data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAGLhJREFUeF7tnQd8VMX2x3+bTSWEkJ4QQotA6CBFEJHyEKQpTTqC9Ofz8X+gCAJPujxpIoI+n8qjqCAiJRBABOm99xJqgJCQBAiQvkn+n9/gXXc3m+wmbNi99935fBTYnZl7Zs43Z+acOXOjyc3NzYVa1Bmw0wxoVADtNPPqY8UMqACqINh1BlQA7Tr96sNVAFUG7DoDKoB2nX714SqAKgN2nQEVQLtOv/pwFUCVAbvOQKEBzMrIwv3YJARVDLar4Ep5ePSRS6jcsKrVw7F2/q+duIJK9V6wul97VTQLYORnq3Fq+3FoNE54c3Q3aJ2dUb1ZLSHjg7v3cefSLdRsUUf8O1uXDa2z1qL8Ur0cXTag0cBJ62TU5l9dJ2Ps6knQOGnE5znZOXnqiM8N2p/cehQXD5xDr0kDwAk/seUIun3UO48suswsOLu6iM9XTlkq/mwztAN8y/jr6/Jz9sOyZMzX6DN1IFw93MS/M9My9H837fz6iSs4FLlPtNVl6uDs6iyqbPtuM1oPbve0fXomXN1dzc7R2Z2nCpzLqC/WosPfu+jbGs6/4fivn7yK83tO6+sa9ms4/qfjyYSrx1N5TL+THmSo1zWzVop57z6+r16O9JR0zOs7A93G9sbpHScQWD4Yd6/c/kN3ufAJ9oWLm4t+DvIDxCyAMWdvYP8vu1CzeV2EVg3DqmnLxST+ffEY7P7xd9HXq31aYXLbsWg1oA2adG0GF4MJlpR869xN9J46EAsGzsKL7Rqix4R++GLwbFw+fAlfnPkW45uPQt029eHi6oqsTCrJDbosHXKys/FCgwi4e7rrlSMN4PMB/xLtF134rx4oCZzIeavxxujuRmPd+p+NcPP0wG/fRmH6jnmY2HK06FNqI1WWPueYz+46KSYwOSEZgRWC4ezijC3/jhTtDcvkNh8ivH4VuLi7IPzFKtj4+RrUaFEHHl4e4oeh69jeiGhaA7PfmgonZ634ATMshvDO7jEVlRtFID0lzUg2zvepbccQf/0uJv86C/tX79bPP/9i+IOz96edeKVnCzxKSMbCoXMxft1UGI7/H8vGYf7b/4KXn7eQZULzUWg7ohNqt6qH0kE+etGWfvgfYT0vHTiPlgPaimeE16+cZ86kZ/NPyWA07NgERzYeEHUNZSsUgIYD40/c3St3cPr346JTHh3vWbFDALj5y0gk3UlAcHgoWg96Xf8MPjjkhbK4H5uILmN66gW5ezUWRzccQGz0HQxfNFLAMHb1ZEQtXCvaSkITAlrZ2xdjMPizd/X9mrY3VYA5AClL22GdsOnL9XhrfB/wp9kUPqmfrh/2QvyNOOxbtVPU2fzleiQnPMQLDSMQe+kW3hhlAHcusGzcN3ixXSMBLC1QvxmDse/np21/mbkCVZtUF9+9PuINfDFoNv4Z9UkePRgq0ZzSCKCXfyncuRiDZr1aoVSAt37+8wPQ8HNz45fmetOi9UhJfgKtVouuY3vpZft+wmL0mzEIc3pNxwcrJ2Lrf6LQZliHPLLP7z8T/WYOwcE1e/EoKRl9pgzUrzAcy1fDP8Nfvx4lgPQoWSKPMWGHZi2gZMHyo9bazw2XAXNtLH1v7XPUevKYARoWaesmSVxoJ8TaoRJiLkH57X1SH6WAe01zQln7DLWe/Geg2ACU/9SoI3geM/DMAHIZpUcrecmS0NwrajRPPVp7FMPlPe1xKjy8ShRZjGdtX+QH/w80NAvgvL6foEm3Zog+fBH9Zw7BT1OXoULtcDTu8orRlBzbdAipj1KFhxbRpIbYcHf+oCeORO7Hrh+3g5t6gsnlWGov7S9NHQECI7W/cuQSLh+6gMz0DL1jYvp81n8Yf1/0u3fVDiEXl/O4a7EoX6sSjm06KNqe33MGK6csw+sjOiG4Ugh+nvEDwhtUQfeP+uD4liO4fOg8ekzsj1XTl4s+XhvSAX6hf4ZnDNu/3P1V4VxkZ2ejx8R+RnMhyU8Z+ANJp41/T01OQQlvTzG2uq81wPm9Z0RYJ7/xS164NJ4azWuL+Ze2Kms+XSnmhQ7Rxf3n9fKbhrXkwm6+TghjgFUaV8OlP+Jsq6Z/jzdHvwW3Ek9jY5zYLf/eIAA7u+sUykaUQ2ZqBmKv3BaTu3HBGnQc2VXAx5zrc7tO6cMgTlotpm6bbTRHB9fuNWrPWNzA2cPztDdstGLyUoYURQmrXgHeAaX1m1zDEIDh33f9sB3N+/5FtJFCL1Kf+YUOpPabv4pEpbovwM3THceiDhnFHNfNXoX01DT9D0LirQTEXbuDl7s1F7HKpNsJCAkPxa4ft4mYZKM3XsZrQ9rrh2PYnh++Nb4vlk9YjGY9W+Dq8WgR1qnf/iUEh5cRbcrXqohPu0/Wj9ecZy8HCM0COOX1seg2rg9WTFqCtyb0FRN470Y8Rv73Q6MxTe84QcTJGBp4nPQIXn5eoCWQ4m0MUVSsy3jSOSAX6DV5AOb0moaH8Q8w7fe5Rkv0NyMX6tszSLz1mygBclZmllF7QwGmdRiPRm80Qb22DcHYVViN8ujwXhfcPHNdgCvF+xYOngP/cgGiP4ZhaIFa9G+DtbNWwifEV1gX1u/yYS8w8PvxpplG45TaN+78Cn6ctAQeJT3Qdngno23HujmrRAyPxcnJCTk5Ofq5WDl5qajrFxaI7z/6FuVrV8Qb/+guLKNUDNtLn2XrcuDl44XUxyk4t/sMuo/rjfXzfka5mhVFmIRzJsnPsXbW/AXrcrfLgTu9jM+8B5TVaGUiLC1zi36vWTxFkMlwChRTBVAJWpTxGFQAZaw8JYiuAqgELcp4DCqAMlaeEkRXAVSCFmU8BhVAGStPCaKrACpBizIegwqgjJWnBNFVAJWgRRmPQQVQxspTgugqgErQoozHoAIoY+UpQXQVQCVoUcZjUAGUsfKUILoKoBK0KOMxqADKWHlKEF0FUAlalPEYVABlrDwliK4CqAQtyngMKoAyVp4SRFcBVIIWZTwGFUAZK08JoqsAKkGLMh6DCqCMlacE0VUAlaBFGY9BBVDGylOC6CqAStCijMegAihj5SlBdBVAJWhRxmNQAZSx8pQgugqgErQo4zGoAMpYeUoQXQVQCVqU8RhUAGWsPCWIrgKoBC3KeAwqgDJWnhJEVwFUghZlPAYVQBkrTwmiqwAqQYsyHoMKoIyVpwTRVQCVoEUZj0EFUMbKU4LoKoBK0KKMx6ACKGPlKUF0FUAlaFHGY1ABlLHylCC6CqADaDE9PR2nT5/GgwcPHECa4hfBz88PwcHBKFu2LFQAi3++LT5h//79QhlSOXjwIBo3bozMzEzcvXsX5cuXt9iH3CokJCSgRo0aKoD2VhwBI2gsqampmDJlCiIiInD58mUEBgbCx8cHZ8+eRffu3QWUSir37t1TAbS3Qg8cOIAyZcoIMWgVxo0bh5deegmbN29G06ZNBZwnTpxAs2bNMHLkSHuLa9PnZ2RkqADadEaL0JkEYG5uLjQaDdzc3ODi4gL+28nJSd8j//3kyRPxOesp4U/+cKl7wCJAY8smBDAkJER06e7ujlO7ovD4TrQtH+EwfVWo1wz+FWvo5VEBdADV0AGRluDSpUvj5IpPEdZmiANIZhsRbt26BQ8PD+Tk5KD6tn/g0cDVyM7OFp2rANpmjp+pFyMAvb1x5ZfZ8Gk5+Jn6dKTGzs7OiIuLw+eff455lS8je9h6ZGVlCRHVPaADaIoASkswLeDVPwDU6XRYs2YNGjRogDNnzgglMlTToUMHi1LHxMSAoZwePXpYrGupwtWrV7F27Vp88MEHlqqa/Z77WXr6BPDTShfh9NcNeq9ftYBFmlLbNsoPQD5l0aJFIhRDCDw9PUXcrFWrVhYF2LhxI5KTk9G3b1+LdS1VuHLling+Q0De3t6Wquf5ngAePXoUkZGRmFb2tApgoWewmBvs27dPbwEZ85MsIB9LiKj0GzduYMeOHXjnnXeskoYKp+Xk6Urt2rWtapNfpUOHDuH69evo1atXkfohgMeOHcP69esFgJoRkXoLyKVY9YKLNK22a2QEIJfgNXMUtQc0XYIdHsAdKbdwJj0RGblPPaXiKu4aZ9R290dzzz+PwIrrWQX1SwB5LsriSwtoBYDh4eE2EfX+/fvw9fW1WV/mzrINnRDuATF8veNawDFxu7H04QWbTIi1nQz3rYVpgS9bW93m9QwB5BJ8zQTAa9euoVKlSkbPNQVw586dAiTuEw2/4+ctWrRAbGwsLly4gPr164OOjlQsAZiSkiL65PFg8+bNwZjlRx99ZHYO2Jc5AI8fP45y5cqB39fcN8FxAdyeEoPetzbbXMHWdLimXEe8UiLUmqo2r7N3794/LaCvbx4ABw4ciCVLlhQI4PDhw9GxY0fhbXLJS0tLE8d5jx8/Fu0I0aZNm1ChQgUMGDDAKgDpyDRs2BBBQUF4++23MWTIEOEQnTt3Dt26dcszD/kB+Pvvv+vrvn7zKwEgwy8s9PQdZg/4RdJJTEs4ZHMFW9Ph5MDGeNe3jjVVbV7HCEBawLVzjfaA33zzDYYOHVoggO+++y4qV64MWjxaQCqYHrRUjhw5gu+++044JKxrrQWMj48XlpNWmODRI+ZZdZMmTYoMYO6wdfol2KEAnJ14FLMTj9lcwdZ0OMa/Psb4N7Cmqs3rEEBaGRY/WkATAM09UE57QFMLSAAlC8gTEYexgCqAEPu46woHMGfoWr0FdHgAg51LYHJgEyTp0jEt8RCalwhFdOZD6HJzUMHFGxm5OnhpXXE6PQGhzl4o4eSM65nJKOvihRPp99DQIxgveQQhXpeK31Ji8JJHCLalxCA9R2dkWOxpAffs2fOnBfTz+58AUDYWsJ93BLQaJyx9eB49SlVBhJsPqrr54OfkaLQsGYYIVx9seHwN3lo3+GrdRfimjnsAoNHgn/H78Flwc6TkZiHq0Q10LhWOUlpXHEuLx/ykE44JIC3gunlGe0AuYXQi6FRIxXQJ5knFrl27MGjQIKNxMdC7cOFCse/j8Rwzq11dXa3aA0ZHR4v0r3r16olEgt27d+PVV1/FxYsXUb169SLvAWkBZQNgE48QDPapiU1PrsNF44Qqrj6o4uaD1cnR8HV2Q2OPEHyaeBQDSldHSScXXMhIQk03fxFDvJBxH01LlMHNrEeIzniIZp6hwiqeSU/C4bQ4hwKQ3iWLPy2gCYAMfTAvsCAAGSZJTExEy5YtcfLkSVSrVg29e/cWffI7njUPGzYMS5cutdoLZjt6zPScv/76a9DT3rBhAzp16mR2H2ytF5w9ZI0eQILt8HvABh5BCNB6YMuTm2hdMgzXMh8hKzcbrhotArUeOJORhHBXb/QvXQ3bnsQIyJygQTU3P9zLTkWiLg013PzE5ww6H0y9i1hdikMCyMs6N0wA5FGYIXwU3NQCchnnforhF/7H82Ip3kfPmMdyBJRpX9ZaQD6XlpcOEoPJjFFKcUVzBCoWQGvdzoYeQTiVnojMIpyg2HMPyKWNSmaGs7+/fx4AC+MFP3z40CjQbGnuLAWiLbU3/L6wAHK8Iqs7l/93gDI38ZhYTu1RJgQ0wv/51bPHo8XeynAJvrH+M4tnwbRGtii8DsosbFsU9kXra1pMwzC6wb845hL8/cOLGB23yxZzUeg+FoS0QC/vqoVuZ4sGRQFQznFAhwUwLVeHDjfW4WxGki30anUf9dwDsLF8Z+Hk2KMQwICAAPHoAC7BJhZw7ty54njN8EacIYDz5s0TXiqdDx6XMXGVyQ0vvvgiSpUqJVK56Hzw9IJJqh9//LF+mAUtwdOnT0fdunXFER//4z6Sl6Fq1qz5TEdxWYNW6y2gQy3BnJWE7DQsSDqB357E4FpmcrHyUNG1FNqVrIi/+9WFn9Y2y1BRBGb4RL8E+/vjpgmAv/76q4CIXqhUTAFkqOS9994DT1WmTp0qnJDz589j7Nixogk92p49e4oM6/Hjx1sFINv069dPODz8Oz1xOkmGR3lF2QM6NIBFUaDc2xBAvQUMCMgD4PLly9GmTRt9sJrjNQSQYRoprsbveO5LZ2TGjBn6qaH3qtVqhafM7BipFGQB2cbLy0skNLBPQs0EBWbFGPZh2Je5bBjTPSAB5H5RKg7jhMgdpKLKbwQgLWDkfEU7ISqARSWlmNoRQIZfWAJpAa0AUM5OSOY7PzuOBUzN0WHN4yuIz0pBDuwbDWLwOtC5BN7yrgJ3jbaYcMvbLZc6wyU4xgRAbtSZ5yfdHTZdgqUezQWJeZzGZZfvmlm8eHGeozpLcUCGVXinl6WgIDS/tzYO6DAAxulS0fNWlDgyc6RSy90fK8u2R4Dz04kv7kLF6i1gYCBMAWReX6NGjURyqFTMWUAmjS5btgwTJkwQJxh0Nu7cuSMuMvFCEE9CCOGkSZOs2gOyEj1mOjUsPObjxaj8irUAZgxcpbeA9KrttgccE7dHJBk4YhnuUwvTgp5Pmr4RgAEBiNnwudEecMGCBQgLC0OXLl3yBXDUqFHCk2a4hm/S6tOnj3BcWGbPno33338f8+fPF5awffv2VgPIlyLRw6aM3CoYwmuqN9kBWOvKcpEm5YilgmspHK709DC/uAuVy/AGSxAtoAmA5p4v5z0gLaB0YsLQjt0sYODFr4tbt8/U/72IP+Nuz9SRhcaGANKK3VI4gOkDfnKMJdhWALb2LCeSTE2Lj9YNL7iWxpG0+CLx87wA5L5KbwGDgv4nAHRYC9i/dIQ4nbinS8X78XuQnZtjEZ6N5d9Ex5vr89RjCtY7PjXwQdxu/XfOGie0L1kRkY+vWuzXLgDSAm5cYLQHtCYdi4Mx9HJ5A457PcLNpFRe62TSgeFrgNmmIC/YMCE1KipKODa81JTfPWJr94Bpb6/UW0CHWoI1APZU7IHhsdtBTzTy8TX8FNYOsVkpWPzgHN70Ckc2csGL6+/58QabBp8kHAITCU6kJSJOlyJu1WmgwYqy7ZCUnQ6eL/+cfFnflomoTL2aeG8/wpxL4rWS5fFD8iX89uRmHiCfN4AMtwTTApoASCekatWqaNu2bb5OCL/gcdno0aPBe7i8xUbvl2fE06ZNE29a5f1jUyeiIADZH6+EMot6xIgRAj6+KoRnys9yEiIByPHydMZh9oAEZ3fF7hgau02k0g+J3YZloW3wlxtrBDSMzTUtEYpZiUfRwrMsrmQ+hJeTK94sVQmdbkbix7B26BazEaW1bviqTCt8HH8Aw31rI16Xom/7ftxuYRUnxu/Hl2VaCQt7MfM+5iYetyuAklVhXuBtEwC3bt0q3g9TUEY095E8BuNrfJl6z/AGvVcWfkcLyM/oTRuWggA0TEgl1ElJScKz5p/8gTAt1lrA1P4r9BbQoQDkgN7zrYMmJULgp/VA/ztbsCS0DTrcXI9PgpqCFrKcixe+e3AO4wIaIjUnC9PuHcLUoCboErMRK/4AkCCvDGuHaxnJcHHSigRVqe3IuzuxrGxbLEw6hRG+tcUFp7u6Jw4BoLCAwcF5AFSaFywByPEy09phLKDFTdkfFVp5hom7HsV9if15LcE8rJcSTEMIYNQXij4LJoD8bQAssgQwxNkTgc4eIv2+OIsjAyjnOKDDAFgteqlwFByxMHyzv1LP5yIaLaB0gYi31+6YWEC+DKhz584F7gH52g06BnwfMwtPLZg2xX75Uss5c+aI97AwwdTwVpu1Cal8KyuPAm2RkJrS70e9BeTJjd2W4PHx+/Dtg7PPRcmFfci7vrXFhfjnUSwBSC+Ym/W//e1v+XrBPANmuOX27dtCucwF5H+S1ztz5kzxNgJe1axSpYq+H0tecHEkpDoMgExG6Hd7M04X81JaWIiYor8irL246P48yvbt28UekJvyMrSAmxYa7QEZy2MavJQxQ5kMl2BeyaT3y6RReqv0UCdOnChCMl27dhVDYKY0LSD7oEWUij0SUp/0/UEcxXG8vCJqNwvISeAF8l8eRSNBl1ak65S2BMRFo0UZZ0/xBgXeOX5ehQBKS7A5AM3JIedbcQRQckLsugQ/LwU7+nMkAIUFLFMGsSYW0Jz8cnZCHvf53nEsoKPD8TzkI4DS2+fNAcg9IIPQll7NYe6uBi8z8dUa0hIcGhoq3iNozRLMOtIbUqVkVJ6O5JeSZW0gmgBKFtDuS/DzULCjP2Pbtm1GS3Ds5kVGe0DebuPFoIIAZPJp69atcfjwYeGtMiewTp064iVCbM+LS3RCmCdoLYA8/+VVTJ7OMBmVF5JmzZol3pZqzgJbC+Cj3sv16VgqgA5AJwGULGAol2ATAKWQiqGohgDwCI6/g4O/5JDXLnn9kr9WgRk20q91oBdMa8ZzXMNfdGMpJV96Qypl4C+94cuJ6EUzLGRaCgOgZAEps12dEAfQv91FMASQS/BdEwCLsge0BJa1S3BhJqcoAKoWsDAzXEx1CSDfYMDCPZotALRWVGtBtaa/wgBIa8yiWkBrZraY6xgBSAu45UuLZ8Fy9oKTey3TOyEE8P8BCH457vzWdp0AAAAASUVORK5CYII=

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

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)

data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAAAXNSR0IArs4c6QAAIABJREFUeF7t3QmUXFWdx/Hv/1V3h00iIogKKC6ALEpAB5Ctu5plgKSrAwR33NdxAxUdxoVl1FFxx1HEBRRQyZB0dRQE0tUBZlBG9pFFEBBBNtkiBEin6905/1qSSqeTVCeBvnB/7xzPkXQt937+r97vvftu1TW0SUACEpCABCTwtAvY0/6OekMJSEACEpCABFAAayeQgAQkIAEJTIKAAngS0PWWEpCABCQgAQWw9gEJSEACEpDAJAgogCcBXW8pAQlIQAISUABrH5CABCQgAQlMgoACeBLQ9ZYSkIAEJCABBbD2AQlIQAISkMAkCCiAJwFdbykBCUhAAhJQAGsfkIAEJCABCUyCgAJ4EtD1lhKQgAQkIAEFsPYBCUhAAhKQwCQIKIAnAV1vKQEJSEACElAAax+QgAQkIAEJTIKAAngS0PWWEpCABCQgAQWw9gEJSEACEpDAJAgogCcBXW8pAQlIQAISUABrH5CABCQgAQlMgoACeBLQ9ZYSkIAEJCABBbD2AQlIQAISkMAkCCiAJwFdbykBCUhAAhJQAGsfkIAEJCABCUyCgAJ4EtD1lhKQgAQkIAEFsPYBCUhAAhKQwCQIKIAnAV1vKQEJSEACElAAax+QgAQkIAEJTIKAAngS0PWWEpCABCQgAQWw9gEJSEACEpDAJAg8LQHcx77TMjpfB/mtAwwPtdPPEsWvBZg+SOVV7Tz+2faYEj2HGNmWAf67zNANMfVvJgduDqOlgDX2n+qFAyz4y9g29tH7zxls7f8e4KEyQ//1dPXjeI7PruKSvQvYNoFqxxIKw79h6LZ1+f4Hs/vG67HBETmWjTDl5+dz/uJ1+frtvtYMuvcoUHh1IOQLyU9fwILRdp87mY+bRfdGI2RXGJw5QOXfn6q2rMlnaVXHn/b3/569MrId6/0KIwNUzqh/FMbfShR/D3ZNmaEPPFUWMbxuHwe9whjdBdg0wG2DDF0UQ7smow1rFcB+AOpgw3dl0DFe4w378wBDA/0Ujw/wqQC/H6TS205HSxR/AxxSplIA8nae82x6TIne30I4CMKJZYa/EFPf+ug9wAjfB6YAW4J9uMzQ98a2sZ/egQC7AlONsHiAyuZPRz/ewsEbP8bi/wF2AkaALuDCMpWDJvj+WYnit6rwlV9T+dvY506n5zUFOB/shV1kL5nN/L9O8PXXycP76f1WILzVD2hdTNl8Nuf/fSIv3M8BuwSqh5apfHEiz1vbx/bR+wIj3BsIPxlk+N1r+3qrCLYLgAMNThigcnw777Oq40+7+3+J3u9BmA48B9gkZ+GG87jy8ZW3s8f31YvLDB/QThufiY8p0XMC2OchLAHr9D5UYcvxPl/j9W8mPfvl2Ov8b0b46wDD5/Sx/zQIRSOYEf4xwPAPm8+dQU8pww4Fng/8KWCeJxd56HfTvd5zyd4b6scxAhYK5LcbduUcKnc8Hb5rFcCNHfFC4ObGmd12wAPAg34wAB4rU9nGO1Ki9weB8Mp2A7iP7ld0kG08h8pVTwdEjO9RongThF/FFsCtViV6FwLHjRfAzceV6DnasH99ugK4j553GfZjsH3LDF3qV1qwuDqb3z0xkTq/mUM3WcQTDxkcMkDl/PGeW6Jnd7DfT2YAe7v66e4OZMNrEsAlip8EPlOm4gepp3Xro7jvKPnN57Hg3qfyjfso3pzB2e0GcLvHn/b2/+IMYHB1ATyd4j91kN8/3mjSU2nzdL32DHbbIGPjR8BO72LTD/6dv9uGbPic3/Cbh9ttQ4nilyF8AsxHmy4pUzm0n+JHAhwDvNRHEEbo2sNHo0r0nAL2LwazPZcCHOyPCfCtQSpHH8ZBL6yyZAGwrYczsGH9gqIWxicNMuQXPisdsWi3zat63FoGcE+fYeWF5J0+7FWieIfBT30nL9HzIbAvlKm8oDWAwY428sMDmUF+1iDD3vGlWz/duxhZ7Qwnh3vLVOaN0wHrp3hAIOxnZOv5MEaAjkD18nks+P1EYbrp7tiY7PUZvKyKXT/KyF+66PQh1icHGTr7QA5cfwNGZxl0jsKt86hUSuzvV6e9EB4M2OmDDN3n7+tn9RAOM3hZ8JM08qt3pfsXx3N87Srez9YK5K8Fbn2SRVd08Zw9jXxzI796Lgv+uHy41QMYuBysJxDuzwinDbDgkdbHzaR7pypZfwbPD3BPDvdlhJEyw2dP1GJ17R/7eu0dgNZNAM/kwJ2qLDnQyLYIhNs74LzWM9Xd2K3zhWy8QwE+CHaUkb++vh8V8n9QvWGiQ7PNAA5k0weZ7yMyK2zNAO6gc6cljO4PYSsIlw0yPGccqx0C+aGGbRUId1bJzl3TYfFZ7D91BPaA6gs64MoqYbOxAfwOutd7BOsL2DSD9QPhjhEe//H5XP6PMfuZB/BxZSrPW9n+4p+RqWQHQ9gDso0g3L2E/Iw1Dc5+eo40bKq/X5VwydjjwHR69+wk7DRK/n/+mIzCDMgXQ+dPy1x458T363oAZ3SemjO6e5U8GB1/GOSiu9fg+LP0Ke3t/6sO4H6KB9vSA3+4aoDhK8fr3+r2/xLFmfVjQH4R2G45tifYnYFHTht75e2+GeEQwGt5Z0b2mMHdcxn69URtD+bgKV2M9Ad4jZE/mZFdNZeh81pHLvvpfilkrwpwHoRjjDBcrz13zWOBX7S1vfVTvCyHWwepvK35pD56X22EazNsu7kM3VziwK1g9K8B++QgQ1/3x/XT/dxA9sdA+O0gw+/xfyvRuw+ES0axl/tn0T9Xi8k/Z/CJjPDuuQz/pO2GrcED1yqA+9n/yEB+dplKbQh6TAAfBdn3ywz5WUXtChiCg00BuwGCXxlnRr5j6xlfP8UvBHinwXNzuH+Qip+dLLeVKP4bcEKACw387MmHGPzD/M0yFT8Tanvz+zk5ox7y/7TsSeFOagdJrs/I9zYKm1cJZYOtDf7gAWdwpMHCUH/fr5SpfMaf30fxRoPtgesN/hFgz4D9cJCh9zf+/gWDTzVGCtztxc33DXDm31j4riu5cknD86bGfZKNDG4Bdgb+uJB8WjNMGkMyC+rtCjcYtl/jTPCKMkO1E5mJbKtr/4q1eHqugEv0fBHsOMDvNd8MtksgbJxhHx5g6Md1r55DwMYNyhx6/cSpTQsfevYhqBcCPmRVbfzPn76oi2yb2cz3K39/z9oVcH1fsMf9Xh/wkkA4dpDhrzXfr5/eYwPhSwH8JPU6wE/CNjN47wCVn7fZrtrDGiNPPwO2aLTL23gZ8PrWK+ASRb9N4PcT7wpws8FewJ+7uHfX2dwwMpPe6Tn8CoIPwflreNub21llKu9q/keJou/fXwYeCnCNYa+F8Pgo6+8wkSsYf733sVvnvUz9g3/G3Wq8oeF+it8N8N76lU7wY8j1AbbN4NFOOrefzQUPTcysFsCPBsLOYFmjv4v9szhA5bvL6rT640/r+66LAG7cbtoewov86rBM5X0rfs5Wvf8fD9k19P4+EPwz/2hthBa7nVp/w4Iywz3N1+yj++1Gdrr/uwc0hP39NgrYf5UZmjUR1xl0b5+R/RrC1gG7zGA9YHe/aOii85BmnUoUPWR9VHS5zY95rUHaznu3E8CH07PjKPbHgL1tkKEzl/V932lG5+LmvJqxAbzsccUhPykqU/FR3adsW6sA7uOA1xrVT5SpvKl+MFp2BdxPz25+37fM8Bvrf6sF8HvA/rnM0PwZ7LtNRseNwEnj3XvyewUBe9P4Adxzd8B+5cMI/tr1oYRRP7P6TZnKZyei1Ufx7Aw7COzwXdj7kiu4eOcC5pOFXjHCoqmtVwstB7QbOghHnsvwDTPo3v05bPinsxvDKH307BUo3DmvcT+wRO9XIf/4NPZbr3kVXKLo9yjea4QzOlnvU108tPgxNvo4hBOAzzY96kPQrA8de/tZfz/FNwU422D3ASr/2wiAMw3bfoCKH9Dx+xpTyf7TT3BaP3TtmrTT/okfgNbuCriPnsMMOxfsOwupfsJPPg7kwA3XZ/QXPk8go2OXuVxYGz1onFC9F/j3Ap0v8n8rkI1O/L5od3dO4cVGODOHLxqh5p3BotaJhM0ABn60kPyDm7FZWMyD8wx7aZmhHRqfC78S93vS3+1i06NnM7vauGoYCITuHF7R7j2wWRy82QiLbzD4a4bNmsPQ7TMp9uRwzth7wH30bAeFDQaZf3VjX6mdoOTke/pIUeOKwK8AjgjYkRDe0Kxtgewmv5Jo/vdhHLzlKE++ZJBhD/pQoncHCNdn2JvmMvTLdvevcYLlNsN+Nt7QcImijyIcZIR9/aqwfkwxn7T1zgEqp0/kPX0I2uCVhr3/Th756RZssVGBJ75n4J+p/QapXLL8fr3y48/E9//2hqD7qB30bx0bwBPZ/0sUHwP7a051X7+y7KPnGMO+XoCXNkeL+ui5NMPuH6ByuPelPpqSn2OEewYYfsdEXEsUrzV4YcC6m6HWT09vqM2NyOaUGaod//020BKyFwT4M4SPFejyYWEK3PmgnwxO5D3bCWAfDduSqddBeLlhA8ANAftjBsNzGfJbpLVtZQHcPOFcSL7+AhY8OZH2TeSxaxXAK36YlgXwin+rBfAuZSp7NP/WT/HKgPks34+N88FcRQAXfVLF7oHgsD70+0hG+N2dPPo/zavHNhGsRPEfEL5WZvjElqIcAWH2SgL44C46d13JGbj10XuU1a70w8vALBCCYdtk2PObhW8E8CEvYOE2P2xc7TYO1PP9qqZMxScP+QnNTWCDZYaO9f9uHDAfzgn98xguNx7jowH/bjAH7C+BfKERruukY7h5ldamhT+srfZP/AC0dgFcovcMI5Q6uXfz1g9rHwe8yKj+Dezfygx9qaV+/wLhlDKVtdq/JzIEnZO/ah4L/ISJxkHvhDIVn3zjoyIn+5AWtSC3Rcv8wg4B3mpkbxhgvgfoarcSPUeBnRHIdm0Ga2M/8GHkr7VeAR9Gz1452dE5YUerTwTyA8+rDZvpkyOXedXuAa9yCLrE/jtD9dNgrwF8qPoeYDdqJ9mVk1fb8JU8oETPKgPYsGyAof7m0/so3pPBqe3ey215np9MXDnYuFjwf5/FnuuPsP49Vr83/KHl9+t4Angi+78HcCCc0Bx9mUnvtjnhT8uftNcuAI4CzgV8CP4RyK7IefjSVU0SG1vCQ+l9WQfhVsM+PcDQV5f3K/4wwNumsOlGfsLpf6vfA566aOxV6UT3nXYC2F+zcTL+KYNiAJ+N7iM9j+WEty47fi4/BN1sy0yK783hh2syp2Ii/VmrA9TYN2q9Al7xbytOwnLIgP1hogE8i+4tFmP/AfZ6qx8MfCirEAg/bo7tt4PQOEt6ImDHDjL0jZYDuN/Lu2j8AA6vWNksxRkUP57BNyGcDdncDJ7MCYcB78zJN2ve6/AANsKrBhjeZ8yH/geQvW3ZsP3yk7CaO3BOPnMeC2oHUO/DVkz9fA4z/Ey0MRTvw/w3LqS660TO3tpt/9MdwH0UzzN4SZlK4ysd9RbMYlZhhAd9GPH7A1Q+0lK/dRrAOTZj3krujY03CatEr7+/35bYyNvUT8/pAXt7wH47dr80wpJA4cRBLrqinX22j94TjfC5sftmH/X5GM0Dhs+lCNj/gv3Br84N7gXbORC+4oNGZSpzxwSwj7z452iF7WC6t+wiu7E+XMkpkP8lYH475luNEZunLIAhPFFm+C0tbf2LwelrEsAG55ap/OuYoLjOsNtaQ97/vqoRuInv/2t7Bdz+/u8BbNgxAwzVZgL7vddA5kPRe5QZvtz/rY+9npMxxW+HFA02C4TnNmYkD5epFNvZD+uvXfynAJcHOHKQSu2Ktrn1UfRbbce3XnisqwAuUfTRpL82R14b9ardCsoZfdk8LrndvwnxOEtePJf5Psrqm5Xo3Rvyn4GNNIeWV34F3PtVI7xvYCWfiXaNVve4Z2QA+xlhgK8PMuT30mohtCUb/zRghw9S2WAiM9caZ1PPn8KUvXyYsj60ueTXYN0TDeB+irXvOA+0fNWqj95PGOHksQEMvBU6tmtOKKmfja93vWEPDFCp3Y8eOwt6vACuX23xQJlhvydY2/oofsBDqQq7/7oxVL26HaHxgWqr/RM/AK3dFXA/vV8PhI+NYtu2TlpaNgvfPlBm6NRlB+laAK71FXBjaO4Rw9420HIfafn+rzgLemwA91H8rMFJRr7N2BmuPhQ9ke8PN29DBMLhrRO9ShRPA97TDOD6e4bPLyRs3DwJ8+/jGx3+rYIxAdxzNNjXuth0SvNqZfmDaf2eYesw5iF0b9FJdldj9vQzJIBtURfPe22zj/0UXx4IfmLx7TIVn5exdIspgCey/7cTwCV6vmrY/AEq/g0W/P7x1RT9K2ifCdgWzQmlqztm+NdQu9jQ50L4fet3tjze+um5JJC9vMxQ7TaQb+sugHt+CfbqMpXaLZ7GsdLf/yfNIePGcfekUdZ/ceschbpl/pEyw/7VxHGHoGfSu6nvFwEuKlNZevLXOEYeHwgHBbJfDjL07dUZre7v6ySAZ9D7uozqVKPwq0D4jZ9lFFj/pjmc7x9QplN8cQE71WeI5uRv8KE6vz/lZ+yG3VTFPur3TL3jOdVp/pxA9nZgfyOvzXQz7OHm7MD6fQ4eNOxjRuEyY3TLHH4Q4AVlKi9ZXadb/z6T3j1zwnyDJXl9csmrIPhkgUIzgP2Ke6T2ndLCx+uTpqq1D2ug48HlhwF7zgSbbtixUL05JysZ+JWZT3A5bCH5RQtY8FjzHjBwR8C+aeRLDHu3f2c2gyPnUpk9g54dM8yH2itd5MfOZsG9ffT2GMHHVU9YzKJv+P3pxn2yf87hOL/nYox2Gdmn/WDcPBts16NEe+2vDz1VX1Z/3doEjB9Rvx3gMz+u8FnaflK0NRu/Pid0QvYGavcYq7V7TgWyhyby9bIZ7L91Rn6t324wODonvwUKu/uJTYDHl7Bomlv4ydMGjO4V4Ij6PXZ8lic59uSu7HNx8x58ux7euRLF++sH6Y6jA6MvzvzCGzvU4LWLmXJXFyPvgPADsDdOY5/Z17Bg40B2IgSf/LSPX3U0hsr/CHaXET5ZpeMWo7qd1U7C8iMzssPanX3a+PGK6+vfrbYvBXKfaDLdajO/va+12xODJXrfV2+XT/zy/cheZ3AshM39u+VV7IfN+871yVhhnhGOG8UuKBD2Bnxex2M+2lO/p2d+e+RHRn5WoLAd5D4cvY2POlXJvjSR2dz14ezR2rcjIDsLuKB+ZeKfqc4bfGZy48rtLJ/UNkr2bn/9xkzXit/HXkL10+3OwPbPkgeO1SetDUH4ScA2NvCJZRtXYWe3aPf4087+733x+RRGWD+Q7eVXg7V/IvcRtycGGfarOKZzwCsLLGkcs7KvB+xuo1qbtVugcNschm5rd//3b1gY1ct98msXHSfAxguX8MDhPl/Gj0OPkP/IT8ZK9F7tx2KDT+YULjTy50L+VbDiQvLN/RjV7mekcXLgE1+/khN+XiB05mTHNu6tf2SQyimN4PKrZZ9wOidg38gI83PMv+JzdbuB32xTH71v8bkZYN8zwjdHsc0LhJ9DuL05Otn4atJ3/KtKOfn77+bRW7dmk91zqudAdlWZoen1EbSHPuAn6z7fqACPBfKdA/Zhn3sTKOzUOkt+2WhCvSVd3Dtlovevx7qucQAfRnHXHPoCwWfbfX7FgvlkCQ/j2hepfBjWZ/D6dpfBjwPmBwgfMvXtOoO5PiTiB62VFN+HGv+j8Xr+wal9eXr5zYPUajv2RLYcXl4/GNa2xw27KBD8a0hf9q/zhNoXuUNtktOYbZHB0rP/gG0Dwe+ttG4+a/el/g/1+7T8n//CV4AtMsy/GtL61Y+aQ6OPfs+wNoTZmOF6KeDB2twGDa724R9ghV8LC3CLf+1iIg4TaL+fFb5iJa/tw8U+I3tLP6lYyWMeN1g6Q7idNjZ+0MO/T7nc5hPZ/N53w8yHqD18x9nC93x0oZ33an1MDvv4PaQxz/OZwP9p2NbL1zt8L2DbGiz9IQUD/4WnagCfnVo7IRizPRCw03w/a7dtAdsJQu1kpmXze3m1qw2Dbwfw7zz7iaKf/DU3/6GQ2i+TGfiVcO0rfo3PsN8DHfs94EsMhut/z3yS4MYtr+X3k/0qwu8t3+q/ZtV++2vf2azdH19xC7837IKccJTPnWj83e9h/jKA36uufasC+J1B7QpudVuo33/3z5LPnB77VasBAz+58+NUu8efNvZ//JsL/r4r2cKXDFvi3/ho1mTFB9qNRqjNDWhz/1/6gz1+9WbYLRBa7m2Hs/zHkeqzy+v7SuvWuk+szrT595zQZZi/3th9x28V+C9/1bYAK/sxIZ85vQa/hGUfGXPs9LfxCar+bRHfw/1bEqXx+uHfSskIPodh89A4cR37OD+xzLDaBWRLX9evX1zVtgcMlv74UI7dMsiQn0xOaFvrAJ7Quz1DHuxDDGB7+JXmU9HkRgBvksGEvn7yVLRFrykBCUhAAmsn8LQH8No1N65n+w37RxmZ4T9j5lfDGXzOCDeMnSS1LlpdH0Is/NR/caWDjvcsYWR0kOHmL4mti7fQa0hAAhKQwDNAYI2vgJ8BfWu7iTMpFvPavaHa5vc/5gcK/zL2V3LafsFVPLBE0X9ZpXXCAs1fb1kXr6/XkIAEJCCBZ4aAArhRJ5/AM5XCBrM53+8TPmW//+k/lLER2dJfhFmfKSMT/ZGIZ8aupVZKQAISkMCqBBTA2j8kIAEJSEACkyCgAJ4EdL2lBCQgAQlIQAGsfUACEpCABCQwCQIK4ElA11tKQAISkIAEFMDaByQgAQlIQAKTIPCsCGD/TeAMtslh0Zr8GskkuOstxxEoUfw92DVlhvxnHLVJQAISeFYLrFUAH0Zx39H6b8w+2cU9p/nvYvrvQhvsawT/oc8nt2Dhqa1L7j0VmiV6ZxvhgADrl6mM8xOVq37Xfg7YJVA9dLx1iZ+K9uo1xxco0eM/x3jxylab8kUOcsKN86hUVmbY+IH4f+8iP272BH7T9umoSTvtfzraofeQgATiEFirAO6n+N1Q/9H2TX3llQGGT+qn99hAeBewnf8ecXOVoae6uzPpeVeOfX9NArhEbT3Uz5SpjP0906e62Xr9FoHpFP+pg/z+sSsGNR/iPyIfCEODVLxe427T6XlNAbsGbMfmAuGxILfT/ljaqnZIQAJPvcBaBbA3r0TRf2zeF4V/fIR8u/NZ4D9g7Qvd55AfUGaBr6JS22Zy4E5VlhxoZFsEwu0dcN4cKnesSTdncfBmIyz232v2H1n/XyPsNzaAfTm5J8ln+tq7hnX6ykuL6Tpj7PJvjQBe5YLk9b727hDIDzVsq0C4s0p27thVYProfYGRvxnMVxv5h/9GaH0t22ULxrfb33ba78PvBcJLIVQ7uO/MJWz+okDmPxb/3IysPJf5/90SYKtt/6ra5qvFQF4CKwRY8gj5L5ctddfbUyDUFmgYJVzWiT1WBb814D/k/98PM3r7c8neGODVYH+6i0d+ciVXLvHH91M82GBL//+BcFVz1auxbakHGJVBhlb6I/fNAO6gc6dzucBXDRp3m0H3841sFrBtfUHyML+5Qo0/oemaES5bQvai+gIL4cEuOk+bzQX+o/4T3tpp//Ecn13Fxb660W4Bywy7tot7Btdk1RVf4nIJ6x+RYzsbIQ/kN0K2VYGOH87lwvtb9wurLRASfLWgxTnht/MYvtj/7ivGLOahNxYIG+S1H6ixy/zEZgbd/R1km/ljcri3TKW2sIMvb9RHz3TI9vAFU4z82hHW+9VEllxstmt17T+cA16ZU+2GcP9UwgUPUdgTqr7YxPWDLLiy9Qd1uunumEp2sK+LC9lGEO5eQn7G2BWV3P9qLvEf8d+98fzLwJ6A/NHmerrevtXtPxPeOfSEJAXWVQDv66uMBLhukMqbxwvgEj1fBDsO8JVrbm6sVrFxhn14gKEfT0S/sRzV9xsrqlQbK774YtPTWq+ASxR9NSZfgcZXAPmbwX6+HFmZyv71EwJfho1fQfBha181pnVFmrPKVPxKvrY1rux9Ees7DHwdYl8daTOD9w5QqS2q0DgpuAZYAsEPYNv6og7+t42YMvUszv/HRPq5uvbX21U8J4D7+/JunwlwvN8S8AAG7i5T8SXA2mr/6to2kx4/yTkP2MBHNzrggOYJVB89Zxo23ZfJC9jHM4KvGOQroPhKUD8B88WwXwHmoesH897mUHKJ3t9C2B7Ci8B8bdH3tbalsUyih2VtDc+WOlXB+soMzZ/JgZvnjHrgbtKope8X/j/fPCCWLlNZoscX22iuXPI/frIEYVqAUwap+PKR7jUQCN6fRxor6fwJ2DHAbVO4d6eJBGI77ff3rJ+81VYQ283gd8HPZeD1YDcbYcYAlVtXV6OWv2d9FC8ymAbhQjBfJ7u2mlSGzWguf1hfKpQ7IORgV/hoVn2/zd5SZv7Z/XQ/N8euaqxM9JCvfFZm6HuNdbSnGawHYUGZ4Z7G8P/59TaHBWCPQzgA7I4qdDeXP2yzD6ttfx9FX3Lyy7Uuwd8bJ1O1l/fVgKaQzZrNfF+v1i8UfAU1f6zvl77s6GshPD7K+js014s9lL036aDzvMZn9j4/aV+24k74WZlhXyKVdvafNvuohyUusI4COOyVYSf57ykHwt6DDF/WegXcR89hhp0L9p2FVD+xgAWj9YXvR3/hAZnRsctcLvxjO7U4nO7tR7HrwIYDdtQUnvfACA8dAfnPwUJrAPv6mFB9fJBhP3j6QvUfNvhugc4XzeGCe/zgEsj2gXBEqK1XG97QbEOB7Ka5DPkiCf7hfT3gyxx+t4tNj/YFvX0h9S5G/CDdncMr/ODST+/7AuFUI9/E18StP7e2OPw3FpJPbV4tttPPentX3f7m69TXYw7/61cvhn10F/b50XUseNEItumvGb623fa3065+ip8NcEwXm262IzuGa7j40xB+4cPG/jvXAbYjSzG8AAAbsklEQVQcpHJg87VKFD0UdwD7r5zqBx+FxzbBdn+Y8D++H7S+Zx/FIYNbVwzg/XcOVLcxzNf3vNaXCms8rzqFcHHjXm/WR++BGWH7AN+E8LFQP9nztaQfKFO5zP+/L7zxGIt9ybK/jLDoAF9HuHFQ/TzYCUY4YoDhcxu1uxryF+R07jWPC28vUZxZX8+U/QapXNKOV/112mq/72eDwIEBDmy+vl/Rd5BVAuGWMpXayVw7m18djlL1/beveXXq69Nm2FwjzJq7/BXuAUt47DK38CvAa7jkvwNhYZnhg/29Ggup+0jVZWUqzSXefK3kG4Arm4uWl+jxdZHf0dp+H/XKGb0swMWDVFZYTnJlfWm3/f0Uj/cTPV/SrpPsPU/y8APG1KMM/AT9R2UqvlQeh3HwlqM8+RI/Nnk++2gWhOsz7E1zGfplYx/wpS2PCtjbBhny5RX9JOD9Bv8J4ewyw2+ZyP7TTp30mLQF1lkA+xlwiaKvZbvVQvI9ppItaQ5Bl+g9wwilTu7dvPXKobFQ+d/A/q3dIdp+il/wq7wRlmx+Ppf6WW9tK9FzCth7WwO4sdD4BwO80gjrBczX793eyKcNsMCvVBvPrd0DXukQdB/Fkxtre37RsEXLdpmwQ4C3GtkbBph/zkx698wJ/gH/HdgfAuEfvkh0jl0wwbP/2lu02/5mABvZEQPMr4VH69Zu+9v5KDQPXFXs9Rmh08Cv9E8rU3l/iaKv9fy1ASrfarH1AP7zNCozj6+NVq58W1kAL3uttR+CLrH/QZD/Fvil1U7k6luoX8n5utY/KFOpLW7fWLj80jKVj/p/+5DoCOs/DvbGMkO/aser9TGrGoJuvPajYKeWGfqX1uf10/O5gJ3YRf7C2Sy4t533rb/eBvdC/iDYBYHwMGT3FSgMtZ7s+onwBiw5JtRGimzLxjrCvlbvfYNUdmm+Vx+9JxrhcwXyreaw4K4Z9E7PCPNaP0sleu/z4M4wX+1r6VZf25eXdLHpc/zkdV22vx7A4TgjbN486fXX76f3x4HwpmlUNvL9zk+CoPppsNc01gT29WB38zWTy1RObgw9LwSbU2aodqW7bL/r+aj3a5AFZ0xk/2mnn3pM2gLrNID76X5pILvJr8L8SrAZwH0UfZH2l5Sp+ILpSze/vzTCg4v9bHWgMfS3unL00fMjw2aVqUxtfWwfPccY9uVmAPex/6FG/mvgPAg+3PiIX7n4gsqB0V0HueTqZR+wWgB/tkzFh21X2PrpOT1gbw+YH7iX24ywJFA4cZCLfPjOTwSO8gWvjezlEPxA5veoH8vJXzePBTetrn/LDnjtt78ZwCPkWzXuwS/3NhNpfzvt66PH72ufE7ApRjjS7wlndByUM/p/OR0v86vFFtvrDWYPUDl+da/dTgBDGC5T8QXdx92a94AzOnYeb1SlRNFXovIVqS4P2MOtL1K/T2rnDDJUW0i8EcAXlKn48GXtfugID462XjWtrk+tf2+83rjtn0X3FiNk94x3MtpH71uN8PNAtusg85fut6t77xI9uwfss1a7747viz48T8De0exjP8Vf5T7YQvgm8Hsj64L8EwHbYJCKh1Vtawzx/9XgP7yW9VqFvDljfRY7dI2wxWLgjoDduHzbcozs/jJDbr/Kk7Dlvdpqv18B+4l37VbLss9P0ft9Uk6+2Sis10V2I9idwCmQ/yVgWxv4iaJ/7k/uY6/nGFP8hPlLZYZ9Tsu420T2n9XVR3+XwDoNYOfsp3iSfyDq9yTrk7D66f16IHxsFNu2ddKST3Sx+v2pD5QZOrWdcvRR/2AVYLc5VK5qPqdE8QKguxnA/fSeGmrvP/zy5mSMfnr7A2HuigHcczTY17rYdMp4Z+jN9zTybcbO0PWh6OYEk356enPs4NZZus0rRj9LH2TY70G1tU2k/asL4Hbb31bD6vcqTzZCd4ANwb5ohNMDnAO8epDKTssfRIvrMICLVwTCtYMMv3vlB0i/0smvKxD2nsOw3zZYbptB9x4Z2e8M3jlA5fTWP/pEnc3YLDT3gXUfwKtuf4ni3xvzKHyOwtIVuUoU/VbNrCfomHohF7aMwKy8Yo3A/METdLyt+Ryf1DdC7rcq/lymcmjjhGIRhK+UGfb79bXN73/nhG1aA9j/vUTxNL9lZHT0BUavCLV9fWjpSWmJ4k0Q7vHRsLEta/2ctLOftdP+xvGmNgQdKLyueRLsQ8clin6LYMcylU366H67kZ1egJc25ywcQvcWnWQ+YdS//XByvX89t4H9fRqVPVtHa6bTu6fB6DyG/jCR/cdfs2F8CrAzhP8sM3x2O/3XY9IQWKsA9g/0EvJTQm1Yp3pMRuHqRRSeXI/RPxm8uBnAM9h/64z8Wh/WMjg6J78FCrsb4eQAjy9h0bTmvbjVsdcnjdgNEB4DOzGDvwWCX3X6JJ0qhL18tmKJoofdpwLhX8Euz6AnwKeADQN8qICdM5ehB/39GkO984xw3Ch2gR+8qX+96jE/w28Mlf8R7C4jfLJKxy1GdTuDt0J+ZEZ2mE9qacym/poPY+bk316PDR4ZYfHhEPwD+K4yleWG5lbV13ba/zDVhc/B9ipgrw7wnUD+VoP7qlh4rH6P1Sdj0W77V2ff/LsfkAr1ofbqCFOe18niuQZF4OQyFTdmJvu/Kmf0xZB5n4ch/5n/u8GfW09ipnPAKwssaUyQyr4esLuN6tf9sQUKt81h6Lbm+5bo/a9A2AvszYE8N6zfsDfkhOPmNcL0zRy6ySKe+LvBnJzsy0bY1r8qlxH2eZyOracy9ckRHrzUJ+wY+MjHpYHw/IDNMniHwZkDVD5+KPu+qoOCTzi7PNBxjK8N3ey3j7R0Yl9pTvBp12117S/R81GwbwM+4vLNTvLqKOYnG0e32rbzfsu+jsWlED6VE27N6NgN8rMg/GbZhKLeuyH4EpxfCIQRw3wCXJ/fI8/I3tY6i34m+74qp8Pv+/q99cfKVPzKuuVEofdDEL7n+3/Avg/5YiPzk4l3QHh5mYpP8Gprqc9229+8Bww8APbNQPDa+1yO3oB9YpChb/iJccD82xg/MvKzAoXtIPfh6G18PkGV7Et+YdBHz7sM8/kFAxnhWzmZzxx/u9VqEL5TZvhjjUBd7f7TrFFj4uKC+n+HO8sM+yxtbRKoCaxxAB9Gcdcq9iUIBzUtG/cDFwTwM2Cfmftzg9oBNMCuzVmYrfZG8IkPtcky7W457NM44Lc+5W/UQr82xHaSEXw4uTajtWXz9/FZud5xv3dZ+2AEgoF9CBj7PeBLrBYetfa/rjGjemwzHwjYaRlhJNRmPC/zaHngE8A3/Cy63T4GeN7q2h9qs8lrow3jbUvt221/u23La1+PCZ8Du98I3w/gB9m9Avwiq7fJtw8FqH1NZfnN/s8Ic5r/FsCHJVdyULIbjeBX1rUtJ2xl2NKZ6Y1/9pnQpxph6XyAHPoNlg6fNh7nw6e1E6CAbQHh/eP01+9PnuYnMQH8vm9tyNZDGPAD+NKhyQDnZ+BXk21vq2t/Yz98x4oedj8Eb1fb+w+weYDavexxNn+tu+v/br0+cXLMY/7abINh34DwaEu93M39FhhW+6rSsr/VPkd+wrDccHDj75carPQHVMZpY1vtD4T9wKYBPtu5ZT8K/ln/mWGh7pp9HMLGLe/jJ98+q96H5m/1E6/6vuEn1fio2dLNsIcC+Q+sPoO/rf2nxWQLsNq+5t8cyGDpFfAo1Qt+zcW/a3sH0gOfdQJrFcD1e0faJCABCUyOgAewkb0awncnpwVr/q4K4DW3e7Y8c40D+NkCoH5IQALPTIFuutebSvbVAId10nlQTjXvYJOb251p/czstVr9bBJQAD+bqqm+SCAhgRK9X4TgP+6zdAvYgYMMXZQQg7r6DBZQAD+Di6emSyBlAZ+1vhGZ/wJcbcvJq+ex4L52J3qlbKe+xyGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQhoACOow5qhQQkIAEJJCagAE6s4OquBCQgAQnEIaAAjqMOaoUEJCABCSQmoABOrODqrgQkIAEJxCGgAI6jDmqFBCQgAQkkJqAATqzg6q4EJCABCcQh8P8b5EmGZEKPqwAAAABJRU5ErkJggg==i1i08Mar '10,1.52Apr '10,0.77May '10,0.82Jun '10,1.1Jul '10,0.85Aug '10,0.82Sep '10,1.18Oct '10,1.03Nov '10,2.94Dec '10,5.07Jan '11,1.14Feb '11,1.33Mar '11,1.47Apr '11,0.93May '11,0.72Jun '11,0.99Jul '11,0.69Aug '11,0.65Sep '11,1.11Oct '11,1Nov '11,2.87Dec '11,4.1Jan '12,0.77Feb '12,1.06Mar '12,1.1Apr '12,0.66May '12,0.52Jun '12,0.7Jul '12,0.55Aug '12,0.52Sept '12,0.85Oct '12,0.76Nov '12,2.55Dec '12,3.21Jan '13*,0.84Feb '13,0.81Mar '13,0.99Apr '13,0.5May '13,0.39Jun '13,0.59Jul '13,0.44Aug '13,0.52Sep '13,1.08Oct '13,0.79Nov '13,2.74Dec '13,3.21Jan '14,0.66Feb '14,0.88Mar '14,1.02Apr '14,0.58May '14,0.59Jun '14,0.73Jul '14,0.51Aug '14,0.56Sept '14,1.1Oct '14,0.79Nov '14,2.42Dec '14,3.26Jan '15,0.63Feb '15,0.96Mar '15,0.97Apr '15,0.6May '15,0.51Jun '15,0.88Jul '15,0.56Aug '15,0.57Sept '15,1.09Oct '15,0.83Nov '15,2.6Dec '15,3.28Jan '16,0.64Feb '16,0.92Mar '16,1.09Apr '16,0.58May '16,0.61Jun '16,0.65Jul '16,0.5Aug '16,0.58Sept '16,0.84Oct '16,0.93Nov '16,1.97Dec '16,3Jan '17,0.69Feb '17,0.81Mar '17,1.48Apr '17,0.7May '17,0.54Jun '17,0.77Jul '17,0.66Aug '17,0.63Sept '17,1.29Oct '17,0.89Nov '17,2.71Dec '17,3.34Jan '18,1.1Feb '18,1.01Mar '18,1.32Apr '18,0.82May '18,0.69Jun '18,1.1Jul '18,0.75Aug '18,0.8Sept '18,1.4Oct '18,1.57Nov '18,2.78Dec '18,3.49Jan '19,0.92Feb '19,1.06Mar '19,1.19Apr '19,0.85May '19,0.64Jun '19,0.93Jul '19,2.72Aug '19,2.43Sept '19,3.93Oct '19,1.03Nov '19,2.25Dec '19,2.98Jan '20,0.68Feb '20,0.76Mar '20,1.6Apr '20,4.72May '20,4.34Jun '20,4.69Jul '20,4.19Aug '20,4.07Sept '20,4.25Oct '20,3.79Nov '20,6.96Dec '20,7.7Jan '21,4.71Feb '21,4.6Apr '21,4.64May '21,4.45Jun '21,4.93Jul '21,4.6Aug '21,4.37Sep '21,4.36Oct '21,4.39Nov '21,6.281.7530.9951.5450.7