.elementor-116 .elementor-element.elementor-element-462a389{--display:flex;--padding-top:0px;--padding-bottom:0px;--padding-left:0px;--padding-right:0px;}/* Start custom CSS */<style>
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) 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) 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) 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FYJh+skatDE69PNkeZyrHvqAq3DC7XZpMjm4cX22qfE/uFlDjio3PF3KyF2XW879/P/F8a117ua28VoHahf2p8wKFChQYcBrnX6fqEbdtZhbE/2LEV3m4JLrzca15y4kTPA8itb2ECAhNFYMAYplsiwQu637fgvs+swEuxTcQCOOOGcjo153m2Kzv9criXiRrlZO+Fvs0CAhNFYMAYplsiwQm4QeRKw/FoEgiCCCWEcoYQRTgKJJJFMCqmkkU7WUYyo4zS4vDTPUA5qMXfdDsfZRoeMHbvzsPZvb3NVcQIOYOQIs1kr7iDKFrnZY1ji++XwQaZHLIWeZ0ksNNIksz742b6s9hWZHa4nAUxjm6mdks95m4RjIbXuOo9QueRBoxaOq2HJ0F/FQQaYAEiAFGm6yJAloJseeumjn4H6YI9fAaap5EGREiMZxZhgmjcyC9Xy9NWnJfoeo1cf6jJ6Su9nj3ozN6B+cpHv3DgM2fX7p5AP3fEoOvZ11/4JMIP883pVfwWk322BgSCCCWEcoYQRTgKJJJFcT8n1kFRIGkgnSygtqhhfeNu1JKsCuqyC3oTeZnk0FMOcr9HTRa50sBKIjYbVizFvh7eFJbse8tcpvnoRlUlnWBUl6TUsoWXiLsYS4Y22RBDBhDCOUMIIJ4FEkkgmhVTSSCfLn5MqffLK+S6fpAAUUsTUzovL+K6kkI80FbKltJQ3ygLlUtHbJjBxhExhgmqYw64/U1zHVkHh4rIvpRaNrKoucGy2AP86vtxKwiYWgL9ZbCnNs4sVoPfzpv/CXT3CFr3E+mzbwmf59CR/SoEHqfTaXiiLHQXyIxAZqcLNa8wy3sLp8Ye3XQeT399HdBY3uU4Pe9icOo5P6ycMe1tTnW0NXWFWHopdYHe25KfqtDW8c7OEdLlmRb/jHYlPd/m5qz1jQNOyUTfFri/jg3Lnj2dYca4KYMpKZqfc4AzRLI32reryZnqYD8wMVuHMZr3b4rnaZnewJpb7rNJhgSVylKlQpUadBk1GMDqmr8kqPDqmlifwwhsffPFDGQScP3MFEkQwIYwjlDDC0wgunzbjTYpYk+yO7JG9RCJJJJNCqqSBdLIkG/WTQWrl1UiLpfCb4U7ctFSSmJSBcqmEVIFqaqjtXdeHaqj3N+SKQ2uYq23yS+7En2DsCPiy8kOkeF92FBpstaVdoW+4zu88nwrqD30RBihQoUGHAe7XAToJq/8KgHgg5x/soJ/MunMGElEqoEqNOg2ajFCjzcHWvTOiU322wAtvfPDFD2XM6NMXLQgimBDGEUoY4Xp8D71jgxNAHPGSoJBEkEQyKaSSRvpmRqHeaURcZU2CnGm94GG0nPzigBQwCiliqhkFJd8CDdOUm4EI9dNGyg9X9OHr6sLVRfXovbwnT6Gl94rwfLTStVUH3OYSyl7kHcg61hjJCFBlFGMYUFIXbaGerVlljvcInanfym2EYXYv6ToOC2/aAly3uVodwLvHcxEFELEbn7kGRS44hkx7CwFwuyzpJyw7rSSnjmrAgdZCwRgUqNCgwwBXOno3u+gNLmfkDa7n2cpN3HMVkGlGlFQ2i7NEUvpazpjGZml6Ce/6/ItTHcubpdLSnFDrWqLW1o1yGnVMNru+o870WkUA84xlFmMSPapXpMM3hbDJu6XKeXeDRmOan9W2OKwvfLf/td7Isimixs0OidPZKWpd/aBypIhQR1kFLKggk8FCohjgKKvuypG/QQp8CohVvUabzeGbANVVQS2qwL7LaR2WoWJTttklsI79U+J00VCfKB3iENuEJWFWasgqSapcJFys+Xj/m5giYyxcSZKvioc9cgDc+CJIsSaN7uyCrm/Tsfs/o5VIkSKNWQGVuhSan9FA1HTabyrvzKGq4FvtDCRA+e4XLQHnbaK6lR9+MexnZHh30ldkRPzplws8o8LIN6GDk24nRRN81J0MUi59UE4/4FB+EYSwZu+/yfh8wPXI7MxkcDyyMDUP5GFZKUBQfRQfA9EVqywG5unxNAXPiD6tllDjrgIuw1DwYhopMcPh1WOrhYlRA6NSCROhGkWEGFXoUUFQlgpsyuUwQsyWihegaDOd6zno5gnZJvMzh0YwjaZB5RuE6OikzMDJIOttgZ4VQ/cBwOuKgYiklht0IYuoPqUGTJkZWG9ydaOmP7mbGHZRpTXSTPqli1fRVHxZoAAyuH6TnZKs68W6XAegMbAIKhYzmYhpQC6JIJ+tnvnQBtjoWzMfaPppabtJItELeYsgsVS5tMQmEjAYYosuZvoCORefLsTyuDxGefks+TIUvVZbI13CqDGxNC/EFbuEdotF10qpq9KLa4wyCmSCGPJjlFdEaDa7DSwzloFmsfkMphLPmpkDdhYKiZTCB4RG7oLDUmpxqUOUJFEqhbgiHJFncegKKsgclZNMZmCx+QFIlEsV4UtHvBw1ocxahvL2VyqrPcEQhUSqro4wrjcXYwoTKq2WVewpmVW4NwILQS4QV2P2b2EMxAC4uIyThy9e/fGnJCM0J4zG0GHrcvSxPxoiJin95jNZbA6XxxcIRWKJVCZXKFVqjVanN9QYa01m2GZ3uNwefzgSSzY0Ns/u7bMbikq+g+SCXR5MMxrQC2sKwCr+iWVvHNPAxLfAMduu9Ojh7E+5Bk7TXS1HnfqfAN6GMlQEdB0A3dpIgCIKBMEhQIAKGIQdfyxLgwBgNAJfMRqZ1BdA+uwJ3R4Y5FcwXmNyraqVWZL2tCfAgXI7mePQ/ROTOsuClumBKg2QN2btz0agEtFlx02dXf4hSSZIlHdTXaxH1deQOYtYpcgnjAkxISGkhBPhTgQQu0oSCVci+OdBAsGeu1Z7DLoieqwHKM3CS3iEISF6ZUfCrewSwHpTTwflBPfv/2uIUUKf9/83CPz37GdLAXx26lDJ0OLP6oaChsSDGz458clhCDATsNWArwDk6rQIAbnUXsrFafbPpuutdsRGVzxy3FHb7dDqphabLddmhZW07rpnrWMQJhZdevgEhAyImBIzQ5AgydmwZcfeWAouXLnbbZM9HtjmBQ/+AgQJEWG8SCqT/SdGrDgJMmTJliNPvmIlNEpV2OmCXe5bao1LrrnsuotOeu6UOgf0OO2ts7ot0uylh05Y752F6h003zwLrEOHocLRMOhg49E3CpcJQ0aMcZiTGs2CzBi3WXLmwJETN9Zy+fDkxY83X0qBwo0TKoxalImiBYuXIlGSNMnuSDVVgUJFymQqZyXdiPd6PbFfl7326dQBAdIwCB8VvhBQszrU5QjUAFkfKvyKJsiCNCZ15KzQ/0mZ/D/5acsXQACpT0BwF2CXA90EABTWA3ndaiAOmELKqlNfCqvVTMQEdde4iCS1dRmmXvTGgNqEgagOY22f1aBR+0otYl1TospNlKpqlkxKamCqesV1d42bIEVqNfWtGiVXM/dFBgU1l0ehKRsfFt6ECfDw+kQ23UVdbcgSjkOIGxYcJXB9fijLlCyrHM8ixpPRcErrA55jhim/EzgNZYo4Uj3WKpHKaBRFSZTEUZk2M1nI7JS4icmWJxNLW6Qqw5pqMOV7LJI5V9E/Z7tpIg0CJCSIGjhTtkux1IuP0r20H4VEZ+jApjke0zTPD54QRXvfexPLiztBHatYVmR4GnFUZZmgdp0YFCfyXloo4cz+QKf+AQkPMgI3TGmU2SOmq2VR7IDvfyWSi7HABMbEiQmoZaJDovAaH+L+89Eo0dI73YBcd/793rqtZTrfxVFiN5nCu3ndnxl0v/J0w+4jnXjPpaFuiDlFOclsdv9wpEeoHfMA4zMMLVG2Gyarac9s6G4AuhyzvkzEOhFKDqvwY2sZLzhRKgwl7vZ1pYJGIVqUTFasTrsMe8iR0ZQnLB1QjUhtWmcgTKA3wJj0ux8myhM2R7E6U1XlN6KmdRRN/aOdpBjODU5drTtNVc+iM8gjvlvshrlktI8obW6m/5JGMTrrtzOQ9uWW/jDl9NPPWXJWZPYfxnWukjoXKpWNp51HuL4mxGTt8mp/h56ZCqPEvN0dQ4l7RMbcNNcROVyl7C2P5axcuEOiIWJUsjTWo+E4a9yYxuhbci1rdSTUGNF6roLu44WuAg9IzbsLss2jEyV+r8eDk624SetEapWk5PYatsz7zu3XRitCkx+vLnYoVtdkIct6XDxSfxcRVPI2lVvH76U2oHU2UU08Yi04HpjZXDrFt8FldX98/S2kHJacC/523IyajHY6VEwSs4R6xcjdz4g1USOq7uf1K03NTZ7YhwnfqH3iho6hNKug+DoFRQo/X03OWyb0/OJCgUANVA513HdAv8uMDfxLpvb/qZen2BsBUj0ky2B+Y00p1RVClqWK+YYYcPKFIpEmTaNb+ShGLbGiUgkm7SYpzXXiQD4tU1xHPK4o6Wdxd3ZAwh5bBibFpagFpB7zM1VE+DKL2rc1yXbWjHWKVkNO2W5/Wtr8eCEMiHjpvkNKdNLcJFGFHFmfQe+dtokNnotCa4qa1+hVb+t/UhpcQnmYIAXSi+UkveOR+Nn0XWJ9SAHyN0hGAZepHT0JUKszVbOKXSOl6z6d3u6EFMk1Tq112+ZL+9b23Q4M3RdtkMacfDPk9dsKa+dYfe9kS5CnTYjZbNIUCzZp8iVTH7iCnq/4HvE71u3ShJqsGebTMz7X/UB8QFbS+API9dhUp51CKGHF0+amatkDlxQ13cr9IZTT3F79MNf/MTmriElMZas2ZZJTlW8GQ77UCxLLBHYGfM0dM9EmJrWPb5lDNw4Vk9Y2ofEDRvg5YeUC8pZcS/9AyMlia+vTzti0vR7JD+oJpbeBlgkOaQNV1f69/aQ36I1kNUB+nfoqgyZaGlhI/jRWgghJxjSMFLn3JOd6gqjeymsHzIk8unb9RBTOwaH5oIRv9bjs7ecp2aE5WBgima3LiUhMCrDEdJigd7hr0bxZ+ez40sXkZ8vraxcFOLzDPSihUYMxwS2fRuRVhMDsQBTojnc97NwpguZF5nYu/n5tbRIioC6Vu2iAtUu1uiwcUMaGqYYmZqAKIxwWqtQS3SExACaLRatVYpN5lEiEW71mZFTNizTKjWONiIarBGEyTgr27xM/s9Fm1yf73c7Sfn1IaST20LGnRAZ4KbNckmZAhKpm+Pp/2axBWszbZpcI/QxzAqNBG/ZQ4ZB5dWyViaO0hrRVBhR+6UncR6t4Im2SUUxPlNSR/RCweLJfaorVXcIhUGw7vK/BmjSnxzZHU/VDDHT0oQoo+D665pgboNcfyvE/3lPDxf+h5ajdZIo2kp3j4TS54iJ9RbTg/ShH0g1fsFIUUX9MJHsq4sCKoEsyDd83r/M+iO1H7BHvvHUwB83cxdYOwvB1YUAVIDFsJUEPbxOYqPiRsfUMf4ROajFoU6f/MAugxDkWfSYsoPxYi2+cRYmlFNy6YU+RO+1kJkXM5rboYVk/ldY3YblNpozAkLAqA2Fn4kmty2HLp2jWQHWY0/RE90GXJEU5TY5rs60pReUto5R5FYM0Q+LB6/a2BBoM7xsgkSDGC6mOPUlN3mpH0wbHluL7aPITny+iFoZBld9Lv9uKlBGWKlp0Isn6AHvOdeD866I7GuhrUV1XK6+y2/RHa+LebxCtWyf/u2RpX0jMMzzaF+WLcl2PTgD1ZCLf1uBiV1sLei66ecnm1oIakZ9u7uKvibp9Wrvx4vjcTg1HDqDdEOmkvCFRgkJKKQhPK/aV6lK0W/earuLu6jOTdXn5qQRmt2lm6itYaTKPuaSiCGQv4PZizLMGt+r4kX7iOjpd+Q7Q1P4xn22QiG2qbxPRLQRqTdF41UZT16hzfWggrWcnpAFeOLBc1MXCrURXUqshnUkirt/AGDgvjgEAJnqYV0CoLVEEDdUdtvzno8hHfi+YQVu9Eib5FUnFpGDtzHhIq2Dl9ZhkN6XMaokxUXxmpN2WREYEndwkbrnjCm2C5Qja58v5TNu9rfPnqBQ9EUBZVAYseW30TWg4Fsm+3vewQT5Yq5QSJGd2pcAMWvQ9q590uFXvX00O77Wei/oABbYMJ7w7af1xY485j+QaOVvJuH5KSZyUnaaOM3w2at6wQ45I7mJzudqYjdlbOl6L9nylJSjdk99drCIhL5JU/6PJtwvilWcwGzJ1JjBaN8WSNPPkS0C8pftjvzUhtpROI/1XoYPte5ikFVekywncSeQaGKHVbu17UniDV1RKl61fSjFbmru5wnKSgusWUKy6cSXujlctGuzct0WasUKNv93Kz7shlh/R29ttFnFJtPxVhtSmO9h9CDQycLBQJMIcmwH7jk3/vHoQJ7yOtecjgs5/sfTvwuvd5qHfoI11vIU8UMH8EOopOgEhrC+f5HypIo/DWaAQRCFD5FDJ1vBW/qGI7tCD8a/mURaZgIk8oAnhwgSfUo538RcUvUqO6JW4uCBAV3eHfD65I6gg2p6QwwlYWt8g1ZY7S/QkUIirm52sIS81whpqtiZ8KQ1nttuM6EQo2wKJ9M0Sj9xirHBc4ooHC53SGqTGw+xP1gIT+WL9HLWwJwIlhAs6a+LOkLnWVNRgKTCh/VG9EZimyyyyrmmpcqMl+hQk9bHPSyZDk/wvw8BE6sKfle0O7R4G/7ev3swbTqLrWEuaLXFfo5w/J0TNEFSl1sfE8kNFAblQj/H/KhT+WR42ameHDm1xFjX+A+uAiRxoPto8AA0MHx0GdqgPAu1h9rk1mzkD/fMclJQXctzMsGx6afrRzumPencNK5qog85zR8LACPcv2Rs3b9rc++JqQHlXe83j3pskd5X/FoHYDLnu8vigFI9qM/EXhhQhaG5rTSTSYoQGQsogtKDFHE6JTqKtog4R2nxcJLqONn/80mu9CR51I+gPnx9C3e+bH6UbEQR3XZchvjD2cfFj4cf4n4Z7oupRrTFQXG8tMqL9UWAiP3cnlNwOp1nYlJRb64a+UMoWLJTrS5M6lYy/EzILbDEdN+3UEZKGIFXdfs/mgL+JB5pNUfDy5HPwdwJp0QwOfa3nbcC1KmyPv/PiwTdf3yW+6y3+VzwTORlOQ/Jmv6TC96ph7oM96eHUkkMC6RvTSmetXw7+xR2NBkk6z95BhGYFfxYI3xNrZNbw+KK57IixrqstJXXh88gBWwuBW279DIK+FbI3vbl60Rl7r69GlkiIwI7Ta2LLY6OnARqf0mRnLIsTslRlafyaRHqsNK6kIoQ4Y1mjHXzFikKZ5bGh2OxiBQT2o2CoOWHPWkM99pirEcWEIv3JgSQo3bbvyRXpxZQ+Snpq7UuPpFdKB6TgIPX54vTw2NBY5rliKuBM+G78Sjgp+2vf3xPA+oJq9cVqNdN9PcI+xmcuHSNUTb5KoKTzchKj9amEs6kORWJ4sO2SkYotawsaMC8l1Hs3HCzjEJjbwSsFDtinU7HsdsG3/lle8WwO7o0D5AwIJVtCys/TaG/2PMdpdxq1z9nIcxxly+lLmYSde8gEBK+nhWGhWrznZGTuLF9xBPfR1/Tmy+OGKmLVixPvo7LcCi5xG4Mw/RYN5DPMyrAQAiFV7CBbFCA4ClzE9UZc1mgNRMmDM+zQetaSreRKy/l553vBCYbTpcXPto+6Cd0utcNk4xFCNdVtTM7urXjiG6tlr3teYpFW91AkbTw9MWoTgIMFbmdmpN9a2V8DGyh/VpciEMJmfpYTRROLhs9RZ7EJDvkkD2V+FXyL10a03Dku2I1bZHVamb9dXGJcpxay1HUEp4vgAPmBrWBAiJ7HUKdwflJjaXfteg+jN1BjiVFuvCAgqTVq0pdKHBVXEjbZUI1loJthcyvJ3d5VfkqXR2F12wyV/UHJzfnMLz/C4cfWUphzqpLujh2tw0pW/2oScd8OOUjdtwftVDXGV6eedZ0ZWBEppKGqpalg6j642aWKVaG51LfeHaz6cvAvDPFzvS5DwZ6m/LwU3ZnEs1aIDUlyWXH+ilYUPMNit0iFljq6pdvgVlQ3GGB2vUes0Tm1jCadgVrvkNX4qjYfCVCppqNbKqseuxqkkfzHnth7bXzp0L8k+/EfQkBHIqwvnVxhNXyLfBJ5jVZOrhilHQVGJWLNbO9H+rGfQ8BcXHp90m8un4Hb8sIsI+KyeZy5eWR/tv/ivQX6IeTG7j+Lxq+tbEEQrtR9CZghBAJqZYfmPTuNTZfsv+Wq5pHPH5B+0v4u9Cyu6g9VPop2n7prPxM+IKL7ws6GmJx5YTupx8FJhtmtoLZY9lsO4su+ZrOrR+SvdKYAbaWH/hrDvYpG2+ZmvEb3bAUtzX8V/uDduX2meY1x5c6WU5stz1ooTU5FLf1q2dYn/SaaxaKt6gnK7rLEM4NH6dRdXC7CqXOH/QoLG315TJSkTSTpz9JTEzTqREryyYlPUUvLV5PaSiU/sYgOVCcAIma3eP7nrrXqaP8x7/kKwf+FEr4w9+tmoD5xF6masS1pNZr0WSZAOHGD+Rllf4psBDxbiCb/Av5fQaBTIpFf7j/KL1AtfPU2hjAmfQocLHDGUzNcKeLCBJtylExIrmqPndukEAesdJHLm2r2Eo3/nDWJ1/Hor/7tarJ6F7FlXIuTDi7jdXzmU/tZ0KMxqI61GAOzlBRYTiN9xO5COk28xpC8pqUx0+WUxQt3jVKCCh2xbmkdDRxhiNo2QENGp3EKmWpyNs2tbqShLJuDcixYXVAdtffCV2nYP42IFdEdcLDBigFL1nHUeXROjwUMNVpShinfVMS3z7Av1WKpD2z3bweFjZJl5d2x1z2vp1dSR6u76z/0fwiEzRHuaXl54aW5877J+l/wvJBd07bmx9BKFaCHvDj1aAirf+n158ORuD32fmxscKvckh+tmftj91+N0rCYAyOVwaovXo9CDpUfKxUPDzDo0ZtC7u+SKqLb/1xxsF1UeoG10Mukem30eO9rytL3fwptYaBoMp70Wytyf8X9udv72/snheccjY1SGoVBnf/BDeabhRulvKpRB8mrYv9Eqpj9ECGV43bWw5rnKuO1ooT52zkgXEkeGHj229NkQh045mOAhaSodlXc2pGKOrojq9TUqFWs89NGErQsPTZCoz7WSc/Suh4HuXhgyggh9iYnP5MyOBxJAz/jbHJASLLGluQgZTZ2C7fUluZyh0pt3BZ2mW0deOYRMFW3PSecd+jGczfCEOCHHzJ39OBtIq1JxNmJhrkkhOzmzEnoXO0tve1KvJ8Lz5smgXrwHW5NygRNZlImv5BGednG5s4vhYVmcWiSXpiXm4eiNOIsGpZFo2G68PmF1BySRdCQklnhpEzQaHHXJoMeNimicXEzST2oePhN//Gry35uaGk4d0+zqh/8zHDHNay0G2EV27I8YaQwodEU+1J8xtmphpebkH9mXlHu41g9RiriqC3PCAN+AQCooKSDN+gpDzJXJPw+U0IkTpbl0il5hiYVZdssb83wH88LYK+ONsfp5i5KOlwp1iAG5klR4ZC4yrRj6RAfYx8ETVtOnYvZlA/+Cj9wd1LHybj4l563Ni2WJWAztykmt1gicm6T2SaNr22yPv8d38XJJHSuGHd7GQxxMNZdbPZUuZULoeF9nE0Y7uVqOdMukbDt8urLTvALbkqJRXXoXBqWq2/WUOdX+AzDd58Xwl49dY7Dw12YsrvUmOsiDybAXBkP+HYyX351EELbBpnMNRgrv8Wt4DGcAmqsf2HAMy92NjDtD1i4nwLfi8bhsSvCG1jqixTOVUmwTEhxmPkqi9tRKxd7sJH4tANc2CK//hUPE8xn32dQHqfRV9CJVhzxCIM8QWG8wcgPYmCfzVLrqjWI5kztf1dl8VnAnx3Is4Z36Aaa0ChEnt7XNAFk5cgioG0q3f8tTTevd0B1GRjWz83ORWqzN/CKqNeeoOrm9vWr9tjuLcqG9Z3UrygE2gHRZxlLsswlzmd7s71Atq96mJPiyMGeG/DhL5aQQklJm15SKuF9xypVizqwgRA61NHZ0JLOtMMyJN7ga+v4oheJL5fYv4QYSjH8S9tohE8n2N7V2JxB2myyzC7O9GNwx76KZpGfZLImySw2eS+TtZcMJk7eCvQuEBLgfkPxmnDJmgEDHl4gCvaY2aYloFrGEIQ0pa1wOMCegSiqRxkaP6wsazWHvHwGAq1ujlUM1LesAxTdSaip9BUI/P4CjecJJH69gV7A/RG+Er66AoHXA2AsnAqD4jMjLi2/A7s8b4vbk7cZO9LTXTqdi872oZfm7vAHqtgeiO2lA/IZl3TYtxMtyUid+sWLRvI2eWDFHaEFs06anCU8VBDeoFk1gvfgV4yq18OoIM9ZYgoS3ngDw9/jNZ05bfI+DGHeeJ0ABCd39DoDPczcvsPs4WffIATX6V6vHl3x3JFVmg104H3o+kXNwPwBDSAcaq/svAHtpeuAosTL8H5Bso1zvVOn6gdSgnutS6saWPDOHRAkwCre5A3lh2ssvCg8+MGqJ/oFT7jB6tH6wfpFY8+6aypv3KBnLPCT7JNG+2SOnb9oftIQN8YZ5i8c//iGClQ4/NHG+T2MFPxvXNA9I/mgrK/buCczbv1kcMVeU0fDKlO8l7cWeKyM+aZUUq4mv7azuPeNlyusUnpMpmXMNbUkdMrihQ0LNge0vVjaJIae4NmrGpRltAFrMiPzBJbXNMyVPdFlp2S1waCynaCjPPnNXay/L412GDpe3Fp9t+14Ac9hFfTZKN//Dl7gmoCYF1b5bf3FFTwXOSBQ84N+oUrmY4qsEpW01R5BD7279+Yzggy3Ks70QUd24HvzCyinz8LoxxNCQ4qj5Ay/s4wcEeIOnGcNu1gwzsemSCmsM0wxtR58ktjhbvK4FAJzhKY9vdaf9CfBKYbcxufbd4SIHRkhgeIjUxfzi+d6KosUcokleMIoEDzjpcnlcIyBx++o9hSFSEZTSraBBSPRSpa9RLzxxy1TAk+TV+or+IkAZnotQN0hYqj7wPNFyHZ365DoIZ9P9GArShQZQg8ywofu+B3u9JjBzegtS6kRHxkJaf0OL58cNZHSJN7hD4nUPw4qHlHe+YVE/XwjjZ4mGCkJr8ha37jKFEf4404Xf0ywVbWNjaO1GG/M5eSNe46awMGSzEOulkHhNq9PuBWiRDMH/1ZfRzNFVrfcGElzH7DbqysyZ3lNXd1IjSqHB0p6xFibwe4xeJjVsFx+sbXl97bYTeMtHKN2nUYgFmtArH/a0yzvlsPTtZgUmtFQhmaXheHvYN9CcG1I4eXyvCoVz02HQunh8t09y/d62nLyTwmEJ/n8k0LBKUDxK7vTprpDdlLZicSJptMfzMC29Z3Od0Dtol2JXXHezsRO8FLAvfCZijbTKFzZNtXlqnaYYD4h+A2HXusEyiPfBwPrKG4+v2rrOtf3gcC0iwJB1KYpFnEIJFFju/dJ6ubNpExvLJF4RAK/RAKxPZFEjG9B8Fu4vTunY0V+97fdOWxnlvGSba3RXJgJT3w7iffIrnnb5xMT95iN0+d9XmmlhxUafsQjmeX4VeaU+HqDvlNfoyf+OrM7CGFags6aTtMMuepXmmdxEM6dnKuYwhpChkZD4WxGGBbplBdIfkVRVU6IumCCTN4+jN47GBos/yoMpufVOeosdfbA5NfpxWNDY8gTX/vtp+KbpnkJddZ7T0yuD6+fDE1uCW+ZBMKysCAMukviKYvHk28WpEyAfV+pCn98sC/eF6tjCFDdCivC8pemA7o7yKGOQ21Z6g4E6O9k8a5lz8TzUwD4w+Ge8FU+kxuKqyb4SFWlY+LI5cc/LScIyFVopyl0eOUUwCn6fwyb3weMZ6PWrD6D7vjPiZ+B456fclrdBwD24HgbtuBZwNC9L2gsvSF4azjq7kqY6pwt8bizIeVMutqiIeL6TSQn383l6vlO0sb15ceirs6kKeVojSccjcdUytUae5U9y4muYkA72pftw9c0UK2vojT81N6PEe3HgDRV36K+K7R+cfz5nsTz4ZpBwyAAIy69X1+bd5vNucM06XsKiMkvKhQX5PILzVPkYiXxPxL5XyLpOzLpe+A9SN6frCrPwRmpV4VUwviiyvKf8DXUl/6FxGct71kAGMZ9pauoZBBLJj5UpyFa+Wkq5VMiUO0dyA6AkleYyjz1hxMlREYlVtk4GVVr5Yd4dNRKcJtnFteHZJ7q6OF2W03qtTNqfvyEciyOPc2YNYPmb9HiWlyPd367Inis99vK9OnOLoMyL2h4NdjyCntjru94gc13P7C1QICQAV+9sORAHvKtPRhv9wL7+b+HxVo+CwYUvZIa2gMH2et+GeQBNRxkr/tFDIeDS5IHwuEge9nvYdnngehzkL3uL6516EPxgOlVwEH2sp//e1gBw2dulhD/fg84yF73VxO+fANHnzYHm73NPvWXOEzqU8LngG7HQfay38PKzwP6OMhe96s0Dzjf6w0UMYzw93XhXydLcxcdqRdt4P/I/ovKh4u3c9j8v9etoe2YQRf4b/cs26rjGHpI7U8879cFoL6Ll6Wtus0k73b0YBP+27zzfxQJBoPnK7xpd9u5LUEEkM8AgI0gC+T9gTgctA/rBq4Jm3AYvAyx74Gcbg74ADk5okAfLolBoDZJf4drM/R3hD5NNBzkianGazmTRq89xffhVscChrhqz0VxK+MKCdhA3l7RqFsVm2sfstp1OvH2WPegW0Ox1qoiilsZibviBfiP6aSmINbJADrE2/deYackusePwj6n2SNfRbXKYV9S9VIUHFGj4vqQxCXZvVBUNx0JD+iyVoobsKXU4wgrg8dkO5oD4j7NMtNXW0sAU7DfwlIM4ZKuKhAMQFBySj05xc8y9RmWYfnTh8//p/8bEGFMguTInVKoKLnWuOaeDzEUnkhFK2YJkckyN6uzKTuzP8dyLg/zOt+Kqf1arQFVa4JmaIGury11o143li2yVFvVtrTz7XrTtr72pI0MmMs5jhO7WjfkGoc5w+Jh1bBx2N5GSJdvZRvTnOA9UclTI7JYsmmfzuqWHmhILzSizIBxZLU9jnrEa7zJt9zjQT/3+2W2uGtw7V23149ebnsP9a4+2Cf7Yt/s+z3cn3fRnm9oy7d1e/boPrWfHh333tNxNp32c/Vy/PkN3Q13zf0/puFEEm2sCWQge9KRQzmZC7mV4YxMMZsNZ9TTPKtn6eycs/NyPg59Wl4+8uM++Yu8uW/yad/wG3nZb8zG/KEU7dCHzbbQqOU2ppb/T0d3LMPlhnEzufMyyzLtmb2ZE5mPPKViAa8xuyt7lXeP94T3nk+ZFfAlfAe+Lz+ar+E3BIuCXcFnARDMVAYCM4GNQClIFtQLZuc25XblrgkeCp4KPgiBcBWhrzBMOFEYK0zxBRA45ipQCuqE/vnnhyYQnNEqAPH6YanrX1yxwIVOw+OMCzn4Kfz463IbCBy+CtA6YjzOuMj7TOv5Ix+AdAdrOUZHl5fHxVWxzYeGxuWn3OcH434fyC9dqNPZdV70W+RSTHOP8/uTIOUqfvm64s9OhtVs97vjvSB9FXtHi8ZgMw2PR9/k5BUpinsmOLWTpaC2mQBJaGMipnrzOviQUzsP1THPfu5d3IZLQNIet1QaiOnGJosVelWAiovycB/TpdZgG6OPvJoR1BqcZ0goJAWCIckjX4P/9nGrGPxLC2Kn8e5ERIhHtSR3bUINSs0KDG3nq62GrDLliPsb2AauHh1hp+1JCdEU6+414Mp///+M+W87jBccehjWcB1aiapGQyqffZdy47mXIRLT1SqOV1Bqmedp/efZ+uSm1h+HMyL88IAA/VdK41vH8bEiF9Zrvty6RM/eB3LEh1Dlmr4s4ZTjk+PmWASWdLaf10FNG2CSV0C9hcfz1tBLAlQ+qO85MYvY5ftkVqtKXZ8haiZRE0Im5Czne0hP5Bt3/Xq8lFvP/kSX1usXpFuZ+KVOw7jP6ryAZ963PzYvfSu7QIjnKyj63L1d9vk5tC55Z7ehPeJDwCwSiQYYGnr/Ms2KDGq+eDVPXR5aR/MUESIyFfiRf3Xkv9Bk/sNrzwceD+OEbzrYre+kIXSc4lVoPLoxn14goxAonsJAf6j6zzs1R2+BZAiTTwie70CbWzr3+imYAdiRv/mC9yx59cMlhL/2Cbe15zdxWkFXA0II2qMaL8EEIkyDYiooAr23sgShnI4PD3FjBpUKx0Shz1F48kSlyPjT2O7eNK4nfYw/ocXzsh0zgd2A6ogPEaa+9xed72B8WsD3VwCVhJGwLReXCGsXhVeM7lqpXqlkJT0A9fL+Lj30AcQuGKof+f8Zehzudntdf2K3CGzaT3kKbXTw8nJGrnhvfW/zhsmZxdMj90gTqkmnfkD0WWdW4KR9bpABVSzQvn9yEQbQINvx0Qo5sz35TR3bKzbHdHATrmBnOCfwakXv46zAMDZn385ulOpg9uecLcpEV1X9BxzIS+HqdrPtOdep+/nGQEyzPYnC0jgVOlzv83QTxmqTNzqZoNXwmvXJ9nHK8MamunihfeQe1uR+e+UjE3y47RcNRI4j3fs+UMFrWPW74Zqhg15VRUL+7mUTcoNJfmg8xh2PabY+LEnyxEHZWfMe8I0dlCSbYeTC2BjOkVgR5ETsKTSX9MMTY4EFg1b9vp8+jDvndhNdDm42FUQ7Kc8Im+gJgagQN+zlOuj89O+HRJHCAUZN6kdD32HGsd69m6O3vFMMJcc5tG09fOmvjpBXXrzU7exooOiz61Ae8SHAXBz9p3za+9PGEjTD2J0Lhqfwa/SW4R8Kv/zVV5UfOE34Wz6I/Si3882VLAZEpQHfeeKDzmuPzsnkBY4g1ILd4s8znTOvQGg5/O+MvZ//XSPLgLufko35xi/A5rSOhRor6ZdSBAgugLYnoXoPU1AHvwOHrRX0DC2yvDdOMlZegKrc0Wy1bCg1H2XLFdsnlTdHBicilm3cmKEhzOWFKEhcwFjvRl18EI5BRKSfYqrKIaN6WfQjFQ3UHznCjBeELchmn8H8zy8EL1nHpOmEU7PQG4WZx+MdnGn5RJHEQlG9Eblxnha8J4pNgHaouiRFka7JfaiY3UmrfSWbe7xijp538Xmo2HhZngNWZowXXXAGdXeD3Hgxsb+5bUuJp5bSM4WgHbeUH0gwuoUFuPTTwQPaUzsZNgwxJRnBMZrJGgP1ZYLeiNlAluRA0JUe+Wrn82taiw/vsWmb5bkstdqrNAorLKN6SK8D2DEhmHQxqECk96zazn5yMBe18vTiD3NepdfYSEU51LkhbpN2rDwlthJhe3JC+QKZLcmi5Sc2xwX6sENow0Z9F8SDbsvl3NLYO79+6wyJueXgP2X/lKWncEV+DWLR0q4mbMA9FL/wnG5FW6IY8xFLycP6kSUUOyziZi2Tr0rYiwnh/ut7ramVdLjoKmFckUU3ZiGt1eInPUcpAkP2cOEpHZnzMtOYdoxM7nWWsBjt9s2skuJZXtayPx+5qBMBkychaZZe8zHMTKc0sKOvBqQWbtu0KByZGWrY4S07mZ/8NR/pSFq/7k1pJZ/9+/zWL6iuTmud5RI0Cqiz85YvDsTqx7YULlGDVYnFK4PexeKG4ckvSWPBTJPOdNppWQyyvCr3b2W8suChU8O6/losKrboXt/xjS3VIZLdgdkRHwKtw34IhAiECgsl0i0Le15BYFpWkWeVChkM9OSSNbKjdX9Lwai/CQsMvJ07DjWG17YpXD9ZHirLJDI+IbqYeIApUnkN33P7MJcq89iEmYNsenhviHGS+TqWJVz302q9P7S1X1fn823Vnmw+NzCa57rBGpQ0o4gA0r7AHdTHiOI4SZVGcbGhYAdjC/FcjrFbZiSS4IjoCkYqc+QalqhJDtDFhceDQtJP3L5dyLqQBUskiGn6N323aedVvb1HVBIvLOPtgtNwqByQQXwIdcL+6E168IWqPI3tW2+8lVzqkmdmc5Wi+HAJa9/6SA6BrJU+slhEibyDCq+Zr8aFBplYvz8c1zjHc+S7VCfX7df44OsFfit5FShD643DnvDeyUE1EVCZBDQa39M3ysHn3cGioM3Dhy1X6+ySL9HAQiS18hU68s4MSohMS375p9v9+e5wOMF22O0XhF688Iv9PVRgFXo4n5MHw3iiPCakoiobV4+obkKjbdYkfMz6Tmp60TTKL/+gXa/mi8MjQRhLdUez0wG4L6+YKyd2IxO8J30C99MdjyeiaOnYsSdHE0xsV1BGoLKjyWJmLSawlVIh4Hy6bc5xFD+3/zOHcQfTxXqovj3R8XHj/8MpYc/uwvaIDxF47xP8FRk+reX7S3MSMMJO+/gopcA8cp2IUknIcg09yIFafpGq9IBebeVbOhdsrHVRCkHM6qdkRE3d9kaUI1Xn+fJKa1DNozQcj96beojdog1FsD4+fzX+9Xf8Mh7htv1aoaczIWjZrI3+Z43RRX4+3/11dorXyoOCtdV9o8X6gc7JLV97fO+/OOvwgYCJGWUAHvlFs7adnXS45ER7Y1ZgbuuSV3Mn39Fb80X3a5uiajVfrx45dac5HjoGlla7E2eiuQ2V4VTul9fz3gw8FXHKwjqmQqia3BDF2o9a6bZwLGTLeLYEWdGsVrIqivpqYdzL7rtHXE88cL2VH/b+oib1YrNeb/aH3cImhYNhify9cC7OV4MH58YOWmjlMtGuly1PYSL58G6939G1iWEUG9uUZSMsgb23jUXmW3qdQWOUEJYrKy6oXGSk8ruJFz5QCViQ95O+8RUG+2R6dY83ShHE/VKZvo9G12I1CQKVc8ItA1KgV/lI3Dub8MRK293sm9QDrJs0XZ1l/5HQsmpcjNLERpAXtlXkJPyce6whJhLZs0XcOdDl7Qb1FNPMssK9UUZRy3JR1LO6XoVQuEajEv/pVpeiamNt8lm50I1tS0nMApIRvSCKea+kzgKJ8/O9p3HM7ITgat76kp/rBAS6UEbMCvsITkd8iNj80JG+pr71egxJ7ySvFX7FeHPndbth/0/FwIAnhSm9d0+DvfoxoTk57K4bCbRAukiOsAW9IHKoNV0wVn8Xebd95rPvOWybyRTWwlaJNj6bMrIlxa3AC5YlBL51jW80CnyVfMVbm2lJnf0etF9cCmrnPegptFc22razBfOWa20LOTTUaUVNEnlJkhaTHayPRIh289V08Cwk5MNhALdkNFpqaIZIrPtlZD9R82sz0DRAPOYHd4KJBNVL5+uTw26moBAxdOJXk8XNVprGq2fpTOEjppE2bWixsJAOkl3YkF1j0zNKLGXeUFmA88GtS3uhu34aC8rafGqmI7MeOjBoF2W/B3ZQY5+SSjnlrbm05lYKFz5rakDmErUMHQ6ORUCAqyKQ10/Qpe1hOyuaa7lxojAcnCUXmbs/RkafYN98nJhdsptsKjILqLw2uhGSel5f081JuX0EnKxoKvEUVvNIMod7nCzLeEEYF7K818k8fEi1JN8N2STXVLBMo20IsCcKkawNRT1fs7vRS1sCDvQuiARBVpqHwRUMTeBbH2N/cLerfbtnw/mz6eEQuv75SwzPoxRsz39hkACKBg8VOD6IoGAL3U8EroI691NBgIU321mNByFfjxAUxyrQH5OMfLTKhR24PP0PRp/aIKu/dgVQff3RZe/USPkui1zHGq/rMGhb0dnQvOteCKaC/XYzc5d5GDueNnA2Qa/zrFy5E1eK9fPxGJIv7sFXFYRYuD5mcM+B/52lT1xxYJKG0A4pogvL0/s6NevLyJ3bltjDfWwtCtqmLGOShJNc3uSbBGnSUSxVIy6Vbw5tVbaTBzAyi5DSEcnzMvJxPAUe8hLunAXEfBj7s/bYeXI3ur2NOpmKpwUdg5go3ij2l2UbZPTf0yVE1CkMPxi1THqF/vMckDtAbgBA1CPLDIixd5s60bqPnrURDpUqSF4UBzgODVWwTQAt6tqDUA5joK1lxSdBqA/13p4yvzAMPVEom5JQmliMFFPBgQaKYFkeJkIhVaowwTb+fwusNicbQVtnySjjfY1+WuB+rrhFu5lhFkFsMueU8GWJpTkVMSLj9r1nrt20JFlFQj2I/KGvtUn2ccTRVtz5vPaLw6wx9L+kG/HpNpgx18nV1eUQWHnDHlOwhTCJPMdDe5RyzeYL33V8kpMkDGNfHUZnNBp7oDIhc8XGxnDvWBy0p4U3waCbw5jsAo45JIpEzrtBFJ14Ti4Fx4cnymudPnLoYS9NwmhohhgHPWwMOsjKWKGvqC2cMZRh4b3bEWKk0+FEI4iUAlEs7IRgmSt372wsEoVbb0uWI0hMulQ3IOm6WUXiYSn6P2fBrQt7JJFA0hXcCSUZmy7qld2bAcdxops0HBn1FXYlP4InKPxc1D0ywbF+McFdf33bAT/rKD5oUoBJQf3WexQzAgFoK8s2E7jRAsYiNyJ6yoiphZfn3R7Kaiuk5/foASy0Uqtww+ZMaHEyH20xFXtEk9i2KoxCgelwC84ABSBygcA72Ufx/cZbygPAVzs0RBXxhHRUhbMszcho5NZX4drM6I3yLrZ+4k9JciJq+YEYD8g5eG2jCD2N30TvXIRImRXW2AAw86O7wEQ7gEqMLt82jK+vIS6EKOKId5Xk+5fmTdXUgTlDgkFdvMyUm0UzmipGSFO97Tnqw/nxu6KDAdhuVDDUJGHM2+z7zqX1O1p4mPzdS6/+9egIro2D33xZGf7v5se50qcW/pG67+vLTyDGBFUFxqcPvIW8G2b8xzfiMbyGmQG4S8c8Vo/GN+L1CbhC66/B9Sf31ScFkMuE8JHsXx4bN8b2iA+iVwOXg6NMVmEZRoC6rl8VKzkJPsbX1OZ7iecZcxh78myk9F47y0QbJcHriOMqTB3lBivziD/4L+o5l7izsdU7u7gIePzqEkhtSUlF60q8Ji3Fnh9UqY0GFuekDSBxkf19UMe5d2kjDgVvajrNEwBsc17aq9GbijXqzd22xR5tFjAv9fMHnnnPLWVzfOKUvrn67QNt4r3rbwZUfYJNl59H+LrMCChxAYob+sWMja8gcNMD5LjxIZxisXJdSUkMPdIZ3QQunx9jbmIKiwgjhKHWksVCt1Ulzy+lIhN7/dKXnbkn0nTFTUH2+oxhKjX43DcI9lU1lXbRq8qayCrvmlqneIsrJmnaKH2lixWfyabZ6Q2kcYE1tln2Z2IUDNwyjvMJSfCTH0+LGIiehmAFgMxqiUH8XTcK0946P97urnI4YjQSIZOSWE6UHZFqjqKKuAKz8bu13Tg3kdKwq05b6phC4QWwfJtdQLMP5a4iylApan2QGFq7zV2rxbhpuVW4akvbzf6OFXh8e6VSYX9iOJ63bWOyeTfNCs7d8KvywvWHE1qk2/P7puM6TpGiT0yEROyWyx6FYiQYl4/JZCifzOcHiTbxGKZXffczJjPVX9zmlH798rXwhqwobtil/BOCbftxGhzjuKpIdOT5ll7fZ+q3fsyzYgLx0EHrtwWh9kC118teYgzrEyiu6K5n4AV57VxN+1Dd7SosLxN1vh/o1+4yXkBh5xJj7dIGW/yiOxjY1uzmzowebjwBwxLQFFZxmy9ty1TR9NSem23j4VB3JI5s0eq/5XnpP+A4+/14T/r0aqISCCWYRH6j1Ps16ck1LHzw9cyY6dDLCfActdrb1Ai9AlA5hsaeSuhxCTmeO9FuZkgmBN+4M9dNnsC98D93x3+7Pj1SBcxTyjdpTfM5GDRzTZeDOsg1ALTWs1GvsaFATL14+XAM/a99F8VyoVrB9OSw6NrlZlFMIpVTrIT2cYKC6XiB0w7C1nLVVrmnIMXwMhJjRbWxwh6+Zc9SIwtsmQazoAWM8jkb03VdC6bC5jkrT3b2IO5/iC56bt5F8H0UJCXcz2OD1WYeT+ZtlX3bbj4KHX6wR366uS/B+ep7Fk3uG5zcdl3a6XP+5O2rTl/RdynHKRnB9vzxjycuecueL0IsCJMMZxaT1bV7RcbD6dRDW+jb9sy8NY3+YBSK9cTIOpmY0hE5E770PCKLcXZRn8d5yRjf8AIhSo8Y+w6SshYax7b7vOIjUHKgGGcwjCBflroJxWrBZ2WIxRT52hO+DmhuhhEYafSaFLzUoRbnJue1ZhQtb2YFayG/kOtrzUe7b1A4lhGr5KnvYV3hnMWHaeGMkw1aQWRKqRoBySVZM20/Uqzan4rEU86x04waSYJSZK2vJRNeSGRi8yQUOmSViXEfG0jRLZ9zmeFDChmR84mmKZyQxEdGVccHjJrYsX0SWTKSOy8nJhroDnkR2ALbJ/RUZrnV+b9YE6WBN3BP+VC+8hQAioN8BxeyzHutVGicKYedEyTJDM2n0+crg35zREisv9Vrb3Kh1TfxabsczmcIU/pCE3naWteHz9RrT9qPR/nfyqt35+fG+p9XHIffuvX/OSh1eEGsYcQow0TDIFQcjALem6vfIcIHdEloUeaC8xUlwBhloQv/TmcGt/eAJ4BntyAFsTQKAPhA4ypKJYyJ5YANfuuMRkWRdB8hsB9JFD/Ha+rf+sWI6VuxenewvPuB6QmMJY5BkR2+Oj7uTMDkeCoyOcBdi1SWWBMVi/t+3qYsmhXXFGlAT+GTA//5z5kxcagAtXcm/bP/dDrmxArxjvbE7NjbFS+c9EoN0gguCGGapKxSWOGDDtekY13r8Mn0TeNCTCDcXOO1Rq9L+ucYtRXDdBTF6NqY+hk/HsfVEXUW87DIGr4wGZaLPnSF61Gew4PRB7z3zW7LFyV/R9thOWTv/MpTqw/MVp0ntfhcNHhrRX4NiUIUKUQuohVjR+DrdwAVIsvhAuUzX2L/CYCjlqk/arDnP4tcbjs7wI4PanTnemftUQMFma+gX7eHJBy3wN4fKORL2YEYRPYX39ngbH813Ty+yGPjKB17Xb4yP83RdRLJ/Pfm4KrEaysjNz7RIgdsJq48tEQlf0o57ybN4SToHwwU49XjQCIScSIxWBpL8BR9XWao4Gja41WHupd7/6+xaT5mtcPAxIE4NGtcSH3c6uUtCwL2qKyoahVtaR2PqkepulZE28vqzV2H0+ngjLEYaGyVXpC/GnUhBLcodWyHV91hX5jueb53e7HEj9d8srGnSJFAeSsZ9h2YzP8xy8Ed9E7ml9XCjX6AyJTMC8+7RGUPkChbTFyEYM19zMFJgjzTiUf9PtOSZsn4+fnHcvvVN12u1bJ32lu0H2h3tQdV8M3YtaV4c3MeUP+/DlZHIVh/q/i86v7zNPTO7O/AuhK72TQVPzGmfAQPQFuDBxYwtqqAJQxXbxc1+klNWPYttj2b7WcTTEr+KlcuM5D6shrO3j83/TipswvZYm1k28yJI7NZISk90SYUVVuaqklJmgFFWmoILZe6QoZqlG6hQZ/CasxDUafwof43+kd09xf40+oySTqHEJ91DuE/IYAsYlzYd1d5aA2l/MC+jrXzKC6mU2h+wyKtcC1E5i5CCcmxfzKsrjiuPYD5Y41h92S8f0+PcTzOku5iTMqefPxYSboXjxvSPY0ulx3u9ricvjbcrhyY15qb5+wfwxn/B+pBTwxxOcR7xLTfzUeg2z3tKcKKsCfU0gXd7Jzx4gBbLrmuSkzMDy3PwlcUcP78L3DhDbhBRWQU3vT/jbPi+W76CqD7/+66fWUNRUFXRPb8H/u5ARVfef8ydtMXwfKJXz/xhcxnqt02D/jfmUohRM637dv9SCimumbaRk3XKUwGVdr4l+4F8SdmjXlEwokcdTBe9GzbqoH1tG2o3zRizD77Soarp0jpAiOqjXFUrV2GhUbYdRUaK2lnL6KmafRNa6vDyp4LSXB83arwzH0CnvubV8/2IE4r//YiyIJJZAsfJ0aWIl8ESBbSaAlOyFqfgIqGYshyMatGk1lXcFwkIRgQwi2HTAiZ50fCa+xF8prrzK3Z12MyGk+Ghu6naTjut68NPz+vnpUsuWXVVhRLwWsVuOi377cSWy6C92+CV8NBdzatNkrSwpHjfdd5lrnZeJUsqrxxjSTMOLFEDFdIqp1UIWFGI7hiVakEkDFWjJvGpdnkKDK7nimhYg2MZDadyAcKALyv7Kus2Yd51y5f00m44zkSSa5aFcFIO1n3mVgnRAWfGDqPANoLo0s7fRVgYGbqkl/pnuMJEMAtt/fo8Fh5op7nbzjFvgTwwQ+tBwGAzz55vqUPOoFdHggAHwYAAb+6f8BNBtCoLNZOp/dPtUPM3uBdT1nDnbtg41N52Acd3U98JpzcwgdofKBwMSQb8V0g/N2HoBjKBkZ+iMIGfhuvwhDsMQn7GJmjZwZydQ1+1ymqF/Rb8hzLPEyvCrjO+fzJoCIHtsh1uvkcG6+pW0mzk1FRrUPm3fXMbtaAA6t+hnOeZH3RNHiZxs/b3DzlZSj4exrL0kLJs04xpN1co6N9zzaKvIE9niKP7o9F9Ry3vCM973LJQd3ifa0XYlR5eESJMG9yjBe3gl6tRpRROrkUOwTvgigKvLrKNNRAvlGUN8ssQJZJLjUD9yxGnMuscsnXb4h9kV1+H83mAcLc55jfyB1qYPu4sZ24m4NHYqi2Rfh2GL9OvMBTMNcXODhG5gJPPdyLj9RtjsGfG3O9ykMHiyAEbCGb3EZkANMQag/7SJAVM8xskRQg6zFu1Igu9C7cgjwxfKLGWCdx2gnZZRD54f4ps1zjlgqsw8IzRfDV47fVPKoZ93yLyDPI1oxpG8S2rnDJx9ztIg6M2HuBtHyyinVxkOYblvmpp1oIy7uY7U73KKOMsslyHFIPT2xFFuBeDVF+tu8anZVkOUiSaU5tGAvQ0RCuQgU8gRKogWbIgVbo6Lj6R0rNPFOFWypxTRKzMDDPft4hY5tWVCuA7zYxBPhJLJow1GVumJROaEsGhsjWdd98d0HYmbwLhpP6LhSOPu9CJfJgFxq1Jp0+6szYmUPBfpQAcRZoMtsBcdJpuIuHPlz3u4sHFiqUJ81E6fJlSxABaXrpIDVZuhQyZdHM0k1YpIQ7u8oSqYplK9JUCVspzpbHViH1zEhxpCDhIvdMuWRz3EaUdJmS05OsmNooLp1toQIEZ7Yc2HPiIVMGjcpt2SVi2Y8Dbmx/2k5spUlXxpW1TPYcuUnnwE2G+KorIWqqSEylK9+PvUebtUKt2vDfnmJdpWKXWhMc2XOgQIh2Ib1OQ7pqIVUoZ2ik3mf8lLprFHrxJgkypyUa2Sq7VArbxXSh/AxxR8/c0ukyHCSH4ah2FWNBuWErmGkvO2s5uv9+AlRdCcYlKXZLtUezMaTSWHpJJt1lV11jhWRN7robbrq1XUnGQcZ6E3pHpnsW27vZyVvOG5m00uqW5T437rdiT695CVDIPXCOAvlaBbZdHuyVEEWuxKZuE3Lh4XpolCkfhVIRo25/cntOUCFKpWo1qmxUa5+J3ok2idock01Rp0Gj+o1SLtsbR8WPJr6EOO2MddbjbciibGfy95YJkeM+++JrcIlIVGJQEpcEo+gxJbYT1SYSbc6ZRRcdl0/K0NdpPyUWtgRJvPk674IuBxx0yHY7nHQKDdNoOmabaZ655ps2PUmT6IXpTmCkixlaxoXjvRGHEcyZWSpZO7/xwBNIpVQJTvBCEKKQhCwUoQqNhfwt8EC/hx4ZCCHLZsy0tM/tWthVmBZn+zqysYi3YEFvWipXaPK6W7pn1ERL+tLI5rJSq453yjsUI3KpRon9WaS5cKTqGOhiHSe+R8xHYEts5nHjRWeeOl0k/49zIE+QlctUjz5VViHV8pNqCv8TPdKVfE97YVvHOkmUfEzOO9XjWArnp7OdqjJl6Zy+PuQo7OTMcEln3/xTr6u6Tcg1sUtuhSNWAA==) 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FYJh+skatDE69PNkeZyrHvqAq3DC7XZpMjm4cX22qfE/uFlDjio3PF3KyF2XW879/P/F8a117ua28VoHahf2p8wKFChQYcBrnX6fqEbdtZhbE/2LEV3m4JLrzca15y4kTPA8itb2ECAhNFYMAYplsiwQu637fgvs+swEuxTcQCOOOGcjo153m2Kzv9criXiRrlZO+Fvs0CAhNFYMAYplsiwQm4QeRKw/FoEgiCCCWEcoYQRTgKJJJFMCqmkkU7WUYyo4zS4vDTPUA5qMXfdDsfZRoeMHbvzsPZvb3NVcQIOYOQIs1kr7iDKFrnZY1ji++XwQaZHLIWeZ0ksNNIksz742b6s9hWZHa4nAUxjm6mdks95m4RjIbXuOo9QueRBoxaOq2HJ0F/FQQaYAEiAFGm6yJAloJseeumjn4H6YI9fAaap5EGREiMZxZhgmjcyC9Xy9NWnJfoeo1cf6jJ6Su9nj3ozN6B+cpHv3DgM2fX7p5AP3fEoOvZ11/4JMIP883pVfwWk322BgSCCCWEcoYQRTgKJJJFcT8n1kFRIGkgnSygtqhhfeNu1JKsCuqyC3oTeZnk0FMOcr9HTRa50sBKIjYbVizFvh7eFJbse8tcpvnoRlUlnWBUl6TUsoWXiLsYS4Y22RBDBhDCOUMIIJ4FEkkgmhVTSSCfLn5MqffLK+S6fpAAUUsTUzovL+K6kkI80FbKltJQ3ygLlUtHbJjBxhExhgmqYw64/U1zHVkHh4rIvpRaNrKoucGy2AP86vtxKwiYWgL9ZbCnNs4sVoPfzpv/CXT3CFr3E+mzbwmf59CR/SoEHqfTaXiiLHQXyIxAZqcLNa8wy3sLp8Ye3XQeT399HdBY3uU4Pe9icOo5P6ycMe1tTnW0NXWFWHopdYHe25KfqtDW8c7OEdLlmRb/jHYlPd/m5qz1jQNOyUTfFri/jg3Lnj2dYca4KYMpKZqfc4AzRLI32reryZnqYD8wMVuHMZr3b4rnaZnewJpb7rNJhgSVylKlQpUadBk1GMDqmr8kqPDqmlifwwhsffPFDGQScP3MFEkQwIYwjlDDC0wgunzbjTYpYk+yO7JG9RCJJJJNCqqSBdLIkG/WTQWrl1UiLpfCb4U7ctFSSmJSBcqmEVIFqaqjtXdeHaqj3N+SKQ2uYq23yS+7En2DsCPiy8kOkeF92FBpstaVdoW+4zu88nwrqD30RBihQoUGHAe7XAToJq/8KgHgg5x/soJ/MunMGElEqoEqNOg2ajFCjzcHWvTOiU322wAtvfPDFD2XM6NMXLQgimBDGEUoY4Xp8D71jgxNAHPGSoJBEkEQyKaSSRvpmRqHeaURcZU2CnGm94GG0nPzigBQwCiliqhkFJd8CDdOUm4EI9dNGyg9X9OHr6sLVRfXovbwnT6Gl94rwfLTStVUH3OYSyl7kHcg61hjJCFBlFGMYUFIXbaGerVlljvcInanfym2EYXYv6ToOC2/aAly3uVodwLvHcxEFELEbn7kGRS44hkx7CwFwuyzpJyw7rSSnjmrAgdZCwRgUqNCgwwBXOno3u+gNLmfkDa7n2cpN3HMVkGlGlFQ2i7NEUvpazpjGZml6Ce/6/ItTHcubpdLSnFDrWqLW1o1yGnVMNru+o870WkUA84xlFmMSPapXpMM3hbDJu6XKeXeDRmOan9W2OKwvfLf/td7Isimixs0OidPZKWpd/aBypIhQR1kFLKggk8FCohjgKKvuypG/QQp8CohVvUabzeGbANVVQS2qwL7LaR2WoWJTttklsI79U+J00VCfKB3iENuEJWFWasgqSapcJFys+Xj/m5giYyxcSZKvioc9cgDc+CJIsSaN7uyCrm/Tsfs/o5VIkSKNWQGVuhSan9FA1HTabyrvzKGq4FvtDCRA+e4XLQHnbaK6lR9+MexnZHh30ldkRPzplws8o8LIN6GDk24nRRN81J0MUi59UE4/4FB+EYSwZu+/yfh8wPXI7MxkcDyyMDUP5GFZKUBQfRQfA9EVqywG5unxNAXPiD6tllDjrgIuw1DwYhopMcPh1WOrhYlRA6NSCROhGkWEGFXoUUFQlgpsyuUwQsyWihegaDOd6zno5gnZJvMzh0YwjaZB5RuE6OikzMDJIOttgZ4VQ/cBwOuKgYiklht0IYuoPqUGTJkZWG9ydaOmP7mbGHZRpTXSTPqli1fRVHxZoAAyuH6TnZKs68W6XAegMbAIKhYzmYhpQC6JIJ+tnvnQBtjoWzMfaPppabtJItELeYsgsVS5tMQmEjAYYosuZvoCORefLsTyuDxGefks+TIUvVZbI13CqDGxNC/EFbuEdotF10qpq9KLa4wyCmSCGPJjlFdEaDa7DSwzloFmsfkMphLPmpkDdhYKiZTCB4RG7oLDUmpxqUOUJFEqhbgiHJFncegKKsgclZNMZmCx+QFIlEsV4UtHvBw1ocxahvL2VyqrPcEQhUSqro4wrjcXYwoTKq2WVewpmVW4NwILQS4QV2P2b2EMxAC4uIyThy9e/fGnJCM0J4zG0GHrcvSxPxoiJin95jNZbA6XxxcIRWKJVCZXKFVqjVanN9QYa01m2GZ3uNwefzgSSzY0Ns/u7bMbikq+g+SCXR5MMxrQC2sKwCr+iWVvHNPAxLfAMduu9Ojh7E+5Bk7TXS1HnfqfAN6GMlQEdB0A3dpIgCIKBMEhQIAKGIQdfyxLgwBgNAJfMRqZ1BdA+uwJ3R4Y5FcwXmNyraqVWZL2tCfAgXI7mePQ/ROTOsuClumBKg2QN2btz0agEtFlx02dXf4hSSZIlHdTXaxH1deQOYtYpcgnjAkxISGkhBPhTgQQu0oSCVci+OdBAsGeu1Z7DLoieqwHKM3CS3iEISF6ZUfCrewSwHpTTwflBPfv/2uIUUKf9/83CPz37GdLAXx26lDJ0OLP6oaChsSDGz458clhCDATsNWArwDk6rQIAbnUXsrFafbPpuutdsRGVzxy3FHb7dDqphabLddmhZW07rpnrWMQJhZdevgEhAyImBIzQ5AgydmwZcfeWAouXLnbbZM9HtjmBQ/+AgQJEWG8SCqT/SdGrDgJMmTJliNPvmIlNEpV2OmCXe5bao1LrrnsuotOeu6UOgf0OO2ts7ot0uylh05Y752F6h003zwLrEOHocLRMOhg49E3CpcJQ0aMcZiTGs2CzBi3WXLmwJETN9Zy+fDkxY83X0qBwo0TKoxalImiBYuXIlGSNMnuSDVVgUJFymQqZyXdiPd6PbFfl7326dQBAdIwCB8VvhBQszrU5QjUAFkfKvyKJsiCNCZ15KzQ/0mZ/D/5acsXQACpT0BwF2CXA90EABTWA3ndaiAOmELKqlNfCqvVTMQEdde4iCS1dRmmXvTGgNqEgagOY22f1aBR+0otYl1TospNlKpqlkxKamCqesV1d42bIEVqNfWtGiVXM/dFBgU1l0ehKRsfFt6ECfDw+kQ23UVdbcgSjkOIGxYcJXB9fijLlCyrHM8ixpPRcErrA55jhim/EzgNZYo4Uj3WKpHKaBRFSZTEUZk2M1nI7JS4icmWJxNLW6Qqw5pqMOV7LJI5V9E/Z7tpIg0CJCSIGjhTtkux1IuP0r20H4VEZ+jApjke0zTPD54QRXvfexPLiztBHatYVmR4GnFUZZmgdp0YFCfyXloo4cz+QKf+AQkPMgI3TGmU2SOmq2VR7IDvfyWSi7HABMbEiQmoZaJDovAaH+L+89Eo0dI73YBcd/793rqtZTrfxVFiN5nCu3ndnxl0v/J0w+4jnXjPpaFuiDlFOclsdv9wpEeoHfMA4zMMLVG2Gyarac9s6G4AuhyzvkzEOhFKDqvwY2sZLzhRKgwl7vZ1pYJGIVqUTFasTrsMe8iR0ZQnLB1QjUhtWmcgTKA3wJj0ux8myhM2R7E6U1XlN6KmdRRN/aOdpBjODU5drTtNVc+iM8gjvlvshrlktI8obW6m/5JGMTrrtzOQ9uWW/jDl9NPPWXJWZPYfxnWukjoXKpWNp51HuL4mxGTt8mp/h56ZCqPEvN0dQ4l7RMbcNNcROVyl7C2P5axcuEOiIWJUsjTWo+E4a9yYxuhbci1rdSTUGNF6roLu44WuAg9IzbsLss2jEyV+r8eDk624SetEapWk5PYatsz7zu3XRitCkx+vLnYoVtdkIct6XDxSfxcRVPI2lVvH76U2oHU2UU08Yi04HpjZXDrFt8FldX98/S2kHJacC/523IyajHY6VEwSs4R6xcjdz4g1USOq7uf1K03NTZ7YhwnfqH3iho6hNKug+DoFRQo/X03OWyb0/OJCgUANVA513HdAv8uMDfxLpvb/qZen2BsBUj0ky2B+Y00p1RVClqWK+YYYcPKFIpEmTaNb+ShGLbGiUgkm7SYpzXXiQD4tU1xHPK4o6Wdxd3ZAwh5bBibFpagFpB7zM1VE+DKL2rc1yXbWjHWKVkNO2W5/Wtr8eCEMiHjpvkNKdNLcJFGFHFmfQe+dtokNnotCa4qa1+hVb+t/UhpcQnmYIAXSi+UkveOR+Nn0XWJ9SAHyN0hGAZepHT0JUKszVbOKXSOl6z6d3u6EFMk1Tq112+ZL+9b23Q4M3RdtkMacfDPk9dsKa+dYfe9kS5CnTYjZbNIUCzZp8iVTH7iCnq/4HvE71u3ShJqsGebTMz7X/UB8QFbS+API9dhUp51CKGHF0+amatkDlxQ13cr9IZTT3F79MNf/MTmriElMZas2ZZJTlW8GQ77UCxLLBHYGfM0dM9EmJrWPb5lDNw4Vk9Y2ofEDRvg5YeUC8pZcS/9AyMlia+vTzti0vR7JD+oJpbeBlgkOaQNV1f69/aQ36I1kNUB+nfoqgyZaGlhI/jRWgghJxjSMFLn3JOd6gqjeymsHzIk8unb9RBTOwaH5oIRv9bjs7ecp2aE5WBgima3LiUhMCrDEdJigd7hr0bxZ+ez40sXkZ8vraxcFOLzDPSihUYMxwS2fRuRVhMDsQBTojnc97NwpguZF5nYu/n5tbRIioC6Vu2iAtUu1uiwcUMaGqYYmZqAKIxwWqtQS3SExACaLRatVYpN5lEiEW71mZFTNizTKjWONiIarBGEyTgr27xM/s9Fm1yf73c7Sfn1IaST20LGnRAZ4KbNckmZAhKpm+Pp/2axBWszbZpcI/QxzAqNBG/ZQ4ZB5dWyViaO0hrRVBhR+6UncR6t4Im2SUUxPlNSR/RCweLJfaorVXcIhUGw7vK/BmjSnxzZHU/VDDHT0oQoo+D665pgboNcfyvE/3lPDxf+h5ajdZIo2kp3j4TS54iJ9RbTg/ShH0g1fsFIUUX9MJHsq4sCKoEsyDd83r/M+iO1H7BHvvHUwB83cxdYOwvB1YUAVIDFsJUEPbxOYqPiRsfUMf4ROajFoU6f/MAugxDkWfSYsoPxYi2+cRYmlFNy6YU+RO+1kJkXM5rboYVk/ldY3YblNpozAkLAqA2Fn4kmty2HLp2jWQHWY0/RE90GXJEU5TY5rs60pReUto5R5FYM0Q+LB6/a2BBoM7xsgkSDGC6mOPUlN3mpH0wbHluL7aPITny+iFoZBld9Lv9uKlBGWKlp0Isn6AHvOdeD866I7GuhrUV1XK6+y2/RHa+LebxCtWyf/u2RpX0jMMzzaF+WLcl2PTgD1ZCLf1uBiV1sLei66ecnm1oIakZ9u7uKvibp9Wrvx4vjcTg1HDqDdEOmkvCFRgkJKKQhPK/aV6lK0W/earuLu6jOTdXn5qQRmt2lm6itYaTKPuaSiCGQv4PZizLMGt+r4kX7iOjpd+Q7Q1P4xn22QiG2qbxPRLQRqTdF41UZT16hzfWggrWcnpAFeOLBc1MXCrURXUqshnUkirt/AGDgvjgEAJnqYV0CoLVEEDdUdtvzno8hHfi+YQVu9Eib5FUnFpGDtzHhIq2Dl9ZhkN6XMaokxUXxmpN2WREYEndwkbrnjCm2C5Qja58v5TNu9rfPnqBQ9EUBZVAYseW30TWg4Fsm+3vewQT5Yq5QSJGd2pcAMWvQ9q590uFXvX00O77Wei/oABbYMJ7w7af1xY485j+QaOVvJuH5KSZyUnaaOM3w2at6wQ45I7mJzudqYjdlbOl6L9nylJSjdk99drCIhL5JU/6PJtwvilWcwGzJ1JjBaN8WSNPPkS0C8pftjvzUhtpROI/1XoYPte5ikFVekywncSeQaGKHVbu17UniDV1RKl61fSjFbmru5wnKSgusWUKy6cSXujlctGuzct0WasUKNv93Kz7shlh/R29ttFnFJtPxVhtSmO9h9CDQycLBQJMIcmwH7jk3/vHoQJ7yOtecjgs5/sfTvwuvd5qHfoI11vIU8UMH8EOopOgEhrC+f5HypIo/DWaAQRCFD5FDJ1vBW/qGI7tCD8a/mURaZgIk8oAnhwgSfUo538RcUvUqO6JW4uCBAV3eHfD65I6gg2p6QwwlYWt8g1ZY7S/QkUIirm52sIS81whpqtiZ8KQ1nttuM6EQo2wKJ9M0Sj9xirHBc4ooHC53SGqTGw+xP1gIT+WL9HLWwJwIlhAs6a+LOkLnWVNRgKTCh/VG9EZimyyyyrmmpcqMl+hQk9bHPSyZDk/wvw8BE6sKfle0O7R4G/7ev3swbTqLrWEuaLXFfo5w/J0TNEFSl1sfE8kNFAblQj/H/KhT+WR42ameHDm1xFjX+A+uAiRxoPto8AA0MHx0GdqgPAu1h9rk1mzkD/fMclJQXctzMsGx6afrRzumPencNK5qog85zR8LACPcv2Rs3b9rc++JqQHlXe83j3pskd5X/FoHYDLnu8vigFI9qM/EXhhQhaG5rTSTSYoQGQsogtKDFHE6JTqKtog4R2nxcJLqONn/80mu9CR51I+gPnx9C3e+bH6UbEQR3XZchvjD2cfFj4cf4n4Z7oupRrTFQXG8tMqL9UWAiP3cnlNwOp1nYlJRb64a+UMoWLJTrS5M6lYy/EzILbDEdN+3UEZKGIFXdfs/mgL+JB5pNUfDy5HPwdwJp0QwOfa3nbcC1KmyPv/PiwTdf3yW+6y3+VzwTORlOQ/Jmv6TC96ph7oM96eHUkkMC6RvTSmetXw7+xR2NBkk6z95BhGYFfxYI3xNrZNbw+KK57IixrqstJXXh88gBWwuBW279DIK+FbI3vbl60Rl7r69GlkiIwI7Ta2LLY6OnARqf0mRnLIsTslRlafyaRHqsNK6kIoQ4Y1mjHXzFikKZ5bGh2OxiBQT2o2CoOWHPWkM99pirEcWEIv3JgSQo3bbvyRXpxZQ+Snpq7UuPpFdKB6TgIPX54vTw2NBY5rliKuBM+G78Sjgp+2vf3xPA+oJq9cVqNdN9PcI+xmcuHSNUTb5KoKTzchKj9amEs6kORWJ4sO2SkYotawsaMC8l1Hs3HCzjEJjbwSsFDtinU7HsdsG3/lle8WwO7o0D5AwIJVtCys/TaG/2PMdpdxq1z9nIcxxly+lLmYSde8gEBK+nhWGhWrznZGTuLF9xBPfR1/Tmy+OGKmLVixPvo7LcCi5xG4Mw/RYN5DPMyrAQAiFV7CBbFCA4ClzE9UZc1mgNRMmDM+zQetaSreRKy/l553vBCYbTpcXPto+6Cd0utcNk4xFCNdVtTM7urXjiG6tlr3teYpFW91AkbTw9MWoTgIMFbmdmpN9a2V8DGyh/VpciEMJmfpYTRROLhs9RZ7EJDvkkD2V+FXyL10a03Dku2I1bZHVamb9dXGJcpxay1HUEp4vgAPmBrWBAiJ7HUKdwflJjaXfteg+jN1BjiVFuvCAgqTVq0pdKHBVXEjbZUI1loJthcyvJ3d5VfkqXR2F12wyV/UHJzfnMLz/C4cfWUphzqpLujh2tw0pW/2oScd8OOUjdtwftVDXGV6eedZ0ZWBEppKGqpalg6j642aWKVaG51LfeHaz6cvAvDPFzvS5DwZ6m/LwU3ZnEs1aIDUlyWXH+ilYUPMNit0iFljq6pdvgVlQ3GGB2vUes0Tm1jCadgVrvkNX4qjYfCVCppqNbKqseuxqkkfzHnth7bXzp0L8k+/EfQkBHIqwvnVxhNXyLfBJ5jVZOrhilHQVGJWLNbO9H+rGfQ8BcXHp90m8un4Hb8sIsI+KyeZy5eWR/tv/ivQX6IeTG7j+Lxq+tbEEQrtR9CZghBAJqZYfmPTuNTZfsv+Wq5pHPH5B+0v4u9Cyu6g9VPop2n7prPxM+IKL7ws6GmJx5YTupx8FJhtmtoLZY9lsO4su+ZrOrR+SvdKYAbaWH/hrDvYpG2+ZmvEb3bAUtzX8V/uDduX2meY1x5c6WU5stz1ooTU5FLf1q2dYn/SaaxaKt6gnK7rLEM4NH6dRdXC7CqXOH/QoLG315TJSkTSTpz9JTEzTqREryyYlPUUvLV5PaSiU/sYgOVCcAIma3eP7nrrXqaP8x7/kKwf+FEr4w9+tmoD5xF6masS1pNZr0WSZAOHGD+Rllf4psBDxbiCb/Av5fQaBTIpFf7j/KL1AtfPU2hjAmfQocLHDGUzNcKeLCBJtylExIrmqPndukEAesdJHLm2r2Eo3/nDWJ1/Hor/7tarJ6F7FlXIuTDi7jdXzmU/tZ0KMxqI61GAOzlBRYTiN9xO5COk28xpC8pqUx0+WUxQt3jVKCCh2xbmkdDRxhiNo2QENGp3EKmWpyNs2tbqShLJuDcixYXVAdtffCV2nYP42IFdEdcLDBigFL1nHUeXROjwUMNVpShinfVMS3z7Av1WKpD2z3bweFjZJl5d2x1z2vp1dSR6u76z/0fwiEzRHuaXl54aW5877J+l/wvJBd07bmx9BKFaCHvDj1aAirf+n158ORuD32fmxscKvckh+tmftj91+N0rCYAyOVwaovXo9CDpUfKxUPDzDo0ZtC7u+SKqLb/1xxsF1UeoG10Mukem30eO9rytL3fwptYaBoMp70Wytyf8X9udv72/snheccjY1SGoVBnf/BDeabhRulvKpRB8mrYv9Eqpj9ECGV43bWw5rnKuO1ooT52zkgXEkeGHj229NkQh045mOAhaSodlXc2pGKOrojq9TUqFWs89NGErQsPTZCoz7WSc/Suh4HuXhgyggh9iYnP5MyOBxJAz/jbHJASLLGluQgZTZ2C7fUluZyh0pt3BZ2mW0deOYRMFW3PSecd+jGczfCEOCHHzJ39OBtIq1JxNmJhrkkhOzmzEnoXO0tve1KvJ8Lz5smgXrwHW5NygRNZlImv5BGednG5s4vhYVmcWiSXpiXm4eiNOIsGpZFo2G68PmF1BySRdCQklnhpEzQaHHXJoMeNimicXEzST2oePhN//Gry35uaGk4d0+zqh/8zHDHNay0G2EV27I8YaQwodEU+1J8xtmphpebkH9mXlHu41g9RiriqC3PCAN+AQCooKSDN+gpDzJXJPw+U0IkTpbl0il5hiYVZdssb83wH88LYK+ONsfp5i5KOlwp1iAG5klR4ZC4yrRj6RAfYx8ETVtOnYvZlA/+Cj9wd1LHybj4l563Ni2WJWAztykmt1gicm6T2SaNr22yPv8d38XJJHSuGHd7GQxxMNZdbPZUuZULoeF9nE0Y7uVqOdMukbDt8urLTvALbkqJRXXoXBqWq2/WUOdX+AzDd58Xwl49dY7Dw12YsrvUmOsiDybAXBkP+HYyX351EELbBpnMNRgrv8Wt4DGcAmqsf2HAMy92NjDtD1i4nwLfi8bhsSvCG1jqixTOVUmwTEhxmPkqi9tRKxd7sJH4tANc2CK//hUPE8xn32dQHqfRV9CJVhzxCIM8QWG8wcgPYmCfzVLrqjWI5kztf1dl8VnAnx3Is4Z36Aaa0ChEnt7XNAFk5cgioG0q3f8tTTevd0B1GRjWz83ORWqzN/CKqNeeoOrm9vWr9tjuLcqG9Z3UrygE2gHRZxlLsswlzmd7s71Atq96mJPiyMGeG/DhL5aQQklJm15SKuF9xypVizqwgRA61NHZ0JLOtMMyJN7ga+v4oheJL5fYv4QYSjH8S9tohE8n2N7V2JxB2myyzC7O9GNwx76KZpGfZLImySw2eS+TtZcMJk7eCvQuEBLgfkPxmnDJmgEDHl4gCvaY2aYloFrGEIQ0pa1wOMCegSiqRxkaP6wsazWHvHwGAq1ujlUM1LesAxTdSaip9BUI/P4CjecJJH69gV7A/RG+Er66AoHXA2AsnAqD4jMjLi2/A7s8b4vbk7cZO9LTXTqdi872oZfm7vAHqtgeiO2lA/IZl3TYtxMtyUid+sWLRvI2eWDFHaEFs06anCU8VBDeoFk1gvfgV4yq18OoIM9ZYgoS3ngDw9/jNZ05bfI+DGHeeJ0ABCd39DoDPczcvsPs4WffIATX6V6vHl3x3JFVmg104H3o+kXNwPwBDSAcaq/svAHtpeuAosTL8H5Bso1zvVOn6gdSgnutS6saWPDOHRAkwCre5A3lh2ssvCg8+MGqJ/oFT7jB6tH6wfpFY8+6aypv3KBnLPCT7JNG+2SOnb9oftIQN8YZ5i8c//iGClQ4/NHG+T2MFPxvXNA9I/mgrK/buCczbv1kcMVeU0fDKlO8l7cWeKyM+aZUUq4mv7azuPeNlyusUnpMpmXMNbUkdMrihQ0LNge0vVjaJIae4NmrGpRltAFrMiPzBJbXNMyVPdFlp2S1waCynaCjPPnNXay/L412GDpe3Fp9t+14Ac9hFfTZKN//Dl7gmoCYF1b5bf3FFTwXOSBQ84N+oUrmY4qsEpW01R5BD7279+Yzggy3Ks70QUd24HvzCyinz8LoxxNCQ4qj5Ay/s4wcEeIOnGcNu1gwzsemSCmsM0wxtR58ktjhbvK4FAJzhKY9vdaf9CfBKYbcxufbd4SIHRkhgeIjUxfzi+d6KosUcokleMIoEDzjpcnlcIyBx++o9hSFSEZTSraBBSPRSpa9RLzxxy1TAk+TV+or+IkAZnotQN0hYqj7wPNFyHZ365DoIZ9P9GArShQZQg8ywofu+B3u9JjBzegtS6kRHxkJaf0OL58cNZHSJN7hD4nUPw4qHlHe+YVE/XwjjZ4mGCkJr8ha37jKFEf4404Xf0ywVbWNjaO1GG/M5eSNe46awMGSzEOulkHhNq9PuBWiRDMH/1ZfRzNFVrfcGElzH7DbqysyZ3lNXd1IjSqHB0p6xFibwe4xeJjVsFx+sbXl97bYTeMtHKN2nUYgFmtArH/a0yzvlsPTtZgUmtFQhmaXheHvYN9CcG1I4eXyvCoVz02HQunh8t09y/d62nLyTwmEJ/n8k0LBKUDxK7vTprpDdlLZicSJptMfzMC29Z3Od0Dtol2JXXHezsRO8FLAvfCZijbTKFzZNtXlqnaYYD4h+A2HXusEyiPfBwPrKG4+v2rrOtf3gcC0iwJB1KYpFnEIJFFju/dJ6ubNpExvLJF4RAK/RAKxPZFEjG9B8Fu4vTunY0V+97fdOWxnlvGSba3RXJgJT3w7iffIrnnb5xMT95iN0+d9XmmlhxUafsQjmeX4VeaU+HqDvlNfoyf+OrM7CGFags6aTtMMuepXmmdxEM6dnKuYwhpChkZD4WxGGBbplBdIfkVRVU6IumCCTN4+jN47GBos/yoMpufVOeosdfbA5NfpxWNDY8gTX/vtp+KbpnkJddZ7T0yuD6+fDE1uCW+ZBMKysCAMukviKYvHk28WpEyAfV+pCn98sC/eF6tjCFDdCivC8pemA7o7yKGOQ21Z6g4E6O9k8a5lz8TzUwD4w+Ge8FU+kxuKqyb4SFWlY+LI5cc/LScIyFVopyl0eOUUwCn6fwyb3weMZ6PWrD6D7vjPiZ+B456fclrdBwD24HgbtuBZwNC9L2gsvSF4azjq7kqY6pwt8bizIeVMutqiIeL6TSQn383l6vlO0sb15ceirs6kKeVojSccjcdUytUae5U9y4muYkA72pftw9c0UK2vojT81N6PEe3HgDRV36K+K7R+cfz5nsTz4ZpBwyAAIy69X1+bd5vNucM06XsKiMkvKhQX5PILzVPkYiXxPxL5XyLpOzLpe+A9SN6frCrPwRmpV4VUwviiyvKf8DXUl/6FxGct71kAGMZ9pauoZBBLJj5UpyFa+Wkq5VMiUO0dyA6AkleYyjz1hxMlREYlVtk4GVVr5Yd4dNRKcJtnFteHZJ7q6OF2W03qtTNqfvyEciyOPc2YNYPmb9HiWlyPd367Inis99vK9OnOLoMyL2h4NdjyCntjru94gc13P7C1QICQAV+9sORAHvKtPRhv9wL7+b+HxVo+CwYUvZIa2gMH2et+GeQBNRxkr/tFDIeDS5IHwuEge9nvYdnngehzkL3uL6516EPxgOlVwEH2sp//e1gBw2dulhD/fg84yF73VxO+fANHnzYHm73NPvWXOEzqU8LngG7HQfay38PKzwP6OMhe96s0Dzjf6w0UMYzw93XhXydLcxcdqRdt4P/I/ovKh4u3c9j8v9etoe2YQRf4b/cs26rjGHpI7U8879cFoL6Ll6Wtus0k73b0YBP+27zzfxQJBoPnK7xpd9u5LUEEkM8AgI0gC+T9gTgctA/rBq4Jm3AYvAyx74Gcbg74ADk5okAfLolBoDZJf4drM/R3hD5NNBzkianGazmTRq89xffhVscChrhqz0VxK+MKCdhA3l7RqFsVm2sfstp1OvH2WPegW0Ox1qoiilsZibviBfiP6aSmINbJADrE2/deYackusePwj6n2SNfRbXKYV9S9VIUHFGj4vqQxCXZvVBUNx0JD+iyVoobsKXU4wgrg8dkO5oD4j7NMtNXW0sAU7DfwlIM4ZKuKhAMQFBySj05xc8y9RmWYfnTh8//p/8bEGFMguTInVKoKLnWuOaeDzEUnkhFK2YJkckyN6uzKTuzP8dyLg/zOt+Kqf1arQFVa4JmaIGury11o143li2yVFvVtrTz7XrTtr72pI0MmMs5jhO7WjfkGoc5w+Jh1bBx2N5GSJdvZRvTnOA9UclTI7JYsmmfzuqWHmhILzSizIBxZLU9jnrEa7zJt9zjQT/3+2W2uGtw7V23149ebnsP9a4+2Cf7Yt/s+z3cn3fRnm9oy7d1e/boPrWfHh333tNxNp32c/Vy/PkN3Q13zf0/puFEEm2sCWQge9KRQzmZC7mV4YxMMZsNZ9TTPKtn6eycs/NyPg59Wl4+8uM++Yu8uW/yad/wG3nZb8zG/KEU7dCHzbbQqOU2ppb/T0d3LMPlhnEzufMyyzLtmb2ZE5mPPKViAa8xuyt7lXeP94T3nk+ZFfAlfAe+Lz+ar+E3BIuCXcFnARDMVAYCM4GNQClIFtQLZuc25XblrgkeCp4KPgiBcBWhrzBMOFEYK0zxBRA45ipQCuqE/vnnhyYQnNEqAPH6YanrX1yxwIVOw+OMCzn4Kfz463IbCBy+CtA6YjzOuMj7TOv5Ix+AdAdrOUZHl5fHxVWxzYeGxuWn3OcH434fyC9dqNPZdV70W+RSTHOP8/uTIOUqfvm64s9OhtVs97vjvSB9FXtHi8ZgMw2PR9/k5BUpinsmOLWTpaC2mQBJaGMipnrzOviQUzsP1THPfu5d3IZLQNIet1QaiOnGJosVelWAiovycB/TpdZgG6OPvJoR1BqcZ0goJAWCIckjX4P/9nGrGPxLC2Kn8e5ERIhHtSR3bUINSs0KDG3nq62GrDLliPsb2AauHh1hp+1JCdEU6+414Mp///+M+W87jBccehjWcB1aiapGQyqffZdy47mXIRLT1SqOV1Bqmedp/efZ+uSm1h+HMyL88IAA/VdK41vH8bEiF9Zrvty6RM/eB3LEh1Dlmr4s4ZTjk+PmWASWdLaf10FNG2CSV0C9hcfz1tBLAlQ+qO85MYvY5ftkVqtKXZ8haiZRE0Im5Czne0hP5Bt3/Xq8lFvP/kSX1usXpFuZ+KVOw7jP6ryAZ963PzYvfSu7QIjnKyj63L1d9vk5tC55Z7ehPeJDwCwSiQYYGnr/Ms2KDGq+eDVPXR5aR/MUESIyFfiRf3Xkv9Bk/sNrzwceD+OEbzrYre+kIXSc4lVoPLoxn14goxAonsJAf6j6zzs1R2+BZAiTTwie70CbWzr3+imYAdiRv/mC9yx59cMlhL/2Cbe15zdxWkFXA0II2qMaL8EEIkyDYiooAr23sgShnI4PD3FjBpUKx0Shz1F48kSlyPjT2O7eNK4nfYw/ocXzsh0zgd2A6ogPEaa+9xed72B8WsD3VwCVhJGwLReXCGsXhVeM7lqpXqlkJT0A9fL+Lj30AcQuGKof+f8Zehzudntdf2K3CGzaT3kKbXTw8nJGrnhvfW/zhsmZxdMj90gTqkmnfkD0WWdW4KR9bpABVSzQvn9yEQbQINvx0Qo5sz35TR3bKzbHdHATrmBnOCfwakXv46zAMDZn385ulOpg9uecLcpEV1X9BxzIS+HqdrPtOdep+/nGQEyzPYnC0jgVOlzv83QTxmqTNzqZoNXwmvXJ9nHK8MamunihfeQe1uR+e+UjE3y47RcNRI4j3fs+UMFrWPW74Zqhg15VRUL+7mUTcoNJfmg8xh2PabY+LEnyxEHZWfMe8I0dlCSbYeTC2BjOkVgR5ETsKTSX9MMTY4EFg1b9vp8+jDvndhNdDm42FUQ7Kc8Im+gJgagQN+zlOuj89O+HRJHCAUZN6kdD32HGsd69m6O3vFMMJcc5tG09fOmvjpBXXrzU7exooOiz61Ae8SHAXBz9p3za+9PGEjTD2J0Lhqfwa/SW4R8Kv/zVV5UfOE34Wz6I/Si3882VLAZEpQHfeeKDzmuPzsnkBY4g1ILd4s8znTOvQGg5/O+MvZ//XSPLgLufko35xi/A5rSOhRor6ZdSBAgugLYnoXoPU1AHvwOHrRX0DC2yvDdOMlZegKrc0Wy1bCg1H2XLFdsnlTdHBicilm3cmKEhzOWFKEhcwFjvRl18EI5BRKSfYqrKIaN6WfQjFQ3UHznCjBeELchmn8H8zy8EL1nHpOmEU7PQG4WZx+MdnGn5RJHEQlG9Eblxnha8J4pNgHaouiRFka7JfaiY3UmrfSWbe7xijp538Xmo2HhZngNWZowXXXAGdXeD3Hgxsb+5bUuJp5bSM4WgHbeUH0gwuoUFuPTTwQPaUzsZNgwxJRnBMZrJGgP1ZYLeiNlAluRA0JUe+Wrn82taiw/vsWmb5bkstdqrNAorLKN6SK8D2DEhmHQxqECk96zazn5yMBe18vTiD3NepdfYSEU51LkhbpN2rDwlthJhe3JC+QKZLcmi5Sc2xwX6sENow0Z9F8SDbsvl3NLYO79+6wyJueXgP2X/lKWncEV+DWLR0q4mbMA9FL/wnG5FW6IY8xFLycP6kSUUOyziZi2Tr0rYiwnh/ut7ramVdLjoKmFckUU3ZiGt1eInPUcpAkP2cOEpHZnzMtOYdoxM7nWWsBjt9s2skuJZXtayPx+5qBMBkychaZZe8zHMTKc0sKOvBqQWbtu0KByZGWrY4S07mZ/8NR/pSFq/7k1pJZ/9+/zWL6iuTmud5RI0Cqiz85YvDsTqx7YULlGDVYnFK4PexeKG4ckvSWPBTJPOdNppWQyyvCr3b2W8suChU8O6/losKrboXt/xjS3VIZLdgdkRHwKtw34IhAiECgsl0i0Le15BYFpWkWeVChkM9OSSNbKjdX9Lwai/CQsMvJ07DjWG17YpXD9ZHirLJDI+IbqYeIApUnkN33P7MJcq89iEmYNsenhviHGS+TqWJVz302q9P7S1X1fn823Vnmw+NzCa57rBGpQ0o4gA0r7AHdTHiOI4SZVGcbGhYAdjC/FcjrFbZiSS4IjoCkYqc+QalqhJDtDFhceDQtJP3L5dyLqQBUskiGn6N323aedVvb1HVBIvLOPtgtNwqByQQXwIdcL+6E168IWqPI3tW2+8lVzqkmdmc5Wi+HAJa9/6SA6BrJU+slhEibyDCq+Zr8aFBplYvz8c1zjHc+S7VCfX7df44OsFfit5FShD643DnvDeyUE1EVCZBDQa39M3ysHn3cGioM3Dhy1X6+ySL9HAQiS18hU68s4MSohMS375p9v9+e5wOMF22O0XhF688Iv9PVRgFXo4n5MHw3iiPCakoiobV4+obkKjbdYkfMz6Tmp60TTKL/+gXa/mi8MjQRhLdUez0wG4L6+YKyd2IxO8J30C99MdjyeiaOnYsSdHE0xsV1BGoLKjyWJmLSawlVIh4Hy6bc5xFD+3/zOHcQfTxXqovj3R8XHj/8MpYc/uwvaIDxF47xP8FRk+reX7S3MSMMJO+/gopcA8cp2IUknIcg09yIFafpGq9IBebeVbOhdsrHVRCkHM6qdkRE3d9kaUI1Xn+fJKa1DNozQcj96beojdog1FsD4+fzX+9Xf8Mh7htv1aoaczIWjZrI3+Z43RRX4+3/11dorXyoOCtdV9o8X6gc7JLV97fO+/OOvwgYCJGWUAHvlFs7adnXS45ER7Y1ZgbuuSV3Mn39Fb80X3a5uiajVfrx45dac5HjoGlla7E2eiuQ2V4VTul9fz3gw8FXHKwjqmQqia3BDF2o9a6bZwLGTLeLYEWdGsVrIqivpqYdzL7rtHXE88cL2VH/b+oib1YrNeb/aH3cImhYNhify9cC7OV4MH58YOWmjlMtGuly1PYSL58G6939G1iWEUG9uUZSMsgb23jUXmW3qdQWOUEJYrKy6oXGSk8ruJFz5QCViQ95O+8RUG+2R6dY83ShHE/VKZvo9G12I1CQKVc8ItA1KgV/lI3Dub8MRK293sm9QDrJs0XZ1l/5HQsmpcjNLERpAXtlXkJPyce6whJhLZs0XcOdDl7Qb1FNPMssK9UUZRy3JR1LO6XoVQuEajEv/pVpeiamNt8lm50I1tS0nMApIRvSCKea+kzgKJ8/O9p3HM7ITgat76kp/rBAS6UEbMCvsITkd8iNj80JG+pr71egxJ7ySvFX7FeHPndbth/0/FwIAnhSm9d0+DvfoxoTk57K4bCbRAukiOsAW9IHKoNV0wVn8Xebd95rPvOWybyRTWwlaJNj6bMrIlxa3AC5YlBL51jW80CnyVfMVbm2lJnf0etF9cCmrnPegptFc22razBfOWa20LOTTUaUVNEnlJkhaTHayPRIh289V08Cwk5MNhALdkNFpqaIZIrPtlZD9R82sz0DRAPOYHd4KJBNVL5+uTw26moBAxdOJXk8XNVprGq2fpTOEjppE2bWixsJAOkl3YkF1j0zNKLGXeUFmA88GtS3uhu34aC8rafGqmI7MeOjBoF2W/B3ZQY5+SSjnlrbm05lYKFz5rakDmErUMHQ6ORUCAqyKQ10/Qpe1hOyuaa7lxojAcnCUXmbs/RkafYN98nJhdsptsKjILqLw2uhGSel5f081JuX0EnKxoKvEUVvNIMod7nCzLeEEYF7K818k8fEi1JN8N2STXVLBMo20IsCcKkawNRT1fs7vRS1sCDvQuiARBVpqHwRUMTeBbH2N/cLerfbtnw/mz6eEQuv75SwzPoxRsz39hkACKBg8VOD6IoGAL3U8EroI691NBgIU321mNByFfjxAUxyrQH5OMfLTKhR24PP0PRp/aIKu/dgVQff3RZe/USPkui1zHGq/rMGhb0dnQvOteCKaC/XYzc5d5GDueNnA2Qa/zrFy5E1eK9fPxGJIv7sFXFYRYuD5mcM+B/52lT1xxYJKG0A4pogvL0/s6NevLyJ3bltjDfWwtCtqmLGOShJNc3uSbBGnSUSxVIy6Vbw5tVbaTBzAyi5DSEcnzMvJxPAUe8hLunAXEfBj7s/bYeXI3ur2NOpmKpwUdg5go3ij2l2UbZPTf0yVE1CkMPxi1THqF/vMckDtAbgBA1CPLDIixd5s60bqPnrURDpUqSF4UBzgODVWwTQAt6tqDUA5joK1lxSdBqA/13p4yvzAMPVEom5JQmliMFFPBgQaKYFkeJkIhVaowwTb+fwusNicbQVtnySjjfY1+WuB+rrhFu5lhFkFsMueU8GWJpTkVMSLj9r1nrt20JFlFQj2I/KGvtUn2ccTRVtz5vPaLw6wx9L+kG/HpNpgx18nV1eUQWHnDHlOwhTCJPMdDe5RyzeYL33V8kpMkDGNfHUZnNBp7oDIhc8XGxnDvWBy0p4U3waCbw5jsAo45JIpEzrtBFJ14Ti4Fx4cnymudPnLoYS9NwmhohhgHPWwMOsjKWKGvqC2cMZRh4b3bEWKk0+FEI4iUAlEs7IRgmSt372wsEoVbb0uWI0hMulQ3IOm6WUXiYSn6P2fBrQt7JJFA0hXcCSUZmy7qld2bAcdxops0HBn1FXYlP4InKPxc1D0ywbF+McFdf33bAT/rKD5oUoBJQf3WexQzAgFoK8s2E7jRAsYiNyJ6yoiphZfn3R7Kaiuk5/foASy0Uqtww+ZMaHEyH20xFXtEk9i2KoxCgelwC84ABSBygcA72Ufx/cZbygPAVzs0RBXxhHRUhbMszcho5NZX4drM6I3yLrZ+4k9JciJq+YEYD8g5eG2jCD2N30TvXIRImRXW2AAw86O7wEQ7gEqMLt82jK+vIS6EKOKId5Xk+5fmTdXUgTlDgkFdvMyUm0UzmipGSFO97Tnqw/nxu6KDAdhuVDDUJGHM2+z7zqX1O1p4mPzdS6/+9egIro2D33xZGf7v5se50qcW/pG67+vLTyDGBFUFxqcPvIW8G2b8xzfiMbyGmQG4S8c8Vo/GN+L1CbhC66/B9Sf31ScFkMuE8JHsXx4bN8b2iA+iVwOXg6NMVmEZRoC6rl8VKzkJPsbX1OZ7iecZcxh78myk9F47y0QbJcHriOMqTB3lBivziD/4L+o5l7izsdU7u7gIePzqEkhtSUlF60q8Ji3Fnh9UqY0GFuekDSBxkf19UMe5d2kjDgVvajrNEwBsc17aq9GbijXqzd22xR5tFjAv9fMHnnnPLWVzfOKUvrn67QNt4r3rbwZUfYJNl59H+LrMCChxAYob+sWMja8gcNMD5LjxIZxisXJdSUkMPdIZ3QQunx9jbmIKiwgjhKHWksVCt1Ulzy+lIhN7/dKXnbkn0nTFTUH2+oxhKjX43DcI9lU1lXbRq8qayCrvmlqneIsrJmnaKH2lixWfyabZ6Q2kcYE1tln2Z2IUDNwyjvMJSfCTH0+LGIiehmAFgMxqiUH8XTcK0946P97urnI4YjQSIZOSWE6UHZFqjqKKuAKz8bu13Tg3kdKwq05b6phC4QWwfJtdQLMP5a4iylApan2QGFq7zV2rxbhpuVW4akvbzf6OFXh8e6VSYX9iOJ63bWOyeTfNCs7d8KvywvWHE1qk2/P7puM6TpGiT0yEROyWyx6FYiQYl4/JZCifzOcHiTbxGKZXffczJjPVX9zmlH798rXwhqwobtil/BOCbftxGhzjuKpIdOT5ll7fZ+q3fsyzYgLx0EHrtwWh9kC118teYgzrEyiu6K5n4AV57VxN+1Dd7SosLxN1vh/o1+4yXkBh5xJj7dIGW/yiOxjY1uzmzowebjwBwxLQFFZxmy9ty1TR9NSem23j4VB3JI5s0eq/5XnpP+A4+/14T/r0aqISCCWYRH6j1Ps16ck1LHzw9cyY6dDLCfActdrb1Ai9AlA5hsaeSuhxCTmeO9FuZkgmBN+4M9dNnsC98D93x3+7Pj1SBcxTyjdpTfM5GDRzTZeDOsg1ALTWs1GvsaFATL14+XAM/a99F8VyoVrB9OSw6NrlZlFMIpVTrIT2cYKC6XiB0w7C1nLVVrmnIMXwMhJjRbWxwh6+Zc9SIwtsmQazoAWM8jkb03VdC6bC5jkrT3b2IO5/iC56bt5F8H0UJCXcz2OD1WYeT+ZtlX3bbj4KHX6wR366uS/B+ep7Fk3uG5zcdl3a6XP+5O2rTl/RdynHKRnB9vzxjycuecueL0IsCJMMZxaT1bV7RcbD6dRDW+jb9sy8NY3+YBSK9cTIOpmY0hE5E770PCKLcXZRn8d5yRjf8AIhSo8Y+w6SshYax7b7vOIjUHKgGGcwjCBflroJxWrBZ2WIxRT52hO+DmhuhhEYafSaFLzUoRbnJue1ZhQtb2YFayG/kOtrzUe7b1A4lhGr5KnvYV3hnMWHaeGMkw1aQWRKqRoBySVZM20/Uqzan4rEU86x04waSYJSZK2vJRNeSGRi8yQUOmSViXEfG0jRLZ9zmeFDChmR84mmKZyQxEdGVccHjJrYsX0SWTKSOy8nJhroDnkR2ALbJ/RUZrnV+b9YE6WBN3BP+VC+8hQAioN8BxeyzHutVGicKYedEyTJDM2n0+crg35zREisv9Vrb3Kh1TfxabsczmcIU/pCE3naWteHz9RrT9qPR/nfyqt35+fG+p9XHIffuvX/OSh1eEGsYcQow0TDIFQcjALem6vfIcIHdEloUeaC8xUlwBhloQv/TmcGt/eAJ4BntyAFsTQKAPhA4ypKJYyJ5YANfuuMRkWRdB8hsB9JFD/Ha+rf+sWI6VuxenewvPuB6QmMJY5BkR2+Oj7uTMDkeCoyOcBdi1SWWBMVi/t+3qYsmhXXFGlAT+GTA//5z5kxcagAtXcm/bP/dDrmxArxjvbE7NjbFS+c9EoN0gguCGGapKxSWOGDDtekY13r8Mn0TeNCTCDcXOO1Rq9L+ucYtRXDdBTF6NqY+hk/HsfVEXUW87DIGr4wGZaLPnSF61Gew4PRB7z3zW7LFyV/R9thOWTv/MpTqw/MVp0ntfhcNHhrRX4NiUIUKUQuohVjR+DrdwAVIsvhAuUzX2L/CYCjlqk/arDnP4tcbjs7wI4PanTnemftUQMFma+gX7eHJBy3wN4fKORL2YEYRPYX39ngbH813Ty+yGPjKB17Xb4yP83RdRLJ/Pfm4KrEaysjNz7RIgdsJq48tEQlf0o57ybN4SToHwwU49XjQCIScSIxWBpL8BR9XWao4Gja41WHupd7/6+xaT5mtcPAxIE4NGtcSH3c6uUtCwL2qKyoahVtaR2PqkepulZE28vqzV2H0+ngjLEYaGyVXpC/GnUhBLcodWyHV91hX5jueb53e7HEj9d8srGnSJFAeSsZ9h2YzP8xy8Ed9E7ml9XCjX6AyJTMC8+7RGUPkChbTFyEYM19zMFJgjzTiUf9PtOSZsn4+fnHcvvVN12u1bJ32lu0H2h3tQdV8M3YtaV4c3MeUP+/DlZHIVh/q/i86v7zNPTO7O/AuhK72TQVPzGmfAQPQFuDBxYwtqqAJQxXbxc1+klNWPYttj2b7WcTTEr+KlcuM5D6shrO3j83/TipswvZYm1k28yJI7NZISk90SYUVVuaqklJmgFFWmoILZe6QoZqlG6hQZ/CasxDUafwof43+kd09xf40+oySTqHEJ91DuE/IYAsYlzYd1d5aA2l/MC+jrXzKC6mU2h+wyKtcC1E5i5CCcmxfzKsrjiuPYD5Y41h92S8f0+PcTzOku5iTMqefPxYSboXjxvSPY0ulx3u9ricvjbcrhyY15qb5+wfwxn/B+pBTwxxOcR7xLTfzUeg2z3tKcKKsCfU0gXd7Jzx4gBbLrmuSkzMDy3PwlcUcP78L3DhDbhBRWQU3vT/jbPi+W76CqD7/+66fWUNRUFXRPb8H/u5ARVfef8ydtMXwfKJXz/xhcxnqt02D/jfmUohRM637dv9SCimumbaRk3XKUwGVdr4l+4F8SdmjXlEwokcdTBe9GzbqoH1tG2o3zRizD77Soarp0jpAiOqjXFUrV2GhUbYdRUaK2lnL6KmafRNa6vDyp4LSXB83arwzH0CnvubV8/2IE4r//YiyIJJZAsfJ0aWIl8ESBbSaAlOyFqfgIqGYshyMatGk1lXcFwkIRgQwi2HTAiZ50fCa+xF8prrzK3Z12MyGk+Ghu6naTjut68NPz+vnpUsuWXVVhRLwWsVuOi377cSWy6C92+CV8NBdzatNkrSwpHjfdd5lrnZeJUsqrxxjSTMOLFEDFdIqp1UIWFGI7hiVakEkDFWjJvGpdnkKDK7nimhYg2MZDadyAcKALyv7Kus2Yd51y5f00m44zkSSa5aFcFIO1n3mVgnRAWfGDqPANoLo0s7fRVgYGbqkl/pnuMJEMAtt/fo8Fh5op7nbzjFvgTwwQ+tBwGAzz55vqUPOoFdHggAHwYAAb+6f8BNBtCoLNZOp/dPtUPM3uBdT1nDnbtg41N52Acd3U98JpzcwgdofKBwMSQb8V0g/N2HoBjKBkZ+iMIGfhuvwhDsMQn7GJmjZwZydQ1+1ymqF/Rb8hzLPEyvCrjO+fzJoCIHtsh1uvkcG6+pW0mzk1FRrUPm3fXMbtaAA6t+hnOeZH3RNHiZxs/b3DzlZSj4exrL0kLJs04xpN1co6N9zzaKvIE9niKP7o9F9Ry3vCM973LJQd3ifa0XYlR5eESJMG9yjBe3gl6tRpRROrkUOwTvgigKvLrKNNRAvlGUN8ssQJZJLjUD9yxGnMuscsnXb4h9kV1+H83mAcLc55jfyB1qYPu4sZ24m4NHYqi2Rfh2GL9OvMBTMNcXODhG5gJPPdyLj9RtjsGfG3O9ykMHiyAEbCGb3EZkANMQag/7SJAVM8xskRQg6zFu1Igu9C7cgjwxfKLGWCdx2gnZZRD54f4ps1zjlgqsw8IzRfDV47fVPKoZ93yLyDPI1oxpG8S2rnDJx9ztIg6M2HuBtHyyinVxkOYblvmpp1oIy7uY7U73KKOMsslyHFIPT2xFFuBeDVF+tu8anZVkOUiSaU5tGAvQ0RCuQgU8gRKogWbIgVbo6Lj6R0rNPFOFWypxTRKzMDDPft4hY5tWVCuA7zYxBPhJLJow1GVumJROaEsGhsjWdd98d0HYmbwLhpP6LhSOPu9CJfJgFxq1Jp0+6szYmUPBfpQAcRZoMtsBcdJpuIuHPlz3u4sHFiqUJ81E6fJlSxABaXrpIDVZuhQyZdHM0k1YpIQ7u8oSqYplK9JUCVspzpbHViH1zEhxpCDhIvdMuWRz3EaUdJmS05OsmNooLp1toQIEZ7Yc2HPiIVMGjcpt2SVi2Y8Dbmx/2k5spUlXxpW1TPYcuUnnwE2G+KorIWqqSEylK9+PvUebtUKt2vDfnmJdpWKXWhMc2XOgQIh2Ib1OQ7pqIVUoZ2ik3mf8lLprFHrxJgkypyUa2Sq7VArbxXSh/AxxR8/c0ukyHCSH4ah2FWNBuWErmGkvO2s5uv9+AlRdCcYlKXZLtUezMaTSWHpJJt1lV11jhWRN7robbrq1XUnGQcZ6E3pHpnsW27vZyVvOG5m00uqW5T437rdiT695CVDIPXCOAvlaBbZdHuyVEEWuxKZuE3Lh4XpolCkfhVIRo25/cntOUCFKpWo1qmxUa5+J3ok2idock01Rp0Gj+o1SLtsbR8WPJr6EOO2MddbjbciibGfy95YJkeM+++JrcIlIVGJQEpcEo+gxJbYT1SYSbc6ZRRcdl0/K0NdpPyUWtgRJvPk674IuBxx0yHY7nHQKDdNoOmabaZ655ps2PUmT6IXpTmCkixlaxoXjvRGHEcyZWSpZO7/xwBNIpVQJTvBCEKKQhCwUoQqNhfwt8EC/hx4ZCCHLZsy0tM/tWthVmBZn+zqysYi3YEFvWipXaPK6W7pn1ERL+tLI5rJSq453yjsUI3KpRon9WaS5cKTqGOhiHSe+R8xHYEts5nHjRWeeOl0k/49zIE+QlctUjz5VViHV8pNqCv8TPdKVfE97YVvHOkmUfEzOO9XjWArnp7OdqjJl6Zy+PuQo7OTMcEln3/xTr6u6Tcg1sUtuhSNWAA==) 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) format('woff2');}

.riplay-home{
  --ink:#0b0c0e;
  --ink-soft:#16181c;
  --ink-line:#2a2d33;
  --sand:#f1e7d6;
  --sand-deep:#e2d1ac;
  --sand-text:#1c1712;
  --amber:#e8a33c;
  --amber-deep:#a3650f;
  --teal:#0c7f98;
  --teal-bright:#2fd1e8;
  --white:#ffffff;
  --display:'Oswald',sans-serif;
  --body:'Lato',sans-serif;
}
.riplay-home,.riplay-home *{box-sizing:border-box;margin:0;padding:0;}
html{scroll-behavior:smooth;}
.riplay-home{
  background:var(--ink);
  color:var(--white);
  font-family:var(--body);
  font-size:16px;
  line-height:1.6;
  -webkit-font-smoothing:antialiased;
  overflow-x:hidden;
}
.riplay-home img{max-width:100%;display:block;}
.riplay-home a{color:inherit;text-decoration:none;}
.riplay-home .wrap{max-width:1240px;margin:0 auto;padding:0 32px;}
.riplay-home h1,.riplay-home h2,.riplay-home h3{font-family:var(--display);text-transform:uppercase;line-height:1.05;letter-spacing:.01em;}
.riplay-home .eyebrow{
  font-family:var(--display);
  font-weight:600;
  font-size:13px;
  letter-spacing:.22em;
  text-transform:uppercase;
  color:var(--amber);
  display:flex;align-items:center;gap:12px;
  margin-bottom:18px;
}
.riplay-home .eyebrow::before{content:"";width:28px;height:2px;background:var(--teal-bright);display:inline-block;}
.riplay-home .on-sand .eyebrow{color:var(--amber-deep);}
.riplay-home .on-sand .eyebrow::before{background:var(--teal);}
.riplay-home /* ---------- focus & motion ---------- */
a:focus-visible,.riplay-home button:focus-visible{outline:3px solid var(--teal-bright);outline-offset:3px;}
@media (prefers-reduced-motion:reduce){.riplay-home,.riplay-home *{animation-duration:0.001ms !important;animation-iteration-count:1 !important;transition-duration:0.001ms !important;scroll-behavior:auto !important;}}
.riplay-home .reveal{opacity:0;transform:translateY(24px);transition:opacity .7s ease,transform .7s ease;}
.riplay-home .reveal.in{opacity:1;transform:translateY(0);}
.riplay-home /* ---------- buttons ---------- */
.btn{
  display:inline-flex;align-items:center;gap:10px;
  font-family:var(--display);font-weight:600;font-size:14px;letter-spacing:.14em;text-transform:uppercase;
  padding:16px 28px;border-radius:2px;border:2px solid transparent;cursor:pointer;white-space:nowrap;
  transition:transform .2s ease, background .2s ease, border-color .2s ease, color .2s ease;
}
.riplay-home .btn:hover{transform:translateY(-2px);}
.riplay-home .btn-primary{background:var(--amber);color:var(--ink);}
.riplay-home .btn-primary:hover{background:var(--white);}
.riplay-home .btn-outline{border-color:rgba(255,255,255,.5);color:var(--white);}
.riplay-home .btn-outline:hover{border-color:var(--white);background:rgba(255,255,255,.08);}
.riplay-home .on-sand .btn-outline{border-color:rgba(28,23,18,.4);color:var(--sand-text);}
.riplay-home .on-sand .btn-outline:hover{border-color:var(--sand-text);background:rgba(28,23,18,.06);}
.riplay-home .btn-arrow{font-family:var(--display);font-weight:600;font-size:13px;letter-spacing:.14em;text-transform:uppercase;color:var(--teal-bright);display:inline-flex;align-items:center;gap:8px;}
.riplay-home .on-sand .btn-arrow{color:var(--teal);}
.riplay-home .btn-arrow svg{transition:transform .2s ease;}
.riplay-home .btn-arrow:hover svg{transform:translateX(6px);}
.riplay-home /* ---------- nav ---------- */
header{position:fixed;top:0;left:0;right:0;z-index:100;padding:18px 0;transition:background .3s ease,padding .3s ease,box-shadow .3s ease;}
.riplay-home header.scrolled{background:rgba(11,12,14,.92);backdrop-filter:blur(10px);padding:12px 0;box-shadow:0 8px 24px rgba(0,0,0,.35);}
.riplay-home nav{display:flex;align-items:center;justify-content:space-between;gap:24px;}
.riplay-home .brand{display:flex;align-items:center;gap:10px;}
.riplay-home .brand img{height:34px;width:auto;}
.riplay-home .brand-word{font-family:var(--display);font-weight:700;font-size:19px;letter-spacing:.06em;}
.riplay-home .brand-word span{color:var(--amber);}
.riplay-home .nav-links{display:flex;align-items:center;gap:30px;}
.riplay-home .nav-links a{font-family:var(--display);font-weight:500;font-size:13px;letter-spacing:.1em;text-transform:uppercase;opacity:.88;transition:opacity .2s ease, color .2s ease;position:relative;}
.riplay-home .nav-links a:hover{opacity:1;color:var(--teal-bright);}
.riplay-home .nav-cta{display:flex;align-items:center;gap:14px;}
.riplay-home .pill-franchise{
  font-family:var(--display);font-weight:600;font-size:12px;letter-spacing:.12em;text-transform:uppercase;
  border:1px solid rgba(255,255,255,.35);padding:9px 16px;border-radius:999px;transition:all .2s ease;
}
.riplay-home .pill-franchise:hover{border-color:var(--amber);color:var(--amber);}
.riplay-home .nav-toggle{display:none;background:none;border:0;color:var(--white);cursor:pointer;padding:6px;}
.riplay-home .nav-mobile{display:none;}
@media(max-width:980px){.riplay-home .nav-links,.riplay-home .nav-cta .btn,.riplay-home .pill-franchise{display:none;}
.riplay-home .nav-toggle{display:block;}
.riplay-home .nav-mobile.open{display:flex;}
.riplay-home .nav-mobile{
    display:none;position:fixed;inset:0;top:0;background:var(--ink);
    flex-direction:column;padding:100px 32px 40px;gap:6px;z-index:99;
  }
.riplay-home .nav-mobile a{font-family:var(--display);font-size:22px;text-transform:uppercase;padding:14px 0;border-bottom:1px solid var(--ink-line);}
.riplay-home .nav-mobile .btn{margin-top:20px;width:100%;justify-content:center;white-space:normal;text-align:center;font-size:13px;letter-spacing:.08em;padding:16px 12px;}}
@media(max-width:400px){.riplay-home .btn{font-size:12px;letter-spacing:.06em;padding:15px 18px;white-space:normal;text-align:center;}}
.riplay-home /* ---------- hero ---------- */
.hero{
  position:relative;min-height:100vh;display:flex;align-items:flex-end;
  background:var(--ink);
  padding:160px 0 110px;
  overflow:hidden;
}
.riplay-home .hero-prism-bg{position:absolute;inset:0;z-index:0;}
.riplay-home .hero-photo-bg{
  position:absolute;inset:0;z-index:1;pointer-events:none;
  background:var(--img) center/cover no-repeat;
  opacity:.7;mix-blend-mode:overlay;
}
.riplay-home .hero-scrim{
  position:absolute;inset:0;z-index:2;pointer-events:none;
  background:linear-gradient(180deg,rgba(9,10,11,.15) 0%,rgba(9,10,11,.4) 45%,rgba(9,10,11,.97) 96%);
}
.riplay-home .hero-inner{position:relative;z-index:3;max-width:820px;}
.riplay-home .hero h1{font-size:clamp(40px,6.4vw,84px);font-weight:700;margin:16px 0 22px;}
.riplay-home .hero h1 em{font-style:normal;color:var(--amber);}
.riplay-home .hero p{font-size:18px;max-width:560px;color:rgba(255,255,255,.85);margin-bottom:36px;}
.riplay-home .hero-ctas{display:flex;gap:16px;flex-wrap:wrap;}
.riplay-home .scroll-cue{position:absolute;z-index:3;bottom:28px;left:50%;transform:translateX(-50%);display:flex;flex-direction:column;align-items:center;gap:8px;opacity:.7;}
.riplay-home .scroll-cue span{font-family:var(--display);font-size:11px;letter-spacing:.2em;text-transform:uppercase;}
.riplay-home .scroll-cue .line{width:1px;height:34px;background:linear-gradient(var(--amber),transparent);animation:riplayCueMove 1.8s ease-in-out infinite;}
@keyframes riplayCueMove{0%,100%{opacity:.3}50%{opacity:1}}
.riplay-home /* ---------- section shell + diagonal seam signature ---------- */
section{position:relative;padding:150px 0 130px;}
.riplay-home .on-ink{background:var(--ink);color:var(--white);}
.riplay-home .on-sand{background:var(--sand);color:var(--sand-text);}
.riplay-home .on-sober{background:#14181d;color:var(--white);}
.riplay-home .seam-top{position:absolute;top:-1px;left:0;width:100%;height:90px;overflow:hidden;line-height:0;}
.riplay-home .seam-top svg{width:100%;height:100%;display:block;}
.riplay-home h2.title{font-size:clamp(30px,4vw,50px);font-weight:700;margin-bottom:20px;max-width:640px;}
.riplay-home .lede{font-size:17px;max-width:600px;color:rgba(255,255,255,.72);}
.riplay-home .on-sand .lede{color:rgba(28,23,18,.72);}
.riplay-home .section-head{margin-bottom:64px;}
.riplay-home /* ---------- stat ticker ---------- */
.stat-ticker{display:flex;flex-wrap:wrap;gap:0;margin:56px 0 68px;border-top:1px solid var(--sand-deep);border-bottom:1px solid var(--sand-deep);}
.riplay-home .stat{flex:1 1 200px;padding:26px 24px;border-right:1px solid var(--sand-deep);}
.riplay-home .stat:last-child{border-right:none;}
.riplay-home .stat b{display:block;font-family:var(--display);font-size:clamp(30px,3vw,42px);font-weight:700;font-variant-numeric:tabular-nums;color:var(--amber-deep);}
.riplay-home .stat span{font-size:13px;letter-spacing:.03em;color:rgba(28,23,18,.65);}
.riplay-home /* ---------- diferenciais ---------- */
.diff-grid{display:grid;grid-template-columns:repeat(3,1fr);gap:2px;background:var(--sand-deep);border:1px solid var(--sand-deep);}
.riplay-home .diff-card{background:var(--sand);padding:34px 30px;}
.riplay-home .diff-card .num{font-family:var(--display);font-size:13px;letter-spacing:.14em;color:var(--teal);margin-bottom:16px;}
.riplay-home .diff-card h3{font-size:19px;text-transform:none;letter-spacing:0;margin-bottom:10px;font-weight:700;}
.riplay-home .diff-card p{font-size:15px;color:rgba(28,23,18,.72);}
.riplay-home /* ---------- modalidades ---------- */
.modal-grid{display:grid;grid-template-columns:repeat(4,1fr);gap:2px;}
.riplay-home .modal-card{position:relative;aspect-ratio:3/4;overflow:hidden;background:#000;}
.riplay-home .modal-card img{width:100%;height:100%;object-fit:cover;transition:transform .5s ease;}
.riplay-home .modal-card:hover img{transform:scale(1.06);}
.riplay-home .modal-card::after{content:"";position:absolute;inset:0;background:linear-gradient(180deg,transparent 40%,rgba(0,0,0,.88) 100%);}
.riplay-home .modal-label{position:absolute;left:0;right:0;bottom:0;padding:20px;z-index:2;}
.riplay-home .modal-label .kicker{font-family:var(--display);font-size:11px;letter-spacing:.16em;color:var(--teal-bright);margin-bottom:6px;display:block;}
.riplay-home .modal-label h3{font-size:22px;font-weight:700;margin-bottom:6px;}
.riplay-home .modal-label p{font-size:13px;color:rgba(255,255,255,.7);}
.riplay-home .section-foot{margin-top:44px;display:flex;justify-content:center;}
.riplay-home /* ---------- split (image+text) sections ---------- */
.split{display:grid;grid-template-columns:1.05fr .95fr;gap:70px;align-items:center;}
.riplay-home .split.reverse{grid-template-columns:.95fr 1.05fr;}
.riplay-home .split.reverse .split-media{order:2;}
.riplay-home .split-media{position:relative;}
.riplay-home .split-media img{border-radius:2px;width:100%;object-fit:cover;}
.riplay-home .split-media.tall img{aspect-ratio:4/5;}
.riplay-home .split-media .tag{position:absolute;bottom:-18px;left:-18px;background:var(--amber);color:var(--ink);font-family:var(--display);font-weight:700;font-size:13px;letter-spacing:.08em;text-transform:uppercase;padding:14px 20px;}
.riplay-home .on-sand .split-media .tag{background:var(--ink);color:var(--sand);}
.riplay-home .split-copy p{margin-bottom:16px;}
.riplay-home .split-copy .btn-arrow{margin-top:10px;}
.riplay-home /* ---------- unidades ---------- */
.city-chips{display:flex;flex-wrap:wrap;gap:14px;margin:30px 0 40px;}
.riplay-home .city-chip{border:1px solid var(--sand-deep);padding:12px 20px;font-family:var(--display);font-size:13px;letter-spacing:.06em;text-transform:uppercase;border-radius:999px;}
.riplay-home /* ---------- franqueado (sober) ---------- */
.franq{position:relative;padding:150px 0;}
.riplay-home .franq-bg{position:absolute;inset:0;background:var(--img) center/cover no-repeat;opacity:.22;}
.riplay-home .franq-inner{position:relative;z-index:2;max-width:640px;}
.riplay-home .franq .label{font-family:var(--display);font-size:12px;letter-spacing:.28em;color:rgba(255,255,255,.55);margin-bottom:20px;}
.riplay-home .franq h2{font-size:clamp(28px,3.4vw,44px);font-weight:600;margin-bottom:22px;letter-spacing:0;text-transform:none;}
.riplay-home .franq p{color:rgba(255,255,255,.7);font-size:16px;margin-bottom:34px;max-width:520px;}
.riplay-home .franq .btn-outline{border-color:var(--amber);color:var(--amber);}
.riplay-home .franq .btn-outline:hover{background:var(--amber);color:var(--ink);}
.riplay-home /* ---------- contato + loja ---------- */
.cl-grid{display:grid;grid-template-columns:1fr 1fr;gap:2px;background:var(--ink-line);border:1px solid var(--ink-line);}
.riplay-home .cl-card{background:var(--ink);padding:56px 48px;}
.riplay-home .cl-card h3{font-size:28px;font-weight:700;margin-bottom:14px;}
.riplay-home .cl-card p{color:rgba(255,255,255,.68);margin-bottom:28px;max-width:400px;}
.riplay-home /* ---------- footer ---------- */
footer{background:#000;padding:80px 0 30px;border-top:1px solid var(--ink-line);}
.riplay-home .foot-grid{display:grid;grid-template-columns:1.4fr 1fr 1fr 1fr;gap:40px;padding-bottom:60px;}
.riplay-home .foot-brand img{height:40px;margin-bottom:14px;}
.riplay-home .foot-brand p{color:rgba(255,255,255,.5);font-size:14px;max-width:260px;}
.riplay-home .foot-col h4{font-family:var(--display);font-size:13px;letter-spacing:.14em;text-transform:uppercase;color:var(--amber);margin-bottom:18px;}
.riplay-home .foot-col a,.riplay-home .foot-col li{display:block;color:rgba(255,255,255,.6);font-size:14px;margin-bottom:11px;list-style:none;}
.riplay-home .foot-col a:hover{color:var(--white);}
.riplay-home .foot-social{display:flex;gap:14px;margin-top:8px;}
.riplay-home .foot-social a{width:38px;height:38px;border:1px solid var(--ink-line);border-radius:999px;display:flex;align-items:center;justify-content:center;transition:border-color .2s ease,color .2s ease;}
.riplay-home .foot-social a:hover{border-color:var(--amber);color:var(--amber);}
.riplay-home .foot-bottom{border-top:1px solid var(--ink-line);padding-top:26px;display:flex;justify-content:space-between;flex-wrap:wrap;gap:12px;color:rgba(255,255,255,.4);font-size:13px;}
@media(max-width:900px){.riplay-home .diff-grid,.riplay-home .modal-grid{grid-template-columns:repeat(2,1fr);}
.riplay-home .split,.riplay-home .split.reverse{grid-template-columns:1fr;gap:36px;}
.riplay-home .split.reverse .split-media{order:0;}
.riplay-home .cl-grid{grid-template-columns:1fr;}
.riplay-home .foot-grid{grid-template-columns:1fr 1fr;}
.riplay-home section{padding:100px 0 90px;}
.riplay-home .hero{padding:140px 0 90px;}}
@media(max-width:560px){.riplay-home .diff-grid,.riplay-home .modal-grid{grid-template-columns:1fr;}
.riplay-home .stat-ticker{border:none;}
.riplay-home .stat{flex:1 1 50%;border:1px solid var(--sand-deep);}
.riplay-home .foot-grid{grid-template-columns:1fr;}
.riplay-home .wrap{padding:0 20px;}}
.riplay-home .reveal{opacity:1;transform:none;}

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s=2;this.attributes.index?.type===this.gl.UNSIGNED_INT&&(s=4),this.isInstanced?this.attributes.index?this.gl.renderer.drawElementsInstanced(r,this.drawRange.count,this.attributes.index.type,this.attributes.index.offset+this.drawRange.start*s,this.instancedCount):this.gl.renderer.drawArraysInstanced(r,this.drawRange.start,this.drawRange.count,this.instancedCount):this.attributes.index?this.gl.drawElements(r,this.drawRange.count,this.attributes.index.type,this.attributes.index.offset+this.drawRange.start*s):this.gl.drawArrays(r,this.drawRange.start,this.drawRange.count)}getPosition(){let t=this.attributes.position;if(t.data)return t;if(!Lt)return console.warn("No position buffer data found to compute bounds"),Lt=!0}computeBoundingBox(t){t||(t=this.getPosition());let r=t.data,s=t.size;this.bounds||(this.bounds={min:new V,max:new V,center:new V,scale:new V,radius:1/0});let i=this.bounds.min,n=this.bounds.max,h=this.bounds.center,a=this.bounds.scale;i.set(1/0),n.set(-1/0);for(let l=0,c=r.length;l<c;l+=s){let f=r[l],d=r[l+1],p=r[l+2];i.x=Math.min(f,i.x),i.y=Math.min(d,i.y),i.z=Math.min(p,i.z),n.x=Math.max(f,n.x),n.y=Math.max(d,n.y),n.z=Math.max(p,n.z)}a.sub(n,i),h.add(i,n).divide(2)}computeBoundingSphere(t){t||(t=this.getPosition());let r=t.data,s=t.size;this.bounds||this.computeBoundingBox(t);let i=0;for(let n=0,h=r.length;n<h;n+=s)Tt.fromArray(r,n),i=Math.max(i,this.bounds.center.squaredDistance(Tt));this.bounds.radius=Math.sqrt(i)}remove(){for(let t in this.VAOs)this.gl.renderer.deleteVertexArray(this.VAOs[t]),delete this.VAOs[t];for(let t in this.attributes)this.gl.deleteBuffer(this.attributes[t].buffer),delete this.attributes[t]}}});function rt(e,t,r,s){s=s.length?ke(s):s;let i=e.renderer.state.uniformLocations.get(r);if(s.length)if(i===void 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Vertex Shader
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a=this.gl.getActiveAttrib(this.program,h),l=this.gl.getAttribLocation(this.program,a.name);l!==-1&&(i[l]=a.name,this.attributeLocations.set(a,l))}this.attributeOrder=i.join("")}setBlendFunc(t,r,s,i){this.blendFunc.src=t,this.blendFunc.dst=r,this.blendFunc.srcAlpha=s,this.blendFunc.dstAlpha=i,t&&(this.transparent=!0)}setBlendEquation(t,r){this.blendEquation.modeRGB=t,this.blendEquation.modeAlpha=r}setStencilFunc(t,r,s){this.stencilRef=r,this.stencilFunc.func=t,this.stencilFunc.ref=r,this.stencilFunc.mask=s}setStencilOp(t,r,s){this.stencilOp.stencilFail=t,this.stencilOp.depthFail=r,this.stencilOp.depthPass=s}applyState(){this.depthTest?this.gl.renderer.enable(this.gl.DEPTH_TEST):this.gl.renderer.disable(this.gl.DEPTH_TEST),this.cullFace?this.gl.renderer.enable(this.gl.CULL_FACE):this.gl.renderer.disable(this.gl.CULL_FACE),this.blendFunc.src?this.gl.renderer.enable(this.gl.BLEND):this.gl.renderer.disable(this.gl.BLEND),this.cullFace&&this.gl.renderer.setCullFace(this.cullFace),this.gl.renderer.setFrontFace(this.frontFace),this.gl.renderer.setDepthMask(this.depthWrite),this.gl.renderer.setDepthFunc(this.depthFunc),this.blendFunc.src&&this.gl.renderer.setBlendFunc(this.blendFunc.src,this.blendFunc.dst,this.blendFunc.srcAlpha,this.blendFunc.dstAlpha),this.gl.renderer.setBlendEquation(this.blendEquation.modeRGB,this.blendEquation.modeAlpha),this.stencilFunc.func||this.stencilOp.stencilFail?this.gl.renderer.enable(this.gl.STENCIL_TEST):this.gl.renderer.disable(this.gl.STENCIL_TEST),this.gl.renderer.setStencilFunc(this.stencilFunc.func,this.stencilFunc.ref,this.stencilFunc.mask),this.gl.renderer.setStencilOp(this.stencilOp.stencilFail,this.stencilOp.depthFail,this.stencilOp.depthPass)}use({flipFaces:t=!1}={}){let r=-1;this.gl.renderer.state.currentProgram===this.id||(this.gl.useProgram(this.program),this.gl.renderer.state.currentProgram=this.id),this.uniformLocations.forEach((i,n)=>{let h=this.uniforms[n.uniformName];for(let a of n.nameComponents){if(!h)break;if(a in h)h=h[a];else{if(Array.isArray(h.value))break;h=void 0;break}}if(!h)return vt(`Active uniform ${n.name} has not been supplied`);if(h&&h.value===void 0)return vt(`${n.name} uniform is missing a value parameter`);if(h.value.texture)return r=r+1,h.value.update(r),rt(this.gl,n.type,i,r);if(h.value.length&&h.value[0].texture){let a=[];return h.value.forEach(l=>{r=r+1,l.update(r),a.push(r)}),rt(this.gl,n.type,i,a)}rt(this.gl,n.type,i,h.value)}),this.applyState(),t&&this.gl.renderer.setFrontFace(this.frontFace===this.gl.CCW?this.gl.CW:this.gl.CCW)}remove(){this.gl.deleteProgram(this.program)}};st=0});var it,Ze,P,Bt=S(()=>{Q();it=new V,Ze=1,P=class{constructor({canvas:t=document.createElement("canvas"),width:r=300,height:s=150,dpr:i=1,alpha:n=!1,depth:h=!0,stencil:a=!1,antialias:l=!1,premultipliedAlpha:c=!1,preserveDrawingBuffer:f=!1,powerPreference:d="default",autoClear:p=!0,webgl:o=2}={}){let g={alpha:n,depth:h,stencil:a,antialias:l,premultipliedAlpha:c,preserveDrawingBuffer:f,powerPreference:d};this.dpr=i,this.alpha=n,this.color=!0,this.depth=h,this.stencil=a,this.premultipliedAlpha=c,this.autoClear=p,this.id=Ze++,o===2&&(this.gl=t.getContext("webgl2",g)),this.isWebgl2=!!this.gl,this.gl||(this.gl=t.getContext("webgl",g)),this.gl||console.error("unable to create webgl context"),this.gl.renderer=this,this.setSize(r,s),this.state={},this.state.blendFunc={src:this.gl.ONE,dst:this.gl.ZERO},this.state.blendEquation={modeRGB:this.gl.FUNC_ADD},this.state.cullFace=!1,this.state.frontFace=this.gl.CCW,this.state.depthMask=!0,this.state.depthFunc=this.gl.LEQUAL,this.state.premultiplyAlpha=!1,this.state.flipY=!1,this.state.unpackAlignment=4,this.state.framebuffer=null,this.state.viewport={x:0,y:0,width:null,height:null},this.state.textureUnits=[],this.state.activeTextureUnit=0,this.state.boundBuffer=null,this.state.uniformLocations=new Map,this.state.currentProgram=null,this.extensions={},this.isWebgl2?(this.getExtension("EXT_color_buffer_float"),this.getExtension("OES_texture_float_linear")):(this.getExtension("OES_texture_float"),this.getExtension("OES_texture_float_linear"),this.getExtension("OES_texture_half_float"),this.getExtension("OES_texture_half_float_linear"),this.getExtension("OES_element_index_uint"),this.getExtension("OES_standard_derivatives"),this.getExtension("EXT_sRGB"),this.getExtension("WEBGL_depth_texture"),this.getExtension("WEBGL_draw_buffers")),this.getExtension("WEBGL_compressed_texture_astc"),this.getExtension("EXT_texture_compression_bptc"),this.getExtension("WEBGL_compressed_texture_s3tc"),this.getExtension("WEBGL_compressed_texture_etc1"),this.getExtension("WEBGL_compressed_texture_pvrtc"),this.getExtension("WEBKIT_WEBGL_compressed_texture_pvrtc"),this.vertexAttribDivisor=this.getExtension("ANGLE_instanced_arrays","vertexAttribDivisor","vertexAttribDivisorANGLE"),this.drawArraysInstanced=this.getExtension("ANGLE_instanced_arrays","drawArraysInstanced","drawArraysInstancedANGLE"),this.drawElementsInstanced=this.getExtension("ANGLE_instanced_arrays","drawElementsInstanced","drawElementsInstancedANGLE"),this.createVertexArray=this.getExtension("OES_vertex_array_object","createVertexArray","createVertexArrayOES"),this.bindVertexArray=this.getExtension("OES_vertex_array_object","bindVertexArray","bindVertexArrayOES"),this.deleteVertexArray=this.getExtension("OES_vertex_array_object","deleteVertexArray","deleteVertexArrayOES"),this.drawBuffers=this.getExtension("WEBGL_draw_buffers","drawBuffers","drawBuffersWEBGL"),this.parameters={},this.parameters.maxTextureUnits=this.gl.getParameter(this.gl.MAX_COMBINED_TEXTURE_IMAGE_UNITS),this.parameters.maxAnisotropy=this.getExtension("EXT_texture_filter_anisotropic")?this.gl.getParameter(this.getExtension("EXT_texture_filter_anisotropic").MAX_TEXTURE_MAX_ANISOTROPY_EXT):0}setSize(t,r){this.width=t,this.height=r,this.gl.canvas.width=t*this.dpr,this.gl.canvas.height=r*this.dpr,this.gl.canvas.style&&Object.assign(this.gl.canvas.style,{width:t+"px",height:r+"px"})}setViewport(t,r,s=0,i=0){this.state.viewport.width===t&&this.state.viewport.height===r||(this.state.viewport.width=t,this.state.viewport.height=r,this.state.viewport.x=s,this.state.viewport.y=i,this.gl.viewport(s,i,t,r))}setScissor(t,r,s=0,i=0){this.gl.scissor(s,i,t,r)}enable(t){this.state[t]!==!0&&(this.gl.enable(t),this.state[t]=!0)}disable(t){this.state[t]!==!1&&(this.gl.disable(t),this.state[t]=!1)}setBlendFunc(t,r,s,i){this.state.blendFunc.src===t&&this.state.blendFunc.dst===r&&this.state.blendFunc.srcAlpha===s&&this.state.blendFunc.dstAlpha===i||(this.state.blendFunc.src=t,this.state.blendFunc.dst=r,this.state.blendFunc.srcAlpha=s,this.state.blendFunc.dstAlpha=i,s!==void 0?this.gl.blendFuncSeparate(t,r,s,i):this.gl.blendFunc(t,r))}setBlendEquation(t,r){t=t||this.gl.FUNC_ADD,!(this.state.blendEquation.modeRGB===t&&this.state.blendEquation.modeAlpha===r)&&(this.state.blendEquation.modeRGB=t,this.state.blendEquation.modeAlpha=r,r!==void 0?this.gl.blendEquationSeparate(t,r):this.gl.blendEquation(t))}setCullFace(t){this.state.cullFace!==t&&(this.state.cullFace=t,this.gl.cullFace(t))}setFrontFace(t){this.state.frontFace!==t&&(this.state.frontFace=t,this.gl.frontFace(t))}setDepthMask(t){this.state.depthMask!==t&&(this.state.depthMask=t,this.gl.depthMask(t))}setDepthFunc(t){this.state.depthFunc!==t&&(this.state.depthFunc=t,this.gl.depthFunc(t))}setStencilMask(t){this.state.stencilMask!==t&&(this.state.stencilMask=t,this.gl.stencilMask(t))}setStencilFunc(t,r,s){this.state.stencilFunc===t&&this.state.stencilRef===r&&this.state.stencilFuncMask===s||(this.state.stencilFunc=t||this.gl.ALWAYS,this.state.stencilRef=r||0,this.state.stencilFuncMask=s||0,this.gl.stencilFunc(t||this.gl.ALWAYS,r||0,s||0))}setStencilOp(t,r,s){this.state.stencilFail===t&&this.state.stencilDepthFail===r&&this.state.stencilDepthPass===s||(this.state.stencilFail=t,this.state.stencilDepthFail=r,this.state.stencilDepthPass=s,this.gl.stencilOp(t,r,s))}activeTexture(t){this.state.activeTextureUnit!==t&&(this.state.activeTextureUnit=t,this.gl.activeTexture(this.gl.TEXTURE0+t))}bindFramebuffer({target:t=this.gl.FRAMEBUFFER,buffer:r=null}={}){this.state.framebuffer!==r&&(this.state.framebuffer=r,this.gl.bindFramebuffer(t,r))}getExtension(t,r,s){return r&&this.gl[r]?this.gl[r].bind(this.gl):(this.extensions[t]||(this.extensions[t]=this.gl.getExtension(t)),r?this.extensions[t]?this.extensions[t][s].bind(this.extensions[t]):null:this.extensions[t])}sortOpaque(t,r){return t.renderOrder!==r.renderOrder?t.renderOrder-r.renderOrder:t.program.id!==r.program.id?t.program.id-r.program.id:t.zDepth!==r.zDepth?t.zDepth-r.zDepth:r.id-t.id}sortTransparent(t,r){return t.renderOrder!==r.renderOrder?t.renderOrder-r.renderOrder:t.zDepth!==r.zDepth?r.zDepth-t.zDepth:r.id-t.id}sortUI(t,r){return t.renderOrder!==r.renderOrder?t.renderOrder-r.renderOrder:t.program.id!==r.program.id?t.program.id-r.program.id:r.id-t.id}getRenderList({scene:t,camera:r,frustumCull:s,sort:i}){let n=[];if(r&&s&&r.updateFrustum(),t.traverse(h=>{if(!h.visible)return!0;h.draw&&(s&&h.frustumCulled&&r&&!r.frustumIntersectsMesh(h)||n.push(h))}),i){let h=[],a=[],l=[];n.forEach(c=>{c.program.transparent?c.program.depthTest?a.push(c):l.push(c):h.push(c),c.zDepth=0,!(c.renderOrder!==0||!c.program.depthTest||!r)&&(c.worldMatrix.getTranslation(it),it.applyMatrix4(r.projectionViewMatrix),c.zDepth=it.z)}),h.sort(this.sortOpaque),a.sort(this.sortTransparent),l.sort(this.sortUI),n=h.concat(a,l)}return n}render({scene:t,camera:r,target:s=null,update:i=!0,sort:n=!0,frustumCull:h=!0,clear:a}){s===null?(this.bindFramebuffer(),this.setViewport(this.width*this.dpr,this.height*this.dpr)):(this.bindFramebuffer(s),this.setViewport(s.width,s.height)),(a||this.autoClear&&a!==!1)&&(this.depth&&(!s||s.depth)&&(this.enable(this.gl.DEPTH_TEST),this.setDepthMask(!0)),(this.stencil||!s||s.stencil)&&(this.enable(this.gl.STENCIL_TEST),this.setStencilMask(255)),this.gl.clear((this.color?this.gl.COLOR_BUFFER_BIT:0)|(this.depth?this.gl.DEPTH_BUFFER_BIT:0)|(this.stencil?this.gl.STENCIL_BUFFER_BIT:0))),i&&t.updateMatrixWorld(),r&&r.updateMatrixWorld(),this.getRenderList({scene:t,camera:r,frustumCull:h,sort:n}).forEach(c=>{c.draw({camera:r})})}}});function Pt(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e}function Dt(e,t,r,s,i){return e[0]=t,e[1]=r,e[2]=s,e[3]=i,e}function Nt(e,t){let r=t[0],s=t[1],i=t[2],n=t[3],h=r*r+s*s+i*i+n*n;return 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i=t[0],n=t[1],h=t[2],a=t[3],l=r[0],c=r[1],f=r[2],d=r[3],p,o,g,x,u;return o=i*l+n*c+h*f+a*d,o<0&&(o=-o,l=-l,c=-c,f=-f,d=-d),1-o>1e-6?(p=Math.acos(o),g=Math.sin(p),x=Math.sin((1-s)*p)/g,u=Math.sin(s*p)/g):(x=1-s,u=s),e[0]=x*i+u*l,e[1]=x*n+u*c,e[2]=x*h+u*f,e[3]=x*a+u*d,e}function Zt(e,t){let r=t[0],s=t[1],i=t[2],n=t[3],h=r*r+s*s+i*i+n*n,a=h?1/h:0;return e[0]=-r*a,e[1]=-s*a,e[2]=-i*a,e[3]=n*a,e}function jt(e,t){return e[0]=-t[0],e[1]=-t[1],e[2]=-t[2],e[3]=t[3],e}function Ht(e,t){let r=t[0]+t[4]+t[8],s;if(r>0)s=Math.sqrt(r+1),e[3]=.5*s,s=.5/s,e[0]=(t[5]-t[7])*s,e[1]=(t[6]-t[2])*s,e[2]=(t[1]-t[3])*s;else{let i=0;t[4]>t[0]&&(i=1),t[8]>t[i*3+i]&&(i=2);let n=(i+1)%3,h=(i+2)%3;s=Math.sqrt(t[i*3+i]-t[n*3+n]-t[h*3+h]+1),e[i]=.5*s,s=.5/s,e[3]=(t[n*3+h]-t[h*3+n])*s,e[n]=(t[n*3+i]+t[i*3+n])*s,e[h]=(t[h*3+i]+t[i*3+h])*s}return e}function $t(e,t,r="YXZ"){let s=Math.sin(t[0]*.5),i=Math.cos(t[0]*.5),n=Math.sin(t[1]*.5),h=Math.cos(t[1]*.5),a=Math.sin(t[2]*.5),l=Math.cos(t[2]*.5);return r==="XYZ"?(e[0]=s*h*l+i*n*a,e[1]=i*n*l-s*h*a,e[2]=i*h*a+s*n*l,e[3]=i*h*l-s*n*a):r==="YXZ"?(e[0]=s*h*l+i*n*a,e[1]=i*n*l-s*h*a,e[2]=i*h*a-s*n*l,e[3]=i*h*l+s*n*a):r==="ZXY"?(e[0]=s*h*l-i*n*a,e[1]=i*n*l+s*h*a,e[2]=i*h*a+s*n*l,e[3]=i*h*l-s*n*a):r==="ZYX"?(e[0]=s*h*l-i*n*a,e[1]=i*n*l+s*h*a,e[2]=i*h*a-s*n*l,e[3]=i*h*l+s*n*a):r==="YZX"?(e[0]=s*h*l+i*n*a,e[1]=i*n*l+s*h*a,e[2]=i*h*a-s*n*l,e[3]=i*h*l-s*n*a):r==="XZY"&&(e[0]=s*h*l-i*n*a,e[1]=i*n*l-s*h*a,e[2]=i*h*a+s*n*l,e[3]=i*h*l+s*n*a),e}var Kt,Jt,te,ee,re=S(()=>{Ut();Kt=Pt,Jt=Dt,te=qt,ee=Nt});var k,se=S(()=>{re();k=class extends Array{constructor(t=0,r=0,s=0,i=1){super(t,r,s,i),this.onChange=()=>{},this._target=this;let n=["0","1","2","3"];return new Proxy(this,{set(h,a){let l=Reflect.set(...arguments);return l&&n.includes(a)&&h.onChange(),l}})}get x(){return this[0]}get y(){return this[1]}get z(){return this[2]}get w(){return this[3]}set x(t){this._target[0]=t,this.onChange()}set y(t){this._target[1]=t,this.onChange()}set z(t){this._target[2]=t,this.onChange()}set w(t){this._target[3]=t,this.onChange()}identity(){return Gt(this._target),this.onChange(),this}set(t,r,s,i){return t.length?this.copy(t):(Jt(this._target,t,r,s,i),this.onChange(),this)}rotateX(t){return Xt(this._target,this._target,t),this.onChange(),this}rotateY(t){return kt(this._target,this._target,t),this.onChange(),this}rotateZ(t){return Wt(this._target,this._target,t),this.onChange(),this}inverse(t=this._target){return Zt(this._target,t),this.onChange(),this}conjugate(t=this._target){return jt(this._target,t),this.onChange(),this}copy(t){return Kt(this._target,t),this.onChange(),this}normalize(t=this._target){return ee(this._target,t),this.onChange(),this}multiply(t,r){return r?nt(this._target,t,r):nt(this._target,this._target,t),this.onChange(),this}dot(t){return te(this._target,t)}fromMatrix3(t){return Ht(this._target,t),this.onChange(),this}fromEuler(t,r){return $t(this._target,t,t.order),r||this.onChange(),this}fromAxisAngle(t,r){return Qt(this._target,t,r),this.onChange(),this}slerp(t,r){return Yt(this._target,this._target,t,r),this.onChange(),this}fromArray(t,r=0){return this._target[0]=t[r],this._target[1]=t[r+1],this._target[2]=t[r+2],this._target[3]=t[r+3],this.onChange(),this}toArray(t=[],r=0){return t[r]=this[0],t[r+1]=this[1],t[r+2]=this[2],t[r+3]=this[3],t}}});function ie(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}function ne(e,t,r,s,i,n,h,a,l,c,f,d,p,o,g,x,u){return e[0]=t,e[1]=r,e[2]=s,e[3]=i,e[4]=n,e[5]=h,e[6]=a,e[7]=l,e[8]=c,e[9]=f,e[10]=d,e[11]=p,e[12]=o,e[13]=g,e[14]=x,e[15]=u,e}function he(e){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}function le(e,t){let r=t[0],s=t[1],i=t[2],n=t[3],h=t[4],a=t[5],l=t[6],c=t[7],f=t[8],d=t[9],p=t[10],o=t[11],g=t[12],x=t[13],u=t[14],m=t[15],w=r*a-s*h,y=r*l-i*h,M=r*c-n*h,_=s*l-i*a,F=s*c-n*a,A=i*c-n*l,C=f*x-d*g,T=f*u-p*g,z=f*m-o*g,L=d*u-p*x,b=d*m-o*x,O=p*m-o*u,E=w*O-y*b+M*L+_*z-F*T+A*C;return E?(E=1/E,e[0]=(a*O-l*b+c*L)*E,e[1]=(i*b-s*O-n*L)*E,e[2]=(x*A-u*F+m*_)*E,e[3]=(p*F-d*A-o*_)*E,e[4]=(l*z-h*O-c*T)*E,e[5]=(r*O-i*z+n*T)*E,e[6]=(u*M-g*A-m*y)*E,e[7]=(f*A-p*M+o*y)*E,e[8]=(h*b-a*z+c*C)*E,e[9]=(s*z-r*b-n*C)*E,e[10]=(g*F-x*M+m*w)*E,e[11]=(d*M-f*F-o*w)*E,e[12]=(a*T-h*L-l*C)*E,e[13]=(r*L-s*T+i*C)*E,e[14]=(x*y-g*_-u*w)*E,e[15]=(f*_-d*y+p*w)*E,e):null}function ht(e){let t=e[0],r=e[1],s=e[2],i=e[3],n=e[4],h=e[5],a=e[6],l=e[7],c=e[8],f=e[9],d=e[10],p=e[11],o=e[12],g=e[13],x=e[14],u=e[15],m=t*h-r*n,w=t*a-s*n,y=t*l-i*n,M=r*a-s*h,_=r*l-i*h,F=s*l-i*a,A=c*g-f*o,C=c*x-d*o,T=c*u-p*o,z=f*x-d*g,L=f*u-p*g,b=d*u-p*x;return m*b-w*L+y*z+M*T-_*C+F*A}function lt(e,t,r){let s=t[0],i=t[1],n=t[2],h=t[3],a=t[4],l=t[5],c=t[6],f=t[7],d=t[8],p=t[9],o=t[10],g=t[11],x=t[12],u=t[13],m=t[14],w=t[15],y=r[0],M=r[1],_=r[2],F=r[3];return e[0]=y*s+M*a+_*d+F*x,e[1]=y*i+M*l+_*p+F*u,e[2]=y*n+M*c+_*o+F*m,e[3]=y*h+M*f+_*g+F*w,y=r[4],M=r[5],_=r[6],F=r[7],e[4]=y*s+M*a+_*d+F*x,e[5]=y*i+M*l+_*p+F*u,e[6]=y*n+M*c+_*o+F*m,e[7]=y*h+M*f+_*g+F*w,y=r[8],M=r[9],_=r[10],F=r[11],e[8]=y*s+M*a+_*d+F*x,e[9]=y*i+M*l+_*p+F*u,e[10]=y*n+M*c+_*o+F*m,e[11]=y*h+M*f+_*g+F*w,y=r[12],M=r[13],_=r[14],F=r[15],e[12]=y*s+M*a+_*d+F*x,e[13]=y*i+M*l+_*p+F*u,e[14]=y*n+M*c+_*o+F*m,e[15]=y*h+M*f+_*g+F*w,e}function ae(e,t,r){let s=r[0],i=r[1],n=r[2],h,a,l,c,f,d,p,o,g,x,u,m;return t===e?(e[12]=t[0]*s+t[4]*i+t[8]*n+t[12],e[13]=t[1]*s+t[5]*i+t[9]*n+t[13],e[14]=t[2]*s+t[6]*i+t[10]*n+t[14],e[15]=t[3]*s+t[7]*i+t[11]*n+t[15]):(h=t[0],a=t[1],l=t[2],c=t[3],f=t[4],d=t[5],p=t[6],o=t[7],g=t[8],x=t[9],u=t[10],m=t[11],e[0]=h,e[1]=a,e[2]=l,e[3]=c,e[4]=f,e[5]=d,e[6]=p,e[7]=o,e[8]=g,e[9]=x,e[10]=u,e[11]=m,e[12]=h*s+f*i+g*n+t[12],e[13]=a*s+d*i+x*n+t[13],e[14]=l*s+p*i+u*n+t[14],e[15]=c*s+o*i+m*n+t[15]),e}function ce(e,t,r){let s=r[0],i=r[1],n=r[2];return e[0]=t[0]*s,e[1]=t[1]*s,e[2]=t[2]*s,e[3]=t[3]*s,e[4]=t[4]*i,e[5]=t[5]*i,e[6]=t[6]*i,e[7]=t[7]*i,e[8]=t[8]*n,e[9]=t[9]*n,e[10]=t[10]*n,e[11]=t[11]*n,e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}function fe(e,t,r,s){let i=s[0],n=s[1],h=s[2],a=Math.hypot(i,n,h),l,c,f,d,p,o,g,x,u,m,w,y,M,_,F,A,C,T,z,L,b,O,E,I;return Math.abs(a)<$e?null:(a=1/a,i*=a,n*=a,h*=a,l=Math.sin(r),c=Math.cos(r),f=1-c,d=t[0],p=t[1],o=t[2],g=t[3],x=t[4],u=t[5],m=t[6],w=t[7],y=t[8],M=t[9],_=t[10],F=t[11],A=i*i*f+c,C=n*i*f+h*l,T=h*i*f-n*l,z=i*n*f-h*l,L=n*n*f+c,b=h*n*f+i*l,O=i*h*f+n*l,E=n*h*f-i*l,I=h*h*f+c,e[0]=d*A+x*C+y*T,e[1]=p*A+u*C+M*T,e[2]=o*A+m*C+_*T,e[3]=g*A+w*C+F*T,e[4]=d*z+x*L+y*b,e[5]=p*z+u*L+M*b,e[6]=o*z+m*L+_*b,e[7]=g*z+w*L+F*b,e[8]=d*O+x*E+y*I,e[9]=p*O+u*E+M*I,e[10]=o*O+m*E+_*I,e[11]=g*O+w*E+F*I,t!==e&&(e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e)}function de(e,t){return e[0]=t[12],e[1]=t[13],e[2]=t[14],e}function at(e,t){let r=t[0],s=t[1],i=t[2],n=t[4],h=t[5],a=t[6],l=t[8],c=t[9],f=t[10];return e[0]=Math.hypot(r,s,i),e[1]=Math.hypot(n,h,a),e[2]=Math.hypot(l,c,f),e}function pe(e){let t=e[0],r=e[1],s=e[2],i=e[4],n=e[5],h=e[6],a=e[8],l=e[9],c=e[10],f=t*t+r*r+s*s,d=i*i+n*n+h*h,p=a*a+l*l+c*c;return Math.sqrt(Math.max(f,d,p))}function oe(e,t,r,s){let 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t.length?this.copy(t):(Te(this,t,r,s,i,n,h,a,l,c),this)}translate(t,r=this){return Ve(this,r,t),this}rotate(t,r=this){return Re(this,r,t),this}scale(t,r=this){return ve(this,r,t),this}multiply(t,r){return r?pt(this,t,r):pt(this,this,t),this}identity(){return Le(this),this}copy(t){return Ce(this,t),this}fromMatrix4(t){return be(this,t),this}fromQuaternion(t){return Se(this,t),this}fromBasis(t,r,s){return this.set(t[0],t[1],t[2],r[0],r[1],r[2],s[0],s[1],s[2]),this}inverse(t=this){return Oe(this,t),this}getNormalMatrix(t){return Ie(this,t),this}}});var er,D,De=S(()=>{ze();Pe();W();er=0,D=class extends Z{constructor(t,{geometry:r,program:s,mode:i=t.TRIANGLES,frustumCulled:n=!0,renderOrder:h=0}={}){super(),t.canvas||console.error("gl not passed as first argument to Mesh"),this.gl=t,this.id=er++,this.geometry=r,this.program=s,this.mode=i,this.frustumCulled=n,this.renderOrder=h,this.modelViewMatrix=new R,this.normalMatrix=new j,this.beforeRenderCallbacks=[],this.afterRenderCallbacks=[]}onBeforeRender(t){return this.beforeRenderCallbacks.push(t),this}onAfterRender(t){return this.afterRenderCallbacks.push(t),this}draw({camera:t}={}){t&&(this.program.uniforms.modelMatrix||Object.assign(this.program.uniforms,{modelMatrix:{value:null},viewMatrix:{value:null},modelViewMatrix:{value:null},normalMatrix:{value:null},projectionMatrix:{value:null},cameraPosition:{value:null}}),this.program.uniforms.projectionMatrix.value=t.projectionMatrix,this.program.uniforms.cameraPosition.value=t.worldPosition,this.program.uniforms.viewMatrix.value=t.viewMatrix,this.modelViewMatrix.multiply(t.viewMatrix,this.worldMatrix),this.normalMatrix.getNormalMatrix(this.modelViewMatrix),this.program.uniforms.modelMatrix.value=this.worldMatrix,this.program.uniforms.modelViewMatrix.value=this.modelViewMatrix,this.program.uniforms.normalMatrix.value=this.normalMatrix),this.beforeRenderCallbacks.forEach(s=>s&&s({mesh:this,camera:t}));let r=this.program.cullFace&&this.worldMatrix.determinant()<0;this.program.use({flipFaces:r}),this.geometry.draw({mode:this.mode,program:this.program}),this.afterRenderCallbacks.forEach(s=>s&&s({mesh:this,camera:t}))}}});var N,Ne=S(()=>{Ot();N=class extends X{constructor(t,{attributes:r={}}={}){Object.assign(r,{position:{size:2,data:new Float32Array([-1,-1,3,-1,-1,3])},uv:{size:2,data:new Float32Array([0,0,2,0,0,2])}}),super(t,r)}}});var qe=S(()=>{It();Bt();De();Ne()});var rr=Ue(()=>{qe();window.OGL={Renderer:P,Triangle:N,Program:B,Mesh:D}});rr();})();
</script>
<script>function initPrism(container, opts) {
  opts = opts || {};
  if (!container || !window.OGL) return;
  var Renderer = window.OGL.Renderer, Triangle = window.OGL.Triangle, Program = window.OGL.Program, Mesh = window.OGL.Mesh;

  var height = opts.height ?? 3.5;
  var baseWidth = opts.baseWidth ?? 5.5;
  var animationType = opts.animationType ?? 'rotate';
  var glow = opts.glow ?? 1;
  var offset = opts.offset ?? { x: 0, y: 0 };
  var noise = opts.noise ?? 0.5;
  var transparent = opts.transparent ?? true;
  var scale = opts.scale ?? 3.6;
  var hueShift = opts.hueShift ?? 0;
  var colorFrequency = opts.colorFrequency ?? 1;
  var hoverStrength = opts.hoverStrength ?? 2;
  var inertia = opts.inertia ?? 0.05;
  var bloom = opts.bloom ?? 1;
  var suspendWhenOffscreen = opts.suspendWhenOffscreen ?? false;
  var timeScale = opts.reduceMotion ? 0 : (opts.timeScale ?? 0.5);

  var H = Math.max(0.001, height);
  var BW = Math.max(0.001, baseWidth);
  var BASE_HALF = BW * 0.5;
  var GLOW = Math.max(0.0, glow);
  var NOISE = Math.max(0.0, noise);
  var offX = offset?.x ?? 0;
  var offY = offset?.y ?? 0;
  var SAT = transparent ? 1.5 : 1;
  var SCALE = Math.max(0.001, scale);
  var HUE = hueShift || 0;
  var CFREQ = Math.max(0.0, colorFrequency || 1);
  var BLOOM = Math.max(0.0, bloom || 1);
  var RSX = 1, RSY = 1, RSZ = 1;
  var TS = Math.max(0, timeScale || (opts.reduceMotion ? 0 : 1));
  var HOVSTR = Math.max(0, hoverStrength || 1);
  var INERT = Math.max(0, Math.min(1, inertia || 0.12));

  var dpr = Math.min(2, window.devicePixelRatio || 1);
  var renderer = new Renderer({ dpr: dpr, alpha: transparent, antialias: false });
  var gl = renderer.gl;
  gl.disable(gl.DEPTH_TEST);
  gl.disable(gl.CULL_FACE);
  gl.disable(gl.BLEND);

  Object.assign(gl.canvas.style, { position: 'absolute', inset: '0', width: '100%', height: '100%', display: 'block' });
  container.appendChild(gl.canvas);

  var vertex = "attribute vec2 position;\nvoid main() {\ngl_Position = vec4(position, 0.0, 1.0);\n}";

  var fragment = "\
    precision highp float;\
    uniform vec2  iResolution;\
    uniform float iTime;\
    uniform float uHeight;\
    uniform float uBaseHalf;\
    uniform mat3  uRot;\
    uniform int   uUseBaseWobble;\
    uniform float uGlow;\
    uniform vec2  uOffsetPx;\
    uniform float uNoise;\
    uniform float uSaturation;\
    uniform float uScale;\
    uniform float uHueShift;\
    uniform float uColorFreq;\
    uniform float uBloom;\
    uniform float uCenterShift;\
    uniform float uInvBaseHalf;\
    uniform float uInvHeight;\
    uniform float uMinAxis;\
    uniform float uPxScale;\
    uniform float uTimeScale;\
    vec4 tanh4(vec4 x){\
      vec4 e2x = exp(2.0*x);\
      return (e2x - 1.0) / (e2x + 1.0);\
    }\
    float rand(vec2 co){\
      return fract(sin(dot(co, vec2(12.9898, 78.233))) * 43758.5453123);\
    }\
    float sdOctaAnisoInv(vec3 p){\
      vec3 q = vec3(abs(p.x) * uInvBaseHalf, abs(p.y) * uInvHeight, abs(p.z) * uInvBaseHalf);\
      float m = q.x + q.y + q.z - 1.0;\
      return m * uMinAxis * 0.5773502691896258;\
    }\
    float sdPyramidUpInv(vec3 p){\
      float oct = sdOctaAnisoInv(p);\
      float halfSpace = -p.y;\
      return max(oct, halfSpace);\
    }\
    mat3 hueRotation(float a){\
      float c = cos(a), s = sin(a);\
      mat3 W = mat3(\
        0.299, 0.587, 0.114,\
        0.299, 0.587, 0.114,\
        0.299, 0.587, 0.114\
      );\
      mat3 U = mat3(\
         0.701, -0.587, -0.114,\
        -0.299,  0.413, -0.114,\
        -0.300, -0.588,  0.886\
      );\
      mat3 V = mat3(\
         0.168, -0.331,  0.500,\
         0.328,  0.035, -0.500,\
        -0.497,  0.296,  0.201\
      );\
      return W + U * c + V * s;\
    }\
    void main(){\
      vec2 f = (gl_FragCoord.xy - 0.5 * iResolution.xy - uOffsetPx) * uPxScale;\
      float z = 5.0;\
      float d = 0.0;\
      vec3 p;\
      vec4 o = vec4(0.0);\
      float centerShift = uCenterShift;\
      float cf = uColorFreq;\
      mat2 wob = mat2(1.0);\
      if (uUseBaseWobble == 1) {\
        float t = iTime * uTimeScale;\
        float c0 = cos(t + 0.0);\
        float c1 = cos(t + 33.0);\
        float c2 = cos(t + 11.0);\
        wob = mat2(c0, c1, c2, c0);\
      }\
      const int STEPS = 100;\
      for (int i = 0; i < STEPS; i++) {\
        p = vec3(f, z);\
        p.xz = p.xz * wob;\
        p = uRot * p;\
        vec3 q = p;\
        q.y += centerShift;\
        d = 0.1 + 0.2 * abs(sdPyramidUpInv(q));\
        z -= d;\
        o += (sin((p.y + z) * cf + vec4(0.0, 1.0, 2.0, 3.0)) + 1.0) / d;\
      }\
      o = tanh4(o * o * (uGlow * uBloom) / 1e5);\
      vec3 col = o.rgb;\
      float n = rand(gl_FragCoord.xy + vec2(iTime));\
      col += (n - 0.5) * uNoise;\
      col = clamp(col, 0.0, 1.0);\
      float L = dot(col, vec3(0.2126, 0.7152, 0.0722));\
      col = clamp(mix(vec3(L), col, uSaturation), 0.0, 1.0);\
      if(abs(uHueShift) > 0.0001){\
        col = clamp(hueRotation(uHueShift) * col, 0.0, 1.0);\
      }\
      gl_FragColor = vec4(col, o.a);\
    }";

  var geometry = new Triangle(gl);
  var iResBuf = new Float32Array(2);
  var offsetPxBuf = new Float32Array(2);

  var program = new Program(gl, {
    vertex: vertex,
    fragment: fragment,
    uniforms: {
      iResolution: { value: iResBuf },
      iTime: { value: 0 },
      uHeight: { value: H },
      uBaseHalf: { value: BASE_HALF },
      uUseBaseWobble: { value: 1 },
      uRot: { value: new Float32Array([1, 0, 0, 0, 1, 0, 0, 0, 1]) },
      uGlow: { value: GLOW },
      uOffsetPx: { value: offsetPxBuf },
      uNoise: { value: NOISE },
      uSaturation: { value: SAT },
      uScale: { value: SCALE },
      uHueShift: { value: HUE },
      uColorFreq: { value: CFREQ },
      uBloom: { value: BLOOM },
      uCenterShift: { value: H * 0.25 },
      uInvBaseHalf: { value: 1 / BASE_HALF },
      uInvHeight: { value: 1 / H },
      uMinAxis: { value: Math.min(BASE_HALF, H) },
      uPxScale: { value: 1 / ((gl.drawingBufferHeight || 1) * 0.1 * SCALE) },
      uTimeScale: { value: TS }
    }
  });
  var mesh = new Mesh(gl, { geometry: geometry, program: program });

  var resize = function () {
    var w = container.clientWidth || 1;
    var h = container.clientHeight || 1;
    renderer.setSize(w, h);
    iResBuf[0] = gl.drawingBufferWidth;
    iResBuf[1] = gl.drawingBufferHeight;
    offsetPxBuf[0] = offX * dpr;
    offsetPxBuf[1] = offY * dpr;
    program.uniforms.uPxScale.value = 1 / ((gl.drawingBufferHeight || 1) * 0.1 * SCALE);
  };
  var ro = new ResizeObserver(resize);
  ro.observe(container);
  resize();

  var rotBuf = new Float32Array(9);
  var setMat3FromEuler = function (yawY, pitchX, rollZ, out) {
    var cy = Math.cos(yawY), sy = Math.sin(yawY);
    var cx = Math.cos(pitchX), sx = Math.sin(pitchX);
    var cz = Math.cos(rollZ), sz = Math.sin(rollZ);
    var r00 = cy * cz + sy * sx * sz;
    var r01 = -cy * sz + sy * sx * cz;
    var r02 = sy * cx;
    var r10 = cx * sz;
    var r11 = cx * cz;
    var r12 = -sx;
    var r20 = -sy * cz + cy * sx * sz;
    var r21 = sy * sz + cy * sx * cz;
    var r22 = cy * cx;
    out[0] = r00; out[1] = r10; out[2] = r20;
    out[3] = r01; out[4] = r11; out[5] = r21;
    out[6] = r02; out[7] = r12; out[8] = r22;
    return out;
  };

  var NOISE_IS_ZERO = NOISE < 1e-6;
  var raf = 0;
  var t0 = performance.now();
  var startRAF = function () { if (raf) return; raf = requestAnimationFrame(render); };
  var stopRAF = function () { if (!raf) return; cancelAnimationFrame(raf); raf = 0; };

  var rnd = function () { return Math.random(); };
  var wX = (0.3 + rnd() * 0.6) * RSX;
  var wY = (0.2 + rnd() * 0.7) * RSY;
  var wZ = (0.1 + rnd() * 0.5) * RSZ;
  var phX = rnd() * Math.PI * 2;
  var phZ = rnd() * Math.PI * 2;

  var yaw = 0, pitch = 0, roll = 0;
  var targetYaw = 0, targetPitch = 0;
  var lerp = function (a, b, t) { return a + (b - a) * t; };

  var pointer = { x: 0, y: 0, inside: true };
  var onMove = function (e) {
    var ww = Math.max(1, window.innerWidth);
    var wh = Math.max(1, window.innerHeight);
    var cx = ww * 0.5, cy = wh * 0.5;
    var nx = (e.clientX - cx) / (ww * 0.5);
    var ny = (e.clientY - cy) / (wh * 0.5);
    pointer.x = Math.max(-1, Math.min(1, nx));
    pointer.y = Math.max(-1, Math.min(1, ny));
    pointer.inside = true;
  };
  var onLeave = function () { pointer.inside = false; };
  var onBlur = function () { pointer.inside = false; };

  if (animationType === 'hover') {
    var onPointerMove = function (e) { onMove(e); startRAF(); };
    window.addEventListener('pointermove', onPointerMove, { passive: true });
    window.addEventListener('mouseleave', onLeave);
    window.addEventListener('blur', onBlur);
    program.uniforms.uUseBaseWobble.value = 0;
  } else if (animationType === '3drotate') {
    program.uniforms.uUseBaseWobble.value = 0;
  } else {
    program.uniforms.uUseBaseWobble.value = 1;
  }

  var render = function (t) {
    var time = (t - t0) * 0.001;
    program.uniforms.iTime.value = time;
    var continueRAF = true;

    if (animationType === 'hover') {
      var maxPitch = 0.6 * HOVSTR;
      var maxYaw = 0.6 * HOVSTR;
      targetYaw = (pointer.inside ? -pointer.x : 0) * maxYaw;
      targetPitch = (pointer.inside ? pointer.y : 0) * maxPitch;
      var prevYaw = yaw, prevPitch = pitch, prevRoll = roll;
      yaw = lerp(prevYaw, targetYaw, INERT);
      pitch = lerp(prevPitch, targetPitch, INERT);
      roll = lerp(prevRoll, 0, 0.1);
      program.uniforms.uRot.value = setMat3FromEuler(yaw, pitch, roll, rotBuf);
      if (NOISE_IS_ZERO) {
        var settled = Math.abs(yaw - targetYaw) < 1e-4 && Math.abs(pitch - targetPitch) < 1e-4 && Math.abs(roll) < 1e-4;
        if (settled) continueRAF = false;
      }
    } else if (animationType === '3drotate') {
      var tScaled = time * TS;
      yaw = tScaled * wY;
      pitch = Math.sin(tScaled * wX + phX) * 0.6;
      roll = Math.sin(tScaled * wZ + phZ) * 0.5;
      program.uniforms.uRot.value = setMat3FromEuler(yaw, pitch, roll, rotBuf);
      if (TS < 1e-6) continueRAF = false;
    } else {
      rotBuf[0] = 1; rotBuf[1] = 0; rotBuf[2] = 0;
      rotBuf[3] = 0; rotBuf[4] = 1; rotBuf[5] = 0;
      rotBuf[6] = 0; rotBuf[7] = 0; rotBuf[8] = 1;
      program.uniforms.uRot.value = rotBuf;
      if (TS < 1e-6) continueRAF = false;
    }

    renderer.render({ scene: mesh });
    if (continueRAF) { raf = requestAnimationFrame(render); } else { raf = 0; }
  };

  if (suspendWhenOffscreen) {
    var io = new IntersectionObserver(function (entries) {
      var vis = entries.some(function (e) { return e.isIntersecting; });
      if (vis) startRAF(); else stopRAF();
    });
    io.observe(container);
    startRAF();
  } else {
    startRAF();
  }
}

document.addEventListener('DOMContentLoaded', function () {
  var el = document.getElementById('heroPrism');
  if (el) {
    initPrism(el, {
      height: 3.5,
      baseWidth: 5.5,
      animationType: 'rotate',
      glow: 1,
      noise: 0.5,
      transparent: true,
      scale: 3.6,
      hueShift: 0,
      colorFrequency: 1,
      hoverStrength: 2,
      inertia: 0.05,
      bloom: 1,
      timeScale: 0.5,
      suspendWhenOffscreen: true,
      reduceMotion: window.matchMedia('(prefers-reduced-motion: reduce)').matches
    });
  }
});
</script>/* End custom CSS */