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FgUKvV5J/UGQCPx1u/fn1eXh6tRPvgwYPP5F3hRj4DfOjoGjowGo1GoxFaeEPDwuAzMhcFs0V9U4xQKGRu4QPjXBLQRYymkalUKrLcCwAm2lqdNtqs/lShMBUVFU2Q0LY6bXR1GvDTLLVAGjtIxDSrg9p91mazo+hTpCLU2Nj49NNPoyiKoiiGYSiKZmdnazQaHMdLS0vhe9LS0m7dukUyL1mdAQDo6elJTU1taGiAHyS/RSwW1zfZpk0bqomRgKZwp0SxWEyrqJbJZEEOjWdX/urVe6NGbiQxoKffsecPV3Act9lsKSkpMFCCcZbZbO7r64N3UdizJz09XfQAtJCKIIgPPvhgbQa+IJZtvAmXwjo6OlY99t3A/qiampofv5gQqK3hOP4VFrcmwxm0k5KSGPXm708UFxer1Wr9KcXnn59cuWodpFS9Xp+WliYWizEM69A0dV24JBaLIyIiAAAikchgMNy+fZvH423ZsgUqmDiOZy5d9y/TrOgls3EcJwgiKem+Lyifz79582Zb28nHVi6c0oGq9kIsjuMT4UqD43h6xhPT5mIvLi4eGYtpVt9cHHeX99DXHAVPMq4OhX+hufH+f/bBC9hut5tMpkWLFo2NjcHreeHChSTbQnjalFKp7NR9sm3TGHv+hVgcdzc9OUypVI2MxQTKCVutVktW3AtgAlZKYtQ777VvLVoSzLNz1hhpNpuXxnVkP8aPiFp40USQvGmz2VJTUx999NGByzefLRhsbLmakZEBX01MTIyIiFi3bl1SUlJxcTGKoosXLwZRd6OXzB65fG+46+5o9LBOp3M6nUKhMCIiQiwWh8152NXLbQphzuzRK9f48xYsP6y67LPcxHAWAh4fTC6EQmFWVtbn/xyCzqjeXrDegsuIYFIeDhyxbS57e9u2bfAZvV5fWFhIxrnsN1VZWblBcsGfzMQCaSw1lcJPGAyGgC80FRYWBjnv5/WdUX/4wx8gM+ZI5pDFxxtzY1/fGQUjXHhTjAo7R2pEAoEgKyuLerMsLS2FdkXRS2bH58yF2+no6FAoFGazGQCQlZVFFkxPRaQkRu0oGb5r/5JlH2uv4PPqdIijpKRkc9nbp84hZDsxLgoOHjoNke26O6se+y7M9o+OjrZYLDdv3iwqKiopKfFqUwcPHuzpOpgjCff/XhqQGR+ctq8Sjwb83n7WGIkgSHSEdaKjBipSU1OWJNzvV7Q6bTR5aWTZ0/GQlDsNkRkZGUajMSnheu/AqGB+utu7JpSPIM86nU4oN5lb7QCAufNmWSyW27dvC4VCFEWPfXo2PTls6o7qlMSoljbryFhMAH9Fs9qanvFEXFzcdKUCmCczoXMgLgqmo6KqD9oOkElOOI5v27attrb2lVde8WpTSqXymbwrBdLYgJy/Ammsp0oKNjCbzTKZDDqsT8R4ihf06/V69u4/AQFtWk39XTRRqK6uzm0hjEgkIgPkNWvWyOVyPp8fnzM3OVuEoqjdbtfpdI2NjSKRaEqvO5EI4K/oNEQOEomTbhAcBBaeUCt6joK/GU9HWpzHdcv37dtHc9F1Op2+JSSQeWkBQU+/g7lhBPPNoPUfH71bnTRxia4F0tgXn02PjgiJCfve/Q6n0ymTyVAUrajqK5DGvluddKX/n2w+m5eXJ5FIYNXGyOV74IFFJ4/Hm/QKFP8RwMaavQOOoqKimUAOeXl5zWpru+4OR8ETBZjZmvfk867NezQazZo1a3ygPJlMdvLkyQDuZO/AKJlfBb7dSWjcnfFTiWaJ1Wmjj69NCoWziSDIXfuX71Yn6fV6snjPeecKLWvQLaBYDMkFdmWG6rDdbp+sxjyhiZi4FaFclBxAiMXizWVv/+vrjIlY7ZjpecGwfU5e3jNu51OnT5/2dgUDWjuuzcAntOGxVquNF/R/9MGbI2OxeXl5DJNBs9l8x9buZ+bvlANprTk8dB5FUfzKEgC863wqEomKioqMRqPJZIKpxCOX70Uvmd3Szlscd9fnyQQ0DgUAJC+N9EoOYmPdyQaZmZl79+v8rKO5OhR+4Ihtz57iGTWoSktLS0tLj7cceGiuNYCzyZkeBfcOjMrlck8U1tHRQQ08x4VGo/ln27vM1jaBwiCRuGVj2I6S4fO6v5Br9678W11dHbI2fRMniZA/OXlplEqlmjXXl2w5kUiUn59PqlIjl++df2vk2o3ws8ZIn1fJz3RdFyVvFiVvPnUOqajqY69swGZ6AREi/M+L+O2fTHv27JmZjLFh4wuw00qgMKMLlJvV1hWSH3ri38bGxocfSsl8cjnLyT6GYT50EmKP47rl1E50CoWCtJHsNET2DjioKy1Q8hseOh+yHn1BQ0VV365duw4dOrRKPNrSZnV1MzCbzcw53QRBtLa2QuYauXwvOVuE43jy0sh1q656O99KSEigJtUcPHjQZrMx2IFC7N3vAAAEpAT8uG45iqKak3/0baDCPpiwHHwmD6r9+/dnpDoCEgvPXApm9hbRarU6nY5Nd0uNRnPs2LEgOCTUN8XQ9sf/Jp4z5ERDQ3eNRuPJ4g56FY17oqEigaIobMYMAFglHqXFRDTzORIMvVxhg1QURd1WQkNnEqFQuEFywf+jsXe/o7Cw8Nq1az5sraKqb0Kto6YWZDJZQMTGGUrBzPEvAODixYtkRzIGnDhxYvjqp4+tXBgEq+923Z1YpIB6AXAmMl5RsKc3mM1mu93+7eYjHt8J+4SOXL7H4/Gc8x2wZdT69evJqFAsFvsQIcKEOVgeTfM+7h1wlO14Ta/Xw+47/g+2ZrX1KyyOz+d7ZVF/pMX56MonOP6l3jgjQaf/1YYzkYLH7XOl0Wigw47bV6mpCBOqPLCJ3AN1K56xFAxdOhEEKSwsZGkDTQ2H4QPYGMkfF2n2qKysxPEALPZWVPUhCMJm9gbTAFAUZTMpnFGAg8fPczETKdhTkxsy0tHpdG5X4UiDR/KZIPvJNqutS1K3UiMRrVZrxZsDXvg/bdDT77g912OLKbhcSf65b98+lgEshmGtra2wGQeCIDAWTk1NnSBnUdfdPnTo0DLhEByKvg3CvfsdmzZtunr1KgyuaRgkEskMYpiTxyyXBxYYhlksFvYRt1qtJnvXzuHn8Pl8Ho/n23TEBxbu7vrMnxWXmUjBtHUt1/HtGjHBa/XFZ9Mn3cPbVRFWKBScmyL7w0U7dFTpVq/Xs+/+AJ2/ySiYTDOYOGdRt/v/6quvHjn4Cx+mYvVNMdeuXXvjjTdC8KzBiaZer2dYrYGzAQRB9uzZQ1sUgeo5PDXMGlSg7og+L2/ORApmXoVrbGyUSCS0c2Y0GjVfHg2R1IJmtTV7/U+oe6jVai+bDnPrcm4DvW3btnkSeaGO/8caTWpqKlxe+0K1pVltvToUPmvuwywn3adPn4asDTvRxefMBQBIJJLghGDk+DQajdQQ0q0+RibADRKJfD5fLBaHrLALKRXmkLieCDjgoSYO86ztdpsnlz6YwkF2RZm4U9Da2hodYU1eGuVtlDazKBjeHj1dXbDtOfkqlPz0+pDobkIbUlwg7P/ttrKyEiqhFVV9tFMM037ZS5/k8sD5t0ZWvBZNzt+Dow57EljgpI0s6CovL4cPJmuvWAIWc5IngpymlJeXwz33YbQ3q62i5M0T/cPhYfdWGp5ZFOyqpdIiGliLTCb5elvCNFkU7OdUaFrCNYGEBuaVzJ5+R+/AqMOZkZubO+5MliAIo9FoMBjsdvvI5Xvrn8mGzqJSqZRNooUrYL4wAEAoFObm5voWUEOFlEFzmyzAMHZkLGZkLNY1PvWU59Ostobz1pWUlPxDuceHxY9mtXVkLCYmbsWEHhCFQrFKPOpVIDyDKPjqUHhXf6pbt0mYe8/n800mU3SENZTLGTxFwd6e+GkPWk8zrVaLXdLcG7sMr3yhUIggiE6nG7csgrx0MzMzmT1uIBFD8uXxeH0tN6Eu4RUREwSxa9cu6r0BnvG0tDSpVDo9Tg2VZOGtjswQZV5e7ul3vHcA93NWeqTFOTIWO3HVJR998KZXBDKDCpTPdF3PzMz0JOUgCGIymXaUDE/RcjKOf2mgWonDQpsn19oKpLGwqnuD5EJNTY1erz91bhzzOfiRDZILSuU4kQr094F3R7vdHp8zF3r9qNVqTxXkrmhoaKDF5gXS2B0lwxHOTplMxsZmKPQhFovJCu+UxKgCaex53V80Go1MJtPpdAwRbkCmpHAANDQ0BGHgscEMsmzvx+PXfGeDWwXnzPHugmee0Ol0oU9kvQOjI2OxtLy0u/Yvp25bnYlARVXfK6+8AttNAQBOfFq/bdOYK7cWSGPPdF0/8N/Y1aHwx5ZHMG8zOsL65RfN+nPXxsbGmMPhrKwsgiBu3LgBHd/hk6T7u9uJuVKp1Ol0l02HPbnpL467m7w0cqCvy2Aw8OcJQ78+WKFQqNXqdevWub4kFApramqokWxKYpRer//xiwnjXoAF0lg+n+9/V7foCOvfjxnIpoIBBOwSwEXB7n6qB68WDMNSvvPwFPohZIceCBzHORWYJh3U1taSJCWTyRhmNi9u5aMoKnxkTUVVX6eByX4FxmvP5F3R6XSVlZXjRsR6vb6npwcAgCAI1f3d7ft3lAzvKBlmdtOHO7A47m51dXVlZWXoR8TLhEOeXqqtraVZFLEfwwGpRIXNnCYiFkYQxCtPyxlBwT39jvqmmNzcXLchMOzWZzab4wX9U+Ln0BZ2h4fOc7RLhcOZQT42GAzj+tzvKBkmbl6sra0dC1sNnbk7DZFXh8IZ3v/CFv5HH7ypVCrduvKbzebTp/7+4rPpG3NjV4lHYcbbyOV7g+23cRw/ceIETZTIyspif9GuTht9tzrphS18c+9Rt31AQgHwakpeGnm0YfehQ4fcvicUzJfXZuBHG3ZTU/omITScCdfk0U+BXC53O3fDcVwkEmm12urqap97UgQTtIGr0WiiI7h0tPvoNETWN8VQSx9NJhObGtzoiGGNRiOVSqEz91lj5Kdf8hhocXHcXSgQuw2jqqurX9zKX502Cv/FC/pxHIe9QQfbb5tMJpVKRWNhFEW9asmxOO5ugTT2sumwTCYbV6QOMpRKJbRIhWF7hLPTbXuBAPbv8CcWhkr0JO7D9NeCm9XWNWufdnu+NRrN7OHohGXx2v/5+4+ejw6C1Y7/vyV73ea4uDiCIM6dO9fR0dH6f3/7b09m+C+NTQ+06+5s/Lfvkfdas9l82XSYjUp+7Ua41RYN8xbS0tKysrKysrIgLQ4MXAKeO5njOC6Y/yj5jVqtVq1WP5pIUL+0d2BUvDwfAGC322EbDnhvICULGAiPjMWcM0V1GiKZv9GVQYxG08kve6HFj8ViYUNtBoPh1KlTsKYDx/GlS5cG8Cy0trZSb3vwUJz88qv58+dTwyCxWPzqzz4KBQ0tJTFKqVTNjlgSkD6kQqFQpVKx/13TvGtGRVVfeXm52+RQs9lMzujvjV0O/b4SML0c5u7A4GtHyfAGST4AdwEHAIBLKx2VSrVKjAAw/hJrjmRORdUx0hhEJpPBwlYYUCsUivcOeKzQIb8RppPvKBmmjaUCaWxFVV1tbS3N3wemr5EVHNRRCr+RZUF8gTQWgOFOw6hOhwEAampqxv0I1aBn735HVFSUa9kCzUDDH5vK1Wmjq9OuVFRV08qFy8vLm9VHQ4GFC6Sxzeq/iMVvB/+rpzMF793v2LVrl6eUTIPBMIU6X1GLSrRa7aIFdzfm2DnOJeHaSgf2dlqdxvbyfrc6qfHIe8JHshMSEhAE0Zz8o+pBNi7MMzMajcd1RoIgbDYb7FI6Mhabl/cMSVh3bO07Stx83ZEWJyzSmzVrlslkQhBEr9eH3Yy6dvFW0sb5er0+LCwsISGBOhrhN6rV6k5DJ8ssHSh6AAB2lHhXnfX6zqhm9VFz71G3x4R8/LdWY8BrfLOzs40XToTIECqQxjYeea90y4/831RtbS377OBpS8HNauuePR7vaQqFoqioKCwsDFZtxgv6C6T5ofxbqO6a/vvjTT+c6bpOO906nc4tITLgybW2+iZdXV3dF9OkCWgAACAASURBVKotAEQBMNxp6JTJDpEh26JFi1AUFYlEUMmlkiZDZSqZKAr1DSiMOuc74nPmpqamQm+gjo4OV38fqVSq0TwUhDiRzfZhtR4blG9f4dZ9zfPBuRAio+je2GUGX3+vMDIWCwCrRZppS8GzIzy2CzObzXC4l5eXP7hsQpfRmtXWmMVPkZFdd9dnHP/S0GmIDOd9K/+0srLyhS18Hza1o2R4bUYhNbQkj3az+igAwHjhfnEdNcFGq9VuzPXIYrSsCYlEctl0mM/nfYUthIpw2M0o53yHSqVy9ffJzs6OiYmpb2qNjrDmSOZM4nIFn8/2eDqcqxqaztPKDnv6HeCB8B2yKJDGNquPzpo1y/94v6ysrOLbVY5UtLTzwiMfGR46vzju7vTMiKio6mOYUKhUqikkQRRIY0dGRmDkrtPpuF5wrnLTWWMkte4c+u/4zFaelu9gKQdZXLdr1y7yJebUbFoXjKysrEEi8bDqilwuh47DzvkOmOut0+laW1tpCb9isVgulz//0i8PHLGNm7w8cWDPngKBQC6XnzqHUHf10g0JNVk7lC83lUoVkMPlmvsMUd8U83Did4qLi59/6ZexSME09Ij4xym+8JFst/cx6AUBE4GNRuN53V+mRFHDkRZndMRwCHoGBRnQT2AOP4f6JNW6wWAwqNVqr/rx+AyqDdDbb7/9o+33PL3zgU79rZbDMplsY27sv75eyefzXVsaM7i/Q/OdO7b2IA/d+qYYb62Q1Wq1wWDg8/kCgcCtw4bZbG46+ucXt/JDbZhduiEJiJvP0YbdAACHM4N670EQhMpO00qIcGthQwVMwYEL362trd5qhZOFLRvDQj9hIwgUAEAMg9EozOwOQh9VCB6Pr9Pp4LW0TDjEcIIWx91FEESr1VIvPBRFC6TDzequY8esgFLxONh+Oz5nrslkMplMbn8sNOsxm9H6JhUAIAhmqp2GyNVpo6vEo9XV1Qzmn253lcFaKCBdfyYCKYlR7x1QBYSCmeloWlFws9o6h5+zJBXZzCjiEAQBnVPMZnN0hBUAblI/NdCuuwN1UrPZDGNGUjM1GAwmk+mOrT3IF/PiuLstbThBEGwm1ztKhj9SdlApODU1tVn9KRQ3AAD1Tfefh+UbSRvn2+32//zP/0xLS6Opw9ByiMzTgM/UN+kmoo1hpyESx/HBm3OG7NmPLNAhCIJhmP8lFdDgPF7QH5qrGrDAPSCbcuVfaKcHxzBs1TpNSjNuzy3Ky8tjHhxmszkuLg7OpHbt2rVLNp+jtqkCtXZBSUnJp59+WlNTY7FYbDbb0qVLITH98Y9/fL7YGnyJhvfQ119hC3NycgAA3V2fjbsDFgt+8stekoWTkpJsDoFer4cfhPlkz3zvxzqdLnrJ7AULFqSmpl66dMlisQwNDVETKy0WS2lp6fz58w8dOoQgiFAohMKaqW/kjzWnQYDsxCAT9VkW5j35fP4TT4vF4tOdNrlc/oMf/MB/Cj58+PCOkuGQVdV6B0bTM56YoI1/8MEHFovlmbwrSQnXYQnPlF+O6+l3VFT1MbSjJ0EmAjOvX3MIQcDLHoa6q8SjMDMMxhGrxJNjbtestkokEvj4rHH8JbICaWy8oL+pqYl8Jjs7e0nq1uO65R8pYzsNkXa7TavVlpWVwU50er1+5PI9+FihUJw+fRp+Kisry+l0pqamoija3fWZQqGAGRelpaW1tbVfYXGB+nUrJD+Uy+Wk+FtcXOx0OgOSGpyQkDBZi4os1YPAbhDDMIVCoVAojjbsXpuB01p+THkKPnUOYbPSqtFo5s2bBx9z1mLTBgKBgLY6FzTM4eeQfMTSXaRAGruQ30f11snKyiouLk5ISFidNmqz2WtqagiCKC0thXJZ9JLZsEMlAKCjo4P6we3bt8vl8pGx2B0lw21tbeTzvjXpcNUfBolENmGNbygpKfnw44uhOaLqm2LIO2ugoFQqGZzwprYQ0ay2PrryiXFnRmazeWRkhLxgvDX05DDp0J8bfO/PH23MjV0QO6d3YFQwP52MzsRi8a9/91ny0qhgGmUcaXFu/LfvRUREQKvftRk4G0sHAMDiuLvHPj0bNltAHbRms/md974Im/PwmgynyWRcsDBRJBIhCGK3220227WLt+bOm8Xj8QYGBjAMS0hIIC1uExIS/lt5KV7Q94/Wi3B483i8d9//p1d9fXr6Hac77b0Do70Do139qdiNh2dHPLJ161Zy3/bv33/gwAG1Wn3q1Klbt27xeDz/c8sQBDGZjEsSZofaSDtrjExISAighZDZbB6++imD6jKFk9I8NVh1RWNjI1n+Dzw3p+Iwhc47mbYFGyEHc1oDi8XFYnFDQ8O4fY88beHqUDhMDqU+r9VqVSpVYWEhtUDrxIkTJpOJx+Ndu3gLuvwgCJKXl0fyYFNTU0dHR2ZmJkyONpvNDfVv/fjFhHH3YZBIFAqFYrGYFvCazWadTmez2ex2O3TapFIngiAJCQmZmZl+JteH5mXI3PLVh98YFXaOeXBOYQqub4phw78KhYLWIpDrNzwN0Ky2trRZAQDB729dUdVXVVWlUqn8HEXsr3bS34cKcvDDzt+0Z5hb+cKj5/rt5KaoqKurgzlzdXV1f/7zn8nn/e8Mz9xBdVIGFdUJwM/gt7q6ms3gnMIU/LfWh6nOsG5BNkWm4mjDbk4L5uAPdT7++OMZST3+rOm36+6koy+xDyQJgmhqaoIdmkcu34ONQVNTU8ViMfSs0Ov11JjabDa3tbXZbDayEQFcZYKFEtTIF6ZJYRhGqxCBK4GD7beH4wdgFR+CILO/WgC/mnxPWlqaPwL0/3n9xcdWLnxs5cJQsIqltXz1B7BEk807p2pecH1TjEQy/nJBR0eHKwVz4OAnDJ31m/P98nUaBavd8i9NNCMhEAiee+45hUIRvWR29JLZkB9hBQcsWqNtjXTaZI7UMAyjxdcoip49fOneshuQkeNz5q5C1n/DzghAUZRUJ+CDW7du+WxtU7L51aysrMrKSgRBJn1u2jsQsOwaBEFY2vRM1eW4Dz++uHPnTub3aLVaUVRywrJ42vNssjg5cPCEljbri8+ms1x/c8XVofD3PhopKiqiLWqZzeZ33nknXtDf3fXZtRvhiYluUqNgRhqO43a7Ha7XgQfu73w+n2UnSrPZrNVqoeU/ya0JCQk8Hq+v5Wb0ktnEnEEYYicmJmZmZq5ZswZmZdy4cQPSLvxeHo8Hm5PiOG4wGBYsWODDMh1c+IJFdO26OwMDlwLSndO38xK7aJ3bw+4D2PcCnrZOaXBJgY1YzIGDV0BRNCXR93jtTNf1wsLN1DV3hUIBQ9F3q5MAiAIAdBo6FQqD29G7Zs2aNWvWNDY2QvYk3d/ZjHaNRkNbXgMAnH9rZMVr0RaLBca8OI6TLvLUmFokEvF4PGrIzOfzIRcDAOx2u0qlQhDEbQjPBtDJE07hV4lHgy8Vnum6vrlMGvzhNG0pmONfDhMEP+fLsyOWZGdnYxhmsVggba3NwGk+6zCAUqvVnjwWSktLtVqtwWCgur8rFIrMzEya+zvsZmQwGKjMy+Px+Hx+r8YcvWT2itei4TNpaWl8Pp9B2M3OzoaNFkkVAgAQdjNq8fIY8hmFQiGVSv1Rh/fs2XPw4EEAgp0sMTIWMynDaUqWZnQaImmN3F3v9gHPr+bAISBDV/hINgBAqVTqdLrXd0Z5KtVdnTZqMBiYw8bnnnsOUNzfAQAdHR3U3qAajaa1tVWtVpP8W1RUdP6tEZhtRqa4yeXy5557rqamZt++fTKZDH7cbDbLZDJX3aC0tJR6cTnnO2iVKWq12m2/TvbIzc2tqOrzqp9pICh4cpbop6QWfKbret6Tz3sSngwGw+rVqxlkKU4L5jCJQzdtxQaBQKDT6caNpnsHHKse++6483eoDttsttu3b49cvjd33qxPPvnk1KlTWq325s2bZDIDAMDcar8Vfi1mDQAPLBMLCgrCwsIOHz7c3fXZLtl8aBvU1nby5Je9s2bNmjNnzqFDh/r7+3U6HY7jZBKFUChEEAQmDsPgF34v/J+8DH1ThwEAAoGguLgYvz7r/PnzwZGGOw2RsyOWBKS2kCSZ9ORp3biIIZvHYDAE8FBy4BBAzOHnwKErkUjqm8Zh4egIVooHqQ7DlLVf7P1xeXk5JEcURQfbbwMAQM799Aa73U6Tes/r/rKjJJbqGvigH2inXn8RRdF4QX9LmxXHcZVKhaIo/DiZgwEDXhhQk/2hwQN1GLhzC2OJ/Px8APIDnsXfaYj88OOLtIzds8ZIiSQhgN8SHTHM0mB26uUFN6ut8xMKPGlkjY2NEomEgaBDLRucwwzRH3oHHDFxKzIzM6HnuslkSk1NHZdc2JdvwPRelUpFW20Tx62CzAiTiAUCARmZarXay6bDzAtfzWrrj39xsLCwELpV/OgFpHdgdGQs5tGVT8DVM9gGgVZBBx4oxQAAHo8nlUp9LqXDMEypVAbEhr9dd+crbCFsyWo0Gt955x1IBS3tvIcTv+O/AxFBENCvA8OwxIX6x9ey4pmpR8GwNsntGYV5jswpihwFcwg+/541Rsrlcpj54NXwq2+KwXGcVrLMALPZ/PDDD8OmtHq9vry8HEEQT0EJmxolsgoRggweK6r6qG3tXcvqoPc8lZd9TpYAfle0wsiXusPkERgkEv0v84O1cODbPadZYkouxzGowMz+GhiGsTS14sDBf1wdCm9WW6/bkiQSyUcfvLlKPOrtJbqjZPiFLXxz71GlklWcJBKJTp8+zefzEQR5+eWXi4qK8vLyXPmXIAiZTMbn88bdII2jyT/frU7q7vqM+r1FRUVwSRCCXCGEwHG8sbERwzDfjmRxcXF9U8zVIS+E005DZKchsllt3bvfMRa2ura21pVnv8Li/OdfeLd7tzrJt9huikXBzWqrKHmz24iATfdppVKJYRhnEMEhONi737Fnzx6olvo/6o7rlgekmw6cC7IP2chAmPZ+TxcjLR2CFg67Jh0HNhYm9xYmTXnb7y74QXooUnCz2uppfvSPU3y3rZExDDObzcyn9uDBgysTTVwuBIegDWOonwaq7yq0iINSpj/bgQnFdrudvV7pCW6laqhKw68AD3KQSWkYHhO5XG4wGGw2m1cRKIZh77//vifvBdi9DHq5AcYV+8ACwzDNl3/bmGP37eMhl5RWUdUnXp7frrvrtryv/1qKWyfp1tbWDRs2MCg1u3btylsbvTyFaxbHIUhISYx6bOXClMQon0uZaVgQO2d12ujQ0NCeNz/AMMy36bNCobBYLI8mEhtz7I887G8mLLT+oal/ERERQqFwwYIFsHL69u3bZBHdsWPH4P9ff/31wMAALMljb84rEAgeeughstsTjTfKdryWlZUlFAqpS45BQENDw5YnCZ8/HnIUjCDIma7rN2/edLWd7jREzluw3G0r7JGREYbibqVSmbc2unfAYRle8e77GmqIDf2qzxojWSbxceAwuVgcd7dAGhsdYf3yi2aVStl14VJNTQ2GYQKBIC5unK5FlZWVy4RDWzaGBcqWbHXaaLvuTkZGhlu6FIvFQ0NDJP/C2mioUx87diwlJSUiIsJbFhaJRDYboe/sdc0Xnh2xJIBW62xw4sSJM/+zP0cyx5/M5ZBbjludNnrr2j8QBGFZGwOXYj1NzWCFj8lkOmuMfP6lX0IpjdxyfVPMqXPI5rK3H135REVVH3d5c5hCIXaBNJa42Q1NG/R6vdE4fiC1Z8+egO9JVNg5jUbjKWglmzCREgR8jKIoSc06nY7ak2lcZK/bLErefKbrW41vCqSxOp0umKdAo9GYTKYCaayf97NQrI4TzE+/diO8d2DUZrPD+Rd8/kzX9Q0bX6C92WAwSCQSt/MOs9lcU1Pz+eeff/d/JRWXbofvKS4uHhmLOWeK6rPEi8Vi2GgAVvtAoybqN3LgEMpoabPeuXd/Sv7Xv/4VQRCCIFwjQaVSST6v02kDO+Hj8/mHm86npqZ6mvsLBAJo6sbj8U6ePLlgwQLotUb1GPAhFtafu/Zo4v3p/9Wh8KOfCVJTU5OSgpFvqtVq1Wq1w9rmZ/wLEYrLcVeHwg8csRUVFWVlZUFPEIvF4nQ68/LyqEIwzAn3lPMI+9n0Djh6B0Z//vOfs+9FCJvHbH4KcAt3HEIcPf2Oo5/ejy6xS6f/9Nv1Pf0O0vR2kEiEfu0F0thmtTWct66kpGSCWsZ8pk2H0QzDbBXDMJPJ1NPTAxfoeDweGQhDJCQkMG+EBoVCES/oRxBkLGy1n0uU7NHU1LSQ38fSiHKqUjAETC4pLy/3lOcAJQhP5Y9wqPmWx6PRaMy9R7nOGhymE2BXngmiYOYuYqRSQbOHhz6ZtDcHJ43MB0DCWSUeDSD/glAuzSiQxr5bnWTuPSqTydxaRlksFk9nXalUxgv665ticnNzffhqvV6fvDSSu2g5TDNoNBqyj1FgER3hceXm4sWLQqEwOzs7Ozs7MzOT+tKK16LJHDISarWaIIhQO3QKhUJz8o8B518Q+jY90LqpvklNc95RKBSkzE8C+lhDoCjqmz8IrCKl+bdy4MCBAVs2hslkMlqOMBQfhEIhGdWuWbPG6XRSY2GYL0wt37Db7a2trf5UM08E/+4ogbY7owHf+NQwq8RxPD3jCfJPg8EwNjaWlpZGdmohCOKDDz5YNK9/ScLsHMmcrYXz+iwL58+f71V6IEEQn3766cpEU9nT8dxFxWGaISUx6s3fnxi3ub0/OHmy7VjzF0qlsq+vDwDgdDofe+wx2jUoEomguybts8Ndd0mjNbvdjmFYQkICy1ZMEw32zpPTSohgAI/HKy0tpZ7a3//+9wCAHMmc1WmjMEckKuwcNM5gj7a2tg2SC9wqHIfpigk1qCqQxq5aHodhmM1m0+v1NTU16enpbt+5Zs0aWsuF6CWz43Pm3vfVfBB1tba2hshxY+kaOp0pGBbhkGoDbSEVALAy5V+0RQavFtMIgtBqtcND57mrlAMHnwGL39jAVRcG37YbBg+cfUJQF56JFEw2SjGbzTiOB9aRXaFQ7Nq1S6fTbdnIFchx4BAYjGtJuGbNGrlcTn0bpGDqGk9IxcIThCnQNaOiqm/fvvtZvUaj0XUVjgQse4Px75EWZ21t7Vu/+XHy0qhBIlEoFBIEAYvWqVi04O5jKxfuKEkCgLNP48DBL2Sv/wmCIB0dHQkJCa5Brlvk5eXRHN/VajUtFoZtSdesWRP8X0QQxK5duyZUwAl1Cm5WW8llVrPZPNoVJcqn5wzCrEPSyh0aUY+MxWo0muSlUbALy32GzXOr845yFw8HDv4Dw7Di4mKv/INgETPMZYLPuMqMAICOjg6n0+mzy6XPmGj+nQJCxHXbN7/fYrF896UVtDcYjca6urrrtiSylcYKyQ+P65aXlZXV1dVx5RUcOASPgi+dJps3e4W8vDyacOGaL6zX60+fPh2036LVao827A5Ch52QjoKpbqSeHNmhVLRp0yYy91AsFrMvR+bAgUOgsGbt074VtrnGwq5Za0GOhXEcJwM42PeI+uqLz6YHqkYjdCm40xD58ssvkxMcvV7/6KOP0nIMzWazXq/31EqusLCwXXfO1fSSAwcOAcfe/Y5t21L92YKrLgzDYeozer0+LCyM1IUnrl06giDN6nb47fMTCmprf0qlnZ6enmZ1M/Ay82qKCRFnjZHU5oAoirrWWVRXV6Mo6unGW1pa+hW2kLs2OHAITtjoJxvCWNg1lYKWRNzR0QGXfzQajVqt9mSV6SeysrJEyZvPGiM3l71N8wASiURSqXRz2dvZ639S3xTjp89tiNr0NKutKyQ/hHqCp770arUa9ut0a8SjVqtvWppjFj/117/+lWuZzIHDRF+wm8veDtTWmpqaoH0lCVjBbLPZ7HY7lIl5PF5PTw98dbLyJahz8Tu2duqT7LtVhWjvOPJ0MtihyWQyFEWp9eZQkYCtCaFY06y2DhKJE2GuwYEDBxLMTmk+gNYDFEoQer0eRVEcxwsLC10/Etgd8AcajQbuLZvgL+QouNMQed2WRNqGwgVWt1JDamrqT3/607CwsIX8PqjIUPOCSfxm34n16x/nFGEOHCYuZlqe+VLANVlqLGyz2ciYF5pwueoVqamp+fn5IXVk3n777R9tvzeVKLhddycWKSAlYK1WiyCIK//CfGl4n3E6nQqFYm0Gznk7cOAQfPT0Oy7dkPjgys0GjY2NNpuNz+fbbLbPP/+cmYIBABKJxLeuphMEo9HY2tpKNQh1FShCKyPiK2yhvPibJbgDW0/+fwM/d31bW1sbAKCwsBDq9CiK9vYe5SiYA4fg49Q5RC4PPP/CRTYyOxjSbl1dHbzkPVU/w/ZxocPCMEEWmnbCZ44eO4bjfRtzY8nJeqhQcEs779qN8LKyMurRdMu/AACDwYAgiM1mw3H8ow/ejI4Y5kowOHCYFPD5fP83QhAEacdDEIRAIIB95OAMmGzu+f3vfx82naNlqtFYOCEhIcitlJkhEonIqTxMatZqtcd1OEEQNpstJCi4vilGIpE8870s6j1wzoB7016FQmG32wsLC2fNmqXT6bZshFbKHDhwCDYqqvpqa//dny1QI0SquTsVX3/9NUn3kPE98S+EUqkMnaU5t6DG6ZNPwS3tPJqCYzabZ82a9d2XHnV7t9Tr9YVPrSIrZFra/7kxx85dDBw4BBntujtuMxO8inbJwNATTpw44equNS4aGxvz8vK86tgwWZhkCobxL027wTDM01lpaGh4tzrpuG4JeTPBcRyAC9z1wIFDkGGz2TeXsW0vxCba9fAtNh/2DbpchlT3I0+YzMZF7bo7y8Trafzb2Ng4b948t1IOhmFWvOXop8BisTz00EPwLCII8tN//y9OC+bAIcjo6k/NyMhg4Fyz2dzX10cyb3p6OlRFvQpOExIShoaG3NqnQSAI4vbVUOt+FIoUrNYuIPN/ydPmdDo9Fbq0tbU9tc52WHXFbreTWk9ERMSiRYv0ej2XEcGBQ3DQrLa+dwC/dOnSokWLqPGs2Wzu7u7GMAzDMIFAsGzZMpJzfdYEIiIi0tLSMAzzxMKwXs4TCw8NDU2QicTUpuCefscnny8sKyuj3aAsFsvq1as93VS7uz775+nux1Yu5PH4YbMFFouFXDbt6f+XyWTiWJgDhyDgvQP3V8P0en1qauro6KjZbB4bGwMACAQCkUi0bNmywOqwzLHwtYu3qN0/aViwYEEoi8KTQ8GffL5QLpfT+Fej0WBt/0r9zsNuP9LQ0JCeHFYgjU1JjAqbPe9M16DFYqmpqcEwLCsrKy0t7eSXvQAA2LuTAwcOEwSaK01cXFxWVtbChQsFDzARE38YC8O0X1fMnTcreslst7Hw7du3TSYTgiAhy8KTUB3X0++4PbeIJgHDpVJPExatVnvZdNit4NvT7zh1DikrKxMIBB998CbX/40DhwlFpyHyjzUaPp8PM8M++eSToH01hmFKpUey4vF4nsJkHo8nlUp98zKeaEyCWeWlG26KCLu7uxl0eqp9Mg0piVE7SoYbGhoAADFxK+qbYriLhAOHicOHH1985513UBR9+eWXg8m/AAChUMiQ8Gu328+/NeLpJZVK5VtHj2klRPT0O858tTo3N5c2VYF9kZOS3LsKmc3my6bDzDpvdIT1yy+az3QN8vn8s8bIs8bI3gFHevL9iPjqUPgXmhsAgAWxnFkPBw5+XcJ3Z6Xm5+dnZWVNVm+ahIQEo9E9ZcXnzOXxeLdv33b7Kp/PD6mquUkQIo7rlrvaeUA7yqKiIk/TBJlMxt7wt6KqD0GQPXv2wA/CJ+EzsK0ndxVx4OAzmtXWlrZvOupOIlzdLEm4LV9GUTT43T9DiIKhnVJubq6r1NDU1JSZmemJf9VqdYSz0yu336tD4We6rjucGbm5uXa7nUxJUSgUO0q4TvUcOPh7IU+QL5pXOH36dEdHh9uXRi7fG7l8Lz5nLo7j0NBncj3dmREkLfjUOaS4uNiVfzUaTUJCAoNMbjAYvHVbXxx3t0Aa+0zelerqaljaqFQqZTIZ1dydAwcOPl/IobAna9asoTU0IhG9ZHZ8ztyzhy/hOA5d3kOWf4MRBTPcNqEEzOAsp9VqrXizP27r8NstFsvzxVbu+uHAwR/s3e945ZVXQkpO9RQLU+MtBEG2bdtms9nEYnEIpqZNeBTMcNvU6XSkB5Jb1NTU+NntIiUxSqVSXek5wl0/HDj4g2a1tbCwMNSWszzFwnV1deTjX//612q1WqfTkQ5BM4iC9+53eEoiMZvNCQkJDAL5wYMHA9J288Vn01NTU7hLiAMHf+BwZoTmcpZQKOTxeLQn/+M//oNckSsvLydjvplFwc1q68svv+z2JVhFzizQ3LpxMSC7sTptdGvREu4S4sDBN/T0O47rlm/fvj00d08kEpWUlND6aCAIUl5ejuO4OG4VGSYzuwxPQwoeJBI9rbNptVrmO6pCoXhxK58b/Rw4TDpCJAWCAQKBoLS01JWFCwsLk7NFIX54J4qCm9VWiUTiSYJgbu5kMBhC837FgcNMQ6chMjMzc0rsal5eHoIgxcXFPB6PTA2m2Q0zZBNPKwruNES2tFkZeJZZ1DeZTK/v5DzPOHCYfAzZl4VgRRlDLCwUCvl8PknBrq4RoVamHGAK7ul3NKut121JVVVVniQI/fFu5o18ffvyDBzrf/rQwl3wHEIHV4fC65tipkoITAVt/u0pfThEEODGRb0Do5vL3vb0qtls1ul0zJ31NBrNvbHLM60jZ0VVX7ygH4AE7srnECI403VdLv/FFN15hjosHMdDyjItkFFws9q6QvJDhjfodDpPAjEEQRDHjh17bOXCGTXWe/odKIqG+L2aw0yDw5kxPX6IXq8fbP/GuMdiCa3pZsAouFlt3Vz2NoN5EuxLz7wQ19bW9vrOqJlmu37qHMLxL4dQm5bl5uZO3f1nuKCmJwV3GiLn5TKWowAAIABJREFUJxQwh7dCobDwf6/19AYMw7Ra7cxUgfl8fl1dHefixiF0sDE3tvUfHymVysrKyqm152azWSQSMee8htSKXAAouNMQedYYKZVKGd7T2trKoL9oNJo33nijpqZG+z+NM3C4h3JjKw4zEwXS2C0bwzZILjArhyEFrVYrk8nIhs3UNOH4nLm0gG/6UHCnIfK6LYl5hQ3WIjPEv2RB91ljZKchcqYNd51OtzGXC4E5hBz27ndMlYwIhUJRXV0NANi9ezc5uSRf5fF4RUVF5J8hZZroFwXD+JfWiN7tvIChFpkqzSAI8uHHF2fUKK+o6pNIJJwKwSHUEJq+PJ7iX71eD8Pe1NRU2F+OOrm02+2/zfkr7SNTnoKvDoWPG/8CADzZKgMACIIwm83R0dHgQfm2yWQKiDUPBw4cvCXc+qaY+qaY3+w7cXXofq7qVCnKoGUBwIVE2pMrXot2dfOZ2hR84IiNOf6FWLx4sdvnNRpNd3c3hmHp6em1tbXwDtb88UbuYuDAIcjkW1HVt7nsbblcLpfLi7/3mzNd1wEAc/g5odly2BUCgYDspVRUVATjX1drSqo0ETpysC+W7SyblxAE0draWlpaStMlCIKw2WxCoZA8wUql8pEFOrJBZ0+/o3dgdCbMzZvV1tnRa3Ecp3VUamnnhUc+Qv55pf+f1EQ9TrXgEMARuCR1Ky1VVPGnX+HXZ4eaO/u4IAiCIAiBQKDVam02G7PPTOi0tfelOo6lc1JrayvNu0ij0cDZTXp6OvV5lUpF1R9gnmyz+igbruk0RHrb2Sik4LbV4LUb4XI59Qh/81ipVAJwgeMODgHhX1HyZtdU/aKn5VMl/qXFwt3d3SqVis21ZrfbMQybehTMJv7VarVGo1EgEPzrytfZpdnEAwgEAmrkS0KtVr/4bDoAo2T0V1aWKxAI7HZ7s/pTBhaGO0MQxOq0K1P3MhAKhbT12Wa1NS/vGY4gOAQQnYZIyD7JSyNTEqPadXdsNvvsiCVu82enHP/CFmgGg8HVlIcBIWLH6B0Fj8u/SqWSvAsJhUKNRggAYE6TNhgMO0ruh7EPJ36HvCfn5+drNDyGWBjujNlsrqiqnqKLeK6Wyp2GyEEikaHI8I6tfaYZaHDwP9odJBJRdDMA4JRe/94BfWFhoSgZCc0uGN5Co9GwTDLDcfz8WyMrXouekhQ8bvwLjTipv+rWrVtuw15ayLxMeB2A+w3iurs+AwCQLJydnW232+ubTE+ts1PFUOrOiEQiBEGuDoVP0bJmjUYTL+gnWXVx3N2WNs4rmYNfhDsyFjMyFguVXAzD8vKeIW/q04N2wQPPL69o1Gaz3X6ix2TiQTdLyD/MlgmhQsGdhsixsO8UF0sZeMT1SbvdrtPp7HZ7Wlqa209hGKZSqajWwFs2hu3dr0pISCDXAfLz8/Pz85uamq4O9UHNt9MQOTsilbwZHDx48PWdUQBMSf6lLtGSFLxKPBoKI4PD1MLVofAzXdcHicSiouemopLLnnmNRqPJZPLhsz09PZCXoF6BIIjBYJj0C238pDQ29cfkRADeW+CfKIpCgcbTpywWC229DgDw+s6of7a9S3uypKSELJw7a4zMXreZpP6osHNTdzy5LU0ukMZyTUM4sEenIbKiqu/AEZsoebNcLp/G/NvY2KhSqXzjX/Dtojj42G63T3ofjfBxz+51W5JcPk79G/VPFEXFcauil8yGfzLktWCXNDtKbG456FTr/7tA+G9USVQulzc1NX2mBeTOYBh27Nix13d+I4weaXHGxK2IBJ05kjlTZVQdO3bshS0LaVH88NB5sxl1ey3N4edwGREcmtVWAMAgkQibRNTW/nS6/lKCIIxGo7dLbTTweDw+nw/t03AcRxDk8ccfJ189ceJEfn5+iFLwhx9frKrayvwe15CN5F/wbbMMmnbBYM2+Om20vqmVtipFqwRRKpW0/kYxcSuKi4sVCixHMuzb4ahviokX9Acn8baiqq+29t9VKtXiOHqXpi0bwyqqqquqqqZxRMPBh2j3rDEShm9kJcL0BvulNmbw+Xwcx1EUJSfo1FdNJlOIUvCRFicbFqBVoRQVFVFT89x+HFqzu0Z/VKzNwJVKpacFQKVSuTYDB+Cbag5ygS46wgpAmLcHYu9+R2pqqkQi7u6yetSSxqsZ6TRE9vSYthYtoQUscHkkOsIaHTEcHWF9fO34+RvvVicdafno+Zd+SXseQZDvvVzzvWfWJi+N6h1wkJt9bOXCmeazPO0JlxrcDBKJEolEIgHjWgJMA0DrWpvN5k/kO3L5HmyfjOM4eSRJ8h25fI8aKSoUirKysknxLAz3dPo//PgiyyiMKs0Mtt9WARVVlHD7EaPRiCDI4jimWDUlMeq9Ayq3FGw2m2nVHGSCWnX1+AlqzWqrK43iOL5nzx4AgEqlihb++j/+4z9oIXZ9U0xd3REURd/8/QkURV2/pVltbWmzAgDadX3wVXgYy8vLqcvQRxt2Uz9VXl7uKfFuy8awyspKuFckVCpVYWFh7wC+44e/cjqd5POVlZW//vWvR7A3OfKa6qhvitHr9SiKyuVvz8Cf39jY6P9ayPm3RuLXzcGXeNwOlX8hXEt5g4PZlb969d6okUYlo2DVL37xCzb3BI1GQz1ePB4PRH0Ti0kkErcbUavVzxYMjkuU4uX5brMp4DbvjV1eEDvn6lD40c8EUqmUIAjdPxt/9Hw0Qwzb0T2//1rKtRvhq8T0groCaWyz2koQxMmTJ1EUtdvtLW3fMHVPv6OpuYcUVXp6er77vxIXxH5Lcf7Vb/VkhsOZruv2f8168/cnfvzjH+fk5FDfpj937dFEol13x2qLhoucJpMxPdl92J68NKr1eNPsiCVxcXEAAK1Wa7N26zt7txYt+bcnM8jnAQBSqRRFUXhMOBabWtEunL606+5cMBKXbkjEYvG2bdtow2Z6gyCI69eva7Xac+fO+cO/CIKMXL43cn1MVBjhSrJu308G2na7HUGQ4AfCs1yJb3PZ22z8d9zisQ2PUn+epyCaZRqDJx0ZAFBcXHzphgTcbzIoFwqF1dXVT661MYfVs+YuKS4u3rRpU0VVn9v31NTU0C4P8rPUvUJRtHdglGFvr90I31z29k9ezrbZbG7vHzmSOTiOKxQKkUg0MuZR2Vgcd7dAGnte9xf4Z1ZWlvzHvykvL8dxnPo8eUxc94pDKGPvfsdZY2RFVV9FVV8sUrC57O3i4uKsrKyZ5uLf2toKUx384d/zb40gCOKc72BDvhBnD1+i/qnT6SYzCu7pd3zy+cLsdZvJwIoNaBXZvRrz3Hn3aT0hISEpKcntHa/P9DmV1Nzi2o3wZeL1DGNRLBY3q62C+Y8mJSWdOHFCFIeNu80+S7xYLBYIBBiGRUdYaQFjpyHyhRde+Otf/wqDWQRBtmz8VnD6xf/0w5dqa2uv3Qjv6uqifuPIWMxl8zD84LZt24RCYXfXZ1/fvtzd9dnJL3trampyc3MjIiKio6Nff6OxQBoLk89sDsGsWbOSEq4z3zyUShUZ84pEopNf9q5OG01JjHr1Zx/BzVJDbI7aSFwdCn/vo5FRsLrPEm+xWP7z4zY2QvxEoKffcbrT3jsw2jsw+t4BfA4/p88Sv3PnzqysrOLi4uLiYmrukMFg6O/vh5Ld1PLK8TbyVavVarXaZ82Xx+OZW+3J2SI+n//QqjFvGTx6yWwYOd2+fRs8MI7wVMcwQfhGCz51DvFW6XdtwZScLSKPgif2hEIwNIVgPLj8cZVoqBRrNJrhq5+ySWOI430FH8jlcoVCkZL4LTHaZrOJRKKqqqo1a9YcOfiLAum3CL2lzbp//34Mw+CiqlQqBUAqk8lIUXjLxrAtG5Og/othGEz5frBXwztKkip27aqtrRWJRCiKNqu/ybtAUbSiSkXKx+vyf+Yq6RZIY5vVf3nnHSuCIFR1GEVRo9FIppeLxWIArgAOD3Cm6/qePaSiWjxvkYal/VNAQC4PwDOFoiisF91cxnRNwbCGzATAcZyNK1bA4boOEUAEJNUBRdFZs2bZ7Tp/YmdqpgT8M8iFUeHgQTptWVmutx82Gr8lIkskEmok78noAMfxDZLx58ukbzQzTpw4wZJ/4VfDLh4AgNTUVLc2QAiC/PnPfwagnxbCQF1Fr9dvzI092rDb4czYvn37vn37jre10bbw8ss5YrFYo9HQ7jTvVifJZLJ9+/bJ5XKj0Vjf1Gq80PFsMhCJREVFRcd1QKfT4XhfeXn5d4uO/PJn+QCAr7C4tLQ0aFYJA+erQ+FHG3bHCwDM59tRMnxc9834y8rKqqxUbX4KjDshmCGgdWLPzs42XjgRHPI9a4wsKtpaW8b2YqZW3NpsNrgiByeaCIIEkxQOHTq0b98+FEUzMzP3798fwK8OSJLvyOV7MJ9BDwLTf+iLRu3I5XtkfzmdTscgogaegjvO2R9d+YRvR5kmdB7YepK0wGCIglkazVANcxlA5d+9+x20NAZXelWpVEVFRSKRKD8/Xyb7K5WCyTU6uVxeWVk5SMRQuNtB5kus/Fl+gTS2WX0O/kZPEUp2dnZjIw5AN+2+DYNWsVgsFou1Wgk88jCdg1R1UBTdsv13ZMKDUgk2SO6XY0Audjme3+zDnj17jjbs5igYAFDfFCOR0OOAmLgVE1rbQmYTbS5jew1TTz2E3W6nZhPpdLqvv/46aMdNrVbDb0dRVKVSBYSCXX+jD0AQ5LP/3Ru/bg6tHae3GyktLdVqtWS8GL1kNlQkyGiaZIlgULA/th1UCh5sv03lX0/paFqtls8PZPsQhzMDgCswL3jbttTjOhPV/Z2GxXF3P/xYDycdmzZtqqqq+sepRnIRD8dxjUYDpbdt27ZRfx2UgLVarVd9NvV6PYIUxgv6yWlOvMCq188ixzR1cEO/IXIQ/P3vf6cqgxs897FNXhqpUCioItIgkdjTj3MsrNfry8rKXMWrykrdC1v4gU2jJsvVJBIJy1o1aHfg1lw8JSXl2LFjCIJApRJFUT6fT3XZhu6vE6XenDlD9htLTU31c2sGg8FgMPiZZ0am8VJJxltIpVIejweJVSwWYxhG3aurF4bB/G9N8YNEwf7c1hhmE56YXafTrRLzxxWCYeUYm93Yvn27TCYrKiqC0WhaWppCgb13QO82Oxh2ZIH45JNPSkpK8Eey65t08YJ+qNmVJ99/1a0kj+N4S5sV3lwGicRx9w0GzhoNyF7PqgfMnj17KisrYQElNUVx9+7dMpkMPt6YG0uLgnsHRvV6PSmwKBSKurq6OgDcJi/PNLjylFarxXHctSLRZ8DsGm/L1ajZr/AOTSVcHMdh3guO4zA932w2QzOs7OxseIrLy8snKFLbtGkTScEpKSk+bydQtW0oiuIITq2w8BauB0ogEJSWllINIpzzHYPtt8n42mQy8Xi8IBjLhVHT+70CNZIH36424fF4zz33nFslaNeuXWx4oaKqb9euXT4vTZrN5ra2tqiwc7SasQ8OXTxrjCT/hJcN7KUKUwK7u7sZDDahkmWxWJxO56xZs9gvkly8eFEgEMALyWKxWCwWoVAIv9GVI2BvJ1pjEfKlnp4em812x9YO7vtFAD6fn5KSAvfZaDS+88475IX9wR8LZ3IsXFHVR2NGrVbb3fUZLdHFN7UB0sEcfg6Koux5EA4h8sKx2WzQvgs8WBcS3Imn1fdnZWWRSRFms1mtVn/++eckP5I92wMOeFOHPXbdjkbm30gQhM9+OiSN8Pn8Xo2ZfZKZ68eFQiGDkHL69Glqf2FayRycM010Rkp4oDa0/plscmB5ok7Xhnqe8G510t79h3Ac960WXiQSbd++HQBQWVlJVYdf2pbumhHMXuoSCARZWVmwBq+qqor9/qSnp2s0mpqaGnjdwjCHvMPTSB8ytaff9eCd7tkftqMmKfiln4AvVFsABwDAA0vrHSV+8S8cPyiKFhX9xNsIFNYxUUM56jwSylAIilCjP1oUJhKJSP4FAPzXf/3XxFEw/HUwStBoNCzjQdff6AOgsTp0lfSNf6HsMO4JWrNmjdPpJEN11+9SKpUTXRHuexRMnUkNtt9O2jifHE9SqdQtCyuVSnJZiSWOtDhHxmLhvYggiEOHDtXW1spksk2bNrG5ANzG3YdVl+ctekqv15M5N9TYRCL5luxKE4wAAHV1dVDpJtUPlofr2LFj1KuL+iqCINS4GLZ68m2OSTYuQVH069tXXtzKn5mEC4uMyJP4/vvv+5woAr1BHM4MhtXXcSPKjo4Oi8XiGqn94Q9/IB28CgsL4WDg8/mejGMMBsO+ffvuxz3r18NQY6LBMDOjXkH++5nZ7XbXUNQrIAiSlpbm1QS6qamJemrCbkY55zuoG8zLy5s45d1HCqaqPDwez3E24t6yG+SrngwvtFrtZdNhH7Iy23V3RsFqqlUzjuOffPIJS8HkSv8/N+Z8a2TUN8VQ5aGDBw+ePHmSPOIMVXk0bcvVRgPDsI6ODoFAkJubSwvB4AILOYV09WsnkZqa6rMOBVcUIZX/7b//RPvh0wZXh8KvDoUzdG6lUrDBYDh06BBztgwD6ptifAuFGIgJQZCzhy/BtXh4j4dVl/PmzRuXPsxm8+eff/74448H00iPIIju7m7aqiC8vlzDFG9J02az9bXcpIZxQWBeT5oJj8dLTU2lXumpqakTZ6U2y7ePUfePz+ev2voINb7zdMdAEGTL9t+RVb/skSOZs0FygZqiwMCSrjoDLb+toqqPekVpNBqSf8F4HaWoWdzAnQ/c+++/v0FygSa5aDQaUnyAH+fz+effGvGUNwIHRGNjoydFguHihHsFT8GatU9XVPX5cMBDHweO2GBpL0xFYEZaWprPHFFR1VdUVOTbZxsaGmDjGNeJNgAgPmcuDPeQB8jOzr516xYbiWDbtm1BNjIVCATZ2dlQlGCeJnqFwfbb0KghPmeuz/xbVFRUWlrqLf9qNJrW1ladTkfTrO12u16vH2y/Tb0e3TYGmswomLqSSJs4MK/SKhSKZcLrvlmqXx0K/9OHFnj/X79+PfsFMTII6ul3kEWAcLXhxIkTJpPp2LFjcDHEbRRM+xPHcb1e7zoHxDBMqVTCNnfHdcvhvpnNZgzDoNprMBh+/vOfP/7442T8y+Px+lpuLkqft3h5DG0cQ2UQXvwMzZ9cKdj14Dc1Nd21fwlb504P/t273/HKK6/AdRKj0QgDGZvNBn074XvOdF3/f/Z+SH6EWsfolQ6W9+Tz3pIdQ3MdHo83cvkedZ4Ln0xLS4P9usiO416tgAUTNFGCIIiGhgYfmDdp43xo4+uzakEeNK923m6322y2cTUTqIrQiH4ibnu+UDAty5qazQrA+H6mvl0MVFy7lThIJJp7j4qSN7OfrR9t2D2Hn0OytkKhIAuQBttvmx86jyBIYWHhuBuErEp7m0wmQxCEnOpCCoaaAHnamF34YEIMeTDJWJtMkh93x2hf5/auuaNkGExxNKutDOedjFZc33C0YTd7Ecwrv1baxNyT2wu1fS91XuW6q27HWEixMHX3vO394/Y4eAU2l4MrvLXBpE152ZCbD5j9xhtvePsZrVZ748YN6gyFlAigIsP8cbFY/NGhExFRvluM8yKHB4lEHMfj4pPYXyH6c9e2/v/tfXt8U1W69iq3UpsESqWyk4gUaRpQgQmpVazSgBc4tZTjiOPtjIdzqIrfUc4cdMa5URm/8agj+jnjsQo9Koq3wTlDW3uKF5qCFS1JIwjUJEXKJcnGUtqapNIWaL8/Xlgu175k7Z2d0mLenz9/pc1l77XXfveznvW8z7v0TAeQ1atXb9++Xa/X19TUmL+7fPZtU+64446SkhLy01wul9Pp/PTTT91uN1SOhkKh7OxsIUL505/+tHfv3mlTxnZ0ncrJTvvm2+wv9rT19/eHO5r3fXVkwoQJQAtYrVaO47Zt29bS0qLT6bC3DgSsJPR6/YEtHe7WBvgrz/N6vR7AwsDAgMwDPxAIgO5NhpBxu93RaGSycSQazpGTnfbq280Wi0WU7zKfDeGf3G6XlCmoMP8ei0xl9GvFsXPnTpfLJQS/3YdPjxk3ovvwaXNRKrXQycvLmz17ttPpzM7Oplb9wWBw3bp1Dz/8sNfrzczMHFJmPTAsgUCgt7cXZEJerxecbmRA5cyZM1s+P9K151T2nSpXY0ajsbCwMC8v79JLL2Vne48dO1ZXV6fCDIjnebh2Ho8HlsKq3Sxh6SAaakRpJCe796lu9KvvNxNZJkpubu5d9/xqzZo1eAtYJqRQ2xUX13k8yrb1MG9QVVUF5Q/woAugvWUlK4WY0eP5QX3HniOSD16dTsdxHJhgtYWzbbbshYXoonF16GK0yzuWLHa8+OKLly9fjhBqaWlZv369ULvOcRz3EHe65jjeosGH2tTUNDAwIHUMjKBJp4tdFzP049H70zZUiqiFRHmY71NhbwZCXSz5d7dvrHy/RPl1IY2kkAcJBE8wJQKBQEpKyvLly+fPn79z505SH+nxeIAci0aj69atG2odtWGcYc1hNpv1er18gjuwpSMadcP2o4qvo4qV4rwo7BEe3fbIA48vX77c4/Hce++9jIAvJnFMrlbVpGAZMM+4S2Y2m9evXw81EfJBetBQYbGkK4UG0BCFOn6hwre0tPTf/pm7p+T7/PvqpojpEskjIdNolqH1iou/v89hy77uw9fn3/jzlpYWyL94WQSb4HAWQE75/f5oNKrTnanh/uLjr/71l3eRX5SSknLllVcKZ9v06dNjnv6KFSucTueGSq9qOn7oBNXXKhwOP/PMM7NyexoRmmxZKpqwTCZTzBTM0q9WOKOErtBYX8VzvGDefr+9Xl9fD1Ni+fLlb7/9NpWCyZ8TWpFMhc/ne/PNN/V6PUBOmVfm5+c3NjYGg8GUlBQAZ5TOp62hb9bSS3ieV+3qYLFYwGCW/S1bt24VLftWER6PB9+zoVAIb4/D3oMU9JThA4UxStuLp4g4i//Bjh/Cip6KbQ19toIzLI8UxU7tXF2cfZXM1p+QMyJjtrWH57uqq6tNJhPUlZJPMvxsx7DC4/FAt1ePx0PmXwhRLBwMBuHtpaWl8sUsDofD4XC4XK6VZetI8no40hE7vgyCr2BjY2NNTc2j96dBL8Fa5ya32y28sqQpaPz4Vx5kgaoJC87wAVA3J3kb4+cuBOjf4ecXX3xRNAdt3rw5Eb12oMCS5/lf/vKXMntFeARsNhsUOMDmCt7WRgihAvVlGkqRLzDUmpREi2LKUCikupeFllywkHrHKwu73T7IjBUUUMZ8QobD4S+//NLtdp88OrKt6buCf7k8Ozv7zjvvvPrqq0UfA9XV1bBvc7R91P7DY77Yc8w8JR9OrbGx0Ww2A1ELxN+ePXui0eiIESN0Op3D4ejvO0yl71pn5xPPbi0uLg6FQkAs6PX6izJPXZufOXDyyId1zbm5uZgXBrOeUCjU19eHLz8QUuQqhOSFm5ubf/KTn8DPTqez+3gdNnf3er2iBvwmk2nx4sXBYPDgwUPdvRnDt+/nyNTJfr//m0NVixwZugv6cXaebe2pr9/21Z6PPF9+c/DgQfBNNRgMNput5oPdooww4F9FlQ7t7e08z5OcPjTOQWmnhPoWjuOmTp0aDocPHDgQDAbRWasdXCCbl5d3xRVXkO8qLCzct29fUVHRtddeKwSqv/71r1taWiAJShnDqoM15FZwOByeMGECRV9GIpG6ujp85DzPQ80ezFjDyayuPacGJpxQJzLT6XRTpkyZO3eucLUnlXl9Pp/L5WpqatIE+WL8nj55ZPfh070ju+HUEtTfU5kignryUwbB56S3qzz9Rz42MKEekzPFmo0nXzrBcRyJp3ClJhShLbtjxmxrDyndp7bda52dsHMIlC58GtVjVKj8Z6GxYFOYUkFA/SF8KVhucpycEz/cb2CCPGhG5hrGyrIDcAli0VmXkUoY4QYDHjGlcIR02CFNXoTSRpnFKYBZqSJg0RmOvxq+S1tvdYy+KyoqqPwASFO4WiexJ8sej/ysVvfA0DD5UrQJ7u2bEBihCAWHQqGDBw/i5x6ANWB/dDrdrFmzBv8mBK246OQGTxOn08lx3IEtHQghR9G1LJwpYKVDR7qunPuPJSUl5KMPlvwul8v12d/LfjEZ8ONu31iMpqnWQfsP9sy/8eclJSVQmuHxeJqamubPTSeRcnpq599rvAaDASNWg8GAsTC+zagdD8DCCCFSnpGbm/v4nz4qsI+6+KLop5/ULluq31LfKSUeCAaDer0+Ly/vww8/fHCZcTii4GlTxl6WE1vk4PP5DROmwyDk5eVVbNxLtq2qdXZebv/XhQsXKvpql8uF6zNbWlqmj7z60kWZer2e4zjAxdGz0dLSwvO83++H5DVmzBhKDAMiIoPBsGvXLtGZLPy9z+c7dOhM37OUlJSbbrpJw1HNzc3t6ekxGo0vvfQSnjler7ehoQGQJhVtDX3h0W0kCSNT+SmFfGfOnOlwOFikDgB76+rqduzYoRXsheflyaMjuakTKdU2Qkiv1yeuoZEaXTD5BEZnhasqtiwTioVJDSAuPVKK94XgFIQH5eXls3J7MPgilapg4oNBLmXWVV5enmVoFcWbQiAWEwtLjTn1LSvLDthsNiHEg+sIg3Me6IVl4izJ+/0IYLsSso5ZUTz22GMYD5KbNvFgPSlltyhABqxaUVFBSSkSETJgEzAj5GKl46B09ayJyIEF9opGgkozlKFgENnxPI+fwPAES01NtVqt51C6GAgEJk6cSD6uI5FIZmbmN83fXmI12e12pbVGoHakUE8oFAJWbt26daT9jV6v93vd3b3jwZzB7XbrdPoPPtUdCE383e9+RyIXw5ivcrLTMGtJBuDinTv+3tW+9/0tu3ieNxqNOp1OyCq+++67AIdzcnKOHz8uHPa8vLzu3vFf+tM+cZ3c7Rs7K7dn/8Eep9Pp9XrxSQWcDAP8AAAgAElEQVQCAb/fPyu3p8A+av5Vp9H5Hg07jzscDnIY39jU0h69dMbMGxT1q4Wh27lzZ3t7e0dHBzD7OTk5mZmZFGUvEzzPg5BWr9eTiBj2NoTbGyBfo365ePHigYGBt99+O6H3ndfrra2tJe93PIDfNH/btecUJC+A/2TBvU6ni6kUvummm1i8FwKBgMvl+uCDD+J0vySj+/Dprj2nLpoxLjMzUwh7RcNkMimdKgnkgoUo2G63n0PpIhwYrnZT9OBqbGysqKhACC0szNhS3wlcgSjigIe8yWQS9XsjKV1RElapURwusSNHm/T6AQAbc+TnzJljs9ngHI8cOUINSPzFikM/5AvqFAWsrvC8gomBayzbPj2pou6LmieiWFgUCLN7SKq+p0T/ZLfb+/v75UlYmKWiRAE74ZsIqhchtPepbhXdjxK00FeMgvGDCGSPVzns+Jkm2rJ+cKK+vh6sdoB0mzJlisVimTt3LsvCYd26dQ8uMy4tGpeTnbbIkWGx5HSELyCRRTAYrK+vh2tQU1NzzZxRomYL6amdO3dFYG/a5/N5PB5Kx9bVvveijOPsJ/WJ62ReXp7ZbB4YGMBTmaSDo9EoUMYAQyiGET8MgJgDtVBeXh71JC8sLKzb8Z3ny7a+U2nDVxohH6181vU33hLPJ7hcLq/Xe/z48RGdF0yZYTaZTKmpqYFAYGBgIDMz88wEmDwyq2AMYGGwnmFHmq2trXq9HnAuYF68qsO3HvUbvFxLBPIF2lc0DR3Y0vHtqG+o3Go0GnNzc8PhMEa+kB/amr4T1mJYrVZ5OOk6G0L0HRfe7Ejjpk4ESyAVFSJwu2k+4Cp1wWe2gL/7fqEhVKcPZpCPa71er2hr+w9/+APeAoZYv/4HoJJcKNhsNqovMskkYKWq0WhsamrC3bABUIAoWAXrShpL42I5RIgWQZciioWpW0WoXjrrgbu4vLyc5/nhqIuQD2HvDKU0KIx5wyt7Fz50lePWqzFIDAaDwjwL9zbP83uf6r7h/01j2S+CXbuqqiq8bhO6pA9OXQYL2UqBR3KjBdrjfn/jTDiRVTBGqJp3Op3ffvutFBsev+O7KO72eDwDE07w/Il4PgcL8M8ZCgaiE/9zWr4ZT0G9Xp+gHcOYkyYcDodCoY6ODkw+KJVJ2my2wrOxePFiCk4aDAafzwe2GFmG1tsWT5b6nN2+sZFIZMKECQgh2C4fM2bM+vXrq6urR4wY8R//8R9Go3HX3mP+/d+wmJbtP3hi1k+uxWwgYGGO4/bt2wfUG6UbR2IF4hzHAZzR6XS//vWvZe5kYJC37/j6vIHDu7xjv/Sn/fLR/6vivbDt4XK56l7yzLnxMqPRWPjTq8j9+kAg8Pnnn8dMVXhDghEUg3DCYDCA/QKeigaDQUgHa1gyFwgESKmvKKvQ19dHtfmwWq0LFizAWQmUPGBFRoKzQF0UIURp28Ph8JgxY+C8QqFQa2trXV3doUOH4jF9Fx62qExbdfA8rzndqlgRIeWKNPiKCCiNw6wZ9DS02WxFRUWJOJLS0tKYEtQNleNxTw0gWG+799OioiKKkgb2WYaBrXV2bqnvvPfee6nrHRMjCHlhIBaF6g75SyyUbTz50onhVUoHChPVu9jA+bY19C186CpRvKbIdstms+3edIhsa8D4LvKrKdmPvDGe0ltJinKVcjWT53OFWQIQg/BbiouLNS9pU03Ks4Tmuoi4UjDlFDwIpRm4PgezZtQaau9T3Vc9fpFo81Ah38T4QIOGSTMtJ6j8i83C9XodWC5sqBx/9OjRSZMm+fZtfeI3cxBCR9tHffCpTpgZoblGOByeajxG0gUANzJN/yAF5MPhcF1dHXnz5+Tk4BaQ5LMwZrMZmQDdJSTiV95qfvXtZniuLC2+OBKJnnOy4o9rt2Lxf3pqp3BJUevsHD/pJqWdDmBqQWP57sOnLVdPlpohYMnv8/mUGpZDzRUjEQntG1JSUoxGI7SzolJwnHtxgUCA53lRa00o4xSqtcCll+XGASdu6jNFe3FSbrfxUL2TLhu/vzGAxLrAaRWad9BQnIJJtshisZCjrEkKDgQC77//flNTk8VieeSRR0jeDfYrZB5Bb7zxxoEtHbNvm2I0GmVmSWVlJRbVP/bYYzE1PU8//fStC1PItXmts3Nk6uQRYyZDYqqvr79l/pGW1hMvvMbDfPr1gxby9dB8bLS+gOM4Uc8R3O2CcZSozq/4cYh9UuDA4rxFvV6v3+9ft24dZjxsNltxcXHjtj+fkyx8tH0UjCqmdwOBwNq1a/V6vW/f1ttuuWaRI2OXd+z+gyeU+qxDMoJ8ap04GxO+UtHc3Ew+25Q274FWPYwrbvyIBcMaYaGmilssGo06nU7RpA89BIQ6LerbGeeP1+ulhkXRQ4jxqXbNsstIFJLQAB8CDYGwYo8Ikg4mXYORFrY7CKE333wTViXHjx8PBoP9/f1Ajc2YMWPixInyzFdfX9+3o77Jzc11u90yB4O7HyKE9Hp9TOL42LFjtVsPbao+ghDKyU5bWXbAMGGGY0FJXl4etGg7ePDg8y83HvlG/8dHshrcpywWS+TbIAnNMjNG52SnTTUeq3V2bNiwofpsoLP7Y6Ld7OUZGGpmg6spKFUhY7a0tMRZ0nPhhRfm5ub6/X5M7QGc3/bp/pg1wZqzCi+8xjfsPA6pf0t95+LFi8vLy/1+P7CHqWkTH/3dCyPT53b3Ziz8h9sU3SHQuerDlS0/+92NCxYsyJ5xscyLV69e7XA4gKjFvzSZTGAGzShcjUajoBxgEU6kpqZaLBae548fP67T6fCOkLqtIYBQUOMqjMsvvzw8ug2lnaIeGBaL5dprr1XKO1944YVWq5XatEyfPLJrz6nWt3tUe6eRZAhCaGDCCbwPNAjR19fn9/s1ZIRVVsdJLSJEgbDL5fL5fNDRUv4qNjc3P/fcc/ifHo/H6XSyX3iv1+t0OmH1JOOp8Ytf/ALPiTvvvJNU7MfkLnieF1qmQZ/mZXfM2FLf+fDDDxsMhs3vvXDj3NgSkf+pu1jeFwaWxrC/EQqFhC14cZAcMSxg48Ev1DHU19e73W673Q7n7nQ6O0K12gJhzOq8+nYz9HYi6w+hdTxMiVf+XPTCa3xZWVl1dXUkEiHhj6KrCcjX6/U6HI5QKBTTFMblct1///2wt75q1ao777xT/mMZQS4sz6flm2VwMcdxOp2upaUFytx5nof2r4pQMNwdorBOr9cf3df1TfO3QrWD0WhktMuRmT+iPUyFnYHYYW9WwRjGkrYEhYaWPWq6ZpCPNXg+ywBhl8u1bt26Q4cO+f3+9vZ28gXgNErGxIkTyU6aRUVFU6ZMYT/Vnp4ev98POg2pNzY2Nvb19eFjfuihh9hP3GQyiULmV1555dH70/YezL3//vthCzvSnVLr7IgJFQ8ePBQ5IU6tNDY2VldX79mzx+/3Hzx4MBQKycv+oAkI/Pz555+TJSrHjx+HfXZ1iDg1NbWrq8vhcOBrl52dHTlh8Hg8oiTsC6/xsFz449qtrcdsLHh5ZdmBwuvvNkyY8ejvXrBYLB0dHX/4wx/e37IL3ruhcjzJlU8YP/rBZcbnX24EKTQ5/a6++mrGUrHNmzc3NTV9uLLl+gfs06dPZ3nXyy+/DCPMcdzBgwelzEsNBoPJZJo1a1Z/fz+jIm3MuBHRaDRQF5Vankej0dTU1Gg0CsV48E+9Xl9dXc0CxwKBwJtvvimFfAN10YEJJ1DaKerb7Xb7ggUL4i+9O3bsWH19vbBSrq+vD/e0ZSdwotEzo5Q4tpfxptCqKDFev+DXf/aJ/M6jz+fDP2/btq24uBhvpk2fPp3MkrB9VFZW1tLS4vV6Yc0bCARg55eFKgWnx0gk0tbQ5+bc8HqQ8oD2JRwOm0wmwA7s23HCqKqqAn8Aq9XqcDh4nt9QyS1ePId6FG1p+Fy+h3x37/j8/HwggjHIVbc1cd1114EdDM/z1113HbVTCh9bXl4eJyLGkZ+fP378+Frnf2MsvKVBN2rsJZMt3Pq78lwu17XF99tstjaPJ9wxVtQDCPjx7t7x4y+8fO3a/2MwGFavXo2fHKtXr77zzjuffOmtR+9Pu6ekq6LCgwHg82tuRYS7rjF16vufvQfAmazAlkpGsCA7uq/LfqO9uIFjHwoSbRiNxubmZqnOSXiIpk+fHg6Hm5qaZJYvOADTAbgTXr5IJAKkMGkrTFkMS52vKD2CzRiFWDL+HSeY0tDuS+ZlQDlShouiIB328c5t8QEF7bX6KI0t24V2OeQ0jUajuJ2wKL8JydFsNuPlJPQBg+04lt48Z3ZyPz3JF/CY+cISWvLtqvPvGbdDO0II7fLuKi19a2Fhxk/vohkY+PwnX6rmOE6qKGP6FTfAD/Gbj4DLO2kJj8S85P1+P9yQSl0BhZcsNzc3N/fp1atXP3p/2i7v2Iuzr8JDWlNTg5PpX/9nx4PLbqXeu6FyPEK0RSd5u/I873Q6i4qKap1/W+TIgM4x+DpuqByPrbhGdF6AT1neoAtkZCO/zpy1VHf/b/9Z6QjffffdeIlWWlpKqXGwZQ/p5Qhd3+GVjCI2SIjT8s2UhAvKNyjYKL+skfrGMx9SwAuxZJzSUnWm6W63G+pOwWAAX2WO4z769/1Z1/RlFZxBvhpKhuMMv9+vlS5CDRdMyk0o2aBQNAc9rv1+/7hx44qKigDYguszKBzgZwoRSz15MKSVefHTTz8NS7bi4uL+/n6cl/Py8uJfO1RVVV2S6aYW4ADoJhgX5eTkUKdP8s5Liy/G7YJaWk/s+JJbsWJFIBB49tln4fFOGVzEHzIb3OiswEhUoQF72VarFW5ymc33YDBYVVVlNBodDgdAg2Aw6Pf7wcMb4BvQpsFgMMvQ6vF4RqbPLS4uluKs0NkKQBgNnucXFmbs9o2FYjO73V734evdvd/T0CkdafjsFi9eLLzEgAQbXtn7s9/fFIlEpLrgBAKB9evXDwwMWK1WKZ4XsflTk0gQ/bDJDUn4xszIgIXxdgtJ8cOCQJSRhPOV6tzTffj0tHyz8E/xLI+wnoRd5iGzk8HzfOEVC7sPn4aOR2iohlauOGpSMNWmm+TFhSlYZsqS2EGRyJyEzKIolbT9x0gw/uIRUbdvHND2nKqnIEufOY7DatbA/r+BRyJ+gTqjP3yaMCBSBabyrZVIREx9AgDVmPon4RXB5kfkgICT58LCDKE/JIZs2GtJWBQAk56cfqQXjCiuhwZ9kNPlT4G8EFJFYlqFsL2jPHIka51hcGpqaoqKikTPVyptSRVHxHNfaFVPTJpPxXMjDHJoIsPVIAWT6uA5c+aQ+6dSctdwOPzVV1/p9XosroRXAk0htfIVpm8wh6SAAJX1yCpeo9EYT/en11954taFMQzCG9wnG9ynQBeBENq4cSNevZIgF36m2g2wAGE4HVhASBWFe71el8slxCMx5aiUvoXUG6xduxaPM9nABo4E/vTmm2+mp3aOv/DyOXPmmEwmAEfkQeIUPNmyFFJnf9/h072HEUJ6vU6n08MvG9wnAe61NfSlzeoFjhskyXl5eaLFQZRaEyPfqQsnsKg4MQDHVyHRdUZerzcSiYBOgJyi5M8kMNTpdCO70ls+P/LV6c8w30Kq2kVFuPgzd286JMr5qkC+pIZak6EAx3fS9F3z5aC2K0ur1aqhH4MGKVjqiYoNzkWzJwuqYkHHQvxF9XQRNnVWV2JI2bTLB+6Ugw16XnzxRezpDuXCUBX6wAMPwDM/5sNfabWFiqpTGWyC2zJillOIInHJ9ZMvncCQDVASrqSAFLylvtNms8k7Fm2oHE/BQ9GrKVwVxqwtFl2KAWYfHBTMeJlEzxofJ35UyHvriIq31CFfzT10SNNIgCPLly8njaiGWggbsJ6bFIx+KA0myTjy0lIVRCR6YqyaJdk0GQoYI2gglCsrK9evXw/CSZi+1KRRV9+yevXqn96EWOx1dnnHfvLZgV/99i9AXoueLHnbbNu2Ta/Xk0wf7ALjspF4JL1UNTN1Z8rXhlLp795775Vn4WWG6L0tA9OvuIHjuDVr1iwtvvjr4MQsQytC6CdXTJSyBDraPuq192hCk3wMkKDe4XDodDrgQI1GY0pKCnC+YFQPwhVq/EmPGzivjRs3+v3+OXPmqFgquVwupb3WqftCRhWAzoof9Hr9c889h1FwTk4OpQolry8SuJrJbwDIYF75Y1MEIUHeMC3frNfrhVINRXWDgxPQMwxG7Ny37xRNweRtjFOw0ENEnsBVxKBJPYhw2RjVOVwUZajAwlRrTlHgBlQmfLgMhSqFXLQyAWFv8TLy60xsHwPjRmIQPHTFxcVSSlhGunxD5XjY+AYuGC5WTU0NbLgJBxagNJ5dFRUVv//97/GxkVgJY+22hr6yN1cK+WiE0PLly6HbaczVFcsqTfjsgYNkd8UU7YMpww5jLEyunKQW7FIyL0UyGJnFrrpE9tG/72dZexUXFyeiO5G6SFCzogSiYKCoQTJJEnPyMFYpXiChMQkSgWIGgjLmigkeyEajETxQWA4MJmV6aicwwrigqy2cDXc1x3F4OdzY2Cgj85Ca3xpSkFKedqKI6Zpll7377rswYjzP33HjMlCM8jwfiUQsFsu8efNY1i4bN26cajw26cJTotj2vS0Dn3zWKtyOgybkkUgky9CKBxMI5TfeeKOlpQWuKcWZ4uvb1tBX8C+XL1iwgDJvhHYhOKNVVlYitlpwRZYdVVVVpI3GqlWrROW6MY0lsYydTEBYngUXAsPDlBSROxcX2gn91OfMmcN44hryvN2HT2PdMXst3Lx588j6rHPF9nIcl+jkC6FSF0xCS6Hgicy/8YNf6pOpaQQldpigzM/P37x5M5RywsSlSEn8RhBa8jyPib+YKpO8vDx4Aez4yUAeuIeVPm+02oVQil+yCsaAhgzf8OHRbVzBmZ9h6CKRCIsvjMFgePXtbUDqCeHwrQtTPvkM7faNNQskAVKF2rBbBQfW1tAXuGAvrDPwWBUXFwdtZ0ArNeCgJoafX3zxRfY7CqTojC8G4Tn+p9frFYrQVd9loojYZrNt+fPnFMkAyDd98kghdcNyJJp3xuQ4bnfD93uA7NyChg3iVBzz4PcgVomCyT0EUhgEhCagv+bmZkbBryaBGWEAC4CbAOpC8mX0xMM8rMFgMBqNKqTELC6RohBVabmEELyQQAlcYxjbiVNmC8Ckk9fXbrcDlIuJhQOBABRx+Xy+qcZjwg3MV95qFu63QJkc1gLzPN/Vvjc9tYvn+ZHpcwFD8TyPiz5SOtJMYy9NnzzyohnjpJj9QCAAHa3mzZtXWFioFNTIr2PIuP3222G4GOka+dGDUgUK9uKAwTF/dzlkN2AqG17Zq0LwEAwGQ6GQhtqGlI60n1w//ZPNLnnLi5g3oNFoHOREbLfbBw32ap+Chc9tIN003zpURxyTcxekOTCJ2SEntMhkF+SzMImiKVgpCwHnKHohcFNxSskgH/BRJHhEP+xMo5QnVSQjQWfteChqeGXZATDlkVGPJoizYy/EKC0tFVrsK/0uWM9hzlp4ZfFv4PRllC0yj/NENAey2WwxvQoUMbCDQweTc/tchcoUHAgEnE4nPOWgFOpnP/vZvHnzsF/tuc2/6KwYgMRxgPWA8QSNugoFOIBB6OInio+EOhDGB5hOp5N3mmd3TUPMWi4hKZw2qxeEGTzPA4dI7SuyY0MwkIuzPXNL64lDx+1gTUnVUOE6F6R8o58xWK4mHhbVKxissJb6LpA5NzU14ZUKDIXMBBZ23ICZo8kOGyxKQHShrfkvxJw5cxKqC+Q4DnZuzm2OglDJBZvNZnBsglvdZrO1tLTMmzdPr9fDbzwezyA00ZAnJZcsWQISUaonBfwf6Gyl9Cs5g4VCXewoxAI2qZBRegM+UoRcyFPzeDxktpIP4G2A/4X8S70AMBpLujEYDMuXLweTB9XXcceX3IoVi4Fluvfee9esWQOnZv7ucvJl0WjU7XYHg0FtubwZM2Zo1SgeNNHk/gFeqMX8fKCYSE6J/bGKtG4Fv/ep7p+/a/N4PInzikxJSUlcZlBN9w0tFIwQ2rx5s9/vf/fdd/Gtjh/LQAMpAiZAS2lohIy3UyBpgt6Q53nsXQCEGsdxWQVjVFuXUpc2nvWdw+GQycLs8gYIv99PksKMtytu0EBy+kKIB8oTRiy8devWrqMf4N5OiqLW2TnZsjQvLw+W+TGxP5zs/Pnz4cBgrYaZYtXNLhlXNjI3Nll9B5IJFo0QrHuw0Vr34dPh0W1YtUI9VqHy0+VywRt1Ot2IESM04Xlhd2T3pkMLH7rq6NGjLK5v6pApbMDgjPHGG29oJRAG2Kv5Iukcp2CcGvADFs8JuGb4NRQwFAIr/CEcx/3hD3+QT6lk1ib/SX0LTG7Kphr4B7xJhR8e2M5m0mXjd286NGvpJYo2EyBhkVlPHf8lHJk33ngDqiGdTidpFRYzk/I8j+t6VR8SFqKJ5hd25Rasgv1+/1d7PhI1rhQGlLfcdc+vzGbz6tWrL8o89X9WPgGWQFKPDfJygAs7XsxaLBbo9kImaJkAb34sMYRHTsx6TpkXkEXz8+bNk/fpR2fLlwE9wOQkPWtk6sfsdru2pcMIISmbp0SkXerhHc+mHGQhbDU1ZCPeFAwJ9IEHHgDZvIyVPeB/0V2ympoa8mVSWUPp8oFCjuw2+9Dvdvd7h3H1ZMzXx7/Qw7wNHiKMqckPj5lSsfuEulsC371kLabU5qrSRTqo5eTrkiFWlh2A53FVVdX19n21zk4sJVa6IBCeozxZUVVVhfeCsMIh5vay/FCQSKWsrCxmzT3pM4X1PKImOwlaqqueQhoSAvHo5IYa2yATGvgF63S6F198EX6GhiKiDL3H44lGo6RKBtZZ48aNI1MwqEOQwnZq1PINGqXg32CJOHAjTHtZl6LLf5Xeffg0nM60fPPuTYemLpyAcS5gXoCZKp7V5H0ln1nwK4UkrxT+JblvEhDhD4FNRWEPR8oSGzbipk+fLvV1+fn57BtW8I2zclnVEbAe6mrfi9APmMHFixcLsTBQSbC+oRZhwvHcvHmzjMSFnDlutxtSMHbWV73Ega+WqYwnS4Hx2t+DPBzH4RWSyWTC2+D4mkJPo/gB78KHrtrfGNjfGPCgRCVfEBcx3tpK98qGC+zVOAULE4cMbAS/cFwBga/E8uXLcSFp/HTwm2++SSFf/EgAyYHL5WLks/AbeZ7PKhgDntkgvoHbgOO4xx9/nCycZQmML1gcSSjyQeb1JBmNMTVcIFFQALwheVRYbUomWSjzlTIPU7RhlZOTs2bNW8vumMEuU+vuzUCoC0rmMOO0YsUKauIB64LOlgDgp5SoGJzn+erqaikdm9VqxRkNnlWqUT/OrcFgUH53mjydvU91X/4rFI1GswrGUO/C2+DkucR5v9jt9v7+fg/yeDweNBolYpNNNSZlX18OI9irPREBYnLhVACG9JPNLiEiForGYTsuPT2dHVIJD4Ps0dJ9+PS1S/IAqwI5iDM+6ROoerUuVH2RJSr491AwmpKSsuuvB2ffNmVgYGD3pkOBC/aSiS+mNo5E3FIpOCcnBx7+7NgBF9FhEfF1112HrYLwzQ91B/Dtokw9SykKGZWVle+//z4Aw672vUL/z+07DrQeO5Pxg8Hgyy+/7HA4KJ8dyoGIvBzwS2hlJA+aRDEpUJCw2qAmqgz9LZOdZRYKcBaw8QDGmwAayO+FxaLP5wuFQjIzVtGWMqwLoXFRIlRliCjzjdOWQH5TDgYqQQY6wyYFyxM3sMARfZQJC4LZlfDy305VcMoAEJnqBlGCDAflGaiIZSN9ERWVToh+oMlkkmoHJR/Y1YgkgvCzBAaN3EdC0tVfikwVKOL1evs+hNAu79jdvrFwIdhrzLBDOUm/wKgyji2JhbEJNSmFplhgqZ1JqYoVKRKZnLEkz0tS1YrEZIxkMfYOTFxDCm0BqagJfSJMI4d9CkbSvQJBEHZgS4eobynJ3ai4kyk01NbQB8IGWOMzEkMANOBDSBdtYJewOoKyMwcRtMxNjklJEiDD/6Ge5brrrsM9ctLT0/1+f8wbAztG63Q6aPsE8iYyjygawGAwiLtog9QJWpcbjUb4DellThq3s2M9mXj66acvNbV3946/OPtqnU6nVDYUDocrKyvx1YFnCUndkJXWMuAREDGJ5clUS9pOiaojZKyxhfM5GAyCJxF8L+4sBccA3UXVqRrAiA783S0WCx4EMNJiLNCPB/PCtNQ2M5KiJs3t0s+3FCxDEMsQc9RjUxHdRsEEkjlS7bgB2BCesfItF4WMpBAXx0QlGKGztHek4Lzwzse7+YqKZalWT9TogaZVRi8YEwnKY5w4iymoBZCUxyMjNiRLsSmrVRJ2UX+VOnfhZCZnLNmOSObuUBTk6Y/8OnPkgQvJr0hEDEKNb3l5+VCoJB5OKRhrEigSB5vmiL7LbrcDCGLBcbClhnfVgNICRCMkmiEx6fX6VatWkfJhvMcNEmP4k5BXgm0rYXfCFStWAFEVEzJLRU5Ozrhx4xhZaehNCUQ27oJKAU+8rm9wn4xEol8HL3Q4HPLQEtLHtm3btm/fPmfKNZMuGy98huGuqTGzoSJSWMPlF5mFsZXEyK8zZy29JCZ8A+yGt+BgBSCsXsXud2BBZTab8YAIUzBVvUIZn3Mcd3RfVyLEtrBxqoIiU5p2TSbTeYZGz6sUTM5LURgoZS8Ct33MFEwCxraGvrZPT+JPE+WhMKFpMpkWLVpE/knpcxVbnFDwKtEiyhUrVoAvOHyvVBMjnIJxbKgcbzKZZKhVQGqicF5Fj1h1WFjD/IsvBwxUTDG4lAZWaoRhclIMg/CsKVcN/Pns4nQVafGjf9/fd4NP6QrgHPK8yUhsCsZUjmhXwbaGPlJmS2HD66+/XjjvEUI7d+7EJU/UFjAG0TKrbOi+g9S2AoIbT77OlSzKUhSimW8JXcAAACAASURBVB0iEolcamqHHj/RnvGtx2x+v5/09KmqqsrNzc3NzRWmYIRQS+uJHV9ywj1JEqnhSiRypRLTOUgqp9fU1NTU1PzsZz+78847E7pnQnLBUiE102CopWoagRbARkXCQSNbUlEpGBYN4KlEKq+lJPPqArY9KHNI0qlVq/w7lKt7kylYAeUnzMKAeYX4C+4NsjRLFGOS3JlQ40k2hsEKBKmtdjgGUeEEWc7HsgnLQunKU3jU+tHj8Ty/Zmq66TfvbXxkkSNjz5H5YEuPqbHVq1c/en8a1I/JlJ89+dIJiswlkZqwWQM+C6V2SxSznGi3JpYBF9KsMfUD8iMAQ4cHkEzBQk+lRBS2MTZg1WT5lcyS50MKhqmJDUeoh7nQkwFKzvR6/fz588lSC8yjfdP8LSzoSHcbCqXidOnz+erq6vR6vdC3GwwVMfwEjAwB+iR2yAz6aHWD8/jjj5M7eFgpbLFYuo5+8MSzW/Eu2cMPPwxn53K58vLyyI6ZoOvKMrSKOpMdbR91tH1Ub8ps2PoX+uyQWZhcL8+ZM+fKK69kP5ebb76Z7PD2/vvvJ25GeTwer9dbYB+92zc25usxR8xx3HXXXSdTUQbTDxQLousAaMyKpxlOu7B0wJ8Mpovdh09PyzdbrVaqFlEpFN3fGLh2Sd4XH3+FJ3+CCA0wchzWYtthFKMG7ZvMZjPkMgr2goc6x3HUehCWw1T+xfAEpqDNZoP8S2JVIVcFi3R4GZVPn332WXRWNAa3KIlAAUfLt1mkjk3d4JAu6fgAgIotLX2H9KLDDxjYkeN5Pif7jCHvbCuYo2c8+dKJhYUZVAXaF3uO3Xr3n5YvXz5//vy///3vQh2C2WzGbR9JUxilzli///3v8bKjqKhIkUiOkUoGroPn+WV3zNDr9bt9TOsM8sEQs6IXZqOUoA3SE0wMfHZQvQLXEbYo0K+aEELQTEjd3MAKd57n0yeP9Hg8aEJCCtiopWcyzkMUTCIIp9MpemOT+llYu+GJCz/sbwyA8gFbAQB8ZuxqIUR/Xq937dq18LNOp1u1apWKKaiJqx7IWm+//XbwecBbYZs3b8alE5QyzOfz7XX/N8a8tc7OkamTR4yZDI3NO0K10WhkafFk+Otvnmjq7j3zShmzLvyABNgFxCWjwRiOrVu3vvPOO6tWrbJarSCqZYRUoF15+OGH4ZEpGi6Xq7q6GriXCcZF/f3927Zti5ngsGQY0jG0f5d6F86koEKRf2B4PB6gHaAeT4XTnijPixDCCvfE3YygnddczJuMIZ2CMZCRYsdgFUyiQrwuJnerhBU+7J0KKcknoDYVjWc0bHoIt72oJgTYVVFlbmNjY2D/3xY5MmqdneZpP6VOHzdXRz/095GhaKVafypSRwiRL6PcG3zNFxZmtIWzZVhIGBDyLFjs0/CMqqiowFSPqGwLF9fFNKj0eDzkNB7zUW48FC226Es0z3sey2yHXYzElVGDHGazOTc3t729HSHU19dH/unMgutsntXr9dcuyZsyZYpOp+vr64tGo+DJItrZ0O12h8Ph48eP6/X61NRUqft84sSJ5JEUFhZOnjwZutmzY/ljx445nU7q4FWHTqfr6OhACGVmZlL5Ky8vz2azlZSUiA5jd+/4pqamkamTr7/xFvjlfz3/m6Nt3XV1ddu3b3/mmWfuvvvuxYsXT5o06Z133oEHWHpq55SpM0VPVq/Xt7e347EF6x+gI4AfZEzB5AjDyv3YsWOBQKC3t1fmQwwGA8dx3x5v7u7NiEaj2dnZUhkkNzeXHBCj0ejz+WKO8L59+xBCqamp+EGu0+mE8wTILvD0Ep6az+dzu91Op5OyCvF4PAsfugreLpyckUjk448/Bq8PsntLoC560YxxmZmZ3zR/e/y7bwYmnEgQz6vT6TIzM61Wa0lJidVqTcLeHzsKRj/0KKEmK9kjq62hb9l//qO6R71UhyhhAzRFtdFk6zytIDDs/8h3vQXyt6amBkAcXt1j1Em2a9vlHQsDeCA08ZFHHoE//fpBy6QLTyGEnnzpxJ133iklrSepFSh7gZ8Zu2TKFCtD+QZZUS06Merr61W0ImYx+aZ6RQtRMCDEESNGYNQP5TB4ww0SNHAF/RnfhXoPQP7FJkd4xxgo9ZSOtDk3XrZ27Vpglnmezxt3Q3/Gd5MuG69Juxb5WwAhNHT6pCVj2BAR2EssZqdY9hwnLBUVVvoz9oDQvL0rgM2Ypbp40KAISsgniOqCP3ZfhtPZ3978JeaON1SOl1rsS6kjGMu+Y45k4hpss1jbiHJcVAoG8yMk0AtCxR2pNGcUnMnoDhMUyTKK4ZGCu7u7L7jggsH8ShkISe65YftEvCuNq/hV73WAHzyARyHsjWk0A4XXmvSgJQN8JtnzUWlp6b/9M5eTnSbModBx52SkAf75kysmvvZehES7r7/yRHrqGdXw0fZR3xwfJeX8QJLCirIwezWzOoM3mRDWAUkZLwi7Ye7edChtVu/27dvhLXji4WLinJycT1/dl1UwBtrtWK1WvFPHok3GKRg8dBKEeWX6ACVjiKbg9vb2/fv3D9rTUgaksENdqMWMc98DYA7V6Fs+HcTZMkf0RFgKsoUpGKgGeRgbDAZBuUV27SUrVgBNyzhDSmUW+a05pUZLSHmZOOPUEm2oKuOGg4XD6KxpHGW1KjXa7BNDRdNulkgWUAxvIgKkWgmVBEoZ9+C7QgWwhY6ZuCmRugwIjR3hxGXoYG3JB+wGib9X0cjDDc/zvMViidkIMs6rRuqycfKCZr1Sb4nZ6VI4tuFwmHS9UbGuIqt+LBbLggULmpubheafMPJSFeRksTJuUaxUtkXW0JOwN87urlSAIhOaeiRJ3mEdoxBCBoMBqi0TZ7AirLDA0dbQhwrUKB9h4wWK7tWRxXh3pbq6GncXlXfXjj8oCKmiF86gQR6DwUD5f2J1hNRhh8Nhpd+Cy9DVwWEKqmMCVDT/LlmyZPPmzVIfRfUEQqosT4WC9wNbOqJRzaqTGXdEkzGcUDCFR+R3qxWFy+WSMZ+W965Uhy53bzo0+7Ypigq68HIV0Mq4ceNInYDL5VLd4ogKh8NBgqmqqiqO4/r7+4f4ngkpM4hZuKy674m66UceG+XTRP4Jd64Kh8MyT1PYWMPGp+B0oygFC6kbssIlnsd2ItzQkzFUULAoHlF6sWH3htyEldmjgDs5Go0KQQdWjCvq2oJRbVbBmFAoBGWdUg2TqAB6DguNwaVfW2sVIXIBIwXQewzxFLxgwQKcy2IWLgeDQdGZA44WjHCYZTVGlZBQI0yRs7hHnMxqbO9T3ehXPMdxbV/3ZXFqeC3YC6XmMxQWqxv5pKThR4eCSTwSDAYp5ax8VFZW4ntSascDt+YWpW5F3SbjabWJGybFdAjEeFx0A0d16HS6vLw8IXiBPhT4n/L1uEMhqEZnJHEvbORBnSw064Q33nfffTL1viSbAYSGaDanWlUB8ys1FUm3SbIFDjVPSAN1aPOjlIgQVhWqswaGzYmkjPdHioJJPAIdDNnpORITSaUwSHPCeSnztAdOIC8vD3ulKwLFCKGsgjFtDX2tb/dkXTNa6paAmgj0QzOXOEPmpPr7+8l/pqenD/FZQjr4UJcgJrzFTmk8zzc1NUml4NLSUixzxqpB+cY/wkEWsvbktqHX65WcJxO+/+ecGy9TqjuMP/+eT/0ok6FBCobIz8+H2yDm5CCNymTQqHDbjd3/Be406HWvtLlhVsGYrIIxOp3OaDQ2vLJ36sIJQg4arFsAusaJfK1Wq7wwMz8/f/v27bC613Z3BVyHSBWaVpGbm0v6MeIB9Hq9GLLF3Fr0er0XXXQROtsjCgfgPp7nfT6fz+fjef6+++6Dz2xubo5EIt99953T6fT7/dhbR2imDnpz/E9KthEIBKiLDmchJGr/9//tUJQ9RfMvI/kgoy1Jxo+aiBBmWPksLKOLlIED8WQfFaCYzPscx5Fd7snfx0NEKCLvElEhBk5jKvyGGEPqQsOlFE3BVVVVJSUlUFEt9WygHuFYPIs/DbeeqqioePHFF4XjTOFf0QshfE3MVgAxiYg48W9Sz5sM1gJl0VomqikhFYaTWVDkJg8YYaKr9ocGo3QVsuLuw6fn3ZIfDAZ3bzqEyWLoZNPS0hKz+TnF38kYO0AaIgsiEnfjlZeX31PS9T91FydIL0yKXil1hNFolNpGA2sbirEVHjmUPvI8f/vtt+PJEA6Ht23bRubKm2++mUSOFDWMJBwmqVxJGl8IkSm5qyGTgoX5l70LchL/JkNZCibRCm7QorlVQpy4OB4Bw96nurOuGY29KRBbFX9MlARuv1DMBgG9LcgsDA6NmkBXsICAJkaJy/JKrx279nnOnDkej+fIkSP4o0BXQ15ZCkpL6YJlcqW8ipyxGjue/JvEv8lQmYLRD8WbQqtyABcyEIMlqaE4vJ0CgUA0GhVtGBozKA8t+SwcE/kihLZu3Xq6+9MC+2jq99cWv+d0Og0GA9zGWYZWjuP2tFxw3333aZKCW1pPdPQ5HA6HJlMEN3DCI0xafOBrLZOtGFMwJHdcukLCW1jlWCwWqvUUKf7lOE7o3B8MBimtGM6wIBaG7kQkmGBBwVTdoCIKIol/k0GG4sZFpHY4Go0+8MADy5cvh1Rls9l4jo9HCInObrjje0aql7j84VmtVtzRgP2r9Xo9NvMmG7hRwU74+v3+e0pGC3//SfWtK1etQggtLMy4pyTjyZfGtoXHrlgRb/7FjGpOdtrH7ojMK4FahXOMCceampqqqqowyDWbzQ6HA+cs8lqLploo+1YBDCnlmTAVknhcKldWVVVRKBVnSSwWpoIFlNTV1QlnhQcxTbZk/k0GGSot281ms8vl+uijjyBF1tTU5F44a8y4EZo3WYHNMa/X29raCu5WUkbsVABOz83NnTJlCkLo+PHjLO+y2Wz7GwO6rLHQRI7jOLBRxzftFVdcIe+mBuH1ejdt2nTTNVHdBf2iL1jkyFjkyMjJTltZduDhhx+eP39+/GO1Zs2aB5cZz2R510kZWsPtdv/xkax/uHFm5NvgW2+9ZbHaZYh4n8831Xisqakpc2I2vAzappELIGjek5mZiRBqaGgAvy4MGCORiKIFTTgcrq2tJffE5s+fT153QOKRyJnHDABnamIEg0ESqIJKAfz1OY4rKSkhTeVJSgGE5PipTFkqU8d2Zi3ZkcZ3HWE5NYfDceGFFybzTjLUo+Dvodwnn5B34PLlyxPX5Arq6PDWHzsOhV0+s9m8YMECFvKa4zjun773yoJEDA0UGJMIbjL06P1pjGfHUq3A+PyodZ5pn5xlaJV/5YbKMwTrsjtmVldXy2Ph2dae2daUlWVrcPOkJUuWYLcguO7bt2+HnnUIIZfLFc9JkfhXCG/l6+IwHicXQLgaE6myfZA6Noi9T3Vf/ivWCyTlkZ+MJApWHJMmTfrss8/w3NKqooERGrvdbq/X29fXF4lEenp6WNQUBoMhLy8PjnPMmDGMCoqJEydyHNfb29vb2xuJROrr60OhkGhDHZfL9Xn987Nye+76xywh/ysVW+o79Xr96NGj4zd4zcvL+2rPR9DQfv/Bnhkzb5B6pdVqzcvLKyws3LNnTyQSTRk5Li8vz+Vyvf/++zqdjoJpgIIBufv9LcbJV8Kh6vX6gwcPYvYcuznDIxN3OQqHwyzrBkb8S+Vfo9Eo9KnYuXMnVb7Rn/Ed4F9RvEyhYHIng0TBoviX47gLZvWynNqcOXOS1cbJEMb323FQ9aDI7Hnr1q3PPffcIOdf0QCZvaJNPGGTG3JHG5T/WCoHHoy4N7toJ82NGzfeMl9yNQpthL5/gF14ChoIIYTe2zKQntoFzY9VdOuhMPg9JV0IoaPto/7zL/6YNRogK8zLy3M6nW+99Rb8sqysjBzDYDD48ssvY1Bf6+ycbFkKLIfL5XI6nZCFsbsjDhCHsRv3UBt9lA0Q5UgpLM1AYpbtwuORGjdyLuFjwJBZ2GeAfc8ZxJcJUmon4/xBwXV1dX6/f8+ePf39/Yz3zPHjxyH3nfPTgLaeoVDI7/e73W6oAJZ/lnzwwQfUcpKEM7DzjuFSamrqmjVrSGIEetuQnzBz5syKjXtffbu5LZw929pD/qnW2XkgNPGb46Pwfw07j2Ok/PIbrfsP9hRcmTl3Ju9yuS/Ovjqe9cFU47FaZ+cHn/Q/99xzLCsDOIstW7bgzLVt2zbySWAwGBwOx+N/+ggOOCc7rdbZASXjTU1N0AoTxLzUwiIcDlutVtDPsOTf6upq3AtVtPIYk78Iobvvvpv62MbGxs8++4xsPEo+U1esWCFzGCQKzszMxB8CKJg6NoiuPacYU/BNN900ffr0ZK5JhhwKpnhSeG7HRJQs3RLPbYianggVRZSiU4prBnszKRRM4kr4tK72vempXW3hbGGbCehQCS/YUt9ZVlbW0tLSEapt6xi94sE/qj7fYDBYVVVltVqVKtJI56CioiKhFzh5wNAP6eabb6a8ySlVFqi+EIPrXjgcrqysFMW/YNlDIlChL4/8VJTv8SFEwSS8BaGbsM8Wo/4MRiDp/JCM2ClYSm8vv/HF0jJr6AQ+F3lRvcx2DdRQCJtmxhOUF1I8frvxH8kDDzxQWVmJHZoghEY5FRUVFRUVlZWVZMmf6MMMsZXbkBOJmnIslRfU7CXzI0v+RQJ9m1azmvHbk/FjT8GiOnPqvrJardRmbiKq4wYhhDcYVSslwxj+qAJqcGDtDwMi2k+EQohUV/aYBmBUeTGFfyn5gdAkHgAyJojJLlaKEKgUF8wyf6Twb5L/TQZLjEAI+Xw++RfxPO90OsvLy9ll9kM2hDvaVK1qMv9CmM3mGTNmYIM6wL+Un47ZbKYezFR5IX6vVJBJ1mazkRmWkqatWLFCKH6oq6sjXVLJLoKqGYADWzriH71k/j2/Q8NOviMfe+yxuro6aqtBKvx+fzAYDAaDY8aM4XleUX+gIRvUuUMZCEIoKaHHeRbw5sSJE81m87FjxwKBQG9vL0IoNTVVr9fv2bMHvxia/eBRhc4gwWBQqIelNF6kZguqKkhZAiVNE749pSONmzoRrNYtFsvcuXMV5V+SmLpoxjiZ24FFy8hxnKj0LRnnTdR9+PqefYc0ecqOfPDBB7/44gv2N0Sj0ePHj/v9/vMg/+59qnv8lSIZORqNHjx4EJQVyb0UhJDBYJg4ceJXX33V3t4+Y8YM/HMwGExNTdXpdOTaIhqNYlEBLNtJmTAOSv9L7rBRbZuXLFlCpbPGxsYPP/wQZ8O9T3Vn3ZAC/7TZbNdee61SkbWUIoJkVNjzr/CAk3GexTdH6j/5rLW/vz/+WpuUzz//fNu2bUNBWDbIwa7rFKXCh0WEw+Fnn33222+/HTduXGlpafwcS/hs4Cab4MUBNjo4pcLYRiKRefPmQZUEuTFFkbykbT/VW0i0lxXVJT4nJwezH6IdRZWuK4VqB/Y+s+wtCJIxFG4N0oersLCQUT3p8XguyXTnZKc1uE9GItE4Ff2j4NmeTMEyASIz6OkZT23r4Ed9fT1QsdFodP369aorIUk4DNMUN9mEHleQiIGC8Hg84dFtPg+PEGppabHZbDabLRgM4hQsVX9MVRWLygmElqQ4/ybO/lHYZ1YG/yaz23BJwcFg8Jf3fr9YefIZt5TSlAyoDwD72QL7aIQyEIpsqAyqJyKWL1++ffv2c17eNsihrrViNBrFhdEDAwODD3ZcLldTU1M4HGbEs5WVldhmaGBgYOHChVodidlsNhgMu3btAo7YYDA4nU7gcMApgrQ3ghQWDAaNRqNo/XE4HN69ezfOrTqdbubMmcL8W1lZSfalJxmDxYsXx3M5pAqUc3JyyBOJiX+T/IOKVHhOBg1aAYChCkSBfXTFxr0IoVAoFAqFRG+x8vLyhYUZy5bSgHVLfWckElHXhDfl888/16pV+3AJDYWf2nZ+kw9oSoS/l2XhQ77FZDLFj4JF12UAtE0mE/4uakaJ2i6TmJES/4qOqtQetCbYU56ISOLfBAVI0akCn8H89sD+v5FZGCG0oXK8cA7jdgrl5eWzcnuo2leIlWUH1PVsHDVhwoSEpjkN812cARJXvV5P1rnGGZB0oIZKRe8l7GbLkk9JpOb1elneAq/xer1Wq3XatGmJqPugiAh8raH/G+4CJwwowKN4YVExL9WXkxL/auLzSQZ8MvktLPg3mU9VLOlqamo+qb61tLQ0EQ1nY0Z+fr5v31bql2CxghC6p+T7Tjf/U+cDHyuPx0P+XpMYlaDTI9PuihUrhkIdx7vvvosQuur4HYzWgopOlsSnjGmutLQUNzQqLa2OOQvtdjv+Fr1ez9iKYvHixThZg6o3EbAdEnFjYyOo0ID/9Xg8Vx2/43JbuswbKV1wzJ6b0F+KFP9qSAfxPP/444/DwXMcxxXEZueS+DceBPro/Rn4Kg++9KixsfGTz1pvXRg7paalfAnTg+xANtRTMDmty8vLAScC4wwW7Eq7bcaJf2FfCCH0ueftSyI/S9z2Y3V1Ncdx4FkuIxt0Op3L7piB0JkVzbI7ZjidTnljB2gjDwlu8eLFAwMDzc3NOAGxzOD8/Pzm5ubETff8/HywyIACM5vNhmzof9+om3TZeCEd4fP5yNwqWvnm8/m8Xi9JEeA6GmgYGueJuFwuXAEIM1OqVYpUJOsvFIXP5/P5fP19h0/3HiYZAJ7nBy0F+3y+urq69NTO9NQuRSn1ZKQBoYzhl4LxEAPYAaQDEzfOhpvsQZXMJloBgk/W7XYLQTE09FxYmEFOwVffbi4rWyr/sbm5uaJ8P5AAQMjGxMUzZsxIHBaGj4WHEERFRQXkX5KRgPGhOArRyjdy447jONwZiKqjUwF/8DWKJ5ItOOUD2heQvyGmfca5OqQsQ+s9JRkIpSg6BqoulIonXzrB0u33XKZgHNDhxmQy5eXl5efnY9wUDocTZ7qG0TeEUqSjFSj+as9H6alder1O9NmrOicCCQBy3ebm5kgkYjKZZIhpGPPEnXJxcXF1dTXP8yTnjnlhMveRWbiyshI3VRO6Q0QiEfxPh8OhTqPtcrkQQsFgUCr5Uk7BMRmeZJIVDWyqd6npFCNzOpii2GlTxrK/+Gj7qKPto7bUdy5E9MYdGXa7XfV8SPH7/R9//PE5uVRC7k9Fz01F4JTl1kpoYLIfIbShcrxMb/b4eS4ZUAzjnLgmDljhgE8QeGGEUN8NPurpSF4RwJUyvmVKgSecqSLMC97zpMBD9JZLUhBSE6+iooJ9gV/r7DRP++lg9hOBLuMsr9xQOR6v2D6pvlXmlSvLDiBBr4NhkIIhRLvBAzTGZVfn2TSdldtztH3UiDEXg51xnChYJvsA0SnqcwZ/ZW8ppChwB5ZwOLx+/fpQKKTT6W6//XaY0DU1NbiIg1qRUC5lbQ19Bf9yOSyPwHiBRRANkwf9UEPCHpiVFvrAJfOvfGzdurXr6AeMCQ7y7/hJNwndnxMaTz/99L/dfTrmyxrcJ7/rnxmJRC4YsYfxjP6n7mJo9TDMUjC+96xWq1TbJLilz7+MDJWvg1D9LJqOASFOnz7dYDAkbo+OlDTodDoo3AB0DCyEKD7lOO7ovi6w3UEMDqIwQ+AcVZO8oluCFCWS9DKV4Xk6+Vr2rom1zs78eQ8NphCisrLyVPTTn1wxEfcMk4kPd+hHjJkMhcjsrMUXe46NTJ1sv2oJ+3kNlRRMhoyuK6FMxbkNyEeDsCLDGwuASTmOq6mpIY+B8VBZAnhnakWPyQePxyNVBwHccUzyQcP5INOdAPMqyf03mSBFlowp+Kd3PT2YR1hVVXW9fR8jBWG32/v7+4W1GyyxsuwAruaInYLb29v/93//d6hBS3DG0el0Mrn4vGQqGFtGxRnQjTQSiej1+nfeeYfcgxo0rhy+KxKJfPrqvv6M78Kj2/R6vU6nO7E7NX3ySFwiLGxTBHuJ0EVbw8kmsxABLMxIgyRT8JBNwewHucs79kt/2s033+z+fPPp3sPTpoxlx8IQ720Z6O7NYNk6PtO4aND0YRoiYmoRpNUNOezOPU5yoKKiAqNajuOKi4tfW7rtnzfN6+/v3/Lnz1U4aahIxLg19civM2ctvYR6DcaeCVoDJbHtYALMc5uCRYuSZcAsOAGsXr0adxBXFE++dCKm9c+ZDspmszk3Nzc1NXVgYGBIgUroiDwwMCBviwMqN47jcnNzzxtc7Pf7E+Qf73Q6ScWYx+OBqjaLxRKJRLIKxoRCoTMdSPecglLdafnmA1s6dDodN3XiN83fjhk3guO4A1s64K/dh0/PXmDt6OjgOA7YXkivlCIbIRSNRsH7pvvw6Uuspv2Nga8+PBIe3QavCfUesFgs1NEGg0GXy7Vjxw6/369tsXvSW1Kz1Pbp32ZMS1H0lv0He2bMvGHwDzV4qJER0i5yZJzuPfz3Gm80GmXnuMm4KPPUp5/Uer78ZubMmTFQMBUatuXQ9oZRVAw6NM9CdWi1EU+teLDsZjDl0lTg49m96dCy//xHfGC4XDgm+6zCiiQpbNBqRbVmzRqq1GjIomAZn52Ehgw7LJ6CQefv8/mGWo96oEpBRcDyeuGO9nAPjuNMJpOUdIRlQKhWrUf3dUEBG4TD4dDpdPIfwjie7OU2fr+/paWF47icnBzggqflm7dt2yZPUtvtdr1eHw6HMWZnD6PRiCtBkqESTgaDVVVVWYZWFRtWtc7OUbprBvkSuFyuw/5NKo5Wk2hwn/w6OPGuu+6i7lzxFCwDmoZOsFClw7TNM2PIbOJLBWULeW6BIUwtUvwgCo2pFEyetfzpaDhuyRBeu5qaGnUMKaDCsrIysD/HFyXRnkfl5eVkbdQ5CaGnZewUDInM5/PFo7hMKCSUzxrnd5UHrn5mwcXCBxKV/oSP6EQELLBianj9fj++XjfffLPRaIQsDN6YMks0+T5DLM2Nqqqqmpqa5syZk6xClgqlmwYLqQAAFRNJREFU+gcKD37XP5PneTIh7vKOjUYjkUj0cvu/qvM+HxYpGK8A5syZAwiSKQUPfVDJiGuGLKLXahBMJpOMjE/+2iUaG4IeWen4C4G5PPIF1lj0WwBKs5wjmLlsqe9ktMZPpmAVYHDZHTNEOdkNleMTpFEZIikYnjevvt0MBc3KUjCE1+v1er1DEFQydm90uVznKyjGaUsIiisrK8mm1xzH7W8MyMhv4w8s4EXMtcKwrMFOOuStGBP5QnWlz+cT/S6l4of/ev43y5bq//JqaPoVNySzsPhNdKjxdO9hGFsNN7i2NOjyr7klERLsoZOCSTisJgUz4pFzsipXyiUNtVNIECgWwn+KgtAWd6gQ8Moz+zGRL2BbKXm4Co4bC13TTb+prKxMZmGZa71mzRptvcwTBIRViJcHIeIyq1yyZIk8NhnkUOG0AKcADfvOs1zs8XggCQoFW92HT2PvXXS2h1A8AbIERWsj7I8hVQMJiy1sKIEQysnJoVwNMbaVkb6o22MsLCxcuar6osxT7218JJlnZSIR1UNzZ/JVVVWaP/bC4fAQHMBR8V8As9m8YMGCoVCfps7sBk4Bfj4vyWIqMdlsNp7jSTf0eFQQKrYHYkpZyLlEHvz27duLiopEkbu2+RchZDAYzklDs+GFf6FRgOaRk52Wk72vqkpjU2YNm0YOoRSMA4rTotEo2WlxMKO4uDj+D8nPz58+ffrQ1ERrEjqdjjLPVdp6EitMELNAGFA2x3HyHU6Bo6c+k7xtQLBMuZvu3LlTdAUj2glUXbhcLvAzSpZykLFu3bpZuT0IoYWFGUP/aFevXv3Pt+qH4IHFxQVriIzijAQpCs9jYzaMiBlVECr0DOwfLjNhyAeGzWajKEKZN8pj7UAgUFJSYrPZWKAubOPUOju31Heqs+U+X1HwmjVrpIQN8cfH7su0QsHAAu/yjt3tGzukduQSlYIhMJc3CKehupkN41QbmrJopdHW0EeakMWsEMM2zSyAF7hdECljAa8mA4u7DlKSBpfLJdoHFoQxUOEphbsDgUDjtj8jhA6EJj7ySAy2d+PGjbfMPwI/f7hDv+TWf0vmXxzsTSgURa2zU0OBMDgFj9JdEwqF5s7kldqeDdcUDJHoWmcorxJtvZGgc9HQJnEwo/vwaZx8kYRIKxwOu1yuSCTCvqsGjT/0er3RaGSUfCkSNcKVFWZSSmMnJB9+8YtfFNhHt0cvve+++4TEQn19/Y1zIznZaS2tJ154jX/44Ydl7vZwOLxq1SrY9G9pPbHjS25walh+zClYWEUWP5sEPJLS1h7DPgWToa0CDC9RKyoqfv/73wPywn4uia5AHe4bd+SKXh3JIFMGosmgSTEJ0IIaHr2irefgi6r++tvfrlrw9Lpe8AIkb8Urr7yyO/iEohueqkRIXPnAsItEiG1jNpSD3sw2m02doSs0uEMIJY5FGaIpWH79qDTIAla/33/77beTf4U702Qy4Vs0ERgZ19oO8b07m81GDldOTo7ValVUtw1FEwghpVtSioYI2AyhOTp8CG7EiR/k0AmJIlWcTmdHqJbn+S31nWvXrqXgrag4FLCwTBYuLS399YMW3PCmwX3ysjn/mnRwp5YIGqbg/HkPNTU1nYp+emJgJjRkg0ofs9n8+itPTJuSNtvaU+vsxH9V8S2BQKClpaUjVHtuEfGowf9K0E7Ev82l1+tx7hCazMJdSoJudcBNPgwGA6QkodJg6ERbQx+pAkYItbS0tLS0sKdv1UuKxsZG9mER/SLhjiglU7NYLNQbvV7vPSUZ1xZvbWpqYjzOmOTg+vXrSd/uAvvoj91NyRQMt4D2MzacbTabG7f9eZEj48mX/Nu2bSMnyazcNICuixwZCB1ZWbZGHWVxVo3quPnmm/+67pofEQrGAbs9qhFxJBLBeURRxx1MX+p0OnmZlIoAllMTmK9VUG2JWXAoJBfVlpgwCCyMuVQD00AgEI1GRbdzyZweiUTWrl2LUyHYJ4Y7mqdNSRutLxDdT/f5fM888wyF2kDt8PQTK9957xOj0YgtVKg37nX/N0ZM58TudmhGVVXVyUiDVljyaPuoHV9yaSlfCj/wj2u3FhUVCamDVzdFSn76gGp0FQwGm5qaTkYaEFFs3eA+GYlEEUKj9QWhUOhIy3v/es9NLH0/h1MKJrGSOkRss9lwR/R4IkGatnPrGQ+9MIqKiuKnX9lDKd0vyqjGLPOBwr/ly5cLDxhIW3lulyJ2V5Yd8Hg8TU1NmNYEK0XhUJBvBIVTkhGWoXdUsxBt4WxRfrnW2Sma6GNyx+zURHV1dZahtS2cDTnB5XKtW7cOUk2C1GxDIgUjVcIJnU73T//0TzBwmlQYAyIzGo1GoxFpxB3jQoZB5iigIxwUFMi0nOA4Ds43ztWAImt8Kdd5RcXuc+bMMRqNwmtUXl4eiUSsVisFgaG8At4oJCjgxXhzH9KrML+7XK6dO/4+6cJT8LInXzrx8MMPJ6UR+Ip8Un1r/J/T4D55tH3UrQsVtEE62j7qtfciMbu0MQZsXQDB+LtHl/3mIct5S0TEiaREoau2QgVt0fGggWKKfhWyNBqel6IyHKnvVfQhSqF6eXl5RUXF8uXLAcU8+dIJnhffeaM291eWHRAWg2A4vOyOGUkUTA6dx+PRZFPu2uL3VKTydNNvEpHKBsFcbSimYEbwKKPNlGESVedidFZfEQ86hgNLNFkciUS2b9+O0y642wDajfP4KcTKWK4CHYZE7Xi2bt3K8iFKG1aRxyn08RLSFMAGut1uqg2ElFIiHA5XVVXl5uYmS5YRQqtXr/7pTUireoftOw5cNzd2Km9pPbH/4BlS+MTAzARdC6fTmTqwK6HCtVFD86LCZmVeXp4UPrLZbDILQLjV4XZVtCkvgyuRQF+BlKuPcQ7Ky8vT5MBEQ6/Xk21+4Aet+nQpWmfIqFAYP4fdZ11paiaPqqqq6uzB/ODmz8lOe37NVKFrl8FguPvuu5PJF98dOdmaidJY8i9CaP/BnkHYDnU4HOXlXoRQ4rLwqCF+dc1m84oVK6h6Kp1Ox64HgrsXUFsoFNIKe8Id6/f7VesH8IEloq8SEMEpHZoVYpLK3JgvBs2JcEAUaYThQ+KENmazmeO4o+2jyL1sGByPx3My0jB+0k0LFixIT+18fs3UV95qFv2QBPmBDZHlpupVkdPp1Ol0ubm5995774c7Gm+cO6g+ZG3h7MH5ouLi4roPX59tTUnQ5w9RIkJqugAijqfLZOKwZzzoGCXGEqitoS+rYAz8rJq1VETUyoiI2eGz5gIVYRHtx+7LEELX2/eBHE2+B/v5WgsHV1bdqUE3+N2+sSaTafHixYPvhj5oipTy8nKe51U3Kh32KFiIiF0uFygW1AVOEAlqXwRZBv4POC6mSSPJvUyfPp2ltSXj07saqfSrUypQAa5W9LnIrhEGpYRWbDUZ4yfdVOv8gS3AyUjDbt/Y6+1pixwZ8oLWXd6xlE/8eZN/3Z9v5vm2YDCotMYkHA57PJ57Sqa++nbzXXfdBdzXLu/YwSz2he9yOp0OhyPOj3K5XOhs2afL5XI6ndFoFPQV4XDYbre73e5aZ+tPrph43uqCz3kMglZBBTrW1vNTEV5gl/fKIFZFuD7RcKaxsTGw/29KywdAoxq/XDqhUVpaqqI8DGucVXhCkpuceIkAuHiQLRc0MbSE2x/W1pSuHHTB2pZfD2MUnLhYsWKF5iIKGXQMe2VgZC5zb5vN5rvuugvQqApQPPLrzNOXHld0X0WjUZfLxWgZARIL4fErEktwHGe32wchweXn548YMWJDpfuma6IsWAYc0ebPvyVBDdU1CfBgXFiYoYLSLSsre2/L67cuTDkZaQgEbKovwUWZp8CEbMWKFU6nc0OlN8vQihCaNmWs5p6QR9tHfbHnGP7kWmfnZAsX/8dmGVoXOTIa3LX/9fzfqWzr8/kSmn+TKfgH+Q6dFVEkGhRDbiIRrhQGBAYD3x6KDuzeZ25jf72iqjYZVKgJfE5Q5OXl9ff3f7GHxsIbKscLtZ/7D/YMZf4X13EtcmTs8o5VQemazeb5N/58Zdma59dMVWqzUF1djRPTwoLoyrJ1sIp3OBwOhwNWP3/9629/u0rjntyTLjy1pb7TZrO98JoHVpY/1U6IVmAfXWAfTf1yEHodJVOwOCjG1sCDU9iGc6W8IRmgdZ7nWUQFa+56Hu/FiRbIKRI5ANsrRdSyu99xHCd0hBi0yM/P93g8CH2fcP/yamj+jdf/5dXXp035HrK1hbPnz79Fc8RqNBq10q56PB7Iv/F8COxP/OXVENmRTyqcTqfXewbhzp05FqHvh2thYYbX68XXFBoa3XbL3ERcwWV3zDgQ0hcXFw9OT+u77rprw5tvJtTlPZmCkTz8BG2y2+1WlIgh5amQXuC3wP6VUBWLm40uWLBAnizG+VcUQ7GztPJwlV3nEI/jmoZhMplWln1fxzX9ihvy8vISXWEBRVYbKkNut/ubb7656KKLREFrY2PjAw888OKLL7IM1Jb6M4YJs609r74tLqcrLS1FCBUVFYleQYPBAMLtmOmsvLw8y9B6T0kGQiJJf5EjY18wAsoBmLGLHImqKJtt7ZltPbKy7MDgtPIzGAwrVqwoLy/PyU7UGSVTMNOSDexKobCNBTZizjcnJ2fcuHHwSxWAGjIyqI+hJ5DRaMT712azubi4WOqoiouLhQlatEWmVOaV0SewE75SjhDnKgoLCzmO+9h95rATCqZgncHzfJahFaGMe0q6GtwnswzfcVzP5vdeoBoghcPhioqKT6pvXVlWETMFw1n85dXXH1xmxFeEulJgsPv8mqmvbtqJ0BKpBV/Ms9i4ceOs3J7ZVjnEDR1Mpk0ZO21KzxPPbp2VuyCh+3LL7pihoZCpLZxNLoxg0pK4fv78+bXO/06QrXAyBStIxPAD4GIWjoJsFG8ymaxW65IlS+DGIKFuzIhGo9FolPwuslGb0WjEgjCS/P3Pgncu/1U6fiQwQnKpqgoI9p5DQDiIFiWf8/XNoFUVb37vhWlT0q6392DwWGAfjVAGQj21Tr6xsZFMtT6fj70VscFg6O/vJ8kTmVjkyPjbm7+cYFykTr+l1+sROib/mm+P7ysu/vnmd349e+GMhYUZu32JFajNtvZ85Apr9WnCDPvo/Wkf7vgYp+Dc3Nz09IdqnX9ORBZOpmD1uBjuZJZaD/wCp9MJ63FITPgTkMK+QcKkTHnxtDX04fxLPQ9kiAIZS3v2fbZEWOMP00hP7RKtqtpQOR6h8T/9IdR1u933lGRIQVphVFRUYDoF6v2k3gLWbrXO2sbGC1RwQSUlJfBol8mq6aldwWBwsmUpQvv+5c4ZFKjUPDZUjrfbjVp9Wm5u7jPP0DaYp3sPk89Is9ncmJhzSeqCtQmldcaAi4W+M6ASZ2xaLLe2IuriWI6E5DfIpTG7JE4ePv84A1ooiUInshNzOByur68fi3bhHflX3mrGD9SRqZNHjJmMn7I4z1Kux6RCFjzUMQTGr4mnLXFlZeVE/QGZLPzkSyeMRuPPF3cOwsCuLDuwdu1apTPN5/P5fD4h+/TWW29dcMEFp7t3kGMFBph2ux2Tzk/98cFrr54ajUbAyr0tnA23TFf73vTULuz1nkzB5z4XK60zltqnUl2yjEG3fDORmA44ipDvUNhqG5oh2mMYXMbBex4hxCI+BZtNLAaQScEyFovxFFtT3yiM2+79tKioKNHujqr7lcCwCN++evVqmOeiZ7ehcjxUbcDtQO5OY0N3aCCgTqOSTMGJxcXsppTyZpKK0DGZtYVytJj7bOyHfW4VZsMlpBJirbNTRf1CS+uJv32AiouLqaotElbvqHtOCpG9t2Xg5//yG9VTGvq5Sb3gaPuoo+2jEl0gpy4Fu1yuTr62wD66pfXEoeN2EgiLPiPJ2NKguzj7KmoLweVyfbXnI2wtX+vsbHCf1Ov1BfZRQn2xTCS54EQFyRezlEhA4w/4WVj7AJ9DTgKZz4T+3uQPOOQRUBL2Dmao29vJyU579H50271rqI6Tp3sPs7w9PbUrniktz4dOuvBUIlwUNAn8xMrJTnvhtWpFSpiFBdENlW7yBoS7756SFPJqctzYaxb8R1FR0aZqjr2mLomCBw8UQwE0uzEQS/Eu6CtAWYGzJ/Sr93g81113ncVika+qgA9hFD7DIWne8/THiYK1DRLcyaBgKLxWzUVs3LjxlvlHzvmQriw78Nhjj7G7CwWDwcceewynxVpn52TLUpxPX3/lCZY+SdDQsy2cnWVolVm+vLdloLs3Iz21k7H3UhIFDx4oRgpd5HmeB2GvTHEEfCyZWxsbGzmO83g8L774Is/z8kXAw66wIhky6PiF16ptthhuDznZaVDdqy6GyKPXZrOFQiH2FBwKhWw2G9ZpLHJkbKh04xS8/2APWewnFWcFhV2i9Sk4bl2YglDXyrLWWxcyAeEkCj7HuJjRyBFJiyhUBIBxRsIXNoWTIrMhjoIxBJt+xQ2H/ZtkWI5d3rHHIlPVdVEZCihYBZB3uVwnIw3kyqDBfTKDWwRZ2Ov1vvXWW0o5XPmgugQkUfDQxcXobBOjmGhUKC5Wl/cT1ygzGec8bl2YsrJsnXyJx2xrz4bKkLrPT0v5Uh4DDkKocFByu933lPyAmdHp9G73GSBstVqLiooC+/+m4amxc+LJFDwkIj8/Pz8/n73jPYiZsCV8zETJ/slAHCflvRqGyWRKdKkCGSwbQempncN3PDVpWQTGGrgK2WQyBfafm9NJpuChhYuxMRCLIpg0S5PBxUmdQzIEKbhr+B48uLUpf0uGcLavXbsW/5O9OlzbSHLBQzqUdlciWyWxN8oEljnZjz1BMfh91WKGUBvLGDEltINz8Eq54KFw2EkUPCyD9FFkAbOMrd7ISBK+P8JQoY1FZ81MhsbBKxB1lJeXz8rlEOoZmtcimYKHTYDLGlRwyOdiv9/f0tICVpmirSeThO9gxuLFi0tLqxPd/2YQwuPxzJ059pwfRq2zU1GPD+g0OmRHNZmCh1Ngv3YkLekl29NFo1FhCj4v+7EnI9ERCASGSC7TZDsumYKTEW/k5+dPnz5d2F2JLEqORCLYpsdisSRhbzKorMrOQXk8nuEI5KF8NJmCk5GQILsrobO1HhzHbdu2DYgIi8WSLKwYCmGz2XZ5B7vBu7YRDAaRfUgcCXtRHEKI5/lzJXVgjP8Pdj/SCi3cGWoAAAAASUVORK5CYII=)
12
Two criteria are used in past studies for determin-
ing a collision risk: the closest point of approach
(CPA) and ship domain.
The criterion of CPA is applied with two parame-
ters: distance of closest point of approach (D
CPA
) and
time of closest point of approach (T
CPA
).The value of
CPA parameters indicates the relative position be-
tween two vessels. For example, a smaller CPA in-
dicates a higher risk of collision. The CPA parame-
ters are applicable in a collision avoidance system,
which can guide vessel to execute proper anti-
collision maneuvers. An example is Lenart’s studies
(Lenart 1999, Lenart 2000) on what speed and/or
course maneuver should be undertaken to achieve
the required CPA time and distance.
The criterion of CPA is difficult to use in restrict-
ed waters such as narrow fairways. In view of this,
the concept of ship domain has been proposed as a
more comprehensive and accurate criterion. It can be
explained as “a water area around a vessel which is
needed to ensure the safety of navigation and to
avoid collision” (Zhao et al. 1993). Vessel domain
was first presented by Fujii et al. (1971). Based on
field observations, Fujii’s study established a do-
main model for a narrow channel. Later, Goodwin
(1975) developed a domain model in open sea. Be-
sides presenting a model, the study also analyzed
how traffic density and length of vessel affect the
size of vessel domain.
The shape and size of a vessel domain are affect-
ed by a number of factors (vessel’s speed and length,
sea area, traffic density etc.). As different factors are
taken into account, ship domains proposed by vari-
ous studies differ from one another. Many studies
have focused on improving the vessel domain model
(Davis et al. 1980, Coldwell 1983, Zhu et al. 2001,
Pietrzykowski 2008).
In a port traffic system, vessels traveling along
fairways are required to keep various safety clear-
ances in accordance with the port’s regulation. The
domain of a vessel can thereby be referred to as the
clearance area around it. This paper would attempt
to design an algorithm to detect conflicts using the
criterion of ship domain. That is, the relative posi-
tions of the domains of two vessels will be evaluated
before they actually encounter each other. If the do-
main of a vessel will interfere with the domain of the
other, a potential conflict is indicated.
A simulation model is developed to implement
the algorithm, using Visual C++ 6.0. In the simula-
tion model, conflicts can be detected for a given de-
mand schedule of marine traffic within a seaport.
The first and most important goal of conflict detec-
tion is to enable safe navigation and avoid collision
between vessels. For system optimization, attention
should also be paid to reduce the impact of conflicts
on network efficiency so as to improve traffic condi-
tions within the seaport.
This paper is structured as follows: Section 1 in-
troduces the issues addressed; Section 2 presents an
overview of the simulation model; Section 3 de-
scribes the algorithm for conflict detection; Section
4 focuses on simulation model implementation; and
Section 5 summarizes findings and proposes future
work.
2 OVERVIEW OF SIMULATION MODEL
2.1 The seaport traffic system
A seaport traffic system can be treated as a network
of nodes and links. Within the network each link in-
dicates a section of a fairway, and a node can be a
berthing/anchorage area, a boarding point for port
pilots, an intersection area of fairways, or a separa-
tion point dividing a fairway into two sections due to
differences in widths and/or traffic regulations. The
route of a vessel can be represented by a path in the
network consisting of a series of nodes and links.
Figure 1 shows a seaport traffic system we use in
the simulation model, where black dots represent the
nodes and a rectangle between two nodes indicates a
link. The width of a rectangle indicates the width of
the link. A vessel is only allowed to travel within the
link.
Figure 1. A seaport traffic system for Singapore.
2.2 Flowchart for conflict prediction
A seaport traffic system usually involves a large
number of vessels. We need to detect a potential
conflict between any pair of vessels. For any pair of
vessels, the system will check whether they will con-
flict or not in a time interval (t
0
, t
3
).
There are two situations in conflict detection:
− Node conflict prediction: two vessels traveling
toward the same node are on different links.
− Link conflict prediction: two vessels traveling
toward the same node are on the same link.