data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAQABJREFUeAHtvQeYZWd55/mem0PdyrG7qnNWt1rdrYByRGIlA8aYYESyYcxjLwzPjHd2vN4ZP/bimTE7LN4xnmGwWRuPB9sI24yMCQKEDEog1K3UUsfqUF05p5vD2d//u1VS00hDt7Cgj1RHun3r3nvy9z//N7+f57PYyrJyB35GdyByvsc9bEesxn8X45KupW1taM3FeGor5/Rj7oB3vgzY5Lfbgi3+mN39bH6+LX+L3Zf8inme97M5gZ/BUT/r/6n9kX36Z3DkH3/Ijx/9d3bH1tt//Iqscd4MeF57+xmt9FoC3vItHrNxe9qeWf54Ub3P5mfP+3xC573myoord+AVuAMrAHwFbuprfZcXogmtAPC1jpZX5PrPXxd/+TrgCN6b47yur2M49CA28uXsLnmBlvIw+3iYbXTOO8Jm2/n8JT5X+dzFvl/HD2XfvHtq5if5/HN8bvjhu7biSOJ+FLiF+7lHGe7RDv5e4D5O8Qp55rdzzxp/+J49/6nCut9lu6vZLsnfA2xT4hVhu27PvPxZ+2lmP62sM+ab/yR7uJTPPc/v6WX9wVFf5rKfk3gHKNGFZ32rvaVs/jQAKrK/05x0fmm/o/yti+J/b4HvBLiZF47p66Yd4/O+kIV/v2z2XNj8v2CdK/h8iP3/Jy7y96rmbwhZqBtg/i6//cjyYt/9yEqv6i9CH+H+T3KPH+CefYr78Z+rVvsiY/Stmnlv477y2/OLOGKCdfg/8j3u7SHu8RIS/HdUrPZdfvgS+/nn/La8n2+zn3eWzevnt1+vmtfE+0fZ7/Dze31Zf7x8BuRwoR0A7+u+hcqc3B0RR1reRyvmbwuZd5ATfCfX+A+sWARkN4Ys+vWqldcD0ie4A1/gPX7WOXMPrIWXbs7y0swfM7Dfap7Gz3ND72Sb39CKK8uP3IEo3zwJ4H6Re9TJ358BjL8AqrbCYtu4rX/N5w/zQprYP4P21obMx1j1O/gc5xVduq9iwTey3Tz7uI/BWMPnm/ltA/t5ACmX529Ix/p5/xjwaefvn2B5+Qyog/4vAO1+Tv44J7MXIFa4AQ8CmGd57+cJynDyGS7iCOsAJOvmhH+LbVbxd5XX8gIL2t/WrPpW7uIlbDfEb1/kc42b+VFW+kVO83fD5pVY77f4/axNtQtuzfKeXpvv3I/ab0fN+3nu7RcggI+dc4PS3JYlF64/xrq9gI/7Ga1AHJdxb+/k/i0jAWnm/ymE8dfc6//K/Wfx/4a/Pwv47o6Yt4F9/wljAQN6vwWQn/3Re38hwbWfiAFrKc/CKbDEU6F3H73BNsFWv8nVfIIz5yL8nwdUaaha9+SlzKPbWf9D9Yt1623m879a+qw7AOXb2/jcC9T4yT/3ms/9rG1eS4vu7bsB3qe4R+/iBv0On8WCUn8kZT4BWP69bhLv+jxY/60yaoybGxi+WFoy3ON/fda952vvn/EZJtUSerZmlf/CMX6LbUc8q56/y89tf+4/Lx+Al3OilwA2zsUL80QVuZD2inl6ar7JU/QbvHdzwfcCnjv4G7DyvDjXty+wxesX5KHrOUpfPjO+9v4l3521+P85YqH7eQKH+fGT9e3O+nnlT92u/849/TN0NowO7z/xxVHG5JswHEZJ7d8yzOsFNCDYwe8f9Kz2OVjt96NWi/GePOuevveH773dwOc2t6n7p7oDXfxtjAWMWN3JMW+o7/eFNS7sr5cPQCwkLUuXxbtOHOD18P17l3/j/e763y+sy1+7X/jOlvaj3+sLv+1b/nvpHXatSS9ZWV76Dug+/h+IyKU1fDwI3pKH4tyN/Ov47br6t7XnZe/SWu8FVGcvAuDZCwfwb2J7Xi+1XEhk6qX38lJ7vxi//8kewovxil4z5/SqACC8+5oZsFfbhb4qAPhqG5TX0vW8fB3wtXSXLsJrXWdr7Wa78SI8Mwzwho7zPq/zzgccsAF8xBenqEv6Cevyus77oldWvHjuwHkD8OI55ZUzeTXdgcCJ4CP9Q3ZiYNzC4bq7QF53v4YTCA/1sjEiN0AohP+rir+K37SOPkciEav58Djfaanqdz5H+d6LsH4NPxo/aV25lLwafk6+KJZLtljIWYXfPY7DU8vPOibOWHyg+rvuY9e5KFKDc4Mvls7Q7SMcXnaQ6Mj44vhdu5FQ0Zv79exVnv9eDi7fwjV8euyXf62qg3m6Wp+AEtfDi5O37du32o7txN0CtAQOgPc/9JT96RcesHg85sBVqZStUqlaNBy1kEDJqGpAw4AoGokxMBobhg20JBNJQMSgLQEzX8wT7qtZLBazWDTMfipW5iUACtBh/ivXKjazOG/Ti7OEtMsWFgAF6kqJX31LxHRMgFsr8UY0olr/Pgow46H6+YRCvkXYfx1qYAcACcg+IR1/CeTLvrPldwFfKk8YcMX0Yr9emWsFgCXOz/dwBHtVK3F+ZR4QqxTtox/99RUAvtIPn1hocmaawfMtCnCqVRIcGJhYNGnJVNKxXr6QF8dYKp5yrOcYDdLIlyv19QFsvlS0ilgEYJYX5yxarbOSwKpXMpm0UCxuFUCVzRXYW9gaYor4w4JinRAAKOVgJj4DTCtnrchxa5xPCLbzeRgqnFMkEoUl9ZzrsfjhxYFNbHbWUgcnkQrOgYNyLDElUSTFzgGdyC6kB4BzrwE+r0qGih5C3n0erKAtgWPAYqlsswtZ99RLDAuIFW68F8lbupR27JLP5axUKsFOCcd6MdjSDSwjWgR4RX4rCyhxAAWb5IpK7yDAzn81MQ+gigKueJRQFYNbZZtMIrHEaGIfwACrCYQxv0zqXAWQiR3LVqgVYUeAEo0Bwnj9uJLVAFAPi85XD4THPpz41i/Pf1d/CPS5Dk5H4FYBdWzJdkKkIMax+a4mxi0WrVouWC1EthBMHLQlcADMFUq2kF9KNoTJNFha9FaYnWPgNDz1V6Uo3Q3xxOLEs/4Q6wlALDX0ulQiZSl0wBLflWARgU+DT2KPhQBymB3HGfhYuMpLrCQEACD+C/MeFQDdEdkfd9OvhqzINlVe2lbnp5f2KxGvl5YQ4jkaEajQP9nn86Bzv77wD1tLi9AhtRH/aF98w0PHHlERSuyzzAMFEJf2rdWDsgQOgJFoxCKIRoldxyTcaTfIgMQXOJZeAohHpgRj70hD+pQWH/EofRDyso7mNutoarEkDFmBQWZnZy0H6CIwaxzGi8FsVXSvKgPssUE0ykYh0p4QiWEvbBFAFPM5H/Zb9iKkN6ESgJQyupmkofRLgQXi41UHn5hZIBQA4zEf/TPh1AR3bjrZc5bnv+GcxW/67K6FdUkdRQ8UQHlo9MuLbH/O7i66j4EDYAqx2NOYQXzVjQaxB2NtuVLF6VuydLXIui3COiVEtoApg8ODQTKJNIwWsoaEZ62ZpKWRwpLEHvpVGzpbgYxu6XGRqE+SCDoghFUssR/YVryXRO8MsW4F0SfRj/wDsDBeCDHMoT1oUECpwWwydkpFRGNVLJewsvbD+ZSrBcAcNR+d1ItUYFb0TZkXHiLf10ucikrgl9yxxNqeDBo9X9L/wBoQdw9BnPOJAM5iOUdWktg5WEvgACjgyUBIwFACn1hQA1IoCICkbfFZ32u9HCBZzKEvAkQf5oljBWdSGCYwlACYjHmWAGh6OVEH00XR7cIYG9pXBAb1YEGBISw3DYDy/CLvRSvkZ6yQnbHcwgy6JgADBGUhLwRAAYdYrghTVhHbAqr0NxkNEVEvbOg5yz2OEVMy2TAupY3zriipl0cqIgMGy36ZPX2fJ4FzkQvIB/RVrHDHyqA+Fo9YuMI7kiFoS+AAKFdKY2OjA5oDCUCRXy9DfqGMDefjgwjEMDms0mQkDDswwgAwwndRFHWcK4hgmAlDA8HKC6aDbYp5PrOvMGwFjhGhgAr3RqWCkSKln2IdWcSzc+MAcNGBtcZ281kl3MJYsB71CQA64YwXsXIFZowhusEWeihHE8ABoVxHAniYY1SLZeqAOCBiXQwYjiTZJuHcSHqY9HtF2cswoQSvDyr1MER5KCKAP4qlHeK7cHQFgK/4A6iBXGa4ZQaUriWGEesxhm6RDihfXDLOoLBNAlYLiyGd0YBeV8zaYnbR8gASDkWEynmsjTFI8jEGNWFFXB+VCq6VCuJNFicgmBwfAySIRoC0UMiyawGDA7BdsQCDYv02olc28DDkAb4ALZGqNdwL8V13ywBwQFNBDAtWQmiJkoMqIjyRwg+ZbOAYEUvy0Eg9qOXQ+JyOJznP7zCf9OEY1yU/pscDFeHYQVsCx4BFxOrCwoITkRp43fwaQAmhP+VxyMrvthzt8DAsSmW5XXCNMIhZABOFQSKVBUA1CwhnEM05GAXxBpvIlxjGdUJtAWI9bNWI/IAF2DJvCfSrKlZ1tZx37JjPF9g3TArIwQNAK7q/q4jH3MIsakIKF1AC3ROTAfEpK9wDtDXO2UO0RrRvRP688zFy/qxThGErNYErxnnAbmwTdQ+O/IC4eAqwHCJeLhmOCBClF8qVhNiHeR0DBwyBwQMggFrAcaxIghhEYliM4mGFiogcC+oPljCREIk6AaWA8p8vzqMrAcJaFr1rDiMAIMMqFcSz9lUEEJGQdEsGFQCWy/OWSsfRGT1ELo5mRHQB5gTtbr86RpWKQFbGJ4hjPC7LWBEUXDYRZ4pgZMg+xUoFpHIox3COxwCftimhIhQBVR53kKxtuJRv8UvyoFR8nN9hqrr4RtcUx1qucB2YI3zmaxhbRy7jQK/7jAClcBmwJXAAVNhpfmEOccWAIXoFPrGFtyR75ZLRImMkwWAzXKhvWKMSoxQrYy+CH9wrGATOTYLlUAFEVRgoDPugzUEusIkAzb4gHsCLGJazlw8Sg1EYSqG6CKzY2d7uXm3tiN2GDPppE0Av2tGjx+zEySEMnSQkxfo8DHKWNKSb3Xn5iP6SdDZOt1gqyC5x+FEURSK+VFy0SjwNMOX4FsYAnK6T9RWJ0dOmaxQbSidU2FAADtoSOAAWCwXLwoDLQCsh4jRycrFo0RDobzc4dGmSJRlGlwojjuPO8k3hIA5ZFjDmEKcFAC1/odwtAmoYl0p9T/LRISoZdPGOxLqYij0DqoTdcN3VtmnTGmtpzlieWHEcQFQBZRyAtXb22Ovf8Ea790tfsoMHn7MID4Ih2iscJ5NpBIBJzh/GdfHhms3NzuA7FPQFblQBLqLKsUpxailxv8iNVOAEBcIUOm2Mh06LfKGytssKMaKDnl3p6lYIwD+BA2AIdpAYXV6cExpWEnikE+olJ3EUh3EUvSjGwMugiERDlm4AjM6Hh5WM6BZQfdbFTkB0wlQASOTCSohKlHuU/BLMV4ah8rkFQExxH6Ds6+myTevXWEdLs9MJ8YJYgn3JdYJRa3kYOobxcON1V2G0jGLMwFxhLGP8itEYuiFuJAFQ/rvF+Tm241xxYgNhZ3QkOK6hm1ZzPGgAsAwF1tBtM7BrCi9AHAA6Nw9MK51YL4lzp8su35iAvAcPgHLior9pkfW4DEDu/gsABFwxDwdtRG6PCkX/CqfFMSQwBLQdQAovgVWWowwYOZfr1mxd55JxEwcIYluJYIn5eCxknR0t1piJ2PDgSY7R+/x+suiGkWgeCxgRnF+wwRPHrLmz09auWWVnhqdhwQbAjpvIxU3c6QN22BaA6VhyWssQieM2QpXkfFknh6sHYyaNaI+lmyyCEz0MWGWcCIC6drGg7kSSa8WOCtwSOAB6OG5DGA+QltPRnChmIERdcgb7Er/Yuopk4MDAgCBJAL1PojSCXue2c4qUrFfcLfgPI7ATNoTbhwyGCIZDQqKOuyMQ5hawnEm76u7utg1rum0V+l5jJm1dnR02cOqMDQ2N2PjkBEBCJwSgcgENDY6gsyWsZ81aa0gROmT/9ViKtFK5W7CO0d2UNxhDF6zigEZRwJ8ZQcxGLA1LNqUanCHl83sZRve5Bo+Hy4UjOccq/sm8Hhx0Uxk9kHzglsABUA7kMBYjj79jECczJUMFLZjB1wBJ7EqsAUj+Z1HUVCEwGFBi1g2TXBxp1pGOqPgu2zKQPgaIkgRiSqNC3CvkFseAyKRI+2/vsKZMgwNaU1PaDj73tC0u5GyBaEue92K0YK2tUevu7LPjRwfQyap2EmOktWcVYj5cdxPJaNI5wXhKHpDvUU5nFEhrhPba0jFLI2abiVPLia6TrSKC81xvSaBTJAVfZoX0L1nxnvNRcj/Epu5a3cUF5p/AATDMjY7hEK47ZYXDuhiWN0KLmCuZTMMSipFqXJaYht+0isgSzR4QYYEilj3AJ4evrxAYVrDcLyFCdfzh1i1jbUs8N2YwXgRjUreaVrWzLkYJjmy5RpSTurqnFaOk1zZuWmcb1m+xPTuvsB88+bSLR8/lSzY5MssjQBwaB7WAovCcEgk8GDYG2ykqkkbEp+MJa8FQyaQzluK3GiBVCppcRWX8kDX0UV/hvRKuGtw1MtOl10pX5OnSxQVqCRwAISdLQAJy6CrGy613jObSn4BYCgvVRQZgQ2U5KwtFxkbUMU/d6HA9bBB4ITGM08kAnvLpHO4YRIFUcVtYVNsq7SqNURLHQk470Qy7su11116N6yWNkYIeRthtdGzYujtW2fCZEevvP2Nbt262RCZjTz53xI6cGoG9YD+eCiXSQtPsK2PpTBiXCwxGFo6HHqn9JkgREysq7KbHRtk4RYygEoxaQ8wrKzuMK0nMDnVbNIGvUlEQ9h+0JXBnLAEaFnMIJ04k8QcfwuqkJUsUoEVhAw1IOqlBRDlnwBWxkIVak38PptP3Eruo/jCdtDYkODiUywat0IljaNHWrl1ng6eOOp1v49pea4Ct0hgDra3NhPmwkmEhOYoff/opGx+bsm/e/4hzLssHGWt40hINSVu7ZTvr6IFB5CLOo8lGAJay5qZOjhfHwV20/OyQLU6Mkqmds6wAHSV6gzpQw02Uy87jJCcezfVG2F75jCFUjUS6weUgquNQBOCGURuCtgQOgMs3WGBKo4/5sJyiA9W8kjPx4/G9BiOBKJO1qJhpggwYZZuo3qPMhqzFeuJOgCfdz+2U7GYYTzFepbbXEIkyF2TVRtbicmltsYXZafSyDsuSkZ0nMqJkgBwW7wx+vKmZAmDdbF2rNtnw0KilUAM6ejL2BMA8eeIElizul1CjpRpb8EdmLNPQau1tqziPFCG2vC3GxHLzNjU34YCahhVDMG6CY1SR2fL0hbhWFU+VZLzAeskkYCxxwQAwxoVHVpIRluHxyr0r1b3EK47oi2KJVp1GzwB5ZC8DJR/TVWGxKgaERxQiwboJwBci/CVlvgr7VWBLtCh0RKCHjuj0RHyGYfLyMFuwONkeQi2RXFAjVtuH1bsJve/EyUPWe9l2ALdIPDpLeC6Pc1ox4RKiOG7pFOdGWlQeB3ced1F+OGcx6lSygCSRWkMBEaAGOLVE1JJEUNIYNdJJK/Tk88pdlq/029T8rC2wTgzjpJX91WDzGgyeLaOvsh/Fl33EsNw6Iax4XYfTY8XibBO0JXAMWJMVi3iLpDK8NAj1W44u7hhPbCeRqKo41Dp+R9RqmHAoVwBKpQJMYQz5AZ1IZnMX+0AU+oBUTuwwqlUNpb9URGTCPLOLMFGmza694RYbHx+v61tsL71TrKoECHZtx46eAugN6IY3O3b+3vcftrn5IWtobeJ3/HYSvxyjoaEZUd4gfYBwonRPoiLlRZsjiUEpZLLZIxlOgpAfBO1UjBCWjhIgPIygZEOjy7oJ42BXTmAetixjrWs/QVsCB0ANoif/GFZiOEUREiBQTDgarzoLWDUe8q/JSo0yHhHpSwxyiZhvVSiR8QFreohbsYvzxwFYj8GuIsLkS3TWCGZ1VPogr1mSEJ7GrbJtU48Nj04AOPRMIiLzi9QKA8A0TLs4k8X3N4RINrv/Ww85wyCFS8UHzemmXkBFrBk2BltWI0s6O0eYjYdBD0d2btrGRk4ixsdctZ7iu424mnyiMzUApkrABUT9LDUvmWoTUb0kzng53rGkib/lsznoWmljckoHawkcAKUDhXBl1ER9sKEToQCuBtDk34gpO1kBfKXQkzXsK9GAwfcVKFW2iwwX3Cw1rQPwKuzDwyVTQy+rAUoVeoeUjFDA0uWzDJQa+zyBG2WO2uC58TPobs22Zu1asq2xXNk+zUtJod3dPTY2vkB5KFksgFzloes2brJFEkqrOMRzlXn0OJzlFcAt65vzKZFKPzIyYCNDx/EnzqHvyUUIBHlYqrhcCvj85C9UJk6JsoIaD59S+4vsU8mrOQyY+TmyeqoLrKcHLFhL8AAIyCIMYgwgKWvFZ3BUDI4ZbLFEiPQp6XwASdkysxrI+gBCiKwLQwAokMobyjy/VZSsADOVMRoEQEVCXKkljBIBvEhh1lP2cZSQXM5612207Pw0euA8qVlkO6OfsWsYtGbrN6yzPZevQlSWyT1EJyW1q6ElaQ899qTNk0FdAVyxBCUFMK3S+fO8pmfHbWzsjE1NDsLM8DP78zhZl3kDCLHnuUxlcHMOHKeGD1TZ0XmAt7BYAIj8De02iu55eIK2BA6A8nuBHwCEFYtfTBJTX8WJQyVxu8jtkRC5MEBWwCAAdBXWreACcXW0yvVTR3gZL268ZBOTzYyoDeP4lUiUr8754Rh0dR7wQ/XWHD5ifl1zp0tAWMhSawIQlGSayyltX6n5U660M7sIiGONgHfWZguAm2ORMoAvkpAa6877czYXEYDzgFl1JSq0VwSGC1O4EPZWB4d8FgNH18djQWSRwnhEOCUChfkpkBrnWDwcqAq6Bwh7eWkCtwQOgD6AUBSAIYex8H/hZhFrJWCvNJZxCndHCiuxFFFmMoYEIM0xaFLUFcgPMcj1UkZGFP2xCotViVRU4gUwWS+/BE2AUwBnFcS7RKAymFH9ELlYuxgBc4i9LM7hECyXyxM/5jyyWMQT07M2NbFIlgvnFy7amk3bYDZlOGMk8DDksqqUw8cnOsOZrPqUJO6VkEdlHKysVh1FSvMKisDA8MqMiUnnxLUUJ9vGGT6I7RrXVCZ6UwGAqoyDNt05Bw2BgQNghgzlFHSQRR+ryM0iowOg1GC2CO4L3+mIRDDKUSvCCIuYxwtYjvCYc1ZHAJYUd5DlpLEypj0UfCffqmwHjXjSvwCLYyWczY0McBq9swGWjXCcMMdNEo6plKdwPk9aS0sLRkkcCxYLFd9cA3FiGbkJsljCimjAxkCftCzArrxERK1qVCIycniI/CTGEC3m5EZRWHsR42aGGmVlcctRHQWg6i0j/VahxwIPk9SHCI7yECpEEpDWuy6siOBX/AHMMMCtFPMWs3O4HgARg5rKNFlDcweD3oJkAgiItjyO6QWAVJFYTeO2AQCKFNRgoxoDzTijzKM7KiZbJNF0EddHtR4xUYEP9gmWLNsBLOl/TQIWrNUQr6BzRXAmR62jo9VOnx60kdERWLHFgcNFXvRYY+hUcJt0dqadrgjO0f8UMqsBPqZQIQunrVGuGB4NqRIYVQVcNUWSSyVSs1lCb2T+qP43BKMn0rQZ4dqkSsgxXaCupUp5aJg0LLlzOCCXAnMHbAkcAyq1aXVXs7MIF3IqZ6yROdJsnV3rSdhkIjPUqIWc0vZlYKDXIZbjYjw5dPWG7FMoTv47Rp7V0fnEJFS/hdjOA3mKrSrGqwo31QircL2RSrW+9jTAn3YSOkIBUUOGDJmuFnx9gIG5JipYt6opEcO2tDWZ39Zjd77prXbzDa+3I0eO2+f/7h7AO2mrYMjVzQCWaEqeUJ5S8lVs5OwqGBuis1QKgwgRHAOtDUR82tro4MB5ldi3P8vU4bCgivTl7ywC9LDCirB70JbgAZBIQB95eGK+oYkZm0fOdnT1WHvnOksqNgqbLM7lMD7IGmZQwxJd6E9yl6iOpARwSgV0JyjJJYTCHFLywww2cpfEzwZ0KqImOJoFzjQisxW22rK2HTakVRsgjueJASOOK6RPtbY3slYFFw1FT1jOVarjujrara21zSq4a546dMRuuP4O6+tdbbfceov97d/fAyt71re205pkTMFaZZ4M1X4cOn7c5nDtlJRiD2OmcapneBDa2lt5wDoxjJJ0gMAFw0MUQQdVlk4HMWk5zUNcT4aMnaAtgQOg0tFbknHLNyq0ljF/gTqLlg6MD/QwCrpljSrSUSSWq5RUJXumWF8giwBCgawEqFxeoJhPiQz8qrJJFwUBfEXEcoI0rTTstrWv3TY3w0aFKfyGgLUBJ3gZkcc68ziTpXuF0cNqlH5WALFEpofVDMrZh2fTM7OoA5wThsUlm7bb38Wb7MCxI5YJFWx3bwcxXBiZVxT/3nXXv84GRibtwUf32yDvTYTxMoQbm4mkNLa0IqbTJOOKpUPWnIlbZ0uTZZLSLrlSIiXr1vcFDX/yhgZrKdWolQgXrLEZh2wU8UpRUHsLcVVElVwornQS0VaT0sXiLFl8fypcl5XpsqZhyRIAUTq7wnbKRa6h/0m3KuJa2bNjh9168/V27/cftKdHBy1XS9m6dMS6EeNyTsfbGm1iYsQ5tecWYVXEuYfOF1ryw6lICKIFKMz5h69OrNUQSSG+i4jjW+3P//xZO0rF3GquIYV1rOaa+GfQ/wrkATbY+979VhseGbcv/8NX3YMRhfVj6LFRGDCcrVpnYxtqAUkRxI1Tsmh4kHIkqJbwUwZtCRwAiyo0h2lCWJedGAF9zWuItfaS6JlCF5vF/THmQltFLEm5W0KATy6SBIqcrEyfJAWVdqq/XoZcvShGijJmcjCUUpze/f532M/fdRd+t7Bt3LLZPv3f/tj2o7/Nr2mz9NYNiOGonaTSzcMgSBAOjKKHevj2VMTU4Cedb9CHfVVEdPTEKUs2r8NQwIplf2poedn2PfZg3xYbOX3Q+kenrQvHuaZBjmDUKLEhlUaXRJS38lC9//13k971AOeryA2C3sPogF3np6dJ80+67JzTlAJIR6yROVPE2g/awqUHaynh+8qXqZ1oXGW9vVvQrdbZKvSjRtwzceoiymoatEiZI64PFY1LPCbJ31MbNFkorpgHMdmAvpRp1AsWhYB6miN25eXbsThDNrWgkFiN79rsNz/8v9lNr3sDjDVv93z3SXvwxKiFOvoQxWRFw0jKrI4DtrSsVDkKYVBZpNML+AIXCmQ3t+L3DiNOo9SSUFQEW771Le/ExG60I4NjNokuNzk1ZaOjRERI45oYHrXcHGlZI+QHTk/YNVdeycMQsvmJaSthGecpklokaWF6eopGnQt4ET2bJEY8MzMP+OusH6QRDRwDlolnhcJNxFvb8bmRFIrDLUm9RhFncAJ3RUNDjFhtE7oV7dAAhFLgBQiFr+oVaMqjw+XCbxK/anS0+5JttrW3wR47dsy+8o2/t4cfe8x+/Vc+ZB2kYSmx9D1vvduu3XeN/cO3vmoPf/87WNGk5aNzpRHl6nIVx2zFHsUSBeBgQG6bCXQ/L9lil+/ea4Mn++3pE4eIYUesfd0227Rhq11y2V47/PRDhOgU40V8UrWkDMRodNrGh8etER9ig1K2GtpsQ+9akiBGcZjnSUiYoC45QnJCrl7ohBWczVZc1y/U28At4d9hCdJZHzl6yqbnSpZsaq/X7lYphyxMYsXOEKXSYMoMwLmrKIkLUOEzRPyVeSl2W5aR4qvXS9luvGqb3X7ddiZWQbEvzeLeGGJfMzYyMWbfR+xet/t6SyDCGwF2e0vG9uzaa5dfdiV6ZMzpcMfHSUTlGLMK7wGEdHenpTo6bBK9sFKN2623vss2rdloI/2HbPzMYWaWH0VcT1v/8X7be9UN9sgPngS29ObCop4ZgwlnYLJ50rJ4zePaUSfYcbKkQ5SWplOAjqwZRUSUViYndj5LvJrQ3QKMqcZL2y/ZZVu27QjScFrgADg6Ts5ciaQDdCCyRa2wMEwm0oTLKpZvrwrQKFtCEgI6LFSRQhnfmfS+IhGPEvHa3q4me/Odt9qOzWvJGcRIQKxNT+LfwyUiazOLmD92+gzMlrAtW7cw6DAbepjCZA0UDO3etdtuu/n1tmXjFkRsMxnSeRsFBPP0eZnjFUo02i13vNluv+WNsCKzocJYKkKfR1TO4iKKp1ps1+VX2cjYqJ0i3X9Nb5d1YOSUeIBm5mYAIalXJBjMz83BblnAOI/TuwOxO+2sdmVgT04CfcT/HOtIrVBn163bd9rOXZcFCoCBE8GNLV3WuQoWKM3AKkNWnhulyylx0Zqcxs2wCa4JRUqwPOdwRmtg5mGKUoESRsoYr963yd5w69UuRzBGRHkGfaqEOMtSBC6xXGQwG8lmaEDhv/dr99qll11qW9AzU8SCFW+Q06NE3+npYYDc1mv73nqZfeDuD9jIzJQdOLCfGuEh6+7qtZtvusOKC0WsXAraO5ottnGj9R8+SCx4wa669kZyGTM8BG+yw4cO2NBs1q7f1E0Sa8qaeACODwyhGy5yjmI4LHMMpcHTp1AnEoQgF3gY0Pz4XoCUP1OdEVQ8pdT+oC2BA2ASnayBLgFFmob7OGRxsbnMF3U79b0CViouC1KjPB+2K066xM8C7o846199xVa75qrtpDehvBNJmByBkaZnABSljvqPQZ2j1LKACGyN1+x0bta+8tUv2/oPfgRdTS3ezOZmFu073/4uFW+b7NJdO/EzEuJTlCXebnddd7vzx4kpCUpbqRFQ0Ae6CJstcg7tfZssgd9OLZKihArXr1qHu+cu+9K9f2HbuiklRbS7GhX0QWVQZzqabMumjURbeOjosjAxMWEnT590tSHSXWW4zMG8cSxy1b+ou0LQlsABUBlLqvHwSUfPNHVjBJATNzeCnKVbAnFRj0gEXmCGeI5M5bJ1NhP7JUOmhXYaV+xci3AuEOynwRGF5JMTU66ppMoc0/jTCrhiJNLUZ6W7KcEewvbkE09Y/4nTMGkJne0RGx0Ztne97e22fcs2jBgYUanyMCzESN0HeYjq3MD5Ca1yr8gRXlYcGcDU+C6Pr0/uIbUJkWvmrtvfaPuf/IE9+sxT1kO13NTpQSzhMYti1Wfw/bXRf0bVfapH7lu9ikTYPnvgwe86Zhe7p9NY1uwrh76oSE/QlsDpgNPT6myqbGBS+ojVelEC+hQT1YrShdC/3AjAZvj5yniDPcofk+mkbd/QRVNyoifoedNkmsj1MS83BrFXtbpQc8hJF7WgISXw7eroxE/YagOwTI0Iy87tu53If9fb3+FYKQ7jRrFqlaw6Ok4zItw3JaIhYcJsyqhx7d74W+cjPVA6YJjva+T9CTCK/FUEVkRnZ3uffeOBb7rE0jODZzBLiM2EqOQjXatMVo7mNSmgJqjGWdV+e/ZeQcoXzTUhvEQyYk1NSraI2O49+2wX1nWQlvp4BeqMGUjSo5KwQ2s7oOrstVRzFxikQo6wh4p8ROvqZt+U6SQ1inXa23Bak3KPE3oGkaXaClmZioTImNFccGOTMxgI6nSgmGqTtbPv9au7AZTZ4RNH+NxiH3zfe209MV2fdZDY7iGYmJoHcGRh46BOc05y9Silfnpuyh478APav5HkwD6efvaALeanAf4weYo02OTOV2DrPDrhhr4NdtVVt9kwBlZeCQUYLSqlUox4Cst4aGTUBgaHbGDgjJ0eOEXZ56Bdf/0Ntn7dehgWN5ML9/BA4FAP2hK8M+YO13146ihVsnQ1ZfOArcrNL4oSYAnNcBRlEGMYJQkAkUqgpAO+Im3d5rB4VUORQ2wqnb6ErjU5MclnKIlhb2xqQOfqwD/YYBXCZwrwT+EQXgQ0bfgbq0USGQCJ9j+r8kx6A7a3dbAlAT0Yrohu+enPfBpLllYcnIss6L27d9vB489YlvjvfV+7z37tVz7iakMefeRh6+vrgxGb7JrX3WqP3H8fVW/zMDKYwjovFFWTApPzoCQ4VzF8Bd9jmdCbDI+9+/ZY4ZECxs8BPQ+2oOKkgC2BA6ByV7QomcB1R8Vy9QAfkzBQK4xv0KWeAlLEnHryqa9zHBCUi0QRKvjZYL9pspalL7W2xmxifJJSywmnwHeSZdPd02ntHW1Ot1Pv5RRJAqPDGCayNDlmEUZTRZxSrsZGJ9HtVPResc//9V/ZnT93p7URHrxk9yUOkBvXb3X1HIpQZEgc+O73HrQ1G9fg6mlGpJZs/1OP2YPfe8D27L7BNm7ebbsv3WcHvjcOk6FikOqvoIpPzYcSLOTfVJaMwJ9HH1RDdIn8fXv3AfyEPfCdb8Oq9XsTJAwGTgRr8kD5vTBYASCnj/gpo4dVPWqEccHEk22gk8gItohcKgwjrgwGDX/a9PQCTl4s0kUUdpzSoyNYlScHYD9NHEPmMxPgNDXR8RR9a16NIxnYYkEZ1PRv4X1wYIxj04sPo2J0BD8c8egHMQhGxwZxAu+we/7mHpIPFmz7ju32zDNP2+qOXlvbvR6RHSKy0WwnTpx0emcJQJVh7wx5gXe/+x3onqPk+7ViWW9xGd418hWjsG+IfoL1CWrwaYLGHKBdmC/gs1ykkGnMhoYH7NCRZ/BVbrIPfOBXrWdVb5Cw5841cAxYkXMZRpEG7vq9wIiaTqHI9AZRLM54SmKQYh7VVSjpgLAZchnDBYfuLHN8TNFKY4p0dxCqfSmJU9NyYSHYLA7f48dPuMQF1Vl0hlfRPjdPs0i63TP4TbRZayJ2PDg84WpLGhHJa+gXc88999iHPvRrdvDQM/btB75td7zhdvRD34aHh6ylqRkjgoxr2HPDmg2qBCCDegiww4Kw88OPPGrXU/DeDBg3bNyEJQ5bppqIYytVrJ4uplQypWDJolEsvAJ4Fe+RiC+iQmjuklX4Kjtg7qAtgQOgrF+JQjGgBI5PSEq5f4sMWByRqxksawycptYqYUHSvQXDomBjE/jMpomlTlKpRkaxCpSUAi8QzuNiUVKAJptuhQGb0PsaAFcuswnH8rCtXbeVhNcmOzN0BiOmwb76jX+ASSfsnb/0Dtu+bZud6D9pX/naV+3Ou37O/viPP2Pb+G7T+o124OBjnKFHtOMURsP1uHqSthGQPQdQd+3aZbt37wGkw+iXiyRP5Jx/M0zHrHnKDRqwbumjAPSkXXJN/Cdns4Cne5AnqbZKJKhMFrZPOE7Nj+aJogRtCZwIlttCRogaEOnveltdzAeYTC+JZyntapnmk2YfVWcBgCalvUCoSyK5jWSFBuaJk7iVSySL8j6MSB3hdez4oB3tH7aTA5P2xP7HnfujkSq4g88eJum1wb7wN5+3Zw/vt0xz0v6/P/1jitMX7MabbqJvzFE7eeq4vf722xwjrl+3we77yrfsiceftt6etdZGJ6zdO3GT4M4J4f8bh0X3fx/jAQC10LBI5yExvnp1H6DyMZbIV+Tx8alhkZWt4qMaDm7pnrK1uFSuqWKzuI6GB4ddl9Y8vsCgLYFjQIkyPe1yd8jloioxAVHhqQoT/ykZ1HWNh9kI2KH/MQ/HAu3NqJtoo33uqr7V0KYsxgIGiUorSQilyq1G2E66Vxmlv0inqyyp/tWFwzi3ccm0rbbVqzbgWsnaJJGTJgyKW2692f7ks5+1v/rCX9mb3/QLduedd9kX7/lbzgU24hWirca//Te/6xzRCRUj8dCs6iaNC9q++cbbAJKyaFLokA8ibsloRsQqb7GXlr4nTh4jq0clmGRYI7NDAE9dXJV4KktdFyAQSiQLkAuLNErCea74cNCWwDGgbrD6ubj6DkAn1hN7qJmkmK+eIs9lMdAtjTHa6jah8025CjilbTU00t9PPVsYTO1DwHUznQNm6Vmab00zXRIpI7umxva9tmPrPo6TJueubG8hNSsSbbbf/djH0cEwgNDH/t9P/QHTNXTblVdcR3juKvvl93+Y7vhU5gHqKOUBMXRIX2n86gWDQZOmNbDUhQ1kytz99rutFQaUnreIAdO9ajXlnI08OmHKSSsUH1Hdh8UrA0Rtft2MmktMqL7SYkIZRgW6McgFFLQlcACUgSErVYvrA4gBoczm1lYSPwGhLGNNg5Ahn24DNRItiNkUoazOzi5EbiMAlTNaURCcvlSkKdu4qEmtsZQ1m2UjRT4JQnc+VrFa/d50/W0YDgnb//hzxGIXsI6rdt01t5Ox3IOLJm2333Eb7pEiSQXHYbsG27zxEqxlaoVJmG0lcUIsh4sY9yT6G+IWnHNMtfpgBnZX15zGyU23BVnsMPO6detRFSj9RG1Q2101UFIbEblfCpyn2vVqPTG/5qETA7psaXTeqoyzgC2BA2AJy69EPSzjgljSpDG4T9KNWJGrMDpQ5mGZTEMvjSJbDS8gGTB5W9PXbVs2r3MTwIQrUVucZXKYuTIZxQCPhuAhrM4aFm8kvQ1/3SbYJ2VdPTuYbOZDJDesIt9ukblB2gAUBeckQxQLnr3n3b+KGIzbJ/7jH1l3+1rLTXuWjrRRncYMTVTi9a4ihttEOUCK+TvIrCHiR50K6fSLY/Ynn/sjkl6/gXgvWBo/YhnRn8OhXqAuZdWadVjhJLcSpuMLNiJ+jLhW880EwLuhabW9q3u7bVAhO2iWb1C+QqkP0hGDtgROB5S4VQRDL+cHRPyoa0ARR3OWUFdnhoxpFK18gaQCBqdYWCTtnpa4JA3MASSX6InVqYY+6oTaQdbxVVddb39z76OoVDGcy3N20y132eZNl1pzW7v19PTCVoTrYN72zmb0NFKi2HZqYtbe8uZfwt/3hDVTJFSYL1pnN11UF6esuSVlTx18CKNkAAt6tV2551rEZ92iHaHI6ZHv/SP+yojt3Xs1TvA5O36M9fp6SQMjW7uxnaL1jI1RXB/mnMmVpnuX2dZ4s725db2tI9tHTN3Zt80epffgY2OnHEtK54goUyNgS+AAqAhHnIGRzqcO8tL5NOtkqTBPXt9U3T2RVzyWRo/kBKrDQJwEUTmhF+bV8gIQ0t1UjcFzFC4pXWDnGzfZ/d95jDjtDCo+rEPZ5g233uREpPYvQMdi1IAwuMNDk87IaSdZQa6aNb077CjZ01dfvg9L+pT93Zf+G4mmA2Rr47xm9qO9e3fbzh17sHyZ3gHGHp0YxrAo2ekzp3lgCji0NWcxiaUkU6SS7bhiGjk+D5SuiUzoVTjUb8qgX1LknibNzK+qD6DiPiG7Lt5pSWrxHyHTukTkRP8FbQkcAN20p4hf5wxbepMOpF4ubpK/ArUYKP6a3NmlrpOvp7SlSTKeFbsVC0rHStJ2Q+CTYZKmrdu+fevsgX88gMhM2/jMIL7BacuP0eUKoDfifPbCJDtgrUp3bMAdsx79cm5uFt3vhHUAjgSiXHFbdcu6/fV32IYNm+3IiRO2f/9jiN15a2Yb9SV89vBzzgd5mPqTk6cHsSAy7JskMVK1hkmQ6IKtW/AXqoZlNbrr3tU9tjOBOAdcOa6brEQr4QXQZNipXMiaPLo1cF4FyK+yIoJf+efPKd8CnKzW5cPx4NcYBKU8hQCevld/5zJiTC16Z2ZkPCi8loURycdDce/qasc/1+NixpoUesumTYjTQZeO7/txkj3nEImt1kJ0IU5PP7lIRobG2H/I1m8kIwZNcf/+pxDPFEFhRCAAmTmpx/7Fv/hNuiJ0AH71vQpTVvk1GHEEMd2D6M66SEtv30aAe8zODAyQPb0ZVxGsXhAL5iyF9X09zc7jPFBdJLPGZIgwdWsRN0yMXm0CoA97e+h936vm7L7hftq9oQNyXjkerKAtgWNAuWDUO0+hLhkhHk+9nLkSw3JLYKMgRFUjSwCfAnW5ZmbJcM5mZf2SBYPrRf1eEvSYCZG9IktWiQETTLFwxeXX2ZZLrqbJUTNGABVsLUwYg4UNihGV1BsTQ+5b3WbtrWmq456mo32WCre11tpMEZQSAeh4H8PF4tEHMEdpaISmkWLlU6f7bduWy1yH1dGxcbv90j3MJTeEe2gCHXQt66C3Vuj7wsMzqVphgN8IK2qmJrmZNP1YFWaVASYrOAv4DtEd7OvTp20aNozR1UtRb6VwBW0JHgDRyZQEKleEMmPEiOrhV6HTQQNgUqPuLBGBRXS/GtnS84AvTybJPIVDddeGh5FAk28SSJMNCcJmWwErIThyAOeyCes/2k98dz2+OuqPGeQ5fHPqliA9sAmLVbMhjZCkOjQ0AeOttiYaI8XoEVNz5QAwGW6h8clR+w8f/20bHDzNZ5WGAlBYqp9oySJzfqwlftzelkGflJFCWj/umAoAk95XgaljzBMsLJW4Nk0lq0UJrurGvwggj9MF4f6xEzaPnhmiP6BUEE2Tsjx7VJBAGDizSUxX72ywBD5FB3BzNDDQCRLpKrgupqbmbGJykhedSMl+mSD+q0RUZRZDJgCQDvtkK1dw5+g9Q1H563ZfaqtJOk1FlSVzBHARvaAP4QQxZKFB84fs2LkGHc+zQ4fO0BIj7dw/bp452KqmTqWI6QnS/JXFsuuSK+zWm99E9GOtPULenzKh+08cw1I1e+LJx4gBn7JHHyWTZhxmRS0Qe1VxJueUxoMfsgz4JFDRFnjAcHjjA1QCxSAtPB4cOWVT+C0J1tAtAdbnpUVsGbQlcAyokJPS59WkW4XeDA2uPFKkiFQVEc1zVJipadAM7JWlM0G5xEAhhpWcoBa8muVSDFgj4bOGr22M6bUaKXKaAWiNTDZdI4X/xOCA/eDAIziumRmppReGilrv6g7G1iczeRRdjlQqerioL4syU7KAPkKkJEtIrIleNTUY+vLLXm+tHQn7/g+a7Bvf/DoG0AxspiTWgn3zvn9k+zAdr9rQW5VjSEYLKgMN2tDxELc8EBVVQAlXAiBgXOThmSGp4sDksJ3Gt1lB9LKGY0p10tcM7wpJBm0JHAA1a7l6MNdgBRkTkA7+QKIARDViuGjkxlDOnKxl6X1z6GlQEnofYGWgNmzc4BqZ19AX01jAIVwbAmKYth6DA6fNT/VYC0bFZ//8zxxI73rTu+22296OwfGMXXrJesTrDEAOY1QkORbWK9vmAYeHbpagCqmxKWYDWLdiSj0samS5SBb24OCIbd68y/71b/weBJe0J574Nlkxh211b68Nj5EmtrhoPfgdZ2HtHIzWSLIFpIkxQ2wb3W8WoA8hegepba4pMYFk1Aj6r8KHekkMO70kYAgMHACLAiAJBGVueAqQyRc4ePII1ijhLSrEJLc6umGrOMAgYie2kk6YxHfYvZoJpLFgVZNRyCHiEJWDFPe0ZdAhMVgGsXJ7NrSw/TpA2EPi52l76KEH7CZE6c5dO2HElB3rH7ReOiCs6+vimKpyowUw+Xg+bpHGZvrzhbJM4/qwHT121EaGB0gDG3A9pA8fPk4jzR6Knahhoe9fb+9O4tJY0zCdGlFKvIJaGlJG6G1DRR19Z6K07CgSQikAthzO5wFKRucQs5K0mma2BjiBH8wHENFR65QZLAQGEIC4UkBWAUZIUYwu5hui9UUTkYU4kQSiuIS4GIRwF/+E0AFnEG9ZrN6IXXfDPuLFyDQiG5qqdWQ6x5SqB+yWq6/GsVuG1VLW3qB5e6u2CUOh4ZJNhPC2WTv1vZ30CJwhE2btqh5bt6YbQ0HDrW74SRJWo7h96AdIFvN8dhbH9CF79AffAaj48LbvRZdsBmgJ1ICoHT56ynZs20wXg2voLd1EtOQETuoJAJSyGSIszYB4ci5jOazpdHmYIlKSa9FzpQdO8uAVUSI1Za1zR0lKY3SpeF0RIieSg4U/V0AWqFNWq4oFyiqdkxk9aJGOBtPTk5aicDtNLW2jy3bBfUJGSTOJpe3NTfbU0wdt156diLgOmyMbuobOVqLA/OAzzzDn24JLg9+1fQPdrRJMLHjGMpGi/Z8feT9pVy0uYlLEfxdaOGZoiPj82hHhaulWLwWQjsbY84+MkCg6XpHQ3hvs2uvewDm06AcbOENjIYwUEvtIC5uxY7Dj0JA6a0VIp9/s9inXyjg9adoy6uTP/tE7i/g65ZBWc/M5rOgpzkNzUCznQAp0itQoq0eJGDqXoC2BY0BFPBbJ79Nk0flsHDE5gbGxYFMMRhMzWyoTpj4TOX1ccCB307pty5ZNzhDJLaLiE5NVmzO1b7t8z2V2yb5LaX9WsyNEJhKkYY2R3Dk+cpqEhTHa6K5F36TyDQt6ily7wYEzWKjd9oZf/GVbv34jjKN+g+Qboutp7mJ1VijStwa7GlBSqpnsxuJ92hkHijkvkPIvQ2Fqig5Y4xXYLmNr1vTZZVTNPfPccdqMLGKxT1krM2lWievmOS91OyhghIxgeNB2E/ErlOGe4VjalwAo61f+zhUr+Kfw+MVhBqWeD5w+iaMsxxxrdLTC+Msi+kYAThM1GAlCWG66VmLAaFj46AAHVnOCJNEnT+y3HRs32hXXrWHaK2ahLC7aEboSHDjwOKK2xfrIxzt0+IgtolsqJqwIyhNPHUa/67ZNl1xjN9/+c0jvBphR4k9QwCKHUUP0kc5zjEnApYL5zs5V9tRzh1FJYU0akqt3tVzkPd1dMGWXc+/IOBkgGqJyTvWCnsXRLV0vh08TGwQGxLqVbQG7DVAfXHJZ4GK9OtgEOIFQfkZlgq8A8KcAwGZEqsoUB2jWszA5ZrnZ00REmJiGVKyRsRx+tUFYifA+SlpLa5/TCzVvR4qUK1Qsu/TKq6wxSdE3gyhGmpoaIXF0yrlnJqcmEcdp66PrVf8Z2A69cFXvervtjb9oO/fcgm7ZTCF8I2WexG0H520I0apYcgSndXtrG2G2AQA4SSrXamK+iHcs1iQWL32NiNbQJqSzDYODDG6Xs5hAXE9hKRfs+99/jK763dbU0Y0o5aGAUWOIVYneOOwnIE4Tpqth8mtqMtkbYkBlWYsBVW7gHPI8DEFbAieCW3DSrmmJ04r3KNVp6IIMllpWjJMk4C35zlRRloAVTp8cI5zWSTr9WrgHZqI1x662jS5qUsYBXSU6cnj/ERujiHx1Zx9ujWmAPYzPz6dZEDNjDo/Y4cMP2b4b07bzStLA0PPK+ZqNoYPOwkg15hiWy0YsOTlZtP7+UZgrZaf7h2Ajs3V0UlUq2AIqQ2d3Mz5Cpn/AAiaWiMimrW9iMzHneWLQh2BbXEaD43TcarSBx//eaif7Lc5Oyjxcg7h4pkGWXNNUh+B4rjvhlxlPLCgABhB/wTNCuNcUFCVgvRQuGObnIOVqCuV9HHeK+uUpw1ntNeAIpnCgJZt32hLPHiJjpY0Q22rr625zVnQYgE4MDSKuU5YdHYbRTlKU3o1zuQtxjq6GyIwRB14coycfuqFaYCTYvyxf+Q0lnvvW9LgsnCrJAoNnTljP6jTAV8p/n5sxvUivZ4X5mnlg1BhTIbu2thT7odk4NoNmVhIQ165rI3ECK7bZt/H937HqkadJRsXgQBxXybIZp/0utFknN65/2Qg5l+1e6vtz17uYPgeOAeV4boDJErEGGA9HH+02WlsbXJqVFHFyiV1WiFPVmXtDbKG5gudINhgi3+8MnQ7oi2ADsFuVMF07mSt79+y1KRJFT584Thr/Bmta3Yt75gmrJUlEAAAdsGEzjSmrJCioqLxnVaf1+J2Iy4jLtIngY2yjbDNMEoIKpdQWWEVTkSjGCE+MipRUlzxDBdvJ/jOIfsWnYW7grCm5NHFOxMuQHY3QJ8bbpJk0QYmahSzglB7H0pdjXQTPkwHT1Y2QHwFSAP0wgQNg3QrEzwyDqTVZEeVdk71csWc7rJLAD1ekfhdGJP4bL6XIIsFvRrpTFwy2jr/HHnvWBkp0SCDDOUZr3fkxJhdERG7etpYGRl126OBRizVp8kK2JWcwSgfzzfgCpVOOkQU9QYGTqty6cPsozeuZZ57DDcSEOWREK2SnrGTlBOrcYnGc5SRIqL2HJOTY+AgOcLoDku5Vw1mpCVhjsVZ5cPi9CqDj1rNpqw3S7cBDt1M6/gIG1AzXp/JMLVWsEk3S7UTuOQgMIP6CJ4KxL1g0XwcTCKYazW9mcKSYI8l2b84AAArmSURBVI41HcJq0qV61/XZYz94yvpPT2BVokchCmP5kG1thrUo6I4xm2UEI6RCBguZqXbg8QM2OD1ive2rbAiRy6QbFmnFB4ixsLFvg23bscMNuKbKammmhS+NjY4cPok/MGV7LrsMsa9smTAZN3OsV2bmpnYeEJqHU9s7Th/pp548CAtn7YqrLqXpOCAFTHNzNfTLMzDjIr1oWpiMhrIBa7SOm95oIyePWvaJJy3JPqdIpi3gc5RzRzqelIvwSwDwHDwG4mPgGFAGh0opa7BNCMaIASCxYbGClQio1MhxcaFqJ85M0a+57sT1+X4YRnk6lbM2RFoJViFZ0FmRHtGUBLlM/ceHmIWIMiZqPnrWbrBDJJGSZmcbaPodoUbDo9hJjcqb24iiRFpxvdQQpSWA2M/DwBRaMFuGrGdZuoePnMAiPobvkPg0D8oqQoD7dlxGzLZMVs4kbMkM516zrUWHVLllgl4z6ivoI4r9dMb23vkL9m361lD+Z9mpRYvChBWds0SvIKiHUJTKIovYGR/1j+67IP0TOAAKZCqDjFJvIaVIzXtcTTCdrNRaQwkKR46fwqdG8qaMEZmjDFYIXe4IPZUVzUiThkV+E93vM8xeRAYLEZBR2GpkaJyBpkbkxhstMjvtmpr3U+/x7MHDzjms1m0V9rVILYdSqOYQwYUCUQrCfZqlaIKO9ocOP0uuYT1LuquLdH9Yco4Z1g8++yxAIwkW40XGTBzVocB+MjTPVM6gEiYaKCHN4Ehf23G1dcPAX/zcZ2zoxEFEri4BvyQuHDW7dC6XJQAu427FCv4pPXZKOK2SmKnuB8APCqAWGAYyb9GdgbKlpzA21PdPfV/kLQ6L9fCracb0OdhT4jIBMwmYUSUD8EqKSvDVCbRZaj2qiL4EReQP3vcty4/SM7q127rXrKH3YAY/IPoh+06RVZ2mg4EiGm1UvzXjcFbKvhzhag0ielL1XS7XAFvC0JzbHEZHgvNVrXI3fQijMJ8YsML6IZhcnWAWeIgWE3R+7ey2GY5Ddr9zZIdhQuFOzu+zQagLP/fzT2k4fuLDBI4BpbCXYY4wrOVmIkeNjWAwxGCOPNbiIgM+TehMDXuKWJrKNGmEbTQ3XJ5YapTBbUOPU/ZKhTAXyfC4copMgJgiAkEnA5y7X/vy31v3hg3ocEVmOGICm0cftptufQPDTudp5up465uvpTAJdwpJiClSshSuUE2IMCzfnFKj4vSYVnQiixjvUhgOn2MatpsYm8dVg/7KhDoVMrYjZGYLfK67q/sc52+yYpppev7O99iXqCkpTA+Ssi/QSUwLfsoIfwGEjv2AwrJf8CdGxU9xBxhUS1z+UzzoT3Ko0eEzNs4E0dL/1C1Ki3S8qpI0GXClaQ1TV1GCvZQ9zUgBKsJX/K3fw6Akg68uzGccG+JQJ1ZruDkKfOfj51E2cgQxquQBWb+NuGD27bsCUGtWIia5wTKO8xILKupS4+Va5bIvxW4FBHVtqPvlBBoeGh2bY+TJaKk3VxKbKZG0zmraTgAO8YSpmbn8mTEs6qeefJzEhdOcC9QnHdEN17LgrTOf7oGW3bvVcevS+oeA/Bs4AAbkvq6c5nnegfMWwerIKUfvxbgoA6aNSMfKYoYSYgOmOPbFuXT7NI33qKZfWs6bAa+YvtoOV44sb3dRvd/09A325dv+x0V1Tj+rk/m6f5/daW/+WR3+xx73DwuftA8nf/359c6bAfMtuB7oNnoxLvm4Alcry/neAe9jct6ztlToXwUCXbx/Er3yX6KEfhWF9Q5+wHj6kWWWdfL80KONz1nkm/wYXoc3se0eadYvvpzbSL2uxb/4uivfvkrvgPc4F/YBaop/nuH/33H/fI18xocxqL6LZf11jKF/BE2PsA54847wzxd4zYHXvwRgj58FmWmMuC+w7iS++aO80yHMLnlp8L3Y7Txrby/288p3r8o7MAdwngRs9wKa9fgCHsPy/nPcSN8EaPofl6r3VxQ8PQeY/pp11/HlR3H9QH56uYWvvA8A2t2s81H5W/lWFQg41C9kOW8RfCE7XVn3Ir8DZN34uwDKpXi4+3ADCTOioo/xzz8HlBLBYwBunt8PY3hSlOUvAMQMK7bWARamhqW6gfW2URrQC/r0m+zAiJB4/osOe2HLIgfgHN0C8CnaeumF0kdX3v8iKsOLbqR9z/NaVjWJmLnPC7zztVt0vJGl/S59tfJ2gXeAqSxsPa91vMCYA592cQ4a/FOwJGD1iP95qg1QwOlr8q3i76SjmDeJuP5LgDrAfnCbns9yrtv5ghnQv565av+Io13LyXyGOoThqHm/t4yOHz4F/5dwpv57Gn9XOMzuZdT+8Dpnf/LfRHjtLcQm+nHmXgbXj3OxKvIh5d0/yEX+AU/ie+mKdS1/S4/5PPulK8LKcmF3oPYpoe7FF+//0j0FY3ezTooxu57aa+pd7F3ce7HcFWId3ln8T7PuOPf/zURz2Mbe577+n/9zznCxhwtZeBK0+t9yYtcAjPuJxl7Cg3MQwPwHvmvlEfp9APRxgHmS9U7zIv1JmZWh38by6oc8+5gF6F08Qf+VCzjBxXwcMO9mHXn4tfOPcOGz7OfX+LCdz+9HR+njQX0f+9ST1sNv7+PYtwNKFxVgnZXlwu5Ah270SyzLLjqBTVTXu7zu0vuq5c/8THWBY9HlXcGWF7qcQ7o/fnO/GTBRF+EdBgBXsDnnE/o3sNKNxGSbAOHnUGhpl2afo7aVdT0yy8mqNP91hKbewff3wXJZopnXgP3/wuves+TzKPu8g1QrWM7+Vy6e3fnvAb13EkbbDRB3sy/A6/0BYPxN1uGnlSVYd+DcsoELZMCli30jgPptgPA7AOoeQAJF+1eCl40wIuUS/hm+P3uZBExfpJbi/4bdkgBHC4qt6ioc89W/wR/F9vctm1l8+W2O8Rd8XsM7H8Nfot5DtRH/kRR2QFgdYR8C/cryE98B/3cggkeQcNLl3sU970a3g1gocTZvF/ccVcr7FGOIn9BDitkf8t3LYDw3kGedLXu6kAUY7EEXuI7NegBVH6+NsNm/42T+H1jpy+DpWnC1CVB8gAvCJ1RrYZuNHGM9rz8kL+9Gtqf9hdfFtkzR5pRhnYIi8Xt5nb2s5zhaZ2mp3oXv6nFuytsB3wK/6Tgryz/NHUCX8/6HJBLpbfgC/RnGR6oOhBDu5T5/Bwn0EOt8DZ3/g9z7p/5pDnvBDOh9Ui3RWP4Q1tP7ewGdYP0Xy7sCkB/k7w/q+7oRLFnqX1n/XcnldaErJmS79wLepcX7xPI+lr54zwu/uW94Ov2PnfPd8sYr7z/xHfA/QXoag1ZtA2DqoQMQVQ/qH2Ccfhnmm2TMbydjaDOfJc3OpbOXcQYcaWVZuQP1O+C9B+n0YYD1SQDG/zI07Vewgj+P5FkEjI389gCM+DZ+/DOt8DIWx1ovbHcO5bzww8pfr7E7IAdzNy+5U1g8uWJk8SpOzFJDP7e/xAX3PXIrD4GifyUk8d0FLud6LlYAeIE38NW6uvP/nS0Pb8VrcfbFCin/HeNEXg2c0P9U9ZQrADz7Jr8K/g6Xwpaaw0F3to9UBt4PLbDXsih0P53z+4/bdjlS9SP75SD/s235LUo14zLL6pTOOx+Q5hX0E7g4HW/JQoKpDZZkxQ/d6NfeBxVfzc2pPnkZYQzyOUDB2/o8AM/9TXfsFduWc9K0F0ogXl7OG4DLG6y8r9yBf8o78P8DUQevcC4vVwsAAAAASUVORK5CYII=data:image/png;base64,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

Should report the mean value for your data. With our sample data, this would return 94.47

LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.

de:drucke _ in Größe _ ca:etiqueta _ de mida _ es:etiqueta _ de tamaño _ fr:étiquette _ d'une taille de _ Hello!12

de:behalte Elemente, die _ aus _ ca:manté els elements on _ de _ es:mantener los elementos donde _ de _ fr:garder les items tels que _ de _ 1

de:kombiniere mit _ die Elemente von _ ca:combina amb _ els elements de _ es:combinar con _ los elementos de _ fr:combine avec _ les items de _ 1

de:wenn _ dann _ sonst _ ca:si _ llavors _ si no _ es:si _ entonces _ sino _ fr:si _ alors _ sinon _

de:für _ = _ bis _ _ ca:per _ = _ fins _ _ es:para _ = _ hasta _ _ fr:pour _ allant de _ à _ _ 110i

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ 121

de:Liste $arrowRight Satz _ ca:llista $arrowRight frase _ es:lista $arrowRight frase _ fr:liste $arrowRight phrase _

de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _

de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ cont

de:wirf _ ca:llança _ es:lanzar _ fr:lance _ catchtag

de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ cont

de:wirf _ _ ca:llança _ _ es:lanzar _ _ fr:lance _ _ catchtag

de:für jedes _ von _ _ ca:per cada _ de _ _ es:para cada _ de _ _ fr:pour chaque _ de _ _

de:falls _ dann _ und pause $pause-1-255-220-0 ca:si _ fes _ i atura-ho tot $pause-1-255-220-0 es:si _ haz _ y páralo todo $pause-1-255-220-0 fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0

de:Wort $arrowRight Liste _ ca:paraula $arrowRight llista _ es:palabra $arrowRight lista _ fr:mot $arrowRight liste _

de:ignoriere _ ca:ignora _ es:ignorar _ fr:ignore _

de:Liste $arrowRight Wort _ ca:llista $arrowRight paraula _ es:lista $arrowRight palabra _ fr:liste $arrowRight mot _

de:Zahlen von _ bis _ ca:nombres des de _ a _ es:números de _ a _ fr:nombres de _ à _ 110

de:wende _ an auf _ ca:mapeja _ sobre _ es:mapear _ sobre _ fr:appliquer _ à _ 1

Reports the Median - ours is 94.5

Take any number of input lists, and create a new list containing the items of the input lists. So APPEND [A B] [C D] where the [,,,] are lists reports the list [A B C D] not [[A B] [C D]].

1111

Reports a new list containing the items of the input list, but in the opposite order.

1inputresult

Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.

Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.

1even itemsmerge11#1#2

The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.

#11datacountmapmany#

1data listscount

#1datacount1

Calculates the standard deviation. You do NOT need to alter this block.

This statistic is calculated by the (number of successes) / (total number of outcomes)

2013,6.82014,12.72015,16.92016,22.92017,26.92018,27.72019,30.120.57142857142857322.98.0371839925817450.2857142857142857