5IJej1sPXQX6rkLX2pyyBpzPvrRy59k4B1hdNcjfeVClJ0C/UduV5Dso39Xhe030HXZrJy/Mz/t4vuNNUJ8qercozQXo2rzvMF1Inm4CQvWsXe98u3YCdNeQrZb+QvYB6PN38fxdPDEwMTAxMDEwMTAxMDEwMTAxcDIAfYJgfggmBiYGJgYmBiYGJgYmBiYGXg7QsW/fAXoBKWBUA3TreAuJ83spw9uyXft2gTkQPJXUqSj32gToQGNV7NY9Zx/AWBCf99Y63aYanTEKNoVRKkWtMyz80kZcCJsgT5AJ8AKQWotYK3dgNvPjc7ktRXonDFg33VrpnlNz9fB3VxKAoFwVOs/NnFhrvWytG8iVjfjFa2WtLXDV4h3Yp+rXRIIFAQOEL+Ddn9PeWjtsYWeqi7UEF1Zqky3sNTmB/d5XIL4Uuahmo551AeG7XjrH8gGARe8pqOUaIW2OT5W5QFYgyTwJMIW2HsPCXWVzqdMvP7cAeqrVTZZYQLb7TahqnXfjSdipjT527YBzLdwBt0A3gKEW9K6jNbMT0gPbtdyn8RlwCDBVQf3a3zpXIJWYo29V+b7Lnqv7gGvvfo8Bz2ncgy3wny0AnXMdw/qdaNhrMoWJEXxXpZ2OAHxmPVVYq1a3bEK9vw2MT9VOD2v43RaeOTQmVILrjqAVvOtV8YSzwLnHal1WgkHHZv0WhEODVv6cR0KAddadM8dcCTj3PFnn0EzqYGsygJb8xKTODsYS9/G3RgeDcvzoezsOreoZB+tcVvbtLiGI3mueC6t3aH6sfnZCcRXpad8uLBfO7rW2U40uvBWY26f1zgXl1gUXoKeVujAaaG7dc1oCdJ4/lefCbPYJz+k3gfaN6qALx9Oe3T6P2cpzjxyvfaTNe0L1rHd+DJoDubVwF3gL0X0W10pluvO+Q/O8lkZSjBbunDMAff4unr+LJwYmBiYGJgYmBiYGJgYmBiYGTgagTxDMD8HEwMTAxMDEwMTAxMDEwMTAS/btjz369Z87BtCtfy5YPPOZg924inPgddUgbyV51T1v+3YB+u98/QC8ufYdV75Tn61nLvxeNb6tn97QmH1cL1xPa3SvE1oDmOu8huYcA3gKrZadMkCyoamtAJZAvaFZQmdglWpYba/LPr3VxaX6bjV8wnPniOflM2PXot46xxwTjjs+5gF4Knzns+p17ut5wn/GA5AHbqbqXpV81vTWsl2L7oLjDaUF5QA64GvZo6NobjBpnWxAofBzV5Bb91xoqpJZuLhqgbcdt/bsWldrn23t6zqnG9cIUE1ycA35vupXN3D23FIptx3/qmPeUJI+uJYmROde7vO7MFj3hWXbjiV4n09/6Q5gwgKwT+txGskOWLgDz99/z6HOPMCbZpzRrzbumZDA+gB6gdgorlWdA/eAd4BuAaNJEZzDvJo0QJ+sr7XraVzPPj4D+VgvgByQDdiPhTv9oz5HMf+zv/TmOs9699r4L6V739MYMynCZAIBusr1WosoGyAgX0kaHSeZOGG9b8dd13cCBO8F88rWey/1e8NqAbyQXJiv8jx/E9LJIZNpBP307bmVHHP/SwkB/hbxXhv7AnpBuO8QfahO5/3XUt9kH90b+JyOD8RAKqgFuXu981SYqxw/Vjc7Ybq1zVNt7mfVzFn73Frm2QToaT3uNmEz8DzroBeMbzW9IJrY5vsx5bnvgduE6FzjnGQt892q3XkUjKclvNfYV46J67xnKtjtI+F7jiUhvhCd/TtAT6X5jZTnad3u2rmWXuOa827zmbVhC0B/63s++ke/9s8/duHMvz73VhLr5u+k+Vt5YmBiYGJgYmBiYGJgYmBiYGJgYuBkaqBPEMwPwcTAxMDEwMTAxMDEwMTAT2sMANA/99S33wVAf/cnvvIDAXrVkaYGdNua//rFAywXYPN5Qe9Hv1/qcCG6du5+zlrgqq4BS14vRLeGuJbvXK8anT74TPPeKIXZjzKbPoT6tKrT3kr0qlPeqmCB6qox3JbgJAtYMxuARR/Aq7SDV9EtPK9nuHxQJpfyvS3tfVaOm2QgFBek0y9jdC6qBno/F+OjT2G7gN066dbYLvV7g2dgm9B2KanvebJU1AJmwXbCwATQ1hNHUQyYpM+0d1eZnPMoDBU0ayktKPUaASnj5vy0aXc+hfVaaNsE1AncUx3v+AWN2sMvWNlr7HpzL+bBJAvV2QVPuza2ddRVoNM3z23cCPV1Z0greeG892Rs9gc4B6ADooHhjAOw5rMZXyQR+GzCcNcAcC2cU3XLPoGgNt7C1aph3327plqvq+BWxV5Q3vreZ8+/+MUnDqpzjgPQgfRauFtv24QLnzXhuf0zH9Yj1/VA1bVrqhqeZ9b23Xji/Exw0AlhWbZ38odKdeE5z2wCgfEo9HZetXevsVqvPmu1h1Jdi3qV5XwnJnyfSKjRfcFEHMaSsWkMsa9s2SPJI+3p19z0nJhUwFqYDOC6EQ+7SjrrYmd9bOuQHwPoqVj2c4L1rLG9K8893/5VQ/tZmC5YF5QLy/3MMYG6NumqtvOzySImgahI510wieBGNu6pCE8FunbxQnu2nue1vie0HIvw3bEkdE81u5+P2cW7Xyt3IbpQnXNTRZ/K80xO8Pxcf5MeMqHCcweg3/y/xabNHEwMTAxMDEwMTAxMDEwMTAycvELn4KYPYNrMwcTAxMDEwMTAxMDEwMTAxMBPEgNv+83f/nkB+gevPvtDwA3Q1frQKHMBhDTV0IBe4LUqclXjQvNUowvTrVUuDFelvluZ813InIp1Gvevut8PvFD10VWqWz+c41zP2FR+CrJUfC5L78vPLWU2W5X2nmsdY0Am0JGxZ31jWtbCtm47EEyALsz3uU0mEIxzTxMA2DJmxoVin+vpk/PoQ1tw1feAN65T9ZzPyVoJlLlWAM6zaEed1uACcAGddaGz1rI21T6/qnWu4TmW4jvqrQv/qLOd981z7UPomEpjLbUF096nlN9xfxXegnLPX7bl2ok3qLReNY0YdP3TcUFoL/zOWt3W0N5rpvOuLODfqnqV9J7z6YevVw106o+jQAfCAaiBZSQUWKNc8AxsExIWZG+LbgAd4EsleKpwhdo6B1Avveb97NWKF5XnZYff9b+FkJzDuLj3PzrzgRc/ce7cjxgb4BzgD3QDoBf0bKW7sD4V5PXcuBi0tX8B8nsONdxds1SCqyK3RrlJF8QN57FPq3ity41bkw9MDhE2874vlXuPySSRVLynytxa9amYT9v/dS6lAlohr4LcpAlrlTsGE0SE5MYO77awnBg0Di1xkAkD3o/+fc5a47NXFxxWAa29t4pjtgnOVZSnSvmYYplz0859V6Tbr/d6Q0D1hLkJza1/LkAXAPM9gbKqbi3dd3hO/LuP9eW7anTjOMF3QnQhtMA7Fec27p/qduG86nHfswTtjsf3M1Xu+T0Ben7O2umq0VWgZz37hO1ZE935d80zQcI1NKnCvl3vAejz9+P8G2JiYGJgYmBiYGJgYmBiYGJgYuBkAPoEwfwQTAxMDEwMTAxMDEwMTAxMDLxk4Q5A/9B9T300AXrB83NPFxAEKgJrANrYjaeNOtBXyC1Ax3Zd1biwPLfW+xaiWzvdWuc27sVxVe/aoKv0BjQnvAeoC5cBl8LltEm2frjwNGuhC7WE4wXFzj9dSlPs0fmu8rtqUbca2b6A+HznnKWSv3z4ztgZZ1k599hoVdv48jMvfubanxf8r/4vP1fPlwp29/ns9ANYZI64Xti7FLOhwNbq2ZrMzoXqbUGkwE9Fr8ryVAsLCu2T485BKTIbaK6a3d1HqdCpRR0KYYE8yQmpVFYtLDy3z7RvVxFMs7Z9we9zB2vspQoOJbt9aYO96perIG/gC6TVwl1wKVD3ebIEAH1zrwXU27VB8O5YhaGAcxToqLlVywoIVeQL/Z0rFa8CdAGjAM9+AGpaqrPluBb6+xzrMkArW/6zV5eiGdANjBW0WQcd1fyZf/U7P8LCHQiq8lwbdday+umxWwZA2KuKXuv7pf6+/csHlXw/o9+F3SZLMIcmcyyL+o4LkymE38asccrY0krehI6lwu8kC63XGa/AvtayY9q4Ms58r3SpsGyEsWPiSzpZ6NzA7xm/sZWk1O8f/VdiQ59jEkwmGiyL+14vledZ71xlcdp3C76F27uynH1p4e733eLdPnZYbp/uz3vRHBexs9unsy+B+Q7LU+mdwJp14vnZpyrcJBPhd8Jp5ygBusDbPnbFe6rbnWvPcR/X2UfWTc/zVZ/TsFC3/32MAnJaAnS37PP8TFzYrdrTwt9juzW8ff7jd33kh2PhPn8bz9/GEwMTAxMDEwMTAxMDEwMTAxMDJ6NAnyCYH4KJgYmBiYGJgYmBiYGJgYmBl2qgnwLol64veA68EfpagxwwTEsVuVbr1vi2qTDPawXefAd4C8UB4NYMV9muGp3z7YfzqKfOOUB364gL6bWGZ6utu88AxEqALngWlloTXbt2gRiATNWp11tnnO9l094AHdU4LWG3CQN8BpQzXqy8BeXAdBXuPJ/X0Fb97r6PynqVrUI2xi4gVAmrNbbqWus0q/RVLVwwOJThKnbzs0BSu+uEnwnG835Lmdtq4qxTLhi1P2Gs6mgdEFKRKwx3nABOkwmAxnxf42tgnsp1ExZU2i/7+X62tI03mcJECeNhWf93gkIq0BOUW8+c9S24fu6gKAago0BHFQ4kBhgWBGs1N/cpcNtg2nni+VLx+rff+C+WvTXbhIBam53+hkwAACAASURBVFvrvOB1WOo7z6rUudZ66WUXfvbeAvJCRr5TB/2+L329VOkAdO/tPVWaJ7h3HEJ1zmG/xyqR4o4H65nTpt0a36n8FqALvLWPF34bi7oaZOKGwFnb/1TKpwV89Xf+6YLtmVDhO1DJGn2PrFvO74BW7fWb0HBdFwrhOcfSTcJ33AQPYoSt4xfEp729wJb5sdZ3wuhdlSw0TditfXtau7vdwbtAPYG7cFwwbr8Jy1MRreKbpkV7qs2F5qk2t9a5zVh77W+dW/XPBd7WPfcdSCU6La3RVaEzFhX7AvcE396XMan0P9a3SnQhuWPNmuz7vqyLnhbuCflZsyrt0PXKaXwXfmc99LRyz/V2XdOOP+3bVbPzeQD6/E08fxNPDEwMTAxMDEwMTAxMDEwMTAycjAJ9gmB+CCYGJgYmBiYGJgYmBiYGJgZeioFrTzz+GgD6bVef+Y4AXYiuvTCwR6v1Vd884Hmp0huif/Kbf3HUxp3rVWIL1IXiHOeYtdWF6QJ2oTvgmX2A8wXn24Lb+unex/HSj8Bbm2Sfy1rpS4ncYIznRa1OA37RVJYWnL546Mu65NxPQA8gt045nxmTVu4F9Luv84/9UT2PilbrwZeN87mDpbPzVpb5fc+yBb947VBDXWV0q1VV9rJVrSs41SZdBS9AOxW6dV4rp4WbCcTdJ9QUKtIfsBWgJ+wroNxqY625AYCpbmcrNNaSOy3ec2yC/xybYL0Uvd2fluXaelOKQOiqKlvwaV8C8LQ9F4Sn8hyoWqD0yvOrVrrW4nkuwDXrratcthyCCnQSKLRoR/GNwjuV8iYEuA4q0QW7r37LrUs9C+RTpS4MT4ie9ug8CyAOcC0k5Dj7VH1bY50xaS8P8EeB/sa3vefFX/jlXz2l0LUP1zK32rvrdsCzJsQ3TmysZ46X98ZnWND9rgP0d70ShnsfjrFeKrf3WufCdGG1KvlVyqD7Mba0hfed8r1lvwkr1kIv54v7n6933/dVW3cV7pzP7wPJMxVv515K6FkW/v075TM6b+UacMeDBWfZZi1vFcVZG9u65ILvHaCnxXfagKdCfa+hrnX7MYgugN+Psd1reO/g/Ea27Rnf7icujWGBO4Cd/cSwsNxz9lrmKtRTLc6ceh+hufdeSSebyl0ozrhSde79vLdjyXrsPovKcprAXJW44Fyw7rkJ0HeFud+1adfO3XPtW6A+AH3+Lp6/iycGJgYmBiYGJgYmBiYGJgYmBk4GoE8QzA/BxMDEwMTAxMDEwMTAxMDEwMsV6AnQgTzAWwBOqZ1byS1AF04Lx0/ZuD/83YOK/CsHVXjWQRdwZwN871bvgu9VL72vpf65Y1CZXve6crBNt/Z4gnnhdSo/+SxMF0wDW1Nxz7iApkB0gRhb9qE0BYKpOPV8VejcVwiu/bxAnc+AOM6nT+abMReEv3L4LtznGb23qvNSpTeI476CZKEtVuaqrYXoaTWt/br1zFX/ci5zkDWlheSlpm2rePvXCl1Vs/fM2ucC0rTVtk8hrzA762GnEvxUXz2WVKULnDMBQlcBHQME9zoNCE1Vi3MewJrmOYJ3vzP3rMdKvGjb/lXfvFXvfC4b7h478bOA/W1fffGhb/3hAujaiKPspjb6L777UIs814A4Y36Zf/apzBZOCw+Fd6rUMyFA63atyblOWF5w8OMPLagOuKYfLLUB5u+//bAfgM44BejAOeFi3lPYTx/Ou/MtGNdS3mQO19ba3gm1ed/YmlDAs3Ke86RCXFt6HRZ0FdhrsVsHvd4XYrDXifHynI7ZOLVmfCZ1GBO6Fph0o8pdJwvdLN4Xvxe+uyrt00HCRB/utdvRa4GfnxOgsx6pPtemXCtva58LsxOK758Tmu8W7lwvjM/a5+5LFXqq3oknFeBpoW698UzG4DsQXZcDvgPG+WzSSarBjT+V48BtFfpZH161/l5rnCYQV80uuE9A7u/ZSt4IwH6sCcn5rIJc8G/yi7A9leEC8twvXPda+lNpbrKBiRAJx//J2fOnQLn9CNlVoU8N9Pm7eP4unhiYGJgYmBiYGJgYmBiYGJgYOBmAPkEwPwQTAxMDEwMTAxMDEwMTAxMDL8WANdAB6AAcIKrW48JC1eGp8s4a6CrEAdzUQKfxGTW6+xN+C9qzBrrAWyAvYPc+Hi/1eUP6vCbBfo5ROM3zCLTOfKZri7eSW2W40FsF+p1feb6gt/MhxAbqAT/5DOjies4XlAvugeFattM/84fynPPYb5/Or/XOHSv9AtrYL5RTVVv3bYCuvXwB5VaAW0fcbdmlY6V+78GCXrW49tcLWgu4VfQ2MBROZ41u9ql4Vo1+qt51K8gFkKVc32zYvSZrnDtmgChrAfBcNvuOzdrmbSGfynXWlbEmdATA8txV510w3/B9wfSG1trFC+hpzHWpiS8/V/3znnAuCQUqx000UH3O9ZUkYe30Ox9ZFu7nv/YHpT4GwgGnaUBC14B+eV7iinNVP6uitxY6cA41Ok2r6B1or8SCri3OOcQCKl3BIecLZPkO+ASeU/Oc/WuMv/LWsnD33t5HdW49q7Woe32F3cLxtTaxZo4zHQkYr0kfCct9Hm3dtb7nu5bqnMN1VTqg1cOl4A6FeQJqjpdNepQyEHovS/YA4O63proKdZNsjCPhOr8lrKXQ3SSPSuKJ+urG0UqK6XE6p9arZ+3Swl1lscpvVeCCb1qq0LPOee4Thqcq3brn2X/WO1d1Lhjn2P/89/+P2g8Edz9NgJ4Kc2Mw1ebGl7EpTDe2UwVumYDcn7bsWqYzV4BnQb6APVXnwnTHmHbuNOc9a66nOl5wbt/7vr2OuscSaAvIU4UugE/4L0QXnutAkIDc7TG3AdbZOBmAPn8Xz9/FEwMTAxMDEwMTAxMDEwMTAxMDJwPQJwjmh2BiYGJgYmBiYGJgYmBiYGLgpRhIBbp1eH/94u8XIAQAAwCtRU4DBmvfruocYK51+9lH/7S2n7n258t23Ws4T6t31ePaulu/HPv2tItPlbvW7iq1hexVWz0U7trD0wCeVbe9bdWBWEJx7ekF035XYQ7wBnwB8YTjKtlVpgPTOKbilMY4uEfBsEvXC5rXPVupTn/WQ9a+vmolt8pfiF8g/YEXljpVBbr1lDkuaAOy0a9KaGE1AE41NaAp1dUJsFUpe46AuYBzK8dLTX3+kGSwrLNv/3JBPQHmUvY2jM5a28yVYLxgKFbo9zxZwNF60yYECFVVDgv9V8JAw9Ycn+MRbKpsBozSN9+rjnWoiAWijNHvqu1V1Juc4DoBt4XvQl32qX434aLgeyu/6Yd7ozRHhX7uS88uS26hXlrK0599cr3QV4CaYA9gmXBOYEzSAPuWbT0A9o4Hl4rWJkjnGNBZC3fhHd+xcsfS/fVvOvPi3/x7bz+omEOlayKD/aSdvJ9XffvepzpdSKyFOp9VyxuXWtgL3AXka51RZHfcusbWLLd/Af5S5HdpAZM9yuK9AXa6Ili6QYv2bOznnVetzjnWLvdazuM3iXv5O6OtuwktK846HjNJRdU56+D6MX8qlJnbhKNZ/zyV46rDE6oLwVMxnoA865/nuVkvPYG9oJyEDvYL0LWU16JdEMx3Vd8JzblexTlrps25x1WAE+N7jXLP911Q9Z01yAXlKtNtJqH4PqUqXlAuRK8YbnhvKYtUsftupU28Y+S7qnrefxMhdrV51j3nmPA838+sbZ5K80yqSNcBz9GGfwD6/E08fxNPDEwMTAxMDEwMTAxMDEwMTAyc/HecgwmwCbCJgYmBiYGJgYmBiYGJgYmBVwxA/4effKbqNQMCqzb3ld9fKvCsfa4CHTCe9u00ALrKc76jHBe2Z18Fv0MxzvcbAfQC4d3SOr7U6I9+/5Qa3TGiNgd8ArAA9ABslL+qibM2ucpvwJY10Dmf/QBw7dRVkzv+BPQeU/VOIoJJCFWb/f4DfGcfTYAuLBfGL2DX9egF6Iwd2CasV0ULhAbUq4hVLa6yNyG6+4WVgjqVs0BhoBRjEG4DbrUSLzvxBnzWVVe5K/xmvMJzwbbHUxUPLFShDjDWRj1trNPWe6nMo2m7zTM6TlXPQMv1vW29tWC3P76rbHYtsra5KnTWW/jOdaytMN1kAJ+dtbHOtfXTAbbAcxToBX9v//JS15oMoOsA71+WGeB6rtG+HOAGXAM6Zr1l5jvVvNaZr4SEVszWXJ69WtcIGFXXUqNce2mgOXAPaEvj2M+9+u8WQAdwqgrW3tpGPzT68V5svUcmVZh0wTnGiN8Fo/ZhkoYKdOfQtbOUQMacqnvnz2tdK9ZER4dVL/3OR9bnpTrv841L3SeIBdbaxBaTKITx7NeRgFjgt4GxsMZsK7Z4/yIe09HBeRDUZnKCILXUzA1H0649Abgqc/cLwVNVnvbrwtUdnKdq2fMToqdtewLzfWvsEZ/Gr8DamBSoZ7mCLBlQSvVOEjGpINXs7GcOVW6nKjwBt413KhXm3sd7eL5r4JrY1+4MYH++m97bd1fretXmjjNrpGdddAG7yQcJ1VkPfwsSuKtezxrpueau8yjQb/7fYtNmDiYGJgYmBiYGJgYmBiYGJgZOXqFzcNMHMG3mYGJgYmBiYGJgYmBiYGJgYuAnqYF+ywdvfdXnnvr2uwToqM+Bd8BB4DOfAbuAcBXlqSBnv7DafcLytHUHxCcQB2hzDfv32ucqyK2Dvs5v6G5f2d+C/Q3XPdc+hdWCcKAmcEu4raU7WyC1qvGqTY4q/f6DnTvgLEEY59b+BuI0+6XZL/dQ+S5M57OwPWu10y8NMKe9uFAO+J6KZmtEsxXgedya0NY5TyvxpSAP4K71uXbZwEVVvkJEVbNCWeG2qu9U7wK16CetslUKr1rprfgVggvWs/561j9XYZwqYKFqwbZW3duW+rqfV5W56n1V3x7TeUFIrq38UpQ3LFehbr1zt57rPBEDzGvB2nuvLQt3FOh8B0Tf9flrB4v0B/+gaqOXEvnS9Ypf7cJJBPjYlacXqBOgAs20yGYreBQ+ChJdA6G0sE+1LNeWhfvZg901oA0Ld0Ab51IPHaD+N/7W3yl77jc0HE0LbsG44NGaz8Jx1z9rou/JFZyD0t367Nq9mxjB+WyJd2OikgQ6oWMlh3RCgrbn9Pnh+35vqdEF4vRTNdE7kcN3od6LXrdUyetGoB27SRb1/nWJhHr/KA/xwAtLjU4caOWua0LC/FU6YLOwN/HDxAiBrAkQ1j8HbKcFOwCbBiBlX4J0P+8K9RvVRxeGWxOd7z8OoBt/NhMt9v1C8LRu3+uO03jmtG7Pmue5n3XUTSFrpBvjQu20a/e76nNjVZcGYb7vDfDcJBDWRfhussMO5L03EDvH4/3oV6v2rMmeED3t3D0mKM+t1ydATxt3gXquvy4CA9Dn78f5N8TEwMTAxMDEwMTAxMDEwMTAxMDJAPQJgvkhmBiYGJgYmBiYGJgYmBiYGDitQAegv//eb3zJGuhatwOHUGlb4xx4DhAXZidIVwUOPFeVLlhnHzBeZbj1y92uWui95R7cK+uhC8OxcdeWXXhO/yrByxK+7yGUF0xzTFgNzAJ6AbXp2/rjQG2guGBbGK7KlC0QjOOpUudeuaU/FcT0yXfBuTXQ6RdQz/nWm9fCne/a2gvthOOlPG9LcyH2gnu9XXXP7z0Awqz5LAxWhS5I1pIaaM4+waGgUjAvDNcWXNV11Y2+8PiqN815AHQUnN5LdXAqyoWkKuKX4jYgq4DVhAH69HxhI/sqaaCt4q37bhKAUJzztLonQQQVuQp9FcWCUYG4lvoq0uvduHiAownna3/XYQd80+hPRTOA/I//w3+urer4J5//QQFq3j3invgiPriO+3KtgFZltxBNeK4C1brNwkdhokrsrBOtEpZt1l4WnlL/HPgGVAfwA9QB6KqQE4LyHKwbMDstsIWGwntt6427dEAQwAO6tZOnCY+F6M5bqbwbzNNfgfCuRy4EVSlsjGddeOayoPeFQwKFcWnChe+VJQpMoHA92OIOwboZxyaxWNtcRwOdI96XtdMvHlTqy7mg50CIbvzzXdiadbtVJasuThAuDLd+Od/dekzgzXpaH93msexTUP6aN733hspzVfHGonGyA3TPSWt2ky5Yl7RNF4qbUJBW7X5PdwMBeQJvlePGfCrSU5Xu+8K5JF2oKHf+heQC9uq3f1+11feeWrN7H/ZpH08yirXe084+Ld1d41ShJ0h3vwkv/h5kDfS9CdFdL2MnAfrb3/ne15FYN38nzd/KEwMTAxMDEwMTAxMDEwMTAxMDEwMno0CfIJgfgomBiYGJgYmBiYGJgYmBn3YF+g7QtQ4H4CZAZwtAV31+3zP/ccFzYbmW7lq479A8rdaBx/bLcWut05Yde19H3wJ9+kyIrvJcaO49Ae40IbtAHKgt5Cwr9isHW3XrujMu+lFJzvnWa08IrqrcfTRgmSriNZd3PL7O0+pdJTyfmXePC1tVMAu8VYir3BbkCq8XOOya6cIkIeJev1k4zH0W5N4UsMJr7a6FldbYFmQDoQXawkSvFYJzXKVwfW5ILvRUDe55WQNd8K6iPPvguypRr7WmuuA2a18L85lP76d1trXRrSMvUNfuv2prd3IJa6aC3vXR/l1VsopjruEeWLgD0FGiA9EBxF984tmCdRw//7U/qGsErstV4MLBnp7zhICAOdS9wFDgG2CMrapcATrnqs4VTgL5hJ1pBa9qVfUxwA7YB+AHqAPQf+GXf3UBWIG9a8R3wKdzLnzM+uvGmQkYugcwNtfIeu9CUWNZmK0Cfa1rK9mdp1SfJ4Rmy5wLYE0sEGCvd6vHyfpTdgFon6UFTDQhdkjCqGSWttrnepNc2GcddPrx2rLh7wQCm5b0AmDmyzlUoV1receDpxTKrlfWMFcpnhBdlXrWQucagbhgfQfoxITHWd8doBs76YRAXNL8vizXG57v6vN8Rp/fOLK5Xs6JFuqpSDeO2Kd6nfh1PlOBnrXKtVtP5bnfM4HBewnW09adOeBYWsH7nvLM/hYzJ96bMWZt9vxuokTWRRegu09wbizQt4kwrluq0GkmXriO7PvH7/rIDweg3/y/yabNHEwMTAxMDEwMTAxMDEwMTAycvALn4KYPYNrMwcTAxMDEwMTAxMDEwMTAxMBfVYEORBKg17ZV0cBsaprTgN1p404TmhfI/sqf1GfhOttSkD/6/ZfOoe5511DXsl3bdgCyynNt11W8Z31zzgVqCuZVoq/+ox4753Isj2sDnzXY+ayiHuiu9XvB9svPrbEAx4TnNNXmwDPgJ/MDgM9rmVNrIlfd9cvPlPocBbvz7VxwDfC3rJ8vH/rlGr4D34R4BZNRRN/5yEFV3dBPe3JgjzbRCxKHmnvBwgaRu0JXIKkKF4gIHPZeAi2uK5DeUDRtuVWra0UvvF7X3PbVUuVae10QL8hPC3fBZlrQa/fOOfTP9TyD9xLya2Oetuxp0y6UVUWe6nMgKGMUkjpvWr6rJl516TsRhbVlzoTsrCWwHAt3VOcA9IL2Z++tMQpluYa4qtjo6wSAwEDVqUAwIanwMpXhWdvcz1xTwO/s+QJsQvSslww0LTh35gPVH/f8yD2fe/GNb3tP1UDXItya1kJDAWmqdQWcQvBUnFtWQPhOY56NFxMAVB8L6nUVMGaX5fo9T9YcsY4quO2X84SuQnXrq2eJgHRG8Fz79x4mtzAOky1Yc+3bK6nm8sG1QGv2qr+Oq0RD9ErgaKeC1Sfwn3rzdz1U88mzCmIF1Frts7VuNiBUOC44F5inslw4bvIDn4/VThecC+a9Zr8+gb324Y7RxA6OZUxq66/a2sa1uhcI0Y0rnp/3wzhivoTXxpkJEQJt1eAmbphwkNBcUO35nktLBbsw3TExRuPRmDQxJS3aM9HFtaKPtHPnGo8lQPc7W95F+lJtnhDdOU+AnmshNDdeBO98dm04JkB/y7tvvWUU6PO35Px7YmJgYmBiYGJgYmBiYGJgYmBi4GQA+gTB/BBMDEwMTAxMDEwMTAxMDPw0x8CuQP/g1Wd/CPgD+AKGrCsO1P3CM396Cp5b8zwV5u+48p2lRPd4wnb2CcdVnKswF7SnBbvncn+vZ2zAaWuo0/xsvzRh+9lH/3TdA4CuSh5ALnQX8Hs/Fesq0FPZTt/WOQeWp707oFuVuhbcjHe1Vih7vkpjQJt2+UB01kCwDJCzvnmtSYNcaydbTxn4rNpbS+is6VwQsGF32rGrXlfZXorwiwfb91PntYJWKClcFErn/VNFzLkmA/CMtlKcNygXuKedvABTZbhjTehNvwJQmvAViK4qmL65X6nR28Y+1fja4GsLzj6cF6xdDxzluVlb+ncMglPr05scUeO8dH25BRRQP/dYXc8xADoK9E8/fL3qoGNXDmxkngoAt8U5scF9VVQLVa1TDgArtXcAymN22QI/4ORrf+tc7VNVDlhL+2fBOdtPXf58Kc5VrALQX/+mMy/+T//L319Q1vsXgGvgaM1o773cBzo5Y3c14LgxbPzopMB3YbyxnJBTd4KE3zonuJYJyO1LiC/8XG4Fdz+1YttGf8QlY9ROXycEEhzKRv7up+q9JtHB98T3hmuILZMzdDFgTLo/GH9AdlX3fNYxQIC+K40FtKyHdekF6IJuwbqA3LrX2nmnvfcO0I0tIbnQPJXLbIlftjlG49Eki1e/5dZTdc6z1rnKbeMnP+ue4W+FwFxYLTy3PECqwoXXCc2F1gm5E5Brv27/9e5tynX7d210SeCdyn3WQdey3SSTvFZIroV7wn3nMq3cTXIRhmuFn/XT/ey77bp5XSrSTZ4BoL/j7MVrAnT+NrjZf59MmzmYGJgYmBiYGJgYmBiYGJgYmBh48ytiDm76AKbNHEwMTAxMDEwMTAxMDEwMTAz8VRXoAnTr+mprjlIataz27VkD/ZPf/ItTam8+sw9wDZQGjHOetu5ZL32H3qkkF2DvoF7FeELzUot/5U/Wudq9ex+31lAXmgvn7Zt9wnRBu/f0vt4bWArIZ46AYswRsAyIlvXPravOvfksaLOGOrCNbSr+hbL0Z81lVczWJs/636mcTetp4fRSqwOPW/mqet266ULGuvedjxzAYINPgLTK3wTb1X+Db8GjMBwAaG1px6PSVlipKh51qSA1Ve3atgu7vV7ra/oRbgpkfUaBW9q0C06tQV0JDvc8Wesh8GefiQrOm7XMeRdYn1SjVx3srnte4+oa6cJ3zvUa7o/yHIAOOMfOHbD2/nsOgJxnIFaqZnk/d4H9tj4X+HGNoOwNWy3qtMkW0AHOhegATeFbWn+rXqYByoH0KM4BqoI34Dn27QJ0lcYqxdNam6YFtzHgfkF6wm1BdSrDBeH0b6ypHk9I7nq6hh43kSPridMsRaArga4Lq9wA155/evXvPSpOeqy8t6xhJXdcvFbvsIkrxgzQvN7vK09XAoWxpXJetwH65DzfG+5btvJtPS5MVVWt24C1sLVl323caUJz11borTU7TbV5Xido3wE6saUaPQF51jVXQZ37tHQXEmvhvjslpPrb+BWOM28qwtnHs7u+AnmOCcw57juTtutarAu4tWrn2pr/HoOuD5nAkvbu9sda+j37dKtrAOvJvJxS1vccuV+V/l4/3fIKQnJt2FWQpyMB7ZgKnXhhDMdqqQ9An78f598QEwMTAxMDEwMTAxMDEwMTAxMDJwPQJwjmh2BiYGJgYmBiYGJgYmBiYGLgxgp0wFHVeD739KoZjnU7gBi4vNc2F6S7L48Jzdn6Xci9w3NV46rQrW+eUD6vAWIDwz1He3VV5NrIC+YF64J09nkOjc8067ubKKBFvep6++AY6nHGWYC01fqMX+t2rgOMc5xnEqjzHUCtCr0s3e9//sUznznUO2cNVGkD47QRX/bhDa1TfSvsFiAvq/TbvnqA4gEsPV8YLcTewTvXrJrk3bcg3msWRI965gl/BcmqtpdC/uK1Bd21ZxaEcz/V5Wn1zTUcs8441witBbXCbYFtqt1VeJsoIPDUDt761Nrte63wVAcBn2kp+wHmPHdfY/IEsVBJFfc/X8eAqAB0Gu8TKnSAFiAdiO68ajsuJLZmt2pU7ZwTegNKs5a1oC3BpapgwXnafKNgprnPfq29/P7bP1X27QB0QSz9Aecdq7XVVVBbL1pIbvyl1T/fVZizRlrZZ39eJ8DWRaBqkHesZhx6D/s2ISEdD3RQUAG+6qqTqNDvXcHtdj+oczshhKY9v3buJMRwnvXUTdigH0C7anXfL5qW7/TDeYJa+iingTseLNDJfKoo1m6dNc4kCAG34Dvt2z1OE5SrQBeg20ym8B6er2X/bt0uVN9roKsqNw4F2iRVJDxPiJ6qcyE168c1rq3vr04HrLElCtKOXeW3n5k7oXZC9LyX71sls2zjMA5VprsvFecmPGQigPf2vU2FeZY8YM7Swj2dJhKgp417gnKhulBcqJ6ftYL3vAHo87fw/C08MTAxMDEwMTAxMDEwMTAxMDFwMgr0CYL5IZgYmBiYGJgYmBiYGJgYmBj4L1OgAyMLUJ57ugC16nOs2FN5zndgskpzIbp1z4XTO0QXQi+FuGryh7+7apOraPcYwNv7C8itbQ7cp38U6KluT9t49zNWa5tzPs1xA+hpgnT20Tf7vF7A7nMA0K2jbgOWWsccIC5At1U99AbkWnvTCpx3LXRV4JXMEDWhAbfakqt6BPBohU0DPAs0Sx3ZED1huRDSvhK2Cx0FjcJAr7MteK7yN44JylUEC6yFmjyTtt2etxT0dz6y6pirVvb5rY+uAl2LeRX0AmjV89p5C9MFo6rvU8UvQAd4s0bEfyUp3PnIsm9/X0B0187kgOrr/NN1nHVkrVEcEwsmPwBKVaBj33720qMFzrFLf98nHjwA2gaFQkUVsVUn/R13LAtnwScwW0AKAAeiWxNdW2j3CVYFooJzt/TFMSE6wBSAytgA6H/jb/2dAugCt+jJ0wAAIABJREFUem3hVQoXbG5FPeO1TrkKYddZWCkA10JdJ4NKlIi1d20zAcJ3IOHnAvF9Df2zptVPx7axZNmChNYAdN8pEzdUxAv8037eBBHLC5gYQvzRt89kLNp8ZmNHpbxANut1C85pwmuttwu6tpI8QbdW7Fm3PKG4inNbwnP3eS+heCrOhecmZQjQVZ0LeFWbpxW56nOTRCq54fYvL5eBUyUZPnGA1vsx5n2vW67V+27V7ruTc2pyQqrdjRfjM8exg31t5FPtvpwk7njw1H0dh/fXVt4tfVjvXDifAN1rrFsu9FaBbhww156j8n5XoWcf2sH7eRTo8zfy/I08MTAxMDEwMTAxMDEwMTAxMDFwMgr0CYL5IZgYmBiYGJgYmBiYGJgYmBh4KQbe9pu//fOnAPql6wugA4CBxAB0gHICdMH1e75wgOEqxNOyPZXdqQBnS99cV2r1tm5Pq3Tv5ed1/03BnoA8QTlbADn3VkHulv2eIzhXTc/5HOP5aJkAIEQXzqtWVy2vXTugVSt8a56rlLa2tspmzgXELnvxhocF6+4+KFwFg6nwFuws+MznOw+qXy2PAU1LUd4gO2udL0VuK9qB4qloX59Vokfdc8cjnBY2CeUXfPr44XzrGHu+sHuvpS5cBJYvC/BWAZsEkPXZrUmdimPnKSFnJgSs+b77qYMKOJTFZZvvti3Yq7b1+acXQBeeq1YHlDLeSopoC3fOZd05r5TTXUsdgH79//mPZeuNAh2gBSizfjJNKAm0BIQBEoFcqsLTdtva1gBNFehZm1wVugBU0JrK81SuWzOb+udcRx/cnzEC0O1HBS3zLfzTJlvop/21gNJkj2WZDvzsmu9p2a9tt/GlKjzV7NYwpwE+Baicrx2+dcQF6Oyz7nlax2vlnsA07eAzucM4Umnu2IDvJmcQT6x9ukIYk1xHS8t5gWxCaOGr8FO1cdr2J1BP6J0Q3YSI3drdZAnXO4G6bS8PoBW799HRwHGrqBYO81lleQJ0obKJItY0T0eLUzXuO6nE9SDxxNrkljewj5Vwc/bqKmOgSjwh+l5nPq3/d2DufbjOMgU2kwDoo96THk/Wrvd5U32uIj5rne8W7jdqnq/yXHV6WrO7NWa0iRfA8z5rCT8Aff4mnr+JJwYmBiYGJgYmBiYGJgYmBiYGTqYG+gTB/BBMDEwMTAxMDEwMTAxMDEwMvBygf+i+pz4qQAcQYi1eNdAfeOGUAh2YLtjWSt064SrMVW3v4FnQ7Xdt1FGRY3/M1n3axfud8wXz2qp73PsKz7m3gF047nfhuNdwDMU8W56D/SrOU42efQjwfY6stW7tc+CZKnOBrdbsgl9VyWUJfs+TtV11yhs2Z/3vtFC3VvheL1yFbYGoqA2eNaiF0AuAN3hcdcNDrb7Usrd9tQCxwNMxCTiF/Fmj3drAfOb5tWVnTvI6ob1jS8U491zq7nOP1RypIhdAAisZk30LYzMJwHuqYs4EBu3CnVvvUaC8FeU2kyO0c7cGus/mdcQB/XEuYNUa6pyLXTsAne3vfvaxBecAXipYgY6vfsutBbaBW8KutGxXea5aXDAqYBWeAjhVKAtjVSGnzbfKYu4ppLc/xvVr7zn7IwA6xwXzQktVwsJLrauFn8aviu5ca+OrQKrx0NcZn8Jt19W65dl/Jl/Ue3H3U8ulQdhdivC2fmee2To236Uae8cw6yUk5bPAnGPWLKdPkyqMyQK/bfGvPbvwnHhQ9a7KnbYrlYW81rnWtv+YtTotIfox+/ZMnEiobhwlOFd1nvEkgBWip/pcG3KV1EJ0tsSxz6bNetY9N2FB6C3ALhv0Tr7gmlSEC9bT5cJ18pyE3KrOUyGfYF3lv/fl3B2gA8dNcqmkibP3rmQlnoX9QvIE7vnMWaM9EwpyPNZH16Ldz/kMroXH/ksgui4Bqtf9TRkF+vxNPH8TTwxMDEwMTAxMDEwMTAxMDEwMnPx3noMJsgmyiYGJgYmBiYGJgYmBiYGJgb+WNdCxcAeg33b1me8I0AWHgGDANQA94XUpw7sOeNYc1w497dr3zyq2VXF/9Iv/96obDrwE3lvfnL5pKLvTkj3V5wnohd00a5vvINzPtAf/3X9a4/U6G2Cd+3nNDtFVtmetdhXojF+7dOsrO68Lnje8LRXz+aeXRbu1mlWjL4V11/AWHAmVhJBaZGc987SrdjwAP+Fl2q8LKG0CZ/qicR2wWuAonC5leNsaL4vrBmHWPQcmai9vvwnhtfDmWmJAqOp81Hjvfmop8p3XVBanGl6Qbj14a5mnaj6hugCVPoHfHCsb/b5n1bRXfX7+6YpZkwVUl2sRT/zSR6nczz9d311n5gRwjoU7WxTowGlAOnAO6AZwBaJZuxyQCeyy5jnt9W86syzXaXxmH63g95kPLIUxTYU7n4FmafsMfNXqPZXvXO93rkWRngBdOFlx12pwQbjqYCF32qEL2VN1vpI3AqwzD8aUzgbEFfu9l/FbFuoN1U+p1BusAq3z3roqmKCS56+YpP9+11Q/s4alHu/EjbKg73GsRJRuPm/WbWefCvWVAHPnI6es4lN5DiQ1CUL4CeDWBUCAnkp0FeiZPJEgPc83PhLKJzxPxwIV56rOM16IU+t3q0JnX6rQaYxfaJ0QXeX4SpzoufRcfn+E1et3quPF81I5nnXJVYcTj8Z8qr8TbKse97ufVakL9LO8RCrQhf2pWk/luWr7tJRPyM8xxmc9dc8BeLsvgXkq0q1nv8Nzyz14jSr0VKBj3z4W7jf/77FpMwcTAxMDEwMTAxMDEwMTAxMDJ6/QObjpA5g2czAxMDEwMTAxMDEwMTAxMDHwkwD0T//b5/6BAN36zQBB4DkwGLh9rAY6EBm4ra16qcXDXj2bgH2vgc41Ank+cz/AOfcETLOP8wToaQe/K8JTZS74PqY8T0COWp6tKnRruHtMa3f32ZdwnudgzIyP8QJ/ga3C01UX+Z4nCwBqOZ5gXXWqECnB925tLdDju1bUaV8sXFpQsj+r6hWgC6u0fc96017rfs7XSl24WCrTsFv2OMeE+ipyrfEsYBasOy+q6VX5ekwLe0A2Y7BGsUDdPqtmdijll3q/n8+5N2mBa1mflVQAdAtLe9bPa1DAs2bEJ2trXXOBbdm0P/DCchsQttP/xx48uA6oQheiauEOQL/8xLdL2frFJ54toAWgA64K5mgALyA7UFylsNbrAHM+v/Ft73nxlg/8ny9+4ty5H1FPnXrlHBfAA96AZm9oe3dBqeBcm+nd5pl15vOH7/u9UwBdxa3KY+aQtRN0Mvc8s4kJWribpLBAaEDzdD9QYVwgNUB2Wq+rJOc7a7Tqiofi3f4sbWDih/dkLKynsDRrrBsTCbqtmW79dsG3cZ4qaRNEHLfvvmuczyRETotv1kLrfcGvcHu3Yxec+/1Gtc/znLSCT0huzewE8tY+Z+0dRwJ0v6tCT1U6/fl8gnHixN8Q4zxj5xQQ9/cw3tOMKX8LjQUhes7pXk9eNbfftZgXtB9bjwTqfs467DbXU5DvnNhP2smnqtx+90SDVNDTKtGmE2pUkmftc4H7Xu/c993vwndV6DtAv+WDt75q/qacvyknBiYGJgYmBiYGJgYmBiYGJgYmBk4GoE8QzA/BxMDEwMTAxMDEwMTAxMBPawwA0LFvf/cnvvKDshm/dL2AIGAJ9Sx26sBza5BrnW7NcuG1lu5aracq/FidcsC456toZz8Ava59+LvLHl61e/avulyAnmpzvgPMtWPXkj1rsgPE+S5EZx+fUaX73RrqqWi3f84VoLMFrtIApsIyoK1qZ6G0xwRsQrtTALshE+AYoAMYAuaq8LZ+cKpj2S/UTgv4VHdm3fN1bcBFGxAnFZZC9N0eXWC14GRDSNWa2lR7D46pBla9vquBeQbnJZXJNGG7duvMZdaHX8/V13GeimHGwtqwD1WwFtyCfWLeZyu1eKvKuaZcAEgqeeCFguOugzC99rVa3RIINOugc04B9jsfKYCOAp2tynOAN+CLfqwJngkTKk+BoWnlDiR/7a+8teA54ByA/sXLF39Ef8BP1lFwJjRXESyw4xj12F0ra57TOIdjNAD+z/7SmwvMppqWuOBaYWLWkRY4Lrv9ew/vw4qjnnPmd9WuDueDXM8E2XsZAtdD23XfOV0NvD/vkPbqfOa3LksieN8EtcamMJ41dYwVF7d/efVRMdBx7T6flTgQuqted55U8qvKFmIL0f2cdc8F5QnSswa6LgImXbA/YXrCcVXqNJXKxkrWO1dZngCdMSdAt+63yRlLlf7e+07VPiduTpWP6N+dVHALzU85C/S7bIkIYXlasAuf7c/nScV3ft4hONdzL2N8P8/7+junI4jP5nkJwLWJ1yJemM67LRzPuulZIsGxCtC1buezvw0J0D0uQGd9WUPnYAfrHB+AfvP/Fps2czAxMDEwMTAxMDEwMTAxMDFw8gqdg5s+gGkzBxMDEwMTAxMDEwMTAxMDEwM/qQLd+ufCc6AwNdCB1qjPVaALxrUtzzrmwnKgc0Hvh7+7YLP1xoXtQmzhtQCcxvUqyPmcYF71eKrQPVcVeZ6TivME5alCz/P5rq37e77wvQXhdwt3a7KrmGfr3AFQBbBAPsEgkMV63ztETvWi0BrAVHASK+C7DrbswjgVkkJrQbbqWFW0AqcE5NYQFnamUj1trh2HoCrrC2OjrUocSOZ+AdBepzhrTAsOHZ/gMgGpsJKtyv1ld99AXgVxgnvrpWsVL+BcqvV2BeAzz7Bbw6ternv0vrSIrzrobeW+6sR3qQNV6B5nHwkVvBsq6Rk/6nMa8FyADuhk7lB6A6tVagtYU6mqlTvXAM9RoQPMUYgDufn8kXsOYI5zsma5rgVpoa9a3O+cW2r4s+dL+c6Y7vr8tYJuKNDfgKr5n54/pdxNpblJGwJE7cqtZ26JAUF1jiPdBPL94H4LlLsuqVzv81N57nGdDbwv86sDAa3e1U7eWDXZP/RA3Tdjk5jSLcIkhyrH0EkgujMI1okv53qB/naMMOFgh6+8S3xmrtNiPyG6ynHbriD3s02A7nGt3BO27/0lwE+Qn6pz1kTrdr/rWiD09XfKcwTsqRxfJSMaFidA97zlcBG/k8aLLgWZxGETJKeKm8QQtjscV32eVu47CDdZSPifwD1/+/b67AJ0Ibmfs9a948skhD0uqp9+NwXnXudz0ucO1gXorPW+jzUXoL/xN/7lV0aBPn9Hzr8lJgYmBiYGJgYmBiYGJgYmBiYGTv5/9t7t57PzPM87yqHhMwvIgdEc6EAndhMYjQK7hRHD+gCDAmIqoiHYIiRYoismlbUJGdLadGhqKsxYA4riKCNxQm24F0mxtAeTgKOoAlWQisxo00Jt3AMXiWAD/QuKHmmK6/k918v7e/nRktuDD5h5Dl6s9Vv79a57LX7D673v50MD0OdFmBdhNDAaGA2MBkYDo4HRwE2uAeqff/GFV95n/XMgsNHttPsefanAuQ50ALIOdKE5jXkd506F24JvpwJ0ttEBLuDeXd8F6/u38eqCemufC74TlBvZnvXQM6p9r3WekFxnusd2fx3nxtXbF/QZoNToeyPLhba6oXU0FlxuKO5UGCRoY7tyfIfz1nrCAmkhjvsbY2xLp69udkGVx8yIeM4p8BEkZp3iBPfCJ+cT9AqbPAbnFkQaoc48OhP0W6t8B+E0UhEAlUSiWzfeYwMpmVZywvkrr9Vyv/exVTveGuycg+dkNHsNSGhAz3bWSQeA1zUB2yOGXoALfK0EgfNXVqx7Oc+JpL9wtQaeCOqJc8/YfkC18e3UPwdMA/QA6dwTcJfl1pq3brbuVUEZwEt4DlAHhN12x90/AZwTB3/t332jps987cmC6UAyAabH49jpxuX4XAvH57icg+0AcXc/8HQ50N/05v/qWA30PUrbUgMJobkXo6lzMIV6TL35HriMvvPY/l5JCmzfMN3BEuorB4u4L89amG4iQMas++6xTQ3WaPCfKQo8XwcbpL5cn/edAN40hn1gCX2bMd/WDec5Czd5bk51EacTPZspA2zP4Amh+A7VdZ/vNdNp6S534MUO0N3mzbfec6z+ufHtzAuDXZfucp91pl7kAJ0aZNAQO5MIXJYlKDIlAP3qRrftkJpjCKbT3e217RDeb51gXWd7fkuNc2e9A4QcIJFwXAe5y3zW6Uz3nLyHDkLwfRN+7zHuHtd9ErDrNFdPHMv9+M37jA52gM7gutP++2Ta9MFoYDQwGhgNjAZGA6OB0cBo4JYbog9O/QKmTR+MBkYDo4HRwGhgNDAaGA38bTTA/yC/+vVn37LXPy+w1FDY+HYa8xW1HnHrgOSE2XtdcmuJLyd6u9JZJkgXqjPleMate0wAem6TrnPrmgvIE4Q7v9c1F9gbw5510vd2rJZ73/snH/1O9QXufJz4AFegKnXQBa1CuQREGTMOFAH2CNaOxZm3g7cAeQM9gU06OlmfLkpdikKmhHo6fj2W4EcHqIB81aYOVyjg0f1p6ShNV2m6kgWFuicFZqu2dffRitduECk45zdw2jh3lgMsiV7PmvIVkd2gHf0mwPT4gGyeT7mFL1yt49569kpB9IK47NtuetZbg93BD8zzLrAOYCs853hZ657l6EMQbxQ84J95ga0OdCLcAdPAc2A3QMu4dFzfXI+wu6K/G2bTgNkAdN3mxLdzjO99//snNkA6DnVgKMfkeIJbgSiNYwPTgK/GO+t6ZX8AOrHxwlCOI0g3qt3BExyb+1VzS5OtA+ter5rjW4y2KQnpFHcABefzXVM3VV+cPjr3/LESBw7KWAA+BraghSw/4HNTYwJ2yzF4HtMQ3K4GcISrf9Vkb/2od6A8rn7dylnnmnfHqHT63P5PYP3WcI47n+5yptmE6LrObQnPM6bd5bvjXWjP1LIAbPNLv3d2Tf0WpNtcHbAsEy0y7cJ5Bxelc1utOODCAQl+Y3T15+AE+lR90qc6uQXVWW88BwQJqx2MlNfvM3LAU8bHe941KMrG7y22PePbE6qrhQToxrgby+5ghqyDLlB3nu08djrQHXTDs+f55m+f+QD0+ftx/g0xGhgNjAZGA6OB0cBoYDQwGjgagD4imA/BaGA0MBoYDYwGRgOjgZtdA8DzjG+n/rnuWaGP8JwpzVrlAmxroBdofuLVY3XGBeyC7qyFvgPvhO42Abgu8ITZGeVuLLstY9vTbW5d84TsNiG81+96z+c6XfeAc/qDe8dFDVAHqglIhWWC54LfDXmXS7cdihn9u9zTDWYEjIByXeAZe8xyoXlGDeuUFN4IgYxBFmY5FdgI5Znqwsz4dvfxOnSVCsuEPoIw4Kr3k3HzglSOITytZV0Pm2sAVFJDXJd4gvByol+4umqKZx1s65kL2FmOC5znVDHrD1wr2MkxrUtfz62j91knFK3jNzBnX56/18GxF5QHznbtc2G6bvcqh9CR7hyPbQHnAHSc5jQBuKDPBAHc9UI5nOpAdYA7sKwc4rd/uPbDbU57I3huYxv2deAGkM0Y7oTouJEBagJca6KzLxHuRoqrYdML6Cf1pjO9UhRaPw4qqYEBPSjAmvO1X8N3npl1wnXiC7OtcW5t8X3ASrl/W0/WJl8A/b5Dvwrc1QmDMjiWz6cGSMSgjXSb1zM++0ztU8+1tzdlgG3Qyoqs79h/vws8U53KgmQHweg651lYp1qobu1q5wXawm/BuLXPheY2a6HvNdQTqCdIZxnucpbpQBec+56nUx2A7joBNc/egRX1nSCyPxzbfuMSnPud0Qnut5K+9RsmMM9BSauExZlHSqsOEkr4XaC5o9Ndlk50v3cZDX9SxPsaBBRx8kJzt7FUBYMl8hgJ8rMsQ0bMC/KF4Q4EUBM60LlPB9RkzXO2d7lgXRc67zXg3N9q4qQI93Ggn/7fadOmD0YDo4HRwGhgNDAaGA2MBo5ukD449QuYNn0wGhgNjAZGA6OB0cBoYDTwt41vz/rnAkDdvAnQdaEbXS4kp/73SfXO2U43uS1rlyeo3oH2DsCNT+c3sDuBOWA8IfpJ0ey5vcs++KU/P7Yt1yRIz2h4Bw14Px/78v9cDSgLQAO4liu6IZmgTKc5rklBuPBbN67zuseF4el+FGAL2zLmOGORhZkJ0xPGCJ8SLCWY91iAUWOkE5q7nft4P8I0r8Ntyq0ZbvME9llfOutmC8M59l7LXHfwvQ+/WGUFsl55RTdffHH1u2AUkGnN8qqd3jXKGSQC8MaB/raPP3dIXTh7ZUXw80wrxr3nC/z39XFNRrcbz855gP0n1USnDALHqZj3+56q+G8AOo0Yd8C4kctvve2jBYwF6DjR2Z4BA8wb9862uM9xhOMs/1ngeUJ0XOtog/5zEEZGcwNggfOAN7QAYGN7INt/8V/+xjEHunBQAKkTWEex2je224ET5ajvaHQBqjBSSM4z5P5ZbnQ7fUgf6dDP+vWC9EoKaLc5x3FQBM9UB7Nx/7zL5fp/5BDtz74Jxb1OpoL80tLZZ+p4wnyXG+++Ehx6MMBKWuh3eoezLDf+3HdKgI4uEmRnHXRhN88sobhQlCZET3hu/et0snMOnrfnc2CFLu6E6DtQz++IwJd9edYO1HAAjY7t/MYY/e/7r5bUjwkCy6He22Ykfkam+/3Rub07wNVsOtE5lgOalsO9Nen2DhARknvuVTYjBgiwjeULMq49I9vtK6/D7ZhPN7nwXCBuLXchulBdmO56t99BurA99ZAA/Z2/+95fnL8n5+/J0cBoYDQwGhgNjAZGA6OB0cBo4GgA+ohgPgSjgdHAaGA0MBoYDYwGbjYN4C4DoBvfbv1zGmARKHX+yW9f/1d/9oNyXAOpBeY60IXlWQvdyPW9HrpObmPTAdNZX1zHd0J2wbhudePWdyCebnaBuTBc97kt3fBsY9S815CDA/wNOC8X8+WXC5TSCsoB6hqMLcDX7kXr9tKyhriwPJ2RurjTDSlgSWfkXoNcgO3xrT3seTNa3XVME6BndHHWKt6PC0zLcyeM5zorUrvhzw7qM45bgJ410gXoQlD6WwipA9zobQEly3UAsw9g3Gj1chJfOIBnBjfoGKaxDqgNRAeeA875rfsc/XNcdMtU0CqoTUDuc0cPpBA4eILlOpQ5JpC2wGwPsjDCHYBejvIzj1z/hV97d/Uf7xwDBITHNMA5kNf65AAwAPqnzp79yUnwXEf6G4F1oDvH8Tk6aEJYaqSzEd8ZCb1HuO8DObIedD1rkhdaj8J1QeqKVf/Ms7UMR79Q1UEWQkqfccbzZ316mg50wTZ9X6UVehAFz08Ibt17o/cLfrZb3ASCioS//+Aa1wWdJQTcxsEdaIFtuX4GfgjMBb7WQk9Im/W1ufeM7Rag6zYXbOfvrF2eQN1nCBhlms70vY46z55tfM/fCJS7zm+Jz9zvlt8L7sX9/JaZQuD7Lnh2mdOM3XfARCZ3+H4tF3u7z41Mz28m6/M6Mx5dh7nXk+kdHs9j6Db3m5bR8kLzPbLdd6D0+KnXYtzTeW6cvGUvhObpmPeal4P+7vPVBOQJzZ33mOlCF6A7qMKWgy0GoJ/+32XTpg9GA6OB0cBoYDQwGhgNjAaObtA+OPULmDZ9MBoYDYwGRgOjgdHAaGA08P+1/rnwkAZY5LfR7ca368YWOq/o9Yh1z/rnNoA6jm+g5DrO0z885jDf65uz3lrle/3yrGmecD2d68Dx3X3+tZf/0zo/vxfgf+LVdU00Bg3QWM7gAeCoznMavwVp6T5M8KzjOuuEs0w3Z8Ino9MLvDec2iG3kInfOrzT6em5Bd0sT+gN0Eqnu9eQkD3jvLMlWM+4dvflWOmm9V6NZDbKOaGUEcwVud2gTKd6OccjQl1ImjHZzPMM+M06tzVe3Yj1qlHebmFAN8+UgRC/c+GbpXNAekHzSy/Ves7NYIlKGLj0Ur0HwnrnK+4dgErN9U5rKEh76aVV95rrq3eqAW2B+E+/UNcsQKf2ORHuQC5AOkDs7Fe+Ue8bIBat4bhnHse1sc0Ft995x/WHvvLc6yA5v7988cIC60x3l7ou9Lfe9tF6dvnMBWv/4JY/KOBqdDXXBYAjwv0tv3VnQTeh4v68rXOuQ9gIfvphQdQeLKHb/Fjd8Lsur2Ur3r8j2t2P5y1MZR19VRHr1rLvAQgcs5zp9H9De5Y7EMJjcs7Ul7qi73WiG+XvdtZF9zrdt+436r0L+x04oHvZASX57ljvOkE6764QfIfkOs+zfnk6y3dQypRm3fT9e2Cd7d1xnhpxm4TkvucO4MmBOJks4KCZvcSD777fBActGKVvDXSa/WoZgITtAm0d5fmtElKn81zXucBbGG55ASG41++2axDAfU8dG/DktbitMe7pfN/rnWeCQ9ZEz/9O6EA/CZhn4/vAOp6N2+g4Z6oeflqE+zjQ52/J+ffEaGA0MBoYDYwGRgOjgdHAaOBoAPqIYD4Eo4HRwGhgNDAaGA2MBm5GDXzwI/f8HADd+HYBunWbP/Xkd1Z0O3AZkExL53a6tHV/p6NbMA5AF5jrZM/odLd3vW7wjGbXPS5wt6a526T7XNAuYLdmOvtwP0bK43QW7BvRjsMewMq9A8ppOOytva072AhxGoAEWCGYESztIPqkOGThODWEaYIn432F8Tp9PU46FgVgbwS+Be5sK5ARqHMM980Id1qeb5/XiapDXQe99yQsE2IV+Gy3uqDR2GadpDqM2cc+BkZa59p640BLgKkA02VCVbfXoc46dM2UZ43WAee4z2nMA79paJ9the1oU4DOMssceEzOWQCfYzl/5tkF79FUwnQ0BDwHZBPjbiz7l7/+jdJQAfQnv13bAXp10OPSNpK5XMXvvKPA+A7P//d/++T/s7vNP/jhf/E6Fzq104FnFQX+++eXBnQ8A1g5H88CfQP7b7vj7p/gQAeu69zNGtbqVABeDt+O4bdG9HKgd736HTZn7fKsdS6E1s0NmDRRPfp4AAAgAElEQVSVIGPUK2K/t6X/1QPPUC35jFJnDtQQhhvNb/3zqsne0e0J6dWY9yXsZWrKQsaP7zXA0/m8g3Ohd7rN03Ge0FwoLgw1QYDjOJ/7uW1GwvteM824eDWhA32H61m+IZMsHMhT99nvv31gbXMHL6zBBQ2vAegC6hwoodbUkyUPXJZA3fPlwJ90/gut81tlM7qf7TlHRsMvgN4DIWy8v3st9EowOPf4cotbOiEBugkgHFu3ut9r+joHS6UDPeugC951nLNf/rZlhDu/B6Cf/t9i06YPRgOjgdHAaGA0MBoYDYwGjm6CPjj1C5g2fTAaGA2MBkYDo4HRwGhgNPD/B6DTdO4CkHFhW/sceA5MFD6XSzyc5wnDE3zvjnHWW2dcwJ7rjWnneMxb4zxd6sLw3Cfj4HfHOg3oXzD/8surAcu9LyA5TTcxfQHEBOTohtUlC2ARUAiFARm6BnVppjtc4PxG9YN1iwt7CsZ0HHDWmt7j1BNqA8T2uPbcxvN5ndZaNvLXfTLSW1d7wnjrYuf1pis+6xILpoCXxtoLPoXlNuueC9V0DgvEhabWIK8o74bZgMwa/GG0d0euWxPbeujlAm93+e2fe6nAN250BlIAyDkG2mAbdIE+AOz8RmPCdwabOI+OfHc4fq0/f6UGWwDA0ZHAHSgOQP/zv/jrVQMd7eBAB7QR1c7gFaAd23KP9CXrgWG6R4HiAvSMbKf93//by9f/849/XA2gntslWAeEm3IgIOW5/t23/fOqr/5H5w4R02iQ83NeHOhAXJ67z1aInu5iXcdCdX7z/PhtbWujuLnXBM0Cat894bcR+TSBeWkmIuEF5jyvrI+utnQwC+OF6Sc64vu61Cr3IOjP68gEBQfWoHWher4LmcDgOy0oFVTbfvXWDxyLZ9/d5lWr/v2fWJA8wbnzGcefddCNcOfddZrfJ0G53wVB7g7Qc5t8/7MUhRrRYW6ke0a2pytdYG3d+dLVvY8d4HjEtxuJX7D7zGGwhwAb7ay+PvPIMVc6vxPus8xvLPvuCQo+r4yWd/CDAzryO51u9Ixw37/ney10moOxjJwHdBtLb4w772HWOXdgjcA8o973GHdd6E4HoM/fjPPvhtHAaGA0MBoYDYwGRgOjgdHA0QD0EcF8CEYDo4HRwGhgNDAaGA2MBl6Lbwegf/Zr3/pNAToAkgZoBCQa3a4DPaPVrVeeAN1tMmY9l+kSF6DrVMednvsnhP/Siz9acNzj7q51gXq2PNZ+XOE59whEBZACLIHnupSNZQZmAnN0TKeDMqEXcCrBkyCqwPLmHD0JoguvACC6T7NObro60y2eAHuPWc6a6AJ6AfruKrfGdTpNhebH6rTf+dCxOPeE9VnvWGAmFBOqCTCr1nS4coVQxmbr+rUmNRC0QGs70I1rdx376h43Yp1n6fMEppZ7/NzzBbd5/jxvIPj7Ln6rADrL0DPbVv3zSy+tCH/WAdhZtgZaXPxWgXOOwTrOI0D3+hyUAkRnCqznGnCeA9GJYAegW7eYfgK640LX8SxYR4c8e8EXgHsH6MBypoBzljs9qR4656aWuc9ajRLPDkB/++0frnO8+dZ7lhudKQ50tsmkAXUoCPW5s1x4rCs347wXgCaFoF3lgkoGDzBPf6mZqqcOSO9BE+kcF5I7YKK00dH/JgNkMoEQXejNMfmNTrK+uoMC6rpbo65zWvu3M51rz7j2jDD3/oS//M6BK4JpAbeu8XSh57y/rV/uPFDUKYMk3Afd5PfJ5RnZ7nX4O5Mt8tvhey+ENsZ9n+41xe0XBxo48MLvqo7vTCIQmquH7G8BtH3uwAeagzZ0pWd8+h6hLhBfAL2ffca1q+EcCOF+ajt/m95guQreIePcPa8Dpfxm+s33+y8E91ozrj0h+h7p7n6UavC38N2GHhikoW6McL/9o2ffMRHu8/fy/L08GhgNjAZGA6OB0cBoYDQwGjgaB/qIYD4Eo4HRwGhgNDAaGA2MBm5GDTzz9HNvAqBT/xyATjN2mnbx668UWAYgAtEFh0BFYqkF3zTWC9MTnCcMB2zrPAdQOn/Hlw7zCduZ6iLPSHgj2YX4toyO57ex7Mdqtff1AUMLnLbLnFaO365rLDDX3VjOwfsfXxHF6cQUnAMgABEZryyM1DXKsvztfhmDLLBOSG68r+uBKAnd01me++1O8oTcCeyyprEDAtxPZzLLgDu61gXyec2604VKGbWc7mAAqK7kvXaxECxd6gUzgZvnr7xWo7qdxawHTrMcKCpgX3XHuySBaQIVyX3+ENnOcmB5udbbTY6uyyXe0f7onUEkaApYDjQn0h8Noi+PX0D2gWsHeP/AtQK21Fe3hnpdV7vgmQeeA9GJbQeQozH0QR9ynQXQ261qDHTBx/d/okAYUeq/9OvvWLXNbVn7fK9/vgN0Itx/4dfeXXoEmAtTAea7jlkOoOP8ONDL4XzX5dLOqmHdQFAwbnS2UDMjtY3mFpBat5p5wLnOc2F6RfsLz7uefUWoN0S3zrnQ3MEMDsJwHftm7P6xWPh2qqsxdGTahG5y9VhR8a1T9Ke+dU8Ly1lfgLjv1ahxda/7fE+JSJd5wnJb1jnPZyVQT9Ce2zpwx23SaW6Chdfg9871pl74zeBdt2wDz85vC31FKYqsOZ7PPPWRoFod8W2oASi9Lf2qy9+66JyT47mcd8QBCX6vWcaxss66QN/4dZ3ppixknPsexS50Xy73fi8dYOF1pPvca/H+dIv7jfedAWzb316LTSCe0N9lDrpJ0G7ThS5E93cCdFp9d3rAxQD00/+7bNr0wWhgNDAaGA2MBkYDo4HRwNEN2genfgHTpg9GA6OB0cBoYDQwGhgNjAZ+Vgf6DtB1nwPPqS8NQAceApeNOAcsAqWNcTf+3GnCbiG3ce+uF24L1AXuzHt83ebu4zYC9ATnRLPbjHhnnvO4L4AfcM7xhZq6k5nnnnUqVnxwg5V0JyZ82usJ03B68hugxTwNYM6U7Y3H5hhCyXSMC610IArq+S1k19mZAGt3tCc43+uYu+0O6rPesYAckErLKHiBOcs9tn3E9fjb2Opy+Ha94+UgbnfyivaO+sYFio3BbhBqrWmXMa30gIsvFlADcgrJhegLsLdLvepU40S/eIDk5VZ/4FpBVPdjyvZoAT2jH7a1bIG/1ZSQnePgYAeuF0hv2O/gDMG6AJ13C3hOhLsAXeBlLDo10AVwulnRAcALCIYzHCc4EDwBOrA8gfmnzp4tl/oOz2nEswPQeY7oVC36XI3u9zfvBqCN86qTTBnQge6yjG732fJuCUWtg55OX/VyzK3dLvKKcb/r8gLbaIDlxr3T95zTARSVRgDYvnC1gGwNzqDe+n1PlaO9otx7m1WLu2ukC+hdDxR2EIBOdu+baxH0m6qQ0NTme5IQN9+rHaDntyUH4dB0m/t7d5NnlHvVuA/o7jvPMd/IWW4qBdfooBrfbwfLAMlZxv34XVjfpzsfWs/RQQSCafann/0+rIh2o/8/8Xg9G0s4+EwF5vat+lju8DOPLKf5noSQrVIRAnT7fvkME6AL1HPQg7oVsHMsv3f+d8NtK1q9j+s5hOFGsmeEvw7zhPbpNDfS3bj2rJVO2x3obJsR7wnOWYdOMuI/ATp/H8zfk/P35GhgNDAaGA2MBkYDo4HRwGhgNHA0AH1EMB+C0cBoYDQwGhgNjAZGAzcjQP/iC6+8D4AuQNSNC5yi/jnw3BhrwCHQEJiYDl3W1fonXj0Gu3M7YTrzAnT2FXgL1nH5ss5odh3lGct+kotdoF+x8g34vR7uhfsgGtsa5zqWdT3riBRsAZ2sLawDM0HW7tAlChtQvi/f3aEJ4W0JsHUfAk8E6DrCMzJ9d6BnE4axz+5ez3rHQpx0unuv1sU2tp15axozDzzzfMJStxESClMFo0AnjmUct25zo91dVlC0I7h1oQtRXV9O8o55LzjdUFV3cNYjtza6gyVMItCJrBvdd8C4d/TIoAtge8HxSy8dYt77PagUhi4HYBQ856sa6g3KrXtOYx3Lgf460IlR/+PPP1P9DvRCL9ZopjnIwZrHQi8d6DhLE6Ab4e78SfCcWHeWoVcAupHtQnR0wAAJoBvx8moH+M35Aehcp8/a568+BOtCdZ6/0wSSCdB1qQshCxyee76OX7C9wXZB0XsfWwMmqo8B5ulKP/f8a/HuHL8HUrCftc7Vo5qqa7j3seu/cfchHl5nvDHjbMO+wtKC7Z2S4DYC1QVTA8hmjW8HlPje7SUfsi6535F0kgvW9wE8rN+dxYJzt8vvGs85o9j9FmQShQDdb0i+3y4zbcJvp1A953WDC5YdZGEpB/uE57DSBvpZO/gmUwF0mwu0uaYcuOBzENzb7xmpb5Q775WR7+zH+dSiiQoePwd76Hp38EUC9HS564rXve73PZM67Ffj2BOa887Z8vdeP11nuvtnjDuDZZieBNDRhgMuAOi3feDjnwGgU+LltP9OmTZ9MBoYDYwGRgOjgdHAaGA0MBq45Ybpg1O/gGnTB6OB0cBoYDQwGhgNjAZGAz8rQL/69WffkgA9QR8x1bi2rQ0uMAQSCsGFiTrQdefqNuf3DskzXl1nejra0/WrQ531AvSE5LjMsx67+xc475h5poBPGlC04pa7lrn1ioWUWc9ZmGxMu7WDE4qz3HmXnxR9vUcpu97f6fy1TrmOwr3meYJwXejpNk+Qnu7zvVb6SfXLjRBOUC40Y97fzidE130qONX9KfwSUgLPgejWsa75hqfGIAu+Bc46yB3owH5sI+hKgO6UVnD0/JXlVC4A3mBbfQrGAeDqxGaddF3kwvUcRFJu9gbv1loX7tI4d+3ftdnZlvMD0B//N//++mefuFYwjWcC1EIPwjQHbdgEZ2iHbf/hb91eLQH63nbXuTXRcab//C/fcv3v/aPfXgCdZkw3AB3oBtzn2QLluFbOy34+c98Xm3rhWQtRM+J7gcyA5say8+yJb69BLeevHAOubFMO7wtXC3Ib8c2gGMBl1jcXbgu2jX53G0CsMJb1QnB1ahkHoTrz9z784nJOe3wHc9CMIxfqClQdmCOYzej2fOd870+qc57fmxzEs8+nk1jXufsJ0f22CMmz3EMOvjENw1IVWfrBa/ZdT4d2xvYLyq1Drqs8Uwp8RvZJRuML0Ve99HZ928cOUkhXuNcgEBd8e40C7qx5vsokdCR7OtDzvnYQ7zmMiE9HvK54l3HscoF7nh4kAvROeO6UpiOdd56BMrrOM8Ld3wnQE5wzpVXt9Y5xdwAOUwF6RrgPQJ+/IeffEaOB0cBoYDQwGhgNjAZGA6OBowHoI4L5EIwGRgOjgdHAaGA0MBq42QH6XQ+98DEj3AXoNIA48ByQrsvW6OsC2E+8umC2DnSj2417Z9uMbxeo0xbsjlrmQnSd5cJ1zwdEZx+BufMJ37lOwD/nwlkMwGTfciA3XBWgC22s65uOy3SJC9IFUjrNT3KDslyYLfhKOGZjGcAigbfxyrpSheguS6eosckJLgVguhqBoNYitiUM253pArOEagXJ73xoQbG1/Z0PresQqCdAr+toIMky4BngU5ipG1iwaf1pI9ppLP9wRKu7nP1YJoBLIEpjPyG6AFtnOMcrbV48xLYD1FlulDugfLnKz18pIC4UV78OykDzrLMEAOdiO96bip7/9AtVz5zl/gaeA31xn9MAW9Y25/kDs3lGwDBSDfjN9KSYbuA59cgBY9Y7PwmaJzyn4XpnXxzsHBtwbly/sdwmEhRkvfOhAtvlRn/XoV462hAUppZ0J+cAikwiyEhtIXuCUqO5nTcW3ah0gXuB7QcPsL2c5w3CjWjnetK9LPhWH6sGe5cO4FkLbV0uKLfGua50zmdKwoog73rdAl3B8So/QFx7DxbReWzCxEnfmYTnloJImL5v4/4J2l23p144MCOd737/8huhu9zvYiZ07OUtBOHLXd/36rO3LxOsqxO+DQLrTBlw0MRyfXcf+7vi0FsbDmBwIAbbVHmHrke/oHiDa6aUTrBW+YqBj9QAS3pwHJ+r134Mjvc+us0zbUDHudvWNFzqpoAwnzHt6So3mp333PUJyHWjZ4S7wNzfDIYRoOtA55vDVHg+AP30/y6bNn0wGhgNjAZGA6OB0cBoYDRwdAP3walfwLTpg9HAaGA0MBoYDYwGRgOjgZ9FA8SzngTQAYoAIiCg9c+BhgBF3beCct3lVe+8Y95dLoRMx7gOdUH8gvFGrrerPAH67lTX/ct2f/joD9a+LrcuO9cAUAdscg9VE/nsMwVUrNEt/MnY4oTcbw1IpYMzHedArT2KPWGWNc8F8uUY72O6nedNSO716CxMeG5MutsLYhKEC7uEobpKdTpmDXTBp2514ekeyS1AzwjqdKDmb+cFXka2CzIF5wD1VcP60y/UM2IbHcbMC8LLvdpQrUDohUPdaebLpd4x3tY/R6vAalMH2J4BFcbC6wrPOuU0jr+W9XqnwnE0VTC+4TmN5cByoTzruLaVfPDwSwu6AqMF6MAtQB4gC8D1q7d+YKUOoBUj1lNX6k0ITqMWuqD8pMh2nefA87e9847a18EeRrfTx2qGvhWoAg3/5UP/Y9Vrx7mKA53tjcg2FjsHdQgaM+K7oPZWl5o+8j1UWwmis366sLSAKwkF9z1VfQ6U5JkCt3Wh1wCLhuEFbT/9wtpOKJ91y9kH6Mv29cwtDxCQXYCu6xyNogPhMPt7D/Sd9+m1+n4IXX2n83vz09pJ36Z0obvc75W/c6CO2vI7IMjPwTM5yMZ1OzR3sITPaTnHe6BNRt3TNzr4Vzx79w/rlju/4Xiu14GekJzvOJDZ2HUd6KsMQOuH9Rl1nm7zD517LXI966c7iIMBI7ybQvgE8EJ1XeusSxifg0vy3Fnb3FrsXB/3j2aY5z53Z7mQ3HvZl+W21jynAc7TgS5wF6QD0QXozI8Dff5+nH9DjAZGA6OB0cBoYDQwGhgNjAaOBqCPCOZDMBoYDYwGRgOjgdHAaOBmB+if/dq3flOAno5cwCP1z2nAaABgRlobkU7D7Q00x6lu1LtudeucW3NawM2xhOk60AvCx29j2wX0u0OdYxrhzu8F6594dZ2feG6AJbDDyG9Bj2BIgH5SbXJheYJ1oZTrhOK5nW7uBFbp9nRf3Z5ei6BaOJ5u9IxO5zg6DgXjGbPu+V1uDXPuXxiWUCyd6Okmp5+Yz8hmt8949tfFZrd7V2euYCvd5wnUq255O7SF6OlAN0pb97lOZEC27nLhtI51joOe2dZUBQC6LvByDzOoopux63X9utUffukQD3/hOJT3N9dy69kra5AG6zi/znXObwqCLnSj3nm3iHG/+PVXCk4D7IDbQC4c3kA0tWK8+g5QAV/A87ff/uEF0d/IgQ78JrYdcA5AV6c6oXmWDFwQIgOVgW66d9mfxv5AfQdJWKfd1AEHZgjVd12XRhqSrxj0ux9czl0BKs9tuX5bQ86rIa6R/lZrFZPfdc2F4sJYfgPbOeYC4x39z/dBzfFsKkIeTXaiQbrIF+DtgSCCdhMZXK/2hf7pgub4vrsCdN3jwvDdaZ7PnQEPOtJdbxw3mnDZSSkaus1tRoXnAJ097WIlSsQgBwcDZFLAcpPHszJ23QETRu+nS9tvic/JwQ2Aa/pRcO72zPPO6OgmXn+H7CznmOUgb1AuwBaEuzwHNXjdzH/80pXapqB3r7eeueA8p8Lz5WjvdyPd5oJuo97pY5b7XbUuO1M0IhQXfDtwgXV7XfSMd0+Ani50I93Z/vY//O9/ovNc/bzjjo99lwj3d//+nb8yNdBP/++0adMHo4HRwGhgNDAaGA2MBkYDRzdQH5z6BUybPhgNjAZGA6OB0cBoYDQwGvhZ4tufefq5NwnQcZ8L0IHOwEDAuAAdOC6cLpd4x6LTPnf1P66IdsC1cFx3ukA7neLCbqPbrZuebnSb8Nzl/+3Dr7wG3594ddU8F9ZzPVyv0LRgZwA4nY3WDtfNnbXBjVN/a7s0E4xbW1zQZVy7kHyvQy7gFobr9k7wnW5wwIjuxH2dcJt5nZV7bfQEmQm801Guq3cHnE5xIWcUu85ao++zzjnrdJiXszwgurHqXCtT4ZkRzelIF34JNq1fLkBL6K5zWWguzC4X+vkryyWsm5j1Ba4ZUHHu+YpQZ6AI27Kf9dGF6p4b/VjfHFCeTnSOVcD/gWv1u+B5A3frrpvmwDpaQf1LL9WxAOd//hd/XVAap6sRzcAt+t/njh50iBuzrSMdfQrEhehMAWXAeBpQ/YMf/hfLdY7DHVBm+QLc8MBIa8kbZU8fU/OcdTw/rpffONCJfeda0s27R7Ubcy0g3EGs7mXWJ2DNOtPASrW64Hnry+dbbt2O/a7tW3s6y9lXwM56ngvAXNgrTBeUGzFuHW2unW3SHe81cN08O8/rPbqNAz2We7khbA6ucYDMG5WDYLq7yU9ynPtc3VYX+h7V7vdMffkN8XuY4Nzmt0NgnkkUPnPXr9h1BxH01Brw9BNgmn7dB9ysOuYdv14R7F2ffj2b+546Vntc2M55ct7r4regPIF2xqkL1XWs+6y4zj/+/OHajXN3nwTnQnqOkxoWktuHrjeVYQfs++CmdJfbBOWs93vAMqcZ754g3fmsi05DI6mdAejz9+P8G2I0MBoYDYwGRgOjgdHAaGA0cDQAfUQwH4LRwGhgNDAaGA2MBkYDN3v9cwD6hx78068A0IFmwD7ctLsDHSBNK3Dd4Jzlus+B3/wGagMR03Uu+Gb/2qYhvNAdl3nGr7s9YDx/7/NAdYG9AJ3GNXEeHcQAGOGYcdEJkgXCAKQCwhF1rmtW8JTx5wInQZTHPSkCOcG0DvE8jzG/OhI9nrWHXZ77ZuxyRrgLJY1QzmhtXcM60XWb6grmfNYvZl26Q7OuddWfboglBDc6O2GXEdrlZm4nuTDb7QXoLBdm+luHMNsAO41x9/huV85jIfqFq6u+OeBOx7dAXKCPNt728efKde2+AuQ8ZsHzM8+Wk5x11kxnuUkHbGetdY4JIPd9Ynv0qRb5zbovvfijinAHwALpsh6xz8W6yOrKQRO6j6mNDUwFjgPfAeUAdJylwHIasPvv/aPfLkiGxtSUcJI+p1QDTm6uDaCuC1iXLyDx7Fe+cf3xf/PvF0D3/REKc1z1cqz2dUR7Z5y7ulL/wnWWo20B/w5qfY/pWx3sutETmHNfAlZhu5pyYIcadb+E825jdHwdIyA+jf6kj7JswSpf0HHvpSWTGBrScj/7NyUd5ye5z9kGwKlT3UE+wnQ1sYP1kwC63we/Hzl4Jr9hfj/c1m+Rzyqd9dacX7XGrQt+/2Hwgk58neXGrvsM7Vufp0kBpgEI51mGdoXZPjsHPHjsLAWQOvU7K8DOeuTWPRfOMyXCPeuXu27VP2+Qbj11NS8s103uwKeKse/yIQ5AeSNwzjvld15necJ0UwTYzrrmutKzDrrg3DroO0DnmzMO9NP/u2za9MFoYDQwGhgNjAZGA6OB0cDRDd4Hp34B06YPRgOjgdHAaGA0MBoYDYwGftb651984ZX3AdD3mtC6z3GiA6MF30LyrHdOs+Y4y61/LkCnJVD3eIJ3jicsF4y7rNzl7UoHtNN0sRPfjhudbaynboQ8AwCAgUY5C3Ostav7VGDHPOsERi4XrusOzKhdnYRum3DEcwCEPKeQnu0E6cIzo7QT2jMFjCRgSfgl5Mp4dZYJSLMOtS2BvmCM60g3JNvZH+mozbrnrBNirfrQDSgBXIJwa08XwH7gWs0LKIHQ1pEGTqM9Bm8IQHWGV8R31Jyu2GyO1VHdRrBbi5xz0UwfYB36rjj4h18qUMz11X4PXFvA3EEAOtg9nsu4Ro4pQBeioznc6EBz9qv67WevVPOcwHXujWsG/PIbgE6EO65u3aIAcYCnANi4b+tnGylt7eK3NkhFF8AwoBr7A8mA6LpU2ZbjcywBOe828/SNEfT8Jg6b8/DOqCGiz88/+e26VmAbAF0XbLrQC0S2kzjjv3PQilpOqC5I16nue6b2gJbpfhbIpru8nMZdqsFBEvw22tuIdwd/ZL105tEFeuH50icV1d+JBh5fPQrxlzO966cL4I2CF/jTdkgqzOZ95TnSTnKhp6Ncp7qx226DbjKVYI98z4QNlvlt0XluQgbNxAkHSPg9OwbNW4/prHdboXE9m468r35ubSQoVwcreSKSQkwQyDh8zkmfJ5z3uVuDXKDtvm5jtPqKcG/4nTXW3dYmLM/4dgF9AvK1T8D4jHN3gIWDEHwnsk56aoNnQ/O5MNVZLkj33U6Abl3zHaKnA12ArhN9Oc/7mzIO9Pn7cf4NMRoYDYwGRgOjgdHAaGA0MBo4GoA+IpgPwWhgNDAaGA2MBkYDo4GbHaBb/1yADiQE+AHPiWwGqgnAAdO6ywXjAnGWuQ3TrHEudPd3wfSG4kB1lrufLvNsgvN0pgvWrX3u/jZrXwtigZqCOoFN/tbdvByQQp0NgjhNiLRAXoORrAecdXmNOzeKXcAIgHHeetTWvtWx67z7Ze1ygEpGz+vaXW7xhvvOp5uc66HtbnmducL0PeKac+gUzTjtBQ+7NjXwkb4HeqVbvNzCXQ9cOC74rPUXDsBbJzCw2vMUCO3GMuBvuc0fuHaYRgR7NuGoddLLEd+O84oApxZ7w/aMX1+Av6PaOR+t4uD7mDrYhfbAc93OHI8BKbqROTfHx81NhDtQGrDFM8fFitObewPg5mAEtVlwuwc7OAhC4GZpAebLYd4R5DpwBeTcF1POxXZcE8cFkvOb5UZbs5/b4pTnWqmBLvQzap3tOb6w1cEYJi0IEL3urAGd70KCdDXO8RPGG+ueMBvt2Fcs51qEtNbFzvebe85+xUnOPtw/U/te+C5g1elusoXvud8DAb9JDJZV4Jqz5nyWhTjJNZ7x67rOBeAnRb7rRHdZOtQFsZaYsFTEXiaCZTrPdze92/rtS3V0FbAAACAASURBVHe630TXpyt8RbM3bK8yD+36XzXVu68cGEH/Zy1z550KqxlMsgaZdGJBQnNhOu+BOhCge83524FEfvfTZS6c3+vZC9aF827nMXZwrzvd77oa359D1kJPV3rWPc91Rrj/NCe6NdFdRmKF+/yT9/3RjwHot77/ng9ODfTT/ztt2vTBaGA0MBoYDYwGRgOjgdHA0Q3WB6d+AdOmD0YDo4HRwGhgNDAaGA2MBn4WgG79cwE6UA1ATtR61kBnKui29jnucd3mgm/j3QXiQHSWA9lxlQO9gd0CdNe5vctYDzBnH9brVDfmHdf57Z976fofPvqDOh4gk+vm3FWHeovuzmhxwbBNdzOQl3WCG52kC5Y3IBOm6V4V6OhKtA5vxhULmoUoAhVhiWBJaCXsFFq9UV3zBDJZTzpdo8LMjJjeYXqB9wbpq45xr199FrWKM8K6+vGuy4ca4hdfrG3oS+bREM8FmAyAJtq84HU7so3YZ17oXbHol75Zz1zYXc/4wtVjsF69GrMtrK/lXWOc3xzfZAXmOSfH4TmjlXKzn32mlut4F5wK47luATq/vS7OgfZYZ511fgvrdTSznJrrXCf7VurCE68WrMaBTp1ywDluUOqh0+hTID3QulziHU0tsEuY5/MXwhn5zH4cFzDucxQCA8QBxlxDaZbY+089UlHu1p7muABzGr85FoNquM6f/+VbFoD1/QBm1nvQcF83LoM+SFxQfysdgfcp4KHAnGMBeh1okqUOBI4L7IYe8/0srZIq0INE3M73UlezDnLuH+3wzOhzYTzLrG8unC8X8oMH0J6DRnyH6zw89z7nseSGBuhGc+9OcyG4sdoJxAXqbk9z+3KS9zHcbofpOs4dZCOkzUEJ+YwyscJvStY599uR34f17egyCzm4RqidcfjVdw486ueo1h0g4SAGyw14LN3h6UT3fUjXeAJw9s3BU96r+6m/Y0A9Yt91nfstyij3ejcbnCc8XzXX+xpc7rFS2wnMhfHCcZtO9H2dUH2H7GwrOAeYC9CZp1GSAXheiRUD0Ofv5/n7eTQwGhgNjAZGA6OB0cBoYDTwoQHoI4L5EIwGRgOjgdHAaGA0MBq4iTVwEkAH7gEVAZ80IB8wnakQfdU1f+LV5fzGYc50d4I7LwTXLa7LXGguWD+pzvmKj2/nOg14XgD98su1b0HLB67V8YSoOuqBn7qAuT9juoGlOKsFi84LvNPtLJQrwHPvY6u2tTHgLBfk6rzUTcl25bRt+KyLW6gteMkaybWswZs1dXW2JvwWbAnJM649Y+ONlt5rmwt5jGz2OF5TOrNX60h2783oc35bA1x4zbMCTPNsgMwZs8+2wnTgMsdhHb85LrpzEAbNGGgd40Jzm05w5k1S4Lw6yT0+63gWurDZz7h2Ybq/jZW3Djo6A2pzbXWdl16qbTyXse3peK/67mev1HVxTvbnXeKegdUAdJzoAK5ygzfgAq7yHIDcaEBIp27YPoGcAN2a6YI/4DnndWADz7lA/Ob2LSD54GHK9jpqgW8AfuA4tdpxywPcqKluUsKqhd4x7rp9hcnqTie5gz2Mh6/4+a6hzj6ZvkADvlvWwEEl6jnjsVkuEE+wXe8WaQAxuIUm/PRdL0j7mWfr2XA9PCuem6Dcd9va3CzXzb5KQzRYzcb1CK9xfzMVfArBBd1Zs1wgLix3WTrU/e026VjXpU5zUIVJFftgixzMYyoA30SB+IpYD+d2rrMPsi8EzTloIQc5+NzSoe60vq1nDwM31L7JAH6jTQBY0e2daCAEd1ATAz+cdxCK5TOyTMCeNGJTJxn97n3nMZfjvQeO+F54bL/bgnNhe0a5u79lONRJxrWzf73/d58vSO5gjKyNLkCnGdcuRBek+1uAznYD0E//b7Np0wejgdHAaGA0MBoYDYwGRgNHN3AfnPoFTJs+GA2MBkYDo4HRwGhgNDAa+GkaeObp594EQKf++Ue+8I0fAxOFgwJ0Xd3WLwdkC8+Z4gQHYjMPyOa3y4CLwEuBONukS11AzrHZx+W62V1nRLwOdK5JYM55PBcNWMt9WLvaWG0BOqBDZ6qx7sec1uFKF/4VeOsp2+iiBspyf3le627rVC7Q24DW43tuQZsQk99AFYCpgNOawcs93wBbKKMDNB2jLhOSC951eiZwF8h6XAcSCFdpXmv2AfPlSH7k22sZ2qFONs/M/rfG+P6satr9VYMRug+NYOf5lhO99ylA3tHuPEefJ4M9bOtYF19cAynYTqhefd0udCF51rtm6nVzL6/TWj9v7g8A/tCLf1m/a5uuuc7xuRfrsasxrsNodwepoGlArQAdMA1AF2SVc7RBGk1HdtYcTwdqxlML+wqgP/LNFeW+nMGffmG5tx2kIagUtKFDzkG8cwG3Bug0fuNAf+ttH12x5IJt9SUwLHidcdftTs90BKF6xrdnvHhGhxtX7/1yHp6lKQ3WeF/1s1urDijQycw6lluKwEEtgtrqs3akC2uF5+zrdlmXnca1ZPoD5/O5MWUwABB9r32esDvngeTWL0/Anm703W3usdWNMDYj/wXmeW0OTBDwAsL9Zuyx5auEQkDnHKRjX56kgSyjkf2U0JpnKLx2YIfnNTKdhk4F7ELyrFeuttGvcJrmffs9Xc7x1oHnyhh5Ex9W5Hxfq074TIfIZIXd4a7OXZ6udM7BO637nLZHtvM8eU9pLvN7IUDXqe52Os53iM4U5zmN7w7TiXCfvx/n3xCjgdHAaGA0MBoYDYwGRgOjgaMB6COC+RCMBkYDo4HRwGhgNDAauFk1cBJABwgCznHG6kDfoXkC9XSK2wCegnTBuSA8HeY0wbkQ/lice58v490FquwH1NQFLITFCVxR3LiA2xHMFIgp+AVY6Cy3HreuZmtgC7Otrb3AeG9r7LgOa2PHrQ/PPZYb+cyzB2DbNb91NLOPLmqOp9uSZrR21mrmeowuFvi8URx7Os4FVIIg6wHv7ncBugMKjFbWrV/1pYHE556ve6IlNOb+6Q/AMP3gM9KRXbXCL35rDXRYEesPXDvmUucY5Ri//HJNhdho0L73nEb1O4iB50Sr8186HM9IdmPcs/66AF3g7/P0PTDunWtRV2iSdeiSd4TBJnXPl19eLvUC5Re/teqfcw2CfcE827Md7nAAOu35l/7XBah1KAubaTqXacAwwJoATUgnJAYY+qytee5zN9Z8xa4LF+9/vGBrvR93P1gaZApoZTnXSgP0A94A6MDarF/utQrTjacWsnIOt89yBbpwhYzAP48t+M1yBjTuX2i+Ehz6HBkBnrA1I9wLzAb49B3MMgW+c8ax1++AuA7EcHsGn9QAj09+9RhE9p4c3GKfWpM8gXk6yBOgu8yo9h246273uDqWdSdbgz6d0XtygZH5Dj7Ikg6mBZgosOrPNxjPbwl9mPH6rLcsAu8j6+grfjvvdyYhejrAHeTg4AWfndCcebTswJFVs7xhOhpHz/SF956R9F5/poCkE10Yb+qB1+PxVz/0eyccV9dumyBdXXNtQnXeaZ6Z1++AkoTo3IO1zROiO886oboDYnShMxWg2wTnBc+phR410C/8yYW/c9p/q0ybPhgNjAZGA6OB0cBoYDQwGhgN3HLD9MGpX8C06YPRwGhgNDAaGA2MBkYDo4G/DUC3nrTx7QL0BcoDmhu/DdSsOtUd255Oc2qXO5/wXTDJPPsRw/66qPaOhqdxDOCoy9iXbYXW1p4WWupg1k1svWtgbUaAW8/YGtcFiM89f3CSt4OYbQugXjpAT53TRouzjr4AigpG2cZ75toAvLiVBb7W+qZv2afcqg3HgT9cA7ATZzLPpKB+O+HdZq9lrptTN68APSG6NYGtF2xMs/BGQAXsFSQu931DYGt5G+uuu5w+dEABfSP4tr98LjwPoPrvXPhmPXf6h3VoyH5hH/albxKg0+o6Oh5dGM0yzulAh7qWvp5MFBCwO2iBexSqmx6gpphyPDSX5QjQgfOZ0qCGHGDgdXIuwKAJCOzPsdEBx60BBRdfLHD+53/x18uFTty08eyAVsGd8Nja4jw3txNc+7yFiTU9d4hx9zfXJSDVMS1cNCZ9OVrvf3zVy+a6gOoAfmugW1tbKIz2hJn0O/uhQ9ax3OsE0mZ9bQcL2IS6e8x21UNvqOsgEn8nhK/+aZiq09yyCLSqif7Jr9b9GM9e0P3Bq2vACvpBSzrPOY4R7+XU70SEcrc3dLf/7dtVQ7vvS5BtFLdQPN3kzruOOujWLzcGPiPa+W0tdQdYeHzhq5HsQuOsr+1zcFCD35RVyzya3wX6r0B235dg3m8D/aH2l0u9v2E1KMgkjY5uX+kcDaqF7gJ6wXa6/5crvOe5F0sH1DtiTfJ2hKNxNJzR8X43mTqQwn7xt01Qbj84EMNnvBIWNqCesD4HHeh4Zx3X5fuRNdAB3k5pWeM83eW8jz5vtsk493Sg03Z4rgPdGui7A30A+vwtOf+eGA2MBkYDo4HRwGhgNDAaGA0cDUAfEcyHYDQwGhgNjAZGA6OB0cDNpIGfBaALiwuetwM83ec6xAuY9zKAqK7z3FZomAA9Hei63QHkxMEL5YGOwFSmutF1fAtamefYRoMvV3q7iQE3AlIdyLqZadZLF4p7PMCv1yL45Tq5x3RT2xcCfqPq6UfuiX05plHl9q21xDk/14hbmBhvYrfrGtptLZwVTmXd9gRBQpsE6Mv1GFHw1iHWebvAVkOe3M568VkrXOBMH3HvCdB1Zfvc6U9guakEurp1pTs4Qnhez/HSoZQA82wvlObcFb/dUej8dhCDEJ7rLbjesHQ9Z+ped39WlHsPtGCe7Wtdu+D5XQM/nv5haZvnqdPde3ZgCPda50Av5w+pA9wvQFBnrXo1ut2BJPwGoBvjfvHrrxRY++PPP1NQjWcKFARa61YVCALPre0sJBXisdwBE8BztkFXgm0TFnieAFP2Zx+hrsC2oPztHy74CNjVzcqUGujU7tYZLwz3ejLOO6Oydfy6HMhXdcgbNAtC0yG8u8+Xe/e+pxbwNYmBadaipnn8BUzj/tV+DhzxPauBFhdfPOY6R/tcn881AeqCzg2DMx7ceG36N+tZ097+/k8cq3WeAN3fuX0+J6PdXe6zsI8SoHPvPgsHGwi/Wa++/Jb4nfHeHCSw6n/383IwjskefnOc9zgOQrBsxHKp93dLOJ7g2hrn6fpe9dhjPnWTpQHSgW6tcls+s+Wg72e2YH5AcX9nnL3bphPfd8/+SUd7Qv81wCJi330nHCiTIJzkB53kNejk7vOr8b4Czy1/kA5098kI9z+5+K9PdKDvNdAHoJ/+32rTpg9GA6OB0cBoYDQwGhgNjAaObqA+OPULmDZ9MBoYDYwGRgOjgdHAaGA08NM08M7ffe8vJkAX8OmsFfICKIXc6ULPCHcd5wnWdfC6zQLxvb8uZZ3GurvdL6HqqjPeAFMXMtcLpAbMAretRw2ABm4Z0c12OqLTcWxtbhzfAu5y0j/xaq0vF/nDr4Hd91w69AcAvWLkL33n+h8++oPrn7v6H8tpznLj6nXdWyt+OeQvvVTnq2j3jjB3MABTQCd9IrDOmPmsQW5M8nK6NhDXJSmo0nUuOBRalSO8oeEO5xcow70NQOx4cjSRMeosAwg7OME+NpXAJjyn6eD2efLb6Hv6zGfOcTmOdcnZnu3oJ53uOttzMIQAtGreN2wXvDlQgu2Nm+c+fN7qwcEcTrke0xa4Pp611ysMRyvC85V80O5za7ZzHGu2o1F0ADjHgQ5EX3HLZx45uI//4PxyfQv/dJcD2VkOIE+3LPvqOGcfEg0y6trnWjD4U4fzCFoB4m++9Z6q072i1gHonzzU6gbUAukAbgJ0HegAcbSlc11ImzDXKHOBLcusdb2c9Z99obZJ967HcB8HE+g0FrILd60zLdBkfcauW8ZB53kNrjj3/HKcl0b6Hcm0Bt4XB7tYX93z5qCUdG2vmvW4pz9+sfobt29GuDvFbW4/syznjWM3kt3n42/71z7KPt9LPBjJbuy+AwCqHxtM+23hnlYiRQ9kELpnND/PzW+Jg3Cc5nfH37wbJn/sddF9djR1XyC6I9wzSSOvTVidINtlutSNVU+QnhCcdZWkcOaR9c443evA53lykIHvqANc8v3L45q24LWrbeatY24tc93n6UbPls70hO5M0ZvfFuue8/0QoidAp73n7gtXAej8jTAAff6WnH9PjAZGA6OB0cBoYDQwGhgNjAaOBqCPCOZDMBoYDYwGRgOjgdHAaOBmc6B/8YVX3gdABxwJJoXn1nYWfAs1BdrC8gTpuLUBxsDGdKJ7HGuf+xvwyD7Gs1s/3Ih0m/HcgnRriQOzhOM61XUjF8zt+HXPJ7C2droNIEpjeW5LM5qe67zjS9+7/j/82f+x7k2XMgD9Sy/+6Pq/+rMf1G/rxrOd90zzGqu+fDj6hfde+1p28QCPE1gLs61PnpBqh1ZZR51l1nnXPSugF0Bz/xW73K53+59tjVKvGPSL33oNmPe1G03uIAE14wAL+g6ATj+6H31OP7EvUxMISisRoe4gC87pQAOfY8Xzd59wbgcc2DcmDDh1f5r10a29XrHyF66u55qDPYT7lhuwtr3HMyLeQR5cBzXlrRlvSYB8vkB0I9y//PVvrNrmAFGgF5ANV/r5J79draD4g4eUApcD0YHkC8o18DOyne05D5BwwcbWhTDSaHHd5AB0gfiv3vqB67fdcfdPALms57oAcQB0AC/7sp2x7MJiQS0DAITgCcJpHEfnrWUGmAKTE+46FYbzO2G60Dzdx049H+dhwEK6mK1VbbR21S9vSOt7JNhlna50p2znPgugd9S4ruZ0ggNMAaK6y4XkuM+z5nnWNTcNgONkDWyj9V1nH6fTXBi8u833MhBZk37B/3sfK/0mqBYi61A3xlyALoBeA3G6Jroub+PLXZ8gOuG+96Oeheq6zI/VHO9t0umd29nv7qNG0oGeANvzqEcBuE76Be0DpHverPeO7t3X46xSAj0QRsCvU11w7m8hum7yhOJZFx0AvkP0Kl/Q2/o9SYAOPN8ButMB6Kf/99m06YPRwGhgNDAaGA2MBkYDo4GjG7QPTv0Cpk0fjAZGA6OB0cBoYDQwGhgN/DQNXP36s28BoN/7hRe/A0AH7AGY0oFu1LYubN25zANCBcNARZzYrNOJTSsX79M/XA7sBYwDoKfjPAG2Tl7BKGCS9TqFgZdsw/ZCeLfRBc12An8h8IoJ7/M49Vq5Fx3kxrWzDkiuu55lD734l8eW6UKvuO+nf1TQWBAroOfaddkbee6gBO8fIMu2OTDAQQQJggXiAnBgl5Hw1i0vMH7u+WNOaPZLSC7gXZHxD1w7Bs2tCW89eIFz9qFR7EbuC7i9r9JHaymd6A5EWKkFHfVf2+PGf+5/WSkFPntjtek7n7kacWCF9dp1pbPMWHj62/rzuttNYLD+uc+Exnuw6yTrrnNsfjPP/dGXHIepTluek1rluXIv7MNzBoAD0AHpgHHjph/6ynPlJGcbBmcAywHhNIE66QtG/gPshIjAOvbVMc22AmGd+IJkp7qlgalZa1xntC5nzoN7lRrowPUE4+wnFBRMC72NbnceMMh96jwXkuu0tu57Os6F88wL4dMRncBY57VgNGGnkDgdzBnlnpB0ubE7+t53apUI6P4Unq7a3fHb+xJ6Zgy7tc+F5gB012ddcyO6BfBGtaf7PGPujbM3mj3BtCDZuts8N/ukSj/0YBxrlQvUddrbd1kHXGf/66LWhcs91a3tsdbz6Nj7rGmuNtJNnnXE1YQudbaznriQukB6u74doJF9wTkE5PRlOtFXFPsW3279dXWeNdN11XMd6NskiGOgPbRs1PuKig+Ybg10m7CcJiivgTbx+6SmboxxN7p9B+jvvefCXxHhDkC//aNn3zEO9Pk7cv4tMRoYDYwGRgOjgdHAaGA0MBo4GoA+IpgPwWhgNDAaGA2MBkYDo4GbSQPEsgLQ73rohY8B0IGBe3y7jmKhuW5cndcZ0a1zOGPLBeRuYw1za16zvTWzBaTuw3oBqDC3nNgdg05jnth2HMjMp+scmL3Ac7vMjYhnXqe8tdht1uzmOtIZnRHtGVvPOmtkM3UZLnWhsA52Bw4knDcmnOsSTGcsuM77cn8DaLuOd9XsBoyfPTitbQVxgeL0SUeXV63yC1dXrHk5yKO2uuutyW3/50AEYbnX6b0IlXWIC8DdxsELaoDj+DxYr1P/WF91v/C81Y3wHAjNPerUF7aXHi4cord1l1s/Pd39Dl5guVHqzAv+OaaueLWfusiSAoL0dMXvMfv2P8tMQ/A8wG/eMwE6DdBNigHwjWh3wBvXCEBfTvRnvlvzgHNBOvMcxyh/3a5ohIh0moMuAJXWogZcGmWuC5i67brP2Q5QC8wHmgP4OBdO1n9wyx8U+NUJbbz3iqhuKGjN8oTJWYdboJoOYMGpsF0Y6nxCxazHrStdOOk2nlvnsYB51dduCC5EF/zrMl/1qnvQSg3YaAc/yyqe/dzzCwInrPd+jVp3gEDWMQeUZ91z1uk+FoLrQtaR7OABHecCdO+X+3ObVQv8zCOrD3YntW57AXA61NGEoDvvLQcJuJz+se+ynrjlBbKuuA5yj5s1y+079y/3Nprq2H014YATj8F74DEZ7EHzmFzTAt2hyd2FLhTPVAcd9mxrukMODODaTB0Qihvl7r7rmntQwHLQ87ub7vHUjYkMPE+BOODcOujWOc/66Bntnu50o9xPcqAD0GkD0E//b7Rp0wejgdHAaGA0MBoYDYwGRgNHN2gfnPoFTJs+GA2MBkYDo4HRwGhgNDAa+Js08MGP3PNz1j//yBe+8eM3AuhGTQs7AYZGbQMWcRILm4GMAGShMOuzvjnHsAlZaWxPE2im21hXdDmr2xktRAcS6zoWchrFnfCfKaAdaA58FFLrnhf+4xpnGxq/s8477vodjNN0oXOMBOguY38Bu+ez/wTF3BPLsg54QmOul/2F6Ua667quut1dy5v1bG+kecFbXJ4R0+7gg4xaF95zPfZhDobg/FnHnvsTMnOsfZuMbvcZMPjAePMsA+A5sr8crIEuuU77hGdeULud8DTO473qVudY3K+wXec/uqYP0EwO9DAmnu11xjsYwEEfXhPn5B6sY058ulOOXykBXVPbAQ1ci33Lb5IeuB5g+WefuLZi3JkCy3GPsxzQBSAHmAPUl/P8yUNahPNAQiA5cC4hJ3Aury9jxyvu//yVui6vFwAsQDfqn5roXAsAHaAI3Ae64UqnBroAV1AOBDSaPSG3UDCjs3Xa6gzOCGt/AxATmnuehPZZb30B43bypgPb7XFcu1xQvJzCOqd1lzesrej2Brqsr/SBqL+dYFmg73XrEhecC0UTqAvTs+619+TvjIMXjuu614lv3xrJ7qAD48wd3OE91nOPGuneExowhUBNCXxNOmDfjDZfzvJwWh+D7t1XphPoCs9EAPfLmuvpJjfJgPkE6Z5HuG0Sg470jHtP93vWRE9wzz0KvnmWDkjxOOkoz2j2BOV7DfV0su/x9EJ1Abrvwj5owrr3AvQE44Jy1iU0T4e6AJ33mbZHuI8Dff52nH8/jAZGA6OB0cBoYDQwGhgNjAaOBqCPCOZDMBoYDYwGRgOjgdHAaOBmrn++A3Tgn65YIfRydbcL3RrlupPZJuugC1J18upUFgwzBYhaP9vzAAPLVX3hEKVtJLZg2Fhs1rOceePLdVEzr+vcaG+v3drVCXl1g+s4Fpp7zQB1mpAVqCo4FpYD1AGeGeUuQBcK63pmvXHw1R8N5lnn9g448BpYZ5T7up9LB0e+rvBaHjXidaezHlC8HLPtOLfv7Sf7gv10v9MX9ov3YT844CHj+R0coD6yn43pt49/58LBiW0fGJfu8QTWVSf+iVeXO95BFPlMV2T/pW8WFF4JBq0b3foOBOF49AnN2vU6y22ePwcFqF2vsQaQtE7pL84NGANUAwbp44zJ57jej5CexvsG/Aac/+cf//j6tf/wlwuU46oFohnZrgMdEK7r3MYxBMDATCCjMe7cP8dgPfPsW05rBlz0e8E9cM1ohVIA5Tj+9AuvJRt86pECbYA/5nWgv+W37iywJ2wFwHJeQTHXIThnGZBQYKhr2vUCY+GhEF1waKR7QmyBvK5qfwtdrXfN/mwvdK4BAh1x7vKM7RaGsq/Ak6mDAehLXe5CUJbrphfeZky4EFRorgN9d6QLxXfHujA971l4nukBXotA3Lrmy9ndcfVed0aoC6F1pvtcre+u297f3G9CZfvSGvH2QQ4ocMox0C7H8Hxeo/uYBEB/e23em1H71ioXhu/gmncg7zXj6xNmezwd4Q7k8LfAPgH/7phPZ77XYRrEHiWfrvPlQu97X9qKWug2NJKDLADilgYw5h+ALkQ39j0Be9ZBT4BOA6Df9oGPf2Yi3E//77Rp0wejgdHAaGA0MBoYDYwGRgNHN2AfnPoFTJs+GA2MBkYDo4HRwGhgNDAa+GkAnfrnn3vuO88D0AFsCdCNyAbyCdKFfkJeIGLVcG6YuqBou3UF8TrYjQWvmtoPXCv4KNjkfMZM06rO+fkrFVsO2Mua3tarNpac5W4jHGZfa3hnLW6BsA5565kDsq1rbo1u4LmOaJ3l6chOx33CZt3nTO0TBxNkrW9BvCCXbXT1exzOr9NauEu/MWU7ltc9M9igndk+o3Lpn3n2UCu8+7giw9sJbV3y7B+XZ633jOZ3XrCsez9bDQpooO5AC39b716Huq7zXTsOrPC8q755T0tXrScGXwjK7asFxXuwhfXmuX9TDOzLgtrtjPeYLtcpb58e01PXTGe5rl5rrmetejTMtsa2W7aAe+d6gIg4vHWgMw/kphZ2xXbf/1z1BdHUNN4ToCANcO4Up23FVXdMNwCObTl/udAbptNfAL1VEuH8lXo2DrIQ/jsAgHvLKPSK0z73ckyRQAAAIABJREFUeMG6X/i1dy+HcoHWdDqH21xYrcs4Y9x1q+uwzuhs3dceMyGo1yMkzrrnusx1pNvqOt9z5licu1Ba4Mw8fVnX36BYaCxopU+PRXvf91Q9p+WM720F6Ak9T4pxfyOgruM47y9BrddtA6BnnXLvyevJ+uUZS19R6z0VuAPU3Ua3esad+9v+yXh+Hfto0Uj8TEUoWH3fId5cmC8s3yPQ1beDBtQT269Y9xiwsOqLx/57SkDqk6kJDELrBOPOownhd7rPBd+ZrGB/C9GNcs/psTj3BuX7vO+D74cQXI0I0U1qyFrpgvQ9yh1Y7oCY3YF+EkCfvyXnb8nRwGhgNDAaGA2MBkYDo4HRwGjgaAD6iGA+BKOB0cBoYDQwGhgNjAZuNoBO/XPgWsVBP/PdYw70FWvdLl/rX1tvHMAI9CWGWoeuLl2PpUMXKGc0uC5qfwP1AJ1AfEAh0BEYLqhivbW7y3Ge8dg9nw5rY8qN8haQsk0CbOC14JvYdtzkAmwaywS/gGTd6sxXxPcTry7orrP8kf/p/1z9wLYe3wEGQmn31ZlOX9GPAmnguQBdF/sx1/Lj31vA12dV9cGJRe8oe/oqQXlB2Ib9QnDBtbH1DhTwft3Xa9elz7HYJ6PO+W0d9N2Bbiy7gxcE7Qnpl8O7Bw3wfL1vHejcMzHuOuitZb6e/8VvLYieTns04UAQ494dpGEddN3tWXddnVrrnPX1HvTADpv6rLrtn79a75BR+2yrNgXzvmM8YyAa7nIAOrXGmQfWWXe86orf//iC48I8IBggm8ZvGnCO5YJMjs175AAZYF4NNOiBBfSlkfL0N9tyXVn7u+p6NxDUuY0GgXMA9F/6vbMLvAqNhYnC2ILUXWM7nePWOjfC3abbO+uZ6xb33qwJDSinCRwF8a5PgM7yrB3ub/YXrCZ8TSe6QJV+MXaeqd8n7k9AK+zWSW3sdka56xgWmrON07xHBwgkoPU8Rq67TQJm5tGkIN196plutcwz9p1nLIhHGy633nvWUE+Qns8nXex7zfKMvReiC9jVnAMo0DK6FkSvyP57H6vtdZfnffhcfFfWc+zBAwJs+pdzZZpBusndj6ktB3Hwm+tbcf/RJ96/wFwnusfJa0sgv6Lxu465znLvJ13o9MM+6EJtsb+wHTguQHeedYBzvjE7QH/HHR/7rgCdvxNO+2+VadMHo4HRwGhgNDAaGA2MBkYDo4Fbbqg+OPULmDZ9MBoYDYwGRgOjgdHAaGA08Ddp4OrXn33LXQ+98DEAOnDtJIBO060rpAWSAt2sKQ0AZR8hr3HsutJZxvGtZw5sEnb6W1AuPKcVCGx4znY0I6Wt1QzcYd9yfn7i8fXbGPjl/r388jE4aktHuU5wlr/n0gFysozfQE7AOFHtTN3HWtkCee4V57DOZUA1fSmwFlZbS13oLCTn2GyrO5vjCeA9ln0qQBc6c4/UeS8Xet+vx9FFbTR5Rao//cM6dzrQhd4s554dKJDruG5jz+1DBxkAxBl4IISvZQ3fdbUb/y9EX3Hol19ezmwBuHXZdYsLvq3fXgMIrP3e5QCYMpBA9/Qe5Y4eXG9iActqYEjXKudcOvjZH307CKNc/61LtexxuB7mjUyvgRznrxy0t0Xs60DnXUGnuM6Jb//y1w9udMAccIumAxsAB1wFmGXEdEG6hugV5d7R78Zqs4z7qHN95tkF9a0Fz/m5Xwew8O7RrLNujWyi5Tk2YBA9co1EuAuwE5gLJf291+UGOBqtngBReO4+3Kv3stc/d3+Ar/CTvkpwnXC6tu0a40xZJ+g24l2nu05gYa9wOAcICFsZMEHTEe+5vWaek056Y+39TcpAgnVbRts7GCAHJaTD3RrkRq3rHtcdLtw2gl2A7j0IugXjNUji3sfWtugjo92znn1GwyfoT4c403Sco8GKi+9rTIjssZYbPQYyoMNj9dLD5S2Yz7rqDnIAsruNMfseu1znZx55XZ8LuE1DWNfXuuC60b9Q/5gLv9MohOw18CXi4o8517fY9hw0oiaE5rrQHXihjtDx29//ibU899G17n6CdYA5Me58X4hxF6C/954Lf5UO9AHo83fk/FtiNDAaGA2MBkYDo4HRwGhgNHA0AH1EMB+C0cBoYDQwGhgNjAZGAzczQDe+XYAOSNN9K9w0Flu4DlTcnebsRyOWmuOm27cgZTvGgd7ARet1sx5QU/CReGoA5Lnnl7tTUAl0Yd64YbYxPhkgCMiq2rvUw/78AaRzbMCn167LWTgtzAUOG+UttGZ7XdIAbmPZBc1MBfBZO5s+M95e4E6/ZO1vgLfw3Hrnus4z4lyQTf/pTue6dICbCgAMdXAA67mfrPeuu515wbhAXwiuU5xz4KwXtBu/vgYM9H16nQ5AoP8cIOC5TSdgyrHSae6gBZ4p+3EvxojXYAYgeA8K4Dn6DKmjbh30gurnnl8aRAv0Rca6czwHd5TL9fyVBb4dQCK8B3Qb184xmOedsJ8r5r0d6AXn0WAfiyl65Fyl9a5/7rXqtF/v25Pfru2AbEa4E9PO+wPQwh0KJDOquup3v+fMcprqzgZsA/M4DqCOdQnwTHigObDEBAf6i3uz1rpx7wBz3PAsF6AD+HmvWA7oN8JdQKuTOKFnOWrbvZwOaqF1OtKtj75DRZ3CNt5x9ue6rF9uDXUjxHfHOf0mSBfG26cJ0YWQwnxd4Ak/hakC7LxmncQeV4AuENX9LsQ3ilvgLjDPWHtd/MbQH4tWbyd3DlZwmwLRXCffy4biFVMP5O39dErn80pIjfbShW7Nc/vVGHuvxwEX7IuWBMxGpNezbJgvePa8CZp1b68a4ZtjuwZ69IAOnfWVBNDPRPCd9dB9RgnsTR1gf7XjepfvYD3j3K0DL0DPyHp1kec2bj4Hv6yBAg3zee5ogj5OeG4DhqMdB4QY1+5+Cdt1nttczgAAEi4E6Oy/R7gPQD/9v9WmTR+MBkYDo4HRwGhgNDAaGA0c3WB9cOoXMG36YDQwGhgNjAZGA6OB0cBo4G/SwGe/9q3f/MrV/3CO+ufAPmAewHd3oOtYzhrQ1pIWtLscCCnwFlzr/NZtbu1yGyBPt24d5+KLBUZYBoQATOzx7ek6B9LgJhbeCeTZBtDH9XHtgnxjzNM9LURmGYBUWCwoTre6runqm4bL1jt3G4F1Hjtj4JnXTQ6UB1SznAh3XO7GwXsujg2gNsLdGuvCac7FdeCc95mt2u4Nbh0wICj3eoXmGS/vdXq/6SrPbYxedwCBgwo4lw574brXq+M9Bxro7NYlv+rYt8uc3zrJddYL1E1JqOd//sphwMelA2g33h79oBFrkAu2HXCB1tALQFlobpQ5x3JQSLnVG7BXpPx9Tx0rI6BGaXUNHd2um51GX3gdlj9At0BzADqQGg0Ap61rLJQUrv3Kuz62XNhMgXG6znWiW1Nb4Md7xfsJmOfeaLwrBZ7vf67muQYhu3XZrccO3OO4bMOU62T68798S7nPF3D99AGkcvwCiT3AwGhugaNR47sL2ij3Y07dBpPpTBd4exyBs/DQAQZARqF5QnRriutOZzn96nbl+u/+ztjuBP0CUeG61ymUzX0zQl4wqzue5brXvTfBNPec507n+HKh92AiHd32tdHqXsOKz//E4wet9rOvNI8eiOQxC5jf+9ghqaEhu/epqxynOsv4XWUK+pwmhAjxvVbBussdUFHu9Ib5Ca919ydAZ3kta2hfgD2i9TmWkerWVk/wXpHvZx45tt9yosfACJ/t0mhcA+CZQSkC9KrBHvXhV433iLjPuuwuE557bRw3yxDsbvL8DezGda6e+W298wTpRrvrPk+Ing50juUxBqDP347z74fRwGhgNDAaGA2MBkYDo4HRwNEA9BHBfAhGA6OB0cBoYDQwGhgN3MwA/UMP/ulXAOjGtydABxDqEgYeCsx3iA54EzCyrOBiwzrhpu5f653rygVsAi5wKQrS2daYdh3n6RguYNnR2DohBZdGBXNc5gEtnA9gK8B0sACg1xh2Gteu015QbFy68Jt7MXLcaHZd4tY7F0xnLfByhD/9oxUFn85t5lmWdc/5rXPdKHXAqxDbZV4L03/60KFmu9eta7wgfDu92V847vFyG0G+4J8pywT5r3Oq975et/esAx2XOM/Za2VbwbbOezWmy1zA7oAHo9GF6tyXKQJG2Fct745st9RAJQkwQOPhl0oTONLLwd5Qu+LZL79c+kCraBBt8AytWa6m0WVFyfcgD8G6gzt0vQvwBPTeg5o1HaDu8eEXy8UNnOZ8OtCJcQdaA6qBawAyQCXHZVvA16pf3cDTuufCR8B2RkBzjZyP+wQg5gATneEOWmHKtrrauTYHGVQ95TOH2GreIY71q7d+4AD020ks0BVu6gx2MIz1p4WK3IdpEe7PeQXiOs6FkYJmXdz2hRDa7XWY6+Lda58z5boF2yzjN4MBdKZnvHsOWMg67mwnuK447wapbi8wTUguXPfcHlc4LlgWPqfrWie3fcr5BOjOr2sIt7ngmmut9I8esIAudYK7Ded0uzVQqQdG5Dk9l99xk0COna/vSRc3tdUzCp51gu6sNV+ubOuXb7XMc/BADr6g/30vEri7L+8Y79WC2RGjbjy80e9Vi5z7bO2xr8t9vzy2mtgHfqx650a73/2Fek/XubdyASYoqB3fXwG4WmY5v3GLuyxd6MJyAboudOuh60hnqgM94XsC9A9+5J6fO+2/VaZNH4wGRgOjgdHAaGA0MBoYDYwGbrmh+uDUL2Da9MFoYDQwGhgNjAZGA6OB0cAbaeDCn1z4OwD0zz33necB6MJgm3Ht1jQXMgvTgY/GWgPlBOk0YGG6doWRCyJ2rLr1qIEvBfYeObjTBaIFTi8cnOfuDyQ1qr0gejjUdbfqdgXKAAI5X9W4vviaA92a1sBV70+wqUtbgG28u/fvcqAwx8k63rrbjSV3O6YCbdzFwmZc10J092P9117+TwWuaTrUAdK6vo2SB2IzZR31x4X1NAG5oFuwLXwXcrsvgJ95Y+eF7quW+aOvuddtWS+da9K5XzH0T//w+q1nrxzqyW/7sIz9dNBzPp6N4JznAPBmXnBuCQDnV0mBiy+u6HYd4uiI5vNlvXqyHrogn3Vq2PcAbaoV5h34AUT0vK5nXp26viLSu357RsJzn14f2wHQcaAD/gBp3/v+9yvCHUAHRAeCEZkO6OL8uMKXO/iuywvaF+DGWdtAkHkdzgBa3g20yvk4hu8LMJt9HXjCOXTyWvM7XeNAN2Bbwcqu2/6P3/WhAs+CcI9l/LbXKXh1uU5hweuqaX3mkYMTt8GkbuyMeTdq3XrqWVPcWuFCceOvde8KOgXXus8zVh3oSN/ldrqvjXPXIZ71zhMEZz13wWu61RPorxj2jk5PUO0ACZ6pgw58bpxPWK2rPOE1WhekG9/uQCM057fS9TVgqZ/XWtZObuE4x2Tdb9z9WD1v7jefr85y7+NY3e+uHZ7x8wJw7scBFW6rjoTQ6fJ3nvvQ7e2AqtV/xrpnlHtHpRtxLkzneVir3IERbMezF75nuQS16HVl/XRj8x0w4n153HSuu5+DKnSMC9OF4OpQnQO7bbrNd2AuNBecO7XxfaFEBC501w9An78b598Oo4HRwGhgNDAaGA2MBkYDo4GjAegjgvkQjAZGA6OB0cBoYDQwGrhZNbADdJytus91mwM3hY/p0t4hIL+Bg4LMgtUNDYGMOnWBLNY4L4DZoL2g+cMvruXsKwRmG1qB0QbxVXe6o6FpQjtBulAIIEMDYLBcZzrn8boF9gJ04bgg2mh24bYNAJ1O83JYN5C3Trix5Rl7DqAWivMbiAyYZr1gnfUAdCG5ddoF3oBuz885PCbzd3ypI9TbIS5gX7Xe49pXhHsPEBD6M+WYeb/+Zup9WePcePeql97HchAC12LNcI8NPKf2O/fNvrXsgWsrjp0GPAe+A7ktH2BkO+toQnOW+UyF64J3gbtlA5h3kIf10dG6LnIHiDh1UAjrKqHg0muR8aYwWLO9Bnn09db7cOkA732HWGbNee6X7eq5fOVQUxyIBUAnGp1mVLpAHThpfXNc0lyz7xfznAOYB2ilCf8AmTjYecdZXq7zC1dXskO9H585lEAQnuMS5hzloO6obEAfwO3av/vGigTnGv/hb91+/e//9ocWOHTwiiUVdDEfi63u+Gy2pX/Ljdwu7t1xLSzVGW0MupDYut/WNRe669RNF7vAXJjpdkDzX/q9s3XPOtDL+d9gXYDueWwsE6Y7CGDVyg64LiQVtGaNdgcOJAwXVtMn9gXPrfqnwaxQW2ht6QD24fmVU70HGbkd+9dAkvhWOuiIwUk0zl9pDg3CuQ7eF0tlOOABgF7lOnDdN9TnmpiiU8/n9zij6L1267Ab1W6dcDXpfAL0jETPgRoLfMdUoO42HlOIzTQHNwi71SDvncA+653vrniv0fIDXmu6zx1QkGUWGCgiVPcaLL2wA3S0mIB9h+WWA3BdAnaguMA84TnrAOi40HGzD0A//b/Npk0fjAZGA6OB0cBoYDQwGhgNHN0EfXDqFzBt+mA0MBoYDYwGRgOjgdHAaOCNNPDM08+9aQfoFSf9zHfLjSvwy6h2ncJCQ0CM0e9CRbfVsSskNybY+ug6yFmn81xQXpHXlxp8Eukt/GwXeTngGwoBUFime7aO23CJ5YIiXbblRmx3cE0vHsA958oYdqPGORfA2WWCdeBxRp1bC1zortPaGHQBuuAa4KxjXNjtOl3mOs7pX6a60Gvfyy8v0C9EF15zXLYHtHtcI9t1oLO91yHs91h5fls62LMuPIAcGG7UO/duzXf7B0gORLfGebr97ecaFNFQmWfHbwG6MFo4LmhXfw66cMCG50g9Vf30rp1eML5/oz2OISS3/jn3Qb9nfDtTyxVwbEsDcA7mrbvOOSoevgeY0CptoQdXqGf6pwaqfP5qwTMBOjHuQHPeR8AWy6lVDHyrsggPPL1gPcfmOitOveuWMxgFgAnUE4DrNgfcCdAz9looau1mo7+BxEJLYR0AHfhmLWrm/+7b/vnr6m/TrIut41iXsGAxY8gXCG4Yq7u4aj7f/9yxyGuj0HVz81t47nJhI5AyI9yF40x16Bvfbo10l2UDrGf8uyBeQK7DOaPeM559j6NfEe8NW30G9D3fJmuIWy/cOHcjymtQQtcVtyb57kAXNusQr0ENXfoi+9wSBOlkr/WffmFpxUh3rs1zODBJfZkwgv4yiSBbRvpnzfW1rMGzg0USeAvrBegZ307/eo69DjnbMHjEMgUcj/coob4gPAG6qQ7oie2F6LxHbpepDxnt7jFzEEW6671WExLQQiYlZP1yHea6z10uaBeg09zXfYTovKdC84x059tCqsRJAP3dv3/nr0yE+/wdOf+WGA2MBkYDo4HRwGhgNDAaGA0cDUAfEcyHYDQwGhgNjAZGA6OB0cDNogH+p/gXX3jlfScB9Kx1DuyzNrp10a1lbjMCW4hoHDvwTHes8dZuY21yYI5x7xl5LfQUmGbku7XS00XMPLBEx7pQR4C+rqGBkxDfY+a9rDrfT7xa51lO7S3GPCGxLm+d3gJyAbrR7MJoo88F4sR4s6+x7cJt9teVbuy6ANvodRzdwHIBv7XWBdws8zweS9e6rnavVxif8e65XqjvcbMWutHyXqPHAJzrQDetQJhs/LnwWWDH+oqaDlc3UFqXrTBd53gB+PNXll7UkHXOHfDhtagZGnrVba6bHB3wTCxNoDbUSWpGx7qJDca7O5DA+6nEg8svHyLp+7wFv5/89iEO/O7z5TynBroudKEXYAzdcj7fUx3sNJZxrRwLyAd8pAHTCmw2ZAWus55pljsQ9lVMfUNNAGk5pBuMC+aA+sA33jHOwW8AOi534auDWOiPVRO+r8Fa58JVo8+NiufcwlDrkC/Q2iCV9QXP2+XsPhwXqMgyHfTCyzffes+C3/wGlNOvTNlWh286fY3MdvkO0AXiAnTdz26vK144WrXF77q8YsELAHeKhs+j+r7hed7fcjhHUoAlLQTclYTQIH2vU86+Ca7RZb0TF/708Iz6N9o0PYApmvP4bFOQuY+d4Dvd4JVYwECAiE5PSL2uy2jziHzn2Dr0hdPqQUC9pxjYb57H4yzYHukNHKOc5R2fzr4O1kiHOlPeEwc4uD5j+a1dzjId7bwbHtfjOXCA9a+rv04Efu/DcrSVTvJ69/s7UINJ7n7wmEOdBvhmuwTnWTs9gbludOugA84B6Myz7rY77v7JO+742Hdvff89HxyAfvp/q02bPhgNjAZGA6OB0cBoYDQwGji6Afvg1C9g2vTBaGA0MBoYDYwGRgOjgdHA3xThDkC/9wsvficBujXNrX2uo1ywLgBnKnjkN+BFsF4AM0C30bkCS13pWRvd+HMhejmJ21FcNbG7nrX7CzEFPgIclgvjCnw0MBe0lPOz4RC/cQ1WBHxHwwvbgaFC03SQ62AWGAPFdagzX3XAn3i1ILYOcKPL3VZAzXphtrXTM+7dGuQJ1HWQC6eF8RxLuK9bXahu9LrNuPeMcHcbHexeB8fIOuj7vMBd53pGw9vorzru5ZdLQzrIjb9nvhzjlw7ub/ofveFAx7nOOrYRngvKy+l99pnlBi+Q1hAw9SM8F8abdpADM9S1kf6pe+E6/aSb3Brxmc7gM9Th7nXrsvdercXOcYD0QjoAGPXOAehCdOA0UA0Qy/XznrKPDnUHuxSMf/LbC5ADC5nHKZsR4Cwz4l1warz6ekca2gKoheJZs7qAMfHg554/JAB8/OL1X/i1d9c1CnR5hhzHaH22pc8rpvvBA4StkgoN8zMC2/rRWe9aCFzvckNHrs9rYl5QuSLUzzyy6pUbvU5Me9aSps91nyfwFmLyGwgpNBe+62LXFZyR7Db3cZ3Q1PtaNeu731cSAHH1Xa+8gHzD5hVT3mC6+ph3oh3c3KMw2VrlusitVS4UF9Zb1sIBDeXY7hrpNJ6niQQ0v60613NghPs7YEIXtt/mBaf7u6wjWwe5QD2foYMoVg31gNEczz7xe78GMbRmE6ILyUkkoO+ZZgS79c8T2FsGxHrpdb6+noyAT6d8Rs1n3fXlVg/XetY+d5BF1jmnOaDD74BgXF3qQBeWC8pdnnXQXW698wTqLhuAPn83zr8dRgOjgdHAaGA0MBoYDYwGRgNHA9BHBPMhGA2MBkYDo4HRwGhgNHCzwnMd6DtAF5QDtZgCBHWUC8szrpp5I9iBg2wr1AbMGClt/LrQ2xhr61sbqY5jeLl820Xs9rrZdZi7zIhhY4yNQ053pLHJuhON+F2xwB1zLOir623XMNenA19nMden+xcwTr+xLRC51jfQzgh0wLIO7YxXL+j/8CvLHX4SjBZcC+GZ51jWROdcwm7rk+/x7EazW3c967kL3a2j7vV5TI+VMD5rpC9H+hOvLve7teWNudeFXnXP291P/1kSoBzj56/UcqAVz4Na50a4M29tcyCf8+k8Z7nHEaQL2wtcN5DnOQvZBd86zYXhwmkHbmQddHRsOQPuobTdgz8KqJNWcPnlFVfPudS75Q0cqMIU0E1UO8DcCHcAOu8kblngHlAQeM5y1vPO+v7xnvFbFzCarsjqcwdYxzLW0a9syzmF0r4zgk1/844kQNchbM1232/OQQ10QDXAVZe58d662gWrXIvfAratGvRGY/dgG1rVne64cOFtRnQL0HV9G5293L09KIF7oJ1Uw9ya6DjQ/5vfu3fBcY7Bb0G4gFNnuvDdmHajuTMm3v10KvvdSTez950ObmHygs0NoY3GZ7uE4X7HfHbWnGd7obolLHzmfkOzFrqDKXiGHisd6wnMheZekwA9ByoJrr3mhO/cpzHzrku4bD8ZqZ5pBM5bs1xNOL/OEzXIfQeE2cci4jvVYEW/N9h2f94jgb7Q3etw/4ym95p1nHs8oTnr7//XV+u9EaCnc90yBbrIHYQhxN8d6tl2t7mwHEjusqyFzu+3v/8Ty5HOdvweB/rp/502bfpgNDAaGA2MBkYDo4HRwGjg6Abug1O/gGnTB6OB0cBoYDQwGhgNjAZGA2+kAQB61kAHqCVAt9azLnQj2oWWAEEd50BBXegAQ12nwnbj1oXs6WL3+EJMQSqAmN8ck2XCTZ3G1jLXyatzPCFTuhYX0GnAZq1mnZHMC5e4XiPfOadOW66H+zDKm2sDjqbj2vl0bus4T8e6cek0Y98F6LrOBeS6yNlGN7oQveLT20FO3wOyheIJwPMYXLOx7p7XtgN5pg4EYL3R9ulu9x7/6UOvVL+wnfDYqHqgecF0aoB37XP70ah+a4sDv4XnPn+20X3OM2e98Jzf1j6v1jDbwRdqctVDv/zysUEaqe+C5ZdeqnviXcjSBABf3e5GuKMJa6Q74MJnswYQPPHquhYHCwjnefbWJgeqAdEF6LjQWfbZJ67VFB1yXAA6TvVym7ebG5BtbLtwVUgn1ETrVQP60sHJXk7nrq+dIFU3dDqhK2KbWPF7H6tr4/wCdNo/fteHyt3NdvaNA1508Qp2LbWg8x54mHW02VaQLgQG6grKjXk34lw4WjH48a6n0xx4XnH0HZ9uyzj2inG/86H6NqQTWGBuZHZCdY9dteLve2pFaxv/bsz7qn29u5D7nnZgbWS+AwS852Ox5J/86vVf/9Dl12rRG2XeDnKd48yznt+/cffhefLOVLmE1oWR7r573JMR+ekq55lwrBUJT2R8O90dNJHOb53hTnPQku5zBxDk4CbXpWNf4Jz9JcTeByTk999jH0s2AGR3OoPXtA/EMMUgneIZ2a5Tfk8WSIAuWKcB32mcl4EyNGF5gfk+rstSp2pPiJ61zx3M4fIE6UL0guL/7I9fVw894Trz1D5/++0fvv62d/13j97+0bPveOfvvvcXGXA3f0vO35KjgdHAaGA0MBoYDYwGRgOjgdHA0QD0EcF8CEYDo4HRwGhp4YXyAAAgAElEQVRgNDAaGA3cDBrgf4onQAeoWY8ZaCjgFnyzTOgozLYeOlCwYOYD1woK6t7leKxjakw223mMVQ894tKtbe1x+K3rvCLe29leoAlwExBIF6RRz4KThC2CEgGQMcrpsuReBVJGURszz2+AqSCU60vnuSAd6AwkFo4nYLeeuNHrgvBsQnJhO3XOBePsZ/S67nRhOHDYqHeui209ZoJ1zyFIF5Ab/a6DnfN6jIyM55kJ4oXo5Sx/+od1z67negDoPFOjzIXKPnP6k988zwLlPIeuQw7UA6RXKsCllwqk0tJh7qAOB3RwHteZcMD26tW65eqTfqKpZc7HPjm4Q8iv+x2doROuSxjO9dVghm5G0+dAE98F7hk3Oe8bWkOLQDSgWka4A6pxoAO9hJTsA7T2XTCSHTCXei5XbkNC65ULs9lfF7Du7oz+1q0sOBd+0/dAfq4LGMuxAPzUUaYOOts4yETHu6UchOTGxK9Y73bwZgS44N04eZ3r1j/PyG8Bs/Az66ALyIXBxqsTi61bXAe5rnHrowsv3UeQSTPafV+fLePddVWvSPqumy4kF1jzPAS5ec4VGa47uwG1tdKF5/Q9+jRi31rlfsfTQb47zIXv1lR3QFEmebjfPvBCB7hO90w9cN/8/ur2dhCHz3k5+fvcDnxgGdpmP/pe57p9aZS779F+LuGz0Dt1IxjPAQ5ehyDddTtId6DJgu0B431mnkNIzjvJO10AvY+zQ/qMdldn6tuBGegCCJ4R7ujeWugJ0YHkLGdqZLvLdaC/954Lf8VvBsMMQD/9v9GmTR+MBkYDo4HRwGhgNDAaGA0c3cB9cOoXMG36YDQwGhgNjAZGA6OB0cBo4I008MzTz71pB+jlQH/y28sxruMW+McyneUAQX8b415O7QtXV9y7ce4AQ4Cqke7lPG1nLvsJOQWU1ooW4FvT2mvwGEI+XY+CbfYRrmfEcToghTUJdQQ9wqN0sie0dZ0uW13HwNAC4x1TrjNccA6YBl5b59zI891dLqxmX9zqxqpn5Hq61QXywG0j1o1/99zCc/erePEG+AnH8xg633lO1mP32o2ET5Cf1ybIt6a9dceNUEdDCZY5rvrRUU5jPZqg760bTl10mm50UwA4n4M8mM866fzWye651IuQ2+h2r12wngM9LE2g69ba3YL2dL6zj7XJy73e8N5rdD3vHDAbaAa8MsIdgM48EB24paOZ/dgevenc5T6sbZ6OWt25AkXWe81qXmhOQ9NMuX7LIZT2zx7ulz5728efq+Pz3gHQeba841zrm2+9p/bhfrlXzmX/+S3JKHHrn7vOyHeuyX0cwKLT3vuyDrvAOdMmBLEJt9lOGGvDce6U7QXWwHNqogvThZg+A93ARrhbD931TgWfQs90v2csvGDUe/JauC7XWwOd+0+47QAHv4X02YpR73fEPl21yXvQUUbD1zey3ecZua4rXCe77ni3MVHA/k8w78AH5wXL9J86XfXte6BT1n034j0BtvskdM/BBUJuda/bnP72vbAmfUbkm0rivJBdOO5z9Hie78T65j0gJN32AnSaJRkE6sa3L5getdQToqsTtagLnWWAdGPcdaGzLCE6y4XmCdb9DUDHgT4Aff5unH87jAZGA6OB0cBoYDQwGhgNjAaOBqCPCOZDMBoYDYwGRgOjgdHAaOBm1cBJDnQBulAaEAbkA/gBV4BcGVdtTDOwjN+6gBOaMdXdyzZASsCr9aOtKQ64ZL3uZoFpQR9qR198seCjse1V5/rsMwUTjZ7muoXuOiMThguMdC3qdNTtKkAHGuq+Lbfmdjy2sX+8f+4HgAwgtsa3MNb659wbv9mWe2Q5fWB8utHfDDhgf6G7jnKhuDXGd3Bex3/04P52P2ueewzj1gX3rF/u9Ud/UL91kAvJBegJyDkmLQG68fE0Hej0DVMhuiDZMgHWKAekCvhwgOtGdz+gH8+Fdca3F3B/4NqC9SYDCNGtPe55WcZ5jYZnnmdRNcvDMW4t94ri79QFjq2O6rw9IAOouQaH9LUK/pm3lAG/hfS+S7xrgHAAGEANCM3xgOff+/73Vw10HasFYe99rKLZ2Y9lXEMNLPnMs/VbmMh81o1misbpZ53d3IMDF2iAcO7DOH3euer3s1dWn/EMAOeck23of64FV/pbb/toHVfwzfG81xUf3/XtP9zLmPreup0DYhbEbRe0jmGvXxc07ylR5st13dHZOs/T0Q2U1vWc7nSBtsAWIG5U+w4o+V211d9zphrzAHe2Z0rtdJYn0GQbHe4Cep+Lta/XN+nuLyzYz7yAHI0Y4+698jxYvxz93W/2r4MrXOf+us7TZe739tg3M7bR0a6D3eW8j0Jwt6nnc+9jx9I+HADgs6zSBcSdRwz/PhjCQSJ+sxNWO0jCb7t11NMt7gAE+t1ofiP181we2xroGbnvPkLujJQXlqcD3vuwJjv3zLY2lvF+Mi8U59gA9XS3A7X9re6sY+5AD5qR7FkLXbieoByneQJ1BuZktPsA9NP/u2za9MFoYDQwGhgNjAZGA6OB0cDRTdIHp34B06YPRgOjgdHAaGA0MBoYDYwG3gie7zXQK8K949sBLYJDQSeQBJgGSHOd7vQEhjp9s541kNIoc+EsYJFjCzoBi0J5prp8dX2Xa7JBH/NZazedq9aoFsK5nTBOGJMRvQIeHZUc3xhkQRXQjr7R3e7gAYEpU4E5EN1a4YJo49SBzC4D1gLJ97rmOsipgV41wx/9QW2DI924caF4NuG1AxU8Vrrc022ezne3E6C7ra7zipLv2uVEvHN+0wI8zoLPDfPpBx3M6KMGQvQzFiYbLc1vYRwa03XuupUC8MC1mqotn5XOdePDjWLXha7G1CjH4bjcaw4acIAH8w4WyMh57snzCi6F+16v6Q2eQ0hN/9UAjx6UwTUyAAQY9kfnvlix6EBTaoxbB51lgHWgOYCNOuMcX+d6gsmEk8BWAJ1x4wnQaUJS3wn7jX4QZmdNbAcr8BvILNxnW3TJdQLjeF9qIMLDhwEKJkbwjtAcrOJ7aew3x/EdpQ8z0j1rsztYgPmq/92Al3nfbV3E+X4LygWqAupVv/yTXz1WDz1rnQvRgZJOBeH7FBc+cFxI7rqMfM9j7suE/XucOf3BM8265satW6de57eDPfw2OjhI0LxAeA8EEb5zrNLqBsFL55/86gLlQmGd6AvAh/s8z78GRUSdcmGzEehZWiMBesbynwTNWb9KdcRxWJY15FmXbn/TANxPV7xx+aYDJEA/5kIP4J/QfK/J7rULzGvasJ332eOiNc/lvRrNnpHubG9dc53pu6s8Qbq1zXWa53YZ4y5Ap/36O//Z/zUR7vO34/z7YTQwGhgNjAZGA6OB0cBoYDRwNAB9RDAfgtHAaGA0MBoYDYwGRgM3owZ2gA6MOym+Xee4sNi61cZzF0i/dADeGWNd219+uaZAuQTExncD2IzYBkwCO4XeOigXONf9e+75ApV7/HTV971wddVwFtAlaHd/wWHBmwY2QvZ0VgruXAeIKuDYsDajvdeAgEuHWt8L2rYbW5e9buxj27Tb3PU61oXXwnRApW51He/WSddtrhvd/raWuesTjFsv3OMZyW50vM5sHMasx1kv/GfemucOENDNzXE5VzmWO3Kde6bvaqAFz/vC1dqW58yyFS9931PL5cyz1xVdfQ68BuI+cK3geEW6n3l2DewQ+FpqgGfBcgd0CNYF6VxTOv59Vq5nSl/x7ByUoJNcZ/SuMTVpagLH0QlvjfRVnx0X+jPfvf5f3/lQAXQawJWa4gB0oDTzuEsBb8AwwB/n430tB/qZR2o9cA4962JlnYAO4KsjtsD6Z18owO28wNw4fZ+h0e2+g1w33weAqgCdhl6A/eVovevy+gY4AId9mOpqtw678JyprnUhueUVhMG+s1w3yxfkbSBs9LgQXRCZNayB5QJYfgMtcYYb5Q7AZl7onQCd7YzNpgHHs7md8wx0+Pu//aH1m2MlMDdG3v1cL7ytiHIHAHSMOvfPvfu9qnsXgjdMr9j0C1fXN4x1PF/htKB91UE/f2XVSPebl2kdxt87mCgHPhy7ltY+2xrd7vdyrwluyzrodayG9kawc1yd4z5Xn2E69k2D4Lcge7nMjVM/c3gXEsJzbwWYBdftPHdfoXXC64yJX27xjmqvSPZen/dsfDvLfOcWKO+ECAdtrAED/V57noTp1j4XkAO/dZcLwwXrbGed9HShe7x0pAvQiXEfgH76f6NNmz4YDYwGRgOjgdHAaGA0MBo4uoH74NQvYNr0wWhgNDAaGA2MBkYDo4HRwM9aA73qlTdAB5IYwy4k1kkLTNxjr1lfUdpdt7zc55cOgF33LvsIzgtW9jLjz7MOOjBIR6rR6RU/jNP47DMLxOmarJrkvb8OTaGa7soEcDrUOYa1nnXiGgltTWGajka2F+YLHAuMXjy4bQHN3p8R5963sJt1gOfbP/fS/9veHfz+d911fl913R0jsZhFJYRYVRqxiFRajYgmP2mUSqMgjNA0wSghDB4KZtJEcRLAgclYNrFCxkY/SCZDGocQnMQyY2WRUBoFKUkzLAZVLGYWVG3UkfpXkOp5vudx/f596hDo5ifZZ3F07+fec88995z3vf7+/Dyv1/u7nff8QcjOBYmB7ErgPJj9R9/4P1fp97JN//xfXPnlgXVqdjbt9qubapyNe9vqdy3FeOWq/wd/fqnggf+pcPc84Lm57lnqU4UDAYDeuDXm3ApY/jdn7KOpVItB8wasWszB3r3fFktQt4PySyW/Fe4U6GI3eN+2Y41RzyjfeeVahLBj2/N1TfPV3F052/diDoB/xs9l/b+V59WrDRbzFmBUL5AHeP3Aj719gXPq86zRA11B28DuSh+wQRzYtoDmtpOWExlAB+O4LCy49/E7JXrvPJV4c9T4NvbNd30LlBenK13Cx756Zzv/4rcvKFofAPRKAD0QSEUu7ULXtF152j91940AzsF8cwzusnuv7lzgsoDrh/9wjSdADLZSrC/b850b3XbB1g//4RrnCWAp0ae9er/bBtNB8fabA/buwDkb7a7pvGtd5zwbd7/nsal2B/yBa7/l/H4gDcX+Ti2F+HDMYG0PcN8uTrms7nNv2Er0xh4oXy4fe2wbnwnQLRxpvozvAuN78QPAvVIL3H/lAVX6WhCxj4Ho830B+anZq1978pMD28YEQJ827KA5eD1t268863v/FoqrL8/5VKQD3dPunSJdygRpE6ZKnSq9dlm3917OfoL7+up7AJyzogfQQXF5zYHw11KZU5qrX7zdnp8K9J949we/XXnkFz700Xe85yM/0d8JOdacvyXP35InBk4MnBg4MXBi4MTAiYETAycGTgzcOwD9BMH5EJwYODFwYuDEwImBEwMnBt4IMfA3KdCBr0oACyQHIYOfHQfE+y2XOdAecAtygZAsxSdQDybWDnXqAmgf++pl0Q5AAt6sgP2mOF4K2adfuqD7BJjU6J2Tf3kB/w3cPF915DZfauenX7qDixv0LEi/FcUWFsj5zsa++hYYUDODstTM7QclH73/re+++9/eWaYD4VfO9D0+nQPFwXPqcHnIpwpd/aCwvOZgvJzpE5CzcZdHvWunEr12QHLQ2fWguoUCwHQxQ3kMvAb4QPNgqQUQzU8AziIJQLl5amwVcwj2yoFusUWLDrgYNJbtSzVQnyrs5tuvXvuU556pZ2+Mp1NCddt2jDq9c0B4z0S9Oy3P6x8b9PopZnp2izi4GrBwB9CzbC8PeurzYFu/3/TIey41Lgv0oDklazAbcGP5vOzdN1gP6FksUqkP0jYU34FVanFKfQtEPEOx33mgOhja7xaOpEivn4HhBWx3Pu3a4CLQMxcfLNun+rz+TLcHOdO7DgimmrYYBuSdObDBZkpoiwyATdbc07od9AXNAe1pzS4fues71jYgCX7Lte3aqVQHz9WXA31axrNwp4TWf4p0sNo4dZ7Fehb2IHvPs/Ju//bLF0xvH0Rn+Q7Cm6srv7lUGTs9AfBuUcs15h/eCvIP/+G1+GHCcPecMVfMyGM/863X35XbfijuqdQtkADAxfeVyx343gsMQGvzLOc9QN/9pkMB4L3GZ99/vjvXwpgNuWeu+rXg5/4rlz37zMGuDgX8VK2D6fKdXyB/g/kK5XjXUI1PNfqE5hTmE447zsb9e1m5t7+cEd71ge+A6AH0t7/zsR/t74SH/bfKKWcMTgycGDgxcGLgxMCJgRMDJwZODLz1dTcGD70Dp5wxODFwYuDEwImBEwMnBk4MnBj42yrQJ0BnrRzsCvixeGbdPfNWsySvXmBxwfZPfmMda0sBzVYcaA1esnyXl7n9ZftdrusNTX9l2EFfuc5T9W61+ls+9MVVn2V28BK4pHAG77of5eWEtupREwOhlNAgD+Uzhf28h3GSV5sKm2U4KL1U0J/5Dxd87lz1AfTqqUsFDo4HeEFtCvKU5bXHRr3jM3e3e8nHbi5AfoC89oPzbSnn3atrzZk+gtGdXzFx/+tXHDQu4HJzEszmKtB4yGN95Tse+e2X6vwTdykBFoS+//VrXuoToE55vhTpH/vqlQJgxer9r9/Zj29XBIs2PIcc9Y3LsqHf54z7hOrdz2ICdu9ypq/xvX/3TMWF2JnxuBZrPPPKpdBfCznuv7KO934FvgOrwbQ3PfKe7/7gW37xAujlPe+dDKIH08C227zRE8aBbUBd7cvJ3P4E971z3cNih7ZrAcJOu2ABDWDfM/ab+0Mq+fradWthx6e/uGzLvVscHJrv+R6uxTefuLNyt60AmDNdA8g+c7ZPkA4KXzD5vZ9c0LTjM4+1til/qwded6x9YBwInyrxftufgJwtO2t3wPu/+x+euJTmzetUmwPrfgP0IDzFfM9R26A8Nbj5W783DG+fQp/lOQt2Y3rZm++c8dJfsL83lleO9W2pzuZ9AnRzAZhb8GCh0Zwr7YD6YPn1DdhQW9vg+6w385xPyK6eNvo9VeRyyE8bfONkPNi6dy2gLlWAMtXpU/HevXuHAuiuncDcuwfYg/UAfdsHlPPDRQJAl+8cNC9++n2rIJf3/PY4y3c5z2/Pd9x1AfRH3/fsl9/2c+//pQPQz9+P598QJwZODJwYODFwYuDEwImBEwMnBu4dgH6C4HwITgycGDgxcGLgxMCJgRMDb1QF+uMf/+NPT4AeOJjWyuCXvN3BR8pyStXgIFt3Sl9Q8srrvVXPAXTKbLmWp8p9KR+fenlBSDmXK5TtQDdVbABV7nQ501d/d25thZoWBHdPNtyAL2VzdZSuAT+7j8UDlwJ6A/3qUKJPK/vqBqXB8eAtwA12G6cJrymhL9i9x5O1e5AzQN45anSQ2/ayXP+DP7/mhsX7VJRXFjDfoP0BCD8WRMxSvYDrXEhgH0Rm7x/o65gc2JTMl400x4CtQF6q1vq74e2lis3Gf8Dz9XvnRe++jVXXAevSCLDSl3feggP27mK7azvec1GuX4sJxmIHlu/1w6KA+sdi3rOsWN3PRmG/oP5WgAOyQa6ga2A1sBZAD1BX+h10T6W+lNAbmLKUZktN4Qqgdi5o3n0C7LWzFqQ8f/deecd71umiAKRL57CcFfYiFwr1nqO+pTyvDsv5cixTybNg7zrvBCcICw7AYM4PLMgthLlybe8YAYbtX7Gzof08Ti3c81Jby88NmparfOaflps8SPlDb3v/pQx/rZzobQOPlOra6Vjnm0/K8+aVxfu0d3cesO/a+gHKB1TdgxKdRTprdQprUPe/fey59fyg+wWU90ICY2wxEWv2qSA3zlIESJ8hlcWC2jttwbWYYavWpQjQ5vqef+SVa+zBdjBbn8yl6wF3TgQU5AB2z8AhpBiabgQgPPA97eynSrz6FpkA8B1fCzeevstlbkEBhwPgXBs5RfR7zcdYAKEd7c/c6BPO3+Zbv1WaTyW5hRriTP7zjoHrjk+YPm3fp/pcTvRbgJ59+0/+05/9+8e+/eH/rXbKGYMTAycGTgycGDgxcGLgxMCJgXuvwzF46B045YzBiYETAycGTgycGDgxcGLgxMDfRYFemYpQCtGVz3iDSDAVlGT1TJF8qZw37K0OW3L5phXAmTKVepnKeNpAA94s4+VkBkBrI8Us2/BLAZ3F9s7Rvazln3nlulfXsJ6nJmZZTWnedUuxvC2+a2vd+/7dvYBaAF0+7Xlfx4K0VPkdD8QCs8HyjhnHADeVMzh+qzLvHCU7pXnnqcS1B6RTjlOgmxeweELm+tz5pTje49izdq7n7dndg425BQqB8pwB2gdblwX0XhixHAK2VXugNLhuvoG06loY0fHqXTnvd4yA9vUnW3wLM9i5L+h//08v9X7HjUnnxWfHepY1j43JtsWvXgr1ucgBPKfIX+1uFTol+orfVPFSDGzlLmv3ni1Ql7J8KZAfe+6yel5q4Q89/91//x//82Xj3nsZ4Kp+wHfmum7sarfYo2aVmoAKfC1Cuf/KgujeaXC7fqx34aN3ixso4y1cqW7PFQCvHyzYm7+UtynP24Lp9T0bdJBeXnX7IP3lJvH0SxdsncpzvydAvRbJDGg+86Pr15UrfZ8DLCm4qffZuIOizQUL92mvrgDsFORBbUrzmUM9KD4BeoWVe2WC9ZkXHWQHSG0Dp81/9+7ZgFZ50oFy+dzbFh/1x8IVYytuLjX1cNhg024hgvF3XefW+7chN4Bu/L2/ILs2VvvB9Q2+OwdYczOwwGE5UIzz5q659X5Ql7uvOZ59mTCeRfyMk2nNDrbX/koTsq3jwe4H2t1AXpxJnzCt3eVx7x4U8rZLeb4h/a3V+4Tm9inIb0H6BOHFydwH0ad9+wTob3n0icvGvbpB9GnjfgD6+bvx/NvhxMCJgRMDJwZODJwYODFwYuDEwL0D0E8QnA/BiYETAycGTgycGDgxcGLgjRoDtznQg2AToLNxrwSeA4OBxoAiCHypl4fKmS04gE51XRugr9zpciLLgc66m316/WkfwAf42KcHc4B1gC5AOXM4s+xeVvGfuYO/E9ZfCwO2eppl+LRqpzIOmALJC7Q//7XLOhx49DxyxdeHaQleeyvX+f0/XfC1/NEs2rsHVTpb9cayXOkzd3zHuy+Ld1Cbuhost9CBYpxlPJW5e8186/W589WfCxbqb9d0nOK738FgSvAVI9tGP8VpBegGzy/b563QltMcgF950bctNQhcHxYom7Gw48GY6Y9FAhYO9AwWFbBwpyzvWsp/6vyunzndLSaYix3Ulb++Y9VpLsU1N4OpQLdwoPNsnKmMU7uycm6fovv5L31z1QNsg+2NQcdW7vUU/E+9fAf8f+duLC1OkEagd7l3qWPVadyK045J1aBOanWQfOVIf/Hb13s6AToXh45RrNfnIH99bW67t3cCUG87XRp8Zy54uSH5BOzgY23Kh83e/YK0LVR46g6CAq3FUOPBwtz4gqDKVCWzcmfrPgG6POggOht3AB0MD5BXsrMHxis/8o8fW+VNj7xn1Q1Ych2gaO+aaf/uHoHQ7ls/F+gckB847/oWAEzL9+KlrTGZ+eE7Dub2zrF5914CxxWuAGC8+bH4oXbWYpYbh4Bb2/3uM/OfP+Aa8Gv/8xW/U6Xe3PttnrgMiAmuC7VHLe+et4szil1g/LJ8H21JdyDuZv8vO/mdi52yfNq7A//amfe6APq2l+/3rercloU76/ViZNqvV4LfAPhUlYsREL22ejflQXcNcD4BejnQjwL94f+NdsoZgxMDJwZODJwYODFwYuDEwImBe6/jMXjoHTjljMGJgRMDJwZODJwYODFwYuDEwN/Wwj0QsiDb/VceUKCD1mzLF0zdcJESFziXtxukpPqlEmd7HWwLNlKWy7F+WaZvhXPH3ZdlOgt5fWKRHpQDq9lQs+hm7931+uLajlGOg7NLZb+BOwhenyuU5dpp27HADcvr2nNvYwXU1n+Av9+s2qnKZx7unqFxffT+ty4LeDC43OcgMVC6Fjrcv1vkYBEDuL8U1vfv7mm85P0G0Jca+/lX7eyB87mtPTnqzcPKofzMK6u/jrcF5QLsP/Xs3dwFjwDy4B5gxtqcgrs6XAWmdf8Vg1v13XlqeYpzOcen9T2lObt2SvTO1S/W+TO2Wf8D73PxgYUGgXXHKdIbBy4JVPgr1cEG/iBa20BnyvDs2YOlgbiAVzA6BXoAvbEJqgXQAnFANxDJLp8DQ2NQTNSftmA4gM5WfTkPfOIOaIPkvZds9ltUw3IdPK+d9h1nXV8/U6MH6uon63TtmkcAvfECz/Vr5jWf9u6su6ciurGrrQUsn71TpxdLVL7gZP0AgJf6fOfcvvKh77ZrFxyXs1pu8o5PZTo1uH0QXVkg+5H3LBDedpYAOUjedROWg+7VY/PefRpP9u9zS6VOvQygV6ihwfWpOjcW7Nrlj5/KbLb3C4hvFwXw3L75D1hXH/CeNvrrXeybPoA2V4neEfb8l4p9tz/bAvNZvlPCc3bovMUSE8izhp/51Ts/c7Qvq/ig+44vizqKgamQ79uj7X7PGHOMYl2pnQC6tiwUaa7EpRilGLdlyQ6iSwsgFgBzMLzYmRBdPvSZK/21bNxvr1lQ/d0f/PbJgX7+djz/fjgxcGLgxMCJgRMDJwZODJwYODFw7wD0EwTnQ3Bi4MTAiYETAycGTgycGHgjxkC5TSdAD5xTobc/cx5ToFN0g+GAITV6FuJXzu4NFSm6WZYvNeon7lTaE5zLhb0Uu1vVPZXkYDfAHcSU35xaegHn1NP3/3TdK6DnWopZkLT7APSdY0e/1O3Pf+0CsOA6gN7zLwC5x2Gpl3fbcrqDrt2HAr921/PevwOvtR3oBmuVrNtZvbOXD+5SVcvJHfDOtrw68nLLhe6+VOZTcU5RzUJff/XRs1go0LxcdulZo+885HKSB4kpPqmcWZcH2ajQq7fcAPb1Abs3v+/OfhwABsDYugellmo5G9OH3dwAACAASURBVP2dTx1I77kB/KVQ32MJdrXfM1okIH7NmfEWR825MW4OqNSNX210HwshxPd0VWgRRHXab8GAOJ3wvX4EtYJrQSt5tH/8px9/AMAG0LNxB6y7Jjv33tHiLNDdu8Q6O9A3oblFKl3feyzfuXcaQO94cG8p+bdde+12HyBdH4D7q82nP7ts2/te9K4F0QOGQb4ArRzQ3g151TkVAOLSRFBAs2sHMFeO923vDV52fqmln3nlSvNQDHLPuCy8N7wEzSdMB5U7Bi6v/Nbl237yU2tfXmvzQvUNaE7LdUp1Nu0AOmA+lekAO6v3Cdyn7TvwTqE+YbpSXynUlWnRvizqs25/4oU1P55rgXOLCnZd+evXQheLDraaXxqG3s9+N07s9edCB4prYPzK0e73TtFQHHStOViq7Q3Lb635Lxv0nQsdjK8vFnuB5VN5ft1vQPrb96DiGbtHMece3q/pjKCP7vNA/27U8o5TubOBt+ihubMQYgLyYgH0ZsluoUZ1qMenDbtrb1XqfqdAr73b45WU6QB6KvRHfuFDH337Ox/70RbanTzoD//vtVPOGJwYODFwYuDEwImBEwMnBk4M3HudjcFD78ApZwxODJwYODFwYuDEwImBEwMnBv6mGPheAB0ksy9fMuvzmesbQAeCQXVqX3broDsVc8CMarv2AipykKdYnjnSgU8QtGPyjrsPW+j2A6gsrNnFg9pLCbz7wFa+fYATOJ6AuWNBxQDpvJd7U0RTjwPdAW0wW/uBWpA12J0qfFqpy5UeEAZhqauB3toFzJfKfaux3ddCB0p51y9L+D0GjU3b5rQtKD0BevcKgLOsv/qwIThbdlAtENW1LNuBy87VxlKq73zKXZc6duZnBt27/oLnW5FusQNgDub3e8JugJw9ezBc7nMgnHJfjvNKz9qCBLAb9O9aizi6VjwVDxYmeAdmrvWubX4o+S0yCWIuO+ytKi2n+Q+97f0LerbvN4DeNnAegAtW947WN4C8dwig7jeQzX7d+wtEBvN616nKA3zeQ4taagdQlw/dwprabL9+BLD1rzrdt/IP3vrzq7/yqmt/wf3P3b0/xdGtZTtgT7EMmLc/c29TJ1/q4adeVSs7d6mTtyoY2ASJbYH+CdEX2Ny23NTbQc6ZKx0oD1oCoNWdSnIg/U0bordVykM9f0+I3rmpaO84eNr5W9U71XL7+tlWrnQAm2U71fN8PlbvbMgp9IH2xt8Yy3OuyCk/ofkE1/Vl2rSvfOobkHe8+8pnLxbMf/2d6UQ4FbgHF4GOixM516UymDnRWalzPeAGoY4FHWJvHRdfz97dX8yJRe/VA7bze4GHOPW8jZPxNT8U6CC6LbBNZe548eBYsQKo29cWm3Y50ynQb63bwfZbgH5s3M/fj+ffECcGTgycGDgxcGLgxMCJgRMDJwbuHYB+guB8CE4MnBg4MXBi4MTAiYETA2/EGPjyl77wI+997uUPPvG7X/nWBOhBMIpT1s0AJuA6VeYA4swpDdyy8watAdjZZuAucNuWshi0lON8KUw3NGelzopbfUr0YOrKq33/Dl7OPN6gOIA+c6XPfO71hSKdzXvPWR+owAFr4HaB8q0CZ6MO2MrVXQHIFwQOiG8l87Ju39d3n4DuZZu+c4qzYO8a/bewYI6B573GfN+HLT0rfTbMwPdyCwhgPnN3ryA+hXhQqLYa2woVMeU4+B7Q0kYFQK+dBc+eevmCcJctdCr2Z1651OuBKG4FHAwAdM/u+SykkP99WqyveR3zAJ4Hu5fl+7ZsX+r7+3fOCM11+/W5eQDlxSElujnlCGCBhcUH2lTH+AUMg2bBrGBY25SowfPstwPo5T//v77znWXjvgD1/VcWbGMZTWVu7upL8DzI3nbmM58Q+Td+58WlQl7zPtI1NO7s1kF3sH2pde+/su7dft+Jftfec5/+4upfoBBM/+E3/8x6RsDV4pvabny7nwU0LLJBdr9nfuz6ri229dNemzqd2hckXikVtqX7VK5TuncdaC6PdvMiz3bnKbp7HufbBtDlJ6dAn9A7YN5CApbtyoTp085dPnS/KdAB9Klgv7WMn/cH9B0H/Wvf/srb/eSnLjgO4gLh1OgAd/vT/r66C7YPO3y5v2f+82mVb6HEVIK3/w8fv1O5A+gWSZinW0v/K+f9hvH6VhE3s35xuhwJdtuu6RzbeXnR1313DBWvxdqyih+LhcSdbxQLen32Hex9EtfU7hZ4UOvXVxBdOgAqdAAd4A6OzxhQZ7oYgOoTwk+l+fezcAfWD0B/+H+bnXLG4MTAiYETAycGTgycGDgxcGLg3ut8DB56B045Y3Bi4MTAiYETAycGTgycGDgx8P0U6K8F0ClMV37i+69cOY8DB0EwluEUtzMXtPzdQHhbOcjBdOAsEBlomGrv9uUwD0QC3KzdqcPdt30K8kDlzNUOvFKZ9xv0B7NnXms5s4OqADn7dJbsge+OrXttdbj22LVPUAvIs02v9Bzrun0vCw0sRqB+BngBcCpwCmiW9vKWyzENgrPLXuP8/Ncu9fRUcTcftUXtz5q9ws6eTXvAVs5tFszqguoTgFUPgGpfTvQJ51wnNhS55DvO5n+q5IH2Sv2cCxssjgC0OQA0d+ZGseBCzBTTxTKoLgZrt2P1odisnpQBzfNzX/mrB9wXZpqBUhsAxsFEOap7rwJeQWcAPVgbQO9YCvSAeGC6uvIuc1dIKd5il/qxFpZ87s+uY72/nCSAvu4RPPeO3wL06k0HCqrtAGDXNV9ta/vK9/zkp9Y1+lm/g3HrGXde6saj/sqFDlCKE+r4Bby3+thiDPm46wMFL7jpWuro6nVd5+pn14DvgCsg3zyA71TotS03deepm4PlAWOqbjbuLNXtA972AfL2qdEdf9OwZp+50gF08N05tt7qAalA+YSpE6yznwfQ63uK5J6r57Yow5jMxQMWucilbhFBc94zs2unZKcgp/CnNG9/2e1v1bgFDMtO/4kX7uoNm/UJ4qunfxZCiEuQvlQQD9i3b3i9FkzksLDV8Vd+9m37D26D+VTqU6E+F2347q2872PBwEwPUL3eRWku+r1Sfmyr+Ms5oYUKe1y8m1OJbv6oyAH0CdgnKHeu39Vl7b7SKew2UrM//mu/tbaOTQt3ED2A/uj7nv0yBXo27udvyfO35ImBEwMnBk4MnBg4MXBi4MTAiYETA/cOQD9BcD4EJwZODJwYODFwYuDEwImBN6ICfalSNyynMLVPQbfA3baGDtRN23GAEYieuaopUFP0UqRSs1eHJTor8u7Hjr19imCW6cA34F47AD4Yumzen3ll9SWQClRTA4Pv1Miehc15zyEXefsdv9Tfn/+La6EA1Tp7bznIta8t18q1TiFN3QzaUy83VhTLPQdb8MDMun5DZGMywfuVK34vJgD7G5PmjbLfIoOgJtt0Ssyu6b7mcDoFdLz+yY8+bd2DWbf27UD6UnQHvbdd+7RqpjiWw5wanXsAeD2B+oKmW3le25Tn7U+ALu98in4q9cZYrvRrjIYVvkUgcpj37M25dATyjYPoQXIuBTNumg8LJ9hoB8kA6IBq8OzKef3OZxZITykeQE+BHpjuPQxOdzzAt2z4P/dnl+K894R7RPWA8LZAMmvy3mOLZVi01x+W7QB8x4KHcqgDkhTHxWBtyoGuL6lcg8jB0WWpvRdpTJv4S/G7lcYAevdivQ1g+vaoKxc2NbAYW1B+91m/5bGmNJ7W4/JRB3wpiUFlxxsvNufVab/zbQF1ivSZIx3kBsyp0tm+A+BTZQ6Yt/2Rf/zY9fu/edsvXOfncXbvgPyP//Tj3xOsF3P1C3itz6znl0X7+z6+flPZ9/ypw7N2X4r2x557QLFuXz514yXvvLEE04vxmbv8ys8+XAAmWKeGl0uc1bq5v2D4R15c/bys2+W7HzB+5kSfinaW7foD5ksfIZ0AB4ar7fGsxRyr9xmXYlMfxbCYpkAH+B9/+rPX4oaKvOfmiF07xwPz6Bhrd4snbuE6gC4P+i04nyp0AP1tP/f+X5IH/WH/rXLKGYMTAycGTgycGDgxcGLgxMCJgRMDb31djcFD78ApZwxODJwYODFwYuDEwImBEwMnBv6mGHjx81/8e7/38jff9Vp50KcanSKVJXTwMDgJDILdQHEQsd/AaVAhWAkKX9D4/qs5t1m6L1i+1dMz3/qE0I6xZweQqcZZo1Mky32dAnnmwKYY71moyAOAIOhUiKsPuitdq28gexB92tobo54LQJ/PbLEBWAxmN1aNX1AajFzPtcEMaM1iXjtTsc0CnxU9eOm+8nwvG/Tnv3JB985Tl1N3mzvAckHurSJf+dKf/MIdaHvihQfyBlP/18Y6t8G6BQKegy28HNnFi3irz+Jl2biP/OKs9CnmawsMV0due3NpnOeCCgsPZi517XZdwHwCeYtGLLzoecSfWG7uapNytmekOA2UBcwrVMztN4bv+9jnL4AemM7SPTDefuBNLvIWRFCdN1beV5C8EtibUBKYVHeqdOvztHBvYc0FGYdldwAwsFg/u3ffjrbB/nf88q//dWB4qXK3hT8lLveEpYAfUJxjApUuWCq/tdhk236b79w9PJsFAXK8G4NpDQ+wTrAK5FJVg+MU6QFNecadb1FEdUD1mR/dwogK+A12VtaiiZs86PbZwM/fIPq08+58kF0ObMf6zRY8mAq0U80Xf+JuPhfFebEYBPesVOhypTsOcM888jPXOXX/lT/8NXKsX9cNQD0V5GJw2p9XqlMbQXQq9Nsc7OZV/X6v2NgQXbyB8X2PikWW/+B9sUeVT6FfTEttIGZn/vSZYoCSfcJ/OdkD241/3wW27mB6RY7y5nFatU9L98C5uZ8qdfnTp4177yiQfgvRA+g/8e4PfvsA9PP34/k3xImBEwMnBk4MnBg4MXBi4MTAiYF7B6CfIDgfghMDJwZODJwYODFwYuDEwBsVoGfjPgF6JVAXOGPXHOzqGIgeDJaHnOpWTuq2nQ+SBTvL2x2QKJd2cHOBzOdfVS0DvRPe2oLPlNrzGMjKOh0YvYXl4HsKYfAc8GTP3nXaAcX/1b/7T5fSnEodZA+kTohev6aSHVStHXb0LKtZ0s9FAu0DyhO6yBcemH7Lh+4U3I0VhfdUa7PYX1b3O6fvAuBPv3TZ3FOOO0/V3rZr2Z93bNns77mqb2yWQbAFn3YucznM/a7UZ4sCKNsX1Hrq5QXH5ENfFux7QYBFAq6j3CzWOga4s+aX353NvfzvbN7FR8AbwHcdNwIgnPpffBUXxauFGKnXJ1gXN1O9Tp2/8sf/zpfXOwDurjzJH/3Cgo/AIOAayAJeg+dB9+oE0APSlXKNpz7vPWwcguYU5hTn3Q805yBRAZQB9Npmcz4BORV3vwH6zgOezU+wEpwE4YP61QP46+cPvuUX172MSdvGqr53D7nbV577nYuaghzQZN0t5cNaoLAVvHKmA/TXYo+tLAcsAdjuDZ4u6F68bstxdt/Vlw+dyrrfzU378lQDzaD5BMwU6NPOfVq8X04DW1E+wfqE4fZnvnRK9Oq7xnWpz4FTkB1EB1Ip4dnBU9CLwzXH+5mB8vls4PaVD30Db9b3E4w3D+zgKaxnfnvfDfnLQXQ28dfcjwUR/W6fnf8E6YFvoBus14ZjFN8AthQBIPbKlb6BuvdCzvLa4nrhuyVlReekDKBMB8irT9mufc80FwHMRTUcEJZjxAbqge1ir8J6vXksfijNzXVzDLDLg97vSt+aYP20bL+1cF/l3R/89iO/8KGPHgX6w/877ZQzBicGTgycGDgxcGLgxMCJgRMD916HY/DQO3DKGYMTAycGTgycGDgxcGLgxMCJgb8LQGfjzioaQGcfzb4dZKTGpRQParFmB42BYXmqgyhyVION7MYpzEFJ8HTaeAc8OwaMTpUweM5OHRCXrx1gX4rzbbvesdqoTscBdIpzoFR+a9ezAndPOdJBVXnGqW4prAMmjoFJAMtUbK7czE+8cAdZPvbV69qpXgTCW6QAjIONAPoE4UtJviHQXMTQHLDOpyhnzz7zTFOAyk9+2RXvHOjA+QKtT7xwAf6Ot218Jnhvu+b/+btFAaBUZeVj38pkiyU4GQCy07K+QunP6n3Z7e/FF41P48RWnaq+OAHVWYzLhw6gczRgzb8WHGzY3jwbw/rUeQr8xmpaRIOrIHYK3xTcvWtBryCgXNLBrNTnIHrvYOCrc7ULnlvg0liD6SynnZ/5ygOZcjxX58ov/swrq8+cB9paSAOCstsWm/Kp1/+eIxieg0O/f+DH3r7AnzgVSxwQui/VOSt/CzNW2aBTvE9FL9tseeXFoboWa0z7+eZ1KX13jnQKaTm7axM4Bma9kzPHN8vz9sFzY9J+8wpszjzpVOBg54TfqcwpzW9znwPj6gDq7QfJ21YnuG5f20r1KzOHdrA1oErVbFGAhRyV5m8uFKDiBrsB4OoA7hbTAMNdU5yBxzNfeMV1HBJmnWKga6fdeW1yR6B8tzhkWrWLrwXqS3WxF+mwWQfKLciQkmB9d3bu8s4V12uhxu5vcUT1Drx3HXv6xkJcsZHvN5AP/OurZ6A6n9B85aof+5Xmi1K8381lx+zf2rt3Tr7zW4B+C9HnPoBeHvRj4X7+jjz/ljgxcGLgxMCJgRMDJwZODJwYODFw7wD0EwTnQ3Bi4MTAiYETAycGTgycGHgjxUD/YxxAn3nQA2BgXAABpGPhzhocfASv/Q5SyvkamKMctz/V0Q+o0Hc+b0C+Ijc5iC4H+QUvt6qdCh3kBMG7DvxeKvKtKpfnml37VJBXv2eZEF6u80oAf6qQqc5ZxstVDl43DsHbpRzfUDuwx/b4guc7JzBgFMyiyJwWxwA6CAhatwURu68+LEi0oRBgLRc5YA1qsmfvWopwQH7B1adfWirpmWPYM4DoFgRQz1e6P+C5niE4vee+vlC+W1RxWbbfv7O5B8TYrK8FGB/76gW7V/8/8fU71fe2tadAb+66Vyr+afEvv/laSPD8165UAN23OmzvLf6odF6fl3o60L7Vz+33fGsM3vvJy0J8qVa3Qrc5751qTjoGZjXX5T5vbJvzQBiAnjV6YLrrFgjf0K32ezen5Xr7Fr907863D3RWque4HOmcDbyjrNMvBfCG1HJb9yy9g9ULuFH9dv8g3QLC73zmAtwz53l9pSgXV1Tn7gmUz3zSs45FIBZpaGuCdAr3no81PDgP1LLodk3zYMFBx713097cewj+UlGzNa9Qny9XgUefvFTnt2rwSmP1w2/+mUthDnb3+xaCs3VXqlMB0dVRjxrdftvaDqZOoE5ZD/pX5EWf5zwfa3ffKMcsmDKmSxW+F22sXOhblQ66r3Z+9VWLd+cnHG9/5SW/f/fNqt4C609+6nIYYNV/pSrYC3+mrTuLf6kUAPAr7/pw9vDd1H8xVzzNXOhdZ+ERZwb3mlbyXT8Xs/Tc08bd+7lyxW8lOoBe6Z1qW52OA+jU6eA6hwHW/WzbJyRfbW2ATnE+AfpUoAfQW2j3sP9WOeWMwYmBEwMnBk4MnBg4MXBi4MTAiYG3vq7G4KF34JQzBicGTgycGDgxcGLgxMCJgRMDf1MMPPtbz/4XAfT3PvfyBwPo/U9+cILyPBjnd6AggMBCHWQOYFGKs8kOXtUW2L7scrfKFaxLFUz9G/ySxztIuSB2gHDvg/DzvhVQkzI4KDqBOMgNfstt3jYLd0Wdac1OhW4fRM8O3v3lNG9cWM9bJNBvFtX1EzyXBzg4QyVJEdl+x1kng3NBFzmDZ45h8BqIAvyW4vLZB0EjuMPmHUBvXrS79nee8nke1GfhvO6z7ckvCLZztlMwr3t87KsXRG/OL7X5VsMHrmcedLGxlMK//79dKv6Vz1z+852vvEUJzfnMdQ7Gs12nTG8bQGdZf83TzpvecRbt7N5B9FmCv0tNf//OHQHglXfefE5XAZCusWNB3bvReAbAAMpl+70BeiAsO/Qgegr0LNsDecH0tqnVqV+p0Snep+U1aFehKF6q4K1Ar736Y1GFBR8rv/1W7ooFjhI9m1ivry0CCMazZu+eb0o9/fPPXItkpvV677O+U6EbR+ByPgdrblAS5Gz8F9jf7xWADrhP63dOANManm072LrqbpBLLeydWirzDY/XQpc9jt635i2ICSQ3f8A0q3Y5qgOc4PmE6/JZU6NXwHWW7I6xdAfRJzDXlrrT7r3fM3c2BXpl5kIHYlm8Vw9cp9KfUJ3bQONBbc3e3KKPaZffGErlwNa8GKqdy9J8WLhPK/WOF7ud8x2b+76PFkWA+bMeCD7zo0/4PeMAqK9/XDhmfTHrvnNh0QToXe/ZWL3PBQPGcSrSl3V8i2yGvbtvRvPTtYC6+fA9qSwI/75nLuV6+/Kg+31r374U6wegn7+fz9/PJwZODJwYODFwYuDEwImBEwMnBh4/AP0EwfkQnBg4MXBi4MTAiYETAycG3sAA/ctf+sKP3AJ06tQU6EqALtAVEJa/mH07u+oKJTCV7lIZBx+3rXLAhJ22PNlTVUwxLs+4rVzo8lUrwe+lMt5QPOjaMUr0jlOWU573+7mv/NUF0duyeZ+QvfrBcm24X7/d07N2PSDMop1yujG4FL7Dujgo03kAGkihPgfJgfOl9GSjvQEeC3jgB4yfKkgwZ9ajKAZ5A4AL2G/7dSrOdd17P7n26xOovu6xwfvKj7xt2af9uxjoWHNe6TfVMKV4c0LJ3T4Iz5K9eeR0IE66vhjq+jXPf/Dna74WRG+xwrZcD/R2vP2fevZPVx+WCn0DYDnoa5uzgIUYK7XAVquLva4D0Pu9IN2zX15tWbiwFiNsNWsArHaNA8tygO63nv836/0qZ3jQcsHzx55bkHMC9EB3IK1c6AH01N21RRVbW91bnu8FjbdyFoAGKMVNx+b7XB97zgXQd7qFji8HgadfWvPBortxsSjj97/0J6tMmB/0DbYWExaSLEX+x798N867v2AlYA1GOua7QgVvy8XhSlewobqFG8A8iEqBTpkOZK6FA3ssJqyvWFSy8liPfOi9e+y6QVNqdJC5LbhMhU7Z3dzebgH3oHbAmzp8Wr1PiK5Qnk+IXt1b1TolOnDuXM9DsVwBzCvtg/xTmd5zBrDliadE920DhSecBosn6GarbjHRbc5zc0GJPm3PAXmA2gIVi0X6zdnA9dqei48oyYH/2b5v4OyLPlpIZDFU8SVNwrrfVuFrv3O9f77vS22/FeUU+fUBIF/XbPt2+dEdq/hvAMt3bgGg+Swzx3nbviNThe7cO3751//6tRTox8L94f+tdsoZgxMDJwZODJwYODFwYuDEwImBe6+zMXjoHTjljMGJgRMDJwZODJwYODFwYuDEwN8FoANWgbcgelDsFqIHwuSJDkbKNw2YBjQDF8t+eyuGKbLBcgpfEFWd4F0gOggHkE+IHrRjxU79LQ852B3gZq9enY5Ro1Ohty+P+T/7xDcvBToVujzqU5He/i9/5j+skrKZBXz9Zt/NIp3iVp7zoAyl5QQ2E+CAc5SZ7U9wDsoFYUG8Sxk7cjXPHNWVAEt9qZ1UyxNoqXMp17PnHvnLiwf9rL72KVDdl03yepZtAy4P8AVgn//aAt7Lqn/HAmv3wCz1Nkt1zgXNMeDNlr263AfkIq9U93I02Pbr1Vl2/5/8xgXrK/WnNrgaNI/FWXPatazh9aW2xag4l5t9xjI76M71rnBOqF7jseLl6ZcW3G0OA+JB9AXQH3tuzVNz/UNve/8C6Fm49+4F0R//td/67geevsuHDN6BjQHNlfv8Uw9CQ3O48p5v22vwmCK3fjbW3uOelZoc7Kztnomad83Btqivn6t/v/3yAv19O1bu7nc+s2KCWr/vhtzS10KCbeneMTB/QnP52qdyv/3617XXAogdP47L7U4JTYle/7uPxSEWAQDyPY/rQGBwFwgFfHsPwdbmrOcFnsH0WSiEqYS909TeFfA7VTplesfbViZQB9wba7nPgfRZfyrQldq21c6tGr04A9Cnvft6/ze0bSx6Xt+uCbqBZs4Lzq8x/PBdCgILJ+RMv81tXuk9mXBe3Sv/+baGV+bii1lvKtv7xumn73Dvif67j2+xmNQH8UFNDpAHp6VaAL49V+8f+3+OEBOaz/znyrJ119Zvfvb/A9ip032bmxMKc7nRwXJW7bfwHEB/LQv3t7/zsR89AP38HXn+LXFi4MTAiYETAycGTgycGDgxcGLg3gHoJwjOh+DEwImBEwMnBk4MnBg4MfBGi4FbgB5oChQE7QD0IF/bwBMlelAsYBjQBQmBUSrjC2xt9fDKWb7V2F3TbwBUruqsquVTV+QYn0rwWzX6pRb/gz+/lOjVpT5fAH1cQ40OlP+rf/efLljePqt2x6nZ5VmvP5TmS1H/5B3EZHMNynWvgMyb3/cqqKZmZcsOZIJT1IUUrFPVSgVKucji/crF/MQLlxq2Ql1LIV6/6ivbd6r06rDnbkuxC8YvlfkG/1PJbsFA9YPVlz38tqwvZoLHzbUxaL71o5i5rNR3bCw1+vNfW+M6wfltAcMBder09l3fc1voIO5AevPHzr25CvRON4Tuz0q+4yu+93OyeWcbD7aDxKznK9IY1F6/5aBvsUqQK2DOBaBt+dCB6aB072KgK7hZXXnrb1XavZtAsGLRBPWqfNEX2NsKdO918Q5ks4af7hPu4Xf96/uwcrC/+O3V7yBccBaktKCAZbq85O0D+F0LTs788Z7jslbf35eubZ64AHS8dnzHAHrW4fO494+KubjuWYKgwP2lIN5W31wipgsD1TFgDtKyewfOr3zf+zgg3aKWQOes37g1x2zfAW5APfAtd/kE6bfK865VfyrPtdk+9XttT3v5qYqv+BZNm3A5um+V02A3qOsbByg/YNP+5KceyH0+FerqWCQyITjV9gTn0/b8AYhNUb7nS1xYGGQRk28qeN595WqnGOdIUJxMyWlswgAAH1JJREFU5xCLVLrva6nhr/fPQoz9Lk5l+cx5br/nCZJ7DosW5EJ3rwpluXLlUR+AHEBvMc6sO23cWbi/7efe/0sHoD/8v9FOOWNwYuDEwImBEwMnBk4MnBg4MXDvdTgGD70Dp5wxODFwYuDEwImBEwMnBk4MnBj4fjHw4ue/+Pd+7+Vvvuvxj//xp+UBlgcdGFNShoNtgbZAYoASGANTg4hyErMxp+YFGQHKCgtuSnIAvTqgNuhtHwxXFwjvmP1U5p/6X/+PBc8D4ZWguLzmIHkFbO/cVK07T+EM6tc3sG4BuafuFJaADItgysuZN3yqzp1rPzA1QdvMLywfetuUrkH0y0L5V+/yEbsvq/dlhT5slBfY+9W7/NlLab6txkHKgHbnlpoaVNqgXa5nkL3zE1JS4hcX/W6eq9v1tdd+AL17UAhTn69Y2hbnbUFrTgfLyWDbqstFXptcBha0f/5r67h86Gzc205o3vxSo1Ogy6ve/HbPqUivn/Koi28AHfgX28B7dXsWKnUq6eKl9qm+m5NgOSgZNG2MKs1D0DwL94D0b/zOiwvOBTWD653XVrDZXAX2Zt7zCSQBTipyMJC9eu/3coB48dvXO909gujU7QBzdXpOjhXBu+r0zQj6//fv+JUFbmu/6xpHY1uxwKACoFPzAthUzFONbGEO9T0L9wVtB1ivPe8je/fqUREX081Rc1/dCWLljpd3fY3vfm85LnBroFz2zk77b3nCuUk0xxbHLFv37Tgw4S9lune8a+RSD3JTiAPbFcr1Nw1oXgHB2+/62+MgOrgeOH3Lo68C+XnOfdm9z8UBnq025YCvcMrgllGcVKQZeGBBx1amvxY0r3AWAJJ9j6ajxoTrt2p0fZr50YFt7wcl+YTSV577Pc+uZds/VfEWxHim7ktlPpXz3EbMeZDbggS/ffcpzBXXGMur/aFGr0yIDppPC/cAevtAOoV6MfBP3vWB77zlp//HzxyAfv5+PP+GODFwYuDEwImBEwMnBk4MnBg4MXDvAPQTBOdDcGLgxMCJgRMDJwZODJwYeCMD9N/+o6/9ownQqUMBdNsAG/tjIDGYFJSqfsfkg165iMt/vgEkxW7QMoBGCQ6cs+qWi5zyHNieecwD49O+HRQHxN/3+b+8oLg2uqb9LNuB+oA6tbp6l3377hd1MmgO/rbfcwVWGrfAMPv0ZQm8wQ5gRqE6YTl15lSaT7V5EO1WyVoJvHUO0NEGSDRt3R3zG1wH7pf9+rNfvkA3uL7UmDuXetd0vPs+kDt4A0rPX47xoHXtsYbveNbtKzZ2/uxiojhiad44rwUInbt/B78b74ArW3YAPODZ/Kz9benffvc1T+zbqcOnbTslev2xWAP0pkBvWx+p0msHBGfVTl0uLcFSlD/zyqrPRh3orU2OC7XT+9T7EvwKSDeeoGnjHEBvv/eNhXtANxgWNAt4BdG7H0gYmANjwW6wDiwUb3I9r/f46ZcegOW9f1TmPSPQXZ2lzt+q955h1bv/yoqV2vfNyEUiINeCgJ6xcQK1tc2WXdvANmDdb+rwW4juG9W1thOUV5ZTwGvEqW/cgqNPvbzmY6rUPV/PJXd6z73ywg/FcvB9pUT48B+uvk6VtT5bvELZzMWhc5wGekcAafBU3XV+A2mW7hwoqMYBdgpyQF3echbsILtrb8E7+3ZQHmwPqGsXeO8bVDvVp3K2sMM3DEz37NPO3MIhcXkLy8FncNqYNj6dmyB75lC3MGTCau0tO/S90AjQn9/pC65vlTpgvlJV7PqAugUSnDhYzOvHAtQ7hhqjlW7BIoEnP3UtmDGWAPpcRHFr5c7enQq970ALapzrnrPeVJdXFlzfKvOpOqdGdy6A/g9/8p//PwH08p//5D/92b9fqpeH/XfKKWcMTgycGDgxcGLgxMCJgRMDJwZODLz1dTUGD70Dp5wxODFwYuDEwImBEwMnBk4MnBj4fjFQftNbgL7slD/3Z6sExCqpYEEzsPMBO+uRgxhAXza5H/vqZZUdXGzLrh04B6yDnMG2YPfMaw6cU41TlHcdZXnQnBU7pfm8vjbZuE+grp2OP/eVv1ptlBN95sGWy71tz82SWr7wCeoeUCtuAE1ZHmAC0eQRZ/dMxQquBFADaHKOA/FgOrjueNctCDRUsoA5i/e1v/Ob36rLA91Akj5eAHDbuAcMWVc7TuXeNlCebXr7s6x8w+WJ30rh9kFmlubiZy1K2HnUG/+gLnDeVswEtQHu4qm89M1ZMVTMAejLBj7b/X29BRG1L886e3bKc4s/5GAvTqQioJanNl/PleX8fj7OC9Wr78HhtpTSAerabYxTdvdeUYZfzgBP3Cn1g+sU6MG46qVErzT/8jiLI4s0ui64Ni2vKXTBvgBfzys/uAUBC5RvpwnKcXnK2bYH88Hztv2uj9235/u3X/nLdf8f+LG3rz4D2u41reb7TZHOZp0tPXcDgBtg79xaLLHTDFCdg+QWawCsrl0pI7YKfamOd4xZTCA+JyiX6x2kp4Jn6d72spb/Hnm65bWfiuW52IYS3bs+nSZqfy2aefTJC56zdlfHohvHwG37M785cDthO4V5vynQK4HaqUrX7rR5D8zWP3nTK/prwQ9L8pnj20KCpdjetv1idMYAS3ZjXPHNm/bs9s0dCE/ZbkFQ78wFz/d37ALie0GR/OZyot+CfYsifJfB9VtreukZqjtBvkUGxuc297nFFJWgdnWN3wTl7U87+Klan+B8QfK98Oa1LNw/8PTvrd+vBdBbYHcA+vk78vxb4sTAiYETAycGTgycGDgxcGLgxMC9A9BPEJwPwYmBEwMnBk4MnBg4MXBi4I0I0OVBnzAtUBYwvwXpS5m5bdpZsvc7UDrVpbWx8lk//5UrD3SgUz5pavTg9cxzHrAMwslnHtAGzynRF2DfanM26/0OogfEgfBbBbtjVO4g+syfXv8C6FTQQbYgLMDbNri5gPFWnYNp00ZdnnIq9H4H0IFy+ZLBG1DI+QoY1L2oIef1tdlv0H1CeHUdA3uCdROqT/X6zF0sPzqra1B7qdefurOt77dcwsapMZlKbXnfQc0F6Z944bLvDmAWL4B1sVEbzgPVFNwWX4id4qrfLN7XgocN0jsuF7pYrX227dq231Zsc06o/gLgn7izGZdrfV4DwlJOd339Ec89n3zqbP+Lk+oHthp/iuievTEPpveuBdCzROcKAYAVS80LQNicdwwUBCLZuYPTICOQLAe5HOcU58H9+kxJ69lYmzu+YPbHPv/dr/4vf3Kdq79Buf/yv37rmn8W/xYXAPLLgn6Da6ke5HMH18Hqxg4sb993pt8LRGevv6H4BcNzH9jtidk15tuavfnTp6Ua3xB+Kta9ExdUH5bhFs3I2c7ZwcKRafXdu+od8757z5crxFgc4zfg3nZapXtfLZjoHOt3gNx+W6Ac5K7utHEHz980LNsDto5XP7DqN4BeCdgCwdTd7qNu11emdblnoMqmrpZTvvhtQQbQLjbkXL/emWHX3rm5cIFy/UqZMWzYzZ/vnQVBUgjUnkVO3pnivffCfdXn/KDPbafNen0F9dn1y2EOjLvGt7xxo0ZvnCnUgfbbBQlTfQ6a207bdjbu1Odte1cr7VswcRToD/9vs1POGJwYODFwYuDEwImBEwMnBk4M3Hsdj8FD78ApZwxODJwYODFwYuDEwImBEwMnBr5fDKQuA9D/xe/+yXfYI0+Azsa9stSbAzICkFTCHV/gfKhys0Bmxx3UlIeamhzoBrMD4IFwFu1tO5ayFfSe17Jvl/ccLJ91QPNbS3j9Cb7Lox18pXAOwi3V+bOvqmApFUEZYAj4ChD7DVKz6Aa9AHb2zdSnrJurAxZ1L4DmsmTfgO0WvAFqC6b85qsqdH2t7aV43XAccJ9W71NhrshPLm968wqsV38p2HeOcIreNXZBqmdeWbFSffbpnQ9kt1+sAdRBW9buFlqA4jMFAAcD1voWYJi7tuzfi83uX9G37lW8chYAccFXyueZo1v/2LmLf24D/e5c9cQ4WFwbQHXvVzBNLFWoqI19Y0aB3vsXuAuCscsOsL/lQ19ccx/wY/W95mQDwu5RGws8DsgobzpgvtIv7HFprKZCfFmtBwK3wlpcUfeyli9fe/3sfn0nAnI//OafWbFm8cCKg/t3Y9lz1jblOTv2ftdGz2seAH9jRBHesYrUAMWShR7qT7t3CnQLPtwTiGcDX1nP9/E7a/bify0U2mp/cc99Yi0A2YtDAH1W4P1uzG7h+XR/qJ3qeodn6gffEeDc+w60et8p3MHpqUZvYQXVOggOsE/1eXXKW99+IDXYSn1+m3edpTxle33q+ATAs6/gun0A/NaFgzqd/bq440IwFeezrrEFu6cynCW7xQ8zj/lczHAt9tkLJbzXVw733375zgp9tMeintsDoN07Uxz3u7HW76kunznQXTet9C2MsIjBd91/b7puHnut/Oe3ML05Lde5Ou13bgL07vcT7/7gt08O9PP34/k3xImBEwMnBk4MnBg4MXBi4MTAiYF7B6CfIDgfghMDJwZODJwYODFwYuDEwBsZoGfTGkD/uX/5mf89wBQQmqrzaeMObLGpDkIFxwHOIDT7bPCTHXtAM3C9ckzf//qlCL9yoQ9V+WWtvkF4AD04HggHvtlrL7XxrleZx2tj5k7v+s4D7RTNs+9An0UAFODLjnwrPycMA8gALvBGAZJYHIPq1Oczxzl1ePvLxv3RJy+Fo7pTWT7hvVzloA5gXttgLQX6A9bw20p6PhsgBMCvfM8WDGyVPcU0Nf6yc3/2DngCnx0rTqhyA+hU51wKKLQbe1bqyzo7tXextuei83KVg+gU4c1v7a4c6s+8ctm1U553HDAHVoO1QDiALu93/RffrN0pqe1Tny8F8zOvXDCeurpzYHSLSALW5QdPyer9ahvE7Zmoxhfce+rlBaQD6C0coSQvDn7wLb94Z/f+3k9eucSN9YrBDQKpZqvTtdNmumvqD8UsqGw+qM47DyiDdAvGPf3SOle91d7Tn13He86eKZv5AHqxSHVebKwFDlvp37Y+UHs3ZrV5C9Cn9fu0d6f8XjnNLeLY6nCLNED24mYC+caK0r4+TIv4Cem1x4KeGr37gbqN7VogMJTq7tO5FPoWwXCUsDCFS4P3ai122fsAO5cJ7/VUn/fbogpW322D20B5uejlT6dOZ7EeIJ+wfarSWbhTpLet/pseec8F2mdu9Kl8Z11eXymuLfihRhdPxQ6wPPOmN14Wmphv+eZ9ny7QvbfTyeNSng+Ifi1U2d9NwN1CluVWMBxBpMUA3cFqcw2CA/qXmn4vVGlroQP7dXbry7Fkv5NguXzoc59FvnGdx6eKfeY/Z5sPnk9b9wnR21Khp1Dv94L37/rAdx75hQ99NBv3XGoe9t8pp5wxODFwYuDEwImBEwMnBk4MnBg4MfDW19UYPPQOnHLG4MTAiYETAycGTgycGDgxcGLgbxMD/Q/y33v5m+964ne/8q0L+G3AF/CzDaB3fMGm18ghHTAENQOW/+wT31wAuwJyB677Haxe8HpD74B7EBH87lj12LNfxwc4v1Wpu4a6vPt33/ZrP4jWufobSAfTlwU4S+5PfuOCrh3vGbMAB7QCXtMGvRI8mYALDAdgqM0pRSlEb1XiFKjalQedBfRUqYPfQRrQbaoop9U7xee0jJ5wDsCjSl+220P9yVI8QEmZTfVL8WtbHXni+32p0rc62PXBzIBpx4ubIKa6nW/cm5vmDLRuLtuybWfj3nGLNirZ71Mkd5wrwsqb/Zk7gEtJXj8ok2uXKppiGRCf+dFdS0G/FPLbtr46tVVsTdv2njW4XFudC2hldR4k7ziQXaGO7V379//xPy+IDhYHxoLT/9XP3eUW790M0C7L/A1XmwMxVR0w3IKLpe7d8wBK1i8QuGPSNYDWVOrU6JdKe8eJ+Khe1wb8A+gLZD718qXub05n3nhj3NxToIPaUzEu97m+XFD+6Zeuvk9AuhZj3DgOzFzq5l2bFOv1o/FR37WvBce5K1hY4X3g0mEe2edzFqjOpUJ/4oXLWnzmQPfuvhaA9l2hai+WOFmwevet6RtSmWkfbuHsVDtPm3Y27pXAagA9cP6mR96z6lK1g+6d75hrfXuoq2ffAPOZv9v30/4E42B6Y+taOcUt7JnfxsbWOW4hM/e5fnTv5se7V9xaUOIbynnAgoipZOcc4L3i8uBZOsbS3mIBxzw/Jbk5BNA7FuzuvMVXxnYq0l2/FqtsUA6o3+ZCB9CbL3bubdm4y4PefaaN+/lb8vwteWLgxMCJgRMDJwZODJwYODFwYuDEwL0D0E8QnA/BiYETAycGTgycGDgxcGLgjQjQf/uPvvaPHv/4H396AbcbBTp4DqBTk7Kslt88KFbdgDVFdxA7qFle8bbTalue6svSfSvVA+OXqnwDc3nPHacq73yQvTYevf+tS3E+rd61030r9Xfldn/x2xfkBE4tAqA6DXhRWAMnywJ926iDRJcd8wbfch6DVo7JVQ4QsfWd8IdqfOYxZv8OpmvHPYMyE75VB7Dye9rHX5bSQ/m6APouy5b441++gDrVLkVvUJGaduXi3tCb1fuyS0+NvqH4pQRnrb0V5fKdNxdXaoD7d4sxAs3NlVzpjosbOest2Fgq870Aovbdozap0JvvpVoelvH65NylLN5bUPxSnA81+1S7uyfL9vo+FwtUOq5d1uwLAm8lN0vzBWU/9vkF0HvvVn7xp+9UzL2TxUj9pmIHcuube4qF7ktZ272ue3z0buzZta86W1nd2APvS7371MvXNZ1f6t8dO7Vb/6pf+/Wn3z/+048v+/AFeXfMcAAAzdmhy2EO6reVI33ao7PEV6fjbNgp2bljgP6dkxMdkPftYt3es4sF96J8n1bzU9FORd6cdi+AvQUcUhUYo665UiF85MVr0Yo0B3KlX8dvQC/Ld6prdfp2UD+3P63ClQnQV2qInYd7qpg7PgG6nNsgOoAOqLNsZzHesWnrfms7PtXl4L7vp/7cKu59b2eaA5Da4qPLEYDKfG+1JU5974B13+DiObjctnexLWDuG0/FTml+e68Jy6naHQ+Qz3GeOcyBcgsajPNcxOA8pX/nKcjNYaVjtuzbJ0CX73wq0OVG71jqczbunQuiP/q+Z7+cjXsAPaeah/13yilnDE4MnBg4MXBi4MTAiYETAycGTgy89XUzBg+9A6ecMTgxcGLgxMCJgRMDJwZODJwY+P8D0OVHDmoGxAH0YF2QIRAGiAGDclZXdym6P/mNC6AHz4H0qSAPfC7r7c//5arjd6XfYDhF+QVOtyKdcr161X/Hv75TvQfUnQfqqydfdjCrvsptzT4afFtq3qDWzu8NfAHK8uQGvAIjwUyAPGDYPjgEtk+AvtTbH35VtU4Vrszf1acipTp3HoAHkRbQ2/etH+pQtlK0s/m+APoGchSxQW1qTeCusQDHO8b2vPodb1wpvcFD1u0WW3Rtav5Zj/U5NTf7/OasOZIrvXkPVF92/3/w5xewliu9+QXgZ9509wK6i29q8qVSfvZVxTnVMnttTgueiZJe3nX3qz/U8vWHRT2bevbtvUPB38YFWJRDeUL7xr73L4CeUn1dtwF6wMtCh6Vs/9yf3cG/bSsP3LPjZ38+QbQ80hTmtQGAG5fLnh7w3c4CQHe/ayP1fH3sG9HxYHP9DaAX83K7g9iXi8G2+1+xuJXflO2+QYCm97Q22L4D5sZ6KsblN7dAYKnCn37pguqum7nVG7fmdC4S0Q64bmxmTveuq08tGmC/b1EGEA8E6zdwXkyu1BD7vbOAwbiDtxTRYL+5W5bd+3viXQdvgefcASoW33TtSkkxlMzTQtzvCdArb3rkPReoDZQH1IHd9lOig98zj7fFPD2H/emMAYhT2Fv4c2vN3riA056TC4I5NX4z1/mch0s9/uG7WGOz3rZ40PaVpmJ/H2cKjamWv81n3vM0vitX+laXTzV5cBrc/l5qfwpwcHzmodcGkK6e+zQPnaNmZ+l+mwt9AnWFCr1r68PJg37+fjz/hjgxcGLgxMCJgRMDJwZODJwYODFw7wD0EwTnQ3Bi4MTAiYETAycGTgycGHijA/Qvf+kLPyIP+r/43T/5TkAoODfzny91+c5NDEBWBzhkgd0+VTmAvhTon7mD6+A2OE4lHgBNOR4A7zoAvPrLentD8Anaq1vb8qdTuXcNiA+iswAPrlJJs99eYOwTX18Qa1mibwh25SXeCsMFVwfkmXbrIDmADhhN+/SpQGflDpZPSH7lJH7suQfyls88v/pDXQkodX7avwNC074dHNIPltKBJueAz7mIQJl27BS/APittTuYzg6/OWGZP+E1NwC27kpqaNAcqGbVDlg7B+SvXOgf++oDOdClGbDgo0L1TkEv573FE+LAohHPVBuB1dnfZXn/zCsXeFVcXy5zAD0Y/vtf+pM7kNkigwGm6wclOwt3lurT2vvN73thzTuXiMBqfQq8t63/1NkU1OzEbYHDrl+QfT+LtAwTTAO111jtPOgde+7TX1zfiAX+P/dnS13/D9768+s9mfbnXXcp7Hcu+eBx95EyQH769Sw7RzxIzm5ef/rdt0rsiEv27G1BdTbwFYC8ay2q4UgAmleMlTG4bOW3s0Jj1PG14Gi7c6yFHx/9wpVz/Rbedp2FKeY8wD1zoVPqG+/64R1kO19h+U8xbTHGXGjT+Fpcc5t3e6rCZ05tUHdauzsWzKU27xh4XqktVuPa10Z9kie9a9dCngGkp3X7TIkhfm6/n42NhSATkhtT4zIXpYDqFjUYC+0Y/8bZu8l+/4L6+7tpkQFVuX6B6b3jILfxAL6D141lvwPkxrh9heK8ffnnuxZE1y61/5yn9uVMn3nQA+QL7m+l+YToAPo7fvnX/xpAP3nQH/7fZ6ecMTgxcGLgxMCJgRMDJwZODJwYuPc6HIOH3oFTzhicGDgxcGLgxMCJgRMDJwZODPxdALo86AH0QHmFlTsFOtX2VNtSoYPUAW4q8yv/+bZQZ9Me7AbBAe/aCKgvxfHn/+KC65Sh2qJI7prnvvJXD9izs2ifubNnmdbegU25lEEWsHjmEqfeBF0AbnAa/HaMchycXjlyP/yH1/6ERQD5zFk+8xxf+dafeOGB+3WepTGoE+ShNKZ8nwBtgnRqc225vnEA99qyxgbvWmCgzHzmxQGATrXdua5ZQHuPdfA8iN4cgNMWXUy79gnG2ep3PijetnM5DnS9uQaeQfP2W4jR/bgZiE1pB/Rt2r5PK3AKeWrluXiga+U4txjDYoHqdn5C3yB1ED3onD17oLNxnsrmVT5xZxHfMwbPvXspnJdidqtwi8XaBualXpCegMq69xhwBRop3jsG/k6lfePDZYCNuZgwt3KFr7zpT392PZf86fX1kXe/769X7ufffDWO5Dzv3i2MoERfSvFtGd+YA/7yoc/858uCf7chh7sY0GcQvD4FBdtvW32QnG177VOVg+3Gy7ws2LpzuXsGrgbgvPehPk/Iv3Jn730LFNr2DhnL3sVLRb0XnUxFvfeadbvFD+Dx9R3YinUOEs2ZeJnK786D6ODvVKIDsPM3CGxxD1AewJVbfS36efTJB64Fwingu2Z+K2/V5vqz8pz3PdpQXXoLdae9ujGRd96CIu4alVuFOrcD1uzL3eFGpd6+9Acs340Z+E4NLx86+3tgegL0aZNPlR4YZ5u+wPU//42l9u+4Y6B6+9NmHWCX05yNu0UQ/V4W7U/fOVewa6dAB/NB9t6R9mv3n7zrA9/Jxv3kQT9/R55/S5wYODFwYuDEwImBEwMnBk4MnBi4dwD6CYLzITgxcGLgxMCJgRMDJwZODLzRAXoq9H/9xW+9FEhPVVp58Y8+d0G6IDdl6gR9APgE4pXAZSWb9u+Vm7zftRH0c88K63btVX+e73hKV79/43deXNvgXfvfr/zW8//mUt0pwYVKUCElXiVoA0C3HzgBkcAdUIfi/ILov/rZS/VNOQzuLFX6Ey9cEH1C8qVGHXmRO7eU7RtuA0YLkj3xwqV+ZNGtvxYDyCFMYQ2Cd44K+8r1vu3aK8FFikzqa3UsPmCrDSqydU/1TYlO9T8BezBc7vHOFwsrD/m22mfbPl0EWLNbNNF+sVG9QDllewr1Sud/6tk/XS4FAHp1itXiqeuqB55TRVMY139jRJE/c7sDqsAzCE1BXIxVistiv/vOuAtssapv2zNeNvTPf2UB9ErvYG1oz/Xa7v202EVedLm5g7mvFeuul5cdyKfg7drXuq7npLa+YO9Hv7CeJXhswU3v0A+97f1X3vIF2/fcg9PGVa7ymbdcH/ouAOUdl2O+3xTyfQcqvgHG6veff/av/+VHPnKVpcDdCveegcU7RTwLf/euXscpmCdAXwtCdgxMBXTjUJt+G1fvH6W8d8g76d7T6WAB349ua/fyz3/0C5ciG9QH7ymqZw7xrusZWKRTgq983Ft1XV0LBvqGzNzlFvOAwBYBAeUU5yzJp2W7+tTk+gWOT2t3ddZio2GVXv99Z31Lp2r+yoe+bdiBbOMAnoPlXDsA9ZnTvPFjje97OmE9gN74WKx09ePJT61j0wafmp9qv/EC0OWTB8BB8gnL/QbUpwpdPbnp7bN5Z+neVl506nN50CnZQfQJ0H/pV/6n7/7s+5/9vw9Af/h/n51yxuDEwImBEwMnBk4MnBg4MXBi4N7rcAz+Xya0tfvoJ12bAAAAAElFTkSuQmCC\"}))));}var ForwardRef=/*#__PURE__*/React.forwardRef(SvgNotFoundPage);export default __webpack_public_path__+\"static/media/not-found-page.d8ed56e8e12d93975c115326d4f413f5.svg\";export{ForwardRef as ReactComponent};","import React from \"react\";\n// import logoLogin from \"../assets/img/logo-geekfarms.svg\";\n// import { useGetCompanyLogo } from \"../react-query/general\";\n\nconst Loading = (props) => {\n const { companyLogo } = props;\n \n return (\n \n
\n {/* */}\n \n

\n Loading...\n

\n
\n \n );\n};\n\nexport default Loading;\n","import React from 'react';\nimport './index.css';\n\nconst Loading = ({ text = true, size = 'medium' }) => {\n return (\n
\n \n Loading...\n
\n {text ?

Loading.....

: null}\n \n );\n};\n\nexport default Loading;\n","/* eslint-disable */\nimport React, { useState, useEffect, useRef } from 'react';\nimport { useNavigate, useLocation } from 'react-router-dom';\nimport { createBrowserHistory } from 'history';\n// import logoLogin from '../assets/img/logo-geekfarms.svg'; // Currently, the logo is dynamic without using the geeksfarm logo for the default logo\nimport profile from '../assets/img/profile_no_image.jpg';\nimport '../assets/css/main.css';\nimport '../assets/css/custom-by-dev.css';\nimport '../assets/css/mobile.css';\nimport scrollToTop from '../utils/scrollToTop';\nimport { useSelector, useDispatch } from 'react-redux';\nimport { getUser } from '../store/redux/actions/profile/user';\nimport { getAllCourse } from '../store/redux/actions/learning/course';\nimport { getAllCategory } from '../store/redux/actions/learning/category';\nimport { searchCourse } from '../store/redux/actions/learning/course';\nimport { useGetCompany, useGetProductSettings } from '../react-query/general';\nimport NavigationMenu from './moleculs/NavigationMenu';\nimport Loading from './Loading';\n\nconst Header = () => {\n const imgRef = useRef(null);\n const navigate = useNavigate();\n const dispatch = useDispatch();\n const dataUser = useSelector((state) => state.user.user.data);\n const statusGetUser = useSelector((state) => state.user.status);\n const [user, setUser] = useState();\n const [auth, setAuth] = useState();\n const history = createBrowserHistory();\n const [search, setSearch] = useState('');\n const authToken = localStorage.getItem('token');\n const getCategory = useSelector((state) => state.category.category);\n const [categories, setCategories] = useState([]);\n const [isImageLoaded, setImageLoaded] = useState(null);\n\n const courseStatus = useSelector((state) => state.course.status);\n\n const { dataCompany, loadingDataCompany, errorDataCompany } = useGetCompany();\n const { productSettings, loadingProductSettings, errorProductSettings } = useGetProductSettings();\n \n const dummyPluralProductName = '';\n const pluralProductName = productSettings ? productSettings?.plural_name : dummyPluralProductName;\n\n const handleHome = () => {\n navigate('/');\n history.go(0);\n };\n\n const handleToLogin = () => {\n navigate('/login');\n };\n\n const handleToRegister = () => {\n navigate('/register');\n };\n\n const handleCourse = (course) => {\n navigate('/education', {\n state: { course_name: course.category_name, course_id: course.id },\n });\n };\n\n useEffect(() => {\n dispatch(getAllCourse());\n }, []);\n\n useEffect(() => {\n scrollToTop();\n }, []);\n\n useEffect(() => {\n if (authToken) {\n dispatch(getUser());\n }\n }, []);\n\n useEffect(() => {\n if (authToken) {\n setAuth(authToken);\n } else if (!authToken) {\n setAuth(null);\n }\n }, [authToken]);\n\n useEffect(() => {\n const observer = handleLoadLogo();\n\n if (imgRef.current) {\n observer.observe(imgRef.current);\n }\n\n return () => {\n 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Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\nimport * as React from \"react\";\n\nfunction SvgEdit(_ref, svgRef) {\n var title = _ref.title,\n titleId = _ref.titleId,\n props = _objectWithoutProperties(_ref, _excluded);\n\n return /*#__PURE__*/React.createElement(\"svg\", _extends({\n width: 34,\n height: 34,\n viewBox: \"0 0 34 34\",\n fill: \"none\",\n xmlns: \"http://www.w3.org/2000/svg\",\n ref: svgRef,\n \"aria-labelledby\": titleId\n }, props), title ? /*#__PURE__*/React.createElement(\"title\", {\n id: titleId\n }, title) : null, /*#__PURE__*/React.createElement(\"g\", {\n style: {\n mixBlendMode: \"multiply\"\n }\n }, _path || (_path = /*#__PURE__*/React.createElement(\"path\", {\n d: \"M6 21.5C6 17.3579 9.35786 14 13.5 14C17.6421 14 21 17.3579 21 21.5V23.764C21 24.4466 20.4466 25 19.764 25H7.23596C6.55336 25 6 24.4466 6 23.764V21.5Z\",\n fill: \"current\"\n }))), /*#__PURE__*/React.createElement(\"g\", {\n style: {\n mixBlendMode: \"multiply\"\n }\n }, _circle || (_circle = /*#__PURE__*/React.createElement(\"circle\", {\n cx: 13.5,\n cy: 10.5,\n r: 4.5,\n fill: \"#FFB81E\"\n }))), /*#__PURE__*/React.createElement(\"g\", {\n style: {\n mixBlendMode: \"multiply\"\n }\n }, _path2 || (_path2 = /*#__PURE__*/React.createElement(\"path\", {\n d: \"M23.3461 16.8126C23.924 15.8115 25.2041 15.4685 26.2052 16.0465C27.2062 16.6245 27.5492 17.9045 26.9712 18.9056L22.7853 26.1559L19.6646 27.3751L19.1601 24.0629L23.3461 16.8126Z\",\n fill: \"#03C6AE\"\n }))), _circle2 || (_circle2 = /*#__PURE__*/React.createElement(\"circle\", {\n cx: 13.5,\n cy: 17.5,\n r: 0.5,\n fill: \"white\"\n })), _circle3 || (_circle3 = /*#__PURE__*/React.createElement(\"circle\", {\n cx: 13.5,\n cy: 21.5,\n r: 0.5,\n fill: \"white\"\n })));\n}\n\nvar ForwardRef = /*#__PURE__*/React.forwardRef(SvgEdit);\nexport default __webpack_public_path__ + \"static/media/edit.0b5031efb847cb30c6c09d435360b80a.svg\";\nexport { ForwardRef as ReactComponent };","var _path, _path2, _path3;\n\nvar _excluded = [\"title\", \"titleId\"];\n\nfunction _extends() { _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\nimport * as React from \"react\";\n\nfunction SvgPass(_ref, svgRef) {\n var title = _ref.title,\n titleId = _ref.titleId,\n props = _objectWithoutProperties(_ref, _excluded);\n\n return /*#__PURE__*/React.createElement(\"svg\", _extends({\n width: 34,\n height: 34,\n viewBox: \"0 0 34 34\",\n fill: \"none\",\n xmlns: \"http://www.w3.org/2000/svg\",\n ref: svgRef,\n \"aria-labelledby\": titleId\n }, props), title ? /*#__PURE__*/React.createElement(\"title\", {\n id: titleId\n }, title) : null, _path || (_path = /*#__PURE__*/React.createElement(\"path\", {\n d: \"M26.7226 18.1799C26.7226 16.9522 26.7293 15.7246 26.7293 14.4969C26.7293 13.9235 26.4393 13.6267 25.866 13.6267C24.888 13.6267 23.9167 13.62 22.9387 13.62C21.9269 13.62 20.9085 13.62 19.8967 13.62C18.143 13.62 16.3893 13.6267 14.6424 13.6267C14.3726 13.6267 14.1028 13.62 13.833 13.62C12.8213 13.62 11.8028 13.62 10.791 13.62C9.79278 13.62 8.78779 13.6267 7.78953 13.6267C7.34437 13.6267 7.00712 13.9235 7.00712 14.3485C7.00038 15.5896 7.00712 16.8375 7.01386 18.0787C7.01386 18.5644 7.00712 19.05 7.00712 19.5424C7.00712 20.9927 7.01386 22.4497 7.01386 23.8999C7.01386 25.2018 7.02061 26.5037 7.00038 27.8055C6.99363 28.2777 7.07457 28.6689 7.51299 28.9118C13.7386 28.9118 19.9574 28.9118 26.183 28.9118C26.4933 28.7566 26.7361 28.5408 26.7361 28.1563C26.7293 26.733 26.7226 20.0888 26.7226 18.1799Z\",\n fill: \"current\"\n })), /*#__PURE__*/React.createElement(\"g\", {\n style: {\n mixBlendMode: \"multiply\"\n }\n }, _path2 || (_path2 = /*#__PURE__*/React.createElement(\"path\", {\n d: \"M20.3755 18.7199C20.6116 19.5968 20.652 20.4602 20.2946 21.3169C19.9708 22.0859 19.4582 22.6795 18.7365 23.0977C18.5611 23.1989 18.4599 23.2865 18.5274 23.5091C18.9928 25.0066 19.5189 26.4839 20.0382 27.9678C20.1866 28.4333 20.335 28.8987 20.4834 29.3641C20.7465 30.2141 20.2001 30.983 19.303 30.9898C17.6843 31.0033 16.0655 31.0033 14.4467 30.9898C13.5563 30.983 13.0033 30.2141 13.2663 29.3641C13.408 28.8987 13.5631 28.4333 13.7115 27.9678C14.2174 26.4771 14.7165 24.9931 15.2223 23.5091C15.2965 23.2798 15.1819 23.1989 15.0133 23.0977C14.1499 22.612 13.5766 21.87 13.3135 20.9459C13.0842 20.1634 13.1314 19.3338 13.4417 18.5513C13.8194 17.7756 14.3523 17.1415 15.1144 16.7031C16.9153 15.671 19.3233 16.4602 20.2271 18.3894C20.2743 18.5041 20.3215 18.612 20.3755 18.7199Z\",\n fill: \"#FFB81E\"\n }))), /*#__PURE__*/React.createElement(\"g\", {\n style: {\n mixBlendMode: \"multiply\"\n }\n }, _path3 || (_path3 = /*#__PURE__*/React.createElement(\"path\", {\n d: \"M12.3289 15.6442C12.3154 15.6442 12.3086 15.6442 12.2951 15.6442C11.4655 15.6442 10.791 14.9697 10.791 14.14C10.791 12.4267 10.791 10.1602 10.7978 9.02025C10.8045 7.61046 11.2699 6.35582 12.1602 5.26307C13.1517 4.04216 14.4333 3.30691 15.9779 3.07082C17.455 2.84823 18.8512 3.15177 20.1193 3.96121C21.5492 4.87859 22.4395 6.18044 22.8038 7.82631C22.8982 8.26476 22.9252 8.72345 22.9319 9.17539C22.9454 10.2681 22.9454 12.4739 22.9387 14.1467C22.9387 14.9764 22.2642 15.6509 21.4345 15.6509C21.4211 15.6509 21.4143 15.6509 21.4008 15.6509C20.5712 15.6509 19.8967 14.9764 19.8967 14.1467C19.8967 12.7639 19.9034 11.0034 19.8967 10.2142C19.8899 9.67455 19.9304 9.14166 19.8562 8.60203C19.6606 7.26645 18.4937 6.11299 16.9896 6.05228C16.2274 6.0253 15.5395 6.24115 14.9594 6.73356C14.2714 7.32716 13.8262 8.05566 13.833 9.00001C13.8397 10.1467 13.8397 12.4267 13.8397 14.1467C13.833 14.9697 13.1585 15.6442 12.3289 15.6442Z\",\n fill: \"#03C6AE\"\n }))));\n}\n\nvar ForwardRef = /*#__PURE__*/React.forwardRef(SvgPass);\nexport default __webpack_public_path__ + \"static/media/pass.4858d5b1baf17515e46bf92d05760fa0.svg\";\nexport { ForwardRef as ReactComponent };","import { useLocation, useNavigate } from 'react-router';\nimport { createBrowserHistory } from 'history';\nimport { useDispatch, useSelector } from 'react-redux';\nimport { useEffect, useState } from 'react';\nimport Swal from 'sweetalert2';\n\nimport {ReactComponent as Activity} from '../../../assets/img/icon/activity.svg';\nimport {ReactComponent as Transaction} from '../../../assets/img/icon/transaction.svg';\nimport {ReactComponent as VoucherIcon} from '../../../assets/img/icon/my-voucher.svg';\n// import cv from '../../../assets/img/icon/cv.svg';\nimport {ReactComponent as Edit} from '../../../assets/img/icon/edit.svg';\nimport {ReactComponent as Pass} from '../../../assets/img/icon/pass.svg';\nimport { logout, resetStatus } from '../../../store/redux/actions/auth/login';\n// import { useGetProductSettings } from '../../../react-query/general';\n\nconst NavigationMenu = ({productName}) => {\n const navigate = useNavigate();\n const history = createBrowserHistory();\n const location = useLocation();\n const dispatch = useDispatch();\n // const { productSettings, loadingProductSettings, errorProductSettings } = useGetProductSettings();\n const logoutStatus = useSelector((state) => state.login.status);\n const role = localStorage.getItem('role')\n const token = localStorage.getItem('token');\n const primaryColor = getComputedStyle(document.documentElement).getPropertyValue('--primary-color');\n\n // const dummyProductName = 'Course';\n // const dummyPluralProductName = 'Courses';\n // const productName = productSettings ? productSettings?.singular_name : dummyProductName;\n // const pluralProductName = productSettings ? productSettings?.plural_name : dummyPluralProductName;\n\n\n useEffect(() => {\n if (logoutStatus === 'logged out') {\n Swal.fire({\n icon: 'success',\n title: 'Success',\n text: 'You are logged out!',\n }).then((res) => {\n if (res.isConfirmed) {\n dispatch(resetStatus());\n } else if (res.isDismissed) {\n dispatch(resetStatus());\n }\n });\n localStorage.clear();\n } else if (logoutStatus === 'success logout') {\n navigate('/');\n history.go(0);\n }\n }, [dispatch, history, logoutStatus, navigate]);\n\n const menuList = [\n {\n title: `My ${productName}`,\n icon: ,\n link: ['/profile/mycourse', '/profile/detailcourse', '/payment'],\n action: (e) => {\n e.preventDefault();\n navigate('/profile/mycourse');\n history.go(0);\n },\n },\n {\n title: 'My Transactions',\n icon: ,\n link: ['/profile/transaction'],\n action: () => navigate('/profile/transaction'),\n },\n {\n title: 'My Vouchers',\n icon: ,\n link: ['/profile/voucher'],\n action: (e) => {\n e.preventDefault();\n navigate('/profile/voucher');\n history.go(0);\n },\n },\n // {\n // title: 'My Curriculum Vitae',\n // icon: cv,\n // link: ['/profile/cv'],\n // action: (e) => {\n // e.preventDefault();\n // navigate('/profile/cv');\n // history.go(0);\n // },\n // },\n {\n title: 'Edit Profile',\n icon: ,\n link: ['/profile/edit'],\n action: (e) => {\n e.preventDefault();\n navigate('/profile/edit');\n history.go(0);\n },\n },\n {\n title: 'Change Password',\n icon: ,\n link: ['/profile/changepassword'],\n action: (e) => {\n e.preventDefault();\n navigate('/profile/changepassword');\n },\n },\n ...(token && role?.toLowerCase() === 'contributor' ? [{\n title: 'Login As Contributor',\n icon: ,\n link: [''],\n action: (e) => {\n e.preventDefault();\n window.location.href = process.env.REACT_APP_BASE_EDU_URL;\n },\n }] : [])\n ];\n\n const handleLogout = () => {\n dispatch(logout());\n };\n\n return (\n
\n {menuList.map((item, index) => {\n return (\n \n

\n \n {/* {Object.keys(item.icon)[0]} */}\n {item.icon}\n \n {item.title}\n

\n \n );\n })}\n \n Logout\n \n
\n );\n};\n\nexport default NavigationMenu;\n","import axios from 'axios';\nimport { authEDURequest } from '../../store/Api';\n\nexport const fetchRepos = async () => {\n const response = await axios.get(\n 'https://api.github.com/repos/tannerlinsley/react-query',\n );\n return response.data;\n};\n\nexport const fetchBanner = async () => {\n const response = await authEDURequest.get('/api/banner/get-banner');\n return response.data.data;\n};\n\nexport const fetchDataCompany = async () => {\n const response = await authEDURequest.get(\"/api/general/get-general\");\n return response.data.data\n}\n\nexport const fetchCompanyLogo = async () => {\n const response = await authEDURequest.get(\"/api/general/get-company-logo\");\n return response.data.data\n}\n\nexport const fetchFeatures = async() => {\n const response = await authEDURequest.get(\"/api/features/get-features\");\n return response.data.data\n}\n\nexport const fetchTestimoni = async () => {\n const response = await authEDURequest.get('/api/testimonies/get-testimonies');\n return response.data.data;\n};\n\nexport const fetchProgrammes = async () => {\n const response = await authEDURequest.get('/api/programmes/get-programmes');\n return response?.data?.data;\n};\n\nexport const fetchAbout = async () => {\n const response = await authEDURequest.get('/api/about/get-about');\n return response.data.data;\n};\n\nexport const fetchHelp = async () => {\n const response = await authEDURequest.get('/api/help-page/get-help-page');\n return response.data.data;\n};\n\nexport const fetchFaq = async (queryParams) => {\n const response = await authEDURequest.get('/api/faq/get-faq', {\n params: queryParams,\n });\n return response.data.data;\n};\n\nexport const fetchTerms = async () => {\n const response = await authEDURequest.get(\n '/api/terms-condition/get-terms-condition',\n );\n return response.data.data;\n};\n\nexport const fetchPrivacy = async () => {\n const response = await authEDURequest.get('/api/privacy/get-privacy');\n return response.data.data;\n};\n\nexport const fetchRefund = async () => {\n const response = await authEDURequest.get('/api/refund-policy/get-refund');\n return response.data.data;\n};\n\nexport const fetchCancellation = async () => {\n const response = await authEDURequest.get(\n '/api/cancellation/get-cancellation',\n );\n return response.data.data;\n};\n\nexport const fetchTheme = async() => {\n const response = await authEDURequest.get(\n '/api/theme-settings/get-theme',\n );\n return response.data.data;\n}\n\nexport const fetchProductSettings = async() => {\n const response = await authEDURequest.get(\n '/api/product-settings/get-product-settings',\n );\n return response.data.data;\n}\n","import objectWithoutPropertiesLoose from \"./objectWithoutPropertiesLoose.js\";\nfunction _objectWithoutProperties(e, t) {\n if (null == e) return {};\n var o,\n r,\n i = objectWithoutPropertiesLoose(e, t);\n if (Object.getOwnPropertySymbols) {\n var n = Object.getOwnPropertySymbols(e);\n for (r = 0; r < n.length; r++) o = n[r], -1 === t.indexOf(o) && {}.propertyIsEnumerable.call(e, o) && (i[o] = e[o]);\n }\n return i;\n}\nexport { _objectWithoutProperties as default };","import type { DefaultedQueryObserverOptions, RefetchPageFilters } from './types'\nimport {\n isServer,\n isValidTimeout,\n noop,\n replaceData,\n shallowEqualObjects,\n timeUntilStale,\n} from './utils'\nimport { notifyManager } from './notifyManager'\nimport type {\n PlaceholderDataFunction,\n QueryKey,\n QueryObserverBaseResult,\n QueryObserverOptions,\n QueryObserverResult,\n QueryOptions,\n RefetchOptions,\n} from './types'\nimport type { Query, QueryState, Action, FetchOptions } from './query'\nimport type { QueryClient } from './queryClient'\nimport { focusManager } from './focusManager'\nimport { Subscribable } from './subscribable'\nimport { canFetch, isCancelledError } from './retryer'\n\ntype QueryObserverListener = (\n result: QueryObserverResult,\n) => void\n\nexport interface NotifyOptions {\n cache?: boolean\n listeners?: boolean\n onError?: boolean\n onSuccess?: boolean\n}\n\nexport interface ObserverFetchOptions extends FetchOptions {\n throwOnError?: boolean\n}\n\nexport class QueryObserver<\n TQueryFnData = unknown,\n TError = unknown,\n TData = TQueryFnData,\n TQueryData = TQueryFnData,\n TQueryKey extends QueryKey = QueryKey,\n> extends Subscribable> {\n options: QueryObserverOptions<\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey\n >\n\n private client: QueryClient\n private currentQuery!: Query\n private currentQueryInitialState!: QueryState\n private currentResult!: QueryObserverResult\n private currentResultState?: QueryState\n private currentResultOptions?: QueryObserverOptions<\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey\n >\n private previousQueryResult?: QueryObserverResult\n private selectError: TError | null\n private selectFn?: (data: TQueryData) => TData\n private selectResult?: TData\n private staleTimeoutId?: ReturnType\n private refetchIntervalId?: ReturnType\n private currentRefetchInterval?: number | false\n private trackedProps!: Set\n\n constructor(\n client: QueryClient,\n options: QueryObserverOptions<\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey\n >,\n ) {\n super()\n\n this.client = client\n this.options = options\n this.trackedProps = new Set()\n this.selectError = null\n this.bindMethods()\n this.setOptions(options)\n }\n\n protected bindMethods(): void {\n this.remove = this.remove.bind(this)\n this.refetch = this.refetch.bind(this)\n }\n\n protected onSubscribe(): void {\n if (this.listeners.size === 1) {\n this.currentQuery.addObserver(this)\n\n if (shouldFetchOnMount(this.currentQuery, this.options)) {\n this.executeFetch()\n }\n\n this.updateTimers()\n }\n }\n\n protected onUnsubscribe(): void {\n if (!this.hasListeners()) {\n this.destroy()\n }\n }\n\n shouldFetchOnReconnect(): boolean {\n return shouldFetchOn(\n this.currentQuery,\n this.options,\n this.options.refetchOnReconnect,\n )\n }\n\n shouldFetchOnWindowFocus(): boolean {\n return shouldFetchOn(\n this.currentQuery,\n this.options,\n this.options.refetchOnWindowFocus,\n )\n }\n\n destroy(): void {\n this.listeners = new Set()\n this.clearStaleTimeout()\n this.clearRefetchInterval()\n this.currentQuery.removeObserver(this)\n }\n\n setOptions(\n options?: QueryObserverOptions<\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey\n >,\n notifyOptions?: NotifyOptions,\n ): void {\n const prevOptions = this.options\n const prevQuery = this.currentQuery\n\n this.options = this.client.defaultQueryOptions(options)\n\n if (\n process.env.NODE_ENV !== 'production' &&\n typeof options?.isDataEqual !== 'undefined'\n ) {\n this.client\n .getLogger()\n .error(\n `The isDataEqual option has been deprecated and will be removed in the next major version. You can achieve the same functionality by passing a function as the structuralSharing option`,\n )\n }\n\n if (!shallowEqualObjects(prevOptions, this.options)) {\n this.client.getQueryCache().notify({\n type: 'observerOptionsUpdated',\n query: this.currentQuery,\n observer: this,\n })\n }\n\n if (\n typeof this.options.enabled !== 'undefined' &&\n typeof this.options.enabled !== 'boolean'\n ) {\n throw new Error('Expected enabled to be a boolean')\n }\n\n // Keep previous query key if the user does not supply one\n if (!this.options.queryKey) {\n this.options.queryKey = prevOptions.queryKey\n }\n\n this.updateQuery()\n\n const mounted = this.hasListeners()\n\n // Fetch if there are subscribers\n if (\n mounted &&\n shouldFetchOptionally(\n this.currentQuery,\n prevQuery,\n this.options,\n prevOptions,\n )\n ) {\n this.executeFetch()\n }\n\n // Update result\n this.updateResult(notifyOptions)\n\n // Update stale interval if needed\n if (\n mounted &&\n (this.currentQuery !== prevQuery ||\n this.options.enabled !== prevOptions.enabled ||\n this.options.staleTime !== prevOptions.staleTime)\n ) {\n this.updateStaleTimeout()\n }\n\n const nextRefetchInterval = this.computeRefetchInterval()\n\n // Update refetch interval if needed\n if (\n mounted &&\n (this.currentQuery !== prevQuery ||\n this.options.enabled !== prevOptions.enabled ||\n nextRefetchInterval !== this.currentRefetchInterval)\n ) {\n this.updateRefetchInterval(nextRefetchInterval)\n }\n }\n\n getOptimisticResult(\n options: DefaultedQueryObserverOptions<\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey\n >,\n ): QueryObserverResult {\n const query = this.client.getQueryCache().build(this.client, options)\n\n return this.createResult(query, options)\n }\n\n getCurrentResult(): QueryObserverResult {\n return this.currentResult\n }\n\n trackResult(\n result: QueryObserverResult,\n ): QueryObserverResult {\n const trackedResult = {} as QueryObserverResult\n\n Object.keys(result).forEach((key) => {\n Object.defineProperty(trackedResult, key, {\n configurable: false,\n enumerable: true,\n get: () => {\n this.trackedProps.add(key as keyof QueryObserverResult)\n return result[key as keyof QueryObserverResult]\n },\n })\n })\n\n return trackedResult\n }\n\n getCurrentQuery(): Query {\n return this.currentQuery\n }\n\n remove(): void {\n this.client.getQueryCache().remove(this.currentQuery)\n }\n\n refetch({\n refetchPage,\n ...options\n }: RefetchOptions & RefetchPageFilters = {}): Promise<\n QueryObserverResult\n > {\n return this.fetch({\n ...options,\n meta: { refetchPage },\n })\n }\n\n fetchOptimistic(\n options: QueryObserverOptions<\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey\n >,\n ): Promise> {\n const defaultedOptions = this.client.defaultQueryOptions(options)\n\n const query = this.client\n .getQueryCache()\n .build(this.client, defaultedOptions)\n query.isFetchingOptimistic = true\n\n return query.fetch().then(() => this.createResult(query, defaultedOptions))\n }\n\n protected fetch(\n fetchOptions: ObserverFetchOptions,\n ): Promise> {\n return this.executeFetch({\n ...fetchOptions,\n cancelRefetch: fetchOptions.cancelRefetch ?? true,\n }).then(() => {\n this.updateResult()\n return this.currentResult\n })\n }\n\n private executeFetch(\n fetchOptions?: ObserverFetchOptions,\n ): Promise {\n // Make sure we reference the latest query as the current one might have been removed\n this.updateQuery()\n\n // Fetch\n let promise: Promise = this.currentQuery.fetch(\n this.options as QueryOptions,\n fetchOptions,\n )\n\n if (!fetchOptions?.throwOnError) {\n promise = promise.catch(noop)\n }\n\n return promise\n }\n\n private updateStaleTimeout(): void {\n this.clearStaleTimeout()\n\n if (\n isServer ||\n this.currentResult.isStale ||\n !isValidTimeout(this.options.staleTime)\n ) {\n return\n }\n\n const time = timeUntilStale(\n this.currentResult.dataUpdatedAt,\n this.options.staleTime,\n )\n\n // The timeout is sometimes triggered 1 ms before the stale time expiration.\n // To mitigate this issue we always add 1 ms to the timeout.\n const timeout = time + 1\n\n this.staleTimeoutId = setTimeout(() => {\n if (!this.currentResult.isStale) {\n this.updateResult()\n }\n }, timeout)\n }\n\n private computeRefetchInterval() {\n return typeof this.options.refetchInterval === 'function'\n ? this.options.refetchInterval(this.currentResult.data, this.currentQuery)\n : this.options.refetchInterval ?? false\n }\n\n private updateRefetchInterval(nextInterval: number | false): void {\n this.clearRefetchInterval()\n\n this.currentRefetchInterval = nextInterval\n\n if (\n isServer ||\n this.options.enabled === false ||\n !isValidTimeout(this.currentRefetchInterval) ||\n this.currentRefetchInterval === 0\n ) {\n return\n }\n\n this.refetchIntervalId = setInterval(() => {\n if (\n this.options.refetchIntervalInBackground ||\n focusManager.isFocused()\n ) {\n this.executeFetch()\n }\n }, this.currentRefetchInterval)\n }\n\n private updateTimers(): void {\n this.updateStaleTimeout()\n this.updateRefetchInterval(this.computeRefetchInterval())\n }\n\n private clearStaleTimeout(): void {\n if (this.staleTimeoutId) {\n clearTimeout(this.staleTimeoutId)\n this.staleTimeoutId = undefined\n }\n }\n\n private clearRefetchInterval(): void {\n if (this.refetchIntervalId) {\n clearInterval(this.refetchIntervalId)\n this.refetchIntervalId = undefined\n }\n }\n\n protected createResult(\n query: Query,\n options: QueryObserverOptions<\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey\n >,\n ): QueryObserverResult {\n const prevQuery = this.currentQuery\n const prevOptions = this.options\n const prevResult = this.currentResult as\n | QueryObserverResult\n | undefined\n const prevResultState = this.currentResultState\n const prevResultOptions = this.currentResultOptions\n const queryChange = query !== prevQuery\n const queryInitialState = queryChange\n ? query.state\n : this.currentQueryInitialState\n const prevQueryResult = queryChange\n ? this.currentResult\n : this.previousQueryResult\n\n const { state } = query\n let { dataUpdatedAt, error, errorUpdatedAt, fetchStatus, status } = state\n let isPreviousData = false\n let isPlaceholderData = false\n let data: TData | undefined\n\n // Optimistically set result in fetching state if needed\n if (options._optimisticResults) {\n const mounted = this.hasListeners()\n\n const fetchOnMount = !mounted && shouldFetchOnMount(query, options)\n\n const fetchOptionally =\n mounted && shouldFetchOptionally(query, prevQuery, options, prevOptions)\n\n if (fetchOnMount || fetchOptionally) {\n fetchStatus = canFetch(query.options.networkMode)\n ? 'fetching'\n : 'paused'\n if (!dataUpdatedAt) {\n status = 'loading'\n }\n }\n if (options._optimisticResults === 'isRestoring') {\n fetchStatus = 'idle'\n }\n }\n\n // Keep previous data if needed\n if (\n options.keepPreviousData &&\n !state.dataUpdatedAt &&\n prevQueryResult?.isSuccess &&\n status !== 'error'\n ) {\n data = prevQueryResult.data\n dataUpdatedAt = prevQueryResult.dataUpdatedAt\n status = prevQueryResult.status\n isPreviousData = true\n }\n // Select data if needed\n else if (options.select && typeof state.data !== 'undefined') {\n // Memoize select result\n if (\n prevResult &&\n state.data === prevResultState?.data &&\n options.select === this.selectFn\n ) {\n data = this.selectResult\n } else {\n try {\n this.selectFn = options.select\n data = options.select(state.data)\n data = replaceData(prevResult?.data, data, options)\n this.selectResult = data\n this.selectError = null\n } catch (selectError) {\n if (process.env.NODE_ENV !== 'production') {\n this.client.getLogger().error(selectError)\n }\n this.selectError = selectError as TError\n }\n }\n }\n // Use query data\n else {\n data = state.data as unknown as TData\n }\n\n // Show placeholder data if needed\n if (\n typeof options.placeholderData !== 'undefined' &&\n typeof data === 'undefined' &&\n status === 'loading'\n ) {\n let placeholderData\n\n // Memoize placeholder data\n if (\n prevResult?.isPlaceholderData &&\n options.placeholderData === prevResultOptions?.placeholderData\n ) {\n placeholderData = prevResult.data\n } else {\n placeholderData =\n typeof options.placeholderData === 'function'\n ? (options.placeholderData as PlaceholderDataFunction)()\n : options.placeholderData\n if (options.select && typeof placeholderData !== 'undefined') {\n try {\n placeholderData = options.select(placeholderData)\n this.selectError = null\n } catch (selectError) {\n if (process.env.NODE_ENV !== 'production') {\n this.client.getLogger().error(selectError)\n }\n this.selectError = selectError as TError\n }\n }\n }\n\n if (typeof placeholderData !== 'undefined') {\n status = 'success'\n data = replaceData(prevResult?.data, placeholderData, options) as TData\n isPlaceholderData = true\n }\n }\n\n if (this.selectError) {\n error = this.selectError as any\n data = this.selectResult\n errorUpdatedAt = Date.now()\n status = 'error'\n }\n\n const isFetching = fetchStatus === 'fetching'\n const isLoading = status === 'loading'\n const isError = status === 'error'\n\n const result: QueryObserverBaseResult = {\n status,\n fetchStatus,\n isLoading,\n isSuccess: status === 'success',\n isError,\n isInitialLoading: isLoading && isFetching,\n data,\n dataUpdatedAt,\n error,\n errorUpdatedAt,\n failureCount: state.fetchFailureCount,\n failureReason: state.fetchFailureReason,\n errorUpdateCount: state.errorUpdateCount,\n isFetched: state.dataUpdateCount > 0 || state.errorUpdateCount > 0,\n isFetchedAfterMount:\n state.dataUpdateCount > queryInitialState.dataUpdateCount ||\n state.errorUpdateCount > queryInitialState.errorUpdateCount,\n isFetching,\n isRefetching: isFetching && !isLoading,\n isLoadingError: isError && state.dataUpdatedAt === 0,\n isPaused: fetchStatus === 'paused',\n isPlaceholderData,\n isPreviousData,\n isRefetchError: isError && state.dataUpdatedAt !== 0,\n isStale: isStale(query, options),\n refetch: this.refetch,\n remove: this.remove,\n }\n\n return result as QueryObserverResult\n }\n\n updateResult(notifyOptions?: NotifyOptions): void {\n const prevResult = this.currentResult as\n | QueryObserverResult\n | undefined\n\n const nextResult = this.createResult(this.currentQuery, this.options)\n this.currentResultState = this.currentQuery.state\n this.currentResultOptions = this.options\n\n // Only notify and update result if something has changed\n if (shallowEqualObjects(nextResult, prevResult)) {\n return\n }\n\n this.currentResult = nextResult\n\n // Determine which callbacks to trigger\n const defaultNotifyOptions: NotifyOptions = { cache: true }\n\n const shouldNotifyListeners = (): boolean => {\n if (!prevResult) {\n return true\n }\n\n const { notifyOnChangeProps } = this.options\n\n if (\n notifyOnChangeProps === 'all' ||\n (!notifyOnChangeProps && !this.trackedProps.size)\n ) {\n return true\n }\n\n const includedProps = new Set(notifyOnChangeProps ?? this.trackedProps)\n\n if (this.options.useErrorBoundary) {\n includedProps.add('error')\n }\n\n return Object.keys(this.currentResult).some((key) => {\n const typedKey = key as keyof QueryObserverResult\n const changed = this.currentResult[typedKey] !== prevResult[typedKey]\n return changed && includedProps.has(typedKey)\n })\n }\n\n if (notifyOptions?.listeners !== false && shouldNotifyListeners()) {\n defaultNotifyOptions.listeners = true\n }\n\n this.notify({ ...defaultNotifyOptions, ...notifyOptions })\n }\n\n private updateQuery(): void {\n const query = this.client.getQueryCache().build(this.client, this.options)\n\n if (query === this.currentQuery) {\n return\n }\n\n const prevQuery = this.currentQuery as\n | Query\n | undefined\n this.currentQuery = query\n this.currentQueryInitialState = query.state\n this.previousQueryResult = this.currentResult\n\n if (this.hasListeners()) {\n prevQuery?.removeObserver(this)\n query.addObserver(this)\n }\n }\n\n onQueryUpdate(action: Action): void {\n const notifyOptions: NotifyOptions = {}\n\n if (action.type === 'success') {\n notifyOptions.onSuccess = !action.manual\n } else if (action.type === 'error' && !isCancelledError(action.error)) {\n notifyOptions.onError = true\n }\n\n this.updateResult(notifyOptions)\n\n if (this.hasListeners()) {\n this.updateTimers()\n }\n }\n\n private notify(notifyOptions: NotifyOptions): void {\n notifyManager.batch(() => {\n // First trigger the configuration callbacks\n if (notifyOptions.onSuccess) {\n this.options.onSuccess?.(this.currentResult.data!)\n this.options.onSettled?.(this.currentResult.data!, null)\n } else if (notifyOptions.onError) {\n this.options.onError?.(this.currentResult.error!)\n this.options.onSettled?.(undefined, this.currentResult.error!)\n }\n\n // Then trigger the listeners\n if (notifyOptions.listeners) {\n this.listeners.forEach(({ listener }) => {\n listener(this.currentResult)\n })\n }\n\n // Then the cache listeners\n if (notifyOptions.cache) {\n this.client.getQueryCache().notify({\n query: this.currentQuery,\n type: 'observerResultsUpdated',\n })\n }\n })\n }\n}\n\nfunction shouldLoadOnMount(\n query: Query,\n options: QueryObserverOptions,\n): boolean {\n return (\n options.enabled !== false &&\n !query.state.dataUpdatedAt &&\n !(query.state.status === 'error' && options.retryOnMount === false)\n )\n}\n\nfunction shouldFetchOnMount(\n query: Query,\n options: QueryObserverOptions,\n): boolean {\n return (\n shouldLoadOnMount(query, options) ||\n (query.state.dataUpdatedAt > 0 &&\n shouldFetchOn(query, options, options.refetchOnMount))\n )\n}\n\nfunction shouldFetchOn(\n query: Query,\n options: QueryObserverOptions,\n field: typeof options['refetchOnMount'] &\n typeof options['refetchOnWindowFocus'] &\n typeof options['refetchOnReconnect'],\n) {\n if (options.enabled !== false) {\n const value = typeof field === 'function' ? field(query) : field\n\n return value === 'always' || (value !== false && isStale(query, options))\n }\n return false\n}\n\nfunction shouldFetchOptionally(\n query: Query,\n prevQuery: Query,\n options: QueryObserverOptions,\n prevOptions: QueryObserverOptions,\n): boolean {\n return (\n options.enabled !== false &&\n (query !== prevQuery || prevOptions.enabled === false) &&\n (!options.suspense || query.state.status !== 'error') &&\n isStale(query, options)\n )\n}\n\nfunction isStale(\n query: Query,\n options: QueryObserverOptions,\n): boolean {\n return query.isStaleByTime(options.staleTime)\n}\n","'use client'\n// Temporary workaround due to an issue with react-native uSES - https://github.com/TanStack/query/pull/3601\nimport { useSyncExternalStore as uSES } from 'use-sync-external-store/shim/index.js'\n\nexport const useSyncExternalStore = uSES\n","'use client'\nimport * as React from 'react'\n\n// CONTEXT\n\nexport interface QueryErrorResetBoundaryValue {\n clearReset: () => void\n isReset: () => boolean\n reset: () => void\n}\n\nfunction createValue(): QueryErrorResetBoundaryValue {\n let isReset = false\n return {\n clearReset: () => {\n isReset = false\n },\n reset: () => {\n isReset = true\n },\n isReset: () => {\n return isReset\n },\n }\n}\n\nconst QueryErrorResetBoundaryContext = React.createContext(createValue())\n\n// HOOK\n\nexport const useQueryErrorResetBoundary = () =>\n React.useContext(QueryErrorResetBoundaryContext)\n\n// COMPONENT\n\nexport interface QueryErrorResetBoundaryProps {\n children:\n | ((value: QueryErrorResetBoundaryValue) => React.ReactNode)\n | React.ReactNode\n}\n\nexport const QueryErrorResetBoundary = ({\n children,\n}: QueryErrorResetBoundaryProps) => {\n const [value] = React.useState(() => createValue())\n return (\n \n {typeof children === 'function'\n ? (children as Function)(value)\n : children}\n \n )\n}\n","'use client'\nimport * as React from 'react'\n\nconst IsRestoringContext = React.createContext(false)\n\nexport const useIsRestoring = () => React.useContext(IsRestoringContext)\nexport const IsRestoringProvider = IsRestoringContext.Provider\n","'use client'\nimport type {\n DefaultedQueryObserverOptions,\n Query,\n QueryKey,\n QueryObserverResult,\n UseErrorBoundary,\n} from '@tanstack/query-core'\nimport type { QueryErrorResetBoundaryValue } from './QueryErrorResetBoundary'\nimport * as React from 'react'\nimport { shouldThrowError } from './utils'\n\nexport const ensurePreventErrorBoundaryRetry = <\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey extends QueryKey,\n>(\n options: DefaultedQueryObserverOptions<\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey\n >,\n errorResetBoundary: QueryErrorResetBoundaryValue,\n) => {\n if (options.suspense || options.useErrorBoundary) {\n // Prevent retrying failed query if the error boundary has not been reset yet\n if (!errorResetBoundary.isReset()) {\n options.retryOnMount = false\n }\n }\n}\n\nexport const useClearResetErrorBoundary = (\n errorResetBoundary: QueryErrorResetBoundaryValue,\n) => {\n React.useEffect(() => {\n errorResetBoundary.clearReset()\n }, [errorResetBoundary])\n}\n\nexport const getHasError = <\n TData,\n TError,\n TQueryFnData,\n TQueryData,\n TQueryKey extends QueryKey,\n>({\n result,\n errorResetBoundary,\n useErrorBoundary,\n query,\n}: {\n result: QueryObserverResult\n errorResetBoundary: QueryErrorResetBoundaryValue\n useErrorBoundary: UseErrorBoundary<\n TQueryFnData,\n TError,\n TQueryData,\n TQueryKey\n >\n query: Query\n}) => {\n return (\n result.isError &&\n !errorResetBoundary.isReset() &&\n !result.isFetching &&\n shouldThrowError(useErrorBoundary, [result.error, query])\n )\n}\n","export function shouldThrowError boolean>(\n _useErrorBoundary: boolean | T | undefined,\n params: Parameters,\n): boolean {\n // Allow useErrorBoundary function to override throwing behavior on a per-error basis\n if (typeof _useErrorBoundary === 'function') {\n return _useErrorBoundary(...params)\n }\n\n return !!_useErrorBoundary\n}\n","'use client'\nimport * as React from 'react'\nimport { useSyncExternalStore } from './useSyncExternalStore'\n\nimport type { QueryKey, QueryObserver } from '@tanstack/query-core'\nimport { notifyManager } from '@tanstack/query-core'\nimport { useQueryErrorResetBoundary } from './QueryErrorResetBoundary'\nimport { useQueryClient } from './QueryClientProvider'\nimport type { UseBaseQueryOptions } from './types'\nimport { useIsRestoring } from './isRestoring'\nimport {\n ensurePreventErrorBoundaryRetry,\n getHasError,\n useClearResetErrorBoundary,\n} from './errorBoundaryUtils'\nimport { ensureStaleTime, shouldSuspend, fetchOptimistic } from './suspense'\n\nexport function useBaseQuery<\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey extends QueryKey,\n>(\n options: UseBaseQueryOptions<\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey\n >,\n Observer: typeof QueryObserver,\n) {\n const queryClient = useQueryClient({ context: options.context })\n const isRestoring = useIsRestoring()\n const errorResetBoundary = useQueryErrorResetBoundary()\n const defaultedOptions = queryClient.defaultQueryOptions(options)\n\n // Make sure results are optimistically set in fetching state before subscribing or updating options\n defaultedOptions._optimisticResults = isRestoring\n ? 'isRestoring'\n : 'optimistic'\n\n // Include callbacks in batch renders\n if (defaultedOptions.onError) {\n defaultedOptions.onError = notifyManager.batchCalls(\n defaultedOptions.onError,\n )\n }\n\n if (defaultedOptions.onSuccess) {\n defaultedOptions.onSuccess = notifyManager.batchCalls(\n defaultedOptions.onSuccess,\n )\n }\n\n if (defaultedOptions.onSettled) {\n defaultedOptions.onSettled = notifyManager.batchCalls(\n defaultedOptions.onSettled,\n )\n }\n\n ensureStaleTime(defaultedOptions)\n ensurePreventErrorBoundaryRetry(defaultedOptions, errorResetBoundary)\n\n useClearResetErrorBoundary(errorResetBoundary)\n\n const [observer] = React.useState(\n () =>\n new Observer(\n queryClient,\n defaultedOptions,\n ),\n )\n\n const result = observer.getOptimisticResult(defaultedOptions)\n\n useSyncExternalStore(\n React.useCallback(\n (onStoreChange) => {\n const unsubscribe = isRestoring\n ? () => undefined\n : observer.subscribe(notifyManager.batchCalls(onStoreChange))\n\n // Update result to make sure we did not miss any query updates\n // between creating the observer and subscribing to it.\n observer.updateResult()\n\n return unsubscribe\n },\n [observer, isRestoring],\n ),\n () => observer.getCurrentResult(),\n () => observer.getCurrentResult(),\n )\n\n React.useEffect(() => {\n // Do not notify on updates because of changes in the options because\n // these changes should already be reflected in the optimistic result.\n observer.setOptions(defaultedOptions, { listeners: false })\n }, [defaultedOptions, observer])\n\n // Handle suspense\n if (shouldSuspend(defaultedOptions, result, isRestoring)) {\n throw fetchOptimistic(defaultedOptions, observer, errorResetBoundary)\n }\n\n // Handle error boundary\n if (\n getHasError({\n result,\n errorResetBoundary,\n useErrorBoundary: defaultedOptions.useErrorBoundary,\n query: observer.getCurrentQuery(),\n })\n ) {\n throw result.error\n }\n\n // Handle result property usage tracking\n return !defaultedOptions.notifyOnChangeProps\n ? observer.trackResult(result)\n : result\n}\n","import type { DefaultedQueryObserverOptions } from '@tanstack/query-core'\nimport type { QueryObserver } from '@tanstack/query-core'\nimport type { QueryErrorResetBoundaryValue } from './QueryErrorResetBoundary'\nimport type { QueryObserverResult } from '@tanstack/query-core'\nimport type { QueryKey } from '@tanstack/query-core'\n\nexport const ensureStaleTime = (\n defaultedOptions: DefaultedQueryObserverOptions,\n) => {\n if (defaultedOptions.suspense) {\n // Always set stale time when using suspense to prevent\n // fetching again when directly mounting after suspending\n if (typeof defaultedOptions.staleTime !== 'number') {\n defaultedOptions.staleTime = 1000\n }\n }\n}\n\nexport const willFetch = (\n result: QueryObserverResult,\n isRestoring: boolean,\n) => result.isLoading && result.isFetching && !isRestoring\n\nexport const shouldSuspend = (\n defaultedOptions:\n | DefaultedQueryObserverOptions\n | undefined,\n result: QueryObserverResult,\n isRestoring: boolean,\n) => defaultedOptions?.suspense && willFetch(result, isRestoring)\n\nexport const fetchOptimistic = <\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey extends QueryKey,\n>(\n defaultedOptions: DefaultedQueryObserverOptions<\n TQueryFnData,\n TError,\n TData,\n TQueryData,\n TQueryKey\n >,\n observer: QueryObserver,\n errorResetBoundary: QueryErrorResetBoundaryValue,\n) =>\n observer\n .fetchOptimistic(defaultedOptions)\n .then(({ data }) => {\n defaultedOptions.onSuccess?.(data as TData)\n defaultedOptions.onSettled?.(data, null)\n })\n .catch((error) => {\n errorResetBoundary.clearReset()\n defaultedOptions.onError?.(error)\n defaultedOptions.onSettled?.(undefined, error)\n })\n","'use client'\nimport type { QueryFunction, QueryKey } from '@tanstack/query-core'\nimport { parseQueryArgs, QueryObserver } from '@tanstack/query-core'\nimport type {\n DefinedUseQueryResult,\n UseQueryOptions,\n UseQueryResult,\n} from './types'\nimport { useBaseQuery } from './useBaseQuery'\n\n// HOOK\n\nexport function useQuery<\n TQueryFnData = unknown,\n TError = unknown,\n TData = TQueryFnData,\n TQueryKey extends QueryKey = QueryKey,\n>(\n options: Omit<\n UseQueryOptions,\n 'initialData'\n > & { initialData?: () => undefined },\n): UseQueryResult\n\nexport function useQuery<\n TQueryFnData = unknown,\n TError = unknown,\n TData = TQueryFnData,\n TQueryKey extends QueryKey = QueryKey,\n>(\n options: Omit<\n UseQueryOptions,\n 'initialData'\n > & { initialData: TQueryFnData | (() => TQueryFnData) },\n): DefinedUseQueryResult\n\nexport function useQuery<\n TQueryFnData = unknown,\n TError = unknown,\n TData = TQueryFnData,\n TQueryKey extends QueryKey = QueryKey,\n>(\n options: UseQueryOptions,\n): UseQueryResult\n\nexport function useQuery<\n TQueryFnData = unknown,\n TError = unknown,\n TData = TQueryFnData,\n TQueryKey extends QueryKey = QueryKey,\n>(\n queryKey: TQueryKey,\n options?: Omit<\n UseQueryOptions,\n 'queryKey' | 'initialData'\n > & { initialData?: () => undefined },\n): UseQueryResult\n\nexport function useQuery<\n TQueryFnData = unknown,\n TError = unknown,\n TData = TQueryFnData,\n TQueryKey extends QueryKey = QueryKey,\n>(\n queryKey: TQueryKey,\n options?: Omit<\n UseQueryOptions,\n 'queryKey' | 'initialData'\n > & { initialData: TQueryFnData | (() => TQueryFnData) },\n): DefinedUseQueryResult\n\nexport function useQuery<\n TQueryFnData = unknown,\n TError = unknown,\n TData = TQueryFnData,\n TQueryKey extends QueryKey = QueryKey,\n>(\n queryKey: TQueryKey,\n options?: Omit<\n UseQueryOptions,\n 'queryKey'\n >,\n): UseQueryResult\n\nexport function useQuery<\n TQueryFnData = unknown,\n TError = unknown,\n TData = TQueryFnData,\n TQueryKey extends QueryKey = QueryKey,\n>(\n queryKey: TQueryKey,\n queryFn: QueryFunction,\n options?: Omit<\n UseQueryOptions,\n 'queryKey' | 'queryFn' | 'initialData'\n > & { initialData?: () => undefined },\n): UseQueryResult\n\nexport function useQuery<\n TQueryFnData = unknown,\n TError = unknown,\n TData = TQueryFnData,\n TQueryKey extends QueryKey = QueryKey,\n>(\n queryKey: TQueryKey,\n queryFn: QueryFunction,\n options?: Omit<\n UseQueryOptions,\n 'queryKey' | 'queryFn' | 'initialData'\n > & { initialData: TQueryFnData | (() => TQueryFnData) },\n): DefinedUseQueryResult\n\nexport function useQuery<\n TQueryFnData = unknown,\n TError = unknown,\n TData = TQueryFnData,\n TQueryKey extends QueryKey = QueryKey,\n>(\n queryKey: TQueryKey,\n queryFn: QueryFunction,\n options?: Omit<\n UseQueryOptions,\n 'queryKey' | 'queryFn'\n >,\n): UseQueryResult\n\nexport function useQuery<\n TQueryFnData,\n TError,\n TData = TQueryFnData,\n TQueryKey extends QueryKey = QueryKey,\n>(\n arg1: TQueryKey | UseQueryOptions,\n arg2?:\n | QueryFunction\n | UseQueryOptions,\n arg3?: UseQueryOptions,\n): UseQueryResult {\n const parsedOptions = parseQueryArgs(arg1, arg2, arg3)\n return useBaseQuery(parsedOptions, QueryObserver)\n}\n","import { useQuery } from '@tanstack/react-query';\nimport {\n fetchRepos,\n fetchBanner,\n fetchDataCompany,\n fetchFeatures,\n fetchTestimoni,\n fetchProgrammes,\n fetchAbout,\n fetchHelp,\n fetchPrivacy,\n fetchRefund,\n fetchTerms,\n fetchCancellation,\n fetchFaq,\n fetchCompanyLogo,\n fetchTheme,\n fetchProductSettings} from \"./ApiRequest\";\n\nexport const useGetRepos = () => {\n const {\n data,\n isLoading: loadingRepos,\n isError: errorRepos,\n } = useQuery(['repo'], fetchRepos);\n\n return { data, loadingRepos, errorRepos };\n};\n\nexport const useGetBanner = () => {\n const {\n data: listBanner,\n isLoading: loadingBanner,\n error: errorBanner,\n } = useQuery(['banner'], fetchBanner);\n\n return { listBanner, loadingBanner, errorBanner };\n};\n\nexport const useGetCompany = () => {\n const {\n data: dataCompany,\n isLoading: loadingDataCompany,\n isError: errorDataCompany,\n } = useQuery(['general'], fetchDataCompany);\n\n return { dataCompany, loadingDataCompany, errorDataCompany };\n};\n\nexport const useGetCompanyLogo = () => {\n const { data: companyLogo, isLoading : loadingCompanyLogo, isError : errorCompanyLogo } = useQuery(['logo'], fetchCompanyLogo);\n\nreturn {companyLogo, loadingCompanyLogo, errorCompanyLogo }\n}\n\nexport const useGetFeatures = () => {\n const {\n data: features,\n isLoading: loadingFeatures,\n isError: errorFeatures,\n } = useQuery(['features'], fetchFeatures);\n\n return { features, loadingFeatures, errorFeatures };\n};\n\nexport const useGetTestimoni = () => {\n const {\n data: testimonies,\n isLoading: loadingTestimonies,\n isError: errorTestimonies,\n } = useQuery(['testimonies'], fetchTestimoni);\n\n return { testimonies, loadingTestimonies, errorTestimonies };\n};\n\nexport const useGetProgrammes = () => {\n const {\n data: programmes,\n isLoading: loadingProgrammes,\n isError: errorProgrammes,\n } = useQuery(['programmes'], fetchProgrammes);\n\n return { programmes, loadingProgrammes, errorProgrammes };\n};\n\nexport const useGetAbout = () => {\n const {\n data: about,\n isLoading: loadingAbout,\n isError: errorAbout,\n } = useQuery(['about'], fetchAbout);\n\n return { about, loadingAbout, errorAbout };\n};\n\nexport const useGetHelp = () => {\n const {\n data: help,\n isLoading: loadingHelp,\n isError: errorHelp,\n } = useQuery(['help'], fetchHelp);\n\n return { help, loadingHelp, errorHelp };\n};\n\nexport const useGetFaq = () => {\n const {\n data: faq,\n isLoading: loadingFaq,\n isError: errorFaq,\n } = useQuery(['faq'], () => fetchFaq());\n\n return { faq, loadingFaq, errorFaq };\n};\n\nexport const useGetTerms = () => {\n const {\n data: terms,\n isLoading: loadingTerms,\n isError: errorTerms,\n } = useQuery(['terms'], fetchTerms);\n\n return { terms, loadingTerms, errorTerms };\n};\n\nexport const useGetPrivacy = () => {\n const {\n data: privacy,\n isLoading: loadingPrivacy,\n isError: errorPrivacy,\n } = useQuery(['privacy'], fetchPrivacy);\n\n return { privacy, loadingPrivacy, errorPrivacy };\n};\n\nexport const useGetRefund = () => {\n const {\n data: refund,\n isLoading: loadingRefund,\n isError: errorRefund,\n } = useQuery(['refund'], fetchRefund);\n\n return { refund, loadingRefund, errorRefund };\n};\n\nexport const useGetCancellation = () => {\n const {\n data: cancellation,\n isLoading: loadingCancellation,\n isError: errorCancellation,\n } = useQuery(['refund'], fetchCancellation);\n\n return { cancellation, loadingCancellation, errorCancellation };\n};\n\nexport const useGetTheme = () => {\n const {\n data: theme,\n isLoading: loadingTheme,\n isError: errorTheme,\n } = useQuery(['theme'], fetchTheme);\n\n return { theme, loadingTheme, errorTheme };\n};\n\nexport const useGetProductSettings = () => {\n const {\n data: productSettings,\n isLoading: loadingProductSettings,\n isError: errorProductSettings,\n } = useQuery(['product'], fetchProductSettings);\n\n return { productSettings, loadingProductSettings, errorProductSettings };\n};\n","import axios from 'axios';\n\n// const token = localStorage.getItem('token');\nconst normalRequest = axios.create({\n baseURL: process.env.REACT_APP_BASE_CMS_URL,\n headers: {\n 'Content-Type': 'application/x-www-form-urlencoded',\n 'Access-Control-Allow-Origin': '*',\n app_code: 'wl-malaysia',\n },\n});\ndelete normalRequest.defaults.headers.common['Authorization'];\nexport default normalRequest;\n\nexport const authCMSRequest = axios.create({\n baseURL: process.env.REACT_APP_BASE_CMS_URL,\n headers: {\n 'Content-Type': 'application/x-www-form-urlencoded',\n 'Access-Control-Allow-Origin': '*',\n app_code: 'wl-malaysia',\n // token: token,\n },\n});\n\nauthCMSRequest.interceptors.request.use(\n (config) => {\n const token = localStorage.getItem('token');\n if (token) {\n config.headers['token'] = token;\n }\n return config;\n },\n (error) => {\n return Promise.reject(error);\n }\n);\n\nauthCMSRequest.interceptors.response.use(\n (response) => response,\n (error) => {\n if (error.response.status === 401) {\n localStorage.removeItem('token');\n localStorage.removeItem('role');\n\n window.location.href = '/';\n } else {\n return Promise.reject(error);\n }\n },\n);\n\nexport const authEDURequest = axios.create({\n baseURL: process.env.REACT_APP_BASE_EDU_URL,\n headers: {\n 'Content-Type': 'application/x-www-form-urlencoded',\n 'Access-Control-Allow-Origin': '*',\n 'Access-Control-Allow-Method': '*',\n app_code: 'wl-malaysia',\n // token: token,\n },\n auth: {\n username: 'api',\n password: 'booking',\n },\n});\n\nauthEDURequest.interceptors.request.use(\n (config) => {\n const token = localStorage.getItem('token');\n if (token) {\n config.headers['token'] = token;\n }\n return config;\n },\n (error) => {\n return Promise.reject(error);\n }\n);\n\nauthEDURequest.interceptors.response.use(\n (response) => response,\n (error) => {\n if (error.response.status === 401) {\n localStorage.removeItem('token');\n localStorage.removeItem('role');\n\n window.location.href = '/';\n } else {\n return Promise.reject(error);\n }\n },\n);\n\nconst logout = async () => {\n try {\n // remove token from local storage and redirect to login page\n localStorage.removeItem('token');\n localStorage.removeItem('role');\n\n window.open('/login', '_self');\n } catch (e) {\n console.log(e);\n }\n};\n\n// authEDURequest.interceptors.response.use(\n// (response) => response,\n// (error) => {\n// if (error.response.status === 401) {\n// logout()\n// }\n\n// return Promise.reject(error);\n// }\n// )\n// authCMSRequest.interceptors.response.use(\n// (response) => response,\n// (error) => {\n// if (error.response.status === 401) {\n// logout()\n// }\n\n// return Promise.reject(error);\n// }\n// )\n","import { createSlice } from '@reduxjs/toolkit';\n\nconst voucherSlice = createSlice({\n name: 'voucher',\n initialState: {\n vouchers: [],\n loadingVouchers: false,\n errorVouchers: null,\n voucherExchanged: {},\n loadingVoucherExchanged: false,\n errorVoucherExchanged: null,\n page: 1,\n limit: 10,\n search: '',\n },\n reducers: {\n fetchVouchersStart(state, action) {\n state.loadingVouchers = true;\n state.errorVouchers = null;\n\n const {\n page,\n limit,\n q: { name_cont: search },\n } = action.payload;\n const { page: oldPage, limit: oldLimit, search: oldSearch } = state;\n\n oldPage !== page && (state.page = page);\n oldLimit !== limit && (state.limit = limit);\n oldSearch !== search && (state.search = search);\n },\n fetchVouchersSuccess(state, action) {\n state.loadingVouchers = false;\n state.vouchers = action.payload;\n },\n fetchVouchersFailure(state, action) {\n state.loadingVouchers = false;\n state.errorVouchers = action.payload;\n },\n redeemVoucherRequest: (state) => {\n state.loadingVoucherExchanged = true;\n state.voucherExchanged = null;\n state.errorVoucherExchanged = null;\n },\n redeemVoucherSuccess: (state, action) => {\n state.loadingVoucherExchanged = false;\n state.voucherExchanged = action.payload;\n state.errorVoucherExchanged = null;\n },\n redeemVoucherFailure: (state, action) => {\n state.loadingVoucherExchanged = false;\n state.voucherExchanged = {};\n state.errorVoucherExchanged = action.payload;\n },\n },\n});\n\nexport const {\n fetchVouchersStart,\n fetchVouchersSuccess,\n fetchVouchersFailure,\n redeemVoucherRequest,\n redeemVoucherFailure,\n redeemVoucherSuccess,\n} = voucherSlice.actions;\n\nexport default voucherSlice.reducer;\n","import { LOGIN } from '../../constants/auth/login';\n\n// function action\nexport const login = (email, password) => ({\n type: LOGIN.LOGIN,\n email,\n password,\n});\n\nexport const loginSuccess = (payload) => ({\n type: LOGIN.LOGIN_SUCCESS,\n payload,\n});\n\nexport const loginFailed = (payload) => ({\n type: LOGIN.LOGIN_FAILED,\n payload,\n});\n\nexport const logout = () => ({\n type: LOGIN.LOGOUT,\n});\n\nexport const loginWithGoogle = (email, googleId) => ({\n type: LOGIN.LOGIN_WITH_GOOGLE,\n email,\n googleId,\n});\n\nexport const loginWithGoogleSuccess = (payload) => ({\n type: LOGIN.LOGIN_WITH_GOOGLE_SUCCESS,\n payload,\n});\n\nexport const loginWithGoogleFailed = (payload) => ({\n type: LOGIN.LOGIN_WITH_GOOGLE_FAILED,\n payload,\n});\n\nexport const forgotPassword = (email) => ({\n type: LOGIN.FORGOT_PASSWORD,\n email,\n});\n\nexport const forgotPasswordSuccess = (payload) => ({\n type: LOGIN.FORGOT_PASSWORD_SUCCESS,\n payload,\n});\n\nexport const forgotPasswordFailed = (payload) => ({\n type: LOGIN.FORGOT_PASSWORD_FAILED,\n payload,\n});\n\nexport const resetStatus = () => ({\n type: LOGIN.RESET_STATUS,\n});\n","import { REGIS } from '../../constants/auth/regis';\n\nexport const registerNextStep = (step) => ({\n type: REGIS.REGISTER_NEXT_STEP,\n step,\n});\n\nexport const registerPrevStep = (step) => ({\n type: REGIS.REGISTER_PREV_STEP,\n step,\n});\n\nexport const regisStep1 = (\n full_name,\n email,\n provider = '',\n providerId = '',\n) => ({\n type: REGIS.REGIS_STEP_1,\n full_name,\n email,\n provider,\n providerId,\n});\n\nexport const regisStep2 = (password) => ({\n type: REGIS.REGIS_STEP_2,\n password,\n});\n\nexport const regisStep3 = (phone_number, phone_country_code) => ({\n type: REGIS.REGIS_STEP_3,\n phone_country_code,\n phone_number,\n});\n\nexport const register = (data) => ({\n type: REGIS.REGISTER,\n data,\n});\n\nexport const registerSuccess = (payload) => ({\n type: REGIS.REGISTER_SUCCESS,\n payload,\n});\n\nexport const registerFailed = (payload) => ({\n type: REGIS.REGISTER_FAILED,\n payload,\n});\n\nexport const registerByGoogle = (email, googleId) => ({\n type: REGIS.REGISTER_BY_GOOGLE,\n email,\n googleId,\n});\n\nexport const registerByGoogleSuccess = (payload) => ({\n type: REGIS.REGISTER_BY_GOOGLE_SUCCESS,\n payload,\n});\n\nexport const registerByGoogleFailed = (payload) => ({\n type: REGIS.REGISTER_BY_GOOGLE_FAILED,\n payload,\n});\n","import { CATEGORY } from '../../constants/learning/category';\n\n// function action for get all category\nexport const getAllCategory = () => ({\n type: CATEGORY.GET_ALL_CATEGORY,\n});\n\nexport const getAllCategorySuccess = (payload) => ({\n type: CATEGORY.GET_ALL_CATEGORY_SUCCESS,\n payload,\n});\n\nexport const getAllCategoryFailed = (payload) => ({\n type: CATEGORY.GET_ALL_CATEGORY_FAILED,\n payload,\n});\n\n// export const logout = () => ({\n// type: LOGIN.LOGOUT,\n// });\n\n// export const logoutSuccess = (payload) => ({\n// type: LOGIN.LOGOUT_SUCCESS,\n// payload,\n// });\n\n// export const logoutFailed = (payload) => ({\n// type: LOGIN.LOGOUT_FAILED,\n// payload,\n// });\n","import { COURSE } from '../../constants/learning/course';\n\nexport const buyHistoryStatus = (status) => ({\n type: COURSE.BUY_HISTORY_STATUS,\n payload: status,\n});\n\nexport const buyHistoryPagination = (page) => ({\n type: COURSE.BUY_HISTORY_PAGINATION,\n payload: page,\n});\n\nexport const buyHistoryLimit = (limit) => ({\n type: COURSE.BUY_HISTORY_LIMIT,\n payload: limit,\n});\n\nexport const buyHistorySearch = (search) => ({\n type: COURSE.BUY_HISTORY_SEARCH,\n payload: search,\n});\n\n// action to get all course\nexport const getAllCourse = () => ({\n type: COURSE.GET_ALL_COURSE,\n});\n\nexport const getAllCourseSuccess = (payload) => ({\n type: COURSE.GET_ALL_COURSE_SUCCESS,\n payload,\n});\n\nexport const getAllCourseFailed = (payload) => ({\n type: COURSE.GET_ALL_COURSE_FAILED,\n payload,\n});\n\nexport const setCourseId = (payload) => ({\n type: COURSE.SET_COURSE_ID,\n payload,\n});\n\n// action to get trending course\nexport const getAllTrendingCourse = () => ({\n type: COURSE.GET_TRENDING_COURSE,\n});\n\nexport const getAllTrendingCourseSuccess = (payload) => ({\n type: COURSE.GET_TRENDING_COURSE_SUCCESS,\n payload,\n});\n\nexport const getAllTrendingCourseFailed = (payload) => ({\n type: COURSE.GET_TRENDING_COURSE_FAILED,\n payload,\n});\n\n// action to get course by id\nexport const getAllCourseById = (id) => ({\n type: COURSE.GET_ALL_COURSE_BY_ID,\n id,\n});\n\nexport const getAllCourseByIdSuccess = (payload) => ({\n type: COURSE.GET_ALL_COURSE_BY_ID_SUCCESS,\n payload,\n});\n\nexport const getAllCourseByIdFailed = (payload) => ({\n type: COURSE.GET_ALL_COURSE_BY_ID_FAILED,\n payload,\n});\n\n//action to get course by user\nexport const getCourseByUser = (email) => ({\n type: COURSE.GET_COURSE_BY_USER,\n email,\n});\n\nexport const getCourseByUserSuccess = (payload) => ({\n type: COURSE.GET_COURSE_BY_USER_SUCCESS,\n payload,\n});\n\nexport const getCourseByUserFailed = (payload) => ({\n type: COURSE.GET_COURSE_BY_USER_FAILED,\n payload,\n});\n\n//action to get comment by course\nexport const getAllCommentByCourse = (id) => ({\n type: COURSE.GET_ALL_COMMENT_BY_COURSE,\n id,\n});\n\nexport const getAllCommentByCourseSuccess = (payload) => ({\n type: COURSE.GET_ALL_COMMENT_BY_COURSE_SUCCESS,\n payload,\n});\n\nexport const getAllCommentByCourseFailed = (payload) => ({\n type: COURSE.GET_ALL_COMMENT_BY_COURSE_FAILED,\n payload,\n});\n\n// action to post comment\nexport const postComment = (data) => ({\n type: COURSE.POST_COMMENT,\n data,\n});\n\nexport const postCommentSuccess = (payload) => ({\n type: COURSE.POST_COMMENT_SUCCESS,\n payload,\n});\n\nexport const postCommentFailed = (payload) => ({\n type: COURSE.POST_COMMENT_FAILED,\n payload,\n});\n\nexport const searchCourse = (course) => ({\n type: COURSE.SEARCH_COURSE,\n course,\n});\n\nexport const searchCourseSuccess = (payload) => ({\n type: COURSE.SEARCH_COURSE_SUCCESS,\n payload,\n});\n\nexport const searchCourseFailed = (payload) => ({\n type: COURSE.SEARCH_COURSE_FAILED,\n payload,\n});\n\n// action to get category by id\nexport const getCategoryById = (id) => ({\n type: COURSE.GET_CATEGORY_BY_ID,\n id,\n});\n\nexport const getCategoryByIdSuccess = (payload) => ({\n type: COURSE.GET_CATEGORY_BY_ID_SUCCESS,\n payload,\n});\n\nexport const getCategoryByIdFailed = (payload) => ({\n type: COURSE.GET_CATEGORY_BY_ID_FAILED,\n payload,\n});\n\n// action to get buy course\nexport const getBuyCourse = (course_id) => ({\n type: COURSE.GET_BUY_COURSE,\n course_id,\n});\n\nexport const getBuyCourseSuccess = (payload) => ({\n type: COURSE.GET_BUY_COURSE_SUCCESS,\n payload,\n});\n\nexport const getBuyCourseFailed = (payload) => ({\n type: COURSE.GET_BUY_COURSE_FAILED,\n payload,\n});\n\nexport const courseHasBeenPaid = () => ({\n type: COURSE.COURSE_HAS_BEEN_PAID,\n});\n\n// action to get buy history\nexport const getBuyHistory = (page, limit, status, searchValue) => {\n return {\n type: COURSE.GET_BUY_HISTORY,\n payload: {\n page,\n limit,\n q: { order_status_eq: status, name_cont: searchValue },\n },\n };\n};\n\nexport const getBuyHistorySuccess = (payload) => ({\n type: COURSE.GET_BUY_HISTORY_SUCCESS,\n payload,\n});\n\nexport const getBuyHistoryFailed = (payload) => ({\n type: COURSE.GET_BUY_HISTORY_FAILED,\n payload,\n});\n\n// action to get detail score\nexport const getDetailScore = (email, course_id) => ({\n type: COURSE.GET_DETAIL_SCORE,\n email,\n course_id,\n});\n\nexport const getDetailScoreSuccess = (payload) => ({\n type: COURSE.GET_DETAIL_SCORE_SUCCESS,\n payload,\n});\n\nexport const getDetailScoreFailed = (payload) => ({\n type: COURSE.GET_DETAIL_SCORE_FAILED,\n payload,\n});\n\n// action to get content course\nexport const getCourseContent = (id) => ({\n type: COURSE.GET_COURSE_CONTENT,\n id,\n});\n\nexport const getCourseContentSuccess = (payload) => ({\n type: COURSE.GET_COURSE_CONTENT_SUCCESS,\n payload,\n});\n\nexport const getCourseContentFailed = (payload) => ({\n type: COURSE.GET_COURSE_CONTENT_FAILED,\n payload,\n});\n\nexport const clearBuyCourse = () => ({\n type: COURSE.CLEAR_BUY_COURSE,\n});\n\nexport const sendRating = (data) => ({\n type: COURSE.SEND_RATING,\n data,\n});\n\nexport const sendRatingSuccess = (payload) => ({\n type: COURSE.SEND_RATING_SUCCESS,\n payload,\n});\n\nexport const sendRatingFailed = (payload) => ({\n type: COURSE.SEND_RATING_FAILED,\n payload,\n});\n\nexport const getRating = (id) => ({\n type: COURSE.GET_RATING,\n id,\n});\n\nexport const getRatingSuccess = (payload) => ({\n type: COURSE.GET_RATING_SUCCESS,\n payload,\n});\n\nexport const getRatingFailed = (payload) => ({\n type: COURSE.GET_RATING_FAILED,\n payload,\n});\n\nexport const likeComment = (data) => ({\n type: COURSE.POST_LIKE,\n data,\n});\n\nexport const likeCommentSuccess = (payload) => ({\n type: COURSE.POST_LIKE_SUCCESS,\n payload,\n});\n\nexport const likeCommentFailed = (payload) => ({\n type: COURSE.POST_LIKE_FAILED,\n payload,\n});\n\nexport const dislikeComment = (data) => ({\n type: COURSE.POST_DISLIKE,\n data,\n});\n\nexport const dislikeCommentSuccess = (payload) => ({\n type: COURSE.POST_DISLIKE_SUCCESS,\n payload,\n});\n\nexport const dislikeCommentFailed = (payload) => ({\n type: COURSE.POST_DISLIKE_FAILED,\n payload,\n});\n\n// reset status\nexport const resetCourseStatus = () => ({\n type: COURSE.RESET_COURSE_STATUS,\n});\n","import { QUIZ } from '../../constants/learning/quiz';\n\nexport const setQuizId = (payload) => ({\n type: QUIZ.SET_QUIZ_ID,\n payload,\n});\n\nexport const getQuiz = (id) => ({\n type: QUIZ.GET_QUIZ,\n id,\n});\n\nexport const getQuizSuccess = (payload) => ({\n type: QUIZ.GET_QUIZ_SUCCESS,\n payload,\n});\n\nexport const getQuizFailed = (payload) => ({\n type: QUIZ.GET_QUIZ_FAILED,\n payload,\n});\n\nexport const endQuiz = (data) => ({\n type: QUIZ.END_QUIZ,\n data,\n});\n\nexport const endQuizSuccess = (payload) => ({\n type: QUIZ.END_QUIZ_SUCCESS,\n payload,\n});\n\nexport const endQuizFailed = (payload) => ({\n type: QUIZ.END_QUIZ_FAILED,\n payload,\n});\n\nexport const setQuizTime = (time) => ({\n type: QUIZ.SET_QUIZ_TIME,\n time,\n});\n\nexport const setQuizTimeRemaining = (time) => ({\n type: QUIZ.SET_QUIZ_TIME_REMAINING,\n time,\n});\n\nexport const setUsedTime = (time) => ({\n type: QUIZ.SET_USED_TIME,\n time,\n});\n\nexport const setTimeSpent = (time) => ({\n type: QUIZ.SET_TIME_SPENT,\n time,\n});\n\nexport const getScore = (data) => ({\n type: QUIZ.GET_SCORE,\n data,\n});\n\nexport const getScoreSuccess = (payload) => ({\n type: QUIZ.GET_SCORE_SUCCESS,\n payload,\n});\n\nexport const getScoreFailed = (payload) => ({\n type: QUIZ.GET_SCORE_FAILED,\n payload,\n});\n","import { EDIT_PROFILE } from '../../constants/profile/editProfile';\n\nexport const editProfile = (data) => ({\n type: EDIT_PROFILE.EDIT_PROFILE,\n data,\n});\n\nexport const editProfileSuccess = (payload) => ({\n type: EDIT_PROFILE.EDIT_PROFILE_SUCCESS,\n payload,\n});\n\nexport const editProfileFailed = (payload) => ({\n type: EDIT_PROFILE.EDIT_PROFILE_FAILED,\n payload,\n});\n\nexport const editPhoto = (data) => ({\n type: EDIT_PROFILE.EDIT_PHOTO,\n data,\n});\n\nexport const editPhotoSuccess = (payload) => ({\n type: EDIT_PROFILE.EDIT_PHOTO_SUCCESS,\n payload,\n});\n\nexport const editPhotoFailed = (payload) => ({\n type: EDIT_PROFILE.EDIT_PHOTO_FAILED,\n payload,\n});\n","import { USER } from '../../constants/profile/user';\n\nexport const getUser = () => ({\n type: USER.GET_USER,\n});\n\nexport const getUserSuccess = (payload) => ({\n type: USER.GET_USER_SUCCESS,\n payload,\n});\n\nexport const getUserFailed = (payload) => ({\n type: USER.GET_USER_FAILED,\n payload,\n});\n\nexport const changePassword = (\n old_password,\n new_password,\n password_confirmation,\n) => ({\n type: USER.CHANGE_PASSWORD,\n old_password,\n new_password,\n password_confirmation,\n});\n\nexport const changePasswordSuccess = (payload) => ({\n type: USER.CHANGE_PASSWORD_SUCCESS,\n payload,\n});\n\nexport const changePasswordFailed = (payload) => ({\n type: USER.CHANGE_PASSWORD_FAILED,\n payload,\n});\n\nexport const clearMessage = () => ({\n type: USER.CLEAR_MESSAGE,\n});\n","export const LOGIN = {\n LOGIN: 'AUTH_LOGIN',\n LOGIN_SUCCESS: 'AUTH_LOGIN_SUCCESS',\n LOGIN_FAILED: 'AUTH_LOGIN_FAILED',\n LOGOUT: 'AUTH_LOGOUT',\n LOGOUT_SUCCESS: 'AUTH_LOGOUT_SUCCESS',\n LOGOUT_FAILED: 'AUTH_LOGOUT_FAILED',\n // google\n LOGIN_WITH_GOOGLE: 'AUTH_LOGIN_WITH_GOOGLE',\n LOGIN_WITH_GOOGLE_SUCCESS: 'AUTH_LOGIN_WITH_GOOGLE_SUCCESS',\n LOGIN_WITH_GOOGLE_FAILED: 'AUTH_LOGIN_WITH_GOOGLE_FAILED',\n\n // forgot password\n FORGOT_PASSWORD: 'AUTH_FORGOT_PASSWORD',\n FORGOT_PASSWORD_SUCCESS: 'AUTH_FORGOT_PASSWORD_SUCCESS',\n FORGOT_PASSWORD_FAILED: 'AUTH_FORGOT_PASSWORD_FAILED',\n\n // reset status\n RESET_STATUS: 'AUTH_RESET_STATUS',\n};\n","export const REGIS = {\n REGIS_STEP_1: 'REGIS_STEP_1',\n REGIS_STEP_2: 'REGIS_STEP_2',\n REGIS_STEP_3: 'REGIS_STEP_3',\n REGIS_STEP_4: 'REGIS_STEP_4',\n REGISTER: 'AUTH_REGIS',\n REGISTER_SUCCESS: 'AUTH_REGIS_SUCCESS',\n REGISTER_FAILED: 'AUTH_REGIS_FAILED',\n REGISTER_NEXT_STEP: 'AUTH_REGISTER_NEXT_STEP',\n REGISTER_PREV_STEP: 'AUTH_REGSITER_PREV_STEP',\n // google\n REGISTER_BY_GOOGLE: 'AUTH_REGISTER_BY_GOOGLE',\n REGISTER_BY_GOOGLE_SUCCESS: 'AUTH_REGISTER_BY_GOOGLE_SUCCESS',\n REGISTER_BY_GOOGLE_FAILED: 'AUTH_REGISTER_BY_GOOGLE_FAILED',\n};\n","export const CATEGORY = {\n //GET ALL CATEGORY\n GET_ALL_CATEGORY: 'LEARNING_GET_ALL_CATEGORY',\n GET_ALL_CATEGORY_SUCCESS: 'LEARNING_GET_ALL_CATEGORY_SUCCESS',\n GET_ALL_CATEGORY_FAILED: 'LEARNING_GET_ALL_CATEGORY_FAILED',\n SET_CATEGORY_ID: 'LEARNING_SET_CATEGORY_ID',\n\n //GET CATEGORY BY ID\n GET_CATEGORY_BY_ID: 'LEARNING_GET_CATEGORY_BY_ID',\n GET_CATEGORY_BY_ID_SUCCESS: 'LEARNING_GET_CATEGORY_BY_ID_SUCCESS',\n GET_CATEGORY_BY_ID_FAILED: 'LEARNING_GET_CATEGORY_BY_ID_FAILED',\n};\n","export const COURSE = {\n //GET ALL COURSE\n GET_ALL_COURSE: 'LEARNING_GET_ALL_COURSE',\n GET_ALL_COURSE_SUCCESS: 'LEARNING_ALL_GET_COURSE_SUCCESS',\n GET_ALL_COURSE_FAILED: 'LEARNING_ALL_GET_COURSE_FAILED',\n SET_COURSE_ID: 'LEARNING_SET_COURSE_ID',\n\n //GET TRENDING COURSE\n GET_TRENDING_COURSE: 'LEARNING_GET_TRENDING_COURSE',\n GET_TRENDING_COURSE_SUCCESS: 'LEARNING_TRENDING_GET_COURSE_SUCCESS',\n GET_TRENDING_COURSE_FAILED: 'LEARNING_TRENDING_GET_COURSE_FAILED',\n\n //GET COURSE BY ID\n GET_ALL_COURSE_BY_ID: 'LEARNING_GET_ALL_COURSE_BY_ID',\n GET_ALL_COURSE_BY_ID_SUCCESS: 'LEARNING_GET_ALL_COURSE_BY_ID_SUCCESS',\n GET_ALL_COURSE_BY_ID_FAILED: 'LEARNING_GET_ALL_COURSE_BY_ID_FAILED',\n\n //GET COURSE BY USER\n GET_COURSE_BY_USER: 'LEARNING_GET_COURSE_BY_USER',\n GET_COURSE_BY_USER_SUCCESS: 'LEARNING_GET_COURSE_BY_USER_SUCCESS',\n GET_COURSE_BY_USER_FAILED: 'LEARNING_GET_COURSE_BY_USER_FAILED',\n\n //GET COMMENT BY USER\n GET_ALL_COMMENT_BY_COURSE: 'LEARNING_GET_ALL_COMMENT_BY_COURSE',\n GET_ALL_COMMENT_BY_COURSE_SUCCESS:\n 'LEARNING_GET_ALL_COMMENT_BY_COURSE_SUCCESS',\n GET_ALL_COMMENT_BY_COURSE_FAILED: 'LEARNING_GET_ALL_COMMENT_BY_COURSE_FAILED',\n\n // POST COMMENT\n POST_COMMENT: 'LEARNING_POST_COMMENT',\n POST_COMMENT_SUCCESS: 'LEARNING_POST_COMMENT_SUCCESS',\n POST_COMMENT_FAILED: 'LEARNING_POST_COMMENT_FAILED',\n\n //SEARCH COURSE\n SEARCH_COURSE: 'LEARNING_SEARCH_COURSE',\n SEARCH_COURSE_SUCCESS: 'LEARNING_SEARCH_COURSE_SUCCESS',\n SEARCH_COURSE_FAILED: 'LEARNING_SEARCH_COURSE_FAILED',\n\n //GET CATEGORY BY ID\n GET_CATEGORY_BY_ID: 'LEARNING_GET_CATEGORY_BY_ID',\n GET_CATEGORY_BY_ID_SUCCESS: 'LEARNING_GET_CATEGORY_BY_ID_SUCCESS',\n GET_CATEGORY_BY_ID_FAILED: 'LEARNING_GET_CATEGORY_BY_ID_FAILED',\n\n //GET BUY COURSE\n GET_BUY_COURSE: 'LEARNING_GET_BUY_COURSE',\n GET_BUY_COURSE_SUCCESS: 'LEARNING_GET_BUY_COURSE_SUCCESS',\n GET_BUY_COURSE_FAILED: 'LEARNING_GET_BUY_COURSE_FAILED',\n COURSE_HAS_BEEN_PAID: 'LEARNING_COURSE_HAS_BEEN_PAID',\n\n //GET BUY HISTORY COURSE\n GET_BUY_HISTORY: 'LEARNING_GET_BUY_HISTORY',\n GET_BUY_HISTORY_SUCCESS: 'LEARNING_GET_BUY_HISTORY_SUCCESS',\n GET_BUY_HISTORY_FAILED: 'LEARNING_GET_BUY_HISTORY_FAILED',\n\n //GET DETAIL COURSE\n GET_DETAIL_SCORE: 'LEARNING_GET_DETAIL_SCORE',\n GET_DETAIL_SCORE_SUCCESS: 'LEARNING_GET_DETAIL_SCORE_SUCCESS',\n GET_DETAIL_SCORE_FAILED: 'LEARNING_GET_DETAIL_SCORE_FAILED',\n\n //GET CONTENT COURSE\n GET_COURSE_CONTENT: 'LEARNING_GET_COURSE_CONTENT',\n GET_COURSE_CONTENT_SUCCESS: 'LEARNING_GET_COURSE_CONTENT_SUCCESS',\n GET_COURSE_CONTENT_FAILED: 'LEARNING_GET_COURSE_CONTENT_FAILED',\n\n // SEND RATING\n SEND_RATING: 'LEARNING_SEND_RATING',\n SEND_RATING_SUCCESS: 'LEARNING_SEND_RATING_SUCCESS',\n SEND_RATING_FAILED: 'LEARNING_SEND_RATING_FAILED',\n\n // GET RATING\n GET_RATING: 'LEARNING_GET_RATING',\n GET_RATING_SUCCESS: 'LEARNING_GET_RATING_SUCCESS',\n GET_RATING_FAILED: 'LEARNING_GET_RATING_FAILED',\n\n // POST LIKE\n POST_LIKE: 'LEARNING_POST_LIKE',\n POST_LIKE_SUCCESS: 'LEARNING_POST_LIKE_SUCCESS',\n POST_LIKE_FAILED: 'LEARNING_POST_LIKE_FAILED',\n\n // DELETE LIKE\n POST_DISLIKE: 'LEARNING_POST_DISLIKE',\n POST_DISLIKE_SUCCESS: 'LEARNING_POST_DISLIKE_SUCCESS',\n POST_DISLIKE_FAILED: 'LEARNING_POST_DISLIKE_FAILED',\n\n // reset course status\n RESET_COURSE_STATUS: 'LEARNING_RESET_COURSE_STATUS',\n\n CLEAR_BUY_COURSE: 'LEARNING_CLEAR_BUY_COURSE',\n\n // PAGINATION\n BUY_HISTORY_PAGINATION: 'BUY_HISTORY_PAGINATION',\n BUY_HISTORY_LIMIT: 'BUY_HISTORY_LIMIT',\n BUY_HISTORY_SEARCH: 'BUY_HISTORY_SEARCH',\n BUY_HISTORY_STATUS: 'BUY_HISTORY_STATUS',\n};\n","export const QUIZ = {\n GET_QUIZ: 'LEARNING_GET_QUIZ',\n GET_QUIZ_SUCCESS: 'LEARNING_GET_QUIZ_SUCCESS',\n GET_QUIZ_FAILED: 'LEARNING_GET_QUIZ_FAILED',\n SET_QUIZ_ID: 'LEARNING_SET_QUIZ_ID',\n\n END_QUIZ: 'LEARNING_END_QUIZ',\n END_QUIZ_SUCCESS: 'LEARNING_END_QUIZ_SUCCESS',\n END_QUIZ_FAILED: 'LEARNING_END_QUIZ_FAILED',\n\n SET_QUIZ_TIME: 'LEARNING_SET_QUIZ_TIME',\n SET_QUIZ_TIME_REMAINING: 'LEARNING_SET_QUIZ_TIME_REMAINING',\n\n SET_USED_TIME: 'LEARNING_SET_USED_TIME',\n SET_TIME_SPENT: 'lEARNING_SET_TIME_SPENT',\n\n // get score\n GET_SCORE: 'LEARNING_GET_SCORE',\n GET_SCORE_SUCCESS: 'LEARNING_GET_SCORE_SUCCESS',\n GET_SCORE_FAILED: 'LEARNING_GET_SCORE_FAILED',\n};\n","export const EDIT_PROFILE = {\n EDIT_PROFILE: 'PROFILE_EDIT_PROFILE',\n EDIT_PROFILE_SUCCESS: 'PROFILE_EDIT_PROFILE_SUCCESS',\n EDIT_PROFILE_FAILED: 'PROFILE_EDIT_PROFILE_FAILED',\n EDIT_PHOTO: 'PROFILE_EDIT_PHOTO',\n EDIT_PHOTO_SUCCESS: 'PROFILE_EDIT_PHOTO_SUCCESS',\n EDIT_PHOTO_FAILED: 'PROFILE_EDIT_PHOTO_FAILED',\n};\n","export const USER = {\n GET_USER: 'USER_GET_USER',\n GET_USER_SUCCESS: 'USER_GET_USER_SUCCESS',\n GET_USER_FAILED: 'USER_GET_USER_FAILED',\n\n // Change password\n CHANGE_PASSWORD: 'USER_CHANGE_PASSWORD',\n CHANGE_PASSWORD_SUCCESS: 'USER_CHANGE_PASSWORD_SUCCESS',\n CHANGE_PASSWORD_FAILED: ' USER_CHANGE_PASSWORD_FAILED',\n\n // clear message\n CLEAR_MESSAGE: 'USER_CLEAR_MESSAGE',\n};\n","import normalRequest, { authCMSRequest, authEDURequest } from '../Api';\nimport qs from 'qs';\n// import Header from '../../component/header';\n// import axios from \"axios\"\n\nexport const login = (data) =>\n normalRequest.post('/api/v1/users/login?via=email', data);\n\nexport const logout = () => authCMSRequest.post('/api/v1/users/logout', {});\n\nexport const register = (data) => {\n if (data.provider !== '') {\n return normalRequest.post(\n '/api/v1/users/register?provider=' + data.provider,\n qs.stringify(data),\n {},\n );\n }\n return normalRequest.post('/api/v1/users/register?', qs.stringify(data), {});\n};\n\nexport const getUser = () => authCMSRequest.get('api/v1/users/edit', {});\n\nexport const loginGoogle = (data) =>\n normalRequest.post('/api/v1/users/login?via=google', data);\n\nexport const editProfile = (data) =>\n authCMSRequest.put('/api/v1/users/update', data, {});\n\nexport const forgotPassword = (data) =>\n normalRequest.post('/api/v1/users/forgot_password', data);\n\nexport const changePassword = (data) =>\n authCMSRequest.post('/api/v1/users/change_password', data, {});\n\nexport const editPhoto = (data) =>\n authCMSRequest.put('/api/v1/users/update', data, {});\nclass AuthService {\n async LoginByPhoneNumber(phone_number, phone_country_code) {\n const data = qs.stringify({\n phone_number,\n phone_country_code,\n });\n const response = await normalRequest\n .post('/api/v1/users/login?via=phone', data)\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n return err.response.data;\n });\n return response;\n }\n async RegisterByGoogle(email, google_id) {\n const data = qs.stringify({\n email,\n google_id,\n type: 'Consumer',\n });\n const response = await normalRequest\n .post('/api/v1/users/register?provider=google', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async EditProfile(payload) {\n // localStorage.getItem(\"token\");\n const data = qs.stringify({\n email: payload.email,\n type: 'Consumer',\n full_name: payload.full_name,\n date_of_birth: payload.date_of_birth,\n job: payload.job,\n gender: payload.gender,\n phone_number: payload.phone_number,\n phone_country_code: '+62',\n photo: payload.photo,\n address: payload.address,\n city: payload.city,\n country: 'Indonesia',\n postal_code: payload.postal_code,\n website_url: payload.website_url,\n blog_url: payload.blog_url,\n linkedin_url: payload.linkedin_url,\n });\n\n const response = await authCMSRequest\n .put('/api/v1/users/update', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n // https://wlmalaysia-cms.stagingapps.net/\n // uploads/consumer/photo/22/thumb_rizki%20fadilah_profile_picture.jpg\n // async UploadPhoto(payload){\n // const photo = qs.stringify(payload.photo);\n // const id = qs.stringify(payload.photo);\n // const response = await authCMSRequest.put('/api/v1')\n // return response;\n // }\n\n async ChangePassword(payload) {\n localStorage.getItem('token');\n const data = qs.stringify({\n old_password: payload.old_password,\n new_password: payload.new_password,\n password_confirmation: payload.password_confirmation,\n });\n\n const response = await authCMSRequest\n .post('/api/v1/users/change_password', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n return err;\n });\n return response;\n }\n async ForgotPassword(email) {\n const data = qs.stringify({\n email,\n });\n const response = await normalRequest\n .post('/api/v1/users/forgot_password', data)\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async GetCV() {\n const response = await authCMSRequest\n .get('/api/v1/cv/edit', {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async AddCV(payload) {\n localStorage.getItem('token');\n const data = qs.stringify({\n first_name: payload.first_name,\n last_name: payload.last_name,\n street_address: payload.street_address,\n city: payload.city,\n postal_code: payload.postal_code,\n phone_country_code: payload.phone_country_code,\n phone_number: payload.phone_number,\n email: payload.email,\n website: payload.website,\n blog: payload.blog,\n linkedin: payload.linkedin,\n job_applied_for: payload.job_applied_for,\n position: payload.position,\n work_types: payload.work_types,\n salary: payload.salary,\n });\n const response = await authCMSRequest\n .post('api/v1/cv', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async EditCV(payload) {\n localStorage.getItem('token');\n const data = qs.stringify({\n first_name: payload.first_name,\n last_name: payload.last_name,\n street_address: payload.street_address,\n city: payload.city,\n postal_code: payload.postal_code,\n phone_country_code: payload.phone_country_code,\n phone_number: payload.phone_number,\n email: payload.email,\n website: payload.website,\n blog: payload.blog,\n linkedin: payload.linkedin,\n job_applied_for: payload.job_applied_for,\n position: payload.position,\n work_types: payload.work_types,\n salary: payload.salary,\n });\n const response = await authCMSRequest\n .put('api/v1/cv', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async AddWorkExperience(payload) {\n localStorage.getItem('token');\n const data = qs.stringify({\n id: payload.id,\n name: payload.name,\n position: payload.position,\n from: payload.from,\n to: payload.to,\n on_going: payload.on_going,\n });\n const response = await authCMSRequest\n .post('/api/v1/work_experiences', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async EditWorkExperience(payload) {\n // localStorage.getItem(\"token\");\n const data = qs.stringify({\n id: payload.id,\n name: payload.name,\n position: payload.position,\n from: payload.from,\n to: payload.to,\n on_going: payload.on_going,\n });\n const response = await authCMSRequest\n .put('/api/v1/work_experiences', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async GetAllWorkExperience() {\n const response = await authCMSRequest\n .get('/api/v1/work_experiences/all', {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async GetEditWorkExperience(id) {\n // localStorage.setItem(\"token\");\n // var id = 19;\n // const id = qs.stringify({id: payload.id});\n const response = await authCMSRequest\n .get('/api/v1/work_experiences/edit', id, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async DeleteWorkExperience(id) {\n const response = await authCMSRequest\n .delete('/api/v1/work_experiences/' + id, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async AddEducationsTraining(payload) {\n const data = qs.stringify({\n type: payload.type,\n name: payload.name,\n department: payload.department,\n location: payload.location,\n from: payload.from,\n to: payload.to,\n on_going: payload.on_going,\n });\n\n const response = await authCMSRequest\n .post('/api/v1/educations_trainings', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async EditEducations(payload) {\n const data = qs.stringify({\n type: payload.type,\n name: payload.name,\n department: payload.department,\n location: payload.location,\n from: payload.from,\n to: payload.to,\n on_going: payload.on_going,\n });\n\n const response = await authCMSRequest\n .put('/api/v1/educations_trainings', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async GetAllEducationsTraining(payload) {\n const data = qs.stringify({\n type: payload.type,\n });\n const response = await authCMSRequest\n .get('/api/v1/educations_trainings/all', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n // // response = axios.create({\n // // headers : {\n\n // // }\n // // })\n // Request.Headers.Add(\"type\", data);\n // Response.Headers.Add(\"type\", data);\n return response;\n }\n\n async GetEditEducationsTraining() {\n const response = await authCMSRequest\n .get('/api/v1/educations_trainings/edit', {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async DeleteEducationsTraining(payload) {\n const data = qs.stringify({\n id: payload.id,\n });\n const response = await authCMSRequest\n .delete('/api/v1/educations_trainings', data, {})\n .then((res) => {\n // async Ge\n });\n return response;\n }\n\n async AddPersonalSkills(payload) {\n const data = qs.stringify({\n languages: payload.languages,\n communications: payload.communications,\n organisational_or_managerial: payload.organisational_or_managerial,\n job_related: payload.job_related,\n digital: payload.digital,\n });\n const response = await authCMSRequest\n .post('/api/v1/personal_skills', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async EditPersonalSkills(payload) {\n const data = qs.stringify({\n languages: payload.languages,\n communications: payload.communications,\n organisational_or_managerial: payload.organisational_or_managerial,\n job_related: payload.job_related,\n digital: payload.digital,\n });\n const response = await authCMSRequest\n .put('/api/v1/personal_skills', data, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async GetPersonalSkills() {\n const response = await authCMSRequest\n .get('/api/v1/personal_skills/edit', {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async GetCourse() {\n const response = await authEDURequest\n .get('/api/courses/get-course-list', {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n // async GetCourse() {\n // var axios = require('axios');\n\n // var config = {\n // method: 'get',\n // url: 'https://cors-anywhere.herokuapp.com/https://wlmalaysia-edu.stagingapps.net/api/courses/get-course-list',\n // headers: {\n // 'Authorization': 'Basic YXBpOmJvb2tpbmc=',\n // 'Cookie': 'gig_university_e_learning_session=XoXMrPB2UvOFQBcsmqCATXQTqrrdIU57OxRGb9fw'\n // }\n // };\n\n // axios(config)\n // .then(function (response) {\n // console.log(JSON.stringify(response.data));\n // })\n // .catch(function (error) {\n // console.log(error);\n // });\n // }\n}\n\nexport default new AuthService();\n","import { authCMSRequest, authEDURequest } from '../Api';\nimport qs from 'qs';\n\nconst token = localStorage.getItem('token');\n\nexport const getAllCourse = () =>\n authEDURequest.get('/api/courses/get-course-list', {});\n\nexport const getAllCategory = () =>\n authEDURequest.get('/api/category/get-category', {});\n\nexport const getTrendingCourse = () =>\n authEDURequest.get('/api/courses/best-seller', {});\n\nexport const getCourseByUser = (email) =>\n authEDURequest.get('api/courses/get-my-learning/' + email);\n\nexport const getCourseById = (id) =>\n authEDURequest.get('/api/courses/course-show/' + id);\n\nexport const getCategoryById = (id) =>\n authEDURequest.get('/api/courses/category/' + id);\n\nexport const getCommentByCourse = (id) =>\n authEDURequest.get('/api/discuss/get-comment/' + id);\n\nexport const searchCourse = (course) =>\n authEDURequest.get('/api/courses/course-search/' + course);\n\nexport const buyCourse = (id) =>\n authCMSRequest.get('/api/v1/bookings/course?' + id);\n\nexport const buyHistory = (data) =>\n authCMSRequest.get('/api/v1/bookings/history?' + qs.stringify(data));\n\nexport const getDetailScore = (data) =>\n authEDURequest.get('/api/get-detail-score?' + qs.stringify({ data }));\n\nexport const getCourseContent = (id) =>\n authEDURequest.get('/api/get-content/' + id);\n\nexport const sendComment = (data) =>\n authEDURequest.post('/api/discuss/add-comment', data);\n\nexport const sendRating = (data) =>\n authEDURequest.patch('/api/courses/update-rating', data);\n\nexport const getRating = (id) =>\n authEDURequest.get(`/api/courses/get-rating/${id}`);\n\nexport const postLikeComment = (data) =>\n authEDURequest.post('/api/discuss/add-liked', data);\n\nexport const deleteLikeComment = (data) =>\n authEDURequest.delete('/api/discuss/delete-dislike', qs.stringify({ data }));\n\nclass CourseService {\n async buyCourses(course_id) {\n const data = { course_id };\n console.log('encodeURIComponent', encodeURIComponent(course_id));\n const response = await authCMSRequest\n .get('/api/v1/bookings/course', encodeURIComponent(course_id))\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async getCourseById(id) {\n const response = await authEDURequest\n .get('/api/courses/course-show/' + id)\n .then((res) => {\n return res?.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async getUsersCourse(email) {\n const response = await authEDURequest\n .get('/api/courses/get-my-learning/' + email)\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async GetAllCourse() {\n const response = await authEDURequest\n .get('/api/courses/get-course-list', {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async SearchCourse(course) {\n const response = await authEDURequest\n .get('/api/courses/course-search/' + course, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async GetBanner() {\n const response = await authEDURequest\n .get('api/banner/get-all-banner', {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n\n async GetAllCategory() {\n const response = await authEDURequest\n .get('/api/category/get-category', {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n return err;\n });\n return response;\n }\n\n async GetCategoryById(id) {\n const response = await authEDURequest\n .get('/api/courses/category/' + id, {})\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n return err;\n });\n return response;\n }\n async getCourseContent(id) {\n const response = await authEDURequest\n .get('/api/get-content/' + id)\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n return err;\n });\n return response;\n }\n}\n\nexport default new CourseService();\n","import { authEDURequest } from '../Api';\n\nexport const postAnswer = (data) =>\n authEDURequest.post('/api/add-quiz', data, {});\n\nexport const getQuizById = (id) =>\n authEDURequest.get('/api/quiz/get-quiz/' + id);\n\nexport const getScore = (data) => authEDURequest.get('/api/get-score?' + data);\n\nclass QuizService {\n async getQuizById(id) {\n const response = await authEDURequest\n .get('/api/quiz/get-quiz/' + id)\n .then((res) => {\n return res.data;\n })\n .catch((err) => {\n console.log(err);\n });\n return response;\n }\n}\n\nexport default new QuizService();\n","import { authCMSRequest } from '../Api';\nimport qs from 'qs';\n\nexport const getVoucher = (data) =>\n authCMSRequest.get('/api/v1/vouchers/history?' + qs.stringify(data), {});\n\nexport const requestRedeemVoucher = (data) =>\n authCMSRequest.post('/api/v1/bookings/apply_voucher', qs.stringify(data), {\n validateStatus: (status) => status >= 200 && status < 300,\n });\n","export default function scrollToTop() {\n window.scrollTo({\n top: 0,\n behavior: 'smooth',\n });\n}\n","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n var rect = element.getBoundingClientRect();\n var scaleX = round(rect.width) / element.offsetWidth || 1;\n var scaleY = round(rect.height) / element.offsetHeight || 1;\n return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n if (isFixed === void 0) {\n isFixed = false;\n }\n\n var isOffsetParentAnElement = isHTMLElement(offsetParent);\n var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n var documentElement = getDocumentElement(offsetParent);\n var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled);\n var scroll = {\n scrollLeft: 0,\n scrollTop: 0\n };\n var offsets = {\n x: 0,\n y: 0\n };\n\n if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n isScrollParent(documentElement)) {\n scroll = getNodeScroll(offsetParent);\n }\n\n if (isHTMLElement(offsetParent)) {\n offsets = getBoundingClientRect(offsetParent, true);\n offsets.x += offsetParent.clientLeft;\n offsets.y += offsetParent.clientTop;\n } else if (documentElement) {\n offsets.x = getWindowScrollBarX(documentElement);\n }\n }\n\n return {\n x: rect.left + scroll.scrollLeft - offsets.x,\n y: rect.top + scroll.scrollTop - offsets.y,\n width: rect.width,\n height: rect.height\n };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n if (node === getWindow(node) || !isHTMLElement(node)) {\n return getWindowScroll(node);\n } else {\n return getHTMLElementScroll(node);\n }\n}","export default function getHTMLElementScroll(element) {\n return {\n scrollLeft: element.scrollLeft,\n scrollTop: element.scrollTop\n };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n var map = new Map();\n var visited = new Set();\n var result = [];\n modifiers.forEach(function (modifier) {\n map.set(modifier.name, modifier);\n }); // On visiting object, check for its dependencies and visit them recursively\n\n function sort(modifier) {\n visited.add(modifier.name);\n var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n requires.forEach(function (dep) {\n if (!visited.has(dep)) {\n var depModifier = map.get(dep);\n\n if (depModifier) {\n sort(depModifier);\n }\n }\n });\n result.push(modifier);\n }\n\n modifiers.forEach(function (modifier) {\n if (!visited.has(modifier.name)) {\n // check for visited object\n sort(modifier);\n }\n });\n return result;\n}\n\nexport default function orderModifiers(modifiers) {\n // order based on dependencies\n var orderedModifiers = order(modifiers); // order based on phase\n\n return modifierPhases.reduce(function (acc, phase) {\n return acc.concat(orderedModifiers.filter(function (modifier) {\n return modifier.phase === phase;\n }));\n }, []);\n}","export default function debounce(fn) {\n var pending;\n return function () {\n if (!pending) {\n pending = new Promise(function (resolve) {\n Promise.resolve().then(function () {\n pending = undefined;\n resolve(fn());\n });\n });\n }\n\n return pending;\n };\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport getComputedStyle from \"./dom-utils/getComputedStyle.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport validateModifiers from \"./utils/validateModifiers.js\";\nimport uniqueBy from \"./utils/uniqueBy.js\";\nimport getBasePlacement from \"./utils/getBasePlacement.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nimport { auto } from \"./enums.js\";\nvar INVALID_ELEMENT_ERROR = 'Popper: Invalid reference or popper argument provided. They must be either a DOM element or virtual element.';\nvar INFINITE_LOOP_ERROR = 'Popper: An infinite loop in the modifiers cycle has been detected! The cycle has been interrupted to prevent a browser crash.';\nvar DEFAULT_OPTIONS = {\n placement: 'bottom',\n modifiers: [],\n strategy: 'absolute'\n};\n\nfunction areValidElements() {\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n\n return !args.some(function (element) {\n return !(element && typeof element.getBoundingClientRect === 'function');\n });\n}\n\nexport function popperGenerator(generatorOptions) {\n if (generatorOptions === void 0) {\n generatorOptions = {};\n }\n\n var _generatorOptions = generatorOptions,\n _generatorOptions$def = _generatorOptions.defaultModifiers,\n defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n _generatorOptions$def2 = _generatorOptions.defaultOptions,\n defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n return function createPopper(reference, popper, options) {\n if (options === void 0) {\n options = defaultOptions;\n }\n\n var state = {\n placement: 'bottom',\n orderedModifiers: [],\n options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n modifiersData: {},\n elements: {\n reference: reference,\n popper: popper\n },\n attributes: {},\n styles: {}\n };\n var effectCleanupFns = [];\n var isDestroyed = false;\n var instance = {\n state: state,\n setOptions: function setOptions(setOptionsAction) {\n var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n cleanupModifierEffects();\n state.options = Object.assign({}, defaultOptions, state.options, options);\n state.scrollParents = {\n reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n popper: listScrollParents(popper)\n }; // Orders the modifiers based on their dependencies and `phase`\n // properties\n\n var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n state.orderedModifiers = orderedModifiers.filter(function (m) {\n return m.enabled;\n }); // Validate the provided modifiers so that the consumer will get warned\n // if one of the modifiers is invalid for any reason\n\n if (process.env.NODE_ENV !== \"production\") {\n var modifiers = uniqueBy([].concat(orderedModifiers, state.options.modifiers), function (_ref) {\n var name = _ref.name;\n return name;\n });\n validateModifiers(modifiers);\n\n if (getBasePlacement(state.options.placement) === auto) {\n var flipModifier = state.orderedModifiers.find(function (_ref2) {\n var name = _ref2.name;\n return name === 'flip';\n });\n\n if (!flipModifier) {\n console.error(['Popper: \"auto\" placements require the \"flip\" modifier be', 'present and enabled to work.'].join(' '));\n }\n }\n\n var _getComputedStyle = getComputedStyle(popper),\n marginTop = _getComputedStyle.marginTop,\n marginRight = _getComputedStyle.marginRight,\n marginBottom = _getComputedStyle.marginBottom,\n marginLeft = _getComputedStyle.marginLeft; // We no longer take into account `margins` on the popper, and it can\n // cause bugs with positioning, so we'll warn the consumer\n\n\n if ([marginTop, marginRight, marginBottom, marginLeft].some(function (margin) {\n return parseFloat(margin);\n })) {\n console.warn(['Popper: CSS \"margin\" styles cannot be used to apply padding', 'between the popper and its reference element or boundary.', 'To replicate margin, use the `offset` modifier, as well as', 'the `padding` option in the `preventOverflow` and `flip`', 'modifiers.'].join(' '));\n }\n }\n\n runModifierEffects();\n return instance.update();\n },\n // Sync update – it will always be executed, even if not necessary. This\n // is useful for low frequency updates where sync behavior simplifies the\n // logic.\n // For high frequency updates (e.g. `resize` and `scroll` events), always\n // prefer the async Popper#update method\n forceUpdate: function forceUpdate() {\n if (isDestroyed) {\n return;\n }\n\n var _state$elements = state.elements,\n reference = _state$elements.reference,\n popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n // anymore\n\n if (!areValidElements(reference, popper)) {\n if (process.env.NODE_ENV !== \"production\") {\n console.error(INVALID_ELEMENT_ERROR);\n }\n\n return;\n } // Store the reference and popper rects to be read by modifiers\n\n\n state.rects = {\n reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n popper: getLayoutRect(popper)\n }; // Modifiers have the ability to reset the current update cycle. The\n // most common use case for this is the `flip` modifier changing the\n // placement, which then needs to re-run all the modifiers, because the\n // logic was previously ran for the previous placement and is therefore\n // stale/incorrect\n\n state.reset = false;\n state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n // is filled with the initial data specified by the modifier. This means\n // it doesn't persist and is fresh on each update.\n // To ensure persistent data, use `${name}#persistent`\n\n state.orderedModifiers.forEach(function (modifier) {\n return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n });\n var __debug_loops__ = 0;\n\n for (var index = 0; index < state.orderedModifiers.length; index++) {\n if (process.env.NODE_ENV !== \"production\") {\n __debug_loops__ += 1;\n\n if (__debug_loops__ > 100) {\n console.error(INFINITE_LOOP_ERROR);\n break;\n }\n }\n\n if (state.reset === true) {\n state.reset = false;\n index = -1;\n continue;\n }\n\n var _state$orderedModifie = state.orderedModifiers[index],\n fn = _state$orderedModifie.fn,\n _state$orderedModifie2 = _state$orderedModifie.options,\n _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n name = _state$orderedModifie.name;\n\n if (typeof fn === 'function') {\n state = fn({\n state: state,\n options: _options,\n name: name,\n instance: instance\n }) || state;\n }\n }\n },\n // Async and optimistically optimized update – it will not be executed if\n // not necessary (debounced to run at most once-per-tick)\n update: debounce(function () {\n return new Promise(function (resolve) {\n instance.forceUpdate();\n resolve(state);\n });\n }),\n destroy: function destroy() {\n cleanupModifierEffects();\n isDestroyed = true;\n }\n };\n\n if (!areValidElements(reference, popper)) {\n if (process.env.NODE_ENV !== \"production\") {\n console.error(INVALID_ELEMENT_ERROR);\n }\n\n return instance;\n }\n\n instance.setOptions(options).then(function (state) {\n if (!isDestroyed && options.onFirstUpdate) {\n options.onFirstUpdate(state);\n }\n }); // Modifiers have the ability to execute arbitrary code before the first\n // update cycle runs. They will be executed in the same order as the update\n // cycle. This is useful when a modifier adds some persistent data that\n // other modifiers need to use, but the modifier is run after the dependent\n // one.\n\n function runModifierEffects() {\n state.orderedModifiers.forEach(function (_ref3) {\n var name = _ref3.name,\n _ref3$options = _ref3.options,\n options = _ref3$options === void 0 ? {} : _ref3$options,\n effect = _ref3.effect;\n\n if (typeof effect === 'function') {\n var cleanupFn = effect({\n state: state,\n name: name,\n instance: instance,\n options: options\n });\n\n var noopFn = function noopFn() {};\n\n effectCleanupFns.push(cleanupFn || noopFn);\n }\n });\n }\n\n function cleanupModifierEffects() {\n effectCleanupFns.forEach(function (fn) {\n return fn();\n });\n effectCleanupFns = [];\n }\n\n return instance;\n };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function mergeByName(modifiers) {\n var merged = modifiers.reduce(function (merged, current) {\n var existing = merged[current.name];\n merged[current.name] = existing ? Object.assign({}, existing, current, {\n options: Object.assign({}, existing.options, current.options),\n data: Object.assign({}, existing.data, current.data)\n }) : current;\n return merged;\n }, {}); // IE11 does not support Object.values\n\n return Object.keys(merged).map(function (key) {\n return merged[key];\n });\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n if (parent.contains(child)) {\n return true;\n } // then fallback to custom implementation with Shadow DOM support\n else if (rootNode && isShadowRoot(rootNode)) {\n var next = child;\n\n do {\n if (next && parent.isSameNode(next)) {\n return true;\n } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n next = next.parentNode || next.host;\n } while (next);\n } // Give up, the result is false\n\n\n return false;\n}","import { isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nexport default function getBoundingClientRect(element, includeScale) {\n if (includeScale === void 0) {\n includeScale = false;\n }\n\n var rect = element.getBoundingClientRect();\n var scaleX = 1;\n var scaleY = 1;\n\n if (isHTMLElement(element) && includeScale) {\n var offsetHeight = element.offsetHeight;\n var offsetWidth = element.offsetWidth; // Do not attempt to divide by 0, otherwise we get `Infinity` as scale\n // Fallback to 1 in case both values are `0`\n\n if (offsetWidth > 0) {\n scaleX = round(rect.width) / offsetWidth || 1;\n }\n\n if (offsetHeight > 0) {\n scaleY = round(rect.height) / offsetHeight || 1;\n }\n }\n\n return {\n width: rect.width / scaleX,\n height: rect.height / scaleY,\n top: rect.top / scaleY,\n right: rect.right / scaleX,\n bottom: rect.bottom / scaleY,\n left: rect.left / scaleX,\n x: rect.left / scaleX,\n y: rect.top / scaleY\n };\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n return getWindow(element).getComputedStyle(element);\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n element.document) || window.document).documentElement;\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n var width = element.offsetWidth;\n var height = element.offsetHeight;\n\n if (Math.abs(clientRect.width - width) <= 1) {\n width = clientRect.width;\n }\n\n if (Math.abs(clientRect.height - height) <= 1) {\n height = clientRect.height;\n }\n\n return {\n x: element.offsetLeft,\n y: element.offsetTop,\n width: width,\n height: height\n };\n}","export default function getNodeName(element) {\n return element ? (element.nodeName || '').toLowerCase() : null;\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\n\nfunction getTrueOffsetParent(element) {\n if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n getComputedStyle(element).position === 'fixed') {\n return null;\n }\n\n return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n var isFirefox = navigator.userAgent.toLowerCase().indexOf('firefox') !== -1;\n var isIE = navigator.userAgent.indexOf('Trident') !== -1;\n\n if (isIE && isHTMLElement(element)) {\n // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n var elementCss = getComputedStyle(element);\n\n if (elementCss.position === 'fixed') {\n return null;\n }\n }\n\n var currentNode = getParentNode(element);\n\n if (isShadowRoot(currentNode)) {\n currentNode = currentNode.host;\n }\n\n while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n // create a containing block.\n // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n return currentNode;\n } else {\n currentNode = currentNode.parentNode;\n }\n }\n\n return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n var window = getWindow(element);\n var offsetParent = getTrueOffsetParent(element);\n\n while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n offsetParent = getTrueOffsetParent(offsetParent);\n }\n\n if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n return window;\n }\n\n return offsetParent || getContainingBlock(element) || window;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n if (getNodeName(element) === 'html') {\n return element;\n }\n\n return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n // $FlowFixMe[incompatible-return]\n // $FlowFixMe[prop-missing]\n element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n element.parentNode || ( // DOM Element detected\n isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n getDocumentElement(element) // fallback\n\n );\n}","export default function getWindow(node) {\n if (node == null) {\n return window;\n }\n\n if (node.toString() !== '[object Window]') {\n var ownerDocument = node.ownerDocument;\n return ownerDocument ? ownerDocument.defaultView || window : window;\n }\n\n return node;\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n var win = getWindow(node);\n var scrollLeft = win.pageXOffset;\n var scrollTop = win.pageYOffset;\n return {\n scrollLeft: scrollLeft,\n scrollTop: scrollTop\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n // If has a CSS width greater than the viewport, then this will be\n // incorrect for RTL.\n // Popper 1 is broken in this case and never had a bug report so let's assume\n // it's not an issue. I don't think anyone ever specifies width on \n // anyway.\n // Browsers where the left scrollbar doesn't cause an issue report `0` for\n // this (e.g. Edge 2019, IE11, Safari)\n return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n var OwnElement = getWindow(node).Element;\n return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n var OwnElement = getWindow(node).HTMLElement;\n return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n // IE 11 has no ShadowRoot\n if (typeof ShadowRoot === 'undefined') {\n return false;\n }\n\n var OwnElement = getWindow(node).ShadowRoot;\n return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n // Firefox wants us to check `-x` and `-y` variations as well\n var _getComputedStyle = getComputedStyle(element),\n overflow = _getComputedStyle.overflow,\n overflowX = _getComputedStyle.overflowX,\n overflowY = _getComputedStyle.overflowY;\n\n return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return node.ownerDocument.body;\n }\n\n if (isHTMLElement(node) && isScrollParent(node)) {\n return node;\n }\n\n return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n var _element$ownerDocumen;\n\n if (list === void 0) {\n list = [];\n }\n\n var scrollParent = getScrollParent(element);\n var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n var win = getWindow(scrollParent);\n var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n var updatedList = list.concat(target);\n return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n updatedList.concat(listScrollParents(getParentNode(target)));\n}","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n var state = _ref.state;\n Object.keys(state.elements).forEach(function (name) {\n var style = state.styles[name] || {};\n var attributes = state.attributes[name] || {};\n var element = state.elements[name]; // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n } // Flow doesn't support to extend this property, but it's the most\n // effective way to apply styles to an HTMLElement\n // $FlowFixMe[cannot-write]\n\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (name) {\n var value = attributes[name];\n\n if (value === false) {\n element.removeAttribute(name);\n } else {\n element.setAttribute(name, value === true ? '' : value);\n }\n });\n });\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state;\n var initialStyles = {\n popper: {\n position: state.options.strategy,\n left: '0',\n top: '0',\n margin: '0'\n },\n arrow: {\n position: 'absolute'\n },\n reference: {}\n };\n Object.assign(state.elements.popper.style, initialStyles.popper);\n state.styles = initialStyles;\n\n if (state.elements.arrow) {\n Object.assign(state.elements.arrow.style, initialStyles.arrow);\n }\n\n return function () {\n Object.keys(state.elements).forEach(function (name) {\n var element = state.elements[name];\n var attributes = state.attributes[name] || {};\n var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n var style = styleProperties.reduce(function (style, property) {\n style[property] = '';\n return style;\n }, {}); // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n }\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (attribute) {\n element.removeAttribute(attribute);\n });\n });\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'applyStyles',\n enabled: true,\n phase: 'write',\n fn: applyStyles,\n effect: effect,\n requires: ['computeStyles']\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n placement: state.placement\n })) : padding;\n return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n var _state$modifiersData$;\n\n var state = _ref.state,\n name = _ref.name,\n options = _ref.options;\n var arrowElement = state.elements.arrow;\n var popperOffsets = state.modifiersData.popperOffsets;\n var basePlacement = getBasePlacement(state.placement);\n var axis = getMainAxisFromPlacement(basePlacement);\n var isVertical = [left, right].indexOf(basePlacement) >= 0;\n var len = isVertical ? 'height' : 'width';\n\n if (!arrowElement || !popperOffsets) {\n return;\n }\n\n var paddingObject = toPaddingObject(options.padding, state);\n var arrowRect = getLayoutRect(arrowElement);\n var minProp = axis === 'y' ? top : left;\n var maxProp = axis === 'y' ? bottom : right;\n var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n var arrowOffsetParent = getOffsetParent(arrowElement);\n var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n // outside of the popper bounds\n\n var min = paddingObject[minProp];\n var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n var axisProp = axis;\n state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state,\n options = _ref2.options;\n var _options$element = options.element,\n arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n if (arrowElement == null) {\n return;\n } // CSS selector\n\n\n if (typeof arrowElement === 'string') {\n arrowElement = state.elements.popper.querySelector(arrowElement);\n\n if (!arrowElement) {\n return;\n }\n }\n\n if (process.env.NODE_ENV !== \"production\") {\n if (!isHTMLElement(arrowElement)) {\n console.error(['Popper: \"arrow\" element must be an HTMLElement (not an SVGElement).', 'To use an SVG arrow, wrap it in an HTMLElement that will be used as', 'the arrow.'].join(' '));\n }\n }\n\n if (!contains(state.elements.popper, arrowElement)) {\n if (process.env.NODE_ENV !== \"production\") {\n console.error(['Popper: \"arrow\" modifier\\'s `element` must be a child of the popper', 'element.'].join(' '));\n }\n\n return;\n }\n\n state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'arrow',\n enabled: true,\n phase: 'main',\n fn: arrow,\n effect: effect,\n requires: ['popperOffsets'],\n requiresIfExists: ['preventOverflow']\n};","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n top: 'auto',\n right: 'auto',\n bottom: 'auto',\n left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref) {\n var x = _ref.x,\n y = _ref.y;\n var win = window;\n var dpr = win.devicePixelRatio || 1;\n return {\n x: round(x * dpr) / dpr || 0,\n y: round(y * dpr) / dpr || 0\n };\n}\n\nexport function mapToStyles(_ref2) {\n var _Object$assign2;\n\n var popper = _ref2.popper,\n popperRect = _ref2.popperRect,\n placement = _ref2.placement,\n variation = _ref2.variation,\n offsets = _ref2.offsets,\n position = _ref2.position,\n gpuAcceleration = _ref2.gpuAcceleration,\n adaptive = _ref2.adaptive,\n roundOffsets = _ref2.roundOffsets,\n isFixed = _ref2.isFixed;\n var _offsets$x = offsets.x,\n x = _offsets$x === void 0 ? 0 : _offsets$x,\n _offsets$y = offsets.y,\n y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n x: x,\n y: y\n }) : {\n x: x,\n y: y\n };\n\n x = _ref3.x;\n y = _ref3.y;\n var hasX = offsets.hasOwnProperty('x');\n var hasY = offsets.hasOwnProperty('y');\n var sideX = left;\n var sideY = top;\n var win = window;\n\n if (adaptive) {\n var offsetParent = getOffsetParent(popper);\n var heightProp = 'clientHeight';\n var widthProp = 'clientWidth';\n\n if (offsetParent === getWindow(popper)) {\n offsetParent = getDocumentElement(popper);\n\n if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n heightProp = 'scrollHeight';\n widthProp = 'scrollWidth';\n }\n } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n offsetParent = offsetParent;\n\n if (placement === top || (placement === left || placement === right) && variation === end) {\n sideY = bottom;\n var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n offsetParent[heightProp];\n y -= offsetY - popperRect.height;\n y *= gpuAcceleration ? 1 : -1;\n }\n\n if (placement === left || (placement === top || placement === bottom) && variation === end) {\n sideX = right;\n var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n offsetParent[widthProp];\n x -= offsetX - popperRect.width;\n x *= gpuAcceleration ? 1 : -1;\n }\n }\n\n var commonStyles = Object.assign({\n position: position\n }, adaptive && unsetSides);\n\n var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n x: x,\n y: y\n }) : {\n x: x,\n y: y\n };\n\n x = _ref4.x;\n y = _ref4.y;\n\n if (gpuAcceleration) {\n var _Object$assign;\n\n return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n }\n\n return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n var state = _ref5.state,\n options = _ref5.options;\n var _options$gpuAccelerat = options.gpuAcceleration,\n gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n _options$adaptive = options.adaptive,\n adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n _options$roundOffsets = options.roundOffsets,\n roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n\n if (process.env.NODE_ENV !== \"production\") {\n var transitionProperty = getComputedStyle(state.elements.popper).transitionProperty || '';\n\n if (adaptive && ['transform', 'top', 'right', 'bottom', 'left'].some(function (property) {\n return transitionProperty.indexOf(property) >= 0;\n })) {\n console.warn(['Popper: Detected CSS transitions on at least one of the following', 'CSS properties: \"transform\", \"top\", \"right\", \"bottom\", \"left\".', '\\n\\n', 'Disable the \"computeStyles\" modifier\\'s `adaptive` option to allow', 'for smooth transitions, or remove these properties from the CSS', 'transition declaration on the popper element if only transitioning', 'opacity or background-color for example.', '\\n\\n', 'We recommend using the popper element as a wrapper around an inner', 'element that can have any CSS property transitioned for animations.'].join(' '));\n }\n }\n\n var commonStyles = {\n placement: getBasePlacement(state.placement),\n variation: getVariation(state.placement),\n popper: state.elements.popper,\n popperRect: state.rects.popper,\n gpuAcceleration: gpuAcceleration,\n isFixed: state.options.strategy === 'fixed'\n };\n\n if (state.modifiersData.popperOffsets != null) {\n state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.popperOffsets,\n position: state.options.strategy,\n adaptive: adaptive,\n roundOffsets: roundOffsets\n })));\n }\n\n if (state.modifiersData.arrow != null) {\n state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.arrow,\n position: 'absolute',\n adaptive: false,\n roundOffsets: roundOffsets\n })));\n }\n\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-placement': state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'computeStyles',\n enabled: true,\n phase: 'beforeWrite',\n fn: computeStyles,\n data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n passive: true\n};\n\nfunction effect(_ref) {\n var state = _ref.state,\n instance = _ref.instance,\n options = _ref.options;\n var _options$scroll = options.scroll,\n scroll = _options$scroll === void 0 ? true : _options$scroll,\n _options$resize = options.resize,\n resize = _options$resize === void 0 ? true : _options$resize;\n var window = getWindow(state.elements.popper);\n var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.addEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.addEventListener('resize', instance.update, passive);\n }\n\n return function () {\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.removeEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.removeEventListener('resize', instance.update, passive);\n }\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'eventListeners',\n enabled: true,\n phase: 'write',\n fn: function fn() {},\n effect: effect,\n data: {}\n};","var hash = {\n left: 'right',\n right: 'left',\n bottom: 'top',\n top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n return placement.replace(/left|right|bottom|top/g, function (matched) {\n return hash[matched];\n });\n}","var hash = {\n start: 'end',\n end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n return placement.replace(/start|end/g, function (matched) {\n return hash[matched];\n });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n if (getBasePlacement(placement) === auto) {\n return [];\n }\n\n var oppositePlacement = getOppositePlacement(placement);\n return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n\n if (state.modifiersData[name]._skip) {\n return;\n }\n\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n specifiedFallbackPlacements = options.fallbackPlacements,\n padding = options.padding,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n _options$flipVariatio = options.flipVariations,\n flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n allowedAutoPlacements = options.allowedAutoPlacements;\n var preferredPlacement = state.options.placement;\n var basePlacement = getBasePlacement(preferredPlacement);\n var isBasePlacement = basePlacement === preferredPlacement;\n var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n flipVariations: flipVariations,\n allowedAutoPlacements: allowedAutoPlacements\n }) : placement);\n }, []);\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var checksMap = new Map();\n var makeFallbackChecks = true;\n var firstFittingPlacement = placements[0];\n\n for (var i = 0; i < placements.length; i++) {\n var placement = placements[i];\n\n var _basePlacement = getBasePlacement(placement);\n\n var isStartVariation = getVariation(placement) === start;\n var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n var len = isVertical ? 'width' : 'height';\n var overflow = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n altBoundary: altBoundary,\n padding: padding\n });\n var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n if (referenceRect[len] > popperRect[len]) {\n mainVariationSide = getOppositePlacement(mainVariationSide);\n }\n\n var altVariationSide = getOppositePlacement(mainVariationSide);\n var checks = [];\n\n if (checkMainAxis) {\n checks.push(overflow[_basePlacement] <= 0);\n }\n\n if (checkAltAxis) {\n checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n }\n\n if (checks.every(function (check) {\n return check;\n })) {\n firstFittingPlacement = placement;\n makeFallbackChecks = false;\n break;\n }\n\n checksMap.set(placement, checks);\n }\n\n if (makeFallbackChecks) {\n // `2` may be desired in some cases – research later\n var numberOfChecks = flipVariations ? 3 : 1;\n\n var _loop = function _loop(_i) {\n var fittingPlacement = placements.find(function (placement) {\n var checks = checksMap.get(placement);\n\n if (checks) {\n return checks.slice(0, _i).every(function (check) {\n return check;\n });\n }\n });\n\n if (fittingPlacement) {\n firstFittingPlacement = fittingPlacement;\n return \"break\";\n }\n };\n\n for (var _i = numberOfChecks; _i > 0; _i--) {\n var _ret = _loop(_i);\n\n if (_ret === \"break\") break;\n }\n }\n\n if (state.placement !== firstFittingPlacement) {\n state.modifiersData[name]._skip = true;\n state.placement = firstFittingPlacement;\n state.reset = true;\n }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'flip',\n enabled: true,\n phase: 'main',\n fn: flip,\n requiresIfExists: ['offset'],\n data: {\n _skip: false\n }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n placement = _options.placement,\n boundary = _options.boundary,\n rootBoundary = _options.rootBoundary,\n padding = _options.padding,\n flipVariations = _options.flipVariations,\n _options$allowedAutoP = _options.allowedAutoPlacements,\n allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n var variation = getVariation(placement);\n var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n return getVariation(placement) === variation;\n }) : basePlacements;\n var allowedPlacements = placements.filter(function (placement) {\n return allowedAutoPlacements.indexOf(placement) >= 0;\n });\n\n if (allowedPlacements.length === 0) {\n allowedPlacements = placements;\n\n if (process.env.NODE_ENV !== \"production\") {\n console.error(['Popper: The `allowedAutoPlacements` option did not allow any', 'placements. Ensure the `placement` option matches the variation', 'of the allowed placements.', 'For example, \"auto\" cannot be used to allow \"bottom-start\".', 'Use \"auto-start\" instead.'].join(' '));\n }\n } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n var overflows = allowedPlacements.reduce(function (acc, placement) {\n acc[placement] = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding\n })[getBasePlacement(placement)];\n return acc;\n }, {});\n return Object.keys(overflows).sort(function (a, b) {\n return overflows[a] - overflows[b];\n });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n if (preventedOffsets === void 0) {\n preventedOffsets = {\n x: 0,\n y: 0\n };\n }\n\n return {\n top: overflow.top - rect.height - preventedOffsets.y,\n right: overflow.right - rect.width + preventedOffsets.x,\n bottom: overflow.bottom - rect.height + preventedOffsets.y,\n left: overflow.left - rect.width - preventedOffsets.x\n };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n return [top, right, bottom, left].some(function (side) {\n return overflow[side] >= 0;\n });\n}\n\nfunction hide(_ref) {\n var state = _ref.state,\n name = _ref.name;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var preventedOffsets = state.modifiersData.preventOverflow;\n var referenceOverflow = detectOverflow(state, {\n elementContext: 'reference'\n });\n var popperAltOverflow = detectOverflow(state, {\n altBoundary: true\n });\n var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n state.modifiersData[name] = {\n referenceClippingOffsets: referenceClippingOffsets,\n popperEscapeOffsets: popperEscapeOffsets,\n isReferenceHidden: isReferenceHidden,\n hasPopperEscaped: hasPopperEscaped\n };\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-reference-hidden': isReferenceHidden,\n 'data-popper-escaped': hasPopperEscaped\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'hide',\n enabled: true,\n phase: 'main',\n requiresIfExists: ['preventOverflow'],\n fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n var basePlacement = getBasePlacement(placement);\n var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n placement: placement\n })) : offset,\n skidding = _ref[0],\n distance = _ref[1];\n\n skidding = skidding || 0;\n distance = (distance || 0) * invertDistance;\n return [left, right].indexOf(basePlacement) >= 0 ? {\n x: distance,\n y: skidding\n } : {\n x: skidding,\n y: distance\n };\n}\n\nfunction offset(_ref2) {\n var state = _ref2.state,\n options = _ref2.options,\n name = _ref2.name;\n var _options$offset = options.offset,\n offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n var data = placements.reduce(function (acc, placement) {\n acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n return acc;\n }, {});\n var _data$state$placement = data[state.placement],\n x = _data$state$placement.x,\n y = _data$state$placement.y;\n\n if (state.modifiersData.popperOffsets != null) {\n state.modifiersData.popperOffsets.x += x;\n state.modifiersData.popperOffsets.y += y;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'offset',\n enabled: true,\n phase: 'main',\n requires: ['popperOffsets'],\n fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n var state = _ref.state,\n name = _ref.name;\n // Offsets are the actual position the popper needs to have to be\n // properly positioned near its reference element\n // This is the most basic placement, and will be adjusted by\n // the modifiers in the next step\n state.modifiersData[name] = computeOffsets({\n reference: state.rects.reference,\n element: state.rects.popper,\n strategy: 'absolute',\n placement: state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'popperOffsets',\n enabled: true,\n phase: 'read',\n fn: popperOffsets,\n data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n padding = options.padding,\n _options$tether = options.tether,\n tether = _options$tether === void 0 ? true : _options$tether,\n _options$tetherOffset = options.tetherOffset,\n tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n var overflow = detectOverflow(state, {\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n altBoundary: altBoundary\n });\n var basePlacement = getBasePlacement(state.placement);\n var variation = getVariation(state.placement);\n var isBasePlacement = !variation;\n var mainAxis = getMainAxisFromPlacement(basePlacement);\n var altAxis = getAltAxis(mainAxis);\n var popperOffsets = state.modifiersData.popperOffsets;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n placement: state.placement\n })) : tetherOffset;\n var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n mainAxis: tetherOffsetValue,\n altAxis: tetherOffsetValue\n } : Object.assign({\n mainAxis: 0,\n altAxis: 0\n }, tetherOffsetValue);\n var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n var data = {\n x: 0,\n y: 0\n };\n\n if (!popperOffsets) {\n return;\n }\n\n if (checkMainAxis) {\n var _offsetModifierState$;\n\n var mainSide = mainAxis === 'y' ? top : left;\n var altSide = mainAxis === 'y' ? bottom : right;\n var len = mainAxis === 'y' ? 'height' : 'width';\n var offset = popperOffsets[mainAxis];\n var min = offset + overflow[mainSide];\n var max = offset - overflow[altSide];\n var additive = tether ? -popperRect[len] / 2 : 0;\n var minLen = variation === start ? referenceRect[len] : popperRect[len];\n var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n // outside the reference bounds\n\n var arrowElement = state.elements.arrow;\n var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n width: 0,\n height: 0\n };\n var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n var arrowPaddingMin = arrowPaddingObject[mainSide];\n var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n // to include its full size in the calculation. If the reference is small\n // and near the edge of a boundary, the popper can overflow even if the\n // reference is not overflowing as well (e.g. virtual elements with no\n // width or height)\n\n var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n var tetherMax = offset + maxOffset - offsetModifierValue;\n var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n popperOffsets[mainAxis] = preventedOffset;\n data[mainAxis] = preventedOffset - offset;\n }\n\n if (checkAltAxis) {\n var _offsetModifierState$2;\n\n var _mainSide = mainAxis === 'x' ? top : left;\n\n var _altSide = mainAxis === 'x' ? bottom : right;\n\n var _offset = popperOffsets[altAxis];\n\n var _len = altAxis === 'y' ? 'height' : 'width';\n\n var _min = _offset + overflow[_mainSide];\n\n var _max = _offset - overflow[_altSide];\n\n var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n popperOffsets[altAxis] = _preventedOffset;\n data[altAxis] = _preventedOffset - _offset;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'preventOverflow',\n enabled: true,\n phase: 'main',\n fn: preventOverflow,\n requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n return axis === 'x' ? 'y' : 'x';\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n var reference = _ref.reference,\n element = _ref.element,\n placement = _ref.placement;\n var basePlacement = placement ? getBasePlacement(placement) : null;\n var variation = placement ? getVariation(placement) : null;\n var commonX = reference.x + reference.width / 2 - element.width / 2;\n var commonY = reference.y + reference.height / 2 - element.height / 2;\n var offsets;\n\n switch (basePlacement) {\n case top:\n offsets = {\n x: commonX,\n y: reference.y - element.height\n };\n break;\n\n case bottom:\n offsets = {\n x: commonX,\n y: reference.y + reference.height\n };\n break;\n\n case right:\n offsets = {\n x: reference.x + reference.width,\n y: commonY\n };\n break;\n\n case left:\n offsets = {\n x: reference.x - element.width,\n y: commonY\n };\n break;\n\n default:\n offsets = {\n x: reference.x,\n y: reference.y\n };\n }\n\n var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n if (mainAxis != null) {\n var len = mainAxis === 'y' ? 'height' : 'width';\n\n switch (variation) {\n case start:\n offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n break;\n\n case end:\n offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n break;\n\n default:\n }\n }\n\n return offsets;\n}","export default function rectToClientRect(rect) {\n return Object.assign({}, rect, {\n left: rect.x,\n top: rect.y,\n right: rect.x + rect.width,\n bottom: rect.y + rect.height\n });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element) {\n var rect = getBoundingClientRect(element);\n rect.top = rect.top + element.clientTop;\n rect.left = rect.left + element.clientLeft;\n rect.bottom = rect.top + element.clientHeight;\n rect.right = rect.left + element.clientWidth;\n rect.width = element.clientWidth;\n rect.height = element.clientHeight;\n rect.x = rect.left;\n rect.y = rect.top;\n return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent) {\n return clippingParent === viewport ? rectToClientRect(getViewportRect(element)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n var clippingParents = listScrollParents(getParentNode(element));\n var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n if (!isElement(clipperElement)) {\n return [];\n } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n return clippingParents.filter(function (clippingParent) {\n return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary) {\n var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n var firstClippingParent = clippingParents[0];\n var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n var rect = getClientRectFromMixedType(element, clippingParent);\n accRect.top = max(rect.top, accRect.top);\n accRect.right = min(rect.right, accRect.right);\n accRect.bottom = min(rect.bottom, accRect.bottom);\n accRect.left = max(rect.left, accRect.left);\n return accRect;\n }, getClientRectFromMixedType(element, firstClippingParent));\n clippingRect.width = clippingRect.right - clippingRect.left;\n clippingRect.height = clippingRect.bottom - clippingRect.top;\n clippingRect.x = clippingRect.left;\n clippingRect.y = clippingRect.top;\n return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nexport default function getViewportRect(element) {\n var win = getWindow(element);\n var html = getDocumentElement(element);\n var visualViewport = win.visualViewport;\n var width = html.clientWidth;\n var height = html.clientHeight;\n var x = 0;\n var y = 0; // NB: This isn't supported on iOS <= 12. If the keyboard is open, the popper\n // can be obscured underneath it.\n // Also, `html.clientHeight` adds the bottom bar height in Safari iOS, even\n // if it isn't open, so if this isn't available, the popper will be detected\n // to overflow the bottom of the screen too early.\n\n if (visualViewport) {\n width = visualViewport.width;\n height = visualViewport.height; // Uses Layout Viewport (like Chrome; Safari does not currently)\n // In Chrome, it returns a value very close to 0 (+/-) but contains rounding\n // errors due to floating point numbers, so we need to check precision.\n // Safari returns a number <= 0, usually < -1 when pinch-zoomed\n // Feature detection fails in mobile emulation mode in Chrome.\n // Math.abs(win.innerWidth / visualViewport.scale - visualViewport.width) <\n // 0.001\n // Fallback here: \"Not Safari\" userAgent\n\n if (!/^((?!chrome|android).)*safari/i.test(navigator.userAgent)) {\n x = visualViewport.offsetLeft;\n y = visualViewport.offsetTop;\n }\n }\n\n return {\n width: width,\n height: height,\n x: x + getWindowScrollBarX(element),\n y: y\n };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `` and `` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n var _element$ownerDocumen;\n\n var html = getDocumentElement(element);\n var winScroll = getWindowScroll(element);\n var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n var y = -winScroll.scrollTop;\n\n if (getComputedStyle(body || html).direction === 'rtl') {\n x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n }\n\n return {\n width: width,\n height: height,\n x: x,\n y: y\n };\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n _options$placement = _options.placement,\n placement = _options$placement === void 0 ? state.placement : _options$placement,\n _options$boundary = _options.boundary,\n boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n _options$rootBoundary = _options.rootBoundary,\n rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n _options$elementConte = _options.elementContext,\n elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n _options$altBoundary = _options.altBoundary,\n altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n _options$padding = _options.padding,\n padding = _options$padding === void 0 ? 0 : _options$padding;\n var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n var altContext = elementContext === popper ? reference : popper;\n var popperRect = state.rects.popper;\n var element = state.elements[altBoundary ? altContext : elementContext];\n var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary);\n var referenceClientRect = getBoundingClientRect(state.elements.reference);\n var popperOffsets = computeOffsets({\n reference: referenceClientRect,\n element: popperRect,\n strategy: 'absolute',\n placement: placement\n });\n var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n // 0 or negative = within the clipping rect\n\n var overflowOffsets = {\n top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n };\n var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n if (elementContext === popper && offsetData) {\n var offset = offsetData[placement];\n Object.keys(overflowOffsets).forEach(function (key) {\n var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n overflowOffsets[key] += offset[axis] * multiply;\n });\n }\n\n return overflowOffsets;\n}","export default function expandToHashMap(value, keys) {\n return keys.reduce(function (hashMap, key) {\n hashMap[key] = value;\n return hashMap;\n }, {});\n}","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n return placement.split('-')[0];\n}","export default function getFreshSideObject() {\n return {\n top: 0,\n right: 0,\n bottom: 0,\n left: 0\n };\n}","export default function getMainAxisFromPlacement(placement) {\n return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","export default function getVariation(placement) {\n return placement.split('-')[1];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n return Object.assign({}, getFreshSideObject(), paddingObject);\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n var v = within(min, value, max);\n return v > max ? max : v;\n}","const errors = {\n\t0: \"Illegal state\",\n\t1: \"Immer drafts cannot have computed properties\",\n\t2: \"This object has been frozen and should not be mutated\",\n\t3(data: any) {\n\t\treturn (\n\t\t\t\"Cannot use a proxy that has been revoked. Did you pass an object from inside an immer function to an async process? \" +\n\t\t\tdata\n\t\t)\n\t},\n\t4: \"An immer producer returned a new value *and* modified its draft. Either return a new value *or* modify the draft.\",\n\t5: \"Immer forbids circular references\",\n\t6: \"The first or second argument to `produce` must be a function\",\n\t7: \"The third argument to `produce` must be a function or undefined\",\n\t8: \"First argument to `createDraft` must be a plain object, an array, or an immerable object\",\n\t9: \"First argument to `finishDraft` must be a draft returned by `createDraft`\",\n\t10: \"The given draft is already finalized\",\n\t11: \"Object.defineProperty() cannot be used on an Immer draft\",\n\t12: \"Object.setPrototypeOf() cannot be used on an Immer draft\",\n\t13: \"Immer only supports deleting array indices\",\n\t14: \"Immer only supports setting array indices and the 'length' property\",\n\t15(path: string) {\n\t\treturn \"Cannot apply patch, path doesn't resolve: \" + path\n\t},\n\t16: 'Sets cannot have \"replace\" patches.',\n\t17(op: string) {\n\t\treturn \"Unsupported patch operation: \" + op\n\t},\n\t18(plugin: string) {\n\t\treturn `The plugin for '${plugin}' has not been loaded into Immer. To enable the plugin, import and call \\`enable${plugin}()\\` when initializing your application.`\n\t},\n\t20: \"Cannot use proxies if Proxy, Proxy.revocable or Reflect are not available\",\n\t21(thing: string) {\n\t\treturn `produce can only be called on things that are draftable: plain objects, arrays, Map, Set or classes that are marked with '[immerable]: true'. Got '${thing}'`\n\t},\n\t22(thing: string) {\n\t\treturn `'current' expects a draft, got: ${thing}`\n\t},\n\t23(thing: string) {\n\t\treturn `'original' expects a draft, got: ${thing}`\n\t},\n\t24: \"Patching reserved attributes like __proto__, prototype and constructor is not allowed\"\n} as const\n\nexport function die(error: keyof typeof errors, ...args: any[]): never {\n\tif (__DEV__) {\n\t\tconst e = errors[error]\n\t\tconst msg = !e\n\t\t\t? \"unknown error nr: \" + error\n\t\t\t: typeof e === \"function\"\n\t\t\t? e.apply(null, args as any)\n\t\t\t: e\n\t\tthrow new Error(`[Immer] ${msg}`)\n\t}\n\tthrow new Error(\n\t\t`[Immer] minified error nr: ${error}${\n\t\t\targs.length ? \" \" + args.map(s => `'${s}'`).join(\",\") : \"\"\n\t\t}. Find the full error at: https://bit.ly/3cXEKWf`\n\t)\n}\n","import {\n\tDRAFT_STATE,\n\tDRAFTABLE,\n\thasSet,\n\tObjectish,\n\tDrafted,\n\tAnyObject,\n\tAnyMap,\n\tAnySet,\n\tImmerState,\n\thasMap,\n\tArchtype,\n\tdie\n} from \"../internal\"\n\n/** Returns true if the given value is an Immer draft */\n/*#__PURE__*/\nexport function isDraft(value: any): boolean {\n\treturn !!value && !!value[DRAFT_STATE]\n}\n\n/** Returns true if the given value can be drafted by Immer */\n/*#__PURE__*/\nexport function isDraftable(value: any): boolean {\n\tif (!value) return false\n\treturn (\n\t\tisPlainObject(value) ||\n\t\tArray.isArray(value) ||\n\t\t!!value[DRAFTABLE] ||\n\t\t!!value.constructor[DRAFTABLE] ||\n\t\tisMap(value) ||\n\t\tisSet(value)\n\t)\n}\n\nconst objectCtorString = Object.prototype.constructor.toString()\n/*#__PURE__*/\nexport function isPlainObject(value: any): boolean {\n\tif (!value || typeof value !== \"object\") return false\n\tconst proto = Object.getPrototypeOf(value)\n\tif (proto === null) {\n\t\treturn true\n\t}\n\tconst Ctor =\n\t\tObject.hasOwnProperty.call(proto, \"constructor\") && proto.constructor\n\n\tif (Ctor === Object) return true\n\n\treturn (\n\t\ttypeof Ctor == \"function\" &&\n\t\tFunction.toString.call(Ctor) === objectCtorString\n\t)\n}\n\n/** Get the underlying object that is represented by the given draft */\n/*#__PURE__*/\nexport function original(value: T): T | undefined\nexport function original(value: Drafted): any {\n\tif (!isDraft(value)) die(23, value)\n\treturn value[DRAFT_STATE].base_\n}\n\n/*#__PURE__*/\nexport const ownKeys: (target: AnyObject) => PropertyKey[] =\n\ttypeof Reflect !== \"undefined\" && Reflect.ownKeys\n\t\t? Reflect.ownKeys\n\t\t: typeof Object.getOwnPropertySymbols !== \"undefined\"\n\t\t? obj =>\n\t\t\t\tObject.getOwnPropertyNames(obj).concat(\n\t\t\t\t\tObject.getOwnPropertySymbols(obj) as any\n\t\t\t\t)\n\t\t: /* istanbul ignore next */ Object.getOwnPropertyNames\n\nexport const getOwnPropertyDescriptors =\n\tObject.getOwnPropertyDescriptors ||\n\tfunction getOwnPropertyDescriptors(target: any) {\n\t\t// Polyfill needed for Hermes and IE, see https://github.com/facebook/hermes/issues/274\n\t\tconst res: any = {}\n\t\townKeys(target).forEach(key => {\n\t\t\tres[key] = Object.getOwnPropertyDescriptor(target, key)\n\t\t})\n\t\treturn res\n\t}\n\nexport function each(\n\tobj: T,\n\titer: (key: string | number, value: any, source: T) => void,\n\tenumerableOnly?: boolean\n): void\nexport function each(obj: any, iter: any, enumerableOnly = false) {\n\tif (getArchtype(obj) === Archtype.Object) {\n\t\t;(enumerableOnly ? Object.keys : ownKeys)(obj).forEach(key => {\n\t\t\tif (!enumerableOnly || typeof key !== \"symbol\") iter(key, obj[key], obj)\n\t\t})\n\t} else {\n\t\tobj.forEach((entry: any, index: any) => iter(index, entry, obj))\n\t}\n}\n\n/*#__PURE__*/\nexport function getArchtype(thing: any): Archtype {\n\t/* istanbul ignore next */\n\tconst state: undefined | ImmerState = thing[DRAFT_STATE]\n\treturn state\n\t\t? state.type_ > 3\n\t\t\t? state.type_ - 4 // cause Object and Array map back from 4 and 5\n\t\t\t: (state.type_ as any) // others are the same\n\t\t: Array.isArray(thing)\n\t\t? Archtype.Array\n\t\t: isMap(thing)\n\t\t? Archtype.Map\n\t\t: isSet(thing)\n\t\t? Archtype.Set\n\t\t: Archtype.Object\n}\n\n/*#__PURE__*/\nexport function has(thing: any, prop: PropertyKey): boolean {\n\treturn getArchtype(thing) === Archtype.Map\n\t\t? thing.has(prop)\n\t\t: Object.prototype.hasOwnProperty.call(thing, prop)\n}\n\n/*#__PURE__*/\nexport function get(thing: AnyMap | AnyObject, prop: PropertyKey): any {\n\t// @ts-ignore\n\treturn getArchtype(thing) === Archtype.Map ? thing.get(prop) : thing[prop]\n}\n\n/*#__PURE__*/\nexport function set(thing: any, propOrOldValue: PropertyKey, value: any) {\n\tconst t = getArchtype(thing)\n\tif (t === Archtype.Map) thing.set(propOrOldValue, value)\n\telse if (t === Archtype.Set) {\n\t\tthing.delete(propOrOldValue)\n\t\tthing.add(value)\n\t} else thing[propOrOldValue] = value\n}\n\n/*#__PURE__*/\nexport function is(x: any, y: any): boolean {\n\t// From: https://github.com/facebook/fbjs/blob/c69904a511b900266935168223063dd8772dfc40/packages/fbjs/src/core/shallowEqual.js\n\tif (x === y) {\n\t\treturn x !== 0 || 1 / x === 1 / y\n\t} else {\n\t\treturn x !== x && y !== y\n\t}\n}\n\n/*#__PURE__*/\nexport function isMap(target: any): target is AnyMap {\n\treturn hasMap && target instanceof Map\n}\n\n/*#__PURE__*/\nexport function isSet(target: any): target is AnySet {\n\treturn hasSet && target instanceof Set\n}\n/*#__PURE__*/\nexport function latest(state: ImmerState): any {\n\treturn state.copy_ || state.base_\n}\n\n/*#__PURE__*/\nexport function shallowCopy(base: any) {\n\tif (Array.isArray(base)) return Array.prototype.slice.call(base)\n\tconst descriptors = getOwnPropertyDescriptors(base)\n\tdelete descriptors[DRAFT_STATE as any]\n\tlet keys = ownKeys(descriptors)\n\tfor (let i = 0; i < keys.length; i++) {\n\t\tconst key: any = keys[i]\n\t\tconst desc = descriptors[key]\n\t\tif (desc.writable === false) {\n\t\t\tdesc.writable = true\n\t\t\tdesc.configurable = true\n\t\t}\n\t\t// like object.assign, we will read any _own_, get/set accessors. This helps in dealing\n\t\t// with libraries that trap values, like mobx or vue\n\t\t// unlike object.assign, non-enumerables will be copied as well\n\t\tif (desc.get || desc.set)\n\t\t\tdescriptors[key] = {\n\t\t\t\tconfigurable: true,\n\t\t\t\twritable: true, // could live with !!desc.set as well here...\n\t\t\t\tenumerable: desc.enumerable,\n\t\t\t\tvalue: base[key]\n\t\t\t}\n\t}\n\treturn Object.create(Object.getPrototypeOf(base), descriptors)\n}\n\n/**\n * Freezes draftable objects. Returns the original object.\n * By default freezes shallowly, but if the second argument is `true` it will freeze recursively.\n *\n * @param obj\n * @param deep\n */\nexport function freeze(obj: T, deep?: boolean): T\nexport function freeze(obj: any, deep: boolean = false): T {\n\tif (isFrozen(obj) || isDraft(obj) || !isDraftable(obj)) return obj\n\tif (getArchtype(obj) > 1 /* Map or Set */) {\n\t\tobj.set = obj.add = obj.clear = obj.delete = dontMutateFrozenCollections as any\n\t}\n\tObject.freeze(obj)\n\tif (deep) each(obj, (key, value) => freeze(value, true), true)\n\treturn obj\n}\n\nfunction dontMutateFrozenCollections() {\n\tdie(2)\n}\n\nexport function isFrozen(obj: any): boolean {\n\tif (obj == null || typeof obj !== \"object\") return true\n\t// See #600, IE dies on non-objects in Object.isFrozen\n\treturn Object.isFrozen(obj)\n}\n","import {\n\tImmerState,\n\tPatch,\n\tImmerScope,\n\tDrafted,\n\tAnyObject,\n\tImmerBaseState,\n\tAnyMap,\n\tAnySet,\n\tProxyType,\n\tdie\n} from \"../internal\"\n\n/** Plugin utilities */\nconst plugins: {\n\tPatches?: {\n\t\tgeneratePatches_(\n\t\t\tstate: ImmerState,\n\t\t\tbasePath: PatchPath,\n\t\t\tpatches: Patch[],\n\t\t\tinversePatches: Patch[]\n\t\t): void\n\t\tgenerateReplacementPatches_(\n\t\t\tbase: any,\n\t\t\treplacement: any,\n\t\t\tpatches: Patch[],\n\t\t\tinversePatches: Patch[]\n\t\t): void\n\t\tapplyPatches_(draft: T, patches: Patch[]): T\n\t}\n\tES5?: {\n\t\twillFinalizeES5_(scope: ImmerScope, result: any, isReplaced: boolean): void\n\t\tcreateES5Proxy_(\n\t\t\tbase: T,\n\t\t\tparent?: ImmerState\n\t\t): Drafted\n\t\thasChanges_(state: ES5ArrayState | ES5ObjectState): boolean\n\t}\n\tMapSet?: {\n\t\tproxyMap_(target: T, parent?: ImmerState): T\n\t\tproxySet_(target: T, parent?: ImmerState): T\n\t}\n} = {}\n\ntype Plugins = typeof plugins\n\nexport function getPlugin(\n\tpluginKey: K\n): Exclude {\n\tconst plugin = plugins[pluginKey]\n\tif (!plugin) {\n\t\tdie(18, pluginKey)\n\t}\n\t// @ts-ignore\n\treturn plugin\n}\n\nexport function loadPlugin(\n\tpluginKey: K,\n\timplementation: Plugins[K]\n): void {\n\tif (!plugins[pluginKey]) plugins[pluginKey] = implementation\n}\n\n/** ES5 Plugin */\n\ninterface ES5BaseState extends ImmerBaseState {\n\tassigned_: {[key: string]: any}\n\tparent_?: ImmerState\n\trevoked_: boolean\n}\n\nexport interface ES5ObjectState extends ES5BaseState {\n\ttype_: ProxyType.ES5Object\n\tdraft_: Drafted\n\tbase_: AnyObject\n\tcopy_: AnyObject | null\n}\n\nexport interface ES5ArrayState extends ES5BaseState {\n\ttype_: ProxyType.ES5Array\n\tdraft_: Drafted\n\tbase_: any\n\tcopy_: any\n}\n\n/** Map / Set plugin */\n\nexport interface MapState extends ImmerBaseState {\n\ttype_: ProxyType.Map\n\tcopy_: AnyMap | undefined\n\tassigned_: Map | undefined\n\tbase_: AnyMap\n\trevoked_: boolean\n\tdraft_: Drafted\n}\n\nexport interface SetState extends ImmerBaseState {\n\ttype_: ProxyType.Set\n\tcopy_: AnySet | undefined\n\tbase_: AnySet\n\tdrafts_: Map // maps the original value to the draft value in the new set\n\trevoked_: boolean\n\tdraft_: Drafted\n}\n\n/** Patches plugin */\n\nexport type PatchPath = (string | number)[]\n","import {\n\tPatch,\n\tPatchListener,\n\tDrafted,\n\tImmer,\n\tDRAFT_STATE,\n\tImmerState,\n\tProxyType,\n\tgetPlugin\n} from \"../internal\"\nimport {die} from \"../utils/errors\"\n\n/** Each scope represents a `produce` call. */\n\nexport interface ImmerScope {\n\tpatches_?: Patch[]\n\tinversePatches_?: Patch[]\n\tcanAutoFreeze_: boolean\n\tdrafts_: any[]\n\tparent_?: ImmerScope\n\tpatchListener_?: PatchListener\n\timmer_: Immer\n\tunfinalizedDrafts_: number\n}\n\nlet currentScope: ImmerScope | undefined\n\nexport function getCurrentScope() {\n\tif (__DEV__ && !currentScope) die(0)\n\treturn currentScope!\n}\n\nfunction createScope(\n\tparent_: ImmerScope | undefined,\n\timmer_: Immer\n): ImmerScope {\n\treturn {\n\t\tdrafts_: [],\n\t\tparent_,\n\t\timmer_,\n\t\t// Whenever the modified draft contains a draft from another scope, we\n\t\t// need to prevent auto-freezing so the unowned draft can be finalized.\n\t\tcanAutoFreeze_: true,\n\t\tunfinalizedDrafts_: 0\n\t}\n}\n\nexport function usePatchesInScope(\n\tscope: ImmerScope,\n\tpatchListener?: PatchListener\n) {\n\tif (patchListener) {\n\t\tgetPlugin(\"Patches\") // assert we have the plugin\n\t\tscope.patches_ = []\n\t\tscope.inversePatches_ = []\n\t\tscope.patchListener_ = patchListener\n\t}\n}\n\nexport function revokeScope(scope: ImmerScope) {\n\tleaveScope(scope)\n\tscope.drafts_.forEach(revokeDraft)\n\t// @ts-ignore\n\tscope.drafts_ = null\n}\n\nexport function leaveScope(scope: ImmerScope) {\n\tif (scope === currentScope) {\n\t\tcurrentScope = scope.parent_\n\t}\n}\n\nexport function enterScope(immer: Immer) {\n\treturn (currentScope = createScope(currentScope, immer))\n}\n\nfunction revokeDraft(draft: Drafted) {\n\tconst state: ImmerState = draft[DRAFT_STATE]\n\tif (\n\t\tstate.type_ === ProxyType.ProxyObject ||\n\t\tstate.type_ === ProxyType.ProxyArray\n\t)\n\t\tstate.revoke_()\n\telse state.revoked_ = true\n}\n","import {\n\tImmerScope,\n\tDRAFT_STATE,\n\tisDraftable,\n\tNOTHING,\n\tPatchPath,\n\teach,\n\thas,\n\tfreeze,\n\tImmerState,\n\tisDraft,\n\tSetState,\n\tset,\n\tProxyType,\n\tgetPlugin,\n\tdie,\n\trevokeScope,\n\tisFrozen,\n\tshallowCopy\n} from \"../internal\"\n\nexport function processResult(result: any, scope: ImmerScope) {\n\tscope.unfinalizedDrafts_ = scope.drafts_.length\n\tconst baseDraft = scope.drafts_![0]\n\tconst isReplaced = result !== undefined && result !== baseDraft\n\tif (!scope.immer_.useProxies_)\n\t\tgetPlugin(\"ES5\").willFinalizeES5_(scope, result, isReplaced)\n\tif (isReplaced) {\n\t\tif (baseDraft[DRAFT_STATE].modified_) {\n\t\t\trevokeScope(scope)\n\t\t\tdie(4)\n\t\t}\n\t\tif (isDraftable(result)) {\n\t\t\t// Finalize the result in case it contains (or is) a subset of the draft.\n\t\t\tresult = finalize(scope, result)\n\t\t\tif (!scope.parent_) maybeFreeze(scope, result)\n\t\t}\n\t\tif (scope.patches_) {\n\t\t\tgetPlugin(\"Patches\").generateReplacementPatches_(\n\t\t\t\tbaseDraft[DRAFT_STATE].base_,\n\t\t\t\tresult,\n\t\t\t\tscope.patches_,\n\t\t\t\tscope.inversePatches_!\n\t\t\t)\n\t\t}\n\t} else {\n\t\t// Finalize the base draft.\n\t\tresult = finalize(scope, baseDraft, [])\n\t}\n\trevokeScope(scope)\n\tif (scope.patches_) {\n\t\tscope.patchListener_!(scope.patches_, scope.inversePatches_!)\n\t}\n\treturn result !== NOTHING ? result : undefined\n}\n\nfunction finalize(rootScope: ImmerScope, value: any, path?: PatchPath) {\n\t// Don't recurse in tho recursive data structures\n\tif (isFrozen(value)) return value\n\n\tconst state: ImmerState = value[DRAFT_STATE]\n\t// A plain object, might need freezing, might contain drafts\n\tif (!state) {\n\t\teach(\n\t\t\tvalue,\n\t\t\t(key, childValue) =>\n\t\t\t\tfinalizeProperty(rootScope, state, value, key, childValue, path),\n\t\t\ttrue // See #590, don't recurse into non-enumerable of non drafted objects\n\t\t)\n\t\treturn value\n\t}\n\t// Never finalize drafts owned by another scope.\n\tif (state.scope_ !== rootScope) return value\n\t// Unmodified draft, return the (frozen) original\n\tif (!state.modified_) {\n\t\tmaybeFreeze(rootScope, state.base_, true)\n\t\treturn state.base_\n\t}\n\t// Not finalized yet, let's do that now\n\tif (!state.finalized_) {\n\t\tstate.finalized_ = true\n\t\tstate.scope_.unfinalizedDrafts_--\n\t\tconst result =\n\t\t\t// For ES5, create a good copy from the draft first, with added keys and without deleted keys.\n\t\t\tstate.type_ === ProxyType.ES5Object || state.type_ === ProxyType.ES5Array\n\t\t\t\t? (state.copy_ = shallowCopy(state.draft_))\n\t\t\t\t: state.copy_\n\t\t// Finalize all children of the copy\n\t\t// For sets we clone before iterating, otherwise we can get in endless loop due to modifying during iteration, see #628\n\t\t// Although the original test case doesn't seem valid anyway, so if this in the way we can turn the next line\n\t\t// back to each(result, ....)\n\t\teach(\n\t\t\tstate.type_ === ProxyType.Set ? new Set(result) : result,\n\t\t\t(key, childValue) =>\n\t\t\t\tfinalizeProperty(rootScope, state, result, key, childValue, path)\n\t\t)\n\t\t// everything inside is frozen, we can freeze here\n\t\tmaybeFreeze(rootScope, result, false)\n\t\t// first time finalizing, let's create those patches\n\t\tif (path && rootScope.patches_) {\n\t\t\tgetPlugin(\"Patches\").generatePatches_(\n\t\t\t\tstate,\n\t\t\t\tpath,\n\t\t\t\trootScope.patches_,\n\t\t\t\trootScope.inversePatches_!\n\t\t\t)\n\t\t}\n\t}\n\treturn state.copy_\n}\n\nfunction finalizeProperty(\n\trootScope: ImmerScope,\n\tparentState: undefined | ImmerState,\n\ttargetObject: any,\n\tprop: string | number,\n\tchildValue: any,\n\trootPath?: PatchPath\n) {\n\tif (__DEV__ && childValue === targetObject) die(5)\n\tif (isDraft(childValue)) {\n\t\tconst path =\n\t\t\trootPath &&\n\t\t\tparentState &&\n\t\t\tparentState!.type_ !== ProxyType.Set && // Set objects are atomic since they have no keys.\n\t\t\t!has((parentState as Exclude).assigned_!, prop) // Skip deep patches for assigned keys.\n\t\t\t\t? rootPath!.concat(prop)\n\t\t\t\t: undefined\n\t\t// Drafts owned by `scope` are finalized here.\n\t\tconst res = finalize(rootScope, childValue, path)\n\t\tset(targetObject, prop, res)\n\t\t// Drafts from another scope must prevented to be frozen\n\t\t// if we got a draft back from finalize, we're in a nested produce and shouldn't freeze\n\t\tif (isDraft(res)) {\n\t\t\trootScope.canAutoFreeze_ = false\n\t\t} else return\n\t}\n\t// Search new objects for unfinalized drafts. Frozen objects should never contain drafts.\n\tif (isDraftable(childValue) && !isFrozen(childValue)) {\n\t\tif (!rootScope.immer_.autoFreeze_ && rootScope.unfinalizedDrafts_ < 1) {\n\t\t\t// optimization: if an object is not a draft, and we don't have to\n\t\t\t// deepfreeze everything, and we are sure that no drafts are left in the remaining object\n\t\t\t// cause we saw and finalized all drafts already; we can stop visiting the rest of the tree.\n\t\t\t// This benefits especially adding large data tree's without further processing.\n\t\t\t// See add-data.js perf test\n\t\t\treturn\n\t\t}\n\t\tfinalize(rootScope, childValue)\n\t\t// immer deep freezes plain objects, so if there is no parent state, we freeze as well\n\t\tif (!parentState || !parentState.scope_.parent_)\n\t\t\tmaybeFreeze(rootScope, childValue)\n\t}\n}\n\nfunction maybeFreeze(scope: ImmerScope, value: any, deep = false) {\n\tif (scope.immer_.autoFreeze_ && scope.canAutoFreeze_) {\n\t\tfreeze(value, deep)\n\t}\n}\n","import {\n\teach,\n\thas,\n\tis,\n\tisDraftable,\n\tshallowCopy,\n\tlatest,\n\tImmerBaseState,\n\tImmerState,\n\tDrafted,\n\tAnyObject,\n\tAnyArray,\n\tObjectish,\n\tgetCurrentScope,\n\tDRAFT_STATE,\n\tdie,\n\tcreateProxy,\n\tProxyType\n} from \"../internal\"\n\ninterface ProxyBaseState extends ImmerBaseState {\n\tassigned_: {\n\t\t[property: string]: boolean\n\t}\n\tparent_?: ImmerState\n\trevoke_(): void\n}\n\nexport interface ProxyObjectState extends ProxyBaseState {\n\ttype_: ProxyType.ProxyObject\n\tbase_: any\n\tcopy_: any\n\tdraft_: Drafted\n}\n\nexport interface ProxyArrayState extends ProxyBaseState {\n\ttype_: ProxyType.ProxyArray\n\tbase_: AnyArray\n\tcopy_: AnyArray | null\n\tdraft_: Drafted\n}\n\ntype ProxyState = ProxyObjectState | ProxyArrayState\n\n/**\n * Returns a new draft of the `base` object.\n *\n * The second argument is the parent draft-state (used internally).\n */\nexport function createProxyProxy(\n\tbase: T,\n\tparent?: ImmerState\n): Drafted {\n\tconst isArray = Array.isArray(base)\n\tconst state: ProxyState = {\n\t\ttype_: isArray ? ProxyType.ProxyArray : (ProxyType.ProxyObject as any),\n\t\t// Track which produce call this is associated with.\n\t\tscope_: parent ? parent.scope_ : getCurrentScope()!,\n\t\t// True for both shallow and deep changes.\n\t\tmodified_: false,\n\t\t// Used during finalization.\n\t\tfinalized_: false,\n\t\t// Track which properties have been assigned (true) or deleted (false).\n\t\tassigned_: {},\n\t\t// The parent draft state.\n\t\tparent_: parent,\n\t\t// The base state.\n\t\tbase_: base,\n\t\t// The base proxy.\n\t\tdraft_: null as any, // set below\n\t\t// The base copy with any updated values.\n\t\tcopy_: null,\n\t\t// Called by the `produce` function.\n\t\trevoke_: null as any,\n\t\tisManual_: false\n\t}\n\n\t// the traps must target something, a bit like the 'real' base.\n\t// but also, we need to be able to determine from the target what the relevant state is\n\t// (to avoid creating traps per instance to capture the state in closure,\n\t// and to avoid creating weird hidden properties as well)\n\t// So the trick is to use 'state' as the actual 'target'! (and make sure we intercept everything)\n\t// Note that in the case of an array, we put the state in an array to have better Reflect defaults ootb\n\tlet target: T = state as any\n\tlet traps: ProxyHandler> = objectTraps\n\tif (isArray) {\n\t\ttarget = [state] as any\n\t\ttraps = arrayTraps\n\t}\n\n\tconst {revoke, proxy} = Proxy.revocable(target, traps)\n\tstate.draft_ = proxy as any\n\tstate.revoke_ = revoke\n\treturn proxy as any\n}\n\n/**\n * Object drafts\n */\nexport const objectTraps: ProxyHandler = {\n\tget(state, prop) {\n\t\tif (prop === DRAFT_STATE) return state\n\n\t\tconst source = latest(state)\n\t\tif (!has(source, prop)) {\n\t\t\t// non-existing or non-own property...\n\t\t\treturn readPropFromProto(state, source, prop)\n\t\t}\n\t\tconst value = source[prop]\n\t\tif (state.finalized_ || !isDraftable(value)) {\n\t\t\treturn value\n\t\t}\n\t\t// Check for existing draft in modified state.\n\t\t// Assigned values are never drafted. This catches any drafts we created, too.\n\t\tif (value === peek(state.base_, prop)) {\n\t\t\tprepareCopy(state)\n\t\t\treturn (state.copy_![prop as any] = createProxy(\n\t\t\t\tstate.scope_.immer_,\n\t\t\t\tvalue,\n\t\t\t\tstate\n\t\t\t))\n\t\t}\n\t\treturn value\n\t},\n\thas(state, prop) {\n\t\treturn prop in latest(state)\n\t},\n\townKeys(state) {\n\t\treturn Reflect.ownKeys(latest(state))\n\t},\n\tset(\n\t\tstate: ProxyObjectState,\n\t\tprop: string /* strictly not, but helps TS */,\n\t\tvalue\n\t) {\n\t\tconst desc = getDescriptorFromProto(latest(state), prop)\n\t\tif (desc?.set) {\n\t\t\t// special case: if this write is captured by a setter, we have\n\t\t\t// to trigger it with the correct context\n\t\t\tdesc.set.call(state.draft_, value)\n\t\t\treturn true\n\t\t}\n\t\tif (!state.modified_) {\n\t\t\t// the last check is because we need to be able to distinguish setting a non-existing to undefined (which is a change)\n\t\t\t// from setting an existing property with value undefined to undefined (which is not a change)\n\t\t\tconst current = peek(latest(state), prop)\n\t\t\t// special case, if we assigning the original value to a draft, we can ignore the assignment\n\t\t\tconst currentState: ProxyObjectState = current?.[DRAFT_STATE]\n\t\t\tif (currentState && currentState.base_ === value) {\n\t\t\t\tstate.copy_![prop] = value\n\t\t\t\tstate.assigned_[prop] = false\n\t\t\t\treturn true\n\t\t\t}\n\t\t\tif (is(value, current) && (value !== undefined || has(state.base_, prop)))\n\t\t\t\treturn true\n\t\t\tprepareCopy(state)\n\t\t\tmarkChanged(state)\n\t\t}\n\n\t\tif (\n\t\t\tstate.copy_![prop] === value &&\n\t\t\t// special case: NaN\n\t\t\ttypeof value !== \"number\" &&\n\t\t\t// special case: handle new props with value 'undefined'\n\t\t\t(value !== undefined || prop in state.copy_)\n\t\t)\n\t\t\treturn true\n\n\t\t// @ts-ignore\n\t\tstate.copy_![prop] = value\n\t\tstate.assigned_[prop] = true\n\t\treturn true\n\t},\n\tdeleteProperty(state, prop: string) {\n\t\t// The `undefined` check is a fast path for pre-existing keys.\n\t\tif (peek(state.base_, prop) !== undefined || prop in state.base_) {\n\t\t\tstate.assigned_[prop] = false\n\t\t\tprepareCopy(state)\n\t\t\tmarkChanged(state)\n\t\t} else {\n\t\t\t// if an originally not assigned property was deleted\n\t\t\tdelete state.assigned_[prop]\n\t\t}\n\t\t// @ts-ignore\n\t\tif (state.copy_) delete state.copy_[prop]\n\t\treturn true\n\t},\n\t// Note: We never coerce `desc.value` into an Immer draft, because we can't make\n\t// the same guarantee in ES5 mode.\n\tgetOwnPropertyDescriptor(state, prop) {\n\t\tconst owner = latest(state)\n\t\tconst desc = Reflect.getOwnPropertyDescriptor(owner, prop)\n\t\tif (!desc) return desc\n\t\treturn {\n\t\t\twritable: true,\n\t\t\tconfigurable: state.type_ !== ProxyType.ProxyArray || prop !== \"length\",\n\t\t\tenumerable: desc.enumerable,\n\t\t\tvalue: owner[prop]\n\t\t}\n\t},\n\tdefineProperty() {\n\t\tdie(11)\n\t},\n\tgetPrototypeOf(state) {\n\t\treturn Object.getPrototypeOf(state.base_)\n\t},\n\tsetPrototypeOf() {\n\t\tdie(12)\n\t}\n}\n\n/**\n * Array drafts\n */\n\nconst arrayTraps: ProxyHandler<[ProxyArrayState]> = {}\neach(objectTraps, (key, fn) => {\n\t// @ts-ignore\n\tarrayTraps[key] = function() {\n\t\targuments[0] = arguments[0][0]\n\t\treturn fn.apply(this, arguments)\n\t}\n})\narrayTraps.deleteProperty = function(state, prop) {\n\tif (__DEV__ && isNaN(parseInt(prop as any))) die(13)\n\t// @ts-ignore\n\treturn arrayTraps.set!.call(this, state, prop, undefined)\n}\narrayTraps.set = function(state, prop, value) {\n\tif (__DEV__ && prop !== \"length\" && isNaN(parseInt(prop as any))) die(14)\n\treturn objectTraps.set!.call(this, state[0], prop, value, state[0])\n}\n\n// Access a property without creating an Immer draft.\nfunction peek(draft: Drafted, prop: PropertyKey) {\n\tconst state = draft[DRAFT_STATE]\n\tconst source = state ? latest(state) : draft\n\treturn source[prop]\n}\n\nfunction readPropFromProto(state: ImmerState, source: any, prop: PropertyKey) {\n\tconst desc = getDescriptorFromProto(source, prop)\n\treturn desc\n\t\t? `value` in desc\n\t\t\t? desc.value\n\t\t\t: // This is a very special case, if the prop is a getter defined by the\n\t\t\t // prototype, we should invoke it with the draft as context!\n\t\t\t desc.get?.call(state.draft_)\n\t\t: undefined\n}\n\nfunction getDescriptorFromProto(\n\tsource: any,\n\tprop: PropertyKey\n): PropertyDescriptor | undefined {\n\t// 'in' checks proto!\n\tif (!(prop in source)) return undefined\n\tlet proto = Object.getPrototypeOf(source)\n\twhile (proto) {\n\t\tconst desc = Object.getOwnPropertyDescriptor(proto, prop)\n\t\tif (desc) return desc\n\t\tproto = Object.getPrototypeOf(proto)\n\t}\n\treturn undefined\n}\n\nexport function markChanged(state: ImmerState) {\n\tif (!state.modified_) {\n\t\tstate.modified_ = true\n\t\tif (state.parent_) {\n\t\t\tmarkChanged(state.parent_)\n\t\t}\n\t}\n}\n\nexport function prepareCopy(state: {base_: any; copy_: any}) {\n\tif (!state.copy_) {\n\t\tstate.copy_ = shallowCopy(state.base_)\n\t}\n}\n","import {\n\tIProduceWithPatches,\n\tIProduce,\n\tImmerState,\n\tDrafted,\n\tisDraftable,\n\tprocessResult,\n\tPatch,\n\tObjectish,\n\tDRAFT_STATE,\n\tDraft,\n\tPatchListener,\n\tisDraft,\n\tisMap,\n\tisSet,\n\tcreateProxyProxy,\n\tgetPlugin,\n\tdie,\n\thasProxies,\n\tenterScope,\n\trevokeScope,\n\tleaveScope,\n\tusePatchesInScope,\n\tgetCurrentScope,\n\tNOTHING,\n\tfreeze,\n\tcurrent\n} from \"../internal\"\n\ninterface ProducersFns {\n\tproduce: IProduce\n\tproduceWithPatches: IProduceWithPatches\n}\n\nexport class Immer implements ProducersFns {\n\tuseProxies_: boolean = hasProxies\n\n\tautoFreeze_: boolean = true\n\n\tconstructor(config?: {useProxies?: boolean; autoFreeze?: boolean}) {\n\t\tif (typeof config?.useProxies === \"boolean\")\n\t\t\tthis.setUseProxies(config!.useProxies)\n\t\tif (typeof config?.autoFreeze === \"boolean\")\n\t\t\tthis.setAutoFreeze(config!.autoFreeze)\n\t}\n\n\t/**\n\t * The `produce` function takes a value and a \"recipe function\" (whose\n\t * return value often depends on the base state). The recipe function is\n\t * free to mutate its first argument however it wants. All mutations are\n\t * only ever applied to a __copy__ of the base state.\n\t *\n\t * Pass only a function to create a \"curried producer\" which relieves you\n\t * from passing the recipe function every time.\n\t *\n\t * Only plain objects and arrays are made mutable. All other objects are\n\t * considered uncopyable.\n\t *\n\t * Note: This function is __bound__ to its `Immer` instance.\n\t *\n\t * @param {any} base - the initial state\n\t * @param {Function} producer - function that receives a proxy of the base state as first argument and which can be freely modified\n\t * @param {Function} patchListener - optional function that will be called with all the patches produced here\n\t * @returns {any} a new state, or the initial state if nothing was modified\n\t */\n\tproduce: IProduce = (base: any, recipe?: any, patchListener?: any) => {\n\t\t// curried invocation\n\t\tif (typeof base === \"function\" && typeof recipe !== \"function\") {\n\t\t\tconst defaultBase = recipe\n\t\t\trecipe = base\n\n\t\t\tconst self = this\n\t\t\treturn function curriedProduce(\n\t\t\t\tthis: any,\n\t\t\t\tbase = defaultBase,\n\t\t\t\t...args: any[]\n\t\t\t) {\n\t\t\t\treturn self.produce(base, (draft: Drafted) => recipe.call(this, draft, ...args)) // prettier-ignore\n\t\t\t}\n\t\t}\n\n\t\tif (typeof recipe !== \"function\") die(6)\n\t\tif (patchListener !== undefined && typeof patchListener !== \"function\")\n\t\t\tdie(7)\n\n\t\tlet result\n\n\t\t// Only plain objects, arrays, and \"immerable classes\" are drafted.\n\t\tif (isDraftable(base)) {\n\t\t\tconst scope = enterScope(this)\n\t\t\tconst proxy = createProxy(this, base, undefined)\n\t\t\tlet hasError = true\n\t\t\ttry {\n\t\t\t\tresult = recipe(proxy)\n\t\t\t\thasError = false\n\t\t\t} finally {\n\t\t\t\t// finally instead of catch + rethrow better preserves original stack\n\t\t\t\tif (hasError) revokeScope(scope)\n\t\t\t\telse leaveScope(scope)\n\t\t\t}\n\t\t\tif (typeof Promise !== \"undefined\" && result instanceof Promise) {\n\t\t\t\treturn result.then(\n\t\t\t\t\tresult => {\n\t\t\t\t\t\tusePatchesInScope(scope, patchListener)\n\t\t\t\t\t\treturn processResult(result, scope)\n\t\t\t\t\t},\n\t\t\t\t\terror => {\n\t\t\t\t\t\trevokeScope(scope)\n\t\t\t\t\t\tthrow error\n\t\t\t\t\t}\n\t\t\t\t)\n\t\t\t}\n\t\t\tusePatchesInScope(scope, patchListener)\n\t\t\treturn processResult(result, scope)\n\t\t} else if (!base || typeof base !== \"object\") {\n\t\t\tresult = recipe(base)\n\t\t\tif (result === undefined) result = base\n\t\t\tif (result === NOTHING) result = undefined\n\t\t\tif (this.autoFreeze_) freeze(result, true)\n\t\t\tif (patchListener) {\n\t\t\t\tconst p: Patch[] = []\n\t\t\t\tconst ip: Patch[] = []\n\t\t\t\tgetPlugin(\"Patches\").generateReplacementPatches_(base, result, p, ip)\n\t\t\t\tpatchListener(p, ip)\n\t\t\t}\n\t\t\treturn result\n\t\t} else die(21, base)\n\t}\n\n\tproduceWithPatches: IProduceWithPatches = (\n\t\targ1: any,\n\t\targ2?: any,\n\t\targ3?: any\n\t): any => {\n\t\tif (typeof arg1 === \"function\") {\n\t\t\treturn (state: any, ...args: any[]) =>\n\t\t\t\tthis.produceWithPatches(state, (draft: any) => arg1(draft, ...args))\n\t\t}\n\n\t\tlet patches: Patch[], inversePatches: Patch[]\n\t\tconst result = this.produce(arg1, arg2, (p: Patch[], ip: Patch[]) => {\n\t\t\tpatches = p\n\t\t\tinversePatches = ip\n\t\t})\n\n\t\tif (typeof Promise !== \"undefined\" && result instanceof Promise) {\n\t\t\treturn result.then(nextState => [nextState, patches!, inversePatches!])\n\t\t}\n\t\treturn [result, patches!, inversePatches!]\n\t}\n\n\tcreateDraft(base: T): Draft {\n\t\tif (!isDraftable(base)) die(8)\n\t\tif (isDraft(base)) base = current(base)\n\t\tconst scope = enterScope(this)\n\t\tconst proxy = createProxy(this, base, undefined)\n\t\tproxy[DRAFT_STATE].isManual_ = true\n\t\tleaveScope(scope)\n\t\treturn proxy as any\n\t}\n\n\tfinishDraft>(\n\t\tdraft: D,\n\t\tpatchListener?: PatchListener\n\t): D extends Draft ? T : never {\n\t\tconst state: ImmerState = draft && (draft as any)[DRAFT_STATE]\n\t\tif (__DEV__) {\n\t\t\tif (!state || !state.isManual_) die(9)\n\t\t\tif (state.finalized_) die(10)\n\t\t}\n\t\tconst {scope_: scope} = state\n\t\tusePatchesInScope(scope, patchListener)\n\t\treturn processResult(undefined, scope)\n\t}\n\n\t/**\n\t * Pass true to automatically freeze all copies created by Immer.\n\t *\n\t * By default, auto-freezing is enabled.\n\t */\n\tsetAutoFreeze(value: boolean) {\n\t\tthis.autoFreeze_ = value\n\t}\n\n\t/**\n\t * Pass true to use the ES2015 `Proxy` class when creating drafts, which is\n\t * always faster than using ES5 proxies.\n\t *\n\t * By default, feature detection is used, so calling this is rarely necessary.\n\t */\n\tsetUseProxies(value: boolean) {\n\t\tif (value && !hasProxies) {\n\t\t\tdie(20)\n\t\t}\n\t\tthis.useProxies_ = value\n\t}\n\n\tapplyPatches(base: T, patches: Patch[]): T {\n\t\t// If a patch replaces the entire state, take that replacement as base\n\t\t// before applying patches\n\t\tlet i: number\n\t\tfor (i = patches.length - 1; i >= 0; i--) {\n\t\t\tconst patch = patches[i]\n\t\t\tif (patch.path.length === 0 && patch.op === \"replace\") {\n\t\t\t\tbase = patch.value\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t\t// If there was a patch that replaced the entire state, start from the\n\t\t// patch after that.\n\t\tif (i > -1) {\n\t\t\tpatches = patches.slice(i + 1)\n\t\t}\n\n\t\tconst applyPatchesImpl = getPlugin(\"Patches\").applyPatches_\n\t\tif (isDraft(base)) {\n\t\t\t// N.B: never hits if some patch a replacement, patches are never drafts\n\t\t\treturn applyPatchesImpl(base, patches)\n\t\t}\n\t\t// Otherwise, produce a copy of the base state.\n\t\treturn this.produce(base, (draft: Drafted) =>\n\t\t\tapplyPatchesImpl(draft, patches)\n\t\t)\n\t}\n}\n\nexport function createProxy(\n\timmer: Immer,\n\tvalue: T,\n\tparent?: ImmerState\n): Drafted {\n\t// precondition: createProxy should be guarded by isDraftable, so we know we can safely draft\n\tconst draft: Drafted = isMap(value)\n\t\t? getPlugin(\"MapSet\").proxyMap_(value, parent)\n\t\t: isSet(value)\n\t\t? getPlugin(\"MapSet\").proxySet_(value, parent)\n\t\t: immer.useProxies_\n\t\t? createProxyProxy(value, parent)\n\t\t: getPlugin(\"ES5\").createES5Proxy_(value, parent)\n\n\tconst scope = parent ? parent.scope_ : getCurrentScope()\n\tscope.drafts_.push(draft)\n\treturn draft\n}\n","import {\n\tdie,\n\tisDraft,\n\tshallowCopy,\n\teach,\n\tDRAFT_STATE,\n\tget,\n\tset,\n\tImmerState,\n\tisDraftable,\n\tArchtype,\n\tgetArchtype,\n\tgetPlugin\n} from \"../internal\"\n\n/** Takes a snapshot of the current state of a draft and finalizes it (but without freezing). This is a great utility to print the current state during debugging (no Proxies in the way). The output of current can also be safely leaked outside the producer. */\nexport function current(value: T): T\nexport function current(value: any): any {\n\tif (!isDraft(value)) die(22, value)\n\treturn currentImpl(value)\n}\n\nfunction currentImpl(value: any): any {\n\tif (!isDraftable(value)) return value\n\tconst state: ImmerState | undefined = value[DRAFT_STATE]\n\tlet copy: any\n\tconst archType = getArchtype(value)\n\tif (state) {\n\t\tif (\n\t\t\t!state.modified_ &&\n\t\t\t(state.type_ < 4 || !getPlugin(\"ES5\").hasChanges_(state as any))\n\t\t)\n\t\t\treturn state.base_\n\t\t// Optimization: avoid generating new drafts during copying\n\t\tstate.finalized_ = true\n\t\tcopy = copyHelper(value, archType)\n\t\tstate.finalized_ = false\n\t} else {\n\t\tcopy = copyHelper(value, archType)\n\t}\n\n\teach(copy, (key, childValue) => {\n\t\tif (state && get(state.base_, key) === childValue) return // no need to copy or search in something that didn't change\n\t\tset(copy, key, currentImpl(childValue))\n\t})\n\t// In the future, we might consider freezing here, based on the current settings\n\treturn archType === Archtype.Set ? new Set(copy) : copy\n}\n\nfunction copyHelper(value: any, archType: number): any {\n\t// creates a shallow copy, even if it is a map or set\n\tswitch (archType) {\n\t\tcase Archtype.Map:\n\t\t\treturn new Map(value)\n\t\tcase Archtype.Set:\n\t\t\t// Set will be cloned as array temporarily, so that we can replace individual items\n\t\t\treturn Array.from(value)\n\t}\n\treturn shallowCopy(value)\n}\n","import {\n\tImmerState,\n\tDrafted,\n\tES5ArrayState,\n\tES5ObjectState,\n\teach,\n\thas,\n\tisDraft,\n\tlatest,\n\tDRAFT_STATE,\n\tis,\n\tloadPlugin,\n\tImmerScope,\n\tProxyType,\n\tgetCurrentScope,\n\tdie,\n\tmarkChanged,\n\tobjectTraps,\n\townKeys,\n\tgetOwnPropertyDescriptors\n} from \"../internal\"\n\ntype ES5State = ES5ArrayState | ES5ObjectState\n\nexport function enableES5() {\n\tfunction willFinalizeES5_(\n\t\tscope: ImmerScope,\n\t\tresult: any,\n\t\tisReplaced: boolean\n\t) {\n\t\tif (!isReplaced) {\n\t\t\tif (scope.patches_) {\n\t\t\t\tmarkChangesRecursively(scope.drafts_![0])\n\t\t\t}\n\t\t\t// This is faster when we don't care about which attributes changed.\n\t\t\tmarkChangesSweep(scope.drafts_)\n\t\t}\n\t\t// When a child draft is returned, look for changes.\n\t\telse if (\n\t\t\tisDraft(result) &&\n\t\t\t(result[DRAFT_STATE] as ES5State).scope_ === scope\n\t\t) {\n\t\t\tmarkChangesSweep(scope.drafts_)\n\t\t}\n\t}\n\n\tfunction createES5Draft(isArray: boolean, base: any) {\n\t\tif (isArray) {\n\t\t\tconst draft = new Array(base.length)\n\t\t\tfor (let i = 0; i < base.length; i++)\n\t\t\t\tObject.defineProperty(draft, \"\" + i, proxyProperty(i, true))\n\t\t\treturn draft\n\t\t} else {\n\t\t\tconst descriptors = getOwnPropertyDescriptors(base)\n\t\t\tdelete descriptors[DRAFT_STATE as any]\n\t\t\tconst keys = ownKeys(descriptors)\n\t\t\tfor (let i = 0; i < keys.length; i++) {\n\t\t\t\tconst key: any = keys[i]\n\t\t\t\tdescriptors[key] = proxyProperty(\n\t\t\t\t\tkey,\n\t\t\t\t\tisArray || !!descriptors[key].enumerable\n\t\t\t\t)\n\t\t\t}\n\t\t\treturn Object.create(Object.getPrototypeOf(base), descriptors)\n\t\t}\n\t}\n\n\tfunction createES5Proxy_(\n\t\tbase: T,\n\t\tparent?: ImmerState\n\t): Drafted {\n\t\tconst isArray = Array.isArray(base)\n\t\tconst draft = createES5Draft(isArray, base)\n\n\t\tconst state: ES5ObjectState | ES5ArrayState = {\n\t\t\ttype_: isArray ? ProxyType.ES5Array : (ProxyType.ES5Object as any),\n\t\t\tscope_: parent ? parent.scope_ : getCurrentScope(),\n\t\t\tmodified_: false,\n\t\t\tfinalized_: false,\n\t\t\tassigned_: {},\n\t\t\tparent_: parent,\n\t\t\t// base is the object we are drafting\n\t\t\tbase_: base,\n\t\t\t// draft is the draft object itself, that traps all reads and reads from either the base (if unmodified) or copy (if modified)\n\t\t\tdraft_: draft,\n\t\t\tcopy_: null,\n\t\t\trevoked_: false,\n\t\t\tisManual_: false\n\t\t}\n\n\t\tObject.defineProperty(draft, DRAFT_STATE, {\n\t\t\tvalue: state,\n\t\t\t// enumerable: false <- the default\n\t\t\twritable: true\n\t\t})\n\t\treturn draft\n\t}\n\n\t// property descriptors are recycled to make sure we don't create a get and set closure per property,\n\t// but share them all instead\n\tconst descriptors: {[prop: string]: PropertyDescriptor} = {}\n\n\tfunction proxyProperty(\n\t\tprop: string | number,\n\t\tenumerable: boolean\n\t): PropertyDescriptor {\n\t\tlet desc = descriptors[prop]\n\t\tif (desc) {\n\t\t\tdesc.enumerable = enumerable\n\t\t} else {\n\t\t\tdescriptors[prop] = desc = {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable,\n\t\t\t\tget(this: any) {\n\t\t\t\t\tconst state = this[DRAFT_STATE]\n\t\t\t\t\tif (__DEV__) assertUnrevoked(state)\n\t\t\t\t\t// @ts-ignore\n\t\t\t\t\treturn objectTraps.get(state, prop)\n\t\t\t\t},\n\t\t\t\tset(this: any, value) {\n\t\t\t\t\tconst state = this[DRAFT_STATE]\n\t\t\t\t\tif (__DEV__) assertUnrevoked(state)\n\t\t\t\t\t// @ts-ignore\n\t\t\t\t\tobjectTraps.set(state, prop, value)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn desc\n\t}\n\n\t// This looks expensive, but only proxies are visited, and only objects without known changes are scanned.\n\tfunction markChangesSweep(drafts: Drafted[]) {\n\t\t// The natural order of drafts in the `scope` array is based on when they\n\t\t// were accessed. By processing drafts in reverse natural order, we have a\n\t\t// better chance of processing leaf nodes first. When a leaf node is known to\n\t\t// have changed, we can avoid any traversal of its ancestor nodes.\n\t\tfor (let i = drafts.length - 1; i >= 0; i--) {\n\t\t\tconst state: ES5State = drafts[i][DRAFT_STATE]\n\t\t\tif (!state.modified_) {\n\t\t\t\tswitch (state.type_) {\n\t\t\t\t\tcase ProxyType.ES5Array:\n\t\t\t\t\t\tif (hasArrayChanges(state)) markChanged(state)\n\t\t\t\t\t\tbreak\n\t\t\t\t\tcase ProxyType.ES5Object:\n\t\t\t\t\t\tif (hasObjectChanges(state)) markChanged(state)\n\t\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfunction markChangesRecursively(object: any) {\n\t\tif (!object || typeof object !== \"object\") return\n\t\tconst state: ES5State | undefined = object[DRAFT_STATE]\n\t\tif (!state) return\n\t\tconst {base_, draft_, assigned_, type_} = state\n\t\tif (type_ === ProxyType.ES5Object) {\n\t\t\t// Look for added keys.\n\t\t\t// probably there is a faster way to detect changes, as sweep + recurse seems to do some\n\t\t\t// unnecessary work.\n\t\t\t// also: probably we can store the information we detect here, to speed up tree finalization!\n\t\t\teach(draft_, key => {\n\t\t\t\tif ((key as any) === DRAFT_STATE) return\n\t\t\t\t// The `undefined` check is a fast path for pre-existing keys.\n\t\t\t\tif ((base_ as any)[key] === undefined && !has(base_, key)) {\n\t\t\t\t\tassigned_[key] = true\n\t\t\t\t\tmarkChanged(state)\n\t\t\t\t} else if (!assigned_[key]) {\n\t\t\t\t\t// Only untouched properties trigger recursion.\n\t\t\t\t\tmarkChangesRecursively(draft_[key])\n\t\t\t\t}\n\t\t\t})\n\t\t\t// Look for removed keys.\n\t\t\teach(base_, key => {\n\t\t\t\t// The `undefined` check is a fast path for pre-existing keys.\n\t\t\t\tif (draft_[key] === undefined && !has(draft_, key)) {\n\t\t\t\t\tassigned_[key] = false\n\t\t\t\t\tmarkChanged(state)\n\t\t\t\t}\n\t\t\t})\n\t\t} else if (type_ === ProxyType.ES5Array) {\n\t\t\tif (hasArrayChanges(state as ES5ArrayState)) {\n\t\t\t\tmarkChanged(state)\n\t\t\t\tassigned_.length = true\n\t\t\t}\n\n\t\t\tif (draft_.length < base_.length) {\n\t\t\t\tfor (let i = draft_.length; i < base_.length; i++) assigned_[i] = false\n\t\t\t} else {\n\t\t\t\tfor (let i = base_.length; i < draft_.length; i++) assigned_[i] = true\n\t\t\t}\n\n\t\t\t// Minimum count is enough, the other parts has been processed.\n\t\t\tconst min = Math.min(draft_.length, base_.length)\n\n\t\t\tfor (let i = 0; i < min; i++) {\n\t\t\t\t// Only untouched indices trigger recursion.\n\t\t\t\tif (!draft_.hasOwnProperty(i)) {\n\t\t\t\t\tassigned_[i] = true\n\t\t\t\t}\n\t\t\t\tif (assigned_[i] === undefined) markChangesRecursively(draft_[i])\n\t\t\t}\n\t\t}\n\t}\n\n\tfunction hasObjectChanges(state: ES5ObjectState) {\n\t\tconst {base_, draft_} = state\n\n\t\t// Search for added keys and changed keys. Start at the back, because\n\t\t// non-numeric keys are ordered by time of definition on the object.\n\t\tconst keys = ownKeys(draft_)\n\t\tfor (let i = keys.length - 1; i >= 0; i--) {\n\t\t\tconst key: any = keys[i]\n\t\t\tif (key === DRAFT_STATE) continue\n\t\t\tconst baseValue = base_[key]\n\t\t\t// The `undefined` check is a fast path for pre-existing keys.\n\t\t\tif (baseValue === undefined && !has(base_, key)) {\n\t\t\t\treturn true\n\t\t\t}\n\t\t\t// Once a base key is deleted, future changes go undetected, because its\n\t\t\t// descriptor is erased. This branch detects any missed changes.\n\t\t\telse {\n\t\t\t\tconst value = draft_[key]\n\t\t\t\tconst state: ImmerState = value && value[DRAFT_STATE]\n\t\t\t\tif (state ? state.base_ !== baseValue : !is(value, baseValue)) {\n\t\t\t\t\treturn true\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// At this point, no keys were added or changed.\n\t\t// Compare key count to determine if keys were deleted.\n\t\tconst baseIsDraft = !!base_[DRAFT_STATE as any]\n\t\treturn keys.length !== ownKeys(base_).length + (baseIsDraft ? 0 : 1) // + 1 to correct for DRAFT_STATE\n\t}\n\n\tfunction hasArrayChanges(state: ES5ArrayState) {\n\t\tconst {draft_} = state\n\t\tif (draft_.length !== state.base_.length) return true\n\t\t// See #116\n\t\t// If we first shorten the length, our array interceptors will be removed.\n\t\t// If after that new items are added, result in the same original length,\n\t\t// those last items will have no intercepting property.\n\t\t// So if there is no own descriptor on the last position, we know that items were removed and added\n\t\t// N.B.: splice, unshift, etc only shift values around, but not prop descriptors, so we only have to check\n\t\t// the last one\n\t\t// last descriptor can be not a trap, if the array was extended\n\t\tconst descriptor = Object.getOwnPropertyDescriptor(\n\t\t\tdraft_,\n\t\t\tdraft_.length - 1\n\t\t)\n\t\t// descriptor can be null, but only for newly created sparse arrays, eg. new Array(10)\n\t\tif (descriptor && !descriptor.get) return true\n\t\t// if we miss a property, it has been deleted, so array probobaly changed\n\t\tfor (let i = 0; i < draft_.length; i++) {\n\t\t\tif (!draft_.hasOwnProperty(i)) return true\n\t\t}\n\t\t// For all other cases, we don't have to compare, as they would have been picked up by the index setters\n\t\treturn false\n\t}\n\n\tfunction hasChanges_(state: ES5State) {\n\t\treturn state.type_ === ProxyType.ES5Object\n\t\t\t? hasObjectChanges(state)\n\t\t\t: hasArrayChanges(state)\n\t}\n\n\tfunction assertUnrevoked(state: any /*ES5State | MapState | SetState*/) {\n\t\tif (state.revoked_) die(3, JSON.stringify(latest(state)))\n\t}\n\n\tloadPlugin(\"ES5\", {\n\t\tcreateES5Proxy_,\n\t\twillFinalizeES5_,\n\t\thasChanges_\n\t})\n}\n","import {\n\tIProduce,\n\tIProduceWithPatches,\n\tImmer,\n\tDraft,\n\tImmutable\n} from \"./internal\"\n\nexport {\n\tDraft,\n\tImmutable,\n\tPatch,\n\tPatchListener,\n\toriginal,\n\tcurrent,\n\tisDraft,\n\tisDraftable,\n\tNOTHING as nothing,\n\tDRAFTABLE as immerable,\n\tfreeze\n} from \"./internal\"\n\nconst immer = new Immer()\n\n/**\n * The `produce` function takes a value and a \"recipe function\" (whose\n * return value often depends on the base state). The recipe function is\n * free to mutate its first argument however it wants. All mutations are\n * only ever applied to a __copy__ of the base state.\n *\n * Pass only a function to create a \"curried producer\" which relieves you\n * from passing the recipe function every time.\n *\n * Only plain objects and arrays are made mutable. All other objects are\n * considered uncopyable.\n *\n * Note: This function is __bound__ to its `Immer` instance.\n *\n * @param {any} base - the initial state\n * @param {Function} producer - function that receives a proxy of the base state as first argument and which can be freely modified\n * @param {Function} patchListener - optional function that will be called with all the patches produced here\n * @returns {any} a new state, or the initial state if nothing was modified\n */\nexport const produce: IProduce = immer.produce\nexport default produce\n\n/**\n * Like `produce`, but `produceWithPatches` always returns a tuple\n * [nextState, patches, inversePatches] (instead of just the next state)\n */\nexport const produceWithPatches: IProduceWithPatches = immer.produceWithPatches.bind(\n\timmer\n)\n\n/**\n * Pass true to automatically freeze all copies created by Immer.\n *\n * Always freeze by default, even in production mode\n */\nexport const setAutoFreeze = immer.setAutoFreeze.bind(immer)\n\n/**\n * Pass true to use the ES2015 `Proxy` class when creating drafts, which is\n * always faster than using ES5 proxies.\n *\n * By default, feature detection is used, so calling this is rarely necessary.\n */\nexport const setUseProxies = immer.setUseProxies.bind(immer)\n\n/**\n * Apply an array of Immer patches to the first argument.\n *\n * This function is a producer, which means copy-on-write is in effect.\n */\nexport const applyPatches = immer.applyPatches.bind(immer)\n\n/**\n * Create an Immer draft from the given base state, which may be a draft itself.\n * The draft can be modified until you finalize it with the `finishDraft` function.\n */\nexport const createDraft = immer.createDraft.bind(immer)\n\n/**\n * Finalize an Immer draft from a `createDraft` call, returning the base state\n * (if no changes were made) or a modified copy. The draft must *not* be\n * mutated afterwards.\n *\n * Pass a function as the 2nd argument to generate Immer patches based on the\n * changes that were made.\n */\nexport const finishDraft = immer.finishDraft.bind(immer)\n\n/**\n * This function is actually a no-op, but can be used to cast an immutable type\n * to an draft type and make TypeScript happy\n *\n * @param value\n */\nexport function castDraft(value: T): Draft {\n\treturn value as any\n}\n\n/**\n * This function is actually a no-op, but can be used to cast a mutable type\n * to an immutable type and make TypeScript happy\n * @param value\n */\nexport function castImmutable(value: T): Immutable {\n\treturn value as any\n}\n\nexport {Immer}\n\nexport {enableES5} from \"./plugins/es5\"\nexport {enablePatches} from \"./plugins/patches\"\nexport {enableMapSet} from \"./plugins/mapset\"\nexport {enableAllPlugins} from \"./plugins/all\"\n","// Should be no imports here!\n\n// Some things that should be evaluated before all else...\n\n// We only want to know if non-polyfilled symbols are available\nconst hasSymbol =\n\ttypeof Symbol !== \"undefined\" && typeof Symbol(\"x\") === \"symbol\"\nexport const hasMap = typeof Map !== \"undefined\"\nexport const hasSet = typeof Set !== \"undefined\"\nexport const hasProxies =\n\ttypeof Proxy !== \"undefined\" &&\n\ttypeof Proxy.revocable !== \"undefined\" &&\n\ttypeof Reflect !== \"undefined\"\n\n/**\n * The sentinel value returned by producers to replace the draft with undefined.\n */\nexport const NOTHING: Nothing = hasSymbol\n\t? Symbol.for(\"immer-nothing\")\n\t: ({[\"immer-nothing\"]: true} as any)\n\n/**\n * To let Immer treat your class instances as plain immutable objects\n * (albeit with a custom prototype), you must define either an instance property\n * or a static property on each of your custom classes.\n *\n * Otherwise, your class instance will never be drafted, which means it won't be\n * safe to mutate in a produce callback.\n */\nexport const DRAFTABLE: unique symbol = hasSymbol\n\t? Symbol.for(\"immer-draftable\")\n\t: (\"__$immer_draftable\" as any)\n\nexport const DRAFT_STATE: unique symbol = hasSymbol\n\t? Symbol.for(\"immer-state\")\n\t: (\"__$immer_state\" as any)\n\n// Even a polyfilled Symbol might provide Symbol.iterator\nexport const iteratorSymbol: typeof Symbol.iterator =\n\t(typeof Symbol != \"undefined\" && Symbol.iterator) || (\"@@iterator\" as any)\n\n/** Use a class type for `nothing` so its type is unique */\nexport class Nothing {\n\t// This lets us do `Exclude`\n\t// @ts-ignore\n\tprivate _!: unique symbol\n}\n","import type { Action, ActionCreator, StoreEnhancer } from 'redux'\r\nimport { compose } from 'redux'\r\n\r\n/**\r\n * @public\r\n */\r\nexport interface EnhancerOptions {\r\n /**\r\n * the instance name to be showed on the monitor page. Default value is `document.title`.\r\n * If not specified and there's no document title, it will consist of `tabId` and `instanceId`.\r\n */\r\n name?: string\r\n /**\r\n * action creators functions to be available in the Dispatcher.\r\n */\r\n actionCreators?: ActionCreator[] | { [key: string]: ActionCreator }\r\n /**\r\n * if more than one action is dispatched in the indicated interval, all new actions will be collected and sent at once.\r\n * It is the joint between performance and speed. When set to `0`, all actions will be sent instantly.\r\n * Set it to a higher value when experiencing perf issues (also `maxAge` to a lower value).\r\n *\r\n * @default 500 ms.\r\n */\r\n latency?: number\r\n /**\r\n * (> 1) - maximum allowed actions to be stored in the history tree. The oldest actions are removed once maxAge is reached. It's critical for performance.\r\n *\r\n * @default 50\r\n */\r\n maxAge?: number\r\n /**\r\n * See detailed documentation at https://github.com/reduxjs/redux-devtools/blob/%40redux-devtools/extension%403.2.1/extension/docs/API/Arguments.md#serialize\r\n */\r\n serialize?:\r\n | boolean\r\n | {\r\n options?:\r\n | boolean\r\n | {\r\n date?: boolean\r\n regex?: boolean\r\n undefined?: boolean\r\n error?: boolean\r\n symbol?: boolean\r\n map?: boolean\r\n set?: boolean\r\n function?: boolean | Function\r\n }\r\n replacer?: (key: string, value: unknown) => unknown\r\n reviver?: (key: string, value: unknown) => unknown\r\n immutable?: unknown\r\n refs?: unknown[]\r\n }\r\n /**\r\n * function which takes `action` object and id number as arguments, and should return `action` object back.\r\n */\r\n actionSanitizer?: (action: A, id: number) => A\r\n /**\r\n * function which takes `state` object and index as arguments, and should return `state` object back.\r\n */\r\n stateSanitizer?: (state: S, index: number) => S\r\n /**\r\n * *string or array of strings as regex* - actions types to be hidden / shown in the monitors (while passed to the reducers).\r\n * If `actionsWhitelist` specified, `actionsBlacklist` is ignored.\r\n */\r\n actionsBlacklist?: string | string[]\r\n /**\r\n * *string or array of strings as regex* - actions types to be hidden / shown in the monitors (while passed to the reducers).\r\n * If `actionsWhitelist` specified, `actionsBlacklist` is ignored.\r\n */\r\n actionsWhitelist?: string | string[]\r\n /**\r\n * called for every action before sending, takes `state` and `action` object, and returns `true` in case it allows sending the current data to the monitor.\r\n * Use it as a more advanced version of `actionsBlacklist`/`actionsWhitelist` parameters.\r\n */\r\n predicate?: (state: S, action: A) => boolean\r\n /**\r\n * if specified as `false`, it will not record the changes till clicking on `Start recording` button.\r\n * Available only for Redux enhancer, for others use `autoPause`.\r\n *\r\n * @default true\r\n */\r\n shouldRecordChanges?: boolean\r\n /**\r\n * if specified, whenever clicking on `Pause recording` button and there are actions in the history log, will add this action type.\r\n * If not specified, will commit when paused. Available only for Redux enhancer.\r\n *\r\n * @default \"@@PAUSED\"\"\r\n */\r\n pauseActionType?: string\r\n /**\r\n * auto pauses when the extension’s window is not opened, and so has zero impact on your app when not in use.\r\n * Not available for Redux enhancer (as it already does it but storing the data to be sent).\r\n *\r\n * @default false\r\n */\r\n autoPause?: boolean\r\n /**\r\n * if specified as `true`, it will not allow any non-monitor actions to be dispatched till clicking on `Unlock changes` button.\r\n * Available only for Redux enhancer.\r\n *\r\n * @default false\r\n */\r\n shouldStartLocked?: boolean\r\n /**\r\n * if set to `false`, will not recompute the states on hot reloading (or on replacing the reducers). Available only for Redux enhancer.\r\n *\r\n * @default true\r\n */\r\n shouldHotReload?: boolean\r\n /**\r\n * if specified as `true`, whenever there's an exception in reducers, the monitors will show the error message, and next actions will not be dispatched.\r\n *\r\n * @default false\r\n */\r\n shouldCatchErrors?: boolean\r\n /**\r\n * If you want to restrict the extension, specify the features you allow.\r\n * If not specified, all of the features are enabled. When set as an object, only those included as `true` will be allowed.\r\n * Note that except `true`/`false`, `import` and `export` can be set as `custom` (which is by default for Redux enhancer), meaning that the importing/exporting occurs on the client side.\r\n * Otherwise, you'll get/set the data right from the monitor part.\r\n */\r\n features?: {\r\n /**\r\n * start/pause recording of dispatched actions\r\n */\r\n pause?: boolean\r\n /**\r\n * lock/unlock dispatching actions and side effects\r\n */\r\n lock?: boolean\r\n /**\r\n * persist states on page reloading\r\n */\r\n persist?: boolean\r\n /**\r\n * export history of actions in a file\r\n */\r\n export?: boolean | 'custom'\r\n /**\r\n * import history of actions from a file\r\n */\r\n import?: boolean | 'custom'\r\n /**\r\n * jump back and forth (time travelling)\r\n */\r\n jump?: boolean\r\n /**\r\n * skip (cancel) actions\r\n */\r\n skip?: boolean\r\n /**\r\n * drag and drop actions in the history list\r\n */\r\n reorder?: boolean\r\n /**\r\n * dispatch custom actions or action creators\r\n */\r\n dispatch?: boolean\r\n /**\r\n * generate tests for the selected actions\r\n */\r\n test?: boolean\r\n }\r\n /**\r\n * Set to true or a stacktrace-returning function to record call stack traces for dispatched actions.\r\n * Defaults to false.\r\n */\r\n trace?: boolean | ((action: A) => string)\r\n /**\r\n * The maximum number of stack trace entries to record per action. Defaults to 10.\r\n */\r\n traceLimit?: number\r\n}\r\n\r\n/**\r\n * @public\r\n */\r\nexport const composeWithDevTools: {\r\n (options: EnhancerOptions): typeof compose\r\n (...funcs: Array>): StoreEnhancer\r\n} =\r\n typeof window !== 'undefined' &&\r\n (window as any).__REDUX_DEVTOOLS_EXTENSION_COMPOSE__\r\n ? (window as any).__REDUX_DEVTOOLS_EXTENSION_COMPOSE__\r\n : function () {\r\n if (arguments.length === 0) return undefined\r\n if (typeof arguments[0] === 'object') return compose\r\n return compose.apply(null, arguments as any as Function[])\r\n }\r\n\r\n/**\r\n * @public\r\n */\r\nexport const devToolsEnhancer: {\r\n (options: EnhancerOptions): StoreEnhancer\r\n} =\r\n typeof window !== 'undefined' && (window as any).__REDUX_DEVTOOLS_EXTENSION__\r\n ? (window as any).__REDUX_DEVTOOLS_EXTENSION__\r\n : function () {\r\n return function (noop) {\r\n return noop\r\n }\r\n }\r\n","import type { Middleware } from 'redux'\r\n\r\nexport function getTimeMeasureUtils(maxDelay: number, fnName: string) {\r\n let elapsed = 0\r\n return {\r\n measureTime(fn: () => T): T {\r\n const started = Date.now()\r\n try {\r\n return fn()\r\n } finally {\r\n const finished = Date.now()\r\n elapsed += finished - started\r\n }\r\n },\r\n warnIfExceeded() {\r\n if (elapsed > maxDelay) {\r\n console.warn(`${fnName} took ${elapsed}ms, which is more than the warning threshold of ${maxDelay}ms. \r\nIf your state or actions are very large, you may want to disable the middleware as it might cause too much of a slowdown in development mode. See https://redux-toolkit.js.org/api/getDefaultMiddleware for instructions.\r\nIt is disabled in production builds, so you don't need to worry about that.`)\r\n }\r\n },\r\n }\r\n}\r\n\r\n/**\r\n * @public\r\n */\r\nexport class MiddlewareArray<\r\n Middlewares extends Middleware\r\n> extends Array {\r\n constructor(arrayLength?: number)\r\n constructor(...items: Middlewares[])\r\n constructor(...args: any[]) {\r\n super(...args)\r\n Object.setPrototypeOf(this, MiddlewareArray.prototype)\r\n }\r\n\r\n static get [Symbol.species]() {\r\n return MiddlewareArray as any\r\n }\r\n\r\n concat>>(\r\n items: AdditionalMiddlewares\r\n ): MiddlewareArray\r\n\r\n concat>>(\r\n ...items: AdditionalMiddlewares\r\n ): MiddlewareArray\r\n concat(...arr: any[]) {\r\n return super.concat.apply(this, arr)\r\n }\r\n\r\n prepend>>(\r\n items: AdditionalMiddlewares\r\n ): MiddlewareArray\r\n\r\n prepend>>(\r\n ...items: AdditionalMiddlewares\r\n ): MiddlewareArray\r\n\r\n prepend(...arr: any[]) {\r\n if (arr.length === 1 && Array.isArray(arr[0])) {\r\n return new MiddlewareArray(...arr[0].concat(this))\r\n }\r\n return new MiddlewareArray(...arr.concat(this))\r\n }\r\n}\r\n","import type { Action } from 'redux'\r\nimport type {\r\n IsUnknownOrNonInferrable,\r\n IfMaybeUndefined,\r\n IfVoid,\r\n IsAny,\r\n} from './tsHelpers'\r\nimport isPlainObject from './isPlainObject'\r\n\r\n/**\r\n * An action with a string type and an associated payload. This is the\r\n * type of action returned by `createAction()` action creators.\r\n *\r\n * @template P The type of the action's payload.\r\n * @template T the type used for the action type.\r\n * @template M The type of the action's meta (optional)\r\n * @template E The type of the action's error (optional)\r\n *\r\n * @public\r\n */\r\nexport type PayloadAction<\r\n P = void,\r\n T extends string = string,\r\n M = never,\r\n E = never\r\n> = {\r\n payload: P\r\n type: T\r\n} & ([M] extends [never]\r\n ? {}\r\n : {\r\n meta: M\r\n }) &\r\n ([E] extends [never]\r\n ? {}\r\n : {\r\n error: E\r\n })\r\n\r\n/**\r\n * A \"prepare\" method to be used as the second parameter of `createAction`.\r\n * Takes any number of arguments and returns a Flux Standard Action without\r\n * type (will be added later) that *must* contain a payload (might be undefined).\r\n *\r\n * @public\r\n */\r\nexport type PrepareAction

=\r\n | ((...args: any[]) => { payload: P })\r\n | ((...args: any[]) => { payload: P; meta: any })\r\n | ((...args: any[]) => { payload: P; error: any })\r\n | ((...args: any[]) => { payload: P; meta: any; error: any })\r\n\r\n/**\r\n * Internal version of `ActionCreatorWithPreparedPayload`. Not to be used externally.\r\n *\r\n * @internal\r\n */\r\nexport type _ActionCreatorWithPreparedPayload<\r\n PA extends PrepareAction | void,\r\n T extends string = string\r\n> = PA extends PrepareAction\r\n ? ActionCreatorWithPreparedPayload<\r\n Parameters,\r\n P,\r\n T,\r\n ReturnType extends {\r\n error: infer E\r\n }\r\n ? E\r\n : never,\r\n ReturnType extends {\r\n meta: infer M\r\n }\r\n ? M\r\n : never\r\n >\r\n : void\r\n\r\n/**\r\n * Basic type for all action creators.\r\n *\r\n * @inheritdoc {redux#ActionCreator}\r\n */\r\ninterface BaseActionCreator {\r\n type: T\r\n match: (action: Action) => action is PayloadAction\r\n}\r\n\r\n/**\r\n * An action creator that takes multiple arguments that are passed\r\n * to a `PrepareAction` method to create the final Action.\r\n * @typeParam Args arguments for the action creator function\r\n * @typeParam P `payload` type\r\n * @typeParam T `type` name\r\n * @typeParam E optional `error` type\r\n * @typeParam M optional `meta` type\r\n *\r\n * @inheritdoc {redux#ActionCreator}\r\n *\r\n * @public\r\n */\r\nexport interface ActionCreatorWithPreparedPayload<\r\n Args extends unknown[],\r\n P,\r\n T extends string = string,\r\n E = never,\r\n M = never\r\n> extends BaseActionCreator {\r\n /**\r\n * Calling this {@link redux#ActionCreator} with `Args` will return\r\n * an Action with a payload of type `P` and (depending on the `PrepareAction`\r\n * method used) a `meta`- and `error` property of types `M` and `E` respectively.\r\n */\r\n (...args: Args): PayloadAction\r\n}\r\n\r\n/**\r\n * An action creator of type `T` that takes an optional payload of type `P`.\r\n *\r\n * @inheritdoc {redux#ActionCreator}\r\n *\r\n * @public\r\n */\r\nexport interface ActionCreatorWithOptionalPayload\r\n extends BaseActionCreator {\r\n /**\r\n * Calling this {@link redux#ActionCreator} with an argument will\r\n * return a {@link PayloadAction} of type `T` with a payload of `P`.\r\n * Calling it without an argument will return a PayloadAction with a payload of `undefined`.\r\n */\r\n (payload?: P): PayloadAction\r\n}\r\n\r\n/**\r\n * An action creator of type `T` that takes no payload.\r\n *\r\n * @inheritdoc {redux#ActionCreator}\r\n *\r\n * @public\r\n */\r\nexport interface ActionCreatorWithoutPayload\r\n extends BaseActionCreator {\r\n /**\r\n * Calling this {@link redux#ActionCreator} will\r\n * return a {@link PayloadAction} of type `T` with a payload of `undefined`\r\n */\r\n (): PayloadAction\r\n}\r\n\r\n/**\r\n * An action creator of type `T` that requires a payload of type P.\r\n *\r\n * @inheritdoc {redux#ActionCreator}\r\n *\r\n * @public\r\n */\r\nexport interface ActionCreatorWithPayload\r\n extends BaseActionCreator {\r\n /**\r\n * Calling this {@link redux#ActionCreator} with an argument will\r\n * return a {@link PayloadAction} of type `T` with a payload of `P`\r\n */\r\n (payload: P): PayloadAction\r\n}\r\n\r\n/**\r\n * An action creator of type `T` whose `payload` type could not be inferred. Accepts everything as `payload`.\r\n *\r\n * @inheritdoc {redux#ActionCreator}\r\n *\r\n * @public\r\n */\r\nexport interface ActionCreatorWithNonInferrablePayload<\r\n T extends string = string\r\n> extends BaseActionCreator {\r\n /**\r\n * Calling this {@link redux#ActionCreator} with an argument will\r\n * return a {@link PayloadAction} of type `T` with a payload\r\n * of exactly the type of the argument.\r\n */\r\n (payload: PT): PayloadAction\r\n}\r\n\r\n/**\r\n * An action creator that produces actions with a `payload` attribute.\r\n *\r\n * @typeParam P the `payload` type\r\n * @typeParam T the `type` of the resulting action\r\n * @typeParam PA if the resulting action is preprocessed by a `prepare` method, the signature of said method.\r\n *\r\n * @public\r\n */\r\nexport type PayloadActionCreator<\r\n P = void,\r\n T extends string = string,\r\n PA extends PrepareAction

| void = void\r\n> = IfPrepareActionMethodProvided<\r\n PA,\r\n _ActionCreatorWithPreparedPayload,\r\n // else\r\n IsAny<\r\n P,\r\n ActionCreatorWithPayload,\r\n IsUnknownOrNonInferrable<\r\n P,\r\n ActionCreatorWithNonInferrablePayload,\r\n // else\r\n IfVoid<\r\n P,\r\n ActionCreatorWithoutPayload,\r\n // else\r\n IfMaybeUndefined<\r\n P,\r\n ActionCreatorWithOptionalPayload,\r\n // else\r\n ActionCreatorWithPayload\r\n >\r\n >\r\n >\r\n >\r\n>\r\n\r\n/**\r\n * A utility function to create an action creator for the given action type\r\n * string. The action creator accepts a single argument, which will be included\r\n * in the action object as a field called payload. The action creator function\r\n * will also have its toString() overriden so that it returns the action type,\r\n * allowing it to be used in reducer logic that is looking for that action type.\r\n *\r\n * @param type The action type to use for created actions.\r\n * @param prepare (optional) a method that takes any number of arguments and returns { payload } or { payload, meta }.\r\n * If this is given, the resulting action creator will pass its arguments to this method to calculate payload & meta.\r\n *\r\n * @public\r\n */\r\nexport function createAction

(\r\n type: T\r\n): PayloadActionCreator\r\n\r\n/**\r\n * A utility function to create an action creator for the given action type\r\n * string. The action creator accepts a single argument, which will be included\r\n * in the action object as a field called payload. The action creator function\r\n * will also have its toString() overriden so that it returns the action type,\r\n * allowing it to be used in reducer logic that is looking for that action type.\r\n *\r\n * @param type The action type to use for created actions.\r\n * @param prepare (optional) a method that takes any number of arguments and returns { payload } or { payload, meta }.\r\n * If this is given, the resulting action creator will pass its arguments to this method to calculate payload & meta.\r\n *\r\n * @public\r\n */\r\nexport function createAction<\r\n PA extends PrepareAction,\r\n T extends string = string\r\n>(\r\n type: T,\r\n prepareAction: PA\r\n): PayloadActionCreator['payload'], T, PA>\r\n\r\nexport function createAction(type: string, prepareAction?: Function): any {\r\n function actionCreator(...args: any[]) {\r\n if (prepareAction) {\r\n let prepared = prepareAction(...args)\r\n if (!prepared) {\r\n throw new Error('prepareAction did not return an object')\r\n }\r\n\r\n return {\r\n type,\r\n payload: prepared.payload,\r\n ...('meta' in prepared && { meta: prepared.meta }),\r\n ...('error' in prepared && { error: prepared.error }),\r\n }\r\n }\r\n return { type, payload: args[0] }\r\n }\r\n\r\n actionCreator.toString = () => `${type}`\r\n\r\n actionCreator.type = type\r\n\r\n actionCreator.match = (action: Action): action is PayloadAction =>\r\n action.type === type\r\n\r\n return actionCreator\r\n}\r\n\r\nexport function isFSA(action: unknown): action is {\r\n type: string\r\n payload?: unknown\r\n error?: unknown\r\n meta?: unknown\r\n} {\r\n return (\r\n isPlainObject(action) &&\r\n typeof (action as any).type === 'string' &&\r\n Object.keys(action).every(isValidKey)\r\n )\r\n}\r\n\r\nfunction isValidKey(key: string) {\r\n return ['type', 'payload', 'error', 'meta'].indexOf(key) > -1\r\n}\r\n\r\n/**\r\n * Returns the action type of the actions created by the passed\r\n * `createAction()`-generated action creator (arbitrary action creators\r\n * are not supported).\r\n *\r\n * @param action The action creator whose action type to get.\r\n * @returns The action type used by the action creator.\r\n *\r\n * @public\r\n */\r\nexport function getType(\r\n actionCreator: PayloadActionCreator\r\n): T {\r\n return `${actionCreator}` as T\r\n}\r\n\r\n// helper types for more readable typings\r\n\r\ntype IfPrepareActionMethodProvided<\r\n PA extends PrepareAction | void,\r\n True,\r\n False\r\n> = PA extends (...args: any[]) => any ? True : False\r\n","import type { Action, AnyAction } from 'redux'\r\nimport type {\r\n CaseReducer,\r\n CaseReducers,\r\n ActionMatcherDescriptionCollection,\r\n} from './createReducer'\r\nimport type { TypeGuard } from './tsHelpers'\r\n\r\nexport interface TypedActionCreator {\r\n (...args: any[]): Action\r\n type: Type\r\n}\r\n\r\n/**\r\n * A builder for an action <-> reducer map.\r\n *\r\n * @public\r\n */\r\nexport interface ActionReducerMapBuilder {\r\n /**\r\n * Adds a case reducer to handle a single exact action type.\r\n * @remarks\r\n * All calls to `builder.addCase` must come before any calls to `builder.addMatcher` or `builder.addDefaultCase`.\r\n * @param actionCreator - Either a plain action type string, or an action creator generated by [`createAction`](./createAction) that can be used to determine the action type.\r\n * @param reducer - The actual case reducer function.\r\n */\r\n addCase>(\r\n actionCreator: ActionCreator,\r\n reducer: CaseReducer>\r\n ): ActionReducerMapBuilder\r\n /**\r\n * Adds a case reducer to handle a single exact action type.\r\n * @remarks\r\n * All calls to `builder.addCase` must come before any calls to `builder.addMatcher` or `builder.addDefaultCase`.\r\n * @param actionCreator - Either a plain action type string, or an action creator generated by [`createAction`](./createAction) that can be used to determine the action type.\r\n * @param reducer - The actual case reducer function.\r\n */\r\n addCase>(\r\n type: Type,\r\n reducer: CaseReducer\r\n ): ActionReducerMapBuilder\r\n\r\n /**\r\n * Allows you to match your incoming actions against your own filter function instead of only the `action.type` property.\r\n * @remarks\r\n * If multiple matcher reducers match, all of them will be executed in the order\r\n * they were defined in - even if a case reducer already matched.\r\n * All calls to `builder.addMatcher` must come after any calls to `builder.addCase` and before any calls to `builder.addDefaultCase`.\r\n * @param matcher - A matcher function. In TypeScript, this should be a [type predicate](https://www.typescriptlang.org/docs/handbook/advanced-types.html#using-type-predicates)\r\n * function\r\n * @param reducer - The actual case reducer function.\r\n *\r\n * @example\r\n```ts\r\nimport {\r\n createAction,\r\n createReducer,\r\n AsyncThunk,\r\n AnyAction,\r\n} from \"@reduxjs/toolkit\";\r\n\r\ntype GenericAsyncThunk = AsyncThunk;\r\n\r\ntype PendingAction = ReturnType;\r\ntype RejectedAction = ReturnType;\r\ntype FulfilledAction = ReturnType;\r\n\r\nconst initialState: Record = {};\r\nconst resetAction = createAction(\"reset-tracked-loading-state\");\r\n\r\nfunction isPendingAction(action: AnyAction): action is PendingAction {\r\n return action.type.endsWith(\"/pending\");\r\n}\r\n\r\nconst reducer = createReducer(initialState, (builder) => {\r\n builder\r\n .addCase(resetAction, () => initialState)\r\n // matcher can be defined outside as a type predicate function\r\n .addMatcher(isPendingAction, (state, action) => {\r\n state[action.meta.requestId] = \"pending\";\r\n })\r\n .addMatcher(\r\n // matcher can be defined inline as a type predicate function\r\n (action): action is RejectedAction => action.type.endsWith(\"/rejected\"),\r\n (state, action) => {\r\n state[action.meta.requestId] = \"rejected\";\r\n }\r\n )\r\n // matcher can just return boolean and the matcher can receive a generic argument\r\n .addMatcher(\r\n (action) => action.type.endsWith(\"/fulfilled\"),\r\n (state, action) => {\r\n state[action.meta.requestId] = \"fulfilled\";\r\n }\r\n );\r\n});\r\n```\r\n */\r\n addMatcher(\r\n matcher: TypeGuard | ((action: any) => boolean),\r\n reducer: CaseReducer\r\n ): Omit, 'addCase'>\r\n\r\n /**\r\n * Adds a \"default case\" reducer that is executed if no case reducer and no matcher\r\n * reducer was executed for this action.\r\n * @param reducer - The fallback \"default case\" reducer function.\r\n *\r\n * @example\r\n```ts\r\nimport { createReducer } from '@reduxjs/toolkit'\r\nconst initialState = { otherActions: 0 }\r\nconst reducer = createReducer(initialState, builder => {\r\n builder\r\n // .addCase(...)\r\n // .addMatcher(...)\r\n .addDefaultCase((state, action) => {\r\n state.otherActions++\r\n })\r\n})\r\n```\r\n */\r\n addDefaultCase(reducer: CaseReducer): {}\r\n}\r\n\r\nexport function executeReducerBuilderCallback(\r\n builderCallback: (builder: ActionReducerMapBuilder) => void\r\n): [\r\n CaseReducers,\r\n ActionMatcherDescriptionCollection,\r\n CaseReducer | undefined\r\n] {\r\n const actionsMap: CaseReducers = {}\r\n const actionMatchers: ActionMatcherDescriptionCollection = []\r\n let defaultCaseReducer: CaseReducer | undefined\r\n const builder = {\r\n addCase(\r\n typeOrActionCreator: string | TypedActionCreator,\r\n reducer: CaseReducer\r\n ) {\r\n if (process.env.NODE_ENV !== 'production') {\r\n /*\r\n to keep the definition by the user in line with actual behavior, \r\n we enforce `addCase` to always be called before calling `addMatcher`\r\n as matching cases take precedence over matchers\r\n */\r\n if (actionMatchers.length > 0) {\r\n throw new Error(\r\n '`builder.addCase` should only be called before calling `builder.addMatcher`'\r\n )\r\n }\r\n if (defaultCaseReducer) {\r\n throw new Error(\r\n '`builder.addCase` should only be called before calling `builder.addDefaultCase`'\r\n )\r\n }\r\n }\r\n const type =\r\n typeof typeOrActionCreator === 'string'\r\n ? typeOrActionCreator\r\n : typeOrActionCreator.type\r\n if (type in actionsMap) {\r\n throw new Error(\r\n 'addCase cannot be called with two reducers for the same action type'\r\n )\r\n }\r\n actionsMap[type] = reducer\r\n return builder\r\n },\r\n addMatcher(\r\n matcher: TypeGuard,\r\n reducer: CaseReducer\r\n ) {\r\n if (process.env.NODE_ENV !== 'production') {\r\n if (defaultCaseReducer) {\r\n throw new Error(\r\n '`builder.addMatcher` should only be called before calling `builder.addDefaultCase`'\r\n )\r\n }\r\n }\r\n actionMatchers.push({ matcher, reducer })\r\n return builder\r\n },\r\n addDefaultCase(reducer: CaseReducer) {\r\n if (process.env.NODE_ENV !== 'production') {\r\n if (defaultCaseReducer) {\r\n throw new Error('`builder.addDefaultCase` can only be called once')\r\n }\r\n }\r\n defaultCaseReducer = reducer\r\n return builder\r\n },\r\n }\r\n builderCallback(builder)\r\n return [actionsMap, actionMatchers, defaultCaseReducer]\r\n}\r\n","import type { AnyAction, Reducer } from 'redux'\r\nimport { createNextState } from '.'\r\nimport type {\r\n ActionCreatorWithoutPayload,\r\n PayloadAction,\r\n PayloadActionCreator,\r\n PrepareAction,\r\n _ActionCreatorWithPreparedPayload,\r\n} from './createAction'\r\nimport { createAction } from './createAction'\r\nimport type {\r\n CaseReducer,\r\n CaseReducers,\r\n ReducerWithInitialState,\r\n} from './createReducer'\r\nimport { createReducer, NotFunction } from './createReducer'\r\nimport type { ActionReducerMapBuilder } from './mapBuilders'\r\nimport { executeReducerBuilderCallback } from './mapBuilders'\r\nimport type { NoInfer } from './tsHelpers'\r\n\r\n/**\r\n * An action creator attached to a slice.\r\n *\r\n * @deprecated please use PayloadActionCreator directly\r\n *\r\n * @public\r\n */\r\nexport type SliceActionCreator

= PayloadActionCreator

\r\n\r\n/**\r\n * The return value of `createSlice`\r\n *\r\n * @public\r\n */\r\nexport interface Slice<\r\n State = any,\r\n CaseReducers extends SliceCaseReducers = SliceCaseReducers,\r\n Name extends string = string\r\n> {\r\n /**\r\n * The slice name.\r\n */\r\n name: Name\r\n\r\n /**\r\n * The slice's reducer.\r\n */\r\n reducer: Reducer\r\n\r\n /**\r\n * Action creators for the types of actions that are handled by the slice\r\n * reducer.\r\n */\r\n actions: CaseReducerActions\r\n\r\n /**\r\n * The individual case reducer functions that were passed in the `reducers` parameter.\r\n * This enables reuse and testing if they were defined inline when calling `createSlice`.\r\n */\r\n caseReducers: SliceDefinedCaseReducers\r\n\r\n /**\r\n * Provides access to the initial state value given to the slice.\r\n * If a lazy state initializer was provided, it will be called and a fresh value returned.\r\n */\r\n getInitialState: () => State\r\n}\r\n\r\n/**\r\n * Options for `createSlice()`.\r\n *\r\n * @public\r\n */\r\nexport interface CreateSliceOptions<\r\n State = any,\r\n CR extends SliceCaseReducers = SliceCaseReducers,\r\n Name extends string = string\r\n> {\r\n /**\r\n * The slice's name. Used to namespace the generated action types.\r\n */\r\n name: Name\r\n\r\n /**\r\n * The initial state that should be used when the reducer is called the first time. This may also be a \"lazy initializer\" function, which should return an initial state value when called. This will be used whenever the reducer is called with `undefined` as its state value, and is primarily useful for cases like reading initial state from `localStorage`.\r\n */\r\n initialState: State | (() => State)\r\n\r\n /**\r\n * A mapping from action types to action-type-specific *case reducer*\r\n * functions. For every action type, a matching action creator will be\r\n * generated using `createAction()`.\r\n */\r\n reducers: ValidateSliceCaseReducers\r\n\r\n /**\r\n * A callback that receives a *builder* object to define\r\n * case reducers via calls to `builder.addCase(actionCreatorOrType, reducer)`.\r\n * \r\n * Alternatively, a mapping from action types to action-type-specific *case reducer*\r\n * functions. These reducers should have existing action types used\r\n * as the keys, and action creators will _not_ be generated.\r\n * \r\n * @example\r\n```ts\r\nimport { createAction, createSlice, Action, AnyAction } from '@reduxjs/toolkit'\r\nconst incrementBy = createAction('incrementBy')\r\nconst decrement = createAction('decrement')\r\n\r\ninterface RejectedAction extends Action {\r\n error: Error\r\n}\r\n\r\nfunction isRejectedAction(action: AnyAction): action is RejectedAction {\r\n return action.type.endsWith('rejected')\r\n}\r\n\r\ncreateSlice({\r\n name: 'counter',\r\n initialState: 0,\r\n reducers: {},\r\n extraReducers: builder => {\r\n builder\r\n .addCase(incrementBy, (state, action) => {\r\n // action is inferred correctly here if using TS\r\n })\r\n // You can chain calls, or have separate `builder.addCase()` lines each time\r\n .addCase(decrement, (state, action) => {})\r\n // You can match a range of action types\r\n .addMatcher(\r\n isRejectedAction,\r\n // `action` will be inferred as a RejectedAction due to isRejectedAction being defined as a type guard\r\n (state, action) => {}\r\n )\r\n // and provide a default case if no other handlers matched\r\n .addDefaultCase((state, action) => {})\r\n }\r\n})\r\n```\r\n */\r\n extraReducers?:\r\n | CaseReducers, any>\r\n | ((builder: ActionReducerMapBuilder>) => void)\r\n}\r\n\r\n/**\r\n * A CaseReducer with a `prepare` method.\r\n *\r\n * @public\r\n */\r\nexport type CaseReducerWithPrepare = {\r\n reducer: CaseReducer\r\n prepare: PrepareAction\r\n}\r\n\r\n/**\r\n * The type describing a slice's `reducers` option.\r\n *\r\n * @public\r\n */\r\nexport type SliceCaseReducers = {\r\n [K: string]:\r\n | CaseReducer>\r\n | CaseReducerWithPrepare>\r\n}\r\n\r\n/**\r\n * Derives the slice's `actions` property from the `reducers` options\r\n *\r\n * @public\r\n */\r\nexport type CaseReducerActions> = {\r\n [Type in keyof CaseReducers]: CaseReducers[Type] extends { prepare: any }\r\n ? ActionCreatorForCaseReducerWithPrepare\r\n : ActionCreatorForCaseReducer\r\n}\r\n\r\n/**\r\n * Get a `PayloadActionCreator` type for a passed `CaseReducerWithPrepare`\r\n *\r\n * @internal\r\n */\r\ntype ActionCreatorForCaseReducerWithPrepare =\r\n _ActionCreatorWithPreparedPayload\r\n\r\n/**\r\n * Get a `PayloadActionCreator` type for a passed `CaseReducer`\r\n *\r\n * @internal\r\n */\r\ntype ActionCreatorForCaseReducer = CR extends (\r\n state: any,\r\n action: infer Action\r\n) => any\r\n ? Action extends { payload: infer P }\r\n ? PayloadActionCreator

\r\n : ActionCreatorWithoutPayload\r\n : ActionCreatorWithoutPayload\r\n\r\n/**\r\n * Extracts the CaseReducers out of a `reducers` object, even if they are\r\n * tested into a `CaseReducerWithPrepare`.\r\n *\r\n * @internal\r\n */\r\ntype SliceDefinedCaseReducers> = {\r\n [Type in keyof CaseReducers]: CaseReducers[Type] extends {\r\n reducer: infer Reducer\r\n }\r\n ? Reducer\r\n : CaseReducers[Type]\r\n}\r\n\r\n/**\r\n * Used on a SliceCaseReducers object.\r\n * Ensures that if a CaseReducer is a `CaseReducerWithPrepare`, that\r\n * the `reducer` and the `prepare` function use the same type of `payload`.\r\n *\r\n * Might do additional such checks in the future.\r\n *\r\n * This type is only ever useful if you want to write your own wrapper around\r\n * `createSlice`. Please don't use it otherwise!\r\n *\r\n * @public\r\n */\r\nexport type ValidateSliceCaseReducers<\r\n S,\r\n ACR extends SliceCaseReducers\r\n> = ACR &\r\n {\r\n [T in keyof ACR]: ACR[T] extends {\r\n reducer(s: S, action?: infer A): any\r\n }\r\n ? {\r\n prepare(...a: never[]): Omit\r\n }\r\n : {}\r\n }\r\n\r\nfunction getType(slice: string, actionKey: string): string {\r\n return `${slice}/${actionKey}`\r\n}\r\n\r\n/**\r\n * A function that accepts an initial state, an object full of reducer\r\n * functions, and a \"slice name\", and automatically generates\r\n * action creators and action types that correspond to the\r\n * reducers and state.\r\n *\r\n * The `reducer` argument is passed to `createReducer()`.\r\n *\r\n * @public\r\n */\r\nexport function createSlice<\r\n State,\r\n CaseReducers extends SliceCaseReducers,\r\n Name extends string = string\r\n>(\r\n options: CreateSliceOptions\r\n): Slice {\r\n const { name } = options\r\n if (!name) {\r\n throw new Error('`name` is a required option for createSlice')\r\n }\r\n const initialState =\r\n typeof options.initialState == 'function'\r\n ? options.initialState\r\n : createNextState(options.initialState, () => {})\r\n\r\n const reducers = options.reducers || {}\r\n\r\n const reducerNames = Object.keys(reducers)\r\n\r\n const sliceCaseReducersByName: Record = {}\r\n const sliceCaseReducersByType: Record = {}\r\n const actionCreators: Record = {}\r\n\r\n reducerNames.forEach((reducerName) => {\r\n const maybeReducerWithPrepare = reducers[reducerName]\r\n const type = getType(name, reducerName)\r\n\r\n let caseReducer: CaseReducer\r\n let prepareCallback: PrepareAction | undefined\r\n\r\n if ('reducer' in maybeReducerWithPrepare) {\r\n caseReducer = maybeReducerWithPrepare.reducer\r\n prepareCallback = maybeReducerWithPrepare.prepare\r\n } else {\r\n caseReducer = maybeReducerWithPrepare\r\n }\r\n\r\n sliceCaseReducersByName[reducerName] = caseReducer\r\n sliceCaseReducersByType[type] = caseReducer\r\n actionCreators[reducerName] = prepareCallback\r\n ? createAction(type, prepareCallback)\r\n : createAction(type)\r\n })\r\n\r\n function buildReducer() {\r\n const [\r\n extraReducers = {},\r\n actionMatchers = [],\r\n defaultCaseReducer = undefined,\r\n ] =\r\n typeof options.extraReducers === 'function'\r\n ? executeReducerBuilderCallback(options.extraReducers)\r\n : [options.extraReducers]\r\n\r\n const finalCaseReducers = { ...extraReducers, ...sliceCaseReducersByType }\r\n return createReducer(\r\n initialState,\r\n finalCaseReducers as any,\r\n actionMatchers,\r\n defaultCaseReducer\r\n )\r\n }\r\n\r\n let _reducer: ReducerWithInitialState\r\n\r\n return {\r\n name,\r\n reducer(state, action) {\r\n if (!_reducer) _reducer = buildReducer()\r\n\r\n return _reducer(state, action)\r\n },\r\n actions: actionCreators as any,\r\n caseReducers: sliceCaseReducersByName as any,\r\n getInitialState() {\r\n if (!_reducer) _reducer = buildReducer()\r\n\r\n return _reducer.getInitialState()\r\n },\r\n }\r\n}\r\n","import type { Draft } from 'immer'\r\nimport createNextState, { isDraft, isDraftable } from 'immer'\r\nimport type { AnyAction, Action, Reducer } from 'redux'\r\nimport type { ActionReducerMapBuilder } from './mapBuilders'\r\nimport { executeReducerBuilderCallback } from './mapBuilders'\r\nimport type { NoInfer } from './tsHelpers'\r\n\r\n/**\r\n * Defines a mapping from action types to corresponding action object shapes.\r\n *\r\n * @deprecated This should not be used manually - it is only used for internal\r\n * inference purposes and should not have any further value.\r\n * It might be removed in the future.\r\n * @public\r\n */\r\nexport type Actions = Record\r\n\r\n/**\r\n * @deprecated use `TypeGuard` instead\r\n */\r\nexport interface ActionMatcher {\r\n (action: AnyAction): action is A\r\n}\r\n\r\nexport type ActionMatcherDescription = {\r\n matcher: ActionMatcher\r\n reducer: CaseReducer>\r\n}\r\n\r\nexport type ReadonlyActionMatcherDescriptionCollection = ReadonlyArray<\r\n ActionMatcherDescription\r\n>\r\n\r\nexport type ActionMatcherDescriptionCollection = Array<\r\n ActionMatcherDescription\r\n>\r\n\r\n/**\r\n * An *case reducer* is a reducer function for a specific action type. Case\r\n * reducers can be composed to full reducers using `createReducer()`.\r\n *\r\n * Unlike a normal Redux reducer, a case reducer is never called with an\r\n * `undefined` state to determine the initial state. Instead, the initial\r\n * state is explicitly specified as an argument to `createReducer()`.\r\n *\r\n * In addition, a case reducer can choose to mutate the passed-in `state`\r\n * value directly instead of returning a new state. This does not actually\r\n * cause the store state to be mutated directly; instead, thanks to\r\n * [immer](https://github.com/mweststrate/immer), the mutations are\r\n * translated to copy operations that result in a new state.\r\n *\r\n * @public\r\n */\r\nexport type CaseReducer = (\r\n state: Draft,\r\n action: A\r\n) => S | void | Draft\r\n\r\n/**\r\n * A mapping from action types to case reducers for `createReducer()`.\r\n *\r\n * @deprecated This should not be used manually - it is only used\r\n * for internal inference purposes and using it manually\r\n * would lead to type erasure.\r\n * It might be removed in the future.\r\n * @public\r\n */\r\nexport type CaseReducers = {\r\n [T in keyof AS]: AS[T] extends Action ? CaseReducer : void\r\n}\r\n\r\nexport type NotFunction = T extends Function ? never : T\r\n\r\nfunction isStateFunction(x: unknown): x is () => S {\r\n return typeof x === 'function'\r\n}\r\n\r\nexport type ReducerWithInitialState> = Reducer & {\r\n getInitialState: () => S\r\n}\r\n\r\n/**\r\n * A utility function that allows defining a reducer as a mapping from action\r\n * type to *case reducer* functions that handle these action types. The\r\n * reducer's initial state is passed as the first argument.\r\n *\r\n * @remarks\r\n * The body of every case reducer is implicitly wrapped with a call to\r\n * `produce()` from the [immer](https://github.com/mweststrate/immer) library.\r\n * This means that rather than returning a new state object, you can also\r\n * mutate the passed-in state object directly; these mutations will then be\r\n * automatically and efficiently translated into copies, giving you both\r\n * convenience and immutability.\r\n *\r\n * @overloadSummary\r\n * This overload accepts a callback function that receives a `builder` object as its argument.\r\n * That builder provides `addCase`, `addMatcher` and `addDefaultCase` functions that may be\r\n * called to define what actions this reducer will handle.\r\n *\r\n * @param initialState - `State | (() => State)`: The initial state that should be used when the reducer is called the first time. This may also be a \"lazy initializer\" function, which should return an initial state value when called. This will be used whenever the reducer is called with `undefined` as its state value, and is primarily useful for cases like reading initial state from `localStorage`.\r\n * @param builderCallback - `(builder: Builder) => void` A callback that receives a *builder* object to define\r\n * case reducers via calls to `builder.addCase(actionCreatorOrType, reducer)`.\r\n * @example\r\n```ts\r\nimport {\r\n createAction,\r\n createReducer,\r\n AnyAction,\r\n PayloadAction,\r\n} from \"@reduxjs/toolkit\";\r\n\r\nconst increment = createAction(\"increment\");\r\nconst decrement = createAction(\"decrement\");\r\n\r\nfunction isActionWithNumberPayload(\r\n action: AnyAction\r\n): action is PayloadAction {\r\n return typeof action.payload === \"number\";\r\n}\r\n\r\nconst reducer = createReducer(\r\n {\r\n counter: 0,\r\n sumOfNumberPayloads: 0,\r\n unhandledActions: 0,\r\n },\r\n (builder) => {\r\n builder\r\n .addCase(increment, (state, action) => {\r\n // action is inferred correctly here\r\n state.counter += action.payload;\r\n })\r\n // You can chain calls, or have separate `builder.addCase()` lines each time\r\n .addCase(decrement, (state, action) => {\r\n state.counter -= action.payload;\r\n })\r\n // You can apply a \"matcher function\" to incoming actions\r\n .addMatcher(isActionWithNumberPayload, (state, action) => {})\r\n // and provide a default case if no other handlers matched\r\n .addDefaultCase((state, action) => {});\r\n }\r\n);\r\n```\r\n * @public\r\n */\r\nexport function createReducer>(\r\n initialState: S | (() => S),\r\n builderCallback: (builder: ActionReducerMapBuilder) => void\r\n): ReducerWithInitialState\r\n\r\n/**\r\n * A utility function that allows defining a reducer as a mapping from action\r\n * type to *case reducer* functions that handle these action types. The\r\n * reducer's initial state is passed as the first argument.\r\n *\r\n * The body of every case reducer is implicitly wrapped with a call to\r\n * `produce()` from the [immer](https://github.com/mweststrate/immer) library.\r\n * This means that rather than returning a new state object, you can also\r\n * mutate the passed-in state object directly; these mutations will then be\r\n * automatically and efficiently translated into copies, giving you both\r\n * convenience and immutability.\r\n * \r\n * @overloadSummary\r\n * This overload accepts an object where the keys are string action types, and the values\r\n * are case reducer functions to handle those action types.\r\n *\r\n * @param initialState - `State | (() => State)`: The initial state that should be used when the reducer is called the first time. This may also be a \"lazy initializer\" function, which should return an initial state value when called. This will be used whenever the reducer is called with `undefined` as its state value, and is primarily useful for cases like reading initial state from `localStorage`.\r\n * @param actionsMap - An object mapping from action types to _case reducers_, each of which handles one specific action type.\r\n * @param actionMatchers - An array of matcher definitions in the form `{matcher, reducer}`.\r\n * All matching reducers will be executed in order, independently if a case reducer matched or not.\r\n * @param defaultCaseReducer - A \"default case\" reducer that is executed if no case reducer and no matcher\r\n * reducer was executed for this action.\r\n *\r\n * @example\r\n```js\r\nconst counterReducer = createReducer(0, {\r\n increment: (state, action) => state + action.payload,\r\n decrement: (state, action) => state - action.payload\r\n})\r\n\r\n// Alternately, use a \"lazy initializer\" to provide the initial state\r\n// (works with either form of createReducer)\r\nconst initialState = () => 0\r\nconst counterReducer = createReducer(initialState, {\r\n increment: (state, action) => state + action.payload,\r\n decrement: (state, action) => state - action.payload\r\n})\r\n```\r\n \r\n * Action creators that were generated using [`createAction`](./createAction) may be used directly as the keys here, using computed property syntax:\r\n\r\n```js\r\nconst increment = createAction('increment')\r\nconst decrement = createAction('decrement')\r\n\r\nconst counterReducer = createReducer(0, {\r\n [increment]: (state, action) => state + action.payload,\r\n [decrement.type]: (state, action) => state - action.payload\r\n})\r\n```\r\n * @public\r\n */\r\nexport function createReducer<\r\n S extends NotFunction,\r\n CR extends CaseReducers = CaseReducers\r\n>(\r\n initialState: S | (() => S),\r\n actionsMap: CR,\r\n actionMatchers?: ActionMatcherDescriptionCollection,\r\n defaultCaseReducer?: CaseReducer\r\n): ReducerWithInitialState\r\n\r\nexport function createReducer>(\r\n initialState: S | (() => S),\r\n mapOrBuilderCallback:\r\n | CaseReducers\r\n | ((builder: ActionReducerMapBuilder) => void),\r\n actionMatchers: ReadonlyActionMatcherDescriptionCollection = [],\r\n defaultCaseReducer?: CaseReducer\r\n): ReducerWithInitialState {\r\n let [actionsMap, finalActionMatchers, finalDefaultCaseReducer] =\r\n typeof mapOrBuilderCallback === 'function'\r\n ? executeReducerBuilderCallback(mapOrBuilderCallback)\r\n : [mapOrBuilderCallback, actionMatchers, defaultCaseReducer]\r\n\r\n // Ensure the initial state gets frozen either way\r\n let getInitialState: () => S\r\n if (isStateFunction(initialState)) {\r\n getInitialState = () => createNextState(initialState(), () => {})\r\n } else {\r\n const frozenInitialState = createNextState(initialState, () => {})\r\n getInitialState = () => frozenInitialState\r\n }\r\n\r\n function reducer(state = getInitialState(), action: any): S {\r\n let caseReducers = [\r\n actionsMap[action.type],\r\n ...finalActionMatchers\r\n .filter(({ matcher }) => matcher(action))\r\n .map(({ reducer }) => reducer),\r\n ]\r\n if (caseReducers.filter((cr) => !!cr).length === 0) {\r\n caseReducers = [finalDefaultCaseReducer]\r\n }\r\n\r\n return caseReducers.reduce((previousState, caseReducer): S => {\r\n if (caseReducer) {\r\n if (isDraft(previousState)) {\r\n // If it's already a draft, we must already be inside a `createNextState` call,\r\n // likely because this is being wrapped in `createReducer`, `createSlice`, or nested\r\n // inside an existing draft. It's safe to just pass the draft to the mutator.\r\n const draft = previousState as Draft // We can assume this is already a draft\r\n const result = caseReducer(draft, action)\r\n\r\n if (typeof result === 'undefined') {\r\n return previousState\r\n }\r\n\r\n return result as S\r\n } else if (!isDraftable(previousState)) {\r\n // If state is not draftable (ex: a primitive, such as 0), we want to directly\r\n // return the caseReducer func and not wrap it with produce.\r\n const result = caseReducer(previousState as any, action)\r\n\r\n if (typeof result === 'undefined') {\r\n if (previousState === null) {\r\n return previousState\r\n }\r\n throw Error(\r\n 'A case reducer on a non-draftable value must not return undefined'\r\n )\r\n }\r\n\r\n return result as S\r\n } else {\r\n // @ts-ignore createNextState() produces an Immutable> rather\r\n // than an Immutable, and TypeScript cannot find out how to reconcile\r\n // these two types.\r\n return createNextState(previousState, (draft: Draft) => {\r\n return caseReducer(draft, action)\r\n })\r\n }\r\n }\r\n\r\n return previousState\r\n }, state)\r\n }\r\n\r\n reducer.getInitialState = getInitialState\r\n\r\n return reducer as ReducerWithInitialState\r\n}\r\n","import { enableES5 } from 'immer'\r\nexport * from 'redux'\r\nexport {\r\n default as createNextState,\r\n current,\r\n freeze,\r\n original,\r\n isDraft,\r\n} from 'immer'\r\nexport type { Draft } from 'immer'\r\nexport { createSelector } from 'reselect'\r\nexport type {\r\n Selector,\r\n OutputParametricSelector,\r\n OutputSelector,\r\n ParametricSelector,\r\n} from 'reselect'\r\nexport { createDraftSafeSelector } from './createDraftSafeSelector'\r\nexport type { ThunkAction, ThunkDispatch } from 'redux-thunk'\r\n\r\n// We deliberately enable Immer's ES5 support, on the grounds that\r\n// we assume RTK will be used with React Native and other Proxy-less\r\n// environments. In addition, that's how Immer 4 behaved, and since\r\n// we want to ship this in an RTK minor, we should keep the same behavior.\r\nenableES5()\r\n\r\nexport {\r\n // js\r\n configureStore,\r\n} from './configureStore'\r\nexport type {\r\n // types\r\n ConfigureEnhancersCallback,\r\n ConfigureStoreOptions,\r\n EnhancedStore,\r\n} from './configureStore'\r\nexport {\r\n // js\r\n createAction,\r\n getType,\r\n} from './createAction'\r\nexport type {\r\n // types\r\n PayloadAction,\r\n PayloadActionCreator,\r\n ActionCreatorWithNonInferrablePayload,\r\n ActionCreatorWithOptionalPayload,\r\n ActionCreatorWithPayload,\r\n ActionCreatorWithoutPayload,\r\n ActionCreatorWithPreparedPayload,\r\n PrepareAction,\r\n} from './createAction'\r\nexport {\r\n // js\r\n createReducer,\r\n} from './createReducer'\r\nexport type {\r\n // types\r\n Actions,\r\n CaseReducer,\r\n CaseReducers,\r\n} from './createReducer'\r\nexport {\r\n // js\r\n createSlice,\r\n} from './createSlice'\r\n\r\nexport type {\r\n // types\r\n CreateSliceOptions,\r\n Slice,\r\n CaseReducerActions,\r\n SliceCaseReducers,\r\n ValidateSliceCaseReducers,\r\n CaseReducerWithPrepare,\r\n SliceActionCreator,\r\n} from './createSlice'\r\nexport {\r\n // js\r\n createImmutableStateInvariantMiddleware,\r\n isImmutableDefault,\r\n} from './immutableStateInvariantMiddleware'\r\nexport type {\r\n // types\r\n ImmutableStateInvariantMiddlewareOptions,\r\n} from './immutableStateInvariantMiddleware'\r\nexport {\r\n // js\r\n createSerializableStateInvariantMiddleware,\r\n findNonSerializableValue,\r\n isPlain,\r\n} from './serializableStateInvariantMiddleware'\r\nexport type {\r\n // types\r\n SerializableStateInvariantMiddlewareOptions,\r\n} from './serializableStateInvariantMiddleware'\r\nexport {\r\n // js\r\n getDefaultMiddleware,\r\n} from './getDefaultMiddleware'\r\nexport type {\r\n // types\r\n ActionReducerMapBuilder,\r\n} from './mapBuilders'\r\nexport { MiddlewareArray } from './utils'\r\n\r\nexport { createEntityAdapter } from './entities/create_adapter'\r\nexport type {\r\n Dictionary,\r\n EntityState,\r\n EntityAdapter,\r\n EntitySelectors,\r\n EntityStateAdapter,\r\n EntityId,\r\n Update,\r\n IdSelector,\r\n Comparer,\r\n} from './entities/models'\r\n\r\nexport {\r\n createAsyncThunk,\r\n unwrapResult,\r\n miniSerializeError,\r\n} from './createAsyncThunk'\r\nexport type {\r\n AsyncThunk,\r\n AsyncThunkOptions,\r\n AsyncThunkAction,\r\n AsyncThunkPayloadCreatorReturnValue,\r\n AsyncThunkPayloadCreator,\r\n SerializedError,\r\n} from './createAsyncThunk'\r\n\r\nexport {\r\n // js\r\n isAllOf,\r\n isAnyOf,\r\n isPending,\r\n isRejected,\r\n isFulfilled,\r\n isAsyncThunkAction,\r\n isRejectedWithValue,\r\n} from './matchers'\r\nexport type {\r\n // types\r\n ActionMatchingAllOf,\r\n ActionMatchingAnyOf,\r\n} from './matchers'\r\n\r\nexport { nanoid } from './nanoid'\r\n\r\nexport { default as isPlainObject } from './isPlainObject'\r\n","module.exports = require('./lib/axios');","'use strict';\n\nvar utils = require('./../utils');\nvar settle = require('./../core/settle');\nvar cookies = require('./../helpers/cookies');\nvar buildURL = require('./../helpers/buildURL');\nvar buildFullPath = require('../core/buildFullPath');\nvar parseHeaders = require('./../helpers/parseHeaders');\nvar isURLSameOrigin = require('./../helpers/isURLSameOrigin');\nvar createError = require('../core/createError');\nvar defaults = require('../defaults');\nvar Cancel = require('../cancel/Cancel');\n\nmodule.exports = function xhrAdapter(config) {\n return new Promise(function dispatchXhrRequest(resolve, reject) {\n var requestData = config.data;\n var requestHeaders = config.headers;\n var responseType = config.responseType;\n var onCanceled;\n function done() {\n if (config.cancelToken) {\n config.cancelToken.unsubscribe(onCanceled);\n }\n\n if (config.signal) {\n config.signal.removeEventListener('abort', onCanceled);\n }\n }\n\n if (utils.isFormData(requestData)) {\n delete requestHeaders['Content-Type']; // Let the browser set it\n }\n\n var request = new XMLHttpRequest();\n\n // HTTP basic authentication\n if (config.auth) {\n var username = config.auth.username || '';\n var password = config.auth.password ? unescape(encodeURIComponent(config.auth.password)) : '';\n requestHeaders.Authorization = 'Basic ' + btoa(username + ':' + password);\n }\n\n var fullPath = buildFullPath(config.baseURL, config.url);\n request.open(config.method.toUpperCase(), buildURL(fullPath, config.params, config.paramsSerializer), true);\n\n // Set the request timeout in MS\n request.timeout = config.timeout;\n\n function onloadend() {\n if (!request) {\n return;\n }\n // Prepare the response\n var responseHeaders = 'getAllResponseHeaders' in request ? parseHeaders(request.getAllResponseHeaders()) : null;\n var responseData = !responseType || responseType === 'text' || responseType === 'json' ?\n request.responseText : request.response;\n var response = {\n data: responseData,\n status: request.status,\n statusText: request.statusText,\n headers: responseHeaders,\n config: config,\n request: request\n };\n\n settle(function _resolve(value) {\n resolve(value);\n done();\n }, function _reject(err) {\n reject(err);\n done();\n }, response);\n\n // Clean up request\n request = null;\n }\n\n if ('onloadend' in request) {\n // Use onloadend if available\n request.onloadend = onloadend;\n } else {\n // Listen for ready state to emulate onloadend\n request.onreadystatechange = function handleLoad() {\n if (!request || request.readyState !== 4) {\n return;\n }\n\n // The request errored out and we didn't get a response, this will be\n // handled by onerror instead\n // With one exception: request that using file: protocol, most browsers\n // will return status as 0 even though it's a successful request\n if (request.status === 0 && !(request.responseURL && request.responseURL.indexOf('file:') === 0)) {\n return;\n }\n // readystate handler is calling before onerror or ontimeout handlers,\n // so we should call onloadend on the next 'tick'\n setTimeout(onloadend);\n };\n }\n\n // Handle browser request cancellation (as opposed to a manual cancellation)\n request.onabort = function handleAbort() {\n if (!request) {\n return;\n }\n\n reject(createError('Request aborted', config, 'ECONNABORTED', request));\n\n // Clean up request\n request = null;\n };\n\n // Handle low level network errors\n request.onerror = function handleError() {\n // Real errors are hidden from us by the browser\n // onerror should only fire if it's a network error\n reject(createError('Network Error', config, null, request));\n\n // Clean up request\n request = null;\n };\n\n // Handle timeout\n request.ontimeout = function handleTimeout() {\n var timeoutErrorMessage = config.timeout ? 'timeout of ' + config.timeout + 'ms exceeded' : 'timeout exceeded';\n var transitional = config.transitional || defaults.transitional;\n if (config.timeoutErrorMessage) {\n timeoutErrorMessage = config.timeoutErrorMessage;\n }\n reject(createError(\n timeoutErrorMessage,\n config,\n transitional.clarifyTimeoutError ? 'ETIMEDOUT' : 'ECONNABORTED',\n request));\n\n // Clean up request\n request = null;\n };\n\n // Add xsrf header\n // This is only done if running in a standard browser environment.\n // Specifically not if we're in a web worker, or react-native.\n if (utils.isStandardBrowserEnv()) {\n // Add xsrf header\n var xsrfValue = (config.withCredentials || isURLSameOrigin(fullPath)) && config.xsrfCookieName ?\n cookies.read(config.xsrfCookieName) :\n undefined;\n\n if (xsrfValue) {\n requestHeaders[config.xsrfHeaderName] = xsrfValue;\n }\n }\n\n // Add headers to the request\n if ('setRequestHeader' in request) {\n utils.forEach(requestHeaders, function setRequestHeader(val, key) {\n if (typeof requestData === 'undefined' && key.toLowerCase() === 'content-type') {\n // Remove Content-Type if data is undefined\n delete requestHeaders[key];\n } else {\n // Otherwise add header to the request\n request.setRequestHeader(key, val);\n }\n });\n }\n\n // Add withCredentials to request if needed\n if (!utils.isUndefined(config.withCredentials)) {\n request.withCredentials = !!config.withCredentials;\n }\n\n // Add responseType to request if needed\n if (responseType && responseType !== 'json') {\n request.responseType = config.responseType;\n }\n\n // Handle progress if needed\n if (typeof config.onDownloadProgress === 'function') {\n request.addEventListener('progress', config.onDownloadProgress);\n }\n\n // Not all browsers support upload events\n if (typeof config.onUploadProgress === 'function' && request.upload) {\n request.upload.addEventListener('progress', config.onUploadProgress);\n }\n\n if (config.cancelToken || config.signal) {\n // Handle cancellation\n // eslint-disable-next-line func-names\n onCanceled = function(cancel) {\n if (!request) {\n return;\n }\n reject(!cancel || (cancel && cancel.type) ? new Cancel('canceled') : cancel);\n request.abort();\n request = null;\n };\n\n config.cancelToken && config.cancelToken.subscribe(onCanceled);\n if (config.signal) {\n config.signal.aborted ? onCanceled() : config.signal.addEventListener('abort', onCanceled);\n }\n }\n\n if (!requestData) {\n requestData = null;\n }\n\n // Send the request\n request.send(requestData);\n });\n};\n","'use strict';\n\nvar utils = require('./utils');\nvar bind = require('./helpers/bind');\nvar Axios = require('./core/Axios');\nvar mergeConfig = require('./core/mergeConfig');\nvar defaults = require('./defaults');\n\n/**\n * Create an instance of Axios\n *\n * @param {Object} defaultConfig The default config for the instance\n * @return {Axios} A new instance of Axios\n */\nfunction createInstance(defaultConfig) {\n var context = new Axios(defaultConfig);\n var instance = bind(Axios.prototype.request, context);\n\n // Copy axios.prototype to instance\n utils.extend(instance, Axios.prototype, context);\n\n // Copy context to instance\n utils.extend(instance, context);\n\n // Factory for creating new instances\n instance.create = function create(instanceConfig) {\n return createInstance(mergeConfig(defaultConfig, instanceConfig));\n };\n\n return instance;\n}\n\n// Create the default instance to be exported\nvar axios = createInstance(defaults);\n\n// Expose Axios class to allow class inheritance\naxios.Axios = Axios;\n\n// Expose Cancel & CancelToken\naxios.Cancel = require('./cancel/Cancel');\naxios.CancelToken = require('./cancel/CancelToken');\naxios.isCancel = require('./cancel/isCancel');\naxios.VERSION = require('./env/data').version;\n\n// Expose all/spread\naxios.all = function all(promises) {\n return Promise.all(promises);\n};\naxios.spread = require('./helpers/spread');\n\n// Expose isAxiosError\naxios.isAxiosError = require('./helpers/isAxiosError');\n\nmodule.exports = axios;\n\n// Allow use of default import syntax in TypeScript\nmodule.exports.default = axios;\n","'use strict';\n\n/**\n * A `Cancel` is an object that is thrown when an operation is canceled.\n *\n * @class\n * @param {string=} message The message.\n */\nfunction Cancel(message) {\n this.message = message;\n}\n\nCancel.prototype.toString = function toString() {\n return 'Cancel' + (this.message ? ': ' + this.message : '');\n};\n\nCancel.prototype.__CANCEL__ = true;\n\nmodule.exports = Cancel;\n","'use strict';\n\nvar Cancel = require('./Cancel');\n\n/**\n * A `CancelToken` is an object that can be used to request cancellation of an operation.\n *\n * @class\n * @param {Function} executor The executor function.\n */\nfunction CancelToken(executor) {\n if (typeof executor !== 'function') {\n throw new TypeError('executor must be a function.');\n }\n\n var resolvePromise;\n\n this.promise = new Promise(function promiseExecutor(resolve) {\n resolvePromise = resolve;\n });\n\n var token = this;\n\n // eslint-disable-next-line func-names\n this.promise.then(function(cancel) {\n if (!token._listeners) return;\n\n var i;\n var l = token._listeners.length;\n\n for (i = 0; i < l; i++) {\n token._listeners[i](cancel);\n }\n token._listeners = null;\n });\n\n // eslint-disable-next-line func-names\n this.promise.then = function(onfulfilled) {\n var _resolve;\n // eslint-disable-next-line func-names\n var promise = new Promise(function(resolve) {\n token.subscribe(resolve);\n _resolve = resolve;\n }).then(onfulfilled);\n\n promise.cancel = function reject() {\n token.unsubscribe(_resolve);\n };\n\n return promise;\n };\n\n executor(function cancel(message) {\n if (token.reason) {\n // Cancellation has already been requested\n return;\n }\n\n token.reason = new Cancel(message);\n resolvePromise(token.reason);\n });\n}\n\n/**\n * Throws a `Cancel` if cancellation has been requested.\n */\nCancelToken.prototype.throwIfRequested = function throwIfRequested() {\n if (this.reason) {\n throw this.reason;\n }\n};\n\n/**\n * Subscribe to the cancel signal\n */\n\nCancelToken.prototype.subscribe = function subscribe(listener) {\n if (this.reason) {\n listener(this.reason);\n return;\n }\n\n if (this._listeners) {\n this._listeners.push(listener);\n } else {\n this._listeners = [listener];\n }\n};\n\n/**\n * Unsubscribe from the cancel signal\n */\n\nCancelToken.prototype.unsubscribe = function unsubscribe(listener) {\n if (!this._listeners) {\n return;\n }\n var index = this._listeners.indexOf(listener);\n if (index !== -1) {\n this._listeners.splice(index, 1);\n }\n};\n\n/**\n * Returns an object that contains a new `CancelToken` and a function that, when called,\n * cancels the `CancelToken`.\n */\nCancelToken.source = function source() {\n var cancel;\n var token = new CancelToken(function executor(c) {\n cancel = c;\n });\n return {\n token: token,\n cancel: cancel\n };\n};\n\nmodule.exports = CancelToken;\n","'use strict';\n\nmodule.exports = function isCancel(value) {\n return !!(value && value.__CANCEL__);\n};\n","'use strict';\n\nvar utils = require('./../utils');\nvar buildURL = require('../helpers/buildURL');\nvar InterceptorManager = require('./InterceptorManager');\nvar dispatchRequest = require('./dispatchRequest');\nvar mergeConfig = require('./mergeConfig');\nvar validator = require('../helpers/validator');\n\nvar validators = validator.validators;\n/**\n * Create a new instance of Axios\n *\n * @param {Object} instanceConfig The default config for the instance\n */\nfunction Axios(instanceConfig) {\n this.defaults = instanceConfig;\n this.interceptors = {\n request: new InterceptorManager(),\n response: new InterceptorManager()\n };\n}\n\n/**\n * Dispatch a request\n *\n * @param {Object} config The config specific for this request (merged with this.defaults)\n */\nAxios.prototype.request = function request(configOrUrl, config) {\n /*eslint no-param-reassign:0*/\n // Allow for axios('example/url'[, config]) a la fetch API\n if (typeof configOrUrl === 'string') {\n config = config || {};\n config.url = configOrUrl;\n } else {\n config = configOrUrl || {};\n }\n\n config = mergeConfig(this.defaults, config);\n\n // Set config.method\n if (config.method) {\n config.method = config.method.toLowerCase();\n } else if (this.defaults.method) {\n config.method = this.defaults.method.toLowerCase();\n } else {\n config.method = 'get';\n }\n\n var transitional = config.transitional;\n\n if (transitional !== undefined) {\n validator.assertOptions(transitional, {\n silentJSONParsing: validators.transitional(validators.boolean),\n forcedJSONParsing: validators.transitional(validators.boolean),\n clarifyTimeoutError: validators.transitional(validators.boolean)\n }, false);\n }\n\n // filter out skipped interceptors\n var requestInterceptorChain = [];\n var synchronousRequestInterceptors = true;\n this.interceptors.request.forEach(function unshiftRequestInterceptors(interceptor) {\n if (typeof interceptor.runWhen === 'function' && interceptor.runWhen(config) === false) {\n return;\n }\n\n synchronousRequestInterceptors = synchronousRequestInterceptors && interceptor.synchronous;\n\n requestInterceptorChain.unshift(interceptor.fulfilled, interceptor.rejected);\n });\n\n var responseInterceptorChain = [];\n this.interceptors.response.forEach(function pushResponseInterceptors(interceptor) {\n responseInterceptorChain.push(interceptor.fulfilled, interceptor.rejected);\n });\n\n var promise;\n\n if (!synchronousRequestInterceptors) {\n var chain = [dispatchRequest, undefined];\n\n Array.prototype.unshift.apply(chain, requestInterceptorChain);\n chain = chain.concat(responseInterceptorChain);\n\n promise = Promise.resolve(config);\n while (chain.length) {\n promise = promise.then(chain.shift(), chain.shift());\n }\n\n return promise;\n }\n\n\n var newConfig = config;\n while (requestInterceptorChain.length) {\n var onFulfilled = requestInterceptorChain.shift();\n var onRejected = requestInterceptorChain.shift();\n try {\n newConfig = onFulfilled(newConfig);\n } catch (error) {\n onRejected(error);\n break;\n }\n }\n\n try {\n promise = dispatchRequest(newConfig);\n } catch (error) {\n return Promise.reject(error);\n }\n\n while (responseInterceptorChain.length) {\n promise = promise.then(responseInterceptorChain.shift(), responseInterceptorChain.shift());\n }\n\n return promise;\n};\n\nAxios.prototype.getUri = function getUri(config) {\n config = mergeConfig(this.defaults, config);\n return buildURL(config.url, config.params, config.paramsSerializer).replace(/^\\?/, '');\n};\n\n// Provide aliases for supported request methods\nutils.forEach(['delete', 'get', 'head', 'options'], function forEachMethodNoData(method) {\n /*eslint func-names:0*/\n Axios.prototype[method] = function(url, config) {\n return this.request(mergeConfig(config || {}, {\n method: method,\n url: url,\n data: (config || {}).data\n }));\n };\n});\n\nutils.forEach(['post', 'put', 'patch'], function forEachMethodWithData(method) {\n /*eslint func-names:0*/\n Axios.prototype[method] = function(url, data, config) {\n return this.request(mergeConfig(config || {}, {\n method: method,\n url: url,\n data: data\n }));\n };\n});\n\nmodule.exports = Axios;\n","'use strict';\n\nvar utils = require('./../utils');\n\nfunction InterceptorManager() {\n this.handlers = [];\n}\n\n/**\n * Add a new interceptor to the stack\n *\n * @param {Function} fulfilled The function to handle `then` for a `Promise`\n * @param {Function} rejected The function to handle `reject` for a `Promise`\n *\n * @return {Number} An ID used to remove interceptor later\n */\nInterceptorManager.prototype.use = function use(fulfilled, rejected, options) {\n this.handlers.push({\n fulfilled: fulfilled,\n rejected: rejected,\n synchronous: options ? options.synchronous : false,\n runWhen: options ? options.runWhen : null\n });\n return this.handlers.length - 1;\n};\n\n/**\n * Remove an interceptor from the stack\n *\n * @param {Number} id The ID that was returned by `use`\n */\nInterceptorManager.prototype.eject = function eject(id) {\n if (this.handlers[id]) {\n this.handlers[id] = null;\n }\n};\n\n/**\n * Iterate over all the registered interceptors\n *\n * This method is particularly useful for skipping over any\n * interceptors that may have become `null` calling `eject`.\n *\n * @param {Function} fn The function to call for each interceptor\n */\nInterceptorManager.prototype.forEach = function forEach(fn) {\n utils.forEach(this.handlers, function forEachHandler(h) {\n if (h !== null) {\n fn(h);\n }\n });\n};\n\nmodule.exports = InterceptorManager;\n","'use strict';\n\nvar isAbsoluteURL = require('../helpers/isAbsoluteURL');\nvar combineURLs = require('../helpers/combineURLs');\n\n/**\n * Creates a new URL by combining the baseURL with the requestedURL,\n * only when the requestedURL is not already an absolute URL.\n * If the requestURL is absolute, this function returns the requestedURL untouched.\n *\n * @param {string} baseURL The base URL\n * @param {string} requestedURL Absolute or relative URL to combine\n * @returns {string} The combined full path\n */\nmodule.exports = function buildFullPath(baseURL, requestedURL) {\n if (baseURL && !isAbsoluteURL(requestedURL)) {\n return combineURLs(baseURL, requestedURL);\n }\n return requestedURL;\n};\n","'use strict';\n\nvar enhanceError = require('./enhanceError');\n\n/**\n * Create an Error with the specified message, config, error code, request and response.\n *\n * @param {string} message The error message.\n * @param {Object} config The config.\n * @param {string} [code] The error code (for example, 'ECONNABORTED').\n * @param {Object} [request] The request.\n * @param {Object} [response] The response.\n * @returns {Error} The created error.\n */\nmodule.exports = function createError(message, config, code, request, response) {\n var error = new Error(message);\n return enhanceError(error, config, code, request, response);\n};\n","'use strict';\n\nvar utils = require('./../utils');\nvar transformData = require('./transformData');\nvar isCancel = require('../cancel/isCancel');\nvar defaults = require('../defaults');\nvar Cancel = require('../cancel/Cancel');\n\n/**\n * Throws a `Cancel` if cancellation has been requested.\n */\nfunction throwIfCancellationRequested(config) {\n if (config.cancelToken) {\n config.cancelToken.throwIfRequested();\n }\n\n if (config.signal && config.signal.aborted) {\n throw new Cancel('canceled');\n }\n}\n\n/**\n * Dispatch a request to the server using the configured adapter.\n *\n * @param {object} config The config that is to be used for the request\n * @returns {Promise} The Promise to be fulfilled\n */\nmodule.exports = function dispatchRequest(config) {\n throwIfCancellationRequested(config);\n\n // Ensure headers exist\n config.headers = config.headers || {};\n\n // Transform request data\n config.data = transformData.call(\n config,\n config.data,\n config.headers,\n config.transformRequest\n );\n\n // Flatten headers\n config.headers = utils.merge(\n config.headers.common || {},\n config.headers[config.method] || {},\n config.headers\n );\n\n utils.forEach(\n ['delete', 'get', 'head', 'post', 'put', 'patch', 'common'],\n function cleanHeaderConfig(method) {\n delete config.headers[method];\n }\n );\n\n var adapter = config.adapter || defaults.adapter;\n\n return adapter(config).then(function onAdapterResolution(response) {\n throwIfCancellationRequested(config);\n\n // Transform response data\n response.data = transformData.call(\n config,\n response.data,\n response.headers,\n config.transformResponse\n );\n\n return response;\n }, function onAdapterRejection(reason) {\n if (!isCancel(reason)) {\n throwIfCancellationRequested(config);\n\n // Transform response data\n if (reason && reason.response) {\n reason.response.data = transformData.call(\n config,\n reason.response.data,\n reason.response.headers,\n config.transformResponse\n );\n }\n }\n\n return Promise.reject(reason);\n });\n};\n","'use strict';\n\n/**\n * Update an Error with the specified config, error code, and response.\n *\n * @param {Error} error The error to update.\n * @param {Object} config The config.\n * @param {string} [code] The error code (for example, 'ECONNABORTED').\n * @param {Object} [request] The request.\n * @param {Object} [response] The response.\n * @returns {Error} The error.\n */\nmodule.exports = function enhanceError(error, config, code, request, response) {\n error.config = config;\n if (code) {\n error.code = code;\n }\n\n error.request = request;\n error.response = response;\n error.isAxiosError = true;\n\n error.toJSON = function toJSON() {\n return {\n // Standard\n message: this.message,\n name: this.name,\n // Microsoft\n description: this.description,\n number: this.number,\n // Mozilla\n fileName: this.fileName,\n lineNumber: this.lineNumber,\n columnNumber: this.columnNumber,\n stack: this.stack,\n // Axios\n config: this.config,\n code: this.code,\n status: this.response && this.response.status ? this.response.status : null\n };\n };\n return error;\n};\n","'use strict';\n\nvar utils = require('../utils');\n\n/**\n * Config-specific merge-function which creates a new config-object\n * by merging two configuration objects together.\n *\n * @param {Object} config1\n * @param {Object} config2\n * @returns {Object} New object resulting from merging config2 to config1\n */\nmodule.exports = function mergeConfig(config1, config2) {\n // eslint-disable-next-line no-param-reassign\n config2 = config2 || {};\n var config = {};\n\n function getMergedValue(target, source) {\n if (utils.isPlainObject(target) && utils.isPlainObject(source)) {\n return utils.merge(target, source);\n } else if (utils.isPlainObject(source)) {\n return utils.merge({}, source);\n } else if (utils.isArray(source)) {\n return source.slice();\n }\n return source;\n }\n\n // eslint-disable-next-line consistent-return\n function mergeDeepProperties(prop) {\n if (!utils.isUndefined(config2[prop])) {\n return getMergedValue(config1[prop], config2[prop]);\n } else if (!utils.isUndefined(config1[prop])) {\n return getMergedValue(undefined, config1[prop]);\n }\n }\n\n // eslint-disable-next-line consistent-return\n function valueFromConfig2(prop) {\n if (!utils.isUndefined(config2[prop])) {\n return getMergedValue(undefined, config2[prop]);\n }\n }\n\n // eslint-disable-next-line consistent-return\n function defaultToConfig2(prop) {\n if (!utils.isUndefined(config2[prop])) {\n return getMergedValue(undefined, config2[prop]);\n } else if (!utils.isUndefined(config1[prop])) {\n return getMergedValue(undefined, config1[prop]);\n }\n }\n\n // eslint-disable-next-line consistent-return\n function mergeDirectKeys(prop) {\n if (prop in config2) {\n return getMergedValue(config1[prop], config2[prop]);\n } else if (prop in config1) {\n return getMergedValue(undefined, config1[prop]);\n }\n }\n\n var mergeMap = {\n 'url': valueFromConfig2,\n 'method': valueFromConfig2,\n 'data': valueFromConfig2,\n 'baseURL': defaultToConfig2,\n 'transformRequest': defaultToConfig2,\n 'transformResponse': defaultToConfig2,\n 'paramsSerializer': defaultToConfig2,\n 'timeout': defaultToConfig2,\n 'timeoutMessage': defaultToConfig2,\n 'withCredentials': defaultToConfig2,\n 'adapter': defaultToConfig2,\n 'responseType': defaultToConfig2,\n 'xsrfCookieName': defaultToConfig2,\n 'xsrfHeaderName': defaultToConfig2,\n 'onUploadProgress': defaultToConfig2,\n 'onDownloadProgress': defaultToConfig2,\n 'decompress': defaultToConfig2,\n 'maxContentLength': defaultToConfig2,\n 'maxBodyLength': defaultToConfig2,\n 'transport': defaultToConfig2,\n 'httpAgent': defaultToConfig2,\n 'httpsAgent': defaultToConfig2,\n 'cancelToken': defaultToConfig2,\n 'socketPath': defaultToConfig2,\n 'responseEncoding': defaultToConfig2,\n 'validateStatus': mergeDirectKeys\n };\n\n utils.forEach(Object.keys(config1).concat(Object.keys(config2)), function computeConfigValue(prop) {\n var merge = mergeMap[prop] || mergeDeepProperties;\n var configValue = merge(prop);\n (utils.isUndefined(configValue) && merge !== mergeDirectKeys) || (config[prop] = configValue);\n });\n\n return config;\n};\n","'use strict';\n\nvar createError = require('./createError');\n\n/**\n * Resolve or reject a Promise based on response status.\n *\n * @param {Function} resolve A function that resolves the promise.\n * @param {Function} reject A function that rejects the promise.\n * @param {object} response The response.\n */\nmodule.exports = function settle(resolve, reject, response) {\n var validateStatus = response.config.validateStatus;\n if (!response.status || !validateStatus || validateStatus(response.status)) {\n resolve(response);\n } else {\n reject(createError(\n 'Request failed with status code ' + response.status,\n response.config,\n null,\n response.request,\n response\n ));\n }\n};\n","'use strict';\n\nvar utils = require('./../utils');\nvar defaults = require('./../defaults');\n\n/**\n * Transform the data for a request or a response\n *\n * @param {Object|String} data The data to be transformed\n * @param {Array} headers The headers for the request or response\n * @param {Array|Function} fns A single function or Array of functions\n * @returns {*} The resulting transformed data\n */\nmodule.exports = function transformData(data, headers, fns) {\n var context = this || defaults;\n /*eslint no-param-reassign:0*/\n utils.forEach(fns, function transform(fn) {\n data = fn.call(context, data, headers);\n });\n\n return data;\n};\n","'use strict';\n\nvar utils = require('./utils');\nvar normalizeHeaderName = require('./helpers/normalizeHeaderName');\nvar enhanceError = require('./core/enhanceError');\n\nvar DEFAULT_CONTENT_TYPE = {\n 'Content-Type': 'application/x-www-form-urlencoded'\n};\n\nfunction setContentTypeIfUnset(headers, value) {\n if (!utils.isUndefined(headers) && utils.isUndefined(headers['Content-Type'])) {\n headers['Content-Type'] = value;\n }\n}\n\nfunction getDefaultAdapter() {\n var adapter;\n if (typeof XMLHttpRequest !== 'undefined') {\n // For browsers use XHR adapter\n adapter = require('./adapters/xhr');\n } else if (typeof process !== 'undefined' && Object.prototype.toString.call(process) === '[object process]') {\n // For node use HTTP adapter\n adapter = require('./adapters/http');\n }\n return adapter;\n}\n\nfunction stringifySafely(rawValue, parser, encoder) {\n if (utils.isString(rawValue)) {\n try {\n (parser || JSON.parse)(rawValue);\n return utils.trim(rawValue);\n } catch (e) {\n if (e.name !== 'SyntaxError') {\n throw e;\n }\n }\n }\n\n return (encoder || JSON.stringify)(rawValue);\n}\n\nvar defaults = {\n\n transitional: {\n silentJSONParsing: true,\n forcedJSONParsing: true,\n clarifyTimeoutError: false\n },\n\n adapter: getDefaultAdapter(),\n\n transformRequest: [function transformRequest(data, headers) {\n normalizeHeaderName(headers, 'Accept');\n normalizeHeaderName(headers, 'Content-Type');\n\n if (utils.isFormData(data) ||\n utils.isArrayBuffer(data) ||\n utils.isBuffer(data) ||\n utils.isStream(data) ||\n utils.isFile(data) ||\n utils.isBlob(data)\n ) {\n return data;\n }\n if (utils.isArrayBufferView(data)) {\n return data.buffer;\n }\n if (utils.isURLSearchParams(data)) {\n setContentTypeIfUnset(headers, 'application/x-www-form-urlencoded;charset=utf-8');\n return data.toString();\n }\n if (utils.isObject(data) || (headers && headers['Content-Type'] === 'application/json')) {\n setContentTypeIfUnset(headers, 'application/json');\n return stringifySafely(data);\n }\n return data;\n }],\n\n transformResponse: [function transformResponse(data) {\n var transitional = this.transitional || defaults.transitional;\n var silentJSONParsing = transitional && transitional.silentJSONParsing;\n var forcedJSONParsing = transitional && transitional.forcedJSONParsing;\n var strictJSONParsing = !silentJSONParsing && this.responseType === 'json';\n\n if (strictJSONParsing || (forcedJSONParsing && utils.isString(data) && data.length)) {\n try {\n return JSON.parse(data);\n } catch (e) {\n if (strictJSONParsing) {\n if (e.name === 'SyntaxError') {\n throw enhanceError(e, this, 'E_JSON_PARSE');\n }\n throw e;\n }\n }\n }\n\n return data;\n }],\n\n /**\n * A timeout in milliseconds to abort a request. If set to 0 (default) a\n * timeout is not created.\n */\n timeout: 0,\n\n xsrfCookieName: 'XSRF-TOKEN',\n xsrfHeaderName: 'X-XSRF-TOKEN',\n\n maxContentLength: -1,\n maxBodyLength: -1,\n\n validateStatus: function validateStatus(status) {\n return status >= 200 && status < 300;\n },\n\n headers: {\n common: {\n 'Accept': 'application/json, text/plain, */*'\n }\n }\n};\n\nutils.forEach(['delete', 'get', 'head'], function forEachMethodNoData(method) {\n defaults.headers[method] = {};\n});\n\nutils.forEach(['post', 'put', 'patch'], function forEachMethodWithData(method) {\n defaults.headers[method] = utils.merge(DEFAULT_CONTENT_TYPE);\n});\n\nmodule.exports = defaults;\n","module.exports = {\n \"version\": \"0.26.0\"\n};","'use strict';\n\nmodule.exports = function bind(fn, thisArg) {\n return function wrap() {\n var args = new Array(arguments.length);\n for (var i = 0; i < args.length; i++) {\n args[i] = arguments[i];\n }\n return fn.apply(thisArg, args);\n };\n};\n","'use strict';\n\nvar utils = require('./../utils');\n\nfunction encode(val) {\n return encodeURIComponent(val).\n replace(/%3A/gi, ':').\n replace(/%24/g, '$').\n replace(/%2C/gi, ',').\n replace(/%20/g, '+').\n replace(/%5B/gi, '[').\n replace(/%5D/gi, ']');\n}\n\n/**\n * Build a URL by appending params to the end\n *\n * @param {string} url The base of the url (e.g., http://www.google.com)\n * @param {object} [params] The params to be appended\n * @returns {string} The formatted url\n */\nmodule.exports = function buildURL(url, params, paramsSerializer) {\n /*eslint no-param-reassign:0*/\n if (!params) {\n return url;\n }\n\n var serializedParams;\n if (paramsSerializer) {\n serializedParams = paramsSerializer(params);\n } else if (utils.isURLSearchParams(params)) {\n serializedParams = params.toString();\n } else {\n var parts = [];\n\n utils.forEach(params, function serialize(val, key) {\n if (val === null || typeof val === 'undefined') {\n return;\n }\n\n if (utils.isArray(val)) {\n key = key + '[]';\n } else {\n val = [val];\n }\n\n utils.forEach(val, function parseValue(v) {\n if (utils.isDate(v)) {\n v = v.toISOString();\n } else if (utils.isObject(v)) {\n v = JSON.stringify(v);\n }\n parts.push(encode(key) + '=' + encode(v));\n });\n });\n\n serializedParams = parts.join('&');\n }\n\n if (serializedParams) {\n var hashmarkIndex = url.indexOf('#');\n if (hashmarkIndex !== -1) {\n url = url.slice(0, hashmarkIndex);\n }\n\n url += (url.indexOf('?') === -1 ? '?' : '&') + serializedParams;\n }\n\n return url;\n};\n","'use strict';\n\n/**\n * Creates a new URL by combining the specified URLs\n *\n * @param {string} baseURL The base URL\n * @param {string} relativeURL The relative URL\n * @returns {string} The combined URL\n */\nmodule.exports = function combineURLs(baseURL, relativeURL) {\n return relativeURL\n ? baseURL.replace(/\\/+$/, '') + '/' + relativeURL.replace(/^\\/+/, '')\n : baseURL;\n};\n","'use strict';\n\nvar utils = require('./../utils');\n\nmodule.exports = (\n utils.isStandardBrowserEnv() ?\n\n // Standard browser envs support document.cookie\n (function standardBrowserEnv() {\n return {\n write: function write(name, value, expires, path, domain, secure) {\n var cookie = [];\n cookie.push(name + '=' + encodeURIComponent(value));\n\n if (utils.isNumber(expires)) {\n cookie.push('expires=' + new Date(expires).toGMTString());\n }\n\n if (utils.isString(path)) {\n cookie.push('path=' + path);\n }\n\n if (utils.isString(domain)) {\n cookie.push('domain=' + domain);\n }\n\n if (secure === true) {\n cookie.push('secure');\n }\n\n document.cookie = cookie.join('; ');\n },\n\n read: function read(name) {\n var match = document.cookie.match(new RegExp('(^|;\\\\s*)(' + name + ')=([^;]*)'));\n return (match ? decodeURIComponent(match[3]) : null);\n },\n\n remove: function remove(name) {\n this.write(name, '', Date.now() - 86400000);\n }\n };\n })() :\n\n // Non standard browser env (web workers, react-native) lack needed support.\n (function nonStandardBrowserEnv() {\n return {\n write: function write() {},\n read: function read() { return null; },\n remove: function remove() {}\n };\n })()\n);\n","'use strict';\n\n/**\n * Determines whether the specified URL is absolute\n *\n * @param {string} url The URL to test\n * @returns {boolean} True if the specified URL is absolute, otherwise false\n */\nmodule.exports = function isAbsoluteURL(url) {\n // A URL is considered absolute if it begins with \"://\" or \"//\" (protocol-relative URL).\n // RFC 3986 defines scheme name as a sequence of characters beginning with a letter and followed\n // by any combination of letters, digits, plus, period, or hyphen.\n return /^([a-z][a-z\\d+\\-.]*:)?\\/\\//i.test(url);\n};\n","'use strict';\n\nvar utils = require('./../utils');\n\n/**\n * Determines whether the payload is an error thrown by Axios\n *\n * @param {*} payload The value to test\n * @returns {boolean} True if the payload is an error thrown by Axios, otherwise false\n */\nmodule.exports = function isAxiosError(payload) {\n return utils.isObject(payload) && (payload.isAxiosError === true);\n};\n","'use strict';\n\nvar utils = require('./../utils');\n\nmodule.exports = (\n utils.isStandardBrowserEnv() ?\n\n // Standard browser envs have full support of the APIs needed to test\n // whether the request URL is of the same origin as current location.\n (function standardBrowserEnv() {\n var msie = /(msie|trident)/i.test(navigator.userAgent);\n var urlParsingNode = document.createElement('a');\n var originURL;\n\n /**\n * Parse a URL to discover it's components\n *\n * @param {String} url The URL to be parsed\n * @returns {Object}\n */\n function resolveURL(url) {\n var href = url;\n\n if (msie) {\n // IE needs attribute set twice to normalize properties\n urlParsingNode.setAttribute('href', href);\n href = urlParsingNode.href;\n }\n\n urlParsingNode.setAttribute('href', href);\n\n // urlParsingNode provides the UrlUtils interface - http://url.spec.whatwg.org/#urlutils\n return {\n href: urlParsingNode.href,\n protocol: urlParsingNode.protocol ? urlParsingNode.protocol.replace(/:$/, '') : '',\n host: urlParsingNode.host,\n search: urlParsingNode.search ? urlParsingNode.search.replace(/^\\?/, '') : '',\n hash: urlParsingNode.hash ? urlParsingNode.hash.replace(/^#/, '') : '',\n hostname: urlParsingNode.hostname,\n port: urlParsingNode.port,\n pathname: (urlParsingNode.pathname.charAt(0) === '/') ?\n urlParsingNode.pathname :\n '/' + urlParsingNode.pathname\n };\n }\n\n originURL = resolveURL(window.location.href);\n\n /**\n * Determine if a URL shares the same origin as the current location\n *\n * @param {String} requestURL The URL to test\n * @returns {boolean} True if URL shares the same origin, otherwise false\n */\n return function isURLSameOrigin(requestURL) {\n var parsed = (utils.isString(requestURL)) ? resolveURL(requestURL) : requestURL;\n return (parsed.protocol === originURL.protocol &&\n parsed.host === originURL.host);\n };\n })() :\n\n // Non standard browser envs (web workers, react-native) lack needed support.\n (function nonStandardBrowserEnv() {\n return function isURLSameOrigin() {\n return true;\n };\n })()\n);\n","'use strict';\n\nvar utils = require('../utils');\n\nmodule.exports = function normalizeHeaderName(headers, normalizedName) {\n utils.forEach(headers, function processHeader(value, name) {\n if (name !== normalizedName && name.toUpperCase() === normalizedName.toUpperCase()) {\n headers[normalizedName] = value;\n delete headers[name];\n }\n });\n};\n","'use strict';\n\nvar utils = require('./../utils');\n\n// Headers whose duplicates are ignored by node\n// c.f. https://nodejs.org/api/http.html#http_message_headers\nvar ignoreDuplicateOf = [\n 'age', 'authorization', 'content-length', 'content-type', 'etag',\n 'expires', 'from', 'host', 'if-modified-since', 'if-unmodified-since',\n 'last-modified', 'location', 'max-forwards', 'proxy-authorization',\n 'referer', 'retry-after', 'user-agent'\n];\n\n/**\n * Parse headers into an object\n *\n * ```\n * Date: Wed, 27 Aug 2014 08:58:49 GMT\n * Content-Type: application/json\n * Connection: keep-alive\n * Transfer-Encoding: chunked\n * ```\n *\n * @param {String} headers Headers needing to be parsed\n * @returns {Object} Headers parsed into an object\n */\nmodule.exports = function parseHeaders(headers) {\n var parsed = {};\n var key;\n var val;\n var i;\n\n if (!headers) { return parsed; }\n\n utils.forEach(headers.split('\\n'), function parser(line) {\n i = line.indexOf(':');\n key = utils.trim(line.substr(0, i)).toLowerCase();\n val = utils.trim(line.substr(i + 1));\n\n if (key) {\n if (parsed[key] && ignoreDuplicateOf.indexOf(key) >= 0) {\n return;\n }\n if (key === 'set-cookie') {\n parsed[key] = (parsed[key] ? parsed[key] : []).concat([val]);\n } else {\n parsed[key] = parsed[key] ? parsed[key] + ', ' + val : val;\n }\n }\n });\n\n return parsed;\n};\n","'use strict';\n\n/**\n * Syntactic sugar for invoking a function and expanding an array for arguments.\n *\n * Common use case would be to use `Function.prototype.apply`.\n *\n * ```js\n * function f(x, y, z) {}\n * var args = [1, 2, 3];\n * f.apply(null, args);\n * ```\n *\n * With `spread` this example can be re-written.\n *\n * ```js\n * spread(function(x, y, z) {})([1, 2, 3]);\n * ```\n *\n * @param {Function} callback\n * @returns {Function}\n */\nmodule.exports = function spread(callback) {\n return function wrap(arr) {\n return callback.apply(null, arr);\n };\n};\n","'use strict';\n\nvar VERSION = require('../env/data').version;\n\nvar validators = {};\n\n// eslint-disable-next-line func-names\n['object', 'boolean', 'number', 'function', 'string', 'symbol'].forEach(function(type, i) {\n validators[type] = function validator(thing) {\n return typeof thing === type || 'a' + (i < 1 ? 'n ' : ' ') + type;\n };\n});\n\nvar deprecatedWarnings = {};\n\n/**\n * Transitional option validator\n * @param {function|boolean?} validator - set to false if the transitional option has been removed\n * @param {string?} version - deprecated version / removed since version\n * @param {string?} message - some message with additional info\n * @returns {function}\n */\nvalidators.transitional = function transitional(validator, version, message) {\n function formatMessage(opt, desc) {\n return '[Axios v' + VERSION + '] Transitional option \\'' + opt + '\\'' + desc + (message ? '. ' + message : '');\n }\n\n // eslint-disable-next-line func-names\n return function(value, opt, opts) {\n if (validator === false) {\n throw new Error(formatMessage(opt, ' has been removed' + (version ? ' in ' + version : '')));\n }\n\n if (version && !deprecatedWarnings[opt]) {\n deprecatedWarnings[opt] = true;\n // eslint-disable-next-line no-console\n console.warn(\n formatMessage(\n opt,\n ' has been deprecated since v' + version + ' and will be removed in the near future'\n )\n );\n }\n\n return validator ? validator(value, opt, opts) : true;\n };\n};\n\n/**\n * Assert object's properties type\n * @param {object} options\n * @param {object} schema\n * @param {boolean?} allowUnknown\n */\n\nfunction assertOptions(options, schema, allowUnknown) {\n if (typeof options !== 'object') {\n throw new TypeError('options must be an object');\n }\n var keys = Object.keys(options);\n var i = keys.length;\n while (i-- > 0) {\n var opt = keys[i];\n var validator = schema[opt];\n if (validator) {\n var value = options[opt];\n var result = value === undefined || validator(value, opt, options);\n if (result !== true) {\n throw new TypeError('option ' + opt + ' must be ' + result);\n }\n continue;\n }\n if (allowUnknown !== true) {\n throw Error('Unknown option ' + opt);\n }\n }\n}\n\nmodule.exports = {\n assertOptions: assertOptions,\n validators: validators\n};\n","'use strict';\n\nvar bind = require('./helpers/bind');\n\n// utils is a library of generic helper functions non-specific to axios\n\nvar toString = Object.prototype.toString;\n\n/**\n * Determine if a value is an Array\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an Array, otherwise false\n */\nfunction isArray(val) {\n return Array.isArray(val);\n}\n\n/**\n * Determine if a value is undefined\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if the value is undefined, otherwise false\n */\nfunction isUndefined(val) {\n return typeof val === 'undefined';\n}\n\n/**\n * Determine if a value is a Buffer\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Buffer, otherwise false\n */\nfunction isBuffer(val) {\n return val !== null && !isUndefined(val) && val.constructor !== null && !isUndefined(val.constructor)\n && typeof val.constructor.isBuffer === 'function' && val.constructor.isBuffer(val);\n}\n\n/**\n * Determine if a value is an ArrayBuffer\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an ArrayBuffer, otherwise false\n */\nfunction isArrayBuffer(val) {\n return toString.call(val) === '[object ArrayBuffer]';\n}\n\n/**\n * Determine if a value is a FormData\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an FormData, otherwise false\n */\nfunction isFormData(val) {\n return toString.call(val) === '[object FormData]';\n}\n\n/**\n * Determine if a value is a view on an ArrayBuffer\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a view on an ArrayBuffer, otherwise false\n */\nfunction isArrayBufferView(val) {\n var result;\n if ((typeof ArrayBuffer !== 'undefined') && (ArrayBuffer.isView)) {\n result = ArrayBuffer.isView(val);\n } else {\n result = (val) && (val.buffer) && (isArrayBuffer(val.buffer));\n }\n return result;\n}\n\n/**\n * Determine if a value is a String\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a String, otherwise false\n */\nfunction isString(val) {\n return typeof val === 'string';\n}\n\n/**\n * Determine if a value is a Number\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Number, otherwise false\n */\nfunction isNumber(val) {\n return typeof val === 'number';\n}\n\n/**\n * Determine if a value is an Object\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an Object, otherwise false\n */\nfunction isObject(val) {\n return val !== null && typeof val === 'object';\n}\n\n/**\n * Determine if a value is a plain Object\n *\n * @param {Object} val The value to test\n * @return {boolean} True if value is a plain Object, otherwise false\n */\nfunction isPlainObject(val) {\n if (toString.call(val) !== '[object Object]') {\n return false;\n }\n\n var prototype = Object.getPrototypeOf(val);\n return prototype === null || prototype === Object.prototype;\n}\n\n/**\n * Determine if a value is a Date\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Date, otherwise false\n */\nfunction isDate(val) {\n return toString.call(val) === '[object Date]';\n}\n\n/**\n * Determine if a value is a File\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a File, otherwise false\n */\nfunction isFile(val) {\n return toString.call(val) === '[object File]';\n}\n\n/**\n * Determine if a value is a Blob\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Blob, otherwise false\n */\nfunction isBlob(val) {\n return toString.call(val) === '[object Blob]';\n}\n\n/**\n * Determine if a value is a Function\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Function, otherwise false\n */\nfunction isFunction(val) {\n return toString.call(val) === '[object Function]';\n}\n\n/**\n * Determine if a value is a Stream\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Stream, otherwise false\n */\nfunction isStream(val) {\n return isObject(val) && isFunction(val.pipe);\n}\n\n/**\n * Determine if a value is a URLSearchParams object\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a URLSearchParams object, otherwise false\n */\nfunction isURLSearchParams(val) {\n return toString.call(val) === '[object URLSearchParams]';\n}\n\n/**\n * Trim excess whitespace off the beginning and end of a string\n *\n * @param {String} str The String to trim\n * @returns {String} The String freed of excess whitespace\n */\nfunction trim(str) {\n return str.trim ? str.trim() : str.replace(/^\\s+|\\s+$/g, '');\n}\n\n/**\n * Determine if we're running in a standard browser environment\n *\n * This allows axios to run in a web worker, and react-native.\n * Both environments support XMLHttpRequest, but not fully standard globals.\n *\n * web workers:\n * typeof window -> undefined\n * typeof document -> undefined\n *\n * react-native:\n * navigator.product -> 'ReactNative'\n * nativescript\n * navigator.product -> 'NativeScript' or 'NS'\n */\nfunction isStandardBrowserEnv() {\n if (typeof navigator !== 'undefined' && (navigator.product === 'ReactNative' ||\n navigator.product === 'NativeScript' ||\n navigator.product === 'NS')) {\n return false;\n }\n return (\n typeof window !== 'undefined' &&\n typeof document !== 'undefined'\n );\n}\n\n/**\n * Iterate over an Array or an Object invoking a function for each item.\n *\n * If `obj` is an Array callback will be called passing\n * the value, index, and complete array for each item.\n *\n * If 'obj' is an Object callback will be called passing\n * the value, key, and complete object for each property.\n *\n * @param {Object|Array} obj The object to iterate\n * @param {Function} fn The callback to invoke for each item\n */\nfunction forEach(obj, fn) {\n // Don't bother if no value provided\n if (obj === null || typeof obj === 'undefined') {\n return;\n }\n\n // Force an array if not already something iterable\n if (typeof obj !== 'object') {\n /*eslint no-param-reassign:0*/\n obj = [obj];\n }\n\n if (isArray(obj)) {\n // Iterate over array values\n for (var i = 0, l = obj.length; i < l; i++) {\n fn.call(null, obj[i], i, obj);\n }\n } else {\n // Iterate over object keys\n for (var key in obj) {\n if (Object.prototype.hasOwnProperty.call(obj, key)) {\n fn.call(null, obj[key], key, obj);\n }\n }\n }\n}\n\n/**\n * Accepts varargs expecting each argument to be an object, then\n * immutably merges the properties of each object and returns result.\n *\n * When multiple objects contain the same key the later object in\n * the arguments list will take precedence.\n *\n * Example:\n *\n * ```js\n * var result = merge({foo: 123}, {foo: 456});\n * console.log(result.foo); // outputs 456\n * ```\n *\n * @param {Object} obj1 Object to merge\n * @returns {Object} Result of all merge properties\n */\nfunction merge(/* obj1, obj2, obj3, ... */) {\n var result = {};\n function assignValue(val, key) {\n if (isPlainObject(result[key]) && isPlainObject(val)) {\n result[key] = merge(result[key], val);\n } else if (isPlainObject(val)) {\n result[key] = merge({}, val);\n } else if (isArray(val)) {\n result[key] = val.slice();\n } else {\n result[key] = val;\n }\n }\n\n for (var i = 0, l = arguments.length; i < l; i++) {\n forEach(arguments[i], assignValue);\n }\n return result;\n}\n\n/**\n * Extends object a by mutably adding to it the properties of object b.\n *\n * @param {Object} a The object to be extended\n * @param {Object} b The object to copy properties from\n * @param {Object} thisArg The object to bind function to\n * @return {Object} The resulting value of object a\n */\nfunction extend(a, b, thisArg) {\n forEach(b, function assignValue(val, key) {\n if (thisArg && typeof val === 'function') {\n a[key] = bind(val, thisArg);\n } else {\n a[key] = val;\n }\n });\n return a;\n}\n\n/**\n * Remove byte order marker. This catches EF BB BF (the UTF-8 BOM)\n *\n * @param {string} content with BOM\n * @return {string} content value without BOM\n */\nfunction stripBOM(content) {\n if (content.charCodeAt(0) === 0xFEFF) {\n content = content.slice(1);\n }\n return content;\n}\n\nmodule.exports = {\n isArray: isArray,\n isArrayBuffer: isArrayBuffer,\n isBuffer: isBuffer,\n isFormData: isFormData,\n isArrayBufferView: isArrayBufferView,\n isString: isString,\n isNumber: isNumber,\n isObject: isObject,\n isPlainObject: isPlainObject,\n isUndefined: isUndefined,\n isDate: isDate,\n isFile: isFile,\n isBlob: isBlob,\n isFunction: isFunction,\n isStream: isStream,\n isURLSearchParams: isURLSearchParams,\n isStandardBrowserEnv: isStandardBrowserEnv,\n forEach: forEach,\n merge: merge,\n extend: extend,\n trim: trim,\n stripBOM: stripBOM\n};\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000\nconst MILLISECONDS_MULTIPLIER = 1000\nconst TRANSITION_END = 'transitionend'\n\n// Shoutout AngusCroll (https://goo.gl/pxwQGp)\nconst toType = obj => {\n if (obj === null || obj === undefined) {\n return `${obj}`\n }\n\n return {}.toString.call(obj).match(/\\s([a-z]+)/i)[1].toLowerCase()\n}\n\n/**\n * --------------------------------------------------------------------------\n * Public Util Api\n * --------------------------------------------------------------------------\n */\n\nconst getUID = prefix => {\n do {\n prefix += Math.floor(Math.random() * MAX_UID)\n } while (document.getElementById(prefix))\n\n return prefix\n}\n\nconst getSelector = element => {\n let selector = element.getAttribute('data-bs-target')\n\n if (!selector || selector === '#') {\n let hrefAttr = element.getAttribute('href')\n\n // The only valid content that could double as a selector are IDs or classes,\n // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n // `document.querySelector` will rightfully complain it is invalid.\n // See https://github.com/twbs/bootstrap/issues/32273\n if (!hrefAttr || (!hrefAttr.includes('#') && !hrefAttr.startsWith('.'))) {\n return null\n }\n\n // Just in case some CMS puts out a full URL with the anchor appended\n if (hrefAttr.includes('#') && !hrefAttr.startsWith('#')) {\n hrefAttr = `#${hrefAttr.split('#')[1]}`\n }\n\n selector = hrefAttr && hrefAttr !== '#' ? hrefAttr.trim() : null\n }\n\n return selector\n}\n\nconst getSelectorFromElement = element => {\n const selector = getSelector(element)\n\n if (selector) {\n return document.querySelector(selector) ? selector : null\n }\n\n return null\n}\n\nconst getElementFromSelector = element => {\n const selector = getSelector(element)\n\n return selector ? document.querySelector(selector) : null\n}\n\nconst getTransitionDurationFromElement = element => {\n if (!element) {\n return 0\n }\n\n // Get transition-duration of the element\n let { transitionDuration, transitionDelay } = window.getComputedStyle(element)\n\n const floatTransitionDuration = Number.parseFloat(transitionDuration)\n const floatTransitionDelay = Number.parseFloat(transitionDelay)\n\n // Return 0 if element or transition duration is not found\n if (!floatTransitionDuration && !floatTransitionDelay) {\n return 0\n }\n\n // If multiple durations are defined, take the first\n transitionDuration = transitionDuration.split(',')[0]\n transitionDelay = transitionDelay.split(',')[0]\n\n return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER\n}\n\nconst triggerTransitionEnd = element => {\n element.dispatchEvent(new Event(TRANSITION_END))\n}\n\nconst isElement = obj => {\n if (!obj || typeof obj !== 'object') {\n return false\n }\n\n if (typeof obj.jquery !== 'undefined') {\n obj = obj[0]\n }\n\n return typeof obj.nodeType !== 'undefined'\n}\n\nconst getElement = obj => {\n if (isElement(obj)) { // it's a jQuery object or a node element\n return obj.jquery ? obj[0] : obj\n }\n\n if (typeof obj === 'string' && obj.length > 0) {\n return document.querySelector(obj)\n }\n\n return null\n}\n\nconst typeCheckConfig = (componentName, config, configTypes) => {\n Object.keys(configTypes).forEach(property => {\n const expectedTypes = configTypes[property]\n const value = config[property]\n const valueType = value && isElement(value) ? 'element' : toType(value)\n\n if (!new RegExp(expectedTypes).test(valueType)) {\n throw new TypeError(\n `${componentName.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`\n )\n }\n })\n}\n\nconst isVisible = element => {\n if (!isElement(element) || element.getClientRects().length === 0) {\n return false\n }\n\n return getComputedStyle(element).getPropertyValue('visibility') === 'visible'\n}\n\nconst isDisabled = element => {\n if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n return true\n }\n\n if (element.classList.contains('disabled')) {\n return true\n }\n\n if (typeof element.disabled !== 'undefined') {\n return element.disabled\n }\n\n return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false'\n}\n\nconst findShadowRoot = element => {\n if (!document.documentElement.attachShadow) {\n return null\n }\n\n // Can find the shadow root otherwise it'll return the document\n if (typeof element.getRootNode === 'function') {\n const root = element.getRootNode()\n return root instanceof ShadowRoot ? root : null\n }\n\n if (element instanceof ShadowRoot) {\n return element\n }\n\n // when we don't find a shadow root\n if (!element.parentNode) {\n return null\n }\n\n return findShadowRoot(element.parentNode)\n}\n\nconst noop = () => {}\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n // eslint-disable-next-line no-unused-expressions\n element.offsetHeight\n}\n\nconst getjQuery = () => {\n const { jQuery } = window\n\n if (jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n return jQuery\n }\n\n return null\n}\n\nconst DOMContentLoadedCallbacks = []\n\nconst onDOMContentLoaded = callback => {\n if (document.readyState === 'loading') {\n // add listener on the first call when the document is in loading state\n if (!DOMContentLoadedCallbacks.length) {\n document.addEventListener('DOMContentLoaded', () => {\n DOMContentLoadedCallbacks.forEach(callback => callback())\n })\n }\n\n DOMContentLoadedCallbacks.push(callback)\n } else {\n callback()\n }\n}\n\nconst isRTL = () => document.documentElement.dir === 'rtl'\n\nconst defineJQueryPlugin = plugin => {\n onDOMContentLoaded(() => {\n const $ = getjQuery()\n /* istanbul ignore if */\n if ($) {\n const name = plugin.NAME\n const JQUERY_NO_CONFLICT = $.fn[name]\n $.fn[name] = plugin.jQueryInterface\n $.fn[name].Constructor = plugin\n $.fn[name].noConflict = () => {\n $.fn[name] = JQUERY_NO_CONFLICT\n return plugin.jQueryInterface\n }\n }\n })\n}\n\nconst execute = callback => {\n if (typeof callback === 'function') {\n callback()\n }\n}\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n if (!waitForTransition) {\n execute(callback)\n return\n }\n\n const durationPadding = 5\n const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding\n\n let called = false\n\n const handler = ({ target }) => {\n if (target !== transitionElement) {\n return\n }\n\n called = true\n transitionElement.removeEventListener(TRANSITION_END, handler)\n execute(callback)\n }\n\n transitionElement.addEventListener(TRANSITION_END, handler)\n setTimeout(() => {\n if (!called) {\n triggerTransitionEnd(transitionElement)\n }\n }, emulatedDuration)\n}\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list The list of elements\n * @param activeElement The active element\n * @param shouldGetNext Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n let index = list.indexOf(activeElement)\n\n // if the element does not exist in the list return an element depending on the direction and if cycle is allowed\n if (index === -1) {\n return list[!shouldGetNext && isCycleAllowed ? list.length - 1 : 0]\n }\n\n const listLength = list.length\n\n index += shouldGetNext ? 1 : -1\n\n if (isCycleAllowed) {\n index = (index + listLength) % listLength\n }\n\n return list[Math.max(0, Math.min(index, listLength - 1))]\n}\n\nexport {\n getElement,\n getUID,\n getSelectorFromElement,\n getElementFromSelector,\n getTransitionDurationFromElement,\n triggerTransitionEnd,\n isElement,\n typeCheckConfig,\n isVisible,\n isDisabled,\n findShadowRoot,\n noop,\n getNextActiveElement,\n reflow,\n getjQuery,\n onDOMContentLoaded,\n isRTL,\n defineJQueryPlugin,\n execute,\n executeAfterTransition\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { getjQuery } from '../util/index'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/\nconst stripNameRegex = /\\..*/\nconst stripUidRegex = /::\\d+$/\nconst eventRegistry = {} // Events storage\nlet uidEvent = 1\nconst customEvents = {\n mouseenter: 'mouseover',\n mouseleave: 'mouseout'\n}\nconst customEventsRegex = /^(mouseenter|mouseleave)/i\nconst nativeEvents = new Set([\n 'click',\n 'dblclick',\n 'mouseup',\n 'mousedown',\n 'contextmenu',\n 'mousewheel',\n 'DOMMouseScroll',\n 'mouseover',\n 'mouseout',\n 'mousemove',\n 'selectstart',\n 'selectend',\n 'keydown',\n 'keypress',\n 'keyup',\n 'orientationchange',\n 'touchstart',\n 'touchmove',\n 'touchend',\n 'touchcancel',\n 'pointerdown',\n 'pointermove',\n 'pointerup',\n 'pointerleave',\n 'pointercancel',\n 'gesturestart',\n 'gesturechange',\n 'gestureend',\n 'focus',\n 'blur',\n 'change',\n 'reset',\n 'select',\n 'submit',\n 'focusin',\n 'focusout',\n 'load',\n 'unload',\n 'beforeunload',\n 'resize',\n 'move',\n 'DOMContentLoaded',\n 'readystatechange',\n 'error',\n 'abort',\n 'scroll'\n])\n\n/**\n * ------------------------------------------------------------------------\n * Private methods\n * ------------------------------------------------------------------------\n */\n\nfunction getUidEvent(element, uid) {\n return (uid && `${uid}::${uidEvent++}`) || element.uidEvent || uidEvent++\n}\n\nfunction getEvent(element) {\n const uid = getUidEvent(element)\n\n element.uidEvent = uid\n eventRegistry[uid] = eventRegistry[uid] || {}\n\n return eventRegistry[uid]\n}\n\nfunction bootstrapHandler(element, fn) {\n return function handler(event) {\n event.delegateTarget = element\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, fn)\n }\n\n return fn.apply(element, [event])\n }\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n return function handler(event) {\n const domElements = element.querySelectorAll(selector)\n\n for (let { target } = event; target && target !== this; target = target.parentNode) {\n for (let i = domElements.length; i--;) {\n if (domElements[i] === target) {\n event.delegateTarget = target\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, selector, fn)\n }\n\n return fn.apply(target, [event])\n }\n }\n }\n\n // To please ESLint\n return null\n }\n}\n\nfunction findHandler(events, handler, delegationSelector = null) {\n const uidEventList = Object.keys(events)\n\n for (let i = 0, len = uidEventList.length; i < len; i++) {\n const event = events[uidEventList[i]]\n\n if (event.originalHandler === handler && event.delegationSelector === delegationSelector) {\n return event\n }\n }\n\n return null\n}\n\nfunction normalizeParams(originalTypeEvent, handler, delegationFn) {\n const delegation = typeof handler === 'string'\n const originalHandler = delegation ? delegationFn : handler\n\n let typeEvent = getTypeEvent(originalTypeEvent)\n const isNative = nativeEvents.has(typeEvent)\n\n if (!isNative) {\n typeEvent = originalTypeEvent\n }\n\n return [delegation, originalHandler, typeEvent]\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFn, oneOff) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return\n }\n\n if (!handler) {\n handler = delegationFn\n delegationFn = null\n }\n\n // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n if (customEventsRegex.test(originalTypeEvent)) {\n const wrapFn = fn => {\n return function (event) {\n if (!event.relatedTarget || (event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget))) {\n return fn.call(this, event)\n }\n }\n }\n\n if (delegationFn) {\n delegationFn = wrapFn(delegationFn)\n } else {\n handler = wrapFn(handler)\n }\n }\n\n const [delegation, originalHandler, typeEvent] = normalizeParams(originalTypeEvent, handler, delegationFn)\n const events = getEvent(element)\n const handlers = events[typeEvent] || (events[typeEvent] = {})\n const previousFn = findHandler(handlers, originalHandler, delegation ? handler : null)\n\n if (previousFn) {\n previousFn.oneOff = previousFn.oneOff && oneOff\n\n return\n }\n\n const uid = getUidEvent(originalHandler, originalTypeEvent.replace(namespaceRegex, ''))\n const fn = delegation ?\n bootstrapDelegationHandler(element, handler, delegationFn) :\n bootstrapHandler(element, handler)\n\n fn.delegationSelector = delegation ? handler : null\n fn.originalHandler = originalHandler\n fn.oneOff = oneOff\n fn.uidEvent = uid\n handlers[uid] = fn\n\n element.addEventListener(typeEvent, fn, delegation)\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n const fn = findHandler(events[typeEvent], handler, delegationSelector)\n\n if (!fn) {\n return\n }\n\n element.removeEventListener(typeEvent, fn, Boolean(delegationSelector))\n delete events[typeEvent][fn.uidEvent]\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n const storeElementEvent = events[typeEvent] || {}\n\n Object.keys(storeElementEvent).forEach(handlerKey => {\n if (handlerKey.includes(namespace)) {\n const event = storeElementEvent[handlerKey]\n\n removeHandler(element, events, typeEvent, event.originalHandler, event.delegationSelector)\n }\n })\n}\n\nfunction getTypeEvent(event) {\n // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n event = event.replace(stripNameRegex, '')\n return customEvents[event] || event\n}\n\nconst EventHandler = {\n on(element, event, handler, delegationFn) {\n addHandler(element, event, handler, delegationFn, false)\n },\n\n one(element, event, handler, delegationFn) {\n addHandler(element, event, handler, delegationFn, true)\n },\n\n off(element, originalTypeEvent, handler, delegationFn) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return\n }\n\n const [delegation, originalHandler, typeEvent] = normalizeParams(originalTypeEvent, handler, delegationFn)\n const inNamespace = typeEvent !== originalTypeEvent\n const events = getEvent(element)\n const isNamespace = originalTypeEvent.startsWith('.')\n\n if (typeof originalHandler !== 'undefined') {\n // Simplest case: handler is passed, remove that listener ONLY.\n if (!events || !events[typeEvent]) {\n return\n }\n\n removeHandler(element, events, typeEvent, originalHandler, delegation ? handler : null)\n return\n }\n\n if (isNamespace) {\n Object.keys(events).forEach(elementEvent => {\n removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n })\n }\n\n const storeElementEvent = events[typeEvent] || {}\n Object.keys(storeElementEvent).forEach(keyHandlers => {\n const handlerKey = keyHandlers.replace(stripUidRegex, '')\n\n if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n const event = storeElementEvent[keyHandlers]\n\n removeHandler(element, events, typeEvent, event.originalHandler, event.delegationSelector)\n }\n })\n },\n\n trigger(element, event, args) {\n if (typeof event !== 'string' || !element) {\n return null\n }\n\n const $ = getjQuery()\n const typeEvent = getTypeEvent(event)\n const inNamespace = event !== typeEvent\n const isNative = nativeEvents.has(typeEvent)\n\n let jQueryEvent\n let bubbles = true\n let nativeDispatch = true\n let defaultPrevented = false\n let evt = null\n\n if (inNamespace && $) {\n jQueryEvent = $.Event(event, args)\n\n $(element).trigger(jQueryEvent)\n bubbles = !jQueryEvent.isPropagationStopped()\n nativeDispatch = !jQueryEvent.isImmediatePropagationStopped()\n defaultPrevented = jQueryEvent.isDefaultPrevented()\n }\n\n if (isNative) {\n evt = document.createEvent('HTMLEvents')\n evt.initEvent(typeEvent, bubbles, true)\n } else {\n evt = new CustomEvent(event, {\n bubbles,\n cancelable: true\n })\n }\n\n // merge custom information in our event\n if (typeof args !== 'undefined') {\n Object.keys(args).forEach(key => {\n Object.defineProperty(evt, key, {\n get() {\n return args[key]\n }\n })\n })\n }\n\n if (defaultPrevented) {\n evt.preventDefault()\n }\n\n if (nativeDispatch) {\n element.dispatchEvent(evt)\n }\n\n if (evt.defaultPrevented && typeof jQueryEvent !== 'undefined') {\n jQueryEvent.preventDefault()\n }\n\n return evt\n }\n}\n\nexport default EventHandler\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst elementMap = new Map()\n\nexport default {\n set(element, key, instance) {\n if (!elementMap.has(element)) {\n elementMap.set(element, new Map())\n }\n\n const instanceMap = elementMap.get(element)\n\n // make it clear we only want one instance per element\n // can be removed later when multiple key/instances are fine to be used\n if (!instanceMap.has(key) && instanceMap.size !== 0) {\n // eslint-disable-next-line no-console\n console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`)\n return\n }\n\n instanceMap.set(key, instance)\n },\n\n get(element, key) {\n if (elementMap.has(element)) {\n return elementMap.get(element).get(key) || null\n }\n\n return null\n },\n\n remove(element, key) {\n if (!elementMap.has(element)) {\n return\n }\n\n const instanceMap = elementMap.get(element)\n\n instanceMap.delete(key)\n\n // free up element references if there are no instances left for an element\n if (instanceMap.size === 0) {\n elementMap.delete(element)\n }\n }\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Data from './dom/data'\nimport {\n executeAfterTransition,\n getElement\n} from './util/index'\nimport EventHandler from './dom/event-handler'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst VERSION = '5.1.3'\n\nclass BaseComponent {\n constructor(element) {\n element = getElement(element)\n\n if (!element) {\n return\n }\n\n this._element = element\n Data.set(this._element, this.constructor.DATA_KEY, this)\n }\n\n dispose() {\n Data.remove(this._element, this.constructor.DATA_KEY)\n EventHandler.off(this._element, this.constructor.EVENT_KEY)\n\n Object.getOwnPropertyNames(this).forEach(propertyName => {\n this[propertyName] = null\n })\n }\n\n _queueCallback(callback, element, isAnimated = true) {\n executeAfterTransition(callback, element, isAnimated)\n }\n\n /** Static */\n\n static getInstance(element) {\n return Data.get(getElement(element), this.DATA_KEY)\n }\n\n static getOrCreateInstance(element, config = {}) {\n return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null)\n }\n\n static get VERSION() {\n return VERSION\n }\n\n static get NAME() {\n throw new Error('You have to implement the static method \"NAME\", for each component!')\n }\n\n static get DATA_KEY() {\n return `bs.${this.NAME}`\n }\n\n static get EVENT_KEY() {\n return `.${this.DATA_KEY}`\n }\n}\n\nexport default BaseComponent\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler'\nimport { getElementFromSelector, isDisabled } from './index'\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n const clickEvent = `click.dismiss${component.EVENT_KEY}`\n const name = component.NAME\n\n EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n if (isDisabled(this)) {\n return\n }\n\n const target = getElementFromSelector(this) || this.closest(`.${name}`)\n const instance = component.getOrCreateInstance(target)\n\n // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n instance[method]()\n })\n}\n\nexport {\n enableDismissTrigger\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\nimport { enableDismissTrigger } from './util/component-functions'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'alert'\nconst DATA_KEY = 'bs.alert'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_CLOSE = `close${EVENT_KEY}`\nconst EVENT_CLOSED = `closed${EVENT_KEY}`\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Alert extends BaseComponent {\n // Getters\n\n static get NAME() {\n return NAME\n }\n\n // Public\n\n close() {\n const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE)\n\n if (closeEvent.defaultPrevented) {\n return\n }\n\n this._element.classList.remove(CLASS_NAME_SHOW)\n\n const isAnimated = this._element.classList.contains(CLASS_NAME_FADE)\n this._queueCallback(() => this._destroyElement(), this._element, isAnimated)\n }\n\n // Private\n _destroyElement() {\n this._element.remove()\n EventHandler.trigger(this._element, EVENT_CLOSED)\n this.dispose()\n }\n\n // Static\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Alert.getOrCreateInstance(this)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](this)\n })\n }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nenableDismissTrigger(Alert, 'close')\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Alert to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Alert)\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'button'\nconst DATA_KEY = 'bs.button'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"button\"]'\n\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Button extends BaseComponent {\n // Getters\n\n static get NAME() {\n return NAME\n }\n\n // Public\n\n toggle() {\n // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE))\n }\n\n // Static\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Button.getOrCreateInstance(this)\n\n if (config === 'toggle') {\n data[config]()\n }\n })\n }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, event => {\n event.preventDefault()\n\n const button = event.target.closest(SELECTOR_DATA_TOGGLE)\n const data = Button.getOrCreateInstance(button)\n\n data.toggle()\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Button to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Button)\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(val) {\n if (val === 'true') {\n return true\n }\n\n if (val === 'false') {\n return false\n }\n\n if (val === Number(val).toString()) {\n return Number(val)\n }\n\n if (val === '' || val === 'null') {\n return null\n }\n\n return val\n}\n\nfunction normalizeDataKey(key) {\n return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`)\n}\n\nconst Manipulator = {\n setDataAttribute(element, key, value) {\n element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value)\n },\n\n removeDataAttribute(element, key) {\n element.removeAttribute(`data-bs-${normalizeDataKey(key)}`)\n },\n\n getDataAttributes(element) {\n if (!element) {\n return {}\n }\n\n const attributes = {}\n\n Object.keys(element.dataset)\n .filter(key => key.startsWith('bs'))\n .forEach(key => {\n let pureKey = key.replace(/^bs/, '')\n pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length)\n attributes[pureKey] = normalizeData(element.dataset[key])\n })\n\n return attributes\n },\n\n getDataAttribute(element, key) {\n return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`))\n },\n\n offset(element) {\n const rect = element.getBoundingClientRect()\n\n return {\n top: rect.top + window.pageYOffset,\n left: rect.left + window.pageXOffset\n }\n },\n\n position(element) {\n return {\n top: element.offsetTop,\n left: element.offsetLeft\n }\n }\n}\n\nexport default Manipulator\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nimport { isDisabled, isVisible } from '../util/index'\n\nconst NODE_TEXT = 3\n\nconst SelectorEngine = {\n find(selector, element = document.documentElement) {\n return [].concat(...Element.prototype.querySelectorAll.call(element, selector))\n },\n\n findOne(selector, element = document.documentElement) {\n return Element.prototype.querySelector.call(element, selector)\n },\n\n children(element, selector) {\n return [].concat(...element.children)\n .filter(child => child.matches(selector))\n },\n\n parents(element, selector) {\n const parents = []\n\n let ancestor = element.parentNode\n\n while (ancestor && ancestor.nodeType === Node.ELEMENT_NODE && ancestor.nodeType !== NODE_TEXT) {\n if (ancestor.matches(selector)) {\n parents.push(ancestor)\n }\n\n ancestor = ancestor.parentNode\n }\n\n return parents\n },\n\n prev(element, selector) {\n let previous = element.previousElementSibling\n\n while (previous) {\n if (previous.matches(selector)) {\n return [previous]\n }\n\n previous = previous.previousElementSibling\n }\n\n return []\n },\n\n next(element, selector) {\n let next = element.nextElementSibling\n\n while (next) {\n if (next.matches(selector)) {\n return [next]\n }\n\n next = next.nextElementSibling\n }\n\n return []\n },\n\n focusableChildren(element) {\n const focusables = [\n 'a',\n 'button',\n 'input',\n 'textarea',\n 'select',\n 'details',\n '[tabindex]',\n '[contenteditable=\"true\"]'\n ].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(', ')\n\n return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el))\n }\n}\n\nexport default SelectorEngine\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n defineJQueryPlugin,\n getElementFromSelector,\n isRTL,\n isVisible,\n getNextActiveElement,\n reflow,\n triggerTransitionEnd,\n typeCheckConfig\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'carousel'\nconst DATA_KEY = 'bs.carousel'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\nconst SWIPE_THRESHOLD = 40\n\nconst Default = {\n interval: 5000,\n keyboard: true,\n slide: false,\n pause: 'hover',\n wrap: true,\n touch: true\n}\n\nconst DefaultType = {\n interval: '(number|boolean)',\n keyboard: 'boolean',\n slide: '(boolean|string)',\n pause: '(string|boolean)',\n wrap: 'boolean',\n touch: 'boolean'\n}\n\nconst ORDER_NEXT = 'next'\nconst ORDER_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT = 'right'\n\nconst KEY_TO_DIRECTION = {\n [ARROW_LEFT_KEY]: DIRECTION_RIGHT,\n [ARROW_RIGHT_KEY]: DIRECTION_LEFT\n}\n\nconst EVENT_SLIDE = `slide${EVENT_KEY}`\nconst EVENT_SLID = `slid${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_MOUSEENTER = `mouseenter${EVENT_KEY}`\nconst EVENT_MOUSELEAVE = `mouseleave${EVENT_KEY}`\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY}`\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY}`\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY}`\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY}`\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY}`\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_END = 'carousel-item-end'\nconst CLASS_NAME_START = 'carousel-item-start'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\n\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ACTIVE_ITEM = '.active.carousel-item'\nconst SELECTOR_ITEM = '.carousel-item'\nconst SELECTOR_ITEM_IMG = '.carousel-item img'\nconst SELECTOR_NEXT_PREV = '.carousel-item-next, .carousel-item-prev'\nconst SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_INDICATOR = '[data-bs-target]'\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]'\n\nconst POINTER_TYPE_TOUCH = 'touch'\nconst POINTER_TYPE_PEN = 'pen'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\nclass Carousel extends BaseComponent {\n constructor(element, config) {\n super(element)\n\n this._items = null\n this._interval = null\n this._activeElement = null\n this._isPaused = false\n this._isSliding = false\n this.touchTimeout = null\n this.touchStartX = 0\n this.touchDeltaX = 0\n\n this._config = this._getConfig(config)\n this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element)\n this._touchSupported = 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n this._pointerEvent = Boolean(window.PointerEvent)\n\n this._addEventListeners()\n }\n\n // Getters\n\n static get Default() {\n return Default\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n\n next() {\n this._slide(ORDER_NEXT)\n }\n\n nextWhenVisible() {\n // Don't call next when the page isn't visible\n // or the carousel or its parent isn't visible\n if (!document.hidden && isVisible(this._element)) {\n this.next()\n }\n }\n\n prev() {\n this._slide(ORDER_PREV)\n }\n\n pause(event) {\n if (!event) {\n this._isPaused = true\n }\n\n if (SelectorEngine.findOne(SELECTOR_NEXT_PREV, this._element)) {\n triggerTransitionEnd(this._element)\n this.cycle(true)\n }\n\n clearInterval(this._interval)\n this._interval = null\n }\n\n cycle(event) {\n if (!event) {\n this._isPaused = false\n }\n\n if (this._interval) {\n clearInterval(this._interval)\n this._interval = null\n }\n\n if (this._config && this._config.interval && !this._isPaused) {\n this._updateInterval()\n\n this._interval = setInterval(\n (document.visibilityState ? this.nextWhenVisible : this.next).bind(this),\n this._config.interval\n )\n }\n }\n\n to(index) {\n this._activeElement = SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n const activeIndex = this._getItemIndex(this._activeElement)\n\n if (index > this._items.length - 1 || index < 0) {\n return\n }\n\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.to(index))\n return\n }\n\n if (activeIndex === index) {\n this.pause()\n this.cycle()\n return\n }\n\n const order = index > activeIndex ?\n ORDER_NEXT :\n ORDER_PREV\n\n this._slide(order, this._items[index])\n }\n\n // Private\n\n _getConfig(config) {\n config = {\n ...Default,\n ...Manipulator.getDataAttributes(this._element),\n ...(typeof config === 'object' ? config : {})\n }\n typeCheckConfig(NAME, config, DefaultType)\n return config\n }\n\n _handleSwipe() {\n const absDeltax = Math.abs(this.touchDeltaX)\n\n if (absDeltax <= SWIPE_THRESHOLD) {\n return\n }\n\n const direction = absDeltax / this.touchDeltaX\n\n this.touchDeltaX = 0\n\n if (!direction) {\n return\n }\n\n this._slide(direction > 0 ? DIRECTION_RIGHT : DIRECTION_LEFT)\n }\n\n _addEventListeners() {\n if (this._config.keyboard) {\n EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n }\n\n if (this._config.pause === 'hover') {\n EventHandler.on(this._element, EVENT_MOUSEENTER, event => this.pause(event))\n EventHandler.on(this._element, EVENT_MOUSELEAVE, event => this.cycle(event))\n }\n\n if (this._config.touch && this._touchSupported) {\n this._addTouchEventListeners()\n }\n }\n\n _addTouchEventListeners() {\n const hasPointerPenTouch = event => {\n return this._pointerEvent &&\n (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)\n }\n\n const start = event => {\n if (hasPointerPenTouch(event)) {\n this.touchStartX = event.clientX\n } else if (!this._pointerEvent) {\n this.touchStartX = event.touches[0].clientX\n }\n }\n\n const move = event => {\n // ensure swiping with one touch and not pinching\n this.touchDeltaX = event.touches && event.touches.length > 1 ?\n 0 :\n event.touches[0].clientX - this.touchStartX\n }\n\n const end = event => {\n if (hasPointerPenTouch(event)) {\n this.touchDeltaX = event.clientX - this.touchStartX\n }\n\n this._handleSwipe()\n if (this._config.pause === 'hover') {\n // If it's a touch-enabled device, mouseenter/leave are fired as\n // part of the mouse compatibility events on first tap - the carousel\n // would stop cycling until user tapped out of it;\n // here, we listen for touchend, explicitly pause the carousel\n // (as if it's the second time we tap on it, mouseenter compat event\n // is NOT fired) and after a timeout (to allow for mouse compatibility\n // events to fire) we explicitly restart cycling\n\n this.pause()\n if (this.touchTimeout) {\n clearTimeout(this.touchTimeout)\n }\n\n this.touchTimeout = setTimeout(event => this.cycle(event), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n }\n }\n\n SelectorEngine.find(SELECTOR_ITEM_IMG, this._element).forEach(itemImg => {\n EventHandler.on(itemImg, EVENT_DRAG_START, event => event.preventDefault())\n })\n\n if (this._pointerEvent) {\n EventHandler.on(this._element, EVENT_POINTERDOWN, event => start(event))\n EventHandler.on(this._element, EVENT_POINTERUP, event => end(event))\n\n this._element.classList.add(CLASS_NAME_POINTER_EVENT)\n } else {\n EventHandler.on(this._element, EVENT_TOUCHSTART, event => start(event))\n EventHandler.on(this._element, EVENT_TOUCHMOVE, event => move(event))\n EventHandler.on(this._element, EVENT_TOUCHEND, event => end(event))\n }\n }\n\n _keydown(event) {\n if (/input|textarea/i.test(event.target.tagName)) {\n return\n }\n\n const direction = KEY_TO_DIRECTION[event.key]\n if (direction) {\n event.preventDefault()\n this._slide(direction)\n }\n }\n\n _getItemIndex(element) {\n this._items = element && element.parentNode ?\n SelectorEngine.find(SELECTOR_ITEM, element.parentNode) :\n []\n\n return this._items.indexOf(element)\n }\n\n _getItemByOrder(order, activeElement) {\n const isNext = order === ORDER_NEXT\n return getNextActiveElement(this._items, activeElement, isNext, this._config.wrap)\n }\n\n _triggerSlideEvent(relatedTarget, eventDirectionName) {\n const targetIndex = this._getItemIndex(relatedTarget)\n const fromIndex = this._getItemIndex(SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element))\n\n return EventHandler.trigger(this._element, EVENT_SLIDE, {\n relatedTarget,\n direction: eventDirectionName,\n from: fromIndex,\n to: targetIndex\n })\n }\n\n _setActiveIndicatorElement(element) {\n if (this._indicatorsElement) {\n const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement)\n\n activeIndicator.classList.remove(CLASS_NAME_ACTIVE)\n activeIndicator.removeAttribute('aria-current')\n\n const indicators = SelectorEngine.find(SELECTOR_INDICATOR, this._indicatorsElement)\n\n for (let i = 0; i < indicators.length; i++) {\n if (Number.parseInt(indicators[i].getAttribute('data-bs-slide-to'), 10) === this._getItemIndex(element)) {\n indicators[i].classList.add(CLASS_NAME_ACTIVE)\n indicators[i].setAttribute('aria-current', 'true')\n break\n }\n }\n }\n }\n\n _updateInterval() {\n const element = this._activeElement || SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n\n if (!element) {\n return\n }\n\n const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10)\n\n if (elementInterval) {\n this._config.defaultInterval = this._config.defaultInterval || this._config.interval\n this._config.interval = elementInterval\n } else {\n this._config.interval = this._config.defaultInterval || this._config.interval\n }\n }\n\n _slide(directionOrOrder, element) {\n const order = this._directionToOrder(directionOrOrder)\n const activeElement = SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n const activeElementIndex = this._getItemIndex(activeElement)\n const nextElement = element || this._getItemByOrder(order, activeElement)\n\n const nextElementIndex = this._getItemIndex(nextElement)\n const isCycling = Boolean(this._interval)\n\n const isNext = order === ORDER_NEXT\n const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END\n const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV\n const eventDirectionName = this._orderToDirection(order)\n\n if (nextElement && nextElement.classList.contains(CLASS_NAME_ACTIVE)) {\n this._isSliding = false\n return\n }\n\n if (this._isSliding) {\n return\n }\n\n const slideEvent = this._triggerSlideEvent(nextElement, eventDirectionName)\n if (slideEvent.defaultPrevented) {\n return\n }\n\n if (!activeElement || !nextElement) {\n // Some weirdness is happening, so we bail\n return\n }\n\n this._isSliding = true\n\n if (isCycling) {\n this.pause()\n }\n\n this._setActiveIndicatorElement(nextElement)\n this._activeElement = nextElement\n\n const triggerSlidEvent = () => {\n EventHandler.trigger(this._element, EVENT_SLID, {\n relatedTarget: nextElement,\n direction: eventDirectionName,\n from: activeElementIndex,\n to: nextElementIndex\n })\n }\n\n if (this._element.classList.contains(CLASS_NAME_SLIDE)) {\n nextElement.classList.add(orderClassName)\n\n reflow(nextElement)\n\n activeElement.classList.add(directionalClassName)\n nextElement.classList.add(directionalClassName)\n\n const completeCallBack = () => {\n nextElement.classList.remove(directionalClassName, orderClassName)\n nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n activeElement.classList.remove(CLASS_NAME_ACTIVE, orderClassName, directionalClassName)\n\n this._isSliding = false\n\n setTimeout(triggerSlidEvent, 0)\n }\n\n this._queueCallback(completeCallBack, activeElement, true)\n } else {\n activeElement.classList.remove(CLASS_NAME_ACTIVE)\n nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n this._isSliding = false\n triggerSlidEvent()\n }\n\n if (isCycling) {\n this.cycle()\n }\n }\n\n _directionToOrder(direction) {\n if (![DIRECTION_RIGHT, DIRECTION_LEFT].includes(direction)) {\n return direction\n }\n\n if (isRTL()) {\n return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT\n }\n\n return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV\n }\n\n _orderToDirection(order) {\n if (![ORDER_NEXT, ORDER_PREV].includes(order)) {\n return order\n }\n\n if (isRTL()) {\n return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT\n }\n\n return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT\n }\n\n // Static\n\n static carouselInterface(element, config) {\n const data = Carousel.getOrCreateInstance(element, config)\n\n let { _config } = data\n if (typeof config === 'object') {\n _config = {\n ..._config,\n ...config\n }\n }\n\n const action = typeof config === 'string' ? config : _config.slide\n\n if (typeof config === 'number') {\n data.to(config)\n } else if (typeof action === 'string') {\n if (typeof data[action] === 'undefined') {\n throw new TypeError(`No method named \"${action}\"`)\n }\n\n data[action]()\n } else if (_config.interval && _config.ride) {\n data.pause()\n data.cycle()\n }\n }\n\n static jQueryInterface(config) {\n return this.each(function () {\n Carousel.carouselInterface(this, config)\n })\n }\n\n static dataApiClickHandler(event) {\n const target = getElementFromSelector(this)\n\n if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n return\n }\n\n const config = {\n ...Manipulator.getDataAttributes(target),\n ...Manipulator.getDataAttributes(this)\n }\n const slideIndex = this.getAttribute('data-bs-slide-to')\n\n if (slideIndex) {\n config.interval = false\n }\n\n Carousel.carouselInterface(target, config)\n\n if (slideIndex) {\n Carousel.getInstance(target).to(slideIndex)\n }\n\n event.preventDefault()\n }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_SLIDE, Carousel.dataApiClickHandler)\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE)\n\n for (let i = 0, len = carousels.length; i < len; i++) {\n Carousel.carouselInterface(carousels[i], Carousel.getInstance(carousels[i]))\n }\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Carousel to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Carousel)\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n defineJQueryPlugin,\n getElement,\n getSelectorFromElement,\n getElementFromSelector,\n reflow,\n typeCheckConfig\n} from './util/index'\nimport Data from './dom/data'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'collapse'\nconst DATA_KEY = 'bs.collapse'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst Default = {\n toggle: true,\n parent: null\n}\n\nconst DefaultType = {\n toggle: 'boolean',\n parent: '(null|element)'\n}\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_COLLAPSE = 'collapse'\nconst CLASS_NAME_COLLAPSING = 'collapsing'\nconst CLASS_NAME_COLLAPSED = 'collapsed'\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal'\n\nconst WIDTH = 'width'\nconst HEIGHT = 'height'\n\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"collapse\"]'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Collapse extends BaseComponent {\n constructor(element, config) {\n super(element)\n\n this._isTransitioning = false\n this._config = this._getConfig(config)\n this._triggerArray = []\n\n const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n for (let i = 0, len = toggleList.length; i < len; i++) {\n const elem = toggleList[i]\n const selector = getSelectorFromElement(elem)\n const filterElement = SelectorEngine.find(selector)\n .filter(foundElem => foundElem === this._element)\n\n if (selector !== null && filterElement.length) {\n this._selector = selector\n this._triggerArray.push(elem)\n }\n }\n\n this._initializeChildren()\n\n if (!this._config.parent) {\n this._addAriaAndCollapsedClass(this._triggerArray, this._isShown())\n }\n\n if (this._config.toggle) {\n this.toggle()\n }\n }\n\n // Getters\n\n static get Default() {\n return Default\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n\n toggle() {\n if (this._isShown()) {\n this.hide()\n } else {\n this.show()\n }\n }\n\n show() {\n if (this._isTransitioning || this._isShown()) {\n return\n }\n\n let actives = []\n let activesData\n\n if (this._config.parent) {\n const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent)\n actives = SelectorEngine.find(SELECTOR_ACTIVES, this._config.parent).filter(elem => !children.includes(elem)) // remove children if greater depth\n }\n\n const container = SelectorEngine.findOne(this._selector)\n if (actives.length) {\n const tempActiveData = actives.find(elem => container !== elem)\n activesData = tempActiveData ? Collapse.getInstance(tempActiveData) : null\n\n if (activesData && activesData._isTransitioning) {\n return\n }\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n if (startEvent.defaultPrevented) {\n return\n }\n\n actives.forEach(elemActive => {\n if (container !== elemActive) {\n Collapse.getOrCreateInstance(elemActive, { toggle: false }).hide()\n }\n\n if (!activesData) {\n Data.set(elemActive, DATA_KEY, null)\n }\n })\n\n const dimension = this._getDimension()\n\n this._element.classList.remove(CLASS_NAME_COLLAPSE)\n this._element.classList.add(CLASS_NAME_COLLAPSING)\n\n this._element.style[dimension] = 0\n\n this._addAriaAndCollapsedClass(this._triggerArray, true)\n this._isTransitioning = true\n\n const complete = () => {\n this._isTransitioning = false\n\n this._element.classList.remove(CLASS_NAME_COLLAPSING)\n this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n this._element.style[dimension] = ''\n\n EventHandler.trigger(this._element, EVENT_SHOWN)\n }\n\n const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n const scrollSize = `scroll${capitalizedDimension}`\n\n this._queueCallback(complete, this._element, true)\n this._element.style[dimension] = `${this._element[scrollSize]}px`\n }\n\n hide() {\n if (this._isTransitioning || !this._isShown()) {\n return\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n if (startEvent.defaultPrevented) {\n return\n }\n\n const dimension = this._getDimension()\n\n this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n reflow(this._element)\n\n this._element.classList.add(CLASS_NAME_COLLAPSING)\n this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n const triggerArrayLength = this._triggerArray.length\n for (let i = 0; i < triggerArrayLength; i++) {\n const trigger = this._triggerArray[i]\n const elem = getElementFromSelector(trigger)\n\n if (elem && !this._isShown(elem)) {\n this._addAriaAndCollapsedClass([trigger], false)\n }\n }\n\n this._isTransitioning = true\n\n const complete = () => {\n this._isTransitioning = false\n this._element.classList.remove(CLASS_NAME_COLLAPSING)\n this._element.classList.add(CLASS_NAME_COLLAPSE)\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n }\n\n this._element.style[dimension] = ''\n\n this._queueCallback(complete, this._element, true)\n }\n\n _isShown(element = this._element) {\n return element.classList.contains(CLASS_NAME_SHOW)\n }\n\n // Private\n\n _getConfig(config) {\n config = {\n ...Default,\n ...Manipulator.getDataAttributes(this._element),\n ...config\n }\n config.toggle = Boolean(config.toggle) // Coerce string values\n config.parent = getElement(config.parent)\n typeCheckConfig(NAME, config, DefaultType)\n return config\n }\n\n _getDimension() {\n return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT\n }\n\n _initializeChildren() {\n if (!this._config.parent) {\n return\n }\n\n const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent)\n SelectorEngine.find(SELECTOR_DATA_TOGGLE, this._config.parent).filter(elem => !children.includes(elem))\n .forEach(element => {\n const selected = getElementFromSelector(element)\n\n if (selected) {\n this._addAriaAndCollapsedClass([element], this._isShown(selected))\n }\n })\n }\n\n _addAriaAndCollapsedClass(triggerArray, isOpen) {\n if (!triggerArray.length) {\n return\n }\n\n triggerArray.forEach(elem => {\n if (isOpen) {\n elem.classList.remove(CLASS_NAME_COLLAPSED)\n } else {\n elem.classList.add(CLASS_NAME_COLLAPSED)\n }\n\n elem.setAttribute('aria-expanded', isOpen)\n })\n }\n\n // Static\n\n static jQueryInterface(config) {\n return this.each(function () {\n const _config = {}\n if (typeof config === 'string' && /show|hide/.test(config)) {\n _config.toggle = false\n }\n\n const data = Collapse.getOrCreateInstance(this, _config)\n\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n }\n })\n }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n // preventDefault only for elements (which change the URL) not inside the collapsible element\n if (event.target.tagName === 'A' || (event.delegateTarget && event.delegateTarget.tagName === 'A')) {\n event.preventDefault()\n }\n\n const selector = getSelectorFromElement(this)\n const selectorElements = SelectorEngine.find(selector)\n\n selectorElements.forEach(element => {\n Collapse.getOrCreateInstance(element, { toggle: false }).toggle()\n })\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Collapse to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Collapse)\n\nexport default Collapse\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\n\nimport {\n defineJQueryPlugin,\n getElement,\n getElementFromSelector,\n getNextActiveElement,\n isDisabled,\n isElement,\n isRTL,\n isVisible,\n noop,\n typeCheckConfig\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'dropdown'\nconst DATA_KEY = 'bs.dropdown'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ESCAPE_KEY = 'Escape'\nconst SPACE_KEY = 'Space'\nconst TAB_KEY = 'Tab'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst RIGHT_MOUSE_BUTTON = 2 // MouseEvent.button value for the secondary button, usually the right button\n\nconst REGEXP_KEYDOWN = new RegExp(`${ARROW_UP_KEY}|${ARROW_DOWN_KEY}|${ESCAPE_KEY}`)\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_DROPUP = 'dropup'\nconst CLASS_NAME_DROPEND = 'dropend'\nconst CLASS_NAME_DROPSTART = 'dropstart'\nconst CLASS_NAME_NAVBAR = 'navbar'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"dropdown\"]'\nconst SELECTOR_MENU = '.dropdown-menu'\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav'\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start'\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end'\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start'\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end'\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start'\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start'\n\nconst Default = {\n offset: [0, 2],\n boundary: 'clippingParents',\n reference: 'toggle',\n display: 'dynamic',\n popperConfig: null,\n autoClose: true\n}\n\nconst DefaultType = {\n offset: '(array|string|function)',\n boundary: '(string|element)',\n reference: '(string|element|object)',\n display: 'string',\n popperConfig: '(null|object|function)',\n autoClose: '(boolean|string)'\n}\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Dropdown extends BaseComponent {\n constructor(element, config) {\n super(element)\n\n this._popper = null\n this._config = this._getConfig(config)\n this._menu = this._getMenuElement()\n this._inNavbar = this._detectNavbar()\n }\n\n // Getters\n\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n\n toggle() {\n return this._isShown() ? this.hide() : this.show()\n }\n\n show() {\n if (isDisabled(this._element) || this._isShown(this._menu)) {\n return\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, relatedTarget)\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n const parent = Dropdown.getParentFromElement(this._element)\n // Totally disable Popper for Dropdowns in Navbar\n if (this._inNavbar) {\n Manipulator.setDataAttribute(this._menu, 'popper', 'none')\n } else {\n this._createPopper(parent)\n }\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement &&\n !parent.closest(SELECTOR_NAVBAR_NAV)) {\n [].concat(...document.body.children)\n .forEach(elem => EventHandler.on(elem, 'mouseover', noop))\n }\n\n this._element.focus()\n this._element.setAttribute('aria-expanded', true)\n\n this._menu.classList.add(CLASS_NAME_SHOW)\n this._element.classList.add(CLASS_NAME_SHOW)\n EventHandler.trigger(this._element, EVENT_SHOWN, relatedTarget)\n }\n\n hide() {\n if (isDisabled(this._element) || !this._isShown(this._menu)) {\n return\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n }\n\n this._completeHide(relatedTarget)\n }\n\n dispose() {\n if (this._popper) {\n this._popper.destroy()\n }\n\n super.dispose()\n }\n\n update() {\n this._inNavbar = this._detectNavbar()\n if (this._popper) {\n this._popper.update()\n }\n }\n\n // Private\n\n _completeHide(relatedTarget) {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE, relatedTarget)\n if (hideEvent.defaultPrevented) {\n return\n }\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n [].concat(...document.body.children)\n .forEach(elem => EventHandler.off(elem, 'mouseover', noop))\n }\n\n if (this._popper) {\n this._popper.destroy()\n }\n\n this._menu.classList.remove(CLASS_NAME_SHOW)\n this._element.classList.remove(CLASS_NAME_SHOW)\n this._element.setAttribute('aria-expanded', 'false')\n Manipulator.removeDataAttribute(this._menu, 'popper')\n EventHandler.trigger(this._element, EVENT_HIDDEN, relatedTarget)\n }\n\n _getConfig(config) {\n config = {\n ...this.constructor.Default,\n ...Manipulator.getDataAttributes(this._element),\n ...config\n }\n\n typeCheckConfig(NAME, config, this.constructor.DefaultType)\n\n if (typeof config.reference === 'object' && !isElement(config.reference) &&\n typeof config.reference.getBoundingClientRect !== 'function'\n ) {\n // Popper virtual elements require a getBoundingClientRect method\n throw new TypeError(`${NAME.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`)\n }\n\n return config\n }\n\n _createPopper(parent) {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)')\n }\n\n let referenceElement = this._element\n\n if (this._config.reference === 'parent') {\n referenceElement = parent\n } else if (isElement(this._config.reference)) {\n referenceElement = getElement(this._config.reference)\n } else if (typeof this._config.reference === 'object') {\n referenceElement = this._config.reference\n }\n\n const popperConfig = this._getPopperConfig()\n const isDisplayStatic = popperConfig.modifiers.find(modifier => modifier.name === 'applyStyles' && modifier.enabled === false)\n\n this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig)\n\n if (isDisplayStatic) {\n Manipulator.setDataAttribute(this._menu, 'popper', 'static')\n }\n }\n\n _isShown(element = this._element) {\n return element.classList.contains(CLASS_NAME_SHOW)\n }\n\n _getMenuElement() {\n return SelectorEngine.next(this._element, SELECTOR_MENU)[0]\n }\n\n _getPlacement() {\n const parentDropdown = this._element.parentNode\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n return PLACEMENT_RIGHT\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n return PLACEMENT_LEFT\n }\n\n // We need to trim the value because custom properties can also include spaces\n const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end'\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP\n }\n\n return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM\n }\n\n _detectNavbar() {\n return this._element.closest(`.${CLASS_NAME_NAVBAR}`) !== null\n }\n\n _getOffset() {\n const { offset } = this._config\n\n if (typeof offset === 'string') {\n return offset.split(',').map(val => Number.parseInt(val, 10))\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element)\n }\n\n return offset\n }\n\n _getPopperConfig() {\n const defaultBsPopperConfig = {\n placement: this._getPlacement(),\n modifiers: [{\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n },\n {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }]\n }\n\n // Disable Popper if we have a static display\n if (this._config.display === 'static') {\n defaultBsPopperConfig.modifiers = [{\n name: 'applyStyles',\n enabled: false\n }]\n }\n\n return {\n ...defaultBsPopperConfig,\n ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n }\n }\n\n _selectMenuItem({ key, target }) {\n const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(isVisible)\n\n if (!items.length) {\n return\n }\n\n // if target isn't included in items (e.g. when expanding the dropdown)\n // allow cycling to get the last item in case key equals ARROW_UP_KEY\n getNextActiveElement(items, target, key === ARROW_DOWN_KEY, !items.includes(target)).focus()\n }\n\n // Static\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Dropdown.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n\n static clearMenus(event) {\n if (event && (event.button === RIGHT_MOUSE_BUTTON || (event.type === 'keyup' && event.key !== TAB_KEY))) {\n return\n }\n\n const toggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n for (let i = 0, len = toggles.length; i < len; i++) {\n const context = Dropdown.getInstance(toggles[i])\n if (!context || context._config.autoClose === false) {\n continue\n }\n\n if (!context._isShown()) {\n continue\n }\n\n const relatedTarget = {\n relatedTarget: context._element\n }\n\n if (event) {\n const composedPath = event.composedPath()\n const isMenuTarget = composedPath.includes(context._menu)\n if (\n composedPath.includes(context._element) ||\n (context._config.autoClose === 'inside' && !isMenuTarget) ||\n (context._config.autoClose === 'outside' && isMenuTarget)\n ) {\n continue\n }\n\n // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n if (context._menu.contains(event.target) && ((event.type === 'keyup' && event.key === TAB_KEY) || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n continue\n }\n\n if (event.type === 'click') {\n relatedTarget.clickEvent = event\n }\n }\n\n context._completeHide(relatedTarget)\n }\n }\n\n static getParentFromElement(element) {\n return getElementFromSelector(element) || element.parentNode\n }\n\n static dataApiKeydownHandler(event) {\n // If not input/textarea:\n // - And not a key in REGEXP_KEYDOWN => not a dropdown command\n // If input/textarea:\n // - If space key => not a dropdown command\n // - If key is other than escape\n // - If key is not up or down => not a dropdown command\n // - If trigger inside the menu => not a dropdown command\n if (/input|textarea/i.test(event.target.tagName) ?\n event.key === SPACE_KEY || (event.key !== ESCAPE_KEY &&\n ((event.key !== ARROW_DOWN_KEY && event.key !== ARROW_UP_KEY) ||\n event.target.closest(SELECTOR_MENU))) :\n !REGEXP_KEYDOWN.test(event.key)) {\n return\n }\n\n const isActive = this.classList.contains(CLASS_NAME_SHOW)\n\n if (!isActive && event.key === ESCAPE_KEY) {\n return\n }\n\n event.preventDefault()\n event.stopPropagation()\n\n if (isDisabled(this)) {\n return\n }\n\n const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE)[0]\n const instance = Dropdown.getOrCreateInstance(getToggleButton)\n\n if (event.key === ESCAPE_KEY) {\n instance.hide()\n return\n }\n\n if (event.key === ARROW_UP_KEY || event.key === ARROW_DOWN_KEY) {\n if (!isActive) {\n instance.show()\n }\n\n instance._selectMenuItem(event)\n return\n }\n\n if (!isActive || event.key === SPACE_KEY) {\n Dropdown.clearMenus()\n }\n }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_CLICK_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n event.preventDefault()\n Dropdown.getOrCreateInstance(this).toggle()\n})\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Dropdown to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Dropdown)\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport SelectorEngine from '../dom/selector-engine'\nimport Manipulator from '../dom/manipulator'\nimport { isElement } from './index'\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'\nconst SELECTOR_STICKY_CONTENT = '.sticky-top'\n\nclass ScrollBarHelper {\n constructor() {\n this._element = document.body\n }\n\n getWidth() {\n // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n const documentWidth = document.documentElement.clientWidth\n return Math.abs(window.innerWidth - documentWidth)\n }\n\n hide() {\n const width = this.getWidth()\n this._disableOverFlow()\n // give padding to element to balance the hidden scrollbar width\n this._setElementAttributes(this._element, 'paddingRight', calculatedValue => calculatedValue + width)\n // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n this._setElementAttributes(SELECTOR_FIXED_CONTENT, 'paddingRight', calculatedValue => calculatedValue + width)\n this._setElementAttributes(SELECTOR_STICKY_CONTENT, 'marginRight', calculatedValue => calculatedValue - width)\n }\n\n _disableOverFlow() {\n this._saveInitialAttribute(this._element, 'overflow')\n this._element.style.overflow = 'hidden'\n }\n\n _setElementAttributes(selector, styleProp, callback) {\n const scrollbarWidth = this.getWidth()\n const manipulationCallBack = element => {\n if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n return\n }\n\n this._saveInitialAttribute(element, styleProp)\n const calculatedValue = window.getComputedStyle(element)[styleProp]\n element.style[styleProp] = `${callback(Number.parseFloat(calculatedValue))}px`\n }\n\n this._applyManipulationCallback(selector, manipulationCallBack)\n }\n\n reset() {\n this._resetElementAttributes(this._element, 'overflow')\n this._resetElementAttributes(this._element, 'paddingRight')\n this._resetElementAttributes(SELECTOR_FIXED_CONTENT, 'paddingRight')\n this._resetElementAttributes(SELECTOR_STICKY_CONTENT, 'marginRight')\n }\n\n _saveInitialAttribute(element, styleProp) {\n const actualValue = element.style[styleProp]\n if (actualValue) {\n Manipulator.setDataAttribute(element, styleProp, actualValue)\n }\n }\n\n _resetElementAttributes(selector, styleProp) {\n const manipulationCallBack = element => {\n const value = Manipulator.getDataAttribute(element, styleProp)\n if (typeof value === 'undefined') {\n element.style.removeProperty(styleProp)\n } else {\n Manipulator.removeDataAttribute(element, styleProp)\n element.style[styleProp] = value\n }\n }\n\n this._applyManipulationCallback(selector, manipulationCallBack)\n }\n\n _applyManipulationCallback(selector, callBack) {\n if (isElement(selector)) {\n callBack(selector)\n } else {\n SelectorEngine.find(selector, this._element).forEach(callBack)\n }\n }\n\n isOverflowing() {\n return this.getWidth() > 0\n }\n}\n\nexport default ScrollBarHelper\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler'\nimport { execute, executeAfterTransition, getElement, reflow, typeCheckConfig } from './index'\n\nconst Default = {\n className: 'modal-backdrop',\n isVisible: true, // if false, we use the backdrop helper without adding any element to the dom\n isAnimated: false,\n rootElement: 'body', // give the choice to place backdrop under different elements\n clickCallback: null\n}\n\nconst DefaultType = {\n className: 'string',\n isVisible: 'boolean',\n isAnimated: 'boolean',\n rootElement: '(element|string)',\n clickCallback: '(function|null)'\n}\nconst NAME = 'backdrop'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME}`\n\nclass Backdrop {\n constructor(config) {\n this._config = this._getConfig(config)\n this._isAppended = false\n this._element = null\n }\n\n show(callback) {\n if (!this._config.isVisible) {\n execute(callback)\n return\n }\n\n this._append()\n\n if (this._config.isAnimated) {\n reflow(this._getElement())\n }\n\n this._getElement().classList.add(CLASS_NAME_SHOW)\n\n this._emulateAnimation(() => {\n execute(callback)\n })\n }\n\n hide(callback) {\n if (!this._config.isVisible) {\n execute(callback)\n return\n }\n\n this._getElement().classList.remove(CLASS_NAME_SHOW)\n\n this._emulateAnimation(() => {\n this.dispose()\n execute(callback)\n })\n }\n\n // Private\n\n _getElement() {\n if (!this._element) {\n const backdrop = document.createElement('div')\n backdrop.className = this._config.className\n if (this._config.isAnimated) {\n backdrop.classList.add(CLASS_NAME_FADE)\n }\n\n this._element = backdrop\n }\n\n return this._element\n }\n\n _getConfig(config) {\n config = {\n ...Default,\n ...(typeof config === 'object' ? config : {})\n }\n\n // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n config.rootElement = getElement(config.rootElement)\n typeCheckConfig(NAME, config, DefaultType)\n return config\n }\n\n _append() {\n if (this._isAppended) {\n return\n }\n\n this._config.rootElement.append(this._getElement())\n\n EventHandler.on(this._getElement(), EVENT_MOUSEDOWN, () => {\n execute(this._config.clickCallback)\n })\n\n this._isAppended = true\n }\n\n dispose() {\n if (!this._isAppended) {\n return\n }\n\n EventHandler.off(this._element, EVENT_MOUSEDOWN)\n\n this._element.remove()\n this._isAppended = false\n }\n\n _emulateAnimation(callback) {\n executeAfterTransition(callback, this._getElement(), this._config.isAnimated)\n }\n}\n\nexport default Backdrop\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler'\nimport SelectorEngine from '../dom/selector-engine'\nimport { typeCheckConfig } from './index'\n\nconst Default = {\n trapElement: null, // The element to trap focus inside of\n autofocus: true\n}\n\nconst DefaultType = {\n trapElement: 'element',\n autofocus: 'boolean'\n}\n\nconst NAME = 'focustrap'\nconst DATA_KEY = 'bs.focustrap'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY}`\n\nconst TAB_KEY = 'Tab'\nconst TAB_NAV_FORWARD = 'forward'\nconst TAB_NAV_BACKWARD = 'backward'\n\nclass FocusTrap {\n constructor(config) {\n this._config = this._getConfig(config)\n this._isActive = false\n this._lastTabNavDirection = null\n }\n\n activate() {\n const { trapElement, autofocus } = this._config\n\n if (this._isActive) {\n return\n }\n\n if (autofocus) {\n trapElement.focus()\n }\n\n EventHandler.off(document, EVENT_KEY) // guard against infinite focus loop\n EventHandler.on(document, EVENT_FOCUSIN, event => this._handleFocusin(event))\n EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event))\n\n this._isActive = true\n }\n\n deactivate() {\n if (!this._isActive) {\n return\n }\n\n this._isActive = false\n EventHandler.off(document, EVENT_KEY)\n }\n\n // Private\n\n _handleFocusin(event) {\n const { target } = event\n const { trapElement } = this._config\n\n if (target === document || target === trapElement || trapElement.contains(target)) {\n return\n }\n\n const elements = SelectorEngine.focusableChildren(trapElement)\n\n if (elements.length === 0) {\n trapElement.focus()\n } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n elements[elements.length - 1].focus()\n } else {\n elements[0].focus()\n }\n }\n\n _handleKeydown(event) {\n if (event.key !== TAB_KEY) {\n return\n }\n\n this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD\n }\n\n _getConfig(config) {\n config = {\n ...Default,\n ...(typeof config === 'object' ? config : {})\n }\n typeCheckConfig(NAME, config, DefaultType)\n return config\n }\n}\n\nexport default FocusTrap\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n defineJQueryPlugin,\n getElementFromSelector,\n isRTL,\n isVisible,\n reflow,\n typeCheckConfig\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport ScrollBarHelper from './util/scrollbar'\nimport BaseComponent from './base-component'\nimport Backdrop from './util/backdrop'\nimport FocusTrap from './util/focustrap'\nimport { enableDismissTrigger } from './util/component-functions'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'modal'\nconst DATA_KEY = 'bs.modal'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst ESCAPE_KEY = 'Escape'\n\nconst Default = {\n backdrop: true,\n keyboard: true,\n focus: true\n}\n\nconst DefaultType = {\n backdrop: '(boolean|string)',\n keyboard: 'boolean',\n focus: 'boolean'\n}\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEUP_DISMISS = `mouseup.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_OPEN = 'modal-open'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_STATIC = 'modal-static'\n\nconst OPEN_SELECTOR = '.modal.show'\nconst SELECTOR_DIALOG = '.modal-dialog'\nconst SELECTOR_MODAL_BODY = '.modal-body'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"modal\"]'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Modal extends BaseComponent {\n constructor(element, config) {\n super(element)\n\n this._config = this._getConfig(config)\n this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element)\n this._backdrop = this._initializeBackDrop()\n this._focustrap = this._initializeFocusTrap()\n this._isShown = false\n this._ignoreBackdropClick = false\n this._isTransitioning = false\n this._scrollBar = new ScrollBarHelper()\n }\n\n // Getters\n\n static get Default() {\n return Default\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget)\n }\n\n show(relatedTarget) {\n if (this._isShown || this._isTransitioning) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n relatedTarget\n })\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._isShown = true\n\n if (this._isAnimated()) {\n this._isTransitioning = true\n }\n\n this._scrollBar.hide()\n\n document.body.classList.add(CLASS_NAME_OPEN)\n\n this._adjustDialog()\n\n this._setEscapeEvent()\n this._setResizeEvent()\n\n EventHandler.on(this._dialog, EVENT_MOUSEDOWN_DISMISS, () => {\n EventHandler.one(this._element, EVENT_MOUSEUP_DISMISS, event => {\n if (event.target === this._element) {\n this._ignoreBackdropClick = true\n }\n })\n })\n\n this._showBackdrop(() => this._showElement(relatedTarget))\n }\n\n hide() {\n if (!this._isShown || this._isTransitioning) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n if (hideEvent.defaultPrevented) {\n return\n }\n\n this._isShown = false\n const isAnimated = this._isAnimated()\n\n if (isAnimated) {\n this._isTransitioning = true\n }\n\n this._setEscapeEvent()\n this._setResizeEvent()\n\n this._focustrap.deactivate()\n\n this._element.classList.remove(CLASS_NAME_SHOW)\n\n EventHandler.off(this._element, EVENT_CLICK_DISMISS)\n EventHandler.off(this._dialog, EVENT_MOUSEDOWN_DISMISS)\n\n this._queueCallback(() => this._hideModal(), this._element, isAnimated)\n }\n\n dispose() {\n [window, this._dialog]\n .forEach(htmlElement => EventHandler.off(htmlElement, EVENT_KEY))\n\n this._backdrop.dispose()\n this._focustrap.deactivate()\n super.dispose()\n }\n\n handleUpdate() {\n this._adjustDialog()\n }\n\n // Private\n\n _initializeBackDrop() {\n return new Backdrop({\n isVisible: Boolean(this._config.backdrop), // 'static' option will be translated to true, and booleans will keep their value\n isAnimated: this._isAnimated()\n })\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n })\n }\n\n _getConfig(config) {\n config = {\n ...Default,\n ...Manipulator.getDataAttributes(this._element),\n ...(typeof config === 'object' ? config : {})\n }\n typeCheckConfig(NAME, config, DefaultType)\n return config\n }\n\n _showElement(relatedTarget) {\n const isAnimated = this._isAnimated()\n const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog)\n\n if (!this._element.parentNode || this._element.parentNode.nodeType !== Node.ELEMENT_NODE) {\n // Don't move modal's DOM position\n document.body.append(this._element)\n }\n\n this._element.style.display = 'block'\n this._element.removeAttribute('aria-hidden')\n this._element.setAttribute('aria-modal', true)\n this._element.setAttribute('role', 'dialog')\n this._element.scrollTop = 0\n\n if (modalBody) {\n modalBody.scrollTop = 0\n }\n\n if (isAnimated) {\n reflow(this._element)\n }\n\n this._element.classList.add(CLASS_NAME_SHOW)\n\n const transitionComplete = () => {\n if (this._config.focus) {\n this._focustrap.activate()\n }\n\n this._isTransitioning = false\n EventHandler.trigger(this._element, EVENT_SHOWN, {\n relatedTarget\n })\n }\n\n this._queueCallback(transitionComplete, this._dialog, isAnimated)\n }\n\n _setEscapeEvent() {\n if (this._isShown) {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (this._config.keyboard && event.key === ESCAPE_KEY) {\n event.preventDefault()\n this.hide()\n } else if (!this._config.keyboard && event.key === ESCAPE_KEY) {\n this._triggerBackdropTransition()\n }\n })\n } else {\n EventHandler.off(this._element, EVENT_KEYDOWN_DISMISS)\n }\n }\n\n _setResizeEvent() {\n if (this._isShown) {\n EventHandler.on(window, EVENT_RESIZE, () => this._adjustDialog())\n } else {\n EventHandler.off(window, EVENT_RESIZE)\n }\n }\n\n _hideModal() {\n this._element.style.display = 'none'\n this._element.setAttribute('aria-hidden', true)\n this._element.removeAttribute('aria-modal')\n this._element.removeAttribute('role')\n this._isTransitioning = false\n this._backdrop.hide(() => {\n document.body.classList.remove(CLASS_NAME_OPEN)\n this._resetAdjustments()\n this._scrollBar.reset()\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n })\n }\n\n _showBackdrop(callback) {\n EventHandler.on(this._element, EVENT_CLICK_DISMISS, event => {\n if (this._ignoreBackdropClick) {\n this._ignoreBackdropClick = false\n return\n }\n\n if (event.target !== event.currentTarget) {\n return\n }\n\n if (this._config.backdrop === true) {\n this.hide()\n } else if (this._config.backdrop === 'static') {\n this._triggerBackdropTransition()\n }\n })\n\n this._backdrop.show(callback)\n }\n\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_FADE)\n }\n\n _triggerBackdropTransition() {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n if (hideEvent.defaultPrevented) {\n return\n }\n\n const { classList, scrollHeight, style } = this._element\n const isModalOverflowing = scrollHeight > document.documentElement.clientHeight\n\n // return if the following background transition hasn't yet completed\n if ((!isModalOverflowing && style.overflowY === 'hidden') || classList.contains(CLASS_NAME_STATIC)) {\n return\n }\n\n if (!isModalOverflowing) {\n style.overflowY = 'hidden'\n }\n\n classList.add(CLASS_NAME_STATIC)\n this._queueCallback(() => {\n classList.remove(CLASS_NAME_STATIC)\n if (!isModalOverflowing) {\n this._queueCallback(() => {\n style.overflowY = ''\n }, this._dialog)\n }\n }, this._dialog)\n\n this._element.focus()\n }\n\n // ----------------------------------------------------------------------\n // the following methods are used to handle overflowing modals\n // ----------------------------------------------------------------------\n\n _adjustDialog() {\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n const scrollbarWidth = this._scrollBar.getWidth()\n const isBodyOverflowing = scrollbarWidth > 0\n\n if ((!isBodyOverflowing && isModalOverflowing && !isRTL()) || (isBodyOverflowing && !isModalOverflowing && isRTL())) {\n this._element.style.paddingLeft = `${scrollbarWidth}px`\n }\n\n if ((isBodyOverflowing && !isModalOverflowing && !isRTL()) || (!isBodyOverflowing && isModalOverflowing && isRTL())) {\n this._element.style.paddingRight = `${scrollbarWidth}px`\n }\n }\n\n _resetAdjustments() {\n this._element.style.paddingLeft = ''\n this._element.style.paddingRight = ''\n }\n\n // Static\n\n static jQueryInterface(config, relatedTarget) {\n return this.each(function () {\n const data = Modal.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](relatedTarget)\n })\n }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n const target = getElementFromSelector(this)\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n EventHandler.one(target, EVENT_SHOW, showEvent => {\n if (showEvent.defaultPrevented) {\n // only register focus restorer if modal will actually get shown\n return\n }\n\n EventHandler.one(target, EVENT_HIDDEN, () => {\n if (isVisible(this)) {\n this.focus()\n }\n })\n })\n\n // avoid conflict when clicking moddal toggler while another one is open\n const allReadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n if (allReadyOpen) {\n Modal.getInstance(allReadyOpen).hide()\n }\n\n const data = Modal.getOrCreateInstance(target)\n\n data.toggle(this)\n})\n\nenableDismissTrigger(Modal)\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Modal to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Modal)\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n defineJQueryPlugin,\n getElementFromSelector,\n isDisabled,\n isVisible,\n typeCheckConfig\n} from './util/index'\nimport ScrollBarHelper from './util/scrollbar'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\nimport SelectorEngine from './dom/selector-engine'\nimport Manipulator from './dom/manipulator'\nimport Backdrop from './util/backdrop'\nimport FocusTrap from './util/focustrap'\nimport { enableDismissTrigger } from './util/component-functions'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'offcanvas'\nconst DATA_KEY = 'bs.offcanvas'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst Default = {\n backdrop: true,\n keyboard: true,\n scroll: false\n}\n\nconst DefaultType = {\n backdrop: 'boolean',\n keyboard: 'boolean',\n scroll: 'boolean'\n}\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"offcanvas\"]'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Offcanvas extends BaseComponent {\n constructor(element, config) {\n super(element)\n\n this._config = this._getConfig(config)\n this._isShown = false\n this._backdrop = this._initializeBackDrop()\n this._focustrap = this._initializeFocusTrap()\n this._addEventListeners()\n }\n\n // Getters\n\n static get NAME() {\n return NAME\n }\n\n static get Default() {\n return Default\n }\n\n // Public\n\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget)\n }\n\n show(relatedTarget) {\n if (this._isShown) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, { relatedTarget })\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._isShown = true\n this._element.style.visibility = 'visible'\n\n this._backdrop.show()\n\n if (!this._config.scroll) {\n new ScrollBarHelper().hide()\n }\n\n this._element.removeAttribute('aria-hidden')\n this._element.setAttribute('aria-modal', true)\n this._element.setAttribute('role', 'dialog')\n this._element.classList.add(CLASS_NAME_SHOW)\n\n const completeCallBack = () => {\n if (!this._config.scroll) {\n this._focustrap.activate()\n }\n\n EventHandler.trigger(this._element, EVENT_SHOWN, { relatedTarget })\n }\n\n this._queueCallback(completeCallBack, this._element, true)\n }\n\n hide() {\n if (!this._isShown) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n if (hideEvent.defaultPrevented) {\n return\n }\n\n this._focustrap.deactivate()\n this._element.blur()\n this._isShown = false\n this._element.classList.remove(CLASS_NAME_SHOW)\n this._backdrop.hide()\n\n const completeCallback = () => {\n this._element.setAttribute('aria-hidden', true)\n this._element.removeAttribute('aria-modal')\n this._element.removeAttribute('role')\n this._element.style.visibility = 'hidden'\n\n if (!this._config.scroll) {\n new ScrollBarHelper().reset()\n }\n\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n }\n\n this._queueCallback(completeCallback, this._element, true)\n }\n\n dispose() {\n this._backdrop.dispose()\n this._focustrap.deactivate()\n super.dispose()\n }\n\n // Private\n\n _getConfig(config) {\n config = {\n ...Default,\n ...Manipulator.getDataAttributes(this._element),\n ...(typeof config === 'object' ? config : {})\n }\n typeCheckConfig(NAME, config, DefaultType)\n return config\n }\n\n _initializeBackDrop() {\n return new Backdrop({\n className: CLASS_NAME_BACKDROP,\n isVisible: this._config.backdrop,\n isAnimated: true,\n rootElement: this._element.parentNode,\n clickCallback: () => this.hide()\n })\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n })\n }\n\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (this._config.keyboard && event.key === ESCAPE_KEY) {\n this.hide()\n }\n })\n }\n\n // Static\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Offcanvas.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](this)\n })\n }\n}\n\n/**\n * ------------------------------------------------------------------------\n * Data Api implementation\n * ------------------------------------------------------------------------\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n const target = getElementFromSelector(this)\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n if (isDisabled(this)) {\n return\n }\n\n EventHandler.one(target, EVENT_HIDDEN, () => {\n // focus on trigger when it is closed\n if (isVisible(this)) {\n this.focus()\n }\n })\n\n // avoid conflict when clicking a toggler of an offcanvas, while another is open\n const allReadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n if (allReadyOpen && allReadyOpen !== target) {\n Offcanvas.getInstance(allReadyOpen).hide()\n }\n\n const data = Offcanvas.getOrCreateInstance(target)\n data.toggle(this)\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () =>\n SelectorEngine.find(OPEN_SELECTOR).forEach(el => Offcanvas.getOrCreateInstance(el).show())\n)\n\nenableDismissTrigger(Offcanvas)\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n */\n\ndefineJQueryPlugin(Offcanvas)\n\nexport default Offcanvas\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst uriAttributes = new Set([\n 'background',\n 'cite',\n 'href',\n 'itemtype',\n 'longdesc',\n 'poster',\n 'src',\n 'xlink:href'\n])\n\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\n/**\n * A pattern that recognizes a commonly useful subset of URLs that are safe.\n *\n * Shoutout to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\nconst SAFE_URL_PATTERN = /^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i\n\n/**\n * A pattern that matches safe data URLs. Only matches image, video and audio types.\n *\n * Shoutout to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\nconst DATA_URL_PATTERN = /^data:(?:image\\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\\/(?:mpeg|mp4|ogg|webm)|audio\\/(?:mp3|oga|ogg|opus));base64,[\\d+/a-z]+=*$/i\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n const attributeName = attribute.nodeName.toLowerCase()\n\n if (allowedAttributeList.includes(attributeName)) {\n if (uriAttributes.has(attributeName)) {\n return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue) || DATA_URL_PATTERN.test(attribute.nodeValue))\n }\n\n return true\n }\n\n const regExp = allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp)\n\n // Check if a regular expression validates the attribute.\n for (let i = 0, len = regExp.length; i < len; i++) {\n if (regExp[i].test(attributeName)) {\n return true\n }\n }\n\n return false\n}\n\nexport const DefaultAllowlist = {\n // Global attributes allowed on any supplied element below.\n '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n a: ['target', 'href', 'title', 'rel'],\n area: [],\n b: [],\n br: [],\n col: [],\n code: [],\n div: [],\n em: [],\n hr: [],\n h1: [],\n h2: [],\n h3: [],\n h4: [],\n h5: [],\n h6: [],\n i: [],\n img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n li: [],\n ol: [],\n p: [],\n pre: [],\n s: [],\n small: [],\n span: [],\n sub: [],\n sup: [],\n strong: [],\n u: [],\n ul: []\n}\n\nexport function sanitizeHtml(unsafeHtml, allowList, sanitizeFn) {\n if (!unsafeHtml.length) {\n return unsafeHtml\n }\n\n if (sanitizeFn && typeof sanitizeFn === 'function') {\n return sanitizeFn(unsafeHtml)\n }\n\n const domParser = new window.DOMParser()\n const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n const elements = [].concat(...createdDocument.body.querySelectorAll('*'))\n\n for (let i = 0, len = elements.length; i < len; i++) {\n const element = elements[i]\n const elementName = element.nodeName.toLowerCase()\n\n if (!Object.keys(allowList).includes(elementName)) {\n element.remove()\n\n continue\n }\n\n const attributeList = [].concat(...element.attributes)\n const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || [])\n\n attributeList.forEach(attribute => {\n if (!allowedAttribute(attribute, allowedAttributes)) {\n element.removeAttribute(attribute.nodeName)\n }\n })\n }\n\n return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\n\nimport {\n defineJQueryPlugin,\n findShadowRoot,\n getElement,\n getUID,\n isElement,\n isRTL,\n noop,\n typeCheckConfig\n} from './util/index'\nimport { DefaultAllowlist, sanitizeHtml } from './util/sanitizer'\nimport Data from './dom/data'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'tooltip'\nconst DATA_KEY = 'bs.tooltip'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst CLASS_PREFIX = 'bs-tooltip'\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn'])\n\nconst DefaultType = {\n animation: 'boolean',\n template: 'string',\n title: '(string|element|function)',\n trigger: 'string',\n delay: '(number|object)',\n html: 'boolean',\n selector: '(string|boolean)',\n placement: '(string|function)',\n offset: '(array|string|function)',\n container: '(string|element|boolean)',\n fallbackPlacements: 'array',\n boundary: '(string|element)',\n customClass: '(string|function)',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n allowList: 'object',\n popperConfig: '(null|object|function)'\n}\n\nconst AttachmentMap = {\n AUTO: 'auto',\n TOP: 'top',\n RIGHT: isRTL() ? 'left' : 'right',\n BOTTOM: 'bottom',\n LEFT: isRTL() ? 'right' : 'left'\n}\n\nconst Default = {\n animation: true,\n template: '

',\n trigger: 'hover focus',\n title: '',\n delay: 0,\n html: false,\n selector: false,\n placement: 'top',\n offset: [0, 0],\n container: false,\n fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n boundary: 'clippingParents',\n customClass: '',\n sanitize: true,\n sanitizeFn: null,\n allowList: DefaultAllowlist,\n popperConfig: null\n}\n\nconst Event = {\n HIDE: `hide${EVENT_KEY}`,\n HIDDEN: `hidden${EVENT_KEY}`,\n SHOW: `show${EVENT_KEY}`,\n SHOWN: `shown${EVENT_KEY}`,\n INSERTED: `inserted${EVENT_KEY}`,\n CLICK: `click${EVENT_KEY}`,\n FOCUSIN: `focusin${EVENT_KEY}`,\n FOCUSOUT: `focusout${EVENT_KEY}`,\n MOUSEENTER: `mouseenter${EVENT_KEY}`,\n MOUSELEAVE: `mouseleave${EVENT_KEY}`\n}\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_MODAL = 'modal'\nconst CLASS_NAME_SHOW = 'show'\n\nconst HOVER_STATE_SHOW = 'show'\nconst HOVER_STATE_OUT = 'out'\n\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner'\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`\n\nconst EVENT_MODAL_HIDE = 'hide.bs.modal'\n\nconst TRIGGER_HOVER = 'hover'\nconst TRIGGER_FOCUS = 'focus'\nconst TRIGGER_CLICK = 'click'\nconst TRIGGER_MANUAL = 'manual'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Tooltip extends BaseComponent {\n constructor(element, config) {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)')\n }\n\n super(element)\n\n // private\n this._isEnabled = true\n this._timeout = 0\n this._hoverState = ''\n this._activeTrigger = {}\n this._popper = null\n\n // Protected\n this._config = this._getConfig(config)\n this.tip = null\n\n this._setListeners()\n }\n\n // Getters\n\n static get Default() {\n return Default\n }\n\n static get NAME() {\n return NAME\n }\n\n static get Event() {\n return Event\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n // Public\n\n enable() {\n this._isEnabled = true\n }\n\n disable() {\n this._isEnabled = false\n }\n\n toggleEnabled() {\n this._isEnabled = !this._isEnabled\n }\n\n toggle(event) {\n if (!this._isEnabled) {\n return\n }\n\n if (event) {\n const context = this._initializeOnDelegatedTarget(event)\n\n context._activeTrigger.click = !context._activeTrigger.click\n\n if (context._isWithActiveTrigger()) {\n context._enter(null, context)\n } else {\n context._leave(null, context)\n }\n } else {\n if (this.getTipElement().classList.contains(CLASS_NAME_SHOW)) {\n this._leave(null, this)\n return\n }\n\n this._enter(null, this)\n }\n }\n\n dispose() {\n clearTimeout(this._timeout)\n\n EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n\n if (this.tip) {\n this.tip.remove()\n }\n\n this._disposePopper()\n super.dispose()\n }\n\n show() {\n if (this._element.style.display === 'none') {\n throw new Error('Please use show on visible elements')\n }\n\n if (!(this.isWithContent() && this._isEnabled)) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, this.constructor.Event.SHOW)\n const shadowRoot = findShadowRoot(this._element)\n const isInTheDom = shadowRoot === null ?\n this._element.ownerDocument.documentElement.contains(this._element) :\n shadowRoot.contains(this._element)\n\n if (showEvent.defaultPrevented || !isInTheDom) {\n return\n }\n\n // A trick to recreate a tooltip in case a new title is given by using the NOT documented `data-bs-original-title`\n // This will be removed later in favor of a `setContent` method\n if (this.constructor.NAME === 'tooltip' && this.tip && this.getTitle() !== this.tip.querySelector(SELECTOR_TOOLTIP_INNER).innerHTML) {\n this._disposePopper()\n this.tip.remove()\n this.tip = null\n }\n\n const tip = this.getTipElement()\n const tipId = getUID(this.constructor.NAME)\n\n tip.setAttribute('id', tipId)\n this._element.setAttribute('aria-describedby', tipId)\n\n if (this._config.animation) {\n tip.classList.add(CLASS_NAME_FADE)\n }\n\n const placement = typeof this._config.placement === 'function' ?\n this._config.placement.call(this, tip, this._element) :\n this._config.placement\n\n const attachment = this._getAttachment(placement)\n this._addAttachmentClass(attachment)\n\n const { container } = this._config\n Data.set(tip, this.constructor.DATA_KEY, this)\n\n if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n container.append(tip)\n EventHandler.trigger(this._element, this.constructor.Event.INSERTED)\n }\n\n if (this._popper) {\n this._popper.update()\n } else {\n this._popper = Popper.createPopper(this._element, tip, this._getPopperConfig(attachment))\n }\n\n tip.classList.add(CLASS_NAME_SHOW)\n\n const customClass = this._resolvePossibleFunction(this._config.customClass)\n if (customClass) {\n tip.classList.add(...customClass.split(' '))\n }\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement) {\n [].concat(...document.body.children).forEach(element => {\n EventHandler.on(element, 'mouseover', noop)\n })\n }\n\n const complete = () => {\n const prevHoverState = this._hoverState\n\n this._hoverState = null\n EventHandler.trigger(this._element, this.constructor.Event.SHOWN)\n\n if (prevHoverState === HOVER_STATE_OUT) {\n this._leave(null, this)\n }\n }\n\n const isAnimated = this.tip.classList.contains(CLASS_NAME_FADE)\n this._queueCallback(complete, this.tip, isAnimated)\n }\n\n hide() {\n if (!this._popper) {\n return\n }\n\n const tip = this.getTipElement()\n const complete = () => {\n if (this._isWithActiveTrigger()) {\n return\n }\n\n if (this._hoverState !== HOVER_STATE_SHOW) {\n tip.remove()\n }\n\n this._cleanTipClass()\n this._element.removeAttribute('aria-describedby')\n EventHandler.trigger(this._element, this.constructor.Event.HIDDEN)\n\n this._disposePopper()\n }\n\n const hideEvent = EventHandler.trigger(this._element, this.constructor.Event.HIDE)\n if (hideEvent.defaultPrevented) {\n return\n }\n\n tip.classList.remove(CLASS_NAME_SHOW)\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n [].concat(...document.body.children)\n .forEach(element => EventHandler.off(element, 'mouseover', noop))\n }\n\n this._activeTrigger[TRIGGER_CLICK] = false\n this._activeTrigger[TRIGGER_FOCUS] = false\n this._activeTrigger[TRIGGER_HOVER] = false\n\n const isAnimated = this.tip.classList.contains(CLASS_NAME_FADE)\n this._queueCallback(complete, this.tip, isAnimated)\n this._hoverState = ''\n }\n\n update() {\n if (this._popper !== null) {\n this._popper.update()\n }\n }\n\n // Protected\n\n isWithContent() {\n return Boolean(this.getTitle())\n }\n\n getTipElement() {\n if (this.tip) {\n return this.tip\n }\n\n const element = document.createElement('div')\n element.innerHTML = this._config.template\n\n const tip = element.children[0]\n this.setContent(tip)\n tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n\n this.tip = tip\n return this.tip\n }\n\n setContent(tip) {\n this._sanitizeAndSetContent(tip, this.getTitle(), SELECTOR_TOOLTIP_INNER)\n }\n\n _sanitizeAndSetContent(template, content, selector) {\n const templateElement = SelectorEngine.findOne(selector, template)\n\n if (!content && templateElement) {\n templateElement.remove()\n return\n }\n\n // we use append for html objects to maintain js events\n this.setElementContent(templateElement, content)\n }\n\n setElementContent(element, content) {\n if (element === null) {\n return\n }\n\n if (isElement(content)) {\n content = getElement(content)\n\n // content is a DOM node or a jQuery\n if (this._config.html) {\n if (content.parentNode !== element) {\n element.innerHTML = ''\n element.append(content)\n }\n } else {\n element.textContent = content.textContent\n }\n\n return\n }\n\n if (this._config.html) {\n if (this._config.sanitize) {\n content = sanitizeHtml(content, this._config.allowList, this._config.sanitizeFn)\n }\n\n element.innerHTML = content\n } else {\n element.textContent = content\n }\n }\n\n getTitle() {\n const title = this._element.getAttribute('data-bs-original-title') || this._config.title\n\n return this._resolvePossibleFunction(title)\n }\n\n updateAttachment(attachment) {\n if (attachment === 'right') {\n return 'end'\n }\n\n if (attachment === 'left') {\n return 'start'\n }\n\n return attachment\n }\n\n // Private\n\n _initializeOnDelegatedTarget(event, context) {\n return context || this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig())\n }\n\n _getOffset() {\n const { offset } = this._config\n\n if (typeof offset === 'string') {\n return offset.split(',').map(val => Number.parseInt(val, 10))\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element)\n }\n\n return offset\n }\n\n _resolvePossibleFunction(content) {\n return typeof content === 'function' ? content.call(this._element) : content\n }\n\n _getPopperConfig(attachment) {\n const defaultBsPopperConfig = {\n placement: attachment,\n modifiers: [\n {\n name: 'flip',\n options: {\n fallbackPlacements: this._config.fallbackPlacements\n }\n },\n {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n },\n {\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n },\n {\n name: 'arrow',\n options: {\n element: `.${this.constructor.NAME}-arrow`\n }\n },\n {\n name: 'onChange',\n enabled: true,\n phase: 'afterWrite',\n fn: data => this._handlePopperPlacementChange(data)\n }\n ],\n onFirstUpdate: data => {\n if (data.options.placement !== data.placement) {\n this._handlePopperPlacementChange(data)\n }\n }\n }\n\n return {\n ...defaultBsPopperConfig,\n ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n }\n }\n\n _addAttachmentClass(attachment) {\n this.getTipElement().classList.add(`${this._getBasicClassPrefix()}-${this.updateAttachment(attachment)}`)\n }\n\n _getAttachment(placement) {\n return AttachmentMap[placement.toUpperCase()]\n }\n\n _setListeners() {\n const triggers = this._config.trigger.split(' ')\n\n triggers.forEach(trigger => {\n if (trigger === 'click') {\n EventHandler.on(this._element, this.constructor.Event.CLICK, this._config.selector, event => this.toggle(event))\n } else if (trigger !== TRIGGER_MANUAL) {\n const eventIn = trigger === TRIGGER_HOVER ?\n this.constructor.Event.MOUSEENTER :\n this.constructor.Event.FOCUSIN\n const eventOut = trigger === TRIGGER_HOVER ?\n this.constructor.Event.MOUSELEAVE :\n this.constructor.Event.FOCUSOUT\n\n EventHandler.on(this._element, eventIn, this._config.selector, event => this._enter(event))\n EventHandler.on(this._element, eventOut, this._config.selector, event => this._leave(event))\n }\n })\n\n this._hideModalHandler = () => {\n if (this._element) {\n this.hide()\n }\n }\n\n EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n\n if (this._config.selector) {\n this._config = {\n ...this._config,\n trigger: 'manual',\n selector: ''\n }\n } else {\n this._fixTitle()\n }\n }\n\n _fixTitle() {\n const title = this._element.getAttribute('title')\n const originalTitleType = typeof this._element.getAttribute('data-bs-original-title')\n\n if (title || originalTitleType !== 'string') {\n this._element.setAttribute('data-bs-original-title', title || '')\n if (title && !this._element.getAttribute('aria-label') && !this._element.textContent) {\n this._element.setAttribute('aria-label', title)\n }\n\n this._element.setAttribute('title', '')\n }\n }\n\n _enter(event, context) {\n context = this._initializeOnDelegatedTarget(event, context)\n\n if (event) {\n context._activeTrigger[\n event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER\n ] = true\n }\n\n if (context.getTipElement().classList.contains(CLASS_NAME_SHOW) || context._hoverState === HOVER_STATE_SHOW) {\n context._hoverState = HOVER_STATE_SHOW\n return\n }\n\n clearTimeout(context._timeout)\n\n context._hoverState = HOVER_STATE_SHOW\n\n if (!context._config.delay || !context._config.delay.show) {\n context.show()\n return\n }\n\n context._timeout = setTimeout(() => {\n if (context._hoverState === HOVER_STATE_SHOW) {\n context.show()\n }\n }, context._config.delay.show)\n }\n\n _leave(event, context) {\n context = this._initializeOnDelegatedTarget(event, context)\n\n if (event) {\n context._activeTrigger[\n event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER\n ] = context._element.contains(event.relatedTarget)\n }\n\n if (context._isWithActiveTrigger()) {\n return\n }\n\n clearTimeout(context._timeout)\n\n context._hoverState = HOVER_STATE_OUT\n\n if (!context._config.delay || !context._config.delay.hide) {\n context.hide()\n return\n }\n\n context._timeout = setTimeout(() => {\n if (context._hoverState === HOVER_STATE_OUT) {\n context.hide()\n }\n }, context._config.delay.hide)\n }\n\n _isWithActiveTrigger() {\n for (const trigger in this._activeTrigger) {\n if (this._activeTrigger[trigger]) {\n return true\n }\n }\n\n return false\n }\n\n _getConfig(config) {\n const dataAttributes = Manipulator.getDataAttributes(this._element)\n\n Object.keys(dataAttributes).forEach(dataAttr => {\n if (DISALLOWED_ATTRIBUTES.has(dataAttr)) {\n delete dataAttributes[dataAttr]\n }\n })\n\n config = {\n ...this.constructor.Default,\n ...dataAttributes,\n ...(typeof config === 'object' && config ? config : {})\n }\n\n config.container = config.container === false ? document.body : getElement(config.container)\n\n if (typeof config.delay === 'number') {\n config.delay = {\n show: config.delay,\n hide: config.delay\n }\n }\n\n if (typeof config.title === 'number') {\n config.title = config.title.toString()\n }\n\n if (typeof config.content === 'number') {\n config.content = config.content.toString()\n }\n\n typeCheckConfig(NAME, config, this.constructor.DefaultType)\n\n if (config.sanitize) {\n config.template = sanitizeHtml(config.template, config.allowList, config.sanitizeFn)\n }\n\n return config\n }\n\n _getDelegateConfig() {\n const config = {}\n\n for (const key in this._config) {\n if (this.constructor.Default[key] !== this._config[key]) {\n config[key] = this._config[key]\n }\n }\n\n // In the future can be replaced with:\n // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n // `Object.fromEntries(keysWithDifferentValues)`\n return config\n }\n\n _cleanTipClass() {\n const tip = this.getTipElement()\n const basicClassPrefixRegex = new RegExp(`(^|\\\\s)${this._getBasicClassPrefix()}\\\\S+`, 'g')\n const tabClass = tip.getAttribute('class').match(basicClassPrefixRegex)\n if (tabClass !== null && tabClass.length > 0) {\n tabClass.map(token => token.trim())\n .forEach(tClass => tip.classList.remove(tClass))\n }\n }\n\n _getBasicClassPrefix() {\n return CLASS_PREFIX\n }\n\n _handlePopperPlacementChange(popperData) {\n const { state } = popperData\n\n if (!state) {\n return\n }\n\n this.tip = state.elements.popper\n this._cleanTipClass()\n this._addAttachmentClass(this._getAttachment(state.placement))\n }\n\n _disposePopper() {\n if (this._popper) {\n this._popper.destroy()\n this._popper = null\n }\n }\n\n // Static\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Tooltip.getOrCreateInstance(this, config)\n\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n }\n })\n }\n}\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Tooltip to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Tooltip)\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin } from './util/index'\nimport Tooltip from './tooltip'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'popover'\nconst DATA_KEY = 'bs.popover'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst CLASS_PREFIX = 'bs-popover'\n\nconst Default = {\n ...Tooltip.Default,\n placement: 'right',\n offset: [0, 8],\n trigger: 'click',\n content: '',\n template: '
' +\n '
' +\n '

' +\n '
' +\n '
'\n}\n\nconst DefaultType = {\n ...Tooltip.DefaultType,\n content: '(string|element|function)'\n}\n\nconst Event = {\n HIDE: `hide${EVENT_KEY}`,\n HIDDEN: `hidden${EVENT_KEY}`,\n SHOW: `show${EVENT_KEY}`,\n SHOWN: `shown${EVENT_KEY}`,\n INSERTED: `inserted${EVENT_KEY}`,\n CLICK: `click${EVENT_KEY}`,\n FOCUSIN: `focusin${EVENT_KEY}`,\n FOCUSOUT: `focusout${EVENT_KEY}`,\n MOUSEENTER: `mouseenter${EVENT_KEY}`,\n MOUSELEAVE: `mouseleave${EVENT_KEY}`\n}\n\nconst SELECTOR_TITLE = '.popover-header'\nconst SELECTOR_CONTENT = '.popover-body'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass Popover extends Tooltip {\n // Getters\n\n static get Default() {\n return Default\n }\n\n static get NAME() {\n return NAME\n }\n\n static get Event() {\n return Event\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n // Overrides\n\n isWithContent() {\n return this.getTitle() || this._getContent()\n }\n\n setContent(tip) {\n this._sanitizeAndSetContent(tip, this.getTitle(), SELECTOR_TITLE)\n this._sanitizeAndSetContent(tip, this._getContent(), SELECTOR_CONTENT)\n }\n\n // Private\n\n _getContent() {\n return this._resolvePossibleFunction(this._config.content)\n }\n\n _getBasicClassPrefix() {\n return CLASS_PREFIX\n }\n\n // Static\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Popover.getOrCreateInstance(this, config)\n\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n }\n })\n }\n}\n\n/**\n * ------------------------------------------------------------------------\n * jQuery\n * ------------------------------------------------------------------------\n * add .Popover to jQuery only if jQuery is present\n */\n\ndefineJQueryPlugin(Popover)\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.1.3): scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n defineJQueryPlugin,\n getElement,\n getSelectorFromElement,\n typeCheckConfig\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * ------------------------------------------------------------------------\n * Constants\n * ------------------------------------------------------------------------\n */\n\nconst NAME = 'scrollspy'\nconst DATA_KEY = 'bs.scrollspy'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst Default = {\n offset: 10,\n method: 'auto',\n target: ''\n}\n\nconst DefaultType = {\n offset: 'number',\n method: 'string',\n target: '(string|element)'\n}\n\nconst EVENT_ACTIVATE = `activate${EVENT_KEY}`\nconst EVENT_SCROLL = `scroll${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item'\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_NAV_LINKS = '.nav-link'\nconst SELECTOR_NAV_ITEMS = '.nav-item'\nconst SELECTOR_LIST_ITEMS = '.list-group-item'\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}, .${CLASS_NAME_DROPDOWN_ITEM}`\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\n\nconst METHOD_OFFSET = 'offset'\nconst METHOD_POSITION = 'position'\n\n/**\n * ------------------------------------------------------------------------\n * Class Definition\n * ------------------------------------------------------------------------\n */\n\nclass ScrollSpy extends BaseComponent {\n constructor(element, config) {\n super(element)\n this._scrollElement = this._element.tagName === 'BODY' ? window : this._element\n this._config = this._getConfig(config)\n this._offsets = []\n this._targets = []\n this._activeTarget = null\n this._scrollHeight = 0\n\n EventHandler.on(this._scrollElement, EVENT_SCROLL, () => this._process())\n\n this.refresh()\n this._process()\n }\n\n // Getters\n\n static get Default() {\n return Default\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n\n refresh() {\n const autoMethod = this._scrollElement === this._scrollElement.window ?\n METHOD_OFFSET :\n METHOD_POSITION\n\n const offsetMethod = this._config.method === 'auto' ?\n autoMethod :\n this._config.method\n\n const offsetBase = offsetMethod === METHOD_POSITION ?\n this._getScrollTop() :\n 0\n\n this._offsets = []\n this._targets = []\n this._scrollHeight = this._getScrollHeight()\n\n const targets = SelectorEngine.find(SELECTOR_LINK_ITEMS, this._config.target)\n\n targets.map(element => {\n const targetSelector = getSelectorFromElement(element)\n const target = targetSelector ? SelectorEngine.findOne(targetSelector) : null\n\n if (target) {\n const targetBCR = target.getBoundingClientRect()\n if (targetBCR.width || targetBCR.height) {\n return [\n Manipulator[offsetMethod](target).top + offsetBase,\n targetSelector\n ]\n }\n }\n\n return null\n })\n .filter(item => item)\n .sort((a, b) => a[0] - b[0])\n .forEach(item => {\n this._offsets.push(item[0])\n this._targets.push(item[1])\n })\n }\n\n dispose() {\n EventHandler.off(this._scrollElement, EVENT_KEY)\n super.dispose()\n }\n\n // Private\n\n _getConfig(config) {\n config = {\n ...Default,\n ...Manipulator.getDataAttributes(this._element),\n ...(typeof config === 'object' && config ? config : {})\n }\n\n config.target = getElement(config.target) || document.documentElement\n\n typeCheckConfig(NAME, config, DefaultType)\n\n return config\n }\n\n _getScrollTop() {\n return this._scrollElement === window ?\n this._scrollElement.pageYOffset :\n this._scrollElement.scrollTop\n }\n\n _getScrollHeight() {\n return this._scrollElement.scrollHeight || Math.max(\n document.body.scrollHeight,\n document.documentElement.scrollHeight\n )\n }\n\n _getOffsetHeight() {\n return this._scrollElement === window ?\n window.innerHeight :\n this._scrollElement.getBoundingClientRect().height\n }\n\n _process() {\n const scrollTop = this._getScrollTop() + this._config.offset\n const scrollHeight = this._getScrollHeight()\n const maxScroll = this._config.offset + scrollHeight - this._getOffsetHeight()\n\n if (this._scrollHeight !== scrollHeight) {\n this.refresh()\n }\n\n if (scrollTop >= maxScroll) {\n const target = this._targets[this._targets.length - 1]\n\n if (this._activeTarget !== target) {\n this._activate(target)\n }\n\n return\n }\n\n if (this._activeTarget && scrollTop < this._offsets[0] && this._offsets[0] > 0) {\n this._activeTarget = null\n this._clear()\n return\n }\n\n for (let i = this._offsets.length; i--;) {\n const isActiveTarget = this._activeTarget !== this._targets[i] &&\n scrollTop >= this._offsets[i] &&\n (typeof this._offsets[i + 1] === 'undefined' || scrollTop < this._offsets[i + 1])\n\n if (isActiveTarget) {\n this._activate(this._targets[i])\n }\n }\n }\n\n _activate(target) {\n this._activeTarget = target\n\n this._clear()\n\n const queries = SELECTOR_LINK_ITEMS.split(',')\n .map(selector => `${selector}[data-bs-target=\"${target}\"],${selector}[href=\"${target}\"]`)\n\n const link = SelectorEngine.findOne(queries.join(','), this._config.target)\n\n link.classList.add(CLASS_NAME_ACTIVE)\n if (link.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE, link.closest(SELECTOR_DROPDOWN))\n .classList.add(CLASS_NAME_ACTIVE)\n } else {\n SelectorEngine.parents(link, SELECTOR_NAV_LIST_GROUP)\n .forEach(listGroup => {\n // Set triggered links parents as active\n // With both