This will eventually be a plane physics engine. But in the meantime this is a small time project that I made while bored.data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAAERlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAAAoKADAAQAAAABAAAAeAAAAAAeaS0RAABAAElEQVR4Aey9B5RlV3nnu2+uW7Fzt3IECQMCCRElY4kgMJhgwgA2JtjLaXlg1njW82DGHjOMx4w943n2A2xs7PdmOWHjQBDJGBsMmGwEAiUkdSu2OnelW7dufr/fd+6pqu6q6q6SYMDg3X3rnnvOPjv+95f2t/cupJQGfDYXCiXe6qVCtZhqU6NpS7WeUrGY5loLqd9PaaQ0kgbtXioW+FEapHa3lQbFQiqmSup1uqlQXDu7grcL8ZevQhpQsnatlDrHR1JqZS95f2JyIs3OzK6dyPfw3eLWbkrVmTRWKKfKYi316dpuuZMKA9q053/646RQSPyjbwy2re3vr8Iwbo/OGtDfRfqiPCBF0uuUiqlxYAEIrE4vEtrEn3WgcJoUAJ+hVKumVKO4rXLqNAEWhS5Ve6lbWEzdoqDrp36BkpeimomfgHD9LB0JA1HHx2/bI/VbqTxBw3r97Qrfzrw3WmfK2C+10mSpns7dfmbqLC5Gk/WhCM3FJj2zDlh4T+CtBJ9ZdqAxvQp4prtqfYgJ6fTKEJGpMQA7lgb98kZLdsp466PhlK9lD/udMqNjJHU7YHCxTSUGqUyh+4U2n07qUYm2hS9VaIxi6vV6qVzk5hohB198+3wIwmKLcTtYSAXSzW4P/s9TPwv1HR4geqlA+9b6ldReoEOgUl36YwBnKpbpZrnRemEIQMfZEhgrJYgJlJRXS1C6MiSwOFpJ3V4tNY9yc7B2P66XxXr3HwKMoXeL5dQ/Xk7FHVDCxSKkvpdKHUi2fJhKO+oKAm4wpHtSw/VG4pDyWdDob8kf9yr8ELiDMUZge+PjZXJqMup8SlZti/8LAFdU5HR/hniYb7TS3MJ8KtSrsFwqBwut1WopdWm/NeuasVyTDyoIqQjOQ3xoB8SFPoT1lkdJozaSGveSzoKxhc5Db8CHAEAAl0qp1yykNkXpj/J7ETrXLqea98uD1AJs5SIgbfeRIUqpUIY99xidvJm3RVRB8A0BJ+i8zp9T/VRhGLZSMxVqkP4Wr28gzM3OnT5WnsnpY37nx7AhabXFHqLQqHhrIoNXoF70CQCi9fm3OgTYuJ2Bb/l5EalnAAI7EJMCVKBQq6SF48iUzYySFgAgd3nhoTXixknKctmGV75KIRhWs/fAchcQeqtUE15QGtSgVlQKyjfoDqh8hUbgWuqnNGsAaFJKK66cEo1ja+QtIhD59BGQW+02bLwLIRW8GwvKkCFPbiz6v/xYWXMhB0KhEuiBIiqTF2mHQp92FTd5+0IVC7Dm/BOVt72zi/hLL6ZSnz6j/ctbxlK7WU2Lh6CpmfhPHGWihwCfyGXTKZghGmkEaX5WAAZY6hyDavXraQGQNEFfCdabKR3GonLKIzTJgMoLOBvDBujDXkul0vpgQRYxhUKHt2XhgdSsBP/S/xap/zcrqMkWR4ANCl8ZMNUY+FWIg9fK33lfbTS/PtSvW+QzAgFo1tLcAQiAIF4K9kvOQB98p+QpLCV76gtLsDiMcuKrfShe5xi0bjsjpbCQxmDExa4FEzQUPq5kA4CN4eiTImDsMqTKfPdgzWt2CGabMnKIbKQyRnze73YYiSa4Vr2HWfI0C8QzavZn+V5crfX+MMq38ktCZF137NqRDj1waDmrleWJQg8frazTUhwuhtc0H20DvQMT/XY3VeBEZcc4jdRH+ZAHoUKQ2BL5Ws5znatCHfPXoJNq4+OpeR/pQABWB6mgePAbqhtklq9NhBNRtOEXBdJQLV3xTrdBIYuV1J8spblGI01gD5Rm2wh9W31QDmWskDJWOgBUmewhdVtq2RUpQm8BcalYTS2pJiaZ+vZiaiIIDmA1A+xbUlS/fVsCqennhKbihx0RD/OUV6B3gGiwFE54cenu2hd5cX0nrvMby9FlgSHNnpRuNAVPjqT5VDxj+DqvySnD/LScRCStMhDBLPIPl9XROj8LDMhFRBUG+Tzt2oNboAmX+mba42cfbdjqO/Q3Hlq9xVQeH03dmVrqLuYFOPH9ZTlQLeDBhQcNwGXyuyJj6tydg+xjJypiQAqSDfh6sGVoWCp1AS2t7Oi3oft8vFbLXQ+AfQDdAsQtRiSENFU7sPfxxVQp05wI2I46ZZwiw7+AbapfoctXYIouzQp4ghliyEt4RNZrh6Fx9uSH5nhyEM8nyJvDSEU6vYgcFaDxJYvis3huIYdlG0YowD4NPsmuTJgy9uUgXMiyqTbJEqGQqiK202QwttNCC8CkibQoFSQFJUHsMhkbpe7K4JsBYK0+njpzI2nxMI0+bC7LZsj7agBByUq7XiNG9FP+eZAAzDNeI23aqT9XSLUd46lbm4doUYGsHTEDyDoZs7awjUTDWhk/RT4C0o7MZcIeVA8Jkfcw4/B8wKezCBPmvqx70JLC2MkF4kBd0bQ7aNrRWUtFI3NCzvaz29k9OzHsWVlvZ52+8jqLvOKvD4cRVtyl0FH2lbe81vhE6Ya3h3nyyzKbtWH5LkCjTqZlyCjn8NrBQDID5WgpPj9V8JKzTXCTYqWbqswYGQ09lbiyXN/hG6VPQuAsSJ/rMm1n/kvgIQvjCCFLquZbrFTSaG0qLRxYPEnus2QpZqL8np2Z5q9Y+LYAkAquE/oIv81poLOb5sEgPY5yUoGSLSLUtlFQ6oCqBAXrYTKwqcvlclBBv7uQJIFoR6gl90hLLXqkyzuYooqVPkIxwMVORYsCRhsZ8Nr69Gr2L+u4rHhZOftSi7zXiRWdRRIFO2R4P/8WFYLf4NumlqXinTUCD4XaqkikIfAjKB8Mg9nlvxws/vN/oURnxujMxIgAEeiJtEkmeyeLq/jSQvCO6NzCZEzbIY/BihWP+j5gQBa71RCW+kyJ9hAMq8walJgh6Hl3YDxKWLLNyZq2bvG8PjGe5o5009Yt29Oh5goZdVj+ZduqraIotkHb2PD9lV8PgQKuTGb1NeJaKhyppfLIWBqpIgsim1RpHNmxQXBJ1WxW8dbt0gjeG7Lker2eRkaYZcEEs8hUEjw31aemUpnpvyL31YqlfNA9OogEGMXKmkUpYYzlyOakP0PKI1bIm7egF8qf/OZfBH6IFQeCISthduF938lvxrN413vD932eh2WCNrzj20NA5neGFE+gFhikphOQDPnF+LZPJu+auRxChUJQYtxKC4sN0c/Atl0raWqKNudfp9VKHdpuEPXgDQDZR0QxRSWXDOIUEL4sc9ZeyAupgr2v16imhWNtLK9HhqVc78s6C0C/TXnz4UEA0MyUJvw+deiBm1p1PDWajVSGglXGK1A73sVEYEMKNtHndVAf6iDotNxLDSuwggU0MQYvDSZAoYaFapoaHQuK6n2lHcgYVJDG5LucqpQsl3ZslAxasvUsDEHoDzq7K9+hKsbKMRTXli0aNa+naeX3uFwRjJ8lYhyDv7m2nkNKGrfjj/XNQei1N7PvHj+sYxYtGwBe9wOAXPCImLwj/KTivTTWGklNwDYzM4/2W007d+wGdIgo7cXUXFhgHng+LbaZC4a1lpjcNXVZeDBihGq5VY354w7TdwUo4ejotnR8P2IM5fDf6UJm1bBdlst7undWPn8QANSmnnfmyqTWuKb8Pabo+jU+2gZlmcglNE+ATjD2aCwBWK3SOHwLvMnJbBqtHdSviyiTAbJeHIWFADDSrTLVFzRM1PCRUWWNCkwAYvTWUpEEVwaSzJbo7+xhBV6cX3sra3KaHvl0dVivkYdpnNRfWflOukmiyr7W1aCG7pVxY8KSvoxnFCae8DC+o3DECgEwG5CtwSLztQyieeac2jhtMBGv3a8L2CoVOMUU5hgHfXsEXYW5ebRZWjgAaAoDACzv1XGhBmcpMN3WXqBPMH2dLkg8wox04ABRxcN6bXPqlDYBQDOxY0X7BgFIzB6KQrXK3NBIIy2iqdUAWsCDhirAFmQ9NngoHlCLVqvNp5VGx5h2o1El8dXyKADu4+YFAAUw7AZ1I5RCuydMPDSsICtCCQNkvJmHAIIU0rCENnsUFu4sPt/Zbe9lIYOF19Hzw7v58wwyeUyj5E+ye9k7RRwCLN/Joa9yEFQte0b1+R2liOhx1xukatt0HaRBGYe5RPw+8jXAc862s5DqsIMxteiFubAQBIT4WYbyj42OpzZxG83ZaKuQLaNQGf3q92nPiVrqYO5amOHNKMDJpT7xt+LSkUOyaOtoGz44U8wmAJgjXPANG4Kr0wXbsesc8QjvaVtiJqXNTRs2ZkT4rsI6pHodBOBms5ka2BAFZKvJqJZ1oqyMQBlJiFE+gsLBHCXXjoMismHC20Ydowd1UNYJof2EVgRgFsRyZypkUFEbTzAYpKqi0JoFtWQO27Ak93kdd7L+WXntg4i38ibXkVUO+Hg369ku8lYGqGWYm6pgijtEU9uNnHh/wJxu2Dxtt+DeUHwyLOEetdiaZyiW0xg2u/roaLheVaCEvi9LV88rwUFGKvXUrzcx13RIg0Eq5YeVD5C9aTS4FIpgA0UGdr3REP0XkW0rK58PuCjkhpLJWnlDUY1kJnlmG34JmYTROTGVWg3mdK00DWMnq2mqiKhw1Kq17B6d0EEYFoRiaGKyxqCeTyOjKiAI1/Y0zgkDBPYeI7cAG9Hehk9Oqkan2Qgrg+OdkY6GeQIWIgpPFPyHwTJlEOHGEExBLcyTkLE/rrP/WSSemX50aLw9fJFr68d/3/QPIXvmvRgP8Xv5WT/axnjDe8N8LbjAE5wxs2H+xkWbXXTAzsMdto7gLjVOjF5qYKgfwUhdAbiFFm/FfDxMCA+ZTrcdFgc1ZAGo0oZslMa3bE33H8CBIy+OxdhgUB2KdgretsGXhtE2DUC7erPBxq5V8JLGnWdhDq8WkihC2RxBFRQOlQ2pn98GAbiIXOLvMgbtMp42RRsP9t2GFS2i2Q16yj1QQVh2kUauqGVDEherdEGOgWFB/VnUxHFSEJBl2E4Wffg3+zop5ql/BjUPRNl7eQJ0iSzYQRG3VvZs0DnirrzHT9nsyiT8wf82dTSR3HlA1q7TRxpUke+KabQ8lsZHtqRqBaeBkUzOS0zH+U4R9t0PtReqx61yGbMMRC/MTJTZwTBaH0tdZL8uvpenCw7S1R7ptq0DX8bvtelYkdOH1b1yyndsyU2+YnqUbW5xmhHH6KOQplLUEMcDtd4KwOrBCmSfFVjtqKyEka0sODsb4z415xdgN3NYnLqkNY+zK50SFoBhJwMwKWHIVlY+Ot3MhwEqsNQoedv4HRQqj8T3ye8tPcpfWrqxfCGSbf9odK4jDeKvFIuW0uW+10u/l5NZdTWMkwHZdrAMfOSaXI00GaAodrJcDdIDZOwSHKRGW/QWUToAWBEqWaFdBa+s3AHdBegO3t7AiQASAswd5OqMA5jHZoOJ2BkCcCMVW07f2JvIUWqxbXOZkEOhRotV5+nsdjgelGgQZTxlv4mJifiWGuamEinK3Nxcmp+fRwGB6gHEVpsG1aofPuIaWPUNzNzBQgA8bcXXqaa3N9dmy6138tU66dixS+DMmzuP63d+fXJ66/6GumKUL9c6dDm2PuS6MoNvlJsVyFwFT2a9mUfqI1BFXeMUB7AmQDta+No3Fxp8juHrp4kL1o3G7CRBr4GyF86m62a87oNBQmRKm1+ns0lytsnoUVxB00YIroYXi24aA4zIzv8KQM0uhipmgEwwB6ewDZ/LpgfMpJeLuIGXsVmhyBQKTMA3UERwhA1KH29v5M+me3kjiW4oTgb9PP/8e0OvrhtpwHjGsIX8BhLHukx7ttMsi78KTM+VAVEFVjs+1Uf2Rg7E3DXoap5GFuZ+Ee6htKsZpot5bNDCpsB6ksKIMiPy3Ok58apyZXLgqtunvbFJRBl9kw2IwIHUhk0WEzG+fQrEMhABNj2LWYA2nMCwDD+gOWEPzcVUh+odXcDDAxejJivtihqvmcArzNHYUj0p/SaD1MCwSPrfVUH5bhb2hxgDgnA4giaOLuBKhbjTmk5F2nC0PpWZrGDP03PHUrMxl4krtGMXQ78KTqVUpS+Y+0V2HGC7zQn1xttKoUB8bK5zNgFAdT35PEEMrsPR4nn+xzJVsNcx0sLmB8gEWh7aKBvzsIMavKGimQbWXIVSVlVQIG8NRvMAg3OxB3WcFXwm+BCC5d5o2R9CNt+yV09RdvBGoA1Zk6PbW3G0A4WcT7Pzs8iEY6mOGaYJIOcbM3CiLm2O2Z6uoMmhiPxxuSyu94MRpvRY0rn5YN9sHoC+dZowBF2IvVIiwjKGst/r/dVnj1GlwqF/moqGni3KeNrqSgjGzYUmCgfUjjQ72qeQ8aZRNjq8WyyOpNLiljQ4yrrjhwg+Kd8iVHXDZV9ZJzv+OyFspN01iKLR9uEWBWTCNt5DXdh1pY9X8yLtinFfmbSL46omsDI21ApyIoSQDkA5ob8KWBI2H2ykHCsbf3sDAByCLlM5l1KOedylX2tcOLzKWWUHTLj2EJRlvTFdBgqUy9VaQd0SW1YhbfPekbkZmTYNBNulMVdpqmtk9y299WD641taoNMnLqAKKCTisbGIBYFJAO2mCNjBBDLFDaEHjbnbwQSGPbRCPxWcgqyjEW8AGSeWQgBuXkTbQDa5zHRi4s4DhmOB+a4VUDYKrA+uaui0FaB6rm4LhdB3+K3JRAN0FfsgFisEZJxPaYyWxlK0YtcW56v218riId9br+wPOeFvfwJFHHO7Rdqx202zzWl2rZhOVZSMIn3gWp2yBnj6hW6Iqc0i03hFbKn2RAGFBPPopgM8jXdygrWx1zcAwDyhEwHoPOC2HdvXZml2LMJwhamigi71bu2gAiIOw4jF1A811xNjFOv92MhoANDWOH4M8wBml5ikZ3eFWBicF+Gb/f0dStlc05yZbh5cheVOW8/cEtSuCpLYHAUKOM+M0yjWCFgz7a7t0Im/LhMA2MYw3mNlgDqmRW2HUMEqn02gIyupGNncSxuMHRLbCa2h3e7QgdXOihEJ+S2VkesAW981GrBVCb8qf0GnAITe2CuGhhrB/KInTI053Q5ySRcDaomRqfu9LuXhZnVCzv/643QtYN8cWdiPPIMLFna/GkpdBxm4jCvbFqZEnQuWMgpy+6iHn2anxLIJ1nIbnD0ZVLE+bFoWDMpzuuKd8HyDAJSsbjCqZWANbwEEQeNgA4wsADhg7jFc7nnehfV6XcX5Mdg4MQ2dFtN0aCNYqhKe9Tid8of3we73VNDjWEXtQQcM9qCItoTdmgjt3UPWdv+eGhSwhsgTSxpoV3om/kko9JpGMOc/36jVRab1NhtYqcIrG++wDaLKaBvk7c5WFPCogMxL9wYCCCBmC9OHHhrYAG2UOra5mIZD8G0j98033F1LjzXMMson+K/1GZnhkbrZlvhejW/fS7lgo2Wn3xjJ/usAwMYcU3V4/4yNY1UI01hmjVAZDJEHP8psGSfyO4O/Bxdj9m6T4URR7XQvbxCAgm8DqDYKdr8qDqgFDKRUn4/MN7M5aWoWXvyMWRDnfMsIxTbQPG5FC53WMLa7K2C3J40+6bH863T1WHp+Wu18KeZ36QXY09vAjYqqAEv2qstZj7ZsLuKmj8w3MsoMlFOaxC3hpl/u0d58u6grvGzox4puas6SMN23ka5fbk0BuEFiRcwNAFBUmegGAiOogPKhoOueMLZFGYpWGar+AT7MOTKG0RHWfOiFSwkk/26o4+JNFxf1HZFMv5Wc8BS8mwCg2vn3NAjlQBIBOJBiTB/bayWNw5FHASFUEIdVHWmqdSfmcMfnRwVXfd31XdYqychctfRB1DgNFdxg9y8jZONkc0MAXJoBWc5h7Sv2BixSaxcy15jRcOSoj1S0MkPyxbtuRO6EUEcOCS9oWLHCsOtaVU6wBCCfaCd0mwl2V/CGwrHjYANBxUgh/Hs2KMcBwBqWB5U5dqhky7ZxjAl4pUPV5vEy0iPJ9SM2Kk77mGWMm/kHSgVtalk2EcGic8SbkcN9e+MA3AC2xehGogEaZIaaaj2AarAsrsfmlbJdBLnMyIlgrIwxikmmxkq5NiOyjfOksxTO74pR2UOXmfYuikyJhUxVdtZqVZhnUhjRjvOv4dQt4IjHCt1ChOniT1liULdbM2nCLTaaslWo4GwLHwa8pJ1gYl/HLgNcrApYfQX7yI5l7mlC6+Oo0MfRocC7OoZsJGSOCcaVB4qf9QmCT9cJOej83kDGlpwll3omu9Y2Zr+ZdosChFk9o4IuSOrAJo4fO566DQzNUDjdrnooIZjkWd8Ay2BLj0Xc8TUR6JwaiowbBf5rOH0LAMCCygRtrKZrz1UY8M98xjXprHPODCVv+vgMq+j0fs4M0QIldrIVKM5gETr0g9t5+HOAPbZQXx9E8cIJfyJX7vid4+iECEs/TgHAPMNTJxApKXdUXUCEzIDqrztPTLPpqeHcL0/coyTW7aKguK+06x9ci9qayxbWTI6PMEoRjql0v40yj5fvAANpydVvkscHYRJYquX3yoXmLnZJYBtn2oxrfnewq+7ZvSM98jGXpuokjr/KdfYHNldFIA3SS8EHQwD2dON3eg4KqkLT35QsqBIibux5rSAmvHY4LQAz+W/9BCJZta4y025k6g4EsQAIgJWhbpJ1Oacj0sVEBUDVCRlPazxu4DSEA6/OGoYnPulKtGMKLvZhIe4LiEZCA2AYrXO9ceVq7dp+t98FS/ZDAbFlwOAuoAi6b84ll1ycjuOAWp5A/mYLD6c/e1C4LsZod6iQSBiALE0voTAdlEUAWkKcikUL2AULNQB1GihkTWyknHDZacqba4d1AKj2aSJ+TtPrAKvAnG2FSrgLalYBF4jjaREkPDPGWDmR1WOud+7YbHi9LMb2CVQaKjcYwYHyjK2xuCZmT4hexXmyHMK0rzKs3XPsmxR2nbFr09ryd7x2jQLIkA43fac/lam3bt2atp29I9187x2pvmOUzQHYuhcRyWnQBeyu7jyRYSojFBILP7poAWN+oBfrpABbG1Rgxesg5uRuyeaFjUy/nWLrjnWSy2+L4vz65CyGv6F+VWQO5r3DydT9R2S3ss4i1CtYseyA6BpBywC1DjzHt0wxSd7A548NyJkRKVTH0q133512nXcGRA+S72yJPmq8WNGhwcXSrNz/ZoUjB49sSlsWfDtgZd/usGvPKQZOFRkcrlPBhOWKuC4bQ+3esycdx6n31tvvTkcY+EVttE6BshYnNqEcrsVR3gvw0d32lZMIes84g6JVQxAOcC4ZKOtvKIid0xCvYYw3rU7PTCwGE9exI2o2RlbFU+WfbKZah+cKvgBEwyeoC2E3YwPOAeteX0w7d25Pe3buTBMsw2wAqAaG0S6VHOAwOX93Px3b30gVXMh5OS2yei62lIH91lgL3HLvE+Yy2f5qVTEezI3NTnUZvzHvuodvT3AA7Ny9MxaDr2lmsq/r+F7i01eF9fYQgRzIFzzionTnPQfSwdtnWeCFQ8KE62mYG3bOHXFo985dwaoXUQKNX4Ht+m6RZzJkSV6sxoMV+3vA8+gD4XHKIGbUC04N2NOQNzt7HfB529EAMLJtwygeND/mFBWGxSSgE8jOdYwx4kbKLI5mRFXYTsI1tq7O6tWJiCVeluAG2DPHG2lsG3YrtptFX45BZDz32RtIAYdCMgl/T4VwMMADaU3w2RIxjwvnwfQygNOIk+27trJUqJUO3zOdmsdaqT3LwGaKrkD7e3SDSx2a2F91THVWSj7VQS4sxiQCCIOoiLPoS65KcKVU3ajDagDktH20BgAVGL1tAg4rv1NaRfqHmm/IBhaTwhoT0Ze/vIchWQBqSnE0jY2xUBqZrg0AHW0dVrl1mAMuYXLpN7I8TGbhcBvnIUYv2pwbbpuqI9L2TdoDhx4b/PqeC+uCz+ar4fyBLG7za2jW3FVnsfrRI7Np4SisE+z0sfW34TwjEwhBiD3uJtvEWVVbYR0CoYe6croTA7LkLNjwUjHn80mEvhuMQNnyx8NYa31tRIFdA4B0cmQI6V3SZNJq0o+/mIbnCnvMuXGkw8TNh5xXLHiPdzVouvKqxrTPCEqG20V0+cxgeG4hl7iAZrDIfVn4MLQbvTR7BCM2dr/YwgLFJlbIiU7dfF3i+a/hxBaAGIT/HqKO63vbKHcOfGeUDt89g1lLEAEh5XSMyRU2IRrBIcENMbsulQWA/hth84CYnSKdQsyMwAHpPwxj8RF0ZsVOAFDRLM1IeN0/p+Cgw3fWAGCemo9KS5TvhNEHOXKKRtc+z6JAD+afSgfTZzGvGDpw3Hf3zXEqq7wRaj/Tay1kEM8LUdX3sBvaYTlw3TqKxoW8V3CSnNX/Btl4sIBNT44vJ/1deyV7kDvw5Wbv+vppXmnOsiHoNFQrx4rfLFRv83yCvRbdEhjpBvEHToMyUq8z9QmBcHlsBkAQtwRAk4HIsIZkIJJZakvU0wQjnFpmP0USst/iaspnluxSqs+f6zk8ZkHynFVySMmghnDkTIOFFY94mCGVcnI7NqVkr2geUzcUDozOJwdZhZSxwuaWuY1Kc0CIgFDNNdnw6mROTnbt3w/2vbVTW313I+lvJM7qlGnA4U1lcdrW+Vwsr9xExmatx8Jx7tNcS/G4dMnlIqaXcfaALkPxTCLWBjPAR1keW9QLxnh2qGw4zGtww6E9N4gNItGA9T7RD3kZ4q2T//hwfRugsdcBoC9myD2B8vkG5XOhebxKAQdddrJymzCm4bqAo4v/3qDEKT0sKypj7NxS2RaT4R5uV2WdQptlgZ35RTeSAICwXxtojdCfR1NDDuxw5IMG0TYNUJyDIrJ/SXGtaaF8lK+R1ilvDd8LuSe2Czll7M0/3Ei5NhJnrZzz9xCHyg2cTVtV7BburchCfsSfxYbDnJDH47vDCjlJRrVXT1PsAy0b6zD3XoKKjo5u4bMNZRIZssKmlk4c4EXjRzyokkhENKe5N08B55OltM1nVRBHK2ZaVj1fBUDxmI2AlfLf0nuRnsVHc0IgVWX3YBRHio9yqmf8WPNBciXIel9t2NVXUMEFNh3qAdKCGxHBftcNyCqFRRaT82qkjZzZQWh2O4n+t4ANu+GO24RsNgjc/Fy6zb77TYmPUqYs7e4HRRSLLn3TxyBd4HCZNZ0HGPBuh+waEBfru2uY876aedyocmJ8DE0agDmfrxbMx1ksMSw6Kq4xGc6c9MfAwUiO7rVrs2yQXvu5aQ6D3QyrzJgj32sg14KgeLgRjlxYL+dCyIB8e81b8aFMFrxARcpjIwBOACp74InBpjgdDJpF1qk6EbJuIA2poCTcA1N04+/Jg9XEtDWGWrzu25t+oBv88ubbm3792/ZC5isJP4FDdAFVB/mliLWh73kNa2GDeItz2GDTQmzXNsZCpTbToW2sEm71tn3LFja0ZB5e4VCahwyYzeNn/oWyYs9t0Xew4B7Mo3BDO33dIMRyQrM64goAmqGGVr/t+IwScrEUYpMhlI8qo0avMR0cMZDwMRlYZE4JScPF6FW0rQJzj7r06WrvhpNuT9vHwdSNhQLrS6mvccEq/zJ+bCjXWVtiu8qyYoQjWnwnTI1poP52ArcwCvXDttdlcLfwKHcnidRhi44VloUTWpY54j721kaPnVSZdx8fn2TGgwOomZZrL7AzLSsUJ1VQwErABbtrLyihqWDFAKxFrBwVjm2tcTDlgI1CEfNPESjPEgBXR/PpGmEN6kdpPBClQoOXMY04W2FQKA1zyxCE2aADlgBQ218cA0AstaxO0zPkmCpim4jYQmKNnE+4RWIDFRU2pizGORiOarQ0jamwnu+EqbETyvt/+oc2EaheeL9gMZBRFlhhOFikzbKOWF0iu424s2yXEDtsMWcs2rpQwC67JnQxTE9tmcRmq6Nq9rq6iEQA4idNRMvusV0yuzFizdD1K2TBQOvq7DIYi1AjrC7UOgA8CdK+i6ETDSAUH/0CnKsN5FNKLUVmIDWwgGpSI3jcusfLAOcD54QHaF694bYQar+yjI2EHp4dsUoa671eNp4/5zolD8Ved1noRhL+bohDN6kUxJoOCUDI47Qt7XPK0HYGBHO/8iOEQpON/eaU6XxjPo2zP7fTn3pHx8kE9K29JScL2oNnTAnwO3VXZU1PZpJZDa68DJk+sTbU1ry7yoJtrFG0Hjo9QOyQQK7Tvw8JIYDnKAIfcR37/rHrpiurBljeixS001yIye1FtNietr/YJSsv4vrf7hSRFtwX2sbAldzJdoDt9hEkvP6L3wtP0EIHHmOruEQbF6FaBY7XOm1A9nZLtgbHfCkmxToa1mUzkRrOwe6UVUOOzLiNDBTjDpwrRCn6vAhw2136Ezm8xTl1vT6i2yknCHIKuLpkawCQygTeh5GFPloV3D/kfsm8xMuuF4cZBBg/sOS4RvEoSb5JQxetkVDZsc6zk7unJqmMDNzbbxPYGbAxUcnt2XDxL2HKcYMdd17YzGq5YW2+e75owiJKmcqfHuZd5OoSJ1XrAHK6oOF/0CjijbSQKmx9vPvMPWkn7mktTCsNDgVywmAEWVANOfZvVCGxv2BG9j9CJwQBlg33cxYsJgjqEKiTGOdyOcTU2g/XAKARV9xGCC1gZyqxyr7AApdQOhgFFkW/AIFW8kJSZVxmN5wQ9/gD50Nky+7OuUDl2rCICm5X2VZiy8U77VU0GOo/abfgL3G2CO77hdGhkHLaBL77IriVWpl+0bnDud+S+wNivBckGwmDOU6hZ+csD5Xsw8bPPueMMHHNA0rduMbGxoOQlFFUeohbWjxkOC5a18KhZqyZxjljyQO0EK91MbBe7mvoFURdgbT8RdG64jb2liKOiGXIXgHTiXO8WS0FIPDD+u7hKEyJRAIKwSWWZZbwqJBUuvNSE01JG96AlXKDFs6uRN9IeOELn51+5U3/AbMASkvTvEbSwx5xaXrn299JY5Me3r/rV3gjOWw8zrN/8Gnp537utUga67Zw2oKP41/91R/EoS8bT/lBxtQ517lQLBHBCZzWbFG2DbZtAf++a55wTXr+c14Qc8Hbd23nKLTx2Bhq25Zt6RU/8iPpumc/i9koF4nR1/xzC+Crn3BVGsde2oPYxFFp9H8ff8046svd0ITPGmGVWDeMswJp3rFxBdiwkf1iiV8BAIVdyHlZnUO1kDPURP+2rbvS37z7r9NnP/eF9P73Xp+ueMwVABYH05DZaA06zDW/XYZPYVDHuXGDQ5Ssv/GNvelZ110TBmLZRrFVT/P4EH7uS59nCo+RiDZ8OnugxtZ8d1SSfNDh/vv2p5/8qVeeEoAdBtunP/2FoNAPOiNedNBdcslFp0xiAAA7yNMK+CV3GOMQH13aNhqe95zr0tOefG0oIH/y++9K27fvYNHSWfH5rd/67dg44OUve1n6d//2dSSplFlMv/c7v5eedOWT0h+8/Q9ZvYh39dD5hKkxrrHrMiMWThFD+JxYFnF1Ety4490VQZyvgLALwjU8Mzerxa+PFuz0TNDIWMRcStPsZvXKV70i/f3HPpFe8epXYBkfR0XHuk58SfVjHvvY9OSrngJuC+mjH/ls+viHAQ/h4oddkH70R1/EATUT6Utf/Er68z9/X6bM8Oyaa56SnvTkx6Vbb7k9HWX1XB6e8rgnpaded0W67ZavU5XxILqsXUo/+6qfSHfffW961KMujXPm3vrWP0xHjhyL1y686Lz0oh9+Trrn7vsQsBs09Nb0znf+aZ7kmt8/9EPPTN//1CfGksW/+Iv3pZtuui3dceddcYrT9z/1SemJT7w83XbrHen66/8Oxaif9uCl/OM/8fIMnGDgrLP2UJ77Iu0rH//Y9OIXPzfWv3zgAx9Ln/jEZ+K+5fipn/6xtG3blnTzTd9I0xjC3/M3HwrgPfKRl6QnPOFyDh6cjHrs3Xt3vPOUp1yZnve866A4gzTfn05ve/tvM7hnARHsbb6anvucp6Z//ucb04H1No1aUdv3ve9v04c+8+F01sPG0tVXXsXmRNAoZkEOHdybXvOTr4LbqBUP0u/+7u+l3/j1t4CdfuyG9v73vSddfsXlaQxTWgNxSJkQi3D0RZxQxeKxQmwev5yZ9trtng5/wE3MM06ZPz0Jkv4cAlCGj6Ypdx+g/hR0tS9z/i/zvNwiKOEBdWcoZL9cjnBaz1jZKSA3BOumxz358ek///Kb0j9+8lPpo3/3ifTmX/7FaEDfvuD8c9Mdd9yV/vRP/jooyyMe8TBvp1e+8sXpjf/p9Wn//gPp6qufSGdfEff9c/e++9K9dx5Kr3z5j5Gf61aYVmK11gJyy9ve/pZ0C4CdY4nnW97yxnh27jlnpj/+o7emI4ePpjMBxf/3v38rPfDAOjt6xRsp/eRPvjL97M++Or3nPR9OX/jCl9O7/vx3AfYl8fTMM3enH/uxF1O2g+llL39hUCofzM7OpS9/+Wvphhu+ni659OL4eP/KKx+T3v62X0sf+fA/pHe/+/r0q//tDelpT7sa+Wo0ffgjfxYD7qMf/ceUsffXBIAF/0UXnp+e9vSr04te9Jx07bVPMakYqG8lrT/4wz9L7/3gh9ILnvuDaevUdga28lktXf7Iy9L1H/ij9DbibCjQh1O1remXXvdL6fjs8fQPn/9sOnacQ2/YyPKWu24OL+gff/WPpw994HpEINZwM231y29+Y3r961+PI8NY+i+/+F/STtz9lQXjiAi9ZsCJSzhPVg4dpEcPHaVYq+XAkyigABzeQsUe0LlleLwarm44KhuOPkmpf52m8VMEDO4B7fELntS4Z8/OVGMzxB/9kVemN//qf0l/+49/i2wwnv7Dz78p/eqb35Cuf/9HMXZOpOc852npmc98Kmx8S7roovMDQP/+5386vfhFP5HuuuvemOl4ylWPJ6cs3HPP/VDaT6cXvPiZUGJGk9NynPR44803p/e99yMBmh07t0FN3xEvPO/5z0q/944/Sr//+38Svy979CPSjTfePExt9Zfy3c/929emF77gNZG/MXYxcl/96pel//wrv5GOQY1f97r/xLbCi5HfF774IajD22MW4SMf/ngkeMUVj15K+LWvfVk6dPgIdfyBuOf7r3jFC2HR3XT//Q+k//6Wt8b9z8C2r7n2qgDkb/7mO9IFF56b/t8/fFeAOk/MgxudrfiFX/i5dHz+WPrDd/3vdPDgIdgvfn0zlfTVr9yc3vCG/5Y+8fF/yl857ffM9Hy6/mMfSm/6929M5+08M91+//20OcdiUL7rrnt2Ov/8C9KbfvVNiDBj4UHzzGc+m2u2+IDgfOwf/j4dPJQNZq0hnvIUYpm+iMxJp0XkdkEyDNkpoGKLyCseDNGWRxtGMI6GZ/y+ChwH6jauJg/a4qPyYcgmqmHJAE8/MjVfTgROlz/2MWn7tm1xzu8oo93DBD0Syv1gPIxwx45t6Y1v/Hfpade+JE1Pz6Q3v/kXGHFmqpWGtaqe/0aQdLt34AkhbEDkb3QWy0Q5UZRM15Af9eC1bFhWbvDUpfPOPzuu1/ujxq4c59FheZjg8GYPzDG4lVyZtsivY+P1GJBxa/nPsOHV1j/zT19MH/jA38Wzv/iL96b77zuQHo58N0oeAt48F3DQ/cIXblh63zrkx1fkN433i2/4NRS8Ytp94VR61ctemo4fOJLe88GPJadk9USanp5FzNj4QR+ejPThj/9duuoJV6YnX35luulze3E2GE2v/pEXpx+4+gfSf3zDf4zBto1B7emb//1//Hr6X//jf6X3ffD6dM1Tr0l33XdvuvHrN2bEiPJVMb+VIEhNxDZkoXD9ysvvt+Jd2CxBSR5WANAeHXY8hkblvQIq/oCZCBcvd9hCI3QhTOECUN7v+o/RidH04z/6U2kHQuxrXvnqsKZ/3yMekW746g3p7b/7tvS2/+cdaQsLkbqcP/Ezr31Nej0UxPW+AuvHXvUS3tuWXvLSH0pSrn/4+0+n3/7td6Y/+dO3p3f92XvTIx/18HTBBeemZz3rGljY+9OrXvVS4m1PF513YXrdz74u7bv99vShT300Pfu6a9NjL39kUNJroSRnn31myIPvf//fpn/zsuenj/39uwPMUtrThV/9r/83bO5/BtXcwpzoj//EK9Lzn/eq9GTWLO/atTP98Z+8NX3yk58L5UjKusAm6+uF3//9P05/9Mdvg7VNxwC5Ftn2E5/4bPqzP/ubaKf/+Zu/EnLuM+ACt6Nw/dIv/XokJSt//et/In3yU59PT3nylendf3l9+ucvfTX9+V+8I73lN3477T1wawx6T4wqMKuhgnblkx6b3vGOX0/vRXR4ERzkVEHg/87vvCXdedfdaX5wLL3gGT+cXvV/vRbNtp2e/sSnpbf8yq+lP3/3u9JrX/PadM4556TX/fzr6S8sG+VmmuXcvnPOOReNfwtUEeWUjLTCeQ5METtv34PE1QBcwtmuB5NaLovinZ9lAIq64XhVottGaqzF5eATWVwJIbSM7a/EXGwDvz+2vELpxNCs2z2vdTGDjIxV0suf96Npy9RW3kUzc5oGavipT34y3X7nHWnLjh3p+T/8knAP+uD1Hwu5zwJdeunD0g/Cgvci3Cs4X4Os89d/9cHYMd8Oecxl35c+85kvUVFP0eymT33qc7BmhPkhRSxMdNPdd92WPv6pT6QXPv/labKwLb0fwfqxlz8qnXfu2elTn/48abPMEwNrmQY/znYUf/lX70w/89O/kO677wGLsG647LJHIIN9f5xXZ5kOI0NeccVliAnnUf596aqrn5C+9rVb0j8CppPDb/3Wm9N73vvhpWfnn39Oet7zr4sB8CmAq6xocLbopf/mecHivwj1+ycopVTOIBd4wQueFcrN55FDv/zPX4sB+5KXPA9FoZi27KmmG4j/TzfdkAozExw27ZG49ANyqencSZueLpyDfPwilKOxbZX0+Vv/Ie29Z1+67w7ANXVhuubZj0+j4GTnFtYT33JL+vwXvhDeSDOcXtVmy7ZnX/esdM+996Qbv3ZjWEJ0Qqni3NruNqkDsiDacc8lGAsoipyUujIM0gw/pdJyUUnaEgD1b9kOrwJkVZxMWeib7fEHJ3bqhX9GL/eZhO7DFpEDBsyCOzuxZWQbW63pu6eB0i12cbnHyDnNGRULuIiXq9tS52jGtsnvmxJKkxi4y9NQaEaantPHxinTiZU1owsvPC/98A//YEywPx3B/ulPeynAyljqN6UgJLJl61T62Z95VZz2FIrDD7w4qN43K/2ldKheYTtzuDUOoDmOyIMG3TuA/W+D05pL6ay4KG8dpMk93bRtaku69+Dx1HkAVyvOGBljZuPiM85Nhw6xowJTc67nabKD7fE52px/cfQXeKgiM8rKVcRBBBjQLowoxjRhB4+ZwQy4UHQbBgQOrtSGs3srUAH7hVIoUxXxt9OBQE8HffC6TqER04wR1njZK0mtU23YgNjnz41wNNUot6n16PSoMDsA0M47frNDH8/eAicDKTtmmxetncP8XCNMHLfc/A3Y5iu+6eAzV93M7r//QLrj9n3p2mu+ReAzIy0TyuaIu7XqJBTmoYHPJPVKWmTO3g6mK6NfeyyTaEFg3DTAtTyeZmDWFSYXqiijBuEjyYptWHgO7wtoyEelA26EvtbipcwgLYa0B2NL5i8xDeNoqkyTTXJyEWQWYsZjMM2FCQZxwfZXxhcMOZMbyIaAqz6GX5hHbREH8FMIRgfKQZNj5I+1QDrCdhE2cUrn08h/838K4/oWYiekkYqLWzlN6ZsP9M2X6lv4Rg2ZfCfbmsxDsernpOmjeD8PV7w92Fyduaie305n7JxKh2GxC3u1etCX4/MsWuccZw4L6s6zspE13W7pMdec4zMbmxy5+8IAPcE12x23cBPErogUBxTIyYd+lzOM5wLZwyJKujTJQNQIJ1JAFrcweSbyhqgU4Wqwsl5Iq9Ghihkw0WeQVarY/bLs+Euuxu8hiLaY//Vky2IHC3mWV2S43h8F4826tg8YvUVkKWdDdEv/bg8F6mnnVEYY+FvgPJPI4o45e1tNID6bawUVGJ2DFzjosMy2HZEGFLDUHUnziDf6YfaC4sDx6KMasmasH+ZazhpmObkQ2IgPcqyyrJ+SMu0IG88zcE4My7rv8AojC2BKbLGmq71IFqeS09gxcyhbDbCWy+d7zoaQtn5kbiDkWg+VG0EkeLX5tCHhnr44mCeLk/M/sTSn/JWz9BMi2eAEF1SXYf/u5ule0h5q7dZu1J7PMJJf/o4QP4bXK76GUZfvrHyXuytfy69PfifPYjmR5as8rnFOvs7v5e/n6S+/He/YtIU6Nle4iwv1G52jaeBWNXWcc6mrRCGORENpHCzQf7R5mKTou/CQCbSQiNwrz2uYR3calruV90cAHiIbnlb8oV+R3wduMkq/dyEoYWoDJxVPrsfspRwYJ3FCAXXR1z1PjukccYn83P2ihAjXZ8+a1EYeDBxYQdl4Zj1Q8OMH3ByUlow4zwc+LwgzAIJrC28LcCeoH3/FpPu9uIdcXxJHpXzHb0l1F/mvrPMCGrPS4emCI2Yt13a9nmMjIUvvcHEJohPxeINY5iIrv2o9DKUlVs/tZLH70CxxciOvyt/qGLJqZdf57/zXyjhxb9hz+f083ka/V753EggiieFAj2uFrmhzfjHafbWIR9HIHIO+Mp46jSbEwtkH4sFp2oChgpWigELioUCLUC0BAWqCuIRTKMthBw5QZ7Y4P2SghkqUPlggqQAwp6NFm3Sb5Kn7PljRzd8NirQmuJZYDd4tld0woObMF+XWKUVBsY/+ILdkUwuS5n0Y0wD2nFixl3SWiOQpR9QoXFuoAEDSnQaPe9DK0kkLHuScbdY0irKYmdSDsumagwCQqhiYa7js4KDMIkBOOMcpMXYwwNtZA6xHBehEulHH0yjZGn/0ei66lwnCt0sFB4xKEJ45pi4gFNNCZRq56lpjliZ2GUTZWvYYPlFdk5U6+29VkAf5hDRkMUHFjSZAVkUfpsH9eGQbGZXB4ycP1DzejyEsiE5KS6HesPwG10aDkrhBO3Qk+0eazskOUOjcpq7AOg9ofgCqDpHo4ZJmGtreqghertWybzwjToHJckilpGRd7LiWuUI9u/YL9tsKG4UWoZh2ot7QfdaUVOrIcyia0c08c9anBFVbZFKihrWhiNgzVp5M3ToGlR6uW7xXpnw9VsfpsOAJ7SoJHZUXLSaePwzH7Ll4CSoYBZZdxgewckWpKJpuV3zFfi2QSNtT30ZnMRgwvAjrJTMbWov3CIZJnRE94bJC5Z0ckT0PYA9tQcKoYXNnhNSVzRy5Lf3JvVTWPcMX80/BnVFHIPeq7/ipYWjMSDymAbeUKJCPDhL2uc+8sM+zYMHtNG4sgcWqCBge+Q2llnUJPOsjy18v+I4dE+mTXoDVHEw+zzMimcIwj/z+ikSNkkEwuyn4DH0pDs/kIE53uWOBgKox+1JCFtPRFzgxc9JAwQSKan2EAD+J9viYtmWxHm5QqU3WiYOy9jke9tkVi0oHqDuYW/QjrI9NYCpzIOOSH7sCZHJ9H6fVFjbYcfJ30JA0idM+XDg5UcL43MOkVSE92zj0Bb6VGT3dXt9B94gUpINwWMWcE4ulrLBsWABaWuil7nsF0Gtfuu0Hr7PIPHPD9h1fsQBW2QOmtft1EVxBgJ5RAJA/dEqLPZ31rB3QYAUWki+FPIGlG1ysdW/43FVvg62uosPeglu/rEafMw/ZK2t0onwQDICJskMDqBo54l0CYMgonmiRqsStqEDsO0gH5wvuZVvu6poDL9a6ULCVFG34dryvXGPB/Ud3x6OY56Sx7eC4x7dIiG3NKCdRV4QMKN7I3vaNLIJHaWXw556UcJhem+lB9/JT6bO/XKhvefVczgaT8bOP6UoBfa5Hs4Or6tQmaceKRFa1yeCU84ptvJ/L7J/F+l6XSYxtHWdVMVHFGDiQXbvarsj7DmPJtIvNeixgMv06RGiBTc4tj+tSeJM46gi0Kf804xVdf0xF+wz0PvIquw1k8YZyoCnznmSUB1CQuo0gQYkhDQD5jg2sIzGsOCB1hHk+FxzF9rraCX2B3wNA0mWNgPHLyAZspLQcstZe/s1VnN97wp3shxvfDCaY5uHwmqKHViPX2GjOj9Zxdi3SwPhF88+F6tm3ILRHPZfYhnDLuKiCDeE/fpBqjFJ/u4OoL9ipPrNBA7Rc+50DdGXxaFsRH8Fr54J1QZLK2DEG72fgZTjQefGO7xkiCn8oc9wf3szepOywLeM4+C2/di3Tr+ONktlW6UQHDzG6pGGbGDsHX5Zvds86yLFsMz+ev9KizjVmKNxVpQRVKUFhXaDenMVhmLSw7sBKcZ06c3s6ci/ubAzMNhNgfYzVOhgrDmhmA2JRZ7lgh+3a5HqxfR6FV0G1/La6BMk9I4WH3GsQW7vBFQG2MqnxgC17NVPXikIpskAZeavl0e24aWNFJneQL3UjePST4LPTbAi10KBCtITsQPuf26556HQRNZ5SbD5YmElsSv2FVJ63oCxsDxKvwJpRPtmTo1Q0DKQCjC6qESKEA8G3DNm3f9XG7EzKNQSalMEQByga94T7gYJ4vvKPlgK3NTN537aTbWRlR1lQBJBlawmGDKBR0OwRUeKZLCmusleGb1IYnvo/j8d3xtqoaYBWsKE/IqvpIBGnGZnEMpojX6ll5E+d7KcAKFSsiwJRRkGx2B3A1NYAbVsyFhlCGNRh8HCEo4t6uQANZcNpRLcpFRxkbAAbGw5QJdvU/N1ptdVwQz17g8EBMbM4Ibv6G/lx0MapBKAsMHMW2omdFw4tApBCOtpULgr1CkvTKYR2GxqpAlLVgEPuITEH6MgIG1zz2BMXy3iYuGjZQ+5i8xqGkeo6wllCPt18IP3CKNUozqcq85s1qHHLBqTjnW1xx3Y17hAXjEt93ME9Jmook1paHyFaJPovWtovmzMoAXILbEnPGH8bWosMcYJ7GWpmEDTULjouHqz4Y8PmCoSpBv4EHx+poIHSGingxdCgU8x9CDdfGN6TxUqTaXpT8lX6BvbIpWWwfLFJOP1jJ7trwaLbmtAeUpsYMA4i3rcPo9cjFS8phcWgo3SnzwYDdSJd5XPPaFHma9LGskbzdyWcmm5fCwPTqUWUHD2spUMdCIDLbPsATaoq4aGiFpyyVeFktKNAg9R5SGUZUcliuWrOk+8dWGWM1qGxg5sMfLZ/qEoIklSkL6MmN18s1Opp+44tuCbU0uEDx/D4YLQxcsYAgaOTMtHgjKgYXU67cYfKyQVlv4U2hXXl2yaDu7APag3eh60y+nRs6IP6Evm6CCfMCtTHwaJHjS7psmdtkhWA5Y4Ncn0b38ZRKPbCvz3SBGJxjJhQ2cPWtDMz03RqIzpIWWQPDpbW5ciRwwFA94rZtWsXDqezzIkeivUt+vKZphTVAWjnupXFKIvwF6FKnnkS1IKWLON+VsdS4DMX+Wxhw3APaHT5ZCz8Jh03Cj965Eick1xucsAMvxdYmaZFxl2stuKR4wq1BcwuymOKHNleLsh5gj8GpX0AeIbih2WLhVv8jnsQiSJpaR6pAVaFD9uygp22A2uUWrkft1SqjSWhtB1ihE2w3aAviS2llLrZNjo9uB7YgVO0r0nLA8e1CxarKEqU6Vpcue689+508LjbnTRTiyWbHkrkgnhILG8Y7BfEg0IPVslGNlYGUpb6jApHV4mdk8pbEUxHOdqphRCMp0MJCuliFAFbYFW8633ta6vkqNRpMkYQyoxg3FQAFW4z0VeDZkR5ToUjSs2vpJJE+exsAaBpoUNnZFZ4ByMDyI4IrTDL2IYx5N9ShRqj+OEPf3jau/dOXObvYrQW0gUXXgDIdqev3vgV5nPvD+BdfPHFeFCflb6IF8idd+6NVLx3GAfQw4cOUmf+Bcq9ovl0iIDqqyxQWESQSprEvX3P2eemKdzUBLIUXKrWBqSxkZBlhpp4fOo2PIkKFwPGI0dJ/1C6hLLtrwAAN3dJREFU9bbb6AOUB7jNOABcxONbliv1k3pXh2KQ5ieBbFkUfbS9GkfTiWDxkwGRtiK/WD5JOe1fiaYmGRJAJoR6Qf0qEBEB2/foDO2tYgKzS5u57jSe1dVJB9vUWQ6JjXmXoZbjzphg6qlhpN66bWt6zK496W/f908pHc16oKClRYq6EhdQReDIfzLp6SUTdDUj3XNH3cLfuUaMu/yrSoUiLX8F8yB+Rl2khgrcHeaQ2fWLXa2IaM9sJqAh9UcwL8ySPvIow1KeivsV8EZ2iQrTYT1GasfRbvqWh2fAMwaFNtasjCdmLND07ZNyulH6/fffQ0cfTmMTY2k3DXXxwy9mjcdt4bpvPc8886x02aMvY63GTek4DrO0cjrjjDMBTzsdgzpG1UjTbzvAc9eckZmHcm3H93FubhbPEYBGIXtQtONQL2U4z+kVWDq9dq2HA1YRgnSUoenScALo0LE6xU6xXubo8WPRFMqfVSvH+5qLPOtjkiUQ4+MTgKmQ5pnHnWs0AoiyuDaDwjBw3YZgsfMpMDAhCUxPzONXJDTIMz3ihOgAKI3TZQuVwlasDw2X0AJKkhrgbWecFsTI3RAEMDQx4rsAt4jGya3Uxgfgazfdkh7x+CekhTk8qKKxiLvGnDW9K/p8bXXQu6E3cLqEkQ1s3RMu713aJxqNYnGhLsOOS1jGB9jtdOmWzOYZr055jTsWgfUnbt8RypCFRhguSNIdsUNWGqNHyigXNPgeo9YRrc2SIWb/RNmi3paNj9cNXIkMLrwexct591m7o5MFhMDSwTJmb6AoUhupx7at20gbjZtyCZowhfA7M49E5lyjjFlGQFGF5V58ySX4Cn49ClGBMtjEsd0ZeSvTqb1qWFavqyPYF5C9AleUesBWxjCWVJ9kk3Yo3aWPelT63Kc+DbhmoU7OgOD6FFSNBkBckZ1vx6HXuAYB2MU4red2Dy4U8iztQREj2CdtBoWKm+DT0922CVEqOpWBLSfxJvJmFYB3UEIKnEzQBaTOgnRhx9pfgQXxhuIIx0I09RdVHyCvOVz9yxCP+vYqi6Zod9NbMygDDqG08nmwYLThHkbLIh4yqtaugs9MMxnVQ+ILjUitSIWko3esBkQqhSl9ZXKnvhYwrL7ru8Z3ntJTWeoWxSrCyqKKtEhoVTYkYkLsNWMUeo5fWUP7ji2tLOozf1tGrryWNekGL5s1nH/++YBuK9RqDjZ7Z7xw8cMuDjAePXY0ffWrX41dorZt3x7y37333gsQMAsBInvITrJDpQp2fBOQ6jOnzNehHArtAsk1FO5IHzIa+Xb1MJ9kRoFB5Va6FIzBjdIhsKH2FTp1xGUMJD6pBzedHcAN+2Zm8tEOquxnnWwDPxEsENex5S7PQmGyMQhGkVI6P6w8NwCo0hS3WitqV6U8gpvSMGiRbVE4BlM6I+Dp1GRGhGUDY+gGsnrZNC5/xIWfMgmhaa6MV9QCZ/+5gL2LNi0Yp84eS3P3A8CVbDcrTvaXQq0JQA8zrk8yyX+c0Y9mW2YKpuSMhBrusENlQPGPjHpIzJpKehSsgBNiRFuZ0WmuC2OmzVSgntY0mFTMoNy3CLjJAtDR0HzcHNFi0/xRWbonAGtjS41syOiQGNFZOra+nWyy9957DyvMJrklm2KfQ6jHXfv2hVKj+/mhhUP8visOU/Toghry1szMDB7VxzPKZU8K62EZRWEdkMl6jxFPKlFDdtOLu6GhnukodKmgfFJKlz/GwYwCQ5CYFlTd0lk/gec4UxQQT9vxKN8Cmz3EKkE14Trl0ZQklZ5hKaesWIAen56OPEklZNEAE+mHnEx6avgh49FPsuMwjwD+MoOjipLTZzWb8p22XI/TVWHo0ScD9o5J7NOICpDKowATzpinaTtYSPNEA4yF8R58PTeL4tFwl62xdH86Yqy1Aw/WBKCkvYpq2WK+r6cxGHedSmkC7LG9P6zAhokK2GzMxXbcdJwO19hZYLJ8/RxXl0OOPSjgsrNA5QFPe4QxSCPUdelmWmgEioc+n8lNjlBAJtvUdOTOnaGc0AAh5zgAaLswYdiGaqyU1Q4ToIJC5cZROzo6GR0KHoKlbN+9i0r10jkoHwfu3x/anJqxmrVnnCwCiCZrJhqMLin+KF5A0mrLM8/Jk01YVp0jUfdDKeFTGF+Jw+4DNXb9V/EoUhYVqgAd7NzyRsc52uI/FAh90DJ3YFvAKt2/dx8Ljw5iKqJ9aLoqNsgWcrYURU1bbfm+/fuDsgm4sAxAib0f7cHI1cYX/UXbRHM4ALhRtI1hp1VsWB1kwgXqVYblVpyqY3qtjynOfQPLcL4yipLbKatglt3dVgoD0GpQPjfFbPSPoEYoTkAWqLubyx+8/QG80c9O36jez8ZUEq61Ay2yOmh9bzRnkGUpKCNEOw5/oyMd+TYGg5XAH+eBMYcEJaJy/c2wX1IY6OFLJbTlCYaYA+W7SqWd2mUQR35mZ6PamJJJyyFLyT4ADOQVaCyFdW1V8R6RBKuy2yKNUB/lJf6bh/KU25BROeJAUWBxLSiii24aCwtpfHIqbGiuWGugVXrc/aJyYLAd7F4qGSgVgkpbmiy3BSu+BcVFb5Gpick4imxWysJ7ypCS9pBXyctvqZ//pYx+y8oEoFRtHtPPLSzj9FRLTUwaeLvaWQFaZlSHOwB6KVs0Bg2jDOtz28kEI30bbhgY3wxantCmUlm7KqYx4Soxr2wZQ5mAcnIJJUj9UfJg6WcVOc8TlqoQIXJCLEPGtNgQCOd7R8xz4ASG3dMLi8GFV14UPoZswrVuWBOAqtJzkHuPdXdGRDYUVHmFZ+mwerYbjUOB1BAw6WTOBytqvW7WPLAxkP2K2KJqzLp0HLEIr7KiBVR/TRfAJ8qQgc/csiDAQsahMewQg3HCI1ttGZB5GmdO/ZSbOnS8p3KqIe67606o4Djss5p2YobRhHT46FFGcJejKbAHkkaTNjBNO1qzT/jXoUD4bBEqIAOtkZ77IQonGzNsdFAKFZcyU2h7zj038nXfPVm6YDEPxQSpd64oyILrmESm0bKnORFpFuB3ta3Zr+ZEhTtQlzjgBzYYLJay5PKfLRM7lImANYL9FWYTnwk8vtoOYAaQpXdqtYciqcgj4QFqAaxg+1u3pwlk2y5nuxShbtoiPeohEkLhVHSqsoOaZEj7ImhgPfQBOMcoigx7EaLIrBfWBKC7j3padpw3BpmuYf8b0Og0V9ZgpKZVPQuMhxHMNRiKi11mSazdRgPKh6f7qGxrSnGzxDJWeilBnw7Urqew3g9TAnHtDD9kYS7KW2EQphGlhIYiHhrZvCmsgA6Otbw2Mg0sFXJ3Tzc6b2JbO8a2IhXY2jisU4om6xZwAkqwaVQOcJGOFEOttkbmHSZTO5iemrDDFobbEAPokCogLwMU7Wgzi8dZcnlzuguZswNlUnDXZiflsxKWUVlL+c3r+BYAmGxmMZAH1aOsslWNZzXqVVNZIIRGPgSf72YfCECE9dtf2U1lLipj91EXOVeYggS3gwoDtDOwdUxpJdygdNTA+RA8MLePaOCMT4BGAmCWUGa9V4ALFBMQw6K7EK0WW4bMHJnGDjqRZlRERPwaYRUA7dQmmwmNshp+nlVtlADSr7+/bM9xagPSIQFA5Qm8c2FZ2uzqTucwAgTJ6QL9lwrjsDQqrh/cACCMohxgq6di7CdYPoa8AxWGxZ8Qhu1bpJx2qNS5widMAwDFrAWbrEzNzWsNwYJRFmVLqJGWue9ia00QdqiuYVImn1W531aBoCJS0RHMK/abcl2J5x2Pm7DliCPwq7RFhY5yJiHkK8sBiO2wY8wGCKIx2L2btWsYliW7ztaOl1LXST+MyLSl9ZEdBkvEEuHMQovBIiVXYZJiCfQIPGvTN1Lv3FWOW1HXLMKJf22doKjURfA4ZcYUBcCGsNCefQZYsTgZ3uwt6pl5FrH/jzIubTm1cwsDlVkaOFYFx9/wUXRAkWmTOSjbQuIgJxPYe2+/Kz3sYReme79+KAPricWJX6sAWMGi3cYFQkMo6dBRmfXe+b+QYyw8MDQLeajXJbZN0wumPIUCMUWjOu2CnMZDwhAxXvvJXiNhgAfAyhycUscuV2UjnhKN31mgQXs4tyLw6wXSxpjpqA3V36QiTb6GVIQ7AZ6YL4VVyjYFWwa4DmxPFllk1wCWMtKxEzhiSjEEhZqmU1ECoYKG53SSlN7pJkHCyAhQdpj855Uwhm+ZxF7I2omDjek0jplkz5m7oODtdN837sRRYzzO5z2CGUeFp0AnlpCfS7D+Ciw8pgqlhvwuS+VNVFDDZcxLENSRHweUQxar2ahD2XW2yD1bLIgzOm4krkx5hGm8XC6M9GyQCMGv4iqXBW0z2w9RmQApsZtQRhzIC8i41qvoSkN8skxrUKPeA4gLytEC/dtpHIO6w1kob5nBFs7AWDolSz1mTtzRwvRcu1Lm+uD+B9IzHn15+njp89Rh2HFRouEf+pMqT7wpv+focaEy4woS6tpgEC2/p7MaqNUhsFIwG6PrSKaBnZ+EiIUS0VpktRTzaIMishO1GLCt1kDPmvhAhnGbL7C63qMeXHsyzjYQu7fuTDvO3JHqO6FAuG63+qTRkfIqV0KtsJu16eDcvSpXOgSVI28MW9vVV1+drrrqqiiXdcmNw9u27WDx90vTDAL9KBTouc99LjtHHUTm28UmSc9PB7m+5JJHpsc97nFpP/ZB0zkXmU3WfO211/AOh7QA/lHsX8pAe3bvSU+95qnp0sc8Oh06ejjNwCnqzKbYWTPHptMPsp+K5RAQyomyeyn1RRdemJ7/wucjd+5L55D+s559HQu772YR/WOJ/xR23ro9Pe3pT08XXXxhug+W/eKXvCgG/gymn1e8/OVBqWeYkdnGtJ5zym6l9vRnPCOdd/55ae++fRwjOx+UM0QB2szBZ/ArH4zeEX8SFa/lZAJSDuF79CK2XsYDDLbnmhKVEKwfTtVq9lKZk6uIh0gL9HZxWughQrlYvb8AC0dZi2WazJSEqEO/Pfz7HpH2salUCxvhycF0likgmVcnZUts08r0kcbMrCKyCUYDkXuiGMrmdW5zC/2YkSM4nT6MnbRiwhktidQVWNVCLRj+DKEhjm3FtlXbkqZQAoru6wJgqUKYHhZci7BAldnwqGcCGNGC25Nn3pi2gCaJ6OQhdZA625g7UCgm2lvT/gf205jFtP8AQOHsYZWIB1hkfWyWrYIZvd5/4DCLrmuT1KXANnAzKCHHsWHNwDaPY7DeH1Rzji3dJlm0PUrHl6A8x+bnYLkMM+Q1ZcT2fffFXKoC/kxjjnQQHaASW6e2BYimSesg88c33ngjU32YK3im1nvw8KGY6z2O7fAwVOzW228LsWCGbTy+8s83sIvXA3wOsDvEZ2MToqz9PU6Lcz1gu66fOTpzNCi1g9FBIGHLr7O+s1+yfgz/QvuNtpNNBocCVBIZ55RlTQOBVGMWYwtLKZkQYKMsvnk2D8vXzKLXvH6ayISKG3ILTTNdZ2VYiqE9kzf4L5vDfo3o8Hcf/RCO8YhCKLTuYRPgiafZH9Z27+ZcQIqutyo5jpDIgHk7IScRj4ICniHs4v3IZpiX6OiOEpcGYMdYQEhBNL5SIaQlxpWjLLOlbRnnlEYOrimOTgA2XIIcedgAgXzMHixwuN7cEbaAw6zjMgF3VejQ0QynJfBFw/KelEU2pyy3e8/umDZbgGr32SJCu5XF8+wz5bxgRpSz7Ao+yLWfTIOmfvSGoJh0dgIQeUq47FDvnyYKQQvW1HQynjx9Z3LrRKyPuOPuvWmUHUX3nHVG1H3/vntYKzGSdkF1jwF0jz3QA3n37t28ij0Qdq+iIdvMXa28ZzmdCszEgTYDYA6ZkwMdUYosv9q0BvMF5GwBKVRsg1GcHazHcRUWWGgOvACiBMM+W/EJJwOISrDhSEQA0DKApYZsqeWjoOsUgPKAoR5ptrCDdTnwZrDAR6EXmbEK5++WZ1KFmTfXoOhF1caSUcPTuaClgH9djNK2oZ7T4cI5inKHfKmXlIvpg9RCbqkGmvY27H1SDxIvMZtPn8fcJX0RwcZzFsHGCyF+WKl4yLWV0LLOeCDB7LcJO0WH1C7ZjOctdkeYRwJedK9oWGIRD2zneAtsgjSw4lz3dGKgDGVO1HSLjz4dw8tB/jNfPeILBD66BKnhSvXs0FGMqJZvx/kXp8dczt4mdF529BaNR9p6USvbSSndzy+osukgz9Tp8DZAr9FwHiPrgvvdbESkC5ZuUMbfD0Wch8Kdc8GZ6bZv3Ir+wfYVsOZxwK6I0kb+nJgaYypuDMcHTn9nP7zLLnts2nPGbtLLlAap1xgatyjKuormsctoR2VtpakmQNP9S0plutaNhgxA7oLa6injzIwnRymFOAANsn1bX3lWlhq9G0+yP1K6EvNn8DPyJndASiOSN2SCPoYMBjssIJ8OOMtvZOskzg5MPiAbN8apHzbIDu5ZRTymA+QQiDpcTHl0nkNv+nWoJ23imvA+1FEaaDEqesFQsjayeVIUm6I+cLbiXDbFV67T4f35jJwGnxdKVEKSbcNkZgjYKQI85IF7FNzEA3wkze8aB6NkMyPKbZooKAQAjI+SLgAFG/iXcc0pPYJHj2mX8vWRFX1Xr4xKEYUBJ9QCW732oNceCyrgcvDlcp8d6AScDaFZI7ZTo/WP4M606+JHM23IHnbMZzZaUnE7KgNAi/LHGmL2FBzBtKSRWW8bQRBWcICn+aPJop/9h4/TuVV29prEeWErO8mfmz7z2U8z3YYPIdSpjrlomk2LFmHDigKeMm6Lz7JF2mE2sLzqCU9KZ5x9Js4PC7DviTSFwjKLU8FhWHQbymUrxkZLlF+75CKDbRwqof/fNra205vG+hlCw+X7rLPPjusbvvKV6JcxuEkDqt+iHgbdtPpBKDKRJ24O/8gFdCiRRmi5sADSB8us0thW69XMxM6nVQhCC5lucWEagkjbMQgGKIVd+yXMMoo7mJwggS5tGGU+uY0dUDtr8E2I2RCCcDDMTXjUjHXZdZ/Zk0YVcQiWHBtrIv6UC/OMPtyfVO/bdLieGxqVpRBizE8AgCQ97SgDoA+yxrF+JVCvVdzVc44u7U0aMzNyT9W577UmD1m1AArKRuVlkWVtTyTZhfXrU9ZXA4V9S+GUJ7JB4Dew856jGa3cKS4phCYLnQqmp4+nSbxaRsc4forGdYtZzR9qyJnsBY0hbaeL7PwSVn8P2e5oTtGrlbJLVaxbX3d02PwknapNUOr5sIddlKbnjrJL1kXpODLcIWS78NimPpputm/bnhoAcBzlxX0F51FSpthAaBzKd/zosXQcYHcsP3GlyuiTAQQsIXQc5aDQh48eCa1+FwqPO9QfZVDZntmakwLuZDtDOx6DBbsH45133hltR1OGPChobSe5hM1srfz4y7pZzTgLmGtanbQzAMoF8coDULSLHSalBA+xvw+MSFk+NiRdpCwMVKhUmuscD9uoJiUSpRz0r7jgmalHKlxqT/aXZz9XEPHcS5ruC80ZnZROhPhLNi10CTkwprV4xQpQwpBD0HWiYt7KQjzlkgQ9O9YwFD7NWHnBbboMETPUL68AsgVFY3HqzFbpuxpPVs/2Gh3IuOxBtuWItjGdEdE+JpA0GgtmwbfAZoyC7jw0ywsuuIBZBDqL+7OHDyMXYbknnSbss0g+EvARzsil+SiQ01o0OGeXsMSKcmrzy+ZStcmNYYgPMwwjavbIQcoLNfCzcIS6FNMTH//EtA9WeOiB+2FLeosjMtCwT7jicZy31kxf/9qNsCqajqykpqX5ZpqDEjbHmbo798xUg6Lqd1Vl1A40b5DOCPJSoT0Py0ejZeNrDdgT1tUWo9kcBMFabRt675KLL2YPxEelu/fdxW/tnqpctq8ljBaPhpcimYYAiXb3uUiE5dqOaqse9WAeZUctHNHVkIosoCEjKLxLVcIhxIHjiQzwOlPlfag3H7o7gvFIhDIQyFixQt7OhGZqFPA+9zaR1bY9dhfJkzvkHpUkrj8FwDJ94wYhohkpruLW8A9A8/apgqNxGEmWqdC8NGwlfYYoGakTz4bO4+cynuDbsXNH2s60kBsjNpizdc3DPFt/7N27Nx04eCAM4m06NKixdgQGhJSSZiY70uS3/mxxSB/2Qdc3d1luoGnH+yocYa9yMNIATvjLVpo45SrLyGbbgOnLX/wSewYeCkOssrGDRwfTL3F/gXIpnmgxcGewGWyIc3TyCKfGVzF2P/yR35cGbGp+D+x7Ab+5/hE0RChmj87ZvQVn1mNlgI4zAgPwGNpxeLuQvtQlY/UIFYBRyqeMasNJ9ULOJN+T+y3aNv5Ezw5/Zte2cazvIA2v/WScDwLB9coQoAVM5hWcbeVDroNoeo8C5K/mKdi13ov7fvsbKqmcnwEQVuPNrOPpNCMNccHtpRDzlku/hhfEG46xk5/wwFT9yr6N6ZUfkw8ZR7DTuFbQTzQEnRrv0KD+yyvtWmRZzwCxYa43G4J3PBumyRdUDk9hNrWM+SRmUWSdPRQf9wQU/O7Kr8zoFnQaeud6R3BUYMSC2nFMLTopyDKqaLSWUVvg9PQxnBHmYBsqTjhqIifWWXY6S2MHuwIQMXtBL/jP2RM1f00/JJwWoMC7dnoOx9Z0AEVi8owdqbB7C/6T8B6UhyJra5W7F3FmOOfMs0IJ0TU/9lzMGgoukYHCzvfj6sTt+CrexS6n0a60cQbQoD02xaqw3A8mqtijjJ+1u6C2V7wXCpq9RJrRHyu+fU6k1WkP79jVYsc+zv5kX77hM4NfsfUfigEzWIwu7kgnsgjMm3Lh54RAChZszXBy3GGk5Qqb4XJ6obENK2LBgqzzLSXJQei3Fc0EW1nZYmh/UsQGHaVhVheoDvOuF114ETuuXpIewLDsvKvuSIxV8kSAVjbBHKJGOcIREuA98rO9F7V3csM1DcpfmjsEn2B0HYpA1eamI8O2bTt5D42b3XvOw/Ryy9e/lvbfcw9AZR8WF2dDTS+//Iqwod528y2RboU6Sxm3evok1HOAeGF5F7H1bb/w/HQQ4M9SlzHynUTzH8f9TQo6ykCr82lgR3OdiZRYIEttY90JTXMhcugFF1zA7rJfDiqmw4RatjZcB93awT7IqJ1AWtknNrdt4/MIlD0jOBko7a7MysHTFX2ZRebWqov8RvadP49vECpFd9Bhg0QOcdCQgbJDmDjsHXM8Kaws8NIjUlS8O1Xwvfxdso7O8XeAjZq7kt8G8Z+VzkFoCQR9D1lMTVGWo/FXU0qLBtd+pmfwvn17sZHtDxtai6m1Jh2re1QBWa+NYqNPmz6OmgzaPNchtOghf4DVIxMEaBOq2kA5USPMVp51OadjKozRLVj++OROFttgqijMpRu/+rV0DKVCBUpWraFeOezTn/4M86bMWODKP4ACxll5gMEdD5rTbG87mEu7Lro43X3THems+kTaXZ/ENMV6WepSZabgrN1TeF3PpP0HDyLrjjHTgsxEO9FVoQwokWmjcxbq5ltv5VSBm23NGKQOTNswFLc1O8M+8EFG+by2i7NuFhBZf2d9hVgR/ZLFdZBmrDmjmHlfrswmSzu7E9lETtnvHEl5HH9TBUtC3/BLY3eId3HLh8hMQZKzBPK/QZXyHyu+FVeXQ15RMogcs2d55v7SpKPJx/RCw+Y7DKVUNH4T2QYJtuDgoKCCzo8j3WeyvsxIm1EovZn37t3HMwVyNTtECfLQ7hWWfpBy7OghWFkRoPI+Xht1jK/tBRWfbM2HIohztHpzSKWV8wxq2voJHuSMEY3fu848I+x97QdcoANlI44U9Jzzz00TTNxPY6rpWBfu91FS6lR6EQPrTsp4+9dvSjU03M59h9PORz48bd2xFbPNobQVdnrHnd9gLpmNf2j/GQaaDr4qOJptCogGkQ91L+Osu+ecs9IuWPonPvGJAJ1ldACHMkJ7nhyUc/M4kRARbEc/eb/6rlzAIKANgi9AybX580L+enYnbmbPljXvZYLj+xk8MhwYnaf0M8MJ0xzHvEWxYyRLyMguMvW+EVei3QKuCqRrYlFIOjAHnW2wpsx4knAZU3oI7BZrJficZw7vWkf2MFPTswyCuU+eNobxpBZboTrKd7rsj45gX4Kl2eAaO7QpxhZypOQR9VI8t6joIxtGh0FFx1j7oFKjyWeEDBzxdkzsr2I6ULTtzGrYLiUA6jy1A8R/IWd6n3gTnBd3hJVsTQ2fUEh3GnPxvIZyHVZdnzv/wMFUwS54zmO+L03tYP/s3dvT3TfvS2UGQh12XtYhFW3YNtEJVtnVSjsotNcplszBakcRHSyj9w2CRmdYy3hy8Jmr8oZQsekiaLyXxftOTLn6HW2cKT72p4qK32425LMwYsfbtIEJ+Z++8ULRTSBG8B3aTflbRwX7Vz9CB60eRLF/eJSEho/GxMioOh3Ub5hGltJm/gpC4z+4BGyXjBrS0DYENzScrgS4133Or6ujGdsB9yHYO1Mhi74QuuMx9AFAnnnGcQPLPmiLhtadvM6C7DKG0zlmHeaYJ+YR4J0KW56mH6fCnMcsqkzQOS7a0VDu4HTzpTtuvQMbXyPsdFZTGdFGdef4MfI++7xzUYSmYk64iAdxCbAr080enY6pzjbTfQvMOd95881xGOAs7Lyq3ZQ+nGYWZFzPINLz1NEOoJ3ATU3lyFkO+0uWPIN3T495aoGjhUBghLMA7WX7nBwEba8nqLOQg9T3LL/gccCaltOAymibCeE+RmOEbGcZoXzmkecjaAWm27u4l4xl1J6oJ1h0spsMSi3DViSYNxGyCmfUz7qvUf8NpSb4shmWYcG5YYUyeYHRBBvhb2Bbdim7cMTvxDzz6Ec/Jn3sYx8LtruIElLCzO/C6z7Ur41PeIUOVuboI/+12YFgtjUHhcUOCMhGMFZrxpDa6QGsQ4KCrTsf1FBEalBF19HqF6iSc+mll6avfvGz6egD9wFORzVsi6nFyy57dDjU3rlvH8oHlBeFI5Q5yuqgHqWjBwB7DLnQc5RnOS7C+u4i3Zk2+yBSwh6sWt9GKVYY2vnW5b8dnYPvJaIAgkt6NDbASUC9Dzugsq1TeXpMC6S1QtYnOTCVtbNYuXwXlJN3Y92MA58IawF5rbS9l7NxHVgV4dTaDRkXtA8dGYo+lh6+xCAkF0Gfob+nRdx3Non8yCUyyq/83lzhfSMbKTZM5r2cpaEu6z1RzX++BR4XMWjimuey4eOwvXB1j/g6duowiQkEGW9AZWUFdQzaZagfmaXG7DFiEvDwmJjwcGZMPBiq1ZZnZpHhsCe6IF72Wse0M8LKQNuoiUJy/933oG1i7zMFGtvRbznvAQzzaOv61um6hZkrFtK3aNMZ7k8BNFo/jp9148/GwSOhCU5wv0ZZNZy79Z2asP6KUlvrbb3MqsdvF+bbUeZVhZpkZiaXJcDWGDCmEZTSuq0Itq+mD77iQ8HjaSZmZJsMCUZX2kkV19ekVyS64tJ37J+gnOShjG9eWlnkIuavUjeCqDPDlOR87A+HmOQUUpGM20EBLaTyBG9uJggIPobsK7veTBI5qVaUkBXwPwzGmVxihSL14Uijs5CXApB0vp4ie/fuzUwUaL7Woc0MBNY1GpNJchpnwc7Dy8bJcl3bnWqzc4t4f0wDXuegZ4ruguB/WAS8QYcKqUo2L4ujAp2vs4AuU8qnatB6SWsOGsGGeBjttQH4VCjMc4yFPGXYuWtoW8wwtZhhGWXPnQLzyA/cc1+sv7DB+mi2U1DaLbVtQT100TLt9jQbCSESxHIBKGEJb56qYLccHD9RwGFXSilwLINt7++1QtY/iiT2sRxGGY8pRGyRyrumodnJtszBtFY6692T/dug5hP9Qof5LUtXpHIQaW4744yz0qWPfHS68Q6cKg57FqEjgUK7solodBCUkJJlhJBv+4nOD3th6CBDcJpRlCb/Jp4t4F0Ft3g4jLui1KRImjTC0iMiSp65Hw4PjBzQkJ1Hi8+fBXGQNDGfzMl+Ink8WHBEbXP2cAMP6tGJHRyu/HSOO/1LapCVYxGvlnC71/4GEFxV1qF8HWZIYm4ZqqZG7G7+XZUoOqCMaca1F7J5FRsqFGxY4Uw51FmWEXzfnvjkJ6Wbbrwh3XHwgTSOM4NiizsHXP2Uq2i/lL76ta+yEyliwBgr5dj8qArgzoAiakraxnyxx6l25mcibT2H29RrgYFy0cMeEVts2HRNBox11c7YZ9rODtQ+eESvEvK74vLLWZVXS7fdvjc2RxqwHZlWAfEXmwXYzjQrTI8PHRjtHR0IwJTB7HZGRvYgrAv2mYQgM+UokqmUDUGFCBN6gtggf58FWzWPyMekBDfpMmskS4/5dgqkl3oVOdidXW+741Y8hM6KVYN9d3l1663QPpmljs0dSSGUUtOTSgsW7gXMRI2I9LalJeS8P37kf+KRNfaTh5N/c3/psRfKeMgHNHgR4Cm4L1K2Lh1Y47s+uQ0/wvF0nLlZSFFolv04k6KS7oeVvf+DH8ZJFKMuHspOe01yetEMDqbKNBW8Y0a5X9Xson8hFZtldgNUUgHWwqJ1TqAdT0B13HSxp32RciwCmCl2T/AQHktYZuu36SMz6aabb4KNYMQGuIvIoSijYLTHod1fxDtG30LSpONasJlFpuK63mNdyg4oox7ZLi4//9yzMTSz9ADqU8Ov0NV698La3SJEB4rp/bMhQjRRQgyalBa41p5pR9/wlRvwy1M7p4OZutN8VHUxGSV1QMQ/+so5fge44kpsC8K7rrl21iSjfHIa1htDudWms/5koEJlvRZcdnUAjuciLLo3/kRRluJomNAua3oCTrk6xCLbgra0TTsoj/fcuzccVMvUOTPDmEtQIROA1FOJYH1mwsdRESuqbIkHHYYlJm1xLJWRGnotzs03HCGJpqPmiK7ujOjGAgZcFIcKZ9JJIdvH0foYYQr4CrieY6fL1NnnnIE4tw1qSfndU0ZNd0s9WKajsQ2FcibCaUY9fgSkR0kIvhD+6SepTiwDoKFLUL0FG40GawBay9hszKT5Q0eCVZ119rnpyIEDuELhnEkDd3FpmQCsHbYUbtNxrv6xgwWTnX0ULxf3zxnHVKS2LqtU07U7ZbH6+O3ibDbPPtZty1aRjdv2xrOXg9KSph159tln0ZntdOieuwMc0KOg0h6boUJpfMGIJBEUUUo7wmEz5jWPCcd8Bb0gc3ZGwiIL1tYazhvWgThSQMsiDv34Kw9gcfkG0QWeIoPtnYHXHvat5WCZVENqnMI6R53DiqotyE4Q3dk60ey18BvjfYmeDSFYNh7yoq58yWr7j+DtpUfYsiDpDEGoFdNQsNcp5k4rkO5GE7YLIMdxa7IjyyNQMU7qqTJgaqzp1TGhh3x15eMemz7+kQ+m+2bYPZS0trLTwTTgdeeqFkbdgesVWPU/Slqxvx1abZPGLmE2mQAkHexvDQ40jMExbFmXiU5ipzs+j5cyLPmBe+5K+2/+WnrWM65DbnbhEF4i1TE62bUxHVjoBWkKl/87b7+NdNiLBoVidrYRHSMb0o9QLdrOEWR1ps6kEjqgCsjjKD/GkxLpCQOyoHzMfECNbDPv+54DdSvl6rL0sc8gcbNJqXVVG6ciBx0WTUsZlIcLUOfYrJLuvuiiC9MjkcGiF0hUiqpYoJ3u+uuv5zDGO8gpM1oLRkYSxAGTCWUuQHGlhBKjAKaZ8CzyY8AJPEEclI++stxrBQdmcDbKijIGuulM1zRYWRsieLwjjvsCz9qEPJBpAmuluc691SBcAt/wDW1DZhHyI5U0HzcBQiCLRm1CNQZ03DHkplHAybAPL2apgi74NtAc6y6uf//7Y252y7kXsYZjPJ1/8flQIupEOscPH0n3cZr6NuxpU4Di0KEDUDc8oGET5z78IgCNhooSccet32AbiRbuXeele9nywpmIs1n4s4tCl1AmJjAm3/H5z3Gs7EdgWXQOwIu9k3HFGmXG4tOf/jja7kLaCast057ubrBr1xn2Z2iXC4DLWRLrGhSCusbCJeotK9a2qL2shGnHdtC/MLyjkdnkEPaHRun/v7Nz6YrjuOJ4wTDSMAwiIAg2j+hxjpHCcRQdH9uSIxFlkXyCfCF/Fh9nn322WvjEm9hJLCNZEoiAeA1ohjGvGaL8frdoNB6xkNPS8Giqq6vr/uu+6t7bAvmrr/+O/oRkQAJoJNEhi5gxCQrFrlyDNS194c8ReHGRciRG9KjfTs/MRGWtEfyf0nhxcTF0bJ3pckT3wCUMw4guHVdExNN9oetn7ihF5fgOIRsenIijl/u9OU9fZEVGUCsjjIemV/QJJwYdjI14LWP3Un0OR+BzZRboiZ9zFO2jh+jnzRl/8sPEKk756Nszrm//dCvKh3C11p+v8KJPVqYLBWIrUtrkqPbDhSpsvx20sHnLRK5w7hhdqEnijEbHBZKbWlSDb8Gxhi/wPjy4Zgu9TKvtAiJJC3W9vgE3JboFbluh7ypvcz9a1Q2ChYxeOXP9eqrDnWrolZfgzm0y6dtm2FC7ptQP98RAGqQvfY9DlP84QlS/NnWRiJkWzuJJwvKLReY+s4fEVBwSBBhgk6i+z0PDSXeF6Z97ADi2RbnEIGE5jFaqXFTVwTTQeoN4QwJ6jURXx1PXG6qQBx1iWPToyiLZTMlCpdY1wta++PIvjAdXFeecB/2b+hclhWK5NsKOEotKYkXIPqLesXpOsGag0VzjTdzImEJUM044nxdmle2UE8cTv/kipo7Rm/uZrxJlWj8/Qy6dObDC8vFmFp50YBa35o9hsMgl8yrwFI/H7zbi8vjkgUMfVq7c1X74Hx/bxeqnbXTMV6FptHVEovAgVgwwesQybPq9zEGFvKlDfgaekXCHyAXK6DsGsPbhVhmZeA+gmXOiETCcLrNPukemm4kyW1SWssrrCTrlobsHGBkVLEBfyN0SsJxrE9z6X7hfiYWniwM0hA5mJPUhRF9B/H7/zbfpxZPvyR6EQIz5oIG+xzVWb5AIFapB6eI45HwVEAySfKVoNIPNxPdhuE2hZyneYm58RubJ8Kqxy6Npeno6Ai40VgTvCWNU9Kpb7ezWY7clrEoA2KYkxi5OcxmHE69LxTmbIp/FVyhodQvcKuJ8n2f2ncmjbAFq5QpkRaHbc76IW+OhyEERbBol+gINf7MfaaiEFAseBT19bplWNwcMPNmwaMtsZQw4aw5VhQ9Jy1hLFwBgRnFubcPiSgGkMSIgVTDllnae/XQ5YsKb+3twzmDBsmEGxYT4UCrMAtQ2fvfz2nb8i+HwxXvSMoIwBR/wjom0Crvvo9X3ZTUAOaRFIPWHqfd43QAGxwhFGvuZyMnpX4W7xShpqBNAOwJYHYBnjJ6ZajqnLVM2QuWHE/S+Q1Z3FeLuoxBXGGMVl8mBop2+3SOVSM+fPQ0xf4D+5U5KdWQCcT5GSV220NDyK4jB2FYCcEYXmwO7SfSLBcJNjPc5G0RmN0kb0BC5ROEi/WOWiVNfGsXyFWA6wF+SzB36IgAQrOpRAnBze5P0zA18lpSJgy7qiOqgikqNEa1ki05qwVvRwB2WMUrlWoyzif6rxKiyCAzmEGByKu/tYXibnLd2WkGiAJAOfqnkNY4hxLlchr4DUPzNOADbe+h8Ftxxvc08eUpfVQqvEWXijQClYGY6gvJRXMBvDs7GcUM6VY+S/bc5pzLqwD2n+8aO47DnrkOAFVzSn+PO/N1+j+0fVoaEZ3x8h4MEsJmEPOrMiQfxyY0CLvXEbUDFvNJNXAGY5AqIHkTIa3IMLg0hkjFOjHApA1KTupskAEnEfsYbyUEo/U0mkyWdfgSAR+hk+wzCRKB6vc61JCsBZAmiiFOYWGyyBZcxAX0YA6Y0Pg5H4UXRJKKXFEvomSeklnqU0i/hoBQURzS3eZaXWL7bAEcuUoR2OXc+q0T1nG+JMrFohL3jHVQPF62uGDPx3Jc2VtF8F0uYyOis8zyMA7qGMWYRd6AR8yx3UhroWoooIMLk19gqREkkHIM+2V92N9sFIMf16HY4G1omTQVnDdBa1L3JomwxF1rjAtBDXfT8I0u5MFACdV2A6rlAqKiXqh6oUmU9r6tRiIaMBFDNQ3NTrSQDCIMLMVg5WgGqMxB29eGPZ1ETrpr4L3zgLPwt9gy5t85M1WSVaxVgLV1QGjrEHttdJoD3IVoUZUakuMKMRibBCuDu47dj5bdJU9xhg373MG2ShQVfDyLHHiljvcjKl8gTgGcPLmMg6uzsNG8A2ABkcCwco0tLz1HOqWQPKNY3toj9ozopq9vSFxJATiNhB/CXDkKDCVxB925MpX8+XU3DowCXLb16ax09CatY0CLabStn0YHuwjOW0VRRiSTIddE0sbD1lRml0yo3Yj487xjCYIBbbuC26fD8FWig40ajrLW9lS6XMS5Ic9xsEIRrCgB/LVEkwN2XGvreCGrMJgvliDlpUKPGV3G5Z+zLYwxXE4DSUdqqIrhYTYJSPRgZpkg9bQWstLFd1usgTw+dg9bxhbkXT+Kbhcljnnvk0zAvwEU5lvLnYWgIy64jfrUzejGHw3p9cjIH4qfQE71hIcK7v9P0bMA0CADaPbwOQCOCHQV9y2XD2qYjfXCwVTgMGV/oJUb/7rj6hSjiwCiKKoS6cuUKnIawJZKKPr0xm66he9XosA9uYjbQxPhlwqt4oQ5gHYBtCPgxwHX3o4/gYhgbgHDhwQLRyHtsfw2lBwsLaXVlJU1Nvp/u3rmT1tb+k27emEs3P5hLKwATmyZNU3FhACIPo1N9MF6i5slUun11Kj15vJZ+e3MyfXZrktWEuMJBrduixpabbhYeMAhstLILdX5+Pt2Ym4sInjvcS8DLfe/fXwju437u7+7dS0+fPU8TlIn75M6naXlpCaKepAlFKqqHrpdfX5tJd69X09y1WUTzLvGD+DDZTlRoVgCSuzYuVg0MaacoN1HeheQnG5vZxROqETSVy6lySftw/zDnosl/tpH+4kG6xXfaFSJYT2GO8VQE00OASiI7BdK4RwTbD/2VKHHxFgDlcooJb+JHb3uIDhHLz/5NUNmpVpo3Pu+wnSzb77lPdEDaqgG6HZevR8lm8PZrrb1hRMUMAJv/zYdw6D7KZ6wHEYfUA2HZM3Cr+wv3eYEfxsXSSvr46lj648e30zwhUMs//JBWG+T5AdQDRJCupeOweHOSex3Hsfu1hkOt726lrQYVDEhKWlpejpV+wPaZ2WiGwlti4+XqauhbulPkUifoUhO4SB58OJZ+f3OcNwvspH98u5nGyN/+wycz6T1AWmf3pc5ecR3d01xfCWR0TRuiK/rWGYPhYwLiBSH9lu1wHpZxKL/inibCLz5+QlhWA7WBXQPGpk4qB1St6MCRaljsf3rwWfrznSupyb3+9WiNF07jOMdKbRNPx0gBIRE3cEL1+Db1dXx1gv5P3VpZt886oHvdgg6SBAC1grWmjxHnRvTIVDRCCjzIBc8DoMZoSDH1fsWmkMj4ewuA2geWsdNgG5DIRdtuGMVqUOQCDPUi0xVVdhXPsTUlt43BgA9ByMVh3fBD/GMMYaDAxiPzygYBaNrT7yGJz5HdzyqFV8UkSGStbvdl44XHGBIaIWUMgx/hbhbA3kGcbRB+3yD/Vov3q8VVEovwvhNFs9EkcEDwoT/JSbPvLE/uPkDY7BDy5CJCpG9jQDhh+6xUt+vkPAoxn9vF5rPpFtES1O1hlS4rmOxhaX/9qJSWNwhwaLYIqU/p2Vo7/fVvm9SG6aSV7TY7J+WwjjvsLXcq2YjQmpYjCUQnS9EcVifiT706diAwepw7CS/Bj1kIu4zBZ2GS1VdwG8nP+9OLjWb6Yv1V+ubfj9PKHtUmNNLCf2i1Vl46SBRQn8n9zLX7yUctRDE672iNsH9UG8dzzD767OxMen9qKj367jvmi60zFoaSRq5lOqw1eHxhjqqS9Az1TICd4iaKXuICioMxBtNiHn0O5zOYEHOcLV+egUNcdpgDmWRf7RcUduk5XBGuStEvMbTQ/KgzxNW252J/9iYOVsIG4HjYuCkT6CSr1wWHpG3koNLWfqKwDw+WQcvf7JtDsamYVR/RIf0KHcmw9HDCanFx/Ri+OORQ7AT0sSh8+48GjXF+DWrDWIev99DyfreDyfPZODQw3jwwYwMAgwDIujGxqBBpJ1a9B/zmoEA3DJDX1MojktmZYYY1HH5ysOrz8dO+PceMn/5jev0zX/yH8hFcKyp16buDO11Fhz1qbMMpifoRHBhNxGYghks4mWdJP6jDOQnrZ7zqg/Z8zABHSWZ3209jQyv31u1bUbHr4cOHoZfKJIyDlIYangaC7OhV4JCeXicIew9p7EIa4Bo9Dso5Rh2YkLYuMBmMhws/mJc/10aH3upNLhADYCDFYCSKnfIlgJn1veguOrO9YPWjjijn9GfbBTehT3U6uZ/gFlwquNEhQ/XB5US2dy9Yh7QP5CrRMx/g1viBo0bQJsQp8zlikuNNjfSrP+5QY4nreg85/bsdeTpi3D0AdEr7We0CRXDwH04NRIze4MN0R+3kDs9uNfwy4rDcSywvisPvxc/FGccoVKL7+BIQZOzOodxpCGl0QKk8bdGLGBVMTKgqAq/D82f/MT3QtRzRdga4OufxkhkXyil9neOgFRIhAhqgm/eTloUkcL61hB2TFrrjcG56D6/5fwCIW+z8zsLYCGvXrTkentXvniJ87gyA3tTruwFXgFAA+vEouGls53A7XwXv5Pj2bft2RclF88PhaEZ3ikmC61o4SC5ijq37re7tVtkBOGYrze20PjgeGkA4XFWcoyhS7+zwu32/6xEz8va0hBhqMw9BdJ47ordxe6gaBEeETC6YuJPAe/dbxtCKW+bvXs/H/ugr/LDcO3x+4QHgEubH+bcEibkWvqDaKlucjDmX8yhX8oZAlmpKEmkpRwq6wa383euk0wlqj7GQxZFzRtxfBpgAMNxe58zlz5nfom+//w+gt7PCBlOWmAAAAABJRU5ErkJggg==This will eventually be a plane physics engine. But in the meantime this is a small time project that I made while bored.yv,xv§_objectsMenu0.011Error45StageStageStageStagexvyvThis can be a bit buggy but does work most of the time. I recommend using a “if on edge bounce” block in a forever loop for this to work better.-0.1414This is a block for another custom blockMakes a simple but buggy gravity physics engineAirborne,Y velocity§_clonablesMenu1§_collidablesMenuAll true at once§_inputSlotsMenu
All true at once
True in orderTrue in ordertrueWIPTick,FpsFps1000TickMeasures how many steps an object is moving. The first answer will always be 0Last X,Last Y,Last time A§_clonablesMenuTells how far one object is to another§_objectsMenu§_objectsMenufalseSelf explanatory errortrueCatch errors.
Runs the first script. If it succeeds, nothing else happens.
But if it has an error (something that would otherwise result
in a red halo around the block), then the second script is run,
with the text of the error message that would have been shown in the variable ERROR.pt:tenta executar _ e, em caso de erro _ , executa _
ca:prova de forma segura _ i si _ _
pl:bezpiecznie spróbuj _ a jeśli _ _
Throw an error.
Makes a red halo appear around the script that runs it,
with the input text shown in a speech balloon next to
the script, just like any Snap! error.
This is useful to put in the second script of SAFELY TRY
after some other instructions to undo the partial work of
the first script.pt:lança o erro _
pl:błąd _
Catch errors in a reporter.
Evaluates its first input. If that expression successfully reports a value, this block reports that value. If the expression causes a Snap! error,
then the final input slot is evaluated with the text of what would have
been the error message in variable ERROR. SAFELY TRY then reports the value of that final expression.
Sometimes you'll want to throw an error in the final expression. You
can put an ERROR block inside a CALL block to do that.ca:prova de forma segura reportant _ i si _ reportant _
pl:bezpiecznie spróbuj zgłosić _ a jeśli _ zgłoś _
errSelf explanatory true§_objectsMenuThis rotates the costume, NOT THE SPRITE this don’t work with turtle sprites50100Thanks to @askofep1 for help with this block§_messagesMenumessagedataCenters a costume§_objectsMenu1de:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
pl:przechwyć _ _
contde:wirf _
ca:llança _
es:lanzar _
fr:lance _
pt:lança _
pl:wyrzuć _
catchtagde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
pl:przechwyć _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
pt:lança _ _
pl:wyrzuć _ _
catchtagThis is a breakpoint block, to be used in debugging.
The Boolean input specifies the condition under which
the program should pause. (Use True for an unconditional breakpoint.) The intent is that the script should have
SHOW VARIABLE blocks for the process's local variables.
After the pause, this block automatically hides all temporary variables.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
pt:se _ , então _ e faz pausa em tudo $pause-1-255-220-0
pl:jeżeli _ wykonaj _ i pauzuj wszystko $pause-1-255-220-0
This block does nothing.
Use it when you are calling a reporter
for its side effect and don't care about
its return value.de:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
pt:ignora _
pl:ignoruj _
Call f(f(f(...(f(x))))) n times where the three input slots are n, f, and x from left to right. The # variable can be used inside f to represent how many times f has been called.pt:o resultado de _ invocações em cascata de _ com argumento inicial _ _
ca:en cascada _ vegades _ _ _
pl:kaskada _ razy _ _ _
Call f(f(f(...(f(x))))) until condition is true, where the three input slots are condition, f, and x from left to right. The # variable can be used inside f or condition to indicate how many times f has been called.pt:o resultado da invocação em cascata até que _ de _ com argumento inicial _ _
ca:en cascada fins _ _ _ _
pl:kaskada aż _ _ _ _
Returns the function x↦f(g(x)) where f and g are the two inputs.pt:a composição de _ com _
ca:composa _ _
pl:skomponuj _ _
Like the built-in REPEAT UNTIL block, except that the ending condition is not tested until the script has been run the first time. So the script is run at least once.pt:repete _ até que _ $loop-0.7
ca:repeteix _ fins _
pl:powtarzaj _ aż _
Run the script repeatedly, as long as the given condition is true. Runs the script at least once before testing the condition.pt:repete _ enquanto _ $loop-0.7
ca:repeteix _ mentre _
pl:powtarzaj _ gdy _
Runs the script repeatedly, as long as the condition is true. Tests the condition before the first time the script is run. Like the built in REPEAT UNTIL except that in this block the condition must be true, not false.pt:enquanto _ , repete _ $loop-0.7
pl:powtarzaj gdy _ _
Runs the script the specified number of times, like the built-in REPEAT block, but this one provides the # variable that can be used inside the script. Try
REPEAT (200)
MOVE (#) STEPS
RIGHT 92
with the pen down.pt:repete _ vezes _ _ $loop-0.7
ca:repeteix _ _ _
pl:powtórz _ _ _
The primitive FOR block uses an implicit step of ±1 depending on which of the starting and ending values is larger. This version allows you to provide an explicit step value. If the sign of the step input is incompatible with the ordering of the starting and ending values, the script will not be run at all.pt:para _ de _ com passo _ a _ _ $loop-0.7
ca:per _ = _ incrementant _ fins _ _
pl:dla _ = _ co _ do _ _
1110Provides LOOP as a function of one input that runs
the body of the LET with A set to the function input,
so the body can run itself recursively.
See COPY block in Variables for an example of use.pt:tendo _ o valor inicial _ , executa _ definido como _
ca:fes que _ sigui _ al _ _
pl:ustaw _ na _ w _ _
new valuede:führe _ mit Continuation aus
de:rufe _ mit Continuation auf
Self explanatory Sprite§_objectsMenuSelf explanatory Self explanatory Lists all the similar factors up the the GCF of the inputted numbers12
18
24falseFinds the greatest common factor of the inputted numbers12
18
24a333.33333Tenth§_inputSlotsMenu
Millions
Hundred thousands
Ten thousands
Thousands
Hundreds
Tens
Ones
Tenth
Hundredth
Thousandth
Ten thousandth
Hundred thousandth
MillionthHundred thousandsTen thousandsThousandsHundredsTensOnesTenthHundredthThousandthTen thousandthHundred thousandthMillionthRounds numbers to the nearest inputBCD-1Ciphers letters along the alphabet in an offsetABC-1Deciphers letters along the alphabetBlock design is by @redgeographysnap
It just says tally marks541196725Square hollow§_inputSlotsMenu
Square hollow
Square filled
Hollow cube
Circle hollow
Circle filled
Triangle 1
Triangle 2
Triangle 3
Pyramid
Angle 1
Angle 2
Angle 3
My self001590§_directionDialMenuSquare filledCircle hollowCircle filledNumb declineNumb decline100Triangle 1Triangle 2Triangle 3Angle 1My selfDraws an object along the XY graphCreates a list with the selected inputsThis is a commentvectorvectorca:reinicia
ca:torna a casa
ca:mou-te _ passos
1ca:vés a _
bb_goto(x, y, z)ca:fixa la coordenada _ a _
xx
y
z3ca:augmenta la coordenada _ en _
xx
y
z2ca:mou-te en la _ pròpia _ passos
yx
y
z2ca:posició _
xx
y
zca:gira sobre _ propi en _ graus
zx
y
z15ca:fixa l'angle _ propi a _
zx
y
z45ca:apunta cap a _
bb_pointto(x, y, z)ca:angle _
zx
y
zca:comença a extrudir amb _ de base
$_circlecircle=$_circle
triangle=$_triangle
square=$_square
semicircle=$_semicircle
line=$_line
point=$_point
sprite positions=$_sprite positionsbb_startextruding()ca:deixa d'extrudir
ca:enregistra les posicions de la tortuga _
ca:punts de la base
ca:fixa el desplaçament de la base a _
ca:fixa l'escala de _ a _
$_shapeshape=$_shape
movement=$_movement1ca:augmenta l'escala de _ en _
$_shapeshape=$_shape
movement=$_movement0.5ca:escala de _
$_shapeshape=$_shape
movement=$_movementca:enregistra posició actual
ca:torna a la posició enregistrada
var_get(name)bb_stackca:vista de l'escarbat
1de:Kostüm aus Text _ Größe _
pt:um traje com o texto _ de tamanho _
ca:vestit amb el text _ i mida _
A72xydircstpen state90trailsStage0Stage0costumeobj_name(obj, name)pl:kostium _ z tłem RGBA _ rozmiar tła _
§_costumesMenu2002Use this block to make "clickable" buttons:§_messagesMenu§_messagesMenudata:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAAAXNSR0IArs4c6QAAAERlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAAB4KADAAQAAAABAAABaAAAAAAHwbojAAAL30lEQVR4Ae3QMQEAAADCoPVPbQwfiEBhwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGPgMDI3+AAEeFvcCAAAAAElFTkSuQmCC0.275-3.646942099448209e-24,-3.646942099448209e-240.99libraries/beetle/init.js